{"image_path": "images/d1985fea1fc45e79192d79dcb02a7230.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称单位数量单价金额
粉笔1223元/盒
黑板擦952元/个
钢笔4518元/支
墨水454元/瓶
总计/元
"} {"image_path": "images/8a803a835684023e1121802969016719.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A) constitutesB) contradictoryC) decisionD) detailedE) difference
F) dippingG) distinctionH) fallingI) involvesJ) moderate
K) notifiedL) partlyM) requiredN) traditionallyO) vigorous
"} {"image_path": "images/95f4806450befd3d3057acf05f6c5f44.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
焊机容量(kV—A)钢筋级别钢筋直径(mm)
160
(150)
HPB235
HRB335
HRB400
RRB400
20
22
20
20
100HPB235
HRB335
HRB400
RRB400
20
18
16
16
80
(75)
HPB235
HRB335
HRB400
RRB400
16
14
12
12
40HPB235
Q235
10
"} {"image_path": "images/724efac983327f36fc31b16cb02d916d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
国别英国德国挪威奥地利意大利丹麦捷克斯洛伐克
时间1921.31921.51921.91921.121921.121922.41921.5
"} {"image_path": "images/e05718488acf0ac6319c32d714f14f33.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
In ChannelOut Channelkernel sizestrideoutput paddingpadding
DeConv1-ReLU88221
DeConv2-ReLU8822
DeConv3-ReLU8822
Conv-Sigmoid8131
"} {"image_path": "images/8cae5472c97eaaf0c165542e5005612c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)汕头市结核病防治所
建设项目名称汕头市结核病防治所电梯加建项目
建设位置红领巾路1号
建设规模1座7层电梯,总建筑面积:$ 71.79m^{2} $(计容建筑面积$ 71.79m^{2} $)。
附图及附件名称
建设工程设计方案一式一份
建设工程设计方案总平面图一式一份
建设工程规划许可意见表一式二份
"} {"image_path": "images/e9b3aab6d33b27ce0eb2193f93dcc73a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目要求
优等品一等品合格品
色牢度/级 $ \\geqslant $耐光43

$ ^{a} $ 使用说明中明示可水洗产品考核水洗尺寸变化率,只可干洗产品考核干洗尺寸变化率,不可洗涤产品不考核。

$ ^{b} $ 仅考核使用说明明示可水洗产品。

$ ^{c} $ 仅考核使用说明明示可干洗产品。

"} {"image_path": "images/53b0fc15b3ff0496e328c41be51424e6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": " \t \t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \t\t\t\t\t\t\t\t \t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \t\t \t\t\t\t\t\t \t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
牌号状态尺寸规格\t\t\t
mm
厚度 T宽度管芯内径卷外径
1035、1050、1060、1070、1100、1145、1200、1235O0.004 0~0.200 050.0~1890.075.0、76.2、150.0、152.4、300.0、305.0、400.0、406.0150~1200
H22>0.004 5~0.200 0
H14、H240.004 5~0.200 0
H16、H260.004 5~0.200 0
H180.004 5~0.200 0
H19>0.006 0~0.200 0
2A11、2024O、H180.030 0~0.200 0100~1200
3003O0.009 0~0.200 0100~1850
H12、H220.020 0~0.200 0
H14、H240.027 0~0.200 0
H16、H260.100 0~0.200 0
H180.010 0~0.200 0
H190.017 0~0.150 0
3004、3005、3104、3105O、H190.030 0~0.200 0
3102H180.080 0~0.200 0
4A13O、H180.030 0~0.200 0
5A02O0.030 0~0.200 0
H16、H260.100 0~0.200 0
H180.020 0~0.200 0
5B02H180.030 0~0.040 0
5005O0.130 0~0.160 0
5052O0.030 0~0.200 0
H14、H240.050 0~0.200 0
H16、H260.100 0~0.200 0
H180.050 0~0.200 0
H19>0.100 0~0.200 0
5082、5083O、H18、H380.100 0~0.200 0
8006O0.006 0~0.200 0250~1200
H220.035 0~0.200 0
H240.035 0~0.200 0
H260.035 0~0.200 0
H180.018 0~0.200 0
8021、8021BO0.005 0~0.090 0
O0.005 0~0.200 0
8011、8011A、8079、8111H220.035 0~0.200 0
H14、H240.035 0~0.200 0
H260.035 0~0.200 0
H180.010 0~0.200 0
H190.020 0~0.200 0
"} {"image_path": "images/8e2e016ae3ce4062845b3dc469c5877e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
班级三年级2班撰稿日期3月28日
投稿人徐瑞遥班主任签字
稿件内容
"} {"image_path": "images/402e7bf464a240be24f0bd27661544d6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目光纤用半导体用
四氯化硅( $ SiCl_{4} $ )纯度(体积分数)/ $ 10^{-2} $ ≥99.9≥99.99
三氯氢硅( $ SiHCl_{3} $ )含量(体积分数)/ $ 10^{-6} $ ≤400≤25
二氯硅烷( $ SiH_{2}Cl_{2} $ )含量(体积分数)/ $ 10^{-6} $ ≤400≤25
甲基二氯硅烷( $ SiCl_{2}CH_{4} $ )含量(体积分数)/ $ 10^{-6} $ ≤200≤50
金属元素及其他元素含量(硼+铝)(B+Al)含量/(μg/kg)≤0.10
(磷+砷)(P+As)含量/(μg/kg)≤0.30
镓( Ga )含量/(μg/kg)≤0.50
锑( Sb )含量/(μg/kg)≤0.50
铟( In )含量/(μg/kg)≤0.50
钙( Ca )含量/(μg/kg)≤1.00≤0.50
铬( Cr )含量/(μg/kg)≤1.00≤0.50
铁( Fe )含量/(μg/kg)≤1.00≤0.50
钾( K )含量/(μg/kg)≤1.00≤0.50
钠( Na )含量/(μg/kg)≤1.00≤0.50
镍( Ni )含量/(μg/kg)≤1.00≤0.50
钼( Mo )含量/(μg/kg)≤1.00≤0.50
锰( Mn )含量/(μg/kg)≤1.00≤0.50
铜( Cu )含量/(μg/kg)≤1.00≤0.50
镉( Cd )含量/(μg/kg)≤1.00≤0.50
钴( Co )含量/(μg/kg)≤1.00≤0.50
锌( Zn )含量/(μg/kg)≤1.00≤0.50
钒( V )含量/(μg/kg)≤1.00≤0.50
"} {"image_path": "images/966e4588deeaaffa69b3540cbaf7a653.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.
(编号)
CAS No.
(化学文摘编号)
Forbidden Arylamine
(化学名称)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
92-67-1
92-87-5
95-69-2
91-59-8
97-56-3
99-55-8
106-47-8
615-05-4
101-77-9
91-94-1
119-90-4
119-93-7
838-88-0
120-71-8
101-14-4
101-80-4
139-65-1
95-53-4
95-80-7
137-17-7
90-04-0
60-09-3
95-68-1
87-62-7
4-aminobiphenyl(4-氨基联苯)
benzidine(联苯胺)
4-chloro-o-toluidine(4-氯邻甲苯胺)
2-naphthylamine(2-萘胺)
o-aminoazotoluene(邻氨基偶氮甲苯)
5-nitro-o-toluidine(5-硝基-邻甲苯胺)
p-chloroaniline(对氯苯胺)
2,4-diaminoanisole(2,4-二氨基苯甲醚)
4,4'-diaminobiphenylmethane(4,4'-二氨基二苯甲烷)
3,3'-dichlorobenzidine(3,3'-二氯联苯胺)
3,3'-dimethoxybenzidine(3,3'-二甲氧基联苯胺)
3,3'-dimethylbenzidine(3,3'-二甲基联苯胺)
3,3'-dimethyl-4,4'-diaminobiphenylmethane(3,3'-二甲基-4,4'-二氨基二苯甲烷)
p-cresidine(2-甲氧基-5-甲基苯胺)
4,4'-methylene-bis-(2-chloroaniline)(4,4'-亚甲基-二-(2-氯苯胺))
4,4'-oxydianiline(4,4'-二氨基二苯醚)
4,4'-thiodianiline(4,4'-二氨基二苯硫醚)
o-toluidine(邻甲苯胺)
2,4-toluylenediamine(2,4-二氨基甲苯)
2,4,5-trimethylaniline(2,4,5-三甲基苯胺)
o-anisidine(邻氨基苯甲醚)
4-aminoazobenzene(4-氨基偶氮苯)
2,4-xylidine(2,4-二甲基苯胺)
2,6-xylidine(2,6-二甲基苯胺)
"} {"image_path": "images/113eb2178ae360ef30bde9f69ff0431a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
方案一
成人票:60元/人
儿童半价
方案二
团体票:45元/人
(10人及以上,可购买团体票)
"} {"image_path": "images/90da2a6f0ce57d7bf4c19e1a17c86aa1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产负债表2023A2024E2025E2026E
流动资产:
现金及现金等价物7,2128,0789,15410,373
应收款243386400414
存货3,8644,5544,6524,716
其他流动资产236203206227
流动资产合计11,55513,22214,41215,729
非流动资产:
金融类资产0000
固定资产7,6647,2146,7586,317
在建工程10141166
无形资产1,002952902854
长期股权投资576576576576
其他非流动资产332332332332
非流动资产合计9,6769,1158,5848,086
资产总计21,23122,33722,99623,815
流动负债:
短期借款540580600610
应付账款、票据1,2391,7931,7061,684
其他流动负债3,0993,0993,0993,099
流动负债合计6,2636,8016,7716,790
非流动负债:
长期借款0000
其他非流动负债191191191191
非流动负债合计191191191191
负债合计6,4546,9926,9626,981
所有者权益
股本2,8192,8192,8192,819
股东权益14,77715,34516,03416,834
负债和所有者权益21,23122,33722,99623,815
"} {"image_path": "images/43119c68f1e2b7cfd15982bf643c310d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
行号款号颜色262728293031SM数量单价金额
1A9760#浅色101010101055588.004840.00
2A9018#粉色浅色1165.0065.00
3A9018#蓝色浅色1165.0065.00
4A7105#浅色1190.0090.00
5A9813#浅色1178.0078.00
6A7065#深色5898554087.003480.00
合计金额(大写):捌仟陆佰壹拾捌元零角15191918151012998618.00
"} {"image_path": "images/dbfcae813d6ffc66d405dcc7e3a09108.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
样品名称口口笑大碗面生产日期20220721
商标/样品编号20220721
型号/规格/等级散装保质期6个月
样品数量1.6kg抽样基数5包
抽(送)样日期2022/7/21样品状态正常检验日期2022年7月21日
检验依据Q/GS000IS-2021
检验环境条件按标准要求
检测结果检测项目检测方法单位检测低限指标要求检查结果单项评价
感官外观Q/GS000IS-2021//光滑、粗细一致、结构紧凑、无霉变符合合格
色泽具有该品种固有的色泽
气味气味正常,无酸馊味,霉味或其他异味
烹调性煮熟后不沾糊、不夹生、不牙碜、柔软爽滑,有韧性
杂质无肉眼可见外来杂质
标签、标识GB7718\\GB28050及国家质检总局第123号令<<食品表示管理规定>>//符合GB7718\\GB28050及国家质检总局第123号令<<食品表示管理规定>>符合合格
净含量JJF 1070kg//4.5公斤合格
水分GB5009.3%/≤1512%合格
酸度GB/T5517/≤4.00.6合格
检验结论样品所检项目符合Q/GS000IS-2021
2022年7月21日
"} {"image_path": "images/2e28d3e3422f86961bdc1a69f53a0816.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)广东大参林医药科技有限公司
建设项目名称汕头大参林医药产业基地项目(管理配套及侯工楼、通用房 1、物流仓库)
建设位置汕头市金平区𬶍江街道金平工业区现代产业集聚区片区 B 地块(汕头金平工业园区)
建设规模一栋 21 层高层管理配套及侯工楼,一栋 6 层高层厂房,一栋 6 层高层物流仓库(产业型),两处一层门房,一层地下室。项目总建筑面积为 72653.48$ m^{2} $,计容面积为 65980.36$ m^{2} $,地下室面积为 2603.10$ m^{2} $,围墙长度约 625 米。规划拟建人防面积为 1976.02$ m^{2} $,位于管理配套及侯工楼地下室,容积率 3.23。
附件附图名称:
建设工程设计方案一式一份
建设工程设计方案总平面图一式一份
建设工程规划许可意见表一式二份
"} {"image_path": "images/f8d1cf006868092b0e5c9780a90fbd26.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
螺纹规格
(D)或
(D×P)
试验夹紧力
$ F_{{80}^{a}} $/N
评价总摩擦系数($ \\mu_{{tot}^{b}} $)夹紧力有效力矩/(N·m)
上限
$ F_{{75}^{c}} $/N
下限
$ F_{{65}^{d}} $/N
第 1 次拧入
$ T_Fv,{max}^{e} $
第 1 次拧出
$ T_{Fd,min} $
第 5 次拧出
$ T_{Fd,min} $
M2292 08086 32574 815689.56.5
$ M22\\times1.5 $101 20094 87582 225
M24107 280100 57587 1658011.58
$ M24\\times2 $116 720109 42594 835
M27139 520130 800113 3609413.510
$ M27\\times2 $150 800141 375122 525
M30170 560159 900138 5801081612
$ M30\\times2 $188 800177 000153 400
M33210 960197 775171 4051221814
$ M33\\times2 $231 360216 900187 980
M36248 400232 875201 8251362116
$ M36\\times3 $262 960246 525213 655
M39296 720278 175241 0851502318
$ M39\\times3 $313 120293 550254 410
注:用统计过程控制方法(SPC)对有效力矩试验的评定与统计无关。
a 5 mm≤D≤39 mm 的 04 级螺母的夹紧力,等于 04 级螺母保证载荷的 80%。保证载荷值在 GB/T 3098.2 中给出。
b 参见附录 B。
c 夹紧力上限值等于保证载荷的 75%,参见附录 B。
d 夹紧力下限值等于保证载荷的 65%,参见附录 B。
e 第 1 次拧入有效力矩仅适用于全金属锁紧螺母;对非金属嵌件锁紧螺母,第 1 次拧入有效力矩的最大值为这些数值的 50%。
"} {"image_path": "images/57efe39f0dc6a626c395c544d2378ac0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
政治(1)确立县制,由国君直接派官吏治理
(2)废除贵族的世袭特权
(3)改革户籍制度
(4)严明法度,禁止私斗
经济(1)废除井田制,允许土地自由买卖
(2)鼓励耕织,生产粮食、布帛多的人可免除徭役
"} {"image_path": "images/5affff702d89b79d566ccb8b6eb5c058.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号订单编号品名/规格单位数量单价金额备注
112000.002000.00
20.00
30.00
40.00
50.00
60.00
70.00
80.00
90.00
总额(大写):总额(小写): 2000.00
说明:1.货物数量及规格请当面点清验收, 有关质量问题交货三日内提出, 逾期不予退货。
2.货款未全部兑现前,本货物仍属本公司所有。
3.本货物单价为含税单价。
4.结款方式:首付订金60%;货到付清余款的40%
2014.07.28已开发票,号码为:00152566
"} {"image_path": "images/9bd3d4c720e8fc02feca1372e4b4d1a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验结果汇总
序号检验项目单位标准规定值检验值单项结论
1静曲强度MPa⩾11.016.4合格
2内结合强度MPa⩾0.350.53合格
3表面胶合强度MPa⩾0.600.89合格
42h吸水厚度膨胀率%⩽8.00.1合格
5含水率%3.0~13.06.0合格
6密度$ g/cm^{3} $0.60~0.900.70合格
7握螺钉力板面N⩾9001250合格
板边⩾600850
8表面耐冷热循环——无裂纹、鼓泡、变色、起皱等无裂纹、无鼓泡、无变色、无起皱合格
9表面耐磨磨耗值mg/100r⩽8054合格
表面情况——磨100转后应保留50%以上花纹磨100转后留有50%花纹
10表面耐划痕——⩾1.5N表面无大于90%的连续划痕1.5N表面无大于90%的连续划痕合格
11表面耐香烟灼烧——达到4级以上4级合格
12表面耐污染腐蚀——达到5级以上5级合格
13表面耐龟裂——达到4级以上5级合格
14耐光色牢度达到灰度卡4级4级合格
15甲醛释放量最大值mg/LF☆☆☆☆:⩽0.40.2合格
平均值mg/LF☆☆☆☆:⩽0.30.2
以下空白



附注——
"} {"image_path": "images/7d2ccdeb46c5c227865b2bcd14e1108e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验项目英文测定结果单位参考范围
白细胞WBC8.0110^9/L3.5-9.5
淋巴细胞比率LYMPH%22.2%20-50
单核细胞比率MONO%4.6%3-10
中性细胞比率NEUT%71.2%40-75
嗜酸性粒细胞比率EO%1.9%0.4-8.0
嗜碱性粒细胞比率BASO%0.1%0.00-1.00
淋巴细胞数LYMPH#1.7810^9/L1.1-3.2
单核细胞MONO#0.3710^9/L0.1-0.6
中性粒细胞数NEUT#5.7010^9/L1.8-6.3
嗜酸性粒细胞EO#0.1510^9/L0.02-0.52
嗜碱性粒细胞BASO#0.0110^9/L0-0.06
红细胞RBC3.9610^12/L3.8-5.1
血红蛋白HGB123g/L115-150
红细胞比积HCT36.1%35.0-45.0
平均红细胞体积MCV91.2fl82.0-100
平均血红蛋白浓度MCHC341g/L316-354
平均血红蛋白量MCH31.1pg27-34
红细胞分布宽度RDW-S37.4 ↓fl39.0-46.0
红细胞分布宽度RDW-C11.5%0-15.0
血小板PLT27010^9/L125-350
血小板比积PCT0.26%0.11-0.28
血小板分布宽度PDW11.0%9.0-17.0
平均血小板体积MPV9.7fl7.0-13.0
大型血小板比率P-LCR23.0%13.0-43
C-反应蛋白CRP8.0mg/L<10
"} {"image_path": "images/c22002d5d653d92c3f7fbcf87390b78b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检查部位检查记录
土石坝坝顶坝顶道路
坝顶排水
防浪墙
坝体坝体外规形象外貌
上游护坡
下游护坡
下游排水设施
坝肩左坝肩
右坝肩
下游地面排水沟
排水渠
近坝库岸左库岸
右库岸
其他坝体与岸坡连接处
导渗排水沟
注:可根据工程实际情况增减表中内容。
"} {"image_path": "images/2f5249546cb537835f1073d069da72d6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
输入command0:订阅;1:解除订阅
sif_code用户服务码(≥128)
service_callMA_SERVICE_CALL 类型的过程变量,调用时执行服务
service_close当应答消息被完全发送(例如释放缓冲区)时代理者调用的过程
service_desc服务描述符,以\"00\"H 字符结尾的可显示字符串
返回MM_RESULT
"} {"image_path": "images/11f78cc7531de5417f82ac26796f9006.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目单位检测依据检测值GB5749-2006限值结果评价
44隐孢子虫个/10LGB/T5750.12-2006中的5.1<0.1<1合格
45mg/LGB/T5750.6-2006中的1.50.0007≤0.005合格
46mg/L0.0608≤0.7合格
47mg/L<0.0001≤0.002合格
48mg/LGB/T5750.5-2006中的8.3<0.005≤0.5合格
49mg/LGB/T5750.5-2006中的1.50.0031≤0.07合格
50mg/L<0.0005≤0.02合格
51mg/L<0.0005≤0.05合格
52mg/L<0.00005≤0.00001合格
53氯化氰(以$ CN^{-} $计)mg/LGB/T5750.10-2006中的11.1<0.01≤0.07合格
54一氯二溴甲烷mg/LGB/T5750.8-2006中的1.2<0.0003≤0.1合格
55二氯一溴甲烷mg/L0.0016≤0.06合格
56二氯乙酸mg/LSJZSJC-C13-027<0.030≤0.05合格
571,2-二氯乙烷mg/LGB/T5750.8-2006中的附录A<0.00028≤0.03合格
58二氯甲烷mg/L<0.0011≤0.02合格
59三卤甲烷(三氯甲烷、一氯二溴甲烷、二氯一溴甲烷、三溴甲烷的总和)----GB/T5750.8-2006中的1.20.16该类化合物中各种化合物的实测浓度与其各自限值的比值之和不超过1合格
601,1,1-三氯乙烷mg/LGB/T5750.8-2006中的附录A<0.0014≤2合格
61三氯乙酸mg/LSJZSJC-C13-027<0.030≤0.1合格
62三氯乙醛mg/LGB/T5750.10-2006中的8.1<0.001≤0.01合格
632,4,6-三氯酚mg/LCJ/T141-2018<0.0013≤0.2合格
64三溴甲烷mg/LGB/T5750.8-2006中的1.2<0.006≤0.1合格
65七氯mg/LGB/T5750.9-2006中的19.1<0.0002≤0.0004合格
"} {"image_path": "images/d230e366ae09750fe1e027cad4d39ca1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目
要 求试验方法
乙烯共聚物丙烯共聚物
屈服强度MPa≥7≥10GB/T 1040.1
GB/T 1040.2
(模压成型,厚度≥2 mm、50 mm/min)
断裂伸长率%≥500≥400GB/T 1040.1
GB/T 1040.2
(模压成型,厚度≥2 mm、50 mm/min)
"} {"image_path": "images/36e88d065e271829f9f99b39992845c0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验项目单位技术要求检验结果
化学成分硅(Si)%0.405Passed
镁(Mg)%0.588Passed
铁(Fe)%≤0.17Passed
铜(Cu)%≤0.02Passed
锰(Mu)%≤0.08Passed
锌(Zn)%≤0.06Passed
铬(Cr)%≤0.04Passed
钛(Ti)%≤0.03Passed
镍(Mi)% ___ ___
铅(Pb)% ___ ___
铋(Bi)% ___ ___
铬(Zi)% ___ ___
铝(Al)%RenainderRenainder
机械性能抗拉强度$ N/mm^{2} $≥160Passed
屈服强度$ N/mm^{2} $≥110Passed
延伸率%≥8Passed
硬 度9-13度Passed
膜 厚 ___ ___
备注:
检验意见 合格:
"} {"image_path": "images/0ace9a7af648710d807eb3acac20b47a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级指标二级指标单位基准值判定依据
品质属性磷酸盐含量 (以 $ P_{2}O_{5} $ 计)%≤0.2按A.2.8测定,并提供证明材料
$ \\text{去污力}^{b} $-≥相应产品国家标准或行业标准规定指标值按相应标准测定,并提供证明材料
$ \\text{二噁烷}^{c} $mg/kg≤10按A.2.11测定,并提供证明材料
砷 $ {(As)}^{c} $mg/kg≤2按A.2.12测定,并提供证明材料
铅 $ {(Pb)}^{c} $mg/kg≤10按A.2.13测定,并提供证明材料
$ {}^a $ 为污染物末端处理前的指标要求。
$ {}^b $ 产品国家标准或行业标准有去污力指标的要求,样品测试浓度为相应标准规定的80%。
$ {}^c $ 食品用洗涤剂要求。
"} {"image_path": "images/f074e06ac28fb1904be937ae4596c2b4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No项目结果参考区间单位No项目结果参考区间
1白细胞计数12.44 ↑4.4-11.910^9/L20血小板计数210188-472
2中性粒细胞百分率72.5 ↑22.0-65.0%21血小板分布宽度16.212.5-18.1
3淋巴细胞百分率17.3 ↓23.0-69.0%22平均血小板体积8.86.5-13.0
4单核细胞百分率8.52.0-11.0%23大型血小板比例19.113.0-43.0
5嗜酸粒细胞百分率1.60.0-9.0%24血小板比积0.180.17-0.35
6嗜碱粒细胞百分率0.10.0-1.0%25超敏C反应蛋白54.6 ↑<10.0
7中性粒细胞数9.02 ↑1.2-7.010^9/L
8淋巴细胞数2.151.80-6.3010^9/L
9单核细胞数1.06 ↑0.12-0.9310^9/L
10嗜酸性粒细胞数0.200.00-0.6810^9/L
11嗜碱性粒细胞数0.010.00-0.0710^9/L
12红细胞计数4.824.00-5.5010^12/L
13血红蛋白138112-149g/L
14红细胞压积0.400.34-0.43L/L
15红细胞平均体积8276-88fL
16平均血红蛋白含量28.624-30pg
17平均血红蛋白浓度348310-355g/L
18平均分布宽度CV13.90.0-15.0%
19平均分布宽度SD41.737.0-54.0fL
"} {"image_path": "images/047a5ff5497a66fa4c64b2eb3cebfa77.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目单位标准要求(每100kJ)标示值 (每100kJ)≥标示值 (80%)检验结果 (每100kJ)单项判定
41mg18-6921133%28合格
42$ \\mu $g9-3012175%21合格
43mg1.5-7.51.7147%2.5合格
44mg0.25-0.500.27130%0.35合格
45mg0.1-0.30.2100%0.2合格
46$ \\mu $g2.0-11.63.0207%6.2合格
47mg<5220135%27合格
48$ \\mu $g0.25-16.003.25193%6.28合格
49$ \\mu $g0.50-1.500.55138%0.76合格
50mg19-5228107%30合格
51- mg11-3317106%18合格
52净含量单罐净含量 (g)≥800.0800.0合格
53营养标签产品名称、生产日期、保质期、储存方法、生产地址、QS证号、产品的类别及属性、 配料表、营养成分、净含量、特别声明、食用方法及特别宣称合格
54结论:经检验所检项目符合Q/YLSR0005S、GB7718、GB13432,综合判定该批产品为合格品
55备注该产品添加乳双歧杆菌
"} {"image_path": "images/b26b4e85c289a346847707a21ba1348a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建筑物、构筑物或管线名称供热管线形式最小水平净距最小垂直净距
建筑物基础管沟0.5
直埋管道3.0
铁路钢轨(或坡脚)管沟、直埋管道5.0轨底 1.2
有轨电车钢轨管沟、直埋管道2.0轨底 1.0
道路侧石边缘管沟、直埋管道1.5
桥墩(高架桥、栈桥)边缘管沟、直埋管道2.0
架空管道支架基础边缘管沟、直埋管道1.5
通信、照明或 10 kV 以下电力线路的电杆管沟、直埋管道1.0
高压输电线铁塔
基础边缘
电压≤330 kV管沟、直埋管道3.0
电压>330 kV管沟3.0
直埋管道5.0
通信管线管沟、直埋管道1.00.25
电力管线管沟1.0电力直埋 0.5
保护管或隔板 0.25
直埋管道2.0
燃气管道燃气压力<0.01 MPa供热管沟1.0燃气钢管 0.15
聚乙烯管在上 0.2
聚乙烯管在下 0.3
燃气压力≤0.4 MPa1.5
燃气压力≤0.8 MPa2.0
燃气压力>0.8 MPa4.0
燃气压力≤0.4 MPa直埋管道1.0燃气钢管 0.15
聚乙烯管在上 0.5
聚乙烯管在下 1.0
燃气压力≤0.8 MPa1.5
燃气压力>0.8 MPa2.0
给水管道管沟、直埋管道1.50.15
雨、污排水管道管沟、直埋管道1.50.15
再生水管道管沟1.50.15
直埋管道1.0
地铁隧道结构管沟、直埋管道5.00.8
电气铁路接触网电杆基础管沟、直埋管道3.0
乔木(中心)管沟1.5
直埋热水管道1.5
直埋蒸汽管道2.0
灌木(中心)管沟1.0
直埋管道1.5
机动车道路面管沟0.5
直埋管道1.0
"} {"image_path": "images/9c0c1ca25d861e869bd4d1af92472896.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目单位技术要求检验结果单项判定
1pH/6.5~8.58.49合格
2色(度)/$ \\leq15 $<5合格
3肉眼可见物/合格
4mg/L$ \\leq0.3 $ND(<0.3)合格
5mg/L$ \\leq0.1 $ND(<0.1)合格
6mg/L$ \\leq1.0 $ND(<0.1)合格
7mg/L$ \\leq0.01 $ND(<0.001)合格
8mg/L$ \\leq0.01 $ND(<0.0025)合格
9总硬度(以$ CaCO_{3} $计)mg/L$ \\leq450 $14合格
10氯化物mg/L$ \\leq250 $3.7合格
11mg/L$ \\leq0.005 $ND(<0.0005)合格
12耗氧量($ COD_{Mn} $法,以$ O_{2} $计)mg/L$ \\leq3 $0.48合格
13溶解性总固体mg/L$ \\leq1000 $83合格
14mg/L$ \\leq0.001 $ND(<0.0001)合格
以下空白
"} {"image_path": "images/73555ef350e9667714477d88c6a62370.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目结果单位参考区间
*白细胞数目(WBC)14.5710^9/L↑ 3.5-9.5
中性粒细胞数目(Neu#)9.2910^9/L↑ 1.8-6.3
淋巴细胞数目(LYM)3.9510^9/L↑ 1.1-3.2
单核细胞数目(Mon#)0.8910^9/L↑ 0.10-0.6
嗜酸性粒细胞数目(Eos#)0.3910^9/L0.02-0.52
嗜碱性粒细胞数目(Bas#)0.0510^9/L0-0.06
中性粒细胞百分比(Neu%)63.8%40-75
淋巴细胞百分比(LYM%)27.1%20-50
单核细胞百分比(Mon%)6.1%3-10
嗜酸性粒细胞百分比(Eos%)2.7%0.4-8
嗜碱性粒细胞百分比(Bas%)0.3%0.0-1.0
$ ^{\\ast} $红细胞数目(RBC)5.1310^12/L4.3-5.8
$ ^{\\ast} $血红蛋白(HGB)152g/L130-175
$ ^{\\ast} $红细胞压积(HCT)45.8%40-50
$ ^{\\ast} $红细胞平均体积(MCV)89.3fL82-100
红细胞平均血红蛋白含量(MCH)29.6pg27-34
平均血红蛋白浓度(MCHC)332g/L310-354
红细胞分布宽度变异系数(RDW-CV)11.4%11.0-16
红细胞分布宽度标准差(RDW-SD)36.8fL35.0-56.0
$ ^{\\ast} $血小板数目(PLT)31210^9/L125-350
血小板压积(PCT)0.31%↑ 0.108-0.282
血小板平均体积(MPV)9.9fL6.5-12
血小板分布宽度(PDW)129.8-17
大血小板比率(P-LCR)24.7%11-45
异常淋巴细胞数目(ALY#)0.019^10/L0-0.2
异常淋巴细胞百分比(ALY%)0.1%0-2
有核红细胞数目(NRBC#)010^9/L0-0
有核红细胞百分比(NRBC%)0%0-0
幼稚粒细胞绝对值(IG#)0.0710^9/L↑ 0-0.06
幼稚粒细胞百分比(IG%)0.5%0-0.6
"} {"image_path": "images/f6b7fa101904f0938834a8956c85acd5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分析项目检测结果备注
PH值(25℃)6.85在线检测
电阻率(25℃ M$ \\Omega $.cm)17.5M$ \\Omega $.cm在线检测
细菌总数,个/ml1/mL
微粒(直径>0.5$ \\mu $m,粒/mL)1/mL
二氧化硅 <0.01mg/L
可氧化物物质[以(0)计]0mg/L
有机物(以COD计)0.26 mg/L
氯化物 Cl <0.050 mg/L
氟化物 Fl <0.050 mg/L
钠 Na0.015mg/L
铁 Fe <0.1mg/L
铜 Cu <0.1mg/L
钙 Ca <0.1mg/L
镁 Mg <0.1mg/L
锌 Zn <0.1mg/L
锰 Mn <0.1mg/L
硬度0mg/L
质监科:汪辉 检验员:肖体妍 复核员:王委
"} {"image_path": "images/cf9e4513c4493e1e61b28ed354c0b2bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
正方体棱长/cm表面积/$ cm^{2} $体积/$ cm^{3} $
5
96
长方体长/dm宽/dm高/dm表面积/$ dm^{2} $体积/$ dm^{3} $
456
109720
"} {"image_path": "images/c16bd038f7a4c9d4cf446d4ad9765fb2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目技术要求
耐汗渍色牢度/级 ≥变色3
沾色3
耐水色牢度/级 ≥变色3
沾色3
耐摩擦色牢度/级 ≥干摩3
湿摩2-3
甲醛含量/(mg/kg)按 GB 18401 规定执行
pH 值
异味
可分解致癌芳香胺染料/(mg/kg)
金属针等锐利物不得检出
拉伸弹性回复率/% ≥延伸向88
可萃取的重金属/(mg/kg) ≤铅(Pb)1.0
镉(Cd)0.1
砷(As)1.0
N -亚硝基胺/(mg/kg)不得检出
"} {"image_path": "images/8d57ebd9c7b5648f689a62f3663444bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目婴幼儿用品直接接触皮肤用品非直接接触皮肤用品装饰用品
残余溶剂$ \\text{残余溶剂}^{g、m} /,% < $N,N -二甲基甲酰胺$ (DMF)^{n} $0.05°0.05°0.05°0.05°
N,N -二甲基乙酰胺$ (DMAc)^{n} $0.05°0.05°0.05°0.05°
N -甲基吡咯烷酮$ (NMP)^{n} $0.05°0.05°0.05°0.05°
甲酰胺0.020.020.020.02
残余表面活性剂、$ \\text{湿润剂}^{g}(mg/kg) < $壬基酚、辛基酚、庚基酚、戊基酚(总量)10.010.010.010.0
壬基酚、辛基酚、庚基酚、戊基酚、辛基酚聚氧乙烯醚、壬基酚聚氧乙烯醚(总量)100.0100.0100.0100.0
$ \\text{其他化学残余}^{g} $
邻苯基苯酚(OPP)/(mg/kg) <10252525
富马酸二甲酯(DMFu)/(mg/kg) <0.10.10.10.1
致癌芳香胺$ \\text{禁用}^{i} $
苯胺
双酚A/% <0.10.10.10.1
抗菌整理剂$ \\text{通过安全认证的可使用}^{p} $
阻燃整理剂普通$ \\text{通过安全认证的可使用}^{p} $
$ \\text{其他}^{g} $$ \\text{禁用}^{i} $
$ \\text{紫外光稳定剂}^{g}/% < $UV 3200.10.10.10.1
UV 3270.10.10.10.1
UV 3280.10.10.10.1
UV 3500.10.10.10.1
"} {"image_path": "images/abd8d69d2989dd1cec407960db3c70ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
单位美国欧洲东南亚全球
占比/亏损率占比/亏损率占比/亏损率占比/亏损率
GMV百万美元17818.8710508.5610508.5640880
订单数量百万445.47262.71262.711022.00
日均包裹量百万1.220.720.722.80
客单价美元40404040
券后毛利百万美元5702.043362.742627.1412264
券后毛利率%32%32%25%30%
单均毛利美元12.812.81012
成本百万美元3522.471854.051880.327633.65
履约物流成本百万美元311854.69%161648.05%164262.50%670654.68%
单均履约物流成本美元/单7.006.156.256.56
国内头程美元/单1.001.001.001.00
国际干线美元/单2.502.001.752.16
空运美元/单543.54.32
海运美元/单1.431.141.001.23
尾程配送美元/单3.503.153.503.40
仓储成本百万美元62.571.10%36.901.10%36.901.40%143.541.17%
单均仓储成本元/单1111
人力成本百万美元341.605.99%201.465.99%201.467.67%783.716.39%
分拣员工数量21794.1212852.9412852.9450000
分拣员工工资元/月9300930093009300
费用百万美元3313.131953.901953.907200.98
营销费用百万美元3269.1257.33%1927.9457.33%1927.9473.39%710057.89%
管理费用百万美元44.0225.9625.96100.98
运营人员数量871.76514.12514.122000
运营人员工资元/月30000300003000030000
营业利润(亏损)百万美元-1133.57-19.88%-445.21-13.24%-1207.08-45.95%-2570.63-20.96%
"} {"image_path": "images/8bff584e6e9a550f2c9ff7377b4283ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检测项目检验结果备注
PH 值6.85在线检测
电阻率(25℃ $ M\\Omega.cm $)17.5 $ M\\Omega.cm $在线检测
细菌总数,个/ml1/mL
微粒(直径>0.5$ \\mu m $,粒/mL)1/mL
二氧化硅<0.01mg/L
可氧化物质[以(0)计]0mg/L
有机物(以 COD 计)0.26 mg/L
氯化物 Cl<0.050 mg/L
氟化物 FI<0.050 mg/L
钠 Na0.015mg/L
铁 Fe<0.1mg/L
铜 Cu<0.1mg/L
钙 Ca<0.1mg/L
镁 Mg<0.1mg/L
锌 Zn<0.1mg/L
锰 Mn<0.1mg/L
硬度0mg/L
检验结果:
合格(292,717),(384,759)
质监科:汪辉(248,809),(328,867)检验员:肖体妍(514,804),(593,863)复核员:石志刚(747,815),(827,873)
"} {"image_path": "images/3311b4be8416d031d9ddf9db6ccf5cb1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
样品名称末梢水
委托单位平利县卫生监督所规格/包装无菌瓶装 500ml/瓶、2 瓶
委托单位地址平利县城关镇新正街 69 号检测类别委托
采样地点平利县人民政府采样日期2020 年 11 月 24 日
样品状态液体 正常 适合检验样品数量1 份
收样日期2020 年 11 月 24 日检验完成日期2020 年 12 月 4 日
检测项目浑浊度、硝酸盐(以 N 计)、耗氧量、二氧化氯、菌落总数、总大肠菌群
检测及评价依据《生活饮用水标准检验方法》 GB/T 5750-2006
《生活饮用水卫生标准》 GB 5749-2006
检测结果检测结果:
检测结果见本报告续页第2页。




公章:
签发日期:2020年12月10日
备注:采样地点、采样日期等样品信息系委托方提供,本中心未确认。
"} {"image_path": "images/a27eb932d5525a1068d969a11be46653.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NO 检验项目 检验结果 单位 参考值 NO 检验项目 检验结果 单位 参考值
1 ★丙氨酸氨基转移酶[ALT] 21 IU/L 5-40 19 ★葡萄糖[GLU] 5.61 mmol/L 3.9-6.1
2 ★总胆红素[TBIL] 9.49 umol/L 3.42-23.34 20 ★尿酸[UA] 273 umol/L 155-428
3 直接胆红素[DBIL] 2.96 umol/L 0-8.24 21 ★甘油三酯[TG] 0.69 mmol/L 0.45-2.25
4 间接胆红素[IBIL] 6.53 umol/L 3.42-15.1 22 ★总胆固醇[TCH] 3.82 mmol/L 3.24-5.7
5 ★总蛋白[TP] 70.73 g/L 60-80 23 ★高密度脂蛋白[HDL-C] 0.87↓ mmol/L 1.08 - 1.91
6 ★白蛋白(溴甲酚绿法) 38.41 g/L 35-55 24 ★低密度脂蛋白[LDLC] 2.42 mmol/L 2.08-3.12
7 球蛋白[G] 32.32 g/L 25-35 25 载脂蛋白-AⅠ[APOA] 0.96↓ g/L 1-1.6
8 白/球比例[A/G] 1.19↓ 1.5-2.5 26 载脂蛋白-B[APOB] 0.86 g/L 0.6-1.1
9 前白蛋白[PAB] 284 mg/L 170-420 27 ★钾[K] 4.64 mmol/L 3.5-5.3
10 ★碱性磷酸酶[ALP] 66 IU/L 40-150 28 ★钠[Na] 133.0↓ mmol/L 135-145
11 ★γ - 谷氨酰转肽酶[GGT] 16 IU/L 7-50 29 ★氯[CL] 96.0 mmol/L 96-108
12 ★天冬氨酸氨基转移酶[AST] 17 IU/L 8-40 30 ★钙[Ca] 2.38 mmol/L 2.03-2.67
13 总胆汁酸[TBA] 5.2 umol/L 0-12 31 ★磷[P] 1.19 mmol/L 0.84-1.65
14 ★肌酸激酶[CK] 70 IU/L 24-195
15 ★乳酸脱氢酶[LDH] 144 IU/L 109-245
16 α-羟丁酸脱氢酶[HBDH] 114 IU/L 72-182
17 ★肌酐(酶法) 51 umol/L 18-104
18 ★尿素[Urea] 3.74 mmol/L 1.7-8.3
"} {"image_path": "images/c1830d7b615c334ef1a6ebeb3500ebc3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称:芦荟胶/AG生产日期:2020.07.09
规格:40g生产批号:103427
检验日期:2020.07.09报告日期:2020.07.16
执行标准:QB/T 2874
检验项目检验方法标准要求检验结果
包装感官检查符合QB/T 1685《化妆品产品包装外观要求》符合要求
净含量JJF 1070《定量包装商品净含量计量检验规则》40g 装>40.0g40.1g
感官检验外观感官检查透明或半透明凝胶状,无异物透明凝胶状,无异物
香气感官检查符合规定香气符合规定香气
理化检查PH值(25℃)GB/T 13531.13.5-8.55.1
热耐QB/T 2874(40+1)保持24h,恢复至室温后与试验前外观无明显差异(40+1)保持24h,恢复至室温后与试验前外观无明显差异
耐寒QB/T2874-5-10℃保持24h,恢复至室温后与试验前外观无明显差异-5-10℃保持24h,恢复至室温后与试验前外观无明显差异
微生物检查菌落总数化妆品安全技术规范(2015)版<1000CFU/g<10CFU/g
霉菌和酵母菌总数化妆品安全技术规范(2015)版<1000CFU/g<10CFU/g
评定意见☑ 合格
☐ 不合格
备注
"} {"image_path": "images/f4f967a80a92e303cbf1f1933c9f5dda.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
物质熔点/℃沸点/℃化学性质
S112.8444.6硫与氧气在232.2℃反应生成二氧化硫
$ S_{2}Cl_{2} $-80137.1遇水生成HCl、$ SO_{2} $、S;室温下十分稳定,但在100℃以上会分解为硫和氯,在300℃时则完全分解
"} {"image_path": "images/b99c237c10a4b65cecf4915981f64f77.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产负债表(百万元)2022A2023A2024E2025E2026E
流动资产59,41169,56977,93688,171100,811
现金10,0339,81610,83510,69011,598
应收票据及应收账款1,2261,2721,1261,1261,126
其他应收款00000
预付账款00000
存货00000
其他流动资产48,15258,48065,97576,35588,087
非流动资产14,97117,56018,12919,70521,472
长期投资9776767676
固定资产81102108111114
无形资产66545577578579
其他非流动资产14,72716,83717,36818,94020,703
资产总计74,38287,12996,066107,876122,283
流动负债29,83031,45834,12338,25343,129
短期借款00000
应付票据及应付账款354810664714764
其他流动负债29,47630,64833,45937,53942,365
非流动负债27,79137,54743,41850,72359,357
长期借款19,48925,06230,07536,09043,308
其他非流动负债8,30212,48513,34314,63316,049
负债合计57,62169,00577,54088,976102,486
少数股东权益-0355363-0-0
股本2,8322,8322,8322,8322,832
资本公积8,1748,1748,1748,1748,174
留存收益7638229029991,118
归属母公司股东权益16,76117,76918,16218,90019,798
负债和股东权益74,38287,12996,066107,876122,283
"} {"image_path": "images/447a4fe9be2d2a513f6e2d0a688db2b5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号合金牌号工件类型工艺名称热处理制度硬度
加热温度/℃$ ^{a} $保温时间$ ^{b} $冷却方式$ ^{c} $
12GH2135棒材、锻件、环轧件固溶处理
(制度 A)
1 140(0.2~0.4)min/mm×T + 4 h空冷
一次时效
(制度 A)
830(0.2~0.4)min/mm×T + 8 h空冷
二次时效
(制度 A)
650(0.4~0.6)min/mm×T + 16 h空冷255~321 HBW
棒材、锻件、环轧件固溶处理
(制度 B)
1 080(0.2~0.4)min/mm×T + 4 h空冷
一次时效
(制度 B)
830(0.2~0.4)min/mm×T + 8 h空冷
二次时效
(制度 B)
650(0.4~0.6)min/mm×T + 16 h空冷277~352 HBW
13GH2150锻件、棒材、环轧件固溶处理 1 040~1 080 (0.2~0.4)min/mm×T + 1 h 空冷
时效 750 (0.4~0.6)min/mm×T + (16~24)h 空冷 277~375 HBW
板材固溶处理1 040~1 08010 min~15 min空冷
时效 750 (0.4~0.6)min/mm×T + 16 h 空冷
14GH2302锻件、棒材、环轧件一次固溶1 180(0.2~0.4)min/mm×T + 1 h空冷
二次固溶1 050(0.2~0.4)min/mm×T + 4 h空冷
时效800(0.2~0.4)min/mm×T + 16 h空冷269~241 HBW
板材固溶处理1 120厚度≤3 mm:10 min~15 min;
厚度(3~5)mm:15 min~20 min
空冷
时效800(0.2~0.4)min/mm×T + 16 h空冷
15GH2696丝材时效700~7503 h~5 h空冷≥40 HRC
板材时效700~7503 h~5 h空冷35~40 HRC
Ⅰ组冷拉棒时效750℃保温16 h,随后炉冷至650℃保温16 h空冷
Ⅱ组冷拉棒时效750℃保温16 h,随后炉冷至650℃保温16 h空冷
Ⅲ及Ⅳ组冷拉棒固溶
(制度 A)
1 100 (0.2~0.4)min/mm×T + 1 h 油、聚合物水溶液
时效
(制度 A)
780 (0.2~0.4)min/mm×T + 16 h 空冷 285~341 HBW
"} {"image_path": "images/8f049a60d3ad6fe5d1e4c306ca93e83b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验结果汇总
序号检验项目单位标准规定值检验值单项结论
1静曲强度MPa≥11.016.7合格
2内结合强度MPa≥0.350.45合格
3表面胶合强度MPa≥0.601.03合格
42h吸水厚度膨胀率%≤8.00.2合格
5含水率%3.0~13.07.9合格
6密度g/$ cm^{3} $0.60~0.900.71合格
7握螺钉力板面N≥9001233合格
板边≥600910
8表面耐冷热循环无裂纹、鼓泡、变色、起皱等无裂纹、无鼓泡、无变色、无起皱合格
9表面耐磨磨耗值mg/100r≤8051合格
表面情况磨100转后应保留50%以上花纹磨100转后留有70%花纹
10表面耐香烟灼烧达到4级以上4级合格
11表面耐污染腐蚀达到5级以上5级合格
12表面耐龟裂达到4级以上5级合格
13耐光色牢度达到灰度卡4级4级合格
14甲醛释放量
(1$ m^{3} $气候箱法)
mg/$ m^{3} $$ E_{1} $:≤0.1240.026合格
以下空白
附注
"} {"image_path": "images/11071bce0c72162bb28fb3b78151129d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目代号结果参考范围项目代号结果参考范围
1★白细胞技术WBC3.983.50~9.5010^9/L18红细胞体积分布宽度RDW-CV16.712.3~14.8%
2中性粒细胞百分比NE%69.440.0~75.0%19红细胞体积分布宽度RDW-SI61.838.3~51.5fL
3淋巴细胞百分比LY%22.620.0~50.0%20★血小板计数PLT129125~35010^9/L
4单核细胞百分比M0%5.03.0~10.0%21血小板压积PCT0.1600.077~0.300 %
5嗜酸性粒细胞比E0%2.50.4~8.0%22平均血小板体积MPV12.2011.70~16.00fL
6嗜碱性粒细胞比BA%0.50~1.0%23血小板体积分布宽度PDH16.7013.80~25.40fL
7淋巴细胞计数LY#0.901.10~3.2010^9/L24大血小板细胞比率PLCR42.9011.00~45.00%
8中性粒细胞计数NE%2.761.80~6.3010^9/L25有核红百分比NRBC%0.0%
9单核细胞计数M0#0.200.10~0.6010^9/L26有核红绝对值NRBC#0.0010^9/L
10嗜酸性粒细胞计数E0#0.100.02~0.5210^9/L
11嗜碱性粒细胞计数BA#0.020~0.0610^9/L
12★红细胞计数RBC3.274.30~5.8010^12/l
13★血红蛋白HGB104.0130.0~175.0g/L
14红细胞压积HCT33.1040.00~50.00%
15平均红细胞体积MCV101.2082.00~100.00fL
16平均血红蛋白含量MCH31.8027.00~34.00pg
17平均血红蛋白浓度MCHC314.00316.00~354.00g/L
"} {"image_path": "images/0bca0aa42cd7ac17a4099be69fd0b046.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目指标检测结果单项判定
含水率(%)$ \\qquad $≤8.01.65合格
总铅(mg/kg)$ \\qquad $≤0.8<0.8合格
总砷(mg/kg)$ \\qquad $≤1.0<1.0合格
"} {"image_path": "images/b40b3ddff8cb0c6fa6d9f37cc4e33813.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
收并购金额规模分布201820192020202120222023
5千万-5 亿美元以下11109152611
5亿-10亿美元547466
10亿-50 亿美元39812811
50亿-100亿美元321214
100亿美元以上243223
收购溢价水平分布
0% to 24%112455
25% to 49%223265
50% to 74%664343
75% to 99%213447
100% or more265375
按疾病种类分布
Cancer10769116
CNS162436
Immune235456
Rare675575
Other5610131712
"} {"image_path": "images/283062233f139e2c12f929f343c2754d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一﹑选择题(每小题3分,共30分)
1~5 ADDAC 6~10 BCCBB
二﹑填空题(每小题3分,共15分)
11. $ x\\ge-1\\text{且}x\\ne0 $ 12. 0 13. $ \\frac{2}{9} $ 14. $ 2\\sqrt{10}+\\frac{\\sqrt{10}}{2}\\pi $ 15. $ \\frac{4\\sqrt{3}}{3}\\text{或}\\frac{8\\sqrt{3}}{3} $
三﹑解答题请看“详解详析”P63~P65
"} {"image_path": "images/d37ec35dad0fbbd2d605721c4c58a6db.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产负债表(百万元)2022A2023A2024E2025E2026E
流动资产28932229276832243695
现金535362455595721
应收票据及应收账款4514846908481014
其他应收款86111116
预付账款848227041
存货5084847468551058
其他流动资产1384845845845845
非流动资产47315492595668147516
长期投资00000
固定资产24613798426049965595
无形资产135137150165174
其他非流动资产21351557154616531747
资产总计7625772287241003811210
流动负债12161422234434204201
短期借款18411652012761696
应付票据及应付账款883926131716011885
其他流动负债148380506543620
非流动负债21771905163814571224
长期借款20581771150513241091
其他非流动负债119134134134134
负债合计33933326398248775425
少数股东权益652637629614590
股本737736736736736
资本公积9951006100610061006
留存收益15771726205625193147
归属母公司股东权益35803759411445465195
负债和股东权益7625772287241003811210
"} {"image_path": "images/0cbe1ec9b6ec8530c629323773ff5c73.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目上年金额
归属于母公司股东权益少数股东权益股东权益合计
股本其他权益工具资本公积减:库存股其他综合收益专项储备盈余公积一般风险准备未分配利润小计
优先股永绩股其他
一、上年年末余额1,277,403,317.0017,420,060,412.06-3,139,873.401,412,582,111.4517,831,191,285.8937,938,097,253.00161,810,583.9338,099,907,836.93
加:会计政策变更
前期差错更正
同一控制下企业合并
其他
二、本年年初余额1,277,403,317.0017,420,060,412.06-3,139,873.401,412,582,111.4517,831,191,285.8937,938,097,253.00161,810,583.9338,099,907,836.93
三、本期增减变动金额(减少以“-”号填列)235,284,195.491,807,904,769.043,211,105.79673,824,696.311,010,037,531.50114,452,760.05129,659,814.50244,112,574.55
(一)综合收益总额3,211,105.795,516,072,178.815,519,283,284.60-5,605,855.805,514,217,428.80
(二)股东投入和减少资本222,947,051.651,807,904,769.04-1,584,957,717.38134,725,670.30-1,450,232,047.08
1.股东投入的普通股118,324,329.70118,324,329.70134,725,670.30253,050,000.00
2.其他权益工具持有者投入资本
3.股份支付计入股东权益的金额104,622,721.961,807,904,769.04-1,703,282,047.08-1,703,282,047.08
4.其他
(三)利润分配673,824,696.31-4,506,034,647.31-3,832,209,951.00-3,832,209,951.00
1.提取盈余公积673,824,696.31-673,824,696.31
2.提取一般风险准备
3.对股东的分配-3,832,209,951.00-3,832,209,951.00-3,832,209,951.00
4.其他
(四)股东权益内部结转
1.资本公积转增资本
2.盈余公积转增资本
3.盈余公积弥补亏损
4.设定受益计划变动额结转留存收益
5.其他综合收益结转留存收益
6.其他
(五)专项储备
1.本期提取
2.本期使用
(六)其他12,337,143.8312,337,143.8312,337,143.83
四、本年年末余额1,277,403,317.0017,655,344,607.551,807,904,769.0471,232.392,086,406,807.7618,841,228,817.3938,052,550,013.05291,470,398.4338,344,020,411.48
"} {"image_path": "images/b9f5d7bc3d371316d41eb8a22a9e077e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
至12月31日2014A2015A2016E2017E2018E
经营活动现金流7518885130200
净利润6872809294
折旧摊销1420667074
营运资本变动-17586159
其他1138-67-4723
投资活动现金流-166-2895-5-15
资本支出-297-251-70-75-85
投资活动054504545
其他131-92252525
筹资活动现金流30167-1186279
债务融资30137316279
股权融资031000
股利派发00000
其他00000
现金净增加额-6166-28187264
期初现金余额209148214186373
期末现金余额148214186373637
"} {"image_path": "images/ed4e2b9ab846a569ce7f3cf88b8c56ac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目推荐意见证据质量推荐强度
手术方式一期吻合术是单纯性肠闭锁患儿的首选手术方式极低
抗生素预防用药(1)皮肤切开前60 min内预防性使用抗生素
(2)除非需要持续治疗,否则在术后24 h内应停用抗生素
预防术中低体温持续监测术中患儿核心体温并保持正常体温,防止体温过低(<36.5℃)
围术期液体管理限制性输入液体以维持组织灌注,预防血容量不足、液体负荷过重、低钠血症和高血糖
围术期镇痛(1)除非有禁忌证,否则应在术后早期按频次(非“按需”)使用对乙酰氨基酚,以减少阿片类药物使用
(2)建议在术后使用阿片类药物限制策略,持续监测以最低有效剂量解决爆发痛
(3)围术期使用区域阻滞联合对乙酰氨基酚以及全身麻醉
(4)舌下含服蔗糖/葡萄糖以减轻置胃/空肠管等操作引起的轻微疼痛
最佳血红蛋白水平(1)无需呼吸支持的足月新生儿,血红蛋白应⩾90 g/L;生后1周的足月儿,若需要呼吸支持,血红蛋白应⩾110 g/L
(2)使用输血指南时,不仅要考虑目标血红蛋白阈值,还应考虑新生儿的临床状况
围术期沟通应用规范化的流程和方案实施围术期多学科团队沟通
父母参与在住院早期,使父母参与到患儿的护理程序中,为患儿出院后做准备
围术期营养管理(1)术后24-48 h内尽早开始肠内营养,无需等到肠功能完全恢复
(2)首选母乳喂养
(3)肠造瘘口患儿的尿钠水平应>30 mmol/L
再灌注喂养肠造口患儿使用黏膜瘘口再灌注喂养以促进生长
"} {"image_path": "images/f5ec74022edda57da5253c924a8a1946.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级指标二级指标单位基准值判定依据
品质属性重金属元素含量(限大气腐蚀环境C1、C2、C3条件和埋在水中、土壤中条件下色漆)(除木器涂料外)铅(Pb)mg/kg≤200依据B.6检测,提供有资质的第三方检测报告
镉(Cd)mg/kg≤100
六价铬($ Cr^{6+} $)mg/kg≤200
汞(Hg)mg/kg≤200
重金属元素含量(限大气腐蚀环境C4及C4以上条件下色漆)(除木器涂料外)铅(Pb)mg/kg≤1000
镉(Cd)mg/kg≤100
六价铬($ Cr^{6+} $)mg/kg≤1000
汞(Hg)mg/kg≤1000
N-甲基吡咯烷酮(NMP)、N,N-二甲基甲酰胺(DMF)、异佛尔酮均不得添加按GB/T 23986—2009检测,提供有资质的第三方检测报告(不得添加物质的污染限值均为0.1%)
有机锡化合物(限木器涂料)不得添加提供证明材料(不得添加物质的污染限值均为50mg/kg)
芳香族过氧化物类固化剂(限不饱和树脂涂料)不得添加提供证明材料(不得添加物质的污染限值为0.1%)
涉及在体内验证试验中确认具有内分泌干扰的生物杀伤剂(限防污涂料)不得添加提供全部生物杀伤剂使用清单(不得添加物质的污染限值均为50mg/kg)
涉及致癌性、生殖细胞致突变性、生殖毒性中类别1的生物杀伤剂(限防污涂料)不得添加
沥青不得添加提供证明材料(不得添加物质的污染限值为0.1%)
光稳定剂(UV-320、UV-327、UV-328、UV-350)不得添加提供证明材料(不得添加物质的污染限值均为50mg/kg)
安全标签符合GB 15258要求提供证明材料
产品安全技术说明书(SDS)符合GB/T 16483要求提供证明材料
包装包装材质不得含有聚氯乙烯或其他含有表2中有害物质的塑料提供证明材料
"} {"image_path": "images/060147293ceee2fd26e38d6921b358bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称日常防护口罩商标/型号规格常规(小号)
生产日期/批号2020-03-05样品数量60 只抽样基数/
受检单位/地址/联系电话劳保用品加工销售有限公司
生产单位/地址/联系电话劳保用品加工销售有限公司
任务来源保用品加工销售有限公司检验类别委托检验
样品到达日期2020-03-06送样人员边浩伊检验日期2020-03-06至2020-03-11
检验环境/执法人员/
样品等级/样品状态描述样品完好封样状态封存完好
样品/抽样单编号/
检验依据GB/T 32610-2016、GB 15979-2002
检验项目基本要求、外观要求、甲醛含量、pH值、可分解致癌芳香胺染料、绿脓杆菌、 金黄色葡萄球菌、溶血性链球菌
检验结论实物质量判定/
标签判定/
产品质量综合判定该样品按GB/T 32610-2016、GB 15979-2002 标准检验所检项目合格。
山东腾翔产品质量检测有限公司\\n检验专用章(663,662),(851,802)
(盖章)
签发日期:2020 年03 月11 日
备注1、本报告含封面及封二。2、本报告复印件不加盖红章无效。3、符合“/”表示该项无内容。
"} {"image_path": "images/512ad8352b7baea59fb4bb2cabf4cdc2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号
Serial
检验项目
Test Items
单位
Unit
技术要求
Specification
检验结果
Test Results
单项评价
Evaluation
(浸出成品大豆油一级)
1色泽(罗维朋比色槽133.4mm)——≤黄20红2.0黄9 红1.2符合
2气味、滋味——无气味、口感好无气味、口感好符合
3透明度——澄清、透明澄清、透明符合
4水分及挥发物,%——≤0.050.01符合
5不溶性杂质,%——≤0.050.01符合
6酸值(KOH)mg/g≤0.200.08符合
7过氧化值mmol/kg≤5.01.1符合
8烟点≥215216符合
9冷冻试验(0℃储藏5.5h)——澄清、透明澄清、透明符合
10浸出油溶剂残留量mg/kg不得检出未检出
(检出限10)
符合
11黄曲霉毒素$ B_{1} $μg/kg≤101符合
12总砷(以As计)mg/kg≤0.1未检出
(检出限0.003)
符合
13铅(以Pb计)mg/kg≤0.10.09符合
14苯并(a)芘μg/kg≤10未检出
(检出限0.5)
符合
15丁基羟基茴香醚(BHA)g/kg≤0.2未检出
(检出限0.001)
符合
16二丁基羟基甲苯(BHT)g/kg≤0.2未检出
(检出限0.0005)
符合
17特丁基对苯二酚(TBHQ)g/kg≤0.2未检出
(检出限0.001)
符合
18乐果mg/kg≤0.05未检出
(检出限0.01)
符合
19倍硫磷mg/kg≤0.01未检出
(检出限0.01)
符合
"} {"image_path": "images/c2415efc782f402345bfc036602097f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检测结果
单位:mg/L(除水温、pH值、粪大肠菌群外)
检测项目宁陕县渔洞河水源地
19070028SB0101
标准限值
甲苯0.00011ND0.7
乙苯0.00006ND0.3
二甲苯对(间)二甲苯0.00012ND0.5
邻二甲苯0.00011ND
异丙苯0.00015ND0.25
氯苯0.012ND0.3
1,2-二氯苯0.00029ND1.0
1,4-二氯苯0.00023ND0.3
三氯苯1,2,4-三氯苯0.00013ND0.02
1,2,3-三氯苯0.00003ND
硝基苯0.00017ND0.017
二硝基苯0.08ND0.5
硝基氯苯0.04ND0.05
邻苯二甲酸二丁酯0.0001ND0.003
邻苯二甲酸二(2-乙基己基)酯0.002ND0.008
滴滴涕0.0002ND0.001
林丹0.00001ND0.002
阿特拉津0.00008ND0.003
苯并(a)芘0.0000014ND0.0000028
0.005ND0.07
0.005ND1.0
0.0002ND0.002
0.020ND0.5
0.0002ND0.005
0.005ND0.02
0.010ND0.7
0.010ND0.05
0.00001ND0.0001
评价结论根据《地表水环境质量标准》(GB3838-2002) 表1中Ⅱ类、表2及表3标准评价:宁陕县渔洞河水源地地表水以上所测项目检测结果均符合国家规定标准限值。
备注1.石油类外委由安康市环境保护监测站(资质证书编号:152712050096)完成检测;三氯甲烷、四氯化碳、三氯乙烯、四氯乙烯、苯乙烯、苯、甲苯、二甲苯、三氯苯、乙苯、异丙苯、苯并(a)芘外委由陕西阔成检测服务有限公司(资质证书编号:152700140304)完成检测;
2.*一“ND”表示未检出,“ND”前数值表示该项目的检出限值;
3.《地表水环境质量标准》(GB 3838-2002)表1中II类标准中无水温、河流总氮标准,故不作评价;
4.本次检测结果仅对本次所测样品负责。
"} {"image_path": "images/47239a1bf997c8095da0da2769a390f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
All subjects
(1)
No Uni
(2)
Uni
(3)
P-value
(4)
Low Attr
(5)
Med Attr
(6)
High Attr
(7)
P-value
(8)
Panel A: Response regressions on subsamples of female subjects
University (0/1)0.002
(0.019)
-0.012
(0.021)
$ {0.109}^{ * } $
(0.061)
0.095-0.019
(0.050)
0.008
(0.027)
0.016
(0.032)
0.921
MedAttr (0/1)$ {0.076}^{* * * } $
(0.022)
$ {0.077}^{* * * } $
(0.024)
0.052
(0.062)
0.9860.038
(0.058)
$ {0.092}^{* * } $
(0.029)
$ {0.064}^{ * } $
(0.035)
0.621
HighAttr (0/1)$ {0.181}^{* * * } $
(0.023)
$ {0.184}^{* * * } $
(0.026)
$ {0.159}^{* * } $
(0.064)
0.558$ {0.187}^{* * * } $
(0.062)
$ {0.206}^{* * * } $
(0.033)
$ {0.144}^{* * * } $
(0.040)
0.707
Observations1117958159266546305
Mean Response0.1170.1170.1190.1770.1120.075
Panel B: Response regressions on subsamples of male subjects
University (0/1)$ - {0.050}^{* * } $
(0.022)
$ - {0.041}^{ * } $
(0.024)
-0.080
(0.059)
0.595-0.019
(0.048)
$ - {0.089}^{* * * } $
(0.031)
-0.009
(0.039)
0.287
MedAttr (0/1)$ {0.116}^{* * * } $
(0.026)
$ {0.116}^{* * * } $
(0.028)
0.112
(0.070)
0.841$ {0.171}^{* * * } $
(0.058)
$ {0.097}^{* * * } $
(0.037)
$ {0.104}^{ * } $
(0.042)
0.482
HighAttr (0/1)$ {0.196}^{* * * } $
(0.027)
$ {0.197}^{* * * } $
(0.029)
$ {0.146}^{ * } $
(0.075)
0.860$ {0.192}^{* * * } $
(0.061)
$ {0.190}^{* * * } $
(0.038)
$ {0.195}^{* * * } $
(0.047)
0.885
Observations15501325225380773397
Mean Response0.2750.2770.2620.3420.2870.186
"} {"image_path": "images/034e7b5726581f7a9c57faba2bb7a784.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FactorsMeasurement itemsFactor loadingsMSVASVAVECR
Perceived consumer effectivenessEach person's behavior can have a positive effect on society by their signing a petition in support of promoting the environment0.7640.3880.3570.5970.892
I feel I can help solve the natural resource problem by conserving water and energy0.785
I can protect the environment by buying products that are friendly to the environment0.693
There is much more that we can do about the environment0.894
I feel capable of helping solve the environment problems0.763
When I buy products, I try to consider how my use of them will affect the environment and other consumers0.776
Willingness to be environmental friendlyI willingly and wholeheartedly take responsibility to become environment-friendly0.8350.4280.4010.6470.924
I am willing to pay to higher prices for environment-friendly products0.793
I will boycott the products that damage the environment in one way or other0.788
I am willing to take steps to control my activities which are not good for the environment0.854
I am willing to stop buying products from companies that are guilty of polluting the environment0.843
I am willing to sacrifice for the sake of slowing down pollution0.746
Perceived behavioral controlWhether or not I will purchase eco-friendly products for personal use in the coming month is entirely up to me0.8380.3950.3270.5320.810
I have complete control over the number of eco-friendly products that I will buy for personal use in the coming month0.735
Whether or not I will purchase eco-friendly products for personal use in the coming month is completely within my control0.783
Green purchase behaviorI often buy products that are considered as environment-friendly0.7210.4130.3640.5840.753
I often buy environmentally safe products0.799
I often buy products that use environmentally friendly packaging0.725
"} {"image_path": "images/9033bf2d58394de2fec1410e84ce2417.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(1)(2)(3)
Dependent variable: Dummy of discouraged firm
tone-0.050**
(0.008)
-0.025**
(0.007)
-0.063**
(0.009)
age10.006
(0.015)
-0.002
(0.016)
age20.051**
(0.015)
0.053**
(0.016)
age30.031*
(0.012)
0.025
(0.013)
age40.018
(0.009)
0.013
(0.010)
size10.128**
(0.008)
0.128**
(0.009)
size20.078**
(0.008)
0.081**
(0.008)
size30.131**
(0.007)
0.034**
(0.008)
turnover10.014
(0.022)
0.028
(0.026)
turnover20.019
(0.023)
0.035
(0.027)
turnover30.045
(0.024)
0.062*
(0.029)
interest_expense10.011
(0.008)
0.006
(0.009)
interest_expense20.000
(0.008)
-0.004
(0.009)
interest_expense3-0.030**
(0.007)
-0.036**
(0.008)
interest_expense40.023*
(0.012)
0.009
(0.011)
sector10.003
(0.003)
0.002
(0.004)
sector20.011**(
0.004)
0.013**
(0.005)
sector30.0001
(0.003)
-0.002
(0.003)
profit10.015
(0.011)
0.009
(0.011)
profit20.014
(0.010)
0.007
(0.011)
profit30.040**
(0.010)
0.035**
(0.011)
ownership1-0.013
(0.013)
-0.005
(0.015)
ownership2-0.027*
(0.013)
-0.026
(0.014)
ownership3-0.031**
(0.010)
-0.026*
(0.012)
ownership40.005
(0.018)
0.008
(0.020)
ownership5-0.020
(0.012)
-0.019
(0.013)
ownership6-0.031**
(0.011)
-0.030**
(0.012)
rgdp0.037
(0.079)
hcpi_infl-1.587**
(0.116)
yield-0.001
(0.001)
N67,94464,68657,992
McFadden's Pseudo $ R^{2} $0.0010.0450.053
Log-likelihood-23333.11-21444.39-19041.47
"} {"image_path": "images/89b3fe4f3c781bbe4e04411e555beb25.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项目名称结果参考范围单位序号项目名称结果参考范围单位
1白细胞21.48 $ \\uparrow $4--1110^9/L20血小板217100--35010^9/L
2中性粒细胞百分比83.9 $ \\uparrow $40--70%21平均血小板体积8.36.5--12fL
3淋巴细胞百分比11.5 $ \\downarrow $20--50%22血小板分布宽度14.810--18%
4单核细胞百分比3.23--10%23血小板压积0.1790.108--0.282
5嗜酸性粒细胞百分比1.30.4--8%24大型血小板比率20.611--45
6嗜碱性粒细胞百分比0.10.0--1.0%25超敏C反应蛋白2.03$ \\le 5 $mg/L
7中性粒细胞计数18.02 $ \\uparrow $1.6--7.710^9/L
8淋巴细胞计数2.470.8--5.510^9/L
9单核细胞计数0.690.12--1.110^9/L
10嗜酸性粒细胞计数0.280.02--0.5210^9/L
11嗜碱性粒细胞计数0.020-0.0610^9/L
12红细胞4.203.5--510^12/L
13血红蛋白122110--160g/L
14平均血红蛋白浓度321320--360g/L
15平均血红蛋白量29.127--34pg
16红细胞平均体积90.680--100fL
17红细胞分布宽度CV12.611--16%
18红细胞分布宽度SD42.6035--56fL
19红细胞压积38.1037--55
"} {"image_path": "images/d02c23fd0a1feedb9536204709419aae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级指标二级指标单位基准值判定依据
环境属性污染物排放应符合国家或地方规定的污染物排放标准和执法要求提供证明材料
品质属性质量性能应满足产品明示的标准中最高等级的技术要求提供有资质的第三方检测报告
异氰脲酸三缩水甘油酯(TGIC)不得添加提供证明材料(不得添加物质的污染限值为0.1%)
重金属元素含量木质板、家具用铅(Pb) mg/kg≤20依据B.6检测,提供有资质的第三方检测报告
镉(Cd) mg/kg≤20
六价铬$ (Cr^{6+}) $ mg/kg≤20
汞(Hg) mg/kg≤20
砷(As) mg/kg≤20
钡(Ba) mg/kg≤1 000
硒(Se) mg/kg≤20
锑(Sb) mg/kg≤20
钴(Co) mg/kg≤20
其他铅(Pb) mg/kg≤200
镉(Cd)mg/kg≤100
六价铬$ (Cr^{6+}) $mg/kg≤200
汞(Hg) mg/kg≤200
光稳定剂(UV-320、UV-327、UV-328、UV-350)不得添加提供证明材料(不得添加物质的污染限值均为50 mg/kg)
有机锡化合物(限木质板、家具用)不得添加提供证明材料(不得添加物质的污染限值均为50 mg/kg)
安全标签符合GB 15258要求提供证明材料
产品安全技术说明书(SDS)符合GB/T 16483要求提供证明材料
包装包装材质不得含有聚氯乙烯或其他含有表2中有害物质的塑料提供证明材料
符合GB/T 13491和GB/T 16716.1要求
"} {"image_path": "images/7b5af1f680ffc80226096c784bda7fdb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
货号名称规格 单位数量单价金额备注
合计大写: 佰 拾 万 仟 佰 拾 元 角 分 ¥___
"} {"image_path": "images/db1718ac582c0d01885ce0b3bcaa693e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
特征描述积水面积占比(WER)级别湿生植物重要值$ (H_{iv}) $级别
湿生植物为优势种,积水较多,鼠洞密度为每平方米0个~2个。WER>50%正常$ H_{iv}>0.6 $正常
湿生植物为亚优势种,积水较少,有少量干化斑块出现,干化斑块上具有明显的鼠洞,鼠洞密度为每平方米2个~10个。25%< WER ≤50%减少$ 0.4< H_{iv}≤0.6 $略有减少
湿生植物为伴生种,积水很少,出现大量干化斑块,有裸地出现,鼠洞密度为每平方米10个~24个。0< WER ≤25%明显减少$ 0.2< H_{iv}≤0.4 $明显减少
有零星的湿生植物,无积水,湿地系统被完全破坏,鼠洞密度为每平方米2个~10个。WER=0消失$ H_{iv}≤0.2 $显著减少
"} {"image_path": "images/d997c613851a359cfe37fcb32834d63a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
证券代码证券简称货币最新收盘价(元)EPSPE(TTM)PS(倍)
2020E2021E2022E2020E2021E2022E2020E2021E2022E
游戏公司
海外上市游戏公司
腾讯控股0700人民币571.5012.9615.9619.3037.8030.7025.409.978.066.74
心动公司2400人民币37.901.071.421.8229.9422.4817.643.933.063.52
IGG0799人民币7.950.170.140.156.237.277.031.41.351.32
祖龙娱乐9990人民币19.320.801.461.8221.0311.529.228.264.253.05
平均值23.7517.9914.825.894.183.66
A股游戏公司
三七互娱002555人民币39.691.371.631.9320.9617.5614.853.723.062.58
完美世界002624人民币33.301.251.501.7623.0519.1416.325.224.363.80
吉比特603444人民币622.9015.3919.2322.5325.7320.5917.5710.178.036.86
世纪华通002602人民币9.520.510.610.7016.2413.5911.883.553.172.89
游族网络002174人民币17.481.101.301.5315.6313.2611.243.172.792.44
掌趣科技300315人民币6.820.240.370.4627.4917.8414.438.916.505.40
平均值21.5217.0014.385.794.653.99
欧美游戏公司
动视暴雪ATVI美元82.683.373.524.0323.7322.7119.847.176.926.26
"} {"image_path": "images/8d11faba15af9dfec02fc003f80bba07.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2013201420152016E2017E2018E
每股指标
每股收益0.2510.1500.0970.1250.1980.246
每股净资产4.0114.1434.3914.5344.7495.016
每股经营现金净流-0.5840.1680.319-0.3610.3420.430
每股股利0.0000.1000.0000.0000.0000.000
回报率
净资产收益率6.27%3.61%2.22%3.01%4.53%5.34%
总资产收益率2.23%1.21%0.79%1.19%1.80%2.17%
投入资本收益率2.61%2.53%1.78%2.04%2.93%3.46%
增长率
主营业务收入增长率-14.68%2.08%-11.25%-4.41%14.26%10.64%
EBIT增长率-55.50%7.64%-43.22%14.23%44.90%19.80%
净利润增长率-28.74%-40.46%-34.93%40.08%57.70%24.44%
总资产增长率-6.07%9.49%-0.43%-6.31%4.05%3.08%
资产管理能力
应收账款周转天数58.363.972.070.070.070.0
存货周转天数67.772.873.373.078.080.0
应付账款周转天数106.198.495.295.095.095.0
固定资产周转天数67.183.595.591.273.160.3
偿债能力
净负债/股东权益59.92%82.69%60.64%70.85%64.23%55.61%
EBIT利息保障倍数1.21.60.91.62.12.6
资产负债率63.98%66.04%63.96%60.41%60.25%59.27%
"} {"image_path": "images/5e6501b59628819af5a532ccd1b479ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
板块公司简称历次弹性财报预披露时间
22年6-8月23年1-2月23年5-6月23年9月23年11-12月24年2-3月3月18日至今
总成三花智控56%21%28%5%10%16%-5%2024-04-30
拓普集团44%21%57%11%18%29%4%2024-04-23
鸣志电器227%31%85%28%11%78%-16%2024-04-30
丝杠贝斯特8%14%52%15%40%43%-12%2024-04-20
恒立液压-3%4%3%1%-6%1%-9%2024-04-23
北特科技29%13%16%10%60%68%-2%2024-04-03
鼎智科技340%0%112%9%56%25%-14%2024-04-23
新坐标13%14%33%-3%11%12%-2%2024-04-27
五洲新春27%15%34%40%31%48%-3%2024-04-29
设备浙海德曼28%7%9%11%74%34%-6%2024-04-26
日发精机22%12%4%18%16%48%8%2024-04-27
田中精机10%8%14%35%1%30%-1%2024-03-29
华辰装备13%16%10%58%3%28%-11%2024-04-13
减速器绿的谐波100%31%30%15%40%27%-16%2024-04-30
双环传动29%22%47%-3%1%15%-7%2024-04-12
精锻科技45%11%49%30%8%19%-1%2024-04-20
中大力德136%20%88%28%10%36%-4%2024-04-16
传感器柯力传感25%7%101%32%22%38%-7%2024-04-30
安培龙-----51%-15%2024-04-22
华培动力4%19%16%6%21%50%-9%2024-04-25
东华测试22%24%11%10%49%30%-10%2024-04-16
凌云股份4%1%8%6%-5%22%0%2024-04-30
"} {"image_path": "images/97079dead21aa55b3b2b4761f1e870c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基因型检出数构成比/%基因型频率/%基因型检出数构成比/%基因型频率/%
$ --^{SEA}/\\alpha\\alpha $1 64672.3026.07$ \\alpha^{WS}\\alpha/\\alpha\\alpha $231.010.36
$ -\\alpha^{3.7}/\\alpha\\alpha $23710.403.75$ --^{SEA}/\\alpha^{QS}\\alpha $110.480.17
$ --^{SEA}/-\\alpha^{3.7} $1145.011.81$ --^{SEA}/\\alpha^{WS}\\alpha $60.260.10
$ -\\alpha^{4.2}/\\alpha\\alpha $773.381.22$ -\\alpha^{3.7}/-\\alpha^{3.7} $60.260.10
$ \\alpha^{QS}\\alpha/\\alpha\\alpha $441.930.70$ -\\alpha^{4.2}/-\\alpha^{4.2} $40.180.06
$ --^{SEA}/\\alpha^{CS}\\alpha $401.760.63$ -\\alpha^{3.7}-\\alpha^{4.2} $30.130.05
$ --^{SEA} /-\\alpha^{4.2} $371.630.59$ -\\alpha^{3.7}/\\alpha^{QS}\\alpha $10.040.02
$ \\alpha^{CS}\\alpha/\\alpha\\alpha $241.050.38$ -\\alpha^{3.7}/\\alpha^{CS}\\alpha $10.040.02
"} {"image_path": "images/1ed3a9739157310779242c88d294be09.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间ALT (U/L)AST (U/L)ALP (U/L)GGT (U/L)
2020年3月12日(入院)84797768
2020年3月24日(出院)31396540
2020年5月14日(停药3周)1881496545
2020年6月18日(恢复治疗)20555728
2020年7月15日(减量5-ASA)5554
"} {"image_path": "images/454b93c9be7f112367f7c31028573cfa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间事件
宏观2023/3/8
2023/6/15
2023/7/26
2023/12/14
美联储主席鲍威尔称加息步伐可能加快,风险资产价格跌幅明显
美联储暂停加息,暗示年内将再加息
美联储宣布加息25个基点,油价小幅回落
12月份暂停加息,预计2024年有三次降息
供应情景2023/2/11
2023/4/2
2023/6/6
2023/7/4
2023/9/21
2023/11/23
俄罗斯宣布减产50万桶/天
OPEC+合计减产超160万桶/天
OPEC+减产延至2024年,沙特额外减产100万桶/天
沙特/俄罗斯延续减产100/30万桶/天至年底
俄罗斯禁止汽柴油出口
欧佩克会议延期,油价波动率大幅增加
需求情景2023/5/12
2023/6/16
2023/6/28
2023/10/8
美国债务上限不确定性,加剧市场对经济衰退的担忧,油价继续下跌
中国经济继续恢复,在对原油需求恢复的乐观预期影响下,WTI上涨3.44%
担心欧美央行继续加息抑制需求,WTI原油价格收跌2.41%
对于原油需求疲弱的预期升温,油价开启暴跌模式
"} {"image_path": "images/d7bcefc8f3f6d591134592bb92dc578e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(人民币百万元)2016年2017年同比2017年中金预测vs.CICCe2018全年预测同比
利润表
营业收入59,28670,42618.8%68,0623.5%88,17125.2%
营业成本-42,938-48,99614.1%-47,3443.5%-59,83222.1%
毛利润16,34921,43031.1%20,7173.4%28,33932.2%
其他收入/费用83921-97.5%570-96.3%210.0%
销售管理费用-4,095-4,4528.7%-4,999-10.9%-6,13037.7%
息税前利润13,09216,89929.8%16,2894.4%22,23030.8%
财务费用-1,1761,328-212.9%-573-331.8%-709-153.4%
联营、合营公司投资收益-448-315-29.7%3,518-109.0%-209-33.7%
公允价值损益及一次性损益1,728679-60.7%1,997-66.0%6790.0%
税前利润13,19618,69241.7%21,230-12.0%21,99217.7%
所得税-5,685-8,12142.8%-9,177-11.5%-10,19325.5%
税后利润7,51010,57140.8%12,053-12.3%11,79911.6%
少数股东损益及优先股分红-2,244-2,49111.0%-3,149-20.9%-2,242-10.0%
永续债分派-95-239151.9%-2390.0%-231-3.5%
归属母公司净利润5,1727,84051.6%8,656-9.4%9,32618.9%
报告核心净利润6,2516,93010.9%7,159-3.2%8,81627.2%
稀释每股净利润(人民币)1.502.3254.2%2.55-9.1%2.7518.6%
稀释每股核心净利润(人民币)1.822.0512.8%2.11-2.8%2.6026.8%
每股股利(港仙)0.761.0031.6%0.8912.7%1.3837.6%
财务比率
毛利率27.6%30.4%2.9ppt30.4%0ppt32.1%1.7ppt
毛利率(扣除土地增值税)24.2%24.7%0.5ppt21.1%3.6ppt25.6%0.9ppt
归属母公司净利润率8.7%11.1%2.4ppt12.7%-1.6ppt10.6%-0.6ppt
报告核心净利润率10.5%9.8%-0.7ppt10.5%-0.7ppt10.0%0.2ppt
报告净负债率53.4%58.9%5.5pptn.a.n.a.n.a.n.a.
计算净债务资本比率(永续债算作负债)58.8%63.4%4.6ppt65.8%-2.4ppt67.2%3.8ppt
有效利率(不包括永续债)7.9%7.3%-0.6pptn.a.n.a.n.a.n.a.
永续债有效利率4.2%5.5%1.3pptn.a.n.a.n.a.n.a.
有效利率(包括永续债)7.8%7.3%-0.5pptn.a.n.a.n.a.n.a.
有效税率43.1%43.4%0.4ppt43.2%0.2ppt46.3%2.9ppt
销售管理费用率6.9%6.3%-0.6ppt7.3%-1ppt7.0%0.6ppt
利息资本化率87.4%87.2%-0.2pptn.a.n.a.n.a.n.a.
运营数据
合同销售额(人民币十亿元)68.1100.847.9%n.a.n.a.n.a.n.a.
合同销售面积(百万平方米)4.96.123.3%n.a.n.a.n.a.n.a.
合同销售均价(元/平方米)13,85016,62320.0%n.a.n.a.n.a.n.a.
结算金额(人民币十亿元)56.266.818.9%n.a.n.a.n.a.n.a.
结算均价(元每平方米)11,55113,58517.6%n.a.n.a.n.a.n.a.
总土地储备(百万平方米)42.747.912.1%n.a.n.a.n.a.n.a.
权益土地储备(百万平方米)30.835.013.6%n.a.n.a.n.a.n.a.
土地储备平均成本(元/平方米)3,5475,10844.0%n.a.n.a.n.a.n.a.
新增土地储备(百万平方米)4.010.6167.4%n.a.n.a.n.a.n.a.
新增土储权益成本(人民币十亿元)30.367.9124.4%n.a.n.a.n.a.n.a.
新增土储平均成本(元/平方米)10,99410,861-1.2%n.a.n.a.n.a.n.a.
"} {"image_path": "images/ea729da092351f949d63911066192edf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号 污染物或项目名称 一级标准 二级标准 三级标准
1 pH值(无量纲) 6~9
2 化学需氧量($ COD_{Cr} $) 60 80 100
3 悬浮物(SS) 20 30 40
4 氨 氮(以N计) $ 8(15)^{a} $ 15 25
5 总 氮(以N计) 20 - -
6 总 磷(以P计) 1.5 3 4
7 动植物油$ ^{b} $ 3 5 10
$ ^{a} $ 括号外的数值为水温>12℃的控制指标,括号内的数值为水温≤12℃的控制指标。
$ ^{b} $ 动植物油指标仅对含提供餐饮服务的农村旅游项目生活污水的处理设施执行。
"} {"image_path": "images/60dc40cf57a215b7d4b9a370c5b66ba6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称输出范围分辨力最大允许误差备注
热电偶模拟信号T-250°C ≤ t < -200°C0.1°C±1.1°C
-200°C ≤ t < 0°C0.1°C±0.4°C
0°C ≤ t ≤ 400°C0.1°C±0.3°C
K-250°C ≤ t < -200°C0.1°C±1.3°C
-200°C ≤ t ≤ 1 100°C0.1°C±0.4°C
1100°C < t ≤ 1 372°C0.1°C±0.5°C
E-250°C ≤ t < -200°C0.1°C±0.8°C
-200°C ≤ t ≤ 1 000°C0.1°C±0.3°C
J-210°C ≤ t < -100°C0.1°C±0.4°C
-100°C ≤ t ≤ 800°C0.1°C±0.3°C
800°C < t ≤ 1 200°C0.1°C±0.4°C
N-200°C ≤ t < -100°C0.1°C±0.6°C
-100°C ≤ t ≤ 900°C0.1°C±0.4°C
900°C < t ≤ 1 300°C0.1°C±0.5°C
S-20°C ≤ t < 0°C0.1°C±1.2°C
0°C ≤ t < 200°C0.1°C±1.1°C
200°C ≤ t ≤ 1 400°C0.1°C±0.9°C
R-20°C ≤ t < 0°C0.1°C±1.2°C
0°C ≤ t < 100°C0.1°C±1.1°C
100°C ≤ t ≤ 1 767°C0.1°C±0.9°C
B600°C ≤ t < 800°C0.1°C±1.2°C
800°C ≤ t ≤ 1 820°C0.1°C±1.1°C
热电阻模拟信号Pt100(385)
Pt1000(385)
-200°C ≤ t ≤ 400°C0.1°C±0.2°C
400°C < t ≤ 850°C0.1°C±0.4°C
Cu50 -50°C ≤ t ≤ 150°C0.1°C±0.2°C
Cu100 -50°C ≤ t ≤ 150°C0.1°C±0.2°C
"} {"image_path": "images/72289442702e499da18343dcfb0dd17f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\chi^2_{\\alpha}(n)$n=8 n=9$ \\chi^2_{\\alpha}(n) $n=8 n=9$ t_{\\alpha}(n) $n=8 n=9
$ \\alpha=0.95 $
$ \\alpha=0.975 $
2.733 3.325
2.180 2.700
$\\alpha=0.05 $
$ \\alpha=0.025 $
15.507 16.919
17.535 19.023
$ \\alpha=0.05 $
$ \\alpha=0.025 $
1.8595 1.8331
2.3060 2.2622
"} {"image_path": "images/c9554fad9e9f88375f8bd3bc824dbaf9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料类别锻件铸件板材
C-Si-$ LCB^{a} $-
C-Mn-Si16MnD-16MnDR
C-1/2Mo-$ WCI^{b·c} $-
-$ LCI^{a} $-
温度/℃公称压力 Class
1503006009001 5002 500
最大允许工作压力/MPa
-29~381.844.809.6014.4124.0140.01
501.824.759.4914.2423.7339.56
1001.744.539.0713.6022.6737.78
1501.584.398.7913.1821.9736.61
2001.384.258.5112.7621.2735.44
2501.214.088.1612.2320.3933.98
3001.023.877.7411.6119.3432.24
3250.933.767.5211.2718.7931.31
3500.843.647.2810.9218.2030.33
3750.743.506.9910.4917.4929.14
4000.653.266.529.7916.3127.19
4250.552.735.468.1913.6522.75
4500.462.164.326.4810.7917.99
4750.371.573.134.707.8313.06
5000.281.112.213.325.549.23
5380.140.591.181.772.954.92
a 不得用于340℃以上。
b 当长期暴露在465℃以上温度时,钢中的碳化相可能转变为石墨。允许但不推荐长期在465℃以上使用。
c 仅使用正火加回火材料。
"} {"image_path": "images/0a1adfc9021a5b54c7c2e9cc7402ccca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": ">
技术参数指标
输入直流电压0~100mV、0~1V、0~(5)~10V、0~300V
直流电流0 (4) ~20mA
3线式热电阻(Rtd)Pt100、Cu100、Cu50、Pt50、Ni100
热电偶J、K、E、B、R、S、T、N、W3-25、W5-26
电阻0~440$ \\Omega $、0~10K
电位器0~2K、0~10K
测量精度0.1% F.S
温度系数100ppm/℃(50ppm/℃特殊)
响应时间≤400ms
输出变送0~20mA,4~20mA,0~5V,0~10V 等
通讯RS485/ModBus-RTU协议,1200/2400/4800/9600/19200bps
报警2组转换 8A/AC250V(8A/DC 30V)高、低、中值、断线、通讯控制均可设
2组常开 AC 3A/250V(3A/DC 30V)
显示LED显示、范围-29999~29999,比率任意设置,DI/DO指示等
开关量输入/输出4DI/4DO
绝缘电阻≥100M$ \\Omega $
工频耐压电源//信号输入//开关量输入//继电器输出//变送 2kV/1min变送//通讯 1kV/1min
平均无故障工作时间≥50000h
"} {"image_path": "images/74c15f714602ea8bd2ba570c8e443e57.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称:纳豆红曲胶囊
产品批号:518230501生产日期:20180515
规 格:0.4g/粒检验标准:Q/WNB 0132S
检验日期:2018年05月16日报告日期:2018年05月21日
检验项目标准规定检验结果检验依据结果判定
感官内容物呈棕红色;具本品特有的滋味、气味,无异味;硬胶囊,完整,无破裂;内容物为粉末;无肉眼可见外来杂质内容物呈棕红色;具本品特有的滋味、气味,无异味;硬胶囊,完整,无破裂;内容物为粉末;无肉眼可见外来杂质Q/WNB 0132S合格
总皂苷(以人参皂苷Re计)/(g/100g)≥0.20.54保健食品检验与评价技术规范合格
洛伐他汀/(g/100g)0.16 - 0.300.24保健食品检验与评价技术规范合格
水分/(%)≤9.05.8GB 5009.3合格
灰分/(%)≤8.04.3GB 5009.4合格
蛋白质/(%)≥2023.6GB 5009.5合格
崩解时限/(min)≤6011中华人民共和国药典合格
装量差异g/粒0.38 - 0.42符合标准要求中华人民共和国药典合格
铬(mg/kg)≤2.00.4中华人民共和国药典合格
铅(以Pb计)/(mg/kg)≤1.50.108GB 5009.12合格
砷(以As计)/(mg/kg)≤1.00.005GB 5009.11合格
汞(以Hg计)/(mg/kg)≤0.3<0.001GB 5009.17合格
霉菌,CFU/g≤25<10GB 4789.15合格
酵母菌,CFU/g≤25<10GB 4789.15合格
大肠菌群,MPN/g≤0.94<0.30GB 4789.3合格
致病菌(指沙门氏菌、志贺氏菌、金黄色葡萄球菌、溶血性链球菌)不得检出未检出GB 4789.4 、 GB 4789.5、GB 4789.10、GB 4789.11合格
检验结论:本品按企标标准检验,结果符合规定。
"} {"image_path": "images/94f03cb4fcb8ca2227cb29b2ea28de2f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产负债表(百万元)20182019E2020E2021E利润表(百万元)20182019E2020E2021E
流动资产6556.47615.69282.512359.4营业收入3890.04684.45449.87070.1
现金1483.42560.93504.94867.0营业成本2369.72776.63116.44039.6
应收款项2470.02310.12687.63486.6营业税金及附加30.332.838.149.5
存货2413.22510.32817.63652.3营业费用123.2140.5163.5212.1
其他189.7234.2272.5353.5管理费用246.8778.3855.61016.4
非流动资产1869.21816.61862.61848.5财务费用15.1-28.6-71.8-105.8
长期股权投资0.00.00.00.0投资净收益6.30.00.00.0
固定资产538.3491.0542.5533.7其他-141.8-94.645.437.4
无形资产162.1156.7151.3145.9营业利润969.4890.21393.51895.6
其他1168.91168.91168.91168.9营业外净收支-130.6-50.00.00.0
资产总计8425.69432.211145.114207.9利润总额838.8840.21393.51895.6
流动负债4508.64841.85444.96997.7所得税费用96.392.0160.2218.0
短期借款486.330.050.050.0少数股东损益0.00.00.00.0
应付账款2340.92966.83329.84316.3归属母公司净利润742.4748.21233.21677.6
其他1681.41845.02065.02631.4EBIT1135.2961.51281.61757.8
非流动负债474.7474.7474.7474.7EBITDA1175.11017.71347.61829.6
长期借款256.6256.6256.6256.6
其他218.1218.1218.1218.1
负债总计4983.35316.55919.67472.4重要财务与估值指标20182019E2020E2021E
少数股东权益0.00.00.00.0每股收益(元)0.840.851.401.90
归属母公司股东权益3442.34115.75225.66735.5每股净资产(元)3.904.675.937.64
负债和股东权益总计8425.69432.211145.114207.9发行在外股份(百万股)882881881881
ROIC(%)28.4%23.7%35.1%44.4%
ROE(%)21.6%18.2%23.6%24.9%
现金流量表(百万元)20182019E2020E2021E毛利率(%)39.1%40.7%42.8%42.9%
经营活动现金流-48.01681.01119.31555.5EBIT Margin(%)29.2%20.5%23.5%24.9%
投资活动现金流9.9-72.4-72.0-25.6销售净利率(%)19.1%16.0%22.6%23.7%
筹资活动现金流747.7-531.1-103.3-167.8资产负债率(%)59.1%56.4%53.1%52.6%
现金净增加额710.31077.5943.91362.1收入增长率(%)78.7%20.4%16.3%29.7%
折旧和摊销39.956.165.971.8净利润增长率(%)38.1%0.8%64.8%36.0%
资本开支-207.8-72.4-72.0-25.6P/E66.766.240.129.5
营运资本变动-450.9776.7-139.9-161.9P/B14.412.09.57.3
"} {"image_path": "images/a2623342cef7fd8a9f17dc2a3ec033a1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品型号额定功率 / 电机功率容量范围净重产品尺寸(长 × 宽 × 高)
DJ13R - G11000W/180W900mL ~ 1300mL2.2kg219mm×178mm×297mm
DJ13R - D8161000W/180W900mL ~ 1300mL2.2kg219mm×178mm×297mm
DJ12B - D61SG1000W/180W1000mL ~ 1200mL2.0kg226mm×168mm×317mm
DJ12R - D62SG1000W/180W1000mL ~ 1200mL2.0kg226mm×168mm×317mm
DJ13B - D58SG1000W/180W900mL ~ 1300mL2.4kg230mm×170mm×323mm
DJ12E - D611000W/180W1000mL ~ 1200mL2.0kg226mm×168mm×317mm
"} {"image_path": "images/d2c9def1d1ad948c02818c499982f934.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Unpopular daters
(1)
Popular daters
(2)
Daters looking for serious relationship
(3)
First impression
(4)
Within week response
(5)
Spring sample
(6)
Panel A: Response regressions on samples of female subjects
University (0/1)0.009
(0.030)
-0.005
(0.024)
-0.011
(0.024)
0.008
(0.029)
0.009
(0.018)
0.035
(0.028)
MedAttr (0/1)$ {0.094}^{* * } $
(0.038)
$ {0.052}^{* * * } $
(0.026)
$ {0.085}^{* * * } $
(0.027)
$ {0.066}^{ * } $
(0.038)
$ {0.055}^{* * * } $
(0.020)
$ {0.060}^{ * } $
(0.028)
HighAttr (0/1)$ {0.168}^{* * * } $
(0.037)
$ {0.184}^{* * * } $
(0.031)
$ {0.205}^{* * * } $
(0.029)
$ {0.126}^{* * * } $
(0.035)
$ {0.160}^{* * * } $
(0.023)
$ {0.190}^{* * * } $
(0.035)
Observations54956883011171117519
Mean Response0.1480.0880.1240.4620.0990.114
Panel B: Response regressions on samples of male subjects
University (0/1)-0.050
(0.033)
$ - {0.051}^{ * } $
(0.029)
$ - {0.070}^{ * * } $
(0.028)
$ - {0.091}^{* * * } $
(0.023)
$ - {0.044}^{ * * } $
(0.021)
$ - {0.063}^{ * } $
(0.029)
MedAttr (0/1)$ {0.177}^{* * * } $
(0.040)
$ {0.067}^{ * * } $
(0.032)
$ {0.107}^{* * * } $
(0.033)
$ {0.073}^{ * * } $
(0.029)
$ {0.093}^{* * * } $
(0.025)
$ {0.112}^{* * * } $
(0.033)
HighAttr (0/1)$ {0.190}^{* * * } $
(0.039)
$ {0.206}^{* * * } $
(0.037)
$ {0.196}^{* * * } $
(0.034)
$ {0.117}^{* * * } $
(0.029)
$ {0.196}^{* * * } $
(0.027)
$ {0.229}^{* * * } $
(0.037)
Observations775775101615501550908
Mean Response0.3240.2260.2930.5390.2500.282
"} {"image_path": "images/55233c5f14bbfd7bbacc2f8b811b4598.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型号直流电压额定电流额定功率效率(Typ)电压精度负载调整率
HQ05P10LRN5V2A10W78%±1%±1%
HQ06P10LRN6V1.6A79%±1%
HQ09P12LRN9V1.3A12W82%±1%
HQ12P12LRN12V1A85%±0.8%
HQ15P12LRN15V0.8A85%±0.8%
HQ20P12LRN20V0.6A86%±0.8%
HQ24P12LRN24V0.5A86%±0.4%
备注1. 如未特别说明,所有规格参数均在输入电压为220VAC,环境温度25℃下测试。
2. 推荐使用功率在模块额定功率的20%~70% (@25℃工作环境下)。
"} {"image_path": "images/c637378cd95519b01e4060faa63fece9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品型号额定功率/电机功率额定转速容量范围净重产品尺寸(长×宽×高)
DJ13E-Q111000W/210W15300rpm1100mL~1300mL2.6kg220mm×179mm×322mm
"} {"image_path": "images/f70b2f799de10ed260df4eee580dd13f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项目名称单位数量单价金额(元)施工工艺及材料说明
49墙地砖铺贴$ m^{2} $156558580水泥、大沙、人工费(铺贴规格:800﹡800大地砖、300﹡600墙砖、300﹡300小地砖)
50地脚线铺贴75151125水泥、大沙、人工费
51暖气进墙73402380暖气专用管及管件、辅料人工费
52阀门1435490配套阀门
总计63205
未计项目
1水路改造138金牛水管及管件、人工费(按实际米数计算)
2电路改造128郑州三厂铜芯电线、网线、阻燃线盒、线管、人工费(按实际米数计算)
备注:
1、以上报价不含:灯具、洁具、电器、油烟机、燃气灶、热水器、地漏、五金、插座、开关、地板砖、瓷片、壁纸、木地板、打孔、物业公司相关费用及报价以外项目。
2、如有增减项目,双方另行协商,以现金方式结算。
3、如贴仿古砖、菱形砖、异型砖、拼花砖、抛釉砖、美缝、全瓷片另加费用。
4、垃圾负责清运至小区指定范围内,如需外运,费用由甲方负责。
5、本报价不含税金。
甲方(客户)签字: 乙方(施工方)签字:
联系方式: 联系方式:15837185822
年 月 日 年 月 日
"} {"image_path": "images/47dc7b58be8cbd1aa0aec8b049a6159b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品名称:鄢陵县中心水厂出厂水委托单位:鄢陵县康源供水有限公司
品编号:W20200617032电话/地址:13137422181
品性状:无色透明收样日期:2020.06.17
品来源:送检检测日期:2020.06.17~2020.06.28
样地点:鄢陵县中心水厂执行标准:《生活饮用水卫生标准》GB5749—2006
检测项目计量单位检测结果标准限值检测方法
菌落总数CFU/mL未检出100GB/T5750.12-2006-1.1
总大肠菌群CFU/100mL未检出不得检出GB/T5750.12-2006-2.2
耐热大肠菌群CFU/100mL未检出不得检出GB/T5750.12-2006-3.2
大肠埃希氏菌CFU/100mL未检出不得检出GB/T5750.12-2006-4.2
mg/L0.0010.01GB/T5750.6-2006-6.1
mg/L0.00010.005GB/T5750.6-2006-9.1
铬(六价)mg/L<0.0050.05GB/T5750.6-2006-10.1
mg/L0.0030.01GB/T5750.6-2006-11.1
mg/L<0.00010.001GB/T5750.6-2006-8.1
mg/L<0.0010.01GB/T5750.6-2006-7.1
氰化物mg/L<0.0020.05GB/T5750.5-2006-4.2
氟化物mg/L0.201.0GB/T5750.5-2006-3.2
硝酸盐氮(以N计)mg/L0.8610GB/T5750.5-2006-5.3
氯酸盐mg/L0.210.7GB/T5750.10-2006-13.2
亚氯酸盐mg/L0.120.7GB/T5750.10-2006-13.2
色度铂钴色度单位2.315GB/T5750.4-2006-1.1
浊度NTU0.281.0GB/T5750.4-2006-2.1
臭和味无异臭,无异味GB/T5750.4-2006-3.1
肉眼可见物GB/T5750.4-2006-4.1
pH8.026.5—8.5GB/T5750.4-2006-5.1
mg/L0.1260.2GB/T5750.6-2006-1.3
mg/L<0.050.3GB/T5750.6-2006-2.1
mg/L<0.050.1GB/T5750.6-2006-3.1
mg/L<0.051.0GB/T5750.6-2006-4.2
mg/L<0.051.0GB/T5750.6-2006-5.1
氯化物mg/L9.3250GB/T5750.5-2006-2.2
硫酸盐mg/L22.7250GB/T5750.5-2006-1.2
溶解性总固体mg/L2361000GB/T5750.4-2006-8.1
总硬度(以CaCO3计)mg/L131.9450GB/T5750.4-2006-7.1
耗氧量mg/L1.613.0GB/T5750.7-2006-1.1
挥发酚类mg/L<0.0020.002GB/T5750.4-2006-9.2
阴离子合成洗涤剂mg/L<0.10.3GB/T5750.4-2006-10.1
氨氮mg/L0.030.5GB/T5750.5-2006-9.1
总$ \\alpha $放射性Bq/L0.0180.5GB/T5750.13-2006-1.1
总$ \\beta $放射性Bq/L0.0391.0GB/T5750.13-2006-2.1
二氧化氯mg/L0.19≥0.1GB/T5750.11-2006-4.4
"} {"image_path": "images/95c8be06e00f6d424ca7a616a28a9164.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HypothesesStandardized loading($ \\beta $)S.EC.RResults
H1Uniqueness → Emotional Value0.3630.0675.557$ ^{\\ast\\ast\\ast} $Supported
Investment → Economical Value0.8230.06113.225$ ^{\\ast\\ast\\ast} $Supported
Self-Expression → Social Value0.1090.0611.68Not Supported
Uniqueness → Economical Value0.2310.0603.909$ ^{\\ast\\ast\\ast} $Supported
Uniqueness → Social Value0.320.0665.024$ ^{\\ast\\ast\\ast} $Supported
Investment → Emotional Value0.6710.05810.471$ ^{\\ast\\ast\\ast} $Supported
Investment → Social Value0.6110.06210.056$ ^{\\ast\\ast\\ast} $Supported
Self-Expression → Economical Value0.1240.0701.99$ ^{\\ast\\ast\\ast} $Supported
Self-Expression → Emotional Value0.2670.0373.88$ ^{\\ast} $Supported
H2Emotional Value → Brand Trust0.1130.0413.693$ ^{\\ast\\ast\\ast} $Supported
Economical Value → Brand Trust0.2690.0586.891$ ^{\\ast\\ast\\ast} $Supported
Social Value → Brand Trust0.2470.0526.868$ ^{\\ast\\ast\\ast} $Supported
H3Emotional Value → Purchase Intention0.2850.0526.664$ ^{\\ast\\ast\\ast} $Supported
Economical Value → Purchase Intention0.5780.05510.817$ ^{\\ast\\ast\\ast} $Supported
Social Value → Purchase Intention0.1410.0733.145$ ^{\\ast\\ast} $Supported
H4Brand Trust → Purchase Intention0.0690.0302.366$ ^{\\ast\\ast} $Supported
Model Fit$ \\chi^{2}= 864.989 $, df =434, $ \\chi^{2}/df= 1.993 $, GFI=0.900, IFI=0.970, TLI=0.961, CFI=0.970, RMSEA=0.047
"} {"image_path": "images/b694d236c31ecb02819f7298c152fbad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No检验项目英文对照结果参考区间单位
1K2.60 $ \\downarrow $3.50-5.30mmol/L
2Na124.0 $ \\downarrow $137.0-147.0mmol/L
3Cl91.0 $ \\downarrow $99.0-110.0mmol/L
4Ca1.81 $ \\downarrow $2.11-2.52mmol/L
5尿素氮BUN34.7 $ \\uparrow $3.1-8.0mmol/L
6肌酐CREA465 $ \\uparrow $44-133umol/L
7尿酸UA825\t$ \\uparrow $208-506umol/L
8总胆红素TBIL40.0\t$ \\uparrow $0.0-23.0umol/L
9结合胆红素BC16.0\t$ \\uparrow $0.0-4.0umol/L
10总蛋白TP74.065.0-85.0g/L
11白蛋白ALB36.0\t$ \\downarrow $40.0-55.0g/L
12谷丙转氨酶ALT164 $ \\uparrow $9-50U/L
13谷草转氨酶AST234\t$ \\uparrow $15-40U/L
14碱性磷酸酶ALP217 $ \\uparrow $45-125U/L
15谷氨酰转肽酶Y-GT96 $ \\uparrow $10-60U/L
16胆碱酯酶CHE55795400-13200U/L
17球蛋白GLB38.020.0-40.0g/L
18未结合胆红素BU24.0 $ \\uparrow $0.0-19.0umol/L
19降钙素原PCT107.39 $ \\uparrow $0.00-0.05ng/mL
20肾小球滤过率eGFR11.17mL/min/1.73m
备注:
"} {"image_path": "images/2889ef6c3a24f1a6f91c01b955f3c46c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
结果参考区间单位N项目名称
111.105-12×10^9/L1818红细胞分布宽度变异
2中性粒细胞比值50.350-70%19血小板计数
3淋巴细胞比值33.220-40%20平均血小板体积
4单核细胞比值7.33-10%21血小板分布宽度
5嗜酸粒细胞比值9.0↑0.5-5%22血小板压积
6嗜碱粒细胞比值0.20-1%23大血小板比率
7中性粒细胞绝对数5.582.50-8.40×10^9/L24有核红细胞百分比
8淋巴细胞绝对数3.691.00-4.80×10^9/L25有核红细胞计数
9单核细胞绝对数0.810.12-1×10^9/L26全血超敏C反应蛋白
10嗜酸细胞绝对数1.00↑0.02-0.5×10^9/L
11嗜碱细胞绝对数0.020-0.1×10^9/L
12红细胞计数4.92↑4.0-4.5×10^12/L
13血红蛋白浓度123.0120-140g/L
14红细胞压积0.3930.335-0.450
15平均红细胞体积79.9↓82-100fl
16平均红细胞血红蛋白含量25.0↓27-34pg
17平均红细胞血红蛋白浓度313↓316-354g/L
"} {"image_path": "images/0a108aa7804876dab04071b643242745.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
内置摄像机800万像素镜头
120°视角
可插拔摄像机模组(选配)800万像素镜头
支持60帧
80°以上视角
可选6倍或12倍光学变倍
水平$ \\pm 100^{\\circ} $转动,垂直0~-90°转动
双摄可选配可插拔摄像机模组与内置摄像机组成双摄系统
AI功能人脸检测 & 声源定位 & 语音追踪
会议安全保护全自动物理镜头盖,在非视频会议时可自动关闭
"} {"image_path": "images/e6c853baab5b3a3fa748c2144baa469d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型号360°全景摄像头
(UC M40)
4K超清摄像头
(UC W20)
4K 180°全景摄像头
(SC25)
光学变焦摄像头
(SC701)
摄像头参数
像素500万1300万1200万851万
最大输出分辨率4992$ ^{\\ast} $928@30fpsH.264(30fps)/MJ(25fps):3840$ ^{\\ast} $2160
YUY2(30fps):640$ ^{\\ast} $480
YUY2(30fps):640$ ^{\\ast} $480
MJPG(30fps):3840$ ^{\\ast} $2160(24fps)
H264(30fps):1280$ ^{\\ast} $720
4K@60fps, 4K@50fps
4K@30fps, 4K@25fps
4K@59.94fps,4K@29.97fps
图像传感器1/2.7″ CMOS1/3.06″ SONY sensor-1/2.5″ CMOS
焦距2.49mm-1.5m-
视场角四摄融合
最大视场角:360°
DFOV:79.8°
HFOV:67.8°
VFOV:53.1°
最大视场角 FOV:180°水平视场角:71°~8.2°
垂直视场角:42.7°~4.5°
麦克风
数量4阵列2阵列2阵列2阵列
拾音范围5m4m4m9m
拾音角度360°---
扬声器
数量1---
功能特性
功能亮度:0-100
3D降噪:0-100
对比度:0~100
曝光调整:-2~+2
频闪抑制:自动,50Hz / 60Hz
数字降噪:2D;3D 降噪
白平衡:Auto
曝光:Auto
背光补偿:支持
180°全景视野
自适应视野
双阵列高保真音频
多种安装方式
12倍光学变焦
4K超高清
3D降噪
远程控制
"} {"image_path": "images/4e2b2c4bf6a766540103ccfb95bee7c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品型号•输出功率标称输出电压及电流(Vo/Io)效率(230VAC, %/Typ.)最大容性负载 ($ \\mu F $)
LHE10-23B036.6W3.3VDC/2000mA7026000
LHE10-23B0510W5VDC/2000mA769400
LHE10-23B099VDC/1100mA783600
LHE10-23B1212VDC/900mA802400
LHE10-23B1515VDC/700mA811200
LHE10-23B2424VDC/450mA82370
注:*产品型号后缀加“A2”为接线式封装拓展,后缀加“A4”为导轨式封装拓展.
"} {"image_path": "images/fdad6037189a045de21e1cc57ba76dc1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基本功能量程基本精度
型号ZTY0102A
直流电压V600.0mV±(0.5%+4)
6.000V/60.00V/600.0V±(0.5%+2)
1000V±(0.7%+10)
交流电压V6.000V/60.00V/600.0V±(0.8%+3)
750V±(1.0%+10)
交流电流A6.000mA/60.00mA±(1.0%+12)
600.0mA±(2.0%+3)
20.00A±(3.0%+5)
直流电流A$ 60.00\\mu A/6.000mA/60.00mA $±(0.8%+8)
600.0mA±(1.2%+5)
20.00A±(2.0%+5)
电阻$ \\Omega $$ 600.0\\Omega $±(0.8%+5)
$ 6.000k\\Omega/60.00k\\Omega/600.0k\\Omega/6.000M\\Omega $±(0.8%+3)
$ 60.00M\\Omega $±(1.0%+25)
温度°C
温度°F
-400°C~1000°C
-40°F~1832°F
±(1.0%+3)
±(1.5%+5)
电容F6.000nF±(5.0%+35)
60.00nF~$ 600.0\\mu F $±(2.5%+20)
99.99mF±(5.0%+10)
9.999Hz~9.999MHz±(0.1%+5)
频率Hz测量范围:10Hz~10MHz(自动量程),≤100kHz:100mVrms≤输入幅度≤30Vrms,>100kHz~1MHz:200mVrms≤输入幅度≤30Vrms,>1MHz:600mVrms≤输入幅度≤30Vrms
"} {"image_path": "images/2c0522f60bfbec4ccf66759736622435.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品名:迷你充电宝(移动电源)型号:MINI3
锂电池容量:10000mAh锂电池额定能量:3.7V-37Wh
额定容量:5.2AhTYPE-C输入:5V=2A
IN输入:5V=2AUSB1输出:5V=2.1A(安卓)
USB2输出:5V=2.1A(苹果)总输出:5V=2.1A(MAX)
成品重量:216.6g转换效率$ \\ge 70\\% $
产品尺寸:$ 135.5\\times 68.8\\times 16.5mm $执行标准:GB/T 35590-2017
★请在温度0℃~45℃范围内使用本设备,并在温度-20℃~50℃范围内存放设备及其配件。当环境温度过高或过低时,可能会引起设备故障。
"} {"image_path": "images/8bfe401ba6048ca24fb577906bfe5d1f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号一级指标二级指标单位基准值判定依据/方法
7环境属性重金属含量镉含量mg/kg<0.5依据GB/T 28206检测并提供检测报告
8铅含量mg/kg<15
9汞含量mg/kg不得检出
10铬含量mg/kg<15
11砷含量mg/kg<5
12铜含量mg/kg<50
13镍含量mg/kg<15
14硒含量mg/kg不得检出
15锌含量mg/kg添加钙锌稳定剂类<900
其他<150
16钼含量mg/kg<1
17可分解芳香胺染料含量mg/kg≤5依据GB/T 17592检测并提供检测报告
18二甲基甲酰胺含量mg/kg不得检出依据QB/T 5158检测并提供检测报告
19挥发性气体苯类mg/kg不得检出按附录A计算
20有机挥发物总含量(TVOC)mg/kg≤50
21$ \\text{相对生物分解率}^{a} $%≥90依据GB/T 19277.1检测并提供检测报告
22氯乙烯单体残留量mg/kg气味接触类≤5依据GB/T 33284检测并提供检测报告
23皮肤接触类≤3
24入口接触类≤1
25品质属性$ \\text{阻燃性}^{b} $V-0级依据GB/T 2408检测并提供检测报告
26$ \\text{总迁移量}^{c} $$ mg/dm^{2} $≤5依据GB 4806.7检测并提供检测报告
27灰分%≤12依据GB/T 9345.5检测并提供检测报告
注:鼓励采用可再生资源、能源以及清洁能源。
$ ^{a} $ 相对生物分解率仅对可降解塑料有要求。
$ ^{b} $ 总迁移量仅对食品接触类塑料制品有要求。
$ ^{c} $ 阻燃性仅对有防火要求的塑料制品有要求。
"} {"image_path": "images/1aca1992a709b19601601cb12c4a7640.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
停靠站起点站第一站第二站第三站第四站第五站终点站
上、下车人数+30-6-3-20-17-21
+40+8+6+1
"} {"image_path": "images/1ad640de73c589f0ef3b42e23bdde4d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目$ y = \\log_{a}x(a>1) $$ y = \\log_{a}x $(0 < a < 1)
图象(343,723),(462,792)(555,724),(662,786)
定义域(0,$ +\\infty $)
值域$ \\mathbf{R} $
性质图象过定点(1,0),即x = 1时,y = 0
增函数减函数
"} {"image_path": "images/18f130984d569269ec6e07ec044324d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
会计年度2020A2021A2022E2023E2024E
成长能力
营业收入(%)27.766.068.993.670.3
营业利润(%)157.3151.611.1127.599.5
归属于母公司净利润(%)137.6158.420.3127.391.3
获利能力
毛利率(%)23.621.621.923.826.3
净利率(%)8.012.58.910.511.7
ROE(%)11.47.87.715.323.2
ROIC(%)9.66.05.48.711.4
偿债能力
资产负债率(%)45.331.644.362.167.2
净负债比率(%)24.2-15.19.343.462.7
流动比率1.83.32.01.41.2
速动比率1.02.51.51.00.9
营运能力
总资产周转率0.90.60.60.80.8
应收账款周转率2.42.72.72.72.7
应付账款周转率2.82.82.82.82.8
每股指标(元)
每股收益(最新摊薄)0.190.500.601.372.61
每股经营现金流(最新摊薄)0.03-0.54-0.78-0.880.11
每股净资产(最新摊薄)1.676.366.968.3210.93
估值比率
P/E493.3190.9158.769.836.5
P/B56.915.013.711.58.7
EV/EBITDA305.2163.2128.353.927.5
"} {"image_path": "images/9d97ff3ab7b7cbde142ca9774a4c1c87.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目描述
概述
固定接口1个复位开关
1个 10/100Base-TX以太网上行端口
1个 10/100Base-TX以太网下行端口
无线速率1200 Mbps
工作频段802.11b/g/n: 2.4GHz-2.483GHz (中国)
802.11ac/n/a: 5.15-5.35GHz, 5.725GHz-5.850GHz (中国)
"} {"image_path": "images/22cd7beb974b4de21298cb0fc8962cd5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工程名称黄小桥路(武陟山路-天堂寨路)道路工程工程地点安徽省六安市裕安区现状天堂寨路与规划武陟山路之间新建段
建筑面积10547.06平方米工程造价1007.036539万元
结构类型沥青砼路面层数地上: 层
地下: 层
规划许可证号建字第341501202100888号施工许可证号341500202110190302
开工日期2021.07.20完工日期2022.1.6
建设单位六安市重点工程建设管理处法定代表人倪玉华
单位地址六安市金安区佛子岭东路与和谐西路交口项目负责人胡道林
勘察单位安徽六安市勘察院有限责任公司资质等级乙级项目负责人张勇
设计单位六安市规划设计研究院有限公司资质等级乙级项目负责人程琛
施工总包单位中建华通建设工程有限公司资质等级及证书号市政公用工程施工总承包贰级 D251634698
法定代表人许军项目经理及证书号刘木英 川251171725787
分包单位/资质等级及证书号/
分包单位/资质等级及证书号/
监理单位六安市建工建设监理有限公司资质等级及证书号市政公用工程监理甲级 E134002822
法定代表人郑文法总监及岗位证书号郭从兰 34005416
施工图审查机构六安市建筑工程施工图设计文件审查中心资质等级及证书号一类
监督机构六安市建设工程质量安全监督处监督注册号
"} {"image_path": "images/4b1c3e58ce1bc5bc10de22637ede4a39.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ConditionPrimary Alternative$ ^{b} $Comments
Cutaneous aspergillosis...$ ^{f} $Similar to invasive pulmonary aspergillosisSurgical resection is indi-cated where feasible
$ \\mathit{Aspergillus} $ peritonitis ...$ ^{f} $Similar to invasive pulmonary aspergillosis...
Empirical and preemptive antifungal therapyFor empirical antifungal therapy,L-AMB(3mg/kg/day IV),caspofungin(70mg day 1 IV and 50mg/day IV thereafter),itra-conazole(200mg every day IV or 200mg BID),voriconazole(6mg/kg IV ev-ery 12h for 1 day,followed by 3mg/kg IV every 12h;oral dosage is 200mg every 12h...Preemptive therapy is a logical extension of em-pirical antifungal therapy in defining a high-risk population with evi-dence of invasive fungal infection(e.g.,pulmo-nary infiltrate or positive galactomannan assay result)
Prophylaxis against invasive aspergillosisPosaconazole(200mg every 8h)Itraconazole(200mg every 12h IV for 2 days,then 200mg every 24h IV)or itraconazole(200mg PO every 12h);micafungin(50 mg/day)Efficacy of posaconazole prophylaxis demon-strated in high-risk pa-tients(patients with GVHD and neutropenic patients with AML and MDS)
Aspergilloma$ ^{g} $No therapy or surgical resectionItraconazole or voriconazole;similar to in-vasive pulmonary aspergillosisThe role of medical ther-apy in treatment of as-pergilloma is uncertain;penetration into preex-isting cavities may be minimal for AMB but is excellent for itraconazole
Chronic cavitary pulmonary aspergillosis$ ^{g} $Itraconazole or voriconazoleSimilar to invasive pulmonary aspergillosisInnate immune defects demonstrated in most of these patients;long-term therapy may be needed;surgical resec-tion may lead to signifi-cant complications;an-ecdotal responses to $ IFN_{-\\gamma} $
Allergic bronchopulmonary aspergillosisItraconazoleOral voriconazole(200mg PO every 12h)or posaconazole(400mg PO BID)Corticosteroids are a cor-nerstone of therapy;itraconazole has a de-monstrable corticoste-roid-sparing effect
Allergic aspergillus sinusitisNone or itraconazoleFew data on other agents...
"} {"image_path": "images/a33deb6878b0fa01dd45efa363396ea4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
水流洗涤量水位洗涤物洗涤时间
2~5kg(1) ~(3)针织衣物约3~6min
棉、麻、混纺约8~10min
极脏、厚衣物约10~13min
床单约7~13min
2kg以下(1)化纤丝绸约2~4min
薄衣物约3~6min
"} {"image_path": "images/f2aabd32175993fc3a2766c16c2c25b9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
022030干粉250g/瓶
"} {"image_path": "images/637695d8cccef26245dfbef98f1fd052.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编号项目名称(简写)检验结果单位参考区间
1*白细胞(WBC)6.710^9/L3.5~9.5
2*淋巴细胞比例(LYMPHR)0.2180.2~0.5
3*嗜酸性粒细胞比例(EOR)0.0110.004~0.08
4*嗜碱性粒细胞比例(BASOR)0.0020.00~0.01
5*单核细胞比例(MONOR)0.0680.03~0.10
6*嗜中性粒细胞比例(NEUTR)0.7010.40~0.75
7*血红蛋白(HGB)81↓g/L115~150
8*红细胞(RBC)3.67↓10^12/L3.8~5.1
9*血小板(PLT)26010^9/L125~350
10*淋巴细胞绝对值(LYMPH)1.46110^9/L1.1~3.2
11*嗜酸性粒细胞绝对值(EO)0.07410^9/L0.02~0.32
12*嗜碱性粒细胞绝对值(BASC0.01310^9/L0.00~0.06
13*单核细胞绝对值(MONO)0.45610^9/L0.10~0.60
14*嗜中性粒细胞绝对值(NEU4.69710^9/L1.8~6.3
15*红细胞压积(HCT)0.282↓L/L0.350~0.450
16*红细胞平均血红蛋白量(M22.1↓pg27.0~34.0
17*红细胞平均体积(MCV)76.80↓fL82.0~100
18*红细胞平均血红蛋白浓度(287↓g/L316~354
19*红细胞分布宽度标准差(R44.80fL37~50
20*红细胞分布宽度变异数(R16.20↑%<15
"} {"image_path": "images/77678791043f50e9e05dc50b955d5477.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目单位数量单价金额备注
合计
人民币(大写) 拾 万 仟 佰 拾 元 角 分
¥:___
"} {"image_path": "images/6da3a073d6068bc47861594baf0041d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目名称项目简称结果单位 参考区间方法学
酸奶Yogurt1060.2 ↑U/ml 阴性<50.0
轻度敏感50.0-100.0
中度敏感100.1-200.0
高度敏感>200.0
蛋白芯片法
羊奶Goats' milk385.7 ↑U/ml 阴性<50.0
轻度敏感50.0-100.0
中度敏感100.1-200.0
高度敏感>200.0
蛋白芯片法
西红柿Tomato19.2U/ml 阴性<50.0
轻度敏感50.0-100.0
中度敏感100.1-200.0
高度敏感>200.0
蛋白芯片法
马铃薯Potato26.2U/ml 阴性<50.0
轻度敏感50.0-100.0
中度敏感100.1-200.0
高度敏感>200.0
蛋白芯片法
青豆Green peas18.7U/ml 阴性<50.0
轻度敏感50.0-100.0
中度敏感100.1-200.0
高度敏感>200.0
蛋白芯片法
豌豆Green pea52.6U/ml 阴性<50.0
轻度敏感50.0-100.0
中度敏感100.1-200.0
高度敏感>200.0
蛋白芯片法
菠菜Spinach5.5U/ml 阴性<50.0
轻度敏感50.0-100.0
中度敏感100.1-200.0
高度敏感>200.0
蛋白芯片法
草鱼Grass carp15.2U/ml 阴性<50.0
轻度敏感50.0-100.0
中度敏感100.1-200.0
高度敏感>200.0
蛋白芯片法
带鱼Hairtail41.3U/ml 阴性<50.0
轻度敏感50.0-100.0
中度敏感100.1-200.0
高度敏感>200.0
蛋白芯片法
扇贝Scallop55.6U/ml 阴性<50.0
轻度敏感50.0-100.0
中度敏感100.1-200.0
高度敏感>200.0
蛋白芯片
"} {"image_path": "images/9a0a5d0ba87fc747ac303fdfc9718d65.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
子行业代码公司市值
(亿元)
股价18EPS19EPS
(E)
20EPS
(E)
21EPS (E)18PE19PE20PE21PEPB
工程机械600031$ ^{\\ast} $三一重工122014.480.751.341.601.771911982.88
601100$ ^{\\ast} $恒立液压38543.620.951.361.691.95463226227.41
603338$ ^{\\ast} $浙江鼎力22564.881.941.692.282.99333828227.61
000157$ ^{\\ast} $中联重科4685.950.260.550.690.782310.88.67.61.24
000425$ ^{\\ast} $徐工机械3594.580.260.500.620.69189.27.46.61.29
600761$ ^{\\ast} $安徽合力668.940.790.840.951.051111991.38
000528柳工946.350.540.690.770.84129880.92
603638艾迪精密10928.170.860.861.151.50333325198.84
603298杭叉集团7812.640.881.001.141.31141311101.89
锂电设备300450$ ^{\\ast} $先导智能33337.81.061.121.501.92363425208.66
688006$ ^{\\ast} $杭可科技14536.10.800.901.201.56454030236.53
300457赢合科技10227.010.921.031.261.51292621183.18
光伏装备300316$ ^{\\ast} $晶盛机电17413.540.450.520.700.86302619163.97
300724$ ^{\\ast} $捷佳伟创10833.841.151.271.742.24292719154.31
300751$ ^{\\ast} $迈为股份63122.054.265.087.379.53292417134.93
603185$ ^{\\ast} $上机数控4022.672.131.342.282.8711171082.39
半导体装备002371$ ^{\\ast} $北方华创35878.20.510.781.161.6215310168489.57
300604长川科技6219.590.250.160.370.577812153346.38
603690至纯科技57220.160.530.991.251424222184.19
300567$ ^{\\ast} $精测电子9940.51.801.411.882.45232922177.49
激光设备300747$ ^{\\ast} $锐科激光195101.653.383.745.436.72302719158.67
300776帝尔激光83124.913.394.145.426.36373023205.99
智能装备300024机器人21013.470.290.290.340.41474639333.27
002747$ ^{\\ast} $埃斯顿789.40.120.160.230.33785941285.01
603960$ ^{\\ast} $克来机电5129.170.480.831.041.45613528209.40
002698$ ^{\\ast} $博实股份989.610.270.310.440.58363122174.43
检验检测300012$ ^{\\ast} $华测检测22513.580.160.270.350.45855039307.44
300572安车检测8543.641.041.111.602.174239272010.42
002690$ ^{\\ast} $美亚光电25237.310.660.820.991.205746383111.26
油服002353$ ^{\\ast} $杰瑞股份30431.710.641.321.862.43502417133.27
601808$ ^{\\ast} $中海油服3096.980.020.000.210.33349-581733211.40
600583海油工程79616.680.520.720.923223182.19
000852石化机械486.230.020.120.220.312765429202.67
600871石化油服4162.190.010.060.090.112743624216.01
600339中油工程1803.220.170.180.250.30191813110.77
$ ^{\\ast} $工业气体002430$ ^{\\ast} $杭氧股份11411.860.770.901.081.19151311102.01
轨交装备601766中国中车20006.970.390.450.510.57181514121.51
600528中铁工业22410.070.670.810.931.0715121191.33
688009$ ^{\\ast} $中国通号6846.460.380.370.440.49171715131.80
"} {"image_path": "images/5253c28aa932dcb34ffd5183d3fdeb9f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
85. 猪血浆蛋白粉(Sprayed dried plasma protein), 中国饲料号: 5-13-0002
概略养分及碳水化合物(PC/CHO),%氨基酸(AA),%
含量总氨基酸(Total AAs)氨基酸消化率(AA digestibility)
干物质(DM)91.97必需氨基酸(Essential AAs)表观回肠消化率(AID)标准回肠消化率(SID)
粗蛋白质(CP)77.84粗蛋白质(CP)77.847681
粗脂肪(EE)2.00赖氨酸(Lys)6.908587
酸水解粗脂肪(AEE)2.70蛋氨酸(Met)0.798084
粗灰分(Ash)8.68苏氨酸(Thr)4.477780
淀粉(Starch)色氨酸(Trp)1.418592
粗纤维(CF)异亮氨酸(Ile)2.698185
中性洗涤纤维(NDF)亮氨酸(Leu)7.398487
酸性洗涤纤维(ADF)缬氨酸(Val)5.127982
总膳食纤维(TDF)精氨酸(Arg)4.398891
不溶性膳食纤维(IDF)组氨酸(His)2.538587
可溶性膳食纤维(SDF)苯丙氨酸(Phe)4.258386
非淀粉多糖(NSP)非必需氨基酸(Nonessential AAs)
矿物质(Minerals)丙氨酸(Ala)4.018185
常量元素(Macro),%天冬氨酸(Asp)7.398386
钙(Ca)0.13半胱氨酸(Cys)2.608285
总磷(P)1.28谷氨酸(Glu)10.928587
植酸磷(Phytate P)甘氨酸(Gly)2.757385
钾(K)0.02脯氨酸(Pro)4.308799
钠(Na)2.76丝氨酸(Ser)4.158487
氯(Cl)1.19酪氨酸(Tyr)3.897476
镁(Mg)0.03维生素(Vitamins),mg/kg总氨基酸预测模型,粗蛋白质为变量
硫(S)1.02β-胡萝卜素(β-Carotene)常数系数
磷全消化道表观消化率,%92维生素 E(Vitamin E)赖氨酸(Lys)
磷全消化道标准消化率,%98硫胺素(Thiamin)蛋氨酸(Met)
微量元素(Micro),mg/kg核黄素(Riboflavin)苏氨酸(Thr)
铁(Fe)81烟酸(Niacin)色氨酸(Trp)
铜(Cu)14.75泛酸(Pantothenic acid)异亮氨酸(Ile)
锰(Mn)2.50吡哆醇(Pyridoxine)亮氨酸(Leu)
锌(Zn)13生物素(Biotin)缬氨酸(Val)
碘(I)叶酸(Folic acid)精氨酸(Arg)
硒(Se)1.60维生素$ B_{12} $(Vitamin$ B_{12} $)组氨酸(His)
胆碱(Choline),%苯丙氨酸(Phe)
亚油酸(Linoleic acid),%其他成分含量
有效能值(n=1)
生长阶段生长猪母猪生长猪有效能值预测模型$ R^{2} $
单位MJ/kgkcal/kgMJ/kgkcal/kg
总能(GE)19.80473319.804733
消化能(DE)19.02454619.024546
代谢能(ME)16.81401716.814017
净能(NE)10.49250610.492506
"} {"image_path": "images/be76fd824d7275afcaaa32b0f99abe78.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
接口形式2 路 RS-232、2 路 RS-422、1 路 CAN 口、1 路以太网口、1 路 PPS 输出
传输速率可配置
"} {"image_path": "images/526e7e79c61f382762803cb05a867fe0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
音频输入内置16麦阵列
支持无线扩展麦克风
支持RCA线性输入
音频输出内置6单元立体声扬声器,共30W
支持RCA线性输出
全双工通话支持12米全双工通话$ ^{[5]} $
智能消噪基于深度学习的第二代智能消噪技术
智能去混响海量仿真混响数据,智能消除混响
"} {"image_path": "images/8e5930d7965d3a9cb43c1c2dba0fec73.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日期月经天数内膜分型内膜厚右侧卵泡大者左侧卵泡大者D-窝液体检查医生
2.2830.6$ 0.8\\ast0.7 $$ 0.6\\ast0.5 $$ 2.0\\ast0.4 $方晓后
"} {"image_path": "images/48dac422b55396d9210cf7a952244d97.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检测项目标准要求单位检测结果单项结论
1表干时间(表干)<5h3.5合格
2初期干燥抗裂性(6h)1mm,无裂纹/无裂纹合格
3耐水性96h,无异常/无异常合格
4粘结强度标准状态≥0.60MPa0.74合格
浸水后≥0.300.45
5容器中状态无结块、均匀/无结块、均匀合格
6施工性刮涂无障碍/刮涂无障碍合格
7低温贮存稳定性3次循环不变质/不变质合格
8打磨性手工可打磨/手工可打磨合格
9柔韧性直径50mm,无裂纹/无裂纹合格
10耐碱性48h,无异常/无异常合格
以下空白
"} {"image_path": "images/ac8c4fc9aeef1d5cad71dda9e6ec8353.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级指标二级指标单位基准值判定依据
资源属性纤维原料-所使用的木浆纤维原料应来自于可持续森林;不得使用回收纤维原料提供采购清单及证明材料
包装材料 不应使用含有聚氯乙烯的包装材料;直接接触产品的包材不应使用回收原料提供采购清单及证明材料
化学品-所使用化学品需经安全评价提供采购清单及证明材料
单位产品取水量纸浆$ {m}^{3}/t $小于或等于 GB/T 18916.5中新建企业取水量定额值的50%依据 GB/T 18916.5进行测算并提供证明材料
生活用纸≤6
能源属性单位产品能耗纸浆kgce/t小于或等于 GB 31825 中先进值的90%依据 GB 31825 进行测算并提供证明材料
生活用纸
品质属性尘埃度总数个/$ m^{2} $≤20依据 GB/T 1541 进行检测并提供证明材料
$ 0.2 mm^{2} \\sim 1.0 mm^{2} $≤20
>1.0 $ mm^{2} \\sim 2.0 mm^{2} $≤1
>2.0$ mm^{2} $不应有
灰分原生木浆(纤维)%≤1.0依据 GB/T 742 进行检测并提供证明材料
原生非木浆(纤维)≤4.0
原生混合浆(纤维)≤3.0
D65亮度%≤88.0依据 GB/T 7974 进行检测并提供证明材料
可迁移性荧光物质-依据 GB/T 27741 进行检测并提供证明材料
丙烯酰胺mg/kg≤0.1依据 A.17 进行检测并提供证明材料
五氯苯酚mg/kg≤0.15依据 A.8 进行检测并提供证明材料
"} {"image_path": "images/631b4d869ce36764c2c5ee3cbc1dacbc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2015201620172018E2019E2020E
每股指标
每股收益0.2370.1660.1811.0961.4331.771
每股净资产3.9364.0404.1876.3307.7139.434
每股经营现金净流-0.064-0.150-0.1720.2562.3352.876
每股股利0.0500.0620.0450.0500.0500.050
回报率
净资产收益率6.03%4.11%4.32%17.32%18.58%18.77%
总资产收益率4.03%2.85%3.19%8.72%9.56%9.86%
投入资本收益率3.40%-0.61%1.29%16.83%17.21%17.57%
增长率
主营业务收入增长率2.18%15.07%-7.32%269.23%18.52%17.87%
EBIT增长率-50.30%-119.20%-330.83%4814.62%24.13%24.27%
净利润增长率-38.29%-30.04%9.03%1395.95%30.74%23.58%
总资产增长率60.25%-0.92%-2.72%446.95%19.31%19.76%
资产管理能力
应收账款周转天数4.911.722.580.080.080.0
存货周转天数25.924.113.975.075.075.0
应付账款周转天数56.444.643.7125.0125.0125.0
固定资产周转天数15.613.614.17.47.16.7
偿债能力
净负债/股东权益-78.43%-61.59%-62.18%-37.95%-33.90%-30.21%
EBIT利息保障倍数-2.10.3-0.8-57.8-60.8-63.2
资产负债率31.13%28.82%24.40%48.77%47.84%46.86%
"} {"image_path": "images/3a5623dd2b55ba63f3ab9a1987d1506c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检测结果汇总
序号检测项目单位标准要求检测结果单项判定
1风味/咸淡适中,鲜香可口,具固有风味,无异味咸淡适中,鲜香可口,具固有风味合格
2组织状态/组织致密,有弹性,切片良好,无软骨及其他杂质,无密集气孔组织致密,有弹性,切片良好,无软骨及其他杂质,无密集气孔合格
3色泽/具有产品固有的色泽具有产品固有的色泽合格
4外观/肠体均匀饱满,无损伤,表面干净,密封完好,结扎牢固,结扎部位无内容物渗出肠体均匀饱满,无损伤,表面干净,密封完好,结扎牢固,结扎部位无内容物渗出合格
5大肠菌群CFU/gn=5, c=2, m=10, M=100<10合格
6CFU/g<10
7CFU/g<10
8CFU/g<10
9CFU/g<10
10菌落总数CFU/gn=5, c=2, m=10000, M=100000<10合格
11CFU/g<10
12CFU/g<10
13CFU/g<10
14CFU/g<10
15净含量g符合《定量包装商品计量监督管理办法》35.2合格
//////
综合结论:经抽样检验,本批产品所测项目符合GB/T20712 - 2006优级标准
审核: 张颖 检验: 毕丽鲜 (盖章):
"} {"image_path": "images/bd9175dc75b50d8b0aed65f1e35b2910.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
故障现象产生原因解决方法
指示灯不亮发热盘不热1、 电源没有接通检查产品是否插紧电源
发热盘发热2、 指示灯与降压电阻接线松脱或损坏送指定的售后服务部进行维修
指示灯亮发热盘不热1、内部接线松脱或发热盘损坏送指定的售后服务部进行维修
煮成焦饭开关按键动作延迟1、内胆与发热盘接触不良检查内胆有无变形或发热盘间有无异物
2、限温器失灵送指定的售后服务部进行维修
开关按键已动作1、 限温器限温过高把内胆轻轻转动,使之恢复正常
2、功能选择键损坏送指定的售后服务部进行维修
煮饭不熟1、 内胆和发热盘之间有异物检查并清理异物,但切勿用水直接清洗
2、 发热盘变形送指定的售后服务部进行维修
3、 内胆变形
4、 内胆偏斜,一边悬空把内胆轻轻转动,使之恢复正常
5、 限温器限温偏低送指定的售后服务部进行维修
"} {"image_path": "images/f0f94500b73dcc4ab0b0eae6a4f94c36.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号设备部件材料及防腐方法备注
1澄清(沉淀)池池体耐海水混凝土、钢衬胶、钢衬玻璃钢
池体附件PVC、PP、PS、FRP
2蒸发器壳体S31603、碳钢涂环氧涂料加阴极保护
管板S31603
传热管TA1、TA2、铜合金、特种铝合金顶部3排~5排宜采用钛管
喷淋嘴S31603、PP
捕沫器S31603、PP
壳体外加强板S30403、碳钢
3冷凝器壳体S31603、碳钢涂环氧涂料加阴极保护
管板S31603
传热管TA1、TA2、铜合金、特种铝合金
壳体外加强板S30403、碳钢
4蒸汽热压缩机S31603
5海水泵、浓盐水泵泵壳、叶轮等过流部件超级不锈钢
产品水泵泵壳、叶轮等过流部件S31603
6加药泵泵头及过流部件S30403、PVC
7管道海水、浓盐水S31603、FRP
产品水S30403、FRP、PP
加药S30403、PP
真空S31603
蒸汽S30403
8阀门海水、浓盐水阀体及过流部件S25073、S31603
产品水、加药S30403
真空S31603
蒸汽S30403
"} {"image_path": "images/03416f037a4b5c551789fcf49aceab11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级指标二级指标单位基准值判定依据/方法
能源属性单位产品综合能耗tce/t≤0.1依据GB/T 2589计算产品综合能耗
环境属性是否安装粉尘回收装置-现场检查
生产车间颗粒物$ mg/m^{3} $≤3依据GBZ/T 192.1检测并提供检测报告
生产车间噪声-作业噪声限值符合GBZ 1规定要求依据GB 12348标准检测并提供检测报告
包装环保性-包装可回收或可降解,对环境无污染1) 企业自我声明;2) 现场检查包装车间及成品的包装材料
品质属性天然纤维含量%聚氯乙烯基制品≥30;
聚烯烃基制品≥60
1) 企业自我声明;2) 企业提供记录及核算依据;3) 按工序流程查验报告文件、统计报表、原始记录;4) 聚烯烃基制品依据LY/T 2554检测并提供检测报告
铅盐稳定剂-不得使用1) 企业自我声明;2) 现场检查,按工序流程查验报告文件、统计报表、原始记录及原材料使用清单等
邻苯二甲酸酯%≤0.05依据GB/T 22048检测并提供检测报告
阻燃剂-不得使用含有多溴联苯、三-(2,3-二溴丙基)-磷酸酯、二溴二苯醚、八溴联苯醚、六溴十二烷的阻燃剂1) 企业自我声明;2) 现场检查,按工序流程查验报告文件、统计报表、原始记录及原材料使用清单等;3) 依据GB/T 26125检测并提供检测报告
甲醛释放量$ mg/m^{3} $≤0.018依据GB 18580检测并提供检测报告
挥发性有机化合物(第3天)$ mg/m^{3} $苯≤0.05依据 GB/T 29899检测并提供检测报告
甲苯≤0.10
二甲苯≤0.10
总挥发性有机化合物(TVOC)≤0.30
基材(共挤层)重金属mg/kg可溶性铅≤8依据 GB/T 26125检测并提供检测报告
可溶性镉≤8
可溶性铬≤8
可溶性汞≤8
涂饰层(限色漆)重金属mg/kg可溶性铅≤20
可溶性镉≤20
可溶性铬≤20
可溶性汞≤5
"} {"image_path": "images/03b21e6e35dd01886a2e9af0d570b866.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型号PT42638NHDX
PT42658X
PT50638X
PT50658X
最大可视图像尺寸对角线约106cm对角线约127cm
固有分辨力1024×7681365×768
彩色制式PAL、SECAM、NTSC
伴音制式D/K、M、I、B/G
VGA支持输入格式VGA(640×480/60Hz)、SVGA(800×600/60Hz)、XGA(1024×768/60Hz)、WXGA(1280×768/60Hz)/(1360×768/60Hz)/(1366×768/60Hz)、SXGA(1280×1024/60Hz)
HDMI支持输入格式VGA(640×480/60Hz)、SVGA(800×600/60Hz)、XGA(1024×768/60Hz)、WXGA(1280×768/60Hz)/(1360×768/60Hz)/(1366×768/60Hz)、SXGA(1280×1024/60Hz)、480I、480P、576I、576P、720P(50/60Hz)、1080I(50/60Hz)、1080P(50/60Hz)、1080P(24Hz)
YPbPr支持输入格式480I、480P、576I、576P、720P(50/60Hz)、1080I(50/60Hz)、1080P(50/60Hz)、1080P(24Hz)
音频输出功率2×8W
输入电压及平均功率见后盖铭牌
待机功耗(约)≤1W
机身尺寸(约)
(宽×高×厚)
1021mm×658mm×73mm(不含底座)
1021mm×706mm×254mm(含底座)
1203mm×753mm×75mm(不含底座)
1203mm×804mm×269mm(含底座)
净重(约)17Kg(不含底座)
20.2Kg(含底座)
23.5Kg(不含底座)
28.3Kg(含底座)
装箱清单电视机 一台 使用说明书 一份 保修卡 一份 遥控器 一个 电池(7#) 一对 家电下乡标识卡 一份 电源线 一根
"} {"image_path": "images/844e2447b62fd8c35263caeac11f5014.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
轴标记滚轧轴切削轴
精度TK
单一节距误差(最大)$ \\pm0.020 $$ \\pm0.015 $
累积节距误差(最大)$ \\pm0.15/300mm $$ \\pm0.05/300mm $
"} {"image_path": "images/dedde0e3ab1f2f9c9aef9f1689d389e3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验项目结果参考范围单位检验项目结果参考范围单位
白细胞10.95↑4.00~9.5010^9/L淋巴细胞绝对值6.00↑1.50~4.0010^9/L
红细胞4.703.90~5.9010^12/L单核细胞绝对值1.40↑0.00~0.4510^9/L
血红蛋白125116~179g/L中性粒细胞绝对值3.502.00~7.0010^9/L
红细胞压积39.537.0~52.0%嗜酸细胞绝对值0.050.00~0.4510^9/L
平均红细胞体积84.080.0~98.0fL嗜碱细胞绝对值00.00~0.2010^9/L
平均红细胞血红26.6↓27.0~35pg红细胞分布宽度C13.20010.900~15.400%
平均红细胞血红316↓329~360.0g/L红细胞分布宽度S37.3↓39.0~46.0fL
血小板11599~30310^9/L血小板分布宽度119~17fL
淋巴细胞百分比54.8↑20.0~40.0%血小板平均体积10.17.6~13.2fL
单核细胞百分比12.8↑2.0~10.0%大血小板比率25.113.0~43.0%
中性粒细胞百分比31.9↓54.0~62.0%血小板比积0.020.00~0.39%
嗜酸细胞百分比0.5↓1.0~3.0%CRP C反应蛋白1.55<5.00mg/L
嗜碱细胞百分比0.00.0~1.0%
"} {"image_path": "images/e1f602995584aba59c6e65bc8c59da4c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
储备库名称/编号存储区域名称/编号
货架/货位编号
物资权属
物资名称
供货单位生产厂家
规格型号计量单位
储备数量入库日期
生产日期建议存储年限
备注
"} {"image_path": "images/e800787f828b55d875e8340475c7f9b5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
批量范围样本样本大小累计样本大小接收数拒收数
≤150第一
第二
13
13
13
26
0
3
3
4
151~280第一
第二
20
20
20
40
1
4
3
5
281~500第一
第二
32
32
32
64
2
6
5
7
501~1200第一
第二
50
50
50
100
3
9
6
10
1201~3200第一
第二
80
80
80
160
5
12
9
13
3201~10000第一
第二
125
125
125
250
7
18
11
19
10001~35000第一
第二
200
200
200
400
11
26
16
27
"} {"image_path": "images/8e8fc903ec317000cf12f1c0a06867d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工程名称黄小桥路(武陟山路-天堂寨路)道路工程工程地点安徽省六安裕安区现状天堂寨路与规划武陟山路之间新建段
建筑面积10547.06平方米工程造价1007.036539万元
结构类型沥青砼路面层数地上: 层
地下: 层
规划许可证号建字第341501202100888号施工许可证号341500202110190302
开工日期2021.07.20完工日期2022.1.6
建设单位六安市重点工程建设管理处法定代表人倪玉华
单位地址六安市金安区佛子岭东路与和谐西路交口项目负责人胡道林
勘察单位安徽六安工程勘察院有限责任公司资质等级乙级项目负责人张勇
设计单位六安市规划设计研究院有限公司资质等级乙级项目负责人程琛
施工总包单位中建华通建设工程有限公司资质等级及证书号市政公用工程施工总承包贰级
D251634698
法定代表人许军项目经理及证书号刘木英 川251171725787
分包单位/资质等级及证书号/
分包单位/资质等级及证书号/
监理单位六安市建工建设监理有限公司资质等级及证书号市政公用工程监理甲级
E134002822
法定代表人郑文法总监及岗位证书号郭从兰 34005416
施工图审查机构六安市建筑工程施工图设计文件审查中心资质等级及证书号一类
监督机构六安市建设工程质量安全监督处监督注册号
"} {"image_path": "images/9c6fc9c3af9350dcbbb4530dbbb26173.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
N项目名称结果参考区间单位N项目名称
1白细胞计数6.095--12x10^9/L18红细胞分布宽度变异系
2中性粒细胞比值30.8 ↓50-70%19血小板计数
3淋巴细胞比值47.0 ↑20-40%20平均血小板体积
4单核细胞比值11.5 ↑3--10%21血小板分布宽度
5嗜酸粒细胞比值10.7 ↑0.5--5%22血小板压积
6嗜碱粒细胞比值0.00--1%23大血小板比率
7中性粒细胞绝对数1.88 ↓2.50-8.40x10^9/L24有核红细胞百分比
8淋巴细胞绝对数2.861.00-4.80x10^9/L25有核红细胞计数
9单核细胞绝对数0.700.12-1x10^9/L26全血超敏C反应蛋白
10嗜酸细胞绝对数0.65 ↑0.02-0.5x10^9/L
11嗜碱细胞绝对数0.000-0.1x10^9/L
12红细胞计数4.87 ↑4.0-4.5x10^12/L
13血红蛋白浓度123.0120--140g/L
14红细胞压积0.4070.335-0.450
15平均红细胞体积83.682-100fl
16平均红细胞血红蛋白含量25.3 ↓27-34pg
17平均红细胞血红蛋白浓度302 ↓316--354g/L
"} {"image_path": "images/cdbde5eda44f8885988366bbc3f2fd40.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2021A2022A2023E2024E2025E
智能终端产品
销售收入(百万元)1716.441918.652122.032323.622518.81
增长率14.12%11.78%10.60%9.50%8.40%
毛利率13.88%15.65%16.00%15.70%14.60%
微波射频
销售收入(百万元)211.28183.88231.33293.78381.92
增长率7.07%-12.97%25.80%27.00%30.00%
毛利率43.08%49.43%38.00%37.00%37.00%
空管产品
销售收入(百万元)852.791000.721227.881534.851949.26
增长率16.87%17.35%22.70%25.00%27.00%
毛利率38.16%39.79%35.50%35.00%35.00%
合计
销售收入(百万元)3544.033884.604021.614555.045246.28
增长率7.40%9.61%3.53%13.26%15.18%
综合毛利率19.97%22.32%23.23%23.64%23.85%
"} {"image_path": "images/dbe81cad60a99643b553421db9c855fe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
最大值最小值均值中位数PB估值2018年来分位数2023股息率2023分红比例
A股中国人保3.910.851.401.160.9718%2.9%30%
中国人保1.220.380.590.480.4638%6.1%30%
H股中国财险1.640.580.920.840.9061%5.2%44%
众安在线13.920.742.702.140.922%//
"} {"image_path": "images/00d1d3dc41271f48d5f9fb30d98a9401.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
设备名称设备类别
使用单位使用登记证编号
使用地址
型号规格产品编号
安全管理负责人联系电话
安全管理人员联系电话
维护保养单位(如有)维护保养单位资质证号(如有)
序号演练内容演练描述演练日期
1动力电源断电或设备故障事故状态紧急停车
2紧急状态救至地面
3人员事故及突发急病等
4自然灾害
5其他事故处理和救援相关信息
参加救援人员
评价及改进意见:
负责人日期
"} {"image_path": "images/d10a65039271b2629fb8fc0b7f00fdf7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料类别锻件铸件板材
1/2Cr-1/2Mo$ ASTM A182 Gr.F2^{a} $--
Ni-1/2Cr-1/2Mo-$ ASTM A217 Gr.WC4^{a,b,c} $-
3/4Ni-3/4Cr-1Mo-$ ASTM A217 Gr.WC5^{b,c} $-
温度/℃公称压力 Class
1503006009001 5002 500
最大允许工作压力/MPa
-29~381.985.1710.3415.5125.8643.09
501.955.1710.3415.5125.8643.09
1001.775.1510.3015.4625.7642.94
1501.585.0310.0315.0625.0841.82
2001.384.869.7214.5824.3440.54
2501.214.639.2713.9023.1838.62
3001.024.298.5712.8621.4435.71
3250.934.148.2612.4020.6634.43
3500.844.038.0412.0720.1133.53
3750.743.897.7611.6519.4132.32
4000.653.657.3310.9818.3130.49
4250.553.527.0010.5117.5129.16
4500.463.376.7710.1416.9028.18
4750.373.176.349.5115.8226.39
5000.282.675.348.0113.3422.24
5380.141.392.794.186.9711.62
550-1.262.523.786.3010.50
575-0.721.442.153.595.98
a 不得用于538℃以上。
b 仅允许用正火加回火材料。
c 禁止添加任何在ASTM A217表1中未列入的其他元素,但作为脱氧而添加的Ca和Mg除外。
"} {"image_path": "images/02abe03bff18036f8cb5819e0b383a6c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
商品名称及规格单位数量单价金额备注
刻章130.003000
合计金额(大写) 拾 万 仟 佰叁拾零元零角零分 ¥:$ \\underline{30.00} $
"} {"image_path": "images/a2bc7b03a6aeb5f23cd8752b8594ed2d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
捐赠者基本信息
捐赠者姓名捐赠者ID
性别□男 □女出生日期
样本收集与处理信息
样本类型样本编号
采样日期样本采集人员
样本采集量
处理方法(温度、操作):
处理开始时间处理完成时间
样本信息
样本编码肿瘤类型(T或N)取材数量组织质量(A或B或C)
运输保存
保存条件保存温度
运输方式运输时间
备注
注1:捐赠者ID以肿瘤类别(两位数)+年份(四位数)+流水号(四位数)+组成样本编码。
注2:样本类型,根据NIH的病例检索标准进行填写。
注3:肿瘤类型,用T和N代表肿瘤及正常,T及N后面的数字表示取材份数。
注4:组织质量用A、B、C表示(A=无明显坏死、B=散在坏死、钙化,C=大量坏死)。
"} {"image_path": "images/3d2bd699d68c372db1f26c769cb8e790.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称软性亲水接触镜注册证或备案凭证编码国械注进20163220371
生产企业名称Bausch & Lomb Incorporated
代理人名称北京博士伦眼睛护理产品有限公司
召回单位负责人和联系方式,经办人和联系方式魏培康 010-87157000
卢灿龙 010-87157000
产品的适用范围采用光学成像原理,用于矫正近视。
涉及地区和国家中国召回级别三级主动召回
涉及产品生产(或进口中国)批次、数量2016年1月至2018年8月生产的产品,468013盒涉及产品型号、规格月抛型
识别信息
(如批号)
生产日期:2016年1月至2018年8月涉及产品在中国的销售数量468013盒
召回原因简述该软性亲水接触镜说明书折射率值出现笔误,将正确折射率值1.4036错写成i 1.4306 i并附入产品包装中。(注1:由于折射率不会在验配及使用环节被使用,因此该笔误不会对验配员及消费者产生任何影响。注2:注册证和技术要求中正确的折射率为1.4036。 )
纠正行动简述(包括召回要求和处理方式等)1. 立即修改说明书中折射率为1.4036,并附入新生产的产品中;
2. 针对2016年1月至2018年8月生产并已上市销售的产品,通过博士伦中国官网www.bausch.com.cn向客户及消费者发布警示,告知该问题。在需要时,参照修改后的说明书(折射率1.4036)。
3. 此召回不涉及产品替换、收回、重新贴标等与实物相关的处理。
"} {"image_path": "images/777e341d839de0302b9421a1cd64786e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编号分类评分项目分值评分内容得分
$ S_{1} $资料审查
8
安全管理资料1a)安全管理规章制度与安全操作规则(规程)齐全,为0分;
b)安全管理规章制度与安全操作规则(规程)不齐全,为0.5分;
c)无安全管理规章制度与安全操作规则(规程),为1分。
技术档案资料4a)年度检查报告齐全,为0分;
b)年度检查报告不齐全,为0.5分;
c)无年度检查报告,为1分。
a)定期检验报告齐全,为0分;
b)定期检验报告不齐全,为0.5分;
c)无定期检验报告,为1分。
a)设计文件资料齐全,为0分;
b)设计文件资料不齐全,为0.5分;
c)无设计文件资料,为1分。
a)安装、改造、维修资料齐全,为0分;
b)安装、改造、维修资料不齐全,为0.5分;
c)无安装、改造、维修资料,为1分。
运行状况资料3a)日常运行维护记录齐全,为0分;
b)日常运行维护记录不齐全,为0.5分;
c)无日常运行维护记录,为1分。
a)隐患排查治理、故障与事故记录齐全,为0分;
b)隐患排查治理、故障与事故记录不齐全,为1分;
c)无隐患排查治理、故障与事故记录,为2分。
"} {"image_path": "images/54f930833a7b5a7e8819cf7655c74ac7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级指标二级指标单位基准值判定依据
资源属性纤维原料所使用的木浆纤维原料应来自于可持续森林;不得使用回收纤维原料提供采购清单及证明材料
包装材料不应使用含有聚氯乙烯的包装材料;直接接触产品的包材不应使用回收原料提供采购清单及证明材料
化学品所使用化学品需经安全评价提供采购清单及证明材料
单位产品取水量纸浆$ m^{3}/t $小于或等于GB/T 18916.5中新建企业取水量定额值的50%依据GB/T 18916.5进行测算并提供证明材料
生活用纸≤6
能源属性单位产品能耗纸浆kgce/t小于或等于GB 31825中先进值的90%依据GB 31825进行测算并提供证明材料
生活用纸
品质属性尘埃度总数$ \\text{个}/m^{2} $≤20依据GB/T 1541进行检测并提供证明材料
$ 0.2mm^{2}~1.0mm^{2} $≤20
$ >1.0mm^{2}~2.0mm^{2} $≤1
$ >2.0mm^{2} $不应有
灰分原生木浆(纤维)%≤1.0依据GB/T 742进行检测并提供证明材料
原生非木浆(纤维)≤4.0
原生混合浆(纤维)≤3.0
D65亮度%≤88.0依据GB/T 7974进行检测并提供证明材料
可迁移性荧光物质-依据GB/T 27741进行检测并提供证明材料
丙烯酰胺mg/kg≤0.1依据A.17进行检测并提供证明材料
五氯苯酚mg/kg≤0.15依据A.8进行检测并提供证明材料
"} {"image_path": "images/31533e3e13103d1862c68b7d04dd42cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验项目英文对照结果单位参考值
1酸碱度PH7.552 ↑7.35-7.45
2二氧化碳分压PCO223.30 ↓mmHg35-45
3氧分压PO291.40mmHg80-100
4实测总血红蛋白ctHb14.30g/dl12-17.5
5氧饱和度sO298.50 ↑%93-98
6氧和血红蛋白分数FO2Hb97.70%93-98
7还原血红蛋白分数FHHb1.50 ↓%2-7
8钾离子cK+3.30 ↓mmol/L3.4-4.5
9钠离子cNa+139.00mmol/L136-146
10氯离子cCl-106.00mmol/L98-106
11钙离子浓度cCa2+1.14 ↓mmol/L1.15-1.29
12PH7.4钙离子浓度cCa2+1.24mmol/L1.15-1.29
13葡萄糖GLU6.3 ↑mmol/L3.89-5.83
14血浆碳酸氢盐浓度cHCO-3(p)20.40 ↓mmol/L22-26
15标准碳酸氢盐浓度cHCO-3(P,ST)24.40mmol/L22-26
16乳酸浓度cLac2.90 ↑mmol/L0.5-1.6
17分流指数ctO2(B)0.70↓%1-10
18阴离子隙AnGap12.90mmol/L8-16
19标准剩余碱SBE-1.90mmol/L-3-3
20红细胞压积Hct44.00 ↑37-43
21肺泡-动脉氧分压差pO2(A-a)13.40mmHg5-15
22全血氧含量ctO2(B)19.80ml/dl16-22
23氧饱和度50%时氧分压P5022.19 ↓mmHg25-29
24全血二氧化碳总量tCO2(B)17.70 ↓mmol/L24-32
25平均肺泡氧分压pO2(A)104.80 ↑mmHg100-100
26体温下平均肺泡氧分压pO2(A,T)105.60 ↑mmHg100-100
27患者体温下,氧饱和度50%时氧分压p50(T)21.38 ↓mmHg25-29
28标准状态下,氧饱和度50%时氧分压P50(st)26.84mmHg25-29
29患者体温下,肺泡动脉氧分压差pO2(A-a,T)16.80 ↑mmHg5-15
30实际剩余碱ABE-0.10mmol/L-3-3
31K+作为可测定阳离子的阴离子间隙AnGap(K+)16.30mmol/L12-20
32动脉氧分压与肺泡氧分压比pO2(a/A)87.20%85-95
33体温下动脉氧分压与肺泡氧分压比pO2(a/A,T)84.10 ↓%85-95
34氧合指数pO2(a)/FO2(I)435.00400-500
35患者体温下的氧合指数pO2(a,T)/FO2(I)423.00400-500
36温度T36.5
37吸氧浓度FO2(I)21.0%
38患者体温下氧分压pO2(T)88.80mmHg80-100
39氢离子浓度cH+28.10nmol/L
"} {"image_path": "images/def94834c879817e13ce4fa4920ddd6c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验项目名称结果范围单位检验项目名称结果范围单位
WBC 白细胞6.694-1010^9/LHGB 血红蛋白121110-150g/L
NEUT% 中性粒细胞比率52.550-70%HCT 红细胞压积38.137-54%
LYMPH% 淋巴细胞比率41.1↑20-40%MCV 红细胞平均体积92.0080-100fL
MONO% 单核细胞比率5.23-12%MCH 平均血红蛋白量29.227-34pg
EO% 嗜酸性粒细胞比率1.00.5-5%MCHC 平均血红蛋白浓度317300-340g/L
BASO% 嗜碱性粒细胞比率0.20-1.0%R-CV 红细胞分布宽度CV12.4011-16%
NEUT# 中性粒细胞数3.512-710^9/LR-SD 红细胞分布宽度SD47.8035-56fL
LYMPH# 淋巴细胞数2.750.8-410^9/LPLT 血小板330↑100-30010^9/L
MONO# 单核细胞数0.350.12-1.210^9/LMPV 平均血小板体积8.206.5-12fL
E0# 嗜酸性粒细胞数0.070.02-0.510^9/LPDW 血小板分布宽度15.709-17fL
BASO# 嗜碱性粒细胞数0.010-0.110^9/LPCT 血小板压积0.2690.108-0.282%
RBC 红细胞4.143.5-5.510^12/LCRP C反应蛋白6.50-10mg/L
"} {"image_path": "images/f8fe059d0d1663827528957889f9643d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
样品名称:鄢陵县中心水厂水源水委托单位:鄢陵县康源供水有限公司
样品编号:W20200617031电话/地址:13137422181
样品性状:淡黄色收样日期:2020.06.17
样品来源:送检检测日期:2020.06.17~2020.06.28
采样地点:鄢陵县中心水厂水源地执行标准:《地表水环境质量标准》GB3838-2002Ⅲ类值
检测项目计量单位检测结果标准限值检测方法
粪大肠菌群个/L2010000HJ/T347-2007
mg/L0.001≤0.05GB/T5750.6-2006-6.1
mg/L0.0001≤0.005GB/T7475-1987
铬(六价)mg/L0.005≤0.05GB7467-1987
mg/L0.004≤0.05GB/T7475-1987
mg/L<0.00005≤0.0001GB/T5750.6-2006-8.1
mg/L<0.001≤0.01GB/T5750.6-2006-7.1
氰化物mg/L0.002≤0.2HJ484-2009
氟化物mg/L0.19≤1.0HJ/T84-2001
硫化物mg/L<0.005≤0.2GB/T16489-1996
石油类mg/L<0.01≤0.05HJ637-2012
硝酸盐氮(以N计)mg/L0.91≤10GB/T5750.5-2006-5.3
三氯甲烷mg/L<0.01≤0.06GB/T5750.8-2006-1.2
四氯化碳mg/L<0.001≤0.002GB/T5750.8-2006-1.2
色度铂钴色度单位11.3GB/T5750.4-2006-1.1
浊度NTU2.56GB/T5750.4-2006-2.1
臭和味GB/T5750.4-2006-3.1
肉眼可见物少量颗粒悬浮物GB/T5750.4-2006-4.1
pH8.346.0-9.0GB6920-1986
mg/L0.132GB/T5750.6-2006-1.3
mg/L0.06≤0.3GB/T5750.6-2006-2.1
mg/L<0.05≤0.1GB/T5750.6-2006-3.1
mg/L<0.05≤1.0GB/T7475-1987
mg/L<0.05≤1.0GB/T7475-1987
氯化物mg/L8.2≤250GB/T5750.5-2006-2.2
硫酸盐mg/L23.1≤250GB/T5750.5-2006-1.2
溶解性总固体mg/L172GB/T5750.4-2006-8.1
总硬度(以CaCO3计)mg/L126.5GB/T5750.4-2006-7.1
高锰酸盐指数mg/L1.90≤6GB11892-1989
挥发酚类mg/L<0.002≤0.005HJ503-2009
阴离子表面活性剂mg/L<0.1≤0.2GB/T7494-1987
氨氮mg/L0.14≤1.0HJ535-2009
总磷(以P计)mg/L<0.01≤0.2GB11893-1989
总氮(以N计)mg/L0.53≤1.0HJ636-2012
溶解氧mg/L11.92≥5HJ506-2009
化学需氧量(COD)mg/L7.5≤20GB11914-1989
总$ \\alpha $放射性Bq/L0.020GB/T5750.13-2006-1.1
总$ \\beta $放射性Bq/L0.081GB/T5750.13-2006-2.1
"} {"image_path": "images/7cc418b62d7c63516b43b1a67fa2f13a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2015201620172018E2019E2020E
主营业务收入2,7983,2192,98411,01713,05715,390
增长率15.1%-7.3%269.2%18.5%17.9%
主营业务成本-2,046-2,537-2,306-7,624-8,970-10,481
%销售收入73.1%78.8%77.3%69.2%68.7%68.1%
毛利7526826783,3934,0874,909
%销售收入26.9%21.2%22.7%30.8%31.3%31.9%
营业税金及附加-11-12-14-97-115-135
%销售收入0.4%0.4%0.5%0.9%0.9%0.9%
营业费用-564-561-526-1,647-1,952-2,301
%销售收入20.2%17.4%17.6%15.0%15.0%15.0%
管理费用-124-118-114-487-577-680
%销售收入4.4%3.7%3.8%4.4%4.4%4.4%
息税前利润(EBIT)53-10241,1621,4431,793
%销售收入1.9%n.a0.8%10.6%11.1%11.7%
财务费用262931202428
%销售收入-0.9%-0.9%-1.0%-0.2%-0.2%-0.2%
资产减值损失-20-1-8-9-12
公允价值变动收益000000
投资收益0292384146
%税前利润0.0%45.8%3.2%3.1%2.7%2.4%
营业利润7748621,2271,5141,873
营业利润率2.8%1.5%2.1%11.1%11.6%12.2%
营业外收支10164101112
税前利润8764661,2371,5251,885
利润率3.1%2.0%2.2%11.2%11.7%12.2%
所得税60-3-87-107-132
所得税率-6.6%0.4%4.0%7.0%7.0%7.0%
净利润9364641,1501,4191,753
少数股东损益-2-3-96500
归属于母公司的净利润9567731,0851,4191,753
净利率3.4%2.1%2.4%9.8%10.9%11.4%
"} {"image_path": "images/b3d84ba382314a80c1f9f555e417720c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级指标二级指标单位基准值判定依据
品质属性
生物杀伤剂含量异噻唑啉酮氯甲基异噻唑啉酮/甲基异噻唑啉酮(3/1)[CMI/MI(3/1)]mg/kg≤15提供全部生物杀伤剂使用清单(不得添加物质的污染限值均为50 mg/kg)
辛基异噻唑啉酮(OIT)mg/kg≤500
苯并异噻唑酮(BIT)mg/kg≤500
甲基异噻唑酮(MI)mg/kg≤200
双氯辛基异噻唑啉酮(DCOIT)mg/kg≤500
异噻唑啉酮含量总和mg/kg≤750
碘代丙炔基氨基甲酸丁酯(IPBC)mg/kg≤1 500
吡啶硫酮锌(ZPT)mg/kg≤1 500
二(3-氨丙基)十二烷基胺mg/kg≤500
多菌灵、敌草隆、百菌清、三氯生均不得添加
涉及在体内验证试验中确认具有内分泌干扰的生物杀伤剂不得添加
涉及致癌性、生殖细胞致突变性、生殖毒性中类别1的生物杀伤剂不得添加
安全标签符合GB 15258要求提供证明材料
产品安全技术说明书(SDS)符合GB/T 16483要求提供证明材料
包装包装材质不得含有聚氯乙烯或其他含有表2中有害物质的塑料提供证明材料
符合GB/T 13491和GB/T 16716.1要求
"} {"image_path": "images/5a84608342135538714edc875227b266.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基本功能量程基本精度
型号VICTOR 6050VICTOR 6052
直流电压400mV/4V/40V/400V±(0.5%+4)±(0.5%+4)
1000V±(1.0%+6)±(1.0%+6)
交流电压400mV±(1.6%+8)±(1.6%+8)
4V/40V/400V±(0.8%+10)±(0.8%+10)
750V±(1.0%+10)±(1.0%+10)
直流电流400A±(2.5%+20)
2000A±(3.5%+20)
交流电流400A±(2.5%+20)±(2.5%+20)
2000A±(3%+10)±(3%+10)
电阻400$ \\Omega $±(0.8%+5)±(0.8%+5)
4k$ \\Omega $/40k$ \\Omega $/400k$ \\Omega $/4M$ \\Omega $±(0.8%+4)±(0.8%+4)
40M$ \\Omega $±(1.2%+10)±(1.2%+10)
电容40nF±(5.0%+30)±(5.0%+30)
400nF/4μF/40μF±(3.5%+8)±(3.5%+8)
100μF±(5.0%+10)±(5.0%+10)
频率5.120Hz/51.20Hz/512.0Hz/5120kHz/51.20kH z/512.0kHz/100.0kHz±(0.5%+4)±(0.5%+4)
特殊功能
二极管测试
通断报警
数据保持
低电压显示
自动关机
占空比
功能保护
交流电流频响(50-60)Hz
输入阻抗10M$ \\Omega $
背光显示
"} {"image_path": "images/3ebcc7711ebbf9df39651a6194887f13.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标/参数/方法单位2013201420152016201720182019202020212022
基础参数市场规模总人口万人136,726137,646138,326139,232140,011140,541141,008141,212141,260141,175
平均家庭户规模人/户2.982.973.103.113.033.002.922.852.772.76
户数万户45,88146,34544,62144,76946,20846,84748,29049,63550,99651,150
年末百户保有量空调台/百户7075829196109116118131134
冰箱828689949599101102104104
洗衣机81848690929496979999
彩电116119120121122119121121119119
年末总保有量空调亿台3.233.493.644.074.445.125.585.846.696.85
冰箱3.763.963.974.194.404.634.875.055.305.33
洗衣机3.713.883.864.024.244.394.644.805.035.06
彩电5.335.525.355.415.655.595.826.006.056.08
保有量提升反推保有量变化空调万台-2,5511,5154,3293,7116,7974,6212,5978,4871,583
冰箱-2,003882,1462,1772,2302,4591,8042,457313
洗衣机-1,719(238)1,6502,1701,5602,4261,6382,336305
彩电-1,976(1,743)5802,385(596)2,3681,721573285
内销出货量空调万台6,2357,0176,2696,0498,8769,2819,2168,0288,7968,754
冰箱5,6015,2994,9164,7314,4804,3104,3384,2704,2654,123
洗衣机3,7693,7633,9054,1154,4144,5324,4934,2914,4534,077
彩电5,3505,0415,1205,5255,3445,4065,3564,8174,1414,102
更新需求空调万台-4,4654,7541,7205,1652,4844,5955,4313107,171
冰箱-3,2964,8282,5852,3032,0801,8802,4661,8083,810
洗衣机-2,0443,9052,4652,2432,9722,0672,6522,1173,771
彩电-3,0655,1204,9452,9595,4062,9893,0963,5683,817
更新需求占比空调--64%76%28%58%27%50%68%4%82%
冰箱--62%98%55%51%48%43%58%42%92%
洗衣机--54%100%60%51%66%46%62%48%93%
彩电--61%100%89%55%100%56%64%86%93%
动态更新周期空调-7.817.6523.668.6020.6112.1510.76216.059.55
冰箱-12.028.2316.1919.1222.2525.9220.4929.3113.99
洗衣机-18.989.8716.3118.8914.7822.4318.1023.7813.43
彩电-18.0210.4510.9419.0810.3419.4919.3716.9715.93
假设平均更新周期10年空调更新占比52%50%58%67%50%55%61%73%76%78%
冰箱67%75%81%88%98%107%112%118%124%129%
洗衣机98%103%99%98%96%97%103%112%113%124%
彩电100%110%104%98%106%103%109%124%146%148%
11年空调更新占比47%45%53%61%45%50%55%66%69%71%
冰箱61%68%73%80%89%98%102%108%113%118%
洗衣机89%94%90%89%87%88%94%102%103%113%
彩电91%100%95%89%96%94%99%113%133%135%
12年空调更新占比43%41%48%56%42%46%50%61%63%65%
冰箱56%62%67%74%82%89%94%99%104%108%
洗衣机82%86%82%81%80%81%86%93%94%104%
彩电83%91%87%82%88%86%91%104%122%124%
13年空调更新占比40%38%45%52%38%42%47%56%59%60%
冰箱52%58%62%68%76%83%86%91%96%99%
洗衣机76%79%76%75%74%75%79%86%87%96%
彩电77%84%80%75%81%80%84%96%112%114%
14年空调更新占比37%35%41%48%36%39%43%52%54%56%
冰箱48%53%58%63%70%77%80%85%89%92%
洗衣机70%74%71%70%69%69%74%80%81%89%
彩电71%78%75%70%75%74%78%89%104%106%
"} {"image_path": "images/6a1edb31ffe5295310a269ab263600a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
高性能算力规模(EFLOPS)时延(毫秒)利用率
20242025
武汉4.5(FP32),标准机架数不少于5.5万个25年,市内单向时延<1ms,省内时延<3ms,国内枢纽节点时延<10ms。25年达到60%
北京20(FP32)
上海14(FP32)24年,市内单向时延<15ms;25年,市内单向时延<10ms24年达到75%,25年达到85%
深圳通用算力14(FP32),智能算力25(FP16),超算算力2(FP64)25年,市内单向时延<1ms,至贵安国家枢纽节点<10ms
江苏省24(FP32)
杭州市5(FP16)
山东省12.5(FP32)25年,市内单向时延<1ms,省内<3ms
山西省9(FP32)25年,市内单向时延<1ms,省内<3ms,京津冀枢纽节点<5ms
福建省6.5(FP32)8(FP32)2025年,市内单向时延<1ms、中心城市间<5ms
湖南省10(FP32)省内较2022年降低80%以上时延25年不低于60%
安徽省14.6(FP32)25年,市内单向时延<1ms
"} {"image_path": "images/ec99faea55457076cede9884566ddc36.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称单位数量单价金额备注
合计人民币(大写) 佰 拾 万 仟 佰 拾 元 角 分 ¥ ___
"} {"image_path": "images/e0b701431554511eb61af18e94f1b319.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地区合计新增债券政府外债
一般债券专项债券小计
全省
省本级
成都市
绵阳市
自贡市
...
"} {"image_path": "images/b0e41f348133d71e39abe9b2a015cf59.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测试项目(计量单位)
[样品标识]
测试方法
(参数说明)
技术要求
(备注)
测试结果判定
成衣外观GB/T 14272-2021 第5.5章节合格;符合符合
(规格尺寸偏差除外)
合格
——
备注1. 本实验室根据客户要求完成以上检测内容,检测结果仅适用于收到的样品。 复制报告未加盖本机构“检验检测专用章”无效。
2. “未检出”指小于报告限。
3. 标记“--”的测试项目表示不予判定或不具备判定条件。
4. 除非客户要求,本报告检测结果及符合性判定不考虑测量结果的不确定度。
5. 客户未能提供服装规范号型,充绒量按130g判定。
"} {"image_path": "images/a2b81ee2d601c4276493c198ca594a3d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号中文名称检验方法项目结果单位状态参考值
1颜色COLOR黄色
2透明度TMD
3葡萄糖GLU- 0 mmol/LNormal
4维生素CVc- 0 mmol/Lmmol/L
5胆红素BIL- 0 mmol/L阴性(-)
6酮体KET- 0 mmol/L阴性(-)
7比重SG1.0151.003-1.030
8隐血BLD- 0 Cells/uL阴性(-)
9酸碱度pH7.04.5-7.5
10蛋白质PRO- 0 g/L0-0.01
11尿胆原URO-阴性(-)
12亚硝酸盐NIT-阴性(-)
13粒细胞酯酶WBC- 0 Cells/uL0-12/u1
14镜检白细胞镜检WBC0/HP0-3/HPF
15镜检红细胞镜检RBC0/HP0-偶见/HP
16上皮细胞上皮细胞0/LP0-少许/LP
17粘液丝粘液丝00-少许/LP
18透明管型透明管型0/LP0-偶见/LPF
19细胞管型细胞管型0/LP少见
20颗粒管型颗粒管型0/LP0-偶见/LPF
21蜡样管型蜡样管型0/LP少见
22细菌细菌0个/μL0 - 8000
23草酸钙结晶草酸钙结晶0个/HP
24非晶盐类非晶盐类0个/HP
25脓细胞脓细胞0个/HP0-偶见/LP
26结晶结晶0
"} {"image_path": "images/df3b352ab98678b006e7015dfd31771e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称红外耳温枪注册证或备案凭证编码粤械注准 20162201225
生产企业名称东莞市森普实业有限公司
代理人名称不适用
召回单位负责人和联系方式,经办人和联系方式负责人:江敏健 13600016866 经办人:刘康 13538525634
产品的适用范围适用于通过测量人体耳腔的热辐射来显示人体温度
涉及地区和国家中国召回级别
涉及产品生产(或进口中国)批次、数量500台涉及产品型号、规格TE-68
识别信息(如批号)200215321100001132涉及产品在中国的销售数量355台
召回原因简述1.防电击程度符号与技术要求中不一致;样品标签显示为“B型应用部分”技术要求备注为“BF型应用部分”;

2.产品标签中产品批号/编号部分内容经擦拭内部缺失,无法清晰可见。
纠正行动简述(包括召回要求和处理方式等)针对上述情况,东莞市森普实业有限公司将采取以下措施:

由于该产品标识不涉及产品性能安全,所以采取“信息告知方式”对缺失内容信息以书面形式告知销售商客户,并对该批次产品进行标签更换。
"} {"image_path": "images/48ab6653f5069ea0a183d9f1ec6cb53a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
厂名:平原和盛食品有限公司 参照采用标准:GB2707-2016、农业部235号公告
产品名称冻鸡翅根规格$ 0.98kg\\ast10 $状态冻品
抽检数量260kg生产日期2022年6月20日
检测项目单位标准要求检测结果单项结论



色泽/5符合标准合格
气味/具有该品种应有的气味,无异味符合标准合格
状态/具有该品种应有的状态,无正常视力可见外来异物符合标准合格



解冻失水率%≤98.34合格
挥发性盐基氮mg/100g≤159.55合格
氯霉素$ \\mu g/kg $不得检出(检出线$ 0.1\\mu g/kg $)未检出合格
呋喃它酮代谢物$ \\mu g/kg $不得检出(检出线$ 0.5\\mu g/kg $)未检出合格
呋喃唑酮代谢物$ \\mu g/kg $不得检出(检出线$ 0.5\\mu g/kg $)未检出合格
呋喃西林代谢物$ \\mu g/kg $不得检出(检出线$ 0.5\\mu g/kg $)未检出合格
喹乙醇代谢物$ \\mu g/kg $不得检出(检出线$ 0.5\\mu g/kg $)未检出合格
金刚烷胺$ \\mu g/kg $不得检出(检出线$ 0.5\\mu g/kg $)未检出合格
氧氟沙星$ \\mu g/kg $不得检出(检出线$ 0.5\\mu g/kg $)未检出合格
氟喹诺酮类$ \\mu g/kg $≤100符合标准合格
磺胺类$ \\mu g/kg $≤100符合标准合格
氯羟吡啶$ \\mu g/kg $≤100符合标准合格
四环素$ \\mu g/kg $≤200符合标准合格
综合评定经检验,符合GB2707-2016及农业部235号公告,准予出厂!
"} {"image_path": "images/5d700d17dd5591d9fb2bbe70b661162f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
部门姓名
借款事由
借款金额(大写) 万 仟 佰 拾 元
预计还款报销日期
部门负责人意见总经理意见副总经理意见借款人签收
"} {"image_path": "images/d0c475dd188780197eb8d7b20fb49e69.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
负债和股东权益附注十四期末余额期初余额
流动负债:
短期借款9,010,175.00#19,436,860.84
交易性金融负债
衍生金融负债
应付票据
应付账款80,881,788.93#86,351,826.42
预收款项
合同负债121,300,851.44#126,623,513.24
应付职工薪酬9,155,228.07#7,623,169.39
应交税费6,674,758.94#3,755,876.93
其他应付款1,046,842.96#2,436,209.94
持有待售负债
一年内到期的非流动负债264,994.37#146,980.45
其他流动负债25,735,316.15#35,998,539.05
流动负债合计254,069,955.86282,372,976.26
非流动负债:
长期借款99,000,000.00
应付债券
其中:优先股
永续债
租赁负债334,626.84#489,529.53
长期应付款
长期应付职工薪酬
预计负债
递延收益
递延所得税负债806,717.29#25,446.57
其他非流动负债
非流动负债合计100,141,344.13514,976.10
负债合计354,211,299.99282,887,952.36
股东权益:
股本184,015,879.00#102,231,044.00
其他权益工具
其中:优先股
永续债
资本公积630,716,154.75#709,956,083.72
减:库存股
其他综合收益
专项储备
盈余公积46,918,108.41#42,768,718.10
未分配利润398,213,992.16#376,204,135.97
股东权益合计1,259,864,134.321,231,159,981.79
负债和股东权益总计1,614,075,434.311,514,047,934.15
"} {"image_path": "images/64e639c5cbf51d745c8b2355cb8cf371.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称及规格海天上等蚝油6kg生产日期2022年05月04日
生产批号20220504样品状态外包装完好
检验日期2022年05月04日报告日期2022年05月06日
序号检验项目标准要求单位检测结果判定
1色泽红棕色至棕褐色,鲜亮有光泽符合合格
2气味有熟蚝香符合合格
3滋味味鲜美,咸淡适口或鲜甜,无异味符合合格
4体态粘稠适中,均匀,不分层,不结块,无异物符合合格
5净含量≥6kg6.010合格
6食盐 (以氯化钠计)≤14.0g/100g8.99合格
7总酸 (以乳酸计)≤1.2g/100g0.32合格
8氨基酸态氮≥0.3g/100g0.37合格
9总固形物≥21.0g/100g29.3合格
10挥发性盐基氮≤50mg/100g2.50合格
11菌落总数n=5
c=2
m=10000
M=100000
CFU/g<10合格
<10
<10
<10
<10
12大肠菌群n=5
c=2
m=10
M=100
CFU/g<10合格
<10
<10
<10
<10
检验依据GB/T 21999-2008《蚝油》
检验结论经检验,该批次产品所检项目符合GB/T 21999-2008《蚝油》标准和[海天上等蚝油6kg]产品明示质量指标要求。
2022-05-06
"} {"image_path": "images/ba873ae6c3c95011b2baf227524cf6a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
帧说明帧格式
帧类型数据类型帧类型 + 数据类型参数信息
通信帧00000001: 控制帧, 通信模块→控制系统01H参照物联网家电的具体控制和查询指令参数
000010: 状态帧, 控制系统→通信模块02H参照物联网家电的具体状态参数
000011: 无效(失败)帧, 控制系统→通信模块03H00: 无效数据(数据正确, 但家电无法执行);
01: 校验错误(接收数据错误);
02: 超时、通信失败(通信超时)
000100: 故障报警帧, 控制系统→通信模块04H物联网家电故障参数
000101: 确认帧05H
000110: 汇报帧, 控制系统→通信模块06H参照物联网家电具体指令参数
000111: 停止故障报警帧, 通信模块→控制系统07H
001000~111111: 保留, 供扩展用08H~3FH
管理帧01000001: 读取家电通信速率帧, 通信模块→控制系统41H
000010: 通信速率应答帧,控制系统→通信模块42H00:300 bit/s
01:600 bit/s
02:1200 bit/s
03:2400 bit/s
04:3600 bit/s
05:4800 bit/s
06:7200 bit/s
07:9600 bit/s
08:14400 bit/s
09:19200 bit/s
10:28800 bit/s
11:38400 bit/s
12:57600 bit/s
13:76800 bit/s
14:115200 bit/s
000011: 设置通信速率帧,控制系统→通信模块43H00:300 bit/s
01:600 bit/s
02:1200 bit/s
03:2400 bit/s
04:3600 bit/s
05:4800 bit/s
06:7200 bit/s
07:9600 bit/s
08:14400 bit/s
09:19200 bit/s
10:28800 bit/s
11:38400 bit/s
12:57600 bit/s
13:76800 bit/s
14:115200 bit/s
"} {"image_path": "images/636805ff8b75add628826b542bff4686.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料类别锻 件铸 件板 材
49Ni-25Cr-18Fe-6MoASTM B582 $ Gr.N06975^{a} $
Ni-Fe-Cr-Mo-Cu-Low CASTM B564 $ Gr.N08031^{b} $ASTM B625 $ Gr.N08031^{b} $
温度/℃公称压力 Class
15030060090015002500
最大允许工作压力/MPa
-29~382.005.1710.3415.5125.8643.09
501.955.1710.3415.5125.8643.09
1001.774.829.6314.4524.0840.14
1501.584.589.1613.7422.8938.16
2001.384.368.7113.0721.7836.29
2501.214.158.2912.4420.7334.55
3001.023.947.8711.8119.6832.81
3250.933.847.6911.5319.2232.03
3500.843.777.5511.3218.8731.45
3750.743.727.4311.1518.5830.97
4000.653.657.3310.9818.3130.49
4250.553.527.0010.5117.5129.16
$ ^{a} $ 只用固溶退火材料。
$ ^{b} $ 只用退火材料。
"} {"image_path": "images/62595f6ece7952c918807177f526eca5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓名性别年龄科别申请医生床号住院号ID号
48岁乳腺甲状腺外科门诊赵健洁203997273
检查部位乳腺常规1.5T以上MR增强检查时间2020-07-03 18:20:55
"} {"image_path": "images/5ba53b2988f75e27c21046b89438774b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检测项目要求检测方法01单项评定
1甲醛(mg/kg)≤20GB/T 2912.1-2009ND符合
2可分解致癌芳香胺染料(mg/kg)$ ^{\\ast} $禁用(≤20)GB/T 17592-2011ND符合
3耐水色牢度/级变色≥3-4GB/T 5713-20135符合
沾色5符合
5符合
4耐酸汗渍色牢度/级变色≥3-4GB/T 3922-20135符合
沾色5符合
5符合
5耐碱汗渍色牢度/级变色≥3-45符合
沾色5符合
5符合
6耐唾液色牢度/级变色≥4GB/T 18886-20025符合
沾色5符合
5符合
7耐摩擦色牢度/级干摩纵向≥4GB/T 3920-20085符合
横向5
8异味无异味GB 31701-2015
第6.7章
无异味符合
9纤维含量/%——FZ/T
01057.1~4-2007&GB/T 2910-2009
棉100——
10外观质量$ ^{\\ast} $按GB/T 33271-2016规定GB/T 33271-2016符合符合
11标识标志$ ^{\\ast} $按GB/T 5296.4-2012规定GB/T 5296.4-2012符合符合
"} {"image_path": "images/5cf0b56440b6a1a5bee67358a071e34f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
66. 膨化玉米(Extruded corn),中国饲料号:4-07-0005
概略养分及碳水化合物(PC/CHO),%氨基酸(AA),%
含量总氨基酸(Total AAs)氨基酸消化率(AA digestibility)
干物质(DM)90.00必需氨基酸(Essential AAs)表观回肠消化率(AID)标准回肠消化率(SID)
粗蛋白质(CP)7.90粗蛋白质(CP)7.907287
粗脂肪(EE)1.69赖氨酸(Lys)0.256984
酸水解粗脂肪(AEE)3.61蛋氨酸(Met)0.178593
粗灰分(Ash)1.22苏氨酸(Thr)0.274561
淀粉(Starch)60.02色氨酸(Trp)0.066669
粗纤维(CF)1.80异亮氨酸(Ile)0.326478
中性洗涤纤维(NDF)8.31亮氨酸(Leu)1.186871
酸性洗涤纤维(ADF)1.59缬氨酸(Val)0.345873
总膳食纤维(TDF)10.47精氨酸(Arg)0.377988
不溶性膳食纤维(IDF)9.73组氨酸(His)0.257081
可溶性膳食纤维(SDF)0.74苯丙氨酸(Phe)0.386675
非淀粉多糖(NSP)7.56非必需氨基酸(Nonessential AAs)
矿物质(Minerals)丙氨酸(Ala)0.515967
常量元素(Macro),%天冬氨酸(Asp)0.515955
钙(Ca)0.02半胱氨酸(Cys)0.217077
总磷(P)0.22谷氨酸(Glu)1.337072
植酸磷(Phytate P)0.13甘氨酸(Gly)0.333548
钾(K)0.36脯氨酸(Pro)0.897380
钠(Na)0.02丝氨酸(Ser)0.306377
氯(Cl)0.05酪氨酸(Tyr)0.357082
镁(Mg)0.11维生素(Vitamins),mg/kg总氨基酸预测模型,粗蛋白质为变量
硫(S)1.10$ \\beta $-胡萝卜素($ \\beta $-Carotene)1.52常数系数
磷全消化道表观消化率,%26维生素E(Vitamin E)18.67赖氨酸(Lys)-0.4520.081
磷全消化道标准消化率,%34硫胺素(Thiamin)0.61蛋氨酸(Met)0.0680.130
微量元素(Micro),mg/kg核黄素(Riboflavin)1.20苏氨酸(Thr)-0.0240.038
铁(Fe)32烟酸(Niacin)4.78色氨酸(Trp)-0.0740.015
铜(Cu)1.98泛酸(Pantothenic acid)4.18异亮氨酸(Ile)0.0940.200
锰(Mn)2.93呲哆醇(Pyridoxine)3.12亮氨酸(Leu)-0.5470.190
锌(Zn)17生物素(Biotin)0.00缬氨酸(Val)-0.0530.049
碘(I)0.18叶酸(Folic acid)0.11精氨酸(Arg)-0.6070.106
硒(Se)0.10维生素$ B_{12} $(Vitamin $ B_{12} $)0.00组氨酸(His)0.0050.029
胆碱(Choline),%0.62苯丙氨酸(Phe)0.1790.020
亚油酸(Linoleic acid),%2.20其他成分含量
有效能值(n=2)
生长阶段生长猪母猪生长猪有效能值预测模型$ R^{2} $
单位MJ/kgkcal/kgMJ/kgkcal/kg$ DE=18.409-0.6\\times CF $0.82
总能(GE)16.70399116.703991$ DE=18.913-0.173\\times NDF $0.87
消化能(DE)14.65350115.243641$ ME=17.894-0.585\\times CF $0.79
代谢能(ME)14.48346115.063599$ ME=18.15-0.15\\times NDF $0.82
净能(NE)11.73280412.202916
"} {"image_path": "images/29a26d6d53cb8b5be50d4fa9bf007716.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注期末数期初数
合并公司合并公司
资产:
现金及存放中央银行款项五、17,794,108,602.617,703,421,127.948,072,440,304.378,036,349,139.97
存放同业款项五、29,785,937,404.819,386,862,934.5112,538,100,647.4911,832,637,529.46
贵金属----
拆出资金五、3130,684,000.00130,684,000.00901,810,000.00901,810,000.00
以公允价值计量且其变动计入当期损益的金融资产五、43,734,037,159.003,734,037,159.003,025,165,356.003,025,165,356.00
衍生金融资产----
买入返售金融资产五、510,123,923,779.6410,123,923,779.6411,859,900,403.4311,859,900,403.43
应收利息五、61,292,332,489.921,289,105,096.71925,377,311.80917,524,888.65
发放贷款和垫款五、739,923,379,883.7638,827,881,431.0434,061,433,853.1633,538,773,062.48
可供出售金融资产五、845,110,802,130.5445,110,802,130.5436,427,290,338.8635,352,290,338.86
持有至到期投资五、97,319,065,250.987,319,065,250.984,846,088,404.484,846,088,404.48
应收款项类投资五、10800,000,000.00800,000,000.001,408,000,000.001,390,000,000.00
长期股权投资五、11300,177,281.12406,177,281.12-106,000,000.00
投资性房地产五、1272,278,194.7872,278,194.7883,801,259.5983,801,259.59
固定资产五、13108,827,037.42105,281,166.91108,706,121.84106,134,029.79
无形资产五、1428,893,225.8514,137,347.3324,132,292.1612,537,709.65
商誉--
递延所得税资产五、15617,502,953.17611,904,374.00391,472,329.24386,663,024.17
其他资产五、16350,290,061.50334,279,110.38123,810,455.05112,331,317.80
资产总计127,492,239,437.10125,969,840,384.88114,797,529,077.47112,508,006,464.33
"} {"image_path": "images/6aed11e46e88c0d263fdf4ae2a9f58d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级指标二级指标单位基准值判定依据
资源属性原材料要求主要原材料生产企业要求-应加强清洁生产提供证明材料
水性树脂苯、甲苯、乙苯和二甲苯的含量总和mg/kg≤100按GB/T 23990-2009检测,提供有资质的第三方检测报告
N-甲基吡咯烷酮(NMP)含量%≤0.1按GB/T 23990-2009检测,提供有资质的第三方检测报告
原材料消耗t/t产品≤1.015依据B.1计算原材料消耗
新鲜水消耗量t/t产品≤0.35依据B.2计算新鲜水消耗量
单位产品中钛白粉用量--提供证明材料
能源属性产品综合能耗tce/t产品≤0.17依据GB/T 2589计算产品综合能耗
环境属性是否安装合乎要求的颗粒物回收装置,并正常运转-现场检查
是否安装合乎要求的局部或整体密闭排气收集装置,收集后进入密闭式负压废气处理系统,并正常运转-现场检查
污染物排放-应符合国家或地方规定的污染物排放标准和执法要求提供证明材料
挥发性有机化合物(VOC)含量木器涂料g/L≤180依据B.3检测,提供有资质的第三方检测报告
地坪涂料g/L≤120
室内用常温自干型防腐涂料g/L≤120
其他工业涂料g/L≤200
腻子g/kg≤10
品质属性质量性能-应满足产品明示的标准中最高等级的技术要求提供有资质的第三方检测报告
总挥发性有机化合物释放量(限室内非工厂化涂装用涂料)$ mg/m^{3} $-提供有资质的第三方检测报告(试验周期为3天)
甲醛释放量(限室内非工厂化涂装用涂料)$ mg/m^{3} $-
甲醛含量(乙酰丙酮法)(限室内用常温自干型涂料)mg/kg≤100依据B.5检测,提供有资质的第三方检测报告
"} {"image_path": "images/3f1a200840fbc5a66005b5b90fcf09a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目单位标准要求(100kJ)标示值(100kJ)$ \\geq $标示值(80%)检验结果(100kJ)单项判定
43mg5—146117%7合格
44mg15-4318161%29合格
45μg8.5-29.09.7230%22.3合格
46mg1.2-3.61.3146%1.9合格
47mg0.1-0.360.12208%0.25合格
48mg0.12-0.360.18111%0.20合格
49μg3.5-14.03.9128%5.0合格
50mg12-3815140%21合格
51μg2.2-24.02.4254%6.1合格
52μg0.50-1.900.68137%0.93合格
53mg12-3517129%22合格
54mg6—2410140%14合格
序号检验项目单位标准要求检验结果单项判定
55乳双歧杆菌CFU/g$ \\geq 1.0\\times10^{6} $2.2$ \\times10^{6} $合格
56大肠菌群CFU/gn=5 c=2 m=10 M=100<10:<10:<10:<10:<10合格
57金黄色葡萄球菌CFU/gn=5 c=2 m=10 M=100<10:<10:<10:<10:<10合格
58阪崎肠杆菌CFU/g不得检出(n=3 c=0/100g)未检出合格
59沙门氏菌CFU/g不得检出(n=5 c=0 m=0/25g)未检出合格
60净含量单罐净含量(g)$ \\geq $800.0800.0合格
61营养标签产品名称、生产日期、保质期、储存方法、生产地址、QS证号、产品的类别及属性、配料表、营养成分、净含量、特别声明、食用方法及特别宣称合格
62结论:经检验所检项目符合Q/YLSR0004S、GB7718、GB13432,综合判定该批产品为合格品
63备注该产品添加乳双歧杆菌
"} {"image_path": "images/3b0c8641af5c64c42689969555b2fe1e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料牌号等级标准编号备注
无缝管件常温对焊无缝管件20、Q345、16MnGB/T 12459、GB/T 13401常温管路(>-20℃)
法兰低温S30408(06Cr19Ni10) Ⅲ、S31608(06Cr17Ni12Mo2) ⅢHG/T 20592、HG/T 20615、NB/T 47010低温管路(≤-20℃)
S30408(06Cr19Ni10) Ⅲ、S31608(06Cr17Ni12Mo2) ⅢGB/T 9124、NB/T 47010
常温20 Ⅱ、16Mn ⅡHG/T 20592、HG/T 20615、NB/T 47008常温管路(>-20℃)
20 Ⅱ、16Mn ⅡGB/T 9124、
NB/T 47008
20 Ⅱ、16Mn ⅡHG/T 20592、HG/T 20615、NB/T 47009
20 Ⅱ、16Mn ⅡGB/T 9124、NB/T 47009
垫片低温D2232型
06Cr19Ni10-聚四氟乙烯缠绕垫
缠绕式垫片(柔性石墨填充)
HG/T 20610、HG/T 20631
HG/T 20610、
HG/T 20631
304F4型、316F4型 覆盖聚四氟乙烯齿形组合垫片HG/T 20611、HG/T 20632
具有覆盖层的齿形组合垫片(柔性石墨覆盖)HG/T 20611、HG/T 20632
常温聚四氟乙烯包覆垫片HG/T 20607、HG/T 20628
金属包覆垫片HG/T 20609、HG/T 20630
缠绕式垫片HG/T 20610、HG/T 20631
具有覆盖层的齿形组合垫HG/T 20611、HG/T 20632
金属环形垫HG/T 20612、HG/T 20633
螺栓、螺柱、螺母低温A4-80 螺栓GB/T 3098.6专业级
A4-70 螺母GB/T 3098.15专业级
06Cr19Ni10 全螺纹螺柱HG/T 20613、HG/T 20634专业级
06Cr19Ni10 六角螺母HG/T 20613、HG/T 20634专业级
"} {"image_path": "images/a0f3f07d5d8f9ced5d007674be33fd2e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
收集时间制表人:
生产工艺和描述原料清单的数据消耗
$ 原料输入(消耗)^{①} $
原料类型单位功能单位输入量数据来源运输方式(公路、铁路、轮船等)运输距离(km)
原料(纤维板、原纸等)$ m^{3}/m^{3} $
废旧原料$ m^{3}/m^{3} $
胶粘剂$ t/m^{3} $
石蜡乳液防水剂$ kg/m^{3} $
防霉剂$ kg/m^{3} $
阻燃剂$ kg/m^{3} $
油漆$ kg/m^{3} $
其它地板覆面材料$ m^{3}/m^{3} $
$ 能源输入(消耗)^{2} $
能源类型单位功能单位输入量数据来源
电力$ kW·h/m^{3} $
$ t/m^{3} $
柴油$ t/m^{3} $
蒸汽$ t/m^{3} $
天然气$ t/m^{3} $
…………
$ 水资源输入^{3} $
水资源类型单位功能单位输入量数据来源
自来水$ t/m^{3} $
"} {"image_path": "images/f1cb170b2c4bf3212dedf79d279f2918.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称裂隙灯显微镜注册证或备案凭证编码国械注进20152220620
生产企业名称意大利 C.S.O
代理人名称深圳市科裕康医疗器械有限公司
召回单位负责人和联系方式,经办人和联系方式李洪波 18676699850
产品的适用范围该产品临床供医院眼科对患者的外眼部及眼前部进行检查用。
涉及地区和国家中国召回级别三级
涉及产品生产(或进口中国)批次、数量18040280,5涉及产品型号、规格SL 980N 3X
识别信息(如批号)18040279,18040281,18040282,18040283涉及产品在中国的销售数量4
召回原因简述被抽检的 SL 980N 裂隙灯显微镜(产品编号/批号:18040280)在广东省医疗器械抽检中经检验被发现存在标签不符合标准规定的问题:根据 GB 9706.1-2007 和 YZB/ITA 0303-2015,设备外部缺少相应危险的适当标记(检验报告编号:ZC-2019-0013)。
纠正行动简述(包括召回要求和处理方式等)1. 同厂家 CSO 沟通,告知他们这次发生的问题,要求厂家充分重视,进行整改学习,确保不再发生类似错误。
2. 制作新的符合要求的标签。
3. 填写标签不合格品处理审批表,通过公司 OA 流程进行审批,使相关环节对标签问题有深入的认识。
4. 抽检批次(18040280)共进 5 台,其中四台已经销往客户,一台被抽检。对四台已经销售到医院的设备安排专人去医院现场进行整改,更换新标签,整改过程前后拍照说明,并填写整改的详细情况。
5. 对其他批次进行自查,对于存在同样问题的设备进行整改。
6. 在公司网站上进行整改信息公示。
"} {"image_path": "images/b634d40da56ff53d4c011005a7dd7ae8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
捐赠者基本信息
捐赠者姓名捐赠者 ID
性别□男 □女出生日期
样本收集与处理信息
样本类型样本编号
采样日期样本采集人员
样本采集量
处理方法(温度、操作):
处理开始时间处理完成时间
样本信息
样本编码肿瘤类型(T或N)取材数量组织质量(A或B或C)
运输保存
保存条件保存温度
运输方式运输时间
备注

注1:捐赠者ID以肿瘤类别(两位数)+年份(四位数)+流水号(四位数)+组成样本编码。
注2:样本类型,根据NIH的病例检索标准进行填写。
注3:肿瘤类型,用T和N代表肿瘤及正常,T及N后面的数字表示取材份数。
注4:组织质量用A、B、C表示(A=无明显坏死、B=散在坏死、钙化,C=大量坏死)。
"} {"image_path": "images/1e991f4ee8af37986e4f63f963cfbb4c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\underline{附注五} $$ \\underline{2023年} $$ \\underline{2022年} $
营业总收入11,081,439,282.3712,485,576,441.96
其中:营业收入543,887,734,788.124,628,584,901.79
利息净收入552,226,986,888.252,439,241,340.65
手续费及佣金净收入564,966,717,606.005,417,750,199.52
营业总成本4,329,218,946.984,183,193,556.34
其中:营业成本54537,976,100.94534,296,018.16
税金及附加5794,816,672.29107,528,350.29
销售费用58468,066,060.96526,053,726.28
管理费用592,315,737,794.952,191,832,282.13
研发费用601,080,649,176.70935,742,208.54
财务费用61(162,026,858.86)(112,259,029.06)
其中:利息费用92,235,923.07140,415,728.12
利息收入262,259,751.81254,960,795.65
加:其他收益62375,302,175.97384,024,287.69
投资收益632,084,094,520.561,635,648,805.04
其中:对联营企业和合营企业的投资收益9,968,005.153,044,430.32
汇兑收益(5,061,226.18)(15,323,847.34)
公允价值变动收益64151,692,873.71(519,486,548.91)
信用减值损失65(11,327,695.07)24,101,579.32
资产处置收益66(1,464,428.44)(171,836.76)
营业利润9,345,456,555.949,811,175,324.66
加:营业外收入672,205,994.21492,180.70
减:营业外支出68$ \\underline{\\qquad 20,655,502.74} $$ \\underline{\\qquad 28,999,543.11} $
利润总额9,327,007,047.419,782,667,962.25
减:所得税费用69$ \\underline{\\qquad 1,133,537,769.42} $$ \\underline{\\qquad 1,273,206,728.92} $
净利润$ \\underline{\\qquad 8,193,469,277.99} $$ \\underline{\\qquad 8,509,461,233.33} $
按经营持续性分类
持续经营净利润8,193,469,277.998,509,461,233.33
按所有权归属分类
归属于母公司股东的净利润8,193,469,277.998,509,461,233.33
"} {"image_path": "images/b3768b64ad626ea3329e3c366aa4abea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检测项目检测方法备注
产品氧化铝质量损失GB/T 6609.2—2009
$ SiO_{2} $GB/T 6609.3—2004
$ Fe_{2}O_{3} $GB/T 6609.4—2004
$ Na_{2}O $GB/T 6609.5—2004
生料水分重量法
粒度筛分法宜用120目(等效粒径为$ 120\\mu m $)标准筛
固定碳YS/T 575.18—2007
$ SiO_{2} $YS/T 575.3—2007
$ Fe_{2}O_{3} $YS/T 575.5—2007
$ Al_{2}O_{3} $YS/T 575.1—2007
CaO与MgO合量GB/T 1574—2007
$ Na_{2}O $YS/T 575.9—2007
熟料容重筛分法宜用150目(等效粒径为$ 106\\mu m $)标准筛
$ SiO_{2} $YS/T 575.3—2007
$ Fe_{2}O_{3} $YS/T 575.5—2007
$ Al_{2}O_{3} $YS/T 575.1—2007
CaO与MgO合量GB/T 1574—2007
$ Na_{2}O $YS/T 575.9—2007
$ Na_{2}SO_{4} $GB/T 1574—2007
$ S^{2-} $MT/T 371—2005
硅钙渣
$ Al_{2}O_{3} $YS/T 575.1—2007
CaO与MgO合量GB/T 1574—2007
$ Na_{2}O $GB/T 1574—2007
硅酸钠溶液$ N_{K} $附录B
$ SiO_{2} $附录C
铝酸钠溶液$ N_{T} $、$ Al_{2}O_{3} $附录B
$ N_{K} $附录B
脱硅液浮游物重量法
$ SiO_{2} $附录C
$ N_{T} $、$ N_{K} $附录B
$ Al_{2}O_{3} $附录B
"} {"image_path": "images/82504c1fd6f84f7c574c0726cf7617ef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
动作配置链路层。
调用此过程后,节点应准备好开始通信
语法LS_T_RESULT ls_t_Configure
(
Type_Configuration ∗ p_configuration
);
输入p_configuration指向下列配置数据结构的指针
"} {"image_path": "images/87a5f6697971a917dea1045d6d0f832b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检测项目单位技术指标检测结果单项评定方法标准
1*感官色泽/白色或墨绿色或紫色白色符合Q/ZYMH 0001S-2019
组织形态具有产品应有的形状,无霉变、无虫蛀、无劣变具有产品应有的形状,无霉变、无虫蛀、无劣变符合
滋味气味具有产品应有的气味和滋味,无异味具有产品应有的气味和滋味,无异味符合
杂质无正常视力可见外来杂质无正常视力可见外来杂质符合
2水分g/100g≤9.06.65符合GB 5009.3-2016第一法
3总灰分(以干基计)g/100g≤6.05.9符合GB 5009.4-2016第一法
4铅(以Pb计)mg/kg≤2.00.308符合GB 5009.12-2017第二法
5总汞(以Hg计)mg/kg≤0.30.015符合GB 5009.17-2014第一法
6总砷(以As计)mg/kg≤1.0未检出(定量限:0.040)符合GB 5009.11-2014第二法
7六六六mg/kg≤0.2未检出(检出限:0.0002)符合GB/T 5009.19-2008
8滴滴涕mg/kg≤0.2未检出(检出限:0.0008)符合GB/T 5009.19-2008
9溴氰菊酯mg/kg≤10未检出(检出限:0.00088)符合GB/T 5009.110-2003
10氯氰菊酯mg/kg/未检出(检出限:0.005)/GB/T 5009.146-2008
11*总黄酮(以二氢杨梅素计)g/100g≥6.055.9符合T/ZMX004-2020
以下空白
"} {"image_path": "images/b5309cc40faa7cebd2d95d3c5caa7faf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产附注十四期末余额期初余额
流动资产:
货币资金221,824,584.55 #217,123,048.28
交易性金融资产
衍生金融资产
应收票据22,484,830.37 #32,834,128.60
应收账款注释1201,654,597.42 #197,695,462.28
应收款项融资35,255,789.09 #29,127,837.41
预付款项7,131,540.08 #8,482,886.22
其他应收款注释2184,656,773.55 #274,712,786.35
存货259,193,299.59 #299,158,160.64
合同资产41,047,829.73 #42,951,977.68
持有待售资产
一年内到期的非流动资产
其他流动资产148,811.12 #40,170,363.82
流动资产合计973,398,055.501,142,256,651.28
非流动资产:
债权投资
其他债权投资
长期应收款
长期股权投资注释3412,785,483.47140,701,285.60
其他权益工具投资
其他非流动金融资产
投资性房地产
固定资产207,297,902.16 #188,224,960.24
在建工程934,374.39 #17,890,995.18
生产性生物资产
油气资产
使用权资产497,107.97 #642,602.93
无形资产8,678,688.63 #9,891,134.37
开发支出
商誉
长期待摊费用1,370,567.48 #1,567,189.03
递延所得税资产8,931,626.55 #8,542,815.52
其他非流动资产181,628.16 #4,330,300.00
非流动资产合计640,677,378.81371,791,282.87
资产总计1,614,075,434.311,514,047,934.15
"} {"image_path": "images/4642ff2355d5bf8bada1158a2a79d142.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
会计年度20152016E2017E2018E
成长能力
营业收入-12.3%-7.1%7.7%13.7%
营业利润10.3%6.5%13.0%32.1%
归属于母公司净利润10.3%5.2%10.6%26.8%
获利能力
毛利率17.9%17.0%15.5%16.0%
净利率4.4%5.0%5.1%5.7%
ROE6.9%6.9%7.2%8.5%
ROIC6.6%7.5%6.8%8.6%
偿债能力
资产负债率61.7%55.5%54.2%54.4%
净负债比率56.78%30.90%26.25%24.61%
流动比率1.031.621.771.86
速动比率0.590.941.021.09
营运能力
总资产周转率0.510.480.540.59
应收账款周转率5566
应付账款周转率4.054.324.674.73
每股指标(元)
每股收益(最新摊薄)0.530.560.620.78
每股经营现金流(最新摊薄)1.514.121.101.08
每股净资产(最新摊薄)7.738.138.589.17
估值比率
P/E62.5759.4653.7742.40
P/B4.294.083.873.62
EV/EBITDA23252522
"} {"image_path": "images/80424d672c4b7f7147e2fd57003fa8b6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产行次期末余额年初余额负债及所有者权益行次期末余额年初余额
流动资产:流动负债:
货币资金11824883.334931189.39短期借款319603103.2012000000.00
短期投资2应付票据32
应收票据3应付帐款333107272.192551022.80
应收帐款49166003.058311400.42预收帐款34
预付帐款54455500.003769400.00应付职工薪酬35
应收股息6应交税费36-7013.09159982.86
应收利息7应付利息3713878.687295.41
其他应收款81260982.561348998.23应付利润38
存货92074667.794755817.14其他应付款39124409.87122543.34
其中:原材料10其他流动负债40
在产品11流动负债合计4112841650.8514840844.41
库存商品122074667.794755817.14非流动负债:42
周转材料13长期借款43
其他流动资产14长期应付款44
流动资产合计1518782036.7323116805.18递延收益45
非流动资产:其他非流动负债46
长期债权投资16负债合计4712841650.8514840844.41
长期股权投资17
固定资产原价186088741.766088741.76
减:累计折旧193582800.943438597.25
固定资产账面价值202505940.822650144.51
在建工程21
工程物资22
固定资产清理23
生产性生物资产24所有者权益(或股本)
无形资产25275308.59344548.33实收资本(或股本)482000000.002000000.00
开发支出26资本公积49
长期待摊费用27235155.60247324.86盈余公积50
其他非流动资产28未分配利润516956790.899517978.47
非流动资产合计293016405.013242017.70所有者权益合计528956790.8911517978.47
资产合计3021798441.7426358822.88负债及所有者权益总计5321798441.7426358822.88
"} {"image_path": "images/9d2b05cede966068ae4bdaeb8397befb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注期末余额上年年末余额
合并公司合并公司
流动资产:
货币资金五、1956,122,988.18907,924,694.151,291,466,596.961,148,570,592.05
交易性金融资产五、260,326,136.9860,326,136.98
应收票据
应收账款五、384,983,443.3382,340,514.5444,469,488.0038,134,062.30
应收款项融资五、43,153,262,578.633,094,396,292.992,062,531,717.382,010,421,212.58
预付款项五、511,062,253.5810,419,845.8732,665,833.6517,867,369.77
其他应收款五、685,504,096.13110,662,902.0616,264,833.9182,918,840.79
其中:应收利息
应收股利
存货五、7271,906,331.09256,710,775.77401,679,098.78384,690,103.78
合同资产
持有待售资产
一年内到期的非流动资产五、82,341,149.752,341,149.753,056,439.523,056,439.52
其他流动资产五、92,203,157.9418,335,559.759,471,942.30
流动资产合计4,567,385,998.634,464,796,179.093,930,795,704.933,755,456,700.07
非流动资产:
债权投资
其他债权投资
长期应收款五、1016,262,561.0616,262,561.0625,409,114.2825,409,114.28
长期股权投资五、11104,757,209.54486,157,672.0053,323,783.18433,076,115.63
其他权益工具投资五、123,402,639.633,402,639.633,402,639.633,402,639.63
其他非流动金融资产
投资性房地产
固定资产五、132,368,502,821.432,024,188,162.552,396,398,256.162,092,456,358.76
在建工程五、14253,268,532.8746,330,825.02151,106,587.2560,836,320.27
生产性生物资产
油气资产
使用权资产五、15202,293,096.50202,293,096.50101,696,659.00101,696,659.00
无形资产五、16104,773,196.2483,327,146.10114,176,431.5587,328,473.23
开发支出五、172,298,729.432,298,729.43
商誉
长期待摊费用五、18649,002.33865,336.34
递延所得税资产五、19115,378,608.28113,034,037.3486,851,460.43106,254,970.32
其他非流动资产五、20314,859,067.25290,053,635.3758,147,788.9652,989,288.96
非流动资产合计3,484,146,735.133,265,049,775.572,993,676,786.212,965,748,669.51
资产总计8,051,532,733.767,729,845,954.866,924,472,491.146,721,205,369.58
"} {"image_path": "images/30df3e9610a7314b11be23f84742b8f6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelMRSST-1SST-2SubjTRECCRMPQA
CNN-rand
CNN-static
CNN-non-static
CNN-multichannel
76.1
81.0
81.5
81.1
45.0
45.5
48.0
47.4
82.7
86.8
87.2
88.1
89.6
93.0
93.4
93.2
91.2
92.8
93.6
92.2
79.8
84.7
84.3
85.0
83.4
89.6
89.5
89.4
RAE (Socher et al., 2011)
MV-RNN (Socher et al., 2012)
RNTN (Socher et al., 2013)
DCNN (Kalchbrenner et al., 2014)
Paragraph-Vec (Le and Mikolov, 2014)
CCAE (Hermann and Blunsom, 2013)
Sent-Parser (Dong et al., 2014)
NBSVM (Wang and Manning, 2012)
MNB (Wang and Manning, 2012)
G-Dropout (Wang and Manning, 2013)
F-Dropout (Wang and Manning, 2013)
Tree-CRF (Nakagawa et al., 2010)
CRF-PR (Yang and Cardie, 2014)
$ SVM_{S} $ (Silva et al., 2011)
77.7
79.0
-
-
-
77.8
79.5
79.4
79.0
79.0
79.1
77.3
-
-
43.2
44.4
45.7
48.5
48.7
-
-
-
-
-
-
-
-
-
82.4
82.9
85.4
86.8
87.8
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
93.2
93.6
93.4
93.6
-
-
-
-
-
-
93.0
-
-
-
-
-
-
-
-
-
95.0
-
-
-
-
-
-
-
81.8
80.0
82.1
81.9
81.4
82.7
-
86.4
-
-
-
-
87.2
86.3
86.3
86.3
86.1
86.3
86.1
-
-
"} {"image_path": "images/736953ba66c00f2d0bcbd1cce3e2ee9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
附注2023年度2022年度
一、营业收入四(37)17,937,857,4238,368,966,339
减:营业成本四(37), (43)(15,518,700,426)(11,590,342,886)
税金及附加四(38)(28,356,911)(23,671,190)
销售费用四(39), (43)(237,236,689)(179,510,647)
管理费用四(40), (43)(231,470,753)(188,463,790)
研发费用四(41), (43)(144,176,949)(122,307,314)
财务费用四(42)(261,338,486)(622,202,845)
其中:利息费用(643,961,815)(663,166,321)
利息收入363,326,816171,605,008
加:其他收益四(48)1,139,620,112924,976,092
投资损失四(45)(1,221,015)(13,385,548)
其中:对联营企业的投资收益/(损失)314,853(145,691)
减:公允价值变动(损失)/收益四(44)(39,971,433)30,481,372
信用减值损失四(46)(1,563,149)(1,191,682)
加:资产处置收益四(47)2,830,189-
二、营业利润/(亏损)2,616,271,913(3,416,652,099)
加:营业外收入四(49)(a)28,310,79619,888,222
减:营业外支出四(49)(b)(2,576,354)(2,006,330)
三、利润/(亏损)总额2,642,006,355(3,398,770,207)
减:所得税费用四(50)(384,576,889)362,946,981
四、净利润/(亏损)2,257,429,466(3,035,823,226)
按经营持续性分类
- 持续经营净利润/(亏损)2,257,429,466(3,035,823,226)
- 终止经营净利润--
按所有权归属分类
- 归属于母公司股东的净利润/(亏损)2,257,429,466(3,035,823,226)
- 少数股东损益--
五、其他综合收益的税后净额四(34)(199,377,677)81,819,861
- 归属于母公司股东的其他综合收益的税后净额
不能重分类进损益的其他综合收益
其他权益工具投资公允价值变动(199,377,677)81,819,861
六、综合收益总额2,058,051,789(2,954,003,365)
- 归属于母公司股东的综合收益总额2,058,051,789(2,954,003,365)
- 归属于少数股东的综合收益总额--
七、每股收益
- 基本每股收益/(亏损) (人民币元/股)四(51)2.31(3.30)
- 稀释每股收益/(亏损) (人民币元/股)四(51)2.31(3.30)
"} {"image_path": "images/344ee4d037bcc42b4a4a42a495fb68c9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\t \t\t\t \t\t\t\t\t\t
活塞销直径 $ d_{43} $ 活塞销与衬套装配间隙 浮动式活塞销与销孔衬套装配间隙 浮动式活塞销与销孔过盈 固定式活塞销过盈
铜铅轴承合金 白合金 铸铁活塞 铝活塞
≤50 0.050~0.065 0.040~0.050 0~0.010 0.010~0.020 0~0.010
50~75 0.065~0.095 0.050~0.080 0.010~0.015 0.020~0.030 0.010~0.015
75~100 0.095~0.130 0.080~0.100 0.015~0.020 0.020~0.035
100~125 0.130~0.150 0.100~0.120 0.020~0.025
125~150 0.150~0.180 0.120~0.1500.120~0.150 0.025~0.0300.025~0.040 0.015~0.020
150~175 0.180~0.210 0.150~0.1800.150~0.170 0.030~0.035
175~200 0.210~0.2400.180~0.210 0.170~0.190 0.020~0.030
"} {"image_path": "images/56ee54cf369b6d112d22fd606d16d83c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fault NumberTime consumed (s)
PCs = 8 (60% variance)PCs = 15 (95% variance)PCs = 19 (99% variance)
PCAPCA + KFDAPCAPCA + KFDAPCAPCA + KFDAKFDA
15.214.15.423.75.536.256.3
24.713.94.821.24.832.151.7
35.013.45.122.15.034.453.6
46.016.86.327.16.145.264.3
55.514.75.724.65.536.859.5
65.114.15.223.95.135.157.4
75.114.95.324.25.235.858.9
85.816.26.126.56.043.961.5
"} {"image_path": "images/1ffbda9cab03405b31ac33bbe3535c0d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2022年度归属于母公司股东权益
股本其他权益工具资本公积其他综合收益盈余公积未分配利润股东权益合计
一、2022年1月1日余额10,366,327,855.001,956,432,160.4513,461,569,443.4286,456,564.84908,725,824.0817,260,724,718.7544,040,236,566.54
二、2022年增减变动金额2,847,834,689.00(1,956,432,160.45)12,613,047,933.37(8,540,868.95)301,578,886.607,326,938,177.1321,124,426,656.70
(一)综合收益总额---(8,540,868.95)-8,509,461,233.338,500,920,364.38
(二)股东投入和减少资本645,474,265.00(1,956,432,160.45)14,815,408,357.37---13,504,450,461.92
1. 可转换公司债券转股645,474,265.00(1,956,432,160.45)14,762,682,805.37---13,451,724,909.92
2. 股份支付计入股东权益的金额--52,725,552.00---52,725,552.00
(三)利润分配----301,578,886.60(1,182,523,056.20)(880,944,169.60)
1. 提取盈余公积----301,578,886.60(301,578,886.60)-
2. 对股东的分配-----(880,944,169.60)(880,944,169.60)
(四)股东权益内部结转2,202,360,424.00-(2,202,360,424.00)----
1. 资本公积转增股本2,202,360,424.00-(2,202,360,424.00)----
三、2022年12月31日余额13,214,162,544.00-26,074,617,376.7977,915,695.891,210,304,710.6824,587,662,895.8865,164,663,223.24
"} {"image_path": "images/4170cfc93d3014fe5ca568c1453f23e3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ItemPoint estimateProduct of coefficientsBC 95% CI
S.E.Est./S.E.P-ValueLowerUpper
Total0.9340.02144.162p < 0.0010.8990.976
Total direct0.3060.02114.737p < 0.0010.2650.306
Total indirect0.6280.02129.555p < 0.0010.5930.683
"} {"image_path": "images/a4d6b3d5ff7bfc6a5123d36478138fd8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注本期金额上期金额
合并公司合并公司
一、营业收入2,982,103,659.462,920,037,122.443,055,952,797.173,040,277,390.98
利息净收入五、333,042,716,979.702,982,931,388.552,669,531,549.022,653,877,610.69
利息收入五、336,378,339,735.146,288,383,386.585,054,602,220.885,023,303,928.65
利息支出五、333,335,622,755.443,305,451,998.032,385,070,671.862,369,426,317.96
手续费及佣金净收入五、3428,014,567.8328,030,621.9688,974,622.2888,953,154.42
手续费及佣金收入五、34118,073,311.01117,824,640.57159,300,903.20159,253,074.26
手续费及佣金支出五、3490,058,743.1889,794,018.6170,326,280.9270,299,919.84
投资收益/(损失)五、35-88,952,541.50-88,952,541.50409,733,742.73409,733,742.73
其中:对联营企业和合营企业的投资收益/(损失)----
公允价值变动收益/(损失)五、36-49,678,247.00-49,678,247.00-125,505,594.27-125,505,594.27
汇兑收益/(损失)五、37-325,599.03-325,599.034,843,136.044,843,136.04
其他业务收入五、389,486,499.469,486,499.468,300,023.228,300,023.22
资产处置收益五、39--75,318.1575,318.15
其他收益五、4040,842,000.0038,545,000.00--
二、营业支出1,595,725,118.411,537,789,932.701,670,505,080.151,630,560,268.18
税金及附加五、4135,307,642.5434,888,245.9871,672,823.7471,569,569.11
业务及管理费五、42979,813,122.59939,775,255.52966,618,990.71940,729,652.45
资产减值损失五、43577,727,660.29560,249,738.21629,952,219.08616,000,000.00
其他业务成本五、382,876,692.992,876,692.992,261,046.622,261,046.62
三、营业利润1,386,378,541.051,382,247,189.741,385,447,717.021,409,717,122.80
加:营业外收入五、446,545,677.786,533,163.7810,830,288.975,831,312.67
减:营业外支出五、452,033,430.322,030,946.786,484,913.056,484,317.56
四、利润总额1,390,890,788.511,386,749,406.741,389,793,092.941,409,064,117.91
减:所得税费用五、46383,993,510.98382,408,712.75371,750,637.92376,559,942.99
五、净利润1,006,897,277.531,004,340,693.991,018,042,455.021,032,504,174.92
(一)按经营持续性分类:
其中:持续经营净利润1,006,897,277.531,004,340,693.991,018,042,455.021,032,504,174.92
终止经营净利润----
(二)按所有权归属分类:
其中:归属于母公司股东的净利润1,005,922,016.291,004,340,693.991,024,645,311.521,032,504,174.92
少数股东损益975,261.24--6,602,856.50-228,491,185.98
六、其他综合收益的税后净额-371,677,138.60-371,677,138.60-228,491,185.98-228,491,185.98
归属于母公司股东的其他综合收益的税后净额-371,677,138.60-371,677,138.60-228,491,185.98-228,491,185.98
(一)以后不能重分类进损益的其他综合收益6,288,126.826,288,126.82-807,586.45-807,586.45
1、重新计量设定受益计划净负债或净资产的变动6,288,126.826,288,126.82-807,586.45-807,586.45
(二)以后将重分类进损益的其他综合收益-377,965,265.42-377,965,265.42-227,683,599.53-227,683,599.53
1、可供出售金融资产公允价值变动损益-377,965,265.45-377,965,265.45-227,683,599.38-227,683,599.38
2、外币财务报表折算差额0.030.03-0.15-0.15
归属于少数股东的其他综合收益的税后净额635,220,138.93632,663,555.39789,551,269.04804,012,988.94
七、综合收益总额634,244,877.69632,663,555.39796,154,125.54804,012,988.94
归属于母公司股东的综合收益总额634,244,877.69632,663,555.39796,154,125.54804,012,988.94
归属于少数股东的综合收益总额975,261.24--6,602,856.50-228,491,185.98
八、每股收益
(一)基本每股收益0.270.29-
(二)稀释每股收益---
"} {"image_path": "images/3d1df93771c4b2c03f65ff284cb073e2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
主要财务比率2022A2023A2024E2025E2026E
成长能力
营业收入(%)7.8-2.96.411.013.8
营业利润(%)16.70.812.516.820.0
归属于母公司净利润(%)13.1-4.014.219.618.8
获利能力
毛利率(%)63.562.264.065.567.2
净利率(%)16.917.118.919.820.7
ROE(%)13.112.612.913.113.6
ROIC(%)14.613.414.816.218.0
偿债能力
资产负债率(%)38.437.733.930.728.0
净负债比率(%)-40.5-41.1-46.2-52.5-54.7
流动比率2.42.42.72.93.1
速动比率2.12.12.32.52.7
营运能力
总资产周转率0.50.50.50.50.5
应收账款周转率5.85.75.75.75.7
应付账款周转率6.96.96.96.96.9
每股指标(元)
每股收益(最新摊薄)0.810.770.881.061.25
每股经营现金流(最新摊薄)2.132.111.552.312.15
每股净资产(最新摊薄)7.037.378.269.1910.34
估值比率
P/E14.114.712.910.89.1
P/B1.61.51.41.21.1
EV/EBITDA5.14.74.53.62.9
"} {"image_path": "images/2d0946ad610e979ae7499d01dd95c1cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份123456
男生人数211232
"} {"image_path": "images/f3632bd206893ba4e91ff2ab2e27345f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
纳税人识别号913304020716061148所属行业建筑、家具用金属配件制造
纳税人名称嘉兴友强金属制品有限公司法定代表人姓名苗圣威注册地址嘉兴市南湖区余新镇农庄村37组1号生产经营地址嘉兴市南湖区余新镇农庄村37组1号
开户银行及帐号浙江禾城农村商业银行股份有限公司余新支行201000108965527登记注册类型私营有限责任公司电话号码15957395960
"} {"image_path": "images/6d4d99c51f1f1109baff646cedd84afd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
货号品名及规格单位数量单价金额备注
合计:$ \\qquad $佰$ \\qquad $拾$ \\qquad $万$ \\qquad $仟$ \\qquad $佰$ \\qquad $拾$ \\qquad $元$ \\qquad $角$ \\qquad $分$ \\quad $¥___
"} {"image_path": "images/1679cb75d940cf34acdcfbceb8a480f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号简称项目名称结果单位参考范围序号简称项目名称结果单位参考范围
1CRP-HS超敏C反应蛋白<0.20mg/L0-1019RDW-CV红细胞分布宽度变异系数12.10%10.00-15.70
2WBC白细胞7.85$ 10^{9}/L $4.6-11.920PLT血小板289$ 10^{9}/L $177-446
3LY#淋巴细胞计数4.18$ 10^{9}/L $1.7-4.721PCT血小板压积0.30%0.17-0.37
4MO#单核细胞计数0.51$ 10^{9}/L $0.15-0.8622MPV平均血小板体积10.50fL8.4-12.7
5NE#中性粒细胞计数2.99$ 10^{9}/L $1.7-7.423PDW血小板分布宽度16.40%9.00-17.00
6EO#嗜酸性粒细胞计数0.16$ 10^{9}/L $0.04-0.74
7BA#嗜碱性粒细胞计数0.01$ 10^{9}/L $0.00-0.10
8LY%淋巴细胞百分比53.20%22-57
9MO%单核细胞百分比6.50%2-11
10NE%中性粒细胞百分比38.10%32-71
11EO%嗜酸性粒细胞百分比2.10%0.5-9
12BA%嗜碱性粒细胞百分比0.10%0-1
13RBC红细胞4.60$ 10^{12}/L $4.3-5.7
14HGB血红蛋白136g/L121-158
15HCT红细胞压积41.5%37-47
16MCV平均红细胞体积90.3fL77-92
17MCH平均血红蛋白含量29.6pg26-34
18MCHC平均血红蛋白浓度328g/L309-359
"} {"image_path": "images/feef2e9475145edf09b5f47bffdc2d07.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\underline{项目} $$ \\underline{附注五} $$ \\underline{本期金额} $$ \\underline{上期金额} $
一、营业收入注释32292,629,410.03495,588,958.91
减:营业成本注释32183,358,052.90319,983,317.55
税金及附加注释336,781,134.914,705,610.05
销售费用注释3430,633,512.9631,125,261.19
管理费用注释3540,927,648.5825,861,730.60
研发费用注释3617,778,332.7519,454,493.64
财务费用注释37-494,818.37-2,430,452.46
其中:利息费用2,971,363.882,590,434.64
利息收入3,936,416.014,408,429.67
加:其他收益注释383,639,801.97115,519.07
投资收益(损失以“-”号填列)注释39550,137.00946,301.35
其中:对联营企业和合营企业的投资收益以摊余成本计量的金融资产终止确认收益
净敞口套期收益(损失以“-”号填列)
公允价值变动收益(损失以“-”号填列)
信用减值损失(损失以“-”号填列)注释401,148,103.09-9,733,549.72
资产减值损失(损失以“-”号填列)注释41-1,003,712.65-2,128,748.83
资产处置收益(损失以“-”号填列)注释42 $ \\underline{213,467.38} $$ \\underline{74,511.94} $
二、营业利润(亏损以“-”号填列)$ \\underline{18,193,343.09} $$ \\underline{86,163,032.15} $
加:营业外收入注释43845,539.591,244,545.06
减:营业外支出注释44$ \\underline{628,180.42} $$ \\underline{45,111.72} $
三、利润总额(亏损总额以“-”号填列)$ \\underline{18,410,702.26} $$ \\underline{87,362,465.49} $
减:所得税费用注释45$ \\underline{677,564.29} $$ \\underline{11,366,353.08} $
四、净利润(净亏损以“-”号填列)$ \\underline{17,733,137.97} $$ \\underline{75,996,112.41} $
其中:同一控制下企业合并被合并方在合并前实现的净利润
(一)按经营持续性分类
持续经营净利润(净亏损以“-”号填列)17,733,137.9775,996,112.41
终止经营净利润(净亏损以“-”号填列)
(二)按所有权归属分类
归属于母公司所有者的净利润(净亏损以“-”号填列)18,012,884.1376,028,866.36
少数股东损益(净亏损以“-”号填列)-279,746.16-32,773.95
五、其他综合收益的税后净额______
归属于母公司所有者的其他综合收益的税后净额______
(一)不能重分类进损益的其他综合收益
1. 重新计量设定受益计划变动额
2. 权益法下不能转损益的其他综合收益
3. 其他权益工具投资公允价值变动
4. 企业自身信用风险公允价值变动
5. 其他------
(二)将重分类进损益的其他综合收益______
1.权益法下可转损益的其他综合收益
2.其他债权投资公允价值变动
3.金融资产重分类计入其他综合收益的金额
4.其他债权投资信用减值准备
5.现金流量套期储备
6.外币财务报表折算差额
7.一揽子处置子公司在丧失控制权之前产生的投资收益
8.其他资产转换为公允价值模式计量的投资性房地产
9.其他
归属于少数股东的其他综合收益的税后净额 ___ ___
六、综合收益总额 $ \\underline{17,733,137.97} $ $ \\underline{75,996,112.41} $
归属于母公司所有者的综合收益总额 18,012,884.13 76,028,866.36
归属于少数股东的综合收益总额 -279,746.16 -32,773.95
七、每股收益:
(一)基本每股收益 0.10 0.84
(二)稀释每股收益 0.10 0.84
"} {"image_path": "images/adb8c57f328eab72a51d76ee21a306a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
合并及公司现金流量表
2023年度
编制单位:山东海化股份有限公司单位:人民币元
项目附注本期金额上期金额
合并公司合并公司
一、经营活动产生的现金流量:
销售商品、提供劳务收到的现金5,249,185,112.124,794,225,961.824,913,583,635.284,333,070,748.16
收到的税费返还5,989,981.31
收到其他与经营活动有关的现金五、5752,982,546.2356,367,584.03115,564,542.6382,370,583.01
经营活动现金流入小计5,302,167,658.354,850,593,545.855,035,138,159.224,415,441,331.17
购买商品、接受劳务支付的现金4,030,441,230.503,599,590,045.462,328,550,649.462,099,125,449.65
支付给职工以及为职工支付的现金881,429,838.15789,649,665.87731,293,315.35648,403,244.43
支付的各项税费643,260,713.96633,901,498.10837,652,839.80817,645,811.26
支付其他与经营活动有关的现金五、5780,656,030.9671,083,783.1794,460,140.7265,976,034.69
经营活动现金流出小计5,635,787,813.575,094,224,992.603,991,956,945.333,631,150,540.03
经营活动产生的现金流量净额-333,620,155.22-243,631,446.751,043,181,213.89784,290,791.14
二、投资活动产生的现金流量:
收回投资收到的现金60,000,000.0066,298,129.5055,843,911.7573,859,200.00
取得投资收益收到的现金1,914,739.732,006,802.58730,354.971,698,862.43
处置固定资产、无形资产和其他长期资产收回的现金净额9,387,869.608,792,449.7716,759,352.0016,757,652.00
处置子公司及其他营业单位收到的现金净额5,314,477.7611,983,251.00
收到其他与投资活动有关的现金五、5781,596,524.0981,596,524.098,500,000.00
投资活动现金流入小计158,213,611.18158,693,905.9485,316,869.72100,815,714.43
购建固定资产、无形资产和其他长期资产支付的现金185,354,357.39120,133,207.91132,396,001.8895,629,076.00
投资支付的现金1,600,000.00111,750,000.00795,001,800.00
取得子公司及其他营业单位支付的现金净额655,001,800.00
支付其他与投资活动有关的现金五、57141,127,803.25141,127,803.25
投资活动现金流出小计326,482,160.64262,861,011.16899,147,801.88890,630,876.00
投资活动产生的现金流量净额-168,268,549.46-104,167,105.22-813,830,932.16-789,815,161.57
三、筹资活动产生的现金流量:
吸收投资收到的现金
其中:子公司吸收少数股东投资收到的现金
取得借款收到的现金189,120,000.00130,000,000.00220,000,000.00
发行债券收到的现金
收到其他与筹资活动有关的现金
筹资活动现金流入小计189,120,000.00130,000,000.00220,000,000.00
偿还债务支付的现金300,000,000.00
分配股利、利润或偿付利息支付的现金92,371,193.8792,234,137.04156,146,683.9544,754,596.30
其中:子公司支付少数股东的股利、利润
支付其他与筹资活动有关的现金五、579,595,748.329,595,748.324,774,304.294,774,304.29
筹资活动现金流出小计101,966,942.19101,829,885.36460,920,988.2449,528,900.59
筹资活动产生的现金流量净额87,153,057.8128,170,114.64-240,920,988.24-49,528,900.59
四、汇率变动对现金及现金等价物的影响
五、现金及现金等价物净增加额-414,735,646.87-319,628,437.33-11,570,706.51-55,053,271.02
加:期初现金及现金等价物余额1,286,259,918.541,148,535,245.781,297,830,625.051,203,588,516.80
六、期末现金及现金等价物余额871,524,271.67828,906,808.451,286,259,918.541,148,535,245.78
公司法定代表人:王治慧 主管会计工作的公司负责人:魏鲁东 会计机构负责人:张明
"} {"image_path": "images/9776d1ae2a8bf12455b3e333439d6b11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
上榜原因:当日跌幅偏离值达7%的证券
买方席位
序号营业部名称买入金额(万)占总成交额比例(%)卖出金额(万)占总成交比例(%)净额(万)
1万和证券股份有限公司成都通盈街证券营业部498.073.16505.293.21-7.22
2机构专用355.602.26322.412.0533.19
3光大证券股份有限公司宁波解放南路证券营业部258.971.64223.261.4235.71
4广发证券股份有限公司珠海凤凰北路证券营业部222.771.410.000.00222.77
5海通证券股份有限公司杭州市心北路证券营业部210.551.34104.560.66105.99
卖方席位
序号营业部名称买入金额(万)占总成交额比例(%)卖出金额(万)占总成交比例(%)净额(万)
1机构专用0.000.00974.126.18-974.12
2国金证券股份有限公司重庆江北嘴证券营业部4.840.03543.573.45-538.73
3万和证券股份有限公司成都通盈街证券营业部498.073.16505.293.21-7.22
4机构专用0.000.00433.792.75-433.79
5浙商证券股份有限公司杭州滨江威陵大厦证券营业部0.000.00391.742.49-391.74
(买方前五与卖方前五)总合计1550.809.843498.7322.21-1947.93
"} {"image_path": "images/48b60d82b4fc6a6cfe9ad9bd12d5ddf2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MSBLSB
I7I6I5I4I3I2I1I0
R/$ \\overline{\\rm W} $XA5A4A3A2A1A0
"} {"image_path": "images/f69e31f30b184c9687d44103eb82df16.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
利润表财务指标
(百万元)202020212022E2023E2024E(百万元)202020212022E2023E2024E
营业收入6,465.89,425.910,557.012,914.415,652.3成长性
减:营业成本5,239.17,757.18,688.410,612.212,866.2营业收入增长率39.6%45.8%12.0%22.3%21.2%
营业税费24.433.136.945.254.8营业利润增长率19.7%68.3%-1.5%20.3%24.9%
销售费用243.9322.8385.3464.9555.7净利润增长率2.1%76.7%1.5%23.3%21.7%
管理费用192.9332.6404.3464.9563.5EBITDA增长率34.9%59.3%-11.8%25.5%19.9%
研发费用58.870.7118.2142.1164.3EBIT增长率34.3%61.6%-12.2%27.0%20.8%
财务费用65.739.247.8122.8102.1NOPLAT增长率17.5%54.3%0.5%30.2%17.8%
资产减值损失-15.1-21.5-14.3-15.7-17.2投资资本增长率37.9%-12.8%11.9%17.3%21.6%
加:公允价值变动收益-109.7136.7---净资产增长率7.7%8.4%22.6%15.5%40.1%
投资和汇兑收益77.145.940.041.035.0
营业利润560.9944.1930.21,119.11,397.9利润率
加:营业外净收支3.810.34.57.68.8毛利率19.0%17.7%17.7%17.8%17.8%
利润总额564.7954.3934.71,126.71,406.7营业利润率8.7%10.0%8.8%8.7%8.9%
减:所得税121.3217.5205.6225.3309.5净利润率6.2%7.5%6.8%6.9%6.9%
净利润402.7711.6722.4890.41,083.9EBITDA/营业收入11.4%12.4%9.8%10.0%9.9%
EBIT/营业收入10.7%11.8%9.3%9.6%9.6%
资产负债表运营效率
202020212022E2023E2024E固定资产周转天数211816129
货币资金703.3604.12,111.42,582.92,817.4流动营业资本周转天数2614121926
交易性金融资产-----流动资产周转天数153126144158159
应收帐款1,066.71,307.41,507.81,720.82,801.0应收帐款周转天数5245484552
应收票据85.6163.172.2157.3147.1存货周转天数3127282930
预付帐款56.454.989.086.7116.8总资产周转天数252208221216203
存货779.0648.31,009.81,053.61,519.6投资资本周转天数9369615757
其他流动资产670.3448.3414.6511.1274.8
可供出售金融资产-----投资回报率
持有至到期投资-----ROE21.6%33.4%27.5%29.2%25.2%
长期股权投资60.736.936.936.936.9ROA8.4%13.1%9.9%11.0%11.6%
投资性房地产5.013.213.213.213.2ROIC34.9%39.1%45.0%52.4%52.6%
固定资产445.5502.8459.0415.2371.5费用率
在建工程24.429.029.029.029.0销售费用率3.8%3.4%3.7%3.6%3.6%
无形资产107.898.886.774.662.5管理费用率3.0%3.5%3.8%3.6%3.6%
其他非流动资产1,274.91,705.51,498.71,490.21,290.6研发费用率0.9%0.7%1.1%1.1%1.1%
资产总额5,279.65,612.27,328.38,171.59,480.2财务费用率1.0%0.4%0.5%1.0%0.7%
短期债务736.6809.51,460.22,054.81,482.0四费/营业收入8.7%8.1%9.1%9.3%8.9%
应付帐款1,554.81,651.22,027.41,942.52,822.0偿债能力
应付票据109.3124.523.3153.660.8资产负债率60.8%60.1%62.5%61.2%53.1%
其他流动负债516.5613.7581.4584.0584.1负债权益比155.2%150.4%166.7%157.4%113.2%
长期借款240.460.1422.8189.0-流动比率1.151.011.271.291.55
其他非流动负债53.4111.765.876.984.8速动比率0.890.811.031.071.24
负债总额3,210.93,370.64,586.84,997.25,033.8利息保障倍数10.5028.4120.4510.1114.69
少数股东权益208.0111.5118.1129.1142.4分红指标
股本774.8772.8772.8772.8772.8DPS(元)0.190.470.420.510.66
留存收益1,290.01,662.12,059.72,557.23,134.9分红比率36.4%51.0%45.0%44.1%46.7%
股东权益2,068.62,241.62,747.63,174.34,446.4股息收益率2.2%5.4%4.8%5.9%7.5%
"} {"image_path": "images/a373b95fe30ae5cb6d86335172ac5936.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
蒯剑021-63325888*8514
kuaijian@orientsec.com.cn
执业证书编号:S0860514050005
香港证监会牌照:BPT856
韩潇锐hanxiaorui@orientsec.com.cn
执业证书编号:S0860523080004
薛宏伟xuehongwei@orientsec.com.cn
执业证书编号:S0860524110001
"} {"image_path": "images/dde339ba85f388633f885d2f17753510.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Calculation of Annual Plant AvailabilityThe Plant Availability Factor (A_Plant) for a given Contract Year shall be calculated as the sum of the A_WTG for each of the Wind Turbines in the Plant divided by the total number of Wind Turbines in the Plant, in accordance with the following formula
The A_WTG will be calculafe for each WTG using the following formula:
A_plant=(1/N)∑ A_WTG,i (i=1 to N)
$ A_{WTG}=(Tperiod-TE-T downtime / Tperiod-TE)^\\ast100 $
Where
A_plantActual Plant Availability Factor over the Contract Year
A_WTGActual WTG Availability Factor over the Contract Year
T downtimeWTG downtime during the Contract Year including that related to unscheduled maintenance.
TEthe excluded events identified in paragraph below (not to be double counted if two or more events are concurrent)
TperiodThe total time duration of the Cotract Year
NNumber of WTGs in the Plant
Excluded Downtime (TE)Periods of downtime not caused by the faults with the Plant but caused instead by:
a Purchaser/ AMEA Risk Events, No Fault Purchaser Risk Events or limb (a) events under the definition of Force Majeure Event;
binspections carried out by the Purchaser/AMEA or their representatives that result in full or partial Plant downtime;
cclimatic conditions at the Site are outside the WTG operating conditions;
dany further exclusions agreed prior to the Commercial Operations Date based on a reasonable list to be proposed by the WTG Supplier for review and agreement with the AMEA
eScheduled Maitenance Hours (to be agreed between AMEA and OEM)
fA detailed report identifying the above TE event and its duration will be provided with each availability calculation provided to AMEA
"} {"image_path": "images/363f2f6de2a46c5aaf54030071c81009.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Application Fee (Non-refundable)
Payable upon submission of the Application Form.
RM 1,000
Registration Fee (Non-refundable)
Payable 'once-only' upon receipt of the Letter of Offer.
Registration fee is waived for past students who re-enrol within 3 years of last withdrawal date.
Early Years
Upon entering Year 1, an additional Registration Fee of RM 10,000 is applicable.
RM 10,000
Years 1-13RM 20,000
Deposit
An equivalent of one term's tuition fee is required as deposit. The amount is to be topped up as tuition fees increases according to year level. It is refundable provided one term's written notice of withdrawal is given. The said notice must be received and acknowledged by the School on or prior to the commencement of the term the student will be withdrawn.
See Tuition Fees
"} {"image_path": "images/39e20a5d7f9e4a0b8ac52ca5aad72b09.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OptionEngines
Space/Ascent
PropellantTanksIMLEO
NEP10011.6190.77.6609.9
NSWR337.641.81.7384.0
NTR220.0465.046.5833.6
GCR10010.9155.015.5581.5
CRYO1022.61060.0106.02207.0
"} {"image_path": "images/b14216c600f941006c8e8e90f98ba6d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
於12月31日
2023年2022年
人民幣千元人民幣千元
30天內120,942149,959
31至60天4,6453,529
61至90天1,9241,932
91至180天2,1442,962
181至270天4371,263
271至360天671,216
超過360天1121,957
130,271162,818
"} {"image_path": "images/80b3b834cde4549f9cc1705cc3e59af0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注2022年度2021年度
合并公司合并公司
一、经营活动产生的现金流量:
销售商品、提供劳务收到的现金2,339,019,080.631,722,613,548.342,714,093,873.691,726,576,744.33
收到的税费返还
收到其他与经营活动有关的现金五、5119,155,338.8511,341,295.8731,811,112.1915,788,411.29
经营活动现金流入小计2,358,174,419.481,733,954,844.212,754,905,985.881,742,365,155.62
购买商品、接受劳务支付的现金1,757,263,983.571,338,735,903.871,874,677,524.421,248,498,804.26
支付给职工以及为职工支付的现金451,879,092.55287,021,219.27500,152,238.85318,969,803.66
支付的各项税费58,569,467.8637,534,829.8982,513,360.3746,574,589.28
支付其他与经营活动有关的现金五、5151,479,171.2625,322,023.9389,906,868.5045,511,329.07
经营活动现金流出小计2,319,192,261.241,688,613,976.962,547,249,992.141,659,554,526.27
经营活动产生的现金流量净额38,982,158.2445,340,867.25198,654,993.7482,810,629.35
二、投资活动产生的现金流量:
收回投资收到的现金992,973,726.00944,240,170.00807,483,502.67744,971,173.90
取得投资收益收到的现金8,204,401.7537,738,544.2156,219,862.4393,487,910.22
处置固定资产、无形资产和其他长期资产收回的现金净额132,280.5573,840.43382,271.63379,136.63
处置子公司及其他营业单位收到的现金净额
收到其他与投资活动有关的现金
投资活动现金流入小计1,001,310,408.03982,052,554.64864,085,636.73838,838,220.75
购建固定资产、无形资产和其他长期资产支付的现金15,905,103.847,689,400.0571,902,099.3466,650,762.91
投资支付的现金1,034,987,055.56999,087,055.56817,615,191.44743,552,697.52
取得子公司及其他营业单位支付的现金净额-
支付其他与投资活动有关的现金五、51--15,000,000.00
投资活动现金流出小计1,050,892,159.401,006,776,455.61904,517,290.78810,203,460.43
投资活动产生的现金流量净额-49,581,751.10-24,723,900.97-40,431,654.0528,634,760.32
三、筹资活动产生的现金流量:
吸收投资收到的现金
其中:子公司吸收少数股东投资收到的现金
取得借款收到的现金39,200,000.00-49,000,000.00
收到其他与筹资活动有关的现金五、5130,000,000.0010,000,000.00
筹资活动现金流入小计39,200,000.0030,000,000.0059,000,000.00-
偿还债务支付的现金49,000,000.0079,000,000.0030,000,000.00,
分配股利、利润或偿付利息支付的现金37,180,493.8030,023,197.6231,148,980.5122,922,166.13
其中:子公司支付给少数股东的股利、利润5,000,000.006,280,000.00
支付其他与筹资活动有关的现金五、511,118,946.50574,144.0047,438,689.87525,773.36
筹资活动现金流出小计87.299.440.3030,597,341.62157,587,670.3853,447,939.49
筹资活动产生的现金流量净额-48,099,440.30-597,341.62-98,587,670.38-53,447,939.49
四、汇率变动对现金及现金等价物的影响
五、现金及现金等价物净增加额-58,699,033.1620,019,624.6659,635,669.3157,997,450.18
加:期初现金及现金等价物余额350,489,817.97141,238,594.40290,854,148.6683,241,144.22
六、期末现金及现金等价物余额291.790.78481161,258.219.06350.489,817.97141,238,594.40
"} {"image_path": "images/1227ff9080f19ab8ab0df520e3515ffb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A appreciatedF admirationK adhered
B contextG magnifyingL considered
C reactionH complexionM gorgeous
D commentI accessoriesN absurd
E perfectionJ achievingO handsome
"} {"image_path": "images/6da2a6f5e5e02743df7e7f1c7eae8b0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注2023年度2022年度
一、营业总收入10,058,497,338.928,694,001,504.35
其中:营业收入七、6110,058,497,338.928,694,001,504.35
二、营业总成本6,810,130,558.455,779,883,434.57
其中:营业成本七、615,355,269,638.074,725,854,201.91
利息支出
税金及附加七、6280,633,657.2771,962,139.09
销售费用七、63782,777,271.63483,358,529.65
管理费用七、64367,049,596.55331,048,490.74
研发费用七、65232,354,284.97230,034,488.96
财务费用七、66-7,953,890.04-62,374,415.78
其中:利息费用37,307,005.1538,007,297.70
利息收入44,620,346.0896,409,693.96
加:其他收益七、6721,517,678.7210,883,052.50
投资收益(损失以“-”号填列)七、68126,188,025.1075,209,537.19
其中:对联营企业和合营企业的投资收益-38,266,335.54-10,005,801.92
以摊余成本计量的金融资产终止确认收益
汇兑收益(损失以“-”号填列)
净敞口套期收益(损失以“-”号填列)
公允价值变动收益(损失以“-”号填列)七、708,322,485.00-20,046.95
信用减值损失(损失以“-”号填列)七、71-4,289,565.96-26,557,407.36
资产减值损失(损失以“-”号填列)七、72-7,932,743.40-9,401,752.73
资产处置收益(损失以“-”号填列)七、731,501,498.5911,482,197.72
三、营业利润(亏损以“-”号填列)3,393,674,158.522,975,713,650.15
加:营业外收入七、743,824,791.334,669,529.14
减:营业外支出七、7528,586,442.832,647,696.02
四、利润总额(亏损总额以“-”号填列)3,368,912,507.022,977,735,483.27
减:所得税费用七、76517,773,497.00454,758,372.68
五、净利润(净亏损以“-”号填列)2,851,139,010.022,522,977,110.59
(一)按经营持续性分类
1.持续经营净利润(净亏损以“-”号填列)2,851,139,010.022,522,977,110.59
2.终止经营净利润(净亏损以“-”号填列)
"} {"image_path": "images/b583269a78a4fe3093238a0abec70a22.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
For the Year Ended December 31,For the Six Months Ended June 30,
20172018201920192020
RMBRMBRMBUSSRMBRMBUSS
(in millions)
Technology platform-based income:
Retail credit facilitation service fees15,33629,57639,3255,56619,01520,7542,938
Wealth management transaction and service fees1,8852,6452,6043691,49269999
Total technology platform-based income17,22132,22141,9295,93520,50721,4533,036
Net interest income7,2565,8943,9095532,1722,998424
Guarantee income1,4568144656631417024
Other income81050887912432965693
Investment income1,0601,0175798210044763
Share of net profits of investments accounted for using the equity method1646731025(41)(6)
Total income27,81940,50047,8346,77023,44625,6843,635
Sales and marketing expenses(7,451)(10,767)(14,931)(2,113)(7,108)(8,620)(1,220)
General and administrative expenses(2,823)(2,796)(2,853)(404)(1,519)(1,348)(191)
Operation and servicing expenses(3,072)(4,367)(5,471)(774)(2,497)(2,819)(399)
Technology and analytics expenses(1,302)(1,659)(1,952)(276)(864)(849)(120)
Credit impairment losses(935)(1,863)(264)(470)(1,099)(156)
Asset impairment losses(3,736)(7)(135)(19)0
Finance costs(1,297)(900)(1,520)(215)(830)(887)(126)
Other gains/(losses) – net225(420)32546190466
Total expenses(19,455)(21,850)(28,400)(4,020)(13,099)(15,576)(2,205)
Profit before income tax8,36418,64919,4342,75110,34710,1081,431
Less: Income tax expenses(2,337)(5,073)(6,117)(866)(2,869)(2,836)(401)
Net profit6,02713,57613,3171,8857,4787,2721,029
"} {"image_path": "images/b7b1e7d7d40c55c1bbaaa5ac7866852a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
附注七本集团本行
2022年
12月31日
2021年
12月31日
2022年
12月31日
2021年
12月31日
资产
现金及存放中央银行款项12,549,1302,321,4062,548,5642,320,907
存放同业及其他金融机构款项2630,885218,500609,195198,745
贵金属83,38996,50483,38996,504
拆出资金3500,330446,944583,079531,065
衍生金融资产430,71521,97830,71521,978
买入返售金融资产51,172,187837,6371,169,113832,216
发放贷款和垫款618,982,88616,454,50318,899,85616,377,896
金融投资7
以公允价值计量且其变动计入
当期损益的金融资产
522,057460,241347,744320,106
以摊余成本计量的债权投资7,306,0006,372,5227,267,5676,337,768
以公允价值计量且其变动计入
其他综合收益的其他债权和
其他权益工具投资
1,702,1061,397,2801,650,8071,337,218
长期股权投资88,0928,29753,62652,596
固定资产9142,542143,817131,146131,420
在建工程1010,0309,48210,0139,255
无形资产1127,86726,57226,49025,170
商誉1,3811,381
递延所得税资产12149,698143,027148,699142,180
其他资产13108,238109,064105,044102,025
资产总计33,927,53329,069,15533,665,04728,837,049
负债
向中央银行借款15901,116747,213901,077747,101
同业及其他金融机构存放款项162,459,1781,622,3662,475,0461,636,419
拆入资金17333,755291,105263,009233,468
以公允价值计量且其变动计入
当期损益的金融负债
1812,28715,86012,03915,646
衍生金融负债431,00419,33731,00419,337
卖出回购金融资产款1943,77936,03335,48430,456
吸收存款2025,121,04021,907,12725,120,34721,906,047
应付职工薪酬2171,46959,73670,55158,932
应交税费2256,13472,21055,68571,604
应付股利321,9361,936
预计负债2340,78833,80940,77533,809
已发行债务证券241,869,3981,507,6571,828,3051,461,094
递延所得税负债129655
其他负债25311,189334,688183,083224,613
负债合计31,253,08226,647,79631,018,34126,438,526
"} {"image_path": "images/a68af16bcdd105e13c4d84afe3f99f2d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "0 42 3.94
项目名称单价数量总额
煎药机煎药2.50717.50
麸煨肉豆寇0.10128
6 70 7.09
麸炒白术0.3012637.80
炒白芍0.1562712619.69
0 126 19.69
金樱子肉0.081058.40
麸炒薏苡仁0.03252
4 210 6.83
川芎0.06628
6 70 4.64
莲子0.17385
7 70 12.17
麸炒枳壳0.05757
1 70 4.03
麸炒枳实0.05628
6 105 5.91
木香0.06704.20
砂仁0.317021.70
人参片0.99385
7 70 69.57
甘草片0.09381
0 42 3.94
茯苓0.05504
8 105 5.78
麸炒山药0.097514013.65
醋五味子0.12261
9 42 5.15
陈皮0.03128
6 70 2.19
合计250.24元
"} {"image_path": "images/0d6b298430d233eae2b7d35a6b484616.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
职位任命罢免
各级人大常委会组成人员本级人大选举本极人大
国家元首全国人大选举全国人大
国务院总理国家主席提名,全人大决定全人大
副总理,国务委员 部门首长总理提名全国人大或常委会决定。
中央军委中央军委主席全人大选举全人大
中央军委副主席,军委委员军委主席提名,全国人大或其常委会决定。
法院各级法院院长各级人大选举各级人大罢免
法院其他官员人大常委会任命人大常委会罢免
检察院各级检察长各级人大选举,地方须由上一级检察长报上一级人大常委会批准。各级人大罢免,地方需要上一级检察长报上一级人大常委会批准。
检察院其他官员人大常委会任命。人大常委会罢免
监察委主任本级人大选本级人大
副主任和委员主任提请同级人常任命本级人大常委会
"} {"image_path": "images/10a4687f119f86fa37531175b37574b5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
支出汇总
查询日期支出金额合计支出金额明细分配
9月18日6,525.00管理费用0.00农行0.00
应付账款0.00中行6,525.00
应付工资6,525.00现金0.00
支出明细
月份明细日期内容摘要科目分类支出金额付款方式经手人
9月9月15日XX报销差旅费管理费用526.00农行XXX
9月9月17日支付供应商货款应付账款5,000.00中行XXX
9月9月18日支付员工工资应付工资6,525.00中行XXX
10月
10月
10月
10月
合计0.0012,051.000.00
"} {"image_path": "images/8a3d81708fa6a2c2f24d92091ab9a730.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
20122013201420152016201720182019202020212022
标普500指数13.4129.611.39-0.739.5419.42-6.2428.8816.2626.89-19.44
1.2791.6581.8461.8332.012.3982.2482.8973.368
1.2961.4441.4331.571.8751.7582.2652.6343.3422.6922
spy(富途复权13.4729.6912.971.2411.421.71-4.5731.2318.3327.73-18.4
不复权13.4729.6911.29-0.819.6419.39-6.3528.7916.1627.04-19.48
1.2971.4651.4831.652.0111.9192.5192.983.8073.1065
voo11.5329.7413.041.3312.221.78-4.531.3718.3328.8-18.17
1.2971.4651.4851.672.0281.9372.5433.0143.8823.1763
IVV11.6329.713.071.2912.221.76-4.4931.2518.428.76-18.16
1.2971.4671.4851.672.0281.9372.5433.0113.8763.1725
IVW(成长)10.6230.6314.365.396.8527.35-0.2130.8933.2831.8-29.51
1.3061.4941.5741.682.1422.1382.7983.7294.9153.4649
IWE(价值)12.6228.7211.56-3.317.315.25-9.2231.621.2224.73-5.41
1.2871.4361.3891.631.8771.7042.2432.272.8322.6786
5135006.9517.613.02-1.1831.649.5324.32-11.94
1.131.1171.471.612.0021.763
1611256.950.1329.777.0423.24-10.95
1.071.0711.391.4881.8331.6325
2700426.6516.612.16-1.2129.99.2122.89-11.85
"} {"image_path": "images/3f126abbbdaad23806bfa6ce777107ce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产行次期末余额年初余额负债及所有者权益行次期末余额年初余额
流动资产:流动负债:
货币资金11,004,736.831,128,250.73短期借款31-
短期投资2--应付票据32-
应收票据3--应付账款331,894,760.98878,757.60
应收账款47,791,498.077,152,707.79预收账款34576,764.9570,643.22
预付款项57,039,263.736,272,038.48应付职工薪酬3552,777.6624,197.32
应收股利6--应交税费36153,727.87137,482.93
应收利息7--应付利息37--
其他应收款8418,583.13367,989.37应付利润38--
存货94,892,632.735,012,020.79其他应付款397,776.517,417.40
其中:原材料10--其他流动负债40--
在产品11--流动负债合计412,685,807.961,118,498.47
库存商品124,892,632.735,012,020.79非流动负债:
周转材料13--长期借款42--
其他流动资产14--长期应付款43--
流动资产合计1521,146,714.4819,933,007.17递延收益44--
非流动资产:其他非流动负债45--
长期债券投资16-非流动负债合计46--
长期股权投资174,000,000.004,000,000.00负债合计472,685,807.961,118,498.47
固定资产原价184,665,074.202,265,074.20
减:累计折旧19688,517.31377,512.37
固定资产账面价值203,976,556.891,887,561.83
在建工程21
工程物资22
固定资产清理23
生产性生物资产24所有者权益(或股东权益):
无形资产25实收资本(或股本)4820,000,000.0020,000,000.00
开发支出26资本公积49--
长期待摊费用27盈余公积50--
其他非流动资产28未分配利润516,437,463.404,702,070.53
非流动资产合计297,976,556.895,887,561.83所有者权益(或股东权益)合计5226,437,463.4024,702,070.53
资产总计3029,123,271.3725,820,569.00负债和所有者权益(或股东权益)总计5329,123,271.3725,820,569.00
"} {"image_path": "images/54cdf064b6d9aafe7921d62af57fcdd5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验项目本次结果2023-04参考值单位异常标志
WBC $ \\ast $白细胞计数5.166.723.50-9.5010^9/L
NEUT% 中性粒细胞百分比54.064.340.0-75.0%
LY% 淋巴粒细胞百分比35.326.920.0-50.0%
MO% 单核细胞百分比7.66.63.0-10.0%
EO% 嗜酸性粒细胞百分比1.91.50.4-8.0%
BA% 嗜碱性粒细胞百分比1.20.70.0-1.0%
NEUT# 中性粒细胞计数2.794.321.8-6.310^9/L
LY# 淋巴细胞计数1.821.811.10-3.2010^9/L
EO# 嗜酸性粒细胞计数0.100.100.02-0.5210^9/L
MO# 单核细胞计数0.390.440.10-0.6010^9/L
BA# 嗜碱性细胞计数0.060.050.00-0.0610^9/L
RBC $ \\ast $红细胞计数4.894.953.80-5.1010^12/L
HGB $ \\ast $血红蛋白140145115-150g/L
HCT $ \\ast $血细胞比容44.443.735.0-45.0%
MCV $ \\ast $平均红细胞体积90.888.282.0-100.0fL
MCH $ \\ast $平均血红蛋白含量28.629.327.0-34.0pg
MCHC $ \\ast $平均血红蛋白浓度315332316-354g/L
RDW-SD 红细胞分布宽度-SD42.141.135.0-56.0fL
RDW-CV 红细胞分布宽度-CV12.713.211.0-16.0%
PLT $ \\ast $血小板计数252258125-35010^9/L
PDW 血小板分布宽度13.016.410.8-18.0%
MPV 平均血小板体积11.110.39.4-12.5fL
PCT 血小板压积0.2800.2670.108-0.272%
P-LCR 大血小板比率33.429.710.0-30.0%
NRBC% 有核红细胞百分比0.00.00.0-0.0/100WBC
NRBC# 有核红细胞计数0.000.000.00-0.0010^9/L
"} {"image_path": "images/7cb7771993a284ab5f9fe7f6450a34e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
净利润增速EPS(元)BVPS(元)市盈率 PE市净率 PB评级目标价涨幅空间收盘价
15年E16年E15年16年15年16年15年16年15年16年(元)(元)
兴业银行10.6%14.9%2.743.1415.7218.235.724.981.000.86增持29.9591%15.66
民生银行3.5%9.8%1.261.397.738.977.266.621.191.02增持15.6470%9.18
平安银行17.4%19.2%1.621.9411.3613.137.746.491.110.96增持23.6888%12.57
浦发银行7.98%10.84%2.723.0216.6718.875.655.100.920.82增持28.6086%15.39
招商银行4.1%11.7%2.312.5814.1015.997.766.941.271.12增持28.2258%17.90
中信银行0.7%5.4%0.880.926.437.098.708.251.191.07增持11.5752%7.62
光大银行5.0%11.2%0.650.724.304.836.976.271.050.94增持7.7471%4.53
股份制6.3%11.2%6.996.301.090.96
农业银行2.2%4.3%0.560.593.684.086.095.840.940.84谨慎增持5.6965%3.44
中国银行1.50%4.83%0.580.614.414.837.497.150.990.91增持7.0661%4.38
建设银行2.2%5.0%0.930.985.596.266.456.151.080.96增持9.5058%6.01
国有行1.9%4.5%6.746.460.990.90
北京银行8.2%9.0%1.331.458.649.876.666.111.030.90增持20.74133%8.89
南京银行22.9%19.8%2.052.4513.9615.458.507.091.251.13增持25.7548%17.40
宁波银行8.4%11.3%1.561.7410.8112.168.537.661.231.10增持27.32105%13.34
城商行11.3%12.0%7.906.961.171.04
"} {"image_path": "images/252adeac92b97f7f86033a608068b03e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号ABCD题号ABCD题号×题号×
161116
271217
381318
491419
5101520
"} {"image_path": "images/f8dc7ae1e8fac96f028e5ea453014734.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2024年最新房贷利率3.45%
10年贷款利息,记得收藏!
等额本息等额本金
贷款10万月供986元利息1.84万月供1120元利息1.74万
贷款20万月供1973元利息3.68万月供2241元利息3.48万
贷款30万月供2959元利息5.51万月供3362元利息5.22万
贷款40万月供3946元利息7.35万月供4483元利息6.96万
贷款50万月供4932元利息9.19万月供5604元利息8.7万
贷款60万月供5919元利息11.03万月供6725元利息10.44万
贷款70万月供6905元利息12.87万月供7845元利息12.18万
贷款80万月供7892元利息14.71万月供8966元利息13.92万
贷款90万月供8878元利息16.54万月供10087元利息15.65万
贷款100万月供9865元利息18.38万月供11208元利息17.39万
贷款110万月供10851元利息20.22万月供12329元利息19.13万
贷款120万月供11838元利息22.06万月供13450元利息20.87万
贷款130万月供12824元利息23.9万月供14570元利息22.61万
贷款140万月供13811元利息25.74万月供15691元利息24.35万
贷款150万月供14797元利息27.57万月供16812元利息26.09万
贷款160万月供15784元利息29.41万月供17933元利息27.83万
贷款170万月供16770元利息31.25万月供19054元利息29.57万
贷款180万月供17757元利息33.09万月供20175元利息31.31万
贷款190万月供18743元利息34.93万月供21295元利息33.05万
贷款200万月供19730元利息36.76万月供22416元利息34.79万
"} {"image_path": "images/6893f3c85bdf6ea9188532d34eb15ffd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
供货日期供应商编码供应商名称供货单号供货金额收款金额备注
2021/9/11010101供1D101015,000.001,000.00
2021/9/21010102供2D101023,500.001,000.00
2021/9/31010103供3D101034,500.001,000.00
2021/9/41010104供4D101045,500.001,000.00
2021/9/51010105供5D101053,500.001,000.00
2021/9/61010106供6D101062,500.001,000.00
2021/9/71010107供7D101074,500.001,000.00
2021/9/81010108供8D101085,000.001,000.00
2021/9/91010109供9D101095,000.001,000.00
2021/9/101010110供10D101103,500.001,000.00
2021/9/111010101供1D101114,500.001,000.00
2021/9/121010102供2D101125,500.001,000.00
2021/9/131010103供3D101133,500.001,000.00
2021/9/141010104供4D101142,500.001,000.00
2021/9/151010105供5D101154,500.001,000.00
2021/9/161010106供6D101165,000.001,000.00
2021/9/171010107供7D101174,500.001,000.00
"} {"image_path": "images/4a5b318e54cad7dfb28a63a5578a275b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PREFERRED CONTROLLER CHOICESTEP 1
(Insufficient evidence for daily controller)
STEP 2
Daily low dose inhaled corticosteroid (ICS) (see Box 11-3 for ICS dose ranges for pre-school children)
STEP 3
Double 'low dose' ICS (See Box 11-3)
STEP 4
Continue controller & refer for specialist assessment
Other controller options (limited indications, or less evidence for efficacy or safety)Consider intermittent short course ICS at onset of viral illnessDaily leukotriene receptor antagonist (LTRA$ ^{\\dagger} $), or intermittent short course of ICS at onset of respiratory illnessConsider specialist referral
RELIEVERAs-needed short-acting beta2-agonist
CONSIDER THIS STEP FOR CHILDREN WITH:Infrequent acute (e.g viral-induced) wheezing episodes and no or minimal interval asthma symptomsAsthma symptoms not well-controlled (Box 11-1), or one or more severe exacerbations in the past yearAsthma not well controlled on low dose ICSAsthma not well controlled on double ICS
Before stepping up, check for alternative diagnosis and inhaler skills, review adherence and exposures
"} {"image_path": "images/617afbce1fa28b0c2ee94d38341363d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ADRLR0,ThumbFun;将ARM程序的入口地址存入R0
BXR0;跳转到R0指定的地址,
;并根据R0的最低位来切换处理器状态
"} {"image_path": "images/2dad2aa23f5f1e170fc59e1738c334f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
股票名称股票代码目标价(当地币种)投资评级
阿特斯688472 CH18.08买入
"} {"image_path": "images/073fcd3d796b06792fe9ad3619eb80d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0032室内消火栓825.00825.00
0036温控箱582.52582.52
0046消火栓测压接头390.00390.00
"} {"image_path": "images/28a3d524a8f967f7907b730c79aac541.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目栏次一般项目即征即退项目
本月数本年累计本月数本年累计
销售额(一)按适用税率计税销售额13384184.0451780676.7800
其中:应税货物销售额23384184.0451780676.7800
应税劳务销售额30000
纳税检查调整的销售额40000
(二)按简易办法计税销售额50000
其中:纳税检查调整的销售额60000
(三)免、抵、退办法出口销售额700
(四)免税销售额800
其中:免税货物销售额900
免税劳务销售额1000
税额计算销项税额11439943.956731487.7800
进项税额12369297.545974566.2100
上期留抵税额13000
进项税额转出140000
免、抵、退应退税额1500
按适用税率计算的纳税检查应补缴税额1600
应抵扣税额合计17=12+13-14-15+16369297.540
实际抵扣税额18(如17<11,则为17,否则为11)369297.54000
应纳税额19=11-1870646.41756921.5700
期末留抵税额20=17-18000
简易计税办法计算的应纳税额210000
按简易计税办法计算的纳税检查应补缴税额2200
应纳税额减征额23028000
应纳税额合计24=19+21 -2370646.41756641.5700
税额缴纳期初未缴税额(多缴为负数)2521095.2480801.5200
实收出口开具专用缴款书退税额2600
本期已缴税额27=28+29+30+3121095.24766798.6800
①分次预缴税额2800
②出口开具专用缴款书预缴税额290
③本期缴纳上期应纳税额3021095.24766798.6800
④本期缴纳欠缴税额310000
期末未缴税额(多缴为负数)32=24+25+26-2770646.4170646.4100
其中:欠缴税额(≥0)33=25+26-2700
本期应补(退)税额34=24-28-2970646.410
即征即退实际退税额3500
期初未缴查补税额3600
本期入库查补税额3700
期末未缴查补税额38=16+22+36-3700
城市维护建设税本期应补(退)税额391766.1621202.9500
教育费附加本期应补(退)税额401059.6912721.7600
地方教育附加本期应补(退)税额41706.468481.1700
情况声明如果你已委托代理人申报,请填写下列资料:
为代理一切税务事宜,现授权___(地址)___为本纳税人的代理申报人,任何与本申报表有关的往来文件,都可寄予此人。
申报人声明本纳税申报表是根据国家税收法律法规及相关规定填报的,我确定它是真实的、可靠的、完整的。
授权人签字:声明人签字:
"} {"image_path": "images/4a72d8333ebfcd0d67ab499f27bd3274.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ADRLR0,ThumbFun+1;将Thumb程序的入口地址加1存入R0
BXR0;跳转到R0指定的地址,
;并根据R0的最低位来切换处理器状态
"} {"image_path": "images/2e51cc8937103be09d6e7b764ab9f513.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Comments, Promises,
Restrictions, Limitations and Conditions:
Luxury Tax has been applied
LEASING TERMS:OPT 1OPT 2
Leasing Company:BMW FSBMW FS
Interest Rate:3.49%3.49%
Payment Type:MONTHLYMONTHLY
Term:3648
TOTAL KMs at Lease End:2400032000
Cash Downpayment:\\$0.00\\$0.00
Residual: (48%, 40%)\\$52,176.00\\$43,480.00
LEASE PAYMENT:\\$2,015.29\\$1,741.95
GST:\\$100.76\\$87.10
PST:\\$193.11\\$167.77
TOTAL PAYMENT:\\$2,309.16\\$1,996.82
UPFRONT PAYMENTS:
Trade as Downpayment:\\$0.00\\$0.00
Cash Down:\\$0.00\\$0.00
FUEL:\\$0.00\\$0.00
Lease/Finance Fee:\\$595.00\\$595.00
Admin Fee:\\$595.00\\$595.00
Lender Fee - Lease:\\$35.00\\$35.00
Air Excise Tax:\\$100.00\\$100.00
Tire Levy - 4 Tires:\\$26.00\\$26.00
PPSA due on Delivery:$ \\underline{\\$37.25} $$ \\underline{\\$42.25} $
SUBTOTAL:\\$1,388.25\\$1,393.25
GST:\\$69.41\\$69.66
PST:\\$138.83\\$139.33
1st Payment:\\$2,309.16\\$1,996.82
Security Deposit:\\$2,350.00\\$2,000.00
Payable (To) By Customer\\$0.00\\$0.00
Totals + Trade (If App)\\$6,255.65\\$5,599.06
Less Customer Deposit ():\\$0.00\\$0.00
Due on Delivery+Trade (if App)\\$6,255.65\\$5,599.06
"} {"image_path": "images/e38508c5c5e7cb631e5d8c62d2f60c7f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
碳远期碳期货碳期权碳掉期碳置换碳借贷(借碳)
全国碳市场暂未纳入碳金融衍生品
北京
上海
天津暂未纳入碳金融衍生品
深圳
广东
重庆暂未纳入碳金融衍生品
湖北
EU-ETS
"} {"image_path": "images/80afc30dee8b1f798cfc6a3281d5d49d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
收入实际金额¥87,435.04支出实际金额¥4,583.60统计上月结余¥24,584.00
预算金额¥100,000.00预算金额¥5,000.00本期余出¥82,851.44
增减↓ -12.56%增减↑ -8.33%本期结余¥107,435.44
"} {"image_path": "images/e401d8e41d438b1654b29879abb262c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
单位 (%)202520262027长期
实际 GDP 同比增速9 月1.61.81.91.8
6 月1.41.61.81.8
失业率9 月4.54.44.34.2
6 月4.54.54.44.2
PCE 同比增速9 月3.02.62.12.0
6 月3.02.42.12.0
核心 PCE 同比增速9 月3.12.62.1
6 月3.12.42.1
联邦基金利率9 月3.63.43.13.0
6 月3.93.63.43.0
"} {"image_path": "images/726ed49e990fccd36608a89992d00360.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产行次期末余额年初余额和所有者权益(或股东权行次期末余额年初余额
流动资产:流动负债:
货币资金1129297.31191136.32短期借款312000000.003300000.00
短期投资2应付票据32
应收票据3应付账款33628366.231197307.59
应收账款41939136.632650995.29预收账款34
预付账款51270293.141657892.43应付职工薪酬3520000113157.00
应收股利6应交税费36119.4-2919.71
应收利息7应付利息37
其他应收款87500001830150.00应付利润38
存货91497840.611162529.46其他应付款39-1026523.4
其中:原材料10436582.52305718.21其他流动负债40
在产品11935872.54772251.25流动负债合计412648485.633581021.48
库存商品12125385.5584560.00非流动负债:
周转材料13长期借款42
其他流动资产14长期应付款43
流动资产合计155586567.697492703.50递延收益44
非流动资产:其他非流动负债45
长期债券投资16非流动负债合计46
长期股权投资17负债合计472,648,485.633,581,021.48
固定资产原价18178648.67178648.67
减:累计折旧1973268.7555939.91
固定资产账面价值20105379.92122708.76
在建工程21
工程物资22
固定资产清理23
生产性生物资产24所有者权益(或股东权益):
无形资产2556012.64实收资本(或股本)481000000.001000000.00
开发支出26413959.44资本公积49
长期待摊费用27盈余公积50
其他非流动资产28未分配利润512043461.983504362.86
非流动资产合计29105379.92592680.84所有者权益(或股东权益)523043461.984504362.86
资产总计305691947.618085384.34所有者权益(或股东权益535691947.618085384.34
"} {"image_path": "images/df54a8fb89c42912f999b9e5316e904d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fault NumberDetection Results
PCs = 8 (60% variance)PCs = 15 (95% variance)PCs = 19 (99% variance)
PCAPCA + KFDAPCAPCA + KFDAPCAPCA + KFDAKFDA
1CBCACBB
2DBCADAA
3DBCACBB
4CABACAA
5CABACAA
6BBCBBBB
7CBCACBB
8DBBACAA
"} {"image_path": "images/8c48860efae564656e2ff3d6ec018523.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产负债表2022202120202019
货币资金127.10104.0070.7582.29
应收票据及应收账款30.7821.8225.5332.44
应收账款30.7821.8225.5331.84
预付款项7.157.396.473.38
其他应收款合计8.6518.6520.1341.90
存货33.8826.1819.0327.61
其他流动资产9.7419.1215.9919.05
流动资产合计251.00254.00207.30218.10
长期应收款2.082.172.181.90
长期股权投资52.0649.7247.6433.70
固定资产117.70102.00109.60125.90
在建工程8.579.744.033.05
无形资产21.4124.6625.8329.54
开发支出5.005.167.4911.26
递延所得税资产10.8813.8614.4911.64
非流动资产合计219.80209.70213.90220.50
资产总计470.80463.70421.20438.50
短期借款9.1715.8121.0244.50
应付票据及应付账款159.00128.80106.30136.80
其中:应付票据73.5453.5128.0145.92
应付账款85.4775.3178.3090.92
应付职工薪酬4.785.195.304.33
"} {"image_path": "images/e35f968eb11c318ab36598c19768d23e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\mathbf{Factor} $$ \\mathbf{Late (n=1227)} $$ \\mathbf{Early (n=373)} $
Male614 (50.0%)183 (49.1%)
Age group
Children336 (27.4%)54 (14.5%)
Adult257 (20.9%)35 (9.4%)
Elderly634 (51.7%)284 (76.1%)
With mechanical ventilation441 (35.9%)179 (48.0%)
Asthma186 (15.2%)65 (17.4%)
COPD203 (16.5%)102 (27.3%)
"} {"image_path": "images/bab3eb1a5cf9df2a05353d5dfcd70021.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
流动资产流动负债
货币资金7064101.00短期借款0
交易性金融资产350943.58应付票据/账款215249.19
应收票据/账款13121.42应付职工薪酬42783.65
预付款项11059.3应交税费591117.44
应收利息0其他应付款(合计)576370.94
应收股利0应付股利8673
其他应收款(合计)6421.2一年内到期的非流动负债6236.64
买入返售金融资产735709.63其他流动负债142608.91
存货4099048.22流动负债合计3666392.14
待摊费用0非流动负债
其他流动资产4320.68长期借款0
流动资产合计21847285.71租凭负债31326.6
非流动资产递延所得税负债8043.76
发放贷款及垫款232990.34非流动负债合计39370.36
持有至到期投资140553.07负债合计3705762.5
投资性房地产443.91所有者权益
在建工程(合计)293601.4实收资本125619.78
固定资产及清理(合记)1891279.15资本公积137496.44
使用权资产31767.43其他综合收益-906.92
无形资产843648.55盈余公积3399796.85
开发支出26182.94一般风险准备106152.97
商誉0未分配利润18012703.36
长期待摊费用14150.83归母股东权益合计21780862.48
递延所得税资产485653.75少数股东权益721017.49
非流动资产合计4360356.77所有者权益合计22501879.98
资产合计26207642.48负债和所有者权益总计26207642.48
"} {"image_path": "images/9de47251a298a5de73e10af2eff92e44.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
查询
月份
9月银行名称月初余额本月收入本月支出月末余额对账
农行100,000.001,252.00526.00100,726.00
中行100,000.003,000.0011,525.0091,475.00
现金100,000.000.000.00100,000.00
余额汇总300,000.004,252.0012,051.00292,201.00
"} {"image_path": "images/a75c58d81ee79cd14cb63c1112d221ed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CategoryCriteriaDescription
Comprehension & AnalysisRelevant subject matterAll the material included should be relevant to the PMA. You should not include irrelevant or repetitive material or that which is tangential to the subject matter.
Conceptual understanding demonstratedExplain the theories/models/principles employed. We would expect there to be an introduction which shows a good grasp of the question and provides a clear outline of the scope of the PMA. We would not expect you to launch straight in with no attempt to introduce and define the topic. The question set is the one to which we expect an answer, not the one that you think it should have been.
Technical competence - the constructs appliedAppropriate selection of theories/models/principles from the academic literature to fit the theme of the assignment. The factual material that you include should be correct and of sufficient quantity for the subject covered.
Clearly developed critical argumentsPoints are connected by clear lines of argument, building validly from evidence to conclusions. We are looking for a piece of work which is well argued.
Evidence of originality & independent thinkingEvidence of taking an original/creative perspective on the topic. We are looking for clear evidence of your own insight, imagination and innovative thought. Whilst we expect you to use various sources, you should not place too much dependence on material paraphrased from books. Material which is copied directly from books or other sources without proper acknowledgement will be severely penalised (see your student handbook).
Main issuesMain themes fully discussed and explored, optimising any word count limit. Inclusion of all PMA requirements
Analysis, synthesis, applicationIntelligent synthesis of theory and practice. Critical application of concepts to illuminate the question.
DiscussionWe are looking for a piece of work with all the main issues explored and evaluated. In this category we would expect more than just descriptive work where there is little analysis or criticism.
ConclusionsLogically derived, justified and clearly expressed conclusions.
RecommendationsWhere required, sound practical and justified recommendations.
Effort & CoverageRange of appropriate academic referencesWide use of reputable, published background literature, supplemented – where appropriate – with relevant online resources.
Use of sourced evidence from actual case organisationEffort demonstrated to obtain a range of appropriate case-organisation information. We would expect answers to incorporate good, relevant use of company/industrial examples to illustrate any theoretical points.
ObjectivesThe main objectives and requirements of the work are covered.
Reievant materialBalance of supporting unbiased, reputable, and published material between academic and case information.
ProductionAppropriate vocabulary, grammar and punctuation; PMA production is laid out and arranged correctly for an academic document, with appropriate use of fonts, indentations, line breaks, etc.
Communication skills/clarity ofpropriate critical writing style for an academic document.
"} {"image_path": "images/d32402dedf3347fc5f6fae6b9c1c6585.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
商品名称商品条码数量单价金额
绿豆芽/2801151004900080.82KG5.984.9
冬瓜/2800111003500101.04KG3.363.5
螺丝椒(精品)/2819412003930020.25KG15.983.93
湖南干/2807816011300090.97KG11.611.3
C-冰鲜五花肉/2828918013900040.44KG31.7413.9
塑料购物袋35/8000171个0.30.3
"} {"image_path": "images/122c4dd527c316e00d15b4f35e31a4e4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Three Months Ended July 31,Six Months Ended July 31,
2019201820192018
Revenue:
Subscription132,494\\$ 87,854\\$ 249,657\\$ 164,695
Professional services and other7,9866,73216,04613,512
Total revenue140,48094,586265,703178,207
Cost of revenue:
Subscription27,91719,21152,45735,543
Professional services and other10,8639,01721,41816,792
Total cost of revenue38,78028,22873,87552,335
Gross profit101,70066,358191,828125,872
Operating expenses:
Research and development40,04524,82974,07744,758
Sales and marketing78,38559,004160,497108,497
General and administrative26,88720,95552,65336,025
Total operating expenses145,317104,788287,227189,280
Operating loss(43,617)(38,430)(95,399)(63,408)
Interest expense(4,304)(4,058)(8,545)(6,775)
Other income, net3,4642,2966,3643,798
Loss before benefit from income taxes(44,457)(40,192)(97,580)(66,385)
Benefit from income taxes(1,477)(985)(2,634)(1,216)
Net loss(42,980)\\$ (39,207)\\$ (94,946)\\$ (65,169)
Net loss per share, basic and diluted(0.37)\\$ (0.37)\\$ (0.83)\\$ (0.62)
Weighted-average shares used to compute n115,033106,702105,457
"} {"image_path": "images/8f45ff80da42e80a90c433b4d552d1ab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Three Months Ended March 31,
(in millions)20222021
Net sales\\$ 3,874 \\$ 4,009
Operating income\\$ 352 $ 403
Operating margin9.1 %10.1 %
Non-comparable items:
Merger, acquisition and divestiture expense\\$ 23\\$ 13
Intangible asset amortization expense2320
Restructuring expense1530
Gain on sale of business(24)
Net gain on insurance recovery for property damage(2)
Adjusted operating income\\$ 389\\$ 464
Adjusted operating margin10.0 %11.6 %
Free Cash Flow Reconciliation (Unaudited)
Three Months Ended March 31.
(in millions)20222021
Net cash provided by operating activities\\$ 116\\$ 342
Capital expenditures, including tooling outlays(177)(195)
Free cash flow
"} {"image_path": "images/42db6bff3211645f6e7df973559ea391.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EQUIPMENT
1
2
3
4
5
6+1 Ene
7
8
9
10
11+1 Ene
12
13
14
15
16+1 Ene
17
18
19
20
21+1 Ene
22
23
24
25
26
27
28
29
30
31
"} {"image_path": "images/fee5654998c6725152e7492b6d0e0d60.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
投资评级买入(维持)
股价(2025年05月08日)131.36元
目标价格192.64元
52周最高价/最低价161.96/81.24元
总股本/流通A股(万股)121,695/121,695
A股市值(百万元)159,858
国家/地区中国
行业电子
报告发布日期2025年05月09日
"} {"image_path": "images/88e7ff406d265c2de2a8b87c5f8e52c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
会计年度2023A2024E2025E2026E
成长能力
营业收入20.5%12.2%11.1%10.1%
营业利润151.2%130.1%32.4%27.9%
归母净利润(NON-GAAP)278.6%71.7%28.5%22.8%
获利能力
毛利率50.6%54.6%55.2%55.8%
净利率5.6%12.0%13.7%16.5%
ROE13.0%23.4%23.8%23.9%
偿债能力
资产负债率53.8%44.7%40.1%31.8%
净负债比率-0.26-0.22-0.38-0.41
流动比率1.241.611.962.66
营运能力
总资产周转率1.071.090.980.92
应收账款周转率17.8117.5117.2116.91
应付账款周转率2.192.192.192.19
每股指标(元)
每股收益2.364.105.276.47
每股经营现金4.782.095.844.83
每股净资产11.2914.8419.5725.83
估值比率
P/E20.814.411.29.1
P/B4.692.702.041.64
"} {"image_path": "images/847e8732ba1c6e0b94e45b1f35f4dad6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
末数年初数负债及所有者权益行次期末数年初数
流动资产:流动负债:
货币资金11525673.91852352.41短期借款30
短期投资2应付票据31
应收票据3550000.00380000.00应付账款32631033.82579919.98
应收账款45086747.804985747.50预收账款33328374.14391815.27
减:坏账准备5其他应付款34
应收账款净额65086747.804985747.50应付工资35267485.80179687.85
预付账款7185493.30应付招利费36
应收补贴款8未交税金3774171.7181371.38
其他应收款996800.10384202.91未付利润38
存货10854174.90968741.20其他未交款39
待摊费用11预提费用40
待处理流动资产净损失12一年内到期的长期负债41
一年内到期的长期债券投资13其他流动负债42
其他流动资产14
流动负债合计431301065.471232794.48
流动资产合计158298890.017571044.02长期负债:
长期投资:长期借款449064031.1110308644.70
长期投资16应付债券45
固定资产:长期应付款46
固定资产原价1723541784.8022841784.80其他长期负债47
减:累计折旧183068578.232385002.94其中:住房周转金48
固定资产净值1920473206.5720456781.86
固定资产清理20长期负债合计49
在建工程21递延税项:
待处理固定资产损失22递延税款贷项50
固定资产合计2320473206.5720456781.86
无形资产及递延资产:负债合计5110365096.5811541439.18
无形资产24所有者权益:
递延资产25实收资本525000000.005000000.00
资本公积53
无形资产及递延资产合计26盈余公积54
其他长期资产:其他:应交金55
其他长期资产27未分配利润5613407000.0011486386.70
递延税项:所有者权益合计5718407000.0016486386.70
递延税款借项28
资产总计2928772096.5828027825.88负债及所有者权益总计5828772096.5828027825.88
"} {"image_path": "images/e19d754b6f3165c9304ba5f33b50590e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PredecessorSuccessor$ ^{(1)} $
Year ended December 31,Period of January 1, 2018 through December 18,Period of December 19, 2018 through December 31,Year ended December 31,
2016
(unaudited)
2017
(unaudited)
2018
(unaudited)
2018
(unaudited)
2019$ ^{(2)} $2020$ ^{(2)} $
Net sales\\$ 247,496\\$ 265,247\\$ 285,838\\$ 1,374\\$ 317,975\\$ 403,389
Cost of sales168,021178,761190,8342,881219,819260,616
Gross profit79,47586,48695,004(1,507)98,156142,773
Selling, general and administrative expense47,26843,93167,4662,68957,38885,527
Amortization8,9908,2887,9921,06815,64317,347
Income (loss) from operations23,21734,26719,546(5,264)25,12539,899
Other expense (income):
Interest expense14,55014,14311,11666422,63918,251
Other expense (income), net47(1,596)2,31285(300)(1,111)
Total other expense (income), net14,59712,54713,42874922,33917,140
Income (loss) before income taxes8,62021,7206,118(6,013)2,78622,759
Income tax (benefit) expense5,720(13,516)4,229(981)(4,671)6,776
Net income (loss)\\$ 2,900\\$ 35,236\\$ 1,889\\$ (5,032)\\$ 7,457\\$ 15,983
Net income (loss) per share attributable to common stockholders:$ ^{(3)} $
Basic and diluted\\$ (0.05)\\$ 0.07\\$ 0.14
Weighted-average common shares outstanding:$ ^{(3)} $
Basic and diluted109,673,7091 3,78911,469,584
"} {"image_path": "images/d486ddf138ed7ab39c9e25be4027c1c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号对方单位名称纳税人识别号发票代码发票号码开票日期不含税金额税率税额开票金额发票类型备注
1杭州大华电子有限公司9133010015306218473322001478945612020/4/153846.1511.00%653.854,500.00普通发票
2花儿有限责任公司9133010015306211253322661508945622020/4/165825.243.00%174.766,000.00专用发票
3小熊猫有限公司91330100153062345673322991618945632020/5/174273.511.00%726.55,000.00普通发票
4杭州大华电子有限公司9133010015306218473322001478945622020/5/183846.1517.00%653.854,500.00普通发票
5花儿有限责任公司9133010015306211253322661508945642020/6/195825.243.00%174.766,000.00专用发票
6小熊猫有限公司91330100153062345673322991618945662020/6/204273.517.00%726.55,000.00专用发票
-
-
-
-
-
-
-
-
-
-
"} {"image_path": "images/86f8b14d7e55d00e2bec59ceadeb5337.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
每股收益(EPS,元)每股净资产(BVPS,元)市盈率 PE市净率 PB股价评级目标价
11年12年11年12年11年12年11年12年(元)(元)
招行1.671.967.659.145.955.071.301.099.94谨慎增持11.8
浦发1.461.687.989.435.194.510.950.807.58谨慎增持9.2
民生1.051.234.855.905.674.841.231.015.95增持7.28
中信0.710.763.734.325.455.061.040.903.87谨慎增持4.63
兴业2.362.5110.6813.035.314.991.170.9612.53增持15.24
华夏1.481.639.3310.675.955.400.940.828.80谨慎增持10.65
平安2.472.3114.3116.156.116.541.060.9315.10谨慎增持18.01
光大0.450.482.382.736.135.691.161.012.76谨慎增持3.21
股份制平均5.725.261.110.94
工行0.600.662.743.146.335.741.391.213.80增持4.29
农行0.380.452.002.336.615.571.261.082.51谨慎增持2.82
中行0.440.482.592.886.275.741.070.962.76中性3.14
建行0.680.743.243.695.935.461.241.094.03谨慎增持4.55
国有行平均6.285.631.241.08
北京1.441.228.098.075.176.100.920.927.44谨慎增持9.01
南京1.081.327.298.327.366.021.090.967.95增持9.72
宁波1.131.376.497.508.697.191.511.319.82谨慎增持11.96
城商行平均7.076.441.171.06
"} {"image_path": "images/08133affce4e41d2a98edf318446d49d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别指标名称单位更新时间最新值上期值环比数值
变化
去年同期值同比数值
变化
出口价SCFI:综合指数/2025-10-171310.321160.42149.902062.15(751.83)
CCFI:综合指数/2025-10-17973.111014.78(41.67)1405.22(432.11)
波罗的海干散货指数均值/2025-10-182055.601940.20115.401459.60596.00
出口量韩国:前 10 日出口总额:同比%2025-10-10(15.20)3.70(18.90)33.10(48.30)
"} {"image_path": "images/63756cc86460c480f6c83388f3def30a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号供应商编码供应商名称累计供货次数累计供货金额收款金额未收款金额
11010101供129,500.002,000.007,500.00
21010102供229,000.002,000.007,000.00
31010103供328,000.002,000.006,000.00
41010104供428,000.002,000.006,000.00
51010105供528,000.002,000.006,000.00
61010106供627,500.002,000.005,500.00
71010107供729,000.002,000.007,000.00
81010108供815,000.001,000.004,000.00
91010109供915,000.001,000.004,000.00
101010110供1013,500.001,000.002,500.00
---
---
---
---
---
---
---
---
---
---
"} {"image_path": "images/45291376497451d12897d2759b1be9fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科目2018年2019年总资产占比增长率
现金及现金等价物1374.51,551.4075215.32.06%12.87%
有价证券72.983.275215.30.11%14.13%
应收帐款,扣除3.4美元和2.7美元的准备金553.3491.875215.30.65%-11.12%
其他流动资产(包括\\$ 4.3和\\$ 1.5的限制现金)430.5364.475215.30.48%-15.35%
履约保证金和担保基金供款39,455.5037,077.0075215.349.29%-6.03%
流动资产总额41,886.7039,567.8075215.352.61%-5.54%
净资产448.754475215.30.72%21.24%
无形资产—交易产品17,175.3017,175.3075215.322.83%0.00%
无形资产-其他净额5,500.105,117.7075215.36.80%-6.95%
善意10,805.3010,742.5075215.314.28%-0.58%
其他资产(包括0.9美元和1.2美元的限制现金)1,659.602,068.0075215.32.75%24.61%
总资产77,475.7075,215.3075215.3100.00%-2.92%
负债与权益75215.30.00%
流动负债:75215.30.00%
应付账款11661.975215.30.08%-46.64%
短期债务574.2075215.30.00%-100.00%
其他流动负债1,126.901,384.8075215.31.84%22.89%
履约保证金和担保基金供款39,455.5037,075.8075215.349.29%-6.03%
流动负债合计41,272.6038,522.5075215.351.22%-6.66%
"} {"image_path": "images/2e434b6c1150ce2bcfb280a31ae44619.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目计算公式本年数上年数变动数参考值
一、短期偿债能力比率
1、营运资本流动资产-流动负债460,776.50140,266.00320,510.50
2、流动比率流动资产÷流动负债3.961.262.701.60
3、速动比率速动资产÷流动负债3.911.232.690.80
4、现金比率(货币资金+交易性金融资产)÷流动负债0.120.040.07
5、现金流量比率经营活动现金流量净额÷流动负债275.04%0.00%275.04%12.00%
二、长期偿债能力比率
1、资产负债率(总负债÷总资产)×100%21.18%67.17%-45.99%65.00%
2、产权比率总负债÷股东权益26.86%204.60%-177.73%150.00%
3、权益乘数总资产÷股东权益1.273.05-1.78250.00%
4、长期资本负债率[非流动负债÷(非流动负债+股东权益)]×100%0.00%45.71%-45.71%50.00%
5、利息保障倍数(净利润+利息费用+所得税费用)÷利息费用26.232.7623.473.50
6、现金流量利息保障倍数经营活动现金流量净额÷利息费用32.920.0032.921.40
7、现金流量债务比经营活动现金流量净额÷债务总额275.04%0.00%275.04%7.00%
二、营运能力比率
1、应收帐款周转率(次数)销售收入÷应收账款0.660.140.528.00
2、存货周转率(次数)销售成本÷存货46.465.1741.296.00
3、流动资产周转率(次数)销售收入÷流动资产1.130.240.891.50
4、营运资本周转率(次数)销售收入÷营运资本1.511.140.374.00
5、非流动资产周转率(次数)销售收入÷非流动资产5.860.245.630.80
6、总资产周转率(次数)销售收入÷总资产0.950.120.830.50
7、现金流量资产比经营活动现金流量净额÷总资产0.580.000.584.00%
三、盈利能力比率
1、销售净利率(净利润÷销售收入)×100%35.39%35.68%-0.28%8.00%
2、总资产净利率ROA(净利润÷总资产)×100%33.47%4.23%29.24%5.00%
3、权益净利率(净利润÷股东权益)×100%42.46%12.88%29.58%6.20%
四、市价比率
1、市盈率每股市价÷每股收益-
2、市净率每股市价÷每股净资产-
3、市销率每股市价÷每股销售收入-
五、杜邦分析体系(旧)
1、权益净利率ROE销售净利率×总资产周转次数×权益乘数42.46%12.88%29.58%6.20%
"} {"image_path": "images/8562646a5914af7ab823501e3d528fbe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
部件名称部件名称
六价铬多溴联苯多溴二苯醚
(Pb)(Hg)(Cd)(Cr(VI)(PBB)(PBDE)
塑胶件
五金件
发热体组件X
电机组件X
电路控制组件X
电源线
附件
"} {"image_path": "images/e124812e88a6b86863381b595344d584.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科目课时数时长课单价(补贴后)总价(补贴后)社区补贴
美术40节45分钟/节
(每次学习划两节)
25元/节1000元






硬笔书法40节45分钟/节
(每次学习划两节)
25元/节1000元
软笔书法40节45分钟/节
(每次学习划两节)
30元/节1200元
舞蹈40节45分钟/节
(每次学习划两节)
25元/节1000元
钢琴20节45分钟/节95元/节(1-3级)1900元
古筝20节45分钟/节95元/节(1-3级)1900元
小提琴20节45分钟/节120元/节2400元
吉他20节45分钟/节100元/节2000元
咨询电话锡锡老师:13314484144
"} {"image_path": "images/81d4d7227bbebc1405072f1f5e9413bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\underline{\\text{报告期}} $
全部
$ \\underline{\\text{每股收益(元)}} $$ \\underline{\\text{每股收益(扣除)(元)}} $营业总收入净利润$ \\underline{\\text{每股净资产(元)}} $$ \\underline{\\text{净资产收益率(%)}} $$ \\underline{\\text{每股经营现金流量(元)}} $$ \\underline{\\text{销售毛利率(%)}} $利润分配$ \\underline{\\text{首次公告日期}} $$ \\underline{\\text{最新公告日期}} $
$ \\underline{\\text{营业总收入(元)}} $$ \\underline{\\text{同比增长(%)}} $$ \\underline{\\text{季度环比增长(%)}} $$ \\underline{\\text{净利润(元)}} $$ \\underline{\\text{同比增长(%)}} $$ \\underline{\\text{季度环比增长(%)}} $
2025
06-30
0.140.074813万-3.074-471.0万16.48-1.251311.920.344739.7610派0.562025
08-27
2025
08-27
2024
12-31
0.05-0.131.03亿-2.391-157.1万-24.12-1.114.210.405641.21不分配不转增2025
04-25
2025
04-25
2024
06-30
0.120.124966万-0.451-404.4万-12.54-1.222810.400.019943.5110派0.372024
08-28
2025
08-27
2023
12-31
0.06-0.021.05亿13.20-207.1万1336.0-1.15.600.449938.55不分配不转增2024
04-24
2025
04-25
2023
06-30
0.140.094989万-4.732-462.3万68.52-1.219112.020.24447.7910派0.402023
08-18
2024
08-28
2022
12-31
-0.01-0.109291万-18.46--16.75万-105.00-1.08-0.410.199439.49不分配不转增2023
04-28
2024
04-24
2022
06-30
0.080.065236万-6.748-274.3万-9.360-1.26026.43-0.135343.6710派0.802022
08-15
2023
08-18
2021
12-31
0.120.091.14亿19.99-414.7万262.39-1.2510.080.577739.5710派0.902022
04-25
2023
04-28
"} {"image_path": "images/eaaf92147ada273e87b1bdb85cf81347.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sleep MinutesPercent Interrupted Sleep for CaregivingPercent NappedPercent Bedtime past Midnight
MenWomenMenWomenMenWomenMenWomen
Employment Category
Did Not Work, Is Not in Labor Force548.0531.2.44.317.014.226.720.1
(128.2)(119.1)
Did Not Work, Is Employed558.6552.9.$ 7^{b} $3.312.7$ 14.9^{b} $$ 24.1^{b} $$ 21.5^{b} $
(119.0)(114.1)
Worked < 8 Hours502.6496.0.82.411.2$ 10.5^{a} $$ 25.1^{b} $$ 19.7^{b} $
(117.1)(105.8)
Worked 8+ Hours442.9450.4.$ 5^{b} $1.24.5$ 4.6^{a} $18.8$ 17.8^{a} $
(99.0)(93.7)
Life Course Stage
Young Single Childless521.3$ 526.9^{a} $.1.$ 2^{a} $10.2$ 12.2^{a} $37.134.6$ ^{a} $
(136.9)(125.4)
Young Partnered Childless494.2$ 522.2^{b} $.$ 0^{b} $.$ 5^{b} $6.2$ 10.3^{b} $23.4$ 20.6^{a} $
(119.0)(113.0)
Partnered Younger Children486.8513.42.912.26.9$ 10.9^{b} $18.216.1
(118.7)(108.0)
Partnered Older Children482.2495.1.$ 3^{b} $1.48.1$ 8.6^{a} $15.7$ 14.5^{a} $
(112.2)(106.3)
Single Parent500.3521.0.53.7$ 8.9^{b} $$ 14.0^{b} $21.7$ 20.3^{a} $
(125.0)(131.3)
Older Partnered Childless484.7495.7.$ 2^{b} $.8$ 10.0^{b} $$ 10.1^{a} $14.7$ 16.5^{a} $
(111.1)(104.7)
Older Single Childless505.0$ 500.2^{a} $.$ 1^{b} $.$ 3^{b} $13.8$ 12.6^{a,b} $22.420.1
(127.8)(128.0)
"} {"image_path": "images/de0a64590ca1b72df7b4e190d3ecc9cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品金额数量
2025-092025-08环比变化2025-092025-08环比变化
稀土97.134.762.4-4.322.6-26.9
肥料95.468.027.468.126.241.9
船舶42.734.97.817.030.2-13.2
粮食37.2-11.148.474.97.167.8
集成电路32.732.8-0.116.825.4-8.6
通用机械设备24.84.320.6
液晶显示板17.013.83.212.013.2-1.2
中药材及中式成药14.70.714.014.72.712.0
汽车(包括底盘)10.917.3-6.524.325.1-0.8
医疗仪器及器械8.86.12.7
音视频设备及其零件7.84.23.7
纺织纱线、织物及其制品6.41.45.0
汽车零配件5.24.80.5
塑料制品3.80.83.0
水产品1.70.41.312.60.412.2
家具及其零件0.4-3.23.6
自动数据处理设备及其零部件-0.3-3.02.7
未锻轧铝及铝材-1.4-6.55.1-7.3-10.22.9
手机-1.9-18.917.0-7.9-11.63.7
钢材-2.7-7.54.73.10.22.9
陶瓷产品-4.3-0.6-3.7-2.72.4-5.1
成品油-5.9-0.4-5.6-1.08.4-9.4
服装及衣着附件-8.0-10.12.1
家用电器-9.7-6.6-3.0-3.8-3.6-0.2
箱包及类似容器-12.3-14.92.61.7-3.14.9
鞋靴-13.3-17.13.80.1-5.95.9
灯具、照明装置及其零件-16.7-17.00.3
玩具-28.0-21.0-7.0
"} {"image_path": "images/b9d1fa682e9c476e2f17410ada5c693d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产负债
项目现值金额比例项目现值金额比例
现金资产现金150.00%长期负债银行贷款00.00%
活期储蓄0.00%保险贷款0.00%
定期储蓄0.00%外部债务0.00%
货币基金150.00%其它0.00%
应收借款00.00%
其它0.00%
合计2100.00%合计00.00%
金融资产股票0.00%流动负债信用卡1100.00%
基金00.00%小额借款00.00%
债券0.00%保险费0.00%
期货0.00%房产税0.00%
保险现值0.00%所得税0.00%
P2P00.00%其它0.00%
合计00.00%合计1100.00%
实物资产自住房产0.00%
投资性房产0.00%
汽车0.00%
珠宝0.00%
收藏品0.00%
其它0.00%
合计00.00%
总资产2总负债1
个人资产净值1负债率50.00%
"} {"image_path": "images/2df28f5e7772cd91d2294a106514886e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别名称11月1日收盘价当日涨跌幅当周涨跌幅
商品期货(主力合约)WTI原油(美元/桶)69.330.10%-3.41%
LME铜(美元/吨)9539.000.35%-0.26%
LME铝(美元/吨)2603.00-0.55%-2.51%
LME铅(美元/吨)2038.500.94%-0.15%
LME锌(美元/吨)3066.001.22%-1.08%
LME镍(美元/吨)16120.002.56%0.00%
LME锡(美元/吨)31800.001.88%1.27%
COMEX黄金(美元/盎司)2744.80-0.16%-0.53%
COMEX白银(美元/盎司)32.54-0.80%-3.88%
全球股市上证指数3272.01-0.24%-0.84%
深证成指10455.50-1.28%-1.55%
创业板指2123.74-1.88%-5.14%
科创50939.76-3.06%-5.19%
道琼斯42052.190.69%-0.15%
标普5005728.800.41%-1.37%
纳斯达克18239.920.80%-1.50%
英国富时1008177.150.83%-0.87%
德国DAX3019254.970.93%-1.07%
法国CAC407409.110.80%-1.18%
外汇市场美元指数104.320.41%0.00%
"} {"image_path": "images/1dd8836d251cfd30099d678b70457571.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Three Months Ended
April 30,2019July 31,2019October 31,2019January 31,2020April 30,2020July 31,2020October 31,2020January 31,2021
(in thousands)
Revenue:
Licenses\\$36,155\\$47,353\\$46,241\\$71,899\\$63,759\\$79,513\\$78,555\\$124,208
Maintenance and support21,98627,11832,02438,48443,19651,93261,50875,906
Services and other2,1882,6195,6434,4466,1487,9317,2267,761
Total revenue60,32977,09083,908114,829113,103139,376147,289207,875
Cost of revenue:
Licenses5105837051,9621,4171,6361,7202,281
Maintenance and support$ ^{(1)} $2,4485,0756,6202,3605,5435,5016,0927,079
Services and other$ ^{(1)} $15,1308,2857,2748,4536,6787,5619,57310,776
Total cost of revenue18,08813,94314,59912,77513,63814,69817,38520,136
Gross profit42,24163,14769,309102,05499,465124,678129,904187,739
Operating expenses:
Sales and marketing$ ^{(1)} $94,039131,123139,408118,77490,93190,33199,51299,380
Research and development$ ^{(1)} $48,17832,30926,27224,30726,72926,54127,45629,194
General and administrative$ ^{(1)} $56,81849,75038,09734,95926,67624,83465,95144,574
Total operating expenses199,035213,182203,777178,040144,336141,706192,919173,148
Operating (loss) income(156,794)(150,035)(134,468)(75,986)(44,871)(17,028)(63,015)14,591
Interest income6342,6082,2811,21853077144401
Other (expense) income, net(2,054)(2,862)(247)(1,434)(7,837)24,010(6,303)4,643
(Loss) income before income taxes(158,214)(150,289)(132,434)(76,202)(52,178)7,059(69,174)19,635
(Benefit from) provision for income taxes(442)7426021,8926622,0721,622(6,621)
Net (loss) income\\$(157,772)\\$(151,031)\\$(133,036)\\$(78,094)\\$(52,840)\\$4,987\\$(70,796)\\$26,256
"} {"image_path": "images/fe0dc4308e4173be76f72e8cafa9667f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份组别目标完成完成率单组排名月度销量月排名
10月A组5000379375.86%3172851
B组8000727490.93%2
C组60006218103.63%1
11月A组42004582109.10%1127493
B组3600348796.86%2
C组5500468085.09%3
12月A组54006701124.09%1171072
B组7600530069.74%3
C组46005106111.00%2
小计499004714196.26%47141
"} {"image_path": "images/c7c8c8d0a2bc0796382df2d7eb45cb3b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别本月收入
收入项目金额
收入营业额收入¥482,633.70
其他业务收入¥150,000
出租库房收入¥200,000
应收账款(客户)¥50,000
收入合计:¥882,634
类别本月支出
支出项目金额
支出办公楼租金¥20,000
物业管理费¥1,500
员工工资¥56,800
员工餐饮费¥12,800
食材购买¥2,000
保洁费用¥1,500
设备采购¥110,000
财务费用¥800
办公费用¥29,000
业务招待费¥5,980
员工入职培训费¥5,000
市场推广费¥5,000
水费¥9,870
电费¥8,790
其它¥12,000
支出合计:281040
"} {"image_path": "images/d8c0744a05acf80f04a1d62ab66dc262.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基础装修部分
石工部分
序号分部分项工程名称单位工程量单价合价主材及品牌工艺说明
1石工开线槽,水槽$ m^{2} $32782616.00地面,墙面石工开线槽 水槽 人工费
2新建墙体$ m^{2} $8218014760.00120墙新建【人工,材料】
小计17376.00
电工部分
序号分部分项工程名称单位工程量单价合价主材及品牌工艺说明
1强电改造材料费$ m^{2} $327.044.014388.00鸽牌BV鸽牌电线、得亿穿线管及管接件
2弱电改造材料费$ m^{2} $327.010.03270.00秋叶源电话线、网络线、闭路线音箱线符合设计要求
3电路铺设人工费$ m^{2} $327.030.09810.00人工费
小计27468.00
泥工部分
序号分部分项工程名称单位工程量单价合价主材及品牌工艺说明
1地面找平$ m^{2} $227.030.06810.00人工费 辅料
2600*600地砖铺贴$ m^{2} $47.050.02350.00人工费 辅料
3地面做防水处理$ m^{2} $47.050.02350.00人工费 材料
4墙面文化砖铺贴$ m^{2} $244.080.019520.00人工费 辅料
小计31030.00
木工部分
序号分部分项工程名称单位工程量单价合价主材及品牌工艺说明
1防腐木安装$ m^{2} $60.050.03000.00人工费 辅料
2刚架加木板展示架$ m^{2} $29.0400.011600.00人工费 材料【按投影面积计算】
3门头制作1.04000.04000.00人工费 辅料
"} {"image_path": "images/0b5c04f3738057964b53dadab9eb935f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ABCDEFGH
1分类1分类22月销售数据1月销售数据
22月销量2月销售额2月利润1月销量1月销售额1月利润
3LED灯饰2小计4,9451,356,303.8067,725.718,8482,143,670.87-171,253.82
4LED 爆竹灯61,808.06505.03245,137.27-734.28
5LED 窗帘灯19831,818.6865.7636868,670.02-2,981.52
6LED 灯串601161,895.0510,069.742,478658,097.75-83,930.67
7LED 其他25953,534.79-4,279.28822199,280.92-37,358.69
8LED 树顶灯5998.93-266.336012,359.40-3,006.11
9LED 庭院灯3,429996,117.5969,543.623,162886,024.5929,848.99
10LED 星星灯15624,995.68225.741,039172,714.62-3,602.36
11LED地插灯5879.64951.42307,119.93-2,644.55
12LED 铁艺灯516,723.28-783.0976197,752.55-45,439.39
13气模23276,785.05-7,323.889935,334.26-18,318.15
14圣诞摆件3756.15-983.0251,179.86-3,087.09
15LED照明小计25,0868,242,725.781,596,402.3431,93810,354,739.791,883,224.32
16LED 户外灯14823,460.011,147.7413921,829.144,417.51
17LED 护眼灯23,0957,520,415.561,585,690.0628,9769,449,083.241,915,429.90
18LED 照明家用灯具1,843698,850.219,597.542,823883,827.41-36,619.09
19宠物小计2,324862,361.6732,992.663,5371,138,374.9430,858.55
20宠物 其他646335,996.32-444.07387193,336.0515,352.26
21宠物背带251,706.30-1,534.32444,489.51-1,552.51
22宠物垫/宠物毯982218,841.1532,943.022,348593,894.8250,022.02
23宠物清洁类332191,060.61-6,019.15395214,331.41-26,620.15
24宠物喂食类339114,757.298,047.18363132,323.15-6,343.07
25电脑电器周边小计74078,796.51-7,818.791,299123,369.82-2,241.82
26电脑充电器204,471.09-245.72348,806.28687.57
27数据线 电脑72074,325.42-7,573.071,265114,563.54-2,929.39
28耗材类小计462,555.91629.61593,471.171,052.33
29其他配件462,555.91629.61593,471.171,052.33
30家纺小计9,3702,357,710.60465,899.928,1352,023,050.14331,060.10
31家纺 被子407180,612.93-4,374.8118274,481.63-25,964.37
32家纺 其他31.90
33家纺 毯子3,6671,260,530.54303,899.063,1311,152,965.09256,231.43
34家纺 衣服10952.82-24.65101,323.43186.81
35家纺 枕套4,573655,681.88160,829.034,296616,391.37129,976.09
36家纺 枕头712259,544.285,458.09514177,476.34-29,736.35
37家纺 组合品1388.15113.201315.11334.59
38家居电器小计855303,973.92-26,822.051,317454,000.67-26,077.95
39个护清洁241122,970.71-17,370.53404204,695.14-17,406.15
40家居小家电464141,803.81-12,945.38428131,469.98-17,423.67
41温湿度计15039,199.403,493.86485117,835.558,751.87
42家居杂货小计51,3897,174,170.16919,037.9255,2057,662,787.63705,442.82
43厨房工具2,405237,614.1552,441.465,573561,383.56109,946.02
44害虫捕捉类46857,372.657,507.0465981,765.7113,903.55
45家居挂钩20,4541,836,784.86239,735.3421,2311,968,608.63200,258.24
46家居 挂篮8,5691,376,609.56145,910.089,5631,519,145.9990,513.95
47家居 收纳4,600951,897.8998,745.654,097833,005.8033,796.02
48卫浴14,8932,713,891.05374,698.3514,0822,698,877.94257,025.04
49其他费用小计-884,656.61-1,126,716.79
50其他费用-884,656.61-1,126,716.79
51手机周边小计31,7202,415,765.25391,006.0439,7072,976,216.08377,520.77
52传统支架 出风口36629,977.123,225.1836028,476.892,666.85
53传统支架 磁力522,556.7891.35663,244.77-75.05
54手表充电器39127,378.651,919.2836324,418.59228.93
55手机充电头 快充805,634.2265.2417811,752.40194.03
56手机充电组合2,684251,769.6030,611.043,795326,072.5215,200.84
57手机无线充516,530.10-466.48486,072.68-1,323.49
58数据线 MFI9505.19-430.7414761.10-603.47
59数据线 安卓284.78-2.38
60数据线 苹果21,4401,562,157.87289,053.0526,1071,878,301.07274,791.91
61数据线 USB C2,779180,473.8323,224.143,498222,100.1227,998.19
62数据线 TypeC及多功能3,634300,061.7753,052.374,923396,637.8864,121.47
63无线充支架 出风口252,470.15-788.923296.85-442.39
64自拍支架20746,165.19-8,547.0935278,081.21-5,237.05
65运动户外小计3,6771,229,810.5773,002.454,3061,217,640.51-47,491.11
66户外野营用品236139,876.94-25,691.03316159,063.59-10,120.56
67睡垫1,206566,633.0764,080.04859389,705.70-12,296.18
68运动 健身垫346,488.922,505.09213,908.11753.73
69运动 跆拳道13336,649.2913,291.6810425,251.566,455.44
70运动 瑜伽垫1,830377,201.518,312.422,888586,286.07-34,790.81
71运动 袜282,381.0455.71171,696.7445.92
72帐篷210100,579.8010,448.5410151,728.742,461.35
73总计130,15224,024,174.172,627,399.20154,35128,097,321.621,955,377.40
74
75
76
77
78
"} {"image_path": "images/20ad48f4dbcdaf116775da6269d3b234.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
报告期
全部
净现金流(元)净现金流同比(%)经营性现金流量净额(元)经营性现金流量净额占比(%)销售商品、提供劳务收到的现金投资性现金流量净额(元)投资性现金流量净额占比(%)取得投资收益收到的现金购建固定资产、无形资产和其他长期资产支付的现金融资性现金流量净额(元)融资性现金流量净额占比(%)公告日期
金额(元)占比(%)金额(元)占比(%)金额(元)占比(%)
2025 09-301.55亿217.037813万50.388.94亿576.642.08亿134.392012万12.978840万57.00-1.24亿-79.7410-25
2025 06-302.23亿166.658019万36.026.54亿293.812.94亿132.231195万5.3675499万24.70-1.50亿-67.2308-26
2025 03-319123万-58.165109万56.003.36亿368.416209万68.06779.4万8.5443273万35.88-2089万-22.9004-21
2024 12-31-1.98亿-193.752.66亿134.1314.24亿718.18-2.65亿-133.513167万15.972.01亿101.31-2.08亿-105.0504-21
2024 09-30-1.33亿-141.121.54亿116.5310.83亿817.00-9752万-73.603014万22.751.57亿118.23-1.84亿-138.6810-25
2024 06-30-3.34亿-1030.41.68亿50.187.99亿239.35-3.89亿-116.342916万8.7321.12亿33.55-1.15亿-34.5008-26
2024 03-312.18亿1.7631.05亿48.144.70亿215.371.19亿54.442273万10.428406万38.55-735.0万-3.37104-21
2023 12-312.12亿369.484.51亿213.2115.53亿734.23-1.37亿-64.94963.2万4.5541.49亿70.22-1.02亿-48.3204-21
2023 09-303.22亿293.623676万11.419.10亿282.444.00亿124.241239万3.8451.22亿37.85-1.18亿-36.7010-23
2023 06-30-2955万91.691.42亿480.607.37亿2495.7-1301万-44.02477.2万16.156778万229.40-1.62亿-548.6908-26
2023 03-312.14亿-54.652.04亿95.324.71亿219.771693万7.900128.2万0.5983436万16.04-576.4万-2.69004-22
2022 12-31-7850万-110.421.81亿231.119.11亿1160.8-1.38亿-175.562782万35.441.67亿212.67-1.25亿-159.6904-22
2022 09-30-1.66亿-117.792.27亿136.677.05亿423.36-2.80亿-168.171842万11.071.48亿89.12-1.19亿-71.6610-26
2022 06-30-3.56亿-171.401.74亿48.804.65亿130.62-4.01亿-112.621617万4.5481.17亿32.81-1.31亿-36.7508-26
2022 03-314.72亿67.079474万20.052.41亿51.063.82亿80.831584万3.3539393万19.88-412.7万-0.87304-20
2021 12-317.54亿5584.72.94亿39.008.87亿117.70-7.89亿-104.66843.8万1.1207707万10.2312.51亿165.9704-20
2021 09-309.36亿24472982.29亿24.456.43亿68.68-5.76亿-61.60454.5万0.4866094万6.51212.85亿137.3210-19
"} {"image_path": "images/cd745d5e325c6eb8a2e022c4f9e425a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CategoryBasisRateCost \\$
Parts959.67
Body Labor2.6hrs @\\$ 50.00/hr130.00
Paint Labor4.2hrs @\\$ 50.00/hr210.00
Mechanical Labor1.4hrs @\\$ 90.00/hr126.00
Paint Supplies4.2hrs \\$ 36.00/hr151.20
Subtotal1576.87
Sales Tax\\$ 1110.87 @5.3000%58.88
Total Cost of Repairs1635.75
Total Adjustments0.00
Net Cost of Repairs1635.75
"} {"image_path": "images/e531ea8f1489a8d2fdca24538cfd6c23.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产行次年初数期末数资产行次
流动资产流动负债
货币资金1短期借款46
短期投资2应付票据47
应收票据3应付帐款48
应收帐款4预收帐款49
减:坏帐准备5其他应收款50
应收帐款净额6应付工资51
预付帐款7应付福利款52
其他应收款8未交税金53
存货9未付利润54
待转其他业务支出10其他未交款55
待摊费用11预提费用56
待处理流动资产净损失12一年内到期的长期负债57
一年内到期的长期债券投资13其他流动负债58
其他流动资产14
流动资产合计20
长期投资:流动负债合计65
长期投资21
固定投资:长期负债:
固定资产原价24长期借款66
减:累计折旧25应付债卷67
固定资产净值26长期应付款68
固定资产清理27其他长期负债75
在建工程28长期负债合计76
待处理固定资产净损失29
固定资产合计35所有者权益:
无形及递延资产:实收资本78
无形资产36资本公积79
递延资产37盈余公积80
无形及递延资产合计40未分配利润81
其他长期资产:所有者权益合计85
其他长期资产41
资产总计45负债及所有者权益总计90
"} {"image_path": "images/4aeff88504264e247415bbcaf82257ba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
商品名稱單價數量小計
① 樓上-泰國芒果乾
8011003993802
578456
② 樓上-泰國原味脆榴蓮
8011654798871
624248
③ 樓上-芝麻魚肉條
8645163100479
455225
④ 樓上-柴魚芝麻樱花蝦
6415647103473
786468
⑤ 樓上-韓國玄米紫菜條
3654789144567
383114
⑥ 樓上-精選臘腸200g
6541154789771
3615540
"} {"image_path": "images/36ea179a8d9f70109121e017083e13f6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ABCDEFGHIJK
1财务日报表
2门店:000白马一期报表日期:202×年09月30日单位:元
3项目今日数本月累计项目今日数本月累计
4今日销售总额今日回笼资金
51现金收款 商品销售2221828420今日销售-会员业务-实收金额301828197
62会员(储值卡)销售21客户购买代金券现金金额
74欠款销售2796987522其他代收款
86代金券销售(赠送的)23今日回笼资金合计301828197
98商收金额201020今日库存现金
109销售合计30382917924昨日 库存现金
111025今日 回笼资金
12预留区26今日 现金上缴
1311会员卡现金销售27今日库存现金金额
1412会员卡刷卡销售POS机帐户余额
151328昨日 POS机账户余额
1629今日 新增POS机刷卡
171530今日POS机账户转账汇款
181631今日 POS机账户余额
19备注:使用代金券20元
2017
2118
"} {"image_path": "images/ae0fa5e40b1d18df5f16626c3bddddd4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品
项目
单位A产品B产品C产品D产品E产品F产品G产品H产品K产品M产品
预算毛利率%4.20%4.20%4.20%4.20%4.20%4.20%4.20%4.20%4.20%5.74%
实际毛利率%1.50%3.85%12.00%7.82%15.50%1.60%2.00%14.00%10.00%6.50%
增减比例%-2.70%-0.35%7.80%3.62%11.30%-2.60%-2.20%9.80%5.80%0.76%
上年售价元/吨105818775135431187684221057133773104662072611338
实际售价元/吨95228600145201586585221047533850114552115012320
增减幅度元/吨-1059-1759773989100-9677989424982
"} {"image_path": "images/e2838f36160ce254d76af9c9a3a224c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目行次上期累计额本期发生额
一、营业总收入120,395.8221,330.80
其中:营业收入220,395.8221,330.80
其中:关联收入3841.12879.71
内部关联收入41,765.432,234.34
二、营业总成本521,198.5421,006.33
其中:营业成本619,780.3519,864.48
税金及附加74.292.86
销售费用8924.47664.71
管理费用9481.14454.82
研发费用100.000.00
财务费用118.2819.46
其中:利息费用1243.3325.71
利息收入1345.466.88
加:其他收益140.000.00
投资收益150.000.00
其中:对联营企业和合营企业的投资收益160.000.00
以摊余成本计量的金融资产终止确认收益170.000.00
净敞口套期收益(损失以“-”号填列)180.000.00
公允价值变动收益(损失以“-”号填列)190.000.00
信用减值损失(损失以“-”号填列)20-317.02-382.65
资产减值损失(损失以“-”号填列)210.000.00
资产处置收益(损失以“-”号填列)220.000.00
三、营业利润(亏损以“-”号填列)23-1,119.74-58.19
加:营业外收入240.802.25
减:营业外支出257.090.00
四、利润总额(亏损总额以“-”号填列)26-1,126.03-55.94
减:所得税费用27-282.98-18.11
五、净利润(净亏损以“-”号填列)28-843.05-37.83
其中:被合并方在合并前实现的净利润290.000.00
归属于母公司所有者的净利润30-843.05-37.83
少数股东损益310.000.00
扣非后归属母公司净利润320.000.00
六、每股收益:330.000.00
(一)基本每股收益340.000.00
(二)稀释每股收益350.000.00
"} {"image_path": "images/fce2b49c0e764717a5d91dc806edd7c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编制单位:AA企业 2$ \\underline{\\text{0xx年12}} $月$ \\underline{\\text{止}\\qquad} $
资产行次年初数期末数负债和股东权益
流动资产:流动负债:
货币资金15,635,559.664,861,585.08短期借款
短期投资2100,000.00150,000.00应付票据
应收票据3应付账款
应收股利4预收账款
应收利息5应付工资
应收账款61,030,275.60911,322.00应付福利费
其他应收款718,000.0020,000.00应付股利
预付账款8应交税金
应收补贴款9其他应交款
存货1018,000.00923,260.98其他应付款
待摊费用1118,000.0025,000.00预提费用
一年内到期的长期债权投资21预计负债
其他流动资产24一年内到期的长期负债
流动资产合计316,819,835.266,891,168.06其他流动负债
长期投资:
长期股权投资32500,000.00流动负债合计
长期债权投资34长期负债:
长期投资合计38500,000.00长期借款
固定资产:应付债券
固定资产原价3925,800,000.0025,950,000.00长期应付款
减:累计折旧403,441,197.703,849,491.36专项应付款
固定资产净值4122,358,802.3022,100,508.64其他长期负债
减:固定资产减值准备42长期负债合计
固定资产净额4322,358,802.3022,100,508.64递延税项:
工程物资44递延税款贷项
在建工程45负债合计
固定资产清理46
固定资产合计5022,358,802.3022,100,508.64股东权益:
无形资产及其他资产:股本
无形资产51减:已归还投资
长期待摊费用52股本净额
其他长期资产53资本公积
无形资产及其他资产合计60盈余公积
其中:法定公益金
递延税项:未分配利润
递延税款借项61股东权益合计
资产总计6729,178,637.5629,491,676.70负债及股东权益总计
"} {"image_path": "images/c7211b75ae3cf1e5df56e38e0b858d4f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类型派出检查组数量检查人次(人次)检查处数(处)查出问题隐患(个)整改情况数量(个)
未整改正在整改已完成已落实措施落实责任人
全市行业检查
其中:市级检查
合计
"} {"image_path": "images/18ea9b12ae732ef5413ca22ae31823e7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
保险公司****恒安标准复星保德信招商仁和长城人寿光大永明大家养老
保险产品固收型年金天花板幸福到老长寿2.0 增额红利星海慧选 增额红利养多多7号 现金领取明爱金彩 3.0 增额红利光明慧选(超越版) 现金领取鑫佑所享(三元星) 增额红利
测算条件30岁男性,一次性交100万元,选择60岁开始领取
每年确定115,00069,16190,26090,10090,00082,00088,200
年龄预期部分每年领取(实现率100%)
60岁115000127,625134,770657,111139,634475,450118,324
61岁230000257,670271,510771,482281,473574,290237,955
62岁345000390,181410,240885,134425,558672,640358,900
63岁460000525,205550,990998,058571,933770,500481,164
64岁575000662,790693,7901,110,248720,640867,860604,754
65岁690000802,984838,6701,221,698871,725964,720729,676
66岁805000945,837985,6601,332,4051,025,2321,061,070855,935
67岁9200001,091,3991,134,7901,442,3641,181,2071,156,910983,536
68岁10350001,239,7221,286,0901,551,5751,339,6951,252,2401,112,484
69岁11500001,390,8581,439,6001,660,0371,500,7411,347,0601,242,782
70岁12650001,544,8601,595,3501,767,7511,664,3911,441,3701,374,436
71岁13800001,701,7831,753,3801,874,7211,830,6901,535,1701,507,449
72岁14950001,861,6821,913,7201,980,9551,999,6801,628,4701,641,826
73岁16100002,024,6142,076,4102,086,4522,171,4051,721,2701,777,568
74岁17250002,190,6362,241,4902,191,2112,345,9051,813,5701,914,681
75岁18400002,359,8072,409,0002,295,2362,523,2201,905,3802,053,165
76岁19550002,532,1862,578,9802,398,5342,703,3911,996,7102,193,023
77岁20700002,707,8342,751,4802,501,1162,886,4552,087,5602,334,254
78岁21850002,886,8132,926,5402,603,0003,072,4532,177,9502,476,858
79岁23000003,069,1863,104,2002,704,2063,261,4252,267,9002,620,832
80岁24150003,255,0183,284,5002,804,7593,453,4152,357,4202,766,173
81岁25300003,444,3743,467,4902,904,6873,648,4692,446,5402,912,880
82岁26450003,637,3213,653,2103,004,0163,846,6392,535,2803,060,950
83岁27600003,833,9273,841,7003,102,7754,047,9802,623,6603,210,382
84岁28750004,034,2624,033,0103,200,9924,252,5542,711,7103,361,175
85岁29900004,238,3974,227,1803,298,6924,460,4252,799,4503,513,330
90岁35650005,318,6385,242,6103,780,2355,552,0013,314,6804,294,625
95岁41400006,505,2806,337,1504,251,9596,739,4863,739,1705,110,724
100岁57150007,808,8007,518,0804,716,0488,039,9364,158,4505,963,555
IRR
60岁2.31%2.76%2.44%2.77%2.56%2.11%2.45%
70岁2.57%1.25%3.15%3.25%1.46%2.68%3.08%
80岁2.84%2.98%3.60%3.55%3.15%2.99%3.16%
90岁3.12%3.78%3.95%3.78%3.91%3.13%3.59%
100岁3.54%4.22%4.18%3.92%4.32%3.41%3.80%
"} {"image_path": "images/50ca30dca55d1534db0ae69d1502fef0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
商品条码/名称数量单价小计
清柠口味脉动
6902538004045
13.603.60
农夫山泉550ml装饮用
6921168509256
11.50
雪碧澈柠汽水500ml
6928804014044
12.50
红牛维生素功能饮料
6920202888883
25.0010.
统一香爆红椒牛肉面
6925303714093
13.803.80
可比克香辣味薯片
6911988006530
13.203.20
统一红油爆椒牛肉面11
6925303714017
13.803.80
康师傅香爆脆干脆面蜜
6920152413111
20.501.00
顶味鲜烤鸭脖20g
6930613701626
61.006.00
上好佳鲜虾片
6909409012024
12.802.80
喜之郎果冻爽苹果味20
6926475205747
12.002.00
云岭米锅巴原味208g
6940139622329
12.502.50
"} {"image_path": "images/6053f5cede330066be443f0b73398bb0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DenominationShipboard instrumentation cableLength1000m
Type and SizeCHJ86/SC $ 1\\times2\\times1.0mm^{2} $Product Date2013-10-15
Performance standardsIEC60092-350-376Test Date2013-10-15
Test itemUintTechnical requirementTest resultIndividual conclusion
Conductor structureDiametermm0.43N
NumberRoot$ \\geq 7 $7P
InsulationThickness avemm$ \\geq 0.5 $0.6P
Thickness minmm$ \\geq 0.45 $0.47P
Outer sheathThickness avemm$ \\geq 1.0 $1.1P
Thickness minmm$ \\geq 0.75 $0.97P
Outside diametermm7.5 ~ 9.27.9P
Surface markerClear and fastness to rubbingpassP
D.C. resistance of conductor ($ +20^{\\circ}C $)$ \\Omega/km $$ \\leq 19.3 $18.2P
Insulation resistance Constant ($ +20^{\\circ}C $)$ M\\Omega\\cdot km $$ \\geq 3670 $8520P
A.C. Voltage test1.5kV/5minpassP
ConclusionThe sample is in accordance with the standards of IEC60092-370-376, Qualified testing project.
"} {"image_path": "images/4f4416feb012b1c5f24720341a8a9ba8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
零售价数量节省金额
6921555522905 今麦郎一袋半麻辣
2.503.0000.007.50
2902475馒头(
0.505.0000.002.50
2900832散鸡蛋(
7.361.5350.0011.30
2900845黄瓜(
5.960.4200.002.50
2900992架豆王(
13.760.3710.005.10
2901036小青菜(
10.960.2010.002.20
2900845黄瓜(
5.960.5030.003.00
2900857西葫芦(
5.960.6710.004.00
2900942莲花白(
5.161.3950.007.20
2902976精品莲花白(
5.960.5870.003.50
2902978红洋葱(
7.160.5030.003.60
4特大购物袋(
0.401.0000.000.40
现金21.70
品种: 6数量:4.66
"} {"image_path": "images/7d0d084ff3afda46f168d18c2260eb6c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
本月收入金额¥478,042.00本月成本金额¥274,337.00本月利润¥203,705.00
时间主营收入营业成本费用
主菜系酒水饮料小吃类其他收入总计分类付款时间金额备注
7/114606516595547721203营业房租7/212000.00
7/26400467334931511737物管费7/31200.00
7/3131112479118655017326水费7/4887.00
7/47619372458138212306电费7/5932.00
7/58207327073021812425燃料费7/6883.00
7/611991221747425514937维修费7/7943.00
7/7399043408413849555车用费7/8750.00
7/8433633468275849093业务招待费7/9759.00
7/912268392560131817112福利费7/10353.00
7/1011840291899336416115办公费7/11792.00
7/1113508510562925319495公司运营支持费7/12589.00
7/1210232468668738315988广告推广费用7/13940.00
7/1312477491662250318518营业成本费用总计¥21,028.00
7/1416137345540337820373人员工资费用
7/154247598557157911382服务员人数工资总计工资
7/1668255454104643313758厨师756000.008000.00
7/175994353756625510352收银员28000.004000.00
7/1816311548892842523152服务员3096000.003200.00
7/19383039755535628920管理人员432000.008000.00
7/209137506586230015364后勤人员714000.002000.00
7/2116439574444157223196人员工资费用总计¥206,000.00
7/22161513325103352321032食材费用
7/239519255738220412662分类明细金额备注
7/24145664124111347020273猪肉4066.00
7/2515924345631227219964牛肉3275.00
7/2616688252534921419776鸡肉5651.00
"} {"image_path": "images/575f83b6ef88e4247044a0e55e92e22e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
QTYPRODUCT DESCRIPTIONPRICETOTAL
5Lorem Ipsum Dolor\\$50.00\\$250.00
1Pellentesque id neque ligula\\$10.00\\$10.00
3Interdum et malesuada fames\\$25.00$75.00
2Vivamus volutpat faucibus\\$40.00\\$80.00
Subtotal\\$415.00
Tax Rate0.00%
TOTAL\\$415.00
"} {"image_path": "images/316fcc52838c898b0dda48feedc29cc8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
保单年度年龄年末当期保费保证利益现金价值红利利益现金价值预期年化单利备注
141100,00031,30032,064前5年
强制储蓄
交清保费
242100,00088,60091,572
343100,000170,900177,617
444100,000278,200290,296
545100,000408,400427,599
646不再交费445,500472,2425年后拥有终身复利增长个人账户
747482,900517,6480.71%
848520,800564,0112.13%
949533,200585,3842.44%不要的话
随时退保
拿钱走人
支持部分领取
剩额继续增值
1050545,800607,4912.69%
1151558,900630,6562.90%
1252572,200654,5573.09%
1353585,900679,5283.26%
1454599,900705,3773.42%第7年超保费增值至51.8万
第20年增值至88.5万
第30年增值至129.7万
第40年增值至190.2万
第50年增值至278.8万
第60年增值至408.6万
1555614,400732,3963.58%
1656629,200760,3343.72%
1757644,500789,5863.86%
1858660,300820,1064.00%
1959676,600851,8254.14%
2060693,300884,8864.28%
2161710,700919,4054.41%
2262728,400955,2574.55%
2363746,700992,5294.69%
2464765,3001,031,2284.83%
2565784,5001,071,4094.97%
2666804,1001,113,2135.11%
"} {"image_path": "images/fe3112ab78d7b632111654a69cf497b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
特征总人群病例组对照组P值
年龄(岁) Mean±SD23.5±17.123.4±17.023.6±17.20.899
年龄(岁) Mean (SD)23.5(17.1)23.4(17.0)23.6(17.2)0.899
甲胎蛋白 M(IQR)12.3(5.2)13.5(4.8)11.5(6.5)0.263
甲胎蛋白 M($ Q_{25} $,$ Q_{75} $)12.3(3.2,6.7)13.5(3.0,7.2)11.5(3.2,5.9)0.263
性别(n, %)
男性8595(46.1)1639(46.2)7156(46.1)0.989
女性10072(53.9)1679(53.8)8363(53.9)
疾病历史(n, %)
糖尿病2106(12.3)458(14.7)1648(10.6)<0.001
胆结石714(5.2)234(7.5)480(3.1)<0.001
健康生活方式(n, %)
健康运动1550(9.2)325(9.5)1235(8.9)0.125
健康饮食3456(19.9)633(20.3)2889(19.3)0.188
"} {"image_path": "images/e7917bf2b8f7053b9f44f8979920e33d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ITEM DESCRIPTIONUNIT RETAIL PRICEQTYNET AMOUNT
PINK GOLD LOVE BRACELET 19CM
Ref: B6835619 Serial No: ABTS29
47,100.00147,100.00
ENVIRONMENTAL LEVY
Ref: ZPVCFBAG
1.0011.00
PAYMENT: CUP47101.00TOTAL247,101.00
"} {"image_path": "images/ddb8bdba078ad21f98e616fe37daa9d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
摘要会计科目借方金额贷方金额记账√
总账科目明细科目亿亿
提现库存现金人民币520131400
提现银行存款中行520520131400
提现库存现金人民币1000000
提现银行存款中行5201000000
提现库存现金人民币1200000
提现银行存款中行5201200000
提现库存现金人民币2000000
提现银行存款中行5202000000
提现库存现金人民币3000000
附件4张合计527331400524331400
"} {"image_path": "images/8b51fb9fe3de01d4330a36ef7cf64c58.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称数量单价小计
1.藕0.73.502.45
2.四季豆18.508.50
3.胡萝卜0.742.501.85
4.红菜苔1.6412.203.61
5.本地辣椒0.365.001.80
6.黄金条45.0020.00
7.本地特色长包炒菜麻花25.0010.00
8.无码商品11.001.00
9.双汇台式烤肠102.5025.00
"} {"image_path": "images/b567b9081ed330103a4d3495dde0f92c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
摘要对方科目借或贷金额
总账科目明细科目
将现金存入银行银行存款交通银行北京分行20653
合计¥20653
"} {"image_path": "images/64c1a12882cd5283ba5ab2ec5d74a3cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品名数量单价小计
超大号购物袋
10
20.51.00
玉美鱿鱼味虾条1$ \\ast $20
2000122100532
116.8016.80
好丽友蛋黄派6P13Eg
6920907800210
110.9010.90
奥利奥夹心饼干草莓味116g
6901668005731
16.006.00
核桃花生
2204483005905
0.29819.805.90
螺丝椒
2209561002302
0.3217.162.30
卫龙风味香辣海带400g
6935284415957
119.8019.80
甘源蟹黄味瓜子味75g
6940188803618
13.803.80
小米椒
2200202003009
0.16218.563.00
喜之郎什锦果肉200g
6902934990362
13.503.50
喜之郎什锦果肉200g
000362
13.503.50
"} {"image_path": "images/11e2431d9593a8b3347a4d75be484d6b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地区社会融资 规模增量
Aggregate financing to the real economy(flow) by province
其中:
Of which:
人民币贷款
RMB
外币贷款(折合人民币)
Foreign currency-denominated loans (RMB
委托贷款
Entrusted loans
信托贷款
Trust loans
未贴现银行承兑汇票
Undiscounted bankers' acceptances
企业债券
Net financing of corporate bonds
非金融企业境内股票融资
Equity financing on the domestic stock market by non-financial enterprises
北京 Beijing35054353-34532727164-3135781
天津 Tianjin21651943185-7259271-29127
河北 Hebei4532366823291570-43220691
山西 Shanxi22011271291011929741050
内蒙古 Inner Mongolia14891502087-95-76-8979
辽宁 Liaoning24142000-43-290239-5899
吉林 Jilin111774201775-6434102
黑龙江 Heilongjiang1406893-44-3302206-710
上海 Shanghai74524932464531475380-325347
江苏 Jiangsu104677095289637540966312405
浙江 Zhejiang68364856-98425772616649
安徽 Anhui398824982204538338167125
福建 Fujian34332461-5872578332-228179
江西 Jiangxi2928230026241348-27-3921
山东 Shandong59973622301314522955-314393
河南 Henan44533304237165210406-4446
湖北 Hubei4529313737358716-11423478
湖南 Hunan3927280022161173312116255
广东 Guangdong100678454-356183544504-339611
广西 Guangxi21891510131970455-242
海南 Hainan260480-140-1630291516
重庆 Chongqing18861934-10150-67-249-8246
四川 Sichuan3625321835312168-473-46124
贵州 Guizhou19371423825318233-195
云南 Yunnan20351502-1021229113-4311
西藏 Tibet5884870151449212
陕西 Shaanxi32061969-232241127132-2864
甘肃 Gansu17101201563482-93-3317
青海 Qinghai80244911536637-820
宁夏 Ningxia412440-2230-49-2212
新疆 Xinjiang20481236-83418019259102
"} {"image_path": "images/c157ca0c4cffd20d8828816be72239a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
摘要总账科目明细科目借方金额贷方金额核对
亿亿
支付税控盘管理费用开办费17699
支付税控盘应交税费应交增值税-进项税额2301
支付维修费管理费用开办费28000
库存现金48000
合计4800048000
"} {"image_path": "images/d1aada63d98d7bc750eba428002a3735.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
版本号KJ35D121.SM:VER1.0
执行标准号GB4706.1-2005 GB4706.14-2008
"} {"image_path": "images/f83e71e0085d9db9b52e26eae26456c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ReferenceTimeDebitCredit
5506626502:132,790,971
55066291Mao Qianmin #2115=>Mao Qianmir 10:185,581,941
5509537702:222,777,222
55095412Mao Qianmin #2115=>Mao Qianmir 10:185,554,444
110:188,249,173
011074201811Room# 2111 : CHECK# 01107423:10453,750
"} {"image_path": "images/5487cdd35422f998f0a0b44b0e042324.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
故障可能的原因解决对策
指示灯不亮电源插头未插好插好电源插头,如果指示灯仍不亮,请送当地售后服务点维修
灯线故障
不加热发热管坏/温控器坏送当地售后服务点维修
水开不停止加热机器故障送当地售后服务点维修
水未开停止加热壶底水垢太厚清洁水垢
机器故障送当地售后服务点维修
水烧开后严重喷水,水烧不开或水开后长时间不停止机器记录沸点与使用地区沸点不一致按重置沸点操作步骤,对机器重置沸点,若仍有异常,请送当地售后服务点维修
显示屏显示 E1温度传感器开路断开电源重新上电,如果显示屏仍显示异常,请送当地售后服务点维修
显示屏显示 E2温度传感器短路
"} {"image_path": "images/758f199f5138ab835b814adecd456101.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
摘要会计科目借方金额贷方金额
总账科目明细科目
购进商品库存商品5KVA单相变压器1,000.00
10KVA三相变压器1,500.00
20KVA三相变压器2,000.00
应交税费应交增值税(进项税额)508.55
银行存款深圳商行-3030(是写购方账号吧)5,008.55
5,008.555,008.55
"} {"image_path": "images/b2ce3c00e59e48af207e02e90476df52.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FilterFlow RateInitial Filter ResistanceMaximum Allowable Percent LeakageInitial Percent LeakageMaximum Percent LeakageResult
18511.15.000.0620.170PASS
28510.95.000.1030.149PASS
38511.15.000.0940.140PASS
48511.15.000.4470.540PASS
58512.75.000.0990.160PASS
68512.75.000.1000.138PASS
78512.25.000.1060.170PASS
88511.25.000.1140.166PASS
98511.85.000.1060.156PASS
108511.85.000.1090.167PASS
118512.25.000.0890.137PASS
128512.25.000.1220.172PASS
138512.65.000.2190.360PASS
1485115.000.2090.319PASS
158513.75.000.1060.148PASS
168512.45.000.1180.174PASS
178510.95.000.0860.146PASS
188510.95.000.1300.214PASS
198511.25.000.1260.181PASS
208510.85.000.1040.165PASS
"} {"image_path": "images/67dbf7f6c38d5de6f5bc66327ebcf620.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分组营业收入利润率每百元营 业收入中的成本每百元营业收中的费用每百元资产实现的营业收入人均营 业收入资产负债率产成品存货周转天数应收账款平均回收期
1-10月 (%)1-10月 (元)1-10月 (元)10月末 (元)10月末 (万元/ 人)10月末 (%)10月末 (天)10月末 (天)
总计6.2484.847.9190.5178.756.818.254.6
其中:采矿业24.9460.918.5954.4159.756.311.840.3
制造业5.3385.658.08104.7172.856.020.155.8
电力、热力、燃气及水生产和供应业4.5090.925.6544.3320.260.90.950.8
其中:国有控股企业7.5782.406.3865.9287.357.411.943.2
其中:股份制企业6.0284.938.0188.6177.457.718.452.0
外商及港澳台商投资企业7.0684.807.9897.7179.853.218.667.7
其中:私营企业4.5986.958.28121.5142.258.820.552.3
"} {"image_path": "images/03929b48df4d4c89bd5a138da625a966.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DescriptionUnit PriceQtyDiscTotal (HKG)
The Cure Hydro-Gel Toner 200ml650.00 1650.00
Oxygen Finishing Mask 75ml400.001400.00
Diamond White Lotion 150ml 750.001750.00
The Cure Cream 5ml Deluxe0.0010.00
The Cure Pure Essence 3ml Deluxe0.0010.00
Diamond Body Cream 10ml Sachet0.0010.00
"} {"image_path": "images/a5fae4a0405ef207116e46cc8d2936dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
商品品名数量单价小计
1.318g怡派手工薄脆 697047837028516.906.90
2.怡派手工夹心饼干 697047837020916.906.90
3.足之洲A-08拖鞋 692576078208619.909.90
4.超亿名仕真空保温杯 6942375380230178.0078.00
5.厨家宝带盖味盅12CM 6945640100441314.0042.00
6.中号塑料袋 10019110.200.20
"} {"image_path": "images/9d93eac5d60d43b2079bed967dc75c3e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BenefitMax LimitTotal Amount (RM)Payable Amount (RM)Non-Payable Amount (RM)
R&B Days180 YEARLY008.000.00
R&B150.00 DAILY1,016.001,016.000.00
HOSPITAL SUPPLIES AND SERVICES, 20,408.6519,872.83535.82
SURGICAL EXPENSES,5,757.505,757.500.00
OPERATING ROOM FEES,2,193.072,193.070.00
ITEM NOT PAYABLE,161.530.00161.53
TOTAL29,536.7528,839.40697.35
"} {"image_path": "images/e2e686146ffe78fe2c4db1bbfbc2b67b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TypeNameAmount Received
EFTPOS Manual\\$65.00
Total Amount Received \\$65.00
BALANCE OUTSTANDING \\$0.00
"} {"image_path": "images/529cf334214a823fb6de82f3702d34dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
汉族裕固族
$ \\beta $95% CIP$ \\beta $95% CIP
性别 (ref=女性)0.000.00
男性8.79(7.32, 10.26)<0.00018.37(6.14, 10.60)<0.0001
年龄(岁) (ref=20-29)0.000.00
30-390.09(-1.78, 1.95)0.92772.82(0.16, 5.47)0.0376
40-492.72(0.99, 4.46)0.00214.48(1.96, 7.00)0.0005
50-596.13(4.34, 7.92)<0.00015.34(2.63, 8.05)0.0001
60-808.35(6.36, 10.35)<0.00019.62(6.40, 12.85)<0.0001
BMI(kg/m²) (ref=<24.0)0.000.00
24.0-27.95.08(4.14, 6.03)<0.00015.16(3.65, 6.66)<0.0001
≥28.08.97(7.32, 10.62)<0.00018.84(6.82, 10.85)<0.0001
高血压家族史 (ref=无)0.000.00
1.63(0.73, 2.52)0.0004-0.08(-1.51, 1.34)0.9069
城乡 (ref=城市)0.000.00
农村-0.42(-1.59, 0.76)0.4879-0.20(-1.92, 1.52)0.8163
教育程度 (ref=高)0.000.00
1.60(0.46, 2.74)0.00610.53(-1.73, 2.80)0.6437
2.57(0.97, 4.16)0.00160.95(-1.54, 3.44)0.4552
吸烟 (ref=从不吸烟)0.000.00
已戒烟-3.36(-5.39, -1.34)0.0011-1.49(-4.53, 1.55)0.3369
现在吸烟-3.66(-5.19, -2.14)<0.0001-2.00(-4.21, 0.22)0.0773
饮酒 (ref=从不饮酒)0.000.00
已戒酒-1.02(-2.72, 0.69)0.2421-2.56(-4.99, -0.12)0.0395
现在饮酒-0.19(-1.27, 0.88)0.72670.74(-1.01, 2.49)0.4067
体力活动 (ref=轻)0.000.00
0.29(-0.95, 1.53)0.64360.48(-1.93, 2.90)0.6947
-0.20(-1.91, 1.51)0.81490.84(-1.86, 3.54)0.5403
"} {"image_path": "images/9ea9b7f720c75bdc693937f5e518bf55.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
黑糖碧根果仁13.80$ \\times $113.80
明治酸奶清甜原味9.90$ \\times $19.90
"} {"image_path": "images/cc447f48d1e064d1c61f426e2e6bc3f0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年级序号书名版别
七年级1初中同步练习册 语文(七年级上)(配统编版)北京师大
2初中同步练习册 数学(七年级上)(配青岛版)泰山出版
3初中同步练习册 英语(七年级上)(配外研版)山东友谊
4初中 道德与法治学习实践手册(七年级上)(配统编版)山东人民
5初中同步练习册 历史(七年级上)(配统编版)人民教育
6初中同步练习册 地理(七年级上)(配湘教版)湖南教育
7初中同步练习册 生物学(七年级上)(配人教版)山东友谊
8初中 历史地图册(七年级上)(配统编版)地质出版
9初中 历史填充图册(七年级上)(配统编版)星球地图
10初中 地理填充图册(七年级上)(配湘教版)山东科技
11初中实验探究报告册 生物学(七年级上)(配人教版)人民教育
八年级12初中同步练习册 语文(八年级上)(配统编版)北京师大
13初中同步练习册 数学(八年级上)(配青岛版)泰山出版
14初中同步练习册 英语(八年级上)(配外研版)山东友谊
15初中 道德与法治学习实践手册(八年级上)(配统编版)山东人民
16初中同步练习册 历史(八年级上)(配统编版)人民教育
17初中同步练习册 地理(八年级上)(配湘教版)湖南教育
18初中同步练习册 物理(八年级上)(配人教版)山东科技
19初中同步练习册 生物学(八年级上)(配人教版)山东友谊
20初中 历史地图册(八年级上)(配统编版)地质出版
21初中 历史填充图册(八年级上)(配统编版)星球地图
22初中 地理填充图册(八年级上)(配湘教版)山东科技
23初中实验探究报告册 生物学(八年级上)(配人教版)人民教育
24初中实验探究报告册 物理(八年级上)(配人教版)济南出版
25(CJ)初中总复习手册 生物学山东人民
26(CJ)初中总复习手册 地理山东科技
九年级27初中同步练习册 语文(九年级上)(配统编版)北京师大
28初中同步练习册 数学(九年级上)(配青岛版)泰山出版
29初中同步练习册 英语(九年级上)(配外研版)山东友谊
30初中 道德与法治学习实践手册(九年级上)(配统编版)山东人民
31初中同步练习册 历史(九年级上)(配统编版)人民教育
32初中同步练习册 物理(九年级全一册)(配人教版)山东科技
33初中同步练习册 化学(九年级上)(配鲁教版)山东教育
34初中 历史地图册(九年级上)(配统编版)地质出版
35初中 历史填充图册(九年级上)(配统编版)星球地图
36初中实验探究报告册 物理(九年级全一册)(配人教版)济南出版
37初中实验探究报告册 化学(九年级上)(配鲁教版)山东科技
38(CJ)初中总复习手册 道德与法治山东科技
39(CJ)初中总复习手册 语文泰山出版
40(CJ)初中总复习手册 数学山东科技
41(CJ)初中总复习手册 英语北京教育
42(CJ)初中总复习手册 历史山东画报
43(CJ)初中总复习手册 物理山东教育
44(CJ)初中总复习手册 化学北京教育
"} {"image_path": "images/22cb97b17dfc50f33468e16d27d8a346.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
xlsxABCDEFG
1舍得2022年年报主要财务指标
2项目2022年2021年同比增幅2020年2019年2018年
3营收(亿)60.5649.6921.86%27.0426.5022.12
4酒类营收(亿)56.5645.7723.58%23.5022.8818.50
5营业成本(亿)13.4911.0222.36%6.536.316.06
6销售费用(亿)10.168.7616.04%5.375.746.10
7销售费用占营收比16.78%17.63%19.86%21.66%27.58%
8管理费用(亿)5.876.03-2.67%3.403.622.71
9财务费用(亿)-0.40-0.20-102.09%0.070.140.00
10净利润(亿)17.0112.716.075.383.73
11上市公司股东净利润(亿)16.8512.4635.31%5.815.083.42
12分红(亿)5.002.660.830.660.34
13分红占利润比(%)29.67%21.35%14.29%12.99%9.94%
14上市公司股东扣非净利润(亿)16.2512.1134.25%5.485.072.95
15销售商品、提供劳务收到的现金(亿)60.1460.0231.7529.3527.28
16经营现金流净额(亿)10.4122.29-53.29%9.976.684.43
17总资产(亿)97.9880.9321.06%64.5457.7748.42
18净资产(亿)63.2947.9432.03%35.8030.3825.16
19中高档酒营收(亿)48.7738.7425.88%21.2922.0217.89
20中高档酒营业成本(亿)6.834.9238.72%2.923.513.25
21中高档酒毛利率86.00%87.30%86.29%84.05%81.85%
22低档酒营收(亿)7.807.0310.92%2.210.850.60
23低档酒营业成本(亿)3.983.5312.77%1.290.620.45
24低档酒毛利率48.96%49.80%41.67%27.08%24.92%
25省外营收(亿)40.4529.9528.12%16.5616.5813.88
26省外营收占酒类营收比71.50%65.44%70.47%72.47%75.03%
27直销营收(亿)3.954.02-1.78%1.750.740.37
28批发营收(亿)52.6141.7521.7522.1318.13
29舍得系列产量(千升)2022年没划分
舍得与沱牌产
10454.536005.235442.964740.43
30沱牌系列产量(千升)32264.8212035.357036.136548.89
31总产量(千升)40858.0142719.35-4.36%18040.5812479.0911289.32
32中高档产量(千升)(舍得、沱牌天曲)15035.1214527.963.49%8759.569175.437575.49
33低档产量(千升)(沱牌大曲)25822.8928191.39-8.40%9281.023303.663714.06
34舍得系列销量(千升)2022年没划分
舍得与沱牌销
8053.955031.305450.324794.02
35沱牌系列销量(千升)31081.8110643.827209.027203.98
36总销量(千升)41377.0639135.765.73%15675.1212659.3411998.00
37中高档销量(千升)14931.5911558.0529.19%7015.649260.117941.09
38低档销量(千升)26445.4727577.71-4.11%8659.483399.234056.84
39舍得系列库存量(千升)2022年没划分
舍得与沱牌库
存量
4261.711861.13887.20894.54
40沱牌系列库存量(千升)4705.143522.132130.602303.60
41总库存量(千升)8447.808966.855383.263017.803198.14
42基酒库存(千升)132721.48132935.39131524.88130301.71
43批发销量(千升)39655.837602.9315070.4312399.3311879.29
44电商销量(千升)1721.261532.83604.69260.01118.72
45货币资金(亿)24.4819.7313.4816.019.12
46交易性金融资产(亿)13.0814.16
47短期借款(亿)0.004.468.406.64
48预收账款(亿)0.090.030.022.532.47
49合同负债(亿)2.986.58-54.80%3.68
50其他流动负债(亿)0.431.050.48
51应收票据(亿)0.300.521.46
52应收账款(亿)2.191.511.861.391.35
53应收款项融资(亿)0.751.432.89
54
55
"} {"image_path": "images/5d19ac0c600419e7477ac00311954f47.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编号市级部门(单位)新闻发言人(第一、第二)新闻发布工作机构联系人及联系电话
姓名职务姓名职务联系电话
21市政府办公室第一李振蛟市政府副秘书长、
办公室主任
朱阳秘书科科长(0830)3191762
22第二刘中贵办公室副主任
23市政协办公室第一刘鹏飞秘书长宋国楷学习文史委
主任
(0830)2588026
24第二高长万副秘书长周雪梅信息中心工作员(0830)2588026
25市委组织部第一宋勇常务副部长何敏莉机关党委书记、
办公室主任
(0830)3191903
26市委宣传部第一唐一常务副部长万中顺外宣科科长(0830)3190252
27第二张涌副部长、市委外宣办
(市政府新闻办) 主任
28市委统战部第一韩俊平常务副部长易小飞研究室主任、
宣传科科长
(0830)3120579
29第二谭斌副部长李湘玉工作员(0830)3120579
30市委政法委第一邹毅常务副书记王姜燕宣传指导科
四级主任科员
(0830)3193007
31第二张伟副书记
"} {"image_path": "images/548cffc6d2ab08ecbf5ea3978a526a0a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
奖项项目作品名称作者指导教师所在学校
一等奖
(5件)
电脑绘画奈何桥边王天予徐恩扬福鼎市龙安中学
星河渐晓张颖徐恩扬福鼎市龙安中学
电子板报新生活新起点詹玉洁李振龙福鼎茂华学校
微视频致敬值周中的同学们陈小浩李振龙福鼎茂华学校
计算机程序设计六色绚彩窗花何子灏卓丹丹福鼎市第一中学
二等奖
(4件)
电脑绘画《烟杀》刘楚行孙世杰福鼎九中
快乐的昆虫世界吴庄磊罗成光福鼎一中
生物课本封皮设计陈维凯王宗根福鼎六中
计算机程序设计拼手速何俊乐张颖福鼎市第一中学
三等奖
(3件)
电脑绘画保护地球李倩朱金华福鼎五中
沙埕铁技欢迎您廖梦璐朱金华福鼎五中
电脑动画毛笔字柳文君李振龙福鼎茂华学校
"} {"image_path": "images/69513357537c46d5bfefd2454e1fdbb0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParticularsAmountDiscountNet Amount
1.1.1(3) Outpatient Medication963.000.00963.00
1.1.7(1) General Medical Equipment60.000.0060.00
1.1.12 Nursing and Midwifery Charges120.000.00120.00
1.1.14(2) Other Medical Service Charges(Out Patient)120.000.00120.00
1.2.1(1) First Outpatient Care Suchavadee Vichutavate,MD.650.000.00650.00
$ \\ast $Paid by cashTotal1,913.000.001,913.00
Special Discount0.00
One thousand Nice hundred Thirteen Baht only1,913.00
"} {"image_path": "images/0285b887a4b4abc67d036901961be148.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
设施名称内容
消防联动控制系统防火门及卷帘系统防火卷帘控制器、防火门监控器的工作状态和故障状态;卷帘门的工作状态,具有反馈信号的各类防火门、疏散门的工作状态和故障状态等动态信息
消防电梯消防电梯的停用和故障状态
消防应急广播消防应急广播的启动、停止和故障状态
消防应急照明和疏散指示系统消防应急照明和疏散指示系统的故障状态和应急工作状态信息
消防电源系统内各消防用电设备的供电电源和备用电源工作状态和欠压报警信息
"} {"image_path": "images/9e7061a84963cd1be89d39c45ab2a15c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分组营业收入 利润率每百元营 业 收入中的 成本每百元营 收入中的 费用每百元资 产实现的 营业收入人均营 业 收入资产负 债率产成品 存货 周转天 数应收账款 平均回 收期
2022年 (%)2022年 (元)2022年 (元)2022年末 (元)2022年末 (万元/人)2022年末 (%)2022年末 (天)2022年末 (天)
总计6.0984.728.2092.4182.756.617.652.8
其中:采矿业22.8261.909.1055.2162.856.711.439.2
制造业5.3585.408.37107.0176.555.619.554.0
电力、热力、燃气及水生产和供应业3.8391.365.9045.4330.561.10.848.6
其中:国有控股企业6.5283.016.7866.8292.157.311.440.9
其中:股份制企业5.8984.798.2890.7181.757.417.850.3
外商及港澳台商投资企业7.0184.618.2999.0182.452.918.365.6
其中:私营企业5.0086.378.47124.4146.158.419.851.2
"} {"image_path": "images/ba0c07992b58a7600eeddbde2004ca8e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
商品名称规格等级计量单位集市零售价格备注
花园菜场万济池菜场星辉菜场洪家菜场前所菜场
成品粮
早籼米二等元/500克2.202.20
晚籼米二等元/500克2.702.502.502.502.50
粳米江苏产元/500克2.302.302.402.30
面粉特一粉元/500克2.302.302.502.302.50
面粉标准粉元/500克2.102.102.002.50
食用植物油
菜籽油桶装元/5升65.0065.0070.0041.0050.00
大豆油桶装元/5升33.0033.0032.0039.0036.00
花生油一级桶装 压榨元/5升135.00135.00145.00
大豆调和油一级桶装 浸出元/5升44.0060.00
肉禽蛋
鲜猪肉精瘦肉元/500克27.0025.0026.0024.0025.00
鲜猪肉肋条肉元/500克26.0025.0025.0024.0025.00
鲜猪肉带皮后腿肉元/500克25.0021.0025.0024.0025.00
鸡肉白条鸡元/500克12.008.009.0011.0012.00
鸡蛋新鲜完整 鸡场蛋元/500克4.004.004.004.504.50
水产品
带鱼250克左右元/500克35.0030.0040.0055.0030.00
草鱼活1000克左右一条元/500克10.009.0011.009.00
鲫鱼活 350克左右一条元/500克15.0015.5015.0011.0013.00
河虾元/500克43.0038.0045.00
蔬菜类
芹菜新鲜一级元/500克5.504.505.002.503.50
大白菜新鲜一级元/500克2.502.002.501.802.00
油菜(青菜)新鲜一级元/500克3.503.003.502.003.00
黄瓜新鲜一级元/500克3.503.003.002.504.00
萝卜新鲜一级元/500克2.502.002.002.002.00
茄子新鲜一级元/500克7.006.005.004.005.50
西红柿新鲜一级元/500克4.503.004.003.004.00
土豆新鲜一级元/500克3.502.503.003.003.00
胡萝卜新鲜一级元/500克4.002.503.003.003.00
青椒新鲜一级元/500克7.006.006.005.005.00
花菜(菜花)新鲜一级元/500克6.506.006.503.005.00
洋葱(元葱)新鲜一级元/500克3.002.002.502.002.00
圆白菜新鲜一级元/500克2.001.502.502.002.00
韭菜新鲜一级元/500克4.003.004.004.00
蒜苔新鲜一级元/500克8.507.007.008.007.00
副食品
绵白糖当地主销(袋装)元/500克4.50
白砂糖当地主销(袋装)元/500克4.004.004.004.004.50
红糖当地主销(袋装)元/500克5.005.005.005.005.00
鲜牛奶当地主销(袋装)元/500克
水果
芦柑一级元/500克
苹果红富士 一级元/500克6.006.006.00
香蕉国产 一级元/500克3.002.803.50
西瓜当地主销 一级元/500克3.002.802.80
液化气YSP-15型元/罐98 (椒江正源燃气公司)
"} {"image_path": "images/673883484424a48ec49cee89e2f32d90.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
部位配电系统部件EF-ACS系统监控范围
前端变压器变压器自有温度测控系统,可直接提取输出开关量报警信号进入EF-ACS
中端配电回路据线路复杂程度及人员管理状况可全部或重点执行温度监控
配电箱(柜)可全部或重点执行温度、剩余电流及中性线断线监控
末端电动机及大型用电设备据环境及人员管理维护状况可全部或重点执行温度监控
分支回路线路太多,除剩余电流指标控可覆盖外,不宜设过多温度监控
末端用电器(包括灯具等)除剩余电流指标可覆盖外,不宜监控到小型末端电器温度
"} {"image_path": "images/53548cd33c54d6d0a997fe7ab5b036a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Test Name(s)ResultAbnReference RangeUnitsDate/Time CompletedStatus
COVID-19 Coronavirus RNA (PCR/NAAT)Negative2021-01-23 16:00:17F
NEGATIVE for COVID-19 virus (SARS-CoV-2) by NAAT.
This is a validated laboratory developed assay.
Testing performed at LifeLabs Cam Coady Building, 7455 130th St., Surrey, BC V3W 1H8
COLLECTED 22-JAN-2021
Site: Nasopharyngeal
This and the preceding tests were performed at Cam Coady Building - 7455-130th Street, Surrey, British Columbia, V3W 1H8
"} {"image_path": "images/03487815cd3ec152fdca4ce76373cf9c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
截至12月31日止年度截至4月30日止四個月
2018年2019年2020年2020年2021年
(未經審核)
(人民幣千元,百分比除外)
診斷外包服務
- 感染病診斷檢測79,88013.4%93,05213.7%555,11146.2%204,39057.3%195,52042.9%
- COVID-19檢測----461,42938.4185,26451.9165,49536.3
- 病理檢測89,88415.1100,10014.795,8528.121,1775.931,8497.0
- 遺傳病診斷檢測187,75831.4179,82526.6126,23610.536,38510.240,1078.8
- 常規診斷檢測91,75615.490,12813.380,5346.715,7834.426,8065.9
小計449,27875.3463,10568.3857,73371.5277,73577.8294,28264.6
為共建醫療機構
提供的診斷檢測服務
- 感染病診斷檢測13,0612.228,5014.2104,7098.719,3895.567,07114.7
- COVID-19檢測----64,4675.411,6613.350,69911.1
- 病理檢測25,6284.347,3797.075,9416.319,2685.434,0847.5
- 遺傳病診斷檢測48,0478.165,3399.662,3925.217,8745.024,0465.3
- 常規診斷檢測14,0752.324,8453.732,7262.77,5062.112,3212.7
小計100,81116.9166,06424.5275,76822.964,03718.0137,52230.2
為非醫療機構
提供的診斷檢測服務46.2197.848,6577.266,8195.615,0044.223,5935.2
- COVID-19檢測----21,1151.83,9551.17,3691.6
總計596,308100.0%677,826100.0%1,200,320100.0%356,776100.0%455,397100.0%
"} {"image_path": "images/6ed254016d5a7c81120686c5c33c715c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
截至12月31日止年度
2022年2023年2024年
人民幣千元%人民幣千元%人民幣千元%
收入1,688,426100.01,640,125100.01,574,471100.0
銷售成本(1,056,434)(62.6)(1,091,934)(66.6)(1,111,734)(70.6)
毛利631,99237.4548,19133.4462,73729.4
銷售及銷售費用(105,996)(6.3)(123,499)(7.5)(137,466)(8.7)
一般及行政費用(105,895)(6.3)(143,746)(8.8)(166,922)(10.6)
研發支出(246,256)(14.6)(335,607)(20.5)(405,664)(25.8)
金融資產減值(虧損)/撥回淨額(67)(0.0)2010.0(123)(0.0)
其他收入3,6760.210,7480.728,6391.8
其他收益 - 淨額82,4714.933,4152.051,3563.3
超警益收益(虧損)259,92515.3(10,297)(0.7)(167,443)(10.6)
財務收入23,8841.466,1374.040,0782.5
財務成本(375,417)(22.2)(510,433)(31.1)(553,889)(35.2)
財務成本 - 淨額(351,533)(20.8)(444,296)(27.1)(513,811)(32.7)
應佔按權益法入賬的投資(虧損)/利潤(5,134)(0.3)6,5070.44,7790.3
所得稅前虧損(96,742)(5.8)(448,086)(27.4)(676,475)(43.0)
所得稅同支(74,786)(4.4)(58,173)(3.5)(20,630)(1.3)
年內虧損(171,528)(10.2)(506,259)(30.9)(697,105)(44.3)
"} {"image_path": "images/41191d7c26e1a898403fd7f44afe8ef6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
During TE period$ ^{\\ast} $ (N = 270)Post-TE period$ ^{1} $ (N = 249)
Patients with any-grade AEs, n (%)268 (99)105 (42)
Grade ≥3213 (79)57 (23)
Grade 57 (3)5 (2)
Serious122 (45)42 (17)
Patients with most common AEs,$ ^{2} $ n (%)Any gradeGrade ≥3Any gradeGrade ≥3
Neutropenia169 (63)161 (60)21 (8)17 (7)
Anemia129 (48)101 (37)19 (8)16 (6)
Fatigue119 (44)4 (1)18 (7)1 (<1)
Cytokine release syndrome113 (42)6 (2)5 (2)1 (<1)
Nausea90 (33)4 (1)15 (6)0
Thrombocytopenia85 (31)73 (27)16 (6)10 (4)
Headache80 (30)3 (1)8 (3)1 (<1)
Decreased appetite77 (29)7 (3)10 (4)1 (<1)
Diarrhea71 (26)1 (<1)13 (5)2 (<1)
Constipation63 (23)08 (3)0
Dizziness60 (22)1 (<1)5 (2)0
Hypotension60 (22)8 (3)5 (2)0
Cough57 (21)06 (2)0
Vomiting56 (21)1 (<1)7 (3)0
Hypokalemia52 (19)6 (2)5 (2)0
Hypomagnesemia50 (19)1 (<1)5 (2)0
Abdominal pain45 (17)5 (2)6 (2)1 (<1)
Pyrexia45 (17)011 (4)0
Leukopenia44 (16)39 (14)4 (2)2 (<1)
Peripheral edema42 (16)1 (<1)6 (2)1 (<1)
Sinus tachycardia42 (16)03 (1)0
Tremor41 (15)000
Confusional state39 (14)2 (<1)4 (2)0
Hypertension37 (14)12 (4)00
Hypogammaglobulinemia$ ^{5} $37 (14)013 (5)0
Dyspnea36 (13)2 (<1)4 (2)1 (<1)
Insomnia36 (13)1 (<1)9 (4)0
Back pain33 (12)3 (1)3 (1)1 (<1)
Chills31 (11)04 (2)0
Anxiety27 (10)05 (2)0
Hypophosphatemia27 (10)16 (6)3 (1)2 (<1)
Febrile neutropenia25 (9)24 (9)10 (4)9 (4)
Myelodysplastic syndrome1 (<1)1 (<1)7 (3)7 (3)
Basal cell carcinoma1 (<1)05 (2)2 (<1)
"} {"image_path": "images/626318c8b20b9aa829f8bb326ff1ae1d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
所属系参赛项目参赛选手指导教师奖项
林学系智能能飞行器应用技术田濠嘉 黄宇同李晓迪 廉梅霞一等奖
赵志龙 王梓俊李晓迪 佘波一等奖
郝耀阳 郭家伟赵毅 郑康强二等奖
王惠 巩睿教师参赛三等奖
环境监测与检测王江伟 张慧君郭媛 武晓红二等奖
樊拯江 赵晋斐薛爱爱 郭媛三等奖
苗潋涓教师参赛二等奖
新材料智能生产与检测夏枫 智晋伟 樊宇春苗潋涓 郭媛三等奖
园林系园林景观设计与施工白恒恒 刘泽惠 杜靖钰 李佳恒李文苑 闫东一等奖
孙建英 陈艺文 曹旭晨 陈永贤周青 王凯二等奖
王丽敏 赵毅教师参赛一等奖
园艺系花艺李自培安文杰一等奖
崔晓敏宿炳林二等奖
王美宿炳林二等奖
经济贸易系会计实务吴菲菲 刘美琦 冯琬舒 王滕伟白慧霞 王文佼二等奖
顾冰溪 白羽彤 姚轩 杨晓钰王文佼 白慧霞二等奖
白慧霞 王文佼 孙睿 赵越教师参赛二等奖
直播电商郑文慧 韩雅婷 陈蕾如 张佳瑶侯银莉 齐雅琴一等奖
韩钰婷 刘姝雅 高珍 张晋荣孙婧一 杨静三等奖
侯银莉 齐雅琴教师参赛二等奖
业财税融合大数据应用史晓燕 阎柳青 杨静 覃丹教师参赛三等奖
"} {"image_path": "images/a756c6cf67d7fbc3b9d48e03c077f97a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号双绕组变压器三绕组变压器
被测绕组接地部位被测绕组接地部位
1低压外壳和高压绕组低压外壳、高压和中压绕组
2高压外壳和低压绕组中压外壳、高压和低压绕组
3高压和低压外壳高压外壳、中压和低压绕组
4高压和中压外壳和低压绕组
5高压、中压和低压外壳
"} {"image_path": "images/1516f23d27e71e8154201ac8290a9546.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableSMTControlANOVA
MSDMSDEffectF ratiodf$ \\eta^{2} $
Psychological strain
Time 10.240.300.220.29G2.821,151.02
Time 20.160.270.270.32T0.382,302.00
Time 30.160.260.260.31G $ \\times T $$ 4.64^{\\ast\\ast} $2,302.03
Emotional exhaustion
Time 12.821.472.501.25G0.321,151.00
Time 22.551.312.471.28T$ 6.59^{\\ast\\ast} $2,302.04
Time 32.361.392.431.16G $ \\times T $$ 3.89^{\\ast} $2,302.03
Depersonalization
Time 11.201.091.121.05G0.071,149.00
Time 21.131.071.251.16T0.672,302.00
Time 31.000.931.240.93G $ \\times T $$ 3.04^{\\ast} $2,302.02
"} {"image_path": "images/80ddd172f180fb136a7d230ce00f9012.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
开播时间周一至周四课外活动时间(15:55--16:15)
站长薛佳佳副站长王桃花指导老师语文老师
播报时间分 组播音员指导老师播报内容
星期一六一薛佳佳
侯腾
张娟名人轶事、名言警句、成语小故事等。
学生佳作,散文、诗歌等。
安全、卫生保健等方面的常识。
国内外新闻,校园新闻、先进事迹、好人好事等。
中间可插播音乐等。
星期二五一白慧慧
张起伟
杜梅
星期三四二朱晶晶
白星
白凤荣
星期四三一曹嘉鹏
薛佳怡
高斌
星期一六二王桃花
卫欢
张永玉
星期二五二雷院
院张嘉康
王绒
星期三四一张慧慧
罗飞
张弘
星期四三二刘林沁
胡瑞梓
白凤荣
附:依次类推 (本周 2015.12.1 星期二五一班开始播报)
1、本学期暂定播报本班的稿件,由语文老师负责审稿,播报,插播音乐等。
2、播音员要用标准的普通话播报,播音稿交指导老师审阅后方可播报。
3、站长、副站长负责开、锁广播室及播音设备的开关。
4、站长、副站长负责播报稿件的整理和存档。
"} {"image_path": "images/a1d0d904142292e414785bbb503e2770.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
调查内容1. 你的性别 □男 □女
2. 年级___年级
3. 是否买教辅 □经常 □有时 □从来不
4. 这个学期买过几本教辅 □3本以下 □5本 □5-10本 □10本以上
5. 一个学期买教辅的费用 □100元以下 □100-200元 □200-300元 □300元以上
6. 是否喜欢教辅 □是 □否
7. 教辅是否影响你的课余生活 □是 □否
8. 拿到教辅是否经常使用? □是 □否
9. 你从何处购买教辅 □学校 □书店 □地摊
10. 你购买的教辅资料印刷质量 □好 □一般 □差
11. 资料是老师推荐购买的吗? □是 □否
12. 你在校外补课吗? □是 □否
13. 在你本人授课教师那里吗? □是 □否
14. 你认为补课对你有益吗? □是 □否
15. 你是自愿补课,还是老师引荐、动员补课吗? □是 □否
16. 你是老师强制补课吗? □是 □否
17. 学校节假日补课吗? □是 □否
重点调查1. 你校哪位老师目前还在进行有偿补课? 补课地点在哪里?
2. 你校哪位老师给学生购买或指定书店变相购买教辅?
对学校管理的意见
"} {"image_path": "images/b163e592a3384c94b0f530ff4c626fc9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
treeedgecopulaparpar2tauLoglikAIC
12,3t-copula0.91$ ^{\\ast} $7.96$ ^{\\ast} $0.73414.21-824.42
(0.01)(-1.94)
1,4t-copula0.83$ ^{\\ast} $5.21$ ^{\\ast} $0.62276.43-548.87
(0.02)(-1.09)
1,2Frank copula5.95$ ^{\\ast} $0.51157.23-312.46
(0.4)
5,1Joe copula31.35$ ^{\\ast} $0.941631.53-3261.07
(0.85)
21,3;2t-copula0.16$ ^{\\ast} $10.00$ ^{\\ast} $0.107.37-10.75
(0.05)(-3.41)
2,4;1Gumbel copula1.15$ ^{\\ast} $0.1325.20-48.40
(0.04)
5,2;1Frank copula-7.81$ ^{\\ast} $-0.59219.59-437.19
(0.53)
35,3;1,2Rot.90 Clayton copula-0.03-0.020.910.19
(0.07)
5,4;2,1Survival Gumbel copula1.04$ ^{\\ast} $0.042.96-3.92
(0.03)
44,3;5,1,2Rot.270 Joe copula-1.01$ ^{\\ast} $0.0712.100-2.201
(0.03)
"} {"image_path": "images/5f2dfd80155989d9715a3b48dbbe1c06.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
回路名称使用条件采用设备
20 kV 电压侧电源进线专用电源线隔离开关或负荷开关
$ \\Pi $入母线当保护控制要求时,采用断路器;
当保护控制无要求时,采用负荷开关
T接分支断路器或负荷开关
主变高压测主变容量:干式$ \\ge $1000kV·A
油浸式$ \\ge $800kV·A
断路器
主变容量:干式$ < $1000kV·A
油浸式<800kV·A
带熔断器的负荷开关
母线分段断路器或负荷开关
电源出线
母线设备隔离开关或负荷开关
断路器或熔断器的开断性能短路开断电流$ \\ge 20kA $
关合电流(峰值)$ \\ge 50kA $
"} {"image_path": "images/ed3f86609caedd8d2342ed3d005c7128.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
物理与电子信息学院本科王祥委杜静美杨国强洪焕灼
黄雅琦张婷婷王静杨馥瑞
王翔杨葭杨福昆张丹
郭助伦杨润杨善省李巧玲
李江超余顺平刘云潘金银
张选顺赵艳婷杜华朝刘娜
吴丹李魁王大鑫刘艳
寸亚慧李华富张顶杨洪富
杨西进张悦刘起明
硕士欧建文赵帅群董霞杨继孔
信息学院本科付靖玲孙黎喻臻钰席亚林
余春梅杨雁慧冯加方张战春
李镇江伍微微陈荧珂刘俊玲
潘安宁杨杨马媛曾思遥
余诗佳杨晓雪周海红李小朋
陈元祥胡恩珍黎家发彭兴阳
杨永光黄忠建魏微陈自定
硕士冯井荣肖珺许冬冬高佳乐
化学化工学院本科方争荣李能丽李成季杨建梅
赵锦芝黄彩艳武文红苏莉
刘伍宇李继香胡义考徐素蕊
刘朝庆孟阳杨雪微施在从
秦甜甜李勇陈云鹏任明丽
"} {"image_path": "images/b393d8508dc06be6818a89d5ca8eec3a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PrednisolonePlacebo
Child age [years]
N Mdn IQR9311.13(5.17-14.01)949.44(5.09-11.84)
Child age [years], N n %
6 mo to<12 y935458.06947377.66
12 y to <18 y933941.94942122.34
Child sex, N n %
Male934548.39944547.87
Female934851.61944952.13
Ethnicity, N n %
Non-indigenous938995.70948691.49
Indigenous9344.309488.51
Child weight [kgs]
N Mdn IQR9346.20(21.50-61.00)9334.40(19.90-49.00)
Length of illness [hours]
N Mdn IQR8924.00(12.00-48.00)9124.00(10.00-36.00)
Length of illness [hours], N n %
0 to 24h923740.22934548.39
>24h to 48h923841.30933638.71
>48h to 72h921718.48931212.90
Side of the facial weakness, N n %
Left934750.54945558.51
Right934649.46943941.49
Symptoms on presentation
House-Brackmann, N n %
Non-severe (Ⅰ to Ⅳ)938591.40948186.17
Severe (Ⅴ and Ⅵ)9388.60941313.83
House-Brackmann score
N Mdn IQR933.00(3.00-4.00)944.00(3.00-4.00)
VAS score-Child
N Mdn IQR720.00(0.00-1.50)700.00(0.00-1.00)
Revised Faces Pain Scale-Child
N Mdn IQR130.00(0.00-0.00)200.00(0.00-2.00)
VAS score - Parent
N Mdn IQR780.00(0.00-1.00)830.00(0.00-1.00)
"} {"image_path": "images/9754e32e6a80dcb7c1be740f7ecfc91c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分组营业收入营业成本利润总额
金额(亿元)同比增长(%)金额(亿元)同比增长(%)金额(亿元)同比增 长(%)
总计1279226.519.41071247.119.187092.134.3
其中:采矿业57048.741.937334.025.110390.8190.7
制造业1127885.118.8947472.618.673612.231.6
电力、热力、燃气及水生产和供应业94292.615.586440.521.13089.2-41.9
其中:国有控股企业328916.221.2268761.920.322769.756.0
其中:股份制企业956007.621.0800423.720.562702.240.2
外商及港澳台商投资企业287986.214.8240623.715.122845.521.1
其中:私营企业509166.418.9436040.418.829150.427.6
"} {"image_path": "images/862b4b5cbfcf98687d81b263fce12688.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EventsSintilimab-combination (N=266)Placebo-combination (N=131)
All grade≥ Grade 3All grade≥ Grade 3
Event occurring in ≥15% patients in any group
Anemia197 (74.1)40 (15.0)103 (78.6)25 (19.1)
Decreased Neutrophil count189 (71.1)97 (36.5)82 (62.6)40 (30.5)
Decreased white blood count180 (67.7)39 (14.7)84 (64.1)20 (15.3)
Decreased platelet113 (42.5)32 (12.0)41 (31.3)16 (12.2)
Increased aspartate aminotransferase109 (41.0)1 (0.4)51 (38.9)1 (0.8)
Increased alanine aminotransferase108 (40.6)051 (38.9)4 (3.1)
Nausea108 (40.6)4 (1.5)55 (42.0)0
Decreased appetite101 (38.0)041 (31.3)1 (0.8)
Asthenia87 (32.7)2 (0.8)42 (32.1)2 (1.5)
Vomiting76 (28.6)2 (0.8)41 (31.3)0
Constipation71 (26.7)042 (32.1)0
Pyrexia55 (20.7)019 (14.5)1 (0.8)
Hypoalbuminaemia52 (19.5)022 (16.8)0
Decreased Weight22 (8.3)2 (0.8)23 (17.6)2 (1.5)
"} {"image_path": "images/43e05bf8300e7593b9d91c049ffabe03.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Hypomanic/manic symptomsBP-I groupBP-II grouppBP composite groupUnipolar grouppRR
n = 74n = 104n = 178n = 33
1. I experience delusions.77.8%21.4%0.00044.6%0.0%0.000-
2. I experience mystical events.61.1%24.3%0.00039.4%3.0%0.00013.1
3. I experience hallucinations.55.6%14.6%0.00031.4%3.0%0.00110.5
4. I show little regard for authority, which is out of character for me.66.2%50.5%0.03757.1%6.3%0.0009.1
5. I observe lots of coincidences occurring.83.6%70.3%0.04475.9%12.1%0.0006.3
6. I judge my talents and powers as amazing.76.7%61.2%0.03067.6%12.1%0.0005.6
7. I do not feel bound by everyday social etiquette.67.6%50.5%0.02457.7%12.1%0.0004.8
8. My judgment becomes impaired.90.4%0.01281.7%18.2%0.0004.5
9. I have difficulty in seeing others’ points of view.69.4%52.4%0.02459.4%15.2%0.0003.9
10. I become uncharacteristically angry with others including people with whom I am usually pleasant.75.3%55.3%0.00763.6%18.2%0.0003.5
11. I become less aware of social cues.82.4%64.1%0.00771.8%21.2%0.0003.4
12. I do not feel tired despite sleep reduction.91.9%77.5%0.01183.5%27.3%0.0003.1
13. I am quite grandiose.87.8%72.5%0.01479.0%31.3%0.0002.5
14. I feel more religious.60.8%22.3%0.00038.4%18.2%0.0252.1
15. When really angry I will say things that I would generally never say to anyone.87.8%59.2%0.00071.2%36.4%0.0002.0
16. I talk more.95.9%100.0%0.03898.3%68.8%0.0001.4
"} {"image_path": "images/1681d58ac2583a4477a1e02d0e7fbcae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelImage Generation Skill (Avg within each #I-G Group)Task CompletionLevel Score on Image
#1
#9
#2
#10
#3
#11
#4
#12
#5
#13
#6
#14
#7
#15
#8#Supported Task#Winning-SpecialistLevel-2Level-3Level-4
SoTA Specialist18.70
53.16
45.40
16.47
33.77
25.33
16.30
43.93
4.86
20.35
24.00
67.44
99.29
36.11
15.06/////
SEED-LLaMA-14B127.10
30.18
0.00
87.90
37.10
14.58
7.51
175.33
127.42
0.00
98.33
51.82
0.00
62.60
0.0035 (77.8%)0 (0.0%)26.813.490.00
Emu2-32B93.52
40.51
0.00
118.55
34.85
15.43
8.53
154.26
101.80
0.00
81.95
57.09
0.00
58.17
0.0034 (75.6%)2 (4.4%)30.905.181.25
AnyGPT158.21
28.88
0.00
108.06
40.47
14.91
10.30
193.39
117.21
0.00
115.91
53.02
0.00
64.21
0.0036 (80.0%)0 (0.0%)23.101.290.00
LaVIT-V2 (7B)79.79
46.40
0.00
89.78
31.35
15.79
11.87
161.54
149.78
0.00
59.23
50.18
0.00
51.68
0.0036 (80.0%)0 (0.0%)29.503.710.00
NExT-GPT-V1.549.71
28.19
0.00
86.45
6.00
6.53
3.91
53.42
75.71
12.45
41.20
38.98
0.00
72.72
47.3041 (91.1%)0 (0.0%)18.693.240.00
Vitron-V119.78
37.88
0.00
24.89
21.17
17.95
7.45
31.04
32.15
0.00
35.33
48.30
86.53
58.87
23.4742 (93.3%)3 (6.7%)30.137.654.59
"} {"image_path": "images/1290486b0396ec7bd87b3456349d529f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
行业公司数市值占比NO1名称NO1市值NO2名称NO2市值NO3名称NO3市值3公司占行业3公司占总市值
半导体68688159.76%NVDA(英伟达)32878AVGQ(博通)10499TSM(台积电)1042578%7.02%
半导体设备与材料3069371.02%ASML(阿斯麦)2827AMAT(应用材料1396LRCX(泛林集团)98175%0.68%
消费电子品20388975.17%AAPL(苹果)37507SONY(索尼)1305LPL(LG Display)32100%5.07%
软件 - 基础架构156528706.75%MSFT(微软)33254ORCL(甲骨文)4850ADBE(Adobe)205076%5.24%
软件 - 应用246299242.85%CRM(赛富时)3391SAP(SAP SE)2955NOW(ServiceN231329%1.13%
通讯设备5750030.69%CSCO(思科)2335MSI(摩托罗拉解785HPE(普与科技)28368%0.44%
电信服务55117711.76%TMUS(T-Mobile2692VZ(Verizon)1780T(AT&T)169652%0.80%
电脑硬件3439720.55%ANET(Arista Net1416DELL(戴尔科技)830HPQ(惠普)32465%0.34%
电子与计算机分销93030.04%SNX(新聚思)105ARW(艾睿)63NSIT(Insight Ent5072%0.03%
电子游戏与多媒体2118820.25%NTES(网易)615EA(艺电)413RBLX(Roblox)39175%0.19%
电子元器件4727010.38%APH(安费诺)888TEL(泰科电子)449GLW(康宁)41265%0.23%
科技仪器3520240.28%GRMN(佳明)414KEYS(Keysight T287FTV(Fortive)26748%0.13%
电子和软件相关行业77822509929.50%NVDA(英伟达)32878AAPL(苹果)37507MSFT(微软)3325446%13.53%
互联网内容与信息70430515.77%GOOG(谷歌-C)23427META(Meta Pla15661SPOT(Spotify Te97793%5.23%
广告代理405780.08%OMC(宏盟集团)177WPP(WPP PLC)121IPG(埃培智)11171%0.05%
广播161170.02%NXST(Nexstar M51TGNA(TEGNA)30SBGI(辛克莱广1179%0.01%
出版102660.04%PSO(培生)107NYT(纽约时报)90WLYB(约翰威立2584%0.03%
广告和出版相关136440145.92%GOOG(G谷-С)23427META(Meta Pla15661SPOT(Spotify T97791%5.23%
互联网零售44309344.02%AMZN(亚马逊)23917BABA(阿里巴巴2095PDD(拼多多)142089%3.58%
折扣店9131591.74%WMT(沃尔玛)7571COST(好市多)4392TGT(塔吉特)61696%1.64%
专业零售5133390.44%ORLY(奥莱利)734AZO(汽车地带)567TSCO(拖拉机供30548%0.21%
百货商店71840.03%DDS(迪拉德百货67M(梅西百货)46JWN(诺德斯特3883%0.02%
杂货商店128130.11%KR(克罗格)449SFM(Sprouts Fa148ACI(艾伯森)11387%0.09%
零售相关123484296.34%AMZN(亚马逊)23917WMT(沃尔玛)7571COST(好多市)439274%4.68%
娱乐5490870.29%NFLX(奈飞)3928DIS(迪士尼)2053LYV(Live Nation31669%0.82%
旅游服务1950150.68%BKNG(Booking H1730ABAB(爱彼迎)818RCL(皇家加勒比65964%0.42%
渡假村和赌场1810410.15%LVS(金沙集团)319MGM(美高梅)108WYNN(永利度假10458%0.08%
博彩199940.13%FLUT(Flutter Ente494DKNG(DraftKing194CHDN(Churchill10079%0.10%
住宿1420730.26%MAR(万豪酒店)798HLT(希尔顿酒店616IHG(洲际酒店)20078%0.21%
休闲3110470.13%CUK(嘉年华存托305AS(亚玛芬体育)153HAS(孩之宝)8652%0.07%
奢侈品112350.03%TPR(Tapestry)147SIG(西格内特珠37CPRI(Capri Hold2589%0.03%
旅游和娱乐相关166194921.67%NFLX(奈飞)3928DIS(迪士尼)2053BKNG(Booking173040%1.01%
药品制造商 - 一般20328205.22%LLY(礼来)7491NVO(诺和诺德)4766JNJ(强生)353048%2.06%
药品制造商 - 专业和通8731960.50%ZTS(Zoetis)804HLN(Haleon)441TAK(武田制药)42752%0.22%
生物技术68387231.07%VRTX(福泰制药)1194REGN(再生元制804ARGX(argenx S36327%0.31%
医疗设备14988371.00%ABT(雅培)1967SYK(史赛克)1428BSK(波士顿科学132853%0.62%
医疗设备和用品5952110.77%ISRG(直觉外科公1922BDX(碧迪医疗)652ALC(Alcon)41657%0.39%
医疗计划1179551.29%UNH(联合健康)4790ELV(Elevance H885CI(信诺)78481%0.84%
医疗设施5420460.29%HCA(HCA医疗)795FMS(费森尤斯医139THC(泰尼特)13052%0.14%
医疗分配1216080.23%MCK(麦克森)731COR(Cencora)449CAH(卡地纳健康28691%0.19%
健康信息服务5814840.23%VEEV(Veeva Sys371GEHC(GE Healtl)371SOLV(Solventun12058%0.11%
医药零售商6940.01%WBA(沃尔格林-90HITI(High Tide)3PETS(PetMed E199%0.01%
食物分配147710.11%SYY(西思科公司)393USFD(美国食品162PFGC(Performar13890%0.09%
诊断与研究6072251.10%TMO(赛默飞世尔2015DHR(丹纳赫)1697A(安捷伦科技)39657%0.54%
"} {"image_path": "images/43afd939e22171ea659eed26981df788.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学科活动时间活动地点活动内容主持人参加对象
语文8月30日上午8:30博爱小学一年级教材分析许嫣娜一年级语文教师
中山路小学二年级教材分析高鸣鸿二年级语文教师
怡康小学三年级教材分析赵荷妹三年级语文教师
清凉小学四年级教材分析陆星梅四年级语文教师
广化小学四楼演播厅五年级教材分析徐彤五年级语文教师
觅渡桥小学六年级教材分析汤海燕六年级语文教师
数学8月30日上午8:30区教研室二楼教室三年级教材分析蒋玉琴三年级数学教师
广化小学活动一室五年级教材分析叶舟五年级数学教师
8月31日上午8:30区教研室二楼教室一年级教材分析张姝一年级数学教师
广化小学四楼演播厅二年级教材分析朱新颜二年级数学教师
广化小学活动一室四年级教材分析郭新华四年级数学教师
中山路小学六年级教材分析(全天)楚平六年级数学教师
英语8月30日上午8:30解放路小学阶梯教室3A教材分析张惠芬三年级英语教师
8月30日下午1:304A教材分析薛红四年级英语教师
8月31日上午8:305A教材分析王美华五年级英语教师
8月31日下午1:306A教材分析梁小红六年级英语教师
音乐8月30日上午8:30五中1、小学音乐教师会议
2、小学六年级教材培训
方建新小学音乐教师
体育8月28日上午8:00二中校园集体舞培训区中小学每校体育、音乐教师各1名
8月30日上午8:30田家炳中学教研组建设专家报告体育学科教研组长
8月30日下午2:00区教研室新学期体育工作会议陈宝生体育学科教研组长
美术8月31日上午8:30实小小学美术教研活动周士明
张展
小学美术教师
"} {"image_path": "images/d43af2794bae98ff2a92a97c1bca42f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
校区团支部选手姓名
南海校区09级行政管理团支部王晶晶梁湘梅陈敏杨雪非
大学城校区09级管理科学团支部陈清炯
10级行政管理团支部陈木春黄科盛李雯欣梁丽平
王灵杰孙祥龙林子淇李火生
10级管理科学团支部谭嘉欣黄佳秀黄泽鹏梁艺俊
何凯迪黄俊源冯泳龙吴美洁
10级教育管理团支部谢思洁李雪芬余宛思刘月
杨亚峰温瑾吴伟珍彭安娜
11级第一团支部黄远华邓文东林国浩张嘉俊
陈艳文李玲李彤罗咪咪
11级第二团支部庄铿裕李佳俊彭曼曼陈洋
李林鸿左雨鹭邱媛婧黄慧婷
11级第三团支部邓秋萍邱明丽黄国琼周舒玲
邵芷玲陈纯彭曼曼伍晓敏
11级第四团支部章茂娜陈楚云廖孖丽梁文
陆海欣阳小容许晓雯虎秋璇
"} {"image_path": "images/07e17244530fa4d17d30a5988f8ff571.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
截至12月31日止年度截至3月31日止三個月
2021年2022年2023年2023年2024年
人民幣佔收人民幣佔收入人民幣佔收入人民幣佔收入人民幣佔收入
千元入%千元%千元%千元%千元%
(未經審計)
收入466,181100.0549,215100.0573,137100.0129,232100.0132,053100.0
銷售成本(301,848)(64.7)(363,814)(66.2)(394,135)(68.8)(90,740)(70.2)(82,535)(62.5)
毛利164,33335.3185,40133.8179,00231.238,49229.849,51837.5
銷售開支(179,334)(38.5)(184,679)(33.6)(150,207)(26.3)(40,581)(31.4)(24,350)(18.4)
行政開支(266,894)(57.3)(289,115)(52.6)(268,913)(46.9)(52,696)(40.8)(135,294)(102.5)
研發開支(190,843)(40.9)(208,177)(37.9)(169,191)(29.5)(52,739)(40.8)(27,159)(20.6)
金融及合約資產減值
虧損淨额(4,230)(0.9)(3,292)(0.6)(8,402)(1.5)(1,994)(1.5)(1,051)(0.8)
無形資產減值虧損淨额(54,089)(11.6)(22,382)(4.1)(9,572)(1.7)(9,572)(7.4)--
其他收入14,2773.120,5613.719,4193.48,9106.99,1877.0
其他收益/(虧損)淨额11,1462.458,89910.711,2772.0(6,756)(5.2)2,4551.9
"} {"image_path": "images/145a2b9e94274ad4205c9b27ea76fed2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间计划周一周二周三周四周五周末
16:30-17:30户外活动平衡车、脚踏车、滑板车、球类任选
附近公园娱乐设施
①爬山、踏青、公园等接触大自然
②超市购物
③游乐场
④短途旅行
⑤动物园
⑥一起做家务
⑦DIY手工
……
17:30-19:00放松+晚饭时间
玩玩具、适当看15—20分钟动画片、参与家务小能手环节和爸爸妈妈互动
19:00-20:00语文拼音识字游戏古诗词看图写话日常口语表达
数学数感锻炼数字积木六巧板简单口算百数表
英语字母韵律儿歌RAZ阅读自然拼读RAZ阅读
每天选择1-2项完成
20:00-21:00洗漱、娱乐休闲时间(玩玩具、积木乐高等等)
21:00-21:30亲子阅读(读绘本、讲故事、交流谈心)
22:00前上床睡觉
"} {"image_path": "images/d3566e5f3a60c27911f24f810f39be68.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学号姓名性别职务安排管理员安排(教室、包干区)卫生值H安排
1费烽添班长科学课代表分餐管理员包干区打扫
2干佳超学习委员数学课代表分餐管理员包丁区打扫
3吴焕寰劳动委员学习组长垃圾箱(桶)专
4王琰副班长体育委员(兼学校文阴岗)校牌刷卡管理员包丁区打扫
5方俊杰纪律监督委员违纪记载员包干区打扫
6楼东海安全委员学习组长饮水机管理员教室打扫
7张思键代理班主任副班长副体活委员(学习总组长)科学课代表路队管理员教室打扫
8姚意伦纪律委员助理K)秋组学表组织督察员教室打扫
9戴少非学习组长活动管理员包干区打扫
10陈志伟包干区打扫
11吴文斐学习组长组织督察员包干区打扫
12熊天华零食管理员包干区打扫
13陆欣浩教室打扫
14李思聪包干区打扫
15王益锋体育委员助理书包管理员包干区打扫
16林佳涛班长助理自行车管理员
17汪晨枫卫生保洁管理员
18何旭辉教室打扫
"} {"image_path": "images/14f9e73bd851d69cb4bc3079626b9629.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组长
(兼中排拖地)
教室卫生
擦黑板
倒垃圾
位置扫地排桌椅拖地整理卫生工具、多媒体
一组
安仲翔
宋泽宇北排张皓 焦梦丹吴建霖纪文杰
李东峰
汉文仪
中排胡婷婷 井水涵费越
南排张航硕 林子怡张欣宇
二组
高梓峻
王启翔北排杜菲 曹卫萍高硕张峻铭
焦俊杰
胡馨予
中排郑琦 胡正昊张怡然
南排邸鑫浩 刘淼赵晨宇
三组
刘国栋
王硕北排汉轩宇董鑫宇邢耀文
姚辉
李雨菲
中排惠梓琦 崔艺厉一洁
南排丁方妍 潘震张力壬
四组
郭航
郑博文北排别相宇 许韶倩厉一筱张昊
孟桐
卜贞妤
中排王海霞 孔彗名赵安静
南排任志航 张文靖司佳鑫
五组
张少宇
尹耀萱北排尹德豪 于佳怡刘洪宇李泽宇
商祥钟
姜可欣
中排赵安静 庞子豪高烽杰
南排郑雨泽 薄晓涵庄浩杰
"} {"image_path": "images/d4f038865ec922f08501d3c0b6622fd5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesComplete Cohort (n=372)Age 70-79 (n=223)$ Age\\geq80 (n=149) $
HR (95% CI)p valueHR (95% CI)p valueHR (95% CI)p value
Real world PFS
Age1.03 (0.99-1.08)0.13----
CCI score1.07 (1.00-1.16)0.051.02 (0.93-1.13)0.651.18 (1.06-1.32)0.00
High risk IPI (vs low risk)1.85 (1.02-3.33)0.042.13 (0.98-4.65)0.051.49 (0.57-3.87)0.41
Abnormal LDH1.28 (0.87-1.88)0.151.35 (0.79-2.30)0.261.28 (0.74-2.22)0.36
BCL2 rearrangement1.41 (0.90-2.22)0.131.88 (0.97-3.63)0.061.08 (0.59-1.95)0.80
MYC rearrangement1.63 (0.92-2.90)0.091.71 (0.74-3.96)0.201.47 (0.75-2.90)0.26
Treatment Category (vs SD R-CHOP)
Reduced dose RCHOP (1L therapy)1.37 (0.84-2.24)0.211.81 (1.00-3.31)0.050.87 (0.34-2.22)0.76
Other therapies1.93 (1.24-3.03)<0.012.48 (1.47-4.18)<0.0011.26 (0.50-3.18)0.62
Real world OS
Age1.04 (0.99-1.09)0.09----
CCI score1.06 (0.99-1.15)0.081.04 (0.95-1.15)0.361.12 (0.99-1.26)0.08
High risk IPI (vs low risk)2.36 (1.17-4.760.022.51 (1.08-5.85)0.032.21 (0.50-9.79)0.29
Abnormal LDH1.11 (0.71-1.76)0.641.07 (0.54-2.13)0.841.24 (0.66-2.35)0.48
MYC rearrangement2.19 (1.06-4.54)0.042.02 (0.72-5.69)0.172.12 (0.92-4.89)0.07
Treatment Category (vs SD R-CHOP)
Reduced dose RCHOP (1L therapy)1.57 (0.91-2.730.102.13 (1.14-3.98)0.021.26 (0.40-3.98)0.69
Other therapies2.24 (1.36-3.71)<0.012.55 (1.48-4.40)<0.012.14 (0.69-6.60)0.18
"} {"image_path": "images/e9d8bc030a3597d525ed00f2d67aa0cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称选项频数百分比累计百分比
您的性别3636.0%36.0%
6464.0%100.0%
您的年龄18-24岁1212.0%12.0%
25-30岁2626.0%38.0%
31-35岁3131.0%69.0%
36-40岁2424.0%93.0%
41岁及以上77.0%100.0%
您的受教育程度高中及以下44.0%4.0%
大学专科1616.0%20.0%
大学本科6161.0%81.0%
硕士研究生及以上1919.0%100.0%
您的工作年限5年及以下3232.0%32.0%
6-10年4040.0%72.0%
11-15年1717.0%89.0%
16-20年77.0%96.0%
21年及以上44.0%100.0%
您的婚姻状况已婚7070.0%70.0%
未婚2929.0%99.0%
离异11.0%100.0%
"} {"image_path": "images/9d0ef5f2c156589894782ab92ca7148c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OverallQuartiles of Change in HDL-C (mg/dL) Quartiles
Q1 - Q3Q4
-144 to +5.4≥ +5.4 to +120.5
MeanSDMeanSDMeanSDp-Value
N17,92313,3864,537
Age in Years65.710.465.710.565.810.30.7274
Baseline HDL-C (mg/dL)55.116.356.016.552.315.2<0.0001
Follow-up HDL-C (mg/dL)55.516.052.614.664.017.0<0.0001
Change in HDL-C (mg/dL)0.49.6-3.47.311.76.3<0.0001
Change in HDL-C (%)0.7%-6.1%22.3%
Baseline LDL-C-C (mg/dL)162.339.3161.638.9164.440.2<0.0001
Follow-up LDL-C (mg/dL)96.533.896.333.797.034.30.2642
Change in LDL-C (mg/dL)-65.838.1-65.337.6-67.439.60.0013
Change in LDL-C (%)-40.6%-40.4%-41.0%
Baseline Triglycerides (mg/dL)172.580.0170.779.8177.880.5<0.0001
Follow-up Triglycerides (mg/dL)137.264.7140.065.8129.060.4<0.0001
Change in Triglycerides (mg/dL)-35.361.4-30.860.4-48.762.5<0.0001
Change in Triglycerides (%)-20.5%-18.0%-27.4%
Baseline Systolic Blood Pressure147.117.2147.017.3147.417.00.1821
Body Mass Index ($ \\text{kg/m}^{2} $)28.15.028.15.128.04.90.1459
Time on Statin (FOLLOW-UP YEARS)1.91.01.81.02.01.1<0.0001
Medication Possession $ \\text{Ratio}^{†} $0.90.20.90.21.00.20.0001
Antihypertensive Medications (Anytime)34.444.334.144.335.344.50.1389
Antihypertensive Medications (1 year prior)5.75.65.75.65.95.50.0254
"} {"image_path": "images/f2422fbc553e34013b737291519037ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
场次氛围内外景场地场景拍摄内容主要演员其他演员服化道其他
巴 布田力张棣
1合肥一中学教师办公室学校教师办公室巴布解释自己打人的原因是被骂无父无母班主任,女老师手帕、眼药水
2步行街学校大门外的街道巴布与四个伙伴骑车回家骑车学生、走路的学生现场找四辆自行车
3黄昏合肥合作化南路巴布家所在小区的周边街道巴布被混混们打,爷爷搭救病发爷爷,混混七人,保安四人七辆自行车、卡座收音机周杰伦《双截棍》
4骆岗机场机场巴布在机场接父母巴布父母旅行箱
5合肥市人民医院病房医院病房医生对巴布父母说爷爷情况不乐观巴布父母,爷爷,一名医生
6骆岗机场机场巴布父母在机场讨论请保姆照顾爷爷巴布父母皮包、1000元左右
7合肥一中学教师办公室学校教师办公室班主任要求见巴布父母班主任,王老师,两三个老师小勺舀、杯子
8合肥合作化南街道巴布与四个伙伴商量找人一名被打塑料袋、纸巾、番茄
"} {"image_path": "images/d15f2d9d82aa9ba2eb8fc6a7f6d6cf01.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableSMTControlANOVA
MSDMSDEffectF ratiodf$ \\eta^{2} $
Psychological strain
Time 10.240.300.220.29G2.821,151.02
Time 20.160.270.270.32T0.382,302.00
Time 30.160.260.260.31$ G \\times T $$ 4.64^{\\ast\\ast} $2,302.03
Emotional exhaustion
Time 12.821.472.501.25G0.321,151.00
Time 22.551.312.471.28T$ 6.59^{\\ast\\ast} $2,302.04
Time 32.361.392.431.16$ G \\times T $$ 3.89^{\\ast} $2,302.03
Depersonalization
Time 11.201.091.121.05G0.071,149.00
Time 21.131.071.251.16T0.672,302.00
Time 31.000.931.240.93$ G \\times T $$ 3.04^{\\ast} $2,302.02
"} {"image_path": "images/fc0d078d99d4e4e30bbd882a45b49cce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
施工定额预算定额概算定额概算指标投资估算指标
对象施工过程或基本工序分项工程或结构构件扩大的分项工程或扩大的结构构件单位工程建设项目、单项工程、单位工程
用途编制施工预算编制施工图预算编制扩大初步设计概算编制初步设计概算编制投资估算
项目划分最细较粗很粗
定额水平平均先进平均
定额性质生产性定额计价性定额
"} {"image_path": "images/824bcfd2fd14b109aff6037de03f829a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
First-generation
EGFR-TKI N=41(%)
Afatinib
N=43(%)
Osimertinib
N=36(%)
Chemotherapy
N=19(%)
p
Age (years)59.95±9.9761.27±9.9866.63±10.3858±11.090.009
Gender
Male18(43.9)18(41.9)11(30.6)15(78.9)0.007
Female23(56.1)25(58.1)25(69.4)4(21.1)
Smoking history
Yes18(43.9)17(39.5)10(27.8)13(68.4)0.036
No23(56.1)26(60.5)26(72.2)6(31.6)
Pathological type
Adenocarcinoma38(92.7)42(97.7)32(88.9)18(94.7)0.246
Squamous carcinoma1(2.4)001(5.3)
Others2(4.9)1(2.3)4(11.1)0
Stage
ⅢB-ⅢC4(9.8)7(16.3)2(5.6)2(10.5)0.528
37(90.2)36(83.7)34(94.4)17(89.5)
Central nervous metastasis
Yes2(4.9)3(7.0)5(13.9)3(15.8)0.252
No39(95.1)40(93.0)31(86.1)16(84.2)
EGFR sensitizing mutation
G719X and its complex mutation15(36.6)20(46.5)8(22.2)4(21.1)0.0001
L861Q and its complex mutation9(22.0)15(34.9)10(27.8)3(15.8)
S768I3(7.3)1(2.3)2(5.6)0
Others14(34.1)7(16.3)16(44.4)12(63.1)
"} {"image_path": "images/50ffaf46d2bd06742a11c761de5f913b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
内容建议用时完成情况备注
晨读10-15分钟站立式大声朗读;读晨读美文、大语文分级诵读等课外内容,校内晨读课文为主;英语、语文每天或每周轮换进行
复习共计10-15分钟语文回顾课本课堂笔记
数学
英语
校内作业共计20分钟学校延时服务尽量完成,建议放学回家后只做收尾检查环节
课课练20分钟/科目语文要求完成后进行自查,自查后对照答案检查,错题进行讲解,2次以上加入错题本,阶段性复习巩固
数学
英语
计算/口算10分钟每日必做!练习速度和正确率
专项练习15分钟/项根据孩子失分点进行选择,可以选择隔天进行或每3天进行1次
新课预习15-20分钟/科目语文配备学霸笔记、教材帮、随堂笔记等讲解类工具书等采用五步预习法预习
数学
英语
晚读15-30分钟兴趣阅读、精读默读为主;最少15分钟;每周2次精读,周内1次,周末1次;剩下时间兴趣阅读为主
温馨提示:
1、周内的学习重点侧重于巩固当天所学,提升难度以及做好每课的查漏补缺,及时2、发现问题并解决问题;
2、如果校内配备课课练,并且适合孩子的学习难度,建议仅增加有问题的专项练习和单元测试卷;如果校内所配课课练过于简单,可以配适合孩子成绩的课课练并从中挑选重难点题型加强练习即可;
3、课课练建议学完当前每一节课程的学习时去完成,而默写专项练习、计算口算专项练习等是在学习课内生字、计算口算方法时完成;
4、周内专项练习侧重于应用题、阅读理解、听力、默写等,用时较短的;
5、所有学习任务都要卡时间,配备时间管理器,并且根据孩子情况按月或按周进行微调,提升专注力,完成效率和正确率,培养良好学习习惯;
6、周五可以只完成晨读和校内作业,以保证周末的学习任务按时完成。
"} {"image_path": "images/ab5f65711744ac374f9e8f4d346b910d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目检验要求检验方法
1电器、连接电缆和二次回路绝缘电阻不应小于1MΩ;潮湿场所不宜小于0.5MΩ用兆欧表测量
2脱扣器整定值应按使用要求进行整定,整定值误差不得超过产品技术文件的规定用仪表测量
3检查低压电器的动作情况采用电动机操作的电器,电压在额定值85%~110%范围内应可靠工作
4运行电压下的电导电流应符合产品技术文件的规定
5电阻器和变阻器的直流电阻值应符合产品技术文件的规定
"} {"image_path": "images/ef7d7fcc52895dea2f19a3b9e0831514.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目发生脑卒中($ n=1368 $)未发生脑卒中($ n=18027 $)$ \\chi^{2} $值P值
性别
698839510.131<0.001
6709632
年龄306.509<0.001
<65岁54911525
≥65岁8196502
婚姻状态66.023<0.001
已婚97113623
分居901668
离异16251
丧偶2832379
未婚8106
居住地3.0240.387
城或镇中心区3264388
城乡或镇乡结合区1532224
农村88811382
特殊区域133
受教育程度21.074<0.001
小学及以下96411642
初中2554022
高中及中专1291938
大学及以上20425
运动强度172.863<0.001
低强度3903014
中强度4234731
高强度55510282
"} {"image_path": "images/6c9d8d71bf0a5b4a000d1383f160a1e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Co-Inv. PME minus Fund PME
VARIABLESBuyoutVenture Capital
(1)(2)(3)(4)(5)(6)(7)(8)
Previously co-invested0.2210.2040.218-0.161-0.155-0.155
(0.336)(0.335)(0.349)(0.211)(0.213)(0.211)
Fund Relationship-0.225-0.293-0.2910.378$ ^{\\ast\\ast} $0.383$ ^{\\ast} $0.328
(0.228)(0.235)(0.236)(0.192)(0.200)(0.203)
Log LP direct inv experience-0.013-0.014-0.0100.0820.096$ ^{\\ast} $0.094
(0.059)(0.059)(0.060)(0.055)(0.057)(0.058)
Relative LP Size-0.563-0.703-0.593-0.407-0.383-0.271
(0.501)(0.565)(0.610)(0.447)(0.485)(0.486)
Log Syndicate Size-0.406$ ^{\\ast\\ast} $-0.414$ ^{\\ast\\ast} $-0.391$ ^{\\ast} $-0.061-0.063-0.086
(0.172)(0.181)(0.201)(0.149)(0.152)(0.156)
Realization Status FEYesYesYesYesYesYesYesYes
Industry FENoNoNoYesNoNoNoYes
Region FENoNoNoYesNoNoNoYes
Constant0.219-1.019$ ^{\\ast\\ast} $-0.186-1.572-0.473-0.547$ ^{\\ast\\ast} $-0.785$ ^{\\ast} $2.172$ ^{\\ast\\ast\\ast} $
(0.328)(0.399)(0.509)(1.294)(0.346)(0.233)(0.460)(0.667)
Observations365365365365650651650650
R-squared0.0320.0240.0510.0700.0140.0100.0220.032
F-value on LP Type FE-0.8160.9810.726-0.5220.7020.707
Prob > |t|0.5740.4450.6500.8180.6700.666
"} {"image_path": "images/2c6be55e4cd16554c79f788e2744a3cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
模型非标准化回归系数标准化回归系数tSig共线性判断
B标准差容忍度VIF
1(常量)2.8080.21712.9460.000
性别-0.1110.19-0.052-0.5830.5600.3482.874
年龄0.0230.1630.0170.1420.8870.1855.405
学历0.1200.1370.0940.8750.3820.2374.217
工作年限-0.0680.161-0.067-0.420.6750.1079.376
2(常量)1.8920.2437.7810.000
性别-0.1710.179-0.08-0.9560.340.3472.881
年龄-0.0210.154-0.016-0.1380.890.1855.414
学历0.1340.1290.1051.040.2990.2374.218
工作年限-0.0220.152-0.022-0.1480.8820.1069.394
组织认同0.3590.0520.3416.9260.0000.9961.004
"} {"image_path": "images/676425e6eb6e16ea2ab69c2c04d9d57a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(155,62),(228,92)长玻璃管(1)导气,冷凝回流
(2)向反应器中添加液体药品
(1)操作时需佩戴防护眼镜和手套,若液体为毒性或腐蚀性物质,则需采取相应的防护措施。
(2)长玻璃管内部应洁净干燥,读取刻度时需准确水平并排除气泡干扰。
(3)移液时需确保玻璃管内外液面的压力差,并避免将液体抽入呼吸道。
(173,203),(230,274)洗气瓶除去气体中的杂质,其中广口瓶可换作大试管或锥形瓶①一般选择与杂质气体反应的试剂作吸收剂
②装入液体量不宜超过其容积的2/3
③气体的流向为A进B出,长导管进气,短导管出气
(164,288),(235,355)铁架台用于固定和支持各种仪器,一般常用于过滤、加热等实验操作①铁夹和十字夹缺口位置要向上,以便于操作和保证安全
②重物要固定在铁架台底座大面一侧,使重心落在底座内
(186,367),(201,420)试管夹用于夹持试管,给试管加热①使用时从试管的底部往上套,夹在试管的中上部或夹在距管口1/3(防止杂质落入试管)
②不要把拇指按在试管夹短柄上
③防止烧损和腐蚀
(169,448),(216,503)细口瓶用于盛放液体试剂①棕色的细口瓶用于盛装需避光保存的物质
②存放碱溶液时试剂瓶用橡皮塞,不能用玻璃寒
(172,509),(213,546)广口瓶常用于盛放固体试剂,也可用做洗气瓶内壁是磨毛的
(169,552),(216,602)滴瓶滴瓶用于盛放少量液体药品①向容器内壁加试剂时,滴管不能伸入容器内【做$ Fe(OH)_{2} $的制备实验时例外】,更不能接触容器,悬空垂直放在容器口上方(以免污染滴管),滴管管口不能伸入受滴容器(防止滴管沾上其他试剂)
②除吸同一试剂外,使用过后应立即洗净,再去吸取其它药品,严禁未清洗就吸取另一试剂,即未洗净时不能一管多用(防止试剂相互污染)
③吸取液体后,应保持胶头在上,不能倒置(以免试剂腐蚀胶头或试剂被污染),不能平放在桌面上(防止液体倒流,沾污试剂或腐蚀胶头),应插入干净的瓶中或试管内
④胶帽与玻璃管需结合紧密不漏气
⑤先排空再吸液
⑥滴瓶上的滴管与瓶配套使用,滴液后应立即插入原瓶内,不得弄脏,也不必用水冲洗
(182,617),(207,667)胶头滴管用于取用或滴加少量液体
(175,901),(213,947)坩埚钳夹持坩埚加热或往热源中取、放坩埚用坩埚钳夹取灼热的坩埚时,必须先将钳尖先预热,以免坩埚因局部冷却而破裂,用完后钳尖应向上放在桌面或石棉网上
"} {"image_path": "images/fdee57b54410851056027c8738ab5c50.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
8153
4715
15486
39
4382
2458
894716
98543
74361
"} {"image_path": "images/7246caceb7b500bca191a8387dd4ce8a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称选项频数百分比(%)累积百分比(%)
性别25053.4253.42
21846.58100.00
年龄大一15132.2632.26
大二11725.0057.26
大三10021.3778.63
大四10021.37100.00
合计468100.00100.00
"} {"image_path": "images/62f019fd786baa0e9737f2688490638b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
截至12月31日止年度
2022年2023年2024年
人民幣$人民幣$人民幣$
(人民幣千元,百分比除外)
收入······1,217,757100.01,495,817100.02,557,003100.0
銷售成本······(1,046,635)(85.9)(1,264,729)(84.6)(2,256,001)(88.2)
毛利······171,12214.1231,08815.4301,00211.8
其他收入······46,9493.930,8202.159,8842.3
根據預期信貨虧損模式已撥回(確認)減值虧損,扣除撥回(確認)······(5,400)(0.4)(14,170)(0.9)(149,945)(5.9)
其他收益及虧損······(178)(0.0)108,4317.250,8532.0
銷售開支······(109,709)(9.0)(116,838)(7.8)(148,891)(5.8)
行政開支······(250,397)(20.6)(259,797)(17.4)(370,379)(14.5)
研發成本······(277,424)(22.8)(235,440)(15.7)(207,279)(8.1)
分佔聯營公司業績······----(733)(0.0)
分佔合營企業業績······----(10)(0.0)
[]開支······----[][]
融資成本······(27,113)(2.2)(27,788)(1.9)(44,074)(1.7)
除税前虧損······(452,150)(37.0)(283,694)(19.0)(540,793)(21.1)
所得税······(3)-(67)-(27)(0.0)
年內虧損······(452,153)(37.0)(283,761)(19.0)(540,820)(21.1)
"} {"image_path": "images/9adceea9c447d819d6ad8818d4dad0d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
中文名称英文名称作用
公共信息类(PUBLIC)
逻辑节点零LLN0描述逻辑设备的公共数据,如铭牌、设备运行状况信息等
逻辑节点物理设备LPHD代表拥有逻辑节点的物理设备的公共数据,如物理设备的铭牌、设备运行状况、自检报告等。
测量类(MEASUREMENT)
电压互感器节点TVTR指出互感器技法以及变比
数据类(DATA)
电压谐波MVHA记录电能质量指标相关数值
电压频率QFVR
电压闪变MFLK
电压暂变QVTR
电压偏差QVVR
电压谐波MVHA
电压频率QFVR
电压三相不平衡度QVUB
功能类(FUNCTION)
人机接口IHMI设置监测终端数据传输频率、监测线路等
报警处理CALH设备异常报警
"} {"image_path": "images/f18a1b71b371875d9db71abd57b8a95c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
setosa(N=50)versicolor(N=50)virginica(N=50)Total(N=150)
Sepal.Length(mm)
Mean(SD)5.01(0.352)5.94(0.516)6.59(0.636)5.84(0.828)
Median[Min,Max]5.00[4.30,5.80]5.90[4.90,7.00]6.50[4.90,7.90]5.80[4.30,7.90]
Sepal.Width(mm)
Mean(SD)3.43(0.379)2.77(0.314)2.97(0.322)3.06(0.436)
Median[Min,Max]3.40[2.30,4.40]2.80[2.00,3.40]3.00[2.20,3.80]3.00[2.00,4.40]
Petal.Length
Mean(SD)1.46(0.174)4.26(0.470)5.55(0.552)3.76(1.77)
Median[Min,Max]1.50[1.00,1.90]4.35[3.00,5.10]5.55[4.50,6.90]4.35[1.00,6.90]
Petal.Width
Mean(SD)0.246(0.105)1.33(0.198)2.03(0.275)1.20(0.762)
Median[Min,Max]0.200[0.100,0.600]1.30[1.00,1.80]2.00[1.40,2.50]1.30[0.100,2.50]
"} {"image_path": "images/4aec1b6508a7575416f1b19226e5c37f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
莱文统计自由度 1自由度 2显著性
来华留学总时长基于平均值1.581198.212
基于中位数1.285198.260
基于中位数并具有调整后自由度1.285196.966.260
基于剪除后平均值1.582198.211
学习汉语总时长基于平均值1.591198.210
基于中位数.814198.369
基于中位数并具有调整后自由度.814197.839.369
基于剪除后平均值1.430198.235
汉语水平等级基于平均值2.286198.134
基于中位数1.989198.162
基于中位数并具有调整后自由度1.989185.804.162
基于剪除后平均值2.292198.133
"} {"image_path": "images/5c64287c14ee6db00544e019316968ed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电缆电压级和类型、敷设特征普通支架、吊架桥架
控制电缆明敷120200
电力电缆明敷10kV及以下,但6~10kV交联聚乙烯电缆除外150~200250
6~10kV交联聚乙烯200~250300
35kV单芯250300
35kV三芯300350
电缆敷设在槽盒中$ h+80 $$ h+100 $
"} {"image_path": "images/c29a95ff6c8152fc5a04eaab0912dc42.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 1. Multivariate logistic regression model of TE prediction in AF patients
VariableβOR95% CIfor ORp-value
Intercept-4.96<0.01
Age < 65Referent
65 to 740.822.271.443.59<0.01
≥ 750.852.331.473.70<0.01
Male gender0.021.020.741.400.92
Prior thromboembolism0.812.251.603.15<0.01
Congestive heart failure0.381.461.032.060.03
Fasting blood glucose (per 1 mmol/L)0.091.091.011.190.04
Hypertension0.211.230.831.810.30
Vascular disease0.211.240.762.020.39
Underweight (BMI < 18.5)1.113.031.466.31<0.01
Intracranial hemorrhage0.842.311.114.810.03
"} {"image_path": "images/3d6d78640dcc58f19997771dbdcab937.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MeasureUrbanRuralF(1, 294)$ \\eta^{2} $
MSDMSD
Self-esteem2.910.493.350.3568.87$ ^{\\ast\\ast\\ast} $.19
Social support4.221.505.561.2062.60$ ^{\\ast\\ast\\ast} $.17
Cognitive appraisals
Threat2.780.871.990.8856.35$ ^{\\ast\\ast\\ast} $.20
Challenge2.480.882.831.207.87$ ^{\\ast\\ast\\ast} $.03
Self-efficacy2.650.793.530.9256.35$ ^{\\ast\\ast\\ast} $.16
"} {"image_path": "images/72619bd204abdeb3844d64556f2964c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ItemEnzymatically treated SBM$ ^{2} $Bovine plasma$ ^{2} $Fermented SBM$ ^{2} $Enriched fermented SBM$ ^{2} $Fish meal$ ^{2} $Custom-made fish meal$ ^{2} $
Ingredients, %
Corn37.8941.6739.7839.5740.7740.54
Soybean meal (46.5% CP)23.7223.7223.7223.7223.7223.72
Whey powder25.0025.0025.0025.0025.0025.00
Enzymatically treated soybean meal7.00---------------
Fermented soybean meal------5.00---------
Enriched fermented soybean meal---------5.21------
Fish meal------------4.85---
Custom-made fish meal---------------5.05
Spray-dried bovine plasma---3.50------------
Corn oil3.003.003.003.003.003.00
Limestone0.810.830.760.760.510.53
Monocalcium phosphate (21% P)0.650.550.780.780.180.20
Salt0.330.130.350.350.300.30
L-Lys-HCl0.350.350.350.350.350.35
DL-Met0.230.210.230.230.210.21
L-Thr0.150.150.150.150.180.18
L-Trp0.020.020.020.020.020.02
L-Val0.080.100.080.080.130.13
Zinc oxide0.390.390.390.390.390.39
Vitamin premix$ ^{3} $0.250.250.250.250.250.25
Trace mineral premix0.150.150.150.150.150.15
Total100100100100100100
"} {"image_path": "images/c79daae6397fb95855f6d702c26603e2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SiteAnnualSummer monthsWinter months
d(‰)nd(‰)nd(‰)n
GroundCloud base$ \\Delta d $GroundCloud base$ \\Delta d $GroundCloud base$ \\Delta d $
Northern slope
Yining (N1)8.812.5-3.6909.616.1-6.5587.97.90.032
Jinghe (N2)3.216.4-13.3423.416.8-13.440-12.6-12.60.02
Kuytan (N3)10.919.5-8.64712.122.3-10.2384.34.30.09
Shihezi (N4)12.520.4-7.87410.922.2-11.35516.216.20.019
Caijiahu (N5)10.917.4-6.55810.619.1-8.53511.611.9-0.323
Urumqi (N6)16.618.3-1.77519.722.1-2.3419.19.10.034
Qitai (N7)16.020.1-4.14417.522.4-4.9299.49.8-0.415
Mountains
Wuqia (M1)14.424.9-10.56514.425.4-11.06114.414.40.04
Akqi (M2)11.217.4-6.26211.217.6-6.45911.111.10.03
Bayanbulak (M3)14.324.2-9.99614.624.9-10.2876.46.40.09
Balguntay (M4)10.314.2-3.96010.314.2-3.9600
Barkol (M5)9.414.5-5.1539.915.7-5.8345.96.3-0.519
Yiwu (M6)10.722.1-11.42310.221.9-11.72128.828.80.02
Southern slope
Aksu (S1)9.223.5-14.3399.323.9-14.6353.53.50.04
Baicheng (S2)5.922.5-16.6526.323.9-17.645-1.0-1.00.07
Kuqa (S3)7.225.1-17.8406.626.9-20.33511.811.80.05
Luntai (S4)10.622.6-12.02511.124.8-13.7247.17.10.01
Korla (S5)2.624.1-21.5221.425.8-24.31611.811.80.06
Kumux (S6)5.223.0-17.8285.526.6-21.1243.63.60.04
Dabancheng (S7)13.619.8-6.31213.520.0-6.41114.314.30.01
Turpan (S8)-8.610.0-18.721-14.417.5-31.917-0.5-0.50.04
Shisanjianfang (S9)-4.930.4-35.36-5.334.1-39.44-1.4-1.40.02
Hami (S10)4.913.3-8.418-2.917.8-20.7910.210.20.09
"} {"image_path": "images/1319532472039fe047a05ac9d64ce506.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Soil typeLoc./DepthSample size (n)$ R^{2} $MBE (%)RMSE (%)K
CS616/625
Sandy clay loam1110.8618.819.20.31
2110.5332.133.70.24
3120.5628.029.20.30
Loamy sand30cm50.994.44.90.73
61cm50.994.25.00.59
91cm50.355.66.90.42
TDT
Sandy clay loam1110.762.73.30.82
2110.830.72.30.94
3120.74-2.23.80.89
5TE
Sandy clay loam1110.632.43.50.68
2110.741.02.80.85
3120.67-1.13.70.82
Watermark
Sandy clay loam1110.8711.212.60.48
Loamy sand61cm50.8510.610.70.27
91cm50.3310.811.00.31
"} {"image_path": "images/156ce3876fbf1caaab8f2c15cc96aac3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓名性别民族出生年月照片
婚姻状况政治面貌联系电话
身份证号联系电话
学历户籍地址
毕业院校及专业现居住地址
报考职位身高军警经历退役军人▢ 警校毕业▢ 曾从事警务辅助工作▢
是否同意职位调配同意▢ 不同意☐
工作经历
学习经历
家庭
基本
情况
称谓姓名工作单位或家庭住址身份证号联系电话
父亲
母亲
配偶
子女
"} {"image_path": "images/0b1d5826ad8879c3c5cbfbefca645c00.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\underline{\\text{报告期}} $
全部
$ \\underline{\\text{每股收益(元)}} $$ \\underline{\\text{每股收益(扣除)(元)}} $营业总收入净利润$ \\underline{\\text{每股净资产(元)}}$$ \\underline{\\text{净资产收益率(%)}} $$ \\underline{\\text{每股经营现金流量(元)}} $$ \\underline{\\text{销售毛利率(%)}} $利润分配$ \\underline{\\text{首次公告日期}} $$ \\underline{\\text{最新公告日期}} $
$ \\underline{\\text{营业总收入(元)}} $$ \\underline{\\text{同比增长(%)}} $$ \\underline{\\text{季度环比增长(%)}} $$ \\underline{\\text{净利润(元)}} $$ \\underline{\\text{同比增长(%)}} $$ \\underline{\\text{季度环比增长(%)}} $
2017 06-30-0.24-0.234162万52.35--491.6万-171.65-0.906-22.88-0.172846.08不分配不转增2017 08-162018 08-15
2016 12-31-0.23-0.236835万48.21--460.9万-552.96-1.14-19.280.305752.91不分配不转增2017 04-262018 04-19
2016 06-30-0.1-0.092732万38.42--181.0万-179.25-1.1157-7.790.715645.52不分配不转增2016 08-252017 08-16
2015 12-310.070.034612万62.74-101.8万125.95-1.215.76-0.212347.37不分配不转增2017 04-262017 04-26
2015 06-30-0.01-1973万---64.80万----3.83-47.28-2016 08-252016 08-25
2014 12-31-0.39-0.322834万38.15--392.1万-3755.6-1.18-40.07-0.416937.45-2016 04-272016 04-27
2013 12-310.010.022051万--10.73万--1.02341.050.018137.25-2015 04-302015 04-30
"} {"image_path": "images/cc7b08e76848f89825d93a394010dc9f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1398102547
1194158
94311021175
453110798
117485691
416571011
7118110
389754111012
61052411178
16834
59710211836
"} {"image_path": "images/d80f72ef0eb677389eada42e8fff349f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学校是否存在自购教辅
资料(填是或 否)
年级资料名称及学科资料来源:A. 学校代购,B. 要求学生到指定书店 或地点购买学生人数购买资料人数资料单价合计金额是否与书商有 利益往 来利益金 额
___中心 初级中 学春 美术课堂作业七年级(彩色版)1171178.00936
《人民日报带你读时政 春季版》初中11711719.002223
法治教育·七年级下(四色)11711715.001755
写字课本.七年级 下册11711716.001872
自读语文阅读七年级下11711718.802199.6
《劳动教育》七年级下11711715.001755
音乐 七年级下11711710.001170
《生命至上一青少年应急能力培养》 中学生版 (7-9年级)11711716.001872
春 顺达课堂 语文 七年级下(顺达来)11711715.001755
春 顺达课堂 数学 七年级下(顺达来)11711715.001755
春 顺达课堂 英语 七年级下(顺达来)11711715.001755
春 顺达课堂 道德与法治 七年级下(顺达来)11711715.001755
春 顺达课堂 生物 七年级下(顺达来)11711715.001755
春 顺达课堂 地理 七年级下(顺达来)11711715.001755
春 顺达课堂 历史 七年级下(顺达来)11711715.001755
小计222.826067.6
春 美术课堂作业八年级(彩色版)1281288.001024
《人民日报带你读时政 春季版》初中12812819.002432
法治教育·八年级下(四色)12812815.001920
写字课本.八年级 下册12812816.002048
自读语文阅读八年级下12812818.802406.4
《劳动教育》八年级下12812815.001920
"} {"image_path": "images/f3bcfa7352ea6133e10b535f649744f1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目及权重考核标准评分细则评价办法
A1、教 学计划 与总结、 期末材 料 (10 分)B1 计划 (5 分)C1、按要求制定学科教学计 划,并按时交学校教导处。
C2、学科教学计划的内容详实、具体,符合规定要求。担任二个学科以上的教师,其主要学科须制订详细计划,其它学科视情况而定。
1、教学计划缺失扣2分,其他计划每缺1项口1分。
计划内容空洞,不规范,扣0.5分
查教师手册
B2 总结 (5 分)C3、按要求开展各学科教学总结 (计划与总结对应) 并按时交教导处。
C4、按要求及时上交各类材料。
1、总结缺失扣2分。
2、不交材料每项口1分。
A2、备课(20 分)B3 备课数量 (11 分)C5、本学科周备课时数、储备课时数达到教学常规要求;
C6、备课与教学进度一致,且符合教学计划;
C7、各种课型齐全,复习课、
1、每少备1节扣1分,储备教案达不到 次数扣1分。
2、与进度严重不一 致,扣1分。
实行月检制度,查 《教学常规检查情况记载表》。
"} {"image_path": "images/f3bcfa7352ea6133e10b535f649744f1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目及权重考核标准评分细则评价办法
A1、教学计划与总结、期末材料(10分)B1 计划
(5分)
C1、按要求制定学科教学计划,并按时交学校教导处。
C2、学科教学计划的内容详实、具体,符合规定要求。担任二个学科以上的教师,其主要学科须制订详细计划,其它学科视情况而定。
1、教学计划缺失扣2分,其他计划每缺1项口1分。
计划内容空洞,不规范,扣0.5分
查教师手册
B2 总结
(5分)
C3、按要求开展各学科教学总结(计划与总结对应)并按时交教导处。
C4、按要求及时上交各类材料。
1、总结缺失扣2分。
2、不交材料每项口1分。
A2、备课(20分)B3 备课数量
(11分)
C5、本学科周备课时数、储备课时数达到教学常规要求;
C6、备课与教学进度一致,且符合教学计划;
C7、各种课型齐全,复习课、
1、每少备1节扣1分,储备教案达不到次数扣1分。
2、与进度严重不一致,扣1分。
实行月检制度,查《教学常规检查情况记载表》。
"} {"image_path": "images/baa5164bd1899a0d219b3c6152b6dc33.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
清洁区域 小组教室楼道
擦讲桌及多媒体 设备拖地扫地扫地拖地
第一小组孟鑫孟思源殷晓红
陈宗喜
张天龙王玉蓉
第二小组田文莉高霞于锐
于超
陈坤何美娇
第三小组黄成张添张鑫涛
高丽梅
杨海钰马文婷
第四小组陈玉蓉张鹏于雅莹
公立发
张亚东邢佳雪
第五小组孟欣雨马英英孟喆
王焘
陈万鹏王丽君
第六小组王彬 荆海洋何铮 许海鹏
注:1. 教室扫地值日生除清扫当日地面外,包括擦黑板。
2. 各组第一人为当日值日生班长,除做完本职工作外,并负责检查当日清洁情况。
3. 每日拖地的值日生要负责提前透洗拖把,以便准备及时使用。
4. 第六小组值日生为每日下午放学后值日生。
"} {"image_path": "images/08de9c36c0d7fbd2fe5054b88f7f102f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产注释号期末数上年年末数负债和所有者权益注释号期末数上年年末数
流动资产:流动负债:
货币资金307,332,096.21163,622,475.31短期借款40,039,920.8429,031,762.50
交易性金融资产30,290,000.00149,000,000.00交易性金融负债
衍生金融资产衍生金融负债
应收票据应付票据46,824,214.817,593,436.38
应收账款1207,355,866.09223,864,098.66应付账款30,699,085.6218,808,269.27
应收款项融资20,287,370.574,382,145.68预收款项
预付款项6,057,170.573,904,478.73合同负债1,422,777.50626,616.49
其他应收款2111,731,030.6959,801,429.77应付职工薪酬7,429,219.338,125,903.25
存货31,304,863.5223,441,734.70应交税费4,361,150.378,041,958.03
合同资产其他应付款5,207,824.50483,264.87
持有待售资产持有待售负债
一年内到期的非流动资产一年内到期的非流动负债626,261.291,355,260.50
其他流动资产1,626,406.64110,000,000.00其他流动负债110,606.0181,460.14
流动资产合计715,984,804.29738,016,362.85流动负债合计136,721,060.2774,147,931.43
非流动负债:
长期借款
应付债券
其中:优先股
永续债
租赁负债382,957.891,671,160.21
非流动资产:长期应付款
债权投资长期应付职工薪酬
其他债权投资预计负债
长期应收款递延收益24,776,446.2820,420,873.32
长期股权投资329,000,000.0026,000,000.00递延所得税负债5,645,991.924,145,613.00
其他权益工具投资其他非流动负债
其他非流动金融资产非流动负债合计30,805,396.0926,237,646.53
投资性房地产负债合计167,526,456.36100,385,577.96
固定资产146,055,880.5292,524,771.65所有者权益(或股东权益):
在建工程110,971,941.7255,647,435.41实收资本(或股本)108,333,234.0071,898,056.00
生产性生物资产其他权益工具
油气资产其中:优先股
使用权资产1,046,350.853,022,892.89永续债
无形资产43,949,220.9941,706,826.17资本公积545,667,255.86577,158,288.36
开发支出减:库存股4,944,145.50
"} {"image_path": "images/1a111470865da43c96365d42ae155780.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesStatin use (all before matching)P-valueStatin use (PS matched)P-value
Present (n = 642)Absent (n = 2143)Present (n = 642)Absent (n = 642)
Demographics
Age65.7 ± 9.759.6 ± 12.6<0.00165.7 ± 9.764.9 ± 11.10.15
Female259 (40.3)975 (45.5)0.02250 (40.3)283 (44.1)0.18
RaceWhite389 (60.6)1387 (64.7)0.02389 (60.6)404 (62.9)0.40
African American78 (12.2)164 (7.7)78 (12.2)55 (8.6)
Hispanics66 (10.3)194 (9.1)66 (10.3)72 (11.2)
Asian49 (7.6)173 (8.1)49 (7.6)53 (8.3)
Liver disease etiology
Viral cirrhosis176 (27.4)763 (35.6)<0.001176 (27.4)199 (31.0)0.16
NAFLD228 (35.5)377 (17.6)<0.001228 (35.5)188 (29.3)0.02
Alcoholic cirrhosis154 (24.0)750 (35.0)<0.001154 (24.0)169 (26.3)0.34
Blaary cirrhosis39 (6.1)189 (8.8)0.0239 (6.1)59 (9.2)0.04
Autoimmune cirrhosis53 (8.3)210 (9.8)0.2353 (8.3)63 (9.8)0.33
Genetic30 (4.7)112 (5.2)0.5730 (4.7)35 (5.5)0.52
Cryptogenic39 (6.1)142 (6.6)0.6239 (6.1)38 (5.9)0.91
Comorbidities
Hypertension529 (82.4)1057 (49.3)<0.001529 (82.4)499 (77.7)0.04
Diabetes mellitus402 (62.6)574 (26.8)<0.001402 (62.6)339 (52.8)<0.001
Smoker48 (7.5)123 (5.7)0.1248 (7.5)44 (6.9)0.67
Obesity273 (42.5)566 (26.4)<0.001273 (42.5)258 (40.2)0.40
OSA168 (26.2)282 (13.1)<0.001168 (26.2)165 (25.7)0.85
Hyperlipidemia493 (76.8)386 (22.7)<0.001493 (76.8)469 (73.1)0.12
Coronary artery disease218 (34.0)219 (10.2)<0.001218 (34.0)152 (23.7)<0.001
Chronic kidney disease166 (25.9)242 (11.3)<0.001166 (25.9)106 (15.5)<0.001
PVD79 (12.3)252 (11.8)0.7179 (12.3)85 (13.2)0.62
Mean BMI31.0 ± 9.730.0 ± 10.50.0431.0 ± 6.931.1 14.90.86
Liver decompensation
Ascites120 (18.7)607 (28.3)<0.001120 (18.7)151 (23.5)0.03
Variceal bleed24 (3.7)109 (5.1)0.1524 (3.7)26 (4.1)0.77
Hepatic encephalopathy45 (7.0)252 (11.8)<0.00145 (7.0)66 (10.3)0.04
Hepatorenal syndrome14 (2.2)59 (2.8)0.4114 (2.2)10 (1.6)0.41
SBP19 (3.0)65 (3.0)0.9219 (3.0)17 (2.7)0.74
PVT8 (1.3)81 (3.8)<0.0018 (1.3)25 (3.9)0.002
Liver disease severity
MELDNa score119 ± 6.011.6 ± 6.10.40119 ± 6.011.1 ± 5.10.03
MELD score7.3 ± 7.27.0 ± 7.10.327.3 ± 7.26.7 ± 6.30.11
Labs
Albumin (g/dL)4.2 ± 0.64.2 ± 0.70.164.2 ± 0.64.1 ± 0.60.11
Platelet (cells $ 10^{9} $/L)198.0 ± 87.7176.2 ± 86.7<0.001198.0 ± 87.7183.2 ± 86.70.004
Total bilirubin (mg/dL)0.9 ± 1.71.3 ± 2.8<0.0010.9 ± 1.71.0 ± 1.50.42
INR1.3 ± 0.51.3 ± 0.40.781.3 ± 0.51.3 ± 0.40.20
ALT (U/L)35.1 ± 35.334.7 ± 35.50.8035.1 ± 35.334.3 ± 28.40.70
AST (U/L)38.9 ± 39.845.5 ± 93.80.0938.9 ± 39.840.6 ± 35.50.42
ALP (U/L)115.3 ± 116.1119.2 ± 135.50.52115.3 ± 116.1117.6 ± 106.30.72
Ferritin (ug/L)358.0 ± 1749.2358.1 ± 5440.99358.0 ± 1749.2299.5 ± 416.40.60
HbA1c (%)6.8 ± 1.56.1 ± 1.5<0.0016.7 ± 1.56.4 ± 1.40.005
AFP (ng/mL)5.8 ± 7.04.6 ± 5.20.345.8 ± 7.04.1 ± 2.60.15
"} {"image_path": "images/8fcc5341aaa5fcf301494400fcdcf260.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No 项目 结果 参考值 单位
1 白细胞(WBC) 2.61↓ 3.5-9.5 10^9/L RBC DISCRI
2 中性细胞数(NEUT#) 1.81 1.8-6.3 10^9/L
3 淋巴细胞数(LYMPH#) 0.61↓ 1.1-3.2 10^9/L
4 单核细胞(MONO#) 0.13 0.1-0.6 10^9/L
5 嗜酸性粒细胞(EO#) 0.04 0.02-0.52 10^9/L
6 嗜碱性粒细胞(BASO#) 0.01 0-0.06 10^9/L
7 中性细胞比率(NEUT%) 69.5 40-75 % 0 50 100 150 200fI
PLT DISCRI
8 淋巴细胞比率(LYMPH%) 23.5 20-50 %
9 单核细胞比率(MONO%) 5.1 3-10 %
10 嗜酸性粒细胞比率(EO%) 1.7 0.4-8 %
11 嗜碱性粒细胞比率(BASO%) 0.2 0-1 %
12 红细胞(RBC) 4.11 3.8-5.1 10^12/L
13 血红蛋白(HGB) 125 115-150 g/L
14 红细胞压积(HCT) 37.9 35-45 % 0 50 100 150 200 250fI
DIFF SCAT
15 红细胞平均体积(MCV) 92.1 82-100 fL
16 平均血红蛋白量(MCH) 30.4 27-34 pg
17 平均血红蛋白浓度(MCHC) 330 316-354 g/L
18 RDW-CV(RDW-CV) 14.9
19 血小板(PLT) 61↓ 125-350 10^9/L
20 平均血小板体积(MPV) 9.3 5-15 fL
21 C-反应蛋白(CRP) 5.12 0-10 mg/L
BASO SCAT
"} {"image_path": "images/234226448aefc0d03b5ce1e921e4576a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(Amounts in thousands, except per share amounts)Three Months Ended September 30,Nine Months Ended September 30,
2023202220232022
Revenue, net\\$ 492,499\\$ 383,744\\$ 1,387,441\\$ 1,065,898
Operating expenses:
Direct service costs, excluding depreciation and amortization164,364136,648473,958394,200
Reimbursed out-of-pocket expenses194,942128,062525,784354,991
Total direct costs359,306264,710999,742749,191
Selling, general and administrative41,40735,418118,83897,999
Depreciation6,3294,95117,70713,928
Amortization5498381,6492,514
Total operating expenses407,591305,9171,137,936863,632
Income from operations84,90877,827249,505202,266
Other (expense) income, net:
Miscellaneous (expense) income, net(1,602)5,649(2,198)9,027
Interest expense, net(105)(1,584)(2,332)(2,078)
Total other (expense) income, net(1,707)4,065(4,530)6,949
Income before income taxes83,20181,892244,975209,215
Income tax provision12,65115,86540,46332,517
Net income\\$ 70,550\\$ 66,027\\$ 204,512\\$ 176,698
Net income per share attributable to common shareholders:
Basic\\$ 2.30\\$ 2.13\\$ 6.65\\$ 5.39
Diluted\\$ 2.22\\$ 2.05\\$ 6.42\\$ 5.18
Weighted average common shares outstanding:
Basic30,62931,00930,72332,791
Diluted31,76232,25331,83934,098
"} {"image_path": "images/3717de60c39303e2818f3c6020a2d2f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
负责人人员安排总督查
星期一罗显雄早餐:邹卫东 李素云 王洁泉罗贵雄
中餐:袁云娥 张宏度 张人石
晚餐:胡丁华 张人石 王洁泉
晚就寝:孟涛 邹卫东 李素云
星期二王卫红早餐:邹卫东 袁云娥 李素云
中餐:张宏度 袁云娥 胡丁华
晚餐:邹卫东 张人石 袁云娥
晚就寝:孟涛 李素云 张人石
星期三曾绍斌(早、中餐)李志飞(晚、晚就寝)早餐:邹卫东 李素云 张人石
中餐:张宏度 孟涛 袁云娥
晚餐:胡丁华 张宏度 张人石
晚就寝:孟涛 张人石 王洁泉
星期四邹一贞(早、中餐)王卫红(晚、晚就寝)早餐:李素云 张人石 王洁泉袁力
中餐:胡丁华 张宏度 张人石
晚餐:张宏度 孟涛 袁云娥
晚就寝:邹卫东 李素云 王洁泉
星期五邹志权早餐:邹卫东 李素云 王洁泉
中餐:张宏度 孟涛 袁云娥
晚餐:张宏度 孟涛 胡丁华
晚就寝:孟涛 邹卫东 王洁泉
星期六李彬林早餐:邹卫东 李素云 王洁泉
中餐:胡丁华 张宏度 张人石
晚餐:张宏度 袁云娥 王洁泉
晚就寝:孟涛 邹卫东 李素云
星期日李志飞早餐:袁云娥 孟涛 王洁泉
晚餐:孟涛 王洁泉 袁云娥
"} {"image_path": "images/11d646322bc379510e32754faa67544d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Number of institutionsPercent of institutions
PrivatePrivate
Level of institution and regionTotalPublicNonprofitFor-profitTotalPublicNonprofitFor-profit
Total institutions6,6421,9731,8782,791100.0100.0100.0100.0
Total U.S. institutions6,5021,9551,8262,72197.999.197.297.5
Level of institution
4-year2,9027601,64349943.738.587.517.9
U.S.2,8367511,59748842.738.185.017.5
Other U.S. jurisdictions66946111.00.52.40.4
2-year1,93297815979529.149.68.528.5
U.S.1,90596915478228.749.18.228.0
Other U.S. jurisdictions2795130.40.50.30.5
Less-than-2-year1,808235761,49727.211.94.053.6
U.S.1,761235751,45126.511.94.052.0
Other U.S. jurisdictions4701460.70.00.11.6
Region
New England3731041541155.65.38.24.1
Mid East1,06927441538016.113.922.113.6
Great Lakes95726629239914.413.515.514.3
Plains5561881851838.49.59.96.6
Southeast1,64654139371224.827.420.925.5
Southwest70824110935810.712.25.812.8
Rocky Mountains25881421353.94.12.24.8
Far West93025523643914.012.912.615.7
U.S. service academies55000.10.30.00.0
Other U.S. jurisdictions1401852702.10.92.82.5
"} {"image_path": "images/2578e2c354c7c0f382f32a8ceb794826.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EventGrade 1Grade 2Grade 3Overall
Treatment-related adverse events40 (83.3)19 (39.6)7 (14.6)46 (95.8)
Occurring in ≥ 10% of patients
Diarrhea29 (60.4)14 (29.2)2 (4.2)45 (93.8)
Rash11 (22.9)1 (2.1)012 (25.0)
Vomiting9 (18.8)2 (4.2)011 (22.9)
Blood creatinine increased9 (18.8)01 (2.1)10 (20.8)
Blood uric acid increased10 (20.8)0010 (20.8)
Paronychitis7 (14.6)1 (2.1)1 (2.1)9 (18.8)
Anemia9 (18.8)009 (18.8)
Nausea8 (16.7)008 (16.7)
Decreased appetite7 (14.6)1 (2.1)08 (16.7)
PPE syndrome5 (10.4)005 (10.4)
Dizziness4 (8.3)1 (2.1)05 (10.4)
Cough4 (8.3)1 (2.1)05 (10.4)
Chest pain4 (8.3)1 (2.1)05 (10.4)
Back pain5 (10.4)005 (10.4)
"} {"image_path": "images/ed8829a47da14bbc1b32bc06c3ace3b0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
方差方程的Levene检验均值方程的t检验
FSig.tdfSig.
(双侧)
均值
差值
标准
误差值
差分的95%
置信区间
下限上限
骨钙素改变值假设方差相等.374.5464.98828.0005.36671.07603.16267.5708
假设方差不相等4.98824.930.0005.36671.07603.15037.5831
"} {"image_path": "images/4ccec63f8078ce2a07fdf3ceb91ac9d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
显示屏异常显示可能的原因处理方法
C1传感器超温保护断开电源,应检查操作是否正确,等待一段时间后再通电使用。若仍出现异常,请送指定售后服务点维修
E1传感器开路保护
E2传感器短路保护
E7杯子未放水干烧等待一定时间待杯子温度降低后,长按关机取消报警
"} {"image_path": "images/0c76b291ed84d84888ef81a639fae782.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学年高一(2020秋开始使用)高二(2021秋开始使用)
上学期(秋季)下学期(春季)上学期(秋季)下学期(春季)
科目版本9-11月12-1月2-4月5-6月9-11月12-1月2-4月5-6月
语文R必修上册必修下册选择性必修上册、中册、下册
数学人AR必修第一册必修第二册选择性必修第一册选择性必修第二册选择性必修第三册
英语R必修第一册必修第二册必修第三册选择性必修第一册选择性必修第二册选择性必修第三册选择性必修第四册
物理R必修第一册必修第二册必修第三册选择性必修第一册选择性必修第二册选择性必修第三册
化学R必修第一册必修第二册选择性必修1册《化学反应原理》选择性必修2册《物质结构与性质》选择性必修3册《有机化学基础》
生物ZK必修1《分子与细胞》必修2《遗传与进化》选择性必修1《稳态与调节》选择性必修2《生物与环境》选择性必修3《生物技术与工程》
政治R必修1《中国特色社会主义》必修2《经济与社会》必修3《政治与法治》必修4《哲学与文化》选择性必修1《当代国际政治与经济》
选择性必修2《法律与生活》
选择性必修3《逻辑与思维》
历史R必修上册《中外历史纲要》上必修下册《中外历史纲要》下选择性必修1国家制度与社会治理选择性必修2《经济与社会生活》选择性必修3《文化交流与传播》
地理XJ必修第一册必修第二册选择性必修1《自然地理基础》选择性必修2《区域发展》选择性必修3《资源、环境与国家安全》
备注:1、此表为标准教学进度,各校实际教学进度会有较快现象,主要是加强班、实验班会快1-2个月。
2、简单说明新教材必修是高中毕业和高考必考的,选择性必修是高考必考的。
3、黄色背景的是选择性必修1。
"} {"image_path": "images/c7fa04eba7d0e3f36711d333eb1fe4df.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1山东椒
2818117004297
4.29
2加贝鲜 深海鱿鱼麻辣味
2827526036461
36.46
3番石榴
2806045009521
9.52
4生菜
2818013002748
2.74
5大鸡腿
2815038004009
4.00
6西兰花
2818065004745
4.74
7茄瓜
2818042001958
1.95
8火锅肉丸
2820043006344
6.34
9跑山鸡蛋
280202007705
13.91
实价:11.96折让:6.21
10购物袋全新料14-7$ \\ast $24
6971618890151
0.30$ \\ast $10.30
$ \\ast\\ast $合计商品:10 份
"} {"image_path": "images/2ad9d6d07ec0e68814580a8d50d1a6e4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$HgCl_2$$HgBr_2$$HgI_2$
$\\delta~({XHgX})$${\\Sigma_{\\mathrm{u}}}^+$916148
$\\nu_{a}~(HgX)$${\\Sigma_{\\mathrm{u}}}^+$ $392~(408)^{c}$ $280~(293)^{c}$ $226~(238)^{c}$
$\\nu_{s}~(HgX)$$\\prod_{u}$$341~(353)^{c}$$212~(224)^{c}$ $153~(164)^{c}$
MeHgClMeHgBrMeHgI
$\\nu_{s}~(HgX)$$A_1$$333~(336)^d$ $230~(228)^d$$181~ (181)^d$
$\\nu_{s}~(HgC)$$A_1$$540~(554)^{d}$$531~(545)^{d}$ $522~(533)^{d}$
$\\delta_{ds}~\\left(CH_{3}\\right)$ $A_1$$1191~(1196)^{d}$$1185~(1190)^{d}$$1179~(1177)^{d}$
$\\nu_{s}~\\left({CH}_{3}\\right)$ $A_1$$2859~(2925)^{d}$$2859~(2925)^{d}$$2859~(2921)^{d}$
$\\delta~({C}-{Hg}-{X})$E $115~(135)^{d}$ $105~(121)^{d}$ $99~(112)^{d}$
$\\varrho~\\left({CH}_{3}\\right)$E $761~(805)^{d}$ $753~(798)^d$$744~(786)^{d}$
$\\delta_{{da}}~\\left({CH}_{3}\\right)$E$1414~(1415)^{d}$$1413~(1415)^{d}$$1412~(1410)^{d}$
$\\nu_{{a}}~\\left({CH}_{3}\\right)$ E$2965~(3011)^{d}$$12965~(3009)^{d}$$2965~(3008)^{d}$
$Me_2Hg$$Me_2Hg$
$\\nu_{s}~(CHg)$$A_1$$498~(515)^{e}$$\\delta_{\\mathrm{a}}~(\\mathrm{CHgC})$${E}^{\\prime}$$140~(156)^{e}$
$\\delta_{s}~\\left({CH}_{3}\\right)$ $A_1$$1156~(1182)^{e}$$\\varrho_r~\\left({CH}_{3}\\right)$${E}^{\\prime}$$740~(787)^{e}$
$\\nu_{{s}}~\\left({CH}\\right)$$A_1$$2950~(2910)^{e}$$\\delta_{\\mathrm{d}}~\\left(\\mathrm{CH}_3\\right)$${E}^{\\prime}$$1410~(1475)^{e}$
$\\tau$${A}_1{ }^{\\prime \\prime}$105(-)$\\nu~(CH)$${E}^{\\prime}$$2955~(2966)^{e}$
$\\nu_{a}~(CHg)$${A}_2{ }^{\\prime \\prime}$$532~(550)^{e}$$\\varrho_r~\\left({CH}_{3}\\right)$${E}^{\\prime \\prime}$$659~(700)^{e}$
$\\delta_{d}~\\left(CH_{3}\\right)$ ${A}_2{ }^{\\prime \\prime}$$2938~(2880)^{e}$$\\delta_{\\mathrm{d}}\\ \\left(\\mathrm{CH}_3\\right)$${E}^{\\prime \\prime}$$1408~(1443)^{e}$
$\\nu~(CH)$${A}_2{ }^{\\prime \\prime}$$2938~(2880)^e$$\\nu~(CH)$${E}^{\\prime \\prime}$$2847~(2869)^{e}$
"} {"image_path": "images/9ad2b1c791bc320bb065a49438734ddd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
单位名称(加盖公章)接力出版社有限公司价格依据文件号桂发改价格规〔2019〕1043号制表日期2022-1-12联系人及电话罗梦来 18978906552
序号年级书名出版单位纸张规格(mm)开本正文封面增值税费零售价格(含税)
纸张克重正反色数印张单价印张数正文价格纸张克重正反色数上光油封面价格
138高二暑假作业 理科数学 高二接力$ 890\\times1240 $16602+21.19344.7721574+011.0280.5226.30
139高二暑假作业 物理 高二接力$ 890\\times1240 $16602+21.19344.7721574+011.0280.5226.30
140高二暑假作业 化学 高二接力$ 890\\times1240 $16602+21.19344.7721574+011.0280.5226.30
141高二暑假作业 生物 高二接力$ 890\\times1240 $16602+21.19344.7721574+011.0280.5226.30
142语文新阅读 一年级下册接力$ 787\\times1092 $16602+20.99587.9601574+010.8530.7939.60
143语文新阅读 二年级下册接力$ 787\\times1092 $16602+20.99587.9601574+010.8530.7939.60
144语文新阅读 三年级下册接力$ 787\\times1092 $16602+20.99587.9601574+010.8530.7939.60
145语文新阅读 四年级下册接力$ 787\\times1092 $16602+20.99587.9601574+010.8530.7939.60
146语文新阅读 五年级下册接力$ 787\\times1092 $16602+20.99587.9601574+010.8530.7939.60
147语文新阅读 六年级下册接力$ 787\\times1092 $16602+20.99587.9601574+010.8530.7939.60
148小学生写字本 一年级下册(A版)接力$ 890\\times1240 $16702+21.2854.55.7831574+211.0460.6157.45
149小学生写字本 二年级下册(A版)接力$ 890\\times1240 $16702+21.2854.55.7831574+211.0460.6157.45
150小学生写字本 三年级下册(A版)接力$ 787\\times1092 $16702+21.05855.2901574+210.8720.5556.70
151小学生写字本 四年级下册(A版)接力$ 787\\times1092 $16702+21.05855.2901574+210.8720.5556.70
152小学生写字本 五年级下册(A版)接力$ 787\\times1092 $16702+21.05855.2901574+210.8720.5556.70
153小学生写字本 六年级下册(A版)接力$ 787\\times1092 $16702+21.05855.2901574+210.8720.5556.70
154语文新阅读 七年级下册接力$ 787\\times1092 $16602+20.995109.9501574+010.8530.97211.80
155语文新阅读 八年级下册接力$ 787\\times1092 $16602+20.995109.9501574+010.8530.97211.80
156语文新阅读 九年级全一册接力$ 787\\times1092 $16602+20.9951413.9301574+010.8531.33016.10
157中学生写字本 七年级下册(A版)接力$ 787\\times1092 $16702+21.0584.54.7611574+010.8530.5056.10
158中学生写字本 八年级下册(A版)接力$ 787\\times1092 $16702+21.0584.54.7611574+010.8530.5056.10
159中学生写字本 九年级全一册(A版)接力$ 787\\times1092 $16702+21.0588.58.9931574+010.8530.88610.75
160高中高中古诗文背诵篇目接力$ 890\\times1240 $16702+21.2851924.4151574+011.0282.29027.75
"} {"image_path": "images/3813dec8b7d427bb413c29a6675092a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
城市环比同比定基城市环比同比定基
上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100
北京100.4105.7108.5唐山100.099.0102.9
天津100.2100.5102.5秦皇岛99.294.896.1
石家庄100.398.099.8包头99.498.7100.4
太原99.897.195.7丹东99.299.0103.0
呼和浩特99.999.1101.1锦州100.4101.7105.6
沈阳99.6100.0102.5吉林100.0101.7103.4
大连99.3102.0105.3牡丹江99.797.495.9
长春100.0100.9101.5无锡100.2104.4107.5
哈尔滨99.395.295.0徐州99.8102.1108.4
上海100.3104.1107.5扬州99.7100.7106.3
南京100.2103.6107.0温州99.3102.5105.1
杭州100.7106.2108.0金华100.4102.4107.2
宁波100.1102.8106.2蚌埠100.2100.3103.9
合肥99.6100.1104.9安庆99.497.997.4
福州99.4101.6105.9泉州99.6101.4106.6
厦门99.7101.7105.4九江99.999.3101.9
南昌100.4100.8101.7赣州100.2101.5105.3
济南100.3104.5105.2烟台99.899.9102.9
青岛100.4103.3105.9济宁99.6101.2108.0
郑州99.399.4100.3洛阳99.5101.3102.7
武汉99.6101.5105.3平顶山99.799.7102.3
长沙100.4105.9110.1宜昌99.9100.5103.2
广州99.9103.0109.7襄阳100.299.3102.1
深圳100.8104.5106.5岳阳99.296.396.4
南宁99.9100.2103.8常德100.195.895.2
海口100.5103.0105.9韶关100.698.9100.4
重庆100.5108.1112.2湛江99.197.199.5
成都100.8102.7107.0惠州99.599.9103.9
贵阳100.299.3102.3桂林99.498.299.4
昆明99.798.1102.6北海99.596.393.5
西安100.4105.6111.2三亚99.9104.1108.6
兰州99.699.7104.3泸州99.695.695.6
西宁99.7100.4106.0南充100.195.595.6
银川100.4106.6115.2遵义100.499.3100.7
乌鲁木齐101.0102.9106.0大理99.694.494.5
"} {"image_path": "images/1e96fa666f675dd6c3403e4f519467e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CodeDescriptionTthCPTDxFeeAdjustmentInsr. Total (Est)Patient Total
09222General Anesthesia; 1st 15 minute00170K01.0\\$440.00\\$0.00\\$79.20\\$360.80
Narrative:
09612IM Inj. Antibiotic96372K01.0\\$194.00\\$0.00\\$0.00\\$113.00
Narrative:
09223ea subsequent 15 min.00170K01.0\\$440.00\\$0.00\\$0.00\\$254.00
Narrative:
09223ea subsequent 15 min.00170K01.0\\$440.00\\$0.00\\$0.00\\$254.00
Narrative:
07953Bone graft/ Ridge preservation1721127K01.0\\$792.00\\$0.00\\$0.00\\$503.00
Narrative:
07241Extraction, Difficult Compl. Bony1741899K01.0\\$770.00$0.00\\$390.40\\$122.60
Narrative:
07953Bone graft/ Ridge preservation3221127K01.0\\$792.00\\$0.00\\$0.00\\$503.00
Narrative:
07241Extraction, Difficult Compl. Bony3241899K01.0\\$770.00\\$0.00\\$410.40$102.60
Narrative:
Procedures for this Appt / Phase = 8\\$4,638.00$0.00\\$880.00\\$2,213.00
TOTAL\\$4,638.00\\$0.00\\$880.00\\$2,213.00
"} {"image_path": "images/f1a6ff6a71a42bb168d16a0a172a66fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
购买方信息名称:金管理局
统一社会信用代码/纳税人识别号:124416217080
销售方信息名称:广州刊有限公司
统一社会信用代码/纳税人识别号:91440104MABW
项目名称规格型号单位数量单价金额税率/征收率税额
∗印刷品
文选
1228228.00免税∗∗∗
∗印刷品思想1216216.00免税∗∗∗
∗印刷品学习1216216.00免税∗∗∗
∗信息化学
1426426.00免税∗∗∗
*印刷1353.6353.60免税∗∗∗
合计¥1439.60¥0.00
价税合计(大写)⊗壹仟肆佰叁拾玖圆陆角 (小写)¥1439.60
备注
"} {"image_path": "images/5322710d548936b36b778afe5f094c98.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
设备保护级别
(EPL)
电气设备防爆结构防爆形式
Ga本质安全型“ia”
浇封型“ma”
由两种独立的防爆类型组成的设备,每一种类型达到保护级别“Gb”的要求
光辐射式设备和传输系统的保护“op is”
Gb隔爆型“d”
增安型“e”$ ^{①} $
本质安全型“ib”
"} {"image_path": "images/ff348651e29f65c0676b6e8b051af21d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科目代码科目名称方向上期余额本期发生额期末余额
借方贷方
1002银行存款15000100001000015000
100201基本户15000100001000015000
1122应收账款60006000
112201上海汇付数据服务有限公司60006000
2211应付职工薪酬210004200063000
221101应付工资210004200063000
2241其他应付款1000010000
224101王杰1000010000
6602管理费用4200042000
660201工资4200042000
合计420006200062000126000
"} {"image_path": "images/43e3da4b3edc186cfff9ea9385661ebb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品名单价数量金额
6973141130360 20007944鲁花经典鸡1.801.0001.80
6926858908227 120000663香约奶茶草1.001.0001.00
6936904626593 10001964帆舟苕皮142.801.0002.80
6944747166657 110000103黄许咸鸭蛋1.801.0001.80
2703631001207 03631螺丝椒0.1201.20
2703629000601 03625二荆条椒0.0751.80
2703894003000 03894熟食特价33.001.0003.00
"} {"image_path": "images/b86146df2d71bb7b11bb1b68097fcb01.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
摘要会计科目明细科目金额记账
亿
销售墨粉1盒主营业务收入墨粉39000
合计(附件 1 张)¥39000
"} {"image_path": "images/0b203430234e6408958c0292d7956ded.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Non-TOUTOU
HeadblockTailblockOn-PeakOff-Peak
Unbundled
Jun.7.911.811.47.6
Jul.8.612.612.08.1
Bundled
Jun.20.124.126.218.9
Jul.20.624.626.519.2
"} {"image_path": "images/5650ca897127bcb8440274c2067a8a00.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
价格带2023年1月份到货
金额 / SKU数服装配件服鞋配
西装衬衣夹克长裤短裙T恤商务休闲运动帽子金额SKU数
500元以上金额1318820366799297862796114771278418873137772849995114883177
SKU 数1234814423167223115
400~499元金额175842635699901258234951497016779244651797036261393149210230
SKU 数164410185302135301847
300~399元金额1868328752109891398041941596817578265621916838851393161152248
SKU 数17481120632223832157
250~299元金额1868328752109891398041941596817578265621916838851393161152248
SKU 数1748112063222732157
200~249元金额2857443128169832097062912395226367398432875259572189243006374
SKU 数267217309483357482311
150~199元金额1758427554109891328134951546917578251641856938851393154961239
SKU 数16461119531223631157
汇总金额114296174908679328457924465978041086641614691174042408787569843641516
SKU 数10429268121351961362311969344
"} {"image_path": "images/63ffe0e96db94b122c7f258a429c23f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目2023年报2022年报2021年报2020年报2019年报
1.营业收入249.37291.70325.11258.68271.44
2.营业总成本244.26286.25294.71224.22241.51
2.1营业成本224.35264.78268.08201.20220.51
毛利率%10.03%9.23%17.54%22.22%18.76%
其中:员工成本15.9916.54
员工成本占比7.13%6.25%0.00%0.00%0.00%
人均工资(万)18.3923.13#DIV/0!#DIV/0!#DIV/0!
折旧13.8314.28
2.2管理费用11.1812.3915.7914.1311.63
管理费用比率%4.48%4.25%4.86%5.46%4.28%
2.3财务费用2.781.240.751.713.25
2.4税+销售+研发费用5.957.8410.097.186.12
3.1其他收益9.147.778.288.2410.83
3.2投资收益0.020.00-0.01-0.090.00
3.3减值损失-0.101.46-0.160.65-0.49
3.4营业外收支
4.1其他0.040.090.550.040.07
4.2所得税费用2.581.425.436.697.20
所得税率%18.27%9.73%14.31%15.48%17.91%
5.净利润11.5413.1732.5236.5333.00
净利率%4.63%4.51%10.00%14.12%12.16%
其中:普通股应占溢利10.5111.8532.5136.5333.00
永续债利息1.021.31
少数股东溢利0.010.010.010.000.00
6.1外币报表折算差额-4.45-47.31
6.2其他综合收益0.000.0010.4523.19-12.99
7.综合收益7.09-34.1442.9759.7220.01
8.经营性现金流1.5137.0827.9233.8349.56
9.人数8696.007152.00
人均利润(万元)13.2718.41#DIV/0!#DIV/0!#DIV/0!
股息0.090.100.260.300.26
股息比例%37.50%37.04%36.11%37.04%35.14%
EPS0.240.270.720.810.74
PE9.518.443.082.743.03
PB0.370.370.300.330.38
市值(2024.4.8)100.00100.00100.00100.00100.00
"} {"image_path": "images/ca139e34630d2d60b30dacf055a72bf4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TissueMean first-order elimination half-life (h) (n=4)
BaP3-OHBaP
InitialTerminalInitialTerminal
$\\text{phase}^\\text{a}$$\\text{R}^\\text{2b}$$\\text{phase}^\\text{c}$$\\text{R}^\\text{2b}$$\\text{phase}^\\text{a}$$\\text{R}^\\text{2b}$$\\text{phase}^\\text{c}$$\\text{R}^\\text{2b}$
Blood6.10.9912.50.917.30.990.970.97
Liver5.00.9914.90.9711.00.9917.80.88
Kidney4.20.9913.90.99--15.60.95
Skin5.80.9712.30.8911.70.9016.10.94
Adipose tissue$\\text{31.2}^\\text{d}$0.91--$\\text{27.0}^\\text{d}$-0.91-
Lung$\\text{31.5}^\\text{d}$0.81--$\\text{24.1}^\\text{d}$-0.96-
"} {"image_path": "images/a822a23626116f5397f21dafe6ceca87.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
私募公司基金经理展示业绩的运行产品数量收益期今年以来收益近一年收益近三年收益
东方港湾投资但斌1452024年3月19.09%34.60%负收益
黄海平12024年3月7.50%2.42%-55.86%
张万霖12024年2月5.89%负收益2.85%
戴福宏32024年3月负收益3.40%未披露
高毅资产吴任昊12024年2月6.67%2.60%负收益
卓利伟12024年2月4.79%负收益负收益
邓晓峰12024年2月2.31%负收益负收益
冯柳12024年2月0.30%负收益负收益
邱国鹭12024年2月负收益负收益负收益
和谐汇一资产赵雪12024年3月1.03%负收益未披露
袁伟12024年3月负收益9.66%未披露
施跃12024年3月负收益9.08%未披露
潘东煦12024年3月负收益未披露未披露
景林资产蒋锦志12024年2月6.15%负收益负收益
金美桥12024年2月6.15%负收益负收益
高云程52024年2月3.03%3.05%负收益
蒋彤52024年2月负收益负收益负收益
聚鸣投资陈奇32024年3月18.62%16.47%111.96%
刘晓龙72024年3月负收益负收益负收益
王文祥12024年3月负收益负收益未披露
林园投资林园2502024年3月3.34%负收益负收益
曹蔚12024年2月负收益负收益未披露
张海辉12024年2月负收益未披露未披露
宋彬彬12024年2月负收益负收益负收益
张宇林12024年2月负收益负收益负收益
马志宏162024年2月负收益负收益负收益
黄卫22024年2月负收益未披露未披露
吕晓红12024年2月负收益负收益负收益
睿郡资产王晓明122024年3月4.81%1.51%10.89%
董承非32024年3月1.42%负收益未披露
杜昌勇152024年3月负收益负收益9.22%
睿璞投资邵红慧32024年3月11.52%3.93%负收益
蔡海洪172024年3月8.42%1.52%负收益
廖振华52024年3月8.21%1.17%负收益
郑劼52024年3月7.88%5.12%负收益
盛泉恒元徐永32024年3月负收益负收益27.79%
赵忠东22024年3月负收益负收益28.69%
陆胜斌22024年3月负收益0.82%15.21%
江含宇12024年3月负收益负收益未披露
石锋资产郭锋42024年3月6.79%未披露未披露
骆佩杰42024年3月6.79%未披露未披露
崔红建22024年3月0.71%负收益负收益
"} {"image_path": "images/5b19c9dc9d2dc394e0369e1165241bf7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$BE_l^k$Relation of$BE _j^k~{ to }~BE ^k_l$
$\\upsilon _{s1}$$\\upsilon_{s2}$$TS_{t}$
$\\upsilon _{q1}$$\\upsilon_{q2}$$TS_{r}$Compatible
$\\upsilon _{q1}$$\\upsilon_{q2}$$TS_{r} - 1$Incompatible
$\\upsilon _{q1}$$\\upsilon_{q2}$$TS_r + 1$Incompatible
$\\upsilon _{q1}$$\\upsilon_{q2}$other TSincompatible
$\\upsilon _{q1}$$other \\upsilon $$TS_{r}$incompatible
$\\upsilon _{q1}$$other \\upsilon $$TS_{r} - 1$incompatible
$\\upsilon _{q1}$$other \\upsilon $$TS_{r}+1$incompatible
$\\upsilon _{q1}$$other \\upsilon $other TSirrelevant
$\\upsilon _{q2}$$\\upsilon_{q1}$$TS_{r}$incompatible
$\\upsilon _{q2}$$\\upsilon_{q1}$$TS_r - 1$incompatible
$\\upsilon _{q2}$$\\upsilon_{q1}$$TS_r + 1$ incompatible
$\\upsilon _{q2}$$\\upsilon_{q1}$other TSincompatible
$\\upsilon _{q2}$$other \\upsilon $$TS_{r}$incompatible
$\\upsilon _{q2}$$other \\upsilon $$TS_r - 1 $incompatible
$\\upsilon _{q2}$$other \\upsilon $$TS_r + 1$irrelevant
$\\upsilon _{q2}$$other \\upsilon $other TSirrelevant
$other \\upsilon $$\\upsilon_{q1}$$TS_{r}$incompatible
$other \\upsilon $$\\upsilon_{q1}$$TS_r - 1$irrelevant
$other \\upsilon $$\\upsilon_{q1}$$TS_r + 1$incompatible
$other \\upsilon $$\\upsilon_{q1}$other TSirrelevant
$other \\upsilon $$\\upsilon_{q2}$$TS_{r}$incompatible
$other \\upsilon $$\\upsilon_{q2}$$TS_r - 1$incompatible
$other \\upsilon $$\\upsilon_{q2}$$TS_r + 1$incompatible
$other \\upsilon $$\\upsilon_{q2}$other TSirrelevant
$other \\upsilon $$other \\upsilon $$TS_{r}$incompatible
$other \\upsilon $$other \\upsilon $$TS_r - 1$incompatible
$other \\upsilon $$other \\upsilon $$TS_r + 1$incompatible
$other \\upsilon $$other \\upsilon $other TSirrelevant
"} {"image_path": "images/ba5a8615adbc2bf3840b7c2ae0114741.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ABCDEF
1一般企业流动资金贷款需求简易测算表
2编制单位:有限公司单位:元
31、应付账款周转天数17.125、营运资金周转次数1.38
4销售成本4,047,036.846、营运资金量5,641,514.51
5平均应付账款余额192,501.50销售收入6,569,865.00
6年初应付账款余额158,455.00净利润1,370,408.14
7年末应付账款余额226,548.00销售利润率0.21
82、预付账款周转天数33.84预计年销售收入9,854,797.50
9销售成本4,047,036.84预计销售收入增长额3,284,932.50
10平均预付账款余额380,441.50预计销售收入增长率50.00%
11年初预付账款余额295,458.007、新增流动资金贷款额度237,071.26
12年末预付账款余额465,425.00借款人自有资金5,404,443.25
133、存货周转天数104.56年末未分配利润3,720,982.65
14销售成本4,047,036.84年末折旧净增额+当期折旧净增额351,545.00
15平均存货余额1,175,481.50当期净利润1,370,408.14
16年初存货余额985,465.00年末资本性支出净额+当期资本性支出净额-212,800.00
17年末存货余额1,365,498.00股利支付251,292.54
184、预收账款周转天数0.00到期的银行借款
19销售收入6,569,865.00现有银行流动资金借款0.00
20平均预收账款余额0.00其他融资
21年初预收账款余额0.00
22年末预收账款余额0.00
235、应收账款周转天数139.78
24销售收入6,569,865.00
25平均应收账款余额2,550,980.00
26年初应收账款余额2,136,548.00
"} {"image_path": "images/c71139cb08c3ebb0669a8d486a7cc503.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
quinizarin red 9blue 14
$p_\\text{c}/\\text{MPa}$4.142.852.54
$T_{\\mathrm{c}}/\\mathrm{K}$1007.76750.95812.35
$p/\\mathrm{MPa}$ (triple point)$5.90\\times10^{-5}$$3.37\\times10^{-5}$$1.63\\times10^{-5}$
$V^{S}/m^{3}mol^{-1}$ $1.740\\times10^{-4}$$1.81\\times10^{-4}$$2.034\\times10^{-4}$
$V^{SCL}/m^{3} mol^{-1}$$1.998 \\times 10^{-4}$$2.070 \\times 10^{-4}$$2.319 \\times 10^{-4}$
$\\Delta H_{\\mathrm{fus}}/\\text{J mol}^{-1}$ $24189^{a}$ 2875031012
$T_{\\mathrm{m}}/\\mathrm{K}$$472.71^{b}$$444.2^{b}$$494.15^{b}$
$P_s^\\mathrm{subl}$ /Mpa at T = 333.2K$4.41 \\times 10^{-9}$$1.05 \\times 10^{-8}$$1.91 \\times 10^{-10}$
$P_s^\\mathrm{subl}$/MPa at T = 353.2K$2.88 \\times 10^{-8}$$1.10 \\times 10^{-7}$$2.05 \\times 10^{-9}$
$P_s^\\mathrm{subl}$ /MPa at T = 373.2K$1.44 \\times 10^{-7}$$9.00 \\times 10^{-7}$$1.71 \\times 10^{-8}$
$P_s^\\mathrm{subl}$ /MPa at T = 393.2K$6.05 \\times 10^{-7}$--
$^a\\text{Ref 34. }^b\\text{Ref 32.}$
"} {"image_path": "images/2f4750f7c5d54a9ec47148cfad85dcaa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MixtureAminopropylonfound
Compoundmgmg$\\%^{\\dagger}$
Acetanilide4350.3099.6
Antipyrine53
Sulpyrine86
Aminopropylon50.52
Isopropyl antipyrine5150.4399.7
Acetylsalicylic acid127
Acetylsalicylic acid-aluminum168
Aminopropylon50.58
Salicylamide25250.37100.1
Ethoxybenzamide126
Aminopropylon50.31
p-Acetaminophenol7850.63100.8
Aminopropylon50.21
Quinine ethylcarbonate12850.37100.1
Quinine hydrochloride44
Quinine sulfate51
Aminopropylon50.30
Migrenin8549.5799.3
Quinine sulpyrine85
Aminopropylon49.92
Aminopyrine 2851.32100.7
Aminopropylon50.96
Pyrabital5550.23100.2
Bromovalerylurea 55
Aminopropylon50.14
Diphenhydramine hydrochloride949.7799.8
Chlorphenyramine maleate1
Pyribenzamine hydrochloride9
Aminopropylon49.88
Thonzylamine hydrochloride549.9199.8
Diphenylpyraline1
Aminopropylon50.01
Methdilazine hydrochloride550.1697.6
N-Dimethylaminoethylphenotiazin4
Aminopropylon51.37
Codeine phosphate350.4799.8
2,6-Ditertiarybutylnaphthalenesodium monosulfonate5
Aminopropylon50.58
d,l-Methylephedrine hydrochloride550.8499.7
Saccharine4
Caffeine sodium benzoate26
Aminopropylon51.01
"} {"image_path": "images/435f6e0f5bd922dede911a03ad1e9c29.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FEATURES O FMAPS AND COMPUTATION TIMES
Fig. 10Fig. 11(a)Fig. 12(a)Fig. 12(b)Fig. 12(c)
I. Features of Maps
a) The Number of Vertices7540779196
b) The Number of Feedback Edges03388
c) The Number of Nonproper Edges128151916
d) $k=\\sum \\sum\\left|V_{i}(v)\\right|^{2}$25569394427471
II. Computation Times (sec)
1)Hierarchization.(finding feedback edges)0.450.341.202.292.82
(0.00)(0.25)(0.47)(1.23)(1.72)
2) Normalization0.020.010.020.030.03
3) Vertex-Ordering0.830.351.031.331.40
4) Metrical Layout0.270.130.320.390.40
$\\underline{\\text{Total}}$1.570.832.574.044.65
"} {"image_path": "images/eb9b054d685103b75e1fe7317319ff38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工程名称结 构 类 型
建设单位分部工程名称
设计单位分部工程面积
施工单位子分部工程名称
监理单位工程地点
开工日期年 月 日竣 工 日 期年 月 日
序号分项工程名称施工单位自检评定检 查 方 法
1
2
3
4
5
6
7
8
9
10
分部工程验收意见
建设单位设计单位施工单位监理单位
(公章)单位(项目)负责人:年 月 日(公章)单位(项目)负责人:年 月 日(公章)单位(项目)负责人:年 月 日(公章)单位(项目)负责人:年 月 日
"} {"image_path": "images/2b66d4ad52161b0b097d5ed8c942bb42.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ReferenceWingLeading-edgesweepangle, degTaperratioAspectratioSteadyUnsteady
$\\Delta t$TotalstepsCaseSteps/cycle
3F-531.90.283.160.012000$40 \\mathrm{~Hz}$, pitch1200
4F-531.90.283.160.014000 $20~\\mathrm{Hz}$ , pitch2160
5RAE50.20.272.410.0075150070 Hz, pitch 1000
33 Hz,pitch2000
6B-167.50.381.850.002 notreportedaeroelastic6000
"} {"image_path": "images/140e502e9e50fb5b71523776e95dd5d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$A_{\\varPi \\to 0},~\\mathring{\\mathrm{A}}~^{2}$$A_{\\Delta V},~\\mathring{\\mathrm{A}}~^{2}$$\\mu_{{21}\\text{A}^{2}},\\ \\text{mD}$$A_{\\eta = 0.10},~\\mathring{\\mathrm{A}}~^{2}$
PBLG22.823.227022.7(9.0C)
PBLA21.522.032213.5(10.8°C)
CP (BLG, BLA)23.022.630523.4(12.3°C)
1 : 1 PBLG + PBLA22.422.524013.4(19.3°C)
"} {"image_path": "images/033625a6bb7736ecf6f28849493713eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ST, I (mA)$T_{\\mathrm{meas}}$(min)$CRM^a$Certified$(\\mathrm{\\mu g}\\:\\mathrm{g}^{-1})$Average,$(\\mathrm{\\mu g}\\:\\mathrm{g}^{-1})$$u_{\\mathrm{prec}}$$\\bar{q}$$u_{\\mathrm{bias}}$uLOD$(\\mathrm{\\mu g}\\:\\mathrm{g}^{-1})$
KBr, 1510CrNBS1572$0.8 \\pm 0.2$6
MnNBS1572$23 \\pm 2$16.20.034-70.0930.19810
NBS1575$675 \\pm 15$7460.003710.0220.046
FeNBS1572$90 \\pm10$88.40.009--0.0185
DOLT-1$712 \\pm 48$7490.005--0.010
CuNBS1575$3.0 \\pm 0.3$4.00.0021.00.1000.2001.5
DOLT1$20.8 \\pm 1.2$22.40.018--0.036
ZnNBS1572$29 \\pm 2$30.80.021--0.0421.3
DOLT1$92.5 \\pm 2.3$ 95.60.010--0.020
As DORM1$17.7 \\pm 2.1$$19.7^{\\mathbf{b}}$0.029--0.058$1.4^{\\mathrm{c}}$
Ag,2030SeDOLT1$7.34 \\pm 0.42$7.70.056--0.1121.5
RbNBS1575$11.7 \\pm 0.1$11.80.038--0.0762.5
SrNBS1572$100\\pm2$1050.041--0.0822.0
Pb DOLT1$1.36 \\pm 0.29$$3.5^\\mathrm{e}$
NBS1572$13.3 \\pm 2.4$$13.9^{\\mathrm{d}}$0.094--0.188
"} {"image_path": "images/bf7b9576079f9df05796521b990f585a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Error distributionN(0, 1)Laplace$t_5$$t_2$CauchySlash
$n/p=4,\\ h=2$PLS0.01990.04250.03370.343248.01137195
PM0.02210.03000.02760.04150.07110.1584
PRM0.02400.03150.02950.04350.0700.1666
RSIMPLS0.04620.05210.05200.06720.10260.2105
$n/p=1/4, h=1$PLS0.00110.00210.00200.011230.74210.923
PM0.00120.00170.00170.00230.00420.0089
PRM0.00130.00190.00180.00260.00470.0099
RSIMPLS0.00240.00270.00290.00360.00670.0135
$n/p=1/10, h=3$PLS0.00400.00780.00640.0582124.62188.32
PM0.00460.00670.00600.00990.02930.0518
PRM0.00470.00690.00610.00990.02830.0469
RSIMPLS0.01550.02470.02110.03460.09690.1517
"} {"image_path": "images/c975a5f4b04255a1e9abdb660e852993.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LV1: Concern about FWLV1LV2LV3LV4LV5LV6LV7
0.7080.7100.7500.7300.8220.7920.705
LV2:Moral attitude0.207
LV3: Subjective norms0.0620.163
LV4: Perceived behavioural control0.1520.1030.180
LV5: Marketing/sale strategies “addiction\"-0.019-0.0620.116-0.105
LV6: Intention0.2460.4080.1090.288-0.070
LV7: Positive (correct) behaviour towards FW0.0690.1410.5270.3030.1300.284
"} {"image_path": "images/ca1f26f59820f34a62a6e28831d2350f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$w_{\\perp}(\\mu \\mathrm{m})$
XYZ
$d_1$$d_2$ABABAB
1·041·98·310·59·711·29·010·1
1·262·149·712·211·312·211·312·2
1·501·99·012·410·110·89·711·2
"} {"image_path": "images/5e44d4df11b79923639d31a67c28bbef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Approach$f_{\\mathrm{p1}}=10\\:\\mathrm{N},\\:f_{\\mathrm{p2}}=f_{\\mathrm{p3}}=0\\:\\mathrm{N}$$f_{\\mathrm{p}1}=f_{\\mathrm{p}2}=f_{\\mathrm{p}3}=10\\text{ N}$
$x_{\\mathrm{in}1}(\\mathrm{\\mu m})$$x_0(\\mu m)$$x_{\\mathrm{in}1}(\\mathrm{\\mu m})$$x_{\\mathrm{in}2}(\\mathrm{\\mu m})$$x_{\\mathrm{in}3}(\\mathrm{\\mu m})$$x_{\\mathrm{out}}(\\mathrm{\\mu m})$
uwzuuwuw$\\theta_{1}$$\\theta_{2}$z
FEA43.315.1215.3946.82-40.56-23.4240.56-23.420046.22
The proposed approach41.025.0714.9444.51-38.55-22.2638.55-22.260044.81
Error5.29%0.98%2.92%4.93%4.96%4.95%4.96%4.95%003.05%
"} {"image_path": "images/7be8406c593cfdda5838505a5e618fc5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
adsorbentT(K)$R^2$$\\Delta G^{0}$$(\\mathrm{kJ/mol})$$\\Delta S^{0}$$(\\mathrm{kJ/mol K})$$\\Delta H^{0}$$(\\mathrm{kJ/mol})$
Si-C2880.9923-15.3080.08810.136
298-16.192
308-17.060
${Si-C}_3$2881-15.3860.0839.104
298-16.226
308-17.076
Al-C2880.9194-15.4210.0848.806
298-16.261
308-17.102
${Ali-C}_3$2880.9903-15.0160.10314.567
298-16.044
308-17.071
"} {"image_path": "images/d5b5e45f7c4cda7b54af050c31863aa0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DescriptionDimensionDescriptionDimension
VesselDiameter0.3 mShaftDiameter0.01 m
Height0.45 mHeight0.35 m
BafflesHeight0.42 mPropellerDiameter0.1 m
Width0.025 mBlade thickness0.003 m
Thickness0.003 mNo. of blades3
Helical coilHelix diameter0.25 mDisk turbineDiameter of disc0.08 m
Coil pipe diameter0.0115 mBlade height0.026 m
No. of turns7.5Blade width0.03 m
Spacing between coils0.028 mBlade thickness0.003 m
"} {"image_path": "images/3cf45ce17d90fb85170000c6b91809b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GenotypefrequenciesSide effect disutilitiesRemission rates
1/1 + 1/ss/s1/1 + 1/ss/s
(77%)(23%)(77%)(23%)
Bupropion0.0400.0400.3300.330
Citalopram0.0380.0460.3800.160
Algorithm A0.0390.0440.3630.216
Algorithm B0.0380.0400.3800.330
"} {"image_path": "images/fef49a9349268da06701866a55caad7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Chosen systems for Nucleophilic Centreh(k) (eV)$\\Delta^{-} h(k)\\ (\\mathrm{eV}) \\quad$
-OH
$\\text{CH}_3\\text{OH}$703.768413.1431
703.991612.1689
$CH_3CH_2OH$748.493112.7377
748.354310.8954
$\\mathrm{CH}_{3} \\mathrm{CH}_{2}\\ \\mathrm{CH}_{2} \\mathrm{OH}$ 775.647412.4383
775.516710.2124
-SH
$CH_3SH$1687.64809.8233
1686.23109.7607
$\\mathrm{CH}_{3} \\mathrm{CH}_{2} \\mathrm{SH}$1726.93309.5729
1724.92809.3961
$\\mathrm{CH}_{3} \\mathrm{CH}_{2}\\ \\mathrm{CH}_{2} \\mathrm{SH}$1758.88509.4342
1756.41209.1077
$-\\mathbf{NH}_2$
$\\mathrm{CH}_{3} \\mathrm{NH}_{2}$607.5789 11.6274
607.608811.2465
$\\mathrm{CH}_{3} \\mathrm{CH}_{2} \\mathrm{NH}_{2}$651.019111.3091
650.722510.6043
$\\mathrm{CH}_{3} \\mathrm{CH}_{2}\\ \\mathrm{CH}_{2} \\mathrm{NH}_{2}$679.476811.1893
679.079510.3104
$-\\mathbf{PH}_2$
$\\mathrm{CH}_{3} \\mathrm{PH}_{2}$1558.20109.1213
1556.90309.0832
$\\mathrm{CH}_{3} \\mathrm{CH}_{2} \\mathrm{PH}_{2}$ 1595.64708.8300
1593.90208.5661
$\\mathrm{CH}_{3} \\mathrm{CH}_{2}\\ \\mathrm{CH}_{2} \\mathrm{PH}_{2}$ 1621.37208.6913
1619.45408.1825
"} {"image_path": "images/68fe9f20a9c1698f56348eb2b3ac55be.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CROSS-CONTINUOUS$\\alpha~(^{\\circ})$$0 \\leq \\alpha<\\mathbf{i}_{\\mathrm{s}}$$ i_{s}\\leq\\alpha<90 $$90 \\leq \\alpha 90$+~i_{s}\\leq\\alpha<180 $
SLIDINGACTIVEEqn.3--Eqn.3--
PASSIVE--Eqn.5--Eqn.5
TOPPLINGACTIVEEqns.4 & 8--Eqns.4 & 8--
PASSIVE--Eqns. $6 \\& 9$--Eqns. 6 & 9
INTERMITTENT$\\alpha~(^{\\circ})$$0 \\leq \\alphai ${ }_{s} \\leq \\alpha<90$$90 \\leq \\alpha<\\mathbf{i}_{\\mathrm{s}}+90$$90+\\mathbf{i}_{s}\\leq\\alpha<180$
ADDITIONALREQUIREMENT--$\\mathrm{i}_{\\mathrm{s}}>\\xi+\\alpha$$\\mathrm{i}_{\\mathrm{s}}>\\xi+\\alpha-90$$\\mathrm{i}_{\\mathrm{s}}>\\xi+\\alpha-90$
SLIDINGACTIVEEqn.3--Eqn.3--
PASSIVE--Eqn.5--Eqn.5
TOPPLINGACTIVEEqns.4 & 8--Eqns.4 & 8--
PASSIVE--Eqns. 6 & 9--Eqns.6 & 9
"} {"image_path": "images/ec193e8929ce9470be4e3a3429c3c48c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SolutionPresent, ppmFound, ppmCalculated error,ppm
Al/PAl700720+-25
P500490+-25
P/NaP2,0001,940+-40
Na20,00020,200+-160
P/NaP9,0008,750+-200
Na20,00019,600+-300
P/Al/NaP800770+-30
Al500460+-20
Na5,0004,900+-500
P/CrP4,0004,100+-140
Cr10,0009,500+-600
P/Cr/NaP4,0004,050+-100
Cr30,00029,700+-1,200
Na20,00019,800+-1,800
"} {"image_path": "images/55fe95da206fc584998516aa775c523a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
a/h4100
FCSR = $10^1$
Elasticity3.01123Err.%1.51021Err.%DOF
$EDZ_{111}$2.34412(-22.2)1.15866(-23.3)9
$EDZ_{115}$2.68809(-10.7)1.50975(-0.03)13
$EDZ_{225}$2.97597(-1.17)1.51015(0.00)15
$EDZ_{335}$2.98229(-0.96)1.51017(0.00)17
$EDZ_{444}$2.97886(-1.07)1.51017(0.00)18
$EDZ_{445}$2.98242(-0.96)1.51017(0.00)19
$EDZ_{555}$2.98737(-0.79)1.51018(0.00)21
$EDZ_{777}$2.99670(-0.48)1.51019(0.00)27
FCSR = $10^5$
Elasticity$1.31593\\cdot10^{-02}$Error %$2.08948\\cdot10^{-03}$Error %
$EDZ_{111}$$8.36735\\cdot10^{-04}$(-93.6)$1.63329\\cdot10^{-04}$(-92.2)9
$EDZ_{115}$$7.93264\\cdot10^{-03}$(-39.7)$1.64323\\cdot10^{-04}$(-92.1)13
$EDZ_{225}$$9.52709\\cdot10^{-03}$(-27.6)$2.24726\\cdot10^{-04}$(-89.2)15
$EDZ_{335}$$1.02216\\cdot10^{-02}$(-22.3)$2.70584\\cdot10^{-04}$(-87.0)17
$EDZ_{444}$$1.26288\\cdot10^{-02}$(-4.03)$1.16305\\cdot10^{-03}$(-44.3)18
$EDZ_{445}$$1.26702\\cdot10^{-02}$(-3.72)$1.16345\\cdot10^{-03}$(-44.3)19
$EDZ_{555}$$1.30409\\cdot10^{-02}$(-0.90)$1.78411\\cdot10^{-03}$(-14.6)21
$EDZ_{777}$$1.31363\\cdot10^{-02}$(-0.17)$2.02060\\cdot10^{-03}$(-3.30)27
"} {"image_path": "images/eeaa8871e05854f6e3c6c4043dac8017.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Case No. Mass of weight m (kg)$\\text{ Impact velocity}\\,v$(m/s)Cumulative kineticenergy** $E_{cum}$ (J)Remarks column(Order of loads)
1st2nd$ 3^{\\text {rd }} $
Case B1100200300Around 2.21400Gradual increase
Case B2100300200Random
Case B3200100300
Case B4200300100
Case B5300100200
Case B6300200100Gradual decrease
Case B7200200200Constant
Case B8600--Single impact
"} {"image_path": "images/13bd93ba3d7b85791bee56a672006807.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
截至六月三十日止年度20052004變動 (%)
財務摘要 (港幣百萬元)
營業額22,94521,764+5.4
可撥歸股東溢利10,3716,923+49.8
$\\text{租金總收入}^1$5,6495,461+3.4
$\\text{租金淨收入}^1$4,0633,998+1.6
財務比率
淨負債與股東權益比率(%)11.09.4$+1.6^2$
利息倍數比率(倍數)24.029.4$-5.4^3$
派息比率(%)50.957.3$-6.4^2$
每股財務資料(港幣)
溢利4.322.88+50.0
股息2.201.65+33.3
- 中期息0.700.60+16.7
- 末期息1.501.05+42.9
股東權益62.5456.33+11.0
香港土地儲備(百萬平方呎)
$\\text{發展中物業}^{4}$19.922.3-10.8
已完成出租物業22.020.5+7.3
總面積41.942.8-2.1
"} {"image_path": "images/3004e567a53ac95047661cb0ad2baa31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
19821983
AoûtSeptembreMaiJuillet
Reproducteurs*
3259
3856
3740
404755
374355
434357
424556
4045
434658
Non reproducteurs
2636
273434
283540
2752
3439
4055
4244
3948
3840
"} {"image_path": "images/4161a63531d5f02c6c7e2e5d18ca6c31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CellsNUI-39/10reactivityScore
-+12468
HLA-B13+57156100056
59755740510472875
Total6545589%65114728761
"} {"image_path": "images/9a8b7e355437c80b14c0e8f8e5f3328e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Farm variableSpecies of nematodeCoefficient ofcorrelation
Small size of herd andolder farmsTeladorsagia circumcincta0.5
Teladorsagia trifurcata0.6
Chabertia ovina0.5
Long kidding period andseveral origins ofintroduced goatsTrichostrongyluscolubriformis0.5
Trichostrongylus vitrinus0.5
Trichostrongylus axei0.4
Trichuris ovis0.5
Oesophagostomumvenulosum0.5
Other species of animalsbred and animal breedingHaemonchus contortus0.5
less important thanagriculture
Less older goats andseveral origins ofintroduced goatsOstertagia ostertagi0.4
Skrjabinema ovis0.4
No other species of animalbred and no small pastureavailableStrongyloides papillosus0.4
"} {"image_path": "images/521a4ed2591e43987dd68f0a6c075afb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IGF model$C_{11}$$C_{22}$$C_{33}$$C_{12}$$C_{13}$$C_{23}$$C_{44}$$C_{55}$$C_{66}$
411.8322.3305.776.775.0119.896.386.788.9
$\\beta-\\mathrm{Si}_{3} \\mathrm{~N}_{4}$$C_{11}$$C_{22}$$C_{33}$$C_{12}$$C_{13}$$C_{23}$$C_{44}$$C_{55}$$C_{66}$
Calc.431.3431.3551.7178.1108.0104.5126.6
$Expt.^a$$433\\pm3$$433\\pm3$$574\\pm3$$195\\pm8$$127\\pm5$$108\\pm2$$119 \\pm 4$
IGF portion$C_{11}$$C_{22}$$C_{33}$$C_{12}$$C_{13}$$C_{23}$$C_{44}$$C_{55}$$C_{66}$
161.5127.381.020.718.215.554.961.042.1
IGF model $\\beta-\\mathrm{Si}_{3} \\mathrm{N}_{4}$IGF pcrtion
Bulk modulus K175.4244.251.0
Shear modulus G103.0130.851.4
Young's modulus E258.4332.9115.3
Poisson's ratio $\\eta$0.2550.2730.123
"} {"image_path": "images/d63dd878110a1f2bbe48ad097bc70a72.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Atom ao$\\left\\{L i_{4}^{+}\\left[\\mathrm{WO}_{4}\\right]^{2-}\\right\\}^{2+}$$\\left\\{\\mathrm{Mg}_{2}^{2+}\\left[\\mathrm{WO}_{4}\\right]^{2-}\\right\\}^{2+}$
a)b)c)a)b)c)
W$ 5d_{x^{2}-y^{2}} $0,0040,0620,0540,0360,0710,066
$O_{(1)}$$5d_{z^2}$0,3890,3890,3670,410,4520,384
$5d_{xy}$0,4870,5530,4890,4820,5930,543
$5d_{xz}$0,5240,5250,5120,4140,5930,543
$5d_{yz}$0,5220,5250,470,3660,5860,319
2s1,1111,1161,1291,1291,1461,117
$2p_{x}$1,1211,1191,1151,0811,0891,116
$2p_{y}$1,1231,1191,0931,1691,1741,111
$2p_{z}$1,1231,1231,1111,0911,0751,159
M s0,0470,216 0,2950,0970,4710,714
"} {"image_path": "images/afbba3f2b4151e26203279022d1eb763.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$v_4=1$$v_7=1$$v_9=1$$v_8=1$$v_{12}=1$$v_{10}=1$$v_{12}=1$$v_9=2$$v_{12}=1$$v_11=1$
$v_4=1$$\\hat{H}_{4,4}$$\\hat{H}_{4,7+9}$$\\hat{H}_{4.8+12}$$\\hat{H}_{4,10+12}$$\\hat{H}_{4,2\\cdot9+12}$$\\hat{H}_{4.2\\cdot 11}$
$v_7=1$$\\hat{H}_{7+9,7+9}$$\\hat{H}_{7+9,8+12}$$\\hat{H}_{7+9,10+12}$$\\hat{H}_{7+9,2\\cdot9+12}$
$v_9=1$
$v_8=1$$\\hat{H}_{8+12.8+12}$$\\hat{H}_{8+12.10+12}$
$v_{12}=1$
$v_{10}=1$$\\hat{H}_{10+12,10+12}$
$v_12=1$
$v_9=2$$\\hat{H}_{2\\cdot9+12.2\\cdot 9+12}$
$v_{12}=1$
$v_{11}=1$$\\hat{H}_{2\\cdot11,2\\cdot11}$
"} {"image_path": "images/6b7271ab6bcf0bed8218515d044987d8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1953年1962年1974年
税 率 ( % )收 入 档 次( 万 日 元 )税 率 ( % )收 入 档 次( 万 日 元 )税 率 ( % )收 入 档 次( 万 日 元 )
810 以下1060 以下
1010 以上1260 以上
152152014120
205016180
207258018240
25123012021300
30203518024400
35304025027500
4540030600
40505060034700
4510055100038800
50200602000421000
55300653000461200
60500704500501500
65500以上756000552000
603000
654000
706000
758000
"} {"image_path": "images/1e06c0ba846b9bf8642ce1170483f78c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Simulation set-up
Scenario $N_{Gas}$$N_{DM}$$ M_{Gas}$$M_{DM}$$B^{SN}_{ Strength}$$R^{SN}_{Radius}$$R^{Bubble}_{ Radius }$$f^{SN}_{Soft}$
ga0_seed_all68 32368 323$ 2.6\\times 10^{7}~M_{\\odot} $$1.4 \\times 10^{8}~ \\mathrm{M}_{\\odot}$$10^{-4 }$G5 pc25 pc0.25h
ga1_seed_all637 966637 966 $2.8\\times 10^{6}~\\mathrm{M}_{\\odot}$ $ 1.5\\times 10^{7}~M_{\\odot} $$10^{-4}$G5 pc25 pc0.25h
ga2_seed_all5953 0335953 033$3.0 \\times 10^{5} ~\\mathrm{M}_{\\odot}$ $1.6\\times 10^{6}~\\mathrm{M}_{\\odot}$ $10^{-4} G$5 pc25 pc0.25h
ga2_seed_low5953 0335953 033 $3.0\\times 10^{5}~M_{\\odot}$ $1.6\\times 10^{6}~M_{\\odot}$ $10^{-5} G$5 pc 25 pc0.25h
ga2_seed_high5953 0335953 033 $3.0\\times 10^{5}~ M_{\\odot}$ $ 1.6\\times 10^{6}~M_{\\odot} $$10^{-3} G$ 5 pc25 pc0.25h
ga2_primordial5953 0335953 033 $3.0\\times 10^{5}~M_{\\odot}$ $ 1.6\\times 10^{6}~\\mathrm{M}_{\\odot} $$B_{primordial} =10^{-10}G$
"} {"image_path": "images/342adc82bdf2db3e86c62dddebefc4ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DiodeCorrelation $|\\boldsymbol{r}|$$(T,η)$ dataInitial $I_{th}$(mA)Degradation$\\Delta I_{\\mathrm{th}}$Length$(\\mu \\mathrm{m})$$ \\begin{gathered} R_{\\mathrm{th}} \\\\ \\left({ }^{\\circ} \\mathrm{C} / \\mathrm{W}\\right)\\end{gathered} $$ \\begin{array}{r}R_{\\mathrm{th}} L \\\\ (^{\\circ} \\mathrm{C} \\mathrm{mm} / \\mathrm{W})\\end{array} $$ \\begin{gathered} \\text { Calculated } \\\\ R_{\\mathrm{th}} L \\\\ \\left({ }^{\\circ} \\mathrm{C} \\mathrm{mm} / \\mathrm{W}\\right) \\end{gathered} $
Junction-upGaAs-on-Si
No.110.986161+8%3006118.318.6
No.170.998111+ 34%3824617.618.6
No.220.994179+8%3525318.718.6
No.280.996100+6%3685620.618.6
Junction-upGaAs-on-GaAs
No.10.99982-2%4106928.330.0
No.20.998840%4107329.930.0
No.30.99495+2%4177330.430.0
No.60.999800%4107731.630.0
Junction-downGaAs-on-Si
No.10.9971960%375228.257.0
No.20.999133+3%383186.897.0
"} {"image_path": "images/b23cdbd53d2a22a1bfa08a925fab2981.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0-1000-100
11000000
010000-20
00100200
00010100
00001-100
0000010-1
00000010
"} {"image_path": "images/43f2c48f399e2bd59bae7b5083c354ab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x$\\frac{(\\partial u/\\partial p)_T}{\\mathbf{m}\\cdot\\mathbf{s}^{-1}\\cdot\\mathbf{MPa}^{-1}}$$\\frac v{\\mathbf{m}^3\\cdot\\mathbf{kg}^{-1}}$J$\\frac L{\\mathbf{MPa}}$$\\frac{-A}{\\mathbf{m}\\cdot\\mathbf{s}^{-1}}$$\\frac{B}{\\mathbf{m}^{4}\\cdot\\mathbf{s}^{-1}\\cdot\\mathbf{k}\\mathbf{g}^{-1}}$
04.08905.90.21352120.423898.74.7012
0.23.91850.70.21401122.903776.54.2552
0.43.71799.20.21559127.013764.73.9674
0.63.54753.90.21748130.263652.93.6431
0.83.44713.60.21891132.493525.83.3450
13.31675.80.21956134.663398.13.0778
"} {"image_path": "images/7036eff8927d603d22be3f0c933f7730.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Phenological eventYearTreatmentOhio buckeyeSugar maple
Mean ± SEMean ± SE
Senescence0Experimental$165.9\\pm64$*$301.4\\pm0.6$
Control$181.5\\pm2.6$$300.6\\pm1.0$
Leaf drop0Experimental$189.2\\pm2.7$**$317.2\\pm0.8$*
Control$212.4\\pm5.1$$319.3\\pm0.9$
Bud break1Experimental$80.5\\pm1.6$$98.0\\pm0^{**}$
Control$78.0\\pm0.7$$100.3\\pm0.9$
Expansion1Experimental$107.3\\pm1.5$$119.8\\pm1.8$
Control$105.5\\pm0.5$$126.0\\pm1.0$
Senescence1Experimental$125.2\\pm4.0^{***}$$297.0\\pm0$
Control$185.3\\pm4.9$$294.0\\pm.9$
Leaf drop1Experimental$167.2\\pm9.6$***$314.0\\pm1.0$
Control$218.9\\pm3.9$$312.7\\pm1.3$
Bud break2Experimental$103.0\\pm0$
Control$88.0\\pm0.7$$103.0\\pm0$
Expansion2Experimental$117.0\\pm0$
Control$109.0\\pm0.7$$118.8\\pm0.9$
Senescence2Experimental$295.0\\pm0$
Control$203.2\\pm3.0$$292.5\\pm1.1$
Leaf drop2Experimental$306.7\\pm2.3$***
Control$235.4\\pm6.5$$292.5\\pm1.1$
Bud break3Experimental$102.0\\pm0$
Control$93.5\\pm0.8$$102.0\\pm0$
Expansion3Experimental$116.0\\pm0$
Control$107.5\\pm0.8$$117.4\\pm0.9$
"} {"image_path": "images/463a322eea17859b12105af5de8700ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号周 期速汽量CO2 ##初期峰值周期末######周期原油油气比
日油 #水日油日油##
411 p112501.22252303033036.12.13012.81289.30.51
2250822523021.232.426.3163014.81403.20.56
32005 10023019.355.721.2430 88 71227.30.61
411-p312504225225277373726.410.823.526801.07
411 p7218021801701553.823.215#40.317.92*13133
平均22.74328.83.9828 415417970.82
"} {"image_path": "images/48451f7e0285caf8f4989122692847ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Initial samplesAgingtime (day)$T(Cu_6Sn_5)$$(\\mu m)$$T(Cu_3Sn)$$(\\mu m)$T(IMCs)$(\\mu m)$M(Cu)($\\mu g/mm^2$)M(Su)($\\mu g/mm^2$)
Sn3.5Ag/Cu 240 ℃ for 2 min11.840.392.238.7610.28
42.410.552.9611.7413.54
92.780.763.5414.4115.89
163.180.894.0716.6218.22
364.201.235.4322.3224.18
815.521.987.5031.8232.54
280 ℃ for 2 min11.830.382.218.6610.20
42.360.572.9311.7213.33
92.560.843.414.2214.93
163.061.14.1617.6618.04
363.621.65.2222.9321.98
814.602.417.0131.7128.72
Sn/Cu 240 ℃ for 2 min10.791.252.0411.166.70
41.21.853.0516.6210.08
91.52.554.0522.4013.10
161.853.285.1328.5416.45
362.284.396.6737.5521.00
813.206.259.4553.3129.67
280 ℃ for 2 min10.881.32.1811.807.27
41.342.023.3618.2411.16
91.522.423.9421.5712.93
161.753.214.9627.7315.78
362.424.456.8738.4321.85
813.166.329.4853.6629.61
"} {"image_path": "images/2c9574e12f197418df9eb2822109c96f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Aheat-exchange surface ($m^{2}$)Subscripts
BiBiot number
Ccapacitance ($J/(m^{2}.K)$)Ccooling
$C_{p}$specific heat (J/(g·K))expexperimental
henthalpy (J/g)ffinal
$h_{g}$global heat transfer coefficient ($W/(m^{2}.K)$)hheating
kthermal conductivity (W/(m·K))iinitial
$L_{c}$characteristic length (m)incenter or inside
mmass (g)Lleft or liquid
Rthermal resistance ($m^{2}.K/W$)nnode
rradius (m)outoutside
Ssurfacepcmphase change material
Ttemperature (°C)rright
ttime (s)ssample or solid
nheat transfer coefficient ($W/(m^{2}.K)$)siinside surface
$\\Delta h$enthalpy variation (J/g)simsimulated
$\\Delta x$node interval (m)sOoutside surface
$\\rho$density ($kg/m^{3}$)Wwater
"} {"image_path": "images/c0a37ba1f53a8ac827c0efe1b9ce7180.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StepVariable$R^2$$R^2$Chgβ
1Age.11.11***-.23***
Gender-.11
Perceptions of family's financialstatus.13*
Education-.08
2Age.51.40***-.04
Gender-.05
Perceptions of family's financialstatus.10*
Education-.10*
Perceptions towards social media-.02
Social media use.68***
3Age.51 .00-.04
Gender-.05
Perceptions of family's financialstatus.10*
Education-.10*
Perceptions towards social media-.02
Social media use.68***
Total(traditional) social support.01
4Age.51 00-.04
Gender-.05
Perceptions of family's financialstatus.10*
Education-.10*
Perceptions towards social media-.02
Social media use.68***
Total(traditional) social support-.01
Parenting self-efficacy.02
Intensity of child's maladjustments-.04
"} {"image_path": "images/ff7da9623b0eef855c74fe2170281d7d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SizeRange($\\mu$m)C0-1C0-2C1-1C1-2C2-1C2-2
$r_i$$(\\mu\\text{m})$$V_i$(%)$r_i$$(\\mu\\text{m})$$V_i$(%) $r_i$$(\\mu\\text{m})$$V_i$(%)$r_i$$(\\mu\\text{m})$$V_i$(%) $r_i$$(\\mu\\text{m})$$V_i$(%)$r_i$$(\\mu\\text{m})$$V_i$(%)
<5019.60.1616.50.1024.80.9723.10.7321.51.4721.30.74
50-10074.30.7776.20.5770.42.2770.51.6069.42.9571.21.97
100-200146.11.29142.90.90141.42.19142.42.08144.53.88145.33.12
200-500344.63.89268.51.86262.82.86276.93.27277.48.60270.36.80
500-1000866.40.58569.42.64621.76.45615.24.95624.520.01642.416.22
>1000None1194.70.161321.40.771707.91.441.8156.361844.59.18
V (%)6.696.2215.5014.0643.2638.03
$f_c$(MPa)40.941.923.2
"} {"image_path": "images/592b680a689ea45a76d44c1cfee411fb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ApproachAbbreviationpHOC [%]C/NClay [%]DOC $[mg~l^{-1}]$Basal $CO_2~[mg~kg^{-1}~h^{-1}]$
Soil
Metelen (pasture)M4.43.311.8420.12.4
Köln (field)K7.40.7 7.218 7.30.8
Hamapil (orchard)H7.31.510.114 4.20.9
ApproachAbbreviationpHDOC $[mg~l^{-1}]$ EC $[μS~cm^{-1}]$${SUVA}_{254}$$[l~m^{-1}~mg^{-1}]$$Ca^{2+}~[mg~l^{-1}]$DOC Fraktionen [Da]
<1000 (%)1000-10 000 (%)>10 000 (%)
DOC
Cattle manurecm-DOC8.11807.2 0.132.163.353.811.035.2
Sewage sludgess-DOC7.7 969.721.10.6316.448.215.036.8
Soil MM-DOC5.0 28.813.71.363.049.31436.7
Soil KK-DOC7.5 12.659.70.685.361.5830.5
Soil HH-DOC7.4 16.647.72.004.953.010.037.0
"} {"image_path": "images/761344192cf2089172af73ee640c6a6d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dep. variable:$Entry_{ict}$ (Binary)
(1)(2)(3)(4)(5)
Processing$-0.0021 ^{***}$(-8.98)$-0.0025 ^{***}$(-22.26)$-0.0024 ^{***}$(-27.45)$-0.0036^{***}$(-26.85)$-0.0039 ^{***}$(-39.46)
ln(firm exports)$0.0011^{* * *}$(50.29)$0.0013^{***}$(78.79)
ownership FE Yes YesYesYesYes
country-year FEYes
country-province-year FE YesYes
country-industry-province FEYes Yes
year FEYesYes
Nb. Obs.113,023,768104,860,407104,860,40752,538,61552,538,615
R-sq.00182.00108.00153.00175.00248
"} {"image_path": "images/06a72be9c1b73109ee29fe4401d5e53b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Auditory ItemsAssoci-ationSequenc-ingSerialMemoryRapid RateSequencing Auditory Items1. 250 msectonesAssoci- ationNSSequenc-ing.02SerialMemory.01(M5)Rapid RateSequencing.05
4. 40 msecba/da.001NS.02(M3)NS2. 75 msectonesNS.001.02(M4).05
5. 80 msecba/da.001NSN/ANS
6. real ba/daNS.01N/ANS
9. 40 msecbae/dae.05NSN/AN/A
17. 80 msecbae/dae.01NSN/AN/A
15. ConceptGen./Seg-mentation.02NSN/A.01
Non-AuditoryItemsNon-AuditoryItems
21. Visualletter(e \\& k)NS.01.05(M3)NS18. Cross-modalNS.01.001(M3).001
19. Visual huesNS.05 .01(M3).01
20. Visual non-sense letters.05.02.01(M3).01
"} {"image_path": "images/b677a5ce10319a38bb7ba7063356a0f6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CodeLargest outsidediameterLengthLargest outsidediameter
mm
0To 80To 160Without acenter hole
1From 80To 125From 160To 250To 40
2From 125To 200From 250To 400From 40To 63
3From 200To 315From 400To 630From 63To 100
4From 315To 500From 630To 1000From 100To 160
5From 500To 800From 1000To 1600From 160To 250
6From 800To 1250From 1600To 2500From 250To 400
7From 1250To 2000From 2500To 4000From 400To 630
8≥ 2000≥ 4000≥ 630
9ReserveReserveReserve
"} {"image_path": "images/3fa9f1f5b0cdfab02ee1af5947136b5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PredictorBSE
Step $1 \\ R^{2}=.06^{* *}, f^{2}=.06$
Gender0.08*0.03
OEQ$0.12^{\\dagger}$0.07
Step 2 $ \\Delta R^{2}=.01$, with Threat, Status: Lower, Status: Equal
Step 3 $ \\Delta R^{2}=.04$, with two-way interactions
Step 4 $ \\Delta R^{2}=.11^{* *}, f^{2}=.14$, with three-way interactions
OEQ-0.74*0.31
OEQ $\\times$ Status: Equal0.89*0.34
OEQ x Status: Lower0.78*0.36
OEQ x Threat1.01**0.34
OEQ $\\times$ Status: Lower $\\times$ Threat-1.19**0.41
Gender x OEQ-0.48*0.23
Gender x OEQ x Threat0.43*0.20
Gender $\\times$ Status: Lower $\\times$ Threat-0.40*0.17
"} {"image_path": "images/7af22144eeaf80ba08449f8311019944.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Abbr.Station name(Source-sensor)Elevation(m a.s.l.)LocationPositionObs. periodYears
Lat. NLong. E
GMGrandes Murailles (CF-T)2566$45^{\\circ} 55'49''$$07^{\\circ} 36'11''$E-slope/high-altitude prairie2007-2014
BCBreuil Cervinia (CF-Th)1998$45^{\\circ}\\ 55'\\ 53''$$07^{\\circ}\\ 37'\\ 34''$Valley floor/grassy area2010-2014
LGLago Goillet (CF-T)2541$45^{\\circ}\\ 55'\\ 52''$$07^{\\circ}\\ 39'\\ 43''$NW-slope/near a lake2003-2014
CBCime Bianche (CF-T)3100$45^{\\circ} \\ 55'\\ 09''$$07^{\\circ} \\ 41'\\ 34''$NW-slope/debris cover2003-2014
PRPian Rosà (AMI-T)3488$45^{\\circ}\\ 56'\\ 07''$$07^{\\circ} \\ 42'\\ 26''$Ridge/near Theodul glacierJul.-Aug. 2009
CCCapanna Carrel (ARPA-T)3816$45^{\\circ} \\ 58'\\ 22''$$07^{\\circ} \\ 38'\\ 52''$SE-ridge/rockface2004-2015
"} {"image_path": "images/be2a4f7e9f79bb468611c854797e58a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Kayakingleisurely 40455055606570
Pool20202020202020
Rowingleisurely40455055606570
Skating, leisurely
ice40455055606570
roller40455055606065
Sleddingdownhill40455055606570
Snowmobiling30354045505560
Softball40455055606570
Throwing ball30354045505560
Walking
2 mph20253035404550
3 mph35404045505560
indoors15202530354045
"} {"image_path": "images/2126f162a0765dfe8aeb4b900f7675bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterAlbiteAnorthoziteQuartz dioriteDiabase
$d_{e}\\left(\\mathbf{km}\\right)$1020$30^{a}$10$20^{a}$3010$20^{a}$301020$30^{a}$
$T_0(\\mathbf{K})$93311331333933113313339331133133393311331333
$T_{\\mathrm{b}}\\left(\\mathrm{K}\\right)$183019302030069117301730163016301680183018801930
$Ra_{0}$4101783047188516031224
$\\mathbf{Ra}_T$$1 × 10^{5}$$1 × 10^{4}$$2 × 10^{3}$$8 × 10^{4}$$8 × 10^{3}$$9 × 10^{2}$$7 × 10^{4}$$7 × 10^{3}$$1 × 10^{3}$$3 × 10^{5}$$2 × 10^{4}$$2 × 10^{3}$
Nu1.21.21.11.51.71.41.92.32.51.31.31.3
$\\mathbf{Ra}_{T,\\mathrm{tr}}$$10-10^{2}$$10^{2}-10^{3}$$10^{2}-10^{3}$$10^{2}-10^{3}$$10^{3}-10^{4}$$10^{3}-10^{4}$$10^{2}-10^{3}$$10^{4}-10^{5}$$10^{4}-10^{5}$$10-10^{2}$$10^{2}-10^{3}$$10^{2}-10^{3}$
"} {"image_path": "images/b57c31f3ef36cba15852e54c3b74f78f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
载波名称最大频率位 移(兆 赫)根据临时通信卫星委员会/T-33-10 假定的响应测出的第 3 转发器响应
高端信道的噪声功率比(分贝) 传输失真Np (微微瓦)高端信道的噪声功率比(分贝) 传输失真Np (微微瓦)
G 2416.2570.5466.711
G 6015.0062.51660.129
G 9613.7559.52460.719
G 13212.5059.52059.620
G 25210.0056.53052.280
G 4325.0052.87050.0133
G 900036.8278043.3622
G 960037.3248042.9685
S 6016.2563.31459.34
S 13215.0055.15553.678
S 19213.7554.35354.947
S 25212.5054.35053.659
S 43210.0052.87048.3196
S 6127.5047.822445.7356
S 7925.0048.021245.0420
S 1500034.3500040.71055
S 1800034.3479039.31495
"} {"image_path": "images/31e7f42db129d506039a9284c572a981.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Series$T_{substrate}$(°C)Thickness$(\\mu m)$Pressure(m Torr)rf power(W/$cm^2$)H concent.(at. %)$E_{04}$(eV)
11003.5,4.64500.116±11.93±0.01
21501,3.74500.112±11.92±0.01
32503.5,4.64500.16±11.88±0.01
"} {"image_path": "images/173504e9a52ac30a36f0f51dcc378eec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ColorFieldArea$(arcmin^2)$LimitGalaxiesStarsUnknowns
U'SSA2215.7$U^{\\prime}<24.75$115126
HDF17.6 $U^{\\prime}<24.5$ 1031029
BSSA2216.0 $B<24.75$ 1663514
HDF13.6 $B<24.25$ 1091425
SSA1312.7 $B<24.25$ 7567
VSSA2215.7 $V<24.5$ 1724315
HDF14.3$ V<23.75 $87156
ISSA2215.7 $I<23.25$ 1965025
SSA1312.8 $I<22.5$ 95145
KSSA2215.7 $K<20.5$ 1093724
HDF14.3 $K<20.5$ 961529
SSA1312.8 $K<20$ 831222
SSA414.9 $K<19$ 492517
"} {"image_path": "images/4333aa6f35144e26fa9e0123e5852ae4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Healthy VolunteersPatients
Protocol 1Protocol 2
Number882
Age(years)24 ± 225 ± 236 ± 10
Height(m)1.78 ± 0.03 1.85 ± 0.02 1.76 ± 0.04
Weight(kg)80 ± 380 ± 286 ± 4
Body Mass Index$(kg/m^{2})$25 ± 123 ± 128 ± 0
Body Surface Area$(m^{2})$2.02 ± 0.04 1.98 ± 0.05 2.05 ± 0.07
Heart Rate(/min)57 ± 361 ± 361 ± 8
Blood PressureSystolic (mmHg)139 ± 2134 ± 6146 ± 2
Diastolic (mmHg)67 ± 272 ± 587 ± 7
HaematocritBasal 0.398 ± 0.009 0.375 ± 0.007 0.398 ± 0.015
Final0.399 ± 0.0100.376 ± 0.0060.398 ± 0.015
"} {"image_path": "images/9f272beea081b2c553f1cd4c4c817dff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$D_{ATE}$1975$T_{IME}$EDT$S_{UN} A_{NGLE}$${A_{ZIMUTHAL}}^1$$D_{IFFERENCE} $$\\psi$$S_{CATTER}$$\\begin{array}{c}\\mathrm{A_{NGLE}}\\\\\\phi\\end{array}$
$E_{LEVATION}$$D_{EGREE}$$A_{ZIMUTH}$$D_{EGREE}$
(Plot: Azimuth $—60^{\\circ}$, Nadir $—6^{\\circ}$ )
Soil July 3112:20611559582
Aug 512:20601569681
Aug 1211:50561458582
(Plot: Azimuth $—71^{\\circ}$, Nadir $—4^{\\circ}$ )
Barley(D2)July 3109:50391043346
Aug 509:40381063446
Aug 1209:20341033242
(Plot: Azimuth $—68^{\\circ}$, Nadir $-4.2^{\\circ}$ )
Corn(D3)July 3109:50411063850
13:506220113367
Aug 509:50401084051
14:055920713963
Aug 1209:30351053746
13:505920013266
(Plot: Azimuth $—70^{\\circ}$, Nadir $—4.1^{\\circ}$ )
Oats(D3)July 3112:10601518179
16:104325018036
Aug 1211:40551427273
15:4046 23916940
"} {"image_path": "images/295c3639e7adf7044dfb6409f89b6661.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建筑设计研究院目 录共 2 页第 2 页
综合楼(结构图纸部分)日期2003. 2
阶段施工图
序号图号名 称折算幅面备注
1结施-01结构设计说明A2
2结施-02基础平面图A2
3结施-03J-1、J-2、J-3详图A2
4结施-04J-4~J-8详图A2
5结施-05地下室结构平面图、一层结构平面图A2
6结施-06二层结构平面图A2
7结施-07屋面结构平面图A2
8结施-08一层楼面梁结构图A2
9结施-09二层楼面梁结构图A2
10结施-10屋面梁结构图A2
11结施-11地下室楼面梁结构图、地下室柱平面结构图A2
12结施-12一层柱平面结构图A2
13结施-13二、三层柱平面结构图A2
14结施-14平面梁节点大样图A2
15结施-15柱子节点大样图A2
16结施-16楼梯结构图A2
目-2目录$\\frac{1}{4}\\mathrm{A}2$
总计$18\\frac {1}{4}\\mathrm{A} 2$
设计: 审核: 技术总负责人:
"} {"image_path": "images/fc5d63568bfe6a95b55c8b452a1f6f7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目标准分值质量标准评分等级
ABCD
准 备10 分31.着装符合要求,剪指甲、洗手、戴口罩。3210
32. 物品准备齐全,放置合理。3210
43.环境整洁、有宽阔的操作台。4321
核 对15 分51.严格检查血液的质量符合要求。5431
52.查对方法正确。5431
53. 二人查对。5431
解释评估10 分51.严格查对,选择合适的静脉通道。5432
52.解释得当,与患者沟通语言文明、态度好。5432
输 血40 分61.连接输液器方法正确,不污染。6210
52.消毒皮肤范围规范。5310
43.再次查对患者。4210
44.一次排气成功(一次不成功为 D)。4210
65.进针角度、深度、速度适宜。6530
56.正确固定针头(牢固、美观)。5321
57.更换输血器方法正确,不污染。5432
58.合理调节滴速。5432
"} {"image_path": "images/b76066d8c3fc15f6525ec573b3901d85.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelParameterPrior distribution
M1$\\alpha$$ \\alpha\\sim N(57,1.0E-6) $
$\\beta$$\\beta \\sim N(0.1,1.0 E-6)$
$\\gamma$ $\\gamma\\sim N(1,1.0 E-6)$
$ \\sigma_{\\alpha} $$\\left(\\frac{1}{\\sigma_{a}}\\right)^{2} \\sim \\operatorname{Gamma}(0.001,0.001)$
$\\sigma$$ \\left(\\frac{1}{\\sigma}\\right)^{2} \\sim \\operatorname{Gamma}(0.001,0.001) $
M2$\\alpha$$\\alpha \\sim N(57,1.0 E-6)$
$\\beta$$\\beta \\sim N(0.1,1.0 E-6)$
$\\gamma$$\\gamma \\sim N(1,1.0 E-6)$
$\\sigma_{\\gamma}$$ \\left(\\frac{1}{\\sigma_{\\gamma}}\\right)^{2}\\sim\\operatorname{Gamma}(0.001,0.001) $
$\\sigma$$ \\left(\\frac{1}{\\sigma}\\right)^{2} \\sim \\operatorname{Gamma}(0.001,0.001) $
M3$\\alpha$$\\alpha \\sim N(57,1.0 E-6)$
$\\beta$$\\beta \\sim N(0.1,1.0 E-6)$
$\\gamma$$\\gamma \\sim N(1,1.0 E-6)$
$\\sigma_{\\alpha}$$\\left(\\frac{1}{\\sigma_{a}}\\right)^{2} \\sim \\operatorname{Gamma}(0.001,0.001)$
$ \\sigma_{\\gamma} $$\\left(\\frac{1}{\\sigma_{\\gamma}}\\right)^{2} \\sim \\operatorname{Gamma}(0.001,0.001)$
$\\sigma$$ \\left(\\frac{1}{\\sigma}\\right)^{2} \\sim \\operatorname{Gamma}(0.001,0.001) $
M4$\\beta$$\\beta \\sim N(0.1,1.0 E-6)$
$\\rho_{1}$ $\\rho_{1}\\sim N(1,1.0E-6)$
$\\rho_{2}$ $\\rho_{2}~\\sim N(1,1.0 E-6)$
$\\chi$$\\chi \\sim N(1,1.0 E-6)$
$\\sigma_{\\gamma}$$\\left(\\frac{1}{\\sigma_{x}}\\right)^{2} \\sim \\operatorname{Gamma}(0.001,0.001)$
$\\sigma $$ \\left(\\frac{1}{\\sigma}\\right)^{2}\\sim\\operatorname{Gamma}(0.001,0.001) $
"} {"image_path": "images/1696f63547c59dc8c372a355cafc6a13.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
${Designation}^b$${ Position(eV)}^c$FWHM(eV)Cross section$(\\mathring{\\mathrm{A}}^{2})$Assignment
$Na_3$$(C_{2v})$A'1.670.080.92${ }^{2} B_{2} \\rightarrow 3^{2} A_{1}$
A$1.84^d$...0.27$\\to1^2A_2$
B2.030.110.58$\\to4^2A_1$
B'2.220.171.01$\\to3^2B_2$
B\"2.400.070.31$\\to4^2B_2$
C2.590.091.34$\\to2^2A_2$
D3.000.100.78$\\to3^2A_2$
$Na_4$$(D_{2h})$$\\tilde{A}$1.630.050.22${ }^{1} A_{g} \\rightarrow 1{ }^{1} B_{2u}$
$\\tilde{B}$1.800.062.91$\\rightarrow1^{1}B_{3u}$
$\\tilde{C}$1.980.080.17$\\rightarrow2^{1}B_{3u}$
$\\tilde{D}$2.180.040.24$\\rightarrow1^{1}B_{1u}$
$\\tilde{E}^e$2.510.092.88$\\rightarrow2^{1}B_{2u}/3^{1}B_{2u}$
2.630.120.90
$\\tilde{F}^e$2.780.060.80$\\rightarrow2^{1}B_{1u}$
2.850.050.75
$\\tilde{G}$3.150.080.20$\\rightarrow 3{ }^{1} B_{1u} / 3{ }^{1} B_{3u}$
$\\tilde{H}$3.330.130.84$\\rightarrow4^{1}B_{2u}$
$\\mathrm{Na}_{8}{ }^{\\text {f,g }}$$(T_{d})$I1.68(1.70)0.28(0.30)0.15(0.23)${ }^{1} A_{1} \\rightarrow 2^{1} T_{2}{ }^{\\mathrm{h}}$
II2.09(2.11)0.18(0.30)0.16(0.58)$\\rightarrow3^{1}T_{2}$
III2.53(2.53)0.19(0.21)10.5(10.5)$\\rightarrow4^{1}T_{2}$
$\\mathrm{Na}_{8}{ }^{\\text f}$$(D_{2d})$I1.68(1.70)0.28(0.30)0.15(0.23)${ }^{1} A_{1} \\rightarrow 3{ }^{1} E / 4{ }^{1} E$
II2.09(2.12)0.20(0.32)0.23(0.58)$\\rightarrow1^{1}B_{2}$
II'2.43(2.42)0.12(0.18)3.2(4.1)$\\rightarrow5^{1}E$
III2.55(2.56)0.16(0.17) 9.6(9.6)$\\rightarrow 3^{1} B_{2} / 6^{1} E$
"} {"image_path": "images/c1ab750f2bf53050bf8728a534b88683.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MZaMZtMSBMPT
Y-30.200-3.7180.1231.328
BDI-48.907-4.9290.1010.541
1%*-13.800-2.5800.1741.780
5%*-8.100-1.9800.2333.170
10%*-5.700-1.6200.2754.450
Johansen Cointegration Test Rresult
r=00.097r=011.146
r≤l0.002r≤l0.183
"} {"image_path": "images/a96f3ab63975d083d53492c2aaed2c31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample typeLocation, dateDepth (cm)$^{87}\\mathrm{Sr}/^{86}\\mathrm{Sr}$$Sr~(\\mu g/L)$
Precipitation:R32, 3/6/90——0.707670.7
R32, 5/11/90——0.707421.0
R32, 3/13/91——0.708851.4
R32, 3/21/91——0.708531.3
R32, 3/28/91——0.708701.2
PM20, 11/15/92——0.707170.9
R32, 11/15/92——0.707130.7
PM20, 12/15/92——0.707550.9
R32, 12/15/92——0.708001.1
T6, 12/15/92——0.707611.1
Soil waters:R32, 2/27/92150.70698——
R32, 3/11/92150.70701——
R32, 2/27/92300.70693——
R32, 1/7/92310.70693——
R32, 4/20/92610.70693——
R32, 7/8/92920.70713——
R32, 7/8/921220.70683——
R32, 3/11/921520.70689——
R32, 2/27/921830.70687——
R32, 3/11/921830.70692——
R32, 3/11/922590.70694——
T6, 2/27/925280.70685——
T6, 3/11/925280.70687——
CH6, 8/2/913100.70666——
PM20, 3/11/92300.70727——
PM20, $3 / 11 / 92$910.70735——
Sierran streamwaters:Porcupine Flat, 9/15/90——0.70795——
Porcupine Flat, 6/15/91——0.70830——
South Fork Creek, 9/15/90——0.70771 ——
South Fork Creek, 6/15/91——0.70767——
Merced River, 9/15/90——0.70715——
Merced River, 6/15/91——0.70770——
Tamarack Campground, 9/15/9——0.70776——
Tamarack Creek, 6/15/91——0.70777——
Cascade Creek, 6/15/91——0.70819——
Murphy Creek, rt. 120, 6/15/910.70761——
Yosemite Creek, rt. 120, 6/15/91——0.70848——
Snow Camp, rt. 120, 6/15/91——0.70879——
"} {"image_path": "images/29357501066a0e697f1588c669f4eb33.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Raw materialProcessunitFeed (F),$\\mathrm{g} / \\mathrm{min}$Temp.,°CpLiq_id $ \\mathrm{Q} 0=\\mathrm{pLiq\\_id} * \\mathrm{~F} $Q=Effective heat consumptionoof the decomposition$ \\begin{array}{rl} &{\\mathrm{pLiq=}~\\mathrm{Q}/\\mathrm{F}}\\\\ &{}\\\\ \\end{array} $
PEPilot66.665000.2818.4018.810.36
100.000.2524.8718.190.23
133.330.1925.5317.570.17
66.665150.3020.1326.770.39
100.000.2625.7026.150.26
133.330.2330.9325.530.19
66.665300.3321.6737.420.43
100.000.2929.0336.800.28
133.330.2532.8736.180.21
"} {"image_path": "images/8290dca0747244306d6afdbe4737319b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\left(l S_{i}\\right) n^{1} n^{2} n_{1} n_{2}^{a}$Perturbation theoryCPMET
$x^b$$\\Delta \\boldsymbol{\\epsilon}_\\tau{ }^{\\mathbf{b}}$$x^c$$\\Delta \\boldsymbol{\\epsilon}_\\tau{ }^{\\mathbf{c}}$
(10)1122 -0.7186847808-0.6028940105
(20)11220.1052342790.033 911379
(00)11220.0913325530.088 842483
(10)2211-0.06158 20 888-0.059 6720241
(00)22110.038 5986250.034 947809
(10)3122-0.03740986
(10)3322-0.03106569
(00)2111-0.022844368
(30)1122-0.02028547
(00)11110.016867730.01412647
(20)22110.0144428560.013302631
(10)4211-0.013743836
(10)4412-0.012392250-0.010661935
(00)32110.012242003
(10)2111-0.01121972-0.012591092
"} {"image_path": "images/9b5dc49114ce18bf58ae565bc469a26b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ASD (A) (N = 37)Other psychiat-ric diagnosis (O)(N = 14)Controls(C)(N = 53)$\\text{Significance (F/}\\chi^2,\\mathrm{df,p)}$$\\text{Post hoc results}^\\mathrm{a}$
Age in years, mean (SD)9.9 (4.1)9.1 (2.7)10.2 (4.0)0.44, 2, 0.642
Gender1.17, 2, 0.558
Male, n (%)30 (81.1)13 (92.9)43 (81.1)
Female, n (%)7 (18.9)1 (7.1)10 (18.9)
IQ, mean (SD)84.9 (21.8)97.2 (18.5)114.6 (16.0)26.9, 2, 0.001***C>O, A
CBCL
Total, mean T (SD)66.8 (13.5)69.8 (18.9)46.2 (9.5)37.92, 2, 0.001***A, O>C
Internalizing,mean T (SD)63.8 (12.7)62.7 (17.9)48.7 (10.5)18.22, 2, 0.001***A, O>C
Externalizing, mean T (SD)59.4 (13.8)66.7 (18.4)45.8 (8.9)22.72, 2, 0.001***A, O>C
Psychiatric comorbidity, n (%)24 (64.9)11 (78.6)3 (5.7)45.3, 2, 0.001***A, O>C
Externalizing disorders,n (%)
ADHD8 (21.6)6 (42.9)-
ODD9 (24.3)5 (35.7)-
Conduct disorder1 (2.7)1 (7.1)-
Internalizing disorders, n (%)
Specific phobia7 (18.9)7 (50.0)3 (5.7)
Social phobia5 (13.5)--
SAD4 (10.8)2 (14.3)-
GAD2 (5.4)--
Agoraphobia2 (5.4)--
Panic disorder2 (5.4)--
Depression-1 (7.1)-
Other diagnoses, n (%)
Sleep disorder4 (10.8)1 (7.1)-
OCD4 (10.8)1 (7.1)-
Tic disorder6 (16.2)2 (14.3)1 (1.9)
Elective mutism3 (8.1)-
$\\text{NOS}^{\\mathrm{b}}$3 (8.1)--
"} {"image_path": "images/76152fd8c68504bdfcffe335a6ccbee7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variable (k)Point estimate95% CIZ value
Age (515)
Slope-0.014-0.021, -0.0073.95**
Intercept-0.882-1.154, -0.610
Gender: % female (521)
Slope0.4800.157, 0.8022.92**
Intercept-1.717-1.948, -1.487
Race: % Caucasian (243)
Slope-0.226-0.752, 0.3000.84
Intercept-1.115-1.537, -0.693
Marital: % committed (298)
Slope-0.985-1.436, -0.5334.28**
Intercept-0.987-1.199, -0.774
Employment: % employed (164)
Slope-0.447-0.969, 0.0751.68
Intercept-1.226-1.536, -0.916
Education: Average years (101)
Slope-0.034-0.137, 0.0680.66
Intercept-0.861-2.264, 0.542
Education: % some college (131)
Slope0.187-0.345, 0.7180.69
Intercept-1.450-1.803, -1.097
"} {"image_path": "images/3a530912f4cb8ed8a3be50bfdd722bd7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
compd arenereplaced in $(1)^{b}$reduced overlap populationbetween $\\text{fragments}^{c} $ electron distribution infragments for $\\mathrm{HOMO/LUMO} ^{d}$$\\text{arene} _{2}$
$\\mathrm{Ru}\\text{-}\\mathrm{C}_{6} \\mathrm{H}_{6}$$\\mathrm{Ru}\\text{-}\\mathrm{arene}_{2}$Ru$\\mathrm{{C}_6\\mathrm{H}_6}$
I0.741.9/1.30.04/0.3
II$\\mathrm{C}_6\\mathrm{H}_6$0.5950.6041.96/1.420.02/0.290.02/0.29
III$\\mathrm{C}_6\\mathrm{H}_6$0.5930.6081.96/1.390.02/0.290.026/0.32
IV$\\mathrm{C}_6\\mathrm{H}_6$0.6260.6611.95/1.370.02/0.280.03/0.35
VI$\\mathrm{{C}_6{Me}_6}$0.76
VII$ \\mathrm{C_{6}H_{6}/C_{6}H_{5}OMe} $0.5920.5911.96/1.420.02/0.290.02/0.3
IXnaphthalene0.5930.5151.96/1.240.02/0.240.02/0.52
$\\mathrm{XI}^{a}$$\\mathrm{C}_6\\mathrm{H}_6$0.5930.6011.96/1.420.02/0.30.02/0.3
"} {"image_path": "images/8b7e17ad8aef0d0852cf4f52951bdbda.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科目编码科目名称科目类型分配依据
2525. ODA 费用费用
2626. 其他费用费用按票数分配到产品
6403营业成本
6403011. 运输成本
640301001航空运费成本 按标准运价分摊到路由 , 按重量分配到产品
640301002铁路运费成本按标准运价分摊到路由 , 按重量分配到产品
6403044. 其他成本按票数分配到产品
"} {"image_path": "images/5b543f9d904179ffbde79cf003caaac6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Chemical composition (wt.%)
CSiNiCrTiAl$Y_{2}O_{3}$FeOthers
18Cr-ODS0.040.02-17.950.19-0.36Bal.
18Cr5Al-ODS0.050.02-17.840.174.930.34Bal.
430SS0.040.2311.0016.28---Bal.0.57Mn
Incoloy8000.080.2031.3020.600.560.54-Bal.1Mn, 0.05Cu
"} {"image_path": "images/b047765eab74ae9bc3b0c9e9d3f34ad9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序名称规格 材质数量(台)
1 反应釜5000L 搪玻璃15
14000L 不锈钢 4
2 过滤器$F=7m^2$ 不锈钢2
$F=14m^2$ 不锈钢3
3 蒸发器$F=20m^2$ 不锈钢2
$F=80m^2$ 不锈钢2
"} {"image_path": "images/314b84977a80230f80400cb917bbdc0f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Year-1Year-2Year-3Year-4
Training sampleFailed89412719
Non-failed45520513090
Holdout sampleFailed23
Non-failed112
"} {"image_path": "images/3c11279f0bf3d7e57bc80560f559171c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NameTimestepVerticallevel Lat $\\left({ }^{\\circ}\\right)$ Lon $\\left({ }^{\\circ}\\right)$Total cellsNo. of processors
481632641282565121024
No. of grid cells assigned per processor
T42120026641288192204810245122561286432168
T856002612825632 76881924096204810245122561286432
T17030026256512131 07232 768163848192409620481024512256128
"} {"image_path": "images/a4c50456c274da13ae64d437b50e5e3b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Characteristics$ \\text { Patient No. } $
12345
SexMMMFF
EthnicityAsianAsianAsianAsianArab
Current age$2~\\mathrm{yr}~4~\\mathrm{mo}$$6~\\mathrm{yr}~10~\\mathrm{mo}$16~\\mathrm{yr}~0~\\mathrm{mo}$$11~\\mathrm{yr}~6~\\mathrm{mo}$$12~\\mathrm{yr}~8~\\mathrm{mo}$
Age of onset3 days2 days1 day1 day2 days
Initial symptomsHypotonia,seizureComa,hypo-toniaHypotoniaComa, hypotoniaComa, hypotonia
Psychomotor development
Head controlNoNoNoYesYes
Sitting aloneNoNoNoYesYes
Walking aloneNoNoNoYesYes
Glycine concentration
CSF glycine concentration (referencerangs: 2.9-10.4), μM113148335774
Plasma glycine concentration (refer-ence range: 56-308), μM5001,220193659585
CSF/serum glycine ratio (reference:<0.04 ), μM 0.220.120.170.090.13
GLDC mutation
Allele 1Y858XN150T $(1 \\%)^{\\mathrm{a}}$T269MN150T $(1 \\%)^{\\mathrm{a}}$A802V $(32 \\%)^{\\mathrm{a}}$
Allele 2Large deletionIVS $7+1 \\mathrm{G}>\\mathrm{A}$IVS2+1G>AR790W $(14 \\%)^{\\mathrm{a}}$A802V $(32 \\%)^{\\mathrm{a}}$
Age at breath test$1~\\mathrm{yr}~9~\\mathrm{mo}$$5~\\mathrm{yr}~11~\\mathrm{mo}$$1.5~\\mathrm{mo}$$9~\\mathrm{yr}~3~\\mathrm{mo}$$12~\\mathrm{yr}~0~\\mathrm{mo}$
$^{13}\\text{C}$-cumulative recovery in breath test(mean ± SD in control subjects:24.1 土 4.0%)4.6%7.9%8.7%9.3%10.8%
ReferenceThis studyThis studyThis studyKure and colleagues,$2004^{12}$Korman and colleagues,$2004^{18}$
"} {"image_path": "images/b35a9a19d096fdf61ae21f8efdf858f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temperature (℃)J-O intensityparameterTransitions$ A_{0-2,4}\\left(\\mathrm{s}^{-1}\\right) $$ A_{0-1}\\left(s^{-1}\\right)$$A_{\\tau}\\left(\\mathrm{s}^{-1}\\right)$$\\tau_{\\mathrm{rad}}(\\mathrm{ms})$$\\beta$ ( % )$\\sigma\\left(\\lambda_{\\mathfrak{p}}\\right)(\\times10^{-20}\\:\\mathrm{m}^2)$Asymmetry ratio
$\\Omega_{2}\\left(\\mathrm{pm}^{2}\\right)$$\\Omega_{4}\\left(\\mathrm{pm}^{2}\\right)$
503.251.59$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{1}$141502264.43221.642.68
$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{2}$--626.01
$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{4}$35-161.93
1003.971.69$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{1}$-502643.78191.793.38
$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{2}$177-678.27
$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{4}$37-142.03
1501.511.98$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{1}$-501616.2312.001.29
$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{2}$68-422.50
$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{4}$43-273.02
2003.291.99$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{1}$-502414.15212.212.8
$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{2}$147-617.41
$5 \\mathrm{D}_{0} \\rightarrow{ }^{7} \\mathrm{~F}_{4}$44-183.44
"} {"image_path": "images/5de05402d96fcce9091ed802b3c84f7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StateConfig.QP$\\theta_A$$\\theta_{B}$DegeneracyEnergy per lattice site
$(1 \\times 1)_{1}^{1}$ AA A11101$-3 J-3 K-6 L+D-H$
$(1 \\times 1)_{-1}^{1}$ BB B1-1011$-3 J-3 K+6 L+D+H$
$(1 \\times 1)_{0}^{0}$ OO O00001 0
${ }^{*}(\\sqrt{3} \\times \\sqrt{3})_{1 / 3}^{1}$ BA A1$\\frac{1}{3}$$\\frac{2}{3}$$\\frac{1}{3}$3$J - 3K - 2L + D - \\frac{1}{3}H$
${ }^{*}(\\sqrt{3} \\times \\sqrt{3})_{-1 / 3}^{1}$ AB B1$-\\frac{1}{3}$$\\frac{1}{3}$$\\frac{2}{3}$3$J - 3K + 2L + D + \\frac{1}{3}H$
$(\\sqrt{3} \\times \\sqrt{3})_{2 / 3}^{2 / 3}$ OA A$\\frac{2}{3}$$\\frac{2}{3}$$\\frac{2}{3}$03$- J - K - 2L + \\frac{2}{3}D - \\frac{2}{3}H$
$(\\sqrt{3} \\times \\sqrt{3})_{-2 / 3}^{2 / 3}$ OB B$\\frac{2}{3}$$-\\frac{2}{3}$O$\\frac{2}{3}$3$- J - K + 2L + \\frac{2}{3}D + \\frac{2}{3}H$
$*(\\sqrt{3} \\times \\sqrt{3})_{0}^{2 / 3}$ OA B$\\frac{2}{3}$0$\\frac{1}{3}$$\\frac{1}{3}$6$J - K + \\frac{2}{3}D$
$(\\sqrt{3} \\times \\sqrt{3})_{1 / 3}^{1 / 3}$ OA O$\\frac{1}{3}$$\\frac{1}{3}$$\\frac{1}{3}$03$\\frac{1}{3} D - \\frac{1}{3}H$
$(\\sqrt{3} \\times \\sqrt{3})_{-1 / 3}^{1 / 3}$ OB O$\\frac{1}{3}$$-\\frac{1}{3}$0$ \\frac{1}{3} $3$\\frac{1}{3} D + \\frac{1}{3}H$
"} {"image_path": "images/dde5260d4783690e93b862fec7c9f1a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别战 剂 名 称战剂性质撤布方式侵入途径
气溶胶节肢动物呼吸道消化道皮肤
病毒黄热病毒致死+++-+
东部马脑炎病毒致死+++-+
西部马脑炎病毒致死+++-+
蜱传脑炎病毒致死+++++
乙型脑炎病毒致死+++-+
天花病毒致死+-+++
马尔堡病毒致死+++++
拉沙热病毒致死+-++-
委内瑞拉马脑炎病毒失能+++-+
基孔背雅病毒失能+++-+
登革热病毒失能+++-+
立夫特山谷热病毒失能+++-+
衣原体鸟疫衣原体致死+-++-
立克次体斑疹伤寒立克次体致死+++-+
落矶山斑疹热立克次体致死+++-+
Q热立克次体失能+++++
细菌鼠疫杆菌致死+++++
霍乱弧菌致死++-+-
炭疽杆菌芽胞致死+++++
类鼻疽杆菌致死+-+-+
土拉杆菌致死或失能+++++
布鲁氏杆菌失能+-++-
毒素肉毒杆菌毒素致死+-++-
葡萄球菌肠毒素失能+-++-
真菌粗球孢子菌失能+-+--
荚膜组织胞浆菌失能+-+--
"} {"image_path": "images/eab0eaab9423f283b91ad70345c6beea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Order ofmode RootJo(jn)=0Period(s)Ratio to 1st harmonic
Observedpredictedtheoreticalempirical
n=12.40300-4504201.70-2.502.33
25.421801831.001.00
38.651201170.670.64
411.8100860.560.47
514.965680.360.37
"} {"image_path": "images/120a6de64f84d6c3e5ec9b01b0862c6b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Bird19601961
Territorysize(hectare) Index ofaggresslon Territorysize (hectare) Index otaggression
A13·86·04·73·5
B9·14·94·44·3
C8·75·53·22·7
D6·63·52·02·1
F5·93·54·53·3
F4·62·50·86·0
D3·22·73·44·2
H2·82·61·72·0
I2·82·53·34·0
"} {"image_path": "images/faa2037e1a28fc6ca03c4dff3a3babef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Electrostatic$^{\\mathrm{a}}$Electrostatic$^{\\mathrm{c}}$
R(Bohr)Exchange$^{\\mathrm{a}, \\mathrm{b}}$Exact$^{\\mathrm{b}}$Pointcharge${ }^{b, d}$Multi-pole$^{\\mathrm{e}}$Multipole$^{\\mathrm{e}}$
Geometry I
4.028541.20-10436.611110.8244332.2843965.29
5.05315.58-1069.77509.462461.102553.94
6.0942.44110.13262.73427.10456.28
7.0148.56136.99146.08168.25178.31
8.017.4685.1884.7689.2393.32
10.00.0732.6032.5832.8633.79
13.00.019.919.979.9310.09
16.00.003.743.763.753.79
Geometry II
6.06879.24-2071.78-94.57124.94138.02
7.01122.76-258.04-70.88-34.00-25.52
8.0162.21-57.50-47.34-35.20-30.36
9.018.57-26.62-31.00-24.89-21.98
10.01.54-16.98-20.48-16.82-14.98
11.00.09-11.44-13.76-11.41-10.21
13.00.01-5.54-6.62-5.54-4.97
16.00.00-2.15-2.55-2.15-1.93
"} {"image_path": "images/77fc00b5a6490330589968a583689f58.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MoleculeReference linesAbundance (%)
Sample enriched by $^{18}O$Natural
$H}_2^{16}O$Régalia etal. [1]4.0599.73171
$H}_2^{18}O$95.01060.199983
$H}_2^{17}O$Régalia et al. [1]0.5870.0371884
${HD}^{16}0$Hitran2016 [23]0.01670.0310693
${HD}^{18}0$Mikhailenko et al. [37]0.32$6.23003\\times10^{-5}$
${HD}^{17}0$Mikhailenko et al. [37]0.0157$1.15853\\times10^{-5}$
"} {"image_path": "images/a2c061a763deebe265bacde4282227b7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SPECIFIEDPOINT#DESIGN PUINT #
1234567910
10.6190.2380.238-0.1430.238-0.143-0.1430.0480.048
20.2380.476-0.024 0.214-0.0240.214-0.2860.0950.095
30.2380.0240.476 0.214-0.024-0.2860.2140.0950.095
4-0.1430.2140.2140.571-0.2860.0710.0710.1430.143
50.238-0.024-0.024 -0.2860.476 0.2140.2140.0950.095
6-0.1430.214-0.286 0.0710.2140.5710.0710.1430.143
7 -0.143-0.2860.214 0.0710.2140.0710.5710.1430.143
$\\star$ 8-0.524-0.048-0.0480.429-0.0480.4290.4290.1900.190
90.0480.0950.0950.1430.0950.1430.1430.1190.119
100.0480.0950.0950.1430.0950.1430.1430.1190.119
"} {"image_path": "images/ad32c45c62e80ef828c20f8ee2ee2f53.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
酒店名称酒店地址保障方式运行时间公交出行指南
福州佩伯酒店公寓福州市闽侯高新区智慧大道 104 号开通临时公交专线4月28日:13:20、13:35各发车一趟4月29日:13:20、13:35各发车一趟4月30日:07:20、07:35各发车一趟步行870米至新塘洋站乘坐357路6站至台屿地铁站,或乘坐148路6站至公交福湾站。前往地铁台屿站乘坐地铁5号线 (福州火车南站方向) 5站至帝封江站换乘地铁4号线 (凤凰池方向)4站至会展中心站(C 口出)
福州佩伯酒店福州市闽侯高新区智慧大道 104 号
聚春园·卧龙山庄酒店(福州南站店)福州马尾区登龙路 100号开发区登龙路开通临时公交专线4 月 28 日: 13:40、13:55 各发车一趟4 月 29 日: 13:40、13:55 各发车一趟4 月 30 日: 07:40、07:55 各发车一趟步行 260 米至天马山公园站乘坐179 路 23 站至金融街万达广场站,前往地铁鳌峰洲站乘坐地铁4号线 (帝封江方向) 2站至会展中心站 (C 口出)
梅园酒店( 福州闽侯大学城店 )福州市闽侯上街镇国宾大道 350 号开通临时公交专线4 月 28 日: 13:10、13:25 各发车一趟4 月 29 日: 13:10、13:25 各发车一趟4 月 30 日: 07:10、07:25 各发车一趟步行400米至地铁上街站乘坐地铁 2 号线 (洋里方向) 16站至前屿站 换乘地铁4 号线 (帝封江方向) 4站至会展中心站 (C 口出)
福州西方海悦酒店福州市塔头路 122 号 公交接驳+地铁: 公交接驳至“三角池地铁站”公交站台,步行 90米 至地铁三角池站乘坐地铁 4 号线 (帝封江方向)至会展中心站( C 口出)4月28日:13:30、13:45各发车一趟4月29日:13:30、13:45各发车一趟4月30日:07:40、07:45各发车一趟步行 750 米至地铁三角池站乘坐地铁 4 号线 (帝封江方向) 8 站至会展中心站 (C 口出)步行 260 米至塔头站乘坐 11 路经 13 站在福四中站换乘 307 路经 19 站至公交海峡国际会展中心东站下车步行 560 米抵达
"} {"image_path": "images/a2b26e4937e9bad880189b741c64ad6e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
phaseHMC
$\\Delta\\tau $$N_{\\tau}$$\\delta_{\\mathrm{md}}$$\\delta_{\\mathrm{acc}}$
Coulomb0.02540$10^{-3}$$10^{-7}$
confinement0.0110$10^{-3}$$10^{-7}$
TSMB
$\\epsilon$$\\lambda$$n_{1}$$n_{2}$$n_{3}$$n_{4}$
Coulomb0.0252.563648200
confinement0.000225950360450500
"} {"image_path": "images/006cad6fb99b1cd956ab647bc9c420ea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Atom$\\zeta_{1s}$$\\zeta_2$$\\zeta_1$$\\zeta_{2P}$- E
LiMYH2.690.672.13$7.419^{\\mathrm{a}}$
DC2.690.6582.267.4135
CR2.6910.6402.6917.4185
S2.700.657.50
BeMYH3.700.963.1514.548
DC3.690.9793.2814.5489
CR3.6850.9563.68514.5567
S3.700.97514.64
BT4.701.304.301.2124.502
DC4.691.3224.201.2024.485
CR4.6801.2884.6801.21124.494
S4.701.301.3024.63
CT5.691.665.121.5337.629
DC5.691.6525.131.5637.601
CR5.6731.6085.6731.56837.622
S5.701.631.6337.80
NeMYH9.752.868.622.80126.44
DC9.662.9348.972.88127.734
CR9.6422.8799.422.879127.813
S9.702.932.93128.43
"} {"image_path": "images/093255060f37769df354101d9a4b1abe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelParametersValues
KineticsPseudo-second order$k_{2}$ (g/mg min)0.0127
qe (Cal) (mg/g)14.68
$R^2$0.837
Elovich model $\\beta$(g/mg)14.68
$\\alpha$ (mg/g min)14.55
$R^2$0.952
IsothermLangmuir$\\mathrm{q}_{{\\max }(\\mathrm{mg} / \\mathrm{g})}$63.4
b(L/mg)$2.52 \\times 10^{-3}$
$R^2$0.83
$R_L$0.97-0.61
Freundlich1/n0.813
$K_F$0.972
$R^2$0.98
Temkin$B_T$42.15
$K_T$7.46
$R^2$0.915
"} {"image_path": "images/1154079286d3cbf1df36a8de6e7c05a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Density$\\left(\\mathrm{kg} / \\mathrm{m}^{3}\\right)$Elastic strain index (ESI)
StressStressStressStressStressStressStress
8(kPa)16(kPa)24(kPa)32(kPa)40(kPa)48(kPa)56(kPa)
2007.25010.01312.96816.92319.33021.61023.334
2502.9004.1756.4578.1618.78110.64912.030
3000.4061.1251.8102.4693.2843.8254.616
3500.0000.5901.1891.7372.1462.6963.173
4000.0000.0000.7541.1541.5231.9012.162
4500.0000.0000.3800.8821.1841.3221.574
"} {"image_path": "images/824201f7736421434133a7239f5b32f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Rare earth pair$(\\mathrm{Ln_1{-}Ln_2})$$\\alpha_{\\mathrm{Ln1}}^{\\mathrm{Ln_{2}}}\\cong\\frac{K_{\\mathrm{Ln_{1}Y}}}{K_{\\mathrm{Ln_{2}Y}}}$$\\alpha_{\\mathrm{Ln}_{1}}^{\\mathrm{Ln}_{2}}=\\frac{{m_{\\mathrm{Ln}_{1}}}{m_{\\overline{Ln}_2}}}{{m_{\\mathrm{Ln}_{2}}}{m_{\\overline{Ln}_1}}}\\\\\\text{Observed mean value}\\\\(30^{\\circ}\\mathrm{C})$IonRadius($\\mathring{A}$)
Calcd Value$^{*}$Calcd value$^{**}$
Lu-Yb2.001.82-$Lu^{3+}$$Yb^{3+}$$Tm^{3+}$$Er^{3+}$$Ho^{3+}$0.840.850.860.870.89
Yb-Tm1.552.09-
Tm-Er2.953.312.05
Er-Ho1.861.74-
Ho-Dy1.903.631.88$Dy^{3+}$$Tb^{3+}$$Gd^{3+}$$Eu^{3+}$$Sm^{3+}$0.910.920.940.960.97
Dy-Y1.621.551.61
Y-Tb1.451.511.76
Tb-Cd3.634.79-
Gd-Eu1.051.021.30
Eu-Sm1.621.38-
Sm-Nd3.393.093.77$Pm^{3+}$$Nd^{3+}$$Pr^{3+}$$Ce^{3+}$$La^{3+}$0.980.991.001.021.04
Nd-Pr1.622.04-
Pr-Ce2.632.29-
Ce-La3.024.68-
$Y^{3+}$$Sc^{3+}$0.880.68
"} {"image_path": "images/0be08459d41a0bd0562801bdb03bc124.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SymbolDescriptionUnitsValue
mTotal mass of the rotor systemton174.68
LLength of the shaftm3
RsInner radius of the statorm3.185
$\\Delta r$Average air gapmm6.36
hLength of the magnetm1.72
IpPolar moment of inertia$\\mathrm{kg}\\cdot\\mathrm{m}^2$$3.54 \\times 10^{7}$
IMoment of inertia$\\mathrm{kg}\\cdot\\mathrm{m}^2$$1 \\times 10^{5}$
pNumber of the pole pair60
Distance along shaft from hub centre to Bearing 1m2.65
Distance along shaft from hub centre to Bearing 2m0.65
Distance along shaft from hub centre to rotor centrem1.65
${l_{o o}}^{\\prime}$Horizontal distance between the CG of the drive- train system and the CG of the platformm2
${h_{o o}}^{\\prime}$Vertical distance between the CG of the drive-train system and the CG of the platformm168.61
"} {"image_path": "images/bca97257927a86a8771320c2fd7c7f65.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ferri-oxamineshifts observedisosbesticpoint,nm
$\\begin{gathered}\\text{pH 7-3} \\\\\\lambda_{\\text{max}},\\ \\text{nm} \\\\(\\epsilon,\\ \\text{M}^{-1}\\ \\text{cm}^{-1})\\end{gathered}$pH 3-1
$\\Delta\\lambda_{\\text{max}}$$\\Delta\\epsilon$
$\\mathrm{X}_{2}$432 (2670)28-390$469^\\text{a}$
$\\mathrm{X}_{1}$432 (2730)16-270$476^\\text{a}$
$\\mathrm{D}_{2}$432 (2840)8-180
E432 (2890)4-90
$\\mathrm{X}_{3}$429 (2900)12-330$479^\\text{a}$
$\\text{Et}_1$431 (2890)5-150
$\\text{Et}_2$431 (2850)7-150
$\\text{Et}_3$431 (2910)6 -180
$\\text{Te}_1$430 (2980)7-240
$\\text{Te}_2$429 (3070)14-390$478^\\text{a}$
$\\text{Te}_3$429 (3190)18-550$477^\\text{a}$
"} {"image_path": "images/d9663fecb007c45c50a4776a6613d05d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$HCO_{3}$$SO_{4}$C1$NO_{3}$CaMgNaKFe$SiO_{2}$sum
NorthAmerica68208121561.40.166142
SouthAmerica314.84.90.77.21.5421.411.969
Europe95246.93.731.15.65.41.70.87.5182
Asia798.48.70.718.45.69.30.0111.7142
Africa4313.512.10.812.53.8111.323.2121
Australia31.62.6100.053.92.72.91.40.33.959
World58.411.27.81154.16.32.30.6713.1120
$anions^1$0.9580.2330.2200.0171.428
$cations^1$0.7500.3420.2740.0591.425
"} {"image_path": "images/2d5afacd63ce98e9edc55a6aa10943b0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
频率百分比%有效百分比%累计百分比%
有效夫妻二人共同决定48991.292.692.6
直接由丈夫一人决定315.85.998.5
其他81.51.5100.0
合计52898.5100.0
缺失系统81.5
合计536100.0
"} {"image_path": "images/c73a68b54d763974366455201ebdcc74.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MethodModenumberGradientindex
g=0g=0.6g=1g=5g=20g=50g=100$g=\\infty$
Present(0,0)70.128867.130966.783269.639668.814367.336466.596465.6876
Tornabene[15]70.1367.1366.7869.6468.8167.3466.5965.68
Present(0,1)296.993284.618283.124294.457290.959284.921281.898278.185
Tornabene[15]296.99284.62283.12294.46290.96284.92281.89278.18
"} {"image_path": "images/3ad8c96f17cca1e48e73f0b851f7cdf0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PathID$\\varepsilon_{\\mathrm{a}}$$\\gamma_{\\mathrm{a}}$$\\sigma_{\\mathrm{a}}$$\\tau_{\\mathrm{a}}$$N_f$
a10,00150,0056234151103138
20,00150,0056238151141938
30,00150,0052238148162119
40,00110,0056183165179446
50,00150,0064177176179628
60,00090,0064143183188219
70,00090,0064146184248009
80,00110,0056178163268051
90,00090,0056151172624521
100,00110,0052185154662706
110,00090,0052152162870886
b120,00150,00642912009838
130,00150,006430521319078
140,00090,006419520438376
150,00110,005622919644319
160,00110,005622919344800
170,00150,005229819246196
180,00090,006418920365674
190,00090,0056190192158248
200,00090,0052189182248540
210,00110,0052226182249996
"} {"image_path": "images/ea3b7e24512587b029601276ccab5283.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Aircraft PairFL-FTFT-FKFK-FE
ErrorUnitsEst.Obs.Est.Obs.Est.Obs.
Standard deviationHorizontal wind$ms^{-1}$0.100.590.050.060.070.05
Standard deviationVertical wind$ms^{-1}$0.040.310.030.100.030.11
Flux of horizontalMomentum$\\mathrm{kg} \\mathrm{~m}^{-1} \\mathrm{~s}^{-2}$0.050.270.030.060.060.10
Sensible heat fluxW m$^{-2}$173822172023
Latent heat fluxW m$^{-2}$246434353346
Carbon dioxide flux$\\mu \\mathrm{mol} \\ \\mathrm{m}^{-2} \\mathrm{~s}^{-1}$1.121.981.662.241.411.55
"} {"image_path": "images/f328e7599a7721cb88373ee163fdcace.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Independent variablesShare of privatemotorizedmodes$\\beta $PublictransportuseEstimateBicycleuseEstimateLeisure timeactivities/year$\\beta $Otheractivities/year$\\beta $
Mobility-related attitudes [from \"notagree at all\" (1) to \"agree totally\"(5)]
Pt $control^+$-.14***.28**.12.06.01
Pt excitement-.01.41***.12.01.03
Pt privacy-.02.00.09.06-.01
Car attitude.10**-.06.13.00.03
Car stress.05-.07.13.00.02
Cycling $attitude^+$-.06-.09.14***-.09*-.03
Weather $resistance^+$-.15***-.07.09***.03.03
Walking $attitude^+$-.16***.14.15.35***.01
Social norm-.04.13.11.07.03
Personal norm-.05.05.10*.00-.02
Perceived mobility $necessities^+$.08***-.13.09.00.18***
$R^2$.453.187.243
Adjusted $R^2$.425.147.206
Nagelkerke's $R^2$.387.480
McFadden's $R^2$.166.229
"} {"image_path": "images/f18cdc6f7ff99d8c2b80a98a23d5c40a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SpecimenN(kN)$F_p $(kN)EquationPrediction(kN)Relativeerror (%)Absoluteerror (kN)
SS-C175420Eq. (1)370.6-11.76-49.4
SS-C2112.5471.4423.1-10.25-48.3
SS-C3150526475.6-9.58-50.4
SS-C175420Eq. (2)250.13-40.45-169.9
SS-C2112.5471.4302.63-35.80-168.8
SS-C3150526355.13-32.48-170.9
PS-C1751,309Eq. (3)1,257.3-3.97-51.7
PS-C2112.51,3271,276.5-3.81-50.5
PS-C31501,3801,329.0-3.70-51.0
"} {"image_path": "images/7bccd4307c29536f7907b6cb196d26a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParticleSizeb: particles of all shapes
CharDrop Height (m)CoalDrop Height (m)
(mm)23452345
36.02.5893.3614.3805.2780.9291.1961.1961.4531.774
27.01.8122.5903.1163.2531.0461.2881.5711.979
18.01.1121.2911.7791.8160.7620.9671.0771.278
9.01.2751.4401.5101.5920.9741.0371.2031.235
"} {"image_path": "images/0966a9b79db193bb2c9d141a0eeb5f14.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Skylight/Skywindow System Components
COMPONENT DESCRIPTIONUNITQUAN. MAN-HOURSCOST EACH
MAT.INST.TOTAL
Skylights
Fixed bubble insulating, 24\" x 24\"32\" x 48\"Ea.Ea. 1.0001.000.800.86370.25149.3017.8218.3388.07167.63
Ventilating bubble insulating, 28\" x 52\"52\" x 52\"Ea.Ea. 1.0001.0003.2002.670396.55509.8567.5058.50464.05568.35
Trimmer rafters
2\" x 8\"2\" x 10\"L.F.L.F.28.00028.000.476.70017.5925.9610.5815.8828.1741.84
Headers
24\" window, 2\" x 6\"2\" x 8\"L.F.L.F.4.0004.000.124.1881.772.512.774.254.546.76
2\" x 10\"32\" window, 2\" x 8\"L.F.L.F.4.0006.000.200.2823.793.774.506.378.2910.14
2\" x 10\"48\" window, 2\" x 8\"L.F.L.F.6.0008.000.300.3765.695.036.758.5012.4413.53
2\" x 10\"L.F.L.F.8.000.4007.589.0016.58
"} {"image_path": "images/3b235674a10edad52d61fdc33fd11d6d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地 区工程结算收入工程结算成本工 程 结 算税金及附加工程结算利润经营费用其他业务收入# 其他业务 利 润
全省总计2 577 228.12 285 487.479 118.8198 113.914 50847 40710 019.4
兰州1 205 306.91 098 349.632 726.770 9873 243.627 727.85 871.8
嘉峪关82 240.374 494.41 997.64 968.4779.94 639.8469.5
金昌174 082.5155 329.85 198.612 789.9764.21 362.2-61.6
白银125 107.6105 439.54 282.614 743642.5682.5-490.9
天水103 285.693 914.93 221.35 403.8745.61 050.8132.8
武威107 839.977 736.55 348.723 758.4996.3488.5137.1
张掖101 930.787 2204 883.19 263.9563.7111.434
平凉93 614.581 622.53 313.47 967.67110.70.7
酒泉77 117.267 726.63 167.75 793.9429887.2281.2
庆阳217 198.4191 253.15 31717 424.63 203.78 790.83 479.1
定西116 615.1100 607.34 442.811 023.7541.31 490.2130.6
陇南27 963.924 198.51 041.52 044.7679.27513.2
临夏128 061.9112 779.13 579.410 610.61 092.811.95.9
甘南16 863.614 815.6598.41 334.4115.288.216
"} {"image_path": "images/79fbc5e8c59ca4a4c8eadc133e814bb2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$K_x(k,k)=\\begin{bmatrix}1.0889~1.0758~1.0719~1.0745~1.0597~1.0521~1.0421~1.0251~1.0105~0.9948\\\\1.0758~1.0889~1.0758~1.0719~1.0745~1.0597~1.0521~1.0421~1.0251~1.0105\\\\1.0719~1.0758~1.0889~1.0758~1.0719~1.0745~1.0597~1.0521~1.0421~1.0251\\\\1.0745~1.0719~1.0758~1.0889~1.0758~1.0719~1.0745~1.0597~1.0521~1.0421\\\\1.0597~1.0745~1.0719~1.0758~1.0889~1.0758~1.0719~1.0745~1.0597~1.0521\\\\1.0521~1.0597~1.0745~1.0719~1.0758~1.0889~1.0758~1.0719~1.0745~1.0597\\\\1.0421~1.0521~1.0597~1.0745~1.0719~1.0758~1.0889~1.0758~1.0719~1.0745\\\\1.0251~1.0421~1.0521~1.0597~1.0745~1.0719~1.0758~1.0889~1.0758~1.0719\\\\1.0105~1.0251~1.0421~1.0521~1.0597~1.0745~1.0719~1.0758~1.0889~1.0758\\\\0.9948~1.0105~1.0251~1.0421~1.0521~1.0597~1.0745~1.0719~1.0758~1.0889\\\\\\end{bmatrix}$
"} {"image_path": "images/acde49c752abaa17a984ec97d389d6c6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$In$ composition $(\\%)$01.83.44.5
$Strain $ ($\\%)$-0.251-0.125-0.010+0.071
$Measured$ $E_{g}(eV)$1.2201.1951.1901.179
$Calculated$ $E_{g}^{1}$ by model
(Ⅰ) (eV)1.2381.2131.1911.176
$\\Delta E^{(1)}(eV)$ -0.018-0.018-0.001+0.003
$Calculated$ $E_{g}^{2}$ by model
(Ⅱ) (eV)1.2431.2151.1911.174
$\\Delta E^{(2)} (eV)$-0.023-0.020-0.001+0.005
"} {"image_path": "images/fbad3172024eb0c1a25d9d432f76dbc8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Zonation forfault seal modelAverageclay %Av. Perm(mD)
Melke82Inactive
F5-F4AF5-4B19200
F4A52Inactive
F3C-F1AF39
F2281650
F111
Ror-T557Inactive
T4-T3AT414
T3C231000
T3B14
T3A33Inactive
T226200
T1C8350
T1B-A2B1T1B-A32
A2B4-326160
A2B2-124
A2A315900
A2A2-A1B2A2A2-126
A1B11-620480
A1B5-430
A1B3-244
A1B1102000
A1A34610
"} {"image_path": "images/05d8357b869e718bcfff3e0c0e146372.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Number of animalsPhenotypeAccuracy of estimated breeding valuefrom all PIC datasets
TraitNo. SNPsReferenceTestMeanSDMeanSD
T427,3911,500300-1.1252.4170.8750.048
T527,2871,50030044.10760.3150.8800.048
"} {"image_path": "images/8a44c9da8382e3b0f27470f91485b6bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验标准检验方法检验数量
一般项目1 面层表面的坡度应符合设计要求, 不得有倒泛水和积水现象 观察和采用泼水或坡度尺检查 每检验批按自然间(或标准间)检验,抽查数量应随机检验不应少于3间;不足3间,应全数检查;其中走廊(过道)应以10延长米为1间,工业厂房(按单跨计)、礼堂、门厅应以两个轴线为1间计算。有防水要求的建筑地面子分部工程的分项工程施工质量,每检验批抽查数量应按其房间总数随机检验不应少于4间,不足4间,应全数检查
2 面层表面应洁净,不应有裂纹、脱皮、麻面、起砂等现象 观察检查
3 踢脚线与柱、墙面应紧密结合,踢脚线高度及出柱、墙厚度应符合设计要求且均匀一致。当出现空鼓时,局部空鼓长度不应大于300mm,且每自然间或标准间不应多于2处 用小锤轻击、钢尺和观察检查
4 楼梯、台阶踏步的宽度、高度应符合设计要求。楼层梯段相邻踏步高度差不应大于10mm;每踏步两端宽度差不应大于10mm,旋转楼梯梯段的每踏步两端宽度的允许偏差不应大于5mm。踏步面层应做防滑处理,齿角应整齐,防滑条应顺直、牢固 观察和钢尺检查
5 水泥砂浆面层的允许偏差应符合下列规定:-
项 目 允许偏差(mm)-
表面平整度 4 用2m 靠尺和楔形塞尺检查
踢脚线上口平直 4 拉5m线和用钢尺检查
缝格顺直 3
"} {"image_path": "images/0057e04ba39d62926ac172fabc63e765.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目速 (代号)组 别成绩 ( 分 )统 计反 手正 手
141.7c/s(A)133.6c/s(C)141.7c/s(A)133.6c/s(C)
实验组对照组实验组对照组实验组对照组实验组对照组
实验前 $\\bar{X}$1.9021.8562.0422.0121.8961.8502.0882.038
实验后 $\\bar{X}$2.1561.9022.2142.0902.1981.8862.2922.038
组内检验t 值3.15740.59471.71831.06415.77690.45403.9128-0.0331
P<0.02>0.50>0.10>0.20$\\ll 0.01$>0.50<0.01$\\gg 0.50$
转移量比较(%)[hy:图片][hy:图片][hy:图片][hy:图片]
"} {"image_path": "images/10979f43911bda37f4a1b5db043ccd5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Criteria(a)(b)(c) + (d)(e)(f) + (g)
Chemical compositionXXXXX
Size distributionXX
Surface areaXX
ReactivityXX
FlowXXX
SetX
StrengthX
"} {"image_path": "images/6efa1313c9bed41b131f512d1f00eef6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
WeekNo.Trade PracticalTrade Theory
1.Importance of trade training, List of tools& Machinery used in the trade.Health & Safety: Introduction to safetyequipments and their uses. Introduction offirst aid, operation of Electrical mains.Occupational Safety & HealthImportance of housekeeping & goodshop floor practices.Health, Safety and Environmentguidelines, legislations & regulations asapplicable. Disposal procedure of wastematerials like cotton waste, metal,chipshurs etc. Basic safety introduction,Personal protective Equipments(PPE):Basic injury prevention, Basic first aid,Hazard identification and avoidance, safetysigns for Danger, Warning, caution &personal safety message.Preventive measures for electricalaccidents & steps to be taken in suchaccidents.Use of Fire extinguishers.Importance of safety and generalprecautions observed in theindustry/shop floor. All necessary guidanceto be provided to the new comers tobecome familiar with the working ofIndustrial Training Institute systemincluding stores procedures. Soft Skills: itsimportance and Job area aftercompletion of training. Introduction ofFirst aid. Operation of electrical mains.Introduction of PPEs. Introduction to 5SConcept & its application.Response to emergencies eg: power failure,fire, and system failure.
2-4Bench work:Identification of tools & equipments as perdesired specifications for marking &sawing.Holding rectangular piece of material in benchvice - filing flat surfaces and edges by maintain90° angles between all surfaces and edges -checking the dimensions and angles with steelrule and try square.Marking out of parallel lines using odd legcaliper, punching. Hack sawing to a differentlength as per marking (for step filing). Markingout of parallel lines using odd leg caliper,punching. Hack sawing to a different length asBench vice construction - types, uses, care andmaintenance. Hacksaw frames - its types,hacksaw blade - description, material,specifications and uses.Method of using hacksaw. Steel rule, calipers-its type, surface plate, surface gauge, scribers,punches - its types, hammer - its types. Metricand FPS system of measurement.Introduction of file, types, materials,classification, filing techniques and operations.Applications of files.
"} {"image_path": "images/5cbd94740b2dfa85330fce5316d7026d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
課程名稱:中文名稱:閱讀與寫作大師 (B)
英文名稱 : Reading & Writing Master (B)B)
授課年段:三上、三下學分總數:2
課程屬性:專題探究
師資來源:校内單科
課綱核心素養:A自主行動:A1.身心素質與自我精進,
B溝通互動:
C社會參與:
學生圖像:
學習目標:The aim is to develop students' reading and writing ability.
教學大綱:遇次/序單元/主題內容綱要
IntroductionIntroduction
Unit1Vocabulary About High School Life
Unit1Sentence Patterns About High School Life Writing
Unit2Draft For Hobbies
Unit2Formal Writing For Hobbies
Unit3Women in India Post Selfies to Take Back the Night
Unit3Vocabulary & Reading Comprehension Tests
Unit4New York Crushes Two Tons of Ivory to Smash Illegal Trade
Unit4Cloze Tests
Unit5Tennis Star Fails Drug Test
十一Unit5Vocabulary & Reading Comprehension Tests
"} {"image_path": "images/06a4d6c708494c45d32354ff1f926f12.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Strength3Intellect3
Agility3Willpower 3
Toughness3Fellowship3
Initiative4Defence3
Speed6Wounds4
Shock3Soak3
Resolve3Conviction3
Passive Awareness5
Resilience5
SkillsStealth 7, Default 5
SizeAverage
KeywordsHuman, Scum
"} {"image_path": "images/ddba2f24095cbc004e77e57af75b313e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
WTC199620Used forplutonium-containing waste
UKAEA198620
USABWX Technologies,B&W198615Operational atnaval fuel plant
INEEL200120
GTS Duratek198715
199050
Savannah, SRS198610Former West Valley
Hanford, ATG199215
Hanford, WRAP Race1996202 units
Rocky Flats, DOE198920Never operational
Chem Nuclear Chicago12Fakir 2
Northern States Power198520Mobile system
Taiwan, ChinaTaipower, Kuosheng plant199020
UkraineChmelnitsky NPP200120
South Ukraine NPP200120
"} {"image_path": "images/7c7369715649a831b38cfc206cfc387f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Marker 1Marker 2Mutant Chromosomes (N=110)Normal Chromosomes (N=110)
Dp-valueDp-value
STRBglII0.2750.000 0.0860.001
PvuII(a)0.2870.0000.2160.000
PvuII(b)0.2660.0000.1790.000
EcoRI0.1110.0000.0680.006
MspI0.0450.0890.0760.003
XmnI0.0450.0900.0960.001
VNTR0.3120.0000.1850.000
EcoRV0.1490.0000.1150.000
RFLP HT0.2890.0000.1110.001
VNTR BglII0.2450.0000.0950.005
PvuII(a)0.2450.0000.1820.000
STR0.3120.0000.1850.000
PvuII(b)0.2470.0000.3170.000
EcoRI0.0150.3020.0780.003
MspI-0.0211.0000.1160.000
XmnI0.0210.9980.1960.000
EcoRV0.8900.0000.5200.000
RFLP HT0.7210.0000.3050.001
"} {"image_path": "images/db5f590310fedbfaa9635b12d4061123.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一九二一年一九一五年一九一○年一九○五年一九○○年一八九五年一八九○年一八八五年一八八○年一八七五年一八七○年年次
○、八九一、一八一·七九○·九一一·二四一·四八一·三九一·九六一·○九一·○三一·一一進口
三·二四二·一二一·四八一·六七一·五三一·三二一·六八一·五四一·二五一·一五○·四八出口
一·八二一·六二一·六五一·一七一·三七一·#○一·五一一·七八一·一七一·○九○·八二合計
"} {"image_path": "images/54cb66a87d20a13a2da907846d432f25.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Constant$(M/P)_{-1}$($M_{-1}$/P)yRMM$\\Pi^e$h$\\rho$
- 0.160(0.95) 0.751(15.21) 0.147(6.07)-0.085(5.88) 0.199(0.71)2.14
-0.071(0.36) 0.711(12.33) 0.156(5.66)-0.083(5.03) 0.122(0.49)0.24
-0.053(3.97) 0.830(21.40) 0.150(0.844)-0.079(7.15) 0.266(1.26)3.92
-0.455(2.47) 0.802(16.21) 0.1535(7.13)-0.074(5.54) 0.155(0.83)0.43
"} {"image_path": "images/2918c23c22cbe0f44016d0d2fa301f66.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ComponentParameterValue
Bipolar plateWidth $(\\Omega)$$12\\times 10^{-2}\\mathrm{~m}$
Height $(\\Lambda)$$12\\times 10^{-2}\\mathrm{~m}$
Thickness $(\\Theta)$0.012 m
Gas flow channel(anode, cathode)Channel length $(l_{ch})$$3.0\\times 10^{-1}\\mathrm{~m}$
Number of channel $(N_{ch})$10
Number of U-turn $(N_t)$3-8
Hydraulic diameter $(d_h)$0.75-2.25 mm
Manifold hydraulic diameter$(D_h)$12.5-20.0 mm
Gas inlet temperature $(T_{in})$353.15 K
Coolant pathPath length $(l_{ch,w})$$3.0\\times 10^{-1}\\mathrm{~m}$
Hydraulic diameter $(d_{h,w})$1.5 mm
Number of channel $(N_{ch,w})$10
Number of turn $(N_{t,w})$3
Manifold hydraulic diameter$(D_{h,w})$20.0 mm
Coolant inlet temperature$(T_{in.w})$353.15 K
Coolant flow rate $(Q_w)$$0.85\\times10^{-4}\\ \\mathrm{to}$$2.84\\times10^{-3}\\ \\mathrm{m}^{3}\\ \\mathrm{s}^{-1}$
Reynolds number $(Re_{Dh})$$1.48\\times10^{4}\\ \\mathrm{to}$$4.95 \\times 10^{5}$
StackNumber of cell $(N_{cell})$51
Anode stoichiometry $(\\zeta_{\\mathrm{A}})$1.2
Cathode stoichiometry $(\\zeta_{\\mathrm{C}})$2.0
Current density (J)$0.5~A~s^{-2}$
Electrode backingThickness $(\\delta)$$2.5\\times 10^{-4}\\mathrm{~m}$
Porosity $(\\phi)$0.4
Catalyst layerThickness $\\left(\\delta_{\\mathrm{c}}\\right)$$2.0465 \\times 10^{-5} \\mathrm{~m}$
MembraneThickness $\\left(\\delta_{\\mathrm{m}}\\right)$$1.64 \\times 10^{-4} \\mathrm{~m}$
"} {"image_path": "images/3cb3ff43b6bece3a8ca0ac91041dfbee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ControlsSolvent AbusersP<
Sleeping difficulties13/102(12.7%)16/101(15.8%)NS
Not eating13/103(12.6%)27/102(26.5%)0.01
Stomach aches9/103( 8.7%)25/100(25.0%)0.01
Headaches21/102(20.6%)27/ 99(27.3%)NS
Tense/nervous10/102( 9.8%)15/ 98(15.3%)NS
Poor concentration17/103(16.5%)43/101(42.6%)0.001
Worrying14/102(13.7%)27/102(26.4%)0.05
Teased/bullied4/103( 3.9%)5/100( 5.0%)NS
Involved in fights1/103( 1.0%)19/101(18.8%)0.001
Stealing1/102( 1.0%)15/100(15.0%)0.001
Destructive0/102( 0.0%)8/100( 8.0%)0.01
Truancy4/101( 4.0%)26/102(25.5%)0.001
Misery10/103( 9.7%)18/101(17.8%)NS
Loneliness6/102( 5.9%)15/101(14.8%)0.05
Womied about health7/102( 6.9%)15/102(14.7%)NS
Mean (SD)Mean (SD)
Total score13.7(7.1)20.3(6.8)0.001
"} {"image_path": "images/db66d8e6c82281342c85ab8b40778e5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Leadincm DateTotaltimeinhours Totalnumberofcounts Meantemper-ature Correl.coefficientTemperatureeffect
01941 VI662.716520.7°-0.702$ -0.243 \\pm 0.084$
1942 XII477.11250.1
1943 III192.94610.3
101941 VII466.59420.2+0.914$+1.015 \\pm 0.077$
1941 IX520.510615.4
1943 II343.8594.6
151941 IX321.27513.4+0.939$+1.152 \\pm 0.070$
1941 XII383.474-2.1
1943 II356.4782.9
201941 X230.0555.6+0.279$+0.861 \\pm 1.35$
1941 XI249.8451.1
1943 I478.0106-2.2
251941 III284.0520.7+0.950$+0.793 \\pm 0.039$
1941 X305.2577.0
1943 I359.261-5.0
351941 I416.576-2.7+0.530$+0.400 \\pm 0.26$
1941 V366.46818.3
1943 VI398.08516.5
401940 XII312.757-8.0+0.107$+0.082 \\pm 0.36$
1941 X344.75712.0
327.06515.2
451941 JI333.960 2.0+0.780$+1.06 \\pm \\mathbf{0 . 2 5}$
1941 IV429.87710.0
1943 V439.59114.8
501941 III406.5594.4+0.946$+1.562 \\pm 0.082$
1941 IV408.88010.0
1943 IV411.88315.2
"} {"image_path": "images/45b524c1c57c80e5eb9b1e804bb49aed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cleanroom classParticle/m$^3$
Warning valueAction valueLimit value
0.5 μm5 μm0.5 μm5 μm0.5 μm5 μm
In operation A1,760102,640153,52020
In operation B176,0001,450264,0002,175352,0002,900
In operation C1,760,00014,5002,640,00021,7503,520,00029,000
In operation D----Not specified
At rest A1,760102,640153,52020
At rest B1,760152,640223,52029
At rest C176,000150264,000220352,0002,900
At rest D1,760,0001,5002,640,0002,2003,520,00029,000
CFU/m$^3$
In operation A<0.5<0.75<1
In operation B57.510
In operation C5075100
In operation D100150200
"} {"image_path": "images/c628cd0f7701c81381929e0ab150d6c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterUnitsHg correlation$coefficients^a$
Total Ag sediment$\\mu g/g$0.83$^{\\ast}$
concentration
Total Al sediment$\\mu g/g$0.03
concentration
Total Cr sediment$\\mu g/g$$ \\begin{array}{r} 0.95^{\\ast\\ast\\ast} \\\\ \\end{array} $
concentration
Total Cu sediment$\\mu g/g$0.55
concentration
Total Fe sediment$\\mu g/g$0.56
concentration
Total Mn sediment$\\mu g/g$-0.17
concentration
Total Pb sediment$\\mu g/g$$ 0.99^{\\ast\\ast\\ast} $
concentration
Gravel ( >2 mm)$ \\%$ by weight $0.27
$\\text{Sand } (2\\ \\text{mm} > x < 50\\ \\mu\\text{m})$$\\%$ by weight-0.82$^{\\ast}$
Silt $(50\\mu m>x<2\\mu m)$$\\%$ by weight0.53
Clay $(x<2\\mu m)$$\\%$ by weight0.47
pHunitless-0.18
Organic carbon$\\mathrm{mg} \\mathrm{~kg}^{-1}$0.32
Cation exchange capacity$\\mathrm{cmol}_{(+)} / \\mathrm{kg}$0.83$^{\\ast}$
Anion-exchange capacity$\\mathrm{cmol}_{(-)} / \\mathrm{kg}$0.80$^{\\ast}$
Fe $oxides^b$% $\\mathrm{Fe}_{2} \\mathrm{O}_{3}$ by weight$0.94^{\\ast\\ast}$
"} {"image_path": "images/28feb4619c7dd1274907318fffb4b029.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ComplexStepThermal effectTemp. interval/$^\\circ C$$\\Delta m_{\\text {exp }} / \\%$$\\Delta m_{\\text {calc }} / \\%$
$\\mathrm{Mn}(\\mathrm{C}_{10}\\mathrm{H}_8\\mathrm{N}_2)(\\mathrm{C}_3\\mathrm{H}_3\\mathrm{O}_2)_2(\\mathrm{H}_2\\mathrm{O})_2$1endothermic125-1609.409.25
2exothermic210-25013.2013.37
3exothermic250-27057.0057.07
residue $(Mn_2O_3)$20.4020.31
$\\mathrm{Ni}(\\mathrm{C}_{10}\\mathrm{H}_8\\mathrm{N}_2)(\\mathrm{C}_3\\mathrm{H}_3\\mathrm{O}_2)_2(\\mathrm{H}_2\\mathrm{O})_2$1endothermic120-1559.399.25
2exothermic220-48070.9571.46
residue (NiO)19.6519.28
$Cu_2(C_{10}H_8N_2)(C_3H_3O_2)_4$1exothermic170-46071.9771.96
residue (CuO)28.0328.04
$Zn_2(C_{10}H_8N_2)(C_3H_3O_2)_4(H_2O)$1endothermic160-2003.283.06
2exothermic200-27017.7517.69
3exothermic270-31010.5210.20
4exothermic310-56040.7641.50
residue (ZnO)27.6927.55
"} {"image_path": "images/64df12485b0c66c4b8d5c3233466c995.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Treatment$\\mathrm{APAR(\\mu Em^{-2}s^{-1})}$Integration of $^{1}$$({\\mu}moles\\ CO_{2}$$m^{-2})$
RORS25050015002000
$\\mathrm{NCE~(\\mu moles~CO_2~m^{-2}s^{-1}})$
NS0.1810.115.824.826.739524
EW0.189.715.224.426.436284
NS0.539.615.124.326.339887
EW0.539.114.423.725.837488
"} {"image_path": "images/020acf28a9186381e55afcb15ffb3c84.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Pindyck$~(1979) { }^{1}$Sweeney$~(1978)^{2}$Wildhorn et al.$~~(1974) { }^{2}$ CRA$(1975)^{3}$ DRI$(1973)^{2}$
Gasoline Price Elasticity
Long-run total cons:-2.07-.78-.78-1.37-.23
Driving:-.06-.36
Ownership:-.64-.36-.25
MPG:1.43.72.17
Short-run total cons:-.37-.22-.26-.28-.07
Driving:-.22
Ownership:-.26
MPG:.11.01
Income Elasticities
Long-run total cons:.96.82.88.06.94
Driving:.66.82
Ownership:.30.88
MPG:
Short-run total cons:.18.18.012.28
Driving:.06
Ownership:.12
MPG:
"} {"image_path": "images/82eeacd132e4a7922b1f37197af4694c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
conditions speciesinterfacial $parameters^a$
aqueous phase pH organic phaseinterface K'/dm$\\mathrm{K}_{\\mathrm{f}} / \\mathrm{dm}^{3} \\mathrm{~mol}^{-1}$
divalent metal $complex^b$ ascorbic acidCo(TPP)$<10^{-6}$
$H_2O$Ni(TPP)$<10^{-6}$
$H_2O$Cu(TPP)$<10^{-6}$
$H_2O$Zn(TPP)Zn(TPP)$2.1 \\times 10^{-4}$
$H_2O$VO(TPP)VO(TPP) $6.1 \\times 10^{-5}$
iron(III) complex$H_2O$$[\\mathrm{Fe}(\\mathrm{TPP})]_{2} \\mathrm{O}$$ [Fe(TPP)]_2 O $$3.8 \\times 10^{-5}$
≤3.3Fe(TPP)ClFe(TPP)Cl$8.4 \\times 10^{-5}$
$CI^{-c}$≥4.7 $[\\mathrm{Fe}(\\mathrm{TPP})]_{2} \\mathrm{O}$$ [Fe(TPP)]_2 O $$5.9 \\times 10^{-5}$
≤5.1 Fe(TPP)(SCN)Fe(TPP)(SCN)$ 1.0\\times 10^{-5} $
$SCN^{-d}$≥6.6 $ \\mathrm{[Fe(TPP)]}_{2} \\mathrm{O} $$ [Fe(TPP)]_2 O $$3.6 \\times 10^{-5}$
$ClO_4^{~-c}$1.04-5.93$\\left.[\\mathrm{Fe}(\\mathrm{TPP})]_{2} \\mathrm{O}\\right.$$ [Fe(TPP)]_2 O $$ 7.3\\times 10^{-5} $$2.8\\times 10^{3}$
$[{\\{Fe(TPP)_{2}\\}}$${(OH)(H_{2}O)]^{+}}$
$NO_3^{~-c}$1.29-5.42$\\left.[\\mathrm{Fe}(\\mathrm{TPP})]_{2} \\mathrm{O}\\right.$$ [Fe(TPP)]_2 O $$ 5.1 \\times 10^{-5} $$2.2 \\times 10^{3}$
${[\\{Fe(TPP)_{2}(OH)(H_{2}O)\\}]^{+}}$
"} {"image_path": "images/07a378ee850315694bd01de69107f444.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ingredients(g/kg diet)Nofibre10% dietary fibre in the form of
Wheat branMethylcelluloseGuar gum
Corn starch530390488522
Casein200113160180
Sucrose1009812290
Fibre280100101
Soybean oil70728262
Vitamin mix1010109
Mineral mix35353531
L-cystine3333
Choline chloride1.3111
"} {"image_path": "images/57cc85524a15f44bf2ac1c1404ed8c30.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table I. Known Impurity Recovery Study Using SpikedSolutions*
LevelofspikeImpurity analog Actualweighedspike level(% w/w)Measuredlevel*Recovery(%)
0.0Ethyl ester00-
Ketone-ethyl ester00-
0.1Ethyl ester0.110.13118
Ketone-ethyl ester0.100.10100
0.2Ethyl ester0.220.2195
Ketone-ethyl ester0.200.1995
0.6Ethyl ester0.660.6395
Ketone-ethyl ester0.590.59100
1.0Ethyl ester1.091.07102
Ketone-ethyl ester0.980.99101
1.5Ethyl ester1.621.5998
Ketone-ethyl ester1.461.4297
$\\text { * Corrected by response factors. }$
"} {"image_path": "images/d3d00f73f16bef5780395093f99acec4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号No.检 查 内 容(inspection content)月 度 month检修负责人Inspect incharge养护负责人Maintainin charge养护周期period备注remark
123456789101112
15螺丝和螺帽等(Bolts and Nuts,etc):损坏、变形和锈蚀检查有无松动或丢失。Check the bolts and nuts etc. is not damaged/de-formed/rusted.大副C/O水手长BOSUN每周和每次演习Weekly anddrilling
16备件(Spare Part):没有丢失。No find missing items.大副C/O水手长BOSUN每次演习Drilling
17吊艇绞车齿轮箱(Winch Gear Case);有无漏油。Check the oil leaking condition for winch gear case.大副C/O三管轮4/E每周Weekly
检查实际油量,齿轮油有无严重污染。Check the oil level and Soil in winch gear case.大副C/O三管轮4/E每次演习和每月Monthlyanddrilling
箱体内有无杂质和水。Check the impurity and water in the oil gear case.大副C/O三管轮4/E每年Annually
18吊艇绞车齿轮(Winch Gear):响声、温度和振动;齿轮表面的磨损、损坏。Check the noise/temperature/vibration Situation;check wear and damage on the surface of the gear.大副C/O水手长BOSUN每次演习和每月Drilling andmonthly
19轴承(Bearing):响声、温度和震动;有无松动和脱离。Check the noise/temperature/vibration Situation;check slippage and came off situation.大副C/O水手长BOSUN每次演习和每月
20油封(Oil Seal):检查油封状况。Check the condition of oil seal (i. e. damage/lea-king).大副C/O水手长BOSUN每周和每次演习Weekly anddrilling
"} {"image_path": "images/24a6b90a6a503c729dcf0a4bb723cb7c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\sigma(0^{\\circ})/\\pi a^{2}$$\\sigma_\\perp(90^{\\circ})/\\pi\\boldsymbol{a}^2$
kaSmall diskExactSmall diskExact
0.050.4503(-5)0.1013(-4)0.1012(-4)
0.10 0.7206(-4)0.1621(-3) 0.1618(-3)
0.200.1153(-2)0.120 (-2)0.2594(-2)0.2576(-2)
0.400.1844(-1)0.2188(-1)0.4150(-1) 0.4044(-1)
0.600.9338(-1)0.1368(0) 0.2101(0)0.1989(0)
0.80 0.2951(0)0.5695(0) 0.6640(0)0.5972(0)
0.94 0.5625(0)0.1327(+1)0.1266(+1)0.1052(+1)
1.000.7205(0)0.1833(+1) 0.1621(+1)0.1274(+1)
"} {"image_path": "images/2eb0ec82ea0ce9ca3ae55eb759eae3fb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleProductsNumberof moleswt%Temperature(adiabatic) (K)
S1$Al_2O_3(L)$4.366952.492326.8213
$Al_2O_3(S)$0.63317.61
$ZrB_2(S)$339.90
S2 (S1 + 0.885905Ti)AI(L)0.59061.792326.9236
$Al_2O_3(L)$3.723542.62
$Al_2O_3(S)$0.981211.23
TiB(S)0.88595.84
$ZrB_2(S)$2.557032.39
$ZrO_2(S)$0.44306.13
S3 (S1 + 1.77181Ti)AI(L)1.18123.422326.6576
$Al_2O_3(L)$3.082333.68
$Al_2O_3(S)$1.327114.50
TiB(S)1.771811.15
$ZrB_2(S)$2.114125.56
$ZrO_2(S)$0.885911.70
S4 (S1 + 2.657716Ti)AI(L)1.77184.902326.6216
$Al_{2}O_{3}(L)$2.439725.50
$Al_2O_3(S)$1.674417.50
TiB(S)2.657715.99
$ZrB_2(S)$1.671119.33
$ZrO_2(S)$1.328916.78
S5 (S1 + 3.543621Ti)AI(L)2.36246.262326.2284
$Al_2O_3(L)$1.801318.04
$Al_2O_3(S)$2.017520.21
TiB(S)3.543620.44
$ZrB_2(S)$1.228213.61
$ZrO_2(S)$1.771821.44
"} {"image_path": "images/8240730fe14b435a9884d63d76f0e92b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份国内原油参照国际原油国家公布的基准价格/$元·t^{-1}$ 贴水/元· $\\mathrm{t}^{-1}$原油出厂价格/元·t$^{-1}$
种类名称名称新加坡离岸价/$美元·桶^{-1}$不含税含税
1月轻质油吐哈塔波斯10.92729-136593693.81
中质油I大庆、冀东、华北米纳斯9.89624+62686802.62
塔里木米纳斯9.89624-105519607.23
中质油I大港辛塔9.46591+41632739.44
重质油杜里8.964520
2月轻质油吐哈塔波斯12.243815-136679794.43
中质油I大庆、冀东、华北米纳斯10.87685+62747873.99
塔里木米纳斯10.87685-105580678.60
中质油I大港辛塔10.472653+41694811.98
重质油杜里10.278594
3月轻质油吐哈塔波斯11.545770-136634741.78
中质油1大庆、冀东、华北米纳斯10.76678+62740865.8
塔里木米纳斯10.76678-105573670.41
中质油I大港辛塔10.476653+41694811.98
重质油杜里10.055582
"} {"image_path": "images/eadf8114931ed28ee9bcda45d0b6bdc4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CurrentholdingsOptimalmixes
Active risk budget (%)1.250.000.501.001.251.502.00
Expected alpha (%)0.890.000.541.081.351.622.16
Information ratio0.71-1.081.081.081.081.08
Manager allocations (%)
Large-cap index45.086.067.047.538.228.57.3
Small-cap index0.014.010.06.04.02.00.0
Large-cap enhanced20.00.011.523.228.934.747.3
Large growth active10.00.02.04.04.95.98.1
Large value active10.00.02.14.35.36.48.6
Small growth active7.50.02.04.04.95.97.0
Small value active7.50.02.04.15.16.17.5
Hedge fund (equitized)0.00.03.47.08.710.414.2
"} {"image_path": "images/d6b818f499251b7dccc4b8c32ea2d322.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0.01010.01370.01590.01700.01750.01750.01700.01590.01370.0101
0.01370.01650.01780.01830.01850.01850.01830.01780.01650.0137
0.01590.01780.01850.01880.01890.01890.01880.01850.01780.0159
0.01700.01830.01880.01890.01900.01900.01890.01880.01830.0170
0.01750.01850.01890.0190ProcessUnit0.01900.01890.01850.0175
0.01750.01850.01890.01900.01900.01890.01850.0175
0.01700.01830.01880.01890.01900.01900.01890.01880.01830.0170
0.01590.01780.01850.01880.01890.01890.01880.01850.01780.0159
0.01370.01650.01780.01830.01850.01850.01830.01780.01650.0137
0.01010.01370.01590.01700.01750.01750.01700.01590.01370.0101
"} {"image_path": "images/9d79ed9feebf3aa4adf96f4f177a0623.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
孵化期一龄二龄三龄四龄五龄成虫 - 羽化羽化 - 产卵
4
-
--
5---
--
--
6--
--
-
7-
-
-
8-
-
-
9-
-
-
10-
-
-
"} {"image_path": "images/5a0981ce9f0c9ebda71be90c5531ac0a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
牌 号热 处 理 制 度瞬 时 拉 伸 性 能室温冲击$a_k$$\\text{kgf·m/cm}^2$不小于室温硬度HB( d压痕直径)mm高温持久性能
新牌号原牌号试验温度℃抗拉强度$\\sigma_b$$\\text{kgf/mm}^2$屈服强度$\\sigma_{0.2}$$\\text{kgf/mm}^2$伸长率$\\delta_5$$\\%$断面收缩率$\\phi$$\\%$试验温度℃应 力$\\mathrm{kg} \\mathrm{f} / \\mathrm{mm}^{2}$时 间h不小于
不小于
GH1140GH1401080℃空冷室温8006325-40404550-----
GH2036GH361140℃或1130℃*保温1小时20分,水冷;650~670℃保温14~16小时升温至770~800℃保温14~20小时,空冷室温8560152033.45~3.65650 38(35) 35(100)
GH2132GH132980~990℃保温1~2小时,油冷;710~720℃保温16小时,空冷室温65095756320153033.4~3.865040100
GH2135GH1351140℃保温4小时,空冷;830℃保温8小时,空冷;650℃保温16小时,空冷室温 90*8260601310161333.4~3.8750 35(30) 50(100)
GH3030GH30980~l020℃,空冷室温70065-30 30------
GH4033GH331080℃保温8小时,空冷;750℃保温16小时,空冷室温 90*82606013101613333.4~3.8750 35(30) 50(100)
"} {"image_path": "images/ddd712db13e9720505edbf5dcd4e5594.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Controls(n=17)Patients (n=25)
Mean L, (mm)21.4019.99 (p<0.05)
SD L, (mm)10.959.56 (p<0.05)
Q75 L, (mm)29.525.5 (p<0.05)
"} {"image_path": "images/f8c8a70385e5959db436751c59b5364c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
考核评比项目的内容项目分值
配分得分
自查互查教师评分综合得分
专业能力60%安装前准备与检查元器件和工具、仪表准备数量是否齐全1分
电动机质量检查1分
电气元件漏检或错检2分
工作过程安装元件安装的顺序安排是否合理2分
工具的使用是否正确、安全2分
电器、线槽的安装是否牢固、平整、规范2分
布线不按电路图接线5分
布线不符合要求2分
接点松动、露铜过长、压绝缘层、反圈等3分
漏套或错套编码套管1分
漏接接地线1分
导线的连接是否能够安全载流、绝缘是否安全可靠、放置是否合适3分
通电试车电动机接线是否正常2分
第一次试车不成功4分
第二次试车不成功2分
第三次试车不成功2分
工作成果的检查线槽是否平直、牢靠,接头、拐弯处是否处理平整美观3分
电器安装位置是否合理、规范2分
环境是否整洁干净1分
其他物品是否在工作中遭到损坏1分
整体效果是否美观2分
整定值是否正确,是否满足工艺要求1分
熔断器的熔体配置是否正确1分
是否在定额时间内完成2分
安全措施是否科学2分
综合能力40%信息收集整理能力收集和处理信息的能力4分
独立分析和思考问题的能力3分
完成工作报告3分
"} {"image_path": "images/39ab3176689081ae177080f9fca89c92.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Methyl phenols
PhenolpH 8.0pH 10.0
AbsorbanceAbsorptivityAbsorbanceAbsorptivity
(1 $\\mathrm{cm}^{-1} \\mathrm{~g}^{-1}$ )$\\left(1 \\mathrm{~cm}^{-1} \\mathrm{~g}^{-1}\\right)$
4-No reactionNo reaction
2,6-$0.112 \\pm 0.006$$50.2 \\pm 2.6$$0.066 \\pm 0.003$$ 29.6 \\pm 1.5 $
2,4- No reactionNo reaction
2,5-$0.115 \\pm 0.012$$51.6 \\pm 5.4$$0.070 \\pm 0.004$$31.4 \\pm 1.79$
3,4-$0.010 \\pm 0.005$$ 4.5\\pm 2.2 $No reaction
3,5- $0.057\\pm 0.005$ $25.6 \\pm 2.2$ $0.048 \\pm 0.003$ $21.5 \\pm 1.2$
Methoxy phenols
4-$0.155 \\pm 0.010$$ 69.5 \\pm 4.5 $$0.095 \\pm 0.004$$42.6 \\pm1.7$
3-$ 0.166 \\pm 0.007 $$ 74.4 \\pm 3.1 $$0.133 \\pm 0.005$$59.4 \\pm 2.1$
"} {"image_path": "images/34373a1a7dba316f4fd29aa89ca033ed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Independent Variables InvestmentCommitment PersistentUnderassessmentof Risk
Intercept-8.56$^ {\\star\\star}$(2.08)1.58$^ {\\star\\star}$(0.23)
Change in monitoring-8.02$^ {\\star\\star}$(2.15)
Change in decisionresponsibility-8.29$^ {\\star\\star}$(2.34)
Threat of change inmonitoring0.47$^ {\\star\\star}$(0.19)
Threat of change inresponsibility0.50$^ {\\star}$(0.26)
Duration of relationship4.43$^ {\\star}$(2.12)1.21$^ {\\star\\star}$(0.36)
Prior size of commitment-4.41$^ {\\star}$(1.93)-0.18(0.17)
Prior branch performance7.18$^ {\\star\\star}$(2.08)-0.11(0.18)
Size of the branch2.16(2.49)-0.63$^ {\\star\\star}$(0.22)
Adjusted $R^2$.31
F12.47$^ {\\star\\star}$
$χ^2$36.61$^ {\\star\\star}$
n155219
"} {"image_path": "images/a2af6f1564882942f2052d39aaa38dd2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temperaturccm $CO_2$ccm CO ccm $H_2$Mol/Fe$H_2$
$CO_2$CO
bis $40^{\\circ}$-15.3--0.318-
$40-80^{\\circ}$ 0.1814.2-0.0040.295-
$80-\\mathrm145^{\\circ}$0.3662.215.20.0081.2900.316
$\\mathrm{CO}_2+{\\mathrm{CO}=1.915} \\mathrm{Mol}$.
"} {"image_path": "images/52501fb984cfce7d5ee734e85e030c47.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Substituent$\\sigma^{*}$$\\text{Relative rate } (k_{\\text{rel}})_+$$>\\text{C}=\\dot{\\text{O}} - \\bar{\\text{O}}\\S$
${^{1}O_{2}}\\dagger$$.>\\mathbf{S}=\\mathbf{O}-\\mathbf{\\bar{O}}\\dagger$
$p-\\text{NO}_2$0.780.300.240.51
$\\mathrm{p-Cl}$0.230.930.920.94
H0.00111
$\\mathrm{p-Me}$-0.171.851.671.05
$\\mathrm{p-OMe}$-0.272.461.901.16
"} {"image_path": "images/039bdf8f9e43c499b5663013adb3f1f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
b/aReferencesMode
1st2nd3rd4th5th6th7th8th9th10th
1Present15.16523.90239.38854.08362.70577.32185.695105.29121.34126.25
FEM15.16723.90639.39754.10862.74477.36485.732105.39121.50126.35
1.5Present9.197018.19526.29431.68344.14253.63759.02168.34675.46784.464
FEM9.197518.19826.30031.68844.15753.65759.05768.38575.50384.519
2Present6.555114.03520.02625.89730.63736.82946.13353.04858.29265.254
FEM6.555214.03720.02925.90230.64536.83546.15153.06758.32465.295
2.5Present5.355010.46116.93321.73524.93130.10533.71140.34246.93752.833
FEM5.355010.46216.93621.73924.93630.11033.72040.34946.95752.851
3Present4.73498.283613.64218.65723.14224.58328.51232.99436.33342.681
FEM4.73498.283713.64318.66123.14824.58728.51733.00036.34342.689
3.5Present4.37936.950511.04816.00920.01523.20625.43027.31731.55534.911
FEM4.37936.950511.04816.01120.01923.21125.43627.32131.56134.918
4Present4.15826.09299.252713.42217.68721.31923.04725.36927.51329.859
FEM4.15826.09289.252713.42217.69021.32423.05225.37327.52029.862
4.5Present4.01205.51448.002611.38815.37118.93922.41523.05824.92427.522
FEM4.01205.51438.002411.38815.37218.94522.42023.06324.92927.524
5Present3.91045.10817.10849.871113.28416.91420.03322.56823.75124.694
FEM3.91055.10807.10829.870813.28416.91720.04022.57223.75624.699
"} {"image_path": "images/a57b81dfc19f07fba8993e6d33a2f323.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Elastic wave velocity (m/s)
SNLayer depth (m)Layer geologyS waveP wave
10.0-45.0Recent sand deposit/Banjin formation310650
245.0-83.0Banjin/Yasuda formation3501590
383.0-170.05001670
4170.0-205.0Nishiyama formation5801780
5205.0-250.06401780
"} {"image_path": "images/5a1b3e0f3c977d346a716b528cd4e79b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
规 范(见图93)渗碳温度(℃)奥氏体的晶粒尺寸(mm)$ \\begin{gathered} D_{\\mathrm{q} \\phi \\phi} \\times \\\\ 10^{7} \\\\ \\left(\\mathrm{~cm}^{2} / \\mathrm{s}\\right) \\end{gathered} $规 范(见图93)渗碳温度(℃)奥氏体的晶粒尺寸(mm)$ \\begin{gathered} D_{\\mathrm{q} \\phi \\phi} \\times \\\\ 10^{7} \\\\ \\left(\\mathrm{~cm}^{2} / \\mathrm{s}\\right) \\end{gathered} $
A9430.0262.25B9400.0781.93
9580.0282.729550.0792.31
9800.0303.289790.0802.92
10100.0364.4210100.0823.16
"} {"image_path": "images/40b4e6f11c97bffc45366df28fe2be69.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SoilSoil particle (mm)Bulkdensity$\\theta_{\\mathrm{i}} ^ \\mathrm{~a)}$$\\theta_{\\mathrm{r}} ^ \\mathrm{~b)}$
$<0.001$0.001-0.01 0.01-0.050.05-0.500.50-1.00
Eum-Orthic Anthrosol%$\\text{g cm}^{-3}$_ $cm^3$$cm^{-3}$ _
7.3835.48 48.80 7.120.271.3120.1550.04
Los-Orthic Entisol11.1119.5848.4719.540.221.1500.0260.02 0.02
"} {"image_path": "images/747660f81a1644a7a1451bba6a797084.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model E1: current health state
Effect[95% CI of effect]
Fixed effects
Intercept79.01***[74.07, 83.95]
L1-predictors
Time (months with 2 decimals)0.07[-0.47, 0.61]
Disease control (good)5.55***[2.91, 8.19]
Health complaints-0.98***[-1.22, -0.74]
Mental health problems-0.44***[-0.69, -0.19]
L2-predictors
Gender (female)-2.24[-5.67, 1.19]
Age (years)-0.93**[-1.64 , -0.21]
Socio-economic status-0.32[-0.83, 0.19]
Migration background (given)3.49[-3.78,10.75]
Center (Luebeck)0.62[-2.39,3.63]
Asthma (ref. juvenile arthritis)-0.49[-6.00, 5.03]
Diabetes (ref. juvenile arthritis)1.58[-2.61, 5.76]
Duration of disease (years)0.25[-0.13, 0.62]
Comorbid disease (at least one)-2.06[-5.47, 1.36]
Interactions
Time x gender-0.51[-1.27, 0.26]
Gender x age-0.44[-1.42, 0.54]
Random effects
Residual137.55***[119.04, 158.95]
Intercept64.93***[39.60, 106.45]
Time0.01***[0.00, 0.01]
Intercept*time-0.80[-5.06, 3.46]
"} {"image_path": "images/49b068acaae8c5cd5494f198e42bcc62.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$σ_0$$d_B$$ \\begin{array}{c}V_{B} \\\\ \\text { 千米 } \\cdot \\mathrm{秒}^{-1}\\end{array} $三 种 空 隙 率 下 的 ξ 值
$ 7.5\\times 10^{-2} $$ 15\\times 10^{-1} $$ 2.5\\times 10^{-1} $
$ 1.75\\times 10^{-1} $2.33.6$ 8.5\\times 10^{-1} $$ 7.2\\times 10^{-1} $$ 6.8\\times 10^{-1} $
4.6$ 8.2\\times 10^{-1} $$ 7.7 \\times 10^{-1} $$6.8 \\times 10^{-1}$
2.53.6$9.3 \\times 10^{-1}$$ 7.8\\times 10^{-1} $$ 7.4\\times 10^{-1} $
4.6$9.0 \\times 10^{-1}$$7.7 \\times 10^{-1}$$7.4 \\times 10^{-1}$
$ 2.5\\times 10^{-1} $2.33.6$ 9.5\\times 10^{-1} $1.721.32
4.6$9.8 \\times 10^{-1}$1.081.15
2.53.61.011.161.41
4.6$ 9.8\\times 10^{-1} $1.081.22
"} {"image_path": "images/efff67cc64db7c43c239bfe4cf3c0b73.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SYMBOLDESCRIPTION
ABSOABSOrbency
APHORAverage PHOtosynthetic Rate
ASRAngle of Sun, Radians
ASDAngle of Sun, Degrees
ATEMPAverage water TEMPerature
CANLCANopy Length (that portion of frondlength \"greater than\" water depth)
CTRANSlight TRANSmitted through Canopy,percent
C1,C2particle concentration
CC1,CC2. . . CC4coefficients in photosynthetic ratepolynomial
DADeclination (Angle), radians
DADDeclination (Angle), Degrees
DAYSduration of simulation run
DFRLchange of frond length(Delta Frond Length)
DINCDaily time INCrement
DLDayLength, sunrise to sunset,1/100ths of day
DPTMwater DePTh,Meters
DTFDistance: water surface to Tip of Frond
FRLFRond Length
HAHour Angle, radians
"} {"image_path": "images/c3604d1af2234e022b6d779a2e7feef1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
impact energy3000kNm8000kNm
termination criterion5cm10cm15cm15cm20cm25cm
coefficient A136.2196.8582.11108.53101.3280.45
coefficient B-0.352-0.446-0.489-0.214-0.271-0.277
"} {"image_path": "images/780bc6da1cfb80d1f1d01749805faae1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SpeciesNo. juveniles/Total no.individualsEstimated gbh atmaturity (mm)Annual mortality Pearson'scoefficient,r
slowestgrowingquartile fastestgrowingquartile
Cecropia membranacea53/7210000.1270.0000.82
Cedrela odorata111/16815000.0420.0140.69
Citharexylum poeppigii47/707000.1060.0000.84
Ficus insipida103/19415000.0590.0140.91
Guarea guidonia272/44110000.0980.0100.81
Guazuma crinita19/416000.1880.0610.83
Inga marginata126/1696000.1900.0280.77
Sapium aereum115/2195000.0970.0130.81
"} {"image_path": "images/32d83255e9b9fcb4bcf2f8f98b47e6ad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Registry no.Surfactant $10^{4}\\:k_{\\mathrm{m}},\\:\\sec^{-1}$ $10^3$ $(k_{\\mathbf{RNH3^+}}$+$k-_{O2\\mathrm{CR'}}),\\:M^{-1}$$\\sec^{-1}$
17081-35-5BAP5.761.50
39107-99-8HAP7.373.32
39108-00-4OAP6.564.90
39108-01-5DeAP13.412.0
17448-65-6DAP9.2018.7
$DAP^a$23.299.1
41029-73-6OAB11.54.00
41029-74-7OAN14.311.6
41029-75-8OAD19.011.4
17463-35-3OAT16.59.77
"} {"image_path": "images/87435dec8b49caf4c68be35ef3592370.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
bacterialstrain watercontactangle $\\theta\\left[{ }^{\\circ}\\right]$$\\begin{array}{c}\\text{EPM} \\\\{[\\mu\\text{s}^{-1}} \\\\\\text{V cm}^{-1}]\\end{array}$$\\begin{gathered}\\text { zeta } \\\\ \\text { potential } \\\\ \\zeta[\\mathrm{mV}]\\end{gathered}$$\\begin{gathered}\\text { initial cell } \\\\ \\text { density } \\times 10^6 \\\\ \\text { [number of cells } \\\\ \\text { per } \\mathrm{mm}^2 \\text { ] }\\end{gathered}$percentage of attached cells [%]retained cells ${ }^a \\times 10^5$ [number of cells per $\\mathrm{mm}^2$ ]
Ti film thickness [nm]
312150312150
P. aeruginosa$ 43.3\\pm 8 $$ -1.1\\pm 0.1 $$ -14.4 \\pm 0.7 $$13.0 \\pm 1.5$$0.5 \\pm 0.2$$ 0.7\\pm 0.3 $$1.4 \\pm 0.3$$0.8 \\pm 0.1$$1.0 \\pm 0.2$$1.8 \\pm 0.4$
S. aureus$72.2 \\pm 8$$-2.8 \\pm 0.8$$-35.2 \\pm 1.0$$20.8 \\pm 1.7$$1.1 \\pm 0.2$$2.9 \\pm 0.3$$5.8 \\pm 0.2$$2.3 \\pm 0.3$$6.0 \\pm 1.1$$12.0 \\pm 1.7$
"} {"image_path": "images/78e76f49398297feb0f42f63a4f999bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No. of trialDoublet 1Doublet 2
$\\delta$/Fe$\\Delta E_Q$$\\Gamma$%$\\delta$/Fe$\\Delta E_Q$$\\Gamma$%
10·371·230·3362
21·22·550·457·40·371·250·3257
3 1·22±0·05 2·52±0·10 0·38±0·12 5·3±2·9 0·36±0·003 1·26±0·01 0·30±0·03 33·0±6·3
4 1·27±0·11 2·37±0·21 0·48±0·16 6·4±3·9 0·37±0·003 1·23±0·02 0·34±0·02 61·3±6·8
5 1·25±1·25 2·45±2·51 0·44±0·16 5·8±3·6 0·37±0·004 1·24±0·02 0·34±0·04 46·1±14·5
"} {"image_path": "images/2a982064d1da9d581d83ec181a859402.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sector
1234
Unknown reference roseRR ± standard deviation32±1692±8230±304±4
LSR solution-15156-10445
Standard error ofregression coefficient8888215107
Wind directionfrequencies $~ ~ ~~~∑~~a_{ij}$$~~~~{j=1\\ldots N_{\\text{DAYS}}}$1131283956
Difference with reference rose47-64134-41
"} {"image_path": "images/d5718e1f2ba2d318d0ff3d1c8c3fe039.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验评价地区正确基本正确不正确
全国活动水平O
危险区京西北至山西北部
天山地震带
西昆仑地震带
甘、青交界
内蒙古、宁夏交界
唐古拉山
苏鲁至南黄海O
O
O
马边、下关、通海
O
甘、川交界O
O
O
西藏O
O
O
"} {"image_path": "images/a10db8a3a5cfb67f3a342943d06af242.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Adsorption isotherm modelsConstantsTCP
298 K318 K338 K
Langmuir equation$R^2$0.9900.9960.990
$Q_m~(mg~g^{-1}$)167.7170.6195.2
$K_L~(L~mg^{-1}$)0.0200.0390.040
$R_L$0.1450.1580.130
Freundlich equation$R^2$0.9380.9180.940
$K_F~(L~mg^{-1}$)9.89022.3629.71
1/n0.5160.3940.353
"} {"image_path": "images/66c73024688a24fcd179941ac679cb94.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Crash Situation
Velocity30 Km/h$ \\begin{array}{l}50\\mathrm{~Km} /\\mathrm{h}\\end{array} $
InitialOptimalInitialOptimal
ObjectiveFunction(G)27.9817.79130.831.18
Violations(m)
Constraint 1$ -3.77 \\times 10^{-1} $$1.71 \\times 10^{-4}$$ 1.64 \\times 10^{-1} $$-5.7 \\times 10^{-3}$
Constraint 2$ -3.11 \\times 10^{-2} $$ -8.04 \\times 10^{-4} $$ -2.02\\times 10^{-2} $$-2.2 \\times 10^{-2}$
$\\mathrm{b}_{1}=\\mathrm{H}_{1}(\\mathrm{~mm})$300.099.3300.0352.6
$\\mathrm{b}_{2}=\\mathrm{H}_{2}(\\mathrm{~mm})$300.082.0300.0319.0
$\\mathrm{b}_{3}=\\mathrm{H}_{3}(\\mathrm{~mm})$400.0120.9400.0469.0
$\\mathrm{b}_{4}=\\mathrm{H}_{4}(\\mathrm{~mm})$500.0459.0500.0600.0
$\\begin{array}{c}\\text { CPU Time }(\\mathrm{s}) \\\\ \\text { Workstation HP 73 5 }\\end{array}$6 h 46 m10 h 4 m
"} {"image_path": "images/9e05892aa9293e7549d15c268edf6f92.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号基本控制项目一级标准二级标准三级标准
A 标准B 标准
1化学需氧量 (COD)5060100120
2生化需氧量 $(BOD_5)$10203060
3悬浮物(SS)10203050
4动植物油13520
5石油类13515
6阴离子表面活性剂0.5125
7总氮(以N计)1520
8氨氮(以N计)5(8)8(15)25(30)
9总磷(以P计)05年12月31日前建设11.535
06年1月1日起建设的0.5135
10色度(稀释倍数)30304050
11PH 值6~9
12糞大肠菌群数/(个/L)103104104
"} {"image_path": "images/8e10744821d2dda36201ff61e11f465c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MineralThermodynamictemperature (K) Thermodynamicequilibrium constant K$ \\begin{gathered} \\Delta G \\\\ (\\mathrm{kJ} / \\mathrm{mol}) \\end{gathered} $$ \\begin{gathered} \\Delta H \\\\ (\\mathrm{kJ} / \\mathrm{mol}) \\end{gathered} $$ \\begin{array}{c}\\Delta S\\\\ (\\mathrm{J} /(\\mathrm{mol}\\cdot\\mathrm{K}))\\end{array} $
Kaoline2883.48-8.33-29.5-73.3
2983.10-7.69
3082.68-6.86
2887.32-17.5
Montmorillonite2986.88-17.0-35.1-60.9
3086.37-16.3
"} {"image_path": "images/057d2e8e3a6725e1202d8e656f63cc36.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Grinding time$H_2 \\ concentration$$D_2 \\ concentration$Specific surface area
(min)(ppm)$(\\mu mol)$(ppm)$(\\mu mol)$$(m^2/g)$
0----0.691
1550.30.122.40.00722.09
3084.50.225.50.01652.86
451350.357.40.02223.9
601680.4312.70.03814.42
"} {"image_path": "images/8acbfba1037dd3cb6eda78ae52fe3554.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sucrose content (g/100 mL)
Sub-class 1 Sub-class 2 Sub-class 3Sub-class 4
11.98419.06220.797 21.11314.23015.91617.422
12.9323.17420.93120.04919.36519.51416.455
22.19320.50922.28913.67319.51418.010
22.39322.37822.27117.36519.96919.386
20.42121.74220.31120.09118.516
21.79822.02117.132
20.33722.02119.155
"} {"image_path": "images/91045d89007ab9cadec82ad786d4ad0e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
F
PositiveУтвердительная форма
ey will have played
ey will have gone
При образовании всех времен сьные глаголы берутся из mpemьe
Present
mple (Indefinite)Books are writteevery day.
ogressiveontinuous)The book is beinwritten now.
rfectThe book has jusbeen written.
"} {"image_path": "images/b8c9975f720f314814fa240aa82d20a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Size QuartilesBook-to-market quartiles
B1 (Low)B2B3B4 (High)
S1 (Small)$\\chi^2_{(5)}$22.217(0.001)5.863(0.320)7.380(0.194)13.303(0.021)
S2$\\chi^2_{(5)}$9.499(0.091)21.345(0.001)17.072(0.004)7.558(0.182)
S3$\\chi^2_{(5)}$13.721(0.018)8.394(0.136)10.528(0.062)11.489(0.043)
S4 (Big)$\\chi^2_{(5)}$14.356(0.014)9.233(0.100)9.862(0.079)9.530(0.090)
"} {"image_path": "images/eb8b9fd3bbac90dfa02723d2ce7fe84c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cross-sectionHO simulationReal data PanelHO simulationReal data
(1)(2)(3)(4)(5)(6)
ln Yi Yj 0.51(0.03) 0.63(0.03) 0.9(0.01) 0.54(0.03) 0.53(0.03) 0.61(0.03)
R20.570.650.510.830.860.48
N200200835910161016189105
"} {"image_path": "images/d9710a8c70f344f52c34cb8b5d58ae29.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sourceof variation Sumof squares Degreesof freedomMean squaresF-test
GP PGPPGPPGPP
Regression218,34718,106,96223109,173603,5651512.4
Residual57,8833,387,948877235483,992
Lack of fit56,9853,325,566659497665,113
Pure error89862,3822244931,191
Total276,23023,846,7111010
"} {"image_path": "images/f060903e028a7eaf491a74aa80fa7ee9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VALUES OF PARAMEIER C AND OF DISPERSION PARAMETERS $E_O$ AND $E_d$
Specimen$\\mathrm{[O_{2}](\\%)}$$E_{\\mathrm{d}}(\\mathrm{eV})$$E_{\\mathrm{0}}(\\mathrm{eV})$ $C\\left(\\mu m^{3}\\right)$
44507.2916.500.0037
46137.2015.98 0.0045
4856.6713.000.0087
492.57.4011.700.0122
From ref. 10
$E^{\\perp}c$7.7721.23
$E\\|c$8.3225.96
"} {"image_path": "images/26c6494b6ad13198cf85d5dbf2c649b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SLL $[dB]$
$|SLL_{\\text{ref}}| \\ [dB]$$\\delta \\alpha_{n}=1 \\%$$ \\delta\\alpha_n=5\\% $$\\delta \\alpha_{n}=10 \\%$
10$ [-10.29;-9.68] $$ [-11.49;-8.43] $$ [-13.10;-6.96] $
15$[-15.42 ;-14.50]$$[-17.20 ;-12.66]$$[-19.80 ;-10.61]$
20$ [-20.63;-19.18] $$[-23.53 ;-16.37]$$[-28.70 ;-13.58]$
25$ [-26.01;-23.63] $$ [-31.36;-19.45] $$[-58.90 ;-15.78]$
30$ [-31.69;-27.74] $$ [-45.53;-21.76] $$ \\left[-\\infty ;-14.85\\right] $
35$ [-37.96;-31.36] $$ [-\\infty ;-23.06] $$ [-\\infty ;-15.45] $
40$ [-45.70;-34.35] $$ [-\\infty;-22.74] $$ \\left[-\\infty ;-16.38\\right] $
45$[-59.46 ;-36.60]$$[-\\infty ;-21.81]$$ \\left[-\\infty ;-16.11\\right] $
50$[-\\infty ;-37.88]$$ [-\\infty ;-21.00] $$ [-\\infty ;-15.41] $
55$ [-\\infty ;-36.85] $$ [-\\infty ;-21.88] $$ [-\\infty ;-14.96] $
60$ [-\\infty ;-36.10] $$ [-\\infty;-22.84] $$ [-\\infty ;-14.51] $
"} {"image_path": "images/606e0c19e287b7b112c9e72cf10f7579.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Duration oflabellingperiod (min)Percentage oflabel present inthe shoot 7 hoursafter end oflabelling periodS.E.M.Theoretical percentages undertwo assumptions:
$\\varphi_{\\mathrm{cv}}$ constantwith timethroughout$\\varphi_{\\mathrm{cv}}$ initiallyproportionalto time
(1)(2)(3)(4)(5)
1226.80.713.524.5
2428.80.718.525.3
3627.70.722.326.2
4829.00.725.527.0
6028.10.928.128.1
"} {"image_path": "images/c9815a1e2fed989930c237db8cebb03f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MethodExperimental systemRate constantliter/mol-s
LSV-RDE (Au)(this work)$7.5× 10^{-4}M~Fe^{+++}$0.5M KCl$1-5× 10^{-2}M~H_2O_2$83.2$83.6^a$
Flow with achannel electrode(Au) (18)$ 7 \\times 10^{-4} \\mathrm{M}~\\mathrm{Fe}^{+++}$$0.5\\mathrm{M}\\ \\mathrm{H}_2\\mathrm{SO}_4$$0.02$-$0.1\\mathrm{M}\\ \\mathrm{H}_2\\mathrm{O}_2$80
Flow with atubular electrode(Au) (21)$10^{-3}-10^{4} M~Fe^{+++}$in $\\mathrm{Cl}^-/\\mathrm{O}_4~^{-2}$ solution$0.1\\mathrm{N}\\ \\mathrm{H}_2\\mathrm{O}_2$86
RDE (Pd) (22)$ 10^{-3} -10^{-4}M~Fe^{+++}$in $\\mathrm{Cl}^-/\\mathrm{O}_4~^{-2}$ solution$0.1\\mathrm{N}\\ \\mathrm{H}_2\\mathrm{O}_2$$76.4^{\\mathrm{a}}$$91.7^{\\mathrm{b}}$
Rotating ring-diskelectrode (23)carbon paste6.4 $\\times 10^{-3} \\mathrm{M} ~\\mathrm{Fe}^{+++}$2M HCI6.4 $\\times 10^{-3} \\mathrm{M}~\\mathrm{H}_{2} \\mathrm{O}_{2} $105
RDE (Au) (20)$ \\begin{array}{l}10^{-3} M~\\mathrm{Fe}^{+++} \\\\ 1 M~\\mathrm{KCl} \\\\ 1.6-3.4 \\times 10^{-2} M~\\mathrm{H}_{2} \\mathrm{O}_{2}\\end{array} $$145^a$
Polarography (Hg) (24)$ \\begin{array}{l}2.5\\times 10^{-4}M\\ Fe^{+++}\\\\ 0.25M~H_2 SO_4\\\\ 0.0355M~H_2 O_2\\end{array} $78
Polarography (Hg) (25)$ \\begin{aligned} & 4 \\times 10^{-4} M~\\mathrm{Fe}^{+++} \\\\ & 0.5 M~\\mathrm{KCl} \\\\ & 1.27 \\times 10^{-2} M~\\mathrm{H}_{2} \\mathrm{O}_{2} \\end{aligned} $155
"} {"image_path": "images/78f349737f7854c23e904ab5bca35d62.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(h k l)Interplanarspacing$d$ ÅDiffractionangle*$2 \\theta\\ \\ ({ }^{\\circ})$Intensity
Ni(111)2.0344.58 (Cu)1.00
(200)1.7651.9(Cu)0.50
(220)1.24476.50 (Cu)0.32
(311)1.06188.05(Cu)0.32
α-Fe(110)2.026857.10 (Fe)1.00
(200)1.433285.0 (Fe)0.19
(211)1.1702111.7 (Fe)0.30
Zn(101)2.09443.3(Cu)1.00
55.2 (Fe)
(002)2.47336.3(Cu)0.53
46.1 (Fe)
(100)2.30839.1 (Cu)0.40
49.7 (Fe)
"} {"image_path": "images/bad5db0afede5ce03c49021c12e70ec7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T = 12H1H2MHGAHGALSDepth-12345
C$\\alpha$
9$\\alpha ^{1} $1000021.9 (11.3)1.9 (4.5)0.4 (2.5)0.1 (1.6)0 (1.0)
$\\alpha ^{2} $1101024.7 (18.3)4.7 (6.9)0.1 (3.9)0.1 (2.4)0.1 (1.5)
$\\alpha ^{3} $0201026.6 (22.6)5.8 (8.2)0.6 (4.6)0.6 (2.9)0.2 (1.8)
25$\\alpha ^{1} $0101094.6 (16.9)1.8 (7.2)0 (3.9)0 (2.2)0 (1.3)
$\\alpha ^{2} $0300099.2 (31.2)3.1 (12.0)0 (6.3)0 (3.5)0.2 (2.0)
$\\alpha ^{3} $14001812.2 (44.3)4.2 (15.3)1.1 (7.8)0.1 (4.3)0 (1.4)
49$\\alpha ^{1} $00010551.3 (14.7)0.2 (5.5)0 (2.6)0 (1.4)0 (0.7)
$\\alpha ^{2} $02020534.7 (27.7)0.3 (9.2)0 (4.3)0 (2.2)0 (1.2)
$\\alpha ^{3} $07020517.6 (40.4)0.5 (11.8)0 (5.3)0 (2.7)0 (1.4)
"} {"image_path": "images/87d4d40366dcebac429aaaef673f5bfb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CH瑞士2532
CN中國內地21 1861,291159 0028,527
DE德國84
ES西班牙232301 196133
F8法國1 156344
GB英國2751 289227
IN印度730651 464136
IT意大利2 3547026 6971,803
JP日本561173
KR韓國6441431 257301
NZ新西蘭709
PK巴基斯坦2 7683377 706737
PT葡萄牙145751171
RO羅馬尼亞71
SG新加坡883102
TW台灣69851
US美國14932847215
VN越南154346
"} {"image_path": "images/b571ddd75cd8ef3e1bd4bb7197808444.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ManufacturerBest-selling shades indecreasing order Shades with most pink indecreasing order
1. a.878690979690
b.902901903902901903
2.Y2Y3R2R5R4R3
3. a.104102106109110104
b.B65B62B66656660
c.626567656660
4.656266657060
5.HGIM62GM65
6.62666562
"} {"image_path": "images/78058d008b1a2fcf3f6beff6e0877b31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AgeGroupsNumber ofcountriesAverageStandardDeviationF-testProbability
75 and overs112.78.1131.839.201
22.94.014
31.82.
Total15.81.115
15-19- year-olds112.20.0618.228.006
22.37.014
31.14.
Total15.22.083
40-44-year-olds112.37.0677.465.008
22.51.120
31.16.
Total15.38.102
"} {"image_path": "images/e6a39ac4cd166b00dd7573e4be4fe7bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample implanted at fluence of $2\\times 10^{16} ~\\mathrm{He} ~\\mathrm{cm}^{-2}$
Samplesfraction of Hedesorbed (%)$S_d$$\\begin{array}{c}N_v\\\\(\\times10^{14})\\text{ cm}^{-2}\\end{array}$$\\bar{d} $(nm)
As-implanted$1.0376_{+0.009}^{-0.007}$2.7844.4
Annealing timeat $250{ }^{\\circ} \\mathrm{C}$
320 s0.21.03740.8457.6
680 s1.21.03730.6453.2
43 min4.71.0370.9264.3
403 min10$1.037_{+0.007}^{-0.006}$1.9271
"} {"image_path": "images/bd169ca900c4c104e5c3604a0c90c168.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
P1/P2No.TV$y_{i.}$
48,00096,000144,000192,000240,000288,000
41731.68752.53933.06641.47632.11618.574309.44
2-0.0014-0.0014-0.0011-0.0016-0.0016-0.0017-0.0091
362.1938.9248.4319.2349.9423.68242.39
61987.91844.16738.50364.06651.11724.984310.74
2-0.0010-0.0012-0.0014-0.0029-0.0016-0.0014-0.0098
350.6633.1858.6556.3945.3958.03302.3
811019.14896.85908.610614.32586.02597.774622.73
2-0.0010-0.0011-0.0011-0.0017-0.0018-0.0017-0.0088
348.7364.1144.1252.5855.526.48291.52
101745.25738.50656.19597.77450.76463.333651.82
2-0.0014-0.0014-0.0016-0.0017-0.0023-0.0023-0.0110
362.1461.157.1256.3938.0323.46298.24
121465.51712.32627.53586.02493.51520.273405.19
2-0.0023-0.0015-0.0017-0.0018-0.0021-0.0020-0.0115
354.3636.8350.4132.7632.3527.83234.54
141437.11554.06493.51601.79444.83474.433005.76
2-0.0024-0.0019-0.0021-0.0017-0.0024-0.0022-0.0130
355.1437.6739.6132.9732.6716.87214.93
$y_{j1}$4386.624498.444357.433405,463258.363399.39$23305.72=y_{..1}$
$y_{j2}$-0.00980.00870.0093-0.0117-0.0121-0.0116$-0.0634\\:=\\:y_{...2}$
$y_{j3}$333.22271.81298.34250.32253.88176.35$1583.92=y_{..3}$
"} {"image_path": "images/069056f5f182bb2430b72356b394f0ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Layer(hPa)Mean altitudeof layer(m)$\\text{Types of radiosonde}^{a}$
12345678
(systematic thickness errors, m)
850-1008000-1-3173428-2-1829
700-1009300-1-5183839-6-2235
700-5012200-7-10274637-11-2755
"} {"image_path": "images/92b96d49f5b40c39217723d126237f60.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\alpha_{0}$$\\alpha_{1}$$\\lambda_{0}=0.2, \\lambda_{1}=0.6$$\\lambda_{0}=0.3, \\lambda_{1}=0.7$$\\lambda_{0}=0.4, \\lambda_{1}=0.8$
$n_{1}$$r_{1}$$n_{1}^{a}$$r_{1}^{a}$$n_{1}$$r_{1}$$n_{1}^{a}$$r_{1}^{a}$$n_{1}$$r_{1}$$n_{1}^{a}$$r_{1}^{a}$
0.010.0537153715492547 246037 375735
0.1030133013392139 2148314730
0.1526122612321832 1842284127
0.050.05271027103316331641 4124 4023
0.102292082814261331193119
0.151981772312231227172717
0.090.052282282813281335203419
0.10187187241221 1027162615
0.15156156191018921132113
"} {"image_path": "images/6e9a5d72e26eaf3de5c79c8d72ed9966.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A$\\sigma$$\\varepsilon $Result$U_{max}$$\\tau _f$$c^{'}_p$
1.70.40.11(-3)Decay
0.10(-3)Blow-up20710.07761.804(-3)
1.80.30.44(-3)Decay
0.43(-3)Blow-up4510.11881.797(-3)
1.80.40.25(-3)Decay
0.24(-3)Blow-up24300.08441.798(-3)
1.80.50.16(-3)Decay
0.15(-3)Blow-up19510.06071.791(-3)
1.90.40.56(-3)Decay
0.55(-3)Blow-up1070.10301.802(-3)
"} {"image_path": "images/51c47ee3c27f914c6f3bc55f4f97e766.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$n_{c}$48163264128
Number of nodes6222384733021303851810
Internal nodes3717374731011263651006
$h*10^{3}$250.0125.062.531.2515.6257.8125
Diffusive neighborhoods
Neighborhoods (5 edges)3417073230621255250809
Neighborhoods (<5 edges)1136615
Neighborhoods (>5 edges)22123378182
$Quadratic~error~E_{mean}$
$E_\\text{mean}*10^7~Q=1$105.056.929.915.37.793.92
$E_{\\mathrm{mean}}*10^5\\:Q=Q\\delta_0$492.0197.083.938.218.18.86
"} {"image_path": "images/9fa5598bcbb456811d3bc267293ff801.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
평가항목절대중요매우중요중요약간중요 대동약간중요중요매우중요 절대중요평가항목
98765432123456789
LNG 추진선 신조LNG 냉커링 선확보
LNG 추진선 신조LNG 냉커링 기지확보
LNG 냉커링 선확보LNG 냉커링 기지확보
"} {"image_path": "images/8506794ad3d7ddcdc60e9febdb6e0061.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Mechanismfrom wild-type to intermediadeinferred to involveInferred mechanism from intermediate to indel
Type1345Totals
Direct repeats1$10/8/5~ (23)^{a}$3/3/1 (7)7/1/1 (9)3/1/2 (6)23/13/9 (45)
Inverted repeats32/0/3 (5)14/9/7 (30)5/3/4 (12)4/1/2 (7)25/13/16 (54)
Symmetric elements43/1/2 (6)7/2/4 (13)12/11/6 (29)3/2/3 (8)25/16/15 (56)
Inversions ofinverted repeats54/0/1 (5)4/4/2 (10)6/2/2 (10)7/2/0 (9)21/8/5 (34)
Totals19/9/11 (39)28/18/15 (61)29/17/13 (59)17/6/7 (30)$94/50/45 (189)^b}$
"} {"image_path": "images/d6ea71580078f81d7207e698372d096e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Year
012345
01,559,1454,803,9319,247,3597,555,1401,055,026
06,656,9918,681,47616,515,33414,138,2235,154,775
02,097,8463,877,5467,267,9756,583,0821,099,749
1.11.21.31.41.51.6
-3,769,127-1,981,192-193,2561,594,6803,382,6165,170,551
Sensitivity analysis
2%3%4%5%6%7%8%9%
9.523.171.310.770.370.750.870.99
"} {"image_path": "images/01b9369041e92fb169db632fb5ee945c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PPO concentration (wt%)
2026
Samplenumber$f_{PPO}$$f_{PS}$$f_{PPO}$$f_{PS}$
10.1260.0930.1160.090
20.1140.0870.1140.089
30.1230.0960.1080.083
40.1270.096 0.1110.085
50.1250.0970.1120.087
Average0.1240.0940.1120.087
Standarddeviation0.0050.0040.0030.002
"} {"image_path": "images/762b985b96e457bae7094834f4999433.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
確定福利義務現值計畫資產公允價值淨確定福利負債(資產)
109.01.01$88,079$(56,998)$31,081
當期服務成本478-478
利息費用(收入)617(403)214
小 計89,174(57,401)31,773
確定福利負債/資產再衡量數 :
財務假設變動產生之精算損益2,689-2,689
經驗變動產生之精算損益(830)-(830)
確定福利資產再衡量數-(960)(960)
小 計91,033(58,361)32,672
支付之福利(19,873)19,873-
雇主提撥數-(1,083)(1,083)
109.12.3171,160(39,571)31,589
當期服務成本493-493
利息費用(收入)213(120)93
小 計71,866(39,691)32,175
確定福利負債/資產再衡量數 :
財務假設變動產生之精算損益(1,418)-(1,418)
經驗變動產生之精算損益6,521-6,521
確定福利資產再衡量數-(524)(524)
小 計76,969(40,215)36,754
支付之福利---
雇主提撥數-(1,117)(1,117)
110.12.31$76,969$(41,332)$35,637
"} {"image_path": "images/e335a2e3d7df416cc35bc61a1781ee51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份雨 量 毫 米植 物绿色植物量吨 · 公顷$^{-1}$
1961/6238.0白叶蒿植物群落白叶蒿 (Artemisra herba-alba)Noaca mucronata灌丛裸果花 (Gymnocarpos fruticosum)疾风半日花 (Helianthenum ventosum)小果阿福花 (Asphodelus microcarpus)一年生植物0.14330.14790.07730.01490.03540.0000
总 量0.4188
1962/63164.5白叶蒿Noaca mucronata灌丛裸果花疾风半日花小果阿福花一年生植物0.16950.38100.37000.01220.11781.2370
总 量2.2875
1961/6251.9丛生霸王植物群落丛生霸王(Zygophyllum dumosum)灌丛裸果花开罗半日花(Helianthenu.ns kahiricum)一年生植物0.34980.01570.01100
总 量0.3765
1962/6392.9丛生霸王灌丛裸果花开罗半日花一年生植物0.58420.03300.00501.4910
总 量2.1132
"} {"image_path": "images/4ecea22da12d0e0dba14137b4a73a322.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Starting sulfide(2a-c)Products (3a-c) andtheir yields(%)
$R_1$$R_2$$R_3$$R_4$
2aHHHH3a90
2bMeHHMe3b81
2cMeMeHH3c82
"} {"image_path": "images/832a25856a2c63a3373af40f7c776c3a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1984$( n=12,069)$ 1989( $n=10,605)$ 1994(n=8,889)
Mean %St.Dev.Mean %St.Dev.Mean %St.Dev.
Household characteristics
Marital status
Never married60.932.721.3
Married33.054.461.6
Separated2.53.74.3
Divorced3.69.012.4
Widowed0.10.20.4
Number of children in household
None73.551.537.5
One15.219.619.2
Two8.719.327.1
Three or more2.69.616.2
Family poverty status
In poverty13.78.98.1
Not in poverty78.773.771.4
Missing7.617.420.5
Family income
Median $20,030.00(n=9,829)$30,616.00(n=8,757)$38,000.00(n=7,004)
Environmental factors
Geographical region
South33.734.435.3
West18.218.118.1
North Central27.828.128.5
Northeast20.319.518.1
Urban/rural residence
Urban71.276.776.1
Rural18.420.221.7
Missing10.53.12.2
Unemployment rate
<3%0.13.10.3
3-5·9%19.665.435.2
6-8.9%36.320.945.2
$9-11.9\\%$ 15.76.912.4
$12-14.9\\%$ 12.30.64.0
15%+5.40.10.9
Missing10.53.12.1
"} {"image_path": "images/a9069ed647d8ebbf62f392cfb874dd5c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
synthesisextractables, %sPMMA-PIB-sPMMA
sum of$n$-hexane+ acetoneinsolublefractions, g $\\bar{M}_{\\text{n}}\\ (\\times10^{-3})^{\\text{e}}$$\\text{sPMMA-PIB-}$${sPMMA}$$A_{\\text{w}}/A_{\\text{n}}$PMMA,%
sample$\\text{CH}_3\\text{Ph-PIB-}$${PhCH}_3,$$\\text{mL (g)}$MMA,gyield,gconv,%
$n\\text{-hexane: }\\bar{M}_{\\text{c}}/\\bar{M}_{\\text{w}}/10^{-3}\\bar{M}_{\\text{n}}$ $\\text{acetone:}$$\\bar{M}_{\\text{n}}^{\\text{d}}/\\bar{M}_{\\text{w}}/10^{-3}\\bar{M}_{\\text{n}}$
B130 (4.50)2.306.679815/54/1.2610/7.4/1.144.677.0-54.7-7.01.2720
B232 (4.80)3.518.219913/52/1.2712/10.6/1.165.4210.3-54.7-10.31.3027
B332 (4.80)5.279.008910/53/1.2625/14/1.146.1114.3-54.7-14.31.3034
B435 (5.25)4.079.361009/52/1.258.10/1.116.009.9-54.7-9.91.2827
B535 (5.25)1.927.029835/55/1.197/7.5/1.253.907.3-54.7-7.31.2321
B620 (3.00)1.744.7310047/46/1.267/21/1.491.7616.5-53.2-16.51.2838
"} {"image_path": "images/98b8c2e849c2ab02e5a82c0a2737a930.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reference$\\frac{1}{2}A^{-1}\\Sigma_{\\lambda}\\varepsilon_{\\lambda}$$\\langle r^{2}\\rangle^{1/2}$$\\langle T\\rangle$E/A$(E/A)_{C}~F_{C}$
HFExperiment5·51-7·87
Tarbutton and Davies (1968)-15·815·2620·63-5·49-5·591·01
Petry et al(1970)-19$\\cdot$635·3220·01-9·63-9·651·00
BHFDavies et al (1969)-15$\\cdot$814·602599-2·82-2·460·97
RBHFDavies et al (1972)-15$\\cdot$91$\\dagger $4·73-3·46-3·28
DDHF Campi and Sprung (1972)$-12 \\cdot 11$5·45-7·85-2·60
"} {"image_path": "images/b099ef96fb1b0b321b719d59562accb9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2002-2003 Benefit Increase
Broad SampleNarrow Sample
Control$127-734Treatment$75-126 &$735-1275 Control$500-734Treatment$735-1100
Sample Size Base Year61,21024,78622,56620,175
Sample Size End Year59,18324,84722,84019,419
Mean Benefit Rate Base Year295.9479.1405.8490.0
(0.4)(0.4)(0.3)(0.0)
Mean Benefit Rate End Year299.6560.3405.9569.9
(0.4)(0.6)(0.3)(0.4)
Percent Change1.216.90.016.3
(0.2)(0.2)(0.1)(0.1)
Mean Weeks TD Base Year37.233.637.634.0
(0.2)(0.3)(0.3)(0.2)
Mean Weeks TD End Year32.931.232.431.7
(0.2)(0.3)(0.3)(0.2)
Percent Change-11.6-7.0-13.6-6.6
(0.6)(1.1)(1.0)(1.3)
Mean Earnings Base Year41,31998,65758,31994,887
(144)(391)(266)(403)
Mean Earnings End Year44,025101,45861,817 96,492
(154)(399)(274)(414)
Percent Change6.52.86.01.7
(0.5)(0.6)(0.7)(0.6)
Mean Weeks LFP Base Year77.694.885.894.6
(0.2)(0.3)(0.3)(0.3)
Mean Weeks LFP End Year79.895.988.495.6
(0.2)(0.3)(0.3)(0.3)
Percent Change2.81.23.01.1
(0.4)(0.4)(0.5)(0.5)
"} {"image_path": "images/2cc8910202481a4a8250c69adda90404.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项次项 目允许偏差 (mm)检验方法
毛石砌体料石砌体
基础毛料石粗料石半细料石细料石
基础基础墙、柱墙、柱
1轴线位移2015201515101010 用经纬仪、水平仪复查或检查施工测量记录
2基础和楼面标高± 25± 15± 25± 15± 15± 15± 10± 10
3砌体厚度+ 30+ 20- 10+ 30+ 20- 10+ 15+ 10- 5+ 10- 5+ 10- 5用尺检查
4墙面垂直度每层-20-20-1075 用经纬仪或吊线和尺检查
全高-30-30-252015
5表面平整度清水墙、柱-20-20-1075 细料石: 用 2 m 直尺和楔形塞尺检查其他: 用两直尺垂直于灰缝拉 2 m 线和尺检查
混水墙、柱-20-20-15--
6清水墙水平灰缝平直度-----1075拉 10 m 线和尺检查
"} {"image_path": "images/704a881bdb96a57d78c69eb0fdd902b0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
配方编号基本用量/g材料名称AU-2试验项目试验结果
S-聚氨酯胶(透明)100硫化条件(148℃)/min12
硬脂酸锌1邵尔 A 型硬度/度85
活性剂 NH-21拉伸强度/MPa14.6
促进剂 DM4拉断伸长率/%405
促进剂 M2定伸应力/MPa100%8.5
喷雾炭黑65300%13.6
硫黄2拉断永久变形/%28
合计175圆盘振荡硫化仪(148℃)$ M_{1.}/N\\cdot m $2.3
$M_{H}/N\\cdot m$ 114.0
$t_{10}$5 分 48 秒
$t_{90}$9 分 12 秒
DM混炼加料顺序:胶+硬脂酸锌+ NH-2 +炭黑+硫黄——薄通 6 次下片备用M混炼辊温:50℃ ± 5℃
"} {"image_path": "images/5fd8f02c01d8fae040c7003d92f4662e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\Lambda(q)=$
y=123456789
1$-\\left(B+B^{-1}\\right)$B0$B^{-1}~e^{iq}$00000
2$B^{-1}$$-2\\left(B+B^{-1}\\right)$BB$B^{-1}~e^{iq}$0000
30$B^{-1}$- -2B00$B^{-1}~e^{iq}$000
4$Be^{-iq}$$B^{-1}$0$-2\\left(B+B^{-1}\\right)$B0$B^{-t}~e^{iq}$00
50$Be^{-iq}$0$B^{-1}$$-2\\left(B+B^{-1}\\right)$B0$B^{-1}~e^{iq}$0
600$Be^{-iq}$0$B^{-1}$$-2\\left(B+B^{-1}\\right)$0B$B^{-1}~e^{iq}$
7000$Be^{-iq}$00$-2 B^{-1}$B0
80000$Be^{-iq}$$B^{-1}$$B^{-1}$$-2\\left(B+B^{-1}\\right)$B
9000 00 0$Be^{-iq}$ 0$B^{-1}$$-\\left(B+B^{-1}\\right)$
(2.1)
"} {"image_path": "images/be77f5299aee511d87fa10aac573fd33.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
All patientsGroup AGroup B
Age, gender, body weight
Number703634
Gender, % male34.344.423.5
Age, years$62.3 \\pm 12.4$$62.1 \\pm 14.6$$62.6 \\pm 9.6$
Body weight, kg$64.4 \\pm 11.4$$67.0 \\pm 10.0$$61.7 \\pm 12.2$
Underlying renal diseases, prevalence in %
Diabetic nephropathy21.422.220.6
Glomerulonephritis14.313.914.7
Pyelonephritis14.313.914.7
Vascular nephropathy14.311.117.6
Polycystic kidney disease12.911.114.7
Analgetic nephropathy5.75.65.9
Other, unknown18.625.011.8
Comorbid diseases, prevalence in %
Hypertension85.791.779.4
Diabetes mellitus24.325.023.5
Residual renal function
Anuric patients, %*37.141.732.4
Residual diuresis, ml/day**$740 \\pm 385$$714 \\pm 269$$ 763\\pm 472 $
Patients with a diuresis ≤ 100 ml/day are defined as anuric ($^*$), residual diuresis is cal-culated only for non-anuric patients ($^{**}$).
"} {"image_path": "images/dfd60bf59a9474777b0c851161d69eed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Liquid$\\beta /\\gamma $b.p.$a\\times 10^{3}$$b\\times 10^{11}$$(c_{p})_{l} calc.$
exp.theor.exp.theor.exp.theor.exp.
Mercury573570.2230.183$(300^{°})$0.4120.454$(192^{°})$0.02610.0332$(260^{°})$
Bromine28.358.81.181.228.06.25(20°)0.0960.107
Carbon
disulfide26.746.31.291.3111.08.70.2130.246
Acetone22.356.51.411.5413.711.40.5190.550
Carbon tetra-chloride21.876.81.431.4220.015.8$(70^{°})$0.1800.229$(60^{°})$
Chloroform20.261.21.361.3715.014.10.2120.253
Ethyl ether19.734.61.581.7223.020.70.5590.560
Benzene19.480.11.481.5419.016.00.3950.444
Ethyl alcohol14.078.41.451.369.011.00.750.75
Water10.91001.430.752.84.141.291.01
"} {"image_path": "images/f2aeba46bd482127f5edf7a94e65376c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
水の体積(ml)ガスの体積(ml) ガス山のH$_2$Sの本税(mI)ガスロのRの体種(ml)水に溶解したH$_2$Sの体積(ml)水に溶解した$~\\mathrm{CO}_{2}$ の体積(ml)採取量(ml)分 析 值 (%)
H$_2$O水以外のガス
H$_2$SCO$_2$R
125606.71.28.6 (8.3)23.492.099.716.682.1 1.3
219465.01.06.5 (6.5)17.870.399.716.482.21.4
322586.91.16.8 (6.6)16.781.599.716.881.81.4
"} {"image_path": "images/276bf19d54d14d2cf822d31b27bf8f0d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$2 \\alpha\\ [\\mathrm{rad}]$$\\gamma\\ [\\mathrm{rad}]$$\\lambda _{1}$$\\lambda _{2}$$\\lambda _{3}$Plane strainAxis-sym.
$\\mathrm{e}_1$$\\mathrm{e}_2$$\\mathrm{e}_3$
0$ \\pi $0.50000.50000.50000.134490.341390.41380
$\\pi / 12$$23 \\pi / 24$0.50020.54530.52170.139960.305880.39659
$\\pi / 6$$11 \\pi / 12$0.50140.59820.54550.144850.272970.37929
$\\pi / 3$$5 \\pi / 6$0.51220.73090.60000.150380.215300.34484
$\\pi / 2$$3 \\pi / 4$0.54450.90850.66670.146230.167930.31034
$2 \\pi / 3$$2 \\pi / 3$0.61571.14890.75000.129640.129220.27587
3π/4$5 \\pi / 8$0.67361.30210.80000.117210.112500.25863
"} {"image_path": "images/3bdceb33a728f6535062ecba831a4d54.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MO Overlap populationsGross atomic populations
n (i; HC)n (i; HN)n (i; CN)n (i)N (i; H)N (i; C)N (i; N)N (i)
1$\\sigma$0.0000.000-0.005-0.0050.000-0.0022.0022.000
2$\\sigma$-0.0020.000-0.001-0.003-0.0012.002-0.0012.000
3$\\sigma$0.0210.0220.7780.8220.0290.7021.2692.000
4$\\sigma$0.753-0.0340.0130.7320.6661.1900.1432.000
5$\\sigma$0.0290.002-0.265-0.2360.0670.2041.7292.000
1$\\pi $0.9530.9532.0601.9394.000
TotalsHCHNCNAll bondsHCN
$\\sigma$0.801-0.0110.5201.3100.7614.0965.14310.000
$\\pi $0.9530.9532.0601.9394.000
$\\sigma$ and $\\pi $0.801-0.0111.4722.2630.7616.1567.08214.000
"} {"image_path": "images/107ad691e29d571b6bdbe1e2c37b22b8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SolventlogP$E_r$ (30)nDC
kJ/mol
Formamide-1.652370.4440.0
Ethylene glycol-1.432360.26418.7
Glycerol-2.502380.19420.2
Methanol-0.742320.41430.5
N-Methylformamide-1.132260.31432.4
1,2-Propanediol-1.352260.21338.8
1,3-Butanediol-1.022210.17849.1
Ethanol-0.322130.30154.4
Dimethyl sulfoxide-1.351880.19960.3
N,N-Dimethylformamide-1.011830.24463.3
Acetonitrile-0.341920.34464.3
1-Propanol0.342120.23169.2
Sulfolane-0.771840.19969.3
2-Propanol0.142030.23770.2
1-Butanol0.892100.19477.2
Acetone-0.241770.25478.2
2-Methyl-1-propanol0.832050.19479.2
2-Butanol0.611970.19480.4
Hexamethylphosphoramide0.281710.09990.1
1,4-Dioxane-0.271510.24092.1
2-Methyl-2-propanol0.371840.19092.2
Tetrahydrofuran0.461560.241100.0
"} {"image_path": "images/fd1438b036d4b399fc1fe02dc8340e79.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PolymerTemp.(℃)ChlorobenzeneBromobenzeneFluorobenzeneNitrobenzeneAniline
n k(×10$^2$)n k(×10$^2$)n k(×10$^2$)n k(×10$^2$)n k(×10$^2$)
EPDM250.633.430.613.160.603.810.502.560.502.55
440.61 4.560.594.190.614.750.503.200.542.72
600.60 5.620.595.000.625.730.504.800.503.55
NBR250.662.300.621.970.642.570.631.280.621.01
440.623.180.632.680.653.510.641.740.651.59
600.613.910.613.600.644.390.642.650.651.99
CR250.632.710.622.340.632.730.571.570.531.34
440.633.500.623.100.623.500.602.010.541.80
600.634.240.603.790.634.270.572.700.572.16
NR250.663.690.663.030.683.670.552.250.512.68
440.644.750.643.870.664.840.552.940.514.06
600.635.740.644.410.675.410.543.610.505.64
SBR250.683.120.672.500.673.030.571.800.502.37
440.654.090.653.350.674.010.572.530.503.72
600.644.860.644.010.654.860.563.290.514.21
"} {"image_path": "images/8b516cec5f2bb5f5741de4da25ddc36d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Factor when trueFactor when false
pH between 5 and 9.5?10.001
Todal dissolved solids (TDS) < 60 g/l10.2
If TDS>60g/l, do SRB grow?0.20.0001
Temperature (T) between 10 and 45 °C?10.2
If T>45°C, do SRB grow?10.2
Sulfate > 10 mg/l ?10.2
Total carbon (C) from fatty acids >20 mg/l?10.2
Nitrogen (as utilizable N) > 5 mg/l?10.2
C:N ratio <10?10.4
Flow velocity < 1m/s~1
Flow velocity = 2m/s~0.6
Flow velocity = 2.5m/s~0.1
Flow velocity = 3m/s~0.01
Debris on bottom of pipeline21
Pigging frequency never~1
Pigging frequency 13 wks~0.3
Pigging frequency 4 wks~0.001
Pigging frequency 1 wk~0.0001
Prolonged oxygen ingress > 50 ppb51
Biocide routinely used?0.21
Operational history:
- Age pipeline < 0.5 yr1
- Age pipeline > 0.5 yr & downtime = 1 wk~1
- Age pipeline > 0.5 yr & downtime = 50wks2
"} {"image_path": "images/df9e6af614a47aa70e36a5642ab5150c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
v'$\\tau_{calc}$$\\tau_{expt}$
($10^{-6}$ s)($10^{-6}$ s)
08.6$3.2 ±0.3,^a$ 3.7, $3.4,^b$
$2.86,^c 2.88 ± 0.06^a$
51.8
100.89
150.49
200.29
240.30.173 ± 0.017
250.30.162 ± 0.014
260.30.167 ± 0.010
270.30.162 ± 0.010
280.30.157 ± 0.010
290.30.156 ± 0.009
300.30.166 ± 0.011
"} {"image_path": "images/34cc0034696842b6f35c2f7be5bb5d31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ReactionT, KFree energyLog $K^{\\mathrm{a}}$
Calc.Exp.Calc.Exp.
$\\mathrm{S}_4 \\mathrm{H}_2 \\Rightarrow \\mathrm{~S}_4 \\mathrm{H}^{-1}+\\mathrm{H}^{+}$298+8.8 +5.2-6.4-3.8
$\\mathrm{S}_4 \\mathrm{H}^{-} \\Rightarrow \\mathrm{S}_4~^{-2}+\\mathrm{H}^{+}$298+15.6+8.6-11.4-6.3
Calc.Corr.Corr.
$\\mathrm{S}_6~^{-2} \\Rightarrow 2 \\mathrm{~S}_3~^{-}$298+0.3+3.7-2.7
523-8.0-4.6+1.9
723-15.7-12.3+3.7
923-21.6-18.2+4.3
$\\mathrm{S}_6~^{-2} \\Rightarrow \\mathrm{~S}_4~^{-}+\\mathrm{S}_2~^{-}$298+17.2+20.6-15.0
523+9.5+12.9-5.4
723+2.9+6.3-1.9
923-3.5-0.10.0
$2 \\mathrm{H}_2 \\mathrm{~S}+\\mathrm{SO}_4~^{-2}+\\mathrm{H}^{+} \\Rightarrow \\mathrm{S}_3~^{-}+.75 \\mathrm{O}_2+2.5 \\mathrm{H}_2 \\mathrm{O}$298+40.7+44.1-32.3
573+24.5+27.9-10.6
723+15.6+19.0-5.7
$\\mathrm{S}_2 \\mathrm{O}_3~^{-2}+\\mathrm{H}_2 \\mathrm{O} \\Rightarrow \\mathrm{SO}_4~^{-2}+\\mathrm{H}_2 \\mathrm{~S}$298-7.3+5.4
723 -6.0+1.8
923-3.6+0.9
"} {"image_path": "images/2c65aced922a33aba75e268907b2eeb6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Oithona spp.Oncaea spp.Euphausiid faecesCopepod faecesOstracod faecesLarvacean faeces
Oithona spp.Xr = 0.991**r = - 0.645*r = - 0.66r = 0.47 r = 0.3
Xn = 11n = 11n = 6n = 11n = 6
Oncaea spp.Xr = - 0.70*r = - 0.71r = 0.45r = 0.38
Xn = 11n = 6n = 11n = 6
Euphausiid faecesX r = 0.49r = - 0.25r = - 0.73
Xn = 6n = 11 n = 6
Copepod faecesXr = 0.43r = - 0.20
Xn = 6n = 6
Ostracod faecesXr = - 0.29
Xn=6
"} {"image_path": "images/00e53ae70f4f42e7deaf8fc5710112e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Run$\\text{Zeolite}\\ ^\\cdot$$\\begin{array}{c}\\mathrm{ACN~Conv.}\\\\\\mathrm{(wt\\%)}\\end{array}$$\\begin{array}{c}\\mathrm{Product}\\\\\\mathrm{AA}\\end{array}$$\\begin{array}{c}\\text{Composition}\\\\\\text{ECN}\\end{array}$$\\begin{array}{c}\\mathrm{Wt\\%}\\\\\\mathrm{DCDE}\\end{array}$
1NaY$CuNaY^b$12.220.845.633.6
238.290.86.42.8
334.387.48.64.0
432.580.214.65.2
531.280.613.26.2
627.478.916.24.9
"} {"image_path": "images/b48f29a5585636eb549dd6fadf0673c0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Here are the top women finishers in the 2004 Boston Marathon.
1Catherine Ndereba31Kenya2:24:27
2Effenesh Alemu28Ethiopia2:24:43
3Olivera Jevtic26Serbia and Montenegro2:27:34
4Jelena Prokopcuka27Latvia2:30:16
5Nuta Olary33Romania2:30:44
6Lyubov Denisova32Russian Federation2:31:17
7Malgorzata Sobanska34Poland2:32:23
8Victoria Klimina28Russian Federation2:33:20
9Ramilia Buranguloya42Russian Federation2:34:08
10Ai Yamamoto25Japan2:34:32
11Rika Tabashi22Japan2:41:41
12Jessica Rodriguez Galvan27Mexico2:50:57
13Andrea Niggemeier34Germany2:50:59
14Greta Varchi31Italy2:54:15
15Yumiko Une32Japan2:54:59
16Julie S. Spencer27Barabao, Wl2:56:39
17Angela M. Batsford23Canada2:57:06
18Mary Ann Protz47St Petersburg, FL2:57:58
19Kim A, Donaldson42St. Petersburg, FL2:58:15
20Lee Di Pietro46Ruxton, MD2:58:59
21Tracy Fischer35Jamul CA2:59:36
22Stephanie Hodge38Canada3:00:00
23Simonetta Piergentili39Woburn, MA3:01:00
"} {"image_path": "images/b8e985b5dc0c2602e691e1c7a85cd3f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Compound$M^{+'}$(m/z)m/z=93m/z=92m/z=91m/z=90m/z=75m/z=74m/z=73m/z=41
(a)(b)(a)(b)(a)(b)(a)(b)(a)(b)(a)(b)(a)(b)(a)(b)(a)(b)
55756941001009103018943110685
(138)
6510<1<1878710010034142125129118
(132)
7911<1<15630491001008176931209328
(147)
857<1<16666100100<1<1113028139551
(146)
"} {"image_path": "images/f6b65816835b330649b564a737ad2da4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MotiveProtectionBlockadeReputationExchangeIncentive
CoefficientS.E.CoefficientS.E.CoefficientS.E.CoefficientS.E.CoefficientS.E.
Competition intensity$0.84^{\\ast \\ast \\ast }$0.29$0.74^{\\ast \\ast \\ast}$0.250.210.25-0.100.250.340.24
Cooperation intensity0.050.210.220.17-0.070.14$0.26^{\\ast}$0.13-0.070.13
R&D intensity0.000.38-0.360.440.410.35$1.96^{\\ast \\ast \\ast}$0.45$1.01^{\\ast \\ast \\ast}$0.34
Co-patenting intensity$0.85^{\\ast}$0.45$0.92^{\\ast \\ast}$0.400.670.41$0.75^{\\ast \\ast}$0.320.120.28
Patent search intensity-0.080.220.140.17$0.37^{\\ast \\ast}$0.15$0.76^{\\ast \\ast \\ast}$0.18$0.47^{\\ast \\ast \\ast}$0.14
Trademark dummy$0.52^{\\ast \\ast \\ast}$0.190.080.16$0.34^{\\ast \\ast}$0.140.110.130.160.13
Company size0.240.210.190.19-0.040.04$0.08^{\\ast \\ast}$0.040.14^{\\ast \\ast \\ast}$0.04
$(Company~size)^2$-0.020.02-0.020.01n.a.n.a.n.a.n.a.n.a.n.a.
Construction-0.450.38$-0.78^{\\ast \\ast \\ast}$0.29-0.030.25$0.62^{\\ast \\ast}$0.250.000.24
Consumer goods$-0.91^{\\ast}$0.52-0.450.46-0.320.370.150.380.140.36
Chemical engineering-0.430.40-0.360.30 $-0.38^{\\ast}$0.23$0.59^{\\ast \\ast}$0.23-0.010.23
Rubber and plastics-0.340.44-0.540.370.190.320.200.280.180.28
Biotechnology-0.290.48-0.410.380.250.40$1.21^{\\ast \\ast}$0.54-0.310.33
Metal production-0.580.40-0.090.350.060.270.170.23-0.290.25
Automotive engineering-0.540.37-0.210.300.370.27-0.080.24-0.100.23
Electrical engineering-0.150.33-0.260.250.110.20$0.31^{\\ast}$0.180.210.18
Constant0.340.750.030.690.310.37$-1.64^{\\ast \\ast \\ast}$0.39$-2.04^{\\ast \\ast \\ast}$0.35
$Pseudo~R^2$0.11430.09290.05620.16050.0620
Number of observations465465465465465
"} {"image_path": "images/438566d7857f1987f45fd6f74a9be286.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
parametersTyphoon MorakotTyphoon Fanapi
valuevalue
Mean depth of the main branch of the river, $h_w$ (m)3.62.9
Volume concentration of the debris flow being deposited, $C_*$0.670.67
Internal friction angle, ϕ (°)3737
Mean particle diameter, $d_{50}$ (mm)208
Unit discharge of the debris flow, $q~(m^2/s)$43.17.9
Deposition slope of the debrisflowfan,tany0.0480.074
Minimum deposition thickness of the debris flow, $Z_{min}$ (m)206.7
"} {"image_path": "images/d548d14317c0d8bfd1ce3295cc9d7bca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nucleation Mode PeakAccumulation Mode Peak
HDD(%)AreaFractionPeakDiameter(nm)StandardDeviation(nm)AreaFractionPeakDiameter(nm)StandardDeviation(nm)
15.20.8712.32.60.1398.56.1
30.80.9118.42.30.0995.94.3
64.50.9216.82.20.08873.1
78.60.9518.32.20.0599.84.3
"} {"image_path": "images/c0b8d13760d73c7d055b173a87394472.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SamplesParametersMagnetic field H(T)
0.549
$\\mathrm{H}_{3} \\mathrm{PO}_{4}$ doped PANI$a_0(\\mathrm{~nm})$94.352.538.9
$N\\left(E_{\\mathrm{F}}\\right)\\left(\\mathrm{J} \\mathrm{cm}^3\\right)^{-1}$$6.9 \\times 10^{31}$$4.0 \\times 10^{32}$$9.8 \\times 10^{32}$
$R_{\\text{hop}}(\\mu m)$ 0.480.270.20
Silicon-PANI PNCs
$20.0 \\mathrm{wt} \\%$ silicon$a_0(\\mathrm{~nm})$120.6 42.924.6
$N\\left(E_{\\mathrm{F}}\\right)\\left(\\mathrm{J} \\mathrm{cm}^3\\right)^{-1}$$1.4 \\times 10^{31}$$3.1 \\times 10^{32}$$1.7 \\times 10^{33}$
$R_{\\text{hop}}(\\mu m)$ 0.750.260.15
$40.0 \\mathrm{wt} \\%$ silicon$a_0(\\mathrm{~nm})$96.039.025.2
$N\\left(E_{\\mathrm{F}}\\right)\\left(\\mathrm{J} \\mathrm{cm}^3\\right)^{-1}$$ 2.6 \\times 10^{31} $$3.9 \\times 10^{32}$$1.5 \\times 10^{33}$
$R_{\\text{hop}}(\\mu m)$ 0.590.240.16
$60.0 \\mathrm{wt} \\%$ silicon$a_0(\\mathrm{~nm})$97.039.125.0
$N\\left(E_{\\mathrm{F}}\\right)\\left(\\mathrm{J} \\mathrm{cm}^{3}\\right)^{-1}$$2.5 \\times 10^{31}$$3.9 \\times 10^{32}$$1.5 \\times 10^{33}$
$R_{\\text{hop}}(\\mu m)$ 0.620.250.16
"} {"image_path": "images/94e0be4b5f91235b3379dfee92792565.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CarcassAir velocity groupings
$0.10-0.29ms^{-1}$$0.30-0.65\\mathrm{ms^{-1}}$$0.80-1.30ms^{-1}$> 1.30 m s
Split65.502.2068.201.9555.101.3061.751.13
66.751.9061.251.5069.202.0063.901.80
77.051.9077.352.1078.452.0073.151.60
79.301.8573.601.7073.451.3579.101.95
WholeQuartered43.802.2042.952.2544.551.5046.901.55
147.61.30130.11.95187.81.45
"} {"image_path": "images/11520e3166a8af3d7c467b5aed7e00ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CalculationExperiment $[15]^{\\mathrm{a}}$
$\\text{CsVCl}_3$$\\text{CsVBr}_3$$\\text{CsVI}_3 $$\\text{CsVCl}_3$$\\text{CsVBr}_3$$\\mathrm{CsVI}_3$
$^4\\text{A}_2(\\text{F})$000000
${ }^{4} \\mathrm{T}_{2}(\\mathrm{F})$931588907223950087007900
932988977576
934590218080
935490998520
${ }^{2} \\mathrm{E}(\\mathrm{G})$120481175410484120711176811114
${ }^{2} \\mathrm{T}_{2}(\\mathrm{G})$126951241111063127121239411705
127451242611113
${ }^{4} \\mathrm{T}_{1}(\\mathrm{~F})$145741408912134146251354612376
145811409212496
146881411512525
147351412212817
${ }^{2} \\mathrm{T}_{2}(\\mathrm{D})$169521654815069170351646915458
170461659315442
${ }^{2} \\mathrm{A}_{1}(\\mathrm{G})$195901898617152197301870117365
${ }^{2} \\mathrm{T}_{2}(\\mathrm{G})$220152135418355218132073119291
220512136918935
${ }^{2} \\mathrm{T}_{1}(\\mathrm{P})$220952144318961221432104819570
221612156719144
${ }^{4} \\mathrm{T}_{1}(\\mathrm{P})$229442207219847229352138919634
229872215820025
230142230020148
230432230220281
${ }^{2} \\mathrm{E}_{2}(\\mathrm{H})$233992268920712233962227820735
${ }^{2} \\mathrm{T}_{1}(\\mathrm{H})$262372545622966258032454022821
262762553323324
${ }^{2} \\mathrm{T}_{2}(\\mathrm{D})$304492952826374299582843826384
305142960126451
${ }^{2} \\mathrm{T}_{1}(\\mathrm{H})$319733088427572317202985527612
319893105228132
"} {"image_path": "images/ac402acc81d42c869fa808423a5013de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample'As cast'15 days in waterat $T=20^{\\circ} \\mathrm{C}$, wet15 days in waterat $T=20^{\\circ} \\mathrm{C}$,desiccated50 days in waterat $T=20^{\\circ} \\mathrm{C}$, wet50 days in waterat $T=20^{\\circ} \\mathrm{C}$,desiccated50 days in waterat $T=90^{\\circ} \\mathrm{C}$,desiccated
$E \\times 10^{-3}$(kg/c$m^2$)$\\sigma_{b}\\\\(\\mathrm{~kg} / \\mathrm{cm}^{2})$$ε_b$(%)$E_r$$σ_{br}$$ε_{br}$$E_r$$σ_{br}$$ε_{br}$$E_r$$σ_{br}$$ε_{br}$$E_r$$σ_{br}$$ε_{br}$$E_r$$σ_{br}$$ε_{br}$
Bisphenol Aresin314741.330.900.570.781.260.530.461.030.460.601.000.550.60---
Composite606451.180.970.840.790.970.840.821.080.770.761.000.900.821.200.620.42
Vinyl esterresin304661.68------1.100.580.431.131.261.101.40-1.20
Composite658381.441.071.071.101.090.990.950.940.831.181.050.950.901.100.760.69
Isophthalicresin375901.580.890.790.940.970.780.580.890.680.821.020.470.47too much brittle
Composite686561.051.020.900.821.060.930.990.960.810.861.091.020.950.87 0.46 0.41
Bisphenol Bresin373580.970.781.061.441.110.850.880.811.061.340.911.000.930.761.171.44
Composite735760.840.931.081.391.010.950.710.930.961.070.931.131.141.010.950.71
"} {"image_path": "images/7c6d96343d3e57af7318a6a5d73b3da2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sorten
OrteLFKBNAM
$\\varnothing$112110109102968783
Bred.115116117108568394
Wuh.12110911197798073
Scho.111106107951038370
Weh.10610210285949080
Esch.105110101951048177
Kli.139135130132121113108
Rau.9710093961008280
Hoh.1101111101091079086
Wei.10610611098998782
"} {"image_path": "images/4cecc5990dc221b3793d20c4f5b17ed9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Scalesper leafFrequencyof leavesLogarithmicrange2qExpected frequency
CensoredTruncated
089$(-~\\infty)-0$-78·7-
1790-1196·279·6
2-31361-23138·2131·7
4-71542-35150·3156.0
8-151243-47124·3132·8
16-31884-5977·781·1
32-63375-61136·935·7
64-127116-713}17·7}14·1
128-25527-815
Totals720--720·0631·0
"} {"image_path": "images/688d780622c265722013feec6d670900.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Exp. No.Catalyst Sample* Electroless Plating**Time, $t_{\\mathrm{p}}^{\\prime} / \\min$Heat Treatment in VacuumMagnetic Separation
Temp., $T_{\\mathrm{h}} / \\mathrm{K}\\left({ }^{\\circ} \\mathrm{C}\\right)$Time, $t^{\\prime}{ }_{\\mathrm{h}} / \\min$
Fe_Plate_SEMplate-type90N.P.N.P.
Fe_HC_SEMhoneycomb-type60N.P.N.P.
Fe_Plate_1plate-type90N.P.dry sorting $^{\\dagger}$
Fe_Plate_290913(640)180
Fe_Plate_390913(640)180
Fe_HC_1honeycomb-type45N.P.wet sorting ${ }^{\\ddagger}$
Fe_HC_260N.P.
Fe_HC_360913(640)180
Fe_HC_4451073(800)180
Fe_HC_5601073(800)180
Fe_HC_6601073(800)180
"} {"image_path": "images/f6c5d7ec5e3705c135a6d220697c87d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A2/A2A2/A3 A2/A4A3/A4A4/A4TotalAlleles
BMI<259256524168 A2:0.756A3:0.021A4:0.223
(55.9%)(3.5%)(38.1%)(1.2%)(2.4%)(2.6%)
BMI ≧25121100124 A2:0.729A3:0.021A4:0.250
(50.0%)(4.2%)(41.6%)(0%) (4.2%)(100%)
"} {"image_path": "images/1af322dbc7fe40d61047a8f83a9a6233.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
*(1)$(\\exists x) F x$(A)
*(2)Fy(1) y(EI)
*(3)(x)Fx(2) y(UG fallaciously)
$*\\left\\{\\begin{array}{l}(1) \\\\ (2)\\end{array}\\right.$$(\\exists x) F x$(A)
$(\\exists x)Gx$
*(3)Fy(1) y(EI)
*(4)Gy(2) y(EI fallaciously)
*(5)Fy . Gy(3)(4)(TF)
*(6)$(\\exists x)(Fx \\cdot Gx)$(5)(EG)
*(1)Fz(A)
*(2)(y)Fy(1)z(UG)
(3)$F z \\supset(y) F y$(2)(Cd)
(4)$(x)(F x \\supset(y) F y)$.(3)z(UG fallaciously)
"} {"image_path": "images/4c36d19c4df8b4f74e578f30f65be995.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SpeciesTotal energy ZPVEB3LYP/6-311G(d,p) $\\Delta E/(\\text{kcal/mol})$$\\text{CCSD(T)}/6\\text{-}311\\text{G(d,p)}$
B3LYP/6-311G(d,p)CCSD(T)/6-311G{d,p)
$\\mathbf{R}(\\mathrm{OH}+\\mathrm{HCNO})$-244.3771296-243.80301370.0278860.0
$\\mathbf{P}_{1}\\left(H_{2} O+NCO\\right)$ -244.4974039-243.92776560.029973-76.9735
$\\mathbf{P}_{\\mathbf{2}}\\left(\\mathrm{NH}_{2}+\\mathrm{CO}_{2}\\right)$-244.5362062-243.9684280.029072-103.055
$\\mathbf{P}_{3}$( HNO+HCO)-244.3955063-243.83206450.026776-18.9262
$\\mathbf{P}_{4}\\left(\\mathrm{HCN}+\\mathrm{HO}_{2}\\right)$-244.4024152-243.83443110.028807-19.1368
$\\mathbf{P}_{5}\\left(\\mathrm{NO}+\\mathrm{H}_{2} \\mathrm{CO}\\right)$-244.4630436-243.90053050.031017-59.228
$\\mathbf{P}_{\\mathbf{6}}\\left(\\mathrm{CO}+\\mathrm{H}_{2} \\mathrm{NO}\\right)$-244.1627996-243.90936310.031469-64.4869
$\\mathbf{P}_{7}\\left(\\mathrm{CO}+\\mathrm{H}_{2}+\\mathrm{NO}\\right)$ -244.4525086-243.90128790.019651-66.8356
1(CO+HNOH)-244.4618077-243.9016840.032102-59.271
$2\\left(\\mathrm{CO}+\\mathrm{NH}_{2}+\\mathrm{O}\\right)$-244.3267153-243.78124190.02392711.17771
3(NO+HCOH)-244.3788034-243.81839990.031241-7.5497
4 $\\left(\\mathrm{H}_{2}+\\mathrm{OCNO}\\right)$-244.4294518-243.84780440.023108-31.1049
$\\mathbf{a}_1$-244.4699493-243.88904950.036989-48.2761
$\\mathbf{a}_2$-244.47236-243.89184020.037351-49.8001
$\\mathbf{a}_3$-244.3371774-243.76095650.03334629.81752
$\\mathbf{b}_1$-244.4975159-243.91746440.037442-65.8225
$\\mathbf{c}_1$-244.4820242-243.90613690.037541-58.6522
$\\mathbf{c}_2$-244.4747243-243.89953790.037255-54.6908
$\\mathbf{c}_3$-244.4765462-243.90138190.036913-56.0625
$\\mathbf{c}_4$-244.4681461-243.89204670.036099-50.7154
$\\mathbf{a}_1/\\mathbf{a}_2$-244.4540737-243.8697920.035874-36.8915
$\\mathbf{a}_1/\\mathbf{b}_1$-244.4242973-243.84149840.032225-21.4268
$\\mathbf{a}_1/3$-244.3886396-243.81651750.032993-5.26908
$\\mathbf{a}_2/\\mathbf{c}_1$-244.4632921-243.88583550.033711-48.3163
$\\mathbf{a}_3/\\mathbf{P}_4$-244.3362762-243.75790240.03189630.82411
$\\mathbf{b}_1/1$-244.4215736-243.84426360.030537-24.2212
$\\mathbf{b}_1/\\mathbf{P}_3$-243.0998673-243.8198220.031673-8.171
$\\mathbf{b}_1/\\mathbf{P}_6$-244.3651191-243.78068620.03124616.11916
$\\mathbf{c}_1/\\mathbf{c}_2$-244.4487407-243.87476830.034448-40.909
$\\mathbf{c}_2/\\mathbf{c}_3$-244.4601148-243.88780480.036057-48.0799
$\\mathbf{c}_3/\\mathbf{P}_1$-244.3925294-243.81140530.029865-4.02397
$\\mathbf{c}_3/\\mathbf{c}_4$-244.4498038-243.87569420.034254-41.6118
$\\mathbf{c}_4/4$-244.4173204-243.83545360.028348-20.0665
$\\mathbf{1/P_6(CO+HNOH/H_2NO)}$-244.3869141-243.82444490.025981-14.6437
$\\mathbf{3/P_5(NO+HCOH/H_2CO)}$-244.3238013-243.761588224.2027524.20275
$\\mathbf{4/P_7(H_2 + OCN O/(CO+NO))}$-244.4175568-243.84428770.021002-30.2196
"} {"image_path": "images/09638a4a6edb1d60b77b82f4d0effa7c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelParametersr.m.s.d. (%)Temperature (K)
$a_{ij}~(J~mol^{-1})$$a_{ji}~(J~mol^{-1})$298.15308.15318.15
UNIQUAC1-2-1240.78-40.41
1-34100.88478.45$\\Delta\\beta$6.942.207.92
2-3-1744.691471.83F0.46910.28250.5698
NRTL1-2-174.08-1429.51
1-39498.758600.00$\\Delta\\beta$18.737.648.88
2-3-840.301108.42F0.72970.30440.8313
"} {"image_path": "images/4d2762e831f31eaf67f8d1b4ed472542.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NameSiteCountryGeographicalCoordinates
UKWYnyslasUnited Kingdom (Wales)52°31' N04°03' W
UKEBlakeney PointtUnited Kingdom (England)52°58' N00°35′ E
NtOostvoorneThe Netherlands51°52' N04°04' E
BgHet ZwinBelgium51°21' N03°22' E
PnSão JacintoPortugal40°41' N08°44' W
PsComportaPortugal38°23' N08°48' W
FrCamargueFrance43°30' N04°07' E
"} {"image_path": "images/41f0142d74719984299ae7048d7beb48.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分析员1MDC 项目部2001 年 1 月
编程员1MDC项目部2001 年 1 月
北方地区主管1安装和修理团队2001 年 6 月
南方地区主管1安装和修理团队2001 年 6 月
技术员4安装和修理团队2001 年 6 月
第五步:预期到工作中的人才流失。行为:识别要离开公司的员工,指出他们对于公司所做的贡献,并预期他们离开的日期。
员工角色职位离职的迹象预期离职的日期
第六步:制定工作说明书行为:排出你每季度可能需要填补的职位空缺的先后顺序。
工作名称职位空缺数目填补职位的季度
第七步:订立你的招聘战略。
A. 从第 9 章中找出你所属的文化类别,并明确你的价值取向。
文化类别价值判断
B. 找出会影响你的招聘能力的其他因素。
C. 基于你的文化、价值取向和其他约束,你招聘员工的战略是什么?
"} {"image_path": "images/37f4bf182c16afd4e7532d51b51fc3d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fragment(s)(kb)$Methylated^a$$\\text{cpm in Mononucleotides}^\\mathrm{b}$
dAMPdCMPdmeCMPdGMPTMP$R^c$
A 2748+NS16915NSNS<0.02
B 1697+2775264320180.02
C & D 374 & 348+204832091917<0.02
E 219+2731986NSNS0.02
B 1697-NS3380NSNSNS-
C & D 374 & 348-NS3207NSNSNS-
"} {"image_path": "images/dddcf4b7c6d099b0ef1b367361d7bb6a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temp.TypeofcurveLinear rate(mg./${cm.}^2$/hr.)$\\mathrm{CaH}_{2}$ contentof scaleformed inmixture A(mg./g.)Temp.TypeofcurveLinear rate(mg./${cm.}^2$/hr.)$\\mathrm{CaH}_{2}$ contentof scaleformed inmixture A(mg./g.)
Mixture AMixture BMixture AMixture B
$50^{\\circ}$I0·248--$325^{\\circ}$II0·673-8·2
100I0·068--350II1·780·73-
150I0·022--375II(3·89)-7·1
200II---400II(4·11)-6·9
225II0·1290·045-425III--4·4
250II0·6870·200-475III--${1·1}_9$
2750·2130·050-525III--${1·0}_1$
300I0·1660·0658·8
"} {"image_path": "images/2fbb6f03964af273caa9969a151bef88.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model constant categoryDesignationGeorgia kaolin clayLCTItsukaichi marine clay
Traditional$\\lambda $0.1210.0630.349
$\\kappa $0.0370.0090.057
$\\nu $0.20.20.3
$M_{c}/M_{e}$0.87/0.861.18/0.861.560/1.456
Plastic modulusRotational hardeningA17\\420
Z2.50.822
c3020980
"} {"image_path": "images/611ae9a03b119a7a02dac934524a42d6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table II. Empirical verification of the properties of $O^{W}(1)-r E^{W}(1)$undersimulations.
rDeath (%)Censoring(%)Corr.$OE_r^W$$\\widehat{\\mathrm{Var}}$$\\widetilde{\\mathrm{Var}}$
MeanVarMeanSDMeanSD
0.511.100-0.2755.455.46.855.72.5
8.632.40.13-0.4466.468.229.067.86.5
120.7000.11103.6103.78.6103.84.5
16.329.60.17-0.37125.2124.936.0125.512.6
236.300-0.14179.0181.210.7181.58.2
29.624.60.220.34220.0216.839.3216.121.8
"} {"image_path": "images/ff1263dc400e28dde3125afd7ec8d4fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Supportstiffnessk$\\Omega = \\omega a \\sqrt{\\rho(1 - \\mu^2)/E}$
123456
$10^{8}$$\\begin{array}{c}2.321\\\\(2.322)^\\mathrm{a}\\\\\\end{array}$ 2.473(2.474) 2.473(2.474) 2.631(2.631) 2.988(2.988) 3.453(3.453)
$10^{9}$ 2.324(2.325) 2.480(2.481) 2.480(2.481) 2.648(2.648) 2.989(2.990) 3.456(3.457)
$10^{10}$ 2.344(2.343) 2.535(2.531) 2.535(2.531) 2.778(2.762) 3.010(3.006) 3.480(3.477)
$10^{11}$2.3942.6762.6762.9363.3143.536
$10^{12}$2.4132.7342.7342.9463.5333.557
$\\infty$2.4162.7412.7412.9473.5603.564
"} {"image_path": "images/55e0a9d83ab571bbda76fb48e8a15116.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ReactionconditionGas composition (mol%)
$H_2$$CO_2$CO$CH_4$$\\begin{array} {c}\\mathrm{C}_2- \\\\ \\mathrm{C}_5 \\end{array}$$\\mathrm{C}_{\\mathrm{n}} \\mathrm{H}_{\\mathrm{m}}+\\mathrm{N}_{2}$
Temperature (°C)
6001.828.119.128.705.1667.09
7003.766.9011.1522.4130.1225.66
8004.945.0411.0123.1239.4616.43
"} {"image_path": "images/62bff93aa0335531929aa37eaee31ab0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Full sampleDemocrats(4)Republicans(5)
(1)(2)(3)
Cross-cutting-0.010-0.011*-0.011*
(0.007)(0.007)(0.007)
Reinforced-0.0010.0010.001
(0.007)(0.007)(0.007)
Dem + Dem treatment-0.002
(0.010)
Dem + Rep treatment-0.004
(0.009)
Rep + Dem treatment-0.018*
(0.010)
Rep + Rep treatment0.003
(0.010)
White0.120***0.098***0.108***0.118***0.090***
(0.001)(0.001)(0.001)(0.001)(0.002)
Black0.010***0.006***0.010***0.019***-0.070***
(0.001)(0.001)(0.001)(0.001)(0.003)
Female0.035***0.030***0.031***0.036***0.019***
(0.000)(0.000)(0.000)(0.001)(0.001)
Household size 1-0.109***-0.097***-0.093***-0.019**-0.263***
(0.007)(0.007)(0.007)(0.009)(0.014)
Household size 20.038***0.043***0.045***0.093***-0.089***
(0.007)(0.007)(0.007)(0.009)(0.014)
Household size 30.030***0.029***0.029***0.079***-0.104***
(0.007)(0.007)(0.007)(0.009)(0.014)
Household size 40.054***0.050***0.049***0.085***-0.067***
(0.008)(0.008)(0.007)(0.009)(0.014)
Household size 50.032***0.027***0.027***0.043***-0.053***
(0.008)(0.008)(0.008)(0.010)(0.014)
ZIP-level covariatesYesYesYesYes
County fixed effectsYesYesYes
N3,909,5203,909,5203,909,5202,240,5511,668,969
$R^2$0.0980.1170.1250.1370.113
"} {"image_path": "images/786fb341638522cdcb220674df5241a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Scenario A1 - External contaminationScenario A2 - Internal contamination
LocationExperimentalNumericalLocationExperimentalNumerical
PP/$m^3$SGPP/$m^3$SGPP/$m^3$SGPP/$m^3$SG
$(\\geq0.5\\mu m)$$(\\geq0.5\\mu m)$$(\\geq0.5\\mu m)$$(\\geq0.5\\mu m)$
P10505P10505
P214384.405P215764.405
P30505P30505
"} {"image_path": "images/95c25c5538bbfd89a7e4274420e2883a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
JObs.Obs.-Calc.Obs. Obs.–Calc.Obs.Obs.-Calc.
$P_{31}$$Q_{31}$$R_{31}$
114 790.250-0.01714 791.0710.00514 791.5680.018
214 789.938-0.01214 791.2110.03514 792.054-0.033
314 789.647-0.03214 791.3600.02714 792.651-0.020
414 789.405-0.04314 791.5370.00814 793.3230.029
5. . .. . .14 791.744-0.01214 793.935-0.013
614 789.1070.03314 791.999-0.009. . .. . .
714788.9530.03514 792.270-0.00814 795.318-0.003
814788.771-0.00514 792.554-0.00614 796.022-0.006
914 788.637-0.00514 792.847-0.004. . .. . .
1014 788.513-0.00114 793.141-0.006. . .. . .
1114 788.3940.006. . .. . .. . .. . .
$P_{32}$$R_{32}$
114 784.5270.00214 785.805-0.003
214784.102*0.01314786.252*0.025
314 783.6970.04914 786.6410.001
414 783.2240.02214 787.030-0.018
514 782.7520.00114 787.440-0.010
614 782.287-0.00714 787.837-0.009
714 781.821-0.01114 788.218-0.016
814781.359-0.00514 788.604-0.012
914 780.8880.00014 788.982-0.007
$P_{33}$$Q_{33}$$R_{33}$
114784.102*0.00914 784.868-0.02414 785.354-0.022
214 783.530-0.00814 784.8220.05814 785.630-0.045
314 782.904-0.02214 784.6060.02714 785.9890.071
414 782.228-0.03714 784.345-0.00114 786.1410.030
514 781.6300.06814 784.038-0.03214786.252*-0.009
614 780.8610.03714 783.742-0.01614 786.373-0.002
7. . .. . .14 783.402-0.01314 786.456-0.002
8. . .. . .14 783.033-0.013. . .. . .
9. . .. . .14 782.648-0.005. . .. . .
"} {"image_path": "images/7e412074c019ea7572a16774864fc03f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(A)(B)(C)(D)(E)(F)
Panel A: Newsday ${ }_{t}$
$ \\text{ IVol}_{t-1} $0.025***0.017***0.164***
(0.000)(0.000)(0.000)
$\\left|\\operatorname{Return}_{t-1}\\right|$9.655***1.493***7.213***
(0.000)(0.000)(0.000)
$\\text{Newsday}_{t-1}$0.906***1.834***0.776***
(0.000)(0.000)(0.000)
$\\left|\\text { Sentiment }_{t-1}\\right|$0.992***-0.752***-0.150***
(0.000)(0.000)(0.000)
Day fixed effectsNoNoNoNoNoYes
Log-likelihood-2,405-2,403-2,343-2,388-2,378-2,104
$\\text{Panel B: No. of news stories}_t$
$ \\text{ IVol}_{t-1} $0.063***0.042***0.168***
(0.000)(0.000)(0.000)
$\\left|\\operatorname{Return}_{t-1}\\right|$6.662***5.011***7.684***
(0.000)(0.000)(0.000)
$\\text{Newsday}_{t-1}$0.712***0.803***0.349***
(0.000)(0.000)(0.000)
$\\left|\\text { Sentiment }_{t-1}\\right|$0.409***-0.331-0.012***
(0.000)(0.000)(0.000)
Day fixed effectsNoNoNoNoNoYes
Log-likelihood-1,107-1,107-1,092-1,106-1,090-1,063
"} {"image_path": "images/ae968f69040d88de29de33c574b729d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableMeasured valueat 10.26hMDC valueat 10.26h Relative difference $(\\%)$Maximum reduction frompre-eclipse value
${R_{\\mathrm{s}}\\left(\\mathrm{W} / \\mathrm{m}^{2}\\right)}$18.1773.8-97.7438.8
$T_{\\mathrm{a}}\\left({}^{\\circ}~\\mathrm{C}\\right)$ 18.923.0-17.83.0
D(kPa)0.540.81-33.10.27
$F_{\\text {LA }}\\left(\\times 10^{-9} \\mathrm{~m}^{3} /\\left(\\mathrm{m}^{2} \\mathrm{~s}\\right)\\right)$
at 22m0.808.96-91.03.72
at 16m0.374.83-92.41.36
at 9m0.335.08-93.51.78
$J\\left(\\times 10^{-7} \\mathrm{~m}^{3} / \\mathrm{s}\\right)$14.962.7-76.226.7
"} {"image_path": "images/2ca04bd2962db4cdc9a72201eec3725b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Subcellular locationSizeMLMK-TLM-I (optimistic)$\\left(H=1 ; \\gamma=2^{-3} ; C=2^{8}\\right)$MLMK-TLM-II (moderate)$\\left(H=1 ; \\gamma=2^{-3} ; C=2^{7}\\right)$MLMK-TLM-III (pessimistic)$\\left(H=1 ; \\gamma=2^{-3} ; C=2^{11}\\right)$
SPSEMCCSPSEMCCSPSEMCC
Cell wall320.90630.90630.90330.80000.62500.69930.53660.68750.5940
Chloroplast2860.95490.96150.94300.74920.77270.68400.66770.73780.6063
Cytoplasm1820.92270.91760.90400.56910.76920.59120.69150.71430.6467
Endoplasmic reticulum420.94870.88100.91080.80650.59520.68250.73680.66670.6894
Extracell221.00000.95450.97650.66670.63640.64420.62500.45450.5248
Golgi210.95000.90480.92570.76470.61900.68250.55560.47620.5054
Mitochondrion1500.95390.96670.95370.81630.80000.77860.76060.72000.7015
Nucleus1520.93670.97370.94740.85520.81580.80970.78480.81580.7680
Peroxisome210.85710.85710.85430.76470.61900.68250.68750.52380.5932
Cell membrane560.90740.87500.88510.60000.69640.62600.58930.58930.5673
Plastid390.94440.87180.90400.50000.10260.21490.19050.10260.1171
Vacuole520.88680.90380.88990.68420.50000.56760.51110.44230.4515
Overall accuracy/MCC93.74%/0.931871.94%/0.695267.68%/0.6490
"} {"image_path": "images/ef2e056ec5cf2a93eee05a332901ef00.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
变量干预组对照组变量干预组对照组
MSDMSDMSDMSD
大体评定量表自我总分2.880.342.930.39
GAS分数47.2113.9945.4412.42生活质量综合评定问卷
阳性与阴性症状量表睡眠与精力因子78.1919.1464.6520.08
阳性量表分18.866.2018.265.99躯体不适感因子75.7621.3562.1018.58
阴性量表分20.377.0519.986.14进食功能因子77.7318.9468.1318.48
一般精神病理量表分37.146.7236.077.65性功能因子65.4617.6950.9819.09
反应缺失症状群10.262.939.912.77运动与感觉功能因子75.2417.3666.3220.81
思维障碍症状群10.813.7610.193.28精神紧张度因子77.9816.4465.2620.10
激活性症状群6.791.936.561.79负性情感因子82.7814.0568.0924.22
偏执症状群10.423.6910.373.73正性情感因子80.6116.1064.8122.19
抑郁症状群8.771.868.742.39认知功能因子75.2117.2962.1719.47
PANSS总分76.3716.4374.3015.72自尊因子77.4114.8661.8317.57
田纳西自我概念问卷社会支持因子50.7418.9942.4616.77
生理自我2.890.442.870.62人际交往能力因子69.0417.9362.6621.98
道德自我3.060.433.030.66工作与学习因子67.1220.5062.3215.55
心理自我2.810.542.670.52业余娱乐生活因子75.1314.2670.7818.15
家庭自我2.840.392.880.55婚姻与家庭因子68.3616.6360.0917.16
社会自我2.880.472.950.67生活质量总体评价因子73.7814.8462.7914.49
自我认同2.910.362.950.55躯体功能维度74.4814.1062.4413.92
自我满意2.900.502.950.61心理功能维度78.809.2464.4314.74
自我行为2.820.402.900.61社会功能维度66.0813.6759.6612.63
自我批评2.650.822.700.79
"} {"image_path": "images/229f9827a67e65c7183f7623098b9a23.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$m_s\\left ( MeV \\right ) $$\\mu=M(\\mathrm{GeV})$$\\mathrm{K}^0 \\to \\pi^+ \\pi^-$$\\mathrm{K}^0 \\to \\pi^0 \\pi^0$$\\mathrm{K}^+ \\to \\pi^+ \\pi^0$
1250.622.920.31.75
0.722.320.01.58
0.822.220.31.33
1500.620.417.91.75
0.720.117.81.58
0.820.118.21.33
1750.619.016.51.75
0.718.816.51.58
0.818.817.01.33
Data27.726.31.84
"} {"image_path": "images/9b04249a580f726f1d0a667782acc04a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
systemEthaneEthylene$Cu^{+}$
$\\mathrm{H}_{\\text {ethane,Cu }}\\left(\\times 10^{-4} \\mathrm{~mol} / \\mathrm{L} / \\mathrm{kPa}\\right)$$\\mathrm{H}_{\\text {ethylene,Cu }}\\left(\\times 10^{-4} \\mathrm{~mol} / \\mathrm{L} / \\mathrm{kPa}\\right)$ $K_{\\text{eq}}(\\mathrm{~L}/\\mathrm{mol})$ $\\mathrm{C}_{\\mathrm{Cu}, \\text { total}}~(\\mathrm{mol} / \\mathrm{L})$
CuCl/ChCl-G1.672.351410.430
CuCl/ChCl-EG1.442.041270.244
$ CuCl/[Bmim][Cl]-G $1.582.441110.124
$\\mathrm{CuCl} /[\\mathrm{Bmim}][\\mathrm{Cl}]-\\mathrm{EG}$1.802.231050.109
"} {"image_path": "images/7e7801e68b2fac551cd974c36b72ab38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ExperimentVariablesResponses
$X_1$$X_2$$X_3$$Y_1$$Y_2$$Y_3$
7(block 1)1.68003.1883.7300.00885
8(block 1)1.68002.8403.3350.00946
9(block 2)0004.0535.1400.00414
10(block 2)1-1-13.3845.2200.00536
11(block 2)0002.9555.3000.00426
12(block 2)-11-15.58610.0590.00321
13(block 2)-1-113.8306.7900.00287
14(block 2)1112.1053.7650.00600
15(block 2)01.6803.7046.350.00431
16(block 2)01.6804.8037.3880.00397
17(block 3)-1.68004.44011.9010.00144
18(block 3)1.68002.9023.7930.00904
19(block 3)0003.8685.8870.00422
20(block3)00-1.685.39813.7480.00288
21(block 3)01.6802.6997.8890.00367
22(block 3)001.682.3063.9650.00594
23(block 3)0-1.6802.5684.8360.00564
24(block 3)0004.2354.9500.00509
"} {"image_path": "images/8fd1b066aa9c1bbb0b3c682b4fe3a6bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OrganismTreatmentgroupNew infections
No.Percentage
QuartersReduction
Staphylococcus aureus$\\text{Control}^{\\text{a}}$10.1
$\\text{Predip}^{\\text{b}}$20.3
Streptococcus speciesControl334.7
Predip223.1
Gram-negative bacteriaControl294.155.1
Predip131.8*
OtherControl91.3
Predip00
All major pathogensControl7210.248.6
Predip375.3**
Staphylococcus speciesControl324.5
Predip365.1
Corynebacterium bovisControl131.8
Predip121.7
All minor pathogensControl456.4
Predip486.8
All major and minor pathogensControl11716.627.4
Predip8512.1*
"} {"image_path": "images/969c8ebe37912bb7c4df877e107d9f76.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
xyz$U_{1SO}$PreviouslabelOccupancy
M10.9710.8130.692M1(T=0)0.4325Mg + 0.5675Si
M10.980 (1)0.813 (1)0.690 (2)0.031 (2)0.4325Mg + 0.5675Si
M20.2790.0630.308$M1[T=\\frac{1}{2}(b+c)]$0.4325Mg + 0.5675Si
M20.274 (1)0.060 (2)0.289 (1)0.031 (2)0.4325Mg + 0.5675Si
Nal0.5000.0630.750Na1(T=0)0.87
Nal0.505 (4)0.058 (2)0.698 (7)0.041 (4)0.435
Na20.479 (3)0.049 (2)0.791 (7)0.041 (4)0.435
Na20.7500.3130.250$Na1[T=\\frac{1}{2}(b+c)]$0.87
Na30.744 (2)0.306 (2)0.170 (5)0.041 (4)0.435
Na40.788 (2)0.326 (2)0.311 (5)0.041 (4)0.435
O10.0670.9040.750O1(T=0)1.0
O10.070 (1)0.907 (1)0.738 (3)0.054 (3)1.0
O20.0000.7790.384O2(T=0)1.0
O20.026 (1)0.786 (1)0.367 (3)0.054 (3)1.0
O30.2500.9710.116$O2[T=\\frac{1}{2}(b+c)]$1.0
O30.237 (1)0.956 (1)0.129 (3) 0.054 (3)1.0
O40.8170.8460.750O2(T=0)
O40.818 (1)0.840 (1)0.809 (2) 0.054 (3)1.0
"} {"image_path": "images/168f2ff9f13201758e23bd81f79402b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
N.$I_{V}.$$\\alpha.$$\\Delta/N.$$\\frac{1}{\\mathrm{D}}=\\frac{\\mathrm{N}(1+\\alpha)}{\\Delta}$.$I_{V}$-K.$q\\mathbf{N}~\\left(\\mathrm{I}_{\\mathrm{V}}-\\mathrm{K}\\right).$1/Dcalc.Diff.
$\\left.\\begin{matrix}0.3395\\\\0.3377\\end{matrix}\\right\\}$5·2970·727$\\left\\{\\begin{matrix}3.337\\\\3.344\\end{matrix}\\right.$$\\left.\\begin{matrix}0.518\\\\0.515\\end{matrix}\\right\\}$4.097$\\left\\{\\begin{matrix}0.0192\\\\0.0191\\end{matrix}\\right.$0·515-3
0·515±
0·2595·5680·7493·370·5194.3680.01560·518-1
0·2015·7940·7693:3850·5234.5940.01270·521-2
0·1516·0210·7903·410·5244.8210·01210·522-2
0·1006·2890·819$\\left\\{\\begin{matrix}3.472\\\\3.457\\end{matrix}\\right.$$\\left.\\begin{matrix}0.524\\\\0.526\\end{matrix}\\right\\}$5·0890·0070$\\left\\{\\begin{matrix}0.527\\\\0.527\\end{matrix}\\right.$+3
+1
0·0766·4430·8373:4850·5275·2430.00550·529+2
0·0546·6260·8633·500·5325·4260·00380·530-2
0-03786.7330·8783·550·5295·5330.00290·531+2
$\\left.\\begin{matrix}0.02552\\\\0.02527\\end{matrix}\\right\\}$6·8810.896$\\left\\{\\begin{matrix}3.547\\\\3.562\\end{matrix}\\right.$0.535$\\left.\\begin{matrix}0.535\\\\0.532\\end{matrix}\\right\\}$5·681$\\left\\{\\begin{matrix}0.0020\\\\0.0020\\end{matrix}\\right.$0·532-3
0·532±
"} {"image_path": "images/b169b5c85c4866f1bfe585b7a6a9072d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
S Starting compositionApparent density$(\\text{g/cm}^3)$/relative$density(\\%)$Lattice parametera,$\\left(\\mathring{\\text{A}}\\right)$ c,$\\left(\\mathring{\\text{A}}\\right)$Phase (wt.%)$$\\text{ Average crystallite size,} D(nm)/$$Residual strain
$\\mathrm{MgB}_2$$\\mathrm{MgB}_4$MgO$\\mathrm{Mg}_2 \\mathrm{Ge}$$^*\\ce{MgB_{2}}$MgO$\\mathrm{Mg}_2 \\mathrm{Ge}$
“a” $\\ce{MgB_{2}}$2.5295.33.0833.52484.87.97.3-250 ± 150/0.71$ \\begin{array}{r} 159 \\pm 34 \\\\ \\hline \\end{array} $-
“b” $\\mathrm{MgB}_{2}(\\mathrm{Ge})_{0.005}$2.5996.83.0843.52879.412.96.80.9252 ± 202/0.7475±4164 ± 25
“c” $\\mathrm{MgB}_{2}\\left(\\mathrm{GeO}_{2}\\right)_{0.005}$2.5294.43.0843.52877.313.78.01.0223 ± 147/0.7267±4661±32
“d” $\\mathrm{MgB}_{2}\\left(\\mathrm{Ge}_{2} \\mathrm{C}_{6} \\mathrm{H}_{10} \\mathrm{O}_{7}\\right)_{0.0025}$2.4693.83.0813.52779.79.89.51.0183 ± 115/0.8190±49-
“e” $\\mathrm{MgB}_{2}\\left(\\mathrm{Ge}_{2} \\mathrm{C}_{6} \\mathrm{H}_{10} \\mathrm{O}_{7}\\right)_{0.0014}$2.5094.13.0823.52781.29.98.30.64192 ± 130/0.7758±40-
"} {"image_path": "images/de5af84dfedcca6eedbcaf346173cfdc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LayerTreatment 4 (limestone)
Range (cm)pH[H] (mol/L)$u_z$ (cm/min)$D_z$ ($\\mathrm{cm^2/min}$)
Chicken litter and limestone0-2.97.672.156E-081.141517.3180
Clay2.9-52.95.562.754E-06
Limestone52.9-53.59.344.571E-101.544124.2243
Barren53.5-141.52.157.079E-033.591219.4554
"} {"image_path": "images/9a22e80ab59529df12f2ce319ce7e746.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VALUE OF z$GROUP A^{*}$IST RATING$GROUP A^{*}$2ND RATINGGROUP BGROUP C
—1.00 to —.8111
—.80 to —.614411
—.60 to —·4I6968
-1.40 to —.21 85175
—.20 to 一.0132113
.00 to .19I212
.20 to .39I1
.40 to .5921
.60 to .79
.80 to .991
Total272437I9+
Average z—.263—.383—.246—.332
Average r—.25—.36—.24—.32
SD of Z.419.3I2.219.224
Theoretical.209.224.174.236
$SD of Z\\neq$
"} {"image_path": "images/15da46bc80bf636a1885ff5f2c0cf4cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temperature(°K) $QS^{(A)}$(mm/s) ${IS}^B$(mm/s)In $[A(T)/A(120)]^{c}$$\\chi^{(D)}$
$[FeBr(OCOC_{6}H_{5})]_{n}$
2962.5251.148-0.6728487
2502.5871.173-0.4969498
2002.6351.207-0.2718457
1602.6781.233-0.1448607
1202.7051.2630560
782.7191.2830.1150625
$[Fel(OCOC_{6}H_{5})]_{n}$
2952.5041.121-0.5269451
2502.5231.143-0.3944531
2002.5381.183-0.1731492
1272.5601.2220512
782.5781.2480.1535504
"} {"image_path": "images/115c809568c4de62b37050401b4577fe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\text{No.}$Substituents Chemical shift, ppm$\\frac{\\Delta \\delta}{\\delta_{2}-\\delta_{1}}, $$\\mathrm{ppm}$$\\mathrm{p} K_{\\mathrm{C}}[12]$$(\\mathrm{H}_2\\mathrm{O})$σ[13]
without$${\\mathrm{Et}_{3} \\mathrm{~N}, \\delta_{1}} $$$with~\\mathrm{Et}_{3} \\mathrm{~N},$$\\delta_{2}$
13,4 -Dimethy14,628,243,6210,32-0,24
24 -Methy14,928,703,7810,14-0,17
33,5- Dimethy15,128,983,8610,15-0,14
4 $4 -\\mathrm{Fluor}$ 5,149,734,599,95$0,06$$(0,005)^*$
53 - Methy15,209,103,9010,08(0,005)
614- Chloro5,289,804,689,380,23
74 - Methoxy5,258,182,9310,21-0,27(-0,13)
8Without substituent5,429,453,739,980
93 - Methoxy5,548,603,069,65-0,12
10 $3 - \\mathrm{Nitro}$ 6,0244,305,288,400,71
114 - Carbethoxy-11,3611,58$8,47^\\ddagger$0,52(0,64)0,52
124 - Acetyl$(6,20)^{\\dagger}$$(10,84) ^{\\dagger}$$(4,64)^{\\dagger}$8,05(0,84)
134 - Nitro-12,24-7,150,78(1,24)
"} {"image_path": "images/823166c7346f5370b81d1c7b24b59b45.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$H_{1}$$H_{2}$$H_{3}$$H_{4}$$H_{9}$
t=1:$H_{1}$1511511
t=2:1711211
t=3:231411
t=4:291611
t=5:361311
t=6:431311
t=7:501211
t=8:561211
t=9:641111
t=1:$H_{2}$121111
t=2:131111
t=3:141111
t=4:150121
t=5:158121
t=6:167121
t=7:174121
t=8:182131
t=9:189131
t=1:$H_{3}$0021211
t=2:0022391
t=3:0013371
t=4:0011431
t=5:008441
t=6:007501
t=7:006531
t=8:006571
t=9:006611
t=1:$H_4$0020241
t=2:0016341
t=3:0031482
t=4:0032592
t=5:0040682
t=6:0043752
t=7:0048833
t=8:0052903
t=9:0056973
"} {"image_path": "images/958ef736f40c924ff2d057144001cc8e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SectionRatiosOriginal valueApproximation
$A_1 / B_1$0.15082036934/280.1428571429
$I_1 / B_1$0.03568497311/280.0357142857
$J_1 / B_1$0.03568497311/280.0357142857
$C_1 / D_1$0.25794696291/40.2500000000
$E_1 / D_1$1.64956174857/41.7500000000
$F_1 / B_1$0.000000000000.0000000000
$G_1 / D_1$0.25760697661/40.2500000000
$H_1 / D_1$0.000000000000.0000000000
$A_2 / B_2$0.28923443702/70.2857142857
$I_2 / B_2$0.33527173852/70.2857142857
$J_2 / B_2$0.33527173852/70.2857142857
$C_2 / D_2$0.34422474195/140.3571428571
$E_2 / D_2$0.27838622464/140.2857142857
$F_2 / B_2$0.000000000000.0000000000
$G_2 / D_2$0.32539800155/140.3571428571
$H_2 / D_2$0.000000000000.0000000000
"} {"image_path": "images/310dcb34e63e7dae52651840dcbfa421.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Experiment/DateNumber ofsamplesOriginalarithme-ticmean Standarddevia-tion of con-centrationobserva-tionsCoefficientof vari-ationsMaximum likelihood estimates ofthe parameters of the model
N$\\bar{c}$$\\sigma_{c}$$i_c$$\\hat{\\lambda}_{1}$$\\hat{\\lambda}_{2}$MeanStandarddeviation
E1/16.6.7221546.85.30.78-0.050.3601.590.68
E2/16.6.72151946.565.71.4-0.110.1352.420.96
E3/16.6.7219354.610.12.2-0.6320.4350.540.70
E4/17.6.72352031.130.30.98-0.052.202.700.75
"} {"image_path": "images/daa0e8be553ec0d8526b097b706e332f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Bus no.iPPNameActualc dispatchedMWCase 1(i) dispatchedMWCase 1(ii) dispatchedMWCase 1(iii) dispatchedMWU.G. cost$C_{gi}$U.G. cost Case 1(ii)$C_{gi}$
1GHZ38027182372248223726467
2QPP25692500250025005153
9GHZ23015271600160016006366
11SHE2307201219121912197275
12FAR2305299109109107477
21DMP223400400400108113
26AZY832404294404132138
29RAS142120120120101106
31SAF0757575100105
43JO1291808080132138
44J2A290808080132138
45J2B290808080132138
46BER1382152152157578
48QAIS14108108108148155
52UTH1972722722727074
53JUY731181181188589
Average cost (SR/MWH)75717371
Optimal value (SR/H)1,001,1371,190,0101,181,413
Generation cost (SR/H)744,223769,516744,223
Wheeling cost (SR/H)256,914420,494437,190
"} {"image_path": "images/21f3a9848fa0714359e792bb9bce449e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Source ApplicationNumberof UnitsNumbernotEfficientNumber DEANaturallyEnveloped NumberCFA Quasi-enveloped
Banker and Morey (1986b)Pharmacies
All populations6948 $6(12.5\\%)$ $39(81.3 \\%)$
Large populations2316 $2(12.5\\%)$ 14(87.5%)
Bessent and Bessent Public Schools
(1981)216154$0(0 \\%)$$73(47.4 \\%)$
(1982)293262$ 4(1.5\\%) $213(81.3%)
(1983)277245$21(8.6 \\%)$$166(67.8 \\%)$
(1984)274200$0(0\\%)$$73(36.5 \\%)$
(1985)236162$0(0\\%)$ $47(29.0\\%)$
Charnes, Cooper and Rhodes(1981)Public Schools
Follow Through4932$0(0\\%)$$5(15.6\\%)$
non-Follow Through2113$0(0\\%)$$0(0 \\%)$
Total14581132$33(2.9 \\%)$$630(55.7 \\%)$
"} {"image_path": "images/18a6fb5669c5b258c82cda5aede4e5c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Factors$L1^{a}$L2L3L2 - L1L3 - L2
1Pressure37.538.436.40.9-1.9
2pH37.537.337.5-0.20.2
3Flow velocity37.137.837.40.7-0.3
4Oil concentration38.137.536.7-0.6-0.8
5Membrane type36.039.137.13.1-1.9
"} {"image_path": "images/bf0dd06b6ce2f647aa353313b83c5390.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编 号2-882-892-902-91
项 目BNC 接头RJ45、RJ11接头同轴电缆接头 F 型VGA 接头
工 料 机 名 称单位消 耗 量
人工00010503综合用工二类工 日0.1080.0510.0630.180
材料3013210001BNC 接头 75-51.0100---
2909010501冷压接线端头 RJ45-1.0100--
26450006F 型插头 75-7 以下--1.0100-
30330001VGA 插头---1.0100
03130301焊锡丝 综合kg0.0150--0.0180
03130502焊锡膏kg0.0020--0.0025
34050002标签纸--0.0100-
34000011其他材料费 占材料费%7.007.007.007.00
机械8731030010数字万用表 F-87台班--0.01000.0020
99460004其他机具费 占人工费%3.003.003.003.00
"} {"image_path": "images/546b842494ec5237afecff10007f49ec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Catalyste^a$ AverageConcentrations(Moles per Liter) Velocityof BiuretFormation(Moles per LiterSecond $\\times10^{4}$) ApproximateEquilibriumConcentration(Moles per Liter)Reaction Constant
UreaBiuretUreaBiuret$\\frac{1}{\\mathrm{Sec.}}.$x $10^4$$Average$$\\frac{1}{\\mathrm{Sec.}}$x $10^4$
$\\mathrm{NH}_{4} \\mathrm{NO}_{3}$ (acid)11.35.60-1.1116.91.650.23
19.2 0.29+0.3616.91.650.200.22
None13.24.73-1.4417.41.70 0.38
19.60.45+0.62517.41.700.37
19.70.41+0.7417.41.700.420.39
KOCN (base)11.75.30-3.1116.91.65 1.650.69
19.20.40+1.3016.91.650.750.72
"} {"image_path": "images/f025c406213b83056a2dee00b9204b6a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ClassNormalization factor (Ci)
IIIIIIIVV
1009080706050403020100
Cond($\\mu $S/cm)<750<1000<1250<1500<2000<2500<3000<5000<8000≤12,000>12,000
DO (mg/L)≥7.5>7.0>6.5>6.0>5.0>4.0>3.5>3.0>2.0≥1.0<1.0
Turb (NTU)<5<10<15<20<25<30<40<60<80≤100>100
"} {"image_path": "images/578fdda61c05c0494675bbebcb257a54.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ScenariosTotalIncreaseDecreaseEstablishment probability
$Area^a~(km^2)$Percent (%)$Area^a~(km^2)$Percent (%)$Area^a~(km^2)$Percent (%)Mean (%)Change (%)
Baseline1,778,90035.98
HadCM3
2050 a21,779,125 +0.0286,025+4.8485,800-4.8228.67-7.31
2050 b21,802,350+1.3299,825+5.6176,375-4.2928.31-7.67
CCCMA
2050 a21,799,750+1.17184,975+10.40164,125-9.2331.23-4.75
2050 b21,784,325+0.31152,075+8.55146,650-8.2430.31-5.67
CSIRO
2050 a21,887,000+6.08221,250+12.44113,150-6.3627.15-8.83
2050 b21,900,500+6.84213,425+12.0091,825-5.1630.70-5.28
"} {"image_path": "images/5637a70dc7b14370e4f7fa5715cfa8ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Unperturbedcircle radius $r_0$$\\Lambda_{\\mathfrak{e}}$ (exact)=4.9348$\\Lambda_{\\mathfrak{p}}$(perturbation) $(\\Lambda_{e}-\\Lambda_{p})/\\Lambda_{e}$$|X(\\mathbf{r}_{s_{0}})|_{\\max}/r_{0}$
Eq. (98)Eq. (99)Eq. (98)Eq.(99)
1.04.36974.20290.120.180.17
1.14.58654.52960.070.080.08
1.12224.59224.54140.070.080.07
1.12844.59184.54200.070.080.06
1.24.53684.48110.080.090.04
1.20714.52724.46970.080.090.03
1.34.35804.26580.120.140.05
"} {"image_path": "images/458b2724b4dddc6ff8270485bf339d23.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PrimerAmplified fragment(Approx. no. of base pairs)$\\mathrm{Species^{a} }$
123456
10JB900+++++-
800--+--+
758-++---
694--+++-
640+-+---
594--++++
511--++++
447++++++
369-+++++
324++++++
11JB1268++---+
1140-+---+
900++++++
800++++++
700++---+
642--+++-
582-+--+-
500++++++
434+++--+
333---+-+
12JB1392--$+^{b} $---
1292---$+^{b} $--
1230----$+^{b} $-
985-$+^{b} $----
819++++++
660-+--++
600+--+-+
560+-++--
411-----$+^{b} $
324+++---
200$+^{b} $-----
"} {"image_path": "images/a568a409d93f26427a6454e4d7d51e0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.O/W emulsion propertiesHeterogeneous 2-D model properties
$d_{5o}$$({\\mu}m)$ $\\sigma$(mN/m) $\\theta$(%) ${\\mu}$(cP) $K_L$(Darcy) $K_H $$(Darcy)$ $\\varphi$(%)PV$({cm}^3) $
11.50.49108002.457.2240.41333.89
23.60.49108002.857.0340.69336.23
34.80.49108002.456.9241.99346.98
45.80.49108002.326.8739.37325.33
"} {"image_path": "images/e757b0e75b8ace9933a63d4806b060a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
P, %$I_h,$ microns/kmP, MPa$K_{IC},\\mathrm{MPa}\\cdot\\mathrm{m}^{1/2}$μ$d·10^{6},$ mHB
ExperimentalCalculated (27)
26.23.80.3532.00.281.14101
9.312.20.89
24.023.71.49
66.857.62.95
43.72.50.2424.60.282.0295
7.08.10.60
18.615.61.00
40.938.0-
60.463.92.00
8.64.63.50.33180.271.7876
10.611.40.83
20.0-1.40
23.322.22.80
69.890.84.20
13.64.33.70.25170.261.7975
11.29.00.64
23.217.11.06
4.63.70.36
2016.311.90.9080.251.8348
21.122.91.50
62.657.83.10
"} {"image_path": "images/70272d9f6149a08be9849115d4d4a5d7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Number ofSpacesOrder*Centers
No $Flankert \\dagger$$Flankert \\dagger$
11343325
2300337
3328357
4254330
31255305
2288301
3300380
4258288
Slopes
No $Flanker \\ddagger$$Flanker \\ddagger$
LeftRightLeftRight
118.87.125.312.9
27.34.113.94.6
319.78.426.915.2
429.014.233.610.7
319.62.58.43.9
21.02.06.52.8
37.75.86.30.7
47.77.17.86.7
"} {"image_path": "images/dc96f758a9f58ad219c9f40b0a91479a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Solution$Q_{oxide}$$Q_{dl}$
$R_{sol}/~(\\Omega\\text{ cm}^2)$$Y_2/(\\text{S cm}^{-2}\\:\\mathrm{s}^n)$$n_2$$R_{oxid}/(\\mathrm{k\\Omega~cm}^2)$$Y_3/~(\\text{S cm}^{-2}\\:\\mathrm{s}^n)$$n_3$$R_{CT}/~(\\mathrm{k\\Omega~cm}^2)$$W/~(\\Omega~\\text{cm}^2~\\text{s}^{0.5})$$\\div^2$
NaCl, pH 6.599$1.9 \\times 10^{-4}$0.790.2$4.5 \\times 10^{-4}$0.740.5$4.7 \\times 10^{-3}$$ 2.2\\times 10^{-4} $
NaCl, pH 11122 $2.0\\times 10^{-4}$ 0.800.4$ 1.0\\times 10^{-3} $0.700.6-$2.0 \\times 10^{-4}$
NaCl, ETA, pH 11100 $1.7\\times 10^{-4}$ 0.870.5$ 7.5\\times 10^{-5} $0.691.4-$2.1 \\times 10^{-5}$
NaCl, CHA, pH 1196.1$3.1 \\times 10^{-5}$0.890.6$ 4.5\\times 10^{-5} $0.902.5-$8.5 \\times 10^{-5}$
NaCl, DCHA, pH 11131$2.2 \\times 10^{-5}$0.840.2$2.7 \\times 10^{-5}$0.840.7-$4.7 \\times 10^{-5}$
"} {"image_path": "images/122be836562c758ea4bce85706c5c181.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CH$CH_A$CL$CL_A$
$N_g=20$
Whole15(8-22)39(29-48)8(3-13)32(23-41)
$\\mu_{V}$53(43-63)71(62-80)33(24-42)56(46-66)
$\\mu_{Cl}$41(31-51)86(79-93)29(20-38)69(60-78)
$\\mu_{k_a}$61(51-70)68(59-73)64(55-73)81(73-89)
$N_g=100$
Whole25(17-33)59(49-69)28(19-37)55(45-65)
$\\mu_{V}$54(44-64)80(72-89)52(42-62)81(73-89)
$\\mu_{Cl}$55(45-65)78(70-86)54(44-64)70(61-80)
$\\mu_{k_a}$77(69-85)75(66-83)77(69-85)87(80-93)
"} {"image_path": "images/6760686b12483ac3ca64a57387742dee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Type of nanofluidsABC$d_p$ (nm)T(K)$\\phi(\\%)$% Max. deviation
$Al_2O_3$0.08711310.07782.266353243-2731-6±6.27
3.224789.40463-1.33429273-363
0.08394121.56552.2549120243-2731-4±6.65
2.2204317.1297-0.89042273-363
CuO0.05685323.73522.6149429243-2731-5±6.71
1.722518.7338-0.60339273-363
$SiO_2$0.118556.797041.9665130243-2731-5±6.46
3.117476.11298-1.2898273-363
$TiO_2$0.10130430.61882.0032515243-2731 and 1.5±3.48
1.9053727.4305-0.87336273-363
ZnO0.10522210.28972.0665977243-2731-6±6.26
2.767549.29369-1.1526273-363
0.09257913.3362.1636550243-2731-5±5.27
2.7855511.2954-1.17814273-363
"} {"image_path": "images/0f9268a11c651c18dd4fbec66bec8f02.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编 号OPCHSCHPCSFRHPCPFRHPC
内蒙古卤水 抗压1.110.79 0.85 1.100.95
抗折1.091.17 1.330.861.05
西藏卤水抗压0.940.800.740.990.78
抗折0.871.281.230.881.20
"} {"image_path": "images/4e79a934392769e0a379750e99ca017a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
系统规模型号最大 I/O 点数程序容量数据存储容量指令数/条处理速度/$\\mu s$
大型 PLCCV2000204862K24K170$0.125 \\sim 0.375$
C2000H204830.8K6.5K174$ 0.4\\sim2.4 $
CV1000102462K24K170$0.125 \\sim 0.375$
C1000H102430.8K4K174$ 0.4\\sim2.4 $
CVM1102430K24K170$0.125 \\sim 0.375$
CV50051230K8K170$ 0.15\\sim 0.45 $
C5005126.6K0.5K713~83
中型 PLCC200HX/HG/HE118431.2K6K2450.1
C200 HS48015.2K6K239$ 0.375\\sim 1.125 $
C200H4806.6K2K173$0.75 \\sim 2.25$
小型 PLCCQM1128$ 3.2\\sim 7.2K $1~6K118$0.5 \\sim 1.5$
CPM1-30CDR-A502K1K134$ 0.72\\sim 16.3 $
CPM1-20CDR-A40
CPM1-10CDR-A30
C60H240287810001300.75~2.25
C40H160
C28H148
C20H140
C60P148119464374~95
C40P128
C28P148
C20P140
C201401194-274~80
微型 PLCSP2020250-38$ \\begin{array}{c}0.2 \\sim 0.72\\\\ \\end{array} $
SP1616
SP101010034$ 0.2\\sim0.72 $
"} {"image_path": "images/42be94b2e6b72a39557c0d6b3078f98a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Voltage/V(vs. Ag-AgCl)Detection limitof NADH/moli$\\dagger$/nARSD$\\dagger\\dagger$,%Blank current/nA
+0.41×$10^{-10}$0.552.010
+0.85×$10^{-11}$0.583.620
+1.25×$10^{-11}$0.704.125
+1.61×$10^{-11}$0.644.950
$\\dagger$ Anodic peak current;$\\dagger\\dagger$ Relative standard deviation, n=5
"} {"image_path": "images/0b7abec09c561a40c5c4b76859ebf374.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Materialparameters
RDX$$ \\rho /\\left(\\mathrm{g} \\cdot \\mathrm{cm}^{-3}\\right) $$1.70$ \\begin{gathered} D /\\left(\\mathrm{km} \\cdot \\mathrm{s}^{-1}\\right) \\\\8.425\\end{gathered} $$ \\begin{array}{c}p_{\\mathrm{cJ}}/\\mathrm{GPa}\\\\29.66\\end{array} $$ \\begin{array}{l}A/\\mathrm{GPa}\\\\854.5\\end{array} $B/GPa20.49$ \\begin{gathered} R_{1} \\\\4.60 \\end{gathered} $$ \\begin{gathered} R_{2} \\\\1.35 \\end{gathered} $$\\omega$0.25$ \\begin{array}{l}\\text { Eo } / \\mathrm{GPa} \\\\18.5\\end{array} $$V_o $1.0
Copper$$ \\rho /\\left(\\mathrm{g} \\cdot \\mathrm{cm}^{-3}\\right) $$8.96G/GPa $\\sigma_{0}/\\mathrm{GPa}$ $\\beta$nB A$\\sigma_{m} / \\mathrm{GPa}$
47.70.12360.342.8363.50.64
$ \\begin{gathered} C /\\left(\\mathrm{km} \\cdot \\mathrm{s}^{-1}\\right) \\\\3.94\\end{gathered} $$S_1$$S_2$$S_3$$\\gamma $a$E_0$$V_0$
1.49002.020.4700.0
"} {"image_path": "images/f261713cd7e8f5d472a2a489c174f889.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 1. Ranges of Independent Variables Studied
Temperature, °C.n-ButaneIsobutane2-Butene1-ButeneIsobutylene
400-560400-560350380350-560
Oxygen-hydrocarbon
molar ratio0.50, 0.250.500.250.250.25
Pressure, p.s.i.g.0, 50050, 10050, 10050, 100
OxidantsOxygen,airOxygenAirAirAir
Particulate solidsFused alumina (35- to 40- mesh)
Fused alumina (80- to100- mesh)
Solids rates, pounds per
gram mole of oxygen0-280-270-370-200-34
"} {"image_path": "images/859cab35db1427766df2f4da66b0e125.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
α断 横 梁〔130〕連 櫎 梁 [130]边 跨悬臂梁
在跨度中央有集中载荷均布载荷在跨度中央有集中載荷均布载荷在悬臂端的截面中心有集中載荷
上弦下弦上弦下弦上弦下弦上弦下弦
0.11.735.001.573.811.697.841.505.803.06
0.41.775.031.603.85
1.01.855.111.673.903.44
42.215.471.984.232.208.351.946.254.26
82.635.912.354.592.688.822.316.624.96
163.376.652.995.243.549.703.067.385.90
244.037.313.555.794.3010.003.688.006.63
324.597.924.046.255.0011.124.258.557.27
485.608.884.907.136.2012.355.279.608.15
648.529.805.657.927.3013.406.1610.488.90
807.3110.596.308.58
968.0511.296.939.219.1615.307.7012.00
1289.4012.678.0510.2910.8016.909.0313.30
16010.5913.839.0411.3012.2518.4010.2014.50
24013.2116.3611.2113.4815.3522.8012.8017.05
32015.3118.5513.0415.2918.0024.2014.9519.25
40017.2420.4814.5716.8020.4526.5516.90 21.1617.75
"} {"image_path": "images/081d01e08dbd3260746375292c4b9833.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基本概况国 家日本具体位置北九州西北部响滩区
规 模$20km^2$人口/住户-
启动时间1997年完成时间2010年
设计单位-开发单位政府和企业共同开发
投 资投资额约656亿日元资金来源政府投资、市政府投资和民间投资
功 能混合型生态工业园
建设理念资源循环和循环经济
建设目标零排放,零污染
项目采用的主要措施土地利用在大型的垃圾填埋场上建立生态城
生态修复废弃物零排放,促进生态修复
景观环境美化公共环境,屋顶绿化,形成人工景观
能源结构废弃物循环过程中产生的热能发电,为生态城提供所需的电能和热能
水资源利用工业废水循环利用
废弃物处理废弃物循环利用
绿色交通-
绿色建筑-
经济发展发展循环经济
开发管理政府引导,专业研发机构与企业结合,市民参与
市民参与参观、宣传
项目特点1产学研相结合,突出循环经济理念、实现工业城市转型
2注重废弃场地和废弃物的再利用
"} {"image_path": "images/32d38c2932a9cfb534722c408d4b22a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesPsychosocial problems
LevelChange
StandardizedcoefficientUnstandardizedcoefficientSECRStandardizedcoefficientUnstandardizedcoefficientSECR
IdentityconsolodationLevel-.55***-.14.02-.83.11.02.011.62
Change.17*.04.022.14-.28***-.05.01-3.47
Identity synthesisLevel.01.00.12.25.00.00.01.00
Change.01.00.01.25-.03-.01.01-.57
Identity confusionLevel.56***.12.018.60-.22***-.04.01-3.79
Change-.28***-.06.01-4.02.46***.08.016.63
"} {"image_path": "images/14c0fcf591135d9acff9a3f3438c90c0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Appliedstress(MPa)CodeN=1 N=2N=3$\\Delta T_r,$(K)$v_r (\\%\\ K^{-1})$Storedenergy($kJ·m^{-3}$)
$R_f$(%)$R_r$(%)$R_f$(%)$R_r$(%)$R_f$(%)$R_r$(%)
0.15X-PBS_178.958.983.9100.080.399.0243.60.17
0.15X-PBS_299.277.999.391.199.291.9108.72.23
0.15X-PBS_398.774.999.287.899.189.4165.33.81
0.25X-PBS_298.670.498.796.798.796.9108.811.7
"} {"image_path": "images/06dff04524f4c38bc8f4ff05cb5fb8a1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Uncertainty sourcesUncertaintytypeEstimate(%) ProbabilitydistributionDivisor Standarduncertainty (%)
Spectrum analyzer
Amplitude accuracyB5.92Rectangular2.002.96
$ \\text{ Resolution bandwidth}(\\mathrm{@} 200\\mathrm{kHz}) $B0.20Normal2.000.10
Device-under-test
Mismatch (analyzer and antenna)B3.64U-shape1.412.58
Antenna calibration factorsB5.95Normal2.002.98
Cable correction factorB1.45Rectangular1.730.84
Measurement repeatabilityA0.10 Normal2.000.05
Measurement uncertainty
Combined uncertainty (%)Coverage factor 9.51
Expanded uncertainty (95%)219.02
"} {"image_path": "images/f44e7218fb35d52396d6c4d9055d8992.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
墓 号地 点墓 型方向墓底长宽深随 葬 物备 注
65韶湘M 77红崙上长形土坑竖穴315°$ 308\\times 145-50 $ #$ _7$、壶$_2$(Ⅰ)西汉晚期
65韶湘M 78红崙上方形土坑竖穴135°$378 \\times 204-118$铜镜(Ⅰ)、铜刀、#$_8$ 、鼎(Ⅰ)、 熏炉(?) 、 壶$_2$(Ⅰ) 、 方壶$_2$( Ⅵ )、锭$_3$、锺$_2$、石壁、石砚。西汉晚期
65韶湘M 79红崙上方形土坑竖穴66°$244 \\times 144-130$鼎(Ⅰ),盒、壶( Ⅱ )。西汉早期
65韶湘M 80红崙上方形上坑竖穴250°$270 \\times 206-150$鼎$_4$( Ⅱ )、盒 $ _\\#$、壶 $ _4$( Ⅱ )、熏炉(Ⅰ)、半两钱 $ _{2~1}$(Ⅰ)、漆器残痕迹。西汉早期
65韶湘M 81红崙上方形土坑竖穴250°$266 \\times 140-140$鼎$ _{2}$( Ⅱ )、盒$_2$、壶$_2$( ⅡI )。西汉早期
65韶湘M 82红崙上方形土坑竖穴66°$278 \\times 150-140$鼎$_{2}$( Ⅱ ) 、盒 ${ }_{2}$ 、壶 ${ }_{2}$( Ⅰ ) 、铜镜残片( Ⅳ )、勺 。西汉早期
65韶湘M 83红崙上方形土坑竖穴144°$284 \\times 190-179$鼎$_2$ (Ⅰ)、盒$_2$、壶 2 (Ⅰ)。西汉早期
65韶湘M 84红崙上方形土坑竖穴 ?$280 \\times 180-320$鼎$_4$(Ⅰ)、盒$_4$、壶$_4$(Ⅱ)、残漆羽觴。西汉早期
65韶湘M 85红崙上方形土坑竖穴 ?$480 \\times 300-200$鼎$_9$(Ⅰ)、 盒$_{2~2}$ 、 壶$_{1~6}( Ⅳ ) 、#、盘$_{1~2}$ 、铜镜( Ⅳ)。西汉早期
65韶湘M 86红崙上方形土坑竖穴 72°$254 \\times 184-170 $鼎$_4$(Ⅰ)、盒$_4$ 、壶$_4$(Ⅱ)、铜带勾、玉印、玉璧。西汉早期
65韶湘M 87红崙上 带 墓 道方形土坑竖穴147°$466 \\times 326-80 $尊${ }_{2}(\\mathrm{\\ I\\ })$ 、#刀、石壁、石砚、缸、鼎${ }_{2}$( ? )、方壶 ${ }_{2}(\\mathrm{}VI)$ 、#$_6$、鐎壶$_2$、灶( II )、锺、五铢钱( II )阶梯式墓道。西汉晚期
65韶湘M 88红崙上 帶 墓 道方形土坑竖穴138°$450 \\times 280-130$壶$_4$( ? )、方壶$_4$( VI )、鼎(?) 、#、尊$_2$( II )、铜剑首、五铢铜钱${ }_{58}(II)$ 、铜弩机,铁刀、石壁、铜盆碎片。斜坡式墓道,距底54厘米。西汉晚期
65韶湘M 89红崙上 带 墓 道方形上坑竖穴135°$ 400 \\times 190-110 $#$_{8}$、熏炉( II )、五铢铜钱$_{2}(I)$、五铢铜钱$_{7~1}(II)$,铁錐壶、石壁。 斜坡式墓道,距底40厘米。西汉晚期
65韶湘M 90红崙上 带 墓 道方形土坑竖穴166°$ 426\\times 220-110 $鼎$_2$( I )、壶( V)、#$_{1~0}$、灶( I ) 、桶、灯、盆、五铢铜钱$_{1~0}$( II )、銅镜( II )、石壁、甑、器盖碎片。斜坡式墓道,距底26厘米,坡度45°。西汉晚期
"} {"image_path": "images/73fed6fbb9d7da37ffd86544336745b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CharacteristicFull sample (N = 300)Counterurban sample (N = 151)
Mean (SD)
Gender (male = 1) 0.50 (0.50)0.52 (0.50)
Age (18-34)0.32 (0.47) 0.29 (0.46)
Age (35-54)0.35 (0.48)0.42 (0.50)
Age (55+)0.33 (0.47)0.28 (0.45)
Children under 18 (yes = 1)0.27 (0.44)0.28 (0.50)
Employment (full-time, > 30 h)0.36 (0.48)0.40 (0.49)
Employment (part-time, 15-30 h)0.03 (0.17)0.03 (0.18)
Employment (part-time, < 15 h)0.017 (0.13)0.02 (0.14)
Not working (includes unemployed, retirees, housekeepers)0.59 (0.49)0.55 (0.50)
Unemployed0.16 (0.37)0.22 (0.41)
Education (no education)0.007 (0.08)0
Education (primary school)0.18 (0.39)0.16 (0.37)
Education (high school)0.46 (0.50)0.48 (0.50)
Education (undergraduate degree)0.15 (0.36)0.16 (0.37)
Education (postgraduate degree)0.20 (0.40)0.21 (0.40)
Net monthly household income2.62 (1.30),2.65 (1.28),
corresponds to €1000-1500corresponds to €1000-1500
Housing type: Flatn.a.0.82 (0.38)
Housing type: House with landn.a.0.03 (0.18)
Housing type: House without landn.a.0.15 (0.35)
Have you ever lived in a rural area? (yes = 1)n.a.0.55 (0.50)
Do you own a second house in a rural area?n.a.0.48 (0.50)
"} {"image_path": "images/db262b0a66fddf3f87254bae725b0ff2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RH(%)PDMSthickness$(\\mu m)$calculatedexperimentally observedexperimental/calculated
evaporation rate -$R_{2}\\ (m^3 \\ m^{-2}\\ s^{-1})$permeation rate through$PDMS-R_{3}\\ (m^3 \\ m^{-2}\\ s^{-1})$evaporation rate -$R_{2}\\ (m^3 \\ m^{-2}\\ s^{-1})$permeation rate through$PDMS-R_{3}\\ (m^3 \\ m^{-2}\\ s^{-1})$evaporationratepermeation ratethrough PDMS
90500$2.635\\times10^{-9}$$1.36\\times10^{-10}$$2.87\\times10^{-10}$$9.82\\times10^{-10}$0.117.22
901500$4.53\\times10^{-11}$$3.27\\times10^{-10}$7.22
45500$1.449\\times10^{-8}$$6.66\\times10^{-10}$$1.58\\times10^{-9}$$3.28\\times10^{-9}$0.114.93
451500$2.22\\times10^{-10}$$1.09\\times10^{-9}$4.91
"} {"image_path": "images/00cef4e660f8892d771d04d58dcb844d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
#$2^0$$2,5^0$30$3,5^0$$4^0$$4,5^0$$5^0$$6^0$
#1,01381,01630,02081,02491,02801,03161,03521,0426
# $NH_3$1,161,30
1,421,43
1,501,631,63
1,771,771,76
1,981,901,87
2,182,102,00
2,652,382,24
2,452,402,55
2,722,722,79
2,902,85
3,403,06
3,40
3,533,673,74
"} {"image_path": "images/650d2a35a21de75b383367797fd628cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BeaufortPEI classification
GroupSpeed$\\left(m~s^{-1}\\right)$International descriptionSpeed$\\left(m~s^{-1}\\right)$Description
00.3Calm<6Light breeze
10.3-1.5Light air
21.5-3.3Light breeze
33.3-5.5Gentle breeze
45.5-8Moderate breeze6-8Moderate breeze
58-11Fresh breeze8-10Fresh breeze
611-14Strong breeze10-12Strong breeze
12-14Very strong breeze
714-17Moderate gale14-16Gale
817-20Fresh gale>16Fresh gale
"} {"image_path": "images/91a76960108de0faa0e780e887a4505c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variable EntireSampleControlGroupTreatmentGroupDifferencep-Value
Student level
Age (years)10.50710.54710.487-0.05970.4272
(1.104)(1.109)(1.102)
Male, $1 = $ yes0.4850.4960.48-0.01650.4097
(0.5)(0.5)(0.5)
Refractive error, D-2.232-2.277-2.2110.06590.2628
(1.245)(1.271)(1.232)
Wear eyeglasses at baseline, $1 = $ yes0.1540.1450.1590.01340.4808
(0.361)(0.353)(0.365)
Math score0.2390.2440.236-0.00790.9003
(0.989)(1.006)(0.982)
MHT score-0.034-0.037-0.0330.00410.4025
(1.042)(1.048)(1.04)
Learning anxiety score-0.021-0.052-0.0060.04610.948
(1.014)(0.999)(1.022)
Physical anxiety score-0.045-0.048-0.0430.00470.9365
(0.999)(1.028)(0.985)
Family level
One or both parents with $ > 12$ yearseducation, $1 = $ yes0.2060.2030.2070.00390.8466
(0.404)(0.403)(0.405)
Family asset value, thousand RMB32.0630.76332.6791.91610.5567
(35.394)(34.215)(35.936)
Number of observations285192919222851
"} {"image_path": "images/af676f8fe9111e3911c718ec6aec10e3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Item^3$31-min testing time18-min testing time
LinearCensoredSurvivalThresholdLinearCensoredSurvivalThreshold
$\\sigma_A^2$5.0 10.00.150.161.1 4.60.240.16
$\\sigma_H^2$3.47.30.220.300.64.00.360.33
$\\sigma_E^2$12.926.01.001.003.89.51.001.00
$h^2$0.230.230.110.120.200.250.110.12
$Between-method^4$
Linear0.820.730.240.710.540.27
Censored0.880.640.890.77
Survival0.710.89
$Within-method^4$$(31 \\ min\\ vs.\\ 18\\ min)$0.600.880.840.52
"} {"image_path": "images/05e07470c236d304195f366beabaaf2e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级指标权重二级指标权重三级指标权重
应用过程0.279 9意识观念0.250 0信息化意识0.500 0
电子书包教学应用兴趣与态度0.500 0
应用水平0.750 0电子书包教学应用课时覆盖率0.072 9
师生使用电子书包情况0.044 8
电子书包支持的教学实施情况 ( 如情境教学、互动教学、个性化教学、翻转课堂等 )0.280 3
电子书包支持的学生学习方式转变情况 ( 自主学习、探究学习、协作学习、个性化学习等 )0.280 3
电子书包支持的师生互动情况0.168 8
电子书包支持的多元评价实施情况0.153 0
创新发展0.512 9学生发展0.384 5信息素养0.089 0
个性化学习能力0.239 1
协作学习能力0.239 1
问题解决能力0.432 8
教师发展0.384 5信息素养0.113 7
信息化教学设计能力0.307 8
信息化教学组织能力0.324 5
信息化教学评价能力0.172 8
信息化教学研究能力0.081 1
学校发展0.143 3学校教学与科研成果0.800 0
学校教学示范影响0.200 0
社会影响0.087 8电子书包支持的家校互联互通0.750 0
电子书包支持的区域教育均衡发展0.250 0
"} {"image_path": "images/fc28078325ffeb57c0d0410cd31d760a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
排水管网及设施建设年代
管径(毫米)管长(米)排水体制检查(窨)井雨水井(口)
圆涵直径 300280雨污合流231986
纹管300×30061雨污合流1252010.06
圆涵直径 300207雨污合流6122009
圆涵直径 300192雨污合流8162009
纹管400220雨污合流12142010.06
圆涵直径 400182雨污合流561980
圆涵直径 300~600273雨污合流7142007
纹管300379雨污合流28432010.10
纹管40045雨污合流42010.12
纹管30073雨污合流462010.06
圆涵直径 300365雨污合流14341988
圆涵直径 300105雨污合流11111995
圆涵直径 300225雨污合流9111997
300×300100雨污合流1995
圆涵直径 5001642雨污合流49742005
圆涵直径 500154雨污合流462004
直径 400100雨污合流442010
9960330815300
"} {"image_path": "images/b19240709c920188aa43e95d9ee1babb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分区名称降 水 量径 流 量
多年平均20%50%75%95%多年平均20%50%75%95%
毫米亿方毫米亿方毫米亿方毫米亿方毫米亿方毫米亿方毫米亿方毫米亿方毫米亿方毫米亿方
大沽河区707.422.51877.227.91686.221.84551.817.56396.112.60190.96.08301.69.60143.24.5666.82.1315.30.49
南胶莱河区721.611.47894.814.22700.011.13566.59.00406.36.46156.42.49 254.94.05100.11.5936.00.574.70.08
北胶莱河区639.012.23773.214.80626.211.99511.29.78389.87.46105.02.01173.23.3254.61.0514.70.281.10.02
洋河区728.235.5913.94.39703.43.38560.02.69391.01.88225.31.08331.21.59196.00.94117.20.5649.60.24
胶南区(王戈庄河区)784.29.17960.611.24763.88.93626.67.33459.55.37247.32.89380.94.46197.82.31103.91.2229.70.35
白马河区851.54.281081.45.44817.44.11647.13.25442.82.23352.01.77510.42.57309.81.56193.60.978.450.43
崂山区(白沙河区)856.63.251096.44.16822.33.12642.52.44436.91.66473.61.80682.02.59421.51.60265.21.01123.10.47
墨水河区736.85.71934.77.16711.75.51566.64.39395.73.07267.32.07406.23.1523.01.57104.20.8126.10.20
周疃河区716.34.74909.76.02687.64.55544.43.60372.52.47183.91.22296.01.96126.90.8453.30.359.20.06
全 市722.176.93884.6994.25703.374.93577.061.47423.245.09200.421.35 312.633.30154.316.4478.18.3320.02.14
"} {"image_path": "images/4b7d77bcb29a68efa82ff8b9bb7942dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
X$\\sigma$Structural formula
SiO239.540.35.975Si
$Al_2O_3$33.080.50.025 $\\mathrm{Al}^{\\mathrm{VI}}$
5.868$\\mathrm{Al}^{\\mathrm{VI}}$
$Fe_2O_3$0.610.30.069$Fe^3$
MnO0.070.080.009Mn
MgO0.320.120.072Mg
CaO24.840.094.021Ca
$\\mathrm{Na}_2 \\mathrm{O}$0.030.040.009Na
$\\mathrm{K}_2 \\mathrm{O}$-
Total98.43
"} {"image_path": "images/5229058fc9e29323f9a48b8552da1952.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ThO_2$ sample #
050604050604-2050818
Bias voltage (V)64065
Other instruments
Crystal monitorthickness (nm)50.4808.4N/A
XRD thickness (nm)15N/AN/A
AFM RMS roughness (nm)N/A5.564.91
(Two measurementsper sample)5.734.81
Ellipsometer - 2nd Fit b - on si
Thickness (nm)$24\\ \\pm\\ 0.0154$$357\\ \\pm\\ 0.149$$578\\ \\pm\\ 0.00491$
MSE2.474.70211.22
Sellmeier model
Pole 1$12.742\\ \\pm\\ 0.000683$$10.211\\ \\pm\\ 0.0142$$14.789\\ \\pm\\ 0.0405$
Mag 1$425.7\\ \\pm\\ 0.275$$185.16\\ \\pm\\ 1.55$$259.5\\ \\pm\\ 0.357$
Pole 2$6.426\\ \\pm\\ 0.00197$$6.5783\\ \\pm\\ 0.0197$$20.518\\ \\pm\\ 0.373$
Mag 2$0.55999\\ \\pm\\ 0.0432$$4.1864\\ \\pm\\ 0.855$$196.19\\ \\pm\\ 0.27$
el Offset$0\\ \\pm\\ 0.0034$$1.2051\\ \\pm\\ 0.00812$$1.1754\\ \\pm\\ 0.0123$
Egap000
Tauc-Lorentz oscillators(2nd Oscillator: $ThO_2$ 050818)
A$4.5571\\ \\pm\\ 117$$1.7256\\ \\pm\\ 0.343$$4.328\\ \\pm\\ 0.585$$-14.755\\ \\pm\\ 13.9$
En$7.8795\\ \\pm\\ 11$$6.9289\\ \\pm\\ 0.0519$6.854976.5032
C$0.82575\\ \\pm\\ 16.6$$0.85549\\ \\pm\\ 0.156$$0.21944\\ \\pm\\ 0.0483$
Eg$0.0001\\ \\pm\\ 5.8$$1.3554\\ \\pm\\ 0.104$$0.0001\\ \\pm\\ 0.434$$5.776\\ \\pm\\ 0.307$
n at 2.5 eV1.83991.84041.8867
k at 2.5 eV0.00645210.00083290.0010975
"} {"image_path": "images/3f69cb8a5d312968217e8713cfe9fcf1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reported voteValidated vote
FacebookTwitterFacebookTwitter
Age0.0424**0.0465**0.0287**0.0322**
(0.00367)(0.00352)(0.00453)(0.00452)
Female0.0003740.009270.02220.0198
(0.106)(0.106)(0.139)(0.141)
GCSE D-G0.755**0.718**$0.668^{\\dagger}$$0.650^{\\dagger}$
(0.263)(0.257)(0.346)(0.349)
GCSE A*—C0.485**0.453**0.3660.328
(0.166)(0.165)(0.222)(0.221)
A-level0.886**0.852**0.901**0.873**
(0.147)(0.146)(0.201)(0.200)
Undergraduate1.231**1.198**1.085**1.054**
(0.171)(0.170)(0.233)(0.232)
Postgraduate1.339**1.281**0.997**0.939**
(0.241)(0.244)(0.281)(0.281)
Uses social network—0.09240.358*—0.2210.0953
(0.120)(0.155)(0.152)(0.206)
Constant—1.554**—1.841**—0.754*—1.039**
(0.253)(0.231)(0.332)(0.324)
N2848284616331631
"} {"image_path": "images/9def7db5fe215fdc5cf55f068573d294.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reaction ConditionsResults, Solvent
$F_2SO_2$$C_2F_4Cl_2$
Temperature, °C.-80-80
Time, hr.5656
$SO_3$ used, mmoles1152
$O_2F_2$ used, mmoles1752
Results, mmoles
$F_2$ released1.523.0
$O_2$ released13.048.7
$F_2S_2O_6$ formed2.65.5
$FSO_2OF$ formed2.85.6
"} {"image_path": "images/8f5c10fbfb52c123063848305ee867d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Weight (t)VDProbability
WIM dataNumber of vehicles (in simulation)
501001502005001,000
$0LP0.440.50.410.4260.4250.4360.442
EP0.5090.60.550.5460.570.5560.56
$20LP0.2090.20.240.2260.280.230.193
EP0.0940.10.180.1660.1650.1320.168
$40LP0.3400.080.150.1730.160.160.191
EP0.390.160.140.140.130.160.152
$55LP0.0060.040.040.080.0650.060.05
EP0.0020.040.040.0460.0450.0580.029
60LP0.0020.180.160.090.070.1080.12
EP0.0010.10.090.10.090.090.029
"} {"image_path": "images/e95b860d5a0cabdc0afc41b653272304.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
collidergasphenomenological rate $constants^a$collision parameters
$10^{11}$k (600 nm)$10^{11}$k (337 nm)$\\sigma,\\mathring{A}$e/k, K$10^{10} ~Z_LJ$
azulene25.2 ± 1.013.6 ± 0.37.6859012.44
He0.663 ± 0.0740.69 ± 0.092.55110.2210.87
Ne0.794 ± 0.0560.72 ± 0.122.82032.86.37
Ar1.29 ± 0.081.07 ± 0.033.54293.36.49
Kr1.25 ± 0.090.86 ± 0.043.655178.95.80
Xe0.974 ± 0.0630.923 ± 0.0604.047231.05.70
$H_2$4.71 ± 0.783.14 ± 0.164.82759.729.40
$D_2$2.75 ± 0.311.74 ± 0.094.82759.720.95
$N_2$1.48 ± 0.111.69 ± 0.303.79871.47.47
$O_2$1.56 ± 0.101.68 ± 0.103.467106.77.16
CO1.92 ± 0.092.20 ± 0.103.69091.77.65
$CO_2$3.54 ± 0.573.10 ± 0.103.941195.27.72
$H_2O$5.60 ± 0.596.92 ± 0.852.641809.112.34
$NH_3$5.09 ± 0.467.59 ± 0.522.90558.312.02
$CH_4$3.10 ± 0.133.70 ± 0.363.758148.610.75
$C_4H_{10}$11.7 ± 1.29.41 ± 0.284.687531.49.94
$SF_6$3.90 ± 0.303.14 ± 0.105.128222.16.67
"} {"image_path": "images/47d226a850b566a36f402d3603033e7f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
131 触控教学一体机级图像模式,色彩空间、色温均可定义。3.无线私有协议蓝牙主动互联,周边设备一键连接搭配终端物联,设备连接状态、便捷操作:NFC读卡模式,匹配NFC,账号即可全部登陆。4.支持五指手势操作,五指画面、五指放大,并可自定义;前置全功能Type-c接口,一根线实现视频、音频、触控传输。5.高精度触控;环保无粉尘,支持板书在线保存。1台详见招标公告《附件一:参考图例》
32移动支架1.移动支架通过防倾斜实验,正负10度倾斜角度下不能翻倒。2.承挂≥100kg,壁挂高度可调:整体高度≥1597mm。3.托盘承重约25KG,模具设置U型置物槽,方便触摸笔、遥控器等物品放置。4.支撑立杆采用壁厚≥1.8mm方通冷轧钢材质,表面黑色喷涂。5.脚轮为万向轮,聚氨酯 (PU) 材质,均带脚刹,直径不小于∮75mm:脚轮中心距横向≥1115mm, 纵向≥627mm。1架详见招标公告《附件一:参考图例》
33视觉辅助设备听书机:1.内存≥4G: 支持MicroSD(TF)存储卡, 最大存储扩展≥32G; 2.屏幕:≥4.3寸LCD 显示屏。放大镜、视功能训练工具及材料。1套详见招标公告《附件一:参考图例》
34盲文写字板适用: 盲校学习用品, 盲人写字: 材质为塑料。规格: 27行30方。1架详见招标公告《附件一:参考图例》
35盲文笔尺寸: 塑料手柄部分长度38mm (±3%) ,直径22.5mm (±3%) ; 重量: 7.8克 (±3%) 。1套详见招标公告《附件一:参考图例》
36助写板低视力助写板$22.5\\times13.8cm $($\\pm3%$) 。1套详见招标公告《附件一:参考图例》
37语音计算器颜色分类:大屏语音计算器:类型:多功能型、办公便携型:屏幕材质:其他:屏幕最大显示位数: 12位数:适配电池类型: 5号碱性电池。1个详见招标公告《附件一:参考图例》
38图书柜全实木: 三个实木架组合; 分别尺寸为 (±3%) : 1、高84cm, 宽60cm; 2、高110cm, 宽60cm; 3、高155cm, 宽60cm。1套详见招标公告《附件一:参考图例》
39储物柜材料为实木,尺寸 (cm) 为220×30×115 (±3%) 。2套详见招标公告《附件一:参考图例》
40文件柜铁皮文件柜规格(cm):185×90×39 (±3%)。1个详见招标公告《附件一:参考图例》
学习辅导区
设备尺寸 (mm) 420×420×420 (±3%) :1.外观整洁、无划痕、磨损、凹陷、裂缝、变形、毛刺等缺陷, 表面涂层无气泡、龟裂、脱落现象; 采用倒角方形设计, 整机表面无金属材质, 直边加圆弧形、无棱角, 无划伤、磕碰隐患; 外壳采用塑料注塑模具加工;2.设备采用不低于2个喇叭单元;3.设备采用12V外置一体变压电源, Type
"} {"image_path": "images/165cebe102dea332742c64d9cb34b313.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
# check reachability of the Gateway
1pushConst0
2pingIP-addr of Entry Node
3retNE1
4pull1
# check reachability of nodes# behind the Gateway
6pingIP-addr of Node 1
7add
8pingIP-addr of Node 2
9add
10:
::
14pushConst0
15retNE2
"} {"image_path": "images/aed3656084a8f2e3c93af508ea0bb3e7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\text{adsorbent}^a$$K_{\\mathrm{d}, \\mathrm{PHEN}}$$\\quad(\\mathrm{L} / \\mathrm{kg})$ extractionrecovery (%)
A$9.56 \\times 10^{4}$85.0
$\\text{B}^b$$ 1.38\\times 10^{4} $113.5
Lewatite EP-63, cross-linkedpolystyrene$1.24 \\times 10^{4}$112.8
C$9.94 \\times 10^{3}$113.0
silica gel
grade $10180^{b}$ $ 2.02\\times 10^{3} $105.5
grade $7754^{b}$$ 1.7\\times 10^{3} $115.4
Carbotrap, graphitized carbonblack$ 1.79 \\times 10^{5} $7.9
Carboxen 569, carbon molecularsieve$1.34 \\times 10^{5}$<1
active carbon$3.88 \\times 10^{3}$<1
zeolite
Molsieve 13X4.82115.2
Molsieve 5A4.64117.8
$\\text{Al}_2\\text{O}_3$
D0.62119.0
fused0.50
"} {"image_path": "images/b927c35a658b63afcad9f252eb49382c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ExperimentCropP supply Crop phenology (days)
So-EmEm-FlFl-PMTotal
1WheatP01410451169
P1149950163
P21410050164
PeaP0159057162
P1158556156
P2158656157
S.E.M.0.340.500.310.59
Crop (C)$\\ast \\ast $$\\ast \\ast $$\\ast \\ast $$\\ast \\ast $
P level (P)n.s.$\\ast$$\\ast$$\\ast \\ast $
C $\\times $ Pn.s.n.s.n.s.n.s.
2WheatP0128851151
P1128447143
P2128547144
PeaP0147459147
P1147157142
P2147157142
S.E.M.0.270.430.310.18
C$\\ast \\ast $$\\ast \\ast $$\\ast \\ast $$\\ast \\ast $
Pn.s.$\\ast \\ast $$\\ast \\ast $$\\ast \\ast $
C $\\times $ Pn.s.n.s.n.s.n.s.
"} {"image_path": "images/1b244a2637780d1c6207d95b40db0605.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Attributes(i)ImportanceWeights(W)RestaurantEvaluation*(B)IdealRestaurant*(I)AbsoluteDeviation(|I-B|)WeightedDeviation(W|I-B|)
Food.5671.5
Service.2473.6
Atmosphere.2651.2
Price.1633.3
Index of Perceived Satisfaction1.6
"} {"image_path": "images/f9c44b66ccb68523d616cc139e9a40a1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Family of solutionswith $(H, h, \\mathbb{h}, \\Lambda)$ such that $\\operatorname{det}(L)=0$overlap to
$(H, H, H, h, h, \\mathfrak{h}, \\mathfrak{h})$$\\left( \\pm \\frac{1}{\\sqrt{8 \\alpha}}, \\mp \\frac{1}{\\sqrt{8 \\alpha}}, \\mp\\frac{1}{\\sqrt{8 \\alpha}}, \\frac{3}{16 \\alpha}\\right)$(H, H, H,-H,-H,-H, h)
$\\left( \\pm \\frac{1}{\\sqrt{24 \\alpha}}, \\mp \\frac{\\sqrt{3}}{\\sqrt{8 \\alpha}}, \\pm \\frac{1}{\\sqrt{24 \\alpha}}, \\frac{13}{48 \\alpha} \\right)$$\\left( \\pm \\frac{1}{\\sqrt{24 \\alpha}}, \\pm \\frac{1}{\\sqrt{24 \\alpha}}, \\mp \\frac{\\sqrt{3}}{\\sqrt{8 \\alpha}}, \\frac{13}{48 \\alpha} \\right)$$(H, H, H, H, h, \\mathrm{~h})$
$(H, H, H, H, h, h, h)$$\\left( \\pm \\frac{1}{\\sqrt{-40\\alpha }}, \\pm \\frac{7}{\\sqrt{-40 \\alpha}}, -\\frac{2409}{400 \\alpha} \\right)$$\\left( \\pm \\frac{1}{\\sqrt{8 \\alpha}}, \\mp \\frac{5}{\\sqrt{8 \\alpha}}, -\\frac{285}{16 \\alpha} \\right)$nothingnothing
$\\left( \\pm \\frac{1}{\\sqrt{24 \\alpha}}, \\mp \\frac{\\sqrt{3}}{\\sqrt{8 \\alpha}}, \\frac{13}{48 \\alpha} \\right)$(H,H,H,H,h,h,h)
$\\left( \\pm \\frac{1}{\\sqrt{-40 \\alpha}}, \\mp \\frac{1}{\\sqrt{-40 \\alpha}}, -\\frac{21}{80 \\alpha} \\right)$(H,H,H,H,H,H,h)
$\\left( \\pm \\frac{1}{\\sqrt{8 \\alpha}}, \\mp \\frac{1}{\\sqrt{8 \\alpha}}, \\frac{3}{16 \\alpha} \\right)$(H,H,H,-H,-H,-H,h)
$(H, H, H, H, H, h, h)$$\\left( \\pm \\frac{1}{\\sqrt{24 \\alpha}}, \\mp \\frac{\\sqrt{3}}{\\sqrt{8 \\alpha}}, \\frac{13}{48 \\alpha} \\right)$$ (H,H,H,H,h,h,\\mathfrak{h}) $
$\\left( \\pm \\frac{1}{\\sqrt{-40 \\alpha}}, \\pm \\frac{1}{\\sqrt{-40 \\alpha}}, -\\frac{21}{80 \\alpha} \\right)$(H,H,H,H,H,H,h)
$(H, H, H, H, H, H, H)$$\\left( \\pm \\frac{1}{\\sqrt{-40 \\alpha}}, -\\frac{21}{80 \\alpha} \\right)$(H,H,H,H,H,H,h)
"} {"image_path": "images/74a5684e85e3e92a8ce3dd32edf476b9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Random criticalityPure criticality
q$\\langle K\\rangle_{\\mathrm{av}}^*$$\\sigma^{*}$$\\sigma^{*} /\\langle K\\rangle_{\\mathrm{av}}^{*}$$y_1$$y_2$$\\alpha_1$$\\alpha_2$$K^*_p$$y_T$α$\\phi$
20.1360.0800.5880.939-0.037-1.193-1.1930.1310.939-1.193-0.128
30.1700.1470.8650.916-0.148-1.043-1.2750.1651.025-0.9270.049
40.2010.1960.9750.890-0.364-0.957-1.3700.1921.091-0.7500.167
50.2250.2180.9690.885-0.399-0.878-1.3910.2151.144-0.6230.251
60.2430.2340.9630.877-0.427-0.824-1.4220.2341.188-0.5260.316
70.2620.2480.9470.873-0.517-0.777-1.4410.2511.226-0.4470.369
"} {"image_path": "images/27d5077ce0299f54ba77b7923821f95a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SOLUBILITY OF STANNICIODIDE IN DICETYL
$G.~SnI_4/g.~C_{32}H_{66}$Mole fractiont,°C.
Solid0.8470.429139
Solid1.007.472141
Solid1.353.546143
Liquid1.753.609152
Liquid2.009.641157
Liquid2.510.690169
Liquid3.005.727175
Liquid4.072.783183
Liquid6.026.842190
Liquid12.33.916193.5
Liquid18.105.942189
"} {"image_path": "images/f16e8d5c31fd99ce62ebd63857879a55.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterDistributionMeanErrorFactor IErrorFactor II
$X_1$log-normal226
$X_2$log-normal326
$X_3$log-normal$1×10^{-3}$26
$X_4$log-normal$2×10^{-3}$26
$X_5$log-normal$4×10^{-3}$26
$X_6$log-normal$5×10^{-3}$26
$X_7$log-normal$3×10^{-3}$26
"} {"image_path": "images/5739a84e75fca7ae479a7cc12c6aff67.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
全部平均指數產品廠 / 核心廠指數零組件廠 / 配套廠指數
大蘇州地區
政府行為較規範0.450.480.43
投資優惠減免0.320.370.26
尋求本地內需市場0.310.280.33
勞工成本較低0.270.370.17
生活機能與環境品質0.27 0.350.19
大東莞地區
勞工成本較低0.580.640.52
尋求較便利的交通運輸區位0.380.520.23
工繳費較便宜0.370.360.38
本地配套廠較完整0.350.420.27
投資優惠減免0.330.420.23
"} {"image_path": "images/967cff9f1ed9c77da701d0a5f459bf58.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SubstratePrecursor ions $(m / z)$Product ions $(m/z)$
$ \\begin{array}{l}{\\left[\\mathrm{M}+\\mathrm{CH}_{3} \\mathrm{CO}\\right]^{+}} \\\\\\left(\\left[\\mathrm{M}+\\mathrm{CD}_{3} \\mathrm{CO}\\right]^{+}\\right)\\end{array} $ $[\\mathrm{M}+\\mathrm{H}]^{+}$$([\\mathrm{M}+\\mathrm{D}])^{+}$ $[\\mathrm{CH}_3\\mathrm{CO}]^{+}$$([\\mathrm{CD}_3+\\mathrm{CO}])^{+}$ $ \\begin{array}{r}{\\left[\\mathrm{M}+\\mathrm{CH}_{3} \\mathrm{CO}-\\mathrm{H}_{2} \\mathrm{O}\\right]^{+}} \\\\{\\left(\\left[\\mathrm{M}+\\mathrm{CD}_{3} \\mathrm{CO}-\\mathrm{H}_{2} \\mathrm{O}\\right]^{+}\\right)}\\end{array} $
11,2-Phenylenediamine151(154)109(110)43(46)$133(136)^a$
21,3-Phenylenediamine151(154)109(110)43(46)
31,4-Phenylenediamine151(154)109(110)43(46)
41,2-Aminophenol152(155)110(111)43(46)
51,3-Aminophenol152(155)110(111) 43(46)
61,4-Aminophenol152(155)110(111)43(46)
71,2-Nitroaniline181(184)139(140)43(46)
81,3-Nitroaniline181(184)139(140)43(46)
91,4-Nitroaniline181(184)139(140)43(46)
111,3-Chloroaniline170(173)128(129)43(46)
121,4-Chloroaniline170(173)128(129)43(46)
141,3-Toluidine150(153)108(109)43(46)
151,4-Toluidine150(153)108(109)43(46)
161,2-Dihydroxybenzene153(156)111(112)43(46)
171,3-Dihydroxybenzene153(156)111(112)43(46)
181,4-Dihydroxybenzene153(156)111(112)43(46)
191,2-Cresol151(154)109(110)43(46)
201,3-Cresol151(154)109(110)43(46)
211,4-Cresol151(154)109(110)43(46)
221,2-Nitrophenol182(185)140(141)43(46)
231,3-Nitrophenol182(185)140(141)43(46)
241,4-Nitrophenol182(185)140(141)43(46)
"} {"image_path": "images/3945dd3acd413f869150cc53a393a842.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Run——$ Specific ~activity,^a ~cpm/mmol$——t distribution, %
$~~~~1-$$\\mathrm{C}_{3} \\mathrm{H}_{7} \\mathrm{OH}^{b}$ $\\mathrm{CH}_{3} \\mathrm{CH}_{2}$-$~\\mathrm{COOH}^\\mathrm{c}$$~~CH_{3}$-$\\mathrm{COOH}^\\mathrm{c}$C-1C-2C-3
1122,00099047099.190.42 0.39
2446,0003,7701,690 99.150.470.38
3$14,100,000^{d}$ $148,000^{d}$ $68,900^d$98.950.560.49
"} {"image_path": "images/e71536f0173cebcdc0466370b7fb1464.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$LnF_{3}$TransitionWavelength$(\\mathring{A})$TimeConstant($\\mu s$)
$PrF_{3}$$P_{0}^{3}\\rightarrow H_{4}^{3}$500024
$NdF_{3}$$G_{5/2}^{4}\\rightarrow I_{9/2}^{4}$6000<0.9
$F_{3/2}^{4}\\rightarrow I_{9/2}^{4}$890037
$SmF_{3}$$G_{5/2}^{4}\\rightarrow H_{9/2}^{6}$6500230
$TbF_{3}$$D_{4}^{5}\\rightarrow F_{5}^{7}$5430220
$DyF_{3}$$F_{9/2}^{4}\\rightarrow H_{1\\ 3/2}^{6}$563045
$ErF_{3}$$\\mathrm{P}_{3/2}^{2}\\rightarrow \\mathrm{I}_{9/2}^{4}$521022
$TmF_{3}$$G_{4}^{1}\\rightarrow H_{6}^{3}$47502
"} {"image_path": "images/26d2cd8f1c416154902e2569f238d933.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NumAgentIDZoneID$g_i$$j_i$h($p_i$)s($p_i$)Remainingtime (min)
1503231101075
2101217000164
3159001157
........................
3096524010012
"} {"image_path": "images/776ec313769ebcde55250d282c3a28f0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\text{Variable}$$\\text{Range}$
$-\\alpha$-10+1$+\\alpha $
$\\text{A: Mass of Ligand}$$(g)$0.520.680.8411.16
$\\text{B: Volume of Solvent}$$\\text{(ml)}$2436486072
$\\text{C: Synthesis Time}$$\\text{(n)}$1012141618
$\\text{D: Synthesis Temperature}$(℃)100110120130140
"} {"image_path": "images/41cd029b56526dc627759d9f0511dbcd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
服務輸入Imports of services
年Year 月Month 運輸Transport 旅遊Travel 製造服務Manufacturingservices 保險及退休金服務Insurance andpension services金融服務Financialservices其他服務Otherservices合計Total
2022 153,999 43,000 90,712 12,680 60,951 133,809 495,151
2023 @ 140,513 177,673 85,271 12,899 63,796 138,223 618,375
2024 @ 162,079222,678 86,965 13,316 70,105 147,222 702,365
20241 - 3 @ 43,639 52,451 20,235 3,026 17,888 36,441173,680
4 - 6 @36,74453,81620,7253,70515,42633,627164,043
7 - 9 @39,56156,87323,4763,53717,29735,211175,955
10 - 12 @42,13559,53822,5293,04819,49441,943188,687
20251 - 3 @ 44,738 53,837 20,3713,22720,34539,433181,951
"} {"image_path": "images/29a2e9f4588f1be9106ddadb4b512526.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterValueUnit
General parameters
T65° C
A25$cm^2$
z$O_2$4-
$H_2$2-
$ν_w$$4.44~×~10^{-7}$$m^2~s^{-1}$
j1.5$A~cm^{-2}$
Diffusion coefficient calculation
$μ_w$$4.3~×~10^{-4}$Pa s
$φ_w$2.6-
$M_w$0.018$kg~mol^{-1}$
$v_g$$O_2$$2.56~×~10^{-5}$$m^3~g^{-1}~mol^{-1}$
$H_2$$1.43~×~10^{-5}$$m^3~g^{-1}~mol^{-1}$
Henry coefficient
$H_{298K}$$O_2$$1.2~×~10^{-5}$$mol~m^{-3}~Pa^{-1}$
$H_2$$7.8~×~10^{-6}$$mol~m^{-3}~Pa^{-1}$
$\\frac{ΔH}{R}$$O_2$1700K
$H_2$530K
Double layer thickness
$d_w$$3.166~×~10^{-10}$m
$ε_r^{perm}$20-
Model-specific parameters
$d_{b,0}$50μm
$l_e$7μm
$n_w$2-
"} {"image_path": "images/2470450c4726816b35c02a0d32ee9d8f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ContrastRatio (dB)
GA—optimalLinear
IndividuallySimultaneouslyHHHVVV
1Urban/bare soil24.6724.6218.8523.8917.83
2Ocean/bare soil12.468.4312.037.9610.44
3Tree/bare soil19.2318.8010.6118.968.71
4Veg B/bare soil13.6412.968.2313.1111.71
5 Veg A/bare soil15.0314.718.7014.784.67
6Water/bare soil4.612.781.763.153.88
7Urban/water23.0121.8417.1020.7513.95
8Ocean water10.905.6510.284.826.56
9Tree/water16.2516.028.8515.814.83
10Veg B/water12.6910.186.479.977.83
11Veg A/water12.3311.936.9411.640.78
12Urban/veg A13.659.9110.169.1113.17
13Ocean/veg A-6.97-6.273.34-6.825.77
14Tree/veg A4.824.091.914.184.04
15Veg B/veg A7.31-1.74-0.47-1.677.04
16Urban/veg B11.8911.6510.6210.786.12
17Ocean/veg B-8.11-4.533.80-5.15-1.27
18Tree/veg B6.105.842.385.84-3.01
19Urban/tree10.065.828.244.939.13
20Ocean/tree-11.30-10.371.42-11.001.73
21Urban/ocean16.6516.186.8215.937.70
"} {"image_path": "images/9bb3cd6427e5729d1700841284739bc7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Asset size1997199819992000200120022003200420052006
Less than $1 billion0000000000
(0)(0)(0)(0)(0)(0)(0)(0)(0)(0)
$1 to $10 billion0000000000
(7)(3)(4)(6)(6)(5)(6)(3)(3)(4)
$10 to $100 billion871091075700
(32)(31)(30)(27)(25)(27)(26)(23)(22)(26)
More than $100 billion5335677778
(6)(4)(3)(6)(7)(8)(7)(7)(7)(8)
Total13101314161412141519
(45)(38)(37)(39)(38)(40)(39)(33)(32)(38)
"} {"image_path": "images/0d16e2818880cf9399ceac380901ce3c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
6
46A Think positive - or negative?will / won't (predictions)opposite verbs'll, won't
48B I'll always love youwill / won't (other uses)verb + backword stress:two-syllable verbs
50C The meaning of dreamingreview of verb forms: present,past, and futuremodifiersthe letters ea
52Review and Check 5&6www.avasshop.ir
"} {"image_path": "images/cd0bb76e45db2dda5e8bcc704dc1a45d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Film93, 70% CdIntensity $\\operatorname{Sin}^2\\theta$Film 92, 75% Cd$\\operatorname{Sin}^2 \\theta$ Intensity$\\operatorname{Sin}^2\\theta$Average$\\operatorname{Sin}^2\\theta$(calcd.)Indexhkl
v . w .0 . 00510 . 00510 . 0063101
W. 01090 . 0109W. 0109. 0087200
W. 0182. 0182. 0173220
. 0322v . w .. 0322. 0335222
. 0364v . w .. 0364. 0347400
v . w .. 0420. 0420. 0433420
W.. 0606. 0606. 0595422
v . w .. 0640. 0640. 0648004
W. 0688. 0686m. 0687. 0694440
. 0826v . w .. 0826. 0821224
. 0889m. 0889. 0867260
W. 0978. 0992m. 0985. 0995404
W. 1101. 1082m. 1091. 1081424
W. 1262. 1265m. 1264. 1289462
W. 1376. 1382m. 1379. 1387800
. 1651W. 1651. 1636822
. 1770W. 1770. 1766752
. 1894v . w .. 1894. 1896842
W. 2047. 2042m. 2045. 2035804
v . w .. 2321. 2325W. 2323. 23301002
W. 2388. 2395W. 2392. 2382844
. 2463v . w .. 2463. 2460952
v . w .. 2492. 2492. 2492871
. 2550v . w .. 2550. 2585646
v . w .. 2607. 2607. 2592008
"} {"image_path": "images/a05e17ae0ae18d48e448a58f32fa029d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ЧАСТОТАДИСКРЕТИЗАЦИИKAHAJIbI$ДНИ$EMKOCTb 3y
15 MC10.11119 c
80.1140 c
90.1124 c
160.170 c
1000 MC0.765658 C
80.18207 c
90.17295 c
160.14104 c
60000 MC145.43931397 c
85.6491425 c
95436822 c
162.8245712 c
3600000 MC12727.5235875737 c
8340.929484467 c
930326208415 c
"} {"image_path": "images/a02b3cc67a186db52ef99f9f190d1046.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Area no.Pipe diameter(mm)Pipe materialTotal length(m)
DuctileuPVCAsbestos-cement
280735797-
100631955-5048
1503901108-
360--14883563
80--2075
"} {"image_path": "images/7a7a4c007732e4cc0bf9a714a32bf2f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
O III.N II.C I.
λ. Relativeintensity.λ. Relativeintensity.λ. Relativeintensity.
Calc.Obs.Calc.Obs.Calc.Obs.
$\\left.{ }^{1} \\mathrm{D}_{2}-{ }^{1} \\mathrm{S}_{0}\\right.$4363·21115754·8118732·091
${}^{3} P_{2}-{}^{1} S_{0}$ 2332·08$ 2 \\times 1 0 ^ { - 6 } $03071·63$ 3 \\times 1 0 ^ { - 7 } $04735·96$ 4\\times 10^{-9} $
${}^{3} P_{1}-{}^{1} S_{0}$ 2321·64$ 4\\times 10^{-2} $03063·72$ 6 \\times 1 0 ^ { - 3 } $04729·69$ 4 \\times 1 0 ^ { - 4 } $
${}^3 \\mathrm{P}_{0}-{}^1 \\mathrm{S}_{0} $2315·40003059·03004726·560
${}^3 \\mathrm{P}_{2}-{}^1 \\mathrm{D}_{2} $5006·84(N$_{1}$)326583·63210348·73
${}^3 \\mathrm{P}_{1}-{}^1 \\mathrm{D}_{2} $4958·91(N$_{2}$)116548·11110319·31
${}^3 \\mathrm{P}_{0}-{}^1 \\mathrm{D}_{2} $4931·93$7 \\times 10^{-4}$06528·2$ 7 \\times 1 0 ^ { - 4 } $010303·6$1 \\times 10^{-4}$
Mean life${ }^{1} \\mathrm{S}_{0}$ state$ 0 \\cdot 1 0 \\text { seconds } $$ 0 \\cdot 1 1 \\text { seconds } $$ 0 \\cdot 1 2 \\text { seconds } $
Mean life${ }^{1} \\mathrm{D}_{2}$ state26 seconds$ 3\\cdot 1\\text{ minutes} $58 seconds
"} {"image_path": "images/518cf86323ac3309c6f9f8b7a57944f6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DDYF=DDY(M-1)RESP46
X=A12*DXF+A11*XF+B12*DDYM+B11*DDYFRESP47
DX=A22*DXF+A21*XF+B22*DDYM+B21*DDYFRESP48
DDX=-2.*HW*DX-W2*XRESP49
ACC(M)=DDXRESP50
VEL(M)=DXRESP51
DIS(M)=XRESP52
SA=AMAX1(SA,ABS(DDX))RESP53
SV=AMAX1(SV,ABS(DX))RESP54
SD=AMAX1(SD,ABS(X))RESP55
110 CONTINUERESP56
RETURNRESP57
ENDRESP58
"} {"image_path": "images/1a9aab382cc47293a45c84d5eb936e45.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
001200220032004
7,619$87,250$86,520$94,075
2,456115,111113,637119,117
0,000$53,162$35,500$45,000
9,96790,62179,37187,022
9,561103,732106,786115,464
8,803152,623152,779161,227
1,191104,841113,964121,318
"} {"image_path": "images/9b5ca374e57822f3369a85fafb58816a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HyperedgesnodesEdge priority
$e_1$$n_1$$n_2$$n_3$$n_4$Low
(0.3,0.7)(0.5,0.5)(0.5,0.5)(0.7,0.3)(0.3,0.7)
$e_2$$n_2$$n_4$$n_5$$n_7$Low
(0.3,0.7)(0.5,0.5)(0.3,0.7)(0.5,0.5)(0.5,0.5)
$e_3$$n_5$$n_6$$n_7$$n_8$Medium
(0.5,0.5)(0.5,0.5)(0.5,0.5)(0.5,0.5)(0.5,0.5)
$e_4$$n_3$$n_4$$n_9$$n_{10}$Low
(0.3,0.7)(0.7,0.3)(0.3,0.7)(0.6,0.4)(0.6,0.4)
$e_5$$n_4$$n_7$$n_{10}$$n_{11}$Low
(0.3,0.7)(0.3,0.7)(0.5,0.5)(0.6,0.4)(0.5,0.5)
$e_6$$n_7$$n_8$$n_{11}$$n_{12}$Medium
(0.5,0.5)(0.5,0.5)(0.5,0.5)(0.5,0.5)(0.5,0.5)
$e_7$$n_9$$n_{10}$$n_{13}$$n_{14}$High
(0.6,0,4)(0.6,0,4)(0.6,0,4)(0.5,0.5)(0.5,0.5)
$e_8$$n_{10}$$n_{11}$$n_{14}$$n_{15}$High
(0.7,0.3)(0.6,0,4)(0.5,0.5)(0.5,0.5)(0.7,0.3)
$e_9$$n_{11}$$n_{12}$$n_{15}$$n_{16}$Low
(0.4,0,6)(0.5,0.5)(0.5,0.5)(0.7,0.3)(0.4,0.6)
"} {"image_path": "images/ac62445eecbf1c69341a3b5741e3132d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaterialRefs.$\\sigma_{\\mathrm{y}}\\ (\\mathrm{MPa})$$\\sigma_{\\mathrm{R}}\\ (\\mathrm{MPa})$$\\Delta \\sigma_{0}\\ (\\mathrm{MPa})$$\\Delta K_{\\mathrm{th}}\\ (\\mathrm{MPa} ~ \\sqrt{\\mathrm{m}})$R$a_0\\ Eq.\\ (6)$$(\\mu m)$$c_p\\ Eq.\\ (3)^a$$(\\mu m)$$c_N\\ Eq.\\ (4)$$(\\mu m)$
Annealed 0.45 carbon steel[26]3646325828.1-161216141
Annealed 0.36 carbon steel[26]/$565^b$4467.6-190265184
SAE 1045 steel[27]4667456069.0-17016191
2024-T351 Al alloy[27]3604662484.4-1100292271
SM41B steel[28-30]19442332612.4-1458323321
Mild steel $(0.15 \\% ~ \\mathrm{C})$[31,32]34044042012.8-1296310300
NiCr steel[32,33]83495783412.8-15210239
$2.25 \\mathrm{Cr}-1 \\mathrm{Mo}$ steel[34]38053044012.0-1237297211
304 stainless steel[28,32]22268572012.0-188187115
"} {"image_path": "images/94e86a87b822f6998b61cb7ce0c4a2dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Chloroform 90%/Heptane 10%$6~×~10^{-4}~cm^a$Chloroform 95%/Heptane 5%$12~×~10^{-4}~cm^a$
Film ThicknessT (℃)$k_0~×~10^{-1}$($mg/cm^2$ min)$D~×~10^{-10}$($cm^2/s$)$k_0~×~10^{-1}$($mg/cm^2$ min)$D~×~10^{-10}$($cm^2/s$)
110--2.643.48
1302.080.712.264.75
1501.141.292.142.13
1701.141.262.233.71
1901.722.022.703.06
210--2.933.79
2301.131.02--
Average1.441.262.483.48
"} {"image_path": "images/18b3a16336068f1f1a4d0c839752558b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IAFDengue CF AntigenControl
1 2234
TypeStrainHAWTHSNGCTRTH 36H 87H 241CAN
1HAW128128(128)(64)(64)(64)320
THS6464(64)(32)(32)(32)80
2NGC646425612812832640
TR646425625612864320
TH 36(128)6425625625664320
3H 87(256)(256)(256)(256)(256)256(256)0
4H 2416432646464642560
PHL CAN0000000256
"} {"image_path": "images/9ae344f919fd91cba8ae039984c23bc5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DrugCell Type$C_{r,AB }$$C_{r,BA }$$ P_{\\mathrm{app}, \\mathrm{AB}} $$ P_{\\mathrm{app,BA}}\\quad$ER
$\\mu\\text{M}$ $10^{-6}\\ \\text{cm/s}$
AmprenavirMDCK0.0541.5 2.7258.9
AmprenavirMDR10.00574.20.2970240
AtorvastatinMDCK0.00890.0370.450.621.4
AtorvastatinMDR10.00341.70.1729170
DigoxinMDCK0.00390.270.194.624
DigoxinMDR10.00160.590.0789.9130
LabetalolMDCK0.00510.0360.260.62.3
LabetalolMDR10.00361.60.1826150
LoperamideMDCK0.0260.91.31511
LoperamideMDR10.0053.10.2552210
MinoxidilMDCK0.0150.0470.740.791.1
MinoxidilMDR10.0210.171.12.82.6
PitavastatinMDCK0.0120.0240.620.40.65
PitavastatinMDR10.0142.30.73956
RepaglinideMDCK0.261.213211.6
RepaglinideMDR10.0124.10.669120
SimvastatinMDCK0.0610.443.17.42.4
SimvastatinMDR10.040.622.0105.2
VerapamilMDCK0.361.918331.8
VerapamilMDR10.034.91.58355
"} {"image_path": "images/90dcc536a6d4d501bb23056e5287230f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Stept(h)$\\begin{array}{l}x_b(t)\\\\(\\mathrm{mm})\\end{array}$$\\begin{aligned}&m(x_b(t))\\\\&(\\mu\\mathrm{m})\\end{aligned}$$\\begin{array}{l}x_a(t)\\\\(\\mathrm{mm})\\end{array}$
101034.65110.0347
20.043910.034734.72910.0694
30.087810.069434.83110.1042
40.131710.104234.90910.1391
50.175610.139134.99010.1741
etc.
"} {"image_path": "images/78e1d0d182a3a1605f78b61dc31cf28c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\sigma$qG*(q)
$\\gamma=0,5$$\\gamma=1,0$$\\gamma=2,0$$\\gamma=2,5$
0,010,010,4193840,3538540,3368050,335198
0.030,4193980,3538780,3368400,335237
0,050,4194260,3539270,3369120,335270
0,070,4194680,3540010,3370190,335430
0,090,4195240,3540980,3371620,335585
0,110,4195940,3542200,3373400,335778
0,130,4196770,3543670,337553·0,336009
0,20,20,4200800,3550700,3385710,337107
0,60,4256230,3645340,3515570,350787
1,00,4365080,3821650,3734680,373182
1,40,4523800,4061130,4007950,400710
1,80,4728030,4347140,4316370,431616
2,20,4974470,4668640,4651420,465141
2,60,5268280,4982040,4969840,496884
0,50,50,4237250,3613360,3472990,346355
1,50,4570760,4128820,4082230,408163
2,50,5190450,4890360,4881970,488196
3,50,5912810,5783520,5781320,578132
4,50,6797970,6735740,6735320,673532
5,50,7798790,7769760,7769680,776968
6,50,8870900,8857720,8857700,885770
1,01,00,4365080,3821650,3734680,373182
3,00,5592020,5328940,5323970,532397
5,00,7284700,7242070,7241890,724189
7,00,9441600,9432760,9432570,943257
9,01,1524801,1524701,1524651,152465
11,01,4160841,4160681,4160501,416050
13,01,7408951,7408881,7408861,740886
"} {"image_path": "images/54fffa9125153432bb3d90f7668c90f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Explanatory variablesOutcome variables
Fixed skills scaleSkill loss scaleTrainability scaleRational herding scale Interview scale
A. Candidate characteristics
Female gender0.112*** (0.041)-0.084* (0.050)0.050 (0.053)-0.045 (0.062)0.170*** (0.056)
Bachelor's degree0.354*** (0.050)-0.232*** (0.056)0.743*** (0.066)-0.196*** (0.066)-0.213*** (0.071
5 years of experience0.146*** (0.045)-0.179*** (0.052)0.047 (0.056)-0.062(0.067)0.061 (0.057)
Volunteering0.475*** (0.054)-0.361*** (0.059)0.158*** (0.056)-0.165*** (0.064)0.054 (0.059)
Unemployment duration-0.029*** (0.003)0.036*** (0.003)-0.034*** (0.003)0.045*** (0.004)-0.026*** (0.004
B. Participant characteristics
Female gender0.083 (0.108)-0.161* (0.094)-0.065 (0.108)-0.372*** (0.120)-0.007 (0.106)
Age0.005 (0.005)一0.009* (0.005)0.010* (0.006)-0.019*** (0.007)0.005 (0.006)
Highest degree obtained
Secondary education or0.181 (0.143)-0.262* (0.159)0.162 (0.143)-0.211 (0.184)0.215 (0.199)
lower
Tertiary education: outside0.177* (0.105)-0.293*** (0.091)0.228** (0.105)-0.016 (0.122)0.133 (0.110)
university
Tertiary education: university(reference)
Frequency of hiring: weekly-0.055 (0.108)0.195* (0.100)-0.047 (0.109)0.175 (0.117)-0.144 (0.118)
Experience as HR-0.055 (0.122)0.142 (0.101)-0.085 (0.134)0.104 (0.146)-0.402*** (0.134
professional: $\\geq 10$ years
C. Mediation scales
Fixed skills scale0.851*** (0.056)
Skill loss scale-0.077 (0.056)
Trainability scale0.106** (0.051)
Rational herding scale-0.117*** 0.039
Observations1,095
"} {"image_path": "images/92b7b9770df4e667bba1ec9f55c9a0d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model 1Model 2
LogisticCoefficient(SE)OddsRatio LogisticCoefficient(SE)OddsRatio
Adolescent Factors
Nominee BMI-.03*** .97$-.03^{***}$.97
(.00)(.00)
Nominee athletic status.13*1.14.14*1.15
(.06)(.06)
Demographic Factors
Nominee gender (female)-.07.93-.08.92
(.05)(.05)
Nominee age (years)-.04.96-.04.96
(.02)(.02)
Nominee race (white)-.08.92-.08.92
(.11)(.11)
Nominee parent education.041.04.041.04
(.02)(.02)
Structural Factors
Wave I reciprocity1.34***3.81$1.34^{***}$3.81
(.08)(.08)
Wave II reciprocity4.27***71.52$4.26^{* * *}$70.81
(.06)(.06)
Interaction Term
Female × nominee BMI--$-.03^{***}$.97
(.01)
Nominator-level variance.41-.39-
Nominee-level variance.61-.61-
n (adolescents)2,728-2,728-
n (pairs)1,837,516-1,837,516-
"} {"image_path": "images/5167a7c5da14154af922550b8f35eee1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$V_{opt} (mm/min)$
Tile types (mm)Rosenthal/Easterling(Eq. (9))Steen/Powell (Eqs. (13) and(15))Chryssolouris (Eq. (21))Database [1]
Brazilian3.799811341279500-1000
Peruvian4.77858921007500-700
Italian5.2710806910500-700
Spanish5.74643731825300-550
Spanish7.5492559631200-370
Spanish8.6429488550~160
Spanish9.2401456514~130
"} {"image_path": "images/c0907ae2a5a62ef3ce15218725c97707.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\chi_{1}$$\\frac{H_{m}^{E} }{(J・mol⁻¹)} $
0.7809-41.6
0.8572-35.5
0.9337-20.2
Ethyl pentanoate (1) + 1,6-dibromohexane (2)
0.062230.4
0.132246.1
0.202757.6
0.270262.8
0.335960.9
0.394452.0
0.446439.1
0.490123.7
0.52747.6
0.5624-8.9
0.6245-25.7
0.6853-32.1
0.7481-32.8
0.8143-29.9
0.8791-22.9
0.9470-13.7
"} {"image_path": "images/817bbaaffa127ff37ffd329b1f3b7872.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompoundsHeat of$\\text{fusion/kJ mol}^{-1}$Heat of$\\mathrm{mixing/kJ~mol}^{-1}$ Entropy of$\\mathrm{fusion/J~mol}^{-1}\\:\\mathrm{K}^{-1}$Roughnessparameter
HB22.620.0586.964
MNA24.530.0617.289
Eutectic (HB-MNA)
Exp.18.98-4.400.0526.291
Cal.23.39
HMB26.700.0698.299
CNA21.200.0566.688
Eutectic (HMB-CNA)
Exp.18.46-5.350.0536.327
Cal.23.81
ABP20.830.0536.327
NBA23.340.0566.760
Eutectic (ABP-NBA)
Exp.11.55-10.510.0333.909
Cal.22.06
"} {"image_path": "images/f78aee0461e11d6d9d1dd066e92655a1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
d, mh, m$\\frac{\\mathrm{h}}{\\mathrm{h}+\\mathrm{d}}$R, m $U_{50}, kV$ GapFactor
Rod-RodRod-Plane*
210.335.78877351.20
40.679.810861.48
50.7111.011231.53
310.257.7710859251.17
20.4010.5212061.30
30.5011.1912311.33
40.5712.6812781.38
60.6715.3613491.46
90.7518.4314111.52
420.3311.6131111501.14
40.5015.014091.23
60.6018.014741.29
80.6720.615181.32
620.2515.7154614601.06
40.4019.316191.11
60.5022.716711.15
820.2019.7174316601.05
40.3323.518001.08
60.4327.018411.11
"} {"image_path": "images/67928bbb470b261331795e3f21c4a1fc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ligands/complexes$v_{\\mathrm{C}=\\mathrm{N}}$$\\delta_{\\mathrm{C}-\\mathrm{H}}$$v_{\\mathrm{C}=\\mathrm{O}}$$v_{\\mathrm{as}(\\mathrm{COO}-)}$$v_{\\mathrm{as}(\\mathrm{COO}-)}$$v_{(\\mathrm{Ln}-\\mathrm{O})}$
2,3-DClHBA1694
5,5'-dmebipy1598828737
1163388177315731401417
2162688576715791402421
3161988377115831410421
4165988577115731410419
"} {"image_path": "images/f1d4c7f1ab0c438f9f039de1956436c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年份农林牧渔业总 产 值
农业林业牧业渔业
1952100100100100
1957143.2139.6172.7160.7100
1962117.0113.7389.491.3210.3
1965142.6126.0462.4196.1286.2
1970160.8151.5422.0176.1258.6
1978206.0186.8330.9306.7372.4
1979224.3192.1301.1420.3372.4
1980242.2201.9373.4482.9400.0
1981251.0205.0552.5501.6410.3
1982279.4232.2597.5533.7486.2
1983300.8244.6694.3601.6579.3
1984323.1257.4864.5656.3965.5
1985332.7251.1933.0756.51 272.4
1986351.5261.0841.8847.31 582.8
1987363.7267.0790.8908.31 748.3
1988375.1265.4769.51 006.92 051.7
1989385.4272.5760.61 037.82 293.1
1990409.4290.8742.21 104.32 386.2
1991427.6300.5742.91 179.32 589.7
1992445.7308.2800.41 255.72 831.0
1993450.2299.4812.41 341.13 210.3
1994465.3297.1859.61 461.13 586.2
1995504.9321.2932.61 584.84 369.0
1996533.3338.01 004.61 674.34 893.1
1997559.4351.81 031.21 772.25 481.2
1998584.5361.41 061.61 889.96 126.0
1999605.8368.71 048.31 997.86855.0
2000636.0379.21 080.72 144.17 717.7
"} {"image_path": "images/515d6bedd25b459cd0405bc554326432.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FullParsimonious
MenWomenMenWomen
(a) Training set-$TRG^a$
No formal training but NVQlevel 2 or more 0.0047(0.0432) 0.0608**(0.0293)-0.0013(0.0409) 0.0615**(0.0301)
Only training on YTS-0.0036(0.0408)-0.0336(0.0304)-0.0012(0.0400)-0.0334(0.0308)
Apprenticeship with YTS 0.0160(0.0435)-0.0398(0.0415) 0.0209(0.0426)-0.0383(0.0422)
Apprenticeship with no YTS 0.0965**(0.0464)-0.0449(0.0564) 0.0933**(0.0447)-0.0453(0.0574)
Degree 0.0945*(0.0566) 0.1282**(0.0502) 0.0955**(0.0566) 0.1337**(0.0506)
Selection term for training 0.0171(0.0240) 0.0606**(0.0292) 0.0586**(0.0288)
Selection term for attrition 0.0304(0.1122)-0.0144(0.1123)
(b) Training set-$NVQ^b$
NVQ level 2 0.0105(0.0282) 0.0319(0.0317) 0.0325(0.0286) 0.0362(0.0324)
NVQ level 3 0.0282(0.0643) 0.0420(0.0438) 0.0702**(0.0318) 0.0472(0.0438)
NVQ level 4 or 5 0.1197**(0.0560) 0.1349**(0.0534) 0.1611**(0.0504) 0.1419**(0.0539)
Selection term for training 0.0365(0.0242) 0.0706**(0.0232) 0.0686**(0.0220)
Selection term for attrition 0.0567(0.1088) 0.0473(0.1165)
"} {"image_path": "images/290b152e0818699ea5c700c89b61d773.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dependent variable: adaptive performancesStandardizedcoefficients t p
Independent variablesβ
1. Constant33.92$^{**}$14.350.000
2. Positive copying styles X1$0.37^{* *}$3.820.000
3. Negative copying styles X2$-0.21^{* *}$2.710.000
4. Positive emotions X30.33$^{**}$2.560.001
5. Negative emotions X4-0.22$^{**}$1.870.002
F8.326$^{**}$0.0001
R0.702
R20.492
R2 Adjusted0.476
0.05 and$^{**}$p<0.01
"} {"image_path": "images/eefe7a44c31784ecfb7514696fc07ff8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Rem_{l_{ceil}}$$\\Delta R^{\\mathrm{Rem}}$$Rem_{l_{ceil}}$$\\Delta R^{\\mathrm{Rem}}$
0$(1+\\mathrm{k})<<15$$ 0<\\operatorname{Rem}_{l_{\\text {ceil }}} \\leq 1 \\times 2^{\\mathrm{k}}-1 $0
1×$2^k$1<<15$ 1 \\times 2^{k}<\\operatorname{Rem}_{l_{c e i l}} \\leq 2 \\times 2^{k}-1 $
2×$2^k$ $2\\times 2^{\\mathrm{k}}<\\mathrm{Rem}_{l_{ceil}}\\leq 3\\times 2^{\\mathrm{k}}-1$
3×$2^k$ $3\\times 2^{\\mathrm{k}}<\\operatorname{Rem}_{l_{\\text{ceil}}}\\leq 4\\times 2^{\\mathrm{k}}-1$
4×$2^k$2<<15$ 4\\times 2^{k}<\\operatorname{Rem}_{l_{ceil}}\\leq 6\\times 2^{k}-1 $
6×$2^k$$6 \\times 2^{\\mathrm{k}}<\\operatorname{Rem}_{l_{\\text {ceil }}} \\leq 10 \\times 2^{\\mathrm{k}}-1$
10×$2^k$$10 \\times 2^{\\mathrm{k}}<\\operatorname{Rem}_{l_{\\text {ceil }}} \\leq 18 \\times 2^{\\mathrm{k}}-1$
18×$2^k$$18 \\times 2^{\\mathrm{k}}<\\operatorname{Rem}_{l_{\\text {cell }}} \\leq 34 \\times 2^{\\mathrm{k}}-1$
34×$2^k$$34 \\times 2^{\\mathrm{k}}<\\operatorname{Rem}_{l_{\\text {ceil }}} \\leq 66 \\times 2^{\\mathrm{k}}-1$
......
"} {"image_path": "images/f624e3090b55d8f503a69c3cab6331db.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TARTAR-consistentMTARMTAR-consistent
$δ_1$-0.2480-0.2726 -0.2196 -0.1554
(-4.2337)(-4.5503)(-3.6137)(-2.9347)
$δ_2$-0.1906 -0.1648-0.2308-0.4245
(-2.7822) (-2.5087)(-3.5264)(-5.1304)
$\\tau$0.00000.10960.0000-0.0303
$δ_1=δ_2=0$11.0895**11.8048**10.8312**15.5717**
(F-joint)[7.1661][8.2479][7.6647][9.5494]
T-max value-2.7822**2.5087**-3.5264**2.9347**
[-2.4568][-2.1834][-2.2789][-2.1886]
$δ_1=δ_2$0.49101.79760.01918.6783**
(F-equal)[2.1896][6.0527][3.7860][8.3384]
Lags3333
"} {"image_path": "images/8c30fcbadd434d56488462b9331c62c1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
内蒙古418238681176.063.032903 - - -
辽宁8144212162485.0662532542 - -
吉林283775924133.72226158 - -
黑龙江5247112630331.438685825 - -
上海4450399727171 16335 - -
江苏807813940442.05480321596
浙江6415018153.737.04575416540 -
安徽40373553558.6159.0298944726
福建321712389302.2252384242 - -
江西22469274089.0185571083 - -
山东834449878675.0693773514 - -
河南593479062725.049208352 - -
湖北4018539029.6194.9303205758 -
湖南51018447232.5432983215 - -
广东778354295849.3487.0 5329118913 -
广西293252606398.7752.8 237201847 -
海南56503484032 1270 - -
重庆25174152465.9222021382 - -
四川47738533048.4323.6401621874
贵州14065327210449 344 - -
云南50388277535.691.047368118 - -
西藏109- --109-- -
陕西286083177560.12480071 - -
甘肃22339297019333 366 - -
青海44726073865 -- -
宁夏59541628160.04166
新疆248383053576.721208- - -
不分地区23906---- 3504170 20232
"} {"image_path": "images/5fbc799f6947b744f83920999605794c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Player1994 semester1995 semester1996 semester
Avg.price(variance) Avg.volume(variance) Avg.price(variance) Avg.volume(variance) Avg.price(variance) Avg.volume(variance)
Packer 178.727.878.757.878.148.0
(11.22)(6.0)(12.84)(2.2)(13.92)(4.2)
p-value for price: 0.601p-value for volume: 0.761
Packer 278.288.178.348.378.108.7
(12.08)(7.2)(12.48)(3.2)(14.48)(3.3)
p-value for price: 0.935p-value for volume: 0.381
Packer 378.5210.578.5010.678.2910.6
(11.30)(6.8)(12.41)(7.1) (12.35)(2.6)
p-value for price: 0.922p-value for volume: 0.993
Packer 478.75(11.53)12.078.6811.678.6611.9
(11.53)12.0(4.0)(11.48)(5.1)(10.38) (6.2)
p-value for price: 0.989p-value for volume: 0.548
AllPackers78.6736.678.6636.878.4336.7
(11.06)(39.3)(11.73)(37.5)(11.11)(57.9)
p-value for price: 0.906p-value for volume: 0.983
"} {"image_path": "images/ca0dcfb30c11140e0729a3d3eb85e539.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CGSCGS
DITDITDITDITDIFDIFDIFDIF
R/OO/RO/OR/OR/OO/RO/OO/R
L0R (s)R (s)R (s)R (s)R (s)R (s)R(s)R (s)
L1A (s)B (s)B (s)B (s)A (s)B (s)A (s)A (s)
L2B (s)A $(s)^{*}$ A (s)A (s)B $(s)^{*}$A (s)B (s)B (s)
P0A (s)B (s)B (s)IA (s)B (s)A (s) B (s)A (s) B (s)
P1IIIR (s)IIII
P2C (s)D (s)D (s)D (s)C (s)D (s)A (s)A (s)
Q0A (s)B (s)A (s) B (s)A (s) B (s)A (s)B (s)A (s)I
Q1111 11IIR (s)
Q2C (s)D (s)B (s) B (s)C (s)D (s)C (s)C (s)
T1B (s)0000A (s)00
T20B (s)B (s)B (s)A (s)0A (s)A (s)
"} {"image_path": "images/5b191ad6b399cb1df1e67aee56172d3b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品 种热 处 理 条 件试验温度℃机械性能
$\\sigma_{\\mathrm{b}}, \\mathrm{MPa}$$\\sigma_{0.2}, \\mathrm{MPa}$$δ$,%
板材 , 4.8-25.4m m1121 °C固溶 处理 (水冷 )20468226361
31665023566
42763122560
53860122659
$$\\text{ 板材,} 25.4~m~m$$1121 °C 固溶 处理 (水冷 )室温78536559
31666425063
42765421061
板材 ,2.4m m(原始 厚度)冷 变形 0 %室温80643467
冷 变形 10 %室温89463648
冷 变形 20 %室温102189026
冷 变形 30 %室温1171108315
冷 变形 40 %室温133612619
冷 变形 50 %室温144913477
"} {"image_path": "images/34de2a0ae42b855d31a54a72336d8d22.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesAugmented Dickey-Fuller test statisticPhilips-Perron test statisticOrder of integration
Atlevel (intercept)First difference (intercept)At levelFirst difference
t-statisticProb.*t-statisticProb.*t-statisticProb.*t-statisticProb.*
$InCO_{2}$-1.1069610.693-2.9962970.0516-0.9767150.7429-2.9962970.05160I(I)
InHealth-2.1100290.2429-3.6227870.0143-1.7377260.3995-3.5437540.01690I(I)
InGDP-0.1323750.9334-2.9940520.05350.1540740.9627-2.4000110.08300I(I)
InTrade-1.4927800.5184-4.6702810.0015-1.5133090.5083-4.6688010.0015I(I)
InCapital0.1325000.9610-2.9587160.0555-0.3041880.9094-2.9587160.0555I(I)
"} {"image_path": "images/2f79bd6b6c20376c337bc6e172e19565.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MinimumBaselineMaximum
ValueTissueValueTissueValueTissue
Coefficient ofabsorption $(m^{-1})$2.6Skin (1-2 mm) at 633 nm4Tissuephantomused in thepresentstudy20Skin, dermis at 660 nm
Coefficient ofscattering $(m^{-1})$910Female breast infiltratingcarcinoma at 836 nm (in vitro)4007070Skin and underlying tissuesincluding vein wall (leg) at 633 nm
Index ofrefraction1.36Skin and underlying tissuesincluding vein wall (leg) at 633 nm1.41.53Human aorta at 456-1064 nm
Anisotropyparameter0.69Epidermis / dermis at 200-1000 nm0.820.96Astrocytoma, WHOgrade II at 700-1000 nm
"} {"image_path": "images/47b7267f27acaffb6962e1bb32443d6e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
t 3.47e${}^{-0.326t}$ $1.61e ${}^{-0.075} t$1.13e${}^ {-0.005t}$Total
Time in minutes12.5011.4911.1245.116
50.6791.1041.1032.886
100.1330.7581.0751.966
150.0260.5201.0491.595
200.0050.3571.0231.385
300.1680.9741.142
400.0790.9271.006
500.0370.8820.919
600.0180.8380.856
900.0020.7230.725
1200.6270.623
"} {"image_path": "images/9042cef12de2278fc3651ae9f1d880d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
任次歷任校長任期家長會長
第01任石垣孫保 22.04.01~26.03.26謝如松、江慶森
第02任丸大好光 26.03.27~29.10.14
第03任大坪弘文 29.10.15~30.10.31
第04任細山田武雄 30.11.01~32.03.31
第05任橋本秀平 32.04.01~34.12.03
第06任賴瑞朝 34.12.04~40.08.31張紹榕
第07任張火樹 40.09.01~46.10.31徐瑞紹、黃明國
第08任賴瑞朝 46.11.01~51.08.31黃明國
第09任陳百年 51.09.01~56.09.11黃明國
第10任劉敍九 56.09.12~69.09.25黃明國、李金鐘、許叔宣楊炳坤、劉東青、劉新道
第11任許守忠 69.09.26~82.01.31魏騰山、凃銓重、鄭敏欽
第12任黃錦南 82.02.01~88.07.31鄭敏欽、張良任
第13任張如桂 88.08.01~91.07.31江錦卿
第14任陳獻煙 91.08.01~99.07.31江錦卿、陳東輝、何友春施增福、吳昶霖、張世良徐松發
第15任張瑞如 99.08.01~徐松發
"} {"image_path": "images/eebc82f8d00fb22b1c9e1eec5178b5ce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0526
0529丨0602活動四、我的新創時代Start-Up學生分組介紹販賣未來概念的商店 , 一組限時三分鐘含問答 , 及影片介紹。 學生分組上台介紹未來概念商店
0605丨0609活動四、我的新創時代Start-Up募資條件討論~募資門檻的條件如何訂定才夠吸引人?商品夠創新嗎? 可行嗎? 等待時間要多久?學生對商品販賣產生想法
0612丨0617活動五、2041 永續未來委託行學生以選擇、理由、期待、想像四個段落主題,先以寫作呈現自己在委託行的開店理念,再製成展店企劃書。學生完成商店企劃書
0619丨0623活動五、2041 永續未來委託行展示全班作品後 , 從商店的特色中進行商店的分類 , 再討論如何將構想的幸福夢想創新商店 , 置入未來20年後委託行商圈。學生上台分享
0626丨0630活動五、2041 永續未來委託行將展店企劃書做為模型 , 分組完成街道的擺設及布置中。讓學生將開店的想法從文字的平面化 , 藉由動手架構模擬城市的活動的具象化過程 , 達到深化及活化的效果。將商店做成模型
議題融入實施內涵美學教育及公民素養
評量規劃多元評量
環境與教養設備需求環境 :教室、基隆委託行教學設備 :每生一平板學生先備基礎 :具備使用平板的基本能力 , 能運用各種雲端平台、app 工具
教材來源顏惠君老師設計師資來源五年級導師群
備註
"} {"image_path": "images/d8efc6ff148366ee2ea4f5a6ce0de156.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Coating typeVOC enissions,Kg/yr (tons/yr)
Ⅰ-25/40 Ⅱ-25/40 Ⅲ-25/40 Ⅳ-$25 / 40^{\\mathrm{a}}$ Ⅴ-25/40 Ⅵ-25/40 Ⅶ-25/40 VⅢ-25/40 ⅠX-$25 / 40^{\\mathrm{a}}$ Ⅹ-25/40 Ⅺ-25/40 Ⅻ-25/40 ⅩⅢ-$25 / 40^{\\mathrm{a}}$ ⅩⅣ-25/40ⅩⅤ-25/40 ⅩⅥ-$25 / 40^{\\mathrm{a}}$
Lower solidsexterior 40.58(44.73) 40.58(44.73) 40.58(44.73) 40.58(44.73) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00)
Medium solidsexterior 10.85(11.96) 10.85(11.96) 10.85(11.96) 10.85(11.96) 29.94(33.01) 29.94(33.01) 29.94(33.01) 0.00(0.00) 29.94(33.01) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00)
Higher solidsexterior 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00)19.96(22.01) 0.00(0.00)19.96(22.01)19.96(22.01) 0.00(0.00)19.96(22.01) 0.00(0.00) 0.00(0.00) 0.00(0.00)
Waterbone exterior 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 11.56(12.75) 1.37(1.51) 11.56(12.75) 11.56(12.75) 11.56(12.75)
Total exteriorcoatings 52.80(58.20) 52.80(58.20) 52.80(58.20) 52.80(58.20) 31.31(34.51) 31.31(34.51) 31.31(34.51) 21.33(23.51) 31.31(34.51) 21.33(23.51) 21.33(23.51) 11.56(12.75)21.33 (23.51) 11.56(12.75) 11.56(12.75) 11.56(12.75)
Lower solids EMI/RF I 19.86(21.90) 0.00(0.00) 0.00(0.00) 0.00(0.00)19.86(21.90) 0.00(0.00) 0.00(0.00)19.86(21.90) 0.00(0.00) 0.00(0.00) 0.00(0.00)19.86(21.90) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00)
Medium solids EMI/RF I 0.00(0.00)10.52(11.59) 0.00(0.00) 0.00(0.00) 0.00(0.00)10.52(11.59) 0.00(0.00) 0.00(0.00) 0.00(0.00)10.52(11.59) 0.00(0.00) 0.00(0.00) 0.00(0.00)10.52(11.59) 0.00(0.00) 0.00(0.00)
Waterbone EMI/RF I 0.00(0.00) 0.00(0.00) 2.12(2.34) 0.00(0.00) 0.00(0.00) 0.00(0.00) 2.12(2.34) 0.00(0.00) 0.00(0.00) 0.00(0.00) 2.12(2.34) 0.00(0.00) 0.00(0.00) 0.00(0.00) 2.12(2.34) 0.00(0.00)
Total EMI/RF Icoatings19.86(21.90) 10.52(11.59) 2.12(2.34) 0.00(0.00)19.86(21.90) 10.52(11.59) 2.12(2.34)19.86(21.90) 0.00(0.00) 10.52(11.59) 2.12(2.34)19.86(21.90) 0.00(0.00) 10.52(11.59) 2.12(2.34) 0.00(0.00)
Total emissions 72.66(80.10) 63.32(69.79)54.92(60.54) 52.80(58.20) 51.18(56.41) 41.83(46.11) 33.44(36.86) 41.83(46.11) 31.31(34.51) 31.31(34.51) 23.45(25.85) 31.31(34.51) 21.33(23.51) 22.08(24.34)13.69(15.09)11.56(12.75)
achiellding is
"} {"image_path": "images/f5f7d7c72d40972461c20943d88ea54e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AllTop 5 disease classifications
S & TKJBG
87,24219,615(22.5)16,822(19.3)15,687(18.0)14,865(17.0)4,190(4.8)
Sex
Male51,159(58.6)12,470(63.6)9,363(55.7)9,205(58.7)8,055(54.2)2,473(59.0)
Female36,083(41.4)7,145(36.4)7,459(44.3)6,482(41.3)6,810(45.8)1,717(41.0)
Admission status
Discharged67,881(7738)17,332(88.4)12,834(76.3)10,434(66.5)12,871(86.6)2,281(54.4)
Admitted19,078(21.9)2,176(11.1)3,951(23.5)5,239(33.4)1,990(3.4)1,875(44.8)
Transferred213(0.2)89(0.4)36(0.2)13(0.1)4(0.0)33(0.8)
Died70(0.1)18(0.1)1(0.0)1(0.0)-1(0.0)
Age (months)
0-1217,810(20.4)1,175(6.0)3,271(19.4)4,038(25.7)4,904(33.0)399(9.5)
13-7242,047(48.2)8,985(45.8) 8,985(45.8)7,120(42.3)8,961(57.2)8,375(56.3)2,245(53.6)
73-14413,865(15.9)5,685(23.3) 5,685(23.3)3,091(18.4)1,638(10.4)1,184(8.0)783(18.7)
≥14513,520(15.5)4,881(24.9)3,340(19.9)1,050(6.7)402(2.7)763(18.2)
Length of stay(h:mm)2:361:573:122:572:384:22
"} {"image_path": "images/bcea2cc7dcc31cd7696d6a4e4a97ed83.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PeriodeVariableMittlere ausbeute an Azulen(proz.) für das Niveau:Abhängigkeitder Ausbeute:
12345lin.qu.andere
1Tag28,734,029,027,826,9---
Stelle28,031,030,130,127,2---
$\\dot{\\mathbf{n}}_{\\mathbf{s}}$25,234,830,226,130,3--2. Niveauhöher:0,1
$\\dot{\\mathbf{n}}_{\\mathbf{N}_2}$34,034,925,026,526,3--1.2.Niveauhöher: 0,1
T12,620,930,844,341,80,15kubisch:5
2Tag23,219,722,025,718,5---
Stelle23,026,221,322,516,4---
$\\dot{\\mathbf{n}}_{\\mathbf{s}}$25,523,520,219,720,0---
$\\dot{\\mathbf{n}}_{\\mathbf{N}_2}$35,222,820,317,814,60,1(5)-
T6,011,719,531,649,10,1(5)-
Mittlere Ausbeute an Naphtalin
1Tag1,320,370,210,110,241(1)-
Stelle0,750,400,140,290,39---
$\\dot{\\mathbf{n}}_{\\mathbf{s}}$0,320,300,250,430,63---
$\\dot{\\mathbf{n}}_{\\mathbf{N}_2}$0,180,410,700,570,15---
T0,220,390,180,201,16--5. höher:1
2Tag0,160,040,040,030,02---
Stelle0,030,130,070,020,02---
$\\dot{\\mathbf{n}}_{\\mathbf{s}}$0,020,100,040,020,09---
$\\dot{\\mathbf{n}}_{\\mathbf{N}_2}$0,150,140,010,050,001--
T0,060,000,060,220,021--
"} {"image_path": "images/4e6156a7918e0b112c3e10a3a4b354b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
性 别
性 腺 发 育 期IIIIIIVVVIIIIIIIVVVI
$\\text{II}_{\\text{初}}$$\\text{II}_{\\text{重}}$$\\text{II}_{\\text{初}}$$\\text{II}_{\\text{重}}$
成熟系数变 动 幅 度0.04-5.910.11-8.000.29-11.00 2.58-36.780.77-24.420.57-5.780.04-2.690.05-4.440.67-9.002.21-10.86 0.27-16.000.33-9.06
平 均0.691.562.3014.359.412.940.430.793.506.025.793.52
测 定 数 (尾)2822305166386331011586159907121
"} {"image_path": "images/97838c98436b8e95a441889143d6cd7c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Depth(cm)Horizon$ \\underset{(\\%)}{\\mathrm{SiO}_{2}} $$ \\underset{(\\%)}{\\mathrm{Al}_{2} \\mathrm{O}_{3}} $$\\begin{array}{l}\\text { Fe }_{2} \\mathrm{O}_{3}\\\\ (\\%)\\end{array} $$\\begin{array}{l}\\text { MnO}\\\\ (\\%)\\end{array} $$\\begin{array}{l}\\text { MgO}\\\\ (\\%)\\end{array} $$\\begin{array}{l}\\text { CaO}\\\\ (\\%)\\end{array} $$ \\underset{(\\%)}{\\mathrm{Na}_{2} \\mathrm{O}} $$\\begin{array}{l}\\mathrm{K}_{2} \\mathrm{O}\\\\ (\\%)\\end{array}$$ \\underset{(\\%)}{\\mathrm{TiO}_{2}} $$\\begin{array}{l}\\text { P}_{2} \\mathrm{O}_{5}\\\\ (\\%)\\end{array} $$\\delta^{26} \\mathrm{Mg} \\pm 0.14^{*}$(‰)$\\delta^{25} \\mathrm{Mg} \\pm 0.06^{*}$(‰)N(n)
StandardDRN52.8517.523.70.224.47.052.991.71.090.25-0.53-0.282(5)
-15$A_{h}$91.451.370.210.000.04CaO0.470.170.04-0.48-0.251(3)
-30E93.331.670.230.000.040.510.180.040.250.131(3)
-55$B_{h}$87.084.481.280.010.181.040.20.10.130.071(3)
-70$B_{s}$88.535.031.450.010.190.071.310.190.07-0.08-0.041(3)
-110C87.616.441.120.010.251.520.190.070.000.011(3)
Bedrock-92.013.650.330.000.100.340.131.870.120.060.130.071(3)
"} {"image_path": "images/614de2c560394f9847113cf18bd2752d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目完工产品和在产品耗用其他车间半成品数量
四车间三车间二车间一车间
合计广义月初在产品104520330
本月投入生产5025080300
广义月末在产品209040310
产成品耗用4016080400
约当总产量60250120710
"} {"image_path": "images/5ec13bbf44a2107939dc797e7d6ba125.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$m_{b}$$\\lambda_{1}$4.644.724.80
-0.350.34760.36740.3856$r_{1}$
0.62010.73050.7878$r_{2}$
0.56680.69970.7657$r_{3}$
-0.250.33950.36010.3788$r_{1}$
0.55780.69420.7743$r_{2}$
0.45840.66740.7520$r_{3}$
-0.150.33130.35270.3720$r_{1}$
0.49450.63000.7557$r_{2}$
0.18860.61920.7357$r_{3}$
"} {"image_path": "images/759084ea30b8df39c0176d736774f34e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验标准检验方法检验数量
主控项目1 钢结构防腐涂料、稀释剂和固化剂等材料的品种、规格、性能等应符合现行国家产品标准和设计要求 检查产品的质量合格证明文件、中文标志及检验报告等全数检查
2 涂装前钢材表面除锈应符合设计要求和国家现行有关标准的规定。处理后的钢材表面不应有焊渣、焊疤、灰尘、油污、水和毛刺等。当设计无要求时,钢材表面除锈等级应符合下列规定: 用铲刀检查和用现行国家标准《涂装前钢材表面锈蚀等级和除锈等级》GB 8923 规定的图片对照观察检查 按构件数抽查$10 \\%$, 且同类构件不应少于 3 件
涂料品种最低除锈等级
油性酚醛、醇酸等底漆或防锈漆St2
高氯化聚乙烯、氯化橡胶、氯磺化聚乙烯、环氧树脂、聚氨酯等底漆或防锈漆Sa2
无机富锌、有机硅、过氯乙烯等底漆$\\mathrm{Sa2~}\\frac{1}{2}$
3 涂料、涂装遍数、涂层厚度均应符合设计要求。当设计对涂层厚度无要求时,涂层干漆膜总厚度:室外应为150μm,室内应为125μm,其允许偏差为-25μm。每遍涂层干漆膜厚度的允许偏差为-5μm 用干漆膜测厚仪检查。每个构件检测5处,每处的数值为3个相距50mm测点涂层干漆膜厚度的平均值 按构件数抽查10%,且同类构件不应少于3件
一般项目1 防腐涂料的型号、名称、颜色及有效期应与其质量证明文件相符。开启后,不应存在结皮、结块、凝胶等现象观察检查 按桶数抽查$5\\%$,且不应少于3桶
2 构件表面不应误涂、漏涂,涂层不应脱皮和返锈等。涂层应均匀、无明显皱皮、流坠、针眼和气泡等观察检查全数检查
3 当钢结构处在有腐蚀介质环境或外露且设计有要求时,应进行涂层附着力测试,在检测处范围内,当涂层完整程度达到70%以上时,涂层附着力达到合格质量标准的要求 按照现行国家标准《漆膜附着力测定法》GB1720或《色漆和清漆、漆膜的划格试验》GB9286执行 按构件数抽查$1 \\%$, 且不应少于 3 件, 每处测3 处
4 涂装完成后,构件的标志、标记和编号应清晰完整观察检查全数检查
"} {"image_path": "images/1d855a436cbe187b9a6ffaa984e1c93e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HotelnameVal-uesRooms Lo-ca-tionClean-linessSer-viceOver-all
Prince4.3473.9644.7974.2664.268 4.186
Conti Hotel
Pitti3.9003.4884.8573.8843.9023.825
Palace
al Ponte
Vecchio
Ho Hotel4.1553.8644.699 4.6994.1793.7073.983
Banys
Orientals
"} {"image_path": "images/70adc71fd27a0b05392513b588a04f42.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Null Hypothesis IntronicIntergenic
DHS < FlankDHS > FlankPDHS < FlankDHS > FlankP
$K_{\\mathrm{DHS}}=K_{\\text {Flank}}$610268$1 \\times 10^{-31 a} $639258$2.6\\times10^{-38\\mathrm{a}}$
$λ_{\\text{DHS}}=λ_{\\text{Flank}}$2381920.015252173$7.4\\times10^{-5\\mathrm{a}}$
$CG.λ_{\\text{DHS}}=CG.λ_{\\text{Flank;}}$3223300.64346283$0.007^a$
$λ_{\\text{DHS}}\\neqλ_{\\text{Flank}}$
$λ_{\\text{DHS}}=λ_{\\text{Flank}}$;2251890.04223171$0.005^a$
$CG.λ_{\\text{DHS}}\\neq CG.λ_{\\text{Flank}}$
"} {"image_path": "images/a0495b74fa88abba96fb712b1d0983e1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
speciesCVCdeformnVCstretchVCObendCOstretch$E_{vib,}^{}{b}$eV
$\\mathrm{V}(\\mathrm{CO})_{7}^{+}(\\mathrm{A})$68(4)381(1)364(4)1970(4)0.380
95(4)394(2)436(4)1988(2)
98(3)668(4)441(3)2082(1)
511(3)
$\\mathrm{V}(\\mathrm{CO})_{7}^{+}(\\mathrm{B})$61(4)191(1)153(4)1988(4)0.518
86(4)197(2)262(4)2018(2)
88(3)334(4)265(3)2112(1)
306(3)
$\\mathrm{V}(\\mathrm{CO})_{6}^{+}$68(3)381(1)364(3)1970(3)0.317
95(3)394(2)436(3)1988(2)
98(3)668(3)441(3)2082(1)
511(3)
$\\mathrm{V}(\\mathrm{CO})_{5}^{+}(\\mathrm{A})$68(2)381(1)364(2)1947(2)0.254
95(2)394(2)436(2)1965(2)
98(3)668(2)441(3)2059(1)
511(3)
$\\mathrm{V}(\\mathrm{CO})_{5}^{+}(\\mathrm{B})$60(3)350(4)350(5)1965(4)0.280
90(4)650(1)450(5)2100(1)
$\\mathrm{V}(\\mathrm{CO})_{5}^{+}(\\mathrm{C})$60(3)350(5)300(5)1965(4)0.303
75(4)400(5)2100(1)
$\\mathrm{V}(\\mathrm{CO})_{4}^{+}(\\mathrm{A})$60(5)300(3)300(4)1920(4)0.233
500(1)400(4)
$\\mathrm{V}(\\mathrm{CO})_{4}^{+}(\\mathrm{B})$75(5)400(3)350(4)1920(2)0.207
550(1)450(4)2100(2)
$\\mathrm{V}(\\mathrm{CO})_{4}^{+}(\\mathrm{C})$100(5)400(2)350(4)1920(2)0.191
600(2)500(4)2100(2)
$\\mathrm{V}(\\mathrm{CO})_{3}^{+}(\\mathrm{A})$40(3)150(2)250(6)1859(3)0.199
250(1)
$\\mathrm{V}(\\mathrm{CO})_{3}^{+}(\\mathrm{B})$60(3)250(2)350(6)1859(1)0.157
400(2)1920(2)
$\\mathrm{V}(\\mathrm{CO})_{2}^{+}$36(2)149(1)231(2)2023(1)0.134
225(1)254(2)2027(1)
$\\mathrm{V}(\\mathrm{CO})^{+}$166(1)221(2)2023(1)0.046
"} {"image_path": "images/3286c3ede6b52f5f60275bc0cba20be6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号种 类动作所需力量最大值复归力最小值动作前的移动最大值动作后的移动最小值应差的动作 最大值动作位置
单刀双掷双刀双掷
D4A-OIN标准4kg-cm(3.51b-in)0.5kg-cm(0.4lb-in)$ 1 2 ^ { \\circ } \\pm 3 ^ { \\circ } $70°$4^{\\circ}\\pm 1^{\\circ} $$5^{\\circ}\\pm 2^{\\circ} $
D4A-02N高精度4kg-cm(3.51b-in 0.5kg-cm(0.41b-in)$ 5^{\\circ}\\pm 2^{\\circ} $75°$3^{\\circ}\\pm 1^{\\circ} $$4^{\\circ}\\pm 1^{\\circ} $
D4A-03N侧旋,小扭矩2kg-cm(1.71b-in)$ 12^{\\circ}\\pm 3^{\\circ} $70°$4^{\\circ}\\pm 1^{\\circ} $$5^{\\circ}\\pm 2^{\\circ} $
D4A-04N 侧旋,高精度,小扭矩2kg-cm(1.71b-In)$ 5^{\\circ}\\pm 2^{\\circ} $75°$3^{\\circ}\\pm 2^{\\circ} $$4^{\\circ}\\pm 2^{\\circ} $
D4A-05N侧旋,保持型触点4kg-cm(3.51b-in)$ 55^{\\circ}\\pm 10^{\\circ} $20°$ 28^{\\circ}\\pm 7^{\\circ} $$ 28^{\\circ}\\pm 7^{\\circ} $
D4A-17N侧旋,顺序动作4kg-cm(3.51b-in)0.5kg-cm(0.4Tb-in)1st pole$7^{\\circ} \\pm 3^{\\circ}$2nd pole$15^{\\circ} \\pm 3^{\\circ}$65° Each pole $4^{\\circ} \\pm 2^{\\circ}$
D4A-18N侧旋,中心中间动作4kg-cm(3.51b-in)0.2kg-cm(0.2ib-in)$ 15^{\\circ}\\pm 3^{\\circ} $65° 4° ± 1°
"} {"image_path": "images/0a93dd0581ee90842a7ed099360b5901.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Arthur [2]B4B6-1B7-1B10-1B10-2C1-2
C2-1C4C5-1C6-1C6-2C8-1
C8-2
Alshegeir and Ramirez [3]I-4AII-1AI-3A
Teng et al. [4]P-1aP-$1b^a$P-1b(2)P-2aP-2bP-3a
P-3bP-1cP-1c(2)P-1dP-1d(2)P-$1e^a$
P-1e(2)P-2eP-3eP1-1.5-WOP1-1.5-WVP1-1.5-WVH
P1-1.0-WOP1-1.0-WVP1-1.0-WVH
Tan et al. [5]1P-500/0.51P-500/0.751P-500/1.02P-1000/0.52P-1000/0.752P-1000/1.0
3P-1400/0.53P-1400/0.753P-1400/1.04P-1750/$0.5^a$4P-1750/0.754P-1750/1.0
Tan and Tong [6]G1G2G3G4G5G6
"} {"image_path": "images/24503c673521b5a8d51d34a6370eda7c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x$\\sigma_{s-10 \\mathrm{~K}}\\left(\\mathrm{Am}^{2} / \\mathrm{kg}\\right)$$ \\sigma_{s-300\\,\\mathrm{K}}\\left(\\mathrm{Am}^{2}/\\mathrm{kg}) $$\\mu_{exp} \\ (\\mu_B /formula)$
$\\mathrm{Co}_{x} \\mathrm{Ni}_{0.7-x} \\mathrm{Fe}_{2.3} \\mathrm{O}_{4}$
0.0065.588160.73902.7426
0.1070.863765.94702.9635
0.2072.679168.59353.0397
0.3076.505972.10273.2001
$\\mathrm{Cr}_{x} \\mathrm{Ni}_{0.7-x} \\mathrm{Fe}_{2.3} \\mathrm{O}_{4}$
0.0067.398962.78902.8183
0.1566.250160.02062.7584
0.2564.979558.00312.6977
0.3062.992357.11292.6114
$\\mathrm{Cr}_{x} \\mathrm{Ni}_{0.7} \\mathrm{Fe}_{2.3-x} \\mathrm{O}_{4}$
0.0066.278661.64312.7715
0.0563.592959.78632.6570
0.1060.328156.96182.5185
0.1556.871853.67242.3722
0.2055.993451.08802.3337
0.2555.068149.19082.2932
0.3052.655746.81762.1909
"} {"image_path": "images/f89e3447d032cfe77f38526a47795980.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1X$X^{2}$$X^{3}$$X^{4}$$X^{5}$
$a_6=\\frac{2X}{127~575}$ .1-22 356+1 144 152-8 973 444+2 994 680+13 853 632-15 163 392
$\\alpha$+395 280-17 460 768-2 836 480+61 894 656-77 919 232
$\\alpha^{2}$+626 472-24 283 800+169 210 608-26 256 384-125 701 632
$\\alpha^{3}$+535 680-5 024 160-67 105 920+442 615 040-394 024 960
$\\alpha^{4}$+1 030 248-29 841 432+184 069 408-432 265 728+392 003 328
$\\alpha^{5}$-165 888+6 619 968-71 298 432+299 235 840-526 663 680
$\\alpha^{6}$-26 082+941 436-9 367 506+36 934 092-78 518 688+83 019 648
"} {"image_path": "images/b1b9d1c0e8b810316269df0a7e720e2c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
sub-sampleTarget$\\log{L_{\\mathrm{TIR}}}^\\mathrm{a}$$~~$ $(L_{\\odot})$ $\\log{L_{\\mathrm{TIR}}}^\\mathrm{b}$$~~$ $(L_{\\odot})$ $~~$ $ \\text{SFR}^\\mathrm{a}$$\\left(M_{\\odot} \\mathrm{yr}^{-1}\\right)$ $~~$ $ \\text{SFR}^\\mathrm{b}$$\\left(M_{\\odot} \\mathrm{yr}^{-1}\\right)$$ \\log M_{\\mathrm{dyn}}\\sin^2i$$~~$ $(M_{\\odot}) $$ \\log M_{\\mathrm{dyn}}\\text{c}$$~~$ $(M_{\\odot})$$ \\log M_{\\mathrm{BH}}\\text{d}$$~~$ $(M_{\\odot})$$ M_{\\mathrm{dyn}}/M_{\\mathrm{BH}}$$\\dot{M}_*/\\dot{M}_\\mathrm{BH}\\mathrm{e}$
IDcomp.
BrightJ0331QSO$12.85^{\\mathrm{f}}$12.80$715^{\\mathrm{f}}$62510.5810.788.838832
J1341QSO13.4813.553035352910.6710.869.8211122
J1511QSO13.2313.341696218010.8010.858.42264191
SMG12.4212.2826119110.7710.78.........
$B^{g}$12.5112.39326246...............
FaintJ0923QSO12.6912.5648836110.5110.878.6815848
SMG12.2912.1619514410.2010.33.........
J1328QSO12.4412.3127720610.1210.789.085020
SMG12.0611.861147310.8211.03.........
J0935QSO12.4212.2826119110.4010.578.825616
"} {"image_path": "images/d98e008a11746aebc248dd076e0ae40a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
花西子完美日记润百颜敷尔佳小奥汀
COLORKEY林清轩橘朵逐本花知晓
江小白梅见钟薜高元气森林汉口二厂
王饱饱拉面说自嗨锅日食记小仙炖
小罐茶王小卤鹰集咖啡轩妈蛋黄酥乐纯
李子柒三顿半中街1946好欢螺认养一头牛
空刻谷物星球每日黑巧喜茶奈雪的茶
茶颜悦色Ubras内外蕉内Beaster
MLBrealmeusmileUlike云鲸
添可猫王收音机ninebot九号pinktop缤兔喵喵机
shark火鸡电器小熊电器超级零wonderlab
ffit8野兽生活超级文和友阿那亚泡泡玛特
气味图书馆理然宝宝馋了babycareKeep
好好住简爱瑷尔博士AOEO贝瑞甜心
"} {"image_path": "images/2b2f3f053421a814906a4949684e1be2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Subgroup (i)NMeanThe average ofthe squareddifferences fromthe total mean
121012.89.6
252015.28.7
34508.810.2
total118012.339.4
$X_{ai} = the~test~value~in~subgroup~i~of~D_a$
$\\mu_a = the~mean~of~test~results~in~D_a$
$N_{ai} = the~number~of~patients~in~subgroup~i~of~D_a$
The average of the squareddifferences from the total mean
"} {"image_path": "images/f8c963168288694d43be256ba99171e1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HostMgAl
SiteVoltage (V)$Q$ ($|e|$)SiteVoltage (V)$Q$ ($|e|$)
$TiS_{2}$Oct1.681.52Td1.862.19
$CrS_{2}$Td1.901.52Td2.482.15
$MnS_{2}$Oct2.011.50Td2.122.17
$FeS_{2}$Oct1.931.53Td2.362.14
$CoS_{2}$Td1.931.51Td1.622.15
$NiS_{2}$Td1.601.50Td1.702.13
"} {"image_path": "images/ed6207de4b488d13eec47ea17fa09694.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Degradation time(days)Copolymer compositionHB:HHx (%) Film 1 Film 2
$\\bar{M}_{w}$$(\\text{10}^5)$$\\bar{M}_{n}$$(\\text{10}^5)$$\\bar{M}_{w}$ /$\\bar{M}_{n}$Recovery (wt.%)Copolymer compositionHB:HHx (%)Recovery (wt.%)
0$94.2:5.82^a$$(94.5:5.50)^b$7.664.861.610082.8:17.2$(82.7:17.3) ^b$100
794.7:5.356.804.631.592.883.3:16.697.4
1495.3:4.693.942.471.656.183.6:16.467.5
2195.9:4.14---16.083.5: 16.544.7
2895.9 : 4.09---7.4184.2: 15.81.91
"} {"image_path": "images/68a4caae1cd025e1fceb75ec98198914.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Speech-disorderedgroupControlgroupT value
Renfrew Bus Story (information score)21.67(8.87)29.44(6.26)-3.04**
Renfrew Bus Story (MLU)8.08(2.52)11.06(2.38)-3.64***
Renfrew Action Picture Test (informationscore)31.75(2.95)34.06(3.73)-2.06*
Renfrew Action Picture Test (grammarscore)19.444(3.96)25.50(5.06)-4.0***
Naming task7.94(2.10)12.39 (3.27)-4.85***
British Picture Vocabulary Scale (standardscore)94.83(12.68)109(10.13)-3.57***
Test for Reception of Grammar (number ofblocks)10(2.93)12.94(1.95)-3.47***
"} {"image_path": "images/7c365c8573df6e2bd46eb0c1d81f31e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
故 障 现 象测试状态1—22—33—44—55—66—0故 障 点
按下 $\\mathrm{SB}_{2}$ 时,$\\mathrm{KM}_{1}$ 不吸合 按下 $\\mathrm{SB}_{2}$不放380 V00000$\\mathrm{FR}$ 常闭触点接触不良
0380 V0000$\\mathrm{SB}_{1}$ 触点接触不良
00380 V000$\\mathrm{SB}_{2}$ 触点接触不良
000380 V00$\\mathrm{KM}_{2}$ 常闭触点接触不良
0000380 V0$\\mathrm{SQ}$ 触点接触不良
00000380 V$\\mathrm{KM}_{1}$ 线圈断路
"} {"image_path": "images/88c2ed3a725c0cf9b2753773258c57cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
巷道截面 S風 窗 截 面 $S_{0}$, 公尺 ${ }^{3}$
${公尺}^2$0.20.30.40.50.60.70.80.91.01.21.41.61.82.02.252.5
7.035421544841528359259194150119805641312418.013.0
6.035201529831519353253189146115765339292216.412.3
5.034751505815508343245182140110725036262014.4
4.5345014998055003362391771361066947342518.3
4.03444147579349032823317213110265443122
3.53410145877747831822416412496614128-
3.033601421757462305213155116895536
2.5330013847284392871981421058048
2.03210133368740726117712490----
1.530541231620356221144--
1.027721173497265---
"} {"image_path": "images/8991d6cd006e151e4bc63661e41c5ae7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Mole ratio of products based on NTE = 1
Solvent:1radioNTE ethoxylates
SolventNTE1-Mol2-Mol3-MolOther
None (vacuum 100 mm)10.870.370.12
None (vacuum 0.44-0.08 mm)10.750.280.08
Water211:110.730.240.05
2-Ethoxyethanol54:110.320.04$0.27^{a}$
2,2',2''-Nitrilotriethanol (NTE)7:112.570.21
2,2',2''-Nitrilotriethanol30:111.010.03
2,2'-Iminodiethanol39:1$1^{b}$
2-Aminoethanol9:11$1.06^{c}$
Ethylene glycol20:110.06$0.52^{d}$
$^{a}2-(2-Ethoxyethoxy)ethanol.$ $^{b}Only\\ product.$ $^{c}2,2'$-Iminodiethanol. $^{d} Diethylene\\ glycol.$
"} {"image_path": "images/0dc91b7d24284ec1810cde4a0445281e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DescriptionSourceData type
(a) Geospatial data
Hydrography flow linesNational Hydrography DatasetVector (Polyline)
Flow line catchmentsNational Hydrography Dataset PlusVector (Polygon)
USGS streamflow gagesNational Hydrography Dataset PlusVector (Point)
NameSourceMeasurements unitsData typeGrid size
(b) Hydrologic time series data
PrecipitationPRISM Group Dataset$m^{3}s^{-1}$Raster4 km
EvaporationNorth American Regional$m^{3}s^{-1}$Raster32.5 km
Reanalysis (NARR) program
StreamflowUS Geological Survey$m^{3}s^{-1}$Vector (Point)-
Groundwater levelUS Geological Surveym from surfaceVector (Point)-
"} {"image_path": "images/3fb343798704b55279761981129f8a3d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国 家 或 地 区普 查 日 期 和 项 目经 济 活 动 人 口
总 计农 猎 林 渔采 矿、采 石制 造 业
20-242,109,6311,083,13011,631178,346
25-343,263,4022,003,90334,835333,803
35-443,073,8692,007,23935,617260,691
45-541,653,7761,169,75111,932113,789
55-641,350,4421,080,2394,48759,990
65+791,836687,78764022,798
不 详5
欧 洲
比利时1970.12.31普查
男女经济活动人口合计3,524,559162,11850,1291,164,684
%100.04.61.433.0
男 ( 合计 )2,479,072133,12449,242868,857
14-19137,0175,7431,00567,203
20-24287,8878,6092,312117,855
25-34566,23418,58810,135200,835
35-44607,27131,70918,396205,378
45-54489,80231,59012,336155,965
55-64355,07631,8514,897115,784
65+35,7855,0341615,837
女 ( 合计 )1,045,48728,994887295,827
14-19120,7291,7936859,214
20-24208,1182,18615169,568
25-34250,8694,57515867,915
35-44214,6338,34819353,914
45-54160,0346,99620833,657
55-6474,3834,0459210,224
65+16,7211,051171,335
"} {"image_path": "images/3353a37cff7e59e21f94fdfcbe81942e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SystemsPos. ofCu atom Mult.Absoluteenergy (ua)${ΔE_{atom}}^a$(eV)Cu extraction$energy^b~(eV)$${ΔE_{extr.~per~bond}}^c$(eV)ϕ(eV)${Δq_{X/AI}}^d$(in e)${ΔQ_{layer}}^e$(in e)
$Al_{31}$2-62.5584284.78
$Cu_{31}$4-6083.2275614.54
$Al_{30}Cu$12-256.7840420.3092.9940.0364.67$Δq_{{Cu}(1)/Al(1)}=-0.73$1st layer: -0.45
2nd layer: +0.47
3rd layer: -0.02
$Al_{30}Cu$24-256.8158811.1763.7910.0994.74$Δq_{{Cu}(2)/Al(2)}=-0.02$1st layer: -0.21
2nd layer: +0.25
3rd layer: -0.04
"} {"image_path": "images/8e3722fde47a59ff03e723d0d0024477.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
D$P_{~1}\\left(u_{~d}\\right)$$P_{~2}\\left(u_{~d}\\right)$
130.220.32
0.190.17
0.120.10
0.080.09
0.060.08
0.060.06
0.060.04
0.050.04
0.050.03
0.040.02
0.030.02
0.020.02
0.020.01
MR0.0440.088
$\\bar{n~}_H$M=23.423.03
M=32.171.99
M=41.701.58
$\\bar{n~}_K$M=24.443.64
M=32.502.17
M=41.871.67
"} {"image_path": "images/0e32ab050ca0350525a4c890bfdbdd27.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T/K$10^6~\\chi_1$$10^6~{\\chi_1}^{calc}$$10^6~\\chi_1$$10^6~{\\chi_1}^{calc}$$10^5~\\chi_1$$10^6~{\\chi_1}^{calc}$
$\\chi_{2}=0$$\\chi_{2}=0.0716$$\\chi_{2}$=0.1707
288.20.05640.05020.23460.14350.19340.1758
293.20.06080.07310.24160.23330.31540.2697
298.20.09580.11200.27240.35900.45090.3957
303.20.16950.15340.47680.52510.53590.5569
308.20.21320.19920.81500.73180.62200.7534
313.20.24670.24620.98470.97500.93830.9823
318.20.28000.29041.16951.24491.34441.2368
323.20.30760.32791.59991.52711.55781.5070
328.20.36590.35511.77841.80391.72811.7803
T/K$10^4~\\chi_1$$10^4~{\\chi_1}^{calc}$$10^4~\\chi_1$$10^4~{\\chi_1}^{calc}$$10^4~\\chi_1$$10^4~{\\chi_1}^{calc}$
$\\chi_{2}=0.3166$$\\chi_{2}=0.5527$$\\chi_{2}=1$
288.20.40520.41371.24271.28612.39482.3710
293.20.43180.45141.42431.44022.70152.6273
298.20.53480.50111.63931.62262.87812.9300
303.20.58340.56531.91791.83863.23753.2871
308.20.63190.64742.09662.09413.59683.7080
313.20.73840.75192.44472.39674.19264.2041
318.20.91650.88462.72932.75534.91104.7889
323.21.00791.05363.01963.18065.57685.4790
328.21.28931.26923.78523.68546.19876.2937
"} {"image_path": "images/6a5d02b1ab1d902bcbc94221cb7cf012.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Inappropriateexpectations of children'sbehaviorLack empathy forchildren's needsBelieve in use ofcorporal punishmentReverse parent-child rolesOppress children'spower andindependence
PrePosttPrePosttPrePosttPrePosttPre Postt
Fathers ( $\\mathrm{n} = 10)$5.082.2943.92 3.92$3.67^{* *}$ 5.25$3.33^{* *}$5.83$4.08^{* *}$5.00$2.98^{*}$
7.337.178.087.676.33
Mothers $(n = 25)$4.84$6.40^{* * *}$5.10 5.10$4.93^{* * *}$5.22$5.24^{* * *}$6.16$4.13^{* * *}$5.59$5.22^{* * *}$
7.086.677.227.787.47
"} {"image_path": "images/5705eada88c1063a9a34abeb220800c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
受体名别名选择的配体功 能
C 受体亚族
XCR1GPR5XCL1, XCL2炎症
CC 受体亚族
CCR1CKR1CCL14抗病毒反应
CCR2CKR2CCL2募集巨噬细胞
CCR3CKR3CCL11, CCL24寄生虫反应,募集 Th2 细胞
CCR4CKR4CCL17,CCL22募集 Th2 细胞,皮肤归巢
CCR5CKR5CCL4募集 Th2 和巨噬细胞
CCR6 STRL22CCL20树突细胞归巢
CCR7EBIICCL19, CCL21T、B 细胞和树突细胞归巢,募集 NK 细胞
CCR8TER1CCL1募集 Th2 细胞
CCR9 GPR9-6CCL25小肠归巢,胸腺细胞迁移
CCR10GPR2CCL27T 细胞皮肤归巢
CCR11PPR1CCL12, CCL19募集巨噬细胞
DARC多种 CCL疟疾受体
CXC 受体亚族
CXCR1 IL-8RA中性粒细胞趋化和去调节
CXCR2 II.-8RBCXCL1,7,5中性粒细胞趋化和去调节
CXCR3GPR9CXL9,10,11T 细胞反应
CXCR4LESTRCXCL12B 细胞反应,干细胞归巢
CXCR5BLR1CXCL13B 细胞反应
CXCR6BonzoCXCL16激活 T 细胞
CX3C 受体亚族
CX3CR1V28CX3CL1炎症
"} {"image_path": "images/e726d20a2e5b96d1b3fe65f4af1a7b9c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
N=7003 AN casesHR$_1$95% Cl$ HR_{2}{}^{a} $95% ClHR$_3$
Demographic factors
Sex
Male$485(6.9 \\%)$1 (ref)1 (ref)1 (re
Female6518 (93.1%)14.00(12.74-15.39)14.03(12.76-15.43)13.9
Urbanicity
Rural area2133 (30.5%)1 (ref)1 (ref)1 (re
Provincial town1811 (25.9%)1.08(1.01-1.15)1.07(1.00-1.15)1.07
Provincial city1012 (14.5%)1.42(1.31-1.54)1.39(1.27-1.51)1.42
Capital suburb1019 (14.6%)1.25(1.15-1.36)1.23(1.13-1.34)1.25
Capital1028(14.7%)1.48(1.36-1.61)1.44(1.33-1.57)1.47
Paternal age at birth
<2036 (0.5%)0.72(0.50-1.02)0.73(0.51-1.04)0.70
20-24585 (8.4%)0.81(0.73-0.89)0.82(0.74-0.91)0.80
25-292201 (31.4%)1 (ref) 1 (ref)1 (re
30-342397 (34.2%)1.12(1.06-1.20)1.12(1.05-1.20)1.13
35-391208 (17.2%)1.15(1.07-1.25)1.14(1.05-1.23)1.15
≥40576 (8.2%)1.24(1.12-1.37)1.22(1.10-1.35)1.23
Maternal age at birth
<20113 (1.6%)0.62(0.51-0.76)0.65(0.53-0.79)0.59
20-241191 (17%)0.77(0.71-0.83)0.77(0.72-0.83)0.76
25-292813 (40.2%)1 (ref)1 (ref)1(re
30-342122 (30.3%)1.13(1.06-1.20)1.12(1.05-1.19)1.13
≥35764 (10.9%)1.08(0.98-1.17)1.06(0.97-1.16)1.07
Birth-related factors
Maternal infection during pregnancy
No6740 (96.2%)1 (ref)1 (ref)1 (re
Yes263 (3.8%)1.10(0.96-1.27)1.10(0.96-1.27)1.08
Paternal infection during pregnancy
No6962 (99.4%)1 (ref)1 (ref)1 (re
Yes41 (0.6%)0.84(0.6-1.17)0.84(0.6-1.17)0.83
"} {"image_path": "images/a35e75eaac2b58a11c0df1d682fd5c6e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fault ID $mag~ Z_{11}$$(×~10^3)$phase $Z _{11}$$mag~ Z_{21}$$(×~10^3)$phase $Z _{21}$mag$ AV_{21}$phase $AV_{21}$mag $AI_{21}$phase $AI_{21}$OBS
$R_2$ 6%↑5.597-0.82967.361-1.3651.315-0.5370.736-1.365 mag $Z_{21}$, $mag AI_{21}$
$R_2$ 7%↑↓16.548-3.07335.971-2.4942.174 0.5793.597-2.494 mag $Z_{11}$, phase $Z_{11}$, mag $Z_{21}$,phase $Z_{21}$, phase $AV_{21}$mag $AI_{21}$, phase $AI_{21}$
$R_5$ 10%↑4.009-0.9817.880-1.7651.966-0.7850.788-1.765mag $Z_{21}$,mag $AI_{21}$
$C_2$ 8%↓21.9953.12345.237-2.5632.0570.59894.524-2.563phase $Z_{11}$,mag $Z_{21}$, phase $Z_{21}$,phase $AV_{21}$, mag $AI_{21}$, phase $AI_{21}$
$R_2$ 8%↓$R_3$ 7%↓48.5452.18884.9302.8851.7490.6978.4932.885mag $Z_{11}$, phase $Z_{11}$, mag $Z_{21}$,phase $Z_{21}$, phase $AV_{21}$
$C_1$ 7%↑$C_2$ 6%↑4.576-0.8957.406-1.6231.619-0.7280.741-1.623$mag\\ Z_{21},mag\\ AI_{21}$
$R_4$ 9%↑$R_5$ 8%↑5.004-0.9227.785-1.5371.556-0.6150.779-1.537$mag\\ Z_{21},mag\\ AI_{21}$
$R_2$ 8%↑$R_3$7%↑$R_4$ 9%↑5.540-0.7446.575 -1.3371.187-0.5930.658-1.337$mag\\ Z_{21},mag\\ AI_{21}$
"} {"image_path": "images/fe3701c854a0285ae97e775b4b57a962.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SeriesBarrier height (eV)$n_\\mathrm{d}$$(\\times10^{17}\\:\\mathrm{cm}^{-3})$$\\rho_{(bulk)}$$(\\mathbf{\\Omega} \\,\\mathbf{cm})$
Below $T_C$Above $T_C$
10.0500.9250 3.5
20.0851.20 5 23
30.0801.05 1 62
40.1500.85 1-0.5220
50.1000.60 0.8-0.1350
"} {"image_path": "images/7ab3837421c56b4b017e9f4ee7af652e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Values for $k_1$ Values for $C_x$ and $C_y$Region where the disk is stable
Every $k_1$ $C_x = 0$, $C_y = 0$ (Newtonian)All r'
$k1 < 10^{-5}$$0 < C_x < 0.2, 0 < C_y < 0.4$All r'
$k1 < 10^{-5}$$0 < C_x < 0.2, C_y = 0.5$$0 < r' \\lesssim 0.4$
$k1 < 10^{-5}$$0 < C_x < 0.2, C_y = 0.7$$0 < r' \\lesssim 1.4$
$k1 < 10^{-5}$$0 < C_x < 0.2, C_y = 0.75$$0 < r' \\lesssim 2.6$
$k1 < 10^{-5}$$0 < C_x < 0.2, C_y = 0.8$$0 < r' \\lesssim 4$
$k1 < 10^{-5}$$0 < C_x < 0.2, C_y = 0.85$$0 < r' \\lesssim 5.5$ (fit DM halos)
$k1 < 10^{-5}$$0 < C_x < 0.2, C_y = 0.9$$0 < r' \\lesssim 15$ (fit DM halos)
$k1 < 10^{-5}$$0 < C_x < 0.2, C_y = 0.95$Unstable disk
For values of $k_1 > 10^{-5}$Every $C_x$ and $C_y$Unstable disk
"} {"image_path": "images/4a0f905311864f6787c2a72aa7fbb0de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesValidation Group $(n=20)$Cross-validation Group(n=8)
MeanSDMaxMinMeanSDMaxMin
BI value, $\\Omega$
$Z_{TRur}$18.42.823.913.719.72.523.315.0
$Z_{TRul}$18.73.023.613.320.02.822.715.0
$Z_{TRm}$20.72.624.415.921.01.924.218.1
$Z_{TRIr}$6.31.07.94.26.11.07.54.7
$Z_{TRII}$6.51.210.34.55.80.97.35.0
$Z_{\\text {TRwhole }}, \\Omega$45.75.756.734.446.74.752.138.8
BI index ${ }_{\\mathrm{TR}}, \\mathrm{cm}^{2} / \\Omega$114.218.0148.883.1101.111.5115.285.4
"} {"image_path": "images/0b7a7e53c270b2a885f3f00801a2dbd6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Atom$d$$d/σ$Atom$d$$d/σ$
Plane (1):Plane (2):
C(1)—(7),F(1), F(2)$C(4), C(7), C(8), O(2)$
C(1)0·0070·6C(4) $0·001_3$$0·0_3$
C(2)0·0071·5C(7)-0·0050·5
C(3)-0·0010·1C(8)0·0010·2
C(4)一0·0091·1O(2)0·0020·2
C(5)0·0020·2C(3)-0·71573
C(6)0·0151·4C(5)0·72281
C(7)0·0293·2C(9)0.28225
F(1)-0·0040·4N(1)-0·29936
F(2)0·0010·1
C(8)—0·70681Plane (3):
N(1)-1·585192C(7)$-(9), \\mathbf{N}(1)$,O(1)
O(2)0·68473C(7)-0·0192·1
H(3)0·2522·8C(8)0·0212·4
H(5) -0.1922.0C(9)-0·0010·1
H(6) 0.0540.6N(1)0.0151·8
O(1)-0·0151·9
C(4)0·27730
O(2)-0·29132
"} {"image_path": "images/e1fb05fe78fe89bd64ad42499568c1bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\dot{\\gamma}_{\\mathrm{a}},\\mathrm{s}^{-1}$Pressure, MPa
L/D = 2L/D = 6L/D = 10L/D = 20
53·22(-0·01)5·81(-0·04)7.78(0·06)14·15(-0·11)
103·83(0·02)6·74(0·15)9·29(-0·26)16·49(0·35)
204·58(0·00)7·92(-0·10)10·98(0·29)19·19(-0·24)
505·87(0·01)9·95(0·04)13·55(-0·26)23·27(0·05)
806·64(-0·03)11·02(-0·06)14·96(0·31)25·30(-0·13)
1007·04(0·01)11·57(-0·01)15·55(-0·29)26·32(0·11)
2008·44(-0·01)13·41(0·01)17·55(0·18)29·65(-0·11)
50011·00(-0·20)17·06(-0·15)21·76(-0·54)36·35(0·60)
80014·00(-0·10)21·68(0·44)26·62(0·76)44·55(0·43)
100016·60(0·64)25·09(0·40)30·39(0·40)49.64(-0·57)
150022·65(-0·54)32·43(-1·64)38·18(-1·99)60·94(0·24)
200028·65(-1·52)39·08(0·25)45·07(-0·19)70·91(0·10)
300040·69(1·14)50·96(0·37)57·07(0·72)88·50(-0·10)
"} {"image_path": "images/6938cdcd580268ff426642bbbcd5a7f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
自然人间性质方位动物身体
乾 #刚健西北
兑 #少女 *喜悦西
离 #中女缠腻
震 #长男活动
巽 #长女进入东南
坎 #中男陷入
艮 #少男停止东北
坤 #柔顺西南
"} {"image_path": "images/c664ea563eb3278f5cc986e03e098fa1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GlassNo.Chemical composition mol% (wt%)Density$(g/cm^3)$
$SiO^2$PbO$Al_2O_3$$K_2O$$Na_2O$$Sb_2O_3$
A177.78.60 6.3 7.2 0.2 2.929
(25.0)(60.7)(0)(7.7)(5.8)(0.8)
A277.7 7.61.06.3 7.20.22.858
(61.7)(22.4)(1.4)(7.8)(5.9)(0.8)
A377.76.42.26.3 (8.0)7.20.22.780
(62.9)(19.3)(3.0)(8.0)(6.0)(0.8)
A 477.74.24.46.37.20.22.638
(65.3)(13.1)(6.3)(8.3)(6.2)(0.8)
A577.72.06.66.37.22.02.489
(67.8)(6.5)(9.8)(8.6)(6.5)(0.8)
B176.78.61.06.37.20.22.927
(59.3)(24.9)(1.3)(7.7)(5.8)(0.8)
B275.58.62.26.37.20.22.926
(58.3)(24.7)(2.9)(7.6)(5.8)(0.8)
B373.38.6 (24.4)4.46.37.20.22.918
(56.0)(24.4)(5.7)(7.5)(5.7)(0.7)
B471.18.66.66.37.20.22.912
(53.6)(24.1)(8.5)(7.4)(5.6)(0.7)
"} {"image_path": "images/0d2e4a2b3aad51e48db4d946a5c6746f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
site$loading^b$$\\Delta \\nu_{1}\\ (\\text { symm })^{c}$$\\Delta \\nu_{3}\\ (asymm)^{c}$
$Mg^{2+}$1/0/0-15-20-52
6/0/0-16-20-7-1
1/1/0-15-17-128
6/6/0-17-21-146
6/6/6-12-1515
linker1/1/0-3-5-21
3/3/0-3 to -6-5 to -7-2 to -41 to -2
6/6/0-6-7-4-3 to -4
"} {"image_path": "images/4a52df6fb3618e2abcb1edaf3ef1f494.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CubatureRelative errors in %
$I_C$$II_C$$III_C$
BO217.04e-11/3.76e-111.65e-10/7.71e-11(9.00e+01/9.63e+01)5.04e-08/3.26e-09(5.30e+01/6.15e+2)
HX459.02e-11/9.02e-117.74e-09/4.24e-10(1.87e+02/4.31e+03)2.70e-07/1.66e-07(5.98e+01/9.96e+01)
BO613.44e-11/2.63e-114.20e-10/6.06e-11(2.26e+01/9.63e+01)1.38e+02/2.34e+01(1.86e+01/5.94e+02)
FM643.48e-11/2.86e-111.08e-09/1.27e-10(2.51e+01/2.50e+03)3.60e-08/3.99e-08(2.48e+01/9.87e+01)
FM9004.06e-10/5.02e-112.90e-09/2.63e-10(9.07e-01/9.21e+01)2.16e-07/2.65e-07(5.57e-01/3.35e+01)
"} {"image_path": "images/158bd70d50723fd767cf6e12b55c26e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Non-confoca(two-photon)Confocal(two-photon)Non-confocal(three-photon)Confocal(three-photon)
Half width of3-D IPSF$\\nu_{1/2}$2.341.342.861.41
$u_{1/2}$8.024.629.874.89
Axial resolution$\\Delta u_{1/2}$8.65.19.985.67
$\\gamma$0.0450.0930.0470.082
Transverseresolution$\\gamma'$0.2080.3610.1710.349
$\\gamma''$0.1670.3400.1660.305
"} {"image_path": "images/233fd67450ff45450d82452c26adbcaa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompdConcn, %Rabbit corneaGuinea pig cornea
PotencyDurationPotencyDuration
1110.46 (0.37-0.56)0-230.25 (0.17-0.33)0-14
1210.96 (0.93-1.00)24-330.92 (0.86-0.97)16-39
0.500.37 (0.28-0.46)8-120.39 (0.29-0.48)0-13
1310.99 (0.97-1.00)11-360.97 (0.94-1.00)15-33
0.500.44 (0.34-0.53)4-150.80 (0.72-0.87)9-18
1411.0024-630.07 (0.02-0.12)0-6
0.500.95 (0.91-0.99)16-300.00
1611.0018-690.90 (0.84-0.96)16-27
0.500.70 (0.61-0.79)8-270.78 (0.70-0.86)11-18
0.250.17 (0.09-0.24)0-90.09 (0.04-0.15)0-4
1710.88 (0.81-0.94)16-290.29 (0.20-0.38)0-28
1811.0027-1560.96 (0.93-1.00)57-143
0.500.96 (0.92-1.00)17-510.87 (0.81-0.93)18-63
0.250.50 (0.40-0.60)0-170.12 (0.06-0.18)0-9
1910.96 (0.93-1.00)69-1110.00
0.500.87 (0.80-0.94)17-390.00
0.250.13 (0.07-0.20)0-70.00
Cocaine10.95 (0.92-0.98)16-240.61 (0.52-0.70)8-21
0.500.54 (0.46-0.62)7-150.55 (0.45-0.64)4-18
0.25 0.13 (0.08-0.18) 2-6 0.09 (0.04-0.15) 0-5
"} {"image_path": "images/2d586393bae281ec9042a37d896fe928.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Batch Weights
White leadCanadianfeldsparKaolinFlintRutileColorants
II a216.7237.329.0368.722.87.9 copper
II b237.3643.5-44.322.8.9 cobalt
II c237.3637.326.4551.2422.814.5 yellow uranium
II d201.5649.765.1661.1922.816. iron
II e239.237.329.70.22.82. manganese carbonate4. uranium
II f232.249.8-49.522.816. pink base
"} {"image_path": "images/1373e11b154ca095201c300bf7e86303.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelParameter$Temperature(\\circC)$
915202535
Methylcellulose
GAB$x_{\\mathrm{m}}$3.92844.05733.52363.67274.8565
c11.05928.686811.09735.03274.3591
k0.97430.95640.96420.92590.8773
$R^2$0.99800.99440.99570.99720.9926
BET$x_{\\mathrm{m}}$4.10683.89003.33273.21343.3309
C4.39305.66817.86424.08785.0241
$R^{2}$0.98210.92160.94580.98090.9217
Ethylcellulose
GAB$x_{\\mathrm{m}}$1.15931.08670.90680.78850.7505
C5.35974.65224.40033.73383.0674
k0.90820.90350.91090.90670.9224
$R^{2}$0.98710.97670.98110.98080.9660
BET$x_{\\mathrm{m}}$1.79931.60251.36651.08050.706
c2.58172.12892.73784.18882.0159
$R^2$0.91770.78400.81890.66340.6580
"} {"image_path": "images/5d60bb2308d09ce778eabc9655d78c0e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Masculine Item% of ChildrenFeminine Item% of Children
Study $1^{a}$4-Year-OldsStudy $1^a$4-Year-Olds
Study $1^{b}$Study $2^c$Study $1^{b}$Study $2^c$
SERLI conventional items
Hammer10010083Needle, thread939073
Rifle989593Broom857063
Firefighter hat959080Iron856583
Bat and ball927590Baby bottle778563
Spade887583Dishes585053
GST metaphorical items
Bear939073Heart939560
Dog788053Pink928073
Angry788063Flowers907980
Angular788570Cat777053
Fire786373Bird757043
Square756563Butterfly757457
Rough (burlap)706360Rabbit728057
Fir tree694253Soft (cotton)686060
Grasshopper6855 57Feather677550
Eagle645563Curved485543
Remaining GST items
Jeans928587 Dress979593
Airplane889063Ribbon939583
Truck8775 80Toy pony888570
Knife787060Yellow655550
Blocks734547Happy605543
Money625073Smooth (velvet)585553
Kite625050Maple tree473540
Blue584570Round453537
Red534547Moon423333
"} {"image_path": "images/a1f4c05091bf35ff1b2a2b875fdee71f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
${r_{g}(\\mu \\mathrm{m})}$${r_{v}(\\mu \\mathrm{m})}$σ$V_0\\ (10^6\\ \\text{cm}^3/\\text{cm}^2)$$\\omega_{0}(670 \\mathrm{~nm})$
Continental Aerosol
Water soluble*0.0050.1761.0903.0500.96
Dust-like0.50017.601.0907.3640.69
Soot0.01180.0500.6930.1050.16
Biomass Burning
Accumulation0.0610.1300.500$-2.4+45\\tau$0.90$\\dagger$
Coarse1.0-1.3$\\tau$$6.0–11.3\\tau+61\\tau^2$$0.69+0.81 \\tau$$2.4-6.3\\tau+37\\tau^{2}$0.84$\\dagger$
Industrial/Urban Aerosol
Accumulation 10.0360.1060.60 $-2.0+70\\tau-196\\tau^{2}+150\\tau^{3}$ 0.96
Accumulation 20.1140.2100.45$0.34-7.6 \\tau+80 \\tau^{2}-63 \\tau^{3}$0.97
Salt0.9901.3000.30$-0.16+4.12\\tau $0.92
Coarse0.6709.5000.941.920.88
Dust Aerosol
Dust background
mode 10.00100.00550.755$6.0 \\times 10^{-6}$0.015
mode 20.02181.2301.1601.00.95
mode 36.240021.500.6380.60.62
"} {"image_path": "images/fcf58372a257da4f7e3565e9ee48505e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
YearMark-recaptureDepletionComplete removalTotal
NCaughtUnmarkedMarkedUnmarkedMarkedCaught
1999141417375122172341964
2000192140334189--2474
2001191778346194--2124
"} {"image_path": "images/bf5aa284e18a40cbeb48829752ad1286.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
# Java# Byte code\\# ProbesProbe density# Variables
LocalStaticFieldArray-elements
Xerces52,528184,775177,9830.9627838893235,752
JTidy9,15333,06531,6760.96109127640,058591,690
JAligner3,19811,29610,8790.9612212302,309,753
JIU20,83274,73272,3660.9716810613226,391
Crypto75,792263,756253,2490.969316561,025,005
"} {"image_path": "images/8c062b5e12721db49e28d3224954d6f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 2 - Average monthly ratio of shadow area to half of lateral area the cardinal directions
0° - 180°
Half ofLateralArea $(m^2)$Mean of Shadow Area to half of Lateral Area ratioMean
21-Jan21-Feb21-Mar21-Apr21-May21-Jun21-Jul21-Aug21-Sep21-Oct21-Nov21-Dec
211.180.930.860.670.470.530.570.710.861.271.291.300.89
451.280.970.820.610.400.460.490.630.821.261.371.430.88
601.170.920.860.67 0.470.540.580.720.861.271.281.290.89
Mean1.210.940.850.650.450.510.550.690.851.271.311.340.88
90° - 270°
Half ofLateralArea $(m^2)$Mean of Shadow Area to half of Lateral Area ratioMean
21-Jan21-Feb21-Mar21-Apr21-May21-Jun21-Jul21-Aug21-Sep21-Oct21-Nov21-Dec
211.290.970.820.610.390.450.480.620.821.261.381.440.88
451.190.930.850.660.460.520.560.700.851.271.301.320.89
601.300.970.820.600.390.440.470.610.811.261.391.460.88
Mean1.260.960.830.620.410.470.500.640.831.261.361.410.88
"} {"image_path": "images/4e7e8b32ebd64e87c066d38b84d49e19.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Parameter$r_{a3,1}$$r_e$Restraint
$\\text{Independent}$
$p_{1}$rSe-B212.9(2)213.2-
$p_{2}$rB-B average180.19(7)179.9-
$p_{3}$rB-Bdifference 115.1(2)13.80.5
$p_{4}$rB-B difference 22.4(4)2.30.5
$p_{5}$rB-B difference 32.2(4)2.20.5
$p_{6}$rB-H mean118.0(2)118.9-
$p_{7}$∠B(12)-B(7)-H122.9(8)123.61.0
$p_{8}$∠Se-B(2)-H109.6(9)109.21.0
Dependent
$p_{9}$B(2)-B(3)192.2(2)190.9-
$p_{10}$B(2)-B(7)175.9(9)175.8-
$p_{11}$B(7)-B(8)179.0(3)178.8-
$p_{12}$B(7)-B(12)178.0(2)178.0-
"} {"image_path": "images/5cdc9737653317527302394797a49717.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample codeSubstrateFirst layer (in contact with the substrate)pH of DNA solutionpH of chitosan solution
GLASS-CHI-DNApH4Glass slideChitosan4.04.0
GLASS-DNApH4-CHIDNA4.04.0
Mix DNApH4-CHIMixture chitosan-DNA4.04.0
GLASS-CHI-DNApH8Chitosan8.04.0
GLASS-DNApH8-CHIDNA8.04.0
COT-CHI-DNApH4Cotton fabricChitosan4.04.0
COT-DNApH4-CHIDNA4.04.0
Mix DNApH4-CHIMixture chitosan-DNA4.04.0
LbL-DNA$Chitosan^a$7.03.5
LbL-CHI$Chitosan^b$7.03.5
"} {"image_path": "images/29b10562c6d845aa5a67d990f6f7c49e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StagePCR P24$(\\mathrm{ever}+)$EIAWesternblotMean waiting time estimates (days)
$DT-NPMLE^a$ Markov(95\\%$ CI)
Estimate $b_{2}, b_{3}$,and $b_{4}$$\\begin{array}{c}b_{2}, b_{3}, b_{4}=\\\\ \\text { uniform }\\end{array}$
8----57.0$^b$56.7$^b$ 55.8(37.5, 83.5)
2+---3.44.0 5.0(3.1, 8.1)
3++--9.28.2 5.3(3.7, 7.7)
4+++-3.83.0 3.2(2.1, 4.8)
5+++Indeterminate4.14.3 5.6(3.8, 8.1)
6+++ +(no p31 band)43.243.9 69.5(39.7, 121.7)
7++++$\\infty$$\\infty$$\\infty$-
"} {"image_path": "images/d317267860002bba576b209358689efa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RunUAE temperature$X_1(°C)$UAE time$X_2 (min)$Liquid-solid ratio$X_3 (ml:g)$Oil yield (%)
Experimentalvalues predictedvalues
140205:133.2032.02
250159:132.4531.05
340109:125.5626.74
430207:132.2532.03
530107:127.1027.09
630159:130.2529.08
740157:135.5835.70
840209:130.5531.94
950155:128.9530.11
1050107:127.5527.77
1140157:136.8835.70
1240105:127.9826.59
1350207:133.4533.46
1440157:136.2535.70
1530155:128.5529.95
1640157:133.9535.70
1740157:135.8535.70
"} {"image_path": "images/ea380d0598dcb5cc772137d7e9363e28.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
W${BaSO}_{4}$1.$50\\ K\\ min^{-1}$2. heating1.$5\\ K\\ min^{-1}$2. heating
heatingcrystall.heatingcrystall.
$T_{m}/$$T_{c}/$$T_{m1}/$$T_{m2}/$$T_{m}/$$T_{c}/$$T_{m1}/$$T_{m2}/$
KK
0.00433.6370.1428.0435.8433.6385.4430.3-
0.30432.6372.3427.6435.2432.6388.3430.0-
0.50432.6372.5427.8434.9432.9388.3430.4-
0.60432.9371.1427.7434.6432.1388.3430.3-
0.70432.9372.1426.8434.1432.8388.2429.9
_
"} {"image_path": "images/1e1abd5b2a3d75a18d128628d303bc3a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
YearLeaf yieldLeaf dry matterCrown yieldCrown dry matterRoot yieldRoot dry matter
g wet wt. plant ${ }^{-1}$%g wet wt. plant ${ }^{-1}$%g wet wt. plant ${ }^{-1}$%
1$ 66.0\\pm 7.5 $$ 32.7\\pm 0.8 $--28.4 ± 3.813.4 ± 0.3
281.1 ± 15.031.9 ± 2.225.0 $\\pm $4.9$29.8 \\pm 1.3$16.1 ± 1.7$ \\mathbf { 1 7 . 8 } \\pm \\mathbf { 1 . 0 } $
3113.3 $\\pm 3.7$$ 36.1 \\pm 1.1 $$ 44.5\\pm 2.6 $$ 22.4 \\pm 1.2 $$ 45.1\\pm 3.8 $$ \\quad 16.1\\pm 1.2 $
Dead leaves
338.1$\\pm 2.4$45.5 $\\pm 2.7$
"} {"image_path": "images/f42193fba22b1b5c87a5587e6236800e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Days of storageFormaldehydeAcetaldehyde
$\\mathrm{\\mu g\\ m^{-3}}$$\\mathrm{Average \\pm\\ SD}$$\\mathrm{\\mu g\\ m^{-3}}$$\\mathrm{Average \\pm\\ SD}$
0 11.6$\\mathrm{10.6 \\pm 0.9}$6.9$\\mathrm{5.8 \\pm 1.2}$
9.75.9
10.44.5
412.2$\\mathrm{10.9 \\pm 1.1}$6.1$\\mathrm{6.6 \\pm 2.2}$
10.48.9
10.24.6
1210.6$\\mathrm{10.1 \\pm 0.6}$6.3$\\mathrm{5.8 \\pm 0.5}$
10.35.3
9.35.7
"} {"image_path": "images/87e59212746102f8d229cb17887ab6f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StepNTwist, degTilt, degRoll, degShift,$\\overset{o}{\\text{A}}$Slide,$\\overset{o}{\\text{A}}$Rise,$\\overset{o}{\\text{A}}$
CG8836.1(5.5)0(4.2)5.4(5.2)0(0.87)0.41(0.56)3.39(0.27)
CA11037.3(6.5)0.5(3.7)4.7(5.1)0.09(0.55)0.53(0.89)3.33(0.26)
TA13437.8(5.5)0(2.7)3.3(6.6)0(0.52)0.05(0.71)3.42(0.24)
AG10631.9(4.5)-1.7(3.3)4.5(3.4)0.09(0.69)-0.25(0.41)3.34(0.23)
GG9732.9(5.2)-0.1(3.7)3.6(4.5)0.05(0.76)-0.22(0.64)3.42(0.24)
AA12935.1(3.9)-1.4(3.3)0.7(5.4)-0.03(0.57)-0.08(0.45)3.27(0.22)
GA11736.3(4.4)-1.5(3.8)1.9(5.3)-0.28(0.46)0.09(0.70)3.37(0.26)
AT14029.3(4.5)0(2.5)1.1(4.9)0(0.57)-0.59(0.31)3.31(0.21)
AC13731.5(4.2)-0.1(3.1)0.7(3.9)0.13(0.59)-0.58(0.41)3.36(0.23)
GC8633.6(4.7)0(3.9)0.3(4.6)0(0.61)-0.38(0.56)3.40(0.24)
$\\text{MN}^{\\dagger}$
$\\text{P·DNA}^{\\ddagger}$1,84034.2(5.5)0(3.6)2.7(5.2)0(0.64)-0.09(0.69)3.36(0.25)
$\\text{P}'\\cdot\\text{DNA}^{\\S}$2,11433.2(6.6)0(4.0)4.0(9.3)0(0.65)-0.05(0.77)3.41(0.47)
$\\text{B-DNA}^{\\S}$72435.4(6.3)0(3.4)1.4(5.1)0(0.51)0.35(0.78)3.32(0.19)
"} {"image_path": "images/cee5d9ee23949b4f88de74ad71968a51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目名称川财社 (2022) 18 号福利彩票公益金
主管部门及代码313-江油市民政局实施单位江油市民政局
项目资金使用情况(10分)资金来源全年预算数调整后预算数全年执行数预算执行率分值自评得分原因
年度资金总额(万元)0.008.006.000.7510.007.5预算执行率较低原因:受疫情影响,项目执行进度缓慢,部分资金未支付。。预算调整(调整/调减)原因:年中正常追加预算。
其中:中央、省补助0.000.000.000.00//
市级财政资金0.000.000.000.00//
县级财政资金0.000.000.000.00//
其他资金0.008.006.000.75//
年度总体目标预期目标实际完成情况
支持构建五级联动社会组织孵化体系建设,助力基层社会治理能力水平提升根据相关文件要求,完成了五级联动社会组织孵化体系建设工作,投入经费 8 万元,有助于基层社会治理能力水平提升。
决策与过程指标(100分)一级指标二级指标三级指标指标值完成值分值得分计算过程及得分依据
决策(34分)项目立项依据充分性充分充分1010根据佐证材料,项目设立依据充分。
程序规范性规范规范66根据佐证材料,项目申请、设立过程符合相关要求。
目标设置绩效目标合理性合理合理55根据绩效目标管理办法,项目绩效目标符合客观实际、与项目实际相符。
绩效指标明确性明确明确66根据绩效目标管理办法,依据绩效目标设定的绩效指标清晰、细化、可衡量。
"} {"image_path": "images/1509b8c240b1aa4152a5708484423072.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1. D2. C3. E4. A5. A6. C7. D8. B9. D10. B
11. B12. A13. D14. B15. C16. B17. A18. E 19. C20. C
21. C22. A23. C24. B25. E26. A27. A 28. D29. B30. D
31. B32. C33. C 34. C35. E36. B37. C38. C39. B40. C
41. E42. B43. D44. D
"} {"image_path": "images/3a8f88f4e65f5baae081e419928fcf21.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学生本人基本情况姓 名性 别出生年月民 族
身份证号码政治面貌入学前户口□城镇 □农村
家庭人口数毕业学校个人特长
孤残□是□否单 亲□是□否烈士子女□是□否
家庭通讯信息详细通讯地址
邮政编码联系电话(区号) -
家庭成员情况姓名年龄与学生关系工作(学习)单位职业年收入(元)健康状况
影响家庭经济状况有关信息家庭人均年收入______( 元)。学生本学年已获资助情况_______________________________________________________________________。
家庭遭受自然灾害情况:___。家庭遭受突发意外事件:___。家庭成员因残疾、年迈而劳动能力弱情况:___。家庭成员失业情况:___。家庭欠债情况:___。其他情况:___。
签章学生本人学生家长或监护人学生家庭所在地乡镇或街道民政部门经办人签字:单位名称:(加盖公章)_年_月_日
民政部门信息详细通讯地址
邮政编码联系电话(区号) -
"} {"image_path": "images/cc28bc7746e0481bf0fec4959ef51979.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名稱 :中文名稱 :高一下數學充實
英文名稱 :Math Reinforce
授課年段 :一下
內容屬性 :充實 / 增廣
師資來源 :校內單科
學習目標 :進一步了解課內教材 #
教學大綱 :週次/序單元/ 主題內容綱要
數列數列 # 等差數列 # 等比數列
遞迴關係遞迴關係
級數等差級數 # 等比級數 # 平方和公式 # 立方和公式
計數原理窮舉法 # 樹狀圖 # 加法原理 # 乘法原理 # 取捨原理
排列直線排列 # 有相同物排列 # 重複排列
組合組合
二項式定理二項式定理
古典機率古典機率 # 機率的性質 .
數學期望值數學期望值
一維數據分析代表數據的數 # 百分位數與四分位數 # 標準差
十一二維數據分析散布圖 # 相關係數
十二二維數據分析最小平分法與迴歸直線
十三直角三角形的三角比銳角三角比的定義 # 基本性質 # 應用
十四廣義角三角比廣義角三角比的定義 # 基本性質
十五廣義角三角比廣義角三角比的換算關係 # 極座標
十六三角比的性質正弦定理
十七三角比的性質餘弦定理
十八三角比的性質三角形面積公式
十九
二十
二十一
二十二
備註 :學生依據學習歷程及學群需求 # 自由跑班選擇 # 同時段亦可選擇自主學習 #
"} {"image_path": "images/c7d73b0efe28fedb0c2bda23503be522.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
变 性 特 征地基土类型
中、低压缩性土高压缩性土
砌体承重结构基础的局部倾斜0.0020.003
工业与民用建筑相邻柱基的沉降差框架结构0.002l 0. 003l
砌体墙填充的边排柱0.0007l0.001l
当基础不均匀沉降时不产生附加应力的结构0.005l0. 005l
单排排架结构(柱距为6m)柱基的沉降量(mm)(120)200
桥式吊车轨面的倾斜(按不调整轨道考虑)纵向横向0.0040.003
多层和高层建筑的整体倾斜 $H_g≤24$0.004
24<$H_g$≤600.003
60<$H_g$≤1000.0025
$H_g$>1000.002
体型简单的高层建筑基础的平均沉降量(mm)200
"} {"image_path": "images/f3a02bfd328051d9b53bf0188f03258c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reactiontime(min)$D_{\\mathfrak{p}}$$(\\mu\\mathrm{m})$$\\Delta\\,D_{\\mathfrak{p}}$$\\rho$$(\\mathrm{g/mL})^\\mathrm{a}$$\\Delta\\,\\rho$$\\text{SOA}_{\\mathrm{aq}}$yield$\\Delta \\\\\\mathrm{SOA_{aq}} \\\\\\mathrm{yield}$
$0^b$0.640.04
100.530.031.30.11.20.1
200.540.041.30.10.80.1
400.540.011.40.40.60.2
500.530.041.50.50.60.3
700.500.051.60.30.50.2
"} {"image_path": "images/1a07d18fbc7bc7df7f7d4027dfd6a1e7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reaction typeReactionReactionnumberAC$\\log k_{298}$Reference
Reactions of $\\mathrm{HC} 2$$ \\mathrm{HC} 2+\\mathrm{O} \\rightarrow \\mathrm{RO}_{2}+\\mathrm{HO} $Q184.1 E-1120000.5T,M
$\\mathrm{HC} 2+\\mathrm{HO}\\rightarrow\\mathrm{RO}_{2}+\\mathrm{H}_{2}\\mathrm{O}$ Q194.0 E-119000.3T,M
Reactions of $\\mathrm{HC} 4$ $\\mathrm{HC} 4+\\mathrm{HO}\\rightarrow\\mathrm{RCO}_{3}+\\mathrm{H}_{2}\\mathrm{O}$ Q203.0 E-113500.3T,M
$\\mathrm{HC} 4+\\mathrm{O}\\rightarrow\\mathrm{HO}+\\mathrm{HO}_{2}+\\mathrm{CO}$ Q304.0 E-129000.5T,M
$\\mathrm{HC} 4+\\mathrm{HO}_{2} \\rightarrow \\mathrm{H}_{2} \\mathrm{O}_{2}+\\mathrm{RCO}_{3}$Q318.0 E-1337000.8T,M
$ \\mathrm{HC} 4+\\mathrm{RO}_{2} \\rightarrow \\mathrm{ROOH}+\\mathrm{RCO}_{3} $Q328.0 E-1337500.8T,M
$\\mathrm{HC} 4+\\mathrm{NO}_{3} \\rightarrow \\mathrm{HNO}_{2}+\\mathrm{RCO}_{3}$Q353.0 E-159000.5T,M
$ \\mathrm{HC} 4+\\mathrm{HO} \\rightarrow \\mathrm{CO}+\\mathrm{HO}_{2}+\\mathrm{H}_{2} \\mathrm{O} $Q373.0 E--113500.3T,M
$\\text{HC4} + \\text{NO}_3 \\rightarrow \\text{CO} + \\text{HNO}_3$$+ \\text{HO}_2$Q383.0 E-156500.5T,M
Reactions of NOz and organicfree radicals $\\mathrm{RO}_{2}+\\mathrm{NO}\\rightarrow\\mathrm{RO}+\\mathrm{NO}_{2}$ Q21*3.3 E-123001T,M
$\\text{RCO}_3 + \\text{NO} \\rightarrow \\text{RO}_2$$+ \\text{NO}_2 + \\text{CO}_2$Q22*6.5 E-126001T
$ RCO_{3}+NO_{2}\\rightarrow PAN $Q232.95E-1401T
$ RO+NO_{2}\\rightarrow RNO_{3} $Q255.0 E--1401T
RO+NO→$\\mathrm{RNO}_{2}$Q265.0 E-1401T
Other organic radical reactions $\\mathrm{RO}+\\mathrm{O}_{2}\\rightarrow\\mathrm{HO}_{2}+\\mathrm{HC} 4$ Q24*1.6 E-1333001T
$ RO_{2}+HO_{2}\\rightarrow RO+HO+O_{2} $Q28*6.7 E-1401T
$ RO_2+RO_2\\rightarrow 2RO+O_2 $Q296.7 E-1401T
"} {"image_path": "images/68ce4d91d44caaffb9e108a9d1f42616.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesDefinitionPrior StudiesExpected Sign
Dependent variables
DP ratioAnnual dividend payout divided by netprofit after taxHarada and Nguyen (2011)Ting et al. (2017)
DTA ratioAnnual dividend divided by total assetsGonzalez et al. (2017)
DTE ratioAnnual dividend divided by book valueof equityGonzalez et al. (2017)
Explanatory variables
HOCISum of squared ownership percentagesof shareholding of the promoter groupand of all outside shareholders holding1% or more sharesGonzalez et al. (2017)+/-
PHPercentage shareholding ofpromoter groupPeculiar to India, notstudied earlier+/-
SLSHPercentage shareholding of the largestshareholder outside the promoter groupGonzalez et al. (2017)+/-
SLSIt is a dummy variable that takes valueof I if second largest shareholder is anindividual and 0 otherwiseGonzalez et al. (2017)+/-
SLSIIt is a dummy variable that takes valueof I if second largest shareholder is afinancial company and 0 otherwise+/-
Control variables
SZNatural logarithm of total assetsThanatawee (2013)+
Profitability (ROCE)Ratio of operating profits to totallong-term funds.Gonzalez et al. (2017)+
LEVRatio of debt to the total assetsGonzalez et al. (2017)Thanatawee (2013)-
MB ratioRatio of the market value of equityto the book value of equityThanatawee (2013)-
FCFFCFs reflect funds available fordistribution to financial stakeholders.FCF is scaled by value of total assetsJensen (1986), Denis, Denis,and Sarin (1994), Adelegan(2003)+
"} {"image_path": "images/04d02be215d19498d67ff8fcaa1617a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesImplementedNot-Implemented
Direct EffectIndirect EffectTotal EffectDirect EffectIndirect EffectTotal Effect
POP0.1409***6.9629***7.1038***0.1235***7.3411***7.4646***
OLD-0.0003-0.0155-0.0158-0.0031***-0.1836***-0.1867***
FARM-0.0010-0.0511-0.05220.0010***0.0579***0.0589***
AGSALE0.02571.26791.29350.0435***2.5856***2.6291***
AGLAND0.0030***0.1491***0.1521***0.0018***0.1064***0.1082***
TYPE10.0009*0.0461*0.0470*0.0006***0.033***0.0335***
TYPE20.00040.02070.02110.0005**0.0296**0.0300**
"} {"image_path": "images/99c31e1b3d205213077e40cd8ae816cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
basis setmethodcistrans
cc-pVDZB3LYP216378
MP22318100
$\\mathrm{CCSD(T)}//\\mathrm{MP2}^{b}$2286127
CCSD(T)2284125
aug-cc-pVDZB3LYP2074114
MP22234140
CCSD(T)//MP22177185
CCSD(T)2176184
cc-pVTZB3LYP2060137
MP22114117
MP3//MP22069185
MP4(SDQ)//MP22122162
MP4(SDTQ)//MP22051154
CCSD//MP22126166
CCSD(T)//MP22061160
aug-cc-pVTZB3LYP2009111
MP22080100
MP3//MP22033176
MP4(SDQ)//MP22087146
MP4(SDTQ)//MP22014123
CCSD//MP22068131
CCSD(T)//MP22024136
cc-pVQZB3LYP2034138
MP2//MP2/cc-pVTZ2083104
MP3//MP2/cc-pVTZ2038175
MP4(SDQ)//MP2/cc-pVTZ2093150
aug-cc-pVQZMP2//MP2/cc-pVTZ206295
MP3//MP2/cc-pVTZ2022172
MP4(SDQ)//MP2/cc-pVTZ2074142
experiment-$172.5^{c}$
"} {"image_path": "images/09b877ab6129d3a604af34d5f9ac3fc9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Per 100
SedumAcre7.00
Spectabile7.00
Spectabile, brilliant 7.00
SolidagoGolden Rod6.00
SpireaFilipendula, 2 yr6.00
Ulmaria, 2 yr6.00
StachysLanata, 2 yr5.00
StaticeLatifolia7.00
Tatarica7.00
StokesiaCyanea6.00
Cyanea alba6.00
ThalictrumAdiantifolia, 2 yr6.00
Aquilegifolium, 2 yr 10.00
Glaucum, 2 yr 10.00
Minus, 2 yr5.00
VeronicaAmethystina7.00
Spicta, 2 yr6.00
VincaMinor6.00
Viola OdorataSemperflorens6.00
YuccaFilamentosa, 3 yr 8.00
Glauca, American native yucca,2 yr 8.00
"} {"image_path": "images/d338264483e62cd433f4bc07a41ad3d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableDifference of L1 and L2 deviance
Condom negotiation efficacy
T239.581333***
T39.259789
Condom self-efficacy
T212.542881*
T312.337558*
Refusal self-efficacy
T240.816369***
T313.420831**
Attitudes: waiting to have sex
T232.727875***
T320.285902***
Communication with parents
T212.621023*
T34.712467
Knowledge
T273.442208***
T337.811617***
Intentions to have sex
T224.418429***
T325.97111***
"} {"image_path": "images/55206b26904fdf92523738d37bf36ba5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Materials properties and thickness
LayersThermalconductivity/W $m^{-1} ~K{-1}$Heatcapacity/J $kg^{-1}~K^{-1}$Density/kg $m^{-3}$Thickness
Au$200^{17}$$129^{18}$19 $300^{19}$50 nm
$MOS_2$...$398^6$5 $000^6$1 mm
h-BN...$810^{20}$2 $200^{21}$~20 $\\mu m$
HOPG...$723^6$2 $240^6$2 mm
Characteristics of the pump pulse
Pulse width h/nsTime of the pulsereachingmaximum $t_m/ns$Amplitude of the heatabsorbed by theAu transducer $q_0$/mW$1/e^2$ radius of theGuassian pumpbeam $w_o$/$\\mu m$
10 (FWHM)9.55 × (1-R) ~3.3(Au reflectivity R~0.35 at 355 nm)41
"} {"image_path": "images/ec9c9e53d9361e4cfa5a2545aaa08fc3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DatamomentStandarddeviationEstimated model(Table 3,diagonal matrix)RE version estimated(Table 3, diagonalmatrix) Estimated modelwith supply shocks
Momentt-ratioMomentt-ratioMomentt-ratio
Standard deviationrisk-free rate1.110.240.83-1.160.62-2.040.62-2.05
Autocorrelations
Excess stock return0.120.0460.539.080.334.780.120.18
Stock return0.130.0450.549.210.04-1.870.140.37
"} {"image_path": "images/4e5134a8001370097e469a7846d6d662.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
等级IIIIVV
溶液号数aabbccdde
色谱柱中染料位置上层下层乙甲丙乙丁丙戊丁己戊
洗脱出的溶液
氧化铝的含水量0%3%6%10%15%
"} {"image_path": "images/38d6b97130511b1c61709bc29a9cb7d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AuthorCorrelationType oftower/packingDesiccantRange of validity
Al-Farayedhiet al. [51]$F_{\\text{G}}a = 0.55\\left( \\frac{U_{\\text{G}}}{\\varphi(1 - H_{\\text{tot}})\\sin\\theta} \\right)^{0.79} \\left( \\frac{U_{\\text{L}}}{\\varphi H_{\\text{tot}}\\sin\\theta} \\right)^{0.1} \\exp(-0.0293T_{\\text{G}})$ Gauge typestructured packingLiCl,CaCl$_2$CELD
Chunget al. [28]$Sh_{\\text{G}} = 1.326 \\times 10^{-4} Re_{\\text{G}}^{1.16} Sc_{\\text{G}}^{0.333} \\left( \\frac{L}{G} \\right)^{1.15} (1 - X)^{-0.94}$RandomLiCl
$Sh_{\\text{G}} = 2.25 \\times 10^{-4} Re_{\\text{G}}^{1.0} Sc_{\\text{G}}^{0.333} \\left( \\frac{L}{G} \\right)^{0.1} (1 - X)^{-0.75}$Cross corrugatedstructured packingLiCl
Chung andWu [24]$Sh_{\\text{G}} = 4.0 \\times 10^{-5} Re_{\\text{G}}^{1.73} Sc_{\\text{G}}^{0.33} \\left( \\frac{P_{\\text{s}}}{P_{\\text{total}}} \\right)^{-0.5} \\left( \\frac{L}{G} \\right)^{1.15}$Spray towerwith fin coilsTEG2.17 < L (kg/min) < 3.311.94 < G (kg/min) < 3.77
$Sh_{\\text{G}} = 2.0 \\times 10^{-5} Re_{\\text{G}}^{1.74} Sc_{\\text{G}}^{0.333} \\left( \\frac{P_{\\text{s}}}{P_{\\text{total}}} \\right)^{-0.51} \\left( \\frac{L}{G} \\right)^{1.05}$Spray towerwithout fin coilsTEG20 ℃ < TG < 30 ℃20 ℃ < TL < 30 ℃
Elsarraget al. [32]$Sh_{\\text{G}} = 6.18 \\times 10^{-6} Re_{\\text{G}}^{1.3} Sc_{\\text{G}}^{0.333} \\left( 1 - \\frac{P_{\\text{s}}}{P_{\\text{w}}} \\right)^{-0.77} \\left( \\frac{L}{G} \\right)^{0.55}$Cross corrugatedstructured packingTEG0.88 < L/G < 1.919,900 < Re$G$< 43,0000.35<$P_s$/$P_w$<0.63
$Sh_{\\text{G}} = 0.52 Re_{\\text{G}}^{0.2} Sc_{\\text{G}}^{0.333} \\left( 1 - \\frac{P_{\\text{s}}}{P_{\\text{w}}} \\right)^{-0.48}$Cross corrugatedstructured packingTEG2 < L/G < 117500 < Re$_G$ < 66,2000.22 < $P_s$/$P_w$ < 0.63
Ondaet al. [63]$\\frac{k_{\\text{G}}RT_{\\text{a}}}{aD_{\\text{v}}} = 5.23\\left( \\frac{G}{a×\\mu_{\\text{a}}} \\right)^{0.7} Sc_{\\text{G}}^{1/3} \\left( a \\times d_{\\text{e}} \\right)^{-2.0}$Random packings
"} {"image_path": "images/7bd5cc86cb92cd589f16e2514d3413bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NamePartySexAgeVotesPcntElected
JOHN KWAME AWUKU DZUAZAHNDCM316,50321.63%$\\square$
FRANK BOAKYE AGYENNPPM6622,90076.16%$\\boxed{\\checkmark}$
LOVIA BERKOHPNCF462240.74%$\\square$
MILLICENT OSEICPPF402310.77%$\\square$
JOSEPH AFRIYIENDPM392100.70%$\\square$
Valid Votes 30,068Rejected Votes 282Total Votes Cast 30,350 Turn-Out 89.12%
"} {"image_path": "images/73457581eae142a78dda9327c052ab4c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DogWeight(kg)Distance tocarina (cm)$\\begin{array}{c}{P_{L}}\\\\{\\mathrm{(cm~H_{2}O)}}\\end{array}$$\\begin{array}{c}f_1\\\\(\\mathrm{Hz})\\end{array}$$\\begin{array}{c}f_2\\\\(\\mathbf{H}\\mathbf{z})\\end{array}$$\\begin{array}{c}f_3\\\\(\\mathbf{H}\\mathbf{z})\\end{array}$
a93.55190035004800
10190024005300
20110020003100
3011003000
b124.55120024004400
10120024005600
2093022006500
3088021006500
c154.55140027003800
10150026004000
2084024004200
3085022004200
d16.5NR584019003000
1084018003000
2080017003000
3076016503000
e1912533010001550
1040015502300
2047012002300
3047012002300
f23.5NR570016002600
1064015502600
2056014002600
3050014002600
"} {"image_path": "images/b1e00f0118ee5126de694690f85a9076.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ele-mentVariation coefficient (%) in the measurements
$I_{i}$$I_i/I_{\\mathrm{ph}}$
$V_{\\mathrm{TE}}$$V_I$$V_{Pr}$$V_{\\Sigma}$$V_{TE}$$V_I$$V_{Pr}$$V_{\\Sigma}$
Zn2.04.9ei*5.31.91.9ei2.7
Pb2.06.6ei6.92.62.8ei3.8
Ni1.04.9ei5.03.0eiei3.0
Fe3.44.6ei5.74.8eiei4.8
Cr3.65.2ei6.35.6eiei5.6
"} {"image_path": "images/ea483d43b1db43c5b07854c898041803.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月 份22,233,39910,739,2001,095,6005,513,3142,789,2502,096,03522,233,39921,140,7991,092,600
月 份21,947,70510,521,6001,102,2005,482,4042,735,1342,10636 721,947,70520,772,3051,175,400
月 份22,474,55011,604,0001,089,3005,072,4832,755,9371,961,83022,474,55021,443,1501,031,400
月 份22,840,50510,853,6001,105,9005,638,6883,056,1532,186,16422,840,50521,666,9051,173,600
月 份23,661,60312,196,8001,123,9004,959,9393,173,2102,207,75423,661,60322,723,803937,800
月 份23,507,14512,480,8001,104,6004,362,1523,463,2002,106,39323,507,14522,458,5451,038,600
月 份26,042,00114,002,4001,120,2004,620,6913,940,0952,358,61526,042,00124,729,8011,312,200
十 一 月 份26,879,19915,491,2001,106,5003,832,5053,999,3252,429,66926,879,19925,734,1991,125,000
十 二月 份28,495,60216,166,4001,105,5004,918,4294,154,3182,150,95527,758,65226,351,0521,407,600
"} {"image_path": "images/fed1bca2daa49186a2127b8290e1bb84.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
引发剂浓度$\\text{处理时间}~/\\mathrm{d} $ 第25天地表株高 /cm 第50天地表株高 /cm 第75天地表株高 /cm成活率 /%均匀度
PEG-400010%1$1.13 \\pm 0.00$$1.78 \\pm 0.00$$2.16 \\pm 0.00$9.09不均匀
2$1.66 \\pm 0.31$$2.258 \\pm 0.31$$2.64 \\pm 0.35$50.00均匀
3$2.97 \\pm 1.12$ $3.62\\pm 1.10$ $4.05 \\pm 1.08$82.35均匀
20%1$2.12 \\pm 0.71$$2.72 \\pm 0.64$$3.15 \\pm 0.61$68.00均匀
2$2.05 \\pm 0.27$$2.66 \\pm 0.30$$3.10 \\pm 0.29$71.43均匀
3$1.75 \\pm 0.48$$2.47 \\pm 0.42 $$2.90 \\pm 0.43$62.50中等
30%1$2.02 \\pm 0.18$$2.76 \\pm 0.09$$3.20 \\pm 0.09$48.28均匀
2$2.52 \\pm 0.40$$3.23 \\pm 0.35$$3.31 \\pm 0.23$67.74均匀
3$2.79 \\pm 1.12$$3.65 \\pm 1.09$$4.10 \\pm 1.01$92.31均匀
100mg/L1$2.13\\pm 0.24$$2.83 \\pm 0.23$$3.43 \\pm 0.25$52.38均匀
2$3.17 \\pm 1.00$$3.96 \\pm 0.10$$4.45 \\pm 0.96$69.67不均匀
3$1.93 \\pm 0.79$$2.62 \\pm 0.83$$3.11 \\pm 0.79$51.00均匀
GA 200mg/L1$1.49 \\pm 0.17$$2.25 \\pm 0.09$$2.69 \\pm 0.13$30.00均匀
2$1.81 \\pm 0.12$$2.45 \\pm 0.14$$2.94 \\pm 0.21$16.00均匀
3$2.72 \\pm 2.26$$3.56 \\pm 1.95$$4.00\\pm 1.85$11.76不均匀
300mg/L1$2.21 \\pm 0.25$$2.83 \\pm 0.20$$3.31 \\pm 0.23$33.33均匀
2$2.07 \\pm 0.46$$2.91 \\pm 0.50$$3.24\\pm 0.45$27.27中等
3$2.65 \\pm 1.66$$3.42 \\pm 1.67$$3.80 \\pm 1.61$43.75均匀
对照组1$1.36 \\pm 0.00$$2.23 \\pm 0.00$$2.67\\pm 0.00$6.77不均匀
2$ 2.13 \\pm 0.15 $$2.62 \\pm 0.15$$3.03 \\pm 0.17$40.00均匀
3$1.77 \\pm 0.52$$2.62 \\pm 0.58$$3.09 \\pm 0.57$46.15均匀
"} {"image_path": "images/b457ea997b3dc0d33424a2a5262730c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EnvironmentNear-isogenicline (NIL)Percent of NILin generationRegression$coefficient^{a}$
01234
Rust-freeCI 91922218161410-2.80**
CI 91831823191914-1.20
CI 918420223126384.00
CI 91902123212420-0.10
CI 919119141317180.10
RustedCI 91922219191415-1.90*
CI 918318201917220.50
CI 918420222528282.20**
CI 91902123252419-0.30
CI 91911916121716-0.50
"} {"image_path": "images/f1c548a79dd1ee2b76f1b2f2cf7bf590.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
References
${\\mathrm{CD}(c f. also [48,49,277])}$
β-CD[48,51]
$Hydroxyethyl- and -propy1- \\beta-CD$[48,51,278-281]
$Heptakis-2,6-di- O-methy1- \\beta-CD$[48,51]
$heptakis-2,3,6-tri- O-methy1- \\beta-CD$[48]
$Other \\beta-\\mathrm{CD} derivatives$[48]
$\\beta-CD polymer$[48,282]
$\\mathrm{\\gamma -CDs}$[30,48,51,283,284]
$Hydroxypropyl-\\mathrm{\\gamma -CD}$[48]
$Heptakis-2,6-di- O-methyl- \\gamma-CD$[48]
α-CDs[30,48,51]
$Heptakis-2,3,6-tri- O-methyl- \\alpha-CD$[48]
$Hydroxypropyl- \\alpha-CD$[48]
$6-Monodesoxy-6-monoamino- \\beta-CD$[51]
$6^{A} Methylamino- \\beta-CD$[48]
$\\beta-CD phosphate$[48]
$\\beta-CD sulfobutylether$ $\\left[48,192,285-288,289^{a)}\\right]$
$\\gamma -CD sulfobutylether$[48]
$Sulfated \\beta-CD$[48]
$\\begin{split}$$$$\\text{Carboxymethylated, -ethylated and} \\\\$$$$\\text{succinylated } \\beta\\text{-CD}$$$$\\end{split}$[48,51,201,290]
Noncyclic saccharides (general reviews: [291,292])
Noncyclic oligosaccharides[293, 294]
Maltodextrin oligosaccarides$[295]^{\\mathbf{b})}$
Heparin[296,297]
Carboxymethyl amylose sodium salt[298]
Methyl- and hydroxypropylcellulose[298]
Amyloses, laminaran, pullulan[298]
"} {"image_path": "images/4c51f86d9c5131103246346492defae9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SourceSSdfMSF
Between juices4 × 7.715 = 30.865 - 1 = 40.913 × 8.45 = 7.7158.45
Within juices25 × 0.913 = 22.82530 - 5 = 250.913
Total30.86 + 22.82 = 50.6830 - 1 = 29
"} {"image_path": "images/6932f50f03b3197ab47456107e4704b4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
d4568101216202430
D78.51012.5151824303642
H4568101216202430
S345681012141719
t22.534568101215
$d_2$4568101216202430
r≤0.40.50.60.81
$D_2$3.54.65.86.99.211.513.816.219.622
$D_1$456.37.59.81214.51720.524
c0.30.51
L最小8101216202530405060
最大40506080100120160200200200
"} {"image_path": "images/e2b40fd929e72d9e6ec07118c0b1296a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Aqueous phasePolymer phase $(i=1,2 ; j=1,2)$
Re-InitiationRe-Initiation
$G^{\\bullet w}+M_{1}^{w} \\xrightarrow{k_{p G 1}^{w}} S_{1,1}^{w}+G^{w}$(24a)$G^{\\bullet p}+M_{1}^{p} \\xrightarrow{k_{p G 1}^{w}} L_{1}^{p}+G^{p}$(24b)
$G^{\\bullet w}+M_{2}^{w} \\xrightarrow{k_{p G 2}^{w}} S_{2,1}^{w}+G^{w}$(25a)$G^{\\bullet p}+M_{2}^{p} \\xrightarrow{k_{p G 2}^{w}} L_{2}^{p}+G^{p}$(25b)
Transfer between phases
$S_{x,n}^{w} \\xrightarrow{precip.} L_{3}^{p}$(26)
$\\left.P D B_{e}^{w}, C^{w}, X^{w} \\xrightarrow{\\text { precip. }} P D B_{e}^{p}, C^{p}, X^{p}\\right.$(27)
$M_{1}^{w} \\stackrel{\\Phi_{M1}}{\\rightleftarrows}M_{1}^{p}$(28)
$M_{2}^{w} \\stackrel{\\Phi_{M2}}{\\rightleftarrows}M_{2}^{p}$(29)
$ H_{2}O^{w}\\stackrel{\\Phi_{H_{2} O}}{\\rightleftarrows} H_{2}O^{p} $(30)
$G^{w} \\stackrel{\\Phi_{G}}{\\rightleftarrows} G^{p}$(31)
$PDB^W_{acc} \\stackrel{\\Phi_{PDB}}{\\rightleftarrows} PDB^p_{eff}$(32)
"} {"image_path": "images/a332feee6867864dd21a92b5769fbb00.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
season$ \\chi_3^{\\text{w}}(\\text{NH}) $$ \\chi_3^{\\text{w}}(\\text{SH}) $
UKMOECMWFUKMOECMWF
values of $R^{2}$
WI86-70.410.600.730.81
SP870.680.640.620.73
SU870.800.820.360.52
AU870.470.590.450.48
WI87-80.610.620.560.71
SP880.750.760.660.84
SU880.830.820.650.66
AU880.680.680.690.82
values of G
WI86-71.251.160.660.76
SP870.590.810.700.68
SU870.720.861.141.23
AU870.920.830.730.86
WI87-80.940.960.590.97
SP880.700.890.590.73
SU880.730.680.770.89
AU880.991.160.870.89
values of $10^{9}B$
WI86-7-0.69-0.63-0.330.26
SP87-0.890.04-0.050.14
SU87-0.84-0.110.290.32
AU870.31-0.220.120.23
WI87-80.19-0.370.080.13
SP88-0.450.330.420.82
SU88-0.83-0.130.550.69
AU88-0.34-0.10-0.050.22
"} {"image_path": "images/846dd4dc80179afcbf71ff2f88c56cec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
k$N_{\\mathbb{R}}$A$\\mu MTBF$
(a)$Approximate system,N\\lambda/\\mu=1$
230.908225·001
40.97677$ 1.586\\times 10^{1} $
50.99502$ 4\\cdot 904\\times 10 $
60.99913$ 2\\cdot 522\\times 10^{2} $
70.99987$ 1\\cdot 277\\times 10^{3} $
8$0.99998$$ 9.092\\times 10^{3} $
350.96721$1.012 \\times 10^{1}$
60.99314$ 4\\cdot 185\\times 10^{1} $
70.99857$ 1.840\\times 10^{2} $
80.99976$ 7\\cdot 106\\times 10^{2} $
90.99996$5 \\cdot 021 \\times 10^{3}$
47 0.98736$2 \\cdot 024 \\times 10^{1}$
80.99777$ 1.028\\times 10^{2} $
90.99959$ 5\\cdot 482\\times 10^{2} $
100.99993$3 \\cdot 011 \\times 10^{3}$
590.99482$3 \\cdot 962 \\times 10^{1}$
100·99921$2 \\cdot 400 \\times 10^{2}$
110.99987$ 1 \\cdot 509 \\times 10^{3} $
120.99998$9 \\cdot 721 \\times 10^{3}$
"} {"image_path": "images/0c6ef80b67db9557b19a95216ab2fee3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
cK${1-\\lambda_{K-1}}$$E_K$
1.0189.745
2.2504.982
3.7564.934
2 15.725e-05.509
22.438e-03.734
34.061e-02.900
4.2783.992
5.7253.955
3 11.348e-07.412
29.245e-06.595
33.850e-04.731
45.086e-03.844
55.386e-02.939
4 12.946e-10.356
22.768e-08.515
31.210e-06.632
44.245e-05.730
55.899e-04.814
67.496e-03.890
"} {"image_path": "images/c274fe94dac60d64e90ade690feb6598.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Parameters
$\\sigma(\\times10^{-2})$$\\lambda $$\\beta\\left(\\times 10^{-2}\\right)$a
True values38.000.000.000.00
ExactMean (SD)37.83(0.79)7.48(7.02)1.21(0.80)35.59(20.03)
Approx (6)Mean (SD)38.02(0.64)0.22(1.26)4.79(1.64)11.20(9.68)
Approx (5)Mean (SD)37.97(0.69)1.14(4.50)4.33(1.78)54.36(46.46)
Approx (4)Mean (SD)37.97(0.67)1.00(4.01)4.60(1.68)51.39(48.17)
True values20.0010.0010.000.00
ExactMean (SD)21.38(4.79)11.78(4.19)9.05(1.45)4.07(5.56)
Approx (6)Mean (SD)27.25(3.23)5.57(2.22)10.99(1.73)5.76(7.67)
Approx (5)Mean (SD)26.71(4.19)6.27(3.50)11.16(2.47)7.87(13.15)
Approx (4)Mean (SD)26.35(4.17)6.39(3.45)11.00(2.10)12.45(19.38)
True values20.0010.0010.0050.00
ExactMean (SD)19.90(3.92)11.93(3.44)10.14(1.50)67.41(20.30)
Approx (6)Mean (SD)28.27(3.04)6.31(2.46)10.62(1.75)55.24(16.30)
Approx (5)Mean (SD)27.81(3.22)6.72(2.74)10.52(1.60)62.89(17.01)
Approx (4)Mean (SD)27.89(3.28)6.56(2.70)10.64(1.64)76.55(30.47)
True values20.0010.0010.00100.00
ExactMean (SD)14.83(4.43)15.99(3.99)10.07(1.60)115.42(30.16)
Approx (6)Mean (SD)29.46(3.04)6.58(2.28)10.43(1.48)65.96(18.60)
Approx (5)Mean (SD)29.76(3.65)6.30(2.97)10.86(1.80)111.94(43.05)
Approx (4)Mean (SD)29.63(3.68)6.39(2.98)10.89(1.81)156.25(62.28)
"} {"image_path": "images/51b6ca8beb2988ce3047952cd3c33252.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Object of analysisAdded,ppmFound, ppm
$ \\omega~_{(I^{-})} $$ \\omega~_{(I^{-})\\text {total}} $$ \\omega~_{(I^{-})} $$ \\omega_{av}~{(I^{-})} $$ S_{w(I^{-})} $
NaCl,Artyomovsk,Donetsk region,UkraineResults by proposed method
-1.321.32
- 1.351.351.330.02
-1.331.33
1.032.351.32
1.032.321.291.300.01
1.032.331.3
Results by known method [7]
1.361.36
1.331.331.360.03
1.381.38
Spring water,Kharkov,Ukraine-0.0520.052
-0.0510.0510.0520.001
-0.0520.052
0.0570.1090.052
0.0570.1070.050.0510.001
0.0570.1090.052
"} {"image_path": "images/6c5d3f591d6dc8f10f111a1ce4751f91.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FormulationPreferenceSweetnessMouthfeel
Sucrose5.4 b6.6 a5.2 b
HFCS plus
9-12 DE sweetener5.8 ab5.3 b6.0 a
HFCS plus
13-17 DE sweetener6.0 ab5.1 b5.7 ab
HFCS plus
19-23 DE sweetener6.4 a5.6 b6.2 a
HFCS plus
28-31 sweetener6.3 a5.5 b6.4 a
HFCS plus
41-44 sweetener3.94.4 c4.3
"} {"image_path": "images/a90828f513f1969557adc6ca5a97acd7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EEHUSICZ
postLTpostLTpostLTpostLT
Poverty headcount, %
Total17.517.913.313.815.717.58.510.6
(0.59)(0.58)(0.47)(0.50)(0.54)(0.55)(0.47)(0.50)
Children20.121.019.621.315.017.810.815.9
(1.13)(1.15)(1.02)(1.06)(0.98)(1.05)(0.97)(1.07)
- in large (3+) families20.221.430.636.816.223.820.531.9
(3.41)(3.47)(3.39)(3.51)(4.17)(4.94)(4.55)(4.74)
- in single parent families45.647.130.232.225.626.727.935.8
(4.62)(4.60)(3.54)(3.68)(4.79)(4.80)(3.41)(3.55)
Poverty gap, %
Total4.95.13.23.73.44.11.51.9
(0.26)(0.26)(0.16)(0.18)(0.15)(0.18)(0.13)(0.14)
Children6.26.74.55.62.54.01.92.8
(0.50)(0.52)(0.30)(0.38)(0.19)(0.29)(0.26)(0.29)
- in large (3+) families5.26.66.310.01.95.24.35.7
(0.99)(1.21)(0.83)(1.24)(0.55)(1.15)(1.24)(1.29)
- in single parent families14.114.86.79.43.16.13.75.8
(1.85)(1.86)(1.14)(1.51)(0.61)(1.29)(0.62)(0.78)
"} {"image_path": "images/188426dcadd497dc57b9c8bed8640935.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Eye practice favoured
OccupationSurgical%Medical%Total
Farming6053.15346.9113
Civil Servant2032.84167.261
Student37.53792.540
Housewife4555.63644.481
Children & infants00.01110011
Others225.0675.08
Total13037.418452.9348
"} {"image_path": "images/c23161be94efc5007550646aff1c1d8e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地 区1 9 9 4 年1 9 9 3 年
全部从业人 员全 部职 工城镇私营和 个 体从业人员其 他从业人员全部从业人 员全 部职 工城镇私营和 个 体从业人员其 他从业人员
总 计1 152.11 031.393.827.01 131.11 034.372.324.5
# 沈 阳249.1220.820.18.2243.1224.014.44.7
大 连159.2135.116.57.6154.7134.913.95.9
鞍 山110.1102.15.62.4109.4102.94.91.6
抚 顺90.281.77.60.988.682.45.21.0
本 溪57.852.64.50.757.853.53.60.7
丹 东55.249.85.00.453.649.34.00.3
锦 州60.951.98.0 1.059.452.95.41.1
营 口47.742.84.10.848.143.53.21.4
阜 新48.843.25.10.548.243.64.30.3
辽 阳45.539.35.90.344.238.34.71.2
盘 锦49.147.11.20.848.744.50.93.3
铁 岭52.347.74.00.651.446.83.11.5
朝 阳46.043.22.20.643.541.21.70.6
葫 芦 岛43.839.04.00.841.637.92.80.9
"} {"image_path": "images/132579a0fb964f27e16a3d26f20a752c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
allyl-quinol reactionproduct, % $\\text{yield}^{a}$ recoveryof $\\mathbf{quinol}^{a}$
conditions61819
16$\\mathrm{CH}_{2} \\mathrm{Cl}_{2}$, reflux, $8 \\mathrm{~h}$08050
2 N HCl/$\\mathrm{CH}_{2} \\mathrm{Cl}_{2} 20^{\\circ} \\mathrm{C}, 2 \\mathrm{~h}$1133055
20 °C, 6 h346000
$\\mathrm{BF}_{3} \\cdot \\mathrm{OEt}_{2}$ (1 equiv) $/ \\mathrm{CH}_{2} \\mathrm{Cl}_{2},-70$ to $20^{\\circ} \\mathrm{C}, 1 \\mathrm{~h}$455500
17 $\\mathrm{CH}_2\\mathrm{Cl}_2,$ reflux, 4 h100000
$2\\textbf{N HCl/CH}_{2}\\text{Cl}_{2}$ 20 ℃, 4 h90trace00
$\\mathrm{BF}_{3} \\cdot \\mathrm{OEt}_{2}$ ( 0.5 equiv)$/\\mathrm{CH}_{2}\\mathrm{Cl}_{2},$ -73 to 25 ℃, 1 h474490
"} {"image_path": "images/b2216bad7374a996f432154393eebad0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
System codeCuretemperature/℃mnm + n$k_{1}/s^{-1}$$k_{2}/s^{-1}$$k_{2}/k_{1}$$lnA_1$$lnA_2$$E_{a1}$/$kJ ~mol^{-1}$$E_{a2}$/kJ $mol^{-1}$
Uncatalyzed DGEBA/CPE1600.611.972.59$3.0\\ \\times\\ 10^{-4}$$9.0\\ \\times\\ 10^{-3}$30.0
1800.591.802.38$6.6\\ \\times\\ 10^{-4}$$1.6\\ \\times\\ 10^{-2}$24.26.366.9951.6942.28
2000.711.682.39$1. 2\\ \\times\\ 10^{-3}$$2.4\\ \\times\\ 10^{-2}$20.0
Catalyzed DGEBA/CPE1600.472.052.52$2.4\\ \\times\\ 10^{-3}$$1.5\\ \\times\\ 10^{-2}$6.255.245.6740.5835.66
(1% catalyst)1800.602.112.71$4.0\\ \\times\\ 10^{-3}$$2.3\\ \\times\\ 10^{-2}$5.75
2000.882.042.92$6.3\\ \\times\\ 10^{-3}$$3.4\\ \\times\\ 10^{-2}$5.40
"} {"image_path": "images/b0a0b89b202198f49284a6512421d9e7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StepTH1st in HzP
15, 2, 1, 4, 3, 61, 2, 4, 5, 3, 61$\\phi$$\\phi$
Description: generate T and H
25, 2, 4, 3, 62, 4, 5, 3, 621$\\phi$
Description: put lot 1 onto the test head
35, 3, 65, 3, 6512,4
Description: select lots 2 and 4 from T and put onto the test head
43, 63,6652,4
Description: lot 1 finishes testing; then select lot 5 for testing from T .
533354,6
Description: lot 2 finishes testing; then select lot 6 for testing from T .
6$\\phi$$\\phi$$\\phi$53,6
Description: Lot 4 finishes testing; then select lot 3 for testing from T .
"} {"image_path": "images/4e2e4b3431cfe67a430c85ef19362227.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Initial reagcntsCatalystReactionProduct$\\begin{array}{c}\\mathbf{1}\\mathrm{~in~the}\\\\\\text{mixture}\\\\(\\%)^{c})\\end{array}$$ \\text{Yield}^{\\mathrm{d})} $$ (\\%) $Mp(Bp/kPa)(°C)$\\underset{(\\text{Found})}{\\text{Calcd}}\\ (\\%)$
$\\mathbf{R}^{1}$$\\mathbf{R}^{2}$Ar temp(°C)time(h)CH
MeHPhDBU1404la10077 131/20$ [97.5-98.5/0.27]^{\\mathrm{7,e)}} $
PhHPh$n\\text{-Bu}_3\\text{N}$14071d100846074.63(74.495.825.68)
PhMePhPyridine15041g, 2g9582239—241/474.98(75.146.296.14)
PhH$p\\text{-MeOC}_6\\text{H}_4$t-BuOK17051e100887170.57(70.725.925.88)
PhH$p\\mathrm{-PhC_6H_4}$DBU16051f100789579.22(79.355.705.90)
Me$\\mathrm{PhOCH}_2$Pht-BuOK17041c10092 185/0.67$ [33]^{\\mathrm{b,e)}} $
MeMePhPyridine15041b, 2b9784141/3.1
OPhH$Ph^{b})$t-BuOK19054a10079$_{[92-93]^{8)e)}}^{91.5-92.5}$
"} {"image_path": "images/a6ac4e3a00fb4f4b56551da135dd5de0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Wind speed$(\\mathfrak{m}~\\mathbf{s}^{-1})$1.02.05.010.020.0
Responsetime (s)Dry*0.0280.0230.0270.022
Wet0.500.3620.2790.1840.120
$\\tau U^{1/2}$Wet0.50.510.620.580.54
"} {"image_path": "images/19e5573442e64c6e9401c27f6b558631.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PTWTEATEARPB
N(0,1)$D_{1}$0.0620.0410.0560.0520.050
$D_{2}$0.0780.0390.0540.0560.054
$D_{3}$0.0720.0380.0460.0470.049
$D_{4}$0.0710.0330.0570.0580.054
$D_{5}$0.0640.0390.0430.0450.047
Exponential(1)$D_{1}$0.1070.0710.0810.0800.051
$D_{2}$0.1330.0720.0760.0790.049
$D_{3}$0.1320.0810.0890.0900.054
$D_{4}$0.1310.0730.0980.0940.050
$D_{5}$0.0980.0740.0580.0550.053
Logistic (1,1)$D_{1}$0.0520.0420.050.0510.047
$D_{2}$0.0760.0410.0580.0590.050
$D_{3}$0.0650.0330.0480.0500.046
$D_{4}$0.0680.0340.0590.0570.051
$D_{5}$0.0590.0340.0430.0440.041
"} {"image_path": "images/2d2e08485c17efcdc49f6da6dcc5cfb5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
coordinate$(L^{-1})$PED/%
$R_{CoN}$0.6221
$R_{NC}$0.335
$R_{CC}$0.11
$R_{CoC}$-0.04
${R_{C=N}}$-0.02
$\\delta(N3CoN4)(inner chelate)^b$-0.0510
$\\delta$(N1CoN4)(outer chelate)0.1510
$\\delta$(C7CoN4)-0.225
$\\delta$(C7CoN1)0.355
$\\delta$(CoN3C4)0.3622
$\\delta$(NCC)0.131
$\\delta$(CCC)0.161
$\\delta$(CoC7N5)0.32
"} {"image_path": "images/c1c01046299efc17b27dc04faa995837.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Grazing $treatment^z$SEMTreatment $effects^y$
CG-LCG-HRG-LRG-HGSSRGS×SR
Forage production (kg $ha^{-1})^x$
19913632.03250.03577.03745.5164.00.320.470.46
19926291.05145.06148.05193.0314.90.940.180.89
19937001.05984.06148.07002.0313.50.910.910.24
19943702.05116.03998.05381.5307.30.510.020.97
Mean forage mass(kg $ha^{-1})$
19912557.02250.02779.02186.5109.50.650.050.43
19923348.02635.53668.01891.0301.50.630.040.26
19933463.0 2781.04605.02613.5341.9 0.340.040.22
19942572.51656.53003.51339.0291.80.890.030.38
Residual forage carryover(kg $ha^{-1})$
19912855.02029.5 2365.51578.0276.50.260.090.96
19922028.01137.5 2542.01102.0269.90.550.030.50
19931890.0960.02828.01214.0282.90.040.030.15
19941311.0540.0 1480.5541.0173.70.610.010.64
Forage disappearance(kg $ha^{-1})$
1991777.01220.0 1211.02167.5324.40.050.050.13
19924263.04007.5 3606.04091.0387.50.790.910.73
19935111.05024.0 3320.05788.0459.90.560.210.19
19942391.04576.02517.54835.5445.40.590.030.85
"} {"image_path": "images/d62ddcb079328067fe16c46527a3629c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Observed endogenous variablesEDUCTNINCOMESTDLIVGENDERAGE
TotalStdTotalStdTotalStdTotalStdTotalStd
Among affected individuals
KNDISSPD0.000.000.000.000.140.15-0.83-0.160.000.00
KNDISTRT0.000.00-0.001-0.170.210.40-0.27-0.09-0.01-0.10
KNDIAG0.000.00-0.001-0.330.190.320.940.29-0.02-0.20
KNDISPVT0.000.00-0.001-0.290.130.280.640.26-0.01-0.18
KNMOSBC0.000.000.000.000.170.270.000.00-0.02-0.17
PRACTMBI0.000.000.0010.160.030.12-0.21-0.14-0.001-0.08
PREVENTM0.000.00-0.001-0.120.050.230.120.100.001-0.15
Among non-infected individuals
KNDISSPD0.120.250.000.000.000.000.640.140.020.16
KNDISTRT0.120.330.000.000.000.000.640.180.020.22
KNDIAG0.080.230.000.000.050.090.000.000.000.00
KNDISPVT0.050.230.000.000.030.090.000.000.000.00
KNMOSBC0.000.000.0010.210.000.000.790.19-0.01-0.10
PRACTMBI0.000.000.0010.040.000.000.050.03-0.001-0.02
PREVENTM0.000.000.0010.190.000.000.190.17-0.001-0.09
"} {"image_path": "images/9c771c307713a4ac7320ca7593a505ce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Time ${ }^{\\text {a }}$GMAS15 × 15GMAS4 × 4FastorbOrbJ2
dpYYY:MM:DD:HH:MM:SS
1989:06:01:00:00:00Longitude110.54110.54110.55110.55
Latitude0.000.000.000.00
1989:06:02:00:00:00Longitude92.5492.5190.2292.46
Latitude- 5.67- 5.70- 6.92- 5.74
1989:06:03:00:00:00Longitude74.3574.2569.5174.16
Latitude- 11.15- 11.20- 13.49- 11.27
1989:06:04:00:00:00Longitude55.7655.5748.1255.46
Latitude- 16.23- 16.31- 19.32- 16.40
1989:05:05:00:00:00Longitude36.6236.3125.7936.18
Latitude- 20.70- 20.90- 24.02- 20.90
1989:06:06:00:00:00Longitude16.8416.372.5316.25
Latitude- 24.33- 24.45- 27.17- 24.53
1989:06:07:00:00:00Longitude356.44355.80338.63355.69
Latitude- 26.92- 27.02- 28.48- 27.08
1989:06:08:00:00:00Longitude335.61334.77314.65334.67
Latitude- 28.28- 28.32- 27.77- 28.36
"} {"image_path": "images/aa5cfec6bf18ba4ac36ff51dd76a94f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
anatomical1.73(0.98, 3.05)0.06
Operative time (min)1.00(1.00, 1.00)0.04
Estimated blood loss (g)1.00(1.00, 1.00)0.85
Blood transfusion (+)2.31(1.22, 4.34)<0.012.44(1.06, 5.59)0.03
Postoperative complications (+)
1.85(1.06, 3.23)0.03
Staging system
ALBI0.030.46
ALBIT 1 vs 01.75(0.52, 5.87)0.361.32(0.37, 4.78)0.67
ALBIT 2 vs 02.73(0.83, 9.03)0.101.51(0.38, 6.11)0.56
ALBIT 3 vs 02.62(0.71, 9.69)0.150.74(0.16, 3.45)0.71
ALBIT 4 vs 07.34(1.76, 31.01)0.012.34(0.39, 13.90)0.35
JIS0.270.95
JIS 1 vs 01.75(0.73, 4.20)0.211.14(0.44, 2.99)0.79
JIS 2 vs 02.22(0.88, 5.60)0.090.86(0.27, 2.78)0.81
JIS 3 vs 03.14(1.06, 9.38)0.040.86(0.23, 3.25)0.82
JIS 4 vs 03.35(0.40, 27.92) 0.260.82(0.08, 8.74)0.87
Modified JIS0.030.65
Modified JIS 1 vs 01.86(0.65, 5.31)0.251.21(0.40, 3.72)0.74
Modified JIS 2 vs 02.75(0.95, 7.97)0.061.47(0.43, 5.00)0.54
Modified JIS 3 vs 04.96(1.54, 15.87)0.012.43(0.64, 9.26)0.19
Modified JIS 4 vs 05.93(0.65, 53.71) 0.111.47(0.14, 15.65)
0.75
"} {"image_path": "images/054c01d92937817ef3df4ea4503c2a7c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParametersMeanRangeRMS-CV (%)ICC
StructuralBV/TV (%)7.14[4.17, 8.20]3.70.978
SCR2.97[1.08, 5.50]13.00.947
EI1.91[0.90, 4.69]12.90.981
Junc.D$1.40 × 10^{-3}$$[0.40×10^{-3},2.05×10^{-3}]$9.50.960
Skel.D$21.5 × 10^{-3}$$[8.8× 10^{-3}, 27.0×10^{-3}]$6.00.975
SA1.85[1.68, 2.03]1.60.967
Tb.Th (μm)103.04[96.52, 110.53]3.70.752
Tb.N (μm$^{-1}$)0.69[0.43, 0.84]5.90.950
Tb.Sp (μm)1377[1088, 2216]6.10.962
SMI1.98[1.70, 2.77]2.10.991
Mechanical$\\mathrm{E}_{\\mathrm{xx}} (\\mathrm{MPa})$238[148, 337]5.90.978
$\\mathrm{E}_{\\mathrm{yy}} (\\mathrm{MPa})$340[188, 450]6.50.965
$\\mathrm{E}_{\\mathrm{zz}} (\\mathrm{MPa})$687[372, 858]5.60.969
$\\mathrm{G}_{\\mathrm{xy}} (\\mathrm{MPa})$135[85, 172]5.20.977
$\\mathrm{G}_{\\mathrm{yz}} (\\mathrm{MPa})$166[103, 222]4.60.978
$\\mathrm{G}_{\\mathrm{zx}} (\\mathrm{MPa})$212[116, 272]5.10.974
"} {"image_path": "images/dec2056a29cfbb11dc64afb7161df0bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
笔画数总数百分数
一至十画十画以上
六年级形错字数486737122382.25
百分数39.7460.26100
音错字数9211921114.18
百分数43.6056.40100
义错字数3222543.69
百分数59.2640.74100
总数字数6108781488
百分数40.9959.01100
"} {"image_path": "images/0a8d7821e73ef23f656879ee6d05e3ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科 目設 備
名 稱 及 编 號土地房屋建築及設備公共建設及設施機械設備
7 0008000000内政部主管
7 0008580000移民署34,6413,01511,395
3708580000民政支出34,6413,01511,395
1 3708580100一般行政4,350
2 3708581100入出國及移民管理業務30,2913,01511,395
3 3708589000一般建築及設備
1 3708589011交通及運輸設備
"} {"image_path": "images/716a07bde2b6dcde13f1080314c38da7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ClusterStatisticsPer CapitaGDPForestCoverPer capitaConsumptionCountries in the cluster
1 (26)mean39815.53.1a0, h2, i6, i7, f1, b3, g1, j6,
min2090.00.0k0, k5, p2, c8, d2, d3, l2, l5,
max19,55316.614.4e0, l8, e4, n3, e5, m0, r8, i3,
SD49924.93.7r9, m3 (14)
2 (16)mean45,28429.435.3m4,n6, n7, o2, o3, o5, o8,
min34,3310.03.1o9, j9, p3 p4, l4, q1, q2, q3,
max76,05973.988.3h1 (15)
SD11,87923.618.3
3 (18)mean479459.84.2f2, h3, h4, h6, q8, m6, c0,
min23146.10.0h9, j5, r2, k7, g8, i0, i1, r5,
max18,06994.714.2p9, i2, i4 (13)
SD429912.64.1
4 (28)mean323028.73.0n9, a7, h5, j1, f6, f8, b8, g0,
min30018.00.0j4, g3, r3, p1, c5, c9, g5, d1,
max973942.212.4g7, l3, p5, p7, q4, p8, l7, e1,
SD27906.82.8l9, e6, n4, m2 (19)
5 (17)mean22,71228.814.6f3, o0, j2, o1, o4, m7, o6,
min87690.37.9o7, p0, k2, k3, g6, m9, p6,
max37,98263.425.4q0, h0, m1 (15)
SD902616.25.0
"} {"image_path": "images/f6df813ad7519053bca7c4de00f91446.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cell ParametersCrystal Forms
β$\\alpha$$\\gamma$δ
$I_p$$II_ad$$II_au$$III_au$$III_pu$$III_pd$$III_ad$$II_pd$$II_pu$
Space Group Cm2m$P2_1/c$$Pca2_1$$Pca2_1$Cc$Pna2_1$$P2c_1/c$$P2_1/cn$Cc
Cohesive Energy-0.24-0.082-0.078-0.11-0.094-0.068-0.061 -0.075-0.077
(eV per $\\mathrm{CH}_{2}$ unit)$-0.44^{a}$ $-0.28^{a}$ $ -0.31^{a} $ $-0.28^{\\mathrm{a}}$
Bulk Modulus11.188.547.837.658.777.294.788.537.38
(GPa)$25.25^{a}$ $18.05^{a}$ $15.76^{a}$ $15.71^{\\circ}$
$E_c\\,(\\text{GPa})$287.33148.10149.60 98.00105.90103.7050.90152.30 151.40
$341.30^{\\mathrm{a}}$$175.13^{a}$ $119.90^{a} $ $179.94^{\\mathrm{a}}$
a($\\mathring{\\mathrm{A}}$)$ \\begin{gathered} 8.69 / 8.22^{\\mathrm{a}} \\\\ (8.58) \\end{gathered} $$ \\begin{gathered} 9.77 / 9.24^{\\mathrm{a}} \\\\ (9.64) \\end{gathered} $9.849.78$ \\begin{gathered} 9.69 / 9.26^{\\mathrm{a}} \\\\ (9.67) \\end{gathered} $9.75 9.68 $ \\begin{gathered} 9.71 / 9.10^{\\mathrm{a}} \\\\ (9.64) \\end{gathered} $9.81
b($\\mathring{\\mathrm{A}}$)$ \\begin{gathered} 4.85 / 4.51^{\\mathrm{a}} \\\\ (4.91) \\end{gathered} $$ \\begin{gathered} 5.02 / 4.75^{\\mathrm{a}} \\\\ (4.92) \\end{gathered} $5.025.08$ \\begin{gathered} 5.00 / 4.76^{\\mathrm{a}} \\\\ (4.96) \\end{gathered} $5.176.17$ \\begin{gathered} 5.02 / 4.79^{\\mathrm{a}} \\\\ (4.96) \\end{gathered} $5.04
c($\\mathring{\\mathrm{A}}$)$ \\begin{gathered} 2.58 / 2.58^{\\mathrm{a}} \\\\ (2.56) \\end{gathered} $$ \\begin{gathered} 4.67 / 4.64^{\\mathrm{a}} \\\\ (4.62) \\end{gathered} $4.679.33$ \\begin{gathered} 9.34 / 9.25^{\\mathrm{a}} \\\\ (9.20) \\end{gathered} $9.399.38 $ \\begin{gathered} 4.67 / 4.65^{\\mathrm{a}} \\\\ (4.62) \\end{gathered} $4.67
α(°)$ \\begin{gathered} 90.0 / 90.0^{\\mathrm{a}} \\\\ (90.0) \\end{gathered} $$ \\begin{gathered} 90.0 / 90.0^{\\mathrm{a}} \\\\ (90.0) \\end{gathered} $90.0 90.0$ \\begin{gathered} 90.0 / 90.0^{\\mathrm{a}} \\\\ (90.0) \\end{gathered} $90.090.0$ \\begin{gathered} 90.0 / 90.0^{\\mathrm{a}} \\\\ (90.0) \\end{gathered} $90.0
β(°)$ \\begin{gathered} 90.0 / 90.0^{\\mathrm{a}} \\\\ (90.0) \\end{gathered} $$ \\begin{gathered} 90.0 / 90.0^{\\mathrm{a}} \\\\ (90.0) \\end{gathered} $90.0 90.0$ \\begin{gathered} 91.5 / 93.1^{\\mathrm{a}} \\\\ (93.0) \\end{gathered} $90.0121.9$ \\begin{gathered} 90.0 / 90.0^{\\mathrm{a}} \\\\ (90.0) \\end{gathered} $91.7
$\\gamma$(°)$ \\begin{gathered} 90.0 / 90.0^{\\mathrm{a}} \\\\ (90.0) \\end{gathered} $$ \\begin{gathered} 90.0 / 90.0^{\\mathrm{a}} \\\\ (90.0) \\end{gathered} $90.090.0$ \\begin{gathered} 90.0 / 90.0^{\\mathrm{a}} \\\\ (90.0) \\end{gathered} $90.0 89.9$ \\begin{gathered} 90.0 / 90.0^{\\mathrm{a}} \\\\ (90.0) \\end{gathered} $90.0
"} {"image_path": "images/41bc42d3f0164355cd197aab06c8b82a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Jan5.456.637.788.338.211394.46.9757590.9b+1724350512844.0+0.3+0.327.18284.32
Feb5.736.237.688.298.321366.42.9643572.5+106735481278+1.0%4.1+0.4+0.129.35299.94
Mar5.856.057.688.378.241498.58.9574571.2+1108359012894.0+0.6+0.329.89286.39
Apr6.025.857.648.408.151452.43.9089572.0+973362313033.8-0.1+0.225.74279.86
May6.276.157.998.908.521420.60.9328573.5+88636691319+6.4%4.0+0.2+0.228.78275.31
Jun6.535.937.678.488.291454.60.9545575.7+1027371013144.0+0.6+0.231.83285.73
Jul6.545.857.658.358.151430.83.9266577.1+1083374613204.0+0.3+0.229.77281.55
Aug6.505.727.558.268.031517.68.8878577.7+ 99337761325-0.5%4.10.0+0.2FY31.22274.47
Sep6.525.837.628.357.911436.51.8837578.4+1069380713413.9+0.5+0.2+236.233.88273.68
Oct6.515.807.558.347.801429.40.8486580.5+1031381813263.9+0.2+0.233.08270.00
Nov6.515.787.458.287.751314.95.8694582.5+118438361326+2.1%3.9+0.2+0.334.40266.01
Dec6.405.497.218.027.381320.28.9388585.0+1329386813513.9+0.2+0.128.46271.45
-10.1%-6.8%-1.0%+11.2%+5.1%+2.2%+3.4+2.6+9.1%-4.2%
D-DD-DD-DD-DD-D4Q-4QD-D D-DD-DD-D
(Continued)
"} {"image_path": "images/14b5d5173da24e7db59624fa0323473b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Patient &protocolObservationperiod (s)Epileptiformspike countSpikes persecondP (max)
A: Control4551$ 2.2\\times 10^{-3} $
A: Protocol-1
Part 12401$ 4.2\\times 10^{-3} $<0.31
Part 22402$ 8.3\\times 10^{-3} $<0.12
Part 348013$ 2.7\\times 10^{-2} $<0.0003
Total (1-3)96016$1.7\\times 10^{-2}$ $<0.004$
A: Protocol-2
Part 11000
Part 21000
Part 3102$2.0 \\times 10^{-1}$<0.0005
Part 4101 $$1.0\\times 10^{-1}$$<0.02
Part 5102$2.0 \\times 10^{-1}$$<0.0005$
Part 6106$ 6.0\\times 10^{-1} $$\\ll 10^{-5}$
Part 7103$3.0 \\times 10^{-1}$$<10^{-5}$
Total (1-7)7014$2.0 \\times 10^{-1}$$<10^{-7}$
B: Control2155$2.3 \\times 10^{-2}$
B: Field cycle
Part 11406 $ 4.3\\times 10^{-2} $<0.10
Part 2805$ 6.2\\times 10^{-2} $<0.04
Part 3502$ 4.0\\times 10^{-2} $<0.20
Total (1-3)27013$ 4.8\\times 10^{-2} $<0.04
"} {"image_path": "images/de8c3e7962c12a1815a782ae15801a71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Decay modes Estimatedbranching ratio CPasymmetry
A. Semileptonic
$\\mathbf{B}_{\\mathbf{d}} \\overline{\\mathbf{B}}_{\\mathbf{d}} \\rightarrow \\ell^{ \\pm} \\ell^{ \\pm} \\mathbf{X}$$\\leq 4\\times 10^{-4}$ $10^{-3}$
$\\mathrm{B}_{\\mathrm{s}} \\overline{\\mathrm{B}}_{\\mathrm{s}} \\rightarrow \\ell^{ \\pm} \\ell^{ \\pm} \\mathrm{X}$$10^{-3}-10^{-2}$$10^{-4}$
B Nonleptonic
CP pure final state
$B_{d}\\rightarrow\\psi K_{S}$ $\\sim 5 \\times 10^{-4}$002-02
$\\rightarrow\\psi\\mathrm{K}_{\\mathrm{s}}\\pi^{0}$$10^{-3}$ 002-02
$\\to\\psi\\mathbf{K}_{\\mathbf{S}}+\\mathbf{X}$$5\\times 10^{-3}$ 002-02
$\\rightarrow\\mathrm{D\\bar{D}}\\mathrm{K}_{s}$$(01-2) \\times 10^{-2}$002-02
$\\rightarrow\\mathrm{D\\bar{D}}$$5\\times 10^{-3}$ 0.02-02
$\\mathbf{B}_{\\mathrm{s}}\\to\\psi\\phi$$10^{-3}$ $10^{-3}-0.01$
$\\rightarrow F^{+} F^{-}$$3\\times 10^{-2}$ $10^{-3}-0.01$
$\\rightarrow \\psi \\eta$$5\\times 10^{-4}$ $10^{-3}-0.01$
$\\mathbf{B}_{\\mathrm{d}}\\to\\mathbf{K}_{\\mathrm{S}}\\pi$ $ \\leqslant 10^{-4} $01-05
$\\rightarrow\\mathrm{K}_{\\mathrm{S}\\rho}$$10^{-4}$01-05
CP mixed final state
$\\mathrm{B_{\\mathrm{d}}}\\to\\Sigma_{\\iota,\\:j}(\\mathrm{K}_{S}\\mathrm{N}_{j})_{\\mathrm{D^{0}}}\\mathbf{M}_{j}$ $\\sim \\mathrm{O}(1 \\%)$0 02-0.2
$\\mathrm{N}_{\\iota},\\mathbf{M}_{j}\\in\\{\\text{pseudoscalar vector, axıal-vector nonet}\\}$
non-CP final state
$\\mathbf{B}_{\\mathrm{d}}\\to\\mathbf{D}^{+}\\pi^{-}$1%$10^{-3}-0.01$
$\\to\\mathbf{D}^{0}\\mathbf{K}_{\\mathbf{s}}$$\\mathrm{O(10^{-3})}$$10^{-3}-0.01$
$\\mathrm{B}_{\\mathrm{s}} \\rightarrow \\mathrm{F}^{+} \\mathrm{K}^{-}$$\\mathrm{O(10^{-3})}$01-05
"} {"image_path": "images/a56883aad722f65cdaf138e3b8d52ab9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Statistics modeling
Exp.Weib. 1Weib. 2General
$\\alpha_A$$\\beta_A$$\\alpha_B$$\\beta_B$$\\alpha_C$$\\beta_c$$\\phi $$\\chi$$\\psi$
DT0.142.60.363.4--0.700.30-
TBF0.150.621.114.81.6230.600.170.23
Mean DT $m_{E,DT}=2.8$ [min]$ m_{W 1,DT}=10.4$[min]-$m_{EWW,DT }=5.1$ [min]
Mean TBF $m_{E}=0.79$ [min]$ m_{W1}=14.3$ [min]$m_{W2}=20.6${min}$m_{EWW}=7.6 $ [min]
Experimental data
Mean DTEmpirical DT data $N_{c}=1162$ cycles $m_{DT}=5.15$ [min]
Mean TBFEmpirical TBF data $N_{c}=1162$ cycles $m_{TBF}=7.50$ [min]
"} {"image_path": "images/84fd6d0df271cb9fb2e215da17755e5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
xy$z_{A}$$z_{B}$
$O_{1}$000
$O_{2}$00·2500·250
Si0·0380·1670·006
$O_{3}$0·1500·1670·023
$OH_{1}$0·15000·523
$Mg_{1}$0·22500·2010·867
$Mg_{2}$0·2250·1670·7010·367
$OH_{2}$0·29200·8760·210
$OH_{3}$0·2920·1670·3760·710
"} {"image_path": "images/77609d69d9bdebfd132de8340cfbeed8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
定 额 编 号3-0253-0263-0273-028
项 目装配式 U 形轻钢天棚龙骨 (不上人型)
面层规格/mm
600 × 600600×600 以上
平面跌级平面跌级
名 称单位代码单价/元定 额 耗 用 量
人工综合人工工日133.500.19000.21000.18000.2000
材料轻钢龙骨不上人型(平面)600×600$m^2$AF104026.401.0150
轻钢龙骨不上人型(跌级)600×600$m^2$AF104128.801.0150
轻钢龙骨不上人型(平面)600×600 以上$m^2$AF105031.201.0150
轻钢龙骨不上人型(跌级)600×600 以上$m^2$AF105133.601.0150
吊筋kgAF03704.200.27500.35700.36300.3390
高枪螺栓kgAM36011.200.01220.01030.01060.0090
螺母AM76720.103.52004.13003.74004.1300
射钉AN05450.301.53001.55001.53001.5500
垫圈AN16640.041.76002.07001.87002.1500
铁件kgAN53904.200.40000.40700.40000.4070
电焊条kgAR02116.000.01280.01280.01280.0128
锯材$m^3$CB007015600.00070.0007
扁钢kgDA00213.000.01540.0154
钢板kgDA05514.200.00470.0047
方钢管 25×25×2.5mED04708.400.06120.0612
机械交流电焊机 30kW台班TM0400130.500.00100.00100.00100.0010
基价表人工费/元6.377.046.036.70
材料费/元30.6035.1635.8739.96
机械费/元0.130.130.130.13
基价/元37.1042.3342.0346.79
"} {"image_path": "images/be9c1485cea2c17a43eaa71b16fff11e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ROGUE MALICE
HONOR THYSELFFIVE DAYS IN PARIS
AMAZING GRACELIGHTNING
BUNGALOW 2WINGS
SISTERSTHE GIFT
H.R.HACCIDENT
COMING OUTVANISHED
THE HOUSEMIXED BLESSINGS
TOXIC BACHELORSJEWELS
MIRACLENO GREATER LOVE
IMPOSSIBLEHEARTBEAT
ECHOESMESSAGE FROM NAM
SECOND CHANCEDADDY
RANSOMSTAR
SAFE HARBOURZOYA
JOHNNY ANGELKALEIDOSCOPE
DATING GAMEFINE THINGS
ANSWERED PRAYERSWANDERLUST
SUNSET IN ST. TROPEZSECRETS
THE COTTAGESECRETS
THE KISSFULL CIRCLE
LEAP OF FAITHCHANGES
LONE EAGLETHURSTON HOUSE
JOURNEYCROSSINGS
THE HOUSE ON HOPE STREETONCE IN A LIFETIME
THE WEDDINGA PERFECT STRANGER
IRRESISTIBLE FORCESREMEMBRANCE
GRANNY DANPALOMINO
BITTERSWEETLOVE POEMS
MIRROR IMAGETHE RING
HIS BRIGHT LIGHT:LOVING
The Story of Nick TrainaTO LOVE AGAIN
THE KLONE AND ISUMMER'S END
THE LONG ROAD HOMESEASON OF PASSION
THE GHOSTTHE PROMISE
SPECIAL DELIVERYNOW AND FOREVER
THE RANCHPASSION'S PROMISE
SILENT HONORGOING HOME
"} {"image_path": "images/732bf8b634eb6b2048f247ec92795fe0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Hapa-MeTpBapuaHT
1,2,3,4,5,6,7,8,9,10,
11,12,13,14,15,16,17,18,19,20,
21,22,23,24,25,26,27,28,29,30,
31323334353637383940
$Q_1$1478549562119018,04012012,5
$Q_2$43190361708,557069,02314195
±$△_1$0,71,80,82,00,39,00,30,43,50,5
±$△_2$0,91,41,21,20,124,30,090,180,550,28
"} {"image_path": "images/99cec1a1d189ca346b5fdc87c2ac28f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
种 类光 补 尝 点($Kl_x$)光 饱 和 点($Kl_x$) 光 合 强 度($\\mathrm{CO}_2$ 毫克 $/ 100$ 厘米 ${ }^2$/小时)
番 茄7031.7
茄 子2.04017.0
辣 椒1.53015.8
黄 瓜5524.0
南 瓜1.54517.0
甜 瓜4.0**5517.1
西 瓜4.08021.0
甘 蓝2.04011.3
白 菜1.5—2.04011.0
芜 菁4.05513.5
4.08016.0
菜 豆1.52512.0
豌 豆2.04012.8
芹 菜2.04513.0
莴 苣1.5—2.0255.7
三 叶 芹1.0208.3
襄 荷1.5202.3
款 冬2.0202.2
"} {"image_path": "images/91d21ddbceb1f1a650b5d9177d92d8a3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Total result onSymptoma-tic patients Symptom-free patients
ordinaryexaminationamplified examination
++ or not performed WR and KR both $\\geqq 6$18081.86880.9
++ or not performed WR and KR both $\\geqq 3$$butone\\leqq5$167.389.5
±+61
6.84.8
± not performed93
± ±21
-± 23.203.6
Negative, ? or not performed53
"} {"image_path": "images/bc4b4060a204afd989849c4e4fb85a8e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ⅠaⅠb
pHpHpH
575757
Molecular $weight^a$454.5494.6378.4
$pKa^b$2.912.94$3.06^c$
$Log~P_u~(octanol-water)^b$2.963.77$1.95^d$
${p_{app}}^e$7.350.074150.80.5120.2070.00549
$10^2k_u~(theor)^f,~ml/min$3.680.0512.170.290.370.00
$10^2k_{theor}{}^g,~ml/min$4.831.2013.321.441.521.15
$10^2k_{obs}{}^h,~ml/min$ 6.61.713.52.31.5$0.45^i$
"} {"image_path": "images/e19a51070a0770ab2735fb0405db8995.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SetPhase IPhase IINb. videos/clientNb. videos
Laptop dataMobile dataMobile dataMobile data
Session-01Session-01Sessions 02-06Sessions 07–12
Videos/clientVideos/client(Videos/client)/sess.(Videos/client)/sess.
Train-$ 5p + 10f + 5r + 1I$$5 p+10 f+5 r+11$$5p+5f+1I$1929600
Enrol-5p--5500
Test--$10 \\mathrm{f}+5 \\mathrm{r}$5f10510,500
"} {"image_path": "images/c659c44de342a988a971df198e90a263.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Formula${MgB_{2}C_{2}}$
Molecular weight $\\left(\\mathrm{g}~ \\mathrm{moI}^{-1}\\right)$69.946
Crystal size(mm)$0.23 \\times 0.19 \\times 0.08$
Crystal shapeTruncated hexagonal pyramid
ColourTransparent dark red,silver metallic lustre
Unit cell$a=10.922(2)~\\text{Å} ,b=9.461(2)~\\text{Å} ,\\\\~~ c=7.459(1)~\\text{Å} $
Volume $(\\text{Å}^{3})$770.8(3)
Formula units per cell16
Space groupCmca- $D_{2 h}{ }^{18}$ (No. 64)
Density $\\rho_{\\text {calc }}, \\rho_{\\text {exp }}\\left(\\mathrm{g}~ \\mathrm{cm}^{-3}\\right)$2.411, 2.360
$\\mu\\left(\\mathrm{cm}^{-1}\\right)$3.41
Temperature $\\left({ }^{\\circ} \\mathrm{C}\\right)$25
Data collection$Four-circle diffractometer\\\\~STOE~~ STADI ~~4\\\\~graphite monochromator\\\\~\\lambda~\\ (\\text{Mo}K\\alpha) = 0.71073~\\ \\text{Å}$
Scan width $\\left({}^{\\circ}\\right)(50$ steps)1.5$~\\omega-\\theta$ scan, $~ for~ 3^{\\circ} \\leqslant 2 \\theta \\leqslant 65^{\\circ}$$~\\omega-2 \\theta$ scan, for $65^{\\circ} \\leqslant 2 \\theta \\leqslant 90^{\\circ}$
Time intervals per step (s)0.5-2.0
Standard reflections0 0 4, 0 -4 -2, -4 2 2
Min./max. $\\mathbf{2} \\theta$ $3^{\\circ}\\leqslant 2\\theta\\leqslant 90^{\\circ}$
hkl range$0 \\leqslant h \\leqslant 21,~-18 \\leqslant k \\leqslant 18,~-14 \\leqslant l \\leqslant 14$
No. of measured reflections5895
No. of unique reflections1569
$R_{int.}$0.025
No. of reflections with$~F^{2}>3 \\sigma\\left(F^{2}\\right)$836
Structure solutionSHELXS-86 (direct methods) [20]
RefinementSHELXS-76 [21]
No. of parameters52
Max. shift/ESD0.086
Max./min. peak indifference map$(e\\text{Å}^{-3})$$0.6 /-0.47$
$R^{\\mathrm{a}}$0.025
$R_{w}{ }^{\\mathrm{b}}$ $0.024\\left(k^{\\mathrm{c}}=0.6251, g^{\\mathrm{c}}=0.0005\\right)$
${ }^{a}R=\\frac{\\sum\\left(\\left||F_{\\mathrm{o}}\\right|-\\left|F_{\\mathrm{c}}\\right||\\right)}{\\sum\\left|F_{\\mathrm{o}}\\right|}$${\\cdot}$
$\\mathrm{^b}R_w = \\frac{\\sum \\left(||F_o| - |F_c||\\sqrt{w}\\right)}{\\sum \\left(|F_o|\\sqrt{w}\\right)}$${\\cdot}$
$\\mathrm{^c}w = \\frac{k}{\\sigma^2(F_o) + |g| \\cdot |F_o|^{2^{·}}}$
"} {"image_path": "images/59783dc199cc8aa90181f83b035a4ea4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ai)1)389939)0843
Slope(b+bi)1.198(0.686,1.711)2.059(1.232,2.886)
Slope(f+fi)14.291(11.938,16.645)6.068(2.417,9.719)
serostatus at1 mo0.324(0.239,0.408)0.357(0.237,0.478)
"} {"image_path": "images/564e2c19ed548a707d6bd5a233d375c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Correlation $Matrix^{a}$
ERSOCACRCSRCSOSDEMOLLR
Correlation (r)ERSO1.000.574.393.409.384.351.301.184
CA.5741.000.354.327.338.272.214.137
CR.393.3541.000.506.579.560.537.574
CSR.409.327.5061.000.756.650.725.680
CSO.384.338.579.7561.000.712.748.764
SD.351.272.560.650.7121.000.679.741
EMO.301.214.537.725.748.6791.000.746
LLR.184.137.574.680.764.741.7461.000
Sig. (1-tailed) ERSO.000.000.000.000.000.000.000
CA.000.000.000.000.000.001.000
CR.000.000.000.000.000.000.000
CSR.000.000.000.000.000.000.000
CSO.000.000.000.000.000.000.000
SD.000.000.000.000.000.000.000
EMO.000.001.000.000.000.000.000
LLR.000.000.000.000.000.000.000
a. Determinant =.006
"} {"image_path": "images/1aeeca7424460f746e0c57ec4e8fff45.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MetricsUnitRangeFormula and Description
NPNoneNP ≥ 0NP = $n_i$
NP equals the number of patches of the corresponding patchtype (class)
LPIPercent0 < LPI ≤ 100$LPI = \\frac{\\max\\limits_{1 \\leq j \\leq n} a_{ij}}{A} (100)$
LPI equals the area (m²) of the largest patch of thecorresponding patch type, divided by total landscape area (m²),multiplied by 100 (to convert to a percentage)
EDMeters per hectareED ≥ 0$ED = \\frac{\\sum_{k=1}^{m} e_{ik}}{A} (10,000)$
ED equals the sum of the lengths (m) of all edge segmentsinvolving the corresponding patch type, divided by the totallandscape area (m²), multiplied by 10,000 (to convert tohectares)
MPSHectaresMPS > 0$MPS = \\frac{\\sum_{j=1}^{n} a_{ij}}{n_i} \\left(\\frac{1}{100,000}\\right)$
MPS equals the sum of areas (m²) of all patches of thecorresponding patch type, divided by the number of patches ofthe same type, divided by 10,000 (to convert to hectares)
AWMPFDNone1 < AWMPFD ≤ 2$AWMPFD = \\sum_{j=1}^{n} \\left\\{ \\left[ \\frac{2\\ln(0.25p_{ij})}{\\ln a_{ij}} \\right] \\left( \\frac{a_{ij}}{\\sum_{j=1}^{n} a_{ij}} \\right) \\right\\}$
AWMPFD equals the sum, across all patches of thecorresponding patch type,of two times the logarithm of 0.25 thetimes patch perimeter (m), divided by the logarithm of patcharea $(\\text{m}^2)$,multiplied by the patch area $(\\text{m}^2)$ divided by totalclass area
AWMENNDMetersAWMENND ≥ 0$AWMENND = \\sum_{j=1}^{n} \\left[ h_{ij} \\left( \\frac{a_{ij}}{\\sum_{j=1}^{n} a_{ij}} \\right) \\right]$
AWMENND equals the sum, across all patches of thecorresponding patch type,of the nearest neighbor distance ofeach patch, multiplied by the proportional abundance of thepatch (i.e. patch area divided by the sum of patch areas)
"} {"image_path": "images/eb1cf9a6f23006c3f643fa2cb929f2d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaterialModulus of Elasticity$(N/{mm}^2)$Poisson’s RatioShear Modulus$(N/{mm}^2)$
$E_x$$E_y$$E_z$$V_{xy}$$V_{yz}$$V_{xz}$$G_{xy}$$G_{yz}$$G_{xz}$
Birch *158006004500.0500.4700.0201450200800
Birch Plywood18 mm **9148914883520.30.30.3620620620
Birch Plywood30 mm **8993899385070.30.30.3620620620
*Regináč1990** FFIF 2008
"} {"image_path": "images/8509903356d37a2e49ac9e4b99c3f28b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SolventExperimental$\\lambda_{\\text {abs }}$(nm)Computational
$\\lambda_{\\text {abs }}$(nm)E$(\\mathrm{L~mol}^{-1}\\mathrm{~cm}^{-1})$$\\lambda\\mathrm{em}$(nm)Stokes Shift$\\left(\\mathrm{cm}^{-1}\\right)$$\\Phi $%D$\\lambda\\mathrm{em}$(nm)%D
5aACN5908800067621560.015526-10.9545-24.0
DCM58812000065717860.038524-10.9543-20.6
DIOX58210000062612080.078507-12.9523-15.5
DMF602640006451107<0.001530-12.0549-18.2
DMSO612520006621234<0.001530-13.5549-21.3
EtOAc57210400064920740.037519-9.3536-19.4
EtOH5801520065720210.010526-9.4539-20.8
MeOH5824400066320990.012525-9.8544-21.7
Tol5669600060812200.109511-9.8527-12.0
5bACN6057200070423240.043529-12.5555-28.6
DCM6057200065713080.275529-12.6554-20.2
DIOX5797360064016460.379513-11.4536-17.7
DMF6234800---534-14.3560-
DMSO6226000---533-14.2560-
EtOAc5876800065818380.054529-9.9548-20.6
EtOH59815200---530-11.4555-
MeOH60017200---528-11.9554-
Tol5787400061811200.555517-10.5540-13.5
5cACN6027600066615960.044538-10.6562-21.5
DCM6007200065614230.272536-10.7562-19.8
DIOX5846400063313250.342517-11.5580-15.2
DMF614600006741450<0.001542-11.7566-22.8
DMSO621640006921652<0.001542-12.7566-26.0
EtOAc5846400063513750.283530-9.2559-16.1
EtOH5892000067120750.010538-8.6562-22.4
MeOH5934000065916890.043537-9.4561-20.3
Tol5797200062312200.458521-10.1579-13.5
"} {"image_path": "images/3e090f3e76ae0af19be112488d068f3b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
%$\\mathrm{NaBH}_4$$LiBH_4$$Ca(BH_4)_2$$NaBH4$
11-xx
Li-excess01.001.000.00
11.000.990.01
21.000.980.02
31.000.970.03
51.000.950.05
101.000.900.10
151.000.850.15
$\\text{LiBH}_4$$Ca(BH_4)_2$$NaBH4$
Stoichiometric1+x3-xx
01.003.000.00
21.062.940.06
51.152.850.15
% $Sr(BH_{4})_{2}$$LiBH_4$$Ca(BH_4)_2$$Sr(BH_4)_2$
Li-excess11-xx
51.000.950.05
"} {"image_path": "images/3abf82fb2179e061f76bdec058a7f89a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号项 目标 准 值
1生化需氧量 (BOD) $\\leqslant$80
2化学需氧量 (COD) $\\leqslant$150
3悬浮物 $\\leqslant$100
4阴离子表面活性剂(LAS) $\\leqslant$5.0
5凯氏氮 $\\leqslant$30
6总磷 (以P计算)$\\leqslant$10
7水温 $\\left({}^{\\circ} C\\right)\\leqslant$ 35
8pH $\\leqslant$$5.5 \\sim 8.5$
9全盐量 $\\leqslant$1000 (非盐碱土地区)2000 (盐碱土地区)有条件的地区可适当放宽
氯化物 $\\leqslant$250
10硫化物 $\\leqslant$1.0
11总汞 $\\leqslant$0.001
12总镉 $\\leqslant$0.005
13总砷 $\\leqslant$0.05
14六价铬 $\\leqslant$0.1
15总铅 $\\leqslant$0.1
16总铜 $\\leqslant$1.0
17总锌 $\\leqslant$2.0
18总硒 $\\leqslant$0.02
19氟化物 $\\leqslant$3.0 (高氟区) 2.0 (低氟区)
20氰化物 $\\leqslant$0.5
21石油类 $\\leqslant$0.05
22挥发酚 $\\leqslant$1.0
23苯 $\\leqslant$2.5
24三氯乙醛 $\\leqslant$1.0
25丙烯醛 $\\leqslant$0.05
26硼 $\\leqslant$1.0 (敏感作物:马铃薯、韭菜、洋葱)2.0(忍受力较强的:辣椒、小白菜、蒜等3.0(忍受力强的:萝卜、油菜、甘蓝等)
27
28粪大肠菌群数 $\\leqslant$10 000
29蛔虫卵数(个/升) $\\leqslant$2
"} {"image_path": "images/3978d28e722e6918855445b9b02ea7bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
申请人姓名年龄性别籍贯到职日与死亡员工关系住址
死亡员工工资及津贴总数
伤亡经过
适用条文
请发抚恤款数抚恤金 个月 总计 元扣除劳保给付计 实付 元
死亡证书
保证保证人姓 名职业与申请人关系身份证字号码地址
保证公司法人代表与申请人关系营业证字 号地址
总经理签章服务单位主管人事部门财务部门签章
申请人:身份证号码: 年 月 日
备注:(1)遗属申请抚恤者,应向人事部门请领申请表,照表填明呈报核实。(2)主管人员应严加审核。(3)保证人应以死亡员工的同事或朋友为限。(4)本表一式三份,一份存服务单位,一份存财务部门,一份呈报总公司。
"} {"image_path": "images/201809394728b333b7dc807915b8edbc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
定 额 编 号04-3-1-7504-3-1-7604-3-1-7704-3-1-78
项 目单位送预应力混凝土管桩(PC桩)
$\\Phi \\leqslant 400$$\\Phi \\leqslant 550$
$\\mathrm{L} \\leqslant 16 \\mathrm{~m}$$\\mathrm{L} \\leqslant 24 \\mathrm{~m}$
陆上支架上陆上支架上
mmmm
人工00070111综合人工(土建)工日0.04880.06350.08290.1202
材料01050102钢丝绳kg0.00010.00010.00030.0003
02190201尼龙绳kg0.00010.00010.00010.0001
02330401草垫0.00810.00810.02030.0203
35110701方木板(打桩专用)0.00270.00270.00680.0068
35110711圆木墩(打桩专用)0.00020.00020.00050.0005
35111062送桩器摊销kg0.04160.04160.10430.1043
机械99030030履带式柴油打桩机 2.5t台班0.0064
99030050履带式柴油打桩机 5t台班0.0108
99030120轨道式柴油打桩机 2.5t台班0.0083
99030140轨道式柴油打桩机 4t台班0.0157
99090090履带式起重机 15t台班0.00640.00830.01080.0157
"} {"image_path": "images/634c1b005c116c98feee9ee12223e8f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Кислота,Субстргэт Микроорга-низмНоситель!Примечания С!сылка
123456
УксуснаяэтанолAoetobacter *aceti, смешан-ные культурыAoetobaotersp.древеснаястружка,$Ti0_2$,,ZK>$_2$,хлопок,ке-рамика,стек-ло, DEAE-,TEAE-.DEPHAJB-ЕСТКОЬА-ЦРЛ -люлоза, вклю-чение в кол-лаген,карра-гинаниммобили-зованныеклетки при-МЕНЯЮТСЯ Впромышлен-НОСТИ*[9,20]
YKCyCHaA$CO_r$,E^ Acetobacterwoodi.Clost-ridiuin ace-tioum
Молочнаяглюкоза(крах-мал)МОЛОЧ -ная сы-воротка Lactobaoil-lus delbru-okii, Rhyzo-pus orizaeC!а-альгинат,агароза.ПААГ,полые волокнамембранные реакторывыпуска-ется в.Промышленноммасштабе(СК)*[18,351
"} {"image_path": "images/94136ce088188d55391e7b267f246d82.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Precone = 0.0,Droop = 0.0,Pitch = 0.0
RPM1st Flap2nd Flap3rd Fiap1st Edge1st Tor.
EXP05.2132.1791.8024.0243.61
FEM05.1832.4891.2223.3844.82
EXP4009.5336.6995.8924.3045.00
FEM4009.2837.2896.1924.6445.32
EXP60012.7542.37101.9524.5044.31
FEM60012.5842.53102.0326.1245.93
EXP80016.3049.40109.3024.7148.50
FEM80016.0348.92109.6628.0646.76
EXP100019.5255.93117.4125.0947.93
FEM100019.5456.07117.9530.0647.82
Precone = 5.0, Droop = 0.0, Pitch = 0.0
EXP05.1932.2890.5823.7844.14
FEM05.1932.4891.2323.3843.16
EXP100020.3255.12116.7224.5048.64
FEM100019.5356.07118.7030.3646.27
Precone = 0.0, Droop = 5.0, Pitch = 0.0
EXP05.2132.3691.3123.9144.24
FEM05.1932.4891.2323.3843.16
EXP100019.3755.30114.3424.4853.74
FEM100019.5356.07118.7030.3646.27
Precone = 5.0, Droop = 0.0, Pitch = 12.0
EXP05.1732.2290.6223.6343.95
FEM05.1932.4991.2323.3843.16
EXP 100018.71 54.62117.04 24.79 50.27
FEM100019.5256.06118.6930.3646.26
"} {"image_path": "images/aea274e68b98686418e814afcc6c22e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工程名称
施工单位支护方式
序号验收项目验收内容验收结果
1施工方案有支护方案并经上级审批,针对性强,能指导施工,有专项安全技术交底
2临边防护坑槽开挖深度不足2m,按规定放坡;超过2m时,应有临边防护设施
3坑壁支护坑槽开挖设置安全边坡应符合规范或设计要求;特殊支护做法符合设计要求
4排水措施有效排水措施坑外降水有防止临边建筑危险沉降措施
5坑边荷载堆放置物料、器具应符合设计要求;不符合规定要求时应有加固措施
6上下通道人员上下应设专用通道并有防滑措施
7作业环境基坑内作业人员必须有安全可靠立足点垂直作业,必须有切实可行的隔离防护措施;光线不足时应设置足够的照明
8基坑支护的监测有对支护变形和对毗邻建筑物及重要管线、道路的沉降观测方案和措施
验收意见:年 月 日项目负责人
技术负责人
施工负责人
安 全 员
分包单位负 责 人
"} {"image_path": "images/cba991660debddfab20b90ad0df0945c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GMD ($\\mu m$)
145.01.91.00.580.340.18<0.12
$Cl^-(nmol\\ m^{-3})$
Median0.120.520.440.150.090.120.120.31
Maximum2.097.317.60.730.563.590.621.02
Minimum0.030.050.120.040.030.010.020.14
$LWC\\left(nL\\ m^{-3}\\right)$
Median0.0300.0750.1280.0780.0430.0770.1050.039
Maximum1.21.62.05.911.318.06.03.3
Minimum>0.0010.0010.0030.0040.0010.0020.0050.013
CI (M)
Median3.86.32.72.12.01.71.52.8
Maximum>30>301330>30224.022
Minimum0.070.080.060.040.030.030.040.09
$\\varphi_{ClNO2}$
Median0.970.980.970.960.950.940.930.97
Maximum1.001.000.991.001.000.990.990.99
Minimum0.360.390.340.240.200.200.250.43
$N^a$2121201920201813
"} {"image_path": "images/247a09a602606c8497884bfc77add7bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Composition$\\mathrm{T}_{\\mathrm{peak}}$[K]$\\Delta\\mathbf{H}$[T]$-\\Delta\\mathrm{S}_{\\mathrm{M}}$[J/kg.K]RCP[J/kg]Ref.
$\\mathrm{La}_{0.7} \\mathrm{Ba}_{0.3} \\mathrm{MnO}_{3}$32122.6183.52This work
31911.6139.81
$\\mathrm{La}_{0.8} \\mathrm{Ba}_{0.2} \\mathrm{MnO}_{3}$24522.12 80.56This work
243 11.3038.91
$\\mathrm{La}_{0.9} \\mathrm{Ba}_{0.1} \\mathrm{MnO}_{3}$183 21.51111.2This work
18310.8847.1
$\\mathrm{La}_{0.7} \\mathrm{Ca}_{0.3} \\mathrm{MnO}_{3}$25932.60114[21]
11.1
Gd 29325-[22](*)
29324.2147
"} {"image_path": "images/e9ebc43d7e2584a9b925d02351682199.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
选挡杆位置挡位离合器制动器单向离合器
$\\mathrm{C}_{0}$$\\mathrm{C}_{1}$$\\mathrm{C}_{2}$$\\mathrm{B}_{0}$$\\mathrm{B}_{1}$$\\mathrm{B}_{2}$$\\mathrm{B}_{3}$$\\mathrm{F}_{0}$$\\mathrm{F}_{1}$$\\mathrm{F}_{2}$
内圈外圈内圈外圈
P停车$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$
$\\mathrm{R}$倒车$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$
N空挡$\\bigcirc$$\\bigcirc$
D1 挡$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$
2 挡$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$
3 挡$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$
4 挡$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$
21 挡$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$
2 挡$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$
L1 挡$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$$\\bigcirc$
"} {"image_path": "images/531efe539778f08211c022a116360872.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2010年平均价格/ (元/吨)最高价格/ (元/吨)最低价格/ (元/吨)
594282005400
2011年784283007200
2012年600070006000
2013年680068006500
2014年863392008000
2015年10092105009500
2016年104601050010000
2017年160001900012000
与2016年比/%+52.960+20.00
"} {"image_path": "images/4aaa613fdab502573874f0963b7c2e9b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StationCFEF$PLI_{CF-based}$$PLI_{EF-based}$PERImERM-QmPEL-Q
CdPbCdPb
St-18.42.910.272.684.85.22670.150.32
St-29.951.888.241.564.33.53080.160.34
St-38.82.516.561.874.63.52770.160.35
St-46.951.475.361.143.12.82160.110.25
St-511.92.0119.733.344.88.13670.180.40
Max/Min1.72.03.72.91.52.91.71.61.6
"} {"image_path": "images/59d3b044909f0e08207ce11791e09d99.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Initial values $X_0$Design point y*Optimal solution x*
Design variables$d_{7,1}$0.050.02630.0287
$d_{7,2}$0.050.02630.025
$d_{8,1}$0.050.0250.025
$d_{8,2}$0.050.0250.025
$d_{9,1}$0.030.04390.0574
$d_{9,2}$0.030.04390.0439
$d_{10,1}$0.030.0250.0251
$d_{10,2}$0.030.0250.025
Objective functionW1704.81460.41512.2
Optimization constraints$\\sigma_7$57.008564.313257.3138
$\\sigma_8$149.8332495.1656147.8543
$\\sigma_9$-2.0785-9.2829-2.0917
$\\sigma_{10}$725.8643500.7626261.8870
Reliability level$\\beta$2.55
"} {"image_path": "images/f458d2dc690d574aa66b75dc218010f6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
課程名稱 :中文名稱 :上瘾、藥物、咖啡因
英文名稱 :Addiction: The Most Used and Abused Drugs
授課年段 :二下學分總數:1
課程屬性 :實作(實驗)及探索體驗
師資來源 :校內單科
課綱核心素養:A自主行動:A1.身心素質與自我精進, A2.系統思考與問題解決, A3.規劃執行與創新應變
B 溥通互動:B2.科技資訊與媒體素養,B3.藝術涵養與美感素養
C 社會參與:C1.道德實踐與公民意識, C2.人際關係與團隊合作, C3.多元文化與國際理解
學生圖像 :整合力,實踐力
學習目標 :能分辨衛服定義的藥物,說出對人體的影響及其作用機制,並實際操作相關實驗、分析科學數據、繪製科學圖表。
教學大綱 :週次單元/主題內容綱要
第一週上癮介紹常見的成癮物質與其生理機制
第二週乙醇簡介介紹歷史上乙醇的製作、用途與毒性;實驗預講
第三週實作-1乙醇 、乙酸製作
第四週實作討論-1分析實驗結果、製作圖表與結報
第五週麴菌簡介介紹麴菌及其在生活中的應用;實作預講
第六週實作-2酒釀製作
第七週實作討論-2分析實驗結果、製作圖表與結報
第八週期中報告分組報告
第九週咖啡因簡介介紹咖啡因的歷史及對人體的影響機制
"} {"image_path": "images/74e1638d528d5bc95c2feaf947a3f16c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 度 (月) 别實 # 教實 負 利 息
IssuesInterest
101年595,000,000138,887,500
102年601,857,500149,499,063
103年675,311,500171,809,598
104年605,302,600135,127,345
105年563,503,30081,232,525
106年400,000,00063,043,750
107年347,301,40045,148,014
108年410,000,00045,356,250
109年535,000,00032,231,250
110年555,000,00040,800,000
11月30,000,0003,750,000
12月60,000,00011,625,000
111年455,650,10082,012,500
1月35,000,0007,000,000
2月60,000,0002,625,000
3月30,000,0005,250,000
4月55,000,0002,500,000
5月25,000,00015,000,000
6月55,000,0005,000,000
7月30,000,0001,500,000
8月30,000,0003,750,000
9月50,650,10011,200,000
10月30,000,0005,250,000
11月55,000,00022,937,500
"} {"image_path": "images/4a7110385f66d65ff9aae26ef143174f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Pier configuration / parametersExperimental condition
Circular, square and rectangular pier $(L / D=3,4.5,6,7.5$ and 9$)$ for vertical andfour inclined angles $(\\theta) 10,15,21$ and $30^{\\circ}$, respectively at $Q=4.92 \\mathrm{l} / \\mathrm{s}$123456
h(m)0.0480.050.060.070.0750.08
$F_{r}$0.370.350.270.210.190.17
$h/d_{50} $8083100117125133
h/D1.401.501.752.062.202.35
$V/V_{c} $1.061.010.830.700.650.60
"} {"image_path": "images/f8e74466b542d03cec85d2ebf3cdd996.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
State$\\delta$$\\alpha$[k,j][n,m]$\\|\\Delta\\psi_{n,m}^{(i)}\\|$
1s0.0250.9875[34,10][49,13]$\\boxed{0.500[-7]}$
0.0500.975[34,10][49,13]$\\boxed{0.500[-7]}$
0.0750.9625[34,10][49,13]$\\boxed{0.473[-7]}$
0.1000.95[34,10][49,13]$\\boxed{0.235[-7]}$
0.2000.90[34,10][49,13]$\\boxed{0.408[-7]}$
0.3000.85[34,10][49,13]$\\boxed{0.737[-7]}$
2s0.0250.9875[49,13][64,16]$\\boxed{0.219[-3]}$
0.0500.975[49,13][64,16]$\\boxed{0.218[-3]}$
0.0750.9625[49,13][64,16]$\\boxed{0.236[-3]}$
0.1000.95[49,13][64,16]$\\boxed{0.284[-3]}$
0.2000.90[49,13][64,16]$\\boxed{0.108[-2]}$
0.3000.85[49,13][64,16]$\\boxed{0.732[-2]}$
2p0.0250.47489[49,13][64,16]$\\boxed{0.435[-7]}$
0.0500.4495[49,13][64,16]$\\boxed{0.407[-7]}$
0.0750.424[49,12][64,15]$\\boxed{0.134[-6]}$
0.1000.3979[49,13][64,16]$\\boxed{0.500[-5]}$
0.2000.289[64,12][84,15]$\\boxed{0.212[-4]}$
0.3000.25[49,12][64,15]$\\boxed{0.652[-3]}$
3p0.0250.30[49,12][64,15]$\\boxed{0.395[-3]}$
0.0500.257[64,12][84,15]$\\boxed{0.167[-4]}$
0.0750.21[79,12][104,15]$\\boxed{0.265[-4]}$
0.1000.18[94,12][124,15]$\\boxed{0.399[-3]}$
3d0.0250.20[79,12][104,15]$\\boxed{0.877[-5]}$
0.0500.255[64,12][84,15]$\\boxed{0.892[-5]}$
0.0750.21[79,12][104,15]$\\boxed{0.102[-4]}$
0.1000.17[94,12][124,15]$\\boxed{0.237[-3]}$
4d0.0250.20[79,12][104,15]$\\boxed{0.218[-3]}$
0.0500.15[94,12][124,15]$\\boxed{0.161[-3]}$
0.0750.21[79,12][104,15]$\\boxed{0.121[-1]}$
"} {"image_path": "images/4d7e5df6c9456e00a9c12ede50f03f9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
item(s)supplier(i)$C_{is} $$ r_{is}(%) $$k_{is}(%)$$f_{is}$(%)D${_s}$B$_s$ F$_s$
11900899056001000050
275084883
380091855
21100087963800700070
290092836
3110097932
"} {"image_path": "images/1b89a12516ac8c5d0ad430ee24ce15a3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
This workRef.14Ref.18
Method$IB/\\gamma$$IB-\\gamma coinc.$$IB(circ. polar.)/\\gamma$
Decay$^{51}Cr(EC)^{51}V$$^{51}Cr(EC)^{51}V*$
Transition energy (ke V)$760 \\pm 15$$429 \\pm 16$
$751.4 \\pm 0.9^{a}$$431.3 \\pm 1.0^a$
Energy range (ke V)348.1 - 751.4130 - 425
$IB/EC ×10^{5}:%
Experiment$9.56 \\pm 0.60$$7.2 \\pm 0.4$
$Theory ^{b}: Martin and Glauber ^{c}$$9.49 \\pm 0.05$$5.56 \\pm 0.04$
Intemann$9.47 \\pm 0.05$$5.66 \\pm 0.04$
Exp.-to-theor. IB yield:
Martin and Glauber$1.01 \\pm 0.06$$1.29 \\pm 0.08$$0.67 \\pm 0.07$
Intemann$1.01 \\pm 0.06$$1.27 \\pm 0.08$
"} {"image_path": "images/176b95d1379ed7cddc437539cc73b0fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ACh-inducedcontractionACh-inducedcontractionNA-inducedcontraction
in duodenumin vas deferens
% reactivity
ControlN100100100
S16711781
AdrenalectomyN9910387
S14210988
Adrenalectomy
+DexamethasoneN123
S168
% recovery* by adrenalectomy35.8%64.7%105.3 %
Rate of relation* of dexamethasone-4.6%
"} {"image_path": "images/341bb7e01efd1b9076b5ae9349fb230a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GroupStudyPair-fedSpongesCyclophosphamide$\\Delta$ Serum PIIINP % (p)No. of rats
$\\mathrm{I}$A#-+- 13% (NS) 12
$\\mathrm{II}$--- 33% ($^{**}$)11
$\\mathrm{III}$B#++- 35% ($^{**}$)12
$\\mathrm{IV}$+-- 29% (NS)13
$\\mathrm{V}$--- 48% ($^{**}$)14
$\\mathrm{VI}$CStarv+-- 12% (NS)10
$\\mathrm{VII}$0+-+ 18% ($^{*}$)9
"} {"image_path": "images/405b4fdacceaebc11febc1bc1ea2a3ea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FunctionaldeteriorationInstitutionalizationDeath
PredictorPointScorePointScorePointScore
Baseline characteristics
Age
65-74000
75-844117
≥8571814
Gender
Male-2-35
Female000
Race
Non-Hispanic white000
Non-Hispanic black094
Hispanic0134
Other000
Education
≥High schooldiploma000
Below high schooldiploma202
Living arrangement
With spouse000
With children203
With others060
Alone162
Retirementcommunity0123
Dual eligibility
Medicare only-2-6-2
Medicare plusMedicaid000
Proxy interviewed
Beneficiary000
Proxy404
Health conditions
Alzheimer'sdisease/dementia7169
Anginapectoris/coronaryartery disease1-50
Complete/partialparalysis050
"} {"image_path": "images/fdce33160f5403e43459233d3eec7804.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$~~K_1$$\\text{GGC(Gly)} \\longrightarrow \\text{ter}$$~~K_2$$\\text{GGC(Gly)} \\longrightarrow \\text{ter}$$~~K_3$$\\text{GGC(Gly)} \\longrightarrow \\text{ter}$$~~K_4$$\\text{ATA(Ile)} \\longrightarrow \\text{ter}$
MetAla (1)ATGGCNterTrp (4)TGGACCTerMetPro (1)ATGCCNTerIleTyr (3)ATYTATAXATter
TrpAla (1)TGGGCNterTrpPro (1)TGGCCNTerIleMet (5)ATYATGTAXTACter
TrpHis (2)TGGCAYterTrpAla (3)TGGGCNACCCGTerIleAsn (5)ATYAAYTAXTTter
TrpGln (2)TGGCAXterMetAla (3)ATGGCNTACCGTer
TrpPro (2)TGGCCNterIleLys (5)ATYAAXTAXTTter
MetPro (3)ATGCCNTACGGterIleIle (5)ATYATYTAXTAter
TrpPro (3)TGGCCNACCGGterIleThr (5)ATYACNTAXTGter
"} {"image_path": "images/cfa58402cd373ad97ff340516b9f95d8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterUnitsInPInGaAsInAlAs
Electron
$\\mu_{\\max }$ $\\mathrm{cm}^{2}~\\mathrm{V}^{-1}\\sec ^{-1}$ 4917 [31-34]11 599 [31,35-41]4226 [35,41-43]
$\\mu_{\\min }$$\\mathrm{cm}^{2} \\mathrm{~V}^{-1} \\mathrm{~sec}^{-1}$ 03 372220
$N_c$$1~cm^{-3}$$6.4\\times101^7$$ 8.9\\times101^{6} $$ 1.5 \\times 101^{4} $
α0.460.760.27
$v_s$$cm~ sec^{-1}$ $9.2\\times 10^{6}~[22]$ $6.0 \\times10^{6}~[23,41,44]$$8.0 \\times 10^{6}~[29,41,45]$
Hole
$\\mu_{\\max }$$\\mathrm{cm}^{2} \\mathrm{~V}^{-1} \\mathrm{~sec}^{-1}$ 151 [23,31,34,46]331 [23,32,37]75 [47]
$\\mu_{\\min }$ $\\mathrm{cm}^{2} \\mathrm{~V}^{-1} \\mathrm{sec}^{-1}$ 207540
$N_c$$1 \\, \\text{cm}^{-3}$$ 7.4\\times 101^{7} $$ 1.0\\times 101^{8} $$ 3.8 \\times 101^{7} $
α0.961.370.79
$V_s$$cm ~sec^{-1}$$ 6.6\\times 10^{6}~[23]$$ 4.5\\times 10^{6}~[23,48] $$3.0 \\times 10^6$ [29]
"} {"image_path": "images/218fc81284c69281812d28b5eecd5473.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SourcedfSSMS$F_s$P
For homogeneity of regression slopes
Nettle population X nettle size10.9070.9071.0340.315
Residual4337.7410.878
For main effect of nettle population
Nettle size116.48916.48918.773<0.001
Nettle population11.2331.2331.4040.242
Residual4438.6480.878
"} {"image_path": "images/06af50ef8d93328939156fbbdd02e783.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Q6Q5Q4Q3Q 2Q1QuestionsImportance(orpreference) ofone mainattribute overanother
S2S1S1OOOAttributes
(7/2, 4, 9/2) Absolute
X (5/2, 3, 7/2) Very strong
XX(3/2, 2, 5/2) Strong
XXX(2/3, 1, 3/2) Fairly strong
(1,1,1) Equal
(2/3, 1, 3/2) Fairly strong
(3/2, 2, 5/2) Strong
(5/2, 3, 7/2) Very strong
DDS2DS2S1(7/2, 4, 9/2) Absolute
"} {"image_path": "images/460d7c8a5947ac4d15090701259a7b50.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Main groupsParameters
k$l$$a_{kl}$ (K)$a_{lk}$ (K)$b_{kl}$$b_{lk}$ $c_{kl}\\left(\\mathrm{K}^{-1}\\right)$$c_{lk}\\left(\\mathrm{K}^{-1}\\right)$
$\\mathrm{CH}_{2}$[Pip]-252.211058.82.62045.327-0.00503350.11891
C=C[Pip]-269.8260.97534.328-0.92972
ACH[Pip]676.76-243.59
OH[Pip]724.02907.682.34377.5899-0.0123470.13629
$\\mathrm{H}_2\\mathrm{O}$[Pip]5804.1-1109,7-14.77939.785
Cycl-$\\mathrm{CH}_{2}$[Pip]-31.932870.980.901411.3092-0.00145610.0005274
ACS[Pip]171.25-155,46
ACS$[NTf_{2}]$ 740.66250.06
$\\left[\\mathrm{NTf}_{2}\\right]$ [Pip]1006.01462.44.97196.02090.00399020.079008
"} {"image_path": "images/5e40b4dbe9288632e49b8b0065cdd5ef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$N_{h}$KS$\\tilde{E}(N_{h})$
$\\left(V_{\\mathrm{NN}}, V_{\\mathrm{NNN}}\\right)$ : (0,0)(1,0)$(1,1 / \\sqrt{2})$
1$(\\frac{2\\pi}{3},0)$$\\frac{1}{2}$-2.4847-6.4847-9.3131
2(0,0)0-2.5860-6.5112-9.2617
3$(\\frac{2\\pi}{3},0)$$\\frac{1}{2}$-2.4655-6.3192-8.9879
4(0,0)0-2.3780-6.1463-8.7199
Binding energies$E_B^2$-0.2026-0.05300.1029
$E_B^3$0.26020.54940.8728
$E_B^4$0.83201.45932.1673
"} {"image_path": "images/e9c2d4777bbe5ff696fd10e253d89e6f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Flowmetertotal-errorexpectedlimitMeasure-ment-rangetype$\\begin{aligned} & \\text { Volume of } n_{c} \\cdot n_{r} \\text { calibra- } \\\\ & \\text { tions for an approximating } \\\\ & \\text { equation of type }\\end{aligned}$
Q=bxQ=a+bxQ=a+bx++cx$^{2}$
below 0,5W5×58×5
N5×55×55×5
L3×53×5
from 0.5to 1.5W5×55×58×5
N3×55×5
L3×53×5
from 1.5to 3W5x55×5
N3×55×5
L3×5-
above 3W3×55×5
N3×33×5
L
"} {"image_path": "images/54409a3b0b6aa11d35df7d1d368c686a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ResonanceMP1MP2a
$E_R$$\\Gamma$ER$\\Gamma$
S-0.0768391.54[4]-0.0767891.51[4]
P-0.0752381.09[4]-0.0751951.00[4]
D-0.0726532.68[4]-0.0725964.96[4]
Na(4s)$E_t=-0.07167$ $E_{t}=-0.07158$
S-0.0666157.20[5]-0.0665966.91[5]
-0.0636281.62[5] -0.0636221.61[5]
-0.0628034.16[6]-0.0628024.34[6]
-0.0625811.14[6]-0.0625811.16[6]
-0.0625223.10[7]-0.0625223.07[7]
-0.0625068.68[8]-0.0625068.21[8]
P-0.0658135.28[5]-0.0658004.77[5]
-0.0633645.76[5]-0.0633645.51[5]
-0.0630711.90[4]-0.0630631.99[4]
-0.0627043.70[6]-0.0627034.50[6]
-0.0625528.12[7]-0.0625518.17[7]
-0.0625131.89[7]-0.0625131.11[7]
D-0.0646571.53[4]-0.0646441.70[4]
-0.0629573.50[5]-0.0629502.57[5]
-0.0625998.16[6]-0.0625955.58[6]
-0.0625221.83[6]-0.0625201.35[6]
$\\operatorname{Ps}(n=2)$$E_{t}=-0.062500$
"} {"image_path": "images/11b7497bac587a7b78836b2f14b51b5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SpecimenidentityMeasured .failureload (kN)Measuredcentral meanstrain atfailure $(\\mu\\varepsilon)$Calculated loadwith mean strainat failure (kN) Differencebetween twoloads (%)Calculated meanstrain withfailure load $(\\mu\\varepsilon)$ Differencebetween twostrains (%)
Control 0135.77110145.5+6630-7
Control 1147.27410151.7+37192-3
Control 2169.2
Control 3125.85825119.2-56146+6
$7200^{a}$147.4-17
Average144.5 ± 1968886 ± 719141.0 ± 15-46656 ± 523-3
"} {"image_path": "images/b1c1c4e2982b30e25b35f1fce448fb5c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目行 次本年计划上年实际本年实际
1、工资
2、职工福利费
3、折旧
4、办公费
5、差旅费
6、运输费
7、保险费
8、租赁费
9、修理费
10、咨询费
11、诉讼费
12、排污费
13、绿化费
14、物料消耗
15、低值易耗品摊销
16、无形资产摊销
17、递延费用摊销
18、坏帐损失
19、研究开发费。
20、技术转让费
21、业务招待费
22、工会经费
23、职工教育经费
24、待业保险费
25、劳动保险费
26、税金房产税车船使用税土地使用税印花税
27、土地损失补偿费
其 他
管理费用合计
"} {"image_path": "images/3481f7d7c6a1b8abd4f5d2fa3d12ed7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
E (keV)$\\theta~(deg)$q (a.u.)$\\mathrm{d} \\sigma / \\mathrm{d} \\Omega (a.u.)$$\\left[\\frac3{\\gamma}\\left(\\frac{\\mathrm{d}\\sigma}{\\mathrm{d}\\Omega}\\right)^{1/2}\\right]^{1/v}$$u^{1/2}q$$\\frac{1}{1+u q^{2}}$
He351.2960.3670.7750.5050.797
102.590.1270.4771.0100.495
153.880.04510.2971.5130.304
205.160.01830.1972.010.198
256.430.008390.1382.510.137
307.690.004330.1023.000.100
358.930.002440.0783.480.076
4010.20.001460.0623.980.060
4511.40.000900.0504.450.048
Ne35-0.52910.720.9570.9580.958
-1.067.860.8120.4190.851
-1.595.360.6640.6280.717
Ar35- 2.542.90.4801.010.497
-0.31780.00.9790.1620.974
-0.52971.50.9290.2700.932
"} {"image_path": "images/164511e78be6fe88d9ac83ba2cf94ded.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DPM =0.200.300.100.100.100.100.00.0
0.400.300.100.200.100.100.00.0
0.100.100.300.200.00.100.100.10
0.100.100.100.100.200.200.100.10
0.100.100.100.100.200.200.100.10
0.100.100.100.100.200.200.200.10
0.00.00.100.100.100.00.200.30
0.00.00.100.100.100.100.300.30
"} {"image_path": "images/72ffd7136305b14645339b97996bb1aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableDivision in surveyRegression label
Age16-24LOW_AGE
25-34MED_LOW_AGE
35-49MED_AGE
50-64MED_HIGH_AGE
65-Excluded category
Income0-210 000LOW_INCOME
210 001-365 000MED_LOW_INCOME
365 001-621 000MED_HIGH_INCOME
621 001-Excluded category
MISSING_INCOME
EducationBasicLOW_EDUCATION
Upper secondaryMED_EDUCATION
TertiaryExcluded category
Type of housingOwned apartmentCombined to OWN_HOUSE_APT
Owned houseCombined to OWN_HOUSE_APT
Rental apartmentCombined to excluded category
OtherCombined to excluded category
EmploymentUnemployedUNEMPLOYED
EmployedExcluded category
SexFemaleFEMALE
MaleExcluded category
FamilySingle without childrenHH_SINGLE
Single with childrenHH_SINGLE_CHILD
Married/cohabiting with childrenHH_MARRIED_CHILD
OtherHH_OTHER
Married/cohabiting without childrenExcluded category
RegionBig city countyCITY
Forest countyExcluded category
OtherLOCATION_OTHER
"} {"image_path": "images/405a628935990f3a985fcade445d7037.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\theta_{0}=(0.0,0.5,0.1,0.18,0.4)$$\\theta_{0}=(0.0,0.5,0.1,0.2,0.4)$
Self-weighted QMELE$\\left(\\hat{\\boldsymbol{\\theta}}_{s n}\\right)$Self-weighted QMELE$\\left(\\hat{\\boldsymbol{\\theta}}_{s n}\\right)$
$\\hat{\\boldsymbol{\\mu}}_{s n}$$\\hat{\\phi}_{1 s n}$$\\hat{\\alpha}_{0sn}$$\\hat{\\alpha}_{1sn}$$\\hat{\\beta}_{1 s n}$$\\hat{\\boldsymbol{\\mu}}_{s n}$$\\hat{\\phi}_{1 s n}$$\\hat{\\boldsymbol{\\alpha}}_{\\mathbf{0 s n}}$$\\hat{\\alpha}_{1sn}$$\\hat{\\beta}_{1 s n} \\quad \\hat{\\beta}_{1 s n}$
Bias0.0004-0.00370.00590.0081-0.0202-0.0005-0.00260.00320.0088-0.0158
SD0.02310.04160.02890.06000.10840.02210.04040.02520.06190.0968
AD0.02330.03930.02820.06200.11010.02380.03930.02660.06370.1001
Local QMELE$\\left(\\hat{\\boldsymbol{\\theta}}_{s n}\\right)$Local QMELE$~\\left(\\hat{\\boldsymbol{\\theta}}_{n}\\right)$
$\\hat{\\mu}_{n}$$\\hat{\\phi}_{1 n}$$\\hat{\\boldsymbol{\\alpha}}_{\\mathbf{0} n} \\hat{\\boldsymbol{\\alpha}}_{\\mathbf{0} n} \\quad$$\\hat{\\alpha}_{1sn}$$\\hat{\\beta}_{1 n}$$\\hat{\\mu}_{n}$$\\hat{\\phi}_{1 n}$$\\hat{\\boldsymbol{\\alpha}}_{\\mathbf{0} n}$$\\hat{\\boldsymbol{\\alpha}}_{1 n} \\quad \\hat{\\boldsymbol{\\alpha}}_{1 n}$$\\hat{\\beta}_{1 n}$
Bias0.0011 -0.00390.00410.0011-0.01150.0001-0.00280.00190.0029-0.0092
SD0.02290.03280.02560.04290.09550.02180.03250.02260.04500.0842
AD0.02280.03140.02520.04610.09180.02330.03170.02430.04830.0851
Self-weighted QMLE $\\left(\\bar{\\boldsymbol{\\theta}}_{s n}\\right)$Self-weighted QMLE $\\left(\\bar{\\boldsymbol{\\theta}}_{s n}\\right)$(θsn)
$\\bar{\\mu}_{s n}$$\\bar{\\phi}_{1 s n}$$\\bar{\\alpha}_{0sn}$$\\bar{\\alpha}_{1sn}$$\\bar{\\beta}_{1 s n}$$\\bar{\\boldsymbol{\\mu}}_{s n}$$\\bar{\\phi}_{1 s n}$$\\overline{\\boldsymbol{\\alpha}}_{\\mathbf{0 s n}}$$\\hat{\\alpha}_{1sn}$$\\bar{\\beta}_{1 s n}$
Bias-0.0056-0.01510.00290.0503-0.05940.0036-0.01410.01150.0442-0.0543
SD0.96570.10450.08680.25210.17400.18270.10650.38710.21640.1605
AD0.05360.090733.0310.179534.4980.05170.0876138.380.187511.302
Local QMLE $\\left(\\bar{\\boldsymbol{\\theta}}_{s n}\\right)$Local QMLE $\\left(\\bar{\\boldsymbol{\\theta}}_{s n}\\right)$
$\\bar{\\mu}_{n}$$\\bar{\\phi}_{1 n}$$\\bar{\\alpha}_{0n}$$\\bar{\\alpha}_{1 n}$$\\bar{\\beta_{1 n}}$$\\bar{\\mu}_{n}$$\\bar{\\phi}_{1n}$$\\bar{\\alpha}_{0n}$$\\bar{\\alpha}_{1 n}$$\\bar{\\beta_{1 n}}$
Bias-0.0048-0.0216-0.0216-2.1342 0.01853.7712-0.0010-0.02031.32410.0253-0.1333
SD0.05170.108038.5350.359683.7040.05210.131842.2500.25243.4539
AD0.05080.066155.7170.144745.0550.05200.070713.7610.15351.1343
"} {"image_path": "images/5763bf23b6113d7ba6e42b61590f50ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Heavy metalsInitial concentration (mg/l)Final concentration (mg/l)
Synthetic solutionIndustrial effluent
Pb(II)2022.53
403.173.36
6015.9216.71
8024.7624.9
10035.636.7
Cd(II)202.773.25
408.188.98
6018.9719.93
8032.8933.18
10048.349.1
Zn(II)203.453.57
407.767.98
6019.721.3
8032.133.67
9040.5141.03
"} {"image_path": "images/7b75ff3ac661b80158fc02123e839334.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
192919361948
MeanSDMeanSDMeanSD
Total $income^c$3,4933,0794,9063,8634,5093,609
Per capita $income^c$8447801,2561,2531,182996
Percentage of riceoutput marketed41.10.25380.2290.2
Number ofhouseholds490588596
"} {"image_path": "images/f00c9758c3f8bdccc28a7766f84e89bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2. 遵循浇注系统的设计原则。3. 工作页引导。4. 查阅学习资料。5. 小组讨论。6. 教师指导。7. 模流分析。8. 客户反馈。
五、教学难点及其化解方法
教学难点:计算浇注系统各组成部分的相关设计参数,与客户沟通协调,修改设计参数,优化设计方案。化解方法:1. 仔细分析塑件,对比浇注系统各组成部分不同结构形式的利与弊。2. 遵循浇注系统的设计原则。3. 查阅学习资料。4. 小组讨论。5. 模流分析。6. 教师指导。7. 客户反馈。
六、教学策略选择与设计
1.引导文学习: 学生在工作页的引导下, 认真思考, 积极参与并动手实践。2.创设教学情境: 以生产企业的真实产品为载体, 构建教学项目, 创设与企业真实设计一致的设计环境。
企业设计环境学校学习环境
模具设计人员工作条件一台电脑学生在校学习条件每人一台电脑
模具设计人员工作内容设计模具学生在校学习方式设计模具
模具设计人员设计模具用于塑料制品生产学生在校设计的模具从企业实际生产中选择
模具设计人员使用软件Pro/E 或 UG学生设计使用的软件UG
3. 任务驱动法: 以真实产品的真实模具设计工作过程为导向, 学生在完成“注射模浇注系统的设计”任务的驱动下, 通过对任务分析、讨论, 明确它涉及的知识以及需要解决的问题; 在老师的指导和帮助下, 通过对学习资源的主动应用, 在自主探索和互动协作的学习过程中, 找出完成任务的方法, 最后通过任务的完成情况检验学习效果。4. 小组合作学习: 培养学生良好的团队意识、合作学习的习惯,促进学生个性发展等。
七、教学环境及资源准备
资源准备:学材、注射模注塑原理视频、课件、《注塑模具设计师速查手册》、参考书、塑件、注射模一套、卧式注射机、模具拆装工具。
"} {"image_path": "images/05e51d87350c37c838b2e402624b9a58.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SamplePeak area (%)$X^\\#$(%)
1693 $cm^{-1}$1709 $cm^{-1}$1721 $cm^{-1}$1733 $cm^{-1}$
PU00L15.3628.5530.8625.2246.22
PU00H20.6229.3225.9624.0946.58
PU5022.4721.5734.1321.8356.60
PU7525.7020.5136.0117.7861.71
PU10026.9420.1637.3415.5664.28
"} {"image_path": "images/af02badc6bf96237a1392e34ab5e506c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PSNR for test imagesIntegral images’ computation algorithms
MSTDSEQMRCLSEQMRCLSWPMRCLNVEMRCLFAN
window sizes6518,98232,59136,53937,11437,878
25,88328,95832,87233,48234,327
38,34030,90734,94835,47436,416
48,56631,20335,19335,90836,792
12918,34732,32737,63838,38939,119
25,80630,84136,18637,07737,837
39,08035,50040,70941,74342,415
49,39436,07341,32442,00643,010
Average values
window sizes657,94330,91534,88835,49536,353
1298,15733,68538,96439,80440,595
"} {"image_path": "images/b14f04cb7036fc90d75535ee992a8915.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Application rate$\\text{K}_2\\text{CO}_3$ (g/kg)†First cutting, 1983Third cutting, 1982Averageoverbothcuttings
Solution,L/haCut 1Cut 3FirstdayAfter firstdayAverageFirstdayAfter firstdayAverage
00.00.00.1190.1240.122$^a$0.1020.1580.130$^a$0.127$^a$
1500.91.50.1330.1170.125$^ab$0.1530.2190.186$^b$0.156$^b$
1502.74.70.1290.1230.126$^ab$0.1650.2130.189$^b$0.157$^b$
3001.83.00.1440.1340.139$^bc$0.1820.2280.205$^b$0.172$^b$
3002.74.70.1570.1410.149$^c$0.1800.2260.203$^b$0.176$^b$
4702.74.70.1570.1360.147$^c$0.2100.2960.253$^c$0.200$^c$
"} {"image_path": "images/84ece7cfcb4ad50870a3d1167b99fee9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ISIC rev. 31US GrowthGlobal PE levelGlobal PE GrowthR&D IntensityInvestmentLumpinessExternalFinanceDependence
MeanMeanMeanNMedianNMedianNMedian
15Food products and beverages-1.5%23.872.3%810.1543270.694251-0.117
16Tobacco products-2.0%13.952.8%100.245231.04316-0.124
17Textiles-2.3%19.410.8%230.4341180.517690.204
18Wearing apparel-7.7%19.410.8%50.000581.75950-0.382
19Leather-4.9%17.24-2.1%140.789411.90231-1.548
20Wood and cork0.2%20.523.1%140.077710.46548-0.061
21Pulp and paper products-0.2%20.652.4%590.1461430.476120-0.020
22Publishing and printing4.8%24.671.5%470.7452391.490172-0.217
23Coke and refined petroleum4.9%18.921.2%540.0601460.8491090.658
24Chemical products1.9%19.561.9%11974.17115732.25413001.821
25Rubber and plastic2.3%16.980.7%900.2572120.675138-0.082
26Other non-metallic mineral products1.8%13.870.4%490.1571200.79285-0.101
27Basic metals0.7%17.58-0.8%580.1311860.5381390.073
28Fabricated metal products0.4%27.17-0.1%570.2151980.429114-0.320
29Machinery and equipment0.8%23.270.0%3970.8367051.216482-0.117
30Office machinery and computers14.5%38.451.5%3223.9705122.6213360.886
31Electrical machinery and apparatus-0.6%31.292.2%2371.3633711.7332690.417
32Radio, television and communication equipment14.7%41.131.2%4002.4056112.3734390.840
33Medical, precision and optical instruments17.7%29.762.8%6732.93310082.1447110.665
34Motor vehicles2.1%16.863.0%650.3921151.200900.170
35Other transport equipment2.3%20.902.6%940.6171740.954129-0.117
36Manufacturing n.e.c.NA20.66-0.3%910.5372381.403166-0.141
"} {"image_path": "images/049cc20ccda103618a84d69ccefbef7d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
systemWilson NRTL
$\\Delta y_{1}$$\\Delta T/K$$\\Delta y_{1}$$\\Delta T/K$
toluene (1) + NFM (2)ave0.00570.170.00810.30
max0.01080.410.02831.04
o-xylene (1) + NFM (2)ave0.00470.200.00540.22
max0.01090.430.01400.55
m-xylene (1) + NFM (2)ave0.0037 0.150.00480.19
max0.01090.450.01190.45
p-xylene (1) + NFM (2)ave0.00340.140.00270.11
max0.0081 0.340.00740.31
"} {"image_path": "images/fbe4b01ce321a37079afaa6d46e06f71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sampling sites (n)$ERa_{50}-22$ transects$ERa_{50}-10$ transects$ERa_{50}-5$ ransects
50201262012620126
Statistics
a)
Mean17.3417.9818.3615.9517.9218.7618.7417.3818.0618.80
Standard deviation4.796.277.106.556.037.488.676.657.738.33
b)
Mean17.3418.2417.6018.0118.4518.5117.5218.8518.2220.09
Standard deviation4.796.836.336.746.676.527.977.196.967.68
"} {"image_path": "images/e286e74dde38bd7fc4281920dacb6e27.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Description$\\begin{matrix}H_s \\\\(m)\\end{matrix}$$I_{Hs}$
Most spots are flat<0.50
Most spots present small wave height0.5-12.5
Only exposed spots present optimal surfable wave height1-1.57.5
Most spots present optimal surfable wave height1.5-510
Only most sheltered spots present optimal surfable wave height>55
DescriptionW(m/s),βw°$I_w$
Calms or suitable offshore winds$0^\\circ \\leq \\beta_W \\leq 90\\ \\&\\ W \\leq 3$1
- 180 $<\\beta_{W}<0 \\& W \\leq 15$
Choppy onshore or unpleasant offshore winds$0 \\leq \\beta_{W} \\leq 90 \\& 50.5
$ -180<\\beta_{W}<0\\& 20
Too windy for surfing$ 0\\leq\\beta_{W}\\leq 90\\& W\\geq 15-180<\\beta_{W}<0\\& W\\geq 30 $0
Description$T_p$$I_{Tp}$
(s)
Unsurfable<6 0
Bad quality surf6-82.5
Can create some good surfing conditions in exposed beach breaks8-105
Create good surfing conditions in many beach and point breaks10-127.5
Create good surfing conditions in point and reef breaks. Beach breaks use to close out>1410
DescriptionSSTIc
(℃)
Extremely uncomfortable, even with wetsuit (6 mm), booties, gloves and hood<40.5
Uncomfortable, even with wetsuit $(5 \\mathrm{~mm})$, booties, gloves and hood4-80.75
Moderately comfortable. Wetsuit (4 mm), booties, gloves and hood are needed8-120.8
Moderately comfortable. Wetsuit (4 mm) is needed12-160.85
Comfitable. Spring sui t(3 mm) is needed16-200.9
Ideal conditions. Spring suit, shortly or no wetsuit>201
"} {"image_path": "images/e053f1ccda24465e06fbdae0b973094a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Link identifierAgent
StartFinishLength (m)
a1727,922
b1823,144
c11093,452
p294,063
e3113,815
f6548,103
g6738,879
h6985,942
i611119,511
j7458,234
k7638,879
17832,317
m8732,317
n81071,020
o9685,942
P91142,885
q10871,020
r101193,768
s101267,587
t101485,131
n116119,511
v11942,885
w111093,768
x111376,875
"} {"image_path": "images/19e31b2b8a6439d7781a332898087e4b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
龄别材料农药倍数供试头数成活头数96h 结茧数96h 化蛹数
24h48h72h96h
3 龄家蚕100050000000
150050000000
200050000000
野桑蚕100050766500
1500501716131000
2000501919171500
CK504444424100
4 龄家蚕100050000000
150050000000
200050000000
野桑蚕10005017151311100
1500503934313070
2000503732323231
CK504040393711
5 龄家蚕100050000000
150050000000
200050000000
野桑蚕10005024232020124
1500503837353586
20005041413837108
CK504443434033
"} {"image_path": "images/9fb1cab6bae0b82e6706edf78c7a580a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省 份发布主体文件名称
安 徽安 徽 省 人 民 政 府《安徽省人民政府关于加强地方政府性债务管理的实施意见》
福 建福 建 省 人 民 政 府《福建省人民政府关于加强政府性债务管理的实施意见》
福 建 省 财 政 厅《福建省财政厅关于对地方政府债务实行限额管理的实施意见》
甘 肃甘 肃 省 人 民 政 府《关于妥善解决地方政府融资平台公司在建项目后续融资问题的通知》
甘 肃 省 人 民 政 府《甘肃省人民政府关于加强政府性债务管理的实施意见》
广 西广 西 壮 族 自 治 区人 民 政 府 办 公 厅《关于开展地方政府存量债务清理甄别工作的通知》
广 西 壮 族 自 治 区 人民 政 府《广西壮族自治区人民政府关于进一步加强政府性债务管理的意见》
河 北河北省人民政府《河北省人民政府关于加强政府性债务管理工作的意见》
河 北 省 财 政 厅《河北省财政厅关于进一步加强政府性债务管理的通知》
黑 龙 江黑 龙 江 财 政 厅 《 2015 年黑龙江政府一般债券发行管理办法》
黑 龙 江 财 政 厅《 2015 年黑龙江政府专项债券发行管理办法》
吉林吉 林 省 人 民 政 府《吉林省政府债务管理办法 ( 试行 ) 》
吉 林 省 人 民 政 府《吉林省人民政府关于进一步加强政府性债务管理的实施意见》
吉 林 省 财 政 厅《吉林省地方政府性债务规模管理和风险预警指标监测管理办法》
吉林省财政厅《吉林省地方政府性债务收支计划编制办法》
吉林省财政厅《吉林省地方政府性债务举借核准管理办法》
吉林省财政厅《吉林省地方政府性债务偿债准备金管理办法》
吉林省财政厅《吉林省地方政府融资平台公司财务管理办法》
吉林省人民政府《吉林省政府债务管理办法 ( 试行 ) 》
江西江西省人民政府办公厅《江西省政府性债务管理暂行办法的通知》
江西省财政厅《关于对地方政府债务实行限额管理的实施意见》
宁夏宁夏回族自治区人民政府《宁夏回族自治区政府性债务管理办法》
青海青海省财政厅《青海省地方政府债务实行限额管理办法》
青海省政府办公厅《青海省人民政府关于深化政府性债务管理改革的意见》
青海省政府办公厅《青海省地方政府债务风险评估和预警暂行办法》
"} {"image_path": "images/84f8a9610a93bc7aa71bfa66f6eda97b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Yb contentFluorescence lifetime ($\\mu s$)x, y Values
(mol%)$^4S_{3/2}$$^4F_{9/2}$$^4I_{13/2}$$^4F_{5/2}$(Yb)ExperimentalModel
134171878909600.349, 0.6500.333, 0.666
234568180608100.358, 0.6410.344, 0.655
531254584205200.363, 0.6360.373, 0.626
1027950784804300.396, 0.6030.413, 0.586
2018731185202800.462, 0.5370.470, 0.529
308614983101300.516, 0.4800.510, 0.489
"} {"image_path": "images/9ba93a084abe87f6aa24d3d2795e9400.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reaction$π~^+$ p$K~^+$ p
TopologyN$\\Sigma W$$\\begin{aligned} & \\sigma~(~\\mu \\mathrm{b}) \\\\ & \\left|t_{M \\rightarrow M}\\right|>0.03 ~\\mathrm{GeV}^2\\end{aligned}$$\\begin{aligned} & \\sigma~(~\\mu \\mathrm{b}) \\\\ & \\text { corrected }\\end{aligned}$N$\\Sigma W$$\\begin{aligned} & \\sigma~(~\\mu \\mathrm{b}) \\\\ & \\left|t_{M \\rightarrow M}\\right|>0.03~ \\mathrm{GeV}^2\\end{aligned}$$\\begin{aligned} & \\sigma~(~\\mu \\mathrm{b}) \\\\ & \\text { corrected }\\end{aligned}$
2 prong2341.2 $13.1\\pm 2.8$ $16.1 \\pm 3.5$1319.9 $10.0\\pm 2.7$ $11.6 \\pm 3.2$
4 prong56116.5 $31.0\\pm 4.7$ $36.4\\pm 5.5$ 2437.4 $18.6\\pm 3.8$ $21.0 \\pm 4.3$
6 prong45.3$ 1.9\\pm 0.9 $$2.3 \\pm 1.2$34.0 $2.0\\pm 1.2$ $2.3 \\pm 1.3$
Total83163.0$46.0 \\pm 4.9$$ 54.8 \\pm 6.6$4061.3$30.6 \\pm 4.8$$34.9 \\pm 5.5$
"} {"image_path": "images/5823d041e61049e85624c886c4def200.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fit$m_l = m_a$$m_l = m_s$
parameterslinearquadraticlinearquadratic
$\\Phi_{0}^{\\mathrm{PS}}\\left[\\mathrm{GeV}^{3 / 2}\\right]$0.48(5)0.66(11)0.56(5)0.74(8)
$\\Phi_{1}^{\\mathrm{PS}} / \\Phi_{0}^{\\mathrm{PS}}[\\mathrm{GeV}]$-0.75(6)-1.60(22)-0.83(5) -1.70(16)
$\\sqrt{\\Phi_{2}^{\\mathrm{PS}} / \\Phi_{0}^{\\mathrm{PS}}}[\\mathrm{GeV}]$-1.60(22) 1.08(6)
$\\Phi_{0}^{V}\\left[\\operatorname{GeV}^{3 / 2}\\right]$0.51(7) 0.70(12)0.61(6)0.81(10)
$\\Phi_{1}^{V} / \\Phi_{0}^{V}[\\mathrm{GeV}]$-0.63(9)-1.62(24) -0.74(6)-1.65(17)
$\\sqrt{\\Phi_{2}^{V} / \\Phi_{0}^{V}}[\\mathrm{GeV}]$1.09(9)1.08(6)
"} {"image_path": "images/8f46da61dbf0d5ac3611904f1b8bbccf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ItemsExplanatoryvariable$R_{ adjust}^{2}$B$SME_{b}$P values
$P_{R}\\ ^{2}$$P_{b}$
LactatepH0.9100.4030.141<0.0010.012
C0.2680.021<0.001
LDHpH0.725-1.3670.247<0.001<0.001
C0.1460.0360.001
$\\alpha$-AMYpH0.781-1.1670.220<0.001<0.001
C0.1910.032<0.001
FDPpH0.7650.4000.229<0.0010.101
C0.2480.034<0.001
LDHpH0.765-1.2150.228<0.001<0.001
C0.1810.034<0.001
PFLpH0.189-1.0350.4250.0820.028
C-0.0080.0620.905
$\\alpha$-AMYpH0.593-0.6410.301<0.0010.050
C0.2090.044<0.001
CCPApH0.401-0.8430.3650.0080.036
C0.1520.0540.013
"} {"image_path": "images/5f98b48312dcf78e0b7291052b886636.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
derivativeiron beads organicpowders
Q/M,nC/g $N_R$,$\\mu mol/g$Q/M,$\\mu C/g$Q/N,$\\mu C/mol$
p-X-salicylaldehyde anils
H-551.72.2433
$CH_3O$-2102.38.41900
p-X-benzaldehyde anils
H-6.70.90.2749
$CH_3O$-631.42.51530
p-X-anilines
$NO_2$+200.8-0.8-110
$CH_3$-1.00.40.044.3
$CH_3O$-7.81.10.3138
$NH_2$-872.03.47375
"} {"image_path": "images/ae6da5bf8ebb7acb3e8139382cefe159.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PCI局部基址的偏移地址 为确保与PCI 9052 系列的其他版本的软件兼容性以及为确保与未来功能增强的兼容性,将所有的未用位写为“0”PCI 和串行EEPROM可写
31 0
00h局部地址空间 0 范围寄存器Y
04h局部地址空间 1 范围寄存器Y
08h局部地址空间 2 范围寄存器Y
0Ch局部地址空间 3 范围寄存器Y
10h局部扩展 ROM 范围寄存器Y
14h局部地址空间 0 的局部基址(再映射)寄存器Y
18h局部地址空间 1 的局部基址(再映射)寄存器Y
1Ch局部地址空间 2 的局部基址(再映射)寄存器Y
20h局部地址空间 3 的局部基址(再映射)寄存器Y
24h扩展 ROM 的局部基址(再映射)寄存器Y
28h局部地址空间 0 的总线区域描述符寄存器Y
"} {"image_path": "images/576ad0ac05c66a8b73e96054466532d6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesExports to United StatesExports to \"world\"
1 digit(1)2 digit(2)1 digit(3)2 digit(4)
Temperature (degrees Celsius)0.364(0.421)0.114(0.465)-0.356(0.289)-0.192(0.326)
Temperature x Poor $-4.173^{***}$(1.272)$-5.812^{***}$(1.409) $-1.637^{*}$(0.846)$-2.216^{**}$(0.942)
Precipitation (100 mm/year)0.0830(0.105)0.0141(0.110)-0.0526(1.103)-0.0878(0.0882)
Precipitation x Poor0.0166(0.138)0.253(0.195)0.105(0.149) $0.415^{***}$(0.152)
Observations19,16463,99031,654123,956
Years1973-20011973-20011963-20001963-2000
Product categories10661070
$R^2$0.1650.1880.3080.297
Poor effect $-3.810^{***}$(1.235) $-5.698^{***}$(1.255)$-1.993^{**}$(0.833) $-2.409^{***}$(0.916)
"} {"image_path": "images/d762a97abb63189cd24b90a969e763f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PointAnatomical structureNomenclature
1Linea AlbaLA
2Rectus Abdominis muscleRA
Posterior rectus sheathF post RA
3Anterior fascia of external oblique muscleF ant EO MAM
External Oblique muscleEO MAM
Fascia between external and internal oblique musclesF EO-IO MAM
Internal Oblique muscleIO MAM
Fascia between internal oblique and transversus abdominis musclesF IO-TA MAM
Transversus Abdominis musclesTA MAM
Posterior fascia of transversus abdominis musclesF post TA MAM
4Anterior fasciaof external oblique muscleF ant EO AXIL
External Oblique muscleEO AXIL
Fascia between external and internal oblique musclesF EO-IO AXIL
Internal Oblique muscleIO AXIL
Fascia between internal oblique and transversus abdominis musclesF IO-TA AXIL
Transversus Abdominis musclesTA AXIL
Posterior fascia of transversus abdominis musclesF post TA AXIL
"} {"image_path": "images/19c788082ab4adc1ebb17efc074a5cc6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\text{Cd}^{2+}$ original concentration (mg/L)$ \\ln r=n\\ln C+\\ln k_{\\mathrm{obs}} $n$k_{obs}\\left((\\mathrm{mg} /\\mathrm{L})^{1-n}/\\mathrm{min}\\right)$ $R^{2}$
Intial pH10$ \\ln r=0.954\\ln C-2.555 $0.9540.07770.954
without adjustment20$\\ln r=0.966 \\ln C-2.637$0.9660.07230.966
50$\\ln r=0.955 \\ln C-3.499$0.9550.03020.955
100$ \\ln r=0.822 \\ln C-4.052 $0.8220.01740.824
200$ \\ln r=0.803\\ln C-4.227 $0.8030.01460.808
500$\\ln r=0.896 \\ln C-6.003$0.8860.00250.863
Initial pH10$\\ln r=0.954 \\ln C-2.555$0.9540.07770.954
adjusted to 320$\\ln r=0.996 \\ln C-2.300$0.9960.10000.996
50$\\ln r=0.973 \\ln C-3.227$0.9730.03970.973
100$\\ln r=0.993 \\ln C-3.338$0.9930.03550.994
200$\\ln r=0.996 \\ln C-3.982$0.9960.01860.993
500$ \\ln r=0.839\\ln C-4.800 $0.8390.00820.833
"} {"image_path": "images/4fbf4a4458dd64cdcb2f17e25da6719f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nomenclature$R(e^+)$momentum transfer roughness function
Aheat transfer surface area, $\\mathrm{m}^{2}$$r_s$ratio of resistance of smooth outer surfaceto that of inner surface
$C_P$specific heat, kJ/kg °C
dtube inside diameter, mStStanton number
$d_o$tube outside diameter, mTtemperature, °C
$E_{ho}$ratio of outer surface heat transfer coeffi-cient of enhanced tube to that of smoothtube$T_{sat}$saturated steam temperature, °C
Uoverall heat transfer coefficient, $W/m^{2}$ °C
eroughness height, mGreek symbols
$e^+$roughness Reynolds number$\\alpha$helix angle, deg
ffriction factor$\\mu$dynamic viscosity, kg/m s
Gmass velocity, $\\mathrm{kg} / \\mathrm{m}^{2} \\mathrm{~s}$$\\rho$fluid density, kg/$m^{3}$
$G\\left(e^{+}, P r\\right)$heat transfer roughness functionSubscripts
hheat transfer coefficient, W/$m^{2}$ °Caenhanced tube
$h_i$tube-side heat transfer coefficient, W/$m^{2}$ °Cbbulk condition
Ltube length, moaouter surface of the enhanced tube
mmass flow rate, kg/sosouter surface of the smooth tube
Pdissipating power, Wssmooth tube
PrPrandtl numberwwall condition
ppitch of corrugation, m
$\\Delta p$pressure drop, PaSuperscripts
$Q$heat duty, W'tube-side inlet
ReReynolds number\"tube-side outlet
"} {"image_path": "images/31117f2b253fb0868f7764dc1bfc7d54.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Pressure, mmRatio of activityinorganic/organic$\\rho P$
Hbr$\\text{C}_2\\text{H}_4$
113510.54
10550 0.48
73510.27
50510.42
40500.38
25500.59
21500.36
10490.50
951 0.30
Av. 0.4221
524919
533419
522515
512216
521817
51 9.317
528.715
525.117
513.413
"} {"image_path": "images/78e868059dc95f3098fa20de478d16c0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Type of exchangerFluid type (fluid components)OperationmodeLinearmassfluxrange(kg m$^{-1}~s^{-1})$
Lee et al.(2008)Horizontal smooth tube,falling filmAmmonia-waterAbsorption0.01630.0291
Owens (1978)Horizontal smooth tube,falling filmAmmonia-waterEvaporation0.00890.7413
HuandJacobi(1996)Horizontalsmoothtube,falling filmWater,ethylene glycol, glycol-water, oil,alcoholIsothermal0.00380.22
Hu and Jacobi,1996Horizontal smooth and sandblasted tube,falling filmWater, ethylene glycol, glycol-waterEvaporation0.00190.72
Lee et al. (2012)Horizontal smooth tube,falling filmAmmonia-waterAbsorption(0.002)0.0080.014
"} {"image_path": "images/2e1e2b0eb22d2d86931c00d35fa28d11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SiteDominant clay minerals [weight %]Other mineralsApproximate overburden depth (m)Porosity (%)
Frio, USA (Hovorka, 2009;Lynch, 1997)Illite-smectite ~45%Calcite14508-10
Illite ~10%
Kaolinite 13%
Chlorite ~3%
Sleipner, Norway (Bøe andZweigel, 2001; Chadwicket al., 2004; Pilliteri et al.,2003)Mica-Illite ~25%Calcite 1-3%Siderite 2%75035
Kaolinite 14-18%
Smectite 3-9%
Chlorite 1-4%
Krechba, Algeria (Armitageet al., 2010; Mathieson et al.,2010)Muscovite-illite ~25-50%Siderite ~15-0%18501.8-11.3
Chlorite ~20-4%
Kaolonite ~8-4%
Otway, Australia (Watson et al.,2005)Kaolinite 44-17%Siderite 35-2%19802.5-7.5
Illite 6-1%
Smectite 3-1%
SACROC, USA (Carey et al.,2007; Han et al., 2010)Illite-smectite 62%Calcite 2.5%20001.3
Dolomite 2%
Halite 0.1%
Rousse, France (Tonnet et al.,2011)Illite 2.2-14.5%Calcite 30-65%40000.5-3
Kaolinite 0.3-4.1%Dolomite 3-63%
Chlorite 0.1-2%Siderite 0.1-6.2%
Carnarvon, Australia(Dewhurst et al., 2002)Illite-smectite 30-25%110021
Illite 15-20%Siderite 1-4%
Kaolinite ~15%
Chlorite ~5%
Ketzin, Germany (Förster et al.,2007)Ilite 42-74%Dolomite 4-35%60010
Chlorite 1-3%Halite (small fraction)
"} {"image_path": "images/1e51e1f46a5b8e65140dfc69f3fa7748.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料厚度/mm淡水深度 5m海水深度 10m备 注
切割电流/A电弧电压/V喷嘴孔径/mm切割速度$/ \\mathrm{m} \\cdot \\mathrm{h}^{-1}$切割电流/A电弧电压/V喷嘴孔径/mm切割速度$/ \\mathrm{m} \\cdot \\mathrm{h}^{-1}$
Q235 低碳钢10450804.228.5----工作气体为$Ar\\%+\\mathrm{N}_{2} 50\\%$
15+155001104.06.7----
10----3701103.025.2工作气体为 Ar
15----4001203.018.8
20----4801204.09.0
10+105001104.09.254501104.515.5
255001005.08.0----
40----5001404.53.0
1Cr18Ni10Ti 不锈钢10450903.521.9----工作气体为 Ar
16----5001004.028.8
204601204.017.45401154.58.15
405801005.09.05801205.03.4
SiCrCuNi8380903.517.653401003.025.2工作气体为 Ar
10----3501203.014.3
船用碳钢5----3401203.038.75工作气体为 Ar
10360903.519.83601103.021.0
284801204.012.2----
304801204.09.25501004.54.55
20480805.017.8----工作气体为$Ar50\\%+N_250\\%$
28480905.014.0----
305001104.08.5----
405601104.57.85501504.03.8
铝合金20----4801254.010.0工作气体为 Ar
405201205.08.65701304.51.7
404801005.01.9----
"} {"image_path": "images/23850a0ac2b1787480d7bc587f3b9975.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$c_{2}$$c_{1}$$p_{2}/p_{1}$ for$p_{2}/p_{1}$ for
$\\alpha $=0.05$\\beta $=0.10$\\alpha $=0.05$\\beta $=0.05$\\alpha $=0.05$\\beta $=0.01$np_{1}$for$\\alpha $=0.05$\\alpha $=0.01$\\beta $=0.10$\\alpha $=0.01$\\beta $=0.05$\\alpha $=0.01$\\beta $=0.01$np_{1}$for$\\alpha $=0.01
108.212810.206515.10890.307818.207122.626933.49510.1389
215.30136.31548.66920.76959.571311.402215.65200.4262
204.38345.23367.38570.64377.42118.860612.50410.3802
324.17034.85556.39981.31786.75667.866810.36880.8134
313.58154.16655.57101.21045.57426.48488.67060.7777
303.13443.63114.89631.00464.64965.38637.26310.6773
652.91263.27514.05713.23634.06254.56815.65892.3203
532.85683.23384.09352.47214.04024.57355.78931.7480
762.71633.03323.71113.93183.68754.11785.03812.8962
642.65432.97873.70703.14863.64144.08655.08562.2951
402.54042.87783.73351.37543.48373.94635.11991.0029
632.43402.72113.39063.00893.26873.65424.55332.2406
512.37072.65713.36152.09153.17113.55424.49651.5636
972.28492.51983.03135.29632.95253.25603.91704.0988
622.25062.50303.11072.80562.95163.28274.07972.1392
502.19892.44923.07891.75042.86223.18804.00761.3447
962.14442.35782.83715.17742.73623.00863.62014.0576
612.10012.32212.86842.52392.69052.97503.67491.9700
842.08372.29202.77814.26582.65172.91673.53543.3521
952.02202.21472.65955.01292.54272.78513.34443.9863
831.96622.15252.59664.03582.45882.69163.24713.2274
711.91602.09552.53572.95082.37712.59993.14602.3783
821.86692.03362.43683.74272.29532.50012.99593.0443
701.82591.98672.38412.50512.22702.42312.90782.0540
811.78331.93302.29833.37252.15832.33952.78162.7866
921.74911.89012.23084.19742.10302.27252.68213.4912
911.68351.81132.12153.78991.99772.14932.51753.1938
901.62811.74472.02833.26131.90962.04632.37902.7805
1121.58711.69391.95005.08521.84631.97042.26834.3715
1111.54361.64171.87764.61351.77871.89182.16354.0037
1201.46111.54271.73774.39411.65281.74511.96563.8844
"} {"image_path": "images/1489f1c0d799b5263574a93e64602ae2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Main variablesGroupnMean (SD)t
AgeNon-wanderer34$75(6 \\cdot 9)$-2·04*
Wanderer43$78(8 \\cdot 5)$
Cognitive impairmentNon-wanderer34$ 15\\cdot 2(5\\cdot 8) $$2 \\cdot 20^*$
Wanderer43$12 \\cdot 2(6 \\cdot 1)$
FamiliarityNon-wanderer34 $3\\cdot 6(0\\cdot 35)$ $3 \\cdot 96^{* * *}$
Wanderer43$3 \\cdot 1(0 \\cdot 66)$
Physical dependency in ADLsNon-wanderer34$ 16\\cdot 9(9\\cdot 5) $$-2 \\cdot 48^*$
Wanderer41$22 \\cdot 6(10 \\cdot 5)$
Duration of living in currentplace(months)Non-wanderer 34$268 \\cdot 9(255 \\cdot 4)$$3 \\cdot 95^{* * *}$
Wanderer43$92 \\cdot 8(126 \\cdot 9)$
"} {"image_path": "images/5f079b4a67554e22da646b755535bc75.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Merce(1)Valore delle importazioniGettito del dazio Percentualedel dazioper lapercentualedell'importaz.$~\\cdot(6)$ Gradodiprotezione$(6){:}\\sum{(6)}$.100(7)
Lit.(2)%(3)Lit.(4)%(5)
A10 00012.51.0001012515,625
B50.00062.55.0001062578,125
C20.00025.02002506,250
80.000100.0800100,000
"} {"image_path": "images/cf3e3ce3bf77db7fc994d92e131e4edc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Company:Department:Approved by:Karen SmithDate:
#Goals Actionsto achieve GoalAccountablechampionMetricsCompletiondatesEvaluationresults
1 Reducecomputer-generatedreportssignificantlybyMay 30
A. Attach arequest card toevery report byMarch 16, askingthe recipientto the attachedrequest card byApril 16 if heor she wishesto continueto receive thenamed report.John Doe Noticessent out byMarch 16March 16
B. Eliminatefrom the systemany report thathas no RequestCards returnedby April 30th.Any reportwith norequest cardsis eliminatedby April 30April 30
C. Delete fromthe send to listany recipient whohas not returneda request card fora specific reportby May 12. Deletednonresponsiverecipientsfrom thesend to listby May 12May 12
D. Reduce thenumber ofreports printedaccordingly, andreport the resultsby May 30. Send out areport of the# of fewerreports beingsent out byMay 30May 30
"} {"image_path": "images/9a058aa75fc39b7cae3774ab381b5663.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Molel$T_{1}$$T_{2}$$T_{3}$$T_{4}$
ABIC-27888-38624-44495-47999
S.D.0.290.220.160.17
Hyperparameter v1.131.130.801.13
Tidal Constituents$S_{1}$Amp3.11531.12282.81281.3000
0.28300.27750.24060.1795
Phs6'76--65.5-94.5-60.9
5.29.14.97.9
$K_{1}$Amp0.16540.16520.16500.1651
0.00140.00110.00120.0009
Phs5.64.95.64.8
0.50.40.40.3
$\\psi_{1}$Amp0.85910.70440.78030.7143
0.18660.14860.15820.1170
Phs13.613.516.911.6
12.512.111.69.4
$S_{2}$Ainp0.55360.51780.54130.5184
0.00080.00080.00070.0007
Phs1.4-0.80.7-0.9
0.10.10.10.1
$K_{2}$Amp0.52400.51880.52310.5204
0.00250.00190.00200.0015
Phs-1.2-1.2-1.2-1.2
0.30.20.20.2
"} {"image_path": "images/39c98a0ce0be0e5827e5cd2ed32b764a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年限污水分区管径 d(mm)坡度 i(‰)流速 V(m/s)过流能力 Q(L/s)旱季污水量万(I/s)管道评估
站片区
兰陵涌泵站片区福龙路进水主干管90011.01479.29362.20
沙湾 1#泵站片区市良路南侧进水干管120011.221032.22430.86
市良路北侧进水干管100011.08634.78560.82
西丽南路进水干管100011.08634.78362.20
沙湾 2#泵站片区德信路东侧进水干管140012.651557.031385.41
德信路西侧进水干管150013.191871.54264.82
南堤路进水干管(泵站以西)120012.751032.22264.82
南堤路进水干管(泵站以东)100010.55634.78113.72
草河 6#泵站片区草河泵站进水干管80010.93350.10113.72
"} {"image_path": "images/82f3eb323baa379da81652cce530e90d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2.8FrequencyPercentValid PercentCumulativePercent
Valid#13.33.33.3
#620.020.023.3
#1240.040.063.3
# 723.323.386.7
#413.313.3100.0
Total30100.0100.0
"} {"image_path": "images/015b979822c2494d80f96f40c85b4f26.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
M = MnM = FeM = Co
$ \\mathrm{L}=\\mathrm{Et}_{2} \\mathrm{DTC}^{-} $$ \\mathrm{L}=\\mathrm{Et}_{2} \\mathrm{DTC}^{-} $$ \\mathrm{L}=\\mathrm{Pada} $$ \\mathrm{L}=\\mathrm{Et}_{2} \\mathrm{DTC}^{-} $
$ k_{f}^{298} / M^{-1} s^{-1} $(6.4 ± 0.2) × 10^7$(1.2~\\pm~0.3)~ \\times~ 10^{7}$$(4.3 ± 1.0) × 10^5$$(4.3\\pm1.0)\\times10^{6}$
$k_{r}{}^{298}/\\mathrm{s}^{-1}$ 651 土 2539.1 ± 11$(2.7 \\pm 0.3) \\times 10^{3}$102 ± 16
$ \\log\\left(K^{238} / M^{-1}\\right) $2.3 ± 0.8
$\\Delta \\mathrm{H}_{\\mathrm{f}}{ }^{*} / \\mathrm{kJ} \\mathrm{mol}^{-1}$47.5 ± 2.538.8 ± 1.352.1 ± 2.139.1 ± 2.2
$\\Delta \\mathrm{H}_{\\mathrm{r}}{ }^{*} / \\mathrm{kJ} \\mathrm{mol}^{-1}$30.1 ± 9.217.9 ± 6.248.9 ± 0.927.3 ± 26.8
$\\Delta S_{f}{ }^{*} / \\mathrm{JK}^{-1} \\mathrm{~mol}^{-1}$ +64 ± 11+20 ± 5+38 ± 8+26 ± 8
$\\Delta S_{\\text {r}} / \\mathrm{JK}^{-1} \\mathrm{~mol}^{-1}$-90 ± 42-154 ± 27-15 ± 4-115 ± 100
$\\Delta \\mathrm{V}_{\\mathrm{f}}^{*} / \\mathrm{cm}^{3} \\mathrm{~mol}^{-1}$$+9.5~\\pm~0.9^{b}$$+12.3 ~\\pm ~0.8^{c}$$+7.5\\pm10^{c}$$+12.1\\pm0.6^{c}$
$\\Delta V_{\\mathrm{f}}^{*} / \\mathrm{cm}^{3} \\mathrm{~mol}^{-1}$$+9.5\\pm1.3^{c}$
$\\Delta v^{0} / \\mathrm{cm}^{3} \\mathrm{~mol}^{-1}$$-2.0\\pm0.3^{c}$
"} {"image_path": "images/a747e8fd66877309f1006a99e40bc246.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Populationsn = (10,10,10,10)n = (20,30,15,25)
CPMVCPMV
(a)Score0.8340.8180.8720.136
Bayes10.8330.9730.8830.158
Bayes20.9372.1670.9380.250
Fiducial0.8581.2700.8980.182
(b)Score0.8490.7890.9120.116
Bayes10.8550.8530.9160.128
Bayes20.9051.6570.9340.191
Fiducial0.8971.1600.9280.149
(c)Score0.9540.4040.9590.050
Bayes10.9140.3120.9330.040
Bayes20.9640.5020.9400.046
Fiducial0.9650.4820.9630.052
(d)Score0.9980.7440.9690.056
Bayes10.9710.4790.9380.039
Bayes20.9330.3410.9300.029
Fiducial0.9960.8130.9550.052
"} {"image_path": "images/3be01f525ec7c218b66ceff7a164a504.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Solubilitytemp.$\\mathrm{(°C)}$$N_\\mathrm{value}$
15 min30 min60 min
Bulk $glass^{5)}$406011.8706.1204.570
5.1605.1504.210
Glass fiber40600.0910.0890.088
0.0890.0880.082
Annealingglass fiber40600.1410.1380.094
0.1040.1030.092
"} {"image_path": "images/e65a5617e4cec7d590c762a2ffa11c57.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TKB KV(0.001) KV (0.1)UNV/T
Relative to V/T
50R-MSE1.7851.2961.7730.971[17.920]
100R-MSE1.9461.4281.7531.334[8.976]
200R-MSE2.0401.8711.8451.779[4.487]
Relative to UN
50R-MSE1.8371.3341.826[17.408]
R-MAE1.1891.1081.156[2.800]
100R-MSE1.4591.0711.314[11.971]
R-MAE1.0921.0621.086[2.317]
200R-MSE1.1471.0521.037[7.981]
R-MAE1.0631.0381.046[2.022]
"} {"image_path": "images/6fa2d161e19d56cb35008ed0de64d55a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Related physicalproperPhysical ParameterSimilarity
GeometricLength1/3
Linear displacement1/3
Acreage1/9
Angular displacement1
Strain1
MaterialIntensity1
Modulus of Elasticity1
Stress1
Density1
Mass1/3
LoadAcceleration of gravity1
Concentrated load1/9
Line load1/3
Area load1
Moment1/27
Shear force1/9
ReinforcementLongitudinal reinforcement beamand column1/9
"} {"image_path": "images/bae6852aafb6a84ed7dc4cf255f61f98.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Material thickness (mm)0.550.81.0
Assist gas (oxygen) pressure (kPa)200500800
Laser power (W)400500600700
Cutting speed (mm $min^{-1}$)20002500250030003000350035004000
30003500350040004000450045005000
"} {"image_path": "images/50f92ede5ba087c8b8d07a998782bd0c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品牌号011050011045011040011030011025011020
REO≥99. 099. 099. 098. 097. 095. 0
$\\mathrm{La}_2 \\mathrm{O}_3$ /REO ≤99. 99999. 99599. 9999. 999. 599. 0
杂质含量≤稀土杂质/REO$\\mathrm{CeO}_2$0. 00200. 00500. 0015含量 0. 1含量 0. 5含量 1. 0
$\\mathrm{Pr}_6 \\mathrm{O}_{11}$0. 00200. 00500. 0015
$\\mathrm{Nd}_2 \\mathrm{O}_3$0. 00200. 00500. 0010
$\\mathrm{Sm}_2 \\mathrm{O}_3$0. 00200. 00500. 0010
$\\mathrm{Y}_2 \\mathrm{O}_3$0. 00030. 00100. 0010
非稀土杂质$\\mathrm{Fe}_2 \\mathrm{O}_3$0. 00200. 00030. 00500. 0010. 0050. 010
$\\mathrm{Si}_2 \\mathrm{O}_2$0. 00300. 00500. 00500. 0100. 0500. 050
CaO0. 00100. 00500. 00500. 0100. 0500. 10
CuO0. 00200. 00200. 0050
NiO0. 00200. 00200. 0050
PbO0. 00100. 00200. 0050
$\\mathrm{Cl}^{-}$0. 020. 030.030. 030. 050. 05
灼减(质量分数)/%≤1. 01. 01. 02. 03. 05. 0
"} {"image_path": "images/5164a22cc04317e1821ac1aa68dfeafa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RegressorsOLSHeckman’stwo stepOLSHeckman’stwo stepOLSHeckman'stwo step
Constant0.0240.0340.0290.0180.0230.014
2.32*3.14**2.80**2.31*2.67**1.99*
NASRATIO-0.024-0.030-0.020-0.029-0.041-0.031
-3.11**-3.84***-2.58**-2.23**-5.92***-4.99***
$\\frac{A b s D E V}{T A}$0.0730.059
3.94*** 3.01**
$\\frac{\\text { AbsDEV }}{\\text { Mktcap }}$0.0160.012
2.95**3.01**
$\\overline{A F E}$0.0070.008
3.01**2.74**
NUMEST-0.002-0.002-0.002-0.002-0.002-0.005
-12.45***-11.12***-11.57***-11.87***-14.56***-11.84***
STDROA0.0390.0490.0530.0410.0590.045
2.64**2.65**3.78**3.99**4.94***4.95***
beta-0.003-0.001-0.003-0.004-0.000-0.001
-1.51-1.18-1.52-1.15-1.33-0.74
UNSYST0.7540.9040.8280.8890.9080.874
5.37***5.12***5.45***6.10***7.06***6.85***
LEVERAGE0.0450.0340.0340.0390.0490.027
4.73***1.86$3.23**2.96**6.31***4.02***
LOSS0.0160.0240.0140.0180.0150.012
3.31**4.01***2.78**2.74**3.15**3.05**
$\\overline{\\mathrm{COC}}$0.7240.7700.7010.5940.7460.593
12.91***12.45***12.46***14.12***16.26***12.89***
Lambda0.1450.0120.018
1.67$0.451.34
$R^2$.30.32.31.33.30.28
"} {"image_path": "images/30d5f521ae935efb7b27330416cb0eee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
WEEKLY EARNINGS SHEET: WEEK OF MAY 12 - MAY 19
NameHourlyPayRegularHoursWorkedRegularPayOvertimeRateHourlyOvertimePayHours ofOvertimeOvertimePayGrossWeeklyEarnings
(a)Jill$3.1040$1\\frac{1}{2}$8
(b)Kevin$3.8540$1\\frac{1}{2}$7
(c)Ethel$4.1540$1\\frac{1}{2}$5
(d)Mary$4.2535$1\\frac{1}{2}$0
(e)Janet$4.8540$1\\frac{1}{2}$3
(f)Margo$5.1535$1\\frac{1}{2}$0
(g)Will$5.3540$1\\frac{1}{2}$2
(h)Tom$6.2540$1\\frac{1}{2}$9
"} {"image_path": "images/e8bcdc45bea48d007b7c8485c2e91487.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
故 障 种 类产 生 原 因消 除 方 法
后落棉杂质少(1) 小漏底入口隔距过大或出口隔距过小(1) 适当校正隔距
(2) 除尘刀角度 (刀背与水平面夹角)过大(2) 适当調整角度
(3)刺辊偏心(3) 檢修刺辊
(4) 刺辊锯齿过纯或高低不一(4) 錫齿进行平磨
(5) 刺辊速度过慢(5) 調整速度
(6) 小漏底弧度过长(6) 适当縮短小漏底
后落棉白花多(1) 小漏底入口隔距过小或出口隔距过大(1) 适当校正隔距
(2) 銹齿过鈍或倒齿(2) 锯齿进行检修、磨碾、刷光或换新
(3) 除尘刀位置过低(3) 适当抬高除尘刀
(4) 小漏底圆弧度不正和网眼堵塞(4) 对小漏底圆弧度进行檢修与擦光并加强淸扫工作
(5) 小漏底尘棒变形、不光滑(5) 檢修尘棒
(6) 大小漏底接口不平齐、有缝隙(6) 檢修或校正漏底接口处
(7) 锯齿上沾油花(7) 清除油花
盖板花过厚或过薄(1) 前上罩板上口至錫林間隔距過大則厚,過小則薄(1) 校正隔距
(2) 鏈条伸长过多(2) 檢修或調換鏈条
(3) 盖板針長、 銳利而錫林針短,則厚;反之則薄(3) 適當調整或磨礪
盖板花左右厚薄不均或部分断裂(1) 前上罩板上口弯曲不平(1) 校直
(2) 前上罩板高低左右不一(2) 校装高低一致
(3) 星形导盘至曲軌間距离左右不一(3) 校正
"} {"image_path": "images/a2525eeb30122019646ea824fbb547ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaandagDinsdagWoensdagDonderdagVrijdagZaterdagZondag
181Dag van de arbeid23
194Dodenherdenking5Bevrijdingsdag678910Moederda
2011121314Hemelvaartsdag151617
21181920212223241e Pinksterdag
22252e Pinksterdag262728293031
"} {"image_path": "images/6f91748c5770e8c6829063298bb6b88a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
L/hTheory$\\tau^2=0$$\\tau^2=1$$\\tau^2=2$$\\tau^2=3$$\\tau^2=4$$\\tau^2=5$
100E246.740132.507101.28385.122374.839867.5633
R246.234132.331101.16285.024574.756067.4887
S247.804133.078101.71985.489375.162567.8546
T247.634132.987101.65085.430775.111067.8081
H255.799137.372105.00288.247777.587770.0440
H2247.633122.46492.430877.285367.761261.0664
H3247.647122.70092.633177.462667.920461.2120
10E246.740132.507101.28385.122374.839867.5633
R207.702117.81790.945276.749467.631361.1430
S651.886350.082267.589224.893197.727178.502
T366.061196.585150.262126.286111.032100.236
H363.506195.213149.213125.405110.25799.5364
H2366.531216.196167.659141.737125.013113.083
H3364.128209.822168.444143.383124.088112.621
"} {"image_path": "images/75448fb1630bb66a4558e23c9150682e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T = 0.01, μ = -1.08 T = 0.01, μ = 0.92 T = 1, μ = -1.08
x-stepsPutCallPutCallPutCallCPU Time
320.53300.55770.43240.45707.488210.39240.01
640.55120.57590.56120.58587.671110.56830.02
1280.55520.57980.59290.61757.710110.60570.06
2560.55610.58070.59950.62417.719310.61450.21
5120.55630.58090.60110.62577.721610.61670.90
10240.55640.58100.60150.62617.722210.61726.88
Closed-form0.55640.58100.60160.62627.722410.61740.00
Conv. Order2.052.052.072.072.052.06NA
T = 1, μ = 0.92 T = 10, μ = -1.08 T = 10, μ = 0.92
x-stepsPutCallPutCallPutCallCPU Time
3210.166612.943017.898439.923028.859441.42920.01
6412.025414.892717.978039.400127.311846.33510.02
12812.426315.314617.997239.268827.458548.12860.06
25612.505115.398518.001839.236227.525548.60930.21
51212.523915.418518.003039.228027.542048.72930.90
102412.528415.423418.003339.226027.546148.75936.88
Closed-form12.529915.425018.003439.225327.547448.76930.00
Conv. Order2.122.122.012.001.981.90NA
"} {"image_path": "images/41c3c01288b6f7d8cc582c151ebcea32.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sampleno.SpeciesPartLosson$drying^a $(%)$Content^b$ (mg/g from drymaterial)
Neosalacinol(3)Neokotalanol(4)
SCS-1S. chinensisStem4.00.022 ± 0.0030.257 ± 0.006
SCR-1Root8.70.010 ± 0.0010.035 ± 0.008
SCL-1Leaf8.2$-^c$0.018 ± 0.004
SCF-1Fruit11.7$-^c$$-^c$
SRR-1S. reticulataRoot10.40.022 ± 0.0020.082 ± 0.003
SOR-1S. oblongaRoot9.70.024 ± 0.0050.103 ± 0.003
"} {"image_path": "images/e2e2104554fd752954b44687ac4cfe22.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelEffect ofConditions Mean inflow rate(IVC + SVC) (L/min)IVC:SVC flowratio (%)LPA:RPA flowratio (%)IVC pulsatility(%)
#1RespirationBHPatient-specific3.275.145.933.4
FBPatient-specific4.0476.356.484.8
ExerciseFBPatient-specific4.0476.356.484.8
EX${Half-peak pulsatile^{a}$5.9577.846.193.4
Peak patient-specific7.9079.343.1101.1
#2RespirationBHPatient-specific3.1076.823.031.9
FBPatient-specific4.9643.825.3115.2
ExerciseFBPatient-specific4.9643.825.3115.2
EX$Half-peak pulsatile^{a}$6.2047.425.1118.4
Peak patient-specific7.0848.225.3126.4
"} {"image_path": "images/647241c11c07b18fa305e2ed133f9072.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
mean/msareamean/msareamean/msarea
distribution of e-open times
$\\text{C-S}\\begin{cases}\\text{unadjusted}\\\\\\text{C-S1}\\\\\\text{C-S2}\\end{cases}$0.96870.91830.02830.0011 0.06470.0175
0.96870.99900.0283 1.20E-60.06479.99E-4
0.96870.98130.02830.00110.06470.0175
$\\mathbf{B-M}\\:\\begin{cases}\\text{standard}\\\\\\text{uncoupled}\\end{cases}$0.43741
0.96661
listribution of e-closed times
$\\text{C-S}\\begin{cases}\\text{unadjusted}\\\\\\text{C-S1}\\\\\\text{C-S2}\\end{cases}$0.58790.93390.02790.05320.06920.0129
0.5879 0.9989 0.02796.19E-50.06920.0011
0.5879 0.96980.02790.00350.06920.0267
$B-M\\begin{cases}\\text{unadjusted}\\\\\\text{adjusted}\\end{cases}$0.85610.97890.03270.0211
0.85610.99990.03270.0001
"} {"image_path": "images/02c77b1491546628c19eb830137c8a38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
L$E, \\mathrm{~cm}^{-1}$C$\\mu_{\\mathrm{E}}, $$\\mu_{\\mathrm{B}}$$T(x_{\\max }{ }^{-1}),$K
Co(salen)L
py13250.301.90270
5,6-diMebenzimd12850.151.75200
2-MeImd8950.291.95186
1,2-diMeImd8500.401.68120
Co(saloph)L
$Imd^{b}$9500.392.01~230
N-MeImd8750.2751.85140
5,6-diMebenzimd8450.131.9690
"} {"image_path": "images/97233328ad3e5fe52d55e40e5518cecd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Children dataNumber%
Age (in months)
≤12357.0
12-5916532.9
60-11818236.3
119-16811923.8
Mean $\\pm \\mathrm{SD}=75.0 \\pm 45.5$ months, Range $=3-168$ months
Sex
Male26051.9
Female24148.1
Weight (in kg)
≤109418.8
10-2022745.3
21-3013326.5
31-40387.6
>4091.8
Mean $\\pm S D=19.1 \\pm 8.8 \\mathrm{~kg}$, Range $=2-53 \\mathrm{~kg}$
Temperature $\\left({ }^{\\circ} \\mathrm{C}\\right)$
Mean $\\pm \\mathrm{SD}=36.5 \\pm 0.7^{\\circ} \\mathrm{C}$, Range $=34.5-40.0^{\\circ} \\mathrm{C}$
Used mosquito net
Yes5611.2
No44588.8
"} {"image_path": "images/edbda75e8baf27f9692126ae97a12a2f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nomenclature
$A_{c}$total debris casualty area
$A_{frag}$surviving fragment cross-section
$\\mathrm{A}_{h}$ projected human cross-section $\\left(A_{h}=0.36 m^{2}\\right)$
$A_{ref}$reference area
$A_{S}$ surface area
Bballistic coefficient $\\left(k_{g} / m^{2}\\right)$
$C_{lam}$laminar hypersonic heating constant $(C_{lam}=1.23\\times10^{-4}$$kg^{0.5}/m)$
$c_{p}$specific heat capacity
$E_{c}$casualty expectancy
haltitude
$H_{0}$density scale height (m)
$h_{m}$latent heat of melting
$k_{av}$shape dependent scaling factor $\\left(k_{av}=\\frac{1}{A_{ref}}\\int_{S}\\frac{\\dot{q}_{local}}{\\dot{q}_{stag}}dS\\right)$
KnKnudsen number
Lcharacteristic length
mmass
$\\dot{m}$mass rate of change
Qtotal heat absorbed
$\\dot{Q}$heat flux
$\\dot{q}$heat flux per unit area
$R_{N}$nose radius
$Re_2$Reynolds number behind the shock
StStanton number
Ttemperature
$T_{m}$melting temperature
$\\dot{T}$rate of change in temperature
uratio between release and circular orbit velocity
vvelocity
$v_{E}$entry velocity
$\\nu_{\\infty}$free-stream velocity
$\\epsilon$emissivity
$\\theta$ flight path angle
$\\rho$atmospheric density
$\\rho_{0}$atmospheric density at sea-level
$\\rho_{P}$ population density
$\\rho_{\\infty}$free-stream density
$\\sigma$Stefan-Boltzmann constant
"} {"image_path": "images/2b32f5574d80f5e9be721a3304db62a1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Indirectcouplingsin hertzAnisotropic couplings in hertz
$\\begin{array}{c}\\text{Nuclear} \\\\ \\text{pair}\\end{array}$$\\begin{array}{c}\\text{Expts. 1, 2,} \\\\\\text{3 and 4}\\end{array}$$\\begin{array}{c}\\text{Expt. 1}\\\\ (37\\ \\text{mole}\\%\\\\\\ \\text{in II/III})\\end{array}$$\\begin{array}{c}\\text{Expt. 2}\\\\ (27\\ \\text{mole}\\%\\\\\\ \\text{in II/III})\\end{array}$$\\begin{array}{c}\\text{Expt. 3}\\\\ (17\\ \\text{mole}\\%\\\\\\ \\text{in II/III})\\end{array}$$\\begin{array}{c}\\text{Expt. 4}\\\\ (17\\ \\text{mole}\\%\\\\\\\\text{in IV})\\end{array}$
1,2$ -21.2 \\pm 0.5 $$ -184.8 \\pm 0.2 $$ \\begin{array}{r}-132.8 \\pm 0.3\\end{array} $$ -27.8\\pm 0.3 $42.1±0.3
1,3$8.0^{a}$$-114.4 \\pm 0.2$$ -155.3 \\pm 0.2 $$ -154.6 \\pm 0.4 $-117.5±0.3
1,4$13.2 \\pm 0.5$$ -133.1\\pm 0.3 $$ -207.3 \\pm 0.3 $$ -227.3\\pm 0.3 $-188.2±0.3
1,5$-1.8^{a}$$-243.4 \\pm 0.2$$ -390.0\\pm 0.2 $$ -435.2 \\pm 0.3 $$-364.4 \\pm 0.5$
1,6$10.0^{a}$$-1269.1 \\pm 0.4$$-1999.6 \\pm 0.3$$-2245.8 \\pm 0.4$$-1855.4 \\pm 5.0$
3,6$0.0^{a}$$-34.0 \\pm 0.5$$-25.4 \\pm 0.7$$ -6.9 \\pm 0.5 $$5.1 \\pm 0.5$
rms0.7 hertz on0.9 hertz on0.7 hertz on0.5 hertz on
error38 lines38 lines24 lines18 lines
T in°C4242424280
"} {"image_path": "images/29ce71f3a747d31424d6139245a582d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$D_{ATA}$$R_{ESULTS}$
No. of$S_{PHERE}$$F_{ROM}~F_{IG.I2}$$F_{IG}._{II}F$$F_{ROM}~F_{IG.I2}$$F_{IG}._{II}E$
Max.FyMax.Fx$\\frac{\\substack{\\text{Max} \\\\ F_y}}{\\substack{\\text{Max} \\\\ F_x}}$EE' inTermsof DEE'E'M$\\frac{EE'}{E'M}$EE' inTermsof D$D_{EPTH}$$_{IN}$ KmMass in terms ofUnit SphereWhose R=50 kmd=o.I.
I.........5.I2.32.20I.7$D_1$4235I.20I.7$D_1$25+0.20M
2.........10.84.42.463.0$D_2$12595I.3I2.5$D_2$40 to 50+2.5 to $2.9 M$
3.........2.02.50.800.3$D_3$I3330.400.3$D_3$43+0.17M
4.........6.22.92.131.5$D_4$4740I.I71.5$D_4$3I-0.32M
5.........8.43.52.402.5$D_5$8867I.3I2.5$D_5$35+1.10M
6.........3.31.42.352.2$D_6$3427I.272.2$D_6$16+0.07M
"} {"image_path": "images/a6a749bfc00c85b3bfd7e37712ea084f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
From ...To$X_{\\lambda} $$\\mathbf{X}_{+}$X_
$\\frac{\\mu^{2}-\\lambda^{2}}{m(\\xi+\\frac{1}{2})}\\:U_{1}$$(m\\lambda-\\mu_{*}^{2}-\\mu D)\\:P_{n}^{m}$$-\\frac{\\lambda+\\mu}{2}U_{+}$$-\\frac{\\lambda-\\mu}{2}\\:U_{-}$
$\\frac{\\mu^{2}-\\lambda^{2}}{m(\\xi+\\frac{1}{2})}\\:V_{1}$$\\left(m\\mu-\\frac{\\mu\\mu_{*}^{2}}{\\lambda}-\\lambda D\\right)P_{n}^{m}$$-\\frac{\\lambda+\\mu}{2}U_{+}$$+\\frac{\\lambda-\\mu}{2}U_{-}$
$\\frac{4(\\mu^{2}-\\lambda^{2})^{2}}{\\mu_{*}m\\xi(\\xi+1)}W_{1}$$\\left[4\\lambda^{2}D+4\\mu(1-\\lambda^{2}-m\\lambda)\\right]P_{n}^{m}$$-(\\lambda+\\mu)^{2}\\left[\\left(2-\\frac{\\mu}{\\lambda}\\right)D\\right.$$+\\frac{1+\\mu^{2}}{\\lambda}-m-2\\mu\\bigg]P_{n}^{m}$$-\\left(\\lambda+\\mu\\right)^{2}\\left(\\mu-\\lambda\\right)iTU_{+}$$-(\\lambda-\\mu)^{2}\\left[\\left(2-\\frac{\\mu}{\\lambda}\\right)D\\right.$$-\\frac{1+\\mu^{2}}{\\lambda}+m-2\\mu\\bigg]P_{n}^{m}$$-(\\lambda-\\mu)^{2}\\:(\\lambda+\\mu)\\:iTU_{-}$
"} {"image_path": "images/9d34590f8aaf21053c003044620b3a5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
t (°C)$\\eta$ (cp)$D_X$$D_Y$$D_Q$
300.7141.080.561.03
400.6071.310.681.26
500.5281.550.811.49
600.4591.840.961.77
700.4052.151.122.07
$\\Lambda_{k_3} = 2.96 × 10^{-5}~cm^2~s^{-1}$$\\Lambda_{k_{7b}} = 2.22 × 10^{-5}~cm^2~s^{-1}$
$p_{XY}R_{eff}=5.33~\\mathbf{\\mathring{A}}$$p_{XQ}R_{eff}=0.30~\\mathbf{\\mathring{A}}$
"} {"image_path": "images/1e601919852f00199deda5c8e805cef1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StatePopulation(millions)Families(millions)Power consumptionfor winter season(45 days) by electricheater (GW)Power consumption and saving byGSHP for COP=3 (GW)Power consumption andsaving by GSHP for COP=4(GW)Power consumption andsaving by GSHP for COP=5 (GW)
10%30%50%10%30%50%10%30%50%10%30%50%
CSCSCSCSCSCSCSCSCS
SK0.60.122.78.213.60.91.82.75.44.59.10.682.02.06.13.410.20.52.11.66.52.710.9
AR1.30.276.218.631.12.04.16.212.410.320.71.54.64.613.97.723.31.44.93.714.96.224.8
HP6.81.3730.892.5154.210.220.530.861.751.4102.87.7123.123.169.438.5115.76.724.618.574.030.8123.4
UK10.12.0245.52136.5227.615.130.345.591.075.8151.711.334.134.1102.456.9170.79.136.427.3109.245.5182.0
JK12.52.5056.4169.4282.318.837.656.4112.994.1188.214.142.342.3127.070.5211.711.245.133.8135.556.4225.8
"} {"image_path": "images/b5d385a547cab6e309d0dae023c13cd0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号字段名字段类型字段宽度 小数位数
1工号C5
2姓名 C10
3性别 $\\mathrm{C}$2
4出生日期D8
5工龄N3
5职称C10
6基本工资N5
7婚否L1
8简历M10
"} {"image_path": "images/89c08409e2124bea6797f3082d706e6e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
章目年份比重单选题多选题判断题计算题综合题
总题量总分值题量分值题量分值题量分值题量分值题量分值
注1八19994.582212111/23
20001/321/32
20014.2581112221/43
200245221211
1999342212
200039121116
200148221115
200248221115
199968222422
2000510222216
20014911121115
200256331211
十一19993.51122121/27
200038111116
20014.25933151/41
200238111215
"} {"image_path": "images/0a9bcbe48bda192f2d323a2c57800660.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesMSDCorrelations
12345678910
Key study variables
1. Traditional gender ideology (H-W1)3.16.86-
2. Traditional gender ideology (W-W1)2.87.82.16*-
3. Work-to-family conflict (H-W2)3.351.57.17*.05-
4. Family-to-work conflict (H-W2)2.571.24.14*-.03.43***-
5. Work-to-family conflict (W-W2)2.711.53.08.05-.09.13-
6. Family-to-work conflict (W-W2)2.151.12.21**.09.04.22**.35***-
7. Marital quality (H-W1)6.73.95-.13*-.02-.19***-.22**-.07-.34***-
8. Marital quality (W-W1)6.661.05.04-.04-.01-.17*-.17*-.31***.43***-
9. Marital quality (H-W3)6.411.10-.12-.01-.31***-.36***-.12-24**.52***.28***-
10. Marital quality (W-W3)6.291.33-.05.04-.14-.19*-.05-.16*.36***.31***.57***-
Covariates
11. Marital duration13.419.48-.05-.06.01.11.01.14*-.10-.11-.26***-.32***
12. Cohabitating before marriage ${ }^{\\mathrm{a}}$.68--.06.08-.01.02.01.00.01.04-.08-.04
13. Age (H)29.59 3.32.11.06.07.07.07.15*-.08-.08.18**-.13
14. Age (W)28.05 2.57.11.01.11.05.02.13-.09-.10-.28***-.23**
15. Education (H)5.16.84.12.19*.06.02.04.10-.02.05.06.08
16. Education (W)5.20.83.10.11.03-.02.10.08-.04-.08.07.09
17. Income (H)8.616.32.15.00.18*.11.08.12-.05.04-.09-.02
18. Income (W)5.943.92-.06-.03.10.05.001-.08.09.08-.04-.11
19. Parental status ${ }^{\\mathrm{b}}$.39-.04.03.05.00-.14*-.05-.10-.11.00-.18*
20. Item related to WFC (H-W1)1.60.67.18**.03.45***.23**.003.11-.18**-.01-.29***-.17*
21. Item related to FWC (H-W1)1.761.00.23***.12.03.07.10.03-.07-.03-.09.02
22. Item related to WFC (W-W1)1.45.66.09-.01-.11.01.37***.28***-.16*-.20**-.25**-.11
23. Item related to FWC (W-W1)1.801.04.10.13*.09.06.03.29***-.07-.16*-.15*-.07
"} {"image_path": "images/d16278441da7cfbbfdbc9a91ce0bb68a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SpecimenNo.TestNo.Failureload (kN)Slip(mm)Ave. failureload (kN) Ave. bondstrength (MPa) Ave.slip (mm)Failuremode
11103.71.5108.419.21.5$P^{a}$
2114.21.6$CS^{b}$
3107.41.3P
21111.01.7116.220.61.5CS
2115.11.6P
3122.61.2CS
31111.21.0116.720.71.4CS
2113.11.3P
3125.81.9CS
41104.41.2109.119.31.2P
2110.81.0P
3112.11.3P
51--124.119.91.4-
2---
3124.11.4CS
61108.61.2106.718.91.6P
2111.52.0P
3100.11.7P
71100.31.399.917.71.1P
2100.41.0P
399.10.9P
81116.80.7111.019.71.4P
2111.21.4P
3104.92.0P
91101.71.5101.117.91.7P
2100.41.8P
3--P
101123.91.9125.522.11.8P
2129.71.5P
3122.82.1CS
"} {"image_path": "images/af889c1f25bd176769a84d98de82f1d7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\frac{T}{K}$$\\frac{c_{p}}{k_{J}\\cdot k_{g}^{-1}\\cdot k^{-1}}$$\\frac{U\\left(c_p\\right)}{\\%}$$\\frac{T}{K}$$\\frac{c_{p}}{k_{J}\\cdot k_{g}^{-1}\\cdot k^{-1}}$$\\frac{U\\left(c_p\\right)}{\\%}$
300.0042.3770.61320.0062.5330.70
310.0222.4370.58325.0032.6060.64
315.0062.4950.61329.9992.6560.58
"} {"image_path": "images/8436de82cb39654ad25c701855400985.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model IModel 2
b$SE^a$b$SE^a$
Race-ethnicity
NH whiteRefRef
NH black$-.313^{* *}$.100$-.404^{* * *}$.110
Hispanic-.084.117-.084.125
Acute discrimination
LowRefRef
Moderate$-.132^*$.063$-.153^{+}$.091
High$-.251^{* *}$.075$-.437^{***}$.121
Race × acute discrimination
NH black × moderate.118.140
NH black × high$.357^*$.166
Hispanic × moderate-.085.176
Hispanic × high.138.212
Self-rated health at age 40$.997^{* * *}$.051$.997^{***}$.051
Marital status
Currently marriedRefRef
Never married$-.246^{+}$.146$-.246^{+}$.146
Previously married$-.22 \\mathrm{l}^{*}$.092$-.218^{*}$.092
Region of residence
NorthRefRef
Midwest-.168.125-.173.125
South-.058.117-.055.117
West.022.149.026.149
Employment status
EmployedRefRef
Unemployed-.285.253-.282.254
Out of labor force$-.245^{*}$.104$-246^*$.104
Years of education$.100^{***}$.020$.099^{***}$.020
N children5,6045,604
N mothers2,7712,771
"} {"image_path": "images/3163911cef6e95528691fa7665ca07f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GasS, K· at w, ml/s
01.83.65.07.5
Gas introductionfrom above
$CO_2$793.2771.4739.2691.2652.6
air784.2770.6745.2708.1676.3
He641.2640.1629.6609.4596.1
Mean error0.320.460.540.731.05
Gas introductionfrom below
$CO_2$791.9797.4815.3821.4829.4
air785.6787.0808.9817.8823.3
He641.0648.7677.5686.7706.5
Mean error0.370.620.811.331.87
"} {"image_path": "images/08e9e61d444290d5b07b5f9df4c7c708.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Proportion of CommunityWith Family in theUnited States(1)(2)(3)(4)
Wife's Proportion of Assets>1/30.767
[0.98]
<1/30.418*
[2.14]
Wife's Proportion ofNonlabor Income>1/30.687
[1.25]
<1/30.388*
[1.99]
Wife's Proportion of MajorHousehold Decisions>1/30.504
[1.34]
<1/3$0.301^{\\dagger}$
[1.72]
Number of Domains in WhichHusband's Values > Wife's>1/3 $1.212^{\\dagger}$
[1.95]
<1/31.236
[1.02]
More Than One-Third ofCommunity Has Familyin the United States2.291*3.365**2.977**3.704**
[2.02][5.68][2.76][4.01]
Chi-Squared (28)220.60212.94193.17203.86
McFadden's $R^{2}$.113.111.111.111
"} {"image_path": "images/2c91bf468e0923b7c9688d446577c92e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
moleculerms,$\\mathring{\\text{A}}$$R_{MAX}$,$\\mathring{\\text{A}}$rms,$\\mathring{\\text{A}}^{28}$$R_{MAX}$,$\\mathring{\\text{A}}^{28}$
Rhinovirus HRV14inhibitors (thetemplate is 1ruc)1hri0.140.150.380.73
1hrv0.290.410.931.17
1r090.290.484.714.77
1ruc0.000.000.000.00
1rue0.020.040.370.57
1rug0.000.000.020.03
1vrh0.350.640.741.50
2r040.180.220.040.06
2r060.000.000.490.68
2r070.080.151.462.30
2rs50.140.150.650.75
1r080.310.420.971.48
2hwb0.180.260.801.65
2hwc0.140.240.621.04
1rud0.290.350.791.47
1ruh0.300.381.041.88
1rui0.290.350.791.47
2rm20.320.421.011.45
2rr10.280.320.801.41
2rs10.290.360.801.46
2rs30.360.400.861.34
thermolysin inhibitors(the template is 5tmn)1thl0.871.930.831.43
1tmn0.450.920.771.50
1tlp0.801.710.540.75
5tln1.262.257.3311.14
4tmn0.180.311.853.65
3tmn0.941.660.791.19
5tmn0.000.000.000.00
6tmn0.010.020.120.16
CDK2 inhibitors (thetemplate is 1bkx)1agw0.801.243.344.74
1aq10.661.231.131.96
1atp0.701.369.2516.51
1bkx0.000.004.858.67
1ckp0.260.565.819.93
2csn0.741.090.000.00
1fgi0.811.643.686.20
2hck0.811.634.938.60
lian0.240.439.7218.70
1stc0.721.460.000.00
1ydr0.971.810.430.72
1yds0.681.110.000.00
1ydt1.142.171.042.18
the elastase inhibitors(the template is 1eau)1b0e0.821.305.149.04
1bma0.861.860.310.41
1ela0.440.870.721.32
1elb0.610.974.667.81
1elc1.101.925.519.41
1eld0.450.860.520.97
1ele0.000.000.000.00
1inc0.771.366.7510.01
7est0.500.900.280.47
leas0.410.860.330.43
1eat0.430.960.000.00
1eau0.801.300.811.64
4est0.580.880.000.00
"} {"image_path": "images/b9836bca07df4a22c211bc23a49d6ed4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指示器示值/MPa载荷/kN示值重复性/%校验系数
123平均
528.3028.7028.5028.501.41.03
1058.5058.0058.5058.330.91.01
1589.0088.4088.7088.700.71.00
20115.20115.30116.3115.601.01.02
25143.40144.40143.4143.730.71.02
30172.30173.50173.4173.070.7 1.02
校验系数平均值 1.02
b=5.748.2 a=0.7287 相关系数 r=0.999 843 604 459 3
千斤顶校验回归方程 F=5.7482P+0.7287
"} {"image_path": "images/8239bc15b9d632700494ef943055704f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NomenclatureSEStandard (Uncoated) Engine
BTEBrake Thermal Efficiency
FEFennel seedCOCarbon Monoxide
LHRLow Heat RejectionHCHydrocarbon
SEMScanning Electron MicroscopeNANaturally Aspirated
FE-30Fennel Seed Oil%30 + Diesel Fuel%70NOxNitrogen Oxides
FE-50Fennel Seed Oil%50 + Diesel Fuel%50PpmPart Per Million
HFE-30Heated fennel Seed Oil%30 + Diesel Fuel%70RpmRevolution Per Minute
HFE-50Heated fennel Seed Oil%50 + Diesel Fuel%50COCarbon Monoxide
ASTMAmerican Society for Testing and MaterialsTBCThermal Barrier Coating
EGTExhaust Gas TemperatureHDFHeated Diesel Fuel
CECoated EngineμmMicron Meter
"} {"image_path": "images/0c578a1ee823b773c4b96a3d5ebf9e02.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
closedmidopen
Ardisia quinquegona
January$13.6 \\pm 0.5^{\\mathrm{a}}$$11.4 \\pm 0.1^{\\mathrm{b}}$$13.6 \\pm 0.7^{a}$
July$17.6 \\pm 0.1^{\\text {a }}$$14.5 \\pm 0.5^{\\mathrm{b}}$--
Castanopsis chinensis
January$11.7 \\pm 0.2^{\\text {a }}$$12.9 \\pm 0.3^{\\mathrm{b}}$$10.7 \\pm 0.7^{\\mathrm{ab}}$
July$12.6 \\pm 0.2^{\\mathrm{a}}$$14.4 \\pm 0.2^{\\text {b }}$$15.4 \\pm 0.3^{\\circ}$
Dicranopteris linearis
JanuaryNP$10.0 \\pm 0.7^{\\text {a }}$$10.4 \\pm 0.2^{\\text {a }}$
JulyNP$13.2 \\pm 1.1^{\\mathrm{a}}$$9.8 \\pm 0.4^{\\mathrm{b}}$
Eucalyptus robusta
JanuaryNP$11.5 \\pm 3.8^{\\text {a}}$$ 9.1 \\pm 1.5^{\\mathrm{a}} $
JulyNP--$13.0 \\pm 0.3$
Evodia lepta
JanuaryNP $16.3\\pm 0.5^{a}$ $21.5 \\pm 0.8^{\\mathrm{b}}$
JulyNP$23.0 \\pm 1.7^{2}$$23.4 \\pm 0.6^{a}$
Pinus massoniana
JanuaryNP$11.3\\ (1)^{\\text{a}}$$10.1 \\pm 1.0^{\\text {a }}$
JulyNP--$10.6 \\pm 0.3$
Psychotria rubra
January$14.5 \\pm 0.3^{\\text {a }}$$ 10.8\\pm0.4^{\\mathbf{b}} $$14.5 \\pm 0.2^{\\text {a}}$
July$17.2 \\pm 0.6^{a}$$13.9 \\pm 0.2^{\\mathrm{b}}$$15.2 \\pm 0.2^{\\mathrm{c}}$
Rhodomyrtus tomentosa
JanuaryNP$8.7\\pm0.3^{\\mathrm{a}}$$10.1 \\pm 0.5^{b}$
JulyNP$11.1\\pm0.4^{\\mathrm{a}}$$12.6 \\pm 0.5^{b}$
Schefflera octophylla
JanuaryNP$15.2\\pm0.1^{\\mathrm{a}}$$15.9 \\pm 1.7^{a}$
JulyNP$16.9 \\pm 0.7^{a}$$15.5 \\pm 0.7^{b}$
Schima superba
January$11.9 \\pm 1.4^{a}$$10.1 \\pm 0.2^{\\text {a }}$$10.1 \\pm 0.7^{a}$
July$ 20.1 \\pm 1.4^{a} $$14.3 \\pm 0.5^{b}$$15.0 \\pm 0.3^{b}$
"} {"image_path": "images/1d9c229aa90f296028f4c025d029a897.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
QualificationNumber$Percentage (\\%)$
a MBBS8016
b) BTech8016
c)BCom8016
d)BSc9017
e) BSc-H9719
f)BA8016
Total507100
2. Religion
a) Hindu8216
b) Muslim42584
c) Sikh--
d) Christian--
Total507100
3. Age of Respondents
a) 20-25years42784
b) 26-30years8016
Total507100
4. Monthly Income of Family
a) Below 5,00010521
b) 5,000-15,00017134
c) 15,000-50,00016933
d) Above 50,0006212
Total507100
"} {"image_path": "images/88fb15dd55ff60dd662813520c0c2b3f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GroupFailuresTurbineNumber-Stage
161-170.........
171-1805 P.L.P.2-2
2-3
1-1
251-2601 P.L.P.1-2
261-295144 S.L.P.1-2
......2-3
......1-4
10 P.L.P.1-1
3-2
3-3
1-4
2-5
"} {"image_path": "images/8bfb5e497c523cd4ff903529bc7fdbd3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
砖 标 号砂 浆 标 号
10050251040
150262218151311
10021181512107
751814121096
50#109763.5
(11)(10)(8)(7)(4)
"} {"image_path": "images/148e5cee32f45f02b2e84f86b28ef6ac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dependent variableTree componentMeasurementUnits
1THITopHeight increment$\\mathrm{cm}~\\mathrm{yr}^{-1}$
2NewBranches, allNew branches > 2 cmcount
3TMIAboveground, allMass increment$\\mathrm{kg}~\\mathrm{yr}^{-1}$
4WVIMain trunk, allWood volume increment$\\mathrm{m}^{3} ~\\mathrm{yr}^{-1}$
5SVIMain trunk, allRadial increment$\\mathrm{mm}~\\mathrm{yr}^{-1}$
6DBHIMain trunk at BHDiameter increment$\\mathrm{mm} \\mathrm{yr}^{-1}$
7DTBIMain trunk at TBDiameter increment$\\mathrm{mm}~\\mathrm{yr}^{-1}$
8BMI-UBranches, upper crownMass increment$\\mathrm{kg}~\\mathrm{yr}^{-1}$
9BMI-LBranches, lower crownMass increment$\\mathrm{kg}~\\mathrm{yr}^{-1}$
10BDI-U1Branches, upper crownDiameter increment$\\mathrm{mm}~\\mathrm{yr}^{-1}$
11BDI-U2Branches, upper crownDiameter increment$\\mathrm{mm}~\\mathrm{yr}^{-1}$
12BDI-U3Branches, upper crownDiameter increment$\\mathrm{mm}~\\mathrm{yr}^{-1}$
13BDI-LBranches, lower crownDiameter increment$\\mathrm{mm}~\\mathrm{yr}^{-1}$
14SC-U1Branches, upper crown3-yr slope changedegrees
15SC-U2Branches, upper crown3-yr slope changedegrees
16SC-U3Branches, upper crown3-yr slope changedegrees
17SC-LBranches, lower crown3-yr slope changedegrees
18OrthosTarget branchesOrthotropic reiterationcount
19BDI-subTarget branchesDiameter increment$\\mathrm{mm}~\\mathrm{yr}^{-1}$
20BMI-subTarget branchesMass increment$\\mathrm{kg}~\\mathrm{yr}^{-1}$
"} {"image_path": "images/7ad14d20214bda37404149771ab21a17.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
knmavg($S_\\circ $)$\\operatorname{avg}\\left(E\\left(S^{\\prime}\\right)\\right)$$-\\left.E^{*}\\left(S^{\\prime}\\right)\\right)$$\\operatorname{avg}\\left(E\\left(S^{\\prime}\\right)\\right)$
1250125111.550.0819.26
2501.0731.59
5005.8146.79
500250143.160.5215.08
5001.2423.89
10004.4133.49
1000500166.600.2210.06
10001.1615.21
20003.2121.45
0.0125012511.191.160.89
250-0.051.46
5000.182.41
50025012.820.020.86
500-0.031.46
10000.082.27
100050014.46-0.020.86
1000-0.061.44
20000.372.41
"} {"image_path": "images/48dce0664b8eb59b32fa9ef8f57292c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sl. no.ParameterCAC [17]BFS AC
Proximate analysis
1Moisture6.119.34
2Volatile matter72.2961.08
3Fixed carbon21.0228.73
4Ash0.580.85
Sl. no.ParameterCAC [18]BFS AC
Elemental analysis
1Carbon8858.68
2Hydrogen0.44.05
3Sulphur-0.00
4Nitrogen2.10.43
5$Oxygen^a$9.536.84
"} {"image_path": "images/ebc961ce2be092f87a56c72ca7c481ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ReactionFrequencyfactor*Activationenergy$(kcal \\ mole^{-1})$Rateconstant*at 570°CReference
[1i]$1.0\\times10^{14}$5011.0Estimated
[2]$7.7\\times10^{11}$10.4$1.55\\times10^9$Est.from Boddy andSteacie (21)
[3]$6.5\\times10^{11}$24.0$3.92\\times10^5$Gruver andCalvert (22)
[4]$1.6\\times10^{11}$22.0$3.18\\times10^5$Kerr and Trotman-Dickenson (23)
[5]$2.7\\times10^{11}$9.0$1.26\\times10^9$Jones andSteacie (24)
[6]$3.0\\times10^{14}$39.5$1.74\\times10^4$Bywater andSteacie (25)
[7]$1.0\\times10^{14}$7.9$8.97\\times10^11$Schiff andSteacie (26)
[11]$3.0\\times10^{11}$0$3.00\\times10^11$Estimated
[12]$5.0\\times10^{14}$59$2.56\\times10^-1$Est. from McKenney,Wojciechowski,andLaidler (4)and Gowenlock,Trotman, andBatt (27)
[13]$7.0\\times10^9$0$7.0\\times10^9$Estimated
[14]$1.9\\times10^16$48$6.90\\times10^3$Calc.from Clyneand Thrush (28)using S =3
"} {"image_path": "images/2b19d6ea7a7991a9eab553d5c82e47b8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Grey relational coefficients
No.UltimatetensilestrengthPercentageof elongationGreyrelationalgradeOrder
10.3330.3330.1679
21.0001.0000.5001
30.9400.9960.4772
40.6880.5240.3246
50.8800.6580.4124
60.6960.5720.3335
70.3810.4010.1938
80.8710.9940.4513
90.6360.6350.3187
"} {"image_path": "images/89319e56d57acf815c8474d5f94c6c3a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SpeciesnFrequencyOccurrenceMean MaxN whenpresent
Sebastes melanops1770.5Common3
Sebastesmystinus/diaconus940.27Common3.76
Enophrys bison1<0.01Rare1
Scorpaenichthysmarmoratus120.03Rare1
Sebastes pinniger130.04Rare2.15
Sebastes nebulosus40.01Rare1
Hexagrammosdecagrammus1890.54Common1.15
Ophiodon elongatus970.27Common1.12
Oxylebius pictus20.01Rare1
Rhacochilus vacca670.19Rare1.42
Sebastes maliger1<0.01Rare1
Embiotoca lateralis1160.33Common2.09
Anarrhichthys ocellatus20.01Rare1
Sebastes ruberrimus1<0.01Rare1
Sebastes flavidus110.03Rare2.27
"} {"image_path": "images/2e7d3fa589a37c8fa0f919b6ff8a0685.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CottonSubstrateconcentration(% w/v)Enzymeconcentration(% owf)Reactiontime (min)Labeled as
Cellusoft L
Raw1.60.2530Cell 1.6-0.25-30
1.60.25120Cell 1.6-0.25-120
1.6130Cell 1.6-1-30
1.61300Cell 1.6-1-300
Bleached1.60.25120Cell 1.6-0.25-120
2.20.25120Cell 2.2-0.25-120
1.60.75300Cell 1.6-0.75-300
CBD-free EG solution
Raw1.60.2560EG 1.6-0.25-60
1.60.7560EG 1.6-0.75-60
Bleached1.60.75120 EG 1.6-0.75-120
1.60.2515EG 1.6-0.25-15
2.20.2515EG 2.2-0.25-15
1.60.25300EG 1.6-0.25-300
"} {"image_path": "images/038ed76a4446bfa8ab5b623236c6843c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
杂质/残余物除杂质的有效性
有效较有限无效
极 性 手印盐X
松香活化剂X
活化剂残渣X
切割油X
暂时性焊印/焊接中止印X
焊接盐X
残渣镀敷X
残渣浸蚀盐X
中和器X
乙醇胺X
非极性松香固定纹X
石蜡X
焊接油X
切割油X
手印油X
焊剂松脂、松香X
标记X
手油X
硅有机树脂X
狭带残渣X
暂时焊印/焊接中止印X
有机溶剂膜X
表面活化剂X
粒子松脂和玻璃纤维屑X
金属和塑料加工废渣X
尘埃X
堆放污物X
纤维屑X
绝缘尘X
头发/皮肤X
"} {"image_path": "images/54c5bfa76d2e8db75ba790c5c396df01.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NotPresentPresent
Stylen%n%
Freestyle18274.36325.7
Greco-Roman18984.43515.6
Just started wrestling19389.42310.6
Total56482.312117.7
"} {"image_path": "images/6f92f695d29db5a0af753423bd6c3708.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FeaturesChandukala et al. (2011)Srinivasan, Vanhuele,and Pauwels (2010)This Study
Modeling Aspects
Dependent variablesUnivariate(purchase intent)Multivariate vector(brand salesand mind-set metrics)Multivariate vector(brand salesand mind-set metrics)
Objective data on brandperformance and advertising inputSelf-reported survey dataYesYes
Incorporates dynamicadvertising-sales responseOnly static on purchase intentYesYes
Incorporates permutations of(C, E, A) factorsBrand beliefs and intendedactionsOnly for itemsYes
Advertising triggers all factorsTriggers brand beliefsOnly for itemsYes
Incorporates purchase reinforcementNoOnly for itemsYes
Incorporates factor dynamicsNoOnly for itemsYes
Allows for lagged or concurrentfactor dynamicsNoNoYes
Allows for consumer segmentsYesNoNo
Bridges advertising-salesresponse and hierarchy of effectsDirect and indirecteffects of advertisingOnly for itemsYes
Methodological Aspects
Ensures consistency by denoisingmetricsNoNoYes
Extracts nonorthogonal factorsNoNoYes
Rotates factors orthogonallyNoNoYes
Tests factor retention(i.e., need for one or more factors)NoNoThrough RJ-MCMC
Bayesian estimation, inference, andselection (to discover operatinghierarchy)YesNoYes
"} {"image_path": "images/b841ef5a697aaaab2564167f0b003861.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Compound$ΔE(S_1-T_1)$$~ ~ {cm}^{-~1}$LiquidPolymerSurface*
name$I_2 / I_1$$\\tau_{\\text{in}},$$\\mu\\text{sec}$name$I_2 / I_1$$\\tau_{\\text{in}},$$\\mu\\text{sec}$$I_2 / I_1$$\\tau_{\\text{in}},$$\\mu\\text{sec}$
Eosin2800$\\mathrm{H}_2 \\mathrm{O}$205PVB230
Propanol6830OMC440705
Acetone5,515OEC2,535
Erythrosine2200$\\mathrm{H}_2 \\mathrm{O}$205OMC435
Propanol12,512OPC420
Acetone1010OEC320
Methyiene blue2510PVB1,2
Rhodamine 6G3400PVB13508
Acriflavine3100PVB3,6402206
Acridine orange2900PVB3301203
Anthracene12000Propanol1PVB7,620
Pyrene10000Propanol1PVB12,520
1,2-Benzanthracene9500Propanol1,6PVB1625
Chrysene7700PVB4,525
"} {"image_path": "images/dd9d850ca82dd3f68e2cd8e9df3b9165.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model乱数元最大適応度の到達
世代数適応度平均適応度最良個体のパラメータ
nrannkgfvgfva$\\alpha$$\\beta$$\\gamma$$\\zeta$$\\eta$
A-1101110.3620.3290.00930.04720.01280.94310.5561
A-220170.3620.290-0.00200.06810.01520.84600.4957
A-3301650.3550.3060.04320.08090.01500.78280.5140
A-440850.3460.288-0.00960.17260.01650.57270.5012
A-5501750.3560.3450.00630.10820.01570.70740.4974
A-6602720.3530.3270.00470.06530.00820.85410.7118
A-7702610.3480.3160.00130.16300.01590.58880.5059
A-880660.3520.325-0.00820.13680.01590.64120.4991
A-9902720.3660.334-0.00400.05040.01530.92820.4946
A-10100870.3520.3250.00210.13590.01680.64230.4968
平均値0.80.5
"} {"image_path": "images/7c3af601984ce3566686c1fa83a44eea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
General factors (mean values)Clustered groups/disturbance levels
G2G1G3G5G4
D0D1D2D3D4
Number of plots149685
Slope steepness29°32°36°19°18°
$\\text{Slope direction}^\\mathrm{a}$7.72.36.76.82
$\\text{Slope position}^\\mathrm{b}$1.51.81.62.32.2
Altitude (m)839821730.7664.8668.4
$\\text{Basal area }(\\mathrm{m}^{2}\\ \\mathrm{~ha}^{-1})^{\\mathrm{c}}$31.6293123.120.7
$\\text{Distance to habitation (m)}^{\\mathrm{d}}$2,5572,1781,6221,6632,040
$\\text{Distance to roads (m)}^{\\mathrm{e}}$855.7622.2295.6107.5240
$\\text{Basal area impact }D_{B}$1.61.81.62.32.4
$\\text{Habitation impact }D_{H}$1.41.62.22.21.8
$\\text{Road impact }D_{R}$3.6411.221.524.3
$\\text{Disturbance regime }D_{B}+D_{H}+D_{R}$6.67.8152634.3
"} {"image_path": "images/a75185676b1c5f2648f2a3ab33c02cd0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TemperatureDensity Viscosity
(K) $\\left(\\mathrm{kg}~\\mathrm{m}^{-3}\\right)$ $\\left(10^{-6} \\mathrm{~kg} \\mathrm{~m}^{-1} \\mathrm{~s}^{-1}\\right)$
344·00·977711·62
344·40·967311·67
344·80·950911·67
395·90·860413·37
397·60·860413·44
398·00·841513·45
452·20·745615·22
452·20·753415·21
452·30·737815·20
505·10·657517·16
505·20·649017·20
505·20·667317·16
558·30·607219·40
558·40·599419·36
558·60·589819·50
609·40·546821·31
609·60.555421·24
609·70·562721·24
609·80·569021·31
"} {"image_path": "images/b0c39e7f66c0e2444b10c022192044ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GradeNumber ofstudents Percent
56789
PSP from 5 to 9111112316
Movement out of PSP111101.5
1110043
1100054
1000043
Movement into PSP01111107
0011185.5
0001132
0000132
Never in PSP000004633
Various patterns of zeros and onesending in one107
Various patterns of zeros and onesending in zero2417
141100
"} {"image_path": "images/981bc7f862e2fbf75d3bf8d7e244cb4a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StagesSpermatogoniaSpermatocytesSpermatids
AInBYoungPrimaryOldPrimarySecondary
I1.265.07--16.87-44.31
II1.44.83--18.4-41.12
III1.26-7.29-19.59-39.14
IV1.5-10.02-18.92-41.63
V1.49-11.56-20.00-40.00
VI1.76--17.6718.15-43.84
VII2.75--17.0217.87--
VIII2.84--16.7718.39--
IX4.07--18.8220.87--
X4.02--17.2618.27--
XI4.14--18.3718.27--
XII4.22--18.25-23.23-
"} {"image_path": "images/0e70c9d8bfeb31b7eb7e8d55de451b5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
InitialN$\\bar{N} $ statesIFinal states$\\mathrm{m}_{\\text {SIC }}^{\\mathrm{A}}$$m_{\\mathbf{SIC}}^{\\mathbf{B}}$
Smesons
$S^{\\prime}=0$01πp$+8 \\sqrt{3} / 27$$-8\\sqrt{3}/27$
01$\\tilde{\\eta} \\omega$+ 8/9- 8/9
11$\\pi^{0} \\omega$+40/27-40/27
11$\\tilde{\\eta} \\rho^{0}$- 8/27+ 8/27
11$\\rho^{ \\pm} \\rho^{\\mp}$- 8/9+ 8/9
$S^{\\prime}=1$00ππ-20/90
00$\\tilde{\\eta}\\tilde{\\eta}$$+4 \\sqrt{3} / 9$0
00$ρρ$$-52 \\sqrt{3} / 27$0
00ωω+20/90
10$\\pi^{0} \\tilde{\\eta}$$ -8\\sqrt{3}/27 $0
10$\\rho^{0} \\omega$+ 8/270
11$\\pi^{ \\pm} \\rho^{\\mp}$-16/9+ 8/9
11$ρ^0$ω+16/9- 8/9
02$ρρ$$+8 \\sqrt{3} / 27$$-4 \\sqrt{3} / 9$
02ωω+ 8/9- 4/3
12$\\rho^{0} \\omega$$+32 / 27$-16/9
"} {"image_path": "images/f6a35c6018cb33328d41e632ee6ff4a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FREQUENCIE(MHz)PARTIAL ERRORS(dB)TOTAL ERROR(dB)
$\\sigma_{\\alpha - 1}$$\\sigma_{\\alpha'}$$\\sigma_B$$\\sigma_Y$$\\sigma_{Y,A}$$\\sigma_{Y,B}$$\\sigma$#$\\sigma_{\\text{Pa}}$$\\sigma_G$$\\sigma_K$$\\sigma_S$
2500.240.20$0.13 / 0.24$0.020.040.030.090.640.250.151.04
3000.240.20$0.13 / 0.24$0.020.050.010.090.620.250.151.02
4000.250.19$0.13 / 0.24$0.020.080.010.090.640.260.151.05
5000.240.20$0.13 / 0.24$0.020.170.030.090.660.320.151.13
6000.240.20$0.13 / 0.24$0.020.040.020.090.520.250.151.02
7000.240.20$0.13 / 0.24$0.020.030.010.090.610.240.151.00
8000.240.20$0.13 / 0.24$0.020.060.030.090.570.260.151.08
9000.240.19$0.13 / 0.24$0.020.050.020.090.650.250.151.05
9900.240.20$0.13 / 0.24$0.020.100.030.090.670.280.151.10
"} {"image_path": "images/816a219c27dd3152f56e91e2074b421f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Speed(rpm)Conventional ModelProposed Model
$T_{avg}$$K_t$$K_m$G$T_{avg}$$K_t$$K_m$G
05.5950.1554.908421.377164.64400.12903.380891.08433E-
685436E-05E-10602E-0510
5005.5950.1554.908421.377164.64400.12903.380891.08433E-
685436E-05E-10602E-0510
10001.7180.0474.629761.298984.27620.11872.866549.19367E-
549737E-06E-113384E-0511
15000.6610.0186.860161.924772.53820.07051.009943.23913E-
53376E-07E-12306E-0511
20000.2050.0056.651621.866250.95200.02641.420934.55726E-
99722E-08E-13746E-0612
"} {"image_path": "images/0c44724ecc98d6986f69025974e08dbf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
compound$\\lambda_{\\max .}\\mathring{\\mathrm{A}}$$\\epsilon_{\\max.}$ oscillatorstrength (f)
naphthalene(1)415010 0000·06
anthracene(1)(4680)(2 000)(0·01)
(2)424071 5000·4
naphthacene(1)4760(30 000)(0·1)
(2)460052 6000·4
(3)31208 0000·05
(4)2855195 0000·9
pentacene(1)(5250)(30 000)(0·2)
(2)4900205 0002·4
(3)(3830)(60 000)(1·4)
(4)3050630 0002·0
1:2-benzanthracene(1)54003 0000·02
(2)485023 4000·34
chrysene(1)57008 8000·15
(2)40101 8000·025
3:4-benzphenanthrene(1)51704 8000·05
(2)40001 5800·03
triphenylene(1)42804 1000·025
(2)34607 0000·06
1:2:5:6-dibenzanthracene(1)532567 0002·2
(2)424033 4000·4
coronene46101 0000·02
"} {"image_path": "images/813ece6920f5c3ca35ffb446d1623c3d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GradeSubjectGroupStatistic2009 (Placeb
MathAllDifference0.02
p-value0.30
BlackDifference0.04
p-value0.32
HighpovertyDifference0.04
p-value0.10
ReadingAllDifference0.05
p-value0.00
BlackDifference0.09
p-value0.02
HighpovertyDifference0.05
p-value0.00
"} {"image_path": "images/6f5ce539568f6acadb8f879f3fb526ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
C (5) *0.000N (1)-0.007
C (6) *-0.004C (2)-0.061
C (7) *0.005C (3)-0.136
C (8) *-0.001C (4)0.033
C (9) *0.0030 (1')-0.117
C (10) *-0.0030 (2')0.013
The atoms indicated by an asterisk were included in the calculation of the least-squares plane.
0.9273x-0.3480y-0.1378z=1.3916
"} {"image_path": "images/e035909142709cea01363e9bdc1f7505.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
UNWEIGHTEDREGRESSIONS $\\text{WEIGHTED*}$REGRESSIONS
(1)(2)(3)(4)
Dependent variable$\\operatorname{Ln}(Q / T)$$\\operatorname{Ln}(N / T)$$\\mathrm{Ln}(Q / T)$$\\operatorname{Ln}(N / T)$
Constant.75-6.375.32-5.29
(.40)(12.85)(2.90)(12.09)
Ln P-.49-.44-.11-.10
(.66)(2.43)(.18)(.72)
$\\ln \\bar{V}$.28.16.01.17
(1.52)(3.50)(.03)(5.20)
Ln W-.60.21-.91.13
(2.42)(3.45)(4.33)(2.69)
$\\hat{\\sigma}^2$-.35-.08-.56-.16
(2.90)(2.54)(4.12)(4.81)
$R^{2}$.07.18.41.97
$\\text{N observations}^{\\dagger}$211211211211
"} {"image_path": "images/c144a62afa25bebaf64ebee1084156eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$p_{1}$$p_{2}$$r_{1}$M=10M=20M=40$M=\\infty$
$\\\\\\rho$relative error
0.010.200.010.99180.99951.00001.0
$\\rho=1.23$0.1750.0320.000
0.050.200.050.94390.98400.99831.0
$\\rho=1.13$0.2150.4030.163
0.100.200.100.87580.93490.96941.0
$\\rho=1.01$0.1510.8110.737
"} {"image_path": "images/76dc4e0b6937f766c98c7493f118e3a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CatFactor locusApproximate contributions
Stage ⅢStage, $\\mathrm{VI}^{*}$
Cat FC-9$CM_M$15.144.7
$LG_M$14.713.3
$LG_B$2.77.3
$MOT_M$25.06.2
K= 8$RH_{1B}$$\\underline{N=32}$5.5$\\underline{N=30}$ 3.5
$OT_B$11.33.3
$RH_{2B}$0.74.2
$CAUD_B$3.92.4
MSE21.115.1
Cat FC-3$RH_M$24.636.8
$CM_B$0.411.6
$NR_B$7.43.2
K= 6$HYPO_B$$\\underline{N=16}$4.5$\\underline{N=16}$ 5.5
$LG_B$30.413.1
$SC_B$9.56.9
MSE23.222.9
Cat FC-14$LG_M$23.034.8
$CM_M$39.426.7
$LG_B$3.67.9
$NR_B$2.12.4
K= 7$RH_B$$\\underline{N=32}$3.6$\\underline{N=31}$ 5.3
$SC_B$3.64.3
$CAUD_B$0.3·0.6
MSE24.418.0
Cat FC-15$NR_M$32.455.0
$LG_B$19.812.8
$LG_M$11.52.0
$CM_B$4.91.6
K= 6$HYPO_B$$\\underline{N=32}$17.7$\\underline{N=32}$12.8
$RF_B$2.72.9
MSE11.012.9
"} {"image_path": "images/3488ad794b1313507590537db276a65b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Donor CellfractionHNK(%)Effector to target ratio
1.2:12.5:15:110:1
1PBMC15071720
$HNK-1^{+}$0193478
$HNK-1^{-}$9314
2PBMC13551223
$HNK-1^{+}$11233766
$HNK-1^{-}$3468
3PBMC$nt^{*}$5142546
$HNK-1^{+}$15284872
$HNK-1^{-}$00414
4PBMCnt5172438
$HNK-1^{+}$13285470
$HNK-1^{-}$02513
5PBMCnt251416
HNK-1 ${ }^{+}$7162941
$HNK-1^{-}$0148
6PBMCnt6143238
$HNK-1^{+}$19355978
$HNK-1^{-}$00717
7PBMC717284565
HNK-1 ${ }^{+}$16304248
$HNK-1^{-}$11612
8PBMC1010193653
HNK-1 ${ }^{+}$30466264
$HNK-1^{-}$441018
9PBMC1014243752
$HNK-1^{+}$21436679
$HNK-1^{-}$7131927
10PBMC1417284966
HNK-1 ${ }^{+}$36446172
$HNK-1^{-}$10152330
11PBMC2314274263
HNK-1 ${ }^{+}$18304355
$HNK-1^{-}$11131928
12PBMCnt29386470
HNK-1 ${ }^{+}$45636773
$HNK-1^{-}$7152239
13PBMC111203856
HNK-1 ${ }^{+}$nt386966
$HNK-1^{-}$32122753
14PBMC136142533
$HNK-1^{+}$591621
$HNK-1^{-}$7121625
"} {"image_path": "images/23422906952413229e8f0b81966b9f43.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CarcassAir velocity groupings
$0.10-0.29~m~s^{-1}$$0.30-0.65~m~s^{-1}$$0.80-1.30~m~s^{-1}$> 1.30 m s
Split50.302.1470.751.7054.051.9464.951.54
53.602.1570.851.8361.851.7868.251.90
61.951.4573.001.7873.151.6473.601.77
62.101.6176.801.8274.651.8178.601.72
70.851.9182.701.8180.451.8682.651.88
76.051.9183.101.74
Whole59.851.9244.551.8079.802.1372.001.74
45.251.44
Quartered106.91.54130.01.92134.31.94145.82.43
167.61.85
"} {"image_path": "images/66ef3120ce4ac5aed7ee98d946cba151.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Component/$E_{PL}$ at 12 K$\\Gamma_1$ ($s^{-1}$)$\\Gamma_2$ ($s^{-1}$)$E_1$(meV)$E_2$(meV)
Whole band2.7 × $10^9$8 × $10^{12}$20140
P31.028 eV8 × $10^9$2.5 × $10^{13}$30±10140±20
P21.080 eV5.5 × $10^9$9.5 × $10^{12}$14±4110±20
P11.136 eV1.7 × $10^{10}$8 × $10^{11}$12±290±20
"} {"image_path": "images/904be6bac7a85d35016135c2690c2530.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Farmer name / fieldSourcelocator as receiedSeason code asKASPPA codeVarietyassigned for ELISA or equivalentNumber of tubersBacterial Wiltpositive tubers% Infection
Boshi AlfredKASPPA $1^{\\text {st }}$1001Victoria25020.8
Boshi Alfred 7bKASPPA $1^{\\text {st }}$2001Victoria25020.8
Chemutia Fred 2.5bKASPPA $1^{\\text {st }}$3002Victoria50020.4
Chemutia Fred 7.5bKASPPA $1^{\\text {st }}$4002Victoria50020.4
Chemusto WilsonKASPFA $1^{\\text {st }}$14003Victoria500112.2
Cheruto EdwardKASPPA $1^{\\text {st }}$5004Victoria50000
Kaptekin MiriamlbKASPPA $1^{\\text {st }}$6005Victoria50000
Kaptekin Miriam 7bKASPPA $1^{\\text {st }}$7005#################
Kwemoi RoseKASPPA $1^{\\text {st }}$11006Victoria50000
Labou JulietKASPPA $1^{\\text {st }}$10007Victoria50040.8
Malinga DickSomikwa Scovia (1)KASPFA $1^{\\text {st }}$12008Victoria50020.4
6bKASPPA $1^{\\text {st }}$8009Victoria50000
Somikwa Scovia 23bKASPFA $1^{\\text {st }}$9009Victoria50020.4
Takwar CharlesKASPPA $1^{\\text {st }}$13010Victoria50000
Chemutai PhyllisKASPPA $1^{\\text {st }}$No code011Victoria50000
Sub total/mean6500270.42
Cheruto EdwardKASP A $2^{\\text {nd }}$15004Victoria25000
Kwemoi RoseKASPPA $2^{\\text {nd }}$16006Victoria50000
Takwar CharlesKASPPA $2^{\\text {nd }}$17010Victoria50020.4
Sub total/mean125020.16
Total/meanKASPPA Level7750290.37
Juliet LabouUNSPPA18No code
Wilson ChemustoUNSPPA19No codeVictoria50010.2
Total/meanUNSPPA level50010.20
"} {"image_path": "images/6be6dad7f28e293149c482204ddb4c67.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
UE
NLNMNSZPSPMPL
CENLNLNLNLNLNMNSZ
NMNLNLNLNMNSZPS
NSNLNLNMNSZPSPM
ZNLNMNSZPSPMPL
PSNMNSZPSPMPLPL
PMNSZPSPMPLPLPL
PLZPSPMPLPLPLPL
"} {"image_path": "images/368f78972d7323ffd24ce37bdd1c40a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Noiselevel(%)$\\frac{|\\alpha_1-\\hat{\\alpha}_1|}{|\\alpha_1|}\\times100$$\\frac{|\\alpha_2-\\hat{\\alpha}_2|}{|\\alpha_2|}\\times100$$\\frac{|\\alpha_3-\\hat{\\alpha}_3|}{|\\alpha_3|}\\times100$
01.8208e-111.4352e-101.2131e-09
10.0661520.319120.47765
30.195320.890110.99108
50.320771.37560.93457
100.62192.25091.5333
"} {"image_path": "images/52fd5bf670298a47711185a727fc7bbd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
製品品目受 注 量*材料パラメータ切削パラメータ工具寿命パラメータ時間パ ラ メ ー タ 費 用パ ラ メ ー タ
ABCDE切削#切削長切込み**送りこう配定数1分寿命削り速度段取時間準備時間工具交換時間段取費用切削経费工具费直接労務费間接费$\\stackrel{\\text{ * * *}}{\\text{原料費}}$$\\stackrel{\\text{ * * *}}{\\text{粗収入}}$
JmDL $d_o$fnC$t_s$$t_p$$t_c$$c_s$$k_m$$k_t$$k_d$$k_i$$m_c$$u_p$
No.pcsmmmmmmmm/revm/minmin/lotmin/pcmin/edge ¥/lot ¥/min ¥/edge ¥/min ¥/min¥/pc¥/pc
12020302040501501.000.300.25500.015.001.000.7519521008550200
240454030501002002.000.150.20450.010.002.001.0013031508520120
345306040801002001.500.100.33600.020.000.751.5026032008570220
43030404050752001.000.200.33550.020.001.502.0026042008530130
58045806090752001.500.150.20600.015.001.501.001954150851060
660309030701502502.000.100.20500.030.003.002.0039063008580380
71004010080100301002.000.200.25400.05.000.750.5065175851565
8503070· 20802004002.500.100.25700.040.005.002.005201050085150700
990208020901504001.500.250.33650.045.004.003.0058584008590440
1040255010601503001.000.050.25600.030.002.001.50390535085200850
"} {"image_path": "images/15d3e58c96ac0f80928541903c260954.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$O_1$$K_1$$M_2$$S_2$
$\\frac{k}{\\mathrm{~m}^{-1}}$$\\frac{\\theta}{\\mathrm{m}^{-1}}$A$\\frac{k}{\\mathrm{~m}^{-1}}$$\\frac{\\theta}{\\mathrm{m}^{-1}}$A$\\frac{k}{\\mathrm{~m}^{-1}}$$\\frac{\\theta}{\\mathrm{m}^{-1}}$A$\\frac{k}{\\mathrm{~m}^{-1}}$$\\frac{\\theta}{\\mathrm{m}^{-1}}$A
8280.0570.0781.40.0550.0851.60.0590.1151.90.0620.1202.0
5860.0050.0112.50.0060.0111.70.0060.0121.90.0080.0111.4
5840.0170.0181.10.0230.0251.10.0180.0321.70.0190.0331.8
5850.0110.0242.30.0110.0211.90.0120.0272.30.0140.0261.9
5960.0150.0352.30.0180.0351.90.0200.0432.10.0210.0422.0
8320.0030.03610.90.0100.0373.90.0030.04514.50.0020.04121.5
8330.0170.0321.90.0170.0311.80.0120.0463.70.0040.04311.2
6100.0130.0272.00.0180.0301.60.0160.0382.30.0150.0402.8
"} {"image_path": "images/a99d57812738818b4a3d90658713bb18.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
hkl$F_{o}$$F_{c}$
Fiber data (continued)
331
5216253
112
202112117
022
312192118
222
402128119
132
422
51211154
1138352
023
313132104
2238162
423
51317459
114
2045872
024
3148741
224
4045260
134
424
5146449
1159963
025
315
1255145
"} {"image_path": "images/cbb895fc3aca9c3c3738d13f9bf57b10.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Forces andtorquesSymbolsEquations
Normal elastic force$\\mathbf{f}_{cn,ij}$$-\\frac{4}{3}E^{*}\\sqrt{R^{*}}\\delta_{n}^{3/2}\\mathbf{n}$
Normal damping force$\\mathbf{f}_{dn,ij}$$-c_n\\left(8m_{ij}E^*\\sqrt{R^*\\delta_n}\\right)^{1/2}\\mathbf{V}_{n,ij}$
Tangential elastic force$\\mathbf{f}_{ct,ij}$$-\\mu_s|\\mathbf{f}_{cn,ij}|\\left(1-\\left(1-\\delta_t/\\delta_{t,max}\\right)^{3/2}\\right)\\hat{\\mathbf{\\delta}}_t\\quad\\left(\\delta_t{<}\\delta_{t,max}\\right)$
Tangential damping force$\\mathbf{f}_{dt,ij}$$-c_{t}\\left(6\\mu_{s}m_{ij}\\left|\\mathbf{f}_{cn,ij}\\right|\\sqrt{1-|\\mathbf{v}_{t}|/\\delta_{t,max}}/\\delta_{t,max}\\right)^{1/2}\\mathbf{V}_{t,ij}\\quad\\left(\\delta_{t}<\\delta_{t,max}\\right)$
Coulumb friction force$\\mathbf{f}_{t,ij}$$-\\mu_{s}|\\mathbf{f}_{cn,ij}|\\hat{\\delta}_{t}\\quad(\\delta_{t}\\geq\\delta_{t,\\max})$
Torque by tangential forces$\\mathbf{M}_{t,ij}$$\\mathbf{R}_{ij}\\times(\\mathbf{f}_{ct,ij}+\\mathbf{f}_{dt,ij})$
Rolling friction torque$\\mathbf{M}_{r,ij}$$\\mu_{r,ij}|\\mathbf{f}_{n,ij}|\\hat{\\mathbf{\\omega}}_{t,ij}^{n}$
$\\text{where R* is the reduced radius of the particle i and j at the contact point.}\\frac{1}{R^{*}}=\\frac{1}{|\\mathbf{R}_{i}|}+\\frac{1}{|\\mathbf{R}_{j}|},E^{*}=\\frac{E}{2(1-\\nu^{2})^{*}},\\hat{\\boldsymbol{\\omega}}_{t,j,j}=\\frac{\\boldsymbol{\\phi}_{i,j}}{\\left|\\boldsymbol{\\omega}_{i,j}\\right|},\\boldsymbol{\\delta}_{t}=\\frac{\\boldsymbol{b}_{j}}{|\\mathbf{\\omega}_{t,j}|},\\delta_{t,\\max}=\\mu_{s}\\frac{2-\\nu}{2(1-\\nu)}\\delta_{n},\\mathbf{V}_{ij}=\\mathbf{V}_{j}-\\mathbf{V}_{i}+\\mathbf{\\omega}_{j}\\times\\mathbf{R}_{j}-\\mathbf{\\omega}_{i}\\times\\mathbf{R}_{i},\\mathbf{V}_{n,ij}=(\\mathbf{V}_{ij}\\cdot\\\\~~~\\mathbf{n})\\cdot \\mathbf{n},\\mathbf{V}_{t,ij}=(\\mathbf{V}_{ij}\\times\\mathbf{n})\\times\\mathbf{n}\\text{ Note that tangential forces }(\\mathbf{f}_{ct,ij}+\\mathbf{f}_{dt,ij})\\text{ should be replaced by }\\mathbf{f}_{t,ij}\\text{ when }\\delta_{t}\\geq\\delta_{t,max}.$
"} {"image_path": "images/f5de5f6719df660c9da647bf160da849.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParametersBldg-1
No.of Floor3
Total Area4075 $m^2$
Floor Height3.7 m
OrientationEast to West
External walls200 mm concrete masonry units (CMU) block-24 mm ofplaster inside and outside
Wall areaNorth: 485 $m^2$ East: 300 $m^2$ South 585 $m^2$ West: 300 $m^2$
Internal wall2 × 25 mm gypsum plaster with 100 mm cavity
Roof200 mm concrete, slab 50 mm screed, 50 mm sand and 10 mmceramic tiles
WWRNorth: 0.37 East: 0.30 South: 0.24 West: 0.30
Glazing6 mm double reflective glass
Glazing AreaNorth: 285 $m^2$ East: 125 $m^2$ South 185 $m^2$ West: 125$m^2$
Infiltration rate5.0 $m^3$/h/$m^2$
Ventilation rate7.5 L/s/person
ThermalZonesMulti-zones
Equipment20 W/$m^2$
Lighting18 W/$m^2$
HVACCentral
Set point(22-24 °C) Summer
temperature(20-22 °C) Winter
Occupancy4.5 $m^2$/p
"} {"image_path": "images/0d3f94c2641348f936ad5c0859f287a1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dimethylpropanal030180
Torsions
43210.0-30.0180.0
4325180.0153.10.0
6321-120.9-151.559.1
632559.131.6-120.9
7321120.989.7-59.1
7325-59.1-87.3120.9
8432180.0175.9180.0
8436-61.0-63.7-60.9
843761.058.560.9
943259.755.560.3
9436178.6175.8179.4
9437-59.3-61.9-58.8
10432-59.7-64.1-60.3
1043659.356.358.8
10437-178.6178.5-179.4
1463263.062.463.7
14634-57.2-58.1-56.5
14637179.9179.3-179.1
15632-57.8-58.3-56.4
15634-177.9-178.8-176.6
1563759.158.760.8
16632-177.3-177.9-176.4
1663462.561.663.4
16637-60.4-61.0-59.2
1173257.859.256.4
11734177.9178.1176.6
11736-59.1-59.0-60.8
12732-63.0-61.4-63.7
1273457.257.556.5
12736-179.9-179.7179.1
13732177.3178.8176.4
13734-62.5-62.2-63.4
1373660.460.659.2
E rel0.00.81.5
"} {"image_path": "images/c54ce85f962ffcebe36bc131ac6843c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sensory Symptomaticamplitude (μV)Symptomaticlatency (ms) Recoveryamplitude (μV) Recoverylatency (ms)
Right sural15.12.513.71.9
Left sural14.62.512.51.6
Right median3.0*2.82.5*2.9
Left median2.9*3.110.3*3.0
Right ulnar3.4*2.67.0*2.6
Left ulnar3.4*2.86.8*2.8
Motor Symptomaticamplitude (mV)Symptomaticlatency (ms)SymptomaticCV (m/s) Recoveryamplitude(mV) Recoverylatency (ms) RecoveryCV (m/s)
Right tibial1.9*21.1*32.3*4.317.138.1
Left tibial2.1*21.0*34.6*4.417.0 37.7
Right median5.59.049.59.88.8 55.9
Left median2.6*9.450.09.58.6 53.9
Right ulnar10.59.457.59.210.4 50.0
Left ulnar11.89.355.610.49.8 52.4
"} {"image_path": "images/2fe35b96da7e558d9d497b463544d42a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目螺纹连接活 接 头 连 接
适用单链煮茧机适用单链煮茧机适用双链煮茧机
H=546H=572H=634
名 称外径壁厚展开长度材料重量展开长度材料重量展开长度材料重量
毫米毫米毫 米公 斤毫 米公 斤毫 米公 斤
$\\phi 32$ 五弯盲管322.533606.89----
1.5--34564.4238284.89
$\\phi 32$ 三弯盲管322.521864.48----
1.5---22302.8524783.17
$\\phi 26$ 五弯盲管26233924.55-----
1.5--35003.5938723.97
$\\phi 26$ 三弯盲管26222062.96----
1.5--22622.3225102.57
$\\phi 20$ 五弯盲管26234263.45---
1.5--35362.7339083.02
"} {"image_path": "images/2d21b9f46a3dd470104dce1dc372b43a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Source Number ofobservationsMean coefficients for:
$RF_1\\dagger$$RF_2$$RF_3$$RF_4$
$\\underline{\\text{This study}}$
Field corn11-0.468(0.004)$\\ddagger$-0.672(0.004)0.178(0.008)0.544(0.007)
Sweet corn9-0.465(0.009)-0.675(0.004)0.212(0.009)0.530(0.010)
Grain sorghum16-0.450(0.004)-0.676(0.003)0.200(0.011)0.546(0.005)
Pearl millet15-0.460(0.002)-0.659(0.004)0.134(0.013)0.578(0.006)
Pinto bean5-0.454(0.010)-0.686(0.004)0.280(0.008)0.494(0.011)
Soybean13-0.477(0.009)-0.651(0.011)0.217(0.015)0.544(0.008)
Sunflower7-0.434(0.005)-0.705(0.009)0.295(0.010)0.475(0.009)
All crops combined76-0.460(0.003)-0.671(0.003)0.202(0.007)0.540(0.005)
Rice et al., 1980---0.489-0.6120.1730.595
Jackson, 1983---0.448-0.6900.0670.565
"} {"image_path": "images/778bc2474bf3dfbbbe370f517f405743.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableModel 1Model 2
CoeffSECoeffSE
Secondary and above$ -0.11 $*0.043$-0.11$**0.043
Interaction terms
$\\mathrm{Male}\\times\\mathrm{education}$
Primary and below$-$$-$$-0.33$**0.13
Senior high/technical and above$-$$-$0.120.15
$\\text{Male }\\times\\text{urbanicity}$
Rural residence$-$$-$$-$0.160.11
Urban residence and Hukou$-$$-$$-0.31$**0.1
$\\mathrm{Education}\\times\\mathrm{urbanicity}$
$\\text{Primary and below }\\times\\text{rural residence}$$-$$-$0.0360.1
$\\text{Primary and below }\\times\\text{urban residence and Hukou}$$-$$-$$-$0.090.11
$\\text{Senior high/technical/tertiary }\\times\\text{rural residence}$$-$$-$0.230.16
$\\begin{aligned}&\\text{Senior high/technical/tertiary }\\times\\text{urban residence and}\\\\&~~~\\text{Hukou}\\end{aligned}$$-$$-$0.26*0.12
$\\text{Education }\\times\\text{urbanicity }\\times\\text{male}$
$\\text{Primary and below }\\times\\text{rural residence }\\times\\text{male}$$-$$-$$-$0.120.15
$\\begin{aligned}&\\text{Primary and below }\\times\\text{urban residence and}\\\\&~~\\text{Hukou }\\times\\text{male}\\end{aligned}$$-$$-$0.260.17
Senior high/technical/tertiary $\\times$ ruralresidence $\\times$ male$-$$-$$-$0.130.2
Senior high/technical/tertiary $\\times$ urban residence andHukou $\\times$ male$-$$-$$-$0.030.16
$-$2 Pseudo LL16,089.616,007
BIC16,340.816,378.9
Number of cases23,18623,186
"} {"image_path": "images/c09e218e657f3c624e89cb63ec55d28c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CrossProposed parentalgenotypesS%R%Progeny phenotypes% Recombination
+dt$w^{r e}$$\\begin{gathered}d t \\\\w^{r e}\\end{gathered}$+dt$w^{r e}$$\\begin{gathered}d t \\\\w^{r e}\\end{gathered}$$d t-w^{r e}$$w^{r e}-M$$d t-M$
I$\\frac{d t \\quad w^{r e}}{d t \\quad w^{r e}} \\times \\frac{d t \\quad w^{r e}}{+\\quad+} \\alpha$2.867.3522722303189313820.8**$11.5^{* *}$$31.6^{* *}$
J$\\frac{d t \\quad w^{r e}}{d t \\quad w^{r e}} \\times \\frac{d t \\quad w^{r e}}{+\\quad+} \\beta$6.970.91614446173173383216419.2**51.747.4
"} {"image_path": "images/c66a2d3d8854ff3a24d8947f139dfa65.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Group 1$(n=168)$p Value $$ \\begin{gathered} \\text {Group 2 }\\\\ (n = 101) \\end{gathered} $$p Value
$\\begin{array}{l}\\mathrm{AHI < 15}\\\\(n = 72)\\end{array}$$ \\begin{array}{l}\\text {AHI} \\geqslant 15\\\\ (n = 96)\\end{array} $$ \\begin{array}{c}\\mathrm{AHI} < 15\\\\ (n = 50)\\end{array} $$\\begin{array}{c}\\mathrm{AHI} \\geqslant 15\\\\(n = 51)\\end{array}$
BMI, $\\mathrm{kg} / \\mathrm{m}^{2}$$28.5 \\pm 2.5$$29.5 \\pm 2.9$NS$28.1 \\pm 2.1$$29.5 \\pm 2.9$NS
sGrs, $\\mathrm{cm} H_{2} O^{-1} \\cdot s^{-1}$ $0.116 \\pm 0.025$$0.084 \\pm 0.020$ $< 0.0001$ $0.118 \\pm 0.028$$0.081 \\pm 0.021$$< 0.0001$
$\\mathrm{Pa}_{\\mathrm{O}_{2}}, \\mathrm{~mm} \\mathrm{Hg}$$85.0 \\pm 11.8$$79.1 \\pm 9.8$ $< 0.002$ $87.2\\pm 8.5$ $80.1 \\pm 9.9$$< 0.001$
$\\mathrm{Sa}_{\\mathrm{O}_{2'}} \\%$$96.7 \\pm 0.8$$95.7 \\pm 0.9$$< 0.0001$ $96.9\\pm 0.7$ $96.0 \\pm 0.7$$< 0.0001$
AHI, events/h$ 5.9\\pm 4.2 $$48.0 \\pm 28.4$$ 5.7\\pm 4.2 $$41.6 \\pm 23.6$
"} {"image_path": "images/b0890e76ad2880d45520505c6443c404.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sub-samplenItemsPersonsItem-trait int.*PSI
LocationFit residualLocationFit residual$\\chi ^2$$\\chi^{2}$ prob.
MeanSDMeanSDMeanSDMeanSD
OA biomarker1510.0001.010-0.0610.954-2.5671.977-0.3401.02543.300.97260.891
Community5300.0001.893-0.4241.076-0.5282.757-0.3830.92777.130.10860.949
OA cohort1810.0001.4650.6360.8490.9011.526-0.2981.12758.170.64880.818
Pre-TKR6970.0001.0940.1551.3871.1121.671-0.4391.04464.150.40100.828
"} {"image_path": "images/1e321d237286453d56cf123d585b846c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
First modeSecond mode
mm'4QC$\\delta$ mm'4QC$\\delta$
01.2511.5020.63731.823
02.3251.60201.0981.179
13.4521.96111.2521.502
14.7932.23211.6501.383
26.1892.53721.9141.593
27.7562.81622.3251.602
39.3133.08532.6591.768
311.043.34133.0971.822
412.713.59043.4711.960
414.593.83443.9232.031
516.384.14354.3282.154
518.384.29954.7952.232
"} {"image_path": "images/379c105a731370f4486321b3b774c4ed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variables(1)(2)(3)(4)(5)
IRR (96th)IRR (97th)IRR (98th)IRR (99th)IRR (95th)
Time working together HP1$-0.377^{* *} (0.119)$$-0.376^{* *}(0.124)$$-0.370^{* *}(0.138)$$-0.383^{*}(0.165)$$-0.358^{* * *}(0.099)$
Time working together^2 HP1$0.040^{* *}(0.013)$$0.040^{* *}(0.013)$$0.042^{* *}(0.015)$$0.050^{* *}(0.018)$ $0.036^{***}(0.011)$
Team heterogeneity-0.975 (1.119)-1.042(1.163)-1.166(1.297)-1.253(1.549)-0.624(0.929)
Investment team size0.003 (0.009)0.003(0.009)0.007(0.010)0.017(0.012)0.000(0.007)
TWT* team heterogeneity HP2$1.113^{*} (0.506)$ $1.134^{*}(0.526)$ $1.224^{*}(0.586)$ $1.495^{*}(0.701)$ $0.941^{*}(0.420)$
TWT $^{\\wedge} 2^{*}$ team heterogeneity HP2 $-0.146^{*} \\ (0.057)$ $-0.148^{*}(0.059)$ $-0.162^{*}(0.066)$ $-0.209^{* *}(0.079)$ $-0.126^{* *}(0.047)$
TWT* investment team size HP3-0.005 (0.003)-0.005(0.003)-0.007(0.004) $-0.010^{*}(0.005)$ -0.004(0.003)
TWT ${ }^{\\wedge} 2^{*}$ investment team size HP3$0.001^{*} (0.000)$ $0.001^{*}\\ (0.000)$ $0.001^{*}\\ (0.000)$ $0.001^{*}\\ (0.000)$ $0.001^{*}\\ (0.000)$
Team characteristics
Experience working together-0.016 (0.009)-0.016(0.010)-0.018(0.011)-0.022(0.013)-0.013(0.008)
Average age$0.038^{*} (0.016)$$0.038^{*}(0.017)$0.037(0.019)0.037(0.023)$0.039^{* *}(0.014)$
Number of countries0.017(0.086)0.016(0.089)0.007(0.099)-0.032(0.119)0.035(0.071)
Buyout characteristics
Holding period$-0.178^{* * *}(0.030)$ $-0.183^{***}(0.031)$ $-0.195^{\\star\\star\\star}(0.035)$ $-0.214^{***}(0.042)$ $-0.163^{* * *}(0.025)$
Transaction size0.000 (0.000)0.000 (0.000)0.000 (0.000)-0.000 (0.000)0.000 (0.000)
Number of co-investors0.000 (0.045)-0.002 (0.046)-0.006 (0.052)-0.014 (0.062)0.014 (0.037)
Lead partner characteristics
Seniority0.007 (0.018)0.007 (0.019)0.008 (0.021)0.015 (0.025)0.005 (0.015)
Age-0.003 (0.010)-0.002 (0.010)0.000 (0.011)0.001 (0.013)-0.006 (0.008)
Constant0.431 (0.629)0.429 (0.654)0.416 (0.729)0.363 (0.871)0.375 (0.522)
Observations185185185185185
R-squared77.22574.40767.16258.55395.883
"} {"image_path": "images/5a8b1ae5edc6a1a72f1052e7ddfffb39.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Resin VEUH20℃HTA carbonfibreComposite$(\\Phi_{\\mathrm{F}}=50 \\%)$20℃
$\\mathrm{E}_{1}[\\mathrm{GPa}]$3000235119
$\\mathrm{E}_{2}[\\mathrm{GPa}]$156.9
$\\mathrm{E}_{3}[\\mathrm{GPa}]$156.9
$\\mathrm{G}_{12}[\\mathrm{GPa}]$203.68
$\\mathrm{G}_{23}[\\mathrm{GPa}]$53.53
$\\mathrm{G}_{31}[\\mathrm{GPa}]$203.68
$n_12$0.350.280.32
$n_23$0.33-0.02
$n_21$0.020.02
$\\alpha_{1}~[1/ K]$55 E-6-0.4 E-60.3
$\\alpha_{2}[1/ K]$10 E-642 E-6
$\\alpha_{3}[1/ K]$10 E-642 E-6
"} {"image_path": "images/1757cadb265afc9ec98169fe715277e3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
association models
$U^{'}$$R^{'}$$C^{'}$$RC^{'}$
intrinsic association.61.62.64.64
correlation.51.53.54.55
$\\mathbf{row}\\:\\hat{\\mu}$
1-1.53-1.37-1.53-1.37
2-.62-1.07-.62-1.01
3.30.59.30.45
41.211.011.211.14
$\\text{column }\\hat{\\nu}$
11.051.05.83.86
2-.09-.09.51.45
3-1.23-1.23-1.36-1.35
"} {"image_path": "images/1882a565dd2335347a42c2ffd14f13a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Time (s)$3DKIN$$$$h=10^{-3}$$AMF$$$$h=10^{-4}$$GAEM$$$$h=10^{-4}$$FMM$$$$h=10^{-4}$$ECS$$$$h=10^{-4}$Exact
0.00.8160.8160.8160.8160.8160.816
0.051.124(-0.27%)1.127(0.0%)1.127(0.0%)1.127(0.0%)1.127(0.0%)1.127
0.101.406(-0.07%)1.408(0.07%)1.408(0.07%)1.408(0.07%)1.407(0.0%)1.407
0.151.660(0.0%)1.661(0.06%)1.661(0.06%)1.661(0.06%)1.661(0.06%)1.660
0.201.890(0.0%)1.890(0.0%)1.890(0.0%)1.890(0.0%)1.890(0.0%)1.890
0.302.289(0.04%)2.288(0.0%)2.288(0.0%)2.288(0.0%)2.288(0.0%)2.288
0.402.622(0.08%)2.621(0.04%)2.620(0.0%)2.620(0.0%)2.621(0.04%)2.620
"} {"image_path": "images/44cda78d4cd8924248ea092f9957b515.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
catalyst$d_{XRD}\\ (nm)^{a}$$n_\\text{sites }\\ (\\mu\\text{mol g}^{-1})^b $$n_{CO}\\ (\\mu mol~g^{-1})^{c}$
spentspentspent
initial$T^{d}$$t^{e}$initial$T^{d}$$t^{e}$initial$T^{d}$$t^{e}$
$Ni_{2}P-10\\ (Si)$5886137312113
$Ni_{2}P-10\\ (Zr) $32392651467163107
$Ni_{2}P-10\\ (Cab)$10128180147232142225
$Ni_{2}P-10\\ (Al) $364143504442406697
"} {"image_path": "images/6a656c0fc7eb0cf7e4082fc79f87f465.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目Item201020112012201320142015
居民消费价格总指数Consumer Price Index104.3106.1102.3101.9101.8100.7
服务项目价格指数Services Price Index103.7105.7101.4101.1101.8101.3
消费品价格指数Price Index of Consumer Goods104.4106.4102.8102.2101.9100.5
食品Food108.2111.8105.7103.4103.8102.4
粮食Grain113.7111.5105.0102.8101.7101.8
油脂Oil and Fat102.7116.7104.999.394.196.5
肉禽及其制品Meat, Poultry and RelatedProducts106.0120.0103.4104.299.9104.3
Eggs108.8114.496.5112.9111.699.2
水产品Aquatic Products109.3112.7108.4103.8106.4105.7
Vegetables111.894.9115.7105.499.2107.1
干鲜瓜果Dried and Fresh Melons & Fruits109.0120.694.299.1116.794.3
烟酒Tobacco and Liquor102.8101.799.899.2103.1
烟草Tobacco99.9101.6100.4100.199.8105.1
Liquor102.4105.8104.999.297.597.8
衣着Clothing98.9101.7100.5106.4102.2102.8
服装Garments98.9101.8103.0105.3104.2102.8
衣着材料Clothing Material106.6114.0103.4105.7104.4100.1
鞋袜帽Footgear and Hats98.2100.591.2110.893.6103.1
家庭设备用品及维修服务Household Facilities,Articles&Maintenance Services101.3104.6102.9101.9100.2101.5
耐用消费品Durable Consumer Goods98.1100.3101.498.998.497.7
室内装饰品Interior Decorations100.099.4100.7102.2106.2102.2
床上用品Bed Articles102.9112.1103.2102.5100.0101.7
家庭日用杂品Daily Use Household Articles100.4103.9103.3100.3100.2101.9
家庭服务及加工维修服务Household and ProcessingMaintenance Services112.8118.0107.4113.0104.4110.2
医疗保健和个人用品Health Care & Personal Articles108.2105.2101.5101.3101.5101.5
医疗保健Health Care109.4104.9101.1101.9102.5102.6
个人用品及服务Personal Articles and Services105.2106.1102.799.398.598.2
交通和通信Transportation and Communication100.7101.9100.499.7100.595.1
交通Transportation103.2103.6101.599.8100.993.5
通信Communication97.097.797.799.499.599.4
娱乐教育文化用品及服务 Recreation, Education,CultureArticles & Services100.5101.999.5100.6102.5102.2
文娱用耐用消费品及服务Durable Consumer Goods andServices88.387.984.590.296.596.5
教育Education101.3101.1103.0102.5100.3103.1
文化娱乐Culture and Recreation100.2104.6102.799.8100.7102.4
旅游Tourism107.0112.095.6100.4112.6101.6
居住Residence106.3107.0101.5100.7100.199.0
建房及装修材料Building & Decoration Materials102.8104.0102.2100.899.899.6
水、电、燃料Water, Electricity and Fuel107.1104.2101.1102.5101.297.1
"} {"image_path": "images/9b45179a2c02e69f1c3fb6bc21f85ae2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ClassifiersConfusion matricesClass 1Class 0Accuracy (%)Precision (%)Recall (%)
DT-IG Class 14421595.5693.6593.71
Class 016226
DT-GiniClass 14402493.9992.6890.01
Class 018217
MBL Class 1353 15363.0945.7336.64
Class 010588
NB Class 1434196.7091.9599.58
Class 022240
SVM Class 1419293.6586.4799.17
Class 039239
EnsembleClass 1445 5 97.4295.0797.88
Class 013236
"} {"image_path": "images/897eb9b3853f86c6f798554633172727.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Birds/cageFeedpresentationEggweight$\\%$ of EggAlbumen
YolkShellAlbumenHeightHaugh
(g)(mm)
1Mash54.527.710.461.97.085
Cafeteria54.127.411.061.66.380
Mixture55.027.810.861.46.481
2Mash57.227.410.562.16.883
Cafeteria56.826.911.361.86.480
Mixture57.227.311.061.76.481
Statistics
SEM $^{2}$, 35 df.53.30.15.38.13.8
Cage***$NS^3$***NSNSNS
FeedNSNS***NS******
"} {"image_path": "images/b4c17cb9b53b922b879fcdba4e35e5a7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$system^{a}$expt E$_{op}$, cm$^{-1}$(kJ/mol)expt $\\Delta $v$_{1/2}$, cm$^{-1}$calcd$^{b}$ $\\Delta $v$_{1/2}$, cm$^{-1}$$\\lambda _{TOTAL},$ $^{c}$cm$^{-1}$(kJ/mol)$\\Delta $G°,$^{d}$cm$^{-1}$(kJ/mol)% of $\\Delta G^\\circ$ in $E_{OP}$
[Ru-pz-Ru]$^{5+}$6300(75)180038151403(17)4897(59)78
[Ru-bpy-Ru]$^{5+}$10100(121)200048301732(21)8368(100)83
$[Ru(NH_{3})_{5}Py]^{2+/3+}$8800(105)230045102290(27)6510(78)74
$[Ru(NH_{3})_{6}]^{2+/3+}$9100(109)180045851403(17)7697(92)85
$[Ru(bpy350)_{2}(CN)_{2}]^{1+/0}$10200(122)450046858766(105)1434(17)14
"} {"image_path": "images/0c012633fe5825adb73ebbedac06c2cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Month$I_{c}\\left(W / m^{2}\\right)$Phoenix, AZ.Boston, $MA^{*}$Medford, OR
$\\bar{k}$$\\tilde{\\phi }$Eq. (11)$\\overline{\\phi }$Ref. $\\lgroup 11\\rgroup$$\\tilde{\\phi }$TMY$\\bar{K}$$\\tilde{\\phi }$Eq. (11)$\\tilde{\\phi }$TMY$\\bar{k}$$\\tilde{\\phi }$Eq. (11)$\\tilde{\\phi }$Ref. $\\lgroup 11\\rgroup$$\\tilde{\\phi }$TMY
Jan40.61.92.92.92.37.84.83.33.83.83.79
Feb200.67.69.68.67.41.49.52.44.48.48.47
Mar360.70.51.48.50.45.32.35.50.24.20.28
Apr80.74.87.88.87.43.78.78.54.73.73.72
May240.78.66.66.65.47.49.52.59.30.27.29
Jun400.75.43.42.42.52.30.32.64.04.06.03
Jul120.68.79.79.79.49.71.71.71.59.61.57
Aug280.69.58.56.57.47.44.43.66.34.29.32
Sep440.72.42.40.41.50.27.28.63.19.16.18
Oct160.69.76.75.75.45.60.60.52.61.60.59
Nov320.68.52.50.50.38.26.26.39.29.25.31
Dec480.59.28.24.24.35.08.06.27.05.03.07
Year.62.61.62.47.48.39.38.38
Latitude$ 33.43^{\\circ } $$ 42.37^{\\circ } $$ 42.38^{\\circ} $
Slope$ 33.43^{\\circ } $$ 42.37^{\\circ} $$ 90^{\\circ} $
Azimuth$ 0^{\\circ } $$ -45^{\\circ} $$ 0^{\\circ} $
"} {"image_path": "images/49156874bd864564c34eaa0053e44802.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Emotion and emotionalface/probe locationGroup
DepressedAnxiousControl
Angry
Same460 (75)442 (94)425 (77)
Different457 (71)438 (89)427 (83)
Sad
Same454 (72)436 (87)426 (83)
Different465 (71)438 (95)425 (72)
Happy
Same458 (64)440 (88)428 (72)
Different457 (70)436 (86)426 (82)
"} {"image_path": "images/4734631bff7bad1e52e1f3ba17fb6b49.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Declination (degrees)Dates (from 1964 Nautical Almanac)
23.5 21 June
2024 July 20 May
1512 August1 May
1027 August 16 April
510 September 2 April
023 September 21 March
-56 October 8 March
-1019 October24 February
-153 November 9 February
-2022 November22 January
-23.522 December
"} {"image_path": "images/2adb4e72c2f6832ec7b9999d51884356.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LiquidsFlash point in air(present work) (℃)Flash point in oxygen(present work) (℃)Flash point in air(reference) (℃)
Methyl alcohol7.0 to 7.77.3 to 8.111.0 [10]
Ethyl alcohol11.3$12.4^a$11.0 to 11.113.0 [10]
Isopropyl alcohol10.5 to 10.68.7 to 9.612.0 [10]
Toluene3.9 to 4.01.9 to 2.64.0 [10]
Tetrahydrofuran-20.8 to -20.6-20.6-17.0 [10]
Ethyl acetate-6.9 to -6.8-6.4 to -5.9-4.0 [10]
Dichloromethane$^{\\_\\mathrm{b}}$-7.130.0 [15]
102.8 [16]
"} {"image_path": "images/15a63cf0759d9e42971539f6fac25ba5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Specification 4Baseline 4-1No State-FixedEffect 4-2AlwaysSingle 4-3Clustering byMothers 4-4Add Edu.Level 4-5Including Better-EducatedMothers
Marginal effects of employment= $Y_e + \\sum_i Y_{aei} V_{1i}$
1% $0.430^{***}$ $0.194^{***}$ 1.0520.438 $0.541^{***}$ $0.360^{***}$
(0.048)(0.044)(0.263)(0.044)(0.042)
25%$0.350^{***}$ $0.155^{***}$ 0.313 $0.350^{***}$ $0.457^{***}$ $0.207^{***}$
(0.030)(0.024)(0.172)(0.034)(0.027)
50%$0.335^{***}$ $0.148^{***}$ 0.260 $0.335^{**}$ $0.264^{***}$ $0.177^{***}$
(0.031)(0.024)(0.173)(0.034)(0.026)
75%$0.322^{***}$ $0.141^{***}$ 0.202 $0.322^{**}$ $0.216^{***}$ $0.147^{***}$
(0.031)(0.024)(0.177)(0.032)(0.027)
99%0.050-0.1390.0460.50$0.057^{*}$ $-0.165^{***}$
(0.066)(0.062)(0.303)(0.066)(0.064)
Mean$0.326^{***}$ $0.135^{***}$ 0.289$0.326^{**}$ $0.322^{***}$ $0.170^{***}$
(0.031)(0.025)(0.176)(0.044)(0.027)
Marginal effects of welfare use= $Y_w + \\sum_i Y_{awi} V_{1i}$
1%$0.449^{***}$ $0.107^{***}$ 0.859$0.449^{**}$ $0.477^{***}$ $0.401^{***}$
(0.039)(0.021)(0.189)(0.039)(0.036)
25% $0.237^{***}$ $0.029^{**}$0.444 $0.237^{**}$ $0.242^{***}$ $0.151^{***}$
(0.024)(0.019)(0.121)(0.026)(0.022)
50%$0.151^{***}$$0.107^{**}$0.3290.151 $0.162^{***}$ $0.056^{***}$
(0.022)(0.021)(.117)(0.025)(0.019)
75%$0.081^{***}$ $0.029^{*}$ 0.1820.081 $0.075^{***}$ $-0.023^{*}$
(0.022)(0.019)(0.127)(0.025)(0.020)
99%$-0.152^{***}$ $-0.034^{**}$ -0.495-0.152$-0.169^{***}$ $-0.243^{***}$
(0.047)(0.020)(0.213)(0.045)(0.050)
Mean $0.157^{***}$ $0.035^{*}$0.304$0.157^{*}$ $0.159^{***}$ $0.068^{***}$
(0.022)(0.019)(0.117)(0.024)(0.019)
"} {"image_path": "images/89e49584c9ef6648b07ab8e6196cbdf7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(1)(2)(3)(4)(5)(6)(7)(8)(9)
$\\text{Model l: }\\tau=\\tau_0[(\\lambda/\\lambda_0)^{4/3}-1]$$\\text{Model 2: }\\tau=\\tau_0[(\\lambda/\\lambda_0)^\\alpha-1]$
TargetData Set$\\tau_0\\ (\\text{days})$x²/dofp$\\tau_0\\ (\\text{days})$$\\alpha$x²/dofP
Mrk 509Full0.82 ± 0.1735.90/6<0.00010.25 ± 0.192.48 ± 0.6830.77/5<0.0001
Mrk 509UVOT0.85±0.190.95/30.8140.44 ± 0.921.88 ± 1.830.86/20.6516
NGC 5548Full0.70± 0.0739.84/6<0.00012.83±0.530.44± 0.0912.36/50.0302
NGC 5548UVOT0.51 ± 0.090.85/30.83760.68 ± 1.141.12± 1.190.82/20.6645
NGC 4151Full0.66 ± 0.1073.77/6<0.00014.64 ± 1.320.19 ± 0.091.71/50.8873
NGC 4151UVOT0.35±0.120.81/30.84830.21 ± 0.541.76 ± 2.200.77/20.6815
NGC 4593Full0.27 ± 0.0418.75/60.00460.61 ± 0.110.52±0.172.12/50.8322
NGC4593UVOT0.11 ± 0.060.16/30.9834-2.80±20.29-0.10±0.740.12/20.9425
"} {"image_path": "images/1a2d4be017ceee79697a1081e83b056a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时钟/RAM数 据 格 式
D7D6D5D4D3D2D1D0
秒:00~59CH10秒
分:00~59010分
时:00~230010小时小时
日:01~310010日
月:01~1200010月
星期:01~0710000星期
年:01~9910年
控制WP0000000
涓流充电TCSTCSTCSTCSTCSDSRSRS
RAM 0~30xxxxxxxx
"} {"image_path": "images/415afdc4a0bc92e63cfc40de3634d007.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
#StudyLocationNSample Descriptor[Agerange]MeanAge, SD%racialorethnicminoritiesCross-Sectionalv.longitudinal v.RCTApproach
Adult Sample Populations
ICD Code for Gender Dysphoria
(1)Blosnich et al.(2013)U.S.-wide1326Veterans with ICD Code for genderidentity disorder (FY00-FY11)n.r.$^b$n.r.Cross-SectionalChartReview
(2)Blosnich et al.(2014)U.S.-wide5117Veterans with ICD Codes for genderidentity disorder, transsexualism, ortransvestic fetishism (FY98-FY13)n.r.$^b$n.r.Cross-SectionalChartReview
(3)Blosnich et al.(2016)U.S.-wide1640Veterans with ICD Codes for genderidentity disorder, transsexualism, ortransvestic fetishism with 1 past-yearmedical visit (FY13)[n.r.] 54.8,13.218.8Cross-SectionalChartReview
(4)Brown& Jones(2014)*U.S.-wide5135Veterans with ICD Code for genderidentity disorder (FY96-FY13)White TG:[n.r.]56.7,13.2Black TG:[n.r.]51.2,13.97.5Cross-SectionalChartReview
(5)Brown& Jones(2015)U.S.-wide4793Veterans with ICD Codes for genderidentity disorder, transsexualism, ortransvestic fetishism (FY00-FY13)[n.r.] 55.5,13.519.4Cross-SectionalChartReview
(6)Brown& Jones(2016)*U.S.-wide5135Veterans with ICD Codes for genderidentity disorder, transsexualism, ortransvestic fetishism (FY96-FY13)[n.r.] 55.8,13.519.8Cross-SectionalChartReview
(7)Lindsayet al.(2016)U.S.-wide332Veterans who served in Afghanistan withICD Codes for gender identity disorder,transsexualism, transsexualism withasexual history; transsexual withhomosexual history; transsexual withheterosexual history (FY00-FY13)[n.r.] 33.9,827.5Cross-SectionalChartReview
(8)Reisneret al.(2014)Boston, MA23Transmen who tested positive forsexually transmitted infection[n.r.] 32,7.352.2Cross-SectionalChartReview
Presenting for Services
(9)Keo-Meier etal.(2015)Houston, TX43Transmen presenting for hormonetreatment[n.r.] 26.6,8.426ProspectiveSurvey pre-posttreatment
(10)Leinunget al.(2013)Albany, NY$ \\begin{aligned} & 242\\\\ & (n=192\\\\ & T W, 50 \\mathrm{~TM}) \\end{aligned} $Transgender clients who receivedhormone treatments[n.r.] 36.3,12.3TW: [n.r.]38, 12.5TM: [n.r.]29.9, 9.9n.r.Cross-SectionalChartReview
(11)Nemoto et al.(2005)San Francisco, CA109Transwomen who participated in aworkshop series (health, mental health,substance use, connection to services)hosted by community organizationn.r.$^b$n.r.ProspectiveSurvey pre-posttreatment
Presenting for Services; Self-Identified
(12)Cole etal.(1997)n.r.435Transgender clients who presented forgender-related servicesTW: [n.r.]32,9TM: [n.r.]30,8n.r.Cross-SectionalChartreview
Self-Identified
"} {"image_path": "images/730a5050430f4dceb16df39c3a4f2d1c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
distance of blindnode toreference hodeBlindnode$d_0$$d_1$$d_2$$d_3$$d_4$$d_5$$d_6$$d_7$thecoordinateofblindnodes (x,y,z) [m]
[m][m][m][m][m][m][m][m]
$T_0$5.066.4512.0710.0812.719.2510.089.25(4.199,2.0015,1.9995)
$T_1$8.867.3810.8810.709.727.645.8711.77(6.1988,1.9988,6.0075)
$T_2$8.054.5712.847.8010.9911.178.9910.24(7.1878,3.011,2.01)
$T_3$7.216.9310.598.2510.399.599.388.49(5.1988,3.9998,3.0005)
$T_4$9.166.3111.137.748.9410.197.7410.19(7.2005,3.9973,4.003)
$T_5$5.266.6112.159.1512.7910.3811.128.22(4.2018,3.002,0.9993)
The coordinate of the central point:(5.6978,3.0017,3.0033),The mobile distance of central point:2.20 metersThe distance of central point to six blind nodes is:2.06,3.21,1.79,1.12,2.06,2.50
"} {"image_path": "images/ed6caf869f9121d25686d4d5536906a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
propertyfluidT, °Cpressure effectref
one-phaseregiontwo-phaseregion
${W_o}^{sat}$ethanepropane37$na^a$large32, this work
25nalarge19, this work
app hydro-dynamic radiusethanepropane37smallsee text45
25smallsee text45
$λ_{max}$ Of pyridineN-oxideethane37smalllarge18, this work
solubility oftryptophanethane37smalllarge18
FTIR spectra ofwaterpropane25smallnotstudied19
$λ_{max}$ of thymol blueethane25,37smallnotstudied26
emission max ofANSethanepropane37smalllargethis work
25smalllargethis work
emission intensity ofANSethanepropane37smalllargethis work
25smalllargethis work
"} {"image_path": "images/7698aae44a0d0d52efbf0d1c54c2f6a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
出 口进 口
19631964年 1~6 月19631964年 1~6 月
安哥拉0.2
喀麦隆0.2未知
刚果 (利奥波德维尔)0.6
埃塞俄比亚1.60.9
加 纳2.10.80.52.8
几内亚4.1未知0.9
象牙海岸0.2
"} {"image_path": "images/b793f02fd2e72a9ae6b4b419625d07e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Term$\\text{Measured}^\\mathrm{d}$$\\text{O}_{2}$ (2.28MPa)$\\text{N}_{2}$ (2.26MPa)$\\text{N}_{2}$ (0.10MPa)
Tubing bomb gas volume $[V_{\\mathrm{Bomh}}]^\\mathrm{a}$InitialAC0.0820.0850.081
FinalWDV0.0970.0900.095
Void volume $[V_{\\mathrm{Void}}]^\\mathrm{b}$InitialAC0.0190.0220.017
FinalWDV0.0340.0270.032
Active volume $[V_{A}]^{c}$InitialAC0.0510.0540.049
FinalWDV0.0660.0590.064
"} {"image_path": "images/6850f7ba050dcc7828f7b0585f2499b8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ver-suchs-personasec/mkp$p$$m$Dauerleistungs-GrenzwertLeistungs-Puls-Index
ausPausen-versuchenermitteltmkp/secausposenlosenVersuchenermitteltmkp/sec
B.0,1051,101,488,08,03,2
H.0,1031,091,418,58,42,5
P.0,1011,141,547,07,03,8
R.0,1201,081,309,09,22,7
S.0,1091,151,596,06,03,9
W.0,1021,121,537,27,13,4
A.*1,16 4,14,2
"} {"image_path": "images/c6cc89d74391299e10d18abe084c80d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\alpha\\left({ }^{\\circ}\\right)$$\\beta\\left({ }^{\\circ}\\right) $Method$\\delta\\left({ }^{\\circ}\\right)$010
$\\varphi\\left({}^{\\circ}\\right)$ 203040203040
-100Coulomb0.4330.2700.1580.3850.2450.146
PresentPlane surface0.4330.2700.1580.3850.2450.146
Quadric surface0.4760.2980.1670.4110.2660.160
$(9.93 \\%)$$(10.37 \\%)$$(5.70 \\%)$$(6.75 \\%)$$(8.57 \\%)$$(9.59 \\%)$
5Coulomb0.4610.2840.1640.4140.1520.152
PresentPlane surface0.4610.2840.1640.4140.2580.152
Quadric surface0.4870.2970.1770.4730.2780.162
$(5.64 \\%)$$(4.58 \\%)$$(7.93 \\%)$$(14.25 \\%)$$(7.75 \\%)$$(6.58 \\%)$
10Coulomb0.5000.3010.1710.4550.2750.159
PresentPlane surface0.5000.3010.1710.4550.2750.159
Quadric surface0.5650.3190.1880.5120.3010.173
$(13.00 \\%)$$(5.98 \\%)$$(9.94 \\%)$$(12.53 \\%)$$(9.45 \\%)$$(8.81 \\%)$
00Coulomb0.4900.3330.2170.4470.3080.204
PresentPlane surface0.4900.3330.2170.4470.3080.204
Quadric surface0.5100.3440.2210.4680.3230.210
$(4.08 \\%)$$(3.3 \\%)$$(1.84 \\%)$$(4.7 \\%)$$(4.87 \\%)$$(2.94 \\%)$
5Coulomb0.5240.3520.2270.4830.3270.214
PresentPlane surface0.5240.3520.2270.4830.3270.214
Quadric surface0.5410.3630.2320.5040.3400.220
$(3.24 \\%)$$(3.13 \\%)$$(2.2 \\%)$$(4.35 \\%)$$(3.98 \\%)$$(2.80 \\%)$
10Coulomb0.5690.3740.2380.5310.3500.225
PresentPlane surface0.5690.3740.2380.5310.3500.225
Quadric surface0.5830.3850.2440.5840.3650.232
$(2.46 \\%)$$(2.94 \\%)$$(2.52 \\%)$$(9.98 \\%)$$(4.29 \\%)$$(3.11 \\%)$
100Coulomb0.5590.4070.2870.5200.2750.275
PresentPlane surface0.5590.4070.2870.5210.3840.275
Quadric surface0.5660.4080.2880.5330.2770.277
$(1.25 \\%)$$(0.25 \\%)$$(0.35 \\%)$$(2.30 \\%)$$(1.30 \\%)$$(0.73 \\%)$
5Coulomb0.6000.4310.3020.5650.4090.290
PresentPlane surface0.6000.4310.3020.5650.2900.290
Quadric surface0.6090.4360.3030.5820.4170.291
$(1.50 \\%)$$(1.16 \\%)$$(0.33 \\%)$$(3.01%)$$(1.96 \\%)$$(0.34 \\%)$
10Coulomb0.6540.4610.3180.6260.3070.307
PresentPlane surface0.6550.4610.3180.6260.3070.307
Quadric surface0.6660.4670.3200.6560.3100.310
$(1.68 \\%)$$(1.30 %)$$(0.63%)$$(4.79%)$$(2.05 \\%)$$(0.98 \\%)$
"} {"image_path": "images/e0ef4824ac57bfb5d1c660f58f419a6d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T [°C]TargetError tolerance Comparison(profile/endpoint)
AbsoluteRelative
1st reduction with DRGEP
350$\\mathrm{n}-\\mathrm{C}_{12} \\mathrm{H}_{26} / \\mathrm{O}_{2} / \\mathrm{C}_{2} \\mathrm{H}_{4}$0.00130%profile
450 $n-C_{12} H_{26}/ O_{2}/ C_{2} H_{4}$ 0.00130%profile
550 $n-C_{12} H_{26}/ O_{2}/ C_{2} H_{4}$ 0.00130%profile
2nd reduction with DRGEP
350,450,550$\\mathrm{n}-\\mathrm{C}_{12} \\mathrm{H}_{26} / \\mathrm{O}_{2}$0.00550%endpoint
$\\mathrm{C}_2\\mathrm{H}_4$0.00150%endpoint
3rd reduction with FSSA
350$\\mathrm{n}-\\mathrm{C}_{12} \\mathrm{H}_{26} / \\mathrm{O}_{2}$0.00550%endpoint
$\\mathrm{C}_2\\mathrm{H}_4$0.00150%endpoint
450 $n-C_{12} H_{26}/ O_{2}/ C_{2} H_{4}$ 0.001550%endpoint
550 $n-C_{12} H_{26}/ O_{2}$ 0.00550%profile
$\\mathrm{C}_2\\mathrm{H}_4$0.00150%profile
4th reduction with FSSA
350$\\mathrm{n}-\\mathrm{C}_{12} \\mathrm{H}_{26} / \\mathrm{O}_{2} / \\mathrm{C}_{2} \\mathrm{H}_{4}$0.0130%profile
450 $n-C_{12} H_{26}/ O_{2}/ C_{2} H_{4}$ 0.0130%profile
550$ n-C_{12}H_{26}/O_{2}/C_{2}H_{4} $0.0130%profile
"} {"image_path": "images/43c3b7b3b8d8b90d5d039e8da435f8aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Vessel No.CatsSuperior MesentericArteryDiameter
Flow,ml/min perkg Escape in-dex, resist-anceBasel,$\\mathbf{\\mu m}$ Constric-tion, % con-trolEscape, $\\%$control Escape in-dex,diame-ter
Small mes-enteric ar-tery624.50.53727.573.093.70.81
±4.9±0.12±27.0±4.5±4.0±0.14
Muscle ar-teriole721.90.6234.575.9106.91.28
±4.6±0.09±4.6±4.9±4.8±0.16
Submucosalarteriole1124.50.6641.272.792.60.67
±5.4±0.09±2.9±4.6±4.0±0.09
"} {"image_path": "images/a65334946a6621ce140305a08ba5e297.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Real part of fp35°40°45
3·0692·6552·2675
Imaginary part of. fp—2·095—1·211—0·6488
50°55°60°65°70°75°80°
1·92611·63201·38111·16840·98810·83540·7058
-0·2870-0·05380·09510·1873 0·24130·26910·2789
85°90°95°100°105° 110°115°
0·59560·50170·42155(5)0·353020·29437(5)0·244150·20114
0·27660·26590·249810·230290·208820·186440·16394
120°125°130°135°140°145°150°
0·164300·132780·105890·083030·06372(5)0·047550·03417
0·141890·120710·100750·082240·065370·05028(5)0·03707
"} {"image_path": "images/fbba04924b97586bd643406f200ef9a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
主营业务收 入营业成本营业税金及附加其他业务利 润
# 个人资本
5126735323824959321821063
1584585939510725891006
119464555163391
158458208248831584826
402212433391
150164887763200421
52322217101
15011256554699421
3762247757
15695578103734732414
5063550241022
15187538903464629014
137029111
385722415180
569950498298453721001
78472820317421183
129960693191315
6335087348052
15356947495517
2173136405184134602
4082854294109
114585093332363262396
146697449245862522585
179853819
117510649467149421
22132956212913243818
131075394335327326189
5252434283220
"} {"image_path": "images/64e856ffc3799f168de2801492275a63.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
alcohol$\\mathrm{wt}\\ \\%\\ \\mathrm{H}_2 \\mathrm{O}$$\\text { wt % SDS }$$\\text { wt % ROH }$$\\left[\\mathrm{H}_{2} \\mathrm{O}\\right] /[\\mathrm{SDS}]$$d_{\\mathrm{m}}, \\mathrm{kg} / \\mathrm{L}$$n_{wp}, 10^{-22} \\mathrm{~L}^{-1}$$r_{wp},\\text{Å}$$r_c,\\text{Å}$N
1-hexanol35.015.050.037.40.913.519.028.825
28.612.359.10.884.018.230.123
21.09.070.00.874.717.131.619
27.519.353.222.80.914.417.628.834
22.515.861.70.885.016.830.129
19.013.467.60.876.315.630.124
14.610.275.20.857.015.131.721
9.96.983.20.847.814.535.219
22.724.153.215.10.917.015.126.332
15.716.767.60.888.714.028.325
12.012.875.20.8513.112.227.617
8.18.783.20.8410.013.334.722
5.05.389.70.8319.410.733.112
17.829.053.29.80.908.514.126.940
14.523.761.80.888.913.928.839
9.515.275.30.8514.711.828.823
6.410.383.30.8216.311.432.520
1-octanol20.020.060.016.00.896.515.527.432
10.410.479.20.8512.012.628.213
7.07.086.00.8314.311.830.615
"} {"image_path": "images/639eeb824d7d00edb64821012238d4fb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Irrigation regime$\\text{Irrigation volumes (m}^3\\ \\text{ha}^{-1}\\text{)}$$\\text{Total salt (Mg ha}^{-1}\\text{)}$
FWBWFWBW
$1^{\\text {st }}$ year$2^{nd}year$$3^{\\text {rd }}$ year$1^{\\text {st }}$ year$ 2^{\\text {nd }} \\text { year } $$3^{\\text {rd }}$ year
IRC$_{75 \\%}$2275305031352275305031356.5428.42
$\\mathrm{IRC}_{100 \\%}$3024371439763024371439768.2336.21
$ \\mathrm{IRC}_{100 \\%} \\mathrm{LR}_{50 \\%} $3174389741424038495850918.5947.86
$ \\mathrm{IRC}_{100 \\%} \\mathrm{LR}_{100 \\%} $3330408043005050615662008.9959.36
$\\text{ IRI}_{75}$2275305031352275305031356.5428.42
"} {"image_path": "images/fa662c69efafc69aa9ed204e3ee83ebe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
卷八十...................三六二卷七十九................三六一卷七十八................三六一卷七十七................三六〇卷七十六................三五八卷七十五................三五八卷七十四................三五八卷七十三................三五七卷七十二................三五六卷七十一................三五五卷七十...................三五五卷六十九................三五四
"} {"image_path": "images/7c1996b0ea36344ccfa7611b64b16c87.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\dot{Q} $,kW/m$\\bar{Q}_{NR}$ z/ h = 0z/ h = 0.1z/ h = 0.2z/ h = 0.3
$R{_D}$
0.00.00001.001.001.001.00
4.00.00380.8300.9060.9280.951
20.00.01920.5360.7480.8140.897
40.00.03840.4740.7250.7740.909
60.00.05760.4480.6950.7750.889
$S{_D}$
0.00.0000----
4.00.003855.830.923.616.1
20.00.019230.516.512.26.76
40.00.038417.39.037.422.99
60.00.057612.16.684.932.43
"} {"image_path": "images/b8d7c19d9c0ebd2d07054e0b68cfd414.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Primary ozonideSymmetryProperties offunctionalizedC-C bondDipolemoment (D)
$\\text{Length }(\\text{Å})$Bond order
Fullerene primary ozonides
$[6.6]-C_{60} O_{3}$ $C_s$1.610.822.47
$ab-C_{70} O_{3}$ $C_1$1.610.812.31
$cc-C_{70} O_{3}$ $C_s$1.590.752.41
Hydrocarbon primaryozonides
Ethylene primaryozonide$C_s$1.560.993.36
Benzene primaryozonide$C_s$1.571.093.61
Butadiene-1,3primary ozonide$C_1$1.560.923.37
"} {"image_path": "images/c20c243cbd0b63d16cf3f539dbdb606b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$n_d$$n_l/n_d$
VellingaHallermeierWang et al.$\\alpha_{\\mathrm{surf}}$
7.50.991.210.991.00
101.121.241.080.91
12.51.491.181.331.0
13.61.191.371.131.02
17.51.631.291.421.31
17.81.161.441.111.54
23.41.471.591.321.52
24.71.421.581.281.20
271.841.441.552.05
301.471.671.321.66
301.581.701.391.66
302.191.431.752.08
351.541.741.361.71
351.651.761.431.99
352.291.491.812.30
351.981.531.632.28
37.61.281.871.191.65
41.51.641.791.421.97
41.51.611.811.412.08
452.131.641.712.55
"} {"image_path": "images/b748f440797fe48bdad34fb39b03024f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
定 额 编 号C8-4-20C8-4-21C8-4-22
子 目 名 称洗涤盆
肘式开关脚踏开关
单把双把
基 价(元)一类二类三类259.69255.18251.37281.11276.60272.79384.36379.85376.04
其中人工费(元)材料费(元)机械费(元)115.32109.43- 115.32130.86-115.32234.11-
管理费(元)一类二类三类34.9430.4326.6234.9430.4326.6234.9430.4326.62
编码名 称单位单价(元)消耗量
00000001一类工工日28.004.124.124.12
ZC000626洗涤盆-[10.10][10.10][10.10]
ZC000628洗手喷头(带弯管)---[10.10]
ZC001472脚踏开关(带弯管)---[10.10]
ZC001466肘式开关(带弯管)-[10.10][10.10]-
ZC000529存水弯 塑料 S型 DN50-[10.05][10.05][10.05]
ZC001752$洗涤盆托架 -40 \\times 5$-[10.10][10.10][10.10]
ZC000545排水栓(带连堵) DN50 铝合金-[10.10][10.10][10.10]
14001002橡胶板 $\\delta 1\\sim 15$ kg4.100.200.200.20
17006001铅油kg5.410.280.400.45
17037001机油kg3.550.200.300.30
38022002钢锯条0.472.003.004.00
22005024精制六角带帽螺栓 M6×1000.1741.2041.2041.20
24005001镀锌钢管 DN15m5.970.602.0013.00
24002012焊接钢管 DN50m14.904.004.004.00
24204002镀锌管箍 DN150.5410.10--
24113001镀锌活接头 DN151.96--10.10
24138002锯锌弯头 DN150.83-20.2040.40
24198006黑玛钢管箍 DN502.4010.1010.1010.10
17022001油灰kg3.341.501.501.50
39001210线麻kg5.590.100.150.20
"} {"image_path": "images/6a6b3e4493174245518c881a17e04311.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\tau $$\\alpha=1/4$$\\alpha=1/2$$\\alpha=3/4$
${{E}_r(\\tau)}$${O}_r(\\tau)$${{E}_r(\\tau)}$${O}_r(\\tau)$${{E}_r(\\tau)}$${O}_r(\\tau)$
r = 3
1/105.253e-041.469e-033.128e-03
1/206.564e-053.0001.836e-043.0003.910e-043.000
1/408.204e-063.0002.294e-053.0004.886e-053.000
1/801.025e-063.0002.868e-063.0006.108e-063.000
1/1601.282e-073.0003.585e-073.0007.634e-073.000
r = 4
1/101.815e-045.352e-041.196e-03
1/201.134e-054.0003.345e-054.0007.478e-054.000
1/40$7.091{e}-07$4.0002.091e-064.0004.674e-064.000
1/804.432e-084.0001.307e-074.0002.921e-074.000
1/1602.770e-094.0008.166e-094.0001.826e-084.000
r = 5
1/108.011e-052.469e-045.751e-04
1/202.503e-065.0007.716e-065.0001.797e-055.000
1/407.823e-085.0002.411e-075.0005.616e-075.000
1/802.445e-095.0007.535e-095.0001.755e-085.000
1/1607.639e-115.0002.355e-105.0005.485e-105.000
r = 6
1/104.250e-051.363e-043.307e-04
1/206.641e-076.0002.129e-066.0005.167e一066.000
1/401.038e-086.0003.327e-086.0008.074e-086.000
1/801.621e-106.0005.198e-106.0001.262e-096.000
1/1602.533e-126.0008.123e-126.0001.977e-115.996
"} {"image_path": "images/684c6203ac15f8d5bff53c424123ecd4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ElementMaximumMinimumAverageSdevUnit$COV\\%^b$Numberof samples
Fe93.792.092.90.4%m/m0.5%15
Cu0.60.20.40.131%15
Zn0.10.010.040.069%15
Sn0.10.00.10.051%9
Al0.90.50.60.117%15
Si2.41.72.00.212%15
Zr0.010.0030.0040.00250%3
Cr0.30.10.20.136%15
Mo0.20.0050.0310.0148%15
Mn0.80.50.60.112%15
Ni0.10.10.10.000%4
Total C $\\%^a$3.2nd
Bi9.60.15.23mg/kg65%15
W9.20.14.4369%15
P578.50.273.7184250%15
Pb9.60.04.8368%15
Co8.30.94.7358%15
"} {"image_path": "images/ab2e2ed338fd02e11237d65f2d8a6fc1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableSymbolCoded variable levels
LowestLowCenterHighHighest
$-\\beta$-10+1$+\\beta$
$\\text{Oil phase content } (\\%, \\text{w/v})$$X_1$1014.062025.9530
$\\text{Emulsifier content } (\\%, \\text{w/v})$$X_2$0.60.841.21.561.8
$\\text{Co-emulsifier content } (\\%, \\text{w/v})$$X_3$0.10.180.30.420.5
"} {"image_path": "images/dcf9cb2b38eb63bf096ea8150bfd4970.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PropertiesCarboxydotrophic aerobesAnaerobes
Ps.carboxydovoransPs.carboxydohydrogenaPs.carboxydoflavaPseudomonasthermocarboxy-dovoransStreptomyces G26ClostridiumthermoaceticumAcetobacterium woodiiMethanosarcinabarkeriiRhodopseudomonasgelatinosa
Analytical data
Molecular weight300 000270 000nd440 000460 000232 000nd
Subunit107 000120 000nd78 000; 71 00080 000; 68 000$92000 ; 18000$nd
Configurationdimerdimernd$(\\alpha\\beta)_{3}$$(\\alpha\\beta)_{3}$$\\alpha_{2}\\beta_{2}$nd
Metal/sulphide8 Fe:8 ALS: 8 Fe: 8 ALS:nd$6 \\mathrm{Ni}: 32~ \\mathrm{Fe} ; 3~ \\mathrm{Zn}:$$5~ \\mathrm{Ni}: 27~ \\mathrm{Fe} ; ?~ \\mathrm{Zn}:$?Nind
(ALS)0.9 Mo0.8 Mo42 ALS36 ALS
Flavin2 FAD2 flavinndabsentabsentabsentnd
Molybdenopterinpresentndndabsentabsentabsentnd
Redox-active Niabsentndndpresentpresentndnd
Kinetic properties
Optimum pHOptimum7.07.57.210.6ndnd8.5
temperature63°C80°C65°C70℃ndnd24℃
$K_m$ for CO53 μM0.6 μM1.3 μMndnd5 mM121 μM
Inhibitors KCN, methanolKCN,methanol,8-hydroxy quinoline,iodoacetate,p-hydroxy mercuri-benzoateKCN, dipyridyl,p -hydroxy mercuri-benzoateKCNKCN$\\mathrm{KCN} ~\\mathrm{NA}_{2} \\mathrm{SO}_{3}$nd
Oxygensensitivityabsentabsentabsentpresentpresentpresentpresent
ElectronacceptorsMB, TH, DCPIP,PMS, TOLMB, FCN, TH,PES, PMS, CYT,DCPIPMV,BV,MB,TH,PM,DCPIP,CYT,FCN,TOLMV,BV,FLD,FD,RUB,MBMV, BV, FLD,FD, FMN, FAD,RUB, MBMVMV, BV, TRQ andothers
Specific activity3.911.6nd675500216nd
References10, 12, 14, 154, 53730, 31, 38302735, 36
"} {"image_path": "images/3bef8aa5550e4b471d7b36fce7ee6bfd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AtomHHeNeAr
Proton energy(MeV)0.255.00.255.00.255.00.255.0
Subshell
1s0.6400.0480.6050.0570.000 240.000 64$ 1.5 \\times 10^{-6} $$ 6.7 \\times 10^{-5} $
2s0.1480.0130.00530.0020
2p1.310.1620.0240.013
3s0.4370.026
3p4.380.437
$Total^a$0.6400.0480.6050.0571.760.1764.850.479
Recommended$values^b$0.6250.0470.6150.0561.470.1653.660.394
"} {"image_path": "images/fb1f680c0024e7e17960876994825819.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DepthDistanceFunctionEstimate
0.259.31
0.758.8
1.258.29
1.757.79
2.257.29
2.756.79
3.256.29
3.755.79
4.255.29
4.754.79
5.254.29
5.753.79
6.253.29
6.752.79
7.252.29
7.751.79
8.251.29
8.750.83
9.250.44$\\longleftarrow\\begin{aligned}&\\text{Top} \\\\&\\text{Boundary} \\\\&\\text{Location}\\end{aligned}$
9.750.05
10.25-0.33
10.75-0.71
11.25-1.1
11.75-1.48
12.25-1.86
12.75-2.24
13.25-2.62
13.75-2.7
14.25-2.29
14.75-1.79
15.25-1.29
15.75-0.79$\\longleftarrow\\begin{aligned}&\\text{Bottom} \\\\&\\text{Boundary} \\\\&\\text{Location}\\end{aligned}$
16.25-0.29
16.750.21
17.250.71
17.751.21
18.251.71
18.752.21
19.252.71
19.753.05
"} {"image_path": "images/19469d3309ab7b2a43cccede563bfdcd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model:Estimation method:LinearFractional probit
Instrumental variablesPooled QMLE
CoefficientCoefficientAPE
log(arexppp).5551.731.583
(.221)(.759)(.255)
lunch-.062-.298-.100
(.074)(.202)(.068)
log(enroll).046.286.096
(.070)(.209)(.070)
$\\hat{v}_{2}$-.424-1.378-
(.232)(.811)-
Scale factor-.337
Number of districts501501
"} {"image_path": "images/233376c4f5e4f1efa2768af9d03f9613.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号名 称项 目单 位
1 高压供油系统最高工作油压MPa31.5
正常工作油压MPa视载荷情况而定
单台流量手摇泵ml/次15
电动泵l/min2.5
2低压供油系统工作油压MPa0.5
单台流量l/min16
3高压系统驱动电机Y100L₁-4-V₁功率kW2.2
转速$\\gamma/\\text {min}$1420
电压VAC380
4低压系统驱动电机Y90S-4-$V_1$功率kW11
转速r/min1400
电压VAC380
5 电加热器$SRY_2$-220/2功率kW2
电压V220
6 冷书器$GLC_2$-3冷却面积$m_2$
耗水量l/min25
7滤油器过滤精度μm50
8油液牌号$N_22$-$N_120$
9油箱高压油箱容积1150
低压油箱容积I630
"} {"image_path": "images/97ca08276a9680542554c257989b3b69.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
zonenumber ofsitesrepresentednumber ofsamplesanalysednumber ofsamples con-taining Hederapercentage ofsamples con-taining Hedera
C2317343
C22125312
C2115260
C20212325
VII b, C196542037
C18528725
C17539923
VII aC1652229
C15520630
C145351131
C13520840
VIC12616637
C1139444
C1031417
"} {"image_path": "images/c67e6bdd2aed5dfdbe8b4a2e2a63e97c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\kappa$ValueStandarddeviationLower limit95% conf. int.Upper limit95% conf.int.$t_{0.95}$ value
$\\sqrt{K_{\\mathrm{H}_{2}}}$A*30.820.37530.0831.5681.97
B17,197186413,54520,8509.23
$K_{\\mathrm{H}_{2}\\mathrm{O}}$A*558.1710.18538.23578.1154.86
B124,1193058118,125130,11240.59
$\\frac{K_{\\mathrm{H}_2\\mathrm{O}}}{K_8K_9K_{\\mathrm{H}_2}}$A*3,453.38260.292,943.213,963.5513.27
B
$k_{5 \\mathrm{a}}^{\\prime} K_{2}^{\\prime} K_{3}$$K_4K_{\\mathrm{H}_2}$A*7,070.34259.756,561.237,579.4527.22
B36,6966102.824,73448,6576.01
$k_{1}^{\\prime}$A*1.650.021.611.6982.31
B-94,7651694-98,084-91,446-55.96
"} {"image_path": "images/aa7c079562c3d87d48cec30d83e6360b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名 称试样取向机 械 性 能淬硬层深度(毫米)辊身表面硬度Hs
$~~a_k$ 梅氏(公斤·$米/毫米^2$)$~~a_k$ 无缺口(公斤·$米/毫米^2$)$~~\\sigma_{u}$(公斤/毫米 $^{2}$ ) f(毫米)
$9\\ \\text{Cr}_2\\text{MoVSiCo}$熔 铸 辊纵横0.250.257.03.0>1592
0.371.094.52.0>1592
$~~~9\\ \\text{Cr}_2\\text{MoV}$锻 造 辊纵横0.371.237.55.0>1590
0.400.7551.02.0>15
"} {"image_path": "images/487d7874b7659115f1f619ca8b1c2600.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类型岩性结构面及充填特征建 议 采 用 值
c (bar)φ (°) $\\gamma$$\\left(\\mathrm{t} / \\mathrm{m}^{3}\\right)$ E$\\left(\\times 10^{5}\\right.$ bar)$\\mu $
浸水风干浸水风 干
节理大理岩平直、含泥00.3-0.51016-200.7-10.3
平直、千净0.51-22030-32
粗糙、含泥00.3-0.51220-250.7-10.3
粗糙、干净0.51-22532-35
闪长岩平直、含泥00.3-0.51015-200.7-10.3
平直、干净0.51-22025-30
粗糙、含泥00.3-0.51219-280.7-10.3
粗糙、干净0.51-22535-37
蚀交内长岩平直、含泥00.3-0.5814-180.7-10.3
平直、干净0.51-22025-26
粗糙、含泥00.3-0.51014-180.7-10.3
粗糙、干净0.51-22030
"} {"image_path": "images/8275a63e45d1f94c2186ccbe58b50ac6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\begin{array}{l}\\text { Substrate } \\\\ \\mathrm{ArCH}_{2} \\mathrm{X}\\end{array} $T(°C)Reactiontime(h)Conv.$(\\%)^{b}$ProductYield$(\\%)^{c}$
1Ar=PhX=CN1803.7510090
2$\\mathrm{Ar}=o-\\mathrm{MeOC}_{6} \\mathrm{H}_{5}$X=CN18014.510085
3Ar $=m-\\mathrm{MeO} \\mathrm{C}_{6} \\mathrm{H}_{5}$X=CN18010080
4 $\\mathrm{Ar}=p-\\mathrm{MeOC} \\mathrm{C}_{6} \\mathrm{H}_{5}$X=CN1804.759988
5$\\mathrm{Ar}=o-\\mathrm{MeC} \\mathrm{C}_{6} \\mathrm{H}_{5}$X=CN1807.59982
6$\\mathrm{Ar}=p-\\mathrm{MeC} \\mathrm{C}_{6} \\mathrm{H}_{5}$X=CN1807.59880
7$\\mathrm{Ar}=p-\\mathrm{Cl} \\mathrm{C}_{6} \\mathrm{H}_{5}$X=CN1802.2510089
8 $\\mathrm{Ar}=p-\\mathrm{F} \\mathrm{C}_{6} \\mathrm{H}_{5}$X=CN1802.7510081
9$\\mathrm{Ar}=m-\\mathrm{MeO}_{2} \\mathrm{C} \\mathrm{C}_{6} \\mathrm{H}_{5}$X=CN1808.0010091
10Ar=PhX = COOMe2208.009980
11Ar $=2-\\left(6-\\mathrm{MeOC}_{10} \\mathrm{H}_{6}\\right)$X = COOMe2206.0010090
"} {"image_path": "images/47798bc712d7dce8af1bc706a969a0b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
取代基质子类型α 位移$\\left(S~_\\alpha~\\right)$β 位移($S~_β$ )取代基质子类型α 位移$\\left(S~_\\alpha~\\right)$β 位移($S~_β$ )
—R00—CH = CH—R *$\\mathrm{CH}_3$1. 08
—CH = CH—$\\mathrm{CH}_3$0. 78—OH$\\mathrm{CH}_3$2. 500. 33
$\\mathrm{CH}_2$0. 750. 10$\\mathrm{CH}_2$2. 300. 13
CHCH2. 20
—Ar$\\mathrm{CH}_3$1. 400. 35—OR$\\mathrm{CH}_3$2. 430. 33
$\\mathrm{CH}_2$1. 450. 53$\\mathrm{CH}_2$2. 350. 15
CH1. 33CH2. 00
—Cl$\\mathrm{CH}_3$2. 430. 63—OCOR$\\mathrm{CH}_3$2. 880. 38
$\\mathrm{CH}_2$2. 300. 53$\\mathrm{CH}_2$2. 980. 43
CH2. 550. 03CH3. 43 ( 酯 )
—Br$\\mathrm{CH}_3$1. 800. 83—COR$\\mathrm{CH}_3$1. 230. 18
$\\mathrm{CH}_2$2. 180. 60( R 为 R 或 Ar ,OR, OH, H )$\\mathrm{CH}_2$1. 050. 31
CH2. 680. 25CH1. 05
—I$\\mathrm{CH}_3$1. 281. 23—NRR'$\\mathrm{CH}_3$1. 300. 13
$\\mathrm{CH}_2$1. 950. 58$\\mathrm{CH}_2$1. 330. 13
CH2. 750. 00CH1. 33
"} {"image_path": "images/a145df9c6ca875a36a7b9048effd7442.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
合金牌号合金代号主要元素的质量分数( % )
w(Si) w(Cu) w(Fe) w(Mg) w(Zn) w(Mn) w(Sn) w(Pb) w(Ti) w(Ni) w(RE) w(杂质) w(AI)
ZAlSi12Cu2Mg1ZL10811.0~13.01.0~2.0≤0.70.4~1.0≤0.20.3~0.9≤0.01≤0.05≤0.20≤0.30≤1.2余量
ZAlSi12Cu1Mg1Ni1ZL10911.0~13.00.5~1.5≤0.70.8~1.3≤0.2≤0.2≤0.01≤0.05≤0.200.8~1.5≤1.2余量
ZAlSi5Cu6MgZL1104.0~6.05.0~8.0≤0.80.2~0.5≤0.6≤0.5≤0.01≤0.05≤2.7余量
ZAlSi11Cu2FeZL113Y9.6~12.02.0~3.5≤1.0≤0.3≤1.0≤0.5≤0.3≤0.5余量
ZAlSi20Cu2Mg$ZL117^①$19~221.0~2.0≤0.100.40~0.800.30~0.500.5~1.5≤0.5余量
$AA390^②$16.0~18.04.0~5.00.6~1.10.45~0.65≤0.10≤0.10≤0.2≤0.2余量
"} {"image_path": "images/b18a1fcb9fda4a047a8e3d48c501f62b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 1 - Characteristic of the participants (n = 89).
VariableMean ± SD orproportion
Age(y)43 ± 10.4
Sex, n (%)
Man67 (75)
Woman22 (25)
Education level, n (%)
Primary school14 (16)
Junior high school14 (16)
Senior high school28 (31)
Undergraduate30 (34)
Graduate3 (3)
Working status, n (%)
None17 (19)
Part-time5 (6)
Full-time67 (75)
History of ESWL, n (%)
No13 (15)
Yes76 (85)
History of URSL, n (%)
No29 (33)
Yes50 (56)
"} {"image_path": "images/d0422a4d2361311a49e4c2cfe5ec242a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SOE-SHR conversions (probit: SOE = 0; SHR = 1)
$ln(VA/L_{t-1})$0.001(0.98)----
$ln(VA/K_{t-1})$-0.030(2.85)---
$ln(Profit/Sales_{t-1})$--1.877(5.20)--
$ln(NP/Sales_{t-1})$---0.216(0.98)-
$ln(RDE/Sales_{t-1})$----0.790(0.70)
INDyesyesyesyesyes
Regionyesyesyesyesyes
Yearyesyesyesyesyes
# of obs.20,28220,28220,28220,28220,282
(pseudo $R^2$)(0.073)(0.074)(0.078)(0.073)(0.073)
"} {"image_path": "images/05572d558cc2e3db78250ecf14b7587b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompositionWave length (nm)nd'(nm)$d'_{av}$(nm)m'm$d_{f}$(nm)$d_{f\\ av}$(nm)$d_{filmetrics}$(nm)
PLT15391(P)2.49436.37425.085.415392.57421.5460.65
450(P)2.35484.124.434382.97
549(P)2.30380.833.564477.39
810(P)2.332.442347.63
406(V)2.42401.185.064.5377.47
490(V)2.31422.944.014.5477.27
654(V)2.313.013.5495.45
98.82 PLT15-1.18 CFO374(P)2.86235.5270.534.134261.5258.5297.72
440(P)2.43311.482.983271.6
582(P)2.282.112255.26
397(V)2.73232.143.723.5254.48
487(V)2.30303.012.552.5264.67
748(V)2.301.661.5243.91
96.42 PLT15-3.58 CFO377(P)2.8246.61233.443.463201.96236.4275.56
463(P)2.5218.462.523277.8
780(P)2.431.451160.49
396(V)2.62235.263.083.5263.49
550(V)2.472.092.5278.34
94.06 PLT15-5.94 CFO368(P)3.1155.7208.023.514237.41198.0237.22
470(P)2.45206.932.132191.83
801(P)2.241.141178.79
410(V)2.51261.452.52.5204.18
563(V2.371.721.5178.16
91.74 PLT15-8.26 CFO380(P)2.88188.04206.113.123197.91190.4229.62
500(P)2.46222.292.022203.25
820(P)2.191.11187.21
413(V)2.75208.012.742.5187.72
557(V)2.371.751.5176.26
88.26 PLT15-11.74 CFO433(P)2.85177.6187.092.462151.92174.1213.31
592(P)2.231.41132.73
480(V)2.55196.591.981.5141.17
780(V)2.161.031.5270.83
"} {"image_path": "images/44c07b656ac5a29f37dcef14a328361e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleSurface content$\\text{(at.%)}^\\text{a}$
OSO corresponding to S if S is $SO_{4}$
~530eV~532eV
Series Ⅰ
Dried42.324.65.823.2
Calcined48.0 19.24.618.4
Series Ⅱ
Dried as it is20.640.22.610.4
Dried after n-hexane24.138.83.313.2
Calcined as it is33.231.33.714.8
Calcined after n-hexane37.626.33.413.6
"} {"image_path": "images/aaa50bcaf5c373ad74748e93d4cdcd3e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TestρCGBDDC
it.$λ_{MAX}$$λ_{min}$it.$λ_{MAX}$$λ_{min}$
A$10^{-4}$5085.841.75e-5143.961.0010
$10^{-2}$2105.841.72e-3143.971.0012
166 5.862.18e-2134.001.0017
$10^2$3705.81e+22.26e-2144.001.0014
$10^4$8775.81e+42.26e-2163.991.0008
B$ρ = 10^{αij}$>1000(no convergence)153.831.0020
"} {"image_path": "images/cb6e8a7ce12a96a20245ffbde7fbe884.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
zhèi文辶#文辶#
ypIypI
zhen
zhēn卜贝#卜贝#
hmUhmU
【贞操】HMRK ${ }^{86}$ 【贞洁】HMIF ${ }^{86}$
zhēn钅十①钅十①
qfHqfH
【针对】QFCF【针灸】QFQY
zhēn亻卜贝#亻卜贝#
whmYwhmY
【侦探】WHRP ${ }^{86}$ 【侦察】WHPW
zhēn王人彡#王人彡#
gwETgwET
【珍珠】GWGR$^{86}$【珍珠】GWGT$^{98}$
【珍贵】GWKH 【珍惜】GWNA
zhēn月人彡#月人彡#
eweTeweT
zhēn氵卜贝#氵卜贝#
ihmYihmY
zhēn十#八#十#八#
fhwUfhwU
【真心】FHNY【真正】FHGH
【真情】FHNG【真实】FHPU
zhēn木卜贝#木卜贝#
shmYshmY
zhēn石#口#石#口#
dhkgdhkg
zhēn礻##山礻##山
pyhmpyhM
zhēn艹三人禾艹三人禾
adwtadwT
"} {"image_path": "images/bb14bed3eec0a3aa825e0599eb7bc90d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PropertyF3F6
BRICK$f_{bc,\\theta}/f_{bc}$0.910.62
$E_{b,\\theta}/E_b$1.151.01
MORTAR$f_{mf,\\theta}/f_{mf}$0.770.39
$f_{mc,\\theta}/f_{mc}$1.290.71
$E_{m,\\theta}/E_m$0.900.48
MASONRY$f_{c,\\theta}/f_c$1.04 0.87
$E_{\\theta}/E$ 1.100.93
$\\varepsilon_{c1,\\theta}/\\varepsilon_{c1}$0.880.90
$\\varepsilon_{c2,\\theta}/\\varepsilon_{c2}$1.512.58
$f_{\\nu0,\\theta}/f_{\\nu0}$ 1.120.74
$G_{\\theta}/G$ 0.350.18
$\\gamma_{1,\\theta}/\\gamma_{1}$ 1.6814.27
"} {"image_path": "images/d871a12fa7cb1af9eaecb9610e594833.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\psi $
F01710.04.72.0 0.700.350.10-0.10
$\\psi $10°20°30°
F-0.20 -0.27 -0.65-0.90
$\\psi $10°20° 30°40°50° 60°70°80°90°
F0-0.27-0.65 -0.90 -1.05-1.12 -1.07-0.95-0.75-0.50
$\\psi $100°110°120°130°140°150°160°170°180°
F-0.240.010.22 0.360.420.400.310.170
"} {"image_path": "images/1712ba58ea25652ac84674b678d5203f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Experiments seriesSoil surface conditions descriptionSlopeInflow rate $(L\\cdot min^{-1})$Simulated rainfall intensity (mm$\\cdot h^{-1}$)No.
Steepness $\\left({ }^{\\circ}\\right)$Length (m)
Flume experiments inlaboratorvBare smooth artificial loess slope103.5100A1
1060A2
10120A3
200A4
2060A5
20120A6
300A7
3060A8
30120A9
400A10
4060A11
40120A12
Field experiments in plotsRough natural fallowed slope11.22036.90B1
Rough natural fallowedslope +5.1%SCA36.90B2
Rough natural fallowed slope +5.1%SCB36.90B3
Rough natural fallowed slope +20.8%SCA36.90B4
"} {"image_path": "images/a69f0e5efb09009cfc3466371f1638b9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
縣市田徑場座數占全國大專校院學校百分比(N=149)
無照明設備 設有照明設備總計
座數百分比座數百分比
新北市00.00%18100.00%1812.08%
臺北市14.35%2295.65%2315.44%
臺中市00.00%16100.00%1610.74%
臺南市17.69%1292.31%138.72%
高雄市213.33%1386.67%1510.07%
宜蘭縣266.67%133.33%32.01%
桃園市18.33%1191.67%128.05%
新竹縣00.00%2100.00%21.34%
苗栗縣00.00%3100.00%32.01%
彰化縣00.00%3100.00%32.01%
南投縣00.00%2100.00%21.34%
雲林縣00.00%3100.00%32.01%
嘉義縣125.00%375.00%42.68%
屏東縣00.00%4100.00%42.68%
臺東縣150.00%150.00%21.34%
花蓮縣00.00%4100.00%42.68%
澎湖縣00.00%1100.00%10.67%
基隆市00.00%2100.00%21.34%
新竹市120.00%480.00%53.36%
嘉義市150.00%150.00%21.34%
金門縣00.00%00.00%00.00%
連江縣00.00%00.00%00.00%
總計118.03%12691.97%13791.95%
"} {"image_path": "images/038f3654e8bac2cfbad9a2ae852cc80b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CONNECTIONTYPERANDOMJITTER(ps)PERIODICJITTER(ps) TOTALJITTER(ps)620
Clock generator (240 MHz)0.9671.0711.071
ONU uncleaned clock (40 MHz)6.4817.2987.255
Si5344 jitter cleaned clock (120 MHz) with loop BW 200 Hz1.3271.4471.475
Si5344 jitter cleaned clock (240 MHz) with loopBW 200 Hz1.2651.4072.014
VLDB clock out with GBT (40 MHz)7.4098.6978.697
VLDB clock out with GBT (80 MHz)3.5013.8845.529625
VLDB clock out with TTC-PON and GBT bridge (40 MHz)having SI5344 loop BW 200 Hz7.5078.7998.786
VLDB clock out with TTC-PON and GBT bridge (80 MHz)having SI5344 loop BW 200 Hz3.6154.0485.593
VLDB clock out with TTC-PON and GBT bridge (40 MHz)having SI5344 loop BW 400 Hz7.4398.7388.#
VLDB clock out with TTC-PON and GBT bridge (40 MHz)having SI5344 LOOP BW 4 kHz7.7279.0189.008
630
"} {"image_path": "images/1ad28df288f43683066a9c31f79eb447.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sche53509.0417.7106.9
Schw61.5608.4110.5126.6
He44315.0198.5126.5
Lu57.8373.4219.9141.4
Str.64.3571.9495.989.1
57.5761.8246.2108.0
Po61.3441.5199.6109.5
Scho52.8601.5378.0169.0
$\\bar{\\mathbf{x}}$57.851.94.1293.3122.1
$\\mathbf{S}_{\\bar{\\mathbf{x}}}$7.63.1145.824.8
Var . Coeff .13.175.649.720.3
"} {"image_path": "images/6f16949f26f120774c61b368887dbc46.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample$T_{\\max}(^\\circ C)$$\\mathrm{H}_{2}$ uptake $\\left(\\mathrm{cm}^{3} ~\\mathrm{STP} / \\mathrm{g}\\right)$% $Reduction^a$$\\mathrm{AOS}^\\mathrm{b}$$VO_{x}$ surface species
$T_1$$T_2$
$5 \\% \\mathrm{~V} / \\gamma-\\mathrm{Al}_{2} \\mathrm{O}_{3}$451.8-16.4281.283.37$\\mathrm{V}_{2} \\mathrm{O}_{3,37}$
$7\\% ~V/\\gamma-Al_{2} O_{3}$ 445.7- 22.7483.063.34$V_2O_{3.34}$
$10\\% ~V/\\gamma-Al_{2} O_{3}$432.657537.0399.183.02$\\mathrm{V}_{2} \\mathrm{O}_{3.02}$
Average oxidation state of V$\\underset{+5}{\\mathrm{~V}_{2} \\mathrm{O}_{5}}\\longrightarrow \\underset{+4.33}{\\mathrm{~V}_{6} \\mathrm{O}_{13}}\\longrightarrow \\underset{+4}{\\mathrm{VO}_{2}} \\longrightarrow \\underset{+3.5}{\\mathrm{~V}_{4} \\mathrm{O}_{7}}\\longrightarrow \\underset{+3}{\\mathrm{~V}_{2} \\mathrm{O}_{3}}$
"} {"image_path": "images/b140621aadd557acecdd44f99117ac1b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
P$\\sigma=0.01$$\\sigma=0.05$
$e_{\\mathrm{mean}}$$e_{\\mathrm{std}}$$e_{\\mathrm{2}}$$e_{\\mathrm{mean}}$$e_{\\mathrm{std}}$$e_{\\mathrm{2}}$
30.376E-010.209E-000.497E-000.432E-010.238E-000.577E-00
40.460E-010.238E-000.487E-000.539E-010.273E-000.570E-00
50.148E-010.876E-010.355E-000.171E-010.100E-000.412E-00
60.216E-010.145E-000.363E-000.253E-010.167E-000.426E-00
70.537E-020.492E-010.264E-000.619E-020.562E-010.308E-00
60.975E-020.894E-010.271E-000.114E-010.103E-000.318E-00
"} {"image_path": "images/fa42f419fea833d121152d054faea48f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dependent variablesIndependent variablesCoefficient $(\\beta)$95% Cl lower95% CI upperAdjusted $R^{2}$FP
Running speed and agility0.0824.950.031
Constant0.98-0.452.42
Curl-up score (times/min)-0.11-0.21-0.01
Balance0.0704.300.044
Constant-4.51-8.69-0.33
Knee extensor(Nm/kg)2.700.075.33
Bilateral coordination0.0784.730.035
Constant-1.00-3.561.56
Knee extensor (Nm/kg)1.730.133.34
Gross motor composite0.19311.560.001
Constant-9.74-17.28-2.19
Knee extensor (Nm/kg)7.993.2512.73
"} {"image_path": "images/36662a110c98e5507890c6f18d875116.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别选 项2004年2014年类别选 项2004 年2014 年
性别52.0449.68婚姻状况未 婚49.8144.65
47.9650.32已 婚50.1955.35
年龄18岁以下1.491.62文化程度初中及以下1.861.30
18~25 岁33.8323.38高中(中专、职校)17.4715.31
26~35 岁34.2039.61本科及大专72.8669.06
36~45 岁17.8416.56硕士及以上7.8114.52
46~60 岁10.7816.56职业企、事业单位职工16.7369.70
60岁以上1.862.27企、事业单位管理人员38.2911.00
月收入1 000 元以下11.524.29
1 000~3 000元30.486.27公务员3.353.88
3 000~5 000元29.7431.35私营企业主、个体经营户1.494.85
5 000~8000元15.9933.66
8 000~1 0000元10.23学生14.504.53
10 000~15 000元12.279.90自由职业者3.353.24
15 000~20 000元2.31离退休人员-2.91
20 000元以上1.98其他从业人员22.307.12
"} {"image_path": "images/95a86f317f948e5d41d95b7686e3717b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dissociation productslonKER (eV)
$E_{prob}$$E_{Total}$$E_{Coul}$
$C^{+}+O^{+}$$C^+$3.18.510.5
$O^+$5.4
$\\mathrm{C}^{2+}+\\mathrm{O}^{+}$$C^{2+}$9.824.121.0
$O^+$14.3
$\\mathrm{C}^{+}+\\mathrm{O}^{2+}$$C^+$11.731.421.0
$O^{2+}$19.7
$\\mathrm{C}^{+}+\\mathrm{O}^{3+}$$C^+$19.543.131.5
$O^{3+}$ 23.6
$\\mathrm{C}^{2+}+\\mathrm{O}^{2+}$$C^{2+}$19.642.942.0
$O^{2+}$23.3
$\\mathrm{C}^{3+}+\\mathrm{O}^{2+}$$C^{3+}$26.461.863.0
$O^{2+}$35.4
$\\mathrm{CH}_{3}^{+}+\\mathrm{OH}^{+}$$CH_3^+$1.23.2
$OH^+$2.0
$\\mathsf{CH}_2^++\\mathsf{OH}^+$$CH_2^+$1.73.0
${OH}^+$1.3
"} {"image_path": "images/a10023bc448bbcfe1b13621098081b3c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Source Sum ofSquaresdf MeanSquareF Value$~p\\ \\text{Value} \\\\ \\text{Prob} > \\text{F}$
model1.70140.1219.12<0.0001significant
E0.07610.07611.940.0039significant
F0.02110.0213.320.0901significant
H0.01010.0101.640.2217
EF0.06710.06710.480.0060significant
EH0.35010.35054.51<0.0001significant
FH0.28010.28043.41<0.0001significant
$F^{2}$0.00610.0060.910.3564
$H^{2}$0.10010.10015.770.0014significant
$E^{2}F$0.08410.08413.150.0028significant
$E^{2}H$0.17010.17027.130.0001significant
$EF^{2}$0.13010.13020.880.0004significant
$EG^{2}$0.32010.32050.24<0.0001significant
$F^{2}H$0.1201 0.12018.980.0007significant
$FG^{2}$0.0181 0.0182.780.1176
Residual0.08914 0.006
Lack of Fit0.08910 0.009
Pure Error0.0004 0.000
Cor Total1.7928
R-Squared0.9503
AdjR-Squared0.9006
AdeqPrecison18.981
"} {"image_path": "images/aad59ad1b682c514113b7fb17710af3c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
YearGovernment finalconsumption (lessdefence) as % of GDP(1)Social securityspending as % of GDP(2)(1) + (2) as% of GDP
Austria1960
196512.1710.6622.83
197013.6111.5325.14
197516.1312.3028.43
198016.8219.0335.85
198517.6720.3838.05
199016.8019.8736.66
199418.1022.0340.12
Belgium19609.4311.3520.78
196510.1512.4122.56
197011.1814.0825.25
197514.0715.9830.05
198015.0721.7936.86
198514.3525.2639.60
199011.7622.9034.66
1995
Denmark1970
1975
198024.1116.6340.74
198523.1416.3239.46
199023.2018.3641.56
199523.4221.5544.96
Finland196011.175.8116.98
196512.907.0219.92
197014.377.4021.77
197517.068.7825.85
198016.708.7325.44
198518.8210.8129.63
199021.1515.4436.59
199520.2823.6943.96
France197010.4417.0427.48
197511.4215.9527.36
198015.1314.4929.62
198516.1722.0738.24
199014.9621.3136.27
199516.4123.2239.63
Germany196010.3412.0622.40
196511.3312.3123.64
197013.0012.2025.20
197517.7116.2834.00
198017.5016.6134.11
198517.2416.1433.38
199016.2015.2231.42
199416.0216.1932.21
"} {"image_path": "images/f4dc67b42dd680339042bd905f2e2abc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ligand$K_b,M^{-1}$$-\\Delta G^{\\circ}, -\\Delta H^{\\circ},$$kcal\\ mol^{-1}$$\\Delta S^{\\circ}$$cal\\ K^{-1}$$mol^{-1}$
$NADP^+$$2.63 × 10^5$7.40.622.7
NADPH$3.22 × 10^6$8.93.418.4
Folate$1.49 × 10^7$9.811.3-4.7
Dihydrofolate$7.14 × 10^7$10.711.3-2.0
Methotrexate$3.57 × 10^8$11.713.3-5.4
"} {"image_path": "images/67dbb8c474e5da5568d683f10f9c763e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RColorStability ReactionsRef.
Meyellow-brown$$t_{1/2}$ = 20-96 hours at 72° intoluene$$+ \\ (\\text{CH}_3)_2\\text{CO} →NR$9b,26
$\\underline{n}$-buty1dark red-brown$+ \\ \\text{CH}_3\\text{OH } → (Cp_3)_3\\text{UOCH}_3 $9b,26
ally1dark brown9b
neopenty1dark red-brown9b
$\\mathrm{C}_{6}{ F}_{5}$dark brown9b
$\\underline{i}-\\mathrm{C}_{3} \\mathrm{H}_{7}$dark red-brown9b
$\\mathrm{C}_{6} \\mathrm{H}_{5}$ green$ +H_{2} O \\rightarrow C_{6} H_{6}+C_{3} U^{+} $9a,9c
$\\underline{p}-Me\\mathrm{C}_{6} \\mathrm{H}_{4}$yellow-green9c,9d
$\\mathrm{C} \\equiv \\mathrm{CC}_{6} \\mathrm{H}_{5}$yellow-green 183-185°9c
$\\mathrm{C} \\equiv C-H$yellow-greenmelts with partial decomp.27
$\\mathrm{CH}_{2}-\\mathrm{\\underline{p}}-\\mathrm{MeC}_{6} \\mathrm{H}_{4}$26
$\\mathrm{CH}_{2} \\mathrm{C}_{6} \\mathrm{H}_{5}$26
Ferroceny1brown180° (sublime)31
$\\mathrm{Cp}_{3} \\mathrm{UFCUCp}_{3}$green190° decomp.31
"} {"image_path": "images/65d5872fbe9d9b96d3312b458620ce11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ComponentCost (M€/MW)Cost for 1 GWComments
AC/DC VSC converter0.11110 M€
hybrid DC CB (unidirectional)0.0330 M€1 valve out of 6 in a VSC
mechanical DC CB0.00030.3 M€
DC/DC converter0.18180 M€2 VSC converters
DC-hub (IGBT-based converter)0.09/port90 M€/port
offshore platform forVSC(wind farm)0.15150 M€
hybrid DC CB0.020320.3 M€a = 0.03/0.11 = 0.27, b = 0.5(no transformer)
DC/DC0.1968196.8 M€a = 0.18/0.11 = 1.64, b = 0.8 (two inductors)
DC-hub0.0984/port98.4 M€/porta = 0.09/0.11 = 0.82, b = 0.8 (per port)
DC cable (pair)0.0014/km140 M€(for 100 km)
"} {"image_path": "images/6d25ee574a54b0e7410a9da179d7e7f6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EXPERI-MENTCHILDPROTEININ DIETMUSOLE FLUIDEXTRAMUSCLE FLUID RATIOMUSCLE/EXTRA-MUSOLEFLUID
AmountIncreasewithdietaryproteinAmountIncreasewithdietaryprotein
$I$ BDgm.cc.%cc.%
3 2.290.81$2.83 / 1$
4 2.73 19.20.9314.8$2.93 / 1$
3 1.310.72$1.82/1$
42.73108.40.8011.1$3.41/1$
$\\Pi$VCJ32.721.20$2.27 / 1$
43.1616.21.5327.5$2.07 / 1$
32.721.14$2.39 / 1$
42.896.31.2812.3$2.26 / 1$
32.470.75$3.29 / 1$
42.28-7.71.1553.3$1.98 / 1$
"} {"image_path": "images/97e17997ab068eb84b63f38e228e57d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ABCDE
1Microsoft Excel
2
31MM
43MicMic
55MicroMicro
67MicrosoMicroso
79MicrosoftMicrosoft
811Microsoft EMicrosoft E
913Microsoft ExcMicrosoft Exc
1015Microsoft ExcelMicrosoft Excel
1113Microsoft ExcMicrosoft Exc
1211Microsoft EMicrosoft E
139MicrosoftMicrosoft
147MicrosoMicroso
155MicroMicro
163Mic Mic
171MM
"} {"image_path": "images/c09a659d79a878238142b48fbc16efa7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工 况$K_A$
空、轻载启动*重载启动* *
每天工作小时数(h)
<1010~16>16<1010~16>16
载荷变动最小 液体搅拌机、通风机和鼓风机(≤7.5kW)、离心式水泵和压缩机、轻负荷输送机1.01.11.21.11.21.3
载荷变动小 带式输送机(不均匀负荷)、通风机(>7.5kW)、旋转式水泵和压缩机(非离心式)、发电机、金属切削机床、印刷机、旋转筛、锯木机和木工机械1.11.21.31.21.31.4
载荷变动较大 制砖机、斗式提升机、往复式水泵和压缩机、起重机、磨粉机、冲剪机床、橡胶机械、振动筛、纺织机械、重载输送机1.21.31.41.41.51.6
载荷变动很大 破碎机(旋转式、颚式等)、磨碎机(球磨、棒磨、管磨)1.31.41.51.51.61.8
"} {"image_path": "images/1a158f2839254d0679cc0f62bfdd0e04.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nomenclature
$c_p$specific heat, kJ/kg K
$e_{i}$propagation speed in the direction i in the lattice,$\\left|\\vec{e}_{i}\\right|, \\mathrm{m} / \\mathrm{s}$
$\\vec{e}~_{i}$ propagation velocity in the direction i in the lattice, m/s
$f_{i}$particle distribution function in the i-direction, K
$f_{i}^{(0)}$equilibrium particle distribution function in the i-direction, K
Lreference length, m
mnumber of lattice directions
qheat flux, $\\mathrm{W} / \\mathrm{m}^{2}$
rx, y, z rectangular coordinates, m
Ttemperature, K
ttime, s
W$_i$weight factor corresponding to the direction i in alattice
X, Y, Zlength of the geometry in x-,y-,z-directions,respec-tively, m
x, y, zcoordinate axis directions
Greek symbols
$\\alpha$Thermal diffusivity, m$^2$/s
$\\zeta$ non-dimensional time, $\\frac{\\alpha t}{L^2} $
$\\tau$relaxation time,s
$\\Omega$ rate of change of f$_i$ due to collision, K/s
Subscripts
E, W, N, S, F, B east, west, north, south, front and back
inentering the control volume
nindex for the lattice node
outleaving the control volume
Refreference
Superscripts
jtime level
*non-dimensional quantity
"} {"image_path": "images/333bc95f63c20261202052ac6243987f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Z^{k}\\xi_{k}$
kSecond $order^a$Third $order^b$Fourth $order^a$$Nonadiab.^c$$Retard.^d$Total
Adiabatic Perturbations
4$\\frac{9}{2}$$+\\frac{9}{2}$
5$(-99\\alpha Z /4\\pi)$0
615$-\\frac{129}{4}$$(\\frac{129}{4})$$-\\frac{69}{4}$
7$-\\frac{213}{2}$$-\\frac{213}{2}$
8$\\frac{525}{4}$$\\frac{3555}{32}$$-\\frac{1605}{8}$$+\\frac{1335}{32}$
9-1773-1773
10$\\frac{2835e}{4}$$\\frac{80379e}{8}$$-\\frac{22855f}{8}$$+\\frac{31597}{4}$
"} {"image_path": "images/a74cb7fa8385b0ecadc325960331f816.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BiosorbentSystemMetalContinuous modelR${^2}$ $S_{R}^{2}\\left(mmol~g^{-1}\\right)^{2}$
$pK'_{\\text{M}}$$n_{\\text{M}}$
Gelidium$\\mathrm{Pb}^{2+}/\\mathrm{Cu}^{2+}$${Pb}^{2+}$$3.8 \\pm 0.1$$0.64 \\pm 0.03$0.940$7.5 \\times 10^{-4}$
${Cu}^{2+}$$3.1 \\pm 0.1$$0.79 \\pm 0.03$
$\\mathrm{Pb}^{2+}/\\mathrm{Cd}^{2+}$${Pb}^{2+}$$3.8 \\pm 0.1$$0.64 \\pm 0.03$0.924$4.5 \\times 10^{-4}$
${Cd}^{2+}$$3.1 \\pm 0.1$$0.50 \\pm 0.03$
$\\mathrm{Pb}^{2+} / \\mathrm{Zn}^{2+}$${Pb}^{2+}$$3.8 \\pm 0.1$$0.64 \\pm 0.03$0.919$5.4 \\times 10^{-4}$
${Zn}^{2+}$$2.9 \\pm 0.1$$0.46 \\pm 0.05$
Algal waste$\\mathrm{Pb}^{2+}/\\mathrm{Cu}^{2+}$${Pb}^{2+}$$3.9 \\pm 0.1$$0.72 \\pm 0.04$0.919$4.1 \\times 10^{-4}$
${Cu}^{2+}$$3.5 \\pm 0.1$$0.73 \\pm 0.04$
$\\mathrm{Pb}^{2+}/\\mathrm{Cd}^{2+}$${Pb}^{2+}$$4.1 \\pm 0.1$$0.67 \\pm 0.04$0.896$3.3 \\times 10^{-4}$
${Cd}^{2+}$$3.2 \\pm 0.1$$0.59 \\pm 0.04$
$\\mathrm{Pb}^{2+} / \\mathrm{Zn}^{2+}$${Pb}^{2+}$$4.2 \\pm 0.1$$0.65\\pm 0.05$0.886$4.0 \\times 10^{-4}$
${Zn}^{2+}$$2.9 \\pm 0.1$$0.63 \\pm 0.08$
Compositematerial$\\mathrm{Pb}^{2+}/\\mathrm{Cu}^{2+}$${Pb}^{2+}$$4.0 \\pm 0.1$$0.79 \\pm 0.08$ 0.869$3.3 \\times 10^{-4}$
${Cu}^{2+}$$3.3 \\pm 0.1$$1.0 \\pm 0.09$
$\\mathrm{Pb}^{2+}/\\mathrm{Cd}^{2+}$${Pb}^{2+}$$4.3 \\pm 0.1$$0.69 \\pm 0.04$ 0.920$6.5 \\times 10^{-5}$
${Cd}^{2+}$$3.0 \\pm 0.1$$0.63 \\pm 0.04$
$\\mathrm{Pb}^{2+} / \\mathrm{Zn}^{2+}$${Pb}^{2+}$$4.1 \\pm 0.1$$0.73 \\pm 0.04$0.938$4.3 \\times 10^{-5}$
${Zn}^{2+}$$3.0 \\pm 0.1$$0.65 \\pm 0.05$
"} {"image_path": "images/3bed4dfff7d0f340cde466ee2ebe0a03.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(a) Radial FWHMs (mm)
Axial position0 cm
Radial distance0 cm6 cm12 cm18 cm24 cm
TOF-acc2.532.532.593.003.58
TOF-Siddon/R+2.572.702.713.273.68
TOF-Bresenham/R+2.442.672.763.333.78
"} {"image_path": "images/3f2eb22744ba8abca32fee9da06f4094.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Column$M_{c}$(kN·m)$M_{y}$(kN·m)$V_{c}$(kN)$V_{u}$(kN)$\\alpha_{y}$$\\alpha_{1}$
1F$C_{X1}$80.0169.9174.7300.30.2000.117
$C_{X2-X5}$100.0221.2183.4321.00.2120.129
$C_{X6}$100.0192.9183.4313.60.2000.108
$C_{X7-X9}$99.7221.2183.4321.00.2120.129
$C_{X10}$99.7221.2228.9368.20.1810.108
$C_{X11}$80.1169.9218.0347.60.1700.097
2F$C_{X1}$63.4123.1144.1257.50.1930.104
$C_{X2-X9}$76.6158.3149.9271.30.2030.116
$C_{X10}$76.6158.3187.1309.80.1710.097
$C_{X11}$63.4123.1179.8296.00.1620.086
3F$C_{X1,X11}$56.9104.4141.2250.60.1890.096
$C_{X2-X10}$63.4123.1144.1257.50.1930.104
"} {"image_path": "images/ad0cd599adfbf9c0e17211bdb06bddb7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
课程类别课程编号课程名称学时学分开课学期授课方式考核 方式开课院系备注
学位课程18学分公共课程00 M0001第一外国语First Foreign Language964秋、春讲课考试/考查外语院必修
66 M0001中国特色社会主义理论与实践研究Socialism with Chinese Character-istics:Theory and Practice362讲课考试/考查马院
学科基础课程16 M0101法理学Legal Philosophy322讲课/研讨考试/考查法学院必修
16 M0102行政法学Administrative Law322讲课/研讨考试/考查法学院
16 M0103民法学Civil Law322讲课/研讨考试/考查法学院
专业基础课程16 M0104环境法专题研究Special Topic on the Environmental Law322讲课/研讨考试/考查法学院必修
16 M0105商法专题研究Special Topic on the Commercial Law322讲课/研讨考试/考查法学院
专业课程16 M0106自然资源法专题Special Topic on the Natural Resources Law322讲课/研讨考试/考查法学院 选修4学分
16 M0107宪法专题Special Topic on the Constitutional Law322讲课/研讨考试/考查法学院
16 M0108诉讼法专题Special Topic on the Procedural Law322讲课/研讨考试/考查法学院
16 M0109经济法专题Special Topic on the Economic law322讲课/研讨考试/考查法学院
16 M0110国际法专题Special Topic on the International law322讲课/研讨考试/考查法学院
非学位课程10学分66 M0003马克思主义与社会科学方法论Marxism and Methodology of SocialScience181讲课考试/考查马院必修
16 M0111水法专题Special Topic on the Water Law161讲课/研讨考试/考查法学院 选修6学分
16 M0112国际环境法专题Special Topic on the InternationalEnvironmental Law161讲课/研讨考试/考查法学院
16 M0113公司法专题Special Topic on the Company Law161讲课/研讨考试/考查法学院
16 M0114合同法专题Special Topic on the Contract Law161讲课/研讨考试/考查法学院
16 M0115知识产权法专题Special Topic on the Economic Ad-ministrative Law161讲课/研讨考试/考查法学院
16 M0116国际河流与海洋法专题Special Topic on the InternationalRiver and Sea Law161讲课/研讨考试/考查法学院
16 M0117证券法专题Special Topic on the Securities Law161讲课考试/考查法学院
99 M0000综合素质课Comprehensive Quality161讲课/研讨考试/考查研究生院必修
跨一级学科选修硕士课程(公共课除外)322讲课/研讨考试/考查必修
教学环节99 M0101学术活动(含博导讲座)必修
99 M0102实践活动
99 M0103文献阅读与综述
"} {"image_path": "images/954f5925586d8b922e4ff5b763baa935.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$E\\gamma^{\\ddagger}$E(level)$I\\gamma^{\\ddagger}\\&$$Mult.^{\\dagger}$$\\alpha$$I(\\gamma+ce)^\\&$
(11.978 CA)145.76732 CA
42.540 842.534@E2 (+M1)
48.230 17193.985[E2+M1]13 CA
60.185 10193.985$0.0755^@$E2148.1
127.301 5815.1550.0099 20
133.799 1133.79910.38 8E23.72
"} {"image_path": "images/d6880b1a2f6ad3f9e17635466a956af5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompositionC/B$f_{p(c)}$2S/B$f_{p(s)}$
19 vol %0.30.60.7-0.6
35 vol %0.30.80.7-0.8
18 vol% GF+min fill0.250.20.75-0.2
$S_s$$S_1$$S_s$$S_I$
23 vol% GF0.40.850.240.360-0.85
"} {"image_path": "images/9bbbcd0b1d4f31accdf5bd1e377514df.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variable EnteredCourse Grade (N = 204)
BSE Bβ
Step 1
Instructor-10.020.01.24*
Instructor-20.190.15.12
Instructor-30.220.25.09
Instructor-40.070.11.11
Conscientiousness0.180.11.15
Openness of experience$\\Delta R^2$0.030.01.21*.12*
Step 2
Wonderlic0.000.01.09
$\\Delta R^2$.02
Step 3
Complexity1.470.21.45****
Centrality.26**
$\\Delta R^2$.18****
$Adjusted~R^2$.27****
"} {"image_path": "images/43aa2a705c80f5ada1dd463757840d74.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PowderParticle size (nm)355 nm excitation266 nm excitation
Life time $(ns)^a$$\\beta$Life time $(~)^a$$\\beta$
PT10163.8~0.030.63~0.030.7
$105^b$0.040.63~0.030.7
$148^c$0.080.630.060.6
NS512200.430.640.110.4
NS9O30001.60.70.130.5
"} {"image_path": "images/083b35b6e167700fe620ef4e5c34daaa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$C_A m/l$$\\varepsilon$$\\varepsilon_{\\infty}$$d g/cm^{3}$$\\Omega_\\mathrm{B} \\mathrm{D}^2$
$System:anisole+2-butoxy ethanol+benzene C_B=1.9401 m/1$
0.83863.08102.21650.89263.3293
0.93783.13482.20700.89293.5733
1.02423.18862.20110.89313.7984
1.12633.26932.19690.89364.1100
1.21293.32312.1934 0.89404.3206
1.29583.35002.1892 0.89424.4391
$System:anisole+decyl alcohol+benzeneC_B=1.9314 m/l$
0.79402.86582.20520.88012.6032
0.92412.89272.19630.87762.7491
1.01832.91962.18920.87552.8862
1.08342.94652.18090.87533.0297
1.17382.94652.16800.87413.0962
1.27713.00032.16210.87283.3291
$System:anisole+benzyl alcohol+benzeneC_B=1.9390 m/l$
3.02723.02722.25540.90512.9403
3.10793.10792.25660.90833.2248
3.13483.13482.25840.90883.3118
3.16173.16172.25960.90933.4014
3.21553.21552.26020.91023.5887
1.34173.26932.26080.91253.7747
$System:anisole+o-cresol+benzene C_B=1.9554 m/l$
0.82762.89270.90630.90632.4308
0.90052.94650.90670.90672.6185
0.98202.94650.90790.90792.6069
1.07882.97340.90810.90812.6928
1.16223.00032.26320.90972.7810
1.28333.02722.26740.91122.8571
$System:anisole+o-chlorophenol+benzeneC_B=.9170 m/l$
0.81302.83890.92160.92162.2487
0.88852.86580.92410.92412.3382
0.98172.91960.92670.92672.5272
1.07482.94650.92900.92902.6210
1.19642.97342.26920.93642.7084
1.26642.97340.93670.93672.7055
"} {"image_path": "images/9030828b6a9e62c6f62f273fb8035533.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variablesmodel 1model 2model 3model 4
ORLCLUCLORLCLUCLORLCLUCL
Intercept-1.52(0.18)-2.612(0.20)-2.93(0.21)-3.525(0.19)
Age(years)
15-25refrefref
25-354.293.675.014.1473.54.862.812.353.35
35-455.834.976.835.87256.94.053.354.90
45-555.054.275.985.1364.36.13.853.134.74
55-653.743.104.503.8473.24.653.112.473.92
>652.441.973.022.5712.13.22.321.773.04
Sex
Male0.700.640.770.6810.60.750.620.550.69
Female
Education
No education,preschoolrefref
Primary1.451.251.68
Secondary1.551.331.79
Higher1.561.301.88
Marital status
Formerly/ever married0.820.671.00
Never married0.340.270.42
Currently marriedref
Residency
Urban1.661.911.91
Ruralref
Wealth quintile
Poorestrefref
22.4782.12.982.371.972.86
31.6141.31.941.611.341.94
43.9043.24.743.673.024.46
Richest6.2635.27.66.084.977.45
Error variance
Level 2 intercept*0.24(0.15)0.23(0.14)0.16(0.10)0.14(0.084)
Level 3 intercept*0.26(0.06)0.38(0.069)0.19(0.04)0.10(0.029)
ICC-level 26.806.504.604.10
ICC-level 37.3010.405.502.90
PCV-level 24.4%32.4%39.7%
PCV-level 342.5%24.7%60.3%
AIC12306.211491.711060.610868.3
SBIC12306.011473.711034.610830.3
"} {"image_path": "images/c5dd511cfd5a4bcc31a8d0126bf60493.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
kflopsstoragesubspace anglesHankelnormreltive$\\mathcal{H}_{\\infty}$ error
leftright
1$8.6 \\times 10^{4}$$10^{3}$$5.6 \\times 10^{-4}$$5.5 \\times 10^{-4}$10.6$1.1 \\times 10^{-2}$
2$3.4 \\times 10^{5}$$10^{3}$$4.3 \\times 10^{-4}$$5.8 \\times 10^{-4}$11.4$6.2 \\times 10^{-3}$
3$7.8 \\times 10^{5}$$10^{3}$$6.6 \\times 10^{-4}$$6.8 \\times 10^{-4}$11.4$5.9 \\times 10^{-3}$
balanced truncation11.6$7.5 \\times 10^{-3}$
"} {"image_path": "images/7189e01ca4b56a4870697ab096e55ce4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ k_{\\mathrm{obsd}}, ~\\mathrm{h}^{-1} \\times 10^{3~b} $
(S)-dihydroorotate (1)methyl (S)-dihydroorotate (6)6-methyldihydrouracil (7)
T, °Cpro-Rpro-SR/Spro-Rpro-SR/S2.7 ppm2.5 ppm2.7/2.5
375.400.4811.39.352.993.132.251.122.0
5440.07.755.2cccccc
73338.057.65.9cccccc
951940420.04.6ccc1050664.01.6
"} {"image_path": "images/817424bf2ec35d639abc78da71b94ad9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temperature (K)
298303308313318323
Langmuir
$ K_{L}~\\left(\\mathrm{L} \\mathrm{~g}^{-1}\\right) $16128048894912692401
$\\Delta G~\\left(kJ~mol^{-1}\\right)$ -12.6-14.2-15.9-17.8-18.9-20.9
$\\Delta H^{\\circ}~\\left(\\mathrm{kJ}~\\mathrm{mol}^{-1}\\right)$ 85.6
$\\Delta S^{\\circ}~\\left(\\mathrm{J}~\\mathrm{K}^{-1}\\mathrm{~mol}^{-1}\\right)$ 330
$R^{2}$0.9973
Sips
$K_{S}~\\left(\\left(g L^{-1}\\right)^{-1/ n_{s}}\\right)$17230649694812742407
$\\Delta G~\\left(\\mathrm{~kJ}~\\mathrm{~mol}^{-1}\\right)$ -12.8-14.4-15.9-17.8-18.9-20.9
$\\Delta H^{\\circ}~\\left(\\mathrm{kJ}~\\mathrm{mol}^{-1}\\right)$ 82.9
$\\Delta S^{\\circ}\\left( J K^{-1}~mol^{-1}\\right)$ 321
$R^{2}$0.9974
"} {"image_path": "images/72148b7633a2e87120a15427a51a5cfc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Lignin typeMolecular weight average * (Da)Monosaccharide content $(um·mg^{-1}\\ TS)$
$M_n$ (Da)$M_w$ (Da)$M_z$ **$M_w/M_n $ArabinoseFucose FucoseXyloseGalactose
PK174397117,783232.063.735.744.47
APK47813,85940,853291.945.985.013.68
FAPK474649518,578142.007.932.562.89
"} {"image_path": "images/6c6c5efc62197a7d1417f077b3109491.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编 号99440130994401409944015099440160
机 械 名 称电动多级离心清水泵
规 格 型 号扬程 (m) 100扬程 (m) 150扬程 (m) 200
出口直径 (mm)
120以上180以下180以上280以下
台 班 基 价 (元)476.71543.20530.98598.84
名 称单位单价 (元)数 量
费用组成折旧费1.008.05324.56917.26734.260
大修理费1.003.29010.0297.05513.980
经常修理费1.008.89627.11619.07537.799
安拆费及场外运输1.006.6506.6506.6506.650
人工费1.00293.280293.280293.280293.280
燃料动力费1.00156.540181.560187.656212.868
其他费用1.00----
人工及燃料动力用量人工工日141.001.0001.0001.0001.000
汽油kg8.28----
柴油kg6.92----
kg0.38----
kW·h0.60260.900302.600312.760354.780
$m^3$3.88----
木柴kg0.58----
"} {"image_path": "images/b35a15a29120d387d19677ec0c6b8cd2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
α$\\alpha=1.2~(\\Delta y=\\Delta s=10 h)$$\\alpha=1.5~(\\Delta y=\\Delta s=10 h)$$\\alpha=1.8~(\\Delta y=\\Delta s=10 h)$
Methodh e$_{max}$COMe$_{max}$COMe$_{max}$COM
Improved-P-Cof (2.2)1/101.09 1e-2 -652.87 1e-2- 571.57 1e-2-65
1/202.56 1e-32.092306.29 1e-32.192052.92 1e-31.99230
1/406.17 1e-42.058601.44 1e-32.127777.35 1e-41.99860
1/801.52 1e-42.0233203.42 1e-42.0830341.84 1e-42.003320
1/1603.77 1e-52.0113,0408.24 1e-52.0511,9384.60 1e-52.0013,040
Equal-height1/101.15 1e-4-299.00 1e-5-298.18 1e-5-29
1/204.69 1e-64.61593.51 1e-64.68592.74 1e-64.9059
1/401.93 1e-74.601191.34 1e-74.711199.18 1e-84.90119
1/807.95 1e-94.602395.03 1e-94.732393.07 1e-94.90239
1/1603.28 1e-104.604791.88 1e-104.744791.03 1e-104.90479
Equal-area1/10 1.15 1e-4-299.00 1e-5-298.18 1e-5-29
1/204.69 1e-64.61593.51 1e-64.68592.74 1e-64.9059
1/401.93 1e-74.601191.34 1e-74.711199.18 1e-84.90119
1/807.95 1e-94.602395.03 1e-94.732403.07 1e-94.90239
1/1603.28 1e-104.604791.88 1e-104.744821.03 1e-104.90479
"} {"image_path": "images/dacf87ac360633f49ee46af47ec8ea87.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
变量家庭生活必需品支出家庭建设与发展支出家庭情感维系支出家庭享乐支出
农村风险金融资产持有0.121**0.223*0.136$0.497^{***}$
(2.01)(1.76)(1.61)(5.13)
N8,1908,1447,8477,410
$ R^2 $0.3760.1300.2920.349
城市风险金融资产持有0.051$ 0.190^{**} $$ 0.200^{***} $$0.464^{***}$
(1.64)(2.44)(3.58)(6.89)
N3,1903,2923,1463,218
$ R^2 $0.3790.2200.2620.372
未婚风险金融资产持有0.0540.244-0.018$0.408^{***}$
(0.65)(1.02)(-0.11)(2.75)
N808750707803
$ R^2 $0.4560.1660.2920.500
已婚风险金融资产持有0.114***$ 0.271^{***} $0.226***$0.720^{***}$
(3.60)(3.97)(4.88)(12.98)
N10,58110,69810,2979,837
$ R^2 $0.4120.1640.2940.405
东部风险金融资产持有0.116***$ 0.268^{***} $0.242***$0.665^{***}$
(3.20)(3.29)(4.08)(10.30)
N5,0955,1584,8424,916
$ R^2 $0.4530.1930.2380.452
中部风险金融资产持有0.0220.2130.182**$0.625^{***}$
(0.35)(1.57)(2.02)(5.78)
N3,2963,3233,2303,152
$ R^2 $0.3740.1310.2560.361
西部风险金融资产持有$ \\text{ 0.177**} $0.2370.226*0.997***
(1.99)(1.29)(1.79)(6.64)
N2,9982,9672,9322,572
$ R^2 $0.3220.1470.2500.333
"} {"image_path": "images/8dde5f04aac7258f7b60b12e20cc3463.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VarietiesSpray datesHumicacid fertilizer cm3.L-1AverageC×S
F1F2F3
C1S1422.77424.13424.57423.82
S2419.53421.17421.77420.82
S3416.20419.23421.10418.84
C2S1444.53445.27447.50445.77
S2442.10442.33444.70443.04
S3440.30443.07444.27442.54
L. S. D (0.05)N.SN.S
Fertilizer concentrationsVarietiesF1F2F3AverageC
C1419.50421.51422.48421.16
C2442.31443.56445.49443.79
L. S. D (0.05)N.S3.78
Fertilizer concentrationsSpray datesF1F2F3AverageS
S1433.65434.70436.03434.79
S2430.82431.75433.23431.93
S3428.25431.15432.68430.69
L. S. D (0.05)N.S2.371
"} {"image_path": "images/6380570792f344f79a8902964aa4b810.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Volumepercentageof $\\text{Co}_2\\text{U}$ferriteMatchingThickness(mm)MatchingFrequency(GHz)Min.OperatingFrequency(GHz)Max.OperatingFrequency(GHz)Max.absorptionlevel (dB)
For RL of - 10 dB
42.6313.58.714.2-22.8
3.310.67.112.6-17.0
3.88.75.811.5-26.5
4.27.45.110.3-21.6
47.2311.97.413.3-14.6
3.310.66.513.0-20.9
3.88.45.211.3-44.8
4.27.14.610.2-23.8
50.6311.66.513.5-20.1
3.310.35.513.2-39.4
3.87.14.611.3-42.4
4.26.14.29.8-26.7
54.3311.65.514.0-42.1
3.310.34.713.1-21.0
3.86.54.010.7-32.8
4.25.53.89.1-40.0
"} {"image_path": "images/5906565a61c9d8cf2565623bb9adc950.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
雇用代理人(1)不雇用代理人(2)均值差异的p值(3)
A. 程序
交谈官员的数量3.917.690.00
排队次数2.412.880.13
总花费时间(分钟)178.48306.060.00
参加 RTO 驾驶考试0.120.940.00
B. 支出
总支出1282.59563.130.00
C. 驾驶技能
自动失败0.690.310.01
驾考分数6.6015.440.00
"} {"image_path": "images/1664d1841d8194642a365733e9a2098b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterLoop 1Loop 2
Evaporator
Evaporator diameter(mm)4546
CC diameter(mm)3435
Total thickness(mm)16.516
MaterialBrassPure copper
Porous wick
Diameter(mm)36.737.6
Thickness(mm)3.13.2
Porosity70%70%
MaterialNickelNickel
Porous radius ( $\\mu \\mathrm{m}$ )2.6-532.6-53
Vapor line
Length(mm)18502000
Inner diameter(mm)3.54
MaterialPure copperPure copper
Liquid line
Length(mm)34603650
Inner diameter(mm)3.54
MaterialPure copperPure copper
Condenser \\#1
Length(mm)12401295
MaterialPure copperPure copper
Condenser #2
Length(mm)14801520
MaterialPure copperPure copper
Reservoir
Height(mm)8091
Diameter(mm)2035
MaterialBrassBrass
"} {"image_path": "images/9fcc57a3fd858003c0c865acafe76831.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
#LocationHeight of coastalexposures(m a.s.l.) LithologyCoast Retreat Rate $(m yr^-1)$Sources
Max.Min.Average
1Northwestern Taymyr10-40Clay and sand underlying byparent bedrocks0.40.2Romanenko (1998)
2Gydanskiy Poluostrov20-40Clay with layers of sand0.40.2Author research results
3Tazovskiy Poluostrov10-30Clay with layers of sand0.7Author research results
4 Obskaya Guba, Saleta8-10Sand0.70.33 Medkova (2002)
5Northwestern Poluostrov Yamal8Sand with layers of clay0.8Voskresenskii and Sovershaev (1998)
6 Western Poluostrov Yamal10-25Clay with layers of sand, sand4.50.4Solomatin (1992)
2.0Kamalov et al. (2002)
3.00.51.4Author research results
7 Western Poluostrov Yamal40Sand1.00.5Voskresenskii and Sovershaev (1998)
8Western Poluostrov Yamal, Marresale10-30Clay, loam, sand1.8Troitskii and Kulakov (1976)
2.5Firsov et al. (2002)
1.91.0Kritsuk and Dubrovin (2000)
1.81.01.4Shur et al. (1984)
3.30.51.7Vasiliev et al. (2001)
9Baydaratskaya Guba, southeastern coast 10-25Sand underlying by loam0.90.050.4-0.5Dubikov (1997)
10Baydaratskaya Guba, southeastern coast 6-10 Sand, peat0.70.3Dubikov (1997)
11Baydaratskaya Guba, southwestern coast 5-17Sand with layers of loam andsandy loam3.51.01.7Dubikov (1997)
12Baydaratskaya Guba, southwestern coast 2-3Sand, sandy loam0.60.20.4Dubikov (1997)
13Baydaratskaya Guba, western coast,Novyy Dom30-50Clay, sand2.00.91.2Kizyakov and Perednya (2003)
14Baydaratskaya Guba, western coast,Amderma10-20Clay1.1Kizyakov (2005)
"} {"image_path": "images/908a616af7edc74ffb31f41810cbbd87.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工程名称 掘进面积/m普氏系数节理裂隙地下水掏槽孔参数周边孔参数崩落孔参数
装药量/$\\left(\\mathrm{kg} \\cdot \\mathrm{m}^{-1}\\right)$排距/mm间距/mm 装药量/$\\left(\\mathrm{kg} \\cdot \\mathrm{m}^{-1}\\right)$密集系数/mm间距/mm 装药量/$\\left(\\mathrm{kg} \\cdot \\mathrm{m}^{-1}\\right)$密集系数/mm间距/mm
协庄煤矿-1 100 m 回风巷15.774~6较发育少量滴水0.4512005000.20.904500.351.00550
协庄煤矿-1 100 m 运输石门23.61 4~6较发育少量滴水0.5014005500.151.04500.351.00600
协庄煤矿-1 100 m 东大巷22.336~8不发育少量滴水0.7014006000.150.906000.501.00700
正通煤业西区胶带大巷24.157~9不发育少量滴水0.5017004500.200.803000.501.00500
正通煤业 203辅助运输巷19.517~9不发育少量滴水0.5015006000.100.703000.361.10600
岱河煤矿二水平乘人车场14.159~10不发育少量滴水0.4014004000.300.804000.400.90630
义桥煤矿南翼轨道大巷14.054~6较发育少量滴水0.3013004000.100.804000.251.00600
义桥煤矿采区胶带集中巷14.143~5较发育少量滴水0.3014004000.100.703600.251.00600
南屯矿运输大巷11.804~6发育少量滴水0.3016004000.221.004000.280.80320
潘三煤矿大巷13.837~9不发育少量滴水0.6715004000.300.804000.440.90495
花园煤矿西翼大巷15.294~6不发育少量滴水0.6016004500.241.105000.401.10640
安徽某煤矿巷道13.038~10不发育淋水0.5112004000.240.704000.401.00700
焦家寨矿轨道大巷16.814~6不发育少量滴水0.3613002500.100.704000.250.80500
淮北某煤矿巷道14.156~8不发育少量滴水0.4714004000.240.754000.350.85600
赵家寨煤矿采区轨道巷17.6712~14不发育少量滴水0.5813004000.350.904000.380.90550
"} {"image_path": "images/88adc1819aaaa62343a42e9dd628aa92.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省(自治区、直辖市)60 万 t/a 以下规模或全部退出产能
数量/个规模/(万 t/a)地下空间/万 $m^3$
山西省12768401300
内蒙古自治区15175231505
陕西省15552291098
宁夏回族治区28865164
北京市342071
合计464208774138
省(自治区、直辖市)30 万 t/a 以下规模
数量/个规模/(万 t/a)$地下空间/万\\ \\mathrm{m}^{3}$
河北省1640071
辽宁省2137060
吉林省3456996
黑龙江省5113750638
江苏省1184
山东省26823173
河南省1443039851
甘肃省28517104
"} {"image_path": "images/fa1074cadeec3a6b5a7816f3f05f40ef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Egg weightAlbumenHaugh% protein%solids in
AgeLineNos.gS.D.$ \\begin{array}{l}\\text { height, } \\\\ \\mathrm{mm}\\end{array} $S.D.unitsS.D.albumenS.D.albumenS.D.
26C9747.903.77.360.9289.14.810.500.5913.200.65
N13048.503.87.681.0490.55.810.330.5313.030.58
E11852.144.27.811.0590.15.910.650.5713.370.62
31C10051.804.46.880.9985.06.010.660.4413.320.44
N11851.633.87.251.1187.16.510.480.4013.140.39
E13057.335.47.281.1685.57.110.760.5413.420.53
41C8055.134.06.250.9679.76.410.440.5412.820.56
N11355.764.46.900.9883.86.310.080.5712.450.58
E11161.795.26.951.1882.07.310.500.5812.880.60
54C10759.934.76.450.9779.46.710.270.6612.500.88
N6958.865.26.790.9782.26.59.730.6311.920.58
E5869.915.87.370.9582.66.210.220.6312.450.87
56C13960.604.46.361.1878.38.510.150.8212.320.76
N6759.584.76.331.1278.57.89.790.5411.910.73
E5171.155.76.851.1378.57.510.060.8212.220.72
Average C52355.076.6682.310.4012.83
N49754.876.9984.410.0812.49
E46862.467.2583.710.4412.87
"} {"image_path": "images/3ef207ce9c7938eed9622bf23e1d436a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Calcitonin1.U./ml Total collagenmg/sponge dpm/mg Non-collagen proteinsmg/sponge dpm/mg Deoxyribonucleic acidmg/sponge dpm/mg
016.0316516.274321.7314858
015.7012913.904302.3225837
019.3214419.244791.9525447
0.212.84221630.1938323.02320443
1.015.2616417.273801.7076680
2.514.978616.113071.4019693
"} {"image_path": "images/aa645805bdf6927544c797a1aeaba1b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
01760ANADROL
01765ANAIDS
01770ANALBALM
01775ANALGESIC
01780ANALGESIC BALM
01785ANALGESIC COMPOUND
01790ANALGESIC EMULSION
01795ANALGESIC LINIMENT
01800ANALGESINE
01805ANALGESTINE
01810ANALGETS WAFER
01815ANALONE
01820ANAMINE
01825ANANASE
01830ANAPHEN
01835ANAPHYLATIC SHOCK DRUG KIT
01838ANAPROX
01840ANASPAZ
01845ANASPAZ-PB
01850ANATUSS
01855ANAVAR
01860ANBE SOL
01865ANCEF
01870ANCDBON
01875AND-EST SUSPENSION
01880ANDOIN
01885ANDRIOL
01890ANDRO CYP
01895ANDRO-FEM
01900ANDROID-G
01905ANDROI D-HCG
01910ANDROID-T
01915ANDROID-10
01920ANDROID-25
01925ANDROID-5 BUCCAL
01930ANDROLAN AQUEOUS
01935ANDROLONE
01940ANDROLONE D 100
01945ANDROLONE D 50
01950ANDRONAQ-50
01955ANDRONATE
01960ANDRYL 200
01965ANDURACAINE
01970ANECAL
01975A NECTINE
01980ANESTACON
01983ANESTHETIC
01985ANESTRO
01990ANEXSIA W/COOEINE
01995ANEXSIA
02000ANG-O-SPAN
02005ANGIDIL
02010ANGIO-CONRAY
02015ANHYDRON
02020ANISE OIL
02025ANISOTROPINE
02030ANISOTROPINE W/PHENOBARB
02035ANOCAINE
02040ANOOYNOS FORTE
02045ANOOYNOS-DHC
"} {"image_path": "images/84a6164241c17e6d4c416a50d90de42e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月 別兩 岸 航 線
合 計入 境出 境
飛行架次(次)座位總數(位)載客人數(人)載客率(%)飛行架次(次)座位總數(位)載客人數(人)載客率(%)飛行架次(次)座位總數(位)載客人數(人)載客率(%)
總 計8414,12611,41780.8427,0645,73281.1427,0625,68580.5
1 月------------
2月------------
3月------------
4月------------
5月11706035.311706035.3----
6月81,35682560.8467847269.6467835352.1
7月142,3521,74174.071,17690877.271,17683370.8
8月183,0242,73390.491,5121,30486.291,5121,42994.5
9月162,6882,34087.181,3441,23291.781,3441,10882.4
10月91,5121,26783.8467255081.8584071785.4
11月101,6801,45286.4584072185.8584073187.0
12月81,34499974.3467248572.2467251476.5
"} {"image_path": "images/6ecb966ef1425d33084b527f31662372.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RF portRegional 2DL CATBDTBDTBD
IN_LB1NC
IN_LB2B12, B17
IN_LB3G850, G900, B5, B8, B18,B19, B20, B26, B28
TX_LB1B12, B17
TX_LB2B5, B18, B19, B26
TX_LB3B20, B28A
TX_LB4B28B
TX_LB5B8
TRX_LB1B13
TRX_LB2B20, B28A
TRX_LB3B28B
TRX_LB4B8, B29 Rx
TRX_LB5B5, B18, B19, B26, BC10
TRX_LB6B12, B17
"} {"image_path": "images/782cef4609025e71c3d1f7c4199889af.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterNomenclatureValue or expression
Operating speed$\\dot{R}$6000 rpm
Number of cycles per revolution$N_c$4.96
Plastic strain range per cycle$\\Delta \\gamma_C$$3.5 \\times 10^{-4}~[29]$
Dislocation density$\\rho$$10^{16} \\mathrm{~m}^{-2}$
Diffusivity of carbon in the matrixD$6.2 \\times 10^{-7}~exp(-\\frac{80000}{RT}) ~m^{2}~s^{-1}$
Initial radius of the particle$r_0$10 nm
Initial volume fraction of the precipitate$V_f0$0.017
Lattice parameter of the martensitic matrix$a_{\\alpha^{\\prime}}$0.2876 nm
Lattice parameter of cementite$a_\\theta$0.45156 nm
$b_\\theta$0.50837 nm
$c_\\theta$0.67297 nm
Lattice parameter of $\\epsilon-carbide$$a_\\epsilon$0.4767 nm
$c_\\epsilon$0.4353 nm [30]
C concentration in the alloy$C_0$3.63 at.%
Equilibrium C concentration in the matrix per unit volume $C_{V\\alpha, eq}$ $3.66 \\times 10^{20}~m^{-3}$
Atomic weight of Fe$W_{Fe}$55.85
Atomic weight of C$W_{C}$12.011
Magnitude of Burgers vectorb$\\frac{2}{\\sqrt{3}} a_{\\alpha^{\\prime}}$
C concentration in the alloy per unit volume$C_{V0}$$\\frac{C_0}{a_{x^{\\prime}}^3 / 2}$
C concentration in cementite per unit volume$C_{V \\theta}$$\\frac{4}{a_\\theta b_\\theta c_\\theta}$
C concentration in e-carbide per unit volume$C_{V \\epsilon}$$\\frac{2.5}{\\frac{2 \\sqrt{3}}{4} a_\\epsilon^2 c_\\epsilon}$
C concentration in the initial matrix per unit volume$C_{V\\alpha^{\\prime}0}$ $\\frac{\\frac{1}{2} l_{p} C_{V 0}-r_{0} C_{V \\theta}}{\\frac{1}{2} l_{p}-r_{0}}$
"} {"image_path": "images/d54fbe40be02eeb78648100d27880882.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1.0 V, d = 0.25 cm 1.0 V, d = 2.0 cm
Parameters GC2Parameters GGC1Parameters C1GC1Parameters GGC1
$\\mathbf{R^*}_0~(\\mathbf{M}\\Omega)$1.119$\\mathbf{R^{**}}_0~(\\mathbf{M}\\Omega)$0.642$\\mathbf{R^{\\prime}}_0~(\\mathrm{M} \\Omega)$1.354$\\mathbf{R^{**}}_0~(\\mathbf{M}\\Omega)$1.461
$\\mathbf{R^*}_{\\infty}~(\\mathbf{k} \\boldsymbol{\\Omega})$0.680$\\mathbf{R^{**}}_{\\infty}~(\\mathbf{k} \\boldsymbol{\\Omega})$1.060$\\mathbf{R^{\\prime}}_{\\infty}~(\\mathbf{k} \\Omega)$2.963$\\mathbf{R^{**}}_{\\infty}~(\\mathbf{k} \\boldsymbol{\\Omega})$2.530
${\\alpha^*}_1$0.819${\\alpha}^{**}$0.940${\\alpha^{**}}_1$0.532${\\alpha}^{**}$0.707
${\\tau^*}_1~(s)$0.240$\\tau^*(s)$0.281${\\tau^{**}}_1(s)$1.900$\\tau^*(s)$0.604
$p\\left({\\alpha^*}_1,\\beta_1\\right)$0.422$\\beta^*$-0.043233$p\\left({\\alpha^{**}}_1,\\beta'_1\\right)$1.596$\\beta^*$0.010132
${\\alpha^*}_2$0.805$\\gamma$-0.131216$\\alpha_2$0.961$\\gamma$-0.004308
${\\tau^*}_2~(s)$2.883$\\delta$-0.054793$\\tau_2(s)$2.704$\\delta$-0.007025
$p\\left({\\alpha^*}_2,\\beta_2\\right)$0.655$\\varepsilon$-0.009557$p\\left(\\alpha_2\\right)$0.356$\\varepsilon$-0.002536
$\\beta_1$-0.015$\\zeta$-0.000652${\\beta^{\\prime}}_1$0.024$\\zeta$-0.000206
$\\beta_2$0.074
Mean square errors $\\left(\\cdot 10^{7}\\right)$
3.903.902.760.94
"} {"image_path": "images/d33282a6465257f759f0bed3846dfbf2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Gauge actionVA
$C_1$$C_{23}$(0)(1)(2)(0)(1)(2)
0030.817-8.988-5.17235.638-13.981-3.464
-1/12023.841-7.720-4.19927.904-12.146-2.642
-0.331014.974-5.689-2.77017.881-9.140-1.496
-0.27-0.0415.674-5.865-2.86618.691-9.414-1.562
-0.252-0.1714.163-5.450-2.54616.981-8.815-1.297
Gauge actionSPT
$C_1$$C_{23}$(0)(1)(2)(0)(1)(2)(0)(1)(2)
0038.482-21.471-4.33528.839-11.484-7.75134.417-9.820-3.743
-1/12030.837-18.784-3.29622.710-9.933-6.40826.905-8.458-2.944
-0.331021.215-14.316-1.84015.400-7.414-4.38717.134-6.264-1.806
-0.27-0.0421.954-14.737-1.92715.922-7.639-4.53517.931-6.456-1.875
-0.252-0.1720.322-13.864-1.59714.687-7.133-4.09616.261-6.011-1.613
"} {"image_path": "images/e07a1b32ec24d540929eb5c4e13b78c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IndicatorsDepartment ADepartment BWeights
Costs$I_{1}$Personnel32.5130.330.30
$I_{2}$Expenses24.4826.050.20
Performance$I_{3}$Funding29.4023.780.10
$I_{4}$Teaching offer28.1830.190.10
$I_{5}$PhD students29.2136.080.10
$I_{6}$Scientific output24.7027.010.20
O.D.S. 28.2728.72
"} {"image_path": "images/6d380c9deff77cfc542ca9215b834e04.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LayerMaterial DeviceA DeviceB DeviceC DeviceD
Emitter cap$\\mathrm{In}_{0.2}\\mathrm{Ga}_{0.8}\\mathrm{As}:\\mathrm{Si}(>1\\times10^{19}\\mathrm{~cm}^{-3})$30 nm
Emitter capGaAs:Si $\\left(4.5\\times 10^{18}\\mathrm{~cm}^{-3}\\right)$200 nm
EmitterGaAs:Si $\\left(5 \\times 10^{17} \\mathrm{~cm}^{-3}\\right)$50 nm
i-layer (W)i-GaAs10 nm
Delta-dopedGaAs:Si$\\left(8 \\times 10^{12} \\mathrm{~cm}^{-2}\\right)$
i-layer (W)i-GaAs10 nm
Emitter set-GaAs:Si$\\left(5 \\times 10^{17} \\mathrm{~cm}^{-3}\\right)$10 nm25 nm40 nm50 nm
back
BaseGaAs:Be$\\left(2 \\times 10^{19} \\mathrm{~cm}^{-3}\\right)$100 nm
CollectorGaAs:Si $\\left(5 \\times 10^{16} \\mathrm{~cm}^{-3}\\right)$500 nm
SubcollectorGaAs:Si$\\left(6 \\times 10^{18} \\mathrm{~cm}^{-3}\\right)$500 nm
"} {"image_path": "images/e2cb2b7ec17e0adeb2bc9f6ae1806881.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\frac{p}{MPa}$x$\\frac{V_m^E}{cm^{3}~mol^{-1}}$x$\\frac{V_m^E}{cm^{3}~mol^{-1}}$x$\\frac{V_m^E}{cm^{3}~mol^{-1}}$
$xC_6H_5CH_3+(1-x)C_6H_{11}CH_3$
2000.1000.1310.4000.2500.7010.205
0.2000.2030.5000.2510.8000.167
0.3010.2230.5990.2320.9010.093
2500.1000.1290.4000.234 0.7010.199
0.2000.1990.5000.2450.8000.151
0.3010.2070.5990.2390.9010.081
$xCH_3CHOHCH_3+(1-x)C_7H_{18}$
100.1000.2870.5000.5320.8770.218
0.2010.4240.6010.4780.9000.170
0.2970.4810.6990.400
0.4000.5500.8010.289
500.1000.2030.5000.3650.8770.184
0.2010.3090.6010.3540.9000.131
0.2970.3460.6990.292
0.4000.3940.8010.222
1000.1000.1630.5000.2890.8770.158
0.2010.2420.6010.2760.9000.103
0.2970.2910.6990.230
0.4000.3130.8010.179
1500.1000.1260.4000.2650.6990.195
0.2010.1880.5000.2310.8010.152
0.2970.2430.6010.2270.8770.145
2000.1000.1080.4000.2230.6990.169
0.2010.1570.5000.1930.8010.136
0.2970.2150.6010.194
2500.1000.0990.4000.2010.6990.152
0.2010.1350.5000.1700.8010.118
0.2970.1740.6010.174
"} {"image_path": "images/80019f79d2b7c2e9cc7b68422e62eefb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Initial value of yNSDAP19.0NSDAP29.0NSDAP39.0
$y_{16}$5.145.195.25
$y_{17}$1.601.651.73
$y_{19}$5.175.195.28
$y_{20}$1.591.551.60
$y_{25}$2.762.812.79
$y_{26}$2.762.862.86
$y_{29}$4.674.684.58
$y_{39}$4.434.324.40
$y_{48}$4.754.724.59
$y_{74}$4.414.354.30
Z83.3382.9782.91
#$VI^a$66819
"} {"image_path": "images/89d63abf76e7e4e4fecc9ba66f9ebe47.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Student BehaviorsPrimaryPreparatorySecondary
MaleFemaleMaleFemaleMaleFemale
Used technology for independent inquiry/research1.00$0.00^a$1.000.001.000.001.000.001.000.001.000.00
Used technology to learn basic skills1.100.441.110.401.090.291.000.001.040.201.000.00
Initiated or assumed responsibility for learning activities1.520.681.800.681.130.341.770.711.290.551.760.66
Connected ideas/concepts1.670.661.800.471.700.471.850.681.580.581.650.70
Engaged in problem solving activities1.290.561.510.741.300.561.500.761.580.721.410.71
Engaged in classroom activities2.330.482.600.502.040.562.500.711.870.682.710.47
Displayed positive affect toward teacher***2.520.512.200.761.870.552.380.752.080.412.650.61
Displayed positive engagement with peers***2.140.792.030.821.700.472.350.801.870.542.350.79
Displayed disruptive behavior1.100.301.000.001.130.461.190.491.380.711.000.00
"} {"image_path": "images/65612e73d6d471308e108510b09c19c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Density$(g~cm^{-3})$D $(10^{-9}~m^2~s^{-1})$
Temperature (℃)
150200250300350400
(a)
0.0072204022002570281030903320
0.0235a)7448439049931090
0.0262a)618672742799913
0.0272a)618701766838899
0.0319a)532555678736785
0.0379a)a)495541601643
0.0515a)a)367405427472
0.0676a)a)276314344365
0.100a)a)a)205220243
0.156a)a)a)133147158
0.208a)a)a)104113122
(b)
0.0049290033053626411742674493
0.0118115913101463161117481874
0.0138b)10861229133014421545
0.0306b)448506556608639
0.0514b)b)330363390421
0.0708b)b)255282308332
0.111b)b)b)185204219
0.147b)b)b)153167179
"} {"image_path": "images/2817fd14702d7f3a4f5bd1868c5602c9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Parameter changeNew intervalYan et al. Parameter changeNew intervalYan et al.
$N^{L}$$N^{U}$#N$N_{U}$$N^{L}$$N^{U}$#N$N_{U}$
d0.0253 31 17D480033117
0.07533117580044117
0.12533117680044118
0.17533117780044118
0.22533117880055118
C40033112A2533117
500331157533118
6003311712534220
7003422017534221
8004412222544122
F1078271V0.533117
15661491.033117
20551371.533117
25452312.033117
30441262.533118
$C_{d}$1034220$H_{b}$633116
2033119733117
3033118833118
4033118934219
50331171044120
"} {"image_path": "images/a609e123b5b3949b9a5d78e640ee8205.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
cistransTS
ωββ'αα'ωββ'αα'ββ'αα'
14-Me-4'-Me5.372.515.0125.3132.7177.2147.61.7120.2122.890.00.3180.0126.0
24-CN-4'-CN5.174.215.9126.7132.0177.1145.90.8120.4122.389.90.1178.9125.6
34-OMe-4'-CN8.157.024.0125.0132.2177.5151.70.9121.1122.0135.60.1180.0125.5
44-CN-4'-OMe2.486.54.5127.1132.8176.4142.51.3120.6123.090.00.0180.0126.2
54-Me-4'-CN6.865.021.5125.0132.0177.4148.10.9120.7122.0104.01.3180.0125.4
64-CN-4'-Me3.083.28.0127.1132.6176.8141.80.7120.2122.990.10.5179.2126.1
7TMNBA4.360.152.6127.3132.6178.8110.25.2119.0125.673.214.0177.7128.2
8TBI1.790.46.6126.2133.1177.8146.60.5122.7122.488.60.5180.0125.9
94-Me-4'-OMe4.776.111.0125.4133.0177.0145.41.3120.1123.0105.16.3179.8126.2
104-OMe-4'-OMe6.766.516.6124.8132.9177.1147.61.3120.4122.961.20.4178.8126.1
114-OMe-4'-Me7.262.619.7124.9132.8177.1148.11.1120.5122.7115.50.8180.0126.0
12NBA4.774.914.4125.5132.7177.2143.91.2120.1122.790.20.1180.0125.9
"} {"image_path": "images/4dcb5502a449c459c5aa585e8a451d4f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目指标基准期试验期
1973年12月1975年5月1975年7月11~18日1975年7月24~31日1975年8月2~8日
生产产量,$t / d$2649.82597.72575.72874.13140.8
利用系数, t/$\\left(\\mathrm{~m}^{3} \\cdot \\mathrm{d}\\right)$1.0541.0301.0241.1441.252
冶炼强度,t/$\\left(\\mathrm{m}^{3} \\cdot \\mathrm{d}\\right)$0.4840.5870.5630.6250.671
综合冶炼强度, t/$\\left(\\mathrm{~m}^{3} \\cdot \\mathrm{d}\\right)$0.5310.6640.6010.6760.730
燃料焦比(干),$\\mathrm{kg} / t_{\\mathrm{Fe}}$510551550528516
校正焦比, $\\mathrm{kg} / \\mathrm{t}_{\\mathrm{Fe}}$550(基数)516513
油比, $\\mathrm{kg} / \\mathrm{t}_{\\mathrm{F}}$41.067.734.440.943.4
燃料比 $\\mathrm{kg} / \\mathrm{t}_{\\mathrm{Fe}}$555.5625.3587.8573.5564.2
焦炭灰份,%13.4013.4113.4013.3613.22
鼓风风量, $\\mathrm{m}^{3} / \\mathrm{min}$2811326333753438(总)3567(总)
校正风量,$\\mathrm{Nm}^{3} / \\mathrm{min}$2772314432813306(总)3434(总)
富氧量, $\\mathrm{Nm}^{3} / \\mathrm{min}$00064.32126.3
富氧率,%0001.542.91
自然湿度,$\\text{g/m}^3$16.822.825.925.926.3
风温, ℃10631082108810701074
鼓风动能,$\\mathrm{kgm} / \\mathrm{s}$558857626297
原料烧结率, %97.0390.1283.9587.6786.27
球团矿配比,%块矿 2.979.8816.0512.2313.73
石灰石比, $\\mathrm{kg} / t_{\\mathrm{Fe}}$29.771.934.9315.421.7
矿石含铁,%扣 CaO55.5057.4556.1058.6557.4
未扣 CaO48.0651.5050.4651.8550.78
生铁Si, %
炉渣碱度0.9660.9140.9030.9230.912
计算渣量, $\\mathrm{kg} / \\mathrm{t}_{\\mathrm{Fe}}$626658633
煤气CO, %25.0225.5027.6227.2026.62
$CO_2$, %13.913.8814.5414.2714.70
$H_2$, %3.983.394.545.104.70
$N_2$, %56.7056.9852.6052.0525.55
$\\mathrm{CO} / \\mathrm{CO}_{2}$ 1.801.831.891.901.81
炉缸煤气量,$\\text{m}^3/\\mathrm{t}_{\\mathrm{Fe}}$224921842136
炉顶煤气温度, ℃243266253245233
操作热风压力, $\\mathrm{kg} / \\mathrm{cm}^{2}$2.092.022.172.062.20
炉顶压力, $\\mathrm{kg} / \\mathrm{cm}^{2}$0.870.840.890.840.87
压差, $\\mathrm{kg} / \\mathrm{cm}^{2}$1.221.181.281.221.33
焦炭负荷, $\\mathrm{t}_{\\mathrm{矿}} / \\mathrm{t}_{\\mathrm{焦}}$3.663.483.323.423.52
作崩料,次00000
坐料,次02001
风口破损,个3212401
渣口破损,个1917337
风口前理论燃烧温度,℃231623752445
"} {"image_path": "images/d139f4ae1da41811476c08521e3002e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
单 位职 务姓 名任职时间机构变化/职务变动情况
秦皇岛港务集团有限公司杂货港务分公司纪委书记么春华(2003.4~)
工会主席高振明(2003.4~)
秦皇岛港务局第六港务公司经 理徐恩东(-1997.12) 调局第二港务公司
朱朝阳(1997.12~2002.9)任集团公司副总经理
党委书记李兴和 (-1999.3) 任调研员
王德利(2001.3~2003.4)
党委副书记田云山(1999.3~2001.3)调局第七港务公司
副 经 理孙忠华(~1996.5)调局第七港务公司
秦 戡(-2003.4) 调集团公司安全质量部
康建国(1996.5~2003.4)
温洪涛 (-2002.3) 任调研员
何振亚(2002.3~2003.4)
纪委书记梁忠富 (-1999.3) 任调研员
纪委书记(兼)田云山(1999.3~2001.3)调局第七港务公司
纪委书记陈守新(2001.3~2003.4)
工会主席田云山(1996.5~1999.3)
董理(1999.3~2003.4)
秦皇岛港务集团有限公司第六港务分公司经 理王录彪(2003.4~)
党委书记王德利(2003.4~)
副 经 理康建国(2003.4~)
何振亚(2003.4-2004.7)调集团公司煤五期筹备组
马蕴春(2003.4~2003.9)调集团公司物流分公司
高晓渤(2004.3~)
薛立军(2005.7~)
纪委书记陈守新(2003.4~)
工会主席董理(2003.4~)
秦皇岛港务局煤四期筹备组组 长王德利(~1996.5)
副 组 长周利民 (-1996.5)
秦皇岛港务局第七港务公司经 理黄建华(1996.5~1997.6)1997.5任副局长
孙忠华(1997.6~1998.8)
孙光复(1998.8~2003.4)
党委书记王德利(1996.5~2001.3)调局第六港务公司
田云山(2001.3~2003.4)
副 经 理孙忠华(1996.5~1997.6)
朱 钰 (女)(1996.5~1999.3)调局技术设备处
周利民(1996.5~1999.10)2001.3任调研员
赵民华(1998.8~2003.4)
"} {"image_path": "images/2e2f4368f8b7f31c79bd01895c4eede5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Data sourceMeasurementcharacter orno. ofspecimensSize classinterval (mm)No. ofsizeclassesNo. ofJN per.max. peaks>0Instardeterminationmethod
SJNJLC
(A) Baetisca rogersiBernerHead length0.05236PPPP
0.033710PPPP
0.025613PPPP
(178 female nymphs)Head width0.10205PPPP
0.054012PPPP
0.036619PPPP
Carapace length0.105615PPP——
0.0511334EEE——
0.0318853EEE——
Carapace width0.203210EEE——
0.106418EEE——
0.0512735EEE——
Spine length0.104215EEE——
0.0584 25EE E——
Abdominal width0.2024 6EEE——
0.104811EEE——
0.05 9619EEE——
(B) Random numbers $\\dagger$5000.06226EEE PP P
0.034316PPPP
0.026420PPPP
0.0112735PPPP
10000.06226EEE——
0.034311PEP——
0.026420PEP——
0.0112739EEE——
"} {"image_path": "images/1daecdcd02264e90b5efc369033a112e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RadicalIP(V)$\\Delta H_{\\mathrm{f}}(\\mathrm{R})$(kcal/mol)\\begin{array}{c}$\\Delta H_f(\\text{R}^+) \\\\(\\text{kcal/mol})$\\end{array}\\begin{array}{c}$\\Delta H_f(\\text{R}^+) \\\\(\\text{kcal/mol})$\\end{array}
Primary
$1-\\mathrm{C}_{3} \\mathrm{H}_{7}$$8.10^{*}$21.0208268
$1-\\mathrm{C}_{4} \\mathrm{H}_{9}$$8.01^{*}$16.0201266
iso- $\\mathrm{C}_{4} \\mathrm{H}_{9}$$8.01^{*}$14.0199266
$1-\\mathrm{C}_{5} \\mathrm{H}_{11}$ (7.94 est.)10.9$\\sim194$$\\sim 264 $
neo- $C_{5} H_{11}$ .7.915.6188263
1-C $c_{6} \\mathrm{H}_{13}$(7.92 est.)6.0$\\sim 189$$\\sim 263$
1-$\\mathrm{C}_{7} \\mathrm{H}_{15}$(7.90 est.)1.0$\\sim 183$$\\sim 263$
Secondary
$2-\\mathrm{C}_{3} \\mathrm{H}_{7}$ 7.55*18.1192252
2- $\\mathrm{C}_{4} \\mathrm{H}_{9}$7.41*12.5183248
2- $\\mathrm{C}_{5} \\mathrm{H}_{11}$7.417.4179248
2- $\\mathrm{C}_{6} \\mathrm{H}_{13}$7.383.0173248
$2-\\mathrm{C}_{7} \\mathrm{H}_{15}$ (7.35 est.)-2.0$\\sim 168$$\\sim 247$
Tertiary
$\\left.t-\\mathrm{C}_{4} \\mathrm{H}_{9}\\right)$ $6.93^{*}$7.5167234
$t-\\mathrm{C}_{5} \\mathrm{H}_{11}$ 6.853.1161233
$\\left(2 \\mathrm{Me} \\ 2-\\mathrm{C}_{4} \\mathrm{H}_{9}\\right)$
$t-\\mathrm{C}_{6} \\mathrm{H}_{13}$ 6.82-1.9155231
$\\underset{t-C_7H_{15}}{(2Me\\ 2-C_5H_{11})}$6.79-6.6150231
$(2 \\mathrm{Me} \\ 2-\\mathrm{C}_{6} \\mathrm{H}_{13}$ )
"} {"image_path": "images/5b83ff65b69e84172e9606e94f2f2719.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ダミー変数HitRatio提示金额性别年龄居住地域居住年数子供有無自動車利用頻度所得
立場設問内容正:男性負:女性正:29歲下負:30歲上正:都市負:地方正:5年以下負:6年以上正:なし負:あり正:時々負:每日注参照
利自用動者車問1-①道路の拡幅0.7814.192.180.17-0.57-0.740.18-0.86-1.310.40
問1-②歩道の整備0.7415.100.070.65-0.04-1.540.22-0.71-1.27-0.26
步行者問2-①歩道の拡幅と整備0.7215.23 -0.17-2.872.11-1.650.080.06-1.850.30
問2-②歩道の拡幅0.7114.850.84-4.501.40-0.45-0.31-0.23-2.22-0.72
沿道居住者問3-①昼間の騒音変化0.7413.86-0.27-3.931.97-1.39-0.08-0.07-0.071.29
問3-②夜間の騒音変化0.7414.371.06-0.311.670.741.250.800.78
-1.27
"} {"image_path": "images/591d4447ed5b5db4dd6b87f7b813279d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
meatthiaminriboflavin
amountadded,mg/100 g totalfound,mg/100 g% $recov^a$amountadded,mg/100 g totalfound,mg/100 g$\\%$ recov
chicken thigh meat0.1000.17589.80.100 0.29782.0
0.1000.17791.80.1000.30085.0
0.1000.17488.80.1000.30485.089.0
0.0980.184100.80.0940.30292.6
0.1000.18599.80.0980.30591.8
mean ± SD94.2±5.788.1±4.5
bologna0.0920.18194.60.1000.29899.0
0.1000.18186.70.0940.29298.9
0.1000.18186.60.0970.297101.0
0.0940.17686.80.0920.27987.0
0.0990.17783.40.0990.29394.9
mean ± SD$ 87.6\\pm 4.2 $$ 96.2\\pm 5.6 $
ground beef0.1000.15386.40.1000.29891.0
0.0980.14883.10.0990.29083.8
0.0990.15488.30.0930.28786.0
0.0960.14278.90.1000.30699.0
0.0960.15289.10.0960.29591.7
mean ± SD$85.2 \\pm 4.2$ $90.3\\pm 5.9$
wieners0.0990.14583.60.0990.23698.9
0.0920.14387.80.0980.237101.0
0.0920.13680.20.0970.236101.0
0.0980.14584.50.0930.22896.8
0.0980.14685.70.0980.238102.0
mean ± SD$ 84.4\\pm 2.8 $$ 99.9\\pm 2.1 $
pork shoulder picnic0.1960.66993.40.0980.23189.3
0.1980.688102.00.0930.22890.4
0.2940.75591.50.0970.22987.6
0.4830.93392.50.0970.23795.9
0.4960.93991.30.0970.23694.8
mean ± SD$94.1 \\pm 4.5$$91.6 \\pm 3.6$
"} {"image_path": "images/e57ad7383c4290571c8ea5e825811096.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ToothFemaleMale
LeftP*RightLeftP*Right
AMTLn%AMTLn%AMTLn%AMTLn%
UI171534.60.98071514.691058.61.00091058.6
UI271514.60.99071504.771046.70.3241110410.6
UC31472.00.72241452.841043.90.74861045.8
UP31615210.50.331111507.31710516.20.9521710715.9
UP41615210.50.583131508.71910617.90.5132310721.5
UM12015213.20.4842415016.02110819.40.7352310821.3
UM22015013.30.6291714811.51310512.40.5671610615.1
UM381087.40.0521811415.8118812.50.884119411.7
Maxilla9711658.30.73310111588.710182512.20.31911683513.9
LI1121597.60.569151619.31413410.50.709121329.1
LI231591.90.33671604.4101337.50.31061324.6
LC51583.20.77071604.451323.80.44721311.5
LP361613.70.77771614.481346.00.21731332.3
LP4111616.80.829121617.5101307.70.972101327.6
LM12716116.80.9022816217.31713312.80.7061513311.3
LM2151629.30.986151619.3131339.80.5411613212.1
LM31513711.00.321101347.591147.90.5461211810.2
Mandible9412587.50.61010112608.08610438.20.4137610437.3
Total19124237.90.54820224188.4187186810.00.829192182810.2
"} {"image_path": "images/f3a73243a01400204ee0b3645f7d29de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
厂 名项 目上 海第六织布厂辽宁北票县纺 织 厂河南郑州国棉四厂;河南郑州国棉四厂上 海国棉十三厂江苏南通县第二纺织厂黑 龙 江尚志纺织厂黑 龙 江尚志纺织厂 江苏泰州第二织布厂 江苏泰州第二织布厂
织 物 名 称$$ 32^S8\\times 21^S $$绷带药纱布蚊帐布打包布针板底布白 绒纯麻粗平布涤麻细平布涤棉华夫格涤棉提花条
原纱条件原 料 名 称与 混 和 比纯棉纯棉纯棉纯棉纯棉纯棉纯棉$ \\begin{array}{l}~~\\text { T/L } \\\\ ( 6 5 / 3 j )\\end{array} $
纯棉纯棉纯棉纯棉纯棉纯棉纯棉$ \\begin{array}{l}~~\\text { T/L } \\\\ (65 / 35)\\end{array} $
号 (支) 数18.21827.85819.5281182321(28s)z1( $28^{\\mathrm{s}}$ )
27.81827.858399613123 $21(28\\text{ mo})$ $14.7(40 \\mathrm{~s})$
捻 度88.269.756.7 捻系数$442 \\sim 492$82捻系数340捻系数340
88.26356.7 捻系数320~35082捻系数3201 掺系数320
捻 向ZZZZZZZZZZ
ZZZZZZZZZZ
标准干重(克/100米)1.6591.82.5625.3463.5762.5812.0352.035
2.5811.82.5625.3463.5948.8482.0351.4244
品质指标(分)21502000205019002850205023002300
22001900195918002150160023002100
用纱量经 纱公斤/千米19.08520.6125.72797.854192.9793.577167.09863.66988.90789.383
纬 纱19.850821.6326.15685.223135.5164.88210.86258.52768.55448.909
合 计28.905842.2451.883183.077328.47258.146397.96122.196157.461138.292
"} {"image_path": "images/0fe881d898db0732a8a0d546dd61342b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
课程编号No. 课程名称Course Title学分Credit学时Hour 学时类型Credit Hour Type任课单位School/Department备注Memo
讲授Teaching实验Experiment$ \\begin{array}{l}\\text { 实践 } \\\\ \\text { Practice }\\end{array} $
1科学研究方法与论文写作*Research Methodology & ThesisWriting11616数统学院SOMStsaeLderiuqeRseiderC61分学61修选少至ytiroriPforsesruoCevitceLE程课选优荐推为程课的号*有
2专业高峰课程* Introduction to Capstone Project11616
3信息论基础* Elements of Information Theory23232
4微分几何* Differential Geometry23232
5数学软件*Mathematical Software23232
6模糊数学* Fuzzy Mathematics23232
7泛函分析* Functional Analysis23232
8经济控制论* Economic Cybernetics23232
9精算学* Actuarial Science232266
10寿险精算* Life Insurance232266
11运筹学选讲* Lectures on Operations Research23232
12数学分析选讲 Lectures on Mathematical Analysis23232
13高等代数选讲 Lectures on Higher Algebra23232
14金融数学 Financial Mathematics23232
15复变函数 Complex Variable Function23232
16社会科学中的数学 Mathematics in Social Science232266
17多元统计分析 Multivariate Statistical Analysis348426
18时间序列分析 Time Series Analysis348426
19市场调查与预测 Market Investigation and Forecast232266
20抽样技术 Sampling Thchniques232266
21保险学 Insurance23232金融学院SOF
22金融衍生工具 Financial Derivatives23232
"} {"image_path": "images/10169eef0ea30e47fd954d07869b6097.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CenterRoom volume,$\\mathrm{m}^{3}$Number ofphotocopiersNumber ofcopies $made^a$ACHMeasurementdayType of$entrance^b$$Ventilation^c$
A10267966(1380)101bf
2ba, f
3ba, f
B289715,733(10,196)8.31bf
2ba, f
3ba
C10163100(2051)5.11cf
2ca, f
3ca, f
D74712,219(13,283)8.51cf
2cf
3cf
E20388233(3855)5.81cf
2ca, f
F10268833(577)7.83ca, f
1b-
2cf
3cf
G5648710(6425)5.91bf
2ca, f
3ca, f
H8446400(2253)10.11af
2af
3af
I7297200(2443)7.21bf
2ca, f
3ca, f
J9075300(360)6.21ba
2ca
3ca
K10157300(2524)5.41c-
2ca
3ca
L117512,966(4669)9.81b-
2ca, f
3ca, f
$M^d$303113406.51c-
"} {"image_path": "images/162c4c9d221137abc05d62f556b2d839.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
E/N$w_{e}, 10^{6} \\mathrm{~cm} / \\mathrm{s}$$\\mu_{+}$$\\alpha / N, 10^{-18} \\mathrm{~cm}^{2}$$\\eta / N, 10^{-\\mathrm{18}} \\mathrm{~cm}^{2}$${D_{T} / \\mu, \\mathrm{V}}$${D_{L} / \\mu, \\mathrm{V}}$
$10^{-17} \\mathrm{~V} \\mathrm{~cm}^{2}$$\\operatorname{expt}\\ w^{\\prime}$MC w${_2}$MC $w_{\\Delta\\tau}$$\\mathrm{cm}^{2} / \\mathrm{V} \\mathrm{~s}$expt.MC$\\mathrm{MC}\\ H^{-}$MC CH${_2}$MCMC
10.007.927.427.500.860.15
12.506.84
15.006.37
17.505.76
20.005.495.565.462.090.26
25.005.35
30.005.275.235.173.020.40
35.005.16
40.05.25
50.05.385.345.320.01350.00153.880.76
60.05.455.594.561.07
70.05.816.025.730.0320.0620.00904.591.44
80.06.406.536.292.490.1020.1100.0850.0154.791.77
90.06.837.126.852.640.2410.2600.1030.0194.952.00
100.07.407.617.342.760.500.550.1180.0244.872.10
112.58.148.398.092.850.961.030.1260.0294.762.18
125.08.869.078.852.971.711.740.1360.0325.062.52
150.010.210.610.33.164.053.660.1400.0375.022.62
175.011.63.317.29
200.013.213.813.03.4010.89.490.1300.0395.242.78
250.016.33.4219.8
300.019.919.618.03.3531.026.60.1050.0374.713.70
40026.63.1852
50033.132.727.43.057267.60.0670.0265.284.63
60040.02.9392
70046.346.936.72.821111060.0460.0195.504.30
80052.32.71125
90058.72.63134
100066.267.550.62.521451620.0290.0135.607.23
"} {"image_path": "images/306a9a60626265f9aeac078bbdca4756.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$CP_a$$CP_a$$CP_a$$CP_a$$CP_a$$CP_a$$CP_a$$CP_a$$CP_a$$CP_a$$CP_a$$CP_a$NC
1 23 45 67 8910 1112
$CP_b$ 15561139 4937326359 3416
$CP_b$ 24085285 1056302171851412621
$CP_b$ 31451565 10153010341510741612
$CP_b$ 460215184152261870376
$CP_b$ 53117211 1233195223576
$CP_b$ 6803367 241223123975872012
$CP_b$ 76555249710116832484
$CP_b$ 825464 8134265824181146263321
$CP_b$ 92931355252462711930761220
$CP_b$ 1032516338236626251841339422920
$CP_b$ 1113947257212844317877
$CP_b$ 1218982451293314131 65
$CP_b$ 132472726711175711212146
$CP_b$ 1418621401415252332834221310
$CP_b$ 1551115620241915220158149134584340
NC3033335141941831416242518
"} {"image_path": "images/6f16b7334242228e60d7021d0c38d267.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RUMethodsMode index n
12345
00Present3.51601522.03449261.697214120.901916199.859530
[4]3.516022.034561.6972120.902199.860
1Present3.68164722.18101161.841763121.050922200.011574
[3]3.681622.181061.8418--
2Present4.13732022.61492262.273184121.496695200.466923
[3]4.137322.614962.2732--
3Present4.79727923.32026462.984967122.235547201.223245
[3]4.797323.320362.9850--
12Present13.17015037.60311279.614478140.534354220.536322
[4]13.170237.603179.6145140.534220.536
11Present3.88882422.37501462.043053121.263205200.230870
[3]3.888822.375062.0431--
2Present4.83368923.36604263.067548122.339546201.340072
[3]4.833723.366063.0675--
4Present7.47504826.95726266.986772126.537325205.706683
[3]7.47526.957366.9868--
8Present13.50738937.95379380.529532141.877971222.165291
[3]13.507437.953880.5295--
15Present24.40920261.437052113.488866182.695785268.831067
[1]24.409261.4371113.4889--
21Present4.08533522.56725762.243575121.475038200.449876
[3]4.085322.567362.2436--
2Present5.43994924.09237363.850233123.175402202.208659
[3]5.439924.092463.8502--
4Present8.96637929.38050769.852259129.712377209.068207
[3]8.966429.380569.8523--
31Present4.27265922.75778462.443336121.686425200.668594
[3]4.272722.757862.4433--
2 Present5.98371324.79612464.621696124.004411203.072744
[3]5.983724.796164.6217--
4Present10.23679831.60490172.583135132.794372212.364626
[1]10.236831.604972.5831--
"} {"image_path": "images/e7c05915bd4ea55e71df4496d196269a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
anMethod$\\hat{a}$$\\hat{\\mu}$$\\hat{\\sigma}^2$
Mean Bias nxMSEMeanBiasnxMSEMeanBias$n \\times \\mathrm{MSE}$
0.9030ML0.90040.00040.00441.01860.01861.76080.51030.01033.7469
MM0.90080.00080.00491.02020.02021.81230.51890.01895.2123
50ML0.90000.00000.00151.00640.00641.66600.50430.00432.9096
MM0.89980.00020.00181.00860.00861.69640.50760.00763.6813
100ML0.90000.00000.00041.00480.00481.63380.50710.00712.8956
MM0.90010.00010.00061.00710.00711.68090.50720.00723.6452
0.9530ML0.95050.00050.00521.01960.01961.75320.52540.02543.5552
MM0.95070.00070.00561.02040.02041.80810.53450.03454.4744
50ML0.95010.00010.00161.00590.00591.66230.50430.00433.0527
MM0.95020.00020.00181.00790.00791.68730.50780.00783.6121
100ML0.95000.00000.00051.00190.00191.80390.49720.00283.1435
MM0.9500 0.00000.00061.00250.00251.82140.49300.00703.6450
1.0530ML1.05030.00030.00431.01290.01291.72110.51310.01313.4501
MM1.05050.00050.00481.01680.01681.76980.51680.01684.5249
50ML1.05010.00010.00161.00200.00201.67440.50780.00783.2367
MM1.05020.00020.00181.00480.00481.70210.50680.00684.2030
100ML1.05000.00000.00041.00270.00271.85100.50590.00593.2660
MM1.05000.00000.00051.00510.00511.88430.49780.00223.7745
1.1030ML1.10040.00040.00691.01590.01591.76140.51940.01943.1260
MM1.10050.00050.00631.01730.01731.78900.52380.02383.6960
50ML1.10000.00000.00231.00860.00861.76500.51100.01103.2356
MM1.10010.00010.00241.00910.00911.78670.51350.01354.3306
100ML1.10000.00000.00061.00340.00341.70190.50360.00362.9100
MM1.10000.00000.00071.00400.00401.74560.50260.00263.5872
"} {"image_path": "images/6c695f2b255c4ef32d76678eebdf74cd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
p-stated-state n*
n*2.32.42.52.62.72.82.93.03.13.23.33.43.53.63.73.83.94.0
1.3425461507566630706799889995108311911334147816081790187019362140
1.4429460505565633704795896985108211991340148716111795187219372136
1.5419451501556627700785891977108812121346149316041793186319302144
1.6402437489544614695779875975110212211350148815911774184419192126
1.7384418467529595674769856976110812241338146715701743181719002118
1.8366397443505576651755841973109512101308143515451702178618782081
1.9356387432489562635722841961107811751273139715171672176318632034
2.0359388431479545624707834943105911581256136814901647174718491998
2.1361394436483547615704817920102711241238135814651624173618381978
2.240038244048954661069081789799811151201135114531599172818291953
2.347446141649154961270180688397410781194131014561569171618181925
2.453151850746354761569478488195810471153129714321547168818091901
2.559458557756451361569577987994910411145126413881544164418041879
2.667565965163963257669578287995710461141125413911524161417931871
2.773973472671971570866377690197110221117123213551478161617661887
2.881982180578477376173676188895810441145123713461487161417211891
2.989989587185285686185475988398410271113122613551467156817031885
3.097394695592593992790292087098710611145123413191439155217221859
"} {"image_path": "images/d10dd59d890d882980f7055ab799be84.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DogIntactVagi CutDead
ExpirationInspirationExpirationExpirationInspiration
BeforeAfter%△BeforeAfter%△BeforeAfter%△BeforeAfter%△BeforeAfter%△
1132171+28136194+42
2100149+4998162+65
3111144+30103144+40
48797+108798+13185220+19
5133173+30179208+16
685125+46219260+19
78195+177897+24177221+25111125+138494+12
86381+286286+39229250+9229258+13
9131175+34158199+26125143+14113119+5
107993+18137150+9124144+14
1184102+21185199+7
12130185+42
13103150+45
Av.101134+33103140+36190227+19157173+10138154+11
"} {"image_path": "images/9aa51fbb35192ddd611fdb0053154731.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年代项目1949195219571962196519701975197919811983
合计面 积48.7863.7554.6431.5051.0942.4749.8144.1251.8255.76
%100100100100100100100100100100
油料作物面 积43.7649.2848.5630.0545.6038.2444.0641.3750.1353.62
%89.777.388.995.489.390.0488.4693.896.7496.16
其中花 生0.110.990.560.040.250.040.050.330.701.12
芝 麻//1.010.090.620.750.500.280.470.51
小麻子12.5612.5811.4710.9613.3312.5612.1117.8215.5710.25
油菜籽//0.72////0.010.121.05
其 他31.0936.1134.8018.9631.4024.8931.4014.9033.2740.69
麻类作物面 积1.290.850.620.410.330.550.980.660.570.37
%2.641.331.131.300.641.291.971.491.090.66
其中大 麻1.290.700.610.300.320.550.820.510.570.34
黄红麻//////0.110.11//
其他麻///////0.04//
甜菜面 积0.240.630.050.130.090.960.690.220.160.21
%0.50.990.090.410.172.261.380.490.310.38
棉花面 积3.0612.515.050.745.042.681.090.030.120.02
%6.319.69.22.39.96.32.180.060.230.04
烟叶面 积0.410.460.350.160.03/0.040.020.070.04
%0.840.720.640.500.05/0.080.040.140.07
药材面 积//////1.181.250.061.43
%//////2.372.831.162.56
其他面 积0.020.020.010.01/0.041.770.570.170.07
%0.040.030.010.03/0.093.551.300.330.13
"} {"image_path": "images/96d1ebd1b9249ef858f4ffbd4aa1d328.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
no.compoundlog$S_{w}$log $S_{w}$(HM)logSlog S(HM)log S(SVM)no.compoundlog$S_{w}$log $S_{w}$(HM)logSlog S(HM)log S(SVM)
1502,3,5-trimethylheptane-1.220-1.161-1.350-1.297-1.299$188^{a}$2,2,3,3,4-pentamethylpentane-1.351-0.932-1.481-1.076-1.076-1.022
1512,3,6-trimethylheptane-1.103-1.059-1.234-1.197-1.2381892,2,3,4,4-pentamethylpentane-1.184-0.912-1.315-1.058-0.960
1522,4,4-trimethylheptane-0.977-0.979-1.108-1.119-1.145190pentylcyclohexane0.5840.6620.4720.5170.532
$153^{a}$2,4,5-trimethylheptane-1.115-1.182-1.246-1.319-1.3021911-cyclopentylhexane-1.420-1.029-1.576-1.166-1.384
1542,4,6-trimethylheptane-0.891-1.134-1.022-1.272-1.233192pentylcyclohexane-1.233-1.038-1.389-1.175-1.386
1552,5,5-trimethylheptane-1.023-1.048-1.153-1.188-1.186$193^{a}$undecane-2.357-1.644-2.487-1.774-2.016
1563,3,4-trimethylheptane-1.095-1.19-1.379-1.327-1.292194hexylbenzene0.0080.186-0.1050.0420.100
1573,3,5-trimethylheptane-1.095-1.112-1.226-1.250-1.2441951,2,3-triethylbenzene0.5900.3650.4360.2210.221
$158^{a}$3,4,4-trimethylheptane-1.229-1.141-1.360-1.278-1.2851961,2,4-triethylbenzene0.5900.4350.4360.2900.508
1593,4,5-trimethylheptane-1.264-1.337-1.394-1.471-1.3711971,3,5-triethylbenzene0.6220.490.4690.3450.564
1603-isopropyl-2-methylhexane-1.367-1.177-1.497-1.313-1.307$198^{a}$1-cyclopentylheptane-1.790-1.409-1.946-1.545-1.823
1613,3-diethylhexane-1.357-1.291-1.487-1.423-1.4351991-cyclohexylhexane-1.599-1.391-1.754-1.527-1.826
1623,4-diethylhexane-1.298-1.331-1.429-1.462-1.465200dodecane-2.432-1.927-2.538-2.057-2.478
$163^{a}$3-ethyl-2,2-dimethylhexane-1.105-1.088-1.236-1.226-1.2332011-phenyloctane-0.324-0.329-0.437-0.472-0.340
1644-ethyl-2,2-dimethylhexane-0.876-0.995-1.007-1.135-1.1672021-cyclopentyloctane-2.046-1.768-2.201-1.904-2.124
1653-ethyl-2,3-dimethylhexane-1.293-1.175-1.424-1.311-1.312$203^{a}$1-cyclohexylheptane-1.857-1.795-2.013-1.931-2.157
1664-ethyl-2,3-dimethylhexane-1.225-1.252-1.356-1.386-1.363204tridecane-2.699-2.322-2.830-2.451-2.773
1673-ethyl-2,4-dimethylhexane-1.205-1.174-1.336-1.309-1.3632051-phenyloctane-0.603-0.727-0.715-0.868-0.725
$168^{a}$4-ethyl-2,4-dimethylhexane-1.229-1.106-1.360-1.243-1.2652061,2,3,4-tetraethylbenzene-0.049-0.543-0.202-0.683-0.497
1693-ethyl-2,5-dimethylhexane-1.055-1.179-1.186-1.315-1.2942071,2,3,5-tetraethylbenzene-0.041-0.491-0.194-0.632-0.448
1704-ethyl-3,3-dimethylhexane-1.273-1.181-1.404-1.316-1.325$208^{a}$1,2,4,5-tetraethylbenzene-0.033-0.527-0.186-0.668-0.477
1713-ethyl-3,4-dimethylhexane-1.254-1.291-1.385-1.425-1.3642091-cyclopentylnonane-2.187-2.086-2.343-2.221-2.361
1722,2,3,3-tetramethylhexane-1.210-0.948-1.341-1.090-1.0652101-cyclohexyloctane-1.996-2.086-2.151-2.221-2.388
$173^{a}$2,2,3,4-tetramethylhexane-1.173-1.08-1.303-1.220-1.185211tetradecane-2.658-2.544-2.770-2.673-3.050
1742,2,3,5-tetramethylhexane-0.912-0.99-1.042-1.132-1.0902121-phenylnonane-0.793-1.089-0.906-1.230-1.082
1752,2,4,4-tetramethylhexane-1.048-0.908-1.178-1.053-0.985$213^{a}$1-cyclopentyldecane-2.229-2.376-2.385-2.510-2.458
1762,2,4,5-tetramethylhexane-0.898-0.985-1.029-1.128-1.0782141-cyclohexylonane-2.022-2.439-2.178-2.573-2.490
1772,2,5,5-tetramethylhexane-0.633-0.761-0.764-0.909-0.949215pentadecane-2.959-2.885-3.092-3.013-3.133
$178^{a}$2,3,3,4-tetramethylhexane-1.315-1.117-1.446-1.256-1.237216 hexadecane-3.046-3.06-3.398-3.188-3.188
1792,3,3,5-tetramethylhexane-1.030-1.002-1.161-1.144-1.118217heptadecane-2.854-3.359-2.983-3.488-3.483
"} {"image_path": "images/6f6e000f993eb53a1152049b87faf237.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fundamental ArgumentsP,V, Unconstrained,μasConstrained,μasRestricted,μas
$\\ell$$\\ell'$FDΩ$\\theta+\\pi $Hoursmm$p^c$$p^s$$p^c$$p^s$$p^c$$p^s$
$2\\varrho 1$-0-20-2128.01-7-910-1011
$\\sigma $00-2-2-2127.85-8-27-27
$\\varrho 1'$-10-20-1126.87-9-149-61
$\\varrho 1$-10-20-2126.87-50-373-307-2610
ρ110-2-2-2126.72-10-65-64
O1'00-20-1125.82-49-2415-269
O100-20-2125.82-262-14247-13845-12360
10-20-2124.8570504
M1-10000124.83210-2-2-21-3
N10-1-22-2124.13-72-100
P100-22-2124.07-122-4217-4418-4317
S10-1000124.003289287299
K1\"00001123.94-71133-32
K100000123.93369124-37154-80157-63
K1'0000-1123.9350-16-1421-11
$\\psi 1$01000123.8730-32-3
$\\phi 1$002-22123.80508110
J110000123.10213-64-6
OO100202122.31117-136-9
OO1'00201122.3079-54-6
$\\eta1$10202121.5820-424
$\\eta1'$10201121.58111223
2N2-20-20-2212.9116-1000
$\\mu2$00-2-2-2212.87193-43-4
N2-10-20-2212.661217-137-126-12
v210-2-2-2212.63236262
M2'00-20-1212.42-24-175-12
M200-20-2212.4263220-7128-6129-62
L210-20-2212.19-180000
T20-1-22-2212.02175-55-5
S200-22-2212.002941-200-201-21
R20-1000211.9812000
K200000211.97806-260-152-16
K2'0000-1211.97241500-5
Ternary00-30-338.2880-50-5
Small000-4-1127.670-1-60-7
Small-10-42-2127.040-7-2-8-2
Small000-10124.770-4-8-5-8
Small-31-20-2213.140-33-13
Small-1-1-20-1212.680202-2
Small0002-2211.580-2-2-1-2
"} {"image_path": "images/2fefb85421919303aa399ba5ddc794c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
S. No.ConfigurationsEnergies (in Ryd.)
MCDFRef. 44 FAC
DCBreitQEDTotal
1 $2\\text{s }^2\\mathrm{S}_{1/2}$0.00000.00000.00000.00000.0000.0000
22p ${ }^{2} \\mathrm{P}_{1 / 2}^{\\circ}$16.71771.5300-1.730016.52511.068115.8490
32p ${ }^{2} \\mathrm{P}_{3 / 2}^{\\mathrm{o}}$167.6695-0.5480-1.5700165.5469131.427165.0351
4$ 3s { }^{2} S_{1 / 2} $956.9363-1.0800-1.3200954.5381943.036954.0709
53p ${ }^{2} \\mathrm{P}_{1 / 2}^{\\circ}$961.4892-0.6880-1.8200958.9784952.379958.2988
63p ${ }^{2} \\mathrm{P}_{3 / 2}^{\\mathrm{o}}$1006.4536-1.2300-1.78001003.4516984.1361002.8189
7 $3d{}^{2}D_{3/2}$ 1007.7489-1.4700-1.86001004.4246984.8061003.6973
8 $3d^{2} D_{5/ 2}$ 1019.9892-1.4900-1.86001016.6438997.0451015.9231
9 $4\\text{s }^2\\mathrm{P}_{1/2}^\\mathrm{o}$ 1283.3641-1.3300-1.63001280.40491270.181279.7763
10 $4\\text{p }^2\\mathrm{P}_{1/2}^\\mathrm{o}$ 1285.2051-1.1700-1.84001282.18951271.691281.4725
11 $4\\text{p }^2\\mathrm{P}_{3/2}^\\mathrm{o}$ 1304.0135-1.3900-1.82001300.80491282.031300.1059
12$4\\mathrm{d}^2\\mathrm{D}_{3/2}$ 1304.5584-1.4800-1.86001301.22021282.241300.5006
13$ 4d ${ }^{2} D_{5 / 2} $1309.7590-1.4900-1.86001306.40911286.891305.6888
14 $4 f{ }^{2} F_{5 / 2}$ 1309.7853-1.5000-1.86001306.42991286.751305.6991
15 $4 f^{2} F_{7/ 2}$ 1312.2858-1.5000-1.86001308.93031289.261308.1994
165s ${ }^{2} \\mathrm{~S}_{1 / 2}$1431.3125-1.4100-1.74001428.15771427.4715
17$ 5p ${}^{2}P_{1/2}^{o} $1432.2311-1.3400-1.85001429.04501428.3186
185p ${ }^{2} \\mathrm{P}_{3 / 2}^{\\circ}$1441.7784-1.4400-1.84001438.49731437.7772
19$ 5d ${ }^{2} D_{3 / 2} $1442.0561-1.4900-1.86001438.71041437.9856
20$ 5d ${ }^{2} D_{5 / 2} $1444.7213-1.4900-1.86001441.36901440.6433
21 $5 f{ }^{2} F_{5 / 2}$ 1444.7363-1.5000-1.86001441.38091440.6469
22 $5 f{ }^{2} F_{7 / 2}$ 1446.0214-1.5000-1.86001442.66591441.9316
235g ${ }^{2} \\mathrm{G}_{7 / 2}$1446.0217-1.5000-1.86001442.66621441.9318
245g ${ }^{2} \\mathrm{G}_{9 / 2}$1446.7814-1.5000-1.86001443.42591442.6914
25 $6~s\\, ^2 S_{1/2}$ 1510.4425-1.4500-1.79001507.20221506.3603
26 $6 p^{2} P_{1/ 2}^{o}$ 1510.9649-1.4000-1.85001507.70581506.8766
27 $6 p{ }^{2} P_{3 / 2}^{o}$ 1516.4504-1.4600-1.85001513.13771512.3570
28 $6~d^{2} D_{3/ 2}$ 1516.6105-1.4900-1.86001513.26091512.5264
29 $6d^{2} D_{5/ 2}$ 1518.1517-1.5000-1.86001514.79811514.0662
30 $6 f{ }^{2} \\mathrm{~F}_{5 / 2}$ 1518.1608-1.5000-1.86001514.80541514.0695
31 $6 f{ }^{2} F_{7 / 2}$ 1518.9054-1.5000-1.86001515.54991514.8137
32 $6 \\mathrm{~g}^{2} \\mathrm{G}_{7 / 2}$ 1518.9056-1.5000-1.86001515.55011514.8139
33 $6 \\mathrm{~g}^{2} \\mathrm{G}_{9 / 2}$ 1519.3462-1.5000-1.86001515.99071515.2543
34 $7\\mathrm{~s}^{2}\\mathrm{~S}_{1/ 2}$ 1557.6028-1.4700-1.82001554.31951553.5159
357p ${ }^{2} \\mathrm{P}_{1 / 2}^{\\circ}$1557.9277-1.4400-1.86001554.63221553.8376
36 7p ${ }^{2} \\mathrm{P}_{3 / 2}^{\\circ}$1561.3621-1.4800-1.85001558.03341557.2685
37$ 7d ${ }^{2} D_{3 / 2} $1561.4625-1.4900-1.86001558.11081557.3746
38$ 7d ${ }^{2} D_{5 / 2} $1562.4319-1.5000-1.86001559.07761558.3432
39 $7 f{ }^{2} F_{5 / 2}$ 1562.4378-1.5000-1.86001559.08241558.3456
40 $7 f{ }^{2} F_{7 / 2}$ 1562.9069-1.5000-1.86001559.55131558.8140
41 $7 \\mathrm{~g}^{2} \\mathrm{G}_{7 / 2}$ 1562.9070-1.5000-1.86001559.55141558.8144
42$ 7g^2G_{9/2} $1563.1848-1.5000-1.86001559.82921559.0918
"} {"image_path": "images/492aeddf364b578011c97f31e83e6986.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类型当量负荷7000C7000AC
当量动负荷$\\begin{gathered} F_{\\mathrm{a}} / F_{\\mathrm{r}} \\leqslant e, P=F_{\\mathrm{r}} \\\\ F_{\\mathrm{a}} / F_{\\mathrm{r}}>e, P_{\\mathrm{r}}=0.44 F_{\\mathrm{r}}+Y F_{\\mathrm{a}} \\end{gathered}$$\\begin{gathered} F_{\\mathrm{a}} / F_{\\mathrm{r}} \\leqslant 0.68, P=F_{\\mathrm{r}} \\\\ F_{\\mathrm{a}} / F_{\\mathrm{r}}>0.68, P_{\\mathrm{r}}=0.41 F_{\\mathrm{r}}+0.87 F_{\\mathrm{a}} \\end{gathered}$
当量静负荷$P_{0}~r=0.5F_{r}+0.46F_{a}\\geqslant F_{r}$$P_{0~r} = 0.5F_r + 0.38F_a \\geq F_r$
轴承型号基本尺寸/mm其他尺寸/mm安装尺寸/mm基本额定动负荷$C_{r}/kN$基本额定静负荷$C_{0\\:r}/kN$极限转速/(r/min)
dDBa$r_{s}$min$r_{1 s}$min$d_{a}$min$D_{a}$max$r_{as}$max7000C7000AC7000C7000AC脂润滑油润滑
7000C7000AC
7204C7204AC20471411.514.910.32641114.514.08.227.821300018000
7205C7205AC25521512.716.410.33146116.515.810.59.881100016000
7206C7206AC30621614.218.710.33656123.022.015.014.2900013000
7207C7207AC35721715.7211.10.34265130.529.020.019.2800011000
7208C7208AC40801817231.10.64773136.835.225.824.5750010000
7209C7209AC45851918.224.71.10.65278138.536.828.527.267009000
7210C7210AC50902019.426.31.10.65783142.840.832.030.563008500
7211C7211AC551002120.928.61.50.664911.552.850.540.538.556007500
7212C7212AC601102222.430.81.50.6691011.561.058.248.546.253007000
7213C7213AC651202324.233.51.50.6741111.569.866.555.252.548006300
7214C7214AC701252425.335.11.50.6791161.570.269.260.057.545006700
7215C7215AC751302526.436.61.50.6841211.579.275.265.863.043005600
7216C7216AC801402627.738.92190130289.585.078.274.540005300
7217C7217AC851502829.941.62195140299.894.885.081.538005000
7218C7218AC901603031.744.221100150212211810510036004800
7219C7219AC951703233.846.92.11.11071582.113512811510834004500
7220C7220AC1001803435.849.72.11.11121682.114814212812232004300
7304C7304AC20521511.316.81.10.62745114.213.89.689.101200017000
7305C7305AC25621713.119.11.10.63255121.520.815.814.8950014000
7306C7306AC3072191522.21.10.63765126.525.219.818.5850012000
7307C7307AC35802116.624.51.50.644711.534.232.826.824.8750010000
7308C7308AC40902318.527.51.50.649811.540.238.532.330.567009000
7309C7309AC451002520.230.21.50.654911.549.247.539.837.260008000
7310C7310AC501102722332160100253.555.547.244.556007500
7311C7311AC551202923.835.82165110270.567.260.556.850006700
7312C7312AC601303125.638.72.11.1721182.180.577.870.265.848006300
7313C7313AC651403327.441.52.11.1771282.191.589.880.575.543005600
7314C7314AC701503529.244.32.11.1821382.110298.591.586.040005300
7315C7315AC75160373147.22.11.1871482.111210810597.038005000
7316C7316AC801703932.8502.11.1921582.112211811810836004800
7317C7317AC851804134.652.831.1991662.513212512812234004500
7318C7318AC901904336.455.631.11041762.514213514213532004300
7319C7319AC952004538.258.531.11091862.515214515814830004000
7320C7320AC1002154740.261.931.11142012.516216517517826003600
"} {"image_path": "images/b468780e9355d3a77b806f068fce3b3b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目杂草类别免 耕浅 耕深 耕
大麦播后86天小麦播后112天小 区大麦播后86天小麦播后112天小 区大麦播后86天小麦播后112天小 区
小 区大 区小 区大 区小 区大 区
杂草数量(株/米² )禾本科600.0727.3127.3690.4727.3259.1981.81281.81627.3
双子叶43.933.659.159.051.8145.572.750.9295.5
合 计643.9760.9186.4749.4779.1404.61054.51332.71922.8
杂草下降(%)禾本科38.943.392.229.743.384.1
双子叶39.633.980.018.9-1.850.8
合 计38.942.990.328.941.579.0
"} {"image_path": "images/e9ce378475d59dbeb32549dec3d6a6f0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MethodAdded$\\mu\\text{g mL}^{-1}$DOX$\\begin{array}{c}-\\mathrm{Added} \\\\\\mathrm{\\mu g~mL}^{-1}\\end{array}$ TRZ$\\begin{array}{c}\\mathrm{Added} \\\\\\mathrm{\\mu g~mL}^{-1}\\end{array}$ALF
Recovery%RSD$%^a$RE$%^a$$Found^b$Recovery%RSD%RE%FoundRecovery%RSD%RE%Found
BCG3.099.800.61-0.202.994±0.0074.099.700.75-0.30$3.988 \\pm 0.012$4.0100.150.470.15$4.006 \\pm 0.008$
6.0100.050.520.05$6.003 \\pm 0.013$8.099.380.40-0.62$7.95 \\pm 0.013$8.099.85 99.850.31-0.15$7.988 \\pm 0.010$
9.099.750.37-0.25$8.978 \\pm 0.014$1299.650.60-0.35$11.958 \\pm 0.029$1299.550.38-0.45$11.95 \\pm 0.018$
BTB5.099.500.60-0.50$4.975 \\pm 0.012$3.0100.300.750.30$3.009 \\pm 0.009$4.099.850.49-0.15$3.994 \\pm 0.008$
10100.200.450.20$10.02 \\pm 0.018$6.099.900.60-0.10$5.994 \\pm 0.015$8.0100.150.550.15$8.012 \\pm 0.018$
15100.130.500.13$15.02 \\pm 0.030$9.099.670.38-0.33$9.970 \\pm 0.014$1299.900.35-0.10$11.988 \\pm 0.017$
MO3.099.750.49-0.252.993±0.0063.099.850.65-0.15$2.996 \\pm 0.008$4.099.900.30-0.10$3.996 \\pm 0.005$
6.099.350.37-0.65$5.961 \\pm 0.009$6.099.600.70-0.40$5.976 \\pm 0.017$8.099.500.68-0.50$7.96 \\pm 0.022$
9.0100.400.400.409.036±0.0159.0100.060.500.05$9.005 \\pm 0.018$1299.800.43-0.20$11.976 \\pm 0.021$
ARS1099.950.70-0.0530100.200.730.20$30.06 \\pm 0.09$1599.750.64-0.25$14.963 \\pm 0.039$9.995±0.029
2599.800.42-0.20$24.95 \\pm 0.043$6099.800.68-0.20$59.88 \\pm 0.166$3099.950.80-0.05$29.985 \\pm 0.098$
4099.650.65-0.35$39.86 \\pm 0.106$9099.500.46-0.50$89.55 \\pm 0.168$5099.700.51-0.30$49.85 \\pm 0.104$
"} {"image_path": "images/beb9988816b9585650dec073c85f2b1d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
The Moon's Astrological Place, 2016-17
Nov.Dec.Jan.Feb.Mar.Apr.MayJuneJulyAug.Sept.Oct.Nov.Dec,
1SAGCAPAQUARIARIGEMCANVIRLIBSAGCAPAQUARITAU
2SAGCAPPSCARITAUCANLEOVIRSCOSAGCAPPSCARITAU
3SAGCAPPSCTAUTAUCANLEOLIBSCOSAGAQUPSCTAUGEM
4CAPAQUARITAUGEMCANVIRLIBSCOCAPAQUPSCTAUGEM
5CAPAQUARIGEMGEMLEOVIRSCOSAGCAPPSCARIGEMCAN
6AQUPSCARIGEMCANLEOVIRSCOSAGAQUPSCARIGEMCAN
7AQUPSCTAUCANCANVIRLIBSCOCAPAQUARITAUCANLEO
8AQUARITAUCANLEOVIRLIBSAGCAPAQUARITAUCANLEO
9PSCARIGEMLEOLEOLIBSCOSAGCAPPSCTAUGEMLEOVIR
10PSCTAUGEMLEOLEOLIBSCOCAPAQUPSCTAUGEMLEOVIR
11ARITAUCANVIRVIRLIBSAGCAPAQUARITAUCANVIRLIB
12ARIGEMCANVIRVIRSCOSAGCAPPSC ARIGEMCANVIRLIB
13TAUGEMLEOVIRLIBSCOSAGAQUPSCTAUGEMLEOVIRSCO
14TAUCANLEOLIBLIBSAGCAPAQUPSCTAUCANLEOLIBSCO
15GEMCANVIRLIBSCOSAGCAPPSCARIGEMCANVIRLIBSCO
16GEMLEOVIRSCOSCOSAGAQUPSCARIGEMLEOVIRSCOSAG
17CANLEOLIBSCOSCOCAPAQUPSCTAUCANLEOVIRSCOSAG
18CANLEOLIBSCOSAGCAPAQUARITAUCANVIRLIBSCOCAP
19LEOVIRLIBSAGSAGAQUPSCARIGEMCANVIRLIBSAGCAP
20LEOVIRSCOSAGCAPAQUPSCTAUGEMLEOLIBSCOSAGCAP
21VIRLIBSCO CAPCAPAQUARITAUCANLEOLIBSCOCAPAQU
22VIRLIBSAGCAPCAPPSCARIGEMCANVIRLIBSAGCAPAQU
23VIRSCOSAGAQUAQUPSCTAUGEMLEOVIRSCOSAGCAPPSC
24LIBSCOSAGAQUAQUARITAUCANLEOLIBSCOSAGAQUPSC
25LIBSCOCAPAQUPSCARIGEMCANVIRLIBSAGCAPAQU PSC
26SCOSAGCAPPSCPSCTAUGEMLEOVIRSCOSAGCAPPSCARI
27SCOSAGAQUPSCARITAUCANLEOLIBSCOCAPAQUPSCARI
28SCOCAPAQUARIARIGEMCANVIRLIBSCOCAPAQUARITAU
29SAGCAPPSC-TAUGEMLEOVIRLIBSAGCAPAQUARITAU
30SAGCAPPSC-TAUCANLEOLIBSCOSAGAQUPSCARIGEM
31-AQUPSC-GEM-VIR-SCOCAP-PSC-GEM
"} {"image_path": "images/d172ea3213e0600fee4dbb002719178d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
线号禾 青HQ-10衍射仪法禾 青·HQ德 拜 法JCPDS ${ }^{[135]}$21-466衍射仪法
I$d_测$ $(\\overset{o}{\\text{A}})$$d_算$ $(\\overset{o}{\\text{A}})$I$d_测$ $(\\overset{o}{\\text{A}})$$d_算$ $(\\overset{o}{\\text{A}})$Id $(\\overset{o}{\\text{A}})$hkl
3.5203.503032
22403.50$\\overline{2}32$
23403.3843.37843.3803.363403.39042
24503.37$\\overline{2}42$
25<53.25052
26153.2243.20573.2003.202103.21$\\overline{2}52$
271003.1903.1601003.18260
28503.06062
29603.0563.03933.0503.036603.05$\\overline{2}62$
30402.9672.96412.9702.971402.985270
3152.919221
32402.8902.87332.8802.870402.893
33502.880$\\overline{2}72$
3452.859$\\overline{3}12$ 、231
35202.8052.79622.7902.764202.801280
2.7882.772132
36102.7802.771102.777192
2.771$\\overline{3}32$
37162.7252.71922.7102.710202.726082
2.7162.704142
38102.703$\\overline{3}42$
3962.6802.67852.680$\\overline{2}33$
2.673$\\overline{3}51$
40<52.659$0~\\underline{12}0$
4172.63052.637152、300
4252.620310、 $\\overline{3}52$
4362.594102.593320、260
44<52.572092
45<52.566$\\overline{2}92$
4642.548<52.548
4752.529
48<52.497
4952.483<52.483
5052.42452.424
5172.393102.397
5242.345<52.369
53<52.329
54252.243102.24102.242
55302.228302.228
56202.220
"} {"image_path": "images/66c9a860e1422ab03a45f71d7de25e7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Compound$[Li^+]$$(^w/o)$$[H^+]$$(^w/o)$
Hydrated $\\alpha-MnO_2$0.0270.65
Dehydrated $\\alpha-MnO_2$(300°C)0.029(calc. value)0.03
"} {"image_path": "images/37f4c24f8046d18d561c9a7e64ff6275.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
[FeL(CO)][FeL(CO)-$(\\mathbf{C}_{5}\\mathbf{H}_{5}\\mathbf{N})]$[FeL(CO)-$(\\mathbf{N}_{2}\\mathbf{H}_{4})]$[FeL(CO)][FeL(CO)-$(\\mathbf{C}_{5}\\mathbf{H}_{5}\\mathbf{N})]$[FeL(CO)-$(\\mathbf{N}_{2}\\mathbf{H}_{4})]$
N1-Fe-N2124.9 (2)126.8 (2)126.8 (2)C5-C4-C9119.4 (5)119.4 (5)119.4 (5)
NI-Fe-N3124.9 (2)126.8 (2)126.8 (2)C4-C5-C6119.4 (5)119.4 (5)119.4 (5)
N1-Fe-N4124.9 (2)126.8 (2)126.8 (2)C5-C6-C7119.4 (5)119.4 (5)119.4 (5)
N2-Fe-N3124.9 (2)126.8 (2)126.8 (2)C6-C7-C8119.4 (5)119.4 (5)119.4 (5)
N2-Fe-N4124.9 (2)126.8 (2)126.8 (2)C7-C8-C9119.4 (5)119.4 (5)119.4 (5)
N3-Fe-N4124.9 (2)126.8 (2)126.8 (2)C4-C9-N3119.4 (5)119.4 (5)119.4 (5)
N5-Fe-N1126.8 (2)126.8 (2)C4-C9-C8119.4 (5)119.4 (5)119.4 (5)
N5-Fe-N2126.8 (2)126.8 (2) N3-C9-C8119.4 (5)119.4 (5)119.4 (5)
N5-Fe-N3126.8 (2)126.8 (2)N3-C10-C11119.4 (5)119.4 (5)119.4 (5)
N5-Fe-N4126.8 (2)126.8 (2)N3-C10-C21119.4 (5)119.4 (5)119.4 (5)
C23-Fe-N1124.9 (2)126.8 (2)126.8 (2)C11-C10-C21119.4 (5)119.4 (5)119.4 (5)
C23-Fe-N2124.9 (2)126.8 (2)126.8 (2)C10-C11-C12119.4 (5)119.4 (5)119.4 (5)
C23-Fe-N3124.9 (2)126.8 (2)126.8 (2)C11-C12-N4119.4 (5)119.4 (5)119.4 (5)
C23-Fe-N4124.9 (2)126.8 (2)126.8 (2)C11-C12-C22119.4 (5)119.4 (5)119.4 (5)
C23-Fe-N5126.8 (2)126.8 (2)N4-C12-C22119.4 (5)119.4 (5)119.4 (5)
Fe-N1-C1124.9 (2)126.8 (2)126.8 (2) N4-C13-C14119.4 (5)119.4 (5)119.4 (5)
Fe-N1-C18124.9 (2)126.8 (2)126.8 (2)N4-C13-C18119.4 (5)119.4 (5)119.4 (5)
CI-NI-C18124.9 (2)126.8 (2)126.8 (2)C14-C13-C18119.4 (5)119.4 (5)119.4 (5)
Fe-N2-C3124.9 (2)126.8 (2)126.8 (2)C13-C14-C15119.4 (5)119.4 (5)119.4 (5)
Fe-N2-C4124.9 (2)126.8 (2)126.8 (2)C14-C15-C16119.4 (5)119.4 (5)119.4 (5)
C3-N2-C4124.9 (2)126.8 (2)126.8 (2)C15-C16-C17119.4 (5)119.4 (5)119.4 (5)
Fe-N3-C9124.9 (2)126.8 (2)126.8 (2)C16-C17-C18119.4 (5)119.4 (5)119.4 (5)
Fe-N3-C10124.9 (2)126.8 (2)126.8 (2)Cl3-C18-N1119.4 (5)119.4 (5)119.4 (5)
C9-N3-C10124.9 (2)126.8 (2)126.8 (2)C13-C18-C17119.4 (5)119.4 (5)119.4 (5)
Fe-N4-C12124.9 (2)126.8 (2)126.8 (2)N1-C18-C17119.4 (5)119.4 (5)119.4 (5)
Fe-N4-C13124.9 (2)126.8 (2)126.8 (2)Fe-C23-O119.4 (5)119.4 (5)119.4 (5)
C12-N4-C13124.9 (2)126.8 (2)126.8 (2)Fe-N5-N6119.4 (5)
N1-C1-C2124.9 (2)126.8 (2)126.8 (2)Fe-N5-C24119.4 (5)
N1-C1-C19124.9 (2)126.8 (2)126.8 (2)Fe-N5-C28119.4 (5)
C2-C1-C19124.9 (2)126.8 (2)126.8 (2)C24-N5-C28119.4 (5)
C1-C2-C3124.9 (2)126.8 (2)126.8 (2)N5-C24-C25119.4 (5)
C2-C3-N2124.9 (2)126.8 (2)126.8 (2)C24-C25-C26119.4 (5)
C2-C3-C20124.9 (2)126.8 (2)126.8 (2)C25-C26-C27119.4 (5)
N2-C3-C20124.9 (2)126.8 (2)126.8 (2)C26-C27-C28119.4 (5)
N2-C4-C5124.9 (2)126.8 (2)126.8 (2)C27-C28-N5119.4 (5)
N2-C4-C9124.9 (2)126.8 (2)126.8 (2)
"} {"image_path": "images/95c02c054d3eeebd70c661892f942b6b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FrequencyType of
100 K330 KIntensitySymmetrysingularityAssignmentTheoretical symmetry$^a$
54mDATA
8887.5S $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_1$$2 \\mathrm{TA}(L)$ $\\Gamma_{1}+\\Gamma_{12}+2\\Gamma_{15}$
108106.5S$\\Gamma _1$$P_1P_2$ $2TA(\\Delta\\rightarrow K)$ $\\Gamma_{1}+2\\Gamma_{12}+\\Gamma_{15}$
115112w$\\Gamma _1$&P_2&2TA(W) $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
143143mDALA
160157m $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_3$ $2\\mathrm{IA}(\\sim K)$ $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
167165m $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_1P_2$ $\\quad$ TO-TA $(\\Delta\\rightarrow K)$ $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
175176m$\\Gamma _1\\Gamma _{15}$$P_1P_2$TO-TA(L)$\\Gamma_{1}+\\Gamma_{12}+2 \\Gamma_{15}$
196m$\\Gamma_{1}$
220.5217.3S$\\Gamma_{15}$$P_1P_2$$\\mathrm{TO}(\\Gamma)$$\\Gamma_{15}$
233w
242238.6S$\\Gamma _1$$P_1P_2$1LO $(\\Gamma)$ $\\Gamma_{1}$
257253w$\\Gamma _1\\Gamma _{15}$ $\\mathrm{LO}+\\mathrm{TA}(L)$ $\\Gamma_{1}+\\Gamma_{12}+2\\Gamma_{15}$
274270S $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_1(P_2)$ $\\mathrm{TO}+\\mathrm{TA}(\\Delta\\rightarrow K)$ $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
285279S $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_1P_2$2LA(L)$\\Gamma_{1}+\\Gamma_{15}$
306w $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ 2IIA( $\\sim K)$ $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
320320$P_3$first of the series $\\sum_{n=1}^{\\infty} b_n z^n$ has absolute value 1 .$\\Gamma_{1}+\\Gamma_{12}$
343339m$\\Gamma _1\\Gamma _{15}$ $\\mathrm{LO}+\\mathrm{LA}(L)$ $\\Gamma_{1}+\\Gamma_{15}$
363356m$\\Gamma _1\\Gamma _{15}$$P_1$ $TO+LA(L)$ $\\Gamma_{12}+\\Gamma_{15}$
373365S$\\Gamma _1\\Gamma _{15}$$P_1P_2$$\\mathrm{LO}+\\mathrm{LA}(\\mathrm{X})$$\\Gamma_{15}$
387w $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $\\mathrm{TO}+\\mathrm{LA}(X)$$\\Gamma_{15}$
405409w $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ 2LO(L), 2LO(X)$\\Gamma_{1}+\\Gamma_{15} ; \\Gamma_{1}+\\Gamma_{12}$
425w $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $\\mathrm{TO}+\\mathrm{LO}(L), \\mathrm{TO}+\\mathrm{LO}(X)$$\\Gamma_{15} ; \\Gamma_{12}+\\Gamma_{15}$
437432S$\\Gamma_{1}\\left(\\Gamma_{15}\\right)$$P_1P_2$$\\mathbf{2 T O}(\\Delta, \\Sigma, \\Lambda)$$\\Gamma_{1}+2 \\Gamma_{12} ; \\Gamma_{1}+\\Gamma_{12}+2 \\Gamma_{15}$
451445m$\\Gamma _1\\Gamma _{15}$$P_1P_2$ $\\mathrm{O}_{5}+\\mathrm{O}_{6}$ (hex)
460456.5S $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_1$$\\mathrm{TO}+\\mathrm{LO}(\\Gamma)$ $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
464S$\\Gamma _1$$P_{2}$
475w$\\Gamma_{1}\\Gamma_{15}$2O(?)
484479S$\\Gamma _1$$P_1P_2$2LO $(\\Gamma)$$\\Gamma_{1}$
"} {"image_path": "images/1365c94b0fa04efd62eb9a0694c6ca12.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
假设置信水平服务业务资产比例
0%10%20%30%40%50%60%70%80%90%100%
T Copula99.5%-0.800-0.707-0.647-0.458-0.408-0.315-0.268-0.246-0.320-0.429-0.429
99.0%-0.680-0.576-0.502-0.340-0.307-0.215-0.168-0.156-0.124-0.182-0.152
95.0%-0.165-0.120-0.052-0.0080.0080.0410.0620.0700.0720.0740.067
90.0%-0.0180.0260.0570.0840.1020.1160.1390.1440.1480.1600.151
FrankCopula99.5%-0.889-0.727-0.556-0.529-0.390-0.276-0.244-0.279-0.340-0.341-0.452
99.0%-0.691-0.585-0.437-0.353-0.293-0.202-0.147-0.163-0.158-0.121-0.127
95.0%-0.164-0.098-0.052-0.0220.0020.0300.0590.0690.0800.0840.075
90.0%-0.0140.0270.0520.0780.0950.1140.1320.1430.1540.1540.157
ClaytonCopula99.5%-0.941-0.697-0.688-0.505-0.464-0.355-0.304-0.296-0.350-0.310-0.477
99.0%-0.723-0.553-0.517-0.398-0.305-0.246-0.192-0.166-0.156-0.113-0.166
95.0%-0.148-0.085-0.050-0.0180.0110.0340.0520.0680.0780.0770.065
90.0%-0.0120.0280.0610.0820.1020.1170.1330.1480.1530.1620.148
GumbleCopula99.5%-0.874-0.731-0.578-0.512-0.365-0.294-0.273-0.266-0.328-0.406-0.462
99.0%-0.684-0.566-0.464-0.369-0.267-0.204-0.151-0.147-0.165-0.158-0.197
95.0%-0.164-0.110-0.061-0.0120.0240.0420.0650.0670.0800.0820.061
90.0%-0.0170.0270.0580.0820.1040.1210.1360.1490.1580.1590.154
完全正相关99.5%-1.085-1.036-0.987-0.938-0.889-0.839-0.790-0.741-0.692-0.643-0.594
99.0%-0.681-0.625-0.570-0.514-0.458-0.402-0.346-0.290-0.234-0.178-0.122
95.0%-0.165-0.138-0.110-0.083-0.055-0.0270.0000.0280.0560.0830.111
90.0%0.0280.0420.0570.0720.0860.1010.1160.1300.1450.1600.175
真实情况99.5%-1.085-0.949-0.812-0.675-0.538-0.401-0.321-0.389-0.457-0.525-0.594
99.0%-0.681-0.572-0.463-0.355-0.246-0.253-0.241-0.128-0.065-0.080-0.122
95.0%-0.165-0.108-0.055-0.0140.0250.0680.0770.0830.1360.1300.111
90.0%0.0280.0450.0730.0880.1090.1370.1510.1520.1710.1710.175
"} {"image_path": "images/0c2b3840b34c97e7a153efb81ab1e477.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
mSimulationProposedSimplifiedNarrowbandapproximation% contribution bylarge cycles, $\\nu$
Case 4: $\\hat{\\sigma}_{X_{LF}}^{2}=0.3$
30.09660.09660.0890.021045.4
40.13240.13130.11710.030457.9
50.17390.17110.14710.042768.1
60.22330.21790.17960.059376.1
70.28310.27380.21410.081982.1
80.35690.34110.24920.113086.6
Case 5: $\\hat{\\sigma}_{X_{LF}}^{2}=0.5$
30.10000.10550.0980.022774.7
40.14320.14780.1342 0.032887.2
50.1931 0.19670.17470.046193.6
6 60.25100.25360.21950.063996.8
70.31920.3203 0.26830.088398.3
8 80.40140.39920.32040.121899.1
Case 6: $\\hat{\\sigma}_{X_{LF}}^{2}=0.7$
30.12210.12700.12150.025393.9
4 40.17940.18070.17150.036698.3
50.24250.24050.22610.051499.5
60.31390.30850.28640.071399.9
70.39770.38810.35470.0984100
80.49830.48360.43310.1358100
"} {"image_path": "images/e3d255034eb658d90487f6175224b247.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ref.MethodABT/K
8Equilibrium with $\\mathrm{CO}+\\mathrm{CO}_{2}$161 04067.481373 to 1673
26E.m.f. relative to $\\mathrm{Fe}+\\mathrm{FeO}_{y}$148 844 ${}^{a}$58.79 ${}^{a}$1073 to 1373
27E.m.f. relative to $\\mathrm{Fe}+\\mathrm{FeO}_{y}$147 812 ${}^{a}$57.93 ${}^{a}$1173 to 1373
28Equilibrium with $\\mathrm{CO}+\\mathrm{CO}_{2}$153 24062.171073 to 1523
20E.m.f. relative to air151 93661.091173 to 1473
18,19Mass-spectrometric with complete sample evaporation157 41466.641490 to 1600
This
workMass-spectral155 01562.061449 to 1700
"} {"image_path": "images/a01ea57a60524f0782053c647600372b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
章别节号清单编码工程项目费用名称单位综合单价合同本季完成本年完成开累完成剩余
数量价值数量价值数量价值数量价值数量价值
0410X0101J0504( 4 ) 隧道照明1 204 5051 204 50501204 50501 204 50500
0410X0101J0508( 8 ) 弃磕场处理495 6630.00159 01618 858159 01621 907492 5384003 123
0410X0101J050801① 浆砌石圬工方124.942 960.74369 915307.6638 439307.738 4392 956369 3614553
0410X0101J050802 ② 场地平整、绿化、复垦平方米6.5019 345.78125 74818 550.35120 57718 550.4120 57718 950123 1773952 570
0410X0101J0510( 10 ) 接触网滑道延长米195.0247292 0490.000000① ② 0① 47292 049
第八章合计房屋13 023 2650.00405 431405 431911 76012 111 496
200820房屋正线公里234 860.7855.45113 023 2650.00405 431405 431911 76012 111 496
0820JI . 建筑工程费$m^2$1 681.077 74713 023 2650.00405 431405 431911 76012 111 496
0820J01一、生产及办公房屋$m^2$1 434.247 74711 111 0550.00183 712245.08183 712245.08183 7127 501.9210 927 334
0820J0101( 一 ) 客货运房屋$m^2$2 460.473 2307 947 3270.00000003 2307 947 318
0820J0101011. 客运房屋$m^2$3 025.332 5007 563 3250.00000002 5007 563 325
0820J01010101( 1 ) 客站$m^2$3 025.332 5007 563 3250.00000002 5007 563 325
0820J0101010102② 中型$m^2$3 025.332 5007 563 3250.00000002 5007 563 325
0820J0101033. 运转技术作业房屋$m^2$526.03730384 0020.0000000730384 002
0820J0102( 二 ) 通信房屋$m^2$749.60766574 194245.08183 712245183 712245183 712521390 482
0820J0103( 三 ) 信号房屋$m^2$676.392 4101 630 1000.00000002 4101 630 100
0820J0105( 五 ) 电力房屋$m^2$720.95928669 0420.0000000928669 042
0820J0106( 六 ) 电力牵引供电房屋$m^2$707.36149105 3970.0000000149105 397
0820J0107( 七 ) 给排水房屋$m^2$697.79250174 4480.0000000250174 448
0820J0109( 九 ) 车辆房屋$m^2$753.371410 5470.00000001410 547
"} {"image_path": "images/3b8524e2b183c2faec4aaf6708c0969b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机组型号GF1 64GF1 - 75GF1 - 90GF1 120
发电机型号TZH 64TZH - 75TZH - 90TZH 120
功 率647590120
额定电流100135163217
额定转速1500150015001500
效 率CO.5909191.5
柴油机型号61256135G6135AD-312V135
生 产 厂上海南京不定合肥
机组重量 (kg)200022002900
"} {"image_path": "images/0dab45fddb7c54229b4f21137d18817f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
牌号街道门牌号经理姓名籍贯店内人口负担人口独或合固定额流动额
合 计463 130万440万
天 成大码头43号张春廷黄冈2 40万100万
复 和正 街47号占汉章'' 1 140万100万
新 和下河街27号陈海山''2100万
利 和 '' 46号涂瑞卿''1250万140万
"} {"image_path": "images/d12c28d475ddd23c34862d58c7b24725.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
65岁老年人占人口比例(%) 岩手每10万人医生数量(人)宫城
福岛县22.7183.2 福岛
宫城县19.9204.6
岩手县24.5178.3
日本平均水平20.1212.9
"} {"image_path": "images/2ac0046893e6793ca87497417dc9d769.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分配的资金(美元)阶段1 + 2阶 段 3总 时 间(天)
美元 时间(天)美元时间(天)
6004008200811
800600620089
1,000600640028
1,200600, 1,0006,4600,2001,37
1,4001,000440026
1,6001,000460015
1,8001,000-1,4004,4,3800-4001,1,25
2,0001,400814
"} {"image_path": "images/b93473fac3a977cc627b91ef369eb3f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
窟号图位编号位 置壁 画 形 象题 材内 容
322香案北侧持杵金刚坐石上护法金刚题名榜题上错写劝学十重戒经文一节。
4567主尊莲座西侧持杵金刚坐石上\"(题名榜子上字迹蚀失)
4542香案东侧释迦合十坐俯莲座上,5 弟子合十围跪释迦树下说戒尔时释迦牟尼佛初坐菩提树下说戒
323说戒会北侧上方5 朵浮云各坐 1 佛化 佛(字迹蚀失)
4543主尊莲座上仰莲每瓣各坐 1 佛\"千百亿释迦牟尼佛
4主尊东侧上立发 5 头合十赤上身的神王天龙八部之一阿修罗王
5\"戴虎帽着甲袍怀抱琵琶的神王\"乾达婆
6\"蛇冠披甲右手拄杵左手抚胸神王\"乾如意叉
7\"戴盔披甲右手举杵肩上左手抚胸神王\"天龙夜叉会
8主尊西侧上戴兽帽着战袍左手抚胸神王\"迦楼罗王
4562\"戴盔披甲右手持杵置肩上左手仰掌胸前的神王\"(文字蚀失)
"} {"image_path": "images/598bccbbd35f8b72368c15502a723878.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
商业天数商业天数修正系数数 据(4月)商业天数数据调整值(·)
19492121/21.25 = 9.9832129129/0.9882 = 130.54
19502020/21.25 = 0.9412135135 / 0.9412 = 143.44
19512121/21.25 = 0.9882163163 / 0.9882 = 164.95
19522222/21.25 = 1.0353181181/1.0353 = 174.83
19532222/21.25 = 1.0353235235 / 1.0353 = 226.99
19542222/21.25 = 1.0353227227 / 1.0353 = 219.26
19552121/21.25 = 0.9882269269 / 0.9882 = 272.21
19562121/21.25 = 0.9882313313/ 0.9882 = 316.74
170/8=21.25
"} {"image_path": "images/e9c74e519c44054b67952344db62d902.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
記号化 学 式文献融点(°C)硫黄含量(%)
実验值理 論 值
AII にて R = H7, 888~9025.821$C_{12}H_{12}N_{2}S_{2}$として 25.81
BI にて R = H676~7725.69
CII にて $R=CH_8CO$7153~15519.00$C_{10}H_{18}O_{2}N_{2}S_{2}$として 19.27
DI にて $R = CH_8CO$6184~18619.30
EII にて $R = C_6H_5CO$本報140~14213.85$C_{26}H_{20}O_{2}N_{2}S_{2}$として 14.04
FI にて $R = C_6H_5CO$本報>25014.01
GII にて$R = NO_{2}\\cdot C_{6}H_{8}\\cdot CO$本報209~212(分解)11.74$C_{26}H_{18}O_{6}N_{4}S_{2}$として 11.72
III上 揭10191~19320.70$C_{12}H_{8}O_{4}N_{2}S_{2}$として 20.78
IV\"9180~18220.34
"} {"image_path": "images/8b9d3b273b76ab969ea091fb34e26fc1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
國 别英 幣美 幣
原 名 SovereignShillingPenceDollarCent
譯 名索 佛 # 先 #辩 士大 赉生 脱
略 號
等数1201249121100
"} {"image_path": "images/98c54d22d79582e097f5c9e3bba25751.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
nX
012345678910111213
280-120-181-242-284-336-378-4111-4513-4916-5219-5622-5925-6328-66
0-170-240-291-343-394-436-478-51 10-5512-5815-6217-6520-6823-71
290-120-181-232-274-326-368-4010-4413-4715-5118-5421-5824-6126-64
0-170-230-281-332-374-426-468-4910-5312-5714-6017-6319-6622-70
300-120-171-222-274-316-358-3910-4212-4615-4917-5320-5623-5926-63
0-160-220-271-322-364-405-447-489-5211-5514-5816-6219-6521-68
310-110-171-222-264-306-348-3810-4112-4514-4817-5119-5522-5825-61
0-160-220-271-312-354-395-437-479-5011-5413-5716-6018-6320-66
320-110-161-212-254-295-337-369-4012-4314-4716-5019-5321-5624-59
0-150-210-261-302-344-385-427-469-4911-5213-5615-5917-6220-65
330-110-151-202-243-285-327-369-3911-4213-4616-4918-5220-5523-58
0-150-200-251-302-343-375-417-448-4810-5112-5414-5717-6019-63
340-100-151-192-233-285-317-359-3811-4113-4415-4817-5120-5422-56
0-140-200-251-292-333-365-406-438-4710-5012-5314-5616-5918-62
350-100-151-192-233-275-307-348-3710-4013--4315-4617-4919-5222-55
0-140-200-241-282-323-355-396-428-4510-4912-5214-5516-5718-60
360-100-151-182-223-265-296-338-3610-3912-4214-4516-4819-5121-54
0-140-190-231-272-313-355-386-418-449-4711-5013-5315-5617-59
370-100-141-182-223-255-286-328-3510-3812-4114-4416-4718-5020-53
0-130-180-231-272-303-344-376-407-439-4611-4913-5215-5517-58
380-100-141-182-213-255-286-328-3410-3711-4013-4315-4618-4920-51
0-130-180-221-262-303-334-366-397-429-4511-4812-5114-5416-56
390-90-141-172-213-244-276-318-339-3611-3913-4215-4517-4819-50
0-130-180-211-252-293-324-356-387-419-4410-4712-5014-5316-55
400-90-131-172-213-244-276-308-339-3511-3813-4115-4417-4719-49
0-120-170-211-252-283-324-356-387-409-4310-4612-4913-5215-54
410-90-131-172-203-234-266-297-329-3511-3712-4014-4316-4618-48
0-120-170-211-242-283-314-345-377-408-4210-4511-4813-5015-53
420-90-131-162-203-234-266-287-319-3410-3712-3914-4216-4518-47
0-120-170-201-242-273-304-335-367-398-429-4411-4713-4915-52
430-90-121-162-193-234-255-287-318-3310-3612-3914-4115-4417-46
0-120-160-201-232-263-304-335-356-388-419-4311-4613-4914-51
440-90-121-152-193-224-255-287-308-3310-3511-3813-4015-4317-45
0-110-160-191-232-263-294-325-356-378-409-4211-4512-4714-50
450-80-121-152-183-214-245-277-308-329-3411-3713-3915-4216-44
0-110-150-191-222-253-284-315-346-378-399-4210-4412-4714-49
460-80-121-152-183-214-245-267-298-319-3411-3613-3914-4116-43
0-110-150-191-222-253-284-315-336-367-399-4110-4312-4613-48
470-8 0-121-152-173-204-235-266-288-319-3411-3612-3814-4016-43
0-110-150-181-212-242-273-305-336-357-389-4010-4211-4513-47
480-80-111-142-173-204-225-256-288-309-3311-3512-3714-3915-42
0-100-140-181-212-242-273-295-326-357-378-4010-4211-4413-47
490-80-111-142-172-204-225-256-277-309-3210-3512-3713-3915-41
0-100-140-171-201-242-263-294-326-347-368-399-4111-4412-46
500-70-11 1-142-172-193-225-246-267-299-3110-3411-3613-3815-41
0-100-14 0-171-201-232-263-284-315-337-368-389-4011-4312-45
"} {"image_path": "images/2c260154907c2bfe543eb451360d442c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
女中学生春秋制服规格参考表
身高号型后长胸围肩宽袖长中腰胯围
150S5786/72385476/6292/78
M5790/76395480/6696/82
L5794/80405484/70100/86
160S6190/76395776/6296/82
M6194/80405780/66100/86
L6198/84415784/70104/90
170S6594/80406080/66100/86
M6598/84416084/70104/90
L65102/88426088/74108/94
"} {"image_path": "images/7127189ed11b4186ee21e5d9f9472530.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T (K) (±0.2)
Site No.1.34.2 711$^a$
$\\alpha$(±0.1)10.740.760.740.75
20.260.240.260.25
$\\delta$ (mm/sec)(±0.015)10.7240.7250.7110.709
20.8650.8850.8860.862
$\\delta_{\\mathrm{mean}}$0.7600.7640.7560.747
H (kOe)(±0.5)1193.7193.5191.7187.9
2183.2183.9182.2 176.9
$H_{mean}$191.0191.2189.2185.1
$\\epsilon=eQV_{ZL}/4\\:(\\mathrm{mm/sec})\\\\(\\pm0.01)$1-1.29(5)-1.31(5)-1.30-1.23 (5)
2-1.35-1.33-1.29-1.26 (5)
$\\epsilon_{\\mathrm{mean}}$-1.31-1.32-1.30-1.24
$\\eta$(±0.1)10 310.290.260.24
120.110.130.170.21
$\\eta_{\\mathrm{mean}}$0.260.250.240.23
$\\Gamma_{\\mathrm{ex}}(\\mathrm{mm/sec})\\\\(\\pm0.01)$0.300.310.320.38
$ \\Gamma_{1}/\\Gamma_{2} $1.651.661.681.75
"} {"image_path": "images/6f2774e7bd4630e9e4c126577fca2de8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathrm{H}_{1^•}$$357^\\overset{\\circ}{\\cdot}2$$\\ldots$$1782^{.}68$
$346^{.}2$$\\ldots$$1802^{.}66$
$\\Sigma.$$330^{.}7$$\\ldots$$22^{.}21$
$327^{.}0$2n.$1^{.}38$$6^{.}77$
$324^{.}0$,,$^{.}24$$9^{.}73$
"} {"image_path": "images/1d34e10081326fe93bda8cb8621a27f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
12525350.0350.0
2666100.0
2176350.0350.0
2286233.3466.7
3106116.7350.0233.3
3206116.7350.0233.3
"} {"image_path": "images/b06dc721b7fc39a9ab1a29a90f6fcaa6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号费用项目金额(元)
1合同实际成本
(1)直接费
1)人工费200000
2)材料费100000
3)设备200000
4)分包商900000
5)其他+100000
合计1500000
(2)间接费+160000
(3) 总成本 $[~(1)~+~(2)~]$1660000
2合同总收入(合同价+变更令)-1440000
3成本超支(1-2)220 000
加:(1)未补偿的办公费和行政费(按总成本的 10%)166000
(2)利润(总成本的 15%+管理费)273000
(3)利息+40000
4索赔总额699000
"} {"image_path": "images/d83b5e0eff6aaee6b2f852d96b15354e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Long trading positionShort trading position
RMIVMGARCHG-IVG-VRPG-RVRPRMIVMGARCHG-IVG-VRPG-RVRP
Developed Market
France$\\hat{\\alpha}$5.63%5.59%5.59%5.59%5.63%5.56%$5.83\\%^{**}$5.12%5.15%5.29%5.32%5.15%
IID0.0100.0380.0620.0380.1330.0651.0000.9680.9950.9641.0000.990
CC0.0050.0220.0450.0310.0760.0670.1400.8510.8330.6090.5810.829
Germany$\\hat{\\alpha}$$5.68\\%^{*}$5.55%5.41%$5.68%^{*}$5.58%5.34%$6.54\\%^{***}$$5.75\\%^{*}$5.65%$5.72\\%^{*}$$5.75\\%^{*}$5.58
IID0.0060.0250.1100.0100.0850.1780.9700.8340.8810.4820.8870.910
CC0.0050.0170.1520.0060.0610.2610.0090.1930.2470.2240.1770.292
Japan$\\hat{\\alpha}$5.20%4.84%5.09%5.05%5.02%4.87%$5.85\\%^{**}$5.27%4.94%5.30%4.91%4.76
IID0.0090.0160.0490.0240.0680.0130.1470.0000.1930.0030.0600.149
CC0.0200.0390.1360.0750.2490.0310.0400.0000.5880.0110.2180.265
Netherlands$\\hat{\\alpha}$$5.88\\%^{**}$5.51%5.57%$5.71\\%^{*}$5.64%5.37%$6.18\\%^{***}$5.17%5.10%5.34%5.47%5.30%
IID0.0050.0010.0670.0220.0680.2550.9970.5750.9990.8970.9930.988
CC0.0010.0000.0630.0170.0530.2990.0420.7820.8580.5780.3850.600
Switzerland$\\hat{\\alpha}$5.43%4.98%5.23%5.16%5.47%5.12%$6.37\\%^{***}$5.61%5.12%5.57%5.64%5.19%
IID0.0320.0440.2170.0320.2920.1210.2920.3920.5740.3460.6850.602
CC0.0330.2230.3970.0990.2880.3890.0110.2600.8420.2440.2740.752
UK$\\hat{\\alpha}$5.65%5.51%5.30%5.68%5.68%5.40%$6.13\\%^{***}$5.47%5.51%5.58%5.61%5.23%
IID0.0930.0060.4830.1170.0330.6000.9150.6040.9990.8640.9490.996
CC0.0420.0120.6060.0700.0220.4970.0490.4030.3930.3210.2800.709
US$\\hat{\\alpha}$$5.85\\%^{**}$5.68%5.47%5.68%5.68%5.57%$6.30\\%^{***}$5.54%5.16%5.61%5.50%5.30%
IID0.0660.0330.2190.0630.5970.3230.7890.3500.6440.4680.9490.977
CC0.0120.0170.1960.0320.2310.2300.0310.2550.7910.3110.4290.627
Emerging markets
Hong Kong$\\hat{\\alpha}$$5.85\\%^{*}$$6.01\\%^{**}$5.31%$6.01%^{**}$5.28%5.12%$5.97\\%^{**}$5.28%5.51%5.35%5.545.39
IID0.0220.0210.0540.0260.0740.0830.8780.7050.7150.6330.4570.934
CC0.0120.0040.0850.0060.1190.2340.1160.6640.3870.5730.3860.582
India$\\hat{\\alpha}$5.52%5.61%5.24%5.52%5.33%5.33%5.43%5.89%5.05%5.33%5.525.14
IID0.2810.0040.3830.0050.1490.1570.8960.9870.9250.9780.9890.952
CC0.4230.0100.7440.0120.2990.3480.6700.3540.9650.7490.5970.892
Mexicof5.70%5.49%5.19%5.32%5.32%5.19%$6.21\\%^{**}$$5.78\\%^{*}$$5.95\\%^{**}$$6.08\\%^{**}$5.95%$5.95\\%^{**}$
IID0.0650.0000.2570.2090.2990.2220.9970.0010.9810.9640.9710.975
CC0.0380.0000.5850.3780.4370.4650.0590.0010.1350.0850.1280.121
South Africa$\\hat{\\alpha}$5.23%4.82%5.29%5.23%5.35%5.40%5.17%5.40%5.00%5.17%5.17%4.88%
IID0.0070.0120.1700.0830.1100.0800.6240.0000.9250.4180.8170.974
CC0.0100.0230.3650.2120.1960.1550.8490.0000.9820.8380.8560.908
South Korea$\\hat{\\alpha}$$6.75\\%^{***}$$6.29\\%^{**}$5.72%$6.38\\%^{**}$5.91%5.91%5.25%5.25%4.60%5.07%5.16%4.88%
IID0.0850.0180.0400.0190.0370.0340.3740.3880.7650.4710.6180.747
CC0.0150.0150.0670.0100.0410.0330.7170.7230.7020.9370.8640.909
"} {"image_path": "images/23989c3ee299dce43a44b097878dcba9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
t$ \\mathbf{y}_{\\mathbf{t}} $$ \\mathrm{y}_{\\mathrm{t}}{ }^{[1]} $$ \\mathrm{y}_{\\mathrm{t}}{ }^{[2]} $
"} {"image_path": "images/21fc24b86c260ce563f44201f4fdf3c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
試 管 抗 體 食鹽水 稀釋度
1不 稀 釋 者0.5 cc1.5 cc1: 4
2,, ,, ,, ,, 0.5 cc2.0 cc1: 5
3,, ,, ,, ,, 0.5 cc2.5 cc1: 6
41: 4 稀 釋 者1.0 cc1.0 cc1: 8
51: 5 ,, ,, ,, 1.0 cc1.0 cc1:10
61: 6 ,, ,, ,, 1.0 cc1.0 cc1:12
71: 8 ,, ,, ,, 1.0 cc1.0 cc1:16
81: 11 ,, ,, ,, 1.0 cc1.0 cc1:20
91: 12 ,, ,, ,, 1.0 cc1.0 cc1:24
10 1.16 ,, ,, ,, 1.0 cc1.0 cc1:32
"} {"image_path": "images/37d4f5d9ee491b6663b01892965699df.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
£
3Bate placed £20,000 in a business account
3Bought car for £ 8,000, paying by cheque8,000
4Bought goods on credit from Hall6,350
5Paid cheque for office expenses340
5Paid cheque for car insurance195
8Cashed a cheque for cash600
9Cash received for sales2,345
12Sold goods on credit to White1,645
14Paid wages in cash250
18Cash received for sales300
20Banked excess cash
24Bought goods on credit from Dunn1,895
25Cheque received from White850
26Cash sales400
27Paid wages in cash250
28Sold goods on credit: White600
Black750
29Cash sales250
30Cheque sent: Hall5,500
Dunn1,500
31Paid all cash into bank
"} {"image_path": "images/027172a4f5f203cc2520ee92b315d12f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
三十六计
金蝉脱壳抛砖引玉,
借尸还魂以逸待劳擒贼擒王趁火打劫 关门捉贼,
混水摸鱼打草惊蛇瞒天过海反间计笑里藏刀,
顺手牵羊调虎离山李代桃僵指桑骂槐隔岸观火,
树上开花暗渡陈仓走为上假痴不癫欲擒故纵,
釜底抽薪空城计苦肉计远交近攻反客为主,
上屋抽梯偷梁换柱无中生有美人计借尸还魂,
声东击西围魏救赵连环计假道伐虢。
"} {"image_path": "images/519efa683cb69ccbc29610c4da891654.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
fun〔fʌn〕n. 有趣的事;玩笑;娱乐
funny〔ˈfʌni〕adj. 滑稽可笑的;古怪的
wind〔wind〕n. 风
windy〔'windi〕adj.有风的;风大的
特例:
fair〔feə〕adj. (头发)浅色的;金黄色的
fairy〔ˈfeəri〕n. 仙女
part〔pɑːt〕n. 部分;角色
party〔ˈpɑːti〕n. 政党,党派;聚会
pit〔pit〕n. 坑;深洼
pity 〔'piti〕n. 怜悯;同情
(29)-ry
brave〔breiv〕adj. 勇敢的
bravery〔'breivəri〕n. 勇敢,大胆
slave〔sleiv〕n. 奴隶
slavery〔'sleivəri〕n. 奴隶制度
(30)-ty
cruel〔kruəl〕adj. 残忍的,残酷的
cruelty〔'kruəlti〕n. 残忍,残酷
deform〔di'fɔ:m〕v. 损坏...的形状
deformity〔di'fɔ:miti〕n. 畸形;残废
safe〔seif〕adj. 安全的;平安的
safety 〔'seifti〕n. 安全;保险
特例:
proper〔ˈprɔpə〕adj.适当的;未来的;正确的
property〔ˈprɔpəti〕n.财产;财产权
"} {"image_path": "images/060b4c135f76109386900cf0f924c3a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
種 類$30^\\circ$Cのグリセリンに対する粘度率测定温度 通過時間比
$t_2/t_1$$t_3/t_1$$t_4/t_1$$t_5/t_1$
日石2號時計油0.537$-10^\\circ C$2.153.475.187.04
同 上1.39$-20^\\circ C$2.143.455.197.03
日石大型時計油1.82$-10^\\circ C$2123.465.197.02
流動パラフィン2.20$-10^\\circ C$2.143.485.187.05
日石大型時計油6.47$-20^\\circ C$2.133.465.177.06
流動パラフィン9.38$-20^\\circ C$2.153.495.197.03
2.143.475.187.04
"} {"image_path": "images/026883b07b722974c56fcc3f0be87f42.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Proj $P_{lab}$(GeV/c)$\\left\\langle n_{-}\\right\\rangle$BackwardData $\\left\\langle n_{-}\\right\\rangle$ExpectRFitRef.
π+7$0.65 \\pm 0.07$$0.30 \\pm 0.05$0.291.520.765
8$0.87 \\pm 0.02$$0.34\\pm 0.02$ 0.321.530.794,6
16$1.17 \\pm 0.06$$0.51 \\pm 0.04$0.481.301.174,7,8
18.5 $1.34 \\pm 0.03$ $0.54 \\pm 0.02$ 0.521.259
22 $1.17\\pm 0.10$ 1.3510
24 $1.43\\pm 0.01$ $0.52 \\pm 0.02$0.591.4113
100$2.40 \\pm 0.10$$0.97 \\pm 0.05$1.051.4811,12
$K^+$7.5$0.70 \\pm 0.03$0.6414
12.7$0.90 \\pm 0.01$$0.44 \\pm 0.01$0.421.510.915,15
16 $1.06 \\pm 0.02$ 1.0414,17
100 $2.32\\pm 0.16$ $0.91 \\pm 0.12$1.051.572.2812,17
"} {"image_path": "images/bdb9d7d41f0138a6e9d6661ddca69812.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
原料名称原料气的制造方法原 料 气 的 组 成
氢(H)$_{2}$一氧化碳(CO) 氮(N$_{2}$)二氧化碳$\\left(\\mathrm{CO}_{2}\\right)$甲烷$\\left(\\mathrm{CH}_{4}\\right)$ 硫化氢(H$_{2}$S) 氧(O$_{2}$)乙烷$$ \\text { (C }_{2} \\mathrm{H}_{5}\\text { ) } $$乙烯$$ \\text { (C }_{2} \\mathrm{H}_{4}\\text { ) } $$有机硫毫克/米$^{3}$
焦炭或无烟煤固定层间歇气化法:1.水煤气2.半水煤气45~5036~3738~4032~354~721~226~76~90.5~0.70.3~0.50.2~0.50.2~0.30.20.2~150~120
褐 煤沸腾层气化法:1.水煤气2.半水煤气4233.228.626.0 1.5719.126201.51.50.20.2~250~200
加压气化法39.515.31.032.48.00.40.22.50.7
烟 煤粉煤气化法33.353.01.512.00.2<0.1微量
褐 煤27.257.12.511.80.21.5微量
焦炉气部分氧化法55.7315.0722.955.660.59
"} {"image_path": "images/2abde18e4c067d8af2b04830b8caf2d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
#心/( 要有正确的目标 )自 制機 警主 動主 見( 多独朋友 )\\誠
控制感情用事,微妙的調整身與心的平衡。保持明確的判斷和普通常識。 要經常不斷的観察。要很快發現缺點所在, 並按需要情形加以改正或予以利用。 培養獨特思想及單獨作決定的能力。要有勝過別人的態望。 要有堅守正途及抗拒引誘的能力。集中意志在你的目標,並下決心達成這個目標。
"} {"image_path": "images/f9794df4d37846ff1cf38571820604be.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Added to3 ml of syrupFoundMeanRecoveredRecovery,per cent.
04·534·50
4·46
15·495·480·9898·0
5·46
26·396·481.9899·0
6·57
37·487·503·00100·0
7·52
48·448·473·9799·25
8.49
59.50 9·525·02100·4
9.54
"} {"image_path": "images/b7d067fc2f5e9944e0ac835b21a6a1cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
дOE3Д N 22026
19.004019.40дорохуск51002228.0941 418.50
20.10320.13Хелм51000137.3557.40
21.32121.33Рсиовсц7.1517.16
21.39 --Люблин5100065--6.11
"} {"image_path": "images/b2dbdbd2e8b7b800e71597b00164a742.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HYDROLYSIS OF $\\alpha$-GLYCERYL MONOANISOATE AT $90^{\\circ}$
Conen.$\\mathrm{HClO}_4$,mole/l. $h_{0}(25^{\\circ})$ Concn.estermole/1. $k_1 \\times 10^8,$$\\sec.^{-1}$$k_2 \\times 10^4,$$\\text{l. mole}^{-1}$$\\sec.^{-1}$
0.0432${}^a$0.040.0370.4210.98${}^a$
.172${}^a$.17.0371.64.95${}^a$
.472${}^a$.47.0374.48.95${}^a$
1.051.3.0378.9.85${}^a$
1.934.3.03415.7.81
1.944.3.033 15.7.81
1.924.2.03315.7.82
1.95${}^b$4.9${}^b$.033${}^b$19.9${}^b$1.02${}^b$
3.8433.02733.20.86
3.8734.02735.0.90
5.74360.02455.4.96
"} {"image_path": "images/99ecb4b950c06531155255c83847fc12.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
增长A. 为达到长远的目标
B. 在饱和的国内市场之外进行能力上的发展
C. 国外市场扩大及保护国内市场份额
D. 有效的全球竞争所需的规模和规模经济
技术A. 为开拓技术知识优势
B. 在技术缺乏地区获取技术
从产品差异化中扩大优势多国化和产品差异化之间强烈的相关关系,它可能表明母公司 (并购公司) 良好声誉的使用
政府政策A. 为绕过保护性关税、配额等
B. 为降低对出口的依赖性
汇率A. 国外收购和国内收购对相对成本的影响
B. 对返回国内的利润价值的影响
"} {"image_path": "images/2267cc3b9a9f965ac1b207e836309113.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组 别每头猪耗料(千克)每千克饲料价格(元)每头猪喂饲料费(元)每头猪毛收入(元)
对 照261.670.5123134.18175.40
试 验··238.700.4744128.34193.80
270.530.4587124.09198.05
"} {"image_path": "images/9ecbd7d4899de8741fd0c64da7aa2d53.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
蜗轮减速箱体材料HT200比例1:4
数量图号
制图(校 名)(班号)
审核
"} {"image_path": "images/192f3867181bc7d576847d4d854a9943.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别药 名性 味功 效剂 量
攻盛水母“ 下守!\"i电祛法大黄芒稍器海叶芦茎峰小子H谨苦寒辛成苦大寒世苦大寒苦寒苦寒有考葛寒有尊攻积导滞、泻火凉血泻热通便泻热导滞泻热通便、杀虫凉肝得水消肿、祛痰逐饮、杀虫攻乱泻水逐饮、消肿敷结 8~9克3~9克1.0~4.6克1~2.6克3~4克1.5~8充
火醉郁李蜂窗甘平芒甘平甘平润肠通便, 泌养补虚润肠通便、利水谁肿滑肠通使, 润肺补中、解再缓念9~15克3~9克9~30克
附肉 :干兴煨姜炮芸高以美晃茱英毕澄茄丁香小应香大空人热有离辛甘大热辛温辛温辛苦大热辛热辛苦大热辛温辛温辛温回阳教逆、温益脾督、散寒止患益气补督、温中止泻、散寒止痛,温中利阳、温肺化爽温中山呕、温里止病温中止海, 温经止血温中祛亲、1脘腹痛温中止角、降逆止呕、兼杀蛲虫温中敢寒, 行气止痛温中降逆, 温经止痛理气止确、 调中和胃 8~9克1~8克1.5~4,5克2~3片1.p~4.5克3~9克1.6~4,651.6~4,%克1.6~4.6克3~9克
中H!,快药网币循安朋码兴辛角石次时珍珠母天麻构族白蒺柴格衣代帮石覆壳全戴蜈蚣咸塞成寒成计寒E甘效寒个苦薇温ti平各寒威寒成辛平辛平有感辛温有牵平肝熄风, 清热明目平盯潜阳、请热明日平肝潜阳, 明日安神平肝炮风、通络止痛平肝烧风, 清热镇停平肝蔬肝、祛风明目养血平肝, 除热止干平肝止血、所镇降逆清热煌风, 通络祛风、平喘利尿熄风解痉, 化痰散结熄风解痉、祛风止庸祛风解痉、通络止痛0.9~1克15~30克16~80克3~9克9~16克3~9克6~9克0~80克3~9克3~9克1~3克1~3克
进石龙肾牡蛎琥玷辛寒甘涩平成涩微寒甘罕重镇安神、益肾灌闭、纳气平喘重镇安神, 平肝潜阳, 收敏固配重镇安神、平肝滞阳、收敏软坚重镇安神、利水化路15~30克16~30克16~30克1~1.6克
养心安神期酸枣仁柏了仁远志夜交藤合欢皮小麦秫米鸡子黄甘酸平甘辛平苦辛温甘平1平#平甘薇寒甘平养心安神, 益阴故开养心安神、润肠遗便宁心安神、祛痰消痈养心安神、养血通络养神活血、活血解郁养心安神和胃安神养心安神, 益阴补中 9~16克9~16克3~4.5克9~30克9~15克16~30克9~L6克1~2枚
"} {"image_path": "images/f825ab35ba513758cf7bd5dc6a6730e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1993年1994年1995年
国家财政预算收入 (亿克朗)-68.526$90.4^①$
为上年的%--131.9
国家财政预算支出 (亿克朗)-65.00587.627
为上年的%--134.8
其中:
教育经费支出 (亿克朗)-15.0416.36
占国家预算支出的比重 (%)-14.916.38
军事开支 (亿克朗)-3.224.193
占国家预算支出的比重 (%) -3.94.76
财政盈余 (亿克朗)-3.522.733
外债额 (亿美元)1.09-4.448
外汇和黄金储备 (亿美元) 3.3 (截至1993 年 8 月)4.455.88
"} {"image_path": "images/437c3399820c389402d4be06e5833492.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
试 样通 风备 注
二小时(R.C)四小时(R.C)六小时(R.C)
生 酱 油 (对照)1.0761.113 1.163R.C着色比率(原液同变化后的着色度比较)通风条件:40℃ 0.421/分
对照 + 0.1%抗坏血酸1.0511.1521.213
对照 + 1% $_{\"}$1.0381.0851.359
对照 + 0.025%脱氢抗坏血酸1.1001.343
对照 + 0.025%丙糖还原酮1.1181.210
"} {"image_path": "images/a34aa9e6fd2f268fadb6f9fe88b19b3a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Versuch 2Versuch 3
a)Ausschlagwürze2,952,66
0,640,54
b)rubig gekühlt2,31 2,12
0,490,44
C)Anstellwürze1,821,68
"} {"image_path": "images/b43b3858193e88c947ca407418515f3e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
发电机型号$\\Gamma\\text{B}\\phi-60-2^*$QFN-100-2$\\Gamma\\text{B}\\phi$-120-2QFQS-200-2**
制造厂前苏联新西伯利亚哈尔滨前苏联新西伯利亚哈尔滨
额定功率 (MW)60100120200
转子槽数28323232
冷风区2224
风区数热风区3335
合计5559
每槽通风孔数端部护环下22 (18)202022
端部20 (16)202024
合计42 (34)404046
端部56 (56)5656112
合计98 (90)%96158
每槽通风道数端部22 (18)202024
槽部28 (28)282856
合计50 (46)484880
"} {"image_path": "images/71bccac5c03c3d58bf88204165a3aea0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号电 性 能 参 数用 途
整 流 电 流(安)最大整流电流时的正向压降(伏)最高反向工作电压峰值(伏)最高反向电压下的反向电流(毫安)
2CZ11 A1<1100<0.5$~~~$整流$~~$(额定使用时需要加40厘米${ }^2$ × 1 毫米的 铝 散热片)
2CZ11 B1<1200<0.5
2CZ11 C1<1300<0.5
2CZ11 D1<1400<0.5
2CZ11 E1<1500<0.5
2CZ11 F1<1600<0.5
2CZ11 G1<1700<0.5
2CZ11 H1<1800<0.5
2CZ12 A3≤0.850≤1整流
2CZ12 B3≤0.8100≤1
2CZ12 C3≤0.8200≤1
2CZ12 D3≤0.8300≤1
2CZ12 E3≤0.8400≤1
2CZ12 F3≤0.8500≤1
2CZ12 G3≤0.8600≤1
"} {"image_path": "images/c90b8a8f4d85f085ed774922b449c06f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TOTAL ERROR VARIANCE $~~(×10^{-1})$
Excluded regionwidth = 0Excluded regionwidth = r/NExcluded regionwidth · 2r/N
N = 16N - 32N = 16N = 32N = 15N = 32
Blackman2.37.601.23.25.04.004
Ha ing1.18.31.35.07.03.02
Optimum.94.24.28.06.13.03
Rectangular2.501.252.181.171.881.09
"} {"image_path": "images/1f4e8695336c4dc9c6827b593abf0f1b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
首本十舊同興又縣里志 近四界至三 表京自師縣九治百至有二十里舊志九百里道里遠表光口彭十界交家里壽道至樂安縣志#卷之一九一舊里风光磨至直河尘十口至直路志 三縣交東五莊平五又成十三义 十界壽水里又支里直家里道里近表以所舊採志訪與尚現無所甚採出訪入以茲資準互之考間附
四縣入自本十十境博界縣里里又興首界至西界博塢至直興西白十縣交家里西
境臨界縣里二又淄首界至十二縣入自本五里十界臨店至十舖至直有凡淄南黄五又十十五二縣交邱里直里里
津定首界全一縣府入自本百境利武界縣里里百縣府交稱五直草五直一界利武頭里八橋里二十風津定村至十又至十
境壽界縣里二又光首界至十四縣入自本五東南界壽莊至三叉現光莊光東范十一採縣交縣交家里路訪界壽至十一舊三縣交家光里又李五邪鄧七路思十界壽莊縣至邪家里二家里二叉里凡光西皮壽五橋至十東南
又興首界至十一縣入自本七百境博界縣里西南縣交叉張一現淵界臨一郭路採縣淄里店由 界店至十一舊里十縣交率五得里邪交張五路志 府界博五里莊至十臨郭里二又 七凡興莊至又安二西南
里百一舊同與至三路志 近海十一又 表東北海十一叉里百口里百一舊有至三路志十至三橋里迂道至十莊至郡西里邪’海十又至二口繆五迂夫十莊至十凡里迂辛十又家里三營里又北五東北
同與近表西北興城縣交界博界博十一舊有凡興子雒十草五直之興里路志五三縣交家里橋里二利縣至二又里十界博坊至邪至十西北
"} {"image_path": "images/cfb603f3589e1f7671b0367fb9a3a392.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地 点1956年处 理降 雨 量( 毫米 )徑 流 量公升/公顷雨后土壤含水率%
日/月
西峯站3/7壠 作58.47,15724.19
平 作129,56822.74
7/8壠 作52.64,99622.85
平 作118,49418.10
天水站23/5壠 作10.63,79318.20
平 作88,11217.30
1/6壠 作34.448.424.40
平 作118,63920.70
5/6壠 作35.40 24.90
平 作105,78123.91
毅德站4/7壠 作44.414.90
平 作13.10
23/7壠 作42.816.63
平 作14.73
26/8壠 作28.813.83
平 作12.38
"} {"image_path": "images/5cb7e2bd8a22bc34365923c3ac6db276.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
部 门区 分内 容 分 类
(4)塑料加工、印刷、事务机器关系( 从略 )
(5)运输关系
(6)容器包装关系
(7)物流机械关系
#. 化学、冶金纤维(1)无机化学关系
(2)有机化学、药品关系
(3)高分子化学关系
(4)冶金关系
(5)纤维关系
Ⅳ. 建议(1)建设关系
Ⅴ. 机械工学(1)#夫、ポンプ关系
(2)要素、传动、管路系关系
(3)热机器、武器天系
Ⅵ. 物理 (1)计测、原子核工学关系
(2)光学、表示、音响关系
(3)制御、计算、自动#壳
(4)登录、信号关系 情报记忆关系
Ⅶ. 电气(1)电气部品、照相关系
(2)电气#子、半导体、印刷、回路关系
(3)电子、通信关系
(4)电力夫系
"} {"image_path": "images/08d22c0fb3629879971abd802d89f384.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
12345678
$ \\begin{aligned}& G_{d} A L O_{3} \\\\& G_{2} O_{3}=9.02 \\\\& A L_{2} O_{3}=2.42\\end{aligned} $$ \\begin{matrix} \\mathrm{PbO} / \\mathrm{PbF}_{2} \\\\ (\\mathrm{PbO}=57,6 \\\\ \\mathrm{PbF}_{2}=38,4) \\end{matrix} $H120017 суток 4x4x3 прозрачныекристаллыжелтова-того цвета[40]
$ \\begin{array}{l}\\mathrm{GdAlO}_{3}\\\\ 81,5 r\\mathrm{Gd}_{2}\\mathrm{O}_{3}\\\\ 22,7 r\\mathrm{Al}_{2}\\mathrm{O}_{3}\\end{array} $$ \\begin{gathered} \\mathrm{Bi}_{2} \\mathrm{O}_{3} / \\mathrm{B}_{2} \\mathrm{O}_{3} \\\\ \\left(642,5 r \\mathrm{Bi}_{2} \\mathrm{O}_{3}\\right. \\\\ \\left.+21,4 \\mathrm{~B}_{2} \\mathrm{O}_{3}\\right) \\end{gathered} $MO1340-8400,7-1,75x4x4KpHCTanIbITeMHO-KO-PHHeBoroUBeTa[41]
$ GdAlO_{3} $$\\mathrm{PbO} / \\mathrm{PbF}_{2}$MO 1260-1000,36x6x3[14]
$ \\begin{array}{c}G_{\\mathrm{d}} \\mathrm{AlO}_{3} \\\\81.5 r \\mathrm{Gd}_{2} \\mathrm{O}_{3} \\\\+22,3 r \\mathrm{Al}_{2} \\mathrm{O}_{3}\\end{array} $$ \\begin{array}{l}Bi_{2}O_{3}/ B_{2}O_{3}\\\\ +42,5r\\quad Bi_{2}O\\\\ 21,4\\quad B_{2}O_{3}\\end{array} $MO1340-9400,7 .[14]
$ \\begin{gathered} \\text { NdAlO }_{3} \\\\ \\left(\\mathrm{Nd}_{2} \\mathrm{O}_{3}=20,2 c\\right. \\\\ \\left.\\mathrm{Al}_{2} \\mathrm{O}_{3}=6.0 c\\right) \\end{gathered} $$ \\begin{gathered} \\mathrm{PbO} / \\mathrm{PbF}_{2} \\\\ \\mathrm{PbO}=100 \\mathrm{r} \\\\ \\mathrm{PbF}_{2}=100 \\mathrm{r} \\end{gathered} $MO1280-9100,7$ \\text { 6-7 mm }{ }^{3} $прозрачныекристаллыпурпурногоцве та[40]
$$ \\mathrm{PrAlO}_{3} \\\\ \\left(\\mathrm{Pr}_{2} \\mathrm{O}_{3}=\\mathrm{IO}_{\\mathrm{r}}\\right. \\\\ \\left.\\mathrm{Al}_{2} \\mathrm{O}_{3}=3 \\mathrm{r}\\right) $$$ \\begin{matrix} P b O / P b F_{2} \\\\ P b O=5 n r \\\\ P b F_{2}=50 r\\end{matrix} $MO1285-9603,5 3,5$ \\text { 2-3 mm }{ }^{3} $ прозрачныcкр ст ллы,большиcкристаллы cвключе ия и [40]
"} {"image_path": "images/fe290fa24b37c0d810475e46cd489e43.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ResponsePercentages
ChineseJapaneseNegroWhite
Lived in sameneighborhoodwith Negroes(Knew well13.920.611.2
(Know slightly7.535.47.5
:Didn't know49.726.018.2
(Not specified 0.6
(Total71.182.037.5
Not lived in same neighborhoodwith Negro28.818.060.9
Don't know (if has lived in sameneighborhood with Negroes0.9
No answer (questions 27-33)0.7
"} {"image_path": "images/09f1179b345d4af1027dd01d759440f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
样点号深度 (厘米)有机质 (%)全氮 (%)总磷 (%)备注
10—200. 960. 0521. 10bCK 为淡盐对照土样。
20—400. 780. 0220. 0126
20—200. 9900. 080
20—400. 4000. 118
30—201. 530. 090. 138
20—401. 21 0. 0990. 140
40—201. 760. 1270. 109
20—400. 980. 070. 146
CK0—200. 770. 0490. 123
20—400. 490. 0390. 138
50—201. 840. 1700. 169
20—401. 650. 1470. 075
"} {"image_path": "images/970c9dbad34a57d06729746a366d3cec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指 标每班一 班 内 各 个 小 时实 际 操 作小时平均
IVVIVIIVIII
共轧制钢坯(吨)9621051751131181544415994137.4 (108)
9166015912012316624144120148.5 (89)
轧钢机的实际操作时间(分)4205060605060406040
370206050 4560206055
"} {"image_path": "images/3959836cd32c470ce2466d64cb3153b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
($ thousands)Year 6Year 5
Assets
Current assets
Cash.................................$ 2,000$ 2,000
Receivables...........................25,000 20,000
Inventories (notes 1 and 2) ...............56,000 38,000
Prepaid expenses.......................1,0001,000
Total current assets.....................84,00061,000
Investment in associated companies..........14,00011,000
Property, plant, and equipment..............61,000 52,000
Less: Accumulated depreciation..............(23,000)(19,000)
Net property, plant, and equipment...........38,00033,000
Goodwill.................................2,000
Total assets..............................$138,000$105,000
Liabilities and Stockholders' Equity
Current liabilities
Notes payable to banks..................$ 16,000$ 14,000
Accounts payable and accruals............29,000 23,000
Income taxes payable....................7,000 2,000
Current portion of long-term debt (note 6) ....2,000 1,000
Total current liabilities.................54,000 40,000
Long-term debt (note 6)..................25,00015,200
Deferred income taxes (note 5).............3,600 2,000
Minority interest...........................1,400 800
Stockholders' equity (note 7)
Common stock, $5 par value.............. 5,500 5,000
Paid-in capital......................... 24,500 15,000
Retained earnings...................... 24,000 27,000
Total stockholders' equity.................54,000 47,000
Total liabilities and stockholders' equity........$138,000$105,000
"} {"image_path": "images/bc4fd30be35275230050a1e55968ba83.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
新 竹 廳廳 長里 見 義 正
警 務 課 長小 澤 武 憲
支 廳 長北 埔 高 比 良 三 登 志11 佐 藤 末 男
樹 杞 林 真 山 丑 三 郎11 高 比 良 三 登 志
新 埔别 府 兵 太 郎
中 港 佐 藤 末 男11 古 賀 文 也
南 庄藤 崎 濟 之 助
苗 栗 廳廳 長家 永 泰 吉 郎
警 務 課 長宇 野 英 種
支 廳 長三 叉 河 牟 田 真 雄9 時 枝 磯 吉
大 湖 飛 田 孫 兵 衛9 河 瀨 米 藏
後 壠高 木 紋 四 郎
大 甲 河 瀨 米 藏9 牟 田 真 雄
通 霄 時 枝 磯 吉9 飛 田 孫 兵 衛
臺 中 廳廳 長佐 藤 謙 太 郎
警 務 課 長中 田 # 久
支 廳 長葫 蘆 墩城 與 熊
束 勢 角井 野 邊 幸 如
沙 轆村 尾 重 昂
彰 化 廳廳 長小 松 吉 久
警 務 課 長高 井 瀧 三 郎
支 廳 長鹿 港村 田 豐 次 郎
北 斗隈 元 多 市 郎
員 林 久 保 八 十 七5 石 橋 正 光10 富 井 雛 次
二 林木 村 由 太 郎
"} {"image_path": "images/0f87967314e38e03fd502068cb4112cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
左 手符号距离(厘米)时间(小时)时间(小时)距离(厘米)符号右 手
1手伸向纸25.00.00610.006125.0手伸向复写纸1
2拿住纸0.00060.0006拿住复写纸2
3拿到身边25.00.00610.006125.0拿到身边3
"} {"image_path": "images/b1f5635add43cb42ef7cbe9e303efc64.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分类类别人数比例 (%)分类类别人数比例 (%)
英语水平高级3314.5国籍马来西亚10.44
中级7633.5瑞典10.44
初级11852母语汉语10.44
汉语水平(HSK)高等31.32韩语12956.83
中等4821.2日语4519.82
初等3414.98英语31.32
14262.6孟加拉语20.88
第二语言乌尔都语10.44塞尔维亚语10.44
铁鲁古语10.44瑞典语10.44
西班牙语10.44尼泊尔语20.88
日语20.88土耳其语31.32
印地语20.88印地语156.61
哈萨克语20.88雅库特语20.88
俄语93.97哈萨克语73.08
汉语8939.21蒙达里语20.88
英语8537.44泰米尔语10.44
3515.42铁鲁古语52.20
俄语83.52
"} {"image_path": "images/d49ab65cc5abbdcff0eff285c2d32e62.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompdIISpores from
A. nigerT. virideA. oryzae
a$50^a$10+
b+10+
c+++
d+++
e+++
f+++
g+++
h+++
i+++
JSSS
k+++
"} {"image_path": "images/883f795e218575144787b07b935d38db.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LayerDepth(cm) HydraulicConductivity(cm/sec)CompressibilityParameters
CKRRCR
Live Root Mat0-306.0E-05 to1.0E-04 0.51-0.960.1120.275-0.361
Typha Peat30-653.5E-06 to2.0E-050.92-1.290.064-0.0960.313-0.347
Sedge Peat65-1008.0E-06 to8.9E-051.33-1.79*****0.302-0.391
Red Woody Peat100-1408.5E-05 to3.1E-040.87-1.630.045-0.0860.429-0.619
"} {"image_path": "images/e1c40d940dd377aff6b3068f8ed18050.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1. 煙21. 效果41. 腰
2. 蹴る22. 公害42. 個人
3. 険しい23. 交換 43. 擦る
4. 喧嘩 24. 講義 44. 個性
5. 謙虛25. 高級 45. 固体
6. 現金 26. 合計 46. 国家
7. 検查27. 構造47. 小遣い
8. 現在28. 強盜48. 骨折
9. 現実29. 購入49. 小包
10. 研修30. 效率50. 異なる
11.謙讓31. 幸福51. 諺
12. 現象32. 項目52. 断る
13. 減少33. 水53. 粉
14. 謙遜34. 凍る54. 好み
15. 現代35. 誤解55. 零す
16. 建築36. 小型56. 毁れる
17. 検討37. 故郷57. 凝る
18. 原料38. 焦げる58. 転がる
19. 濃い39. 凍える 59. 殺す
20. 恋人 40.小雨60. 紺
"} {"image_path": "images/c2720aca1168d8bc4783c8692727d6c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年元|惠|孝
|侯。|沛故子,|仲兄|祖|高|濞,年。元|濞王初丑
#子。|祖|高|建,年。元|建|王
名|趙,於徙|王|陽|淮
#郡。爲
#八
"} {"image_path": "images/23fd02bbee54ab6879ff7e1543c1743d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测量组数前置反射器辐射温度计所测值前置吸收器仪表所测值G$\\varepsilon$$\\ddot{\\varepsilon}$
$t_r$,℃Vg,mVVb,mV
1 1300.4320.3560.8240.7880.792
1300.4320.3610.8360.802
1310.4380.3560.8150.775
1300.432 0.361 0.8360.802
21930.9720.7900.8130.7750.776
1930.9720.7900.8130.775
1940.9830.8000.8140.776
1940.9830.8000.8140.776
32001.0550.8640.8190.7820.780
2001.0550.8640.8190.782
2011.0670.8640.8100.772
2021.0820.8750.8190.782
43032.8272.2830.8080.7690.772
3042.8482.3040.8090.770
3042.8482.3040.8090.770
3942.8482.3240.8160.779
"} {"image_path": "images/b67268a213c880a101ec98edc40a7d33.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省别监狱男女别上年留监本 年 内 入
新之受執徒行刑拘役假释撤销缓刑撤销停消止滅執行事實受死刑之宣告罰金易科監禁其他
遼篤第 八 监 狱12214526476
32224
第 九 监 狱32733917
51
第 十 监 狱 751344052
3223
第 十 一 监 狱80182471
475
第 十 二 监 狱9710958
24
第 十 三 监 狱655027
141
第 十 四 监 狱 43399
43
"} {"image_path": "images/9a29da4a03464b4a11f8091d606b7a88.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
退 火 温 度保 温 时 间Carpenter牌 号直 流 最 大导 磁 率50 奥 时 的磁 通 密 度10000 高 斯 时 的
$B_r$$H_o$
$730^{\\circ}\\mathrm{C}/2$小时B-FM32801690066000.913
$730^{\\circ}\\mathrm{C}/2$小时C
$730^{\\circ}\\mathrm{C}/2$小时B37901750062000.865
$730^{\\circ}\\mathrm{C}/2$小时A42801778081000.960
$730^{\\circ}\\mathrm{C}/2$小时A-FM33801702078001.250
$840^{\\circ}\\mathrm{C}/2$小时B-FM49901666060000.600
$840^{\\circ}\\mathrm{C}/2$小时C47051650053000.600
$840^{\\circ}\\mathrm{C}/2$小时B46301690057000.611
$840^{\\circ}\\mathrm{C}/2$小时A45451694074000.292
$840^{\\circ}\\mathrm{C}/2$小时A-FM42401710074000.864
$950^{\\circ}\\mathrm{C}/2$小时B-FM71201650070000.480
$950^{\\circ}\\mathrm{C}/2$小时C52001660054000.540
$950^{\\circ}\\mathrm{C}/2$小时B62801700062000.515
$950^{\\circ}\\mathrm{C}/2$小时A75801670083000.574
$950^{\\circ}\\mathrm{C}/2$小时A-FM70501690068000.475
$1060^{\\circ}\\mathrm{C}/2$小时B-FM162501718086000.310
$1060^{\\circ}\\mathrm{C}/2$小时C177001660084000.506
$1060^{\\circ}\\mathrm{C}/2$小时B146001700082000.330
$1060^{\\circ}\\mathrm{C}/2$小时A80601728078000.480
$1060^{\\circ}\\mathrm{C}/2$小时A-FM80301712080300.444
"} {"image_path": "images/d2178cd635957d0023845fd3acc4343c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
脚号引脚符号引 脚 功 能电压/V备 注
52D124 位平板显示数据输入3.29 该集成电路为平板连接发送器芯片,采用56脚TSOP封装,电压为 3 ~3.6V,时钟频率为 31 ~68MHz。内部框图见图2-43
53GND接地,内核0
54D224 位平板显示数据输入3.29
55D324 位平板显示数据输入3.29
56D424 位平板显示数据输人3.29
"} {"image_path": "images/7a8054efc45b5e74f3981380dcc8653e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1.f11.l
2.e12.j
3.g13.a
4.h14.p
5.i15.s
6.d16.t
7.c17.o
8.m18.u
9.b19.r
10.k20.n
"} {"image_path": "images/99bc4c00c7b0996bcf42c71013aaf881.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
對 照 群脾臟物質(粉末)投與群
動物番號檢査日31323334353637383940
1930. 27/IV0000000.40.80.40
1/V000.8000.4000.40
60.800.40000.400.40.8
13002.40.80.40.40.400.40.4
1800.41.81.200.40.4000.4
2501.800.400.40.8
2/VI00.4
"} {"image_path": "images/fca513c82e0bd768d2ab733cc7beeae3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
um pesn#is,Rhin-us di-ft par-oo -##Amfterodamenfis968Geodeticuspro curia pofitus
Antverpianus909
Allexandrinus1200
Antiochenus1360
Argentinenfis891
Babylonicus1172
Bavarus924
Bremenfis934
Brielanus1060
Dordracenfis1050
Goefanus954
Grcecus antiquus1042
Hafnienfis934
Londinenfis968Hic per totam Angliam ufurpatur
Lovanienfis909
Mechlinenfis890
Middelburgenfis960
Norimbergenfis974
Parifienfis1055Regius didius.
Romanus antiquus1000
Samius1200
Toletanus867
Venetus1120ex Bonajuto Lorino.
Ziricceenfis988
"} {"image_path": "images/c9b5f03fca71c1254b4c46d3b014fd2f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
转刷直径/mm规 格有效长度$/ \\mathrm{mm}$转速/ (r/min)电机功率/kW叶片浸深/mm 动力效率$\\left./[\\mathrm{kg}()_2 /(\\mathrm{~kg} \\cdot \\mathrm{h})]\\right.$ 充氧能力$\\left./(\\mathrm{kg}()_{2} / \\mathrm{h})\\right.$
7001500705.515~251.86
70025007015~251.810
700双速高速300083~857.5150~2001.812
低速1.8
单速83~857.51.812
700双速高速450083~8511150~2001.817.5
低速1.8
单速83~85111.817.5
700双速高速600083~8515$ 150\\sim200 $1.823
低速1.8
单速83~85151.823
1000双速高速300072~7413/16200~3001.824
低速48~501.810
单速72~74151.824
"} {"image_path": "images/cbaf5adfbe806fcbc44ac6b8be490f3d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LJ$\\begin{array} {c}E_{p}-E_{LJ}^{\\mathrm{res}} \\\\ \\\\ \\mathrm{MeV} \\end{array}$$ \\begin{gathered} E_{LJ}^{\\mathrm{res}} \\\\ {[8,38]} \\\\ \\mathrm{MeV} \\end{gathered} $$\\begin{array} {c}E_{p}-E_{LJ}^{\\mathrm{res}} \\\\ \\\\ \\mathrm{MeV} \\end{array}$ $\\Gamma_{LJ}^{\\text{tot}}$[8,38]MeV
$g_{9/2}$-0.1014.92+0.150.25
$i_{11/2}$15.720.22
$j_15/2}$-0.1216.380.21
$d_{5/2}$-0.0616.45+0.180.31
$s_{1/2}$16.960.32
$g_{7/2}$-0.2517.430.29
$d_{3/2}$17.48+0.240.28
off-resonance-0.1018.00+0.14
"} {"image_path": "images/5df08acba43db06cccdd059b7070e3ba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1 RCTⅢ, 1
2 RCTⅢ, 2
3 RCTⅢ, 3
4 RCTⅢ, 4
5-8 RCT.....……
9 RCTⅢ, 5
IO RCT……
II RCTⅢ, 6
I2 RCTⅢ, 7
I3 RCT
I4 RCTcfr Ⅱ, 69
I5 RCT.......……
I6 RCTⅢ, 15
I7 RCTⅢ, 16
I8 RCT
I9 RCTⅢ, 17
"} {"image_path": "images/f1ce109c81d79a886e424fd19d35eadd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x$\\lambda = 1$$\\lambda = 5$
IIIIIIIV
3.500.0120.1450.0240.030
4.000.0070.1000.0170.020
4.500.0040.0700.0110.014
5.000.0030.0480.0090.011
5.500.0010.0320.0060.008
6.000.0000.0200.0040.006
7.000.0090.0000.002
8.000.000
"} {"image_path": "images/b3fda07861276f1ab0f4a8297821d041.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
國 家地 區時 期各季節播種的作物總稱(土名)
播 種收 穫
中 國福州附近,3月(第一次播種)6月
閩江流域6月(第二次播種)11月
印 度孟 加 拉4月$-$5月7月—9月aas.
5月11月aman.
6月 7月9月—10月Kharif
10月 11月5月rεbi
12月9月raydra
"} {"image_path": "images/6b1ffe81c6aa1fb9204b1dde0f14b463.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
原始状态组 织等温温度(℃) 形核速度($\\mathrm{mm}^{-3} \\cdot$$\\mathrm{s}^{-1}$)晶粒长大速度(mm/s)奥氏体形成的结束时间(s)起始晶粒尺寸
计算的$\\left(\\mu\\mathrm{m}^{2}\\right)$ 试验的($\\mu\\mathrm{m}^{2}$) (级)
退火 粒状珠光体(渗碳体微粒尺寸小于 $2.5 \\mu \\mathrm{m}$ )745$3 \\times 10^3$$1.5 \\times 10^{-4}$350225250 (9)
760$1.5 \\times 10^5$$1.2 \\times 10^{-3}$259080 (10~11)
770$3 \\times 10^7$$4 \\times 10^{-3}$21110 (13~14)
正火 薄片状珠光体片间距 $0.4 \\mu \\mathrm{m}$734 $3 \\times 10^3$$1.6 \\times 10^{-4}$120235250 (9)
760$1.1 \\times 10^7$$2.5 \\times 10^{-3}$2.81520 (12~13)
770$1.3 \\times 10^9$$1.2 \\times 10^{-2}$0.236 (14~15)
调质 回火索氏体(渗碳体微粒小于 $0.7 \\mu \\mathrm{m}$ )735$2 \\times 10^3$$2.5 \\times 10^{-4}$180350280 (9)
755 $1.2 \\times 10^7$$2.5 \\times 10^{-3}$61418 (12~13)
770$1 \\times 10^9$$1.5 \\times 10^{-2}$0.2547 (14~15)
淬火 回火索氏体渗碳体微粒$0.2 \\sim 0.5 \\mu \\mathrm{m}$735$2.5 \\times 10^3$$1.8 \\times 10^{-4}$120230260 (9)
760$1.3 \\times 10^7$$2.3 \\times 10^{-3}$51423 (12~13)
770$1.2+10^{12}$$1 \\times 10^{-2} $0.236 (14~15)
"} {"image_path": "images/a13f03ff1c8ce74e36130fb59fb60585.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
零件图号JSO 102-4数控刀具卡片使用设备
刀具名称镗刀TC-30
刀具编号T13003换刀方式自动程序编号
序号编号刀具名称规格数量备注
刀具组成17013960拉钉1
2390.140-5063050刀柄1
3391. 35-4063114M镗刀杆1
4448S-405628-11镗刀体1
52148C-33-1103精镗单元$\\phi$50~$\\phi$72mm1
6TRMR110304-21SIP刀片1
"} {"image_path": "images/feed47ffc44ce08b19e36dd1b51c9584.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CarbonContent,Wt. %Tensile Properties$FlexuralModulusP.s.i. \\times10^{-3}$ IzodImpact,Fppi$BrittleTemp.,^\\circ F$EnvironmentalStressCrack,Hours
Yield,P.s.i.UltimateElongation$ModulusP.s.i. \\times10^{-3}$
P.s.i.%
Base resin386753337001281259-118120
$2.7 \\% in situ$41705107613112899-118132
$2.7 \\% milled$31254421720 1341019$\\cdots$Failed at lessthan 100
$32 \\% in situ$540054003.33003163.90400
$32 \\%milled$3900390010212216 2.370Flexed to re-quired radius,specimensfailed: no test
"} {"image_path": "images/c30d3c82400b00d46b15eb0af63f3222.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
班级教学内容上课类型教学方法 测 验 成 绩
5 分4 分3 分2 分
人数占全班%人数占全班%人数占全班%人数占全班%
六丙沿海岛屿单一课︵复习︶幻灯473063.831429.7936.38
六乙沿海岛屿板图462758.691839.1312.18
六甲沿海岛屿单一课︵复习︶板图453271.111226.6712.12
参加测验人数
单一课︵复习︶
"} {"image_path": "images/ca0e8071c21664f60e96db534836bc3a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
土 鸭1 只约 1 200 克肥瘦肉70 克
50 克香 油30 克
芽 菜50 克菜 油700 克耗 80 克
榨 菜50 克
"} {"image_path": "images/74bbdbc54a7aaf13c432d2c6fc6b37ed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
耕作季节和耕作方法作物别从收播割种日到数播 种铲 蹚收 割打 场备注
季 节每垧所需籽种(斤)季节遍 数季节收割工具节季方法
非铲蹚作物小麦100谷雨一立夏100薅大草立秋镰刀立冬冰地石磙播种时踩格 子
燕麦100立夏一芒种100立秋白露镰刀立冬\"不上粮食时青割喂马
荞麦60小暑后75白露前镰刀立冬\"
大麦90谷雨一立夏100立秋前镰刀立冬\"以上作物都 有 垄
糜子70芒种一夏至30白露镰刀或芟刀立冬\"漫 撒
铲蹚作物谷子120立夏后8—10小满后铲一遍蹚1—2 遍白露后镰刀立冬\"
粘谷120\" \"\"\"\"镰刀立冬\"
黑豆150小满后40—45芒种铲二遍蹚1—2 遍霜降钝刀立冬冰地用畜踩
苏子135立夏1小满后铲二遍蹚二 遍秋分镰刀立冬磙子或用连枷
"} {"image_path": "images/2e55b4a5ea56bbc9ce8a1e72a8c14b8f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
洛阳纸贵 Luò yáng zhǐ guì paper is dear in Luoyang
西晋Xī JìnWestern Jin Dynasty左思Zuǒ SīZuo Si
文章wénzhāngwriting;article思考sikǎoto think over
zhǐpaper厕所cèsuǒtoilet
句子jùzisentence《三都赋》SāndūfùThree Capitals Rhapsody
描写miáoxiěto describeWèiKingdom of Wei
ShǔKingdom of ShuKingdom of Wu
抄写chāoxiěto copy结果jiéguǒas a result
涨价zhǎngjiàto rise in price根据gēnjùaccording to
成语chéngyǔidiom表示biǎoshìto express; to show
"} {"image_path": "images/b8ccfccf69b86074e5750c44023f100a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
混 合 物沸 点(℃)恒 沸 点(℃)恒沸物组成(重量%)上 层(重量%)下 层(重量%)
80.169.2591.1799.940.07
100.08.830.0699.93
正丁醇117.793.055.579.97.7
100.044.520.192.3
乙酸乙酯77.170.491.996.78.7
100.08.13.391.3
丙烯腈7870.685.196.87.3
100.014.33.292.7
甲 苯110.68579.899.950.06
100.020.20.0599.94
环己酮155.49538.492.02.3
100.061.68.097.7
"} {"image_path": "images/432748a6baf0cc801db3c327286b19fc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
文 件 名记录长度记 录 数 单位输出量(日、月、年)输出时间说明
"} {"image_path": "images/86ff530a6b7cfa4d45dd03c6e2877ec3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Name of theproject
Members of theproject
Did youpractice...1. recommending abook for young adults?YesNo
2. designing aquestionnaire?YesNo
3. inquiring andreplying in a seminar?YesNo
4. making a publicspeech in a seminar?YesNo
5. discussing a workplan for a readingclub?YesNo
6. writing a work plan?YesNo
Which task orprocedure do youfind difficult?
Which task orprocedure do youfeel good about?
Key wordssummarizing theproject
Your outcomes(Mark “ √ ” in the$\\square$)video $\\square$ sound recording $\\square$ PPT $\\square$word document $\\square$ pictures $\\square$ public speech $\\square$
Your participationand contribution(1. Very Good2. Satisfactory3. NeedsImprovement)Self-evaluationPeer-evaluationTeacher-evaluation
"} {"image_path": "images/58debb12c4f48b092af9cca0107f4c13.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
花生水稻棉花芝麻玉蜀黍緑豆黄黑豆
毂雨毂雨淸明毂雨後立夏夏至毂雨
立夏前毂雨後毂雨后立夏小芒前夏至後立夏
白露白露白露處暑處暑後處暑前白露前
秋分秋分寒露白露前白露處暑白露
"} {"image_path": "images/c57fa816835c14bf447040513f8b1893.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
作协江苏分会国家自然科学基金委员会数学处
1984-02-06 (1-334)1986-06-28 (3-165)
《灾害学》编辑部国家科委高技术计划联合办公室
1989-10-23 (5--078)1994-12-21 (8-518)
1994-12-26 (8-526)
八画《知识就是力量》编辑部
1960-09-13 (1-047)
青年团华东航空学院委员会
1956-05-01 (1-006)507 所四室
1989-07-24 (4-509)
《现代化》杂志编辑委员会
1992-01-01 (6-202)《宗教》编辑室
1992-10-10 (6-489)1993-01-08 (7-081)
《现代化》杂志编辑部经济日报社《科技潮》专刊编辑
1987-11-06 (4-065)1986-08-02 (3-217)
1987-11-12 (4-077)
欧美同学会编辑部“经济地理学理论丛书”编委
1985-10-21 (2-483)1990-0503 (5-238)
国务院经济法规研究中心九画
1985-10-04 (2-452)
国务院教育部学位委员会办公室《科技奖励工作》编辑部
1983-12-01 (1-263)1987-02-16 (3-403)
国防科工委党代表会科学出版社四编室
1992-06-04 (6-309)1988-10-05 (4-274)
国防科技大学应用物理系《美与当代人》编辑部
1997-09-07 (10-317)1985-08-17 (2-407)
国防科委学习组和常委总政治部组织部
1972-03-26 (1-129)1985-05-09 (2-285)
国家计划委员会办公厅《语文建设》杂志编辑部
1995-05-21 (9-217)1993-07-26 (7-281)
"} {"image_path": "images/6ea32e23376a52bcfc3c136184509584.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$I$000000
$II_a$11301150114511701135114515351145
b1530153015301535154015351170
$III_a$2360231523002300230523151170
b2730272026702695270027051540
c3100311030303035310030751155
$IV_a$3895385038353835387038601170
b4260425042354235423542451555
c4630461546304635464046301155
$V_a$--54005400-54001140
b--58005735-57701560
c--6190--6190
"} {"image_path": "images/f1595c5947d5cfa9255bd713ea08f2c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类 别排 列成 绩组 别七画十画十三画十六画
横行直行横行直行横行直行横行直行
五字组76.6483.7579.6182.9091.6584.7578.3477.25
六字组76.0683.1884.7382.8382.3076.9980.9673.13
七字组82.8681.1977.7883.9379.1476.2977.5975.68
八字组80.1778.9183.8382.7480.2877.8070.0871.50
均数78.9381.7382.49$^①$83.1083.3478.9676.7474.39
标准差27.61.912.880.484.933.394.042.22
机误0.5880.4070.640.1021.0500.7220.8610.473
两均数相差2.801.614.382.35
两均数相差机误0.7150.6211.2740.982
两均数相差相差机误3.922.593.442.39
机率99.59 : 0.4195.96 : 4.0498.98 : 1.0294.63 : 5.37
"} {"image_path": "images/ad9cc6deff075ccfe6e23867768a27da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国 家飞 机 型 号数 量(架)国 家飞 机 型 号数 量(架)
美国 (空军)(海军)KC-135 \"同温层油船\"619伊拉克安~125
KC-10A 59伊尔-781
KC-130T60阿根廷KC-7072
KA-6D59KC-130H2
俄罗斯米亚-460摩洛哥KC-7071
图16\"灌\"90KC-130H3
伊尔-78 \"迈达斯\"60印度尼西亚KC-130H2
英 国VCI0C.IK8澳大利亚KC-707S
VC10K2 / K3 / K414加拿大KC-707(CC-137)2
“三星”K1 / KCl / K29KC-130H11
“大力士”C.1K5西班牙KC-7072
法 国KC-135FR11KC-13OH5
“军旗”MP10南 非KC-7074
以色列KC-70713巴 西KC-7074
KC-130H3KC-130H2
沙特阿拉伯KE-3A8意大利KC-7074
KC-130H8荷 兰 KC-102
伊 朗KC-70714葡萄牙$ \\text{ KC-70}^{-} $4
委内瑞拉KC-7071秘 鲁$ \\text{ KC-70}^{-} $1
"} {"image_path": "images/8427d38cc0f04366fe621cec7104cb52.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地区试验点(个)稻田熟制面积(亩)种植比例(%) 亩产(kg)其中过吨粮
面 积亩 产占试验田(%)
湘北三熟田1.9832.71 006.61.79102790.7
8两熟田4.0767.39182.06100150.7
小计6.059473.85101363.6
湘中三熟田6.1764.110275.74111793.1
5两熟田3.4535.99331.85105653.5
小计9.629937.59110278.9
湘南三熟田2.2440.710302.06111992.2
3两熟田3.2759.39301.73104152.8
小计5.519713.791083.468.8
湘西三熟田1.0821.91 0010.97104490.1
8两熟田3.8678.19251.87100848.4
小计4.949422.841 020.357.5
全省三熟田11.4743.91021.510.561095.492.1
14两熟田14.6556.19267.511 025.551.3
合计小计26.1296818.07106669.2
"} {"image_path": "images/bd786e9f17a46fb88dede84e6a98dc10.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号根据电容温度系数分类标 称 电 容 量额定工作电压(V)无功功率( var)外 形 尺 寸(mm)重 量(g)工作温度范围(℃)
长(h)宽(B)高(H)
$KM\\small{-3}$H30$680\\mathrm{pF}\\sim0.22\\mathbf{\\mu F}$$160 \\sim 250$$0.5 \\sim 2.0$$4 \\sim 12$$4 \\sim 12$$3 \\sim 5$$0.5 \\sim 3.0$$ -60\\sim+125 $
$KM\\small{-4}$II33$16\\thicksim3600pF$$100 \\sim 250$$10 \\sim 40$$4 \\sim 12$$4 \\sim 12$$3 \\sim 5$$0.5 \\sim 3.0$$-60 \\sim+155$
M47
M75
M750
M1500
$KM\\small{-5}$II~33$75\\sim5600pF$$-60 \\sim+155$
M47
M75
M750
M1500
$KM\\small{-5}$H30$4700\\mathrm{pF}\\sim0.068\\mu\\mathbf{F}$$50 \\sim 160$$10 \\sim 40$$4 \\sim 14$$4 \\sim 14$$0.7 \\sim 5.0$$0.5 \\sim 3.0$$-60 \\sim+125$
$KM\\small{-5}$H90$0.015\\sim0.15\\mu F$$-60 \\sim+85$
$KM\\small{-6}$H90$0.1\\sim1.0\\mu F$35$ 0.5 \\sim 2.0 $$8 \\sim 14$$8 \\sim 18$6$1.5 \\sim 4.0$$-60 \\sim+85$
"} {"image_path": "images/8aea44f0ec83e7aad5f089286b030464.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编 号E12-103E12-104E12-105E12-106E12-107
项 目零星构件预制栏杆件预制吴王靠件预制水磨石零件
窗台板隔板及其他
单 位$\\mathbf{m}^3$10$\\mathbf{m}^2$$\\mathbf{m}^3$
类别名 称单位消耗量
人工人工.工日2.4011.639.74 0.900.47
材料锯材$\\mathbf{m}^3$0.0530.0380.0530.0830.026
圆钉kg0.200.880.760.860.03
地模费2.002.002.00-2.00
其他材料费0.530.390.550.780.28
机械机械费3.606.245.220.960.51
"} {"image_path": "images/19ed538df1301d3779384787748b9b43.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1. A.hardlyB.moreC.tooD. very
2. A. fooledB. stupid C.sillyD. foolish
3. A.other B.anotherC.othersD.so
4. A. humiliates B.embracesC.experiencesD. undertakes
5. A. supermarketsB. business C.shopsD. marketplace
6. A. hurts B.spoilsC. destroysD. reduces
7. A. blameB. irritateC.endangerD. offend
8. A.FortunatelyB. ObviouslyC.However D.Nevertheless
9. A. in B.forC.atD. against
10. A.misleadingB.misunderstanding
C. misguided D.misreading
11. A. pretendB.protestC. protectD. prevent
12. A. fed B. composedC.heldD.made
13. A. goes B.comesC. returnsD.gets
14. A.internationallyB. locallyC.nationallyD. provincially
15. A. for B.ofC.toD.in
16. A. enjoyed B.expectedC.sharedD. required
17. A. concealB. discoverC.forbidD. uncover
18. A. concerned B.referredC. cared D. filled
"} {"image_path": "images/1f06c56d93de146dfc7c094bbeb1a4d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariousloadingconditionsJointPD controllerAdaptive controller
Trajectory trackingTrajectory tracking
Maximumerror(degree)Maximumerror(mm) Finalpositionerror(degree)Maximumerror(degree)Maximumerror(mm) Finalpositionerror(degree)
(a)No load and10% error ininertia tensor10.0891.550.0250.0200.340.000
20.0981.710.0390.0200.360.004
30.3282.860.1210.0320.280.002
(b)One-half maximumload and 10% errorininertia tensor10.1212.110.0540.0450.780.014
20.1472.570.0780.0651.140.050
3 0.4804.190.2450.0960.830.077
(c)Maximum loadand 10% errorin inertia tensor10.1452.530.0820.0691.200.023
20.1853.230.1130.0691.220.041
3 0.6075.300.3600.0660.580.019
"} {"image_path": "images/86097826066507a0d1c779e9276594fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
非 独 立 机 构
行 政人 员工人合计科 技 人 员行 政人 员工人
其 他小 计小计中:大学毕业高 级中 级初 级 其他
4
1414
4
12
113
2112
66
4
116
"} {"image_path": "images/d5a1ac006f8c4b07c3dd256ed6cc100a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
J
Name
Address
HomeWork
MobileFax
Email
Birthday
Notes
"} {"image_path": "images/d7f4baabed673690f7056cc906b91b03.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
线 别区 段项 目北同蒲大秦线京包线大准线
大同至朔县大同至大石庄大同至沙城大同至集宁大同至丹洲营
设计现行现行设计设计
线路等级IIIIII
正线数目双线双线双线双线双线单线
限制坡度(‰)上行644444
下行6129999
牵引种类客运电力电力内燃内燃内燃内燃
货运电力电力电力内燃电力 电力(摘挂内燃)
机车类型客运韶山 ${ }_1$韶山${ }_4$DN${ }_4$东风${ }_4$东风${ }_4$东风${ }_4$
货运韶山${ }_1$韶山${ }_4$BK东风${ }_4$韶山${ }_3$ 韶山${ }_3$(摘挂东风${ }_4$)
货物列车牵引定数 (t)上行一般 4000单元 6000 一般 4000单元 6000部分 100003800直达 380028804000 近期 4000远期 6000.10000
下行4000235035002700 3500直达 40002350
到发线有效长度(m) 850部分车站1050、1700 1050部分 1700850880880 近期 850 预留远期 1050、1700
最小曲线半径(m)400400300303303400
闭塞方式自动自动自动自动自动半自动
"} {"image_path": "images/57a7dc2fa08c45e7e99bbc62bc11d2a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
商业贷款39640 . 153421 . 6+ 13781 . 557721 . 3+ 4285.5
农业贷款5352 . 48034 . 7+ 2682 . 39367 . 0+ 1346.5
其中乡镇企业贷款2424 . 04693 . 5+ 2269 . 56041 . 0+ 1341.6
个体集体贷款117 . 9109 . 2- 8 . 7142 . 9+ 33.7
固定资产贷款11763 . 217164 . 2+ 5401 . 622071 . 7+ 4892.4
其中开发贷款230 . 0+ 230 . 0670 . 0+ 440.0
专项贷款2004 . 92559 . 6+ 554 . 72831 . 9+ 272.3
4 . 保 险
投保资产额317667365407+ 47740+ 94179
保费收入10061581+ 575459586+ 790
其中: 国内10061581+ 5752371+ 790
国外2371.
赔 款241434+ 193459+ 25
其中: 國内国外241434+ 193459+ 25
"} {"image_path": "images/2bd9990aefb8cda9f3057588cc53eb47.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
自 然 村 名人 口
来自南雄的非 来 自 南雄的来 自 南 雄 的非 来 自 南 雄 的
现 居旅 香 港现 居旅 香 港
涌 头1284601
霄 边2369814
咸 西789340
锦 厦2927987
街 口2331735
新 民642290
沙 头44371104
厦 岗2351525
乌 沙2616879
上 沙1925544
夏 边1891512
上 角967230
上 近31090
镇 地 村10660
增 田607162
横 岗 头457352
新 农 村606150
蔡 屋 村677141
陈 屋 村838189
"} {"image_path": "images/447861ee0d183db5ebc1fc353bc0dfb5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
659Julep(一种威士忌冷饮)679 679Jacob(雅各)
680Cha Chafes(擦伤)
660Judges(士师记[《旧约》的一卷])681Shaft Shaft(箭杆)
682 682Shaven(刮过脸的)
683Chief Mohawk(莫霍克族酋长)
661Judged(裁决)
662Jejune(贫弱的)684 684Shaver(剃头刀)
663Judgement(判决书)685 685Joyful(十分欣喜)
664Judger(法官)686 686Chiffchaff(嚣鸟[鸣鸟的一种])
665Jewishly(犹太人的)
666Choo-Choo-Choo-(一种特殊的喘着粗气的蒸汽机)687 687Chafing(皮肤发炎)
688 688Shove off(开船)
689 689Shavable(可剃净的)
667Joshing(揶揄)690 690Chaps(皮裤)
668Jehoshaphat(约沙王[古犹大国王])691Chapter Chapter(章)
692Japan(日本)
669Shoe shop(鞋店)693Jobm Jobman(劳动者)
670Checks(支票)694Chopper(断电器)
671Checked(有格子花纹的)695Chapel(礼拜堂)
672Chicken(鸡肉)696Sheepish(绵羊般的)
673Checkmate(将死)697Chipping(雕刻)
674Checker(棋子)698Sheepfold(羊圈)
675Chuckle(低声轻笑)699Shopboy(小店员)
676Check shirt(格子衬衫)700Kis Kisses(吻)
677Checking(检验)701Cast(铸造)
678Chekhov(契诃夫)702Casino(娱乐场)
"} {"image_path": "images/93850baec51ebfaf0d8ed5a1bf12cf07.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
WhereWhat you can find
The Timeline Gallery• objects reflecting everyday life
• 4. ________ and ________ events and major localhappenings
"} {"image_path": "images/3ce135f44957c0825abac34b4623f2f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PhialRosinShowSpiritous
VialResinShewSpirituous
PincersReflectionShylySpinach
PinchersReflexionShily#Spinage
PlasterReticuleShynessSponge
PlaisterRedicule*ShinessSpunge
PlatRennetSiphonStanch
PlotRunnetSyphonStaunch
PommelRibbonSirupSterile
PummelRibandSyrupSteril
PotatoRotatorySkate#Strew
PotatoeRotaryScateStrow
PumpkinSanitaryScepticSurname
PompionSanatorySkepticSirname
QuoitScissorsSlylyThrash
CoitScissarsSlilyThresh
PurblindSereSlynessWoe
PoreblindSearSlinessWo
Rase$Sergeant^+$SolderWoful
RazeSerjeantSoderWoeful
"} {"image_path": "images/a61e21e8f554851ea600347e351c6737.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
银行名称,所在城市,所在州资产总额存款总额 联邦存款保险公司的处置成本关闭时转移给德州第一银行公司的资产 关闭时联邦存款保险公司保留的资产处置成本(%)
1 麦科普艾比利尼分行,艾比利尼,德克萨斯$ 189,363$ 195,463$ 73,229$ 156,192 $ 33,171 38.67
2 麦科普布林汉姆分行,布林汉姆,德克萨斯143,838135,9515,164131,80312,0353.59
3 麦科普达拉斯分行,达拉斯,德克萨斯6,973,8163,070,1111,610,2516,069,568904,24823.09
4 麦科普休斯顿分行,休斯顿,德克萨斯3,098,9892,241,548731,3032,749,518349,47023.60
5 麦科普敖德萨分行,敖德萨,德克萨斯322,582304,3577,056286,26336,3192.19
"} {"image_path": "images/fe7eece2060f4b8561bd7494a1caf189.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
課程名稱:中文名稱 : 用英語走向世界
英文名稱 :Learn English Global
授課年段 :二下學分總數 :2
課程屬性 :實作(實驗)及探索體驗
師資來源 :校內單科
課綱核心素養 :A自主行動 :A1.身心素質與自我精進,
B溝通互動 :B1.符號運用與溝通表達,
C社會參與 : C3.多元文化與國際理解,
學生圖像 :1-1閱讀悅讀,1-1-1運用閱讀策略,掌握閱讀理解的具體方法,從而訓練出獨立的閱讀能力,提高閱讀興趣。3溝通表達力,3-1-1運用有效且流暢的溝通方式達到溝通目的,促進溝通意願與人際互動及社會參與。3-2-1培養創意思維及藝術涵養,進而提昇學生的人文美學思维。
學習目標:1.增進聽說讀寫四大能力:透過原聲帶新聞主播影片,讓學生能接觸不同國家的英語口音,並且增進英語實用字彙與聽說能力;透過閱讀書本中之深度旅遊報導,認識世界各洲不同國家的景點,體驗文化風俗;透過旅遊實用語句翻譯練習,增進以英語書寫之表達能力;透過不同單元實景圖解,習得旅遊場景必備英語。2.提升表達能力:學生學習旅遊實用英語,進而以英語與國際友人進行溝通。3.練習合作學習:採取小組合作學習模式,演練並應用旅遊英語實用語句。4.建立文化理解:透過課程與講座,了解當地地景、歷史人文,引導學生對世界文化之差異提出對照與比較,並培養接納文化差異與處理文化衝擊的能力。5.強化環境保育:透過課程與講座,引導學生深入思考身為地球公民,如何在旅遊時,充分展現公民素養,尊重他國文化,保護人類歷史遺跡,使各個世代皆能有幸一睹人類歷史進程中的文化瑰寶。
教學大綱:週次/序單元 / 主題內容綱要
Introduction & GroupingA Broad Outline of the Optional Course
Chapter I (U1~3) Departure &Arrival1. Unit 1: Airport Check-In2. Unit 2: Security and Immigration3. Unit 3: Boarding and Taking Off
Chapter I (U4~6) Departure &Arrival1. Unit 4: On the Plane2. Unit 5: Claiming Baggage3. Unit 6: Where' s My Luggage?
Visiting Taoyuan InternationalAirport Chapter II (U1~3) In aHotelVisiting Taoyuan InternationalAirport(7:30~12:00A.M)1. Unit 1: Checking In2. Unit 2: Unpacking3. Unit 3: Getting Hotel Information
Chapter II (U4~5) In a HotelChapter III (U1) Eating in aRestaurant1. Unit 4: Having Problems with the Room2. Unit 5: Checking Out3. Unit 1: Choosing a Restaurant
Chapter III (U2~4) Eating in aRestaurant1. Unit 2: Getting a Table2. Unit 3: Ordering3. Unit 4: Wrong Order
Chapter III (U5) Eating in aRestaurant Chapter IV (U1~2)Transportation1. Unit 5: Ending the Meal2. Unit 1: Taking a Taxi3. Unit 2: Buying Train Tickets
Chapter IV (U3) TransportationChapter V (U1~2) Asking forDirections1. Unit 3: Renting a Car2. Unit 1: Location3. Unit 2: Parts of Town
Professional Corner ITopic: Go Traveling
Chapter V (U3~4) Asking forDirections1. Unit 3: Subway Directions2. Unit 4: Street Directions
十一Chapter VI (U1~4) Emergencies1. Unit 1: Car Trouble on the Freeway2. Unit 2: Lost on the Road
"} {"image_path": "images/65fa6d037388daf0de420bfe39aed067.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
频率百分比有效百分比累积百分比
有效应具有365766. 366. 666. 6
不应具有102118. 518. 685. 3
不清楚80914. 714. 7100. 0
共计548799. 4100. 0
缺失系统310. 6
总计5518100. 0
"} {"image_path": "images/2f0e87c230d33efd2a1ec83fcdbeda09.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$$\\text{ Table 1}$$Simulation results for $\\Delta=0.25, T=0.025$
k$\\begin{pmatrix} \\wedge U \\\\ x_{k|k} \\end{pmatrix}^1$$\\begin{pmatrix} \\wedge G \\\\ x_{k|k} \\end{pmatrix}^1$$\\begin{pmatrix} \\wedge K \\\\ x_{k|k} \\end{pmatrix}^1$$\\begin{pmatrix} \\wedge U \\\\ P_{k|k} \\end{pmatrix}^{11}$$\\begin{pmatrix} \\wedge G \\\\ P_{k|k} \\end{pmatrix}^{11}$$\\begin{pmatrix} \\wedge K \\\\ P_{k|k} \\end{pmatrix}^{11}$
10.02360.02360.01290.52850.52850.5238
20.33150.33150.32260.36240.36240.3585
30.30120.30110.27820.27820.27830.2751
40.16370.16360.12910.22610.22610.2235
50.19100.19100.17700.19000.19000.1879
60.18070.18060.16430.16320.16320.1613
70.16770.16770.15150.14220.14220.1406
80.20370.20370.18540.12530.12540.1239
90.19430.19420.17420.11140.11140.1101
"} {"image_path": "images/a247350ce4365164c85030d12958feb0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
硫 化 胶橡 胶MR 100$(百万牛顿/米^2)$干燥后 MR 100$(百万牛顿/米^2)$Δ MR 100
习 用酸 凝 固1.892.130.24
自然凝固1.812.010.20
生物凝固1.932.160.23
快速凝固1.842.050.21
热 胶 凝1.882.200.32
蒸汽凝固2.002.290.29
半高 效 硫 化 酸 凝 固2.502.170.17
自然凝固1.942.090.10
生物凝固1.912.080.17
快速凝固1.892.020.13
热 胶 凝1.892.150.26
蒸汽凝固1.852.080.23
无 硫 硫 化酸 凝 固1.811.940.13
自然凝固1.781.890.11
生物凝固1.821.950.13
快速凝固1.801.940.14
热 胶 凝1.812.060.25
蒸汽凝固1.822.030.21
过氧化物硫化酸 凝 固2.222.23 0.01
自然凝固2.282.240.00
生物凝固2.332.360.03
快速凝固1.952.010.06
热 胶 凝2.332.450.13
蒸汽凝固2.122.270.15
"} {"image_path": "images/3c523de3d9798b5e5f2d89444c8a2b8f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
V$~~~~~~S\\\\N2\\frac{1}{2}2NW\\\\~~~~~~S$3169 56$\\frac{[R]\\dot{\\triangledown}~~~0.8}{↘ [R]\\dot{\\triangledown}~0.0}$
2626.0#
91.22187
"} {"image_path": "images/5d54a649ae5d00ba06be92242f32da5a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
室内机显示灯被认为是故障的地方零件检查方法备 注
电源定时运转
制热时,蒸发器温度上升(68℃以上),或室内机风量小1.过滤网堵塞2.热敏电阻异常3.室内机控制基板4.室内风机 1.目视2.检查电阻值3.内板的室内风机端子处无电压4.检查零件是否破损、接触不良
CT 断线保护CT 线圈1.检查 CT 线圈是否导通
功率模块异常 功率模块控制信号接触不良检查连线是否接触不良
通信异常 1.连机线误配,接触不良2.室外机附近有噪声1.检查误配线、接触不良2.室外机附近有高频率机器
排气管温度超过120°C 1.漏气2.排气管热敏电阻异常 1.检查泄漏点(用试运转或应急运转固定压缩机频率数测定压力,根据压力判断)2.检查电阻值
电压不足1.电源容量不足2.电源瞬时停止1.检查专用回路、配线粗度2.再运转以确认动作
控制基板异常室内控制基板通电15s后报警为内板故障 只适用于 28、360DBPF
室外控制基板遥控开机20s后报警为外板故障
微 处 理 器 读 入EEPROM 数据有错误室内机 EEPROM 异常重新上电观察是否正常
室外机 EEPROM 异常重新上电观察是否正常
"} {"image_path": "images/b46a63e333876636192f9b51f31c2fe7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
矿床成因类型产 地$\\delta_{\\text{S}}^{34}\\%$$ \\begin{array}{l}S^{32}/ S^{34} \\\\ \\text{变化率}(\\%)\\end{array} $ 样品数目或分析次数
区 间平均值
热液改造—沉积矿床本区桐木沟锌铅矿$ -2.1\\sim+21.3 $+16.12~313
砂 卡 岩 型铜 铁 矿 床大 冶 铁 矿$+3.94 \\sim+6.6$0.277
皇台铜矿床$+0.3 \\sim+1.34$+0.820.92
袁家沟铜矿$+2.1 \\sim+4.2$+0.900.6315
小河口铜矿$ -1.01\\sim+2.91 $+0.940.3819
铜官山铜矿$+0.38 \\sim+4.45$0.467
(美)犹他州$ \\begin{array}{c}-8\\sim+3.8\\end{array} $1.1342
(加)Graigmont$ -9.8\\sim+0.5 $-3.315
斑 岩 型铜 钼 矿 床金堆城钼矿$+2.2 \\sim+11.26$+4.970.934
德 兴 铜 矿-1.8~+5.80.81163
(美)中西部(20个矿床)$ -6.3\\sim+4.1 $1
(美)内华达州耶灵顿$ -4.9\\sim-6.3 $1.1
(美)亚利桑那州$+3.6 \\sim-2.4$0.12
与火山作用有关的层状硫化物矿床(黄铁矿型铜矿)红 沟 铁 矿$+1.1 \\sim+8.9$0.77130
白银厂铜矿$+2.4 \\sim+7.3$0.488
铜 峪 铜 矿$-0.7 \\sim+2.7$+1.10.3437
(日)科罗科式铜矿$ -0.38\\sim+7.9 $0.8235
(苏)Levikha$ -4.2\\sim+1.6 $0.58
同生沉积矿 床大姚砂岩铜矿$ -15.2\\sim-31.4 $1.212
(苏)哲兹卡兹干砂岩铜矿$-40.2 \\sim+9.7$3.137
(美)密歌根州含铜页岩$-15.83 \\sim+31.26$4.884
(非)赞比亚铜矿$-15.8 \\sim+11.5$2.8200
鄂西沉积铜矿$-6.6 \\sim-17.9$-12.31.12
柞水银硐子多金属矿$+11.7 \\sim+17.9$+14.80.630
"} {"image_path": "images/1c279b4191d8ced0e39a70748cb773a7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号考核内容配分评分标准自评互评师评总评
1工作过程10能叙述工作流程(4分)
能正确填写工作单(6分)
2工、量具选择与使用10能正确选择合适的工、量具 (4分)
能正确使用工、量具(3分)
能对量具进行必要的校准 (3分)
3基本知识30能叙述制动系的作用(3分)
能叙述制动系的组成(6分)
能叙述制动系的类型(6分)
能叙述制动系的工作原理(9分)
能叙述制动系的要求 (6分)
4基本技能40能正确进行制动液检查(5分)
能正确进行制动系统检漏与管路检查 (5分)
能正确进行制动踏板调整(10分)
能正确进行制动系统空气排放 (10分)
能正确进行制动液更换 (10分)
5执行6S管理10 整理、整顿、清扫、清洁、安全、素养,视情节轻重扣5 ~ 10分
6合计100
学生对教学的要求与建议
对学生的综合评价与建议任课教师签名:
"} {"image_path": "images/53ecf9dab658fa988d2ff601abcab2d6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
元 素符 号元 素符 号
OsmiumOsSodiumNa
OxygenOStrontiumSr
PalladiumPdSulphurS
PhosphorusPTantalumTa
PlatinumPtTechnetiumTc
PlutoniumPuTelluriumTe
PoloniumPoTerbiumTb
PotassiumKThalliumTI
PraseodymiumPrThoriumTh
PromethiumPmThuliumTm
ProtactiniumPaTinSn
RadiumRaTitaniumTi
RadonRnTungstenW
RheniumRe(Wolfram)
RhodiumRhUraniumU
RubidiumRbVanadiumV
RutheniumRuXenonXe
SamariumSmYtterbiumYb
ScandiumScYttriumY
SeleniumSeZincZn
SiliconSiZirconiumZr
SilverAg
"} {"image_path": "images/95e876b644cf5be55f5be078d740c2de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
文 献交 会 经交 会 穴经 属 (晋)《甲乙经》(282)* (唐)《外台秘要》(752)* (宋)《铜人腧穴针灸图经》(1026)* (明)《针灸大成》(1601)* (明)《类经图翼》(1624)*备 注
手太阴(一穴)中府手太阴之会 手太阴之会(列入足太阴)足太阴之会 手足太阴之会手足太阴之会 《素问·气府论》王注作:“手足太阴之会”
手阳明(四穴)臂膳 手阳明络之会 手阳明络之会手阳明络 手 阳 明 络、手足太阳、阳维之会 手阳明络也络手少阳之脉会,一日手足太阳、阳维之会 《大成》据《聚英》而来
手阳明(四穴)肩髃 手阳明、蹻脉之会 手阳明、驕脉之会 手阳明、蹯脉之会 手阳明、蹻脉之会 手太阳、阳明、阳矚之会,一日 足 少 阳,阳矚之会 《聚英》作:足少阳、阳矯之会
手阳明(四穴)巨骨 手阳明、蟠脉之会 手阳明、腾脉之会 手阳明、蹻脉之会 手阳明、阳蹻之会 手阳明、阳矚之会
手阳明(四穴)迎香 手足阳明之会 手足阳明之会 手足阳明之会 手足阳明之会 手足阳明之会
足阳明(七穴)承泣 阳蹻,任脉、足阳明之会 阳蹻、任脉、足阳明之会 阳蹻,任脉、足阳明之会 阳蹻、任脉、足阳明之会 阳蹻,任脉、足阳明三脉之会
足阳明(七穴)巨髎 蹻脉、足阳明之会 蹻脉,足阳明之会 蹻脉、足阳明之会 手 足 阳 明、阳蹻脉之会 阳蹻.足阳明之会
足阳明(七穴)地仓 蹻脉、手足阳明之会 矯脉、手足阳明之会 蹻脉、手足阳明之会 手足阳明、阳蹻脉之会 手 足 阳 明、任脉、阳腾之会 《图翼》据《聚英》而来
足阳明(七穴)下关 足阳明、少阳之会 足阳明、少阳之会 足阳明、少阳之会 足阳明,少阳之会
足阳明(七穴)头维 足少阳、阳维之会 足少阳、阳明之会 足少阳、阳明之会 足少阳、阳明之会
足阳明(七穴)人迎 足阳明、少阳之会 足阳明、少阳之会 《大成》,《图翼》据《聚英》而来
足阳明(七穴)气冲冲脉所起冲脉所起 《大成》、《图翼》据《聚英》而来
足太阳(五穴)三阴交 足太阴,厥阴少阴之会 足太阴、厥阴、少阴之会 足太阴、厥阴少阴之会 足太阴、厥阴少阴之会 足太阴、厥阴、少阴之会
足太阴(五穴)冲门 足太阴、厥阴之会 足太阴、阴维之会 足太阴、厥阴之会 足太阴、厥阴之会
"} {"image_path": "images/38b6b2180e4169d5c8ada78f0bc1d352.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
g per 100 mlCaloriesper100mlmg per 100 ml
Type of milkProteinFatCarbohydrateIronSodiumPotassiumCalciumPhosphorus
Cow's milk3.43.74.8 66(277kj)0.105016012095
Breast milk1.23.87.0 67(287kj)0.1515553315
Proprietary milksprepared for feeding
SMA 1.5cow's milkprotein 3.6a blend contain-ing vegetableoils 7.2lactose 65(273kj)1.2725745644
Cow and Gate VFormula 1.85cow's milkprotein 3.25a blend ofvegetable oils 7.2lactose 65(272kJ)0.6526876450
Cow and GateBabymilk Plus 1.85cow's milkprotein 3.45butterfat 7.1lactose 65(272kJ)0.6526856450
OstermilkComplete Formula 1.7cow's milkprotein 2.6butterfat 8.6maltodextrinand lactose 65(273kJ)0.926716150
"} {"image_path": "images/b295bf003c305400313af8b9ed58a8c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
车型数据项目长江 750 系列长江 750G 系列长江 750J 系列长江 750Z 系列
启动方式脚蹬启动脚蹬、电启动脚蹬、电启动脚蹬、电启动
化油器型号 QHQ-15(K-37) QHQ-15(K-37) QHQ-15(K-37) QHQ-15(K-37)
怠速转速 750±75r/min 750±75r/min 750±75r/min 750±75r/min
空气滤清器复式复式复式复式
离合器型式双片干式双片干式双片干式双片干式
变速器型式四速式,脚变速踏板及手变速杆四速式,脚变速踏板及手变速杆四速式,脚变速踏板及手变速杆四速式,脚变速踏板及手变速杆
后传动型式万向节式轴传动万向节式轴传动万向节式轴传动万向节式轴传动
变速器速比1 挡:3.63 挡:1.71 挡:3.63 挡:1.71 挡:3.63 挡:1.71 挡:3.63 挡:1.7
2 挡:2.291.3:4挡2 挡:2.291.3:4挡2 挡:2.291.3:4挡2 挡:2.291.3:4挡
后传动速比4.624.624.624.62
总传动比1 挡:16.637.85:3挡1 挡:16.637.85:3挡1 挡:16.637.85:3挡1 档:16.637.85:3挡
2 档:10.556.01:4挡2 挡:10.556.01:4挡2 挡:10.556.01:4挡2 挡:10.556.01:4挡
前减震器弹簧液压减震弹簧液压减震弹簧液压减震弹簧液压减震
后减震器弹簧减震弹簧液压减震弹簧液压减震
轮胎尺寸3.75-193.75-193.75-193.75-19
轮胎充气压力前:147kPa前:147kPa前:147kPa245kPa
轮胎充气压力后:245kPa后:245kPa后:245kPa243kPa
"} {"image_path": "images/cbe0599671d2aa43043aa075c7e0d6dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
剖面类型完整的不 完 整 的完整的不 完 整 的
剖面名称水云母一高岭石一三水铝石水云母一高岭石水云母崩解作用水云母一高岭石一三水铝石水云母一高岭石水云母崩解作用
带号风化壳地球化学带风 化 壳 矿 物 带风 化 壳 矿 物 带
4最终水解作用赭石—高岭石—三水铝石, 往往含残余石英赭石—三水铝石 (一水软铝石): 赭石—三水铝石— —水 软 铝石, 具有高岭石、赭石一 高岭石一三水铝石
3水解作用(不完全)赭石一高岭石楮石一高岭石赭石一高岭石赭石一高岭石
2淋滤作用高岭石一水云母高岭石一水云母具高岭石的水云母水云母水云母赭石一水云母
1机械破碎和崩解, 其初期沿裂缝的水化、淋滤和氧化作用母岩矿物, 沿裂缝的水化、淋滤和氧化新鲜岩石矿物, 水云母和针铁矿细脉母岩矿物, 沿裂缝的水化、淋滤和氧化新鲜岩石矿物; 水云母和针铁矿细脉
0原岩类型花 岗 质 岩 石千 枚 片 岩
"} {"image_path": "images/a7b1b4e06c72361b576bb108ab511f01.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号矿 区 名 称位 置充 水 因 素矿区总涌水量(立方米/时)最大— 一般年总排水量(万立方米)资 料 来 源
28黔怀煤矿黔阳、怀化$P_{1}$灰岩水600—30193 湖南省煤炭资料汇编总册
29麻溪铺煤矿沅陵$P_{1}$灰岩水390—210236同上
30猫山一狮子山煤矿辰溪$P_{1}$灰岩水3000—11501549同上
31太平寺煤矿双峰$C_{1}$砂岩水177—5081同上
32资兴煤矿资兴$T_{3}—J_{1}砂岩水$2575—7831211同上
33观音滩煤矿祁阳$J_{1—2}砂岩水$770—640598同上
34香花坝煤矿祁阳$J_{1—2}砂岩水$381—25127同上
35冯家冲煤矿零陵$J_{1—2}砂岩水$134—6376同上
36羊耳山煤矿澧县$P_{1}$灰岩水1848—450803同上
37青峰煤矿石门$P_{1}$灰岩水1650—620845同上
合 计: 37个矿区57535—3158235263
"} {"image_path": "images/4ff4b89332c839270ba6aaef61d6ca67.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No. ofsubjectsNo. wingfanning Initiatingflight $(\\%)^{a}$ Flyingupwind $(\\%)$$ \\begin{array}{l}\\text { Contacting } \\\\~~ \\text { lure }(\\%)\\end{array} $ Attempting tocopulate at lure $(\\%)$
Females23$21*^b$100 *100 *100 *90.5*
10 ng Ald836315.9 $\\dagger ^c$6.3 $\\dagger $3.2 $\\dagger $0 $\\dagger $
25 ng Ald353271.9*$\\dagger $68.8*$\\dagger $56.3*$\\dagger $0 $\\dagger $
50 ng Ald161478.6*78.6*57.1 $\\dagger $0 $\\dagger $
10 ng Ald +
5 ng Ac211662.5*$\\dagger $43.7*$\\dagger $25.0 $\\dagger $0 $\\dagger $
10 ng Ac474185.4*80.5*$\\dagger $48.8*$\\dagger $2.4 $\\dagger $
20 ng Ac 272387.0*69.6*$\\dagger $39.1*$\\dagger $4.3 $\\dagger $
35 ng Ac161553.3*$\\dagger $46.7*$\\dagger $26.7*$\\dagger $0 $\\dagger $
10 ng Ald +
5 ng OH151070.0*$\\dagger $50.0*$\\dagger $30.0 $\\dagger $0 $\\dagger $
15 ng OH151163.6*$\\dagger $36.4*$\\dagger $18.2 $\\dagger $0 $\\dagger $
35 ng OH382986.2*$\\dagger $65.5*$\\dagger $51.7*$\\dagger $3.4 $\\dagger $
50 ng OH302892.9*67.9*$\\dagger $53.6*$\\dagger $0 $\\dagger $
75 ng OH212065.0*$\\dagger $50.0*$\\dagger $30.0*$\\dagger $0 $\\dagger $
10 ng Ald +
5 ng Ac + 5 ng ОH 252185.7*81.0*$\\dagger $61.9*$\\dagger $19.0*$\\dagger $
10 ng Ac + 15 ng ОH 181478.6*71.4*$\\dagger $35.7*$\\dagger $7.1 $\\dagger$
10 ng Ac + 35 ng ОH 413694.4*91.7*$\\dagger $69.7*$\\dagger $2.8 $\\dagger $
10 ng Ac + 50 ng ОH 242295.5*95.5*63.6*$\\dagger $4.5 $\\dagger $
10 ng Ac + 75 ng ОH 14 1266.7*25.0 $\\dagger $25.0 $\\dagger $0 $\\dagger $
20 ng Ac + 35 ng ОH 211888.9*62.5*$\\dagger $16.7 $\\dagger $0 $\\dagger $
20 ng Ac + 50 ng ОH 201687.5*56.3*$\\dagger $12.5 $\\dagger $0 $\\dagger $
20 ng Ac + 75 ng ОH 151250.0*$\\dagger $25.0 $\\dagger $0 $\\dagger $0 $\\dagger $
"} {"image_path": "images/1f6b3324a4891a888479d023c2b8ec56.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IronComposition (appm)
HCNOPSCITiCrMnNiCuAsSbSnSeTeSiAl
ZoneRefined-351000260355-<100<100-<1000<100-----<200<1000
Vacuummelted100302016003630 --100100100100<15<45<50<10<5<200-
"} {"image_path": "images/de88d598700cf105a3951bf005d4298a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1953/54$ 1961/62 $$1962 / 63$1963/64$1964 / 65$1965/66$1966 / 67$$1967 / 68$1972*1975*
Wheat2664257339112998373341053420383642414875
Barley252149745773659974048062858692421000811331
Oats2821182217471438132512131102136116001700
Potatoes8260625866586576695274586476709167976866
Raw sugar783 800723 778977891 8929209831111
"} {"image_path": "images/bbcda0b763947cb1670b347f545a45d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品种Variety根产量 Root yield含糖率 Sugar content产糖量 Sugar yield
$t/hm^2$与 CK 比 (%)Comp. with CK%与 CK 比 (±)Difference CK$t/hm^2$与 CK 比 (%)Comp. with CK
KWS 915339.8594.615.04-2.015.9983.4
KWS 507541.5098.616.01-1.046.6492.5
SES 91537.2688.516.90-0.156.3087.7
SES 91242.44100.815.87-1.186.7493.9
SES 91335.7885.017.210.166.1685.8
CK 200442.11100.017.0507.18100.0
"} {"image_path": "images/e15098f648eccdaa790dbbae31528891.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
公 司 员 工 基
员工编号↵员 工 姓名↵性别 ↵#年龄↵所 属 部门↵职位↵
NO.001↵顾东↵男↵28↵拖动调整列宽技术部↵经理↵
NO.002↵邓欣↵女↵29↵行政部秘书
NO.003↵张海↵男↵32↵人 力 资源部↵经理↵
No.004↵王舟↵男↵29↵技术部↵主管↵
"} {"image_path": "images/c3cfb9acaaafeef8a29cb06ccb3a6537.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
在过去 员个 月,您是否有以下症状?没有少于 员次在缘次 中少于半数大约半数多于半数几乎每次症状评分
#是否经常感到憋尿困难?
#是否经常有尿线变细现象?
#是否经常需要用力及使劲才能开始排尿?
没有员次圆次猿欠源次缘次或以上
#从入睡到早起一般需要起来排尿几次?
症状计分的总评分 越
因排尿的症状而影响了生活质量
高兴满意大致满意还可以不太满意苦恼很糟
"} {"image_path": "images/81bae3fedf1a0975aae34780b0824df2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
100100100
10055100
80
55
100100100
"} {"image_path": "images/22d77f6319950f8696c5f6316b233a00.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
kLength oflexformResponsaNTIS
$\\text{N}_1$No. oflexforms $\\text{N}_2$No. of bitsfor lexforms $\\text{N}_3$No. of bitsfor conumbers $\\text{N}_1$No. oflexforms $\\text{N}_2$No. of bitsfor lexforms $\\text{N}_3$No. of bitsfor conumbers
13242497272
22283648342016025602400
31849443764067812953108028490
4794025408022232028028966478456
5203678146806924784671186840158814
627884133843210874765920284160230880
71944610889768556244567255752200948
8505332339224759714689395271932
Total827703867608314961720892944080771992
Additionalsavings18.6%18.2%
"} {"image_path": "images/eed1b903807dd8a68cf828ab73b6209b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
大区省区市邮政编码大区省区市邮政编码
北京104 区湖南41、42
上海20湖北43、44
天津30河南45、46、47
重庆405 区 广东51、52
0 区内蒙古01、02广西53、54
山西03、04贵州55、56
河北05、06、07海南57
1 区辽宁11、126 区四川61、62、63、64
吉林13云南65、66、67
黑龙江15、167 区陕西71、72
2 区江苏21、22甘肃73、74
安徽23、24宁夏75
山东25、26、278 区青海81、82
3 区浙江31、32新疆83、84
江西33、34西藏85
福建35、369 区台湾暂空
"} {"image_path": "images/9ba5243b5efc188fba9e095be5c959bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Type of indexcase0-45-910-14Total
No.tested$\\begin{array}{c}\\%\\\\ \\text{reactors}\\end{array}$ No.tested$\\begin{array}{c}\\%\\\\ \\text{reactors}\\end{array}$ No.tested$\\begin{array}{c}\\%\\\\ \\text{reactors}\\end{array}$contactstested
Sputum-negative393136333339108
Sputum-positive117561126910375332
All index cases .. 156491486013668440
"} {"image_path": "images/949019a3abff142effc6d404d1196a82.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
玻璃原片厚度空气间隔宽度方形最大尺寸矩形最大尺寸
36、9、121250×12501200×1800
461200x2000
9 1300×13001300×2000
121300×2200
5 61700×17001300×2300
91800×18001800×2600
122100×21001800×3000
662000×20001400×2400
9 2100x21002000×3000
122400×24002400×3000
"} {"image_path": "images/4046bfcd185716e74944ef9262d4c227.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Num.Fig.regol.Sem.diam.Lato. Sem.d. Lato
3Triang. IOOOI73247
4#uadr.IOOOI4I47IO
5Pentag.IOOOII752327
6Effag.IOOOIOOOII
7Eptag.IOOO867I5I3
78Ottag.IOOO765I3IO
9Ennag.IOOO684I6II
IODecag.IOOO6I885
IIVndec.IOOO56374
I2Duodec.IOOO5I729I5
I3Tridec.IOOO47823II
I4Tetrad.IOOO44494
I5Quindec.IOOO4I5229
"} {"image_path": "images/0486c3a7bada44edccf88dc782812728.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
压 力 峰 値炮弹发数观察人数鼓膜充血鼓膜出血鼓膜上皮损伤小穿孔
$\\mathrm{kg} / \\mathrm{cm}^{2}$dB(分贝)
0.018~0.026159.0~162.0120365111
0.028~0.042163.2~166.5304
0.045167.01201012
0.057169.21312114
0.072171.012323
12042
0.11175.013
54643
60624
0.14177.0124
0.18179.012581
0.20~0.24180.0~181.51221331
0.20~0.30180.1~183.513193234
0.27~0.39182.7~185.918131
"} {"image_path": "images/9fd2c59e0f4a96553af7f2e5c0095493.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
安危谁与共锦屏留海浪长征老战士
风雨忆同舟法雨飞天花文革病诗人
(周恩来挽张淮南)(原有为挽谭嗣同)(董必武挽谢觉哉)
一身不自保清芬挹桃李衡岳注灵魂
千载有英名珠雨唤师尊中原落大星
(吴芝瑛挽秋瑾)(挽李元庆)(缪宅生挽宋教仁)
悲哉秋之为气正倚济时唐郭李不幸周郎竟短命
惨矣谨可为怀竟嗟无命汉关张早知李靖是英雄
(挽秋瑾)(黎元洪挽蔡萼,黄兴)(小凤仙挽蔡锷)
复生不复生矣警座文章传四海试问如君人有几
有为安有为哉新民德业播千秋悲伤比公我独深
(康有为挽谭嗣同](俞平伯挽茅盾)(郝可名挽李琪)
泰山凭海先接日返国空余挂墓剑白雪阳春称雅范
寒梅杖节最凌风斫泥难觅运千斤高山流水悼幽魂
(寒江挽周恩来)(郭沫若挽鲁迅)(李孜,沈大安挽李元庆)
丹心共见燕山夜神交未见憾君逝三字沉冤千古恨
健笔终存天地间有缘相逢地府潭一盒忠骨万年春
(杨述挽邓拓)(侯宝林挽刘仲容)(唐棣华挽邓拓)
侠骨柔肠横眉俯首谤满天下泪满天下
胸中海岳笔底风雷创造共和再造共和
(钱昌照挽鲁迅)(于右任挽黄兴)
东至齐鲁勉维大业奋战中原功在史册
西望关陕痛失元戎壮志未竟我来复仇
(陈毅挽叶挺)(贺龙挽彭雪枫)
风流文采, 永在银幕上钟宝何存于今不倒三家店
音容笑貌, 常驻人民心舞台试看终古长传一曲歌
"} {"image_path": "images/0b3629c190c21b931f93ec40e2d03793.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
代码名称
0农林(牧)渔业产品;中药
01种植业产品
011谷物、杂粮等及其种子
0111小麦及混合麦
01111小麦
01111010冬小麦
01111011白色硬质冬小麦
01111012白色软质冬小麦
.....................
"} {"image_path": "images/43b0e5bb043b18525ff84bf0b3830e38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
主管部门编号收 费 项 目计 算单 位收费标准( 元 )备 注
废钢船登记费
1登记注册艘/次80
2卫生检疫艘/次300
3动植物检疫艘/次300
在港期租船证明费30
海事调解费损失金额不超过1%
海事签证费100
十一海船登记费 见交通部( 86 ) 交水监字764号文件
1所有权登记
( 1 )所有权登记净 吨0.50基数200元超过一万净吨的, 超过部分减半收费。
( 2 )临时登记200
2抵押登记
( 1 )抵押登记抵押金额1‰
( 2 )租赁登记租赁金额2‰
3变更或恢复登记50指船舶登记项目变更或恢复船舶所有权登记
"} {"image_path": "images/512cd1210529ef77e45b27879e73a019.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号工作内容工作要求负责部门负责人计划完成日期实际完成日期
"} {"image_path": "images/cece3a7543bb8c1f5a5fe5cedc84eba6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
丿/
"} {"image_path": "images/05d62937330e1c02bcd384a121ef1484.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DTV判断值
6对二甲苯以及对苯二甲酸资源下游的综合利用86.7185.777437.807.86
8高分子材料的功能化和高性能化85.8084.877281.967.70
10己内酰胺产业链的完善83.7282.826933.577.33
12苯资源下游综合利用83.1182.216831.847.22
14精制石油化工产品产业链82.5681.666742.057.12
"} {"image_path": "images/ab300e49742221474e3f99f5e44c1f07.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
定额号项 目 名 称 及 规 格单位基 价(元)其 中主材用量(公斤)
人工费材料费机械费主材费
二十、超 细 玻 璃 棉 安 装工作内容: 运料、拆包、铺絮、安装、捆铁线、修理找平。
管道超细玻璃棉安装
13 —391# 57mm 以下 $m^3$416.689.607.480.00399.6060.00
13 —392133$m^3$411.975.896.480.00399.6060.00
13 —393426$m^3$413.355.608.150.00399.6060.00
13 —394426mm 以上$m^3$412.655.347.710.00399.6060.00
设备超细玻璃棉安装
13 —395立式$m^3$430.924.8126.510.00399.6060.00
13 —396卧式$m^3$432.846.7326.510.00399.6060.00
13 —397球罐$m^3$447.617.3140.700.00399.6060.00
"} {"image_path": "images/9680092cf6c9e6ef6beb6f4dec6ccb3c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
密度,克/厘米³分子磁化率 ${}^{2)}$电 磁单 位 电 阻 率欧姆一厘米 揮 发 率文 献
2.36[5,10,11]
2.85絕緣体[5,10,11,12]
2.80沸点~2000℃[5,9,10,12]
3.64; 3.67 (X射綫)沸点~2500℃[5,9,11,12,13]
4.25; 4.33( $\\mathrm{X}$ 射綫)-42絕緣体沸点~3000℃蒸气压=1.1 X$10^{-6}$ 大气压,1620℃[5,9,11,12,13,14]
2.90[10,15]
$\\mathrm{d}_{4}^{25}=3.82$[12,15,16]
$$ d_{4}^{25}=4.85; 5.01 $$(X射綫)-19[5,12,15,16]
5.93214090.$•10^{-6}$ 蒸气压~$10^{-7}$大气压,1700℃[5,17]
5.32200400.$•10^{-6}$ 蒸气压 $\\sim 10^{-3}$ 毫米, $1840^{\\circ} \\mathrm{C}$[5,17]
5.19(X射綫)2520>1000蒸气压 $\\sim 10^{-3}$ 毫米, $1900^{\\circ} \\mathrm{C}$[5,17]
$\\mathrm{d}_{4}^{25}=5.34$5550[5,12,15]
$ d_{0}^{0}=5.729 $1620[15,16]
9.57 (X射綫)非順磁性$<10^{-6}$ 蒸气压 $<10^{-7}$ 大气压,1700℃[5,18]
7.88 (X射綫)非順磁性$10^{-4}$- $10^{-3}$ 蒸气压 $<10^{-7}$ 大气压, $1700^{\\circ} \\mathrm{C}$[5,18,20]
7.78 (X射綫)非順磁性$10^{-4}$- $10^{-3}$ 蒸气压 $<10^{-7}$ 大气压,1700℃[5,18]
7.36 (X射綫)非順磁性絕緣体[5,18]
10.87 ( X射綫)4180蒸气压 $<10^{-7}$ 大气压, $1700^{\\circ} \\mathrm{C}$[5,18]
8.81 (X射綫)2630[5,18]
7.903050絕緣体[18]
$ d_{4}^{25}=4.05 $187 $[11,19]$ 、
[21]
d = 4.x-4.4600[10,12,13]
$ d_{4}^{25}=9.2 $[23]
[5]
"} {"image_path": "images/5c5cc1de60604a2d529f3bff53591e49.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
219....$ .35267....$ .06 555....$
219d.....55268.... .70556....
220.....40269.....75557....
246.....30270.... .60559....
247.... .45272.....60561....
264....0.7$^1/_2$279.....15562....
265.....45280.....55600....
266.....75281.....45701....
"} {"image_path": "images/5865447c5b0a1b7d2cf2666ac2a26ce0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dyspep-tics24290417879289248127103198102
30424803958160116191150163136
321646272704677364228225127
3313559291574202102139discont.
Normal2038233170655899675354
22827145658580559040disc.
1317938178436337502957
Achylic2617117 ${}^1/{}_2$12511 ${}^1/{}_2$1381512
10-minute periods ------------$\\rightarrow$
"} {"image_path": "images/84abcf3d6aa511f36e8a78ee9f71d0d7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\underset{(\\mathrm{torr})}{\\operatorname*{\\text{Initial pressures}}}$$10^5k\\\\ (sec.^{-1})$
Temp.InhibitorReactantInhibitor
260.6°None7—708.43 (mean)
260.6NO19.619.2 8.40
260.6NO40.339.68·33
260·6$C_3H_6$20.719.88.23
260.6$C_3H_6$41.642.28.26
300.8None8—9775.2 (mean)
300.8NO19.416.674.8
300·8NO36.9 45.569.6
300.8$C_3H_6$12.715.476.7
300.8$C_3H_6$29.719.6 73.2
"} {"image_path": "images/ad3eed4d091742183082f468b2424872.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
账表类型账表名称功能点详细描述
账簿打印科目账簿打印总账
余额表
明细账
多栏账
日记账
辅助账打印个人明细账
部门明细账
部门多栏账
项目明细账
项目多栏账
客户往来明细账
客户往来多栏账
供应商往来明细账
供应商往来多栏账
现金流量表现金流量明细表
现金流量统计表
"} {"image_path": "images/e16429a6fcbe715b6e39cbe8f7462e31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1920......100...........100
1929......230...........250
1932......400...........518
1939......480...........523
1941......500-550...........637
"} {"image_path": "images/1160bd783b50318a6e8a3c1a4618b2cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品 名单位数 量支 出收 入盈 亏+ -(万 元)
港 币( 元 )总 值(万元)人民币(元)总 值(万元)港 币(元)总 值(万元)人民币(元)总 值(万元)
进口鸡苗万只2752.46600.87239.2 0.87339.25
国内鸡苗\"3500.87204.50.87304.5
鸡 花 料万包10.6348.3513.1917.34184.2417.04181.05- 3.19
三 七 料\"48.7560.32989.6321.651055.4420.571002.79- 52.65
玉 米 料26.8751.3003493.754671255.064431190.59- 64.5
种 鸡 料万包5.260.3313.5621.65112.5824.64128.13+ 15.55
种鸡玉米2.8001300364467130.7634195.48- 35.28
药 费万只5000.31500.12600.1260
商 流 费\"5000.3741873500- 187
出口活鸡\"5007.2836 4019.59750- 140
合 计8484.127168.836701.6- 467.07
说明1. 出口活鸡以500万只计算。2. 商流费用按1983年实绩计算。3. 出口鸡价格按1983年实际价格计。4. 资料来源:市乔鸡调查组。
"} {"image_path": "images/b77f6332ac31086b815390ee3e6f21dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
门窗型号玻璃配置/白玻抗风压性能 P/ kPa水密性能$\\triangle P $$/ \\mathrm{Pa}$气密性能保温性能K/[W/(m2·K)]隔声性能/dB
$q_1/[\\text{m}^3/$$(\\text{m}\\cdot\\text{h})]$$q_2/[\\text{m}^3/$$(\\text{m}^2\\cdot\\text{h})]$
A型60系列平开窗5+9A+5≥3.5≥500≤1.5≤4.5$ 2.9\\sim 3.1 $$R_{\\mathrm{w}} \\leqslant 35$
,$12 A+5$≥3.5≥500≤1.5≤4.5$ 2.7\\sim 2.8 $$R_{\\mathrm{w}} \\leqslant 35$
5+12A+5 暖边≥3.5≥500≤1.5≤4.5$ 2.5\\sim 2.7 $ $R_{w} \\leqslant 35$
5+12A+5Low-E≥3.5≥500≤1.5≤4.5$ 1.9\\sim 2.1 $ $R_{w} \\leqslant 35$
$5+6 \\mathrm{~A}+5+6 \\mathrm{~A}+5$≥3.5≥500≤1.5≤4.5$ 2.2\\sim2.4 $ $R_{w} \\leqslant 35$
70系列平开窗5+12A+5≥3.5≥500≤1.5≤4.5$2.6 \\sim 2.8$$ \\begin{array}{l}R_{w} \\leqslant 35\\\\ \\end{array} $
5+12A+5 暖边≥3.5≥500≤1.5≤4.5$ 2.4\\sim2.6 $ $R_{w} \\leqslant 35$
$5+12 A+5$ Low-E≥3.5≥500≤1.5≤4.5$1.8 \\sim 2.0$ $R_{w} \\leqslant 35$
$5+6 \\mathrm{~A}+5+6 \\mathrm{~A}+5$≥3.5≥500≤1.5≤4.5$ 2.1\\sim 2.4 $ $R_{w} \\leqslant 40$
90系列推拉窗5+12A+5≥3.5≥350≤0.5≤4.5<3.0$30 \\leqslant R_{\\mathrm{w}} \\leqslant 40$
60系列平开门5+12A+5≥3.5≥500≤0.5≤1.5<2.5$30 \\leqslant R_{\\mathrm{w}} \\leqslant 40$
60系列折叠门5+12A+5≥3.5≥500≤1.5≤1.5<2.5$30 \\leqslant R_{\\mathrm{w}} \\leqslant 40$
提升推拉门5+12A+5≥3.5≥350≤1.5≤4.5<2.8$30 \\leqslant R_{\\mathrm{w}} \\leqslant 40$
B型EAHX50 平开窗 5+12A+5≥3.5≥350≤1.5≤4.5$ 2.7\\sim 2.8 $$30 \\leqslant R_{\\mathrm{w}} \\leqslant 40$
EAHX55 平开窗15+12A+5≥3.5≥350≤1.5≤4.5$ 2.7\\sim 2.8 $$30 \\leqslant R_{w} \\leqslant 40$
EAHD55 平开窗$5+9 \\mathrm{~A}+5+9 \\mathrm{~A}+5$≥4≥350≤1.5≤4.52.0$30 \\leqslant R_{w} \\leqslant 40$
EAHX60 平开窗5+12A+5≥3.5≥350≤1.5≤4.5$ 2.7\\sim2.8 $$30 \\leqslant R_{\\mathrm{w}} \\leqslant 40$
EAHD60 平开窗$5+9 \\mathrm{~A}+5+9 \\mathrm{~A}+5$≥4≥350≤1.5≤4.52.0$30 \\leqslant R_{\\mathrm{w}} \\leqslant 40$
EAHX65 平开窗5+12A+5≥3.5≥350≤1.5≤4.5$ 2.7\\sim 2.8 $$30 \\leqslant R_{\\mathrm{w}} \\leqslant 40$
EAHD65 平开窗$5+9 \\mathrm{~A}+5+9 \\mathrm{~A}+5$≥4≥350≤1.5≤4.52.0$30 \\leqslant R_{\\mathrm{w}} \\leqslant 40$
EAH70 平开窗$5+9 \\mathrm{~A}+5+9 \\mathrm{~A}+5$≥4≥350≤1.5≤4.52.0$30 \\leqslant R_{\\mathrm{w}} \\leqslant 40$
"} {"image_path": "images/d086a3b6089679be610de362d1d774cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ItemSupport
B3
D3
A2
C2
E2
"} {"image_path": "images/b21014c08a7b084df168996a9715bcba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
##佔的比重
年代其他
182050101015-20--
1840451112( 下降 )--
1850391515( 繼續下降 )--
186036171712415
187032232310418
18802828139319
18902231 148322
19001831167622
19101435167523
1913* 1537157-26
1920144795-25
19301042118-29
1937114212**5-30
"} {"image_path": "images/9e593c1542fe1133e64faaef657b0858.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sch.A.$\\Delta.$ UF. Cp.
0,921479-475-3
0,94479,5-475-4,5
0,95479-471-8
0,97479-461,5-17,5 +1
0,99479-456-23
1,01479-463,5-15,5
1,04479-472,5-6,5
1,07 479--472,5-6,5
1,100 0
1,130 0
1,170 0、
0,99 479-477 -2
0,94478-473-5
0,92100
0,94478-472- 6 Pol-
0,94475-474- 4 wechsel.
0,93478-475,5-2,5
"} {"image_path": "images/7b6ae1a5f541825d1b727650062fffd3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
故障内容原 因排除方法
干燥不良1. 干燥剂不足1. 增加干燥剂
2. 使用慢干溶剂过量2. 使用快干溶剂
3. 干燥时间不足3. 延长干燥时间
4. 油墨本身不良4. 更换油墨
粘合不良1. 油墨本身不良1. 换墨
2. 承印物不良2. 对承印物进行表面处理或更换
3. 错用溶剂3. 使用指定溶剂
4. 慢干溶剂使用过量。4. 使用快干溶剂
5. 干燥时间不足5. 延长干燥时间
粘 页1. 油墨干燥过慢1. 使用快干油墨
2. 干燥时间不足2. 延长干燥时间
3. 印刷物保管状况不好3. 下降温度湿度进行通风
4. 印刷物堆积过重4. 减轻印刷物堆积重量
透 印1. 油墨本身不良1. 换墨
2. 用错溶剂2. 使用指定溶剂
3. 承印物不良3. 更换承印物
臭 气1. 干燥时间不足1. 延长干燥时间
2. 溶剂自身不良。2. 使用无臭气的溶剂
3. 油墨自身不良3. 更换油墨
"} {"image_path": "images/2042a35f60c0f18e3cbdbfd553f7c6d7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ItIANALYTICALSOLUTIONI r = 0,5m = 2,n = 0I r = 1m = 2,n = 0I
II III
IIIII
I0.05I0,629 614I0.629 602I0,623 040I
IIIII
I0.10I0,384 647I0.384 673I0,376 277I
IIIII
I0.15I0,234 830I0.234 859I0,227 207I
IIIII
I0.20I0,143 363I0,143 389I0,137 194I
IIIII
"} {"image_path": "images/60a688b23847cb9341d8daa091c31711.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Row #
0$s^{10}$15243680 64
1$s^9$1582016
2$s^8$$\\epsilon$16166464
3$s^7$$\\frac{5 \\epsilon-16}{\\epsilon}$$\\frac{8 \\epsilon-16}{\\epsilon}$$\\frac{20 \\epsilon-16}{\\epsilon}$$\\frac{16 \\epsilon-16}{\\epsilon}$
$(s^6$$\\alpha _1$$\\alpha _2$$\\alpha _3$64)
$(s^5$$\\beta _1$$\\beta _2$$\\beta _3)$
4$s^6$1144
5$s^5$324
6$s^4$1812
7$s^3$- 11-16
8$s^2$611
9$s^1$25 / 6
10$s^0$11
"} {"image_path": "images/b45691379647afe0e625ac34f57f1492.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
出访负责人日 期访问国别(地区)访 问 概 况
何界生4 月 19~24 日匈牙利考察匈医疗制度改革和康复医学情况
张文康4 月 8~22 日马耳他苏 丹在马耳他出席地中海传统医学培训中心开幕式,与马卫生部商讨合作事宜。在苏丹签署两国卫生合作协定,与其卫生部磋商执行计划内容。
彭珮云徐志坚孙隆椿 5月 9~21 日新加坡德 国考察新加坡、德国医疗保险体制
陈敏章6 月 14~29 日法 国巴 西出席法国艾滋病防治部长级会议。在巴西访问,会见参议院议长,拜会了卫生部长,参观医疗和研究机构
胡熙明 4 月 22 日 至 5 月 2 日美国出席针灸大会
孙隆椿7 月 25~31 日印度尼西亚出席 ’94雅加达中国医药卫生科技成就展览开幕式活动
陈敏章9 月 11~17 日新 西 兰澳大利亚拜会新西兰卫生部长,参观医疗机构和公立医院。访问澳大利亚维多利亚健康促进基金会,拜会维多利亚州长,参观健康教育现场
张文康11 月 11~22 日韩 国日 本出席在韩国举行的第4次世界针灸大会。与韩卫生保健部讨论传统医学合作,签署会谈纪要。在日本出席中西医结合学术报告会,并做有关内容的学术报告
段大奎陈敏章11 月 22~28 日11 月29 日至12 月4 日奥地利法国出席欧洲卫生新展望会议出席艾滋病首脑会议
何界生12 月 12~25 日加 拿 大香港地区访问温哥华、多伦多、渥太华,考察食品、化妆品的管理、生产体制,考察妇幼卫生,拜会卫生部,商谈卫生合作备忘录文本。在香港出席儿童基金会香港委员会为中国消灭脊髓灰质炎募捐经费活动
胡熙明12 月 9~29 日马达加斯加坦桑尼亚看望医疗队员,参观医疗机构,与医疗队座谈,受到马达加斯加总统、外长和卫生部长的接见。在坦桑参观最高医疗机构,与医疗队座谈,参观其所工作的医院,商谈两国医疗合作和医疗队议定书有关条款,会见坦桑卫生部长
"} {"image_path": "images/fab7125194a2a494c412fb823dd44587.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
灸 序穴名度穴数每穴施灸量
1 日巨阙(单穴)奂30分钟
中脘(单穴)灸30分钟
足三里(双穴)各灸30分钟
2 日期门(双穴)各灸30分钟
太冲(双穴)各灸30分钟
3 日肺俞(双穴)各灸25分钟
泽前(双穴)各灸25分钟
4 日心俞(双穴)各灸25分钟
神门(双穴)各灸25分钟
5 日天池(双穴)各灸25分钟
少海(双穴)各灸25分钟
6 日膈俞(双穴)各灸25分钟
天突(单穴)灸30分钟
煎中(单穴)灸30分钟
7 日肝俞(双穴)各灸25分钟
章门(双穴)各灸30分钟
8 日肩膀(双穴)各灸25分钟
手三里(双穴)各灸25分钟
"} {"image_path": "images/2b05096925f4e3710dd2c6f3c5de761c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
加氢条件贮存前后油品质量空 速 $~2.0时^{-1}$空 速 $~4.0时^{-1}$
300℃330℃360°C300℃330℃360°C
实 际 胶 质毫克/100毫升贮 前104.45.610.29.26.4
一 年2443.654.419.266.430.2
38 个 月102.8118.2111.216.8121.2103.2
酸 度毫克KOH/100毫升贮 前
一 年0.210.830.970.280.830.62
38 个 月1.783.284.790.213.422.19
透 光 率$(\\lambda=475)$贮 前> 100>100>100>100>100>100
一 年99>100>100>10010096
38 个 月1001009810098100
"} {"image_path": "images/abd168338250609061e50d3e6e7559d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
物 質 名 称最 大 允 許 浓 度
苏联标准 毫克/升美 国 标 准
毫克/立方公尺百 万 分 之
乙酸丙酯0.2200
乙酸丁酯0.2200
乙酸戊酯0.1200
甲酸甲酯100
硫酸二甲酯1
甲醛0.00510
乙醛200
丙烯醛0.0020.5
丙酮0.2500
丁酮250
戊酮200
己酮100
"} {"image_path": "images/b4852f7a196869ce8b4b847cca3ab2bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
股东名称认缴注册资本实缴注册资本
变更前变更后变更前 本次增加额变更后
金额比例金额比例金额比例金额比例
甲公司
乙公司
丙公司
合 计
"} {"image_path": "images/afab618ffa56eafcc4253bb4a6f1ff28.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
總 計0819513
高级中 1510510
##学校 70682
工枼学校4 4
帥# 学校981
其 他 22
同#学力88
"} {"image_path": "images/fa708a1f08f8f39a995c93bcefdb0dbf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\left. F_{n}^{\\prime \\prime}(0)\\right.$$\\left(-\\theta_{n}^{\\prime}(0)\\right.$
nPr01230123
0.10.859140.54141-0.120530.133550.23014.0.05530-0.032550.04291
0.70.678910.45125-0.108580.128480.499510.12890-0.084930.12748
10.642190.43044-0.105000.125830.567150.14844-0.099770.15289
100.419200.29101-0.075590.09661.1.169330.32736-0.239380.39906
"} {"image_path": "images/6f716394c4e6df61f0c35a7849a92c77.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
药名抗菌谱及抗菌作用 适应证剂量注意事项
拉氧头孢Latamox-ef①对肠杆菌科细菌,流感嗜血杆菌,卡他莫拉菌具良好抗菌活性;②对甲氧西林敏感葡萄敏感菌所致下呼吸道,尿路,腹腔,盆腔,血流及中枢神经系统感染成人:每日1 ~2g,分 2 次深部肌注或静滴或静注,重症感染可增至每日4g,分2次①可导致凝血酶原缺乏,血小板减少而引起出血,用药期间应补充$VitK_1$;②肾功
"} {"image_path": "images/2ff29190ca70899522477ff70a405dc4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
輸 出 價 值
1929年1932年1937年1938年
埃 及343 , 000 公噸301 , 000公噸400 , 000公噸357 , 000$ 公噸63 , 000 , 000 美金
美 國 1 , 762 , 0002, 138 , 0001 , 877 , 0001 , 038 , 000132 , 000 , 000
印 度714 , 000291 , 000661 , 000408 , 0005 , 000 , 000
中 國 57 , 00040 , 00038 , 000137 , 00012 , 000 , 000
巴 西49 , 0001 , 000236 ;000269 , 00032 , 000 , 000
全世界 3 , 161 , 0003 , 009 , 0003 , 169 , 000
"} {"image_path": "images/0536df783334c483610a2d5c63cd8df0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HOLE SCHEDULE
PAD DIACODEDESCRIPTIONQTYPLATED
. 050A02.8 DIA ± .003534YES
. 060UNMARKED.039 DIA ± 0031813YES
B.059 DIA. ± .0031NO
C.125 DIA ± .0023N O
D.136 DIA ± .0032N O
E.156 DIA ± .0031NO
"} {"image_path": "images/143bb89272e1270b03f0c701f83842e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ENGLISHSWEDISHDANISHWELSH
Binnie (1974)Jefferse & BarleyMantony (1974)Skamris (1983)Jones et al (1989)
Normal hearingsubjectsGoodvisabilityNormalvisabilityControlgroup
p, b.mp , b, mp, b,mp, b, mp, b, mp, b, m
f.vf . vf vf , vf . vf v
ww.hw.rw,hw,rw
r#, r
#
$\\theta$ . #$\\theta$ , #$\\theta$ ,##,t,dn.j$\\theta$ , #
# , nt,d.n.l# ,r##
S,Z
d , t , s , zjt,d,nn,d,t,s,in, d , t , s
3 . $\\int $d3,$\\int $,t$\\int $,3d3$\\int $.t$\\int $.3s.sj.j.ti.dz. $\\int $
k.gk,g,#k,g,#k , g , nk . g , r . hk , g. #
hx,h,j
"} {"image_path": "images/bf991131daa88b810e6300437dd63216.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
je12345$\\tau$
110001
001003
001003
000006
011002
"} {"image_path": "images/62f75c1e383775eb59aa8c6f3f76ef8d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
本帐页数
本户页数
"} {"image_path": "images/83b342d3108ef2d84c0b74f161e6a50d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机构名称职 务姓名任职起讫时间附 注
行政党内
煤炭工业总公司管理局经 理局 长总支书记谷声茂1986.31990.3
副经理局 长华锦坤 1986.31993.10
副经理局 长李智文1986.31989.4
煤炭工业总公司管理局副经理局 长钟 健1989.4
经 理局 长总支书记李应才1990.41991.6
副经理局 长钟玉叁1990.11
经 理局 长总支书记罗源学1991.61993.1092.10-93.10属聘任
副经理局 长彭崇球1991.61992.12
副经理局 长李有余1992.1
副经理局 长冯桢祥1992.8
副经理局 长钟福光1993.7
经 理局 长总支书记 华锦坤1993.11
"} {"image_path": "images/1a1182996e0d0df63de29055768a8e12.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
安徽湖北陝西甘肅綏遠察哈爾
--11---62
--50---132
--9---21
--11---28
--99--28
--3---46
--7---54
--25---363
--5---5
------33
--27---51
--36---155
--2---2
--7---45
--19-84-256
------5
--4---4
------24
------6
-------
-------
--4---32
--5---5
--15---108
------2
----38689
"} {"image_path": "images/9bbe896b64f58a64e07e875a96f76ba6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
保温时间(min)温度(°C)层 深$(\\mu \\mathrm{m})$保温时间(min)温度(°C)层 深$( \\mu \\mathrm{m})$
电 加 $热^{①}$炉 内 加 热 (#C/#)
310006/815105018
105015/20110025
110025/3030105030
510008/12110047
105024/3145105041
110040/48110064
7100012/1560105050
105031/40110078
110052/61
10100015/18
105040/50
110068/80
"} {"image_path": "images/b6c36a9ce8d55c6eb6cca08f0e085cbd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目程序·内容时 间 ( 月 )责 任可取得效果
123456789101112诊断单位企业方面
1. $✕ ✕ ✕ ✕✕ ✕ $1. $✕ ✕ ✕ ✕$AB1. $✕ ✕ ✕ ✕ $$✕ ✕$2. $✕ ✕ ✕ ✕ $$✕ ✕ ✕ $
2. $✕ ✕ ✕ ✕ ✕$
3. $✕ ✕ ✕ ✕ $
2. $✕ ✕ ✕ ✕ $1. $✕ ✕ ✕ $CD1. $✕ ✕ ✕ ✕ ✕$$✕ ✕ ✕$2. $✕ ✕ ✕ ✕ $
2. $✕ ✕ ✕ ✕ $
3. $✕ ✕ ✕ ✕ ✕ ✕$
3. $✕ ✕ ✕ ✕ ✕ $1. $✕ ✕ $EF1. $✕ ✕ ✕ ✕ ✕$$✕ ✕ ✕ ✕ ✕$$✕ ✕ $
2. $✕ ✕ ✕ ✕ $
4. $✕ ✕ ✕$1. $✕ ✕ ✕ ✕ $1. $✕ ✕ ✕ ✕ ✕ $
"} {"image_path": "images/22c78e1c20b44b49b4ff22635727912e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
文 件 名记录长度 单位记录数(日、月、年)存贮周期总信息量说明
"} {"image_path": "images/3861ea56d1b86c797371f932280eb149.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级指标二级指标我的认识自我评价信息特长定位
综合素质道德素质
教学理念
知识素质
教育能力
教学能力
教学行为教学创新
育人职责
个性职责
教学常规
教学成果教学成绩
因材施教
协同成绩
研究发展教学特色
科研成果
教学反思
自我超越
发展目标
发展条件
"} {"image_path": "images/f3bdeb804319345b2c445a603aa0d58b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月初在产品成本
本月生产费用
合计
分配率
完工产成品转出
月末在产品
"} {"image_path": "images/d440c40ed15937d13453859db7aede65.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
物理性能比重 (克/厘米$^2$)7.47.17.27.1
比电阻Ω (毫米$^2$/米)$1.26 \\pm 0.08$ $1.4 \\pm 0.1$ $1.4 \\pm 0.1$$1.5 \\pm 0.1$
电阻温度系数 $(\\times10^{-s}$/℃)15580.65
线胀系数 (x10$^{-6}$/℃)15.41615.616.6
(20~1000℃)
比热 (卡/克·℃)0.1170.1180.1180.118
导热系数(千卡/米·小时·℃)12.61111.710.8
熔点 (℃)约1450约1500约1500约1520
机械性能抗张强度 (公斤力/毫米$^2$)60~7565~8070~8570~80
延伸率 (%)15~2015~20>12>12
断面收缩率 (%)65~7560~7565~7565~75
弯曲次数 (次/R)> 5 > 5> 5> 5
硬度 (HB)200~260200~260200~260$ \\text { 200~260 } $
组织状态铁素体铁素体铁素体铁素体
磁 性
"} {"image_path": "images/ae096fcc21120dca9d1e6150e1d134d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
珠玉5/129#2/52
2/57莽草5/153
珠樹11/262莽浮之林5/165
珠鳖魚4/973/90
4/97耿山4/98
16/3471/1
敖岸之山5/115桂山16/333
5/11816/338
秦椒3/8018/385
泰山4/95桂木2/27
泰威之山5/110桂竹5/164
泰冒之山2/30桂林八樹10/258
泰室之山5/136桂陽13/287
泰逢5/118栯木5/136
秦逢神5/1183/63
泰陸之水3/854/102
泰頭之山3/825/123
泰器之山2/393/84
泰澤3/695/147
3/71栒狀之山4/93
3/803/65
3/894/101
泰戲之山3/865/143
恝恝之山15/3135/159
都州13/284桃山16/338
13 / 285桃水2/44
都廣之野18/374桃林5/129
華山2/19桃枝2/25
2/295/140
18/3745/141
華草3/605/143
華陰13/2865/147
華陽13/2865/149
"} {"image_path": "images/4bc24cba007d728bec8c8c2bcf69dc0a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fuel gasd, MM$u_0^* \\cdot \\mathrm{~m} / \\mathrm{sec}$k (9)
Methane10168 [5]0.10
Natural gas32381 [14]0.08
(93.0% methane)50No disruption $[14]$0,08
Methane · 10 % $\\mathrm{CO}_2$551 [5]0,11
Methane · 20 % $\\mathrm{CO}_2$529 [5]0,10
Propane5154 [5]0,15
Propane :20 % $\\mathrm{CO}_2$585 [5]0.15
Propane :40 % $\\mathrm{CO}_2$544 [5]0,16
Butane5152 [5]0,14
Ethy lene5350 [5]0,13
Hydrogen0.551300 [15]0.16
1,0No disruption $[15]$0,16
Acetylene1,0312 [5]0,16
"} {"image_path": "images/73962a6a008bb0377f0d709a51c53f38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Linn. names.Engl. names.Synon. & Ref. Habitat.
60 sinistrorsareversedFer.t.32.f.2,3.Cape of G. Hope. L.
61 ListerianaWheelBr.M.W. Indies.
62 scabrarough-skinn'd--
63 BrowniiBrown's--
64 scitulastraw-coloured--
65 aureolasomewhat golden--
66 FibulaButton-Sicily.
67 lævissmooth, broadlipped-Ceylon.
68 lineatastriped-E. Indies.
69 labrosaedge-lipped-U.
70 PetiverianaPetiver's--
71 dentatatoothed--
72 fasciolatabrown-streakedM.Cab.-
73 sulculatabeaked--
74 supplicatafallowBr.M.-
75 Auris LeporisHare's Ear--
76 papyraceapaper--
77 scobinatarough-coatedM. Cab.-
78 VexillumBanner--
79 Porto Sancta-Porto Santo-Madeiras.
"} {"image_path": "images/7f9e4fffe59564f52f39fbb05685cb7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Acco#####
Notes Payable0
Total Current Liabilities4.438
Long-Term Debt37,142
Total Liabilities$ 41,580
Common Stock35,000
Capital in Excess of Par32,100
Retained Earnings86,716
Total Stockholders' Equity153,816
Total Liabilities and Equity$195,396
"} {"image_path": "images/4314ab6230167d78a117ae62cb22724e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1SZ-80/50塑料注射成型机宁波科教机械厂翁振涛、严国元、李佐元、谢柏毅、程铭康
二等奖
1引进快速发酵啤酒生产技术推广 $\\star$浙东啤酒厂汪成钧、陈国诚、水华章
三等奖
1不锈钢38.5 Z 4板翅式机油冷却器中科院上海冶金所机电厂沈金康、卢其俊鄞县冷却器厂 徐成东、徐璋国、徐利定
2船舶机舱恒温隔声集控室宁波船舶消声设备厂李金华、朱英国、朱鸿飞
3W D C微机皮带称 鄞县震动设备厂邬国平、徐守伯中船总公司707 所胡文光、倪宏烈、金司煌等 1 5 人
4晚稻钾肥试验推广$\\star$宁波市农业局土肥站周建民 鄞县土肥站叶万兴 奉化县土肥站李秀芳 宁海县土肥站 黄正国
"} {"image_path": "images/a1979cdef5310dd0a1dbca6735b5e16d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
预 决 第 项粮 种第 季预算数决算数斤折斗说 明
第一季麦子1此表根据粮食决算表在前半年批预算时麦子和小米都批在一块,所以现在也无法分开。
小米40,143000斤51,62625 斤172857 石
第二季麦子
小米59,764500斤64,1689375 斤2138964 石
第三季麦子25,042000斤31,986000 斤110296 石一二三月份每日平均人数 435 人
小米43,350000斤52,870000 斤176231 石四五六月份每日平均人数 518 人
第四季麦子69,88425 斤57,61875 斤198685 石七八九月份每日平均人数 670 人
小米23,94750 斤33,38250 斤111275 石十十一十二月份每日平均人数 673 人
合 计261,13125 斤291,6516875 斤9824709 石小计 2296,5人
"} {"image_path": "images/0d2265c28eddcad7d62c2722ed65438b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Compound Products (yield)
Nr.RX
6$ \\mathrm{CH}_{2}-\\mathrm{C}_{6} \\mathrm{H}_{5} $${\\text{ClO}_4}^\\ominus$bis-[1-benzyl-2,4,6-trimethyl-1,4-dihydropyridinyl-(4)] (53% [24])2,4,6-trimethylpyridine (4,6%)
7a$ \\mathrm{p}-\\mathrm{CH}_{2}-\\mathrm{C}_{6} \\mathrm{H}_{4}-\\mathrm{CN} $$\\text{Br}^\\ominus$bis-(1-p-cyanobenzyl-4-methyl-1,4-dihydropyridinyl-(4)] $\\left(61 \\% ^\\mathrm{c}\\right)$ );4-methylpyridine $<0.5 \\%$
7b$\\mathrm{p}-\\mathrm{CH}_{2}-\\mathrm{C}_{6} \\mathrm{H}_{4}-\\mathrm{NO}_{2}$$\\text{Br}^\\ominus$4-methylpyridine $(38 \\%)$,p-nitrotoluene $(35 \\%)$
7e$ \\mathrm{o}-\\mathrm{CH}_{2}-\\mathrm{C}_{6} \\mathrm{H}_{4}-\\mathrm{NO}_{2} $$\\text{Br}^\\ominus$4-methylpyridine $(52 \\%), \\mathrm{o}$-nitrotoluene$(18 \\%), 1,2$-di-(o-nitrophenyl)-ethane$^d$)
7d$ CH_2-CO-C_6H_5 $$\\text{Br}^\\ominus$4-methylpyridine $(85 \\%)$,acetophenone $(9.5 \\%),$1,2-dibenzoylethane $(61 \\%)$
7d$ \\left.\\mathrm{CH}_{2}-\\mathrm{CO}-\\mathrm{C}_{6} \\mathrm{H}_{5}{ }^{\\mathrm{b}}\\right) $$\\text{Br}^\\ominus$4-methylpyridine $(96 \\%),$ acetophenone$(90 \\%)$
8$ \\mathrm{CH}_{2}-\\mathrm{CO}-\\mathrm{C}_{6} \\mathrm{H}_{5} $${\\text{ClO}_4}^\\ominus$1-methylimidazole ${ }^{\\mathrm{d}}$ ),acetophenone $(44 \\%)$
9$ \\mathrm{CH}_{2}-\\mathrm{CO}-\\mathrm{C}_{6} \\mathrm{H}_{5} $$\\text{Br}^\\ominus$acetophenone (43%)
"} {"image_path": "images/db388194e9a1cf6959df6ef1741e5127.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号评 分 绑 则实际扣分备 注
1工、量具正确使用 4~6 分
2主缸、轮缸磨损间隙测量正确与否 5~10 分
3缸筒误差测量 5~10 分
4主缸弹簧弹力测量 5~10 分
5自由行程调整 5~10 分
6制动系空i排除 5~10 分
7作业顺序是否合理 4~6 分
8工艺过程是否正确 4~6 分
9是否熟练、有条不紊 4~6 分
10是否违反安全操作规程 4~6 分
11时间是否超过、每超 1 分钟扣 2 分
12是否遗漏检查调整项目 15 分/次
13是否造成另部件损坏 15 分/次
14
说 明1. 按表逐项评分,把所扣分填入实际扣分栏。2. 对于重大事项应在备注栏说明。3. 若评分内容不够,可另增设项目
总扣分实际得分
"} {"image_path": "images/ca45de236f3b74f3cb4d65052b039ac3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
试剂名称浓度(%)配制方法
铝试剂0.10.1g铝试剂溶于 $100 \\mathrm{~mL}$ 水中。
丁二酮肟11 g丁二酮肟溶于 $100 \\mathrm{ml} .95 \\%$ 乙醇中。
奈氏试剂1 $115g HgI_{2}$ 和 $80 g$ KI溶于适量水中,稀释至 $500~mL$ ,再加入 $500~mL.6~mol\\cdot L^{-1} NaOH$ 溶液,混合均匀,静置后取其清液,保存于棕色瓶中.
淀粉试液1$1 \\mathrm{~g}$ 淀粉加少量水搅拌均匀,倒入 $100 \\mathrm{~mL}$ 沸水中,煮沸几分钟,放冷后取其清液。
淀粉混合液 $0.2 \\mathrm{~g}$ 淀粉加水 $2 \\mathrm{~mL}$. 搅拌均匀,倒入 $25 \\mathrm{~mL}$ 沸水中,放冷,再加入 $2 \\mathrm{ml} .0.025 \\mathrm{tnol} \\cdot \\mathrm{L}^{-1} \\mathrm{H}_{2} \\mathrm{SO}_{4}$ 溶液、 $3$ 滴 $1 \\%$ $\\mathrm{NaNO}_{2}$ 和 $25 \\mathrm{ml}$ 水,混合均匀。
氯水$ Cl_{2}通入水中至饱和(临时配制)。 $
溴水液溴滴入水中至饱和。
碘水$$ 1.3\\mathrm{~g} 碘与 $5 \\mathrm{~g} \\mathrm{KI}$ 溶解在尽可能少的水中,再加水稀释至 11。
氯胺 T 溶液2$2 \\mathrm{r} \\mathrm{C} 7 \\mathrm{H}_{7} \\mathrm{ClNNaO}_{2} \\mathrm{~S} \\cdot 3 \\mathrm{H}_{9} \\mathrm{O}$ 溶于 $100 \\mathrm{mil}$ 水中。
太坦黄溶液0.05$ 0.05 \\mathrm{~g} C_{14} \\mathrm{H}_{19} \\mathrm{~N}_{0} \\mathrm{Na}_{7} \\mathrm{O}_{4} \\mathrm{~S}_{4} 溶于 100 \\mathrm{~mL} \\text { 水中。 } $
标准 KBr 溶液准确称取 $0.1485 \\mathrm{~g} \\mathrm{KBr}\\left(105^{\\circ} \\mathrm{C}\\right.$ 干燥恒重 $)$ 溶于 $100 \\mathrm{~mL}$ 水
标准镁溶液$ \\text{准确称取} 0.0166g(800^{\\circ} C\\text{灼烧恒重})Mg(),\\text{加入} 2.5~mL, $
铬黑 T 指示剂0.5g铬黑T溶于100mL水中。
铬酸洗液 $$ 5 g K_7 Cr_2 O_7 溶于 $100 mL$ 热水巾,冷却后缓缓加入 $100$$mL 浓 H_2 SO_4 (边加边搅拌)。 $$
NH₃·$H_2O$-NH.CI缓冲溶液(pH=10) 14.0g NH:CI溶于适量水中,加入100mL.$15mol·L.^{-1}$NH.·H,()中,稀释至1L。
"} {"image_path": "images/04ec4580343aff5fcf8d8f78a99dd2d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国 别年 份
1 9 7 01 9 7 31 9 7 51 9 7 61 9 7 71 9 7 81 9 7 9
美 国*8721550113013901400
英 国79109.2127.4(万吨)154.6(万吨)139.9(万吨)
苏 联17603561
日 本117.5130.9137.2143.0130.3
法 国**21.626.424.0
"} {"image_path": "images/98278d1feded858b790c97547cce15e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$N_{max}$π $A_{n}^{m}\\left(1 / \\sqrt{k_{m}}\\right)^{n-2}$$B_{n}^{m}\\left(1 / \\sqrt{k_{m}}\\right)^{-n-1}$$C_{n}^{m}e^{-\\mu\\sqrt{k_m}}$$D_{n}^{m}e^{-\\mu\\sqrt{k_m}}$
1021.5006E+00-6.0036E - 01-1.0945E+020.0000E+00
30.0000E+00-7.4303E-011.7803E+010.0000E+00
40.0000E+00$ -8.7244E-02 $6.0505E+000.0000E+00
450.0000E+004.9191E-028.4232E-010.0000E+00
60.0000E+00$ -3.0795E-02 $-1.0347E -010.0000E+00
70.0000E+00$ 1.8011E-02 $6.3594E--020.0000E+00
8$ 0.0000E+00 $-5.6613E -03-2.2552E -020.0000E+00
9$ 0.0000E+00 $-1.2167E-031.4802E-030.0000E+00
10$0.0000 \\mathrm{E}+00$3.4108E - 033.3558E - 030.0000E+00
110.0000E+00-3.5799E -03$ -1.2078\\mathrm{E}-03 $0.0000E+00
2021.5006E+00-6.0037E-01-1.0945E+020.0000E+00
30.0000E+00-7.4303E -01$ 1,7803E+01 $0.0000E+00
40.0000E+00-8.7245E-02$ 6.0505E+00 $0.0000E+00
50.0000E+004.9190E-028.4232E - 010.0000E+00
6 $0.0000 E+00$ -3.0786E -02$ -1.0344E-01 $0.0000E+00
7 $0.0000 E+00$ 1.7983E-02$ 6.3492E-02 $0.0000E+00
8$0.0000 \\mathrm{E}+00$-5.5938E -03$ -2.2356E-02 $0.0000E+00
9$ 0.0000 E+00 $-1.3365E -031.0470E-030.0000E+00
10$ 0.0000E+00 $3.6401E-033.2253E - 030.0000E+00
11 $0.0000 E+00$ -3.2298E -03$ -2.2214E-03 $0.0000E+00
12$ 0.0000E+00 $1.9182E-03$ 8.7726E-04 $0.0000E+00
13$0.0000 \\mathrm{E}+00$-7.5220E -04$ -2.2869\\mathrm{E}-04 $0.0000E+00
14$ 0.0000E+00 $7.5150E-05$ 3.3324E-05 $0.0000E+00
15$0.0000 \\mathrm{E}+00$1.8426E-04$ 2.4813 \\mathrm{E}-06 $0.0000E+00
160.0000E+00-1.9995E-04$ -3.0823E-06 $0.0000E+00
170.0000E+00$ 1.3548 \\mathrm{E}-04 $1.0884E-060.0000E+00
18$0.0000 \\mathrm{E}+00$$ -6.2432E-05 $-2.3829E -070.0000E+00
190.0000E+00$ \\text{ 2.2383E}\\cdot\\text{05} $5.6986E - 080.0000E+00
20$0.0000 \\mathrm{E}+00$$ -1.8201E-07 $-5.2481E-090.0000E+00
210.0000E+00-3.5707E -069.0814E - 090.0000E+00
"} {"image_path": "images/db11bae9e12d5695a0036036dca748f1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
截面号n拱轴系数m13141516
1.347$\\mathbf{y}_{1}/\\mathbf{f}$0.201230.165970.134200.10587
$\\mathrm{tg\\varphi\\frac{L}{f}}$1.7763671.6084651.4424681.278098
1.756$\\mathbf{y}_{1}/\\mathbf{f}$0.192400.158360.127800.10064
$\\mathrm{tg\\varphi\\frac{L}{f}}$1.7187301.5498981.3846971.222772
2.240$\\mathbf{y}_{1}/\\mathbf{f}$0.183580.150770.121430.09545
$\\mathrm{tg\\varphi\\frac{L}{f}}$1.6603741.4908901.3267791.167507
2.814$\\mathbf{y}_{1}/\\mathbf{f}$0.174800.143220.115100.09031
$\\mathrm{tg\\varphi\\frac{L}{f}}$1.6014461.4315331.2688001.112365
3.500$\\mathbf{y}_{1}/\\mathbf{f}$0.166020.135690.108810.08520
$\\mathrm{tg\\varphi\\frac{L}{f}}$1.5417261.3717391.2105751.057249
4.324$\\mathbf{y}_{1}/\\mathbf{f}$0.157270.128200.102550.08013
$\\mathrm{tg\\varphi\\frac{L}{f}}$1.4812351.3114891.1521960.902112
5.321$\\mathbf{y}_{1}/\\mathbf{f}$0.148540.120740.096340.07510
$\\mathrm{tg\\varphi\\frac{L}{f}}$1.4199121.2507331.0936300.947055
6.536$\\mathbf{y}_{1}/\\mathbf{f}$0.139830.113320.090170.07012
$\\mathrm{tg\\varphi\\frac{L}{f}}$1.3577221.1895041.0348750.892084
8.031$\\mathbf{y}_{1}/\\mathbf{f}$0.131150.105940.084050.06519
$\\mathrm{tg\\varphi\\frac{L}{f}}$1.2945641.1277060.9759070.837157
9.889$\\mathbf{y}_{1}/\\mathbf{f}$0.122480.098600.077980.06031
$\\mathrm{tg\\varphi\\frac{L}{f}}$1.2303921.0653280.9167240.782298
"} {"image_path": "images/5a664c4091e553516a7241df128331db.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1141杨式传统太极拳俞红0300142 8.62
2118杨式传统太极剑俞红0300143 8.56
112142 式太极拳竞赛套路 42 Style Taijiquan陈国建0300153 8.64
2118杨式传统太极剑陈国建0300151 8.57
2126杨式传统太极刀陈国建0300151 8.61
1141杨式传统太极拳马鹏0300161 8.09
2118杨式传统太极剑马鹏0300161 8.06
112142 式太极拳竞赛套路 42 Style Taijiquan苏雪利0300213 8.62
1614其他气功类苏雪利0300211 8.56
2118杨式传统太极剑苏雪利0300213 8.66
2126杨式传统太极刀苏雪利0300212 8.73
1126杨式太极竞赛套路( 40 式 )邵建风0300262 8.66
1141杨式传统太极拳 Yang Style Tradition Taijiquan章胜丹0300292 8.54
2156蝶恋花剑术章胜丹0300291 8.35
1177其它太极拳 Other Taijiquan林彬0300313 8.69
2118杨式传统太极剑林彬0300311 8.72
2126杨式传统太极刀林彬0300312 8.70
1214国家少年规定长拳 Country juvenile providechangquan陈欣雨0310011 7.52
2221初级刀术(58年版)陈欣雨0310012 7.52
2225初级棍术(58年版)陈欣雨0310011 7.54
1210初级长拳三路 3rd Set of Junior Long Fist陈一诺0310021 7.49
2222初级剑术(58年版)陈一诺0310021 7.52
2485功夫扇陈一诺0310021 7.38
1210初级长拳三路 3rd Set of Junior Long Fist叶千文0310032 7.47
2221初级刀术(58年版)叶千文0310033 7.38
2225初级棍术(58年版)叶千文0310032 7.49
1236少林拳简化卢瑾柔0310041 7.42
1254少林拳卢瑾柔0310041 7.51
2442双匕首卢瑾柔0310041 7.60
1241少林十三手卢逸0310052 7.17
2240少林棍卢逸0310052 7.16
2429双节棍卢逸0310052 7.02
1237少林小洪拳刘辰皓0310063 7.42
1254少林拳刘辰皓0310061 7.50
2240少林棍刘辰皓0310061 7.36
7218集体(少林拳械结合)刘辰皓等 6 人031006等 6 人1 7.80
1238大罗汉拳张凯0310073 8.33
1249少林七星拳张凯0310071 8.27
2442双匕首张凯0310071 8.31
1237少林小洪拳陈宇豪0310083 7.32
1254通背拳陈宇豪0310081 7.51
2442双匕首陈宇豪0310083 7.43
"} {"image_path": "images/5a56764d7b4f9fe593d9d61a44d5c438.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FebruaryAs in December.Feb. 28. Theme VII.:A Description.Macaulay:Life of Clive, orLife of John-son, or Life ofHastings.Every month:One conference,-a n inter-view, for fif-teen minutes,between stu-dent and in-structor.
MarchAs in December.March 14. Theme VIII.:A Description.March 28. Theme IX.:A Narrative.
AprilAs in December.April 11. Theme X.:A Narrative.An hour ex-amination,at the dis-cretion ofthe instructor.George Eliot:“ Adam Bede. ”
MayAs in December.May 7. Theme XI.:A Brief.May 23. Theme XII.:An Argument.
JuneThe final ex-amination( t h r e ehours).
"} {"image_path": "images/6deadbd95be94d39bf123ee0c5bb4fca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
r.p.r.I22$\\cdot $0173$\\cdot $8620$\\cdot $8p.r.
1017$\\cdot $6700$\\cdot $8139$\\cdot $2
I6$\\cdot $37·9I15$\\cdot $766$\\cdot $9974$\\cdot $73317$\\cdot $5611110$\\cdot $4093139$\\cdot $2
I6$\\cdot $2877$\\cdot $927I15$\\cdot $71367$\\cdot $0853774$\\cdot $4773317$\\cdot $5733110$\\cdot $4182139$\\cdot $2
I6$\\cdot $28267$\\cdot $9202
"} {"image_path": "images/bf3ce231cac17cdee7ad3dfc109df83b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
定 额 编 号1-251-261-27
项 目单位单价踢 脚 线楼地面
水泥砂浆干粉型粘结剂
10m10$m^2$
数 量合 价数 量合 价数 量合 价
基 价385.36401.072616.12
其中人 工 费23.7523.75129.50
材 料 费360.06375.772478.99
机 械 费1.551.557.63
综 合 工 日工日25.000.9523.750.9523.755.18129.50
材料大理石板$\\mathbf{m}^{2}$230.001.53351.901.53351.9010.202346.00
水泥砂浆1:2$\\mathfrak{m}^{3}$192.550.035.780.035.78
107胶素水泥浆$\\mathfrak{m}^{3}$438.350.0020.88
水泥砂浆1:3$\\mathfrak{m}^{3}$160.670.20232.46
干粉型粘结剂kg1.5810.5016.5960.0094.80
白水泥kg0.580.400.230.400.232.001.16
棉纱头kg6.040.0150.090.0150.090.100.60
锯木屑$\\mathfrak{m}^{3}$12.000.0090.110.0090.110.060.72
合金钢切割锯片56.730.0050.280.0050.280.0351.99
$\\mathfrak{m}^{3}$0.990.040.040.040.040.260.26
其他材料费0.750.751.00
机械灰浆拌和机 200L石料切割机垂直运输费台班台班元45.0015.000.0050.0210.230.321.000.0050.0210.230.321.000.0340.141.532.104.00
"} {"image_path": "images/7c758381014f56e8fc6436d707f59ec2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
($a_0^r$)$V_0^ {SP}$(h)$V_0^ {P}$(h)$g_0$$V_1^ {SP}$(h)$V_1^ {P}$(h)$ g_1$$V_2^ {SP}$(h)$V_2^{P} $(h)$g_2$$V_3^ {SP}$(h)$ \\begin{gathered} V_{3}^{\\mathbf{P}} \\\\ \\text { (h) } \\end{gathered} $$g_3$
0.0-2.358-0.072 0.00 0.0000.0000.000.0000.0000.000.0000.000 0.00
0.2-2.407-0.077$5 \\times 10^{-5}$-0.591-0.062$4 \\times 10^{-5}$-0.364-0.011$2 \\times 10^{-5}$-0.0520.001$-7 \\times 10^{-7}$
0.4-2.555-0.094$9 \\times 10^{-4}$-1.226-0.120$1 \\times 10^{-3}$-1.470-0.042$1 \\times 10^{-3}$-0.4200.007$-7 \\times 10^{-5}$
0.6-2.796-0.121$6 \\times 10^{-3}$-1.944-0.169$8 \\times 10^{-3}$-3.361-0.0900.01-1.4470.013$-6 \\times 10^{-4}$
0.8-3.139-0.1530.02-2.824-0.2060.03-6.192-0.1520.06-3.6010.005$-9 \\times 10^{-4}$
1.0-2.944-0.1830.07-1.955-0.2260.09-6.905-0.2220.21-2.788-0.022$8 \\times 10^{-3}$
1.2-2.341-0.2030.160.497-0.2190.17-5.761-0.2870.571.481-0.0590.05
1.4-1.527-0.2090.310.511-0.1830.27-3.323-0.3361.230.871-0.0950.14
1.6-0.999-0.1980.490.439-0.1180.29-1.932-0.3412.130.488-0.0910.23
1.8-0.662-0.1750.700.375-0.0450.18-1.142-0.3113.100.307-0.0570.23
2.0-0.442-0.147 0.90 0.3090.016 -0.10-0.667-0.2603.960.208 -0.0150.09
2.2-0.297-0.1191.060.2450.055-0.49-0.375-0.2054.560.1450.017-0.15
2.4-0.202-0.095 1.200.1820.069 -0.87-0.203-0.1615.080.0950.029-0.36
3.0-0.068-0.0461.410.0530.048-1.49$9 \\times 10^{-5}$-0.0695.320.0100.017-0.54
3.6-0.026-0.0221.380.0030.022-1.400.036-0.0274.34-0.0110.004-0.27
4.2-0.012-0.0111.28-0.0090.010 -1.150.034-0.0113.34 -0.011$2 \\times 10^{-4}$-0.03
5.0-0.005-0.0051.19-0.0110.004-0.870.024-0.0042.48-0.007$-5 \\times 10^{-4}$0.13
6.0-0.002-0.0021.12 -0.0090.001 -0.670.015-0.0021.93 -0.004$-4 \\times 10^{-4}$0.18
"} {"image_path": "images/43542198cb9e61ac18f5497f696b2fe6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Lamp$\\Delta I$ (per cent) Luminance$\\Delta T / \\mathrm{K}$, Bilateral colour temperature
luminancetemperature/KMeasuredCalculatedMeasuredCalculated
ehTotalb+cd+gTotalfiTotala+bdgTotal
$ 2021+0·8 $0·20·50·540·140·500·641·755·31·40·60·61·6
$ 2321+1·2 $0·20·50·540·140·540·681·377·11·90·81·02·3
$ 2452\\pm 1·3 $0·20·50·540·140·540·680·988·12·10·81·02·5
$ 2762\\pm 1·6 $0·20·60·630·140·540·681·11010·12·70·91·33·1
"} {"image_path": "images/02e7570ec503345d11c9ce7a21100da0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
质量数自旋和宇称衰变方式半衰期粒子能量 (MeV)热中子裂变
α(β)$\\gamma$
244(9 / 2-)α25分7.17+
245 ec;α(30%)44分7.11+
246α 35.7小时(sf 2100年)$\\begin{array}{r c l}6.753(78 \\%) \\\\6.719(22\\%)\\end{array}①$0.042-0.151+
247ec2.45小时0.295-0.460+
248α 350天(sf 700年)6.26(82%)6.22(18%)
249α 360年(sf$1.5\\times 10^{9}\\text{年})$6.194-5.6870.255-0.394+
250α 13年(sf$1.73 \\times 10^{4} \\mathrm{年})$6.024(83%)6.980(17%)0.043+?
251α800年+
252 α;sf(3%) 2.55年(sf 82年)6.112(84.5%)6.069(15.5%)0.043-?
253$β^-$18天0.27+
254sf$60.5\\pm 0.2天$-
"} {"image_path": "images/ab483ce1c52a75a47180e0e62403eaf3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型号 流量/($m^3$/h)扬程/m效率 (%) 转速/ (r/min)电动机功率/kW气蚀余量/m
KQL25-1252.820.62829600.752.3
42036
4.818 35
KQL40-1604.4333529602.22.3
6.33240
7.63040
KQL50-1008.813.65529601.12.3
12.512.562
1511.360
KQL50-100(I)17.513.76729601.52.5
2512.569
3010.569
KQL50-160(I)A16.43054296042.5
23.42862
282459
KQL65-125(I)A31.317.566296043.0
451671
5413.669
KQL65-200(I)3553.5552960153.0
505067
604668
KQL80-16035356329607.53.0
503271
602870
KQL80-160(I)B60.627722960114.5
86.624
10418
"} {"image_path": "images/3070da47028925d9715a24561b29fa5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称劳 动 定 额 实际 生产数量 (件) 实际耗用工时 ( 小时)备 注
工时定额产量定额
1234
每件 5 分钟1,250100主要工作。
每件 60 分钟-6080
每小时80件2,40020
合计200
"} {"image_path": "images/86b3e1faed2c354bb15163c35d0bb876.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
计数的次序十 分 频 状 态四 分 频 状 态
$C_d$$C_c$$C_b$$C_a$十进制数码译 码 与 门 的 组 合C·C$_c$译 码 与 门的 组 合
000000$\\mathbf{D_{103}\\ D_{104}\\ D_{105}\\ D_{106}}$00$D_{107} ~D_{108}$
100011$\\mathbf{D_{69}\\ D_{70}\\ D_{71}\\ D_{72}}$00
200102$\\mathbf{D_{78}\\ D_{74}\\ D_{75}\\ D_{76}}$00
300113$\\mathbf{D_{77}\\ D_{78}\\ D_{79}\\ D_{80}}$00
401004$\\mathbf{D_{81}\\ D_{82}\\ D_{83}\\ D_{84}}$00
501015$\\mathbf{D_{85}\\ D_{86}\\ D_{87}\\ D_{88}}$00
601106$\\mathbf{D_{89}\\ D_{90}\\ D_{91}}$00
701117$\\mathbf{D_{92}\\ D_{93}\\ D_{94}}$00
810008$\\mathbf{D_{95}\\ D_{96}\\ D_{97}\\ D_{98}}$00
910019$\\mathbf{D_{99}\\ D_{100}\\ D_{101}\\ D_{102}}$00
101010$\\mathbf{\\downarrow}$第10个脉冲01$\\mathbf{D_{109}\\ D_{110}}$
111011第20个脉冲10$\\mathbf{D_{111}\\ D_{112}}$
121100第30个脉冲11$\\mathbf{D_{119}\\ D_{114}}$
131101
141110
151111
"} {"image_path": "images/04ce9605048397b8da9943cad69a6f95.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机 型L. 300 L. 301
发动机制造厂家,型号普拉特·惠特尼JT3D-5 A普拉特·惠特尼JT3D-5 A
台数 起飞推力(公斤/傅分)$ 4 \\times 9,525 / - $$4 \\times 9,525/-$
最大翻修时限(小时)
燃料规格JP-4, JP 5JP-4, JP 5
容量(升)87,26487,204
滑油规格
容量(升)
附 注 涡轮风扇式,有反推力装置 涡轮风扇式,有反推力装置
"} {"image_path": "images/c8b6317b2ecd38af53b1a73c9e26666a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分配的资金(美元)阶 段 1阶 段 2 总 时 间 (天)
美 元时间(天)美 元 时间(天)
400200320058
600200340036
800200—6003600—20036
1,000600140034
1,200600—8001600—40034
1,400600180023
"} {"image_path": "images/b84f1f4ace7bcc19f8136b62ee982763.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Guns.Guns.
Le Terrible,110L'Hclatant,66
Le Foudroyant,104L'Henry,66
Le Soliel Royat,102L'Ecueil,64
L'Admirable,100Le Thouloufe62
Le Triumphant,96L'Eole,62
L'Orgueilleux,92Le Serieux,60
Le Triumphant,92Le Conieent,60
Le St. Phillippe,90 Le St. Louis,60
Lie Magnifique,90Le Fendant,60
Le Tonnant,90Le Vermandois,60
Le Scctrė,90Le Temeraire, 60
La Couronne,86Le Laurier,60
Lia Vainqueur,86Le Furieux,60
Le Monarque,84La Zelande,60
Le Pompeux,85L'Entreprenant,59
L' Intrepide,80Le Fleuron,56
Le Neptune,76Le Trident,56
Le Parfait,76Le Diamant,56
Le St. Eip:it,70Le Sage,54
Le Bizarre,70Le Ruby,54
L'Invincible,70Le Mercure,53
L'Heureus,69La Perle,50
Le Conftant,68La Medufe,50
"} {"image_path": "images/b9a2bad480cb01e9d1a933878221f17a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1986年凭 证摘 要借 方贷 方借或货余 额
日 号
72410预提水电费4,5004,500
2812预提利息费150//4,650
731月 结4,6504,650
"} {"image_path": "images/e0710fbdfa684d8466aaf7c60dfeaaf1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Source ofvarianced.f.Age (years)
5101215182328334053
Replication1.50349.240314.129122.692025.9439 18.37845.3640.0732.34925.4974
Population12$.0251^{ns}$$.4698^{n8}$$1.0625^{n8}$$2.9277^{n8}$$6.3395^{n8}$$10.9351^{n8}$$14.0616^{*}$$16.1853^{*}$$19.2365^{*}$$20.6731^{*}$
Block error12.0153.3274.74372.45203.96125.77086.11296.09035.95289.9509
Families inpopulations103$.0090^{\\mathrm{n8}}$$.0841^{ns}$$.1547^{\\mathrm{n8}}$$.4911^{ns}$$.8075^{ns}$$1.2114^{ns}$$1.5294^{ns}$$1.9261^{ns}$$2.8533^{\\mathrm{ns}}$$5.7441^{ns}$
Plot error65.0075.0704.1413.4428.6914.98461.33451.75212.99096.3330
"} {"image_path": "images/48bb973c06581d48f8b24b52ec8a4751.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\Sigma$10.94945.82834.0093-0.3537績表 4.
$-y_k$$\\eta _1^{(k)}$$\\eta ^{(k)}$$\\eta _2^{(k)}$$\\eta _3^{(k)}$$∑^{(k)}$10
01111
11.094940.582830.40093-0.035371
21.03861210.56189710.5925595-0.49248851.70058032
31.16079040.57180010.8787557-0.89164371.71970263
41.43785780.61728011.2611408-1.32816321.98811514
51.87392340.70973021.7710671-1.86797762.48674815
62.49949580.86216522.4546320-2.57466303.24163006
73.36888641.09167153.3756789-3.52174184.31449517
84.56254861.42177374.6213684-4.80272345.80296238
96.19831541.88547466.3102392-6.54154807.84708149
108.41652782.52658628.6033984-8.905186810.641325510
111.14442980.34081511.1719847-1.21199811.44525012
121.55664590.46143861.5957304-1.64934341.964471413
$ \\frac {\\eta^{(12)}}{\\eta^{(11)}} $13.6019313.5392713.6156313.60847
132.11767940.62609692.1720915-2.24438022.671487614
142.88117580.85055062.9561602-3.05400633.633880315
153.92018611.15627554.0228954-4.12263244.943674516
165.33889871.57251435.4742841-5.65458716.726110017
$\\frac{\\eta^{(16)}}{\\eta^{(18)}}$13.6064113.59982413.6078213.60704
177.25763762.13907337.4490919-7.69418779.151615018
189.87528602.910129110.1361302-10.469443712.452101619
191.34371230.39594091.3792309-1.42457021.694313921
201.82837020.53872411.8767200-1.93840162.305412722
$\\frac{\\eta^{(20)}}{\\eta^{(19)}}$13.6068613.6061713.6070013.60692
"} {"image_path": "images/4ee8d285db2607bbc17d33b0352b3011.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
氧分子数氧原子数$2^n$化学当量浓度 (%)物 質 举 例
在 空 气 中$X = \\frac{20.9}{0.209 + n}$ 在 氧 气 中$\\mathrm{X}_{0}=\\frac{100}{1+\\mathrm{n}}$
10.545.580.0
1.029.566.7氢气、--氧化碳
1.511.857.2
2.017.350.0
22.514.344.5
3.012.240.0甲醇、二硫化碳
3.510.736.4甲烷、醋酸
4.09.533.3
34.58.530.8
5.07.728.6乙炔、乙醛
5.57.126.7
6.06.525.0乙烷、乙醇
46.56.123.5氯乙烷
7.05.622.2乙烷、甲酸乙酯
7.55.321.1
8.05.020.0丙酮
58.54.719.0
9.04.518.2丙烯、丙醇
9.54.217.4
10.04.016.7丙烷、乙酸乙酯
610.53.8216.0
11.03.7015.4丁酮
11.53.5014.8
12.03.3614.3乙醚、丁烯、丁醇
712.53.2313.8
13.03.1013.3丁烷、甲酸丁酯
13.53.0012.9
14.02.8912.5二氯苯
"} {"image_path": "images/c6540e01c9379bf21c36be333d1b8ceb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号泵 站名 称水 泵 型 号(电动机型号)设 计 参 数最大反转速
$\\frac{N_{\\text {设 }}}{(\\mathrm{r} / \\mathrm{min})}$$\\begin{matrix} Q _ { 设 } \\\\ ( \\mathrm { L } / \\mathrm { s } ) \\end{matrix}$$H_设$(m)$W _{轴、设}$(kW)$ \\begin{array}{l}W_{\\text{电机}}\\\\ (kW)\\end{array} $ $N_{\\text {逸.大 }}$(r/min)$\\frac{N_{逸.大 }}{N_设} $
1福州市×水厂二泵站20Д-9аJSQ-1410-6990530503806800.69
2福 州 市某一泵站Д型350 × 300(底进水)(GDQ, 380 伏)9802541711011010501.07
3武汉市某一泵站20sh-19(JS127-6)970560221471859600.99
4
武汉市某一泵站20sh-19(JS127-6)970560221471858800.91
"} {"image_path": "images/7970010fc7831ee3d6d7b1c76d414f23.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
代码全市湘桥区枫溪区潮安区饶平县开发区
港澳台商投资2002607950594428
与港澳台商合资经营210411010966
与港澳台商合作经营220119383629115
港澳台商独资2309327421356
港澳台商投资股份有限公司2406411
其他港澳台投资29022
外商投资300104372027614
中外合资经营3101863612
中外合作经营320522116816
外资企业33027711045
外商投资股份有限公司34022
其他外商投资3906321
八、按三次产业分组
1、第一产业18171001214502
2、第二产业2744310137484627954101
3、第三产业3739225375152158213943
九、按城乡分组
1、城市7536313512632994144
主城区11136652305742474144
城乡结合区11238718305212520
2、镇3997305116252066
镇中心区121148189464928
镇乡结合区1222444205111111127
特殊区域12372115011
3、农村411921023801529
乡中心区210
村庄220411921023801529
"} {"image_path": "images/64a2d14073ca6a2d6f5a6deff70ec8e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
危险条的编号伤害事件实例伤害实例合理预防措施实例
稳定性不足5.2.6儿童在产品上时产品翻倒脑部或其他内伤,骨折规定产品应能够承受的足够负载。
儿童被卡夹在产品下面挫伤、骨折规定产品应能够承受的足够负载;限制产品质量。
结构完整性不良5.2.7儿童在产品上时产品塌陷脑部或其他内伤,骨折规定产品应能够承受的足够负载;考虑动态负载。
儿童被卡夹在产品下面挫伤、骨折规定产品应能够承受的足够负载;考虑动态负载。
危险高处5.2.8从高处掉下脑部或其他内伤、骨折在设备或建筑物高处部分装配屏障。
运动和旋转物件5.2.9碰撞划伤、挤压、切断装配防护装置或屏障;减速。
缠绕切断、勒死避免剪切结构;对于运动/旋转件,装配防护装置或屏障。
噪声5.2.10处于高峰或脉冲噪声听力损伤限制产品发出的声音水平。
处于持续噪声听力损伤限制声音水平和(或)暴露时间。
溺死 5.2.11窒息限制儿童接近水(含水的产品)。
吸力 5.2.12半圆形物件放在口部和鼻子上窒息避免产生真空可能性。
热危险
可燃性和燃烧特性5.3.1火灾烧伤通过选择材料限制可燃性;对于可燃产品,要求儿童安全包装;提供安全使用信息.
冷热表面5.3.2接触烧伤限制表面温度:避免产品被太阳光加热;提供说明。
冷热液体5.3.3接触烧伤、烫伤调 节 出 口 温 度 ; 要 求 容 器稳定。
明火5.3.4火灾烧伤提供屏障;对于打火机,要求儿童安全装置。
熔化5.3.5接触烧伤
高温和低温5.3.6儿童处于热环境太高中心温度限制环境温度。
化学品危险
毒性5.4接触,吸入,摄食中毒,窒息要求儿童安全包装;规定警示信息。
腐蚀性5.4接触,吸入,摄食烧伤,窒息对于腐蚀性产品,要求儿童安全包装;规定警示信息。
过敏性5.4接触,吸入,摄食系列过敏反应避免已知皮肤接触可能产生过敏反应的物质;规定警示信息。
致癌性5.4接触,吸入,摄食生理反应避免已知的致癌物。
用电危险
产品吸引力和位置5.5儿童被产品吸引,触摸热表面,例如灯泡烧伤非玩具避免吸引儿童的设计;给热表面装防护装置。
"} {"image_path": "images/0f4935b06561297af2adcef409c43cab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
评价项目A评价B等级CD合计得分参照标准
评价指标评价分值16’8-76-54-32-1目标正确, 要体现认知、技能、情感三方面要求:内容切合学生实际。
教学目标内容目标明确
内容恰当
评价分值4010-98-76-54-1教学民主,师生关系融洽;分类指导,能有效指导学生进行小组学习;增加体验式学习和研究性学习;能充分调控已有人、物环境资源、教学媒体优化。
教学过程方法师生互动
生生互动
用活资源
激活思维
评价分值24’8-76-54-32-1学生能积极主动参与;学习兴趣浓厚;不同层次的学生通过学习能取得不同程度的提高和收获。
教学即时效果参与积极
分层提高
效果明显
评价分值20’10-98-76-54-1知识广阔,有良好的教学技能,评价用语生动、准确,有激励性;并能根据学生学习信息的反馈及时、适时作适当的、自然的调控。
教学基本素养调控自如
功底扎实
加分幅度10-98-76-54-1评价意见
特长加分
加分理由:
$学校\\underline{\\phantom{00}\\phantom{00}\\phantom{00}\\phantom{00}}班级\\underline{\\phantom{00}\\phantom{00}\\phantom{00}\\phantom{00}}执教者\\underline{\\phantom{00}\\phantom{00}\\phantom{00}\\phantom{00}}评价人\\underline{\\phantom{00}\\phantom{00}\\phantom{00}\\phantom{00}}$
"} {"image_path": "images/87eca11926cf47caff1db55729c5ca74.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
故障原 因 分 析排 除 措 施
泄漏1.内部泄漏
①配油盘磨损严重①检查配油盘接触面,并加以
修复
②轴向间隙过大②检查并将轴向间隙调至规定
2.外部泄漏范围
①轴端密封的磨损①更换密封圈,并查明磨损原因
②盖板处的密封圈损坏②更换密封圈
③结合面有污物或螺栓未拧紧③检查、清除、并拧紧螺栓
④管接头密封不严④拧紧管接头
异常声响1.密封不严,进入空气1.拧紧有关的管接头
2.进油口堵塞2.清洗,排除污物
3.油液污染严重或有气泡混入3.更换清洁油液,拧紧接头
4.联轴器安装不同心4.校正同心度,使在规定范围
内,排除外来振动影响
5.油液粘度过高,油泵吸油困难5.更换粘度较低的油液
6.叶片已磨损6.尽可能修复或更换
7.叶片与定子接触不良,有冲7.进行修整
撞现象
8.定子磨損8.进行修复或更换。如因弹簧
过硬造成磨损加剧,则应更换刚
度小的弹簧
"} {"image_path": "images/c2a1ed7b93f25e5684ac19a18c05f65a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
3000BC2500BC2000BC1500BC1000BC
Balgatheran 4(2)1.364.06---
Knowth4.38----
"} {"image_path": "images/9c32cf11ab0b5b32465784aa97ab8e29.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
現 代 普 通廣 韻 話anianuanyanəninun
覃一談一貪南暗蘭三甘
咸二衛二站暫攙衫减陷監岩
鹽三嚴三沾陝染貶廉炎嚴腌
添四點念兼嫌
凡三凡範泛
侵三沉森針審甚林心今音飲
寒一單難散干安
山二删二盼綻山班慢棧艱眼閑奸顔
仙三元三展戰善然編連鮮件建言憲
先四邊天年千堅賢
桓一般判叛漫端亂算官歡
山二删二鰥幻關還灣
仙三( 戀 )傳專川軟全宣權員緣
元三先四反煩晚元喧遠犬玄淵
痕一根很恩
真三殷三珍陳真身人賓民鄰親勤隱
魂一本盆門敦論寸孫昏温
諄三倫遵準春純
文三分焚憤問
"} {"image_path": "images/3507f2e758ee2e83b0a51e10277a170f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
本帐页数
本户页数
"} {"image_path": "images/b4a06cf111940445615b37073a42aacb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
船 射科 笑船长 L(m)最少教室数(只)较少带自亮(燃)浮灯数(只)
客船L<6084
$120 > L \\geqslant 60$126
$180 > L \\geqslant 120$189
$240 > L \\geqslant 180$2412
$L \\geqslant240$30.5
货船L<10084
$ 150>L \\geqslant 100 $106
$ 200>L \\geqslant 150 $126
$L\\geqslant200$147
渔船 L<4542
$75>L \\geqslant 45$63
$L\\geqslant75$84
"} {"image_path": "images/8a3600ce23ffb8a1d894b0085fb05ec4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
經曦考卷二百二十四王崇鼎校馬琛書校浙江書局刋孫樹禮校
"} {"image_path": "images/01616c9a37f5843400810ea89f984065.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工 人 姓 名上月的評 分日 期平均評分
23456.........
叶尔米施基娜4.8035554
卡拉施尼柯娃4.8955555
瓦西里也娃4.8055455
..................
..................
"} {"image_path": "images/33bb1c8b5ed5459f17535b8e9688c5a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
容器部件位 置应力的起因应 力 的 类 型分类
平封头中心区内 压薄膜应力$P_m$
弯曲应力$P_b$
与壳体连接处内 压薄膜应力$P_L$
弯曲应力$Q^{(2)}$
多孔的封头或壳体均匀布置的典型孔排压力薄膜应力(沿横截面平均)$P_m$
弯曲应力(沿孔桥的宽度平均,但沿壁厚具有应务梯度)$P_b$
峰值应力F
孤立的或非典型的孔排压力薄膜应力Q
弯曲应力F
峰值应力F
接管(见 5.6 节)在4.5节所给出的补强范围内 压力和外部载荷和力矩,包括由于连接管道自由端位移受约束所引起的外部载荷和力矩总体薄膜应力$P_m$
弯曲应力(不是总体结构不连续应力)通过接管壁的平均$P_m$
在4.5节所给出的补强范围外 压力和外部轴向、剪切和扭转载荷,包括由于连接管道自由端位移受约束所引起的外部轴向、剪切和扭转载荷总体薄膜应力$P_m$
压力和外部载荷和力矩,不包括由于连接管道自由端位移受约束所引起的外部载荷和力矩薄膜应力$P_L$
弯曲应力$P_b$
压力和所有外部载荷和力矩薄膜应力$P_L$
弯曲应力Q
峰值应力F
接管壁总体结构不连续薄膜应力$P_L$
弯曲应力Q
峰值应力F
膨胀差薄膜应力Q
弯曲应力Q
峰值应力F
覆层任意膨胀差薄膜应力F
弯曲应力F
任意任意径向温度分布$^{(3)}$当量线性应力$^{(4)}$Q
应力分布的非线性部分F
任意任意任意应力集中(缺口影响)F
"} {"image_path": "images/8cdcb5cf6165b6952f5a03b7a390ebcf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GloucestershireCounty Library
992O891O7 X
Askews21-Aug-2002
AF£10.50
"} {"image_path": "images/d4a87c9c15f6aeb37ff7b9e2da02c89d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(1b)time periods$\\tau $
01234
$e\\varepsilon E$1110001
2001003
3001003
4000006
5011002
"} {"image_path": "images/094560f600010e87062ce62a165d96dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
管 理 組1 9 4 2 年
就 业 人 員 总 数
德 国 ↑
男 子妇 女总 計男 子妇 女
材料的改良(32)167,70357,783225,436145,85853,163
金属制品的生产(33)⋯⋯⋯⋯95,40977,071172,48085,57974,231
III. 建筑业⋯⋯⋯⋯652,81134,614687,42531,182
建筑材料的生产(41)⋯⋯⋯⋯218,80518,315232,120153,44816,371
建筑工程⋯⋯⋯489,00616,290435,305226,24814,811
IV. 加工业其他部門1,071,2001,197,4622,268,662948,6941,148,676
木材加工业(43)155,77652,341208,117136,15649,727
玻璃制造业(44)41,14817,10158,24934,76615,708
陶磁业(45)⋯⋯46,11981,75980,87887,88531,957
制紙业(53)⋯⋯37,91563,800103,21585,18163,272
印刷业(54)⋯⋯105,80167,465178,266102;38566,646
制革业(61)⋯⋯88,75474,876168,63079,84772,179
紡織业(62)⋯⋯277,801457,138734,139250,018432,567
縫紉业(63)⋯⋯47,582191,891239,42844,874187,217
食品业(71)⋯⋯166,798214,228381,021148,879202,806
啤酒酿造业(72)⋯⋯58,66912,34071,00954,80211,997
制糖业(74)⋯⋯30,5584,45185,00922,2104,089
酿酒业(75)⋯⋯14,8345,57320,40613,2915,516
1937年德國境内6,598,5082,557,4139,150,9215,425,0822,969,766
奥地利⋯⋯⋯⋯416,984162,490579,424343,010150,546
苏台德州⋯⋯⋯169,87184,628254,494138,87177,908
总计⋯⋯⋯⋯⋯⋯7,180,8182,804,5269,984,8395,906,9132,598,220
#气工业(和电气工业管理組的数字相同)299,888216,719516,607266,115185,869
"} {"image_path": "images/738ad7a9814f3835b64c04afabc7fe29.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
System$F_{n }\\ \\mathrm{in\\ series}$ IP(eV) Peak$\\omega(\\mathrm{eV})$
n=1n=2n=3
K atom (expt.) ${ }^{\\mathrm{a}}$0.9680.0090.0014.341.61
K atom (calc.)0.945 0.0330.0034.341.64
$\\mathrm{KXe}_6$ (calc.):
Frozen Xe0.900.040.024.771.97
QCMT method0.900.040.024.771.96
QCMT method $+\\eta(t)$0.63 0.210.064.77${1.96}^b$
QGWP method0.600.210.064.771.39
"} {"image_path": "images/ebad4cf62c4624f0f6d0f7ef148dac86.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目分 类 确 实有 过 %平 均 有 过人 数综 合得 分 发 生 率回 归 分 析
总 计13.0%3.950.44
性别女男5.1%21.2%2.54.239.353.2被比较** 4.7
收人40% 最 低 者55% 中 等 者5% 最 高 者5.0%15.8%45.1%2.83.17.538.048.565.4被比较** 2.2** 6.1
"} {"image_path": "images/eb806c33eafc6e755dfd3cae14702d16.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
k$\\alpha=0·01$$\\alpha=0·05$$\\alpha=0·10$
$X^2_{10,k}$$Y^2_{10,k}$$W^2_{10,k}$$X^2_{10,k}$$Y^2_{10,k}$$W^2_{10,k}$$X^2_{10,k}$$Y^2_{10,k}$$W^2_{10,k}$
100·01540·01540·00680·04290·04290·04290·07380·07380·0738
20·0153·0153·0043·0338·0338·0338·0668·0668·0668
30·0175·0097·0097·0661·0175·0175·0661·0661·0661
40·0088·0088·0088·0329·0329·0329·0995·0995·0329
50·0172·0172·0172·0592·0172·0172·0592·0592·0592
60·0108·0108·0108·0408·0408·0408·1494·0408·0408
70·0279·0072·0072·0279·0279·0279·1150·0279·0279
80·0199·0199·0199·0910·0199·0199·0910·0199·0199
90·0182·0182·0182·0724·0182·0182·0724·0724·0724
100·0145·0145·0145·0567·0145·0145·0567·0567·0567
200·0187·0187·0187·0187·0187·0187·2045·0187·0187
"} {"image_path": "images/c80cfa68fe2a08fc6c6fd4e52662ff1e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
yan
门 方 人 #uywu
$\\text{剡}_3$火 火刂 #oojh
$\\text{咽}_3$口 口 大#kldy
忄厂犬#nddy
$\\text{烟}_2$火 口 大#oldy
$\\text{胭}_3$月 口 大#eldy
$\\text{崦}_3$山 大 日 乙mdjn
$\\text{淹}_3$氵大 日 乙idjn
$\\text{焉}_3$一 止 一 灬ghgo
艹方人#aywu
门 大 日 乙udjn
氵西土⊖i s f g
月 大 曰 乙edjn
一 止 一 阝ghgb
$\\text{嫣}_3$女一止灬vgho
$\\text{延}_3$ノ止廴 #thpd
$\\text{闫}_3$门 三 #udd
$\\text{严}_3$一#厂#godr
$\\text{妍}_3$女一廾#vgah
艹二儿#afqb
$\\text{言}_3$言言言言YYYY
$\\text{岩}_3$山 石 #mdf
$\\text{沿}_3$氵几口⊖imkg
$\\text{炎}_2$火火#oou
$\\text{研}_3$石一廾#dgah
$\\text{盐}_3$土卜皿#f h l f
"} {"image_path": "images/a3c94d031c3ce456747b3690d0b1030a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
创业者行动表
第二份财政预算
a) 自有资金
● 现可供使用的储蓄:$\\underline{\\quad}\\text{马克}$
● 到企业开始运营时还可结余:$\\underline{\\quad}\\text{马克}$
● 企业现有财产(运输工具、机器设备等)兑现:$\\underline{\\quad}\\text{马克}$
b) 外来资金
● 银行贷款 :马 克
● 向亲戚借款 :马 克
c) 资助金
划归为自有资金 ;
● 政府自有资金贷款项目 :$\\underline{\\quad}\\text{马克}$
划归为外来资金 ;
● 联邦州资助金 :$\\underline{\\quad}\\text{马克}$
● 联邦政府 ERP 项目资助金 :$\\underline{\\quad}\\text{马克}$
● 德意志协调银行的补充项目 :$\\underline{\\quad}\\text{马克}$
d) 透支贷款$\\underline{\\quad}\\text{马克}$
(通常政府对企业的资助不包括企业初始阶段所需的储备金,因此创业者在需要透支贷款时,应事先向开户银行申请。)
e) 保证金$\\underline{\\quad}\\text{马克}$
银行是否为你提供足够的担保金 ? 如果你的保证金不够 ,那你可以考虑联合担保是否可为你提供保证金 。
f) 资本费用$\\underline{\\quad}\\text{马克}$
在完成财政预算之后,你就能计算出每年你要支付的利息,担保酬金和清偿债务有多少.
"} {"image_path": "images/8b434af536cb873eb5aea341db459e0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
行 星水 星金 星地 球火 星
质量(克)$3.330\\times 10^{26}$$4.870 \\times 10^{ }$$5.976 \\times 10^{27}$$6.421\\times 10^{2 }$
($\\bigoplus$=1)0.05540.81510.1075
赤道半径(公里)2440605063783395
($\\bigoplus$=1)0.3830.94910.532
体积 ($\\bigoplus$=1)0.0560.85610.15
平均密度 $(克/厘米^3)$5.465.265.523.96
表面重力加速度($\\bigoplus$=1)0.370.8810.88
行星自转周期58.646天243天23时56分4.1秒24时37分22.6秒
赤道和轨道交角8< 28°177°23°27'~23°26'(2000年)23°50‘
同平太均阳距的离天文单位0.3870.72311.524
公 里$ 0.58\\times 10^{8} $$1.08 \\times 10^{3}$$ 1.5\\times 10^{8} $$2.28 \\times 10^{4}$
行星公转轨道偏心率$\\varepsilon$0.2060.0070.0170.003
轨道倾(交)角i3°.41°.9
轨道运动平均速度 (公里/秒)47.8935.0329.7924.13
行星公转的周期 (日)87.969224.701365.256686.98
与地球的会合周期 (日)115.88583.92-779.94
卫 星 数 目--12
备 注($\\bigoplus$=1) 表示地球作为 1 与其他行星比
"} {"image_path": "images/fee760d035146830b9ee9979c255af94.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
饮片名称浮萍饮片规格长段
生产工序操作过程质量标准使用设备
序号名称
1拣选拣去杂草、泥等杂质。杂质<3%人工拣选
2抢洗快速洗净,取出,沥干。水中逗留时间<3分钟。无伤水。浸洗池
3切制切制长度 10--15mm,不符合规格的段,重新切制。异型片<10%剁 刀 式 切 药机
4干燥切制后及时干燥,温度<60℃筛去灰屑。水 分 含 量 <15% (15%)异型片<10%3号筛
5包装徒手包装,贴上标签。密封,无漏气现象
成品质量标准
符合 1989 年版《湖北省中药炮制规范》
"} {"image_path": "images/5de8d0a911cf007ae5475b294fd67494.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
文件种类技 术 文 件
质量要求性文件序 号名 称
1产品图纸
2产品技术规格
3内控质量标准
4材料质量标准
5包装质量标准
方法性文件1工艺过程卡
2作业指导书 (工艺操作卡)
3设备调正、更换刀具卡
4工艺守则(典型工艺)
5产品试验规范
6工序管理点表(自检表)
7检验指导书
8工序质量表
9质量特性分析表
"} {"image_path": "images/ac984f5bbba71c668b50025b38d2e794.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Initial meridiansShips of all kindsPer cent
NumberTonnageShipsTonnage
Greenwich37,66314,600,9726572
Paris5,9141,735,083108
Cadiz2,468666,60253
Naples2,263715,44844
Christiania2,128695,98843
Ferro1,497567,68223
Pulkowa987298,641$1^1/2$$1^1/2$
Stockholm717154,180$1^1/2$1
Lisbon491164,00011
Copenhagen43581,88811/2
Rio de Janeiro25397,0401/21/2
Miscellaneous2,881534,569$4^{1/2}$$2^1/2$
Total57,69720,312,093100100
"} {"image_path": "images/ddb9be54800413a337f94c407e28639e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日期项目123456
天气
温度
草坪浇水冷季型草
暖季型草
修剪冷季型草
暖季型草
除草
施肥冷季型草
暖季型草
喷药
切边
乔灌木浇灌
排水
中耕
除草
施肥
修剪乔木
灌木
绿篱
藤本
喷药
枯木挖除、补种
"} {"image_path": "images/ab8c7abd63ffc79a324be3ab36a0aba4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
h = 0123456
n =11
212
3147
4161830
5183388143
611052182455728
711275320102024483876
"} {"image_path": "images/1e569c28854de9ed80f498a9a8c29b51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号 矿 山 名 称总成本,万元/a计算矿砂量,万吨/a矿砂成本, 元/t
198719881987198819871988
全国平均合计1,192.131,970.88167.06217.837.116.20
其 中: 直属192.34360.1554.0395.433.563.79
地方国营907.791,554.73109.03208.008.837.49
乡镇集体32.0056.004.0014.408.003.89
1 黑 龙 江192.341,055.3254.63224.873.564.69
直属192.34400.1554.0395.133.563.79
地方国营655.17129.745.30
2 内 蒙920.94823.5794.89 70.089.7711.75
地方国营920.94823.5794.8970.089.7711.75
3 吉 林24.1611.702.91
地方国营22.106.303.51
乡镇集体12.065.402.22
4 湖 北32.0044.004.009.008.004.89
乡镇集体32.0044.004.009.008.004.89
5 宁 夏32.1513.5914.002.182.306.23
地方国营32.1513.5914.002.182.306.23
6 青 海8.700.7411.76
地方国营8.700.7411.76
"} {"image_path": "images/cefbe9d74232a904da6f8709c260d456.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
輜重營步兵連單位
五〇四一二六北洋
三八六一二六東北
步兵
六團九○#七二甲種東北
四團六$\\bullet$#四八乙種
四團六$\\circ$#四八北洋
"} {"image_path": "images/0803cf9bb120656698e57b4fb76a9ee4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DATE DUE
"} {"image_path": "images/278b4cfd214aaa1d24703921ed77484f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组别工 具练习工作解决新问题参加人数成绩%
实验组钻 子钻 洞支撑绳索1471
箱 子盛 物做垫脚台743
钳 子打开铁丝结支撑木板944
秤 锤称重量做钉锤用1275
回形针夹 纸做挂钩用757
控制组同实验组同实验组10100
7100
15100
12100
786
"} {"image_path": "images/9084671524d9eddbb3b72816da2fe2d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HASLEADSANTICS
ONTARGETCLOTHE
ROOMMATETENSER
DIKEPARLORGAME
ENEREINAFIN
STRAYLUUUPACA
NNEMAGACAD
FONDESTWHISTLE
INORTETSST
ETTEARIAPASHA
FHASPRAYPUB
DEREKJETERCADS
OLIVIAONEHORSE
MAZIEREDNORTON
SMELLSSSAGNANT
"} {"image_path": "images/7b3c6e18a53391a34cc3d31f8f00e08f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
D 5026铁粉低氢型F , HAC或DC(+)≥ 50≥ 40≥ 23≥ 4.8
D 5326≥ 53≥ 42≥ 20≥ 4.8
D 5826≥ 58≥ 50 ≥ 18≥ 4.8
D 5000特 殊 型F , V , O , H或 全 位 置AC或DC(±)≥ 50 ≥ 40≥ 20≥ 4.8
D 5300≥ 53≥ 42≥ 18≥ 4.8
"} {"image_path": "images/22224802460b6b5afb383b2d987f341b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
靶点药物作用机制MSRAPSCDUVUNSLE
IL-11oprelvekin/Neumega重组蛋白IIIIIII
IL-12ustekinumab靶定 p40 共用亚基人源化抗体-+IIII
ABT 874人源化p40抗体IIII
IL-23apilimod口服小分子IL-12/IL-23生成抑制物IIII
IL-15 HuMax-IL-15/AMG-714人源化抗-IL-15抗体II
IL-17secukinumab/AIN 457人源化抗-IL-17抗体IIIIIIIII
ixekizumab/LY 2439821人源化抗-IL-17抗体II
AMG 827人源化IL-17受体的抗体IIII
IL-18IL-18 binding protein重组蛋白IIII
IL-21ATR-107人源化 IL-21 受体抗体IDcd
IL-22fezakinumab人源化抗-IL-22 抗体III
IL-23anti-p19抗-p19 亚基抗体I
LY 2525623抗-p19 亚基抗体I
GM-CSFsargramostim重组蛋白III
TNF-αinfluximabTNF-α 嵌合抗体+++IUc,+
adalimumab ( Humira )人 TNF-α 抗体-+++III
etanercept ( Enbrel )TNF受体 p75 融合蛋白++
certolizumab人源化的 TNF-α Fab 段++
ART 621TNF-α 结构域抗体IIII
IFN-γfontolizumab人源化抗-IFN-γ 抗体-I/II
AMG 811人源化抗-IFN-γ 抗体I
IFN-βIFN-β-1a重组蛋白+
IFN-β-1b重组蛋白+
IFN-αrontalizumab人源化 IFN-α 抗体II
sifalimumab人源化 IFN-α 抗体II
MEDI-546IFN- $\\alpha / \\beta$ 受体 $\\alpha$ 链抗体II
"} {"image_path": "images/0886b9fdd048f4eea1d77d5c81efde21.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Test.By Formula.By Experiment.
No.15... ... ...·64. ·5
,, 16... ... ...1·32?
,, 17... ... ...2·382·0
,, 18... ... ...5·965·4
,, 19... ... ...7·797·5
,, 20... ... ...12·5012·5
,, 21... ... ...22·4022·3
,, 22... ... ...23·5623·7
,, 23... ... ...24·7223·0 ?
,, 24... ... ...32·1532·6
,, 25... ... ...49·62$55\\cdot0 \\begin{cases}\\text{Marked} \\\\ \\text{High.}\\end{cases}$
"} {"image_path": "images/aef0b38f6af6e787b5b38c770a62b229.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
复种剂量接 种 途 径 和 方 法保存条件
(毫升)
第二次第三次
同初种划痕:在前臂划\"井\"字1厘米者皮注:上臂外侧三角肌中部2~10℃
同初种上臂外侧划0.4厘米或上下平压20~30下2~10℃
皮下注射,四年后加强一次2~10℃
II型一粒III型一粒同初服口服,每年一次,连服三年(用冷开水送服)2~10℃
0.50.50.5皮下注射,隔三年加强一次20℃以下
0.40.40.4皮下注射,每1-3年加强一次干、冷、暗
0.50.5皮下注射,每年加强一次2~10℃
0.50.5皮下注射,每年加强一次干、冷、暗
0.50.5皮下注射,次年加强一次,以后于受伤后再加强注射干、冷、暗
0.40.4皮下注射,全程注射后每年加强一次干、冷、暗
0.30.3皮下注射2~10℃
接触后5天内作肌内注射2~10℃
"} {"image_path": "images/2ece034c23d0bd2de81bc27103e4a66a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地址 ▼注册时间 ▼登陆次数 ▼会员类型 ▼照片备注 ▼单击
河北省石家庄市2010/1/121普通会员#(0)
安徽省蚌埠市曹2009/11/1223普通会员#(0)
江苏省南京市 2011/8/741VIP会员#(0)
安徽省合肥市蜀2011/4/562普通会员#(0)
安徽省合肥市黄2011/5/410普通会员#(0)
河南省信阳市洲2011/5/575普通会员#(0)
河南省洛阳市 2010/3/535普通会员 #(0)
"} {"image_path": "images/7c2a8c0bbf5ec7b891d880c596ec1a2a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
填料名称$\\text{堆积密度}$$(\\rho_p)$$(\\text{kg/m}^3)$干填料因子($\\sigma /{e^3} $)($m^{-1}$)$ \\begin{array}{l}\\text { 填料因子 } \\\\ \\text { ( }\\phi\\text { ) } \\\\ \\left(\\mathrm{~m}^{-\\mathrm{r}}\\right)\\end{array} $
拉西环70012801500(直径) × (高) × (厚)
9607401000
505400450
640290260
457177205
673339
430130175
714243280
40080105
鲍尔环565300(直径) x (高)(直径) x (高) x (厚)(直径)
480160
72.6170
457130
35566
阶梯环97.8172(直径) x (高) x (厚)
67.5115
弧鞍形725360
1400
645148
矩鞍形548320(名义尺寸) × (厚)
532130
$θ$网形鞍形网压延孔环49040目,丝径0.23~0.25mm60目,丝径0.152mm
340
355
"} {"image_path": "images/b8fc41cb3a979163201261f9a4b8c010.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0257谢铭熙
0251朱振杰
3 41408梁伟傑市财商学校44.62
1405姚臻
1409汪彬
1406庄志壕
4 82203彭奕焯河田中学47.67
2205李铖
2207马怀尊
2204曹文港
2南外高中DNS
3广州四中 DNS
5肇庆华赋DNS
7东莞南博职校DNS
"} {"image_path": "images/36b158a72c3c4c135527b378f97a4b11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
タテ社会の人間関係中根千枝講談社1967 年
「甘え」の構造土居健郎弘文堂1971 年
日本人の意識構造会田雄次講談社現代新書1970 年
日本人行動樣式荒木博之講談社現代新書1973 年
文学に現はれた我が国民思想の研究
津田左右吉岩波書店1951 年
日本人と日本文化稻富栄次郎理想社1963 年
日本の深層文化序説津城寛文玉川大学出版社1995 年
「日本らしさ」の再発見
浜口惠俊日本經済新聞社1977 年
恥の文化再考作田啓一筑摩書房1967 年
天皇と日本文化村上重良講談社1986 年
天皇と中国皇帝沈才彬六興出版1990 年
身辺の日本文化多田道太郎講談社学術文庫1988 年
照葉樹林文化上山春平中央公論社1969 年
日本文化の死角小松左京講談社現代新書1977 年
日本の心情吉川幸次郎新潮社1960 年
好奇心と日本人鶴見和子講談社現代新書1972 年
日本美の心理桂広介誠信書房1968 年
日本人の性格田新 · 築島謙三朝倉書店1968 年
「日本人論」の中の日本人
築島謙三大日本図書1974 年
日本人のパーソナリティ
世良正利紀伊国屋新書1963 年
日本人の心世良正利NHK ブックス1965 年
日本人の生活心理高木正孝創元社1954 年
日本語の個性外山滋比古中公新書1976 年
言葉と文化鈴木孝夫岩波新書1974 年
"} {"image_path": "images/0cf85d2970c6722c56ddc543c5f471dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
計算目的及開關速度應乘係數應 用 電 抗 $\\mathrm{X}_{1}$
發 電 機 及電 容 機同步電動機感 應電 動 機
A. 啓斷容量之計算
1. 一般倩彩
$8\\infty$ 或更慢之斷路器1.0次斬能震抗*暫態電抗不 計
$5\\infty$ 之斷路器1.1
$3\\infty$ 之斷路器1.2
$2\\infty$ 之斷路器1.4
2. 啓斷超過 500,000kVA(未乘係數)大部份故障電流直接由發電機(或經過電抗器)供給之場合:
$8\\infty$ 或更慢之斷路器1.1次暫態電抗* 暫態電抗不 計
$5\\infty$ 之斷路器1.2
$5\\infty$ 之斷路器1.3
$5\\infty$ 之斷路器1.5
3. 空氣斷路器(600 伏特以下)1.25同 上次暫態電抗次暫態電抗
B. 機械强度及瞬間電流之計算
1.一般情形1.6同 上次暫態電抗次暫態電抗
2.5000 伏特以下(除大部份故障電流直接由發電機供給之情形)1.5
"} {"image_path": "images/98523e514a1da6e6d40f6939b1caff79.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1 9 7 8 年1981年比1978年增长%
合计国营集体个体合计国营集体个体
17.817.8878.7878.7
105.338.356.210.8102.826.925.4774.1
82.582.288.860.7-17.5-1.1-13.9-6.5
11.04.05.91.195.522.520.3763.6
92.937.555.49.920.82.5
12.40.80.810.8799.21,625.0774.1
22.48.37.17.0412.536.1233.81,040.0
17.517.811.239.317.51.113.96.5
2.30.90.70.7400.022.2242.91,042.9
14.78.36.438.818.165.6
7.70.77.07.0 1,1261,771.41,040.0
"} {"image_path": "images/5426fec081629949afb69b691abb199c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 度季 度准 确 度方 法198019811982
径流预报预报流量(立米/秒)13.313.026.711.715.541.015.017.034.7
河道流量(立米/秒)11.814.025.713.414.547.517.817.2
$\\frac{预报-河道}{河道}$(%)+12.7 -7.1+3.9-12.7+6.9-13.7-15.7-1.2
阶段真实年法分析流量8.510.3~12.027.7
预报提高准确度(%)17.37.2~19.33.9
"} {"image_path": "images/bf66108f275a6b40f11187ab2a43c411.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
岩石名称剧、强风化岩石强烈破碎的新鲜岩石
坡高/m坡度坡形坡高/m坡度坡形
石灰岩( 中厚层 )小于1010~2020~40$ \\begin{array}{l}1: 0.75\\\\ 1: 1\\\\ 1: 1.25\\end{array} $ 直线形二级阶梯形多级阶梯形小于1010~2020~401:0.751:11:1 直线形直线形多级阶梯形
页岩小于1010~2020~40$ \\begin{array}{c}1: 1\\\\ 1: 1\\\\ 1: 1.25\\end{array} $直线形阶梯形阶梯形小于1010~2020~401:11:11:1 直线形二级阶梯形多级阶梯形
粉细砂岩及凝灰质砂岩小于1010~2020~40$ \\begin{array}{l}\\\\ 1:1\\\\ 1:1\\\\ 1:2\\end{array} $ 直线形二级阶梯形多级阶梯形小于1010~2020~401:0.751:11:1 直线形二级阶梯形多级阶梯形
辉长岩小于2020~40$ \\begin{aligned} & 1: 0.75 \\\\ & 1: 1 \\end{aligned} $ 直线形二级阶梯形小于2020~401:0.751:1直线形直线形
炭质板岩小于1010~2020~40$ \\begin{array}{l}\\\\ 1: 1\\\\ 1: 1\\\\ 1: 1.25\\end{array} $ 直线形二级阶梯形多级阶梯形小于1010~2020~401:0.751:11:1 直线形阶梯形多级阶梯形
千枚岩及片岩、凝灰岩小于1010~2020~40$ \\begin{array}{c}1: 1 \\\\ 1: 1.25 \\\\ 1: 1.25\\end{array} $ 直线形直线形多级阶梯形小于1010~2020~40 1:11:11:1.25 直线形阶梯形多级阶梯形
"} {"image_path": "images/2d7047d22559f3c3eafa3663830d681f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
枝 桂 药名
竹皮大丸竹叶汤桂枝茯苓丸蜘蛛散︵黄芩汤︶茯苓泽泻汤茵陈五苓散桂枝去芍加麻辛附汤桂枝加黄芪汤黄芪芍药桂枝苦酒汤防己茯苓汤方名
一分一两半两一两二两二分三两二两三两三两药量
去皮炮制
二四五二四四二三四二三二︵ 二附 二︶ 三二一六二#七二#二二#一二##一九七方号
"} {"image_path": "images/4eba80f316290e2ca84d2517f3a4d8e3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号钢 号化 学 成 分 (%)
牌 号代 号CSjMnVTiPS
不 大 于
1 3号钢$ A_{3}、AD_{3} $$ 0.14\\sim 0.22 $$0.12 \\sim 0.30$$0.40 \\sim 0.65$--0.0450.055
220锰硅20 MnSi$ 0.17\\sim 0.25 $$0.40 \\sim 0.80$$1.20 \\sim 1.60$--0.0500.050
325锰硅25 MnSi$0.20 \\sim 0.30$$0.60 \\sim 1.00$$1.20 \\sim 1.60$--0.0500.050
440硅 2 锰钒40 Si2MnV$ 0.36\\sim 0.46 $$1.40 \\sim 1.80$$0.70 \\sim 1.00$$0.08 \\sim 0.15$-0.0450.045
545硅锰钒45 SiMnV$0.40 \\sim 0.52$$1.10 \\sim 1.50$$1.00 \\sim 1.40$$0.05 \\sim 0.12$-0.0450.045
645硅 2 锰钛45 Si2MnTi$ 0.40\\sim 0.48 $$ 1,40\\sim 1.80 $$0.80 \\sim 1.20$-$0.02 \\sim 0.08$0.0450.045
75 号钢$\\mathrm{A}_{5}、 \\mathrm{AD}_{5}$$0.28 \\sim 0.37$$ 0.15\\sim 0.30 $$0.50 \\sim 0.80$--0.0450.055
835硅 2 锰钒35Si 2 MnV$0.30 \\sim 0.40$$1.40 \\sim 1.80$$0.70 \\sim 1.00$$0.08 \\sim 0.15$-0.0450.045
935硅锰钒35SiMnV$0.30 \\sim 0.42$$1.10 \\sim 1.50$$1.00 \\sim 1.40$$0.05 \\sim 0.12$-0.0450.045
1035硅 2 锰钛35Si 2 MnTi$ 0.33\\sim 0.40 $$1.40 \\sim 1.80$$0.80 \\sim 1.20$-$0.02 \\sim 0.08$0.0450.045
"} {"image_path": "images/cdb64c35496bba705d8c8af290f7342d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
特 性 参 数
正向峰反向重复结壳
值电压峰值电流热阻冷却方式外形图号
$\\ V_{FM} $$I_{\\text{RRM}}$Rx电路图号
maxmaxmax
VmAC/W
1. 610115
34自冷
1. 60. 32
1. 60. 31. 7
1. 60. 31. 4
1. 60. 31. 2
232自冷115
1. 60. 31. 1
1. 60. 31
1. 60. 30. 7
1. 60. 30. 6
1. 60. 30. 5
19(5)风冷11598(100)
20(4)风冷
240风冷
240风冷
1. 380897
1. 51208、9、10、11水冷97
1. 8140891011水冷97
21608、9、10、11水冷97
1. 614自冷113
15
1. 654自冷112
20
40自冷103
20
1. 654自冷112
1. 6105自冷114
1. 6105自冷114
1. 6104白冷112
1. 6105自冷114
25
30
1. 6205自冷115
1. 8205自冷115
1. 8205自冷115
20
30
"} {"image_path": "images/c9d8794d50a0a78d19168e7c29475418.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机型重量L. 300L. 301
最大起飞重量(公斤)143,600 173,720
最大着陆质量(公斤)116,800145,120
最大无燃料重量(公斤)102,697115,914
基本重量(公斤)59,64966,029
最大商务栽重(公斤)43,048*49,885*
燃料总币(公斤)68,05070,752
最大起飞重量机翼 (公斤/米²)577.0
最大着陆重量载荷 (公斤/米²)483.2
动力載荷(最大起飞重量) (公斤/公斤推力)4.55
"} {"image_path": "images/f3c72bcff86fc3d9d29446888e68600d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BROMINE TO PHENANTHRENE AT 25.0°
Expt.$[Br_2]_{i^a}$$[C_{14}H_{10}]_{\\mathrm{i}}$Kk
10.006960.00476239$23-36^{b}$
2.00555.00456236$26^b$
3.00555.00727226$24-26^{b}$
4.00699.00871229. . .
5.00699.00692218$10-27^{b}$
6.00699.01087213$9-18^{b}$
7.00845.0043122410-12.4
8.00845.0104321911-14
9.00845.01495225. . .
10.00845.00824230. . .
12.03405.0299724111-12.6
13.03405.0088922312-13.5
14.03405.022682197-8
15.00655.011882419-13.5
18.00655.00900237. . .
$19^c$.00841.009042369-11.5
20.00841.011812218-11.5
25.00873.014332409-13
32.00542.012022326-6.5
$96^d$.00788.01063224. . .
$97^d$.00782.00839240. . .
$K_{25~^\\circ}=230$
"} {"image_path": "images/f1e0d018b51282ca897f64a4515fe48e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
鄭寶清劉權豪蘇巧慧鄭運鵬李俊俋柯建銘葉宜津
劉建國王定宇鍾孔炤陳素月李麗芬何欣純莊瑞雄
施義芳呂孫綾吳秉叡吳琪銘周春米許智傑林俊憲
邱議瑩蔡培慧鍾佳濱陳其邁黃秀芳陳明文林靜儀
林淑芬蘇震清余宛如江永昌吳焜裕邱泰源蔡適應
陳 瑩管碧玲陳賴素美陳歐珀洪宗熠Kolas Yotaka
劉世芳段宜康張宏陸李昆澤陳曼麗王榮璋郭正亮
張廖萬堅蘇治芬姚文智
"} {"image_path": "images/c81ea276de4df69e863add547c1574c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
O-ringFlangeBolts Pitchcirclediameter
OuterdiameterInnerdiameterDiameterDiameter ThicknessNo ofholesDiameterof holes
(in)(in)(in)(in)(in)(in)
1$\\frac{1}{2}$2$\\frac{3}{8}$8$\\frac{17}{64}$$1\\frac{1}{2}$
$2\\frac{1}{2}$2$3\\frac{3}{4}$$\\frac{1}{2}$8$\\frac{17}{64}$3
$2\\frac{3}{4}$$2\\frac{1}{4}$4$\\frac{1}{2}$12$\\frac{17}{64}$$3\\frac{1}{4}$
$3\\frac{1}{4}$$2\\frac{3}{4}$$4\\frac{1}{2}$$\\frac{1}{2}$12$\\frac{17}{64}$$3\\frac{3}{4}$
4$3\\frac{1}{2}$$5\\frac{1}{2}$$\\frac{1}{2}$12$\\frac{13}{32}$$4\\frac{5}{8}$
$6\\frac{5}{8}$$6\\frac{1}{8}$8124$\\frac{13}{32}$$7\\frac{1}{4}$
"} {"image_path": "images/ec621bd96bc17d0a9c3888ece5d85cf8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
COUNTRYRATE PER 1,000WOMEN PER1,000 MENLIFE EXPECTANCY AGE GROUPS(%)
BIRTHSDEATHSNATURALINCREASE INFANTMORTALITY
MENWOMEN0-1415-6465+
DENMARK16.69.57.122.51,01666.972.625.763.910.4
FINLAND18.49.09.419.81,08063.469.830.262.67.2
ICELAND27.46.620.813.397866.170.334.757.47.9
NORWAY17.59.18.418.71,00771.174.725.963.210.9
SWEDEN13.99.84.115.51,00570.974.422.266.011.8
NORDEN16.29.46.818.61,02468.373.025.564.210.3
UNITED STATES23.49.3 14.125.21,03066.573.031.159.79.2
CANADA26.07.718.327.397367.672.933.559.07.5
"} {"image_path": "images/025ddb60f123b3155ace2db58f11a462.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Relative permittivity
FrequencyApproximate fromfrom
length ofYu'sflat-surface
resonatorequationsequations
GHzhalf-wavelengths
34.774 2.25462.2488
62.25332.2488
82.25312.2493
33.0742.25482.2491
62.25382.2494
82.25312.2495
"} {"image_path": "images/acbe3011cf611901abb05ca85b4d44bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Oneobjection to Y is that ...
A common
A frequently heard
"} {"image_path": "images/f2506d868705f448f6f07672094bc098.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
等 级调 拨 基 价供 应 基 价
初 烤复 烤初 烤复 烤
中黄一级384.71418.15387.03420.67
二级289.83317.15291.58319.06
三级209.16231.25210.42232.65
四级142.74160.54143.60161.51
五级107.94123.47108.59124.22
六级73.1486.4473.5886.96
上黄一级274.00300.28275.65302.09
二级188.60209.37189.74210.63
三级131.68148.74132.47149.64
四级96.88111.7097.46112.37
五级60.4972.9760.8673.41
青黄一级100.05115.09100.65115.78
二级60.4972.9760.8673.41
三级28.8639.2829.0339.52
末级20.9530.8821.0831.07
"} {"image_path": "images/359b6dea4cb0bf03e8180052f2faa3ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\alpha$xM (P)M (T*)$\\alpha$xM (P)M (T*)
8010.0000-0.98488510.0000-0.9962
2-0.0166-0.86172-0.0083-0.8717
3-0.0244-0.73863-0.0123-0.7471
4-0.0254-0.61554-0.0128-0.6226
5-0.0217-0.49245-0.0109-0.4981
6-0.0153-0.36936-0.0077-0.3736
7-0.0081-0.24627-0.0041-0.2490
8-0.0024-0.12318-0.0012-0.1245
90.00000.000090.00000.0000
"} {"image_path": "images/bdceee36d221fa583c53050db2383f5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
舱室、处所及部位管 系机器处所和泵舱货泵舱滚装货舱干货舱货油舱燃油舱压载水舱 隔离空舱、管隧和导管 居住处所、服务处所和控制室开敞甲板
可燃液体#闪点大于60°C#货油管路不适用适用,要求 60min干燥状态耐火试验不适用不适用不适用适用,不要求耐火试验不适用适用,不要求耐火试验不适用适用,要求60min 干燥状态耐火试验
燃油管不适用适用,要求 60min干燥状态耐火试验不适用不适用不适用适用,不要求耐火试验适用,不要求耐火试验适用,不要求耐火试验适用, 要求 60min干燥状态耐火试验适用,要求60min 干燥状态耐火试验
润滑油管不适用适用,要求 60min干燥状态耐火试验不适用不适用不适用不适用不适用适用、不要求耐火试验适用、要求 60min干燥状态耐火试验适用,要求60min 干燥状态耐火试验
液压油管不适用适用,要求 60min干燥状态耐火试验不适用不适用适用,不要求耐火试验适用,不要求耐火试验适用,不要求耐火试验适用,不要求耐火试验适用,要求 60min干燥状态耐火试验适用,要求60min 干燥状态耐火试验
江水舱底水总管及支管适用,要求 60min干燥状态耐火试验适用,要求 60min干燥状态耐火试验不适用不适用不适用适用,不要求耐火试验适用,不要求耐火试验适用,不要求耐火试验不适用适用,要求60min 干燥状态耐火试验
消防总管及水雾管适用,要求 60min干燥状态耐火试验适用,要求60min干燥状态耐火试验不适用不适用不适用不适用适用,不要求耐火试验适用,不要求耐火试验不适用适用,要求60min 干燥状态耐火试验
泡沫系统适用,要求 60min干燥状态耐火试验适用,要求 60min干燥状态耐火试验不适用不适用不适用不适用不适用适用,不要求耐火试验适用,要求 60min干燥状态耐火试验适用,要求60min 干燥状态耐火试验
自动喷水系统适用,要求 60min干燥状态耐火试验适用,要求 30min注水状态耐火试验不适用不适用不适用不适用适用,不要求耐火试验适用,不要求耐火试验适用,要求30min注水状态耐火试验适用,要求30min 注水状态耐火试验
压载系统适用,要求 30min注水状态耐火试验适用,要求 30min注水状态耐火试验适用,要求 30min注水状态耐火试验不适用不适用适用,不要求耐火试验适用,不要求耐火试验适用,不要求耐火试验适用,要求 30min干燥状态耐火试验适用,要求30min 干燥状态耐火试验
冷却水,重要用途适用,要求30min注水状态耐火试验不适用不适用不适用不适用不适用适用,不要求耐火试验适用,不要求耐火试验不适用适用,要求30min 干燥状态耐火试验
清舱用固定机械系统不适用适用、要求 30min注水状态耐火试验不适用不适用适用,不即求耐火试验不适用适用,不要求耐火试验适用,不要求耐火试验不适用适用、要求30min 注水状态耐火试验
"} {"image_path": "images/d4be6771547960343e8afdf4eb41f4bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
齐桓公(342)S
祁 奚(320)
牵 招 (167、349)桑弘羊(99、395)
千 万(215)山 甫(312)
乾 隆(9)山子道(403)
钱大昕(119)单 超(23)
钱玄同(9)商 鞅(102)
桥 瑁(54、55、58)申 耽(237)
桥 蕤(121、122)沈德潜(417、419、423、435)
桥 玄 (1、2、36、37)沈 涛(119)
秦 松 (179、183)沈 约(510)
秦宜禄(246)审 配(133、134、136、137、146、151-153、371)
秦 翊(188)
青牛角(65)审 荣(153)
丘力居 (158、166)师 丹(375)
阙 宣(76)师 旷(220)
R史 郃(449)
史 涣(145)
冉 有(372)叔 虎(320)
穰 苜(243)叔 向(320)
任 蝦 (313)顺 帝(22)
任 峻 (104-106、346)舜 (311)
任 夔(232)司 马(109)
儒 家(496)司马彪(3、28)
阮 籍(488)司马防(40)
阮 瑀 (205、347、407、408、433、434、444)司马孚 (111、264、265)
司马光 (6-8 、 14 、 30 、 148 、 309 、382 、 383 )
"} {"image_path": "images/f0744d97d96a4fa5f23f74f0aac23ee8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Con-tainercom-poundWell parameters(in au)Number oflevels inequivalentwell $(\\rho\\rightarrow\\infty)$ Energy ofresonancelevel E ${ }_{i}$,auWidth ofresonancelevel $\\Gamma_i$,auLifetime ofresonancelevel, sec
$\\nu_0$$\\nu_1$$R_1$$\\rho$
I1,20,80,570,1914$E_{1}=0,802$$E_{12}=0,849$$1 \\cdot 10^{-11}$$3 \\cdot 10^{-10}$$2 \\cdot 10^{-6}$$7 \\cdot 10^{-8}$
II0,390,350,31,12$E_{1}=0,356$$E_{2}=0,372$$6 \\cdot 10^{-20}$$5 \\cdot 10^{-14}$$4 \\cdot 10^{2}$$5 \\cdot 10^{-4}$
III0,400,2750,21,23$E_{1}=0,288$$E_{2}=0,328$$E_{3}=0,389$$2 \\cdot 10^{-40}$$6 \\cdot 10^{-32}$$8 \\cdot 10^{-12}$$1 \\cdot 10^{23}$$4 \\cdot 10^{14}$$3 \\cdot 10^{-6}$
IV0,440,370,21,22 $E_{1}=0,383$$E_{2}=0,419$$2 \\cdot 10^{-28}$$7 \\cdot 10^{-17}$$1 \\cdot 10^{11}$$4 \\cdot 10^{-1}$
V0,430,210,51,29$E_{1}=0,212$ $2 \\cdot 10^{-57}$$1 \\cdot 10^{40}$
VI0,0730,0660,31,41$E_{1}=0,07$$5 \\cdot 10^{-7}$$5 \\cdot 10^{-11}$
VII2,942,910,21,42$E_{1}=2,915$$E_{2}=2,930$$8 \\cdot 10^{-33}$$5 \\cdot 10^{-20}$$3 \\cdot 10^{15}$$5 \\cdot 10^{2}$
VIII2,542,470,31,45$E_{3}=2,482$$E_{4}=2,515$$E_{5}=2,538$$1 \\cdot 10^{-51}$$7 \\cdot 10^{-33}$$4 \\cdot 10^{-8}$$2 \\cdot 10^{34}$$3 \\cdot 10^{15}$$5 \\cdot 10^{-10}$
IX3,253,120,41,48$E_{1}=3,122$ $1 \\cdot 10^{-77}$$3 \\cdot 10^{60}$
X2,842,530,61,619$E_{1}=2,531$ $2 \\cdot 10^{-139}$$1 \\cdot 10^{122}$
XI0,750,560,6216$E_{1}=0,561$$3 \\cdot 10^{- 40}$$4 \\cdot 10^{122}$
XI1,230,5512,148$E_{1}=0,550$$5 \\cdot 10^{-273}$$5 \\cdot 10^{255}$
XIII42,51,130,26120$ E_{1}=2,5001 $$1 \\cdot 10^{-74}$$2 \\cdot 10^{57}$
"} {"image_path": "images/64496e7058ef0f61f6fa3acc4815124c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ActivityOptimisticDuration in daysMost likelyPessimistic
(a)(m) (b)
A3711
B2510
C444
D5611
"} {"image_path": "images/212b80b6cec977ac1cca67aaac6b2609.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1314南拳自选拳陈诗雅0160111 8.19
2403其它传统棍术陈诗雅0160111 8.30
1369其它地域南拳陈景文0160121 8.66
2403其它传统棍术陈景文0160121 8.67
2483铁尺陈景文0160121 8.61
1314南拳自选拳韦朝丰0160133 8.74
2310板凳韦朝丰0160133 8.73
2403其它传统棍术韦朝丰0160133 8.72
7212集体其它传统器械类韦朝丰等 8 人016013等 8 人3 8.82
1314南拳自选拳叶文伟0160141 8.79
2310板凳叶文伟0160141 8.81
2403其它传统棍术叶文伟0160141 8.79
1314南拳自选拳吴方通0160152 8.70
2310板凳吴方通0160152 8.64
2403其它传统棍术吴方通0160152 8.76
1314南拳自选拳刘庆华0160161 8.74
2310板凳刘庆华0160161 8.67
2403其它传统棍术刘庆华0160163 8.69
1127陈式太极竞赛套路(56式)黄喜同0170023 8.66
1141杨式传统太极拳 Yang Style Tradition Tai ji quan黄喜同0170021 8.77
210442式太极剑 ( 竞赛套路 )黄喜同0170021 8.67
2126杨式传统太极刀黄喜同0170022 8.60
112142式太极拳竞赛套路 42 Style Tai ji quan吴乐霞0170032 8.62
1127陈式太极竞赛套路 ( 56 式 )吴乐霞0170032 8.72
2145太极单扇吴乐霞0170031 8.66
112142式太极拳竞赛套路42 Style Tai ji quan蓝旻霞0170043 8.54
1127陈式太极竞赛套路 ( 56 式 )蓝旻霞0170042 8.70
210442式太极剑 ( 竞赛套路 )蓝旻霞0170043 8.55
2145太极单扇蓝旻霞0170041 8.72
6112集体其它组合太极拳蓝旻霞等 8 人017004等8人1 8.89
112142式太极拳竞赛套路42 Style Tai ji quan卢丽君0170051 8.78
1127陈式太极竞赛套路 ( 56 式 )卢丽君0170052 8.78
2145太极单扇卢丽君0170051 8.81
111124 式太极拳 (简化) 24 Style Tai ji quan (Simplify)杜翰宾0170061 8.64
1127陈式太极竞赛套路 ( 56 式 )杜翰宾0170062 8.74
2145太极单扇杜翰宾0170061 8.71
112142式太极拳竞赛套路42 Style Tai ji quan徐燕妮0170072 8.68
2145太极单扇徐燕妮0170071 8.68
112348式太极拳 48 Style Tai ji quan楼桂珍0170082 8.66
1129陈式太极老架一路 1st Set of Chen StyleLaojiaTaijiquan楼桂珍0170081 8.70
"} {"image_path": "images/9bb9e082d0ebcdfd8512240e09079629.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
贷款类别1942年1943年1944年1945年
金 额比 重金 额 比 重金 额 比 重金 额比 重
土地改良90.035.5%3,670.757.3%9,756.857.6%19,500.261.5%
扶助自耕农49.319.5%1,217.919.0%4,350.525.7%8,824.727.9%
土地征收525.08.2%555.03.3%1,125.73.6%
地籍 整理193.03.0%1,321.1 7.8%941.13.0%
乡 镇造产160.02.5% 466.42.7%509.01.6%
照价收买地土400.46.3% 417.02.5%410.01.3%
土地重划114.045.0%234.43.7%77.50.4%365.01.1%
合 计253.3100%6401.4100%16,944.3100%31,675.7100%
"} {"image_path": "images/436b8ad8862ea230e21a269e4dff1c37.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Implan-tationEnergy(keV)ElectronBeamEnergy(keV)$ \\begin{array}{l}\\text { Electric } \\\\ \\text { Field } \\\\ \\left({x}~10^{6}\\right. \\\\ \\text { V/cm) }\\end{array} $$_x$$~I$$(\\mathring{\\mathrm{A}})$$ \\begin{array}{l}\\left(\\mu \\tau_{}\\right)_{e}\\\\ \\left({x}~10^{-12}\\right.\\\\\\ cm^{2}/ V)\\end{array} $$ \\begin{array}{l}\\left(\\mu \\tau_{}\\right)_{h}\\\\ \\left({x}~10^{-13}\\right.\\\\\\ cm^{2}/ V)\\end{array} $
205.01.58202.03.5
205.03.08802.53.1
204.51.5(640)780(1.9)1.5(2.1)3.7
204.53.0(780)880(3.2)2.7(2.8)3.6
104.51.5340<2.8>1.64.5
4.53.0340<14.0> 1.64.5
"} {"image_path": "images/ee8f8429b295172a2eb39d8ce2adb910.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Monomer[monomer]$/mol·dm^{-3}$$10^{2}·[TMT]$$/mol·dm^{-3}$Solvent $10^{6}·R_{p}$$/mol·dm^{-3}.s^{-1}$
St0,874,02DMF0,83
1,744,022,14
2,614,023,21
3,484,024,70
4,354,026,84
St0,873,49Benzene0,94
1,743,491,96
2,613,493,47
3,483,494,45
4,353,495,52
AN1,523,44DMF3,44
3,043,4411,99
4,563,4428,41
6,083,4450,16
7,603,4495,09
"} {"image_path": "images/12dbd2341c97caaa05955b411e9d768c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Bob JonesAJim Adams
Bob JonesBJim Adams
Bob JonesCJim Adams
Mary WilsonAJim Adams
Mary WilsonBJim Adams
Mary WilsonCJim Adams
Bob JonesASue Weiner
Bob JonesBSue Weiner
Bob JonesCSue Weiner
Mary WilsonASue Weiner
Mary WilsonBSue Weiner
Mary WilsonCSue Weiner
\" \" \"\" \"
\" \" \" \" \"
\" \" \" \" \"
"} {"image_path": "images/5812bb04987e685e0e07eda720dc7dd6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
当季一年两年*三年*五年*
报酬率%排名报酬率%排名报酬率%排名报酬率%排名报酬率%排名
所有投资
A 经理4.1222.51020.64018.01020.23
B 经理3.2434.1133.0128.2122.61
C 经理5.4122.21128.4324.51--
主要信托3.9128.1128.2124.3121.81
(所有经理人)
普通股
A 经理5.2 132.1 926.12721.21126.57
B 经理3.6 552.9 146.2137.8129.33
C 经理6.2 129.3 1430.81029.33--
主要信托4.7 141.2 137.0130.4127.61
(所有经理人)
债券
A 经理2.7 817.0126.6119.0112.22
B 经理1.6 467.64818.35312.7847.486
C 经理3.2 410.4924.0318.91--
主要信托2.2 119.71421.11415.2249.330
(所有经理人)
债券及现金
A 经理2.5 1512.0516.16415.52112.99
"} {"image_path": "images/9f51547287ded6c9f2b38fb30a04ab14.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
生产水平(斤/亩)项 目产 量(斤)无机能有机能有机、无机肥料能投入总量
投入总量化肥能投入量投入总总 量有机肥能投 入 量
>800双 阳89795244917075531002
怀 德8968365341303455989
伊 通89592250913605511060
梨 树876111172112654481169
平 均89195555314695021055
500-800榆 树7358143301269416746
德 惠5886923511099338689
平 均6626623411184377718
<500双 辽4755953041297534838
农 安4343333021004349651
平 均4556143031151442745
"} {"image_path": "images/4b6419e96004be21a8a780ac0d1ed00c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
加入的NaOH体积/mL中和百分数/%剩余的HCI体积/mL剩余百分数/% $[H^+]$$/mol·L^{-1}$pH
0.000.0020.00100.00$1.00×10^{-1}$1.00
18.0090.002.0010.00$5.00×10^{-3}$2.28
19.8099.000.201.00$5.00×10^{-4}$3.30
19.9899.900.020.10$5.00×10^{-5}$4.30突跃范围
20.00100.0 0.000.00$1.00×10^{-7}$7.00
20.02100.10.00 0$2.00×10^{-10}$9.70
20.20101.00.000$2.00×10^{-11}$10.70
22.00110.00.000$2.10×10^{-12}$11.68
40.00200.00.000$3.00×10^{-13}$12.52
"} {"image_path": "images/d2a1ba3c569c034ab88f00538114b4f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日 期年. 月. 日位置孔向孔深/m孔数/个 总装药量/kg 单孔药量/kg 单响药量/kg备注
桩号/m 高程/m
95.11.26开左0+00~12380~370垂直 11.5 36170075~25 200
95.12.8左 0+20~右 0+03405~395垂直11.5~2038320024~192454预裂孔 28 个(单孔 3.5 kg )
95.12.11开左0+05~20405~395垂直11.5~2020275025~195470预裂孔 13 个
95.12.17开左0+10~20395~385垂直 11.5 14112080 240195.12.21 小堀滑
95.12.26开左0+27~39395~385垂直7~8.526225080~96 368
95.12.31开左0+10~30385~360垂直20742750193~19639296.1.1周边开裂
96.2.5左 0+10~右 0+03360~350水平 3481603.2 44.8分二区爆破
96.2.8左 0+01~右 0+10360~350水平32367.23.235.2分二区爆破
96.2.10开右0+03~15360~350水平340134.43.244.9分二区爆破
96.2.13开左0+05365~350水平31238.23.2 38.2
96.2.18左 0+10~右 0+10360~350水平36831535~25~ 535~25分三区爆破
96.2.31左 0+15~右 0+10365~350水平3~1.5692263~540~80分三区爆破
96.2.23左 0+17~右 0+05365~350水平357285560~20分二区爆破
96.2.26左 0+05~右 0+20365~350水平3~1.546270525~15分二区爆破
96.2.29开左0+20~00365~350水平3~2552915分三区爆破
96.3.2开左0+15~05365~350水平3472705~645分五区爆破
96.3.7开左0+10~35370~350水平< 360300< 6分五区爆破
"} {"image_path": "images/04e3195705db01d160a83aa4cdf6852c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
零 件 名 称40XTT 鋼40XH31A 鋼
最大力矩(公斤·公尺)圆角(度)破裂的地 方最大力矩(公斤·公尺)圆角(度)破裂的地 方
中間桥左牛軸1350225溝槽端部1400147溝槽端部
中間桥左牛軸1550312溝槽端部1200225凸椽部分
中間桥左牛軸1375474溝槽端部1100212凸缘部分
中間桥左牛軸1400158溝槽端部
中間桥左牛轴1450218溝槽端部
后桥右半轴1300174溝槽中間1300230凸缘部分
后桥右半轴1300234凸椽部分1100260凸缘部分
后桥右牛轴1500330溝槽端部
后桥右半轴1400339溝槽端部
后桥右牛軸1300210溝槽端部
后桥左牛轴1450249溝槽端部1300186溝槽端部
后桥左牛轴1400210溝槽端部1300291凸椽部分
后桥左牛轴1500247溝槽端部1250180凸椽部分
后桥左牛轴1400170溝槽端部
后桥左牛轴1400236溝槽端部
中筒桥右牛轴1400200溝槽端部1100285溝槽端部
中間桥右牛軸1400279凸缘部分1300173溝槽端部
中間桥右牛軸1400243溝槽端部1100853凸缘部分
中間桥右牛軸1400160溝槽端部
中間桥右牛軸1400236溝槽端部
后桥停动轴77528溝槽端部63036凸缘部分
后桥停动轴82524溝槽端部80027凸椽部分
后桥停动轴85026溝槽端部70027凸椽部分
后桥停动轴80036溝槽端部
"} {"image_path": "images/a1ef75219e0d7939a4ce81bb0a66fad8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
發电机型式發电机轉子直徑(公尺)
6 以下8 以下10以下12以下14.5以下
机架种类
整体式机架拆开式机架( 可拆脚数如下 )
881212
傘 式-$\\frac{90}{183-00}$$\\frac{110}{224-00}$$\\frac{170}{346-00}$$\\frac{195}{397-00}$1
悬 吊 式 $\\frac{76}{155-00}$$\\frac{180}{366-00}$$\\frac{200}{407-00}$$\\frac{320}{652-00}$-2
aσBr${No.}$
"} {"image_path": "images/faef817e9cc50cacccc96eade1e6ed1f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
縣 别普 通 户 口 数船 户 口 数寺 廟 口 数公 共 處 所 口 数各 縣 人 口 總 数
合 計
吉 安234.931220.126465232146272.975342238.517220.727459.244
都 昌157.302134.0765788945158.248134.121292.869
分 宜97.00880.512605061261.8481.43498.97782.022180.999
廣 昌64.09052.450332455271964.94952.514117.463
瑞 金142.487130.955114.513171147.011131.126278.137
共 計7.233.4705.898.01239.68221.79214.4545.822134.72617.7947.422.3325.943.42013.365.752
"} {"image_path": "images/22e5a8216b91cc9ce46cb86e4300b1c6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1III6
2345
Zin Sek. J in${10}^{-4}$ Amp.ZJ ZMittel
NaCl3.5303·4403·45
KCl3·2363·1473·15
BaCl$_2$4·2304·3244·25
MgCl$_2$2·8302·6-2·7
$\\mathrm{La}\\left(\\mathrm{NO}_{3}\\right)_{3}$43·4214911746·25
$\\mathrm{Co}\\left(\\mathrm{NH}_{3}\\right)_{6} \\mathrm{Cl}_{3}$14:432813:252414·09
"} {"image_path": "images/231fab55b86ccf129aac77f8c54b8939.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地区 名称铁 路公 路内 河
1949年1982年1949年1982年1949年1982年
西北区2.0912.9311.1112.460.920.78
西南区3.3611.6813.5119.7013.5910.18
中南区16.3616.5117.1625.6338.2632.73
华东区16.6714.4923.2218.6233.6149.64
华北区21.4520.5611.5112.705.761.00
东北区40.0723.8323.4910.897.865.67
全 国总 计100100100100100100
"} {"image_path": "images/360393d40cd0b8f7437b081c8cc81852.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
60inch.14inch.
4813
4212
3611
2010
249
208
187
166
155
"} {"image_path": "images/da39e4be38ee14ee81a1b03d49bea8cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
YearCases PackedDollar Value
1869$ 5,426,000
187917,600,000
188929,862,000
189956,427,000
190434,500,00078,142,000
190940,185,00091,439,000
191466,862,000149,176,000
191989,820,000402,243,000
192162,827,000248,106,000
1923110,266,000370,398,000
1925148,772,000616,071,000
1926149,620,000572,346,000
1927133,133,000
1928143,624,000742,448,000
1929173,634,000
1930176,534,000513,001,000
1931145,607,000
1932121,611,000439,988,000
1933146,752,000
1934156,183,000640,000,000 *
1935196,706,000
"} {"image_path": "images/714404d4cbae0aad90714928f710503c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机 械 性 能硫 含 量(%)
0.000.050.100.30
硬 模 鑄 造 的 青 銅
拉伸强度极限(公斤/公厘$^{2}$)14.615.215.113.9
相对伸长率(%)4.05.23.45.4
拉伸屈服极限(公斤/公厘$^{2}$)11.611.611.510.4
压缩强度极限(公斤/公厘$^{2}$)41.644.334.2
压缩鐓粗率(%)33.027.528.0
压缩屈服极限(公斤/公厘$^{2}$)14.513.714.311.6
冲击韧性(公斤公尺/公分$^{2}$)2.132.092.11
冲击試驗时試样的折断角(度)141314
布氏硬度(公斤/公厘$^{2}$)59.556.854.351.9
砂 模 鑄 造 的 青 銅
拉伸强度极限(公斤/公厘$^{2}$)15.913.615.611.1
相对伸长率(%)4.00.61.30.0
拉伸屈服极限(公斤/公厘$^{2}$)11.210.610.37.9
"} {"image_path": "images/3bda328d0c8448aae7472c9230dc2fcd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
全行决算南京分行占%
银行部结益单位1657356.24亿元益140.59亿元20.83%
结损单位826681.41
纯 益674.83
储蓄部结益单位5443.40益 5.48280%
结损单位1741.44
纯 益1.96
信托部结益位单10292.56益 10.643.64%
土地金融部结益单位2466.75益 8155.61%
结损单位1965.29
纯 益1.46
合 计970.81157.5216.23%
"} {"image_path": "images/c5397fc9729aaf7e6f0bd1fc94e252b0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
項 目病 名病因起病全 身 症 状咽 喉 特 征
寒 热呼吸吞咽潰 疡白 膜肿 痛較緩
喉 疳外感风热, 或积 熱、結毒见 于 风热,唯胃經积热热度較高无影响轻度影响点状,大小不等,一侧或两侧, 底深边高少见,偶见小块,拭之不易剝脱,有恶臭輕微
喉 风外感风热邪毒急驟明显不利或困难多见湯水难下少见,或见 为 豆状,边缘紅肿,有奇臭无白膜,有时可见白点集聚明显,甚至波及頸頜头面
白 喉疫毒所感急驟明显不利或困难少见湯水不下甚少见片状,或条状,白膜重者伸入 气 道,不 易 剝脫,强去之易出血輕微
"} {"image_path": "images/06882273fa390682947698b3abb85c9d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
维修保养项目清理检查调查记录 不良情况部分记录及处理结果
机身及井道1选层器牙箱换油
2安全系统及限速器动作试验
3安全器及夹轨拆卸、清洗
4曳引机、行车速度、平衡装置检测
5制动盘各接线螺丝固定
6门电机牙箱、润滑油更换
7中途箱,轿底接线箱螺丝紧固
8主缆、保险缆加缆油
9井道内各路轨、各腰刀等牢固
10井底油压缓冲器清洗换油, 有效动作确定
11井道内及井底大扫除
维修保养人验证人
"} {"image_path": "images/e0f6a77dff77bb454d4eacce6f9e2f99.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
货号名称及规格单位数量单价金额备注第一联:存根
1324白色纯羽绒被1 000565565 000
合计# 百伍拾陆万伍仟零佰零拾零元零角零分 ¥$\\underline{565\\ 000}$
"} {"image_path": "images/682bec1dea6f139dd69f0603e72c3eae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
考 備 间 期 効 有
月後年欲各税載第前須爲重款則此四知於限修兩並次十照六期以國通新六個滿十再商定款
草⁔约本约中第约‿葡四根会款据议 前
"} {"image_path": "images/6ec24139c11754daa0d285ae20e1a1dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
试验年份试验地点处 理成秧率(%)百株干重(克)叶龄
1989中科院长沙农业现代化所水浸种22.3 2.944.3
$ \\text{ CR-4浸种} $78.84.104.8
1990湖南省水貂所水浸种65.73.144.5
$ \\text{ CR-4浸种} $79.84.104.9
1990湖南省邵阳县水浸种52.42.253.4
$ CR-4\\text{浸种} $77.53.093.9
1991江西省永丰县水浸种50.02.854.2
$ \\text { CR-4浸种 } $80.54.954.8
1991中科院长沙农业现代化所水浸种24.43.21
CR-4浸种55.53.83
1991湖南省安仁县水浸种66.7
$ \\text{ CR-4浸种} $92.5
1991长沙县春华山乡水浸种66.0
$ \\text{ CR}-4浸种} $79.4
1991河北省昌黎县水浸种83.6
$ \\text { CR-4浸种 } $96.0
1991湖南衡山祝融乡水浸种 35.75(鲜重)4.9
$ \\left\\{\\begin{array}{l}C R-4 溢种\\end{array}\\right. $ 58.85(鲜重)5.5
1991湖南省水稻所水浸种2.703.3
$ \\text{ CR-4浸种} $3.254.1
"} {"image_path": "images/c48685ba50e543d0c9d8969bc81e25a3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学 校类 别达标率(%)增加(%)学 校类 别达标率(%)增加(%)
一 中初 中76.933.4 四 中初 中85.55.8
普 高66.76.7普 高77.82.1
五 中初 中98.58.5六 中初 中93.20.5
普 高60.45.7普 高59-0.4
七 中初 中95.21.4职 专45.1
普 高10054.8 十 中初 中89--6.5
十二中初 中966普 高87.816.2
普 高41.2-十五中初 中94.7-5.7
十六中初 中97.4- 0.1普 高65.10.7
普 高36-四 中初 中94.51.9
附 中初 中98.2-0.1普 高72.24.6
普 高81.5-7.3实 验初 中10010.1
二十五中普 高956.8普 高76.919
铁 中初 中9225.3开 高普 高85.91.3
普 高755职专66-0.7
二职专38-6.2三职专52.70.7
四职专48.5-5五职专41.7
六职专58八 中初 中90.90.1
九 中初 中69.71.6十三中初 中98.7-1.3
十四中初 中94.2-0.3十九中初 中90--0.1
二十一中初 中89 0.4二十七中初 中95.62.1
二十八中初 中89-0.4三十中初 中95.62.1
"} {"image_path": "images/ddeecc1fa2d9210e4008e7ab5b0ea11f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
邮 编单 位地 址电 话联系人
628300剑阁县新华书店四川剑阁县普安镇
628200旺苍县新华书店四川旺苍县新城新华路
628100青川县新华书店四川青川县乔庄镇政府街
628400苍溪县新华书店四川苍溪县陵江镇解放路上段
629000遂宁市新华书店四川遂宁市大北街 34 号
629100蓬溪县新华书店四川蓬溪县赤城镇鸡市街
629118蓬莱镇新华书店四川蓬溪县蓬莱镇
629200射洪县新华书店四川射洪县太和镇解放上街
641000内江市新华书店四川内江市中央路 55 号
641200资中县新华书店四川资中县西街
641300资阳县新华书店四川资阳县和平路
641400简阳县新华书店四川简阳县正中街
642450威远县新华书店四川威远县南街
642150隆昌县新华书店四川隆昌县中心街
642350安岳县新华书店四川安岳县岳阳镇正北街
641500乐至县新华书店四川乐至县北街 18 号
614000乐山市新华书店乐山市玉堂街
614800五通桥区新华书店乐山市五通桥区文化街 210 号
612560仁寿县新华书店四川仁寿县文林镇东街
612160眉山县新华书店四川眉山县眉山镇西街
614400犍为县新华书店四川犍为县玉津镇玉津街
612660井研县新华书店四川井研县研城镇胜利街
614200峨眉县新华书店四川峨眉县绥山镇府前街
614100夹江县新华书店四川夹江县城关东大街
612360洪雅县新华书店四川洪雅县中正街
612760彭山县新华书店四川彭山县风鸣镇北街
614500沐川县新华书店四川沐川县沐溪镇
612460青神县新华书店四川青神县成箱镇
612260丹棱县新华书店四川丹棱县城新南路
614300峨边县新华书店四川峨边自治县
614600马边县新华书店四川马边自治县
634000万县地区新华书店四川万县市孙家书房路 44 号
634100万县新华书店四川万县市沙河镇沙河路
634400开县新华书店四川开县汉丰镇内西街
634300忠县新华书店四川忠县忠州镇人民路 175 号
634200梁平县新华书店四川梁平县梁山镇西正街 80 号
634500云阳县新华书店四川云阳县城书院街
634600奉节县新华书店四川奉节县永安镇人民路
"} {"image_path": "images/add571022932384eb5d15e5721e05208.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目月份总计办理交查案件普通卫生現查环境不洁设备或建筑不良批准建凿棋范饮水井数批准建凿普通饮水井数改善饮水井井水消毒次数
指导改善告 诫具结改善罚办指导改善告诫具结改善罚办
总计15 05216212 132 141298400211422027621839 738
71 1022210267826002300026215 996
81 185159228142003400024215 996
91 646151 14151097400213001447 740
161 49619117412314500192004730
111 72181321174184001117003304
121 33071 0121291630079002102
11 1427936928000130001400
21 665185763730042000000
31 281139871974500270005700
41 1331784615466003241011020
58791572276430091006700
61 132239141313400114100950
"} {"image_path": "images/21fdcfe0ff63a051e96ff4d38247c20f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
车间 (工序)岗位 (工种)职业病危害因素检 查 项 目体 检 周 期职业禁忌证
辅助工序废棉处理棉尘a) 体格检查内科常规检查: 重点是呼吸系统b) 实验室和其他检查1) 必检项目: 血常规、尿常规、心电图、血清 ALT、班前班后肺功能2) 选检项目: 后前位X射线高千伏胸片a) 劳动者在开始工作的第 6~12个月之间应进行 1 次健康检查b) 劳动者接触粉尘浓度符合国家卫生标准,每 4 年~5 年检查 1 次, 劳动者接触粉尘浓度超过国家卫生标准,每2 年~3 年检查 1 次c) 棉尘病观察对象医学观察时间为半年,观察期满仍不能诊断为棉尘病者,按一般接触人群进行检查a) 活动性肺结核病b) 慢性阻塞性肺病c) 伴肺功能损害的疾病
印染
染色前处理烧毛高温、汽油、一氧化碳a) 体格检查1) 内科常规检查: 重点进行心血管系统检查2)皮肤科常规检查3)神经系统常规检查b) 实验室和其他检查1) 必检项目: 血常规、尿常规、血清ALT、心电图、血糖2) 选检项目: (有甲亢病史或检查有异常者) 血清游离甲状腺素 (FT4)、血清游离三碘甲腺原氨酸 (FT3)、促甲状腺激素 (TSH)、神经-肌电图1年,应在每年高温季节到来之前进行a) Ⅱ期及Ⅲ期高血压b) 活动性消化性溃疡c) 慢性肾炎d) 未控制的甲亢e) 糖尿病f) 大面积皮肤疤痕g) 过敏性皮肤疾病h) 神经系统器质性疾病i) 中枢神经系统器质性疾病j) 心肌病
退浆、煮练、丝光氢氧化钠、高温、高湿a) 体格检查内科常规检查: 重点进行心血管系统检查b) 实验室和其他检查1) 必检项目: 血常规、尿常规、血清 ALT、心电图、血糖2) 选检项目: (有甲亢病史或检查有异常者) 血清游离甲状腺素 (FT4)、血清游离三碘甲腺原氨酸 (FT3)、促甲状腺激素 (TSH)1年,应在每年高温季节到来之前进行a) Ⅱ期及Ⅲ期高血压b) 活动性消化性溃疡c) 慢性肾炎d) 未控制的甲亢e) 糖尿病f) 大面积皮肤疤痕
"} {"image_path": "images/14bcc40a6e6fb0f66cb66a912df79aab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
體 高
縣 名測驗數 平 均 數縣 名測驗數平 均 數
黄 縣21742歷 城81675.6
濰 縣111683.881542.75
81566.25臨 淄41680.5
安 邱61645蒲 台21635
21555博 興51635.2
壽 光31718商 河21795
臨 朐21615恩 縣31660
沂 水21678.5平 原31700
臨 沂女51594.6濟 #21612
泰 安31705高 密21655
31552.7
"} {"image_path": "images/64a2812fa5491276954ce821a170e4d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名 称液化天然气储罐(区)(总容积V/m3)集中放散装置的天然气放散总管
V≤1010$ \\begin{aligned} & 3050$ \\begin{aligned} & 200$ \\begin{array}{l}500$ \\begin{aligned} & 1000
单罐容积 $V / \\mathrm{m}^{3}$V≤10$V \\leqslant 30$$V \\leqslant 50$V≤200V≤500$V \\leqslant 1000$$V \\leqslant 2000$
公路(路边)高速, I、II级, 城市快速202515
其他152010
架空电力线(中心线)1.5 倍杆高1.5倍杆高,但35kV及以上架空电力线不应小于40m2.0倍杆高
架空通信线(中心线)I、II级1.5倍杆高30401.5倍杆高
其他1.5 倍杆高
铁路(中心线)国家线405060708040
企业专用线25303530
"} {"image_path": "images/84cbec2f7769d22cafcb93c905e5404b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ConstantsMaterials$~~~\\sigma_y, \\\\MPa$$n_o$ D ,MPa$~H_t$ ,GPaConstats commonto all the materiais
SiO C244 20.3006521113.1$\\begin{aligned} & E=206~~ \\mathrm {GPa} \\\\ &g=0.5 \\\\ &b=2.482~~\\overset{{\\Huge .} }{\\text{A}} \\\\ &v^*=3235 \\mathrm{~m} / \\mathrm{sec} \\\\ &H_2=2.5 ~~\\mathrm{GPa} \\\\ &n=10 \\\\ &M=0.0 ~~\\mathrm{~cm}^{-2} \\\\ &a=0~38 \\\\ &\\mu=82.4 ~~\\mathrm{GPa}\\end{aligned}$
S 35C (N)386.30.215094682.5
(H)495.70.1555130860.9
SCM 435882.50.0633276826.1
SNCM 439 (A)677.50.1387196354.7
(B)1060.70.0542351622.6
(C)1352.10.0241482110.5
"} {"image_path": "images/2ca37b008dbbfa9a9ada104003394e53.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$c_j$121176bθ
$c_B$$x_B$$x_1$$x_2$$x_3$$x_4$$x_5$
表(1)1$x_1$1021210$\\frac {10}{2}$
2$x_2$013*316$\\frac {6}{3} ~~^→$
$\\bar c_j$003 ↑02z = 22
表(2)1$x_1$1$-\\frac {2}{3}$ 0-1$4^*$36 $\\frac {6}{4/3} ^ → $
11$x_3$0$\\frac 13$11132$\\frac 2{1/3}$
$\\bar c_j$0- 10- 31↑z = 28
表(3)6 $x_5$$\\frac {3}{4}$ $-\\frac {1}{2}$ 0$-\\frac {3}{4}$ 1$\\frac {9}{2}$
11$x_3$$-\\frac {1}{4}$ $\\frac {1}{2}$ 1$\\frac {4}{5}$ 0$\\frac {1}{2}$
$\\bar c_j$$-\\frac {3}{4}$ $-\\frac {1}{2}$ 0$-\\frac {9}{4}$ 0z = 32$\\frac {1}{2}$
"} {"image_path": "images/9f76cf70a05cf0b7b74d44504415a77d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Jl0123456
1-396$-\\frac{1075}{4}$$-\\frac{811}{24}$$\\frac{38}{3}$$\\frac{29}{8}$$\\frac{1}{4}$0
2-42$-\\frac{257}{56}$$\\frac{3011}{105}$$\\frac{7891}{480}$$\\frac{2203}{672}$$\\frac{671}{3360}$$-\\frac{1}{224}$
31638$\\frac{15703}{10}$$\\frac{35209}{60}$$\\frac{1643}{15}$$\\frac{217}{20}$$\\frac{1}{2}$0
4-510$\\frac{6541}{140}$$\\frac{46569}{140}$$\\frac{12229}{80}$$\\frac{46519}{1680}$$\\frac{3443}{1680}$$\\frac{23}{560}$
5-2232$-\\frac{161939}{70}$$-\\frac{35121}{35}$$-\\frac{27883}{120}$$-\\frac{8157}{280}$$-\\frac{1367}{840}$$-\\frac{3}{280}$
60$-\\frac{6344}{35}$$-\\frac{6686}{35}$$-\\frac{1171}{15}$$-\\frac{533}{35}$$-\\frac{289}{210}$$-\\frac{3}{70}$
71080$\\frac{14709}{14}$$\\frac{8797}{21}$$\\frac{10801}{120}$$\\frac{1937}{168}$$\\frac{247}{280}$$\\frac{9}{280}$
"} {"image_path": "images/137a710598b9c452ddf1926c85856752.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
随机变量 钻井位置采用公式油藏类型构造高点构造中部构造边部
油层厚度背斜型均值$H_i = H_i/2$$\\tilde{H}_i = H_i$$\\overline{H}_i = 1.5 H_i$
方差${\\sigma^2}_{Hi} = (\\overline{H}_i v_H)^2$
断块型均值$\\bar{H}_{i}=H_{i} / 2$$\\overline{H}_i = H_i$$ H_{i}=1.5 H_{i} $
方差$\\sigma^2_{HI_i} = H_i^2 / 12$$\\sigma^2_{HI_i} = HI_i^2 / 3$$\\sigma^2_{H_i} = \\frac{2.25 H_i^2}{12}$
分 布 城$ H_{\\mathrm{min}}=\\bar{H}-1.96 \\sigma_{H }~~~~\\quad H_{\\max }=\\bar{H}+1.96 \\sigma_{H} $
有效孔隙度均值与方差$\\varPhi = -\\frac{1}{k} \\sideset{}{}\\sum _{i=1}^h \\varPhi_i$ $\\sigma^2_{\\varPhi} = (\\varPhi v_\\phi)^2$
分 布 域$\\varPhi_{\\text{min}} = \\varPhi - 1.96\\sigma_\\phi$ $\\varPhi_{\\text{max}} = \\varPhi + 1.96\\sigma_\\phi$
"} {"image_path": "images/a21b966afbcc78b73e997c311b7faa76.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$t_L(j)$j列i行$t_E(i)$01281819232531
0283
2721
810
1853
94
232
256
31
"} {"image_path": "images/658bf91e5db4a0195f7159306cc5f389.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TableRunner(2) L(2) M(2) D
$2^{3}/_{4}{''} \\times \\text{FW}$ 2 ea.--
$2^{1}/_{4}{''} \\times \\text{FW}$ -2 ea.2 ea.
"} {"image_path": "images/1a34df8d702d3c49626db1283591ee7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n$\\xi$m=1m=2m=3
ESSEOTEESSEOTEESSEOTE
1028·9528·9528·9554.7454.7454.74102·2102·2102·2
3129.1129·1129·1154.8154.8154.8199.8199.8199.8
1129·3429·2929·2963.7662·5262.94122·5120.7125.0
3125·5125·5123·3153.6153.7153.7208·9208·4208·0
1233·2232-5532·6084·9881·8788.41145-5142·7188·2
3123·2123·1122-6163.0162.6162·2252.7249.5247.8
1340.4638.8339.25101·697.37126.4152·4149.9277·3
3122·1122·0121·4187.7185.8182·9292·0288·1318.6
1449.7047.0648·58109.5105.1171·9154.5152·2381·8
3122-5122-4121·9220-0216·3214.7306·9303·6411·2
1559.5255·9359.80112.2108.4222-3155.4153.1496.5
3124.6124.5124·3245.5241·1255-2312.4309·3518·3
"} {"image_path": "images/9de863bbb5e197ae8f3cec93ffdcb8cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号应得分考 核 内 容
138负责全厂水、电、气的正常供给。(指在正常情况下)
2要对提供的 $\\mathrm{H}_{2} \\mathrm{O}_{2}$ 气质量负责。
3在工作中必须认真操作,严格执行工艺操作规程。
4在生产中必须认真做好记录,严格执行书面交接班制度。
5 严格遵守安全制度,做到安全生产第一,做好安全值日工作。
6上班应坚守工作岗位, 遵守厂纪厂规。
7搞好设备的维护保养工作。
指标分项 目考核指标加 扣 幅 度考核方式考 核 者
必考指标 $\\triangle$完 成: $\\triangle=1$未完成: $\\triangle=0$月考科领导
$Z_1$19水、电、气正常供应率100%全厂性停供20分非全厂性~10分(分线考核)月考科领导
$Z_2$19 设备完好率90%小于90每1%扣5分月考科领导
$Z_3$ 18工作地区卫生标准$\\not<$80分< 80分扣 2 分< 70分扣 5 分< 60分扣 10 分月考科领导组长
"} {"image_path": "images/4b9f7f8f793182aad484193a46f2d802.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BodyPronotumTegmina
LengthWidth
Female2379.522
Male........
"} {"image_path": "images/98868c7d7feb7b7106d6829bd182f052.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工作地剩余时间够资格分配的作业分配作业工作地闲置时间
11.0a, ca0.9
0.9b, cc0.2
0.2- 0.2
21.0bb0.0 0.0
31.0dd0.5
0.5ee0.3
0.3-- $\\underline{0.3}$0.5
"} {"image_path": "images/c8a1651691e361345b3ced5260a5bdc6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1882最低价51903·1904最低价$3^1/_2$1923最高价$12^3/_4$
1884最高价$11^1/_2$1905最高价$9^3/_5$1924最低价$6^3/_4$
1885最低价$6^1/_2$1907最低价51925最高价23.30
1887最高价$27^1/_4$1908最高价51927·1928最低价10.90
1888·1389最低价$9^1/_2$1912最高价151929最高价17.35
1890最高价$18^1/_2$1914最低价$5^1/_4$1931最低价4.40
1892最低价$10^1/_4$1917最高价9.901933最高价9.00
1893·1894最高价$17^3/_4$1918最低价6.601935最低价4.10
1900最低价41919最高价24.601936·1937最高价8.75
1901最高价$9^1/_4$1921最低价51937·1938最低价3.60
1939最高价4.00
"} {"image_path": "images/958c28b2f29cdb99d9c6c101153514da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
急病久病類別
人數
一八二八
四六合計
一二·八九七四·二二百分率
"} {"image_path": "images/bfb551a5d7942eaddc75a1bac6592498.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
tx$\\frac{x}{A-x}$Ak
$10^{\\prime}$27·90·39240·0392
$20^{\\prime}$44·80·8265413
$30^{\\prime}$54·21·2098403
$40^{\\prime}$61·51·6400410
$60^{\\prime}$70·52·4737412
$120^{\\prime}$81·34·5932383
$180^{\\prime}$87·17·3192406
$240^{\\prime}$89·49·3125388
Mittel 0·0401
"} {"image_path": "images/f011da70057518d732fbfa2ad390e3ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
b = 1.052.88 5.625 9.3750
$r_{0}^{+}$Re$r_{0}^{+}$Re$r_{0}^{+}$Re$r_{0}^{+}$Re$r_{0}^{+}$Re
6000905048510180360 945632592432959088
1110017530882195808202356087528040100036310
25600529001600 385301950632502210 804602210 89640
50000966505000 1415405000 18440030001139002500 103140
10000021220075002232007300 29090050002027005000 225600
1500003346001000308400100004012001000044080010000488900
"} {"image_path": "images/38c9a609b3e70740b03876a99ba8ad94.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别颜色词 浓度 亮度纯色 多色色调适用对象感情色彩其他内容
浓 中 淡明 中 暗
+++像鲜血+
++++
++++
+++纺织品
粉$_⑧$++含白+
火$_④$+++像火+
++++
++++
+++人脸
++带橘红+
++++
++++
++带黑+
++含褐+
++++
++++
+++牛马等毛
彤$_①$++++
赤红++++
绯红+鲜艳++
粉红++带白+
殷红++带黑+
朱红+鲜艳++
紫红++略带紫+
"} {"image_path": "images/53eaef307855fbf12fbe8042f36a0e89.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
公 称 直 径DN尺寸插 口 尺 寸螺 栓 孔
法 兰 盘外 径D₁螺孔中心圆直径D₂承口内径D₃承口大径D₅ ACPLF$R_5$R外径D₄VWXdn/个
100252210122150181290655 2345118$1.5~_{-1.2}^{+0}$2010234
150297254173201956241696
200365 320 22625413100701025552208
2504183662783062175271.6
3004654163303591410580 26322.8$2~_{-1.2}^{+0}$2515
35051747538241115374
400577530433.6463 24 15110425.612
50067863053656716115851828528
600792740638.8671262966630.82414
70091085474177517120953073316
"} {"image_path": "images/619c9a296796662b36c5c6d1be7b8df9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
单 位 名 称单位数年 末
合 计固 定职 工
其中: 女性
五、交通运输、邮电通讯业4857145618
运 输 一 公 司37655241
运 输 二 公 司20040120
旅 游 公 司19645172
航 运 公 司85585
六、商业、物资供销业13826254698
1、商 业11 688207562
商 业 公 司1064499
食 品 公 司24048217
水 产 公 司17717
外 贸 公 司622661
粮 食 公 司1122382
计 量 所10310
经 协 中 心12211
华 新 公 司3249
京 汉 公 司744136
"} {"image_path": "images/3085ed7c241386fea417be43e055f227.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
4 YEARS5 YEARS6 YEARS7 YEARS8 YEARSTOTALGRAND T TAL
BoysGirlsBoysGirlsBoysGirlsBoysGirlsBoysGirlsBoysGirls
Tools-Continued:
Industrial-Continued:
Electric engine111
Forceps11l
Gimlet1122
Grass mower16124610
Hammer11034116310
Hatchet1921147128735
Hoe111
Ice tongs1111
I er352167504035311414218712030
Meat grinder2111235
Moving picture machine111213
Nails41415
Pick1233
Pile driver111
Pincers444
Pitch fork11112
Plane511617
Plow22224
Printing outtit111
Pulley and weight111
Rake35121211135131316
“Sand grinder”11112
Saw38623111151025
Scales211314
Screw driver111
Soythe1 122
Steaml rullcr111
Steam shovel111
Street repairing machine111
Tacks11 11
Telephone1 12224
Threshing machine111
Tractor1122
Typewriter111
Wireless13314
Wrench111
Total48261378687616625172355200555
Fighting and hunting:
Bomb1111314
Bow and arrows211618111742
Bullets and shell1121415
Cannon514331511
Cannon balls111
Fish hooks111
Fish line2133
Gun or pistol391761561256157
"} {"image_path": "images/773af1e89aae9f5e7f1c24f89e533d8d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
在直接引语中在间接引语中
指示代词thisthat
thesethose
时间状语nowthen
todaythat day
yesterdaythe day before
last weekthe week before
tomorrowthe next day
next yearthe next year
two days agotwo days before
地点状语herethere
动词时态一般现在时一般过去时
现在进行时过去进行时
现在完成时过去完成时
一般过去时过去完成时
过去完成时(不变)
一般将来时过去将来时
动词变化can/maycould/might
musthad to
comego
bringtake
"} {"image_path": "images/074618c58db8c8a1449cb74edb5c9b71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
V、I
0T
"} {"image_path": "images/c21f4b3ed41dc3cd10de9269a63fd0b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
原 油试 验 前开发方式残余油饱和度(%)试验进行阶段原油产量(吨/年)原 油增产量(吨/年)试验评价是否有利
精度(厘沿)温度 $^{\\cdot}\\text{C}$开始终了
注水 刚开始 1607220有希望
16048一次开采5551 完成一·半5529749767成功
0.28113注水61.853.6刚开始22348评价尚早
0.66777一次开采205完成一半00评价尚早
0.3989一次开采205刚开始00评价尚早
0.5109一次开采205刚开始00评价尚早
0.99116一次开采56.932刚开始00评价尚早
0.33109注水225完成一半有希望
0.2116一次开采59接近完成00有希望
1.132注水63.858.3刚开始14790
1.516一次开采38.428刚开始8428评价尚早
注水
1.734注水3015刚开始1861评价尚早
0.9注水刚开始评价尚早
1.5注水46完成一半评价尚早
0.3641注气8655完成--半10293787029成功
1.428注水7972刚开始166617140
0.3554一次开采接近完成3046529856836成功
注水
0.38110一次开采5020刚开始58131453评价尚早
2.341注水32完成一半356356有希望
2.341注水43完成一半305评价尚早
2.341注水74完成一半 2085评价尚早
0.6一次开采5525刚开始 38991462评价尚早
注 水
241一次开采5035刚开始2924评价尚早
2.2注水61接近完成34192642成功
1.5注水完成一半4412144121有希望
注水刚开始评价尚早
"} {"image_path": "images/22fe798f17b24d13702dd38f03cb09f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
器 官主要内脏传入道加入神径丛及主要机能 传 出 路
节前神经细胞 体 位 置节后神经经过节后神经突触部位主要机能
$\\frac{\\text{迷走神经}}{\\text{反射机能}}$迷走神经背核迷走神经直接分支及经过腹丛肝丛临近脏器终神经节分泌增加(? )血管扩张(? )
$\\frac{\\text{迷走神经}}{\\text{反射机能}}$迷走神经背核迷走神经经过腹丛牌丛及胃十二指肠短支临近脏器终神经节分泌增加(?)血管扩张(?)
小 肠$\\frac{\\text{迷走神经}}{\\text{反射机能}}$迷走神经背核迷走神经经过腹丛及肠系膜上丛→迥肠神经肠 丛蠕动及分泌增加 ?
直肠及阑 尾$\\frac{\\text{迷走神经}}{\\text{反射机能}}$(不疼)迷走神经背核迷走神经经过腹腔丛,肠系膜上丛→迥肠神经肠 丛 蠕动及分泌增加括约肌松弛
结 肠脾 曲$\\frac{\\text{迷走神经}}{\\text{反射机能}}$(不疼)迷走神经背核迷走神 经 经 过 腹丛、肠系膜上丛→右中结肠动脉神经肠 丛蠕动及分泌增加括约肌松弛
脾 曲到直肠远端结肠及直肠神经胃下丛→盒神经骶髓侧角细胞盒神经→胃下丛→远端结肠及直肠神经肠 丛蠕动及分泌增加内括约肌松弛
肾上腺迷 走 神 经?迷走神经经过腹丛及肾上腺丛??
迷 走 神 经迷走神经背核迷走神经经过腹丛及肾丛肾脏附近的肾节血管扩张肾盂收缩其他不知
输尿管由交感神经来完成骶髓侧角细胞盒神经→经过上、下胃下丛及输尿管神经输尿管神经的小神经节蠕动增加?
膀 胱盒 神 经骶髓侧角细胞盒神经→胃下丛→膀胱神经膀 胱 丛内括约肌松弛膀胱壁收缩
子 宫骶髓侧角细胞盒神经→胃下丛→子宫及输卵管神经胃下丛子宫颈旁神经节血管扩张分泌增加
睾丸輸精管添精囊骶髓侧角细胞盒神经→胃下丛输精管睾丸器精囊丛胃下丛子宫颈旁神经节血管扩张分血增加
"} {"image_path": "images/8fef64db66944a2899dca6b0e930456e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
尺 寸ABCDEF螺 栓
数 目尺 寸
83/87/161.1/4$ 1.5/8 $13/445/8
9 . 133/87/161.1/4$ 1.5/8 $13/465/8
14 . 173/87/161.1/4$ 1.5/8 $13/485/8
18 . 213/87/161.1/4$ 1.5/8 $13/4105/8
22 . 233/87/161.1/4$ 1.5/8 $13/4125/8
24 . 291/29/161.3/4$ 2.1/4 $$ 1.1/8 $1165/8
30 . 331/29/161.3/4$ 2.1/4 $$ 1.1/8 $1205/8
34 . 431/29/161.3/4$ 2.1/4 $$ 1.1/8 $1245/8
44 . 515/811/16$ 2.1/8 $$ 2.3/4 $$ 1.1/4 $285/8$ 1.1/4 $
52 . 605/811/16$ 2.1/8 $$ 2.3/4 $$ 1.1/4 $$ 1.1/4 $325/8
"} {"image_path": "images/f440f5e3cb0f2dca4553af3fab487271.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
47.柵欄里的牛犢龍力游73.和田女張 羣
48. 滿族婦女肖像韋爾申74.玫瑰董啟瑜
49.喇嘛姜國芳75. 彭麗媛肖像靳尙誼
50.秋郭 力76.風景何大橋
51. 偶跪女人體雁 羣77.寺廟一角張自申
52.土地、藍色的和諧胡建成作品 · 黑白圖版
土地、黃色的和諧韋爾申78.溫湖夏 星
53.女人體姜國芳79.彝女李貴君
54.肖像孫為民80.無題劉晨煌
55.夢胡建成81.女側面像王玉琦
56:女人體 孫為民82.少女肖像石 長
57.坐朱 剛83.肖像 石 長
58.女人體王 垂84.試鞋翟欣建
59.女人體郭潤文85.休息 翟欣建
60. 悠閑的珊嵐趙玉民86.小姚楊飛雲
61.魚張惠平87.回眸楊飛雲
62.臨窗張惠平88.牛赫王玉琦
63.牛頭張惠平89.男人的側面像王玉琦
64.靈谷 嵐90.側面楊飛雲
65. 七里鋪。章曉明91.肖像王玉琦
66.月色李天祥92.人體孫為民
67.長信燈柴 旭93.雙人體王 垂
68.女人體郭潤文94.苗女側面像李慧昂
69.女人體朱 剛95.母與子王沂東
70. 風從這里吹過余國洪96.搓王沂東
71.高原之戀郭潤文97.新娘王沂東
72.果實靳尙誼98.暖冬王沂東
99.有蘋果的青年系列宮立龍
"} {"image_path": "images/89ec8be1d2c70650bce998d8de43f8f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
授課年段 :二下學分總數 : 2
課程屬性 :專題探究
師資來源 :校內單科
學習目標 :資訊爆炸的時代 ,重要議題往往以「懶人包」形式流竄,大部分的人見到的議題很有可能經過剪輯重組成另一主觀的意象。現今社會上有很多衝突的來源,即多為「每個人得知的資訊或知識的量是不一樣的」而形成,資訊落差應該要被消弭。故本堂課籍地理學三大觀點探討議題,化繁為簡,用影像化的方式來重新包裝社會議題。
教學大綱 :週次/序單元/主題內容綱要
課程簡介課程介紹、課程準備(小組分組,一組3-4人)
地理的研究方法(一)1. 如何問一個好的問題。2. 發掘問題的方法。3. 地理學三大傳統介紹(以議題來舉例。)
地理的研究法(二)1. 常見的地圖圖資平台介紹 :百年歷史地圖–學校附近地景變遷舉例2. 如何判讀衛星影像圖
地理方法的应用(一) 地Mc-V-1 法规,制度,地权与地理景观塑造正 。[實作]1. 各小组根据百年歷史地图圈出最感兴趣的地景變化點2. 小组討論該景變化點变的最可能原因爲何。
地理方法的應用(一) 地Mc-V-1法規、制度、地權與地理景觀塑造 。臺北盆地地景歴來變化介紹 。
小組報告(一)各組上台報告住家或學校附近地景的變化(需運用到前面課堂所學內容)
地理方法的應用(二) 地Md-V-2地方文化與觀光產業的發展。東亞 、東北亞的觀光業比較 。
地理方法的應用(二) 地Md-V-2地方文化與觀光產業的發展 。如何尋找地方的觀光潛力點 ?
地理方法的應用(二) 地M d-V-2地方文化與觀光產業的發展 。如何透過地景變遷說一個觀光景點的歷史故事:以大稻埕地方文化舉例。
地理方法的應用(二) 地Md-V-2地方文化與觀光產業的發展 。推銷地方文化的懶人包舉例 ; 如何製作一個推銷地方文化的懶人包(蒐集和解析資料的技能)
十一期中討論(一)小組的觀光場域決定主題 。[作業]缴交主題, 並將實作之任務規畫表擬出 ,於第十三~十五週落實 。(小組缴交)
十二期中報告各組簡介主題及資料整理(文獻回顧)、規劃表說明 。
十三期中討論(二)小組實作(主題修正、主題資料查找)
十四期中討論(三)小組實作(影片製作、一影片10分鐘為限)
十五期中討論(四)小組實作(影片製作完畢)
十六期末成果(一)各組互評成果(一)[作業]缴交小組互評成果。
十七期末成果(二)各組互評成果(二)[作業]缴交小組互評成果。
十八總結総結本學期課程內容。
十九
二十
二十 一
二十 二
學習評量 :课程参与10%、作业书写(含影片制作)50%、口头报告30%、学生互评10%
備註 :本課程須有硬體設備支援,例如:平板、筆電...等 。
"} {"image_path": "images/69056c8d66615bf4c23324ae6255475c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Substr-ate$\\text{GaAs}$$\\left(\\varepsilon_{r}=12.9\\right)$Plastics$(\\varepsilon_{\\mathbf{r}}=2.22)$$\\text{Alumina}$$(\\varepsilon_{\\mathbf{r}}=9.7)$$\\text{Alumina}$$(\\varepsilon_{\\mathbf{r}}=10.1)$
$\\mathrm{h}(\\mu\\text{n})$$100254127635380400
$\\mathrm{t}(\\mu\\text{n})$2$17.5$17.5$2$3$2
M,N5,33,23,24,24,24,2
$a_{00}$.89631.99960.99912.94360.94614.94229
$a_{01}$.16995$.14323 \\times 10^{-1}$$.12805 \\times 10^{-1}$.10316.10933.11272
$a_{02}$$-.69075\\times 10^{-1}$$-11455 \\times 10^{-1}$$-.10867 \\times 10^{-1}$$-.56725 \\times 10^{-1}$$-.55529 \\times 10^{-1}$$-.59603 \\times 10^{-1}$
$a_{03}$$-.78411\\times 10^{-2}$$.22587$\\times 10^{-2}$$.23232 \\times 10^{-2}$ $.26502\\times 10^{-2}$ $.26287\\times 10^{-3}$$.13959 \\times 10^{-2}$
$a_{04}$$-.45987\\times 10^{-2}$.00000.00000$.31846 \\times 10^{-2}$$.24353\\times 10^{-2}$$.34819\\times 10^{-2}$
$a_{05}$$.71210 \\times 10^{-3}$.00000.00000.00000.00000.00000
$a_{10}$-.42781$-22312 \\times 10^{-2}$$-.42684 \\times 10^{-2}$.11123-.36115-.45730
$a_{11}$.51532$.90593 \\times 10^{-2}$$.28201 \\times 10^{-1}$.95333.15528.65467
$a_{12}$$-.96986 \\times 10^{-1}$$-.33336\\times 10^{-1}$$-.70588 \\times 10^{-1}$-.35162-.42619-.33073
$a_{13}$$82001 \\times 10^{-2}$$.13641 \\times 10^{-1}$$.27036\\times 10^{-1}$-.44937.23626$.26881 \\times 10^{-1}$
$a_{14}$$.33134 \\times 10^{-2}$.00000.00000$-.62438 \\times 10^{-2}$$80691 \\times 10^{-1}$$.13609 \\times 10^{-1}$
$a_{15}$$-.78121 \\times 10^{-1}$.00000.00000.00000.00000.00000
$b_{00}$.35620.72875.72923.40144.40081.39358
$b_{01}$ $.98750 \\times 10^{-2}$ $-.38051 \\times 10^{-2}$$-.32397 \\times 10^{-2}$$-.64388 \\times 10^{-2}$$-.65335 \\times 10^{-2}$$-.67951 \\times 10^{-2}$
$b_{02}$$81594\\times 10^{-3}$$.12219\\times 10^{-2}$$.12535$.21859 \\times 10^{-2}$$.96598 \\times 10^{-3}$$.99237 \\times 10^{-3}$$.14451 \\times 10^{-2}$
$b_{03}$$.75375\\times 10^{-3}$.00000.00000.00000.00000.00000
$b_{10}$.21331$.12655 \\times 10^{-1}$$.21859 \\times 10^{-1}$.13182.13917.20730
$b_{11}$. $82700 \\times 10^{-1}$$-.12009 \\times 10^{-1}$$-.27980\\times 10^{-1}$-.13143-.15370-.13590
$b_{12}$.11323$.84954 \\times 10^{-2}$$.16751x10^{-1}$$.91950 \\times 10^{-1}$$.92805 \\times 10^{-1}$$.49911 \\times 10^{-1}$
$b_{13}$$.73125 \\times 10^{-1}$.00000.00000.00000.00000.00000
"} {"image_path": "images/1a52092cf8ec7d38105e9d58007ee0fe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Trans.DateBalance SheetIncome Statement
AssetsLiabilitiesStockholders' EquityRevenueExpenseNet Income
Accounts Rec. 6,000
Allow for Doubtful Accts 6,000
Net Effect0
Retained Earnings
(Net Income)
"} {"image_path": "images/26d63387201b7234b6ea17ef633e3bcb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ComponentNumber Mole %Weight %
Nitrogen0.00.0
Carbon Dioxide0.00.0
Hydrogen Sulphide0.00.0
Methane$C_1$0.00.0
Ethane$C_2$0.020.0
Propane$C_3$0.450.13
Iso-Butane$C_4$0.450.17
n-Butane$C_4$2.130.80
Iso-Pentane$C_5$2.110.98
n-Pentane$C_5$2.901.35
"} {"image_path": "images/a4ed879a1348b7e7bedafde27519cd09.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测站编号后尺下丝上丝前尺下丝上丝方 向及尺 号
后 距前 距
距 离 差$d(m)$∑d(m)
11.571(1)0.739(4)后 12
1.197(2)0.363(5)前13
37.4(15)37.6(16)
-0.2(17)-0.2(18)后一前
22.1212.196后 13
1.7471.821前 12
37.437.5
-0.1-0.3后一前
31.9142.055后 12
1.5391.678前13
37.537.7
-0.2-0.5后一前
41.9652.141后 13
1.7001.874前 12
26.526.7
-0.2-0.7后一前
50.5652.792后 12
0.1472.356前 13
41.843.6
-1.8-2.5后一前
61.5002.813后 13
1.0692.357前 12
43.145.6
-1.5-4.0后一前
$\\Sigma$ 后
$\\Sigma$ 前
$\\Sigma$ (后一前)
"} {"image_path": "images/9bfb3dabeb9140678b9761782f3139ef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
顺序号项 目单位单 价纱 窗 扇窗 上小气窗
每100平方米10每10个11
预 算 价 格1,030.9016.01
其中: 人 工 费\"87.362.72
材 料 费\"915.6312.22
机 械 费\"27.911.07
(一) 制
12木 工其 他 用 工工 日\"23.160.720.900.03
合 计工 日2.0423.880.93
3红 白 松 一 等 中 小 方立 方 米198.771.8730.027
4红 白 松 二 等 中 板\"147.31
5框 料 二 等 中 方\"136.47
6红 白 松 三 等 小 方\"116.76
7 水 胶公 斤2.190.800.02
8 铁 纱平 方 米1.67100.00
9 铁 钉公 斤1.210.80
10 木 材 干 燥 费28.100.41
11 半 成 品 运 费\"7.51
12 其 他 材 料\"2.00
13 大 专 机 械 费27.911.07
小 计656.268.79
"} {"image_path": "images/e9f4e0f3f5b4e592f3f3a13807c05246.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\underline{Group 1}$# of cases $\\underline{Group 2}$# of cases $\\underline{Group 3}$# of cases
Ethnicity
Japanese33.336.043.0
Caucasian17.321.017.0
Filipino28.025.020.0
Hawaiian/Part-Hawaiian6.04.08.0
Other/No Info5.414.024.0
Education(Grade)
$ 1-8 or lower $54.644.846.3
9-1233.434.538.8
1212.020.515.1
"} {"image_path": "images/6b0fe3455df60a697bbbf68f34cb8711.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工序代号工序所花时间(天)紧前工序
E 4 C
F 3 D
G 1 E、F
"} {"image_path": "images/99f140eb1dc4464742e6b9a06ae31b3b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Actual UnitsBudget Price Actual Price UnitVarianceTotal PriceVariance
Sold233 - 2 = 41 x 4 = 5
1££££
A902021+ 1+ 90
B 2202524- 1- 220
C3501010--
Adverse Price Variance$\\overline{\\quad\\quad}$-130$\\overline{\\overline{\\quad\\quad}}$
"} {"image_path": "images/a4639db444afca04bc358d93519d8f7c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类 型 杆 件编 号n 值
$2\\sqrt{3} $456
上弦1-7.00-7.83-9.42-11.07
2-6.50-7.38-9.05-10.75
3-6.00-6.93-8.68-10.43
4-5.50-6.48-8.31-10.12
腹杆5、7-0 87-0.89-0.93-0.95
6-1.73-1.79-1.86-1.90
8、90.871.001.251.50
101.732.002.503.00
112.603.003.754.50
下弦126.077.008.7510.50
135.206.007.509:00
143.464.005.006.00
"} {"image_path": "images/ff8a696bf4b2fb3c8f3dbe268c10903f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
25. JuliP. 727680
T. 36,6-36,9
26. -P. 647272
T. 36,8-37,3
27. -P. 727676
T. 37,0-37,3
28. JuliP. 768080
T. 36,8-37,2
29. -P. 6872.76
T. 36,8-37,1
30. -P. 728084
T. 36,9-37,1.
"} {"image_path": "images/ca2a6f18a088c8e7042666809cf025ef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
課程名稱:中文名稱:拉蹦泛科學I
英文名稱:Lebon PanScience I
授課年段:二上學分總數:2
課程屬性:跨領域/科目統整
師資來源:校內跨科協同
課綱核心素養:A自主行動:A1. 身心素質與自我精進,A2. 系統思考與問題解決,A3. 規劃執行與創新應變,
B溝通互動:B1. 符號運用與溝通表達,B2. 科技資訊與媒體素養,
C社會參與:C2. 人際關係與團隊合作,
學生圖像:2-1思考辨析,2-1-1運用思考工具提昇思考力,具備系統思考、分析與探索的素養。,3溝通表達力,3-1溝通表達,3-1-1運用有效且流暢的溝通方式達到溝通目的,促進溝通意願與人際互動及社會參與。,
學習目標:1. 提升學生對於科學實驗操作知能。2. 增加學生團隊合作溝通的能力。3. 提升學生對於化學課程之學習興趣,進而深化教學。4. 從化學實驗中學習正確使用實驗器材,培養學生的自信與耐性。5. 暢談科學,思辯社會中的科學面向。
教學大綱:週次/ 序單元/主題內容綱要
課程介紹自然科學創意探索-腦力激盪
自然科學創意探索分組-週期表-化學桌遊(化學事-化學克漏字)素材整理技巧
科學表達力訓練製作模型(拍照並撰寫說明書)
科學表達力訓練科學表達力實作競賽
科學表達力訓練教學製作科學表達力簡報
科學表達力訓練科學表達力(上台報告)
儀器操作訓練&甜度計溶液配製的原理與實作(1)
儀器操作訓練&甜度計溶液配製的原理與實作(2)引言+介紹甜度計及檢量線。
儀器操作訓練&甜度計配藥並將兩個實驗的數據紀錄下來製作檢量線(借筆電),並且利用檢量線測出兩杯未知溶液的濃度,並數據分析。
+儀器操作訓練&甜度計製作報告並上台發表
十一溶氧(DO)测定定量分析(溶氧的测定)
十二溶氧(DO)测定校園水質测定/溶氧學習單
十三海報製作海報製作:第一次作海報就上手
十四影片製作教學PanScientific Show 録製課程介紹影片
十五影片製作教學影片製作(1):旁白、字幕
十六影片製作教學影片製作(2):轉場、特效
十七期末測驗與回饋期末測驗與回饋:筆試 / 影片檢核
十八期末學習整理期末學習整理:觀賞各組影片語口頭回饋
十九
二十
二十一
二十二
學習評量:1. (30%)競賽分數2. (20%)PPT報告作業分數3. (20%)上台表達分數4. (20%)實作表現分數5. (10%)期末測驗分數
"} {"image_path": "images/d8a59ebb4599612e6ef26d28388f9d2d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IPIIPIIIIV = IIP +
abababab
45454599
44991010
5510101111
1111
"} {"image_path": "images/6de8e6a8015eb0dabd6e39a076b7a562.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料系 厚度 / $\\mu$m材料价 /$\\$ . \\text{W}^{-1}$制造价$^{[1]}$ /$\\$ . \\text{W}^{-1}$售价$^{[2]}$ /$\\$ . \\text{W}^{-1}$
1 级
$\\mathrm{Cu}_{2} \\mathrm{~S} / \\mathrm{CdS}$5 .01.181.226
$Cu_2S / ZnCdS$5.01.181.226
$a - Si / I - M^{[3]}$5.01.181.226
$Cu_{2}O / Cu$ 5.01.181.226
$Zn_{3}P_{2} / Mg$ 5.01.181.226
花青 / Al.5.01.181.226
2 级
Si25.03.209.261
CdTe / CdS5.03.209 .261
$Cu_{2}Te / CdTe$5.03 .209.261
CdSe / ZnTe5.04.224.280
InP / CdS1.06.252.315
3 级
Si200.25.522.653
${CuInSe}_{2} / CdS$5.20.451.564
GaAs / I - M51.001.5871.984
GaAs / I - M1.20.451.564
InP / CdS5.30.593.741
"} {"image_path": "images/21e3d1d49eda22fbaa5810a6e4ee4549.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Art der Flä-chenbehand-lungArt der Behand-lung der Mai-blumenkeime AnzahlPratylen-chusin 1 g Wur-zelnAnzahl Nem. in 250 ccm Erde
Pratylen-chusParatylen-chusSonstige Gat-tungen(Tylenchorh.,Rotyl., Doryl.)Tricho-dorusHetero-dera-LarvenSumme
nicht Terabolbegastnicht gebeizt23763601010000 01370
nicht Terabolbegastm. Ceresan ge-beizt51263600270020650
Terabol begast Warm-wasserbeh.169610000010110
Terabol begastnicht Warm-wasserbeh.225310000010
Terabol begastm. Ceresan ge-beizt308823000010 240
"} {"image_path": "images/3c014a1d89ba0503630e9803cbd3a073.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
附录18 不同心肌节段的位移和收缩期应变
间隔侧壁下壁前壁
位移,cm
基底段$ 1.2\\pm 0.19 $$ 0.93\\pm 0.22 $$1.33 \\pm 0.22$$ 1.05\\pm 0.27 $
中间段$ 1.13\\pm 0.27 $$ 0.91 \\pm 0.18 $$ 0.62 \\pm 0.22 $$ 1.04\\pm 0.19 $
心尖段$ 0.65 \\pm 0.24 $$ 0.82\\pm 0.27 $$ 0.55 \\pm 0.18 $$ 0.41\\pm 0.25 $
收缩期应变,%
基底段$ 1 7.5 \\pm 5.3 2 $$ 18.22\\pm 6.79 $$ 14.97\\pm 5.74 $$ 22.19\\pm 7.75 $
中间段$ 18.27\\pm 6.93 $$ 18.83 \\pm 5.29 $$ 14.2\\pm 5.14 $$ 17.95\\pm 5.53 $
心尖段$ 19.31\\pm 6.07 $$ 17.56 \\pm 5.85 $$ 23.6 \\pm 5.17$$ 13.17\\pm 5.83 $
"} {"image_path": "images/6d9043218ed14b7667f161f0e40cb3aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
迁入地名始 祖迁入时间何处迁来后裔主要分布点查阅页数
世 系姓 名朝 代年 号公 元
闹村乡东 洋86仕驰1598/1657本村本乡小施村,山门镇大寮后,东屿乡屿边村、泰顺县南院乡祭垟岗等141
麻步镇下埠渡头86懋贵福建南靖县承丰里本村,苍南县魁里乡鲂鱼山。树贤乡鱼池头108
麻步镇东 洋86懋植崇祯1605/1665福建南靖县承丰里本村,后林乡张家山108
麻步镇麻车头86懋再崇祯1633福建南靖县法水坑本村郑楼乡郑楼村。苍南县大龙乡小沿、长潭村大茶山。二十二都蕉岙等107
树贤乡江 景85世梗乐清县象山麻园本村,本乡坑仔内,梅溪乡磨石坑等150
树贤乡东 坑86懋结顺治1630/1695福建南靖县承丰里本村,桃源乡后江村。109
树贤乡岙底86懋明福建南靖县承丰里本村等109
桃源乡后江86懋养崇祯1619/1704福建南靖县承丰里本村,瑞安市北门外、东山上埠、东门外,南湖乡塘尾。梅溪乡磨石坑,南湖乡三代宫。福,鼎县郭垟东岙等109
后林乡淡 浦86懋仁福建南靖县承丰里本乡,苍南乡黄坑村108
"} {"image_path": "images/d18c77bbba85626cd740990512f4c7e2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
参 数数 值
距离,r/a47.5911.2515.25
第一种波速,千米/秒53.753.753.813.81
第二种波速,千米/秒1.431.701.902.10-
第一种波质点速度,米/秒22.66.76.02.7-
第二(译注:原文为一)种波质点速度,米/秒151342915.66.7
第一种波压力,兆帕103.623.020.79.4-
最大波压力,兆帕270.164.760.833.523.5
出现的水量,%(X)42.09.57.02.4-
水膜的厚度,埃-989817-
计算出来的第二波速度,千米/秒-1.721.661.812.08
"} {"image_path": "images/0cbfac65a8c10a44cf71fc93e5cbe581.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项 目合计建 设 期运 营 期
1······mm+1······n
19××
(一)运输收入
(二)运输税金及附加
(三)营业支出
(四)营业外净支出
(五)利润总额[(一)-(二)-(三)-(四)]
(六)利税总额[(一)-(三)-(四)]
6.1弥补以前年度亏损额
6.2应纳税所得额
(七)所得税
(八)税后利润[(五)-(七)]
(九)特种基金
(十)可供分配利润[(八)-(九)]
10.1盈余公积金
10.2应付利润
10.3未分配利润
10.4累计未分配利润
计算指标投资利润率
投资利税率
资本金利润率
"} {"image_path": "images/3de225c7ecada7e57ed2d3e4fe4873b7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
淬火温度(℃) C 0.13%Mn 0.38%水冷C 0.42%Mn 0.90%水冷C 1.35%Mn 0.37%水冷C 1.35%Mn 0.37%油冷
变 形 量$(\\mu m)$硬度HBS变 形 量$(\\mu m)$硬度HBS变形量$(\\mu m)$硬度HBS变形量(μm)硬度HBS
DLDLDLDL
4501-1103-123178-11222802228
5501-7111-1.624--1 121230010225
600---01-------
6507-6411845-35-3-192500.510230
70012-941219-8620110-6526005225
75018- 1211401315541618- 12527500226
800-3.564180-144125504878>600271>600
900-24216350---118-31>6001.5118>600
950-34318360-39684575----
"} {"image_path": "images/c8c0185899616f2d1a59c86b56fcf24b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类 别税 目征 收 范 围税率%说 明
五、皮革、皮毛、毛 制品 类 自产丝生产的15 企业把自产的牛皮革和其他皮革用于本企业连续生产的,在移送使用时皮当按照规定的税率征税.
外购毛纱、纯麻纱、丝生产的8
52.纺织复制品。
棉纱、麻混纺纱生产的8
自产毛纱生产的18
自产纯麻纱生产的18
自产丝生产的15
外购毛纱、纯麻纱、丝生产的8
53.地毯5
54.牛皮革 10
55.其他皮革10
56.猪皮革5
"} {"image_path": "images/c48491cafbfde21842e8a776b18b8d84.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
本期的目标目前的实绩今后的展望
目标展望不同的前两家公司 未能依照当初计划进展的背景参考洽谈记录、依时间顺序做整理
顾客名称实绩展望
访问日期与面谈者
营业活动上的共同课题是什么?
顾客名称目标之间的差距应该进行什么样的营业活动、采取什么行动?此一行动会不会带给其他顾客影响?进行中应注意哪些情况?
进度的中途确认日员郾圆郾猿郾源郾
上司建议内容
顾客名称目标之间的差距应该进行什么样的营业活动、采取什么行动?此一行动会不会带给其他顾客影响?进行中应注意哪些情况?
进度的中途确认日员郾圆郾猿郾源郾
上司建议内容
途中确认后采取的措施
"} {"image_path": "images/0b56bbb85391becb0eb58910b0c9b3ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0方向风 = 1/6675(及其层号=3)
90方向风 = 1/6075(及其层号=5)
180方向风 = 1/6675(及其层号=3)
270方向风 = 1/6075(及其层号=5)
0方向地震 = 1/2271(及具层号=3)
90方向地震 = 1/3023(及其层号=6)
"} {"image_path": "images/2f877dd87557a217d51ffd0f19a9bead.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地 区1980年1981年1982年1983年1984年1985年1981~1985年合 计
全 国 总 计100.0100.0100.0100.0100.0100.0100.0
北 京4.33.53.03.74.64.74.1
天 津3.63.83.83.73.94.64.0
河 北6.75.23.83.74.13.84.0
山 西3.32.72.82.83.23.23.0
内 蒙 古1.31.71.82.21.71.71.8
辽 宁9.99.99.08.88.99.59.2
吉 林2.64.03.82.72.72.73.1
黑 龙 江7.17.55.35.83.93.34.8
上 海8.25.75.86.07.37.96.8
江 苏4.04.25.54.94.95.55.1
浙 江2.53.13.22.62.62.52.7
安 徽1.72.12.82.42.32.82.5
福 建1.71.81.51.51.91.91.8
江 西2.12.21.91.82.21.71.9
山 东6.55.65.36.44.74.75.3
河 南3.33.94.44.83.63.64.0
湖 北3.53.23.44.24.74.14.0
湖 南3.52.92.93.63.63.63.4
广 东2.73.37.47.37.67.66.9
广 西1.31.71.91.61.51.61.6
四 川6.47.16.25.76.26.96.4
贵 州1.51.41.21.41.71.71.5
云 南1.42.42.62.02.52.22.3
西 藏......0.10.10.10.1
陕 西2.02.12.42.62.42.62.5
甘 肃1.81.91.51.81.71.71.7
青 海0.30.30.40.40.40.30.4
宁 夏0.60.70.50.50.50.60.6
新 疆1.52.82.52.01.71.41.9
不 分 地 区4.73.33.43.02.91.52.6
"} {"image_path": "images/ee663d7251c6552704b089e957859f8c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
历、日节日名称公 历农 历伊 历星期
元 旦1995年5月31日$乙亥年^*$五月初三日 1416年
阿 舒 拉 日6月9日五月十二日1 月10日
圣 纪8月9日七月十四日3 月12日
登 霄 节12月19日十月廿八日7 月27日夜
拜 拉 特 夜$1996^*$1月6日十一月十六日8 月15日夜
入 斋 月1月22日十二月初三日9月1日
盖 德 尔 夜2月16日十二月廿八日9 月 27 日夜
开 斋 节2月21日 丙子年正月初三日10 月1日
"} {"image_path": "images/7a7b82ad7ac2d1f30c8ea3578fcde1f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
鉴 别 点法乐氏四联症法乐氏三联症
心脏听诊及心音图收缩期杂音位 置较低,左2、3、4肋间较高,左2、3肋间
强 度 较弱,Ⅰ~Ⅱ,少数达Ⅳ 级较强 Ⅰ~ Ⅴ 级
持续时间较短较长
形 态不典型的菱形菱形
终 止$~$主动脉瓣关闭音之前(即 $\\mathrm{A}_{2}$ 之前)$~$主动脉瓣关闭音之后(即 $\\mathrm{A}_{2}$ 之后)
肺动脉瓣区第二心音 减弱或消失,呈 “单一心音” 无分裂减弱,明显分裂
收缩早期喷射音(Click) 有,在主动脉瓣区及心尖区可有,在肺动脉瓣区
第四心音可无可有
"} {"image_path": "images/cbb3584f675e6d7c6f4e7ed12311cdb0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
針刺組1(—)1:161:161:1281:2531:64
21:81:341:1281:321:8
31:81:131:041:1281:13
41:41:321:841:1281:32
51:41:321:1281:1281:16
61:161:321:1281:16
7(—)1:321:321:64
81:81:81:8
91:81:161:16
10(一)1:321:321:321:32
111:81:161:321:321:4
针刺粗平均效价值1:10.671:26.91:69.11:90.61:24.57
对照粗1(一)(一)1:81:321:321:4
21:41:81:321:641:16
31:161:81:1281:641:16
41:81:161:321:641:16
51:41:81:321:64
61:16
7141:81:321:321:64
对照组平均效价值1:7.421:9.33.1:481:53.31:23.3
"} {"image_path": "images/ed1cfc783e65a9a5a06a585d39e8cedb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
林 潔志 清二 三蒙 化蒙化縣
叚克家治 平二 一富 民富民
施家驊從 周十 九昆 明昆明市二霖街寬卷三號
帥家成二 三平 彝昆明市護國街斗笠行
宣仲良燦 束二 二黎 縣黎縣
秦開基漸 逵三 一尋 甸尋甸果馬羊街
晏家材二 二永 仁永仁縣城內
徐明棟二 三景 谷
張 浦二 五西 #
張孝域二 一昭 通
郭桂芳二 一昆 明
郭耀辰二 三昆 明
許奉先丞 良二 五鎭 南
"} {"image_path": "images/a714c1fab88332a9ec97226490c40acb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
铝片再结晶退火温度°C保温时间分测得数据变 形 程 度 %
13691215
1cm² 内的晶粒数Z
晶粒大小$\\frac{1}{Z}$
"} {"image_path": "images/db54eb406063494e44333f95ebb64b5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
開縣雲陽大寧$\\frown$包括大昌$\\smile$巫山 $~~奉$$~~節$$~~~\\frown$巴 包東 括、 巫秭 山飾 、$\\smile$萬縣
四、〇〇〇担四、〇〇〇担二、〇〇〇担二、〇〇〇担六、〇〇〇担八、〇〇〇担
約合二四〇噸約合二四〇噸約合一二〇噸約合一二〇噸約合三六〇噸約合四八〇噸
"} {"image_path": "images/8bd6915583e09bcbbb44176e79e5a7ad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\begin{array}{l}\\\\ 4315/\\\\ 4318\\end{array} $车 次站名43174316
通辽始发站长春
长春终到站通辽
11:3111:39长山屯07:5107:49
12:0112:10通 途
12:2912:36松 原07:2207:18
农 安06:1806:16
14:27——长 春05:31∧
"} {"image_path": "images/92969dbf26f85e7e7220b5463342bdb8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PopulationType of ArticleType Experiment
Deviant Controlledexperiment CasereportsTechnicalnoteExperimentalanalysisof behavior GroupComparison
Journal of AppliedBehavior Analysis,Vol. 358%82%0%14%97%3%
Behavior Therapy,Vol. 265%48%16% 4%26%74%
Behavior Therapy andExperimentalPsychiatry, Vol. 170%29%43% 2%36%64%
"} {"image_path": "images/08049ac7e0139b2a2d01b89f4df50dcc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\sigma\\left(\\mathrm{MeV} / \\mathrm{m}^{-2}\\right)$$J^{\\pi}$E (MeV)% of EWSR
1.017$2^+$3.3431.15
11.2766.15
$3^-$2.5134.5
8.13$2.75 \\times 10^{-1}$
18.1954.9
23.25$3.34\\times 10^{-1}$
24.491.68
27.996.8
$4^+$3.6434.63
11.882.05
23.8841.15
26.881.59
29.695.58
34.111.14
0$2^+$2.9632.26
11.0063.11
$3^-$036.7
8.05 $3 \\times 10^{-1}$
17.6850.36
22.75$ 6.95 \\times 10^{-1} $
23.893.31
26.826.97
$4^+$037.2
11.751.96
22.9634.98
26.58$5.2\\times 10^{-2} $
28.6110.38
33.0310.77
experiment$2^+$4.09$15^{b)}$
$10.9 \\pm 0.3$$70^{c)}$
$3^-$2.61$33^{b)}$
$17.5 \\pm 0.8$ $60 \\pm 20^{c)}$
$4^+$4.32$15^{b)}$
"} {"image_path": "images/b28164a5ad9a0b532474873a83b40127.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
拍卖时间作品名称质地形式尺寸 (CM)成交价(港元)
1991.4 松峦观瀑$40.8\\times 96.5$130000
花果草虫$27.3 \\times 356$110000
水 仙$84.5 \\times 42.2$40000
红 荷$68.2\\times 80$100000
1991.9红叶小鸟设色纸本镜片24000
吴门谪居图水墨纸本立轴35200
1993.10南湖之春镜框$94.6 \\times 65.1$103500
峨嵋顶$45\\times 42$46000
壑飞泉$89.2 \\times 41.2$63250
"} {"image_path": "images/217777b86afab7d2faefef683c68fcc7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
C. 肺炎支原体肺炎D. 干酪性肺炎E. 真菌性肺炎
吸入性肺炎最常见的病原菌是A.肺炎链球菌B.葡萄球菌C.绿脓杆菌D.大肠杆菌E.厌氧菌答案:E解析:吸入性肺炎最常见的病原菌是厌氧菌。
对 MRSA 引起的肺炎,首选抗生素是A.青霉素 GB.头孢唑啉C.苯唑西林D.万古霉素E.头孢呋辛 答案:D解析:近年来耐甲氧西林金葡菌 (MRSA) 感染已逐年上升到 20 % ~ 60 % , 并出现了耐甲氧西林表皮葡葡球菌(MRSE) 引起的严重肺部感染。 万古霉素是迄今对严重MRSA 与 MRSE 感染唯一可单独应用并能有效地控制感染的抗生素。
(1 ~ 2 题共用备选答案)A.毛细支气管炎B.腺病毒肺炎C.金黄色葡萄球菌肺炎D.肺炎链球菌肺炎E.肺炎支原体肺炎1.胸部 $X$ 线常有不同程度梗阻性肺气肿和支气管周围炎或肺不张2.胸部 X 线常见肺浸润,多发生肺脓肿、肺大泡和脓胸、脓气胸 答案:A解析:呼吸道合胞病毒肺炎有两型,其中毛细支气管炎胸部 X 线以肺间质病变为主,常有不同程度梗阻性肺气肿和支气管周围炎,有时可见小点片阴影或肺不张。答案:C解析:金黄色葡萄球菌肺炎X线摄片早期仅为肺纹理增多,一侧或两侧出现大小不等、斑片状密度增深影,边缘模糊。随着病情进展可迅速出现肺大泡、肺脓肿、胸腔积脓、气胸、脓气胸.重者可有纵隔积气、皮下积气、支气管胸膜瘘.病变持续时间较支气管肺炎为长。
(1~2 题共用备选答案)A.粉红色乳状脓性痰B.棕红色胶冻状痰C.巧克力色腥味痰D.脓性恶臭痰E.铁锈色痰1.肺炎球菌肺炎2.金黄色葡萄球菌肺炎 答案:E答案:A解析:铁锈色痤见于肺炎球菌肺炎.金黄色葡萄球菌肺炎出现粉红色乳状脓性疾,棕红色胶冻状瘒见于克雷白杆菌肺炎.D项见于肺脓肿。
女性,60岁,因慢型支气管炎继发感染住院月余,2天前高热、咳嗽加重,咳黄色脓痰,后为乳状脓血痰,伴气急、紫绀,右肩胛下散在湿啰音。白细胞 答案:C解析:老年女性,全身毒血症状严重,咳大量黄色粘稠脓痰或脓血痰,肺部湿啰音,白细胞总数明显增高,有中毒性颗粒,胸片示肺下野大片絮状浓淡不均阴影,
"} {"image_path": "images/2d109b2bb3f31924dcefc11ebbb8a3c6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
节 气观 测重 点与 未 来 天 气 的 关 系 ( 摘要 )
夏 至 夏至日东北风多洪水;东风小旱;东南风主旱;西风秋雨多,霜早。
小暑雨,七月雨水偏多。
小暑南风飘,晒死山草苗 ( 小暑日吹南风,立秋前雨水偏少 )。
大暑晴、雨 该日下雨,秋后阴雨天多。下东风雨,晚造虫害多;晴天虫少。
大暑雷鸣有秋旱。
大暑不炎热,晚造虫多。
立秋 立秋无雨一冬干,冬多籍,明春会有倒春寒。
立秋有雨,晚造雨水均匀。
立秋打雷,寒露风提前,且有秋早。
立秋日东风草木盛;南风秋早,西风大雨;北风冬多雪。
处暑 处暑若逢天下雨, 十分结实也难收 ( 烂冬 )。
处暑打雷,当年寒露风偏早。
白 露 白露白水 ( 白酒水 )是助虫,白露无水灭虫功 ( 虫少 )。白露无雨,寒露风偏迟或不大。
秋分秋分无雨冬于旱,冬至前后较寒冷。
如果此日雷鸣,烂冬。
秋分天空白云多,晚造雨水均匀,寒露风不重。
"} {"image_path": "images/ab1077b4bd785366d85c924cdd27c430.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1960年1970年1975年1976年
美國
国民收入 (亿美元 )4,5208,78013,43015.050
为1960年的%100194.2297.1333.0
制造业平均周工资(美元 )89.72133.73189.51207.6
为1960年的%100149.1211.2231.4
日本
国民收入 ( 亿日元 )141.280616.8401.333.0301.493.030
为1960年的%100436.6943.51,056.8
制造业平均周工资22.671.4163.7183.6
(千日元 )②
为1960年的%100315.9726.1812.4
法國
国民收入 ( 亿法郎 )2.7117.06312.80114.822
为1960年的%100260.5472.2546.7
制造业平均周工资( 法郎 )2.094.669.8211.11
为1960年的%100223.0469.9531.6
"} {"image_path": "images/1c5d6f358f4006c10b9a801d39572504.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
課程名稱:中文名稱: 柔道2
英文名稱: Judo training
授課年段:一下 學分總數:2
課程屬性:實作(實驗)及探索體驗
議題融入:
師資來源:校內單科
課綱核心素養:A自主行動:A1.身心素質與自我精進,A2.系統思考與問題解決,
B溝通互動:
C社會參與: C2.人際關係與團隊合作,C3.多元文化與國際理解,
學生圖像:思辨整合力,生活行動力,社會溝通力,
學習目標:1. 學會護身倒法,面對意外突發倒臥時,保護自身安全,降低傷害。2. 學會柔道技術,作為面對威脅時可以降低傷害,保護自己。
教學大綱:週次/序單元/主題內容綱要
柔道實際操作立技移動摔倒技術-1
柔道實際操作立技移動摔倒技術-2
柔道實際操作單臂過肩摔技術-1
柔道實際操作單臂過肩摔技術-2
柔道實際操作勒頸技術
柔道實際操作小內割技術-1
柔道實際操作小內割技術-2
柔道實際操作立技移動摔倒綜合應用技術-1
柔道實際操作立技移動摔倒綜合應用技術 -2/審技關節技術-1
+柔道實際操作縦技關節技術-1
十一柔道實際操作寢技關節技術-2
十二柔道實際操作立技聯絡寢技技術-1
十三柔道實際操作立技聯絡䙅技技術-2
十四柔道實際操作寝技勒頸技術-1
十五柔道實際操作寢技勒頸技術-2
十六柔道實際操作寢技綜合應用技術-1
十七柔道實際操作寢技綜合應用技術-2
十八模擬競賽實際操作模擬競賽-1
十九模擬競賽實際操作模擬競賽-2
二十模擬競賽實際操作模擬競賽-3
二十一
二十二
學習評量 : 觀察 ■ 演練 ■ 實作(驗) 學生自評成果展演 作業或學習單 報告 影音紀錄專題 創意作品 文獻閱讀心得 線上閱讀測驗口試 學生回饋問卷 學習歷程檔案 校內外師長意見調查 其他:成績計算 :1.綜合應用技術實作評量40%2.學習態度60%
備註:教學設備:1.體適能教室 2.柔道場 3.重量訓練器材教材及參考書目 :1.柔道 2.運動訓練法 3.運動生理學 4.運動營養學
"} {"image_path": "images/bda4e4938d25202248808b9da4d477cd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国 别中 国日 本 韩 国原 苏 联法 国挪 威
五·四制六·三制台 湾
课时与百分比课时%课时%课时%课时%课时%课时%课时%课时%
语、数、外、社会、自然17873.5517171.8520877.0315869.0018068.9616971.3117072.0315272.38
劳 技114.55104.20228.1510.54.5983.07187.59114.6673.33
体 艺5321.905723.954014.8260.526.427327.975021.095523.315124.28
合 计242100238100270100229100.0126110023799.9923610021099.99
"} {"image_path": "images/1dd71bbcad0737b0262731555bb33b3f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
前三四〇前三四一前三五〇前三五一前三五三前三五四前三五九前三七二西懸紀年
顯王二九顯王二八顯王一九顯王一八顯王一六顯王一五顯王一一顯王一〇烈王四周王
三三三二二三二二二〇一九一四孟子
秦封鞅寫商君魏徙都大梁馬魏陵復殺伐其邯將鄲龐齊涓救虜邯太鄲子伐申魏敗魏於秦徙都咸陽初廢井田鄭以申不害為相齊用孫臏策伐魏救趙敗魏桂陵秦取魏少梁魏伐趙圍邯鄲秦以衛鞅為左庶長定變法之令列國記事
學於魯四月二日生孟子
前三五八一五
"} {"image_path": "images/f340c031b3b7437ebbe8b10ba454da54.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n123456$\\dots$n
$S_n$1514$\\dots$
$T_n$136$\\dots$
$S_n$$\\frac{1}{1}$$\\frac{5}{3}$$\\frac{14}{6}$$\\dots$
$T_n$$\\frac{3}{3}$$\\frac{5}{3}$
"} {"image_path": "images/0b63d038b418c0d10c8dbdd8a3adac5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
主要旅游景点公 共 汽 (电) 车 车 次电 话
八一起义纪念馆2路 市区内外环行 (电车)6103669
7路 省二医院一八一商场8332511
18路 火车站一八一商场8504311
八大山人纪念馆20路 塘子河-八大山人8623247
3路 老福山-莲塘6107560
115路 洪城大市场-邓埠村6501924
滕王阁20路 塘子河一八大山人8623247
8路 塘山一朝阳农场8623247
梅岭112路 体育馆-梅岭 (太平)6263826
140路 八一桥一梅岭脚6809823
西山万寿宫117路 八一桥-西山6803424
溪霞141路 八一桥一溪霞6809823
象山森林公园131路 八一桥一象山6809823
青山湖游乐场16路 洪城大道环行8332511
八一公园2路 市区内外环行 (电车)6103669
7路 省二医院一八一商场8332511
807路 火车站-朝阳小区6284944
人民公园7路 省二医院一八一商场8332511
11路 城东环行8332511
佑民寺807路 火车站-朝阳小区6284944
京东水上乐园802路 火车站-京东乐园6284944
梦山143路 八一桥一梦山6303424
绳金塔5路, 21路
西山万寿宫117路 乘车地点: 八一桥
湾里度假村112路, 19路 乘车地点: 省体育馆
"} {"image_path": "images/1e37c9753a79dbf3e523854474a985e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目炉 型备 注
推钢式步进梁式
炉子长度受限制不受限制同一加热曲线
产量调整较困难容易
加热速度控制困难容易
炉宽方向温度均匀性控制容易较端烧嘴困难
坏料温度差(黑印)
坯料底面擦伤
氧化铁皮损失
单位热耗100%110%
冷却水消耗
电力消耗
倒回输料不可能可能
炉内坯料间隔可调整
坯料型状尺寸改变受限制不受限制
氧化铁皮渣清除均热段困难
炉底管及隔热层寿命
转动润滑部分
炉子基础深度H $H+1\\sim 1.5m$
"} {"image_path": "images/c8aa2f9d4db82ba944a22e1927821f22.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
為美金債券算流年章乃器1947.4.20. 時代文摘(成都)1:12四川圖
从搶米看經濟崩潰章乃器1947.5.17. 現代新聞(上海)1:2中宣部、四川圖
對改革币制的看法章乃器1947.7. 現代文摘(重庆)3四川圖
政治支配經濟,改善經濟必須从政治做起章乃器等1947.10.4. 經濟評論(上海)2:1四川圖
决沒有政治紊乱軍事粉擾而政治能穩定的章乃器1947.10.4. 經濟評論(上海)2:1中宣部、北京圗、四川圗
1948年經濟展望章乃器1948.1.1. 經濟導報(香港)51四川圖
做事與讀書章乃器1948.9.25. 展望(南京)2:19展望(南京)2:19四川圖
千古奇冤話(奸商)章乃器1948.10.19. 經濟導報(香港)93四川圖
論目前經濟形勢章乃器1948.11.23. 經濟導報(香港)98四川圖
如何收拾金园及建設新币章乃器1948.12.7. 經濟導報(香港)100經濟導報(香港)100歷史三所四川國
由平時財政說到戰時財政章乃器新青年與人生(諶家桂編,1939 ,博文書店)中宣部
新中國的誕生章乃器新青年與人生(同上)中宣部
新的民族敵人章乃器新青年與人生(同上)中宣部
日本對華外交之現勢章乃器機聯會刋四川大學
國際貨币戰爭的剖視章乃器外交評論 7 周年紀念特大號 四川圖
沈鈞儒等七人擁護蔣委員長主張1937.7.28. 新聞夜報(成都)四川圖
章乃器先生會見記1937.12.15. 新民報(成都)四川圖
在香港文人大會萃,章乃器講抗戰前途1938.1.3. 新民日報(成都)四川圖
開放外匯與民族工業——康心如章乃器兩先生談1946.3.6.. 民主報(重慶)四川圖
章乃器先生意見:政治協商會議決議真正符合國父遺敎1946.3.14. 民主報(重慶)民主報(重慶)四川圖
章乃器談物价在真正民主制度之下,金融與物价始可穩定1946.5.16. 工商導報(成都)工商導報(成都)四川團
"} {"image_path": "images/a02b73eea75a870de5b64f0f3f6ee4d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
# #是学的2000年前的我啦。#听说现代也很流行轻薄透视纱装,哼,都了$\\vdots$$\\vdots$我的主人辛追夫人的有钱任性。平,代表了当时最前列的审美潮流,代表衣,我代表了当时先进生产力的发展水作为凝聚了古代最高端纺织技术的超薄纱文物有话说####
"} {"image_path": "images/c578cec864603954b7b0c0e2d0fad2ba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目符 号单 位测 试 条 件参 数 规 范
极限参数最 高 电 源 电 压$V_{c~cmax}$V15
最大耗散功率$P_{dmax}$mW100
工 作 温 度T。$ -20\\sim+80 $
环 境 温 度$T_s$$ -40\\sim+125 $
推荐工作条件电 源 电 压$V_{cc}$V9
负载阻抗$R_L$10
电参数$T_{\\mathrm{a}}=25^{\\circ} \\mathrm{C} \\quad V_{\\mathrm{cc}}=9 \\mathrm{~V} \\quad R_{\\mathrm{L}}=10 \\mathrm{k} \\Omega \\quad R_{g}=600 \\Omega \\quad f=1 \\mathrm{kHz}$最小标准最大
静 态 电 流$I_{cc}$mA一个通道1.3
电 压 增 益$V_o$dB开 环7580
闭 环434547
输 出 电 压$V_o$VTHD $=1 \\% \\quad \\therefore$1.01.5
失 真 度 THD%$V_{o}=0.5 \\mathrm{~V}$0.1
输入电阻$R_i$80
转换至输入的噪声电压$V_{NI}$μV$R_{\\mathrm{g}}=20 \\mathrm{k} \\Omega$2.53.5
串 音dB$V_o$=1V-70
增 益 差dB在两通道之间0.5
"} {"image_path": "images/97ab45192bf114c94c2c5f29a4bbb5fc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Compound$20 \\%~\\mathrm{Na}_{3} \\mathrm{PO}_{4}-$alumina$20 \\% ~\\mathrm{Na}_{2} \\mathrm{PO}_{4}-$alumina Graphitizedcarbon
$V_s~^T,$$V_s~^T,$$V_s~^T,$
$\\mathrm{ml} / \\mathrm{meter}^{2}$$V_{rel}$$\\mathrm{ml} / \\mathrm{meter}^{2}$$V_{rel}$$\\mathrm{ml} / \\mathrm{meter}^{2}$$V_{rel}$
Hexane0.02191.000.03451.000.1801.00
Cyclohexane0.01980.900.03130.900.0700.39
Cyclohexene0.03581.640.05201.51......
Benzene0.07803.560.1133.280.1200.67
"} {"image_path": "images/a9d04af1f6f08150e3e5be76a2fd5119.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
角鋼号数尺 寸 (毫米)截面面积$~(厘米^{2})$理論重量(公斤/米)外表面积$(米^{2}/米)$
bdr
4.040352.3591.8520.157
43.0862.4220.157
53.7912.9760.156
4.545352.6592.0880.177
43.4862.7360.177
54.2923.3690.176
65.0763.9850.176
5.05035.52.9712.3320.197
43.8973.0590.197
54.8033.7700.196
65.6884.4650.196
5.65636.03.3432.6240.221
44.3903.4460.220
55.4154.2510.220
88.3676.5680.219
6.363474.9783.9070.248
56.1434.8220.248
67.2885.7210.247
89.5157.4690.247
1011.6579.1510.246
7 70485.5704.3720.275
56.8755.3970.275
68.1606.4060.275
79.4247.3980.275
810.6678.3730.274
"} {"image_path": "images/028f90d099b452b5075f4751dcde89d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
鄂 序 号124512461247124812491250
定 额 编 号3-4213-4223-4233-4243-4253-426
项 目单位单 价(元)抱 鼓 (高 在)望 板 (高 在)
55厘米以内(块)65厘米以内(块)85厘米以内(块)100厘米以内(根)120厘米以内(根)150厘米以内(根)
基 价16.1121.5528.5513.2015.5818.88
其中人 工 费8.9412.1216.566.547.569.12
材 料 费4.425.706.894.655.696.95
机 械 费2.753.735.102.012.332.81
人工基本工工日-1.221.642.220.901.041.28
其他工\"-0.270.380.540.190.220.20
合 计\"6.001.492.022.761.091.261.52
材料素水泥浆立方米244.040.0020.0020.0020.0010.0010.001
白水泥浆千克0.460.200.200.201.501.501.50
\"0.226.107.808.505.006.709.50
其他材料费1.002.503.404.442,623.283.93
"} {"image_path": "images/796a5a8f71508a817916e51916a0225c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1517
"} {"image_path": "images/8234c5e8c0ce431e522485ce5b962e68.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AutoLineReducmaParent
Bitmap[None]
BreakmbNone
Caption&S系统
CheckedFalse
DefaultFalse
EnabledTrue
"} {"image_path": "images/636d8a741d773ffe3cf529d5c5586fac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
牌号化 学 成 份(%)粒 度目硬 度 使用工艺条件适用范围生 产 厂
FeNiCrBSiC其它
粉302余量30544-150HRC55喷焊 耐磨, 用于轴类、密封环 上海有色金属焊接材料厂
粉305粉302 + 25%WC-150HRC55喷焊 耐磨性好,用于犁、耙、铲
轨铁粉余量3051.53-150HRC28喷焊 抗疫劣好,用于钢轨
粉313余量151.5$ \\begin{matrix} - 1 5 0 \\sim \\\\ + 3 0 0 \\end{matrix} $HB250喷涂 耐磨性较好,用于轴类
粉314余量181.5$-150 \\sim$ $+300$HB250喷涂 耐磨性较好,用于轴类
粉316余量151.52$ \\begin{array}{l}-150 \\sim \\\\ +300\\end{array} $HB400喷涂 耐磨性好,用于滚筒
Fe03余量28~324~62~33~40.4~0.6HRC38~42喷焊 用于钢轨接头, 模具, 农机场磨损件 浙江省冶金所
"} {"image_path": "images/691356f63b5ddad76acee66b8756d7e1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
跟氢或金属结合的原子团金 属
$\\mathrm{H}^\\mathrm{I}$$\\mathrm{K}^\\mathrm{I}$$\\mathrm{Na}^\\mathrm{I}$$\\mathrm{Ba}^\\mathrm{II}$$\\mathrm{Ca}^\\mathrm{II}$$\\mathrm{Mg}^\\mathrm{II}$$\\mathrm{Al}^\\mathrm{III}$$\\mathrm{Mn}^\\mathrm{II}$$\\mathrm{Zn}^\\mathrm{II}$$\\mathrm{Cr}^\\mathrm{III}$$\\mathrm{Fe}^\\mathrm{II}$$\\mathrm{Fe}^\\mathrm{III}$$\\mathrm{Sn}^\\mathrm{II}$$\\mathrm{Pb}^\\mathrm{II}$$\\mathrm{Bi}^\\mathrm{III}$$\\mathrm{Cu}^\\mathrm{II}$$\\mathrm{Hg}^\\mathrm{I}$$\\mathrm{Hg}^\\mathrm{II}$$\\mathrm{Ag}^\\mathrm{I}$
氢氧根$\\mathrm{OH}^\\mathrm{I}$
酸根$\\mathrm{NO}^\\mathrm{I}_3$溶、挥
$\\mathrm{Cl}^\\mathrm{I}$溶、挥
$\\mathrm{SO}^\\mathrm{II}_4$
$\\mathrm{S}^\\mathrm{II}$溶、挥
$\\mathrm{SO}^\\mathrm{II}_3$溶、挥
$\\mathrm{CO}^\\mathrm{II}_3$溶、挥
$\\mathrm{SiO}^\\mathrm{II}_3$
$\\mathrm{PO}^\\mathrm{III}_4$
"} {"image_path": "images/c9f7b549287c686c2a29e84add87fb4c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\begin{gathered} \\text { Young }(18-34) \\\\ (N=846) \\end{gathered} $$ \\begin{gathered} \\text { Middle-Aged }(35-54) \\\\ (N=646) \\end{gathered} $$ \\begin{gathered} \\text { Older }(55+) \\\\ (N=564) \\end{gathered} $
PredictorEtaBetaPredictorEtaBetaPredictorEtaBeta
Marital status.15$^{\\ast}$.13Empl. status.19$^{\\ast}$.15Age.20$^{\\ast}$.21
Education.10$^{\\ast}$.09Marital status.20$^{\\ast}$.13Marital status.20$^{\\ast}$.18
Age.08.09Urban/rural.14$^{\\ast}$.10Region.16$^{\\ast}$.15
Region.11 .09Region.11$^{\\ast}$.09Income.07.10
Income.10.06Income.16$^{\\ast}$.09Education.10.06
Urban/rural.07 .06Education.04.07Gender.03.04
Empl. status.04.01Age.07.07Urban/rural.06.01
Gender.01 .007Gender.07.02Empl. status.08.003
$ \\begin{array}{l}\\mathrm{R}(\\mathrm{adj.})=.17\\\\ \\mathrm{F}(21,824)=2.25,\\mathrm{p}<.05\\end{array} $$ \\begin{array}{l}\\mathrm{R}(\\mathrm{adj}).=.26\\\\ \\mathrm{F}(21,624)=3.01,\\mathrm{p}<.01\\end{array} $$ \\begin{array}{l}R(\\text { adj. })=.27 \\\\ F(21,542)=3.10, p<.01\\end{array} $
"} {"image_path": "images/972aa6a671b86d8019a4f4895cb22994.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Annual Office Supply Volume of DealeraAll dealerssurveyed
Under$50,000$ 50,000 to$ 100,000$100,000 to$ 250,000$250,000 to$500,000$ 500.000 to$ I Million Over$ I Million
0-10%28.1% 28.3% 42.6%47.1% 57.1% 53.3%38.2%
10-20%17.5%20.8%16.2%20.6%2l.4%26.7%19.1%
20-30%15.8%15.1%20.6%14.7%14.3%-15.8%
30-40%3.5%5.7%5.9%5.9%7.2%6.7%5.4%
40-50%12.3%3.8%5.9%8.8%--6.6%
$ 50-60\\% $1.8%3.8%1.5%-- 6.6%2.1%
60-70%3.5%7.5%2.9%2.9%--3.7%
70-80%3.5%7.5%2.9%---3.3%
80-90%3.5%-----.8%
90-100%10.5%3.8%----3.3%
(Blank)-3.7%1.5%--6.7%1.7%
"} {"image_path": "images/33c92f927730f71960cf560c10a7c69f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
谓语补语附加语
剩余部分
"} {"image_path": "images/09fada4b0a0e28184213e6e8b012a987.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0-4 YEARS5-15 YEARS16-29 YEARS30-49 YEARS50-69 YEARS70 YEARS AND OVER
CAUSE NO.OFCASES PER-CENT-AGECAUSE NO.OFCASES PER-CENT-AGECAUSE NO.OFCASES PER-CENT-AGE CAUSE NO.OFCASES PER-CENT-AGECAUSE NO.OFCASES PER-CENT-AGECAUSE NO.OFCASES PER-CENT-AGE
Congenital,etc. ...10239·23EndogenousInfections11857·56EndogenousInfections11744·31EndogenousInfections31442·95Congenital,etc. ...84862·68Congenital,etc. ...29576·03
ExogenousInfections8030·70Injury ...2713·17Congenital,etc. ...7528·41Congenital,etc. ... 26235·84EndogenousInfections26419·51EndogenousInfections379·54
ExogenousInfections6525·00Congenital,etc. ...2512·19Injury ...4617·42Injury ...7710·53GeneralDiseases1218·94GeneralDiseases359·02.
GeneralDiseases62·30GeneralDiseases157·32GeneralDiseases186·81GeneralDiseases405-47ExogenousInfections584·29ExogenousInfections164·12
Injury ...51·92ExogenousInfections136·34ExogenousInfections83·03ExogenousInfections344·65Injury ...533·92Injury ...51·29
NotClassified20·76NotClassified73·41NotClassified--NotClassified40·55Others ...90·66Others ...-1
Total ...260100·00Total ...205100·00Total ……264100·00Total ...731100·00Total1,353100·00Total ...388100·00
"} {"image_path": "images/95b9b86aecc38322fdc586e3323ba2e6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
评估方法能力心理测评角色扮演文件筐测验无领导小组小组任务结构化面试案例分析撰写报告演讲辩论
能力A[hy:图片]
能力B[hy:图片][hy:图片]
能力C
能力D[hy:图片][hy:图片][hy:图片]
⋯⋯[hy:图片][hy:图片]
"} {"image_path": "images/5fd05349c0dc287d11a8577c6d7eb43b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
因变量 CCR 效率值因变量 BCC 效率值因变量 FDH 效率值
Constant1. $08462^{~* * *}$0.331520.57777
(3.71)(0.63)(0.62)
滞后加权征管效率L. Weff$0. 56025^{~* * *}$$0. 80531^{~* * *}$$0. 60449^{~* * *}$
(4.44)(5.15)(2.94)
税收分权taxdec-0. $00567^{~* * *}$-0. $00664^{~* * *}$-0. $00584^{~* * *}$
(-7.42)(-5.04)(-3.06)
L 人口税务人员比Lpopstaff-0.010580.032260.07482
(-0.32)(0.53)(0.77)
就业比employ0.00113$0. 00328^{~* *}$$0. 00956^{~* * *}$
(1.36)(2.35)(4.67)
城镇化city$0. 00189^{~* *}$$0. 00452^{~** *}$$0. 01133^{~* * *}$
(2.35)(3.37)(5.37)
L 人均实际 GDPLprgdp-0. $11493^{~* * *}$ -0.$08087^{~* *} $-0.$19485^{~* * *} $
(-5.69)(-2.29)(-3.01)
每万人公路里程proad-0.00073 -0.$00181^{ *} $ -0.$00366^{~* *} $
(-1.34)(-1.80)(-2.02)
"} {"image_path": "images/9070444a47946f56ca82d2a2109954ec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
北 齐梁 · 陈隋文帝隋炀帝
尚书都事都令史八人,从八品均置都令史五人,八品梁后又为二班改为都事,八人,从八品都事六人,分隶六尚书,正八品
门下录事四人,从八品未见六人,从八品六人,正八品
内史主书十人,正八品梁、陈均置,陈十人十人,从八品六人,正八品
主事尚书二十八曹中,八曹置主事未见开皇十四年,诸省各置主事令史员, 正九品诸司主事并去令史之名,每十令史置一主事,不满十者亦置一人。正九品
门下主事令史八人,从八品上均置主事令史,梁为三品勋位
内史梁:二人,八品陈:尤
令史尚书三省均置,人数及品位梁、陈均置。梁一百二十人其革选卑降,始自乎隋
门下不详梁、陈均置,九品至开皇初,始降为流外行署
内史梁:八人,九品陈:无至开皇初,始降为流外行署
书令史尚书三省均置,人数及品位不详梁:一百三十人
门下粱、陈均置
内史梁:十二人,九品
"} {"image_path": "images/06ac16d7efb92fe7ae7617da2e925b34.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
自 然 界五 行及其属性人 体
五色五味五气五时五化五方五季五脏五腑五体五官五神五志
平旦木(生发舒展)魂怒
日中火(温热炎上)小肠
湿日西长夏土(长养变化)
合夜西金(清肃收敛)大 肠皮毛
夜半藏北水(寒湿下行)膀胱
"} {"image_path": "images/55894a105269f40249c7c71b93fd3f52.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省立警官學校 1所
警官學校附設警士教練所 1所
省警特務隊 891人
陸警公安局 77所
公安分局 201所
警额 9.664人
警察補習所 170所
水警内河巡艦 5隻
巡船 264隻
警额 2.334人
外海巡艦 6隻
警额 1.171人
"} {"image_path": "images/fa96dd52d6f51f4f437d016ec601a4b4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料牌号及热处理毛坯直径(mm)HBS$σ_b$$σ_s$σ-$_1$$τ-_1$$[σ-_1]$备注
MPa
$20 Cr$ 渗碳、淬火、回火≤ 60渗碳 56~ 62HRC64039030516060 要求强度和韧性均较高的轴
$3\\mathrm{Cr} 13$ 调质≤ 100≥ 24183563539523075用于腐蚀条件
1Cr18Ni9Ti淬 火≤ 100≤ 19253019519011545 用于高、低温及腐蚀条件下的轴
$>100 \\sim 200$490180110
QT600 ~ 3$ 190\\sim 270 $600370215185 用于制造复杂外形的轴
QT800 ~ 2$245 \\sim 335$800480290250
"} {"image_path": "images/1342a22110d588aeaf381e11bb9890d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
房 号数 量
报纸名称
"} {"image_path": "images/f2435334aea97567b89463f72cbab33c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
滑 动 率1.53.05.0滑 动 率
主马达(rpm)刻印$(\\phi d)$177317461710主马达(rpm)刻印$(\\phi d)$
59436429420107
61451444435109
63465458449111
65480473463113
67495487477115
69510502492117
71525517506119
73539531520121
"} {"image_path": "images/c5c96f41f3cbc869e7249502f076329d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
美国(1969年)日本(1969年)美国(1983年)日本(1983年)
金额%金 额%金额%金 额%
A. 劳动密集型低技术部门30.517.516.821.474.37.7120.815.9
食品,饮料4.52.61.52.530.33.17.61.0
纺织1.71.04.57.42.10.231.84.2
服装0.90.52.84.63.70.47.41.0
木、竹、藤器0.20.10.2 0.40.80.14.60.6
皮革、毛皮及制品0.40.20.30.50.90.10.80.1
橡胶、塑料1.71.04.30.724.42.537.44.9
其他21.112.13.25.312.11.331.24.1
B. 劳动密集型高技术部门89.951.721.034.6601.659.0459.760.5
机械设备2.91.73.15.150.35.2186.224.5
电子电器机械87 050.017.929.5551.356.8273.536.0
C. 资本密集型低技术部门6.43.77.712.789.49.2103.213.5
纸及其制品0.3 0.20.91.512.01.21.80.2
非金属矿物及其制品0.30.22.23.66.40.715.52.0
基本金属5.83.34.67.671.07.385.911.3
D. 资本密集型高技术部门47.627.315.225.1205.521.275.10.9
化学47.647.6 47.627.315.225.1205.521.275.19.9
合 计174.4100.060.8100.0970.8100.0758.8100.0
"} {"image_path": "images/eb5b8657f6bb878c81703d7a681d8463.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TITLEDATE OFACTION RATINGWITHDRAWN
Ziff-Davis, Inc.
sr sub nt 8.50 05/01/20086/16B2
"} {"image_path": "images/b948353ffae81fa43491e23e5ba2c2f6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编号学生姓名奖级比赛或评选评选单位
24邵彬哲三等奖2004全国中学生化学竞赛(浙江)省化学学会
25何斌棋二等奖2004全国高中数学联合竞赛(省级)省数学学会
26姚威威二等奖
27邹海波二等奖
28杨少飞三等奖第五届中学生语文阅读竞赛省中语会
29王国才二等奖浙江省中学生物理竞赛省物理学会
30毛葛永三等奖
31屠剑锋二等奖全国青少年信息学奥林匹克联赛全国青少年信息学奥林匹克联赛浙江赛区办公室
32赵 菁优秀奖全国青少年春蕾杯征文(全国)中央教科所
33俞鑫钢二等奖浙江省高中学生化学竞赛省化学学会
34王国才一等奖浙江省中学生物理竞赛省物理学会
35俞鑫钢二等奖
36许淇锋二等奖
37石宇立三等奖
38林石裕三等奖
39俞凯恺三等奖
40傅彩霞二等奖全国高中数学联赛省数学学会
41俞鑫钢三等奖
42宣能功一等奖浙江省高中生化学竞赛(团体优胜)省化学学会
43应伟飞一等奖
44俞杰娜一等奖
45徐 捷周秋男二等奖浙江省青少年科技创新大赛省科协、省教育厅等
46陈正旭二等奖浙江省征文赛《穿越时空的祭奠》省委宣传部、省教育厅等
47潘 伟二等奖浙江省征文赛《大地星光》
"} {"image_path": "images/207a456dd5fcff537fd9521de3a6a84e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
郑加伟涟水县供电局赵建江盱眙县观音寺镇顺河居委会
薛玉书涟水县人民医院邹正科盱眙县仇集镇霖治村
程洪才江苏今世缘酒业有限公司孙大友盱眙县县乡道路指挥部办公室
李士雄涟水县磷肥厂张爱平(女)盱眙县实验小学
潘维忠涟水县烟草公司陈思宁盱眙县马坝中学
左观亚涟水县建安总公司何友才盱眙县明祖陵镇人民政府
张金山涟水县地税局赵长富盱眙县马坝镇高桥粮管所
沈秀清涟水县郑梁梅高级中学付祥忠盱眙县铁佛镇人大
陈 印涟水县交通局雍 梅(女)盱眙县河桥镇人民政府
杨万如中共涟水县纪委杜洪海盱眙县水利建筑安装公司
共泽县夏文标江苏淮化集团有限公司
王友德洪泽县共和镇新集村黄庄组刘德仁盱眙县建设局规划办
刘卉洪泽县万集镇万集居委会朱厚林盱眙县供电公司
李 军洪泽县黄集镇玉河村刘艾元江苏狼山水泥有限公司
陈文龙洪泽县岔河镇岔河村郝增明江苏狼山水泥集团一分厂
顾社宝洪泽县老子山镇长山村张玉鹏盱眙县鹏胜采石有限公司
陈学华洪泽县高良涧镇第六社区欧长代盱眙县人民医院
张正权洪泽县仁和镇乾宁村陈大平盱眙县海事处
孙广萍(女)洪泽县西顺河镇张福河村陈守荣(女)盱眙县人事局
邓德旭洪泽县宏大床上用品厂谢晓明盱眙县人民检察院
孙玉成洪泽县三新建材有限公司金湖县
李加贵洪泽县贵平包装有限公司何如香(女)金湖县黎城镇九里村
谢殿友洪泽县朱坝镇中学吴金明金湖县星晨化仪综合厂
张雨生洪泽县东双沟中心小学李殿金金湖县银集镇新胜村
顾晓明洪泽县国税局高良涧镇征收分局高式岚金湖县涂沟镇于沟村
李守成洪泽县蒋坝镇省三河闸管理处刘 梅(女)金湖县吕良镇赤水村
刘士杰江苏爱吉斯海珠机械有限公司涂维善宝应湖农场施沟大队
周荣贵洪泽县供电局刘福波金湖县玻璃仪器厂
张小海洪泽县人民银行唐锡华金湖县前锋镇淮村村
卜开初洪泽县人民医院何学明江苏爱特福药物保健品有限公司
邵永军洪泽县建设局规划办公室陆和明金湖县金南镇中心学校
刘泽敏江苏南风元明粉有限责任公司沈佑成金湖县陈桥镇财政所
李友余洪泽东盾人造板有限公司丁桂林金湖县闵桥镇政府
袁守义洪泽县第二中学刘广荣金湖县金南镇水产林桑站
杨福宝洪泽县公安局刑警大队谢永生金湖县涂沟镇
薛珍云(女)洪泽县海事处万寿荣金湖县塔集镇
高德甫洪泽县地税局叶道勤金湖县金北镇
盱眙县汤瑞华金湖县铸锻有限公司
刘 峰盱眙县王店乡范墩村赵 超金湖县输油泵有限公司
张信芳盱眙县火鸡良种场杨 境金湖县建筑工程公司
李德萍(女)盱眙县马坝镇黑泥村赵亚芳(女)金湖县邮政局
项永祥江苏三特米业有限公司邓学凤金湖石油机械有限公司
朱洪波盱眙县旧铺镇时集村伍光银金湖县电信局
杨 浩盱眙县明华贸易有限公司朱庆庚金湖县汽车零部件有限责任公司
钟义海盱眙县马坝镇大众村倪言珠金湖县广播电视局
倪新民盱眙县铁佛镇召六村聂杭军中共金湖县委组织部
张 伟盱眙县巨伟塑料机械厂赵伟光金湖县供电局
"} {"image_path": "images/0ab96aef51c91219ffe8ac1520d3884a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
观测次序观测值/m$\\Delta$/mm$\\Delta \\Delta$计算
1 49.988+4 16$m= \\pm \\sqrt{\\frac{[\\Delta \\Delta]}{n}}$$= \\pm \\sqrt{\\frac{151}{6}}$$= \\pm 5.02 \\mathrm{~mm}$
249.975-981
349.981-39
449.978-636
549.987+39
649.98400
151
"} {"image_path": "images/7772a61c8c1b8dd7ac33b8ac8831cd3c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型号外形尺寸(mm)重量(kg)
dDB
NN3068K/P5340520133101
NN3068340520133104
NN3068/P5340520133104
NN3072K360540134106
NN3072K/P6360540134106
NN3072K/P5360540134106
NN3072K/YA1360540134105
NN3072K/P5YA1360540134105
NN3072360540134110
NN3072/YA1360540134110
NN3076K380560135110
NN3076K/P6380560135110
NN3076K/P5380560135110
NN3076K/P5YA1380560135110
NN3076380560135114
NN3076/P5380560135110
NN3080K/P540060014888.8
NN3080400600148147
NN3080/P5400600148147
NN3080/YA1400600148146
NN3092K460680163204
NN3092K/P6460680163204
NN3092K/P5460680163204
NN3092K/P5YA1460680163204
NN3092K460680163204
NN3092/P5460680163204
NN3092K/YA1460680163203
NN3096K/P5480700165207
NN30/560/P52560820195341
NN30/560/P59560820195341
NN6/560KF1560820195314
NN6/560KF1/P5560820195341
NN30/560KF1/W33560820195336
NN30/670K/P5670980230597
NN30/670KF1670980230597
"} {"image_path": "images/fa5e1438f5bef434671b521df7e6f186.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
病 原 体抗菌力病 原 体抗菌力参考文献
金黄色葡萄球菌+猪霍乱杆菌-〔3,57,100〕
表皮葡萄球菌-肠炎杆菌-
溶血链球菌+福氏痢疾杆菌-
绿色链球菌-宋内氏痢疾杆菌-
卡他球菌-百日咳杆菌++
大肠杆菌+白喉杆菌+
绿脓杆菌-人型结核杆菌-
许兰氏毛菌-石膏样小孢子菌-[11、16]
许氏毛菌蒙古变种-犬小孢子菌-
堇色毛菌-奥杜盎氏小孢子菌-
须癣毛菌-絮状表皮癣菌-
同心性毛菌-白色念珠菌-
铁锈色毛菌-紧密着色芽生菌-
石膏样毛菌-星形奴卡氏菌+
红色毛菌-
"} {"image_path": "images/d59fa0656b7717641b64efd2ec91e48e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
顺序 年级每周教学时数科目初 中高 中总时数全学年体力劳动及参观天数
一年级二年级三年级一年级二年级三年级每周每年
1语 文766555341146
2数 学665666351178
3历 史32222213438
4社会主义教育22222212404
5地 理22239306
6生 物332311374
7物 理3223414468
8化 学322310334
9生 产 劳 动22222212404
10外 国 语54413434
11体 育22222212404
12音 乐1113102
13图 画1113102
14体 力 劳 动14-28
15参 观6
总 计293030313130181609420-34
备注(一)每学年上课周数初中各年级及高中一、二年级各34周,高中三年级32周。(二)初、高中各年级每学年均有14—28天的体力劳动时间;初中各年级及高中一、二年级每学年均有6天的参观时间。(三)社会主义教育课的时间,初高中各年级每周课内外一般为2-6小时(包括讲授、报告、讨论、辩论等)。
"} {"image_path": "images/501533f75cbe8aa202acb0d96acf9dae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
试剂名称样品编号清洗方法浓度PH 值效果
EDTAEDTA +$\\mathrm{NaHCO}_{3}$E01涂刷10%7.5刷 6 小时、效果明显
EDTAE11纸糨糊敷10%69小时效果明显
EDTAE123%618 小时效果明显
$(\\mathrm{NaPO}_{3})_{6}$ P01纸糨糊敷10%6敷40小时效果明显
P03涂刷6%7刷9小时、效果明显
NTAN09纸糨糊敷5%78小时清洗效果明显
N064%810小时效果明显
N05涂 刷3%7.5反应较慢,去除甚微
NO25%6.56小时后完全去除
NNCM01纸糨糊敷7%75小时效果明显
M035%76小时效果明显
M042.5%714小时效果明显
M07涂 刷5%7刷5小时效果明显
M093%7.5反应较慢,去除甚微
M122.5%7.5反应较慢,去除甚微
"} {"image_path": "images/e9b2d1624710666e1edd2180c8e43b49.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
N1N1ltN1. 2lt如果 $\\Delta f$ 是 $\\mathrm{Z}$ 并且 $\\mathrm{Niv}_{\\text {stock_ } \\mathrm{lt}_{-} \\mathrm{pu}}$ 是 $\\mathrm{B}$ 并且 $\\Delta P_{\\mathrm{pu}}$ 是 $\\mathrm{Z}$, 则 $\\beta_{\\text {ref_ } \\mathrm{pu}}$ 是 $\\mathrm{Z}$
如果 $\\Delta f$ 是 $\\mathrm{Z}$ 并且 $\\mathrm{Niv}_{\\text {stock_ l_ pu }}$ 是 $\\mathrm{B}$ 并且 $\\Delta P_{\\mathrm{pu}}$ 是 $\\mathrm{NZ}$, 则 $\\beta_{\\text {ref_ pu }}$ 是 $\\mathrm{Z}$
如果 $\\Delta f$ 是 $\\mathrm{Z}$ 并且 $\\mathrm{Niv}_{\\text {stock_ it_ Pu }}$ 是 $\\mathrm{B}$ 并且 $\\Delta P_{\\mathrm{pu}}$ 是 PM,则 $\\beta_{\\text {ref_ Pu }}$ 是 $\\mathrm{M}$
如果 $\\Delta f$ 是 Z 并且 $\\mathrm{Niv}_{\\text {stock_ h_ pu }}$ 是 B 并且 $\\Delta P_{\\mathrm{pu}}$ 是 $\\mathrm{PB}$, 则 $\\beta_{\\mathrm{ref}}$ 是 $\\mathrm{B}$
如果 $\\Delta f$ 是Z并且 $N iv_{\\text{stock}_\\text{_ lt_ pu}}$ 是B,则 $P_{\\text{ref}_\\text{SP_ pu}}$ 是Z
如果 $\\Delta f$ 是 $\\mathrm{Z}$ 并且 $\\mathrm{Niv}_{\\text {stock_ lt_ pu }}$ 是 $\\mathrm{B}$ , 则 $\\mathrm{P}_{\\text {ref_ stock_ lt_ pu }}$是NM
N1. 3lt如果 $\\Delta f$ 是 $\\mathrm{Z}$ 并且 $\\mathrm{Niv}_{\\text {stock_ lt_ pu }}$ 是 $\\mathrm{S}$ 并且 $\\Delta P_{\\text {pu }}$ 是 $\\mathrm{NB}$, 则 $P_{\\text {ref_ SP_ pu }}$ 是 $\\mathrm{B}$
如果 $\\Delta f$ 是 $\\mathrm{Z}$ 并且 $\\mathrm{Niv}_{\\text {stock_ lt_ pu }}$ 是 $\\mathrm{S}$ 并且 $\\Delta P_{\\text {pu }}$ 是 $\\mathrm{NM}$, 则 $P_{\\text {ref_ SP_ pu }}$ 是 $\\mathrm{M}$
如果 $\\Delta f$ 是 $\\mathrm{Z}$ 并且 $\\mathrm{Niv}_{\\text {stock_ it_ pu }}$ 是 $\\mathrm{S}$ 并且 $\\Delta P_{\\mathrm{pu}}$ 是 $\\mathrm{PB}$, 则 $P_{\\text {ref_ SP_ pu }}$ 是 $\\mathrm{Z}$
如果 $\\Delta f$ 是 $\\mathrm{Z}$ 并且 $\\mathrm{Niv}_{\\text {stock_ it_ pu }}$ 是 $\\mathrm{S}$ 并且 $\\Delta P_{\\mathrm{pu}}$ 是 $\\mathrm{PM}$, 则 $P_{\\text {ref_ SP_ pu }}$ 是 $\\mathrm{Z}$
如果 $\\Delta f$ 是 $\\mathrm{Z}$ 并且 $\\mathrm{Niv}_{\\text {stock_ it_ pu }}$ 是 $\\mathrm{S}$ 并且 $\\Delta P_{\\mathrm{Z}}$ 是 $\\mathrm{PM}$, 则 $P_{\\text {ref_ SP_ pu }}$ 是 $\\mathrm{Z}$
如果 $\\Delta f$ 是 $\\mathrm{Z}$ 并且 $\\mathrm{Niv}_{\\text {stock_ it_ pu }}$ 是 $\\mathrm{S}$ 则 $\\beta_{ref_{-} p u}$ 是 Z
如果 $\\Delta f$ 是 $\\mathrm{Z}$ 并且 $\\mathrm{Niv}_{\\text {stock_ lt_ pu }}$ 是 $\\mathrm{S}$ , 则 $\\mathrm{P}_{\\text {ref_ stock_ lt_ pu }}$是PM
N2N2ct如果 $\\Delta f$ 是 $\\text{PB}$ 或者 $\\Delta f$ 是 $\\text{N}$,则 $P_{\\text{ref_ stock_ ct_ pu}}$ 是 $Z$
如果 $\\Delta f$ 是 $\\text{NB}$ 并且 $\\text{Niv}_{\\text{stock_ ct_ pu}}$ 是 $\\text{B}$,则 $\\beta_{\\text{ref_ pu}}$ 是 $\\text{Z}$
如果 $\\Delta f$ 是 $\\text{PB}$ 并且 $\\text{Niv}_{\\text{stock_ ct_ pu}}$ 是 $\\text{B}$,则 $\\beta_{\\text{ref_ pu}}$ 是 $\\text{M}$
如果 $\\Delta f$ 是 PB 并且 Niv ${ }_{\\text {stock_ ct_ pu }}$ 是 $\\mathrm{S}$, 则 $P_{\\text {ref_ SP_ pu }}$ 是 $\\mathrm{Z}$
如果 $\\Delta f$ 是 $\\text{NB}$ 并且 $\\text{Niv}_{\\text{stock_ ct _pu}}$ 是 $\\text{S}$,则 $P_{\\text{ref_ SP_ pu}}$ 是 $\\text{M}$
N2lt如果 $\\Delta f$ 是 $\\text{PB}$ 或者 $\\Delta f$ 是 $\\text{N}$,则 $P_{\\text{ref_ stock_ lt_ pu}}$ 是 $Z$
如果 $\\Delta f$ 是 $\\text{NB}$ 并且 $\\text{Niv}_{\\text{stock_ lt_ pu}}$ 是 $\\text{B}$,则 $\\beta_{\\text{ref_ pu}}$ 是 $\\text{Z}$
如果 $\\Delta f$ 是 $\\text{PB}$ 并且 $\\text{Niv}_{\\text{stock_ lt_ pu}}$ 是 $\\text{B}$,则 $\\beta_{\\text{ref_ pu}}$ 是 $\\text{M}$
如果 $\\Delta f$ 是 $\\text{PB}$ 并且 $\\text{Niv}_{\\text{stock_ lt_ pu}}$ 是 $\\text{S}$,则 $P_{\\text{ref_ SP_ pu}}$ 是 $\\text{Z}$
如果 $\\Delta f$ 是 $\\text{NB}$ 并且 $\\text{Niv}_{\\text{stock_ lt _pu}}$ 是 $\\text{S}$,则 $P_{\\text{ref_ SP_ pu}}$ 是 $\\text{M}$
"} {"image_path": "images/880f016c77be6d0603c18befe12443fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检测对象项目/参数检测标准(方法)说明生效日期
序号名称
4耐热试验爆炸性环境-第18部分:由浇封型“m”保护的设备IEC 60079-18:2014+A1:2017 8.2.3.12024-08-13
5 耐寒试验爆炸性环境-第18部分:由浇封型“m”保护的设备IEC 60079-18:2014+A1:2017 8.2.3.22024-08-13
6介电强度试验爆炸性环境-第18部分:由浇封型“m”保护的设备IEC 60079-18:2014+A1:2017 8.2.42024-08-13
7电缆拔脱试验爆炸性环境-第18部分:由浇封型“m”保护的设备IEC 60079-18:2014+A1:2017 8.2.52024-08-13
8压力试验爆炸性环境-第18部分:由浇封型“m”保护的设备IEC 60079-18:2014+A1:2017 8.2.62024-08-13
9可复位温度保护装置的试验爆炸性环境-第18部分:由浇封型“m”保护的设备IEC 60079-18:2014+A1:2017 8.2.72024-08-13
10内置保护装置密封试验爆炸性环境-第18部分:由浇封型“m”保护的设备IEC 60079-18:2014+A1:2017 8.2.82024-08-13
11结构检查和标志爆炸性环境-第18部分:由浇封型“m”保护的设备IEC 60079-18:2014+A1:2017 7~102024-08-13
20防爆设备-由正压房间“p”和人工通风房间“v”保护的设备全部参数爆炸性环境第17部分:由正压房间“p”和人工通风房间“v”保护的设备GB/T 3836.17-20192024-08-13
1正压房间的要求爆炸性环境第17部分:由正压房间“p”和人工通风房间“v”保护的设备 GB/T 3836.17-2019 6.42024-08-13
2人工通风房间的要求爆炸性环境第17部分:由正压房间“p”和人工通风房间“v”保护的设备GB/T 3836.17-2019 7.52024-08-13
21防爆设备-由正压房间“p”和人工通风房间全部参数爆炸性环境第13部分:由正压房间“p”和人工通风房间“v”保护的设备IEC 60079-13:20172024-08-13
1正压房间的要求爆炸性环境第13部分:由正压房间“p”和人工通风房间“v”保护的设备IEC 60079-13:2017 6.42024-08-13
"} {"image_path": "images/be273dbd9cfa6d450b677d50f60857c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
略#排出ロブレート寸 法 (mm)投入速度w g/s.$\\text{排出口面積}\\\\~~~~~(\\mathrm{mm}^2)$
A$(d=2^{\\phi}{\\sim}13,\\:~~l=42)$3.0040.8
B$(d=3^{\\phi}{\\sim}11,\\:~~l=42)$7.6477.8
C(d=2.0, l=43)10.186.0
D(d=3.0, l=41)20.4123.0
E(d=4.0, l=41)37.7164.0
F(d=5.0, l=41)47.0205.0
G(d=6.0, l=41)63.1246.0
H(d=7.0, l=41)86.5287.0
I(d=8.0, l=41)104.5328.0
D1(d=3.2, l=42)24.9134.4
D2(d=3.4, l=42)25.5142.8
D3(d=3.6, l=42)29.2151.2
D4(d=3.8, l=41)31.3155.8
"} {"image_path": "images/d64ad61ed0a878edb719eff6a2f40c88.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Food and AmountCatories Carbo-hydrategm.Proteingm. Sat.FattyAcidsgm.Unsat.FattyAcidsgm.VitaminAIUThiamiB$_1$mg.
Lamb, Breast Cut, Lamb.Patties-dry*cooked, 2\" diam., 55 gm.102.3015.78---------.08
Lamb, Shoulder Cut, Rolled LambShoulder-dry* cooked, 1 sl.3\"x 3\"x ½\", 50 gm.102.5013.4320.07
Lamb, Shoulder Cut, Boneless ShoulderChops-dry* cooked, 1¾\" x 1½\" x¾ \",52 gm.106.6013.933.122.080.07
Lamb, Shoulder Cut, Arm Lamb Chop-dry* cooked, 1 chop, 3\" x ½\" x ¾\",57 gm.144014.63.422.280.109
Lamb, Shoulder Cut, Blade Lamb Chop-dry* cooked, 3¼\" x 11/4\" x 1¾\",93 gm.1000 25.45.583.720.183
Lamb, Shoulder Cut, Cubes for Shish-kabob-dry* cooked, 1\" cube, 25 gm.51.2506.71.510.03
Lamb, Rack, Lamb Crown Roast—dry* cooked, 1¾\" x 1¾\" x ¾\",41 gm.119010.52.661.640.086
Lamb, Rack, Rib Lamb Chop—dry* cooked, 1¾\" x 1¾\" x ¾\",41 gm.119010.52.661.640.086
Lamb, Rack, French Rib Lamb Chop—dry* cooked, 1¾\" x 1¾\" x ¾\",41 gm.119010.52.661.640.086
Lamb, Loin, Loin Lamb Chop—dry* cooked, 1¾\" x 1¾\" x ¾\",46 gm.103012.51.971.47• 0.095
Lamb, Loin, English Lamb Chop—dry* cooked, 1½\" x 1½\" x ¾\",40 gm.75.2011.281.721.280.06
Lamb, Leg, Frenched Leg—dry* cooked,1 sl., 4\" x 3\" x ½\", 61 gm.107017.62.441.830.14
Lamb, Leg, Leg of Lamb—dry* cooked,1 sl., 4\" x 3\" x ¼\", 98 gm.192027.63.922.940.221
END OF LAMB RETAIL CUTS
Liver, Beef, cooked, fried-1 sl.,3\" x 2¼\" x ⅔\", 37 gm.865.68.8------18,658.09
Liver, Calf, cooked, fried-1 sl.,3\" x 2¼\" x ⅔\", 36 gm.741.78.1------9,565.063
Liver, Chicken, cooked, simmered —½ cup, 90 gm.148.52.7923.85------11,070.15
Liver, Hog. cooked, fried-1 sl.,3\" x 2¼\" x ⅔\", 37 gm.853.88.81.112.226,035.126
Liver, Lamb,cooked, broiled-1 sl.,3\" x 2¼\" x ⅔\", 37 gm.864.39.3------21,465.131
Liver paste-see Paté de foie gras
Liver sausage-see Sausages, Cold Cuts, and Luncheon Meats
Meatloaf—see Sausage, Cold Cuts, and Luncheon Meats
Pâté de foie gras, cannod-I rd. tbsp.,20 gm.92.4.962.28---------.01
PORK, FRESH-RETAIL CUTS, MEDIUM FAT CLASS, LEAN ONLY, SEPARABLE FAT REMOVED
Pork, Butt, Lard-see Fats and Oils
Pork, Butt, Blade Pork Steaks—moist*cooked, 1 sl., 3\" x 1½\" x ½\", 54 gm.150015.73.244.480.367
"} {"image_path": "images/336de08b4ac4af7012064d2633dd154c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号物 资 名 称型 号 及 规 格供应价格预算价格
3800183磁力起动器QC10-5/7 60A566.00586.00
3800184磁力起动器5/8 60A652.00675.00
3800185磁力起动器6/2 100A439.00454.00
3800186磁力起动器6/3 100A675.00699.00
3800187磁力起动器6/4 100A761.00788.00
3800188磁力起动器6/5 100A414.00429.00
3800189磁力起动器6/6 100A559.00579.00
3800190磁力起动器6/7 100A649.00672.00
3800191磁力起动器6/8 100A913.00945.00
3800192磁力起动器7/2 150A694.00718.00
3800193磁力起动器7/3 150A956.00990.00
3800194磁力起动器7/4 150A1293.001339.00
3800195磁力起动器7/5 150A599.00620.00
"} {"image_path": "images/01095ced04713cae1875181bdd87111f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
d軸 承 系 列
特 軽 系 列軽 系 列中 系 列重 系 列
DhH$h_{1}$DhH$h_{1}$DhH$h_{1}$DhH$h_{1}$
30475112537.516360102147012.5285.5
35535122.5627.5183.568102458012.5326.5
40606132.5687.519478102659015367
45656143737.52048512.5285.510015398
50706143787.5224.59512.531611017.5489.5
55787.516390102551051535712017.5489.5
60857.5173.595102651101535.11302051.10
65907.5183.510010275.51151536714022.55611
70957.5183.510510275.5125.1540815022.56012
751007.519411010275.513517.544916022.56513
801057.519411510285.514017.5449170256813.5
851107.519412512.531615017.5491018027.57214.5
9012010224.513512.535715517.5501019027.57715.5
1001351025515015387.5170205511210308517
"} {"image_path": "images/13cb1c0741f4898e3f069598bd176f8d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓名性别籍 贯党团牺牲时间地点牺牲前单位职务
黄 犬合水乡彰丰洞1948年10月公白粤赣湘边支队珠江队战士
黄 石合水乡彰丰洞1948年12月河源粤赣湘边支队珠江队战士
黄维音合水乡彰丰洞1948年10月大湖粤赣湘边支队珠江队战士
卢春来合水乡金坑村1947年12月利源九连山自卫队战士
周锦文热水镇南湖1947年12月利源九连山自卫队战士
罗克晃热水镇留村1949年9月龙川县九江中队战士
罗文田热水镇留村1948年2月热水上楼热水镇民兵战士
罗先才热水镇留村1948年2月热水田心热水乡民兵战士
罗亚南热水镇留村1948年2月青州九连山自卫队战士
"} {"image_path": "images/8c2160f2b45eda413bf973ac905320a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
桌 號
身 長100一110(公分)100一120120一130130一140140一150150一160160一170
48(公分)52.57.62.68.75.80.
38(公分)38.4040.42.42.42.
55(公分)55.55.60.60.60.60.
110(公分)110.110.120.120.120.120.
27(公分)29.32.34.36.39.42.
25(公分)27.30.32.35.37.40.
55(公分)55.55.60.60.60.60.
110(公分)110.110·120.120.120.120
高 低 差21(公分)23.25.28.32.36.28.
備考椅背與桌縁之距離由26-38公分
"} {"image_path": "images/db3f85e92a8e962347d3aec3a647b2cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
課程名稱:中文名稱:有機反應機構
英文名稱:Organic reaction mechanism
授課年段:三上・三下學分總數:2
課程屬性:大學預修課程
師資來源:校內單科
課綱核心素養:A自主行動:A2.系統思考與問題解決,A3.規劃執行與創新應變,
B溝通互動:B1.符號運用與溝通表達,
C社會參與:
學生圖像:
學習目標:1加深學生有機化學的能力。2衔接大學有機化學的課程。
教學大綱:遇次/序單元/主題內容網要
反應機構認識彎曲箭
反應機構箭的畫法
反應機構畫中間產物
反應機構何謂親核基?
反應機構何謂親電子基?
反應機構鹼基與親核基的差別?
反應機構反應機構清單
取代反應認識取代反應
"} {"image_path": "images/d11c38ed78071e764e204f91dd2b9346.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DURING THE PAST MONTH ...Always(1)veryOften(2)Sometimes(3)AlmostNever(4)Never(5)
21. Did you need help to take a bath or shower?——————————28/
22. Did you need help to get dressed?——————————29/
23. Did you need help to use the toilet?——————————30/
24. Did you need help to get in or out of bed?——————————31/
"} {"image_path": "images/aa50407c12ccc95fb836dbdc9a7ce262.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Voltagein kVCurrentin Amps Bus MBus N
Line 1Line 2Line 1Line 2
$E_A$74.5 + j 4.9153.0 - j 1.5
$E_B$-41.9 - j 62.1-76.3 - j134.2
$E_C$-99.4 + j 214.4-99.0 + j184.2
$I_A$3416.5-412.7838.1412.7
-j10799.5+j1130.1-j2455.6+j1130.1
$I_B$767.4-7429.4-767.4-1678.1
-j714.8+j6237.4+j714.8+j1497.3
$I_C$-52.6-52.652.652.6
-j4.8-j4.8+j4.8+j4.8
"} {"image_path": "images/2b371d76355a3b150743952c49714d60.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级栏目二级栏目内容简介存放的文件夹
"} {"image_path": "images/e4d3ccefd3409f920d8207f8bb3b6583.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
借用人日期仪器名称仪器编号借用天数经手人审批人归还日期验收人
"} {"image_path": "images/e5a0a7aa2814f7a859b8b96d9b8050cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份物 候 现 象观测年数平均日期(日/月)最 早 日 期(日/月) 年份 最 晚 日 期( 日/月 ) 年份 多年变幅(天数)
4月紫荆开花末期1222/414/419661967197327/5198043
垂柳果实始落1022/418/4196425/419657
合欢开始展叶722/413/419631/5196718
构树始花624/417/4196429/4196512
冬小麦抽穗525/423/4197528/419775
桑树开花末期526/414/419639/5196525
垂柳果实落尽927/423/419642/519639
刺槐始花728/423/419644/5197511
中稻(南京11号)播种528/426/4197130/419764
苦楝花序出现830/421/419649/5197518
构树开花盛期730/421/419646/5196615
冬小麦始花530/427/419753/519776
5月刺槐开花盛期102/526/4196419739/5196513
棉花出苗65/529/4197711/5196212
布谷鸟始见、始鸣66/528/4196318/5197320
构树开花末期68/525/4196423/5196528
初 夏
刺槐开花末期89/530/4197317/5196517
枣树花蕾出现99/51/5196419/5196518
苦楝始花109/54/5196419/3196515
苦楝开花盛期914/58/5196421/5196513
早稻移栽517/510/5197523/5197713
一代三化螟初期617/55/520/515
一代三化螟盛发618/59/55/627.
合欢花序出现719/52/51964197330/5196328
初见闪电1220/53/4196426/71976114
一代三化螟高峰期521/59/530/521
"} {"image_path": "images/edb833d58b64325353ce1a1265d0f6d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
loveENGLISHto have an affairto get engagedto get married, to marry
liebeDEUTSCHeine Affäre habensich verlobensich verheiraten
amorESPANOLtener un lío, tener unaaventura, enredarse,liarseprometersecasarse
amourFRANCAISavoir une aventurese fiancer, se match(Qb)er se marier, épouser
amoreITALIANOavere una storiafidanzarsisposarsi
amorPORTUGU$\\hat{E} $Ster um caso$\\underline{♂}$ ficar noivo, $\\underline{\\text{♀}}$ ficarnoiva casar-se
láskaCESKYmit aferkuzasnoubit se$\\underline{♂}$ ozenit se, $\\underline{\\text{♀}}$ vdat se
"} {"image_path": "images/a542291ff4b5e0cdf1d0c1175fd6f64e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Frequencyin Mc/sec.Velocity × $10^{-5}$in cm/sec.Frequency-freepressure absorptioncoefficient × $10^{17}$in $\\sec.^2$/cmTemperat urc°C
$0.50^1$1.4516.320
$21.5^2$24.3
$54.0^2$6.424.3
1521.449 ±0.0025.8 ±0.523.8
2911.451 ±0.0025.5 ±0.524.0
3901.450 ±0.0025.7 ±0.528.2
7741.47 ±0.024.7 ±1.027.2
9961.44 ±0.056.0 ±1.026.9
"} {"image_path": "images/b4758be5bdc7dd468c2aa6f8169989b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
钢板的厚 度(英寸)成 形 总 个 数
一千个一万个十万个一百万个
0.010$ \\begin{array}{l}\\\\ \\text{ SK3 SK4}\\\\ \\text{ SK5}\\end{array} $$ \\begin{array}{l}\\\\ \\text{ SK3 SK4}\\\\ \\text{ SK5}\\end{array} $$ \\begin{array}{l}\\\\ \\text{ SK3 SK4}\\\\ \\text{ SK5}\\end{array} $$ \\begin{array}{l}\\\\ \\text{ SK3 SK4}\\\\ \\text{ SK5}\\end{array} $
0.031$ \\begin{array}{l}\\\\ \\text{ SK3 SK4}\\\\ \\text{ SK5}\\end{array} $$ \\begin{array}{l}\\\\ \\text{ SK3 SK4}\\\\ \\text{ SK5}\\end{array} $$ \\begin{array}{l}\\\\ \\text{ SK3 SK4}\\\\ \\text{ SK5}\\end{array} $$ \\begin{array}{l}\\\\ \\text{ SKD12}\\\\ \\text{ SKD11}\\end{array} $
0.062$ \\begin{array}{l}\\\\ \\text{ SK3 SK4}\\\\ \\text{ SK5}\\end{array} $$ \\begin{array}{l}\\\\ \\text{ SK3 SK4}\\\\ \\text{ SK5}\\end{array} $$ \\begin{array}{l}\\\\ \\text{ SK3 SK4}\\\\ \\text{ SK5}\\end{array} $SKD11
0.125SKS43SKS44SKS43SKS44SKS43SKS44SKD12SKD11
0.250SKS4SKS41(渗 碳)SKS 4SKS41(渗 碳)SKS 4SKS41(渗 碳)SKH 9SKD11MZ2 MZ100
0.500SKS 4SKS41(渗 碳)SKS4 (渗 碳)SKS41SKH9MZ2 (軟氮化)SKH9SKD11MZ2 MZ3MZ4 (軟氮化)$ \\begin{array}{l}\\text { SKD11 } \\\\ \\text { SKH9 } \\\\ \\text { MZ2 MZ3 } \\\\ \\text { MZ4 MZ100 } \\\\ (\\text { 软氧化) }\\end{array} $
1.000SKS 4SKS41(渗 碳)SKS4 (渗 碳)SKS41SKH9MZ2 (軟氮化)$ \\begin{array}{l}\\text { SKH9 } \\\\ \\text { MZ2 MZ3 } \\\\ \\text { MZ4(软氮化) } \\\\ \\text { MZ100(软氮化) }\\end{array} $
"} {"image_path": "images/00d3244d0462cc0f2e3a8d5996261c5f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
牌 号化 学 成 分(%)
Mn (锰)C (碳)Si (硅)P (磷)S (硫)
1 组2 组Ⅰ 级Ⅱ 级
不小于不 大 于
GFeMn7676.07.51.02.00.330.50.03
GFeMn7272.07.30.38
GFeMn6868.07.00.400.60
GFeMn6464.0
GFeMn6060.02.50.50
GFeMn5656.0
GFeMn5252.0
"} {"image_path": "images/d33f90374651e94d428930449f4681ac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DESTI-NATIONPRICE(€)DURA-TION(HR)DIS-TANCE(KM)FREQUENCY
Bled7.8057hourly
Bohinj9.80291hourly
Koper11.101225 daily withmore inseason
Maribor11.402-31412-4 daily
Novo7.20172up to 7 daily
Mesto
Piran123140up to 7 daily
Postojna6153up to 24daily
"} {"image_path": "images/24e775b8ec9ff34fda66846566ffdbb7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
M时 间地 点最远有感距(公里)M时 间地 点最远有感距(公里)
8 #1668郯 城6001786‘康 定720
1920海 原15001830磁 县650
81303洪 洞3301879武 都 800
1556华 县8501888渤海湾600
1604泉 州8501918南澳 (7.3)1000
1679三河--平谷8001975海城 (7.3)1000
1695临 汾50071501朝 邑410
1739银 川8001600南 澳650
1927古 浪7001626灵 丘530
1976唐山(M=7.8)12001683原 平530
7 #512应 县5101936菏 泽650
1605琼 山6301954山 丹(7# )500
1654天 水6501954民 勤700
1709中 卫9001986宁晋(7.2)700
1718通 谓6501976松潘(7.2)1100
"} {"image_path": "images/c3a9cbc4d643a4ff3cda7bb741d519a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$P_H$MPa$\\gamma $ h(μm)$C_T ~~\\mathrm{v} / \\Delta \\mathrm{v}$Simulation
1900>1055$\\text{steel-steel}$
0.012.533$\\mathrm{MoS}_{2}-steel$
0.0042.525.5---
0.0022.519.5PTFE-steel
850>10122$\\text{steel-steel}$
0.012.574$\\mathrm{MoS}_{2}-steel$
0.0042.557---
0.0022.543.5PTFE-steel
850>10122$\\text{steel-steel}$
0.011.25~62$\\mathrm{MoS}_{2}-steel$
0.0041.2543.5---
0.0021.25~38PTFE-steel
"} {"image_path": "images/5553d0d5b52c52ba67590eecc5c77416.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
相带包体占石英体积%包体大小$(\\mu \\mathrm{m})$包体形态占总数%颜色气液比次生包体原生包体原生包体
圆形纺锤形不规则其他$ \\frac{V_{气}}{V_{气}+V_{ }} $(%)测定数范围(℃)平均温度(℃)测定数范围(℃)平均温度(℃)测定数范围(℃)平均温度(℃)
石英相2-316-56205525气相灰色,液相近透明无色30-7016132-1551457249-2642552-455455
似伟晶岩相210-32255520气相浅灰红色,液相透明无色25-33379-1108918265-3002809455-550 503
细粒白云母花岗岩相1-210-24256010.55黑带蓝色20--302168-17517110277-33430915500-545526
"} {"image_path": "images/849e76da3fbd36e6be974e3fc02e0a56.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月植被类型123456789101112年平均
混 交 林8190918990 88919188878577 87.3
桉 树 林79878887888788898885837785.5
光 板 地78899087878485858381807083.2
"} {"image_path": "images/095fef82d5db2533a9c77812b455f7e4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
丝锥直径(毫米)螺 纹 螺 距 , (毫米)
0.50.751.01.251.523
3~6678
8~1089910
12~1610101111
18~2411131312
≥2612141313
"} {"image_path": "images/e4587bb0058ff8bb8344f2e43fee007a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CATItems administered
Case 1
$p_{1}$2478
$p_{2}$1462
$p_{3}$79258
$p_{4}$87132
Case 2
$p_{1}$2478
$p_{2}$1462
$p_{3}$79258
$p_{4}$87132
"} {"image_path": "images/2fb9582c2d43159597f6a74dbca69ba6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
租出与租入村名 阶级租 入租 出备 考
户数租地(垧)户数租地(垧)
园(亩) 园(亩)
贺家川贫 民434.5
雇 农17.0
小 商 人110.5
其 他231.0
孟家沟富裕中农租出土地均在圪柳嘴,租入者均在本村附近。
中 农13326.0
小 商 人10.5
贫 农433
第四行政村富裕中农110本村租人土地为贾家沟与温家川人所有。
中 农954
贫 农634
路家南坬富裕中农21512本村租入土地为贺家川人所有。
中 农736.5
贫 农212
崔家峁富裕中农17本村租入土地为贺家川所有。
中 农427.51
贫 农5341
总 计563180.10.1 0.5443766
"} {"image_path": "images/59697eb29a6cd817827b4371779f2de1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
跨長或受載長度(米)对 於 簡 支 梁 的 力 矩 跨長或受載長度(米)
在跨度$K$ 的中點(噸/米) 在跨度 $K$的四分之一點(噸/米)在支座处对於切力
(噸/米)
119.0059.0019.001
29.509.509.502
86.336.336.333
44.754.754.7545
53.808.804.085
63.173.178.566
72.712.963.147
82.882.672.828
92.272.432.659
102.162.232.5410
112.052.052.4311
121.952.002.8112
131.851.932.2013
141.751.862.0914
151.671.802.0015
161.601.731.9116
181.551.651.7818
201.481.571.6720
221.411.491.6222
241.851.441.5724
261.821.881.5126
281.291.341.4528
301.281.321.4130
321.261.291.8932
361.191.221.3236
401.151.161.2740
501.101.101.1850
601.051.051.1360
701.011.011.0870
800.990.991.0580
900.970.971.0390
1000.960.961.01100
1200.940.940.98120
1400.930.930.96140
1600.920.920.94160
"} {"image_path": "images/7dbe6226e44b0653825b2d51a7a94622.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品型号额定工作电压(V)额定电流 (A)额定分断能力(kA)额定功率(W)熔体尺寸(mm)$L$
支持体熔体
RLIAC400152、4、6、10、15252.53217
6020、25、30、35、40、50、605.54827
10060、80、1005076234
200100、125、150、200205852
RL6AC50025 2、4、6、10、16、20、25 8044922.5
6335、50、6374928
10080、1005095638
200125、160、200195652
RL7AC660252、4、6、10、16、20、25256.36922.5
6335、50、6313.46928
10080、10016.87638.5
RL8AC380162、4、6、10、16502.23611
6320、25、35、50、635.53615.3
RLS1AC50010$ 3、5、10 $50-3217
5015、20、25、30、40、50-4827
RLS2AC5003016、20、25、3050184922.5
6335、(45)、50、6332.54928
100(70)、80、(90)、100545638
"} {"image_path": "images/1bf1dbac49d79017117e2572a78d997b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
函数解析式 x,y取值范围函数图象增减性图象位置变化在y轴截距
正比例函数y = kx$(k\\neq0)$ x,y可取任意实数k>0图像在一、三象限|k| 越大越接近 y轴在 y 轴截距是 0
k<0图象在二、四象限|k| 越小越接近 x轴
一次函数y = kx+ b$(k\\neq0)$ x,y可为任意实数k>0和 x 轴成锐角|k| 越大越接近 y轴。在 y 轴截距是 b
k<0和 x 轴成钝角|k| 越小越接近 x轴
反比例函数$y= \\frac{y}{x}$$(k\\neq0)$ x,y是不等于零的任意实数k>0图像在一、三象限图象能无限接近 x 轴、y 轴永不能相交和 y 轴不相交。
k<0图象在二、四象限
"} {"image_path": "images/78c027664dfa4060ce2f61700a486232.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
機 關 名 稱總成績工作人員總數受測驗人數受測驗人對於本機關工作人員總數百分比黨 員非 黨 員工作报告
人數總分數人數總分數
$國府^{文官處}_{參軍處}$49.98336265$ 78.87\\% $1065,609.81597,636.0
行 政 院50.0013994$ 67.63\\% $251,372.7693,327.4
内 政 部49.83172148$ 86.05\\% $281,505.11205,869.8
外 交 部49.97335267$ 79.70\\% $281,543.723911,797.6
財 政 部49.90669601$ 89.84\\% $432,297.755827,692.6
軍 政 部50.01784637$ 81.25\\% $1558,345.848223,507.8
海 軍 部50.01182147$ 80.77\\% $482,424.1994,927.9
交 通 部49.95342294$ 85.96\\% $361,965.525812,718.7
鐵 道 部49.89378292$ 77.25\\% $321,728.626012,840.5
工 商 部50.01320266$ 83.13\\% $291,634.423711,668.6
農 礦 部49.95165139$ 84.24\\% $321,728.61075,214.3
教 育 部50.1211899$ 83.90\\% $261,390.7733,571,3
衛 生 部49.95138110$ 79.71\\% $14819.1964,675.7
建 設 委 員 會49.96154123$ 79.87\\% $231,209.01004,936.0
禁 烟 委 員 會49.985743$ 75.44\\% $154.7422,094.4
立 法 院49.92280188$ 67.14\\% $422,183.91467,200.5
司 法 院49.956352$ 82.54\\% $11554.2412,043.2
司 法 行 政 部49.91185150$ 81.08\\% $14284.61366,702.6
最 高 法 院49.89152145$ 95.39\\% $291,512.41165,721.0
考 試 院49.918870$ 79.55\\% $15799.9552,693.8
審 計 院50.00206183$ 88.83\\% $713,688.81125,462.0
參 謀 本 部50.01344234$ 68.02\\% $804,228.71547,374.6
訓 練 總 監 部50.00255224$ 87.84\\% $693,566.51557,633.0二六〇
首 都 公 安 局50.03225187$ 83.11\\% $18995.51698,359.9
南 京 電 話 局49.945120$ 39.22\\% $0020998.8
江蘇電政管理局50.0317624$ 13.64\\% $145.7231,155.0
江蘇郵政管理局49.96283268$ 94.70\\% $3180.026513,209.6
合 計6,5975,270$ 79.88\\% $97952,169.74,291211,032.6
全 部 受 測 驗 人 成 績 之 平 均 數 爲 49.94分全 部 受 測 驗 人 成 績 之 標 準 差 爲 ±8.45分
"} {"image_path": "images/8a0dd543d508e8f718e58c165ed11b26.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
户外用品店名称
店址
资产规模
产品类型和品牌
产品质量
价格
顾客服务
网站知名度
销量
库存水平
利润
"} {"image_path": "images/860eb69630ea14dd0bd6a8b28e104729.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Н А З В А Н I Е. № №инструментовъ.
B. Инструменты, выдаваемые артиллерийским оборудованию заводу.Мастеръ-метчикъГребенкиВ. Предметы, заготовляемые заводомъдля пріемщика.Лежало для повърки поперечного съченія пояс-ныхъ желобовъ на снарядахъСтальные молоткиШпилькиБородыВъса съ разновъсками № 20.№№ 21 и 22.№ 37.
"} {"image_path": "images/d220cf44dc75849d637f590c54b4cb40.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
用地类型赋值结果
建设用地城乡居民点建设用地城市建设用地居住用地8
公共管理与公共服务用地4
商业服务业设施用地2
工业用地7
物流仓储用地7
建设用地城乡居民点建设用地城市建设用地道路与交通设施用地6
公用设施用地3
绿地与广场用地9
乡镇、村庄建设用地5
区域交通设施用地6
特殊用地1
其他建设用地 (风景名胜区)9
非建设用地 水域9
农林用地 (林地)9
农林用地 (耕地)8
"} {"image_path": "images/ad02975bf012b52b8d9c671777c9eb8e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得 分1234567891011121314
智 龄2.63.03.23.53.73.83.94.04.24.54.74.95.05.2
得 分 1516171819202122232425262728
智 龄5.55.75.86.06.26.56.76.87.07.27.67.98.08.3
得 分29303132333435363738394041
智 龄88.99.09.39.69.910.010.611.011.612.012.513
"} {"image_path": "images/932d8e5b165e5090a1cc1dd9b7e7e9eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$U_{\\mathrm{il}} / \\mathrm{V}$
$U_{i 2} / \\mathrm{V}$
$U_{\\mathrm{o}} / \\mathrm{V}$
"} {"image_path": "images/f50da05d5e432ee7c06ea772bbf9c9e3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Size ofSample n Mean\"Quartile\" Size ofSample n Mean\"Quartile\"
1-000,00022.666,514
2.544,07623.667,949
3$ 612,085^-$24.668,602
4.642,54725.668,551
5.648,26930.668,793
6.637,88131.669,590
7.652,16232.669,961
8.657,00633.669,926
9.659,27650.671,165
10.654,79751.671,462
11.660,83752.671,601
12$ 663,655^+$53.671,585
13.663,69470.672,141
14.661,22471$ 672.295^+$
15.664,53472.672,367
16.666,07273.672,359
17.666,01398.672,825
18.664,52399.672,905
19.666,610100.672,942
20.667,580101.672,937
21.667,519
$\\infty$.674,490
"} {"image_path": "images/614bc9fbf8c0efb22b6ffec79fb77633.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
The Book of Wisdom Sirach29:23155
1-51601-1513430:21156
1:1-11166-1671137-14130:23156
1:11632:1815931:12-
1:6-91694:1-615532:2153
1:14-15171-1724:8-1015433:30158
1:161686:7-1215837:13156
2167-1696:14-1715738:34149
2:211727:1915839:1-11150
3171-1739:1015844-51134,151
5:3-417310:91535164,135,
5:15170,17213:5-7156137,138,
5:1617314:20-24150146-151,
6-959,64,82,19:2284187
84,160,21:22-24153
174-1822459,64,84,Isaiah
6:1163134,137,40:2112
6:9163138,141-Daniel 173
6:12-1482146,186,
6:21163188,190Baruch
7:22-258525:2462,64,1583-464
9:2-316426158
10-19160,183-29:10154Zechariah
18429:211561:15112
"} {"image_path": "images/57ed651973612e614f7c7cf626b87abf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
V VV V 状 态
$ T_1 $
$ T_2 $
"} {"image_path": "images/906dce05aeca2e446439a17d3d22799d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
土地地块直接生产费用运费直接生产费用所得平均利润当地个别生产价格运到市场内的个别生产价格社会生产价格利润超额利润转化为级差地租 I
距市场10公里10020元20元120元120+24=124元216元96元96-24=72元
距市场20公里10040元20元120元140+28=168元216元76元76-28=48元
距市场40公里10080元20元120元180+36=216元216元36元36-36=0
备注 假设平均利润指全部投资十全部投资指利润—全部投资
"} {"image_path": "images/565e468eca7aba62a97a97c15d33052b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
技 术 条 件1. 煅后等温冷却处理2. 粗加工后正火,回火处理,硬度HB=196~260
编 制审 核组 长车 间 会 签
"} {"image_path": "images/93787ceb9a82f5d27f29b342b367a848.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
文 号(4)财工字第 372号(86)财工字第 102 号(72)财货字 252 号(73)财企字第 58 号(77)财企字第 307 号(84)财商字第 22 号(84)财商字第 18 号(84)财商字第 50 号
颁发年月日1984.11.71986.4.91972.10.181973.9.221977.12.141984.3.271984.4.21984.5.17
规 章 名 称关于500户机械电子企业实行按固定资产分类折旧年限计提方案具体审核办法的具体规定关于小化肥临时降价后有关财政补贴问题的通知四、商贸金融财务类关于改变人民银行经费管理办法的通知关于边远地区和深山区收购三类农副产品实行运费补贴的补充通知关于经营进口涤纶棉差价收入的盈余纳入预算的通知关于下达1984年北方棉、絮棉、长绒棉价差补贴预算的通知关于外贸企业财务检查中一些问题的处理意见外贸企业出口业务增盈减亏中与地方分成的暂行规定
颁 发 机 关财政部财政部财政部财政部、商业部财政部财政部财政部、经贸部财政部
序号072073074075076077078079
"} {"image_path": "images/ffbf110d1ad62fab75400f0b6662327a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1978年1979年1980年1981年1982年
农作物总播种面积6,583.96,445.06,399.96,217.36,161.3
一、粮食作物5,538.65,399.15,263.15,310.45,033
二、经济作物668. 0654. 3737. 6706. 5761
三、其他作物比 重(以总播种面积为100)377. 3391. 6399. 2380. 4367. 3
一、粮食作物84. 183. 882. 282. 581. 5
二、经济作物10. 210. 111. 511. 412. 3
三、其他作物5. 76. 16. 26. 16. 2
"} {"image_path": "images/45d1acd52a4141c0f0744a4348734758.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
变 压 器容 量千 伏 安根据幾卷电压而不同的相电阻的大約数值,欧
綫 卷 电 压測量时建議采用电流, 安綫 卷 电 压測量时建議采用的电流, 安
6千伏10千伏3千伏400伏230伏133伏
5180100500.1 2
1014080400.30. 120. 060. 042
2010050250.30. 080. 030. 022
306035200.50. 060. 02 0. 012
503520101.00. 030. 010. 0073
75201261.00. 010. 0080. 0043
10014841.00. 0080. 0050. 0035
13510631.00. 0080. 0050. 0035
1807422.00. 0060. 0030. 0015
2407422.00. 0040. 0025
3203213.00. 0030. 0025
"} {"image_path": "images/ad9b29ce4c2014c167e65bc5127b4c74.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
热 能交换单位重量蛋白质脂 肪碳水化物
(千卡)(MJ)(份)(克)占总热能%(克)占总热能%(克)占总热能%
1000(1015)(4.20)B4417312714056
1200(1219)(5.04)$9\\frac{1}{2}$5117372716856
1400(1423)(5.88)116218432719755
1600(1588)(6.72)$12\\frac{1}{2}$73184827216 55
1800(1792)(7.56)147717522625457
2000(2023)(8.40)$15\\frac{1}{2}$8116592629258
2200(2191)(9.24)$16\\frac{1}{2}$85155924330 61
2400(2413)(10.08)18891565 2336862
"} {"image_path": "images/6486c98e91f50aaa1bedf25e630059d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
三 年 制一 年 级 小计一年级二年级
班级学 生班级学生学生学生
873690713381281417431964
63081473552569476
5188420721042103
3149 3116145271
41843127155272
5242525221023150
51833120170250
3147-
156811157342157358
41833130151279
6265522821113117
41443113140273
9379842142074214
263
299
51514148274274
4117138138
52076173287286
"} {"image_path": "images/50a94118a7bb2cef10e21171a3dd2c02.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
11163
$a_1$-25.91.28
$a_2$15.10.307
$a_3$-2.730.103
$a_4$-0.8130.0892
$a_5$0.5620.038
$a_6$1.830.0239
$\\lambda$1.151.0399
$\\alpha(\\lambda)$9.641.6195
e102.957
"} {"image_path": "images/fdc7355339ac87743a3734a7b909f519.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
市 县名 称农 业 机 械总 动 力(万 千 瓦)
柴 油 机动 力汽 油 机动 力电 动 机动 力
灌 云 县83.8171.801.0510.96
灌 南 县61.0055.101.004.90
淮 安 市371.91327.115.8438.96
辖 区17.2715.420.251.59
楚 州 区62.4647.191.4313.85
淮 阴 区42.6634.600.467.60
涟 水 县67.0264.870.571.58
洪 泽 县54.0849.580.803.70
盱 眙 县79.3274.780.544.00
金 湖 县49.1040.671.796.64
盐 城 市495.49355.2238.00102.27
辖 区25.6118.422.384.81
盐 都 区46.0136.610.908.50
响 水 县50.0441.711.956.38
滨 海 县70.5055.182.1013.22
阜 宁 县56.8936.180.9919.72
射 阳 县70.2645.5810.1314.55
建 湖 县38.7327.101.689.95
东 台 市73.6050.797.6215.19
大 丰 市63.8543.6510.259.95
扬 州 市215.56145.905.6164.05
辖 区7.353.490.463.40
邗 江 区27.5914.160.8512.58
"} {"image_path": "images/761339f5915badfe711bf3992c2a4266.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
脚号引脚符号引 脚 功 能电压/V备 注
1SIF OUT伴音中频输出2. 27 该集成电路为主芯片,内含系统控制、中放解调、亮度处理、色度解码、行场小信号处理等功能,采用 64 脚封装。此数据在厦华 MT2935A 数字高清彩电上测得,仅供参考
2IF AGC FILTER中放 AGC 滤波2. 62
3SIF IN伴音中频输入3. 08
4FM FILTER调频滤波2: 66
5FM AUDIO调频后的音频输出2. 28
6AUDIO OUT音频信号输出2. 36
7SIF PLL FILTER伴音中频锁相环滤波2. 28
8VCC中放电源4. 94
9AUDIO IN外部音频输入2. 30
10ABL亮度控制4. 50
11VCCRGB 处理电源7. 51
12R OUT红基色输出2. 80
13G OUT绿基色输出2. 72
14B OUT蓝基色输出2. 95
15AKB空脚0. 12
16VCAP场锯齿波电容3. 42
17VRAMP场锯齿波输出3. 05
18VCO压控振荡基准电流1. 65
19HVCC行电源5. 02
20AFC FILTER行 AFC 滤波2. 59
21HOR OUT行激励脉冲信号输出1. 23
22GND0
"} {"image_path": "images/7a1e29951f0d0f0b18f069bcaf08b9c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
变量 (1) (2)(3)
In$fi$0.5100***0.5050***0.3570***
(16.45)(16.73)(39.39)
$fir$0.00200.00214*0.0061***
(1.75)(2.08)(9.50)
$efs$-0.0110**-0.0112***-0.0122***
(-3.39)(-3.51)(-18.42)
$sr$-0.0117*-0.0125**-0.0151***
(-2.48)(-2.74)0(-10.90)
__$cons$3.3290***3. 4400***5.9910***
(4.48) (4.65)(33.78)
"} {"image_path": "images/d9fe2c479548c76cbc4fac6241786e12.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ipswichhath about 500 Famylyes
Charlestowne300
Cambridge300
Watertowne300
Roxbery150
Dorchester150
Dedham150
Waymouth150
Hampton200
Salisbury200
Hingham100
Hull100
Dover100
Lin ( ? Lynn)200
Manchester60
Manham100
Haverell100
Topsfield60
Rowley200
Newbery200
Portsmouth300
Exeter150
Kitereen300
York200
Wells50
Chensford150
Andover150
Concord200
Sudbery150
——60
Medfield150
Springfield100
Gloster80
Marblehead150
Redding200
Hamersmyth100
Malboro70
8180
"} {"image_path": "images/b8a79509ef3eda803baf346fbfc8b5b4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
村别数字项别禾 好 村什 茂 村什 甫 村
户 数101025
人口合計实 数5452122
%100100100
全劳动力小 計262962
%48.155.7750.82
171631
91331
半劳动力小 計71016
%12.9619.2313.11
244
5612
无劳动力小 計211344
%38.892536.07
6815
15529
"} {"image_path": "images/11b7c2aac67a4a829f81b3d585137fe3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份机关名称职务姓 名任职时间
1943.2~1949.8福建省政府秘书处第三科科长朱永兴1943.2~1948.11
科长袁继热(代理)1948.1~1949.1
科长朱永兴1949.1~1949.8
1950.~1954中共福建省委办公厅档案股股长王镇辉1950. ~ 1954
$ 1954.~1956.5 $中共福建省委办公室档案组组长王镇辉1954.~1956.5
$ \\begin{array}{c}\\\\ 1956.5\\sim 1959.4\\\\ \\end{array} $中共福建省委秘书处档案科科长王镇辉1956.5~1959.4
副科长夏伯勇$ 1956.5\\sim 1959.4 $
1956.10~1959.4福建省人民委员会档案管理处处长朱宝峰1956.10-1959.4
1959.2~1992.12福建省档案局局长赵毅(兼)1959.2~1963.9
局长刘田(兼)1963.9~1968.8
负责人刘德元1975.11~1980.8
局长王景阁1980.8~1983.2
局长刘德元1983.2~1987.10
局长夏伯勇1987.12~1991.12
局长金莹谛1992.6~
副局长吴清传1959.2~1968.8
副局长刘田(兼)1961.2~1968.8
副局长王景阁1961.2-1968.8
副局长刘德元1980.8~1983.2
副局长朱宝峰1980.8~1982.12
副局长杨兰珍1980.8~1982.12
副局长刘玉芳1983.2~
副局长庄闽希1985.3~
副局长夏伯勇1986.11~1987.11
副局长金莹谛1991.3~1992.5
1959.6~1992.12福建省档案馆馆长吴清传(兼)1959.5~1969.8
负责人刘德元1969.8~1980.8
馆长朱宝峰(兼)1980.8~1982.12
馆长刘德元(兼)1984.5~1987.10
馆长夏伯勇(兼)1987.10~1991.12
馆长金莹谛(兼)1992.6~
"} {"image_path": "images/1d2c866a573df0a9ee63b58b2502f024.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测 量 范 围(C°)上 体 长 度 L (mm) 外径(m m)
400300280230
分度值(°C)浸没长度L(mm)分度值(°C)浸没长度L(mm)分度值(°C)浸没长度L(mm)分度值(°C)浸没长度L(mm)
- 30~50170170$\\phi 6\\sim 8$ 双丰选
0 ~500.5或10.5或1
0 ~10011
0 ~15011
0 ~20011
0 ~30022
0 ~40021002100
0 ~50051005100
"} {"image_path": "images/d42b9423ecd6f1afe93593cd039a3a04.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Substance. Temp.℃. Specificsuscepti-bility.$\\chi~\\times~10$^{-6}.$Molecularsuscepti-bility.$\\chi_{M}~\\times~10^{-6}.$ Ionicsuscepti-bility.$x_{Mn++} \\times 10^{-6}.$
Manganese3275·751310513163
acetate7067·301164311701
(anhydrous).12258·881018610244
Manganese3292·181336613400
formate7082·321193611970
(ahydrous).12270·611023810272
Manganese3257·131331113404
lactate7050·081166811761
(anhydrous).12243·901022910323
Manganese3293·211332913357
oxalate7082·941186011888
(anhydrous).12271.501022410252
"} {"image_path": "images/d67619e8f86bf620212f3fedbdffa671.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1身高60708090100
5胸围4245485054
8腹围(腰围)4042454750
14背长(16)(18)202224
2325
16袖长1821252831
19掌围 (a)1112151415
D袖山高 = 原型衣片前后袖窿 × 1.36.46.87.37.67.9
A$\\frac{胸部放松量~-~大身原型胸部放松量}{\\Delta }=\\frac{16-8}{4}$=2
"} {"image_path": "images/d8e1f9f6e773bcde34f8b9f2aceeec86.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Konzentrat.Un-Gefroren bei ——$18^0$
%gefroren2 Stdn.16 Stdn.24 Stdn.31 Stdn.48 Stan.
0.11.0621.0381.0321.012 1.0020.989
0.011.0281.0281.0191.0121.0090.955
0.0011.0191.0121.0091.0071.0030.956
73.6063.5103.4803.2793.259
"} {"image_path": "images/1b2e5cef6c33bab429d32e6857afc5cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项 目单 位允许指标检验方法备 注
1水溶性酸PH≥4.2YS-16-1-84
2酸 值毫克KOH/ 克≤0.1YS-15-1-84
3闪 点 1.不比新油标准低5°C2.不比前次测定值低5°CYS-7-1-84
4机械杂质外观目视
5游离碳外观目视
6水 分YS-12-1-78
7绝缘强度千伏/厘米 ≤15千伏设备≥20YS-29-1-84
20~35千伏设备≥30
44~220千伏设备≥35
330~500千伏设备≥40
8介质损失$\\left(90^{\\circ} \\mathrm{C}\\right)$$\\%$$ \\leqslant 2~~\\left(70^{\\circ} \\mathrm{C}\\right) $YS-30-1-84
"} {"image_path": "images/1be7d8b4c9b528cb2c8fc34a242a878d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
饲料名称比例 (%)饲 料 分 析
项 目比例 (%)
玉 米 粉39.5水 分10.14
小 麦 粉37.3粗蛋白质15.0
豆 饼2.2粗 脂 肪2.0
向日葵粉0.7粗 纤 维3.48
燕 麦10.1粗 灰 分63.12
鱼 粉4.960.94
磷酸氢钙1.010.66
碳 酸 钙1.03附:添加剂稀释方法黄豆粉 88.33%添加剂 10.00%抗球虫药 1.67%合 计 100%
食 盐0.25
稀释添加剂3.0
合 计100
"} {"image_path": "images/e6712ede4eac83eb20617f90e20654f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$原单位^{11)}$營業費(億円)
運送費人件費155 円/km・台53.57
燃料費15 円/km・台5.18
修繕費8 円/km・台2.76
固定資產償却費2,901 円/台・日14.58
保険料491 円/台・日2.47
施設使用料9 円/km・台3.11
施設賦課税2 円/km・台0.69
一般管理費2,939 円/台・日14.77
航送費140,000円/台・回322.56
合計419.69
"} {"image_path": "images/10a35b83e79815d621b664729da6c371.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
购置时间器械、设备名称数量 购置时间器械、设备名称数量
1963年1978年听诊器1个1978年血管钳6把
血压计1个1979年镊子78把
听筒2个持针器2把
胎头吸引器1个1980年1983年弯盘10个
剪子8把妇科检查床1张
贮槽2个磅称1台
消毒缸10个宫颈钳14把
输液器1个把针26个
瘘器60个卵 钳20把
"} {"image_path": "images/bc70f82fd15e255c9f1d186cb26f0a0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地震事件观测系统 发震时刻(北京时间)震中位置震中偏差$~~\\mathrm{D}^{*}$(公里)深度(公里)参加测定资料个数
北纬东 经
1976.7.28区域台网03-42-56$ 39^{\\circ} 38^{\\prime} $$ 118^{\\circ} 11^{\\prime} $11
唐山全国台网03-42-54.239.4° $118.0^{\\circ}$ 3122
7.8ISC03-42-34$ 39.56^{\\circ} $$117.87^{\\circ}$29$^*$$ ^*$ 10 $\\pm 1.3$580
宏观39.6°118.2°510\\pm10
1979.7.9区域台网18-57-23.1$31^\\circ 27.5'$$119^\\circ 15.0'$12
溧阳全国台网18-57-$ 31,408^{\\circ} $119.223^{\\circ}71289
6.0ISC 21.5818-57-2231.45°119.24°1$^*$$ ^*$ 2 $\\pm 3.2$286
宏观$ 31^{\\circ} 27.7^{\\prime} $$ 119^{\\circ} 13.1^{\\prime} $3$ 10\\pm 6.4 $
1977.10.19区域台网10-44-46.4$ 23^{\\circ} 23^{\\prime} $$ 107^{\\circ} 30^{\\prime} $10
平果全国台网10-44-47.923.4° $10^{\\circ}-107.6^{\\circ}$ 93363
5.01SC10-44-49$ 23.37^{\\circ} $107.59932\\pm1257
宏观$23^{\\circ} 23.2$$107^{\\circ} 32^{\\prime} 12^{\\prime \\prime}$3
1977.12.19区域台网00-47-12$ 39^{\\circ} 54^{\\prime } $$ 77^{\\circ} 25^{\\prime } $
伽师全国台网00-47-16.640.0°77.2°2249
6.2ISC00-47-15.8$39.86^{\\circ}$ $77.30^{\\circ}$ 11**21276
宏观$ 39^{\\circ} 53^{\\prime} $$ 77^{\\circ} 30^{\\prime} $728
1975.2.4区域台网19-36-06$ 40^{\\circ} 39^{\\prime} $$ 122^{\\circ} 48^{\\prime } $12
海城全国台网19-36-0540.7° $122.7^{\\circ}$ 1016
7.3ISC19-36-05.8$40.66^{\\circ}$ $122.63^{\\circ}$ 14$^*$$ ^*$ 16 $\\pm 9$395
宏观$ 40^{\\circ} 42^{\\prime} $$ 122^{\\circ} 41^{\\prime } $1120
1976.8.16区域台网22-06-46$ 32^{\\circ} 42^{\\prime} $$ 104^{\\circ} 06^{\\prime} $15
松潘全国台网22-06-46.432.8°*104.3°2324
7.2ISC22-06-45 $32.78^{\\circ}$ $104.09^{\\circ}$ 9$^*$$ ^*$ 10$\\pm 0.6$434
宏观$32^{\\circ} 37^{\\prime}$$104^{\\circ} 08^{\\prime}$109±10
1976.11.7区域台网02-04-05$ 27\\cdot 36^{\\prime} $$101^{\\circ} 05^{\\prime}$19
盐源全国台网02-04-05.427.6° $101.1^{\\circ}$ 821
6.7ISC02-04-06$27.66^{\\circ}$101.04^{\\circ}18$^*$$ ^*$ 9 $\\pm 2.3$366
宏观$ 27\\cdot 27^{\\prime} $$101^{\\circ} 05^{\\prime}$45\\pm14
"} {"image_path": "images/d810bd07950d64b000047a531050a1e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
新面形式
带速(米/秒)带 宽 (毫米)
400500 650800100012001400
$\\frac{Q}{N_{1}+N_{2}} Q$ 一输送量 (吨/小时), $N_{1}$ 一每 $10$ 米长水平功率 (千瓦), $N_{2}$ 一每 $10$ 米高垂直功率 (千瓦)
平形0 . 5$ \\frac{12}{0 . 14+0 . 64} $$ \\frac{20}{0 . 18+1 . 03} $$ \\frac {32}{0 . 29+1 . 67} $
0 . 8$ \\frac{20}{0 . 23+1 . 0} $$ \\frac {31}{0 . 29+1 . 65} $$ \\frac{52}{0 . 46+2 . 67} $
1 . 0$ \\frac{25}{0 . 29+1 . 28} $$ \\frac{40}{0 . 364+2 . 06} $$ \\frac{65}{0 . 58+3 . 34} $$ \\frac{100}{0 . 78+5.15} $$ \\frac{155}{1 . 2+8} $$ \\frac{220}{1 . 58+11 . 2} $$ \\frac{300}{1 . 9+15 . 5} $
1 . 6$ \\frac{62}{0 . 58+3 . 3} $$ \\frac{105}{0 . 94+5 . 35} $$ \\frac{160}{1 . 25+8 . 8} $$ \\frac{250}{1 . 9+12 . 8} $$\\frac{ 60}{2 . 5+19 . 5}$$\\frac{490}{3 . 04+24 . 8}$
2 . 0$\\frac{200}{1 . 56+11 . 0}$$ \\frac{315}{2 . 4+18} $$ \\frac{450}{3.16+24.2} $$ \\frac{610}{3 . 8+31} $
2 . 5$ \\frac{560}{3.95+30.5} $$ \\frac{760}{4 . 75+38 . 8} $
"} {"image_path": "images/78ad881fe29156db547d4e1ebbbc6f62.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
参 考 数 值
X-XY-Y$Y_1-Y_1$$\\frac{Z_0}{\\mathrm{cm}}$
$\\frac{I_x}{\\mathrm{~cm}^4}$$\\frac{i_x}{\\mathrm{cm}}$$\\frac{W_y}{\\mathrm{cm}^3}$$\\frac{I_y}{\\mathrm{cm}^4}$$\\frac{i_y}{\\mathrm{cm}}$$\\frac{I_{v1}}{\\mathrm{cm}^4}$
261.943.558.31.120.91.35
50.7862.45311.8721.18528.381.36
101.33.155.7916.61.2737.41.43
198.33.957.825.61.4154.91.52
391.4664.95310.24237.991.56777.091.59
563.75.5213.0153.21.7107.11.71
609.45.3514.1261.11.67120.61.67
866.26.2816.373.31.83144.11.8
934.56.117.5583.41.82160.81.75
1272.77.0420.0398.61.96189.71.88
1369.96.8421.521111.95210.11.84
1780.47.8624.21282.112442.01
1913.77.6425.88143.62.09268.41.95
2393.98.6728.17157.82.23298.22.1
2571.48.4230.05176.42.21326.32.03
3369.629.82330.607175.5292.243322.2562.065
3530.049.40532.657196.4212.218353.1871.982
3690.459.06535.926218.4152.206384.1331.921
4764.5910.9135.718217.9892.333387.5662.097
5130.4510.637.929242.1442.304427.5892.016
5496.3210.3540.301267.6022.286426.5971.951
7598.0612.4946.473304.7872.502552.312.242
8144.212.1549.157336.3322.471592.9332.158
8690.3311.8852.642374.1752.467643.2992.092
11874.213.9763.544552.73818.42.44
12651.813.6366.85496.72.7880.42.37
13429.413.3670.02536.42.67947.92.34
17577.915.3078.835922.811067.72.49
18644.514.9882.526402.781135.62.44
19711.214.7186.19687.82.751220.72.42
"} {"image_path": "images/c62fbd7d826e4bab808f76c49e5f3a17.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机 床 类 别制造厂或公司型 号中心高(公里)机床修理复杂性类别液压设备修理复杂性类别
普通机造的机床莫洛托夫厂316140103
3B16140103
万能磨床莫斯科机床厂316M150103
莫洛托夫厂313016591
鲁干斯基厂3Γ-128592
3Γ-12M10092
31211093
普通构造的机床莫洛托夫厂3164210143.5
"} {"image_path": "images/b683566564ddd036f808473f643c602c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1$\\boxed{\\quad}^1 \\boxed{\\quad}$
2$\\boxed{\\quad}^2 \\boxed{\\quad}$
3$\\boxed{\\quad}^3 \\boxed{\\quad}$
4$\\boxed{\\quad}^4 \\boxed{\\quad}$
5$\\boxed{\\quad}^5 \\boxed{\\quad}$
6$\\boxed{\\quad}^6 \\boxed{\\quad}$
7$\\boxed{\\quad}^7 \\boxed{\\quad}$
8$\\boxed{\\quad}^8 \\boxed{\\quad}$
9$\\boxed{\\quad}^9 \\boxed{\\quad}$
10$\\boxed{\\quad}^10 \\boxed{\\quad}$
11$\\boxed{\\quad}^11 \\boxed{\\quad}$
12$\\boxed{\\quad}^12 \\boxed{\\quad}$
"} {"image_path": "images/3eb749f863d829d1f700fb052fe47d17.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标名称计量单位1983年1984年1985年
包干指标上交利润额万元146161178
竣工面积万$m^2$15.4016.9418.63
全优工程#%808080
百元工作量含工资总额101010
考核人均利润额874897925
指标人均竣工面$m^2$555658
"} {"image_path": "images/8088c756763b0ece6cd9538623fdc9b6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2007年 摘 要直接材料直接材料燃料及动 力折旧费保险费修理费其 他费 用合 计 转 出余 额
1031耗用原材料7200.007 200.007 200.00
31分配工资费用9200.009 200.0016 400.00
31分配其他人工费用2714.002 714.0019 114.00
31分配动力费用1540.001 540.0020 654.00
31分配折旧费用1220.001 220.0021 874.00
31摊销保险费300.00300.0022 174.00
31支付其他费用1495.00331.001 826.0024 000.00
31交互分配2250.002 250.001 500.0024 750.00
31对外分配24 750.00-0-
1031本月合计7 200.0011 914.003 035.001 200.00300.002 581.0026 250.0026 250.00-0-
"} {"image_path": "images/6daed0013c78e687c757826da80f5a67.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
mirar de reojo la óptica
mirar por algo, alguienla dioptría
mirar por encima del hombrolas gafas
mirar bien a uno de sol
mirar mal a unolos lentes
¡ mira que...!dormir
mirar con el rabillo del ojo dormir al raso, a la intemperie
mirarse en ello dormir a pierna suelta
mirarse mucho dormir como un leño, lirón,postetronco,cesto,ceporro,santobendito
la mirada
de águila
de line dormir como una marmota
miras intencionadas dormirla
estar a la mira dormirse en el Señor
estar bien mirado dormirse en las pajas
dormirse en los laureles
observar dormilón
observador el dormitorio
el observatorioadormecerse
admiraradormilarse
la admiraciondormitar
admiradorecharse la siesta
admirabledar una cabezada
el oculistasoñar
el óptico soñador
"} {"image_path": "images/5c62958af60e54b60b0504f01ff4db4f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
司或局负责人任 期背 景
外交事务栗戡时1911.10.—1913.2.日本法政大学毕业生,谘议局,年龄:32
教 育陈润霖$1911.10.—1912.1.(12 \\rho)$生员 , 日本留学生
吴景鸿$ 1912.1 .(12 \\rho)-1913.3 $长沙教员 , 日本留学生
军 事直到一九一二年一月,许多人担任这个职务 , 几乎所有的都是日本士官学校毕业生。
张其煌1912.1.—1913.1.生员 , 巡防营统领
交 通龙 璋1911.10.—1912.1.见前
龙绂瑞1912.2.—1913.9.龙璋之侄 , 明德学堂董事
司 法洪荣圻1911.10.—长沙法政学校毕业生 ,同盟会
盛 时1912.5.—1913.2.日本法政大学毕业生 , 省高等审判厅厅长 , 年龄:35
实 业杨 榮1912.1.—1912.12.生员 , 现任道台 , 工业创办人
刘承烈1912.12.—1913.9.日本法政大学毕业生 ,年龄: 24
采 矿黄忠绩1911.10.—1913.10.黄忠浩的弟弟 , 采矿业发起人
筹饷局周震鳞1911.9.—1912.8.教员 , 前华兴会成员
"} {"image_path": "images/f53bea5b467df57f0a2c831f80fc2429.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
+++01100第一小区
ΣK
"} {"image_path": "images/ea150b6ef7fdd504c09a032b0ec3b0a1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1957年1965年1978年19 82年
多种经营发达地区
昭盟宁城县25,16323,37434,90939,914
单一农业区
包头市固阳县8,5006,66811,0408,640
山 老 区
乌盟清水河县3,4772,9994,5316,507
贫瘠地区
伊盟东胜县2,0321,5171,9151,928
粮 产 区
巴盟临河县 16,95323,28124,38429,110
城市郊区
呼市郊区8.2628,7909,63012,304
"} {"image_path": "images/441d6a0bcd61a09abfcb7efde12ae7fc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
19贾雨婷园艺1702
1竺中雄21张雅婕
2陈珮珮22万时国
3陈歆慧23余志汇
4曹家乐24谢运芳
5张文成25郭莲
6余文莉26谭志清
7陈国钰27胡海平
8钟嵘28徐文婷
9温永振29陈诗杭
10卢永清30刘海洋
11宁世雄31梅奕阳
12张芊32王艺婷
13王静33王鑫
14曹菲34蓝春明
15张文妍35王祝
16樊友富36谢自鑫
17吕远37虞柯琪
18李菲38奚璇
19项子金39黄蕾
20李钰植保1701
1黄浩伟15刘杰
2曹佳敏16张林霞
3龚云竹17尹美洋
4汪静仪18向上川
5王敏洁19周昕怡
6刘蓉20洪鑫凯
7陈蕾21刘长青
8石钇琦22李进军
9陈睿哲23王晓娜
10易婷24柴钲淏
11蒋州冕25李松宴
12谢晓燕26彭想
13张继龙27王钧申
14张逸凡28严志碗
"} {"image_path": "images/c9d4eb6d59e7cbcf246ae4e3d6b4074c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
考 试 内 容
分 类说 明
(2) 随机文件中记录的添加与删除
(3) 用控件显示和修改随机文件
5. 文件系统控件
(1) 驱动器列表框和目录列表框
(2) 文件列表框
6. 文件基本操作
考 试 方 式
"} {"image_path": "images/cf60baee575a23e4d8a45ab8787644b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
洛 林 煤 矿中 南 煤 田
19731969197019711972197319691970197119721973
99.6043.8044.1044.6044.9044.0080.8078.8064.7057.0048.50
18.742.875.801.705.441.465.361.485.151.534.681.2910.801.9010.941.129.400.989.200.907.700.91
18.742.87 —— ——5.361.485.151.534.681.29 —— ——8.531.788.202.006.821.79
17.9417.94— 5.20—— 4.71—— 4.624.6204.554.5504.074.07— 10.20—— 10.46—— 9.018.140.879.108.001.007.586.700.85
—24.0027.00— 25.00— —22.00 —22.9021.3022.00— 21.00— —22.00 —24.3023.70
1.9916.10 1.4018.00 1.1918.00 1.2719.00 1.2321.100.9821.501.39.500.759.000.708.000.709.000.668.20
"} {"image_path": "images/c4dd10971dcf1ad2689d7ab8beb31e63.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
蘇舜欽 鄭獬王安石李德裕白居易#十五宦游陸蒨胡蓁許德蘊勞紡查若筠徐裕馨徐雲芝俞慶曾
三八O三七九三七九三七八三七八三七七三七七三七七三七六三七六三七六三七六三七五
"} {"image_path": "images/fe57fbb12ebbd9a4347753bfba4b1af7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
體 重(kg)體溫(C)血色素量(%)赤血球總 數(萬)白血球總 數僞「エ」嗜好白 血 球淋 巴 球「エ」嗜 好白血球# 基嗜 好白血球單核球及其 他
分 葉 狀桿 狀小 形大 形
手 術 直 前3.1403.89°74.48766.55020.02.566.53.504.03.5
手 術 後 30 分35.3°72.88762.97527.54.056.52.50.52.56.5
手術後 2 時間(振盪直前)35.5°8444.92532.05.555.03.501.03.0
振 盪 直 後70.49046.02533.53.546.04.501.511.0
振盪15分間後8926.825
振盪30分間後68.08485.60039.53.047.52.003.05.0
振盪 1 時間後68.08985.55046.55.046.02.50.51.03.5
振盪 2 時間後-6.15055.54.529.52.001.07.5
"} {"image_path": "images/4f2eb89d037ff23c5955289a03ddd503.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Lancashire Library Services
30118128814971
PETERSJF
£5.9924-Mar-2014
"} {"image_path": "images/efbcf749b0ceb81bee037d0e7d3b0ccd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(#5-40) 광주군 위성도시 건설협의회 회의 일정 및 참석자
구분제1차 회의제2차 회의
일시1969.5.30-6.2(4일간)1969.6.12
장소내무부 회의실 및 청와대국무총리 비서실
청와대 지방행정국장국무총리실 정무비서관
국무총리실 예산담당비서관서울시 도시계획국장
내무부 지방국장보사부 사회국장
교통부 육운국장경기도 내무국장
보사부 보건국장철도청 경리국장
철도청 경리국장내무부 행정국장
참석자서울시 제1부시장문교부 행정과장
경기도 내무국장경기도 광주군수
경기도 교육위원회 문정과장
"} {"image_path": "images/ca93603015697f35091c23fad10ee3c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
生物学效应真菌毒素抗菌活性生 化 效 应对的细损胞害分裂染色体畸变其 它
抑制DNA合成 DNA链断裂 抑制RNA合成抑制蛋白质合成其 它 生 化 效 应
黄曲霉毒素$B_1$±a+±++++噬菌体诱导畸形
柄曲毒素+-+++
黄天精++-+-抑制磷酸化反应+使酵母突变抗肿瘤
cyclochlorotine抑制糖元新生损伤膜系统+
棒曲霉素+++++抑制需氧呼吸损伤膜系统++
青霉酸++++++
Fusarnenon-X-+--++使酵母突变抗肿瘤
Nivalenol-+--++抗肿瘤
"} {"image_path": "images/4519057cf5479bdc34a3af26ace0b856.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
第二號水平面第五號坐標為標準軸線OY.輪線距離=33·73英尺垂直距離=2·0英尺
坐標號數n坐標長度y辛氏倍数坐標函数ydxOY距離M函数xydxxI函数
0·········${\\!1}/_2$·········5·········5·········
${\\!1}/_2$·322·64$4^{\\!1}/_2$2·88$4^{\\!1}/_2$12·96
11·28$1^{\\!1}/_2$1·9247·68430·76
23·72414·88344·643133·92
38·38216·76233·52267·04
414·96459·84159·84159·84
518·14236·280148·560
616·00464·00161·00164·00
710·62221·24242·48284·96
85·58422·32366·963200·58
92·12$1^{\\!1}/_2$3·18412·72450·88
$9^{\\!1}/_2$·821·60$4^{\\!1}/_2$7·20$4^{\\!1}/_2$32·40
"} {"image_path": "images/b709fd327431c1013ba99356cd854840.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间min05111722273237424752576267停止放出瓦斯82
7277
与顶板的距离(cm)
B0 7574747372706455504540.33631.52624.311
15 7574737269.56659.549464237.532.528242110.5
60 635754.5503724202217161614.5116310
107 1820212121181311109 8.57.56.55.5210
15261216.518191711128.58765.54.5210
C0 7572.57265635227252217.514116.5110
15 71676663573925262119139.555110
60 31363432205.513.51212.596.553.52.5110
10715996106986 5.54321.5[00
15215810.5998744321.51100
D09578761213106 3.5311111[10
1595657014159.5733 1.51.5111110
60445113191610.58.55.54.5 2.52211100
1072810108.5743211t1100
1522651311882.531.51111100
"} {"image_path": "images/96814007e1ce051716507d54e33b3b51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Par-ticle$a_#$$\\tau^n$ratio$x_#$Par-ticle$a_i$$\\tau^n$ratio$x_#$Par-ticle$a_i$$\\tau^n$ratio$x_i$
neutron1.56$\\tau^{-5}(1)$9.07
muon1.30$\\tau^{-1}(1)$5.04
1.00$\\tau^{0}(1)$3.98
$\\pi^\\pm$2.11$\\tau^{0}(2)$3.99
$\\mathrm{K}_L^0$4.36$\\tau^{0}(4)$4.00
$\\Sigma^+$0.89$\\tau^{1}(1)$2.96$\\mathrm{K}_S^0$0.96$\\tau^{1}(1)$2.97$\\Omega^-$1.44$\\tau^{1}(1)$3.06
${\\Sigma^-}$1.65$\\tau^{1}(2)$2.94$\\Xi^-$1.84$\\tau^{1}(2)$2.97$\\Lambda$2.79$\\tau^{1}(2)$3.05
$\\Xi^{0}$3.36$\\tau^{1}(4)$2.95
$\\Sigma^0$<2.1$\\tau^{3}(1)$<1.131980年代中国足球甲级联赛
$\\pi^0$2.17$\\tau^{4}(2)$0
"} {"image_path": "images/13a66f374e675768e34e8305f9657c69.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标名称化学纯
氢氧化钾(KOH)(%)>80
碳酸盐(以 $\\mathrm{K}_{2} \\mathrm{CO}_{3}$ 计)(%)<3
氯化物(Cl) (%)<0.025
硫酸盐 $\\left(\\mathrm{SO}_{4}\\right)$ (%) <0.01
氮化合物(N) (%)<0.001
磷酸盐 $\\left(\\mathrm{PO}_{4}\\right)$(%)<0.01
硅酸盐 $\\left(\\mathrm{SiO}_{3}\\right)$ :(%)<0.1
钠(Na)(%)<2
钙(Ca)(%)<0.02
铁(Fe)(%)<0.002
重金属(以 $\\mathrm{Ag}$ 计)(%)<0.003
澄清度试验合格
"} {"image_path": "images/dee2b62826302279da5b067bb4cfdbec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类型特 征 出 土 地 点数量时代资料出处(见注释)备注
FFa龙首长形河北平山县三汲村中山国王墓1战国
Fb双龙首长形广东广州西汉南越王墓2西汉
河北定州刘焉墓1东汉
Fc浮雕螭纹长形河北邢台刘迁墓1西汉
GGa素面四棱体河南信阳长台关楚墓M11战国
河南淮阳平粮台M161同上
广东肇庆北岭松山M11同上
安徽寿县赵家老孤堆1同上
湖南长沙砂子塘1西汉
Gb凸弦纹四棱体河北临城中羊泉1战国
HHa素面琵琶形湖北随县曾侯乙墓2战国
江苏徐州铜山小龟山1西汉
安徽天长西汉 M11同上
甘肃武威雷台1东汉
湖北汉阳蔡甸—号墓1魏晋
Hb饰纹琵琶形湖北随县曾侯乙墓2战国
河北满城汉墓 M11西汉
江苏徐州钢山小龟山1同上
Hc小型琵琶形河南陕县东周秦汉墓M30251同上
河北满城汉墓 M22同上
陕西西安陈请士墓M1701同上
山东巨野红土山西汉墓1同上
湖南长沙砂子塘西汉墓1同上
"} {"image_path": "images/b1d9167cebdd2b74417ba03cbd09189a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.Loading regimesMeasure of damage calculated atthe moment of fracture from Eqs.
$\\mathrm{σ}$,MPa$\\tau_{\\mathrm{nor}},\\ \\mathrm{h}$$\\tau_{\\mathrm{dev}},\\mathrm{h}$No.ofcompletelcycles$\\tau_{n},\\ \\mathrm{h}$(1)(7)(15)
13402123110,440.690.89
24001223100,880.820.97
34001212531,200,70$0.90(0.96^{\\circ})$
44001212211,000,68$0,83(0,97^{\\circ})$
Mean value $\\mathbf{n}_{\\mathfrak{m}}$0,880,72$0,90(0,95^{\\circ})$
$+\\Delta\\Pi$0,320.100,07
$-\\Delta\\Pi$0,440,040,07
"} {"image_path": "images/71f45e097c052293e7ea61bcbc328735.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
體 重(kg)體溫(C)血色素量(%)赤血球總 數(萬)白血球總 數偽[x]嗜好白 血 球淋 巴 球 [x]嗜 好白血球鹽 基嗜 好白血球 單核球及其 他
分業狀桿 状
手 術 直 前2.76039.0°88.88518.07526.02.067.500.51.52.5
手 術 後 30 分-35.5°86.410307.05048.03.545.00.50.51.01.5
手術後2時間(振盪直前)-36.7°92.493410.35074.07.016.01.500.51.0
振 盪 直 後--104.0116216.72571.05.519.50.501.02.5
振盪15分間後---109014.275-------
振盪30分間後--92.0108214.30065.03.526.02.002.56.0
振盪1時間後--93.210807.65051.57.034.52.001.53.5
振盪2時間後--92.8108611.57561.08.026.50.501.53.0
振盪4時間後--104.010925.20055.04.533.01.002.54.0
振盪6時間後-38.1°92.410988.82567.56.521.51.500.52.5
振盪24時間後2.74038.7°90.496014.42574.54.015.51.002.03.0
振盪48時間後2.72038.8°96.07927.77556.52.530.01.003.56.5
振盈第 5 日 目2.67039.5^{\\circ}91.29549.20075.54.013.01.002.54.0
"} {"image_path": "images/0720eabe9031fd0b6e2c78a599c6f752.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
聚 合 物軟化点(℃)$〔\\eta〕 \\cdot 10^{3}$比 重溶 解 度
乙 醇正庚烷甲 苯
聚丙烯:
同构结晶体158~1702.490.92---
无定形物750.550.85+++
聚異丁烯:
同构结晶体125~1301.200.91---
无定形物650.350.87+++
"} {"image_path": "images/5600630c6cd807a0628299e6eca41dc6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$r_{1·}$$r_{2·}$$\\overbrace{\\text{Inner.}\\quad\\text{Outer.}}$
·172·2258 9.1
·255·3425·7 6·0
·132·16610·4 12·0
·133·16410·4 12·0
·158·2048·9 10·0
·166·2148·4 9·5
·141·1969·6 10·3
"} {"image_path": "images/484b4226c570c7c3a12e95538e39f963.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
London GravisNewYork GravisLeeds GravisBerlin Gravis
Cc. ofCul-tureIn-jectedUnits ofLondonAnti-toxinInjectedResultCc. ofCul-tureIn-jectedUnits ofNew YorkAnti-toxinInjectedResultCe. ofCul-tureIn-jeetedUnits ofLeedsAnti-toxinInjectedResultCc. ofCul-tureIn-jeetedUnits ofBerlinAnti-toxinInjectedResult
10.1D on8th day10.1L10.1D on3d day10.1D on2d day
10.3L10.3L10.3T10.3L
10.5L10.5L10.5L10.5L
11.0L11.0L
Units ofPark 8AntitoxinInjectedUnits ofPark 8AntitoxinInjectedUnits ofPark 8AntitoxinInjectedUnits ofPark 8AntitoxinInjected
10.5D on6th day10.1D on2d day10.1D on3d day10.1 D on2d day
10.7D on4th day10.3L10.3D on4th day10.3D on3d day
11.0L10.5L10.5L10.5L
11.0L
1Control D on2d day1Control D on2d day1Control D on2d day1Control D on2d day
"} {"image_path": "images/d3999a6ec050e9434881eb3671601fb7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
KBr 86
$NaNO_3$83
$KNO_3$ 82
$Sr(NO_3)_2$72
$AgNO_3$ 81
$K_2SO_4$ 72
$MgSO_4$ 45
$ZnSO_4$ 41
$CuSO_4$40
$NaC_2H_3O_2$79
$Cd(NO_3)_2$N56
$CdBr_2$ N16
$HgCl_2$01
$Hg(CN)_2$ A trace
"} {"image_path": "images/146a87ba46115f0297be669bc61f023c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
研究者受试者减少疾病的百分比
格莱兹布鲁克和汤姆森(1942)50
考恩、迪尔,贝克(1942)31
戴勃格、莫格尔、瑞丁(1944)14
富兰兹、赛恩兹,黑尔(1954)36
安德森等(1975)25
列泽尔等(1961)63
安德森瑞德彼顿(1972)32
查理斯顿,克来格(1972)58
埃里特(1973)44
安德森、萨来叶,彼顿(1974)9
柯里汉等(1974)30
赛彼斯顿和雷顿斯基(1974)68
卡罗斯基等(1975)21
克来格和麦克唐纳得(1975)8
彼特和柯斯却尼(1979)0
卡尔等(1981)48
平均34
"} {"image_path": "images/fedbbb58119c54b27191116b27d75da5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
星期强度星期一星期二星期三星期四星期五星期六星期日
保持
"} {"image_path": "images/4f692990035d1787645e3185b4e2f3b6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.JudulMetodeHasil
1\"Financial Public relations :StudiProgram Financial PR
studi kasus fungsi PRKasusberhubungan erat dengan
Consultancy Indo-Ad Publicproses penawaran umum dan
Relatons dalam program \"gohambatan yang dialami Indo-
public P.P. HanjayaAd Public Relatons
Mandala Sampoerna\"menyangkut segi teknis
dalam persiapan dan
pelaksanaan IPO/penawaran
umum
2“Analisis deskriptif peranStudiPT Bank Mandiri Persero
dan fungsi Investor relationsKasusTbk. menjalankan kegiatan
dalam menjaga harga sahamInvestor relations secara
emiten(Studi pada Investorrutin. Mereka percaya bahwa
relations Grup PT. Bankdengan menunjukkan
Mandiri Persero Tbk padapeforma kinenja yang baik
masa krisis ekonomi globalmaka harga sahamnya dapat
Tahun 2008)\"terjaga dengan baik.
"} {"image_path": "images/06d0d19beadf02721b65596041ea17f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号投资控制目标动态控制情况项目预计投资额投资控制比例备 注
分项内容投资控制目标调整投资控制目标 已签合同额变更情况
已发生变更费用后期变更预估费用
6市政工程1 192 0001 192 000971 059001 007 059
7其中:用电增容592 000592 000371 05900371059
8热力管网600 000600 000600 00000600 000
9供水工程0036 0000036 000
工程建设其他费2 022 0591 620 5121 411 0111 411 011批复投资中含非代建人节省费用约40万元
预备费663 676663 676273 411273 411
总 计13 937 132 13 221 51012 159 82492%
投资控制状态投资可控的 \"绿色安全状态\"
"} {"image_path": "images/4a5fa5e146a6d0820ef08552b841ba94.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
评审题目与评价指标权重(%)综合评定分值标准评分(分)
四、经济分析情况综合评价21
1.投资估算的准确性情况5误差小于5%;(5分)误差小于10%;(4分)误差小于20%;(3分)误差在20%以上(0分)
2. 产品成本估算依据可靠性情况4全面论证;(4分) 较全面论证;(3分)简单论证;(2分)未论证(0分)
3. 销售收入估算的可靠性情况4充分论证,预测可靠;(4分)比较充分论证;(3分)一般论证;(2分)未论证(0分)
4. 效益估算的可靠性情况4充分论证:(4分)比较充分论证;(3分)一般论证;(2分)未论证(0分)
5.资金筹措情况4充分论证;(4分)比较全面论证;(3分)简要论证;(2分)未论证(0分)
五、项目风险分析情况综合评价12
1. 经营风险分析情况3全面论证并提出应对措施;(3分)比较全面论证和提出应对措施;(2分)部分论证;(l分)论证很不全面(0分)
"} {"image_path": "images/fa42a1a539e014f3c683a99205946e9b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IonConcen-tration(wt%)Surface products
TungstenMolybdenumTantalum
$\\mathrm{Pb}^{2+}$0.1$\\mathrm{PbWO}_4$$\\mathrm{PbMoO}_4$N. D.
$\\mathrm{Cu}^{2+}$1.0CuN. D.N. D.
$\\mathrm{Cr}^{3+}$1.0N. D.N. D.N. D.
$\\mathrm{Cd}^{2+}$1.0N. D.N. D.N. D.
$\\mathrm{Ag}^+$1.0AgAgN. D.
$\\mathrm{Pb}^{2+}, \\mathrm{Cu}^{2+}$0.1 resp.N. D.$\\mathrm{PbMoO}_4$N. D.
$\\mathrm{Cr}^{3+}, \\mathrm{Cd}^{2+}$
"} {"image_path": "images/4a2541a8a41caa695846458e4d1cc0d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PhaseDiffusingelementTemp.,°CEnergy ofactiva-tion,cal/mole$\\mathrm{D}, \\mathrm{cm}^{2} / \\mathrm{sec} $$D, \\quad \\text{cm}^2/\\text{sec}$ Temperature depend-ence of diffusion coeffD, $ \\mathrm{~cm}^{2} / \\mathrm{sec}$
WWHfHf21002500162000$\\begin{array}{c}6,2\\cdot10^{-12}\\\\4,0\\cdot10^{-11}\\end{array}$8,7$8,7 \\exp \\left(-\\frac{162000}{R T}\\right)$
HfCHfCWW21002500103000$\\begin{array}{c}3,2\\cdot10^{-11}\\\\5,7\\cdot10^{-10}\\end{array}$$3,8.10^{-2}$$3,8 \\cdot 10^{-2} \\exp \\left(-\\frac{103000}{R T}\\right)$
WWWTiTiTi190022002450118000$\\begin{matrix}0,1\\cdot10^{-10}\\\\1,6\\cdot10^{-10}\\\\24\\cdot10^{-10}\\end{matrix}$8,2$8,2\\exp\\left(-\\frac{118000}{RT}\\right)$
TiCTiCTiCWWW190022002450110000$\\begin{smallmatrix}0,56\\cdot10^{-10}\\\\3,2\\cdot10^{-10}\\\\66,5\\cdot10^{-10}\\end{smallmatrix}$2,9 $2,9\\exp\\left(-\\frac{110000}{R T}\\right)$
WWWZrZrZr19002200245098000$\\begin{array}{c}{0,83\\cdot10^{-10}}\\\\{27,8\\cdot10^{-10}}\\\\{292,2\\cdot10^{-10}}\\end{array}$1,67$\\textbf{1,67 exp}\\left(-\\frac{98000}{RT}\\right)$
ZrCZrCZrCWWW190022002450106000$\\begin{array}{c}{0,26\\cdot10^{-10}}\\\\{7,41\\cdot10^{-10}}\\\\{41,2\\cdot10^{-10}}\\end{array}$0,19$0\\:,19\\:\\exp\\:\\left(-\\frac{10600}{RT}\\right)$
"} {"image_path": "images/cbe31711904ba28da85ee59adc3d1adf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指 标压 縮 机 油
MTMK光亮油料
100°时的粘度,恩氏度1.7-2.22.3-3.03.153.7
閃点溫度,$\\underset{\\triangle}{^\\circ\\mathrm{C}}$,不低于218240245275
凝固点,$^{\\circ} C,不低于---14-10
酸度,每克油所需的毫克 $\\mathrm{KOH}$ 数,
不大于0.150.150.1
結焦性,%,不大于--0.71.0
灰份,% ,不大于0.030.030.904
"} {"image_path": "images/7b222cafb497a4620d1fd5fb8126c183.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
研 究 步 骤 研究步骤的目的
问 题证 据结 论
研究的断口在宏观断口上的位置
覆层、杂质
结 构 关 系( 穿品/沿晶 )
不均匀性( 夹杂、孔洞 )
断口特征( 蜂窝、梅花形、解面或劳条带 )
二次裂纹
其它
其它的研究工作目 的可靠的结果与证据
"} {"image_path": "images/490d70b0f00e31f0643e00bd57683a96.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
總計結無果形不停明顿或求 要 方 資
承未認經接一受部接全受部
"} {"image_path": "images/07bfae103bde4dde97df746d97dc3b99.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\text{③ ばかり}$$\\text{④ だけ}$用法接近的
程度、限定限定、程度$\\begin{aligned} &\\text{① = くらい} \\\\ &\\text{② = ほど} \\\\ &\\text{③ = ばかり} \\\\ &\\text{④ = だけ} \\end{aligned}$
同一或同类主体、事物、行为, 在某种范围内进行。肯定性限定。后续动词。 限定范围, 否定其他。否定性限定。还表示程度、强调、比例。
大致的数量左右; 大约; 差不多(有限制)限定数量只 (有)(可以)①-②-③
(不可以)(不可以)(可以)(不可以)$ \\begin{aligned} & \\text { ①-④ } \\\\ & \\text { ②-③ } \\end{aligned} $
限定、程度只有; 一点; 净是(とれ以外可以)(不可以)限定、程度 (高、低)只有; 一点; 这么多; 相应(可以)(不可以)①-②②-④③-④
较低程度, 小幅度一点; 一些限定范围只$\\begin{aligned} &\\text{①—③} \\\\ &\\text{③—④} \\end{aligned}$
限定 (多次出现的事物)只; 净; 尽; 可限定、程度(强调)只; 那么(高)$ \\begin{array}{l}\\text { ①-② } \\\\ \\text { ③-④ }\\end{array} $
(可以)(可以)①-③-④
限定、程度只; 象…那样; 几乎限定、程度只; 足够; 相应$ \\begin{array}{l}\\text { ①-② } \\\\ \\text { ③-④ }\\end{array} $
格 + ばかり 少见ぼかり + 格 多见格 + だけ 多见だけ + 格 多见(不可替换)
"} {"image_path": "images/10c5a50d636c4b95f45377d29c970851.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Rightsarerespected9998 You areforbiddento marry969595 94939291
818283848586Youcan vote8889 Deniedthe rightto legalaid
You canvisit yourrelativesabroad797877767574737271
6162636465666768 You arehomeless70
60595857565554535251
4142434445464748 Youmaynot useyour ownlanguage50
40393837363534333231
You cansay whatyou thinkDenied theright tomeet as agroup2324252627282930
2019181Nobodycantortureyou1514 Youhave afair trial12 Youcan go toschool
112345678910
"} {"image_path": "images/b51a89526aac1388641a2efde58076b5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
病理診断血培养診断:毒血症主要病变:实质器官营养不良性病变,内脏充血,水肿及灶性坏死,紆維性血栓。診断:敗血症主要病变:除同左的病变外有末梢血管内外炎症細胞聚集,感染性脾肿等不同程度的炎症反应。診断:敗血症主要病变:除同左的病变外有細菌性栓塞或多发性化脓灶。合計
abc小計abc小計abc小計
濒死或死后才阳性11445
多次培养仅間或阳性111
交替检出不同細菌111123
持續检出相同細菌112122514512
化驗不全111123
共 計3253741414524
"} {"image_path": "images/f20c734c00b8d61a735ba939e4b552c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
"} {"image_path": "images/fc59738ce11b13aa08a0efe6c6d119f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Born October 30, 1927 Batted right, threw right
Year. Club.League.Pos.G.AB.R. H. 2B.3B.HR.RBI.B.A.
1947—ColumbiaSally1B732803574115743.264
1948—ColumbiaSally1B11743458121252664.279
1949—TulsaTex.1B1495989517841719116.298
1950—CincinnatiNat.OF-1B10237246109161855.293
1951-CincinnatiNat.OF11339540961641047.243
1952-Cincinnati $\\ddagger$Nat.OF-1B117378431052241352.278
1953-MilwaukeeNat.1B157590711683361880.285
1954-MilwaukeeNat.1B133500731542752387.308
1955-Milwaukee $\\S$Nat.1B8428840761401545.264
1956-MilwaukeeNat.1B1374547613223138103.291
1957-Milwaukee (x)Nat.1B6520931601321238.287
1958-MilwaukeeNat.1B-OF10532040881511954.275
1959-MilwaukeeNat.1B-OF115404531181922576.292
1960-MilwaukeeNat.1B138514551532142591.298
1961-MilwaukeeNat.1B1525627716020035108.285
1962-Milwaukee (y)Nat.1B12139148971212978.248
1963-Cleveland (z)Amer.1B972832871711349.251
1964-Los AngelesAmer.1B11836639981302164.268
1965- CaliforniaAmer.1B12234930841031848.273
1966-CaliforniaAmer.1B8223133631401447.241
American League Totals419122913031644466208.257
National League Totals15395377693151625131270914.282
Major League Totals19586606 823183229535 353361122.277
"} {"image_path": "images/65dc028d9616c03cc47d5be7fc8b458e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
加量 老化密度AVPVYP$\\text{FL}_{\\text{API}}$
%$ \\text{g·cm}^{-3} $mPa·smPa·sPamL
钻屑52.356958110
2.356350130
102.357564110
2.357056140
152.358168130
2.357564110
202.3510391120
2.359480140
${CaCl_{2}}$1.22.356858101.0
2.356155100
1.42.356756111.0
2.356155100
1.62.357158121.8
2.356453110.4
1.82.357461132.2
2.356652140.8
2.02.358166152.8
2.3572.55418.51.4
2.22.3510778294.6
2.3597.56928.53.0
"} {"image_path": "images/be940fc94737e6de103ceb46b6bea1f1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
茶素對於心智及運動過程之影響
過 程試 驗 项 目少 量中 量大 量作用時間( 小時 )持續時間( 小時 )
運 動 速 率1. 輕 叩刺 激刺 激刺 激$^3/_4$—1$^1/_2$2—4
同 等Coordination2. 三 洞Three Hole刺 激無彩響遲 緩1—1 $^1/_2$3—4
3. 打字a 速率b.錯誤刺 激無影響遲 ' 緩結果僅以全日之工作表示
一切藥量均較少
聯 想4. 辨 色刺 激刺 激刺 激2—2 $^1/_2$3—4
5. 反 面刺 激刺 激刺 激2' $^1/_2$—3次 日
6.計 算刺 激刺 激刺 激2 $^1/_2$次 日
選 擇7.區別及反應時間遲 緩無彩響刺 激2—4次 日
8. # 銷遲 緩?刺 激3—5無資料
9. 形量之幻覺無影響無彩響無影響⋯⋯⋯⋯⋯⋯⋯⋯
一 般 狀 況10. 羅 定?不 穩 定1—33—4
11. 睡眠之質個 別 之 差 異
12. 睡眠之量⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯2 ?⋯⋯⋯⋯
13. 一般之健康視體重及用藥情形而定
"} {"image_path": "images/c6feb290fce2200aa5dc846ead43545f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号工作活动名称工作活动内容工作活动结果时间消耗备注
1复印复印文件4 张6 分钟存档
2起草公文
3参加会议
4接待
"} {"image_path": "images/d423f5b40cc94aa1719d161b98350db4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
单位1952196519781983 1983年比下列年度增长 %
19521978
一、广播电视:
广播电台转播台8112629262.511.5
电视台、转播台225221...784.0
县广播站34758611,9335.2
农村放大站...5491,2461,265...1.5
广播专用线万公里...5.113.210.2...- 22.7
二、体育事业:
体育场491013235.030.0
体育馆461213125.08.3
运动场......1423...64.3
游泳池2628574469.2- 22.8
灯光球场2456743,60032.1
优秀运动员...③419672745...10.9
少年业余体校......99104...5.1
专业教练......333773...132.1
"} {"image_path": "images/909f34d751d5b2d90f4d1a5c850281c0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
行政责任刑事责任
行政处罚行政处分
责令改正罚款吊销会计从业资格证书其他处分形式
违反会计制度规定(1) 单位: 3 000 元以上 5 万元以下(2) 责任人: 2 000 元以上 2 万元以下情节严重的警 告、 记 过、记大过、降级、撤职、留用察看和开除等
伪造、变造会计凭证、会计账簿,编制虚假财务会计报告×(1) 单位: 5 000 元以上 10 万元以下(2) 责任人: 3 000 元以上 5 万元以下撤职直至开除
隐匿或者故意销毁依法应当保存的会计凭证、会计账簿、财务会计报告×(1) 单位: 5 000 元以上 10 万元以下(2) 责任人: 3 000 元以上 5 万元以下撤职直至开除
授意、指使、强令会计机构、会计人员及其他人员伪造、变造会计凭证、会计账簿,编制虚假财务会计报告或隐匿、故意销毁依法应当保存的会计凭证、会计账簿、财务会计报告×5 000 元以上 5 万元以下×降级、撤职、开除
"} {"image_path": "images/61452f15679c438feaf3ed2de56b633a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
热量 . . . . . . . . . . . 12 千 卡
胆固醇 . . . . . . . . . . . . . —
膳食纤维 . . . . . . . . 0.2 克
三大营养素蛋白质 . . . . . . . . . . . 1.8 克
脂肪 . . . . . . . . . . . . . 0.5 克
碳水化合物 . . . . . . . 1.2 克
矿物质钙 . . . . . . . . . . . 148 毫 克
铁 . . . . . . . . . . . . 1.2 毫 克
磷 . . . . . . . . . . . . . 58 毫 克
钾 . . . . . . . . . . . 110 毫 克
钠 . . . . . . . . . . . . . 89 毫 克
铜 . . . . . . . . . . 0.06 毫 克
镁 . . . . . . . . . . . . 22 毫 克
锌 . . . . . . . . . . . 0.4 毫 克
硒 . . . . . . . . . . . 0.79 微 克
维生素维生素 $B_1$ . . . . . 0.04 毫 克
维生素 $B_2$ . . . . . 0.07 毫 克
维生素 $B_6$ . . . . . 0.08 毫 克
维生素 $B_{12}$ . . . . . . . . . —
维生素 E . . . . . . . 0.88 毫 克
维生素 A . . . . . . . . . 3 微克
烟酸 . . . . . . . . . . . 0.3 毫 克
叶酸 . . . . . . . . . . . 66 微 克
维生素 C . . . . . . . 12 毫 克
胡萝卜素 . . . . . 0.02 毫 克
泛酸 . . . . . . . . . 0.17 毫 克
生物素 . . . . . . . . . . . . . —
维生素 K . . . . . . . . 33 微 克
"} {"image_path": "images/616a651727815c78c48be2eec0cafcb1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号矿床样 号测试矿物、岩石$\\delta^{13}\\text{C}_{\\text{PDB}}$(‰)$\\delta^{18}\\text{O}_{\\text{SMOW}}$(‰)资料来源
1大锅厂D-32石英中流体包裹体-2.4+1.2(1)
2D-9闪锌矿中流体包裹体-12.5+12.4
3呷村ZK 1205-33石英中流体包裹体+3.5-1.0(2)
4ZK 1205-28石英中流体包裹体+2.5+10.3
5Tc27-2石英中流体包裹体-4.2-9.0
6Tc3-15重晶石中流体包裹体-13.1+7.3
7Tc1-7重晶石中流体包裹体-16.1+4.0
820-11石英中流体包裹体+2.2+8.6(1)
920-5闪锌矿中流体包裹体-6.3+3.3
10老厂Lc-42方解石-4.98+8.9(1)
11Lc-43方解石-5.84+9.4
12Lc-42菱铁矿-1.76+15.6
13Lc-44菱铁矿-2.14+17.1
14Lc1925-9黄铁矿中流体包裹体-4.62+6.4
15Lc1925-12闪锌矿中流体包裹体-4.15+4.8
16Lc1925-17闪锌矿中流体包裹体-3.45-3.4
17金顶PBT-1方解石脉-20.95+23.63(3)
18 JPTW-3方解石脉-6.13+23.59
19JPTW-4方解石脉-18.00+23.33
20TY209巨晶方解石-11.88+22.36
21TY207节壳状方解石-24.37+23.22
22TY208菊花状方解石-24.52+23.71
23杠日隆Tz-3菱铁矿-4.9+15.7(4)
24Tz-3方解石-1.1+10.35
25Tz-3白云石-1.1+10.03
26Tz-1中下三叠统灰岩+1.5+13.2
27Tz-2中下三叠统灰岩+2.2+16.9
28Tz4-1中下三叠统灰岩+1.0+17.1
29纳交系Tz-20方解石+1.3+13.6(4)
30Tz-20菱锌矿-8.8+17.3
31Tz-11菱锌矿-7.4+22.9
32Tz-10中寒武统灰岩+2.3+20.86
33Tz-13中寒武统灰岩+1.4+20.35
34Tz-14中寒武统灰岩+0.9+18.9
35Tz-16中寒武统灰岩+1.1+18.9
"} {"image_path": "images/c0250e5355449047769220d72f514964.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓 名性别出生年月文化程度政治面貌入伍时间党内职务行政职务工会职务起 讫 年 月
郑德惕主席$ 1960\\cdot 4\\sim 1969\\cdot 8 $
周 国主席$1969 \\cdot 8 \\sim 1975 \\cdot 6$
罗树声1932·初中党员1953·8秘书主席$1975 \\cdot 6 \\sim 1985 \\cdot 3$
张友文1957·9中专团员1980·7副 段 长主席$ 1985\\cdot 3\\sim 1986\\cdot 3 $
侯灵芝1964·中专团员1983.7干部副主席1986.3~1987·3
郭光吉1937·初中党员$ 1958\\cdot 4 $段长主席1987.3 ~
"} {"image_path": "images/8e00c9dd7f619ed4bb0b4e06aefa47ea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
症 例年 龄161718192021
調查時期病名
1中O 進慢 性 扁 桃 腺 炎A38A3736A3632T3127
2住O美O\"A3838A313635T3527
3手O友O\"3839A3835A353834
4川O 巧\"A40403734303226
5山 O 榮 O\"34A3435A32A3733A3325
6湯 O 一 O\"A3235A32T29272517
7手O 武\"3636A37843333323235
8梨 O 正 O\"3232A30312932
9山 O 新 O\"3232T312726A2623
10大 O 初 O\"29313928293228
11天 O 讓 O\"37A333732313525
12高 O 孝 O\"26A19202323T2722
13松 O 武 O\"222422A22T252328
14中O 清慢性扁桃腺炎兼慢性鼻炎45474340384131
15美 O 藤 O\"36383632A2824
16天 O 平 O\"36A343434323225
17岡 O 住 O慢 性 鼻 炎34A363535312628
18古 O 春 O\"3930333335
19堀 O 哲 O扁 桃 腺 肥 大342422201717
20淀 O 照 O\"2924242326
21村 O 光 O疾 患 ナ シ2230A28A29292618
第 1 乃 至 第 18 例’ 體 質 指 數 平 均 值853331282929
"} {"image_path": "images/072b81b258e3d584a77a24c563c2026c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份进 口 出 口
食品动力原材料、半制品制 成 品食 品动 力原材料、半制品制 成 品
設 备消费品設 备消费品
193829.519.240.94.85.614.31.946.39.028.5
194631.511.838.611.56.619.22.431.611.035.8
194726.714.740.913.34.414.31.731.012.440.6
194831.417.839.38.13.411.75.434.913.934.1
194929.019.939.68.43.112.66.235.914.031.3
195029.315.340.110.05.314.96.038.312.728.1
195122.816.448.27.45.212.56.041.713.626.2
195225.419.842.97.84.111.18.338.915.326.4
195326.417.542.59.54.111.18.441.413.925.2
195426.817.542.58.54.713.67.339.413.925.8
195524.717.143.59.55.114.87.540.113.823.8
195624.217.742.39.94.314.06.938.814.723.5
195721.820.042.111.33.915.05.737.215.825.2
195825.319.739.112.23.713.06.334.917.728.1
195923.619.824.3①32.311.84.88.2①75.2
196020.417.024.2①38.413.23.98.4①74.5
"} {"image_path": "images/89816f5ffa22f734c8837892fcd93899.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工作#$\\alpha(°)$齿背角$\\beta(°)$$~~~~~~~~~齿密$$[齿/(25.4m~m)^2]$$~~~~~~~~~~~N$$~~齿密 $(齿/c$m^1$)$~~~~N^1$适 用 条 件
804539862
754039862
805856087
754155487
663255185
663244869
753744869
803023937
755563599 长绒棉,锡 林 速 度180-r/min
754163599
754044870$~~~~再生纤维,适应锡林速度$较广。中等级棉,锡林速#~220r/min。配用${XL}_\\#$钢
"} {"image_path": "images/44f5604c51bd82b4867d92d7c9eb121d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检 查 部 位检 查 项 目周 期维修检查要领 (在下栏记录检查有无异常)
一小时立刻或一天一周一月一年随时
控制装置安全装置火焰检测器确 认 动 作O确定用手动关闭主燃料阀,关闭灭火的安全切断闭
测定周围温度O保持能用手摸机器时的温度 (60°以下)
清扫滤光器玻璃O用柔软的布擦
压力限制器确 认 动 作O压力停止时检查是正常或是不振动
缺水切断器(浮动式、电极式)确 认 动 作OO● 参照栏外
检查机器及连接部位O根据机器的结构检查漏泄、松驰、损坏等其要点
卸 开 检 修O确定定期性能检查时根据前要适当卸开检修,装配后机能。
其它的安全装置确定动作及拆卸检修O适宜各种机器的特性
控 制 盘确 定 电 灯O日常注意检查如果是异状要记录下来
确定开关位置O日常注意检查是否在所规定的范围
电 气 配 线接头及继电器触点黑状O日常注意检查,是否有松弛和损坏
其它排气监视装置排 气 浓 度O监视排气状态,确认燃烧是否正常燃烧时,进行水位检测器的排除,打开给水泵,报井、切断低水位,在各种所规定的水位确定是否动作。还有,决定每周星期日进行一次切断燃烧系统(或燃烧中负责人到场),进行主体排除,逐渐降低水位,打开给火泵和报井,确定在规定的水位的动作。
"} {"image_path": "images/7ac613c4c5af609fab176465da1e6111.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号 主 要 技 术 参 数 外形尺寸(cm) 重量(kg)
抽气速率$\\mathrm{L} /$ ) 极限真空(Torr) 极 限总压强(Torr) 电动机功 率(kW) 温升(℃) 噪声dB(A) 进气口径$(\\mathrm{mm})$ 转 速$(\\mathrm{r} / \\mathrm{min})$ 用油量(L) 适用电磁阀 型 号 冷却水 量(L/min)
关气镇 开气镇
2X-2A2$ \\leq 5\\times 10^{-4} $$\\leqslant 8 \\times 10^{-3}$0.37≤40≤65254500.7DDC-JQ-2556×30×4153
2X-4A4$ \\leq 5\\times 10^{-4} $$ \\leqslant 8\\times 10^{-3} $0.55≤40≤65254501DDC-JQ-2556×34×4155
2X-88$ \\leq 5\\times 10^{-4} $$\\leqslant 5 \\times 10^{-3}$$ \\leqslant 8\\times 10^{-3} $1.1≤40≤70403202DDC-JQ4079×43×54158
2X-1515$ \\leq 5\\times 10^{-4} $$\\leqslant 5 \\times 10^{-3}$$\\leqslant 8 \\times 10^{-3}$2;2≤40≤75403202.8DDC-JQ4079×53×54202
2X-30A30$\\leqslant 5 \\times 10^{-4}$$ \\leqslant 1 \\times 10^{-2} $$ \\sim 5 \\times 10^{-3} $3≤40$ \\begin{gather} \\leq 78 \\\\ ( \\sim 70) \\end{gather} $654502DDC-JQ65>78×50×56236
2X-70A70$\\leqslant 5 \\times 10^{-4}$$\\leqslant 1 \\times 10^{-2}$$ \\sim 5 \\times 10^{-3} $5.5≤40$ \\begin{gather} \\leq 80 \\\\ ( \\sim 75) \\end{gather} $804 04.2DDC-JQ80>291×65×70338
"} {"image_path": "images/c921969d8fdaaca27e6bc6846828573a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
mitogen丝裂原
monoclonal antibodyMcAb单克隆抗体
monocyte单核细胞
monokine单核因子
mononuclear phagocyte systemMPS单核吞噬细胞系统
mononucleosis syndrome单核细胞增多综合征
mucosa - associated lymphoid tissueMALT粘膜相关淋巴组织
multiple allele复等位基因
multiple myeloma多发性骨髓瘤
naive B cell初始 B 细胞
naive T cell初始 T 细胞
natural killer cellNK自然杀伤细胞
negative selection阴性选择
non - specific immunity非特异性免疫
nude mouse裸鼠
nurse cell 抚育细胞
opsonization 调理作用
oral vaccine in transgenic plants 转基因植物口服疫苗
outer cortex浅皮质区
papain木瓜蛋白酶
paracrine旁分泌
pepsin胃蛋白酶
perforin穿孔素
peripheral blood mononuclear cellPBMC外周血单个核细胞
peripheral immune organ外周免疫器官
Peyer's patch派氏集合淋巴结
phagocyte吞噬细胞
phenotype表型
phytohemagglutininPHA植物血凝素
pinocytosis胞饮
plasma cell浆细胞
plasmocyte dyserasias浆细胞恶性增生病
pleuipotent stem cell 多能干细胞
polyclonal antibodyPcAb 多克隆抗体
polygenic多基因性
polymorphism多态性
positive selection阳性选择
primary immune response初次免疫应答
primary immunodeficiency diseasePIDD原发性免疫缺陷病
proteasome蛋白酶体
radioinmunoassay放射免疫测定法
"} {"image_path": "images/f22f4ca95f855ae44c77f5be36e0bb55.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
V、I
0T
"} {"image_path": "images/8470b7531ee61f6cb18b69174238151c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
岩 石 名 称主 要 成 分,%
粗 砂細 砂粘 土
粗砂岩类
粗砂岩80$-$100$-$0$-$20
帶細粒粗砂岩50$-$8010$-$500$-$10
頁質粗砂岩50$-$800$-$1010$-$50
頁質帶細粒粗砂岩50$-$8010$-$2510$-$40
帶細粒頁質粗砂岩50$-$8010$-$4010$-$25
細砂与粘土之和不大于20%
細砂岩类
細砂岩0$-$1080$-$1000$-$10
帶粗粒细砂岩10$-$5050$-$800$-$10
頁質細砂岩0$-$1050$-$8010$-$50
帶细粒頁質細砂岩10$-$4050$-$8010$-$25
頁質帶粗粒細砂岩10$-$2550$-$8010$-$40
粗砂与粘土之和不大于20%
"} {"image_path": "images/a6567472c07be7cb15de527ac94a4696.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一九六六年一九六七年备注
计划预计实际计划预计实际
78876328702282406986
350026952228163365525282
38004795525448555202
850960115211811134
7317996561147728
134151158170170
216211212235226
1700018691193362130319006
86548682874090648982
1580014718138081582114.133
303303310315305
51817000680076815856
2.392.52.522.72.06
1.76
"} {"image_path": "images/d7c933250c0b355cbc00d737370910f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电 网(千伏) 短 路容 量(兆伏安)直 接 试 验 容 量
三 相两 相栏 4 等价于三相*单 相栏 6 等价于三相*
兆伏安%兆伏安%兆伏安兆伏安%兆伏安
123456- 7
73514,0006,300(7,200)454,200(5,500)309,7002,43017.35,000
31514,0005,25037.53,500258,1002,000144,000
23010,0003,000302,000204,0001,10011.62,320
"} {"image_path": "images/ad3a6f9343838966846e770b8e5c2ea5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
取 檢 日 期攝氏 37° 培養48點鐘後發生腐氣之 百 分 率攝氏 37°C培養48點鐘每公撮內發育雑菌 數
5 c. c.1 c. c.
239113010980
239208060952
九月份平均5535966
2310116030740
23102450450
十月份平均32.515595
231157050680
231167060數目過多
2311104035870
2311228070760
231128205258
十一月份平均5644642
2312117060140
2312193520150
十二月份平均52.540145
总 平 均4933.5587
附註此井於九月底將井壁用一,二洋灰砂子鋪抹二吋厚,于十月二日竣工,於十月五日起採取水樣作細菌檢驗結果,大腸菌仍然存在,雜菌數亦不見減低。
"} {"image_path": "images/460cd8a62abb1ef9b49e99e51d29dd3b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
凭证号摘 要成 本 项 目产量 单位成本
直接材料直接工资其 他直接费制造费用合计
在产品结存224 70010 500235 2002 100112.00
结转培育成本480 000480 0004 94097.17
288支付委托费25 52025 5204 9405.17
1012结转产成品471 50023 630 495 1304 640 106.71
2820在产品结存233 20012 390245 5902 400102.33
"} {"image_path": "images/25e1cc89a50b88ea5b12a280b4bb8cd7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$d_{obs}$rhkl $d_{calc}$
6.2331016.20
4.562020 4.57
4.513012 4.51
3.886200 3.87
3.682121 3.68
3.6312013.62
3.4210223.43
3.1011033.15
2.950101132.980
2202.952
2122.935
2.73011312.733
2.62370322.626
"} {"image_path": "images/d4d49af5494248c87dec6d6476440cd5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
YI层子组成$J^{P}=0^{-}$$J^{P}=1^{-}$
01$\\bar{u} d, \\frac{u \\bar{u}-\\bar{d} d}{\\sqrt{2}}, \\bar{d} u$$\\pi^{-}, \\pi^{0}, \\pi^{+}$$\\rho^{-}, \\rho^{0}, \\rho^{+}$八重态
1$\\frac{1}{2}$$\\bar{s}d,$ $\\bar{s} u$$K^0,K^+$$K^{* 0}, K^{*+}$
- 1$\\frac{1}{2}$$\\bar{u}s,$ $\\bar{d} s$$K^-,\\bar{K}^0$$\\mathrm{K}^{*-}, \\overline{\\mathrm{K}}^{* 0}$
00$\\frac{\\bar{u} u+\\bar{d} d+2s \\bar{s}}{\\sqrt{6}}$$\\eta(549)$
00$\\frac{\\bar{u} u+d \\bar{d}}{\\sqrt{2}}$$\\omega(783)$
00$\\frac{\\bar{u} u+\\bar{d} d+s \\bar{s}}{\\sqrt{3}}$$\\eta^{\\prime}(958)$单态
00 $s\\bar{s}$$\\phi (1020)$
"} {"image_path": "images/b6393eb2cbbffcf9a5d54168d77b44ab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
dh圆 柱 头 螺 钉、半 圆 头 螺 钉沉 头 螺 钉情况1情况2情况3
(CB65-76)(CB67-76)r≤L(GB68-76)
DHtDHtRDHtb≤L 当E≥$L_{0}$ 当L≤$L_0$当L≤$L_{0}$
30.851.915.52.41.42.80.23~8061.70.90.20.24~80 252022=L50允许=L
4172.51.473.21.83.50.44~807.521.10.250.256~80282025
51.28.531.793.82.24.50.45~8092.5-1.20.58~80302528
61.5103.5210.54.52.55.30.48~801131.50.50.510~80322530
8212.552.51363.26.50.410~8015420.514~80353032
102.51563167.53.880.512~80184.82.50.818~80403038
1231873.518.594.29.30.618~85225.82.50.818~85453540
(14)32183.521104.510.50.625~90256.53122~90453540
#164249424115120.630~95297.53.5125~95504045
(18)427104.52712.55.513.50.8$35 \\sim 110$3284130~110554550
20430114.53014615#0.8$ 40\\sim 120 $941$ 35\\sim 120 $605055
"} {"image_path": "images/663fd6a890be99c5da3592b77839de20.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
縣 名测驗數平 均 數縣 名測驗數平 均 數
黃 縣2187.5歷 城10182.2
濰 縣13187.078183.62
8181.12臨 淄5191.8
高 密2178蒲 台2186.5
安 邱7192.71濱 縣2177.5
$_女$2188博 興5182.4
壽 光3195商 河3170.69
沂 水2188恩 縣3178.33
臨 $沂_女$5185.8平 原3185
泰 安6184.5章 $邱_女$2178
$_女$3184.33濟 甯2182.5
"} {"image_path": "images/9216cf2010a4e6b52ea7bb2ed6b8579f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Basic variables$x_1$$x_2$$x_3$$x_4$$x_5$$b_i$$b_i/a_{is}$,$a_{is}>0$
$x_4$1$\\boxed{2}$-11033/2
$x_5$211011010
-f-1-5-3000
Most negative,$x_2$ enters the basisSmallest $b_i/a_{is},a_{is}> 0 $$x_4$ leaves the basis
"} {"image_path": "images/e3255ec1d2359a8712ab674f25674294.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测 站视准点水准尺读数高差改正数改正后高差高程备注
后视前视
0876( 黑 )
1BM.A5661( 红 )- 0.2490.004- 0.02517.698 红 面 尺读 数 作 为检 核 $\\Sigma ~h_测$= - 0.020m
2110061125- 0.3120.004- 0.30817.453
57925911
32141013180.4720.004- 0.46817.145
61966103
43132909380.0950.0040.09917.621
61195724
5415401234- 0.0260.004- 0.02217.720
63266024
BM.A156017.698
6352
"} {"image_path": "images/c515c0746d778751d68f4cbe1dce274f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$r_1$$b_1$$b_2$$r_2$$b_3$$r_3$$b_4$w
1111117
111114
113
112
11
512222317
$5r_{1}+2r_{2}+2r_{3}=17-b_{1}-2b_{2}-2b_{3}-3b_{4}$
"} {"image_path": "images/fa72766235094388698bea1f43db45aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机架序号轧辊直径$\\mathrm{mm}$线数电机功率kW电机转速,r/min速比轧辊转速,r/min
基本最高基本最高
1600450040080010048
2600450040080081.54.919.82
360047506001200906.6713.3
46004750600120067.58.8917.8
560041200600120050.511.923.8
64804120050010002420.841.6
748041200500100017.328.957.8
8480414506001200154080
9480412005001000955.5111
104804145060012007.976152
114804120050010005100200
123754145060012003.4176353
133754120050010002.15233465
143754145060012002300600
153754120050010001.4357714
"} {"image_path": "images/275dcf6d78ae2bf84b508deed836f76b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
被开方数a0123456789
75.4.2174.2194.2214.2234.2254.2274.2284.2304.2324.234
76.4.2364.2384.2404.2414.2434.2454.2474.2494.2514.252
77.4.2544.2564.2584.2604.2624.2644.2654.2674.2694.271
78.4.273 4.2744.2764.2784.2804.2824.2844.2854.2874.289
79.4.2914.2934.2944.2964.2984.3004.3024.3034.3054.307
80.4.3094.3114.3124.3144.3164.3184.3204.3214.3234.325
81.4.3274.3294.3304.3324.3344.3364.3374.3394.3414.343
82.4.3444.3464.3484.3504.3524.3534.3554.3554.3594.360
83.4.3624.3644.3664.3674.3694.3714.3734.3744.3764.378
84.4.3804.3814.3834.3854.3864.3884.3904.3924.3934.395
85.4.3974.3994.4004.4024.4044.4054.4074.4094.4114.412
86.4.4144.4164.4174.4194.4214.4234.4244.4264.4284.429
87.4.4314.4334.4344.4364.4384.4404.4414.4434.4454.446
88.4.4484.4504.4514.4534.4554.4564.4564.4604.4614.463
89.4.4654.4664.4684.4704.4714.4734.4754.4764.4784.480
90.4.4864.4834.4854.4864.4884.4904.4914.4934.4954.496
91.4.4984.5004.5014.5034.5054.5064.5084.5094.5114.513
92.4.5144.5164.5184.5194.5214.5234.5244.5264.5274.529
93.4.5314.5324.5344.5364.5374.5394.5404.5424.5444.545
94.4.5474.5484.5504.5524.5534.5554.5564.5584.5604.561
95.4.5634.5654.5664.5684.5694.5714.5724.5744.5764.577
96.4.5794.5804.5824.5844.5854.5874.588 4.5904.5924.593
97.4.5954.5964.5984.5994.6014.6034.6044.6064.6074.609
98.4.6104.6124.6144.6154.6174.6184.6204.6214.6234.625
99.4.6264.6284.6294.9314.6324.6344.6354.6374.6384.640
被开方数a0123456789
"} {"image_path": "images/929c699e14be870b42154b62d1e00822.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号T 45-15103-53
胶 带 宽 度 (毫米)500800
输 送 长 度 (米)1515
输 送 速 度(米/秒)2.51.6
输 送 能 力 $(米^3/小时)$262160
电 机 功 率 (千瓦)4.57.5
输 送 高 度 (米)5.225.4
"} {"image_path": "images/c9516c8a1fa9bda18db703ce544a1ebc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\eta _{1}$ $\\eta _{2}$ m(all times in msec)Alg.302 Alg.380IWRK=0Alg.380IWRK=($n_{1}+n_{2}$)/2XPOSNWORK=0XPOSNWORK=($n_{1}+n_{2}$)/2
$T_{1}$$T_{2}$$T_{3}$$T_{4}$$T_{5}$$T_{1}/T_{4}$$T_{2}/T_{4}$$T_{3}/T_{5}$
455013.173350317167133672,622,382,50
45602699558123117901006,201,371,17
4650112.19367339217106833,463,212,60
466031.89425350250133833,192,633,00
475034.2938337826772675,185,234,00
47602819483127133901005,361,411,33
451807.13.89120010508165173002,252,032,72
45200899917674084162833006,251,441,39
4618017.487181612335832672676,414,632,19
46200919917005084173833174,441,331,32
4718011·769145011336673832673,782,962,50
472003.13·241983115010675504671,692,092,29
"} {"image_path": "images/f833a6c9b5a30ecb57238c3c69ddb6c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1. Tertiär2. Kreide
stroboidessucciniferumsewardi
cembraeformismikroporosumnathorsti
zobelianumbaumaniscituatensiformis
fallaxvateriprotoscleropitys
parryoidesroesslericuisinese
paxiimosquensisthomasi
taedioidesinsigne
parenchymatosumhelicoidale
pinastroidessp. Kräusel 1919 a
columbianumsp. ORTMANN 1922
hebridense (?)sp. Rudolph 1933
"} {"image_path": "images/727c287a67fa3dbb8835a2bac1692e8f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
中古聲符的讀音中古舌尖音聲母原始漢語 *k-l-
合 yâp答 tâp
見 kien-# thien:*$\\mathrm{kh}-1-$
鬼 kjwěi-𦞙 tuâi:*k-l-
敢 kâm:𠪚 thâm:*$\\mathrm{kh}-1-$
敢 kâm: 澉 thâm-*$\\mathrm{kh}-1-$
君 kjuən涒 thuən*$\\mathrm{kh}-1-$
去 khjw$o^-$(原始漢語 $*$khyaps)魼 thâp*$\\mathrm{kh}-1-$
古 kuo:# tuo:*k-l-
丂 khâu:饕 thâu*$\\mathrm{kh}-1-$
果 kuâ:䂺 duâ*g-l-
"} {"image_path": "images/eae651dd1db57de47d43a67edcb4caba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AzideIonPresent,Mg.Azide $(N_3)$Found,Mg.RelativeError,%
0 . 500 . 46-8 . 0
1 . 001 . 04+4 . 0
1 . 001 . 01+1 . 0
2 . 002 . 01+0 . 5
3 . 503 . 40-2 . 9
3 . 603 . 49-3 . 1
4 . 003 . 88-3 . 0
Mean-1 . 6
Standard deviation3 . 9
"} {"image_path": "images/ceb1b8882c493f9debd3ec0d95690ba2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\alpha$$U_{0}$$U_{\\mathrm{I}}$$U_{\\mathrm{TOT}}$$U_{\\mathrm{p}}$
(a) Tetragonal lattice energies $\\left(n \\mu^{2} P_{2}(\\gamma)\\right)$
0·94.6542-0.7063.94263.8807
1·04.18880.00504.19384.1888
1·23.49060.94084.43144.4275
1·42.99201.50364.49564.4921
1·6$2 \\cdot 6180$1.89534.51334.5099
1·82.32712.19024.51734.5149
(b) Hexagonal lattice energies $\\left(n \\mu^{2} P_{2}(\\gamma)\\right)$
1·43.45492.0505.50525.4811
1·63.02302.4915.51465.5069
1.633296192.55335.51525.5088
1·82.68712.8295.51625.5142
2·0$2 \\cdot 4184$3.09835.51725.5171
α
\\beta 1.0 1.2 1.4 1.6 1.8
"} {"image_path": "images/38b7a7f020fc625804fc7996f6207bdf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
抗原/半抗原测定类型a酶b交联剂c$分离方法d$ 灵 敏 度
触珠蛋白1AP$G_1$SP : PT2 微克分子/升
B型肝炎表面抗原3P$G_2$SP : PP3 微克/升
${\\text{IgE}}$1AP$G_1$SP : PT10微克/升
${\\text{IgG}}$1AP$G_1$SP : CL25微克/升
1AP$G_1$SP : PT1 微克/升
1P$G_2$SP : PA10毫克/升
1P$G_2$SA : SP : PA0.2毫克/升
1P$G_2$SP : CP0.2毫克/升
2GO$G_1$SP : CP50微克/升
3PSBSP : AG50微克/升
3BGDMSP : AG0.4毫微克
3 eBGDMSP : AG50微微克
胰岛素1AP$G_1$SP : PT75单位/升
1GA$G_1$SP : DX0.3毫单位/升
1BGDMSP:DX0.2毫单位/升
1BGMBSSA0.5微单位
1PSBSP : PT5 毫单位/升
冶盘催乳素1PGSA : SP : CL2 毫微克
孕娠相关a - 巨球蛋白3P$G_1$SP : PT0.2毫克/升
孕酮1BGCDISA : SP : CP0.15毫微克
促甲状腺素1AP$G_1$SA10毫单位/升
霍乱外毒素4AP$G_1$SP : PT90微克/升
脂多糖4AP$G_1$SP : PT1.3毫克/升
血清白蛋白1GAFNPSSP : AG
癌胚抗原1AP$G_1$SP : PT20微克/升
HCG1P$G_1$SP : CL1000国际单位/升
1P$G_1$SA : SP : CL100国际单位/升
1PTDCSP : AG
2PTDCSP : AG
1P$G_1 / G_2$SA : SP : CL10国际单位/升
2P$G_1$SP : AG200国际单位/升
"} {"image_path": "images/cdb9a2a22e5462016479158b7657828f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AminepK$E^{1}/_{2}(1),$v,$E^{1}/_{2}(2),$v.Log plot
Pyridine5.4-0.320-0.212
Ammonia9.3-.706.700Straight line,.049 v.
Monoethanol-amine9.4-.752-.637.051v.
Ethylenedi-amine9.9- $.76^a$- $.650^b$Not a straight line
Diethylamine11.0-$1.22^a$-.735
"} {"image_path": "images/164d91fb318ea406197fde1109ed70ba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
所 有 # # 别5反##5反-1町1-3町3-5町5-10町10-50町50町以上
東北型明 41年192,386110,271137,66138,31615,7715,(27516
昭和 6 225 754127 3 125 37434,91314,8275,430 633
增 減 (+)17%(+)16%(-)8%(-)8 (-)6 (-) 3%(+)22%
畿型明治41年288,665135 3727 ,48314,1285,8432 01197
昭和 6 年309,492134,23576,76111,2944 6391,38959
增減率(+)10%(-) 1%(-) 3%(-)20%(-)20%(-)31%(-)41%
"} {"image_path": "images/ed8dbfc5311760359d71de0ddabe6ac4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
心育总目标埃里克森人格发展关键期 活动模块及阶段目标 活动专题 积极心理品质发展重点适用年级
1. 提高全体学生的心理素质2. 充分开发学生的潜能3. 培养学生乐观、向上的心理品质培养勤奋进取精神的关键时期发展顺利则个体具有求学、处世、待人的基本能力活动模块一 我上学了阶段目标:培养小学1 ~3年级学生良好的学习习惯与行为习惯,提高入学适应性我能 “ 喜欢新学校 ” 爱校小 学 一 年级 , 以 一年级( 上 )学期为主
我能 “ 亲近新老师 ” 亲师
我能 “上课守纪律 ” 遵纪
我能 “ 排队守规则 ” 守规
我能 “ 倾听不插嘴 ” 倾听
我能 “ 整理小书包 ” 自理
活动模块二 培养习惯阶段目标:继续培养小学1 ~ 3 年级学生良好的学习习惯与行为习惯,让学生进一步适应学校生活我能 “ 作业写得快 ” 勤学小 学 一 、二 年 级,以 一 年 级(下)学期为主
我能 “ 分清 ‘ 借 ’和 ‘ 拿 ’ ” 知耻
我能 “ 出口不伤人 ” 和悦
我能\"如厕讲公德\" 良心
我能\"对人多赞扬\" 赏识
我能\"告别'小太阳', 克己
活动模块三 全神贯注阶段目标:训练和发展小学 1 ~ 3 年级学生的注意力,提高他们的注意力品质我能\"不看窗外事\" 注意选择性小 学 一 、二 年 级,以 二 年 级( 上 )学期为主
我能 “ 坚持不分心 ” 注意稳定性
我能 “ 做事有主次 ” 注意计划性
我能 “ 捡三不落四 ” 注意分配性
我能 “ 转向新目标 ” 注意转移性
我能 “ 作业更细心 ” 注意策略性
活动模块四 火眼金睛阶段目标:训练和发展小学 1 ~ 3 年级学生的观察力,提高他们的观察力品质我能 “ 观察有目的 ” 观察目的性小 学 一 、二、 三 年级,以二年级 ( 下 )学期为主
我能 “ 观察有重点 ” 观察选择性
我能 “ 观察有顺序 ” 观察条理性
我能 “ 观察很仔细 ” 观察准确性
我能 “ 观察更持久 ” 观察持久性
我能 “ 观察更全面 ” 观察全面性
"} {"image_path": "images/ce0d86f3cf102ff335a9573646bde8b9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
popf
LEABX,BIO1
MOVCX, 0001
MOV DX, 0000
MOVAL, DRIVER
pushf
INT26H
popf
leabx, bio l
mov al, driver
movex, 0001
movdx, fat
pushf
int26h
popf
MOVAX, FAT
anddx, 00
movcl, byteptra
andch, 0
SUBAX,WORDTRB
DIVcx
movcl,k1
cmpcl,6
jnbd32
MOV $\\mathrm{CX}, 0003$
MULCX
MOVCX, 0002
movdx, 00h
DIVCX
jmpos
d32:
movcx, 2
mulcx
os:
MOVK, DL
MOVCX, 512
movdx, 00h
DIVCX
MOVFAT, DX
"} {"image_path": "images/ee700f04145567aa59e23be565c4f0ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
侦 查 终 结移送其他检察年末未结造成重伤造成死亡侦结认定金额挽回经济损失
合计移送起诉移送不起诉撤销起诉
万元万元
70107354635325692371053.71680.50
3423111214.00
2211111214.00
1212
2634111312141929849.21849.21 490.00
18266812111617349.21
3333
1
5522332500.00500.00 490.00
10148101233190.50190.50 190.50
464511190.50190.50 190.50
22222
1212
341123
305413192215334114
17344522112718
132091446334
111121
"} {"image_path": "images/5c5611a0102e526976f08c18cfd3e4e7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
部 别设 备 名 称数 量备 注
电 力 厂三〇〇 KVA 发电机一 部
一〇〇 KVA 柴油发电机一 部
二八〇 马力蒸气机一 部
水管式锅炉 二 座
纯 铁 炼 厂( 第 一 厂 )转窑一 座美国制
煤气发生炉一 座
磁力选矿机一 座
碎矿机三 座
滚筒磨矿机二 座
筛矿机一 座
合 金 钢 厂( 第 三 厂 )二五〇 KVA 高周波感应电炉全 套美国制
熔铁炉一 座自 制
混砂炉一 座
三吨吊车一 座
五吨吊车一 座
试砂设备一 套
"} {"image_path": "images/e9ebf783f7cbea8fd82f8f231102c997.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号$$d_{0}$$尺 寸 及 允 许 偏 差 (毫米)截面的计 算面 积$\\text{(厘米}^2\\text{)}$理论重量(公斤/米)
内 径 d外 径 $$d_{1}$$螺纹筋高 h纵筋高 $$h_{1}$$间 距 l纵筋宽 a螺纹筋宽 br
计 算 直 径(毫米)标准尺寸允许偏差标准尺寸允许偏差标准尺寸允许偏差标准尺寸允许偏差标准尺寸允许偏差标准尺寸允许偏差标准尺寸允许 偏差
87.5±0.49.0+1.3-1.00.75+0.5-0.250.75+0.5-0.255±0.51.25±0.50.75+0.5-0.251.10.5020.50270.395
109.311.3+2.5-1.51.00+1.0-0.51.00+1.0-0.571.50±1.01.00+0.7-0.31.50.7850.78540.617
121113.01.001.0072.001.001.91.1311.1310.888
141315.51.251.2572.001.001.91.5391.5391.21
161517.51.251.2582.001.0+1.0-0.52.22.0112.0111.58
181720.01.501.5082.001.52.22.5452.5452.00
2019±0.4522.01.501.5082.001.52.23.1423.1422.47
22211.501.5082.001.52.23.8013.8012.98
252427.01.501.5082.001.52.24.913.85
2826.5±0.5530.5+3.5-2.22.0+1.5-0.752.0+1.5-0.7592.5±1.51.53.06.1584.83
3230.534.52.02.0103.02.03.08.0426.31
3634.539.52.52.5123.02.03.57.99
4038.543.52.52.5123.02.03.512.579.87
"} {"image_path": "images/fac4637e647bbb7de9efe762248e3bd0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
U.T.$\\text{R.A. (1932·0).}$N.Decl.
Aug. $10^{\\mathrm{d}}$23 h$7^m$$18^8$$3^{\\mathrm{h}}$$11^{\\mathrm{m}}$$35 \\cdot 25^{\\mathrm{s}}$38°27’27·6\"
1123422431454·4141811·2
1223211531825·16434515·8
132339532222·52462735·7
"} {"image_path": "images/e91013982f38dd1ed58f2cfc447dc8a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
第 十 四 表無色透明之玻璃之光譜透過界限
玻璃之種類屈折率透過界限 (A.U.)
普通之玻璃2950
輕冕號玻璃1.512950
極輕冕號玻璃1.542980
中冕號玻璃1.523000
輕火石玻璃1.573050
中火石玻璃1.623150
極重火石玻璃1.693350
$\\underline{蕭特}$公司重火石玻璃3400
"} {"image_path": "images/12f7a07712f042fc5e548b579ccd41b7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
腐 蝕 介 質 試驗延續時間(小时)化学稳定性能附 注
名 称浓 度 (%)温度 ( ℃ )
酸 钠 鈉209072耐 蝕
碳 酸 鈉106072耐 蝕
氢 氧 化 鈉10202880不 耐 蝕
醋 酸6020~6072耐 蝕
\" \"604072耐 蝕
\" \"9020172耐 蝕
草 酸210072耐 蝕
草 酸28072耐 蝕
\" \"820192耐 蝕
檸 檬 酸$2 \\sim 6$$80 \\sim 100$72耐 蝕
6 6 6 合成液$\\text{Cl}_2 = 1\\sim 2\\%$$50 \\sim 80$72耐 蝕
$ \\mathrm{HCl}\\text{液体}=0.2\\% $
6 6 6 = 30%
苯 = 68%
漂 白 粉 含次氯酸鈣、氯化鈣$\\mathrm{Ca}(\\mathrm{OH})_{2}$ 、碳酸鈣、90720耐 蝕
盐酸、次氯酸、$\\mathbf{C O}_2$ 、$ \\text{Cl}_2$ 、空气
氯 乙 醇 $7 \\%(\\mathrm{HCl} 5 \\%)$10072比較耐蝕
乙 醇52072耐 蝕
"} {"image_path": "images/98b6286f01a77a9121d63d054ca9dc05.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0$ \\frac{1}{2} $1
K β
K $ \\frac{3\\beta+1}{4} $$ \\frac{4\\beta+1}{8} $
"} {"image_path": "images/8cb202c49e37b08fd988f847e018b424.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
利尿剂塞嗪类吲达帕胺(indapamide)
氢氯噻嗪(hydrochlorthiazide)
氯噻酮(chlorthatidone)
样利尿剂呋塞米(furosemide)
保钾类螺内酯(spironolactone)
氨苯喋啶(triamterene)
阿米洛利(amiloride)
交惑神迎抑制剂β受体阻离剂普萘洛尔(propranolol)
美托洛尔(metoprolol)
阿替洛尔(atenolol)
倍他洛尔(betaxolol)
比索洛尔(bisoprolol)
卡维地洛(carvedilol)
拉贝洛尔(labetalol)
α受体阻滞剂哌唑嗪(prazosin)
特拉唑嗪(terazosin)
制剂中枢]:兴奋剂甲基多巴(甲多巴)
可乐定(氯压定)
胍那苄醋酸盐(wytens)
盐酸胍法辛
钙通道距滞剂维拉帕米(verapamil)
地尔硫卓(diltiazem)
硝苯地平(nifedipine)
尼卡地平(nicardipine)
尼群地平(nitrendipine)
非洛地平(felodipine)
氨氯地平(amlodipine)
拉西地平(lucidine)
ACE(血管紧张素转换酶)抑制剂卡托普利(captopril)
依那普利(enalapril)
贝那普利(benazapril)
赖诺普利(lisinopril)
雷米普利Ramipril)
福辛普利(fosinopril)
西拉普利(cilazapril)
培哚普利(perindopril)
血管紧张素受体阻滞剂洛沙坦(losartan)
撒沙坦(valsartan)
伊贝沙坦(irbesartan)
"} {"image_path": "images/866d56287ac497d378223be4f82784eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
bacd
41421201
"} {"image_path": "images/7b0128fe93b721fd67988bea12c6538b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PortionCaloriesTotalFatDietaryFiberTransFatGuide
Chicken, nuggets, 5 piece1 serv.230160T[hy:图片]
Chicken sandwich, breaded1 serv.440182T[hy:图片]
Chicken sandwich, club1 serv.470202T[hy:图片]
Chicken sandwich, grilled1 serv.31082T[hy:图片]
Chicken sandwich, spicy1 serv.410152T[hy:图片]
Condiments, dressing, French2 tbsp.120100[hy:图片]
Condiments, dressing, French, fat free2 tbsp.3500
Condiments, dressing, Hidden Valley Ranch2 tbsp.100100[hy:图片]
Condiments, dressing, HiddenValley Ranch, reduced fat2 tbsp.6050[hy:图片]
Condiments, dressing, Italian caesar2 tbsp.150160T[hy:图片]
Condiments, dressing, Italian, reduced fat2 tbsp.4030[hy:图片]
Condiments, dressing, blue cheese2 tbsp.180190[hy:图片]
Condiments, dressing, caesar vinaigrette1 tbsp.7070[hy:图片]
Condiments, dressing, thousand island2 tbsp.9080[hy:图片]
Condiments, sauce, barbecue1 pkt.4500
Condiments, sauce, garden ranch1 tbsp.5050[hy:图片]
Condiments, sauce, honey mustard1 pkt.130120[hy:图片]
Condiments, sauce, spicy buffalo wing1 pkt.2510T[hy:图片]
Condiments, sauce, sweet & sour1 pkt.5000
Dessert, Frosty, large1 serv.540140[hy:图片]
Dessert, Frosty, medium1 serv.440110[hy:图片]
Dessert, Frosty, small1 serv.33080[hy:图片]
Dessert, cookie, chocolate chip1 serv.270131T[hy:图片]
French fries, Biggie1 serv.470236T[hy:图片]
French fries, Great Biggie1 serv.570277T[hy:图片]
French fries, medium1 serv.390195T[hy:图片]
French fries, small1 serv.270133T[hy:图片]
Pita, fresh stuffed, garden ranch chicken1 serv.480185[hy:图片]
Pita, fresh stuffed, garden veggie1 serv.400175[hy:图片]
Pita, fresh stuffed, chicken caesar1 serv.490184[hy:图片]
Pita, fresh stuffed, classic Greek1 serv.440204[hy:图片]
Potato, baked, bacon & cheese1 serv.53017T[hy:图片]
Potato, baked, broccoli & cheese1 serv.470149T[hy:图片]
Potato, baked, cheese1 serv.570237T[hy:图片]
Potato, baked, chili & cheese1 serv.630249T[hy:图片]
Potato, baked, plain1 serv.22007[hy:图片]
Potato, baked, sour cream & chives1 serv.38068[hy:图片]
Salad, caesar side w/out dressing1 serv.10041T[hy:图片]
Salad, deluxe garden w/out dressing1 serv.11063[hy:图片]
Salad, grilled chicken caesar1 serv.26092T[hy:图片]
Salad, grilled chicken w/out dressing1 serv.20083T[hy:图片]
Salad, side w/out dressing1 serv.6032[hy:图片]
Salad, taco w/out dressing1 serv.380197T[hy:图片]
Side, breadstick, soft1 serv.13031T[hy:图片]
Side, chili, small1 serv.21075[hy:图片]
"} {"image_path": "images/b2f05b7b129694249a34b1bc19ea98e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号技术方向技术与应用重要性综合指数实现时间研发水平目前领先国家/地区制约因素
社会技术
中国世界中国第一位第二位第一位第二位
4机器人自主行为技术80.8620292023202616.50美国日本人才研发
5工业多机器人智能协作技术77.6620262021202421.82美国欧盟人才研发
6生物3D打印技术76.4320292023202631.13美国欧盟人才研发
7复合材料与复合结构3D打印技术79.5320282022202525.00美国欧盟研发人才
8传感器融合感知测量技术79.4420252020202323.02美国欧盟研发人才
9MEMS 单片集成工艺与 IC工艺高度融合85.9820262019202410.00美国欧盟人才工业
10流程工业全流程智能制造78.3520282022202531.54欧盟美国研发人才
"} {"image_path": "images/94212362620c51da4b648ab3c8ba1283.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号材料名称规格及型号单位含税价(元)不含税价(元)备注
20天然花岗石20mm 黄锈石(山东)$\\mathrm{m^2}$130.00115.041.按石材规格板光面和火烧面综合考虑的。2.未包括磨边、倒角、拉槽等加工费用。3.未包括自然面、荔枝面、剁斧面、酸洗面、蘑菇面等表面处理费用。
2130mm 黄锈石(山东)$\\mathrm{m^2}$155.00137.17
2250mm 黄锈石(山东)$\\mathrm{m^2}$190.00168.14
2320mm 天山红(新疆)$\\mathrm{m^2}$125.00110.62
2430mm 天山红(新疆)$\\mathrm{m^2}$170.00150.44
2520mm 中国黑(河北)$\\mathrm{m^2}$135.00119.47
2630mm 中国黑(河北)$\\mathrm{m^2}$185.00163.72
2750mm 中国黑(河北)$\\mathrm{m^2}$240.00212.39
28人造花岗石15mm 浅草绿$\\mathrm{m^2}$205.00181.42
2915mm 贝壳白$\\mathrm{m^2}$225.00199.12
3015mm 金晶米黄$\\mathrm{m^2}$205.00181.42
3115mm 白玉$\\mathrm{m^2}$225.00199.12
3215mm 蓝星$\\mathrm{m^2}$225.00199.12
3315mm 宝云构$\\mathrm{m^2}$225.00199.12
3415mm 珍珠米黄$\\mathrm{m^2}$225.00199.12
3515mm 加州金麻$\\mathrm{m^2}$225.00199.12
3615mm 水晶白$\\mathrm{m^2}$225.00199.12
37人造大理石15mm 金花米黄$\\mathrm{m^2}$245.00216.81
3815mm 紫罗红$\\mathrm{m^2}$235.00207.96
3915mm 爵士白$\\mathrm{m^2}$235.00207.96
4015mm 中花白$\\mathrm{m^2}$235.00207.96
4115mm 黑金花$\\mathrm{m^2}$235.00207.96
4215mm 莎安娜$\\mathrm{m^2}$235.00207.96
4315mm 墨彩贝壳$\\mathrm{m^2}$235.00207.96
4415mm 罗马岗$\\mathrm{m^2}$205.00181.42
4515mm 阿蔓米黄$\\mathrm{m^2}$235.00207.96
4615mm 浅咖$\\mathrm{m^2}$245.00216.81
4715mm 罗非绿玉$\\mathrm{m^2}$245.00216.81
4815mm 罗非彩玉$\\mathrm{m^2}$245.00216.81
4915mm 幻彩粉红$\\mathrm{m^2}$245.00216.81
50天然花岗岩毛石板路缘石、路边石、植树圈$150 \\times 400 \\mathrm{~mm}$ 芝麻白m138.00122.12
51$150 \\times 400 \\mathrm{~mm}$ 芝麻黑m170.00150.44
52$120 \\times 200 \\mathrm{~mm}$ 芝麻白m71.0062.83
53$120 \\times 200 \\mathrm{~mm}$ 芝麻黑m84.0074.34
54天然黄砂石板20mm$\\mathrm{m^2}$29.5026.11
55天然青砂石板20mm$\\mathrm{m^2}$29.5026.11
"} {"image_path": "images/ddc95bfbfbc7a6eabd515b2fcbdc2351.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EgyptB.C.Asiatic Countries
2. Sesostris I. 45 years.*1980-*1935
10 years coregent with Amenemhet I. Nubianconquest carried into Kush,—first foreign cam-paign led by a Pharaoh personally. AmenemhetII, 3 years coregent. Pyramid at Lisht.Khammurabi, king of Babylon (1900).
3. Amenemhet II. 35 years.*1938-*1903
3 years coregent with Sesostris I; expeditions toSinai, Nubian mines, Punt. 3 years coregentwith Sesostris II; Pyramid at Dashshur.
4. Sesostris II. 19 years.*1906-*1887
3 years coregent with Amenemhet II. Trafficwith Punt. Pyramid at Illahûn.Second Dynasty in Babylonia rules the“Country of the Sea” (parallel withFirst Dynasty at Babylon).
5. Sesostris III. 38 years.*1887-*1849
New canal through first cataract. Subjugation ofLower Nubia to second cataract complete. Ex-peditions thither in years 8, 12, 16, 19. South-ern frontier established at Semneh in year 8(1879 B. C.). First campaign of M. K. inSyria. Semitic traders in Egypt. Monumentsof Egyptian officials in Gezer (Palestine). Com-merce with Ægean. Nomarchs decline. Old-est known drama; Strophic poetry; tales,“Messianic” prophecy, Earliest Book of the
"} {"image_path": "images/39bc277eae6f1aef743ad5f9323293f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
I.1.2.
NO.AgeGenderRaceStateOccupationa.b.C.NO
BLN
14F43378
24F433712
31F433713
44F43374
51F43370
61F433612
71F433713
84F4331912
92F4331912
103M4331912
113F433612
124F4331912
133F4331912
143F433147
154M433151
164M433208
174M433214
185M433312
193M4337-
204M4332213
212M433712
224M433812
235M43338
242F433254
251F433112
265F4332312
274F433312
284M4101012
292F433612
302F433812
313F433812
324M433812
335F433712
345M433312
355M433712
361F4332413
375M43334
384F433712
394F433712
402F43388
"} {"image_path": "images/368f78972d7323ffd24ce37bdd1c40a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n
Noise level(%)$\\frac{|\\alpha_1-\\hat{\\alpha}_1|}{|\\alpha_1|}\\times100$$\\frac{|\\alpha_2-\\hat{\\alpha}_2|}{|\\alpha_2|}\\times100$$\\frac{|\\alpha_3-\\hat{\\alpha}_3|}{|\\alpha_3|}\\times100$
01.8208e−111.4352e−101.2131e−09
10.0661520.319120.47765
30.195320.890110.99108
50.320771.37560.93457
100.62192.25091.5333
"} {"image_path": "images/d061d596c4f0311a2e293b0f75fb529f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
人: 日期:
建築物名稱(地點):
日期内容
不合
校 作使用正常。
樓 、 使用正常。
教室 、 使用正常。
使用正常。
( 及 )使用正常。
外 外 及 。
外 、 , 保 度。
内 。
、 。
有 。
料 。
地 室 對於不 之地 室 以 。
地面平 , 情形。
校舍 建 處 全。
使用 校舍建築 全。
有 、 的 。
的 周 全 、 正常。
樓 。
樓 的地面 情況。
樓 間 置照 設 。
樓 間 、 。
、 。
"} {"image_path": "images/00e23b915418614763d8243d1d7f4b22.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
定额分类普氏分类 土壤及岩石名称天然湿度下平均容重/(kg·m⁻³) 极限压碎强度$\\left./(\\mathrm{kg} \\cdot \\mathrm{cm}^{-2}\\right)$ 用轻钻孔机钻进 1 m耗时/min开挖方法及工具紧固系数f
一、二类土壤II 轻壤和黄土类土1 600 用 锹开 挖 并少 数 用镐开挖0.6~0.8
潮 湿 而 松 散的 黄土,软的盐渍土和碱土1 600
平均 $15 \\mathrm{~mm}$以 内 的 松 散 而软的砾石1 700
含有草根的实心密实腐殖土1 400
含 有 直 径 在$30 \\mathrm{~mm}$ 以内根类的泥炭和腐殖土1 100
一、二类土壤II 掺有卵石、碎石 和 石 屑 的 砂和腐殖土1 650 用 锨开 挖 并少 数 用镐开挖0.6~0.8
含 有 卵 石 或碎 石 杂 质 的 胶结成块的填土1 750
含 有 卵 石、碎石 和 建 筑 材 料 杂质的砂壤土1 900
"} {"image_path": "images/4a2541a8a41caa695846458e4d1cc0d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PhaseDiffusingelementTemp.,°CEnergy ofactiva-tion,cal/mole$\\mathrm{D}, \\mathrm{cm}^{2} / \\mathrm{sec} $$D, \\quad \\text{cm}^2/\\text{sec}$ Temperature depend-ence of diffusion coeff.D, $ \\mathrm{~cm}^{2} / \\mathrm{sec}$
W
W
Hf
Hf
2100
2500
162000

$\\begin{array}{c}6,2\\cdot10^{-12}\\\\4,0\\cdot10^{-11}\\end{array}$8,7

$8,7 \\exp \\left(-\\frac{162000}{R T}\\right)$
HfC
HfC
W
W
2100
2500
103000

$\\begin{array}{c}3,2\\cdot10^{-11}\\\\5,7\\cdot10^{-10}\\end{array}$$3,8.10^{-2}$

$3,8 \\cdot 10^{-2} \\exp \\left(-\\frac{103000}{R T}\\right)$
W
W
W
Ti
Ti
Ti
1900
2200
2450
118000


$\\begin{matrix}0,1\\cdot10^{-10}\\\\1,6\\cdot10^{-10}\\\\24\\cdot10^{-10}\\end{matrix}$8,2


$8,2\\exp\\left(-\\frac{118000}{RT}\\right)$
TiC
TiC
TiC
W
W
W
1900
2200
2450
110000


$\\begin{smallmatrix}0,56\\cdot10^{-10}\\\\3,2\\cdot10^{-10}\\\\66,5\\cdot10^{-10}\\end{smallmatrix}$2,9


$2,9\\exp\\left(-\\frac{110000}{R T}\\right)$
W
W
W
Zr
Zr
Zr
1900
2200
2450
98000


$\\begin{array}{c}{0,83\\cdot10^{-10}}\\\\{27,8\\cdot10^{-10}}\\\\{292,2\\cdot10^{-10}}\\end{array}$1,67


$\\textbf{1,67 exp}\\left(-\\frac{98000}{RT}\\right)$
ZrC
ZrC
ZrC
W
W
W
1900
2200
2450
106000


$\\begin{array}{c}{0,26\\cdot10^{-10}}\\\\{7,41\\cdot10^{-10}}\\\\{41,2\\cdot10^{-10}}\\end{array}$0,19


$0\\:,19\\:\\exp\\:\\left(-\\frac{10600}{RT}\\right)$
"} {"image_path": "images/94608fa125a3b7d597b9c2cb38376ad0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间民兵建 民兵类别及人数备注
营 连 排 班 总计武装基干民兵基干民兵普通民兵
1950 2 3 63 6属石羊乡领导
1953 45 85 8
19651 5 15 384 4 84 81 6 42 3 6
19731 4 13 373 5 43 62 0 11 1 7
1976 1 4 12 283 3 93 72 0 49 8
19771 5 12 243 2 32 61 6 51 3 2
19781 5 12 272 9 33 13 19 9
19791 2 5 131 3 92 8 6 74 4
19801 2 5 121 3 33 05 15 2
19811 2 5 121 2 03 05 13 9
"} {"image_path": "images/c0556f1ae8d6b7ac05fb13d4ec306706.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
水 位 G(m)流 量 Q( $\\mathrm{m}^{3} / \\mathrm{s})$断 面 面 积$$F\\left(\\mathrm{~m}^{2}\\right)$$水 面 宽$$B\\left(\\mathrm{~m}^{}\\right)$$平 均 水 深$\\overline{h}\\ (\\mathrm{m})$$\\sqrt{\\overline{\\text{k}}}$F$\\sqrt{\\overline{\\text{k}}}$
"} {"image_path": "images/03c027af646235e746ebcac145a0d02f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
在 $136\\ \\small ^5/_8$买进1000 股在 $143\\ \\small ^5/_8$平仓7000
在 $141\\ \\small ^5/_8$买进500 股在 $143\\ \\small ^5/_8$平仓1000
在 $143\\ \\small ^5/_8$卖空2000 股在 141平仓5250
在 141买进2000 股在 152平仓22000
在 145买进1000 股在 152平仓7000
在 150买进500 股在 152平仓1000
在 152卖空2000 股在 $140\\ \\small ^1/_2$平仓23000
在 147卖空500 股在 $140\\ \\small ^1/_2$平仓3250
在 142卖空300 股在 $140\\ \\small ^1/_2$平仓$\\underline{450.00}$
$ 1500 $ 1645777.50
佣金$\\underline{10100}$$\\underline{11600.00}$
贷方净额 $ 1634177.50
"} {"image_path": "images/4fdf4599dc32be185e595e91f67213c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型式性能磁 电 式整 流 式电 磁 式电 动 式感 应 式静 电 式
测量基本量(不加说明时,即是电压、电流)直流或交流的恒定分量 (但振动式检流计可测交流)交流平均值(一般均在正弦交流下刻度为有效值)交流有效值或直流交流有效值或直流 (并可测交直流功率及相位、频率等)交流电能及功率也可以测交流电压及电流交流有效值或直流电压
使用频率范围振动式检流计使用在工频如45-55Hz一般用于46~1000 Hz,有的可达 5000 Hz以上一般用于 50 Hz频率变化时,误差大一般用 于 60Hz(有的可用于 8000Hz 以下)一般用于50Hz 交流频率可达兆赫
准 确 度高(可达0.1级至0.05级,一般为0.5至1.0级)低(可达0.5到1.0级, 一般为0.5至2.5级)低(可达0.2至0.1级,一般为0.5至2.5级)高(可达0.1至0.05级, 一般为 0.5 至 1.0级)低(一般为1:5至2.5级)低 (一般为1至1.5级)
量 限(大致范围)电流$几 \\mu \\mathrm{A} \\sim$ 几十 $\\mathrm{A}^{•}$$~~~几 十\\mu \\mathrm{A} \\sim 几十\\\\A$几mA~100A左右几十mA~几十A几十mA~10A
电压几mA~1kV1V~数千V 10V~1kv左右10V~几百V几十V~几百V几~100kV
功 率 损 耗很 小
波形影响测量交流非正弦波有效值时,误差很大可测非正弦交流有效值可测非正弦交流有效值可测非正弦交流有效值可测非正弦交流有效值
防御外磁场能力
分 度 特 性均 匀接近均匀不 均 匀不均匀 (作功率表时刻度均匀)数字指示 (作功率表时刻度均匀)不 均 匀
过 载 能 力
转 矩最 大
价 格便 宜最 贵使 宜
主要应用范围作直流电表作万用表作开关式电表及一般实验室用交流电表作为交直流标准表及一般实验室电表作电度表作电压表
"} {"image_path": "images/f8a8295a73ff1730acbda93f8750855b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名 称单 位RX-20-12型RX-40-12型RX-65-12型RX-90-12型RX-115-12型
额 定 功 率KW20406590115
额 定 电 压V380380380380380
额 定 温 度C12001200120012001200
加 热 元 件 接 法YYYY
相 数3333
炉 膛 尺 寸 mm650950120015001800
mm300450600750900
mm250350400450550
在考核温度850 ℃时的技术指标空炉损耗功率KW≤8≤12≤14≤17≤19
空炉升温时间h≤4≤ 4≤ 4≤4.5≤4.5
最大装载量kg200500
电 炉 质 量 kg3504400
"} {"image_path": "images/0a9bddfdd85bf81d15c6af9005a3929f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\text { Substrate direction }\\langle u v w\\rangle $Deposit direction $\\langle u v w\\rangle$$ \\begin{gathered} \\text { Misfit }\\\\ \\text { (% ) } \\end{gathered} $
< 100 >< 100 > +5.87
< 001 >-3.60
< 110 >< 110 >+5.87
< 021 >+1.25
< 211 >< 421 >+4.35
< 111 >-0.33
< 111 >< 221 >+2.81
< 210 >< 210 >+5.87
< 011 >-1.63
< 041 >+4.03
< 310 >< 310 > +5.87
< 061 >+4.97
< 023 >-2.59
< 221 >$\\langle 441 \\rangle$+4.84
< 121 >+1.77
< 311 >< 621 >+4.21
< 223 >- 1.81
"} {"image_path": "images/e086eae9d6ec0ec1feaa9714c9b21c35.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Parameter*ValueIdeal
Mox1224(12)1250
Moz1043(35)833
F(1)x155(14)0
F(1)z-1978(30)-2500
F(2)x2559(17)2500
F(2)Z3744(71)4167
F(3)x221 (11)0
F(3)y993(11)833
F(3)z2446(20)2500
F(4)x2320(10)2500
F(4)y1120(21)833
F(4)Z-711(42)-833
"} {"image_path": "images/f052074f1a28b9c53b1e6d6703a6d1fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ผู้มีรายได้น้อยจำนวนราย (%)ผู้อีโตรคนเป็นบัตรที่รับจำนวนราย (%)p-value
Renal impairment(Cr > 2.0, CCR < 40)30 (27.8%)22 (20.4%)<0.0001
• New onset30(27.8%)6(5.6%)
• Chronic16(14.8%)
Mean Hemoglobin(g/dl) (95% CI)9.6 (9.1-10.1)10.4 (10.0-10.8)0.016
Patient withhemoglobin <10 g/dl63 (58.3%)45 (41.7%)0.13
$ \\mathrm{Wbc}<4,500/\\mu l $27 (25.2%)34 (31.8%)0.07
Platelet $<100,000 / \\mu \\mathrm{l}$14 (13.1%)30 (28.0%)0.010
Median serum calcium(mg/dl)(IQR)9.35 (8.7-10.2)9.15 (8.5-9.7)0.06
Patient withhypercalcemia14(13.5%)3(2.9%)0.34
Median serum globulin(mg/dl)(IQR)6.2 (4.5-8.4)3.9 (3.1-5.3)<0.0001
Patient with globulin>5.0 g/dl56(65.1%27 (31.4%)0.002
"} {"image_path": "images/bea7a659712cceaa1972a01a65a4a248.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Heatingtemp.,°C$^\\sigma{0,2}$$^\\sigma{b}$$\\sigma_{0.2} /$obδΦ
$\\mathrm{kgf} / \\mathrm{mm}^{2}$%
Orig.condition54720,7520,060
72050680,7322,573
75046700,6619,067
78052870,5911,651
81063940,677,434
84067970,688,237
870761090,7010,028,5
900841180,7112,843
"} {"image_path": "images/3a264ca0bb517bcbad6c50c603ed3392.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BinNumber ItemNumberQuantity
4639147826
8321257440
1432167517
243565235
1103 264710
102030
"} {"image_path": "images/1304fc68ce1b65e59ef79554f6373609.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TotalW-RNon-Hndcps2-y-o 3-y-0+Hndcps2-y-0 3-y-0+Percent£1 LevelStake
Wolvhptn (A.W)18-854-227-220-27-3921.2+32.33
Lingfield (A.W)11-683-83-280-15-3116.2-17.25
Kempton (A.W)6-931-221-262-52-406.5-69.17
Newmkt (Jly)5-220-71-52-22-822.7+32.21
Newbury4-221-32-140-01-518.2+4.00
Ascot4-300-14-90-00-2013.3-16.25
Doncaster4-361-91-80-02-1911.1-10.00
Redcar3-91-21-30-01-433.3+1.38
Newcastle3-150-41-51-21-420.0-5.25
Yarmouth3-171-31-40-01-1017.6-9.57
Haydock3-200-51-50-02-1015.0+8.40
Lingfield2-61-31-30-00-033.3+2.75
Southwell (A.W)2-90-11-20-01-622.2-3.59
Chester2-130-11-30-01-915.4+2.33
York2-140-12-50-00-814.3-7.00
Windsor2-180-10-81-11-811.1-12.10
Beverley1-10-00-00-01-1100.0+14.00
Thirsk1-10-00-00-01-1100.0+8.00
Ripon1-40-01-10-00-325.0-2.50
Pontefract1-70-10-20-11-314.3-3.00
Sandown1-70-00-30-01-414.3+0.50
Leicester1-120-40-20-01-68.3-4.00
"} {"image_path": "images/08900224b47e642b9048e8c5474df5b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
铅 锡 合 金 丝锡75%,铅25% 铅 锑 合 金 丝铅≥98%,锑0.3~0.5%铜 丝
额 定 电流(安)近 似英 规号熔 丝 直径(毫 米)熔 断 电流(安)额 定 电流(安)近 似英 规号熔 丝 直径(毫 米)熔 断 电流(安)额 定 电流(安)近 似英 规号熔 丝 直径(毫米)熔 断电 流(安)
0.25440.080.370.25440.080.504.3340.2348.6
0.50380.150.750.50380.151.004.9330.2509.8
0.75360.201.100.75360.201.505.5320.27011
0.80350.221.200.80350.221.606.8300.32013.5
0.90330.25-340.23-8.6280.37017
1.00320.281.5033--11.0260.46022
1.05310.291.521.00320.282.0015.0240.56030
1.10300.32-1.05310.292.1021.0220.7141
1.25290.351.85-300.322.2022.0210.74043
1.35280.361.851.25290.352.5031.0200.91062
1.50270.402.201.25280.362.7037.0191.02073
"} {"image_path": "images/0e4aa21e7736bd187cea1bcf0413f17d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
脚号引脚符号引 脚 功 能电压/V备 注
23XRAYX 射线保护,低电平有效0. 12
24IDS 端子识别4. 95
25IDDVD 输入端子识别4. 98
26REM遥控输入5. 00
27AV1/AV2AV1/AV2 选择0. 05
28STANDBY开机 / 待机控制2. 50
29RF OUT高频调谐脉冲输出0. 01
30MUTE功放的静音控制0. 01
31SDA数据线3. 55
32SCL时钟线3. 56
33XTAL IN晶体振荡器输入1. 39
34XTAL OUT晶体振荡器输出2. 65
35VCC数字电源4. 98
36BAND高频头频段控制 A4. 98 该集成电路为主芯片,内含系统控制、中放解调、亮度处理、色度解码、行场小信号处理等功能,采用 64 脚封装此数据在厦华 MT2935A 数字高清彩电上测得,仅供参考
37BAND高频头频段控制 B0. 02
38TV/AVTV/AV 选择控制0. 02
39KEY键盘信号输入4. 20
40RESET复位3. 95
41PLL FILTER锁相环滤波3. 41
42GNDCPU 地0
43VCCCCD 电源4. 99
44H FBP IN 行逆程输入1. 39
45B IN蓝基色输入2. 49
46G IN绿基色输入2. 49
47R IN红基色输入2. 48
48BL消隐脉冲输入本机接地0
49INDVD 分量信号 Cb 输入2. 52
50XTAL外接 4. 43MHz 晶体振荡器2. 74
51INDCD 分量信号 Cr 输入2. 53
52VIDEO视频输出 ( 去 AV 输出端)2. 49
53VCO APC FILTER彩色压控振荡器 APC 滤波3. 40
54VIDEOAV 视频信号2. 48
55VCC电源4. 82
"} {"image_path": "images/32f21ffcda0d8723288e5f34afdc6437.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
土 壤試 驗 条 件施 入 土壤 的 磷酸盐形态$$ \\mathrm{P}_{2} \\mathrm{O}_{5} $$用量毫克)酸溶性磷酸盐的类别I + Il类的总数
IIIIII
$ H_2{O}+\\\\CO_2 $$ \\mathrm{C}_{2} \\mathrm{H}_{4} \\mathrm{O}_{2} $$\\mathrm{HCl}$ 或$\\mathrm{H}_{2} \\mathrm{SO}_{4}$
巴雷宾諾生草灰化土过磷酸钙50035254060
“愉快”国营农場生草灰化土同 上50035283763
巴雷宾諾生草灰化土$\\left(\\mathrm{NH}_{4}\\right)_{2} \\mathrm{SO}_{4}$同 上50042203862
同 上同上+ $\\mathrm{KCl}$同 上50056123268
同 上$$ \\left(NH_{4}\\right)_{2}SO_{4}+KCl $$+按#水解性酸度的$CaCO_3$同 上50054182872
同 上$$ \\left(NH_{4}\\right)_{2}SO_{4}+KCl $$+按2#水解性酸度的CaCO3同 上5003139 2670
同 上-$\\mathrm{Na}_{2} \\mathrm{HPO}_{4}$50046114357
同 上$\\mathrm{Na}_{2} \\mathrm{HPO}_{4}$4472674
“愉快”国营农場生草灰化土-$\\mathrm{Na}_{2} \\mathrm{HPO}_{4}$50052113763
同 上-$\\mathrm{Na}_{2} \\mathrm{HPO}_{4}$447-3462
諾沃瑞勃柯夫試験站砂土-过磷酸钙5001978397
同 上-$\\mathrm{Na}_{2} \\mathrm{HPO}_{4}$4471676
苏姆試驗站黑土$\\mathrm{Na}_{2} \\mathrm{HPO}_{4}$447-986
同 上-过磷酸钙5008713100
同 上$ \\left(\\mathrm{NH}_{4}\\right)_{2} \\mathrm{SO}_{4}+\\mathrm{KCl} $同 上500937100
同 上同 上5008614100
同 上$\\left(\\mathrm{NH}_{4}\\right)_{2} \\mathrm{SO}_{4}+\\mathrm{KCl}$同 上500897496
"} {"image_path": "images/c659ad68c7b7d9da94d39082130ee95c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
traditionalformsspokenspoken writtenwritten organisationand structureof content
free$\\updownarrow$rigidDIALOGUE ESSAY← MEMO →← REPORT→← SCHEDULE →linguisti-cally$\\updownarrow$non-linguisti-cally
area of speciallanguages
"} {"image_path": "images/36662a110c98e5507890c6f18d875116.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别选 项2004年2014年类别选 项2004 年2014 年
性别52.0449.68婚姻状况未 婚49.8144.65
47.9650.32已 婚50.1955.35
年龄18岁以下1.491.62文化程度初中及以下1.861.30
18~25 岁33.8323.38高中(中专、职校)17.4715.31
26~35 岁34.2039.61本科及大专72.8669.06
36~45 岁17.8416.56硕士及以上7.8114.52
46~60 岁10.7816.56职业企、事业单位职工16.7369.70
60岁以上1.862.27企、事业单位管理人员38.2911.00
月收入1 000 元以下11.524.29
1 000~3 000元30.486.27公务员3.353.88
3 000~5 000元29.7431.35私营企业主、个体经营户1.494.85
5 000~8000元15.9933.66
8 000~1 0000元10.23学生14.504.53
10 000~15 000元12.279.90自由职业者3.353.24
15 000~20 000元2.31离退休人员-2.91
20 000元以上1.98其他从业人员22.307.12
"} {"image_path": "images/1b994fca87507e75017a78918df07277.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
技术参数\\厂型捷 克T-813长 征XD980汉 阳HY462汉 阳HY471汉 阳HY473
牵引重量 ( t )100100326162
主要尺寸(mm)77607650554568957245
25002580250025802580
26202550276527652900
轴 距1650 2700350032003200 + 13503500 + 1350
最小离地高380290340
"} {"image_path": "images/112c10db069dd1c2a16a2e09db8528dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ awk ' /h/ ' ca#s
chevynova 79603000
chevynova, 80 503500
hondaaccord 81306000
fordthundbd841017000
chevyimpa la65851550
"} {"image_path": "images/1e26d35e7655476d28fba57e915ca375.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
將軍小耗青龍力士博士主星
陽男十隂干女
男 甲
女 乙
男 丙
女 丁
男 戊
女 己
男 庚
女 辛
男 壬
女 癸
"} {"image_path": "images/3af55f2fba339b8b89eca78b763906fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CI basic Red 9颜色指数 9 的碱性红第6章3.1节
CI Disperse Blue 1颜色指数 1 的分散蓝第6章3.1节
CI disperse Orange 1颜色指数 1 的分散橙第6章3.1节
CI disperse Yellow 1颜色指数 1 的分散黄第6章3.1节
$\\text{circular ['sɜːkjulə] sleeve}$披肩短袖第2章1.1.2节
$\\text{circular ['sɜːkjulə] weft knitting}$machine纬编针织圆机第3章1节
claim索赔第5章1.1.4节
clean finish 光整处理第4章2.3.4节
cleaning bar 清洁杆第5章2.1.4节
closed zipper闭尾拉链第3章2.2.2节
cloth spreaders 铺料机第5章2.1.2节
coat风衣,大衣第1章1.1节
coin $\\text{[kɒɪn]}$ pocket零钱袋第2章1.1:4节
collar ['kɒlə]衣领第1章1.1节
collar CB depth领子背中线处高第2章3节
collar depth $[\\operatorname{dep} \\theta]$领高第2章1.4.3节
collar notch $[\\mathrm{nɒt} \\int]$驳领缺嘴宽第2章3节
collar press压领机 第5章2.3节
collar spread [spred]领尖间距第2章3节
collar stand领脚 第1章1.1节
collar stand CB depth领脚背中线处高第2章3节
collarless无领的第1章3.2节
colour card色卡第4章2.1节
colour fastness ['fa:stnis]色牢度第3章2.1节
colour fastness to light光照色牢度第6章3.1节
colour fastness to wet rubbing 湿摩擦色牢度第6章3.1节
colour matching配色第5章1.1.4节
colour shading色差第2章1.3节
colour spot色花第6章3.2.1节
colour swateh $[\\mathrm{swɒt} \\int]$色样,染色样布第3章2.5节
colour tone色调第5章1.1.4节
colour/ size/ quantity assortment颜色/尺码/数量搭配第5章1.1.5节
"} {"image_path": "images/1179d94d8196d3f92a756bd2819929bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份.实际值预测值 An = 0.1预测值 Ba = 0.9绝对偏差均方偏差
ABAB
11500
21725150015002252255062550625
31510152317031319316937249
41720152215291981913920436481
513301542170118837135344137641
61535152113671416819628224
71740152215182182224752449284
8181015441718366921339568464
917601571180118941357211681
101930159017643401661156027556
11200016241913376871413767659
121850166219911881413534419881
总计MAD23451901635059377099
MSE2101735773336792
"} {"image_path": "images/d32386244206073c348d7926b9b01422.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
平 衡 态$T_{~6~5}$ (K)作者估计不确定度
不确定度 (K)分类
氙三相点161 . 388± 0.001B
镓 熔 点302 . 9219± 0.001C
镓三相点302 . 9238± 0.001C
$苯甲酸三相点^④$395 . 520± 0.002B
苯甲酸熔点395 . 533± 0.002B
铜-71.9%银共熔合金的熔点1052 . 72± 0.10B
铜凝固点1358 . 04± 0.015B
$1358.03^⑤$± 0.06B
钛的熔点亮度温度(0.997 μm)1711± 6B
钛的熔点亮度温度( 0.653 μm)1800± 6B
钯 熔 点1827± 4B
钒的熔点亮度温度(0.997 μm)1875± 7B
钒的熔点亮度温度(0.653 μm)1992± 7B
"} {"image_path": "images/ed6caf869f9121d25686d4d5536906a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
propertyfluidT, °Cpressure effectref
one-
phase
region
two-
phase
region
${W_o}^{sat}$ethane
propane
37$na^a$large32, this work
25nalarge19, this work
app hydro-
dynamic radius
ethane
propane
37smallsee text45
25smallsee text45
$λ_{max}$ Of pyridineN-oxideethane37smalllarge18, this work
solubility of
tryptophan
ethane37smalllarge18
FTIR spectra of
water
propane25smallnotstudied19
$λ_{max}$ of thymol blueethane25,37smallnotstudied26
emission max of
ANS
ethane
propane
37smalllargethis work
25smalllargethis work
emission intensity of
ANS
ethane
propane
37smalllargethis work
25smalllargethis work
"} {"image_path": "images/94dd224cbe485161b91f9da1240cbc6f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
真宗景德三年八月。八月一日,四日:闰五月八日。
大中祥符元年四月;九月;十月。元年正月四日;六月九日,二十三日十一月七日;十二月二十三日。
三年八月十七日;十月十九日。《乐志》阙
五年五年闰十月五日;十二月八日。
六年四月十九日;九月二十五日。《乐志》阙
七年元月七日,正月九日。《乐志》阙
天禧二年六月十七日。《乐志》阙
仁宗天圣四年二月十七日。《乐志》阙
五 年 十 月 。五年十月十六日。
九年四月二十一日,二十九日。《乐志》阙
明道初(元年);二年。《辑稿》阙
景祐八 月 。元年八月二十三日;九月;十月十九日;十一月二十五日,二十七日。
二年二月;五月;九月,是月;十一月二年正月;二月四日;四月八日,十二日,十七日,二十五日;五月七日,二十五日;六月九日,十三日,十九日;七月五日,十二日,十三日;八月十八日;九月四日,二十三日,二十九日;十月十三日,十四日;冬;十二月。
三年七月;九月;十月。三年六月九日:七月十三日,二十一日;九月十一日;十月四日,十九日;十一月。
四年正月。《乐志》阙
五年五月;七月。五年五月十九日;八月五日;十一月二十一日
康定元年。《辑稿》阙
庆历三年八月二十七日。《乐志》阙
五年十一月二十日。《乐志》阙
"} {"image_path": "images/39a59fbd93776b59725f5118d9779c20.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Approximate Compositioa
Polyester Base:Carbon45 Atom %
Hydrogea36 Atom %
Oxygea19 Atom %
Sensitive Layer:Carboa31 Atom %
Hydrogca56 Atom %
Nitrogca5 Atom %
Oxytea8 Atom %
Adhesive Layer:Carboa33 Atom %
Hydrogea50 Atom %
Oxytea17 Atom %
Conductive Layer:Indium Tia Oxide
"} {"image_path": "images/6050fbc91cf78614de0e9170631055f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
油田区块二氧化硫氮氧化物总悬浮颗粒物总 烃备 注
年日均值$mg/m^{3}$年范围值$mg/m^{3}$年超标率%年日均值$mg/m^{3}$年范围值$mg/m^{3}$年超标率%年日均值$mg/m^{3}$年范围值$mg/m^{3}$年超标率%年日均值$mg/m^{3}$年范围值$mg/m^{3}$年超标率%
大庆萨尔图区0.018$0.010 \\sim 0.041$00.034$0.024 \\sim 0.058$00.158$0.120 \\sim 0.255$06.36$2.20 \\sim 12.0$100
让胡路区0.018$0.011 \\sim 0.025$00.024$0.017 \\sim 0.032$00.146$0.108 \\sim 0.232$04.72$2.80 \\sim 8.60$100
龙凤区0.018$0.010 \\sim 0.026$00.027$0.020 \\sim 0.034$00.144$0.107 \\sim 0.210$05.30$2.50 \\sim 8.90$100
红岗区0.017$0.011 \\sim 0.026$00.020$0.016 \\sim 0.027$00.130$0.096 \\sim 0.160$04.39$2.00 \\sim 10.30$100
大同区0.014$0.008 \\sim 0.021$00.022$0.008 \\sim 0.043$00.141$0.086 \\sim 0.230$03.56$1.70\\sim 5.50$100
大庆地区0.017$0.008 \\sim 0.041$00.026$0.008 \\sim 0.058$00.144$0.086 \\sim 0.255$04.91$1.70 \\sim 12.00$100
胜利东营区块0.038$0.005 \\sim 0.208$2.60.025$0.002 \\sim 0.087$1.20.229$0.049 \\sim 0.485$26.02.86$0.70 \\sim 24.80$4.0
孤岛区块0.021$0.004 \\sim 0.050$00.024$0.002 \\sim 0.039$00.213$0.007 \\sim 0.425$28.04.83$0.98 \\sim 34.30$22.2
滨南区块0.122$0.020 \\sim 0.252$47.20.025$0.002 \\sim 0.084$00.104$0.003 \\sim 0.270$14.01.76$1.22 \\sim 3.47$0
临盘区块0.119$0.011 \\sim 0.201$6.20.015/00.102$0.088 \\sim 0.339$6.03.33$0.84 \\sim 13.33$6.7
全地区平均0.075$0.004 \\sim 0.252$15.00.022//0.162$0.003 \\sim 0.485$18.03.20$0.70 \\sim 34.30$8.2
江汉基地0.018$0.003 \\sim 0.066$0.00.026$0.002 \\sim 0.082$0.00.153$0.007 \\sim 0.747$10.73.25$1.74\\sim 5.82$96.4
"} {"image_path": "images/f350d6bf307fc2806fa3f2255d9cc3c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x$\\mu(x)$exact$\\mu(x)$calculated$\\mu^{\\prime}(x)$Lal's results$\\mu^{\\prime}(x)$calculated
11110.990082
1.11.09531021.0953092
1.21.18232151.1823210
1.31.26236421.2623632
1.41.33647221.3364716$\\frac{1}{x} $
1.51.40546511.4054640
1.61.47000361.4700028
1.71.53062821.5306270
1.81.58778661.5877857
1.91.64185391.6418526
2.01.69314721.69314610.5000000.502529
2.11.74428041.7442788
2.21.79727181.79727060.5374180.536069
2.31.85161761.8516159
2.41.90692871.90692730.5568630.556210
2.51.96290101.9628991
2.62.01929532.01929370.5653860.565164
2.72.07592212.0759200
2.82.13263032.13262860.5670670.567117
2.92.18929952.1892974
32.24583242.24583100.5643820.564607
3.12.30217742.3021764
3.22.35838852.35838780.5616470.561739
3.32.41452242.4145215
3.42.47061822.47061740.5608610.560885
3.52.52670152.5267003
3.62.58278792.58278690.5609150.560913
3.72.63888652.6388851
3.82.69500052.69499920.5612180.561212
3.92.75112962.7511280
4.02.80727082.80726940.5614580.561458
"} {"image_path": "images/3af2df7d215e3c13f8d8c8e0d480987d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
`hKonzentr.H= 10$k_{10}$ = 7,683H = 15$k_{15}$ = 11,43H = 20$k_{20}$ = 15,48
ber.beob.ber.beob.ber.beob.
n : 110,16915,1313,3520,4918,6
28,758,5513,0112,9517,7317,95
38,018,3311,9112,616,1317,3
47,368,110,9411,9514,8216,5
67,077,2510,5110,714,2414,4
96,316,49,399,4512,7112,3
185,435,28,087,7210,9410
"} {"image_path": "images/08d22c0fb3629879971abd802d89f384.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
12345678
$ \\begin{aligned}& G_{d} A L O_{3} \\\\& Gd_{2} O_{3}=9.02 \\\\& A L_{2} O_{3}=2.42\\end{aligned} $$ \\begin{matrix} \\mathrm{PbO} / \\mathrm{PbF}_{2} \\\\ (\\mathrm{PbO}=57,6 \\\\ \\mathrm{PbF}_{2}=38,4) \\end{matrix} $H120017 суток 4x4x3 прозрачныекристаллыжелтова-того цвета[40]
$ \\begin{array}{l}\\mathrm{GdAlO}_{3}\\\\ 81,5 r\\mathrm{Gd}_{2}\\mathrm{O}_{3}\\\\ 22,7 r\\mathrm{Al}_{2}\\mathrm{O}_{3}\\end{array} $$ \\begin{gathered} \\mathrm{Bi}_{2} \\mathrm{O}_{3} / \\mathrm{B}_{2} \\mathrm{O}_{3} \\\\ \\left(642,5 r \\mathrm{Bi}_{2} \\mathrm{O}_{3}\\right. \\\\ \\left.+21,4 \\mathrm{~B}_{2} \\mathrm{O}_{3}\\right) \\end{gathered} $MO1340-8400,7-1,75x4x4кристаллы темно-коричневого цвета[41]
$ GdAlO_{3} $$\\mathrm{PbO} / \\mathrm{PbF}_{2}$MO 1260-100036x6x3[14]
$ \\begin{array}{c}G_{\\mathrm{d}} \\mathrm{AlO}_{3} \\\\81.5 r \\mathrm{Gd}_{2} \\mathrm{O}_{3} \\\\+22,3 r \\mathrm{Al}_{2} \\mathrm{O}_{3}\\end{array} $$ \\begin{array}{l}Bi_{2}O_{3}/ B_{2}O_{3}\\\\ b42,5r\\quad Bi_{2}O_{3}\\\\ 21,4\\quad B_{2}O_{3}\\end{array} $MO1340-9400,7 [14]
$ \\begin{gathered} \\text { NdAlO }_{3} \\\\ \\left(\\mathrm{Nd}_{2} \\mathrm{O}_{3}=20,2 c\\right. \\\\ \\left.\\mathrm{Al}_{2} \\mathrm{O}_{3}=6.0 c\\right) \\end{gathered} $$ \\begin{gathered} \\mathrm{PbO} / \\mathrm{PbF}_{2} \\\\ \\mathrm{PbO}=100 \\mathrm{r} \\\\ \\mathrm{PbF}_{2}=100 \\mathrm{r} \\end{gathered} $MO1280-9100,7$ \\text { 6-7 mm }{ }^{3} $прозрачныекристаллыпурпурногоцве та[40]
$ \\mathrm{PrAlO}_{3} \\\\$
$\\left(\\mathrm{Pr}_{2} \\mathrm{O}_{3}=\\mathrm{IO}_{\\mathrm{r}}\\right. \\\\ \\left.\\mathrm{Al}_{2} \\mathrm{O}_{3}=3 \\mathrm{r}\\right)$
$ \\begin{matrix} P b O / P b F_{2} \\\\ P b O=5 n r \\\\ P b F_{2}=50 r\\end{matrix} $MO1285-9603,5$ \\text { 2-3 mm }{ }^{3} $ прозрачныcкр ст ллы,большиcкристаллы cвключе ия и [40]
"} {"image_path": "images/ce5d7ac0432adca43380afd599e79e07.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
钢 号 $ ^, $ 化 学 成 分 %
乙 类 钢特 类 钢 CSiMnP≤S≤
B1B1F$ 0.06\\sim 0.12 $$ \\begin{array}{r}0.12\\sim 0.30\\\\\\leqslant 0.05\\end{array} $$ 0.25\\sim 0.5 $0.0450.055
B2B2FC2C2F$0.09 \\sim 0.15$$ \\begin{array}{r}0.12\\sim 0.30\\\\\\leqslant 0.07\\end{array} $$ 0.25\\sim 0.5 $
B3B3FC3C3F$ 0.14\\sim 0.22 $$ \\begin{array}{r}0.12\\sim 0.30\\\\\\leqslant 0.07\\end{array} $$ \\begin{array}{l}0.40\\sim 0.65\\\\0.30\\sim 0.60\\end{array} $
B4B4FC4C4F$ 0.18\\sim 0.27 $$ \\begin{array}{r}0.12\\sim 0.30\\\\\\leqslant 0.07\\end{array} $$ 0.40\\sim 0.70 $
B5C5$ 0.28\\sim 0.37 $0.15~0.350.50~0.80
B6$ 0.38\\sim 0.49 $
B7$ 0.50\\sim 0.62 $
"} {"image_path": "images/a05e17ae0ae18d48e448a58f32fa029d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ЧАСТОТАДИСКРЕТИЗАЦИИKAHAJIbIДНИEMKOCTb 3y
15 MC10.11119 c
80.1140 c
90.1124 c
160.170 c
1000 MC0.765658 c
80.18207 c
90.17295 c
160.14104 c
60000 MC145.43931397 c
85.6491425 c
95436822 c
162.8245712 c
3600000 MC12727.5235875737 c
8340.929484467 c
930326208415 c
"} {"image_path": "images/c09e218e657f3c624e89cb63ec55d28c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CrossProposed parental genotypesS%R%Progeny phenotypes% Recombination
+dt$w^{r e}$$\\begin{gathered}d t \\\\w^{r e}\\end{gathered}$+dt$w^{r e}$$\\begin{gathered}d t \\\\w^{r e}\\end{gathered}$$d t-w^{r e}$$w^{r e}-M$$d t-M$
I$\\frac{d t \\quad w^{r e}}{d t \\quad w^{r e}} \\times \\frac{d t \\quad w^{r e}}{+\\quad+} \\alpha$2.867.3522722303189313820.8**$11.5^{* *}$$31.6^{* *}$
J$\\frac{d t \\quad w^{r e}}{d t \\quad w^{r e}} \\times \\frac{d t \\quad w^{r e}}{+\\quad+} \\beta$6.970.91614446173173383216419.2**51.747.4
"} {"image_path": "images/aafed85432237377839ed420aed99707.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国名王名阶层身份
楚 楚元王刘交皇 族刘邦弟高六文元死
吴淮南长沙 刘濞厉王刘长共王昱若皇族皇族王族刘邦兄子刘邦子吴回子高十一高十一吕二景三杀文六迁死文元死
齐 齐哀王刘襄 皇族刘肥子惠七文元死
赵 赵代 刘遂文帝领皇族皇族刘友子刘邦子文元高十一景三杀吕八为帝
燕 燕敬王刘泽皇族刘邦疏属文元由琅邪王徙文二死
"} {"image_path": "images/22724c7c591e353a091914f5cfc5fa22.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
专 业 类
合 计研究生本科生专科生
72 计划统计42901715
73 财会10560322
74 财政金融5540524
75 法律8502411
76 公安163001
77 体育10402030
78 音乐26028
79 美术42017
80 工艺美术3001
81 戏剧、电影、电视、舞蹈、戏曲、杂技等146018
82 组织、人事工作125004
83 其它356003
"} {"image_path": "images/054e3313f4bc86240fc88186b1c945cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓名性别出 生年 月籍 贯参加革命年月党团员牺 牲时 间牺 牲地 点牺 牲 时所在单位牺职牲时务备 考
吕敷成江 西 省广 丰 县1949年5 月1950年3 月务川县庙 坝解 放 军 五兵团干部队伍干部
朱志川江 西 省玉 山 县古 城 乡1949年5 月1950年3 月凤岗县马家盖解 放 军 五兵团干部队伍干部
黎功荣贵 州 省思 南 县1949年11 月1950年3 月务川县庙 坝解 放 军 五兵团于部队干部
简太其1908年4 月 务 川 县杨 村 乡1950年2 月1950年3 月务川县庙 坝解 放 军县 大 队分队长
佚名氏1950年3 月务川县庙 坝解 放 军一 二 三 六 团五 连战士
"} {"image_path": "images/3fba21047e7c08af991f2248b9287f0c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DAYS AFTER IRRADIATIONLIVER LIPIDS
Total lipid, $\\%$ of wetwt. of liverPhospholipid,* $\\%$ oftotal lipidTotal cholesterol, $\\%$ oftotal lipid
IPFCIPFCIPFC
27.186.0346.757.34.733.98
26.265.6264.459.44.204.28
Mean6.725.8355.658.44.474.13
75.475.6866.563.84.363.65
75.475.7265.370.04.534.21
Mean5.475.7065.966.94.453.93
146.075.8758.761.54.333.85
145.446.0766.462.04.723.82
Mean5.765.9762.661.84.533.84
285.015.9251.657.83.864.42
285.125.6149.555.34.254.27
28Lost49.251.74.523.92
285.354.8751.757.24.005.54
285.265.4249.152.13.804.68
284.896.5360.645.34.104.27
Mean5.135.6752.053.24.094.52
425.506.2856.348.84.513.91
425.155.7152.353.04.094.78
424.485.5953.047.44.554.52
425.535.9446.248.03.914.09
425.525.3952.554.03.954.46
Mean5.245.7852.150.24.204.35
"} {"image_path": "images/913d5eb785a3395f73a26ec8ebbbc9ce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
羊 毛 种 类采 購 时
羊毛的实际重量(公斤)羊毛含水量对烘后恒重的 %
細毛···············2310.910.74
半細毛············5637.813.04
半粗春毛·········18041.014.59
半粗碎塊毛······2812.514.96
半粗秋毛·········19443.8716.67
半粗羔毛·········4001.913.24
粗春毛············87.2516.00
山羊毛············365.4814.42
低級細毛·········470.011.67
共 計53170.7-
"} {"image_path": "images/b66195d4e4fcd0d477246099003e5098.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
designATP$\\Delta\\mathrm{ATP}$ADP$\\Delta\\mathrm{ADP}$AMP$\\Delta\\mathrm{ATP}$ adeninenucleotide adeninenucleotide
EC$\\left.\\begin{array}{l}0.43 \\\\ 1.71\\end{array}\\right\\}$ -1.28$\\left.\\begin{array}{l}1.43 \\\\ 1.36\\end{array}\\right\\}$+0.07$\\left.\\begin{array}{l}0.46 \\\\ 0.07\\end{array}\\right\\}$+0.39$\\left.\\begin{array}{l}2.32 \\\\ 3.14\\end{array}\\right\\}$-0.82
EC$\\left.\\begin{array}{l}0.94 \\\\ 2.77\\end{array}\\right\\}$-1.83 $\\left.\\begin{array}{l}1.63 \\\\ 1.50\\end{array}\\right\\}$+0.13$\\left.\\begin{array}{l}0.25 \\\\ 0.04\\end{array}\\right\\}$+0.21$\\left.\\begin{array}{l}2.83 \\\\ 4.31\\end{array}\\right\\}$-1.49
EC$\\left.\\begin{array}{l}0.43 \\\\ 1.83\\end{array}\\right\\}$-1.40$\\left.\\begin{array}{l}1.49 \\\\ 1.13\\end{array}\\right\\}$+0.36$\\left.\\begin{array}{l}0.24 \\\\ 0.09\\end{array}\\right\\}$+0.15$\\left.\\begin{array}{l}2.16 \\\\ 3.05\\end{array}\\right\\}$-0.89
EC$\\left.\\begin{array}{l}0.42 \\\\ 1.85\\end{array}\\right\\}$-1.43$\\left.\\begin{array}{l}1.36 \\\\ 1.09\\end{array}\\right\\}$+0.27$\\left.\\begin{array}{l}0.44 \\\\ 0.10\\end{array}\\right\\}$+0.34$\\left.\\begin{array}{l}2.22 \\\\ 3.04\\end{array}\\right\\}$-0.82
EC$\\left.\\begin{array}{l}0.50 \\\\ 1.83\\end{array}\\right\\}$-1.33$\\left.\\begin{array}{l}1.19 \\\\ 1.31\\end{array}\\right\\}$-0.12$\\left.\\begin{array}{l}0.28 \\\\ 0.14\\end{array}\\right\\}$+0.14$\\left.\\begin{array}{l}1.97 \\\\ 3.28\\end{array}\\right\\}$-1.31
EC$\\left.\\begin{array}{l}0.94 \\\\ 2.83\\end{array}\\right\\}$ -1.89$\\left.\\begin{array}{l}1.52 \\\\ 1.37\\end{array}\\right\\}$+0.15$\\left.\\begin{array}{l}0.42 \\\\ 0.24\\end{array}\\right\\}$+0.18$\\left.\\begin{array}{l}2.88 \\\\ 4.44\\end{array}\\right\\}$-1.56
mean value$\\pm$ s.E. of the mean-1.53土 0.108+0.14土 0.06+0.23土 0.04-1.15土 0.13
"} {"image_path": "images/0f87967314e38e03fd502068cb4112cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
左 手符号距离(厘米)时间(小时)时间(小时)距离(厘米)符号右 手
1手伸向纸25.00.00610.006125.0手伸向复写纸1
2拿住纸0.00060.0006拿住复写纸2
3拿到身边25.00.00610.006125.0拿到身边3
"} {"image_path": "images/1342a22110d588aeaf381e11bb9890d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
房 号数 量
报纸名称
"} {"image_path": "images/cd2d43fd1ac7ed3e0f41932bc9883226.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
筛 孔 ( 目 )3/83/88142848100<100合 计
重量 ( 克 )
重量百分数
MF系 数76543210
重量百分数 × 系数
结 果MF = Σ重量百分数 × 系数
MU等 级粗 粒 中 粒细 粒
重量百分数 ( % )
结 果WU = #
"} {"image_path": "images/9034c3bee0686c6c2c307bc9fb01bb3b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
万用表挡位
正向电阻/$ \\mathrm{k} \\Omega $
反向电阻/kΩ
"} {"image_path": "images/2f3fde5416027e2edf9b84aa69a7a711.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
措施项目淋水施肥剪草疏草打孔喷药留高(毫米)
生长季非生长季生长季非生长季生长季非生长季春夏秋冬
周期特级员次蛐天圆∼猿次蛐周员次蛐月员次蛐缘天 员-圆次蛐月每年一次半月喷一次圆缘
一级员次蛐天圆∼猿次蛐周员次蛐园天员次蛐月源园
二级员次蛐天圆∼猿次蛐周员次蛐猿个月员次蛐园天剪两次每月喷一次远园
三级视天气情况员次蛐年员次蛐园天突发病虫喷药员园
四级靠天水基本不施员年员次
材料 工具自动喷或水管复合肥、长效肥旋刀机、滚筒机、割灌机、大草剪疏草机、打孔机高压喷雾机
"} {"image_path": "images/271360428141d78537c0bf29161ceae6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目2608X41X42
外观淡黄色至棕色液体淡黄色至浅棕色液体淡黄色至浅棕色液体
酸值,(氢氧化钾mg/g树脂) $\\leq$303030
粘度(25℃),(Pa · s )0.2~0.50.2~0.50.2~0.5
固体含量 %60~68 60~6860~68
${胶化时间(25^\\circ\\text{C}),\\min\\ \\leq}$604050
储存期20℃以下6个月,(20~30)℃ 3个月
"} {"image_path": "images/cd2f4665f5307a0d4d36dd4d9c7cc8ba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
State$N_{i}$ (parity)$\\Delta N$Observed intensity$^a$
$c'^{1} \\Sigma_u^+$6(+)+30.42
+10.73
-11.00
-30.73
5(-)+30.37
+10.88
-11.00
-31.06
$c^{1} \\Pi_u$2(-)+20.26
01.00
-2$\\cdots$
5(-)+30.26
+10.82
-11.00
-30.79
"} {"image_path": "images/8de666f85d386ce670a50486465ddb97.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CONTROLS
BATCH CONTROL ①BATCH REGISTER ②SIGHT CHECK ①KEY VERIFY ②BATCH BALANCE ③HASH TOTAL ④SELF CHECK NOS. ⑤BATCH BALANCE ①HASH TOTALS ②SEQUENCE CHECK ③DATA IDENTIFICATION ④VALID DATA ⑤RECORD COUNT ⑥ARITHMETIC CHECK-REVERSE ①RE ASON ABLENESS ②RANDOM ③BULK MULT. ④CROSS FOOT ⑤TOTALS RECONCILED TO INPUT ①RECORD COUNTS ②PRINTED RECONCILIATION ③PROOF OF TRIAL BAL ANCE ④
"} {"image_path": "images/3e306316befaad670a8096e05506765e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
收 入支 出
项 目金额项 目金 额
税款收入5,988财政拨款2,969
工 商 税5,226工业及其他生产企业扩大生产拨款 898
工商所得税 348支援农业基本建设 185
农 业 税68对服务企业添置固定资产拨款34
其他税款和非税收入 346各项事业费 970
企业收入(利润)4,745 事业单位和机关经费及其他上解财政净额8828,823
利息收入1,150上解财政净额居民储蓄利息支出 33
财政结余 58
合 计11,883合 计11,883
"} {"image_path": "images/211622274914a3341538d963064fce63.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
席德馨蓝翎席 張 陳芝 兆 其田 芝 昌同江任清堄知縣浙平署街 江知肯浦縣州谢 雷 唐 席家 引 楚 拱馨 # # 南###南現 蓝翎同西#醫 翎考庚#四官午 川蓝 蒋 卿廷 聲 良賞 還 昭街#州見阴候#同#賞知唐 易克 #昌 洪毛羽儀補 李#䣭##酮#
"} {"image_path": "images/1a55150ebe0714c07be148faeb687aee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
单位工程名称始建时间(年)工程性质工程长度 (米)裹护长度 (米)坝岸数量 (道)各种坝型数量
控导(处)护滩(处)合计护岸砌石扣石乱石其他
濮阳河务局11836 89130 600447365384473236345
濮阳县河务局南上延19734 0302 86748361248
三合村19951 3001 469131313
连山寺19683 0182 91554391554
龙长治19712 5401 541232323
尹庄19604995974314
马张庄19691 5811 56324231177
胡占19591 300131313
范县河务局 李桥控导1994700707777
吴老家19871 8401 852232323
杨楼19871 3601 650181818
旧城19672 0002 000252525
台前河务局孙楼19663 5802 90438383332
韩胡同19704 4102 3886552134853
梁路口19683 1702 7144926232128
枣包楼1995640510888
贺洼19661 4561 456777
白铺至前董19701 1751 175666
邵庄19557927924224
赵庄19681 5001 500181818
总计91处5932195 559170 6492 0861 4494611767341 842203
"} {"image_path": "images/c79b631bfe66b99bae65da9806af1ec1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
参 数最小值最大值单 位
名 称符 号
外定时电阻R$_{T}$1.440
外定时电容C$_{T}$01000$\\mu F$
占 空 度q$B_r=$2kΩ67$\\%$
$B_r=$40kΩ90
输入脉冲宽度$\\text{Iw}$50ns
输入脉冲上升或下降速度$d_{w1}$dtB1v/s
$A_{1}$、$A_{2}$1$v/\\mu s$
"} {"image_path": "images/2ab1d7adf024015ad2cb602962bdeb89.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
注: C-记者或通讯员D-发出电讯驻 在 国德通意讯志社罗通马讯尼亚社苏新闻联社保通加讯利亚社捷克克通斯讯洛伐 社匈通牙讯利社中和华国人新民华共社波通讯兰社古洲巴通拉讯丁美社南通斯讯拉夫社苏塔斯联社按国家总计
阿 根 廷DDDDDDDDD9
巴 巴 多 斯D1
巴 西DCDCC4
智 利CDCDCDCDCDCD6
哥 伦 比 亚CDCDDCD4
哥 斯 达 黎 加DD2
多 米 尼 加共 和 国CD1
厄 瓜 多 尔①DCDDDCD5
萨 尔 瓦 多 ②DDD3
圭 亚 那CDCDCDCD4
"} {"image_path": "images/a694a2c55cb1a95764fb5985349e73f1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
mM(m)$^N {mn}$N(m)Theor.
n=0123456789101112
C692519S643111CCCC1.551.69
1221181C41CCCCCCC
19415241413196C1C11CC2.372.C7
11242517931CCCCCC
27114151858542CCCCC2.272.45
6151815941CCCCCC
364316111465351CCCC2.972.83
31C15141C521CCCCC
436547826211CCCC 2.973.21
14788 6421CCCCC
53C141C513321CCCC3.273.59
C2565421CCCCC
621241421151CCCC 3.813.97
C1344321CCCCC
719C13433311C0C C4.164.36
C1233321CCCCC
88CC2120C101CC 15.384.74
CCC1111CCCCC C
S5C1C1CCC21CCCCC 5.2C5.12
CCC CC0CCCCCCC
1C2CCCC 11CCCCCCC4.5C5.5C
CCCCCCCC CCCCC
111CCCCCCC CCC1CCC9.CC5.88
CCCCCCCCCCCCC
122C CCC 0 1 CC0CC1 C8.CC 6.26
CCCCCCCCCCCCC
"} {"image_path": "images/ea74d1c99a4f8080cd3f91825db59ee0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目各土区简称(代号)各土区面 积耕 地林 业 用 地水面其 他
小 计其 中园地有 林 地荒山迹地
水田旱地小计其 中经济林
洞庭湖平原区(I)225769356113212179470678625
环湖丘陵土区(Ⅱ₁)172343931412526606223229146277
长浏平丘陵土区( $\\left.\\mathrm{II}_{2}\\right)$3464725615110831372349293221770
衡攸丘陵土区(Ⅱ₃)3630803690113461140416652231758
邵零丘陵土区(Ⅱ₄)3945959733226651374266389247911
湘南山间丘陵盆地土区(Ⅲ₁)2187345245100171153174209100363
湘南山地土区(Ⅲ₂)35431901504014212134666492462
武陵山地土区(Ⅳ₁)3838355220135191308430151473569
沅水谷地土区(Ⅳ₂)256133325677191263288404105437
雪峰山地土区(Ⅳ₃)462629021080462806 255603137744
全 省 合 计31774513239941138347133222751502720305916
"} {"image_path": "images/6026d8bb5c78a37a802bb20a82e08c16.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
个 性名 称专 业名 称标识专 业名 称标识专 业名 称标识
高 有 恒 性中医学临床医学护理学
高敢为性国际经济与贸易金融学工程管理
法学政治学与行政学市场营销
外交学治安学旅游管理
侦查学边防管理公共事业管理
运动训练民族传统体育管理科学
对外汉语新闻学工商管理
广播电视新闻学播音与主持艺术人力资源管理
地质学海洋科学行政管理
海洋技术采矿工程土地资源管理
石油工程矿物加工工程农林经济管理
勘查技术与工程资源勘查工程动物科学
核工程与核技术土木工程海洋渔业科学技术
给水排水工程水利水电工程动物医学
水文与水资源工程安全工程野生动物与自然保护区管理
交通运输交通工程 森林资源保护与游憩
油气储运工程飞行技术森林工程
航海技术轮机工程消防工程
船舶与海洋工程 武器系统与发射工程地面武器机动工程
探测制导与控制技术 弹药工程与爆炸技术水土保持与荒漠化防治
"} {"image_path": "images/5a0981ce9f0c9ebda71be90c5531ac0a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
牌 号热 处 理 制 度瞬 时 拉 伸 性 能室温冲击$a_k$$\\text{kgf·m/cm}^2$不小于室温硬度HB( d压痕直径)mm高温持久性能
新牌号原牌号试验温度℃抗拉强度$\\sigma_b$$\\text{kgf/mm}^2$屈服强度$\\sigma_{0.2}$$\\text{kgf/mm}^2$伸长率$\\delta_5$$\\%$断面收缩率$\\phi$$\\%$试验温度℃应 力$\\mathrm{kg} \\mathrm{f} / \\mathrm{mm}^{2}$时 间h不小于
不小于
GH1140GH1401080℃空冷室温
800
63
25
-40
40
45
50
-----
GH2036GH361140℃或1130℃*保温1小时20分,水冷;650~670℃保温14~16小时升温至770~800℃保温14~20小时,空冷室温8560152033.45~3.65650 38
(35)
35
(100)
GH2132GH132980~990℃保温1~2小时,油冷;
710~720℃保温16小时,空冷
室温
650
95
75
6320
15
3033.4~3.865040100
GH2135GH1351140℃保温4小时,空冷;
830℃保温8小时,空冷;
650℃保温16小时,空冷
室温 90
*82
60
60
13
10
16
13
33.4~3.8750 35
(30)
50
(100)
GH3030GH30980~l020℃,空冷室温
700
65-30 30------
GH4033GH331080℃保温8小时,空冷;
750℃保温16小时,空冷
室温 90
*82
60
60
13
10
16
13
3
3
3.4~3.8750 35
(30)
50
(100)
"} {"image_path": "images/0a68251e11f44ed45d70bb5439b6e12e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$u_0$$u_1$$u_2$$u_3$
$u_4$$u_5$$u_6$$u_7$
$u_8$$u_9$$u_10$$u_{11}$
$u_{12}$$u_{13}$$u_{14}$$u_{15}$
$l_0$$l_1$$l_2$$l_3$$x_0$$x_1$$x_2$$x_3$
$l_4$$l_5 $$l_6$$l_7$$x_4$$x_5$$x_6$$x_7$
$l_8$$l_9$$l_{10}$$l_{11}$$x_8$$x_9$$x_{10}$$x_{11}$
$l_{12}$$l_{13}$$l_{14}$$l_{15}$$x_{12}$$x_{13}$$x_{14}$$x_{15}$
"} {"image_path": "images/d8efc6ff148366ee2ea4f5a6ce0de156.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Coating typeVOC enissions,Kg/yr (tons/yr)
Ⅰ-25/40 Ⅱ-25/40 Ⅲ-25/40 Ⅳ-$25 / 40^{\\mathrm{a}}$ Ⅴ-25/40 Ⅵ-25/40 Ⅶ-25/40 VⅢ-25/40 ⅠX-$25 / 40^{\\mathrm{a}}$ Ⅹ-25/40 Ⅺ-25/40 Ⅻ-25/40 ⅩⅢ-$25 / 40^{\\mathrm{a}}$ ⅩⅣ-25/40ⅩⅤ-25/40 ⅩⅥ-$25 / 40^{\\mathrm{a}}$
Lower solids exterior 40.58(44.73) 40.58(44.73) 40.58(44.73) 40.58(44.73) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00)
Medium solids exterior 10.85(11.96) 10.85(11.96) 10.85(11.96) 10.85(11.96) 29.94(33.01) 29.94(33.01) 29.94(33.01) 0.00(0.00) 29.94(33.01) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00)
Higher solids exterior 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00)19.96(22.01) 0.00(0.00)19.96(22.01)19.96(22.01) 0.00(0.00)19.96(22.01) 0.00(0.00) 0.00(0.00) 0.00(0.00)
Waterbone exterior 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 1.37(1.51) 11.56(12.75) 1.37(1.51) 11.56(12.75) 11.56(12.75) 11.56(12.75)
Total exterior coatings 52.80(58.20) 52.80(58.20) 52.80(58.20) 52.80(58.20) 31.31(34.51) 31.31(34.51) 31.31(34.51) 21.33(23.51) 31.31(34.51) 21.33(23.51) 21.33(23.51) 11.56(12.75)21.33 (23.51) 11.56(12.75) 11.56(12.75) 11.56(12.75)
Lower solids EMI/RF I 19.86(21.90) 0.00(0.00) 0.00(0.00) 0.00(0.00)19.86(21.90) 0.00(0.00) 0.00(0.00)19.86(21.90) 0.00(0.00) 0.00(0.00) 0.00(0.00)19.86(21.90) 0.00(0.00) 0.00(0.00) 0.00(0.00) 0.00(0.00)
Medium solids EMI/RF I 0.00(0.00)10.52(11.59) 0.00(0.00) 0.00(0.00) 0.00(0.00)10.52(11.59) 0.00(0.00) 0.00(0.00) 0.00(0.00)10.52(11.59) 0.00(0.00) 0.00(0.00) 0.00(0.00)10.52(11.59) 0.00(0.00) 0.00(0.00)
Waterbone EMI/RF I 0.00(0.00) 0.00(0.00) 2.12(2.34) 0.00(0.00) 0.00(0.00) 0.00(0.00) 2.12(2.34) 0.00(0.00) 0.00(0.00) 0.00(0.00) 2.12(2.34) 0.00(0.00) 0.00(0.00) 0.00(0.00) 2.12(2.34) 0.00(0.00)
Total EMI/RF I coatings19.86(21.90) 10.52(11.59) 2.12(2.34) 0.00(0.00)19.86(21.90) 10.52(11.59) 2.12(2.34)19.86(21.90) 0.00(0.00) 10.52(11.59) 2.12(2.34)19.86(21.90) 0.00(0.00) 10.52(11.59) 2.12(2.34) 0.00(0.00)
Total emissions 72.66(80.10) 63.32(69.79)54.92(60.54) 52.80(58.20) 51.18(56.41) 41.83(46.11) 33.44(36.86) 41.83(45.41) 31.31(34.51) 31.85(35.10) 23.45(25.85) 31.43(34.64) 21.33(23.51) 22.08(24.34)13.69(15.09)11.56(12.75)
"} {"image_path": "images/015ddecfba66cbeee32caa54bd37513d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n = n+1
cont
enddo
? xb + \"共有\" + bj + str(n,3)+ \"人\"
endif
wait
clear
close all
set safe on
"} {"image_path": "images/043cab7e1381084e8355a71ba5c96fc2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号$QF_{23}JR_1$$-L_3$$QF_{23}JR_4$$-L_3$$QF_{25}R_3$$-L_3$$QF_{25}R_5$$-L_3$$QF_{23}JR_3$$-L_3$$QF_{25}JR_6$$-L_6$$QF_{23}JR_6$$-L_6$
操 作 方 式按钮式锁 式旋钮式推拉式旋钮式推拉式
公 称 通 径 mm36
介 质 温 度 ℃ $+5 \\sim+50$
环 境 温 度 ℃ $-5 \\sim+50$
相 对 湿 度 %≤95
工作压力范围 MP。0.05~0.8
流量特 性 S 值 $\\mathrm{mm}^{2}$≥3 ≥10≥10
额 定 流 量 $m^{3} / h$0.7 2.52.5
额定流量下的压力降 $M P_{a}$$ \\begin{array}{l}\\leq 0.025\\\\ \\end{array}\\quad\\leq 0.022 $≤0.022
泄 漏 量 $cm^{3} / s$$ \\leq 0.167 $
操作力常断型N≤29.4≤29.4$ \\leq 68.67 $
常通型$≤ 58.86$≤29.4≤29.4$ \\leq 58.86 $≤29.4$ \\leq 117.7 $
寿 命 (万次)>150
"} {"image_path": "images/1fca9979ce46cc188480b869788abdf3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
СмесьКислотаIIIIIIT.C.IIIIII
$HNO_3$90002020- 2070
$H_2SO_4$07010580 - 25- 10- 80
- 7001502 300
"} {"image_path": "images/05480fa1b40bfa8fb3eca31501517e03.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NO.RM.P. $\\left({ }^{\\circ} \\mathrm{C}\\right)$Yield $(\\%)$Analysis
Calculated (%)Found %
CHSNCHSN
1H-93-965145.285.6620.128.8045.275.4219.868.98
2$CH_{3}-$129-1307748.006.4118.508.0948.806.2218.188.16
3$\\mathrm{C}_{6} \\mathrm{H}_{5} \\mathrm{CH}_{2}-$$\\mathrm{C}_{6} \\mathrm{H}_{5} \\mathrm{CH}_{2} \\mathrm{CO} $129-1319962.656.2612.855.6262.206.0712.625.60
4$\\mathrm{NHCH_{2}-}$194-1959958.825.8810.459.1559.105.8010.619.22
"} {"image_path": "images/77224ab93644d1bde029a734dd858fba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
浸 漆 步 骤B 级绝缘,沉浸 1032 漆H 级绝缘,沉浸 1053 漆
温 度℃时 间温 度℃时 间
未包对地绝 缘 时包 2 或 3 次绝缘层后包 4 或 6 次绝缘层后未包对地绝 缘 时包 2 或 3 次绝缘层后包 4 或 6 次绝缘层后
预 烘 焙120±52~4h3~5h4~6h120±52~4h3~5h4~6h
第一次浸漆和烘焙沉 浸50~70$25 \\sim 30 \\mathrm{~min}$$25 \\sim 30 \\mathrm{~min}$50~70$25 \\sim 30 \\mathrm{~min}$$15 \\sim 20 \\mathrm{min}$25~30min
滴 漆室温40min以上室温$ 40\\mathrm{min} $ 以上
烘焙低温60~802~3h3~4h4~6h60~802~3h3~4h4~6h
中温135±5 先烘至半干状态,约3~4小时,再装夹具夹紧,烘5~8小时$ 10\\sim 12h $$ 12\\sim 14h $135±53~5h5~6h8~12h
高温----210±5装夹具夹紧$~~6 \\sim 9 \\mathrm{h}$8~10h$ 12\\sim 18h $
第二次浸漆和烘焙同第一次-同 第 一 次同第一次-同第一次
"} {"image_path": "images/7a2879d07f060c66e7699edd4b46ddc5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HenryHawaiiHungary
HelenHondurasHaiti
hailbehave
hateinhale
heelexhale
heatahead
hidebehind
hikeinherit
holeanyhow
homemanhood
hopewomanhood
hotchildhood
himparenthood
hernationhood
-h-h-h
is hisamhamahay
it hitathatehe
air hairashasihi
ear hearallhall0hoe
old holdandhanduhue
"} {"image_path": "images/f350d6bf307fc2806fa3f2255d9cc3c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x$\\mu(x)$exact$\\mu(x)$calculated$\\mu^{\\prime}(x)$Lal's results$\\mu^{\\prime}(x)$calculated
11110.990082
1.11.09531021.09530 2
1.21.18232151.18232 0
1.31.26236421.2623632
1.41.33647221.33647 6$\\frac{1}{x} $
1.51.40546511.40546 0
1.61.47000361.4700028
1.71.53062821.5306270
1.81.58778661.5877857
1.91.64185391.6418526
2.01.69314721.69314 10.5000000.502529
2.11.74428041.74427 8
2.21.79727181.79727 60.5374180.536069
2.31.85161761.8516159
2.41.90692871.90692730.5568630.556210
2.51.96290101.9628991
2.62.01929532.01929370.5653860.565164
2.72.07592212.0759200
2.82.13263032.13262860.5670670.567117
2.92.18929952.1892974
32.24583242.24583100.5643820.564607
3.12.30217742.3021764
3.22.35838852.35838780.5616470.561739
3.32.41452242.4145215
3.42.47061822.47061740.5608610.560885
3.52.52670152.5267003
3.62.58278792.58278690.5609150.560913
3.72.63888652.6388851
3.82.69500052.69499920.5612180.561212
3.92.75112962.7511280
4.02.80727082.80726940.5614580.561458
"} {"image_path": "images/5e0a6243e601bfbec9936f31f9290262.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
区 域阵 地预定数$\\text{已成数}^{\\circ}$未成数区 域阵 地预定数已成数未成数
京沪分区淞沪阵地451728沪杭甬分区乍乎嘉阵地84083010
吴福阵地22615769海盐 - 嘉兴阵地1128230
锡澄阵地2972970乍激甫海岸阵地1501500
首都分区首都城厢及沿江及东南阵地42340221江北分区南通靖江间阵地23023
江西北面阵地45450淮阴附近阵地48048
镇江附近阵地34034蚌埠阵地76076
芜湖阵地25223徐海分区海州附近阵地87870
徐州附近• 阵地175175 0
"} {"image_path": "images/445c08cfd7b891753d3f53c50a554fed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 4. Priority factors for four alter-native priority settings (cases)of land-use.
CaseDispersedRecreationDevelopedRecreationHunting TimberHarvestingWildlife
$p_{1}^{-} $$p_{1}^{+} $$p_{2}^{-} $$p_{2}^{+} $$p_{3}^{-} $$p_{3}^{+} $$p_{4}^{-} $$p_{4}^{+} $$p_{5}^{-} $$p_{5}^{+} $
11111111111
2$\\underline{\\text{b}}^*$1$\\underline{\\text{b}}^*$111$\\underline{\\text{a}}^*$$\\underline{\\text{2a}}^*$11
3$\\underline{\\text{b}}^*$1$\\underline{\\underline{\\text{a}}}^{**}$111$\\underline{\\underline{\\text{a}}}^*$$\\underline{\\underline{\\text{2a}}}^{**}$11
4:2 years11$\\underline{\\underline{c+1}}^{**}$111$\\underline{\\underline{\\text{e}}}^*$$\\underline{\\underline{\\underline{2\\text{e}}}}^{**}$11
4:12 years11$\\underline{\\underline{6c+1}}^{**}$111$\\underline{\\text{e}}^*$$\\underline{2\\text{e}}^*$11
4:36 years11$\\underline{\\underline{\\text{d}}}^{**}$111$\\underline{\\text{e}}^*$$\\underline{2\\text{e}}^*$11
"} {"image_path": "images/088fde4b709361e5730c95f38b9a3004.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
饮水情况种类其他
既往/日
生病后/日
"} {"image_path": "images/84782a548c21f6b9dc480d1757f07e1f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
000 0
5
6 5 325
2
3 2121
"} {"image_path": "images/1fca9979ce46cc188480b869788abdf3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
СмесьКислотаIIIIIIT.C.IIIIII
$HNO_3$.........90002020- 2070
$H_2SO_4$........07010580 - 25- 10- 80
- 7001502 300
"} {"image_path": "images/8a2726985efd71d1019bdfb82fe0d11c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
quán西一艹王
sgag
"} {"image_path": "images/ca2bad18443763ecf90c383116385ac3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目 名 称状 态显 示 值
LUSEL SOL OUT将换挡杆置于 P、N 位置ON
将换挡杆置于 R、D 或L 位置,并至少等待 5 sOFF
LUSEL SOL MON将换挡杆置于 P、N 位置ON
将换挡杆置于 R、D 或L 位置,并至少等待 5 sOFF
"} {"image_path": "images/a03d2f040b6472234da4522ac3202485.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一年級
二年級
寫 畫三年級
四年級
五年級
六年級
"} {"image_path": "images/58c957f792158c8255d0c5057797826b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
步骤药物是否溶解及pH值
1$\\mathrm{SD}+$ 蒸馏水
2加 $10 \\% \\mathrm{NaOH}$ 溶液
3加1:3醋酸溶液①对照管②加10% NaOH溶液③加水后的情况,再加10% NaOH溶液
"} {"image_path": "images/786b6610035d4bbbaa5910f9fafd0308.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PolynomialtermsDeterminantsizeDoubly symmetric modes (non-zero frequencies)
SS-1SS-2SS-3SS-4SS-5
1,1,5,1286·438938·5676240·5710952·5643352·74526
2,2,5,2375·768277·1357119·5151639·9440242·18487
3,3,5,2475·742647·0780617·1370132.2295534·00761
3,3,5,3525·737297·0676417·0436231·0853132·62337
3,3,5,4595·737297·0676417·0433631·0782632·61302
4,4,5,3665·736307·0656516·9619030·1715831·57172
5,5,5,3845·736007·0647916·9618230·1317531·53568
4,4,5,4735·736307·0656316·9618228·9617531·30956
5,5,5,4915·736007·0647716·9047129·9265231·27732
5,5,5,51005·736007·0647716·9046829·9245331·27415
6,6,6,61445·735967·0646416·8963029·9091531·25429
7,7,7,7196Numerical difficulties
Case 2: $h / b=0 \\cdot 5$
1,1,5,1283·893594·695939·0816410·1086611·03731
2,2,5,2373·799204·561728·647629·243769·97008
3,3,5,2473·798374·547078·076609·204229·49186
3,3,5,3523·793064·538278·052779·191099·90652
3,3,5,4593·791654·536388·044449·180969·90510
4,4,5,3663·792804·537928·041039·183869·90347
5,5,5,3843·792794·537918·040689·183689·90310
4,4,5,4733·791484·536168·034819·175899·90254
5,5,5,4913·791484·536158·034629·175799·90220
5,5,5,51003·791424·536108·034319·175369·90207
6,6,6,61443·791404·536078·034289·175229·90195
7,7,7,71963·791404·536078·034289·175209·90194
"} {"image_path": "images/e2a67fc510eb9ac3dd3fe14283f99f65.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
"} {"image_path": "images/a03d2f040b6472234da4522ac3202485.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一年級
二年級
寫 畫三年級
四年級
五年級
六年級
"} {"image_path": "images/fedb22b03c5c0aff6b424d2b7cc9ed45.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
比喻君主之官相傅之官仓廪之官将军之官作强之官
阴阳属性阳中之阳阳中之阴阴中之至阴阴中之阳阴中之阴
五行属性
与季节相通通于夏气通于秋气通于长夏通于春气通于冬气
生理特性1. 心为五脏六腑之主2. 心为火脏1. 肺为相傅主治节2. 肺为娇脏1. 脾以升为健2. 脾喜燥恶湿1. 肝为刚脏主升发喜条达2. 肝体阴而用阳1. 肾主封藏2. 肾为水火之脏
生理功能1. 主血脉2. 主藏神1. 主气司呼吸2. 主宜发肃降3. 主通调水道4. 朝百脉1. 主运化2. 主生化气血3. 主升清4. 主统血1. 主藏血2. 主疏泄1. 主藏精 (促进生长发育与生殖)2. 主一身之阴阳3. 主水液代谢4. 主纳气
生理联系所藏
在体
在窍耳、二阴
在液
在志
其华
藏神
合腑小肠大肠膀胱
"} {"image_path": "images/cc158039292228eda7fa0dd4ec528947.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
在册职工人数拟解除劳动关系人数企业人均工资水平经济补偿金总额人均补偿水平企业净资产
511511-8 328 040.0016 298.00400.00
企业负担总额主办企业负担总额财政补助总额
总额其中: 中央财政补助额省财政补助额市财政补助额
03 331 216. 004 996 824.002 498 412.002 498 412.00
国资监管部门审核意见劳动保障部门审核意见财政部门审核意见
公章: 经国资委资产评估该企业所有者权益负责人: 为0.04 万元2010 年10 月 27 日公章:负责人:2010年10月21日公章:负责人:2010 年 11 月 3 日
"} {"image_path": "images/9e0f314e5ff2595c2ecaa4dd01ce6ed4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Complete eradication (51)Incomplete eradication (19)Total (70)
EO AS EO + AS(24) (3) (24)EO AS EO + AS(14) (3) (2)
Mean no. oftreatments4.52.5
Mean period (days)50.032.9
Recurrence
no. of patients9 (17.6%)19 (100%)28 (40%)
mean interval(months)\t14.213.2
Rebleeding
no. of patients3 (5.9%)6 (31.6%)9 (12.9%)
mean interval(months)19.315.7
Sites of rebleedingcardiac 1esophageal 5
fornical 1cardiac 1
fulbar 1
"} {"image_path": "images/2ab1d7adf024015ad2cb602962bdeb89.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
注: C-记者或
通讯员
D-发出电

驻 在 国
德通
意讯
志社
罗通
马讯

亚社
苏新
 闻
联社
保通
加讯

亚社
捷克
克通
斯讯

伐 社
匈通
牙讯
利社
中和
华国
人新
民华
共社
波通
 讯
兰社
古洲
巴通
拉讯

美社
南通
斯讯

夫社
苏塔
 斯
联社
按国家总计
阿 根 廷DDDDDDDDD9
巴 巴 多 斯D1
巴 西DCDCC4
智 利CDCDCDCDCDCD6
哥 伦 比 亚CDCDDCD4
哥 斯 达 黎 加DD2
多 米 尼 加共 和 国CD1
厄 瓜 多 尔①DCDDDCD5
萨 尔 瓦 多 ②DDD3
圭 亚 那CDCDCDCD4
"} {"image_path": "images/b3df26e913cdfd1e3f27444267dffcfb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号工作项目进度安排完成者提交的文档
2002 年2003 年
6 7 8 9 10 11 121 2 3 4 5 6 7 8 9 10 11 12
1总体规划#分析设计组可行性研究报告
2系统分析#系统分析组系统分析说明书
3系统设计#系统设计组系统设计说明书
4硬件安装测试#硬件组硬件测试报告
5进度控制子系统开发#程序组程序说明书
6成本控制子系统开发#程序组程序说明书
7质量控制子系统开发#程序组程序说明书
8财务子系统开发#程序组程序说明书
9人员培训#分析软件组人员培训计划
10系统总调#各小组测试报告
11系统试运行#各小组运行结果
12系统评价#各小组总结
"} {"image_path": "images/54185807ba30828170409ad4101cdbe0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\alpha $$K_T$
$k=0^a$$10^{-3}$$10^{-2}$$10^{-1}$0.511.523
0.054.171-61.378-41.341-31.331-25.873-27.096-24.745-22.735-21.021-1
0.16.693-53.375-42.762-32.691-21.187-11.434-19.747-25.720-22.313-2
0.21.084-31.640-36.650-35.653-22.482-13.092-12.173-11.357-16.680-2
0.54.566-24.737-26.276-22.161-18.365-11.202-01.042-07.938-15.152~1
1.07.968-18.022-18.505-11.303-02.591-03.319-03.535-03.449-03.086--0
approx
0.05-1.334-41.334-31.328-25.86-27.06-24.71-22.70-29.76-2
"} {"image_path": "images/cc7296f7f910b151e7bfa5be0b723990.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
车次始发站始发时间终到站终到时间里程(km)旅行时间途经主要停车站(开车时间)硬座(元)硬卧(元)软卧(元)页码
快 速 列 车
K30广 州11:32北京西11:40229423 时58 分长沙19:41武昌23:30郑州5:062514567043
K31北 京15:50杭 州8:05166416 时15 分济南20:29上海西6:0119836155373
K32杭 州21:25北 京13:40166416 时15 分上海西23:33济南9:0519836155373
K35北 京13:50济 南18:39497 4 时49 分天津西15:1471 113软座73
K36济 南8:08北 京12:57497 4 时49 分天津西11:3471 113软座73
K55北京西15:20宝 鸡9:00137317 时40 分石家庄18:22郑州22:50洛阳0:461683074711
西安6:50
K56宝 鸡21:00北京西14:24137317 时24 分西安23:26洛阳5:17郑州7:201683074711
石家庄11:37
K61北京西20:00昆 明17:33318345 时42 分石家庄22:49郑州3:04武昌8:563185768891
长沙12:46贵阳5:37
K62昆 明16:03北京西13:40318345 时37 分贵阳4:16长沙20:54武昌0:573185768891
郑州6:49石家庄11:00
K75北京西15:10 兰 州16:43187625 时33 分石家庄18:04郑州22:19洛阳0:072133885991
西安5:36
K76兰 州9:45北京西11:06187625 时21 分西安20:44洛阳2:15郑州4:052133885991
石家庄8:18
K79北京西8:10武 昌21:03122512 时43 分石家庄10:58郑州15:051041892882
K80武 昌7:22北京西20:27122513 时5 分 郑州13:37石家庄17:401041892883
K87北京西22:08贵 阳8:23254434 时15 分石家庄1:06郑州5:21武昌11:092694887531
长沙15:01
K88贵 阳22:00北京西8:10254434 时10 分长沙14:41武昌18:30郑州0:202694887531
石家庄5:17
K89石家庄10:13广 州8:33201722 时20 分郑州14:48武昌20:43长沙0:312244076262
K90广 州15:44石家庄13:59201722 时15 分长沙23:53武昌3:42郑州9:342244076263
K94/91沈阳北19:20广州东6:02310034 时42 分北京西5:05郑州11:51武昌17:41318567873128
长沙21:34
K92/93广州东23:12沈阳北10:10310034 时58 分长沙7:47武昌11:41郑州17;273185678733
北京西0:15
"} {"image_path": "images/e24bf055016522d65d525ea2386fd8bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$n^2$$\\psi_\\text{B}^\\circ$$\\psi_\\text{##}^\\circ$$\\cot^{-2} |n|$(Approx. ${0_B}^\\circ$)$$R_v L\\phi_v$$\\psi = \\psi_\\text{B}^\\circ$$R_v L\\phi_v$$\\psi = \\psi_\\text{90}^\\circ$$\\tan\\left[ \\frac{1}{4} \\tan^{-1} \\frac{X}{\\epsilon_r + 1} \\right] \\quad\\\\(\\text{Approx } R_{V\\text{ min}})$
81 - j1084 . 92634 . 92654 . 9191$0 . 2345 # -90 . 004$$0 . 2345 # -90$0 . 2345
10 - ji 17 . 511517 . 512417 . 5075$0 . 0224 # -90 . 064$$0 . 0224 # -90$0 . 0227
1 - j1018 . 188418 . 340717 . 5075$0 . 3597 # -90 . 724$$0 . 3598 # -90$0 . 3575
2 - j1017 . 988418 . 120417 . 3875$0 . 3328 # -90 . 419$$0 . 3328 # -90$0 . 3312
2 - j329 . 044030 . 000027 . 77310 . 1995 # -94 . 278$0 . 2000 # -90$0 . 1989
$0.6 - j0.8$48 . 282090 . 000045 . 0000$0 . 1530 # -128 . 984$$0 . 2361 # -90$0 . 1164
$0.5 - j0.1$54 . 9228Docs notexist54 . 4703$0 . 0462 # -228 . 065$---0 . 0166
$0.1 - j0.5$59 . 9027Docs notexist54 . 4703$0 . 3293 # -140 . 299$---0 . 1071
"} {"image_path": "images/118647be53fc19a30336205fd62fa593.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工 程 项 目定额编号单位预算价值其 中人 工材 料
人工费材料费二次搬运费机具费基本工其它工合计工日工资等级白灰膏砂子其它材料 费
工 日kg$m^8$
0.01813.58
勾抹横竖直缝门窗口边4710m1.640.780.460.160.240.250.050.303.60.46
堵抹过墙管洞4810个5.410.933.990.200.290.300.060.363.620.60.210.77
铲残损灰皮砂子白灰底4910$m^2$0.940.620.130.190.200.040.243.6
大 泥 底5010$m^2$0.480.310.310.070.100.100.020.123.6
水泥刷石磨石底5110$m^2$1.420.930.200.290.300.060.363.6
"} {"image_path": "images/d1b218a1b02b8c9f15160ae888a33171.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PM${M^2 /{ }_3}$$a_{15}$$\\frac{\\alpha-\\alpha_{15}}{M^2 /{ }_3}$
KCl22⋅923⋅5542⋅32890·00·00
08924255
19⋅212⋅9092⋅037810124274
12⋅131⋅7551⋅45512794151
7⋅481⋅0511⋅033714893811
3⋅830⋅5260⋅6516116673314
$KNO_3$21⋅462⋅4301⋅807511803889
16⋅591⋅8201⋅490713113837
14⋅261⋅5411⋅334213913687
8⋅440⋅8790⋅9908215593270
4⋅730⋅4820⋅6147516833253
$\\mathrm{K}_2 \\mathrm{CO}_3$41·814⋅3522⋅6656016064639
30⋅992⋅9392⋅057802857788
24⋅132⋅1561⋅668904628514
16⋅471⋅3761⋅237107619069
8⋅830⋅6900⋅780811838964
4⋅530⋅3410⋅488115017826
2⋅820⋅2090⋅3521816287240
NaCl23⋅844⋅8152⋅851405954517
14⋅782⋅8011⋅98709254821
11⋅092⋅0491⋅613211304667
4⋅470⋅8250⋅879615483808
$\\mathrm{NaNO}_8$37⋅435⋅7113⋅19505784084
27⋅953⋅9802⋅511508104272
19⋅772⋅6561⋅917810524333
11⋅161⋅4131⋅259213704074
5⋅570⋅6790⋅7725316033625
"} {"image_path": "images/fa2dcd1ae244baabe6235bf7dbd7cb06.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
最低收入户低收入户 中等偏下户 中等收入户 中等偏上户高收入户 最高收入户
占总户数比重%10102020201010
占总收入比重19876.98.117.719.621.412.014.3
19926.47.617.219.421.812.515.0
"} {"image_path": "images/5b4337d399af71d1d1be284f83b4e15a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PERIOD891011121314
MONTHAUGSEP OCTNOYDECTOTALPERCENT
INCOME2000200020002000200023000
MORTGAGE 600600 600 6006006007200.313043
LITES 8550 50501001401030.044783
TELEPHON7575 75757575900.039130
LIFE INS 1151151151151151380.06
FODD3503503503503504200.182609
CLOTHING12)1201201201201440.062609
SAV INGS176.667 176.667 176.667 176.667 176.667 21210.00.092174
LEISURE 473.333 513.333 513.333 463.333 423.333 4730.00 .20565
SAVING
CAR INSU 320,013913
RATE 4.30 5.05 5.81 6.57 7.33
100.00 1212.11 1393.82 1576.30 1759.53 1943.53 6673.53
"} {"image_path": "images/38bca98b10d4c28db9ba4519e476d982.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
胎别輪 胎尺 寸簾布层数 充气压力(公斤/公$分^2$)每隻輪胎最大荷重量(公斤)胎别輪 胎尺 寸簾布层数 充气压力(公斤/公$分^2$)每隻輪胎最大荷重量(公斤)附記
最大負荷最小負荷最大負荷最小負荷
低压胎5.00—16421.75400低压胎11.00—20125.53.52.150 压应車按輛照前制后造輸厂載家重的情規况定各执有行不同充气气
6.00—1642.2246012.00—2014 5.54.252.400
6.50—164—621.555014.00—20206.353.800
7.00—164—62.251.56009.75—181253.51.700
7.50—1662.52.2565010.00—181253.51.700
6.50—2063.252.570012.00—22146.32.670
7.50—208431150高压胎30 × 585.65.3780
8.25—201043125032 × 68—1065.31.000
9.00-20104.53.25155034 × 710—126.361.250
10.00—20125.253.5180036 × 8126.76.31.800
15.50—20125.53.5 200038 × 914 76.72.000
"} {"image_path": "images/77fc00b5a6490330589968a583689f58.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n \n \n \n\n\n \n \n\n\n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n
MoleculeReference linesAbundance (%)
Sample enriched by $^{18}\\text{O}$Natural
$\\ce{H2^{16}O}$Régalia et al. [1]4.0599.73171
$\\ce{H2^{18}O}$95.01060.199983
$\\ce{H2^{17}O}$Régalia et al. [1]0.5870.0371884
$\\ce{HD^{16}O}$Hitran2016 [23]0.01670.0310693
$\\ce{HD^{18}O}$Mikhailenko et al. [37]0.32$6.23003\\times10^{-5}$
$\\ce{HD^{17}O}$Mikhailenko et al. [37]0.0157$1.15853\\times10^{-5}$
"} {"image_path": "images/429c1ab5132388a5693bc325e129823e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
非 渋 滞 流渋 滞 流
自 由 車追 従 車追 従 車
$\\xi _{I}$a$_{I}$-0.07496$\\xi _{r}$a$_{r}$-0.01033$\\xi _{c}$a$_{c}$-0.06947
b$_{I}$2.8770b$_{r}$0.5827b$_{c}$2.2664
$\\zeta_{1}$C$_{I}$0.8917$\\zeta_{r}$c$_{r}$0.5691$\\zeta_{c}$C$_{c}$0.4012
W$_{I}$、W$_{r}$A$_{w}$0.6850$a_{I}, a_{r}, a_{c}$ の次元は $1 / v p m$
B$_{w}$0.0605
"} {"image_path": "images/853cc5a2313e82eca50389253f835b5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
补 退 户违 法 金 额补 退 罚 款 %
总 计506450572116
其中:基 本 守法1631098999.1
两 半 户298179022912.8
严 重 违 法3593819120.3
定 金 违 法1067920229.8
"} {"image_path": "images/5e62b2ac7207325f6ba1b3b5dc2a3023.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\theta$$i$$\\theta$=1$\\theta=10^{-1}$$\\theta=10^{-3}$$\\theta=10^{-4}$$\\theta=0$ $\\theta$$i$$\\theta$=1$\\theta=10^{-1}$$\\theta=10^{-3}$$\\theta=10^{-4}$$\\theta=0$
00.08560.15030.15580.1558260.81080.84090.86110.8610
20.22880.28300.28960.2896280.81150.87050.92920.9293
40.40730.47330.39580.3958300.87430.81190.79410.7942
60.57260.55890.61530.6151320.78560.80690.79230.7923
80.67710.56340.52360.5234340.83850.84510.84720.8472
100.79650.80050.79420.7942360.84100.82630.83770.8377
120.85850.85190.87820.8787380.84120.84950.85460.8542
140.86130.87210.86340.8633400.84960.84320.84180.8418
160.84000.79470.83090.8312420.68970.69280.67330.6733
180.83820.87830.84680.8468440.22110.22200.21130.2113
200.83710.85200.78790.7877460.02400.0106$0,971·10^{-2}$$0.971·10^{-2}$
220.83250.82180.73890.738948$0.198·10^{-2} }$$0.275·10^{-3} }$$0.246·10^{-3} }$$0.246·10^{-3} }$
240.84420.81420.88790.8879
"} {"image_path": "images/6758c88e4062f0a26891de2642ccf813.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号名 称规 格备 注
1干涉滤光片峰值波长(nm)360~430430~450500~560600~700 峰值波长以检定后实际测得的数值为准
2交流稳压电源$_{220}V_{0.5k}$VA, 稳定度0.5%必要时可用适当直流电源
3调压器 $_{0.5k} V A$
4频率表45~65Hz, 精度 0.5 级$\\mathrm{D}_{3}-\\mathrm{Hz}-1$
5兆欧表试验电压500V$ZC_{25-3}$
6交流电压表150/300V,精度1.0级$T_{21}-V$
7秒 表分度值不大于0.1s
8比色皿光径10mm
"} {"image_path": "images/d11f155f3c75b52f31d60df416e35aac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目数量单位种类总数其 中混 编步 兵 连 编 制预 备 役 连 编 制备注
普通基干建制人数建制人数
步 兵固 井187105821一排1(部)137一排1445 高炮高 编炮 制指 ,挥 高排 炮1 营个 部。 1个,
测 井208120881二排251二排1337
管 子 站12253691三排132三排1337
机 关1111连部111
炮 兵机 修 厂2431201231
合 计77139837331141401310130
"} {"image_path": "images/b8dbdbb14c37b6a78d0cdc15b46411f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组别(人数)性 别专 业高中就读学校类型
文科理工科农医省重点市重点区/县重点其它
高分组(236 人)14059%9641%4017%18076%167%12553%3716%4921%2511%
低分组(236 人)20788%2912%229%21290%21%9139%4117%6025%4419%
"} {"image_path": "images/1e36cca107412b3f7722d4a82747cb45.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
作者病例数方法初次成功率疼痛残留或复发随访(月)
Rosenthal 等,2003[71]$117^a$RFA91% (107/117)5% (6/117)NS
Rimondi 等,2005[72]97RFA84.5%(82/97)15.5% (15/97)NS
Vanderschueren等,2002[73]97RFA76% (74/97)24% (23/97)41 (5-81)
Lindner 等,2001[74]58RFA95% (55/58)5% (3/58)NS
Woertler 等,2001[75]47RFA94% (44/47)6%(3/47)22
Cioni 等,2004[76]38RFA79%(30/38)21% (8/38)12-66(35.5)
Gangi 等,1998[77]28LITT93% (26/28)7% (2/28)12
Witt 等,2000[78]23LITT96% (22/23)4% (1/23)15
Ghanem 等,2003[79]23RNA100% (23/23)0%(0/23)43
Gebauer 等,2005[80]17( RFA 8,LITT 12)RFA/LITT82.4% (14/17)17.6%(3/17)28 (4-51)
Gallazzi 等,2001[81]15RFA93% (14/15)7%(1/15)NS
Barei 等,2000[82]11RFA91% (10/11)9%(1/11)NS
Venbrux 等,2003[83]9RFA56% (5/9)44%(4/9)10.3(1-26)
Sequeiros 等,2003[84]5LITT80%(4/5)20%(1/5)NS
Total( RFA/LITT)58886.7%12.1%
(520/68)( 87%/91.1% )(12.5%/9%)
"} {"image_path": "images/4823e0996520c451ee67044706203a34.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
例号 門 診病志号碼姓 名性别年龄主 要 症 状脉象血針次数治疗效果
眩晕昏憒头痛头胀目不欲睁呕吐便秘四肢厥冷四肢无力痊愈显效进步
142921于 × ×28++++-----沉 弱7+
215996王 × × \"31++++++-+-实大3+
344563王 × ×\"52+-+------滑 洪2+
459290高 × ×\"25+-+++----4+
550436王 × ×29+-+-----+沉 弦3+
657196赵 × ×17+-+------5+
7109312陈 × ×\"51+-+++--+3+
842077张 × × \"41+-+++---5+
957795赵 × × \"17+++++ -+2+
10住院号2453董 × × \"28--+++--+3+
"} {"image_path": "images/8de5c6db096964bb5ec496e40b131908.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A-BB-bA-CV. Cat.
$_{''}$$_{''}$$_{''}$
*H$_{2}$. 314.440.014.52.0278.050.0
Sm. 317.035.015.03.0275.050.01836 68
Bu.308.767.410.46.0275.986.31878.6
"} {"image_path": "images/5d54a649ae5d00ba06be92242f32da5a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
室内机显示灯被认为是故障的地方零件检查方法备 注
电源定时运转
制热时,蒸发器温度上升(68℃以上),或室内机风量小1.过滤网堵塞2.热敏电阻异常3.室内机控制基板4.室内风机 1.目视2.检查电阻值3.内板的室内风机端子处无电压4.检查零件是否破损、接触不良
CT 断线保护CT 线圈1.检查 CT 线圈是否导通
功率模块异常 功率模块控制信号接触不良检查连线是否接触不良
通信异常 1.连机线误配,接触不良2.室外机附近有噪声1.检查误配线、接触不良2.室外机附近有高频率机器
排气管温度超过120°C 1.漏气2.排气管热敏电阻异常 1.检查泄漏点(用试运转或应急运转固定压缩机频率数测定压力,根据压力判断)2.检查电阻值
电压不足1.电源容量不足2.电源瞬时停止1.检查专用回路、配线粗度2.再运转以确认动作
控制基板异常室内控制基板通电15s后报警为内板故障 只适用于 28、360DBPF
室外控制基板遥控开机20s后报警为外板故障
微 处 理 器 读 入EEPROM 数据有错误室内机 EEPROM 异常重新上电观察是否正常
室外机 EEPROM 异常重新上电观察是否正常
"} {"image_path": "images/045ea378b1ab7fac6af539dd719e3374.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
脚号引脚符号引脚功能备 注
20Table P2. 2(A10)8位双向I/O口 该集成电路是美国AT-MEL公司生产的低电压、高性能CMOS8位单片机,片内含4KB的可反复擦写的只读程序存储器和128B的随机存取数据存储器(RAM),片内置通用8位中央处理器(CPU)和FLASH存储单元,采用PQFP/TQFP封装,应用在LCRT-44NA41背投彩电上。内部框图见图2-9
21P2. 3(A11)8位双向I/O口
22P2.4(A12)8位双向I/O口
23P2. 5(A13)8位双向I/O口
24102.A14)8位双向I/O口
25P2. 7(A15)8位双向I/O口
26$\\overline{\\text{PSEN}}$ 程序储存允许输出(是外部程序存储器的读选通信号)
27$\\text{ALE}/\\overline{\\text{PROG}}$地址锁存允许/输入编程脉冲
28NC空脚
29$\\overline{\\text{EA}}/\\text{VPP}$外部访问允许
30P0.7(AD7)8位双向I/O口
31P0.6(AD6)8位双向I/O口
32P0.5(AD5)8位双向I/O口
33P0.4(AD4)8位双向I/O口
34PO.3(AD3)8.位双向I/O口
35P0.2(AD2)8位双向I/O口
36P0.1(AD1)8位双向I/O口
37P0.0(ADO)8位双向I/O口
38VCC电源
39NC空脚
40P1.0(T2) 8位双向I/O口(定时/计数器2外部计数脉冲输入)
41P1.1(T2 EX) 8位双向I/O口(定时/计数器2捕获/重装载触发和方向控制)
42P1.28位双向I/O口
43P1.38位双向I/O口
44P1.48位双向I/O口第10位汉
"} {"image_path": "images/3a6d67da6224079eee235ef63ecf3cc0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省别法院緩刑之人數 曾 否 受 刑現 科
未 上曾 刑受 之拘 宣役 告以 者前之或内上受宣免未刑拘告除曾之役孰後受宣以行三拘吿上完年役者刑畢以以
二年一年以上
湖北武 昌 地 方 法 院146146212
夏 口 地 方 法 院40940954
宜 昌 地 方 法 院303017
黄 岡 地 方 法 院1414
湖南高 等 法 院31315
長 沙 地 方 法 院661
常 德 地 方 法 院252516
邵 陽 地 方 法 院2727
福建高 等 法 院992
閩 侯 地 方 法 院202011
閩 侯 地 方 法 院南 台 分 庭66
思 明 地 方 法 院33
莆 田 地 方 法 院城 區 分 庭22
晉 江 地 方 法 院11
建 陆 地 方 法 院44
廣東廣 州 地 方 法 院33
潮 梅 地 方 法 院44
"} {"image_path": "images/01616c9a37f5843400810ea89f984065.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工人姓名上月的評分日期平均評分
23456.........
叶尔米施基娜4.8035554
卡拉施尼柯娃4.8955555
瓦西里也娃4.8055455
..................
..................
"} {"image_path": "images/4c77f2401a3e4a3e3bb9f30364355026.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
潜在量方程式的变量油藏存在与否的因素备注
条件概率 (大于) (%)存在或适宜的有关因素边 缘概 率
1009575502550
闭合面积1101823253350成何种几何形状的闭合0.8
储层厚度104090岩相1
孔隙度0.080.120.16孔隙率0.8
圈闭充填率0.050.40.7封闭 (盖层)1
采收率0.35时机0.5
含油饱和度0.25油源岩0.5
压缩率0.7保存状况1
气所占比例0.5采收率1
勘探目标数目381520254060
平均深度8000英尺
乘积(成功率)0.16
"} {"image_path": "images/b666cc7bdc214c08a1131f7b2ab11c62.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OccupationDeeringCalifornia Code,Annotated Busi-ness and Pro-fessional CodeCitizenshipRequirement
Accountant5081No
Architect5552No
Attorney6060Yes*
Barber6545No
Chiropractor1001No
Cosmetologist7332No
Dentist1028No
Dental Hygienist1740No
Embalmer7643No
Engineer6751No
Manicurist7351No
Midwife————
Midwife Nurse2736No
Optician2552No
Optometrist3044No
Pharmacist4089No$\\dagger$
Physical Therapist2635No
Physician2193No$\\ddagger$
Practical Nurse2866No$\\dagger$
Podiatrist2313No
Psychologist2914No
Education Code
Teacher13103No
Veterinarian4846No
"} {"image_path": "images/9a9c7a94627e7c10b027e283b9dd278b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名 称 配 方性 能 及 用 途
14 号 防 锈 脂(217脂)SY 1575-77 S氧化石油脂锂皂1.5% 适用于内燃发动机封存,也可用于钢、铜等零组件、工具材料的长期封存
丁苯橡胶1%
烷基酚钡(711A)2.5%
变压器油20%
航空润滑油HH-20余量
21 号 防 锈 脂SY 1517-65硬脂酸铝10% 适用于内燃发动机封存,也可用于零组件长期封存。对钢铁效果好,对铜合金有腐蚀
油 酸6%
三乙醇胺6%
正丁醇8%
冬用枪油70%
3柴 F -18石油磺酸钡3~5%柴油机内燃机用
羊毛脂镁皂3~5%
车用机油余量
486 号 防 锈润 滑 油10号车用机油100份 适用于内燃机的防锈封存及润滑
二壬基萘磺酸钡5份
石油磺酸钙2份
二烷基二硫代磷酸锌0.5份
抗凝剂0.3份
甲基硅油10ppm
572 号 防 锈润 滑 油10号车用机油100份同 上
二壬基萘磺酸钡5份
司本-800.3份
甲基硅油10ppm
抗凝剂0.3份
二烷基二硫代磷酸锌0.5份
6 涡 喷 发 动 机用 防 锈 润 滑 油石油磺酸钡1% 涡喷式航空发动机的防锈润滑油
苯三唑0.1%
2-硫醇基苯骈噻唑0.01%
磷酸三丁酯0.4%
羊毛脂1%
硅油5ppm
"} {"image_path": "images/4ea78b419f0243624f6cf802f2ae69d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
民國十八年民國十九年民國二十年
借入款額百 分 比借入款額 百 分 比借入款額百 分 比
信用借款$12,35858,77$22,65065.84$33,50368.45
抵押借款8,66841.2311,75134.1615,44131.55
抵押田地 8,388 39.90 11,416 33.18 15,331 31.37
抵押房宅 250 1.19 305 0.89 90 0.18
抵押房屋 30 0.14 30 0.09
總 合 21,026 100.00 34,401 100.00 48,944 100.00
"} {"image_path": "images/8c32b2473b7e50befe239d19880290a3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
北京理工大学出版社电气控制与PLC技术(三菱)/王蜀明978-7-5763-0415-2机电技术应用21/1043.00
北京理工大学出版社传感器与检测技术/张吉沅978-7-5763-0617-0机电技术应用21/1141.00
北京理工大学出版社PLC编程与应用(西门子)/程月978-7-5763-0114-4机电技术应用21/0847.00
北京理工大学出版社电气工程识图与绘制/秦小滨978-7-5763-0642-2机电技术应用21/1138.00
北京师范大学出版社触摸屏技术及应用/孙世忠付宁宁978-7-303-14034-3机电技术应用19/0821.00
北京师范大学出版社电子技术基础与技能/张荣荣宋兆霞978-7-303-27271-6机电技术应用22/0345.80
北京师范大学出版社电工技术基础与技能/周厚斌贾红霞978-7-303-15014-4机电技术应用19/0818.00
北京师范大学出版社典型电气控制线路安装与调试/王传艳 宋瑞娟978-7-303-25249-7机电技术应用21/0143.80
北京师范大学出版社单片机技术项目式教程 ( C语言版 ) /徐胜978-7-303-19391-2机电技术应用20/1232.00
北京师范大学出版社电子产品安装与调试/王传艳978-7-303-14750-2机电技术应用20/0126.00
北京师范大学出版社三菱 FX2N 系列 PLC 编程及应用/王传艳 武娟978-7-303-25248-0机电技术应用21/0147.80
北京师范大学出版社机电专业学习导航/石兆胜李善亮978-7-303-19303-5机电技术应用21/0330.00
北京师范大学出版社变频器技术及应用/王传艳张兆明978-7-303-21919-3机电技术应用21/0129.00
北京师范大学出版社普通机床电气维修/万吉滨978-7-303-18578-8机电技术应用21/0823.00
北京师范大学出版社MCGS 触摸屏组态控制技术/王传艳 陈婧978-7-303-19403-2机电技术应用20/0332.00
"} {"image_path": "images/cdbb4bb53b39a3f8f67029deda7e6fb9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1848E1849NOVE HORAS DA MANHAQUATRO HORAS DA TAROE
MAXIMA#1N#AMEDIAMA#IMAMINIMAMEDIA
polpolpol
Dezembro30,0329,3129,85polpolpol
Janeiro. .30,2629,1729,9930,2029,1329,96
Fevereiro30,1529,8430,0230,1329,0029,98
Marco . .30,1929,3429,9230,1829,3329,86
Abril . . .30,0529,5029,8030,0329,4829,78
Maio . . .29,9629,5029,7529,9529,5729,78
"} {"image_path": "images/b56c35167c13536f4f2ee32d4b3e311a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Da-tumMengeccmNgHarn-stoff-Ng$ \\begin{array}{l}\\mathrm{NH}_{3}-\\\\ \\mathrm{~N}\\\\ \\mathrm{~g}\\end{array} $Amino-säuren-Ng$\\frac{\\text{NH}_2\\text{-N}}{100\\ \\text{N}}$$\\frac{\\text{NH}_3\\text{-N}}{100\\ \\text{U-N}}$ Be-merkungen
1.I.1324,903,840,2380,0964,866,20
2.1545,364,640,2370,1384,415,11
3.1806,525,360,3390,1715,206,32
4.1536,144,870,4240,1226,908,52
5.1686,585,750,3770,1475,727,17
6.1546,425,180,3310,1345,166,38
7.1786,525,240,3050,1644,685,82
8.34215,5013,400,3810,2152,462,85$\\begin{aligned}&\\text{a) } 20\\ \\text{g} \\\\&20\\ > \\\\&20\\ >\\end{aligned}\\Bigg\\}\\begin{aligned}&\\text{Harn-} \\\\&\\text{stoff} \\\\&\\text{per os}\\end{aligned}$
9.32015,3812,760,5270,2603,434,12
10.28815,1112,380,6480,3494,285,24
11.1286,114,720,5470,1478,9811,60
12.1246,014,580,4570,2367,399,52
13.1435,504,640,3980,1917,248,58
14.1385,113,890,3500,2116,849,00
15.1745,874,790,3700,2386,307,94
16.32414,5813,610,3530,2942,422,59$\\begin{aligned}&\\text{b) } 20\\ \\text{g} \\\\&20\\ > \\\\&20\\ >\\end{aligned}\\Bigg\\}\\begin{aligned}&\\text{Harn-} \\\\&\\text{stoff} \\\\&\\text{subcut.}\\end{aligned}$
17.29015,9814,820,5470,2673,423,68
18.31014,7413,750,4480,3453,023,26
19.1806,504,600,7960,24112,2517,32
20.1815,894.820,3840,3136,527,97
21.1845,984,760,4970,2958,3110,45
22.1255,684,420,4220,1827,439,55
23.1325,753,990,3320,2315,788,31
24.1585,654,170,5280,2419,3412,65
25.1845,944,390,4550,2367,6610,35
26.1885,494,500,3590,2496,567,97
27.1755,594,630,3480,3156,227,52
"} {"image_path": "images/6535073fd17bc402a0e6a73ae644d58f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
固定资产
设备30000
减去累计折旧2800
家具200027200
减去累计折旧1500
空调器1200018500
减去累计折旧2000
建筑物500010000
减去累计折旧3500
酒类执照46500
土地5000
固定资产小计12000119200元
资产总计158900
负 债
流动负债
应付货款10700:元
应付工资款12000
应付员工税金3000
应付抵押款2000
应付银行票据3000
应付设备合约款5000
流动负债小计35700 元
长期负债
银行票据20000
设备合约款20000
抵押款32000
长期负债小计7200
"} {"image_path": "images/ace0fc8456879f9a80789be77b0a3691.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编号民 族 名 称人数 (单位: 千人)
1948年1959年
229总人数54066450
北部班图语族31193870
基库尤人 (包括梅鲁人,安布人)15541880
233巴卢赫亚人 (包括巴吉舒人、巴萨米阿人、巴基西人、巴库里阿人)10251240
230阿坎巴人612750
东部班图语族423493
259瓦尼卡人和瓦泰塔人302350
"} {"image_path": "images/40fd562674c0d0715453e4e1cb57291a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
抵抗 (Ω)$\\infty$$10^{10}$$10^{9}$$10^{8}$$\\infty$$10^{10}$$10^{9}$$10^{8}$
直列又は並列並列直列並列並列直列各個並列直列各個
試料 No. 1185 mV40 mV5.5 mV.50 mV---------
試料 No. 2190---340 mV--
試料 No. 3169559.31.2116 mV310 mV70 mV15 mV5.5 mV(28 mV)1.8 mV0.50 mV(34.5 mV)
試料 No. 1185405.6.50-23 mV-34 mV
"} {"image_path": "images/0c513d18e75ed631687242a5d5696db6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
事。其車臣汗之兵命納木扎爾额爾德尼済農車臣汗土謝#汗堅爾根濟慶等協力相機行可信##克#偷河面來至車臣汗之地则令在京師興兵之事必傳聞不#然##丹役不上諭曰,近已遣使與#丹約信而歸今其#使尚额#德尼##所宜二月二十日至車臣汗#木扎#定七庚戌恃衙阿南#奏報#頭丹#形阿南#機宜汝宜書之以往汝古英寨桑等在京#草長始遣之也此兵事共尚强#故巢則往說之若開其使人则曰乃往#展界耳。如#爾丹敗#則諭之#降,如吾鳥得而知之彼如問兵來之故則曰非兵也且因塞外多#不知歸自何路似此在在遣#
"} {"image_path": "images/b08d1c84aba35cda2e8c9c91b0447d0a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
行动计划执行项目方法 1:
时间期限
备注:
"} {"image_path": "images/9ea19d0b71f779b84d337a6fe9fd63fc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
置 换 方 法锌 粉锌 丝 置 换
项 目置换单耗,kg/t单位成本,元/ t单耗, kg/t单位成本, 元/t
置换成本0.6161.670.209.24
醋酸铅0.2060.76-0.74
滤 布0.0940.25- -
滤 纸0.17张/t0.10--
电 力6.13 kWb/t.44--
工 资-0.39-0.30
设 备-0.16-0.50
合 计-3.7710.34
冶炼成本柴 油6.8kg/ kg3.20元/ kg157.44kg/ kg .8.0元/ kg
硝酸铵1.28 #0.32 #--
硫 酸7.04 #3.52 #19.52 #9.92 #
火 碱3.20 #2.88--
硝 酸0.06 #0.32 #-1.70 #1.28 #
硼 砂0.64 #0.64 #4.16 #5.76 #
电 力43.52 kWh / kg2.88 #19.17kWb/ kg1.28 #
坩 埚0.96个/ kg1.92 #10.56个 / kg8.32 #
工 资-4.80 #-5.12 #
合 计-20.48-39.68 #
"} {"image_path": "images/dc3e5917103924bd6742655f4e63d157.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
切变率年龄性别230mPas115mPas38.4mPas19.2mPas9.6mPas5.75mPas细 胞压 积人 数
女性> 61岁5.6226.4378.0409.30811.66214.26639 %10
±0.66$\\pm 0.915$$\\pm 1.307$$\\pm 1.529$$\\pm 2.631$$\\pm 3.216$
51~60岁5.5506.4018.1059.99112.22813.9374 2 %30
$\\pm 0.664$$\\pm 0.886$$\\pm 0.918$$\\pm 1.340$$\\pm 2.322$$ \\pm 2.980 $
41~50岁5 . 6036.3738.9169.88512.34614.82140 %30
$\\pm 0.693$$\\pm 0.933$$\\pm 1,108$$\\pm 1.492$$\\pm 2.297$$\\pm 3.083$
< 40岁5.8646.7098.45510.24812.52214.77539 %30
$\\pm 0.657$$\\pm 0.831$$\\pm 1.034$$\\pm 1.585$$ \\pm 1.901 $$\\pm 2.273$
平 均 数5.6616.4808.3799.85812.18914.44940 %100
$\\pm 0.138$$ \\pm 0.154 $$\\pm 0.401$$ \\pm 0.397 $$\\pm 0.371$$\\pm 0.424$
"} {"image_path": "images/0fcc11703eec0dd6a75ffbbbe8349cfa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Collat.Trop. Canc.CeciasChorus
Medij. Acquator. Subiolanus Fauoning #& Zephi.
Collat.Trop. Cap.Eurus qui& Vultur.Affricus #& Lybs
Collat.Meridies Media nox
EuronothusSeptẽtrio
Medij$\\text{Aufter/# &}$NothusAquilo qui& Boreas.
Collat.LybonothusTrachias #& Circius
"} {"image_path": "images/f583a77f59fd0b108ac8b1e219f5a4f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ⅰ 組 $\\text{(黑 心 铁)}^{➊ }$
生 鉄 牌 号$\\sigma_{b}$(公斤/平方公厘)不 低 於 ${\\delta \\%}$直徑为16公厘的試样不 小 於布 氏 硬 度不 超 过
КЧ37-123712149
KЧ35-103510149
KЧ33-8338149
KЧ30-6306163
Ⅱ 細$\\text{ (白 心 鉄)}^{➋}$
生 鉄 牌 号$\\sigma_{b}$(公斤/平方公厘)不 低 於${\\delta \\%}$試样直徑(公厘)布 氏 硬 度不 超 過
1612
KЧ40-34034201
KЧ35-43545201
KЧ30-33034201
"} {"image_path": "images/b2fe2b08a70e554dcc39f272b41cc1b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号目 标现状或问题点目标值对 策 措 施部 门领 导执 行 者完 成期 限检查方法
负 责协 助
"} {"image_path": "images/12226051728541b940d0722b587bce31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
元素考核样品元素含量(μg/L)測定值的含量范围 (μg/L)单次测定值合格率( % )室内允许差合格率( % )检测限的合格率( % )同收率的合格率( % )
标准值$X_0$测 定 结 果最低值最高值
平均值 $\\bar{X}$$S_ $相对误差%C
Cu1.000.9580.066-4.26.90.821.0 99.010090100
Pb1.001.0230.0842.38.20.821.1 10010080100
Zn1.001.0110.0651.16.40.891.0610010090100
Cd0.250.2240.021-10.49.30.200.2610010090100
Ni1.000.9830.099-1.710.10.781.0810010070100
Cr1.000.9620.082-3.88.50.811.0 10010080100
Hg0.050.04760.0056-4.811.70.0360.05210010087100
A 1.000.9560.046-4.44.80.871.0297.6100100100
Se0.250.2110.020-14.49.30.190.2 10010083100
Co1.000.9860.033-1.48.30.921.0310010088100
2.502.4050.222-3.89.22.012.6010010067100
Fe1.00 .0380.0563.85.40.941.091001009094.4
Mn1.000.9890.067-1.16.80.831.0710010089100
Mu0.4560.4470.053-2.011.90.390.51100100100100
F438459344.87.10.410.51100100100100
"} {"image_path": "images/6deadbd95be94d39bf123ee0c5bb4fca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
r.p.r.I22$\\cdot $0173$\\cdot $8620$\\cdot $8p.r.
1017$\\cdot $6700$\\cdot $8139$\\cdot $2
I6$\\cdot $37·9I15$\\cdot $766$\\cdot $9974$\\cdot $73317$\\cdot $5611110$\\cdot $4093139$\\cdot $2
I6$\\cdot $2877$\\cdot $927I15$\\cdot $71367$\\cdot $0853774$\\cdot $4773317$\\cdot $5733110$\\cdot $4182139$\\cdot $2
I6$\\cdot $28267$\\cdot $9202
"} {"image_path": "images/78004d7c721c2d8d75eae0a11d18da37.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
润滑部位国 外 用 油 规 格 等 级对用国产用油牌号
发动机柴油机CA, DG, MIL-L-2104 A柴油机油
CB, DM, MIL-L-2104 A补充 I $^{.}$ 低增压柴油机油
CC, DM, MIL-L-2104 BC 级柴油机油
CD,DS,MIL-L-2104 CD 级柴油机油
汽油机SD级轿车机油
SE级轿车机油
齿轮、传动部分GL-3双曲线齿轮油
GL-4 MIL-L-2105 馏分型双曲线齿轮油
GL-5 MIL-L-2105 B 馏分型双曲线齿轮油
液压系统ATF-AA、ATF-A、ATF-55 8号液力传动油
底盘、轮毂No.1 (1号)1 号锂基脂
NLNI No.2 (2号)2 号锂基脂
No.3 (3号)3 号锂基脂
制动系统SAE 70R2、70R3 719或746汽车制动液
SAE 1703a、1703C
"} {"image_path": "images/4c543ab400d9f46337f424d2c05a890b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
取代基(L X X X $I_{\\#}$ R=$ 环辛基)使用浓度(有效成分)%
$X_1$$X_2$$X_3$$X_4$0.20.10.0250.0060.0015
HHHH01335
$CH_3$HHH$0^①$0256
$CH_3$H$CH_3$H22334
$CH_3$$CH_3$HH01247
$CH_3$$CH_3$$CH_3$H03379
$CH_3$$CH_3$$CH_3$$CH_3$12359
$CH_3$H$C_2H_5$H$0^②$$0^①$039
$C_6H_5$HHH$0^①$2457
$C_6H_5$H$C_6H_5$H35999
"} {"image_path": "images/fd4ce467ec35c0ce3356871666be38e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
行 驶 里 程( 公里 )燃 油 混 合 比 速度限制(公 里/小 时)连 续 工 作 时 间( 小时 )混 合 方 式
0~10020 : 1<30- 混 合
$>100 \\sim 300$<35-# #
>30025 : 1<50-20 : 1
"} {"image_path": "images/de88d598700cf105a3951bf005d4298a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1953/541961/62 1962 / 631963/641964 / 651965/661966 / 671967 / 681972*1975*
Wheat2664257339112998373341053420383642414875
Barley252149745773659974048062858692421000811331
Oats2821182217471438132512131102136116001700
Potatoes8260625866586576695274586476709167976866
Raw sugar783 800723 778977891 8929209831111
"} {"image_path": "images/86e133c1975df3b439a6cd151cf85c89.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Expt. No.Measurement regionDisplacementsof periphery, $\\mu$Depth fromthe earth'ssurfaceStresses,$\\mathrm{kg} / \\mathrm{cm}^{2}$$\\lambda=\\left|\\frac{p}{q}\\right|$Angle be-tween direc-tion of max.stress andvertical
$U_{1}$$U_{2}$$U_{3}$qp*
12Pill r between crossholes-1503029412023524060601924-6-20,320,081753
3In zone of influence ofworking face961021026010101.8
43005105406024160,672
118527010022449240,4825
12Near junctions ofworkings1575552241360,4835
134080852241590,5825
148515513024018130,7382
5Outside zone of influ-ence of face andjunctions962752406022120,5575
61201601807025190,7620
71082222047520130,6564
899234818824031180,587
910042026424036190,530
1018531527024046350,768
1512066561024059220,3825
"} {"image_path": "images/5d1bf2ebdb7806afddf8a47171b3a23b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
会 计 年 度
1973(%)1974(%)1975(%)1976(%)1977(%)
h. 流动资金章(流动资产/流动负债×100)1)113.777.3124.876.678.9
2)26.347.565.768.086.2
3)134.5137.1132.8116.8106.6
i. 固定资产占长期资本的比例[固定资产/(净值+固定资产×100)〕1)98.4103.998.9109.4105.6
2)144.2127.7116.6115.5104.4
3)92.994.491.695.097.8
j.固定资产占净值的比例[固定资产/(净值+固定资产×100)]1)1,006.61,134.3991.8830.4455.1
1)242.4176.2143.4136.9123.9
3)267.0267.8209.9212.1199.4
k. 债款对产权的比例(长期债款/股东产权)1)8.769.468.536.663.12
2)0.900.520.240.130.09
3)2.061.751.471.471.23
"} {"image_path": "images/34cd4605e19a32c89aa9b53f43c752fb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
孔道长度 $l_{0}$ (厘米)0.0150.0300.0750.1500.3000.600
$\\left(l_{0} / B_{0}\\right)$ 比125102040
通过时间 $t^{*}$ (毫秒)2142104208416832
提供的总能量(耳格/秒)150193321.55369651823
各别能量贡献(耳格/秒):
入口区损耗的能量(Couette 效应)———— 0.00003 ————
稳态泊肃流动中损耗的能量4386214.54298581716
动 能 变 化(Hagenbach 效应)———— 0.0003 ————
弹性形变能
弹性能的转换(耳格/秒):
损 耗 (热)21.533.054.865.675.876.6
挤出物胀大85:574.052.241.431.230.4
———— 107 ————
"} {"image_path": "images/55a73addc1f7d38488358036ae494368.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Meter Hg.NOZZLE PRESSURE.DISCHARGE.
h$\\sqrt{h}$#/sq.in.$ \\mathrm{Ft} \\cdot \\mathrm{H}_{2} \\mathrm{O} $$\\sqrt{h'}$Cu. ft/Sec.
2.88 1.698158.0365.019.10.1175
2.671.633147.5341.18.45.1132
2.491.579138.318.17.85.1094
2.291.514127.293.17.12.1052
2.131.461115.265.16.28.1013
1.871.368103.237.15.42.0950
1.671.29291.210.14.51.0898
1.471.21278.5181. 13.46.0843
1.30 1.14169.5160.312.66.0793
1.121.05858.5135.11.61.0737
.91.95348.110.410.52.0665
.71.84338.87.89.36.0589
.5070726.60.07.75.0497
.30.54816.538.06.17.0387
"} {"image_path": "images/9602c455e01c8f613086384f93beb959.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
无 机 氮 化 合 物相 应 的 有 机 氮 化 合 物
名 称结 构 式 名 称 结 构 式
$\\mathrm{NH}_3$$\\mathrm{R}-\\mathrm{NH}_2, \\mathrm{Ar}-\\mathrm{NH}_2$
$\\mathrm{R}_2 \\mathrm{NH},(\\mathrm{Ar})_2 \\mathrm{NH}$
$\\mathrm{R}_3 \\mathrm{~N},(\\mathrm{Ar})_3 \\mathrm{~N}$
氢氧化铵$\\mathrm{NH}_4 \\mathrm{OH}$ 季铵碱$\\mathrm{R}_4 \\mathrm{~N}^{+} \\mathrm{OH}^{-}$
铵 盐$\\mathrm{NH}_4 \\mathrm{Cl}$季铵盐$\\mathrm{R}_4 \\mathrm{~N}^{+} \\mathrm{CI}^{-}$
联胺(肼)$\\mathrm{H}_2 \\mathrm{~N}-\\mathrm{NH}_2$$\\mathrm{R}-\\mathrm{NH}-\\mathrm{NH}_2$$\\mathrm{Ar}-\\mathrm{NHNH}_2$
硝酸$\\mathrm{HO}-\\mathrm{NO}_2$硝基化合物$\\mathrm{R}-\\mathrm{NO}_2, \\mathrm{Ar}-\\mathrm{NO}_2$
亚硝酸HO—NO亚硝基化合物$\\mathrm{R}-\\mathrm{NO}, \\mathrm{Ar}-\\mathrm{NO}$
"} {"image_path": "images/8d7f9f14104c7bcac3898b6e17ae52be.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathrm{Cr}^{3+}$10.4+ 0.40+2.8
26+ 1.90
52+ 7.6+1.4
260+ 20.1+3.6
$Al^{3+}$27+ 3.7+0.7+4.2
54+ 5.7+0.7
135+ 15.9+1.4
270+25.4+0.7
$Cu^{2+}$2.5+ 1.1-0.7
5.0+ 6.0+0.7
12.2+20.5+2.1
24.4+29.7+5.0
$Fe^{3+}$1.8+1.4
2.8+2.9
$Mn^{2+}$220+ 2.2+1.4
275+ 5.7+2.1
550+12.1+3.6
$V^{5+}$2- 0.4+0.7+0.7
5+ 3.0+2.9+4.2
10+10.6+6.4
$Cl^{-}$1000- 0.4+0.7
2000- 0.4+0.7
$SO_4~^{2-}$1000- 1.9+0.7
2000+ 0.4+2.9
$\\mathrm{CH}_{3} \\mathrm{COO}^{-}$1200- 4.5+2.1
2400-11.2+0.7
酒石酸イオン1000+ 0.7+2.9
"} {"image_path": "images/de79d9562d4d5e55f966ffd20dabff15.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分类训练名称目 的内 容形 式对 象时间讲师
经营层公司或工厂首脑的学习掌握社会上经营变化,掌握住本企业长期经营目标和方针,改进企业管理,使企业合理化企业所处环境的情况学习,经营方针,法律问题等,经营目标出席厂外首脑会议(生产性本部每年夏季都举行学习会)出国学习社长副社长专务常务一般董事半年一次,每次3-4天厂外请讲师或自学
管理层中层领导干部的教育学习经营管 理 知识,学技术开发其能力工厂经营的判断能力世界经济知识,日本经济,本企业经济状况,干部的职权、原则,人事关系厂外讲座、去生产性本部学习,讨论会,关连会社出访,出国学习部长所长半年两次每 次3-4天厂外请讲师、白学
经营管理技术学习领导方法,改进工作方法,职工培训工作同上(只是不出国学习)科长同上同上
监督层基层干部的学习提高领导能力组织知识,人事关系,改进工作,组织会议,领导工作的方法厂外学习,讲座,小组讨论会,参观有关工厂系长班 组 长半年两次每 次3-4天厂内上级领导厂外请讲师
中坚职工层老职工教 育(A组)理解本职工作的重要,鼓励发奋学习,提高自我开发能力,创造性,更好工作代理上级工作,人事关系,组织能力,开发创造,革新的能力,与厂级座谈,搞好关系,互相了解讲课为主和举行开发头脑的会系长和班组长的培养对象半年二次每次三天厂内部级干部或生产性本部讲师
老职工教 育(B组)厂方深入介绍公司状况,办厂方向、方针交底说明工厂的进程讲课形式或组织讨论入厂 3 年后的男职工半年二次每次三天同上,或高级职工
"} {"image_path": "images/423d13837077ff000648dbb48cac54c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
仪 器实 验 员
1234
1C 14.2 D 12.7A 9.9B 11.3
2B 9.9C 16.9D 15.6A 11.3
3A 9.1B 14.3C 15.4D 12.7
4D 14.4A 14.1B 14.2C 15.6
"} {"image_path": "images/4d0ab794ae80b0e16332392561da45bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
蟾魄(月亮)老婆哼唷嗨哟
失魂落魄po婆婆
丢魂落魄哎哟yo
惊心动魄活泼啊哟
惊魂动魄
"} {"image_path": "images/1a1182996e0d0df63de29055768a8e12.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
安徽湖北陝西甘肅綏遠察哈爾
--11---62
--50---132
--9---21
--11---28
--99--28
--3---46
--7---54
--25---363
--5---5
------33
--27---51
--36---155
--2---2
--7---45
--19-84-256
------5
--4---4
------24
------6
-------
-------
--4---32
--5---5
--15---108
------2
----38689
"} {"image_path": "images/a12dda32c32ed94506323f8beeeba567.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目 X6D-280X6D-310X6D-320X6D-330
密度 $\\left(\\mathrm{kg} / \\mathrm{m}^{3}\\right)$840-870840-870840~880840-890
酸值 (mgKOH/g)≤0.02≤0.02≤0.02≤0.02
闪点 (℃)≥190≥195≥200≥205
凝固点 (℃)≤-18≤-18≤-20≤-20
残碳 (%)≤0.01≤0.01≤0.01≤0.01
最高使用温度 (℃)280310320330
比 热 容(kJ/(kg·℃))100℃2.092.092.052.05
330℃2.973.303.303.47
粘度$$\\left(mm^{2}/s\\right)$$100℃3.63.63.24.8
330℃0.140.690.21
0.22
"} {"image_path": "images/ad6f6d8b784a83bd4f2f8ac08c928c7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目统计结果年级n统计项目知 情 行F
小二40$\\overline{\\text{X}}$$4\\cdot5388$ $4\\cdot8000$ $4\\cdot8300$$13\\cdot333^{**}$
S$0\\cdot3336$ $0\\cdot2295$ $0\\cdot2436$
小四40$\\overline{\\text{X}}$$4\\cdot4225$ $4\\cdot6550$ $4\\cdot6488$$4\\cdot0919^{**}$
S$0\\cdot3945$ $0\\cdot3694$ $0\\cdot4647$
小六40 $\\overline{\\text{X}}$$4\\cdot5285$ $4\\cdot5188$ $4\\cdot2513$$5\\cdot3901^{**}$
S $0\\cdot3682$ $0\\cdot3830$ $0\\cdot5049$
初二40$\\overline{\\text{X}}$$4\\cdot5250$ $4\\cdot5500$ $4\\cdot5050$$0\\cdot1612$
S$0\\cdot2911$ $0\\cdot3528$ $0\\cdot3990$
高一40$\\overline{\\text{X}}$$3\\cdot6938$ $3\\cdot8325$ $3\\cdot9038$$1\\cdot5332$
S$0\\cdot5292$ $004786$ $0\\cdot6009$
"} {"image_path": "images/5865c689745235d985572284482adf68.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
性 别44172.9
15726.0
年 齡1)20歲(含)及以下101.7
2)21~25歲345.6
3)26~30 歳548.9
4)31~35歲335.5
5)36~40歲355.8
6)41~45歲366.0
7)46~50歲13622.5
8)51歲以上26243.3
學 歷1)初中畢業或以下7812.9
2)高中(職)畢或專科肄業15425.5
3)專科畢業或大學肄業143..23.6
4)大學畢業19131.6
5)碩士(含)以上315.1
"} {"image_path": "images/5dac006e41a730317c7bbeb14b22b289.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Condi-tion ofthe alloyEq. (1)Eq.(2)
In $\\xi$nm$u_{0}$,J/molev.J/(mole·MPa)$S_{\\mathrm{f}}^{2}\\:(\\mathrm{lg}\\tau_{\\mathrm{f}})^{*}$1n $\\eta$kS$H_{0}$,J/mole$\\varkappa$J/(mole·MPa)$S_{\\mathrm{f}}^{2}\\left(\\lg \\varepsilon_{\\mathrm{f}}\\right)^{*}$
ZhS6UZhS6UN-44,90-37,253422550587,7526031,398,9266,890,02390,0284-5,80-6,92001127055,856249,6-38,65-61,830,06790,0329
"} {"image_path": "images/2844612b7ef349030abfd2e92d2efa46.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
单位工程分部工程分项工程单元工程
代码$\\mathrm{X}_{1} \\mathrm{X}_{2}$名称代码$\\mathrm{X}_{3} \\mathrm{X}_{4}$名称代码$X_{5} X_{6}$名称 代码$X_7X_8X_9$划分规则
011 号引水隧洞010+128~1+00001洞室开挖001,002,... 洞室开挖 15m (分上下层)为一个单元,如遇地质发生变化可在分界处截止该单元,开始新单元
02喷锚支护001,002,··· 与开挖单元相对应,支护类型变化时截止该单元,开始新单元
03混凝土衬砌001,002,··· 衬砌根据钢模台车的长度进行划分(7.5~15m),衬砌结构变化时截止该单元,开始新单元;根据混凝土浇筑情况,可分边顶拱、底板进行分别划分
04回填与固结灌浆001,002,··· 回填灌浆 3 个浇筑块为一个单元、固结灌浆 1 个浇筑块为一个单元
05工程地质问题处理001,002,···每处理 1 处为一个单元
021+000~2+00001洞室开挖001,002,···每处理 1 处为一个单元
02喷锚支护001,002,···
03混凝土衬砌001,002,···
04回填与固结灌浆001,002,···
05工程地质问题处理001,002,···
032+000~3+00001洞室开挖001,002,···每处理 1 处为一个单元
02喷锚支护001,002,···
03混凝土衬砌001,002,···
04回填与固结灌浆001,002,···
05工程地质问题处理001,002,···
"} {"image_path": "images/0a36a85369df22ab81d3beecd95e9f2f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
氨 基 酸胰 朊 酶 酶 解 肽
T 1T 2T 3T 4$\\mathrm{T\\ 4\\ _a}$T 5T 8T 6T 5 , 6T 7T 6 , 7T 7 , 8 T 9T 10T 11$\\mathrm{T\\ 11\\ _a}$T 12$\\mathrm{T\\ 12\\ _a}$
天冬氨酸2.6(2)1.1(1)0.3(-)0.9(1)2.0(2)1.3(1)1.1(1)1.0(1)1.0(1)1.0(1)
苏 氨 酸0.1(-)1.1(1)0.1(-)
丝 氨 酸0.1(-)1.0(1)1.1(1)1.0(1)1.2(1)1.0(1)1.1(1)1.1(1)0.8(-)
谷 氨 酸1.9(2)0.8(1)0.3(-)1.0(1)1.1(1)1.0(1)1.1(1)0.7(-)0.8(1)0.8(1)
脯 氨 酸0.7(1)0.9(1)
甘 氨 酸1.1(1)2.1(2)0.5(-)0.1(-)0.3(-)1.0(1)1.0(1)1.1(1)1.1(1)0.7(-)0.1(-)0.4(-)0.4(-)
丙 氨 酸1.3(1)0.2(-)0.3(-)
亮 氨 酸1.6(2)1.1(1)0.3(-)
酪 氨 酸0.9(1)
赖 氨 酸0.8(1)0.5(-)0.5(-)1.0(1)1.2(1)
氨基乙基半胱氨酸1.1(1)1.1(2)0.8(1)1.0(1)0.9(1)0.9(1)0.8(1)0.9(1)0.6(1)0.9(1)
组 氨 酸1.2(1)
精 氨 酸0.9(1)
色 氨 酸+(1)+(1)+(1)+(2)+(1)
在序列中的位置1-34-56-1011-1715-1718-2419-2118-2122-2319-2322-2425-3132-3738-4138-4042-4341-43
"} {"image_path": "images/ab3dda609a2192d540ffae279c8f5d80.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号位置公法线平均长度 / mm位置内孔直径 / mm
热处理前热处理后畸变量热处理前热处理后畸变量
139.4639.44—0.0238.7638.73—0.03
239.4539.44—0.0138.7438.72—0.02
3大齿39.4639.44—0.02A 处38.7438.73—0.01
439.4539.450.0038.7538.73—0.02
539.4539.43—0.0238.7338.71—0.02
121.7621.75—0.0138.7638.75—0.01
221.7621.770.0138.7438.73—0.01
3小齿21.7421.73—0.01B 处38.7438.73—0.01
421.7821.73—0.0538.7538.750.00
521.7421.72—0.0238.7238.71—0.01
"} {"image_path": "images/f5c89387a7153b86905904a6a3d5db61.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓名性别民族× 族出生年月××××年××月
人员类型(教工、本科生、硕士生、博士生)学历本科生应填高中, 硕士生应填大学, 博士生应填研究生职称年级20××级
递交入党申请时间与入党申请书落款时间一致确定为入党积极分子时间与入党积极分子培养考察表 ( 旧表 ) 第 4 页党支部意见落款时间一致确定为发展对象时间与入党积极分子培养考察表 ( 旧表 ) 第 12 页党委审批意见落款时间一致
培训结业情况拟发展时间
党员、群众意见征集情况会议时间:参加人员:意见建议:
党支部意见 该同志自被列入发展对象后, 支部委员会( 或 党 支 部 )通过对其进行严格审查, 向党员和群众充分征求意见, 通过与本人谈话、函调等方式, 集体讨论认为其政审合格; 该同志参加青年共产主义者培训班 ( 发展对象培训班 ) , 成绩合格, 报上级党组织预审。签名:年 月 日
党总支意见盖章: 签名:年月日
基层党委意见由学院党委填写并加盖学院党委公章。同意盖章: 签名:年 月 日
公示情况公示无异议。盖章:年 月 日
"} {"image_path": "images/e053f1ccda24465e06fbdae0b973094a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n
Agent
Link identifierStartFinishLength (m)
a1727,922
b1823,144
c11093,452
d294,063
e3113,815
f6548,103
g6738,879
h6985,942
i611119,511
j7458,234
k7638,879
l7832,317
m8732,317
n81071,020
o9685,942
P91142,885
q10871,020
r101193,768
s101267,587
t101485,131
u116119,511
v11942,885
w111093,768
x111376,875
"} {"image_path": "images/04ec4580343aff5fcf8d8f78a99dd2d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国 别年 份
1 9 7 01 9 7 31 9 7 51 9 7 61 9 7 71 9 7 81 9 7 9
美 国*8721550113013901400
英 国79109.2127.4(万吨)154.6(万吨)139.9(万吨)
苏 联17603561
日 本117.5130.9137.2143.0130.3
法 国**21.626.424.0
"} {"image_path": "images/7274947038c33c6ba947de8712d2a774.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Группы рабочихСтолицы#######-########
#####################
121 3456
A. Семейные
1. Число обследованных семей8262144 167311
2. В них наемных рабочих10576181 205387
В том числе:
МУЖЧИИ615511614)265
женщин44216557122
3. Домашних хозяек454489122211
4. Помогающих членов семьи108182240
В том числе:
МУЖЧИИ4371522
женщин6511718
5. детей и учащихся159105264298562
В том числе:
до 1 года115162844
от 1 года до 7 включительно6737104132236
от 8 лет до 15 включительно8157138134272
от 16 лет до 20 включительно66410
Из них учащихся:
a) МУЖЧИИ291847 54101
б) женщин312758 43101
Итого учащихся6045105 97202
6. Стариков и нетрудоспособных639 1827
В том числе мужчин22
И того по 1-63252365616661227
Кроме того, прислуги2268
Е. Одинокие наемные рабочие11819726
В том числе:
МУЖЧИИ11314115
женщин55611
Итого по А и Б
1. Работников (без прислуги)161146307 357664
2. Детей, учащихся и стариков165108273316589
Всего326254580673125
"} {"image_path": "images/09d31f791b8fd5f56a42be98d2ea9416.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
热 解 色 谱 综 合 性 参 数$R_{~0}$%孢粉颜色
烃指数mg烃/g有机碳氢指数mg烃/g有机碳 氧指数mg$CO_{2}/g$有机碳$T_{max}$℃
1~2.21.5~16.7(一般5~8)611~1487417~432
1.314.5622424浅棕黄
2.3 ~15.514~58.3214~650430~441棕黄
9.6~18.429~37.718~3216~25.9162~277121~219439~470480~4861.01.86棕 丨黄 棕丨 黑棕
"} {"image_path": "images/efd8e6cf032516bd4d3eda9adb5a51a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
被调查人住所被调查人姓 名被调查人先人姓名被调查人先人职别原 籍旗 属备 考
沟帮子职业高中巴恩光夸哈达武显将军长白山正 黄存有家谱
正安乡马市村巴文生####与巴恩光一家
#巴文会#####
廖屯乡马太郎宝臣额亦都大 臣#正 兰以下郎家都是一家
广宁乡赵营子郎凤阁### #
正安乡山后屯郎永顺### 正 黄
#郎国宝####
正安一村常雨顺关常宝领 催#正白一旗与关屯关姓一家
#常凤柱#####
汪家坟乡汪家坟常玉富#正 黄
曹屯乡大祖村富香凌富神宝佐 领#正白一旗
廖屯乡小亮甲富维扬富神太协 领##与富乡伶一家
广宁乡窦屯窦有纯恩克森#正 黄
"} {"image_path": "images/5869fce31a3310e8eb2806a93d26e5af.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
砂種配合驗名種海砂新砂新砂新阅砂日##歷青砂焦炭木#致
濕模砂70%30%
乾模砂25%75%10%必須以礎砂機爬過
濕模芯砂60%39.5%0.5%
乾模芯砂60%20%20%加少許銍米
"} {"image_path": "images/609830012fa526b6b97daae9d5071e1a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$乃_{(接)}$0513 爾○不大宅天命$42_{0015}$ 王○洮類水
$35_{0041}$ 厥子○不知稼穡之艱難0520 爾○屑播天命0026 ○同召太保興芮伯彤伯筆公衡侯毛公
0049 ○逸乃譏0526 爾○自作不典
0051 乃逸○譲0556 ○有不用我降爾命0567 ○受同靖
0126 ○或亮陰三年不言0565 我○其大罰殛之$43_{0207}$ ○命建侯樹屏
0139 言○雍0580 ○ 惟爾自速辜0243 ○心罔不在王室
0385 ○非民攸訓0648 爾邑克明爾惟克勤O事$44_{0314}$ 惟德惟義時○大訓
0447 此厥不聽人○訓之0663 亦則以穆穆在○位$45_{0011}$ 惟○祖乃父世萬忠良
0450 ○變亂先王之正刑0668 克陽于○邑諜介0013 惟乃祖○父世萬忠貞
0537 人○或講張爲幻日0673 爾○自時洛邑尙永力敗爾田0078 繿○藝服
$36_{0111}$ ○其噬命0140 思其類以闔其易民○寧
0424 ○惟時昭文王0738 爾○惟逸惟頡0170 爾惟敬明訓
0551 告君○猷裕$39_{0054}$ ○有室大競0195 ○惟由先正書典時式
0565 前人數○心0073 ○敢告敢厥后日0211 率○組考之攸行
0567 前人敖乃心○悉命汝0088 宅○事0218 昭○辟之有义
0731 惟○知民德0091 宅○牧$46_{0137}$ 懋○后德
$37_{0018}$ ○致辟管叔于商0094 宅○準0146 愼爾○僚
0059 ○命諸王邦之蔡0107 謋面用丕訓德則○宅人0236 永弼○后于彝憲
0092 往卽○封0111 兹○三宅無義民$47_{0148}$ ○命重黎絕地天通
0108 爾○邁述自身0120 梨德傕○弗作0194 ○命三后恤功于民
0120 克勤無意以垂憲○後0143 ○用三有宅克即宅0265 故○明于刑之巾
0123 率○祖文王之彝訓0204 ○惟庶習逸德之人同于厥政0387 ○絕厥世
0193 懋○攸績$48_{0129}$ 汝克昭○顯祖
0197 睦○四鄰0220 ○伻你我有夏0140 用會绍○辟
0223 詳○視聽0327 ○克立兹常事$49_{0021}$ 善板○甲胃
$38_{0074}$ ○大淫昏0428 丕○俾亂0025 歡○千
0037 ○ 爾攸闡0528 兹○俾父0032 備○弓矢
0103 ○大降罰$40_{0261}$ 又六年王○時巡0036 鍛○戈矛
0152 ○大降顯休命于成湯0292 钊○攸司0040 礪○鋒刃
0170 ○惟以爾多方之義民不克永于多享0296 慎○出令0055 杜○擭
0323 議事以制政○不迷0059 敎○筭
0199 ○胥惟虐于民0372 惟克果斷○罔後艱091O 越逐不復
0213 ○惟成湯克以多方簡代夏作民主0422 推賢讓能庶官○和0127 峙○糗糧
0463 以佑○辟永康兆民0146 峙○棲輦
0231慎厥地○勘$41_{0045}$ 往慣○司0173 峙○芻茭
0309 ○惟爾辟以爾多方大淫圖天之命0161 爾○順之于外$51_{0198}$ ○遇汝楊汝方
0252 辟以止辟○辟$九_{(37字)}$
0325 ○惟有夏闖厥政不集于享0282 必有忍其○有济$01_{0036}$ 克明俊德以親○族
0344 ○惟爾商後王逸既逸0288 有容德○大0038 ○族旣睦
0503 閛○迪嘅不静0331 爾克敬典在德時○罔不變0339 ○裁綴用弗成
"} {"image_path": "images/2c206ef189a70db4a95c95f0a2d12c3e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
性 能指 标化 学 组 成 (%)
纤维长度(mm)50$AI_2O_3$45 ~ 53
纤维直径( $\\mu \\mathrm{m}$ )2 ~ 3$SiO_2$44 ~ 52
容 重 $\\left(\\mathrm{kg} / \\mathrm{m}^{3}\\right)$$150 \\sim 200$$Fe_2O_3$$0.8 \\sim 1.2$
渣球率( $>0.25 \\mathrm{~mm}) $%# 5CaO$0.1 \\sim 0.5$
加热线收缩率 (%)在 1150℃ 保持 6小时要# 4MgO$0.1 \\sim 0.3$
$\\mathrm{A} 1_{2} \\mathrm{O}_{3}$ 含量(%)#45$TiO_2$$0.3 \\sim 1.2$
$\\mathrm{Fe}_{2} \\mathrm{O}_{3}$ 含量 $(\\%)$#1.2$K_2O$$0.1 \\sim 0.4$
$\\mathrm{AI}_{2} \\mathrm{O}_{3}+\\mathrm{SiO}_{2}$ 含量(%)#98$Na_2O$$0.1 \\sim 0.3$
$\\mathrm{K}_{2} \\mathrm{O}+\\mathrm{Na}_{2} \\mathrm{O}$ 含量 $(\\%)$#0.5
"} {"image_path": "images/400235fd05605935f3ac58a49a5b6633.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
常规保健(对于每一位妇女和婴儿) 额外保健(对有中重度疾病及合并症的妇女和婴儿)产科和新生儿科专科保健(对有严重疾病和并发症的妇女和婴儿)
产妇产后保健要点 (至产后6周)★评估产妇的安危★处理一些问题 (如轻中度贫血,轻度产后抑郁)★处理所有的并发症
★预防和发现并发症(如感染,出血,贫血)★严重的贫血
★严重的产后出血
★预防和控制贫血(补充叶酸和铁剂)★一些问题转诊前的处理( 如重度产后出血,产后败血症)★严重的产后感染
★严重的产后抑郁
★对孕妇的自我保健进行宣教和咨询,包括营养,安全的性生活,母乳喂养,计划生育,健康的生活方式★女性节育术
★介绍危急的征兆和紧急情况的准备并进行随访
★提供避孕方法
根据情况选择的内容★促进使用杀虫剂处理过的蚊帐★治疗无并发症的疟疾★治疗有并发症疟疾
新生儿保健(分娩和产后即时)★促进、保护和支持母乳喂养★中度早产,低出生体重,双胎的保健:支持母乳喂养,保暖,定期评估婴儿的情况及时发现并发症,如喂养困难,黄疸,其他围生期问题★处理重度的新生儿问题,对病重的新生儿提供整体护理并 处 理 特 殊 的问题:一早产—呼吸困难一败血症一严重的产伤和窒息—严重的黄疸一袋鼠妈妈护理方法
★监测和评估新生儿安危,发现并发症(呼吸,感染,早产,低出生体重,损伤,畸形)
★预防和控制感染,母婴同室
★眼部护理
★家庭保健,母乳喂养,卫生的宣教和咨询
★介绍危急的征兆和紧急情况的准备并进行随访★袋鼠妈妈护理方法并随访
★根据国家指南进行免疫接种(包括卡介苗,乙肝疫苗和口服脊髓灰质炎疫苗)★处理轻中度局部的一感染 ( 脐 带,皮肤,眼部,鹅口疮)—产伤
★对有严重问题的婴儿转诊前的处理:一极度早产或/和极低出生体重一严重并发症一畸形
★如围生儿死亡对母亲提供支持
★处理和矫正畸形
"} {"image_path": "images/bbe80025a0be1dd3f2ad97241ea418b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\Delta H_{\\mathrm{H}_{2}},cal/g-atom$$\\Delta S_{\\mathrm{H}_{2}},cal/deg gatom$$T,\\text{॰C}$
Pd352221.2200-800$Sieverts^{6}$
391223.1200-600
Pd332822.4300-800$Siever ts and Zapf^{7}$
379023.1300-600
$\\mathrm{Pd}_{0.9} \\mathrm{Ag}_{0.1}$500023.5317-822 Sieverts ${ }^{9}$
$\\mathrm{Pd}_{0.6} \\mathrm{Ag}_{0.4}$770025.1221-621
$\\mathrm{Pd}_{0.5} \\mathrm{Ag}_{0.5}$640025.8221-822
"} {"image_path": "images/cddf4a6e9d99015abe9b9a48241edb0d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类型鉴别点瓣 上 型瓣 膜 型瓣 下 型
先 天 性风 湿 性
病 因先天性先天性风湿性先天性
病 理 瓣上纤维环 多为二叶瓣 风湿性瓣膜病 特发性肥厚性主动脉瓣下狭窄 (IHSS) , 亦可有局限性膜性或肌性的环状狭窄
发病年龄幼年开始 多在中年后发病 青少年发病为多 幼年开始或青年发病
收缩期杂音部位 右二肋间, 胸骨上窝, 右颈下 右二肋间最响 右二肋间最响左二、三、四肋间
传导 向颈部、胸骨上窝 右颈部、胸骨上窝,同时向胸骨左缘传导 向颈部为主, 并向心尖传导 向心尖区传导, 较少向颈部传导
性质 多为喷射性 收缩中期喷射性杂音 收缩中期喷射性杂音 收缩期喷射性杂音和收缩期返流性杂音相混合的杂音
强度 中度响亮到响亮 , 一般为#级左右, 亦可更响亮 响亮 ,#~IV级以上 响亮到极响亮, 可在IV级以上 中度或轻度响亮,I~#级为多
呼吸影响影响较小 呼气时较响,吸气时较弱 呼气时较响, 吸气时较弱 影响较明显, 呼气末期,左心容量增加,杂音减弱
"} {"image_path": "images/ef5c10e4e55bbda890852db9456ca1f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
項目名 稱品種及尺寸寛 × 厚 × 長單位數 量單 價(元)總 價(元)附 註
3.清水模型板$m^3$1
木料損耗3
防水三夾板損耗$m^2$030
接縫膠帶損耗1
洋釘鐵線kg030
模板組立工資$m^2$1
拆模、整模工資$m^2$1
纖件工具損耗1
小 計
7.4000psi R.C 捣灌工资(预拌)$m^3$1
防 水 劑加命180
POMP及澆築工資$m^3$1
工具損耗1
小 計
8.3000psi R.C 捣灌工资(預拌)$m^3$1
捣灌作業工資030
模板P.C版面清洗费1
抽水機、震動機租金及损耗1
工具損耗1
小 計
9.2000psi P.C. 捣灌工资(预拌)$m^3$1
捣灌作業工資030
機具租金及損耗1
"} {"image_path": "images/12226051728541b940d0722b587bce31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
元素考核样品元素含量(μg/L)測定值的含量范围 (μg/L)单次测定值合格率( % )室内允许差合格率( % )检测限的合格率( % )同收率的合格率( % )
标准值$X_0$测 定 结 果最低值最高值
平均值 $\\bar{X}$$S_ $相对误差%C
Cu1.000.9580.066-4.26.90.821.0 99.010090100
Pb1.001.0230.0842.38.20.821.1 10010080100
Zn1.001.0110.0651.16.40.891.0610010090100
Cd0.250.2240.021-10.49.30.200.2610010090100
Ni1.000.9830.099-1.710.10.781.0810010070100
Cr1.000.9620.082-3.88.50.811.0 10010080100
Hg0.050.04760.0056-4.811.70.0360.05210010087100
A 1.000.9560.046-4.44.80.871.0297.6100100100
Se0.250.2110.020-14.49.30.190.2 10010083100
Co1.000.9860.033-1.48.30.921.0310010088100
2.502.4050.222-3.89.22.012.6010010067100
Fe1.00 .0380.0563.85.40.941.091001009094.4
Mn1.000.9890.067-1.16.80.831.0710010089100
Mu0.4560.4470.053-2.011.90.390.51100100100100
F438459344.87.10.410.51100100100100
"} {"image_path": "images/4b4176d0e1b58c6ef5298f2d6b6a4c4b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
摘 要直接材料生产工时(小时)直接人工制造费用合 计
531余额27 0007 00016 00019 00062 000
630本月发生23 0005 00020 00029 00072 000
630累计50 00012 00036 00048 000134 000
全部产品累计间接费用分配率AB
630本月完工转出37 000CEG
630在产品13 000DFH
"} {"image_path": "images/776a17f977dc623ad1a910b785ee1801.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
方案成球工艺碳化球单重( 克/ 个 ) 熔 点(℃)半 点 抗压强度( 公斤 / 个)体 密$\\text{(克/厘米}^2\\text{)}$气孔率(%)原始球个数落 下 指 数
落 次 数 剩 余
一次成球三次成球一次成球二次成球12345678
I碳化71.4125060282414630
II碳化6857 2.662.656 29.732#992623141064220
III生球89 63 1341 20 33.5 2.66 2.2916.4 25.3
碳化53.562133756792.662.2916.425.315151264 1 10
"} {"image_path": "images/b0eb1b5246670f97cdf9064cb85f90a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
温 度(℃)蒸 气 压(kPa)温 度(℃)蒸 气 压(kPa)
231.9101.325112.82.666
227.09896.01.333
156.913.389810666.6
130.75.33350.2133.3
"} {"image_path": "images/6ac916a71fc1abebfbce4ac55e8b710e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称产率/$\\%$ 化学成分(质量分数)/$\\%$铁回收率/$\\%$备 注
FeFRESP$ \\mathrm{K}_{2} \\mathrm{O}+\\mathrm{Na}_{2} \\mathrm{O} $
精矿 Ⅰ12.0254.360.0950.2219.1 磨矿程度小于200 目 占 70$\\%$~75$\\%$硫 酸 化 皂 0.2kg/t水玻璃 1.skg/t基 本 浮 选 时 间15min氟及稀土金属氧化物回收率:精矿 F32. 8$\\%$,中矿4. 8$\\%$, 尾矿 62.4$\\%$;精矿 RE18.8$\\%$,中矿 3.0$\\%$,尾矿 78.2$\\%$
精矿 Ⅱ15.3051.030.120.080.020.190.1421.2
精矿 Ⅲ15.8350.510.120.1621.7
精矿 Ⅳ6.4250.510.120.0222.5
合 计59.5751.460.110.1184.8
中矿 Ⅰ2.6735.170.210.36
中矿 Ⅱ1.6227.000.280.063.7
合 计4.2932.080.240.25
尾矿 Ⅰ8.5611.530.190.65
尾矿 Ⅱ8.8712.000.580.94
尾矿 Ⅲ8.9712.010.360.84
尾矿 Ⅳ8.8412.300.360.79
合计35.2411.970.370.8211.5
原 矿100.036.820.210.37
"} {"image_path": "images/1012a3f5fda48cd83f003e6a84475e0d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
JANUARYFEBRUARYMARCHAPRILMAYJUNETOTALS
Demand forecast5006006508009008004,250
Number of working days221921212220125
COSTS
Materials$ 100.00/unit
Inventory holding cost$ 10.00/unit/month
Marginal cost of stock-out$20.00/unit/month
Marginal cost of subcontracting$100.00/unit ($200 subcontracting costless $ 100 material savings)
Hiring and training cost$50,00/worker
Layoff cost$100.00/worker
Labor hours required4/unit
Straight-time cost (first eight hours each day)$12.50/hour
Overtime cost (time and a half)$18.75/hour
INVENTORY
Beginning inventory200 units
Safety stock required0% of month demand
"} {"image_path": "images/7190f588d92767074f9b4508c853c2e3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
王 朝 作 者 摘 要《玉台新咏》《乐府诗集》
傅 玄
陆 机 宋咏罗敷事。《文选》卷二十八
谢 灵 运未 咏 罗 敷 事
# 沈 约
吴 均 未咏罗敷事
张 率
萧 纲(简文帝) 《乐府诗集》以《采桑》为题收录前半部分
萧 子 范
萧 子 显
王 笺
王 台 # 四句一篇之作五首 ◯(仅一首)
"} {"image_path": "images/8f3abb5ec9f3f3299f36d24b015670b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目 标准值极限值
凸轮高度进气$33.830 \\sim 33.870$33.530
排气$32.990 \\sim 33.030$32.690
摇臂孔内径 (进、排气)$12.000 \\sim 12.018$
摇臂轴外径 (进、排气)$11.977 \\sim 11.995$
气门弹簧自由长度35.1
39.8
气门间隙$0.08\\sim 0.13$
气门导管/气门气门杆外径进气$5.475 \\sim 5.490$
排气$5.455\\sim5.470$
气门导管内径进气$5.500 \\sim 5.512$
排气$5.500 \\sim 5.512$
气门杆与气门导管的间隙进气$0.010 \\sim 0.037$0.35
排气$0.030\\sim 0.057$0.35
"} {"image_path": "images/1f4e8695336c4dc9c6827b593abf0f1b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
興近表同舊志三十里至本縣界首又四 自縣治至京師九百有二十里舊志九百里道里遠表十里至彭家道口交壽光界樂安縣志 卷之一舆地志九直十里至成家口又直十五里至早支河莊又直五里至东水磨交壽光縣界凡三十里舊志又一路三道里近表所採訪尚無甚出入莊準之間附以舊志與現所採訪以資互考
十里至本縣界自界首入博興縣境又四十里西直十里至白家塢西交博興縣界西
二十五里至本縣界自界首入臨淄縣境又二 直十里至十里舖又直十五里至黄邱店南交臨淄縣界凡二十有五里
一百里至本縣界自界首入武定府利津縣境直二十五里至草橋又直八十五里至稱頭村交武定府利津縣界既百一十里
二十五里至本縣界自界首入壽光縣境又四東南莊交壽光縣界現採訪又一路三十里至范家莊東交壽光縣界邪二十五里至季家橋又邪五里至壽光縣皮家莊西交壽光縣界凡三十里舊思又一路二十七里至鄧家東南
十七里至本縣界自界首入博興縣境又一百西南淵縣界现採一路由張郭店又一里交臨淄縣界邪十二里至安得莊又五里至率五莊交博興縣界凡十有七里舊志文一路二十五里至張郭店交西南
與近表同舊志又一路一百三十里至海東北百有十里舊志又一路一百三十里至海口邪十五里至北西莊又郡十里至犬營莊迂三十五里至繆家道口又迂二十里至辛橋又迂三十里至海凡東北
與近表同西北城交博興縣界直二十五里至草橋邪十里至雒家坊子交博興縣界凡三十有五里舊志又一路二十里至博興縣界之利西北
"} {"image_path": "images/75d438dcb8b26fe913cfe665e64381f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
第一次斜线加荷第二次斜线加荷瞬时卸荷
( $T_{c}=0.060 ; \\rho_{c}=254 \\mathrm{~m} \\mathrm{~m}$ )( $T_{c}=0.100 ; \\rho_{c}=508 \\mathrm{~m} \\mathrm{~m}$ )( $T_{c}=0.000 ; \\rho_{c}=-254 \\mathrm{~m} \\mathrm{~m}$ )
$t_1$(d)$T_1$$U_1$(%)$\\rho_{c1}(t)$(m m) $t_2$(d)$T_2$$U_2$(%)$\\rho_{c2}(t)$(m m) $t_3$(d)$T_3$$U_3$(%)$\\rho_{、c3}(t)$(m m)$\\rho_{10}$(f)(mm)
100.020410.210.2
300.0601743.243.2
500.1002768.6000068.8
1000.20047119.4500.10021106.7226.1
2000.40068172.71500.30057289.60000462.3
4000.80089226.13500.70084426.72000.40070-177.8475.0
"} {"image_path": "images/9d2a51d4b1a3fd9135da469a819d577f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
主要供应国单 位1954年1955年1956年1957年1958年1959年1960年1961年1962年( 1-6月 )
合 計量: 長 吨 ------1,373 1,186 14
值: 千 叻 元------2873023
中 国量: 長 吨------0.3--
值: 千 叻 元------1--
量 占 %------0.02 % --
英 国量: 長 吨------1,3281,18614
值: 千 叻 元------2793023
"} {"image_path": "images/0092c1aa31f58202fe703afde909e50d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
t(min)$\\mu(\\Omega^{-1}{cm}^{2}$t(min)$\\mu(\\Omega^{-1}{cm}^{2}$
1598.6127.285
25111.595128.3
35115.8115131.4
45118.3135133.7
155121.3155135.2
65123.1185137.9
75125.5215137.9
245140.9
"} {"image_path": "images/7d95145bde950596d1c601a134f4605f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ranked by net saies as of Dec.31.2003 in USS millionsNET
RANKthis year last yearCOMPANY COUNTRYSECTOR 2003U55 miBions% change03/02
11PetrobrasBrazilOil, gas33,138.169.3
24Wal-Mart de México $\\dagger$MexicoRetail10,729.24.1
32Telmex $\\dagger$MexicoTelecom10,399.4-4.9
43Telecom Carso Global $\\dagger$MexicoTelecom10,399.4-4.9
57América Móvil $\\dagger$MexicoTelecom7,648.737.3
6-America TelecomMexicoTelecom7,648.737.3
75cemex $\\dagger$MexicoCement7,166.92.4
86Repsol YPFArgentinaOil, gas7,152.723.7
910Femsa $\\dagger$MexicoBeverages6,754.330.7
1013CVRD $\\dagger$BrazilMining6,729.362.0
118EletrobrasBrazilElectricity6,705.522.5
1220Bunge BrasilBrazilChemical5,910.374.7
1315Ipiranga DistribuidoraBrazilGas5,889.662.9
1411Grupo Carso $\\dagger$MexicoHolding5,045.00.3
1525Ipiranga PetroquimicaBrazilOil & Gas4,955.563.9
1621Tele Norte LesteBrazilTelecom4,846.644.2
1722TelemarBrazilTelecom4,736.745.6
1831Gerdau $\\dagger$BrazilSteel4,626.578.4
1918AntarchileChileHolding4,495.732.6
2019CopecChileOil, gas4,491.032.6
2112AlfaMexicoHolding4,164.112.2
2214Grupo Industrial BimboMexicoFood4,153.00.4
2327Telesp $\\dagger$BrazilTelecom4,085.843.1
2417Enersis $\\dagger$ChileElectricity3,966.815.0
25---U.S.CommercialMexicoRetail3,798.3-7.8
2629Pão de Açúcar $\\dagger$BrazilRetail3,740.339.8
2716Grupo ModeloMexicoBeverages3,600.40.3
2845BraskemBrazilChemical3,508.292.7
2923Organizacion SorianaMexicoRetail3,184.42.2
3049Coca-Cola Femsa $\\dagger$MexicoBeverages3,179.982.7
31---Tenaris $\\dagger$ArgentinaSteel3,179.7-1.2
3224Comercial Mexicana $\\dagger$MexicoRetail3,111.80.1
3336AmBev $\\dagger$BrazilBeverages3,005.645.0
3443Usiminas $\\dagger$BrazilSteel2,997.359.6
3530Grupo Imsa $\\dagger$MexicoSteel2,779.42.3
3626Grupo GiganteMexicoRetail2,769.4-7.5
37---VarigBrazilTransportation2,751.439.2
3839Brasil Telecom $\\dagger$BrazilTelecom2,739.636.9
3941ItausaBrazilHolding2,702.542.2
4028CintraMexicoAviation2,675.8-3.7
4132Grupo Minero de MéxicoMexicoMining2,461.43.1
4238Embratel $\\dagger$BrazilTelecom2,437.921.2
4355CSN $\\dagger$BrazilSteel2,415.065.2
4434Embraer $\\dagger$BrazilAviation2,274.23.7
4551Eletropaulo MetropolitanaBrazilElectricity2,236.736.3
4633VitroMexicoHolding2,220.9-6.3
4750VaporesChileTransportation2,138.428.0
4837Puerto de LiverpoolMexicoRetail2,115.85.2
4935Grupo Televisa $\\dagger$MexicoMedia2,097.10.3
5082Telesp Celular $\\dagger$BrazilTelecom2,092.8118.1
"} {"image_path": "images/385898199e105b3fee15e003a80cc5a7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
消费部门供应部门一部门二部门三部门净 产 品总产品
消费积累
一 部 门102010-1858
二 部 门15510-1646
三 部 门---40-40
净 产 值332120
总 产 值584640
"} {"image_path": "images/d0325872e16aa02e743e03ddeafde4b6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
加氢条件贮存前后油品质量空 速 $2.0时^{-1}$空 速 $4.0时^{-1}$
300℃330℃360℃300℃330℃360℃
实 际 胶 质贮 前13139.44.81415
半 年13.233.243.27.614.417.2
毫克/100毫升一 年11.655.871.05.617.838
沉 渣半 年0.3250.60.4250.40.60.525
毫克/100毫升一 年0.5750.820.60.750.7
酸 度贮 前$ {\\bigcirc}$$ {\\bigcirc}$
毫克KOH/半 年$ {\\bigcirc}$0.330.770.240.290.33
100毫升一 年0.1540.9621.540.3850.3080.616
透 光 率贮 前>100>100>100>100>100>100
$(\\lambda = 475)$一 年959997889698
"} {"image_path": "images/bfacfd1c1752647e3c0908191024857e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
发行日期片名票房收入(百万美元)
美国国内海外
1987三个奶爸一个娃早安,越南!1681246535
1988谁陷害了兔子罗杰?154160
1989亲爱的,我把孩子缩小了(Hon-ey,I Shrunk the Kids)13080
1990漂亮女人(Pretty Woman)迪克·特蕾西17810420050
1991美女与野兽146180
1992阿拉丁姐妹剧(Sister Act)21714025020
1994狮子王圣诞老人(The Santa Claus)31314540060
"} {"image_path": "images/57a226a4793e65c4e69b59e4ce59eef5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
种植作物时间(年)面积(亩)经营性质产量(千克) 单产(千克/亩) 价格(元/千克)销售(千克)自留(千克)
2007
2008
2007
2008
2007
2008
2007
2008
2007
2008
"} {"image_path": "images/98868c7d7feb7b7106d6829bd182f052.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工作地剩余时间够资格分配的作业分配作业工作地闲置时间
11.0a, ca0.9
0.9b, cc0.2
0.2- 0.20.2
21.0bb0.0 0.0
31.0dd0.5
0.5ee0.3
0.3--$\\underline{0.3}$
0.5
"} {"image_path": "images/060f71ec72167b0a9455ff10fa49981f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$_Ist $Q. 2nd Q.$_3st $Q.$_4st $Q.
Sine, . . . . .++--
Cosine, . . . .+--+
FromToFromToFromToFromTo
Sine, . . . . .OIIOO- I- IO
Cosine, . . . .IOO- I- IOOI
"} {"image_path": "images/32c27fc092e7d73065348001e99f5560.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目管 理 内 容负责人检查人 检 查 日 期
3456789101112
钢管 卡子上油分类保管魏 宝 臣刘 建 国$ \\triangle $OOO
OOO
钢 丝 绳分类捆好垛好李 振 青 刘 建 国O$ \\triangle $O
$ \\triangle $O
小 型电动工具分类检修防雨王 连 生 王 久 来OOO
$ \\triangle $O
安 全 网 新旧好坏分类防雨王 连 生王 久 来OOO
$ \\triangle $OO
钢丝绳卡 扣上油分类保管马 自 友王 久 来O
O$ \\triangle $O
码放整齐分类李 贺 会 王 久 来OOOOO
OO$ \\triangle $
吊 索 具检查码放防雨尚 建 雷 王 久 来O
O
备 注 √ 优 O 良 $$ \\triangle $$ 中 × 差 检查时间: 每月二次
"} {"image_path": "images/628a44513bce3a88ae66a62ffcfb1f2c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Latitude 51.5°NDegree Days 2710Radiation September-April 375kWh/$m^2$
Effective U-values $W/m^2K$
Window Glass SolarFactorper centOrdinaryU-valueNNE/NWE/WSE/SWS
Clear Single855.64.74.64.23.53.2
Heat Reflectingin Double Glazing701.60.80.80.4-0.1-0.4
"} {"image_path": "images/57a226a4793e65c4e69b59e4ce59eef5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
种植作物时间(年)面积(亩)经营性质产量(千克) 单产(千克/亩) 价格(元/千克)销售(千克)自留(千克)
2007
2008
2007
2008
2007
2008
2007
2008
2007
2008
"} {"image_path": "images/461ba104d880b17c86b571dc41e05277.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Name
Address
HomeWork
MobileFax
Email
Birthday
Notes
"} {"image_path": "images/270cc0175c29af3f210fc850bedce9aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1234567891011
121314
151617
18192021
222324252627
28293031
32333435
363738
39404142434445
464748
495051
"} {"image_path": "images/2310b466699293a51742fe11edfd34df.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
alnrS
i.8214
ii.70.39.919
iii.16531
"} {"image_path": "images/e458eca842909a74e931fac7e443ec26.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\S $工 厂 名 称 及 性 質 費 用設 計 各 部 分 价
技术設計施工#技 术 經 济部 分工艺部分土建部分及内部衛生技术(采暖通風、給水排水)全厂給水及 排 水
技术設計施工圖技术設計施工圖技术設計施工圖技术設計施工圖
123456789101112
11.0004577607-2915442213
22,000529870
五、非总体工厂,制造汽輪机机構,並由厂外供給部分毛胚和半成品,年产量台:
17501772776-3014164444
21,500296464
"} {"image_path": "images/a61a84afa1e2368130dd1e4e2caff5ce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
X X 年凭 证摘 要借 方贷 方借或贷余 额
××期初余额 63,00063,000
×××购 入 4,00067,000
×××领 用54,000
×××购 入 6,000
×××领 用15,000
×××购 入 7,500
"} {"image_path": "images/0adf2f217ac2060fa8fb296aaa871a4a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
课程姓名大学语文高等数学
张三
李四
王五
何六
"} {"image_path": "images/44f5604c51bd82b4867d92d7c9eb121d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检 查 部 位检 查 项 目周 期维修检查要领 (在下栏记录检查有无异常)
一小时立刻或一天一周一月一年随时
控制装置安全装置火焰检测器确 认 动 作O确定用手动关闭主燃料阀,关闭灭火的安全切断闭
测定周围温度O保持能用手摸机器时的温度 (60°以下)
清扫滤光器玻璃O用柔软的布擦
压力限制器确 认 动 作O压力停止时检查是正常或是不振动
缺水切断器(浮动式、电极式)确 认 动 作OO● 参照栏外
检查机器及连接部位O根据机器的结构检查漏泄、松驰、损坏等其要点
卸 开 检 修O确定定期性能检查时根据前要适当卸开检修,装配后机能。
其它的安全装置确定动作及拆卸检修O适宜各种机器的特性
控 制 盘确 定 电 灯O日常注意检查如果是异状要记录下来
确定开关位置O日常注意检查是否在所规定的范围
电 气 配 线接头及继电器触点黑状O日常注意检查,是否有松弛和损坏
其它排气监视装置排 气 浓 度O监视排气状态,确认燃烧是否正常燃烧时,进行水位检测器的排除,打开给水泵,报井、切断低水位,在各种所规定的水位确定是否动作。还有,决定每周星期日进行一次切断燃烧系统(或燃烧中负责人到场),进行主体排除,逐渐降低水位,打开给火泵和报井,确定在规定的水位的动作。
"} {"image_path": "images/5f7a50088a78e6f9b08c3995118bffcd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机 关项 目 县 委 政 府 保 安 科 抗 后 会
专 门 生 产 事 业 几 人16人
农业生产 今年计划细粮多少
今年共耕熟地多少35垧142亩131垧16垧
今年新开荒地多少20亩
今年共和菜地多少3亩2亩3垧2亩
共 计 种 地35亩162亩$132\\#^{\\text{①}}$16垧
种粮食亩数 麦子 利多少亩8垧32亩16垧5垧
打多少石
种糜谷多少6期30亩35垧3垧
种洋芋多少2垧5垧1亩
共 种 杂 粮 多 少19垧80亩80垧8垧
共种地多少亩35垧162亩132垧16垧
工业什 么 工 业纺 毛 线同 左同 左同 左
用 本 钱 多 少30270200
上一年生产出多少东 西毛线23斤
上 半 年 见 利 多 少
"} {"image_path": "images/7ee01fbe3ac7d91e4ddd06f3d6ffbc37.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
出生体重 (g)生后日龄<10001001 ~ 1500>1500
喂奶量 $~(\\mathrm{ml} /(\\mathrm{kg} \\cdot \\mathrm{d}))$
1121624
2242440
3363264
4484888
56064112
672 80136
784104152
896128
9120152
10144
11156
"} {"image_path": "images/7be75abaa16532c2b9be0f82aa83af7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指 标计量单位1997年1996年1997年为上年%
一、年末优抚对象
1.革命伤残人员289289100.0
其中: 伤残军人……289289100.0
2.烈军属人数63286328100.0
其中: 烈士家属100100100.0
牺牲病故军人家属6060100.0
3.在乡复员军人。14451445100.0
4.在乡退伍军人1268012680100.0
5.孤老人数152152100.0
二、抚恤、补助、优待情况
1.享受伤残抚恤人数289289100.0
2.享受定期抚恤金年末人数160160100.0
(1)烈士家属100100100.0
(2)牺牲病故军人家属6060100.0
3.享受定期补助年末人数16741634102.4
4.优待烈军属户数16081608100.0
5.优待总金额万元450.450100.0
其中: 优待军属金额万元419419100.0
"} {"image_path": "images/cef27774cf3f80785cf3b1a04fd26d8f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
nL(m)
140150160170180190200
0.107\"07\"08\"08\"09\"09\"10\"
0.253\"57\"01'01\"01'04\"01'08\"01'12\"01'16\"
0.302'51\"03'04\"03'16\"03'28\"03'40\"03'53\"04'05\"
0.406'28\"06'56\"07'23\"07'51\"08'19\"08'47\"09'14\"
0.512'02\"12'54\"13'45\"14'37\"15'28\"16'20\" 17'11\"
0.619'45\"21'10\"22'34\"23'59\"25'24\"26'48\" 28’13\"
0.729'43\"31'50\"33'58\"36'05\"38'12\"40'20\"42'27\"
0.841'53\"44'53\"47'52\"50'52\"53'52\"56'51\"59'51\"
0.956'08\"00'09\"04'09\"08'10\"12'10\"16'11\"20'11\"
1.012'11\"17'21\"22'30\"27'39\"32'49\"37'58\"43'07\"
"} {"image_path": "images/d39fd3dcffaa51c689610de4930250b9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
公 称 直 径 d螺 距 t公 称 直 径 d螺 距 t
第一系列第二系列第三系列粗 牙细 牙第一系列第二系列第三系列粗 牙细 牙
1621.5,1,(0.75),(0.5)766,4,3,2,1.5,(1)
171.5,(1)(78)2
20182.52,1.5,1,(0.75),(0.5)806,4,3,2,1.5,(1)
22(82)2
24 -32,1.5,1,(0.75)90856,4,3,2,(1.5)
252,1.5,(1)10095
(26)f.5110103
2732,1.5,1,(0.75)1251156,4,3,2,(1.5)
(28)2,1.5,1120
303.5(3),2,1.5,1,(0.75)130135
(32)2,1.5140150145
333.5(3),2,1.5,(1),(0.75)1556,4,3,(2)
35(1.5)160170165
36.43,2,1.5,(1)180175
(38)1.5190185
3943,2,1.5,(1)200195
40(3),(2),1.52056,4,3
42454.5(4),3.2,1.5,(1)210215
485220225
50(3),(2),1.5230
525(4),3,2,1.5,(1)240235
55(4),(3),2,1.5250245
565.54,3,2,1.5,(1)2556,4,(3)\\
58(4),(3),2,1.5260265
60(5.5)4,3.2,1.5,(1)270
62(4),(3),2,1.5275
6464,3,2,1.5,(1)280285
65(4),(3),2,1.5290
6864,3,2,1.5,(1)300295
70.(6),(4),(3),2,1.53106,4
726,4,3,2,1.5,(1)320330
75.(4),(3),2,1.5340350
"} {"image_path": "images/72415e852c8a9b490115d766a1dc55ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Color groupand generalcharacteristicsTherbligSymbolColor Eaglepencil* Dixon .ThinexpencilDefinition
YELLOW-ORANGE—DELAYTHERBLIGS(cont.)AvoidabledelayADLemon yellow7351/2374Begins when hand or bodymember deviates fromstandard method.
Consists of some movementor idleness not part ofmethod.
Ends when hand or bodymember returns to standardroutine.
Rest for over-comingfatigueROrange737372Begins when hand or bodymember is idle.
Consists of idleness which ispart of cycle and necessaryto overcome fatigue fromprevious work.
Ends when hand or bodymember is able to workagain.
"} {"image_path": "images/6348c9b25d0b3b6fc5433788aaae261b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
业 #时间项目 (一)1949.7士% (二)1949.12士% <三>1950.12士% (四)1851.12士% (五)1952.12土%
工业商业会计户 数471100607+28.91038+119.81176+149.71252+165.8
从业人员327010032794660+42.3608+53.466377+94.5
资 金19,8610025.59+29.936.42+83.483.09+318.4118.5+498.4
户 数636100760+10.5820+28.9788+23.9826+29.5
从业人员173410017342447+41.12534+46.12816+62.4
资 金26.8210032.04+19.542.76+59.475.34+180.979.39+196
户 数11901001367+23.31856+67.41064+77.12078+87.4
从业人员501310050137113+41.87566+50.99193+83.4
资 金46.6810057.63+23.479.19+69.6158.44+239.3197,44+322.9
"} {"image_path": "images/30e194d1e9fa71ea7d1a4df23c80cd82.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 别月 别征送名数接收部队备 考
一八拨交工兵团新兵
补送十二月份欠额兵
民国三十年十一月二四昭通团管区转拨一八二师验收
民国三十一年十二月一二五炮兵十三团内参乙级壮丁
民国三十二年四月八〇步三团补充营
六月甲级壮丁一二五陆军第三旅补充第三营营长苏北华派营附王雨甫来县验收,自三月十日至六月二日,每名兵并缴伙食费二百元
三八军政部独立第十一监护大队接兵员傅豪
九月四五军政部第三十六补充兵训练处第一团三营长赵继昌、十四连长杨时畅接收
三四志愿学兵
十月二四昭通团管区转拨一八二师第四期预征欠额十六名,乙级壮丁七名,补逃兵一名
三十三年三月七五陆军担架兵第十一团一营,接兵连长李凤仙
十月第一批八〇陆军暂编二十三师以上四批内系春季补充兵二百三十名,新兵大队一百五十名,此系配征之数,实征得三百五十名,孟正昌、施润伍等来县验收,每名壮丁缴伙食费二千五百元,后加收四千元,由未应征之户缴解。
第二批一〇三
三十四年一月第三批八五
三月第四批六二
二月一六云南省知识青年志愿从军征委会二月六日送达昆明点交征集委员
三十五年十二月-〇〇昆明军管区接兵员张朝清,每兵给安家费一半一万元,余半待发,一月六日出发
三十六年八月一一〇昭通团管区接兵员李曰唐验收
十二月三一保安队系第六总队十八大队,十一中队长董发珍来县验收,于十一月十六日离津
"} {"image_path": "images/c355daa30b5cd69da92ea378834df998.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月项目一 月二 月三 月四 月五 月六 月七 月八 月九 月十 月十一月十二月
上 旬0.0520.0220.010
中 旬0.5540.0180.013
下 旬0.0140.0100.010
月 平 均0.2000.0170.011
月 最 大3.250.0460.014
年 统 计最大日平均输沙率 - 月 日; 平均输沙率 - 輸沙量 - 公顿 | 侵蝕模數 - 公顿/平方公里
附 注本 站 系 58 年新设站, 从 10 月 1 日开 始实测单位水样。
"} {"image_path": "images/8df8703c29e69b07b85ac18631b84bf0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1251212100.0
2612433.3866.7
21712216.718.318.3866.7
2281218.31191.7
3101218.318.31083.3
32012650.0650.0
"} {"image_path": "images/da5bd6b5bd36f6b1be3e78a2785c71a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\underline{\\text{Mauritius - }}$$\\underline{\\text{United Kingdom}}$$\\underline{\\text{Mauritius }}$$\\underline{\\text{United Kingdom}}$
Signature:13/17 October 1983Entry into force:17 October 1983Points in Mauritius- Seychelles - Li -longwe - Dar -es-Sa-laam - Nairobi -Two points fromAthens, Rome, Zu-Points in the Uni-ted Kingdom - Apoint in Europe(including Cyprus)- Two points inAfrica (including
"} {"image_path": "images/6581609eacb873fd0aebd3b73bbb6156.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份运输线路里程 (公里)运 输 工 具 ( 台 )
通车里程站 线机 车(台)客 车(辆)货 车(辆)
1 9 6 01353890
1 9 6 11681664120
1 9 6 21349764120
1 9 6 31349454120
1 9 6 41115274120
1 9 6 513119294120
1 9 6 613820344120
1 9 6 7138203310120
1 9 6 8138202810120
1 9 6 9138203010120
1 9 7 0133203010121
1 9 7 1109173010124
1 9 7 2112153110124
1 9 7 3110152410125
1 9 7 4110151610142
1 9 7 5110151610124
1 9 7 6110151610124
1 9 7 7110151610124
1 9 7 8101151410124
"} {"image_path": "images/67f90ee6578f2c6d82895e54253db26b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
20:06:09(30,000,000원)
162012.06.12.16:30:553,000,000
172012.06.15.16:51:254,000,000F은행_마이너스대 출(20,000,000원)
182012.06.20.16:10:137,000,000
192012.07.04.11:11:4210,000,000F은행_신용대출(50,000,000원)
202012.07.04.11:15:4610,000,000
212012.07.04.11:17:2610,000,000
222012.07.20.10:47:2410,000,000
232012.07.20.10:49:176,000,000
242012.08.17.17:18:584,000,000 E은행(마이너스대출)
252012.08.28.15:32:455,000,000\"
262012.08.28.16:57:3010,000,000AM_신용대출(30,000,000원)
272012.08.28.17:00:0210,000,000
282012.08.28.17:04:395,000,000
292012.08.31.13:36:013,000,000
302012.09.24.17:49:091,200,000E은행(마이너스대출)
312012.10.1017:28:461,000,000\"
322012.11.21.14:41:3010,000,000돈을 빌려주면 빠른 시일내에 이자와함께 틀림없이 변제 할 것을 약속개인 주식매각
332012.11.21.14:43:008,000,000\"
"} {"image_path": "images/d12eb4019c2bdaa1cbaac8c815dbf2c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
厂 名项 目上 海国棉八厂河北石家庄国棉三厂河北石家庄国棉三厂山西临汾纺 织 厂山西临汾纺 织 厂山西襄汾纺 织 厂山东济南国棉二厂江苏清江棉纺织厂江苏江浦纺 织 厂陕西第十棉纺织厂
织 物 名 称$20^{s}\\times 20^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~卡其$$21^{s}\\times 21^{s}$$~~~~~斜纹$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~单卡$
原纱条件原料名称与混和比纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉
纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉
号(支)数292827.827.827.827.827.8($21^s$)2827.8
292827.827.827.8($21^s$)27.8($21^s$)2827.8
捻 度捻系数:370$16.3/时$17.61/时73.773.717.55/时
捻系数:32815.7/时15.9/时64.664.615.35/时
捻 向ZZZZZ
ZZZZZ
标准干重(克/100米)2.6732.7132.5622.5592.5592.5622.5622.559
2.6732.7132.5622.5592.5592.5622.5622.559
品质指标(分)205020502050
195019501950
用纱量经 纱公斤/千米125.762122.937107.3890.90108.579126.06128.810127.736128.18
纬 纱64.69168.20659.5760.1559.57565.0466.05565.71365.27
合 计166.95151.05168.154191.1193.449193.43
"} {"image_path": "images/138f53f528fea9f9d18f545ddf8db9e7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
种类材料名称硬 度 要 求适用对象
布氏硬度火焰或感应淬火渗氮淬火最低硬度表面的硬度差HV$_3$氮化深度Nht渗碳淬火最低硬度表面硬化深度Eht(m m)
HBmax在表面HRC在淬硬层深度内$HV_{1}$淬硬深度Rht(m m)在表层HV$_3$在 氮 化 层内$HV_{3}$在表面HRC在表淬深度内$H V_{1}$
合金调质钢 +火焰或感应淬火钢 42CrMo4V(41Cr Mo4V)24154 + 64752~6600310+ 1000.6---大齿轮、人字齿轮
50CrMo4V(49CrMo4V)24856 + 65002~4600310+ 1000.6---小齿轮轴、圆锥齿轮
34CrNiMo6 V24852 + 64502~6600330+ 1000.6----小齿轮、轴齿轮、人字齿轮、大齿轮
30CrNiMo8V248---650350+ 1000.6---齿 轮
30CrMoV9V248---700380+ 1000.6----齿 轮
渗碳钢16MnCr5207---600350+ 500.557 + 5550小齿轮、大齿轮、圆锥齿轮
20MnCr5217---650350+ 500.557 + 5550
15CrNi6217---600400+ 500.557 + 5550小齿轮、人字齿轮、大齿轮
17CrNiMo6229---600350+ 500.557 + 5550传动件
球墨铸铁GGG-50150~240---600310+ 1000.6---传动件
GGG-60175~29047 + 63752~4600310+ 1000.6----齿 轮
GGG-70210~22047 + 63752~4600310+ 1000.6---齿 轮
铸钢GS-60.3175~220----------传动件
调质铸钢和火焰 、电感应淬火铸钢GS-CK45 V175~22055 + 65002~4小齿轮、齿轮
GS-30M n5 V170~220---齿 轮
GS-25CrMo4 V170~220160~220----齿轮、小齿轮、圆锥齿轮
GS-42CrMo4 V220~260200~250200~250195~240195~24054 + 64752~6齿轮、小齿轮、圆锥齿轮
"} {"image_path": "images/7f8e331be75bfb90635ef4e64f06b9e1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
For eachTwo ....11 points
For each Ace ....10 points
For each King .1..5 points
For each Queen...4 points
For each Knave...3 points
"} {"image_path": "images/3ac1f5ee73c3e0a12abbc5e21fcb64f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
12345678910
绝缘子额定电压$~~U_N$(有效值)$ \\begin{align*}&\\text{绝缘子最高}\\\\ &~~~\\text{电压}\\\\ &~~~U_{m}\\\\ &~~(\\text{有效值})\\end{align*} $额定工频一分钟耐受电压(有效值)额定雷电冲击耐受电压(峰值)额定操作冲击耐受电压(峰值)(干和湿)$^{②}$套管支柱绝缘子
内绝缘(干) 外绝缘$^{②}$(干和湿)变压器、电抗器套管全波变压器套管截波其它套管和支柱绝缘子全波
变压器、电抗器套管其它套管
66.92623606560--
1011.53730758575--
1517.5-40--105--
20235850125140125--
3540.59080200220185--
6369147140325360325--
110126220185480530450--
220252395360850935850--
4353959501050950--
330363485460$^{①}$105011751050850850
535510$^{①}$117513001175950950
500550660630$^{①}$14251550142510501175
715680$^{①}$15501675155011751240
-740$^{①}$--1675
"} {"image_path": "images/c659ad68c7b7d9da94d39082130ee95c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
traditionalformsspokenspoken writtenwritten organisation and structure of content
free
$\\updownarrow$
rigid
DIALOGUE        ESSAY
← MEMO →
← REPORT→
← SCHEDULE →
linguisti-cally
$\\updownarrow$
non-linguisti-cally
area of special languages
"} {"image_path": "images/062e9038964184a003344560a2a8cbd9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时 间人 数工作人员名单
1952年8田庆敏 黄永善 李金荣 黄永义 张 宜孟繁兴 宋毅仁 罗仁毅
1965年9黄永善 贾桂兰(女) 罗仁毅 鲁宝成黄永义 董秀英(女) 李国仲 侯进国何 山
1969年14黄永善 贾桂兰(女) 罗仁毅 黄永义李国仲 侯进国 鲁宝成 董秀英(女)何 山 李晓燕(女) 许德芬(女)马秀芬(女) 庞桂荣(女) 袁树英
1978年14黄永善 陈维和 贾桂兰(女) 李国仲鲁宝成 许德芬(女) 李晓燕(女)马秀芬(女) 董秀英(女) 何 山侯进国 罗文惠(女) 黄永义 张桂兰(女)
1984年 7 月17陈维和 关志远 鲁宝成 李晓燕(女)黄维芳 于国顺 关顺生 侯进国 吴耀忠张佑然 姚惠军 曹国华(女) 罗文惠(女)马秀芬(女) 董景利 张桂兰(女)
1988年16关志远 鲁宝成 李晓燕 夏玉梅(女)董景利 张庆华 关顺生 孟贵山 吴耀忠侯进国 马秀芬(女) 罗文惠(女)曹国华(女) 姚惠军 张桂兰(女)董秀英(女)
"} {"image_path": "images/84d077ff5528a7c73dfc67e12b724ea7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
部 门位 置
12345$\\leftarrow$----虚列
售 鞋 部1061280
玩 具 部15185110
汽车零件部17101316
库 房14121310
唱 片 部14166120
"} {"image_path": "images/6d3e20fc307c3c87a0f796c4ed2ce532.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓 名性别出生年月籍 贯参加革命年月入党团年月牺牲年月牺牲地点牺牲时所在单位牺牲时职务备 注
丁国栋1930贵州省岚冈县蜂岩区天桥公社七一大队新光生产队19517●朝 鲜 中国人民志愿军补训十师四十九团战士
向国华1936$1_●$贵州省凤冈县蜂岩区桃坪公社新华大队龙润生产队1951$5_●$1952朝 鲜中国人民志愿军三十八军一一四师三四〇团战士
冀绍华19292●贵州省凤冈县蜂岩区蜂岩公社中山大队毛坡生产队1951$7_●$19533.12华东某地 中国人民解放军八十五师二五四团三营四连战士
王全智1928$11_●$贵州省岚冈县蜂岩区朱场公社1951团员1953朝 鲜 中国人民志愿军某 部战士
陆恩庆男1931贵州省凤冈县蜂岩区朱场公社巡检大队1951$7_●$1952朝 鲜中国人民志愿军某 部战士
"} {"image_path": "images/f823e632b481358ffb2bfb2d69592d20.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
种 类处理天数处理温度(℃)萌发温度(℃)田间出苗情况
达50%出苗率所需时间(天)出苗率(%)
胡萝卜处理CK7—15—101012.521.07971
胡萝卜处理CK7—15—5536.0—57(49天)0(49天)
洋葱处理CK12—15—101013.320.072(30天)70(49天)
"} {"image_path": "images/b1fb6ef4905b4e8da495fdeea1dffbfe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
符 号意 义
$\\sum \\pi_{A A}$ 原子自身可极化度加和
分子极化度
$\\alpha$$\\alpha = 1/3(\\alpha_{xx} + \\alpha_{yy} + \\alpha_{zz})$$\\beta^2 = 1/2[(\\alpha_{xx} - \\alpha_{yy})^2$$~~~~~~~+(\\alpha_{yy} - \\alpha_{zz})^2 + (\\alpha_{zz} - \\alpha_{xx})]$$\\rho = \\sum_{A=1}^{N} |Q_A| / N$$\\alpha$分子极化度分子的平均极化度极化度的异向性分子的极化性,为分子中全部原子纯电子电荷的加和极化度张量
偶极矩及极性指数
$\\mu $μ chur,μ hybrμ²$D_x, D_y, D_z$Δ$T^{\\mathrm{E}} = \\sum \\frac{|q_i - q_j|}{r_{ij}^2}$$D = \\underset{A,B}\\sum {|~Q_{\\mathrm{A}} - Q_{\\mathrm{B}}~|}{~/N_{\\mathrm{AB}}}$τ分子的偶极矩偶极矩中的电荷及杂化成分分子偶极矩的平方沿惯性轴偶极矩的分量亚分子极性参数,即在二原子之间最大的电荷差拓扑电子指数,即在分子中所有原子对电子过剩电荷差值的绝对值加和被二原子间距离平方除局部偶极指数,即对于所有相连原子对的加和四极矩张量
$E_{\\mathrm{T}}$$E_{\\text{b}} =\\underset{i}{\\overset{n}{\\sum}} E_{\\text{ai}} - E_{\\text{T}}$$\\Delta (H_i^\\circ)$$\\Delta(\\Delta H_i^\\circ)$IPEA$\\Delta E$总能键合能生成热相对生成热离子化势电子亲和性,即中性和阴离子基团间总能的差值质子化能,即质子化的和中性的总能之差值
"} {"image_path": "images/f823e632b481358ffb2bfb2d69592d20.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
种 类处理天数处理温度(℃)萌发温度(℃)田间出苗情况
达50%出苗率所需时间(天)出苗率(%)
胡萝卜处理
CK
7
15
10
10
12.5
21.0
79
71
胡萝卜处理
CK
7
15
5
5
36.0
57(49天)
0(49天)
洋葱处理
CK
12
15
10
10
13.3
20.0
72(30天)
70(49天)
"} {"image_path": "images/062ec384bc0ce213b35f6a786a6f429e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
長 宽 指 数類 型20.1~3030.1~4040.1~5050.1~6060.1~7070.1~80合 計
1. 弧刃類一般下寛型(I10)件 數百分比00 619.35 2064.52 516.130000 31100.00
2. 弧彫類平頂下寬型(I11)件 數百分比 15.00 210.00 630.00 735.00 315.00 15.00 20100.00
3. 弧彌類束柄下寬型(I12)件 數百分比00 110.00 220.00 550.00 220.0000 10100.00
4. 弧刃類一般中寬型(I20)件 數百分比 12.94 1029.41 1852.94 411.77 12.9400 34100.00
5. 弧刃類平頂中寬型(I21)件 數百分比00 515.63 1856.25 928.130000 32100.00
6. 弧刃類束柄中寬型(122)件 數0001012
7. 弧刃類束頭中寬型(124)件 數0110002
"} {"image_path": "images/e1702c61aeacb943c2da1f1420fa50fc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
生产单位砌 块 规 格(毫米)孔洞形状孔数(个)体积$(米^3)$空心率(%) 重量(公斤)备 注
焦 作 市硅酸盐制品厂$1180 \\times 880 \\times 200$圆孔60.20836.81289.2平模生产
$980 \\times 880 \\times 200$50.17238.39233.1
$780 \\times 880 \\times 200$40.13738.59185.1
$580 \\times 880 \\times 200$30.10238.92137.1
$380 \\times 880 \\times 200$20.06739.6189.0
$180 \\times 880 \\times 200$10.03241.8141.0
焦 作 市硅酸盐制品厂$1170 \\times 880 \\times 200$矩形孔40.20640.93267.7立模生产
$970 \\times 880 \\times 200$40.17139.95225.9
$770 \\times 880 \\times 200$30.13639.66180.5
$570 \\times 830\\times 200$20.10039.18133.8
$485 \\times 880 \\times 200$20.08536.62118.5
$285 \\times 880 \\times 200$10.05028.9278.2
"} {"image_path": "images/9689fdbc1f5397c0718ef3358aa83b0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
连接方式
实验时现象
设计原理
适用实验类型
"} {"image_path": "images/f30a69192493c665aa9423d5eafe52b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
成本项目甲车间乙车间厂 部
预算实际预算实际预算实际
直接材料250 000240 000160 000170 000
直接人工28 00030 00012 00011 000
制造费用9 60013 0005 0006 000
厂部可控费:
(1)管理人员薪金7 6008 000
(2)折旧5 0005 000
(3)其他费用3 0006 000
"} {"image_path": "images/f5f149b8a8ba1e1a3c85e69091fbd0ba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
业 别 家数 资 本 总 额(元)交易商品年交易额店员人数
最 高最 低普 通
土产粮业95.0001004,000食 粮160,00085
医 院21,000600西 药
典 当210,00019
杂 贷308,0001002,000杂 货400.000220
酱 菜11,2006,00014
煤 炭1 300无 煙 煤3,0006
绸 布 业236,0001002,000绸 缎 布 匹 280,000160
卷 烟 1300纸 烟750 4
煤 油11,000煤 油6.0005
估 衣2200旧 衣12,00014
茶 叶24,000300茶 叶6,00013
油 业5 3,0004001,000食 用 油58.00043
鲜 果 72,000100200水 果78,00054
"} {"image_path": "images/de527920cf26a09312cc8ffcf026815a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Pd 含量/% 反应温度/℃$\\Delta H或E/(kJ·mol^{-1})$
223850
$K/\\mathrm{mL}\\cdot\\mathrm{g}^{-1}$
0.0515.011.79.3$\\Delta H=13.8$
0.1517.213.011.213.8
0.4519.816.313.113.4
$k_{\\mathrm{r}} / 10^{-3} \\cdot \\mathrm{s}^{-1}$
0.0525.660.5 60.5112 $E_{\\mathrm{a}}=34.0$
0.1542.785.613639.0
0.4551.988.914077.0
$k_{a} / \\mathrm{mL}(\\mathrm{g} \\cdot \\mathrm{s})^{-1}$
0.051.291.913.16$E_{\\mathrm{r}}=48.0$
0.151.892.526.5440.0
0.452.05 7.1618.732.0
$k_{0} / \\mathrm{mL}(\\mathrm{g} \\cdot \\mathrm{s})^{-1}$
0.050.2960.5820.783$E=30.0$
0.150.5310.7921.3029.0
0.450.6851.201.6729.4
$K k_{r} / k_{a}$
0.050.2980.1440.289-
0.150.3890.4420.233-
0.450.5010.2020.098-
"} {"image_path": "images/0a8d7821e73ef23f656879ee6d05e3ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科 目設 備
名 稱 及 编 號土地房屋建築及設備公共建設及設施機械設備
7 0008000000
内政部主管
7 0008580000
移民署
34,6413,01511,395
3708580000
民政支出
34,6413,01511,395
1 3708580100
一般行政
4,350
2 3708581100
入出國及移民管理業務
30,2913,01511,395
3 3708589000
一般建築及設備
1 3708589011
交通及運輸設備
"} {"image_path": "images/60bf0447b1fc85483032a036cadeaea3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
排序孔序孔 号段次段顶( m )段底( m )段长( m )灌前透水率( Lu )
单排孔I4 - I - 5131.336.35.054.32
236.341.35.038.97
341.346.35.040.82
446.351.35.017.65
551.356.35.029.78
656.361.35.016.11
761.366.24.917.28
866.271.25.018.19
971.276.25.08.41
4 - I - 9132.938.05.148.73
238.043.05.038.67
343.048.05.028.62
448.053.05.021.59
553.058.05.016.42
658.063.05.018.29
763.068.05.014.15
868.072.84.89.92
小 计25125.725.44
单排孔II4 - Ⅱ - 3130.436.46.0不返水
236.441.45.0不返水
341.446.45.029.79
446.451.45.014.02
551.456.45.09.56
656.461.45.016.55
761.465.64.216.14
865.670.85.23.82
4 - Ⅱ - 7132.737.75.034.25
237.742.75.026.45
342.747.75.016.20
447.752.75.017.04
552.757.75.011.71
657.762.75.016.35
762.767.75.09.02
867.772.54.86.24
小 计1680.216.03
"} {"image_path": "images/09706bb37e6102d7e4b066e68b330aae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名 称 配 方 性 能 及 用 途
1 907防锈冷涂脂苯 三 唑0.3%年,该品种具有高温不流失, 低温不开裂, 油膜透明, 柔软, 拉丝性好, 色泽美观, 涂覆性能好等特点
邻苯二甲酸二丁酯0.6%
地 蜡4%
2,6二叔丁基对甲酚0.25%
油溶性金红0.1%
凡士林 (医 用)余量
2 薄 层 脂十二烯基丁二酸3% 用于机床和各种金属制品的长期封存
石油磺酸钡7%
苯 三 唑0.1%
聚异丁烯母液27%
地蜡(75号)3~6%
凡士林 (医 用)余量
3 905;(即FZ-8)石油磺酸钡5%适用于轴承,工具,军械, 机械等金属制品的长期封存,对于海水的防蚀效果更为显著,也可用灯用煤油稀释作工序间油封用
苯 三 唑0.1%
司本-800.2%
工 业 凡 士 林余量
4 903(即FZ-4)石油磺酸钡10% 同上,但对铜的效果较905差
司本-800.3%
工 业 凡 士 林余量
5 501脂石油磺酸钡10% 室内贮存的零备件封存或用煤油稀释作工序间油封用
白 地 蜡4.5%
蜡 膏85.5%
6 2 号石油脂型防锈 脂80号地蜡6~8% 用于黑色金属的外部封存
30号机油3±2%
兰州蜡膏88±5%
二 壬 基 萘 磺 酸 钡3~5%
"} {"image_path": "images/9c79de3c7996cb725de57001ee1f4def.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名稱 :中文名稱:高二上數學補強
英文名稱 :
授課年段 :二上
內容屬性 :補強性
師資來源 :校內單科
學習目標 :進一步了解课内教材。
教學大綱 :週次/序單元/主題內容綱要
弧度量弧度量
弧度量弧長、扇形面積
週期性數學模型$\\sin$ 的函数圖形
按比例成長模型指數與對數
按比例成長模型指數函數及其圖形
按比例成長模型指數函數的應用
按比例成長模型對數函數及其圖形
按比例成長模型對數函數的應用
按比例成長模型連續複利與e的認識、自然對數函數
平面向量平面向量及其加法、减法
十一平面向量係數積、線性組合
十二平面向量平面向量的坐標表示法、加減法的坐標表示法
十三平面向量係數積、線性組合的坐標表示法
十四平面向量內積
十五平面向量夾角
十六平面向量平行、垂直
十七平面向量正射影
十八平面上的比例生活情境與平面幾何的比例問題
十九
二十
二十 一
二十 二
備註 :學生依據學習歷程及學群需求,自由跑班選擇。同時段亦可選擇自主學習。
"} {"image_path": "images/6ecc75f8f72edaf106b493435e861ad6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
性别频率百分比有效百分比累积百分比
有效6942.342.342.3
9457.757.7100.0
年龄
有效70 后3219.619.619.6
80 后13180.480.4100.0
收入
有效2000 以下4930.130.130.1
2001~30005332.532.562.6
3001~40002917.817.880.4
4001~5000159.29.289.6
5001~600053.13.192.6
6001~70001.6.693.3
7001~800031.81.895.1
8001 以上84.94.9100.0
"} {"image_path": "images/f3a73243a01400204ee0b3645f7d29de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
厂 名
项 目
上海
第六织布厂
辽宁北票县
纺织厂
河南郑州
国棉四厂
河南郑州
国棉四厂
上海
国棉十三厂
江苏南通县
第二纺织厂
黑 龙 江
尚志纺织厂
黑 龙 江
尚志纺织厂
江苏泰州
第二织布厂
江苏泰州
第二织布厂
织 物 名 称$ 32^S8\\times 21^S $绷带药纱布蚊帐布打包布针板底布白 绒纯麻粗平布涤麻细平布涤棉华夫格涤棉提花条
原纱条件原 料 名 称与 混 和 比纯棉纯棉纯棉纯棉纯棉纯棉纯棉$ \\begin{array}{l}~~\\text { T/L } \\\\ ( 6 5 / 35 )\\end{array} $
纯棉纯棉纯棉纯棉纯棉纯棉纯棉$ \\begin{array}{l}~~\\text { T/L } \\\\ (65 / 35)\\end{array} $
号 (支) 数18.21827.85819.5281182321( $28^{\\mathrm{s}}$ )z1( $28^{\\mathrm{s}}$ )
27.81827.858399613123 $21(28\\text{ mo})$ 14.7( $28^{\\mathrm{s}}$ )
捻 度88.269.756.7 捻系数442~49282捻系数340捻系数340
88.26356.7 捻系数320~35082捻系数3201 掺系数320
捻 向ZZZZZZZZZZ
ZZZZZZZZZZ
标准干重(克/100米)1.6591.82.5625.3463.5762.5812.0352.035
2.5811.82.5625.3463.5948.8482.0351.4244
品质指标(分)21502000205019002850205023002300
22001900195918002150160023002100
用纱量经 纱公斤/千米19.08520.6125.72797.854192.9793.577167.09863.66988.90789.383
纬 纱19.850821.6326.15685.223135.5164.88210.86258.52768.55448.909
合 计28.905842.2451.883183.077328.47258.146397.96122.196157.461138.292
"} {"image_path": "images/7a8f55e87f994b372b92105f34155b7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项次检查项目规定值或允许偏差实 测 值 或 实 测 偏 差 值质 量 评 定
12345678910平均、代表值合格率(%)权值实得分
1苗木规格与数量符合设计1001100
2种植穴规格符合 CJJ/T 82-1999 的规定1001100
3土层厚度符合 CJJ/T 82-1999 的规定X90190
4苗木成活率/(%)≥858786878586868790881002100
5△草坪覆盖率/(%)≥959796979496979596969590390
6其他地被植物发芽率/(%)≥858984928586878887898990290
合 计1094
外观鉴定边坡外测绿化带有1处连续缺株4株以上减分2检测人员意见评定合格检测人员:xxx监理工程师意见同意施工单位评定监理工程师:XXX
质量保证资料资料齐全、完整、真实减分0
工程质量等级合格得分92
"} {"image_path": "images/bdb9d7d41f0138a6e9d6661ddca69812.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
原料名称原料气的制造方法原 料 气 的 组 成
氢(H)$_{2}$一氧化碳(CO) 氮(N$_{2}$)二氧化碳$\\left(\\mathrm{CO}_{2}\\right)$甲烷$\\left(\\mathrm{CH}_{4}\\right)$ 硫化氢(H$_{2}$S) 氧(O$_{2}$)乙烷$ (C_{2} \\mathrm{H}_{5})$乙烯$(C _{2} \\mathrm{H}_{4})$有机硫毫克/米$^{3}$
焦炭或无烟煤固定层间歇气化法:
1.水煤气
2.半水煤气
45~50
36~37
38~40
32~35
4~7
21~22
6~7
6~9
0.5~0.7
0.3~0.5
0.2~0.5
0.2~0.3
0.2
0.2
~150
~120
褐 煤沸腾层气化法:
1.水煤气
2.半水煤气
42
33.2
28.6
26.0
1.57
19.1
26
20
1.5
1.5
0.2
0.2
~250
~200
加压气化法39.515.31.032.48.00.40.22.50.7
烟 煤粉煤气化法33.353.01.512.00.2<0.1微量
褐 煤27.257.12.511.80.21.5微量
焦炉气部分氧化法55.7315.0722.955.660.59
"} {"image_path": "images/95b89b51ac393dd8ee40d76b19772f7f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Field Year offirstproductionGeologic formation of producing zonesGeologic age of producing formationStructural controls
DISTRICT 5(FRESNO AND KINGS COUNTIEB)
Coalinga1887Temblor, Hondo, and Moreno formationsMiddle Miocene, Eocene, and UpperCretaceousHomocline and southeast-dipping asym-metrical anticline
East Coalinga Extension1938Gatchell sand of Domengine formationMiddle EoceneSoutheast-plunging anticlinal fold
Helm1941Chiefly Temblor; a little Eocene.Middle Miocene and Eocene Dome of low relief; faulted
Jacalitos1941TemblorMiddle MioceneProminent anticline, southeast plunge; un-conformity at top of oil sand; faulted
Kettleman North Dome1928Temblor, Vaqueros (?), and Avenal forma-tionsMiddle Miocene, lower Miocene, andmiddle EoceneNorthwest-trending elongated asymmetricaldome with more than 3,000 feet of closure
Pleasant Valley1943 Gatchell sand of Domengine formationMiddle EoceneSimilar to East Coalinga Extension (?)
Pyramid Hills1940SandsLower Oligocene ( ? ) or upper Eocene (? ) overlap (?)
Raisin City1941Continental beds of Temblor formationMiddle MioceneSoutheast plunge on structure of low closure
Riverdale1941TemblorMiddle MioceneAnticlinal fold with moderate closure
DomengineMiddle Eocene
"} {"image_path": "images/9b6b13528ce04093252c5ae75d1a8de8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项次名称项目允许偏差 (mm)检验方法
1碳素钢管道焊口平直度管壁厚10mm 以内管壁厚 1/4 用样板尺和尺检查
10mm 以上3
焊缝加强层高度+1 用焊接工具尺检查
宽度+3,-1
咬肉深度0.5 用焊接工具尺和尺检查
连续长度25
总长度(两测)小于焊缝长度的 10%
2不锈钢管道焊口平直度管壁厚10mm 以内管壁厚 1/6用样板尺和尺检查
10~20mm2
20mm 以上3
焊缝加强层高度+1用焊接工具尺检查
宽度+1
咬肉深度0.5用焊接工具尺和尺检查
连续长度25
总长度(两侧)小于焊缝长度的 10%
3工程塑料管道焊口平直度管壁厚10mm 以内管壁厚的 1/4用样板尺和尺检查
10mm 以上3
"} {"image_path": "images/8c2160f2b45eda413bf973ac905320a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
桌 號
身 長100一110(公分)100一120120一130130一140140一150150一160160一170
48(公分)52.57.62.68.75.80.
38(公分)38.4040.42.42.42.
55(公分)55.55.60.60.60.60.
110(公分)110.110.120.120.120.120.
27(公分)29.32.34.36.39.42.
25(公分)27.30.32.35.37.40.
55(公分)55.55.60.60.60.60.
110(公分)110.110·120.120.120.120
高 低 差21(公分)23.25.28.32.36.28.
備考椅背與桌縁之距離由26-38公分
"} {"image_path": "images/7d025de2ac60ef8bac21c51e0fb638a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
州、县驿 站方 位建置沿革资料来源
临川朝京文昌桥东宋置,元初改孔家驿清光绪《抚州府志》
清远县治北 35 公里宋初置,后废,元复置
南城游源县治北 20 公里宋置,元末毁《南城县志》卷2之3“馆驿”
曾潭县治南 20 公里宋置,元末毁
硝石县治东 20 里宋置,元末毁
蓝田县治东 37.5 公里宋置,元末毁
盱江县治东隅宋置,元末毁
新城凤池宋置,元末毁明正德《建昌府志》
南丰州嘉禾唐置,元末毁
广昌顺化宋置,元末毁
谨节元末毁
萍乡州黄花州治西 15 公里宋置湘东驿 , 元名黄花驿清 同 治《袁 州 府志》
爱直州治东 15 公里宋置,元末废
余干州古埠元为马驿清同治《饶州府志》
润陂元为马驿
鄱阳鄱江在南保坊元为马驿
石门街县治东北 75 公里宋元明均为驿站
德兴银峰县治西 20 公里宋置,元末毁
建节县治南 20 公里宋置,元末毁
余江安仁县治东隅元置为马驿
上饶葛阳县治东隅宋名饶阳驿,元改葛阳驿清 同 治《广 信 府志》
"} {"image_path": "images/55a1f7e049e7898ccd6ae78a9c934af0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省别第二審法院受 理 件 數
舊受新收
撤銷原制决
河南高 等 法 院113836949436
高等法院第一分院148206354125
高等法院第一分院附 設 地 方 庭19658429
開 封 地 方 法 院1516417946
鄭 縣 地 方 法 院110310441
洛 陽 地 方 法 院127289
山東高 等 法 院195724919288
濟 南 地 方 法 院1312213534
福 山 地 方 法 院218207
青 島 地 方 法 院696928
泰 安 地 方 法 院505014
陕西高 等 法 院912012968
長 安 地 方 法 院2464816
寧夏高 等 法 院 443
熱河高 等 法 院2646626
高 等 法 院附 設 地 方 庭44
察哈爾高 等 法 院5889336
綏遠高 等 法 院4444823
高 等 法 院附 設 地 方 庭121223
遼寧高 等 法 院7412081282787
高等法院第一分院212412671
"} {"image_path": "images/cc77ce634d2f84f1af7389d3ba5ab362.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型号外形尺寸(mm)额定载荷(kN)极限转速(r / min)重量(kg)参考价格(元)
dDB$\\Gamma_{~\\text{smin}}$$\\Gamma_{~\\text{1 smin}}$带切制保持架带冲压保持架脂润滑油润滑
$C_r$$C_{or}$$C_r$$C_{or}$
7072 B3605408252461824750100066.2
7076 AC3805608252528966940120067.2
7076 B380560825247287070094069.1
"} {"image_path": "images/e07b96ec853fd1d863b4c5a0841df176.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EventsPrevious work [14]Proposed approach
$\\#\\mathrm{of~facts~in}$$\\#\\mathrm{of~rvie~in}$Reasoning$\\#\\text{ of facts in KB}$$\\#\\text{ of rules in KB}$Reasoning
KBKBTime(ms)Time(ms)
100460178249420178194
20066027854066202783790
500116037813065112037811185
10002160+7850176212047840918
"} {"image_path": "images/55a1f7e049e7898ccd6ae78a9c934af0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省别第二審法院受 理 件 數
舊受新收
撤銷原判决
河南高 等 法 院113836949436
高等法院第一分院148206354125
高等法院第一分院附 設 地 方 庭19658429
開 封 地 方 法 院1516417946
鄭 縣 地 方 法 院110310441
洛 陽 地 方 法 院127289
山東高 等 法 院195724919288
濟 南 地 方 法 院1312213534
福 山 地 方 法 院218207
青 島 地 方 法 院696928
泰 安 地 方 法 院505014
陕西高 等 法 院912012968
長 安 地 方 法 院2464816
寧夏高 等 法 院 443
熱河高 等 法 院2646626
高 等 法 院附 設 地 方 庭44
察哈爾高 等 法 院5889336
綏遠高 等 法 院4444823
高 等 法 院附 設 地 方 庭121223
遼寧高 等 法 院7412081282787
高等法院第一分院212412671
"} {"image_path": "images/d98e008a11746aebc248dd076e0ae40a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
花西子完美日记润百颜敷尔佳小奥汀
COLORKEY林清轩橘朵逐本花知晓
江小白梅见钟薜高元气森林汉口二厂
王饱饱拉面说自嗨锅日食记小仙炖
小罐茶王小卤鹰集咖啡轩妈蛋黄酥乐纯
李子柒三顿半中街1946好欢螺认养一头牛
空刻谷物星球每日黑巧喜茶奈雪的茶
茶颜悦色Ubras内外蕉内Beaster
MLBrealmeusmileUlike云鲸
添可猫王收音机ninebot九号pinktop缤兔喵喵机
shark火鸡电器小熊电器超级零wonderlab
ffit8野兽生活超级文和友阿那亚泡泡玛特
气味图书馆理然宝宝馋了babycareKeep
好好住简爱瑷尔博士AOEO贝瑞甜心
"} {"image_path": "images/5e02e56d6b6b1da781877f25fb02ab36.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
種  類强 度 指 數每立方呎重量(磅)
灣屈率擠壓率硬度
鬆木杉木49562221
本松57672328
檜   (日)72823929
洋松   (美)66873230
美松   (日)76863630
赤松   (日)74803333
留安64723228
桂木   (日)93974031
"} {"image_path": "images/0d5b2f8a95f3f144b74454a502f9e153.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
教學大綱:週次/序單元/主題內容綱要
學期課程規劃簡介學期課程規劃簡介 丶組別聲部確認調整
課程內容簡介 丶基本能力測驗課程內容簡介 丶基本能力測驗
管弦樂團合奏練習/合唱練習管弦樂團合奏練習/肢體及呼吸練習 丶合唱練習(音樂劇或歌劇選曲)
管弦樂團合奏練習/合唱練習管弦樂曲合奏/歌曲分部練習 丶肢體開發練習 丶呼吸練習
管弦樂團合奏練習/合唱練習管弦樂團合奏練習(音樂劇 丶協奏曲)/合唱練習(音樂劇或歌劇選曲) 丶肢體及戲劇練習
管弦樂團合奏練習合唱練習管弦樂團合奏練習(音樂劇 丶協奏曲)/合唱練習(音樂劇或歌劇選曲) 丶肢體及戲劇練習
管弦樂曲合奏/歌曲合唱練習管弦樂曲合奏/歌曲合唱練習 丶呼吸練習 丶肢體律動練習
管弦樂曲合奏/歌曲合唱練習管弦樂曲合奏/歌曲合唱練習 丶呼吸練習 丶肢體律動練習
管弦樂曲合奏/歌曲合唱練習管弦樂曲合奏/歌曲合唱練習 丶呼吸練習 丶肢體律動練習
管弦樂曲合奏/歌曲合唱練習管弦樂曲合奏/歌曲合唱練習 丶肢體與聲音的配合
十一期中展演(音樂會)擔綱大型音樂會開場節目
十二音樂會後檢討音樂會後檢討 丶討論 丶心得分享
十三管弦樂團合奏練習/合唱練習管弦樂團合奏練習(新曲目視奏)/合唱練習(新曲目視唱)
十四管弦樂團合奏練習/合唱練習管弦樂團合奏練習(新曲目視奏)/合唱練習(新曲目視唱)
十五管弦樂團合奏練習/合唱練習管弦樂團合奏練習/合唱練習
十六管弦樂團合奏練習/合唱練習管弦樂團合奏練習/合唱練習
十七管弦樂團合奏練習/合唱練習管弦樂團合奏練習/合唱練習
十八管弦樂團合奏練習/合唱練習管弦樂團合奏練習/合唱練習
十九管弦樂曲合奏/歌曲合唱練習管弦樂曲合奏/歌曲合唱練習 丶肢體律動與聲音的配合
二十期末評量期末評量(分組實作 丶個人實作)
二十一期末評量期末評量(分組實作 丶個人實作)
二十二
學習評量:實作評量 丶觀察評量
對應學群:藝術,教育,
備註:
"} {"image_path": "images/cc5781b338accfb9dfad9fbb357c3243.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
数据 月日十一十二
144.1045.7443.9555.3564.1267.3566.9864.9260.4561.4456.8852.00
244.9045.2744.3559.2566.2267.4768.3064.3265.9061.1855.8052.20
343.9044.6343.8363.9068.1267.2767.9063.2264.5360.6055.9052.45
443.8045.1544.2565.2567.3066.8369.5061.9763.1559.8856.1052.30
543.8044.7344.4565.3367.3065.9569.7561.4862.8060.1556.9852.00
644.1043.6144.1563.2167.8265.4569.0061.2063.1060.9857.3852.55
743.6043.2544.1363.5167.6264.8568.0059.8063.7561.4457.9053.00
843.1043.5544.0765.5567.8264.2567.2060.3063.8562.0058.2553.80
943.2043.6544.1767.2266.5663.8566.8860.9064.3062.3058.6153.83
1043.3043.7344.4165.8865.4866.7566.4060.6064.3062.5058.6253.78
1143.1043.4546.2764.2265.6467.8566.6060.2063.7062.6058.0053.24
1243.3044.0546.0764.4765.1768.4566.9860.9063.6062.3057.5052.65
1343.2244.3546.1565.2264.9568.6567.6060.9263.7261.8456.7552.40
1443.9044.0546.1565.2265.2268.8568.7061.1263.5861.6056.4052.00
1543.6044.5545.9064.7966.2469.6568.7060.6062.9061.1655.60
1643.0046.0345.5064.3269.9269.7568.2860.0762.1360.9055.0350.95
1744.6545.0545.7064.2269.9369.1567.6059.4061.8260.2554.8051.70
1846.2543.8546.3564.3269.5268.2367.4358.9561.2059.4754.7051.75
1945.9044.5545.2963.6469.0267.2567.2558.5561.0458.7054.0051.45
2046.3544.2044.7064.3468.2767.5566.3058.2060.3857.5053.7052.20
2145.8544.2544.2563.6267.5766.8565.6058.0059.8057.8554.3052.58
2245.3343.8544.6563.1066.9266.1365.1057.7560.0059.0054.8252.82
2345.2343.3545.3062.6266.7765.7864.3057.1061.0059.9055.2552.54
2444.4543.3845.0762.9266.4365.4364.2057.1362.0060.3555.0052.85
2543.9043.7045.2562.8266.0565.0364.1058.2062.4860.8654.6253.20
2644.2542.9546.0562.8266.1364.7164.3059.1062.7460.7554.1553.00
2744.3543.2548.8562.9266.3565.3364.5059.8762.5059.9153.3052.50
2844.4543.3552.7063.3266.9566.4364.7060.2561.3259.0053.0051.94
2944.9543.3854.1064.0267.1067.8364.8060.4060.5558.2052.4551.40
3045.2054.4564.1267.1568.3365.0060.0662.2057.0352.0051.00
3145.2754.4567.2065.1259.5056.3551.00
"} {"image_path": "images/fc0734ecc5939e8a94e9e6393393eeaf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
作 合所屬合作社
b.運輸勞働者合作社a都市及勞動者合作社
四一一·四#三社數
一五·九九一·###社員數
一七·#九#一三三·六九四從業者數
四三·四四八·三七共三#一·#五#·三九八鎊事業额
八三八·一九六三·四九#·七一七鎊已付出資
"} {"image_path": "images/9b144d99bfe1b9c525a012b92823b822.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
参 量N = 2N = 4N = 8N = 16
$z_1$$y_1$00.798000.452800.245100.1284
$z_2$$y_2$0.98161.5100.50060.75600.25820.3881
$z_3$$y_3$1.0501.3440.52240.6568
$z_4$$y_4$1.7482.1520.79960.9424
$z_5$$y_5$1.0991.256
$z_6$$y_6$1.4371.618
$z_7$$y_7$1.8442.069
$z_8$$y_8$2.4012.733
$\\mathrm{D}=\\delta(n)$0.36340.11750.034540.009497
R11.9112.8253.765
"} {"image_path": "images/746961f8e77ad0e8efc6e8ca64d33327.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省别第三審法院受 理 件 数已 結末結
舊受新收驳囘上诉废弃原判和解撤囘其他
江蘇高等法院11070781752615011518710107
浙江高等法院87808895655133211580689
安徽高等法院82332411843336423011
江西高等法院28224252175363121537
湖北高等法院142082221633221120814
湖南高等法院5739044729659341337572
福建高等法院37 281318198572326058
廣東高等法院2466849303455981946477453
雲南高等法院5914920889371212979
河北高等法院4852857624613461011407169
高等法院第一分院303683982209216232177
高等法院第二分院12667851231753
"} {"image_path": "images/8c57ab3e012c48735f527ed4b718fda2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Men of ageWomen of age
2030405020304050
TuberculosisOther diseasesAccidents4·27·66·2 3·813·18·71·37·74·31·09·55·33·78·21·12·77·6·81·48·31·2 1·813·72·6
Total18·025·613·315·813·011·110·918·1
"} {"image_path": "images/6a4e626fa36f0b8d325f54f574705857.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\textcircled{0}$$\\textcircled{2}$$\\textcircled{8}$10$\\textcircled{16}$1824$\\textcircled{26}$
$\\textcircled{1}$$\\textcircled{3}$$\\textcircled{9}$11$\\textcircled{17}$1925$\\textcircled{27}$
$\\textcircled{4}$612$\\textcircled{14}$20$\\textcircled{22}$$\\textcircled{28}$$\\textcircled{30}$
5713$\\textcircled{15}$21$\\textcircled{23}$2931
"} {"image_path": "images/faef817e9cc50cacccc96eade1e6ed1f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
縣 别普 通 戶 口 数船 戶 口 数寺 廟 口 数公 共 處 所 口 数各 縣 人 口 總 数
合 計
吉 安234.931220.126465232146272.975342238.517220.727459.244
都 昌157.302134.0765788945158.248134.121292.869
分 宜97.00880.512605061261.8481.43498.97782.022180.999
廣 昌64.09052.450332455271964.94952.514117.463
瑞 金142.487130.955114.513171147.011131.126278.137
共 計7.233.4705.898.01239.68221.79214.4545.822134.72617.7947.422.3325.943.42013.365.752
"} {"image_path": "images/20e2588b83210eb847c225b4cd38e3b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
烧瓶No.氮素来源最初的pH2 天4 天8 天14 天终了时的 pH
Bacillus naphthalinicus liquefaciens
1 ${(NH_{4})_{2}SO_{4}}$6.6 溶液較为混浊,颜色很浅溶液混浊,浅色,发育很慢发育很慢,溶液顏色很浅,pH=4.5溶液混浊, 颜色很浅,无菌苔,发育很弱, 很少見到萘的数量减少4.3
24.3
3${(NH_{4})_{2}SO_{4}}$+0.5 克${CaCO_{3}}$7.6 溶液混浊, 呈浅綠色溶液混浊, 呈黄色繼續发育,溶液呈黃褐色,有菌苔,pH=6.2 (表面的)溶液混浊,呈深褐色 (幷带有綠色),菌苔很摩,所有的蔡均被利用6.7
46.2
5硝酸盐6.6溶液混浊,深色溶液混浊, 呈深黄綠色継续正常发育,溶液呈黄褐色溶液混浊,深色,有菌苔,极大部分的蔡被利用6.9
"} {"image_path": "images/fdce33160f5403e43459233d3eec7804.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$~~K_1$$\\text{GGC(Gly)} \\longrightarrow \\text{ter}$$~~K_2$$\\text{GGA(Pro)} \\longrightarrow \\text{ter}$$~~K_3$$\\text{GCC(Ala)} \\longrightarrow \\text{ter}$$~~K_4$$\\text{ATA(Ile)} \\longrightarrow \\text{ter}$
MetAla (1)
ATGGCN
ter
Trp (4)
TGG
ACC
Ter
MetPro (1)
ATGCCN
Ter
IleTyr (3)
ATYTA
TAXAT
ter
TrpAla (1)
TGGGCN
ter
TrpPro (1)
TGGCCN
Ter



IleMet (5)
ATYATG
TAXTAC
ter
TrpHis (2)
TGGCAY
ter
TrpAla (3)
TGGGCN
ACCCG
Ter

IleAsn (5)
ATYAAY
TAXTT
ter
TrpGln (2)
TGGCAX
ter
MetAla (3)
ATGGCN
TACCG
Ter 

TrpPro (2)
TGGCCN
ter
IleLys (5)
ATYAAX
TAXTT
ter
MetPro (3)
ATGCCN
TACGG
ter
IleIle (5)
ATYATY
TAXTA
ter
TrpPro (3)
TGGCCN
ACCGG
ter
IleThr (5)
ATYACN
TAXTG
ter
"} {"image_path": "images/5b8c3c3199eb5c4bbea9e54efdfbadbd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Laundry and Cleaner8Real Estate26
Law Office and Immigration Consultant20Restaurant115
Liquor Store63Restaurant Fixture1
Maintenance52Schools26
Maintenance Supply1Sewing Machine and Vacuum2
Marriage Office1Shoe Store and Repair34
Medical Doctor36Sign Company3
Music Instruction16Sporting Goods10
Newspaper9Stationery and Office Supply8
Night Club17Temple4
Non-Profit Organization126Theatre2
Notary Public3Trading Company158
Optical and Optometrist3Travel Agency31
Oriental Health, Acupuncture 2Trophy3
Oriental Health, Massage5Tropical Fish1
Oriental Health, Herb and Herb Pharmacy23TV and Radio Sales and Repair26
Painting9Wig and Beauty Supply152
Pharmacy3Miscellaneous4*
Photo Studio8Total1,995
Photo Typesetting1
Printing7$\\underline{\\underline{\\qquad\\qquad}}$
"} {"image_path": "images/f568f63fe990f6b4cd9c5d39415419d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
霜霉病菌来 源萌发温度资料来源
最适最低最高
P . philippinensis菲 律 宾19~201628Exconde (1970)
P . philippinensis菲 律 宾-1232Bonde (1979)
P . sacchari台 湾251034S un (1970)
P . sorghi印度南部21~251032 S afeeulla等 (1974)
P . sorghi 美国得克萨斯10~191027Bonde等 (1978)
S . graminicola印 度16~22432S uryanarayana (1966)
S . rayssiae var . zeae印 度22~25--S ingh等 (1970)
"} {"image_path": "images/2d34542a388f498f11b725344f79988d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FUTURSUBJONCTIFCONDITIONNELIMPÉRATIF
je paierai 







je paieje paierais 







paie
tu paiespayons
il paiepayez
nous payions
vous payiez
ils paient
je commencerai 







je commence je commencerais 







commence
tu commencescommentçons
il commencecommencez
nous commencions
vous commencicz
ils commencent
je mangerai 







je mangeje mangerais 







mange
tu mangesmangeons
il mangemangez
nous mangions
vous mangiez
ils mangent
que (qu')
j'irai 







j'aillej'irais 







va
tu aillesallons
il ailleallez
nous allions
vous alliez
ils aillent
j’ejour 







j'aiej'aurais 







aie
tu aiesayons
il aitayez
nous ayons
vous ayez
ils aient
je boirai 







je boiveje boirai 







bois
tu boivesbuvons
il boivebuvez
nous buvions
bous buvierz
ils boivent
je connaitrai 







je connaisseje connaitrais 







connais
tu connaissesconnaissons
il connaisseconnaissez
nous connaissions
vous connaissiez
ils connaissent
je devrai 







je doiveje devrais 







dois
tu doivesdevons
il doivedevez
nous devions
vous deviez
ils doivent
je dirai 







je diseje dirais 







dis
tu disesdisons
il disedites
nous disions
vous disiez
ils disent
"} {"image_path": "images/26f6c5c2f92168baaa03f188c331acb2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
值 的 比 例 关 系 ——估 费 用 的 百 分 比 (%)
电力供应、电气设备及电 力 照 明动力項目、通訊、信号及熱力設施自动装置和 控 制机械化速# # #及# ### 及 干燥 装 置 施 工 # #設 計总 圖及运 輸总 計
技术設計施工圖技术設計施工圖技术設計施工圖技术設計施工圖技术設計施工圖技术設計施工圖技术設計施工圖技术設計施工圖
13141516171819202122232425262728
161614121268575338-10-71 8138--5324100100100100
"} {"image_path": "images/84504d633fcd9ffd2c393d93ecccfe95.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月 份渡 口 (處)渡 船 (艘)
核 准開 航 數合 計黄 浦 江興淞江及內江
合 計黄浦江吳淞江及内江合計黄浦江吳淞江及内江輸 船木 船划 子木 船
一 月 份34191530141611218284523
二 月 份35191630141613516286922
三 月 份3619 -1731141714016286927
四 月 份36191731141714017296925
五 月 份36191731141713517256924
六 月 份35181730131711021224522
七 月 份36181831131811319244525
八 月 份36181830121811019224524
九 月 份37181931121911024154528
十 月 份37181931121910721154528
十 一 月 份37181931121910721154526
十 二 月 份37181931121910821164526
"} {"image_path": "images/fe371906fda97b449432c46bad4d48c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\text { Column } T-103 \\text { Summary } $
TrayTemp.CPressureKG/CM2Net Flow Rates DutiesM*KCAL/HR
LiquidVaporFeed Product
KG-MOL/HR
1146.70.401.312.7-0.1514
2151.70.401.214.0
3153.40.411.113.9
4154.30.421.113.8
5155.10.431.013.8
6155.80.441.013.7
7156.50.450.913.7
8157.20.460.913.6
9158.00.470.913.6
10158.60.480.813.6
11159.30.490.813.5
12160.00.500.713.5
13160.60.510.713.4
14161.30.520.713.4
15161.90.530.613.4
16162.50.540.613.3
17163.20.550.513.3.
18163.80.560.513.2
19164.40.570.513.2
20165.00.580.413.2
21165.50.590.413.1
22166.10.600.413.1
23166.70.610.313.1
24167.20.620.313.0
"} {"image_path": "images/f2f52a7160980a0ce2ee04aa5baec785.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地 区人数类 别二 地 委三 地 委四 地 委海浜工委特区工委总计
东台泰东兴化泰兴靖江如西泰县如皋南通海启通海工委通西工委
地方干部01 $\\triangle\\\\\\ 1$ $\\triangle\\\\\\ 8$ $\\triangle\\\\ 14$6 $\\triangle\\\\\\ 8$13 $\\triangle\\\\\\ 2$3 $\\triangle\\\\\\ 2$0150
外来干部912300211112621 2263
总 计913481489121585323113
"} {"image_path": "images/63b1dd415c49a1512d29bb12f95ab2d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
药物吸收分数尿中排出原药分数分布容积蛋白结合率(%)$t_{1/2}(h)$最低有效浓度(μg/ml)
Sulfaethylthiadiazole磺胺乙噻二唑0.93$ 0.176 L / k g $997.70.57
Sulfasomidine磺胺二甲异嘧啶0.780.09$ 0.316 L / k g $867.412.5~50
Sulfisoxazole磺胺二甲异噁唑1.00.530.16L/kg866.01~20
Sulfamethazine磺胺二甲嘧啶0.850.1~0.30.61L/kg807.0$ 10\\sim 100 $
Sulfamethoxazole磺胺甲噁唑0.90.30.22L/kg6811.0$0.2 \\sim 50$
Sulfamethoxydiazine磺胺甲氧嘧啶1.00.261L/kg8736.61~20
Sumatriptan舒马曲坦0.14±0.05(口服)0.97±0.16(舌下)$ 0.22 \\pm 0.04 $(0.65±0.1)L/kg14~21$ 1.9\\pm 0.3 $
Tamoxifen他莫昔芬<0.0150~60L/kg>9896~264
Terbutaline硫酸特布他林$0.14 \\pm 0.02$$0.56 \\pm 0.04$(125±15)L2014±22.3±1.8ng/ml
Tetracycline四环素0.77$ 0.58\\pm 0.08 $(105±6)L65±3$ 11\\pm 1.5 $0.8
Theophylline茶碱$0.96 \\pm 0.08$$ 0.18\\pm 0.03 $(35±11)L56±4$ 8.1 \\pm 2.4 $10~20
Thiopental Sodium硫喷妥钠<0.01$ 2.3L/kg $859.0
Timolol噻吗洛尔0.500.15$ 2.1L/kg $604.1
Tobramycin Sulfate硫酸妥布霉素0.90$ (18\\pm 6)L $<10$ 2.2\\pm 0.1 $$ 0.03\\sim 2 $
Tocainide妥卡胺$0.89 \\pm 0.05$$0.38 \\pm 0.07$(210±15)L10±1514±26~15
Tolbutamide甲苯磺丁脲$0.93 \\pm 0.10$0(7±1)L96±1$ 5.9\\pm 1.4 $$ 80\\sim 240 $
Triamterene氨苯蝶啶0.520.5213. $4 \\mathrm{~L} / \\mathrm{kg}$614.2
Triazolam三唑仑1$ 0.8\\sim 1.8L/kg $901.5~5
Trimethoprim甲氧苄啶0.950.36$ 2.0L/kg $7014.0$ 0.5 \\sim 12 $
Tubocurarine氯筒箭毒碱$ 0.63\\pm 0.35 $$ (27 \\pm 8) L $50±8$ 2.0\\pm 1.1 $$ 0.6\\pm 0.2 $
Valproic acid丙戊酸$ 1 \\pm 0.10 $$0.018 \\pm 0.024$(9.1±2.8)L93±114±330~100
Vancomycin万古霉素$ 0.79\\pm 0.11 $$ (27\\pm 4)L $30±10$ 5.6\\pm 1.8 $
Verapamil维拉帕米0.22±0.08(口服)0.35±0.13(舌下)<0.03$(5.0 \\pm 2.1) \\mathrm{L} / \\mathrm{kg}$90±24. $0 \\pm 1.5$$ 0.12 \\pm 0.02 $
Warfarin华法林$ 0.93 \\pm 0.08 $<0.02$ (9.8\\pm 4.2)L $99±137±15$ 2.2\\pm 0.4 $
Zidovudine齐多夫定$0.63 \\pm 0.13$$0.18 \\pm 0.05$$(1.4 \\pm 0.4) \\mathrm{L} / \\mathrm{kg}$<25$1.1 \\pm 0.2$
Zalcitabine扎西他滨$ 0.88\\pm 0.17 $$ 0.65 \\pm 0.17 $$(0.53 \\pm 0.13) \\mathrm{L} / \\mathrm{kg}$<4$ 2.0\\pm 0.8 $
"} {"image_path": "images/17e7a1ee39c62c1e8be63f0bb79e8078.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产地名称产地名称产地名称产地名称
北京市白虎涧红辽宁省青山白河南省淇县森林绿福建省连城花
密云桃花绥中虎皮花绥中浅红辉县金河花罗源樱花红
延庆青灰吉林省吉林白 G2201贵州省罗甸绿罗源紫罗兰罗源红
房山灰白黑龙江省楚山灰福建省晋江巴厝白连城红
房山瑞雪安徽省3岳西墨泉州白古田桃花红
河北省平山山板玉岳西绿豹南安雪里梅宁德丁香紫
平山绿岳西豹眼龙海黄玫瑰宁德金沙黄
平山柏坡黄皖西红康美黑长乐红
易县黑金寨星彩蓝漳浦青华安九龙壁
涿鹿樱花红天堂玉洪塘白浦城百丈青
承德燕山绿龙舒红晋江清透白浦城牡丹红
山西省北岳黑浙江省安吉红肖厝白石井锈石
灵丘贵妃红龙川红龙泉红福鼎黑
恒山青温州红海沧白光泽红
广灵象牙黄上虞菊花红武夷红光泽高源红
灵丘太白青上虞银花武夷蓝冰花光泽铁关红
灵丘山杏花嵊州樱花嵊州红玉晋江陈山白漳浦马头花
代县金梦仕阳芝麻白晋江内厝白光泽珍珠红
内蒙古自治区白塔沟丰镇黑三门雪花安溪红 永定红
傲包黑磐安紫檀香安海白邵武青
喀旗黑金刚嵊州东方红大洋青湖北省麻城彩云花
诺尔红嵊州云花红南平青麻城鸽血红
阴山红嵊州墨玉东石白麻城龙衣
凉城绿司前一品红漳浦红麻城平靖红
辽宁省凤城杜鹃红仕阳青南平黑三峡红
建平黑安吉芙蓉花长乐、屏南同安白荧麻黑三峡绿
绥中芝麻白陇南芝麻白南平闽江红宜昌黑白花
绥中白甘肃省陇南清水红宜昌芝麻绿
"} {"image_path": "images/82ddcdad4cd073ac795a7f0a9649857b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
課程名稱 :中文名稱:生物醫學讀報客
英文名稱:Biomedical Sciences in News
授課年段 :一上、一下學分總數:1
課程屬性 :通識性課程
師資來源 :校內單科
課綱核心素養 :A自主行動 :A2.系統思考與問題解決,
B溝通互動 :B2.科技資訊與媒體素養,
C社會參與 : C3.多元文化與國際理解,
學生圖像 :一2閱讀理解, 一3理性批判, 二-2溝通表達, 二-4全球思维,
學習目標 :(一) 培養學生讀報興趣與習慣(二) 藉由讀報練習學生的口說與朗讀能力(三) 讓學生認識生物醫學領域的新聞時事並進一步與自己的生活結合(四) 構思科學展覽可能的研究主題與方向(五) 能慢慢養成批判報紙內新聞內容正確性的能力(六) 結合數位科技於期末產出科學主題的研究報告
教學大綱 :週次/序單元/ 主題內容綱要
外來種外來種對生態的危害
寄生蟲寄生蟲與人類的關係
遺傳工程遺傳工程與應用
複製動物器官與個體的重生
毒品人工與天然毒品
過漁台灣海洋資源的浩劫
生物累積作用吃什麼動物不太好
節能減碳溫室效應與綠能
過敏蕁麻疹與休克
+荷爾蒙激素與人體的關係
十一環境荷爾蒙塑化劑對人體的影響
十二失智症老年危機怎麼來的
十三病毒近代的病毒危機
十四細菌捲土重來的細菌
十五心臟病常見的心臟疾病
十六主題報告(一)期初分組的主題成果展示
十七主題報告(二)期初分組的主題成果展示
十八主題報告(三)期初分組的主題成果展示
十九
二十
二十一
二十二
學習評量 :小組議題辯論 :30%個人期末報告 :30%酷課雲作業(隨堂作業) :30%課堂表現 :10%
備註 :
"} {"image_path": "images/6be2bed783ffe6de0785260ef7f77269.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型式项 目型 号 及 其 参 数
SWC・ I58SWC・ I65SWC・ I75SWC・ I90SWC-I100 SWC・ I120SWC・ I150SWC・ I180 SWC・ I200SWC・ I225
A、B、C、D、E型标准回转直径 $D/mm$58657590100120150180200225
公称转矩 $T_{o} / \\mathrm{N} \\cdot \\mathrm{m}$150250400750125025005000125001500018000
疲劳转矩 $T_{f} / N \\cdot m$7512520037562512502500625075009000
标准法兰直径 $D_{f} / \\mathrm{mm}$58657590100120150180200225
$ D_{1}\\ ( \\pm 0 . I) $min47526274.584101.5130155.5174196
$ D_{2}\\ (117) $30354247577590110125140
$D_3$3842505463.57695114133133
$L_m$35404550557085110120135
$k$3.54.55.56.07.08.010.017.020.025.0
$t$1.51.72.02.52.52.53.03.04.05.0
$n$4464688888
$d$ (C12)566881012141416
$β/\\ \\ (°)$35353535353535252525
法兰规 格M5M6M6M8M8M10M12M16M16M16
螺栓拧 紧 力 矩 /N·m71313323264111270270270
A 型长度 $L/mm$3253603954354655506108409201025
$ \\text { 伸长量 } L_{ } / \\mathrm{mm} $35404045558080100120140
重量 /kg2.23.05.06.69.515.72656.781101
B 型长度 $ L/mm$225245265290300350390550590650
重量 /kg1.72.43.85.77.713.123.65575103
C 型长度 $ L/mm$140160180200220280340440480540
重量 /kg1.31.953.15.07.012.322.654.974.3107.0
D 型长度 $ L/mm$280310340380395470530690750830
重量 /kg1.92.84.66.89.215.428.165.290 2128.4
E 型长度 $ L/mm$38543047052556067075098010751205
伸长量 $L_{v} / \\mathrm{mm}$35404045558080100120140
重量 /kg3.14.47.310.214.524.141.693.0132.3176.2
"} {"image_path": "images/a643540f2a305b53e260a26526b756be.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
項别警 額省 别人 口整理時應需官警現 有 官 警
警 官長 警警官長警
四川成 都519,608 2283,2272131,946
重 庆471,018 2482,0402431,400
1 3 5 縣4,050,00043,194,3752,700189,4105635,670
雲南昆 明143,7002106902021,004
1 2 縣13設治局1,120,00010,634,7572,24036,8542771,367
貴州貴 陽123,01817060063776
8 4 縣672,0009,123,7761,68029,8081181,341
前 期 合 計
甘肅蘭 州108,530132532114814
6 6 縣2 設治局528,0006,607,8751,32022,0213291,946
寧夏寧 夏34,7897620634206
1 0 縣3 設治局50,000893,6092002,93998355
青海西 宁165,61711277274212
1 7 縣340,000690,4373404,04494284
西康康 定10,0005684925
4 6 縣2設治局368,0002,061,0369208,983
後 期 合 計
總 計
"} {"image_path": "images/1649fce985fa49e5e1a4959c36dc599e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓 名届 次
徐焕章56789
徐崇椿9
徐寅生1234
徐善富8
徐赣生9
席德尧789
唐仁智9
郭友于56789
郭令安8
郭立官2
郭世德9
郭佛海9
郭怀瑾(女)678
郭斯堂9
郭斯嘉8
高小宽1234
高木兰(女)5
高文辉6
高远动567
高贤圣4
"} {"image_path": "images/59697eb29a6cd817827b4371779f2de1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
跨長或受載長度(米)对 於 簡 支 梁 的 力 矩 跨長或受載長度(米)
在跨度$K$ 的中點(噸/米) 在跨度 $K$的四分之一點(噸/米)在支座处对於切力
(噸/米)
119.0059.0019.001
29.509.509.502
36.336.336.333
44.754.754.754
53.803.804.085
63.173.173.566
72.712.963.147
82.882.672.828
92.272.432.659
102.162.232.5410
112.052.052.4311
121.952.002.8112
131.851.932.2013
141.751.862.0914
151.671.802.0015
161.601.731.9116
181.551.651.7818
201.481.571.6720
221.411.491.6222
241.351.441.5724
261.821.881.5126
281.291.341.4528
301.281.321.4130
321.261.291.3932
361.191.221.3236
401.151.161.2740
501.101.101.1850
601.051.051.1360
701.011.011.0870
800.990.991.0580
900.970.971.0390
1000.960.961.01100
1200.940.940.98120
1400.930.930.96140
1600.920.920.94160
"} {"image_path": "images/46f634b21a8145cbe2d9e75ca89c06a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Value of parameters Exact solutionApproximate solution according to
$\\theta_{0}$$-\\theta_{in}$β=0β=0.03(15)(16) and (18)(16) and (17)
$-1<\\partial_{0}<0$
-0.762510.3010.5011.7711.7710.28
2010.0010.2911.5311.5410.05
159.739.9311.2311.239.75
109.309.5510.8010.809.31
-0.68259.009.2210.3510.249.10
208.778.9910.1210.008.87
158.478.699.839.718.57
108.048,269.409.288.14
-0.45257.037.208.207.907.29
206.806.977.987.586.97
156.516.677.687.296.68
106.096.257.256.876.26
-0.20255.946.077.066.966.15
205.725.856.836.735.92
155.425.566.546.445.63
105.015.156.136.035.22
"} {"image_path": "images/46622d5fb0b929052b111cb933cd1683.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一 画忆-----------3对-----------11
#一#为-----------3民-----------11
一-----------1#一#加-----------11
开-----------4辽-----------11
,二 画井-----------4#1#
无-----------4北-----------11
#一#五-----------4目-----------11
二-----------1犬-----------4四-----------11
七-----------1太-----------4#
又-----------1友-----------4丢-----------11
力-----------1车-----------4乐-----------11
##1#纠-----------11
八-----------2中-----------5
人-----------2以-----------9六 画
#
三 画从-----------9#
今-----------9安-----------12
#毛-----------9刘-----------12
亡-----------2什-----------10庆-----------12
广-----------2长-----------10军-----------12
#一#反-----------10农-----------12
三-----------2论-----------12
下-----------3五 画关-----------12
工-----------3#一#
土-----------3#动-----------14
大-----------3永-----------10再-----------14
马-----------3讨-----------10共-----------14
#1#记-----------10 -----------14
上-----------3必-----------10在-----------14
#一#百-----------14
四 画证-----------11阶-----------14
打-----------11#1#
#东-----------11团-----------14
文-----------3矛-----------11回-----------15
- 1 -
"} {"image_path": "images/1225d35f06696cc75c814e63b00f2ec9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\ \\lambda$m$\\mu $$Optical density against appropriate blank$ $pK_1^{\\prime}$$pK_{1}$
pH=0.54pH=2.95
I=0.045
$pH=3.69_{5}$
I=0.045
$pH=6.53_5$
2551.1651.002-0.7183.19
-0.8453.29
2601.1040.860-0.3873.24
-0.5783.25
2650.7840.550-0.1803.15
-0.3343.23
2700.4440.337-0.1513.19
-0.2223.20
3000.4320.387-0.3013.23
-0.3323.19
mean:$\\begin{array}{l}3.22 \\pm \\\\ 0.03\\end{array}$$ \\begin{array}{l}3.30\\pm\\\\ 0.03\\end{array} $
"} {"image_path": "images/8a3a7d57e501a8fda924180826c8587d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
企 业 名 称地 址主 要 产 品电话号码电报挂号
南阳水泥厂河南省南阳县蒲山水泥
新野县水泥厂河南省南阳县蒲山矿渣水泥
桐柏县水泥厂河南省桐柏县毛集公社矿渣水泥4656623055
信阳水泥厂河南省信阳市南湾矿渣水泥
信阳地区公路管理总河南省光山县马畈公社普通水泥,公路标志牌,水
段水泥厂泥预制涵管, 修路石子
固始县水泥厂河南省固始县南山头矿渣水泥, 沸石223
武汉市水泥厂湖北省武汉市青山区红钢城矿渣水泥61341
第一冶金建设公司水泥厂湖北省武汉市青山区矿渣水泥616947951
大冶县水泥厂湖北省大冶县星湖公社矿渣水泥3136
华新水泥厂湖北省黄石市硅酸盐水泥, 矿渣水泥,23013055
矿渣大坝水泥, 硅酸盐
大坝水泥和石棉水泥制
沙市市水泥厂湖北省沙市市宝塔湾1号矿渣水泥2853
襄樊市第二水泥厂湖北省襄樊市襄阳南门外矿渣水泥8261
西山水泥厂湖北省鄂城市矿渣水泥
田镇水泥厂湖北省广济县田家镇矿渣水泥
黄陂县水泥厂湖北省黄陂县矿渣水泥
孝感地区水泥厂湖北省安陆县城南矿渣水泥2558
应城县水泥厂湖北省应城县城关矿渣水泥2516
石矶头水泥厂湖北省嘉鱼县石矶头水泥
阳新县水泥厂湖北省阳新县老渡口矿渣水泥
咸宁地区水泥厂湖北省武昌县乌龙泉矿渣水泥
蒲圻县水泥厂湖北省蒲圻县矿渣水泥2258
三三〇工程局水泥厂湖北省荆门市简沟三峡牌大坝水泥,矿渣23050714
大坝水泥
江陵县水泥厂湖北省江陵县新河口矿渣水泥6803
刘家场水泥厂湖北省松滋县刘家场镇矿渣水泥3055
松滋水泥厂湖北省松滋县刘家场矿渣水泥
随县水泥厂湖北省随州市北郊水泥843
光化水泥厂湖北省老河口市洪山嘴矿渣硅酸盐水泥, 普通老河口市3136
硅酸盐水泥551
均县水泥厂湖北省均县丹江花叉沟普通水泥, 矿渣水泥
"} {"image_path": "images/3a5abba2c2b1d4f286542cbc08099e37.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n$\\tilde R~e$
0.0010.011.01050100
E = 5.0
1.043823.634382.3748.5696.9392.0971.264
1.234158.053415.8143.1846.8992.0231.223
1.424777.082477.7138.5896.7742.0081.171
1.616978.391697.8434.5476.3931.9831.073
1.811358.081135.8131.1296.0781.8131.042
"} {"image_path": "images/aa645805bdf6927544c797a1aeaba1b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
01760ANADROL
01765ANAI DS
01770ANAL BALM
01775ANALGESIC
01780ANALGESIC BALM
01785ANALGESIC COMPOUND
01790ANALGESIC EMULSION
01795ANALGESIC LINIMENT
01800ANALGESINE
01805ANALGESTINE
01810ANALGETS WAFER
01815ANALONE
01820ANAMINE
01825ANANASE
01830ANAPHEN
01835ANAPHYLATIC SHOC K DRUG KIT
01838ANAPROX
01840ANASPAZ
01845ANASPAZ-PB
01850ANATUSS
01855ANAVAR
01860ANBE SOL
01865ANCEF
01870ANCDBON
01875AND-EST SUSPENSION
01880ANDOIN
01885ANDRIOL
01890ANDRO CYP
01895ANDRO-FEM
01900ANDROID-G
01905ANDROI D-HCG
01910ANDROID-T
01915ANDROID-10
01920ANDROID-25
01925ANDROID-5 BUCCAL
01930ANDROLAN AQU EOUS
01935ANDROLONE
01940ANDROLONE D 100
01945ANDROLONE D 50
01950ANDRONAQ-50
01955ANDRONATE
01960ANDRYL 200
01965ANDURACAINE
01970ANECAL
01975A NECTINE
01980ANESTACON
01983ANESTHET IC
01985ANESTRO
01990ANEXSIA W/COOEINE
01995ANEXSIA
02000ANG-O-SP AN
02005ANGIDIL
02010ANGIO-CONRAY
02015ANHYDRON
02020ANISE OIL
02025ANISOTROPINE
02030ANISOTROPINE W/PHENOBARB
02035ANOCAINE
02040ANOOYNOS FORT E
02045ANOOYNOS-DHC
"} {"image_path": "images/8182cc106855e223498b324b4089d538.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1 9 7 5 年
上 弦下 弦
112182112023151272311150305
211131821915402260915231423
313074832104053271837350421
412004041912414260356432026
511150651818295251357531344
610025061622596240055620723
79121071603477231329720037
871958814102582203487311650
960319912190092019518300720
105112310120916102013069281947
1132105111102211119062910280608
1230850121022401218224011261452
12252253
1 9 7 6 年
11224119204011712471240705
131142128180621600442221616
31072639123931610533230256
331010848030341419494211515
429182057131851404055210522
529094865202161212156192116
627225075013071121097191430
727094083060881007448180813
82519019111369823539170121
92403559301913108125610161700
1023131010300606117071611150640
1121231211282100127021512141815
1221100912281549
"} {"image_path": "images/86b3e1faed2c354bb15163c35d0bb876.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
计数的次序十 分 频 状 态四 分 频 状 态
$C_d$$C_c$$C_b$$C_a$十进制数码译 码 与 门 的 组 合C·C$_c$译 码 与 门的 组 合
000000$\\mathbf{D_{103}\\ D_{104}\\ D_{105}\\ D_{106}}$00$D_{107} ~D_{108}$
100011$\\mathbf{D_{69}\\ D_{70}\\ D_{71}\\ D_{72}}$00
200102$\\mathbf{D_{78}\\ D_{74}\\ D_{75}\\ D_{76}}$00
300113$\\mathbf{D_{77}\\ D_{78}\\ D_{79}\\ D_{80}}$00
401004$\\mathbf{D_{81}\\ D_{82}\\ D_{83}\\ D_{84}}$00
501015$\\mathbf{D_{85}\\ D_{86}\\ D_{87}\\ D_{88}}$00
601106$\\mathbf{D_{89}\\ D_{90}\\ D_{91}}$00
701117$\\mathbf{D_{92}\\ D_{93}\\ D_{94}}$00
810008$\\mathbf{D_{95}\\ D_{96}\\ D_{97}\\ D_{98}}$00
910019$\\mathbf{D_{99}\\ D_{100}\\ D_{101}\\ D_{102}}$00
101010$\\mathbf{\\downarrow}$第10个脉冲01$\\mathbf{D_{109}\\ D_{110}}$
111011第20个脉冲10$\\mathbf{D_{111}\\ D_{112}}$
121100第30个脉冲11$\\mathbf{D_{119}\\ D_{114}}$
131101
141110
151111
"} {"image_path": "images/531ed05d3e1957068143a6e807701f5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ABCDE↓ FG
1职工工资表
2
3序号姓名基本工资工龄工资奖金优秀应得
401王一1,500.00400.00300.002,200
906陈丹1,500.00350.00260.002,110
10基本工资工龄工资奖金
11>1200>300>150
12
"} {"image_path": "images/59498d9c3b9592c12893a3092b470fc6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(km)Latitud0-0,20,2-11-22-33-44-55-66-77-88-99-1010-11En suma
$ 10^{6}km^{3} $en%
80-90 N0,030,230,701,773,882,308,910,66
70-800,351,281,202,322,777,920,59
60-700,290,761,131,550,173,900,29
50-600,320,641,323,209,945,441,650,660,2723,441,73
40-500,180,460,893,156,6814,8028,041,620,490,100,0456,454,18
30-400,170,541,483,176,3019,9849,394,860,160,090,0686,206,37
20-300,230,561,563,308,5828,6252,976,780,190,070,03102,897,61
10-200,180,602,035,5221,9437,4853,954,550,620,400,070,01127,359,41
0-100,230,381,876,7425,6566,0126,451,330,310,170,020,01129,179,55
0-10 S0,200,531,964,6723,1364,6235,970,900,330,040,00132,359,78
10-200,190,441,847,4727,8250,8135,914,290,10128,879,53
20-300,080,411,986,4928,9053,5128,440,810,220,11120,958,94
30-400,110,311,586,7031,0149,5038,440,460,130,040,010,00128,299,48
40-500.090,431,165,2229,6749,0036,580,40122,559,06
50-600,040,310,886,1422,7847,7522,870,570,240,04101,627,51
60-700,040,630,704,3014,1430,3315,230,040,003-65,414,84
70-800,030,680,300,612,102,69-6,410,47
Semiesferadel norte 1,985,4512,1830,7085,91174,63212,4519,802,040,830,220,02546,2340,39
Semiesferadel sur0,783,7410,4041,60179,55348,21213,447,471,020,230,010,00806,4559,61
En total2,769,1922,5872,32265,46522,84425,8927,273,061,060,230,021.352,68100%
En%0,200,681,675,3419,6538,6531,482,020,220,070,020,00100%100%
"} {"image_path": "images/bfe887c54d2b7fbfdce84ffc11387934.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
交 配分 娩
年份月份交配母猪数计划年月 份出 生 胎 数出 生 仔 猪 数
基本母猪检定母猪合计基本母猪检定母猪合计基本母猪检定母猪合计
去年9221222020
10772777070
1181938I980888
123474347303262
计划年13585358304070
2556554040
32357235202444
4778777070
5889888080
63310333030
73311333030
812
922全年461864460144304
1077
118311
12325
全年461864
"} {"image_path": "images/66647be3f03b33d52546ac3a61920b80.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
法租界 %中国老城区%南市 %闸北 %浦东 %总 计机构总数
2100%54
2698
26
51383112
2.75.211.810288
4 82
9
423
322425
361766
23248
101782
130812335
6.44.31.6434
6.811.48324
7.4710.52.1228
8.711.36.7194
3.713.213.25.8188
14.98.625.12.5429
9911201797
152313268
9247
101560
133868
812
4427
2342330
141010141021
33232158
517518
881724
2388
4820250
"} {"image_path": "images/eb85e143ed0757162d3be0582b1c51a3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
井号测 井 解 释分 析 化 验试油结果
井深(m)视厚(m)地电
层阻
真率
$(\\Omega \\cdot \\text{m})$
感电
 阻
应率
$(\\Omega \\cdot \\text{m})$
声速$\\Delta t$$\\mu\\text{s/m}$孔隙度(%)含饱
 和
油度
(%)
解释结果孔隙度(%)渗透率(MD)含饱
 和
油度
(%)
含饱
 和
水度
(%)
日产油(方)日产气(方)
$S_9$井2924.6-29294.47.315.428017.551油层24.91
25.78
313.33
440.91
13.27
34.87
13.34
8.86
168.43
2929.8-29388.27.110.5
6.7
27015.747.2油水同层23.46
30.27
60.58
976.85
5.92
29.24
15.53
34.74
79.7
$S_{1 5}$井2705.6-27159.48.310265
200
14.8
3.14
47油层21.53
16.59
71.02
6.09
14.79
10.32
53.38
50.45
27.93269.7
"} {"image_path": "images/5a9f1fcfea4c05da19fffd7ec68bbeab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
職 别姓 名到 任 日 期在 任 时 间
市 長孫 科10215176
吳 飛11721420
金 章111211127
林 云 孩1228……18
孫 科122261827
李 福 林13923911
市政委員長伍 朝 枢1474111
孫 科15651115
林 雲 陔16520520
甘 乃 光161110127
林 雲 陔1717
"} {"image_path": "images/b6213d983884090ebe6b20ae602fa6da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
解 释$^①$喇曼光谱$\\Delta \\nu_{\\text{真空②}}(\\text{cm}^{-1})$(液态)红外光谱$\\nu_{\\text{真空⑧}}(\\text{cm}^{-1})$(气态)解 释喇曼光谱$\\Delta \\nu_{\\text{真空②}}(\\text{cm}^{-1})$(液态)红外光谭$\\nu_{\\text{真空③}}(\\text{cm}^{-1})$(气态)
$\\nu_{16}\\left(a_{2}\\right)$?(333)$^④$$\\nu_{3}+\\nu_{21}\\left(B_{1}\\right)$1730 (w.)
$\\nu_9^c3(a_1)$375(w.)$\\nu_{20}+\\nu_{21}\\left(A_{1}\\right)$1936 (w.)
$\\nu_{20}-\\nu_{14}\\left[B_{2}\\right]$ 720(m.)Q$\\nu_{6}+\\nu_{18}\\left(B_{1}\\right)$(2640)
$\\nu_{20}\\left(b_{2}\\right)$748(s.)Q$2 v_{18}\\left(A_{1}\\right)$2725 (m.)
864 (w.)Q$\\nu_{6}+\\nu_{24}\\left(B_{2}\\right)$2761 (v.w.)
$\\nu_{g}^{C-C}\\left(a_{1}\\right)$867(s.)870 (w.)$2 \\nu,\\left(A_{1}\\right)$2872(v.w.)
$\\nu_{21}^{C-C}\\left(b_{1}\\right)$(940)⑤922 (m.)Q$\\nu_{16}^{\\mathrm{CH}}\\left(b_{1}\\right)$2885 (m.)Q
925 (m.)Q$\\nu_{3}^{\\mathrm{CH}}\\left(a_{1}\\right)$ ?2903 (s.)⑥
$\\nu_{20}\\left(b_{1}\\right)$1054 (m.)1053 (m.)Q$2 \\nu_{4}, 2 \\nu,...$ ?2920 (s.)⑥
$\\nu_{r}\\left(a_{1}\\right), v_{19}\\left(b_{1}\\right)$1152 (w.)1152 (m.)$\\nu_{2}^{\\mathrm{CH}}\\left(a_{1}\\right)$2946 (s.)2960 (m.)
$\\nu_{23},\\left(b_{2}\\right)$1179 (m.)Q$\\nu_{1}^{\\mathrm{CH}}\\left(a_{1}\\right), \\nu_{10}^{\\mathrm{CH}}\\left(a_{2}\\right)$2967(m.)
$\\nu_{12}\\left(a_{2}\\right)$1278 (w.)$\\nu_{15}^{\\mathrm{CH}}\\left(b_{1}\\right), \\nu_{22}^{\\mathrm{CH}}\\left(b_{2}\\right)$2968 (s.)Q
$\\nu_{20}+\\nu_{14}\\left(B_{2}\\right)$1338 (m.)Q$\\nu_{22}^{\\mathrm{CH}}\\left(b_{2}\\right)$2980 (m.)
$\\nu_{6}^{\\mathrm{CH}_{3}}\\left(a_{1}\\right)$1370 (m.)3190 (w.)
$\\nu_{18}^{\\mathrm{CH}_{3}}\\left(b_{1}\\right)$1375 (s.)3350 (v.w.)
$\\nu_{11}^{\\mathrm{CH}_{3}}\\left(a_{2}\\right), \\nu_{5}^{\\mathrm{CH}_{3}}\\left(a_{1}\\right)$1451 (s.)
$\\nu_{17}^{\\mathrm{CH}_{3}}\\left(b_{1}\\right)$1465 (s.)Q
$\\nu_{4}^{\\mathrm{CH}_{2}}\\left(a_{1}\\right)$1468 (s.)
$\\nu_{24}^{\\mathrm{CH}_{3}}\\left(b_{2}\\right)$1470 (v.s.)Q
"} {"image_path": "images/e12bb36be0c02b73d7099916b6cdfc0d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
文 化 程 度行 业 分 布
大专以上中专高中初中小学文盲工业交通农林水财粮贯文教卫生基本建设机关其他
9731834,714756403983139
1,0571924,742876467980151
1391,1442,8593,0761,4649822454,754845613321,078133
1191,3552,8962,8321,5871,0242334,447849811521,148225
1273201,2492,8532,8101,4921,0082234,444892840581,138248
1323651,2932,8882,7221,3909672304,350837824621,171349
1483871,3142,8852,6291,3848642454,249765847771,115585
1854201,3402,7442,5171,5978532314,214797805981,169636
1884681,3502,8962,5041,3757171914,229721781681,246808
2645651,4102,8162,4141,2887562064,034739836411,266879
3296171,5532,8572,3451,2587212014,1996628361431,352845
"} {"image_path": "images/be1282a590f133dfe87aef91de03e92e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
繭子202蛐蛐52魚鰾52海蚌兒117
239曲踡52149牛柱兒170
蜈蚣48螞蟻57魚腮52柒房舍(1) 房子
長蟲245蝎虎102魚鳞53
毒蛇37臭班班163魷魚174
#114屎坷螂4黄花魚258房子239
圪蛋11香金金253魚苗兒53屋子48
臭蟲163明火蟲兒269娃娃魚80内宅126
51螞蚱56草魚143深宅大院兒222
蠅子275螳螂242鮎魚198打夯60
蒼蠅243蝴蝶兒48大頭魚63翻瓦179
蚊子220蛛蛛41老棉魚141地基19
馬鱉57蛛蛛羅網兒41鯽魚23126
腻蟲21蝸子86帶魚1116
跟頭蟲兒224蠓蟲261鳜魚13023
蟈蟈兒95磕頭蟲兒85鯉魚22出路42
蚰子174抽兒162金魚兒229草房143
花豆娘兒79坷泡蟲12五色魚48茅草房135
鑽心蟲207撲燈蛾兒34黄鳝259瓦房80
虰虰270馬即了兒57魚鷹53院子216
鞍鞍兒190尿兒3799宅院兒113
壓摞摞兒75骨蛹46甲魚72偏院兒193
蛄魯子46子孓101王八259獨院兒37
扁擔螞蚱192肋蛄112老鱉140挎院兒78
素終兒41(4) 魚蝦類烏龜48四合院兒5
狗豆子166螃蟹238院牆216
狗支煞166釣魚151蟹黄103空間281
牛虻168魚飄兒52馬蝦57堂屋242
蜂兒261魚漂兒52蝦子74上房247
蜜蜂兒17魚網53蝦米74廳堂271
土蜂38釣魚竿兒15174客廳115
馬蜂57魚蟲兒53蛤蟆12房東239
蜂窩26126癞肚子蛤蟆113113147
天牛郎196魚子兒52蛤蟆圪丁兒1212275
吊死鬼兒150魚刺52泥鳅21照背兒牆144
"} {"image_path": "images/cd85f8751189ab23f3e169165ee446b4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
58\"奉和韋嗣立山莊侍宴應制5/20韋嗣立
58\"和杜學士旅次淮口阻風5/12杜審言
58\"奉和杜員外扈從教閱5/20杜審言
58\"奉和聖製幸韋嗣立山莊應制7/4韋嗣立
62杜審言奉和七夕兩儀殿應制5/8中宗
62\"和韋承慶過義陽公主山池五首尤陽麻微支均 5/8韋承慶
62\"和晉陵陸丞早春遊望(一作韋應物詩)5/8
62\"和康五庭芝望月有懷5/8康庭芝詠月5/8
62\"和李大夫嗣真奉使存撫河東5/80李嗣真
64姚崇奉和聖製夏日遊石淙山7/8武則天石淙
64\"奉和聖製龍池篇7/8玄宗
64宋璟奉和禦製璟與張說源乾曜同日上官命都堂賜詩應制5/163玄宗左丞相說右丞相璟太子少傅乾曜同日上官命宴東堂賜詩5/16
64奉和聖製張說巡邊5/203玄宗送張說巡邊5/20
64\"奉和聖製同二相已下群官樂遊園宴5/123玄宗同二相已下群官樂遊園宴5/12
64\"奉和聖製答張說扈從南出雀鼠谷5/12玄宗南出雀鼠谷答張說5/12
65蘇味道奉和受圖溫洛應制5/10
65和武三思於天中寺尋復禮上人之作5/20武三思秋日於天中寺尋復禮上人5/20
66郭震同徐員外除太子舍人寓直之作5/12
67賈曾奉和春日出苑瞩目應令7/8
"} {"image_path": "images/a1e4355e6a1b4ced0642c977a345be28.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
爐渣中沒有MgO爐渣中含有 5% MgO爐渣中含有 10% MgO
$SiO_2$( % )$AI_2O_3$( % )CaO( % )相對去硫能力$SiO_2$( % )$AI_2O_3$( % )CaO( % )相對去硫能力$SiO_2$( % )$AI_2O_3$( % )CaO( % )相對去硫能力
505-451.6506391.5505351.5
15350.6
465493.8466433.2465393.0
15850.814351.39351.9
445516.0446454.0445413.5
21350.811852.1
425536.7426475.5425434.3
23351.118351.713352.3
405559.6406498.8405456.9
25351.020351.615352.5
3853865117.03854711.5
7557.584910.074510.6
25371.722351.817353.1
36366538.53654920.0
785118.574716.0
9553.2104913.194512.0
115313.212479.811438.5
25392.424352.419353.0
347346553.43474926.0
9105119.094728.0
11553.8124914.0114515.0
13535.9144711.1134310.0
155112.216457.415417.7
25413.324373.021353.7
321132125113.032114737.0
13551.4144916.0134524.0
15532.4164711.4154312.0
175113.718459.217419.1
25433.324393.923354.2
3021496.230164923.03011498.4
"} {"image_path": "images/e9ebf783f7cbea8fd82f8f231102c997.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号
$$d_{0}$$
计 算 直 径
(毫米)
尺 寸 及 允 许 偏 差 (毫米)截面的计 算面 积$\\text{(厘米}^2\\text{)}$理论重量(公斤/米)
内 径 d外 径 $$d_{1}$$螺纹筋高 h纵筋高 $$h_{1}$$间 距 l纵筋宽 a螺纹筋宽 br
标准尺寸允许偏差标准尺寸允许偏差标准尺寸允许偏差标准尺寸允许偏差标准尺寸允许偏差标准尺寸允许偏差标准尺寸允许 偏差
87.5±0.49.0+1.3
-1.0
0.75+0.5
-0.25
0.75+0.5
-0.25
5±0.51.25±0.50.75+0.5
-0.25
1.10.50270.395
109.311.3+2.5
-1.5
1.00+1.0
-0.5
1.00+1.0
-0.5
71.50±1.01.00+0.7
-0.3
1.50.78540.617
121113.01.001.0072.001.001.91.1310.888
141315.51.251.2572.001.001.91.5391.21
161517.51.251.2582.001.0+1.0
-0.5
2.22.0111.58
181720.01.501.5082.001.52.22.5452.00
2019±0.4522.01.501.5082.001.52.23.1422.47
222124.01.501.5082.001.52.23.8012.98
252427.01.501.5082.001.52.24.913.85
2826.5±0.5530.5+3.5
-2.2
2.0+1.5
-0.75
2.0+1.5
-0.75
92.5±1.51.53.06.1584.83
3230.534.52.02.0103.02.03.08.0426.31
3634.539.52.52.5123.02.03.510.187.99
4038.543.52.52.5123.02.03.512.579.87
"} {"image_path": "images/a8e6d00cf61eea6b2d56e3e8f404de18.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
D I A T O M I T EP E R L I T E
Cellu-Aid1Cellu-Aid2Cellu-Aid3BP-3-3BP-3-5BP-5BP-1Bulk-Aid2Bulk-Aid3
Brightness, G.E. (range)75-7873-7672-7571-7456·6575-7789-9282-8582-85
Refractive Index1.461.461.461.461.461.461.461.491.49
Specific Gravity, Gr/cc1.981.981.982.002.002.002.352.342.34
Avg. Apparent Bulk DensitiesDry Loose Weight,Lbs/cu. ft.7.58.08.07.57.57.08.055
Dry Tamped Weight,Lbs/cu. ft.16.519.822.024.021.021.022.01416
In Paper, Lbs/cu. ft.(approx.)292927272327251515
In Paper, Lbs/1000sq. ft./point2.422.422.252.251.922.252.081.251.25
Max. Retention, 325 MeshScreen — %...........3.010.03.08.0.........
Max. Retention, 400 MeshScreen - %0.250.82.0........................
Avg. Particle Diameter,Microns0.750.901.23.23.53.13.44.16.3
Avg. Particle Size Distribution— in Microns (A.S.T.M.Method D-422-39)
Plus 20%Trace0.51.05.08.58.03.51.04.0
10-20%0.52.03.08.09.57.57.56.017.0
6-10%1.53.55.514.010.010.514.015.029.0
2-6%20.022.024.538.544.040.557.068.046.0
·2%78.072.066.034.528.033.518.010.04.0
Moisture, Maximum %6.06.06.06.06.06.00.50.50.5
Ignition Loss, $\\% @ 1700^{\\circ} \\mathrm{F}$.5.05.05.05.05.05.00.51.51.5
Surface Area, Air Perm.(A.S.T.M. MethodC 204·55) Sq. m/gram5.95.64.73.53.03.51.52.32.0
"} {"image_path": "images/2db196864e78da8118e07c650509c5c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
织物规格及技术条件织 物组 织1/11/11/11/11/11/11/11/11/11/1
重 平1/11/1
幅 宽 (厘米)96.5296.596.596.59996.5119.496.5111.891.44
匹 长 (米)29码116116码27.226.752739码35.6690
总 经 根 数3808380037983808518750526252505252204278
其 中 边 纱 数 81288
密 度(根 / 10公分)393.5393.5303.5393.5523.5523.5523.5523.5464.5441
236236236236283283283283244283.5
斷裂强度$\\left( \\frac{\\text{公斤力}}{5 \\times 20 \\text{厘米}} \\right)$57575757585858584836
23 222222282828282224.5
$ 1米^{2}无浆干重(克) $110.8110.8110.8110.8116.9116.4116.4116.4101.8
织 物紫 度(%)64.3973.873.873.865.462.1
33.333.939.939.934.459.9
76.284.384.38 .384.377.377.2
缩 率(%)99.949.4411.512.5411.0411.6911.93118
4.14.12 4.4642.613.532.8932.554
疵点格率 (%)5055505050<5050
成布回潮率(%)<9.5
"} {"image_path": "images/c2c6843e6fb7c0fb1bc269b5ec31a87e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
合金牌号状态板材厚度 /mm$R_{\\mathrm{m}} / \\mathrm{MPa}$$R_{\\mathrm{P} 0 2} / \\mathrm{MPa}$$ A_{11.3} / \\% $
M2M退火0.8~3.01851106
6.0~10.0165905
AZ40M退火0.8~3.023513012
3.5~10.022512012
AZ41M退火0.8~3.024514512
6.0~10.023514010
ME20M 退火
冷加工后有一定的退火
0.8~3.022512012
6.0~10.021511010
0.8~3.02451558
$6.0 \\sim 10.0$2351406
"} {"image_path": "images/5fb90a9534d559b08cc696156b47d30d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DatasetsMethodsMetrics NaïveMethodANNARIMAZhang'sMethod K-B'sMethod B-R'sMethodProposedMethod
SunspotMAE22.96 14.23$\\pm 0.40$13.3713.14$\\pm 0.34$10.62$\\pm 0.26$11.39$\\pm 0.22$10.48$\\pm 0.27$
MSE920.73 353.12$\\pm 24.26$306.97289.31$\\pm 23.01$205.08 $\\pm 15.06$239.90$\\pm 22.89$194.29$\\pm 13.36$
MASE1.01$ \\begin{array}{r}{{0.62}}\\\\{{\\pm{0.01}}}\\end{array} $0.59$ \\begin{array}{c}0.58\\\\ \\pm 0.01\\end{array} $0.47 $\\pm 0.01$ 0.50$\\pm 0.01$$ \\begin{array}{c}\\mathbf{0 . 4 6}\\\\\\pm 0.01\\end{array} $
LynxMAE0.2308$ \\begin{array}{r}{0.1249}\\\\{\\pm 0.0029}\\end{array} $0.1198$ \\begin{array}{c}0.1003\\\\ \\pm 0.0023\\end{array} $0.1025 $\\pm 0.0025$ $0.1102$$±0.0028$0.1013$\\pm$ 0.0031
MSE0.0687$ \\begin{array}{c}0.0241 \\\\ \\pm 0.0019 \\end{array} $0.0231$ \\begin{array}{c}0.0173\\\\ \\pm 0.0016\\end{array} $$ \\begin{array}{c}0.0175\\\\ \\pm 0.0016\\end{array} $$ \\begin{array}{c}\\text { 0.0189 } \\\\ \\pm 0.0019\\end{array} $0.0162$\\pm 0.0018$
MASE1.1425$ \\begin{array}{c}0.6185\\\\ \\pm 0.0144\\end{array} $0.59320.4966$ \\pm 0.0113 $$ \\begin{array}{c}0.50757\\\\ \\pm 0.0127\\end{array} $$ \\begin{array}{c}{0.5457}\\\\{\\pm 0.0138}\\end{array} $$ \\begin{array}{c}0.5016\\\\ \\pm 0.0157\\end{array} $
Gbp/UsdMAE512.41$ \\begin{array}{c}428.55\\\\ \\pm 60.45\\end{array} $435.72429.52$\\pm 48.54$406.22 $\\pm 24.65$436.34$\\pm 36.87$404.90$\\pm 23.43$
MSE3.97 3.47$\\pm 0.37$3.52 3.45±0.30$ \\pm 0.22 $ 3.50$\\pm 0.33$ 2.95$\\pm 0.26$
MASE1.297 1.085$\\pm 0.153$1.103 1.087$\\pm 0.122$1.028 $\\pm 0.062$ 1.104$\\pm 0.145$1.025$\\pm 0.059$
IntradayMAE21.54 20.10$\\pm 1.242$20.22 19.16$\\pm 0.925$19.79 $\\pm 1.708$ 19.50$\\pm 0.981$18.81$\\pm 0.972$
MSE797.03$ \\begin{array}{c}617.46\\\\\\pm37.17\\end{array} $652.72$ \\begin{array}{c}\\\\ 594.09\\\\ \\pm27.10\\end{array} $600.93 $\\pm 46.75$619.67$\\pm 37.07$581.38$\\pm 34.77$
MASE1.12 1.04$\\pm 0.06$1.05$ \\begin{array}{c}{0.99}\\\\{\\pm 0.04}\\end{array} $1.03 $\\pm 0.08$ 1.01$\\pm 0.05$0.98$\\pm 0.05$
"} {"image_path": "images/f094df23a1fab9857106e649a00bc414.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
模 态阶 数5% 10%20%
频率(Hz)误差(%) 阻尼(%)误差(%)频率(Hz)误差(%)阻尼(%)误差(%)频率(Hz)误差(%)阻尼(%)误差(%)
无滤波33.312 0.91.343234 33.3971.21.70537133.5401.61.628563
33.7820.40.4571-5534.0561.20.2912-8134.4592.30.2112-79
35.1550.051.0323335.2480.30.9315-735.47210.595641
小 波滤 波32.999-0.030.9784-233.213-0.61.0011-0.133.2960.80.98536-2
33.657-0.011.0380433.8190.50.7765-2334.0711.20.70455-31
35.1410.0030.99270.735.124-0.051.06546.535.101-0.111.058325.8
"} {"image_path": "images/2d7047d22559f3c3eafa3663830d681f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
枝 桂 药名
竹皮大丸竹叶汤桂枝茯苓丸蜘蛛散(黄芩汤)茯苓泽泻汤茵陈五苓散桂枝去芍加麻辛附汤桂枝加黄芪汤黄芪芍药桂枝苦酒汤防己茯苓汤方名
一分一两半两一两二两二分三两二两三两三两药量
去皮炮制
二四五二四四二三四二三二(附)二二三二一六二#七二#二二#一二##一九七方号
"} {"image_path": "images/04ce9605048397b8da9943cad69a6f95.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机 型L. 300 L. 301
发动机制造厂家,型号普拉特·惠特尼JT3D-5 A普拉特·惠特尼JT3D-5 A
台数 起飞推力(公斤/傅分)$ 4 \\times 9,525 / - $$4 \\times 9,525/-$
最大翻修时限(小时)
燃料规格JP-4, JP-5JP-4, JP 5
容量(升)87,26487,2 4
滑油规格
容量(升)
附 注 渦輪風扇式,有反推力装置 渦輪風扇式,有反推力装置
"} {"image_path": "images/041460756d2c80b00f12f0430fec8135.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Np0123456789
0-8.68617.37226.05834.74443.43052.11660.80269.48878.174
1086.86095.546104.232112.918121.604130.290138.976147.662156.348165.034
20173.720182.406191.092199.778208.464217.150225.836234.522243.208251.894
30260.580269.266277.952286.638295.324304.010312.696321.382330.068338.754
40347.440356.126364.812373.498382.184390.870399.556408.242416.928425.614
50434.300442.986451.672460.358469.044477.730486.416495.102503.788512.474
60521.160529.846538.532547.218555.904564.590573.276581.962590.648599.334
70608.020616.706625.392634.078642.764651.450660.136668.822677.508686.194
80694.880703.566712.252720.938729.624738.310746.996755.682764.368773.054
90781.740790.426799.112807.798816.484825.170833.856842.542851.228859.914
"} {"image_path": "images/257e2f1600112d79b56adbf164eda183.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ENGINEDRAIN HOT ENGINE AND WIPE OFF DRAIN PLUG REPLACE1503006001200
ENGINE OIL FULL-FLOW FILTER, CLARK # 947293 & O RING CUMMINS 164159
LUBRICATION OIL FILTER, FLEETGUARD # LF516 & RINGSEAL CUMMINS 173368
REFILL ENGINE, 11 GALLONS, MOBIL 20W40
AIR CLEANER HOUSING AND INLET SCREEN- CLEAN
AIR CLEANER-OUTER FILTER,WIX\\#42422 CHANGE
AIR CLEANER - INNER FILTER, WIX # 42423 CHANGE
FUEL FILTERS, CLARK # 949095 (2) CHANGE
CRANKCASE BREATHER,CUMMINS # 255183· CLEAN/CHANGE
CORROSION RESISTOR, FLEETGUARD # WF2010 CHANGE
CHECK ENGINE RPM: LOW IDLE, HIGH IDLE, STALL
THROTTLE LINKAGE ADJUST
FUEL TANK, DRAIN SEDIMENT
HYDRAULICSHYDRAULIC FLUID LEVELS, CHECK ADD MOBIL ETNA 26
HYDRAULIC TANK SUCTION SCREENS (2) CLEAN/IF DAMAGED REPLACE CLARK # 1532445
HYDRAULIC PRESSURE FILTER AND GASKET, WIX # 51425 (4) CHANGE
HYDRAULIC SYSTEM CHECK FOR LEAKS
CYLINDER RODS-CLEAN AS REQUIRED
ADJUST BUCKET LEVELER
CHECK AND ADJUST MAIN HYDRAULIC PUMP
ADJUST BOOM AND BUCKET CONTROL LEVERS
TRANSMISSIONS &TORQUE CONVERSIONSTRANSMISSION FLUID LEVEL - CHECK, ADD MOBIL AFT 220
TRANSMISSION BREATHER CLEAN/REPLACE CLARK # 233598
TORQUE CONVERTOR BREATHER CLEAN/REPLACE CLARK # 233598
TRANSMISSION& TORQUE FILTERS, WIX # 51136 (2) CHANGE
ADJUST TRANSMISSION SHIFT LEVER LINKAGE
CHECK TRANSMISSION DE-CLUTCH VALVE
CHECK CONVERTOR INTERNAL PRESSURE
CHECK TRANSMISSION CLUTCH LUBRICATION AND OIL COOLER PRESSURE
CLEAN CONVERTOR LINE STRAINER
AXLES,DIFFERENTIALS,DRIVESFRONT AXLE DIFF. OIL LEVEL - CHECK AND ADD MOBILGEAR # 632
FRONT AXLE PLANETARY HUB OIL LEVEL · CHECK AND ADD MOBILGEAR # 632
REAR AXLE DIFF. OIL LEVEL · CHECK AND ADD MOBILGEAR # 632
REAR AXLE PLANETARY HUBS OIL LEVEL · CHECK AND ADD MOBILGEAR # 632
MIDMOUNT BEARING OIL LEVEL CHECK, ADD MOBIL 20W40
LUBRICATE PROSHAFT FROM MIDMOUNT BEARINGS ADD MOBILUX 12
MIDMOUNT BREATHER - CLEAN/REPLACE CLARK # 211433
DIFFERENTIAL BREATHERS, FRT & PR -- CLEAN/REPLACE CLARK # 12124
MOUNTING BOLTS, AXLES AND PROP SHAFT TIGHTEN
MIDMOUNT BEARING - DRAIN AND REFILL, 2 QUARTS MOBIL 20W40
WHEEL NUTS TIGHTEN AND INSPECT RIMS
FRONT & REAR DIFFS. - DRAIN AND REFILL 6.2 GALS. - MOBILGEAR # 632
FRONT AXLE PLANETARY HUBS - DRAIN AND REFILL 1.7 GALS. MOBILGEAR # 632
REAR AXLE PLANETARY HUBS · DRAIN AND REFILL 1.7 GALS. · MOBILGEAR # 632
LUBESEE LUBE CHART -- 50 HOURS
SEE LUBE CHART · 100 HOURS
SEE LUBE CHART · 250 HOURS
SEE LUBE CHART 500 HOURS
MISCELLANEOUSINSPECTIONSRADIATOR AND COOLER - CLEANLINESS, COOLANT AND HOSES
RADIATOR CLEAN, WASH WITH WATER AIR DRY
V-BELT-WEAR AND TENSION
INSTRUMENTATION OPE RATION
BATTERY, ANCHOR, FLUID, CABLES, CONNECTIONS & CLEANLINESS
BLEED AIR TANK
LOOSE WIRING TIGHTEN CONNECTIONS
TIRES: FRONT: 45 PSI, REAR. 45 PSI
CHECK UNIVERSAL JOINTS- TIGHTEN BOLTS
CLEAN UNIT
TEST RUN
"} {"image_path": "images/84a6164241c17e6d4c416a50d90de42e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月 別兩 岸 航 線
合 計入 境出 境
飛行架次(次)座位總數(位)載客人數(人)載客率(%)飛行架次(次)座位總數(位)載客人數(人)載客率(%)飛行架次(次)座位總數(位)載客人數(人)載客率(%)
總 計8414,12611,41780.8427,0645,73281.1427,0625,68580.5
1 月------------
2月------------
3月------------
4月------------
5月11706035.311706035.3----
6月81,35682560.8467847269.6467835352.1
7月142,3521,74174.071,17690877.271,17683370.8
8月183,0242,73390.491,5121,30486.291,5121,42994.5
9月162,6882,34087.181,3441,23291.781,3441,10882.4
10月91,5121,26783.8467255081.8584071785.4
11月101,6801,45286.4584072185.8584073187.0
12月81,34499974.3467248572.2467251476.5
"} {"image_path": "images/71f45e097c052293e7ea61bcbc328735.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
體 重(kg)體溫(C)血色素量(%)赤血球總 數(萬)白血球總 數偽[x]嗜好白 血 球淋 巴 球 [x]嗜 好白血球鹽 基嗜 好白血球 單核球及其 他
分業狀桿 状
手 術 直 前2.76039.0°88.88518.07526.02.067.500.51.52.5
手 術 後 30 分-35.5°86.410307.05048.03.545.00.50.51.01.5
手術後2時間(振盪直前)-36.7°92.493410.35074.07.016.01.500.51.0
振 盪 直 後--104.0116216.72571.05.519.50.501.02.5
振盪15分間後---109014.275-------
振盪30分間後--92.0108214.30065.03.526.02.002.56.0
振盪1時間後--93.210807.65051.57.034.52.001.53.5
振盪2時間後--92.8108611.57561.08.026.50.501.53.0
振盪4時間後--104.010925.20055.04.533.01.002.54.0
振盪6時間後-38.1°92.410988.82567.56.521.51.500.52.5
振盪24時間後2.74038.7°90.496014.42574.54.015.51.002.03.0
振盪48時間後2.72038.8°96.07927.77556.52.530.01.003.56.5
振盈第 5 日 目2.67039.5°91.29549.20075.54.013.01.002.54.0
"} {"image_path": "images/0df7bb152d319ae12412edcb1f5cbe41.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Drug ClassGUInIOncoResp
p-value (Model)0.00000000.00031200.00000000.0000000
# of sample122622828
Statistical coeff.Bp-valueBp-valueBp-valueBp-value
Constant-13.7812550.379870019.2515670.226874073.6564980.000000037.029340.0000000
Indep, Var.
PDELR0.7409590.0258880-1.644673 0.01271000.6195890.0096870-0.4605220.0012580
PDELEAR8.9257650.0017840-1.309108-0.5391620.00553800.03357601.4734020.0005760
RNDLR0.0453570.00529200.0320990.0000000
SALESLR-0.0014440.0054320-0.0038340.0000000
RNDLE0.1512480.00001900.1249380.0000000
SALESLE-0.0189310.0000870-0.0166610.0000000
"} {"image_path": "images/c00d3502e16588da761e18407359cfab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NameQty.Total qty.Price[EUR/m-h]Value [EUR]
Mixing pump 1.1-3.3 $m^3$/h (1)m-h13.576.6890.65
Dragged soil cutter (set)m-h2.771.955.40
Dropside truck up to 5 t (1)m-h4.1813.7557.48
Vibratory foot rammer 66-78 kgm-h32.842.5383.09
Passenger-cargo hoist 1.0 tm-h100.323.73374.19
Portable window crane 0.15 tm-h5.641.126.31
SUM617.12
"} {"image_path": "images/4d94992e0a43b7d28ea156dfac68d556.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ORDER DUE DATE: 7/31
LEAD TIME
HOURSDAYS
RS&RS&R
44.51
811.01
46.01
89.02
"} {"image_path": "images/f4483f6afb00fafc4ef7ac8ccad7f993.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IndicatorGood suitableFair suitableSuitablePoor suitableNot suitable
Criterion levelIndex level
Water sourceDensity of lakes>0.60.4-0.60.25-0.40.1-0.250-0.1
Density of rivers>0.40.3-0.40.2-0.30.1-0.20-0.1
Density of roads0-0.10.1-0.150.15-0.30.3-0.5>0.5
Human disturbanceDensity of residences0-0.150.15-0.250.25-0.30.3-0.4>0.4
Shelter conditionLand coverWood-landGrass-landWet-landCrop-landWater-bodyBarren- landBuild-up land
Slope0-55-1010-1515-20>20
Food abundanceNDVI0.8-10.5-0.80.3-0.50-0.3$\\leq 0$
"} {"image_path": "images/0ca1c484fe1114cb2d63d5cc0270968b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HRS
Mileage
IntervalOne HalfInterval # OEMInterval OEMInterval OEMInterval OEMInterval OEMInterval OEMInterval OEMInterval OEMInterval OEMInterval
Oil AnalysisSampleYES*Yes*Yes*Yes*Yes*Yes*Yes*Yes*Yes*Yes*
puraDYN OilFiltrationFilterChangeChangeChangeChangeChangeChangeChangeChangeChangeChange
Full FlowFilterChangeSuggest Change Every 12 Months or 60,000 Miles, or 1,500 hours or whichever comes first;50,000 miles for Model TF8SP and recreational vehicles.
Oil ChangeNo Oil Change Required Unless Specified In Oil Analysis Report
"} {"image_path": "images/bda7039d6f9493effd7868290be08fda.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
常数人民币日元美元欧元新元澳元$\\mathrm{R}^{2} / \\mathrm{D}-\\mathrm{W}$
2005-2007 年 0.0000
(0.0002)
$0.5737^{***}$
(0.0594)
0.0322
(0.0470)
0.13/2.83
0.0001
(0.0002)
0.2151
(0.2258)
0.0250
(0.0471)
0.3828$^*$
(0.2326)
0.13/2.83
0.0001
(0.0002)
0.2369
(0.2247)
0.0081
(0.0470)
0.2432
(0.2343)
0.5933$^{***}$
(0.1773)
-0.0888
(0.0641)
0.1779$^*$
(0.0941)
0.15 / 2.85
2007—2009年 -0.0001
(0.0001)
$0.6291^{***}$
(0.0267)
-0.1415$^{***}$
(0.0205)
0.44 / 2.21
-0.0001
(0.0001)
$0.2149^*$
(0.1481)
-0.1462$^{***}$
(0.0205)
0.4090$^{***}$
(0.1439)
0.45/2.21
0.0001
(0.0001)
-0.0333
(0.1352)
-0.0176
(0.0225)
0.4691$^{***}$
(0.1302)
0.4464$^{***}$
(0.0531)
0.0305
(0.0277)
0.0233
(0.0284)
2009-2011年 0.0001
(0.0001)
$0.6967^{***}$
(0.0331)
-0.0189
(0.0237)
0.42/2.36
0.0001
(0.0001)
$0.3393^{***}$
(0.1235)
-0.0308
(0.0239)
0.3710$^{***}$
(0.1236)
0.43/2.35
0.0001
(0.0001)
$0.1650^*$
(0.1096)
$0.0341^*$
(0.0216)
0.3379$^{***}$
(0.1090)
0.2150$^{***}$
(0.0365)
-0.0081
(0.0331)
0.2446$^{***}$
(0.0357)
0.56/2.56
2011-2013年 -0.0000
(0.0001)
$0.7556^{***}$
(0.0346)
0.0245
(0.0279)
0.65/1.94
0.0000
(0.0001)
0.5760$^{***}$
(0.1048)
0.0143
(0.0284)
0.1909$^*$
(0.1051)
0.66/1.89
0.0000
(0.0001)
0.1807$^*$
(0.0960)
0.0026
(0.0247)
0.2964$^{***}$
(0.0928)
0.3075$^{***}$
(0.0450)
0.0265
(0.0478)
0.1465$^{***}$
(0.0520)
0.74/2.24
"} {"image_path": "images/1abc70ba3301793fabee6f65a5e6e60c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SK 29, 30 ,31 及粘土 2 種
所要時間 (min)VA
010
2035
204010
204513
2050 20
206027
10\"28 SK 29 倒る
5\" ” 30 \"
5\" ” 31 \"
"} {"image_path": "images/c18a2b94bb9cffa50498a9a4cfb122af.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nominal spiked concentration of PCB153Recovered concentrations
Day 0Day 10Day 28
Control0.1 (±0.1)0.5 (±0.5)0.3 (±0.2)
40 ng/g42.4 (±9.2)35 (±3.9)48.6 (±1.75)
75 ng/g86.9 (±11.4)98.1 (±3.4)88.8 (±2.13)
125 ng/g137.1(±11.5)138.5 (±6.1)137.9 (±5.4)
225 ng/g219.55(±33.5)234.9(±17.9)234.9(±17.9)
400 ng/g405.25(±22.3)405.8(±18.6)401.7(±22.5)
"} {"image_path": "images/f78b05a3183ff112a10b739c8776bf71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AgeWhat happened to Mandy Moore
6
9 or 10
"} {"image_path": "images/c6d2fdc8f2d5cc3751559832b3ce20f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
课程类型课程性质序号课程编号课程名称学分总学时学时分配学期周学时数分配学期考核备注
理论实践第一学年第二学年第三学年
1(20/15) 2(20/17) 3(20/17) 4(20/16) 5(20/10) 6(20/0)考试考查
公共基础课程公共基础必修课程10003001思想道德修养与法律基础348301834-19 周
20004002毛泽东思想和中国特色社会主义理论体系概论464402442-17 周
30001003形势与政策13216168*18*18*18*1讲座1-5 学期开设
40003004入学教育及军事技能训练312816112集中训练集中实践 3 周(入学教育 1 学分,军事技能训练 2 学分)
50002005军事理论2363602面授+网课
60007006 Ⅰ -Ⅳ体育(含球类、形体训练等)711420942222第四学期限选开设 8 周
70002007大学生心理健康教育2323022面授+网课
80001008职业生涯规划116160网课
90002009大学生就业指导23220122网课面授+网课
"} {"image_path": "images/efbcf749b0ceb81bee037d0e7d3b0ccd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(표5-40) 광주군 위성도시 건설협의회 회의 일정 및 참석자
구분제1차 회의제2차 회의
일시1969.5.30-6.2(4일간)1969.6.12
장소내무부 회의실 및 청와대국무총리 비서실
청와대 지방행정국장국무총리실 정무비서관
국무총리실 예산담당비서관서울시 도시계획국장
내무부 지방국장보사부 사회국장
교통부 육운국장경기도 내무국장
보사부 보건국장철도청 경리국장
철도청 경리국장내무부 행정국장
참석자서울시 제1부시장문교부 행정과장
경기도 내무국장경기도 광주군수
경기도 교육위원회 문정과장
"} {"image_path": "images/1ec82e1a6f8fe2b042ded5e4e5b4056d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n\n\n\n\n\n\n\n\n\n
CharacteristicN (%)
80.9 (14.6)
WRAML verbal index scoreN = 231
58.6 (11.8)
Fluency scoreN = 241
18.1 (4.9)
Philippine nonverbal intelligence testN = 241
28.3 (7.4)
Hemoglobin (g/dl)N = 241
12.0 (1.6)
"} {"image_path": "images/fd27ed1b1d10df30026a63b94b576ccc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TetRTetR + Tc
c(mg·$\\mathrm{mL}^{-1})$$\\Delta H_{\\text {cal }}$(kJ·${mol}^{-1}$)$ \\Delta H_{\\mathrm{cal}} / \\Delta H_{\\nu \\mathrm{H}} $c(mg·$\\mathrm{mL}^{-1}$)$\\Delta H_{\\text {cal }}$(kJ·${mol}^{-1}$)$ \\Delta H_{\\mathrm{cal}} / \\Delta H_{\\nu \\mathrm{H}} $
Mean $(\\pm \\mathrm{SD})$0.40397.840.590.30954.400.89
0.60411.540.550.401058.140.92
0.90502.760.680.501230.56 1.08
1.50517.590.711.001031.910.88
2.00520.230.762.001134.111.03
3.00515.790.572.801025.800.91
4.00527.980.583.401080.940.89
--4.00976.981.03-
--4.00988.801.13-
-484.82 (55.39) 0.64 (0.08)-1053.53 (86.40)0.97 (0.10)
"} {"image_path": "images/9c37b2956f6d4a763a88e5501b7a2073.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HarrisJackson
5/1511/13434.212.91
5/2611/30264.382.255/2311/13251.651.50
5/2211/262614.313.54/2310/4235.174.47
5/2311/13225.324.97
6/138/3173.753.75
5/168/21122.201.80
"} {"image_path": "images/ff730ab2d628752a2e3d37ab0850057f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
InvestigatorParameters
NW*(m)H(m)L(m)l(m)Fr
Kemeny et al.⁵) (1981)20.830.766.762.85111.0
10.830.764.142.8527.70
van der Heiden et al.¹²) (1986)20.901.208.002.505.25
or 3.68
Knoepke et al.¹⁰) (1986)Twin caster0.530.675.331.6829.00
& 2.07
He et al.²³) (1987)20.320.272.641.205.63
or 0.34
Ilegbusi et al.¹⁴) (1988)20.901.208.003.124.00
Lee et al.¹⁶) (1990)10.280.331.331.085.25
Chakraborti et al.¹⁹) (1991)10.340.401.351.250.99, 3.98
or
15.93
Xintian et al.²⁰) (1992)10.230.300.810.654.80
Yeh et al.²¹) (1992)20.760.906.743.0011.12
Present study10.07–0.310.12–0.341.00.68–0.880.74–40.77
"} {"image_path": "images/2e3b62d09978bed00580dfd7a3e10a9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Density
[kg·m⁻³]
Flow index
[-]
Consistency index
[Pa·sⁿ]
Surface tension ×10³
[N·m⁻¹]
Water9921.00.0008970.5
+SAG10 25 ppm9911.00.0009261.5
100 ppm9911.00.0009746.4
200 ppm9901.00.0010143.2
25 ppm+Tween 20 25 ppm9911.00.0009945.0
+AF72 200 ppm9911.00.0009647.2
CMC-19920.7950.021469.5
+SAG10 200 ppm9910.8100.020550.8
+Dow Corning 1520 200 ppm9920.8130.020049.6
CMC-29910.6940.11869.0
+SAG10 25 ppm9920.6800.14361.9
100 ppm9920.7050.12054.5
200 ppm9920.7000.12053.4
25 ppm+Tween 20 25 ppm9920.7130.13052.5
+AF72 200 ppm9920.7160.094052.4
CMC-39940.5731.1867.2
+SAG10 200 ppm9930.5651.1954.3
Carbopol+Dow Corning 1520 200 ppm9920.8160.028239.2
HEC+SAG10 200 ppm9910.8300.026251.4
"} {"image_path": "images/0b5c15dd1b14e3bea6da1027a8a35ddc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Recorded Data LP ModelCalculatedRunoff, $\\mathrm{ft}^3 / \\mathrm{s}$ GRG2Objective (12)CalculatedRunoff, $\\mathrm{ft}^3 / \\mathrm{s}$ LSGRGObjective (12)CalculatedRunoff,ft³/s GRG2Objective (13)CalculatedRunoff,ft³/s
Time, hr ObservedRunoff, $\\mathrm{ft}^3 / \\mathrm{s}$
18450.40.00.40.41.67
19153.026.43.03.04.28
194512.513.412.512.513.7
201562.09.362.062.063.3
2045466.0441.0466.0466.0467.3
21151750.01860.31750.01750.01751.2
2145985.0985.0985.0985.0986.5
2215647.3647.3647.0647.0648.2
2245330.0330.0330.0330.0331.4
2315216.0216.0216.0216.0217.0
234597.097.097.097.098.3
001552.052.052.052.053.0
114543.043.043.043.044.0
011533.833.833.833.836.2
014524.624.640.031.329.8
021519.60.012.3519.66.5
024518.80.03.83.02.8
031517.90.00.90.70.6
"} {"image_path": "images/3c4b5aa2c3d809b23cf2485ce76bb275.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n
CompoundFormChemical shift (Hz)*
Aryl$N(CH_{3})_{2}$$CHCH_{3}$$COCH_{2}CH_{3}$
$1\\dagger $Base$439\\ddagger$127$29(J = 6.5)$§$50(J=7.0)$
HC1$446\\ddagger$$165(J=5-5.5)$$|| $$42(J = 6.5)$$50(J = 7.0)$
7 (n=2)Base$424\\dagger $108$34(J=6.4)$¶$46(J=7.1)$
HCI424**($W_{H}$=6)$144(J=5.0)\\dagger \\dagger $$52.5(J\\approx6.0)\\ddagger\\ddagger$$49(J\\approx7.0)\\ddagger\\ddagger$
7 (n=3)Base$434**(w_{\\mathrm{H}}=6)\\S\\S$ 120$34(J\\approx 5)$¶¶$49(J = 7.3)$
$418**(w_{H}=20)\\left \\| \\right \\| $
HCI$434**(w_{\\mathrm{H}}=7)\\S\\S$ $160(J = 5.0)^{a}$$35(J =6.6)$$47(J=7.2)$
$398**(w_{H}=10)\\left \\| \\right \\| $
"} {"image_path": "images/45210c2b702cd697690880de26c5192e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table I. A comparison between present method results and those obtained by [9] of $F^{\\prime \\prime}(0)$ for various values of/when n=2.
INumerical [9]Present methods
Relaxation methodNorm$\\operatorname{RLC}(L=1)$Norm
00.89970.8997168$1.67 E-017$0.8997168$5.13 E-05$
0.10.85670.8567224$1.91 E-017$0.8567222$4.19 E-05$
0.5-0.7260144$3.86 E-017$0.7260142$1.89 E-05$
10.62470.6246753$2.02 E-017$0.6246753$1.67 E-05$
100.27500.2749946$1.93 E-017$0.2749945$8.49 E-06$
"} {"image_path": "images/b52d5a555cd86f9562ad59d5bd1b9b38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料代号热处理毛坯直径(mm)硬 度(HBS)抗拉强度极限$\\sigma_{\\mathrm{B}}$抗拉屈服极限$\\sigma_{\\mathrm{S}}$应 用 说 明
(MPa)
Q235440240用于不重要或载荷不大的轴
35正火 25$\\leqslant100$ <187143~187 530510314265 有好的塑性和适当的强度,可做一般转轴
45正火25$\\leqslant241$600360用于较重要的轴,应用最为广泛
正火回火 $\\leqslant100$>100~300170~217162~217600580300290
调质$\\leqslant200$217~255650360
40Cr调质 25$\\leqslant100$>100~300241~286241~2861000750700800550500用于载荷较大,而无很大冲击的重要轴
35SiMn42SiMn调质 25$\\leqslant100$>100~300229~286217~269900800750750520450性能接近于 40Cr,用于中小型轴
40MnB调质 25$\\leqslant200$241~2861000750800500性能接近于 40Cr, 用于重要的轴
20Cr渗碳淬火回火 1530$\\leqslant60$ 表面56~62HRC800650650550400400 用于要求强度、韧性及耐磨性均较高的轴
20CrMnTi 滲碳淬火回火<60 表面56~62HRC1100850用于汽车、拖拉机等重要的轴
"} {"image_path": "images/5587ebda9a72d7747d9caf81087026aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
药 物动物途径剂 量时间测痛方法针刺方法 含量(功能)针效作 者 文 献
HC-3
HC-3
HC-3
+[胆碱]
大鼠
大鼠
大鼠
脑室
脑室
[腹腔]
20 微克
10,20 微克
[60毫克/公斤×3]
5—7°

电尾-叫
辐射热-甩尾
辐射热-甩尾
电足三里、三阴交
电足三里、三阴交
电足三里、三阴交
$(\\downarrow)$
$(\\downarrow)$
[部分翻转]
$(\\downarrow)$
$(\\downarrow)$
北医生理:北医学报(4):224,1975.
任民峰等:北医学报(4):214,1978.
任民峰等:1979.
阿托品
阿托品
苯托品
东莨菪碱

大鼠
大鼠
脑室
腹腔
脑室
尾核
150 微克
2.5毫克/公斤
10 微克
120微克(双总)


15'
15'

即刻
辐射热-甩头

$\\left.\\begin{matrix}   \\\\ \\end{matrix}\\right\\}$辐射热-甩尾

耳部 $K^{+}$-挣扎
指压昆仑
电足三里、三阴交
电合谷、内关
M(↓)
M(↓)
M(↓)


北医生理:中国科学(1):98,1974.
任民峰等:979.
上海一医:针刺麻醉(1):21,1978.
毒扁豆碱大鼠腹腔0.25毫克/公斤15'辐射热-甩尾电足三里、三阴交(↑)任民峰等:1979.
"} {"image_path": "images/77f25985a72b3dfe4ea87dd1f8f44da8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SystemGeneration capacityLoadSystem parameters
Wind-turbinegenerator (kW) Dieselgenerator (kW) (kW) Kp(Hz/pukW)TP(s) $K_{IG}$(pukW/Hz) $K_D$(pukW/Hz) $K_{TP}$(pukW/Hz)
1212
1150150150+
100
150+
72·014·41·20·40.0040
2150650450
150+
80·016·00·50·750.0017
3150650150450+
100
150+
81·416·30·430·64
0·14
0.0014
4150100650150 100+
450+
100
150+
78·815·80·38
0·25
0·56
0·13
0·0013
0·0008
5150150650100+
450
81·41630·43
0·29
0·640·0014
0·0001
"} {"image_path": "images/7d952ca14a4c611b32b33a4e04483cd1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
#
FRh
"} {"image_path": "images/a13bb8492f5a03c63f13776c7c6cfa77.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
B.P.℃.BAROMETRIC PRESSURE Mm.B.P.(COR.TO735MM.)℃.N-HEXANE
In liquidIn vapor
Mole %Mole %
78.1729.578.40.40.9
77.4729.577.72.56.0
77.0729.577.34.38.3
76.0736. .7.515.3
72.8736. .21.533.3
69.8735. .43.054.5
67.8734. .71.375.3
67.7736. .76.379.0
67.5735. .88.989.3
67.4734. .96.596.6
67.3735. .9999
"} {"image_path": "images/3cfc2eb7c05902011845e25589ed203b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Yards to Go1st Down2nd Dwn3rd Down4th DwnTotalQB Avg.Yds toGoAvg.YIA(ofComp)Avg YdsShortShort ofSticksRateShort Rk AirYds%YAC%Rk
1&20.0%0.0%0.0%0.0%0.0%
3,4,520.0%0.0%3.0%0.0%2.8%
6-90.0%0.0%2.1%0.0%0.8%Kirk Cousins8.96.4-2.570%1354%46%22
10-142.3%6.8%3.3%0.0%3.1%
15+0.0%0.0%0.0%100.0%2.7%NFL Avg8.85.6-3.172%52%48%
Total2.5%1.8%2.2%7.1%2.3%
"} {"image_path": "images/af082cd59cbe5a2eed8251002ef8c02c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目
煤样
精煤分析煤 种
工业分析 (%)焦渣特征CRC发热量 $Q_{\\text{gr,daf}}$元素分析 (%)胶质层指数
灰分 $A_d$挥发分$V_{daf}$全硫$S_{t,d}$MJ/kg$\\mathrm{kcal} / \\mathrm{kg}$CHNY (nun)体积曲线
杨涧矿A1440. 50. 91432. 50777677. 784. 711. 320平滑下降长焰煤
B12. 736. 81. 28433.86810181. 025. 121. 279平滑下降气煤
C8. 142. 6 579. 735. 331. 7911平滑下降气煤
"} {"image_path": "images/725591d9b781d0d30b006ee1aaa10841.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CondensedspeciesFlux$\\text{function}\\ \\phi$$(\\text{mol/K·m}^3)$
$FeS_2$ (s)$-3.6~\\times~10^{-3}$
GaseousspeciesPartialpressure$(\\text{atm})^{\\text{a})}$Flux$\\text{function}\\ \\phi$$(\\text{mol/K·m}^3)$
$I_2$$8.6\\times 10^{-1}$$1.5\\times 10^{-2}$
$S_2$$1.1\\times 10^{-1}$$-2.3\\times 10^{-2}$
I$1.8\\times 10^{-2}$$-2.1\\times 10^{-2}$
$S_3$$6.0\\times 10^{-3}$$2.7 \\times 10^{-3}$
$S_4$$1.2\\times 10^{-3}$$1.5\\times 10^{-3}$
$FeI_3$$9.1 \\times 10^{-4}$$-2.9\\times 10^{-5}$
$S_6$$6.4\\times 10^{-4}$$2.2 \\times 10^{-3}$
$S_5$$3.6\\times 10^{-4}$$9.1\\times 10^{-4}$
$S_7$$1.7\\times 10^{-4}$$7.0 \\times 10^{-4}$
$FeI_2$$1.3\\times 10^{-4}$$-5.7 \\times 10^{4}$
$S_8$$5.1\\times 10^{-5}$$2.6\\times 10^{-4}$
$SI_4$$1.1\\times 10^{-5}$$2.2\\times 10^{-5}$
$Fe_2I_6$$8.3\\times 10^{-6}$$-3.6\\times 10^{-5}$
$Fe_2I_4$$1.1\\times 10^{-6}$$-6.9\\times 10^{-6}$
"} {"image_path": "images/6407fb67b8138a62a26e3b2ee483e223.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SubstrateSpecies$$\\frac{\\text{QO}_2\\text{ With substrate}}{\\text{QO}_2\\text{ Without substrate}}$$Observer
GlucoseRabbit1.11.74(1)
Ox1.0(2)
Pig1.05(3)
SuccinateRabbit1.98(1)
Ox1.84(2)
Pig1.70(3)
Citrate or Iso-citrateRabbit1.71.72(1)
Pig2.0(3)
PyruvateRabbit1.25(1)
Ox1.0
FumarateRabbit1.45(1)
Ox1.24(2)
Pyruvate + FumarateRabbit1.95(1)
Ox1.7(2)
OxalacetatePig1.3(3)
$\\alpha$-oxoglutarateRabbit1.28(1)
"} {"image_path": "images/14a37a90c4fb138a9b06e091567e4d96.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(a) Deflections at the mid-span (mm in RMS)
Cases (location)Sizes of inserted vehicle
1/4 size1/3 size1/2 size5/4 size4/3 size3/2 size
0.6328 (no inserted vehicles)
0.5500(-13.1%)0.5431(-14.2%)0.5616(-11.3%)0.5719(-9.6%)0.5520(-12.8%)0.5306(-16.2%)
0.5264(-16.8%)0.5224(-17.4%)0.5416(-14.4%)0.5396(-14.7%)0.5151(-18.6%)0.4988(-21.2%)
0.5261(-16.9%)0.5242(-17.2%)0.5354(-15.4%)0.5331(-15.8%)0.5094(-19.5%)0.4982(-21.3%)
0.5501(-13.1%)0.5404(-14.6%)0.5437(−14.1%)0.5040(-20.4%)0.5021(-20.7%)0.5064(-20.0%)
(b) Accelerations at the mid-span (g in RMS)
0.0297 (no inserted vehicles)
0.0169(-43.1%)0.0164(-44.8%)0.0205(-31.0%)0.0231(-22.2%)0.0204(-31.3%)0.0174(-41.4%)
0.0098(-67.0%)0.0102(-65.7%)0.0166(-44.1%)0.0185(-37.7%)0.0144(-51.5%)0.0112(-62.3%)
0.0098(-67.0%)0.0106(-64.3%)0.0152(-48.8%)0.0174(-41.4%)0.0132(-55.6%)0.0111(-62.6%)
0.0140(-52.9%)0.0127(-57.2%)0.0155(-47.8%)0.0125(-57.9%)0.0124(-58.2%)0.0124(-58.2%)
(c) Bending moments at the mid-span (ton-m in RMS)
234.66 (no inserted vehicles)
212.42(-9.5%)211.50(-9.9%)218.22(-7.0%)214.46(-8.6%)209.26(-10.8%)205.04(-12.6%)
208.40(-11.2%)208.08(-11.3%)214.43(-8.6%)205.19(-12.6%)199.31(-15.1%)197.20(-16.0%)
208.38(-11.2%)208.31(-11.2%)212.08(-9.6%)203.31(-13.4%)197.74(-15.7%)196.85(-16.1%)
215.85(-8.0%)212.99(-9.2%)213.61(-9.0%)196.46(-16.3%)197.02(-16.0%)198.54(-15.4%)
"} {"image_path": "images/6376493fed41af7a841514242b9a21b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品计量单位计 划实 际按计划单位产品利润计算的实际利润额(元)
销售量单位产品利润额(元)销售量单位产品利润额(元)
价格(元)利润(元)价格(元)利润(元)
3,0001001030,0002,0001001020,00020,000
2,0002006020,0002,00020060120,000120,000
1,00030015030.0001.80025090162,000270,000
合计300,000302,000410,000
"} {"image_path": "images/f5b6264cdbfe5cbdfe5cb88bc880a48c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nomenclaturettemperature
$T_{0}$ninlet temperature
ARaspect ratio, AR = W / suvelocity component in the x direction
$C_{f}$skin friction coefficient, $C_f\\ = \\ 2\\tau_w/\\rho u_0^2$$u_{0}$average inlet velocity
ERexpansion ratio, ER = H / (H - s)vvelocity component in the y direction
HDuct's height downstream from the stepWwidth of the duct
hDuct's height upstream from the stepwvelocity component in the z direction
kthermal conductivityxstreamwise coordinate axis
Lhalf widthof the duct$x_r$reattachment length
nvector outer normal to surfaceytransverse coordinate axis
Nu$\\mathrm{Nusselt~number,~}Nu=q_\\mathrm{w}s/k(T_\\mathrm{w}-T_0)$zspanwise coordinate axis
ppressure
PrPrandtl numberGreek symbols
$q_w$wall heat flux = $-k \\partial T / \\partial n$ at the wall$\\mu $dynamic viscosity
ReReynolds number, Re = $\\rho u_0H / μ$$\\rho $density
Shalf height of the duct downstream from thestep$\\tau_{\\mathrm{w}}$wall shear stress, for three-dimensional fow
$\\tau_{\\mathrm{w}}=\\sqrt{(\\partial u / \\partial y)^2+(\\partial w / \\partial y)^2}$
Sstep height
"} {"image_path": "images/0d9e10350737c903307383486e289940.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$V_{ix}$$V_{ox}$$T_{mx}$$\\frac{T_{mx}}{2}$ $\\frac {T_{mx}}{^\\circ R^\\quad\\circ F}$$\\frac {u_{x}}{cp\\quad1b/ft-sec.}$
2150490285243408-520.01480.995
2100660295148413-470.01491.002
2050820304152417-430.01501.008
2000 990311166421-390.01511.015
19501160316158423-370.01521.021
19001320322161426-340.01521.021
18501490324162427 -330.01531.028
18201590325163428-320.01531.028
18001660325163428-320.01531.028
17801720326163428-320.01531.028
"} {"image_path": "images/8414cc577597243c0224f6feac5545da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Modes(GEM) Zhang and SainsburyPresent model
Ω (Hz)ηΩ (Hz)η
144.9470.144944.7080.1230
5104.6000.1963105.1420.1750
10192.6630.1952193.6520.1857
15295.8640.1669297.0660.1586
20363.5150.1410360.6810.1378
25448.3460.1245450.9710.1228
30538.7570.1032528.2860.1042
35653.1570.0936647.5160.0893
40703.3820.0824698.8150.0860
50898.6330.0684892.6890.0681
"} {"image_path": "images/295c3639e7adf7044dfb6409f89b6661.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建筑设计研究院目 录共 2 页第 2 页
综合楼(结构图纸部分)日期2003. 2
阶段施工图
序号图号名 称折算幅面备注
1结施-01结构设计说明A2
2结施-02基础平面图A2
3结施-03J-1、J-2、J-3详图A2
4结施-04J-4~J-8详图A2
5结施-05地下室结构平面图、一层结构平面图A2
6结施-06二层结构平面图A2
7结施-07屋面结构平面图A2
8结施-08一层楼面梁结构图A2
9结施-09二层楼面梁结构图A2
10结施-10屋面梁结构图A2
11结施-11地下室楼面梁结构图、地下室柱平面结构图A2
12结施-12一层柱平面结构图A2
13结施-13二、三层柱平面结构图A2
14结施-14平面梁节点大样图A2
15结施-15柱子节点大样图A2
16结施-16楼梯结构图A2
目-2目录$\\frac{1}{4}\\mathrm{A}2$
总计$18\\frac {1}{4}\\mathrm{A} 2$
设计: 审核: 技术总负责人:
"} {"image_path": "images/7dc822605de14b2ab40176825b89ff9c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
钢绞线结构钢绞线公称直径 Dnmm抗拉强度 RmMPa整根钢绞线的最大力 FmkN规定非比例延伸力Fp0. 2kN 最大力总伸长率 (L0≥400mm)Agt%应力松弛性能
不小于初始负荷相当于公称最大力的百分数%1000h 后应力松弛率r/%不大于
1x25.00157015.413.9对所有规格3.5对所有规格60
70
80
对所有规格1.0
2.5
4.5
172016.915.2
186018.316.5
196019.217.3
5.80157020.718.6
172022.720.4
186024.622.1
196025.923.3
8.00147036.933.2
157039.435.5
172043.238.9
186046.742.0
196049.244.3
10.00147057.852.0
157061.755.5
172067.660.8
186073.165.8
196077.069.3
12.00147083.174.8
"} {"image_path": "images/0171ecb840f3e5c13a4f6c82d211a121.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Trial balance at 28 AprilDebitCredit
Sales
Purchases
Bank balance at 28 April
Expenses (interest, wages, rent, posters)
Fixed assets (badge-making machine)
Debtors (money owed by customers)
Creditors (money owed to suppliers)
Cash
Bank loan
Owners' capital at 28 April
Total
"} {"image_path": "images/4fae4a22481bb8e1b628047cb3d9eec7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Irradiated samplesCrystallite sizeD(A)Meancrystalline sizeSpecific surface area$(\\mathrm{in~m}^2/\\mathrm{g})$
Native CS34.1567.58$3.8\\times10^9$
1 MR+10% PVA101.01
Native CS27.3127.86 $9.2\\times 10^{9}$
10 MR+10% PVA28.41
0.5% CS 1 MR $+10 \\%$38.3941.43 $6.2\\times 10^{9}$
PVA44.47
0.5% CS 5 MR+10%50.65670.6 $3.8\\times 10^{8}$
PVA1912.93
48.22
0.5% CS $10 \\mathrm{MR}+10 \\%$44.51379.56$ 6.7\\times 10^{8} $
PVA1018.56
108.89
290.91
434.93
1.5% CS 1 MR + 10%20.1424.1 $1.1\\times 10^{10}$
PVA28.03
$1.5\\%\\text{СS }10\\text{ МR }+10\\%$21.9022.45 $1.13\\times 10^{10}$
PVA22.99
2%CS 1 MR+ 10%30.55193.77 $1.31\\times 10^{9}$
PVA504.78
45.97
2% CS 10 MR+10%35.29712.62 $3.6\\times 10^{8}$
PVA2019.53
83.04
"} {"image_path": "images/4654905091dce777d5019cea1355ef96.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Non-BlacksBlacks
1970s1980s1990s1970s1980s1990s
Political Behaviors
Voted in most recent election-0.889 [0.782]0.196 [0.206]-0.049 [0.135]2.826 $\\text{[1.436]}^{*,\\text{a}}$0.741 [0.648]-0.997 [0.646]
Attitudes toward race
Black/White thermometer (0 to 100)14.207 [25.441]-10.56 $\\text{[5.289]**}$-24.25$\\text{[9.263]***}$16.827 [37.733]-13.477 [16.480]
Belief that government should aid Blacks (1) throughBlacks should help themselves (7)2.171 [3.244]1.618 $\\text{[0.891]*}$2.055 $\\text{[0.889]**}$-2.36 [2.892]0.248 [2.374]
Political attitudes
Identification as extremely liberal (1) throughextremely conservative (7)3.33 [2.540]2.134 $\\text{[1.151]*}$2.832 $\\text{[1.102**}$-2.138 [1.638]-1.184 [2.547]
Identification as strong Democrat (1) through strong Republican $(7)^b$9.74$\\text{[4.987]*}$0.833 [1.032]2.216$\\text{[1.242]*}$-0.871 $[0.677]^{b}$1.309 [2.070]0.265 [1.878]
Voted for the Democrat in most recent Congressional election -4.7$\\text{[2.781]*}$-0.417 [0.616]-1.015$\\text{[0.587]*}$-0.638 [0.886]0.433 [0.307]
"} {"image_path": "images/3bda4bd1840c7c7d3d617e16622bf107.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
60號200號
士林蓝 GCDN210公分420公分
純碱200公分200公分
燒碱 $40^{\\circ} \\mathrm{Bé}$3.5公升4公升
保險粉1,3,6500+100+100公分600+100+100公分
染色8道210公升210公升
1000號初染續染套染
士林深藍 FSHB1200公分1095公分1150公分
純碱400公分400公分
燒碱 $40^{\\circ} \\mathrm{Bé}$5公升3公升4.5公升
保险粉1,2,4,7 750+150+150+150公分750+150+150+150公分750+150+150+150公分
210公升210公升210公升
180號初染續染套染
士林藍 RSN516公分475公分500公分
士林青蓮 2R50公分50公分50公分
純碱300公分300公分
燒碱 $40^{\\circ} \\mathrm{Bé}$4公升2公升3公升
保險粉 1,3,6600+120+120公分600+120+120公分600+120+120公分
210公升210公升210公升
"} {"image_path": "images/c145b4f1f3a87d8b4f9dcf935012da57.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Abbre-viatlonMineral NameChemical FormulaHeat Capacity*$(cal\\ . deg^{-1} . gfw^{-1})$Standard Heat ofFormation (kcal.$gfw^-1$)Stundard Entropy(cal .${deg}^{-1}.{gfw}^{-1}$)Nolar Volume**(cal .${bar}^{-1}.{gfw}^{-1}$)
abc
cacalcite$CaCO_{3}$ 24.985.24- 6.20(K)- 288.59(R-W)22.15(R-W)0.8802
mtmagnetite$Fe_{3} O_{4}$ 21.884B.20(K)- 267.40(R-W)36.03[R-W]1.0630
hmhematite$Fe_{2}O_{3} $23.4918.60- 3.55(K)- 197.30(R-W)20.89(R-W)0.7267
q2quartz$SiO{2}$ 11.228.20- 2.70(K)- 217.65(R-W)9.88(R-W)0.5421
wowollastonite$CaSiO_{3}$ 26.643.60- 6.52(K)- 390.64{R-W)19.60(R-H)0.9544
adandradite$Ca_{3} Fe_{2} Si_{3}O_{12} $92.7129.69- 13.83(K-T-M)- 1377_(K-T-M)78.7(K-T-M)3.1403
$CO_{2}$ 10.572.10- 2.06(K)- 94.05(R-W)51.06(R-W)
$O_{2} $7.161.00- 0.40(K)48.996(A-W)
"} {"image_path": "images/dfd60bf59a9474777b0c851161d69eed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Liquid$\\beta /\\gamma $b.p.$a\\times 10^{3}$$b\\times 10^{11}$$(c_{p})_{l} calc.$
exp.theor.exp.theor.exp.theor.exp.
Mercury573570.2230.183
(300°)
0.4120.454
(192°)
0.02610.0332
(260°)
Bromine28.358.81.181.228.06.25
(20°)
0.0960.107
Carbon
disulfide26.746.31.291.3111.08.70.2130.246
Acetone22.356.51.411.5413.711.40.5190.550
Carbon tetra-chloride21.876.81.431.4220.015.8
(70°)
0.1800.229
(60°)
Chloroform20.261.21.361.3715.014.10.2120.253
Ethyl ether19.734.61.581.7223.020.70.5590.560
Benzene19.480.11.481.5419.016.00.3950.444
Ethyl alcohol14.078.41.451.369.011.00.750.75
Water10.91001.430.752.84.141.291.01
"} {"image_path": "images/825b3ffee412a806b3d66c7a788df04a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
调查时间示范处理调查株数各级株数危害指数 防治效果有蚜蛛%百株蚜量
0123
5月30日300克/亩10091631291.39197
330克/亩1009361893.87103
呋喃丹2kg/亩100671614311666.3331092
空白对照10026292718344-743485
250克加2kg沙子直接拌种100897313290.711397
6月6日300克/亩100866525187.313403
330克/亩100865726084.914454
呋喃丹2kg/亩100609191222444.0401493
空白对照1006403618400-943164
250克加2kg沙子直接拌种1008010916583.720602
6月10日300克/亩1008310615085.617504
330克/亩100888313390.5 12343
呋喃丹2kg/亩100864926930612.1842903
空白对照10017333713348-833628
250克加2kg沙子直接拌种100865726082.914543
"} {"image_path": "images/d28a442b6f9b3c6801db96b45da67557.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n
SpecimenDefect typeDefect dimensionsFatigue test stresses$N_f$
$a$ (mm)$c$ (mm)$\\sigma_m$ (MPa)$\\sigma_a$ (MPa)
PLP1LP5.317.064.783.2643,266
PLP2LP5.815.965.0107.9494,002
PLF1LF1.226.164.7192.5097,373
PLF2LF1.417.564.0221.4053,287
PND64.8172.3515287
"} {"image_path": "images/0acc1375b0c9b64446a65310a03606d6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
QOL構成要素地区内で充足可移動によい充足可外部支援により充足可QOL構成要素の充足要件(必要なインフラの組み合わせ)
生命の保持(レベル1)救急医療機会${○}$${○}$$(医療施設 ∧^{*1} 施設への交通網^{*3}) ∨^{*2}支援$
${△}$薬の確保${○}$${○}$${○}$${備蓄∨(薬局∧施設への交通網)∨支援}$
飲料水の確保${○}$${○}$${○}$${(住宅 ∧ 水道 ∧ 買物施設)∨ 施設への交通網∨支援}$
食糧(量)の確保${○}$${○}$${(買物施設∧施設への交通網)∨支援}$
寝るところ${○}$${○}$${○}$${住宅 ∨ 避難所}$
寒ち·暑ち${○}$${○}$${○}$${(住宅V避難所)∧(灯油∨電気∨ガス∨毛布)}$
健康・衛生の保持(レベル2)医療機会${○}$${○}$${(医療施設∧施設への交通網)∨臨時診療所}$
食料(質)の確保${○}$${○}$${(買物施設∧施設への交通網)∧ライフライン}$
入浴機会${○}$${○}$${○}$${(住宅 ∧ ライフライン)∨((入浴施設∧ 仮設風呂) ∧ 施設への交通網))}$
トイレ環境${○}$${設備∧上下水道}$
衣類清潔性${○}$${○}$${○}$${(住宅∧上下水道)∨(買物施設∧施設への交通網)∨支援}$
${△}$空気環境${○}$${瓦礫撤去∨換気設備}$
温熱環境${○}$${冷暖房設備∧(電気∨灯油)}$
プライバツーの確保${○}$${○}$${住宅∨仮設住宅∨(避難所∧パーテーション)}$
社会的生活の保持(レベル3)教育機会${○}$${教育施設∧施設への交通網∧交通手段}$
${△}$就業機会${○}$${就業施設∧施設への交通網∧交通手段}$
買物機会${○}$${買物施設∧施設への交通網∧交通手段}$
住宅の確保${○}$${(住宅∧ライフライン)∨仮設住宅}$
文化的生活の保持(レベル4)${□}$利便性${○}$${○}$$平常時QOL評価システムでの範囲(加知ら^{12)})$
${□}$快適性${○}$
${□}$安全性${○}$
"} {"image_path": "images/74a5953e2ee66e9bbc925e95f9b980c6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Goals and PrioritiesWeighting1-5Option A RankingScoreOption B RankingScoreOption C RankingScore
Min. income £ 40k4728
Job satisfaction5315
Flexible hours3824
Location3412
Business sector2612
Total91
"} {"image_path": "images/2b2d8f50931a6d8b2149272531902748.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Regressor(1)(2)(3)
Executive election-5.853
(16.089)
-5.853
(17.217)
-1.525
(11.139)
UN average × election12.165
(28.920)
12.165
(28.777)
3.771
(21.320)
UN residual × election51.590
(19.323)***
34.971
(15.522)**
40.753
(17.131)**
UN donor average25.292
(23.867)
25.292
(33.212)
-39.641
(36.098)
UN residual-53.023
(25.197)**
-132.273
(43.164)***
-179.880
(66.551)***
Population-0.424
(0.374)
GDP0.226
(0.000)***
Population (donor)-4.941
(0.760)***
GDP (donor)0.051
(0.008)***
Fixed effectsObservations$R^2$DR,Y
15,315
0.004
DR,DY
15,315
0.017
DR
13,495
0.008
"} {"image_path": "images/48fa0506734804acf95cf52fa53daeb5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
; ;;
8 2전공의 교육과정에서 선택수련(Elective Course)의 적용과 평가; 1996
8 2전국 의과대학 교육과정위원회의 현황 및 운영 실태1996
8 2학술대회 및 학생교육기획을 위한 발표/토의방법의 선태1996
8 2한국의과대학의 교육목적과 교육목표의 내용분석; 1996
8 1교육과정 개발의 기본 원칙1996
8 1교육과정 개선의 의미1996
8 1북한의 전문 용어 다듬기에 대하여-의학,약학 용어를 중심으로-1996
8 1성형외과 전공의 교육과정에 대한 연구1996
8 1실습평가를 통한 실습프로그램의 개선에 관한 연구-일개 의과대한 산업보건 실습을 중심으로-1996
8 1우리나라 의학용어의 제정배경및 전망1996
8 1우리말 의학용어 사용을 위한컴퓨터 활용1996
8 1의학 교육에 있어서의 TutorialSystem; ; 1996
8 1의학과 평가와 교수의 참여-효율적인 의학과 평가대책-1996
8 1의학용어와 교과서 만들기1996
8 1의학용어의 외래어 표기 기준1996
"} {"image_path": "images/043cab7e1381084e8355a71ba5c96fc2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号$QF_{23}JR_1$$-L_3$$QF_{23}JR_4$$-L_3$$QF_{25}R_3$$-L_3$$QF_{25}R_5$$-L_3$$QF_{23}JR_3$$-L_3$$QF_{25}JR_6$$-L_6$$QF_{23}JR_6$$-L_6$
操 作 方 式按钮式锁 式旋钮式推拉式旋钮式推拉式
公 称 通 径 mm36
介 质 温 度 ℃ $+5 \\sim+50$
环 境 温 度 ℃ $-5 \\sim+50$
相 对 湿 度 %≤95
工作压力范围 MP。0.05~0.8
流量特 性 S 值 $\\mathrm{mm}^{2}$≥3 ≥10
额 定 流 量 $m^{3} / h$0.7 2.5
额定流量下的压力降 $M P_{a}$$ \\begin{array}{l}\\leq 0.025\\\\ \\end{array}$≤0.022
泄 漏 量 $cm^{3} / s$$ \\leq 0.167 $
操作力常断型N≤29.4≤29.4$ \\leq 68.67 $
常通型$≤ 58.86$≤29.4≤29.4$ \\leq 58.86 $≤29.4$ \\leq 117.7 $
寿 命 (万次)>150
"} {"image_path": "images/d330f00507c7df1c6533ef7536d93069.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\sigma_a^2$FSSEAMV-FASTNVA-SEA
Mother and Daughter6.5961322.37.827.57
20961403.116.1927.78
64961513.418.3225.27
6.5961289.67.3227.16
Hall Monitor20961387.315.6326.23
64961515.417.9226.17
Lab_M961289.516.3726.35
"} {"image_path": "images/fadd722013d07e6d7aea8a7f5b4f7ead.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n
A/AA/ PlantA CategoryPlant NameHeight aboveground(m)Average Leaf area(LA)*m2Number of natural leaves(see Table 3)Number of equivalent luminescent leaves* per naturalleaf (size 0.10 m × 0.10 m)Number ofluminescent leaves
abcdefg=(e $\\times$ f)
1 TreesQuercus Ilex4.500.00135600.1356
2 ShrubsPittosporum
Tobira
1.900.0028650.2173
3Lavandula
Angustifolia
0.700.000161000.0161
4Climbing(MorningGlory)
Ipomoea
purpurea
1.900.0072660.70186
"} {"image_path": "images/a95adc9ad1be962df63eb4c6c8549cbd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelmCycleWithinBetween$\\sum m(t)$
E(k)V(k)E(k)V(k)
Cyclic migration0.1100(a)1.3(5.8)3.1(11.6)10
(b)0.8(3.1)3.6(12.1)10
10(a)1.0(2.3)1.2(2.5)1
(b)1.0(2.2)1.2(2.5)1
0.01100(a)1.2(24.9)22.1(305.7)1
(b)0.8(10.0)22.6(302.3)1
10(a)1.0(4.6)3.4(13.0)0.1
(b)1.0(4.3)3.5(13.1)0.1
Single-unit model1.0(2.0)1.0(2.0)
Isolation model0.5(0.8)51.0(52.0)
"} {"image_path": "images/8f8fb5f99cabbf2ed6127f587425030b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
成分单位最低量最高量
热量$\\mathrm{kcal} / 100 \\mathrm{ml}$6070
蛋白质
用牛奶蛋白生产的成长奶粉g/100kcal1.83.0
用水解蛋白或分离大豆蛋白,单独或混合牛奶蛋白生产的
成长奶粉$\\mathrm{g} / 100 \\mathrm{kcal}$2.253.5
$脂质^{1}$
总脂肪g/100kcal4.06.0
亚油酸mg/100kcal3001200
α-亚麻酸mg/100kcal50-
亚油酸/$\\alpha$-亚麻酸比值515
月桂酸+肉豆蔻酸占脂肪百分比%-20
全式脂肪酸占脂肪百分比%-3
芥子酸占脂肪百分比%-1
磷脂g/L-2
长链(20和22碳原子)
$多不饱和脂肪酸(LCP)^{2}$占脂肪百分比%
$n-3LCP$1
$n-6LCP$2
花生四烯酸$-1$
$碳水化合物^{4}$
总碳水化合物g/100kcal9.014.0
$乳糖^{3}$g/100kcal4.5-
$蔗糖和(或)果糖和(或)蜂蜜^{4}$占碳水化合物百分比%-20
葡萄糖g/100kcal-3
$低聚果糖和低聚乳糖^{6}$g/L-8
维生素
$维生素A^{7}$$u-g-RE/100kcal^{4}$60180
$维生素D^{8}$$μg/100kcal$3
$维生素E^{9}$mg $\\alpha$-TE/100kcal$0.5^{10}$5
维生素K$μg/100kcal$425
硫胺素$μg/100kcal$60300
核黄素$μg/100kcal$80400
$烟酸^{11}$$μg/100kcal$3001500
$维生素B_{6}$$μg/100kcal$35175
$维生素 B_{12}$$μg/100kcal$0.10.5
泛酸$μg/100kcal$4002000
叶酸$μg/100kcal$1050
维生素Cmg/100kcal1030
生物素$μg/100kcal$1.57.5
"} {"image_path": "images/126d70bc36a1be61de306b6cfd310ef4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RXRelative retention volumebp (p, mm)$n_o~^{20}$Found, %FormulaCalculated, %
CHCH
$\\mathrm{n}-\\mathrm{C}_{4} \\mathrm{H}_{9}$H1.00134-136° (0.3)1.507767.37, 67.467.09, 7.16 $\\mathrm{C}_{14}\\mathrm{H}_{18}\\mathrm{O}_{4}$ 67.187.24
$CH_3$1.30145-148 (0.4)1.508068.23,-68.027.64, 7.41 $\\mathrm{C}_{15} \\mathrm{H}_{20} \\mathrm{O}_{4}$ 68.167.67
$ \\mathrm{C}\\left(\\mathrm{CH}_{3}\\right)_{3} $1.35157-160 (0.4)1.506070.$\\dot{7}$4, 70.528.78, 8.58 $\\mathrm{C}_{18} \\mathrm{H}_{26} \\mathrm{O}_{4}$ 70.568.55
$OCH_3$2.56160-164 (0.4)1.514064.22, 64.147.14, 7.06 $\\mathrm{C}_{15} \\mathrm{H}_{20} \\mathrm{O}_{5}$ 64.277.19
$C_6H_5$12.80 mp 57-58 (hexane)-73.36, 73.596.74, 6.84$\\mathrm{C}_{20} \\mathrm{H}_{22} \\mathrm{O}_{4}$73.606.79
$CF_3$0.50120-122 (0.5)1.471356.40 -5.30, 5.26$\\mathrm{C}_{15} \\mathrm{H}_{17} \\mathrm{~F}_{3} \\mathrm{O}_{4}$ *56.605.38
$\\mathrm{n}-\\mathrm{C}_{3} \\mathrm{H}_{7}$H0.83118-120 (0.5)1.510166.31, 66.096.86, 6.87$ \\mathrm{C}_{13} \\mathrm{H}_{18} \\mathrm{O}_{4} $66.086.82
"} {"image_path": "images/99809b16c19eb2671231d851fbf672a1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Wei-Prater MethodZSM-5
HZSM-5$Approach to^{*}$Equilibrium
ReactantSelectivityLaY250300Silica-Alumina
para-xylenemeta/ortho8.083.32.637.11.75
meta-xyleneortho/para1.330.560.740.750.63
ortho-xylenemeta/para10.71.881.8826.20.85
"} {"image_path": "images/ec99cc376001286c46e6bada5c3331df.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
KIMMỘCTHỦYHỎATHỔ
Tạng ẨmPhổiCan (Gan)ThậnTimTiMàng tim
Phù DươngRuột giàMậtBọng đáiRuột nonLá láchTam tiêu
Màu sắcTrắngXanhĐenĐỏVàng
Trên mặtMũiMắtTaiLưỡiMiệng
Trong ngườiDa/LôngGânXươngMáuThịt
Tâm trạngBuồnGiậnSợMừngLo lắng
Vị nếmCayChuaMặnĐắngNgọt
"} {"image_path": "images/b9b61bfaf9cca40fa0bd42c661e15006.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年齡組别Age group性别SexNov 1994 -Mar 1995 1999Jan-Feb 2000Jul-Sep 2002Apr-Jun 2003Jul-Sep 2005Apr-Jun 2009Apr-Jun
15 - 19F1.62.31.43.61.55.12.6
M1.61.92.33.23.62.44.0
20 - 19F5.68.65.98.211.214.113.3
M6.111.39.711.214.713.310.3
30 - 19F13.719.014.417.516.118.017.8
M5.913.49.811.513.59.98.3
40 - 49F12.125.030.932.632.435.438.2
M4.313.416.413.419.116.115.7
50 - 59F6.18.614.912.714.918.826.4
M4.76.78.98.49.89.812.6
$\\geqq 60$F2.91.82.13.22.43.24.0
M3.34.35.25.53.94.75.7
小计 Sub-totalF42.065.269.777.878.594.6102.3
M25.851.052.353.164.756.356.5
總計Total67.8116.2122.0130.9143.1150.9158.8
"} {"image_path": "images/a09a0e82d1d9490cf6e8408db87d5cec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
大 陆 名台 湾 名英 文 名
甲酰间苯二胺纤维)
芳酰胺纤维增强聚合醯胺纖維強化聚合體aramid fiber reinforced polymer
物基复合材料複材composite
芳香油(=精油)
芳香族聚酰胺聚芳基醯胺polyarylamide
芳香族聚酰胺纤维芳香族聚醯胺纖維aromatic polyamide fiber
芳香族聚酰胺纤维增强体芳香族聚醯胺纖維強化體aromatic polyamide fiber reinforcement
芳香族聚酯纤维芳香族聚酯纖維aromatic polyester fiber
芳樟醇芳樟醇linalool
防白剂(=防潮剂)
防爆铝合金防爆鋁合金anti-blast aluminum alloy
防爆镁合金防爆鎂合金anti-blast magnesium alloy
防潮剂防潮劑moisture-proof agent
防氚渗透材料防氚渗透材料tritium-permeation-proof material
防弹玻璃防彈玻璃bullet-proof glass
防冻早强剂防凍及硬化加速劑anti-freezing and hardening accelerating agent
防辐射混凝土輻射屏蔽混凝土radiation shielding concrete
防腐剂防腐劑antiseptic agent, rot resist
防腐木防腐處理木材preservative-treated timber
防腐蚀涂料抗蝕塗層anticorrosion coating
防火玻璃耐火玻璃fire-resistance glass
防火涂层防火塗層fire-proofing coating
防火涂料阻燃塗層fire retardant coating
防焦剂防焦劑,阻焦劑scorch retarder
防老剂抗老化劑antiager
防流挂剂防垂流劑anti-sagging agent
防热复合材料耐熱複材heat-resistant composite
防热隐身复合材料耐熱隱形複材heat-resistant stealth composite
防水革防水皮革waterproof leather
防水混凝土防水混凝土,不透水混凝土waterproof concrete, watertight concrete
防水涂料防水塗層waterproof coating
防碎玻璃(=夹丝玻璃)
防伪纸安全紙safety paper
防污涂料防污塗層antifouling coating
防雾剂防霧劑antifogging agent
防锈铝LF $\\times \\times$(=铝镁系
"} {"image_path": "images/eb4989b70ea2841cf9831c6fbc3a0e5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
C2 $\\quad\\blacktriangledown\\times \\quad \\checkmark f_{x}$ = A2&TEXT(B2,\"000\")
A BCDEF
1類別編號貨品編號
2A1A001
3A33A033
4A125A125
5B2B002
"} {"image_path": "images/91d94ae91dbc186819d6d2795d3be457.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PeakAssignmentTacticity
obs.calculated
1st Markovstereoblend model
1(mmmm)
(mmmr)
(rmmr)
}0,39$0,38_6$$0,38_1$
2(rmrr)
(rmrm)
}0,21$0,06_7$$0,04_9$$0,12_3$$0,08_9$
3(mmrr)
(mmrm)
}0,15$0,14_3$$0,10_4$$0,08_9$$0,06_4$
4 4(rrrr)0,11$0,08_4$$0,08_5$
5(mrrr)0,09$0,12_2$$0,12_3$
6(mrrm)0,05$0,04_4$$0,04_5$
"} {"image_path": "images/8404f0e12051d685580182f784cfa7da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n\n\n \n \n\n\n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n
定额编号B9-33B9-34B9-35
子目名称灯箱、广告牌面层
玻璃钢胶合板铝塑板
基 价 (元)一类
二类
三类
587.26
586.09
585.60
297.91
296.89
296.46
1548.88
1547.59
1547.06
其中人工费 (元)
材料费 (元)
机械费 (元)
35.28
547.58
-
30.91
263.14
-
38.81
1505.22
-
管理费(元)一类
二类
三类
4.41
3.24
2.75
3.86
2.84
2.41
4.85
3.56
3.03
编码名 称单位单价(元)消 耗 量
00000001一类工工日28.001.261.101.39
14055001玻璃钢52.1510.50--
03010013胶合板 2440×1220×524.38-10.50-
11001002铝塑板 δ3137.00--10.50
22020013木螺丝 d4×500.02-357.64357.64
17052009202胶 FSC-2kg29.20--2.04
"} {"image_path": "images/4feba58ccbd58b234c51ba393df05257.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaterialSpecificgravity(ρ), g/cm³Specificheat $(c_\\nu ),$KJ/kg·℃Thermalconductiv-ity (λ),W/m· ℃Thermaldiffusiv-ity (α),m²/hrTensilemodulus(E), 10⁵MPaUltimatetensilestrength(σ), MPaRelativecooling time
$(T_1)^a$$(T_2)^b$
Copper8.890.394376.50.3881.172216.41.01.0
Mild steel7.850.47751.10.0491.962417.52.26.0
Nickel-chromesteel (13percentchromium7.60.50317.60.0171.9621237.00.717.2
Beryllium cop-per8.090.419121.20.1291.241083.00.123.15
Zinc alloy(Kirksite)6.70.419104.50.1840.828262.61.43.0
Aluminum alloy2.70.918205.00.2980.711185.41.82.0
Epoxide resin1.21.3401.6730.138 to 0.41477.3
"} {"image_path": "images/a2072f951a56d2fa291cf26f7f47e864.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项目编码项目名称计量单位工程量综合单价(元)
人工费材料费机械费费用费用明细 (不重复计入小计)增值税小计
管理费利润总价措施 其中:安全文明施工规费
1010101001001平整场地m21787.950.060.640.730.360.120.070.080.070.090.161.95
G1-319机械场地平整100m217.87956.4463.6572.5936.412.197.447.636.619.1416.12195.2
2010101004001挖基坑土方m3727.3225.556.886.7314.884.983.043.122.73.744.8658.9
G1-123挖掘机挖沟槽、基坑土方(装车) 三类土1000m30.65458 8882.281797.713977.162238.75749.33457.76469.42406.74562.24800.639696.53
G1-19人工挖基坑土方(坑深) 三类土 ≤2m10m37.2732391.0900180.1960.3136.8437.7832.7345.2651.42622.7
G1-332基底钎探100m217.879584.6490.8420.9748.6716.299.9510.28.8412.2322.06267.18
G1-207装载机装运土方(斗容2m3)运距20m以内1000m30.727323681154.47749.95515.05172.39105.3110893.57129.35250.873038.34
G1-46人工装车 土方10m372.73283.810038.6112.927.898.17.019.711.02133.44
G1-51人力车运土方运距≤50m10m372.73296.510044.4714.889.099.338.0811.1712.69153.67
"} {"image_path": "images/79823fda34078b2410d7942c9fc7f44f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CationsAnions
NameFormulaNameFormula
aluminiumAlbromideBr
ammoniumNH:carbonate$\\mathrm{Co^{~~2}}$
bariumBa chlorate(l)CIO
calciumCa chlorate(V)$\\mathrm{ClO_3}$
chromium(III)Cr chlorideCI$^-$
cobalt(II)$\\mathrm{Co^{ }}$fluorideF
copper(II)$\\mathrm{Cu^{ }}$hydrogencarbonateHCO;
hydrogenH$^.$hydroxideOH
Iron(II)$\\mathrm{Fe^{ }}$iodide1
iron(III)$\\mathrm{Fe^{ }}$nitrateNO#
lithiumLi$^.$nitrite$\\mathrm{No_{ }}$
magnesium$\\mathrm{Mg^{2-}}$oxide$\\mathrm{O^{ }}$
potassiumK sulphate$\\mathrm{SO_4^{2-}}$
silverAg sulphide$\\mathrm{S^{ }}$
sodiumNa sulphiteSO
zinc$\\mathrm{Zn^{2}}$thiosulphate$\\mathrm{S_2O_\\#^{~~~2-}}$
"} {"image_path": "images/bc24fe884a0851b1dc0ec580da568ed8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
15;314;3
1161925119382
---————$\\mathbf{\\&}\\mathbf{c}.$
0151621100321
5;413;41
15212699422521
-- - 一一 -$\\mathbf{\\&}\\mathbf{c}.$
01451981100
"} {"image_path": "images/ca8fede45721d1b044d2082003df6462.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目##组别 s <ẼÁÖ> L 值LSÓVxÁI
@oxfg
始重 tØÔÕ× = IQÄA&Ujj 8Xmm8ajj E8Rmm8aaj j 8ccm8aRj j 8-cE8EEj j 8K-j 8aCX8amC
末重 #=#--C8Fjm8mm-X8mR-C8RC$-\\mathrm{Xa} 8 \\mathrm{mK}$-C8XC$-\\mathrm{Xm} 8 \\mathrm{~mm}$a 8Km$-\\mathrm{X} 8-\\mathrm{E}$-R8-EX8RRC
平均日采食量 @f $\\mathrm{dt} A(\\& \\mathrm{UAO})$C8ERX8XmC8ECX8-cC8ERX8G-C8jmX8-CC8j jX8XmX8aac
平均日增重 @f s A ( &UAO)X8a-$X8XC^V$X8mE$\\mathrm{X8XC}^{\\mathrm{V}}$X8mc$\\mathrm{X8XR}^{\\mathrm{V}}$X8mK$\\mathrm{X8XR}^{\\mathrm{G}}$X8Em$\\mathrm{X8X-}^{\\mathrm{G}}$X8XKC
料重比 dAsR8X-X8--R8-KX8-cR8C-X8CKR8-aX8XaR8KCX8-RX8Kmm
"} {"image_path": "images/546bbd0ffea7aa45d7cd43ab0fd04404.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 月
(期末數字)
As at end of
牌照 --- 續
Licences --- cont'd
其他行業
Other business
YearMonth 商營浴室Commercial bathhouse 屠房Slaughterhouse 殯儀館Funeral parlour 殮葬商Undertaker of burial 厭惡性行業Offensive trade 泳池Swimming pool 酒牌Liquor
2017 58 3 7 123 11 1 246 7 656
2018 55 3 7 124 7 1 277 7 977
2019 51 3 7 125 7 1 309 8 218
201810 57 3 7 126 7 1 270 7 963
11 55 3 7 127 7 1 274 8 015
12 55 3 7 124 7 1 277 7 977
20191 54 3 7 124 7 1 279 8 038
2 52 3 7 123 7 1 282 8 054
3 53 3 7 123 7 1 284 8 046
4 53 3 7 123 7 1 291 8 033
5 53 3 7 123 7 1 292 8 086
6 53 3 7 123 7 1 294 8 094
7 52 3 7 124 7 1 298 8 066
8 51 3 7 124 7 1 303 8 168
9 46 3 7 124 7 1 310 8 192
10 51 3 7 125 7 1 308 8 210
11 51 3 7 125 7 1 308 8 220
12 51 3 7 125 7 1 309 8 218
"} {"image_path": "images/e1d207a387659b7813c1ed9699f91d2f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ruble (1976)64 Students inmanagement;sex composi-tion not statedYesNoSelf-planningvs. leaderdirectedNumber as-sembly ingroups ofthreeNumber of cor-rect assem-bliesNo direct effect ofI-E control. In-ternal groupsperformed bestunder self-plan-ning (SIG). Ex-ternal groupsperformed bestunder leader di-rection (Not SIG)I–E—planningstructure inter-action signifi-cant (F = 5.50,df = $1_1~12$,p<.05)
Weiss &Sherman(1973)41 Male unde-rgraduatesYesNoPrior failureon taskSolve mazesTime spent on amaze afterfailure on aprevious mazeI-E unrelated topretest perfor-mance. ( r = .04)I-E correlatedwith effort afterfailure (r =. 38,p<.05)
Yukl &Latham(1978)41 Female typistsNoNoParticipativegoal settingvs. assignedgoalsTypingNumber of linestypedNo relationshipbetween I-E andperformance im-provement ineither participa-tive(r = .06,n = 20) or as-signed goal con-dition(r = .19,n = 21)
"} {"image_path": "images/3764872cccfcf57d1ce5ea422c7dd94d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ligand % carbon % hydrogen % nickel μeff,BM
CalcdFoundCalcdFoundCalcdFound
n-$\\text{C}_4\\text{H}_9\\text{NH}_2$41.3041.349.579.038.428.363.23
i-$\\text{C}_4\\text{H}_9\\text{NH}_2$41.3040.289.579.258.427.29Paramag
n-$\\text{C}_8\\text{H}_{11}\\text{NH}_2$46.1645.9110.099.657.527.633.22
i-$\\text{C}_8\\text{H}_{11}\\text{NH}_2$46.1646.0610.099.667.527.483.19
n-$\\text{C}_6\\text{H}_{13}\\text{NH}_2$49.9949.6410.519.996.786.623.24
i-$\\text{C}_6\\text{H}_{13}\\text{NH}_2$49.9949.6410.5110.506.786.783.18
n-$\\text{C}_7\\text{H}_{15}\\text{NH}_2$53.1653.1210.7610.506.186.163.21
n-$\\text{C}_8\\text{H}_{17}\\text{NH}_2$55.6955.4911.1410.665.685.643.18
n-C1sHs7NH69.1569.3512.4812.34(4.49)a(4.60)²Paramag
"} {"image_path": "images/e247819d0903ee5cd675693e37b0a178.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HostGuest${ }^{\\mathrm{a}}$$K_{\\mathrm{a}}\\left(\\mathrm{M}^{-1}\\right)$$K_{(S)} / K_{(R)}$$\\begin{array}{l}-\\Delta G_{0} \\\\ \\left(\\mathrm{kJ} \\ \\mathrm{mol}^{-1}\\right)\\end{array}$$\\begin{array}{l}-\\Delta \\Delta G_{0} \\\\ \\left(\\mathrm{kJ} \\ \\mathrm{mol}^{-1}\\right)^{\\mathrm{b}}\\end{array}$
Azacrown(2)(S)-PEA$4.054\\times 10^{5}$11.9326.14
(R)-PEA$3.4\\times 10^{4}$(±0.229)26
(S)-PEAion$1.711\\times 10^{5}$3.03302.75
(±0.068)
(R)-PEAion$5.64 \\times 10^{4}$27
(S)-NEA$1.602 \\times 10^{5}$1.122290.43
(R)-NEA$1.428 \\times 10^{5}$(±0.033)30
(S)-NEAion$7.848\\times$$10^4$1.193270.30
(±0.015)
(R)-NEAion$6.576\\times$$10^4$28
"} {"image_path": "images/062ec384bc0ce213b35f6a786a6f429e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
長 宽 指 数
類 型
20.1~3030.1~4040.1~5050.1~6060.1~7070.1~80合 計
1. 弧刃類一般下寛型(I10)件 數
百分比
0
0
6
19.35
20
64.52
5
16.13
0
0
0
0
31
100.00
2. 弧彫類平頂下寬型(I11)件 數
百分比
1
5.00
2
10.00
6
30.00
7
35.00
3
15.00
1
5.00
20
100.00
3. 弧彌類束柄下寬型(I12)件 數
百分比
0
0
1
10.00
2
20.00
5
50.00
2
20.00
0
0
10
100.00
4. 弧刃類一般中寬型(I20)件 數
百分比
1
2.94
10
29.41
18
52.94
4
11.77
1
2.94
00 34
100.00
5. 弧刃類平頂中寬型(I21)件 數
百分比
0
0
5
15.63
18
56.25
9
28.13
0
0
0
0
32
100.00
6. 弧刃類束柄中寬型(I22)件 數0001012
7. 弧刃類束頭中寬型(I24)件 數0110002
"} {"image_path": "images/d328777e363bdc5fa980bc6772b82aac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$V_f$Carbon/vinylester$Aug.G_{12}$(GPa)
S1S2S3
01.31.151.231.22
101.451.61.81.616
202.322.462.362.37
30--2.752.75
403.113.03.133.08
503.293.43.263.316
603.733.63.753.75
"} {"image_path": "images/ffffd1c4bb09ffe00718b692d85729fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleSample Collecting siteTotal bacterialcount (CFU/g)Cadmium-resistant bacteriaLead-resistant bacteria
$500~\\mu \\mathrm{g} / \\mathrm{ml}$$1000~\\mu \\mathrm{g} / \\mathrm{ml}$$50~\\mu \\mathrm{g} / \\mathrm{ml}$$100~\\mu \\mathrm{g} / \\mathrm{ml}$
(CFU/g)Percentage ofresistant bacteria(CFU/g)Percentage ofresistant bacteria(CFU/g)Percentage ofresistant bacteria(CFU/g)Percentage ofresistant bacteria
Site 1Uncultivable land nearby Cachar Paper Mill(HPC-CPM) waste disposal sites, Assam, India.$20.0 \\times 10^{4}$$ 17.6 \\times 10^{4} $88.0$13.1 \\times 10^{4}$65.5$16.0 \\times 10^{4}$80.0$11.4 \\times 10^{4}$57.0
Site 2Agricultural field nearby River Barak, whereindustrial discharge and household waste areused for irrigation purpose in Cachar District,Assam, India.$ 11.3\\times 10^{4} $$ 9.2 \\times 10^{4} $81.4$ 7.0 \\times 10^{4} $61.9$ 8.5 \\times 10^{4} $75.2$ 6.3 \\times 10^{4} $55.8
Site 3Agricultural land area nearby a garage and awelding shop in Kathal point, Silchar,Assam, India.$14.0 \\times 10^{4}$$11.0 \\times 10^{4}$78.6$ 9.4 \\times 10^{4} $67.1$12.2 \\times 10^{4}$87.14$10.3 \\times 10^{4}$73.6
Site 4Cultivable land nearby petrol pumps inMeherpur, Silchar, Assam, India.$4.5 \\times 10^{4}$$ 3.7 \\times 10^{4} $82.2$ 3.2 \\times 10^{4} $71.1$ 3.5 \\times 10^{4} $77.8$2.2 \\times 10^{4}$48.9
Site 5Crop field having low productivity andextensive chemical fertilizer use inKatigorah, Assam, India.$17.0\\times10^{4}$$14.0 \\times 10^{4}$82.4$10.7 \\times 10^{4}$62.9$15.6 \\times 10^{4}$90.6$12.0 \\times 10^{4}$70.6
Site 6Agricultural land surrounded by a brick industrynearby NIT Silchar, Assam, India.$12.5 \\times 10^{4}$$ 7.3 \\times 10^{4} $58.4$ 6.0 \\times 10^{4} $48.0$10.4 \\times 10^{4}$83.2$ 7.6 \\times 10^{4} $60.8
Site 7Crop field nearby Narsingpur area, Assam, India.$4.8 \\times 10^{4}$$4.1 \\times 10^{4}$85.4$3.8 \\times 10^{4}$79.2$3.7 \\times 10^{4}$77.1$2.8 \\times 10^{4}$58.3
Site 8Silcore tea estate and tea factory, Assam, India.$15.0 \\times 10^{4}$$12.8 \\times 10^{4}$85.3$6.7 \\times 10^{4}$44.7$13.5 \\times 10^{4}$90.0$11.3 \\times 10^{4}$75.3
"} {"image_path": "images/45d1acd52a4141c0f0744a4348734758.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
变 压 器容 量千 伏 安根据綫卷电压而不同的相电阻的大約数值,欧
綫 卷 电 压測量时建議采用电流, 安綫 卷 电 压測量时建議采用的电流, 安
10千伏6千伏3千伏400伏230伏133伏
5180100500.1 2
1014080400.30. 120. 060. 042
2010050250.30. 080. 030. 022
306035200.50. 060. 02 0. 012
503520101.00. 030. 010. 0073
75201261.00. 010. 0080. 0043
10014841.00. 0080. 0050. 0035
13510631.00. 0080. 0050. 0035
1807422.00. 0060. 0030. 0015
2407422.00. 0040. 0025
3203213.00. 0030. 0025
"} {"image_path": "images/ee5eea27be3dc85e3b346d1b2deeb4ab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RectangularNormalExponential
nk$RP_{1}$$RP_{2}$$RP_{3}$$RP_{1}$$RP_{2}$$RP_{3}$$RP_{1}$$RP_{2}$$RP_{3}$
321.671.111.11 2.231.521.522.121.591.59
422.081.391.392.771.891.89 2.441.831.83
522.331.561.563.492.38 2.382.491.871.87
32.331.171.333.491.823.631.570.961.19
622.721.811.814.062.772.772.682.012.01
723.002.002.004.753.243.242.621.961.96
33.001.501.724.752.484.951.490.911.13
43.001.201.444.752.021.710.930.480.38
"} {"image_path": "images/8b7f2f413d934e64d0aa60aaba783578.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
InterferentsConcentration(mol·$L^{-1}$)Peak current of D-arabinitol
dopamine1.00 × $10^{-3}$69.0%
3.00 × $10^{-3}$55.3%
4.00 × $10^{-3}$almost disappeared
cysteine1.60 × $10^{-4}$82.3%
3.20 × $10^{-3}$58.7%
4.80 × $10^{-3}$almost disappeared
erythritol4.00 × $10^{-4}$84.4%
4.00 × $10^{-3}$almost disappeared
ascorbic acid1.00 × $10^{-3}$68.3%
3.00 × $10^{-3}$almost disappeared
fructose3.00 × $10^{-5}$116.0%
3.00 × $10^{-4}$163.5%
3.00 × $10^{-3}$538.6%
glycerol4.00 × $10^{-4}$1279.4%
4.00 × $10^{-3}$disappeared between0.00-0.55 V
arginine2.00 × $10^{-3}$46.5%
4.00 × $10^{-3}$18.6%
6.00 × $10^{-3}$almost disappeared
phenyl alanine5.00 × $10^{-4}$88.0%
4.50 × $10^{-3}$41.1%
tryptophan8.00 × $10^{-5}$85.6%
7.60 × $10^{-4}$143.5%
uric acidmannitol4.00 × $10^{-4}$almost disappeared
4.00 × $10^{-3}$923.7%
7.40 × $10^{-3}$1354.0%
"} {"image_path": "images/f64fac7c116549b779ff18f3051d23c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n\n\n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n\n
项目负责人联系电话
单位地址邮政编码
项目负责人姓名:性别:职务:联系电话:
预算科目类别1. 教育支出□ 2. 科学支出□ 3. 文体广播事业费□4. 科技三项费用□ 5. 其他□
项目类型1.专项计划项目□ 2.专项业务项目□3.大型修缮□ 4.大型购置□ 5.大型会议□ 6.其他□
项目起止时间开始时间年 月 日截止时间年 月 日
项目总投入金额万元其中:中央财政拨款万元
项目实际到位金额万元其中:中央财政拨款万元
项目实际支出金额万元其中:中央财政拨款万元
项目绩效情况介绍
"} {"image_path": "images/2aa0cfaacfd04dddd4160a39c850fdc3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
PesticideChemical designation
allethrinallethronyl chrysanthemate
Altosidsee ZR 515
Altozarsee ZR 512
BHT2,6-dibutyl- $\\beta$-cresol
bioresmethrin(NRDC 107)5-benzyl-3-furylmethyl (+)-trans-chrysanthemate
bromophos0,0-dimethyl 0-(2,5-dichloro-4-bromophenyl)phosphorothioate
chrysanthemic acidchrysanthemum monocarboxylic acid
cyanophos (cyanox)0,0-dimethyl 0-(p-cyanophenyl) phosphorothioate
C-237630,0-dimethyl 0-(2-methyl-2-methoxycarbonyl) vinylphosphorothioate
DDAbis (p-chlorophenyl) acetic acid
DDD1,1-dichloro-2,2-bis( $p$-chlorophenyl) ethane
DDE1,1-dichloro-2,2-bis(p-chlorophenyl) ethylene
DDT1,1,1-trichloro-2,2-bis(p-chlorophenyl) ethane
diazinon0,0-diethyl $0-(2$-isopropyl-4-methyl-6-pyrimidinyl)-phosphorothioate
dichlorvos (DDVP)dimethyl 2,2-dichlorovinyl phosphate
Dursban-methyl0,0-dimethyl $0-(3,5,6$-trichloro-2-pyridyl)phosphorothioate
fenitrothion0,0-dimethyl $0-(3$-methyl-4-nitrophenyl) phosphorothioate
joffenphos0,0-dimethyl 0-(2,5-dichloro-4-iodophenyl) phosphorothioate
JH-1methyl trans, trans, cis-10-epoxy-7-ethyl-3,11-dimethyl-2,6-tridecadienoate
kikuthrin5-(2-propynyl)-2-methyl-3-furylmethyl chrysanthemate
lindane$\\gamma$-isomer of 1,2,3,4,5,6-hexachlorocyclohexane
malaoxon0,0-dimethyl $\\mathrm{S}$-(1,2-dicarbethoxy) ethyl phosphorothiolate.
malathion0,0-dimethyl $\\mathrm{S}-(1,2$-dicarbethoxy) ethyl phosphorodithioate
malathion mono-carboxylic acid$0,0$-dimethyl S-(1-ethoxycarbonyl-2-carboxy)ethylphosphorodithioate
malathion dicar-boxylic acid$0,0$-dimethyl S-(1,2-dicarboxy)ethyl phosphorodithioate
NRDC 1563-phenoxybenzaldehyde cyanhydrin $((±)-\\alpha$-cyano-3-phenoxybenzyl alcohol) (+) cis-chrysanthemate
NRDC 161(S)-a-cyano-3-phenoxybenzyl cis(1R,3R),2,2-dimethyl-3-(2,2-dibromovinyl) cyclopropane carboxylate
PCCH$\\gamma-1,2,3,4,5$-pentachlorocyclohexene
phenothrin3-phenoxybenzyl-dl-cis,trans-chrysanthemate
phenthoate (Cidial)0,0-dimethyl S-ethoxycarbonylbenzyl phosphorodithioate
phoxim0,0-diethyl $0$-(phenylglyoxylnitrile oxime) phosphorothioate
phthalthrin3,4,5,6-tetrahydrophthalimidomethyl chrysanthemate
PH-60-381-(2,6-dichlorobenzyl)-3-(4-chlorophenyl) urea
PH-60-401-(2,6-difluorobenzyl)-3-(4-chlorophenyl) urea
piperonyl butoxide3,4-methylenedioxy-6-propylbenzyl-n-butyl diethyleneglycolether
ResmethrinRO-20-3600(Bowers' 2b)5-benzyl-3-furylmethyl (+)cis,trans chrysanthemate6,7-epoxy-3,7-dimethyl-1-(3,4-methylenedioxyphenoxy)- 2-nonene (mixed isomers)
RO-10-31086,7-epoxy-3-ethyl-1-(p-ethylphenoxy)-7-methylnonane(mixed)
TCB1,2,4-trichlorobenzene
tetrachlorvinphos(Gardona)$\\beta$-isomer of dimethyl (2-chloro-1-(2',4',5'-trichlorophenyl)vinyl phosphate
ZR 512ethyl 3,7,11-trimethyl dodeca-2,4-dienoate
ZR 515isopropyl $11$-methoxy-3,7,11-trimethyl dodeca-2,4-dienoate
"} {"image_path": "images/42073c65501f1a56f85ad7f6e63471a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n
no pre-processingmeancenteringauto-scaling
Raw SIMS Intensities
no. of latent variables of model543
SEV29.1835.0127.49
$r^2$ (predicted vs actual values)0.8190.820.941
SIMS Intensities Normalized to Unit Height
no. of latent variables of model552
SEV20.0317.9924.06
$r^2$ (predicted vs actual values)0.9550.970.917
"} {"image_path": "images/d51b2cbc851572249f16f7ab849ad7c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
顺 序 号项 目单位单 价镶 板
代 纱 门
无亮代亮
2526
预算价格2,707.972,448.90
其中:人 工 费\"195.94165.97
材 料 费\"2,416.492,194.74
机 械 费\"95.5488.19
(一) 制
1
2
木 工
其他用工
工日
\"
62.76
1.94
50.75
1.57
合 计工日2.0464.7052.32
3红白松一等薄板立方米208.671.3561.103
4红白松一等中小方\"198.774.2503.887
5框料二等中方\"136.472.2492.500
6红白松三等小方\"116.760.1770.200
7胶 合 板平方米2.01
8铁 纱\"1.6779.0068.00
9水 胶公斤2.196.255.26
10铁 钉\"1.211.000.90
11木材干燥费84.0974.85
12半成品运费\"29.0229.02
13其他材料费''2.001.70
14大专机械费95.5488.19
小 计1,944.791,793.97
"} {"image_path": "images/918545080f300cd6cd59ad5eb05cf1d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AcidMolecular weightCHO
%
Qleic acid(original285.974.710.015.3
74.410.015.6
Oleic acid oxidized without catalyst156.465.610.424.0
65.710.423.9
Oleic acid oxidized without catalyst and dehydrated1067.776.49.614.0
76.39.214.5
Oleic acid oxidized in presence of lead and manganese oxides50772.311.716.0
72.011.916.1
Oleic acid oxidized in presence of metal oxides and dehydrated712.575.511.113.4
75.911.113.0
Oleic acid oxidized in presence of metal oxides and pentaerythritol985 72.511.416.1
72.311.716.0
Oleic acid oxidized in presence o fmetal oxides and pentaerythritol,and then dehydrated695.776.410.313.3
76.710.612.7
"} {"image_path": "images/732fe4c1380ea8517116182007ab5755.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
被解释变量成长性风险转移动机F 检验 Hausman 检验LM 检验
Tobin' $Q_{i, t}$高成长性$ \\begin{array} { l l } { \\sigma _ { i , t } > 0 } \\\\ { \\sigma _ { i , t } < 0 } \\end{array} $1.84 ***1.2636.70 ***6.23 —17.30 ***
低成长性$ \\begin{array} { l l } { \\sigma _ { i , t } > 0 } \\\\ { \\sigma _ { i , t } < 0 } \\end{array} $1. 94 ***1. 2327.83 ***2.87 —12.99 ***
$Tobin'$ Q_70$_{i, t} $高成长性$ \\begin{array} { l l } { \\sigma _ { i , t } > 0 } \\\\ { \\sigma _ { i , t } < 0 } \\end{array} $2.15 ***1.78 ***56.94 ***15.35 ***$-$$-$
低成长性$ \\begin{array} { l l } { \\sigma _ { i , t } > 0 } \\\\ { \\sigma _ { i , t } < 0 } \\end{array} $2.11 ***1.49 ***37.51 ***9.78 *$-$$-$
$ Tobin' Q_−80_{ i, t} $高成长性$ \\begin{array} { l l } { \\sigma _ { i , t } > 0 } \\\\ { \\sigma _ { i , t } < 0 } \\end{array} $2.20 ***1.79 ***58.87 ***16.27 ***$-$$-$
低成长性$ \\begin{array} { l l } { \\sigma _ { i , t } > 0 } \\\\ { \\sigma _ { i , t } < 0 } \\end{array} $2.17 ***1.55 *** 8.28 ***10.66 *$-$$-$
"} {"image_path": "images/a1e3ebd129bd85555d650343a51aaab9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
病 原 体抗菌力病 原 体 抗菌力参考文献
金黄色葡萄球菌╂╂╂╂╂╂—卄—╂╂╂卄卄卄猪霍乱杆菌卄卄╂╂╂卄卄卄+——[3、4、43]
表皮葡萄球菌肠炎杆菌
溶血链球菌伤寒杆菌
绿色链球菌福氏痢疾杆菌
肺炎球菌宋内氏痢疾杆菌
卡他球菌斯密兹氏痢疾杆菌
莫根氏变形杆菌炭疽杆菌
大肠杆菌白喉杆菌
绿脓杆菌人型结核杆菌
许兰氏毛菌———————石膏样小孢子菌——+————[11]
石膏样毛菌犬小孢子菌
堇色毛菌奥杜盎氏小孢子菌
同心性毛菌絮状表皮癣菌
铁锈色毛菌白色念珠菌
红色毛菌紧密着色芽生菌
须癣毛菌星形奴卡氏菌
钩端螺旋体(黄疸出血型) 卄—鼠疟原虫 [45、109、153]
脊髓灰质炎病毒
"} {"image_path": "images/c19cd64169e1700188d175ad778ea404.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目增加原因生产能力或工作量投入生产时间需要增加人数尚缺人数要求进入时间备注
原有新增合计上期末已有生产准备人员计划内部调剂人数尚缺人数
总 计
× × 车 间
× × 产 品
"} {"image_path": "images/22240c082a690757475cb8014c5cf7d8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fraction No.Percent Cumulative weight percent$ I(P)\\times 10^{2} $D.P. obs.
13.503.501.75 70
28.0011.507.50166
35.2516.7514.12208
470.0086.7551.75260
58.5095.2586.75546
"} {"image_path": "images/93593f0e1d8f693e15b618b74d3ae5d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SAAm-MDRA-12m-MDRA-14
T (K)298.2303.2308.2313.2318.2298.2303.2308.2313.2318.2
$CMC~(mmol~L^{-1})$5.916.166.256.326.641.361.411.441.481.57
β0.5220.5050.4330.4240.3720.5200.4330.3930.3710.293
SAAm-MDRA-16m-MDRA-18BAC-12
T (K)298.2303.2308.2313.2318.2298.2298.2
$CMC~(mmol~L^{-1})$0.3240.3510.4060.4340.4510.0329.51
β0.3550.2990.2860.2300.2150.587
"} {"image_path": "images/a2a389fd238152e3bcd79967a4204498.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TEST
ParametersFYUBG
M = 30,M' = 10$\\alpha$ = 0.05$\\gamma = 0.0893$ $\\lambda_{\\mathrm{G}} = 0.21$
p0.10.00020.00020.00900.00270.0007
0.20.00680.00680.04480.02830.0147
0.30.01700.01700.04720.04110.0278
0.40.02290.02290.0549 0.04230.0361
0.50.02710.02710.06070.04210.0414
0.60.02760.02760.0593 0.04270.0427
0.70.02680.02830.0546 0.04390.0439
0.80.02230.02960.05700.04180.0418
0.90.01670:02710.0864 0.04060.0406
M = 30, M ' = 20$\\alpha$ = 0.05$\\gamma = 0.078$ $\\lambda_{\\mathrm{G}} = 0.14$
p0.10.00730.00330.03050.01570.0157
0.20.02310.01930.04400.03570.0357
0.30.02620.02280.04550.04500.0450
0.40.02790.02470.04850.04520.0452
0.50.02880.02720.05220.04500.0450
0.60.02890.03060.05150.04700.0470
0.7 0.02570.02970.05390.04740.0492
0.80.02520.03040.05400.04350.0499
0.90.01940.02660.05320.04070.0408
"} {"image_path": "images/5fbc799f6947b744f83920999605794c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Player1994 semester1995 semester1996 semester
Avg.price(variance) Avg.volume(variance) Avg.price(variance) Avg.volume(variance) Avg.price(variance) Avg.volume(variance)
Packer 178.727.878.757.878.148.0
(11.22)(6.0)(12.84)(2.2)(13.92)(4.2)
p-value for price: 0.601p-value for volume: 0.761
Packer 278.288.178.348.378.108.7
(12.08)(7.2)(12.48)(3.2)(14.48)(3.3)
p-value for price: 0.935p-value for volume: 0.381
Packer 378.5210.578.5010.678.2910.6
(11.30)(6.8)(12.41)(7.1) (12.35)(2.6)
p-value for price: 0.922p-value for volume: 0.993
Packer 478.7512.078.6811.678.6611.9
(11.53)(4.0)(11.48)(5.1)(10.38) (6.2)
p-value for price: 0.989p-value for volume: 0.548
All
Packers
78.6736.678.6636.878.4336.7
(11.06)(39.3)(11.73)(37.5)(11.11)(57.9)
p-value for price: 0.906p-value for volume: 0.983
"} {"image_path": "images/fb52efe70886310e8cae2a68ade580eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
q
$\\mathcal{\\beta }(H_{~pq)}$
p
12345
10.3160000
200000
3000.0200.2780
40000.3810
500000
$\\beta\\left(\\bar{H}_{q \\Lambda(q+1)}\\right)$000.0050
"} {"image_path": "images/1118cc4458b73b322b9c152f1a4c59a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
收 入 科 目合 计省(市、区) 级地(盟、州) 级县(旗)级支 出 科 目合计省(市、区) 级地(盟、州) 级县(旗)级
一、企业收人类
工业收入
建工企业收入
农林企业收入
铁道企业收入
交通企业收入
邮电企业收入
商业企业收入
粮食企业收入
供销社收入
其他企业收入
二、企业上交基本折旧基金类
三、各项税收类
工商税收
工商税
工商所得税
其他工商税
盐税
农牧业税
农业税
牧业税
四、其他收入类
一、基本建设拨款类
二、企业挖潜改造资金类
三、简易建筑费类
四、地质勘探费类
五、科技三项费用类
六、 流动资金类
七、支援农业支出类
八、工业交通商业等部门的事业费类
九、城市维护费类
十、城镇人口下乡经费类
十一、文化科学卫生事业费类
十二、抚恤和社会福利救济费类
十三、 民兵建设事业费
十四、人民防空经费
十五、行政管理费类
十六、其他支出类


本年收入合计本年支出合计
"} {"image_path": "images/ffaf3e7070498724b82cd68854c5ca51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
γYWM$L_1\\left(x_1\\right)$$L_2$$L_{4}\\left(x_{2}\\right)$$L_{5}\\left(x_{3}\\right)$$α_m$$φ_0$$L_0x$
-1224.089
24.389
1.398
1.474
17.237
16.483
184.662
198.413
221.559
237.588
152.965
95.508
80.001
138.161
115.95
104.40
25.22
-39.99
568.687
523.479
-2527.201.622
1.718
1.854
2.019
2.277
16.769
15.837
14.674
13.476
11.944
198.44237.588118.027
111.453
103.332
94.848
84.066
143.108
135.136
125.289
115.003
101.930
104.40-40508.902
504.795
499.697
494.374
487.619
"} {"image_path": "images/da569e56c6b8c08328281c950315169b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FAKULTÄT
REGELSTUDIENZEIT
STUDIENBEGINN
STUDENTENZAHL
LEHRENDE
STUDENTENBEITRÄGE
VORAUSSETZUNG
BEWERBUNG
"} {"image_path": "images/fb1272278cda590e7eba1b6be3ea64ba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FGSG ID*Gene name(alias)Protein functionMethodof gene$identification^†$Cerealhosts $\\ddagger$Point ofpathoge$narrest^{†‡}$In vitro$defects^{‡‡}$$DON~ production^{\\S}$(in vivo/in vitro)Tri6 elements$ in promoter^{§§}$$Reference/PHI-base ID^{§†}$
Cell rescue, defence and virulencedaf10146 genes deletedfrom end ofchromosome 1 incl.FGSG_00071 (tri1)FWCSA,SSNone/ NDBaldwin et al. (2010a)
FGSG_00007FGSG_00007Cytochrome P450monooxygenase (DONbiosynthesis)RWHyper-virulentIncreased DONin vitro3PHI:2393, Gardiner et al.(2009)
FGSG_10397FGSG_10397Unknown functionRWHyper-virulentIncreased DONin vitro3PHI:2394, Gardiner et al.(2009)
FGSG_03747NPS6Non-ribosomalpeptide synthetasefor biosynthesisof extracellularsiderophoresRWFPHI:1007
FGSG_04111PTC1Type 2C proteinphosphataseRWC RV(WC)SA2PHI:2326, Jiang et al. (2010)
FGSG_03538TRI10Regulatory proteinRWCReduced/NDPHI:2328, Seong et al. (2009)
FGSG_03543TRI14UnknownRW,MD, R V(M)H,SA,SSNone/WT1PHI:525 (Dyer et al., 2005)
FGSG_03537TRI5Trichodiene synthaseRW,MD, RV(M)H,SA,SSNone3PHI:44 (Proctor et al., 1995)
FGSG_03536TRI6Transcription factorRWDNonePHI:439 (Son et al., 2011b)
"} {"image_path": "images/70f3f7efbdd2cda1cec82b29ed0ec84b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model IMode lI
$E_1$αAB$n_i(T_c)$$E_1$αAB$n_i(T_c)$
$\\mathrm{SrCl}_{2}$1.91.6717.232.377.8%
2.675.522.4116.952.2%2.675.523.98154.333.6%
$\\mathrm{PbF}_{2}$1.443.614.056.183.4%
$\\mathrm{CaF}_{2}$3.010.414.3143.71.6%
"} {"image_path": "images/fd663b79c194525a5968d2d25c659021.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\frac{C_{\\mathrm{Ag}}^{\\mathrm{b)}}}{\\mathrm{moldm}^{-3}}$Solubilities $\\mathrm{of}^{\\mathbf{c})}$
BenzeneTolueneEthylbenzenePropylbenzene
$10^{-2} \\mathrm{~mol} \\mathrm{dm}^{-3}$${10^{-3} \\mathrm{~mol} \\mathrm{dm}^{-3}}$${10^{-3} \\mathrm{~mol} \\mathrm{dm}^{-3}}$ $10^{-4}~mol dm^{-3}$
01.54(1.00)3.43(1.00)1.02(1.00) 2.39(1.00)
0.021.62(1.05)3.60(1.05)1.07(1.05)
0.041.68(1.09)3.81(1.11)1.12(1.10)
0.052.66(1.11)
0.061.75(1.14)4.04(1.18)1.18(1.16)
0.081.82(1.18)4.23(1.23)1.24(1.22)
0.101.89(1.23)4.39(1.28)1.29(1.27)2.95(1.23)
0.153.35(1.40)
0.202.26(1.47)5.46(1.59)1.56(1.53)3.60(1.51)
0.302.65(1.72)6.51(1.90)1.87(1.83)4.46(1.87)
0.403.02(1.99)7.79(2.27)2.18(2.14)5.30(2.22)
0.503.50(2.27)9.30(2.71)2.52(2.47)6.43(2.69)
"} {"image_path": "images/78c973ab9fbe3381e15db6448a16b482.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
MethodPerformanceReliabilitySpeed
Simple patternComplex patternSimple patternComplex pattern
1/7 power law++++++++++++++++
Revised power law+++++++++++++++++
ANFIS method+++++++++++++
Persistence method+++++++++++
Cubic spline method+++++++++
VCEM++++++++++++++++++
"} {"image_path": "images/6348c9b25d0b3b6fc5433788aaae261b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
业 #时间项目 (一)
1949.7

%
(二)
1949.12

%
(三)
1950.12

%
(四)
1851.12

%
(五)
1952.12

%
工业商业合计户 数471100607+28.91038+119.81176+149.71252+165.8
从业人员327010032794660+42.3608+53.466377+94.5
资 金19,8610025.59+29.936.42+83.483.09+318.4118.5+498.4
户 数636100760+10.5820+28.9788+23.9826+29.5
从业人员173410017342447+41.12534+46.12816+62.4
资 金26.8210032.04+19.542.76+59.475.34+180.979.39+196
户 数11901001367+23.31856+67.41064+77.12078+87.4
从业人员501310050137113+41.87566+50.99193+83.4
资 金46.6810057.63+23.479.19+69.6158.44+239.3197,44+322.9
"} {"image_path": "images/3adbf10143a529d808edb6e7b21041c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LaufendeNr.Nr.NameAlterobunehelichAborteStigmata aus derAnamnese Stig-amAugenhintergrund
d. ElterndesKindes
1397Holzmann34nein0Bds., besonders linkstemporale Papillen-hälften abgeblasst.
14100Drosdowski20ja0Papillengrenzen aneinigen Stellen un-scharf.
15102Keitel22nein0
1682Schulz26,,00
1733Kroplin20,,Totales Leukomaadhaerens.
1858Schilo26jaPapillengrenzenz. T. nicht scharf.
19101Rauch24nein0
20105Dreyer25,,ohne Anamnese.
2198Rhode31,,Staphyloma posti-cum. Maculae cor-neae. PigmentarmerHintergrund. Myo-pie, 6 D.
2299Wagner35,,0
"} {"image_path": "images/bccd9df3a8932466cac3957940275f15.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T/K$\\alpha^{b}=0.1$$\\alpha^{b}=0.2$$\\alpha^{b}=0.3$$\\alpha^{b}=0.4$$\\alpha^{b}=0.5$
$x_3=0.017$$x_3=0.034$$x_3=0.050$$x_3=0.065$$x_3=0.080$
$\\rho/kg·m^{-3}$
298.15980.01004.61025.31031.41060.1
303.15975.71000.21021.01027.11055.9
308.15971.3995.71016.71022.71051.8
313.15966.9991.11012.31018.31047.6
318.15962.4986.51007.81013.81043.4
323.15957.8981.91003.31009.31039.0
328.15953.1977.3998.71004.8
333.15948.2972.5994.11000.1
338.15943.3967.7989.3995.4
343.15936.7962.8983.7
348.15931.3957.7
353.15
"} {"image_path": "images/6012ef7f10810042ef57ee8f51bd73b5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n
VITAMINSREACTIONKIND
A$B_1$$B_2$CExcEss $N_A$OH
I.U.I.U.Mg.S.B.U.Mg.Mg.AcidBase
275-5078.0230-50.09-.153.78......A la Goldenrod
...........................Duck EP
...........................Goose EP
500-100022-60.07-.1845-70.14-.215.5......Hen EP
500-100022-26.07-.0845-70.14-.215.50......Omelet, French
500-100022-26.07-.0845-70.14-.215.42......Omelet, plain
825-200045-53.14-.1697-165.29-.5011.00......Scrambled
400-110010-37.03-.11105-175.32-.534.07......Timbale
...........................Turkey EP
50-100 .15-.30 1.58 ......Whites
672-108435-50.11-.1538-96.14-.29...8.19......Yolks
"} {"image_path": "images/d60316160da304e35f90cf655a2476fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
区域国家数量国家名称官 方 语 言区域国家数量国家名称官 方 语 言
东南亚11东帝汶德顿语、葡萄牙语中亚5 哈萨克斯坦哈萨克语、俄语
菲律宾菲律宾语、英语吉尔吉斯斯坦俄语
柬埔寨高棉语塔吉克斯坦塔吉克语
老挝老挝语土库曼斯坦土库曼语
马来西亚马来语乌兹别克斯坦乌兹别克语
缅甸缅甸语
泰国泰语西亚20阿富汗波斯语、普什图语
文莱马来语
新加坡马来语、华语、泰米尔语、英语阿拉伯联合酋长国阿拉伯语
印度尼西亚印尼语阿曼阿拉伯语
越南越南语阿塞拜疆阿塞拜疆语
东亚1蒙古蒙古语巴勒斯坦阿拉伯语
南亚7巴基斯坦乌尔都语巴林阿拉伯语
不丹宗卡语、英语格鲁吉亚格鲁吉亚语
马尔代夫迪维希语卡塔尔阿拉伯语
孟加拉国孟加拉语科威特阿拉伯语
尼泊尔尼泊尔语黎巴嫩阿拉伯语
斯里兰卡僧 伽 罗 语、泰米 尔 语塞浦路斯希腊语、土耳其语
印度印地语、英语沙特阿拉伯阿拉伯语
"} {"image_path": "images/ce7485a23e53adccd2530382201308da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GDP
Defla.
Long
Gilts
City
Empl.
City
Empl.(%)
Total
Stock
New
Stock
Vacancy
Rate (%)
Nom.
Rent
Real
Rent
Effect.
Rent
Effect.
Rent (%)
Geom. mean7.10.7-2.9
Mean8.111.0.190.66.6169.77.032.612.39.0-2.5
Std. dev. 6.12.2.014.00.5149.64.814.13.42.919.4
Min1.57.9.17-7.56.016.01.812.07.74.4-41.6
Max26.114.7.228.07.4545.018.565.020.315.326.0
"} {"image_path": "images/6f727cab96deda932365c445a4a20f66.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ActivityService Time
3 minutes5 minutes10 minutes15 minutes30 minutes45 minutes1 hour 2 hours 3 hours4 hours
Sampling andReadings2222abc
Walks at 4.8 km(3 mi) per Hour1222
Climbs VerticalTreadmill (orequivalent1111111
Walks at 4.8km(3 mi) per Hour111222
Pulls 20-kg (45-lb)Weight to 5 ft30 times in2 minutes30 times in2 minutes30 times in2 minutes60 times in5 minutes60 times in5 minutes60 times in5 minutes
Walks at 4.8 km(3 mi) per Hour11123
Carries 23-kg (50-lb)Weight OverOvercast1 time in1 minute1 time in1 minute2 times in3 minutes4 times in8 minutes
Sampling andReadings2222
Walks at 4.8 km(3 mi) per Hour1334
"} {"image_path": "images/4a66577b1f1a1165ea447d471185f43d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n





綠青
棕紫
藍赭
紅黄


綠青
棕紫
藍赭
紅黄


綠青
棕紫
藍赭
紅黄


綠青
棕紫
藍赭
紅黄


綠青
棕紫
藍赭
紅黄


"} {"image_path": "images/2687257b62211b2c05b074ae14670a3c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n
m/z$D_{SD}$$D_{QC}$
(1)(4)Most stable ionsStable ions
1412.68236.10$^{-9}$0.0014375102.6161
1223.35546.10$^{-6}$5.43519.10$^{-8}$647.9251 $(\\mathrm{m}^{(1)}{ }_{122\\_b})$160.1236$(\\mathrm{m}^{(1)}{ }_{122\\_a})$309.571962$(\\mathrm{m}^{(1)}{ }_{122\\_c})$
1981.107.10$^{-8}$1.6107.10$^{-8}$50.5633$(m_{198\\_a})$55.1533$(m_{198\\_b\\_c})$
1074.631786.10$^{-8}$623.0136$(m_{107\\_a})$604.0433$(m_{107\\_b})$
1460.045302641104.1542 $(\\mathrm{m}^{(1)}{ }_{146\\_d})$65.4727 $(\\mathrm{m}^{(1)}{ }_{146\\_a})$4347.683 $(\\mathrm{m}^{(1)}{ }_{146\\_c})$214.58 $(\\mathrm{m}^{(1)}{ }_{146\\_b})$
2455.22738.10$^{-9}$517.9171 $(\\mathrm{m}^{(1)}{ }_{245\\_e\\_b})$
(2)(3)
1410.00190565.2183.10$^{-7}$102.6161
1220.082906$357.5431_{5} (\\mathrm{m}^{(1)}{ }_{122\\_b})$375.1961$_5$
1986.92.10$^{-6}$2.538.10$^{-11}$50.563355.1533
2729.2163.10$^{-8}$1.3376.10$^{-7}$58.4436$(\\mathrm{m}^{(2)}{ }_{272\\_a5\\_b})$40.80316$(\\mathrm{m}^{(2)}{ }_{272\\_a5\\_a})$
"} {"image_path": "images/712e2a47d912e52263eba378a8b9cde8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AtompairPredicted $\\pi$ bonding in $C_{ss}$ relative to $T_{ss}$$\\pi$ overlap populations
STO-4G4-31G
$C_{\\text{ss}}$$T_{\\text{ss}}$$C_{\\text{ss}}$$T_{\\text{ss}}$
$H_{1}-C_{2}$-0.36860.36940.38830.3904
$H_{1}-C_{3}$+-0.0060-0.0061-0.0094-0.0168
$H_{1}-C_{4}$--0.0032-0.0031-0.0036-0.0063
$H_{1}-C_{5}$+0.00000.00010.00030.0000
$H_{1}-H_{6}$+0.00040.00000.00030.0000
$C_{2}-C_{3}$+0.00490.0033-0.0164-0.0228
$C_{2}-C_{4}$--0.0015-0.0015-0.0069-0.0078
$C_{2}-C_{5}$+-0.00010.0000-0.00050.0000
$C_{2}-H_{6}$+0.00000.00010.00030.0000
$C_{3}-C_{4}$-0.19960.19850.27640.2731
$C_{3}-C_{5}$--0.0015-0.0015-0.0069-0.0078
$C_{3}-H_{6}$--0.0032-0.0031-0.0036-0.0063
$C_{4}-C_{5}$+0.00490.0033-0.0164-0.0228
$C_{4}-H_{6}$+-0.0060-0.0061-0.0094-0.0168
$C_{5}-H_{6}$-0.36860.36940.38830.3904
"} {"image_path": "images/8c861d376e0181dc7636ebf8b241e4b6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
合金牌号化 学 成 分, $\\%$用 途
主 要 成 分杂 质 , 不 大 于
总和
ZchPbSb
16—18—2
$ \\begin{array}{l}\\\\ 15.0\\\\ \\sim 17.0\\end{array} $1.5~2.0余量$\\begin{array}{l}15.0 \\\\ \\sim 17.0\\end{array}$0.1 0.080.10.1 0.5150~1200马力蒸汽涡轮机, 150~750#电动机和小于2000马力的起重机和重负荷的推力轴承等。
ZchPbSb
15—5—3
$ \\begin{array}{l}\\\\ 14.0\\\\ \\sim 16.0\\end{array} $2.5~3.0余量$\\begin{array}{l}5.0 \\\\ \\sim 6.0\\end{array}$$\\begin{array}{l}0.8 \\\\ \\sim 1.0\\end{array}$1.75~2.250.10.10.10.4船舶机械轴, 小于250 #发动机轴承。
ZchPbSb
16—10
14.0~16.0$\\begin{array}{l}0.1 \\\\ \\sim 0.6\\end{array}$余量9.0~11.00.10.10.10.0050.5性质较软,负荷压力较小,适用于中等压力的轴承,又适用于高温轴承。
ZchPbSb
15—5
14.0~15.5$\\begin{array}{l}0.5 \\\\ \\sim 1.0\\end{array}$余量4.0~5.50.10.10.10.10.010.75性质软柔,适用于低速度、轻压力机械轴承用。
$ \\begin{array}{l}\\mathrm{Zc} h \\mathrm{~PbSb} \\\\ 10-6\\end{array} $$\\begin{array}{l}9.0 \\\\ \\sim 11.0\\end{array}$$\\begin{array}{l}0.1 \\\\ \\sim 0.5\\end{array}$余量$\\begin{matrix} 5 . 0 \\\\ \\sim 7 . 0 \\end{matrix}$0.10.10.10.1 0.010.4 耐蚀、重载、耐磨性良好的轴承。
"} {"image_path": "images/d4db59f65a43a8436ad7733f67defc0d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
报 告 者对 象百 分 率
年 龄性别例数白细胞数/ cm m中性嗜 酸嗜 硷单 核淋巴浆细胞
浜田等60<M.F.485,10055.39.505.130.70
福 井71~83M.F.205,160
滝 川 等60<
60<
MF114
154
5,627
5,654
60.15
56.08
4.21
3.51
0.59
0.59
5.96
5 93
29.30
30.75
森 田60<M.F.205,985
前川, 衣笠60<M.F. 372(425) 6,480(6,689) 54.6(55.4) 3.1(3.2) 0.8(0.6) 6.8(5.3) 36.5(36.0) 0.B.(0.14)
日比野,浜田60<M.F.268 5,641(6,550)56.00.530.2
Olbrich61~88
61~88
MF44
48
7,020
7,050
71.84
67.9
2.3
1.9
0.5
0.6
2.3
1.8
22.9
27.0
Etienne et al. 80~96
80~96
MF2078,6807,37167.11.7500.7~2.01.0~2.124.85
Newman etal.65~104
65~104
MF50505050 8,330
8,170
65.3
67.2
0.6~3.5
1.0~2.0
0.3~1.0
.00~0.5
0.7~2.0
1.0~2.1
33.5
33.9
Fowler et al.65~85M.F.1007,22064.22.8<15.427.5
"} {"image_path": "images/852c35381b42bd82b0b36654778a20a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日 期班 期日 期班 期
1天津、潍坊、张店、博山、荷泽、新乡、青岛、威海16上海、潍坊、张店、黄县、莘县、济阳、青岛
2扬州、德州、黄县、无棣、临沂、保定17菏泽、阳谷、枣庄、阜阳、威海、德州、淮阴、临沂
3烟台、北镇、长清、莱阳、无锡、淮阴、沧州18烟台、北镇、莱阳、冠县、无锡
4潍坊、济宁、东阿19潍坊、济宁、茌平
5北京、菏泽、临清、商河、临沂20临清、临沂
6张店、莘县、济阳、青岛、泰安、兖州、无锡21临沂、张店、菏泽、新乡、淮阴、青岛、博山、泰安
7潍坊、阳谷、枣庄、禹城、阜阳、威海、德州22扬州、潍坊、德州、无棣、保定
8上海、烟台、北镇、冠县、天津、临沂23北京、烟台、北镇、长清、邹平、临沂、沧州
9济宁、菏泽、黄县、茌平24黄县、上海、济宁、东阿、临沂、淮阴
10潍坊、无锡、临清25潍坊、菏泽、临清、后屯、商河
11北京、临沂、张店、新乡、淮阴、青岛、莱阳、博山26张店、济阳、莱阳、青岛、天津、莘县、临沂、无锡
12德州、无棣、保定27阳谷、枣庄、禹城、阜阳、德州、保定
13烟台、潍坊、菏泽、北镇、长清、兖州、无锡28烟台、潍坊、荷泽、北镇、冠县、北京、兖州
14临沂、济宁、东阿29济宁、茌平、临沂、无锡
15后屯、天津、临清、枣庄30上海、临清
"} {"image_path": "images/e72a29c483535d5e45b3b0caf5631eaa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
River OuzelSamplesizeRiver Tarrant (hard) Dockens Water (soft)
Length(mm)Weight (g)Length(mm)Weight (g)Length(mm)Weight (g)
June$21·3 \\pm 0 ·88$$0·07 \\pm 0 ·006$66170·04--
July$28·2 \\pm 2 ·6$$0·19 \\pm 0·025$33270·17120·01
August$42·5 \\pm 1·8$$0·42 \\pm 0·05$72380·49220·07
September$52·9 \\pm 1·3$$1·15 \\pm 0·07$32490·96290·18
October$56·6 \\pm 1· 6$$1·4 \\pm 0 ·12$50521·24350·33
November$54·9 \\pm 1·6 $$1·1 \\pm 0·08$4153 1·31 39 0·46
"} {"image_path": "images/d4cce6cfb1123234fa86adcc04b5a8e4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OrbitalDescriptionR(HeH)PolarizationExponent
IPIIPIIIIV
11 2pzLCG (lobe) TOon He$\\infty$Not usedNot used4.94524.9704
3.5555.04335.0098
3.9555.03454.9991
4.3555.01604.9795
$\\infty$4.94524.9704
"} {"image_path": "images/05473133b956ee464a6b8137387a7f08.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PeriodOLS FMOLSDOLS
Australia1901-19692.3663***(0.2479)2.4319***(0.2843)2.4764***(0.2937)
1970-20090.2078(0.1272)0.2132*(0.1180)0.2018(0.1257)
Canada
1870-1904一0.3464***(0.1230)-0.3808(0.2560)-0.3724(0.3075)
1905-1969 1.1740***(0.1860) 1.2100***(0.2327) 1.223***(0.2450)
1970-20090.0848(0.1536)0.07780.15170.05200.1477
Chile1860-19450.4611***(0.1002)0.4492***(0.0942)0.4182***0.0954)
1946-20040.1778(0.1131)0.2589*(0.1445)0.2938**(0.1424)
Denmark1880-1907-0.2862*(0.1583)-0.1728(0.1553)-0.2159(0.1809)
1908-19680.9803***(0.1053)1.0514***(0.1283)1.0535***(0.1216)
1969-20090.6620**(0.2875)0.6838***(0.2212)0.6623***(0.2128)
Finland1882-19361.0289***(0.1602)1.1108***(0.1962)1.0912***(0.2046)
1937-1978- 0.0791(0.2198)-0.0392(0.1756)0.0364(0.1497)
1979-20090.1322(0.1846)0.1766(0.2081)0.2365(0.1838)
Italy1862-19380.7825***(0.1914)0.7359***(0.1682)0.7117***(0,1780)
1939-19770.2200(0.2053)0.3141*(0.1744)0.3780**(0.1529)
1978-20090.1329(0.1199)0.1556(0.1162)0.1493(0.1466)
Mexico
1917-19630.7163***(0.1989)0.6580***(0.2074)0.5890***(0.2116)
1964-20091.1311***(0.0881)1.1074***(0.1914)1.0395***(0.2161)
Sweden
1800-19240.2066***(0.0674)0.2333***(0.0599)0.2346***(0.0613)
1925-19680.8678***(0.1361)0.9059***(0.1777)0.9276***(0.1576)
1969-20090.9319***(0.1865)0.9947***(0.2450)1.0451***(0.2077)
UK1830-1884-0.7974***(0.0723)-0.7929***(01244)-0.7960* * *(0.1335)
1885-19721.8017***(0.2344) 1.8681* * *(0.2711)1.9030***(0.2744)
1973-2009$-0.1896_*$(0.0958)-0.1867**(0.0878)-0.2060**(0.0816)
US
1800-18910.2314(0.1704)0.2802(0.2726)0.3048(0.2891)
1892-19621.9175***(0.1810)1.9247***(0,2383)1.9312***(0.2465)
1963-20090.2407***(0.0477)0.2404***(0.0479)0.2103***(0.0503)
The values in parenthesis denote standard errors ***.** and * denote
"} {"image_path": "images/cfaaacaac3c826ff56660d66f9c77a79.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n\n\n\n
ScaleMale to femaleFemale to male
CMGMMPDLTHMM + WDLTCMGMMPDLTHMM + WDLT
$2^4$4.2713.8633.7983.7465.1704.6124.5694.475
$2^5$4.1523.8123.7463.6694.9914.5424.5054.338
$2^6$4.0483.7643.6823.5744.87354.4734.4254.222
$2^7$3.9753.6923.5993.4544.7684.3764.3154.073
"} {"image_path": "images/341272ecdc709ea5f76bbfe980e7ae1d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
凭证摘要借方贷方余额
工资办公费差旅费折旧费$\\cdots ~ \\cdots$合计
1372031现现现转1254购买办公用品发放工资报销差旅费计提折旧费5 5006003002 1006005 5003002 100
本月发生额5 5006003002 1008 5008 5000
"} {"image_path": "images/955f45f351802ac444ac0df2a3b599b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
t (sec)
$\\alpha_{2}t$
0.001
0.02
0.010
0.20
0.020
0.40
b0.51.01.50.51.01.50.51.01.5
$x$$\\theta_{2}/\\theta_{0}$$\\theta_{2}/\\theta_{0}$$\\theta_{2}/\\theta_{0}$$\\theta_{2}/\\theta_{0}$$\\theta_{2}/\\theta_{0}$$\\theta_{2}/\\theta_{0}$$\\theta_{2}/\\theta_{0}$$\\theta_{2}/\\theta_{0}$$\\theta_{2}/\\theta_{0}$
00.9260.8550.8320.6850.6340.6160.4960.4570.445
0.20.8950.8260.8050.6650.6150.5980.4790.4420.430
0.40.8060.7450.7250.6050.5520.5380.4310.3980.386
0.60.6670.6150.6040.4950.4560.4440.3580.3300.322
0.80.4820.4440.4320.3570.3290.3220.2580.2380.232
1.00.2650.2440.2380.1970.1820.1770.1420.1310.127
"} {"image_path": "images/14f62ad6dfc54ce42f1cc01565647da1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基因座中国人群数据AABB(2008)
总减数分裂次数/万次突变次数/次平均突变率95$\\%$CI下限95$\\%$CI上限总减数分裂次数/万次突变次数/次平均突变率95%CI下限95%CI上限
FGA 4.8612 101 0.20780.16720.248333.5042 724 0.21610.20040.2318
vWA 5.1449 100 0.19440.15630.232534.4707 664 0.19260.17800.2073
D18S51 4.8124 87 0.18080.14280.218832.2344 537 0.16660.15250.1807
Penta E 3.0423 54 0.17750.13020.2248/ /
D21S11 4.8065 85 0.17680.13920.214434.4288 519 0.15070.13780.1637
CSF1PO 4.7929 79 0.16480.12850.201219.8216 241 0.12160.10620.1369
D8S1179 4.7769 68 0.14240.10850.176234.6723 419 0.12080.10930.1324
D2S1338 1.6060 22 0.13700.07970.194214.4836 127 0.08770.07240.1029
D3S1358 4.6385 46 0.09920.07050.127834.2765 334 0.09740.08700.1079
D7S820 4.5467 45 0.09900.07010.127920.6725 155 0.07500.06320.0868
D19S433 1.5345 15 0.09780.04830.147215.2291 102 0.06700.05400.0800
D16S539 4.6946 39 0.08310.05700.109134.2908 269 0.07840.06910.0878
D5S818 4.6946 38 0.08090.05520.106720.5858 219 0.10640.09230.1205
D13S317 4.8319 30 0.06210.03990.084320.8801 234 0.11210.09770.1264
Penta D 3.0423 14 0.04600.02190.0701//
TH01 3.6112 8 0.02220.00680.037533.3451 19 0.00570.00310.0083
TPOX 2.5081 3 0.01200.00000.025520.5918 22 0.01070.00620.0151
"} {"image_path": "images/98afd34857f41342aba5a91bff8f15cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A(1,i)1,4931.3241.2071.1350.929
A(2,i)0.7950.6450.5480.4990.388
A(3,i)0.1550.122$0.977 \\times 10^{-1}$ $0.779\\times 10^{-1}$ 0.965 $\\times 10^{-2} $
A(4,i)$ -0.749\\times 10^{-2} $$ -0.862\\times 10^{-2} $$ -0.959\\times 10^{-2} $$-0.102 \\times 10^{-1}$-0,552 $\\times 10^{-2} $
A(5,i)$ 0.818\\times 10^{-3} $$ 0.900\\times 10^{-3} $$ 0.102\\times 10^{-2} $$ 0.119\\times 10^{-2} $0.984 $\\times 10^{-3} $
A(6,i)$ -0.446\\times 10^{-4} $$ -0.524\\times 10^{-4} $$ -0.639\\times 10^{-4} $-0.832 $\\times 10^{-4} $-0.906 $\\times 10^{-4} $
A(7,i)$ 0.171\\times 10^{-5} $$ 0.200\\times 10^{-5} $$0.253 \\times 10^{-5}$ $0.362\\times 10^{-5}$ 0.479 $\\times 10^{-5} $
A(8,i)$ -0.434\\times 10^{-7} $$ -0.489\\times 10^{-7} $$ -0.619\\times 10^{-7} $ $-0.958\\times 10^{-7}$ -0.147 $\\times 10^{-6} $
A(9, i)$ 0.643\\times 10^{-9} $$ 0.685\\times 10^{-9} $$ 0.853\\times 10^{-9} $0.141 $\\times 10^{-8} $0.241 $\\times 10^{-8} $
$A(10, i)$$-0.415 \\times 10^{-11}$$ -0.416\\times 10^{-11} $$ -0.502\\times 10^{-11} $ $-0.875\\times 10^{-11}$ $-0.163 \\times 10^{-10}$
i =0.180 MeV0.241 MeV0.294 MeV0.350 MeV0.607 MeV
12345
0.8620.8110.7750.757 0.7350.6950.602
0.3580.3310.304 0.287 0.2670.2180.171
$-0.180 \\times 10^{-1}$$ -0.381\\times 10^{-1} $$ -0.498\\times 10^{-1} $$ -0.541\\times 10^{-1} $-0.593× $\\times 10^{-1} $$ -0.620\\times 10^{-1} $$ -0.565\\times 10^{-1} $
-0.108 × $\\times 10^{-3}$$ 0.466\\times 10^{-2} $$ 0.799\\times 10^{-2} $$ 0.947\\times 10^{-2} $0.112 $\\times 10^{-1} $$ 0.130 \\times 10^{-1} $$ 0.126\\times 10^{-1} $
0.326 × $\\times 10^{-3}$$ -0.324\\times 10^{-3} $$-0.824 \\times 10^{-3}$$ -0.106\\times 10^{-2} $-0.135 $\\times 10^{-2} $$-0.168\\times 10^{-2} $$-0.169 \\times 10^{-2}$
-0.42 × $\\times 10^{-4}$$ 0.106\\times 10^{-4} $$ 0.541\\times 10^{-4} $$ 0.760\\times 10^{-5} $0.102 $\\times 10^{-3} $$0.135\\times 10^{-3} $$ 0.139\\times 10^{-3} $
0.260 × $\\times 10^{-5}$ $0.865\\times 10^{-5}$ $-0.225 \\times 10^{-5}$-0.343 $\\times 10^{-5} $-0.483 $\\times 10^{-5} $$-0.668\\times 10^{-5} $$ -0.705\\times 10^{-5} $
-0.872 × $\\times 10^{-7}$$ -0.117\\times 10^{-7} $$ 0.572\\times 10^{-7} $0.939 $\\times 10^{-7} $0.138 $\\times 10^{-6} $$ 0.197\\times 10^{-6} $$ 0.212\\times 10^{-8} $
0.152 × $\\times 10^{-8}$$ 0.325\\times 10^{-9} $$ -0.806\\times 10^{-9} $-0.142 $\\times 10^{-8} $-0,215 $\\times 10^{-8} $$-0.318\\times 10^{-8} $$ -0.345\\times 10^{-8} $
-0.107 × $\\times 10^{-10}$$-0.288 \\times 10^{-11}$$0.479 \\times 10^{-11}$0.902 $\\times 10^{-11} $0.141 $\\times 10^{-10} $$ 0.212 \\times 10^{-10}$$0.233 \\times 10^{-10}$
0.766 MeV0.933 MeV1.120 MeV1.238 MeV1.379 MeV1.761 MeV2.198 MeV
6789101112
"} {"image_path": "images/d7671685bdacd11452213b5674151100.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
投保人年齢 ( 一 )$ 1000( 到期 )( 二 ) 二十年為必賠之期,年賠五十元,自後受益人生存,續賠不絕。受益人先死保費低減至
受益人年龄
202530354045505560 65以上
20$ 16.0015.5115.0414.6214.2613.8713.5113.2413.0412.89 12.8312.72
2519.0017.6417.0716.6316.2115.8215.4415.1214.9214.7814.7114.55
3021.8020.2919.5919.0418.6018.0917.7017.3717.1216.9916.9316.70
3525.4523.8122.9722.2721.7021.1220.6020.2720.0019.8319.7719.49
4030.2528.6927.5426.6825.9025.1324.5424.0523.7723.5823.5023.17
4536.5035.2933.8132.5631.5430.4729.6529.0728.6528.4528.3427.96
5045.1044.6342.6640.9739.4338.0036.8035.9535.4235.1134.9934.55
5546.5057.3954.8852.5050.3248.1746.5045.2244.3943.9743.7843.28
6072.7075 6672.4369.2966.3163.0360.4358.5357.2356.5556.2755.69
"} {"image_path": "images/b31875d65bfb00eb5103f87f16c40f15.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n
ModelsAustriaBelgiumDenmarkFinlandFranceGermanyIrelandItalyNetherlandsNorwaySwedenSwitzerlandU.K.U.S.Overall RMSEMedian
$\\text{NMI}(g_{t+1,p} = 0)^{\\text{a}}$2.912.592.783.392.652.694.023.273.324.152.293.032.303.793.082.78
$\\text{NMI}(g_{t+1,p} = g_t)^{\\text{a}}$2.823.533.562.342.202.912.854.263.571.981.873.913.693.893.103.56
$\\text{NMI}(g_{t+1,p} = \\text{past average value})^{\\text{a}}$3.113.013.052.883.083.852.353.983.871.762.434.482.623.093.043.08
$\\text{AR(3) model}^{\\text{a}}$3.162.982.962.582.473.102.294.343.351.752.224.243.213.012.983.01
Case 1, canonical correlation (AR model)2.842.922.952.292.363.342.294.373.421.772.054.143.183.092.932.94
$\\text{AR(3) Li model}^{\\text{a}}$2.711.732.733.372.522.282.803.40
Case 2: canonical correlation2.40$1.97^b$2.483.03$2.36^b$2.242.543.10$2.97^b$1.562.142.872.472.122.452.44
"} {"image_path": "images/c212a040213328d9fa37a00bb1f8ec2c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GeologyAgeProfileSPT (N value)Depth to basement (m)Number ofwells/soundings
Extreme valuesAverageExtreme valuesAverage
Holocenic depositsHolocenePN1
ALV1
3-31

17

3.5-31.6

14.8

45

Odiáxere GravelsPleistoceneOD1
FRA2
Ludo FormationPlio-QuaternaryLG2
LGA1
POR1
24-44


34


2-25


16


22


Mem Moniz fossiliferous limestonesUpper MioceneTUN117-45316.5-2718.417
Lagos-Portimão $Formation^{\\mathrm{a}}$Middle-Lower MioceneALV2
ALB1
LG1
FRA1
8-60



25



0.5-31



11.8



72



"} {"image_path": "images/9fa74daed454e45ff12084d98e0e1f1a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GradeTerminalVelocityDiameterMassLength
112.9(1.19)18.65(3.58)11.18(5.40)56.73(8.53)
215.83(0.94)28.5(1.64)29.02(6.88)103.0(28.8)
317.53(1.22)40.08(2.83)71.48(19.57)119.1(10.48)
423.8(0.42)5227(1.32)173.02(10.97)153.7(2.83)
"} {"image_path": "images/7a67bd6c841e0ca256df406cd46b0fe2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
unique charges atomsinitial guessed coordinationsoptimized coordinations
xyzxyz
X0.00.0000000000.0000000000.000000000.0000000000.0000000000.000000000
Mo42.02.0080000000.0000000000.000000002.01909905620.0000000000.000000000
S16.04.0500000000.0000000001.570000004.05374279960.0000000001.563488600
Mo42.05.0500000001.7320508080.000000005.03228418921.78564781910.000000000
S16.07.0500000001.7320508081.580000007.09446618531.94572088371.5442911731
Mo42.08.0500000000.0000000000.000000007.78115297460.00000000000.000000000
Mo42.08.0500000003.4641016160.000000007.75519011683.75031724780.000000000
S16.0-2.0700000000.0000000001.52000000-1.98854305780.00000000001.5207509155
Mo42.0-4.0500000000.0000000000.00000000-4.00168558120.00000000000.000000000
S16.0-5.050000000-1.7320508081.58000000-5.0281134032-1.69932171011.5029488830
Mo42.0-7.050000000-1.7320508080.00000000-7.1703682594-1.56654082930.000000000
S16.0-8.0500000000.0000000001.59000000-8.04646802470.00000000001.6284634915
S16.0-8.050000000-3.4641016161.59000000-7.9967901598-3.27660320091.5719535610
"} {"image_path": "images/0aad9d4bfb7e3b26d972d8d434284d7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
3000BC2500BC2000BC1500BC1000BC
$ \\text{ Balgatheran} 4\\text{(2)} $4.864.89---
Knowth4.9----
"} {"image_path": "images/fdf56c44d193789442d5a07bb34969a3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Number*AtomStructure aStructure b
XYZXYZ
1C0,00000,00000,00000,00000.00000,0000
2C0,0000-1,54000,00000,0000-1,54000,0000
3H-1.0275-1,90380,0000-1,0275-1,90380,0000
4H0,5137-1,90380,88980,5137-1,90380,8899
5H0,5737-1,9038-0,88980,5137-1,9038-0,8899
6H-0,51230,37170,8874-0,51100,37870,8851
7H-0,51230,3717-0,8874-0,51100,3787-0,8851
8H1,41871,01120,80131,8961-0,28630,0046
9O1,34430,48770.00001,34090,49690,0000
10O3,18201,94241,28293,6924-0,1802-0,8371
11O2,55092,15492,24023,16280,85730,9150
12O1,45691,75802,31653,34601,63070,0600
"} {"image_path": "images/434c31834a993fd12cd3841d88c58c59.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RutterBScaleNewcastleneuroticsubscaleNewcastleantisocialsubscale JEPIneuroticismIsolationRejection
Total weightedscore0·55*0·44*0·51*0·24*0·28*0·19*
Rejection0·20*0·18*0·16*0·010·29*-
Isolation0·21*0·25*0·17*0·03--
JEPI neuroticism0·010·11*0·02---
Newcastleantisocial0·89*0·47*----
subscale
Newcastle0·77*----
neurotic
subscale
"} {"image_path": "images/ee99958363722c4b7e526fa46cab4407.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n
ABC
1
2序号品种名称与
3001冠益乳
4002
5003
6004
7005
8006
9007
"} {"image_path": "images/beb7e7562c6c2e0f337d35b2e17c1fdc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号科、室、组名称研究、生产、应用元器件大类名称负责人主要科技人员
加速度传感器组变磁阻式、变电容式刘世锋
速度传感器组变电感式、电磁感应式范世方孟卯生
胡广明
五室感传器研究组压电石英压力传感器应变式压力传感器李来贤和瑞堂
殷德盛
18中国人民解放军89766部队洛阳市041信箱
19机械工业部洛阳轴承研究所五室洛阳市涧西区延安路韩新民电话:22627
电挂:6519
20机械工业部洛阳拖拉机研究所洛阳市涧西区
21机械工业部洛阳矿山机械研究所洛阳市涧西区重庆路科研成果及产品:磁信号检测装置电话:22733 22728
电挂:3157
测试技术研究室测力用传感器和液压传感器、振动和噪声感器张盛林
工程师
高庆恩
工程师
王椿荫
董学文
储佳章
工程师
工程师
工程师
自动化室磁信号检测装置裘国城
工程师
董桂宣
工程师
窦毓堂
付清方
王安仔
高工
工程师
工程师
22洛阳市气动技术研究所洛阳市七里河电话:2631
23洛阳炼油设计研究院设备研究所洛阳市
24电子工业部第二十二研究所技术科新乡市138信箱电话:53912
电挂:2525
"} {"image_path": "images/db41d720af3dc28543a5eb5d6b1b4d75.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
β$P_{r \\theta}~(q)$
$\\theta_{1}~=~0$ $\\theta_{1}~=~0.5$ $\\theta_{1}~=~\\theta_{2}~=~0.5$ $\\theta_{1}~=~0.5$ $\\theta_{1}~=~0.8$ $\\theta_{1}~= ~\\theta_{2}~=~1$
$\\theta_{2}~=~0.5$ $\\theta_{2}~=~0$ $\\theta_{2}~=~0.8$ $\\theta_{2}~=~0.5$
0-1.291 20.008 8-0.857 866 6-0.880 088 8-0.071 342 22-0.791 2
1-1.132 010.007 715 06 -0.752 102 2-0.771 584 7 -0.625 466-0.693 654 7
2-1.007 765 80.006 868 29 -0.669 554 4-0.686 898 6 -0.558 173-0.617 752 1
3-0.980 9670.006 189 01 -0.603 334 7-0.618 962 6 -0.501 747 4-0.556 448 3
4-0.826 368 0.005 632-0.549 043 46-0.563 256 8 -0.456 590 2-0.506 368
5-0.758 135 70.005 166 97 -0.503 710 15-0.516 749 4-0.418 890 1-0.464 557 7
6-0.700 311 80.004 772 88 -0.465 283 6-0.477 336 3-0.386 940 8-0.429 125 4
7-0.650 683 40.004 434 64-0.432 310 7-0.443 509 3-0.359 519 8-0,398 749
8-0.607 623 50.004 141 17-0.403 701 9-0.414 159 4-0.335 728 1-0.372 329 4
9-0.569 908 90.003 884 13-0.378 644 5-0.388 453-0.314 888-0.349 219 3
10-0.536 602 50.003 657 14-0.356 516 0-0.365 751 2-0.296 487 1-0.328 810 3
11-0.506 974 2 0.003 455 21-0.336 831-0.345 556 3-0.280 116 7-0.310 655 2
12-0.480 446 50.003 274 41-0.319 206 2-0.327 474 9 -0.265 459 4-0.294 4
13-0.456 556 90.003 111 60-0.303 334-0.311 191 6-0.252 259 7-0.279 761 3
14-0.434 930 50.002 964 21-0.288 965 6-0.296 450 9-0.240 310 6-0.266 509 4
15-0.415 260 30.002 830 15-0.275 896 8-0.283 043 6-0.229 442 3-0.254 456 2
100-0.085 722 80.000 542 32-0.056 953 8-0.058 429 1-0.047 364 1-0.502 527 8
1000-0.009 117 030.000 062 132-0.006 057 31-0.006 214 21-0.005 037 4-0.005 586 5
"} {"image_path": "images/192f3867181bc7d576847d4d854a9943.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别药 名性 味功 效剂 量
攻盛水母“ 下守!\"i电祛法大黄
芒稍
器海叶
芦茎
峰小子
H谨
苦寒
辛成苦大寒
世苦大寒
苦寒
苦寒有考
葛寒有尊
攻积导滞、泻火凉血
泻热通便
泻热导滞
泻热通便、杀虫凉肝
得水消肿、祛痰逐饮、杀虫攻乱
泻水逐饮、消肿敷结
8~9克
3~9克
1.0~4.6克
1~2.6克
3~4克
1.5~8充
火醉
郁李
蜂窗
甘平
芒甘平
甘平
润肠通便, 泌养补虚
润肠通便、利水谁肿
滑肠通使, 润肺补中、解再缓念
9~15克
3~9克
9~30克

肉 :
干兴
煨姜
炮芸
高以美
晃茱英
毕澄茄
丁香
小应香
大空人热有离
辛甘大热
辛温
辛温
辛苦大热
辛热
辛苦大热
辛温
辛温
字温
回阳教逆、温益脾督、散寒止患
益气补督、温中止泻、散寒止痛,
温中利阳、温肺化爽
温中山呕、温里止病
温中止海, 温经止血
温中祛亲、1脘腹痛
温中止角、降逆止呕、兼杀蛲虫
温中敢寒, 行气止痛
温中降逆, 温经止痛
理气止确、 调中和胃
8~9克
1~8克
1.5~4,5克
2~3片
1.p~4.5克
3~9克
1.6~4,65
1.6~4,%克
1.6~4.6克
3~9克
中H!,快网药币循安朋码兴辛角
石次时
珍珠母
天麻
构族
白蒺柴
格衣
代帮石 

覆壳
全戴
蜈蚣
咸塞
成寒
成计寒
E
甘效寒
个苦薇温
ti平
各寒
威寒
成辛平
辛平有感
辛温有牵
平肝熄风, 清热明目
平盯潜阳、请热明日
平肝潜阳, 明日安神
平肝炮风、通络止痛
平肝烧风, 清热镇停
平肝蔬肝、祛风明目
养血平肝, 除热止干
平肝止血、所镇降逆
清热煌风, 通络祛风、平喘利尿
熄风解痉, 化痰散结
熄风解痉、祛风止庸
祛风解痉、通络止痛
0.9~1克
15~30克
16~80克
3~9克
9~16克
3~9克
6~9克
0~80克
3~9克
3~9克
1~3克
1~3克
进石
龙肾
牡蛎
琥玷
辛寒
甘涩平
成涩微寒
甘罕
重镇安神、益肾灌闭、纳气平喘
重镇安神, 平肝潜阳, 收敏固配
重镇安神、平肝滞阳、收敏软坚
重镇安神、利水化路
15~30克
16~30克
16~30克
1~1.6克
养心安神期酸枣仁
柏了仁
远志
夜交藤
合欢皮
小麦
秫米
鸡子黄
甘酸平
甘辛平
苦辛温
甘平
1平
#平
甘薇寒
甘平
养心安神, 益阴故开
养心安神、润肠遗便
宁心安神、祛痰消痈
养心安神、养血通络
养神活血、活血解郁
养心安神
和胃安神
养心安神, 益阴补中
9~16克
9~16克
3~4.5克
9~30克
9~15克
16~30克
9~L6克
1~2枚
"} {"image_path": "images/7ce78feab9b637ab6f1939bce222ddf3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号日 期地 震伴 随 现 象备 注
震中位置(名 称)震级M深度H地 下 水 气体释放喷水冒砂其它
流量水温水质浑浊
721930.11.26.伊豆半岛北部(北伊豆地震)7.0静冈、小松町等城镇: 喷水
731930.12.20. 广岛县三次及邻区6.020 三次:井水干涸或变浑浊,没记录到井水增加现象
741931.2.17. 北海道浦河及邻区6.840 北海道新冠河河口附近: 19日发现有许多鱼死在海滩上
751931.3.9. 青森县东南海岸7.6 青森县汤川温泉: 泉水短时变浑浊,水量增加
761931.9.21. 埼玉县中部
(西埼玉地震)
7.010

20
形成大范围地裂缝和观测到喷砂、喷水现象 (有些地方高达1.2米) , 砂子呈蓝、褐和黑色, 大多为石英和长石的混合物。 广大地区的井水变浑浊、水量增加
771933.3.3. 东北地区东部近海8.3 官城县沿海村如本吉郡大岛村、唐桑村和岩手县气仙郡越 喜 来 村, 下闭 伊
"} {"image_path": "images/581c408e171109d427d001f6a184eb04.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品代码产品名称产品单位产品说明
2911020 其中: ☆子午线轮胎外胎子午线轮胎外胎≥汽车子午线轮胎外胎+专用车辆子午线轮胎外胎。胎体帘线层的排列与胎周方向垂直正交,与径向成零度,像地球子午线的排布;子午胎具有很好的耐磨性、防刺性、缓冲性,在行驶中振动较少,节油,舒适;主要缺点是胎侧薄、刚性低,变形大,使用中侧向稳定性较差、爬坡性和制动性欠佳,成本较高。
2911021 其中: ○汽车子午线轮胎外胎
2911022 ○专用车辆子午线轮胎外胎
2911050摩托车充气橡胶轮胎外胎用于摩托车上的充气轮胎外胎,按轮径一般可分为普通摩托车轮胎外胎和小轮径摩托车轮胎外胎,按国家质量标准统计产量
2920010塑料制品◇塑料制品≥塑料薄膜+塑料管、板、型材+塑料丝、绳及编织品+生物降解塑料+泡沫塑料+塑料人造革、合成革+日用塑料制品+其他塑料制品。包括非降解塑料制品和降解塑料制品。
2921010其中: ◇塑料薄膜Δ塑料薄膜≥农用薄膜。指非泡沫塑料薄膜,包括塑料复合膜;不包括泡沫塑料膜,也不包括降解塑料薄膜。
2921020其中: △农用薄膜
2922010 ◇塑料管、板、型材△塑料管、板、型材≥PET瓶。指各种塑料板、管及管件、棒材、薄片等生产活动,以及以聚氯乙烯为主要原料,经连续挤出成型的塑料异型材的生产活动。
2922011其中:△PET瓶现在流行的塑料瓶主要是由PET制成。PET(Polyethlenferephthalat, 聚对苯二甲酸乙醇酯 )是聚酯类。PET塑料瓶一般用在食品包装上。
2922020 ◇塑料丝、绳及编织品指塑料制丝、绳、扁条,塑料袋及编织袋、编织布等。
2922030◇塑料零件指塑料制绝缘零件、密封制品、紧固件,以及汽车、家具等专用零配件。
2922040 ◇生物降解塑料生物降解塑料又称生物分解塑料,指在自然界如土壤和/或沙土等条件下,和/或特定条件如堆肥化条件下或厌氧消化条件下或水性培养液中,由自然界存在的微生物作用引起降解,并最终完全降解变成二氧化碳 $\\left(\\mathrm{CO}_{2}\\right)$ 或/和甲烷 $\\left(\\mathrm{CH}_{4}\\right)$ 、水 $\\left(\\mathrm{H}_{2} \\mathrm{O}\\right)$ 及其所含元素的矿化无机盐以及新的生物质的塑料。
2924010 ◇泡沫塑料不包括降解泡沫塑料。
2925010 ◇塑料人造革、合成革包括箱包、服装、鞋、篷盖、灯箱、汽车、体育器材、家具等各种用途的塑料人造革、合成革;不包括塑料铺地制品。
"} {"image_path": "images/102701e0d8d1c7852ed782434eb1e5e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Molecule4-31G*6-31G* or 6-31G**
$P_2$E=-680.7077-681.4245
ZPVE=0.00220.0021
PP=1.8451.859
$P_{4}\\left(T_{d}\\right)$E=-1361.4855-1362.8999
ZPVE=0.00690.0070
PP=2.1902.174
$P_2H_2~(C_{2h},~trans)$E=-681.8515-682.5739
ZPVE=0.01910.0194
PP=1.9902.004
PH=1.4141.408
HPP=95.5°96.2°
$P_2H_2~(C_{2v},~cis)$E=-681.8450-682.5683
ZPVE=0.01890.0191
PP=1.9952.012
PH=1.4111.408
HPP=100.6°101.0°
$P_2H_4~(C_{2h},~trans)$E=-683.0382-683.7588
ZPVE=0.03780.0380
PP=2.2462.231
PH=1.4081.405
$P_2H_4~(C_2,~gauche)$E=-683.0385-683.7605
ZPVE=0.03800.0383
PP=2.2322.214
PH=1.405, 1.4051.403, 1.404
$P_4H_4~(C_{2h},~trans)$E=-1363.7532-1365.1852
ZPVE=0.04140.0418
PP=1.990, 2.2442.005, 2.221
PH=1.403, 1.4061.402, 1.403
PPP=101.3°103.4°
PPH=94.3°, 98.6°95.1°,100.6°
HPH=94.7°96.1°
$P_4H_6~(C_3)$E=-1364.9387-1366.3736
ZPVE=0.06030.0609
PP=2.2242.212
PH=1.405, 1.4071.403, 1.406
PPP=101.5°103.6
HPH=94.4°95.8°
"} {"image_path": "images/3f24f5598c27d60d68cfe59a46238ab8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Phosphorus~ ligand ~PR_{1}R_{2}R_{3}$CatalystcyelesYield, %
$R_{1}$$R_{2}$$R_{3}$3PB1PB3PO1PO
$OC_6H_5$$OC_6H_5$$OC_6H_5$7410121860
$C_6H_5$$OC_6H_5$$OC_6H_5$809132255
$C_6H_5$$C_6H_5$$OC_6H_5$6229221633
$C_6H_5$$C_6H_5$$C_6H_5$36719712
$C_6H_5$$C_6H_5$$OC_2H_5$452746819
$C_6H_5$$OC_2H_5$$OC_2H_5$482545921
$OC_2H_5$$OC_2H_5$$OC_2H_5$802135931
$C_6H_5$$C_6H_5$$OCH_{3}$6721341232
$C_6H_5$$OCH_{3}$$OCH_{3}$514728818
$C_6H_5$$O-n-C_4H_9$$O-n-C_4H_9$592241927
$C_6H_5$$O-i-C_3H_7$$O-i-C_3H_7$5423411026
$(O(4-OCH_3C_6H_4))_3$669172152
$CH_3$$CH_3$$CH_3$36741384
$CH_3$$OC_6H_5$$OC_6H_5$344439413
$C_2H_5$$OC_6H_5$$OC_6H_5$5113232143
"} {"image_path": "images/fbf0d00baf4e1f79e61f82ce6e400fa2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号项 目指 标
单 位 方 案
IIIIV
1运行人员数
2占地面积$\\text{米}~^2$
3有效占地面积$\\text{米}~^2$
4场地利用系数
5设备利用系数(时间利用系数)
6总安装功率
7初投资总计
其中设备及安装费土建费
万元
万元/年
8年运行费:
其中折旧
工人工资
燃料和润滑材料消耗


9运一吨煤的成本元/吨
10土石方工程量$\\text{米}~^3$
11三材消耗:钢材
木材
水泥


"} {"image_path": "images/bf07d796f88945de080abda8083356b8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
-0.5400-0.5415-0.5430-0.5445-0.5460-0.5475-0.5490-0.5505-0.5520-0.5535-0.5550
-0.8340-2.82-3.21-2.260.930.93-0.23-8.172.221.491.6-0.03
-0.8355-2.26-2.64-2.64-1.04≤.371.37IE'1-0.870.870.87-0.7
-0.83702.533.21-3.219--1.043.610.750.870.70.7-0.19
-0.8385-7.37-9.62-6.57-2.643.614.523.610.29-1.310-4.79
-0.8400-7.37-8.22-6.57-1.180.754.230.75-2.25-2.27-2.91-6.91
-0.8415-4.17-4.84-4.17-1.81-0.670.00-1.96-1.96-3.74-5.085.08
-0.8430-4.17-4.17-3.63-1.811.812.29-2.29-1.96-1.96-3.27-3.27
-0.8445-4.14-4.17-3.86-3.632.79-4.64-4.78-0.84-1.4.49-3.27
-0.8460-3.14-3.63-3.86-3.63-3.13-4.18-4.780.040.04-1.41-2.33
-0.8475-4.144.494.494.64-3.86-6.04-1.723.553.55-0.41-2.33
-0.8490-3.33-5.67-6.28679-2.66-2.08-1.72-1.790-1.79-3.73
"} {"image_path": "images/6b49664cab92682e9d5d54678a9b4c5f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n
$N_1$$N_2$$T$IGMMGMM
$\\alpha$(SD)$\\beta_1$(SD)corr $f$(SD)corr $\\lambda$(SD)$\\alpha$(SD)$\\beta_1$(SD)
1020300.7714
(0.0353)
0.9816
(0.0362)
0.9739
(0.0084)
0.8806
(0.0149)
0.9066
(0.0231)
1.3341
(0.0295)
1020500.7878
(0.0223)
0.9971
(0.0248)
0.9784
(0.0045)
0.9276
(0.0087)
0.8910
(0.0161)
1.3301
(0.0241)
2030300.7668
(0.0245)
0.9832
(0.0204)
0.9897
(0.0040)
0.8810
(0.0085)
0.9016
(0.0157)
1.3274
(0.0177)
2030500.7882
(0.0128)
0.9976
(0.0142)
0.9926
(0.0015)
0.9288
(0.0048)
0.8955
(0.0097)
1.3303
(0.0129)
"} {"image_path": "images/17e40d2781a8fdbff39ceee77540c046.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PROCESS TECHNIQUE-TOOLS APPLICABILITY
Acquisition CASE Tools All Sectors
Requirements Definition Languages & Notations Defense
Design Metrics Financial
Code & Test Privacy Medical
Integration Process Improvement Nuclear
Maintenance & Operations Reliability Process Control
Configuration Management Safety Scientific
Documentation Security Shrink-wrap
Project Management Software Reuse
Quality Assurance Vocabulary
Verification & Validation Other
"} {"image_path": "images/6b0621cfbdcdb21923c5c26f738bee57.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesCoefficientp value
$\\Delta CASH\\times CASH_{t-1}$-0.9056<.0001
NET_FINANCING0.0330.1488
LEVERAGE-0.3995<.0001
$LEVERAGE\\times\\Delta CASH$-1.2565<.0001
INST_HOLD0.0612<.0001
$INSTHOLD\\times\\Delta CASH$0.1736.2075
INST_HOLD0.2306.0260
INST_HOLD0.1143.1843
IST_ANALYST COVERAGE0.0094.0140
IST_ANALYST COVERAGE $\\times$0.1293.0313
$\\Delta CASH$
IST_ANALYST COVERAGE $\\times$0.0299.4903
$\\Delta(\\mathsf{CA}-\\mathsf{CASH})$
IST_ANALYST COVERAGE $\\times$-0.0538.1228
$\\Delta$ LT_ ASSET
Industry and year dummiesYes
Clustering by firmYes
N32,735
$\\text{Adiusted R}^2$$19.87 \\%$
F-test for IST_ANALYST.0822
$ COVERAGE \\times \\Delta C A S H>$
IST_ANALYST COVERAGE $\\times$
$\\Delta(CA-CASH)$
F-test for IST_ANALYST$<.000 1$
$COVERAGE \\times \\Delta C A S H>$
IST_ANALYST COVERAGE $\\times$
$\\Delta$ LT_ASSET
"} {"image_path": "images/39ae32ced0a811dbc37b2e35fbff76b0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Preparation
conditions
Temp. (℃), time( h )
Resistivity
(ohm.cm)
Specific
surface area
$(m^2/g)$
Specific
gravity
$(g/cm^3)$
$LaCrO_3$1100,3010~$10^1$4.15.7
$LaMnO_8$1100,13$10^{-1}$~$10^0$3.26.1
$LaFeO_3$1100,44$>10^7$1.76.2
$LaCoO_8$1100,92$10^{-1}$~$10^0$2.96.4
$LaNiO_3$850,96$<10^{-3}$4.16.0
$CaFe_{0.9}Cr_{0.1}O_8$1300,40.66.2
$LaFe_{0.9}Mn_{0.1}O_8$1300,41.16.3
$LaFeO_3$1300,44.3~5.6×$10^{5}$0.76.3
$LaFe_{0.95}Co_{0.05}O_3$1300,42.0~3.7×$10^{5}$1.36.1
$LaFe_{0.9}Co_{0.1}O_3$1300,41.4~2.6×$10^{5}$1.86.2
$LaFe_{0.85}Co_{0.15}O_8$1300,42.8~4.1×$10^{4}$1.76.1
$LaFe_{0.8}Co_{0.2}O_8$1300,42.8~3.8×$10^{4}$1.95.9
$LaFe_{0.9}Ni_{0.1}O_8$1300,40.55.8
$La_{0.9}Sr_{0.1}FeO_8$1300,46.2
$La_{0.9}Sr_{0.1}Fe_{0.9}Co_{0.1}O_3$1300,46.7
$La_{0.9}Ce_{0.1}FeO_8$1300,46.1
$La_{0.9}Ce_{0.1}Fe_{0.9}Co_{0.1}O_8$1300,46.4
"} {"image_path": "images/73f0987f1c2e4252afd9abd86e2617bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ENTERNUMBER OF OBSERVATIONS FOR LINE OR CURVE # 1 ? 7
ENTERX,YPAIR# 1?0,1.87
ENTERX,YPAIR# 2? 1,3.12
ENTERX,YPAIR# 3?2,3.5
ENTERX,YPAIR# 4? 3,3.44
ENTERX,YPAIR# 5? 4,2.87
ENTERX,YPAIR# 65,1.87
ENTERX,YPAIR# 7? 6,1.12
"} {"image_path": "images/fe00d1394cb9774b9d04450eb83f8232.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
System$R_e$$D_e$
$H_2$-$N_2$$\\bar{V}$3.695.57
V$^{H}$3.448.80
V$^{X}$3.507.00
$V^{T_a}$3.664.23
$V^{T_b}$4.052.50
V$^{L}$3.808.77
V$^{S45}$3.853.53
$N_2$-$N_2$$\\bar{V}$4.039.66
V$^{H}$3.828.44
V$^{X}$3.7611.1
V$^{T}$4.0313.1
V$^{L}$4.772.61
V$^{S45}$4.0712.3
"} {"image_path": "images/5b4337d399af71d1d1be284f83b4e15a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PERIOD891011121314
MONTHAUGSEP OCTNOYDECTOTALPERCENT
INCOME2000200020002000200023000
MORTGAGE 600600 600 6006006007200.313043
LIT ES 8550 50501001401030.044783
TELEPHON7575 75757575900.039130
LIFE INS 1151151151151151380.06
FODD3503503503503504200.182609
CLOTHING12)1201201201201440.062609
SAV INGS176.667176.667176.667176.667176.66721210.00.092174
LEISURE473.333513.333513.333463.333423.3334730.00.20565
SAVING
CAR INSU320,013913
RATE4.305.055.816.577.33
100.001212.111393.821576.301759.531943.536673.53
"} {"image_path": "images/52db4e063215cb6e1ca6bbbe79bb5e6b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工程名称丝绸之路新疆段重点文物保护项目交河故城抢险加固工程验收部位西墙内侧
施工单位敦煌研究院文物保护技术服务中心项目经理
施工执行标准名称及编号设计图纸专业工长
主 控 项 目规范规定(设计要求)施工单位检查评定记录监理(建设)单位验收记录
12345678910
1PS溶液浓度设计要求
2PS+C 浆液配比设计要求
3粉土材质设计要求
一 般 项 目规范规定(设计要求)施工单位检查评定记录监理(建设)单位验收记录
12345678910
1裂缝口 PS 溶液喷洒设计要求
2PS+C 浆液封闭裂隙设计要求
3预埋塑料灌浆管设计要求
4裂隙灌浆设计要求
施工单位检查
评 定 结 果
项目专业质量检查员: 年 月 日
监 理(建 设)单位
验 收 结 论
监理工程师: 年 月 日
(建设单位项目专业技术负责人)
"} {"image_path": "images/512d2061f996e7077042fc93d174b7d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
付款期1%2%$2~~^1/_2%$ %3%4%5%6%8%10%12%14%
21⋅⋅⋅⋅⋅⋅⋅⋅⋅18.85717.01116.18515.41514.02912.82111.76410.0178.6497.5626.687
22⋅⋅⋅⋅⋅⋅⋅⋅⋅19.66017.65816.76515.93714.45113.16312.04210.2018.7727.6456.743
23⋅⋅⋅⋅⋅⋅⋅⋅⋅20.45618.29217.33216.44414.85713.48912.30310.3718.8837.7186.792
24⋅⋅⋅⋅⋅⋅⋅⋅⋅21.24318.91417.88516.93615.24713.79912.55010.5298.9857.7846.835
25⋅⋅⋅⋅⋅⋅⋅⋅⋅22.02319.52318.42417.41315.62214.09412.78310.6759.0777.8436.873
26⋅⋅⋅⋅⋅⋅⋅⋅⋅22.79520.12118.95117.87715.98314.37513.00310.8109.1617.8966.906
27⋅⋅⋅⋅⋅⋅⋅⋅⋅23.56020.70719.46418.32716.33014.64313.21110.9359.2377.9436.935
28⋅⋅⋅⋅⋅⋅⋅⋅⋅24.31621.28119.96518.76416.66314.89813.40611.0519.3077.9846.961
29⋅⋅⋅⋅⋅⋅⋅⋅⋅25.06621.81420.45419.18816.98415.14113.59111.1589.3708.0226.983
30⋅⋅⋅⋅⋅⋅⋅⋅⋅25.80822.39620.93019.60017.29215.37213.76511.2589.4278.0557.003
40⋅⋅⋅⋅⋅⋅⋅⋅⋅32.83527.35525.10323.11519.79317.15915.04611.9259.7798.2447.105
50⋅⋅⋅⋅⋅⋅⋅⋅⋅39.19631.42428.36225.73021.48218.25615.76212.2339.9158.3047.133
"} {"image_path": "images/249c3fc9710301797f910c4ca2d3b567.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
[AcCoA][Asp] = 0[Asp] = 0.5[Asp] = 1.5[Asp] = 5[Asp] = 7.5
$K_m$n$K_m$n$K_m$n$K_m$n$K_m$n
0.0410.81.0424.51.5157.81.32129.41.31249.81.22
0.122.61.149.81.3610.61.2843.11.4173.61.45
0.21.61.124.81.3718.51.4422.31.5840.01.47
0.60.681.041.11.312.41.397.31.5012.11.59
1.00.400.850.641.361.31.453.21.916.31.47
Mean n ± σ       1.04 ± 0.10   1.38 ± 0.07   1.38 ± 0.07   1.54 ± 0.20   1.44 ± 0.12
"} {"image_path": "images/f36edb3a5aaa8b5db5eb45497c4498b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
能源名称计量单位年初库存购 进 量消 费 量年末库存
合 计工业生产消费 非工业生产消费
原 煤52642 132481312894841289484048885
煤制品000000
液化天然气 ( 液态 )000000
汽 油217117296761
煤 油012121200
柴 油299358234563238218366
润滑油033300
电 力万千瓦时06120177004767542500
能 源合计吨标准煤10492101048473737
"} {"image_path": "images/01de4699ad571bec2db3fb165e0eae4c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年度水 电 站火电装机容量(千 瓦)年末水火电装机容量(千瓦)
3000以上500-3000100-500100以下新建合计弃置电站年末累计数
千瓦千瓦千瓦千瓦千瓦千瓦千瓦
1949 年前120014422442244244
1956104348
19571401403284104388
1958-19590.52 000116052626.502 422102 7066743 380
1960-19691.57 56041 5855657351 18845.510 99098154612 88164013 521
1970-197864 620183 8301003 68012412 130243 14414621 8671 95123 818
1979-1988530 5601511 320173 465234586045 8035811 11614856 5542 00058 554
合计740 1232517 5254181 121645 62823771 3859115 075
投资(万元)550 62417 4751 085.1582.448 921.27
"} {"image_path": "images/329e45d4c1351af052f2c444846b25c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterNotesValueUnits
Half-reaction time, $t_{0}$(a)2.3msec
Electron frequency, $f$(b,d)$10^{15}$$sec^{-1}$
Electron kinetic energy, $E$(b,d)1ev
Barrier height,($V-E$)(b)1 0.14ev
Barrier width, $a$ or $a_{0}$ (c,e)29 76A
Vibrating mass, $M$(b)$10^3$ $10^5$ $10^3$ $10^5$at. wt.
Vibrating frequency, $v$(c,f)$\\ge 1 \\ge 0.1 \\ge 0.5 \\ge 0.05$$\\mathrm{cm}^{-1}$
Constant in equation (6), $K$(c)$\\le 8 \\le 0.8 \\le 2 \\le 0.02$$10^{-3}$
Hook's law constant (linear)(c)$\\ge 0.06 \\ge 0.06 \\ge 0.015 \\ge 0.015$$\\mathrm{N~m}^{-1}$
Room temp amplitude of vibration(c,g)$\\le 4 \\le 4 \\le 8 \\le 8$A
$t_{o}-t_{o}$(c)$\\le 20 \\le 2 \\le 6 \\le 0.6$$\\mu $sec
"} {"image_path": "images/115c809568c4de62b37050401b4577fe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\text{No.}$Substituents Chemical shift, ppm $\\Delta\\delta.= \\delta_2 - \\delta_1,$$\\mathrm{ppm}$ $\\mathrm{p} K_{\\mathrm{C}}[12]$$(\\mathrm{H}_2\\mathrm{O})$σ[13]
without$${\\mathrm{Et}_{3} \\mathrm{~N}, \\delta_{1}} $$$with~\\mathrm{Et}_{3} \\mathrm{~N},$$\\delta_{2}$
13,4 -Dimethy14,628,243,6210,32-0,24
24 -Methy14,928,703,7810,14-0,17
33,5- Dimethy15,128,983,8610,15-0,14
4 $4 -\\mathrm{Fluor}$ 5,149,734,599,95$0,06$
$(0,005)^*$
53 - Methy15,209,103,9010,08-0,07
64- Chloro5,289,804,689,380,23
74 - Methoxy5,258,182,9310,21-0,27
(-0,13)
8Without substituent5,429,453,739,980
93 - Methoxy5,548,603,069,65-0,12
10 $3 - \\mathrm{Nitro}$ 6,0211,305,288,400,71
114 - Carbethoxy-11,36$8,47^\\ddagger$0,52
(0,64)
11,580,52
124 - Acetyl$(6,20)^{\\dagger}$$(10,84) ^{\\dagger}$$(4,64)^{\\dagger}$8,05(0,84)
134 - Nitro-12,24-7,150,78
(1,24)
"} {"image_path": "images/de91b49ef64a1830878c488c2bf56c79.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
中文名学名养殖对象?
平胸龟科Platysternidae
平胸龟属Platysternon
平胸龟P. megacephalum
龟科Emydidae
乌龟属Chinemys
大头乌龟C. megalocephala
黑颈乌龟C. nigricans
乌龟C. reevesii
盒龟属Cistoclemmys
黄缘盒龟C. flavomarginatus
黄额盒龟C. galbinifrons
闭壳龟属Cuora
金头闭壳龟C. aurocapitata
百色闭壳龟C. mccordi
潘氏闭壳龟C. pani
三线闭壳龟C. trifasciata
云南闭壳龟C. yunnanensis
周氏闭壳龟C. zhoui
齿缘摄龟属Cyclemys
齿缘摄龟C. dentata
地龟属Geoemyda
地龟G. spengleri
拟水龟属Mauremys
黄喉拟水龟M. mutica
花龟属Ocadia
花龟O. sinensis
锯缘摄龟属Pyxidea
锯缘摄龟P. mouhotii
眼斑龟属Sacalia
眼斑水龟S. bealei
四眼斑水龟S. quadriocellata
陆龟科Testudinidae
四爪陆龟属Agrionemys
四爪陆龟A. horsfieldi
"} {"image_path": "images/e73c3fece5cbbee2c15cba1adb314461.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
性別Sex居住情況Living arrangement1991199620012006
F獨居Living alone4,75012,00015,00013,000
只與父母同住Living with parent(s) only4,6008,90010,0009,000
$\\begin{aligned}&\\text{與配偶及/或子女同住}^{(2)}\\\\&\\text{Living with spouse and/or child(ren)}^{(2)}\\end{aligned}$4,0008,0009,5009,500
$\\begin{aligned}&\\text{其他}^{(3)}\\\\&\\text{Others}^{(3)}\\end{aligned}$3,2003,7503,7603,500
總計Total4,2508,0008,8468,500
M獨居Living alone5,00010,00014,00012,500
只與父母同住Living with parent(s) only5,0008,90010,0009,000
$\\begin{aligned}&\\text{與配偶及/或子女同住}^{(2)}\\\\&\\text{Living with spouse and/or child(ren)}^{(2)}\\end{aligned}$6,50011,00013,00012,500
$\\begin{aligned}&\\text{其他}^{(3)}\\\\&\\text{Others}^{(3)}\\end{aligned}$5,0009,50011,00010,250
總計Total6,00010,00012,00010,800
"} {"image_path": "images/829d9d5bf54e794d95be95cef52dc1c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n
檢正、正都檢
起居舍人中書舍人右正言
糾正省務。同右爲所遷官,實不任職。同右領他職不預諫諍者。
罷之,其職歸左右司、給事中、中書舍人。記天子言動。 掌行命令爲制詞, 分治六房而判後省之事。同右
宋會要輯稿,職官三之四六
"} {"image_path": "images/bfe94d530c5e9d7ee23658bb48905971.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Budded cellsSurvival after heat shock
Experiment 1Experiment 2Days
Hoursspa2-7Wild-typespa2-7Wild-typespa2- $\\Delta 1$Wild-type
%%%%%%
088740.010.010.010.020
27.560279.0187.713.51
473427345522422
712917396935843
ntntntnt42924
"} {"image_path": "images/c64d1f923896374a8c51370a7f588369.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
标准B/GD/KHIKILMN
频率VHF/UHFVHF/UHFUHFVHF/UHFVHF/UHFUHFVHF/UHFVHF/UHF
每图像行数625625625625625625525625
场频 Hz5050505050506050
行频 Hz1562515625156251562515625156251575015625
$行同步脉冲宽度\\mu \\mathrm{s}$4.74.74.74.74.74.75(4.7)5
$行消隐脉冲宽度 \\mu s$12121212121210.8(11)10.9
$前肩\\mu s$1.51.51.51.51.51.51.9(1.75)1.9
场消隐期 行25252525252519至2119至25
视频带宽 MHz5655.5664.24.2
射频频道宽度 MHz$7(\\mathrm{~B}) / 8(\\mathrm{G})$8888866
图像伴音载波间隔 MHz+5.5+6.5+5.5+6+6.5±6.5+4.5+4.5
残留边带宽 MHz0.750.751.251.25 .1.251.250.750.75
图像载波与频道+1.25+1.25+1.25+1.25+1.25+1.25+1.25+1.25
最近边缘间隔 MHz
射频同步电平%100100100100100<6100100
射频消除电平%7375757675307575
射频白电平(残留载波)$\\%$1012.5102010100(110)1010
图像调制类型 C3F负极性 C3F负极性 C3F负极性 C3F负极性 C3F负极性 C3F正极性 C3F负极性 C3F负极性
伴音调制类型F3EF3EF3EF3EF3EA3EF3EF3E
频偏 kHz±50±50±50±50±50-±25±25
$预加重\\mu s$5050505050-7575
图像、伴音功率比10:1至20:110:1至5:15:1至10:15:110:110:110:1至5:110:1至5:1
"} {"image_path": "images/49da77ca47cbb38a38e54e1379f5f536.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n
材 料
底层中层面层底层中层面层底层中层面层底层中层面层
环氧树脂100100100100100100100100100100100100
液体丁腈121212121212
液体丁羧151515151515
聚 酰 胺303030303030
二乙烯三胺999999888888
氧化铝粉15151515
80~100目混合钢砂>400>400>400>400
铁 红30303030
二硫化钼粉25252525
"} {"image_path": "images/06a72be9c1b73109ee29fe4401d5e53b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Auditory ItemsAssoci-ationSequenc-ingSerialMemoryRapid Rate Sequencing Auditory ItemsAssoci- ationSequenc-ingSerial MemoryRapid Rate Sequencing
1.250 msec tonesNS.02.01(M5).05
4. 40 msecba/da.001NS.02(M3)NS2. 75 msectonesNS.001.02(M4).05
5. 80 msecba/da.001NSN/ANS
6. real ba/daNS.01N/ANS
9. 40 msecbae/dae.05NSN/AN/A
17. 80 msecbae/dae.01NSN/AN/A
15. ConceptGen./Seg-mentation.02NSN/A.01
Non-AuditoryItemsNon-AuditoryItems
21. Visualletter(e \\& k)NS.01.05(M3)NS18. Cross-modalNS.01.001(M3).001
19. Visual huesNS.05 .01(M3).01
20. Visual non-sense letters.05.02.01(M3).01
"} {"image_path": "images/2c6fef303ba96d8588a24119421a8fd6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Networktype Mainfactor Subfactor DistributionMean finalweight $(\\mu)$A-D testK-S testChi-sq test
Test valueP-valueTest valueP-valueTest valueP-value
GravityPFAG
$\\vdots$
Lognormal
$\\vdots$
0.035
$\\vdots$
0.364
$\\vdots$
0.327
$\\vdots$
0.107
$\\vdots$
0.259
$\\vdots$
8.722
$\\vdots$
0.033
$\\vdots$
IQLogistic0.0750.7780.0220.1300.05410.6670.031
OFFR
$\\vdots$
Lognormal
$\\vdots$
0.048
$\\vdots$
0.519
$\\vdots$
0.107
$\\vdots$
0.119
$\\vdots$
0.144
$\\vdots$
2.889
$\\vdots$
0.409
$\\vdots$
MSWeibull0.0750.8850.0520.1470.0837.1670.067
EFST
$\\vdots$
Lognormal
$\\vdots$
0.039
$\\vdots$
0.197
$\\vdots$
0.872
$\\vdots$
0.091
$\\vdots$
0.601
$\\vdots$
1.722
$\\vdots$
0.632
$\\vdots$
GDLogistic0.1070.4820.1720.1300.0568.3330.080
PressurePF OFAG
$\\vdots$
Lognormal
$\\vdots$
0.040
$\\vdots$
0.309
$\\vdots$
0.460
$\\vdots$
0.123
$\\vdots$
0.103
$\\vdots$
6.389
$\\vdots$
0.094
$\\vdots$
IQNormal0.0780.1890.8960.0800.8351.7220.787
OFFR
$\\vdots$
Lognormal
$\\vdots$
0.038
$\\vdots$
0.206
$\\vdots$
0.788
$\\vdots$
0.080
$\\vdots$
0.759
$\\vdots$
2.889
$\\vdots$
0.409
$\\vdots$
MSWeibull0.0670.4930.3890.0880.8724.4440.217
EFST
$\\vdots$
Lognormal
$\\vdots$
0.032
$\\vdots$
0.198
$\\vdots$
0.831
$\\vdots$
0.074
$\\vdots$
0.840
$\\vdots$
6.389
$\\vdots$
0.094
$\\vdots$
GDNormal0.0880.3460.4750.0910.6701.3330.856
"} {"image_path": "images/7823026b3c5c1bca068482e91626267d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n
薪金、津貼及實物福利人民幣千元 退休金計劃供款人民幣千元以股權結算的購股權開支人民幣千元 總薪酬人民幣千元
二零二零年
執行董事:
羅厚杰先生1,712101861,908
陳紹興先生4341662512
李惠芳女士2921062364
2,438363102,784
非執行董事:
$胡勁恒先生^1$1961062268
2,634463723,052
薪金、津貼及實物福利人民幣千元 退休金計劃供款人民幣千元 總薪酬人民幣千元
二零一九年
執行董事:
羅厚杰先生² 722722
$陳紹興先生^3$53128559
李惠芳女士 ${ }^{3}$38826414
1,641541695
"} {"image_path": "images/2ca0ef6cb45a10bb9b1e882f1f0e714a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
温度(℃)芯数工作制(h)$标称截面(mm^2)$6580
123123
0.510.510.510.510.510.51
0.75131311111010181815151515
1161614141212212118181616
1.5202017171515272722222020
2.5272722222020363631302727
4353530292626484841403635
6454538373533616152504644
10626254514844848473696460
1685837469656011511099928980
25115105100929080155150135125120110
35140135125115115100195185170155155135
50185170170145155130250235225195210175
70230210220185200165310290295250270220
95295260280230260210400355375310350280
120350310335275310245470415450370415330
"} {"image_path": "images/e630d13bd20350410566868430214646.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
应债主体个人(城乡居民)单位(企事业)银行合计
基本情况年度职工工资总额及农民纯收入(亿元)认购国债(亿元)负担率(%)预算外资金收入(亿元)认购国债(亿元)负担率(%)自有资金和结益(亿元)认购国债(亿元)负担率(%)居 民 收入、预算外收入、银行自有资金和结益(亿元)国债发行总额(亿元)总负担率(%)
0123=2/1456=5/4789=8/7 10=1+4+7 11=2+5+812=11/10
19812 60460148.63 20148.61.52
19823 3071918802244 10943.81.07
19833 6172196720.54 58441.50.91
19843 79221.31 08320.24 87542.50.85
19854 070391 20021.55 27060.51.15
年平均3 37825.20.74931272.94 40847.21.07
19864 47739.31 44022.45 91762.51.05
19874 92443.91.72872.36 652116.21.74
19885 662137.292 07334.871 200808 935252.162.82
19896 7941792 659351 3341710 7872312.14
19908 152602 750551 48295.812 384195.81.58
年平均6 00291.891.532 13043.912.061 33964.274.798 935171.531.91
"} {"image_path": "images/367805f5ed4faf7286a2b75345b4d666.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$T_{r}/℃$$\\Delta T/℃$$Pr_{r}$$F_{0}^{\\prime\\prime}(0)$$-G_{0}(0)$$-\\theta^{\\prime}_{0}(0)$$F_{0}(\\infty)$$Nu_{x} Gr_{x}^{-\\frac{1}{5}}$
20106.925480.457940.871220.622360.880040.64040
20206.925480.505360.831000.623300.870830.65572
20306.925480.558870.806010.628980.868780.67355
20406.925480.605100.773960.634250.864650.68735
20506.925480.647560.744480.639170.859020.69821
20606.925480.703250.735840.650440.859210.71252
20706.925480.751750.715740.658860.856690.72324
20806.925480.797490.698940.669350.852890.73233
40104.260700.554061.021430.564631.066430.57474
40204.260700.595130.972080.565961.055710.58301
40304.260700.636440.934600.568451.044870.59024
40404.260700.695140.927390.578401.044650.60227
40504.260700.741880.897840.584811.040040.61020
40604.260700.785570.875700.592961.033740.61667
60102.933990.626321.132980.517351.225930.52148
60202.933990.692231.129730.528541.234340.53427
60302.933990.730001.075660.531911.227430.53878
60402.933990.770161.050210.537561.217540.54271
80 102.186730.656821.170880.472291.350050.47327
80202.186730.729131.216370.483761.343910.48317
"} {"image_path": "images/4e1b040307a62d0ff08adc5015acaa58.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年Year 月Month 意外Accidents 傷亡Casualties
港島Hong KongIsland 九龍Kowloon 新界NewTerritories総計Total 港島Hong Kong Island
致命Fatal嚴重Serious輕微Slight
20172 7515 6917 28315 72584622 819
20182 8645 8277 24415 935234652 862
20192 6965 7837 42015 899144202 707
2018102495196711 439138249
112465246051 375140245
122444855751 304650241
201912405296251 394147229
22024265141 142239198
32464906251 361051226
42304505621 242342210
52415296431 413145264
62424966231 361338228
72314696491 349133233
82074886081 303035217
92214636251 309127244
102234666571 346124231
111974756501 322122197
122165026391 357017230
"} {"image_path": "images/61ab71fb52f5ef22ac81348155eed846.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n\n
角钢型号圆角重心矩截面积质量回转半径$i_{y 1}$, 当 $a$ 为下列数值时$i_{y 2}$, 当 $a$ 为下列数值时
R${Z_x}$${Z_y}$Aq${i_x}$${i_y}$$i_{y_0}$6 mm8 mm10 mm12 mm6 mm8 mm10mm12 mm
mm${\\mathrm{cm}^2}$kg/mcmcmcm
$\\llcorner125 \\times 80 \\times$ $\\begin{array}{l}7 \\\\ 8 \\\\ 10 \\\\ 12\\end{array}$1118.0
18.4
19.2
20.0
40.1
40.6
41.4
42.2
14.1
16.0
19.7
23.4
11.1
12.6
15.5
18.3
2.30
2.29
2.26
2.24
4.02
4.01
3.98
3.95
1.76
1.75
1.74
1.72
3.13
3.13
3.17
3.20
3.18
3.20
3.24
3.28
3.25
3.27
3.31
3.35
3.33
3.35
3.39
3.43
5.90
5.92
5.96
6.00
5.97
5.99
6.04
6.08
6.04
6.07
6.11
6.16
6.12
6.14
6.19
6.23
$\\llcorner140 \\times 90 \\times$ $\\begin{array}{l}8 \\\\ 10 \\\\ 12 \\\\ 14\\end{array}$1220.4
21.2
21.9
22.7
45.0
45.8
46.6
47.4
18.0
22.3
26.4
30.5
14.2
17.5
20.7
23.9
2.59
2.56
2.54
2.51
4.50
4.47
4.44
4.42
1.98
1.96
1.95
1.94
3.49
3.52
3.56
3.59
3.56
3.59
3.63
3.66
3.63
3.66
3.70
3.74
3.70
3.73
3.77
3.81
6.58
6.62
6.66
6.70
6.65
6.70
6.74
6.78
6.73
6.77
6.81
6.86
6.80
6.85
6.89
6.93
$\\llcorner 160\\times 100\\times\\begin{array}{r}10\\\\ 12\\\\ 14\\\\ 16\\end{array} $1322.8
23.6
24.3
25.1
52.4
53.2
54.0
54.8
25.3
30.1
34.7
39.3
19.9
23.6
27.2
30.8
2.85
2.82
2.80
2.77
5.14
5.11
5.08
5.05
2.19
2.18
2.16
2.15
3.84
3.87
3.91
3.94
3.91
3.94
3.98
4.02
3.98
4.01
4.05
4.09
4.05
4.09
4.12
4.16
7.55
7.60
7.64
7.68
7.63
7.67
7.71
7.75
7.70
7.75
7.79
7.83
7.78
7.82
7.86
7.90
$\\llcorner180 \\times 110 \\times$ $\\begin{array}{l}10 \\\\ 12 \\\\ 14 \\\\ 16\\end{array}$1424.4
25.2
25.9
26.7
58.9
59.8
60.6
61.4
28.4
33.7
39.0
44.1
22.3
26.5
30.6
34.6
3.13
3.10
3.08
3.05
5.81
5.78
5.75
5.72
2.42
2.40
2.39
2.37
4.16
4.19
4.23
4.26
4.23
4.26
4.30
4.33
4.30
4.33
4.37
4.40
4.36
4.40
4.44
4.47
8.49
8.53
8.57
8.61
8.56
8.60
8.64
8.68
8.63
8.68
8.72
8.76
8.71
8.75
8.79
8.84
$\\llcorner 200 \\times 125 \\times$ $\\begin{array}{l}12 \\\\ 14 \\\\ 16 \\\\ 18\\end{array}$1428.3
29.1
29.9
30.6
65.4
66.2
67.0
67.8
37.9
43.9
49.7
55.5
29.8
34.4
39.0
43.6
3.57
3.54
3.52
3.49
6.44
6.41
6.38
6.35
2.75
2.73
2.71
2.70
4.75
4.78
4.81
4.85
4.82
4.85
4.88
4.92
4.88
4.92
4.95
4.99
4.95
4.99
5.02
5.06
9.39
9.43
9.47
9.51
9.47
9.51
9.55
9.59
9.54
9.58
9.62
9.66
9.62
9.66
9.70
9.74
"} {"image_path": "images/7a2879d07f060c66e7699edd4b46ddc5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HenryHawaiiHungary
HelenHondurasHaiti
hailbehave
hateinhale
heelexhale
heatahead
hidebehind
hikeinherit
holeanyhow
homemanhood
hopewomanhood
hotchildhood
himparenthood
hernationhood
-h-h-h
is hisamhamahay
it hitathatehe
air hairashasihi
ear hearallhall0hoe
old holdandhanduhue
"} {"image_path": "images/986d0702eca9342518e4e76309803607.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
算 數比 較 增 减備 註
自筹收入支 應合 計金 額%
43,649,036.0043,649,036.0013,599,036.0045.25
150,968.00150,968.00-149,032.00-49.68
38,250,509.0038,250,509.009,159,509.0031.49
5,137,579.005,137,579.004,798,579.001,415.51
109,980.00109,980.00-210,020.00-65.63
5,929,123.005,929,123.005,929,123.00
5,929,123.005,929,123.005,929,123.00
23,562,343.0023,562,343.0010,776,343.0084.28因本年度推廣計畫案件較預計增加 , 致支出相對增加。
11,462,620.0011,462,620.0010,358,620.00938.28
338,217.00338,217.00338,217.00
11,038,341.0011,038,341.009,934,341.00899.85
86,062.0086,062.0086,062.00
6,844,425.006,844,425.00-1,553,575.00-18.50
76,680.0076,680.0044,680.00139.63
106,809.00106,809.004,809.004.71
545,271.00545,271.00-4,729.00-0.86國外旅費本年度未編列預算 , 決算數11萬3,699元 , 主要係辦理馬來西亞教育專業文憑課程國外旅費 。
487,940.00487,940.00367,940.00306.621.廣告費 : 本年度未編列預算 , 決算數12萬7,545元(含政策宣導12萬7,545元) ,主要係因應招生之需要 , 經校内行政程序核准後辦理 。2.業務宣導費 : 本年度未編列預算 , 決算數10萬513元 , 係配合執行活動宣導之需 , 經校内行政程序核准後辦理 。
101,592.00101,592.00-73,408.00-41.95
93,465.0093,465.0023,465.0033.52
2,526,579.002,526,579.00426,579.0020.311.配合辦理活動物品委外清洗 , 未編列預算 , 決算數6,402元 。2.辦理推廣教育進用臨時人員5人 , 預算數210萬元 , 決算數249萬5,755元 。
2,906,089.002,906,089.00-2,342,911.00-44.64
2,260,720.002,260,720.00900,720.0066.23
144,816.00144,816.00-115,184.00-44.30
2,115,904.002,115,904.001,015,904.0092.35
1,950,868.001,950,868.001,440,868.00282.52
1,626,538.001,626,538.001,166,538.00253.60
1,260.001,260.001,260.00
307,470.00307,470.00257,470.00514.94
15,600.0015,600.0015,600.00
471,787.00471,787.00-552,213.00-53.93
471,787.00471,787.00-519,213.00-52.39
-33,000.00-100.00
"} {"image_path": "images/eaeadd52de5105928065adf10081c45c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产业目标要素
技术壁垒要素
1. TP(触屏)全制程关键技术2. OLED高分辨率的 成 膜(喷墨/蒸镀/转印)3. 多 屏互动与信息分享4. 探 索 智能电视软件测试技术、规范及工具5. 制 定通 用 接口标准6. 建 立关 键 技术 及 产业 技 术核 心 联盟7. 智 能电 视 基础 软 件、服 务 应用 开 发环 境8. 新 媒体 交 互与 智 慧家 庭 应用9. 解决现有可用系统内部安全漏洞、安卓系统潜在收费的危险等软件系统层面问题10. 在整机系统开发中:建立应用开发有效的生态系统关键评价值优先排序
10010095.0494.0194.0192.9891.9491.9490.9190.91
A. 电视业务单一,云平台建设需要加强209283042403029212525655.361
B. 互联网电视的技术规范不明确4117710102026369691.087
C. 国内缺乏具有自主知识产权的接口技术,超高清显示接口标准尚未统一7121415361914184913915.66
D. 关键安全技术(加密,内容保护)缺乏行业标准98181011172420261514738.265
E. 国产化芯片与基础软件参考实现方案缺乏1611243029221719111918610.253
F. Shadow mask 技术152234-1614215557.4610
C. 平板电视产业缺乏有效的技术联盟,不能·实现技术共享1513182526412122171920343.592
H. 绿色显示、低功耗等电视节能技术4315118131327249371.498
I. 基板图形化技术2024555624-2067439
J. 电视的操作系统和特殊应用缺乏大规模测试环境53191916263023172717186.454
"} {"image_path": "images/8c0b1f6b3ee5f90a16b2481a6b77185f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DISTAICTSLETTERS.POSTCARDS. PRINTEDMATTLL ANDNEWSPAPIERS.COMMEBCIALPAPEuS.SAMPLES.ToTAL.
Kiangsu ……7,220300260--7,780
Shanghai ........237,16021,280118,5203,500770381,230
Anhwei.........3,440140170--3,750
Chekiang........10,4504,5001,43024011016,730
Kiangsi.........2,29013030040-2,760
Hupeh..........15,0009002,100--18,000
Hunan..........7,06056047030-8,120
East Szechwan......11,370150100--11,620
West Szechwan .....21,75025026010-22,270
Shantung152,0402,70010,61040-165,390
Hopeh ……55,45087018,360-7074,750
Peiping.........31,4209902,1001001034,620
Honan ...........17,47015056010-18,190
Shansi ..........3,910150420-104,490
Shensi ...........6,8906054010-7,500
Kansu ..........71010---720
Fukien.........1,07030160--1,260
Kwangtung.......97,4106,12075,230350130179,240
Kwangsi .........6,5001702,900--9,570
Yunnan .........3,050201,010--4,080
Kweichow........4,4707060--4,600
Liaoning.........-----=}:
Ki-Hei+.........-----
Sinkiang.........30----30
TOTAL for the 24th FiscalYear, C.H.M.K. (1935-1936)........696,16039,550235,5604,3301,100976,700
TOTAL for the 23rd FiscalYear, C.H.M.K. (1934-1935) ........559,70030,200181,7003,900900776,400
"} {"image_path": "images/563aa3c31c5f3ee3a13d87c5c389d2c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.Kodu lea aaPressureangle$a_{0}deg$Face-vidthb aa$Number of teeth^{*}$$Tip circle dia.^{*}$Contactratio$\\varepsilon$
$z_{1}$$z{2}$$d_{a1} aa$$d_{a2} aa$
14205195584.0212.81.82
282.01.65
380.01.48
478.01.28
576.01.05
684.0214.01.62
782.01.45
880.01.27
978.01.07
"} {"image_path": "images/4254bf63b9c76650d12859aa1918bf17.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
전공명교과목명학수번호학년/학기학점(시간)개설학과
지역재생과디지털콘텐츠마이크로전공디지털환경과운직적문제IDL0062학년/1학기3(3)인문사회디지털융합전공
지역사탕구와디지털재생HST0702학년/1학기3(3)역사학과
지역재생을위한협력수사학KOR1332학년/1학기3(3)국어국문학과
디지털사회에서문학과인간관계IDL0112학년/2학기3(3)인문사회디지털융합전공
지역문화기획ANT1162학년/2학기3(3)문화인류학과
지역시각문화와디지털디자인VCD1332학년/2학기3(4)시각디자인학과
정보윤리와다양성, 평등, 포용(DEI)IDL0192학년/2학기3(3)인문사회디지털융합전공
지역재생문화유산센터ANT1312학년/2학기3(3)문화인류학과
디지털정보활용마이크로전공디지털환경과운직적문제IDL0062학년/1학기3(3)인문사회디지털융합전공
지역사람구와 디지털 재생HST0702학년/1학기3(3)역사학과
지역재생을위한협력수사학KOR1332학년/1학기3(3)국어국문학과
디지털사회에서문학과인간관계IDL0112학년/2학기3(3)인문사회디지털융합전공
정보윤리와다양성, 평등, 포용(DEI)IDL0192학년/2학기3(3)인문사회디지털융합전공
지역재생과디지털시각디자인마이크로전공디지털환경과운영적문제IDL0062학년/1학기3(3)인문사회디지털융합전공
지역재생을위한협력수사학KOR1332학년/1학기3(3)국어국문학과
디지털사회에서문학과인간관계IDL0112학년/2학기3(3)인문사회디지털융합전공
브랜드디자인VCD0722학년/2학기2(3)시각디자인학과
지역시각문화와디지털디자인VCD1332학년/2학기3(4)시각디자인학과
정보윤리와다양성, 평등, 포용(DEI)IDL0193학년/2학기3(3)인문사회디지털융합전공
디지털글로벌공생융합(Ⅰ)마이크로전공글로벌 상생을 위한 AI 활용CEE0622학년/2학기3(3)에너지화공전공
인공지능과자연언어처리개론IDL0383학년/1학기3(3)인문사회디지털융합전공
AI과장려여행의 꿈IDL0374학년/2학기3(3)인문사회디지털융합전공
AI기반빅데이터분석을통한지역재생정보활용CEM0514학년/2학기3(3)컴퓨터공학전공
지역재생과디지털문화기획MAC0394학년/2학기3(3)미디어커뮤니케이션학과
디지털공생융합글로벌마이크로전공데이터분석기술의이해IDL0392학년/1학기3(3)인문사회디지털융합전공
디지털환경과운영적문제IDL0062학년/1학기3(3)인문사회디지털융합전공
초연결사회와기술의이해IDL0332학년/1학기3(3)인문사회디지털융합전공
디지털기술트랜드IDL0353학년/2학기3(3)인문사회디지털융합전공
디지털사회문제와정책IDL0363학년/2학기3(3)인문사회디지털융합전공
디지털사회와범죄IDL0343학년/2학기3(3)인문사회디지털융합전공
AI기반빅데이터분석을통한지역재생정보활용CEM0514학년/2학기3(3)컴퓨터공학전공
"} {"image_path": "images/f4da7d1a2cecb34150b949dc37c310bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Date Group (n)Arrests(n)Arrestsper$100,000 \\mathrm{ft}^{2}$Gun-relatedarrestsRapeRobberyAgg.assaultBurglaryTheft/vehicletheftVUFANarcoticsOther
May 2013Group 92846.5 3
$0.07~ \\mathrm{ft}^{2}$
(1.06%)
- 110.25$(3.87 \\%)$ 20
0.46
(7.04%)
7
0.16
(2.46%)
27
0.62
$(9.51 \\%)$
- 34
0.78
$(11.97 \\%)$
185
4.24
$(65.14 \\%)$
Oct. 2013 Group 4356.9 3
0.59
(8.57%)
- 6
1.18
(17.14%)
3
0.59
(8.57%)
- 3
0.59
(8.57%)
- 14
2.75
(40.00%)
9
1.77
(25.71%)
Jan. 2014 Group 7509.8 8
1.57
(16.00%)
1
0.20
$(2.00 \\%)$
2
0.39
(4.00%)
5
0.98
$(10.00 \\%)$
I
0.20
(2.00%)
2
0.39
$(4.00 \\%)$
6
1.1
8$(12.00 \\%)$
14
2.75
$(28.00 \\%)$
19
3.74
$(38.00 \\%)$
May 2014Group 1509.8 5
0.98
(10.00%)
- 2
0.39
(4.00%)
6
1.18
(12.00%)
2
0.39
(4.00%)
7
1.38
(14.00%)
3
0.59
(6.00%)
$ \\begin{array}{rll}11\\\\ 2.16\\\\ (22.00\\%)\\end{array} $ 19
3.74
(38.00%)
South GroupTotals419$^a$33.0$^b$ 19
3.22
(4.53%)
$ \\begin{gathered} 1 \\\\ 0.20^{a} \\\\ (0.24 \\%) \\end{gathered} $ 21
2.19$^a$
(5.01%)
34
3.21$^a$
(8.11%)
10
0.75$^a$
(2.38%)
$ \\begin{array}{c}40\\\\ 2.98^{\\mathrm{a}}\\\\ (9.55\\%)\\end{array} $ 9
1.77$^a$
(2.15%)
73
8.45$^a$
(17.42%)
232
13.49$^a$
(55.37%)
Jan. 2014Group 9 match2098.2 20
0.79
(9.57%)
1
0.04
(0.48%)
13
0.51
(6.22%)
20
0.79
(9.57%)
- 15
0.59
(7.18%)
5
0.20
(2.39%)
72
2.84
(34.45%)
83
3.27
(39.71%)
Jul. 2014Group 4 match438.5 2
0.39
(4.65%)
- 6
1.18
(13.95%)
3
0.59
(6.98%)
- 2
0.39
(4.65%)
- 11
2.16
(25.58%)
21
4.13
(48.84%)
Jul. 2013Group 7 match346.7 2
0.39
(5.88%)
- 2
0.39
(5.88%)
3
0.59
(8.82%)
- 16
3.15
(47.06%)
- 2
0.39
(5.88%)
11
2.16
(32.35%)
"} {"image_path": "images/619c9a296796662b36c5c6d1be7b8df9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
单 位 名 称单位数年 末
合 计固 定职 工
其中: 女性
五、交通运输、邮电通讯业4857145618
运 输 一 公 司37655241
运 输 二 公 司20040120
旅 游 公 司19645172
航 运 公 司85585
六、商业、物资供销业13826254698
1、商 业11 688207562
商 业 公 司1064499
食 品 公 司24048217
水 产 公 司17717
外 贸 公 司622661
粮 食 公 司1122382
计 量 所10310
经 协 中 心12211
华 新 公 司3249
京 汉 公 司744136
"} {"image_path": "images/1179d94d8196d3f92a756bd2819929bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份.实际值预测值 A
a = 0.1
预测值 B
a = 0.9
绝对偏差均方偏差
ABAB
11500
21725150015002252255062550625
31510152317031319316937249
41720152215291981913920436481
513301542170118837135344137641
61535152113671416819628224
71740152215182182224752449284
8181015441718366921339568464
917601571180118941357211681
101930159017643401661156027556
11200016241913376871413767659
121850166219911881413534419881
总计MAD23451901635059377099
MSE2101735773336792
"} {"image_path": "images/a19aafd0c261bd342992b982d12e78d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n
abcd$m_x$/m: horizontal translation$m_x$/m: horizontal oscillation
2.02.1-2.0-2.126.684.191 (4.095)
2.02.2-2.0-2.213.64 (13.74)*2.133
2.02.4-2.0-2.47.2031.121
2.02.6-2.0-2.64.9200.7985
2.02.8-2.0-2.8-0.6466
2.03.0-2.0-3.03.253 (3.225)0.5613 (0.5513)
2.05.0-2.0-5.01.5650.3845 (0.3858)
2.07.0-2.0-7.01.2940.3701
2.010.0-2.0-10.01.1520.3512 (0.3620)
2.03.0-2.0-2.121.430.7534 (0.717)
2.03.0-2.0-2.211.360.7127
2.03.0-2.0-2.46.2960.6543
2.03.0-2.0-2.64.5940.6144
2.03.0-2.0-2.8-0.5844
2.03.0-2.0-3.03.2520.5613
2.03.0-2.0-5.02.1070.4822
2.03.0-2.0-7.02.0090.4763
2.03.0-2.0-10.0-0.4693
2.02.1-2.0-3.09.5802.318 (1.871)
2.02.2-2.0-3.06.0751.401
2.02.4-2.0-3.04.2480.8955
2.02.6-2.0-3.03.6750.7128
2.02.8-2.0-3.0-0.6184
2.03.0-2.0-3.03.2530.5613
2.05.0-2.0-3.02.973 (2.98)0.4209
2.07.0-2.0-3.02.9350.4102
2.010.0-2.0-3.02.895 (2.95)0.4046
"} {"image_path": "images/6f5b3b5dd0532ddaf71993da0a146de0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
InfectionsMalignant bonetumorsBenign bonetumorsHematologicalmalignancies/infiltrativediseaseMetabolic bonedisordersGeneticdisordersMiscellaneous
BacterialosteomyelitisOsteosarcomaOsteoid osteomaLymphomaHypophosphatasiaDIRAOsteonecrosis(vascular necrosis)
Mycobacteriosis Ewing's sarcomaOsteoblastomaLeukemiaHypertrophicosteoarthropathyPAPA
Fungal infectionsBony metastasesFibrous dysplasiaLangerhans cell histiocytosisMajeedsyndrome
EnchondromatosisCherubism
Hemangiomatosis
Bone cysts
"} {"image_path": "images/e8703c62a5ae74365d89b08b93407930.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
二年金史六十十
九 表 士 其 四
月 謝 韓 端 月
壬 賜 肖 明 己
寅 河 胄 殿 卯
宋 南 等 大 宋
端 地 奉 學 遣
江 張
南 通



壽 戊 使 正
節 戍 賀 月
夏 正 壬
使 旦 午
賀 朔
萬 夏
壽 甲 使
節 辰 賀
夏 正
使 旦

萬 戊 麗 正
壽 戍 使 月
節 高 賀 壬
麗 正 午
使 旦 朔
賀 高
麗 十 萬 甲
使 二 壽 辰
入 月 節 高
貢 甲 麗
戌 使
高 賀
百八十八
"} {"image_path": "images/a016a85f8c5e4ea0e850dea6ea10266a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
中小板周排行榜
涨幅 ( % )跌幅 ( % )换手率( % )成交金额 ( 亿元 )中小板贡献前十名涨幅( % )贡献点数
金达威(002626)39.69 爱迪尔(002740)-27.65 金逸影视(002905) 171.38 华天科技(002185)404.06 牧原股份(002714)5.67 16.33
天润工业(002283)30.28 凯撒文化(002425)-26.99 侨银环保(002973) 124.05 立讯精密(002475)365.51 金达威(002626)39.69 9.43
海南发展(002163)29.90 北方华创(002371)-21.83 华盛昌(002980) 122.22 欧菲光(002456)302.64 新宝股份(002705)18.808.11
金新农(002548)25.86 朝阳科技(002981)-21.16 雷赛智能(002979)119.32 紫光国微(002049)299.30 海大集团(002311)7.19 7.95
小熊电器(002959)25.37游族网络(002174)-20.33 明德生物(002932) 114.24 第一创业(002797)276.93 东方雨虹(002271)9.52 6.33
蒙娜丽莎(002918)21.92美格智能(002881)-19.29中天精装(002989)109.37比亚迪(002594)228.45龙蟒佰利(002601)15.566.06
坚朗五金(002791)20.14跨境通(002640)-18.96瑞达期货(002961)107.97中环股份(002129)211.14华兰生物(002007)4.855.66
鸿路钢构(002541)20.07众信旅游(002707)-18.88日丰股份(002953)107.71达安基因(002030)193.24珠江啤酒(002461)14.084.64
新宝股份(002705)18.80省广集团(002400)-18.82中欣氟材(002915)105.11牧原股份(002714)188.63坚朗五金(002791)20.144.40
东易日盛(002713)17.89高争民爆(002827)-18.74芯瑞达(002983)103.09歌尔股份(002241)181.93中順洁柔(002511)8.423.55
"} {"image_path": "images/c9d8794d50a0a78d19168e7c29475418.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机型
重量
L. 300L. 301
最大起飞重量(公斤)143,600 173,720
最大着陆质量(公斤)116,800145,120
最大无燃料重量(公斤)102,697115,914
基本重量(公斤)59,64966,029
最大商务栽重(公斤)43,048*49,885*
燃料总币(公斤)68,05070,752
机翼
载荷
最大起飞重量机翼 (公斤/米²)577.0
最大着陆重量载荷 (公斤/米²)483.2
动力載荷(最大起飞重量) (公斤/公斤推力)4.55
"} {"image_path": "images/6d5efecf66d22ba78b62af443ea65c9b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
張太
平軏
 侯
除石忠
。亨國
  公
除 諡 吴 鉅
。 僖 克 鹿
  敏 勤 侯
鎰 追 毛 南
莊 封 勝 葶
毅 侯   伯
。 ,
國 邦 重
器 器 器
降 年
清 五
。 月

茂 孟
龍 龍
"} {"image_path": "images/e56574acdd45b8a8f6bfbe52f0694c7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n
AuthorsYearSampleCountry/settingMain method(s)used to encouragevegetable consumptionDesignIntervention durationFindingsTake-home messages
pieces) than control children(mean = 2.08 pieces) effective in helping childreneat healthier foods
Harnacket al. [43]201253 2-5-year-oldsUSA/preschoolServing first-beforethe rest of themain mealRandomisedcrossoverexperiment10 daily sessionsNo significant difference invegetable intake when servedin advance of the rest of mealcompared to when served aspart of a main meal for2 weeksServing vegetables first doesnot appear to increasevegetable intake
Hausneret al. [44]2012104 2-3-year-oldsDenmark/nurseryFFL FNL RENon-randomisedbetweensubjects10 exposuresSignificantly increased consumption of a novelvegetable in both the FFL(5.8× baseline consumption)and RE (4.6× baselineconsumption) groups after,maintained at 6 months post.No significant effect of FNLRE effective for increasingvegetable consumption.Highly neophobic children(those with high levels offear of new foods) may benefit from pairing vegetables with a known and liked flavour (FFL)
Holley et al.[45•]2014115 2-4-year-oldsUK/homeRE modellingnon-food rewardsNon-randomised controlled trial14 dailyexposuresSignificant increasedconsumption of a dislikedvegetable in the modelling,non-food rewards and REgroup (mean = 3.96 g) and inthe non-food rewards and REgroup (mean = 3.65 g),compared to the control group(mean = 1.14 g). Significantdifferences in liking of targetdisliked vegetablepost-intervention, with likinghighest in the modelling,non-food rewards and REgroup Parent-led interventions utilising non-food rewardsand modelling alongsideRE may be cost efficient for increasing children'svegetable consumption
Horneet al. [46]201120 children aged24-52 monthsUK/preschoolMixed methods(modelling,non-food rewards)Within subjects30 daysThreefold increase in targetvegetable consumptionpost-intervention (from 28.8 to85.5% of ~25 g portion),maintained at 6-monthfollow-upPeer modelling and non-food rewards intervention successful in a preschool setting
Remingtonet al. [21]2012173 3-4-year-oldsUK/homeRE non-food rewardsRandomised controlled trial12 dailyexposuresTangible non-food rewardsincreased children's intake andliking of the disliked targetvegetable significantly morethan controls (meanSupport for parental use oftangible non-food reward swith repeated taste exposures to improve
"} {"image_path": "images/e7ca1681e342edbffb8eaf950f72e8d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ T_{1}^{\\circ}(\\mathrm{msec}) $$ T_{2}^{\\circ}(\\mathrm{msec}) $
1.0A /O Co~170~20
1.0A /O Al300-350
3.8A /O Al450-500~20
"} {"image_path": "images/5dac006e41a730317c7bbeb14b22b289.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Condi-tion of the alloyEq. (1)Eq.(2)
In $\\xi$nm$u_{0}$,J/molev.J/(mole·MPa)$S_{\\mathrm{f}}^{2}\\:(\\mathrm{lg}\\tau_{\\mathrm{f}})^{*}$1n $\\eta$kS$H_{0}$,J/mole$\\varkappa$,J/(mole·MPa)$S_{\\mathrm{f}}^{2}\\left(\\lg \\varepsilon_{\\mathrm{f}}\\right)^{*}$
ZhS6U
ZhS6UN
-44,90
-37,25
3
4
2
2
550587,7
526031,3
98,92
66,89
0,0239
0,0284
-5,80
-6,92
0
0
1
1
27055,8
56249,6
-38,65
-61,83
0,0679
0,0329
"} {"image_path": "images/1f72a26b1306391f448189daa5d4479d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
企 业 名 称中国人民解放军第7424工厂华东建筑机械厂上海格拉曼国际消防装备有限公司上海易初摩托车有限公司上海柴油机股份有限公司上海第八车辆配件厂
主要产品名称型号及产量改装HL6601、HL6602、HL6601K 轻型客车1211辆改装HDJ5250GJBSL混 凝 土 搅 拌车317辆改装SG30A,PM30A 消防罐车320辆XF250 二 轮普通摩托车200000辆6135 系列汽车用柴油机1558台STN 转向横直拉杆178000件
改装HL5040XH轻型客车厢式专用车312辆XF125二轮普通摩托车197490辆D6114 汽车用柴油机447台STN 球铰链节头34.4万只
改装HL6601C、HL6602C轻型客车112辆XF150二轮普通摩托车2530辆STN横节头10万只
改装HL6601AK轻型客车39辆摩托车发动机427894 台
经 济 类 型国 有国 有中美合资中泰合资股份制集 体
企 业 所 属 系 统军 工建 设其 它机 械机 械轻 工
①全年工业总产值(90年不变价,原规定),万元101591232311046204602547045000
②全年工业总产值(90年不变价,新规定),万元10159123238613205940609515069
③全年工业总产值(现行价,原规定),万元11493302821267027624799216832
④全年工业总产值(现行价,新规定),万元985825882861323745090975908
⑤汽车工业产品产值(90不变价,原规定),万元9653118311037120460251175000
⑥汽车工业产品产值(90不变价,新规定),万元965311831772620594057015069
⑦工业增加值(现行价),万元2908820831804088547133278
⑧年末职工人数,人825174172135731001832
⑨生产建筑面积, $m^{2}$477243872232721970392760412530
⑩固定资产原价合计,万元9973.03669.01988.021784.08559.02475.0
⑪ 其中:生产经营用, 万元6544.03049.01972.018425.07210.02190.0
⑫年末固定资产净值平均余额,万元3920.02600.01343.013515.03907.01393.0
⑬全员劳动生产率(增加值),元/(人·年)33932.345957.440561.2118644.846571.238384.1
"} {"image_path": "images/cd07a7789fa1147c4a47494913168bf0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
변수구분 Mean$\\pm$SD실수(%)
항생제 종류
세괄로스포린,글리코펩타이드64(19.9)
아미노글리코사이드,세팔로스포린,글리코펩타이드39(12.1)
세괄로스포린24( 7.5)
세팔로스포린,글리코펩타이드향진균제37(11.5)
아미노글리코사이드,세괄로스포린,35(10.9)
글리코펩타이드, 항진균제
세괄로스포린, 항진균제14( 4.4)
기타 두가지 이상 복합93(29.0)
사용하지 않음15( 4.7)
방사선 요법
14( 4.4)
307(95.6)
스테로이드 사용
86(26.8)
235(73.2)
침습기구 삽입*
기관 삽입216(67.3)
호흡기207(64.5)
유치도뇨관301(93.8)
증심정맥관275(85.7)
"} {"image_path": "images/17e7a1ee39c62c1e8be63f0bb79e8078.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产地名称产地名称产地名称产地名称
北京市白虎涧红辽宁省青山白河南省淇县森林绿福建省连城花
密云桃花绥中虎皮花绥中浅红辉县金河花罗源樱花红
延庆青灰吉林省吉林白 G2201贵州省罗甸绿罗源紫罗兰
罗源红
房山灰白黑龙江省楚山灰福建省晋江巴厝白连城红
房山瑞雪安徽省岳西墨泉州白古田桃花红
河北省平山山板玉岳西绿豹南安雪里梅宁德丁香紫
平山绿岳西豹眼龙海黄玫瑰宁德金沙黄
平山柏坡黄皖西红康美黑长乐红
易县黑金寨星彩蓝漳浦青华安九龙壁
涿鹿樱花红天堂玉洪塘白浦城百丈青
承德燕山绿龙舒红晋江清透白浦城牡丹红
山西省北岳黑浙江省安吉红肖厝白石井锈石
灵丘贵妃红龙川红龙泉红福鼎黑
恒山青温州红海沧白光泽红
广灵象牙黄上虞菊花红武夷红光泽高源红
灵丘太白青上虞银花武夷蓝冰花光泽铁关红
灵丘山杏花嵊州樱花嵊州红玉晋江陈山白漳浦马头花
代县金梦仕阳芝麻白晋江内厝白光泽珍珠红
内蒙古自治区白塔沟丰镇黑三门雪花安溪红 永定红
傲包黑磐安紫檀香安海白邵武青
喀旗黑金刚嵊州东方红大洋青湖北省麻城彩云花
诺尔红嵊州云花红南平青麻城鸽血红
阴山红嵊州墨玉东石白麻城龙衣
凉城绿司前一品红漳浦红麻城平靖红
辽宁省凤城杜鹃红仕阳青南平黑三峡红
建平黑安吉芙蓉花长乐、屏南同安白荧麻黑三峡绿
绥中芝麻白甘肃省陇南芝麻白南平闽江红宜昌黑白花
绥中白陇南清水红宜昌芝麻绿
"} {"image_path": "images/074618c58db8c8a1449cb74edb5c9b71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
V、I
0T
"} {"image_path": "images/3c8e4df1cedbdaff005c7e098e420dd3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$K_{TO}$АмплуаСтранаВозрастОткудаКуда Почем,млн евро
Пако АльбиссернапИспания26Боруссия ДВильярреал23
АНХЕЛИНЬОЛЗИспания23Ман СитиЛейпцигap
Гильерме АРАНАЛЗБразилия22СевильяАтлетикоМинейроap
Рауль БЕЛЛАНОВАnp3Италия19БордоАталантаap
Сандер БЕРГЕП3Норвегия21ГенкШеффилл Ю26
Валлон БЕРИШАП3KocoBO26ЛациоФортуна Дap
Кевин-Принс БОАТЕНГнапГана32ФиорентинаБешикташap
Габриэль БОШИЛЬЯП3Бразилия23МонакоИнтер?
Лжош БРАУНХИЛЛП3Англия24Бристоль СитиБёрнли10
Джебфрн БРУМАЦ3Идерланды 28ВольфсбургМайнцap
БРУНО ФЕРНАНДЕШП3Португалия 25Спортинг55+21
"} {"image_path": "images/f20c734c00b8d61a735ba939e4b552c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
"} {"image_path": "images/5a6fc8458dd3c8bde3ae49cd2bcf0579.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目增加值劳动者报 酬生产税净 额 固 定资 产折 旧营 业盈 余
补 贴
地区生产总值482.9426244.230.5868.65108.06
农、林、牧、渔业73.1370.25-0.580.582.041.42
农 业52.9551.51-0.580.581.090.93
林 业0.930.76000.060.11
畜牧业16.815.92000.690.19
渔 业1.171.09000.050.03
农、林、牧、渔服务业1.280.97000.150.16
工 业174.670.4623.75035.8644.53
采矿业8.731.252.7900.963.73
$\\#$开采辅助活动000000
制造业138.5257.3213.84025.3741.99
$\\#$金属制品、机械和设备修理业0.010.010000
电力、燃气及水的生产和供应业27.3511.897.1209.53-1.19
建筑业28.8915.312.1302.259.2
房屋建筑业20.2910.891.5201.636.25
土木工程建筑业5.722.860.3900.352.12
建筑安装业0.410.05000.270.09
建筑装饰和其他建筑业2.471.510.22000.74
批发和零售业29.657.726.6603.0212.25
批发业24.114.415.9202.3811.4
零售业5.543.310.7400.640.85
"} {"image_path": "images/4407a857220f7ac94dc5ed9b0fd2b974.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": " \n\n \n \n \n \n\n \n\n\n\n
X$\\delta exp[ppmfromSiMe_4in(CD_3)_2SO]$
C4C3C2C1CO$C \\alpha $$C \\beta $
H125.54129.31121.64150.44172.3526.828.77
F159.44115.93123.48146.56172.4926.788.73
(0.08)(-0.33)(-0.30)(-0.08)
C1129.76129.24123.63149.21172.2326.828.70
(-0.62)(-0.17)(-0.02)(0.03)
Me134.70129.66121.35148.27172.4426.858.80
(0.10)(-0.27)(-0.23)(0.78)
COOH128.20130.80121.94153.95172.0926.918.73
(0.16)(0.49)(0.04)(-1.07)
$\\mathrm{NO}_2$144.86125.12123.07155.41171.8626.958.60
(-0.16)(0.75)(-0.19)(-2.08)
OEt155.93114.73122.42143.76172.6426.828.80
(5.17)(-0.65)(-0.39)(1·28)
COMe134.31129.73121.97154.11172.0626.918.70
(0.20)(0.56)(-0.03)(-1·20)
$\\mathrm{NH}_2$146.22113.89121.64140.54172.9026.758.86
(0.39)(-1.00)(-0.49)(2.76)
NHCOEt136.84119.73121.71145.54172.5526.828.80
(0·17)(-0.32)(-0.25)(0.52)
N(Me)COEt141.32128.17122.68149.14172.2326.828.77
(-0.03)(-0.10)(-0.26)(-0.26)
"} {"image_path": "images/678ac36955a6182105f18064d6db49dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
性能指标32 m70 m
接收频率/MHz5 870~5 890.920~9358370~8530.5870~5890
频率分辨率/Hz0.011,0.01
天线增益(45°方向)/dBi62,46.574,71
天顶方向的系统噪声温度/K110,10035,25
G/T(45°方向)/(dB)41.5,26.558.2,56.5
极化LCP,RCPLCP
波束宽度(-3 dB)/(°)0.11,0.70.035,0.05
天线极化率/dB-3-3
本振基准频率稳定度(lb)$ \\pm 1 \\times 10^{-14} $$\\pm 1 \\times 10^{-14}$
接收机AGC动态范围/dB8080
接收机环路带宽/Hz1~1001~100
接收机环路类型自适应自适应
接收机锁相环阶数33
捕获扫描范围/kHz±60±60
最小捕获扫描速率/(Hz/s)11
最大捕获扫描速率/(kHz/s)1010
捕获扫描步进量/Hz连续连续
可编程本振
遥测调制类型PMPM
调制格式/radNRZ - L,Bi- $\\phi$ - MNRZ - L.Bi- $\\phi-M$
调制指数范围0~2.1或2.62.1(2.6)
副载波频率范围kHz1.0241~131
副载波波形方波方波
符号速率范围/(符号/s)1~131 0721~262 144
副载波符号速率范围≥8>8
天线组阵
信道解码$ r=1/2,k=6 $$ r=1/ 2,k=6 $
数据格式$ \\begin{array}{l}\\text { NRZ-L } \\\\ \\text { Bi- } \\phi-\\mathrm{M}\\end{array} $$ \\begin{array}{l}\\text { NRZ-L } \\\\ \\text { Bi- } \\phi-\\mathrm{M}\\end{array} $
多普勒相干/非相干相干或非相干相干或非相干
计数分辨率/周0.0010.001
最大普勒频移/MHz±0.8±0.8
多普勒偏置频率/MHz±0.8±0.8
漂移( $\\Delta f / f$ )$ 1 \\times 10^{-12}(1 \\mathrm{~s}) $$ 1 \\times 10^{-12}(1 \\mathrm{~s}) $
输出方程1-偏频+ $\\mathrm{f}_{\\mathrm{u}}$1-偏频+$f_u$
方向指示$+\\Delta f=-\\Delta r$+△f=-△r
测距相干/非相干相干或非相干相干或非相干
测距码波形方波方波
地面站调制指数载波0~2.1,副载波1.5载波0~2.1,副载波1.5
测距码频率比4:14:1
主音频率/kHz300,30300,30
次音频率/kHz$300 / 4^{i}, i=1 \\sim 5$$3000 / 4^{i}, i=1 \\sim 5$
最小接收载波信噪比/dB1717
侧音积分时间/s1010
捕获序列顺序,主音在先顺序,主音在先
精度(强信号)/m20,10020,100
最大无模糊距离/km512512
应答机带宽/MHz0.50.5
频标频标类型氢脉泽氢脉泽
稳定度1s稳定度$ 1 \\times 10^{-1 2} $$ 1 \\times 10^{-12} $
1h稳定度$ 5 \\times 10^{-4} $$ 5\\times 10^{-14} $
1天稳定度$ 3\\times 10^{-14} $$ 3\\times 10^{-14} $
相位噪声10 Hz偏置/(dBc/Hz)$ -125(5, Hz) $$ -125(5Hz) $
100 Hz 偏置/(dBc/Hz)$ -135(5~Hz) $$ -1135(5Hz) $
1000 Hz 偏置/(dBc/Hz)$ -140(5 \\mathrm{~Hz}) $$ -140(5 \\mathrm{~Hz}) $
现有基准频率$ 5 MHz,1Hz $$5 \\mathrm{MHz}, 1 \\mathrm{~Hz}$
时统现有时间码自己的码自己的码
时间传递方法计划用 GLONASS计划用 GLONASS
基准时间莫斯科时莫斯科时
"} {"image_path": "images/85761277c41291453a4a31b8f2cbe787.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
57宝 清4,00020,2125,50022,0001909年设县。
58勃 利56,50250,5691909 年设县。
59桦 川33,000101,36239,600144,0801909 年设县。
60虎 林3,00025,9043,2005,0001909 年设呢吗厅,1910年改虎林厅,1913年改县。
61饶 河2,40013,5952,6007,3401909 年设县。
62方 正45,30038,11853,00096,0001909 年由大通县改称。
63穆 梭13,50044,57317,10024,2741909 年设县。
64滨 江46,53645,3051909 年设厅,1913 年改县。
65延 寿161,900149,103147,700207,200原名长寿,1914 年改同宾,1930 年改现名。
66珠 河304,10893,4251924 年由延寿,五常两县划出设治,1927 年设县。
67苇 河22,34025,0001924 年由同宾划出设治,1927 年设县。
小 计1,576,0002,708,1801,573,7002,495,081
总 计3,806,2176,298,8123,912,3397,314,636
"} {"image_path": "images/71166d12fd3ad3a44f061323bc2df552.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
發展目標統籌單位策略行動方案
技 術 自 造
及 智 造 深耕計畫。
3. 産業鏈結、
科 學 計 算
應用、精算
財 金 與 向
下 紮 根 學
習計畫 : 初
探數學就
業職能。
4. 科 學 傳 播
與 教 育
USSR 計
畫。
5. 運動產業
鏈結培力
計畫。
6. 辦理專題
發表工作
坊。
7. 辦理院際
講座。
8. 開設雙語
生活化學
DIY 體驗課程或營
隊活動。
9. 參與全國
教具或物
理辯論
賽。
10. 辦理探
究實作講
座。
11. 整合課
程邀請
業師協
同授課。
12. 辦 理 應
用 科 學
計 算 應
用 講 座
分 享 精
算 考 證。
績效指標目標值
112年113年114年115年116年
學生通過產
業、科學計算
應用及精算相
關證照人次。
1010121215
參與國、高中
基礎數
學輔導學習活動人
次。
3030353540
學生參與相關
課程與實務學
習人次
150200200250250
專案合作案件
33333
學生獲取相關
知識證照張數
1015152030
"} {"image_path": "images/8d5fd5a8756e346326106d0ae1cd45c9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Column1232i-22i-12i2i+12n-62n-52n-4
SubRow
21u-u-v0000000
220-bu-av0000000
i+12i-10uv-u-v®®0
i+12i002v-bu-av®®0
n2n-30000000uv-u
n2n-2000000002v-bu
"} {"image_path": "images/26f6c5c2f92168baaa03f188c331acb2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
值 的 比 例 关 系 ——估 费 用 的 百 分 比 (%)
电力供应、电气设备及电 力 照 明动力項目、通訊、信号及熱力設施自动装置和 控 制机械化速# # #及# ### 及 干燥 装 置 施 工 # #設 計总 圖及运 輸总 計
技术設計施工圖技术設計施工圖技术設計施工圖技术設計施工圖技术設計施工圖技术設計施工圖技术設計施工圖技术設計施工圖
13141516171819202122232425262728
16
16
14
12
12
6
8
5
7
5
3
3
8
-
10
-
7
1
8
1
3
8
-
-
5
3
2
4
100
100
100
100
"} {"image_path": "images/f34b5a83ab54621374b58716064e6abd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EUU*adjacency matrixadjacency lists
IDD*IDD*BB*
5000 vertices
5001025531235610001
100001255311354 10001
50001225831235322121
100003325831435852121
50000 1262703152022564 56
10000023728631418152921011
500000117547824811126754165647
100000 vertices
5000 533872424
10000456772424
5000018182612122828
10000034355128243434
5000001331372598889
"} {"image_path": "images/034190980b9e58565a901c2745419a62.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PrimaryManufacturingConstructionService
MeanStd. DevMeanStd. DevMeanStd. DevMeanStd. Dev
Displacement Rate0.270.200.430.12
Male0.930.741.000.77
Jobseeker0.960.930.840.91
NESB0.040.170.080.12
Age
20-290.300.310.350.36
30-390.110.290.350.20
40-490.330.240.190.22
50-590.260.160.110.22
Tenure3471.403210.102329.102623.302019.802208.002048.902829.50
Casual0.190.090.240.16
Occupation
Lowskill0.150.410.320.26
Medskill0.440.260.270.36
Paraprof0.370.280.350.23
Professional0.040.050.050.16
Non Work Partner0.260.190.350.20
Work Partner0.370.310.240.34
Handicap0.330.240.190.29
Firmsize2.821.272.911.201.891.102.191.15
Obs275837129
"} {"image_path": "images/ec3ca97f0bd0b384d161e86bfc69c38f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
雲南西康四川省別
一一一五二三調查縣數
五、一五五、〇〇〇一、三二三、八一一五、一八六、五六六荒地面積(畝)
"} {"image_path": "images/0fc4e57d62a96dec05976aa13950d0c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基本尺寸$/ \\mathrm{mm}$公 差 带
fgh
大于8945678123456
3-6
-20
-6
-31
-2
-5
-2
-6
-2
-8
-2
-12
-2
-16
0
-0.8
0
-1.2
0
-2
0
-3
0
-4
0
-6
36-10
-28
-10
-40
-4
-8
-4
-9
-4
-12
-4
-16
-4
-22
0
-1
0
-1.5
0
-2.5
0
-4
0
-5
0
-8
610-13
-35
-13
-49
-5
-9
-5
-11
-5
-14
-5
-20
-5
-27
0
-1
0
-1.5
0
-2.5
0
-4
0
-6
0
-9
1014-16
-43
-16
-59
-6
-11
-6
-14
-6
-17
-6
-24
-6
-33
0
-1.2
0
-2
0
-3
0
-5
0
-8
0
-11
1418
1824-20
-53
-20
-72
-7
-13
-7
-16
-7
-20
-7
-28
-7
-40
0
-1.5
0
-2.5
0
-4
0
-6
0
-9
0
-13
2430
3040-25
-64
-25
-87
-9
-16
-9
-20
-9
-25
-9
-34
-9
-48
0
-1.5
0
-2.5
0
-4
0
-7
0
-11
0
-16
4050
5065-30
-76
-30
-104
-10
-18
-10
-23
-10
-29
-10
-40
-10
-56
0
-2
0
-3
0
-5
0
-8
0
-13
0
-19
6580
80100-36
-90
-36
-123
-12
-22
-12
-27
-12
-34
-12
-47
-12
-66
0
-2.5
0
-4
0
-6
0
-10
0
-15
0
-22
100120
120140-43
-106
-43
-143
-14
-26
-14
-32
-14
-39
-14
-54
-14
-77
0
-3.5
0
-5
0
-8
0
-12
0
-18
0
-25
140160
160180
180200-50
-122
-50
-165
-15
-29
-15
-35
-15
-44
-15
-61
-15
-87
0
-4.5
0
-7
0
-10
0
-14
0
-20
0
-29
200225
225250
250280-56
-137
-56
-186
-17
-33
-17
-40
-17
-49
-17
-69
-17
-98
0
-6
0
-8
0
-12
0
-16
0
-23
0
-32
280315
315355-62
-151
-62
-202
-18
-36
-18
-43
-18
-54
-18
-75
-18
-107
0
-7
0
-9
0
-13
0
-18
0
-25
0
-36
355400
400450-68
-165
-68
-223
-20
-40
-20
-47
-20
-60
-20
-83
-20
-117
0
-8
0
-10
0
-15
0
-20
0
-27
0
-40
450500
"} {"image_path": "images/f7b05b128674960a1d183b3870970c75.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
impact['impækt;im'pækt]
0120
"} {"image_path": "images/6748b655f385068d01e02c8f3bb70007.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Detector Energy(keV)Radial distance (mm)
1.53.04.56.07.59.0
Thiswork Alfassiand$ Nothman ^{3} $Thiswork Alfassiand$ Nothman ^{3} $Thiswork Alfassiand$ Nothman ^{3} $Thiswork Alfassiand$ Nothman ^{3} $Thiswork Alfassiand$ Nothman ^{3} $Thiswork Alfassiand$ Nothman ^{3} $
I(diameter5.462 mm)6.40.9670.9650.8710.8590.7200.7030.5450.5290.3850.3700.2640.263
14.40.9680.9570.8730.8600.7280.7610.5590.6240.4030.4790.2820.373
17.70.9680.9720.8750.8770.7340.7590.5700.6310.4170.5060.2960.367
20.10.9690.9930.8770.8980.7390.7930.5790.6760.4290.5570.3080.401
26.30.9700.9760.8820.8770.7510.7680.6000.6630.4550.5520.3350.429
59.50.9710.9830.8890.8970.7660.8170.6230.7240.4840.6140.3650.515
11 (diameter2.821 mm)6.40.9210.9170.7280.7410.5120.6030.3400.432
14.40.9270.9300.7450.8460.5380.7160.3660.579
17.70.9310.9760.7280.9020.5570.8050.3870.685
20.10.9340.9730.7670.9200.5700.8160.4010.711
26.30.9380.9670.7820.9120.5940.8200.4270.731
59.50.9430.9810.7960.9590.6170.9280.4530.877
"} {"image_path": "images/e9a5428621a2e0690e154737005081b8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标名称计量单位全市市区沭阳县泗阳县泗洪县
宿城区宿豫区
基本养老保险参保人数221016939114001929935447104038142014
基本医疗保险参保人数2959071151314250136560726585659051528
失业保险参保人数253131974693782141447591434380052719
社会福利收养性单位数137432218422527
其中: 敬老院112341517371823
社会福利收养性单位床位数16083638232692681396824843249
其中: 敬老院14090532825072551350821953059
社区服务设施数208773738245651
城镇居民最低生活保障人数461691168284783204128301162110036
农村居民最低生活保障人数147235332431569566486540462808531861
参加农村合作医疗的人数374594710461965279535182431343900707864647987
参加农村养老保险的人数993283386526188426198100212764225393168600
"} {"image_path": "images/d678952d3124a2ff21b3e2ab78a87110.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目编码项目名称项目特征计量单位工程量计算规则工程内容
030412001普通灯具1. 名称按设计图示数量计算本体安装
2. 型号
3. 规格
4. 类型
030412002工厂灯1. 名称
2. 型号
3. 规格
4. 安装形式
030412003高度标志 (障碍) 灯1. 名称
2. 型号
3. 规格
4. 安装部位
5. 安装高度
030412004装饰灯1. 名称
2. 型号
030412005荧光灯3. 规格
4. 安装形式
030412006医疗专用灯1. 名称本体安装
2. 型号
3. 规格
030412007一般路灯1. 名称 1. 基础制作、安装
2. 立灯杆
3. 杆座安装
4. 灯架及灯具附件安装
5. 焊、压接线端子6. 补刷 (喷) 油漆
7. 灯杆编号
8. 接地
2. 型号
3. 规格
4. 灯杆材质、规格
5. 灯架形式及臂长
6. 附件配置要求
7. 灯杆形式(单、双)
8. 基础形式、砂浆配合比
9. 杆座材质、规格
10. 接线端子材质、规格
11. 编号
12. 接地要求
"} {"image_path": "images/3406248fc01fc20dee0773027a20e030.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
WORD LIST
facility             n. 设施laptop  n.笔记本电脑
microphone        n.麦克风spiral     adj.螺旋的
narrator            n. 叙述者education     n.教育
educational        adj. 教育的modern   adj.现代的
achieved             n. 成功sentence     n.句子
parental           adj. 父母的monologue  n.独白
understanding        n. 理解recommendation  n.推荐
further         adj. 进一步的information     n.信息
noticeboard         n. 布告栏technical     adj.科技的
department       n. 系,商店system   n.系统,体系
meeting          n. 会议conference   n.正式会议
congress         n . 大会,议会important   adj.重要的
detail             n. 细节material     n.材料
keyword          n. 关键词public    adj.公共的
infrastructure      n . 基础设施music         n.音乐
specialized   adj. 特别的,专门的planning       n.计划
Oxford             n. 牛津Cambridge     n.剑桥
cheaper         adj. 便宜些的full-time     全日制
list  n. 单子,列表,一览表,清单

team     n.队伍,小组
equipment           n. 设备culture       n.文化
general  adj. 普通的,笼统的,泛泛的quality       n.质量
"} {"image_path": "images/aa739b11d541f19e1f318cc79e7a7a80.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别学习领域第一学年第二学年总学时 学时分配(%)
理论一体化理论一体化实习一体化实习一体化理论实习一体化
173202020
公共课政治23415.2
语文234
英语468
数学468
体育234
* 计算机应用基础3 周78
技术课公路工程制图46844.8
力学基础468
* 公路施工与养护机械4 周104
* 公路工程测量6 周156
* 土质与公路建筑材料试验6 周156
* 路基路面施工与养护技术4 周104
* 桥涵工程施工与养护技术4 周104
* 公路工程现场测试技术4 周104
公路工程施工与养护管理468
"} {"image_path": "images/a05cc7d043dba881398fd19a2f6f1f3b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n\n\n \n \n \n \n \n \n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n
Number Of ILsMolar concentration [M]Molar fraction ILs(%)
$C_4$MIM$C_6$MIM$C_8$MIM$C_{10}$MIM$C_{12}$MIM\n
100.090.090.090.090.090.17
200.180.170.170.170.170.33
300.260.260.260.250.250.50
400.350.340.340.330.330.66
500.430.420.420.410.400.83
600.510.500.490.480.470.99
750.620.610.600.580.571.23
1000.800.780.760.740.721.64
1250.970.940.910.880.852.04
1501.131.001.051.010.972.44
1751.281.221.181.121.082.83
2001.421.351.301.231.183.23
2501.671.581.511.421.354.00
"} {"image_path": "images/1e51e1f46a5b8e65140dfc69f3fa7748.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料厚度/mm淡水深度 5m海水深度 10m备 注
切割电流/A电弧电压/V喷嘴孔径/mm切割速度$/ \\mathrm{m} \\cdot \\mathrm{h}^{-1}$切割电流/A电弧电压/V喷嘴孔径/mm切割速度$/ \\mathrm{m} \\cdot \\mathrm{h}^{-1}$
Q235 低碳钢10450804.228.5----工作气体为$Ar50\\%+\\mathrm{N}_{2} 50\\%$
15+155001104.06.7----
10----3701103.025.2工作气体为 Ar
15----4001203.018.8
20----4801204.09.0
10+105001104.09.254501104.515.5
255001005.08.0----
40----5001404.53.0
1Cr18Ni10Ti 不锈钢10450903.521.9----工作气体为 Ar
16----5001004.028.8
204601204.017.45401154.58.15
405801005.09.05801205.03.4
SiCrCuNi8380903.517.653401003.025.2工作气体为 Ar
10----3501203.014.3
船用碳钢5----3401203.038.75工作气体为 Ar
10360903.519.83601103.021.0
284801204.012.2----
304801204.09.25501004.54.55
20480805.017.8----工作气体为$Ar50\\%+N_250\\%$
28480905.014.0----
305001104.08.5----
405601104.57.85501504.03.8
铝合金20----4801254.010.0工作气体为 Ar
405201205.08.65701304.51.7
404801005.01.9----
"} {"image_path": "images/fd6ac605968ae9d3bf65b4f1ed384da3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
纱 顺序
$209 \\sim 216$1-12-13-14-15-18-17-18-1
$217 \\sim 224$9-110-111-112-113-114-115-116-1
$225 \\sim 232$9-210-211-212-213-214-215-216-2
$233 \\sim 240$9-310-311-312-313-314-315-316-3
$241 \\sim 248$9-410-411-412-413-414-415-416-4
$249 \\sim 256$9-510-511-512-513-514-515-516-5
$257 \\sim 264$9-610-611-612-613-614-615-616-6
$265 \\sim 272$9-710-711-712-713-714-715-716-7
$273 \\sim 280$9-810-811-812-813-814-815-816-8
$281 \\sim 288$9-910-911-912-913-914-915-916-9
$289 \\sim 296$9-1010-1011-1012-1013-1014-1015-106-10
$297 \\sim 304$9-1110-1111-1112-1113-1114-1115-1116-11
$305 \\sim312$9-1210-1211-1212-1213-1214-1215-1216-12
$ 313\\sim 320 $9-1310-1311-1312-1313-1314-1315-1316-13
"} {"image_path": "images/a0a812a0e8f7becb2d3d9ac01460a002.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号建 筑 物 种 类价值(元)
第 27 号小医院350000
第 28 号小医院150000
第 29 号纺纱室350000
第 30 号编筐室400000
第 31 号学生住房750000
第 32 , 33 , 34 号厕所150000
第 35 号谷仓600000
第 36 号谷仓350000
第 37 号牛奶房300000
第 38 号猪 圈100000
第 39 号猪 圈150000
第 40 号厨 房200000
第 41 , 43 号牛 棚550000
第 42 号门房与停尸室
围墙
道路,排水管道,铲平地基
暖气系统包括锅炉
供水系统,主线与支线
电灯照明,接线与装置
50000
1000000
1000000
3500000
600000
300000
总计45500000
"} {"image_path": "images/2544aab9ec7a0b2970eadde15408552e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variables1)CAR2)$\\sigma \\ln T R$ 3)$\\sigma ROA$4)MR
RISK (t-1)$0.387^{***}$0.099$0.601^{***}$$0.382^{***}$
(0.098)(0.217)(0.160)(0.099)
EALER (t-1)$-0.216^{*}$$-0.051^{*}$$0.002^{**}$0.000
(0.117)(0.029)(0.001)(0.003)
ECF(t)-0.0490.999$0.215^{***}$0.114
(2.787)(0.753)(0.073)(0.098)
GDP(t)$-0.325^{***}$0.0140.0020.002
(0.094)(0.019)(0.002)(0.001)
EALEREALEREALEREALER
RISK (t-1)0.0500.176$ -1.066^{**} $0.014
(0.053)(0.382)(0.480)(3.900)
EALER ( $\\mathrm{t}-1)$$0.937^{***}$$0.740^{***}$$0.841^{***}$$0.728^{* *}$
(0.127)(0.112)(0.096)(0.286)
ECF(t)-0.913-1.239-1.2630.155
(1.262)(1.303)(1.285)(5.646)
GDP(t)$-0.160^{***}$-0.055$-0.080^{* *}$-0.075
(0.046)(0.034)(0.035)(0.075)
Hansen's J p-value0.3410.9410.3770.132
Obs151413411346340
"} {"image_path": "images/3c6dfc3ef235b8f9c50163e40223f72b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n
Serial
No.
$N_8$$\\delta(\\mathrm{deg})$$\\phi(\\mathrm{deg})$$\\psi(\\mathrm{deg})$$\\chi(\\mathrm{deg})$Q(Mev),remarks
67060
6
$V^{0} 0$
$V^{\\mathrm{ch}}$
38
59
28
6
76
36
$30-81 \\Lambda^0$
87074
3
$V^{0} 1$
$V^{\\mathrm{ch}}$
16
27
67
14
67
10
$<45 \\Lambda^0$
96787
5
$V_S{ }^0 2$
$S$
141
136
54
54
$18-53 \\Lambda^0$
$K_{\\mu 2}(72-85 \\mathrm{~g} \\text { range, } \\mathrm{Br})$
98163
8
$V^{0} 4$
$V^{\\mathrm{ch}}$
32
19
27
12
27
12
$18-71 \\Lambda^0$
95829
9
$V^0 4.7$
$V^{\\text {ch }}$
$\\cdots$
$\\cdots$
$\\cdots$
$\\cdots$
38
24
$<50 \\Lambda^0$
(produced by neutral primary)
"} {"image_path": "images/bc0d3bc9a4c6bc2b4f3e5672c3670e57.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Time (min)
0306090120150180210240
OD$\\beta-gal$0.0400.0760.13420.251020.382250.604680.998351.471920--
OD$\\beta-gal$0.0600.1000.18540.31990.493330.865031.499531.9022482.42675
OD$\\beta-gal$0.0800.15250.27690.421280.762471.275881.8018302.3519352.452340
OD$\\beta-gal$0.1100.1900.32230.612280.884621.509402.1821102.5021502.813370
OD$\\beta-gal$0.1600.28400.441220.621951.035451·8015432.3823552.5727202.793215
OD$\\beta-gal$0.2200.3700.521960.724081.247482.2320132.2622102.743013--
OD$\\beta-gal$0.3000.44560.631400984452.0016232.2521802.5525202.852705--
OD$\\beta-gal$0.3900·54640.883201.6812652.1218382.41 19852.74 23903.44 3655--
OD$\\beta-gal$0.4800.681251.236091.9515452.2920182.7325753.043280----
OD$\\beta-gal$0.6001.051961.736752.1716572.5523302.9124652.922635----
OD$\\beta-gal$0.8801.16492.0510212.5218432.6923982.9128653.3336203.463910--
OD$\\beta-gal$1.0301.827302.4413892.5716922.8322983.0530003.3631653.713215--
"} {"image_path": "images/072097c94ae919593017109d27a50ce8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
原始规范信 号
PXIPXI_BRSVPXI_CLK10 PXI_CLK10_IN
PXI_LBL[0:12]PXI_LBR[0: 12]
PXI_STAR [0: 12]PXI_TRIG[0:7]
Compact PCIBD_SEL #
BRSVHEALTHY #REQ # [0:6]
CLK[0:6]INTPRSV
DEG #INTSSYSEN #
ENUM #IPMB_PWRSMB_ALERT #
FAL #IPMB_SCLSMB_SCL
GA0 - GA4IPMA_SDASMB_SDA
GNT # [0: 6]PRST #UNC
PCIACK64 #INTD #
AD[0: 63]IRDY #TCK
C/BE[0:7] #LOCK #TDI
CLKM66ENTDO
DEVSEL #PARTMS
FRAME #PAR64TRDY #
GNDPERR #TRST #
GNT #REQ #V(I/O)
IDSELREQ64 #3.3V
INTA #RST #5V
INTB #SERR #+12V
INTC #STOP #-12V
"} {"image_path": "images/659e46cd04588b9467eb63c363799b9b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
,RetRestoration of aChildren with lack of orientationHeart rate.1. DFSS-SF.Before, d
$017^{39}$carious toothand mental and physical2. Clinicalafter 1st
withoutdisabilities.anxiety rating(Examina
administration ofscale and co-visit(drill
local anesthesiaoperativevisit(Loca
and extraction orbehavioranesthes
endodonticrating scale.
procedure that
required
administration of
local anesthesia.
-Availability of DVDChildren not meeting theACDASVAS,1. ACDAS
ankany.facilities at home,inclusion criteria; children with aparent/legal(1st visit)
32healthy childrenlearning disability; children inguardianwatching
with ASA scale ofneed of emergency dentalopinion aboutand imm
class I and II; andtreatment.use ofbefore de
children with amodelingtreatmen
score of $\\geq 26$ onvideo.visit)
ACDAS.2. VAS du
"} {"image_path": "images/446006207d75f3c22026b551b35376ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
酒精计示数
93.093.594.094.595.095.596.096.597.097.598.098.599.099.5100.0
20℃时,用容积百分比表示的酒精浓度
95.295.094.894.694.494.293.993.793.593.293.092.892.592.392.091.891.591.391.090.890.590.290.089.889.589.295.795.595.395.194.894.694.494.394.093.793.593.393.092.892.692.392.191.891.691.391.090.890.690.490.089.896.296.095.795.595.395.194.994.794.494.294.093.893.593.393.192.892.692.392.191.891.691.491.190.990.690.496.696.496.296.095.895.695.495.294.994.794.595.294.093.893.693.393.192.992.692.492.192.091.691.491.291.097.196.996.796.596.396.195.995.695.495.295.094.894.694.394.193.993.693.493.192.992.792.592.292.091.891.697.597.397.196.996.796.596.396.195.995.195.595.395.194.894.694.494.293.993.793.493.293.092.892.692.492.2 98.097.897.697.497.297.096.896.696.496.296.095.895.695.495.194.994.794.594.294.093.893.693.493.192.992.7 98.498.298.097.997.797.597.397.196.996.796.596.396.195.995.695.395.295.094.894.594.394.193.993.693.493.2 98.998.798.598.398.198.097.897.697.497.297.096.896.696.496.296.095.895.595.395.194.894.694.494.193.993.7 99.399.199.098.898.698.498.298.197.997.797.597.397.196.996.796.596.396.195.895.695.495.295.094.894.694.4 99.799.699.499.299.198.998.798.698.398.298.097.897.697.497.297.096.896.696.496.296.095.895.695.495.295.0100.099.899.799.599.499.299.098.998.798.598.398.197.997.797.697.497.297.096.796.596.496.296.095.895.6100.099.899.799.599.399.299.098.898.698.598.398.197.997.797.597.397.196.996.796.596.396.2100.099.899.799.599.399.299.098.898.698.498.398.197.997.797.597.497.297.096.8100.099.899.799.599.399.299.098.898.698.498.398.198.097.897.697.4
"} {"image_path": "images/b1876221005d571f4ba70a1a6ced5003.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
MuestranúmeroResultados de la mediciónValormáx.de lalíneaValormín.de lalínea
1-102.5102.5172.5222.5222.5102.5112.5192.5322.5432.5252.5432.510
11-202.5272.5362.506 2.5412.5122.5152.5212.5362.5292.5242.5412.506
21-302.5292.5232.5232.5232.5192.5282.5432.5382.5182.5342.5432.518
31-402.5202.5142.5122.5342.5262.5302.5322.5262.5232.5202.5342.512
41-502.5352.5232.5262.5252.5322.5222.5022.5302.5222.5142.5352.502
51-602.5332.5102.5422.5242.5302.5212.5222.5352.5402.5282.5422.510
61-702.5252.5152.5202.5192.5262.5272.5222.5422.5402.5282.5422.515
71-802.5312.5452.5242.5222.5202.5192.5192.5292.5222.5132.5452.513
81-902.5182.5272.5112.5192.5312.5272.5292.5282.5192.5212.5312.511
EIvalormáx.2.545EIvalormín.2.502
"} {"image_path": "images/af1bb6c5afe94cc3c7a9f6d84ec4e6fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
16 Complete TypesDichotomous Preferences
ISTJISFJINFJINTJEn=35(41.2%)
7101312In=50$(58.8 \\%)$
8.211.815.314.1
Sn=35(41.2%)
Nn=50(58.8%)
Tn=29$(34.1 \\%)$
Fn=56$(65.9 \\%)$
Jn=64(75.3%)
Pn=21(24.7%)
Pairs and Temperaments
ISTPISFPINFPINTPIJn=42(49.4%)
0062IPn=8$(9.4 \\%)$
0.00.08.32.4EPn=13(15.3%)
EJn=22$(25.9 \\%)$
STn=11(12.9%)
SFn=24$(28.2 \\%)$
ESTPESFPENFPENTPNFn=32$(37.6 \\%)$
0472NTn=18$(21.2 \\%)$
0.04.78.22.4
SJn=31$(36.5 \\%)$
SPn=4$(4.7 \\%)$
NPn=17$(20.0 \\%)$
NJn=33$(38.8 \\%)$
ESTJESFJENFJENTJTJn=25(29.4%)
41062TPn=4(4.7%)
4.711.87.12.4FPn=17(20.0%)
FJn=39$(45.9 \\%)$
INn=33$(38.8 \\%)$
ENn=17(20.0%)
ISn=17(20.0%)
ESn=18(21.2%)
ETn=8(9.4%)
"} {"image_path": "images/d12eb4019c2bdaa1cbaac8c815dbf2c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
厂 名
项 目
上 海
国棉八厂
河北石家庄
国棉三厂
河北石家庄
国棉三厂
山西临汾
纺 织 厂
山西临汾
纺 织 厂
山西襄汾
纺 织 厂
山东济南
国棉二厂
江苏清江
棉纺织厂
江苏江浦
纺 织 厂
陕西第十
棉纺织厂
织 物 名 称$20^{s}\\times 20^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~卡其$$21^{s}\\times 21^{s}$$~~~~~斜纹$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~纱卡$$21^{s}\\times 21^{s}$$~~~~~单卡$
原纱条件原料名称与混和比纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉
纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉纯棉
号(支)数292827.827.827.827.827.8($21^s$)2827.8
292827.827.827.8($21^s$)27.8($21^s$)2827.8
捻 度捻系数:370$16.3/时$17.61/时73.773.717.55/时
捻系数:32815.7/时15.9/时64.664.615.35/时
捻 向ZZZZZ
ZZZZZ
标准干重(克/100米)2.6732.7132.5622.5592.5592.5622.5622.559
2.6732.7132.5622.5592.5592.5622.5622.559
品质指标(分)205020502050
195019501950
用纱量经 纱公斤/千米125.762122.937107.3890.90108.579126.06128.810127.736128.18
纬 纱64.69168.20659.5760.1559.57565.0466.05565.71365.27
合 计166.95151.05168.154191.1193.449193.43
"} {"image_path": "images/d505ea7baf864a5731f5cf9f47dfe751.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
大 陆 名 台 湾 名英 文 名
钢包喂丝盛鋼桶線材給料ladle wire feeding
钢材鋼品steel product
钢带(=带钢)
钢锭鑄錠ingot
钢轨钢鐵軌鋼rail steel
钢号鋼號,鋼等級steel designation, steel grade
钢化玻璃回火玻璃tempered glass
钢结硬质合金鋼結合碳化物steel bonded carbide
钢筋鋼筋reinforcing bar
钢筋钢混凝土鋼筋, 鋼筋用鋼concrete bar steel, reinforcing bar steel
钢类鋼類steel group
钢球轧制鋼球輥軋steel ball rolling
钢丝wire
钢铁脱硫鋼鐵脫硫desulfurization for iron and steel
钢铁脱碳鋼鐵脫碳decarburization for iron and steel
钢纤维鋼纖[維]steel fiber
钢纤维增强耐火浇可澆鑄鋼纖[維]強化耐castable steel fiber-reinforced refractory
注料火材
钢纸硬化紙板,剛紙vulcanized paper
高饱和丁腈橡胶(=氢化丁腈橡胶)
高苯乙烯丁苯橡胶高苯乙烯-苯乙烯丁二烯橡膠styrene-rich styrene-butadiene rubber
高苯乙烯胶乳高苯乙烯乳膠high styrene latex
高比重合金(=高密度钨合金)
高超声速喷涂高超音速噴塗hypersonic spraying
高纯铝高純度鋁high purity aluminum
高纯镁合金高純度鎂合金high purity magnesium alloy
高纯钼高純度鉬high purity molybdenum
高纯铁素体不锈钢高純度肥粒鐵系不鏽鋼high purity ferritic stainless steel
高纯铜高純度銅high purity copper
高纯钨高純度鵭high purity tungsten
高纯氧化铝陶瓷高純度氧化鋁陶瓷high-purity alumina ceramics
高磁导率合金高導磁率合金,高導磁合金,高磁化合金high permeability alloy, permalloy,supermalloy
高磁致伸缩合金高磁致伸縮合金high magnetostriction alloy
高导电复合材料高導電性複材, 高電導複材highly conductive composite,highelectrical conducting composite
"} {"image_path": "images/f2e2c216a47320b4013037aa7c03a23d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ResponseTotal
YesNo
Background envelope30197,163197,193
72200,176200,248
102397,339397,441
"} {"image_path": "images/ad4f4e4b5301a9055b1787d3c81a7186.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DateHourUTCTemperature $\\left({ }^{\\circ} \\mathrm{C}\\right)$Humidity $(\\%)$Pressure (hPa)Wind (m/s)Radiation$\\left(\\mathrm{W} / \\mathrm{m}^{2}\\right)$
Inst.Max.Min.Inst.Max.Min.Inst.Max.Min.Vel.Dir.Raj.
06/09/20130717.218.017.2808075919.8920.2919.73.281°6.817
06/09/20130816.817.216.8828280920.0920.1919.83.1757.5199
06/09/20130915.916.815.9868682920.6920.6920.02.458°6.9458
06/09/20131016.516.515.8838683921.3921.3920.63.277°5.8665
06/09/20131118.118.216.5758375921.5921.5921.24.972°9.1818
06/09/20131220.620.618.1657665922.2922.2921.44.267°9.6905
06/09/20131323.523.520.5526552922.5922.6922.23.751°9.8928
06/09/20131424.625.023.2445244922.2922.5922.24.128°9.8877
06/09/20131526.226.424.6404639921.4922.2921.43.554°8.3737
06/09/20131628.628.625.9324132920.2921920.22.372°7.8521
06/09/20131728.828.827.2293329919.1920919.12.714°6.9257
06/09/20131828.929.528.1273026918.3919.1918.31.951°5.157
"} {"image_path": "images/95c02c054d3eeebd70c661892f942b6b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FrequencyType of
100 K330 KIntensitySymmetrysingularityAssignmentTheoretical symmetry$^a$
54 $m$DATA
8887.5 $S$ $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_1$$2 \\mathrm{TA}(L)$ $\\Gamma_{1}+\\Gamma_{12}+2\\Gamma_{15}$
108106.5 $S$$\\Gamma _1$$P_1P_2$ $2TA(\\Delta\\rightarrow K)$ $\\Gamma_{1}+2\\Gamma_{12}+\\Gamma_{15}$
115112 $w$$\\Gamma _1$$P_2$2TA(W) $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
143143 $m$DALA
160157 $m$ $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_3$ $2\\mathrm{IA}(\\sim K)$ $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
167165 $m$ $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_1P_2$ $\\quad$ TO-TA $(\\Delta\\rightarrow K)$ $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
175176 $m$$\\Gamma _1\\Gamma _{15}$$P_1P_2$TO-TA(L)$\\Gamma_{1}+\\Gamma_{12}+2 \\Gamma_{15}$
196 $m$$\\Gamma_{1}$
220.5217.3 $S$$\\Gamma_{15}$$P_1P_2$$\\mathrm{TO}(\\Gamma)$$\\Gamma_{15}$
233 $w$
242238.6 $S$$\\Gamma _1$$P_1P_2$1LO $(\\Gamma)$ $\\Gamma_{1}$
257253 $w$$\\Gamma _1\\Gamma _{15}$ $\\mathrm{LO}+\\mathrm{TA}(L)$ $\\Gamma_{1}+\\Gamma_{12}+2\\Gamma_{15}$
274270 $S$ $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_1(P_2)$ $\\mathrm{TO}+\\mathrm{TA}(\\Delta\\rightarrow K)$ $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
285279 $S$ $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_1P_2$2LA(L)$\\Gamma_{1}+\\Gamma_{15}$
306 $w$ $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ 2IIA( $\\sim K)$ $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
320320$P_3$ $2\\mathrm{IA}(\\sim X)$\n $\\Gamma_{1}+\\Gamma_{12}$
343339 $m$$\\Gamma _1\\Gamma _{15}$$P_1$ $\\mathrm{LO}+\\mathrm{LA}(L)$ $\\Gamma_{1}+\\Gamma_{15}$
363356 $m$$\\Gamma _1\\Gamma _{15}$$P_1$ $TO+LA(L)$ $\\Gamma_{12}+\\Gamma_{15}$
373365 $S$$\\Gamma _1\\Gamma _{15}$$P_1P_2$$\\mathrm{LO}+\\mathrm{LA}(\\mathrm{X})$$\\Gamma_{15}$
387 $w$ $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $\\mathrm{TO}+\\mathrm{LA}(X)$$\\Gamma_{15}$
405409 $w$ $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ 2LO(L), 2LO(X)$\\Gamma_{1}+\\Gamma_{15} ; \\Gamma_{1}+\\Gamma_{12}$
425 $w$ $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $\\mathrm{TO}+\\mathrm{LO}(L), \\mathrm{TO}+\\mathrm{LO}(X)$$\\Gamma_{15} ; \\Gamma_{12}+\\Gamma_{15}$
437432 $S$$\\Gamma_{1}\\left(\\Gamma_{15}\\right)$$P_1P_2$$\\mathbf{2 T O}(\\Delta, \\Sigma, \\Lambda)$$\\Gamma_{1}+2 \\Gamma_{12} ; \\Gamma_{1}+\\Gamma_{12}+2 \\Gamma_{15}$
451445 $m$$\\Gamma _1\\Gamma _{15}$$P_1P_2$ $\\mathrm{O}_{5}+\\mathrm{O}_{6}$ (hex)
460456.5 $S$ $\\Gamma_{1}\\left(\\Gamma_{15}\\right)$ $P_1$$\\mathrm{TO}+\\mathrm{LO}(\\Gamma)$ $\\Gamma_{1}+\\Gamma_{12}+\\Gamma_{15}$
464 $S$$\\Gamma _1$$P_{2}$
475 $w$$\\Gamma_{1}\\Gamma_{15}$2O(?)
484479 $S$$\\Gamma _1$$P_1P_2$2LO $(\\Gamma)$$\\Gamma_{1}$
"} {"image_path": "images/bbf4b098e4b38466d5e0692977acbfd6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n
Carbonyl compdRegistryno. ProductYield, %$^b$Reagent$^c$
EZ
Benzaldehyde
100-52-7
Stilbene
73
21
5
21
A
B
p-Methoxybenzaldehyde
123-11-5
p,p'-Dimethoxystilbene
76
39
6
24
A
B
p-Chlorobenzaldehyde
104-88-1
p,p'-Dichlorostilbene
63
36
2
26
A
B
p-Methylbenzaldehyde
104-87-0
p,p'-Dimethylstilbene
57
29
3
14
A
B
Benzophenone
119-61-9
Tetraphenylethylene
43
3
A
B
Acetophenone
98-86-2
1,2-Dimethylstilbene
20
3
13
4
A
B
Propionaldehyde
123-38-6
3-Hexene
18 (E,Z)A
Cyclohexanone
108-94-1
Cyclohexylidenecyclo-hexane
55
0.2
A
B
"} {"image_path": "images/71039e78cae3d21c272da9e40282aa11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
條之九以下規定,以取得銷售專屬期間,併此敘明。審查會 :本條之行政院提案保留,送黨團協商。
(修正通過)第四十八條之十九 新藥藥品許可證申請人、新藥藥品許可證所有人、學名藥藥品許可證申請人、學名藥藥品許可證所有人、藥品專利權人或專屬被授權人間,所簽訂之和解協議或其他協議,涉及本章關於藥品之製造、販賣及銷售專屬期間規定者,雙方當事人應自事實發生之次日起二十日內除通報中央衛生主管機關外,如涉及逆向給付利益協議者,應另行通報公平交易委員會。前項通報之方式、內容及其他應遵行事項之辦法,由中央衛生主管機關會同公平交易委員第四十八條之十九 新藥藥品許可證申請人、新藥藥品許可證所有人、學名藥藥品許可證申請人、學名藥藥品許可證所有人、藥品專利權人或專屬被授權人間,所簽訂之和解協議或其他協議,涉及本章關於藥品之製造、販賣及銷售專屬期間規定者,雙方當事人應自事實發生之次日起二十日內通報中央衛生主管機關。前項通報之方式、內容及其他應遵行事項之辦法,由中央衛生主管機關定之。中央衛生主管機關認第一項通報之協議有違反公平交易法之虞者,得通報公平交易委員行政院提案 :一 、$\\underline{\\text{本條新增}}$。二 、為避免新藥藥品許可證申請人、新藥藥品許可證所有人、學名藥藥品許可證申請人、學名藥藥品許可證所有人、藥品專利權人或專屬被授權人間,達成不公平或限制競爭之協議,阻礙其他學名藥之上市,不當影響病人用藥、公共衛生與市場交易秩序,爰於第一項規定,若簽訂涉及本章相關規定之協議,應由當事人通報中央衛生主管機關,中央衛生主管機關認為有違公平交易法之疑慮時,依第三項規定通報公平交易委員會。三 、有關通報之相關事項,於第二
"} {"image_path": "images/636d8a741d773ffe3cf529d5c5586fac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
牌号化 学 成 份(%)粒 度目硬 度 使用工艺条件适用范围生 产 厂
FeNiCrBSiC其它
粉302余量30544-150HRC55喷焊 耐磨, 用于轴类、密封环 上海有色金属焊接材料厂
粉305粉302 + 25%WC-150HRC55喷焊 耐磨性好,用于犁、耙、铲
轨铁粉余量3051.53-150HRC28喷焊 抗疫劣好,用于钢轨
粉313余量151.5$ \\begin{matrix} - 1 5 0 \\sim \\\\ + 3 0 0 \\end{matrix} $HB250喷涂 耐磨性较好,用于轴类
粉314余量181.5$-150 \\sim$ $+300$HB250喷涂 耐磨性较好,用于轴类
粉316余量151.52$ \\begin{array}{l}-150 \\sim \\\\ +300\\end{array} $HB400喷涂 耐磨性好,用于滚筒
Fe03余量28~324~62~33~40.4~0.6HRC38~42喷焊 用于钢轨接头, 模具, 农机场磨损件 浙江省冶金所
"} {"image_path": "images/13d04be6e87f0e39d875e415c4351c3a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
试验号浮选药剂/$kg·t^{-1}$矿 种产率/%分析品位/%锰回收率/%浮选时间/min备 注
苛性钠碳酸钠丹宁酸水玻璃松根油油酸豆油脂肪酸Mn$SiO_2$Fe
7452 30.40.80.10.6原 矿
精 矿
中 矿
尾 矿
矿 泥
100.00
57.80
6.40
24.00
11.80
22.52
27.35
19.21
12.82
20.41
24.24
15.24
22.74
48.94
18.91
12.57
11.79
12.53
14.76
11.98
100.00
70.19
5.46
13.66
10.69
20
20
20
150 目磨矿
"} {"image_path": "images/86e133c1975df3b439a6cd151cf85c89.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n
Expt. No.Measurement regionDisplacementsof periphery, $\\mu$Depth fromthe earth's surfaceStresses,$\\mathrm{kg} / \\mathrm{cm}^{2}$$\\lambda=\\left|\\frac{p}{q}\\right|$Angle be-tween direc-tion of max. stress andvertical
$U_{1}$$U_{2}$$U_{3}$qp*
1Pill&r between cross holes-1502942356019-60,3217
2301202406024-20,0853
3In zone of influence ofworking face961021026010101.8
43005105406024160,672
118527010022449240,4825
12Near junctions ofworkings1575552241360,4835
134080852241590,5825
148515513024018130,7382
5Outside zone of influ-ence of face andjunctions962752406022120,5575
61201601807025190,7620
71082222047520130,6564
89234818824031180,587
910042026424036190,530
1018531527024046350,768
1512066561024059220,3825
"} {"image_path": "images/7c518c037c665a27daaa83da8ae314af.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableUpright face condition: Predicted-cued (ms)
Study 1Study 2
LowHighLowHigh
Early PDLate PDEarly PDLate PD
Enmeshment$10.54 \\mathrm{~ms}$21.38 ms18.72 ms$61.12 \\mathrm{~ms}$
Partner-perceived lack of autonomy6.68 ms19.8 ms41.26 ms4.3 ms.82 ms57.52 ms
Partner marital satisfaction$16.78 \\mathrm{~ms}$9.66 ms $-6.08~ms$ $109.18 \\mathrm{~ms}$$21.84 \\mathrm{~ms}$ $-15.32~ms$
"} {"image_path": "images/17ca988a868464c7682e57a8965ac9ab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GB/T 20878 美国ASTMA959 日本
JIS G4303
JIS G1311
国际
ISO 15510
ISO 4955
欧洲EN 10088:1EN 10095 俄罗斯ГОСТ5632
不锈钢类别新牌号旧牌号
超级奥氏体不锈钢015Cr20Ni18Mo6CuN 254SMO(商业牌号)S31254X1CrNiMo
N20-18-7
X1 CrNiMo
N20-18-71.4547
AI-6XN(商业牌号)N083671.4501
015Cr24Ni22
Mo8Mn3CuN
654SMO(商业牌号)S32654 X1CrNiMo
CuN24-22-8
X1 CrNiMoCuN
24-22-8
1.4652
双相不锈钢 022Cr33
Ni5Mo3N
S32205,2205
022Cr25
Ni7Mo4N
S32705,2507X2CrNiMo
N25-7-4
X2CrNiMoN
25-7-4,1.4410
沉淀硬化不锈钢 05Cr17
Ni4Cu4Nb
0Cr17Ni4
Cu4Nb
S17400,630SUS630 X5CrNi
CuNb16-4
X5CrNiCu
Nb16-4,1.4542
07Cr17
Ni7Al
0Cr17Ni7AlS17700,631SUS631X7CrNi17-7X7CrNi17-7,1.456809Х17Н7Ю
"} {"image_path": "images/0a23e915eaea248b887ce4316789c485.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleT °C
$A_{f}$$A_{s}$$A^∗$ $O_{s}$$O^∗$ $R_{5}$$R^∗$ Ms$M_{f}$$M^∗$ $\\Delta\\mathrm{T}$
$\\mathrm{Ni}_{50.8}\\mathrm{Ti}_{49.2}$20714----7-1.53$ \\mathrm{A}^{∗}-\\mathrm{M}^{∗}=11 $
$ \\mathrm{Ni}_{45}\\mathrm{TiCu}_{5} $40~2734$25^{\\mathrm{H}}$$33.5^{\\circ}$$30^{\\mathrm{H}}$$37.5^{\\circ}$---1822$\\mathbf{A}^∗-\\mathbf{M}^∗=12$$\\mathbf{A}^∗-\\mathbf{O}^∗=6.5 $
Bi-layer1 st zone8-24- ---5-12-1.5$A^{∗}-M^{∗}=5.5$
2nd zone54~4449- -$37^{\\mathrm{H}}$$46^{\\mathrm{C}}$$44^{\\mathrm{H}}$$44^{\\mathrm{C}}$~432937$$ \\begin{align*}A^{∗}-M^{∗} &= 12\\\\ A^{∗}-R^{∗} &= 5\\end{align*} $$
"} {"image_path": "images/4c086f6ec5d3fe159df4146d5d888802.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
钢 号板 厚mm$\\sigma_b \\\\(\\mathrm{kgf/\\\\mm^2})$在下列温度(℃)下的 $\\sigma_{s}^{t}\\left(\\sigma_{0.2}^{t}\\right)$$(kgf/mm^{2})$在下列温度('C')下10万小时持久限$\\sigma_{D}^{t}$$ (kgf/mm^2)$
20100150200250300350400450500400425450475500
$A3$$\\leqslant 20$382422212018.51715.514.5
21~40382321201917.5161514
42~60382220.518.51715.513.5
20g6~16412523222119.51816.515.514.517.3 .3139.36.2
17~2541242221201917.5161514
26~604123212019181715.514.513.5
16Mn$\\leqslant$1652353230.528.526.524.52321.520.519.114.310.16.5
17~2550333028.527252321.520.519.5
26~36483128.52725.5242220.519.518.5
38~5048292725.52422.52119.518.517.5
15Mn V R6~16544036.534.532.530.528.526.524.52321.3159.85.7
17~26523835333129272523.522.5
27~36523633.531.529.531.529.528262422.521.5
38~60503432302826.524.52321.520.5
"} {"image_path": "images/5e7d781e2ad8ab5696dced8dc49903e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Q=0.05Q=0.1Q=0.15
n $u_{01} / v_{ {th }}$$u_{02} / v_{ {th }}$n$u_{01} / v_{ {th }}$$u_{02} / v_{\\text {th }}$n$u_{01} / v_{ {th }}$$u_{02} / v_{\\text {th }}$
01.3311.4001.376.00 1.434.46
11.385.3211.583.2modes with n > 0 not excitable
21.483.93modes with n > 1 not excitable
31.633.02
41.862.26
modes with n > 4 not excitable
"} {"image_path": "images/089ec26e3a679bdc788a4d8f8212c6e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ПоказателиГрануляцияшлака печейОхлаждение кес-COHOBшахтныхпечейразливка медиГрануляцияОбщийсток гра-нуляциишлакаи разли-ВОЧНЫХмашин
отража-тельныхшахтныханодной вайер-барсовоймедишлака
TemnepaTypa, °C . . . . . . . . .20311980445734-
Цвет.........ЖелтоватыйТемно-серыйКорич-невый
Запах....................... Без запахаСерни-стогогаза(резкий) БеззапахаKepo-сина
Прозрачность, см....................0000000Мутная
pH.............6,66,86,97,97,41,47,98,7
Кислотность, мг-экВ/л .......- $-$ -7,10,2-
Щелочность, мг-экв/л……10,656,80,851,3-3,61,2
Грубодисперсные примеси, мг/л:
общие …….....90068061019003120230039044 250
прокаленные..................800620520166028302010-34 690
потеря при прокаливании ......1006090240290290-9 560
Объем осадка после 2-ч отстаивания, %0,220,370,260,50,461,6-1,6
"} {"image_path": "images/e57ad7383c4290571c8ea5e825811096.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ToothFemaleMale
LeftP*RightLeftP*Right
AMTLn%AMTLn%AMTLn%AMTLn%
UI171534.60.98071514.691058.61.00091058.6
UI271514.60.99071504.771046.70.3241110410.6
UC31472.00.72241452.841043.90.74861045.8
UP31615210.50.331111507.31710516.20.9521710715.9
UP41615210.50.583131508.71910617.90.5132310721.5
UM12015213.20.4842415016.02110819.40.7352310821.3
UM22015013.30.6291714811.51310512.40.5671610615.1
UM381087.40.0521811415.8118812.50.884119411.7
Maxilla9711658.30.73310111588.710182512.20.31911683513.9
LI1121597.60.569151619.31413410.50.709121329.1
LI231591.90.33671604.4101337.50.31061324.6
LC51583.20.77071604.451323.80.44721311.5
LP361613.70.77771614.481346.00.21731332.3
LP4111616.80.829121617.5101307.70.972101327.6
LM12716116.80.9022816217.31713312.80.7061513311.3
LM2151629.30.986151619.3131339.80.5411613212.1
LM31513711.00.321101347.591147.90.5461211810.2
Mandible9412587.50.61010112608.08610438.20.4137610437.3
Total19124237.90.54820224188.4187186810.00.829192182810.2
"} {"image_path": "images/c9cc15fe120151a889e78515fce4811e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
五金制品
材料编码材料名称规格型号及特征计量单位清单编制说明池州市区东至城区石台城区青阳城区九华山
柯村景区
0927A05B19C77BW耐碱玻璃纤维网布ARNP 160g/m² 1200N/50mm JC/T841-DB34/T 1949$m^{2}$1.标准:《耐碱玻璃纤维网格布》JC/T 841-2007《挤塑聚苯板薄抹灰外墙外保温系统应用技术规程》DB34/T 1949-2013
2.分类指标:普通型:单位面积质量≥160g/m²,断裂强力(经、纬向)≥1200N/50mm加强型:单位面积质量≥300g/m²,断裂强力(经、纬向)≥2000N/50mm
3.代号:AR~耐碱玻璃;NP~涂覆处理的网布
3.103.503.163.903.953.95
0927A05B19C79BW耐碱玻璃纤维网布ARNP 300g/m² 2000N/50mm JC/T841-DB34/T 1949$m^{2}$4.544.524.634.654.644.64
0315A05B07C55BW钢板网0.8mm GB/T 33275$m^{2}$1.标准:《钢板网》GB/T33275-2016
2.厚度:0.8mm、1.0mm、1.2mm
5.897.016.787.027.017.01
0315A05B07C57BW钢板网1.0mm GB/T 33275$m^{2}$7.217.807.918.288.258.25
0315A05B07C58BW钢板网1.2mm GB/T 33275$m^{2}$8.209.049.049.629.609.60
3501A05B03BW复合木模板$1830 \\times 915 \\times 18 \\mathrm{~mm} \\quad \\mathrm{~GB} / \\mathrm{T} \\quad 17656$m21.标准:《混凝土模板用胶合板》(GB/T 17656-2018);2.分类:素板、涂胶板、覆膜板;28.91
3503A01B03CB脚手架钢管DN50 GB/T 13793、GB/T 3091kg1. 标准:《直缝电焊钢管》GB/T13793-2016、《低压流体输送用焊接钢管》GB/T 3091-20154.43
3504A11B00CB脚手架钢扣件对接、直角、旋转 GB/T 15831kg1.标准:《钢管脚手架扣件》(GB15831-2006)5.65
"} {"image_path": "images/98c8936945bdfc9e307b9031e5e4808b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ColumnComponentCoefficientsConvergencePressure$\\begin{array}{c}\\text { Temperature } \\\\\\text { Range } \\\\\\circ \\mathrm{F} .\\end{array}$
$a_{1}$$a_{2} \\times 10^{2}$$a_{3} \\times 10^{4}$$a_{4} \\times 10^{7}$
DepropanizerEthylene1.15031.21280.34415-0.90236700-50≤T≤350
Ethane0.775450.783910.25035-0.38586
Propylene0.280830.403540.16863-0.23811
Propane0.223450.326680.20646-0.32714
Isobutylene0.0783000.146570.12992-0.11892
n-Butylene0.0783000.146570.12992-0.11892
Butadiene0.0717280.133600.13794-0.12929
Butanes0.0709750.128260.13308-0.12972
Pentanes0.0143780.0464410.088349-0.047973
C6+0.00567390.0147720.0385790.035799
DebutanizerPropane0.358260.732490.60130-0.588892000-50≤T≤350
Isobutylene0.0584000.189490.40339-0.26208
n-Butylene0.0584000.189490.40339-0.26208
Butadiene0.0607390.151090.39292-0.23942
Butanes0.0532280.176340.40313-0.24788
Pentanes-0.00374370.0262710.171850.089051
C6+0.000941130.00160360.0407230.23500
De-ethanizerEthylene1.07730.986940.28822-0.71919650-50≤T≤350
Ethane0.768030.738720.16390-0.24646
Propylene0.296110.396400.12429-0.17037
Propane0.239330.320910.16514-0.25333
Isobutylene0.0833750.145610.12306-0.12660
Ethane-Ethylene
Splitter
Methane8.27624.6127-0.54762-2.8889710-100≤T≤150
Ethylene1.60631.69150.48413-0.074070
Ethane1.06131.20900.35397-0.21481
Propylene0.330160.513840.236750.11482
Propane0.276920.440820.209840.12593
"} {"image_path": "images/2310b466699293a51742fe11edfd34df.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
alnrs
i.8214
ii.70.39.919
iii.16531
"} {"image_path": "images/6d3e20fc307c3c87a0f796c4ed2ce532.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓 名性别出生年月籍 贯参加革命年月入党团年月牺牲年月牺牲地点牺牲时所在单位牺牲时职务备 注
丁国栋1930贵州省岚冈县蜂岩区天桥公社七一大队新光生产队19517●朝 鲜 中国人民志愿军补训十师四十九团战士
向国华1936$1_●$贵州省凤冈县蜂岩区桃坪公社新华大队龙润生产队1951$5_●$1952朝 鲜中国人民志愿军三十八军一一四师三四〇团战士
袁绍华19292●贵州省凤冈县蜂岩区蜂岩公社中山大队毛坡生产队1951$7_●$19533.12华东某地 中国人民解放军八十五师二五四团三营四连战士
王全智1928$11_●$贵州省岚冈县蜂岩区朱场公社1951团员1953朝 鲜 中国人民志愿军某 部战士
陆恩庆1931贵州省凤冈县蜂岩区朱场公社巡检大队1951$7_●$1952朝 鲜中国人民志愿军某 部战士
"} {"image_path": "images/f22f4ca95f855ae44c77f5be36e0bb55.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
V、I
OT
"} {"image_path": "images/d061d596c4f0311a2e293b0f75fb529f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
人: 日期:
建築物名稱(地點):
日期内容
不合
校 作使用正常。
樓 、 使用正常。
教室 、 使用正常。
使用正常。
( 及 )使用正常。
外 外 及 。
外 、 , 保 度。
内 。
、 。
有 。
料 。
地 室 對於不 之地 室 以 。
地面平 , 情形。
校舍 建 處 全。
使用 校舍建築 全。
有 、 的 。
的 周 全 、 正常。
樓 。
樓 的地面 情況。
樓 間 置照 設 。
樓 間 、 。
、 。
"} {"image_path": "images/2042a35f60c0f18e3cbdbfd553f7c6d7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n
ItIANALYTICAL
SOLUTION
I r = 0,5
m = 2,n = 0
I r = 1
m = 2,n = 0
I
II III
I------I---------------I---------------I---------------I
I0.05I0,629 614I0.629 602I0,623 040I
IIIII
I0.10I0,384 647I0.384 673I0,376 277I
IIIII
I0.15I0,234 830I0.234 859I0,227 207I
IIIII
I0.20I0,143 363I0,143 389I0,137 194I
IIIII
"} {"image_path": "images/3e20bc5b75a2e1ede7d3e5c4f61413dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
102TobaccoChinese Demand for stipulation made by tho workereof Win Tai ToBacco Co. 4 males200 females14 children1 companyOct. 27-No Burean ofSorial AffaimSettlement pending
103FuelDemand for stipulation made by the FuelLucl Labor Union2,264 males283 storesOct. 28-\"\"\" \"
104SilkWeaving\"Protest made by Doo Shen Dah, a worker ofSing Kee Silk Weaving Mill, against themanagement's refusal of paying him duringthe period when he served the labor union1 male1 millOrt. 28-\"\"\" \"
105Machinery\"Disnissal of old workers by a new contractorof Chung Hwa Iron works15 males1 mi lOct 29-\"\"\" \"
106Candle\"The Candle Makers' demand for stipulation250 males41 storesOct. 30-\"\"\" \"
107Meat\"Domand for stipulation made by theemployees of duck stores193 males64 storesOct. 31-\"\"\" \"
"} {"image_path": "images/cc13d29a91cc971cda95f01e5dfafca3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Treatments$\\begin{array}{c}\\text{I associates}\\\\{{B_0}^{\\prime}\\times {B_1}^{\\prime}+{B_1}^{\\prime}\\times {B_0}^{\\prime}}\\end{array}$ II associates${{B_{1}}^{\\prime}\\times {B_{1}}^{\\prime}}$
1234567891234567899
1011100100000011011
2101010010000101101
3110001001000110110
4100011100011000011
5010101010101000101
6001110001110000110
7100100011011011000
8010010101101101000
9001001110110110000
"} {"image_path": "images/94794f1a7ff60d7bde296d02c638b7f6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Exp.\\dagger$OrganismStart date,timeExposureInitialno.per bag
Dura-tion (d) UVR(expo-suredays)Final survivors per bag
UV shieldedUV exposedMortality ratecoefficient
MeanSEMeanSEUVROther
1Asplanchna27 June, 20302.51.293023.32.050.00.001.260.10
3Asplanchna8 July, 18301.80.62157.40.470.00.001.110.39
1Bosmina27 June, 20302.5 1.293011.71.470.60.421.190.38
2Bosmina5 July, 20301.80.553015.81.535.90.680.550.36
4Bosmina11 July, 13002.10.473019.31.359.71.340.330.21
3Ceriodaphnia8 July, 18301.80.623024.11.8310.51.540.460.12
4Ceriodaphnia11 July, 13002.10.473026.91.1523.51.670.060.05
5Ceriodaphnia1. Jullis, 21001.80.543021.31.5311.91.140.320.19
"} {"image_path": "images/c63d1284a8bdfd7f00b177d0a20ceec5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
hrName0$\\wr$33$\\wr$66$\\wr$1212$\\wr$2424$\\wr$4848$\\wr$72
I.Y.R
C
20.6
20.6
20.1
40.7
9.9
50.6
4.3
54.9
0.9
55.8
0
55.8
S.S.R
C
17.2
17.2
21.4
38.5
12.2
50.7
7.3
58.0
5.8
63.8
0.3
64.1
Y.K.R
C
17.7
17.7
19.0
36.8
10.8
47.6
8.3
55.9
5.1
61.0
0.5
61.5
U.W.R
C
21.7
21.7
14.5
36.2
14.7
50.9
9.9
60.9
2.8
63.6
0.5
64.1
K.H.R
C
4.0
4.0
49.6
53.6
8.5
62.0
8.7
70.7
2.5
73.3
0.9
74.2
J.U.R
C
17.7
17.7
22.7
40.3
13.4
53.7
9.5
63.2
4.0
67.2
0.6
67.7
Y.Y.R
C
32.4
32.4
15.7
48.1
11.9
59.9
2.5
62.5
0.6
63.1
0
63.1
"} {"image_path": "images/c70ac46020782fc6c3ea1ed85b44c93e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
固定资产原值
全区
不含经开区
2023年2022年2023年2022年
总 计24377118202101691528827912474304
1、按经济类型分
国有企业2379682402621706520274
集体企业
股份合作企业4298
联营企业
有限责任公司20810791650831541926453487
股份有限公司13333321021415571894538293
私营企业155001421231393397379777291512
港澳台投资企业3249283325035727728942692114
外商投资企业1975313172907216465231478625
2、按行业大类分
非金属矿采选业
农副食品加工业21608352160835
食品制造业6301556556755535
酒、饮料和精制茶制造业
烟草加工业
纺织业638094564785575389510015
纺织服装、服饰业3445932076113829062
皮革、毛皮、羽毛及其制品和制鞋业8051818759886212
木材加工及竹、藤、棕、草制品业23052920778976797461
家具制造业46248373121545612338
造纸和纸制品业17230311509753184587
印刷和记录媒介复制业992371020714641550925
"} {"image_path": "images/091b06398854d043edd69b631a89f5eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\surd_s$(MeV)$\\left\\langle q^{2}\\right\\rangle$(a)(b)(c)(d)(c)(f)$\\sigma(\\mathrm{no} .)^{* *}$$|G|$
(GeV $^{2}$)Bhabhaμμ$a \\times \\Sigma_{h} / \\Sigma_{u}$$\\int{\\mathcal{L}}_{\\mathrm{d}t}$$\\bar{p}p$Acceptance $\\bar{p}p$for $\\left|G_{\\mathrm{E}}\\right|=\\left|G_{\\mathrm{M}}\\right|$
1975-20254.0954569468056.22 $0.52 \\pm 0.02$$ 0.76 \\pm 0.16 $$0.26 \\pm 0.03$
2025-20754.21221688588677.24$0.56 \\pm 0.02$$ 0.56 \\pm 0.11 $$0.22 \\pm 0.02$
2075-21254.41215386188280.200.58-0.020.44+0.100.19+0.02
2125-21754.6 11980 84086982.170.58*0.35+0.090.17+0.02
2175-22254.8990369772071.190.58-0.02 0.45+0.10 0.19+0.02
2225-22505.0287320520821.30.58*$0.24 \\pm 0.14$$0.14 \\pm 0.04$
586604182
"} {"image_path": "images/b6f2b9419bc1792b36152a6bea4db583.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
性别年龄组例数分析项目测量项目男 性女 性
青 年 组成 年 组中 年 组青 年 组成 年 组中 年 组
241155119248162124
$\\overline{\\mathrm{X}} \\pm \\mathrm{S}_{\\overline{\\mathrm{X}}}$S$\\overline{\\mathrm{X}} \\pm \\mathrm{S}_{\\overline{\\mathrm{X}}}$S$\\overline{\\mathrm{X}} \\pm \\mathrm{S}_{\\overline{\\mathrm{X}}}$S$\\overline{\\mathrm{X}} \\pm \\mathrm{S}_{\\overline{\\mathrm{X}}}$S$\\overline{\\mathrm{X}} \\pm \\mathrm{S}_{\\overline{\\mathrm{X}}}$S S$\\overline{\\mathrm{X}} \\pm \\mathrm{S}_{\\overline{\\mathrm{X}}}$S
头最大长$189.33 \\pm 0.39$6.01$ 189.72 \\pm 0.45 $5.63$188.21 \\pm 0.48$5.23$ 181.34 \\pm 0.34 $5.37$180.38 \\pm 0.41$5.16$ 180.28\\pm 0.54 $5.97
头最大宽$149.77 \\pm 0.32$4.94$148.95 \\pm 0.43$5.38$148.50 \\pm 0.33$4.10$145.54 \\pm 0.36$5.62 4.42$144.73 \\pm 0.35$4.45$144.33 \\pm 0.39$4.37
额最小宽$ 107.60 \\pm 0.28 $4.28$ 106.12 \\pm 0.34 $4.20$106.48 \\pm 0.39$4.24$105.48 \\pm 0.28$4.42$104.53 \\pm 0.30$3.81$103.52 \\pm 0.36$3.99
面 宽$138.41 \\pm 0.35$5.48$138.26 \\pm 0.41$5.11$138.64 \\pm 0.43$4.65$134.78 \\pm 0.31$4.82$132.94 \\pm 0.33$ 4.23$131.91 \\pm 0.43$4.75
两下颌角宽$106.14 \\pm 0.34$5.35$107.61 \\pm 0.47$5.56$106.83 \\pm 0.53$5.73$102.95 \\pm 0.28$4.47$102.27 \\pm 0.37$4.66$101.25 \\pm 0.40$4.4
容貌面高$187.48 \\pm 0.53$8.18$ 189.26 \\pm 0.71 $8.86$190.18 \\pm 0.70$8.77$181.88 \\pm 0.52$8.24$181.89 \\pm 0.57$7.31$181.50 \\pm 0.80$8.87
形态面高$118.11 \\pm 0.35$5.45$119.26 \\pm 0.50$6.20$119.94 \\pm 0.64$6.99 6.99$111.34 \\pm 0.35$5.47$111.64 \\pm 0.42$ 5.37$ 110.67 \\pm 0.54 $6.07
鼻 高 (se)$49.23 \\pm 0.22$3.34$50.10 \\pm 0.29$3.57$50.93 \\pm 0.35$3.77$46.73 \\pm 0.21$3.36$47.12 \\pm 0.26$3.3747.85 $\\pm 0.33$3.66
鼻 宽 $36.47\\pm 0.20$ 3.15 $36.93\\pm 0.23$ 2.81 $37.27\\pm 0.22$ 2.40$34.48 \\pm 0.13$2.08$33.65 \\pm 0.16$2.09 $34.56 \\pm 0.29$ 2.27
口 裂 宽 $52.18\\pm 0.26$ 3.99$ 53.04 \\pm 0.26 $3.20$54.26 \\pm 0.34$3.72$49.85 \\pm 0.21$3.25$51.19 \\pm 0.23$2.99 $51.85\\pm 0.27$ 2.97
唇皮部高$13.22 \\pm 0.13$2.06$14.13 \\pm 0.20$2.44$15.39 \\pm 0.22$2.39$12.17 \\pm 0.13$2.01$12.67 \\pm 0.16$2.02$ 13.74 \\pm 0.19 $2.16
两 唇 厚$21.99 \\pm 0.15$2.35$20.92 \\pm 0.21$2.60$19.02 \\pm 0.29$3.17$20.57 \\pm 0.14$2.15$19.60 \\pm 0.17$ 2.19$ 18.33 \\pm 0.24 $2.68
上 唇 厚$10.45 \\pm 0.09$1.35$9.94 \\pm 0.12$1.44$9.16 \\pm 0.15$1.67$9.75 \\pm 0.08$1.22 $9.28\\pm 0.10$ 1.23$8.71 \\pm 0.13$1.40
头 指 数$79.07 \\pm 0.20$3.13$78.56 \\pm 0.32$3.52$78.95 \\pm 0.20$2.76$80.32 \\pm 0.21$3.27 $80.25\\pm 0.27$ 3.38$ 80.12\\pm 0.25 $2.77
容貌面指数$135.49 \\pm 0.45$7.02$ 136.93 \\pm 0.67 $7.33$137.29 \\pm 0.63$6.93$135.20 \\pm 0.47$7.51$ 136.77 \\pm 0.50 $6.41 $137.29\\pm 0.68$ 7.61
形态面指数$85.41 \\pm 0.30$4.73$86.56 \\pm 0.48$5.19 $86.60 \\pm 0.52$ 5.72$82.58 \\pm 0.31$4.95$83.98 \\pm 0.36$4.59$ 83.95 \\pm 0.44 $4.94
鼻 指 数$74.63 \\pm 0.44$6.88$73.77 \\pm 0.54$6.71$73.46 \\pm 0.63$6.90$74.03 \\pm 0.44$6.95$71.74 \\pm 0.52$6.60$ 72.72 \\pm 0.64 $7.10
身 长$1625.42 \\pm 3.47$53.89$1618.79 \\pm 4.22$52.57$1599.50 \\pm 5.38$58.66$1525.46 \\pm 3.08$48.58$1524.23 \\pm 3.95$50.30 $512.99\\pm 4.04$ 14.99
体 重 (公斤)$54.89 \\pm 0.33$5.16$54.66 \\pm 0.41$5.13$52.78 \\pm 0.57$6.24$50.38 \\pm 0.29$4.57$49.37 \\pm 0.45$5.79$ 48.06 \\pm 0.57 $6.35
指 距$ 1687.98 \\pm 4.47 $69.18$1682.86 \\pm 5.54$68.93$1661.7 \\pm 6.95$75.851563. $10 \\pm 4.25$66.97$1564.71 \\pm 5.38$68.43$ 1540.29 \\pm 5.67 $63.17
指距/身长指数$103.82 \\pm 0.15$2.37$103.96 \\pm 0.20$2.52 $103.86 \\pm 0.24$2.62$102.43 \\pm 0.16$2.50$102.61 \\pm 0.18$2.35$101.85 \\pm 0.22$2.40
"} {"image_path": "images/def6ca029dbcd2250e4486d3e9872038.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目注 塑 类挤 出 扁 丝 类
PP H-MD-012PP H-MD-022PP H-MD-045PP H-MD-075PP H-MD 105PP H-TD-022PP H-TD-045
优级一级合格优级一级合格优级一级合格优级一级合格优级合格优级一级合格优级一级合格
熔体流动速率,g/10min1.1~1.90.9~2.12.2~3.81.8~4.23.8~6.23.0~7.05.2~8.84.2~9.88.2~146.6~151.7~2.91.4~3.22.6~4.42.1~4.9
等规指数,% ≥9692969296929692969296929692
粉末灰分,% ≤0.020.030.050.020.030.050.02 0.030.050.020.030.050.020.030.050.020.030.050.020.030.05
氧含量,% ≤0.0100.0200.0250.0100.0200.0250.010 0.0200.0250.0100.0200.0250.0100.0200.0250.0100.0200.0250.0100.0200.025
挥发分,% ≤0.20.40.20.40.20.40.20.40.20.40.20.40.20.4
表观密度,g/cm$^2$ ≥0.450.430.400.450.430.400.450.430.400.450.430.400.450.430.400.450.430.400.450.430.40
拉伸回服强度,MPa ≥31.030.027.031.030.027.031.030.027.031.030.027.031.030.027.031.530.528.031.530.528.0
"} {"image_path": "images/96ab64e1dced2674e50a0397bc518a2f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
3000BC2500BC2000BC1500BC1000BC
Balgatheran 4 (2)3.114.48---
Knowth4.64----
"} {"image_path": "images/fa9be5ae97831995b63ea62d9cd1d016.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
代 号A*B*C D
等 级
公称尺寸(毫米)9119111289117891011
$>200 \\sim 225$+855
+740
+1030
+740
+495
+380
+670
+380
+840
+380
+332
+260
+375+260+550
+260
+216
+170
+242
+170
+285
+170
+355
+170
+460
+170
$>225 \\sim 250$+935
+820
+1110
+820
+535
+420
+710
+420
+880
+420
+352
+280
+359
+280
+570
+280
$>250 \\sim 280$+1050
+920
+1240
+920
+610
+480
+800
+480
+1000
+480
+381
+300
+430
+300
+620
+300
+242
+190
+271
+100
+320
+190
+400
+190
+510
+190
$>280 \\sim 315$+1180
+1050
+1370
+1050
+670
+540
+860
+540
+1060
+540
+411
+330
+460
+330
+650
+330
$>315 \\sim 355$+1340
+1200
+1560
+1200
+740
+600
+980
+600
+1170
+600
+449
+360
+500
+360
+720
+360
+267
+210
+299
+210
+350
+210
+440
+210
+570
+210
$>355 \\sim 400$+1490
+1350
+1710
+1350
+820
+680
+1040
+680
+1250
+680
+489
+400
+540
+400
+760
+400
$>400 \\sim 450$+1655
+1500
+1900
+1500
+915
+760
+1160
+760
+1390
+760
+587
+440
+595
+440
+840
+440
+293
+230
+327
+230
+385
+230
+480
+230
+630
+236
$>450 \\sim 500$+1805
+1650
+2050
+1650
+995
+840
+1240
+840
+1470
+840
+577
+480
+635
+480
+880
+480
"} {"image_path": "images/559404d3aeff3c73259f5c7886244ebd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$H=\\Sigma_{s}/\\Sigma$$ R=0,17\\mathrm{~cm} $$ R=0,25 \\mathrm{~cm} $$R=0,50 \\mathrm{~cm}$
exact value[4] ref.[2] Eq. (7)exact value[4]ref.[2]Eq.(7)exact value[4]ref.[2]Eq.(7)
0,00,7260,7300,7220,6230,6320,6230,4040,4320,404
0,20,7730,7750,7680,6830,6890,6820,4820,5040,479
0,40,8230,8250,8190,7490,7530,7480,5740,5900,570
0,60,8770,8780,8740,8230,8250,8220,6860,6950,681
0,80,9360,9360,9380,9060,9070,9050,824 0,8270,821
$H=\\Sigma_{s}/\\Sigma$$ R=1,00 \\mathrm{~cm} $$ R=1,50 \\mathrm{~cm} $$R=2,00\\mathrm{~cm}$
exact value(7)ref. [2]Eq.(7)exact value[4]ref.[2]Eq. (7)exact value[4]ref. [2]Eq.(7)
0,00,4860,2450,1860,0950,1660,0950,0530,1250,053
0,20,2630,3170,2610,1650,2330,1640,1150,1790,117
0,40,3630,4070,3570,2560,3490,2540,1990,2700,202
0,60,4990,5290,4880,3890,4370,3790,3240,3860,322
0,8
"} {"image_path": "images/b47506b1f425954d35c839f98d8b7a71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$EIRP_{es}$80dB W
$A_{free space}$213.3dB
$A_{atm.cw}$1.8dB
$(G/T)_{sat}$6.8$dB K^{-1}$
k- 228.6$dB WK^{-1} Hz{-1}$
R (45 Mbit/s)76.5dB Hz
$(E_{b}/N_{0})_{up}$23.8dB
$EIRP_{sat}$47dB W
$A_{free space}$210dB
$A_{d.atm}$$A_{d.atm}$dB
$(G/T)_{es}$29.4$dB K^{-1}$
k- 228.6$dB WK^{-1} Hz^{-1}$
R (45 Mbit/s)76.5dB Hz
$(E_{b}/N_{0})_{d}$$18.5 - A_{d.atm}$dB
$for (E_{b}/N_{0})_{tot}$$A_{d.atm}$108.3dBdB
"} {"image_path": "images/04fce78dd5f4f663f10b7147b4f74105.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n
民國八年民國七年民國六年民國五年民國四年民國三年民國二年民國元年
64,627
54,813
119,440
35,890
46,600
100,490
57,290
46,988
104,248
57,260
46,988
104,248
57,258
46,985
104,243
57,658
47,223
104,883
57,258
46,985
104,243
57,224
46,990
104,214
46,010
36,704
82,714
42,619
34,901
77,520
4,349
31,936
74,985
42,619
31,552
74,171
42,319
31,292
73,611
42,198
31,333
73,531
42,128
31,124
73,252
42,997
31,456
74,453
39,674
31,182
70,856
37,604
31,691
69,295
34,914
26,741
61,655
28,013
26,815
54,828
27,859
26,993
54,852
35,695
26,768
62,463
35,853
26,855
62,769
35,834
26,855
62,709
51,547
46,953
98,500
44,817
41,397
86,214
49,981
48,378
68,359
43,797
42,728
86,525
44,805
37,803
82,608
44,885
38,000
82,883
44,805
37,803
72,608
44,551
37,509
82,060
30,575
26,634
57,209
27,396
27,041
51,437
33,098
33,561
66,619
25,489
22,951
48,440
24,756
22,139
46,895
23,796
21,171
44,967
23,508
20,971
44,479
23,232
20,716
43,948
65,701
54,543
120,250
61,727
50,000
111,327
59,022
52,402
111,404
59,147
52,261
111,408
58,994
52,343
111,337
59,983
45,251
105,236
59,894
44,815
104,109
67,536
45,360
112,896
28,691
22,628
51,319
25,621
19,842
45,463
27,430
21,245
48,675
35,393
31,223
66,616
35,393
31,223
38,516
27,205
20,302
47,507
27,107
20,142
57,249
26,794
20,035
46,829
56,565
51,437
108,002
50,429
46,910
97,339
63,050
54,198
117,248
61,859
52,286
114,135
61,615
52,035
113,650
69,104
50,482
119,586
60,834
20,284
111,118
61,341
48,538
109,879
56,135
42,024
98,159
51,047
42,124
93,171
54,080
41,290
95,370
47,957
37,700
85,657
47,713
37,700
85,657
74,147
35,705
82,852
46,847
35,408
82,255
45,466
34,231
79,697
"} {"image_path": "images/a045944651ff71178abe24bf3def1d23.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ProductisotopeNeutronenergy(eV)$ \\text{ Final state} $$\\begin{array} {c}\\Gamma_{n^0} \\\\ (\\mathrm{meV}) \\end{array}$
$[510]\\frac{3}{2}^-$$[512]\\frac{3}{2}^-$
$W^{183}$Thermal$ 0.328\\pm 0.02 $$ 0.029\\pm 0.02 $
4.14$0.339 \\pm 0.03$$0.022 \\pm 0.03$0.71
22.2$1.48 \\pm 0.2$$0.59 \\pm 0.1$8.0
114$0.23 \\pm 0.25$$0.89 \\pm 0.43$27
220$ 2.0\\pm 1.2 $$2.2 \\pm 1.2$70
$W^{187}$Thermal$1.47 \\pm 0.12$$0.06 \\pm 0.12$
18.8$ 1.98\\pm 0.23 $$ 0.08\\pm 0.10 $
"} {"image_path": "images/093b70f4f7b2c43da0a00209c477f413.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
定 额 编 号1-11--21-31-41-5
项 目单位设 备 型 号 名 称
LMH003J—160两用气体烧 毛 机IMH003AJ-160两用气体烧 毛 机LMH042-160平 幅 碱退 浆 机LMH062-160平幅氧漂机LMH064-160平幅氯漂机
材料棉 纱 绳 $ \\phi 5/8^{\\prime\\prime} $
垫 铁
钢 锯 条
白 厚 漆
油 漆
楷 布
青 壳 纸
毡 呢
其 它 材 料 费
标 准 件
公斤
公斤

公斤
公斤
公斤
公斤



18.24

1.03
3.06
15.30

0.17
16.65
5.00

22.05

1.03
3.06
16.32

0.17
15.65
5.00
15.75
157.50
5.25
5.13

30.60
0.58

13.50
15.00

68.40

2.05
5.10
18.36

0.23
23.50
20.00
15.75
157.50
5.25


30.60
0.58

13.50
20.00
机械叉 车 $3^{\\intercal}$
其它机具摊销费
台班
1
14.00
1
15.00
2
10.51
2
20.00
1.5
10.62
"} {"image_path": "images/10a6637a1c11f10667da74b0ab2a68e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Add. No.Test dosePollutant ratioAdditive composition, wt%
Total part.ratio Carbon part. ratioSO$_X$ ratioNO$_X$ ratioCHNSHal.$O^a$AshMetals
116.1:30001.0NDc1.01.063.99.00.10.8ND4.222.0Pb=12.Mn=0.2
Ba=8.0Si=0.1
117.1:30001.0ND ND ND1.01.071.08.80.10.5ND3.616.Ba=2.9Pb=3.0
Mn=0.15
1:20001.0ND1.01.0
1:10001.0ND1.01.0
1:7501.0ND1.01.0
118.1:10000.88ND1.01.070.79.90.10.5ND3.815.Pb=4.5
Ba=2.9
Mn=0.15
119.Canister1.25ND1.01.03.01.21.00.3ND13.581.Mg=47.9
Fe=1.0
120.1:5351.431.431.01.083.012.1<0.11.0ND1.62.3Na=0.6
Si=0.014
121.1:10001.0ND1.01.085.414.30.1<0.1ND0.2<0.2
122.$ \\text{ 1:10,000} $1.571.571.01.071.412.54.4<0.1ND10.31.4K=0.1Ni=0.05
P=0.4Mg=0.03
Ca=0.03
"} {"image_path": "images/eefacaeda299fb00b44a0cf4951694b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
宏观环境 因变量法律制度债权保护债市发展股权保护股市发展、资本新增率GDP 增长率通货膨胀率贷款利率调整 ${R}^2$
$^α 财务杠杆$-0.0232-0.04550.0312-0.02130.0056-0.03460.01720.0321-0.01980.35
(0.2373)(0.0087)(0.0811)(0.2465)(0.8765)(0.0892)(0.0089)(0.0123)(0.0321)
中介效应0.000.21-0.150.000.000.16-0.08-0.150.090.09
$^γ 资产有形$-0.0041-0.00780.04910.0211-0.0523-0.0269-0.0082-0.150.15
(0.8632)(0.4909)(0.2378)(0.3973)(0.0215)(0.7213)(0.5325)
中介效应0.000.000.000.000.240.000.000.000.000.24
$^γ 经营风险$0.03450.01270.0381-0.0028-0.0764-1.06260.0066--0.11
(0.2940)(0.1162)(0.5482)(0.8275)(0.0489)(0.0148)(0.8728)
中介效应0.000.000.000.000.360.160.000.000.000.42
-0.0048-0.0022-0.00380.00280.00040.02540.00018--0.18
$^γ 总资产$(0.0762)(0.4728)(0.5364)(0.0109)(0.7628)(0.4927)(0.8412)
中介效应0.020.000.00-0.010.000.000.000.000.000.01
-0.00590.0007-0.0045-0.0007-0.00180.0088-0.0029--0.55
$^γ 成长率$(0.4324)(0.8536)(0.4029)(0.4761)(0.4676)(0.8672)(0.0386)
中介效应0.000.000.000.000.000.000.010.000.000.01
0.10680.0045-0.0042-0.05120.0412-1.92060.0036--0.44
$^γ 盈利增长$(0.0054)(0.6672)(0.8643)(0.0049)(0.3632)(0.0011)(0.7622)
中介效应-0.500.000.000.240.000.240.000.000.00-0.12
0.0018-0.0001-0.0058-0.0007-0.0006-0.02760.0006--0.41
$^γ 流动比率$(0.0032)(0.8286)(0.0008)(0.3262)(0.4667)(0.0274)(0.5432)
中介效应-0.010.000.030.000.000.130.000.000.000.15
总效应-0.480.21-0.120.230.600.69-0.07-0.150.09-0.21
"} {"image_path": "images/9fa5598bcbb456811d3bc267293ff801.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
평가항목절대중요매우중요중요약간중요 대등약간중요중요매우중요 절대중요평가항목
98765432123456789
LNG 추진선 신조LNG 벙커링 선확보
LNG 추진선 신조LNG 벙커링 기지확보
LNG 벙커링 선확보LNG 벙커링 기지확보
"} {"image_path": "images/ed9ccd615121f0572fd6498bc3c692fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PrototypeModelRatio
DeckL [m]2200111/200
B[m]3001.651/182
D[m]70.0071/1000
EI$[Nm^{\\wedge}2]$$3.325\\times10^{13}$124.35$(1/193)^5$
Columnd[m]240.121/200
R[m]90.0451/200
EI$[Nm^{\\wedge}2]$$9.042\\times10^{12}$25.417$(1/206)^{5}$
N[No.]3203201/1
"} {"image_path": "images/118647be53fc19a30336205fd62fa593.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工 程 项 目定额编号单位预算价值其 中人 工材 料
人工费材料费二次搬运费机具费基本工其它工合计工日工资等级白灰膏砂子其它材料 费
工 日kg$m^8$
0.01813.58
勾抹横竖直缝门窗口边4710m1.640.780.460.160.240.250.050.303.60.46
堵抹过墙管洞4810个5.410.933.990.200.290.300.060.363.620.60.210.77
铲残损灰皮砂子白灰底4910$m^2$0.940.620.130.190.200.040.243.6
大 泥 底5010$m^2$0.480.310.070.100.100.020.123.6
水泥刷石磨石底5110$m^2$1.420.930.200.290.300.060.363.6
"} {"image_path": "images/40932e0005b65069b0f1c4e3c3aa3915.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
层位镜质组组成 (%)类脂组组成 (%)惰性组组成 (%)
总计结构
镜质体
均质
镜质体
基质
镜质体
团块 及 胶质
镜质体和镜屑体
总计壳质组腐泥组总计微粒体
菌类体
半丝
质体
情屑体
丝质体
孢子体
角质体
树脂体
壳屑体
太原组范围37~940~1020~7334~930~72~1440~655~1530~602~115~2557~7520~40
平均82431633104510458136030
山西组范围45~758~3030~6720~680~63~2180~9510~2514~415~1030~4060~80
平均631443392.512828122563065
"} {"image_path": "images/9d344ea2be4172fde2a9d0392b5c7e0f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
λ$F~_4(λ)$$\\Delta_{1}$$\\Delta_{2}$$F~_5(λ)$$\\Delta_{1}$$\\Delta_{2}$$F~_6(λ)$$\\Delta_{1}$$\\Delta_{2}$λ
3.00-1.160170.00416-25.01095-0.01392-20.91889-0.025013.00
.021.010090.15008429-25.44803- 0.43708- 1444-21.89886-0.97997- 2571.02
.04-0.8557215437444-25.89955- 45152- 1500-22.90454-1.00568- 2642.04
.06-0.6969115881457-26.36607- 46652- 1558-23.93664-1.03210- 2720.06
.08-0.5335316338472-26.84817- 48210- 1621-24.99594-1.05930- 2796.08
3.10-0.3654316810489-27.34648- 49831- 1685-26.08320-1.08726- 28793.10
.12-0.1924417299505-27.86162- 51516- 1751-27.19925-1.11605- 2964.12
.14-0.0144017804522-28.39429- 53267- 1823-28.34494-1.14569- 3054.14
.160.1688618326541-28.94519- 55090- 1899-29.52117-1.17623- 3146.16
.180.3575318867560-29.51508- 56989- 1977-30.72886-1.20769- 3244.18
3.200.5518019427579-30.10474- 58966- 2062-31.96899-1.24013- 33453.20
.220.7518620006601-30.71502- 61028- 2150-33.24257-1.27358- 3453.22
.240.9579320607623-31.34680- 63178- 2242-34.55068-1.30811- 3563.24
.261.1702321230646-32.00100- 65420- 2337-35.89442-1.34374- 3682.26
.281.3889921876672-32.67857- 67757- 2452-37.27498-1.38056- 3805.28
3.301.6144722548695-33.38066- 70209- 2551-38.69359-1.41861- 39343.30
.321.8469023243725-34.10826- 72760- 2672-40.15154-1.45795- 4070.32
.342.0865823968753-34.86258- 75432- 2794-41.65019-1.49865- 4214.34
.362.3337924721783-35.64484- 78226- 2925-43.19098-1.54079- 4364.36
.382.5888325504815-36.45635- 81151- 3064-44.77541-1.58443- 4523.38
3.402.8520226319851-37.29850- 84215- 3213-46.40507-1.62966- 46933.40
.423.1237227170885-38.17278- 87428- 3368-48.08166-1.67659- 4870.42
.443.4042728055925-39.08074- 90796- 3536-49.80695-1.72529- 5058.44
.463.6940728980965-40.02406- 94332- 3714-51.58282-1.77587- 5257.46
.483.99352299451008-41.00452- 98046- 3902-53.41126-1.82844- 5469.48
"} {"image_path": "images/e1bbd0e828a78a0c07389f545749824d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
代 号型 号許用扭矩公斤米dd$_1$d$_2$DD$_1$LK光 制 螺 栓总 重(公斤)
d$_3$全 長# 量n
Co91 1GL 12518 ~ 245040115854012104042.6
Co91 2GL 25025 ~ 326555140105551512455.5
Co91 3GL 310035 ~ 4280751651306518125069
Co91 4GL 425045 ~ 55100902001608020165515.8
Co91 5GL 530058 ~ 7013011023018595241665627
Co91 6GL 645072 ~ 85155135270220110287542.8
Co91 7GL 790090 ~ 105185155300260135322085669
Co91 8GL 81700110 ~ 13021519035029016535249010.3
Co91 9GL 93400135 ~ 16026025042035020038271006174.5
Co91. 10GL 105300165 ~ 2003102704904102304030110268.5
"} {"image_path": "images/4ce5b3dfeac32ce505f424ebd5e2213f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SolventsElectrodes$E_{p} {}^{a}$$(V)^{a}$$E_{p} {}^{c}$$(V)^{a}$$\\Delta E_{p}$$(V)^{a}$$E^{0'}$$(V)^{b}$$k^{0}\\ ×\\ 10^{3}$$ (cm\\ s^{-1})$$a_{c}$
$EMIBF_{4}$Pt-0.89-1.150.26-1.02 ± 0.010.94 ± 0.130.46 ± 0.02
Au-0.93-1.110.18-1.02 ± 0.012.2 ± 0.10.44 ± 0.01
GC-0.96-1.050.09-1.01 ± 0.016.4 ± 0.10.47 ± 0.01
$EMIBF_{4}$Pt-0.92-1.180.26-1.05 ± 0.011.5 ± 0.40.36 ± 0.03
Au-0.92-1.120.20-1.02 ± 0.013.3 ± 0.50.35 ± 0.01
GC-0.94-1.020.08-0.98 ± 0.017.3 ± 1.60.42 ± 0.06
$EMIBF_{4}$Pt-0.85-1.140.29-1.00 ± 0.010.83 ± 0.200.36 ± 0.02
Au-0.92-1.100.18-1.01 ± 0.011.2 ± 0.20.37 ± 0.02
GC-0.96-1.070.11-1.02 ± 0.017.5 ± 0.10.39 ± 0.01
"} {"image_path": "images/7f8fb4883afdace284cecd96bca89511.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Comp.$\\mathrm{AuCu}_{3}~\\left(\\mathrm{~L} 1_{2}\\right)$$\\mathrm{TiNi}_{3}~\\left(\\mathrm{DO}_{24}\\right)$
$TiRu_3$a3.852a5.480
c8.779
$TiRh_3$a3.8523.820 [54]a5.473
c8.832
$TiPd_3$a3.9273.985 [67]a5.5555.489 [73]
c9.0638.614 [73]
$TiOs_3$a3.879a5.507
c8.871
$Tilr_3$a3.8763.856 [42]a5.503
c8.888
$TiPt_3$a3.9483.926 [55]a5.5945.520 [72]
c9.0909.019 [72]
$ZrRu_3$a3.964a5.641
c9.060
$ZrRh_3$a3.9633.900 [57]a5.628
c9.106
$ZrPd_3$a4.029a5.6965.612 [73]
c9.3559.232 [73]
$ZrOs_3$a3.988a5.665
c9.135
$ZrIr_3$a3.9833.940 [74]a5.652
c9.162
$ZrPt_3$a4.0503.990a5.7295.624 [42]
c9.3599.213 [42]
$HfRu_3$a3.945a5.611
c9.016
$HfRh_3$a3.9423.912 [42]a5.599
c9.047
$HfPd_3$a4.0063.961a5.6055.593 [71]
c9.2489.197 [71]
$HfOs_3$a3.970a5.636
c9.096
$Hflr_3$a3.9633.940 [74]a5.623
5.698
$HfPt_3$a4.0923.983 [64]a5.6985.636 [51]
c9.3089.208 [51]
"} {"image_path": "images/1722ad1b77331c8ae60dd6b12df2c0e6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n
定 额 编 号3 - 5493 - 5503 - 5513 - 552
项 目安装空心板 (预应力)
标准跨径
10m以内16m以内10m以内20m以内
起重机单导梁
综 合 基 价 (元)1628.031292.91636.57488.93
其中 人 工 费
材 料 费
机 械 费
管 理 费 (32%)
利 润 (10%)
179.40

967.10
366.88
114.65
140.40

770.10
291.36
91.05
306.80

141.49
143.45
44.83
234.00

110.32
110.18
34.43
编号名 称单位单价 (元)数量合价数量合价数量合价数量合价
人工二 类 工工日26.006.900179.405.400140.4011.800306.809.000234.00
机械05010 03021电动卷扬机单筒慢速 50(kN)
汽车式起重机 20 (t)
台班
台班
79.94
895.46

1.080

967.10

0.860

770.10
1.770
141.49
1.380
110.32
"} {"image_path": "images/147a902577d590adac4a0c598a8a9563.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fields $\\psi_{1,2,3 L}$ $l_{1,2,3 R}$Q1,2LQ3LuRdRURD1,2R#σρηχ
${\\mathrm{SU}(3)_{L}}$313*3111136*333
U(1)X$-\\frac{1}{3}$-10$\\frac{1}{3}$$\\frac{2}{3}$$-\\frac{1}{3}$$\\frac{2}{3}$$-\\frac{1}{3}$$\\frac{2}{3}$$\\frac{2}{3}$$\\frac{2}{3}$$-\\frac{1}{3}$$-\\frac{1}{3}$
U(1)#$\\frac{2}{3}$1$\\frac{1}{3}$$-\\frac{1}{3}$00-11$-\\frac{1}{3}$$-\\frac{4}{3}$$-\\frac{4}{3}$$-\\frac{1}{3}$$\\frac{2}{3}$
$\\underline{\\Delta}(27)$$\\underline{3}$$\\underline{1}_1, \\underline{1}_2, \\underline{1}_3$$\\underline{1}_{1,2}$$\\underline{1}_3$$\\underline{3}$$\\underline {\\bar{3}}$$\\underline{1}_2$$\\underline{1}_{1,3}$$\\underline{3}$$\\underline{3}$$\\underline{3}$$\\underline {\\bar{3}}$$\\underline{1}_{1}$
"} {"image_path": "images/564805c96f72cdece4434db812a2f65e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variable-2 log likelihood$χ^{2}(2)$Class 1Class 2Class 3
$M^{a}$Exp(B)95$\\%$confidence interval for Exp(B)$M^{a}$Exp(B)95$\\%$confidence interval for Exp(B)Reference category$M^{a}$
Intercept1390.861.58B: 41.26B: -34.60
Age at retirement1436.1446.86***63.01.13***1.06,1.2059.50.87***0.82,0.9261.4
Female gender1433.0143.73***56.71.95**1.23,3.0931.50.33***0.22,0.5041.2
Socioeconomic status (z scores)1428.2138.93***-0.100.850.61,1.20-0.460.32***0.22,0.480.07
Married1410.8421,55***66.10.640.40,1.0461.60.39***0.26,0.5979.0
Health problems (z scores)1405.9216.64***0.081.38*1.06,1.790.181.52***1.21,1.90-0.08
Hours leisure activity before retirement1391.542.262.781.050.95,1.152.630.960.88,1.042.48
Unemployment before retirement1402.6413.36**30.71.490.86,2.5662.62.21***1.42,3.4527.9
East Germany1401.8212.54**18.91.260.71,2.2332.92.23***1.43,3.4617.3
Year of retirement1391.662.3819950.980.93,1.0219961.020.98,1.071996
"} {"image_path": "images/3671fb5deb4ebd187652453db71b70ac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
助記碼名 稱指令長度週期敍 述
M D RMove Digit R ight11The accumulator is shifted right4 bits and the least significant 4bits of the current RAM operandare placed in the vacated accumu-lator positions$\\mathrm~{A}(8: 5)\\rightarrow\\mathrm{A}(4: 1)$$M(4: 1)\\rightarrow \\mathrm{A}(8: 5)$
M D LMove Digit Left11The accumulator is shifted left4 bits and the most significant 4bits of the currant RAM oparandare placed in the vacatad accumul-ator positions$\\mathrm~{A}(8: 5)\\rightarrow\\mathrm{A}(4: 1)$$A(4: 1)\\rightarrow \\mathrm{M}(8: 5)$
S BSet Bit (n)1 , 22The specified bit of the currentRAM operand is set ( 1 )$\\mathrm{M} \\leftarrow \\mathrm{M} \\wedge 2^{(\\mathrm{n}-1)}$
R BReset Bit1 , 22The specified bit of the currentRAM operand is reset ( 0 )$\\mathrm{M} \\leftarrow \\mathrm{M} \\wedge 2^{(\\mathrm{n}-1)}$
BBranch1 , 21 , 2The specified address is placedin the P-register$ \\begin{align*}&P(7: 1)\\leftarrow 11(7:1)\\\\ &\\text{If}~~ 11(8)=1,\\\\ &~P(14: 8)\\leftarrow 12(7: 1)\\end{align*} $
"} {"image_path": "images/3d175acd9ecf48b33a119577d6815712.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reference(1) Desig-nations(2)Nonconforming Modes Applied to:DOF per Element
$\\begin{array}{c}u, v \\\\(3)\\end{array}$ ω(4)α,β(5)Original(6)Condensed(7)
Ref.7(quadratic elements)$\\begin{align*}&\\text{C8}^\\text{a} \\\\&\\text{NC8-2.5} \\\\&\\text{NC8-4.3} \\\\&\\text{NC8-4.3R}^\\text{b} \\\\&\\text{NC8-5.3} \\\\&\\text{NC8-5.3R}^\\text{b}\\end{align*}$ None$\\begin{align*}&\\bar{N}_1, \\bar{N}_2 \\\\&\\bar{N}_1, \\bar{N}_2, \\bar{N}_3, \\bar{N}_4 \\\\&\\bar{N}_1, \\bar{N}_2 \\\\&\\bar{N}_1, \\bar{N}_2, \\bar{N}_3, \\bar{N}_4, \\bar{N}_5 \\\\&\\bar{N}_1, \\bar{N}_2 \\\\\\end{align*}$ None$\\begin{align*}&\\bar{N}_1, \\bar{N}_2 \\\\&\\bar{N}_1, \\bar{N}_2, \\bar{N}_3, \\bar{N}_4 \\\\&\\bar{N}_1, \\bar{N}_2, \\bar{N}_3, \\bar{N}_4 \\\\&\\bar{N}_1, \\bar{N}_2, \\bar{N}_3, \\bar{N}_4, \\bar{N}_5 \\\\&\\bar{N}_1, \\bar{N}_2, \\bar{N}_3, \\bar{N}_4, \\bar{N}_5 \\\\\\end{align*}$ None
$\\bar{N}_1, \\bar{N}_2$
None
None
None
None
40
50
52
48
55
49
_
40
40
40
40
40
This studyNC8-$2.3^{c}$
NC8-$4.1^{c}$
NC8-$5.1^{c}$
$\\bar{N}_{1},\\bar{N}_{2}$
None
None
$\\begin{align*}&\\bar{N}_1, \\bar{N}_2 \\\\&\\bar{N}_1, \\bar{N}_2, \\bar{N}_3, \\bar{N}_4 \\\\&\\bar{N}_1, \\bar{N}_2, \\bar{N}_3, \\bar{N}_4, \\bar{N}_5 \\\\\\end{align*}$None
None
None
46
44
45
40
40
40
"} {"image_path": "images/d13eca637c87c287d46e733dbb0b5f06.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
砲兵隊騎兵隊步三隊步二隊步一隊隊别 課目 時間 日期 (二)第九期學生畢業試驗 補助術科 術科 體格檢查 日程表
劈刺體格檢查 術科1.—3四月十七日下午
體格檢查劈刺$3.^{10}—5$
術科劈刺運動武術1.—3四月十八日下午
運動體操武術$3.^{10}—5$
術科武術體格檢查體操運動1.—3四月十九日下午
武術體格檢查體操$3.^{10}—5$
武術體操運動劈刺體格檢查1.—3四月二十日下午
體操運動劈刺$3.^{10}—5$
"} {"image_path": "images/4c7467d3aef8d5a619055ed16757c5d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AT奥地利67106710
AU澳洲31043
CN中國內地1 1999751 4961,193
DE德國1 0857710 7811,156
F8法國1 1082032 718468
GB英國1 1083617 989676
I8意大利311161
IN印度33834
JP日本1 94223682 0924,129
KR大韓民國1 290254 63089
PT葡萄牙286
S8瑞士4 0301,599
SG新加坡1614
TW台灣2114352
U8美國1313535573
總計 TOTAL7 932719175 3049,701
"} {"image_path": "images/269163641c11a5cde196491ac6fd6531.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
比 较 项 目中国国 际 会 计 准 则美国英国澳 大 利 亚加 拿 大中 国 台 湾中 国 香 港
会会计准则第1005 号——分部报告》要求企业在年度报告中披露分部信息时, 中期财务报告才要求提供分部信息;⑦自年度报告日至今期间发生的企业结构的变化, 包括子公司的购买、出售以及重组;⑧与终止营业相关的而且需要首次披露的事项已经发生的重大活动或
"} {"image_path": "images/44487aa28aacf86ae5968eaf1ee4c30b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n
AdsorbentT/K$\\Delta G^\\circ/\\text{kJ mol}^{-1}$$\\Delta H^\\circ/\\text{kJ mol}^{-1}$$\\Delta S^\\circ/J~K^{-1}\\mathrm{~mol}^{-1}$
MWCNT-COOH293-19.72 -32.36 -99.19
303-20.26
313-19.79
318-18.42
MWCNT-ttpy293-28.1150.97211.9
303-30.50
313-32.90
318-35.11
"} {"image_path": "images/5962fd7a8c4665b7a89c820a35430d4d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Energy, eVWavelength, nm
$UO_2$$(U_{0.92}Ce_{0.08})O_2$UN
5.6213214211
4.9240239235$U^{4+ a}$
4.5276270267$U^{4+ a}$
4.1304309304
3.7336335333
3.4360360363
3.0446440445$U^{4+ a}$
1.98620620611$U^{4+ a}$
1.89662670660$U^{4+ a}$
"} {"image_path": "images/6cf3cabfb2612cf075ebd58a35f2d919.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Type of fibresDensity$[g/cm^3]$ Tensilestrength[MPa] Young'smodulus[GPa]Elongationat break[%] Cost[USDperkg]
Kenaf(K)1.2-1.24295-930532.7-6.91.3
Oil Palm (OP)0.7-1.552483.22.5-
Flax (F)1.4800-150060-801.2-1.61.5
Hemp(H)1.48550-900701.60.6-1.8
Jute (J)1.46400-80010-301.80.35
Ramie (R)1.55004421.5-2.5
Coir (C)1.25220615-251.25
Sisal (S)1.33600-700382-30.36
Cotton (CT)1.51400123-101.5-2.2
Bagasse (B)1.220-29019.7-27.11.1-
Pineapple (P)1.5170-1627821-30.05
Banana (BN)1.3535533.85.30.10
Sugar1.26190.293.6919.6-
palm(SP)
Kevlar 291.443000602.5-3.7-
"} {"image_path": "images/2e167935760787ce327d1699bffcc1eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
reagent$\\mathrm{Mn}(\\mathrm{CO})_{5^-}$
$\\mathrm{CHBr}_{2}$
$\\mathrm{CH}_{2} \\mathrm{Br}_{2}$$\\mathrm{CHBr}_{3}$$\\mathrm{C}_{2} \\mathrm{HBr}_{3}$
cyclohexene0.210.100.040.04
1-pentene0.080.060.040.02
trans-2-butene0.150.040.040.02
cumene0.040.160.070.07
toluene0.080.070.050.05
"} {"image_path": "images/4ab753b3af6c378264245e317321f231.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sodium$(\\mathrm{mol/m^3})$Chloride$(\\mathrm{mol/m^3})$Potassium$(\\mathrm{mol} / \\mathrm{m}^{3})$Hydroxide$(\\mathrm{mol/m^3})$
Porosity(%)24 Upstreamcompartment365
705
(case 1)(case 2)340
680
(case 1)(case 2)83108
Density$\\left(\\mathrm{kg} / \\mathrm{m}^{3}\\right)$3200Pore solution 25
365
(case 1)(case 2) 0
340
(case 1)(case 2)83108
$D_{e} \\mathrm{Cl}^{-}\\left(\\mathrm{m}^{2} / \\mathrm{s}\\right)$$ 12\\times 10^{-11} $Downstreamcompartment 25
365
(case 1)(case 2) 0340(case 1)(case 2)83108
"} {"image_path": "images/592997760c310cac751afa5cfbf4d175.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
玉米使用分布大豆使用分布
饲料和饲料种子45. 9%家禽饲料13. 8447. 5%
乙醇 (能源)24. 7%猪类饲料7. 5225. 8%
出口贸易18. 9%肉牛饲料3. 6112. 4%
食品及相关加工业10. 5%乳制品2. 538. 7%
高果玉米糖浆3. 9%宠物食品0. 722. 5%
淀粉2. 1%其他食品0. 903. 1%
食用甜玉米1. 8%合计:29. 1236. 2%
谷物作业及其他1. 5%总产:80. 50
酒精1. 0%出口:33. 90
种子0. 2%
豆油消费分布全球植物油消费分布
沙拉或烹调油4. 4953. 3%棕榈42. 2332. 3%
烘烤油炸油脂1. 9923. 6%大豆36. 0427. 6%
人造黄油0. 344. 0%油菜20. 0815. 4%
工业产品1. 5518. 4%葵花籽10. 858. 3%
其他食用品0. 070. 8%花生5. 103. 9%
合计:8. 4311. 6%棕榈仁4. 963. 8%
总产:72. 90棉籽4. 763. 6%
出口:31. 60椰子3. 582. 7%
橄榄2. 952. 3%
合计:130. 55
"} {"image_path": "images/58debb12c4f48b092af9cca0107f4c13.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
花生水稻棉花芝麻玉蜀黍緑豆黄黑豆
毂雨毂雨淸明毂雨後立夏夏至毂雨
立夏前毂雨後毂雨后立夏小芒前夏至後立夏
白露白露白露處暑處暑後處暑前白露前
秋分秋分寒露白露前白露處暑白露
"} {"image_path": "images/a0fa66c7a6023b72b14ecc22bdd8e9e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Ag(100) valley
$R_{S0}$ = 2.6$R_{S1}$ = 1.79$V_{S1}/ V_{S0}$ = 1.23
Temp. (°C)$F_0$$E_0$
900.01.349(0.117)1809.2(310.01)
850.01.290(0.100)2180.5(350.99)
800.01.193(0.041)2804.1(220.40)
750.01.149(0.051)2999.6(312.44)
700.01.130(0.056)3031.8(353.84)
650.01.011(0.044)3917.5(485.18)
600.00.935(0.030)4114.9(387.52)
550.00.854(0.030)4185.5(435.01)
500.00.808(0.028)4057.9(399.51)
450.00.687(0.024)4114.5(424.44)
400.00.572(0.021)4191.4(453.08)
350.00.474(0.015)4662.3(468.09)
300.00.477(0.012)5731.1(511.29)
250.00.411(0.017)5687.5(729.03)
200.00.410(0.007)6591.4(434.41)
100.00.399(0.015)4473.5(500.24)
Ag(111) peak
$R_0$ = 1.75$R_1$ = 3.06$P_1/P_0$ = 0.687
Temp. (°C)$F_0$$E_0$
800.01.230(0.060)2705.1(312.21)
750.01.187(0.048)3025.6(301.85)
700.01.129(0.038)3379.4(292.94)
600.00.969(0.024)4257.2(309.12)
550.00.871(0.022)4594.1(342.93)
500.00.759(0.021)4857.1(421.30)
450.00.636(0.019)5191.9(503.00)
400.00.539(0.011)5052.1(331.47)
350.00.468(0.013)4934.3(434.04)
300.00.426(0.013)4867.4(462.03)
250.00.391(0.006)5375.4(268.65)
200.00.373(0.014)5416.7(648.11)
150.00.359(0.007)5368.9(345.32)
100.00.345(0.013)6182.5(825.74)
Cu(111) peak
$R_0$ = 1.77$R_1$ = 3.02$P_1/P_0$ = 0.679
Temp. (°C)$F_0$$E_0$
835.01.181(0.040)3856.3(356.40)
800.01.129(0.032)4170.1(333.51)
750.01.053(0.033)4617.1(428.86)
700.00.928(0.017)5327.3(322.69)
650.00.853(0.022)5498.9(458.12)
550.00.697(0.022)6193.2(672.17)
500.00.665(0.015)5930.5(467.81)
450.00.610(0.016)6911.3(669.34)
400.00.601(0.012)6786.0(514.13)
350.00.589(0.010)7261.7(457.64)
300.00.593(0.010)6763.9(435.66)
250.00.564(0.008)8095.4(461.27)
200.00.563(0.010)7701.0(552.24)
150.00.556(0.0117498.1(575.69
100.00.534(0.004)7991.8(235.90)
"} {"image_path": "images/3e4da59f92d847bbcc0483e094e3ab71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
桥长 ( 米 )孔(跨)数跨径( 米 )桥宽 ( 米 )通航孔 ( 米 )荷载等级建设时间及其他
下部总宽车行道人行道净宽梁底高设计校核
注 桩 桩、承台主桥 80 两侧引桥350 3引桥6$\\begin{array}{l}2\\times 25\\\\6\\times 24\\\\1\\times 30\\end{array}$3525$5 \\times 2$3013.65(吴淞)城市A 级2004 年 7 月开工,2007年12月建成
基墩柱、台总 430 主桥 2253$\\begin{array}{c}42+91\\\\+92\\end{array}$3020$5 \\times 2$45净空 5.0城市A 级2008 年 12 月新建竣工
基墩柱台主桥96 两侧总长 618.673$3 \\times 30$3024$3 \\times 2$22净空4.5城市 A级2009 年 2 月重建竣工
孔灌注桩承台主桥 170 两侧引桥250.4 13主桥3420中孔1703223$3.5 \\times 2$45净空5.050公里/小时2009 年 12 月新建竣工
力式墩台主桩125.45222520$2 \\times 2$2012.15(吴淞)汽 13挂 601959年始建,1996年扩建
136336107$1.5 \\times 2$30 12.8(吴淞)汽 10挂 501984 年建,北连线 68 米,引 桥 长 19米。2010 年该老桥已拆除,新桥已动工(注)
主桩381中孔 683224$4 \\times 2$40汽 202007 年 5 月12 日开工,2008 年 10 月30 日竣工,连接线长 514米。是本区重要的过境交通枢纽
"} {"image_path": "images/52a49bfa309418df63e60a02925bee88.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Character^{1}$Total No.Upper thirdMiddle thirdLower third
LR
119119LRLRLR
$Absent^{2}$254212211221
L34281152119
WL464040442119
R+7424193829
R+ +32119913
R+ + +111251
G-3110101112
G- --18623
G- - ---23-2
"} {"image_path": "images/ba3ec2ebe2351c6162ebe64f34a556ea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
i$2\\theta$hkl$\\rho_{j}$$C_{ij}$$F_{20}^j$
116.42$(0\\bar{1}1)$0.73793-0.200
217.53(010)0.50035-0.107
321.31$(\\bar{1}11)$0.437930.0743
422.54$(\\bar{1}10)$0.009590.411
523.57(011)0.214510.0124
624.71$(\\bar{1}12)$0.39700-0.269
725.69(100)1.000000.605
826.44$(\\bar{1}03)$0.09775-0.407
927.84$(1\\bar{1}1)$0.079390.470
1028.75$(0\\bar{1}3)$0.19120-0.357
1130.77(003)0.27201-0.106
1231.44$(11\\bar{2})$$(1\\bar{2}0)$$(012)$0.100760.18180.40910.4091 0.706-0.00530.0042
1332.80$(\\bar{1}\\bar{1}3)$$(\\bar{1}21)$$(\\bar{1}2\\bar{1})$0.295210.27130.47220.2565-0.205-0.116-0.141
1433.28$(0\\bar{2}2)$$(1\\bar{2}1)$0.152390.94170.0583-0.2000.107
1542.70$(\\bar{1}05)$$(0\\bar{2}4)$0.416770.00920.9918-0.483-0.267
1645.58$(111)$$(\\bar{2}10)$0.338930.07950.92050.3940.607
1747.38$(\\bar{1}\\bar{2}4)$0.000403-0.233
1848.45$(1\\bar{3}2)$$(\\bar{2}05)$0.002560.50000.5000-0.037-0.282
1949.55$(\\bar{1}31)$$(12\\bar{1})$$(03\\bar{2})$0.002060.50880.28090.2103-0.1570.186-0.145
"} {"image_path": "images/4d5aa98cfbd5d4659f259ea12a5f2d0e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
孕期用药孕期疾患
抗菌素5外伤1
镇静药4肝胆疾患3
肾上腺素1风疹1
中草药3贫血6
打胎药2哮喘1
退热止痛药7高血压3
避孕药2甲亢1
水肿1
心脏病2
痢疾1
合计2420
"} {"image_path": "images/9ee0d3f5c3ff540ff92cdd83b6a0f1f6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
v1v2123456789
139.86349.50053.59355.88357.24058.20458.90659.43959.858
28.5269.0009.1629.2439.2939.3269.3499.3679.381
35.5385.4625.3915.3435.309 5.285 5.2665.2525.240
44.5454.3254.1914.1074.0514.0103.9793.9553.936
54.0603.7803.6193.5203.4533.4053.3683.3393.316
63.7763.4633.2893.1813.1083.0553.0142.9832.958
73.5893.2573.0742.9612.883 2.8272.7852.7522.725
83.4583.1132.9242.8062.7262.6682.6242.5892.561
93.3603.0062.8132.6932.6112.5512.5052.4692.440
103.2852.9242.7282.6052.5222.4612.4142.3772.347
113.2252.8602.6602.5362.4512.3892.3422.3042.274
123.1772.8072.6062.4802.3942.3312.2832.2452.214
133.1362.7632.5602.4342.3472.2832.2342.1952.164
143.1022.7262,5222.3952.3072.2432.1932.1542.122
153.0732.6952.4902.3612.2732.2082.1582.1192.086
163.0482.6682.4622.3332.2442.1782.1282.0882.055
173.0262.6452.4372.3082.2182.1522.1092.0612.028
183.0072.6242.4162.2862.1962.1302.0792.0382.005
192.9902.6062.3972.2662.1762.1092.0582.0171.984
202.9752.5892.3802.2492.1582.0912.0401.9991.965
212.961 2.5752.3652.2332.1422.0752.0231.9821.948
222.9492.5612.3512.2192.1282.0602.0081.9671.933
232.9372.5492.3392.2072.1152.0471.9951.9531.919
242.9272.5382.3272.1952.1032.0351.9831.9411.906
252.9182.5282.3172.1842.0922.0241.9711.9291.895
"} {"image_path": "images/6c400d321259a45ecd0f6a720023df7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工程名称机组容量
发电机型号整套启动时间
发电机规格满负荷试运开始时间
项 目 名 称单位设计要求试运调试记录
发一变组带负荷保护试验发电机差动保护 接线正确、差压、差流符合规程要求
主变差动保护符合规程要求
发一变组差动保护符合规程要求
发电机失磁保护动作正确
发电机阻抗保护符合规程要求
逆功率保护符合规程要求
母差保护符合规程要求
继电保护装置符合规程要求
发电机轴电压测量
发电机励磁电压带负荷自动调整试验自动通道工作,可控硅输出特性
手动通道带负荷特性
自动向手动通道切换
手动向自动通道切换
改变调节器输入信号(发电要电流)时,有功、无功量变化
过/低励限制
功角限制
工作励磁和备用励磁相互切换试验正常
验收检查人运行操作人调试负责人调试执行人
"} {"image_path": "images/b7e67bf95c8ef66d3aee0d28b30be378.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Data column
Sample
1 2 3 4 5 6 7 8 9 10
Initial sample weight
Ca
H₂Omono from
eq. 6
WBWCa:
Initial −200℃
WBWCa as %
H₂Omono
Initial sample weight
Na
WBWNa:
Initial −200℃
WBWNa as %
H₂Omono
Initial sample weight
Co
WBWCo:
Initial −200℃
WBWCo as %
H₂Omono
Units mg wt.% wt.% % mg wt.% % mg wt.% %
Wyoming33.59217.8714.2579.7551.3608.0745.1528.6007.5242.07
Mont. $\\#$ 2066.90517.6715.7389.0157.92012.3469.8250.58210.3858.73
Chambers91.57017.9115.7387.8488.53712.3468.9150.77910.3857.96
Texas61.40817.9415.0583.8781.58310.8160.2452.9608.5647.72
Otay81.49017.9218.23101.7394.13914.3480.0273.07811.0161.44
Cheto100.59617.9117.4697.4981.85113.2774.0985.75310.8760.69
Kinney102.18117.8517.4397.6255.60012.1668.1167.10010.8960.99
Ferr. Sm.129.98016.9815.3990.6185.18211.3266.6546.46311.5668.06
Garfield68.75716.3716.40100.2049.77110.4563.8449.48610.5364.33
Uley47.03316.6914.8689.0649.0326.9241.4851.1219.7658.47
Hectorite66.06217.8415.4586.6169.62511.6165.0834.3598.9650.22
Saponite64.16917.9215.4986.4458.80111.9766.7954.7578.5147.49
Mean17.5715.9690.8511.3064.189.9156.52
"} {"image_path": "images/98751f1189d6c20a60e56b61aa586a4d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
i=0.01$\\text{ i=0.02}$$ \\begin{array}{c}i=0.03\\end{array} $
$w/v_{in}$$h_{in}H_{in}$$S_{0test}$, cm$\\quad S_{0in}, \\mathrm{cm}$$\\quad S_{0c}, \\mathrm{cm}$$\\quad S_{0test}, \\mathrm{cm}$$\\quad S_{0in}, \\mathrm{cm}$$\\quad S_{0c}, \\mathrm{cm}$$S_{0test}$, cm$\\quad S_{0in}, \\mathrm{cm}$ $S_{0c}, cm$
0.400.80636.6437.7838.3636.8737.7838.9137.2337.7839.45
0.400.59126.6227.7028.1826.8427.7028.6727.0627.7029.14
0.400.37616.8317.6317.9816.9717.6318.3217.0517.6318.67
0.300.80648.1450.1651.1648.7950.1652.1349.4050.1653.14
0.300.59135.1436.7837.6335.6136.7838.4836.1036.7839.41
0.300.37622.1623.4124.0322.4723.4124.6522.7623.4125.25
0.200.80670.1973.5475.6071.5273.5477.7272.5973.5479.86
0.200.59151.2053.9355.7352.3853.9357.5053.2853.9359.35
0.200.37632.3634.3235.6232.9834.3236.9333.7934.3238.27
0.190.803154.53161.82166.73136.49140.60149.22---
0.190.592113.04119.38123.58---
0.591100.10103.46110.86
0.190.38172.1776.9380.0263.8066.3271.75---
0.379
0.150.80698.0102.95106.99100.72102.95111.13102.96102.95115.36
0.150.59171.5275.5078.9773.8575.5082.5175.8275.5086.16
0.150.37645.1248.0550.5746.8548.0553.1848.3148.0555.92
0.140.803204.36214.89223.47181.95186.70201.88---
0.140.592149.67

95.77
158.52

102.16
165.95

107.60
133.66137.39150.42---
0.591
0.140.38183.2888.0797.66---
0.379
0.100.803287.00300.84317.62259.40261.38291.38---
0.100.592210.84221.93236.36191.20192.34218.20---
0.591
0.100.381134.44143.02153.62122.20123.29142.39---
0.379
"} {"image_path": "images/018d79dc105833d6c0f64c8a69698b7f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n\n \n \n \n \n \n\n
$^Vobserved$$^vcalculated$$\\text P.E.D.^a $$Assignments^b$
IRRaman
3110$v_{\\mathrm{a}}\\left(\\mathrm{OH}_{2}\\right)$
3050$\\mathrm{v}_{\\mathrm{s}}(\\mathrm{OH}_{2})$
3018$ v_{as}\\left(CH_{3}\\right) $
2968$ v_{as}\\left(CH_{3}\\right) $
2919$\\nu_{\\text{s}}(\\ce{CH3})$
1670$\\delta(\\mathrm{HOH})$
15581560$\\quad v_{\\mathrm{a}}(94)$$v_a$(COO) (B)
1560$\\nu_{\\text{a}}(94)$$v_a$(COO) (A)
14451444$\\nu_{\\text{s}}(65),\\ R(24),\\ \\alpha(11)$$v_s$(COO) (B)
14601444$\\nu_{\\text{s}}(65),\\ R(24),\\ \\alpha(11)$$v_s$(COO) (A)
1423$\\delta_{\\mathrm{as}}\\left(\\mathrm{CH}_{3}\\right)$
1390$\\delta_{\\text {as }}\\left(\\mathrm{CH}_{3}\\right)$
13551360$\\delta_{\\mathrm{s}}\\left(\\mathrm{CH}_{3}\\right)$
10571120$\\mathrm{CH}_{3}$ rock
1020$\\mathrm{CH}_{3}$ rock
958 956$R(55),\\ \\alpha(22),\\ \\nu_{\\text{s}}(20)$R(CC) (A)
953955$R(55),\\ \\alpha(22),\\ \\nu_{\\text{s}}(20)$ R(CC) (B)
847$\\mathrm{H}_{2} \\mathrm{O}$ rock
750$\\mathrm{H}_{2} \\mathrm{O}$ twist
696696$\\alpha(58),\\ R(17)$$\\alpha(\\ce{COO})\\:(\\ce{B})$
698694$\\alpha(58),\\ R(17)$$\\alpha(\\ce{COO})\\:(\\ce{A})$
622622$\\pi(43),\\tau_a({39})$$\\pi(\\ce{COO})\\:(\\ce{B})$
627621$\\pi(43),\\tau_a({37})$$\\pi(\\ce{COO})\\:(\\ce{A})$
476$\\gamma(56),\\ \\nu_2(20),\\ \\nu_3(16)$$\\gamma$(COO) (B)
473471$\\gamma(62), v_{3}(19), v_{2}(13)$$\\gamma$(COO) (A)
418406$\\nu_1(89)$$ v\\left(\\mathrm{Zn}-\\mathrm{OH}_{2}\\right)(\\mathrm{B}) $
400$\\nu_1(87)$$ v\\left(\\mathrm{Zn}-\\mathrm{OH}_{2}\\right)(\\mathrm{A}) $
312$v^2(63),γ(12),α(10)$$ v\\left(\\mathrm{ZnO}_{4}\\right)(\\mathrm{B}) $
273274$\\nu_3(50),\\ \\gamma(24)$$ v\\left(\\mathrm{ZnO}_{4}\\right)(\\mathrm{A}) $
266$\\nu_3(61),\\ \\gamma(19)$$ v\\left(\\mathrm{ZnO}_{4}\\right)(\\mathrm{B}) $
235230$\\nu_2(62),\\ \\nu_3(10)$$ v\\left(\\mathrm{ZnO}_{4}\\right)(\\mathrm{A}) $
198196$\\tau_a({40}),\\tau_1({28})$$\\tau_a\\:(\\mathbf{A})$
188$\\tau_1({58}),\\tau_a({27})$$\\tau_1\\:(\\mathbf{B})$
168165$\\tau_2({52}),\\tau_a({25})$$\\tau_2\\:(\\mathbf{B})$
156 $\\tau_{1}(39),\\tau_{2}(31),\\delta_{1}(13)$ $\\tau_1\\:(\\mathbf{A})$
110105$\\delta_2(27),\\ \\delta_1(24),\\ \\tau_2(16),\\ \\tau_1(11),\\pi(10)$$\\delta(\\mathrm{OZnO})\\:(\\mathrm{B})$
9197$\\delta_2(40),\\ \\delta_4(18),\\ \\delta_7(10),\\ \\delta_3(10)$$ \\delta(\\mathrm{OZnO})\\:(\\mathrm{A}) $
7879$\\delta_4(62),\\ \\delta_1(24)$$ \\delta(\\mathrm{OZnO})\\:(\\mathrm{B}) $
6871$\\delta_{6}(40), \\delta_{3}(33), \\delta_{4}(18)$$ \\delta(\\mathrm{OZnO})\\:(\\mathrm{A}) $
62$\\delta_{7}(27), \\delta_{1}(23), \\tau_{2}(16), \\delta_{6}(10),\\delta_{4}(10)$$ \\delta(\\mathrm{OZnO})\\:(\\mathrm{A}) $
"} {"image_path": "images/eb63476f470a8e7f2ea64bc320d4b450.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
对象备选答案 国家机关(税务机关)社会团体事业单位 国有企业(国有商业银行) 股份有限公司(上市公司)有限责任公司外商投资企业私营企业会计师事务所财经院校及其他合计
人数比例(%)人数比例(%)人数比例(%)人数比例(%)人数比例(%)人数比例(%)人数比例(%)人数比例(%)人数比例(%)人数比例(%)人数比例(%)
可靠68343. 24330. 586057. 054947. 737049. 098344. 333855. 744241. 528834. 018039. 4473645. 8
基本可靠52633. 26848. 254035. 848141. 831541. 7108949. 122336. 753950. 730435. 921547. 0430041. 6
不可靠634. 01812. 8563. 7564. 9293. 8592. 7264. 3373. 5323. 8183. 93943. 8
不清楚24315. 464. 3483. 2504. 3263. 4663. 0294. 8323. 019823. 4439. 47417. 2
"} {"image_path": "images/97ba285980b0275b2b6b9767d5bdce8c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Univariate BinaryRegressionsMultivariable BinaryRegressionsUnivariate LinearRegressionsMultivariable LinearRegressions
OR95%
CI
γ
Value
OR95%
CI
γ
Value
β
Coeff
95%
CI
γ
Value
β
Coeff
95%
CI
γ
Value
DMGV
Gensini1.411.12
1.79
0.0040.930.69
1.26
0.6410.30.14
0.45
<0.0010.170.02
0.32
0.026
CACS1.591.26
2.01
01.110.83
1.5
0.4820.490.11
0.87
0.0110.32-0.03
0.67
0.074
SPS1.41.11
1.75
0.0041.050.8
1.38
0.7170.15-0.02
0.32
0.0890.06-0.12
0.23
0.523
Obstructive2.331.59
3.43
<0.00011.650.92
2.96
0.094
TMAO
Gensini0.850.62
1.16
0.3050.830.57
1.22
0.35-0.16-0.39
0.07
0.185-0.21-0.42
-0.01
0.044
CACS0.980.72
1.32
0.8851.030.71
1.5
0.88-0.46-0.99
0.08
0.093-0.58-1.05
-0.1
0.017
SPS0.720.53
0.97
0.0290.650.46
0.92
0.016-0.05-0.29
0.19
0.707-0.09-0.32
0.15
0.475
Obstructive0.790.51
1.22
0.2920.840.44
1.59
0.60
Phenylala-nine
Gensini0.990.65
1.48
0.9430.850.51
1.44
0.5560.330.04
0.62
0.0250.260.01
0.52
0.046
CACS1.120.75
1.67
0.570.970.59
1.62
0.9210.880.23
1.53
0.0080.770.19
1.35
0.01
SPS0.880.6
1.3
0.5260.730.46
1.15
0.1760.29-0.01
0.58
0.0580.24-0.05
0.53
0.106
Obstructive1.841.01
3.33
0.0461.220.51
2.91
0.66
Glutamate
Gensini1.150.84
1.57
0.3980.960.65
1.41
0.8190.14-0.09
0.36
0.2340.1-0.1
0.3
0.333
CACS1.210.89
1.65
0.2141.070.73
1.57
0.7360.05-0.48
0.58
0.8630.05-0.43
0.53
0.833
SPS1.481.09
2.01
0.0111.421.00
2.03
0.0530.12-0.12
0.36
0.3260.08-0.16
0.31
0.529
Obstructive1.250.78
2.01
0.3611.300.64
2.66
0.472
"} {"image_path": "images/c5b1711cecdce6bb8a957e9a7a4f8620.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
直 径鋼絲总断面积参 考 重 量鋼 絲 绳 公 称 抗 拉 强 度, ${公斤/毫米}^2$
鋼 絲 绳鋼 絲140155170185200
鋼 絲 破 断 拉 力 总 和
毫 米${毫\\ 米}^2$公斤/100米公 斤 (不 小 于)
3.80.45.285.047398188979761050
4.70.58.247.8711501270140015201640
5.60.611.8711.3416601830201021902370
6.50.716.1615.4022602500274029803230
7.50.821.1020.1529503270358039004220
8.40.926.7125.5137304140454049405340
9.41.032.9731.4946105110560060906590
10.51.139.8938.0955806180678073707970
11.51.247.4845.3466407350807087809490
12.01.355.7253.217800863094701030011100
13.01.464.6261.71904010000109501195012900
14.01.574.1870.841035011450126001370014800
15.01.684.4080.601180013050143001560016850
16.01.795.2890.991330014750161501760019050
17.01.8106.82102.01495016550181501975021350
18.52.0131.88125.91845020400224002435026350
20.52.2159.57152.422300247002710029500
22.52.4189.91181.426550294003225035100
24.52.6222.88212.931200345003785041200
26.02.8258.48246.836150400504390047800
28.03.0296.73283.441500459505040054850
30.03.2337.61322.447250523005735062450
32.03.5403.88385.7565006260068650
34.53.8476.09454.7666507375080900
36.54.0527.52503.8738508175089650
"} {"image_path": "images/86097826066507a0d1c779e9276594fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
非 独 立 机 构
行 政人 员工人合计科 技 人 员行 政人 员工人
其 他小 计小计中:大学毕业高 级中 级初 级 其他
4
1414
4
12
113
2112
66
4
116
"} {"image_path": "images/015ddecfba66cbeee32caa54bd37513d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n = n+1
cont
enddo
? xb + \"共有\" + bj + str(n,3)+ \"人\"
endif
wait
clear
close all
set safe on
"} {"image_path": "images/207a456dd5fcff537fd9521de3a6a84e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
郑加伟涟水县供电局赵建江盱眙县观音寺镇顺河居委会
薛玉书涟水县人民医院邹正科盱眙县仇集镇霖治村
程洪才江苏今世缘酒业有限公司孙大友盱眙县县乡道路指挥部办公室
李士雄涟水县磷肥厂张爱平(女)盱眙县实验小学
潘维忠涟水县烟草公司陈思宁盱眙县马坝中学
左观亚涟水县建安总公司何友才盱眙县明祖陵镇人民政府
张金山涟水县地税局赵长富盱眙县马坝镇高桥粮管所
沈秀清涟水县郑梁梅高级中学付祥忠盱眙县铁佛镇人大
陈 印涟水县交通局雍 梅(女)盱眙县河桥镇人民政府
杨万如中共涟水县纪委杜洪海盱眙县水利建筑安装公司
共泽县夏文标江苏淮化集团有限公司
王友德洪泽县共和镇新集村黄庄组刘德仁盱眙县建设局规划办
刘卉洪泽县万集镇万集居委会朱厚林盱眙县供电公司
李 军洪泽县黄集镇玉河村刘艾元江苏狼山水泥有限公司
陈文龙洪泽县岔河镇岔河村郝增明江苏狼山水泥集团一分厂
顾社宝洪泽县老子山镇长山村张玉鹏盱眙县鹏胜采石有限公司
陈学华洪泽县高良涧镇第六社区欧长代盱眙县人民医院
张正权洪泽县仁和镇乾宁村陈大平盱眙县海事处
孙广萍(女)洪泽县西顺河镇张福河村陈守荣(女)盱眙县人事局
邓德旭洪泽县宏大床上用品厂谢晓明盱眙县人民检察院
孙玉成洪泽县三新建材有限公司金湖县
李加贵洪泽县贵平包装有限公司何如香(女)金湖县黎城镇九里村
谢殿友洪泽县朱坝镇中学吴金明金湖县星晨化仪综合厂
张雨生洪泽县东双沟中心小学李殿金金湖县银集镇新胜村
顾晓明洪泽县国税局高良涧镇征收分局高式岚金湖县涂沟镇于沟村
李守成洪泽县蒋坝镇省三河闸管理处刘 梅(女)金湖县吕良镇赤水村
刘士杰江苏爱吉斯海珠机械有限公司涂维善宝应湖农场施沟大队
周荣贵洪泽县供电局刘福波金湖县玻璃仪器厂
张小海洪泽县人民银行唐锡华金湖县前锋镇淮村村
卜开初洪泽县人民医院何学明江苏爱特福药物保健品有限公司
邵永军洪泽县建设局规划办公室陆和明金湖县金南镇中心学校
刘泽敏江苏南风元明粉有限责任公司沈佑成金湖县陈桥镇财政所
李友余洪泽东盾人造板有限公司丁桂林金湖县闵桥镇政府
袁守义洪泽县第二中学刘广荣金湖县金南镇水产林桑站
杨福宝洪泽县公安局刑警大队谢永生金湖县涂沟镇
薛珍云(女)洪泽县海事处万寿荣金湖县塔集镇
高德甫洪泽县地税局叶道勤金湖县金北镇
盱眙县汤瑞华金湖县铸锻有限公司
刘 峰盱眙县王店乡范墩村赵 超金湖县输油泵有限公司
张信芳盱眙县火鸡良种场杨 境金湖县建筑工程公司
李德萍(女)盱眙县马坝镇黑泥村赵亚芳(女)金湖县邮政局
项永祥江苏三特米业有限公司邓学凤金湖石油机械有限公司
朱洪波盱眙县旧铺镇时集村伍光银金湖县电信局
杨 浩盱眙县明华贸易有限公司朱庆庚金湖县汽车零部件有限责任公司
钟义海盱眙县马坝镇大众村倪言珠金湖县广播电视局
倪新民盱眙县铁佛镇召六村聂杭军中共金湖县委组织部
张 伟盱眙县巨伟塑料机械厂赵伟光金湖县供电局
"} {"image_path": "images/740be25431ea5d2c64f1a084a8d5f5bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PCRPrimer nameSequenceAmplicon length (bp)
A/T SNPM45 F
M45 R
AAATTGGCAGTGAAAAATTATA
AAGCTCCTTCTGAGGTCC
50
HVII II 45 F
II 287 R
ATGCATTTGGTATTTTCGTCTG
TTGTTATGATGTCTGTGTGGAAAG
242
HVII 16105 F
I 16348 R
TGCCAGCCACCATGAATA
GACTGTAATGTGCTATGTACGGTAAA
243
"} {"image_path": "images/18ac92e385ef3e8fdb6f8a16a15b7c16.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
SNAlgorithmStatistics$\\sigma_{l, b, 3}$$\\sigma_{l, b, 4}$
For
b=0
Minimum MMSEMinimum MiMSEMinimum MMSEMinimum MiMSE
ValuebValuebValuebValueb
1RPROPMMSE108.2595044.12415-7.0046.304016.0041.393434.0041.393434.00
MeMSE108.9486041.6877146.1618742.2715142.27151
MiMSE39.5797827.7491818.1250220.6264720.62647
MaMSE221.6683571.5214865.1834255.7568955.75689
SMSE44.5046112.1318011.325178.032328.03232
2SCGMMSE84.4068638.41418-5.0044.46381-3.0020.2138711.5022.009709.00
MeMSE81.3361934.9307240.5948318.0428119.27494
MiMSE29.4179620.3795519.7853416.8330914.74638
MaMSE188.5793661.04433111.7703432.5395838.68696
SMSE35.0679311.9264318.594674.195366.17476
3LMMMSE531.9817496.00633-6.00120.69719-13.0057.9446417.5080.4918515.00
MeMSE197.0545091.74680103.6334834.1396442.53662
MiMSE65.1236445.1119727.5975720.6861018.31205
MaMSE7454.14581171.26183366.75986318.16364785.46627
SMSE1344.7284131.7847361.7262767.11600138.07345
4BFGSMMSE2041.4020473.312814.001,144,996.68197-2.0026.1434412.0027.5120611.50
MeMSE96.2568955.2010377.5387226.0250326.63974
MiMSE36.9299129.9974314.7786014.9433013.61161
MaMSE26,196.99406280.7582234,307,467.5270141.8056965.93368
SMSE5793.6103850.798966,263,392.829107.8674810.29897
"} {"image_path": "images/965150c747bac241f085f91a2d4cfee7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
*2\" G'
J F 9 &&
25, # 6 N1 # 7
J. > #
# &
* 5, #
·
"} {"image_path": "images/e46a64225dd7086913ec6c15ea3b7ca7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Andalu-cíaAragónAsturiasCanta-briaCast-LaManchaCast. yLeónCata-luñaCom.Valen-cianaExtrem-aduraGaliciaCom.MadridMurciaC. F.NavarraPaísVascoLaRiojaTotalSupply
Andalucia-1424141,1994091449222208959940822655516
Aragón22-2112839327515981749323683394378374886696
Asturias95-18820265131538350719191271
Cantabria1262419-486431416223788191700692401
Cast.-LaMancha212742297107-250191261923119816,917476858228926,780
Cast. yLeón617250111012132125-46311811490387745205221145614,037
Cataluña149293164930-333003877357107644762
Com.Valen-ciana555119592316682333915-101715773560791498913,080
Extrema-dura1087121642604-44010201232
Galicia47779815859526285-10116160111890
Com.Madrid3912706472623016805991253124-136442678510,387
Murcia901523359165168695135460-31259224
C. F. Nav-arra6693502971263571541831291784-19416294647
Pais Vasco13253265437231732566621502043369-4693249
La Rioja739632116674068910512717433221261-3006
Totaldemand580945482895277312,8708147620816,7492613293525,0204750170786862468108,177
"} {"image_path": "images/4bd1065a1922629b10ae270670e26611.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Datum(1935)RHbRet‰WPs %LE%B%Mo%Rz%NbK.G.
10000%mMyMyStSg合計絕對數%絕對數
5/X5461008514148002.51618.5273877.5114700.51.52--2620
3時間後5791068513246000.51.5272971346716482-1.52.5--
6/X5661048116272000.51.521.523.5639273.519992-- 1 11-2540
8/X585107812413450-0.52121.5289272.597511.51.51.51.5-2530
10/X610112891710250-116171743767790-4.52.5--2450
12/X5641038899700-12425242566.56445-530.5-2480
14/X568104861011850-0.520.5212489738651-42--2400
16/X5981108838950-0.51212.51119817250- 330.5-2420
18/X5971109310 9750-1.526.52827306260451.562.5--2400
20/X526968015170500.54.52732545663107420.51.53--2360
21/X594109952112400-0.52020.5254271.58866161.50.5-2360
23/X647115891312650-1.520.52227837291080.51.51.50.5-2360
26/X59510989169400-2252725386863920.52.52--2400
29/X52696802311050-0.51717.51934778509-3.53--2440
"} {"image_path": "images/af7ff97e35fb3a8c3c81f196ec24f13d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LaboratoryRapeseed oilPalm oil
R1R2P1P2
12 1 21212
18.88.5(0.3)10.89.8(1.0) *33.732.3(1.4)30.835.1( 4.3)
28.88.6(0.2)11.411.7(0.3)35.638.4(2.8)36.741.0( 4.3)
38.78.8(0.1)12.312.4(0.1)34.538.1(3.6)39.223.8( 10.9)*
49.09.0(0.0)11.911.9(0.0)40.339.8(0.5)45.843.1( 2.7)
59.18.8(0.3)12.412.4(0.0)37.039.0(2.0)41.439.3( 2.1)
69.79.7(0.0)13.511.8(1.7)*40.047.5(7.5)40.536.0( 4.5)
7_**$8.5-**$11.411.9(0.5)32.131.7(0.4)40.339.8( 0.5)
88.38.4(0.1)11.311.2(0.1)34.933.1(1.8)41.339.3( 2.0)
911.411.0(0.4)13.513.8(0.3)29.435.5(6.1)39.739.2( 0.5)
108.38.3(0.0)10.810.6(0.2)30.026.2(3.8)28.731.1( 2.4)
118.28.5(0.3)11.812.0(0.2)34.338.6(4.3)34.237.8( 3.6)
"} {"image_path": "images/cd3bf1eeaf18cd8e1336c5c1e6df0823.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
componentmolecular weightglobalmol $\\%$
wt $\\%$mol $\\%$
CO244.0100.491.201.20
H2S34.0800.040.120.12
N228.0130.180.700.70
C116.0435.0134.0534.05
C230.0703.0911.2111.21
C344.0972.877.107.10
i-C458.1240.520.980.98
n-C458.1241.693.173.17
i-C572.1510.911.381.38
n-C572.1511.412.132.13
C685.0002.082.67
methyl-cyclo-C584.1600.420.54
benzene78.1100.160.23
cyclo-C682.1500.280.383.81
C799.0002.512.40
methyl-cyclo-C698.1900.600.66
toluene92.1400.370.44
C8113.0003.032.92
ethyl-benzene106.1700.280.29
M&P-xylen106.1700.220.23
O-xylen106.1700.220.23
C9128.3003.222.749.90
C10134.0003.743.04
C11147.0003.252.41
C12161.0002.721.84
C13175.0002.561.59
C14190.0002.321.3310.22
C15+206.0002.171.15
C16222.0001.830.90
C17237.0001.670.77
C18251.0001.530.66
C19263.0001.480.614.09
C20275.0001.350.53
C21291.0001.110.41
C22305.0000.980.35
C23318.0000.770.26
C24331.0000.660.22
C25345.0000.550.17
C26359.0000.450.14
C27374.0000.420.12
C28388.0000.340.09
C29402.0000.260.072.38
C30+580.00040.237.567.56
molecular weight =108.96
density =0.6791$^{\\circ} \\mathrm{API}=$29.28
"} {"image_path": "images/fd4c1181acdfaca3785e7caafd24fb1f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
窗型尺 寸长/宽mm窗面积$m_2$窗墙比%窗户层数传热系数W/㎡·C传热量W未加密封条各方向冷风渗透耗热量W未加密封条各方向总耗热量W加密封条总耗热量W
西西平均
A$ 2100<1500 $3 1534单层6.40705.67.617.7103.7253.0713.2723.3809.3958.6801.1105.6
双层3.26359.45.412 774.1180 7364.8372.1433.5540.1427.6359.4
B1800-15002.7029.2单层6.40604.87.116.697.5237.8611.9621.4702.3842.6694.6604.8
双层3.26308.15.111969.6169.9313.2320.0377.7478.0372 2308.1
C1500×15003.2524.4单层6.40504.06.715691.3222.7510.6519.6595 3726.7588 1504.0
双层3.26256.74.811.165.2159.1261.5267.8321.9415.8316.8256.7
D$ 1200\\sim 1500 $1 8019.5单层6.40403.26.214.585.1207.5409.4417.7488.3610.7481.5403.2
双层3.26205.44.410460.8148 2209.8215.8266 2353 62614205.4
E1200-1200144156单层6.40322.68.0186108.9265.8330 6341.2431 5588 4422 9322.6
双层3.26164.35.713377.8189.9170.0177.6242.1354.2236.0 164.3
注:1 山西大同地区采暖室外温度 - 17℃ ;室内温度取 18 ℃,室外风速3m/s;2.冷风渗透热量按缝隙法计算; 3 窗墙比以 3.3 m 开间,层高 2 8 m 计算。
"} {"image_path": "images/0ac0f4aa49af069ce62bfc44d434aa71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
厂 家
主 参 数
(日)
NIPPONSHARYO
(日)
NIPPONSHARYO
(日)
NIPPONFRUEHAUF
(日)
NIPPONFRUEHAUF
(日)
NIPPONTRAILMOBILE
(日)
NIPPONTRAILMOBILE
(日)
NIPPONTRAILMOBILE
(西德)
MAFI
型 号$TL 2011$$FKE 220$$FKZ 240 \\mathrm{D}$$ \\mathrm{CT} 242 \\mathrm{C} $ $CT 242~D$ $ \\mathrm{CT} 220 \\mathrm{C} $
最大载重量 ( 公斤 )2032030480203203600030400244002032040000
自重 ( 公斤 )3350420031205005493031205500
拖载总重 ( 公斤 )23670346802344041005293302334045500
空 载 负 荷
( 公斤 )
主 销44513251040610
双 后 轴2675368038902510
满 载 负 荷
( 公斤 )
主 销8415126007300185059555843016500
双 后 轴15255220801614022500197751501029000
轴距( 毫米)65509500531510535881579505925
外 形 尺 寸
( 毫米 )
7700124506660123401283512385772512700
24802460246024402650244024502850
16301590157014351590143515451820
主 直 径 SAE 2\"SAE 2\"SAE 2\"SAE 2\"SAE 2\"SAE 2\"SAE 2\"SAE 2\"
轮 胎数 量88888888
规 格9.00-20-14层10.00-20-14层11.00-20-14层11.00-20-14层 10.00-20-14层 10.00-20-14层90.0-20-14层 12.00-20-18层
用 途20英尺集装箱20/40英尺装集箱20英尺集装箱20/40英尺集装箱20/40英尺集装箱20/40英尺集装箱20英尺集装箱
"} {"image_path": "images/1daecdcd02264e90b5efc369033a112e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n
RadicalIP(V)$\\Delta H_{\\mathrm{f}}(\\mathrm{R})$(kcal/mol)$\\begin{array}{c}\\Delta H_f(\\text{R}^+) \\\\(\\text{kcal/mol})\\end{array}$$\\begin{array}{c}\\text{Hydride ion} \\\\ \\text{affinity } D(\\mathrm{R}^--\\mathrm{H}^+)\\dagger \\\\ (\\text{kcal/mol})\\end{array}$
Primary
$1-\\mathrm{C}_{3} \\mathrm{H}_{7}$$8.10^{*}$21.0208268
$1-\\mathrm{C}_{4} \\mathrm{H}_{9}$$8.01^{*}$16.0201266
iso- $\\mathrm{C}_{4} \\mathrm{H}_{9}$$8.01^{*}$14.0199266
$1-\\mathrm{C}_{5} \\mathrm{H}_{11}$ (7.94 est.)10.9$\\sim194$$\\sim 264 $
neo- $C_{5} H_{11}$ 7.915.6188263
1-C $c_{6} \\mathrm{H}_{13}$(7.92 est.)6.0$\\sim 189$$\\sim 263$
1-$\\mathrm{C}_{7} \\mathrm{H}_{15}$(7.90 est.)1.0$\\sim 183$$\\sim 263$
Secondary
$2-\\mathrm{C}_{3} \\mathrm{H}_{7}$ 7.55*18.1192252
2- $\\mathrm{C}_{4} \\mathrm{H}_{9}$7.41*12.5183248
2- $\\mathrm{C}_{5} \\mathrm{H}_{11}$7.417.4179248
2- $\\mathrm{C}_{6} \\mathrm{H}_{13}$7.383.0173248
$2-\\mathrm{C}_{7} \\mathrm{H}_{15}$ (7.35 est.)-2.0$\\sim 168$$\\sim 247$
Tertiary
$\\left.t-\\mathrm{C}_{4} \\mathrm{H}_{9}\\right)$ $6.93^{*}$7.5167234
$t-\\mathrm{C}_{5} \\mathrm{H}_{11}$
$\\left(2 \\mathrm{Me} \\ 2-\\mathrm{C}_{4} \\mathrm{H}_{9}\\right)$
6.853.1161233
$t-\\mathrm{C}_{6} \\mathrm{H}_{13}$
${(2Me\\ 2-C_5H_{11})}$
6.82-1.9155231
${t-C_7H_{15}}$
$(2 \\mathrm{Me} \\ 2-\\mathrm{C}_{6} \\mathrm{H}_{13}$ )
6.79-6.6150231
"} {"image_path": "images/9988d4dbfd6985a32fe59f8dfa76cdcf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
红星奶粉红星集团
鸿雁电器杭州鸿雁电器公司
胡庆余堂中药杭州胡庆余堂药业有限公司
蝴蝶缝纫机上海协昌缝纫机厂
虎豹服装江苏虎豹集团公司
虎头电池广州轻工品进出口公司
华北药品华北制药集团有限公司
华丰木制家具大连华丰家具有限公司
华光陶瓷华光陶瓷集团有限公司
华立 HL电度表浙江华立控股股份有限公司
华龙方便面河北华龙食品有限公司
华泰工业用纸山东华泰纸业股份有限公司
华为程控交换机设备深圳市华为技术有限公司
HUAYI压缩机景德镇华意电器总公司
黄河啤酒兰州黄河企业股份公司
黄山卷烟蚌埠卷烟厂
皇明太阳能热水器德州皇明太阳能有限公司
回力胶鞋上海回力鞋业总厂
汇丽涂料、地板上海汇丽(集团)有限公司
汇仁中成药江西汇仁制药有限公司
汇源果汁饮料北京汇源果汁饮料集团总公司
惠达卫生陶瓷制品唐山惠达陶瓷集团股份有限公司
J
JAGUAR汽车美洲虎车辆有限公司
吉尔达皮鞋吉尔达鞋业有限公司
吉列剃刀、刀片吉列公司(美国)
即发针织服装青岛即发集团股份有限公司
佳丽斯床上用品福建佳丽斯家纺有限公司
嘉陵摩托车中国嘉陵股份有限公司
剑南春白酒四川省绵竹剑南春酒厂
健力宝饮料广东健力宝集团有限公司
"} {"image_path": "images/9ad5e369a67871a7eb8a2d23b8bfa3bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Re_o$$Pr_o$$z/2Re_{0}$$\\left(T_{R}^{\\prime}-T_{0}^{\\prime}\\right)$measured,$~~~~~~_k$$~~~~~~~\\sigma$measured$\\left(T_{R}^{\\prime}-T_{0}^{\\prime}\\right)$predicted,$~~~~~~_k$$~~~~~~~\\sigma$predicted$\\left(T_{R}^{\\prime}-T_{0}^{\\prime}\\right)$predicted,$ (Martin)_k$$~~~~~~~\\sigma$predicted(Martin)
42·312401·171·11·80·8
1·751·42·31·2
2·341·82·81·6
2·922·1171·03·2174·01·9176·7
11911700·425·65·71·9
0·627·57·22·8
0·838·88·53·7
1·049·851·79·556·04·657·0
17410500·284·47·12·3
0·436·49·03·3
0·578·210·44·3
0·719·536·711·937·85·238·8
"} {"image_path": "images/12ccba5ebac34fe90dab512b1608e492.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Computedquantity$Calculation^a$
$\\begin{array} {c}{\\mathrm{BH^{b}}} \\\\ {d_{12}=1.23\\mathrm{\\mathring{A}}} \\end{array}$$\\begin{array} {c}{\\mathrm{I.~BH+SCF\\beta^{c}}} \\\\ {d_{12}=1.23\\mathrm{\\mathring{A}}} \\\\ {C=0.85} \\end{array}$$\\mathrm{II.~KTC+SCF}\\beta;d_{12}=1.23\\mathrm{\\mathring{A}}^{c}$$\\mathrm{II.~KTC+SCF}\\beta;C=0.85^{\\circ}$Experiment
C=0.80C=0.85C=1.00$ d_{12}=1.18\\mathring{A} $$ d_{12}=1.28\\mathring{A} $
I (eV)14.2311.75(10.83)(10.83)(10.83)(10.83)(10.83)$10.83^{\\mathrm{d}}$
$\\mu(\\text{D})$2.02.72.22.01.41.82.4$2.34^e$
$E\\left(1^{1} A_{1}\\right)(\\mathrm{eV})$0.000.000.000.000.000.000.000.00
$E\\left(2^{1} A_{1}\\right)(\\mathrm{eV})$$\\text{diag}\\ (7.95)^f\\ $$\\text{CI}\\ \\cdots$9.97
10.89
9.56
10.62
10.09
11.99
11.61
12.44
11.01
11.91
9.26
10.34
$7.95^g$
$E\\left(3^{1} A_{1}\\right)(e V)$ $\\text{diag}\\ 11.64\\ $$\\text{CI}\\ \\cdots$12.96
14.81
11.79
13.91
12.75
14.76
15.74
17.42
14.54
16.34
11.27
13.45
?
$E\\left({ }^{3} A_{1}\\right)(\\mathrm{eV})$3.662.772.172.654.01 3.521.91~$3.3^h$
"} {"image_path": "images/1607a65f5113d8349b8e3a949fe5eab5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n
R-Square
N
0.276
46
0.277
46
0.350
46
0.350
46
ICRG
(1)(2)(3)(4)
ICRG820.092 0.089
3.4203.234
FREE7386-0.111-0.052
-1.152-0.563
GDP70-0.401-0.482-0.692-0.720
-2.564-2.815-4.055-4.032
R-Square0.1980.2100.2910.293
N97979797
"} {"image_path": "images/322bc2cba58e7fa72d83d8bf0d1ea631.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基本尺寸/mm 常用及优先公差带
jskmnp
大于567575675757
3±2±3±5+40+60+100+6+2+8+2+12+2+8+4+10+4+14+4+10+6+12+6+16+6
36±2.5±4±6+6+1+9+1+13+1+9+4+12+4+16+4+13+8+16+8+20+8$+17$$+12$$+20$$+12$$+24$+12
610±3±4.5±7+7+1+10+1+16+1+12+6+15+6+21+6+16+10+19+10+25+10+21+15+24+15+30+15
1014±4±5.5±9+9+1+12+1+19+1+15+7+18+7+25+7$+20$$+12$+23+12$+30$$+12$$+26$+18$+29$+18$+36$+18
1418
1824±4.5±6.5±10+11+2+15+2+23+2+17+8+21+8+29+8$+24$+15$+28$$+15$$+36$+15$+31$+22$+35$$+22$$+43$+22
2430
3040±5.5±8±12+13+2+18+2+27+2+20+9+25+9+34+9$+28$+17$+33$+17$+42$+17$\\begin{array}{c}+37 \\\\ +26\\end{array}$$\\begin{array}{r}+42 \\\\ +26\\end{array}$$+51$+26
4050
5065±6.5±9.5±15+15+2+21+2+32+2$+24$+11$+30$+11$+41$+11$+33$+20$+39$+20$+50$+20$+45$$+32$$+51$$+32$$+62$$+32$
6580
80100±7.5±11±17+18+3+25+3+38+3$\\begin{array}{c}+28 \\\\ +13\\end{array}$$+35$$+13$$+48$ +13$+38$$+45$ $+23$$+58$$+52$ $+37$$+59$ $+37$$+72$ +37
100120
120140±9±12.5±20+21 +3+28 +3+43+3$+33$$+15$$+40$$+15$$+55$$+15$+45+27+52+27$+67$$+27$$+61$$+43$$+68$$+43$+83+43
140160
160180
180200±10±14.5±23+24+4+33+4+50+4$+37$+17$+46$$+17$$+63$$+17$$+51$$+31$$+60$$+31$$+77$$+31$$+70$$+50$+79+50$+96$$+50$
200225
225250
250280±11.5±16±26+27+4+36+4+56+4$+43$$+20$$+52$$+20$$+72$$+20$$+57$$+34$$+66$$+34$$+86$$+34$$+79$$+56$$+88$$+56$$+108$$+56$
280315
315355±12.5±18±28+29+4+40+4+61+4$+46$+21$+57$$+21$$+78$$+21$$+62$$+37$$+73$$+37$$+94$$+37$+87+62 $+98$$+62$ +119+62
355400
400450±13.5±20±31+32+5+45+5+68+5$+50$$+23$$+63$$+23$$+86$$+23$+67+40$+80$$+40$$+103$+40$+95$$+68$$+108$+68$+131$+68
450500
"} {"image_path": "images/d11f155f3c75b52f31d60df416e35aac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目
数量
单位
种类
总数其 中混 编步 兵 连 编 制预 备 役 连 编 制备注
普通基干建制人数建制人数
步 兵固 井187105821一排1(部)137一排1445 高炮编制 ,高炮营部1个,高炮指挥排1个 。
测 井208120881二排251二排1337
管 子 站12253691三排132三排1337
机 关1111连部111
炮 兵机 修 厂2431201231
合 计77139837331141401310130
"} {"image_path": "images/88fbc161372f06f9b1b42dfd20561b40.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(12)
赤峰通辽鄂尔多斯呼伦贝尔巴彦淖尔
赤峰通辽东胜满洲里海拉尔临河
542185413553543505145052753513
$42^{\\circ} 16^{\\prime}$$ 43^{\\circ} 36^{\\prime} $$ \\begin{array}{l}\\text { 39°50' } \\\\ \\end{array} $$ 49^{\\circ} 34^{\\prime} $$ 49^{\\circ} 13^{\\prime} $$ \\begin{array}{l}40^{\\circ} 45^{\\prime}\\\\ \\end{array} $
$118°56^{\\prime}$$122^{\\circ} 16^{\\prime}$$ 109^{\\circ} 59^{\\prime} $$17^{\\circ} 26^{\\prime} $$119^{\\circ}45^{\\prime}$$ 107^{\\circ} 25^{\\prime} $
568.0178.51460.4661.7610.21039.3
1971-2000 1971-20001971-20001971-20001971-20001971-2000
7.56.66.2-0.7-1.08.1
-16.2-19.0-16.8-28.6-31.6-15.3
-10.7-13.5-10.5-23.3-25.1-9.9
-18.8-21.8-19.6-31.6-34.5-19.1
435452757951
32.732.329.129.029.032.7
22.624.519.019.920.520.9
28.028.224.824.124.328.4
505743525439
27.427.324.623.623.527.5
2.23.53.13.83.02.1
C WSWSSWSSWC EC SSWC E
20 13171913 1013 820 10
2.54.63.74.43.12.5
2.33.72.93.72.32.0
C WNWSSWWSWC SSWC W
26 1416142322 1930 13
3.14.43.13.92.53.4
C WSSWSSWWSWC SSWC W
21 1311171315 1224 10
707673706272
201179150389242138
955.11002.6856.7941.9947.9903.9
941.1984.4849.5930.3935.7891.1
161166168210208157
10.26-04.0410.21-04.0410.20-·04.0509.30-04.2710.01-04.2610.24-03.29
-5.0--6.7-4.9-12.4-12.7-4.4
179184189229227175
10.16--04.1210.13-04.14 10.11-04.1709.21-05.0709.22-05.0610.16-04.08
-3.8-5.4-3.6-10.8-11.0-3.3
40.438.935.337.936.639.4
-28.8-31.6-28.4-40.5-42.3-35.3
"} {"image_path": "images/887d4475bcf649312e379d63d2a2e910.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
i'i012345678
0011121314151617181
11121314106071810
221314100718000
3314100081000
44100000000
55160718102-13-14-10
6617180003-14-100
771810004-1000
88100000000
"} {"image_path": "images/36d4072f7375cfc72fa220d6dc8ab949.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
合 计工业用地对外交通用地仓库用地生活居住用地其他用地
$米^2 / 人$%$米^2 / 人$%$米^2 / 人$%$米^2 / 人$%$米^2 / 人$%$米^2 / 人$%
太 原110.010035.532.36.76.73.93.645.241.018.817.1
南 京9610017.217.92.82.83.94.144.946.827.228.2
西 安83.610014.717.52.22.63.13.762.174.41.51.8
广 州76.910026.835.09.211.98.1210.532.841.8
沈 阳70.810011.716.63.34.63.95.540.857.611.115.7
成 都63.910013.521.12.43.83.04.737.057.98.012.5
平 均81.510019.923.44.4 5.3 4.325.443.253.39.812.0
"} {"image_path": "images/d2c8772582987b46b2964b25e85cdb56.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$i'$
$i$
0 1 2345678
001112131415161718 1
11101112106151610
2211101005-18100
331 2 10006-1000
44100000000
551615-16-100111210
661518100110100
7716100021000
88100000000
"} {"image_path": "images/5053186752f70088a5a8a6ad71dd938c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工程设计者基本投资利润%折旧费负荷因数%燃料成本固定费用总发电成本承 包 者
反应堆系统反应堆容器活 性 区燃 料蒸汽发生器透 平土 建
- 680(50)11930751.61012.2GGAGGAGGAGGAGGA--
Ebasco-------CECECECECEWest.Ebasco
-
-
-
-
SGUAE
-
-
-
-
"} {"image_path": "images/fc0734ecc5939e8a94e9e6393393eeaf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
作 合所屬合作社
b.運輸勞働者合作社a都市及勞動者合作社
四一一·四〇三社數
一五·九九一·〇〇〇社員數
一七·〇九〇一三三·六九四從業者數
四三·四四八·三七六三〇一·〇五〇·三九八鎊事業额
八三八·一九六三·四九〇·七一七鎊已付出資
"} {"image_path": "images/7bc3dcfdf7d90064dbf1852e0c1f76e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\frac{\\text {Factor}}{1} $$\\frac{\\text {Factor}}{2}$$ \\frac{\\text {Factor}}{3} $$ \\frac{\\text {Factor}}{4} $$ \\frac{\\text {Factor}}{5} $
Al0.83
As0.83
Ba0.450.69
Co0.96
Cr0.87
Cu0.570.540.49
Fe0.530.75
La0.79
Mg0.94
Mo0.700.47
Nd
Ni0.80
Pb0.700.40
Sb0.470.54
Sn0.72
V0.650.42
Zn0.450.76
Cumulative variance %33.247.759.769.879
"} {"image_path": "images/6ac287c8aeb565309d27ed8c52f424c1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n
事務員科員科長县长職名
一六〇元员数
八六、四 五六一一二月給
一〇三六、八六七二一三四四一九二〇元全年
十二元八角者二員十一元二角者二員九元六角者四員三十二元者一員二十四元者一員六十四元者一員四十八元者一員三等縣俸給二百元今領八成事略
"} {"image_path": "images/2b0de079c1c30a9d66d2953ff279f34a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n\n\n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n\n \n \n \n \n \n \n\n
总 计按登记注册类型分按 行 业 分
国有企业其他企业住 宿餐 饮
年初存货9378519327529326
流动资产合计2241435872235561438222705
应收帐款13018130188612932
存 货7944517893337911
固定资产合计5303946452575161251427
固定资产原价11831214761168362200116112
累计折旧6615210126514058865564
本年折旧5360795281725288
在建工程10461046241805
资产总计31616215773145853291312871
流动负债合计139936542139394894139042
应付账款150745150697015004
非流动负债合计121339121339121339
负债合计262015542261473894261121
所有者权益54147103553112239751750
实收资本6362819406168880062828
营业收入43190618924300148956422950
主营业务收入43190618924300148956422950
营业成本2470665642465025691241375
主营业务成本2466665642461025691240975
营业税金及附加19920821983822419696
主营业务税金及附加19910821982822419686
其他业务利润112411241124
销售费用88387110987278146186926
管理费用50624465057865849966
税 金1650165091641
财务费用516581508425163
利息收入414141
利息支出38898138083889
资产减值损失505050
营业利润2163572162892020715
营业外收入340340340
政府补贴585858
利润总额1396461395892013044
应交所得税1015101596919
应付职工薪酬5585165655195143054421
"} {"image_path": "images/7b1ee061aeee9bc2a6d8c037fe86a15c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Security DescriptionQuantity UnitCost(S)Price(s) CostBasis(S)MarketValue(S) UnrealizedGain/(Loss)(S)G/(L)(%)
XXXXXX
CP G.E.CAP CRP BE
06JUL07 00.010%07JAN2008
400,010------398,672----
XXXXXX
MLGS USD SHORT TERM I
S2 (USD) · JP MORGAN
2,835.8650------1,615,394----
XXXXXX
SOUTH COAST FUNDING VNEWM SER REGSVAR% AUG 6 2039
2,250------112,500----
XXXXXX
TIERS-DJIA-03-16UNITS SER INDUZERO% SEP 29 2008
10,010------119,700----
XXXXXX
TORO ABS CDO I, LTDPFD UNITS REG SFEB 28 2042
500------25,010----
XXXXXX
U.S.TREASURY BILLZERO% DEC 20 2007
175,010------174,953----
XXXXXX
U.S. TREASURY BILLZERO% DEC 27 2007
30,283,010-----30,256,351----
XXXXXX
U.S. TREASURY BILLZERO% JAN 10 2008
6,752,010-----6,740,522----
XXXXXX
U.S.TREASURY BILLZERO% JAN 24 2008
6,639,010------6,621,340----
"} {"image_path": "images/901ff365e1e774c0e09be04072b2b7a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ProvincePopulation(× 1000)$Acute beds^*$Medium-long stay bedsTotal beds
Public sectorLifecare**Total
No.RatioNo.RatioNo.RatioNo.RatioNo.Ratio
Gauteng71711292181260184672655932837224101
Northern Province4128377966916174042240958280768
Mpumalanga264615260000001526
North-West30432087268900268947616
Free State247035514225900225958023
Northern Cape7465575270052710714
Eastern Cape58658321416902900169023233040
Western Cape411864916751180075118140034
KwaZulu-Natal767210261312381681911205727308340
Total3785949461361531672311913384351815948
"} {"image_path": "images/63a6c55c92e91dfe34ddf1d433a75915.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机型中程数气缸数及排列-缸径 × 行程(mm)排量(L)进气方式冷却方式燃烧室 标定功率[kW / (r/min)]最大扭矩〔N·m/(r/min)〕 燃 油消耗率〔g/(kW·h)〕 机 油消 耗 率[g/(kW·h)]外形尺寸(长 × 宽× 高)(mm)净重(kg)主要用途生产厂
1h12h持续
N285Q4$\\begin{array} {c}{2\\mathrm{L}-85} \\\\ {\\times95} \\end{array}$1.078自然吸气水冷涡流室13.23/240058.8 /1680$ \\leqslant 280.2 $$ \\leqslant 2.72$488.5×468×631165 农用车、工程机械等 安徽全柴动力股份有限公司
WL2P854$\\begin{array} {c}{2\\mathrm{H}-85} \\\\ {\\times95} \\end{array}$1.078自然吸气水冷涡流室13.23/240059.0/1920$ \\leqslant 255.7 $$ \\leqslant 2.72$$ \\begin{array}{r}726\\times 465\\\\ \\times 531\\end{array} $155农用车 江苏五菱柴油机股份有限公司
TY290X4$\\begin{array} {c}{2\\mathrm{L}-90} \\\\ {\\times100} \\end{array}$1.272自然吸气水冷直喷式13.23/220066.0/1650$ \\leqslant 263.8 $$ \\leqslant 2.04$$ \\begin{array}{r}540\\times 500\\\\ \\times 660\\end{array} $195拖拉机 河南省新乡内燃机厂
TY2904$\\begin{array} {c}{2\\mathrm{L}-90} \\\\ {\\times100} \\end{array}$1.272自然吸气水冷直喷式13.23/220014.71/230066.0/154070.2/1610$ \\leqslant 265 $$ \\leqslant 2.72$$ \\begin{array}{r}539\\times 503\\\\ \\times 660\\end{array} $190 拖拉机、农用车、船舶等 湖南省衡阳建湘柴油机厂
ZH2904$\\begin{array} {c}{2\\mathrm{L}-90} \\\\ {\\times100} \\end{array}$1.400自然吸气水冷直喷式18.39/220089.4/1650$ \\leqslant 255.7$$ \\leqslant 2.72$$ \\begin{array}{r}571\\times 625\\\\\\times 756\\end{array} $240农用车湖北柴油机厂
KM2P954$\\begin{array} {c}{2\\mathrm{H}-95} \\\\ {\\times105} \\end{array}$1.489自然吸气水冷直喷式17.71/220016.1/220014.49/220080.5/1650$ \\leqslant 249.8$$ \\leqslant 2.72$$ \\begin{array}{r}813\\times 516\\\\ \\times 663\\end{array} $185 小拖、船用、排灌、发电、工 程 机械等 无锡华源行星动力有限公司
KM2P95-14$\\begin{array} {c}{2\\mathrm{H}-95} \\\\ {\\times105} \\end{array}$1.489自然吸气水冷直喷式19.3/240017.6/240015.84/240080.5/1800$ \\leqslant 251.6 $$ \\leqslant 2.72$$ \\begin{array}{r}813\\times 516\\\\ \\times 663\\end{array} $185 手 拖、工程机械、船用、排灌、发电等
KM2P95T4$\\begin{array} {c}{2\\mathrm{H}-95} \\\\ {\\times105} \\end{array}$1.489自然吸气水冷直喷式19.3/240017.6/240015.84/240080.5/1800$ \\leqslant 251.6 $$ \\leqslant 2.72$$ \\begin{array}{r}813\\times 516\\\\ \\times 663\\end{array} $195拖拉机
D202-24$\\begin{array} {c}{2\\mathrm{L}-95} \\\\ {\\times105} \\end{array}$1.489自然吸气水冷直喷式 23/3000 21/300082.1/2100$ \\leqslant 265 $$ \\leqslant 2.72$$ \\begin{array}{r}552\\times 460\\\\ \\times 740\\end{array} $218工程机械 郑州飞马集团股份有限公司
TY295I4$\\begin{array} {c}{2\\mathrm{}-95} \\\\ {\\times105} \\end{array}$1.489自然吸气直喷式 20/250014.7/200087.9/1820$ \\leqslant 251.6 $$ \\begin{array}{r}564\\times 540\\\\ \\times 678\\end{array} $210 农用车、拖拉机 江动集团多缸机分厂
TY2954$\\begin{array} {c}{2\\mathrm{L}-95} \\\\ {\\times108} \\end{array}$1.531自然吸气水冷直喷式18.4/230087.8/1610$ \\leqslant 2.72$$ \\begin{array}{r}539\\times 503\\\\ \\times 660\\end{array} $190 小拖、农用车、船舶等 湖南省衡阳建湘柴油机厂
"} {"image_path": "images/62eeb93cb29cd20bf65c59cd07672c40.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基本尺寸(mm) 公 差 带
cd
大于89101112137891011
3040-120
-159
-120
-182
-120
-220
-120
-280
-120
-370
-120
-510
-80


-105
-80


-119
-80


-142
-80


-180
-80


-240
4050-130
-169
-130
-192
-130
-230
-130
-290
-130
-380
-130
-520
5065-140
-186
-140
-214
-140
-260
-140
-330
-140
-440
-140
-600
-100


-130
-100


-146
-100


-174
-100


-220
-100


-290
6580-150
-196
-150
-224
-150
-270
-150
-340
-150
-450
-150
-610
80100-170
-224
-170
-257
-170
-310
-170
-390
-170
-520
-170
-710
-120


-155
-120


-174
-120


-207
-120


-260
-120


-340
100120-180
-234
-180
-267
-180
-320
-180
-400
-180
-530
-180
-720
120140-200
-263
-200
-300
-200
-260
-200
-450
-200
-600
-200
-830
-145




-185
-145




-208
-145




-245
-145




-305
-145




-395
140160-210
-273
-210
-310
-210
-370
-210
-460
-210
-610
-210
-840
160180-230
-293
-230
-330
-230
-390
-230
-480
-230
-630
-230
-860
"} {"image_path": "images/f2fa4965e6ef34c4c2b551fad49cc39d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
E$\\mathcal{M} = \\langle 2l, 2m \\mid r \\rangle$Tiles in the honeycomb $\\mathcal{H}(\\mathcal{M})$Order of $S(\\mathcal{M})$
(if finite)
(r,m)$t\\{l, r\\}$
$\\langle 4,4 \\mid r \\rangle$$(r,2)$$t\\{2, r\\}$$8r^2$
$\\langle 4,6 \\mid 3 \\rangle$$(3,3)$$t\\{2,3\\}$240
$\\langle 6,4 \\mid 3 \\rangle$$(3,2)$$t\\{3,3\\}$240
$\\langle 4,8 \\mid 3 \\rangle$$(3,4)$$t\\{2,3\\}$2304
$\\langle 8,4 \\mid 3 \\rangle$$(3,2)$$t\\{4,3\\}$2304
$\\langle 4,6 \\mid 4 \\rangle$$(4,3)$$t\\{2,4\\}$
$\\langle 6,4 \\mid 4 \\rangle$$(4,2)$$t\\{3,4\\}$
$\\langle 6,6 \\mid 3 \\rangle$$(3,3)$$t\\{3,3\\}$
$\\langle 4,6 \\mid 5 \\rangle$$(5,3)$$t\\{2,5\\}$
$\\langle 6,4 \\mid 5 \\rangle$$(5,2)$$t\\{3,5\\}$
$\\langle 4,10 \\mid 3 \\rangle$$(3,5)$$t\\{2,3\\}$
$\\langle 10,4 \\mid 3 \\rangle$$(3,2)$$t\\{5,3\\}$
$\\langle 6,8 \\mid 3 \\rangle$$(3,4)$$t\\{3,3\\}$
$\\langle 8,6 \\mid 3 \\rangle$$(3,3)$$t\\{4,3\\}$
$\\langle 6,10 \\mid 3 \\rangle$$(3,5)$$t\\{3,3\\}$
$\\langle 10,6 \\mid 3 \\rangle$$(3,3)$$t\\{5,3\\}$
$\\langle 8,8 \\mid 3 \\rangle$$(3,4)$$t\\{4,3\\}$
$\\langle 6,6 \\mid 4 \\rangle$$(4,3)$$t\\{3,4\\}$
$\\langle 8,10 \\mid 3 \\rangle$$(3,5)$$t\\{4,3\\}$
$\\langle 10,8 \\mid 3 \\rangle$$(3,4)$$t\\{5,3\\}$
$\\langle 10,10 \\mid 3 \\rangle$$(3,5)$$t\\{5,3\\}$
$\\langle 6,6 \\mid 5 \\rangle$$(5,3)$$t\\{3,5\\}$
"} {"image_path": "images/820f16fe05fcadfa1e1a1064d1491e3e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地区河 流颗粒组成(粒径: mm) (%)有机质$~~(\\%)$全氮(%) 全 磷$\\left(\\mathrm{P}_{2} \\mathrm{O}_{5}\\right.$,$~~\\%)$ 全 钾$\\left(\\mathrm{K}_{2} \\mathrm{O}\\right.$,$~~\\%)$$\\begin{array}{l}CaCO_{3}\\\\(\\%)\\end{array}$阳离子交换量[cmol(+)/kg]
1-—0.250.25—0.050.(5—0.010.01—0.0050.005—0.001<0.001
阿勒泰吉木乃河0.57.217.412.522.639.81.860.1140.1882.167.4523.26
伊犁
谷地
夏塔河
特克斯河

1.5
0.3
48.0
28.4
41.1
32.2
1.2
22.0
1.9
17.1
6.3
1.90
1.78
0.107
0.113
0.116
0.170
3.10
1.92
31.8
26.48
17.63
1.12
天山
北麓
玛纳斯河
雀儿沟
0.3
65.7
0.7
23.5
20.1
0.5
15.0
1.1
32.6
3.9
31.6
0.62
1.74
0.017
0.141
0.156
0.218
2.63
2.98
12.9
12.1
2.91
8.07
天山
南麓
开都河6.555.212.511.214.61.030.1090.1602.1324.88
库车河8.539.614.519.517.90.790.0450.1522.4317.7610.42
阿克苏河47.446.42.90.82.50.310.0080.1702.1325.611.22
昆仑山
北麓
玉龙喀什河0.372.824.01.20.51.20.240.0100.2062.555.150.92
喀拉喀什河2.058.435.11.10.92.50.330.0270.1362.3311.501.97
提兹那甫河1.341.146.54.52.73.90.390.0130.1322.5017.592.04
于田河51.336.73.54.14.40.380.0160.1441.8613.302.20
若羌河0.323.462.53.03.96.90.460.0210.1622.1714.32.46
"} {"image_path": "images/527799f02daad2f6226a712475e17ab5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n
Landform complexSeed yield , $\\mathbf{Mg~ha}^{-1}$
0N0.5N1N1.5N2NPercentage yield†
$\\underline{1996}$
Convex334‡ ± 150§569 ± 150666 ± 182830 ± 1591351 ± 13940.2
Linear684 ± 2241012 ± 2611119 ± 2711289 ± 2161351 ± 13950.6
Concave1313 ± 2961281 ± 3151657 ± 1991658 ± 2841977 ± 37666.4
Column mean777 ± 470954 ± 3841144 ± 4471259 ± 4081340 ± 59652.4
$\\underline{1997}$
Convex368 ± 40548 ± 280604 ± 287617 ± 164598 ± 17359.6
Linear851 ± 321964 ± 2611034 ± 2851098 ± 3191151 ± 26473.9
Concave1089 ± 5371403 ± 4511547 ± 5421749 ± 5541949 ± 53355.6
Column mean769 ± 459972 ± 482999 ± 6011155 ± 5961232 ± 66262.4
$\\underline{1998}$
Convex356 ± 203383 ± 77430±241473 ± 156473 ± 25475.2
Linear564 ± 217788 ± 291892 ± 236828 ± 297845 ± 37263.2
Concave964 ± 2771187 ± 1191187 ± 2021207 ± 1421145 ± 17779.9
Column mean628 ± 308786 ± 380837 ± 385836 ± 365821 ± 38676.5
"} {"image_path": "images/cf60baee575a23e4d8a45ab8787644b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
洛 林 煤 矿中 南 煤 田
19731969197019711972197319691970197119721973
99.6043.8044.1044.6044.9044.0080.8078.8064.7057.0048.50
18.74
2.87
5.80
1.70
5.44
1.46
5.36
1.48
5.15
1.53
4.68
1.29
10.80
1.90
10.94
1.12
9.40
0.98
9.20
0.90
7.70
0.91
18.74
2.87


5.36
1.48
5.15
1.53
4.68
1.29


8.53
1.78
8.20
2.00
6.82
1.79
17.94
17.94


24.00
5.20


27.00
4.71


25.00
4.62
4.62
0

22.00
4.55
4.55
0

22.90
4.07
4.07


21.30
10.20


22.00
10.46


21.00
9.01
8.14
0.87

22.00
9.10
8.00
1.00

24.30
7.58
6.70
0.85

23.70
1.99
16.10
1.40
18.00
1.19
18.00
1.27
19.00
1.23
21.10
0.98
21.50
1.3
9.50
0.75
9.00
0.70
8.00
0.70
9.00
0.66
8.20
"} {"image_path": "images/40aaac9a502aaf6b95c533c276769f7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年(月)别緝 私 案 件Cases of Seized Smuggled Goods
總 計Grand Total海 關 自 行 緝 獲
Seized by Customs Office
治 安 機 關 移 交
Transferred fromLaw-enforcement Agencies
件 數
No. of Case
結構比
%
件 數
No. of Case
結構比
%
件 數
No. of Case
結構比
%
101年6,868100.06,83099.4380.6
102年6,149100.05,80194.33485.7
103年5,601100.05,43597.01663.0
104年8,079100.07,20489.287510.8
105年9,863100.09,03091.68338.4
106年12,245100.011,81096.44353.6
107年17,250100.016,62396.46273.6
108年16,039100.015,65897.63812.4
109年14,337100.014,22899.21090.8
110年11,996100.011,10892.68887.4
11月1,403100.01,39499.490.6
12月1,103100.01,10199.820.2
111年18,510100.018,38899.31220.7
1月2,139100.02,10898.6311.4
2月1,137100.01,10597.2322.8
3月1,738100.01,71398.6251.4
4月1,664100.01,66199.830.2
5月1,334100.01,33399.910.1
6月1,699100.01,69299.670.4
7月1,590100.01,58799.830.2
8月2,052100.02,04399.690.4
9月1,788100.01,77899.4100.6
10月1,271100.01,27099.910.1
11月2,098100.02,098100.0--
"} {"image_path": "images/ec621bd96bc17d0a9c3888ece5d85cf8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
COUNTRYRATE PER 1,000WOMEN PER
1,000 MEN
LIFE EXPECTANCY AGE GROUPS(%)
BIRTHSDEATHSNATURALI
NCREASE
INFANT
MORTALITY
MENWOMEN0-1415-6465+
DENMARK16.69.57.122.51,01666.972.625.763.910.4
FINLAND18.49.09.419.81,08063.469.830.262.67.2
ICELAND27.46.620.813.397866.170.334.757.47.9
NORWAY17.59.18.418.71,00771.174.725.963.210.9
SWEDEN13.99.84.115.51,00570.974.422.266.011.8
NORDEN16.29.46.818.61,02468.373.025.564.210.3
UNITED STATES23.49.3 14.125.21,03066.573.031.159.79.2
CANADA26.07.718.327.397367.672.933.559.07.5
"} {"image_path": "images/8b9d3b273b76ab969ea091fb34e26fc1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
國 别英 幣美 幣
原 名 SovereignShillingPenceDollarCent
譯 名索 佛 # 先 #辩 士大 赉生 脱
略 號

120
1
240
12
1100
"} {"image_path": "images/82f3eb323baa379da81652cce530e90d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2.8FrequencyPercentValid PercentCumulativePercent
Validน้องที่สุด13.33.33.3
น้อง620.020.023.3
นานาชา1240.040.063.3
มาก 723.323.386.7
มากที่สุด413.313.3100.0
Total30100.0100.0
"} {"image_path": "images/490d70b0f00e31f0643e00bd57683a96.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
總計結無果形不停明顿或求 要 方 資
承未認經接一受部接全受部
"} {"image_path": "images/63056840ef28aef0435cb7881ee1b27f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
性别
序号123456
得分1000 米跑(秒)排球对墙垫球(次)篮球运球投篮(秒)50 米跑(秒)立定跳远(米)掷实心球(米)
103:2565186.92.4310.0
93:3555247.22.339.4
83:4547327.52.258.8
73:5540387.72.188.2
64:0535437.92.117.6
54:1530488.12.057.0
44:2526538.31.996.4
3注:1000 米在6:00 内跑到均计 3 分22578.51.935.9
218618.71.875.4
114699.31.734.6
"} {"image_path": "images/b6c812576ef7dfb0415fa0807a7d4316.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
a=0a=1a=10$a = 10^2$
$σ_{1}$$ 4.2276457_{10}+1 $$ 5.3800252_{10}+1 $$ 1.6569779_{10}+2 $$ 1.3101800_{10}+3 $
$σ_{2}$ $3.9352738_{10}+0$ $ 4.2920194_{10}+0 $$ 5.2187511_{10}+0 $$5.5900245_{10}+0$
$σ_{3}$ $4.6344948_{10}-1$ $ 3.3391040_{10}-1 $$ 8.9164635_{10}-2 $$ 1.0527645_{10}-2 $
$cond_{2}$$9.12_{10}+1$ $1.61_{10}+2$ $ 1.86_{10}+3 $$ 1.24_{10}+5 $
$cond_{F}$$9.23_{10}+1$ $1.62_{10}+2$ $ 1.86_{10}+3 $ $1.24_{10}+5$
$a = 10^3$$a = 10^4$|a|→∞
$σ_{1}$
$σ_{2}$
$σ_{3}$
$ \\begin{align*}1.2765178_{10}+4\\\\5.6367799_{10}+0\\\\1.0715637_{10}-3\\end{align*} $$ \\begin{array}{l}{ 1.2731646_{10}+5} \\\\5.6415701_{10}+0 \\\\1.0734736_{10}-4 \\\\ \\end{array} $$ \\begin{align*}&\\sqrt{162|a|\\approx} 12.727922|a|\\\\&\\sqrt{5157/162}\\approx 5.6421036\\\\ &\\sqrt{5945/5157}\\frac{1}{|a|}\\approx 1.0736862\\frac{1}{|a|}\\end{align*}$
$\\left.\\begin{array}{c}\\operatorname{cond}_{2} \\\\ \\operatorname{cond}_{F}\\end{array}\\right\\}$$ 1.19_{10}+7 $$ \\begin{array}{l}\\\\ 1.19_{10}+9\\\\ \\end{array} $$\\sqrt{\\frac{835434}{5945}}|a|^{2} \\approx 11.854|a|^{2}$
"} {"image_path": "images/0a03763348f69a34e293caa33ca3374b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Household structureClass labelTotals
Landlord Rich
peasant
Middle
peasant
Poor
peasant
Unknown
I N D I V I D U A L
Number of households004$11^a$015
Total membership00413017
Average membership0.000.001.001.180.001.00
Membership as percentage ofclass or total population0.00%0.00%0.73%2.37%0.00%1.46%
C O N J U G A L
Number of households5489917196
Total membership171436034829768
Average membership3.403.504.043.824.143.92
Membership as percentage ofclass or total population100.00%100.00%65.57%63.50%78.38%65.92%
S T E M
Number of households002630258
Total membership001591878354
Average membership0.000.006.126.234.006.10
Membership as percentage ofclass or total population0.00%0.00%28.96%34.12%21.62%30.39%
J O I N T
Number of households003003
Total membership00260026
Average membership0.000.008.670.000.008.67
Membership as percentage ofclass or total population0.00%0.00%4.74%0.00%0.00%2.23%
A L L H O U S E H O L D S
Number of households541221329272
Total membership1714549 548 37548371165
Average membership3.403.504.504.154.114.28
Membership as percentage oftotal population1.46%1.20%47.12%47.04%3.18%100.00%
"} {"image_path": "images/018d0078f50fa99ff5128ee61c43835f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Queen numberPosition with normal workers (W)Position with microgyne workers (w)
core larvalfringecore larvalfringe
Microgyne:118511356
2147310113
31383879
412847710
5969798
68886414
7----4713
8---2814
Sum7442 28575877
Percentage5129 19303040
Normal queen:1101131644
267111473
3513 61185
4---888
Sum2131204927 20
Percentage294328512821
"} {"image_path": "images/92c2247f5f5c4adc2ec2e52a449f41a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Table 1New and Revised Focal Plane Mechanisms Compiled for this Study
Dateyyyy/mm/ddLat(°N)Long(°W) Z(km)$M_{w}$Strike(°)Dip(°)Rake(°)Type $S_{H}$Azi(°N E)Φ$\\begin{array}{c}{\\Delta\\mathbf{str}}\\\\{(^{\\circ})}\\end{array}$$\\begin{array}{c}\\Delta\\mathbf{dip}\\\\(^{\\circ})\\end{array}$Ref
1963/03/03 36.6490.05154.730478-28SS830.727321
406315
1967/07/2137.4490.44154.035060135T820.309321
1165240
1991/05/0436.5689.8384.1906720T830.08716101
35272158
1996/11/2935.9790113.81206515T750.196412
2476164
2003/06/0636.8989.010.54.025080155SS960.712123
3456511
2004/06/1536.7389.684.53.51755570T830.363292
2740116
2004/07/1636.8689.1743.54371159SS880.0992122
1407020
2005/02/1035.7590.23144.15580-165SS750.589742
32276170
2005/05/0135.8390.1584.23156020SS750.447942
21474148
2005/06/0236.1489.46153.91556570T880.5745182
1832128
2005/06/2036.9588.9693.73158010SS960.0860202
22381179
2010/03/0236.7989.3653.421186135SS830.378412
305455
The preferred nodal plane is indicated in bold. $\\Delta$ str and $\\Delta$ dip are strike and dip misfits (in degrees) between the preferrednodal plane and the nearest test plane that slips with $\\mu=0.6$. SS = strike – slip, T = thrust. References: (1) Herrmann andAmmon (1997); (2) Saint Louis University Earthquake Center; (3) Lamont-Doherty Cooperative Seismograph Network.
"} {"image_path": "images/789dfaf040779f37a958e87a7cfb6479.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
nCondition$CO_2$, mmol$CO_2/Cr(VI)$
53.501.11
3.221.02
5Degassed3.441.09
50.2 M acrylamide3.341.06
50.2 M acrylonitrile3.54 1.12
50.2 M $HgCl_2$3.42 1.08
46.352.01
6.482.05
4Degassed6.382.02
40.2 M acrylamide6.291.99
66.131.94
6.382.02
6Degassed6.382.02
60.2 M acrylamide6.352.01
"} {"image_path": "images/cf865d5216df3b2e56aa2540a7e9836f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$R^4$ M.p.Reference
H137°1530
H238°559
177°1072
143°1072
175°1658
"} {"image_path": "images/429c3b1be152643fadb7233c6e42218b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检尺径( cm )检 尺 长 ( m )
4.04.24.44.64.85.05.25.45.65.8
材$\\ \\ \\ 积\\ \\ \\ (\\mathrm{m}^{\\mathrm{8}})$
40.01130.01220.01320.01#20.01520.01630.01750.01860.01990.0211
60.02010.02160.02310.02470.02630.02800.02980.03160.03340.0354
80.0310.0340.0360.0380.0400.0430.0450.0480.0510.053
100.0450.0480.0510.0540.0580.0610.0640.0680.0710.075
120.0620.0650.0690.0740.0780.0820.0860.0910.0950.100
140.0830.0890.0940.1000.1050.1110.1170.1230.1290.136
160.1060.1130.1200.1260.1340.1410.1480.1550.1630.171
180.1320.1400.1480.1560.1650.1740.1820.1910.2010.210
200.1600.1700.1800.1900.2000.2100.2210.2310.2420.253
220.1910.2030.2140.2260.2380.2500.2620.2750.2870.300
240.2250.2390.2520.2660.2790.2930.3080.3220.3360.351
260.2620.2770.2930.3080.3240.3400.3560.3730.3890.406
280.3020.3190.3370.3540.3720.3910.4090.4270.4460.465
300.3440.3640.3830.4#40.4240.4440.4650.4860.5070.528
320.389 0.4110.4330.4560.4790.5020.5250.5480.5710.595
340.4370.4610.4860.5110.5370.5620.5880.6140.6400.666
360.4870.5150.5420.5700.5980.6260.6550.6830.7120.741
380.5410.5710.6010.6320.6630.6940.7250.7570.7880.820
400.5970.630 0.6630.6970.7310.7650.8000.8340.8690.903
420.6560.6920.7290.7660.8030.8400.8770.9150.9530.990
440.7170.7570.7970.8370.8770.9180.9590.9991.0401.082
460.7820.8250.8680.9120.9550.9991.0431.0881.1321.177
480.8490.8960.9420.9901.0371,0841.1321.1801.2281.276
500.9190.9691.0201.0711.1221.1731.2241.2761.3271.379
520.9921.0461.1001.1551.2101.2651.3201.3751.4311.486
541.0871.1251.1841.2421.3011.3601.4191.4781.5381.597
561.1451.2081.2701.3331.3961.4591.5221.5861.6491:712
581.2261.2931.3601.4271.4941.5611.6291.6961.7641.832
601,3101.3811.4521.5241.5951.6671.7391.8111.8831.955
621.3971.4721.5481.6241.7001.7761.8531.9292.0052.082
641.4861.5661.6471.7281,8081,8891.9702.0512.1322.213
661,5781.6631.7491.8341.9202.0052.0912.1772.2632.348
681.6731.7631.8541.9442.0342.1252.2162.3062.3972.487
701.7711.8661.9612.0572.1522.2482.3442.4392.5352.631
721.8711.9722.0722.1732.2742,3752,4762.5762.6772.778
741.9752.0802.1862.2922.3992.5052.6112.7172.8232.929
762.0812.1922.3032.4152.5272.6382.7502.8622.9733.084
782.1892.3062.4242.5412.6582.7752.8933.0103.1273.244
802.3012.4242.5472.6702.7932.9163.0393.1623.2843.407
822.4152.5442.6732.8022.9313.0603.1893.3173.4463.574
842.5322.6672.8022.9373.0723.2073.3423.4773.6113.745
862.6522.7932.9343.0763.2173.3583.4993.6403.7803.921
882.7752.9923.0703.2173.3653.5123.6603.8073.9534.100
902.9003.0543.2083.3623.5163.6703.8243.9774.1304.283
923.0283.1893.3503.5103.6713.8313.9924.1524.3114.471
943.1593.3273.4943.6623.8293.9964.1634.3304.4964.662
963.2933.4673.6423.8163.9904.1644.3384.5124.6854.857
983.4293.6113.7923.9744.1554.3364.5174.6974.2775.057
100#.5693.7573.9464.1354.3234,5114,6994.8875.0735.260
1023.7113.9074.1034.2994.4944.6904.8855.0805.2745.467
1043.8554.0594.2634.4664.6694.8725.0745.2765.4785.679
1064.0034,2144.4254.6364.8475.058 5.2675.4775.6865.894
1084.1534.3724.5914.8105.0285.2475.4645.6815.8986.113
1104.3064.5334.7604.9875.2135.4395.6645.8896.1136.337
1124.4624.6974.9325.1675.4015.6355.868G.1016.3336.564
1144.6214.8645.1075.3505.5925.8346.0766.3166.5566.795
1164.7826.0345.2855.5365.7876.0376.2876.5366.7847.031
1184.9475.2075.4665.7265.9856.2446.502 6.759 7.015 7.270
1205.1135.3825.6515.9196.1866.4536.7206.9857.2507.514
"} {"image_path": "images/980e962460199bd658da4e4b09074462.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
托 运 人 姓 名 及 地 址SHIPPER'S NAME AND ADDRESS↓ 托 运 人 账 号SHIPPER'S ACCOUNT NUMBER 供 承 运 人 用FOR CAFRIER USE ONLY
航班/日期FLIGHT/DATE 航班/日期FLIGHT/DATE
已 预 留 吨 位BOOKED
收 货 人 姓 名 及 地 址CONSIGNEE'S NAME AND ADDRESS↓ 收 货 人 账 号CONSIGNEE'S ACCOUNT NUMBER运 费CHARGES
代 理 人 的 名 称 和 城 市Issuing Carrier's Agent Name and CityALSO nolity:
始 发 站AIRPORT OF DEPARTURE
到 达 站AIRPORT OF DESTINATION
托 运 人 声 明 的 价 值SHIPPER'S DECLARED VALUE 保 險 金 額AMOUNT OF INSURANCE所 附 文 件DOCUMENTS TO ACCOMPANY AIR WAYBILL
供 运 输 用FOR CARRIAGE 供 港 关 用FOR CUSTOMS
处 理 情 况 ( 包 括 包 装 方 式 、货 物 标 志 及 号 码 等 )HANDLING INFORMATION (INCL. METHOD OF PACKING IDENTIFYING MARKS AND NUMBERS. ETC. )
仵 数NO. OFPACKAGES 买际毛量(公斤)ACTUALGROSS WEIGHT(KG. )退价类别RATECLASS 收费重CHARGEABLEWEIGHT 负RATE 'CHARGE 货物品名及 (包括体积或尺寸)NATURE AND QUANTITY OR GOODS(INCL. DIMENSIONS OF VOLUME)
"} {"image_path": "images/a6bc69e03b514b4cee1a7e7c640d2f7d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
決算數預決算比較增減數(2)-(1)決算數占預算數之比率(2)/(1)%
合計(1)實現數保留數
應付數合計(2)
2,000,0001,307,573
0
602,203
1,909,776
-90,22495.49
2,000,0001,307,573
0
602,203
1,909,776
-90,22495.49
850,000826,417
0
0
826,417
-23,58397.23
850,000826,417
0
0
826,417
-23,58397.23
850,000826,417
0
0
826,417
-23,58397.23
174,0000
0
0
0
-174,0000.00
174,0000
0
0
0
-174,0000.00
2,793,7162,793,716
0
0
2,793,716
0100.00
2,793,7162,793,716
0
0
2,793,716
0100.00
2,793,7162,793,716
0
0
2,793,716
0100.00
53,018,21653,018,216
0
0
53,018,216
0100.00
53,018,21653,018,216
0
0
53,018,216
0100.00
53,018,21653,018,216
0
0
53,018,216
0100.00
7,462,0217,462,021
0
0
7,462,021
0100.00
7,462,0217,462,021
0
0
7,462,021
0100.00
"} {"image_path": "images/2ff29190ca70899522477ff70a405dc4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
輸 出 價 值
1929年1932年1937年1938年
埃 及343 , 000 公噸301 , 000公噸400 , 000公噸357 , 000 公噸63 , 000 , 000 美金
美 國 1 , 762 , 0002, 138 , 0001 , 377 , 0001 , 038 , 000132 , 000 , 000
印 度714 , 000291 , 000661 , 000408 , 0005 , 000 , 000
中 國 57 , 00040 , 00038 , 000137 , 00012 , 000 , 000
巴 西49 , 0001 , 000236 ;000269 , 00032 , 000 , 000
全世界 3 , 161 , 0003 , 009 , 0003 , 169 , 000
"} {"image_path": "images/b5bd302773f2827da4ad51003e8d2c7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
from June $7^{\\text {th }}$ to $14^{\\text {th }}$ for housekeeping1411
on $15^{\\text {th }}$, 2 hams 35 pounds at 7 pence a pound1
June, expenses from $17^{\\text {th }}$ to $23^{\\text {rd }}$191
from $24^{\\text {th }}$ to $30^{\\text {th }}$17$7^{1/2}$
July, from $1^{\\text {st }}$ to $7^{\\text {th }}$168
a tablecloth and a towel69
up to July $14^{\\text {th }}$136
up to$21^{\\text {st }}$ 1$3^{1/2}$
up to $28^{\\text {th }}$, including cleaning our room195
up to August $4^{\\text {th }}$ including our laundry1146
up to August $11^{\\text {th }}$1310
up to September $1^{\\text {st }}$3125
up to September $8^{\\text {th }}$ and to the barber for $1 / 2$ year1173
up to September $14^{\\text {th }}$149
up to $28^{\\text {th }}$ dito23$9^{1/2}$
October up to $5^{\\text {th }}$177
up to den $19^{\\text {th }}$22
up to October $26^{\\text {th }}$ with 1 purple cedar ${ }^{3}$and sawing wages for 2 carts of wood 12 s213
up to November $3^{\\text {rd }}$1164
2 carts of wood at $£ 4  8$ s and up to last day of November8107
month of December4123
January 17663164
month of February214$7^{1/2}$
month of March including what was owed to Ross714$6^{1/2}$
On the $13^{th}$ paid W. Miller's bill187
14120
598$2^{1/2}$
£Sd
into our household with laundry, rent et598$2^{1/2}$
other5110$11^{1/2}$
110192
1765 on June $7^{\\text {th }}$ paid to Mr. Stelwagen according to ticket for boards delivered£Sd
314
1765, on September $18^{\\text {th }}$ paid according to tickets everything spent on renovating our house, as well as on the fence of the Liberty land of the City of Philadelphia and what we received for it is listed under income4314
1764 spent on copying and travel on November $1^{\\text {st }}$ Brockden for the copy of 1715 our baggage from New York to Philadelphia postage for letters and a collection for poor Germans£Sd
46
9
10
"} {"image_path": "images/7306347dc2fe18e5892b7dc96ca30f5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
${\\mathrm{Source~}\\Delta_{t}}$${\\mathrm{Source~}\\Delta_{t}}$${\\mathrm{Source~}\\Delta_{t}}$${\\mathrm{Source~}\\Delta_{t}}$
Laing sample ${ }^{6} \\mathrm{from 3CR}$
$0013+79$ -53$0459+25$$+20$$1140+22$ +11$1832+47$$+25$
$0040+51$+18$0605+48$-63$1142+31$+14$1842+45$+20
$0106+13$-13$0733+70$+7$1157+73$+7$1845+79$-26
$0154+28$-8$0809+48$-82$1258+40$+20$1939+60$+16
$0210+86$+31$0833+65$-8$1609+66$-6$2104+76$+2
$0229+34$-8$0835+58$-67$1658+47$-6$2153+37$+7
$0410+11$-8$0850+14$-46$1704+61$-14
$0415+37$-15$1030+58$+1$1825+74$+60
"} {"image_path": "images/8a1eb29ef6dd1bb824cabac87cc80758.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StudyHazardFocusof studyDistribution inequitable by income?Distribution inequitable by race?Income orrace more important?
CEQ (1971)Air poll.Urban areaYesNANA*
Freeman (1972)Air poll.Urban areasYesYesRace
Harrison (1975)Air poll.Urban areasYesNANA
NationNoNANA
Kruvant (1975)Air poll.Urban areaYesYesIncome
Zupan (1975)Air poll.Urban areaYesNANA
Burch (1976)Air poll.Urban areaYesNoIncome
Berry et al. (1977)Air poll.Urban areasYesYesNA
Solid wasteUrban areasYesYesNA
NoiseUrban areasYesYesNA
Pesticide
poisoningUrban areasYesYesNA
Rat bite riskUrban areasYesYesNA
Handy (1977)Air poll.Urban areaYesNANA
Asch & Seneca (1978)Air poll.Urban areasYesYesIncome
Gianessi et al. (1979)Air poll.NationNoYesRace
Bullard (1983)Solid wasteUrban areaNAYesNA
U.S. GAO (1983)Haz. wasteSouthern regionYesYesNA
United Church of Christ (1987)Haz. wasteNationYesYesRace
Gelobter (1988 ; 1992)Air poll.Urban areasYesYesRace
NationNoYesRace
West et al. (1992)Toxic fishStateNoYesRace
consumption
"} {"image_path": "images/a21b966afbcc78b73e997c311b7faa76.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$t_L(j)$
j列
i行
$t_E(i)$
01281819232531
0283
2721
810
1853
94
232
256
31
"} {"image_path": "images/5b3e9026d5f858d710b75faba07333bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n
J' -manifoldA BCDEFG
$S_{mea}$$S_{cal}$$S_{mea}$$S_{cal}$$S_{mea}$$S_{cal}$$S_{mea}$$S_{cal}$$S_{mea}$$S_{cal}$$S_{mea}$$S_{cal}$$S_{mea}$$S_{cal}$
${ }^4 F_{3 / 2}$0.521 1.008 0.6070.9010.5790.805 0.6090.8640.5630.6800.5690.7540.6070.712
${ }^4 F_{5 / 2}+{}^2 H_{9 / 2}$2.5012.3982.4402.3772.3302.2822.1982.1371.9051.8582.2572.0802.1542.061
${ }^4 F_{7 / 2}+{}^4 S_{3 / 2}$1.9582.1152.1292.2272.1372.2121.8821.9511.7481.7911.8982.0251.9792.049
$^4F_{9/2}$0.6750.1620.5210.1640.4300.1610.1150.1450.1340.1300.1790.1450.2030.146
${ }^4 G_{5 / 2}+{}^2 G_{7 / 2}$10.37510.4068.4948.5137.8097.8246.7736.7894.9714.9774.7544.7574.6054.607
$^{2}K_{13/2}+{ }^4 G_{7 / 2}+{}^4 G_{9 / 2}$2.0771.6441.7241.4621.551.3351.0191.2861.1011.0191.0911.0831.0591.047
Rms $\\Delta S /\\left(10^{-20} \\mathrm{~cm}^2\\right)$0.4660.3050.2380.2730.0850.1540.093
Rms error/%5.124.023.394.431.823.302.03
Content/ % (mol fraction)0.090.180.27 0.36 0.450.540.63
n1.4621.4621.4621.4621.4621.4621.462
"} {"image_path": "images/5d63f6e44905bf4a21caac8f3e979403.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科 目月 份营 业 税其 他总 计
营 业 税临 贸 税小 计
一 月690,1955,234,8025,924,9975,338,117116,444,505
二 月240,7507,900,2868,141,0361,361,504157,391,640
三 月68,157,7856,857,18475,032,969792,690143,983,115
四 月341,0501,383,0901,724,14065,8905,877,716
五 月620,0003,486,2504,106,25072,10016,100,124
六 月5,719,6505,719,650141,60019,049,540
合 计70,067,78030,581,262100,649,0428,271,901458,842,640
"} {"image_path": "images/eb438b6b895c78228b1232047d4dee28.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
活 动商 品生产要素居 民企 业政 府储蓄投资国 外汇 总
活 动国内生产国内销售$\\mathrm{QD \\cdot PD}$$\\mathrm{出口}\\ QE \\cdot \\\\\\mathrm{pwe} \\cdot \\mathrm{EXR}$$\\mathrm{QA \\cdot PA}$
商 品 中间投入$\\mathrm{QINT \\cdot PQ}$居民消费$\\mathrm{QH \\cdot PQ}$政府消费$\\mathrm{QG \\cdot PQ}$ 投资$\\mathrm{QINV \\cdot PQ}$$\\mathrm{QQ \\cdot PQ}$
生产要素(劳动 , 资本)生产要素投入QLS, QKS要素收入
居 民居民要素收入政府向居民转移支付国外对居民转移支付居民总收入
企 业企业要素收入企业总收入
政 府增值税,间接税进口税,销售税要素税居民所得税企业所得税国外对政府的转移支付政府总收入
储蓄投资居民储蓄企业储蓄政府储蓄国外净储蓄总储蓄
国 外$\\mathrm{进口}\\ QM \\cdot\\mathrm{pum} \\cdot \\mathrm{EXR}$对国外要素的支付企业向国外支付盈余政府对国外的支付外汇支出
汇 总$\\mathrm{QA \\cdot PA}$$\\mathrm{QQ \\cdot PQ}$要素支出居民支出企业支出政府支出总投资外汇收入
"} {"image_path": "images/9f16f3ebb62e5f9454889f2480f667ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
ΓcCΓsCS/C
0.20.30.40.50.60.70.81.01.21.31.41.51.82.02.5
0.10.11.9455
2.2743
2.1876
2.4210
2.3042
2.4943
2.4021
2.5553
2.5406
2.6389
2.6249
2.6859
2.7199
2.7334
0.20.12.3520
1.4686
2.3101
1.7775
2.2883
2.1448
2.3168
2.3765
2.3532
2.5243
2.4101
2.6948
0.21.7341
2.0626
1.8653
2.1519
2.0101
2.2318
2.1454
2.2973
2.3545
2.3933
0.30.12.1256
0.9074
2.1001
1.5885
2.0908
2.0037
2.0973
2.2831
2.1229
2.6309
2.1329
2.7325
0.21.9623
1.7486
1.9449
1.8628
1.9545
2.0308
1.9946
2.1559
2.0907
2.4373
2.1304
2.4156
0.31.6020
1.9078
1.6614
1.9384
1.7224
1.9641
1.8352
2.0092
2.0392
2.0914
2.1213
2.1279
0.40.11.8660
0.6000
1.8609
0.9867
1.8545
1.5738
1.8534
1.9872
1.8612
2.5415
1.8653
2.7166
0.21.8277
1.4634
1.8154
1.7784
1.8193
1.9866
1.8498
2.2896
0.31.7129
1.7704
1.7230
1.8298
1.7553
1.9200
1.8303
2.0597
0.41.5551
1.7548
1.6532
1.7875
1.8014
1.8385
1.8592
1.8617
0.50.51.5279
1.5961
1.5766
1.6137
1.6168
1.6235
0.60.61.4391
1.4329
1.4500
1.4348
1.4476
1.4325
1.4422
1.4296
1.4282
1.4230
0.70.51.2840
1.5748
1.2797
1.6116
1.2746
1.6262
1.2711
1.6296
0.61.2903
1.4311
1.2853
1.4348
1.2788
1.4351
1.2746
1.4324
1.2659
1.4229
0.71.2945
1.2768
1.2908
1.2763
1.2832
1.2716
1.2782
1.2686
1.2680
1.2645
"} {"image_path": "images/bc6af1090fe1970cb092df138f7cd449.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年份招 生 数毕 业 生 # 在 校 生 数 各种培训班、迁修班结业生数(3个月以上)备 注
合计函授生夜大生合计函授生夜大####授生夜大生
196032
1975105
1976556
1978346
1980192
198190
1982175
1983323232483
198410056445676649
198518218223876509
"} {"image_path": "images/9ff4efed160e43b6a6c4c0c23ec2380f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名 称最大外形尺寸(毫米) 軌距
(毫米)
適用矿車图
紙 目 录
与軌縷
的中心距
(毫米)
重量
(公斤)
估价
(元)
图 号設計
日期
备 注
自軌項之 高
1.7米$^{3}$自卸式矿車卸矿曲軌 4600160900600T-0106085957201300T-01068256
1.7米$^{3}$自卸式矿車卸矿曲軌4600160915750OБ-0149535957201300OБ-01498658.6
$2.5 \\mathrm{米}^{3}$ 自卸式矿車卸矿油軌 51201601030600T-0107267258351500T-01075756
$2.5 \\mathrm{米}^{3}$ 自卸式矿車卸矿曲軌54201601090750T-0107787258351500T--01079456.2
$1.9米^{3}$自卸式矿車卸矿曲軌 460022306000105965010780106560.6
$0.55 \\mathrm{米}^{3}$ 翻斗車卸車架3250~15701040600T-0103319904720106460.6
$0.5 \\mathrm{米}^{3}$ 翻斗車卸車架 ~4150~ 8001040600010609906360106860.7
$0.6 \\mathrm{米}^{3}$ 固定式矿車翻車架180013661185600011133050111460.11
活箱矿車自动翻車器200016001790600OБ-0144252180107060.7 适用于$0.5米^{3}$的活箱木矿車
0.5米 ${ }^{3}$ 前倾式木矿車翻車架 139117361110600OБ-014419201OБ-01420658.2
$1.9米^{3}$ 自卸式矿車卸車架460022308206000105965083201139G1.3风动
"} {"image_path": "images/3df60fcabeb95ffb656ac7141e640a2d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
C-CS-S
$h/R_{1}$0.20.40.60.20.40.6
h/2lPresentLoy [21]PresentLoy [21]PresentLoy [21]PresentLoy [21]PresentLoy [21]PresentLoy 21]
0.43.23763.27761.83711.84181.42881.38332.18552.04711.36001.27981.13101.0835
0.65.31895.32302.79642.78972.00302.00293.86633.62122.08511.95311.53781.4518
0.87.55007.39133.87723.78862.68632.63255.75385.39832.97482.78943.93403.6853
19.97919.46115.06384.80343.45423.28707.72847.24313.93403.68532.69532.5290
"} {"image_path": "images/897ed5579b6b3e7a9da3f0f061a3120c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Bristol
171Cambridge
44203Cardiff
283257300Carlisle
206124238400Dover
"} {"image_path": "images/1a9aab382cc47293a45c84d5eb936e45.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
001200220032004
7,619$87,250$86,520$94,075
2,456115,111113,637119,117
0,000$53,162$35,500$45,000
9,96790,62179,37187,022
9,561103,732106,786115,464
8,803152,623152,779161,227
1,191104,841113,964121,318
"} {"image_path": "images/b094d97b6f16b3dddadd3f565f60be85.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
متطلب سابق ساعةمعتمدةساعات الاتصال أسبوعيأاسم المقرركود المقرر
معملتمرينمحاضرة
PHY 1122111مقدمة في هندسة القوى الكهربيةEE 242
-3212نبائط ودوائر إلكترونيةEEE 214
$ \\begin{array}{l}\\text { MTH 111 } \\\\ \\text { MTH 112 }\\end{array} $3022تحليل عددي وامتثالEEC 224
ENG 1213202كيمياء حيويةAMD 222
AMD 2213202(2) تشريح وفسيولوجيAMD 223
-2002 مقرر اختياري (2) (ريادة أعمال - محاسبة - تكاليف و دراسة جدوى)Elective
167411مجموع
"} {"image_path": "images/f1e0d018b51282ca897f64a4515fe48e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
鄭寶清劉權豪蘇巧慧鄭運鵬李俊俋柯建銘葉宜津
劉建國王定宇鍾孔炤陳素月李麗芬何欣純莊瑞雄
施義芳呂孫綾吳秉叡吳琪銘周春米許智傑林俊憲
邱議瑩蔡培慧鍾佳濱陳其邁黃秀芳陳明文林靜儀
林淑芬蘇震清余宛如江永昌吳焜裕邱泰源蔡適應
陳 瑩管碧玲陳賴素美陳歐珀洪宗熠Kolas Yotaka
劉世芳段宜康張宏陸李昆澤陳曼麗王榮璋郭正亮
張廖萬堅蘇治芬姚文智
"} {"image_path": "images/9bb0d11b58f70f0366fe00c5ff950b5f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
porphyrin $\\text{Cu}^{2+}$ incorporation rate constants in
9: 1 DMF-$\\mathrm{H}_{2}\\mathrm{O}^{c}$AOT-heptane-water reversed $micelles^d$${\\text{aqueous SDS}^e}$
$\\mathrm{H_{2}TAc}$$\\mathrm{H}_{2} \\mathrm{THex}$$H_2TAc$$H_2THex$$H_2THA$${\\text{H}_2\\text{TAc}}$
[4,0]$k(obsd) $$7.2 \\times 10^{-4}$$ 3.5\\times 10^{-4} $0.112.23.5$1.6\\times 10^{-3}$
$k(\\text{mic})^f$0.00470.0980.16$1.6 \\times 10^{-5}$
[3,1]$k(obsd)$$1.4 \\times 10^{-4}$1.51.51.1$7.6\\times 10^{-2}$
$k(\\text{mic})^f$0.0670.0680.051$7.8 \\times 10^{-4}$
cis[2,2]$k(obsd)$$1.0 \\times 10^{-4}$120.570.251.5
$k(\\text{mic})^f$0.540.0260.011$1.5 \\times 10^{-2}$
trans[2,2]$k(obsd)$$7.5 \\times 10^{-5}$200.310.131.1
$k(\\text{mic})^f$0.900.0140.0060$1.1 \\times 10^{-2}$
"} {"image_path": "images/ceebbb774fef3a085e99b391c118f961.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省级单位名称第一次第四次第五次第六次
35以下%56以上%35以下%56以上%35以下%56以上%35以下%56以上%
湖北3721635.2538443.643363732.6830192.932929035.0341124.922543931.0919712.41
湖南5551929.29125646.635435828.64105225.543746629.1864265.013875529.8270275.41
广东2059818.7898028.941895316.832772924.631808417.841049610.3518902 18.6778747.78
广西2257425.7878378.952233125.2770557.982371928.6658457.062240126.9069178.30
海南280520.75159611.81329024.959226.99432928.1312558.16397925.268875.63
重庆////////////2104727.8563948.46
四川9065328.12175455.447643027.07145825.169142928.95178735.667569730.87137295.60
贵州3520426.0892636.861703923.5848736.742184127.6851476.522568132.4446675.90
云南3504134.9058025.783627034.7952745.063372337.1533343.673565739.3929663.28
西藏661922.7920585.27875127.6530289.57869127.54319210.11676725.12285810.61
陕西3175330.6161225.903285331.0265186.153485128.9179246.572536625.5853615.41
甘肃2247237.1229754.912082133.1131014.932550235.9636125.092358232.9336365.08
青海284819.529236.33318621.6111998.13473625.3215368.21457224.4416658.90
宁夏405329.796314.64377827.385233.79419528.167675.15384925.555683.77
新疆1030423.0933427.491137525.5431176.991185829.3027926.901289831.9028467.04
合计79406927.381875656.4771127225.931894406.9167517727.541408515.7464928726.791347185.56
"} {"image_path": "images/f36d39650a3a9e490a91b35e817a18df.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$R(a_0)$$Σ_g$$Σ_u$
ExactApproximateExactApproximate
0.252.101 452.102 303.495 813.569 04
0.500.265 010.266 171.483 121.523 32
0.75-0.249 05-0.247 360.795 60 0.818 11
1.00-0.451 79-0.449 680.435 190.447 14
1.25-0.541 80-0.539 490.205 430.211 27
1.50-0.582 32-0.579 970.043 500.046 52
1.75-0.598 72-0.596 36-0.076 45-0.074 81
2.00-0.602 64-0.600 29-0.167 54-0.166 59
2.25-0.599 95-0.597 63-0.237 64-0.237 06
2.50-0.593 82-0.591 55-0.292 07-0.291 74
2.75-0.586 02-0.583 85-0.334 63-0.334 42
3.00-0.577 56-0.575 55-0.368 09-0.367 94
3.50-0.560 86-0.559 26-0.415 50-0.415 41
4.00-0.546 09-0.544 89-0.445 55-0.445 49
4.50-0.533 94-0.533 04-0.464 83-0.464 79
5.00-0.524 42-0.523 70-0.477 29-0.477 25
5.50-0.517 23-0.516 64-0.485 38-0.485 35
6.00-0.511 97-0.511 48-0.490 64-0.490 61
6.50-0.508 21-0.507 82-0.494 06-0.494 03
7.00-0.505 59-0.505 28-0.496 27-0.496 25
8.00-0.502 57-0.502 39-0.498 61-0.498 59
9.00-0.501 19-0.501 09-0.499 54-0.499 53
10.00-0.500 58-0.500 52-0.499 90-0.499 89
12.00-0.500 17-0.500 15-0.500 06-0.500 05
14.00-0.500 07-0.500 06-0.500 05-0.500 05
16.00-0.500 03-0.500 03-0.500 03-0.500 03
18.00-0.500 02-0.500 02-0.500 02-0.500 02
20.00-0.500 02-0.500 01-0.500 02-0.500 01
"} {"image_path": "images/efd8e6cf032516bd4d3eda9adb5a51a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
被调查人住所被调查人姓 名被调查人先人姓名被调查人先人职别原 籍旗 属备 考
沟帮子职业高中巴恩光夸哈达武显将军长白山正 黄存有家谱
正安乡马市村巴文生与巴恩光一家
巴文会
廖屯乡马太郎宝臣额亦都大 臣正 兰以下郎家都是一家
广宁乡赵营子郎凤阁
正安乡山后屯郎永顺正 黄
郎国宝
正安一村常雨顺关常宝领 催正白一旗与关屯关姓一家
常凤柱
汪家坟乡汪家坟常玉富正 黄
曹屯乡大祖村富香凌富神宝佐 领正白一旗
廖屯乡小亮甲富维扬富神太协 领与富乡伶一家
广宁乡窦屯窦有纯恩克森正 黄
"} {"image_path": "images/6248d68423e542a7054d546f3fefbfc3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\Omega = \\begin{bmatrix}\\Omega_{11} & \\Omega_{12} & \\Omega_{13} & -(Y_{11} + Y_{21}) & 0 & 0 & U\\Sigma_2 + P_1^T A & P_1^T B & P_1^T D & 0 & -P_1^T + E \\\\** & \\Omega_{22} & \\Omega_{23} & -(Y_{12} + Y_{22}) & 0 & 0 & P_2^T A + K^T & P_2^T B & P_2^T D & 0 & -P_2^T \\\\** & * & \\Omega_{33} & -(Y_{13} + Y_{23}) & 0 & 0 & P_3^T A & P_3^T B & P_3^T D & 0 & -P_3^T \\\\** & * & * & -V\\Sigma_1 + \\lambda \\Xi_1^T \\Xi_1 & 0 & 0 & 0 & V\\Sigma_2 & 0 & 0 & 0 \\\\** & * & * & * & -Q_3 & 0 & 0 & 0 & 0 & 0 & 0 \\\\** & * & * & * & * & -Q_1 & 0 & 0 & 0 & 0 & 0 \\\\** & * & * & * & * & * & -U + \\varrho_m^2 T + \\lambda \\Xi_1^T \\Xi_1 & 0 & 0 & 0 & A^T Q^T \\\\** & * & * & * & * & * & * & -V + \\lambda \\Xi_2^T \\Xi_2 & 0 & 0 & B^T Q^T \\\\** & * & * & * & * & * & * & * & -T & 0 & D^T Q^T \\\\** & * & * & * & * & * & * & * & * & -T & 0 \\\\** & * & * & * & * & * & * & * & * & * & -Q - Q^T \\\\\\end{bmatrix},$
"} {"image_path": "images/6ec5e01f23112e95d8ceae9b30f6e438.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目19701971197219731974197519761977197819791980$1981^①$
管材消费总计,万吨132.2146.9132.3167.8202.2236.4172.8275.2308.3263.0451.5358.7
开动钻机数,台10259761107119414721660165820012259217729123708
钻井数,口274082730028755276023289339097414554647948513512636246240783
钻井进尺,万米419839124215423546685444564965547053741388075647
消费管材数,吨/米0.030.0370.0310.040.0430.0430.0310.0420.0440.0350.0510.063
平均井深,米153214331466153414191392136314101454144614101384
"} {"image_path": "images/f82f91a9141ca7dc77f3555b664c393b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Geographical location Growing regionCrop type and numberof samplesCropping system
ProtectedOpen field
Cap Bon Korba
Takelsa
-
5
5
-
Conventional
Centre Chebika(Kairouan)
Sidi Ali Ben Salem
-
-
10
5
Conventional
Centre-OuestRegueb (SidiBouzid)-5Conventional
Sahel Centre-EastChott-Mariem
Sahline
Téboulba
Ouardanine
Békalta
Ouled chamekh
5
5
5
5
5
5
-
-
-
-
-
-
Organic
Conventional
Conventional
Conventional
Conventional
Conventional
Total-3525
"} {"image_path": "images/3085ed7c241386fea417be43e055f227.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
4 YEARS 5 YEARS 6 YEARS 7 YEARS 8 YEARS TOTAL GRAND T TAL
Boys Girls Boys Girls Boys Girls Boys Girls Boys Girls Boys Girls
Tools-Continued:
Industrial-Continued:
Electric engine····· 1 1 1
Forceps····· 1 1 l
Gimlet····· 1 1 2 2
Grass mower····· 1 6 1 2 4 6 10
Hammer····· 1 10 3 4 1 16 3 10
Hatchet····· 1 9 2 11 4 7 1 28 7 35
Hoe····· 1 1 1
Ice tongs····· 1 1 1 1
I er····· 35 21 67 50 40 35 31 14 14 2 187 120 30
Meat grinder····· 2 1 1 1 2 3 5
Moving picture machine····· 1 1 1 2 1 3
Nails····· 4 1 4 1 5
Pick····· 1 2 3 3
Pile driver····· 1 1 1
Pincers····· 4 4 4
Pitch fork····· 1 1 1 1 2
Plane····· 5 1 1 6 1 7
Plow····· 2 2 2 2 4
Printing outtit····· 1 1 1
Pulley and weight····· 1 1 1
Rake····· 3 5 12 12 11 13 5 1 31 31 6
“Sand grinder”····· 1 1 1 1 2
Saw····· 3 8 6 2 3 1 1 1 15 10 25
Scales····· 2 1 1 3 1 4
Screw driver····· 1 1 1
Soythe····· 1 1 2 2
Steaml rullcr····· 1 1 1
Steam shovel····· 1 1 1
Street repairing machine····· 1 1 1
Tacks····· 1 1 1 1
Telephone····· 1 1 2 2 2 4
Threshing machine····· 1 1 1
Tractor····· 1 1 2 2
Typewriter····· 1 1 1
Wireless····· 1 3 3 1 4
Wrench····· 1 1 1
Total····· 48 26 137 86 87 61 66 25 17 2 355 200 555
Fighting and hunting:
Bomb····· 1 1 1 1 3 1 4
Bow and arrows····· 2 1 1 6 1 8 1 1 17 4 2
Bullets and shell····· 1 1 2 1 4 1 5
Cannon····· 5 1 4 3 3 15 1 1
Cannon balls····· 1 1 1
Fish hooks····· 1 1 1
Fish line····· 2 1 3 3
Gun or pistol····· 3 9 17 6 15 6 12 56 15 7
"} {"image_path": "images/0ffb815261fb1ed371d511ecee6b8f9e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
China's annual growth rate
Year$e_t$DGDPSAGDPSA Seasonalcoefficients(SA) Projectedfuture valuesYearAnnual growthrate (%)
2014:q2-0.054119829.02
2014:q3-0.0683198310.75
2014:q4-0.06285.8662198415.21
2015:q10.199446.065630.999566.06294Source: WDI (2014)
2015q20.008856.074490.999056.06871
2015:q30.045016.119491.00316.13848
2015:q46.119491.001036.12582
"} {"image_path": "images/37c4d9eabd6cb0c58c98cb6456e2b5ce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
洋灰碴石洋 灰礫石或渣石
立 方 公 尺公 斤立 方 公 尺
1250,1992810,3970;9920,132
12,560,1672230,4171;0000,129
136,50,1472070,4410,9560,130
1480,1161640,4640,9280,128
15100,9301310,4650,9300,123
1680,9001350,5760,77401148
"} {"image_path": "images/f173f39ac5321b9955e8c22da687831e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AllStudies,ReferenceDistribution of G894T eNOS GenotypeAllele FrequencyPHWEControls
GGGTTTGT
CasesControlsCasesControlsCasesControlsCasesControlsCasesControls
24140 (45)35 (28)122 (39)67 (54)47 (15)21 (17)402 (65)137 (55)216 (34)109 (44)0.02
25492 (78)631 (89)131 (21)*72 (10)*na
26461 (83)433 (84)84 (15)76 (14)4 (0)4 (0)1006 (91)942 (91)92 (8)84 (8)0.94
2740 (43)70 (46)43 (47)68 (45)8 (8)11 (7)123 (67)208 (69)59 (32)90 (30)0.45
28139 (75)164 (84)44 (24)*29 (15)*na
291300 (84)2103 (83)227 (14)393 (15)12 (0)20 (0)2827 (91)4599 (91)251 (8)433 (8)0.55
3876 (64)63 (74)43 (36)22 (26)na
3959 (51)112 (51)48 (41)92 (41)9 (8)18 (8)0.85
23, white22 (51)303 (45)21 (49)*678 (55)*na
23, black40 (82)201 (80)9 (18)*50 (20)*na
30244 (48)262 (50)220 (43)215 (41)41 (8)42 (8)708 (70)739 (71)302 (29)299 (28)0.37
31119 (88)679 (86)16 (11)100 (12)0(0)10 (1)254 (94)1458 (92)16 (5)120 (7)0.46
3245 (42)38 (40)42 (40)36 (38)18 (17)20 (21)132 (62)112 (59)78 (37)76 (40)0.15
404 (20)5 (50)10 (50)5 (50)6 (30)00.93
3384 (48)93 (46)71 (41)88 (44)17 (9)19 (9)239 (69)274 (68)105 (30)126 (31)0.73
341099 (49)973 (48)925 (41)848 (42)205 (9)169 (8)3123 (70)2794 (70)1335 (29)1186 (29)0.61
3537 (46)36 (35)42 (53)*66 (64)*na
3651 (54)111 (55)40 (43)78 (38)2 (2)12 (5)142 (76)300 (74)44 (23)102 (25)0.06
37325 (52)536 (55)250 (40)368 (38)42 (6)56 (5)900 (72)1440 (75)334 (27)480 (25)0.51
1, white48 (42)53 (46)54 (48)53 (46)10 (8)7 (6)150 (66)159 (70)74 (33)67 (29)0.36
1, black57 (62)45 (51)31 (34)36 (41)3 (3)6 (6)145 (79)126 (72)37 (20)48 (27)0.65
Total4633 (62)6262(67)2342 (31)2593 (28)409 (5)397 (4)10151 (77)13288 (80)2943 (22)3220 (19)
"} {"image_path": "images/6b9ea038837a64be010b7d79d486ebb2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
描述注册表项值名数据类型
禁用 CD-ROMHKLM\\SOFTWARE\\Microsoft\\WindowsNT\\CurrentVersion\\WinlogonAllocateCDROMS字符串
禁用软盘驱动器HKLM\\SOFTWARE\\Microsoft\\WindowsNT\\CurrentVersion\\WinlogonAllocateFloppies字符串
自动登录HKLM\\SOFTWARE\\Microsoft\\WindowsNT\\CurrentVersion\\WinlogonAutoAdminLogon二进制
禁用登录凭证的高速缓存HKLM\\Microsoft\\WindowsNT\\CurrentVersion\\WinlogonCachedLogonsCount字符串
不显示最后登入的用户HKLM\\SOFTWARE\\Microsoft\\WindowsNT\\CurrentVersion\\WinlogonDontDisplayLastUserName字符串
合法通知HKLM\\SOFTWARE\\Microsoft\\WindowsNT\\CurrentVersion\\WinlogonLegalNoticeText字符串
不登录关闭HKLM\\SOFTWARE\\Microsoft\\WindowsNT\\CurrentVersion\\WinlogonShutdownWithoutLogon字符串
在完全审核日志上关闭SYSTEM\\CurrentControlSet\\Control\\LsaCrashOnAuditFailDWORD
审核权力HKLM\\SYSTEM\\CurrentControlSet\\Control\\LSAFullPrivilegeAuditing二进制
LanManager 密码散列支持HKLMSYSTEM\\CurrentControlSet\\Control\\LSALMCompatibilityLevelDWORD
密码过滤HKLM\\SYSTEM\\CurrentControlSet\\Control\\LSANotificationPackages多字符串
"} {"image_path": "images/34d22a6e67f7be00ea3b7c113922cc6b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sl.no.Type ofcollectorPitch(cm)$\\tilde{T}_{fi}$(°C)$\\tilde{T}_{a}$(°C)$H_{T}$$(kJ/m^{2})$$Q_{u}$$(kJ/m^{2})$$(\\tilde{T}_{fi}-\\tilde{T}_{a})/H_{T}$$(^{\\circ}C-m^{2}/MJ)$$\\tilde{\\eta}$(%)
1Concrete(parallel flow)630.531.0213161806-0.02342.62
31.332.52234311233-0.05450.28
35.030.02406099750.20841.46
35.031.02268699150.17643.71
35.032.024577109700.12244.64
40.028.02078467460.57732.46
45.028.52428672610.67929.90
45.031.52247886920.60138.67
50.030.02021549530.98924.50
50.034.02391777910.66932.58
50.035.02427577940.61832.11
55.031.52073745021.13321.71
55.031.52463059250.95424.06
59.529.02000233611.52516.80
64.533.52228433851.39115.19
65.032.52408941021.34917.03
2Concrete(parallel flow)1028.031.32373112370-0.13952.13
30.531.0213169129-0.02342.83
40.028.02078463040.57730.33
45.031.02625783200.53331.69
50.030.02021549660.98924.57
59.529.02000228221.52514.11
3Concrete(parallel flow)1531.032.5223439369-0.06741.93
35.031.02268673880.17632.57
45.031.52247856880.60125.30
50.035.02427548560.61820.00
55.031.52073737461.13318.07
64.533.52228428411.39112.75
4Concrete(parallel flow)635.030.02406094260.20839.18
45.028.52428671940.67929.62
50.034.02391776160.66931.85
55.031.52463055950.95422.72
65.032.52408939381.34916.35
5Conventional(parallel flow)328.031.32373114335-0.13960.41
45.031.026257115900.53344.14
"} {"image_path": "images/9a53f126f0b7ba94b53a0e34f2c4f941.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$MR_D$Empirical formulaFound, $\\%$Calc., $\\%$
foundcalc.CHNCHN
87,5687,36$\\mathrm{C}_{16} \\mathrm{H}_{35} \\mathrm{NSi}$71,313,410,2*71,213,010,4*
73,5073,27$ C_{13}H_{29}NSi $68,613,012,7*68,612,812,3*
82,9582,89$\\mathrm{C}_{15} \\mathrm{H}_{33} \\mathrm{NSi}$71,013,05,570,513,05,4
92,0691,99$\\mathrm{C}_{17} \\mathrm{H}_{37} \\mathrm{NSi}$72,212,99,5*72,013,19,9*
101,53101,41$\\mathrm{C}_{10} \\mathrm{H}_{41} \\mathrm{NSi}$73,412,94,373,213,24,4
78,2777,90$\\mathrm{C}_{14} \\mathrm{H}_{31} \\mathrm{NSi}$69,913,011,4*69,612,911,6*
87,3287,40$\\mathrm{C}_{16} \\mathrm{H}_{35} \\mathrm{NSi}$71,012,610,1*71,213,010,4*
95,9896,50$\\mathrm{C}_{18} \\mathrm{H}_{39} \\mathrm{NSi}$72,313,44,372,613,24,7
92,5092,15$ C_{17}H_{37}NSi $71,213,24,972,013,14,9
106,18105,80$ C_{20}H_{43}NSi $73,913,64,273,713,34,3
80,5880,54$ C_{14}H_{31}NO_{3}Si $57,74,758,010,74,8
101,47101,65$ C_{15}H_{37}NO_{2}Si_{3} $52,210,83,951,810,74,0
"} {"image_path": "images/bc70f82fd15e255c9f1d186cb26f0a0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地震事件观测系统 发震时刻(北京时间)震中位置震中偏差$~~\\mathrm{D}^{*}$(公里)深度(公里)参加测定资料个数
北纬东 经
1976.7.28区域台网03-42-56$ 39^{\\circ} 38^{\\prime} $$ 118^{\\circ} 11^{\\prime} $11
唐山全国台网03-42-54.239.4° $118.0^{\\circ}$ 3122
7.8ISC03-42-34$ 39.56^{\\circ} $$117.87^{\\circ}$29$^*$$ ^*$ 10 $\\pm 1.3$580
宏观39.6°118.2°5$10\\pm10$
1979.7.9区域台网18-57-23.1$31^\\circ 27.5'$$119^\\circ 15.0'$12
溧阳全国台网18-57-21.58$ 31,408^{\\circ} $$119.223^{\\circ}$71289
6.0ISC 18-57-2231.45°119.24°1$^*$$ ^*$ 2 $\\pm 3.2$286
宏观$ 31^{\\circ} 27.7^{\\prime} $$ 119^{\\circ} 13.1^{\\prime} $3$ 10\\pm 6.4 $
1977.10.19区域台网10-44-46.4$ 23^{\\circ} 23^{\\prime} $$ 107^{\\circ} 30^{\\prime} $10
平果全国台网10-44-47.923.4° $10^{\\circ}-107.6^{\\circ}$ 93363
5.01SC10-44-49$ 23.37^{\\circ} $107.599$32\\pm12$57
宏观$23^{\\circ} 23.2$$107^{\\circ} 32^{\\prime} 12^{\\prime \\prime}$3
1977.12.19区域台网00-47-12$ 39^{\\circ} 54^{\\prime } $$ 77^{\\circ} 25^{\\prime } $
伽师全国台网00-47-16.640.0°77.2°2249
6.2ISC00-47-15.8$39.86^{\\circ}$ $77.30^{\\circ}$ 11**21276
宏观$ 39^{\\circ} 53^{\\prime} $$ 77^{\\circ} 30^{\\prime} $728
1975.2.4区域台网19-36-06$ 40^{\\circ} 39^{\\prime} $$ 122^{\\circ} 48^{\\prime } $12
海城全国台网19-36-0540.7° $122.7^{\\circ}$ 1016
7.3ISC19-36-05.8$40.66^{\\circ}$ $122.63^{\\circ}$ 14$^*$$ ^*$ 16 $\\pm 9$395
宏观$ 40^{\\circ} 42^{\\prime} $$ 122^{\\circ} 41^{\\prime } $1120
1976.8.16区域台网22-06-46$ 32^{\\circ} 42^{\\prime} $$ 104^{\\circ} 06^{\\prime} $15
松潘全国台网22-06-46.432.8°*104.3°2324
7.2ISC22-06-45 $32.78^{\\circ}$ $104.09^{\\circ}$ 9$^*$$ ^*$ 10$\\pm 0.6$434
宏观$32^{\\circ} 37^{\\prime}$$104^{\\circ} 08^{\\prime}$109±10
1976.11.7区域台网02-04-05$ 27\\cdot 36^{\\prime} $$101^{\\circ} 05^{\\prime}$19
盐源全国台网02-04-05.427.6° $101.1^{\\circ}$ 821
6.7ISC02-04-06$27.66^{\\circ}$$101.04^{\\circ}$18$^*$$ ^*$ 9 $\\pm 2.3$366
宏观$ 27\\cdot 27^{\\prime} $$101^{\\circ} 05^{\\prime}$4$5\\pm14$
"} {"image_path": "images/f20c0044a1fdf725f99b3a0c6b640551.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Additional Controls
Used in Table 3YesYesYesYes
Year Fixed EffectsYesYesYesYes
Industry Fixed EffectsYesYesYesYes
Std. Dev. cluster on yearsYesYesYesYes
Std. Dev. cluster on firmsYesYesYesYes
Number of Observations3,5153,5153,5153,515
$R^{2}$0.7420.7510.7360.730
"} {"image_path": "images/0575cac12a7c29acfa0f5d5463558a16.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
年份地区生产总值第一产业第二产业第三产业人均地区生产总值(元)
工业
20033161715 15659520330851934949 972035 33891
2004388769517495625891732477723112356640950
2005465110018620031802002993100128470036055
2006571958821578840596003854100144420043508
2007706305723295750074004748500 182270052145
2008850198725409758653905556690238250061360
2009965033234203263141005972300299420068681
20101163900036980074436007048000382560078020
20111376960040650086714008232400469170085195
20121536690046070092189008751400568730089978
20131737100047180098117009316100708740097617
2014190533004904001047460099542008088300104505
*2014173245003646001019620097140006763700120817
2015182008003876001040060097074007412600118386
20161958710040600010900400101722008280700118025
20172205650042070012219600114688009416200131799
2018 23224700400400 12786900 1197940010037400138280
201924834200387700135909001267120010855600147260
202026072139406000139381441393814411727994153889
(不含经开区)17429441380100861030978062128439031136757
202130054600393800163383001529740013322500176012
(不含经开区)200513003691001014210092884009540100156086
202231000600412100168836001569200013704900180303
(不含经开区)211594003866001093280099743009840000163624
202332228400429100171620001594300014637300187070
(不含经开区)22395800402800114515001048900010541500172834
"} {"image_path": "images/c2ec5f374d0915165bb4822eb625bb17.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SubjectWeightExtracellular WaterIntracellular WaterFat Free
A*BCDEABCDEABC DEAB
1-562-538-236+30+75+87 +126+188-238-26-8+129-78-239
2-236-716-180-101-427+61+257-243-94-150-255
3-288-999-288+220+110-238-85+368-84-145-49+261-148-319
4-200-575+50+325-28-229+175+222+2-134-10+133+6-155
5-450-725-75+250-203-236+199+314+17-161-112+155+31-255
6-650-800-175-251-241+91+103-215-158+6-281
7-326-726-824+1,150+119-195+140+642-38-150-58+263-1-243
8-850-850-350+850-93-180+142+639-39-124-50+330-98-349
9x †-75-426-518-414+195-91+144-84+144 -12-3-26-174
10x-163-374-675-302-178+63-24+96-49-49-179-4-108-191
11x-246-675-838-212+230+166-144-85-22+130-13-50-12-62+130-76-243
12x0-260-516-77-82+308+8-98-11+1+28-137+71-46+84-30-148
Mean-337-639-385-251+371+9-152+65-5+313+8-117-51-29+185-56-235
$SE^{+}_{+}$715782676250423136793778184293214
$S_*^*§$64104803240641048032406410480324064104
"} {"image_path": "images/c43882f59f347863fc79e77841cd9d5f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(百万港元 HKD MN.)
主 要 貨 品 類 別PRINCIPAL COMMODITY GROUPS200920102011
進 口IMPORTS
電子產品ELECTRONIC PRODUCTS1,359,3831,707,8211,882,382
紡織品和成衣TEXTILES AND CLOTHING197,740217,181220,425
首飾和金銀器JEWELLERY, GOLDSMITHS' AND SILVERSMITHS' WARE34,38752,50586,712
鐘錶WATCHES AND CLOCKS39,22057,71175,537
玩具與洋娃娃TOYS AND DOLLS81,52865,22466,362
塑膠產品PLASTIC PRODUCTS39,37946,30248,851
金屬製品MANUFACTURES OF METALS22,05826,81528,326
電器ELECTRICAL APPLIANCES17,51621,04822,242
印刷品PRINTED MATTER10,99112,51712,961
上列九個類別的總值TOTAL OF THE ABOVE 9 GROUPS1,698,3952,111,1222,337,672
佔所有進口百分率AS % OF ALL IMPORTS63$\\%$63$\\%$62$\\%$
轉 口RE-EXPORTS
電子產品ELECTRONIC PRODUCTS1,297,6511,613,2911,787,398
紡織品和成衣TEXTILES AND CLOTHING247,880269,778274,328
玩具與洋娃娃TOYS AND DOLLS91,82174,26377,694
鐘錶WATCHES AND CLOCKS43,39157,32868,653
塑膠產品PLASTIC PRODUCTS58,44565,80766,917
首飾和金銀器JEWELLERY, GOLDSMITHS' AND SILVERSMITHS' WARE30,08436,40247,882
金屬製品MANUFACTURES OF METALS22,10826,83228,696
電器ELECTRICAL APPLIANCES19,08322,53022,570
印刷品PRINTED MATTER14,71116,72917,110
上列九個類別的總值TOTAL OF THE ABOVE 9 GROUPS1,702,2362,067,8032,266,661
估所有转口百分率AS % OF ALL RE-EXPORTS71$\\%$70$\\%$69$\\%$
"} {"image_path": "images/d64fc6c6fb30f53440ea7573316d4b06.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AtomWyckoff$ \\mathrm{GaFeO}_{3}(\\mathrm{SR}) $$ \\mathrm{GaFeO}_{3}(\\mathrm{SG}) $
T = 300 KT = 3 KT = 300 KT = 3 K
Ga1x4a0.1514(6)0.1519(8)0.1542(1)0.1533(1)
z0.1780(8)0.1779(4)0.1782(5)0.1776(8)
$Biso ~ \\left(\\mathring{A}^{2}\\right)$0.78(3)0.09(5)0.28(8)0.02(2)
Occ.(Ga/Fe)$0.8 / 0.2$0.96/0.04
Ga2x4a0.1591(4)0.1608(5)0.1611(9)0.1609(8)
y0.3105(2)0.3086(1)0.3102(5)0.3103(2)
z0.8075(4)0.8078(1)0.8073(4)0.8069(3)
$Biso ~ \\left(\\mathring{A}^{2}\\right)$0.40(4)0.01(6)0.24(8)0.04(4)
Occ. (GaFe)$0.45 / 0.55$0.25/0.75
Fe1x4a0.1509(5)0.1527(9)0.1521(9)0.1531(2)
y0.5871(3)0.5841(8)0.5849(1)0.5847(3)
z0.1858(1)0.1885(9)0.1847(4)0.1856(4)
$Biso ~ \\left(\\mathring{A}^{2}\\right)$0.34(1)0.06(4)0.25(7)0.02(1)
Occ. $(\\mathrm{Ga} / \\mathrm{Fe})$0.30/0.70$0.49 / 0.51$
Fe2x4a0.0320(9)0.0330(1)0.0330(9)0.0320(1)
y0.7978(8)0.7953(3)0.7947(9)0.7943(5)
z0.6780(5)0.6783(1)0.6808(1)0.6805(5)
$Biso ~ \\left(\\mathring{A}^{2}\\right)$0.43(5)0.02(9)0.26(3)0.06(3)
Occ. $(\\mathrm{Ga} / \\mathrm{Fe})$$0.45 / 0.55$$0.28 / 0.72$
O1x4a0.3221(3)0.3236(8)0.3238(5)0.3225(7)
y0.4284(4)0.4272(4)0.4282(8)0.4277(3)
z0.9763(6)0.9751(7)0.9784(6)0.9776(5)
O2x4a0.4865(6)0.4887(5)0.4881(5)0.4887(4)
y0.4333(9)0.4326(6)0.4352(8)0.4349(1)
z0.5131(2)0.5153(3)0.5052(8)0.5044(8)
O3x4a0.9989(8)0.9999(8)0.9995(6)0.9993(4)
y0.2059(1)0.2017(4)0.2028(5)0.2031(6)
z0.6564(9)0.6516(6)0.6561(8)0.6590(4)
O4x4a0.1608(4)0.1600(1)0.1571(2)0.1557(7)
y0.1986(2)0.1970(9)0.1992(6)0.1990(2)
z0.1525(5)0.1552(1)0.1555(5)0.1538(7)
O5x4a0.1673(7)0.1693(6)0.1658(1)0.1652(5)
y0.6738(9)0.6717(3)0.6761(8)0.6771(2)
z0.8487(2)0.8465(1)0.8499(1)0.8503(8)
O6x4a0.1708(1)0.1692(2)0.1674(9)0.1669(4)
y0.9405(4)0.9399(3)0.9390(7)0.9382(5)
z0.5181(1)0.5177(6)0.5199(2)0.5191(9)
$Biso ~ (\\mathring{A})$0.49(1)0.11(2)0.41(5)0.18(3)
$a ~ (\\mathring{A})$8.7427(7)8.7327(6)8.7577(3)8.7478(7)
$b ~ (\\mathring{A})$9.3875(5)9.3801(7)9.4104(6)9.4047(1)
$c ~ (\\mathring{A})$5.0803(7)5.0743(9)5.0853(5)5.0793(9)
$ Vol. ~ \\left(\\mathring{A}^{3}\\right)$416.96(2)415.66(7)419.10(5)417.88(8)
$m_{x}\\left(\\mu_{B}\\right)$ 0.62(4)0.44(4)0.33(1)
$m_{y}\\left(\\mu_{B}\\right)$1.14(9)0.56(4)0.01(8)
$m_{z}\\left(\\mu_{\\mathrm{B}}\\right)$3.22(4)1.87(9)4.38(8)
m(μB)-3.47(9)2.01(1)4.40(1)
Reliability factcrs
$R_p$(%)9.105.319.428.80
$R_{wp}$(%)10.56.319.939.63
$R_B$(%)4.592.004.313.86
$R_{\\text {mag }}(\\%)$-3.6713.56.71
"} {"image_path": "images/2a5dfbc8f4e4edddff38a244d08fe010.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TaxonMean % GC±S.E.CH ± S.E.Asymmetry
P. flavescens38·2 ± 0·48·9 ± 0·4-0·5
S. vitreum40·8 ± 0·18·9 ± 0·51·6
S. canadense43·2 ± 0·110·2 ± 0·40·0
Subgenus PercinaP. caprodes39·5 ± 0·18·1 ± 0·8-0·2
Subgenus AlvordiusP. maculata39·5 ± 0·19·7 ± 0·80·0
Subgenus AmmocryptaA. pellucida42·8 ± 0·45·7 ± 0·4-1·2
Subgenus EtheostomaE. blennioides41·2 ± 0·48·5 ± 0·71·7
Subgenus OligocephalusE. caeruleum40·8 ± 0·17·7 ± 0·41·7
Subgenus CatonotusE. flabellare40·8 ± 0·17·3 ± 0·1-
Subgenus BoleostomaE. nigrum40·8 ± 0·18·9 ± 0·42·4
Subgenus NanostomaE. zonale41·2 ± 0·27·7 ± 0·31·7
"} {"image_path": "images/58d487f8aeb59010d90123849516030a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
第一部分第二部分第三部分第四部分第五部分
用数字表示器件的电极数目用汉语拼音字母表示器件的材料和极性用汉语拼音字母表示器件的类型用数字表示器件的序号用汉语拼音字母表示规格号
符号意义符号意义符号意义符号意义
2二极管A
B
C
D
E
N 型锗材料
P 型锗材料
N 型硅材料
P 型硅材料
化合物
P
Z
W
K
L
普通管
整流管
稳压管
开关管
整流堆
C
U
N
BT
参量管
光电器件
阻尼管
半导体特殊器件
"} {"image_path": "images/59ec5930e73324bc114ff64c7fecb175.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
789GLAUCA aka Rubrifolia69
605GLAUCA Nova24
756GLOIRE DE GUILAN6
757GLORY OF EDZELL(Pimpinellifolia)17
202GOLDBUSCH14
696GOLDEN SHOWERS21
138GOLDFINCH49
695GOLDSTERN8
357GRAHAM THOMAS5
264GREAT WESTERN35
188GRETA PERSSON5
640GRUSS AN ZABERN10
301HAIDEE (pimp x canina) 1,8m7
704HANSA165
431HARISON'S YELLOW (Focida)13
627HELENAE ARTEN (aka Mainau)15
40HELENAE HYBRIDA186
19HENRI MARTIN24
1172HENRICH Konrad SOTH19
363HERITAGE3
910HERKULES10
147HERMOSA10
104HEROINE DE VAUCLUSE19
259HIAWATHA25
448HIGHDOWNENSIS (Moyesii)6
279HIPPOLYTE18
895HOME & GARDEN5
314HUGONIS20
254HURDALSROSEN15
275HYPATHIA7
229HANDEL5
160ILSE KROHN SUPERIOR20
675INGRID BERGMAN50
845IRMA15
1161ISABELLA ROSSELLINI10
375ISPAHAN10
899IASMINA5
302JENS MUNK20
124JOHANNA ROPKE12
295JOHN CABOT11
852IOLLY DANCE10
659JOSEPH GUY7
834IOSEPHINE DE BEAUHARNAIS12
163KARL FORSTER (Pimpinellifolia)10
208KATHARINA ZEIMET348
319KIFTSGATE (Filipes)18
919KRONPRINSESSAN MARY20
32KONIGIN VON DANEMARK45
580Leveque27
531LA BELLE DISTINGUE5
304Lac Majeans16
1206LADY PENZANCE (Rubiginosa)6
893LAGUNA5
265LEDA24
514LEONARDO DA VINCI5
688LICHTKONIGIN LUCIA20
669LILLI MARLEEN7
242LITTLE WHITE PET10
"} {"image_path": "images/6d41e5419a8792779cf47c1dc5ae605e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日期方向货位1234910
一 股
仓 库
零 担
"} {"image_path": "images/31c162628b3d60dbbadaffd4154d155a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CueTitleDemoSketchOrchScoreRec.
3M26ASeptimus at Ocean18/04/0719/04/07
3M26BLamia Cliff$20 / 04 / 07$$20 / 04 / 07$
3M26B RLamia Cliff19/04/0730/04/0701/05/07$01 / 05 / 07$09/05/07
3M26B RAltLamia Cliff01/05/0701/05/0709/05/07
3M26B RRRLamia Cliff$25 / 04 / 07$$26 / 04 / 07$16/05/0716/05/0722/05/07
3M27Unicorn Rescues Yvaine13/04/07$18 / 04 / 07$
3M28Killing the Croc10/04/0719/04/07
3M29Creating the Inn$07 / 04 / 07$$09 / 04 / 07$$20 / 04 / 07$$20 / 04 / 07$$20 / 04 / 07$
3M29BUnicorn Ride$21 / 05 / 07$22/05/07
3M30Tristan's Dream13/04/0718/04/07
3M31Coach Chase25/05/07
3M31APrimus$24 / 05 / 07$$25 / 05 / 07$
4M32Lamia's Inn Part 119/04/07
4M33Lamia's Inn Part 2$24 / 05 / 07$$24 / 05 / 07$$25 / 05 / 07$
4M34Lamia's Inn Part 325/05/0725/05/0725/05/07
4M35Lightning Harvest$03 / 04 / 07$14/04/07$15 / 04 / 07$$15 / 04 / 07$20/04/07
4M36Tied Up in the Hold10/04/07-
4M36RTied Up in the Hold17/04/0719/04/07
4M36RRTied Up in the Hold19/04/0710/05/07
4M37Septimus at Inn$10 / 04 / 07$18/04/07
4M37RSeptimus at Inn$15 / 05 / 07$$22 / 05 / 07$
4M38Lamia in Coach16/04/0710/05/07
4M39Hold Conversation19/04/0719/04/07
4M40Magnificent Seven16/04/0720/04/07
4M41Shakespeare (Falling Body)13/04/0720/04/07
5M43Arrival at Ferdy's21/05/0721/05/0722/05/07
5M44Conversation12/04/0719/04/07
[5M45A]Pirate Montage for Demo25 / 07 / 06
5M45APirate Montage19/04/0720/04/0720/04/0720/04/07
5M45CWaltz$08 / 05 / 07$10/05/07
5M45BPirate Waltz20 / 04 / 07$01 / 05 / 07$09/05/07
5M46Boat Landing$21 / 05 / 07$$22 / 05 / 07$
5M47Captain Whispers13/04/0719/04/07
5M48Wot a Freak!$08 / 05 / 07$$25 / 05 / 07$
5M49Hedge Love13/04/0719/04/07
5M50The Can Can17/04/0718/04/07
5M51Milestone19/04/07
5M52Wet Septimus10/04/0718/04/07
5M53Turned to a Mouse11/04/0711/04/0718/04/0719/04/07
5M54Septimus Milestone$13 / 04 / 07$18/04/07
5M55Mouse Love09/05/0710/05/0710/05/0710/05/07
5M55 AltMouse Love16/05/0716/05/0722/05/07
5M55 Alt RMouse Love14/05/0714/05/0716/05/0716/05/0722/05/07
6M56Turned from a Mouse06/05/0710/05/07
6M57The Kiss11/04/0713/04/0719/04/07
6M59Witches Warn Lamia30/04/0710/05/07
6M60Walk to Wall$04 / 05 / 07$09/05/07
"} {"image_path": "images/e0a4b9dd404a4695acb0b3ab30e2efba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
高度/km乡村型,能见度 23km乡村型,能见度 5km城市型,能见度 5km海洋型,能见度 23km沙漠型,风速 10m/s沙漠型,风速 2m/s
气溶胶吸收$k_{\\mathrm{a}} / \\mathrm{km}^{-1}$气溶胶散射$\\sigma_{\\mathrm{a}} / \\mathrm{km}^{-1}$气溶胶吸收$k_{\\mathrm{a}} / \\mathrm{km}^{-1}$气溶胶散射$\\sigma_{a} / \\mathrm{km}^{-1}$气溶胶吸收$k_{\\mathrm{a}} / \\mathrm{km}^{-1}$气溶胶散射$\\sigma_{\\mathrm{a}} / \\mathrm{km}^{-1}$气溶胶吸收$k_{\\mathrm{a}} / \\mathrm{km}^{-1}$气溶胶散射$\\sigma_{\\mathrm{a}} / \\mathrm{km}^{-1}$气溶胶吸收$k_{\\mathrm{a}} / \\mathrm{km}^{-1}$气溶胶散射$\\sigma_{\\mathrm{a}} / \\mathrm{km}^{-1}$气溶胶吸收$k_{\\mathrm{a}} / \\mathrm{km}^{-1}$气溶胶散射$\\sigma_{\\mathrm{a}} / \\mathrm{km}^{-1}$
$\\lambda=0.532 \\mu \\mathrm{m}$
15 ~ 16$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 2 . 4 9 \\times 1 0 ^ { - 3 } $$ <1.00\\times 10^{-6} $$2.43\\times 10^{-3} $$ <1.00\\times 10^{-6} $$2.34\\times 10^{-3} $$<1.00\\times 10^{-6} $$ 2.67\\times 10^{-3} $<1.00×10-6$ 4.03\\times 10^{-4} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 4.03\\times 10^{-4} $
16 ~ 17$<1.00 \\times 10^{-6}$2. $20 \\times 10^{-3}$$ <1.00\\times 10^{-6} $$ 2.16\\times 10^{-3} $$ <1.00\\times 10^{-6} $$ 2.07\\times 10^{-3} $$ <1.00\\times 10^{-6} $$2.37 \\times 10^{-3}$$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 4.19\\times 10^{-4} $$<1.00 \\times 10^{-6}$$ 4.19\\times 10^{-4} $
17 ~ 18$ <1.00\\times 10^{-6} $$ 2.01\\times 10^{-3} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 1.90\\times 10^{-3} $$ <1.00\\times 10^{-6} $$ 1.91\\times 10^{-3} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$2.13 \\times 10^{-3}$$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 4.88\\times 10^{-4} $$ <1.00\\times 10^{-6} $$ 4.88\\times 10^{-4} $
18 ~ 19$<1.00 \\times 10^{-6}$$ 1.87\\times 10^{-3} $$<1.00 \\times 10^{-6}$$ 1.66\\times 10^{-3} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 1.78\\times 10^{-3} $$ <1.00\\times 10^{-6} $$ 1.93\\times 10^{-3} $$ <1.00\\times 10^{-6} $$ 5.70\\times 10^{-4} $$ <1.00\\times 10^{-6} $$ 5.70\\times 10^{-4} $
19 ~ 20$<1.00 \\times 10^{-6}$$ 1.71\\times 10^{-3} $$ <1.00\\times 10^{-6} $$ 1.42\\times 10^{-3} $<1.00×10-6$ 1.64\\times 10^{-3} $$ <1.00\\times 10^{-6} $$ 1.73\\times 10^{-3} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 6.07\\times 10^{-4} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 6.07\\times 10^{-4} $
20 ~ 21$<1.00 \\times 10^{-6}$$ 1.51\\times 10^{-3} $$ <1.00\\times 10^{-6} $$ 1.21\\times 10^{-3} $<$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 1.45\\times 10^{-3} $$<1.00 \\times 10^{-6}$$ 1.50\\times 10^{-3} $$ <1.00\\times 10^{-6} $$ 5.65\\times 10^{-4} $$<1.00 \\times 10^{-6}$$ 5.65\\times 10^{-4} $
21 ~ 22$<1.00 \\times 10^{-6}$$ 1.28\\times 10^{-3} $$ <1.00\\times 10^{-6} $$ 1.03\\times 10^{-3} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 1.23\\times 10^{-3} $$<1.00 \\times 10^{-6}$$ 1.26\\times 10^{-3} $$<1.00 \\times 10^{-6}$$ 4.76\\times 10^{-4} $$<1.00 \\times 10^{-6}$$ 4.76\\times 10^{-4} $
22 ~ 23$<1.00 \\times 10^{-6}$$ 1.06\\times 10^{-3} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 8.72\\times 10^{-4} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 1.01\\times 10^{-3} $$<1.00 \\times 10^{-6}$$ 1.03\\times 10^{-3} $$<1.00 \\times 10^{-6}$$3.69 \\times 10^{-4}$$<1.00 \\times 10^{-6}$$ 3.69\\times 10^{-4} $
23 ~ 24$<1.00 \\times 10^{-6}$$ 8.39\\times 10^{-4} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 7.31 \\times 1 0 ^ { - 4 } $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ < 8 . 0 2 \\times 1 0 ^ { - 4 } $$<1.00 \\times 10^{-6}$$8.13 \\times 10^{-4}$$ <1.00\\times 10^{-6} $$ 2.53\\times 10^{-4} $$<1.00 \\times 10^{-6}$$ 2.53\\times 10^{-4} $
24 ~ 25$<1.00 \\times 10^{-6}$$ 6.67\\times 10^{-4} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 6.09\\times 10^{-4} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 6.35\\times 10^{-4} $$<1.00 \\times 10^{-6}$$ 6.41\\times 10^{-4} $$<1.00 \\times 10^{-6}$$ 1.67\\times 10^{-4} $$<1.00 \\times 10^{-6}$$ 1.67\\times 10^{-4} $
25 ~ 30$<1.00 \\times 10^{-6}$$ 3.94\\times 10^{-4} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 3.54\\times 10^{-4} $$ <1.00\\times 10^{-6} $$ 3.73\\times 10^{-4} $$<1.00 \\times 10^{-6}$$ 3.73\\times 10^{-4} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 3.91\\times 10^{-5} $$<1.00 \\times 10^{-6}$$ 3.91\\times 10^{-5} $
30 ~ 35$<1.00 \\times 10^{-6}$$ 1.73\\times 10^{-4} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 1.46\\times 10^{-4} $$<1.00 \\times 10^{-6}$$ 1.60\\times 10^{-4} $$<1.00 \\times 10^{-6}$$ 1.62\\times 10^{-4} $$<1.00 \\times 10^{-6}$$ 7.00\\times 10^{-6} $$<1.00 \\times 10^{-6}$$ 7.00\\times 10^{-6} $
35 ~ 40$<1.00 \\times 10^{-6}$$8.24 \\times 10^{-5}$$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 6.61\\times 10^{-5} $$<1.00 \\times 10^{-6}$$ 7.63\\times 10^{-5} $$<1.00 \\times 10^{-6}$$ 7.73\\times 10^{-5} $$<1.00 \\times 10^{-6}$$ 2.00\\times 10^{-6} $$<1.00 \\times 10^{-6}$$ 2.00\\times 10^{-6} $
40 ~ 45$<1.00 \\times 10^{-6}$$ 4.07\\times 10^{-5} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 3.08\\times 10^{-5} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 3.64\\times 10^{-5} $$<1.00 \\times 10^{-6}$$ 3.82\\times 10^{-5} $$<1.00 \\times 10^{-6}$$ 1.00\\times 10^{-6} $$ <1.00\\times 10^{-6} $$ 1.00\\times 10^{-6} $
45 ~ 50$<1.00 \\times 10^{-6}$$ 2.09\\times 10^{-5} $$<1.00 \\times 10^{-6}$$ 1.49\\times 10^{-5} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 1.84\\times 10^{-5} $$<1.00 \\times 10^{-6}$$ 1.94\\times 10^{-5} $$<1.00 \\times 10^{-6}$$<1.00 \\times 10^{-6}$$<1.00 \\times 10^{-6}$$<1.00 \\times 10^{-6}$
50 ~ 70$<1.00 \\times 10^{-6}$$ 5.68\\times 10^{-6} $$ <1.00\\times 10^{-6} $$ 3.71\\times 10^{-6} $$ < 1 . 0 0 \\times 1 0 ^ { - 6 } $$ 4.90\\times 10^{-6} $$<1.00 \\times 10^{-6}$$ 5.20\\times 10^{-6} $$ <1.00\\times 10^{-6} $$<1.00 \\times 10^{-6}$$<1.00 \\times 10^{-6}$$<1.00 \\times 10^{-6}$
70 ~ 100$<1.00 \\times 10^{-6}$$ 2.78\\times 10^{-7} $$<1.00 \\times 10^{-6}$$ 1.79\\times 10^{-7} $$<1.00 \\times 10^{-6}$$2.24 \\times 10^{-7}$$<1.00 \\times 10^{-6}$$ 2.45\\times 10^{-7} $$<1.00 \\times 10^{-6}$$<1.00 \\times 10^{-6}$$<1.00 \\times 10^{-6}$$<1.00 \\times 10^{-6}$
"} {"image_path": "images/ca2f8da174c8628997df24a220284a3f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleAbbreviation$T_{\\text {onset }}$(℃)$T_{10}$(°C)$T_{20}$(°C)$T_{50}$(°C)$T_{max}$(°C)Char yield at 550(℃)Max.$$\\text{degradation rate}(\\%\\ \\text{min}^{-1})$$
Neat PMMAPMMA282.4294.2304.4326.2322.00.015.2
PMMA + I wt% silicaPMMA/SI280.3291.8303.9327.2319.41.714.7
PMMA $+5 \\mathrm{wt} \\%$ silica PMMA/S5284.0300.2312.0331.9324.56.217.7
PMMA $+10 \\mathrm{wt} \\%$ silica PMMA/S10286.9297.1308.8334.6335.016.216.1
PMMA $+\\mathrm{I} \\mathrm{wt} \\%$ modified silicaPMMA/MSI291.3302.6312.0328.8323.50.920.1
PMMA $+5 \\mathrm{wt} \\%$ modified silica PMMA/MS5291.4303.3314.3333.5324.56.318.3
PMMA $+10$ wt% modified silica PMMA/MSI0292.2305.2317.8345.1327.313.312.4
354.114.6
PMMA $+5 \\mathrm{wt} \\%$ TPPPMMA/TPP5156.1243.0296.1335.7201.70.01.7
356.111.3
PMMA $+5 \\mathrm{wt} \\%$ TPP $+5 \\mathrm{wt} \\%$PMMA/MS5/TPP5229.6292.0307.4339.7322.15.910.1
modified silica353.710.6
"} {"image_path": "images/4a5103c9b77490b8961a29015d5fac7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
insulin-treated
insulin antibody
binding<5%
Obesity,retinopa;
10F71175/1402147S3.0IHD; neuropath
12F26125/1202250S4.4Retinopathy
20F26134/1201041U3.5Retinopathy
21F58143/1401626U4.0Retinopathy;
neuropathy
32M38141/1401950S4.0Retinopathy;
neuropathy
48F35158/1352010S0.8NLD
Insulin antibody
binding ≥5%
11 M56156/1551520S5.0IHD; retinopathy;
neuropathy
24M21158/1551270U9.2NLD
27F54149/1402224U 29.8Retinopathy;
neuropathy
33M34145/1453238U 7.0Retinopathy
35M23140/14020.525U14.4Retinopathy;
hypopituitarism
(induced)
36M34136/140325S50.0-
22F46120/1204233HU11.7Retinopathy;
neuropathy; NLD
49F42111/1201028U8.0Neuropathy
"} {"image_path": "images/429b9c1a1cc69bbfb3914c5e1206b9c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
成本项目生产率 (吨)单位成本月末在产品成本完工产品成本
成本项目月初在产品本月生产费用费用合计完工产量在产品合计
数量完工程度约当产量
直接材料2 511 318.826 358 500.008 869 818.825 3001 000100%10006 3001 407.907751 407 907.757 461 911.08
直接人工427 137.312 202 824.002 629 961.3l5 3001 00050%5005 800453.44161226 720.812 403 240.53
制造费用2 080 642.9511 020 752.0013 101 394.955 3001 00050%5005 8002 258.861201 129 430.6011 971 964.36
合计5 019 099.08 19 582 076.0024 601 175.085 3001 0004 120.210562 764 059.1121 837 115.97
"} {"image_path": "images/88955f5e9a61a202103b250bb4db36d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StepSolutionDirection of flowStudied values
$Volume\\ (\\mu L)$$Flow\\ rate\\ (\\mu L/s)$
1Sodium hexametaphosphateReverse10,15,20,25,50,10015
2SampleReverse1,2,5,10,15,25,502, 5, 15
3Sodium hexametaphosphateReverse10,15,20,25,50,10015
4Holding coil contents + carrierForward701100
Note: The optimal values are highlighted in italic typeface.
"} {"image_path": "images/0bfc95f4202689ba1dc089def9ef6e1d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$5^{\\text{th}}$$W_1$-0.063-1.16001-0.083100.01041.881.821
$X_{3}$0.557.0121000.02430-0.02926.01214.571
$w_{3}$-0.117-2.08000-0.15210.024.423.23
$#_{4} \\chi_{4}$-0.00230.0810$1^{^\\text{.}}$0-0.00400.00680.4461.53
$R_{i}$12.41142.0440000.480-0.578119.976273.48
$6^{\\text{th}}$$W_{1}$-0.063$-1.16^{**}$001-0.083100.01041.881.821
$X_{3}$0.557.0121000.02430-0.02926.01214.571
$W_3^{**}$0.0563$1^{^\\text{.}}$0000.073-0.48-0.0096-2.125-1.553
$x^\\ast _{4}$-0.00230.081010-0.00400.00680.4461.53
$R_{i}$12.41142.0440000.480-0.578119.976273.48
$7^{\\text{th}}$$W_{1}$-0.00580001-0.0089-0.4880.00065-0.2790.243
$X_{3}$0.1550100-0.4883.3660.038720.9125.46
$#_{#}\\chi_{2}$0.0563$1^{^\\text{.}}$0000.073-0.48-0.0096-2.125-1.553
$x_{4}$-0.006900100.0730.0390.007080.6181.656
$R_{i}$4.2130000-9.8968.180.786421.82494.074
$8^{\\text{th}}$$W_1^{***}$$1^{*}(^{**})$000-172.411.5384.138-0.11248.10341.897
$x_{3}$0.1550100-0.4883.3660.038720.9125.46
$x_{2}$0.0563$1^{^\\text{.}}$0000.073-0.48-0.0096-2.125-1.553
$x_{4}$-0.006900100.0730.0390.007080.6181.656
$R_{i}$4.2130000-9.8968.180.786421.82494.074
$9^{\\text{th}}$$#_{#}\\chi_{1}$$1^{*}(^{**})$000-172.411.5384.138-0.11248.10341.897
$X_{3}$001026.724-0.725-9.6750.055513.4518.966
$X_{2}$01009.70690.0644-5.217-0.00334.833-3.912
$X_{4}$0000-1.1830.08350.6160.00630.9481.9434
$R_{i}$0000726.38-16.336-286.31.2579219.16317.562
"} {"image_path": "images/d172ea3213e0600fee4dbb002719178d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
线号禾 青HQ-10衍射仪法禾 青·HQ德 拜 法JCPDS ${ }^{[135]}$21-466衍射仪法
I$d_测$ $(\\overset{o}{\\text{A}})$$d_算$ $(\\overset{o}{\\text{A}})$I$d_测$ $(\\overset{o}{\\text{A}})$$d_算$ $(\\overset{o}{\\text{A}})$Id $(\\overset{o}{\\text{A}})$hkl
3.5203.503032
22403.50$\\overline{2}32$
23403.3843.37843.3803.363403.39042
24503.37$\\overline{2}42$
25<53.25052
26153.2243.20573.2003.202103.21$\\overline{2}52$
271003.1903.1601003.18260
28503.06062
29603.0563.03933.0503.036603.05$\\overline{2}62$
30402.9672.96412.9702.971402.985270
3152.919221
32402.8902.87332.8802.870402.893
33502.880$\\overline{2}72$
3452.859$\\overline{3}12$ 、231
35202.8052.79622.7902.764202.801280
2.7882.772132
36102.7802.771102.777192
2.771$\\overline{3}32$
37162.7252.71922.7102.710202.726082
2.7162.704142
38102.703$\\overline{3}42$
3962.6802.67852.680$\\overline{2}33$
2.673$\\overline{3}51$
40<52.659$0~\\underline{12}0$
4172.63052.637152、300
4252.620310、 $\\overline{3}52$
4362.594102.593320、260
44<52.572092
45<52.566$\\overline{2}92$
4642.548<52.548
4752.529
48<52.497
4952.483<52.483
5052.42452.424
5172.393102.397
5242.345<52.369
53<52.329
54252.243102.24102.242
55302.228302.228
56202.220
"} {"image_path": "images/3bf2a65eab92f3f78420b590e224d02c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
11/120.00.10.20.30.40.50.60.70.80.91.0
.053.0293.2743.5543.8764.253.000.000.000.000.000.000
.103.9824.2564.5624.9075.299.000.000.000.000.000.000
.154.6744.9575.2675.6105.993.000.000.000.000.000.000
.205.2375.5195.8236.1556.520.000.000.000.000.000.000
.255.7205.9956.2896.6056.948.000.000.000.000.000.000
.306.1486.4126.6926.9897.308.000.000.000.000.000.000
.356.5346.7857.0487.3267.620.000.000.000.000.000.000
.406.8877.1247.3697.6267.895.000.000.000.000.000.000
.457.2147.4357.6627.8978.141.000.000.000.000.000.000
.507.5207.7237.9318.1448.364.000.000.000.000.000.000
.557.8077.9928.1808.3718.567.000.000.000.000.000.000
.608.0798.2458.4128.5828.753.000.000.000.000.000.000
.658.3378.4848.6308.7788.926.000.000.000.000.000.000
.708.5838.7108.8368.9619.087.000.000.000.000.000.000
.758.8198.9259.0309.1349.238.000.000.000.000.000.000
.809.0459.1309.2149.2979.379.000.000.000.000.000.000
.859.2629.3269.3899.4519.512.000.000.000.000.000.000
.909.4719.5149.5569.5979.637.000.000.000.000.000.000
.959.6749.6959.7169.7379.756.000.000.000.000.000.000
1.009.8709.8709.8709.8709.870.000.000.000.000.000.000
"} {"image_path": "images/6b446c6d943baec9aa67a7fdc74c9a7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Concentrations in m./ ., 4 .
$[{H}^{+}]$=0.10[Acetone]=0.30
[acetone]$k^{\\prime}\\times10^{5}$$k^{\\prime}\\times10^{5}/$[acetone]$[{H}^+]\\:k^{\\prime}\\times10^{5}$$k^{\\prime}\\times10^{5}/$$[{H}^+]$
0.040.8320.80.042.4060
.102.0820.8.107.0470
.204.0020.0.2013.065
.307.0423.5.3020.067
.5012.525.0.5031.363
TABLE III
$P_{SEUDO-CONSTANTS}(1/M_{IN.}) _{IN} W_{ATER}-t-B_{UTANOL} M_{IX-TURES}$
[${H}^{+}$]=0.50, [acetone]=4.69,T 24.0, concentrations inm./l.
$[H_{2}{O}]$$k^{\\prime}\\times10^{3}$$k^{\\prime}\\times10^{3}\\times[H_{2}O]$
11.10.808.9
16.6.7411.9
22.2.6815.1
33.3.8321.0
"} {"image_path": "images/688238595b78b17a3f8d282b64c842e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
牛 号月份10111212345678
天数1930313128313031303131
1 号47.8604 598621585591611618 576596553
2 号22.218019157
3 号52.829184352322162
"} {"image_path": "images/85b2a17031d19037c1aa974aaaf6fdfd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n
12345678
STR14121571316119
CON109891415138
SIZ1210136148913
INT1614181414131714
POW1215151316131413
DEX141211111111108
HP nipper111011814121111
Attk%4530 504030503055
damage*1 D6+1 D41 D6 1 D6+1 D41 D6-1 D41 D6+1 D41 D61 D61 D6
"} {"image_path": "images/898f4172c04191256b035f0b5c3eff2b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Position1234F
4,4'-Difluorobiphenyl cation Exptl0.11710.0980-0.00280.15170.0408
$(0.1925)^{\\mathbf{a)}}$
Hückel0.11900.08000.02690.15140.0167
McLachlan$\\lambda= 1.2$0.12650.0905-0.01080.19750.0165
4,4'-Bitolyl cation ${ }^{7)}$Expti0.09390.01720.1945
"} {"image_path": "images/8cbf665a4b462dc014ba4293b8dce928.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
氯化铵氯化钴氯化镁
INIS: 1978-04-21; ETDE: 1975-12-16EN cobalt chloridesEN magnesium chlorides
EN ammonium chlorides氯化硅氯化锰
氯化钯EN silicon chloridesEN manganese chlorides
EN palladium chlorides氯化铪氯化钼
氯化钡EN hafnium chloridesEN molybdenum chlorides
EN barium chlorides氯化氦氯化镎
氯化铋EN helium chloridesEN neptunium chlorides
EN bismuth chlorides氯化合物氯化钠
氯化铂EN chlorine compoundsEN sodium chlorides
EN platinum chlorides氯化钬氯化氖
氯化钚EN holmium chloridesEN neon chlorides
EN plutonium chlorides氯化镓氯化铌
氯化氮EN gallium chloridesEN niobium chlorides
EN nitrogen chlorides氯化钾氯化镍
氯化锝EN potassium chloridesEN nickel chlorides
EN technetium chlorides氯化金氯化钕
氯化镝EN gold chloridesEN neodymium chlorides
EN dysprosium chlorides氯化锔氯化锫
氯化碲EN curium chloridesEN berkelium chlorides
EN tellurium chlorides氯化锎氯化硼
氯化碘EN californium chloridesEN boron chlorides
EN iodine chlorides氯化钪氯化铍
氯化铥EN scandium chloridesEN beryllium chlorides
EN thulium chlorides氯化氪氯化钋
氯化锇EN krypton chlorides1996-07-08
EN osmium chlorides氯化氪激光器EN polonium chlorides
氯化铒NIS: 2000-04-12; ETDE: 1984-08-20氯化钷
EN erbium chloridesEN krypton chloride lasersEN promethium chlorides
氯化钒氯化铼氯化镤
EN vanadium chloridesEN rhenium chloridesEN protactinium chlorides
氯化芳香烃氯化镧氯化镨
1991-10-01EN lanthanum chloridesEN praseodymium chlorides
EN chlorinated aromatic hydrocarbons氯化铑氯化铅
氯化钫EN rhodium chloridesEN lead chlorides
1996-07-18氯化镭氯化氢
1996-07-18 EN francium chlorides
氯化镄EN radium chlorides2012年8月之前用盐酸代表此概念
1996-07-18氯化锂EN hydrogen chlorides
EN fermium chloridesEN lithium chlorides氯化铷
氯化氟氯化钌EN rubidium chlorides
EN fluorine chloridesEN ruthenium chlorides氯化铯
氯化钆氯化磷EN cesium chlorides
EN gadolinium chloridesEN phosphorus chlorides氯化钐
氯化钙氯化硫EN samarium chlorides
EN calcium chloridesEN EN sulfur chlorides氯化砷
氯化锆氯化鑪EN arsenic chlorides
EN zirconium chlorides2004-03-15氯化铈
氯化镉EN rutherfordium chloridesEN cerium chlorides
EN cadmium chlorides氯化镥氯化锶
氯化铬EN lutetium chloridesEN strontium chlorides
EN chromium chlorides氯化铝氯化铊
氯化汞EN aluminium chloridesEN thallium chlorides
EN mercury chlorides氯化镅氯化钛
EN americium chloridesEN titanium chlorides
"} {"image_path": "images/12b186a51252b90249089ca8f1d527e1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DominanceshiftCalculatedt $\\Delta$ kInterval required (days) atnet growth differentials of:
0.6930.3470.2310.1730.099
0.0001$\\rightarrow 0.1$7.0110.120.230.340.570.8
0.001$\\rightarrow 0.1$4.606.613.219.926.646.5
0.01$\\rightarrow 0.1$2.403.56.910.413.824.2
0.1$\\rightarrow 0.3$1.352.03.95.87.813.6
0.1$\\rightarrow 0.5$2.203.26.39.512.722.2
0.1$\\rightarrow 0.7$3.044.48.913.217.630.7
0.1$\\rightarrow 0.9$4.396.312.719.025.444.4
0.1$\\rightarrow 0.99$6.799.819.629.439.268.6
0.1$\\rightarrow 1.00$$\\infty $$\\infty $$\\infty $$\\infty $$\\infty $$\\infty $
"} {"image_path": "images/f719e6be0d4af33cf9d2a50508f48c50.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2012年10月
18日FIFA13FIFA 13ワールドクラスサッカーEA SportsSPG4980日元
18日不可思议的迷宫 风来之西林4 加强版神之眼与恶魔之脐不思议のダンジョン风来のシレン4 Plus 神の眼と恶魔のヘソSpike ChunsoftRPG4620日元
18日纸盒战机Wタンポール战机WLevel-5RPG4800日元
18日薄樱鬼 游戏录贰 祭杂子与队士们薄樱鬼 游戏录贰 祭杂子 と队士达Idea FactoryAVG6090日元
25日偶像大师 闪亮音乐祭 甜蜜乐曲アイドルマスター-シャイニ-フェスタハニーサウンドNBGIMUG5980日元
25日偶像大师 闪亮音乐祭 跃动音符アイドルマスタ-シャイニ-フェスタファンキーノートNBGIMUG5980日元
25日偶像大师 闪亮音乐祭 诱人曲调アイドルマスタ-シャイニ-フェスタグルーヴィ-チューシNBGIMUG5980日元
25日快餐店之恋4 夏之记忆Piaキヤロツトへようこそ!!4~夏の记忆~GN SoftwareAVG6279日元
25日精神创伤的辐辏 阴影 IIトラウマの辐辏 TENEBRAE ⅡBoost OnAVG3969日元
25日这间活动室被不回家部占领了 携带版 学园狗耳篇この部室は归宅しない部が占据しました。ぽーたぶる学園ドッグ・イヤー編Boost OnAVG6090日元
"} {"image_path": "images/37f4c24f8046d18d561c9a7e64ff6275.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
[FeL(CO)][FeL(CO)-$(\\mathbf{C}_{5}\\mathbf{H}_{5}\\mathbf{N})]$[FeL(CO)-$(\\mathbf{N}_{2}\\mathbf{H}_{4})]$[FeL(CO)][FeL(CO)-$(\\mathbf{C}_{5}\\mathbf{H}_{5}\\mathbf{N})]$[FeL(CO)-$(\\mathbf{N}_{2}\\mathbf{H}_{4})]$
N1-Fe-N294.2 (1)95.8 (1)97.1 (2)C5-C4-C9119.5 (3)119.2 (2)117.9 (5)
N1-Fe-N361.3 (1)176.6 (1)173.2 (2)C4-C5-C6120.1 (3)121.1 (3)122.2 (5)
N1-Fe-N482.6 (1)84.4 (1)82.6 (2)C5-C6-C7120.8 (4)119.7 (3)119.9 (5)
N2-Fe-N382.6 (1)83.2 (1)83.7 (2)C6-C7-C8119.8 (3)120.6 (3)120.0 (5)
N2-Fe-N4164.0 (1)177.6 (1)173.7 (2)C7-C8-C9120.7 (3)120.7 (3)120.7 (5)
N3-Fe-N495.3 (1)96.5 (1)95.9 (2)C4-C9-N3113.5 (2)114.4 (2)114.9 (4)
N5-Fe-N188.7 (1)88.2 (2)C4-C9-C8118.9 (3)118.6 (3)119.1 (5)
N5-Fe-N289.9 (1)85.8 (2)N3-C9-C8127.1 (3)126.8 (3)125.7 (5)
N5-Fe-N388.0 (1)85.1 (2)N3-C10-C11121.9 (3)122.2 (2)122.5 (6)
N5-Fe-N487.8 (1)87.9 (2)N3-C10-C21122.2 (3)122.1 (3)123.7 (4)
C23-Fe-N198.2 (1)90.6 (1)92.2 (2)C11-C10-C21115.9 (3)115.6 (3)113.7 (5)
C23-Fe-N2100.0 (1)92.9 (1)93.5 (2)C10-C11-C12129.7 (3)130.8 (3)129.1 (5)
C23-Fe-N3100.5 (1)92.8 (1)94.5 (2)C11-C12-N4121.8 (3)121.9 (3)122.1 (5)
C23-Fe-N496.0 (1)89.5 (1)92.8 (2)C11-C12-C22115.4 (3)115.0 (3)115.2 (4)
C23-Fe-N5177.2 (1)179.2 (2)N4-C12-C22122.7 (3)123.0 (3)122.7 (4)
Fe-N1-C1125.0 (2)121.3 (2)121.4 (3)N4-C13-C14127.9 (2)126.2 (2)124.9 (5)
Fe-N1-C18109.9 (2)111.5 (2)110.1 (4)N4-C13-C18119.4 (3)124.7 (2)114.1 (5)
C1-N1-C18124.9 (2)126.8 (2)127.3 (5)C14-C13-C18119.3 (3)119.0 (2)120.5 (5)
Fe-N2-C3125.5 (2)121.3 (2)121.6 (3)C13-C14-C15119.7 (3)119.3 (3)118.7 (5)
Fe-N2-C4109.8 (2)112.3 (2)111.5 (4)C14-C15-C16120.7 (3)121.6 (3)120.7 (6)
C3-N2-C4124.6 (2)125.7 (2)126.8 (2)C15-C16-C17120.7 (4)120.5 (3)121.5 (6)
Fe-N3-C9110.6 (2)112.2 (2)111.1 (3)C16-C17-C18120.1 (2)121.2 (2)119.3 (5)
Fe-N3-C10124.5 (2)120.7 (2)122.6 (3)C13-C18-N1114.2 (3)115.2 (2)114.2 (5)
C9-N3-C10124.8 (2)126.8 (2)126.1 (4)C13-C18-C17119.5 (3)118.2 (2)119.4 (5)
Fe-N4-C12124.9 (2)121.3 (2)123.4 (4)N1-C18-C17125.9 (3)126.5 (2)125.8 (5)
Fe-N4-C13109.7 (2)111.7 (2)111.1 (3)Fe-C23-O177.2 (3)178.2 (3)177.6 (5)
C12-N4-C13125.3 (2)126.2 (2)125.2 (4)Fe-N5-N6121.3 (3)
N1-C1-C2121.8 (3)122.4 (2)123.1 (5)Fe-N5-C24120.5 (2)
N1-C1-C19122.0 (3)123.2 (2)121.1 (5)Fe-N5-C28122.4 (2)
C2-C1-C19116.0 (3)114.5 (2)115.7 (5)C24-N5-C28117.0 (2)
C1-C2-C3129.6 (3)130.6 (2)130.5 (5)N5-C24-C25123.5 (3)
C2-C3-N2121.4 (3)121.4 (2)122.4 (5)C24-C25-C26118.9 (3)
C2-C3-C20125.6 (3)125.2 (2)113.9 (5)C25-C26-C27118.7 (3)
N2-C3-C20112.9 (3)123.3 (2)123.7 (5)C26-C27-C28119.1 (3)
N2-C4-C5126.8 (3)126.0 (3)128.1 (5)C27-C28-N5122.9 (2)
N2-C4-C9113.4 (3)114.5 (3)113.8 (4)
"} {"image_path": "images/32052a0544813ef8621a5ff17cd94f30.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Delay (ns)Power (dB)
00
30-1.5
150-1.4
310-3.6
370-0.6
710-9.1
1090-7
1730-12
2510-16.9
Channel
models
Doppler
frequency
Antenna
correlation
Vehicular
speed
LTE-Extended vehicular300 Hz0.7162 km/hr
"} {"image_path": "images/a8c28cd82f03cf6a4125f9e5c13e7208.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n \n \n\n
PeriodIIIIVVVIOverall
Date in 20051 Jul-7 Jul8 Jul-15 Jul16 Jul-26 Aug27 Aug-13 Sep14Sep-3 Nov4 Nov-28 Nov
I, rainfall intensity
Totalmm86.268.084.0410.469.4117.4835.4
Max. (24-h)$mm\\ h^{-1}$2.42.31.78.80.74.18.8
Max. (3-h)7.47.44.316.83.18.916.8
Max. (1-h)15.613.89.219.88.012.019.8
Max. (30-min)29.619.614.825.614.414.029.6
Max.(10-min)68.438.422.851.628.825.268.4
KE, kinetic energy
Total$J\\ m^{-2}$1415.11116.41379.06737.51139.31927.413714.8
Max. (24-h)$J\\ m^{-2}\\ h^{-1}$39.338.428.2143.911.167.0143.9
Max. (3-h)121.5121.570.0275.851.4146.7275.8
Max. (1-h)256.1226.6151.0325.1131.3197.0325.1
Max. (30-min)485.9321.8243.0420.3236.4229.8485.9
Max. (10-min)1122.9630.4374.3847.1472.8413.71122.9
M,momentum
Total$kg\\ m\\ s^{-1}\\ m^{-2}$473.0373.1460.92251.9380.8644.24583.9
Max. (24-h)$kg\\ m\\ s^{-1}\\ m^{-2}\\ h^{-1}$13.112.89.448.13.722.448.1
Max. (3-h)40.640.623.492.217.249.092.2
Max. (1-h)85.675.750.5108.643.965.8108.6
Max. (30-min)162.481.2140.579.076.8162.4
Max.(30-min)162.4107.581.2140.579.076,8162.4
Max.(10-min)375.3210.7125.1283.1158.0138.3375.3
MD,momentum multiplied
by the drop diameter
Total$kg\\ m\\ s^{-1}\\ mm\\ m^{-2}$2386.11615.31951.110502.01303.62807.620565.8
Max.(24-h)$kg\\ m\\ s^{-1}\\ mm\\ m^{-2}\\ h^{-1}$63.158.141.7247.114.2102.0247.1
Max.(3-h)212.7211.7108.1526.782.0234.3526.7
Max.(1-h)635.4448.6263.9654.5243.3334.7654.5
Max.(30-min)1246.0683.0455.7977.0470.1432.01246.0
Max.(10-min)3197.51508.4765.42215.71037.3871.93197.5
Detachmentrate
Mean$g\\ m^{-2}$955.7546.6248.71034.1107.1322.33214.5
Standart deviation$g\\ m^{-2}$712.3375.7163.6682.177.7237.81436.9
"} {"image_path": "images/ff75047d4cf013d4d4f34eb7d93d74d8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$mse-format$$ixx-format$
YYMMDDhhmmss$r_R$$[10^{-3}\\ mm/s]$DD.MM.YYYY.hh.mm.ss$r_R$$[mm/\\varDelta t]$
8111224000.000001.01.1991 00:00:000.1
8111225000.000001.01.1991 00:05:000.1
811123000.167001.01.1991 00:10:000.1
8112443000.167001.01.1991 00:15:000.1
811244000.000001.01.1991 00:20:000.1
"} {"image_path": "images/962e037f967919cae296e3db2aea950c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
№п.п.КоличествовключенийМодульЮнга,МПаКоэф-фици-ентПуассо-наПредел прочности, МПаСцеп-ление, МПаУголвнутр.трения(град)
СжатиеРастя-жениеСхема Кармана
4 МПа8 МПа10 МПа
10148900,23155,48,562,770,874,111,0447,6
23,1%146000,2248,17,851,356,760,910,0747,6
36,2%127500,19938,56,646,449,954,88,2946,5
415,6%108700,17630,85,535.840,843,86,6745
531,2%82300,16322,44,527,330,233,85,3243,3
"} {"image_path": "images/28cf76247f77ea759fb6650b47e47213.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
民族地点样本量G6PD突变及其频率(%)
G1388AG1376TA95GC1024TG871AC592TC1360TC1004TG487AG392TC1311Tunknown
傣族云南8741. 4024. 145. 753. 454. 604. 6002. 303. 456. 903. 45
景颇族云南3129. 0329. 039. 686. 4500006. 456. 4512. 90
白族云南6642. 4221. 216. 061. 52003. 0309. 093. 039. 094. 55
彝族云南2343. 4821. 748. 70000004. 354. 358. 708. 70
哈尼族云南3633. 3327. 788. 338. 33000008. 338. 338. 33
基诺族云南4639. 1326. 0910. 87000004. 354. 354. 3510. 87
汉族云南4623. 918. 702. 178. 70NT2. 17NTNTNT2. 17NT52. 17
汉族柳州24932. 524. 518. 56. 022. 810NT0. 80NT0. 80NT11. 2
壮族柳州11732. 525. 619. 76. 843. 420. 85NT0. 85NT0NT9. 4
壮族广东37033. 5128. 1110. 001. 357. 840. 810005. 9511. 89
瑶族广西3426. 541. 214. 7NTNTNTNTNTNTNT2. 914. 07
汉族广东16820. 842. 817. 91. 8NTNTNTNT03. 6NT13. 1
客家人广东10230. 3925. 494. 900. 98000000. 984. 9032. 35
瑶族广东5437. 0427. 7811. 113. 70000001. 855. 5612. 96
汉族海南5923. 732. 26. 8NT5. 1NTNTNTNT5. 1NT22. 0
黎族海南3218. 856 .26. 3NT9. 4NTNTNTNT0NT9. 4
水族贵州9812. 224. 59. 2NTNTNTNTNTNTNTNT54. 1
苗族贵州28253. 621.428. 6NT0NTNT0NTNT21. 4
"} {"image_path": "images/5256da66e0bbf3039bdffcad70d4e920.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CoefficientMeanMin$q_1$Medianquartiles$q_3$Max N*%
Panel A: Shanghai stock exchange (N = 23)
$d_{-3}$-0.0026-0.0616-0.0223-0.00370.01450.079629
(-0.062)(-1.853)(-0.819)(-0.136)(0.465)(2.219)
$d_{-2}$0.0011-0.1296-0.01200.00510.02490.040800
(0.151)(-1.371)(-0.448)(0.218)(0.779)(1.188)
$d_{-1}$0.0266-0.06330.00370.01950.05230.1175626
(0.879)(-1.742)(0.113)(0.845)(1.295)(3.488)
$d_0$0.0546-0.03850.03440.05470.09880.12131565
(1.966)(-1.658)(1.163)(1.893)(3.161)(5.990)
$d_1$0.0078-0.0423-0.0185-0.00200.01720.165100
(0.087)(-1.255)(-0.616)(-0.096)(0.771)(1.423)
$d_2$0.0220-0.0517-0.00760.02380.03740.1042417
(0.792)(-0.718)(-0.303)(0.997)(1.328)(3.093)
$d_3$0.0068-0.0258-0.01180.00120.03070.080329
(0.241)(-1.067)(-0.306)(0.050)(0.730)(2.259)
$F_{\\mathrm{lag}}$0.98270.18850.45810.62411.46554.4855313
$F_{\\mathrm{lead}}$1.17800.28760.44320.66591.87194.7458835
Panel B: Shenzhen stock exchange (N = 16)
$d_{-3}$0.0543-0.03360.03380.06130.08160.1438744
(1.263)(-0.833)(0.454)(1.272)(1.937)(5.238)
$d_{-2}$0.0529-0.03830.01130.05990.08980.1398744
(1.189)(-0.881)(0.229)(1.181)(2.015)(4.058)
$d_{-1}$0.07122-0.09100.00360.07610.10850.3337850
(1.597)(-0.342)(0.109)(1.711)(2.372)(5.034)
$d_0$0.0772-0.03100.02840.05280.07600.3959531
(1.209)(-1.208)(0.605)(1.197)(1.702)(3.581)
$d_1$-0.0228-0.3025-0.03940.00100.02790.0665212
(-0.077)(-2.729)(-0.699)(0.025)(0.615)(2.575)
$d_2$0.0011-0.0968-0.03660.00690.04020.100200
(0.210)(-1.127)(-0.643)(0.181)(1.083)(1.523)
$d_3$-0.0225-0.2740-0.0336-0.0100.03500.0810319
(-0.035)(-2.906)(-0.802)(-0.229)(1.048)(1.757)
Panel B: Shenzhen stock exchange (N = 16)
$F_{\\mathrm{lag}}$ 1.28250.23030.47580.66371.53424.7377319
$F_{\\mathrm{lead}}$3.91920.14041.24732.64824.179823.12611169
"} {"image_path": "images/8e00c9dd7f619ed4bb0b4e06aefa47ea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
症 例年 龄161718192021
調查時期
病名
1中 O 進慢 性 扁 桃 腺 炎A
38
A
37
36A
36
32T
31
27
2住 O 美 O\"A
38
38A
31
3635T
35
27
3手 O 友 O\"3839A
38
35A
35
3834
4川 O 巧\"A
40
403734303226
5山 O 榮 O\"34A
34
35A
32
A
37
33A
33
25
6湯 O 一 O\"A
32
35A
32
T
29
272517
7手 O 武\"3636A
37
343333323235
8梨 O 正 O\"3232A
30
312932
9山 O 新 O\"3232T
31
2726A
26
23
10大 O 初 O\"29313928293228
11天 O 讓 O\"37A
33
3732313525
12高 O 孝 O\"26A
19
202323T
27
22
13松 O 武 O\"222422A
22
T
25
2328
14中 O 清慢性扁桃腺炎兼慢性鼻炎45474340384134
15美 O 藤 O\"36383632A
28
24
16天 O 平 O\"36A
34
3434323225
17岡 O 住 O慢 性 鼻 炎34A
36
3535312628
18古 O 春 O\"3930333335
19堀 O 哲 O扁 桃 腺 肥 大342422201717
20淀 O 照 O\"2924242326
21村 O 光 O疾 患 ナ シ2230A
28
A
29
292618
第 1 乃 至 第 18 例 ’ 體 質 指 數 平 均 值853331282929
"} {"image_path": "images/01e192ca5ccd6ee2b9739d7ff528a302.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ExperimentPrim. factorTot. air factorSwirl
1---
2 +--
3-+-
4++-
5--+
6+-+
7-++
8+++
900-
1000+
1100-
1200+
13-
"} {"image_path": "images/a7c76bc0c71e714e14caa02654784459.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nomenclature$T_{\\infty}$ambient temperature
Vvelocity vector
Cnanoparticle volume fractionu, vvelocity components along x- and y-axes
$C_f$skin-friction coefficientUuniform velocity of the free stream flow
$C_w$nanoparticle volume fraction at the plateU_wuniform velocity of the moving plate
$C_∞$ambient nanoparticle volume fractionx, yCartesian coordinates measured along the wall and
$D_B$Brownian diffusion coefficientnormal to it, respectively
$D_T$thermophoretic diffusion coefficient
fdimensionless stream functionGreek symbols
kthermal conductivity$\\alpha$thermal diffusivity
LeLewis number, defined by Eq. (18)φdimensionless nanoparticle volume fraction
NbBrownian motion parameter, defined by Eq. (18)ηsimilarity variable
Ntthermophoresis parameter, defined by Eq. (18)λplate velocity ratio
$Nu_x$local Nusselt numberμdynamic viscosity
PrPrandtl number, defined by Eq. (18)θdimensionless temperature
ppressure$ρ_f$fluid density
$q_w$plate heat fluxρ_pnanoparticle mass density
$q_m$plate mass flux(ρc)_fheat capacity of the fluid
$Re_x$local Reynolds number(ρC)_peffective heat capacity of the nanoparticle material
$Sh_x$local Sherwood numberτheat capacity ratio
ttimeνkinematic viscosity
Ttemperature$\\psi$stream function
$T_w$temperature at the plate
"} {"image_path": "images/be7fdd6ea83384d8bfa7d922c862ff61.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
试验序号泥浆流变性①间隙性水泥浆流变性$\\text{密度差}^{\\text{②}}$(磅/加仑)水泥排量(加仑/分)环空平均流速(英尺/分)水泥浆体 积(加仑)接触时间(分) 计算摩阻压降(每千英尺磅/英寸²)顶替效率(%)
$~\\mu\\text{pl}$(厘泊)$~~\\phi$(磅/100英尺²)$~\\mu\\text{pl}$(厘泊)$~~\\phi$(磅/100英尺²)
141361110002595975398.层流44
2354745260602259751655.层流55
35824283402595150.6067.层流60
458404942025959753974.层流60
542261186905201953994.层流60
6572389570259560.23103.层流62
774671010970259597539174.层流77
8243466240903409751157.紊流65
9452744230120455975893.紊流78
10564 21681060225150.2532.紊流66
1125402940903409751161.紊流81
1252181710-101204559758105.素流96
"} {"image_path": "images/4b3c2650388ea7a1594f07d44b1b3c58.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
dimensionless quantity无量纲量безразмернаяВеличица
~ unit无量纲单位~единица
diopter屈光度、折光度диоптрия
dipole偶极子диополь
directional spectral emissivity定向光谱发射率удельнаяспектразмиссия направленного
disintegration蜕变распад
~ constant蜕变常数постоянная распада
~ energy衰变能энергия распада
disjunction sign析取符号обозначение дисъюнкции
displacement电位移электрическоесмещение
~ vector of ion离子的位移矢量вектор смещение иона
dissipation coefficient耗散系数коэффициент диссипация
distance距离、路程дальность
distribution temperature:分布温度pacпределеннаятемпература
divergence散度дивергенция
donor施主донор
~ ionization energy施主电离能энергия ионизации донора
~ level施主能级уровень энергии донора
"} {"image_path": "images/3e09b29e80969e1aeae9a650a5027548.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n
BiosystemProcessCompounds$^2$$A-B_1\\quad$$\\beta$C1DnrSFRef.
S. ryphimurium TA100 rfa $^{+}$Mutagenicity5-NFA R-amides3 5 $0.638 \\pm 0.073$$(4.390 \\pm 1.027) \\times 10^{-1}$$6.027 \\pm 0.421$70.9880.12081.8460
S. ryphimurium TA100 rfa$^{-}$Mutagenicity5-NFA R-amides2 3 $0.650 \\pm 0.082$$(4.270 \\pm 1.135) \\times 10^{-1}$$5.221 \\pm 0.543$60.9740.08427.7360
C. vulgarisGrowthRNHCONHNH$_{2}$ 1 2 $0.983 \\pm 0.097$ $12.60\\pm 2.345$ $6.265 \\pm 0.567$140.9750.098105.961
S. aureusGrowthBzN$^+$((R)(CH3)$_{2}$ 2 3 $0.604 \\pm 0.052$$(1.370 \\pm 0.221) \\times 10^{-1}$$4.395 \\pm 0.324$120.9900.134221.637
C.albicansGrowthBzN$^+$((R)(CH3)$_{2}$ 1 2 $1.041 \\pm 0.874$$(4.396 \\pm 0.712) \\times 10^{-2}$$3.178 \\pm 0.146$110.9810.219102.337
S. typhosaGrowthBzN$^+$((R)(CH3)$_{2}$ 2 3 $0.405 \\pm 0.097$$(2.371 \\pm 0.286) \\times 10^{-1}$$4.328 \\pm 0.259$100.9540.23235.4437
M. tuberculosisGrowth2-OR-3-NH$_2$-Py2 3 $1.165 \\pm 0.186$$(1.043 \\pm 0.102) \\times 10^{-2}$$2.385 \\pm 0.128$70.9790.54946.1237
C. diphteriaeGrowthR-NH$_2$1 2 $0.915 \\pm 0.013$$(6.747 \\pm 1.112) \\times 10^{-7}$$-0.225 \\pm 0.051$150.9990.073299562
B. subtilisGrowthR-NH$_2$1 2 $0.813 \\pm 0.007$$(2.338 \\pm 0.210) \\times 10^{-6}$$0.071 \\pm 0.028$151.0000.041> 300062
S. faecalisGrowthR-NH$_2$1 2 $0.773 \\pm 0.009$$(5.209 \\pm 0.586) \\times 10^{-6}$$0.385 \\pm 0.035$150.9990.051299562
ErythrocytesHaemolysis$\\alpha$-monoglycerides1 2 $0.864 \\pm 0.067$$(2.768 \\pm 0.201) \\times 10^{-4}$$1.457 \\pm 0.083$80.9980.056623.142
ErythrocytesHaemolysis$^b$$\\alpha$-monoglycerides1 2 $1.054 \\pm 0.075$$(3.689 \\pm 0.231) \\times 10^{-4}$$1.079 \\pm 0.073$70.9970.096331.842
MiceNeurotoxicityn-alcohols1 2 $0.904 \\pm 0.075$$(1.759 \\pm 0.154) \\times 10^{-2}$$1.606 \\pm 0.095$100.9980.109872.442
"} {"image_path": "images/f29c182ff53a9be2e66fc4f5920bfd57.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号设备型号设备流量$\\left(\\mathrm{m}^{3} / \\mathrm{h}\\right)$供水压力(MPa)储水箱总容积$\\left(\\mathrm{m}^{3}\\right)$设备运行总功率(kW)立式多级水泵进、出水总管公称尺寸DN气压水罐容积(L)设备净重(kg)运行重量(kg)
水泵型号台数单泵流量$\\left(\\mathrm{m}^{3} / \\mathrm{h}\\right)$单泵扬程(m)单泵功率(kW)
1DXP-NQ-2DRL3-4-330.230.39DRL3-422~423~120.37501104633543
2DXP-NQ-2DRL3-7-30.30.57DRL3-740~220.55501104663546
3DXP-NQ-2DRL3-9-30.40.77DRL3-951~300.75501104723552
4DXP-NQ-2DRL3-11-30.51.12DRL3-1163~371.1501104783558
5DXP-NQ-2DRL3-13-30.61.12DRL3-1373~421.1501104803560
6DXP-NQ-2DRL3-15-30.71.12DRL3-1584~481.1501104823562
7DXP-NQ-2DRL3-17-30.81.52DRL3-1799~581.5501104963576
8DXP-NQ-2DRL3-19-30.91.52DRL3-19110~641.5501104983578
9DXP-NQ-2DRL3-21-31.02.22DRL3-21123~732.2501105003580
10DXP-NQ-2DRL4-3-450.240.57DRL4-323~626~160.55501104904570
11DXP-NQ-2DRL4-4-40.30.77DRL4-435~260.75501104904570
12DXP-NQ-2DRL4-6-40.41.12DRL4-653~391.1501105004580
13DXP-NQ-2DRL4-7-40.51.52DRL4-761~461.5501105004590
14DXP-NQ-2DRL4-8-40.61.52DRL4-870~521.5501105104590
15DXP-NQ-2DRL4-10-40.72.22DRL4-1079~592.2501105104590
16DXP-NQ-2DRL4-11-40.82.22DRL4-1196~722.2501105104590
17DXP-NQ-2DRL4-12-40.92.22DRL4-12105~782.2501105204600
18DXP-NQ-2DRL4-14-41.03.02DRL4-14123~723501105204600
"} {"image_path": "images/472fdc046ce2e0b81c2ca24e8776fe0a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
储存物品类别耐火等级最多允许层数最大允许占地面积($m_2$)库 房 的 地下室、半地下室、防火墙间
单层库房多层库房高层库房
每座库房防火墙间每座库房防火墙间每座库房防火墙间
$ \\begin{array}{r} 3 、 4 项 \\\\ 1 、 2 、 5 、 6 项 \\end{array} $ 一级
一、二级
1
1
180
750
60
250





1、3、4项一、二级
三级
3
1
2000
500
500
250
900
300


2、5、6项一、二级
三级
5
1
2800
900
700
300
1500
500



1项一、二级
三级
5
1
4000
1200
1000
400
2100
700


150
2项一、二级
三级
不限
3
6000
2100
1500
700
3000
1200
1000
400
2800
700
300
一、二级不限不限3000不限150040001000500
三级3300010001500500
四级12100700
一、二级不限不限不限不限200060001500100
三级3300010002100700
四级12100700
"} {"image_path": "images/45fdaa8088a3a506b59e4c719b106b37.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MouldType of food and raw products
Cereals Nuts FVeg Spic MEgg Fish Fats Chee BrPa LWAF PasF
Fiel Stor AciP AirS
P. italicum
P. nalgiovense
P. oxalicum
P. purpurogenum
P. roqueforti
P. smithii
P. solitum
P. thomii
P. variabile
P. verrucosum
P. viridicatum
Polypaecilum pisce
Rhizopus oryzae*
Rhizopus stolonifer*
Rhizopus spp.*
Scopulariopsis brevicaulis
S. candida
S. halophica
S. fusca
Scopulariopsis spp.
Talaromyces
bacillisporus**
T. macrosporus**
Xeromyces bisporus**
Wallemia sebi
"} {"image_path": "images/041d51c03ca5a60664b9e39956a8ea78.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工程名称X X 工程施工单位X X 建筑工程公司
序号项目安全和功能检查项目份数核查意见抽查结果核查 (抽查)人
1建筑与结构屋面淋水试验记录3试验记录齐全合格X X XX X X
2地下室防水效果检查记录6检查记录齐全
3有防水要求的地面蓄水试验记录19厕浴间防水记录齐全合格
4 建筑物垂直度、标高、全高测量记录4 记录符合测量规范要求合格
5抽气 (风) 道检查记录3检查记录齐全
6 幕墙及外窗气密性、水密性、耐风压检测报告1 “三性”试验报告符合要求
7建筑物沉降观测测量记录1符合要求
8节能、保温测试记录4保温测试记录符合要求
9室内环境检测报告5有害物指标满足要求
1给水排水与采暖给水管道通水试验记录20通水试验记录齐全合格X X XX X X
2暖气管道、散热器压力试验记录32压力试验记录齐全
3卫生器具满水试验记录27满水试验记录齐全合格
4消防管道、燃气管道压力试验记录33压力试验符合要求
5排水干管通球试验记录19试验记录齐全合格
1电气照明全负荷试验记录5符合要求合格X X XX X X
2大型灯具牢固性试验记录10试验记录符合要求合格
3避雷接地电阻测试记录3记录齐全符合要求合格
4线路、插座、开关接地检验记录30检验记录齐全
1通风与空调通风、空调系统试运行记录2符合要求
2风量、温度测试记录9有不同风量、温度记录合格
3洁净室洁净度测试记录5测试记录符合要求
4制冷机组试运行调试记录6机组运行调试正常
"} {"image_path": "images/7e5f678a20d84cf9b73775835f1bbd1b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n
Course Credits by Certification Field
MathematicsScience,Broad fieldBiology,Chemistry,PhysicsEarth ScienceGeneral ScienceTeaching Methods:Science/MathematicsSupervise Teaching Experience
Missouri3030202020Yes8
Montana30 qtr60 qtr30 qtr30 qtr30 qtrYes10 wks
Nebraska30452424-Yes320 hrs
Nevada1636161616No8
New Hampshire$\\underline{\\text{b}}$$\\underline{\\text{b}}$$\\underline{\\text{b}}$$\\underline{\\text{b}}$$\\underline{\\text{b}}$$\\underline{\\text{b}}$$\\underline{\\text{b}}$
New Jersey3030303030No$\\underline{\\text{c}}$
New Mexico2424242424Yes6
New York24-363636NoYes
North Carolina$\\underline{\\text{c}}$$\\underline{\\text{c}}$$\\underline{\\text{c}}$$\\underline{\\text{c}}$$\\underline{\\text{c}}$Yes6
North Dakota$\\underline{\\text{c}}$$\\underline{\\text{c}}$$\\underline{\\text{c}}$$\\underline{\\text{c}}$$\\underline{\\text{c}}$Yes8
Ohio3060303030Yes$\\underline{\\text{a}}$
Oklahoma4040404040No12 wks
Oregon2145454545Yes(M)15 qtr
Pennsylvania$\\underline{\\text{b}}$$\\underline{\\text{b}}$$\\underline{\\text{b}}$$\\underline{\\text{b}}$$\\underline{\\text{b}}$$\\underline{\\text{b}}$$\\underline{\\text{b}}$
Puerto Rico303030-30Yes $3(\\mathrm{S}) 5(\\mathrm{M})$
Rhode Island303030-30Yes6
South Carolina 243012-18Yes(M)6
South Dakota1821121218No6
Tennessee36 qtr48 qtr24 qtr24 qtr24 qtrYes4
Texas24482424-No6
Utah$\\underline{\\text{c}}$$\\underline{\\text{c}}$$\\underline{\\text{c}}$$\\underline{\\text{c}}$$\\underline{\\text{c}}$Yes12
Vermont1818181818YesNone
Virginia27-242430No6
Virgin Islands24NANANANANoYes
"} {"image_path": "images/6d5970c19f14f93c89810cfa98d59481.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
毕 业 生 数招 生 数在 校 学 生 数
%
总 计119 213184 958645 117100.00
地 质4 8297 47926 9924.18
矿 业3 1246 58224 2383.76
动 力5 3517 65026 2294.07
冶 金3 5815 57821 1233.27
机 械34 45246 712173 41226.88
电 机、电 器2 5534 41114 4532.24
无线电技术及电子学21 62034 908121 62818.85
化 工8 85614 12749 8217.72
粮 食 食 品2 2795 37515 3992.39
轻 工4 3216 12721 0423.26
测 绘 、水 文9931 9265 7150.89
土 木 建 筑18 04731 356102 77515.93
运 输2 8594 42915 5322.41
通 信2 1293 27011 0801.72
其 他3 2195 02815 6782.43
"} {"image_path": "images/e8fed054f3979b9ca0544e3db1e8e3e1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Warren SpahrBravesStarterActualActualRuns/162
YearTLGGSIPWLSVSOBBERAActualRA/9
1942BosNL42160007115.748.44(6.8)
1946BosNL241612685167362.943.2917.7
1947BosNL403529021103123842.332.7059.8
1948BosNL363525715121114773.714.0315.0
1949BosNL383830221140151863.073.7327.8
1950BosNL4139293211711911113.163.7825.3
1951BosNL3936311221401641092.983.2146.5
1952BosNL403529014193183732.983.3837.9
1953MilNL35322662373148702.102.5459.5
1954MilNL393428321123136863.143.4036.4
1955MilNL393224617141110653.263.6225.6
1956MilNL393528120113128522.782.9550.2
1957MilNL393527121113111782.693.1243.3
1958MilNL383629022111150763.073.2940.8
1959MilNL403629221150143702.963.2741.8
1960MilNL403326821102154743.503.8321.6
1961MilNL383426321130115643.023.2937.0
1962MilNL343426918140118553.043.2539.1
1963MilNL33332602370102492.602.9446.7
1964MilNL3825174613478525.295.69(21.9)
1965NYNL3630198716090564.014.74(4.0)
TotalsAverage/97506655,244363245292,5831,4343.093.46639.4
1.31.19.00.60.40.04.42.53.093.461.1
"} {"image_path": "images/0a82f32ff13e01f2c0b61e3406ebccec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AT奥地利15061506
B8比利時及盧森堡3 102117
CN中國內地65 300 7231 771 83213,832
D8丹麥92 973885
DE德國1829 737729
ES西班牙2 92542
F8法國7 190283
GB英國2772333 226695
I8意大利1 5349081 5542,769
JP日本14 452353141 3073,750
KR大韓民國232 7934,517950 41117,206
MY馬來西亞9263
N8挪威39 803490
NL荷蘭15954
SE瑞典52 8601,063
TR土耳其9 81211528 455585
TW台灣116 039843552 4805,963
U8美國13 54241211 0821,273
VN越南8201182011
總計 TOTAL454 7376,9363 950 99249,755
"} {"image_path": "images/c9fc38fdc4c7f3cc1f0d56edfe4e8d69.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目铁路公路电车道 (有轨及无轨)
导线或避雷线在跨越档内接头不得接头 高速公路, 一、二级公路不得接头不得接头
最小垂直距离(m)线路电压(kV)至轨顶至承力索或接触线至路面至路面至承力索或接触线
35 ~ 1107. 53. 07. 010. 03. 0
154 ~ 2208. 54. 08. 011. 04. 0
3309. 55. 09. 012. 05. 0
500 14. 0
16. 0(电气铁路)
6. 014. 016. 06. 5
最小水平距离(m)线路电压(kV)杆塔边缘至轨道中心杆塔边缘至路基边缘杆塔边缘至路基边缘
开阔地区路径受限制地区开阔地区路径受限制地区
35 ~ 220 交叉:30m
平行: 最高杆塔高加 3m
交叉: 8m
平行: 最高杆塔高
5.0
6.0
8.0 (15)
交叉: 8m平行: 最高杆塔高5. 0
6. 0
8. 0
330
500
邻档断线时的最小垂直距离(m)线路电压(kV)至轨顶至承力索或接触线至路面至承力索或接触线
35 ~ 1107. 02. 05. 02. 0
1546. 0
备注不宜在铁路出站信号机以内跨越 1.三、四级公路可不检验临档断线。
2.括号内为高速公路数值, 高速公路路基边缘是指公路下缘的排水沟
"} {"image_path": "images/7cb568759228539eb21e5e6efc441ae3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
General traffic(veh/h)Destination zoneRegular buses(veh/h)Destination zone
D-1D-2D-3D-4D-1D-2D-3D-4
Origin zoneO-1Group 136008466Origin zoneO-1Group 1300250
Group 231809980Group 2380230
Group 334809375Group 3340290
O-2Group 1030973100O-2Group 1039027
Group 203576287Group 2040022
Group 303246499Group 3034023
O-3Group 139812020O-3Group 1020250
Group 220912340Group 2015210
Group 3271002060Group 3014200
O-4Group 198230234O-4Group 1160024
Group 291340224Group 2150022
Group 387300230Group 3130025
"} {"image_path": "images/cb8c2f0a4438dcf7aec57c7d1576e58c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table V. Interaction of Methylcobalamin with $HgCl_2$ in Water at25.0 $℃^a$
$\\mathrm{pH}^{b}$$10^4[\\mathrm{HgCl}_2],\\mathrm{M}$$10^{3}k_{\\Psi},\\ \\mathrm{s}^{-1}$${k_{4}}^{\\mathrm{app}},\\ \\mathrm{M}^{-1}\\ \\mathrm{s}^{-1}$
2.005.000.451.00
10.00.92
16.71.61
25.02.52
36.74.01
50.05.68
2.505.00.902.00
10.01.94
16.73.01
25.04.71
36.77.20
50.010.30
2.9010.02.182.50
16.73.91
33.37.87
50.012.10
3.205.01.162.50
10.02.37
16.74.15
25.06.03
36.78.45
50.010.70
3.6010.03.203.80
16.75.72
33.311.90
50.018.20
4.005.01.603.90
10.03.85
16.76.79
25.010.20
36.714.70
50.021.00
4.505.02.313.90
10.03.85
20.07.88
25.09.90
30.011.60
35.013.30
40.014.70
50.018.70
4.8010.03.203.80
16.76.12
33.312.20
50.018.70
5.005.01.633.20
10.03.43
16.75.78
25.07.97
36.713.10
50.018.70
5.2010.03.104.10
16.76.04
33.312.60
50.019.80
5.5010.03.524.10
16.75.92
25.09.00
36.714.40
50.021.70
"} {"image_path": "images/f9eeccb88b5b544b407d40227016c854.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Notation$T$Temperature
$u, v$Velocity components in x- and y-direction
$a$Thermal diffusivity of fluid; long-side length ofcavity bottom surface$V$Average velocity
$W_B$Width of two-dimensional cavity
x, yCartesian coordinates
$A$AreaGreek symbols
$b$Short-side lengthof cavitybottom surface
$B$Width of slot-jet nozzle
$B_w$Thickness of jet nozzle wall$\\delta$Thickness
cHeight of cavity lateral wall$\\nu$Fluid viscosity
$D$Mass diffusion coefficient$\\rho$Density
$H$Distance from jet exit to cavity bottom surface$\\tau$Time duration
$H_B$Height of lateral wall of two-dimensional cavitySubscripts
$K$Mass transfer coefficient
$\\Delta M$Corrected mass loss of naphthalene during data runbBottom
$N$uNusselt numberiLocal
pPressurejJet exit
PrPrandtl numberlLateral
ReReynolds numbernNaphthalene
ScSchmidt numbersStagnation point
ShSherwood numberwWall
"} {"image_path": "images/8b6bba14f782a281bee4b9ac50204b69.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ReferenceEnzymeActionLocationMol wtCofactorKm $(\\mu \\mathrm{M})$InhibitorsComment
(j)\"ψ-Hydroxylation\"introduction of β-$hydroxyl^b$ to $C_{19}$$PGA_1$ substrate
Guinea pig liver ${ }^{4~2}$NADPHMicrosomal enzyme, possiblyP-450 ${ }^{105}$
(k)“ω-Hydroxylation”Introduction ofhydroxyl to $\\mathrm{C}_{20}$Guinea pig liver ${ }^{4~2}$NADPHMicrosomal enzyme, possiblyP-450 ${ }^{105}$
(l)Dinorprostaglandin-$\\Delta^{3}$-reductaseReduction of cisdouble bondFormation of metabolites 32and 36 (Table 5) suggests that this enzyme utilizes dinor-prostaglandins
(m)\"ω-HydroxyprostaglandindehydrogenaseOxidation of terminal hydroxyl to carboxylMust occur before $\\beta$-oxidation of the $\\omega$-chain; does not metabolize $PG_3$ substrates
(n)\" $\\beta$-Oxidase\"$\\beta$-Oxidation of $\\omega$-chainDoes not metabolize $PG_3$substrates
(o)$\\delta-$ LactonizationMight occur non-enzymaticallyduring metabolite isolation
(p)$\\gamma$-LactonizationMight occur non-enzymatically during metabolite isolation
(q)Prostaglandin E-ketoreductaseReduction of keto to$\\beta$-hydroxylGuinea pig kidney extracts are incapable of reducing the 9-keto function of $PGE_2$ .$^{102}$Possibly dihydroketo-$PGE_2$ isused as a substrate. Theoxidation of dinor-$PGE_{1~β}$(metabolite 33, Table 5)indicates that “ $\\beta$-oxidase\" willaccept substrates with a9$\\beta$-hydroxyl
(r)\"Prostaglandin-8-epimerase\"Isomerization of $\\alpha$-chain to $\\beta$-chainSee metabolites 1 and 26(Table 5)
(s)Loss of $\\alpha$-HydroxylPresumably occurs viadehydration, see metabolite 41(Table 5)
"} {"image_path": "images/593ac4f80851e01f66771016d2b74e36.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
各国
中国
世界
园艺作物工厂化育苗 S604.3园艺作物突变育种法S603.52
园艺作物机械化栽培S604.7园艺作物无土栽培S604.7
园艺作物基因资源S602.4园艺作物细胞学 S601.5
园艺作物及其栽培技术S6①园艺作物选择育种
园艺作物技术推广宜入S603#50[S603.1]
参见S-057S6-33园艺作物选择育种法S603.50
园艺作物假植S604.4园艺作物移植S604.4
园艺作物嫁接苗S604.3园艺作物遗传育种S603.2
园艺作物间作S604.6园艺作物遗传资源S602.4
园艺作物建园S604.5园艺作物遗传资源目录S602.9
园艺作物经济F307.13园艺作物引变育种法S603.52
园艺作物经济F33/317②⑨61园艺作物引种及驯化S602.2
园艺作物经济F326.13园艺作物优良品质育种S603.3
园艺作物经济F316.13园艺作物诱变育种法S603.52
园艺作物抗病育种S603.4园艺作物育苗S604.3
园艺作物抗虫育种S603.4园艺作物育种的原始材料S602
园艺作物抗寒育种S603.4园艺作物育种方法 S603.5
园艺作物抗旱育种S603.4园艺作物育种技术S603.5
园艺作物抗涝育种S603.4园艺作物杂交育种法S603.51
园艺作物抗逆品种育种S603.4园艺作物栽植S604
园艺作物抗热育种S603.4园艺作物植物学特征S601.1
园艺作物抗性S601.1园艺作物制种S603.82
园艺作物离体繁殖育苗S604.3园艺作物种质资源S602.4
园艺作物连作S604.6园艺作物种质资源保存S602.42
园艺作物良种繁育S603.8园艺作物种质资源调查S602.41
园艺作物良种母本园S603.83园艺作物种质资源目录S602.9
园艺作物留种S603.82园艺作物种质资源收集S602.41
园艺作物轮作S604.6园艺作物种子处理S604.1
园艺作物农作制度S604.6园艺作物种子催芽S604.1
园艺作物品种鉴定S603.7园艺作物种子肥育S604.1
园艺作物品种目录S602.9②③园艺作物种子加工
园艺作物品种试验S603.7宜入S603.87[S603.205]
园艺作物品种与品种资源S602园艺作物种子检验
园艺作物品种与种质资源S602宜入S603.87[S603.206]
园艺作物品种志S602.9②③园艺作物种子检疫
园艺作物品种资源S602.4宜入S41-31[S603.204]
园艺作物品种资源目录S602.9园艺作物种子生理生化S603.201
园艺作物起源与演变S602.1园艺作物种子生态S603.203
园艺作物群体生物学S601.4园艺作物种子学S603.20
园艺作物容器育苗S604.3园艺作物种子贮藏
园艺作物生产机械化S233.74宜入S603.87[S603.207]
园艺作物生理生化S601.2园艺作物自根苗S604.3
园艺作物生态学S601.4园艺作物综合育种法S603.54
园艺作物生物物理学S601.3拖拉机原材料S219.04
园艺作物生物学原理S601原虫病884.2
园艺作物实生苗S604.3原虫病 (鱼病)S941.51
园艺作物授粉品种S604.5兽医原虫学S852.72
园艺作物熟性育种 S603.209.3贮木场及原木保护及管理S782.3
园艺作物熟制S604.6原木材积测定S758.3
园艺作物套作S604.6园艺作物育种的 原始材料S602
园艺作物特种栽培技术S604.7作物育种原始材料S32
园艺作物田间化学除草S451.24原始耕作制S344-09
"} {"image_path": "images/a628f207b0efbd61227a20e8ce922ca2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
torsional angle 1a2a torsional angle1a2a
$\\text{P1—S(Se)1—S(Se)2—P2}$89.7118.7
$\\text{S(Se)2—S(Se)1—P1—S3(S1)}$-81.561.0$ \\mathrm{S}(\\mathrm{Se}) 1-\\mathrm{S}(\\mathrm{Se}) 2-\\mathrm{P} 2-\\mathrm{Se}(\\mathrm{S} 2) $46.458.7
$\\text{S(Se)2—S(Se)1—P1—O1}$157.1-66.2$\\text{S(Se)1—S(Se)2—P2—O3}$-80.9-67.8
$\\text{S(Se)2—S(Se)1—P1—O2}$46.3-177.3$\\text{S(Se)1—S(Se)2—P2—O4}$169.2-178.7
$\\text{S(Se)1—P1—O1—C1}$-73.9-69.3$\\text{S(Se)2—P2—O3—C6}$-61.0-66.5
$\\text{S(Se)1—P1—O2—C3}$65.875.4$\\text{S(Se)2—P2—O4—C8}$72.571.9
$\\text{S3(S1)1—P1—O1—C1}$162.8162.9$\\text{S4(S2)—P2—O3—C6}$169.8165.8
$\\text{S3(S1)1—P1—O2—C2}$-165.1-161.3$\\text{S4(S2)—P2—O4—C8}$-163.8-164.6
O1-P1-O2-C3-39.1-35.7O3-P2-O4-C8-38.5-39.7
P1-O2-C3-C252.849.1P2-O4-C8-C749.352.7
O2-C3-C2-C1 -58.7-59.7O4-C8-C7-C6-57.9-59.9
C3-C2-C1-O1 57.563.1C8-C7-C6-O361.459.9
C2-C1-O1-P1 -49.5-54.8C7-C6-O3-P2-57.6-53.6
C1-O1-P1-O236.638.0C6-O3-P2-O443.040.4
O1-C1-C2-C4174.1177.9O3-C6-C7-C9176.6175.4
O1-C1-C2-C5 -65.0-60.6O3-C6-C7-C10-60.5-63.3
O2-C3-C2-C4 -175.9-174.5O4-C8-C7-C4-174.1-174.9
C2-C3-C2-C564.263.6O4-C8-C7-C564.163.9
"} {"image_path": "images/74f71cddac293dea90db107b0f6b4860.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
生长年限(年)干燥温度$\\left({ }^{\\circ} \\mathrm{C}\\right)$多糖含量( % )总三萜含量( % )槲皮素含量( % )山柰素含量( % )
325 ( 阴干 )2.560.190.270.21
603.200.330.290.33
703.360.370.210.29
804.100.450.280.37
903.680.440.190.28
1001.940.370.270.21
425 ( 阴干 )2.520.240.150.27
603.320.300.100.21
704.420.310.160.31
804.680.300.170.33
903.430.320.140.26
1003.390.230.130.24
525 ( 阴干 )4.040.220.200.35
603.190.270.250.31
704.510.230.230.34
805.320.340.230.42
904.250.210.180.30
1001.550.180.130.09
625 ( 阴干 )2.690.340.060.14
602.330.390.090.20
703.220.480.100.22
805.390.550.100.25
903.860.430.070.19
1003.550.320.030.13
725 ( 阴干 )2.870.270.170.17
602.370.320.110.20
704.180.270.160.27
805.490.410.210.34
902.430.260.170.03
1002.000.250.040.14
825 ( 阴干 )4.410.220.180.20
604.140.210.180.23
704.350.200.260.26
805.480.200.230.30
903.430.210.120.30
1003.090.220.180.20
925 ( 阴干 )2.330.320.020.07
602.890.310.050.10
702.930.470.080.09
803.190.480.060.12
901.460.330.020.07
1001.430.310.000.02
1025 ( 阴干 )3.460.210.100.16
603.110.260.140.19
704.210.260.130.18
804.560.260.180.23
903.470.270.040.06
1003.970.270.070.11
11

万方数据
25 ( 阴干 )2.250.500.120.14
602.950.420.150.17
702.070.630.160.18
"} {"image_path": "images/dffda731b9e49685027f977cdad7bed7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cooling and heatingconsumption ratioInitial soiltemp℃Average soil tempwithin 20 years℃Temp rise within20 years°CVariation of unit's COP valuewithin 20 yearsFirst time ofsystem outageYear
SummerWinter
0.33:110.35.2-5.14.1-4.623.18-3.1314
0.5:15.9-4.44.07-4.513.2-3.15-
0.67:16.5-3.83.98-4.343.32-3.18-
1:17.1-3.23.90-4.183.27-3.12-
2:18.3-2.04.57-4.683.26-3.18-
3:1110.75.23-5.03.28-3.32-
4:114.74.45.28-4.83.3-3.51-
5:115.65.35.0-4.653.22-3.6-
6:117.87.54.95-4.643.37-3.6-
7:1184814.95-4.593.36-3.6215
"} {"image_path": "images/fac5b45399a7f7b831f7c4eb5e3dedc0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
요일욜학 사 내 용
81234568. 4 (목) ~ 8.10(수)
8. 4(목) ~ 9. 23(금)
8. 8(월) ~ 8. 19 (금)
8. 15 (월) ~ 8. 19 (금)
8. 22 (월) ~ 8. 26 (금)
제2학기 복학신청
제2학기 휴학신청
제2학기 수강신청
제입학 원서접수
제2학기 등록
78910111213
14151617181920
21222324252627
28293031
91239. 1(목)
9. 1(목) ~ 9. 7(수)
9. 29(목) ~ 10. 5(수)
제2학기 개강
수강신청 정정
수강과목 취소
45678910
11121314151617
18192021222324
252627282930
10110. 11(화)
10. 17(월) ~ 10. 21(금)
개교 87 주년 기념일
제2학기 중간시험
2345678
9101112131415
16171819202122
23242526272829
3031
111234511. 21(월) ~ 11. 25(금)
11. 28(월) ~ 11. 7(수)
졸업논문 제출
부전공, 복수전공, 연계전공 신청
6789101112
13141516171819
20212223242526
27282930
1212312. 12(월) ~ 12. 16(금)
12. 19(월) ~ 2006. 1. 13(금)
제2학기 기말시험
동계 계절학기(4주간)
45678910
11121314151617
18192021222324
25262728293031
06.112345672006. 1. 9(월) ~ 1. 11(수)2006학년도 전과(부) 원서접수
891011121314
15161718192021
22232425262728
293031
212342. 1(수) ~ 2. 7(화)
2. 1(수) ~ 3. 24(금)
2. 6(월) ~ 2. 17(금)
2. 17(금)
2. 13(월) ~ 2. 17(금)
2. 20(월) ~ 2. 24(금)
제2학기 복학신청
제2학기 휴학신청
제2학기 수강신청
2005학년도 학위수여식
재입학 원서접수
제2학기 등록
567891011
12131415161718
19202122232425
262728
"} {"image_path": "images/0fb39b897468da23682ccd47fc9e9554.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
五四四五四三五四二五四一五四〇五三九五三八五三七 五三六
白 ︵
地 雜
藍 欵
花 ︶




白 ︵
地 雜
青 欵
花 ︶


黄 ︵
磁 嘉
小 慶
碟 欵
  ︶
綠 ︵
地 雜
紫 欵
龍 ︶


地 ︵
五 宣
彩 統
萬 欵
壽 ︶





地 ︵
綠 雜
龍 欵
小 ︶
黄 ︵
磁 雍
碗 正
大 欵
小 ︶
綠 ︵
豆 雜
中 欵
碗 ︶
霧 ︵
紅 雜
中 欵
碗 ︶
"} {"image_path": "images/556297482e4b97e00526e6ecad379307.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类 别物 质 名 称含 汞 量
克 拉 克 值
(微克/公斤)
(弗尔斯曼,1933-1939)
(维诺格拉多夫,1962)
(萨乌科夫)
(泰勒,1964)
50
83
77
80
火 成 岩
(微克/公斤)
超基性岩类
玄武岩类
花岗岩类
正长石
x·10
90
80
x·10
沉 积 岩
(微克/公斤)
砂 岩
页 岩
油 页 岩
粘土岩和页岩
灰岩和白云岩
30-100
150-400
100
400
30-33
现代水体沉积物
(微克/公斤)
深海沉积物,碳 质
粘土质
黑海现代腐泥质沉积
淡水沉积物
海洋沉积物
x·10
x·100
1000-25000
73
100
土 壤
(微克/公斤)
土 壤
砂 土
森林土壤
栽培土壤
粘土质土壤
10-50
1-29
100-290
30-140
30-70
生 物
(微克/公斤)
植 物
植 物 灰
大陆生物
海洋生物
x·10-x·100
1
500
120
天 然 水
(微克/升)
淡 水
雨 水
海 水
海 水(ppb)
油 田 水(ppb)
0.01-0.1
0.2
0.003
0.03-5.0
0.1-230

(微克/公斤)
美国36种煤含汞量范围
含汞平均值
美国西弗吉利亚38块煤样平均值
苏联各种煤的含汞量范围
70-33000
>1000
130000
20-300000
石 油
(微克/公斤)
苏联不同成因石油含汞平均值
美国加利福利亚测定值
世界原油的平均含汞量
170
1900-2100
1000
"} {"image_path": "images/c88575ce483d1c1804ad7213e6bd9e88.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Hole end leakage saturation current(A)$I_{\\mathrm{rp0} }$$(1 \\times 10^{-11})$PiNdiode parametersNPTIGBT parameters
Electron end leakage saturation current(A)$I_{\\text {In0 }}$ $1\\times 10^{-12}$
Base region doping density $\\left(\\mathrm{cm}^{-3}\\right)$$N_d$$ 1 \\times 10^{14} $PTIGBT parameters
Ambipolar lifetime(s)$\\tau $ $ 1 \\times 10^{-6} $
Junction built in potential(V)$V_{bi}$1
Gaussian peak doping density $\\left(\\mathrm{cm}^{-3}\\right)$$N_p$$ 1\\times 10^{20} $
Doping spreading factor (cm)$\\sigma $$ 5\\times 10^{-5} $
Total bipolar active area $\\left(\\mathrm{cm}^{2}\\right)$A $1\\times 10^{-2}$
Base region width (cm)W$1 \\times 10^{-2}$
Threshold voltage(V)$ V_{\\mathrm{TH}} $5MOSFET parameters
Transconductance in the linear region $\\left(\\mathrm{A} / \\mathrm{V}^{2}\\right)$$K_{\\mathrm{p}, \\text { lin }}$0.61
Transconductance in the saturation region $\\left(\\mathrm{A} / \\mathrm{V}^{2}\\right)$ $K_{\\mathrm{p},\\mathrm{sat}}$ 0.36
Breakdown voltage multiplication constantB$V_f$1
Breakdown voltage indexB$V_n$4
Channel length modulation parameter $\\left(\\mathrm{V}^{-1}\\right)$λ0
Total gate-source oxide capacitance(nF)$C_{GS}$0.6
Total MOSFET active area $\\left(\\mathrm{cm}^{2}\\right)$$A_{MOS}$$ 1 \\times 10^{-2} $
Gate-drain overlap area threshold voltage(V)$V_{TD}$0
Total gate-drain overlap oxide capacitance(nF)$C_{oxd}$1.6
Transverse field factor $\\left(\\mathrm{V}^{-1}\\right)$$\\theta$0.02
Bufer layer doping density $\\left(\\mathrm{cm}^{-3}\\right)$$N_b$$1\\times10^{18}$
Buffer layer width (cm)$w_b$$1\\times10^{-4}$
Hole lifetime inside the buffer layer (s)$\\tau_{\\mathfrak{p}}$2.5 x $10^{-8}$
Emitter efficiency$n_f$0.7
"} {"image_path": "images/9724e5a6434f5586e07aee44cc41d828.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
操作过程3L桶里水的体积/L5L桶里水的体积/L
→ 小
→ 小
大 →
→ 小
4
"} {"image_path": "images/57be9a9a0a35f7303d23959be450d191.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DesignOutputTemperature at K
123456789101112131415
FeynmanAB3.484
3.384
3.481
3.381
3.478
3.378
3.470
3.372
3.461
3.367
3.461
3.361
3.454
3.357
3.454
3.354
3.448
3.354
3.446
3.348
3.443
3.343
3.180
3.220
3.104
3.110
3.006
3.012
2.960
2.940
DoubleFeynmanABC3.516
3.510
3.510
3.503
3.509
3.507
3.499
3.505
3.507
3.498
3.499
3.505
3.493
3.492
3.500
3.484
3.475
3.494
3.466
3.438
3.470
3.447
3.400
3.440
3.384
3.384
3.400
3.310
3.330
3.380
3.239
3.245
3.349
3.153
3.160
3.148
3.112
3.114
3.098
3.089
3.065
3.069
3.061
3.017
3.011
FredkinABC3.506
3.506
3.523
3.500
3.500
3.517
3.500
3.498
3.511
3.487
3.487
3.498
3.481
3.478
3.487
3.472
3.470
3.476
3.464
3.450
3.464
3.443
3.332
3.440
3.443
3.324
3.448
3.412
3.307
3.430
3.339
3.295
3.418
3.174
3.149

3.271
3.110
3.108
3.199
3.054
3.078
3.108
3.011
3.048
3.058
"} {"image_path": "images/716801249a0b54a986910fe2aea2451c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
UnitCom-mitted$ \\begin{array}{l}E_{G t} \\\\ \\text { by Eq. (12) } \\\\ \\end{array} $$ \\begin{array}{c}\\text { E }_{D i} \\\\ \\text { by Eq. (13) }\\end{array} $EEF (by Eq. (8) )
J = 123456
0014654804603711522$E^{(0)}(J)$
1(480 + 460)$\\times0.9=846$1465-846=6190414 480381.9 460182.837138.9 15215.2$ \\begin{array}{l}E^{(0)}(J-2)\\\\ E^{(1)}(J)\\end{array} $
2$ \\begin{align*}(381.9+182.8)\\\\ \\times 0.9=508.23\\end{align*} $$ \\begin{array}{l}\\\\ 619-508.23\\\\ =110.77\\end{array} $ 414205.92381.973.20182.831.96$ \\begin{array}{c}E^{(1)}(J-2)\\\\ E^{(2)}(J)\\end{array} $
3$ \\begin{array}{r}73.2\\times 0.8\\\\ =58.56\\end{array} $110.77-58.56=52.21205.9299.74473.2040.208$ \\begin{array}{l}E^{(2)}(J-1) \\\\ E^{(3)}(J)\\end{array} $
"} {"image_path": "images/92e28a00e018b60b5f94fa9ebcba122d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
外径/mm质量/(lb/ft)壁厚/mm75-80-85钢级91—95—100钢级105-110-115钢级120-125-130钢级135-140钢级145-150-155钢级
最小最佳最大最小最佳最大最小最佳最大最小最佳最大最小最佳最大最小最佳最大
60.324.604.83200022002410226025002750253028003090282032003520316035003850335037004070
5.105.54200022002410235026002850262029003200288032003520316035003850343038004180
5.806.45208023002520244027002960271030003290300033003630324036003960352039004290
73.026.405.51300033003630352039004290397044004830441049005380487054005950523058006390
7.707.01316035003850361040004390415046005070461051005610505056006160541060006600
8.607.82352039004290406045004940469052005720523058006390569063006930613068007490
9.809.19406045004940469052005720533059006490595066007250649072007930703078008580
88.97.705.49338043004730451050005510505056006160569063006930613068007490659073008030
9.206.45406045004940469052005720533059006490595066007250641071007820685076008370
10.207.34461051005610533059006490605067007380675075008250739082009020794088009690
12.709.53533059006490613068007490695077008470785087009560847094001035090101000011000
13.7010.4962306900758072208000880082109100100109470105001154010340115001264108401200013240
14.7011.4073108100891081109000991094701050011540103401150012640112801250013700121501350014840
15.8012.0973908200902081109000991094701050011540103401150012640112801250013700121501350014840
101.69.505.744970550060505770640070406490720079307220800088007850870095638470940010350
10.906.655130570062705950660072506750750082507470830091308110900099108750970010680
"} {"image_path": "images/012f8b06817b35aab5756978949bc180.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
$T_1$$T_2$$T_1/T_2$Conditions
T
T
T$\\neg T$$true$
$false$
T$x=c$$T[x\\leftarrow c]$
$x=c$$ \\begin{array}{r} { x\\& c_{1}=c_{2}}\\end{array} $$\\begin{array}{c}x\\&\\overline{c_{1}}=c\\&\\overline{c_{1}}\\\\ \\text { $false$}\\end{array}$$\\begin{aligned} & c \\& c_1=c_2\\\\ & c \\& c_1 \\neq c_2\\end{aligned}$
$x=c$$ x\\& c_{1}\\neq c_{2} $$false$c\\& $c_{1}=c_{2}$
$x=c$$x \\in\\left[c_{1}, c_{2}\\right]$$false$$ c\\notin[c_{1},c_{2}] $
$x≠c$$ x\\& c_1=c_2 $$\\begin{gathered}x \\& \\overline{c_1} \\neq c \\& \\overline{c_1}\\\\ \\text { $true$ }\\end{gathered}$$\\begin{aligned} & c \\& c_1=c_2\\\\ & c \\& c_1 \\neq c_2\\end{aligned}$
$x≠c$$x \\& c_{1} \\neq c_{2}$$true$$c \\& c_1=c_2$
$x≠c$$x \\in\\left[c_{1}, c_{2}\\right]$$true$$(c < c_1 )$$\\vee$$(c > c_2)$
$x \\in\\left[c_{1}, c_{2}\\right]$$x \\in\\left[c_{3}, c_{4}\\right]$$true$$\\begin{aligned} & c_1 \\leq c_3\\\\ & \\leq c_4 \\leq c_2\\end{aligned}$
$x \\in\\left[-\\infty, c_2\\right]$$\\begin{aligned} & c_1 \\leq c_3\\\\ & \\leq c_2 \\leq c_4\\end{aligned}$
$x \\in\\left[c_1, \\infty\\right]$$\\begin{aligned} & c_3 \\leq c_1\\\\ & \\leq c_4 \\leq c_2\\end{aligned}$
$x \\in\\left[c_{1}, c_{2}\\right]$$\\begin{aligned} & c_3 \\leq c_1\\\\ & \\leq c_2 \\leq c_4\\end{aligned}$
$false$$(c_2 < c_3 )$$\\vee$$(c_4 < c_1)$
$x \\in\\left[c_{1}, c_{2}\\right]$$x \\& c_3=c_4$$false$$c_4>c_2$
$x \\& c_1=c_2$$x \\& c_3=c_4$$\\begin{gathered}x \\&\\left(c_1 \\& \\overline{c_3}\\right)\\\\ =\\left(c_2 \\& \\overline{c_3}\\right) \\\\ \\text { $false$ }\\end{gathered}$$\\begin{gathered}c_2 \\& c_3\\\\ =c_1 \\& c_4\\\\ \\text { otherwise }\\end{gathered}$
$x \\& c_1=c_2$$x \\in\\left[c_{3}, c_{4}\\right]$$false$$c_2>c_4$
$x \\& c_1 \\neq c_2$$x \\& c_3=c_4$$\\begin{gathered}x \\&\\left(c_1 \\& \\overline{c_3}\\right)\\\\ \\neq\\left(c_2 \\& \\overline{c_3}\\right)\\\\ \\text { $true$ }\\end{gathered}$$\\begin{gathered}c_2 \\& c_3\\\\ =c_1 \\& c_4\\\\ \\text { otherwise }\\end{gathered}$
$x \\& c_1 \\neq c_2$$x \\in\\left[c_{3}, c_{4}\\right]$$true$$c_2>c_4$
T$T^{\\prime}$T
"} {"image_path": "images/d824b9553a088236f70665a623b06dcb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "Within patch
LENGRATIOWID 25WID 50WID 75WIBASGREEN-BASMARGTOPCIR-CUMAREASEP-SIDEPISTIL-LENGSTYLE-LENGSTIGMA-LENG
Selfed
mean1.25 a1.47 a0.43 a0.70a0.88 a$0.85 \\mathrm{ab}$0.63 a0.14a5.80 a4.06a0.79a3.20 a0.67a0.563 a$0.102 \\mathrm{a}$
N858858858858858858858858858858858858822822822
SE0.00420.00640.00160.00230.00250.00270.00190.00080.04880.01030.0040.0090.006§0.0067§0.0066§
Var0.01540.03550.00230.0040.00540.00610.00320.00062.04680.09090.01390.06990.0296§0.0372§0.036§
mean1.25 a1.46 a0.46 a0.70a0.89 a0.86 a0.63 a0.15a6.00a4.10a0.80a3.23 a0.67a0.571 a$0.097 \\mathrm{ab}$
N282282282282282282282282282282282282280280280
SE0.00620.00960.00290.0040.00440.00450.00310.00130.09270.01580.00620.01330.0101§0.0113§0.0121§
Var0.01070.02580.00230.00450.00540.00570.00270.00052.42260.07030.01090.05010.0285§0.0358§0.0412§
Between
patch
mean1.28 a1.56b0.42 a0.69a0.87a0.84b0.62 a0.15a5.89 a4.09a0.80a3.25a0.667 a0.57a0.098 ab
N640640640640640640640640640640640640638638638
SE0.00480.00640.0020.00270.0030.00290.00220.00090.06010.01240.0050.01060.0062§0.0068§0.0078§
Var0.01450.02640.00260.00470.00570.00550.00320.00062.3120.09780.01590.07170.0242§0.0297§0.0385§
Betweenpopulation
mean1.39b1.63c0.42 a0.68a0.87a0.86 a0.63 a0.14a5.36b4.33b0.87b$3.484 \\mathrm{~b}$0.70b0.61b0.0926
N457457457457457457457457457457457457457457457
SE0.0080.01110.00220.0030.0030.0030.00230.0010.07080.01610.00550.01540.0070.00790.0111
Var0.02910.05610.00230.0040.00420.00420.00240.00052.28890.11780.0140.1080.0224§0.0288§0.0566
P-Limit***********************
"} {"image_path": "images/6513fdc78e2df065a254eb8d10a1c616.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
道琼工业指数峰位与谷底之间的涨幅和跌幅确认日道氏理论确认日之间的道琼工业指数涨幅和跌幅
日期高 / 低涨幅跌幅价格涨幅回报率 ( % )跌幅回报率 ( % )
1953 年 1 月 5 日293. 79132. 19Br 1953 年 4 月 2 日280. 0397. 6053. 50
1953 年 9 月14 日255. 4938.30BI 1954 年 1 月19 日228. 2751. 7618. 48
1956年 4 月 6 日521. 05265. 56Br 1956 年 10 月 1 日468. 70240. 43105. 32
1957 年 10 月 22 日419. 79101.26BI 1958 年 5 月 2 日459. 569. 141. 95
1959 年 8 月 3 日678. 10258. 31Br 1960 年 3 月 3 日612. 05152. 9933. 29
1960 年 10 月 25 日566. 05112.05BI 1960 年 12 月 28 日615. 75- 3. 70- 0. 60
1961 年 12 月 31 日734. 91168. 86Br 1962 年 4 月 26 日678. 6862. 9310. 22
1962 年 6 月 26 日535. 76199.15BI 1962 年 11 月 9 日616.1362. 559. 22
1966 年 2 月 9 日995. 15459. 39Br 1966 年 5 月 5 日899. 77283. 6446. 06
1966 年 10 月 7 日744. 32250.83BI 1967 年 11 月 1 日822 .4977. 289. 40
1968 年 12 月 3 日985. 21240. 89Br 1969 年 2 月 25 日899. 8077. 319. 40
1970 年 5 月 26 日631. 16354.05BI 1970 年 8 月 24 日759. 58140. 2218. 46
1972 年 5 月 26 日971. 25340. 09Br 1973 年 5 月 14 日909. 69150. 1119. 76
1974 年 10 月 4 日584. 56386.69BI 1975 年 1 月 27 日692. 66217. 0323. 86
1976 年 9 月 21 日1014. 79430. 23$ Br 1977 年 10 月 24 日 $802. 32109. 6615. 83
1978 年 2 月 28 日742. 12272.67BI 1978 年 4 月 14 日795.137. 190. 90
1981 年 4 月 27 日1024. 05281. 93Br 1981 年 7 月 2 日959. 19164. 0620. 63
1982 年 8 月 12 日776. 92247.13BI 1982 年 10 月 7 日965. 97-6. 78- 0. 71
1983 年 11 月 29 日1287. 20510. 28Br 1984 年 1 月 25 日1231. 89265. 9227. 53
1984 年 6 月 15 日1086. 90200.30BI 1984 年 8 月 1 日1134. 6197. 287. 90
1989 年 10 月 9 日2791. 411704. 51Br 1987 年 10 月 15 日2355. 091220. 48107. 57
1991 年 ?? 月 ?? 日2365. 10426.31BI 1988 年 3 月 ?? 日不详不详不详
BI 1990 年 1 月 25 日2561. 04不详
BI 1991 年 1 月 10 日不详不详不详不详
总计5 823.203 487. 84总计3 307.721047.38997 . 28282. 08
"} {"image_path": "images/deafcf5b4a46bc761bbc9de4a3ac130e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RotationalspeedrpmFeedin/rev.Expenimentallymeasured torque*N-mCalculaled torqueN-mCalculated torque[22]N-m
7500.00622.319.819.8
7500.00928.425.225.1
7500.01232.430.530.5
7500.01642.637.637.6
9400.00619.120.020.0
9400.00926.725.425.4
9400.01232.330.730.7
11500.00621.220.320.3
11500.00926.225.625.6
11500.01233.430.930.9
11500.01641.438.038.0
16400.00930.726.226.1
16400.01236.031.531.5
16400.01636.938.638.6
20000.01233.631.931.9
20000.01642.739.039.0
"} {"image_path": "images/c5fbd567c0b30706d7939fe197245dbb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
99薛家岗遗址新石器时代安徽省潜山县
1010北庄遗址新石器时代山东省长岛县
1111丹土遗址新石器时代山东省五莲县
1212西山遗址新石器时代河南省郑州市
1313王城岗及阳城遗址新石器时代~东周河南省登封市
1414美里城遗址新石器时代、商、周河南省汤阴县
1515石家河遗址新石器时代湖北省天门市
1616雕龙碑遗址新石器时代湖北省枣阳市
1717城头山遗址新石器时代湖南省澧县
1818石佛洞遗址新石器时代云南省耿马傣族佤族自治县
1919卡若遗址新石器时代西藏自治区昌都县
2020姜寨遗址新石器时代陕西省临潼县
2121齐家坪遗址新石器时代甘肃省广河县
2222大甸子遗址青铜时代内蒙古自治区敖汉旗
2323白金宝遗址青铜时代黑龙江省肇源县
2424旌介遗址山西省灵石县
2525吴城遗址江西省樟树市
2626曲村一天马遗址山西省曲沃县、翼城县
2727大工山—凤凰山铜矿遗址西周~宋安徽省南陵县、铜陵市
2828蔡国故城西周、春秋河南省上蔡县
2929酒店冶铁遗址战国、汉河南省西平县
3030戚城遗址春秋河南省濮阳市
3131郑国渠首遗址战国陕西省泾阳县
3232魏长城遗址战国陕西省华阴市、大荔县、韩城市
3333北戴河秦行宫遗址河北省秦皇岛市
3434 固阳秦长城遗址内蒙古自治区固阳县
3535 秦代造船遗址、南越国宫署遗址及南越文王墓秦、西汉广东省广州市
3636五女山山城高句丽(公元前37~668年)辽宁省桓仁满族自治县
3737凤凰山山城高句丽(公元前37~668年)辽宁省凤城市
3838城村汉城遗址福建省武夷山市
3939甘泉宫遗址陕西省淳化县
"} {"image_path": "images/c23d0f2616632add2929f86cd7bcbe99.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
迭代步123456
验算点的初始坐标$R^{\\prime(0)}$22.000014.009115.505515.804515.989216.0923
$G^{\\prime(0)}$10.000011.677112.549812.389512.286212.2302
$Q^{\\prime(0)}$2.00002.33212.95573.41503.70303.8622
可靠性指标$\\underline{\\beta}$3.26383.77233.88953.88753.89543.9022
$\\Delta\\underline{\\beta}$0.50850.11720.00200.00790.0068
验算点的新坐标$R^{\\prime(1)}$14.009115.505515.804515.989216.092316.1452
$G^{\\prime(1)}$11.677112.549812.389512.286212.230212.2018
$Q^{\\prime(1)}$2.33212.95573.41503.70303.86223.9434
迭代步78910111213
验算点的初始坐标$R^{\\prime(0)}$16.145216.171116.183516.189316.192116.193416.194
$G^{\\prime(0)}$12.201812.187912.181312.178212.176812.176112.1758
$Q^{\\prime(0)}$3.94343.98314.00214.01114.01534.01734.0182
可靠性指标$\\underline{\\beta}$3.90633.90843.90953.91003.91023.91033.9104
$\\Delta\\underline{\\beta}$0.00410.00210.00110.00050.00020.00010.0001
验算点的新坐标$R^{\\prime(1)}$16.171116.183516.189316.192116.193416.19416.1943
$G^{\\prime(1)}$12.187912.181312.178212.176812.176112.175812.1756
$Q^{\\prime(1)}$3.98314.00214.01114.01534.01734.01824.0187
"} {"image_path": "images/dd78e42a28a0c5c5c5a3c7fff8ba4b83.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$2\\theta_{2}(^{\\circ})$ $\\varrho(^{\\circ})$$\\Sigma_{1}$$\\Sigma_{2}$
50, 1300,1800.41321
10,1700.43090.9823
20,1600.48190.9313
30,1500.55990.8533
40,1400.65570.7575
50,1300.75750.6557
60,1200.85330.5599
70,1100.93130.4819
80,1000.98230.4309
90, (270)10.4132
60, 1200,1800.25001
10,1700.27260.9774
20,1600.33780.9122
30,1500.43750.8125
40,1400.55990.6901
50,1300.69010.5599
60,1200.81250.4375
70,1100.91220.3378
80,1000.97740.2726
90, (270)10.2500
70, 1100,1800.1170I
10,1700.14360.9733
20,1600.22030.8967
30,1500.33770.7792
40,1400.48180.6351
50,1300.63510.4818
60,1200.77920.3377
70,1100.89670.2203
80,1000.97330.1436
90, (270)10.1170
80, 1000,1800.03021
10,1700.05950.9707
20,1600.14370.8865
30,1500.27270.7576
40,1400.43090.5993
50,1300.59930.4309
60,1200.75760.2727
70,1100.88650.1437
80,1000.97070.0595
90, (270)10.0302
900,18001
10,1700.03020.9698
20,1600.11700.8830
30,1500.25000.7500
40,1400.41320.5868
50,1300.58680.4132
60,1200.75000.2500
70,1100.88300.1170
80,1000.96980.0302
90, (270)10
I = KI' ×$\\left\\{\\frac{\\left(\\cos ^2 2 \\theta_1 \\cos ^2 \\varrho+\\sin ^2 \\varrho\\right) \\cos ^2 2 \\theta_2+\\cos ^2 2 \\theta_1 \\sin ^2 \\varrho+\\cos ^2 \\varrho}{1+\\cos ^2 2 \\theta_1}\\right\\}$,
"} {"image_path": "images/305408f1548487d091173929fb5c494b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类型等级12345
范围(mg/kg)≥30.020.0~30.010.0~20.05.0~10.00
等级描述极高中等极低
面积(亩)占比(%)面积(亩)占比(%)面积(亩)占比(%)面积(亩)占比(%)面积(亩)占比(%)
水田本次调查18 0246.6866 35624.58154 82757.3530 73511.38210.01
第二次土壤普查12 904.474.7892 005.0934.08165 058.4461.14
旱地本次调查9 4299.2632 16131.5753 29052. 316 7656.642310.23
第二次土壤普查346.430.342 486. 142.4433 084. 0132.4765974.4264.75
合计本次调查27 4537.3898 51726.49208 14755.9737 50010.092520.07
第二次土壤普查0346.430.0915 390.614.14125 089.1033.64 231032.8662.13
"} {"image_path": "images/9fa8041f688afb85e6e171d9fd3fcfe4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$m(\\mathrm{NaCl})^d/\\mathrm{mol}\\cdot\\mathrm{kg}^{-1}$$\\gamma_{\\pm}(\\mathrm{NaCl})^{e}$$\\Delta E^{f}$$m(NaCI)/$${\\mathrm{mol} \\cdot \\mathrm{kg}^{-1}} $$\\gamma_{\\pm}(\\mathrm{NaCl})$△E/mV $m(NaCI)/$${\\mathrm{mol} \\cdot \\mathrm{kg}^{-1}} $$\\gamma_{\\pm}(\\mathrm{NaCl})$$\\Delta E/mV $$m(\\mathrm{NaCl}) / \\mathrm{mol} \\cdot \\mathrm{kg}^{-1}$$\\gamma_{\\pm}(\\mathrm{NaCl})$$\\Delta E/mV $
r = 100r = 150r = 200r = 250
0.74260.4909189.20.74500.4911189.10.74630.4907201.8 0.74700.4906203.2
0.99010.4751202.10.99340.4752201.90.99500.4747215.50.99600.4746217.0
1.23760.4668212.51.24170.4670212.31.24380.4663226.51.24500.4662228.1
1.48510.4634221.31.49010.4637221.11.49250.4628235.91.49400.4627237.6
0.50
0.00050.9605-149.50.00050.9603-146.90.00050.9604-144.60.00050.9604-146.5
0.00070.9520-128.70.00070.9519-126.60.00070.9520-124.70.00070.9520-126.3
0.00100.9450-114.10.00100.9450 -112.30.0010 0.9450-110.60.00100.9451-112.1
0.00250.9161-68.20.00250.9160 -66.90.00250.9160-65.90.00250.9160-66.7
0.00500.8855-33.70.00500.8856 -33.20.00500.8855-32.50.00500.8856-32.9
0.00740.8637-13.90.00740.8637-13.60.00750.8637-13.30.00750.8636-13.4
0.00990.84610.00.00990.8461 0.10.00990.84610.20.01000.84610.3
0.02470.778643.30.02480.778642.90.02490.778642.30.02490.778643.0
0.04950.716275.10.04970.716274.30.04970.716273.20.04980.716274.2
0.07430.676093.20.07450.676092.10.07460.676090.80.07470.676092.0
0.09900.6464105.90.09930.64630.0995104.60.6463103.00.09960.6463104.5
0.12380.6230115.60.12420.6229114.20.12440.6229112.50.12450.6229114.0
0.24750.5507145.20.24830.5505143.40.24880.5505141.30.24900.5505143.2
0.49510.4848174.70.49670.4844172.50.49750.4843169.80.49800.4841172.2
0.74260.4529192.30.74500.4525189.80.74630.4523186.90.7470 0.4520189.4
0.99010.4352205.20.99340.4346202.50.99500.4343199.40.99600.4338202.1
1.23760.4252215.61.24170.4244212.71.24380.4240209.51.24500.4234212.3
"} {"image_path": "images/698640962027937f13e461b55a5aa69b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
公 称 直 径DNmm曲 面 高 度$h_{1}$mm直 边 高 度$h_2$mm内 表 面 积$F_{h}$$mm^{2}$容 积$V_{h}$$mm^{3}$
30075250.1210.00530
(350)88250.1600.00802
40010025
40
0.204
0.223
0.0115
0.0134
(450)11225
40
0.254
0.275
0.0158
0.0183
50012525
40
50
0.309
0.333
0.349
0.0213
0.0242
0.0262
(550)13725
40
50
0.370
0.396
0.413
0.0277
0.0313
0.0336
60015025
40
50
0.436
0.464
0.483
0.0352
0.039
60.0425
(650)16225
40
50
0.507
0.538
0.558
0.0442
0.0493
0.0526
70017525
40
50
0.584
0.617
0.639
0.0545
0.0603
0.0642
80020025
40
50
0.754
0.792
0.817
0.0796
0.0871
0.0921
90022525
40
50
0.945
0.880
1.02
0.112
0.121
0.127
100025025
40
50
1.16
1.21
1.24
0.151
0.162
0.170
(1100)27525
40
50
1.40
1.45
1.49
0.198
0.212
0.222
120030025
40
50
1.65
1.71
1.75
0.255
0.272
0.283
"} {"image_path": "images/926c9cb31ff706eec6bd12c46ad5519f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VarianceMean (m)Type-1(m)VarianceMean (m)
$m_1$$m_2$$m_1$$m_2$$\\begin{array}{c}\\mathrm{Type-1} \\\\(\\mathrm{m})\\end{array}$
$\\tilde{X}_{1}^{\\mathrm{i}}$1-3-2-2.5$\\tilde{X}_{5}^{\\mathrm{i}}$1010.5
$\\tilde{X}_{2}^{\\mathrm{i}}$1-2-1-1.5$\\tilde{X}_{6}^{\\mathrm{i}}$1121.5
$\\tilde{X}_{3}^{\\mathrm{i}}$1-10-0.5$\\tilde{X}_{7}^{\\mathrm{i}}$1232.5
$\\tilde{X}_{4}^{\\mathrm{i}}$1-.5.50
"} {"image_path": "images/2700379f884b20a7741c4c0549c5d014.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PaperTestTristimulus valuesTrichromaticcoefficierits
Blue-whiteRochester
Harrow
Mean of Harrow diffs.
X
0·8415
0·8187
0·0005
Y
0·8466
0·8235
0·0002
Z
0.7102
0.6913
0·0002
x
0·3509
0·3510
0.00008
y
0·3530
0·3528
0.00003
NaturalRochester
Harrow
Mean of Harrow diffs.
0·9159
0·8867
0.0004
0·9238
0·8955
0·0007
0.7384
0.7184
0·0002
0·3553
0·3547
0.00015
0·3583
0·3581
0·00008
Cream-whiteRochester
Harrow
Mean of Harrow diffs.
0·8738
0·8498
0.0003
0.8774
0.8545
0·0002
0·6749
0.6567
0.0001
0·3602
0·3597
0.0002
0·3617
0·3618
0.00008
IvoryRochester
Harrow
Mean of Harrow diffs.
0·8518
0·8223
0.0003
0·8472
0.8204
0·0005
0·5449
0·5278
0.0002
0·3796
0·3789
0.00008
0·3776
0·3779
0.00008
BuffRochester
Harrow
Mean of Harrow diffs.
0.8593
0·8319
0·0002
0·8616
0·8368
0·0004
0·5580
0·5398
0·0001
0·3771
0·3767
0.00005
0·3781
0·3790
0.00008
"} {"image_path": "images/9abe9d9c4185f303c4a274d4c5a0b542.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
nCationNeutral
E1${}^+$E2${}^+$E3${}^+$E4${}^+$E5${}^+$E6${}^+$E7${}^+$E1E2E3E4E5E6E7AIE
${ }^{\\text {ROHF }} \\Delta E_{\\text {total }}{ }^{+}$$\\Delta E$$\\Delta E{}^+$$\\Delta E^{\\mathrm{def}}$$\\Delta E^{\\mathrm{def+}}$$\\Delta E_{\\text {vap }}{}^{+}$$\\Delta E_{\\text {vap }}{}^{+}$${ }^{\\mathrm{RHF}} \\Delta E_{\\text {total }}$$\\Delta E$$\\Delta E$$\\Delta E^{\\mathrm{def}}$$\\Delta E^{\\mathrm{def}}$$\\Delta E_{\\text {vap }}$$\\Delta E_{\\text {sep }}$
$\\text{C}_{60}{}^+(\\text{H}_2\\text{O})_n$$(\\text{H}_2\\text{O})_n$$\\mathrm{C}_{60}^{\\ \\ \\ \\ +}$$(\\text{H}_2\\text{O})_n$$\\text{C}_{60}(\\text{H}_2\\text{O})_n$($(\\text{H}_2\\text{O})_n$)$C_{60}$$(\\text{H}_2\\text{O})_n$
1-0.18-0.360.000.000.000.180.18-0.01-0.010.000.000.000.010.017.48
2-0.55-0.44-0.290.000.000.370.26-0.29-0.10-0.230.000.010.280.057.49
3-1.04-0.25-0.860.000.000.490.18-0.70-0.05-0.680.000.000.410.027.63
4-2.13-0.41-1.830.000.001.090.30-1.40-0.05-1.390.000.000.710.017.62
5-2.30-0.30-2.020.010.000.170.28-1.58-0.04-1.580.000.000.180.007.50
6-2.95-0.57-2.590.030.000.650.36-2.00-0.05-2.010.000.000.42-0.017.53
"} {"image_path": "images/5cb83557f9b4c8bd102873b826af559d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesModel 1Model 2Model 3
CoefficientSECoefficientSECoefficientSE
Intercept-0.30 %1.15 %0.16 %2.16 %-0.36 %1.47 %
Event (0,+1)15.01 %1.64 %***15.01 %1.64%***15.01 %1.64 %***
Denial (0, +1)-11.24 %2.33 %***-11.24 %2.33%***-11.24 %2.33%***
$R_{\\mathrm{M},t}$86.78 %12.08%***86.79 %12.08%***86.78 %12.08%***
Source credibility0.16 %2.39 %
Source of denial-0.65 %2.56 %
F Test [event date (0,+1) + denial date (0, +1)]3.77 %1.67%**3.77 %1.67 %**3.77 %1.67 %**
Number of firms89
Number of observations7,570
"} {"image_path": "images/e632b5ecad42cb6231a2d1d491085a15.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
Device typeParameter
$\\tau_{m\\:0}$$(10^{-5}\\:\\mathrm{s})$$\\sigma_{n}$$(10^{-15}\\:\\mathrm{cm}^{2})$$x_{0}$$(\\mathring{A})$$\\bar{N}_{\\mathrm{sr}}$$(10^{11}/cm^{2}\\:\\mathrm{eV})$$V_{u}$(V)${N}_{\\mathrm{sr}}$$(10^{11}/cm^{2}\\:\\mathrm{eV})$$V_{u}$(V)${N}_{\\mathrm{sr}}$$(10^{11}/cm^{2}\\:\\mathrm{eV})$
BA/BBA/BBA/BBA/BBA/B
300K1.51.140.06.83.33.12.59.50-0.312.50-0.189.5
270 K2.61.67.02.23.32.42.815.00.31-0.403.80.18-0.2529.0
240K4.22.85.51.04.02.63.325.00.40-0.457.30.25-0.3261.0
210K5.612.04.80.73.53.13.36.50.45-0.503.3......
"} {"image_path": "images/c09ec4487512d7f327872fa8ae7fa3de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
公 司型 号铣刨宽度(m)铣刨深度(m)工作速度(km/h)行驶速度(km/h)发动机功率(kw)结构质量(t)
德 国
WIRTGEN
SF500C0.5480.361843.34
SF100C1850-1010412.25
SF1200C1.21201.26104.511
SF1300C1.31501.86175.417.9
SF1500C1.51501.086204.518
SF1900C1.91501.086287.327.4
SF2100C2.11501.215.5359.730
SF2200C2.21801.566567.935.5
SF2600C2.61801.56656038
SF3800C3.81500.9709.0
美国
CAT
PR-i050.3051520-5.855-867.27.7
PR-2751.7021020-2.88205.213.6
PR-4501.9052540-3.182-3335.824.95
PR-10003.812540-1.380-3.3186.6+559.7
英国
CMI
PR-275RT20-2.7201.517.2
PR-5252.60-2.34391.823.6
PR-7503.21200-1.26559.732.7
美国 BARBER-GREENERX-401.9178320.9
RX-75120
英国 BID0.80-2.281.8-3.865.715.24
瑞典
DYNAPAC
PL5000.50-800-0.780-1062.57.1
PL20001.980-1500-2.280-529428.8
1.560-3.331.7
日本范多机械CRP-120FL1.212500-0.60-8163.214
日本光洋机械产业株式会社DYP-5000Z-SP2.051500-1.920-9.1330
"} {"image_path": "images/91958f5c61712f3fc66bb11b91c90617.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Crystal$\\mathrm{Cu}_{6} \\mathrm{PS}_{5} \\mathrm{Br}_{0.75} \\mathrm{Cl}_{0.25}$$\\mathrm{Cu}_{6} \\mathrm{PS}_{5} \\mathrm{Br}_{0.5} \\mathrm{Cl}_{0.5}$$\\mathrm{Cu}_{6} \\mathrm{PS}_{5} \\mathrm{Br}_{0.25} \\mathrm{Cl}_{0.75}$
$T < T_{II}$$T > T_{II}$$T < T_{II}$$T > T_{II}$ $T < T_{II}$$T > T_{II}$
$E_{g}^{*}(300 \\mathrm{~K}), \\mathrm{eV}$2.3172.3272.371
$E_{U}(300 \\mathrm{~K})$, meV30.928.390.3
$\\alpha_{0}$ , $cm^{-1}$ $ 1.84\\times 10^{5} $$ 3.92\\times 10^{5} $$3.74 \\times 10^{4}$
$E_0,\\text{eV}$2.4782.4942.693
$\\sigma_{0}$0.9980.9641.1160.9960.4360.419
$\\hbar \\omega_{p}, \\mathrm{meV}$31.634.638.627.166.660.5
$\\theta_{E},\\mathrm{K}$367401448314773702
$\\left(E_{U}\\right)_{0}, \\mathrm{meV}$15.818.017.213.476.572.3
$\\left(E_{U}\\right)_{1}$ , meV31.735.635.127.6153.3143.9
$E_{g}^{*}(0), \\mathrm{eV}$2.3862.3922.3892.4152.4172.419
$S_{g}^{*}$4.436.074.926.059.767.44
"} {"image_path": "images/23eb8f65102769b2f694a831399a8a51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MineralNotes:$V_{298}$($cm^3$)$\\Theta_{298}$(K)$\\gamma_{298}$$K_{7298}$(GPa)K'$\\delta_{\\tau}$qa(J/$K^2$)X
Rock salt NaCl127.0152971.67323.665.090.417
227.0153001.68723.584.960.410
327.0162921.64423.794.965.621.3380.700
427.0152911.64323.585.031.2370.560
Corundum $Al_2O_3$25.6159681.388252.575.045.15-1.512-0.721E-31
Lawsonite $CaAl_2Si_2O_7(OH)_2H_2O$101.511697
536
0.943 113.43 2.921 0
"} {"image_path": "images/4bde85b5404e1c072350b42c290a1a00.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
书名序例
孙星衍祠堂书目经学第一小学第二地理第五史学第七金石第八 诸子第三小说第十二天文第四医律第六书画第十一类书第九词赋第十
四库全书总目经部一史部二子部三集部四
书目答问经部史部子部集部丛书别录
"} {"image_path": "images/c188bc7b8fd4f9a6499db3a7d34ab4ef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
구분정보/기능정보/기능의 타명성 점도
때우부척절 $\\Leftrightarrow$보통 $\\Leftrightarrow$때우석절
교과 내 콘텐츠 추천교과 내 수준병 학슴 추천
수업 과정수강생 비율(학년,성법,전공)
수업 성적 분포
본인의 성적과 수엄 성적 평균비교
현재까지의 본인의 성적 총한
과제 제츨 핸항
중간 및 최총 강의 평가
본인의 브 활동시간
Q&A
토론방
수정 워견
"} {"image_path": "images/35574c43551a4b231fdeb6b342e5a474.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Theil-strichn.I. Versuchs-reihe.II. Versuchs-reihe.III. Versuchs-reihe.IV. Versuchs-reile.
P.X.P.X.P.X.P. X.
+6+428,2+46,4+82,8+14,0+492,4+51,7+313,7+36,5
+5+254,1+31,1+63,5+11.8+312,4+36,4+146,7+20,9
+4+174,2+23,6+63,8+11,8+222,8+28,2+ 88,7+14,7
+3+108,6+16.9+57.9+11,0+153,8+21,6+ 59,0+11,2
+2+ 61,7+11,6+30,8+7,3+ 90,0+14,9+ 28,8+ 7,1
+1+ 26,3+ 6,6+ 3,0+ 1,9+45,1+ 9,4+ 5,0+ 2,5
0+ 3,2+ 2,0-3,8- 2,1 +8,0+ 3,3+ 0,8+ 0,9
-1-5,3-2,6-7,0-28,0-9,2-3,5-9,2- 3,5
-2-67,8-8,6-51,5-10,3-93,0-15,2-21,6-5,9
- 3-124,2-18,5-64,2-11,8-171,5-23,4-47,5- 9,7
-4-213,5-28,4-67,1-12,2-239,8-29,9-84,5-14,2
-5-280,1-33,5-63,1-11,7-332,0-38,1-143,2-20,6
-6-490,2-51,5 -74,0-13,0-515,0-53,6-297,7-35,1
$\\text{Ablenkung } \\\\~~14',2$$\\text{Ablenkung } \\\\~~5',7$$\\text{Ablenkung } \\\\~~15',37$$\\text{Ablenkung } \\\\~~8',70$
"} {"image_path": "images/cbf55c46fa2ea00d3b20068eece90052.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
行次 国家(地区) 境外税前所得 境外所得纳税调整后所得 弥补境外以前年度亏损境外应纳税所得额 抵减境内亏损 抵减境内亏损后的境外应纳税所得额 税率 境外所得应纳税额 境外所得可抵免税额 境外所得抵免限额 本年可抵免境外所得税额 未超过境外所得税抵免限额的余额 本年可抵免以前年度未抵免境外所得税额 按简易办法计算 境外所得抵免所得税额合计
按低于12.5%的实际税率计算的抵免额 按12.5%计算的抵免额 按25%计算的抵免额 小计
1234 5(3-4)6 7(5-6)8 9(7×8)10111213(11—12)1415161718(15+16+17)19(12+14+18)
1A国137.501000100010025%2537.50252500000025
"} {"image_path": "images/c3eeff7809d4b1e6558c0fcea3660f17.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0 =twz57-9899-140$\\cdots$ 6969-7010 7011-7052$\\cdots$
+20.825+ 0.017
+21.175
- 0.017
- 0.351
+42.000
-52.822
- 1.885
- 8.310
-52.433
+ 0.946
- 8.495
$\\cdots$
$\\cdots$
$\\cdots$
-20.748
- 4.153
- 8.005
-20.835
- 2.895
- 8.180
$\\cdots$
$\\cdots$
$\\cdots$
+21.175- 0.351
+42.000
- 1.842
- 8.353
+ 0.989
- 8.538
$\\cdots$
$\\cdots$
- 4.136
- 8.022
- 2.878
- 8.197
$\\cdots$
$\\cdots$
+41.994- 8.384- 8.522$\\cdots$- 8.090- 8.245$\\cdots$
"} {"image_path": "images/ec62e55aefdfda765baedfff85a943ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学院代码及名称、专业代码及名称、研究方向指导教师考 试 科 目备 注
02 脑肿瘤(脊柱外)张春芳
01 脊柱结核的临床 及相关基础研究
02 脊柱畸形的临床 及相关基础研究
01 脊柱与关节疾病的 基础与临床研究袁贤瑞
01 脊柱疾病相关研究(骨外)
01 关节疾病的防治研究方加胜
01 骨关节外科临床与基础研究
02 组织工程骨基础与应用研究
01 关节外科姜 冰
01 人工关节与关节镜微创外科基础和临床研究
02 骨关节退变发病机理与防治研究(烧伤整形)张宏其
01 烧伤感染、创面修复
02 整形外科临床研究胡建中
01 颅颌面部畸形、缺损的整形重建
01 面部及乳房的整形美容(泌尿外)王锡阳
01 泌尿生殖系肿瘤
02 微创泌尿外科李康华
01 泌尿系结石的微创治疗
02 泌尿系肿瘤基础与临床廖前德
01 前列腺,下尿路疾病
02 生殖泌尿系肿瘤
01 微创泌尿(乳腺外)胡懿郃
01 乳腺癌的基础与临床研究雷光华
黄晓元
翦新春
龙剑虹
齐 琳
"} {"image_path": "images/2c0d82fb9940c9ae9342514485c51c92.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
WCM
pillar's
Safety-hygiene
and working
environment
Cost
deployment
Focus
improvement
Autonomous
activities
Professional
maintenance
Quality
control
Logistic and
customer service
Early equipment and product managementEnvironment People
development
Total
General average for the pillar24.9038.9737.0324.4820.3439.3136.5527.8616.6231.31297.3
Relative pillar weight (ωj)0.0840.1310.1250.0820.0680.1320.1230.0940.0560.1051.000
Source: Prepared by the authors
"} {"image_path": "images/5a826162638b5310c5cc82a9149d2722.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$H_2$ on addition of $\\beta$-diketone$H_2$ on subsequent addition of ester
Calcd. for 1 mol.Calcd. for 2 mol.
equiv., 1.Found, 1.% of theoryequiv., 1.Found, 1.% of theoryTime, hr.
2.602.5498
1.321.361032.642.54964
1.121.40932.242.241004
"} {"image_path": "images/c23f791f7967a2e61937cb9cf8d079ad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Panel A:1-year-ahead(i=1)Panel B: 2-year-ahead avg.((i=1+i=2) / 2)
IFRS sampleU.S. GAAPsampleIFRS sampleU.S. GAAPsample
IFRS 

0.026
$(3.53))^{***}$
0.046
$(2.45))^{**}$
GAAP 

0.034
(3.60)$^{***}$
0.055
(2.69)$^{***}$
EARN 

0.707
$(23.21))^{***}$
0.714
$(33.35))^{***}$
0.643
$(15.09))^{***}$
0.641$
(25.85))^{***}$
LOSS 

-0.032
$(-4.61)^{***}$
-0.021
$(-4.95)^{***}$
-0.020
$(-2.61)^{***}$
-0.012
$(-1.93)^{*}$
EARN × LOSS 

-0.237
$(-3.85)^{***}$
-0.038
(-1.16)
-0.158
$(-2.33)^{**}$
0.029
(0.57)
Country indicatorsYesYesYesYes
Year indicatorsYesYesYesYes
Adjusted $R^2$0.5220.5220.435
N17,67017,67012,731
Test of coefficient equalityDiffDiff
$\\mathrm{EARN}\\left(\\mathrm{test}\\ \\alpha_1=\\gamma_1\\right)$​ 

-0.007
(-0.18)
0.001
(0.03)
$\\mathrm{EARN}+\\mathrm{EARN}\\times\\mathrm{LOSS(test}\\alpha_{1}+\\alpha_{3}=\\gamma_{1}+\\gamma_{3})$ 

-0.198
$(-2.84)^{***}$
-0.187
$(-2.20)^{**}$
$\\mathrm{EARN+EARN\\times LOSS(test}$
$\\alpha_{1}+\\alpha_{3}=\\gamma_{1}+\\gamma_{3})$
-0.205
$(-3.49)^{***}$
-0.186
$(-2.49)^{**}$
"} {"image_path": "images/70773faac7e9eff25cbca98999d3d5f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
原 型 号代 换 型 号原 型 号代 换 型 号原 型 号代 换 型 号
1SR80 - 400NTE59202FB400SK36482W04MNTE5304, PB204M
1SR82 - 400NTES9202FB600NTE5305, SK36782W005NTE5304
1SS411N44542FB800NTE5306, SK36492W005MNTE5304, PB201M, WB200
1SS68NTE519, 1N44502FB1000NTE5307, SK36492W06NTE5305
1SS921N44542FBP01PBP2022W06MNTE5305, PB205M, SBR6
1SS931N4152FBP02PBP2032W08NTE5306
1SS1171N44502FBP041PBP2042W08MNTE5306, PB206M, SBR8
1SS118NTE519, SK3100, 1N44542FBP005PBP2012W10NTE5307
1SS130NTE177, SK90912FBP06PBP2052W10MNTES307, PB207M, SBR10
1SS131NTES19, SK90912FBP08PBP2063B4B41KBPC101, NTE5312,SK3985
1SS132NTE519, SK90912FBP10PBP2073D4B41KBPC102
1SS133 NTE177, SK90912KBP01BRF202, NTE166, PBP2023FF051N5802
1SS136NTE519, SK3100, 1N44542KBP01MPBP202,2KBP013FF101N5803, 1N5804
1SS1391N44542KBP02BRF203, KBP02, NTE1673FF151N5805, 1N5806
1SS1401N44542KBP02MPBP203.PD10, PD203FF501N4937
1SS1411N49382KBP04BRF204, KBP04, NTE1683C4B41KBPC104
1SS144 NTES52,1N49382KBPO4MPBP204, PD40, 2KBPO43J4B41KBPC106
1SS146NTE552, SK90002KBP005BRF201, KBP005, NTE1663JH61NTE552, RG3J, SK9000
1SS1751N44542KBP005MPBP201,PD053KC3505SK3650
1SS228 NTES192KBP06BRF205, KBP06, NTE1693KC3510SK3650
1SS254NTE519, SK31002KBP06MPBP205, PD60, 2KBPO63KC3520SK3650
1SS270NTE177, SK31002KBP08BRF206, KBP08, NTE1703KC3540SK3651
1SS270ANIES192KBP08MPBP206, PD80, 2KBP083KC3560SK3651
1SS355NTE519, SK31002KBP10BRF207, KBP10, NTE1703KC3580SK9388
1SX1701N49332 KBP10MPBP207,2KBP103KC3510011 SK9388
1SX1711N49342PFF2UTX205,UTX210,UTX2153N246NTE166, SK3105, SK9075
1SX1721N49342PFF4UTX2253N247NTE166, SB201, SK3105
1SX1731N49352PFT1BYV27 - 100, UES11023N248NTE167, SB202, SK3105
1SX1741N49362PT05BYV27 - 50,UES11013N249NTE168, SB204, SK3106
1SX1751N49362PFT15BYV27 - 150,UES11033N250NTE169, SB206, SK3676
1TH61NTE558, SK39252W01NTE53043N251NTE170, SB208, SK3649
2B4B41NTES312, SK39352W01MNTE5304, PB202M, 18DB1A3N252NTE170, SB210, SK3107
2FB050SK90752W02NTE53043N253BRF201, NTE166, SK3647
2FB100SK90752W02MNTE5304,PB203M,SBR23N25418RF202, NTE166, SB201
2FB200$ \\text { SK3647 } $2W04NTE53043N255BRF203, NTE167, SB202
"} {"image_path": "images/f50ab1dd1c86cac668ca9267da6aa37a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Wavelength(A)$\\sigma ~\\mathrm{Mb}$Wavelength(A)$\\sigma ~\\mathrm{Mb}$
1306.0OI14 (2)871.1AIII 42 (1)
1304.9OI14 (2)864.7CIII42 (1)
1302.2OI14 (2)851.6CIII44 (1)
1275.1NII16 (2)850.6AIV43 (1)
1243.3NI18 (3)840.0AIV41 (1)
1217.6OI19 (1)835.1OIII42 (2)
1215.7$\\mathrm{H} \\alpha$16 (1)834.6OII48 (1)
1206.9SiII18 (1)833.7OII46 (2)
1200.7NI19 (2)833.3OII43 (3)
1200.2NI20 (2)796.7 OII42 (2)
1199.5NI19 (1)776.7 OII42 (1)
1184.5NIII20 (2)775.9OII39 (1)
1183.0NIII23 (2)772.9NIII43 (2)
1176.4CII25 (1)772.4NIII38 (1)
1175.5CII23 (1)771.9NIII43 (2)
1152.1OI19 (1)771.5NIII39 (2)
1135.0NI19 (3)765.1NIV40 (2)
1134.4NI19 (3)764.5NIV36 (2)
1085.5NII29 (2)763.3NIV36 (2)
1084.6NII27 (2)747.0NII35 (1)
1071.8CIII32 (1)745.8NII39 (2)
1065.9CII31 (1)686.3NIII 36 (2)
1037.0CII31 (2)685.0NIII32 (2)
1036.3CII31 (2)660.3NII33 (3)
991.5NII29 (3)645.2NII29 (2)
989.8NII38 (2)644.8NII32 (2)
979.8NIII41 (3)644.6NII27 (2)
977.0CIII44 (2)644.1NII36 (2)
961.5CIII56 (1)629.4NII35 (1)
958.5FI60 (1)629.2NII36 (1)
955.5FI56 (1)617.1OII34 (2)
954.8FI56 (1)616.3OII31 (2)
951.9FI56 (1)600.6OII31 (1)
932.0AIII48 (1)599.6OIII31 (2)
924.3NIV42 (2)582.2OII25 (2)
923.2NIV46 (3)581.0OII25 (2)
916.7NII49 (1)580.4OII25 (2)
916.0NII46 (1)538.3OII23 (2)
887.4AII38 (1)537.8OII24 (2)
883.2AIII39 (1)508.2OIII23 (2)
879.6AIII41 (1)507.7OIII25 (2)
875.8AIII45 (1)374.3NIV14 (1)
"} {"image_path": "images/4a8a8d4394dab5bd61dd37992695f199.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品类别序号检验项目检验要求
抽样试验检验全项型式检验
氯化聚乙烯防水卷材(N类)1尺寸 同厂家、同品种、同批号的氯化聚乙烯防水卷材,不大于$8000\\ \\text{m}^2$为一批 任何新选料源厂家
2外观(包括颜色)
3拉伸强度
4扯断伸长率
5热处理尺寸变化率
6低温弯折性
7抗穿孔性
8不透水性
9剪切状态下的黏合性
10保护层混凝土与防水卷材黏结强度
11防水卷材接缝部位焊接剥离强度
12热老化处理外观质量
拉伸强度变化率
断裂伸长率变化率
低温弯折性
"} {"image_path": "images/bec8536f89205490bfab17935d6b6641.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
.6.75421.65122.14062.93813.78254.72975.72716.752517.882289.821710.520412.11821516322.714822.71862711636.7
7.16601.585642.054952.884403.578924.373605.163296.353027.52828.72649.924711.321914.2819917.618021.416425.914134.5
7.35752:045012.384483.564034.38665.128866.88107.22888.52709.725611.2822414.220017.5818321.416825.214434.5
80007.97151.96222.385542.95008.74554.884155.23846.13527.13348.88129.827711.025014.622717.520921.117828.515637.5
8.57422.16602.785983.45424.54954.94555.74246.78958.798718.883011.129713.827016.624819.621326.818633.1
8.78252.027852.76603.26033.975504.785105.554786.44407.54138.586610.533218.230115.87 2761923525.920632.7
9.39702.08692.57808.17108.76504.55985.25548.785227.14857.843210.889012.635315.132518.227824.524332.1
9.59802.08802.98108.57184.36605.156075.955756.755407.74809.743212.039014.635817.430828.826831.124039.2
1011101.99902.99108.58304.27654.97105.76616.46227.55509.349511.5545014.041416.6735422.6281080.830437.4
10.310902.79853.39104.08404.17805.57286.86827.16059.154511.849513.245516.23882234128.730586.5
"} {"image_path": "images/d470b84f49460ec1633d4b773c5fbc92.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年度項目98 年度
期初實收資本額$2,468,000
本 年 度
配 股 配
息 情 形
每股現金股利-
盈餘轉增資每股配股數-
資本公積轉增資每股配股數-
營 業 績
效 變 化
情 形
營業利益(註)
營業利益較去年同期增(減)比率(註)
稅後純益(註)
税後純益較去年同期增(減)比率(註)
每股盈餘(註)
每股盈餘較去年同期增(減)比率(註)
年平均投資報酬率(年平均本益比倒數)(註)
擬 制 性
每 股 盈
余 及 本
益 比
若盈餘轉增資全數改配放現金股利擬制每股盈餘(註)
擬制年平均投資報酬率(註)
若未辦理資本公積轉增資擬制每股盈餘(註)
擬制年平均投資報酬率(註)
若未辦理資本公積且盈餘轉增資改以現金股利發放擬制每股盈餘(註)
擬制年平均投資報酬率(註)
"} {"image_path": "images/fe2f6eac0fb91ec453ecd8b4b44ad649.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
183Dana MactamaSMatisons Runner's ClubVentspils1:37:18
184Agnis MurnieksVOVIRiga1:37:18
185Peteris NikolajevsVJelgava1:37:29
186Juris OzolinsVRiga1:37:37
187Valdis RozentalsV40ZiepniekkalinsRiga1:37:37
188Albinas StatkusV40PENKI KALNAIMazeikiai1:37:44
189Edgars BalunovsVSPORTLANDRiga1:37:48
190Edgars RütindV40MARATONA KLUBS/BALTAOgresgals1:37:52
191jolanta Ivanova5VSK NoskrienPinki1:37:53
192Sandis ZivartsVVAS \"Latvijas gaisa satiksme\"Riga1:37:55
193Svetlana Capia5Riga1:37:58
194Rinalds OsisVOgre1:38:05
195Intars CervinskisV40Smaids A zobarstniecibaRiga1:38:08
196Aigars KokinsV404H PastaigaCesis1:38:12
197Valentins LaskevičsVJelgava1:38:19
198Sergio Macias-MunozVAdazi1:38:22
199Baiba Ziberga5Buzi-BaziJurmala1:38:24
200Mariano Gomez-jaraVBadajoz1:38:24
201Francisco-Jose Morcillo-ParejoVBadajoz1:38:25
202juan-Francisco Alonso-MunozVBadajoz1:38:25
203Daniel Sartorello-VarelaVmadrid1:38:28
204Andris VarpindVMatisons Runner's ClubVarve1:38:30
205Mareks JevtuhsVSPORTLANDRiga1:38:31
206Inese Subrovska540Moller Auto VentspilsVentspils1:38:36
207Ludmila Joce550Matisons Runner's ClubTurlava1:38:36
208Kristine Roga5VONDARSOUN VSK NoskrienRiga1:38:38
209Antonio GrageraV40Badajoz1:38:50
210Ivan Cabezas-VargasVBadajoz1:38:55
211Kaspars KiesnersVJeigava1:38:55
212Andris JansonsV50VSK NoskrienSaulkrasti1:38:58
213Laura Petersone5VSK NoskrienKocenu novads1:39:00
214Sergio OrtegaVTaliga1:39:02
215Dalia LukodieneS40BKSiauliai1:39:02
216Arturs Pielens-PelensVLattelecomRiga1:39:04
217Dainis BautrisVjurmalasture.lvRiga1:39:08
218Alejandro Gonzalez-GarciaVBadajoz1:39:09
219Rafael Fernandez-GarciaV40Badajoz1:39:09
220Sergejs KuzminsV50SK MAGNENRezekne1:39:11
221Guntis ZalitisV50KadikiRiga1:39:14
222Lauris VeidemanisVPavasarsRauna1:39:17
223Inga KapinaS40VSK Noskrien VaveresRiga1:39:25
224Dovydas SankauskasVIlginuotolia.itVilnius1:39:33
225Dmitrijs VladimirovskiVAccenture Latvia 2Riga1:39:35
226Jurijs PetrovsVRiga1:39:35
227Maris AdamsonsVLimbazi1:39:39
228Roberts VeicsV1:39:39
229Einars JansonsVMatisons Runner's Club1:39:43
230Irmantas JanusauskasV40Klaipeda1:39:45
"} {"image_path": "images/ad662e915690e5a8e20ddcb50d721958.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
N=0.5N=0.55N=0.6
b2-.45422528E-01-.38968040E-01-.33782968E-01
b4-.93896943E-03-.71528073E-03-.55383920E-03
b6-.29333484E-04-.19762457E-04-.13625970E-04
b8-.10212230E-05-.61174177E-06-.37976331E-06
b10-.32571390E-07-.15272230E-07-.68154668E-08
b12-.26632080E-08-16295955E-08-.10704756E-08
b14.18056575E-09.12786753E-09.87012707E-10
b16-.28231272E-10-.14451828E-10-.76538221E-11
b18.15757373E-11.68602640E-12.31026092E-12
b20-.52250641E-13-.17924799E-13-.65642861E-14
N=0.65N=0.7N=0.75
b2-.29555393E-01-.26064027E-01-.23148142E-01
b4-.43506450E-03-.34618515E-03-.27866320E-03
b6-.95880784E-05-.68691343E-05-.50001745E-05
b8-.24386489E-06-.16180332E-06-.11084967E-06
b10-.25982585E-08-.49000710E-09.53936230E-09
b12-.73863817E-09-.52699073E-09-.38474562E-09
b14.58428823E-10.39167703E-10.26358377E-10
b16-.41745374E-11-.23372262E-11-.13399016E-11
b18.14547181E-12.70543892E-13.35294886E-13
b20-.25461129E-14-.10392118E-14-.44392313E-15
N=0.8N=0.85N=0.9
b2-.20688614E-01-.18595597E-01-.16800269E-01
b4-.22666540E-03-.18612842E-03-.15417217E-03
be-.36914224E-05-.27594496E-05-.20855902E-05
be-.78372720E-07-.57147543E-07-.42933182E-07
b10.10066739E-08.11793231E-08.11990279E-08
b12-.28555767E-09-.21458173E-09-.16284180E-09
b14.17857851E-10.12197761E-10.84054776E-11
b16-.78495751E-12-.46911461E-12-.28558086E-12
b18.18177081E-13.96151501E-14.52137006E-14
b20 -.19755807E-15-.91235472E-16-.43576338E-16
N=0.95N=1.0
b2-.15249192E-01-.13900357E-01
b4-.12872283E-03-.10826568E-03
b6-.15915428E-05-.12247000E-05
be-.33181353E-07-.26327908E-07
b10.11421734E-08.10502769E-08
b12-.12459817E-09-.96022076E-10
b14.58449577E-11.41014285E-11
b16-.17686047E-12-.11129603E-12
b18.28927498E-14.16396096E-14
b20-.21462812E-16-.10873355E-16
"} {"image_path": "images/481d314a1c13f753e44db1aa18cb1cee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableDescription
$ln(\\text{Tobin's }q)_{i,t}$Logarithmic transformed Tobin's q, which was calculated as the ratio of the market value of the firm divided by the replacement value of the assets. Market value of the firm is the sum of the market value of the common equity, market value of the preferred stock and the book value of total liabilities. Replacement value of assets was the book value of total assets
$\\mathrm{FCF}_{i,t}$Free cash flow for firm i at time t, which is a modification of Richardson's(2006) calculation. Adetailed method is presented in Appendix.
R_entropy$_{i,t}$Related entropy for firm i at time t.
U_entropy$_{i,t}$Unrelated entropy for firm i at time t.
$ln(\\mathrm{TDL})_{i,t}$Logarithmic transformed total debt leverage, which is the ratio of the total debt to the book value of total assets.
$\\text{Cashflow}_{i,t}$Cash flow of firm i at time t, which was calculated as followings: [(operating income before depreciation - total income taxes - Change in deferred taxes from the previous year to the current year - gross interest expense - preferred dividend requirements on cumulative preferred stocks and dividends paid on non-cumulative preferred stock - total dollar amountof dividends declared on common stocks)/total assets]
$\\text{Sales\\_GR}_{i,t}$$\\begin{aligned}&\\text{Net sales growth }[(\\text{Net sales}_{i,t}-\\text{net sales}_{i,t-1})/\\text{net}\\\\&\\text{sales}_{i,t-1}]\\end{aligned}$
$ln(Sales)_{i,t}$Logarithmic transformed net sales for firm i at time t.
${Equity\\_Repurchase}_{i,t}$Equity repurchase for firm i at time t, which was calculated as the ratio of purchase of common and preferred stock to total assets.
$\\text{Dummy.Dividend}_{i,t}$One if firm i paid out dividends at time t. Zero if firm i did not pay out dividends at time t.
$\\mathrm{RER}_{i,t}$Ratio of retained earnings divided by total assets for firm i at time t.
PPNE$_{i,t}$Logarithmic transformed fixed asset ratio[Ln(PP&E/total assets)]
$ln(Ad\\_Ex)_{i,t}$Logarithmic transformed advertising expenditure for firm i at time t.
$\\text{QR}_{i,t}$Quick ratio for firm i at time t [(cash and short-term investment + total receivable)/total current liability].
Wcap$_{i,t}$Working capital for firm i at time t, which was calculated as the difference of current assets and current liabilities divided by total assets.
$ln(\\mathrm{Capx})_{i,t}$Logarithmic transformed capital expenditures on property, plant and equipment for firm i at time t.
$\\text{DEP}_{i,t}$Depreciation divided by total assets for firm i at time t.
$\\sum\\mathrm{DY}_{t}$Year dummies.
"} {"image_path": "images/8a370549822e4c3601cd48e351428c4b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
esponsearia leNumber of claims
esponseistri tionnegative binomial
Linlog
Osetlog population
e iance192.3
eg rees o reeom174
arameter$\\hat{\\beta}$se$x^2$p ale
Intercept1-6.9540.1621836.69$<0.0001$
log accidents 10.2540.025100.04 $<0.0001$
k0.1720.020
"} {"image_path": "images/91825e9ff0e896560c7ca8cd7c408e20.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
螺 帽 螺 # 直 徑 (mm)
中 徑外 徑内 徑
螺栓及螺帽的公 差$(\\mu)$最小最大最小最小最大公 差 (μ)
1 級精 度1c 級精 度
411.7401.78121.5301.650120
412.0402.0812.31.8301.950120
432.3082.3512.62.0702.200130
452.6752.72032.4102.550140
503.1103.1603.52.7902.960170
543.5463.60043.1703.370200
584.4804.53854.0504.280230
645.3505.41464.8105.100290200
646.3506.41475.8106.100290200
727.1887.26086.5106.820310250
728.1888.26097.5107.820310250
799.0269.105108.2308.550320250
7910.02610.105119.2309.550320250
8510.86310.948 129.92010.280360250
9112.70112.7921411.62012.000380300
9114.70114.7921613.62014.000380300
101 16.37616.47718 15.020 15.450430300
101 18.37618.47720 17.02017.450430300
101 20.37620.4772219.02019.450430300
11022.05122.1612420.43020.890460350
11025.05125.1612723.43023.890460350
12027.72727.8473025.84026.360520400
12030.72730.8473328.84029.360520400
12833.40233.5303631.24031.800560400
12836.40236.5303934.24034.800560400
13639.07739.2134236.64037.250610450
13642.07742.2134539.64040.250610450
14444.75244.8964842.05042.710660450
14448.75248.8965246.05046.710660450
15052.42852.5785649.45050.150700500
15056.42856.5786053.45054.150700500
15760.10360.2606456.85057.600750500
15764.10364.2606860.85061.600750500
"} {"image_path": "images/d9a44221fee5272f6dffbf8276843d37.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Name# cRFONs# sRFONs# seq-BPs# Effective
TotalEffectiveTotalEffectiveTotalEffectiveInputs/Outputs
SetupHoldSetupHoldSetupHoldSetupHold
s34933303153001212
s7133530411261133
s119613000402260124
s14231619013111340022
s149412632311700022
s53783231202521726821434
s1585091326077116820022
s385842485002052224820044
i2cm7530824490038
ps247821028122520034
wb_dma2704030513281072
usbc3105059124771034
t4005102002613743000266
ac9770160316392430601218
"} {"image_path": "images/4d55c4d2353614b26b041bb11050e760.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学号姓名性别学号姓名性别
1韩立刚1韩立刚
2王景正2王景正
3郭淑丽3郭淑丽
4韩旭4韩旭
5孟小飞5孟小飞
6韩旭6韩旭
4韩旭6韩旭
6韩旭4韩旭
"} {"image_path": "images/412ea345c79ce0eb357f76bfcc78453c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n
药剂稀释倍数处 理 前虫口密度/头 · 片-1处理后虫口减退率(%)校正虫口减退率(%)
第 1d第 3d第 7d第 1d第 3d第 7d
豇 豆茄 子豇豆茄子豇豆茄子豇豆茄子豇豆茄子豇豆茄子豇豆茄子
甲氰菊酯2000102.6449.287.581.177.671.765.147.086.286.177.279.964.962.8
螨死净2000105.0288.487.880.779.177.767.163.386.685.978.784.166.974.2
螨嗪1500128.041759594.486.393.683.987.394.596.486.195.583.891.1
菊酯2000169.0770.492.585.387.690.885.183.391.890.787.493.585.088.3
对照258.5557389-5751.9-40.60.6-424
"} {"image_path": "images/83503f5da7d4efcd167e58bc439ab6cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
3000BC2500BC2000BC1500BC1000BC
Lowpark---5.1-5.1-5.1
"} {"image_path": "images/b1bff85b34fc14f89c90e0da2d042464.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Olefin AOlefin BYield of $\\mathbf{R}_{\\mathbf{A}}\\mathbf{R}_{\\mathbf{B}}\\mathbf{B}\\mathbf{H},^a$mmolOlefin CYield of $\\mathbf{R}_{\\mathbf{A}}\\mathbf{R}_{\\mathbf{B}}\\mathbf{R}_{\\mathbf{C}}\\mathbf{B},^b$mmol
Cy clohexene2-Methyl-2-butene8.0$\\begin{cases}1\\text{-Pentene}\\\\\\text{2-Methyl-1-pentene}\\\\\\text{Cyclopentene}\\end{cases}$5.9
5.6
4.9
Cy clohexene1-Methylcyclopentene6.0$\\begin{cases}1\\text{-Pentene}\\\\\\text{2-Methyl-1-pentene}\\\\\\text{Cyclopentene}\\end{cases}$6.0
6.6
6.0
1-Methylcyclopentene2-Methyl-2-butene7.0$\\begin{cases}1\\text{-Pentene}\\\\\\text{2-Methyl-1-pentene}\\\\\\text{Cyclopentene}\\end{cases}$5.1
4.8
4.9
"} {"image_path": "images/6d7f54f141d81e64cee1ec9c6c7e1aa7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
genotypeNo. of isolates with different MICs (μg/mL)
≤0.12
5
0.250.5124816326
4
12
8
25
6
>25
6
beijing0322481017120206
Non-beijing2211568920025
p value-1.00
0
1.00
0
1.0000.49
9
0.78
0
0.63
5
0.56
3
0.03
9
---0.91
7
"} {"image_path": "images/501a733a8b63e708ecab4fed125edc3d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学习情境五声光控开关的组装与调试
任务11电子整机调试工艺学时
序号检查项目检查标准自查互查教师检查
1训练问题回答问题认真、准确
2调试仪器的选用能正确选择和使用调试仪器,操作规范
3 调试工艺文件的编制 调试工艺文件的基本内容完整,编制规范合理
4电路调试 电路原理分析清楚,调试方法和程序选择正确合理
5 仪器工具的使用情况使用方法正确,仪器工具选择合理
6规范、安全操作安全操作,且符合 6S 标准
检查评价班级第组组长签字
教师签字日期
评语:
"} {"image_path": "images/adde2bf79137ad3c63d94285878ca1d6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TraitsLeptin genotypesp value
AAAGGG
Mean ± SDMean ± SDMean ± SD
MY5.80 ± 0.155.77 ± 0.135.75 ± 0.170.749
%F6.64 ± 0.116.51 ± 0.096.27 ± 0.120.022
%P4.29 ± 0.034.27 ± 0.034.20 ± 0.030.040
FY0.39 ± 0.0110.39 ± 0.0100.35 ± 0.0130.065
PY0.25 ± 0.0070.25 ± 0.0060.24 ± 0.0080.501
FCA37.09 ± 0.7234.93 ± 0.6535.63 ± 0.960.7139
FCI17.23 ± 0.5416.02 ± 0.4416.41 ± 0.670.2384
"} {"image_path": "images/5ddd3f6824eefa25d9039f0d74d63adf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n
proximate analysisultimate analysis
as received,wt % dry,wt %dry ash-free(daf), wt % daf without sulfur, wt %
moisture3.2C77.280.25
fixed carbon52.053.8H5.25.40
volatile matter35.036.1O12.312.79
ash9.810.1N1.51.56
S3.8
"} {"image_path": "images/dd8f2a20e452f44a29265f69ab0254aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Trap(no.)Distance(ft)Releases no. 11 through 16 from July 9 to Aug. 5
Total no. releasedTotal no. recovered$\\%$ recovered
MalcFemaleMaleFemaleMaleFemaleBoth
135680855811141.362.511.83
2660808558540.620.720.66
3607808558513.622.331.32
48258085581681.981.431.76
577980855822.25.36.29
685080855875.87.90.88
7128780855840.50.00.29
813868085581051.24.901.10
9153880855800.00.00.00
10172980855865.74.90.81
11239680855801.00.18.07
12258780855811.12.18.15
13295780855830.37.00.22
14283880855800.00.00.00
15396080855801.00.18.07
17564380855800.00.00.00
18943880855810.12.00.07
Total80855871598.7910.579.52
Releases no. 17 through 20 from Aug. 14 to 25
113243744612162.753.593.59
8a19343744624465.4910.31 7.937.93
10a260437446741.600,901.25
15a35643744618174.123.81 8.968.96
1356576379540.871.06 0.940.94
8a34757637911101.912.64 2.202.20
10a4375763791041.741.061.47
15a13257637935246.086.886.18
Total101382512212512.0415.1513.44
1501291219136.9810.748.80
18027016012104.446.25 5.125.12
15a50188288599131.3831.5931.51
15a804552411065023.8020.7422.41
Total104281018616417.8520.2518.90
"} {"image_path": "images/43144696a1649d62ff9b1caf75c5aedf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Source196119651971
AB(C)AB(C)AB(C)
Philippines
Wages & salaries0.6042(52)0.5943(52)0.5644(51)
Entrepreneurial activities
Farm0.1524( 7)0.2325(12)0.1922( 9)
Nonfarm0.6617(22)0.5514(16)0.5815(18)
Rent0.5511(12)0.5713(15)0.5211(10)
Others0.496( 6)0.575( 6)0.648(10)
Urban
Wages & salaries(—)0.5055(54)0.4155(51)
Entrepreneurial activities
Farm(—)0.095( 1)0.174( 2)
Nonfarm(—)0.5218(19)0.4820(21)
Rent(—)0.6215(19)0.5012(14)
Others(—)0.577( 8)0.5610(12)
Rural
Wages & salaries(—)0.5231(39)0.5635(43)
Entrepreneurial activities
Farm(—)0.3245(35)0.3137(25)
Nonfarm(—)0.5011(14)0.5612(15)
Rent(—)0.3910( 9)0.4010( 8)
Others(—)0.394( 4)0.626( 8)
ManIla and suburbs
Wages & salaries(—)0.4358(51)0.3256(40)
Entrepreneurial activitiesFarm(—)(—)(—)
Nonfarm(—)0.5616(18)0.5819(24)
Rent(—)0.6619(26)0.6815(23)
Others(—)0.387( 5)0.5510(12)
"} {"image_path": "images/a79df6c4172bc1af04b58518d28c329c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Raw M a terialQuantity(Pounds)Per Cent ProteinTotal ProteinStandard Cost Total Standard Cost
TonPound
1-0-50-0-$45$0.0225$0.00
2-0-10-0-300.01500.00
34001560250.01255.00
4160035560400.020032.00
——
2000620$37.00
===
"} {"image_path": "images/9ae4a5420bfa0864918024b0c5097150.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GCE main categories, sub-categories and criteriaWeightings
Technical capabilities0.43
Previous experience0.41
Type of project completed0.19
Size of project completed0.18
Nature of services provided0.17
Specialization0.18
Amount of sub-contracting0.13
Length of time in business0.15
Resources0.43
Number of professional, technical and administrative staff0.18
Qualification of key personnel0.19
Experience of key personnel0.20
Experience of site supervisory staff0.16
Availability of computer facilities0.14
In-house design and cost data0.13
Creative and innovative ability0.16
Approaches to design process0.59
Prize received0.41
Management capabilities0.22
Management staff0.54
Number of management staff0.47
Experience of management staff0.53
Service delivery0.46
Time management system0.23
Amount of time overrun in designing previous projects0.20
Amount of cost overrun in designing previous projects0.19
Amount of claims in designing previous projects0.19
Any disputes between clients and consultants0.19
Financial capabilities0.22
Financial soundness0.52
Financial ratio analysis0.45
Experience of financial management expertise0.55
Professional indemnity insurance0.48
Amount of cover0.35
Length of cover0.35
Any previous claims0.30
Quality attitude0.13
Quality assurance and control
Any quality control scheme0.52
Any adverse audit reports received0.48
"} {"image_path": "images/e8ebc10c7f8872c0140472655c47ca34.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
计息期一次支付等额多次支付
复利终值系数复利现值系数年金终值系数年金现值系数偿债基金系数资金回收系数计息期
NF/PP/FF/AP/AA/FA/PN
11.05000.95241.00000.95241.00001.05001
21.10250.90702.05001.85940.48780.53782
31.15760.86383.15252.72320.31720.36723
41.21550.82274.31013.54600.23200.28204
51.27630.78355.52564.32950.18100.23105
61.34010.74626.80195.07570.14700.19706
71.40710.71078.14205.78640.12280.17287
81.47750.67689.54916.46320.10470.15478
91.55130.644611.02667.10780.09070.14079
101.62890.613912.57797.72170.07950.129510
111.71030.584714.20688.30640.07040.120411
121.79590.556815.91718.86330.06280.112812
131.88560.530317.71309.39360.05650.106513
141.97990.505119.59869.89860.05100.101014
152.07890.481021.578610.37970.04630.096315
162.18290.458123.657510.83780.04230.092316
172.29200.436325.840411.27410.03870.088717
182.40660.415528.132411.68960.03550.085518
192.52700.395730.539012.08530.03270.082719
202.65330.376933.066012.46220.03020.080220
212.78600.358935.719312.82120.02800.078021
222.92530.341838.505213.16300.02600.076022
233.07150.325641.430513.48860.02410.074123
243.22510.310144.502013.79860.02250.072524
253.38640.295347.727114.09390.02100.071025
263.55570.281251.113514.37520.01960.069626
273.73350.267854.669114.64300.01830.068327
283.92010.255158.402614.89810.01710.067128
294.11610.242962.322715.14110.01600.066029
304.32190.231466.438815.37250.01510.065130
355.51600.181390.320316.37420.01110.061135
407.04000.1420120.80017.15910.00830.058340
458.98500.1113159.70017.77410.00630.056345
5011.46740.0872209.34818.25590.00480.054850
5514.63560.0683272.71318.63350.00370.053755
"} {"image_path": "images/b9ffbed450de0538161ebbb6e67f7093.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
動 物$O_2$ 需要量(立方厘米)铃 声 反 应集 羣 性 代 谢 变 化
羣 聚 时 独 在 時無鈴声時有鈴声時
無鈴声時有鈴声時無鈴声時有鈴声時独在時羣聚時独在時羣聚時
小白鼠$\\left\\{ \\begin{matrix} \\\\ \\\\ \\end{matrix} \\right.$公斤/小時·····
%·····
6342
100
5652
-11
8166
100
6810
-17
8166
100
6342
-23
6810
100
5652
-18
尋常田鼠$\\left\\{ \\begin{matrix} \\\\ \\\\ \\end{matrix} \\right.$公斤/小時·····
%·····
846
100
4794
- 6
6282
100
6216
-2
6282
100
5076
-19
6216
100
4794
-23
社会田鼠$\\left\\{ \\begin{matrix} \\\\ \\\\ \\end{matrix} \\right.$公斤/小時·····
%·····
726
100
3894
—11
5646
100
5328
-6
5646
100
4356
-23
5328
100
3894
-27
豚 鼠$\\left\\{ \\begin{matrix} \\\\ \\\\ \\end{matrix} \\right.$公斤/小時·····
%·····
285
100
1620
-6
2184
100
2262
+4
2184
100
1710
-22
2256
100
1620
-29
"} {"image_path": "images/ae425fdf2fbddeeb89b78a70a27c3364.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
复 合 材 料纤维(体积分数)%抗弯强度/MPa弹性模量/GPa 断裂功/$ kJ \\cdot m^{-2} $ 密 度/$ g \\cdot cm^{2} $
$C_f /B_2O_3-SiO_7-Na_2O-Al_2O_3$(单向纤维增强)0100600.004
507001935.0-
$ \\text{C}_f/\\text{LAS}(\\text{Li}_2\\text{O-}\\text{Al}_2\\text{O}_3\\text{-}\\text{SiO}_2) $(单向纤维增强)0150770.003-
506801683.0-
$ \\begin{aligned} & \\mathrm{C}_{\\mathrm{f}} / \\mathrm{SiO}_{2} \\text { 玻璃 } \\\\ & ( \\text { 单向纤维增强 }) \\end{aligned} $051.5-0.009-
50600---7.9-
$ SiC_f / LAS(Li_2 O-Al_{2} O_{3}-SiO_{2} ) $46755138--
$ SiC_f / LAS(Li_2 O-Al_{2} O_{3}-SiO_{2} ) $461380131--
$ SiC_f/SiO_2 $ 玻璃35506102--
$ SiC_f/ B_2O_3-SiO_2-Na_2O-Al_2O_1 $65830290-2.9
3585018518.82.6
$ SiC_f/ Si_3N_1 $307559.45-
$ SiC_f/ SiC $30750-25-
"} {"image_path": "images/ae4480f793fda29f3bac6d719ebb8b71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelOPSDscicmcReferenceSystem
Anc0000[50]Relaxation
Bc0000Diffusion
Cnc1s100[20]Relaxation/diffusion, structural PT
C'nc2s110[20]Relaxation/diffusion, structural PT
Dc1s100[51]Global conservation
Enc1v001[52]Planar magnet h $_z$ = 0
E'n2v012[52]Planar magnet h$_z$ = 0
Fnc1s101[52]Planar magnet h$_z \\neq 0$
Superfluid $^4$He
F'nc2s112[53]Superfluid $^3$He-$^4$He mixture
Gnc1v001[20]Heisenberg antiferromagnet
Hc1v001[52]Gas/liquid
H'c1v + 1s111[52]Binary mixture
Jc0001[54]Heisenberg ferromagnet
DPnc1v001[4]Heisenberg antiferromagnet
SSSnc1t001[24]Structural PT
"} {"image_path": "images/a17223897087357705914540304bd842.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathrm{N}_{2} \\mathrm{H}^{+}\\left(\\tilde{X}^{1} \\Sigma^{+}\\right)$$\\ce{N2D+}\\ (\\tilde{X}^1\\Sigma^+)$
$\\sigma^{+}~(J=0)$$\\pi~(J=1)$$\\sigma^{+}~(J=0)$$\\pi~(J=1)$
$\\left(\\mathrm{v}_{1}, \\mathrm{v}_{2}, \\mathrm{v}_{3}\\right)$Energy Exp.$^b$$\\left(\\mathrm{v}_{1}, \\mathrm{v}_{2}, \\mathrm{v}_{3}\\right)$Energy Exp.$^b$$\\left(\\mathrm{v}_{1}, \\mathrm{v}_{2}, \\mathrm{v}_{3}\\right)$EnergyExp.$\\left(\\mathrm{v}_{1}, \\mathrm{v}_{2}, \\mathrm{v}_{3}\\right)$EnergyExp.
(0,0,0)0.0(0,1,0)684.6$688.373^{*, c}$(0,0,0)0.0(0,1,0)543.0$544.568^{d}$
(0,2,0)1357.91363.337(0,3,0) 2034.92051.359(0,2,0)1079.3(0,3,0)1616.0
(0,0,1)2258.0$2257.873^{*, c}$(0,1,1)2938.6 2946.617(0,0,1)2023.4$2024.0141^{e}$(0,1,1)2569.1
(0,4,0)2700.52726.230(0,5,0)3370.1(0,4,0)2146.1(0,5,0)2676.8
(1,0,0)3231.5$3233.958^{*, c}$(1,1,0)3892.8$3898.680^{*, c}$(1,0,0)2634.9$2636.983^{f}$(1,1,0)3158.9$3163.242^f$
(0,2,1)3607.93621.969(0,3,1)4280.64310.339(0,2,1)3107.8(0,3,1)3646.5
(0,6,0)4028.4(0,7,0)4690.9(0,6,0)3201.1(0,7,0)3726.2
(0,0,2)4492.64516.256(0,1,2)5168.7 5205.415 (1,2,0)3676.6(1,3,0)4194.6
(1,2,0)4543.54553.011(1,3,0)5197.75213.796(0,0,2) 4026.4(0,1,2)4574.4
(0,4,1)4941.9(0,5,1)5606.9(0,4,1) 4178.3(0,5,1)4710.2
(0,8,0)5342.1(0,9,0)5997.7(0,8,0) 4245.2(0,9,0)4765.4
(1,0,1)5468.0$5469.254^{*, c}$(1,1,1)6126.05935.154(1,0,1)4610.8(1,1,1)5137.4
(1,4,0)5833.15864.538(1,5,0)6488.0(1,4,0)4706.5(1,5,0)5219.0
(0,2,2)5841.85881.165(0,3,2)6502.3(0,2,2) 5115.2(0,3,2)5655.8
(0,6,1)6260.5(0,7,1)6918.0(2,0,0)5231.0(2,1,0)5736.4
(2,0,0)6336.9$6336.679^{*, c}$(2,1,0)6974.8$6977.265^{*, c}$(0,6,1)5234.9(0,7,1)5759.3
(0,10,0)6642.0(0,10,0)5280.0(0,11,0)5796.5
(0,0,3)6703.56775.027(1,2,1)5657.4(1,3,1)6177.5
(1,2,1)6773.46787.532(1,6,0)5725.5
(1,6,0)7125.0(0,0,3)6008.0
(0,4,2)7158.8(0,4,2)6189.3
(2,0,1)8546.58543.163$^{*, c}$(0,4,2)6189.3
"} {"image_path": "images/f7679bf627ee38a44626e99f0866e314.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
F0123
$E_i$$O_i$401.8839880.387480.388296.4599
F4567
$E_i$$O_i$96.45101112.53108115.7411651.4463
F891011
$E_i$$O_i$38.584341.803526.362826.3631
F121314≥15
$E_i$$O_i$10.9397.7265.1447.873
"} {"image_path": "images/bea0fca446a1a6692346d0d34fa762a3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
種類亜鉛およびカドミウムメッキ重量(g/10cm²)クロメート処理(g/l)クロメート液の重量法(g/10cm²)#クロメート後の重量法よりの厚サ μ#クロメート後の本法よりの厚サ μ#/#×100%溶解時間
亜鉛メッキ0.0512CrO₃ 250g/l、HCl 2cc/l0.04005.605.5198.42min 30s
0.0495CrO₃ 250g/l、HCl 5cc/l0.03825.355.1997.02min 45s
0.0411CrO₃ 250g/l、HCl 12cc/l0.02763.863.8098.53min 15s
0.0325CrO₃ 250g/l、HCl 20cc/l0.01742.442.4098.44min 15s
0.0521CrO₃ 250g/l、HCl 40cc/l0.03985.575.4898.44min 30s
0.0543CrO₃ 250g/l、HCl 50cc/l0.03925.485.3798.04min
カッドキミウムメ0.0239CrO₃ 250g/l、H₂SO₄ 2g/l0.01411.641.65100.630s
0.0443\"0.03303.843.87100.71min
0.0699\"0.05956.906.91100.21min 30s
0.1075\"0.094110.9211.05101.21min 45s
"} {"image_path": "images/b1289455a06ff5990eda79b8892238d7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
OrgansROM (%)Portion of CO (%)
birch mouse volehamsterbirch mousevolehamst er
8.4 g8.5 g32 g25 g700 g820 g
Brain3.44.61.51.61.21.2- -- -- -
Lung0.90.90.61.80.70.76.9 5.510.6 3.61.6 3.8
Heart0.81.20.61.50.40.44.2 3.74.2 4.11.8 3.0
Stomach1.51.91.11.31.31.21.9 2.11.8 1.51.2 1.2
Small intestine5.44.23.43.12.83.310.6 7.313.8 5.911.9 17.1
Liver
arterial5.85.23.65.65.63.811.6 7.910.0 7.05.1 6.5
the whole------25.8 17.927.1 14.818.7 25.2
Kidney1.81.91.11.80.80.86.6 6.96.2 9.127.3 19.7
Autonomous organs17.617.411.315.313.011.234.6 28.735.1 26.550.6 50.0
Adipose tissue6.65.810.312.623.024.33.1 4.55.6 5.25.0 3.7
Skin19.027.920.617.117.116.86.2 12.012.6 6.74.4 7.4
Skeletal muscle34.929.736.228.027.226.935.4 36.815.5 26.721.9 18.7
Skeleton with bone marrow12.07.413.916.711.713.73.6 3.811.4 22.29.7 8.4
$\\sum9-11$65.765.070.761.856.057.445.2 52.639.5 55.636.0 34.5
"} {"image_path": "images/a5fed2fc5cc91b5837fed74422220794.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Discharge power (W)ElementPosition (eV)AssignmentArea (%)
70C1s-284.98C-C, C-H94.48
C1s-286.7C-O0.54
C1s-287.7$\\mathrm{C}=\\mathrm{O}$4.98
C1s-285.04C-C, C-H83.85
100C1s-285.99C-O5.79
C1s-287.82$\\mathrm{C}=\\mathrm{O}$10.36
C1s-285.09C-C, C-H83.64
110C1s-286.68C-O2.79
C1s-287.58C=O13.57
"} {"image_path": "images/4a09d11fea2da42203f4763eea08688f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
语法表达形式例句课数
……完 了,……尽(名+)切れ期限切れ、在庫切れ、時間切れ3
动作完成(名+)済み解決済み、決済済み、確認済み3
一……就……(動ます形+)次第試験の結果がわかり次第、ご連絡します。3
对某事倾注某种情感~を込めて日ごろの感謝の気持ちを込めて、母の誕生日に手紙を書 いた。4
~を込めた+名当店は心を込めた商品を通じて、お客様に満足をお届け したいと思っております。
没做或没能做某事的状态~ないでいる転職のことはまだ両親に話さないでいる。4
不用做某事就解决了问题或避免某事的发生~なくて済む図書館からその本を借りたので、買わなくて済んだ。4
~ ないで済む取引先の担当者と電話で話しがついたから、#接行かないで済んだ。
~ずに済む事故に遭ったが、大事に至らずに済んだのは何よりだ。
交换条件一と#き#えに自分の命と#き#えに、子どもが助かるなら、わたしは死んでもいい。4
前后两项对比~に#き#え活発な姉に#き#え、妹は内気でおとなしい。
感叹何と~だろう何とかわいい子犬だろう。4
意外、惊讶何と社長は何と20歳の女性だった。4
说明原因なぜなら〜からだなぜなら私は、努力をすることこそが人間の幸せだと考 えているからである。4
重新做某事(動ます形+)#す書き#す、やり#す、見#す4
"} {"image_path": "images/8b09af37ec2a36abe75c821810048919.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
元素符号颜色比重熔点 C硬度与各种酸的反应
盐酸硝酸硫酸王水
金 Au金黄色19.310632.5不反应不反应不反应反应
银 Ag银白色10.5960.82.5反应反应
铜 Cu紫红色8.9210833
铁 Fe银白色7.8715394.5反应稀反应稀反应
锡 Sn白带黄6231.92反应反应
铅 Pb灰铅色11.34327.41.5不反应反应不反应
锌 Zn蓝白色7.14419.52.5反应反应反应
镍 Ni银白色8.914533.8稀反应稀反应稀反应
铬 Cr银白色7.118759稀反应不反应稀反应
铝 Al银白色2.76603反应稀反应反应
铂 Pt银白色21.451769.34.5不反应不反应加热微反应
铱 Ir银白色22.424546.5不反应不反应不反应
锇Os蓝灰色22.4827277不反应不反应不反应
"} {"image_path": "images/0bf7174bd5c8eadfc305ff1b80402518.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间
任务
第 19 天第 20 天第 21 天
政治计划
任务 A: 核心考点与批注掌握
任务 B: 试题检测
任务 C: 考点回顾检测
任务 A
1. 商品价值量和劳动生产率的关系
2. 价值规律的内容和作用
3. 价值形式发展的四个阶段与货币的职能
4. 劳动价值论的理论和实践意义
任务 A
1. 资本主义生产方式
2. 资本原始积累
3. 劳动力成为商品与货币转化为资本
4. 资本主义所有制及其本质
任务 A
1. 资本主义生产过程的两重性
2. 剩余价值的实质
3. 资本的本质
4. 不变资本和可变资本的区分标准
5. 剩余价值率的计算方法
政治学习提示1. 第 1 天的任务是重点掌握价值规律这个知识点。
2. 第 2 天的是任务是重点掌握资本主义生产方式的相关知识点。
3. 第 3 天的任务是最重要的,要熟练掌握剩余价值率的计算方法。
任务效果检测最佳 效 率 为 100%(差距为最佳效率减去实际效率)任务 B: 试题检测单选题:正确率应该为80%以上实际正确率 : ____差距 (应提升) :____
多选题:正确率应该为70%以上实际正确率 : ____差距 (应提升) : ____
任务 C: 考点回顾检测量: 1.5小时内完成一天的学习任务实际效率 : ____差距 (应提升) : ____
质: 能简要、专业地回答出本计划考点回顾中的问题所表述的基本问题的关键词、句。实际效率 : ____差距 (应提升) : _____
政治所用资料《2017考研政治百天辅导教程》
答疑方式官方微博: 新浪微博@芦欣老师
"} {"image_path": "images/2cd616c5e5085d9217b2b41bf9447163.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FY2005FY 2004FY 2003FY 2002FY.2001FY 2000FY 1999FY 1998
17,906 - CHINA (mainland)7,044 - CHINA (mainland)6,859 - CHINA (mainland)5,053 - CHINA (mainland)4,681 - CHINA (mainland)5,053-CHINA4.348 - RUSSIA4.491 - RUSSIA
24,639 - RUSSIA5,865 - RUSSIA5,209 - RUSSIA4,939 - RUSSIA4,279 - RUSSIA4,269 - RUSSIA4,101 - CHINA4,206 - CHINA
33,783 - GUATEMALA3,264 - GUATEMALA2,328 - GUATEMALA2,219 - GUATEMALA1,870 - S - KOREA1,794 - S - KOREA2,008 · S - KOREA1,829 - S - KOREA
41,630 - S. KOREA1,716 - S. KOREA1,790 - S - KOREA1,779 - S - KOREA1,609-GUATEMALA1,518 - GUATEMALA1,002 - GUATEMALA911 - GUATEMALA
5821 - UKRAINE826-KAZAKHSTAN825-KAZAKHSTAN1,106-UKRAINE1,246-UKRAINE1,122 - ROMANIA895-ROMANIA603-VIETNAM
6755 - KAZAKHSTAN723 - UKRAINE702 - UKRAINE819-KAZAKHSTAN782-ROMANIA724 - VIETNAM709 - VIETNAM478 - INDIA
7441-ETHIOPIA406-INDIA472 - INDIA766-VIETNAM737 - VIETNAM659-UKRAINE500-INDIA406 - ROMÂNIA
8323 - INDIA356 - HAITI382 - VIETNAM466-INDIA672-KAZAKHSTAN503-INDIA323 - UKRAINE351- COLOMBIA
9291- COLOMBIA289 - ETHIOPIA272- COLOMBIA334- COLOMBIA543-INDIA402 - CAMBODIA248-CAMBODIA249-CAMBODIA
10271 - PHILIPPINES287- COLOMBIA250 - HAITI260 - BULGARIA407 - COLOMBIA399 - KAZAKHSTAN231- COLOMBIA200 - PHILIPPINES
11231 - HAITI202 - BELARUS214- PHILIPPINES254-CAMBODIA297 - BULGARIA246-COLOMBIA221 - BULGARIA180 - UKRAINE
12182- LIBERIA196 - PHILIPPINES200 - ROMANIA221 - PHILIPPINES266-CAMBODIA214 - BULGARIA195 - PHILIPPINES168 - MEXICO
13141-CHINA (TAIWAN BORN)110 - BULGARIA198 - BULGARIA187 - HAITI219 - PHILIPPINES173 - PHILIPPINES151 - BULGARIA
1498-MEXICO102 - POLAND191 - BELARUS169 - BELARUS192 - HAITI131 - HAITI140- DOMIN REP
1573 - POLAND ANDTHAILAND (BOTH 73)89 - MEXICO135 - ETHIOPIA168 - ROMANIA158-ETHIOPIA106 - MEXICO121 - HAITI
1666 - BRAZIL86- LIBERIA124-CAMBODIA105 - ETHIOPIA129 - BELARUS95-ETHIOPIA103 - BRAZIL
1765 - NIGERIA73 - NEPAL97 - POLAND101 - POLAND86 - POLAND88-THAILAND96 - ETHIOPIA
1863 - JAMAICA71-NIGERIA72-THAILAND67-THAILAND74-THAILAND83- POLAND84·THAILAND
1962-NEPAL69 - THAILAND and BRAZIL (both 69)62 - AZERBAIJAN65 - PERU73 - MEXICO79 - MOLDOVA77-POLAND
2054 - MOLDOVA57 - ROMANIA61 - MEXICO61 - MEXICO51 - JAMAICA andLIBERIA (both 51)60 - BOLIVIA76-LATVIA
"} {"image_path": "images/98a3f49add7cd90758f1bf4c72f85c70.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Description %
Accuracy
Computer
Interface
MaximumResponse
Time
(ms)
Approx.
Cost $
Development Set99+Intel Multibus*5004,900
Transaction Board99+Intel Multibus*5002,900
8 chip Set99+Intel Multibus*500600
Full System with CRT99+RS 232C1255.300
Speech System99+RS 232C1502000
DEC VT100 Module99+DEC VT100 Board1501300
ADM3A, ADM5 Module99+Board Single1252000
Q Bus$^a$ Module99+Plug-in Board1252000
Multibus$^a$ Module99+Plug-in Board1252000.
2 chip Set99+MC68B03uP150385.
28 pin Chip90TTL I O20019. in 1000 ea.
Speech Recognizer?RS-232C: GP1B30012000.
Voice In Terminal99+RS-232C300
3 chip Set98+TTL1O500
Voice Entry Unit98Apple II?795
Voice Entry Unit98Apple II, II +?995.
Learning SoftwareApple/VET?895.
Hard Software Pkg(Spreadsheet)?IBM PC?995.
Voice Entry Terminal99RS 232C?12000
Voice Entry Terminal99RS-232C?14000.
TeleVideo Board99TeleVideo 950?1300
Voice Input Unit99RS-232C: GP1B3001500
Voice Input Unit99HP Series 80 Computers3001500
Voice PC Board99 RS.232C4301500
TMS320 RecognitionBoard99T.I.P.C.IBM P.C.3002600
Voice Entry Terminal99+RS 232C30017.900
Voice Input Module98+Apple II, II +150850
Voice Input Module98+Apple Ile150920
Voice Medical System98+Contained19,500.
99+
Voice Identifier99+
99+4,200
Development System99+5.000.
99+8,500.
99+
Voice System Computer99+IBM PC10.000
Demo Kit90+TTLIO?450.
1-chip Recognizer90+TTLIO?195.
"} {"image_path": "images/fb943974d524cfc3eacfc92355527263.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
198019811982ChangeAnnual rate of change
1980 to19811981 to19821973 to19821978 to1982
....million c.m..... . . . . . . .%. . . . . . . .. . . . . . . .
ROUNDWOOD2 9702 9772 9590.2-0.60.51.1
Total developing countries1 6251 6331 659 0.51.62.41.9
Total developed countries1 3461 3431 300-0.2-3.20.7-
$\\underline{Fuelwood and charcoal}$1 5301 5721 6012.71.82.63.1
Total developing countries1 2981 3231 3511.92.12.22.2
Total developed countries2322492507.10.45.48.2
$\\underline{Industrial roundwood}$1 4401 4051 358-2.4-3.40.6-1.1
Total developing countries327311308-4.9-0.83.50.7
Total developed countries1 1131 0951 050-1.7-4.1-0.1-1.6
PROCESSED WOOD PRODUCTS
$\\underline{Sawnwood and sleepers}$440428408-2.8-4.7-0.1-2.6
Total developing countries8895918.6-4.75.63.5
Total developed countries352333318-5.6-4.4-1.3-4.0
$\\underline{Wood-based panels}$1019994-1.9-5.31.2-2.7
Total developing countries1415152.84.87.13.7
Total developed countries878579-2.5-7.10.4-3.7
.....million m.t......
$\\underline{Pulp for paper}$1301311250.5-4.41.60.4
Total developing countries151516-1.37.35.6
Total developed countries1151151090.5-5.11.0-0.3
$\\underline{Paper and paperboard}$1721731650.1-4.12.41.0
Total developing countries191819-5.3-6.16.74.2
Total developing countries1531541460.1-4.82.00.6
"} {"image_path": "images/35a05e484d0ca302734fae92251d6c4d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
韵 類u i
韵 值U I
調 類上V陰 去」
十 五 音 韵 母$规_鬼$$規_季$
韵 播
廣 韵 韵 目贿
等 呼合三合三合一合三合二合三合四合三開三合一合四台三
bP
P$P^4$
bbb
mm
di
1$t^4$退 ·
nn
ll
gk
k$k^4$
gg9
$\\eta $
$?, \\bigcirc$
hh 雁 悱带 费
tzts
t#
ists#
t##
SS
dz$d_z$
"} {"image_path": "images/87a9d4777c33e402fb70290f5ca283de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Working fluidsOptimal solutionDecision makingsDesign variablesObjectives
$T_{\\mathrm{E}}(\\mathrm{K})$$T_{\\mathrm{C}}(\\mathrm{K})$$\\Delta T_{\\mathrm{sup}}(\\mathrm{K})$$\\Delta T_{\\mathrm{pp},\\mathrm{E}}(\\mathrm{K})$$\\dot{\\eta}_{\\mathrm{ex}}(\\%)$LEC ($/kW h)
R245faNAGA-IITOPSIS (point B)362.07303.003.123.0053.180.188
Max $\\dot{\\eta}_{\\mathrm{ex}}$Point C370.00303.003.003.0254.680.219
Min LECPoint A348.86303.005.615.7847.190.174
R227eaNAGA-IITOPSIS (point B')369.99303.003.003.3054.030.190
Max $\\dot{\\eta}_{\\mathrm{ex}}$Point C'370.00303.003.003.0054.360.191
Min LECPoint A'369.86303.003.013.7653.530.189
"} {"image_path": "images/a39a5054a66c610861e91f74c2e4c0cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
证券代码变动前的证券简称变动后的证券简称变动类型变动公布日期变动原因编码变动原因执行日期ST 次数/是否符合条件地域行业上市时间
000925ST 海纳浙江海纳BA2009—06—0409恢复上级状态2009—06—05浙江专用设备制造业1999—06—11
000925$S * ST$ 海纳SST 海纳DB2008—12—2409恢复上级状态2008—12—25
000925浙江海纳$* ST$ 海纳AD2006—04—2801两年亏损2006—05—08
000928ST 吉炭中钢吉炭BA2009—05—1809恢复上级状态2009—05—19吉林非金属矿物制品业1999—03—12
000928$* ST$ 吉炭ST 吉炭DB2007—05—3109恢复上级状态2007—06—04
000928吉林炭素$* ST$ 吉炭AD2006—04—2501两年亏损2006—04—26
000967$* ST$ 上风上风高科DA2007—08—2309恢复上级状态2007—08—24符合条件一年浙江普通机械制造业2000—03—30
000967上风高科$* ST$ 上风AD2006—04—1301两年亏损2006—04—17
000979$* ST$ 科苑科苑集团DA2010—03—1609恢复上级状态2010—03—17北京房地产2000—06—16
000979ST 科苑$* ST$ 科苑BD2009—02—1301两年亏损2009—02—16
000979$* ST$ 科苑ST 科苑DB2007—04—1009恢复上级状态2007—04—13
000979科苑集团$* ST$ 科苑AD2006—04—1101两年亏损2006—04—14
600076$* ST$ 华光ST 华光DB2010—06—0809恢复上级状态2010—06—09潍坊通信及相关设备制造业1997—05—26
600076ST 华光$* ST$ 华光BD2009—03—1601两年亏损2009—03—17
600076$* ST$ 华光ST 华光DB2007—06—2609恢复上级状态2007—06—27
"} {"image_path": "images/31079375d069eda933bfe6c8a80cbfdb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DielectricMethodfor Ptdeposited$\\Phi_{\\text{MS}}$$Q_{\\text{f}}$$(10^{12}\\ \\text{cm}^{-2})$$\\phi_{\\text{M}}$$(\\text{eV})$Lit. $(\\mathrm{eV})$
$\\mathrm{Al}_2\\mathrm{O}_3$ALD0.242.05.22(Kamimutaet al [18])5.3
PVD0.131.85.11
$ZrO_{2}$ALD-0.262.94.76(Yeo et al [19])4.9
PVD-0.433.04.59
$SiO_{2}$ALD0.540.455.52(Yeo et al [19])5.5
"} {"image_path": "images/bf86b25cb13079eae2b87d751be9a140.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Day 1Log(1+Return)(%) 2Log -Average (%) 3SquaredDifference $(\\%)$
11.000.730.0053
21.491.220.0149
32.081.810.0327
4-0.40-0.670.0045
51.000.730.0053
6-1.41-1.680.0282
70.450.180.0003
8-0.75-1.020.0104
91.000.730.0053
101.391.120.0126
11-2.02-2.29 0.0524
121.000.73 0.0053
13-1.51-1.78 0.0317
140.350.080.0001
15-0.30-0.570.0032
161.000.730.0053
170.00-0.270.0007
18-0.60-0.870.0076
19-1.21-1.480.0218
202.862.590.0671
Average $(\\%)$0.270.0166
Square Root $(\\%)$1.2867
Annualized20.75
Standard
Deviation $(\\%)$
"} {"image_path": "images/57057088edea9eea5ca0b4eaff528840.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年份n$ \\begin{array}{l}\\text { 一次支付 } \\\\ \\text { 终值系数 } \\\\ (1+i)^{*} \\\\ (F / P, i, n)\\end{array} $一次支付现值系数$\\frac{1}{(1+i)^n}$$(P/F, i, n)$$\\text{ 等额系列}$$终值系数$$\\left(1+i\\right)^{\\prime\\prime}-1$偿债基金系数i$ \\begin{array}{l}\\text { 资金回收 } \\\\ \\text { 系数 } \\\\ i(1+i)^{n}\\end{array} $$\\begin{array}{l}\\text{等额系列}\\\\\\text{现值系数}\\\\(1+i)^*-1\\end{array}$
$i$$(F/A, i, n)$$(1+i)^n - 1$$(A/F, i, n)$$(1+i)^n - 1$$(A/P, i, n)$${i(1+i)^n}$$(P/A, i, n)$
123456
11.1200.89281.0001.000001.120000.893
21.2540.79722.1200.471700.591701.690
31.4050.71183.3740.296350.416352.402
41.5740.63554.7790.209230.329233.037
51.7620.56746.3530.157410.277413.605
61.9740.50668.1150.123230.243234.111
72.2110.452310.0890.099120.219124.564
82.4760.403912.3000.081300.201304.968
92.7730.360614.7760.067680.187685.328
103.1060.322017.5490.056980.176985.650
113.4790.287520.6550.048420.168425.938
123.8960.256724.1330.041440.161446.194
134.3630.229228.0290.035680.155686.424
144.8870.204632.3930.030870.150876.628
155.4740.182737.2800.026820.146826.811
166.1300.163142.7530.023390.143396.974
176.8660.145648.8840.020460.140467.120
187.6900.130055.7500.017940.137947.250
198.6130.116163.4400.015760.135767.366
209.6460.103772.0520.013880.133887.469
2110.8040.092681.6990.012240.132247.562
2212.1000.082692.5030.010810.130817.645
2313.5520.0738104.6030.009560.129567.718
2415.1790.0659118.1550.008460.128467.784
2517.0000.0588133.3340.007500.127507.843
2619.0400.0525150.3340.006650.126657.896
2721.3250.0469169.3740.005900.125907.943
2823.8840.0419190.6990.005240.125247.984
2926.7500.0374214.5830.004660.124668.022
3029.9600.0334241.3330.004140.124148.055
"} {"image_path": "images/82c63d9c9a3b61c6db996449b8af1892.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
set ofaL
$\\{P_{n}^{~~c}\\}$ei ei + eeeiei + eeeiei + ee
n$c = e$c = ec = ec = ec = e c = e,ic = ec = e,i
00.29920.2992
0,20.97240.57811,15380.80400.59710.84810.69360.7411
0,2,41.01450.58341.52070.71103.67813.92391.62151.6774
0,2,4,61.01570.58751.50170.71393.98894.23311.61141.6670
0,2,4,6,81.01580.5892 1.50030.70934.00004.20541.61401.6695
SPITZER [7]1.01590.5908 1.50000.70334.00001.5966
relaxat. time app. [24]1.01591.50004.0000
GRAD 13-mo-ments app.[17,18]0.9720.5781.1540,8043.6781.621
APPEL 1st [19]0.9720.5771.150.813.841.64
APPEL 2nd1.0140.5801.520.72
"} {"image_path": "images/82a7d8c2f50d1ca6a30d96a3735b0371.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1M'M-Coccupancyhybrids
1Ti’Ti-C1/C292.6%$\\text{Cl (55.7\\%, sp}^{2.82}\\text{); Ti (39.6\\%, sd}^{23.1}\\text{)}$
C1-C297.5%$\\text{Cl (48.8\\%, sp}^{2.16}\\text{); C2 (48.8\\%, sp}^{2.16}\\text{)}$
C1-C288.8%$\\mathrm{Cl}(44.4 \\%$, p); $\\mathrm{C} 2(44.4 \\%$, p); Ti $(10.8 \\%, \\mathrm{d})$
1Zr'Zr-C1/C294.8%Cl (68.1%, sp $\\left.{ }^{2.39}\\right) ; \\mathrm{Zr}\\left(28.3 \\%, \\mathrm{sd}{ }^{14.4}\\right)$
C1-C297.8%C1((48.9%, sp $\\left.{ }^{2.39}\\right) ; \\mathrm{C2}\\left(48.9 \\%, \\mathrm{sd}{ }^{2.23}\\right)$
C1-C289.6%C1 $(44.8 \\%$, p); $\\mathrm{C} 2(44.8 \\%$, p); Zr $(10.2 \\%$, d)
1Hf'Hf-C1/C295.7%C1 $\\left(72.3 \\%, \\mathrm{sp}^{2.23}\\right) ; \\mathrm{Hf}\\left(24.5 \\%, \\mathrm{sd}^{8.97}\\right)$
C1-C297.2%$ C1(48.6\\%,\\mathrm{sp}^{2.26}); C2(48.6\\%,\\mathrm{sp}^{2.23}) $
C1-C289.7%C1 $(44.8\\%, \\mathrm{p}) ; \\mathrm{C} 2(44.8 \\%, \\mathrm{p}) ; \\mathrm{Hf}(10.1 \\%, \\mathrm{d})$
$\\mathrm{Cp}_{2} \\mathrm{Ti}\\left(\\mathrm{CH}_{3}\\right)_{2}$Ti-C1/C298.3% $ Cl(62.5\\%,\\mathrm{sp}^{3.04});\\mathrm{Ti}(36.2\\%,\\mathrm{sd}^{14.04}) $
$ \\mathrm{Cp}_{2} \\mathrm{Zr}\\left(\\mathrm{CH}_{3}\\right)_{2} $Zr-C1/C298.4%$ Cl\\left(75.1\\%,\\mathrm{sp}^{2.59}\\right);\\mathrm{Zr}\\left(23.9\\%,\\mathrm{sd}^{8.07}\\right) $
$\\mathrm{Cp}_{2} \\mathrm{Hf}\\left(\\mathrm{CH}_{3}\\right)_{2}$Hf-C1/C298.6%C1 $\\left(79.0 \\%, \\mathrm{sp}^{2.36}\\right) ; \\mathrm{Hf}\\left(19.8 \\%, \\mathrm{sd}^{5.72}\\right)$
"} {"image_path": "images/420ea3955ef40b26166dbf5301624eb3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
施 用 量 (吨)- 农药使用量(吨)塑料薄膜使用量(吨)
磷 肥钾 肥复合肥平均亩施化肥 (公斤)
2906.51061.91400276223.8202.9
1761921188103177
16714363810511.16
175721323.61108.67.1
215438972.65.1
9813171858.130.7
353.8120.4875949.77.9
382.51725971194.827.7
9661038.57.5
1247198204123
3022.5670741115
2912310515910.82
96265684110.87.3
2.214166263.81.2
1365812568426.925
38164437116.82.1
26042663845.62.5
235306411078.75.2
837.58511
1525238706.56.5
171538411
1110.1
519.142.50.1
351.5350.26.7
5425.180.5
0.11.4
10.1
0.50.7
8417548.538729.31.6
1005090.03355
"} {"image_path": "images/6f4f2426bc6f01e6510c33ac31d63ca4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
合計用信
合用
作運
聯銷
合消
會費
 利
合信
作用
聯消
合費
會利
 用
合信
作用
聯運
合銷
會利
 用
合信
作用
聯運
合銷
會消
 費
作信
聯用
合利
會用
 合
作信
聯用
合消
會費
 合
一三|||
七二||一三|一〇
一五五|| 三〇|一五
二〇一二三一七
二〇五二三一四
二〇〇二二一二
一八七|一九一二
一八二|一五一一
一七九|一四
"} {"image_path": "images/91cdfcc3a8a63bad3b23616a343c1531.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TransitionObservedCalculated +quadrupole shifts(standard dev.)Relative intensity
$J'$$K_a{}'$$K_c{}'$ $J''$$K_a{}''$$K_c{}''$
F' = 



16F'' = 



1628 060.770.117 (2)0.353
151528 060.39-0.258 (4)0.331
141428 060.770.142 (2)0.310
161151611631 798.387 (17)
F' = 



17F'' = 



1731 798.520.118 (2)0.352
161631 798.15-0.258 (4)0.331
151531 798.520.141 (2)0.312
1311314014204 827.236204 827.248 (14)
1411415015182 849.512182 849.547 (12)
1511516016160 764.694 (11)
1611617017138 573.857138 573.843 (10)
1711718018116 278.174116 278.212 (9)
181181901993 879.12093 879.084 (10)
191192002071 377.807 (10)
201202102148 775.793 (11)
211212202226 074.4926 074.517 (12)
22122230233 275.520 (14)
240242312319 619.5819 619.597 (15)
250252412442 609.168 (16)
260262512565 691.469 (17)
270272612688 864.5688 864.708 (17)
2802827127112 127.039 (16)
2902928128135 476.553 (15)
3003029129158 911.284 (14)
3103130130182 429.187182 429.206 (14)
3203231131206 028.254206 028.237 (17)
"} {"image_path": "images/0a62fc2b1ddee26b0f7a366903535caa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日本画、油画、雕刻、工艺 研究领域
授业科目年级学分
必修科目创作综合研究1年级2年级3年级小计中计合计
造型构成特别研究224810
选修科目造型论特别研习224
材料技法特别研习222
美学艺术学特殊讲义22
日本美术史特殊讲义22
东洋美术史特殊讲义22
西洋美术史特殊讲义22
工艺史特殊讲义22
素描史特殊讲义22
建筑史特殊讲义22
美术教育特殊讲义22
美术解剖学特殊讲义22
色彩学特殊讲义22
图学特殊讲义22
研究领域特别研究指导1年级—3年级
"} {"image_path": "images/7b50b624991347a806f041bdc68f2e55.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
kpv251011121314151618202530354050
14910111213141517192429343949
153.013.874.334.394.444.484.534.564.594.654.724.794.914.965.005.08
163.003.824.284.334.394.434.474.504.534.594.664.744.854.904.955.04
172.983.794.244.294.344.394.424.464.504.554.614.704.804.854.915.00
182.973.774.214.264.314.354.394.434.464.514.574.664.764.824.884.97
192.963.754.184.234.284.324.364.404.434.494.544.644.734.794.854.94
202.953.744.164.214.264.304.344.384.414.464.524.614.704.774.834.91
242.923.694.104.154.204.234.274.314.344.394.444.544.634.694.754.84
302.893.644.044.084.134.174.204.244.274.324.374.474.554.614.674.76
362.873.614.004.044.094.124.164.194.224.284.324.424.504.564.624.70
402.863.603.984.024.074.104.144.174.204.254.304.404.474.534.594.67
482.843.573.953.994.034.074.114.144.174.224.26 4.364.434.494.554.63
602.833.553.923.964.004.044.074.104.134.184.234.324.394.464.514.59
802.813.523.893.933.974.014.044.074.104.154.194.284.364.424.474.55
1002.813.513.873.913.953.994.024.054.084.134.174.264.334.394.444.53
1202.803.503.863.903.943.984.014.044.074.114.164.254.324.384.434.51
3602.783.473.823.863.903.933.973.994.024.074.114.204.274.334.374.45
2.773.453.803.843.883.913.953.974.004.054.094.184.244.304.354.43
"} {"image_path": "images/65103d3c01e79fecd05599e5589aa1f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Error No.(k)Actual Failure Time(Days)$~~~~~~(x_{k})$Estimated Failure Time (Days), $\\hat{x}_{k}$
(Based on 26 observations)
NHPPJelinski-MorandaModel
195.24.7
2125.34.8
3115.55.0
445.75.2
575.95.4
626.15.6
756.35.8
886.56.0
956.86.3
1077.16.6
1117.46.9
1267.77.2
1318.07.6
1498.48.0
1548.98.5
1619.39.0
1739.99.6
18310.510.3
19611.111.1
20111.912.0
211112.813.0
223313.814.3
23715.015.9
249116.517.8
25218.220.3
26120.323.5
278723.128.1
284726.734.8
291231.545.6
30938.566.4
3113550.0121.7
Total No.of Errors (34)$\\hat{a} = 34$$\\hat{N} = 31.2$
Failure Rate $\\hat{b}=0.00579$ $\\hat{\\varphi}=0.00685$
No. of Remaining Errors (8)$\\hat{a}-26=8$$\\hat{N}-26=5.2$
"} {"image_path": "images/5cd85e22616dd35a8e44208c00ffdf8b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
hkl$d_{obsd}$$d_{calcd}$$I/I_{0}$hkl$d_{obsd}$$d_{calcd}$$I/I_{0}$
1115.3315.335105311.56291.56185
2004.6154.62010442,6001.54181.540010
2104.1374.132306101.52071.51905
2113.7763.77235532, 6111.49961.498920
2203.2673.267156201.46171.46105
2213.0773.08030443, 621 1.44251.44305
3112.7872.786100504
2222.6642.667255411.42621.42585
3022.5622.563305331.40901.409110
3212.4692.469356221.39251.39305
4002.3092.31010630, 5421.37731.377410
322, 410 2.2382.241106311.36281.362410
4112.1772.17854441.33461.3337$\\simeq0$
3312.1212.120106321.32191.3200$\\simeq0$
4202.0652.066305431.30621.3067$\\simeq0$
4212.0172.01665711, 5511.29371.2939$\\simeq0$
3321.96691.9700256401.28201.2814$\\simeq0$
4221.88461.886120702, 6411.26911.269210
4301.84551.848010552, 6331.25751.257410
4311.81391.81215721
333, 5111.77771.7782356421.23441.23475
432, 5021.71511.715815544, 7221.22371.22390
5211.68621.687020731, 5531.20331.202915
4401.63271.633420643, 6501.18241.18315
4411.60861.60855732, 6511.17351.17355
4331.58071.584658001.15501.15505
"} {"image_path": "images/edbc305421b15bb7dbf34769d017a740.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GrandparentParentProband
GenotypeFrequencyAverage No.of offspringGenotypeConditionalfrequencyPhenotypeConditionalfrequency Frequencyof affection
A 






$Q_i$ 






$M_A$ 






1 

$T_{i1}$ 

A
U
Q$_1$
$1-Q_1$
M$_AR_1$
M$_UR_1$
2 

$T_{i2}$ 

A
U
$ \\begin{array}{c}\\mathrm{Q}_{2}\\\\ 1-\\mathrm{Q}_{2}\\end{array} $M$_AR_2$
M$_UR_2$
3 

$T_{i3}$ 

A
U
$\\mathrm{Q}_{3}$
$1-Q_3$
M$_AR_3$
M$_UR_3$
U 






$1-Q_i$ 






$M_U$ 






1 

$T_{i1}$ 

A
U
$\\mathrm{Q}_{1}$
$1-Q_1$
M$_AR_1$
M$_UR_1$
2 

$T_{i2}$ 

A
U
$\\mathrm{Q}_{2}$
$1-Q_2$
M$_AR_2$
M$_UR_2$
3 

$T_{i3}$ 

A
U
$ \\begin{array}{c}\\text { Q3 } \\\\ 1-Q_{3}\\end{array} $M$_AR_3$
M$_UR_3$
"} {"image_path": "images/c433bbdcbdda4115e9f7a52c5acbc5e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n
适用机型及型号可直接代换型号及生产厂
机型型号型号生产厂
东芝TLN1032 BCT-2青州无线电变压器厂
BT-01国营第八九八厂
TLN1032天津市无线电元件三厂
TH25MA杭州变压器厂
HB-2天津光电通讯公司
TLN1039
THN1032
HB1-3
TH30MG杭州变压器厂
THL1039武汉变压器厂,国营八九八厂
HTB-12上海无线电二十七厂
松下TLN6476EGF4、722、003国营长富电子器件联合制造厂
HB-03辽宁电子通讯设备厂
HB3-2天津光电通讯公司
TLH6474E青州无线电变压器厂,国营第八九八厂
CA-4070095BJM - 01北京电视配件三厂
胜利A46022BMCZB001天津电子仪器变压器厂
CF4、722、001长富电子器件联合制造厂
HB-02辽宁电子通讯设备厂
HTB-9上海无线电二十七厂
HTBR8-1J上海电子元件二厂
TH30ML杭州变压器厂
A46022BM武汉无线电变压器厂
武汉变压器场
CE40895-00ACE4089-00A武汉变压器场
CF4722005长富电子器件联合制造厂(陕西富平)
C895A国营长岭机器厂电器分厂
TH07-MB杭州变压器厂
夏普RIRNZ0050CEZZHTB -11上海无线电二十七厂
RIRNZ0050CEZZXH-1国营长岭机器厂电器分厂
HTB - 11上海无线电二十七厂
JH0059CE集宁无线电元件厂
TH30MA杭州变压器厂
WHB-04-S无锡无线电变压器厂
CF4-722-002国营长富电子器件联合制造厂
Z0059WHB - 04 - S无锡市无线电变压器厂
三洋AD0001BCT-5青州无线电变压器厂(山东)
BCT-SI无锡第四磁性材料厂
BJH-1国营第八九九厂(四川宜宾25号信箱)
CF4-722-004长富电子器件联合制造厂(陕西富平)
AD0001自贡市无线电一厂
上海磁性材料厂
CE40895-00ACE40895-00A上海磁性材料厂
NEC46399007CF4-722-007 国营长富电子器件联合制造厂
HTB -14上海无线电二十七厂
HB5-2天津光电通讯公司
松下H6476ETH10UU01北京广播电视配件七厂
日立2260021HTB-6上海无线电二十七厂
"} {"image_path": "images/d88f14f0196d1b190a7a6d4c6b5f7355.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
万用表极性测量值万用表极性测量值
##
整流桥模块$\\mathrm{V}_1$RP不导通$\\mathrm{V}_4$RN导通
PR导通NR不导通
$\\mathrm{V}_2$SP不导通$\\mathrm{V}_5$SN导通
PS导通NS不导通
$\\mathrm{V}_3$TP不导通$\\mathrm{V}_6$TN导通
PT导通NT不导通
逆变器模块$\\mathrm{VR}_1$UP不导通$\\mathrm{VR}_4$UN导通
PU导通NU不导通
$\\mathrm{VR}_3$VP不导通$\\mathrm{VR}_6$V106导通
PV导通NV不导通
$\\mathrm{VR}_5$WP不导通$\\mathrm{VR}_2$WN导通
PW导通NW不导通
"} {"image_path": "images/fb75edf16146ca5dd4f32059c8a8bff4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
合 计占总数%乡办企业村办企业村以下企业
小 计占合计%小 计占合计%小 计占合计%
总计个数669400100292724.48393212.555619083.1
人数3270374100112029434.3291749228123258837.68
产值101988410045431844.552653132630025329.45
第一产业(种养业)个数348865.2516714.82971985.2
人数35639510.98606922.527032677.5
产值6073861730428.54343471.5
第二产业小计个数30442245.47144934.83504611.525488383.7
人数220393567.494270542.854178024.671945032.6
产值65160363.934862053.517098926.213199420.3
工业企业个数26981640.3121204.63357712.422411983
人数16672805155938733.648906029.361883337.1
产值50166449.1722869645.615635131.211617023.2
建筑业个数346065.1723736.514694.23076488.9
人数53665516.4138331871.5527209.810061718.7
产值14993914.711992479.9146389.81537710.3
第三产业小计 个数33009249.396123.2191675.330131391
人数71001421.7915207.210538614.851310878
产值30754330.158839428.85089016.516825951.7
交通运输业个数9198613.724602.733143.68621293.7
人数1769885.43218618.32078911.712401370
产值733867.21438619.6765110.45134970
商业服务业个数23810635.5771523158536.721510190.3
入数53302616.35933411.18456715.938909573
产值23415722.967400831.64323918.411691050
"} {"image_path": "images/d7c631b20b6f83ca2987031a93780284.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
201X年凭证字号摘 要一级科目明细科目借方金额贷方金额
12101预付货款预付账款
银行存款
江 城 贸 易公司50 000.0050 000.00
12102借资备用金其他应收款
银行存款
业务科4 000.004 000.00
12303-1
03-2
购进材料材料采购
应交税费
银行存款

原材料
材料采购
甲材料
应交增值税(进项税额)

甲材料
甲材料
125 500.00
20 825.00

125 500.00
146 325.00
125 500.00
12304支付办公用品费管理费用
库存现金
办公费490.00490.00
12505-1
05-2
投资设备一台固定资产清理
累计折旧
固定资产

长期股权投资
固定资产清理
资本公积
在用设备

180 000.00
160 000.00
40 000.00

160 000.00
20 000.00
200 000.00
12606上缴税金应交税费
银行存款
应交增值税(已交税金)
应交城市维护建设税
11 078.76
1 105.24
12 184. 00
"} {"image_path": "images/c1e98c338f0dbf45c2275fc01836bacd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Chemical formula$\\mathrm{Ba}( \\mathrm{C}_{4} \\mathrm{H}_{4} \\mathrm{O}_{5})\\cdot 2 ~\\mathrm{H}_{2} \\mathrm{O}$$\\mathrm{RbH}\\left(\\mathrm{C}_{4} \\mathrm{H}_{4} \\mathrm{O}_{5}\\right)$$\\mathrm{CsH}\\left(\\mathrm{C}_{4} \\mathrm{H}_{4} \\mathrm{O}_{5}\\right) \\cdot \\mathrm{H}_{2} \\mathrm{O}$$\\mathrm{Mg}\\mathrm{H}_{2}\\left(\\mathrm{C}_{4}\\mathrm{H}_{4}\\mathrm{O}_{5}\\right)_{2}\\cdot 4~\\mathrm{H}_{2}\\mathrm{O}$
Formula weight $\\left[\\mathrm{g}~\\mathrm{mol}^{-1}\\right]$305.44218.55284.01362.53
Crystal systemtriclinicorthorhombicmonoclinicmonoclinic
Space group$P\\overline{1}$ (No. 2)Fdd2 (No. 43)$P2_1$/n(No. 14)C2/c(No. 15)
$a\\left[\\mathring{\\mathrm{A}}\\right]$6.674(1)15.225(1)7.5515(3)11.176(1)
$b\\left[\\mathring{\\mathrm{A}}\\right]$7.585(2)22.672(2)14.5123(7)9.636(1)
$c\\left[\\mathring{\\mathrm{A}}\\right]$8.255(2)7.534(1)7.6104(3)14.167(2)
$\\alpha\\left[^{\\circ}\\right]$75.05(2)909090
$\\beta\\left[^{\\circ}\\right]$83.96(2)90105.848(3)107.57(2)
$\\gamma[^{\\circ}]$83.02(2)909090
$V[\\mathring{\\mathrm{A}}^{3}]$399.6(2)2600.6(4)802.2(3)1454.6(5)
Z21644
$\\mathrm{O}_{\\text {calc }}\\left[\\mathrm{g}~\\mathrm{cm}^{-3}\\right]$2.5392.2332.3521.655
$\\mu\\left(\\mathrm{Mo} K_{a}\\right)~\\left[\\mathrm{cm}^{-1}\\right]$49.7075.846.001.99
$\\boldsymbol{F}(000)$2881696536760
$\\theta_{\\max }~\\left[{}^{\\circ}\\right]$ 61616160
Number of frames327115284381
Exposure time per frame$~[\\mathrm{s}]$2402550060
Unique data set2434167624491991
Data with $F_{\\mathrm{o}}>4 \\sigma\\left(F_{\\mathrm{o}}\\right)$2323152418881699
Variables141112129142
Extinction coefficient0.014(1)0.001(1)0.003(1)0.009(1)
R1 [for $F_{\\mathrm{o}}>4 \\sigma\\left(F_{\\mathrm{o}}\\right)$ ]0.02050.03100.03820.0362
$w R 2$ [for all $F_{\\mathrm{o}}{ }^{2}$ ]0.04590.06650.05540.0943
Weighting parameters $a / b$0.0153/0.06210.0193/6.8907$0.0000 / 0.4649$$0.0355 / 1.2646$
Chemical formula$\\mathrm{CaH}_{2}\\left(\\mathrm{C}_{4} \\mathrm{H}_{4} \\mathrm{O}_{5}\\right)_{2} \\cdot 2 \\mathrm{H}_{2} \\mathrm{O}$$\\mathrm{ZnH}_{2}\\left(\\mathrm{C}_{4} \\mathrm{H}_{4} \\mathrm{O}_{5}\\right)_{2} \\cdot 4 \\mathrm{H}_{2} \\mathrm{O}$$\\mathrm{LiH}_{3}\\left(\\mathrm{C}_{4} \\mathrm{H}_{4} \\mathrm{O}_{5}\\right)_{2}$$ \\mathrm{CsH}_{3}\\left(\\mathrm{C}_{4} \\mathrm{H}_{4} \\mathrm{O}_{5}\\right)_{2} $
Formula weight $\\left[\\mathrm{g}~\\mathrm{mol}^{-1}\\right]$306.24403.59274.11400.08
Crystal systemmonoclinicmonoclinictriclinictriclinic
Space groupC2/c (No. 15)C2/c (No.15)$P\\overline{1}$ (No. 2)$P\\overline{1}$ (No. 2)
$a\\left[\\mathring{\\mathrm{A}}\\right]$15.910(3)11.178(2)5.890(1)7.693(2)
$b\\left[\\mathring{\\mathrm{A}}\\right]$5.883(1)9.618(1)7.764(2)8.768(2)
$c\\left[\\mathring{\\mathrm{A}}\\right]$13.034(3)14.190(1)12.487(2)10.653(2)
$\\alpha[^{\\circ}]$909089.78(3)79.13(3)
$\\beta\\left[^{\\circ}\\right]$90.69(3)107.74(3)77.79(3)69.61(3)
$\\gamma\\left[^{\\circ}\\right]$909089.20(3)69.19(3)
$V[\\mathring{\\mathrm{A}}^{3}]$1219.9(4)1453.0(5)558.1(2)627.9(2)
Z4422
$\\varrho_{\\text {calc }}\\left[\\mathrm{g}~\\mathrm{cm}^{-3}\\right]$1.6671.8451.6312.116
$\\mu\\left(\\mathrm{Mo} K_{\\alpha}\\right)~\\left[\\mathrm{cm}^{-1}\\right]$5.6217.6716.3129.95
$\\boldsymbol{F}(000)$632832284388
$\\theta_{\\max }\\left[{}^{\\circ}\\right]$ 61616161
Number of frames327547528655
Exposure time per frame $~[\\mathrm{s}]$2401520100
Unique data set1857221733143754
Data with $F_{\\mathrm{o}}>4 \\sigma\\left(F_{\\mathrm{o}}\\right)$1724213430093464
Variables125142217204
Extinction coefficient0.005(1)0.018(2)0.06(3)0.012(1)
$R 1$ [for $F_{\\mathrm{o}}>4 \\sigma\\left(F_{\\mathrm{o}}\\right)$ ]0.02420.04280.03830.0282
$w R 2$ [for all $F_{\\mathrm{o}}{ }^{2}$ ]0.06230.12080.10630.0647
Weighting parameters $a / b$0.0179/0.93240.0686/1.47790.0491/0.13290.0210/0.4064
"} {"image_path": "images/78159f94f39491ba156f92d8f4d18bcb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
General dataSections
$n_{s}$$n_{b}$$\\rho$$\\alpha$Columns: (HEB) & Beams: (IPE)
3 30.471.3240-330(1-3)
3 30.361.6260-330(1-3)
3 30.281.9280-330(1-3)
360.541.3240-330(1-3)
360.411.6260-330(1-3)
360.311.9280-330(1-3)
630.381.6280-360(1-4)+260-330(5-6)
630.291.97300-360(1-4)+280-330(5-6)
630.242.27320-360(1-4)+300-330(5-6)
660.431.6280-360(1-4)+260-330(5-6)
660.331.97300-360(1-4)+280-330(5-6)
660.272.27320-360(1-4)+300-330(5-6)
930.282.19340-360(1)+340-400(2-5)+320-360(6-7)+300-330(8-9)
930.242.43360-360(1)+360-400(2-5)+340-360(6-7)+320-330(8-9)
930.182.93400-360(1)+400-400(2-5)+360-360(6-7)+340-330(8-9)
960.322.19340-360(1)+340-400(2-5)+320-360(6-7)+300-330(8-9)
960.282.43360-360(1)+360-400(2-5)+340-360(6-7)+320-330(8-9)
960.212.93400-360(1)+400-400(2-5)+360-360(6-7)+340-330(8-9)
1230.242.6400-360(1)+400-400(2-3)+400-450(4-5)+360-400(6-7)+340-340(8-9)+340-360(10)+340-330(11-12)
1230.263450-360(1)+450-400(2-3)+450-450(4-5)+400-450(6-7)+360-400(8-9)+360-360(10)+360-330(11-12)
1230.193.63500-360(1)+500-400(2-3)+500-450(4-5)+450-450(6-7)+400-400(8-9)+400-360(10-11)+400-330(12)
1260.282.6400-360(1)+400-400(2-3)+400-450(4-5)+360-400(6-7)+340-400(8-9)+340-360(10)+340-330(11-12)
1260.33450-360(1)+450-400(2-3)+450-450(4-5)+400-450(6-7)+360-400(8-9)+360-360(10)+360-330(11-12)
1260.223.63500-360(1)+500-400(2-3)+500-450(4-5)+450-450(6-7)+400-400(8-9)+400-360(10-11)+400-330(12)
1530.133.87500-300(1)+500-400(2-3)+500-450(4-5)+450-400(6-7)+400-400(8-12)+400-360(13-14)+400-330(15)
1530.14.49550-300(1)+550-400(2-3)+550-450(4-5)+500-400(6-7)+450-400(8-12)+450-360(13-14)+450-330(15)
1530.114.76600-300(1)+600-400(2-3)+600-450(4-5)+550-450(6-7)+500-450(8-9)+500-400(10-12)+500-360(13-14)+500-330(15)
1560.153.87500-300(1)+500-400(2-3)+500-450(4-5)+450-400(6-7)+400-400(8-12)+400-360(13-14)+400-330(15)
1560.114.49550-300(1)+550-400(2-3)+550-450(4-5)+500-400(6-7)+450-400(8-12)+450-360(13-14)+450-330(15)
1560.134.76600-300(1)+600-400(2-3)+600-450(4-5)+550-450(6-7)+500-450(8-9)+500-400(10-12)+500-360(13-14)+500-330(15)
2030.114.54600-300(1)+600-400(2-3)+600-450(4-5)+550-450(6-10)+500-450(11-13)+500-400(14-16)+450-400(17)+450-360(18-19)+450-330(20)
2030.095.16650-300(1)+650-400(2-3)+650-450(4-5)+600-450(6-10)+550-450(11-13)+550-400(14-16)+500-400(17)+500-360(18-19)+500-330(20)
2030.075.9700-300(1)+700-360(2)+700-400(3)+700-450(4-5)+650-450(6-10)+600-450(11-13)+600-400(14-16)+550-400(17)+550-360(18-19)+550-330(20)
2060.134.54600-300(1)+600-400(2-3)+600-450(4-5)+550-450(6-10)+500-450(11-13)+500-400(14-16)+450-400(17)+450-360(18-19)+450-330(20)
2060.15.16650-300(1)+650-400(2-3)+650-450(4-5)+600-450(6-10)+550-450(11-13)+550-400(14-16)+500-400(17)+500-360(18-19)+500-330(20)
2060.085.9700-300(1)+700-360(2)+700-400(3)+700-450(4-5)+650-450(6-10)+600-450(11-13)+600-400(14-16)+550-400(17)+550-360(18-19)+550-330(20)
"} {"image_path": "images/9a1f586ad3d8d26974e26f3121223aa5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleIrradiationnumberApproximateintroductionrate at endof Irradiation$\\mathrm{(Traps/cm^3\\ per\\ photon/cm^2)}$Measuringtemperature$\\mathrm{(110^\\circ K)}$Fermi level(ev)Irradiationtemperature$\\mathrm{(311^\\circ K)}$Fermi level(ev)Initialphosphorouscontent$\\left(\\mathrm{cm}^{-3}\\right.$
1019-20$ 1.35×10^{-3} $-0.076-0.255$ 2.4×10^{15} $
1$ 1.25×10^{-3} $-0.082-0.256
2$ 1.15\\times 10^{-3} $-0.091-0.257
3$ 1.10×10^{-3} $-0.113-0.250
1123-20$ 9.5×10^{4} $-0.092-0.304$ 4.3×10^{14} $
1$ 9.4\\times 10^{4} $-0.094-0.304
2$ 9.2×10^{4} $-0.103-0.305
3$ 8.8\\times 10^{4} $-0.110-0.305
1123-40$ 7.5\\times 10^{-4} $-0.102-0.332$ 2.1×10^{14} $
1$7.1 \\times 10^{-4}$-0.105-0.332
2$ 6.9\\times 10^{-4} $-0.109-0.332
3$ 6.6 x10^{-4} $-0.118-0.332
4$6.4 \\times 10^{-4}$-0.131-0.332
1123-30$7.1 \\times 10^{-4}$-0.105-0.343$ 1.4×10^{14} $
1$ 6.8\\times 10^{-4} $-0.108-0.343
2$ 6.6×10^{-4} $-0.128-0.343
3$6.4 \\times 10^{-4}$-0.135-0.343
1123-300$ 7.0×10^{-4} $-0.106-0.344$ 1.4×10^{14} $
1$ 6.2\\times 10^{-4} $-0.116-0.344
2$ 6.0×10^{-4} $-0.127-0.344
"} {"image_path": "images/3b834411d4a959352cb51d1af06a5de2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日期/d继代次数继代增殖苗诱导生根苗
种苗×增殖系数×(1-污染损耗率)绿茎数 $\\times$ 生根率 $\\times(1-$ 污染损耗率)
0~400$ 50\\times 5\\times(1-5\\% )=237 $$120000 \\times 0.7 \\times (1 - 5\\%) = 79800 $
801237 x 5 x 0.95=1125
1202$ 1125\\times 5\\times 0.95=5343 $
1603$ 5343 \\times 5 \\times 0.95=25379 $
2004 $25379\\times 5\\times 0.95=120550$
2405$ 120550 \\times 5 \\times 0.95=572612 $
2806$ 452612\\times 3\\times 0.95=1289944 $
合计$\\begin{align*}&> 859962 \\times 0.7 \\times 0.95 \\geq 571874 \\\\&> 651674 \\\\\\end{align*}$
"} {"image_path": "images/8c75cd7aaee9104d44a858b24240d4f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓名省份聘用企业名称
注册证书专业类别注册编号
序号审查内容审 核 情 况 审 查 依 据
一、有下列情形之一的,不予注册:
(一)不具有完全民事行为能力的;
(二)申请在两个或者两个以上企业注册的;
(三)未达到注册建造师继续教育要求的;
(四)受到刑事处罚,刑事处罚尚未执行完毕的;
(五)因执业活动受到刑事处罚,自刑事处罚执行完毕之日起至申请注册之日止不满5年的;
(六)因前项规定以外的原因受到刑事处罚,自处罚决定之日起至申请注册之日止不满3年的;
(七)被吊销注册证书,自处罚决定之日起至申请注册之日止不满2年的;
(八)在申请注册之日前3年内担任项目经理期间,所负责项目发生过重大质量和安全事故的;
(九)申请人的聘用企业不符合注册企业要求的;
(十)年龄超过65周岁的;
(十一)法律、法规规定不予注册的其他情形。
二、《一级建造师注册实施办法》第八条规定需申报材料附件。
(十二)原注册证书;
(十三)申请人与聘用企业签订的聘用劳动合同复印件或申请人聘用企业出具的劳动、人事、工资关系证明;
(十四)申请人注册有效期内达到继续教育要求证明材料。
审查结果不符合要求的情形
(一)申请表 注册省份是否符合要求
是否有不予注册情形
(二)原注册证书
(三)聘用劳动合同复印件或其它有效证明材料
(四)继续教育证书材料复印件
(五)审核结论$□$ 同意延续________专业注册。
$□$ 不同意延续_______专业注册,
理由_______________________。
审查人(签名):
                               部门全称
                            (加盖单位公章)
                               年 月 日
(六)备 注
"} {"image_path": "images/f7df24d1ac672c24aec1024c04b4e0f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Run no.Temp,°C[NaOMe],M$10^{5} k_{1}{}^ \\text{T},\\text{ sec}^{-1}$$\\begin{gathered} 10^{5} k_{2}{}^{0T},^{a}\\\\ M^{-1} sec^{-1}\\end{gathered} $$\\begin{array}{l}{10^{5}k_{1}^{\\mathrm{~H}},}\\\\{\\sec^{-1}}\\end{array}$$K_H/K_T$
9-Phenylfluorene
WBH36
45.80.0155$ \\begin{array}{c}\\\\ 51.0\\pm 0.7\\\\ \\end{array} $$3280\\pm 45$
WBH39$^b$25.00.1$ 31.7\\pm 1.0 $$510\\pm 10$$ 16.1 \\pm 0.6 $
TK1325.00.01$3.15 \\pm 0.11$$50.1 \\pm 1.0$$15.9 \\pm 0.6$
9-Methylfluorene
PR544.70.143$3.59 \\pm 0.05$$21.4 \\pm 0.3$$42.7 \\pm 0.3$$11.9 \\pm 0.3$
AHP7844.90.196$ 5.13\\pm 0.4 $$25.0 \\pm 2.0$
AHP12845.00.155$ 3.53 \\pm 0.06 $$ \\begin{array}{c}22.0\\pm 0.4\\end{array} $
"} {"image_path": "images/50aa32cdc73d5f00150c59f0295138dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HPMSAllmonoADSNon-ADEM monoADSADEM
$Monofocal^a$$Polyfocal^b$Lesion-$negative^c$Lesion-$positive^d$
n8058744511361818
Sex (females/males)56/2443/1533/4122/234/717/198/107/11
Mean age at $onset^e$,years (range)14.9 (6.1-23.9)12.3 (4.6-16.8)10.0 (2.3-15.9)11.3 (4.0-15.9)10.6 (5.9-15.8)10.9 (4.0-15.9)11.6 (5.9-15.8)6.5 (2.3-13.6)
Mean clinicalfollow-up,years (range)-7.7 (1.7-19.2)5.8 (2.1-9.0)5.8 (2.1-9.0)6.0 (2.7-8.8)5.9 (2.1-9.0)5.6 (3.0-8.7)5.6 (2.3-8.9)
Mean radiologicalfollow-up,years $(\\text{range})^f$1.3 (0-2.0)4.5 (0.1-14.5)4.3 (0.0-8.0)4.2 (0.0-8.0)4.5 (1.9-8.0)4.4 (0.5-8.0)3.2 (0.0-4.9)4.3 (0.5-8.0)
Mean time to DTI,years (range)-2.4 (0.1-14.5)1.3 (0.0-4.1)1.0 (0.0-4.0)1.3 (0.0-4.0)1.3 (0.0-4.0)0.8 (0.0-4.0)1.9 (0.0-4.1
Mean $T_2-\\text{LV}^h,$ml (range)-5.8 $(0-38.0)^g$3.6 (0-102)0.3 (0-4.1)8.1 (0-61.6)-5.2 (9.5-61.6)9.4 (0-102)
"} {"image_path": "images/794db52c272c57633745c3a21bb0e552.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Tekijā:Snickars Mikaela ja Westergárd Lotta
Koulutusohjelma ja paikkakunta:Hoitotyö, Vaasa
Suuntautumisvaihtoehto:Hoitotyö
Ohjaajat:Hallvar-Hudd Gunilla
Nimike:Kipua injektionuisketta saadessa
Päivämäärä: Syyskuu 2011Sivumäärä:40 Liitteet: 5
"} {"image_path": "images/224eb6dbbec214aa4250a58d751baf41.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SITC, R3GB/T 4754-2002I - OSCMPSNABECTC
5 位码3 位码GB小类GB中类
[64147][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64148][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64151][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64152][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64153][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64154][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64155][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64156][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64157][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64158][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64159][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64161][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64162][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64163][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64164][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64169][641]2221机制纸纸板222造纸10造纸印刷文教加工品中间品22B
[64171][641]2223222造纸10造纸印刷文教加工品中间品22B
[64172][641]2223222造纸10造纸印刷文教加工品中间品22B
[64173][641]2223222造纸10造纸印刷文教加工品中间品22B
[64174][641]2223222造纸10造纸印刷文教加工品中间品22B
[64175][641]2223222造纸10造纸印刷文教加工品中间品22B
[64176][641]2223222造纸10造纸印刷文教加工品中间品22B
[64177][641]2223222造纸10造纸印刷文教加工品中间品22B
[64178][641]2223222造纸10造纸印刷文教加工品中间品22B
[64179][641]2223222造纸10造纸印刷文教加工品中间品22B
[64191][641]2223222造纸10造纸印刷文教加工品中间品22B
[64192][641]2223222造纸10造纸印刷文教加工品中间品22B
[64193][641]2223222造纸10造纸印刷文教加工品中间品22B
[64194][641]2223222造纸10造纸印刷文教加工品中间品22B
[64211][642]2231纸和纸板容器223纸制品10造纸印刷文教加工品中间品22B
[64212][642]2231纸和纸板容器223纸制品10造纸印刷文教加工品中间品22B
[64213][642]2231纸和纸板容器223纸制品10造纸印刷文教加工品中间品22B
[64214][642]2231纸和纸板容器223纸制品10造纸印刷文教加工品中间品22B
[64215][642]2231纸和纸板容器223纸制品10造纸印刷文教加工品中间品22B
[64216][642]2231纸和纸板容器223纸制品10造纸印刷文教加工品中间品22B
"} {"image_path": "images/918edb273504a155298294cf5b0e633a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ProductsSudan, 199619921998
MinimumRateMaximumRate StandardDeviationMinimumRateMaximumRate StandardDeviationMinimumRateMaximumRate StandardDeviation
Live animals0.030.014.817.052.011.817.052.011.8
Vegetable0.030.08.815.043.08.115.043.07.0
Fats and oils0.05.02.417.043.09.417.043.09.3
Prepared food, etc.0.0200.047.017.034.07.017.034.07.0
Mineral0.010.02.717.017.00.017.038.07.4
Chemical0.00.06.217.027.03.917.043.07.8
Plastic and rubber0.030.07.217.052.09.817.052.09.3
Hides and skins0.030.013.417.043.010.343.043.00.0
Wood and articles0.020.04.722.052.010.822.052.010.2
Pulp, paper, etc.0.020.05.417.052.010.317.052.010.4
Textile and articles0.050.013.717.043.012.517.060.09.2
Footwear, headgear0.020.09.80.00.00.038.043.02.3
Articles of stone0.020.04.80.00.00.027.043.06.3
Precious stones, etc.0.020.06.00.00.00.00.00.00.0
Base metals0.050.04.817.032.05.417.043.010.2
Machinery0.030.03.217.052.06.417.052.06.5
Transport equipment0.010.02.717.052.010.317.052.010.1
Precision instrument0.010.02.917.043.011.617.043.010.4
Arms and ammunition0.00.00.00.00.00.00.00.00.0
Miscellaneous
manufactures0.070.018.325.025.00.025.043.04.9
Works of art, etc.0.00.00.00.00.00.00.00.00.0
Total ${ }^{1}$0.0200.013.315.052.09.115.060.015.7
"} {"image_path": "images/58d84bbb53d0c5646806967e3e00aab9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
购 买 商 品 支 出 金 额 (元)
总 计按 平 均 每 人 每 月 生 活 费 收 入 分 组
25元以下25—35元35—50元50—60元60—70元70元以上
186.139.6450.9727.0656.3142.15
4,646.00182.001,067.781,247.971,159.61988.64
453.4046.0012.50194.0074.20126.70
13.2013.20
1,907.00225.00550.00225.00907.00
145.00145.00
328.90160.50168.40
37.699.0020.698.00
4,600.001,040.001,050.002,510.00
307.00307.00
4,583.00379.00859.001,551.001,009.00785.00
151.0984.8066.29
"} {"image_path": "images/a30d24b00053326c2255508b016bf9b0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目本 年完成投资按构成分本年新增固定资产
建筑工程安装工程设备工器具 购 置其他费用
# 土 地购置费
工艺品及其他制造业1701682120
废弃资源和废旧材料回收加工业2311676450
电力、燃气及水的生产和供应业16465460828827748122713327
电力、热力的生产和供应业13581445822805656118710801
水的生产和供应业28841506022092402526
建筑业1919181311612545839907338
房屋和土木工程建筑业545523323232800435
建筑安装业81361469153251353403
其他建筑业560043308011903500
交通运输、仓储和邮政业273546233100208212001422
道路运输业225411331008212001422
水上运输业2000020000
仓储业51005100
批发和零售业67313200152910879153201
批发业365126402987895521
零售业308056015001000202680
住宿和餐饮业140011003001400
餐饮业140011003001400
金融业6012705126200551
银行业6012705126200551
房地产业2178181966765877251312752630491716
租赁和商务服务业512332084582010503001735
商务服务业512332084582010503001735
科学研究、技术服务和地质勘查业23520035235
专业技术服务业23520035235
水利、环境和公共设施管理业523041344651005313084
水利管理业890890150
环境管理业822257465100402
公共设施管理业351829875312532
教育4934460621223934204
卫生、社会保障和社会福利业4218249017513302231525
卫生4108243017513301731525
社会福利业1106050
文化、体育和娱乐业37533733380312
广播、电视、电影和音像业24017070312
文化艺术业31463146
体育367203164
公共管理和社会组织172581247120424843351555188
国家机构37493512530202574
群众团体、社会团体和宗教组织6504901201030319
基层群众自治组织1285984697920841031554295
按地区分
福州市21373015827669093328915256547872299
厦门市5969457115065259687114
莆田市28446207843951372589513251
三明市114426872537217518588774
泉州市518733549626366572716922830614
漳州市2164790062441857316277377150
南平市994943872275155717307631
龙岩市265318647710724576
宁德市10369936110087053347
不分区2464124641
"} {"image_path": "images/0ff9ea52321cf484fe4c738de7482ad7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
VariableParticipationLand Leased
Coeff.Std. ErrorCoeff.Std. Error
Constant$-1.0128^{*}$(0.0372)-7.4628(5.9292)
Log formal loan$0.0969^{*}$(0.0336)0.4527(0.3407)
Log informal loan$0.1528^{*}$(0.0306) $0.7974^{+}$ (0.4575)
Land $-0.5937^{*}$ (0.0728)-3.1064(1.9871)
Plots $0.2337^{*}$ (0.0357)0.8969(0.6875)
Males $0.1347^{*}$ (0.0393) $1.1766^{*}$ (0.4434)
Females0.0838*(0.0396)0.1742(0.3469)
Draft $0.1218^{*}$ (0.0389) $1.1210^{*}$ (0.4412)
Irr. Land $0.4233^{*}$ (0.0507) $2.9991^{*}$ (1.2855)
Assets $-0.7033^{*}$ (0.0896) $-4.1869^{*}$ (2.0306)
Vpop$0.0780^{*}$ (0.0323)0.4819(0.3074)
Wage$-0.1564^{*}$ (0.0421)-0.5723(0.5597)
Msoon80$-0.1153^{*}$ (0.0393)-0.4184(0.4370)
Road0.0282(0.0365)0.1077(0.2414)
Inverse Mills ratio$6.0956^{+}$(3.7872)
Log Likelihood-989.66
Sample Size2,278478
$\\text{R}^2$0.237
"} {"image_path": "images/816216ae9767251012d9f6022640edf5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号问 题提 问 单 位提 问 时 间答 复
1
2
···
n
"} {"image_path": "images/2dcbff411121b188591b5e5cc742ab5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nos.400 K640 KNos.400 K640 K
$\\sigma_i$$\\alpha_i$$\\sigma_i$$\\alpha_i$$\\sigma_i$$\\alpha_i$$\\sigma_i$$\\alpha_i$
1
2
3
4
5
6
7
2869
3024
3009
3055
2954
2946
3101
109.8
102.6
111.8
106
103.3
108.5
107.5
5213
5239
5252
5141
5261
5294
5145
27.9
29.6
29
27
28.61
26.4
27.6
8
9
10
2985
2921
3046
106.5
105.7
104.55
5325
5181
5331
28.15
28.5
27.49
$(\\sigma, \\alpha)_m$
$r_{\\sigma, \\alpha}$
$s_{\\sigma, \\alpha}$
$w_{\\sigma, \\alpha}$
2991
50.91
66.22
2.21
106.62
2.22
2.86
2.06
5249.7
59.93
75.25
1.43
28.03
0.83
0.95
3.4
"} {"image_path": "images/71efedf6dcc2cea9607b4b2880b165a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
John GreenerCinWML214+
Joseph FloreyCinEML5420SW
Henry MillerCinWML11224NE
John SmithCinEML1420SW
Isaac SturgisCinMR138NE
William CumminsCinMR13432NW
Rosetta Robinson, heirs ofCinMR13425SW
Gabriel CoxCinMR9635SW
Samuel StewartCinMR338NW
Thomas KerseyCin*13E17-34NE
Martin JudyCinMR9513SE
Willis WhistonCin*14E17-27NW
James WoodCinWML195SE
John McKeeCin*13E1618NE
Andrew MayCinEML1712SW
Joseph Hough & T. BlairCinEML2414SW
Abraham ClarkCinMR138NW
Jacob NeffCinEML3410NE
John H. Ratt & J. AndrewsCinMR1011+
John H. Ratt & J. AndrewsCinMR1017-
Stephen McFarlandCinTown, Sq.3,1ot16
John TaylorCinMR12513SE
James McIntire &
John McIntireCinMR9422NW
Barnabas NilesCinMR2426SE
James WethroeCinEML1818SE
William SnodgrassCinMR1326SE
William Wilson, JuniorCinEML21226NW
Benjamin SchoolerCinMR14331NW
Peter BolselCinMR12114NW
William RunyonCinEML1724NW
William Hetdrick &
Abraham HetdrickCinWML197SE
Arthur ThomasCinMR12532NE
Rodham TalbottCinEML7119+
Michael SniderCinWML21224SW
Daniel Newcomb CinMR12534SE
*Second Principal Meridian
"} {"image_path": "images/cd0187732cfa2c2303087b412d80dccb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NaFNaClNaBrNaIKFKClKBrKI
Electrostatic-309·0-172·8-144·9-113·9-198·3-125·2-107·9-87·9
Dipole-dipole-248·3-238.7-233·6-228·5-252·3-209·3-194·9-181·8
Dipole-quadrupole-35·3-34·4-33·4-33·6-33·3-28·9-26·4-25·0
Repulsive1806·91087·3946·0794·61203·2767·4669·7563·6
Total
100$\\gamma_0'$1214641534419719404341269
110$\\gamma_0'$1443776646505884521442354
"} {"image_path": "images/8001d283c351ccec98d676ef3a8acf9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cases notifiedNo. of G.P.S
ActualExpected*
0167
1-53028
6-102321
11-151616
16-201012
21-25129
26-3037
31-3565
36-4024
41-45245
46-502
51-553107
56-601
61-651
66-701
71-751
76-802
81-850
86-901
91-950
132121
"} {"image_path": "images/f8e5791a5fb0d5b6bc76eaf42a45e06a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$M_i$4.004.25 4.50 4.755.00 5.25 5.505.756.006.256.506.757.007.257.50
$M_d$4.1254.3754.6254.8755.1255.3755.6255.8756.1256.3756.6256.8757.1257.375
$v_1 $1.63371.04170.66420.42350.27000.17220.12200.07780.04960.03160.02020.01290.00820.0052
$v_2$0.18150.11570.07380.04710.03000.0191
"} {"image_path": "images/0b57285cbc1264d98470c98ec13138e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
燃料的性质
种类
化学成分(体积%)$~~~$重度$kg/标m^3$$热值kcal/标m^3$燃烧用理$~$论气量标$m^3$/标$~~~m^3$燃烧气组成及气量标 $m^{3} /$ 标 $m^{3}$$CO_2$最大$~~~~~$含量$~~~~~~~$%
$CO_2$CO$CH_4$$C_2H_4$$H_2$$O_2$$N_2$高热值低热值$CO_2$$H_2O$$N_2$
城市煤气9.38.516.8-44.82.611.30.664450041004.2290.4130.7683.7564.9739.91
焦炉气2.69.025.93.950.50.18.00.652486043404.430.4531.2503.5795.28211.2
高炉气15.027.0--2.0-56.01.3458808700.680.4200.0421.0971.55927.7
水煤气4.538.0--52.00.25.30.683273024902.130.4250.5911.7362.75219.7
发生炉气4.825.53.60.412.10.253.41.21154014501.280.3470.2441.5452.13618.2
天燃气2.0-88.4$ \\mathrm{C}_{2} \\mathrm{H}_{6} 3.8 $-1.63.80.810843075708.970.9802.1827.12410.28612.0
丙烷$ \\begin{array} { c c c } { \\mathrm { C } _ { 3 } \\mathrm { H } _ { 8 } = 2 7 \\% } & { \\mathrm { C } _ { 3 } \\mathrm { H } _ { 6 } = 7 0 \\% } & { \\mathrm { C } _ { 4 } \\mathrm { H } _ { 1 0 } = 3 \\% } \\end{array} $1.940214902020022.363.034.07917.6624.77914.6
丁烷$ \\mathrm{C}_{3} \\mathrm{H}_{6}+\\mathrm{C}_{3} \\mathrm{H}_{4}=5 \\% \\quad \\mathrm{C}_{4} \\mathrm{H}_{10}=85 \\% \\quad \\mathrm{C}_{1} \\mathrm{H}_{6}=10 \\% $2.540291502710030.363.954.8523.9832.7814.1
"} {"image_path": "images/c1b0ff1365214a961343fcbd97dd7ca5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$cmpd^b$heat of formation $\\left(\\mathrm{kJ} \\cdot \\mathrm{mol}^{-1}\\right)$$E_{\\mathrm{a}}\\left(\\mathrm{kJ} \\cdot \\mathrm{mol}^{-1}\\right)$
reactantsTSC-C$\\text{C-NO}_2$
C-C$\\text{C-NO}_2$
1-477.60663.77621.66186.17144.06
2-485.00668.65630.12183.65145.12
1,2-498.92661.15630.01162.23131.09
1,3483.23674.17621.27191.04138.04
1,4-487.09674.11628.24187.02141.15
2,4-498.44683.07638.79184.63140.35
2,6-493.05677.41635.48184.36142.43
2,2-535.73707.09635.98171.36100.25
1,3,5-499.07695.03631.41195.96132.34
2,4,6-515.96651.23135.27
1,4,4-545.08719.10641.72174.0296.64
1,2,3-533.28694.21650.30160.93117.02
1,3,8-510.85636.63125.78
1,3,6-500.88635.56134.68
1,3,5,7-523.96729.43651.24205.47127.28
2,4,6,8-555.99682.18126.19
2,2,4,4-649.74826.75731.40177.0181.66
1,4,4,7-564.62659.7695.14
2,2,6,6-606.21703.6497.43
1,3,4,5,7-592.61692.5299.91
2,4,6,8,10-598.29721.31123.02
2,2,4,4,6,6-778.29848.6970.40
1,3,4,5,6,7-657.83750.8493.01
2,4,6,8,9,10-642.75761.76119.01
1,2,3,4,5,6,7-743.90837.2593.35
1,3,4,4,5,7,8-745.42819.3373.91
2,2,4,4,6,6,8,8-979.531042.7263.19
1,2,3,4,5,6,7,8-820.39913.2992.90
1,2,3,4,5,6,7,8,9-932.451026.0293.57.
1,2,3,4,5,6,7,8,9,10-1046.121121.9975.87
2,2,4,4,6,6,8,8,10,10-1343.261369.2826.02
1,2,3,4,4,5,6,7,8,9,10-1198.781223.5524.77
"} {"image_path": "images/c07838dc1d725e2f3dadfcf06ddfce09.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$χ^{2}(4_{2})$$χ^{2}(4_{1})$
2 degrees of freedom
$χ^{2}(1111202)= 5.91$$χ^{2}(1111102)= 6.78$
$χ^{2}(1111201)=12.04$$χ^{2}(1111101)=13.72$
1 degree of freedom
$χ^{2}(1110203)= 0.00$$χ^{2}(1110103)= 0.70$
$χ^{2}(1110202)= 0.05$$χ^{2}(1110102)= 0.70$
$χ^{2}(1110201)= 0.49$$χ^{2}(1110101) = 2.97$
$χ^{2}(1100223) = 0.87$$χ^{2}(1100123)= 1.59$
$χ^{2}(1100222) = 1.21$$χ^{2}(1100122)= 2.64$
$χ^{2}(1100221) = 5.12$$χ^{2}(1100121)= 7.48$
$χ^{2}(1100213)= 1.80$$χ^{2}(1100113)= 2.78$
$χ^{2}(1100212) = 3.00$$χ^{2}(1100112)= 5.06$
$χ^{2}(1100211)= 7.92$$χ^{2}(1100111)= 10.76$
$χ^{2}(0111203)= 1.60$$χ^{2}(0111103)= 2.63$
$χ^{2}(0111202) = 3.40$$χ^{2}(0111102) = 6.26$
$χ^{2}(0111201) = 9.42$$χ^{2}(0111101)= 13.19$
$χ^{2}(1101203)= 0.35$$χ^{2}(1101103)= 1.56$
$χ^{2}(1101202)= 0.31$$χ^{2}(1101102)= 2.54$
$χ^{2}(1101201)= 3.08$$χ^{2}(1101101) = 7.27$
$χ^{2}(1011203)= 3.08$$χ^{2}(1011103)= 3.08$
$χ^{2}(1011202)= 5.89$$χ^{2}(1011102)= 5.89$
$χ^{2}(1011201)=11.94$$χ^{2}(1011101)= 11.94$
"} {"image_path": "images/6500c4be40ea9ad28dcd89d249c01839.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ReactionOrderRate EquationIntegral Equation
Irreversible Reactions:0$-\\frac{\\mathrm{d}[\\mathrm{A}]}{\\mathrm{dt}}=\\mathrm{k}_{\\mathrm{o}}$$\\mathrm{[A]=[A]_{o}-k_{o}t}$
A==>B$\\mathrm{t}\\ 1/2=\\frac{[\\mathbf{A}]_{o}}{2\\mathbf{k}_{o}}$
A==>B1$-\\frac{\\mathrm{d[A]}}{\\mathrm{dt}}={k}_{1}[A]$$\\ln\\frac{[\\mathrm{A}]}{[\\mathrm{A}]_{\\mathrm{o}}}=-\\mathrm{k}_{\\mathrm{l}}\\mathrm{t}$
$\\mathrm{t}\\ 1/2=\\frac{1}{\\mathrm{k}_{1}}\\ln2$
A+A==>P2$-{\\frac{\\mathrm{d[A]}}{\\mathrm{dt}}}=\\mathrm{k}_{2}[\\mathrm{A}]^{2}$$\\frac{1}{[\\mathrm{A}]}-\\frac{1}{[\\mathrm{A}]_o}=\\mathrm{k}_2\\mathrm{t}$
$\\mathrm{t}\\ 1/2=\\frac{1}{\\mathrm{k}_{2}[\\mathrm{A}]_{o}}$
aA+bB==>P2$-\\frac{\\mathrm{d[A]}}{\\mathrm{dt}}=k_{2}[A][B]$$\\begin{aligned} & \\ln\\frac{\\left[\\mathrm{A}\\right]_{\\mathrm{o}}-\\left[\\mathrm{X}\\right]}{\\left[\\mathrm{B}\\right]_{\\mathrm{o}}-\\mathrm{b}/\\mathrm{a}\\left[\\mathrm{X}\\right]}=\\ln\\frac{\\left[\\mathrm{A}\\right]}{\\left[\\mathrm{B}\\right]} \\\\ & =\\frac{\\mathrm{b[A]_{o}-a[B]_{o}}}{\\mathrm{a}}\\mathrm{k_{2}t+ln\\frac{\\left[A\\right]_{o}}{\\left[B\\right]_{o}}} \\end{aligned}$
$\\begin{aligned} & \\mathrm{t}\\ {1}/2=\\frac{\\mathrm{a}}{\\mathrm{k}_{2}(\\mathrm{b}[\\mathrm{A}]_{0}-\\mathrm{a}[\\mathrm{B}]_{0}} \\\\ & \\times\\ln\\frac{\\mathrm{a}[\\mathrm{B}]_{\\mathrm{o}}}{2\\mathrm{a}[\\mathrm{B}]_{\\mathrm{o}}-\\mathrm{b}[\\mathrm{B}]_{\\mathrm{o}}} \\end{aligned}$
Reversible Reactions:1$\\left[\\mathrm{A}\\right]_{\\mathrm{eq}}=\\frac{\\left[\\mathrm{B}\\right]_{\\mathrm{o}}+\\left[\\mathrm{A}\\right]_{\\mathrm{o}}}{\\mathrm{K}+1}$$\\frac{[\\mathrm{A}]-[\\mathrm{A}]_{\\mathrm{eq}}}{[\\mathrm{A}]_{\\mathrm{o}}-[\\mathrm{A}]_{\\mathrm{eq}}}=\\mathrm{e}^{-\\mathrm{kxt}}$
A<==>B$\\mathrm{k}_{\\mathrm{R}}=\\frac{\\mathrm{k}_{1}(\\mathrm{K}+1)}{\\mathrm{K}}$
$\\left[\\mathrm{A}\\right]_{\\mathrm{eq}}=\\frac{\\left[\\mathrm{B}\\right]_{\\mathrm{o}}+\\left[\\mathrm{A}\\right]_{\\mathrm{o}}}{\\mathrm{K}+1}$
A+B<==>C+D2$\\begin{aligned} & \\ln\\frac{\\left[\\mathrm{A}\\right]_{\\mathrm{o}}-\\left[\\mathrm{X}\\right]}{\\left[\\mathrm{B}\\right]_{\\mathrm{o}}-\\mathrm{b}/\\mathrm{a}\\left[\\mathrm{X}\\right]}=\\ln\\frac{\\left[\\mathrm{A}\\right]}{\\left[\\mathrm{B}\\right]} \\\\ & =\\frac{\\mathrm{b[A]_{o}-a[B]_{o}}}{\\mathrm{a}}\\mathrm{k_{2}t+ln\\frac{\\left[A\\right]_{o}}{\\left[B\\right]_{o}}} \\end{aligned}$$\\mathbf{q}^{1/2}\\mathbf{t}=\\ln\\frac{\\{2\\gamma[\\mathbf{X}]/(\\mathbf{\\beta}-\\mathbf{q}^{1/2})\\}+1}{\\{2\\gamma[\\mathbf{X}]/(\\mathbf{\\beta}-\\mathbf{q}^{1/2})\\}+1}$[X]=$[A]_{0}$-[A]
$\\begin{aligned} & \\mathrm{t}\\ 1/2=\\frac{\\mathrm{a}}{\\mathrm{k}_{2}(\\mathrm{b}[\\mathrm{A}]_{\\mathrm{o}}-\\mathrm{a}[\\mathrm{B}]_{\\mathrm{o}}} \\\\ & \\times\\ln\\frac{\\mathrm{a}[\\mathrm{B}]_{\\mathrm{o}}}{2\\mathrm{a}[\\mathrm{B}]_{\\mathrm{o}}-\\mathrm{b}[\\mathrm{B}]_{\\mathrm{o}}} \\end{aligned}$
"} {"image_path": "images/86ff60a0a2550455ec9fbb8c6f4aee16.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SSR IDAnnealingtemperature (°C)Expected size ofPCR product (bp)Observed sizerange (bp)Number ofallelesNumber of repeatsPIC values
pPGPseq-3A0864152152-2006$taa_{(20)}$0.606
pPGPseq-8E1259198200-2302$ttg_{(6)}$, $taa_{(15)}$0.294
pPGPseq-14H659285280-38010$gt_{(31)}$0.543
pPGPseq-4G0260285300-4206$ga_{(9)}$, $gt_{(9)}$0.398
pPGPseq-17F658152120-3009$Ga_{(35)}$0.415
pPGPseq-13A758265280-3502$taa_{(10)}$0.292
pPGPseq-13A1057264270-3505$taa_{(12)}$0.464
pPGPseq-15E858298300-3803$taa_{(14)}$0.444
pPGPseq-4H1160269250-3507$ga_{(26)}, gt_{(26)}$0.294
pPGPseq-2D12B60265300-3909taa(16)0.619
pPGPseq-18C560281270-3207$taa_{(23)}$0.519
pPGPseq-2B1058259260-3104$taa_{(16)}$0.509
pPGPseq-2F0558262270-3004$taa_{(19)}$0.556
pPGPseq-12F757290230-2705$taa_{(12)}$0.566
pPGPseq-8D961132120-1706$Ctt_{(13)}$0.481
pPGPseq-3A0164238250-3006$taa_{(22)}$0.428
pPGPseq-15C1064203220-3007$taa_{(16)}$0.557
pPGPseq-3D0963292290-3006$ga_{(19)}, gt_{(9)}$0.557
pPGPseq-7G265225220-2804$tatc_{(12)}$0.531
pPGPseq-16C665230250-3004$ga_{(18)}$0.317
pPGPseq-10D462203200-3008$ga_{(24)}$0.557
pPGPseq-16G8 60 64194 282230-2907 8$taa_{(19)}$0.509
pPGPseq-1B0964282260-3408$ga_{(19)}$0.303
"} {"image_path": "images/e80d0bfdee353078ea093cbe36db1c43.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TABLE-1
DFT CALCULATION RESULTS AT EACH SITE OF INTERCALATION FROM MAJOR GROOVE
SiteC2G2/G3A3G3A3/A4G4A4G4/A5T5A5T5/T6A6T6A6/G7A7G7A7/A8G8A8G8/G9C9
$\\mathrm{E}_{\\text {total }}$ (a.u.)-10655.58-10639.61-10623.27-10623.35-10623.52-10639.52-10655.60
$\\mathrm{E}_{\\text {base }}$ (a.u.)-8507.43-8491.02-8474.92-8553.59-8474.95-8491.40-8507.43
$\\mathrm{E}_{\\text {ligand }}$ (a.u.)-2147.48-2147.48-2147.48-2147.48-2147.48-2147.48-2147.49
$\\mathrm{E}_{\\text {binging }}$ (a.u.)0.671.110.87-77.721.0850.630.69
$\\Delta \\mathrm{E}_{\\text {binding }}(\\mathrm{Kcal} / \\mathrm{mol})$424.29700.19547.74-48774.52681.26397.64436.52
"} {"image_path": "images/9aedf641baa578a3ec7dc4b68d49c2bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
结 构 类 型设 防 烈 度
6789
框架结构高度$\\leqslant 24$>24$\\leqslant 24$>24$\\leqslant 24$>24$\\leqslant 24$
框架
大跨度框架
框架-抗震墙结构高度/m$\\leqslant 60$>60$\\leqslant 24$25~60>60$\\leqslant 24$25~60>60$\\leqslant 24$25~50
框架
抗震墙
抗震墙结构高度/m$\\leqslant 80$>80$\\leqslant 24$25~80>80$\\leqslant 24$25~80>80$\\leqslant 24$25~60
抗震墙
部分框支抗震墙结构高度/m$\\leqslant 80$>80$\\leqslant 24$25~80>80$\\leqslant 24$25~80
抗震墙一般部位
加强部位
框支层框架
"} {"image_path": "images/cdb10fb02125afeeff73f42950fbf514.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
外 加 剂水 泥水灰比坍落度(厘米)抗 渗 性
品 种掺量(%)品 种用 量(公 斤$/米^3$)标 号渗透高度(厘米)
0 500号普通水泥300 0.6 1 ~ 38
NNO12640.61 ~ 315
0500号矿渣水泥3500.5568
NNO F0.83600.5515.59
NNO F0.53600.5510.58
0 500号矿渣水泥3800.545.26
木钙0.253800.485.630
0500号普通水泥3500.573.58
M F0.53500.49816
木钙0.253500.513.5>2010.5
"} {"image_path": "images/d92e70b7fc5bcff88eb4ea131f736fa3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompoundAb InitioRaw DataAb InitioFittedExp.
INDO/1AAMOMINDO/1AAMOM
B6 A4B2B6A4 A4B2
NN$\\overset{*}{O}$7.846.805.303.122.632.86$2.60^{\\mathbf{e}}$
$\\mathbf{N}_{2}$0.000.000.000.000.10-1.03-0.64-0.38$0.00^{\\mathbf{e}}$
HCN-2.01-2.34-3.89-2.48-1.50-2.27-2.50-1.89$-1.30^{\\mathrm{e}}$
$_{\\mathrm{NNO}}^{*}$-0.57 0.16-2.15-1.33-0.56 -1.69$-1.40^{\\mathrm{e}}$
$CH_3CN$-3.73-4.87-3.78-3.01-2.98-2.69$-3.80^{f}$
$\\text{NH}_{3}$-5.39-4.98-7.26-6.64-4.20-3.67-4.12 -4.44$-4 .38^{\\mathrm{e}}$
$\\sigma^{\\mathbf{g}}$0.810.710.61
R.948.947.972
$_{\\mathrm{A}^{\\mathrm{h}}}$.530.480.611
$_{\\mathrm{B}^{\\mathrm{h}}}$-1.030-.638-.379
CO4.085.44 4.086.722.77 3.03 2.942.73${2.94^{b}}$
NNO0.35 2.013.430.171.300.92$1.54^{b}$
$\\text{CO}_2$0.761.92.34.300.171.031.541.42$1.44^{b}$
$\\text{CH}_3$ CO$\\overset{*}{O}$H1.77 1.770.983.100.970.530.76$0.74^{e}$
HCO$\\overset{*}{O}$H2.011.363.481.080.840.98$0.67^{b}$
$\\mathrm{H}_{2}\\mathrm{O}$0.000.00 0.000.00-0.46-0.06-0.25-0.94$0.00^{b}$
$\\mathrm{CH}_{3} \\mathrm{CH}_{2} \\mathrm{OH}$ -0.60-0.920.08-0.40-0.95-0.88$-0.66^{e}$
$\\mathbf{CH}_3\\mathrm{OH}$-0.33-0.710.24-0.23-0.80-0.83$-0.80^{b}$
HC$\\overset{*}{O}$OH-0.820.031.63-0.52-0.25-0.06$-0.95^{b}$
$\\mathrm{CH}_{3} \\mathrm{C}$$\\overset{*}{O}$OH-1.99-0.981.28-1.20-1.03-0.23$-1.06^{e}$
$_{\\mathrm{H}_2{\\mathrm{CO}}}$0.90(1.50)(1.25)(4.16)0.25(0.80)(0.68)(1.36)$-1.66^{e}$
$\\mathrm{CH}_{3}\\mathrm{CHO}$ (0.03) (0.08)(3.29)(-.06)(-.17)(0.87)$-1.66^{e}$
$\\sigma^{\\mathbf{g}}$0.560.290.57
R.903.975.902
$\\mathrm{A}^{\\mathrm{h}}$.572.778.548
$\\mathrm{B}^{\\mathrm{h}}$-.060-.252-.940
"} {"image_path": "images/7583fd6e9058e090d8dbb387a5a56a34.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2015年凭证号摘要借方贷方余额工资及福利费五险一金差旅费通讯费办公费折旧费印花税工会经费教育经费水电费其他
1256付电费00.005500.00500.00
1267付水费00.022720.00220.00
12911计提工资00.0057668220.0067500.00
121213计提工会经费及教育经费00.086472900.002080.002600.00
121314交社会保险18.2056299402.8126502.81
121516钟强费用报销00.0591101352.811650.00300.00
121517张三费用报销00.0607108412.816500.00560.00
121920计提折旧费24.29211119705.2311292.42
122626办公费报销00.023120025.23320.00
123130计提印花税47.854120483.97458.74
123131结转至本年利润(用红字登记)120483.970.0067500.0026502.818150.00860.00320.0011292.42458.742080.002600.00720.000.00
本月合计79.384021120483.970.0067500.0026502.818150.00860.00320.0011292.42458.742080.002600.00720.000.00
"} {"image_path": "images/df150abcd4960688f387cacd1f2a18f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
元素电 子
K L M N
1s2s2p3s3p3d4s4p4d4f
1H1
2He2
3Li21
4Be22
5B221
6C222
7N223
8O224
9F225
10Ne226
11Na2261
12Mg2262
13Al22621
14Si22622
15P22623
16S22624
17Cl22625
18A22626
19K226261
20Ca226262
21Sc2262612
22Ti22
23V32
24Cr51
25Mn52
26Fe62
27Co72
28Ni82
29Cu22626101
30Zn102
31Ca226261021
32Ge1022
33As1023
34Se1024
35Br1025
36Kr226261026
"} {"image_path": "images/54766676b40606a1dcf0ed1b3dfaa783.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
Experiment
No.
Acetylene
Concentration
$\\left[\\mathrm{S}_{1}\\right]$ (low)
Enzyme Activity $K_m$
$\\nu_1$$\\nu_2$
milliatmnmol/minmilliatm
1 (Fig. 1A)
Median ${K_m}^a$
39.8
Mean $K_m$
$-55.6 \\pm 264$
2.223.859.553.3
2.229.510932.5
2.223.619.111.0
4.448.864.344.0
4.4414.395.337.7
4.449.557.231.9
11.1133.412860.4
11.1157.218139.8
11.1131.484.828.5
22.231.483.4110
22.275.315750.3
22.229.516.6-11.3
44.495.3228-315$^b$
44.4131275-984$^b$
44.419.113.1-21.2
2 (Fig. IB)
Median $K_m$
34.1Mean $K_m$
$ 74 \\pm 119 $
2.221012436.7
4.4414293537.0
6.677130031.5
11.1196628337.8
22.228846522.9
44.4324230-19.9
3 (Fig. IC)
Median $K_m$
24.5Mean $K_m$
$ 20\\pm 1.2 $
2.2234.831423.0
3.3373.061836.4
4.4455.029226.0
5.569.84528.0
6.6769.620216.2
11.1187.022526.0
22.235448212.2
44.4247225-7.3
"} {"image_path": "images/5be8f5b2fda6f0935bca21d34f42af18.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品名升温升压法紫外照射法
115 ℃ ,0.07 MPa,30 min115 ℃ ,0.07 MPa,20 min110 ℃ ,0.05 MPa,20 min3 h5 h7 h
细菌数霉菌数细菌数霉菌数细菌数霉菌数细菌数霉菌数细菌数霉菌数细菌数霉菌数
消脂减肥散0096 × 100$ 228\\times 10 $0$ 136\\times 10^{3} $12 × 10$112 \\times 10^{3}$9 × 10$ 56\\times 10^{3} $6 × 10
扶正清肝散008 × 100$ 92 \\times 10^{2} $0$ 204\\times 10^{2} $$8 \\times 10^{2}$$136 \\times 10^{2}$49 × 10$ 80\\times 10^{2} $35 × 10
乙肝康特胶囊00001 × 100$96 \\times 10^{2}$0$92 \\times 10^{2}$0 $52\\times 10^{2}$ 0
胃炎康胶囊00003 × 100$208 \\times 10$5 × 10$176 \\times 10$5 × 10$124 \\times 10$4 × 10
平癫丸0084 × 100$ 208\\times 10 $0$ 230\\times 10^{3} $12 × 10$ 196\\times 10^{3} $9 × 10$112 \\times 10^{3}$5 × 10
棉丹通肺化瘀胶囊0036 × 100$186 \\times 10$0$228 \\times 10^{3}$6 × 10$192 \\times 10^{3}$6 × 10$98 \\times 10^{3}$5 × 10
安神丸007 × 100$ 56\\times 10^{2} $0$176 \\times 10^{2}$18 × 10$124 \\times 10^{2}$14 × 10$ 52\\times 10^{2} $9 × 10
醒脑安神胶囊00$106 \\times 10$0$152 \\times 10^{2}$0$212 \\times 10^{3}$11 × 10$184 \\times 10^{3}$8 × 10 $96\\times 10^{3}$ 5 × 10
消渴降糖胶囊0041 × 100$ 78\\times 10^{2} $0$256 \\times 10^{2}$36 × 10$216 \\times 10^{2}$32 × 10$168 \\times 10^{2}$21 × 10
损伤胶囊00$152 \\times 10$0$112 \\times 10^{2}$0$256 \\times 10^{3}$14 × 10$192 \\times 10^{3}$10 × 10$164 \\times 10^{3}$6 × 10
显著性检验P<0.01P<0.05P<0.01P<0.05P<0.01P<0.05P>0.05 P>0.05 P>0.05 P>0.05 P>0.05 P>0.05
"} {"image_path": "images/20f9622938b95f4d7a3364a06cb08a0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$7 \\mathrm{w} \\rightarrow 4 \\mathrm{w}$(50°C)LH-1w → 7w/6w(50°C)$4 \\mathrm{w} \\rightarrow 7 \\mathrm{w} / 6 \\mathrm{w}$(50°C)$\\begin{gathered} \\text { Am } \\rightarrow 7 \\mathrm{w} / 6 \\mathrm{w} \\\\ \\left(50^{\\circ} \\mathrm{C}\\right) \\end{gathered}$
Hours11%RHHours100%RHHours100%RH74%RH65%RHHours100%RH
16w16w, 1w16w, 4w4w, 6w4w, 6wt1Am, 7w, 4w
74w, 6w46w, 1w46w6w, 4w4w, 6w46w
244w236w186w6w, 4w
426w
$7 \\mathrm{w} \\rightarrow 4 \\mathrm{w}$$~~\\left(21^{\\circ} \\mathrm{C}\\right)$$7 \\mathrm{w} \\rightarrow \\mathrm{Am}$$~~\\left(21^{\\circ} \\mathrm{C}\\right)$LH-1w → 7w/6w(21°C)$ \\begin{gathered} 4 \\mathrm{w} \\rightarrow 7 \\mathrm{w} / 6 \\mathrm{w} \\\\ \\left(21^{\\circ} \\mathrm{C}\\right)\\end{gathered} $$ \\begin{gathered} \\text { Am } \\rightarrow 7 \\mathrm{w} / 6 \\mathrm{w} \\\\ \\text { (21°C) } \\end{gathered} $
Hours11%RHHours<0.1%RHHours100%RHHours100%RH75%RH59%RHHours100%RH
17w, 6w0.36w, Am11w, 6w14w, 6w4w,6w4w1Am
76w, 7w0.76w, Am46w, 1w56w, 4w4w,6w4w, 6wt56w, 4w, Am
24$6 \\mathrm{w}, ~4 \\mathrm{wt}$16w, Am236w, 1w197w6w, 4w4w, 6w217w, 6w
436w1.36w, Am446w, 7w437w6w, 4w
676w, 4w2Am686w
1346w, 4w
1794w, 6w
224$4 \\mathrm{w}, 6 \\mathrm{wt}$
3514w
$7 \\mathrm{w} \\rightarrow 4 \\mathrm{w}$$~~\\left(5^{\\circ} \\mathrm{C}\\right)$$ \\underset{\\left(0^{\\circ} \\mathrm{C}\\right)}{7 \\mathrm{w} \\rightarrow \\mathrm{Am}} $LH-1w → 7w/6w(5°C)$4 \\mathrm{w} \\rightarrow 7 \\mathrm{w} / 6 \\mathrm{w}$$~~\\left(5^{\\circ} \\mathrm{C}\\right)$$ \\begin{gathered} \\text { Am } \\rightarrow 7 \\mathrm{w} / 6 \\mathrm{w} \\\\ \\text { (5°C) } \\end{gathered} $
Hours11%RHHours<0.1%RHHours100%RHHours100%RH75%RH59%RHHours100%RH
187w17w11w, 6wt184w, 6w4w, 6w4w, 6w1Am
377w66w46w, 1w376w, 7w, 4w6w, 7w, 4w4w, 6w31Am, 6w
1077w, 6w256w, Am316w, 1w1077w7w, 4wt6w, 7w, 4w1907w
2076w, 7w50Am687w2077w7w, 4wt
3216w3217w
6316w
8166w
$7 \\mathrm{w} \\rightarrow 4 \\mathrm{w}$$~~\\left(5^{\\circ} \\mathrm{C}\\right)$$7 \\mathrm{w} \\rightarrow \\mathrm{Am}$$~~\\left(-8^{\\circ} \\mathrm{C}\\right)$
Hours11%RHHours<0.1%RH
9596w
12706w87w
21576w, 4w18.56w
30446w, 4w55$6 \\mathrm{w}, 4 \\mathrm{w}$, Am
85874w, 6w157.56w, Am
128024w, 6w2086w, Am
186294w, 6w$500^{\\text{b}}$Am
240284w
"} {"image_path": "images/b2ede41240202012932b36af7462a655.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号书名出版日期定价
市场营销系列
273击败低价竞争对手——优质品牌如何应对低价竞争者2010年7月¥52.50
272天生购物狂——西方购物简史2010年7月¥48.50
270中外危机公关案例启示录2010年3月¥55.00
269客户天才2010年3月¥65.00
267营销人员薪酬与考核 (第三版)2010年2月¥49.50
266营销执行 (第二版)2010年2月¥45.00
262营销指标——公司高管和营销经理必须掌握的120个管理工具2009年10月¥49.50
258营销分析实务 (第五版)2009年9月¥50.00
257营销红皮书2009年8月$ ¥75.00 $
255中国式营销2009年8月¥65.00
251客户服务——面向21世纪的客户服务指导手册 (第三版)2009年4月¥65.50
249金牌创意——低成本的实效营销和广告创意指南2009年4月¥35.00
248完美服务——确保完美服务的101个方法2009年6月¥39.50
247赢得回头客2009年3月¥35.00
243营销方法——来自市场营销专业机构的105个实用营销方法与工具 (第三版)2008年8月¥100.00
241提前思考下两步——大型广告公司向你隐瞒的营销实战秘诀2009年1月¥39.50
240营销企划手册2009年1月¥75.00
238基层营销主管实战手册 (第三版)2008年10月¥45.00
233新时代的市场营销 (第13版)2008年6月¥75.00
231二三线市场实战手册 (第三版)2008年7月¥45.00
2305E营销——世界级消费品品牌已广为采用的最新营销方法2008年10月¥35.00
228低成本快营销——针对中小企业的101个实效营销创意2008年10月¥45.00
225营销天才2008年3月¥65.00
224价值营销——以公司成长与股东价值完美结合为基准的营销战略2008年3月¥75.00
223数据库营销——分众营销时代的营销利器2008年3月¥45.00
222对话营销大师2008年3月¥35.00
221公关的威力——新传媒时代高回报率营销传播指南2008年1月¥32.50
220营销人生存手册2008年1月¥39.50
219销量为王——中国企业征战全球市场的制胜法宝2008年1月¥45.50
218诊断一线营销2007年10月¥39.50
212最佳击球点——如何通过“最佳击球点营销”带动整个生意的增长2007年7月¥40.00
210卓越营销——英国营销协会大奖近年获奖案例集锦2007年8月¥59.50
209营销冠军——提升营销影响力使之真正成为企业的核心2007年7月¥49.50
197网络营销——抢占互联网商机的入门手册 (第二版)2006年12月¥35.00
196品牌代言——228个中外知名企业品牌代言全景报告2007年5月¥75.00
"} {"image_path": "images/20588bb2ea391cdc4403650e37de08cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.of Compounds No.of Data PointsAverage Absolute Deviations, %
SWPTYLTBIMLThis Work
ABABABABABAB
Paraffins153241.393.161.293.151.282.921.652.701.432.521.092.43
Cycloparaffins51420.603.111.223.371.522.631.151.571.532.150.712.03
Olefins51140.553.440.863.101.372.221.962.251.132.310.922.30
Diolefins1220.594.131.313.170.792.502.351.821.942.031.271.89
Acetylenes1130.986.441.235.521.334.171.072.930.861.840.902.13
Aromatics51530.585.220.764.280.784.441.641.570.992.470.892.40
Halocarbons71560.833.661.363.291.692.741.461.481.781.981.031.82
Alcohols51206.917.125.187.044.908.497.794.284.782.142.212.03
Ethers1210.963.891.063.181.043.071.252.551.622.000.841.84
Acetates1261.427.211.666.421.206.942.531.852.382.540.602.49
Ketones1250.9716.770.8315.750.4316.115.916.183.703.230.582.37
Acids1307.1928.076.0827.397.8427.772.9411.126.866.291.843.06
Water1364.9723.344.2422.414.7822.933.143.250.967.150.379.16
Ammonia1241.0417.480.7116.310.5416.331.853.653.253.190.604.27
Carbon Compourds 2432.973.722.294.143.543.861.172.452.301.591.471.70
Sulfides2220.938.941.237.921.345.460.763.511.002.460.963.16
Elementary Gases6951.15a3.22a1.22a3.49a3.473.412.182.531.612.711.632.84
Average6013661.79a5.68a1.74a5.40a2.045.212.312.661.942.551.122.49
"} {"image_path": "images/aab2177eef9888b3b8b4a69180433c6e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RSpin mode of $Cr^{3+}$Moment of $Cr^{3+} (\\mu B)$Spin modeof $R^{3+}$Moment of$R^{3+}$ (at 4.2°K)$T_{N1} $(°K)$T_{N2} $(°K)
(80°K)(4.2°K)(80°K)(4.2°K)
LaGG$2.45^5$282
Ce257
PrG$G_x$2.462.46Fz0.5±0.4239
$G_x$2.52
NdGor2.52Cz1.3224~10
$G_{xy}$60°2.55
Sm192
Eu181
Gd170
Tb$G_z$$G_z$2.552.85Cz; X1.4;8.51581.5<$T_{N^2}$<4.2
$Dy^a$$G_z$$G_z$C; F1461.5<$T_{N^2}$<4.2
Ho$G_{xz}$86°$G_z$2.702.94$F_x ; C_y$3.4; 7.0141~12
Er$G_x$$G_{xy}$47°2.452.90Cz5.213316.8
Tm$G_{xz}$62°$G_x$2.242.58Fz0.8±0.4124>4
Yb$G_{xz}$68°$G_{xz}$68°2.442.80not observed118
Lu$G_{xz}$63°$G_{xz}$63°2.272.51112
Y$G_x$$G_x$2.562.96141
"} {"image_path": "images/87c7233f01f2ccd701052f6e964250e7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Age Group4;0 - 4;54;6 - 4;115;0 - 5;55;6 - 5;116;0 - 6;5
CCN4911136
TCr.t1t2t1t2t1t2t1t2t1t2
1
3
lp 1
3
lt1
3
ns1
3
nt1
3
ŋk1
3
st1
3
çt1
3
nst1
3
"} {"image_path": "images/6538b249ea42d97d2f9a39becee8c95f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Species Area(country)surveyedVertical distribu-tion range(m)Body size capturedSpawningFecundityRecruitmentSize at first matur-ity(cm) Sex ratio(M:F) Growth(rate or coeffi-cient)Mor-tality(coef-fi-cient) Life span(year) Food organ ismsLength-weight relationship
Mean(cm)Maxi-mum(cm)AreaSeason(month)Size(cm)Season(month)
FAMILY SERGESTIDAE$\\underline{Acetes} \\\\~\\underline{ erythraeus}$Quff of Thai fand${_-^a}$$^/$-0.8-3.33.3------0.78.1-----
$\\underline{Acetes} \\\\~\\underline{indicus}$Quff of Thai fand${_-^a}$$^/$-1.4-2.63.3------0.6:1-----
$\\underline{Acetes} \\\\~\\underline{ japonicus}$Quff of Thai fand${_-^a}$$^/$-0.7-2.12.2------0.51:1-----
$\\underline{Acetes} \\\\~\\underline{ vulgaris}$Quff of Thaif and${_-^a}$$^/$-1.0-2.73.3------1.13:1-----
"} {"image_path": "images/46cc8be70367881a66452c71c01bbca6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CN中國內地89713102
F8法國433
GB英國2@
JP日本1@82
TH泰國61243
TW台灣9@144
US美國32
88411總計 TOTAL2498107116
隱形眼鏡 (片)CONTACT LENSES (NO.)
AE阿拉伯聯合酋長國62072
AU澳大利亞240@984 2404,805
BE比利時376252 871190
"} {"image_path": "images/65574f915dbb4cb71c737d7684c823fc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
12345678
时间/min压力/MPa温度梯度($$^\\circ\\text{C/100 }$$)/℃
1. 62. 02. 42. 73. 13. 5
井深;4 880 m 钻井液密度:1. 47 kg/L
08 300272727272727
211 000292930303131
413 100313233343536
615 900333436373941
818 600353739414345
1021 400373942444750
1223 400394245485154
1426 200414448525659
1629 000434751565964
1831 000455054596468
2033 800475258636873
2236 500495561667278
2439 300515864707682
2641 400536067738087
2844 100566370778492
3046 900576573818896
3249 0005968768493101
3451 7006271798897106
3654 50064738292101110
3856 50066768695105115
4059 30068788899109119
4262 100708192102113124
4464 800728394106117129
4666 900748698109122133
4869 6007688101113126138
5072 4007891104117129143
5274 5008093107121134147
5477 2008296110124138152
5578 6008397112126140154
升温速率/($$^\\circ\\text{C/min}$$)1. 031. 281. 541. 802. 062. 31
升压速率1 278 kPa/min
升温升压时间55 min
"} {"image_path": "images/f36140f5729ebbc64242689e1e63f1b6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$P_{5}$, atm$T_{5}$, KEndwall ignition time, μs$P_{5}$,atm$T_{5}$,KEndwall ignition time, $\\mu s$
n-pentane, $\\phi=1.0$, $4\\%\\mathrm{~O}_2/\\mathrm{Ar}$n-nonane,$\\phi=1.0$, $4\\%\\mathrm{~O}_2/\\mathrm{Ar}$
1.7414891451.8513071002
1.8314262811.6812881351
1.9113606031.801384382
1.95130412271.861367499
2.00126718451.911330780
3.6113038323.631348405
3.75126114553.4612631237
3.4713953163.581372318
3.4114491623.451359349
3.6112681296n-pentane,$\\phi=0.5$, $4\\%\\mathrm{~O}_2/\\mathrm{Ar}$
n-hexane,$\\phi=1.0$, $4\\%\\mathrm{~O}_2/\\mathrm{Ar}$1.651396255
1.92128413171.7312631391
1.9013536231.71153349
1.7613586881.621428153
1.7714701761.751397232
1.861375483n-hexane, $\\phi=0.5$,$4\\%\\mathrm{~O}_2/\\mathrm{Ar}$
1.93123727061.77147578
3.32127310461.7612741225
3.6013963011.891361303
3.10125018051.671367308
3.4813862911.691403196
3.431407263n-octane, $\\phi=0.5$, $4\\%\\mathrm{~O}_2/\\mathrm{Ar}$
n-octane,$\\phi=1.0$, $4\\%\\mathrm{~O}_2/\\mathrm{Ar}$1.911434104
1.9513258591.981307663
2.05126515692.071273988
2.01128911982.19 2.011252 13801269
1.9613853902.011380220
1.871455166n-nonane,$\\phi=0.5$, $4\\%\\mathrm{~O}_2/\\mathrm{Ar}$
3.37128210201.671403190
3.5914212101.781399180
3.6313842851.751331421
3.7513196141.871350317
3.81127310641.811299730
1.921305536
1.961284781
1.841385231
1.82147093
"} {"image_path": "images/4794952a9745fd4871ce81e25adff2b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
Khaki 2,sample AKhaki 2, sample BKhaki 1, sample CKhaki 1, sample D
Ca/K$^{40}Ar^{b}$$\\%^{40} \\mathrm{Ar}^{*}$Age $\\pm 1 \\sigma^{a}$Ca/K$^{40}Ar$$\\%^{40} \\mathrm{Ar}^{*}$Age $\\pm 1 \\sigma$Ca/K$^{40}Ar$$\\%^{40} \\mathrm{Ar}^{*}$Age $\\pm 1 \\sigma$Ca/K$^{40}Ar$$\\%^{40} \\mathrm{Ar}^{*}$ Age $\\pm 1 \\sigma$
0.0218.113.5$ 324\\pm 30 $0.0142.476.6$\\cdot371 \\pm 11$0.1220.485.1$ \\cdot304\\pm 6$0.0553.069.9$\\cdot 302\\pm 12$
0.0281.262.8$\\cdot362 \\pm 24 $0.0253.481.8$ \\cdot 380\\pm 7 $0.1180.582.7$ \\cdot 323\\pm 6 $0.0543.268.6$\\cdot 311\\pm 10$
0.0473.765.7$\\cdot388 \\pm 4 $0.0081.779.1$ \\cdot 393\\pm 16 $0.0342.664.2$ -324\\pm 4 $0.0404.374.4$ 314\\pm 8 $
0.0221.673.7$\\cdot 388 \\pm 6$0.0143.143.1$405\\pm 21 $0.0370.977.1$ \\cdot327 \\pm 7 $0.0443.068.3$\\cdot 315 \\pm 11$
0.0543.184.7$\\cdot390 \\pm 3 $0.0472.881.6$ 457\\pm 12 $0.0441.684.3$ \\cdot 331\\pm 4$0.0464.266.8$\\cdot 319 \\pm 10$
0.0212.583.9$ \\cdot 397\\pm 4 $0.2451.568.6$ 464\\pm 25 $0.0520.889.5$ \\cdot 334\\pm 6 $0.0485.971.7$ \\cdot 320\\pm 7 $
0.0172.571.1$\\cdot397 \\pm 5 $0.12222.052.4$ 491\\pm 5$0.0160.762.9$\\cdot 338\\pm 7 $0.0424.380.2$\\cdot 330 \\pm 8$
0.0202.486.2$\\cdot400 \\pm 4 $0.0394.476.8$ 509\\pm 12 $0.1130.573.0$-338\\pm 8 $0.0673.070.1$\\cdot 332\\pm 13$
0.0172.071.7$ \\cdot 403 \\pm 16 $0.0913.777.4$ 510 \\pm 14 $0.0390.981.0$ \\cdot 341\\pm 6 $0.1202.480.6$\\cdot 333 \\pm 12$
0.0361.878.3$440 \\pm 9 $0.0277.743.0$ 592\\pm 17 $0.0471.469.1$ \\cdot 344\\pm 6 $0.07220.020.9$ 347\\pm 12 $
0.0122.077.2$446 \\pm 1 5 $0.04611.736.9$ 626\\pm 17 $0.0491.280.3$ 350\\pm 6 $0.0617.851.3$ 469\\pm 10 $
0.1034.784.6$449\\pm 4$0.0624.688.5$ 917\\pm 17 $0.1152.433.3$ 363\\pm 9 $0.02310.285.6$ 992\\pm 8 $
0.0441.973.6$ 449\\pm 12 $0.0356.592.6$ 928\\pm 12 $0.0610.878.7$ 384\\pm 5 $0.03813.089.4$ 1225\\pm 8 $
0.0274.963.8469±90.0476.986.8$ 47\\pm 13 $0.0401.582.0$ 388\\pm 5$
0.05039.96.7$478\\pm 24 $0.0580.672.5$ 404\\pm 7 $
0.0749.027.2$546 \\pm 12$0.1040.774.4$413 \\pm 10$
0.0504.382.9$929\\pm 6$0.4265.528.5$ 435\\pm 13 $
0.05711.683.1$1,213 \\pm 19$0.0761.375.4$ 513\\pm 9$
0.0472.287.3$ 958 \\pm 8$
Overall wtd.mean=$443 \\pm 33$$ 528\\pm 48$$ 374 \\pm 27 $$ 435\\pm 78 $
Select wtd.mean=$394 \\pm 3$$ 381\\pm 7$$ 332\\pm 3 $$ 319\\pm 4 $
Predominant mode =397380332318
"} {"image_path": "images/04bba08a6a5f945cdc3674a4738095ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
E(MPa)≈21,200slab$f_c$(MPa)≈22.5$p_x$(top)$E_{s0}$(MPa)181,500$\\rho_y$ (top)$f_y$(MPa)450$\\rho_x ^{\\prime}$ (bottom)$\\rho_y ^{\\prime}$ (bottom)h(mm)$N_x$(kN/m)$N_y$(kN/m)
A20.004020.004020.004020.0040264.70584.5
A30.003980.007960.003980.0079665.30586.8
A40.007960.003980.007960.0039865.30587.0
"} {"image_path": "images/cbf95189a11fdda83b86f3dabadd065c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n
${D_{0}=0.5~\\mathring{\\mathrm{A}}} $$\\mathrm{C}_{34,34}$$ C_{24,35}^{s-s} $$ C_{24,35}^{t-t} $$\\mathrm{C}_{16,16}$$\\mathrm{C}_{24,24}=\\mathrm{C}_{35,35}$
Double CI-0.28460.19630.1790-0.1063-0.0598
LSC-RPA-0.31890.30030.1407-0.1307-0.0823
$C_{14,36}^{s-s}$$ C_{14,36}^{t-t} $ $C_{24,26}$ $\\mathrm{C}_{26,26}$ $\\mathrm{C}_{36,36}=\\mathrm{C}_{14,14}$
Double CI0.16910.1477-0.0668-0.0493-0.0454
LSC-RPA0.25120.1298-0.0822-0.0658-0.0605
$D_0$=1.0 $\\mathring{\\mathrm{A}}$$C_{34,34}$$\\mathrm{C}_{24,35}^{s-s}$$ C_{24,35}^{t-t} $${C}_{16,16}$$\\mathrm{C}_{24,24}=\\mathrm{C}_{35,35}$
Double CI-0.27450.17960.1636-0.0860-0.0641
LSC-RPA-0.28060.25970.1261-0.1006-0.0861
$C_{14,36}^{s-s}$$C_{14,36}^{t-t}$ $C_{24,26}$ $C_{26,26}$$\\mathrm{C}_{36,36}=\\mathrm{C}_{14,14}$
Double CI0.15310.1336-0.0632-0.0435-0.0445
LSC-RPA0.21980.1126-0.0776-0.0537-0.0605
$D_0$=2.0 $\\mathring{\\mathrm{A}}$$\\mathrm{C}_{34,34}$C ${ }_{24,35}^{s-s_{0}}$C $^{t-t}_{24,35}$$C_{16,16}$$\\mathrm{C}_{24,24}=\\mathrm{C}_{35,35}$
Double CI-0.25030.15230.1332-0.0582-0.0614
LSC-RPA-0.23640.20100.1044-0.0641-0.0761
$\\mathrm{C}_{14,36}^{s-s}$C$_{14,36}^{t-t}$ $\\mathrm{C}_{24,26}$ $\\mathrm{C}_{26,26}$ $\\mathrm{C}_{36,36}=\\mathrm{C}_{14,14}$
Double CI0.11870.1049-0.0511-0.0322-0.0370
LSC-RPA0.16350.0823-0.0614-0.0367-0.0479
$D_0$=4.0 $\\mathring{\\mathrm{A}}$$\\mathrm{C}_{34,34}$ $C_{24,35}^{s-s}$C $^{t-t}_{24,35}$$\\mathrm{C}_{16,16}$$ C_{24,24}=C_{35,35} $
Double CI-0.20950.11200.0943-0.0332-0.0474
LSC-RPA-0.19240.13910.0760-0.0351-0.0537
$C_{14,36}^{s-s}$C $^{t-t}_{14,36}$ $C_{24,26}$ $C_{26,26}$$C_{36,36}=C_{14,14}$
Double CI LSC-RPA0.0744 0.0694 -0.0333-0.0199-0.0256
LSC-RPA0.10160.0476-0.03770.0.212-0.0301
$D_0$=8.0 $\\mathring{\\mathrm{A}}$$\\mathrm{C}_{34,34}$C $^{s-s}_{24,35}$ $C_{24,35}^{t-t}$$C_{16,16}$$ C_{24,24}=C_{35,35} $
Double CI-0.15630.6830.0577-0.0171-0.0305
LSC-RPA-0.14600.8470.0285-0.0176-0.0323
$\\mathrm{C}_{14,36}^{s-s}$C ${ }_{14,36}^{t-t}$c $_{24,26}$ $\\mathrm{C}_{26,26}$ $\\quad C_{36,36}=C_{14,14}$
Double CI0.03800.0388-0.0175-0.0110-0.0156
LSC-RPA0.05370.0291-0.0188-0.0122-0.0169
"} {"image_path": "images/b3bead21d82226c8f3581644c529f1aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
APCTLLateralCTL
Erect529530531Erect544545546
Side bend L532533534Flexed547548549
Side bend R535536537Extended550551552
Rotation L538539540Protracted553554555
Rotation R541542543Retracted556557558
"} {"image_path": "images/005de7e6d2e9ea45f2afc10f9b9e140e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\beta$T struc-tureTq co-structure
X = 0.1X = 1q struc-tureSum
1$0.2B/\\beta $$2B/\\beta $$(B/\\beta)^2$X = 1
210.00590.0590.000871.059
110.01180.1180.00351.122
0.510.02360.2360.01391.250
0.2510.04720.4720.0561.528
0.12510.09440.9440.2232.167
"} {"image_path": "images/e17058d8a21005d6084fa0311ac3b335.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Name of substanceSolventMolecular weight
Light-scatteringmethod Osmo-metricmethodViscosi-metricmethod
Polystyrene Ⅰ (thermal polymer)Benzene385,000
Polystyrene Ⅱ (prepared withinitiator)Benzene200,000
Polymethyl methacrylate(fractionated) ⅠAcetone417,000
Same, ⅡAcetone588,000
Same, ⅢAcetone625,000
Same, ⅣAcetone2,000,000
Butadiene-styrene rubber(sol fraction)Toluene200,00096,000
Butadiene-styrene rubber(technical)Benzene370,000440,000
Brominated rubber(pale crepe)Natural rubber(smoked sheet)Chloroform$Toluene^{*} \\dagger$400,000
200,000-
280,000
200,000-240,000178,000-200,000
Natural rubber (pale crepe,middle fraction)$Toluene^{*} \\dagger$215,000-270,000220,000200,000
"} {"image_path": "images/4d4a5c5fa5e8788cd42f7ab206a903c6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号标本号岩 性样品位置切片性质切面产状所测矿物及面网X 光衍射图特征恢复石英光轴点极密产状组构与宏观构造的关系星微组构解释
面产状线产状
1B01-2片状大理岩营毛沱ac0°/W50°$270^{\\circ}∠50^{\\circ}$方解石(1120)平行切面的大圆环带方解石光轴点极密与b轴一致点极密与运动学b轴一致中高温韧性变形柱面Ⅰ型滑移
2B08-6绢英质糜棱岩独山S$260^{\\circ} / \\mathrm{NW} 80^{\\circ}$ $260^{\\circ}∠0^{\\circ}$ 石英(1120)近于平行切面的大圆环带石英光轴点极密与 $b$ 轴一致点极密与运动学 $b$ 轴一致中高温韧性变形,柱面Ⅰ型滑移
3B22-4 片状糜棱岩平头山南ac$ 220^{\\circ} / \\mathrm{NW} 55^{\\circ} $$ 190^{\\circ}∠45^{\\circ} $石英(1120)比较弱的垂直 a 的 bc大圆环带次环带近于平行 ab 面石英光轴点极密与a轴一致点极密与c轴接近点极密与运动学a轴一致点极密垂直 $S$, 与 c 轴接近中高温韧性变形,柱面 Ⅱ 型滑移中低温韧脆性变形,近底面滑移
4B31-4花岗质糜棱岩青石泉ac$265^{\\circ} / \\mathrm{NW} 45^{\\circ}$$ 280^{\\circ} ∠ 15^{\\circ} $石英(1120)近于平行切面的大圆环带次环带近于平行ab面石英光轴点极密与 b 轴一致点极密与 c 轴接近点极密与运动学 $\\mathrm{b}$ 轴一致点极密垂直 $\\mathrm{S}$, 与 $\\mathrm{c}$ 轴接近中高温韧性变形,柱面Ⅰ型滑移中低温韧脆性变形,近底面滑移
5B36-5花岗质糜棱岩五峰山S$80^{\\circ} / \\mathrm{NW} 17^{\\circ}$$ 80^{\\circ}\\angle 0^{\\circ} $石英(1120)无优选方位
6B51-5糜棱片岩古堡泉S$290^{\\circ} /$ SW18 ${^{\\circ}$$ 290^{\\circ}∠0^{\\circ} $石英(1120)平行a轴且与ab面近于平行的大圆环带点极密与c轴接近点极密与宏观面理垂直中低温韧脆性变形,近底面滑移
7B74-1千糜岩小西弓S$285^{\\circ} /$ NE $14^{\\circ}$$ 105^{\\circ}∠0^{\\circ} $绢云母(004)无优选方位
8B78-4含金石英脉小西弓S$205^{\\circ} / \\mathrm{NW} 30^{\\circ}$$ 205^{\\circ}∠<0^{\\circ} $石英(1120)石英(1120)交代成因石英,无优选方位主极密和两个次极密呈 60°角
9B81-1千枚岩小西弓
金矿区
S290°/SW08°$ 290^{\\circ}∠0^{\\circ} $石英(1120)构成与 ab 面呈 $30^{\\circ}$ 夹角的不完整大圆环带主环带近于平行 ac 面主极密与S面理近于垂直主板密近于平行b轴点极密与宏观面理垂直点极密运动学 b轴一致中低温韧性变形,近底面滑移中高温韧性变形,柱面Ⅰ型滑移
10B82-4花岗质糜棱岩小西弓
金矿区
ac$ \\text{ son}^{\\circ} /\\mathrm{s} 56^{\\circ} $$ 250^{\\circ}∠40^{\\circ} $石英(1120)石英(1120)次环带 1 近于平行 ab 面次环带 2 近于平行 bc 面次极密近于平行c轴次极密近于平行a轴次极密近于垂直宏观面理点极密运动学a轴接近中低温韧性变形,近底面滑移中高温韧性变形,柱面Ⅱ型滑移
11B83-20糜棱岩小西弓
金矿区
ac110\"NES\" $110^{\\circ}$ NES$ 110^{\\circ}∠0^{\\circ} $石英(1120)主环带近于早行ac面次环带近于早行ab面点极密与 b 轴接近次极密近于平行 c 轴点极密平行 $\\mathbf{S}$ 面理和 $\\mathbf{b}$ 轴次极密近于垂直宏观面理中高温韧性变形,柱面Ⅰ型滑移中低温韧脆性变形,近底面滑移
12B86-2千糜岩小西弓S绢云母(004)无优选方位
13B91-8石英质糜棱岩小西弓
金矿区
ac$100^{\\circ} / \\mathrm{NE} 15^{\\circ}$$ 100^{\\circ}∠<0^{\\circ} $石英(1120)主环带与ac面接近次环带与bc面接近主点极密与b轴接近次点极密与a轴接近点极密与宏观面理垂直次极密平行于a线理中高温韧性变形,柱面Ⅰ型滑移中高温韧性变形,柱面Ⅱ型滑移
14B101-3黑云母片岩古堡泉S水平$295^{\\circ}∠0^{\\circ}$石英(1120)无优选方位
15B102-10黑云母片岩古堡泉S$250^{\\circ} / \\mathrm{SE} 15^{\\circ}$$250^{\\circ}∠0^{\\circ}$石英(1120)无优选方位
16B109-7花岗片麻岩古堡泉S$278^{\\circ} / \\mathrm{SW} 52^{\\circ}$ $278^{\\circ}∠0^{\\circ}$ 石英(1120)无优选方位
17B121-4石英质糜棱岩白墩子S$260^{\\circ} / \\mathrm{NW} 10^{\\circ}$$260^{\\circ}∠0^{\\circ}$石英(1120)主环带近于平行ab面点极密与c轴接近点极密与宏观面理垂直中低温韧脆性变形,近底面滑移
18B122-1变形花岗岩白墩子S $270^{\\circ}/\\mathrm{N} 15^{\\circ}$ $270^{\\circ}∠0^{\\circ}$石英(1120)主环带近于平行 ab 面点极密与c轴接近点板密与宏观面理垂直中低温韧脆性变形,近底面滑移
19B126-8变形花岗岩白墩子S$-260^{\\circ} / \\mathrm{NW} 32^{\\circ}$$260^{\\circ}∠0^{\\circ}$石英(1120)无优选方位
20B134-1构造片岩白墩子
地区
S270°/N17· 270°/N17·$270^{\\circ}∠0^{\\circ}$石英(1120)主环带与ac面接近次环带近于平行ab面主点极密与 b 轴接近次极密近于平行 c 轴点极密与宏观面理垂直次极密近于垂直宏观面理中高温韧性变形,柱面Ⅰ型滑移中低温韧脆性变形,近底面滑移
21B18-1片状大理岩黑山S$287^{\\circ} /$ SW3 ${ }^{\\circ}$$287^{\\circ}∠0^{\\circ}$方解石(1120)无优选方位
"} {"image_path": "images/d59b3fcd158a3c70878c412ea31e009a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Originof foodRetinol$\\alpha-Carotene$$\\beta -Carotene$$β-Cryptoxanthin$
Fooditem$\\begin{array} {c}\\mathrm{\\mu g~RAE/} \\\\ \\mathrm{woman/} \\\\ \\mathrm{day} \\end{array}$Fooditem$\\begin{array} {c}\\mathrm{\\mu g~RAE/} \\\\ \\mathrm{woman/} \\\\ \\mathrm{day} \\end{array}$Food item$\\begin{array} {c}\\mathrm{\\mu g~RAE/} \\\\ \\mathrm{woman/} \\\\ \\mathrm{day} \\end{array}$Food item$\\begin{array} {c}\\mathrm{\\mu g~RAE/} \\\\ \\mathrm{woman/} \\\\ \\mathrm{day} \\end{array}$
Animal$Fish^{a}$55
Egg35
Cow milk34
Cheese20
Butter10
Yogurt8
Meat andpoultry4
PlantCarrot14Carrot90$Citrus\\quad fruits^{b}$67
Green leaves72Persimmon6
Pumpkin26
$Citrus~ ~fruits^{b}$14
Tomato9
Laver6
Persimmon4
"} {"image_path": "images/221b1e923bef237ca3c619d63fb0cb7c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
职 位本 公 司 调查 1:24 家规模、类型相似的企业调查 2: 财务调查 62 家规模相似的企业合 并
编码#加权平均/美元编码#加权平均/美元% ±编码#加权平均/美元% ±#加权平均/美元% ±
VP 控制员FIN0011175.0AC10023200.0-12.5%00558195.0-10.3%81196.4-10.9%
Dir 会计FIN0022115.0AC11098125.0-8.0%98125.0-8.0%
Mgr 会计FIN003480.0AC11525690.0-11.1%10098589.0-10.1%1 24189.2-10.3%
会计 IVFIN004257.0AC1201 45665.0-12.3%1503 45669.0-17.4%4 91267.8-15.9%
会计 IIIFIN005740.7AC1213 75454.0-24.6%1514 56755.0-26.0%8 32154.5-25.4%
会计 IIFIN006529.7AC1222 54343.0-30.9%1522 56842.0-29.3%5 11142.5-30.1%
会计 IFIN007322.4AC1231 26532.0-30.0%1531 34529.0-22.8%2 61030.5-26.4%
会计工作族2455.89 39551.87.7%12 97956.7-1.5%22 37454.62.1%
VP 信息主管IT0011185.0IT10020225.0-17.8%20225.0-17.8%
Dir 软件开发IT11040140.040140.0
Mgr 软件开发IT0034107.5IT115434125.0-14.0%434125.0-14.0%
软件工程师 IVIT004389.0IT1201 24594.0-5.3%1 24594.0-5.3%
软件工程师 IIIIT005870.0IT1212 85675.0-6.7%2 85675.0-6.7%
软件工程师 IIIT006553.0IT1221 75657.0-7.0%1 75657.0-7.0%
软件工程师 IIT007541.0IT1231 28743.0-4.7%1 28743.0-4.7%
IT/软件工作族2673.57 63872.17.9%763872.11.9%
简单平均5065.017 03360.96.7%12 97956.714.8%30 01259.110.0%
加权平均5065.05062.44.2%5058.810.7%5063.72.0%
"} {"image_path": "images/f5cf88b7b063be70083397334e9e44f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0.800.2040.898 20.100.1660.91720.520.1450.92720.750.1240.93821.00
0.850.2160.89221.200.1760.91221.680.1540.92321.930.1320.93422.21
0.900.2290.88522.300.1870.90622.800.1630.91823.100.1400.93023.30
0.950.2420.87923.310.1970.90123.940.1720.91424.270.1480.92624.60
1.000.2550.87224.450.2070.89625.070.1810.90925.430.1560.92225.80
1.100.2800.86026.450.2280.88627.270.1990.90027.700.1710.91428.12
1.200.3050.84728.450.2490.87529.370.2170.89129.900.1870.90630.42
1.300.3310.83430.350.2700.86531.090.2350.88232.080.2020.88932.33
1.400.3560.82232.190.2900.85533.470.2530.87334.200.2180.89134.90
1.500.3820.80933.950.3110.84435.480.2710.86436.300.2330.88337.10
1.600.4070.79635.670.3320.83437.300.2890.85538.300.2490.87539.20
1.700.4330.78337.250.3530.82339.200.3070.84640.250.2640.86841.28
1.800.4580.77138.800.3730.81340.950.3250.83742.160.2800.86043.30
1.900.4840.75840.270.3940.80342.650.3430.82844.000.2960.85245.30
2.000.5090.74541.700.4150.79244.360.3610.81945.800.3110.84447.25
2.100.5350.73243.000.4360.78246.000.3790.81147.600.3270.83649.20
2,20 $p_{max}$0.550$\\begin{array}{c}= 2.16 \\\\0.725\\end{array}$%43.800.4560.77247.560.3970.80149.400.3420.82951.00
2.300.4770.76149.000.4150.79251.000.3580.82152.80
2.400.4980.75150.450.4340.78352.600.3730.81354.60
2.500.5190.74051.750.4520.77454.180.3890.80556.25
2.600.5390.73053.100.4700.76555.650.4040.79858.10
2.70 $p_{max}$0.550=2.650.725%53.700.4880.75657.200.4200.79059.70
2.800.5060.74758.500.4760.78261.27
2.900.5240.73859.800.4510.77462.75
3.000.5420.72961.100.4670.76664.30
3.10 $p_{max}$0.550=3.040.725%61.600.4820.75965.80
3.200.4980.75167.20
3.300.5130.74368.60
3.400.5290.73569.90
3.500.5440.72871.30
$p_{max}$0.550=3.540.725%71.80
"} {"image_path": "images/fde87443e553b3427bca6e2bcef4bbaa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
共計六月五月四月三月二月二十年一月十九年十二月年月
項目
一九八四八三一九五三三六三三八四五二三四一一二〇四二六一四三二八六路工工數
一三OOO二五OO一五OO二五OO二五OO二二OO一八OO長度(公尺)工作成績
一三OOOO二五OOO一五OOO二五OOO二五OOO二五OOO一五OOO面積(平方公尺)
附註
"} {"image_path": "images/14a203b0e5105d406e519bbb6557780c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Species$\\lambda, \\mathring{A}$log gfSAO 21450DL Cass10205DL Cass15811SAO 21482
C I4770.000-2.03--46.0107.0
4775.910-1.9998.0---
4817.370-2.3564.0--22.0
4826.800-1.84---50.0
5052.170-1.29159.0---
5380.340-1.68140.0---
5800.590-2.31-16.50-25.0
6001.120-1.8830.0--10.0
6010.680-1.8732.0--10.0
6014.830-1.6635.0-12.010.0
6587.610-1.1393.0-31.021.0
6655.510-1.7936.0-16.0-
7087.830-1.40---16.0
7111.480-1.1786.0---
7113.180-0.79127.0-43.056.0
7115.190-0.72120.055.562.064.0
7116.990-0.88119.062.046.047.0
7119.670-1.01109.045.0--
7132.110-1.7332.014.0--
7662.440-1.0192.0--19.0
7837.110-1.4445.0---
N I7442.290-0.1545.041.031.0-
7468.3000.0561.046.024.68.0
O I6156.770-0.2743.0-18.08.0
6158.180-0.2651.0-32.08.0
6300.300-9.8340.030.064.0140.0
6363.780-9.9930.0-38.057.0
7774.1700.17---75.0
7775.390-0.15---36.0
Na I4497.680-1.5828.0---
4668.570-1.2443.0---
4751.830-1.9911.5---
5148.840-2.0910.0-30.0137.0
5682.650-0.52125.0158.0--
5688.220-0.45135.0159.0--
6154.230-1.5427.0-79.0159.0
6160.750-1.2259.0-144.0-
Mg I4571.100-5.46109.0---
4730.040-2.1283.0---
5711.090-1.6997.0---
6318.710-1.9636.0--146.0
6319.240-2.2810.0-106.0117.0
7930.820-1.28--83.0-
8209.850-2.03--43.0-
Al I6696.030-1.5325.0025.20114.00-
6698.670-1.8412.0028.00-154.00
7084.660-1.1015.00---
7362.280-0.88-21.6049.00-
7835.320-0.7430.00-76.00159.00
7836.130-0.6034.0047.00109.00-
"} {"image_path": "images/53790874095e46b9e40f1c1156db7c21.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
5-Phenyltetrazole$\\mathrm{C}_{6} \\mathrm{H}_{5} \\mathrm{CN}_{4} \\mathrm{H}$.White powder116-117ealCu and alloys
piperidine salt(T-4)$ H N C_{5} H_{10} $
5-Aminotetrazole(hydrate) (ATet)$\\mathrm{NH}_{2} \\mathrm{CN}_{4} \\mathrm{H} \\cdot \\mathrm{H}_{2} \\mathrm{O}$White powder200-204(decomp.)w, ealSteel, $\\mathrm{Cu}$ and itsalloys
Carboxylic acidsand their salts
Oleic acid$ \\begin{aligned}& \\mathrm{C}_{18} \\mathrm{H}_{17} \\mathrm{CH}= \\\\& \\mathrm{CH}\\left(\\mathrm{CH}_{2}\\right)_{7} \\\\& \\mathrm{COOH}\\end{aligned} $Brown liquid0.89516(286 Pa)eal,e,bz,chFe, steel
Pelargonic(nonanoic) acidCH3$(CH_2)_7$COOHLiquid0.90Moderatevolatility12.5(253-255)eal, ch, bz,acSteel
Sodiumbenzoate(SB)$\\mathrm{C}_{6} \\mathrm{H}_{5} \\mathrm{COONa}$White powder0.96$\\mathrm{w}$, eal,pyridineSteel, alloys, $\\mathrm{Al}$,Sn, bronze
NitrocompoundsMineral nitrated oil(AKOR)-Oily liquid ofdark brown toblack color44-45mineral oils,organicsolventsSteel, cast iron,Cu and alloys, AI
Natural compoundsOxidizedpetrolatum (MNI3)-Viscous brownsubstance60mineral oils,organicsolventsSteel, cast iron,$\\mathrm{Cu}$ and alloys, AI
Oxidized ceresin(MNI-7)-Viscousyellow-brownsubstancemineral oils,organicsolvents.Steel, cast iron,Cu and alloys, AI
"} {"image_path": "images/8b5422cbdba57f5ceca044910af58392.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CC:CarrierMethodCC:CarrierRatioSampleCode
CC:PVPSolvent1:1FI
K-30Evaporation
CC:PVPMethod1:2F2
K-30
CC:PVP1:4F3
K-30
CC:PVP1:1F4
K-90
CC:PVP1:2F5
K-90
CC:PVP1:4F6
K-90
CC:PEGFusion1:1F7
4000Method
CC:PEG1:2F8
4000
CC:PEG1:4F9
4000
CC:PEG1:1F10
6000
CC:PEG1:2F11
6000
CC:PEG1:4F12
6000
CC:PEG1:1F13
8000
CC:PEG1:2F14
8000
CC:PEG1:4F15
8000
$\\mathrm{CC:\\beta-CD}$Coevaporation1:1M1C1
$\\mathrm{CC:HP\\ \\beta-}$Method1:1M1C2
CD
PVP K30Nanoprecipitation10%S1
PVP K90Method10%S2
"} {"image_path": "images/c8d65a3ef8cf20d4b101d69477fdd0e1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1980 年测定 1979 年生中华豆蟹1979 年测定 1978 年生中华豆蟹1978 年测定 1977 年生中华豆蟹
甲宽范围(mm)平均甲宽(mm)增长值(mm)甲宽范围(mm)平均甲宽(mm)增长值(mm)甲宽范围(mm)平均甲宽(mm)增长值(mm)
481.3- 7.23.7490.9- 8.23.1
4231.3- 7.04.04261.0- 7.33.1
5101.4- 7.83.6$+0.1$590.9- 7.82.9
5221.5- 6.53.6+2.15240.9- 7.02.8523-241.3- 7.53.4
682.4- 9.45.7681.0- 9.23.5+0.7681.7- 6.43.7+0.3
6232.5- 8.35.76231.3- 9.24.0+0.56232.4- 7.65.3+1.6
783.1- 9.56.3$+0.6$772.1-10.25.0+1.0783.0- 9.46.7+1.4
7243.5- 10.17.6+1.37243.0-10.66.5+1.57243.1- 10.27.7+1.0
872.4-10.07.6共增长4.1883.2-12.07.8+1.3883.1-11.18.7+1.0
8231.0-10.37.48223.1-12.08.6+0.88230.8-11.08.3共增长5.3
980.7-11.23.5970.6-12.46.9共增长5.8980.8-10.02.9
9220.7-10.82.09220.6-12.74.39230.7-11.12.0
1070.7-10.42.11070.8-12.76.61080.7-12.52.2
10220.9-10.33.310221.1-14.56.410230.8-12.33.2
1171.0-13.05.01140.7-10.22.2
1271.7-13.96.51290.9-10.02.4
12300.8-12.02.9
"} {"image_path": "images/be21ec9b1db500a305f836066107e332.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(0,0)
0.052740.031150.013990.004320.00000
0.052050.030880.014580.004860.00000
0.051870.030540.014630.004910.00000
0.051650.030380.014950.004930.00000
0.051650.030380.014950.004930.00000
0.055470.034650.019460.010670.00443
0.054890.034010.019020.010320.00460
0.054360.033790.018960.009550.00465
0.054150.033610.018760.009110.00483
0.054150.033610.018760.009110.00483
0.060990.041740.027740.018610.01467
0.060070.041320.027180.018090.01434
0.059820.040670.026890.017930.01380
0.059390.040350.026630.017760.01341
0.059390.040350.026630.017760.01341
(-0.4,-0.2)
"} {"image_path": "images/a32876c95aafa2f63dbd7a0bd25b1980.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$m_{1}$$m_{2}$$m_{3}$$w_{1}$$w_{2}$$m_{1}$$m_{2}$$w_{1}$$w_{2}$
$w_{2}$$w_{1}$$w_{1}$$m_{3}$$m_{2}$$w_{1}$$w_{1}$$w_{1}$$m_{2}$
$\\updownarrow$$w_{2}$$m_{3}$$m_{2}$$m_{1}$$w_{2}$$w_{2}$$m_{2}$$m_{1}$
$m_{1}$$m_{2}$$w_{2}$$\\updownarrow$$\\updownarrow$$\\updownarrow$$m_{2}$$\\updownarrow$$\\updownarrow$
$w_{1}$$w_{1}$$w_{2}$$m_{1}$$m_{1}$$w_{2}$
$m_{1}$$m_{3}$
$\\text{RRE}(w_1, >)(a)$$j = m_2, j' = m_3$$\\text{RRE}(w_1, >)(b)$$j = m_2$
"} {"image_path": "images/e7610af0f8f5f84af252b058686935be.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
[NaOH] (M)[3ABA] (M)$[CIO^-]~(M)$[CINa] (M)$k_{obs}~(s^{-1})$
0.0251.0$10^{-2}$1.0$10^{-3}$07.72 ± 0.70
0.0501.0$10^{-2}$1.0$10^{-3}$02.87 ± 0.30
0.0751.0$10^{-2}$1.0$10^{-3}$01.74 ± 0.10
0.101.0$10^{-2}$1.0$10^{-3}$01.34 ± 0.05
0.201.0$10^{-2}$1.0$10^{-3}$00.70 ± 0.07
0.301.0$10^{-2}$1.0$10^{-3}$00.55 ± 0.15
0.401.0$10^{-2}$1.0$10^{-3}$00.36 ± 0.08
0.501.0$10^{-2}$1.0$10^{-3}$00.27 ± 0.03
0.101.0$10^{-2}$1.0$10^{-3}$01.04 ± 0.01
0.101.5$10^{-2}$1.0$10^{-3}$02.29 ± 0.27
0.102.0$10^{-2}$1.0$10^{-3}$02.93 ± 0.20
0.102.5$10^{-2}$1.0$10^{-3}$03.64 ± 0.20
0.103.0$10^{-2}$1.0$10^{-3}$05.90 ± 0.15
0.103.5$10^{-2}$1.0$10^{-3}$06.48 ± 0.26
0.104.0$10^{-2}$1.0$10^{-3}$09.33 ± 0.40
0.105.0$10^{-2}$1.0$10^{-3}$014.8 ± 1.80
0.107.0$10^{-2}$1.0$10^{-3}$036.1 ± 2.20
0.111.0$10^{-2}$1.0$10^{-3}$01.51 ± 0.03
0.122.0$10^{-2}$1.0$10^{-3}$03.05 ± 0.06
0.133.0$10^{-2}$1.0$10^{-3}$04.64 ± 0.07
0.144.0$10^{-2}$1.0$10^{-3}$06.16 ± 0.57
0.102.0$10^{-2}$0.50$10^{-3}$03.44 ± 0.10
0.102.0$10^{-2}$0.71$10^{-3}$03.28 ± 0.04
0.102.0$10^{-2}$0.95$10^{-3}$03.43 ± 0.03
0.102.0$10^{-2}$1.26$10^{-3}$03.27 ± 0.08
0.102.0$10^{-2}$1.42$10^{-3}$03.13 ± 0.12
0.111.0$10^{-2}$1.0$10^{-3}$0.51.40 ± 0.07
0.111.0$10^{-2}$1.0$10^{-3}$1.01.59 ± 0.03
0.111.0$10^{-2}$1.0$10^{-3}$1.51.60 ± 0.02
0.111.0$10^{-2}$1.0$10^{-3}$2.01.53 ± 0.02
"} {"image_path": "images/287854175e903ed94c6d74cddefc0eb3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MethodSpecies$\\alpha^{cal}(nm)$$ D_{R}^{cal}\\left(\\mathrm{~ns}^{-1}\\right) $$D_{R}^{\\text {exp }}\\left(\\mathrm{ns}^{-1}\\right)$$D_T^{\\mathrm{cal}}\\ (\\mathrm{S.E.})\\ (\\mathrm{cm}^2/\\mathrm{s})^§$$D_T^{cal}\\ (\\mathrm{S.D.})^§\\ (\\mathrm{cm}^2/\\mathrm{s})^*$$D_{T}^{\\text {exp }}\\left(\\mathrm{cm}^{2} / \\mathrm{s}\\right)$
Immunoblot 


29 kDa2.20.017-$12.0\\times10^{-7}$-
75 kDa3.00.007-$8.1\\times10^{-7}$$ 3.3\\times 10^{-8} $-
TRA 


EGFP(PBS)--0.00930.00---
$H2L^dGFP_{in}$--32---
FCS 



EGFP(PBS)-----$ 5.6\\times 10^{-7} $
$H2L^dGFP_{in}$----- $1.8\\times 10^{-9}$
$H2L^dGFP_{out}$-----$ 1.7\\times 10^{-9} $
FRAP [28]:

ER 

ER + MCMV 




$H2L^dGFP_{in}$-----$ 2.0 \\times 10^{-9} $
$H2L^dGFP_{out}$-----$ 3.7\\times 10^{-9} $
$TAP_1GFP$----- -$1.2\\times 10^{-9} $
$H2L^dGFP_{in}$v-----$2.010^{-9}$
$H2L^dGFP_{out}$-----$4.7\\times 10^{-9} $
"} {"image_path": "images/359017e49142f99a00401df0fff7d3da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RUNGEKUITTA4THMOD21CPUTIME.1
RLINGEKUTTA4THMOD22CPUTIME.3
RLINGEKUTTA4THMOD23CPUTIME.6
RLINGEKLITTA4THMCD24CPUTIME1
RUNGEKUTTA4THMOD25CPUTIME1.7
RUNGEKUTTA4THMOID26CPUTIME3
RUINGEKUTTA4THMCD27CPUTIME5.2
RUNGEKUTTA4THMOD28CPUTIME9.8
RUNGEKUTTA4THMOD29CPUTIME18.9
RUNGEKUTTA4THMOD210CPUTIME36.8
RUNGEKUTTA4THMOD211CPUTIME72.5
RUNGEKUTTA4THMOD212CPUTIME143.7
"} {"image_path": "images/3c0e913e7a1334905e8840fae7dc813a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
透明度等级34透明度等级
朝向SSEENENHSSEENENH朝向
辐射照度上行——直接辐射
下行——散射辐射
上行——直接辐射
下行——散射辐射
辐射照度
时刻(地方太阳时)601213082907721092234221581618时刻(地方太阳时)
363030303042292929292942
702435114456916502084363805914117
606060606066646464646477
802745484353036602594843842732316
878787878781888888888892
9027847744545490252434300450015
10910810810810890114114114114114107
10120731917806871190292163063214
12012012012012087127127127127127109
1199511737077388810934071513
12812812812812888138138138138138115
1214700080413700074512
12912912912912986138138138138138110
13900007738000071511
12812812812812888138138138138138115
14100006871000063210
12012012012012087127127127127127109
1500004549000045009
10810810810810890114114114114114107
160000303660000273238
878787878781888888888892
170000691650000591417
606060606066646464646477
1800007721000058166
303030303042292929292942
朝向SSWWNWNHSSWWNWNH朝向
"} {"image_path": "images/5342c1fab28b6f038b9601a92fd95aa1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号标准名称标准号
理化检验方法标准
158食品安全国家标准婴幼儿食品和乳品中核苷酸的测定GB 5413.40 - 2016
159食品安全国家标准饮用天然矿泉水检验方法GB 8538 - 2016
160食品安全国家标准食品中放射性物质检验 总则GB 14883.1 - 2016
161食品安全国家标准食品中放射性物质氢 - 3 的测定GB 14883.2 - 2016
162食品安全国家标准食品中放射性物质锶 - 89 和锶 - 90 的测定 GB 14883.3 - 2016
163食品安全国家标准食品中放射性物质钜 - 147 的测定GB 14883.4 - 2016
164食品安全国家标准食品中放射性物质钋 - 210 的测定 GB 14883.5 - 2016
165食品安全国家标准食品中放射性物质镭 - 226 和镭 - 228 的测定GB 14883.6 - 2016
166食品安全国家标准食品中放射性物质天然钍和铀的测定GB 14883.7 - 2016
167食品安全国家标准食品中放射性物质钚 - 239、钚 - 240 的测定GB 14883.8 - 2016
168食品安全国家标准食品中放射性物质碘 - 131 的测定GB 14883.9 - 2016
169食品安全国家标准食品中放射性物质铯 - 137 的测定GB 14883. 10 - 2016
170食品安全国家标准含脂类辐照食品鉴定 2- 十二烷基环丁酮的气相色谱-质谱分析法GB 21926 - 2016
171食品安全国家标准干酪及加工干酪制品中添加的柠檬酸盐的测定GB 22031 - 2010
172食品安全国家标准食品中三氯蔗糖 (蔗糖素) 的测定 GB 22255 - 2014
173食品安全国家标准辐照食品鉴定 筛选法GB 23748 - 2016
174食品安全国家标准保健食品中 $\\alpha$ - 亚麻酸、二十碳五烯酸、二十二碳六烯酸的测定五烯酸和二十二碳GB 28404 - 2012
175食品安全国家标准婴幼儿食品和乳品中左旋肉碱的测定GB 29989 - 2013
176食品安全国家标准食品接触材料及制品 高锰酸钾消耗量的测定GB 31604.2 - 2016
177食品安全国家标准食品接触材料及制品 树脂干燥失重的测定GB 31604.3 - 2016
178食品安全国家标准食品接触材料及制品 树脂中挥发物的测定GB 31604.4 - 2016
179食品安全国家标准食品接触材料及制品 树脂中提取物的测定GB 31604.5 - 2016
180食品安全国家标准食品接触材料及制品 树脂中灼烧残渣的测定GB 31604.6 - 2016
181食品安全国家标准食品接触材料及制品 脱色试验GB 31604.7 - 2016
182食品安全国家标准食品接触材料及制品 总迁移量的测定GB 31604.8 - 2016
183食品安全国家标准食品接触材料及制品 食品模拟物中重金属的测定GB 31604.9 - 2016
"} {"image_path": "images/837714fb887dea2f7414bf032dd16e53.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
八年 七年 周公楚奔晉六年五年四年
立繻為君尋殺之公歸晉執公圍許
晉伐我敗我于麻隧
會諸侯伐秦敗狄于交剛晉厲公州蒲元年公疾立子州蒲公卒盟蒲執鄭伯伐鄭
伐莒入鄆
十三年十二年十一年十年如晉晉公 送葬九年
齊靈公環元年
"} {"image_path": "images/bad023f1ae65c2645286a943184b65da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\overline v$I$^a$TypeAssignment
=30501182w$\\rho\\left(\\mathrm{CH}_{3} \\mathrm{O}\\right), \\rho^{\\prime}\\left(\\mathrm{CH}_{3} \\mathrm{O}\\right)$
$_3$O),1062.5sh$v$(CO)
$_3$P)1043.5R
1037.5vsQA$v$(CO)
1031P
924.5R
2647918.5sQA$\\rho^{\\prime}\\left(\\mathrm{CH}_{3} \\mathrm{P}\\right)$
2911P
$=2226.7$896shQC$\\rho(\\mathrm{CH}_{3} \\mathrm{P})$
25887P(?)
75822.5R
= 2062.7816.5sQB $\\nu_{\\mathrm{a}}\\left(\\mathrm{PO}_{2}\\right)$
1968.5813.5Q
1878.5805.0P
794R
= 1854786.7mQA$\\nu_{\\mathrm{S}}\\left(\\mathrm{PO}_{2}\\right)$
1775.5779P
1750.5721R
$_3$O),713wQC$v$(PC)
706.5P
498 $\\delta$ (POC)
396$\\delta_{\\mathrm{a}}\\left(\\mathrm{CPO}_{3}\\right), \\delta_{\\mathrm{a}}^{\\prime}\\left(\\mathrm{CPO}_{3}\\right)$
"} {"image_path": "images/0d994880a05974be934d3fe4ee3955c6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机型冲程数气缸数及排列-缸径×行程(mm)排量(L)进气方式冷却方式燃烧室 标定功率[kW/(r/min)]最大扭矩〔N·m/〔r/min〕〕 燃 油消耗率[g/(kW·h)] 机 油消耗率〔g/(kW·h)〕外形尺寸(长×宽×高)(mm)净重(kg)主要用途生产厂
1h12h持续
275WA42H-75×800.707自然吸气水冷预燃室10.11/26009.19/26008.27/260037.1/2600≤287≤4.10630×480×500108通用型 杭州双鸟柴油机有限公司
275WAN42H-75$\\times 80$0.707自然吸气凝汽水冷预燃室10.11/26009.19/26008.27/260037.1/2600≤295.1≤4.10645×474×580114通用型
27542L-75$\\times 85$0.751自然吸气水冷涡流室(15min)12/300042.7/2000~2200≤278.8≤2.04473×494×600140农用车江西柴油机厂
280WN42H-80×800.804自然吸气凝汽水冷涡流室11.3/260010.3/26009.27/260041.6/2600≤288.3≤4.08670×474×580120通用型 杭州双鸟柴油机有限公司
S28042L-80$\\times$ 950.955自然吸气水冷涡流室11.76/240053.8/1800≤272≤3.4470×460×580135农用车 山东菏泽齐鲁动力机械有限公司
SN285Q42L-85×901.021自然吸气水冷涡流室14/260059.1/1820≤261.2≤1.40468×490×597145农用车 浙江四联实业股份有限公司柴油机厂
N285Q42L-85×951.078自然吸气水冷涡流室13.2/240060.5/1680≤277485×468×631155 农用车、拖拉机、工程机械 常柴股份有限公司
S28542L-85×951.078自然吸气水冷涡流室13.23/240016.5/1800≤272≤3.4470×460×580135农用车 山东菏泽齐鲁动力机械有限公司
N285QDI42L-85$\\times 95$1.078自然吸气水冷直喷式14.71/260062.2/1820≤256≤2.72485×468×631155农用车 四川新达集团达川柴油机厂
N285Q42L-85×951.078自然吸气水冷涡流室13.23/240058.8/1680≤272≤2.72485×468×631155农用车
N285TDI42L-85×951.078自然吸气水冷直喷式12.5/240057.2/1680≤254≤2.72485×468×631155农用车
"} {"image_path": "images/c63be8574f4e557d2ee3eb7f8a870fc3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dwell TimeLife asCrack Density
$N_{f}/6$$N_{f}/3$$2N_{f}/3$$N_{f}$
Creep Time,hrCrack LengthCreep Time,hrCrack LengthCreep Time,hrCrack LengthCreep Time,hrCrack Length
$N_{f}$$t_{f}$TotalSurfaceTotalSurfaceTotalSurfaceTotalSurface
0470.040.011041040.013093090.035164970.04717653
30 sec400.660.1247470.243283280.474403830.66533414
2 min372.450.4197970.793763761.617725602.45479362
10 min299.351.641561563.332152156.245232379.35456429
1 hr1835.05.96555511.7262053023.8770140135.01603712
10 hr6.3162.019.75404039.1313612673.417754162.01498423
CreepCreepCreepCreep
73165165136194163269444245447844208
"} {"image_path": "images/65712f321860489dba6b1cdd89edfbe5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dataset$S_{0}$ $K_{l}$ $K_{e}$Best gain (%)
KG error (%)Rate (bpfv)$S_{1}$$S_{2}$$S_{3}$$S_{1}$$S_{2}$$S_{3}$
Rate (bpfv)
Jump0.4960.5540.5370.5330.5350.5280.5210.5255.9
Jump0.2441.0951.0201.0111.0191.0121.0011.0088.6
Jump0.1002.3512.1732.1542.1792.1552.1342.1519.3
Dance0.4980.2920.2760.2700.2700.2730.2660.2679.0
Dance0.0081.2581.1601.1281.1301.1491.1181.11711.2
Dance0.0012.0141.9051.8631.8651.8981.8571.8587.8
Cow0.2422.1691.9651.9381.9521.9501.9121.92411.8
Cow0.0684.7604.3404.2784.3184.2614.2064.23511.7
Cow0.0129.1728.5408.4478.5158.3828.2968.3589.6
Chicken0.0551.4301.3341.3261.3331.3291.3191.3227.8
Chicken0.0172.0451.9221.9121.9191.9131.9001.9077.1
Chicken0.0062.8782.7312.7202.7272.7202.7032.7116.1
Humanoid0.2130.4530.3790.3680.3720.3740.3630.36619.8
Humanoid0.0260.9560.7800.7590.7680.7730.7510.76021.4
Humanoid0.0071.3741.1511.1251.1361.1401.1161.12518.7
Camel0.4300.7300.6690.6620.6700.6440.6340.64513.2
Camel0.0582.3161.9721.9511.9761.9421.9181.94917.2
Camel0.0085.1404.3974.3554.4074.3204.2804.33416.7
Elephant0.2790.7040.6960.6770.6780.6620.6430.6528.7
Elephant0.0292.3562.0812.0272.0462.0281.9801.99816.0
Elephant0.0054.4083.8993.8073.8373.7723.6883.73316.3
Horse0.3251.2751.1361.0891.0901.1181.0701.07616.1
Horse0.1382.1081.8411.7641.7681.8171.7371.74817.6
Horse0.0184.9724.3184.1504.1604.2334.0634.09018.3
Dolphin0.2890.3160.2480.2330.2340.2460.2300.23127.4
Dolphin0.0341.1350.8650.8160.8150.8600.8040.80529.1
Dolphin0.0063.1092.4442.3082.3102.3942.2072.21229.0
Mocap0.3660.2380.2110.2020.2020.2070.1980.19816.9
Mocap0.0290.8960.7890.7570.7580.7700.7410.74617.3
Mocap0.0032.5442.3332.2672.2702.2592.2072.21713.3
Walk0.3420.1540.1540.1500.1500.1480.1440.1456.2
Walk0.0120.8870.8130.7890.7890.7970.7770.78112.3
Walk0.0031.7281.5931.5531.5541.5581.5281.53411.6
Gain (%)10.412.612.211.914.213.6
"} {"image_path": "images/38859505b3e4625a8c6eea7c1850f4ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
性质接管机关拨交企业单位原资本额(元)附注
国省合营电力公司196750000
肥料公司49750000
制碱公司437944231
机械造船公司314098125
纸业公司736140015
糖业公司13298640025
水泥公司1037942946
小计42522265342
省营工矿股份有限公司121103774962
农林股份有限公司5695127617
家林处林务局山林管理所74123556
台湾省航业有限公司815000000
台湾省通运公司376428000
台湾银行337750000
台湾土地银行1
台湾工商银行13589850
彰化商业银行12840000
华南商业银行13750000
台湾省合作金库12600000
台湾人民储金互济股份5950000
有限公司
台湾信托有限公司12500000
台湾物产保险有限公司122500000
台湾人寿保险有限公司14
台湾医疗物品公司1810549152
台湾营建公司59027940
专卖局31
小计323299511077
"} {"image_path": "images/6f563ba691d87f69f5a94233636ff854.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\beta$(deg)454545909090135135135
$\\alpha$(deg)045900459004590
$\\omega$(mrad)101.10951.04640.99611.25731.06710.99831.10961.04640.9961
201.00180.95860.91511.08930.98500.91031.00180.95850.9151
$H_0(\\omega)~×~10^{-6}$300.90770.87730.84500.96330.89960.83810.90780.87730.8450
400.81690.79540.77230.85350.81220.76600.81690.79550.7723
500.71250.69920.68490.73330.71030.68150.71250.69920.6849
600.52650.53690.54360.47980.53160.55000.52670.53700.5436
1016.59116.55516.52416.66216.57516.49516.58916.55716.524
2034.05333.99733.94034.15734.03433.87134.04833.99933.940
3052.1552.08752.01252.30852.13251.89352.16252.08352.012
$\\Phi(\\omega)~×~10^3$$(rad)$4070.94770.85770.67271.14670.91670.56270.94270.85270.762
5090.60490.49390.35490.86190.55490.02590.61590.47890.354
60111.808111.559111.298112.252111.612110.698111.817111.562111.298
"} {"image_path": "images/c44be7c1912156f62e557fa9c00e3770.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
4/5155/8281559
上/13046/856
上/13118/1138$2829_4$ 徐
下/1383上/135500徐彦若
1513下/14187/1047
80侯令儀1548
5/743$2732_7$ 烏徐商
7/106820烏重胤4/460
3/2714/461
$2724_7$ 殷4/3625/700
24殷侑4/528上/1360
2/2524/530下/1387
3/2734/66123徐俊
3/27415147/1053
4/53122烏崇福1549
4/6367/111734徐浩
5/82715567/1021
上/133734烏漢真下/1453
15173/34450徐申
1554上/13427/1027
25殷仲卿86烏知義7/1051
3/3318/128168徐晦
上/1341下/13806/864
上/13451528
26殷儼$2733_6$ 魚
6/86817魚孟威$2835_1$ 鲜
下/14256/94810鮮于仲通(李叔明)
7/1086/962
$2725_7$ 伊下/14376/993
94伊慎下/14648/1273
8/1266下/1442
$2760_3$ 魯1559
$2731_2$ 鲍60魯炅
70鮑防2/241$2891_7$ 紇
4/4168/125210紇干#
"} {"image_path": "images/3a8382f76435f50b62bbf5423637c3c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n
型 号四个角钢截面面 积$\\left(\\mathrm{cm}^{2}\\right)$四个角钢每米重 量$(\\mathrm{kg} / \\mathrm{m})$$r_1$$r_2$特性名称截 面
当 两 角 钢 背
(cm)40050060070080010001
$4 100 \\times 63 \\times 8$50.3439.511.771.37$I_x$
$W_x$
$ r_x$
17377
869
18.6
27945
1118
23.6
41030
1368
28.6
56632
1618
33.5
74751
1869
38.5
118539
2371
48.5
17
2
5
1061.8748.571.751.35$I_x$
$W_x$
$ r_x$
21180
1059
18.5
34123
1365
23.5
50159
1672
28.5
69288
1980
33.5
91511
2288
38.5
145237
2905
48.5
21
3
5
$4\\mathrm{L}100\\times80\\times6$42.5533.402.401.73$I_x$
$W_x$
$ r_x$
14071
704
18.2
22805
912
23.2
33667
1122
28.1
46655
1333
33.1
61772
1544
38.1
98387
1968
48.1
14
2
5
749.2038.632.391.71$I_x$
$W_x$
$ r_x$
16198
810
18.1
26278
1051
23.1
38818
1294
28.1
53819
1538
33.1
71279
1782
38.1
113582
2272
48.0
16
2
5
88 55.7843.782.371.71$I_x$
$W_x$
$ r_x$
18279
914
18.1
29683
1187
23.1
43877
1463
28.0
60859
1739
33.0
80630
2016
38.0
128538
2571
48.0
18
3
5
1068.6753.902.351.69$I_x$
$W_x$
$ r_x$
22309
1115
18.0
36297
1452
23.0
53718
1791
28.0
74573
2131
33.0
98862
2472
37.9
157733
3155
47.9
23
3
5
$4\\mathrm{L}110 \\times 70 \\times 6$42.5533.402.011.54$I_x$
$W_x$
$ r_x$
14627
731
18.5
23533
941
23.5
34567
1152
28.5
47728
1364
33.5
63017
1575
38.5
99977
2000
48.5
14
2
5
749.2038.632.001.53$I_x$
$W_x$
$ r_x$
16840
842
18.5
27120
1085
23.5
39860
1329
28.5
55060
1573
33.5
72721
1818
38.4
115423
2308
48.4
16
2
5
"} {"image_path": "images/755bfb9e63c42b38b2444bd56cfeb2ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Monozygotic twins
Twin numberSexAge(yr)HSA* (μM)n†Ka‡ (10⁴ M⁻¹)Twin numberSex
613M178602.81.09601M
6148602.90.98602
633F187531.96.27635F
6347302.14.66636
647F178302.03.11643M
6488002.02.91644
649F258162.41.16645F
6507762.51.22646
663M187851.86.51651F
6647801.85.81652
674F267922.14.29657M
6757792.05.25658
676M246362.34.91678M
6777571.75.31679
680M198331.73.38686M
6817212.02.67687
692M187212.15.18688F
6937302.05.86689
698M188042.51.20702M
6998672.61.15703
706F
707
710M
711
Mean ± SD782 ± 572.2 ± 0.43.64 ± 1.99
"} {"image_path": "images/046bc7d2450b43dd901c8d94d21dbabc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(Nago etal. 2010)(Zeba et al.2014;Becquey & Martin-Prevel2010)VBS FoodCalculation System(Becqueyet al. 2009)System for Research(Luke etal. 2011)
EASTERN AFRICAEthiopiaKenyaTanzaniaUgandaZambiaZimbab weMozambi que
Nutritional tools used in Dietary Data AnalysisUSDA Database(Alemayehu et al.2011)ESHA Food ProcessorWorldFood Dietary Assessment System(Gewa et al. 2008;Walton et al. 2012)NutriSurvey Program(Jordan et al.2013)ESHA FoodUSDA database,NutriSurvey Program(Mupere et al.2012;Nutrition Data System fo rResearch software(Koethe et al.USDA Database;ESHA Food Processor®(MerchaNutriSurvey Program(Korkalo et al.2014)FCT for Africa and
"} {"image_path": "images/130a536820683080a25ea6720348645f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ProteinECSourceM(kDa)Subunits$Cost^{a}$Disulfide contentCofactors%$\\alpha -helix$$\\%$$\\beta$-strandPDB(X-ray)pIChargeladders?
insulinbovine5.72$337.301APH5.3yes
protein Grecombinant6.11$$##025.042.81PGA4.8N/D
ubiquitinhuman, bovine8.61$$015.830.31TBE6.56yes
cytochrome Cequine heart11.61$0heme40.001WEJ10.0yes
ribonuclease A3.1.27.5bovine pancreas13.61$$417.731.41XPS9.8yes
$\\alpha$-lactalbuminbovine milk14.11$4$\\mathrm{Ca}^{\\mathrm{II}}, \\mathrm{Zn}^{\\mathrm{II}}$30.88.11F6S4.8yes
lysozyme3.2.1.17egg white14.21$430.26.2193L10.9yes
calmodulinbovine brain16.61$$#0$Ca^{II}$50.02.71CM44.0yes
myoglobinequine heart16.91$0heme73.801WLA6.8yes
HIV protease3.4.23.16HIV21.42$$##04.046.41A30N/D
trypsin3.4.21.4porcine pancreas23.41$67.130.01AVWN/D
triosephosphateisomerase5.3.1.1yeast26.61$$#0NAD38.016.11YPIN/D
isomerase
carbonic anhydrase4.2.1.1bovine29.31$0$Zn^{II}$7.625.71G6V5.9yes
carbonic anhydrase4.2.1.1human29.31$$#0$Zn^{II}$9.227.41A427.6yes
peroxidase1.11.1.7horseradish33.71$$4heme44.71.91ATJ7.2yes
superoxide1.15.1.1human32.52$$##2$\\mathrm{Zn}^{\\mathrm{II}}, \\mathrm{Cu}^{\\mathrm{II}}$1HL55.0yes
dismutase
albuminhuman serum66.41$1768.701AO65.67N/D
alcohol1.1.1.1equine liver79.52$0$Zn^{II}$23.922.11HLD6.8N/D
dehydrogenase
alkaline3.1.3.1bacteria94.02$$4$Zn^{II}$28.317.71ALK6.0no
phosphatase
IgGmouse1454$$#174.244.71IGTN/D
catalase1.11.1.6bovine2304$$0heme, NADP28.014.44BLCN/D
$\\beta$-galactosidase3.2.1.23bacteria4654$$010.535.31HN15.0no
"} {"image_path": "images/5d960c04226117f8b699d7764f4dc761.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
输 入输 出
条件选择码条 件 信 号条件码÷商置OP
$△N_{0}△N_{1}△ N_{2}△N_{3}$$\\bar{D}_{16} D_{11} D_{10}$${A}_{9} \\mathrm{~S}_{3} \\bar{A}_{0}$$(\\bar{x})_{16}(\\bar{y})_{16}(\\bar{y})_{15}$$P_FS_FAC_F$ $C_{15} C_{16} Z$ ${N_{4} N_{3} N_{2} N_{1} N_{0}}$
*0 0 0 0******* * *******0 0 0 0 000
地址计算0 0 0 1**1**** * ** * ****0 0 0 0 101
0 0 0 1*1***** * ** * ** * *0 0 0 1 001
0 0 1 0***1*** * ** * ** * *0 0 0 0 100
$\\begin{array}{c}\\leftarrow\\\\\\rightarrow\\end{array}$0 0 1 1****1** * *******0 0 0 0 100
↑↓士0 1 1 0******* 1 *******0 0 1 1 100
0 1 0 01**************0 0 1 1 100
0 1 0 1******1 * ** * ****0 0 1 1 100
=<≥1 1 0 0**** * ** * ******10 0 1 1 100
0 1 1 1* * ** * ** * 1* * ****00 0 1 1 100
1 1 0 1* * ** * ** * 1* * ****0 0 0 0 100
×1 0 0 0******* * ****1**0 0 0 1 000
1 0 0 ******1* * *******0 0 0 0 100
÷1 0 1** * ** * ** * *1*1***0 0 0 0 100
1 0 1 ** * ** * ** * *0*0***0 0 0 0 100
1 0 1 0* * ** * ** * *****1*0 0 0 1 000
***** * ***** * *11** * 10 0 0 0 010
*********** * *00****0 0 0 0 010
"} {"image_path": "images/1c8d8167c61a89a49fc8a849fa311c2b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n
$\\text{R}_{\\text{OCHA}},~\\text{F}_{\\text{RED}}~\\text{L}_{\\text{IRA}}$60$\\text{R}_{\\text{ODRIGUEZ}},~\\text{T}_{\\text{RINIDAD}}\\text{ M}_{\\text{ADRID}}$72
$\\text{R}_{\\text{ODRIGUEZ}},~\\text{S}_{\\text{HIRLEY}}$ F61
Rios, Rito LOPEZ61
$\\text{R}_{\\text{ANDEL}},~\\text{F}_{\\text{RED}}$ A61
$\\text{R}_{\\text{AY}},~\\text{J}_{\\text{ACK}}$61
$\\text{R}_{\\text{HODES}},~\\text{E}_{\\text{ARL}}$61
$\\text{R}_{\\text{OBERTSON}},~\\text{S}_{\\text{YDEY}}$ L.62
$\\text{R}_{\\text{OCHA}},~\\text{F}_{\\text{RED}}$63
$\\text{R}_{\\text{Symondo}},~\\text{D}_{\\text{AVID}}$63
$\\text{R}_{\\text{OSE}},~\\text{O}_{\\text{SCAR}}~\\text{ T}_{\\text{HURMAN}}$63
$\\text{R}_{\\text{EYMUNDO}},~\\text{D}_{\\text{AVID}}$65
RAMOS, Jose A65
RAMERIZ, eONO65
RIOROAN, JESSIE COLE65
$\\text{R}_{\\text{OMERO}},~\\text{S}_{\\text{ANTOS}}~\\text{ R}_{\\text{OCHA}}$65
RUE, Bich d, H il d66
ROBINSON, hucille66
$\\text{R}_{\\text{AMOZ}},~\\text{S}_{\\text{ebastion}}~\\text{ M}_{\\text{ArtinEz}}$66
REUICRA, MA RO G66
ROSIES JOE BERNAL67
RuIZ, JuLiO A67
RAMIREZ, ROBERTO A67
RANGEL, PEDER67R
RAMSEY, DONALD W67S
RAMSEY, eLEO JR68T
RAMIREZ, ALEX68U
RICHARDS, ARfhue70V
$\\text{Roch}_{\\text{A}},$ Adolpho , B71W
$\\text{R}_{\\text{OZO}},~\\text{J}_{\\text{OE}}$71X
ROCHA, $\\text{F}_{\\text{RED}},~\\text{h}_{\\text{IRA}}$71Y
Z
"} {"image_path": "images/bd934b45b56852cce0780fec6a9b0e3e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别 项目
名称
一般规模($m_2$/处) 服务规模(万人) 设置规定 设置 级别 设置要求及服务内容
建筑 面积 用地 面积区级片住区级居区级
6班16002000 0.45~0.7 按每班30生设置.用地面积10 /生, 建筑面积8 /生.小区级应设9班以上幼儿园,居住人口不足时允许设6班或与相邻地块合设幼儿园.幼儿园应独立用地,保证每班不少于60的室外游戏场地,包括设置大型活动器械,▲戏水池,沙坑以及10米长直跑道.幼儿园宜有集中绿化用地面积,并禁止种植有毒,带刺的植物.幼儿园建筑层数不应超过3层,其日照间距系数按照相关规定执行.
9班22002430 0.7~0.9
12 班29003240 0.9~1.1
15 班36004050 1.1~1.35
幼儿园18 班43004800 1.35~1.6
医疗卫生设施 200床 12000~18000 23400~26000 5~10 按千人1~2床位控制医院规模。
用地面积110~130 /床,建筑面积 60~70/床。
区域统筹安排,应独立用地,设置于交通方便地段,宜面临两条城市道路,并远离高压线路及其设施、少年儿童活动密集场所。
综合医院床300~600 19200~37200 35100~67800 10~20
卫生200020005宜独立用地
"} {"image_path": "images/50a4572ca2645540ba019e2d0112719b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Times of minimum
J.D.$\\sigma$EO-Cn
2400000+
33396.40530-.001612Lavrov
33931.3793319-.001353Lavrov
33984.2070350.5-.000149Lavrov
33984.2092350.5+.002175Lavrov
34608.9018723-.0004Hall and Hardie
34646.6373745.5+.0019Hall and Hardie
34650.8271748-.0009Hall and Hardie
34651.669748.5+.003Hall and Hardie
34657.535752-.001Hall and Hardie
34666.7573757.5-.0025Hall and Hardie
35464.18891233-.000428Lavrov
36517.36661861+.000249Lavrov
36518.20381861.5-.0011112Lavrov
36518.20791861.5+.003048Lavrov
38293.34602920+.001023Lavrov
39056.3983375+.003Pohl and Kizilirmak
39059.75273377+.0033Hall and Hardie
39725.5302±.00063774-.001526This paper
39725.5298±.00043774-.001923This paper
39730.5650±.00093777+.002213This paper
39730.564±.0013777+.00111This paper
39783.390±.0013808.5+.00016This paper
40483.5505±.00014226-.000437This paper
40494.4529±.00064232.5+.001369This paper
40505.3521±.00034239-.000267This paper
40847.46704443-.0002Pohl and Kizilirmak
"} {"image_path": "images/3bb63a3f9104e4da1145bc9063d97523.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科目摘要金額
領入數支出數餘額
各省保安部隊經費元月份20,000,000.00 157,033,366.0042,966,634.00
二月份296,000,000.00205,543,120.5690,546,879.44
三月份296,000,000.00209,147,425.8086,852,574.20
四月份296,877,202.00188,821,776.00108,055,426.00
五月份296,877,202.00 257,804,821.0039,072,381.00
六月份296,877,200.00240,742,936.0056,134,264.00
七月份296,877,200.00248,517,738.0048,359,462.00
八月份416,892,573.00357,980,826.0058,911,747.00
九月份411,851,924.00378,564,356.0033,287,568.00
合計2,808,253,301.002,244,066,365.36564,186,935.64
"} {"image_path": "images/579a1ef23948550e3b5fee25a98e563e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 别“幻影” 2000CJAS 39“阵风”EF2000F-22
研制国家法国瑞典法国欧洲多国合作美国
首飞时间198219881991(C型原型机)19941990(YF-22)
现 状服役即将服役在研在研在研
第三代第三代三代半三代半第四代
布局特点无尾三角翼近耦鸭式近耦鸭式近耦鸭式正常,隐身
操纵系统电传、随控布局电传,随控布局电传,随控布局电传,随控布局电传,随控布局
机长(m)14.3614.1015.3014.5018.92
冀展(m)9.138.0010.9010.5013.56
机翼面积($m^3$)41.0025.1046.7050.0078.00
空重(kg)7 5005 0809 0609 750
最大起飞重量(kg)17 00021 50021 00027 216
最大 M 数>2.22.02.02.02.5
最大过载(g)99999
空战作战半径(km)7001 8532 177
起飞滑跑距离(m)460400500610
着陆滑跑距离(m)914
动力装置单台最大推力(kN)1× M53-P295.11× F404J802× M88-3872× EJ20090 2×F119-PW-100155
空 战器 武2× “德发”55430mm 机炮、每门备弹125 发2× 超 530+2× “玛特拉”5501× “毛瑟” 27mm 机炮AIM-9、“天空闪光”等空对空导弹1× “盖特” M791B30mm 机炮8× “米卡” 空对空导弹(红外或主动导引)1× “毛瑟” 27mm 机炮4× AIM-120.另外可带AIM-9、ASRAAM、“阿斯派德”等空对空导弹1× M61A1 20mm机炮,装先进炮弹4× AIM-9+4× AIM-120将来可带 AAAM(AIM-54C 的 后 继型)
探测与火控系统雷 达 RDM(或 RDI)PD 体制,全高度搜索,多功能,边扫边跟探测距离 100km PS-05 / APD体制、多功能、边扫边跟 RBE-2无源相控阵.全高度搜索,同时多功能,多目标跟踪(8个),自动威胁判断及排序 ECR90PD 体制 AESA有源相控阵,全高度搜索.同时多功能
IRST(红外搜索及跟踪装置)××
IFF(敌我识别)NR-AI-11 询问机NR-AI-7A 应答机SC25MKXII 敌 我 识别系统
电子战系统雷达告警SERVAL 雷达告警接收机AR-830雷达告警接收机 雷达告警激光告警
导弹逼近告警
有源电子干扰 Erijammer-39 电 子战系统
无源电子干扰SPIRALE 箔条 / 曳光弹投放器吊轮
隐身能力××××
超音速巡航能力××××
非常规机动××××
"} {"image_path": "images/d73b64302797ee6a102d183487ed824a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Engineering geology unitsStratygraphyLithology
1Organic soilspeat, ooze
2Non-cohesive, river and glacial depositssilty sand, fine sand, middle sand, coarse sand, mixtures sand + gravel, gravel,boulders
3Near surface loamsQuaternary Periodcoarse sand, loam, sandy loam, silty loam, stiff loam, stiff sandy loam
4Glacial loamsloamy sand, loam, sandy loam, silty loam
5Mud and silt depositssilt, sandy silt
6Claysclay, sandy clay, silty clay
7Boulder clayclay with boulders
8Organic soilsgyttja, lignite, ksylite
9Sands, Gravels, its mixturessilty sand, fine sand, middle sand, coarse sand, sand + gravel, gravel, boulders
10Silts over ligniteloamy sand, silt
11Silts with organic materialloamy sand, silt
12Silts below the ligniteloamy sand, silt
13Clays above the ligniteNeogene Periodclay, sandy clay, silty clay
14Clays with organic materialclay, sandy clay, silty clay
15Clays between lignite depositclay, sandy clay, silty clay
16Clays below lignite depositsclay, sandy clay, silty clay
17Lignitelignite
18Clayey-loamy detritusclayey detritus
19Rocks detrituslimestone and marl rocks detritus
20Neogene rockssandstone, mudstone, lake marl
21Jurassic Soils and RocksJurassic Periodlimestone, marls, clay, silty clay, limestone, rock detritus
"} {"image_path": "images/adb5288407d427058c46ff93445bbfc9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Environmental FactorsBaseline valueRange tested
ClimateAnnual mean temperature (°C)2.40.4-4.4
Total annual precipitation (mm)560448-672
Clay fraction (%)0.410.1-0.6
Field capacity (%)0.57Not varied
Wilting point (%)0.27Not varied
Soil PropertyPorosity (%)0.59Not varied
Initial soil C fraction ($\\mathrm{kg} \\ \\mathrm{C} \\ \\mathrm{kg}^{-1} \\ \\mathrm{soil}$)0.02770.01-0.07
Bulk density ($g\\ \\mathrm{cm}^{-3}$)0.980.8-1.6
Soil pH5.615.0-9.0
Depth of continuous flooding water (cm)10Not varied

Management Practices
Drained days (d)02-12
Fraction of rice residue left in field (%)200-100
N-Fertilizer application ($\\mathrm{kg\\ N\\ ha}^{-1}$)6060.0-150.0
"} {"image_path": "images/9ce57ee0238d0baf916c8a11018ec9b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
物 质污 染 源地 点标 准注 释
市 或 县
氮 氧 化 物 >1775MMBTU/小时加 利 福 尼 亚
氯 氧 化 物75 年 12 月 31日 以 前六 个 县225 ppm150,161
氯 氧 化 物75 年 12 月 31日 以 后六 个 县125 ppm158,161
氯 氧 化 物 >2150MMBTU/小时加 利 福 尼 亚
氨 氧 化 物 75 年 12 月 31日 以 前奥 林 奇 县225 ppm158
氯 氧 化 物75 年 12 月 31日 以 后奥 林 奇 县125 ppm158
氯 氧 化 物> 600M 磅 蒸气/小 时
氮 氧 化 物正 交 点 火得 克 萨 斯特 殊 地 区0.7 磅/MMBTU129
氮 氧 化 物垂 直 点 火得 克 萨 斯特 殊 地 区0.5 磅/MMBTU129
氮 氧 化 物切 线 点 火得 克 萨 斯特 殊 地 区0.25 磅/MMBTU129
氯 氧 化 物最 初 的 10M英 尺$^3$ 煤 气加 利 福 尼 亚圣 路 易 斯 奥比 斯 波 县1000 ppm158
氨 氧 化 物附 加 的 煤 气加 利 福 尼 亚圣 路 易 斯 奥比 斯 波 县250 ppm158
氮 氧 化 物75年1月1日以前加 利 福 尼 亚文 图 拉 县250 ppm158
氨 氧 化 物75年1月1日以后加 利 福 尼 亚文 图 拉 县125 ppm158
氮 氧 化 物燃 气 轮 机康 涅 狄 格0.9 磅/MMBTU
氮 氧 化 物燃 气 轮 机佛 蒙 特0.3 磅/MMBTU
氮 氧 化 物液 体 燃 料七 个 州0.3 磅/MMBTU124
氯 氧 化 物液 体 燃 料伊 利 诺 斯特 殊 地 区 0.3 磅/MMBTU127
氯 氧 化 物 > 100MMBTU/小时三 个 州0.3 磅/MMBTU125
氮 氧 化 物 > 250MMBTU/小时六 个 州0.3 磅/MMBTU126
氯 氧 化 物 > 250MMBTU/小时特 拉 华纽 卡 斯 尔 县 0.3 磅/MMBTU
氮 氧 化 物 > 250MMBTU/小时宾 夕 法 尼 亚费 城0.3 磅/MMBTU
氮 氧 化 物 > 250MMBTU/小时南 达 科 他227 ppm130
氮 氧 化 物新 建 源伊 利 诺 斯0.3 磅/MMBTU
氯 氧 化 物新 建 源怀 俄 明0.3 磅/MMBTU
氮 氧 化 物 > 250MMBTU/小时所 有 州0.3 磅/MMBTU165
氮 氧 化 物现 有 源怀 俄 明0.46 磅/MMBTU
氮 氧 化 物 > 250MMBTU/小时堪 萨 斯堪 萨 斯 城0.3 磅/MMBTU
"} {"image_path": "images/b4bfc054a42726ce25747c0a75448b82.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
































































公由
司鐵













附土
近織













外由
或上
發海
售來
附者
近亦
各有
處自



























#






















"} {"image_path": "images/b78dbbbc4bb1f16cbfb61d4f649b9077.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaterialElastic mo-dulus E, MPaPoisson'sratio μ Density $ρ·~10^{3}$ ,$\\mathrm{kg/cm}^{3}$ Thermal con-ductivity λ,kcal/deg·m·hAllowable stress σ,MPa
Supporting layers
Fiberglass20 0000,31,71300
Duralumin70 0000,32,8190120
Steel200 0000,37,850200
Filler
I100,10,180,0451,0
II1000,10,50,101,0
III10000,10,50,101,0
"} {"image_path": "images/f44e7218fb35d52396d6c4d9055d8992.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
墓 号地 点墓 型方向墓底长宽深随 葬 物备 注
65韶湘M 77红崙上长形土坑竖穴315°$ 308\\times 145-50 $ #$ _7$、壶$_2$(Ⅰ)西汉晚期
65韶湘M 78红崙上方形土坑竖穴135°$378 \\times 204-118$铜镜(Ⅰ)、铜刀、#$_8$ 、鼎(Ⅰ)、 熏炉(?) 、 壶$_2$(Ⅰ) 、 方壶$_2$( Ⅵ )、锭$_3$、锺$_2$、石壁、石砚。西汉晚期
65韶湘M 79红崙上方形土坑竖穴66°$244 \\times 144-130$鼎(Ⅰ),盒、壶( Ⅱ )。西汉早期
65韶湘M 80红崙上方形上坑竖穴250°$270 \\times 206-150$鼎$_4$( Ⅱ )、盒 $ _4 $、壶 $ _4$( Ⅱ )、熏炉(Ⅰ)、半两钱 $ _{2~1}$(Ⅰ)、漆器残痕迹。西汉早期
65韶湘M 81红崙上方形土坑竖穴250°$266 \\times 140-140$鼎$ _{2}$( Ⅱ )、盒$_2$、壶$_2$( Ⅱ )。西汉早期
65韶湘M 82红崙上方形土坑竖穴66°$278 \\times 150-140$鼎$_{2}$( Ⅱ ) 、盒 ${ }_{2}$ 、壶 ${ }_{2}$( Ⅰ ) 、铜镜残片( Ⅳ )、勺 。西汉早期
65韶湘M 83红崙上方形土坑竖穴144°$284 \\times 190-179$鼎$_2$ (Ⅰ)、盒$_2$、壶$_2$ (Ⅰ)。西汉早期
65韶湘M 84红崙上方形土坑竖穴 ?$280 \\times 180-320$鼎$_4$(Ⅰ)、盒$_4$、壶$_4$(Ⅱ)、残漆羽觴。西汉早期
65韶湘M 85红崙上方形土坑竖穴 ?$480 \\times 300-200$鼎$_9$(Ⅰ)、 盒$_{2~2}$ 、 壶$_{1~6}$( Ⅳ ) 、#、盘$_{1~2}$ 、铜镜( Ⅳ)。西汉早期
65韶湘M 86红崙上方形土坑竖穴 72°$254 \\times 184-170 $鼎$_4$(Ⅰ)、盒$_4$ 、壶$_4$(Ⅱ)、铜带勾、玉印、玉璧。西汉早期
65韶湘M 87红崙上 带 墓 道方形土坑竖穴147°$466 \\times 326-80 $尊${ }_{2}(\\mathrm{\\ I\\ })$ 、#刀、石壁、石砚、缸、鼎${ }_{2}$( ? )、方壶 ${ }_{2}(\\mathrm{}VI)$ 、#$_6$、鐎壶$_2$、灶( II )、锺、五铢钱( II )阶梯式墓道。西汉晚期
65韶湘M 88红崙上 帶 墓 道方形土坑竖穴138°$450 \\times 280-130$壶$_4$( ? )、方壶$_4$( VI )、鼎(?) 、#、尊$_2$( II )、铜剑首、五铢铜钱${ }_{58}(II)$ 、铜弩机,铁刀、石壁、铜盆碎片。斜坡式墓道,距底54厘米。西汉晚期
65韶湘M 89红崙上 带 墓 道方形上坑竖穴135°$ 400 \\times 190-110 $#$_{8}$、熏炉( II )、五铢铜钱$_{2}(I)$、五铢铜钱$_{7~1}(II)$,铁鐎壶、石壁。 斜坡式墓道,距底40厘米。西汉晚期
65韶湘M 90红崙上 带 墓 道方形土坑竖穴166°$ 426\\times 220-110 $鼎$_2$( I )、壶( V)、#$_{1~0}$、灶( I ) 、桶、灯、盆、五铢铜钱$_{1~0}$( II )、銅镜( II )、石壁、甑、器盖碎片。斜坡式墓道,距底26厘米,坡度45°。西汉晚期
"} {"image_path": "images/b8e1d91cf301557e9a730569a208e8fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GEEMallowsSchweppe
Estimate(s.e.)ZEstimate(s.e.)ZEstimate(s.e.)Z
INTERCEPT-3.04(0.96)-3.17 -3.34(1.03)-3.23 -3.93(1.21)-3.25
FEMALE-0.75(0.60)-1.25-0.73(0.62)-1.17-1.34(0.75)-1.79
AGE (10 years)-0.67(0.56)-1.21-0.57(0.57)-1.00 -1.49(0.70)-2.13
DAYACC0.39(0.09)4.200.40(0.10)4.050.56(0.12)4.60
SEVERE0.81(0.36)2.260.80(0.36)2.220.72(0.37)1.91
TOILET0.11(0.10)1.090.15(0.09)1.640.36(0.13)2.82
"} {"image_path": "images/9d0c5ccfab471ebc64d2d1a45cc37377.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StateBC Year State ofincorporationState oflocationNumber (percentage) of firms incorporated in:
Number offirmsNumber offirmsState of locationDelawareOther states
Delaware19885,5873935 (89.7%)4(10.3%)
California5291,711489(28.6%)1,034(60.4%)188(11.0%)
New York19855151,129366(32.4%)673(59.6%)90 (8.0%)
Nevada19913029755(56.7%)28(28.9%)14(14.4%)
Florida290584240(41.1%)261(44.7%)83(14.2 %)
Minnesota1987287342243(71.1 %)88(25.7 %)11(3.2%)
Massachusetts1989280527236(44.8 %)253(48.0%)38(7.2 %)
Colorado266363160 (44.1%)147 (40.5%)56(15.4%)
Pennsylvania1989264428219(51.2%)169(39.5%)40(9.3 \\%)
Texas263951240(25.2%)555(58.4%)156(16.4%)
New Jersey1986255585194(33.2%)305 (52.1%)86(14.7%)
Ohio1990224375198(52.8%)151(40.3%)26(6.9%)
Maryland198919720082(41.0%)103(51.5%)15(7.5%)
Georgia1988142277123(44.4%)121(43.7%)33(11.9 %)
Virginia1988137243106(43.6%)103(42.4%)34(14.0%)
Michigan1989120209109(52.2%)81(38.8%)19(9.1%)
Indiana198611914497(67.4%)41(28.5%)6(4.2 \\%)
Utah1119760(61.9%)29(29.9%)8(8.2%)
Washington198710214987(58.4%)44(29.5%)18(12.1%)
Wisconsin19879412486(69.4%)34(27.4%)4(3.2%)
North Carolina9217385(49.1%)66 (38.2%)22(12.7%)
Missouri19868016960(35.5%)92(54.4%)17(10.1%)
Oregon698961(68.5%)15(16.9%)13(14.6%)
Tennessee19886713459(44.0%)54(40.3%)21(15.7%)
Oklahoma19915812145(37.2%)58(47.9%)18(14.9%)
Illinois19895744447(10.6%)353(79.5%)44(9.9%)
Connecticut19895630748(15.6%)209(68.1%)50(16.3%)
Arizona19873915235(23.0%)76(50.0%)41(27.0%)
Iowa386731(46.3 %)27(40.3%)9(13.4%)
Louisiana356730(44.8%)30(44.8%)7(10.4%)
South Carolina1988357734(44.2%)37(48.1%) 6(7.8 \\%)
Kansas1989347026(37.1%)33(47.1 %)11(15.7%)
Kentucky1987296728(41.8%)31(46.3%)8(11.9%)
Rhode Island1990183714(37.8%)18(48.6%)5(13.5%)
Wyoming198918137(53.8%)1(7.7%)5(38.5%)
Mississippi164715(31.9%) 21(44.7%)11(23.4%)
New Mexico15269(34.6%)10(38.5%)7(26.9%)
Maine198813145(35.7%)8(57.1%)1(7.1%)
New Hampshire134711(23.4%)28(59.6%)8(17.0%)
Hawaii12208(40.0%)9(45.0%)3(15.0%)
Alabama10679(13.4%)54(80.6%)4(6.0%)
District of Columbia10304(13.3%)22(73.3%)4(13.3%)
Idaho198810162(12.5%)11(68.8%)3(18.8%)
Arkansas9359(25.7%)20(57.1%)6(17.1%)
Nebraska19889298(27.6%)18(62.1%)3(10.3%)
West Virginia8197(36.8\\%) 9(47.4%)3(15.8%)
Montana7137(53.8%) 4(30.8%)2(15.4%)
Vermont7166(37.5 %)9(56.3%)1(6.3%)
Alaska664(66.7%)2(33.3%)0(0.0%)
South Dakota1990410 4(40.0%)5(50.0%)1(10.0%)
North Dakota241(25.0%)2(50.0 %)1(25.0%)
Total10,96010,9604,144(37.8%)5,552(50.7%)1,264(11.5%)
"} {"image_path": "images/518ff00076799762bd45a50b82568f40.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Installed electrical performance(kW)Management (OR/CV)Substrate ratio of fresh weight(MF:PF)Specification and proportion (fresh weight) of substrates (%)
AnimalmanuresGrasssilageClover-grasssilageWhole crop silage(rye)Maizesilage
75OR80:20801010-
20:8020402515-
CV80:2080---20
20:802020--60
250OR80:20801010--
20:8020402515-
CV80:2080---20
20:802020--60
500OR50:50503020--
20:8020402515-
CV50:5050---50
20:802020--60
"} {"image_path": "images/8c0c912f9b68584d33d3374f2a1638a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
甲方
甲方代理人联系电话
乙方
法定代表人联系电话
家装工程地址
开工日期竣工日期
保修期限自 年 月 日到 年 月 日
"} {"image_path": "images/88be1e8dde2c7e1de637747291a4539f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号用电设备组名称设备数量设备容量/kW系数$K_c$$\\cos\\phi$$\\text{tg}\\phi$设备容量
工作备用安装工作$P_{30}/\\mathrm{kW}$$Q_{30}/\\mathrm{kW}$$S_{30}/\\mathrm{kW}$
小动力及照明15.000.800.800.7512.009.00
厌氧池
小动力及照明15.000.800.800.7512.009.00
氧化沟
双速转刷336.001.000.850.62336.00208.32
小动力及照明10.000.800.800.758.006.00
沉淀池
小动力及照明10.000.800.800.758.006.00
消毒接触池
小动力及照明60.001.000.850.6260.0037.20
污泥泵房
小动力及照明60.000.800.800.7548.0036.00
贮泥池
小动力及照明10.000.800.800.758.006.00
消毒加药间
小动力及照明10.000.800.800.758.006.00
脱水机房
小动力及照明50.000.800.800.7540.0030.00
十一厂区及传达室
照明10.000.800.800.758.006.00
十二综合楼
照明30.000.800.800.7524.0018.00
空调30.000.800.800.7524.0018.00
化验设备20.000.800.800.7516.0012.00
十三机修
小动力及照明30.000.500.800.7515.0011.25
一期合计0.830.67639.00427.77
$\\Delta P_{\\mathrm{h}}=0.02 P_{\\mathrm{js}}$12.78
$\\Delta Q_{\\mathrm{h}}=0.1 P_{\\mathrm{js}}$42.78
加变损后0.810.72651.78470.55803.89
无功功率补偿255.46
补偿后高压侧0.950.33651.78215.09686.35
选SG10-800变压器1台
$负荷率: \\beta=86 \\%$
二期增加
氧化沟
"} {"image_path": "images/5986399f8f43243df1e619ce7c95ce0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
直径mm米电阻/(Ω/m)
GFC142WGFC123WGFC111WGNC112WGNC108WGNC101WCNC69WGSU72WGCM44WGCN49WGCN30WGCN15WGCN10WGCN5WGNA28WGN9 6W
0.852.502.161.961.971.901.771.221.270.7760.8610.5290.2640.1760.088 10.4940.169
0.902.231.931.741.761.701.591.081.130.6920.7700.4720.2360.1570.078 60.4400.151
0.952.001.741.571.581.521.420.9741.020.6210.6920.4230.2120.1410.070 60.3950.136
1.001.811.571.411.431.381.290.8790.9170.5600.6240.3820.1910.1270.063 70.3570.122
1.061.611.391.261.271.221.140.7820.8160.4990.5560.3400.1700.1130.056 70.3170.109
1.121.441.251.131.141.101.030.7000.7310.4470.4970.3050.1520.1020.050 80.2840.097 4
1.181.301.121.011.020.9880.9240.6310.6590.4030.4480.2740.1370.091 50.045 70.2560.087 8
1.251.161.000.9040.9130.8800.8230.5620.5870.3580.3990.2440.1220.081 50.040 70.2280.078 2
1.321.040.8990.8110.8180.7890.7380.5040.5260.3210.3580.2190.1100.073 10.036 60.2050.070 2
1.400.9230.7990.7210.7280.7020.6560.4480.4680.2860.3180.1950.097 50.065 00.032 50.1820.062 4
1.500.8030.6960.6280.6340.6110.5710.3900.4070.2490.2770.1700.081 90.056 60.028 30.1580.054 4
1.600.7060.6120.5520.5570.5370.5020.3430.3580.2190.2440.1490.074 60.049 70.024 90.1390.047 7
1.700.6260.5420.4890.4930 4760.4450.3040.3170.1940.2160.1320.066 10.044 10.022 00.1230.042 3
1.800.5580.4830.4360.4400 4240.3970.2710.2830.1730.1930.1180.058 90.039 30.019 60.1100.037 7
1.900.5010.4340.3910.3950.3810.3560.2430.2540.1550.1730.1060.052 90.035 30.017 60.098 80.033 9
2.000.4520.3910.3530.3560.3440.3210.2200.2290.1400.1560.095 50.047 70.031 80.015 90.089 10.030 6
2.120.4020.3480.3140.3170.3060.2860.1950.2040.1250.1390.085 00.042 50.028 30.014 20.079 40.027 2
2.240.3600.3120.2820.2840.2740.2560.1750.1830 1120.1240.076 10.038 10.025 40.012 70.071 00.024 4
"} {"image_path": "images/76857a8b663c0b23a742c45874a8028f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Inhalation
ResistanceNo.
nk Airflow
Range
(Liters/min)
11.64$ 2.0 \\times 10^{-3} $40-200
21.43$1.4 \\times 10^{-2}$ 35-200
31.36$ 2.5 \\times 10^{-2} $40-200
41.36$ 3.2 \\times 10^{-2} $40-200
51.26$6.0 \\times 10^{-2}$40-200
61.31$5.7 \\times 10^{-2}$40-200
71.35$ 5.2 \\times 10^{-2} $40-200
81.32$ 6.2 \\times 10^{-2} $35-200
91.20$ 1.2 \\times 10^{-1} $35-200
101.33$7.6 \\times 10^{-2}$40-200
1.00$2.0 \\times 10^{-2}$10- 60
Exhalation1.63$1.5 \\times 10^{-3}$60-100
Value1.88$4.3 \\times 10^{-4}$100-200
"} {"image_path": "images/30dd5bf81c5c2471a7fbb11cebdab10b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
戊三百二十五三千八百八十九三千九百
己三百二十六三千九百一三千九百十二
庚三百二十七三千九百十三三千九百二十四
辛三百二十八三千九百二十五三千九百三十六
壬三百二十九三千九百三十七三千九百四十八
癸三百三十三千九百四十九三千九百六十
"} {"image_path": "images/5e42514363bd4afe8541368260724a1f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n
ActivityTr. N. (%)RVMTGP LAP GCRTGC + RTImp. Ratio (%)
Acrobatics2010.289.455.535.465.055.117.57
405.655.205.085.054.574.697.76
605.374.845.045.144.264.3713.31
2011.8511.647.657.477.597.650.08
Boxing408.347.906.676.576.426.473.08
608.097.686.456.266.106.134.95
2026.0220.6410.5110.3210.009.984.98
Cartwheel4013.6813.239.138.818.818.754.15
6011.3310.838.538.098.268.174.28
205.715.594.114.063.863.885.65
Golf405.064.614.874.754.414.409.67
604.454.344.784.724.204.2211.73
207.727.583.723.543.673.632.38
Laugh404.774.552.972.772.672.6311.60
604.384.182.742.562.402.3613.71
208.568.296.536.476.576.58-0.85
Run406.486.435.955.945.815.871.47
606.196.155.865.605.255.2210.94
2014.9414.1410.6310.6110.4110.481.39
Swim4010.8510.619.709.639.109.155.66
6010.4110.209.519.438.848.916.30
204.083.953.123.082.932.955.41
Traffic404.724.573.643.513.263.2610.47
604.524.383.413.333.083.128.62
207.435.855.094.764.864.815.53
Walk403.233.132.832.792.522.559.72
603.163.062.762.682.412.4411.39
"} {"image_path": "images/fdc365dc4e27f251e0f90035179f31d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Matrix
Parameter Analyte Na Mg AI Si P S K Ca Ti Cr Mn Fe
aij-0.5588-0.4261-0.2820-0.11430.07410.27720.97891.23301.82932.5307-0.10260.0000
aijj-0.0361-0.0497-0.0642-0.0804-0.0979-0.1155-0.1687-0.1852-0.2196-0.25150.00000.0000
aijk 
















Na0.0000
Mg0.0005
AI0.00180.0004
Si0.00380.00150.0004
P0.00630.00320.00140.0003
S0.00890.00530.00280.00110.0003
K0.01710.01200.00820.00520.00300.0015
Ca0.01960.01420.01000.00670.00420.00240.0001
Ti0.02450.01860.01390.01000.00690.00460.00090.0004
Cr0.02910.02270.01760.01330.00970.00700.00210.00130.0003
Mn0.03610.04970.06380.07920.09520.11070.15370.16610.19020.2123
Fe0.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000
"} {"image_path": "images/bc69beb6b2cfc6118ed61fe0534bd504.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
expt% of\"heavy\"cpmpoly(U)bound%of\"light\"cpmpoly(U)bound% oftotalpoly(A)-RNA in\"heavy\"$region^a$% ofpoly(A)-RNA in\"heavy\"regionreleasedby $EDTA^b$
1-EDTA
+EDTA
5114
40
94
19
80
2-EDTA
+EDTA
32
21
1189
13
86
3-EDTA27786
4-EDTA36892
"} {"image_path": "images/d36d1e5bbf0314e89bbc5fa7e308bbca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DEMAND 1REQUIRED YOLUME OF EACHOPERATION PER PART
[cm³/PART]
PART10022010033000
10313024025000
1072103001101000
10820010021000
1108019090220200
"} {"image_path": "images/3f65d14e00a279fdc3eb997e38df2360.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
一、资金来源类二、资金运用类三、资金结存类
1固定资产总值1文体事业费1库存现金
2各种基金2宣传事业费2工作费存款
3经费结余3科技事业费3经费集中户存款
4拨交经费收人4出版事业费4基建存款
5文体事业收入5业余教育经费5固定资产
6出版事业收入6干部训练费
7业余教育收入7国际活动费1出国费
8政府补助收入2外宾招待费
9上级补助收入3国际业务费
10其他收入4其他
11拨人工作费8工会行政费1人事费
12拨入基建费2公务费
13暂收款3业务费
4设备费
5会议费
6修缮费
7其他费用
9基本建设费
10拨付工作费
11拨付基建费
12补助下级支出
13上解经费
14暂付款
"} {"image_path": "images/87afd59fedd90e5e3bead3683aaa061c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TPVHSv
300503.173258.70.49530.9828
1001.558256.80.46610.9657
2000.7486252.70.43500.9316
5000.2581238.90.38500.8305
1,0000.07024195.80.30880.6469
1,5000.02694141.50.22990.4797
2,0000.02515131.00.21370.3895
2,5000.02376128.10.20830.3360
3,0000.02306125.80.20380.3011
3,5000.02239124.00.20000.2768
4,0000.02181122.70.19690.2593
4,5000.02145121.60.19420.2465
340503.352268.50.50790.9861
1001.651266.80.47900.9723
2000.7998263.40.44850.9446
5000.2838251.60.40140.8591
1,0000.1094218.70.33920.7113
1,5000.03987176.40.27630.5770
2,0000.02909160.70.25290.4765
2,5000.02660153.90.24210.4134
3,0000.02493149.80.23490.3716
3,5000.02408147.00.22960.3424
4,0000.02332145.00.22540.3212
4,5000.02278143.40.22180.3054
380503.522278.60.52020.9869
1001.737277.10.49170.9736
2000.8446274.10.46190.9478
5000.3093264.60.41470.8745
1,0000.1214242.40.36930.7504
1,5000.06108212.40.32240.6450
2,0000.03729191.60.29190.5514
2,5000.03066180.70.27560.4844
3,0000.02787174.70.26580.4378
3,5000.02626170.90.25900.4049
4,0000.02516168.20.25370.3807
4,5000.02420166.10.24930.3625
420503.701289.00.53230.9899
1001.831287.90.50410.9798
2000.8972285.50.47500.9595
5000.3312278.50.43350.8977
1,0000.1534267.90.39920.7943
1,5000.08021250.60.36830.6999
2,0000.04933224.40.33070.6209
2,5000.03691209.30.30880.5559
3,0000.03212201.40.29640.5079
3,5000.02925196.50.28810.4723
4,0000.02742193.10.28180.4457
4,5000.02605190.40.27650.4257
"} {"image_path": "images/bdefafb2d8ee05ac7af9b149bfab44bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基本尺寸mm标 准 公 差 等 级
IT1IT2IT3IT4IT5IT6IT7IT8IT9IT10IT11IT12IT13IT14IT15IT16IT17IT18
大于$\\mu $mmm
-30.81.2234610142540600.10.140.250.40.611.4
3611.52.545812183048750.120.180.30.480.751.21.8
61011.52.546915223658900.150.220.360.580.91.52.2
10181.2235811182743701100.180.270.430.71.11.82.7
18301.52.546913213352841300.210.330.520.841.32.13.3
30501.52.54711162539621001600.250.390.6211.62.53.9
5080235813193046741201900.30.460.741.21.934.6
801202.5461015223554871402200.350.540.871.42.23.55.4
1201803.55812182540631001602500.40.6311.62.546.3
1802504.571014202946721151852900.460.721.151.852.94.67.2
250315681216233252811302103200.520.811.32.13.25.28.1
315400791318253657891402303600.570.891.42.33.65.78.9
4005008101520274063971552504000.630.971.552.546.39.7
50063091116223244701101752804400.71.11.752.84.4711
630800101318253650801252003205000.81.2523.25812.5
8001000111521284056901402303605600.91.42.33.65.6914
100012501318253347661051652604206601.051.652.64.26.610.516.5
125016001521293955781251953105007801.251.953.157.812.519.5
160020001825354665921502303706009201.52.33.769.21523
20002500223041557811017528044070011001.752.84.471117.528
25003150263650689613521033054086013502.13.35.48.613.52133
"} {"image_path": "images/46b3c198e084187450bc16a81675fe9e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ADF别下CaOMgOCO$_2$不溶残余ADF 阿CaOMgOCO$_1$不溶残余ADF 阳CaOMgOCO$_2$不溶残余
6823.881.0619.7552.5012547.091.1938.0412.65
6623.561.3519.8752.9012331.672.1827.1037.5073*0.752.624.9364.90
6419.961.1614.5163.4012234.562.0829.2531.507213.4613.4124.7943.55
6139.980.3931.6126.35121#1.932.374.1269.8569A27.7918.4941.588.45
5839.840.5831.7224.7012118.452.3717.0056.4067$^+$6.292.757.6775.75
5711.582.8012.1167.4512022.313.3621.1049.306425.8817.5539.1813.50
5540.650.1931.9225.7511929.330.8323.7944.9062$^+$18.7413.8229.8028.30
4937.950.3930.0329.7511837.182.2231.4427.206025.1517.9838.9113.20
4541.320.4832.7623.4011715.971.7814.4265.855724.1417.3337.4716.70
3913.861.6412.6168.00113*1.101.582.6076.855628.87 19.5543.165.30
3123.820.5819.2254.2010944.062.5737.7013.8555$^+$20.2713.8830.4129.30
2840.921.7033.7922.2010617.631.1915.0664.905230.4320.7445.961.30
2615.131.9313.9266.3510543.243.7637.8713.555131.0620.1546.371.00
2411.982.3811.9669.15$103^④$51.781.9842.573.105034.9616.3544.942.20
2320.731.9018.26566010345.722.3738.2712.104930.3119.7944.802.55
"} {"image_path": "images/b8fda5456bc293fe2c125718c8cadad1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BUS DATA LINE DATA
BUS
NUMBER
$3\\phi$ kW
LOAD
$3\\phi$ kvar
LOAD
FROM
BUS
TO
BUS
PHYSICAL SECTION LENGTH IN MILESWIRE SIZERESISTANCE OF SECTION IN OHMSREACTANCE OF SECTION IN OHMS
11640200123 . 904 Cu5.34343.0264
2980130233 . 504 Cu 4.79532.7160
3115060341 . 504 Cu2.05521.1640
4780110451 . 052 Cu0.90530.7886
51610600562 . 302 Cu1.98311.7276
61598184067. 812 Cu0.69840.6084
71790446781 . 702/0 Cu0.74631.2050
898034089. 88336.4 Al0.01400.6051
9$\\frac{1840}{12368}$$\\frac{460}{4186}$9Sub-Station$\\frac{.\\,63}{16\\,.\\,27}$300 Cu0.12330.4127
"} {"image_path": "images/668f6af6e99b862637e57b3738fc9d88.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
肉 类奶 类蛋 类
(千克/人/年) (年增长百分比)(千克/人/年) (年增长百分比)(千克/人/年) (年增长百分比)
199520051995-2005199520051995-2005199520051995-2005
黎巴嫩32.154.55.594.8110.01.55.37.94.2
阿拉伯利比亚民众国34.727.6-2.386.5110.52.57.59.22.0
摩洛哥18.623.82.532.938.11.56.25.2-1.8
巴勒斯坦被占领土27.056.28.9
沙特阿拉伯46.354.51.670.885.51.95.25.0-0.5
阿拉伯叙利亚共和国18.519.50.585.2104.92.16.17.31.7
突尼斯20.925.72.178.198.42.35.87.22.3
土耳其19.421.20.9137.4125.3-0.97.89.11.6
阿拉伯联合酋长国94.472.4-2.6141.797.0-3.712.310.0-2.1
也 门9.717.15.823.736.54.41.11.85.2
南 亚5.65.80.359.869.51.51.31.72.6
孟加拉国2.93.10.713.115.11.40.70.91.6
印 度4.75.10.857.765.21.21.31.83.0
马尔代夫11.119.45.745.090.87.35.69.95.9
尼泊尔9.49.70.336.440.71.10.81.02.0
巴基斯坦14.512.2-1.7126.1158.32.31.82.21.7
斯里兰卡5.37.13.031.530.8-0.22.42.0-1.6
撒哈拉以南非洲12.413.30.727.930.10.71.61.60.3
安哥拉11.318.85.318.612.8-3.70.31.113.3
贝 宁10.312.31.86.28.83.60.80.91.2
博茨瓦纳32.326.0-2.1113.782.3-3.21.72.85.3
布基纳法索13.915.91.418.116.3-1.02.42.4-0.3
布隆迪4.33.7-1.57.13.5-6.90.40.3-4.1
喀麦隆12.913.50.414.413.7-0.50.70.5-2.4
佛得角29.333.71.488.794.60.64.93.4-3.7
中非共和国25.831.01.814.216.21.40.40.3-1.2
乍 得13.312.6-0.623.022.5-0.20.40.3-3.3
科摩罗7.911.23.611.89.0-2.71.00.9-1.8
刚 果18.321.01.410.120.97.50.30.89.8
科特迪瓦13.713.0-0.58.510.01.60.91.23.2
刚果民主共和国5.44.6-1.60.91.33.20.10.1-0.2
吉布提15.220.93.258.253.1-0.90.80.3-9.1
厄立特里亚7.87.1-0.916.913.1-2.51.20.4-11.0
埃塞俄比亚7.88.30.716.322.43.20.40.4-0.2
加 蓬57.064.41.226.137.53.71.31.2-0.8
冈比亚5.98.74.014.619.93.11.01.64.2
加 纳9.510.61.12.87.210.00.60.84.0
几内亚5.87.52.614.213.1-0.81.11.84.8
几内亚比绍13.812.9-0.716.513.2-2.20.40.63.9
肯尼亚13.015.41.773.575.80.31.51.4-1.1
"} {"image_path": "images/f02cbb7fc2884fdb02a248cf45ffa102.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
列号 列号1 2345678910111213
(1) $\\left\\{\\begin{array}{l}3 \\\\ 4\\end{array}\\right.$22655988121111
4377610109131312
(2) $\\left\\{\\begin{array}{l}1 \\\\4\\end{array}\\right.$18910567567
31112131112138910
(3) $\\left\\{\\begin{array}{l}1 \\\\ 2\\end{array}\\right.$9108756675
1311121213111089
(4) $\\left\\{\\begin{array}{l}10 \\\\ 12\\end{array}\\right.$89675756
13111311129108
(5) $\\left\\{\\begin{array}{l}1 \\\\ 7\\end{array}\\right.$1234243
61113128109
(6) $\\left\\{\\begin{array}{l}1 \\\\ 5\\end{array}\\right.$423324
1312111098
(7) $\\left\\{\\begin{array}{1}3 \\\\ 12\\end{array}\\right.$42432
11139810
(8) $\\left\\{\\begin{array}{l}1 \\\\ 10\\end{array}\\right.$1234
9576
(9) $\\left\\{\\begin{array}{l}1 \\\\ 8\\end{array}\\right.$423
765
42
(10) $\\left\\{\\begin{array}{l}3 \\\\ 6\\end{array}\\right.$57
(11) $\\left\\{\\begin{array}{l}1 \\\\ 13\\end{array}\\right.$1
12
(12) $\\left\\{\\begin{array}{l}1 \\\\ 11\\end{array}\\right.$
"} {"image_path": "images/c56637993cdb4d345cca1df779d7af5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号定额编号项目名称 名称
规格
单 位
工 程 量
单 位
电焊条混凝土草袋水泥碎石碎石
425#5~405~15
kg$m^3$$m^2$$m^3$ttt
定额
数量
定额
数量
定额
数量
定额
数量
定额
数量
定额
数量
定额
数量
12-7-1平整场地$10m^2$16.54
22-1-17人工挖土$m^3$32.97
32-9-9道渣垫层$m^3$8.24
44-1-10C20 钢筋混凝土基础$m^3$23.810.19
4.52
1.02
24.286
0.75
17.86
1.41
33.57
514-1-4假山堆砌(5.2 m)t196.040.25
49.01
614-1-4假山堆砌(4.8 m)t162.520.25
40.63
714-1-4假山堆砌(3. 9 m)t8.850.25
2.21
814-1-1散驳石堆砌(1. 0 m)t1.030.17
0.18
小计 (一)4.5224.28617.86125.603.2895.5734.298
小计 (二)18.60
(一) + (二)合计4.5224.28617.86144.203.2895.5734.298
"} {"image_path": "images/92e3a70ea47e5cc2dc31c68e2e693048.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ent.Short NamesAqueousSolutions$\\lambda_{\\mathrm{x},-0.25}$nm$\\lambda_{\\mathrm{x},-0.50}$nm$\\lambda_{\\mathrm{x},max}$nm$\\lambda_{\\mathrm{x},+0.50}$nm$\\lambda_{\\mathrm{e},-0.25}$nm$\\lambda_{\\mathrm{e},-0.50}$nm$\\lambda_{\\text{e,max}}$nm$\\lambda_{\\mathrm{e},+0.50}$nm$\\lambda_{\\text{e},+0.25}$nm$\\lambda_{\\mathrm{e},+0.10}$nm$\\Delta_{s}\\\\{nm}$$ \\varepsilon_{\\max } $$ mм^{-1}cm{-1}$Φf$B_{\\max } $$ mм^{-1}cm{-1}$ClassRef.
5174,5,6,7-TetraF-Sifluorescein100 mMNaOH5515765986145895956146706937221684.10.5042.0$\\mathrm{Si}(\\mathrm{CH3}) 2$-Fluore4.9
518NR600PBS,1%DMSO pH7.45515806006135976036196466656891967.60.6845.9POOH-Fluoron4.12
519Distyryl-BODIPY 11PBS pH7.55465726016176266326557037397845417.90.040.7Bodipy-Med.4.14.2
520PONy P1-HaloPBS pH7.45465766036196106176356606767113218.00.264.6Pyronine4.4
521PONy P6PBS pH7.45465766036196136206386636807153569.00.096.2Pyronine4.4
522Atto 594 carboxylatePBS pH7.4, 22°C 54758360361760160862665268871823120.00.85102.0 Rhodam >6004.2.4
523Atto Rho13carboxylatePBS pH7.4, 22°C 54758460361860260962765469072324120.00.8096.0Rhodam >6004.2.4
524Abberior Star600 carboxylatePBS pH7.45505876046196006066236476777141993.00.8074.4Rhodam >6004.2.4
525NR604PBS, 1%DMSO pH7.45545846046186046106276546726972345.70.4821.9POOH-Fluoron4.12
5264,10-DibromanaphthofluoresceinC pH 9.55495786056246466556827287688117732.00.051.6Fluores-analog4.8.4
527DMAC-SR101PBS6056474280.00.097.2Hybrid-Fused4.40.1
528Tetramethycar-borhodamine10 mмHEPES pH7.356258860662060461062665968671820121.00.5262.9C(CH3)2-Rhoda4.3.1
529JF60810 mмHEPES pH7.35645896086236096156316646927252399.00.6766.3C(CH3)2-Rhoda4.3.1
5302'COOH-Si-rhodol100 mм PpH 7.45595886096256056116306777067342170.00.2215.4$\\mathrm{Si}(\\mathrm{CH3}) 2$-Rhod4.16
531Vita BlueC pH 9.55605866096256366436657317587935636.00.155.4S-Fluore-analog4.10
532$2'COOH-4CH_2OH$Si-rhodol100 mм РpH 7.45605896106266056116306777067342070.00.2114.7$\\mathrm{Si}(\\mathrm{CH3}) 2$-Rhod4.16
533DEAC-SR101PBS6106423280.00.108.0Hybrid-Fused4.40.1
"} {"image_path": "images/49f603514573684369d2d62b2e5c4b17.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
教 职 工 数
校 本 部 教 职 工科研机构人员校办工厂、农场职工附设机构人员
专 任 教 师教 辅人 员行 政人 员工 勤人 员
教授副教授讲 师教 员助 教
12 44263 516128 54723676141 899102 615159 278146 9803692059 05360 987
19198 193128613147977010 6991526615540677653866556
470206342019552672304044033358156514381530
22415484783707477936745800478164122822576
2011236256531233721570339835275008791018
15283217494693048156423262 471315893454
83035257 4231 537724460499 4838263122632322745
50223174 9941010477641786 55556231 5802 4112 640
4832 19940921 07367804 0026 1976 54512083 6203 542
1026450197091366977379831151310 751438352904017
73041869387179195657 10295319 141329143693486
28517433553529446628264 239341567813751150
371238640468063 41227174 3543643105613921 697
1539663211545354217123 20727028029951017
18715612345518421420143 473340316147501333
4242 67355704327 3324 3237 8436424110122312 682
31118144021866560729636239524017631342135
8994006760211909 30865469 31287992 4043 0494 829
3031 8414 625963577635305 4935223120617911 931
5922 8046 25358553274 63365215524191013103528
6584522162752608171527392 165212680762
968444286831 2208877793611 012113532 2412 6953940
193911189554117699432 6492285110502322
253153120885403 09916042 9962 246409272910
23237165276120432336529638
588334062776237 45056508 258766822202 8973977
1941 0751 724315240814342 4592 6436061162712
22204517576653285314812830128
121844576875936364449763205155
8358715131 07132251 3972 4052 9336871 177
"} {"image_path": "images/f55339a14ff9d73b975d9b627e589fe1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Argument u.Pos:tion.Distance.
A.B.A.B.Deimos.Phobos.
,,,,
0180178.8358.820.48.2
10190 144.5324.516.86.7
20200109.3289.319.98.0
3021088.4268.427.310.9
4022077.0257.035.814.3
5023070.1250.144.217.7
6024065.3245.351.620.7
7025061.4241.457.723.1
8026058.4238.462.325.0
9027055.6235.665.226.1
10028053.1233.166.226.5
11029050.5230.565.126.2
12030047.8227.862.625.1
13031044.8224.858.023.3
14032041.1221.152.120.9
15033036.4216.444.817.9
16034029.6209.636.514.6
17035018.7198.727.910.6
180360358.8178.820.48.2
"} {"image_path": "images/ac827a6dd0068df892828334b5709897.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年份内资企业私营企业外资企业
#### ##
企业总数(户)本年度新开业注册资本(万元) 本年度新增资本企业总数(户)本年度新开业注册资本(万元) 本年度新增资本企业总数(户)本年度新开业注册资本(万元) 本年度新增资本
199161689
19921372658929
19932293742108477515515
199425343325902215800315
19952614342102208000
19962821734513003220780-20
199737918690134541211196416
19985619242495559864543423146
19997118375391329012412463516351
200091205587918340246122132826931
20011293812197566096333873486621584
20022047512657345983352536971883187872240022400
2003342138156721109015191846897015273108213300010600
2004287551442521285806601411064003747013022418008800
2005322351623851813387521513324826848147175430812508
20063583619241330028117730219318559937165186899014682
200738022316211123798144827126204468859195308918126847
"} {"image_path": "images/1a2cf41832afdcb1ddf478cb89d1d034.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NucleiModel$2^+$$4^+$$6^+$$8^+$$10^+$$12^+$Sigma
$\\ce{^{122}Xe}$EXP330.96827.891466.192216.843038.933819.48
ab266.43793.331466.192216.843010.933830.960.081
pq294.21813.541466.192216.843046.883944.570.047
SRF285.99806.031490.792319.663029.333885.940.056
$P_{\\text{work}}$302.37818.721466.192216.843054.913969.000.039
$\\ce{^{124}Xe}$EXP354.00878.701548.202330.703170.303881.40
ab285.00842.641548.202330.703155.531005.420.082
pq317.70865.431548.202330.703194.234126.950.049
SRF306.10885.991574.102440.203174.074060.440.059
$P_{\\text{work}}$324.61869.821548.202330.703201.004148.420.044
$\\ce{^{126}Xe}$EXP388.63941.901634.902435.603359.714274.00
ab311.07902.921634.902435.603272.834131.240.078
pq355.22930.641634.902435.603315.224262.50
SRF334.33916.681659.902542.363290.124181.720.059
$P_{\\text{work}}$356.77932.171634.902435.603318.054271.660.034
$\\ce{^{128}Xe}$EXP442.911032.971737.002512.503196.403809.10
ab368.561002.951737.002512.503308.214115.120.091
pq448.881041.471737.002512.503354.574254.300.052
SRF394.071015.091770.212654.623319.874147.730.060
Ejiri480.751059.751737.002512.503386.504358.250.073
$P_{\\text{work}}$424.241032.431737.002512.503345.404227.120.051
$\\ce{^{124}Ba}$EXP229.50652.001229.001923.002687.003435.00
ab204.42613.181229.001923.002681.963483.160.045
pq213.14645.821229.001923.002705.283561.000.033
SRF217.08647.101267.502076.002702.113547.370.026
$P_{\\text{work}}$222.36653.911229.001923.002721.373614.170.025
$\\ce{^{126}Ba}$EXP256.10711.301332.702088.902942.303747.50
ab220.80689.571332.702088.902917.493793.410.057
pq229.74698.541332.702088.902942.313877.330.051
SRF234.29700.231365.602219.002939.533863.890.037
$P_{\\text{work}}$239.52707.341332.702088.902960.153935.640.033
$\\ce{^{128}Ba}$EXP284.00763.201406.902188.503082.303988.30
ab237.21734.431406.902188.503037.853930.550.069 498
pq249.21745.761406.902188.503066.174024.700.041 67
SRF252.52746.081437.602307.203060.174000.820.046 274
$P_{\\text{work}}$260.31754.771406.902188.503083.064079.740.035 593
$\\ce{^{128}Ce}$EXP207.30606.901157.501820.102531.203107.70
ab190.42596.741157.501820.102548.783321.060.044 094
pq197.41603.941157.501820.102569.553389.430.042 595
SRF201.75605.841198.801983.002568.203383.610.038 328
$P_{\\text{work}}$205.51611.591157.501820.102585.653244.690.03538
$\\ce{^{130}Ce}$EXP253.90710.501324.402053.002809.003312.00
ab225.17694.201324.402053.002841.883668.970.064 65
pq237.73705.761324.402053.002869.393688.560.0617
SRF240.03705.351369.802231.802862.433733.220.057 112
$P_{\\text{work}}$248.32714.011324.402053.002884.373508.020.052 791
"} {"image_path": "images/8d1301def910e5eef1ad4c93c3ffae59.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地区$K_c$1.01. 11. 21. 5
$~~~c_{d}$( #$~N_{t}$ 2.55.0102.5f . 0102.55.010 2.55.010
石湖山 10 $φ_{d}$ (0)8.4 8.78.513.013.113.017.617.617.5
$C_{d}~~(kPa)$ 67.89558.66.57.88.7
20 $φ_{d}$ 8.38.58.312.913.012.517.517.617.4
$C_{d}$ 5.57.27.744.47667.3
30 $φ_{d}$8.2 8.48.212.913.013.117.417.517.4
$C_{d}$ 4.8672.53.34.24.65.67.2
##港10 $φ_{d}$101010.511.311.411.41312.313.418.91918.7
$C_{d}$ 2.3 32.22.74.04.25.810.57.02.23.54.2
20 $φ_{d}$9.610.110.312.012.112.313.313.813.218.518.318.3
$C_{d}$ 2.11.81.82.52.42.83.83.05.41.03.03.6
30 $φ_{d}$9.81010.111.311.81213.513.513.41918.219.4
$C_{d}$ 1.31.01.62.12.11.82.43.23.602.00.0
"} {"image_path": "images/026cf7f1e041af86351ca3a34acf595e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
执 行日 期活 期定 期 整 存 整 取定期零存整取定期存本取息华侨定期整存整取
6个月1 年2年3 年5 年8年1年3年5年1年年3年5 年1年3年5年
1950.5.151024726666
1950.10.2010.526292727
1951.3.2610.527.5383434
1951.7.21923.53022.522.5
1951.12.17.5192622.522.5
1952.5.214.510.51210.510.5
1952.9.154.5101210.510.5
1953.1.14.591210.510.5
1954.9.14.591210.510.5
1955.10.14.59125.165.57.087.5
1958.10.12.45.16.6
1959.1.11.83433.644.254.5
1959.6.51.83433.6
1959.7.11.83.95.15.255.423.95.14.55.15.425.75
1960.6.11.85.175.55.83
"} {"image_path": "images/48459cb4a80cfb381a3dd0f6ba08ac22.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
无 性 系氨 基 酸(hRf)
未知物(0)赖氨酸(3.0)精氨酸(8.0)未知物(18.0)天冬氨酸(24.0)谷氨酸(28.7)丙氨酸(34.7)丝氨酸(42.0)组氨酸(49.3)缬氨酸(53.3)苏氨酸(62.0)亮氨酸(65.3)色氨酸(70.0)未知物(81,0)
RRIM603a,b,ca$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$b全部全部全部全部b全部$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$b,c,d,eb-
RRIM606b,ccb,d-d,e$\\mathrm{a}. \\mathrm{c}, \\mathrm{d}, \\mathrm{e}$全部d,e-全部c,d,e$\\mathrm{b}, \\mathrm{c}, \\mathrm{d}, \\mathrm{e}$--
RRIM609 cd$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$-全部全部全部$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$a$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$a,b,d$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$a-
RRIM612全部c,d$\\mathrm{a}, \\mathrm{b}, \\mathrm{d}, \\mathrm{e}$-$\\mathrm{a}, \\mathrm{c}, \\mathrm{d}, \\mathrm{e}$全部全部$\\mathrm{a}, \\mathrm{b}, \\mathrm{d}, \\mathrm{e}$a,c全部全部a,c,dc,e-
RRIM620cc,d$a, b, d, e$b,c,d全部全部全部全部$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$全部全部全部$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$b,c
RRIM622a,c,dc,d$\\mathrm{a}, \\mathrm{b}, \\mathrm{d}, \\mathrm{e}$$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$全部全部全部全部a,d全部全部全部全部e
RRIM623a,cca,b,d-$\\mathrm{a}, \\mathrm{b}, \\mathrm{d}, \\mathrm{e}$全部全部$\\mathrm{a}, \\mathrm{b}, \\mathrm{d}, \\mathrm{e}$b全部全部$\\mathrm{b}, \\mathrm{c}, \\mathrm{d}, \\mathrm{e}$b,d,eb
RRIM625$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$$a, b, c, d$全部$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$全部全部全部全部$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$全部全部$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$全部e
RRIM626a,b,ca,b,d$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$a,b,d全部全部全部全部$\\mathrm{a}, \\mathrm{b}, \\mathrm{c}, \\mathrm{d}$全部全部全部b,c,db,c
RRIM627a,c,e-全部-$\\mathrm{a}, \\mathrm{c}, \\mathrm{d}, \\mathrm{e}$全部全部$\\mathrm{a}, \\mathrm{b}, \\mathrm{d}, \\mathrm{e}$a全部全部c,d,ed-
"} {"image_path": "images/fefa2ebd581d4233c8b4dd76faf51344.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)
YearEarningsDepreciationInterestOther CostsProfit or Loss FixedAssetsexcl. land£000 Prov'nfor depre-ciation£000$ \\begin{gathered} \\text { % of } \\\\ (12) \\text { on } \\\\ (11) \\end{gathered} $ $\\%$ of(3)on Annualaverage of(11)
£000£000$\\%$ on (2)£000$\\%$ on (2)£000$\\%$ on (2)£000$\\%$ on (2)
1962-63151,46922,30814.721,17814.0108,74671.8L 763L 0.5673,507156,53923.23.5
1961-62140,20613,7069.820,08614.3108,37677.3L 1,962L 1.4588,86792,38515.72.4
1960-61136,14712,3859.117,64513.0103,35475.9P 2.763P 2.0534,95884,50015.82.4
1959-60125,58711,0588.815,34712.298,75478.7P 428P 0.3484,36276,63115.82.4
1958-59105,30312,19411.68130.886,31381.9P 6.043P 5.7435,71471,179*16.32.9
1957-5896,7689,69710.08450.982,21685.0P 4.010P 4.1392,04622,1825.72.6
1956-5790,2698,4549.48781.077,82086.1P3.117P 3.5350,75619,8265.72.5
1955-5681,1741,8502.39081.178,84197.1L 425L 0.5312,85317,2355.50.5
1954-5573,9486410.91,3201.872,13697.5L 149L 0.2278,77615,0025.40.2
1953-5469,3175520.81,2211.867,39197.2P 153P 0.2247,44114,0445.70.2
1952-5365,0214580.71,3502.164,15198.6L 938L 1.4216,93913,4326.20.2
1951-5262,1878691.41,4352.359,22095.2P 663P 1.1189,36511,6826.20.5
"} {"image_path": "images/4308f775635c97dabce585c42d88fd10.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
表名
总頁次
站名
站次
逐日降水量表汛期降水
量記录表
汛期降水量
分段記录表
蒸发量月
年統計表
24梅 菉148168—168
25黄 坡149168—168
1陆 川171181
2良 田171
3石 角172175—178181
4廉 江172179—179
5石徽173179—179
6青 平173179—180
7缸 瓦 窰174180—180
1高 垌183194—196214
2六 羊183197—200214
3石 南184214
4寒 山184214
5船 埠185201—204215
6馬 坡185
7民 富186215
8縁 霍186215
9博 白187204一207215
10永 安187
11那 薄188
12馬 田188
13石 角189
14鳳 山 圩189
15沙河寨190
16浦 北190211—211
17太 平 圩191
18張 黄 191211—212
19常 乐192207一210216
20武 利192212—212
21合 浦193213—213
1灵 山217224一224
2烟 墩217225一225
3陆 屋218221一223
4太 平218225—225229
5小 董219225—226
6大 寺219226—226
"} {"image_path": "images/adee1495c671b4b2df901ad02876b770.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Comorbid disorders CUD-SAD
n=340 (7.07%)
SAD no CUD (ref)
n=1643 (32.6%)
CUD no SAD (ref)
n=2957 (60.37%)
%SE%SEOR*95% CI%SEOR*95% CI
Any Psychiatric Disorder99.210.5587.361.0618.094.2776.6094.520.507.241.8328.70
Any Axis I Disorder98.990.5982.481.1820.836.1970.1193.860.516.422.0320.31
Any Substance Use Disorder92.521.8649.611.6012.577.1022.2390.760.631.260.722.19
Nicotine Dependence62.943.2526.481.344.713.396.5550.191.211.691.272.24
Alcohol Use Disorder86.102.4840.021.519.295.9814.4380.970.921.460.952.23
Alcohol Abuse28.783.1019.181.161.701.242.3332.911.050.820.601.13
Alcohol Dependence57.323.7020.831.265.103.657.1348.061.121.451.052.01
Other Drug Use Disorder**43.623.205.430.6813.489.2919.5839.781.181.170.891.54
Other Drug Abuse**34.853.163.720.5713.849.1121.0233.561.121.060.791.42
Other Drug Dependence**25.013.102.420.4413.468.2421.9812.090.792.431.683.50
Any Mood Disorder66.773.6452.201.501.841.312.5833.361.064.012.865.64
Major Depressive Disorder30.952.9234.811.420.840.631.1219.750.881.821.362.44
Bipolar I29.563.5212.791.002.862.004.099.740.703.892.655.72
Bipolar II5.121.593.410.471.530.773.022.660.311.980.964.07
Dysthymia10.141.8711.810.920.840.551.305.950.511.781.162.76
Any Anxiety Disorder65.493.3351.621.551.781.302.4422.340.936.604.799.09
Panic Disorder33.213.3719.611.132.041.452.879.110.684.963.536.97
Specific Phobia47.373.4036.131.401.591.182.1512.900.806.084.518.19
GAD31.653.1621.471.301.691.222.346.420.566.744.869.36
Conduct Disorder2.301.071.870.361.230.443.482.090.311.100.412.95
Pathological Gambling0.360.191.020.300.350.101.201.610.280.220.070.69
Psychotic Disorder7.612.012.630.393.051.546.032.080.363.891.947.78
Any Personality Disorder73.713.0051.481.482.641.903.6831.471.136.114.378.54
Avoidant31.833.2921.411.171.711.222.412.940.4515.449.9523.96
Dependent8.862.343.570.612.621.285.400.690.1713.897.2026.79
"} {"image_path": "images/f77095b530096dc82c799ea754558486.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
植物类别株形代码代表品种
乔木常绿针叶类塔状圆锥形CQ1雪松、龙柏
圆冠形CQ2油松、马尾松
其他形CQ3造型黑松、五针松
阔叶类高冠形CQ4南洋楹、幌伞枫
圆冠形CQ5天竺桂、芒果
塔状圆锥形CQ6尖叶杜英、竹柏
长圆形CQ7海南菜豆树、白千层
丛生形CQ8丛生香柚、丛生水蒲桃
其他形CQ9斜飘树
棕榈类直干大中形CQ10银海枣、大王椰子
直干小形CQ11布迪椰子、美丽针葵
弯干造型CQ12椰子、弯干银海枣
丛生形CQ13散尾葵、鱼尾葵
落叶高冠形LQ1凤凰木、复羽叶栾树
圆冠形LQ2无患子、大叶紫薇
塔状圆锥形LQ3细叶榄仁、水杉
丛生形LQ4丛生朴树、丛生乌桕
团冠形LQ5桃、黄槐
其他形LQ6垂柳、龙爪槐
灌木自然状灌木独干形G1多干紫薇、嫁接樱花
卵圆形G2桂花、石楠
丛生形G3紫荆、红绒球
整形灌木球形G4黄榕球、大叶黄杨球
扁球形G5海桐、龟甲冬青
塔形G6火山榕、红车
柱形G7垂榕柱
篱带形G8法国冬青
特型类特殊形G9旅人蕉、露兜
棕榈类G10棕竹、鱼骨葵
造型类G11造型榆树、造型勒杜鹃
地 被规整形D1六月雪、金叶女贞
自然形D2春羽、蜘蛛兰
花卉宿根水平形H1马缨丹、美女樱
竖线形H2射干、鸢尾
时令水平形H3一串红、三色堇
竖线形H4鼠尾草、禾穗花
藤本植物攀援形T1炮仗花、紫藤
垂枝形T2迎春、勒杜鹃
竹 类散生Z1毛竹、刚竹
丛生Z2青皮竹、佛肚竹
水生植物挺水S1再力花、菖蒲
浮水S2睡莲、菱角
沉水S3苦草、金鱼藻
草 坪混播草坪C1杂交狗牙根 + 黑麦草
暖季型草坪C2台湾草、马尼拉草
"} {"image_path": "images/14356e84d71332f0ca2c93603133d746.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelDiscrete time modelsDiffusion limit models
CVGARCHNGARCHC-GARCHC-NGARCH
Loglik-9690.36-9360.67-9337.06-9360.67-9337.06
Estim.Std. err.Estim.Std. err.$ \\text { Estim. } $Std. err.Estim.Std. err.Estim.Std. err.
$\\lambda$0.0174(0.0141)0.0322(0.0140)0.0134(0.0140)$\\lambda$0.0322(0.0140)0.0134(0.0140)
$\\omega$2.7077(0.1360)0.0305(0.0207)0.0191(0.0102)$\\beta_0$0.0305(0.0207)0.0191(0.0102)
$\\beta$0.9330(0.0303)0.9392(0.0196)$\\beta_1$-0.0095(0.0063)-0.0057(0.0035)
$\\alpha$0.0574(0.0258)0.0417(0.0149)$\\beta_3$0.0812(0.0365)0.0589(0.0211)
$\\gamma$-0.5668(0.1233)$\\beta_2$-0.0472(0.0162)
Stat.P-valueStat.P-valueStat.P-valueStat.P-valueStat.P-value
J-B24,490[0.0000]1815.7[0.0000]1262.6[0.0000]1815.7[0.0000]1262.6[0.0000]
Q(20)41.623[0.0031]34.200[0.0248]32.802[0.0355]34.200[0.0248]32.802[0.0355]
$Q^2(20)$635.02[0.0000]37.661[0.0043]36.893[0.0054]37.661[0.0043]36.893[0.0054]
ARCH5116.36[0.0000]4.3440[0.0006]3.4260[0.0043]4.3440[0.8199]3.4260[0.0043]
SIC3.83423.70413.69483.70413.6948
"} {"image_path": "images/cb59f360970b17da284addf803c634bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
包装制品业广州包装制品厂花地涌岸街36号全 民1 19515669215
广州塑料软包装厂明心路5号全 民49210938179
文体用品业广州珠江钢琴工业公司东漖镇鱼尾西路全 民5 6763 2636541 277
竹藤业广州市广州藤厂山村桥梓大街1号集 体1 59644692578
广州市联艺藤厂芳村大道146号集 体38389-124132
工艺美术品业广州市织金彩瓷工艺厂芳村大道97号集 体62241165636
化学用品广州市立新化工厂新隆沙西8-16号联 营4 597235100231
广州市珠江电化厂芳村大道140号全 民3 9012276484812
广州制漆厂东塱村全 民12 1213 6511 743991
广州市大群化工厂大冲口隆西直街60号集 体79731089105
广州市红光化工厂芳村大道148号全 民60633571203
广州市甘谷油墨联合厂花地涌岸街36号全 民116413733
广州派乐建筑涂料有限公司海北村中外合资3527819
广州百花香料厂茶滘村全 民9 2052 391860568
广州化妆品厂西塱鱼尾桥全 民5 5121 7781 400205
医药工业广州市卫生处理厂塞坝路21号全 民10185-3742
广东制药厂芳村大道91号全 民8 3493 34395892
广州制药厂白鹤洞山顶16号全 民4 0851 794905742
广州第十制药厂芳村大道155号全 民78649530245
广东制药厂医药生产合作社芳村大道91号集 体6600317
广州制药厂医药生产合作社白鹤洞山顶18号集 体8300279
广州市药材公司中药饮片厂芳村大道塞坝路12号全 民102
广东省医药保健品进出口公司药材加工厂花地花海街6号全 民35
橡胶塑料制品业广州橡塑制品厂下市直街19号全 民1 37437194326
建筑材料及其非金属矿物制品业广州市房管局预制件厂滘口路全 民1663372390
广州建材二厂芳村大道203号全 民1 5347629638
广州灰砂砖厂南海盐步镇河西全 民333821-17237
广州市建材水磨石厂茶滘庙前北街10号全 民75377040377
"} {"image_path": "images/1d883e1d6a303a905d3400065fe84327.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MassflowM,gm.persec.Temperatures, deg. C.fR$N\\sqrt{\\sigma}$P$R_{\\tau}$F$P_{\\tau}$$\\frac{\\rho U_{\\tau\\epsilon_{\\mathrm{S}}}}{\\eta}$$\\frac{1}{2}\\left\\{4\\log\\frac{3\\cdot7d}{\\epsilon_{\\mathrm{s}}}-f^{-0\\cdot5}\\right\\}$
WaterPipe
InletOutletInletOutlet
29·4$25\\cdot75_5$$21\\cdot27_5$$15\\cdot76_5$$15\\cdot88_5$$7\\cdot0\\times10^{-3}$$1\\cdot70\\times10^3$52·2$ 12.60\\times 10^{3} $6·4-2·44$ 0.75\\times 10^{3} $14·6-3·16
41·8$25\\cdot25_5$$20\\cdot54_5$$16.47_5$$14\\cdot10_5$16·4 ,,2·3979·618·0 ,,13·6-0·371·63 ,,31·0-1·09
53·7$27\\cdot80_5$$21\\cdot59_5$$18\\cdot08_5$$17\\cdot42_5$22·2 ,,3.27 ,,143·823.0 ,,21·70·192.42 ,,49·5-0·53
61·4$24\\cdot66_5$$20\\cdot07_{0}$$17·19_5$$16\\cdot75_5$25·5 ,,3·66 ,,161·526·5 ,,26·10·412·99 ,,59·5-0·31
96·1$22\\cdot78_{0}$$19\\cdot60_{0}$$17\\cdot24_{0}$$17\\cdot04_{0}$29·8 ,,5.76 ,,23841·5 ,,44·20·655.07 ,,100-8-0·07
115·8$23\\cdot49_5$$20\\cdot41_{0}$$18\\cdot10_5$$18\\cdot03_5$31·1 ,,7·10 ,,28649·9 ,,55·80·716·22 ,,127-2-0·01
121·3$22\\cdot62_{0}$$20\\cdot12_5$$18\\cdot07_{0}$$18\\cdot10_{0}$31·99 ,,7·44 ,,28852·3 ,,59·20·746·61 ,,135·00·02
135·1$22\\cdot27_5$$19\\cdot94_{0}$$17\\cdot92_5$$17\\cdot99_5$31·7 ,,8·25 ,,31558·4 ,,65·40·737·35 ,,149·10·01
171·0$22\\cdot27_5$$22\\cdot55_5$$18\\cdot76_5$$18\\cdot88_5$32·4 ,,10.68 ,,35573.9 ,,85·50·769.41 ,,195·00·04
283$21\\cdot12_{0}$$19\\cdot98_{0}$$18\\cdot30_{0}$$18\\cdot38_{0}$32·5 ,,17·47 ,,463122·4 ,,140·30·7715·60 ,,3200·05
357$21\\cdot46_{0}$$20\\cdot62_5$$18.99_{0}$$19\\cdot38_{0}$32·4 ,,22·5 ,,508154.2 ,,180·40·7619.63 ,,4110·04
387$21\\cdot68_{0}$$20\\cdot64_{0}$$18\\cdot66_{0}$$19\\cdot11_{0}$33·2 ,,24·2 ,,556167·2 ,,196·40·8021·5 ,,4480·08
388$20\\cdot74_{0}$$19\\cdot90_5$$18\\cdot19_{0}$$18\\cdot66_{0}$32·5 ,,24·0 ,,543167·8 ,,192·80·7721·4 ,,4400·05
395$21\\cdot94_5$$20\\cdot89_{0}$$18\\cdot92_5$$19\\cdot34_5$32·6 ,,24·8 ,,571170.4 ,,199·50·7721·8 ,,4550·05
407$21\\cdot57_{0}$$20\\cdot79_{0}$$19\\cdot07_{0}$$19\\cdot54_{0}$31·9 ,,25·8 ,,536175.9 ,,2050·7422.2 ,,4670·02
521$21\\cdot75_{0}$$20\\cdot91_{0}$$19\\cdot03_{0}$$19\\cdot52_{0}$31·4 ,,32.8 ,,665225 ,,2590·7228·2 ,,5910
528$22\\cdot58_5$$21\\cdot63_5$$19\\cdot49_5$$20\\cdot08_5$31·8 ,,33·8 ,,669227 ,,2680·7428.6 ,,6110·02
614$21\\cdot77_5$$20\\cdot76_5$$18\\cdot56_5$$19\\cdot05_5$31·3 ,,38·4 ,,793265 ,,3020·7233·2 ,,6890
629$23\\cdot47_5$$22\\cdot59_5$$20\\cdot31_5$$21\\cdot05_5$31·6 ,,41.1 ,,722271 ,,3250·7334·1 ,,7410·01
685$21\\cdot61_{0}$$20\\cdot67_5$$18\\cdot40_{0}$$19\\cdot01_{0}$31.5 ,,42·7 ,,829296 ,,3370·7337·2 ,,7680·01
829$21\\cdot71_{0}$$20\\cdot91_{0}$$18\\cdot50_{0}$$19\\cdot24_{0}$31·1 ,,51·9 ,,852358 ,,4070·7144.6 ,,928-0·01
886$22\\cdot26_5$$21\\cdot56_5$$19\\cdot42_5$$20.03_5$31.1 ,,56.6 ,,887382 ,,4440·7047·6 ,,1,012-0·02
899$22\\cdot02_{0}$$21\\cdot31_5$$19.30_{0}$$19.92_{0}$31·0 ,,57·2 ,,966387 ,,4480·7048·2 ,,1,022-0·02
"} {"image_path": "images/85d491475ab01c374c42a115c2dbb2d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$f_1$$f_2$1234567891015203050100200500$f_1$$f_2$
139.949.553.655.857.258.258.959.459.960.261.261.762.362.763.063.263.363.31
28.539.009.169.249.299.339.359.379.389.399.429.449.469.479.489.499.499.492
35.545.545.395.345.315.285.275.255.245.235.205.185.175.155.145.145.145.133
44.544.324.194.114.054.013.983.953.943.923.873.843.823.803.783.773.763.764
54.063.783.623.523.453.403.373.343.323.303.243.213.173.153.133.123.113.105
63.783.463.293.183.113.053.012.982.962.942.872.842.802.772.752.732.732.726
73.593.263.072.962.882.832.782.752.722.702.632.592.562.522.502.482.482.477
83.463.112.922.812.732.672.622.592.562.542.462.422.382.352.322.312.302.298
93.363.012.812.692.612.552.512.472.442.422.342.302.252.222.192.172.172.169
103.282.922.732.612.522.462.412.382.352.322.242.202.162.122.092.072.062.0610
113.232.862.662.542.452.392.342.302.272.252.172.122.082.042.001.991.981.9711
123.182.812.612.482.392.332.282.242.212.192.102.062.011.971.941.921.911.9012
133.142.762.562.432.352.282.232.202.162.142.052.011.961.921.881.861.851.8513
143.102.732.522.392.312.242.192.152.122.102.011.961.911.871.831.821.801.8014
153.072.702.492.362.272.212.162.122.092.061.971.921.871.831.791.771.761.7615
163.052.672.462.332.242.182.132.092.062.031.941.891.841.791.761.741.731.7216
"} {"image_path": "images/880dd353fae05157d44d422bb67ca689.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temp.(°K) C$(abs.J.deg^{-1}g^{-1})$Temp.(°K) C$(abs.J.deg^{-1}g^{-1})$Temp.(°K) C$(abs.J.deg^{-1}g^{-1})$
Run 1Run 3Run 5
84.390.55242051.1323202.006
93.770.60882151.1993402.030
105.750.67942251.2303602.341
118.770.74172351.2663702.501
132.290.81132451.3123802.826
145.870.88122551.3683903.251
158.690.92632651.4294004.944
170.900.98492751.5054025.153
183.171.02162851.6014103.178
195.481.10622951.6604123.112
207.331.14603051.6934203.716
218.791.20313151.8084305.838
Run 23251.9114367.868
3351.9924404.287
201.541.10453452.0834412.969
213.251.15753552.2184502.691
224.551.21473652.3404602.682
235.951.2795Run 44702.739
247.521.33874802.781
258.571.41202301.2834902.828
269.611.48022401.313Run 6
280.751.60382501.381
291.401.68562601.4494552.637
301.701.76102701.5034652.714
2801.5574752.791
2901.6544852.837
3001.7014952.884
3101.7845002.902
3201.872
"} {"image_path": "images/5be90185e3ba25e596e222b974978fe2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
温度范围(℃)30天25天20天15天10天7天4天2天
累计天数班升温.℃/时班升温.℃/时累计天数班升温时升温累计天数班升温时升温累计天数班升温时升温累计天数班升温时升温累计天数班升温时升温累计天数时升温累计天数时升温
0~1204101.25313.31.66313.31.662.5162.048202.532303.75245.01210
1205保温保温4保温保温4保温保温3.5保温保温 60保温保温48保温保温28保温14保温
$120 \\sim 180$7101.256101.255204.54.5202.572405.060405.0367.51815
1809保温保温8保温保温6保温保温5保温保温84保温保温68保温保温40保温20保温
$180 \\sim 300$13101.2410202.58202.56405.0108405.0 84607.54810.02420
30015保温保温12保温保温10保温保温7保温保温120保温保温 92保温保温52保温26保温
$300 \\sim 500$1916.62.081522.22.771233.34.168.544.55.5152506.25 11666.68.36614.33328.5
$500 \\sim 850$2238.84.861838.84.8615394.810.558.37.320058.3 6.1156708.758617.54335
$850 \\sim 900$28烧红砖6天24烧红砖6天18烧红砖3天13.5烧红砖3天224烧红砖1天1601002588254450
900~10002933.34,6624.566.68.331933.34.161466.68.323210012.51642002592254650
1000~118030607.5251201520607.515607.524012022.5 1683604596454890
备注 室外砌筑80米以上第一次烘窑80米以上第一次烘窑60米以上第一次烘窑 停修大检修3个月以上短期停窑检修短期停窑突击抢修 60米以上停留5天以内
"} {"image_path": "images/b1460a42bfb31dfa8618c971048b9644.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
mkvMNLZPAPR bound
31022882
142844
2044884
4102216162
1421684
2821648
204416164
1841688
308816168
5102232322
14232164
2823288
316232416
204432324
18432168
216432816
308832328
1168321616
401616323216
6102264642
14264324
28264168
316264816
432264432
204464644
18464328
2164641616
332464832
308864648
1168643216
2328641632
401616646416
13216643232
503232646432
"} {"image_path": "images/409a81b5f8f87d1b2f50b0b5514e857b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Source:Block-Cyclic(3)
LCC1
Indexslpidppid01234567791011121314151617181920212223242526
00012151617303132454647606162757677909192105106107120121122
11345181920333435484950636465787980939495108109110123124125
22678212223363738515253666768818283969798111112113126127128
339101124252639404154555669707184858699100101114115116129130131
44121314272829424344575859727374878889102103104117118119132133134
"} {"image_path": "images/bb3f0ff80cff45821e0c10b028c22cee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1050102ALPHA D3 30 po 0,5 mcg
E58% N250 E833 M814525,50647,4225161,8616
1050101ALPHA D3 30 po 1 mcg
E58% N250 E833 M814948,601.168,6725292,178
1050100ALPHA D3 50 po 0.25 mcg
E58% N250 E833 M814516,90636,8225159,2120
7094070ALPHAGAN 1 po 5 ml (0.2%)
%505,90623,2740249,312
1103765ALPHAPRES 30 po 1 mg
%169,90209,3260125,5916
1103766ALPHAPRES 30 po 2 mg
%288,10354,9460212,968
N002410ALUMINIUM hydroxide 500 mg
%
1328621ALUVIA 120 po (200mg + 50mg)
B2(0-4)%7.322,108.537,571
1328622ALUVIA 60 po (100 mg + 25 mg)
B2(0-4)%3.689,004.301,374
1072990ALVENTA 28 po 150mg
F3(23)% F40(01) F41% F431901,301.110,4150555,212
1072992ALVENTA 28 po 75mg
F3(23)% F40(01) F41% F431603,70743,7550371,884
7114744ALVESCO 160 1 po 60 doza (160 mc
J45% od 12 do 17 g.1.741,602.145,651
J45% od 18 g.1.741,602.145,6520429,131
7114741ALVESCO 80 1 po 10 ml (120 doza
J45% od 12 do 17 g.3.088,103.804,541
J45% of 18 g.3.088,103.804,5420760,911
1059092ALVODRONIC 1 po 150 mg
M80% M81%621,00765,0735267,77
1114554ALVOKAST 28 po 10 mg
J45% of $18 \\mathrm{~g}$.1.856,402.287,0935800,48
J45% od 14 do 17 g.1.856,402.287,09
1114552ALVOKAST 28 po 4 mg
J45% od 2 do 5 g.1.857,602.288,56
1114553ALVOKAST 28 po 5 mg
J45 % od 5 do 13 g.1.856,402.287,09
1042311AMARYL 30 po 2 mg
%147,40181,604
1042312AMARYL 30 po 3 mg
%247,90305,423
1042313AMARYL 30 po 4 mg
%247,90305,422
N001149AMILORID tablete 5 mg
%
N003533AMINOFILIN 350mg
%
1114503AMINOFILIN Retard 20 po 350 mg
%206,80254,785
1101402AMIODARON 60 po 200 mg
%833,601.026,992
1072762AMITRIPTYLINE, 100 po 10mg
%194,40239,509
1072763AMITRIPTYLINE, 30 po 25mg
"} {"image_path": "images/5be90185e3ba25e596e222b974978fe2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
温度范围(℃)30天25天20天15天10天7天4天2天
累计天数班升温.℃/时班升温.℃/时累计天数班升温时升温累计天数班升温时升温累计天数班升温时升温累计天数班升温时升温累计天数班升温时升温累计天数时升温累计天数时升温
0~1204101.25313.31.66313.31.662.5162.048202.532303.75245.01210
1205保温保温4保温保温4保温保温3.5保温保温 60保温保温48保温保温保温28保温14保温
$120 \\sim 180$7101.256101.255204.54.5202.572405.060405.0367.51815
1809保温保温8保温保温6保温保温5保温保温84保温保温68保温保温保温保温40保温20保温
$180 \\sim 300$13101.2410202.58202.56405.0108405.0 84607.54810.02420
30015保温保温12保温保温10保温保温7保温保温120保温保温 92保温保温52保温26保温
$300 \\sim 500$1916.62.081522.22.772.771233.34.1634.168.544.55.5152506.25 11666.68.36614.33328.5
$500 \\sim 850$2238.84.861838.84.8615394.810.558.37.320058.3 6.1156708617.54335
$850 \\sim 900$28烧红砖6天24烧红砖6天18烧红砖3天13.5烧红砖3天224烧红砖1天1601002588254450
900~10002933.34,6624.566.68.331933.34.1633.34.161466.68.323210012.51642002592254650
1000~118030607.5251201520607.515607.524012022.5 1683604596454890
备注 室外砌筑80米以上第一次烘窑80米以上第一次烘窑60米以上第一次烘窑 停修大检修3个月以上短期停窑检修短期停窑突击抢修 60米以上停留5天以内
"} {"image_path": "images/759a601f67a6e47504889503b09a5b80.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年份农民人均纯收入劳动者报酬家庭经营第一产业第二产业第三产业转移性收入财产性收入农民人均纯收入指数(上年=100)农民人均纯收入指数(1978=100)
1978109.3014.4691.641.501.70103.5100.0
1979131.0921.2198.129.012.75115.4115.4
1980161.5033.14111.6611.675.03116.6134.5
1981208.8724.20166.2211.526.93127.3171.2
1982223.1316.96184.2416.225.71105.3180.3
1983224.8720.62179.4621.053.74100.5181.1
1984262.8128.18212.5120.201.92115.5209.1
1985302.1427.25245.1023.995.80103.6216.6
1986303.5729.53258.9811.483.58100.9218.5
1987341.8432.35293.9111.883.70106.4232.5
1988397.7435.76342.6914.095.2099.2230.7
1989430.3444.07365.5515.025.7092.7213.9
1990435.1446.98365.29329.8010.7924.7416.666.2198.7211.0
1991465.5351.68389.90352.8611.8525.1917.316.64103.5218.4
1992506.1364.26409.79366.6614.9828.1523.578.51102.0222.9
1993579.6759.63481.75407.4416.5457.7835.243.0598.6219.8
1994786.8491.54633.18558.6522.6951.8448.5513.57106.6234.2
19951086.62146.34871.37765.9730.5874.8152.6316.28106.6249.6
19961276.67191.531014.72902.6326.9785.1257.7812.64105.5263.3
19971298.54191.151048.55949.6426.2172.7052.846.00104.2274.4
19981334.46229.951030.72910.9528.0091.7767.376.42104.4286.5
19991363.07263.501019.12872.5037.21109.4269.3811.07104.7299.9
20001374.16274.901029.45878.2041.92109.3362.846.97103.6310.7
20011411.73317.54 1013.91855.4546.99111.4167.7212.55103.7322.2
20021489.91386.86988.92815.1946.82126.9184.5829.55104.3336.1
20031564.66458.84988.48827.5338.00122.9580.5936.77104.7353.2
20041721.55505.241115.87947.5142.28126.0881.8918.55105.6373.0
20051876.96583.28 1153.36960.6536.76155.95104.8135.51105.2392.4
20061984.62715.491112.81906.0639.57167.18119.3836.93104.7410.8
20072373.99846.851320.061116.4544.94158.67160.3946.69111.6458.5
"} {"image_path": "images/3d74baccb33063f1174729957835a38c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Age(yr)$c_{\\text{head}}$$c_{\\text{ant.trunk}}$$c_{\\text{post trunk}}$$c_{\\text{upper arm}}$$c_{\\text{forearm}}$$c_{\\text{hand}}$$c_{\\text{thigh}}$$c_{\\text{leg}}$$c_{\\text{foot}}$
$\\bar{T}_{\\text{skref}}$$T_1$$T_2$$T_3$$T_4$$T_5$$T_6$$T_7$$T_8$$T_9$$T_{10}$ $T_{11} T_{12}$ $T_{13} T_{14}$ $T_{15}$
<10.190.140.200.080.060.050.110.100.07
1-40.170.140.200.080.060.050.130.100.07
5-90.130.140.200.080.060.050.160.110.07
$\\bar{T}_{\\text {sk15ad }}$Adult0.070.140.200.080.060.050.190.140.07
$\\bar{T}_{\\text{sk12}}$$T_1$$T_4$$T_5$$T_6$$T_7$$T_9$$T_{10}$ $T_{11} T_{12}$ $T_{13} T_{14}$$T_{15}$
<10.190.140.200.140.050110.100.07
1-40.170.140.200.140.050.130.100.07
5-90.130.140.200.140.050.160.110.07
$\\bar{T}_{\\text{sk8}}$$T_1$$T_5$$T_7$$T_9$$T_{10}$$T_{11}$$T_{13}$$T_{15}$
<1 0.190.140.200.140.050.110.100.07
1-40.170.140.200.140.050.130.100.07
5-90.130.140200.140.050.160.110.07
$\\bar{T}_{\\text{sk7}}$$T_1$$T_5$$T_9$$T_{10}$$T_{11}$$T_{13}$$T_{15}$
<10.190.340.140.050.110.100.07
1-40.170.340.140.050.130.100.07
5-90.130.340.140 050 160.110.07
$\\bar{T}_{\\text{sk4}}$$T_4$$T_8$$T_{11}$$T_{13}$
<10.530.190.110.17
1-40.510.190.130.17
5-90.470.190.160.18
$\\bar{T}_{\\mathrm{sk} 4 \\mathrm{P}}$0.500.200.100.20
$\\bar{T}_{\\mathrm{sk} 4 \\mathrm{R}}$0.300.300.200.20
"} {"image_path": "images/53fbe49d18fee41cb1ef9cc5e9b48e2c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
소수자권리여성 마돔/칭소년장애인 결혼이주자 이주노동자난민노인성소수자북한이탈주민군인
건강권건강 서비스 접근
아동 및 모성건강
육체적 건강
정신적 건강
건강 서비스에서의 차별
교육권교육지원에 대한 접근
교육선택권
교육의 질
교육에서의 차별
교육 불평등
문화적권리문화생활에 참여
과학의 발전을향유
창작물에 대한보호
문화적 다양성의 보호
기업과인권기업의 투명성과 형평성
공정거래와 소비자보호
지역사회 공헌
견고한 거버넌스
환경보존
환경권건강한 연환경을 누릴 권리
자연환경을 보호할 책무
자연재해로 부터의 보호
환 경 권 증 진 에참여할 권리
"} {"image_path": "images/5feb5c0b467999134a1fc12badd7cd24.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省、市、区耕地面积(万亩)人 口 (万 人)粮 食 产 量 水利建设完成上石方(亿立米)
总 人 口农业人口总 产 量(万吨)粮食播种面积(万亩)平均亩产(公斤)
长 江 流 域
总 计35,506.9439,748.1932,220.2215,828.9653,545.0029623.69
上 海484.791.337.00419.00244.36625.693910.33
江 苏2,917.233,424.652,585.621,521.894,180.063642.59
浙 江633.76713.50566.46419.781,144.993670.35
安 徽2,033.302,295.01,897.55942.982,883.513271.82
江 西3.524.303,810.003,053.001,658.205,551.542991.88
河 南1.403.491,006.41916.96407.761,836.012220.91
湖 北5.215.165,373.554,172.872.4507,8003145.24
湖 南4,893.416,031.945,106.442,659.017,934.573353.92
广 西130139127 9263.311993180.04
四 川9,448.410,813.389,218.724,266.314,741.62894.16
贵 州2,060.052,382.192,060.82502.322,850.381760.55
云 南1,250.731,276.811,066.32322.301,652.051950.68
陕 西1,025.46874.36778.06298.881,635.811831.14
甘 肃473.80257.51238.6370.98502.561410.07
青 海13.0612.8911.850.897.231230.01
珠 江 流 域
总 计7,061.648,486.206,847.332,622.609,718.132702.45
湖 南72.6995.8585.953#.66105.963180.04
广 东2,131.653,190.212,237.411,064.793,221.253311.2
广 西3,1933,366.002,879.911,037.914,183.632480.66
贵 州721.01854.78779.39192.02964.421990.13
云 南943.29979.36864.67294.221,242.872370.42
松 花 江 流 域
总 计18,006.005,206.423,015.834,003.9614,023.962862.62
内 蒙1,578.02411.68192.17228.991,245.161840.16
吉 林4.507.31,805.71,125.81,540.064,636.43320.10
黑龙江11.920.682,989.041,697.862,234.918,142.402742.36
辽 河 流 域
总 计6,808.633,396.782,031.382,003.776,091.273295.40
内 蒙2,322.8688.74550.29404.871,977.242051.75
辽 宁3,464.832,360.441,245.891,1333,081.433683.64
吉 林1,021.0347.6235.2465.91,032.64510.01
"} {"image_path": "images/d384a3c05e5c18eb6183e2067b45b7ef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\overline{x}$$\\overline{t}$I $(\\tau/h^{2}=1)$II $(\\tau/h^{2}=16)$III $(\\tau/h^{2}=32)$
PTGPTGPTG
0101,2011,6790,6821,2011,6790,6601,2011,6790,644
0,21,1671,4570,7751,1691,4500,7631,1701,4460,752
0,41,1291,4240,8241,1321,4240,8111,1341,4240,801
0,61,0851,4110,8681,0891,4110,8601,0921,4120,855
0,81,0341,3970,9271,0391,3980,9281,0431,3980,925
1,00,9721,3691,0000,9771,3821,0000,9811,3821,000
0201,2011,6790,7881,2011,6790,7811,2011,6790,773
0,21,1581,5350,8161,1581,5290,8151,1591,5240,812
0,41,1111,4400,8841,1121,4360,8871,1131,4340,884
0,61,0601,4170,9211,0611,4160,9231,0621,4160,921
0,81,0021,4060,9541,0021,4040,9611,0041,0040,959
1,00,9361,3771,0000,9351,3931,0000,9371,3921,000
0301,2011,6790,8471,2011,6790,8451,2011,6790,840
0,21,1511,5680,8531,1511,5670,8541,1521,5660,850
0,41,1011,4790,8911,1011,4740,8791,1021,4720,896
0,61,0461,4300,9361,0451,4280,9431,0461,4270,942
0,80,9851,4140,9660,9831,4130,9730,9841,4130,973
1,00,9161,3871,0000,9131,4041,0000,9141,4031,000
0401,2011,6790,8871,2011,6790,8881,2011,6790,884
0,21,1461,5760,8891,1461,5760,8911,1461,5760,888
0,41,0921,5050,9041,0911,5040,9091,0921,5030,907
0,61,0341,4520,9371,0331,4500,9441,0341,4480,944
0,80,9711,4240,9690,9681,4230,9770,9691,4220,977
1,00,8991,3951,0000,8961,4111,000 0,897 1,4111,000
"} {"image_path": "images/6e4761f12c4de9d9fe880ac22a4c919c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目数目年份干部总数党政机关政法外贸工业交通运输农林水利财贸科技文卫中小学教职员其他备注
1961279501390852161013526055314272013231931965 年干 部 总数 中 缺中 小 学教 职 员数。1971 年干 部 行业 分 布中 不 包括 非 在职 干 部
196224774131080536105026216539752433109062068
1963246791678894451125122503593332569233
1964250141471999391199191879749925809339
1965171761812983162320321968201699
197133179478368024404912815702314468479
1972393825152814460658929767150315014253692
1973398315324829490954030267268344214132361
1974415355775863525266528227432399414316516
1975421036091826537467427777439396814419515
19764307660608872577576628317601405714481616
19774404264438899578080728517765412014883495
1978459034255178210063509494531799419942
197944304429519889342308944512780520487
1980475324410274597418491247457937513717365
1981470574662307986452158445856086542818026
1982517004986359189509463852166760586019466
党委国家机关工会共青团妇联
198353347262450010144291278
198449123296245370144326301
198553104287149528152301252
198655427287151712169374301
行政机关事业单位企业单位中小学校
1987587121632412268928820832
1988605241689512634921421781
1989636411775113489943022971
19906567417747409069721
"} {"image_path": "images/e7b3176d6f24bcd541bbc6f2a500d972.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
螺纹规格 dM1 . 6M2M2 . 5M3M4M5M6M8M10
螺距 P0.350.40.450.50.70.811.251.5
amax0.70.80.911.41.622.53
bmin252525253838383838
$d_a$max2.12.63.13.64.75.76.89.211.2
$d_k$maxGB 818—853.2455.689.5121620
GB 819—8533.84.75.58.49.311.315.818.3
minGB 818—852.93.74.75.37.649.1411.5715.5719.48
CB 819—852.73.54.45.288.910.915.417.8
kmaxGB 818—851.31.62.12.43.13.74.667.5
GB 819—8511.21.51.652.72.73.34.655
minGB 818—851.161.461.962.262.923.524.305.707.14
rminCB 818—850.10.10.10.10.20.20.250.40.4
maxCB 819—850.40.50.60.811.31.522.5
xmax0.911.11.251.7522.53.23.8
$r_{1^{max}}$2.53.2456.58101316
十字槽槽号No .01234
H型插.入深度m 参考GB 818—851.71.92.734.44.96.9910.1
GB 819—851.61.92.93.24.65.26.88.910
minGB 818—850.70.91.151.41.92.43.145.2
GB 819—850.60.91.41.72.12.7345.1
maxCB 818—850.951.21.551.82.42.93.64.65.8
GB 819—850.91.21.82.12.63.23.54.65.7
Z型插.入深度m 参考GB 818—851.71.92.62.94.44.66.88.810
GB 819—851.8233.24.65.16.8910
minCB 818—850.650.851.11.351.92.33.054.055.25
CB 819—850.70.951.451.62.052.634.155.2
maxCB 818—850.91.21.51.752.352.753.54.55.7
GB 819—850.951.21.7522.53.053.454.65.65
l ( 商品规格范围公称长度 )3~163~203~254~305~406~458~6010~6012~60
l ( 系列 )3,4,5,6,8,10,12,( 14 ),16,20,25,30,35,40,45,50,( 55 ),60
"} {"image_path": "images/276349bee51c20c5c1ecf37d9e4d8a48.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HKL$d_{obs}$$d_{cal}$IHKL$d_{obs}$$d_{cal}$I
2009,0649,08160213,4943,4917
$20\\bar{2}$8,5408,5411003123,4210
0027,7897,80331$60\\bar{4}$3,4143,41417
1106,6640$22\\bar{1}$3,3953,39517
$11\\bar{1}$6,6026,60630$51\\bar{4}$3,395
1115,74102203,3323,33215
$11\\bar{2}$5,6315,6325$22\\bar{2}$3,3023,3034
$40\\bar{2}$5,3205,32613153,2673,2666
$31\\bar{1}$5,0135,01660223,2553,2557
$31\\bar{2}$4,94204023,251
2024,8054,801145103,2383,24010
1124,6464,644122213,1373,13715
3104,62401143,1150
$20\\bar{4}$4,5580$22\\bar{3}$3,0843,08922
$11\\bar{3}$4,5484,54810$51\\bar{5}$3,084
4004,5410$11\\bar{5}$3,0630
$31\\bar{3}$4,4564,45710$40\\bar{6}$3,0533,05318
$40\\bar{4}$4,2704,270202043,050
3114,0194,01656003,0283,02722
0043,9003,9025$42\\bar{2}$2,9712,97210
$31\\bar{4}$3,83600232,9502,95026
1133,7630$20\\bar{6}$2,9440
$11\\bar{4}$3,6933,69210$42\\bar{1}$2,9400
$51\\bar{2}$-3,66103132,9220
$51\\bar{3}$3,6123,61465112,9142,9127
0203,5820$42\\bar{3}$2,9000
$51\\bar{1}$3,5133,517162222,8712,87112
$60\\bar{2}$3,513
"} {"image_path": "images/b193c28f1358f3e4a44c7662928de3c1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
职 务姓 名应发工资/元代扣代缴明细/元计税工资/元个人调节税/元实发工资/元
工资明细扣款明细小计 公积金( 10% ) 养老金( 8% ) 失业金( 1% ) 医保( 4元 ) 门诊( 2% )扣款合计
基本工资效益工资通信费病假事假迟到
生产工人丁露茜80060021002101682144229816551655
生产工人金姗80060021002101682144229816551655
生产工人周国芳80060021002101682144229816551655
生产工人王佳80060021002101682144229816551655
小计210002100168021040420445016550016550
二车间
生产工人李俊80060023002301842344629818131813
生产工人惠可娜80060023002301842344629818131813
生产工人杨洪燕80060023002301842344629818131813
生产工人居军80060023002301842344629818131813
生产工人施昂80060023002301842344629818131813
生产工人陈文涛80060023002301842344629818131813
生产工人李求赟80060023002301842344629818131813
生产工人叶晨曦80060023002301842344629818131813
生产工人潘理珺80060023002301842344629818131813
生产工人邵军鹏80060023002301842344629818131813
生产工人徐卫平80060023002301842344629818131813
生产工人余作献80060023002301842344629818131813
生产工人郭响南80060023002301842344629818131813
生产工人陈舜键80060023002301842344629818131813
生产工人何龙80060023002301842344629818131813
生产工人张林斌80060023002301842344629818131813
生产工人张晓伟80060023002301842344629818131813
生产工人余鹏80060023002301842344629818131813
生产工人朱忠栋80060023002301842344629818131813
生产工人吴立健80060023002301842344629818131813
小计460004600368046080920974036260036260
合计112000112008960112019222402371288288371.287916.8
"} {"image_path": "images/7b83a7254a83b864d3be944e9e29ed3c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
sincostgctgsincostgctg
0.12187.99255.122788.14436030.13053.99144.131657.595830
1.12216.99251.12308 .12485931.13081.99141.13195 .578729
2.12245.99248.12338 .10545832.13110.99137.13224 .561828
3.12274.99244.12367 .08605733.13139.99133.13254 .544927
4.12302.99240.12397 .06675634.13168.99129.13284 .528126
5.12331.99237.124268.04765535.13197.99125.133137.511325
6.12360.99233.12456 .02855436.13226.99122.13343 .494724
7.12389.99230.12485 .00955337.13254.99118.13372 .478123
8.12418.99226.125157.99065238.13283.99114.13402 .461522
9.12447.99222.12544 .97185139.13312.99110.13432 .445121
10.12476.99219.125747.95305040.13341.99106.134617.428720
11.12504 .99215.12603 .93444941.13370.99102.13491 .412419
12.12533.99211.12633 .91584842.13399.99098.13521 .396218
13.12562.99208.12662 .89734743.13427.99094.13550 .380017
14.12591.99204.12692 .87894644.13456.99091.13580 .363916
15.12620.99200.127227.86064545.13485.99087.136097.347915
16.12649.99197.12751 .84244446.13514.99083.13639 .331914
17.12678.99193.12781 .82434347.13543.99089.13669 .316013
18.12706.99189.12810 .80824248.13572.99075.13698 .300212
19.12735.99188.12840 .78824149.13600.99071.13728 .284411
20.12764.99182.128697.77044050.13629.99067.137587.268710
21.12793.99178.12899 .75253951.13658.99063.13787 .25319
22.12822.99175.12929 .73483852.13687.99059.13817 .23758
23.12851.99171.12958 .71713753.13716.99055.13846 .22207
24.12880.99167.12988 .69963654.13744.99051.13876 .20666
25.12908.99163.130177.68213555.13773.99047.139067.19125
26.12937.99160.13047 .66473456.13802.99043.13935 .17594
27.12966.99156.13076 .64733357.13831.99039.13965 .16073
28.12995.99162.13106 .63003258.13860.99035.13995 .14552
29.13024.99148.13136 .61293159 .13889.99031 .14024 .13041
60.13917.99027.140547.11540
cossinctgtgcossinctgtg
82°
"} {"image_path": "images/3ea9656691309e9f10b957ab068b8ee4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
200820092010201120122012201310 年平均
第三季度第四季度第一季度第二季度
新兴市场4.12.02.13.02.72.92.72.82.92.6
亚洲4.21.72.02.82.32.52.32.42.52.4
欧洲 / 中东 / 非洲4.32.22.13.23.53.63.53.53.72.7
拉丁美洲4.02.7 2.33.33.23.53.23.23.52.9
阿根廷2.71.11.98.45.616.65.65.45.83.2
巴西4.62.92.74.14.14.64.14.14.73.5
智利2.61.61.42.32.12.22.12.11.92.1
中国3.11.92.23.22.93.22.93.13.52.4
哥伦比亚2.42.82.12.62.94.12.93.03.22.7
埃及6.34.83.55.33.53.23.53.13.33.5
匈牙利4.61.31.62.43.53.13.53.53.62.3
印度1.80.90.91.51.31.31.31.41.41.3
印度尼西亚5.41.92.22.42.42.52.42.22.42.9
约旦3.43.12.53.14.34.44.34.74.82.7
马来西亚4.12.42.32.82.92.92.92.92.92.7
墨西哥2.82.41.61.21.41.31.41.51.51.8
摩洛哥3.24.94.35.54.74.74.74.84.53.9
巴基斯坦12.56.45.68.37.17.57.17.67.06.6
菲律宾4.42.22.42.72.02.22.01.61.82.3
波兰5.93.02.55.45.66.05.65.96.13.6
俄罗斯3.51.41.52.43.63.63.63.83.92.1
南非4.52.72.33.23.23.23.23.23.23.0
斯里兰卡9.81.61.22.22.22.22.22.12.12.6
泰国6.52.92.63.32.83.02.82.82.93.4
土耳其5.82.12.23.32.22.52.21.82.32.8
"} {"image_path": "images/8a12ef622850d34db1d41145416f990d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Species^{a}$FirstSecondThird
ACGTACGTACGT
Catarrhines
Homo28.527.226.318.024.625.911.038.632.940.87.518.9
Pan27.628.126.817.524.125.411.439.036.836.83.922.4
Gorilla28.126.326.818.924.125.911.438.635.540.45.718.4
Hylobates28.528.126.317.124.625.911.038.636.436.45.321.9
P. anubis30.325.425.019.324.626.811.038.639.936.46.617.1
P. hamadryas30.325.425.019.324.626.811.037.740.436.86.116.7
Theropithecus29.425.426.818.424.626.811.037.740.832.05.721.5
Cerocebus28.927.225.918.024.626.311.038.243.933.82.220.2
Mandrillus29.826.825.917.524.627.211.037.341.733.84.819.7
M. fascicularis28.927.625.917.524.626.811.037.740.836.86.116.2
M. mulatta29.427.625.417.524.126.811.437.739.933.35.721.1
Ceropithecus30.725.424.119.724.627.611.036.839.535.15.719.7
Platyrrhines
Lagothrix27.623.724.624.127.224.110.837.940.533.64.321.6
Alouatta27.226.325.021.627.224.110.837.938.830.66.024.6
Tarsiers
T. syrichta29.426.324.120.227.224.111.037.743.028.52.625.9
T. bancanus28.926.323.721.126.824.611.037.741.223.23.532.0
Strepsirhines
Daubentonia32.024.622.421.126.825.911.036.438.233.36.122.4
Hapalemur26.325.025.423.226.324.611.038.243.422.44.030.3
Lemur catta25.025.927.222.027.225.011.037.744.325.02.228.5
Lemur macaco25.926.825.421.925.924.611.438.240.823.25.730.3
Varecia26.826.324.622.425.925.411.836.842.525.93.528.1
Cheirogaleus27.624.625.422.425.425.411.837.341.227.24.427.2
Propithecus26.825.925.022.425.924.611.038.637.330.38.823.7
Nycticebus28.924.624.621.926.824.111.437.737.728.97.525.9
Galago27.624.127.620.627.624.111.436.840.435.15.319.3
Mean28.526.025.420.125.625.611.237.839.932.05.123.0
SD1.61.21.22.11.21.10.30.72.75.31.74.5
$\\text{Bias (C)}^{\\text{b}}$
Primate COII0.0650.1850.292
$\\text{Cytochrome } b^{\\text{c}}$0.0760.2210.401
$\\text{Insect COII}^{\\text{d}}$0.1750.2330.490
"} {"image_path": "images/39b13ce38d419de8be25efbfa681c892.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
铁心型号$(a \\times b \\times h)$技术指标空载特性其他数据
$P_2$$\\eta$$B_0$$B_-$J$\\varDelta$U$VA_\\phi$$P_c$一次电压 $U_{1}=220 \\mathrm{~V}$一次绕组匝数$N_{1}$每伏匝数$TV_2$$\\Delta \\tau_{\\text{m}}$
$I_φ$$I_c$$I_0$
(W)$P_2/P_1$(T)(T)$ (A/mm)^{2} $(%)(VA)(W)(A)(A)(A)220V(T/V)(℃)
Ⅲ 级 品 铁 心
XCD10 ×20 ×204.060.6951.551.364.37253.940.42217. $9 \\times 10^{-3}$$ 1.92\\times 10^{-3} $$18.0 \\times 10^{-3}$347422.118.6
255.740.7064.370.46919. $8 \\times 10^{-3}$$ 2.13\\times 10^{-3} $$20.0 \\times 10^{-3}$22.1
328.380.7154.950.530$22.5 \\times 10^{-3}$$ 2.41\\times 10^{-3} $$ 22.6\\times 10^{-3} $26.5
4011.10.7205.610.603$ 25.5\\times 10^{-3} $$ 2.74\\times 10^{-3} $$25.7 \\times 10^{-3}$29.6
XCD12.5 ×25 ×2517.90.7241.551.365.48256.790.82830. $9 \\times 10^{-3}$$ 3.76\\times 10^{-3} $$31.1 \\times 10^{-3}$222013.546.1
3224.30.7291.365.22257.590.926$34.5 \\times 10^{-3}$$ 4.21\\times 10^{-3} $34. $8 \\times 10^{-3}$53.3
4031.50.7351.365.1524.68.511.04$ 38.7\\times 10^{-3} $$ 4.71\\times 10^{-3} $$ 38.9\\times 10^{-3} $13.460
5039.70.7551.374.7522.89.651.18$ 43.8\\times 10^{-3} $$ 5.35\\times 10^{-3} $$ 44.2\\times 10^{-3} $13.1
XCD16 ×32 ×32 38.90.7411.551.376.6723.513.41.6461. $1 \\times 10^{-3}$$ 7.47\\times 10^{-3} $61. $6 \\times 10^{-3}$13568.0660
4051.40.7701.395.9020.714.91.82$ 67.9 \\times 10^{-3} $$ 8.29\\times 10^{-3} $$ 68.4\\times 10^{-3} $7.78
5064.20.7921.405.3518.816.82.05$76.4 \\times 10^{-3}$$ 9.33\\times 10^{-3} $$ 76.9\\times 10^{-3} $7.60
6481.30.8071.424.9417.419.42.37$88.3 \\times 10^{-3}$$ 10.8 \\times 10^{-3} $$88.9 \\times 10^{-3}$7.47
XCD20 ×40 ×4096.30.8491.551.454.5712.726.33.200.119$ 14.6\\times 10^{-3} $0.1208684.5260
501150.8591.464.2411.829.23.580.133$ 16.3\\times 10^{-3} $0.1344.48
641460.8711.473.8810.833.34.060.151$ 18.5\\times 10^{-3} $0.1524.43
801920.8811.601.523.659.8044.34.950.201$ 22.5\\times 10^{-3} $0.2038424.24
XCD25 ×50 ×502310.8941.601.533.818.2160.16.720.273$ 30.5\\times 10^{-3} $0.2755382.6755
502830.9021.543.517.5767.57.550.307$ 34.3\\times 10^{-3} $0.3092.65
643500.9101.543.216.9376.08.500.346$ 38.6\\times 10^{-3} $0.3482.63
804260.9151.553.026.5186.69.690.394$ 44.0\\times 10^{-3} $0.3962.62
XCD32 ×64 ×645590.9301.601.562.824.7412614.10.574$64.2 \\times 10^{-3}$0.5783281.5755
806530.9331.562.684.5114015.70.637$ 71.3\\times 10^{-3} $0.6411.56
1008100.9391.572.444.1115817.60.717$ 80.1 \\times 10^{-3} $0.7211.56
1259950.9461.572.273.8217920.10.816$ 91.2\\times 10^{-3} $0.8211.55
XCD40 ×80 ×8012670.9501.551.532.283.1421225.90.9630.1180.9702161.0255
10015590.9541.532.072.8523528.71.070.1311.081.02
12519000.9581.531.912.6326432.31.200.1471.211.01
16023830.9611.531.762.4330537.31.390.1701.401.01
XCD50 ×100 ×10028180.9641.551.541.681.8541450.61.880.2301.901380.6455
12533900.9671.541.551.7216056.32.090.2552.110.64
15011760.9701.541.131.5852164.02.380.2912.340.64
20050230.9711.541.341.4859772.02.710.3322.730.64
"} {"image_path": "images/68ce49c2b373e55a237b915534e04c12.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
煤资源恢复部门石油资源恢复部门天然气资源恢复部门231112
煤资源动用量000341886.5000
石油资源动用量000043 042.4200
天然气资源动用量0000183.066700
214 705.1310 794.641 022.847250 9225 661.5491 677 4206 793.039
311 189.788 214.118778.330136.897197 699.72443 114.94 312 463
1137 311.2927 389.222 595.27465 561.8222 807.2261 960.711 658.21
1219 866.9314 583.781 381.889125 276.554 012.76523 780.5184 189.8
136 143.8664 510.048427.34881 092.443219.52942 055.1236.6394
1156 730.1115 051.310 901.7130 089.22277.30031573.62228.3653
670 116.5851 470.74 877.1162 626.2051 125.0122 912.371767.0094
769 699.3951 164.454 848.09930 349.6720 183.339 547.4092 060.252
1037 841.5927 778.52 632.15624 431.6712 673.1147 161.623 855.732
14123 528.790 679.058 592.313212 013.6127 065.6135 636.6131 401
1569 193.7450 793.274 812.926259 553176 158.7195 30560 218.93
16279 474.6205 154.819 439.48292 499.9190 966.372 151.648 472.682
18-21388 269.5285 018.227 006.94759 696.8626 680.5708 563.499 678.13
qtgye189 533139 131.113 183.39691 690.4274 150.3451 675.879 803.73
2589 905.0865 996.926 253.557 914.789802.711517 509.462 813.195
ysydye61 156.4144 893.274 253.872176 520.166 874.38494 598.1281 567.8
syye201 626.4148 008.514 024.57399 653.4229 344.4663 656.5678 997.8
qtffye194 038.4142 438.413 496.77330 757.2192 486.6308 617.476 436.17
废水产生量000138 377.5162 441.5377 895.365 211.62
废气产生量0002 8343 32755 6952 467
固体废物产生量00013 22115 5209 373487
固定资本折旧62 308.7108245 739.13464 334.018794961 4951 237 4102 054 877395 270.5
劳动者报酬58 017.69442 589.2354 035.55891 960 053254 721693 860.6175 245.5
生产税净额000-417 37172 870.41 380 6991 145 806
营业盈余212 852.0992156 248.615414 805.42521679 810.92 216 9551 596 731616 147.7
增加值合计333 178.5244 577.323 174.963 174 0473 781 9575 726 1672 332 470
总投入49 164.597994 478.09180190.030129627 257 2236 100 05911 779 9506 299 834
人工资产固定资产
自然实物资产000292 721.9000
石油000038 564.3300
天然气000093.0365400
自然环境资产00079 01692 757215 78537 237
0001 578.8621 853.51931 028.481 374.401
土地000552.3881648.4428391.614320.3474
"} {"image_path": "images/2880d67176bd952395668288805fc095.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "

一 月二 月三 月四 月五 月六 月七 月八 月九 月十 月十 一 月十 二 月
128.3
214.1
31.8
414.2
5
635.2
7
88.242.03.00.9
9
10
1120.0
127.46.2
13
1415.91.81.0
1524.51.4
1634.936.2
170.741.19.621.81.4
1817.810.01.1
198.136.433.6
2064.0
2115.09.7
2210.51.0
2333.0
242.10.2
252.014.72.1
2683.8
2736.055.6
2811.81.81.10.1
2947.9
3018.024.61.6
3113.1
降 水 量240.8322.7119.#226.59.96.42.20.0
最大日降水量83.855.642.064.03.02.11.0
年 统 計降水量 (92%,3)降水日数 (53)最大日降水量 83.8 5 月 26 日最大月降水量 322.7 6 月
初霜 月 日 ( 年 月 日 )降霜 月 日初雪 月 日 ( 年 月 日)降雪 月 日
附 註
"} {"image_path": "images/336a87ba61988dc583fc7af0aeaec720.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TaxonNLocomotionPostureFemLenCalcLenAntCalcPostCalcSustPos MetaIIIMet/Fem$(R_I)$Ant/Post$(R_2)$Sust/Calc$(R_3)$
Melursus ursinus2ScanP3I9.57I.0I2.855.365.757·50.I80.23I.08
TremarctosIScanP286.056.0I0.842.447.I53·50.I90.25I.I9
ornatus
*Ursus americanus49 ScanP297.463.II8.645.654.859·40.200.4II.I5
*Ursus arctos4ScanP443.895.3I9.475.984.395.I0.220.27I.I3
Ursus maritimus3TerrP464.3IOI.8I8.082.890.397.30.2I0.22I.I3
Ursus thibetanus2ScanP3I9.070.8II.855.I60.855·70.I70.2II.I6
Procyonidae
* Bassaricyon gabbii42ArbP69.7I7.96.0I0.9I4.327.80.400.55I.25
* Bassariscus astutusITerrSD68.6I6.35.2IO.II2.924.40.350.52I.27
* Bassariscus sumichrastiITerrSD78.5 I9.58.9II.6I4.730.I0.380.76I.33
* Nasua naricaIScanPII9.I28.9II.8I8.I23.43I.80.270.66I.23
Nasua nasua2Scan P94.524.87.0I6.II9.526.60.280.43I.27
* Potos flavus2ArbP93.I23.37.8I4.6I9.829.00.3I0.55I.I8
* Procyon cancrivorus5ScanSDI45.437.8I5.624.23I.452.00.360.65I.2I
* Procyon lotor3ScanSDII9.229.3II.9I7.9 23.636.9 0.3I0.69I.24
Mustelidae
Mustelinae
Arctonyx collarisISemFosSDI04.926.99-5I9.I 23.727.60.260.50I.I4
"} {"image_path": "images/a15d1e9cbd052c8718ec5a1a4f61fb86.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
e/mma(°)z=400mm
6 # 12t=88 # 12t=86 # 14t=108 # 14t=106 # 16t=108 # 16t=106 # 18t=128 # 18t=126 # 20t=128 # 20t=126 # 22t=146 # 25t=16
0099.6125.5128.5161.8158.5199.6188.8237.7218.5275.1246.8284.5
1088.7112.5115.3146.2142.7180.9171.4217.1199.2252.3226.8264.2
2082.2104.8107.6137.1133.5170.1161.4205.5188.4239.7215.9253.8
3078.8101103.8132.9129.1165.2157.1200.9183.9235.1212.2251.6
4077.9100.3103.2132.8128.7165.6157.6202.5185.2237.8215.0257.1
5079.4102.8105.9136.9132.4171.1163.1210.6192.3248.2224.8271.3
6083.7108.8112.2145.9140.6182.8174.5226.5206.6268.0243.3296.8
7091.3119.5123.4161.4155.0202.7193.9253.3230.7301.2274.2338.8
80103.8137.0141.7186.8178.8235.7226.0297.7270.5356.1325.3409.2
90124.9166.5172.6230.1219291.9380.9374.6339.3452.4415.5537.2
50099.6125.5128.5161.8158.5199.6188.8237.7218.5275.1246.8284.5
1087.8111.3114.2144.7141.3179.1169.9215.1197.5250.1225.0262.3
2080.6102.8105.7134.6131.2167.1158.8202.1185.4235.9212.7250.4
3076.798.3101.2129.5125.9161.1153.4196.1179.8229.7207.7246.7
4075.396.999.9128.5124.7160.3152.9196.3179.8230.8209.0250.5
5076.398.6101.8131.5127.3164.4157.1202.7185.4239.1217.1262.7
6079.7103.5107.1139.0134.3174.2166.8216.2197.7256.1233.2285.1
7086.2112.6116.7152.3146.7191.4183.7239.6218.7285.0260.4322.5
8097.0127.6132.5174.2167.3219.8211.6278.0253.5332.8305.2384.6
9097.7128.6135.1177.8171.4225.6219.9289.4265.5349.6325.2420.4
100099.6125.5128.5161.8158.5199.6188.8237.7218.5275.1246.8284.5
1086.9110.1113.1143.3140177.4168.3213.2195.8248.0223.2260.4
2079.1100.8103.8132.2128.9164.1156.2198.8182.4232.1209.6247
3074.795.798.7126.3122.9157.2149.9191.6175.8224.6203.3241.9
4072.993.896.9124.5120.9155.3148.4190.5174.7224.1203.4244.3
5073.394.798.0126.5122.7158.2151.6195.3179.0230.6209.9254.5
6076.198.7102.4132.7128.4166.4159.8206.9189.5245.2223.9274.3
7081.7106.5110.6144.2139.2181.3174.6227.2208.0270.5247.9307.7
8081.5106.4112.7147.1142.9186.7183.4239.5221.5289.2271.2350.7
9080.3104.8110.9144.9140.8183.8180.6235.8218.1284.8267.1345.4
"} {"image_path": "images/4bb1413df8b8d338708839e23d4f03c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
E (eV)$\\sigma~\\left(10^{-18}~\\mathrm{cm}^{2}\\right)$E (eV)$\\sigma\\left(10^{-18}~\\mathrm{cm}^{2}\\right)$
A$r^{+a}$A$r^{2+}$A$r^{3+}$A$r^{4+}$A$r^{5+}$A$r^{+a}$A$r^{2+}$A$r^{3+}$A$r^{4+}$A$r^{5+}$
1829.326018810.90.410.0080.0002
2058.427018410.70.410.0090.0002
2283.328018010.40.380.0110.0003
2411029017610.10.400.0130.0003
261340.013001729.780.420.0140.0003
281550.043101689.510.400.0160.0004
301750.033201659.280.420.0190.0005
321910.073301628.970.440.0210.0005
342060.103401598.810.450.0240.0007
362180.153501568.550.490.0280.0009
382280.163601538.330.480.0310.0012
402360.243701518.130.500.0330.0013
422420.323801487.920.500.0360.0016
442470.513901467.720.510.0390.0018
462500.784001447.600.500.0430.0019
482521.174101427.400.530.0460.0022
502531.424201407.290.530.0480.0026
522542.934301387.120.540.0500.0028
562534.324401367.000.540.0540.0030
602535.674501356.920.520.0550.0032
642526.944601336.720.540.0600.0033
682538.234701326.700.550.0620.0033
722549.684801306.530.560.0640.0036
7625511.04901286.450.540.0660.0038
8025712.35001276.340.550.0680.0038
8425713.45101256.230.540.0690.0044
8825614.15201246.130.540.0700.0051
9225514.70.015301226.030.540.0760.0048
9625415.40.025401215.960.550.0760.0052
10025315.80.045501205.860.550.0780.0054
11025216.10.095601185.720.560.0790.0055
12024916.30.175701175.650.560.0760.0066
13024516.20.245801165.600.550.0800.0054
14024216.10.325901155.510.540.0820.0058
15023815.70.376001135.440.550.0840.0064
16023415.30.416101125.380.560.0830.0059
17022914.90.440.0016201115.320.560.0840.0060
18022514.40.460.0016301105.220.560.0850.0064
19022013.90.440.0026401095.180.550.0870.0066
20021513.50.450.0026501085.100.550.0880.0071
21021113.00.440.0036601075.060.550.0890.0075
24019711.70.430.005
"} {"image_path": "images/e0f3420ea62f4041c76425c3a014605e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
${h}_o$h50100200300400500600700800900100015002000
50 250200155120957560504035302015
445485520545560575585595600605610625630
100 20517013510585655545353025151O
475500530555570585590600605610615625630
20017014511590705545353025201O5
495515540565580590595600605610615625630
300 1401209575604535302520151O5
510530550570585595600605610615620625630
300 1201058565453530252520151O5
520540565580590600605610610615620625630
5001059070553530252020151O1O5
530550570585595605605610615620625630630
600 908060453025252020151O55
540560575585595605610615620625625630630
700 807055403025202015151O55
550565580590600605610615620625630630635
800756550352520201515151O55
555570585595605610615620620625630630635
900706045302520151515151O55
560575585595605610615620625625630630635
100065554030201515151O1O1O5..
565575590600605615620620625630630630635
150055453020151O1O1O555....
575585600610615620620625625630630635640
2000504025151O1O1O1O555....
580590605610615620620625625630635635640
"} {"image_path": "images/a5b75163f3376fb84c9f0be8f03d1ec2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
illerGelenCikan BirSonrakiYilaDevredenillerGelenCikan BirSonrakiYilaDevreden
GegenYildanDevrenGelen YilicindeAcilanSonuclan-dirilanislemdenKaldirilanGegenYildanDevrenGelen YilicindeAcilanSonuclan-dirilanislemdenKaldirilan
Adana28 92318 192779010 95128 374K.Maraş6 1066 2822 7792 3547 255
Adiyaman2 9244 0462 3819913 598Karabük1 9181 2105375662 025
Afyonkarahisar81134 3481 6642 4368 361Karaman1 5688992814801706
Agri9581 0835363621 143Kars1 3998171695951452
Aksaray2 5111 6535051 1192 540Kastamonu2 9811 8768381 0033 016
Amasya2 9102 41711561 2912 880Kayseri11 2948 9912 9444 8538 991
Ankara84 81578 59936 76631 41195 237Kirikkale4 2153 1098891 4884 947
Antalya37 20122 1516 57611 51441262Kirklareli3 6502 1137211 4633 579
Ardahan51544623491636Kirsehir1 5591 3374117911694
Artvin1 7511 2678555011 662Kilis1 039566383368566
Aydin10 9468 6043 0173 51413 019Kocaeli15 98512 1584 3515 01412 158
Balikesir1124866982 3053 80611835Konya19 27913 6984 6916 48213698
Bartin10836452273321169Kutahya5 41930508751 9215673
Batman1 2601 3285814611 546Malatya6 4783 9531 2662 4366729
Bayburt24216992114205Manisa101377 40423813 7737 404
Bilecik183011183996491900Mardin1 75817218887281721
Bingol675612367210710Mersin18 40511 6973 9196 06020 123
Bitlis10567864133101 119Mugla113039 1133 6103 5419 113
Bolu2 6572 3265871 2983 098Mus533513214162513
Burdur2 3071 5286327242 479Nevsehir3 7881 98858813613 827
Bursa30 79024 8798 2621321034 197Nigde1 8491 2883576132 167
Canakkale4 78228608291 8284 985Ordu4 3603 3381 2371 4714 990
Cankiri1 5987302891671 872Osmaniye2 7712 32567411543 268
Corum5 3543 59918101 6785 465Rize1 3312 5691 5594191 922
Denizli133548 6333 2604 56214 165Sakarya6 8394 0691 2522 5137 143
Diyarbakir9 13257232 9902 6339 232Samsun13 067117255 9244 96411725
Düzce3 928251210151 3894036Siirt838717268404717
Edirne6 3324 29314612 7336 431Sinop2 1152 2064534302 206
Elazig37462 6981 0981 2254 121Sivas5 2343 5501 4152 4752 475
Erzincan14421 3832838101 732Sanliurfa5 76341292 1051 8095 978
Erzurum5 4673 0159782 2265 278Sirnak340345263113345
Eskisehir12 54771892 8043 73313 199Tekirdag9 0255 77016923 3069 797
Gaziantep16 1389 5133 4295 24916 973Tokat5 7433 1621 2132 2963 162
Giresun3 3852 42311141 2903 404Trabzon5 4484 1631 9872 2125 412
Gümüşhane850548161564673Tunceli72963733467637
Hakkari6081 1601 19173504Usak43843 2278461 5505215
Hatay87884 9532 2643 3198 158Van3 6822 4802 3921 2662 504
I'dIr14029871894541 746Yalova1 6269862866191707
Isparta3 4572 1878698923 883Yozgat3 1693 0351 3991 2793 526
istanbul181 834137 49644 50657 226217 598Zonguldak7 8834 8832 1122 4848 170
izmir66668642 31213 93824 00571 055Toplam800 555584 208220 326278 234886 203
"} {"image_path": "images/3c34108c0c0254a54c7c08f1ddcf8b0d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
7141tgttaatggcatgaagagatcttctatgtctatgcaaat ggaggccgtggcttctgcaa
7201gactcacaattggaattgtctcaattgtgacacattttgcactggtagtacattcattag
7261tgatgaagttgctcgtgatttgtcatccagtttaaaagaccaatcaaccctactgacca
7321gtcatcgtatattgttgatagtgttgctgtgaaaaatggcgcgcttcacctctactttga
7381caaggctggtcaaaagacctatgagagacatccgctctcccattttgtcaatttagacaa
7441tttggagagctaacaacactaaaggttcactgcctattaatgtcatagtttttgatggcaa
7501gtccaaatgcgacgagtctgcttctaagtctgcttctgtgtactacagtcagctgatgtg
7561ccaacctattctgttgcttgaccaagctcttgtatcagacgttggagatagtactgaagt
7621ttccgttaagatgtttgatgcttatgtcgacaccttttcagcaacttttagtgttcctat
7681ggaaaaacttaaggcacttgttgctacagctcacagcgagttagcaaagggtgtagcttt
7741agatggtgtcctttctacattcgtgtcagctgcccgacaaggtgttgttgataccgatgt
7801tgacacaaaggatgttattgaatgtctcaaactttcacatcactctgacttagaagtgac
7861aggtgacagttgtaacaatttcatgctcacctataataaggttgaaaacatgacgcccag
7921agatcttggcgcatgtattgactgtaatgcaaggcatatcaatgcccaagtagcaaaaag
7981tcacaatgtttcactcatctggaatgtaaaagactacatgtctttatctgaacagctgcg
8041taaacaaattcgtagtgctgccaagaagaacaacataccttttagactaacttgtgctac
8101aactagacaggttgtcaatgtcataactactaaaatctcactcaagggtggtaagattgt
8161tagtacttgttttaaacttatgcttaaggccacattattgtgcgttcttgctgcattggt
8221ttgttatatcgttatgccattacatacattgtcaatccatgatggttacacaaatgaaat
8281cattggttacaaagccattcaggatggtgtcactcgtgacatcatttctactgatgattg
8341ttttgcaaataaacatgctggttttgacgcatggtttagccagcgtggtggttcatacaa
8401aaatgacaaaagctgccctgtagtagctgctatcattacaagagagattggtttcatagt
8461gcctggcttaccgggtactgtgctgagagcaatcaatggtgacttcttgcattttctacc
8521tcgtgtttttagtgctgttggcaacatttgctacacaccttccaaactcattgagtatag
8581tgattttgctacctctgcttgcgttcttgctgctgagtgtacaatttttaaggatgctat
8641gggcaaacctgtgccatattgttatgacactaatttgctagagggttctatttcttatag
8701tgagcttcgtccagacactcgttatgtgcttatggatggttccatcatacagtttcctaa
8761cacttacctggagggttctgttagagtagtaacaacttttgatgctgagtactgtagaca
8821tggtacatgcgaaaggtcagaagtaggtatttgcctatctaccagtggtagatgggttct
8881taataatgagcattacagagctctatcaggagttttctgtggtgttgatgcgatgaatct
8941catagctaacatctttactcctcttgtgcaacctgtgggtgctttagatgtgtctgcttc
9001agtagtggctggtggtattattgccatattggtgcattgtgctgcctactactttatgaa
9061attcagacgtgcttttggtgagtacaaccatgttgttgctgctaatgcacttttgttttt
9121gatgtctttcactatactctgtctggtaccagcttacagctttctgccgggagtctactc
9181agtcttttacttgtacttgacattctatttcaccaatgatgtttcattcttggctcacct
9241tcaatggtttgccatgttttctcctattgtgcctttttggataacagcaatctatgtatt
9301ctgtatttctctgaagcactgccattggttctttaacaactatcttaggaaaagagtcat
9361gtttaatggagttacatttagtaccttcgaggaggctgctttgtgtacctttttgctcaa
9421caaggaaatgtacctaaaattgcgtagcgagacactgttgccacttacacagtataacag
9481gtatcttgctctatataacaagtacaagtatttcagtggagtcttagatactaccagcta
9541tcgtgaagcagcttgctgccacttagcaaaggctctaaatgactttagcaactcaggtgc
9601tgatgttctctaccaaccacacagacatcaatcacttctgctgttctgcagagtggttt
9661taggaaaatggcattcccgtcagcaaagttgaagggtgcatggtacaagtaacctgtgg
9721aactacaactcttaatggattgtggttggatgacacagtatactgtccaagacatgtcat
9781ttgcacagcagaagacatgcttaatcctaactatgaagatctgctcattcgcaaatccaa
9841ccatagctttcttgttcaggctggcaatgttcaacttcgtgttattggccattctatgca
9901aaattgtctgcttaggcttaaagttgatacttctaaccctaagacacccaagtataaatt
9961tgtccgtatccaacctggtcaaacattttcagttctagcatgctacaatggttcaccatc
10021tggtgtttatcagtgtgccatgagacctaatcataccattaaaggttctttccttaatgg
10081atcatgtggtagtgttggttttaacattgattatgattacgtgtctttctgctatatgca
10141tcatatggagcttccaacaggagtacacgctggtactgacttagaaggtaaattctatgg
10201tccatttgttgacagaccaactgcacaggctgcaggtacagacacaaccataacattaaa
10261tgttttggcatggctgtatgctgctgttatcaatggtgataggtggtttcttaatagatt
10321caccactactttgaatgactttaaccttgtggcaatgaagtacaactatgaacctttgac
10381acaagatcatgttgacatattgggacctctttctgctcaaacaggaattgccgtcttaga
10441tatgtgtgctgctttgaaagagctgctgcagaatggtatgaatggtcgtactatccttgg
10501tagcactattttagaagatgagtttacaccatttgatgttgttagacaatgctctggtgt
10561taccttccaaggtaagttcaagaaaattgttaagggcactcatcattggatgcttttaac
"} {"image_path": "images/190e6010a6283b08ad420f07e9e5a63d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n
20℃密度
温度1000.01002.01004.01006.01008.01010.01012.01014.01016.01018.01020.0温 度
$^\\circ\\text{C}$20℃体积修正系数 $^\\circ\\text{C}$
-6.751.01671.01671.01671.01661.01661.01661.01651.01651.01651.01641.0164-6.75
-6.501.01661.01661.01651.01651.01651.01641.01641.01641.01631.01631.0163-6.50
-6.251.01641.01641.01641.01631.01631.01631.01621.01621.01621.01611.0161-6.25
-6.001.01631.01621.01621.01621.01611.01611.01611.01601.01601.01601.0160-6.00
-5.751.01611.01611.01611.01601.01601.01601.01591.01591.01591.01581.0158-5.75
-5.501.01601.01591.01591.01591.01581.01581.01581.01571.01571.01571.0156-5.50
-5.251.01581.01581.01571.01571.01571.01561.01561.01561.01561.01551.0155-5.25
-5.001.01561.01561.01561.01561.01551.01551.01551.01541.01541.01541.0153-5.00
-4.751.01551.01551.01541.01541.01541.01531.01531.01531.01531.01521.0152-4.75
-4.501.01531.01531.01531.01521.01521.01521.01521.01511.01511.01511.0150-4.50
-4.251.01521.01521.01511.01511.01511.01501.01501.01501.01491.01491.0149-4.25
-4.001.01501.01501.01501.01491.01491.01491.01481.01481.01481.01481.0147-4.00
-3.751.01491.01481.01481.01481.01481.01471.01471.01471.01461.01461.0146-3.75
-3.501.01471.01471.01471.01461.01461.01461.01451.01451.01451.01451.0144-3.50
-3.251.01461.01451.01451.01451.01441.01441.01441.01441.01431.01431.0143-3.25
-3.001.01441.01441.01431.01431.01431.01431.01421.01421.01421.01411.0141-3.00
-2.751.01421.01421.01421.01421.01411.01411.01411.01411.01401.01401.0140-2.75
-2.501.01411.01411.01401.01401.01401.01401.01391.01391.01391.01381.0138-2.50
-2.251.01391.01391.01391.01391.01381.01381.01381.01371.01371.01371.0137-2.25
-2.001.01381.01381.01371.01371.01371.01361.01361.01361.01361.01351.0135-2.00
-1.751.01361.01361.01361.01351.01351.01351.01351.01341.01341.01341.0134-1.75
-1.501.01351.01341.01341.01341.01341.01331.01331.01331.01331.01321.0132-1.50
-1.251.01331.01331.01331.01321.01321.01321.01321.01311.01311.01311.0131-1.25
-1.001.01321.01311.01311.01311.01311.01301.01301.01301.01291.01291.0129-1.00
-0.751.01301.01301.01291.01291.01291.01291.01281.01281.01281.01281.0127-0.75
-0.501.01281.01281.01281.01281.01271.01271.01271.01271.01261.01261.0126-0.50
-0.251.01271.01271.01261.01261.01261.01261.01251.01251.01251.01251.0124-0.25
0.001.01251.01251.01251.01251.01241.01241.01241.01241.01231.01231.01230.00
0.251.01241.01241.01231.01231.01231.01231.01221.01221.01221.01221.01210.25
0.501.01221.01221.01221.01211.01211.01211.01211.01211.01201.01201.01200.50
0.751.01211.01201.01201.01201.01201.01191.01191.01191.01191.01191.01180.75
1.001.01191.01191.01191.01181.01181.01181.01181.01171.01171.01171.01171.00
1.251.01181.01171.01171.01171.01171.01161.01161.01161.01161.01151.01151.25
1.501.01161.01161.01151.01151.01151.01151.01151.01141.01141.01141.01141.50
1.751.01141.01141.01141.01141.01131.01131.01131.01131.01131.01121.01121.75
2.001.01131.01131.01121.01121.01121.01121.01111.01111.01111.01111.01112.00
2.251.01111.01111.01111.01111.01101.01101.01101.01101.01101.01091.01092.25
2.501.01101.01091.01091.01091.01091.01091.01081.01081.01081.01081.01082.50
2.751.01081.01081.01081.01081.01071.01071.01071.01071.01061.01061.01062.75
3.001.01071.01061.01061.01061.01061.01061.01051.01051.01051.01051.01043.00
3.251.01051.01051.01051.01041.01041.01041.01041.01041.01031.01031.01033.25
3.501.01031.01031.01031.01031.01031.01021.01021.01021.01021.01021.01013.50
3.751.01021.01021.01011.01011.01011.01011.01011.01001.01001.01001.01003.75
4.001.01001.01001.01001.01001.01001.00991.00991.00991.00991.00991.00984.00
4.251.00991.00991.00981.00981.00981.00981.00981.00971.00971.00971.00974.25
4.501.00971.00971.00971.00971.00961.00961.00961.00961.00961.00951.00954.50
"} {"image_path": "images/50c82a366446000ddbaa4efbbb0e08a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
金属和配位体浓度μ pH
01234567891011121314
EDTA0.010.11.73.55.77.79.510.912.013.013.814.214.314.314.3
Tetren0.10.11.34.67.610.412.713.714.114.114.114.1
NTA0.10.50.82.43.54.55.67.19.010.812.212.412.412.412.4
0.010.10.31.72.83.84.85.97.28.810.210.610.610.610.8
Den0.10.10.22.15.79.311.512.112.112.112.1
吡啶羧酸0.10.10.62.04.37.29.610.811.111.111.111.111.111.111.111.1
EGTA0.010.10.31.93.95.97.99.510.210.310.310.310.6
Trien0.10.10.32.14.56.78.59.710.010.010.010.4
Cit0.10.50.51.52.53.13.43.84.55.56.77.58.510.3
SSal0.10.10.10.51.52.84.66.47.67.910.2
Acac0.10.10.41.63.35.16.56.96.96.97.410.2
NH₃10.10.21.23.75.35.75.87.210.2
0.10.10.21.01.82.94.97.210.2
$\\mathrm{C}_{2} \\mathrm{O}_{4}{ }^{2-}$ 0.10.50.10.51.02.03.23.83.83.83.83.83.83.84.37.210.2
Tart0.10.50.20.81.11.11.11.11.11.12.24.27.210.2
Cu
OH⁻0.10.20.81.72.73.74.75.7
Tetren0.10.12.86.39.412.014.817.620.322.323.323.323.323.323.3
EDTA0.10.51.94.66.88.710.712.513.915.016.016.817.318.018.919.9
0.010.11.54.26.38.210.212.013.414.515.516.316.817.518.419.4
DCTA0.010.11.54.46.99.211.313.114.415.516.717.518.419.119.319.3
Trien0.10.10.12.65.48.411.313.916.117.919.119.419.419.419.4
Den0.10.10.53.25.77.89.812.916.518.719.319.319.319.3
DTPA0.010.12.85.77.89.511.213.215.116.717.818.418.518.518.5
邻菲罗啉0.010.12.13.55.98.811.813.914.814.814.814.814.814.814.814.814.8
Tren0.10.11.14.17.110.113.015.617.117.717.817.817.8
TEA0.10.10.10.71.93.76.08.110.112.315.017.920.9
EGTA0.010.10.11.83.75.16.58.510.512.514.114.915.015.015.015.0
SSal0.10.10.21.02.03.45.37.39.311.313.114.314.514.5
Cit0.10.50.20.82.95.16.78.09.010.011.012.013.014.015.0
"} {"image_path": "images/763ae177e009c9e23a964a7d1224eab1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
k\\m3456789101520
2$\\lambda_{1}$$0\\cdot 0394$$0\\cdot 0696$$0\\cdot 0885$$0\\cdot 1013$$0\\cdot 1105$$0\\cdot 1175$$0\\cdot 1229$$0\\cdot 1273$$0\\cdot 1406$$0\\cdot 1472$
$\\lambda_{2}$$0\\cdot 9368$$0\\cdot 9525$$0\\cdot 9590$$0\\cdot 9625$$0\\cdot 9646$$0\\cdot 9661$$0\\cdot 9671$$0\\cdot 9679$$0\\cdot 9701$$0\\cdot 9711$
4$\\lambda_{1}$$0\\cdot 0044$$0\\cdot 0133$$0\\cdot 0209$$0\\cdot 0269$$0\\cdot 0316$$0\\cdot 0353$$0\\cdot 0383$$0\\cdot 0408$$0\\cdot 0485$$0\\cdot 0526$
$\\lambda_{2}$$0\\cdot 0824$$0\\cdot 1339$$0\\cdot 1633$$0\\cdot 1825$$0\\cdot 1959$$0\\cdot 2059$$0\\cdot 2137$$0\\cdot 2198$$0\\cdot 2382$$0\\cdot 2473$
$\\lambda_{3}$$0\\cdot 8726$$0\\cdot 9063$$0\\cdot 9195$$0\\cdot 9264$$0\\cdot 9306$$0\\cdot 9335$$0\\cdot 9356$$0\\cdot 9371$$0\\cdot 9413$$0\\cdot 9432$
$\\lambda_{4}$$0\\cdot 9783$$0\\cdot 9846$$0\\cdot 9870$$0\\cdot 9883$$0\\cdot 9890$$0\\cdot 9896$$0\\cdot 9899$$0\\cdot 9902$$0\\cdot 9910$$0\\cdot 9913$
6$\\lambda_{1}$$0\\cdot 0002$$0\\cdot 0011$$0\\cdot 0024$$0\\cdot 0037$$0\\cdot 0048$$0\\cdot 0058$$0\\cdot 0067$$0\\cdot 0074$$0\\cdot 0099$$0\\cdot 0113$
$\\lambda_{2}$$0\\cdot 0035$$0\\cdot 0127$$0\\cdot 0212$$0\\cdot 0281$$0\\cdot 0335$$0\\cdot 0378$$0\\cdot 0413$$0\\cdot 0442$$0\\cdot 0534$$0\\cdot 0582$
$\\lambda_{3}$$0\\cdot 0284$$0\\cdot 0630$$0\\cdot 0861$$0\\cdot 1020$$0\\cdot 1135$$0\\cdot 1223$$0\\cdot 1291$$0\\cdot 1347$$0\\cdot 1513$$0\\cdot 1597$
$\\lambda_{4}$$0\\cdot 1402$$0\\cdot 2062$$0\\cdot 2405$$0\\cdot 2620$$0\\cdot 2768$$0\\cdot 2878$$0\\cdot 2962$$0\\cdot 3029$$0\\cdot 3227$$0\\cdot 3326$
$\\lambda_{5}$$0\\cdot 8554$$0\\cdot 8932$$0\\cdot 9082$$0\\cdot 9161$$0\\cdot 9209$$0\\cdot 9242$$0\\cdot 9266$$0\\cdot 9284$$0\\cdot 9333$$0\\cdot 9355$
$\\lambda_{6}$$0\\cdot 9752$$0\\cdot 9824$$0\\cdot 9852$$0\\cdot 9867$$0\\cdot 9876$$0\\cdot 9882$$0\\cdot 9886$$0\\cdot 9889$$0\\cdot 9898$$0\\cdot 9902$
2$a_{1}$$1\\cdot 3230$$1\\cdot 6455$$1\\cdot 9709$$2\\cdot 2988$$2\\cdot 6286$$2\\cdot 9595$$3\\cdot 2913$$3\\cdot 6238$$5\\cdot 2905$$6\\cdot 9591$
$a_{2}$$-0\\cdot 3230$$-0\\cdot 6455$$-0\\cdot 9709$$-1\\cdot 2988$$-1\\cdot 6286$$-1\\cdot 9595$$-2\\cdot 2913$$-2\\cdot 6238$$-4\\cdot 2905$$-5\\cdot 9591$
4$a_{1}$$0\\cdot 4282$$0\\cdot 5062$$0\\cdot 5971$$0\\cdot 6936$$0\\cdot 7923$$0\\cdot 8918$$0\\cdot 9924$$1\\cdot 0936$$1\\cdot 6006$$2\\cdot 1114$
$a_{2}$$0\\cdot 8982$$0\\cdot 1169$$1\\cdot 4251$$1\\cdot 6767$$1\\cdot 9266$$2\\cdot 1762$$2\\cdot 4255$$2\\cdot 6743$$3\\cdot 9205$$5\\cdot 1649$
$a_{3}$$-0\\cdot 1505$$-0\\cdot 3868$$-0\\cdot 6194$$-0\\cdot 8519$$-1\\cdot 0818$$-1\\cdot 3150$$-1\\cdot 5442$$-1\\cdot 7757$$-2\\cdot 9334$$-4\\cdot 0855$
$a_{4}$$-0\\cdot 1759$$-0\\cdot 2884$$-0\\cdot 4029$$-0\\cdot 5184$$-0\\cdot 6372$$-0\\cdot 7530$$-0\\cdot 8736$$-0\\cdot 9921$$-1\\cdot 5876$$-2\\cdot 1908$
6$a_{1}$$0\\cdot 1230$$0\\cdot 1261$$0\\cdot 1429$$0\\cdot 1629$$0\\cdot 1829$$0\\cdot 2044$$0\\cdot 2268$$0\\cdot 2482$$0\\cdot 3599$$0\\cdot 4720$
$a_{2}$$0\\cdot 2354$$0\\cdot 2925$$0\\cdot 3504$$0\\cdot 4106$$0\\cdot 4725$$0\\cdot 5341$$0\\cdot 5954$$0\\cdot 6586$$0\\cdot 9728$$1\\cdot 2881$
$a_{3}$$0\\cdot 3866$$0\\cdot 5032$$0\\cdot 6167$$0\\cdot 7290$$0\\cdot 8416$$0\\cdot 9550$$1\\cdot 0680$$1\\cdot 1817$$1\\cdot 7486$$2\\cdot 3179$
$a_{4}$$0\\cdot 5998$$0\\cdot 7824$$0\\cdot 9496$$1\\cdot 1125$$1\\cdot 2738$$1\\cdot 4335$$1\\cdot 5932$$1\\cdot 7517$$2\\cdot 5448$$3\\cdot 3358$
$a_{5}$$-0\\cdot 1742$$-0\\cdot 4137$$-0\\cdot 6495$$-0\\cdot 8848$$-1\\cdot 1193$$-1\\cdot 3535$$-1\\cdot 5866$$-1\\cdot 8197$$-2\\cdot 9890$$-4\\cdot 1581$
$a_{6}$$-0\\cdot 1707$$-0\\cdot 2906$$-0\\cdot 4101$$-0\\cdot 5302$$-0\\cdot 6515$$-0\\cdot 7735$$-0\\cdot 8968$$-1\\cdot 0206$$-1\\cdot 6370$$-2\\cdot 2557$
2$b_{1}$$-0\\cdot 9430$$-1\\cdot 2454$$-1\\cdot 5624$$-1\\cdot 8856$$-2\\cdot 2125$$-2\\cdot 5412$$-2\\cdot 8715$$-3\\cdot 2027$$-4\\cdot 8657$$-6\\cdot 5325$
$b_{2}$$0\\cdot 9430$$1\\cdot 2454$$1\\cdot 5624$$1\\cdot 8856$$2\\cdot 2125$$2\\cdot 5412$$2\\cdot 8715$$3\\cdot 2027$$4\\cdot 8657$$6\\cdot 5325$
4$b_{1}$$-0\\cdot 3693$$-0\\cdot 4528$$-0\\cdot 5451$$-0\\cdot 6419$$-0\\cdot 7405$$-0\\cdot 8400$$-0\\cdot 9403$$-1\\cdot 0413$$-1\\cdot 5477$$-2\\cdot 0580$
$b_{2}$$-0\\cdot 6034$$-0\\cdot 8285$$-1\\cdot 0650$$-1\\cdot 3057$$-1\\cdot 5488$$-1\\cdot 7935$$-2\\cdot 0392$$-2\\cdot 2854$$-3\\cdot 5237$$-4\\cdot 7645$
$b_{3}$$0\\cdot 6674$$0\\cdot 8850$$1\\cdot 1084$$1\\cdot 3357$$1\\cdot 5617$$1\\cdot 7927$$2\\cdot 0195$$2\\cdot 2497$$3\\cdot 4031$$4\\cdot 5528$
$b_{4}$$0\\cdot 3052$$0\\cdot 3963$$0\\cdot 5017$$0\\cdot 6119$$0\\cdot 7277$$0\\cdot 8408$$0\\cdot 9600$$1\\cdot 0770$$1\\cdot 6683$$2\\cdot 2697$
6$b_{1}$$-0\\cdot 1101$$-0\\cdot 1162$$-0\\cdot 1337$$-0\\cdot 1540$$-0\\cdot 1741$$-0\\cdot 1957$$-0\\cdot 2182$$-0\\cdot 2396$$-0\\cdot 3512$$-0\\cdot 4634$
$b_{2}$$-0\\cdot 2104$$-0\\cdot 2680$$-0\\cdot 3255$$0\\cdot 3851$$-0\\cdot 4464$$-0\\cdot 5076$$-0\\cdot 5685$$-0\\cdot 6314$$-0\\cdot 9444$$-1\\cdot 2592$
$b_{3}$$-0\\cdot 3378$$-0\\cdot 4468$$-0\\cdot 5556$$-0\\cdot 6649$$-0\\cdot 7753$$-0\\cdot 8871$$-0\\cdot 9988$$-1\\cdot 1114$$-1\\cdot 6751$$-2\\cdot 2428$
$b_{4}$$-0\\cdot 3191$$-0\\cdot 4554$$-0\\cdot 6044$$-0\\cdot 7577$$-0\\cdot 9131$$-1\\cdot 0688$$-1\\cdot 2254$$-1\\cdot 3817$$-2\\cdot 1685$$-2\\cdot 9565$
$b_{6}$$0\\cdot 6640$$0\\cdot 8782$$1\\cdot 1023$$1\\cdot 3308$$1\\cdot 5607$$1\\cdot 7916$$2\\cdot 0221$$2\\cdot 2530$$3\\cdot 4164$$4\\cdot 5826$
$b_{6}$$0\\cdot 3134$$0\\cdot 4081$$0\\cdot 5169$$0\\cdot 6309$$0\\cdot 7483$$0\\cdot 8675$$0\\cdot 9889$$1\\cdot 1111$$1\\cdot 7229$$2\\cdot 3394$
"} {"image_path": "images/c8a75a4817d8d8dc596e02d56ab84020.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工 作
端温度
$~\\left({ }^{\\circ} \\mathrm{C}\\right)$
0123456789
热 电 势 (毫 伏)
75031.2231.2631.3031.3531.3931.4331.4731.5131.5631.60
76031.6431.6831.7231.7731.8131.8531.8931.9331.9832.02
77032.0632.1032.1432.1832.2232.2632.3032.3432.3832.42
78032.4632.5032.5432.5932.6332.6732.7132.7532.8032.84
79032.8732.9132.9533.0033.0433.0933.1333.1733.2133.25
80033.2933.3333.3733.4133.4533.4933.5333.5733.6133.65
81033.6933.7333.7733.8133.8533.9033.9433.9834.0234.06
82034.1034.1434.1834.2234.2634.3034.3434.3834.4234.46
83034.5134.5434.5834.6234.6634.7134.7534.7934.8334.87
84034.9134.9534.9935.0335.0735.1135.1635.2035.2435.28
85035.3235.3635.4035.4435.4835.5235.5635.6035.6435.68
86035.7235.7635.8035.8435.8835.9335.9736.0136.0536.09
87036.1336.1736.2136.2536.2936.3336.3736.4136.4536.49
88036.5336.5736.6136.6536.6936.7336.7736.8136.8536.89
89036.9336.9737.0137.0537.0937.1337.1737.2137.2537.29
90037.3337.3737.4137.4537.4937.5337.5737.6137.6537.69
91037.7337.7737.8137.8537.8937.9337.9738.0138.0538.09
92038.1338.1738.2138.2538.2938.3338.3738.4138.4538.49
93038.5338.5738.6138.6538.6938.7338.7738.8138.8538.89
94038.9338.9739.0139.0539.0939.1339.1639.2039.2439.28
95039.3239.3639.4039.4439.4839.5239.5639.6039.6439.68
96039.7239.7639.3039.8339.8739.9139.9439.9840.0240.06
97040.1040.1440.1840.2240.2640.3040.3340.3740.4140.45
98040.4940.5340.5740.6140.6540.6940.7240.7640.8040.84
99040.8840.9240.9641.0041.0441.0841.1141.1541.1941.23
100041.2741.3141.3541.3941.4341.4741.5041.5441.5841.62
101041.6641.7041.7441.7741.8141.8541.8941.9341.9642.00
102042.0442.0842.1242.1642.2042.2442.2742.3142.3542.39
103042.4342.4742.5142.5542.5942.6342.6642.7042.7442.78
104042.8342.8742.9042.9342.9743.0143.0543.0943.1343.17
105043.2143.2543.2943.3243.3543.3943.4343.4743.5143.55
106043.5943.6343.6743.6943.7343.7743.8143.8543.8943.93
107043.9744.0144.0544.0844.1144.1544.1944.2244.2644.30
180044.3444.3844.4244.4544.4944.5344.5744.6144.6444.68
109044.7244.7644.8044.8344.8744.9144.9544.9945.0245.06
110045.1045.1445.1845.2145.2545.2945.3345.3745.4045.44
111045.4845.5245.5545.5945.6345.6745.7045.7445.7845.81
112045.8545.8945.9345.9646.0046.0446.0846.1246.1546.19
113046.2346.2746.3046.3446.3846.4246.4546.4946.5346.56
114046.6046.6446.6746.7146.7546.7946.8246.8646.9046.93
115046.9747.0147.0447.0847.1247.1647.1947.2347.2747.30
116047.3447.3847.4147.4547.4947.5347.5647.6047.6447.67
"} {"image_path": "images/ee6133c29c3a903a70faa2418d57e4a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目年度 编制人数 实有人数检察长副检察长检察委员会委员党组成员 检察员助检员书记员其他干部法警工勤人员中共党员团员汉族回族性别雇用人员
1960531112133
19615311121213
19623311121213
19633311121213
196432112112
196532112112
1978221112
1979991133153459
198011101131211625510
198113121131321525712
19821414114231118477131
19831717114261210689161
198420181162512105810171
1985221812524112105711171
1986221812534111105612171
19872219125553422103514172
19882321125554522911417183
19892321125554522911417183
1990232112558161285219183
1991232012557161285219183
1992232312557183106221194
19932323125571813106221194
19942321125575331106318174
"} {"image_path": "images/8f311b6e2e35983a52160bdd116b3871.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目编码项目名称单位数量标准金额(元)备注
0569901020公布印刷费150.0050.00
0569901010发明专利申请费0.15900.00135.00
0569901050发明专利申请实质审查费0.152,500.00375.00
金额合计(大写)伍佰陆拾元整 (小写)560.00
其他信息申请号:2023111960969 缴费日期:2023-09-18 缴费方式:网上支付 订单号:202309189021149639
"} {"image_path": "images/ab91257b0dc03ab6ea767f8433828cb3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测试项目(计量单位)
[样品标识]
测试方法
(参数说明)
技术要求
(备注)
测试结果判定
纤维含量(%)面料FZ/T 01057-2007、GB/T 2910-2009--锦纶 100--
胆布FZ/T 01057-2007、GB/T 2910-2009--聚酯纤维 100
里布FZ/T 01057-2007、GB/T 2910-2009--聚酯纤维 100
pH值面料GB/T 7573-2009
(萃取介质:氯化钾溶液)
4.0~9.06.7合格
甲醛含量(mg/kg)面料GB/T 2912.1-2009
(水萃取法,检出限:20mg/kg)
$ \\le 300 $未检出合格
备注:“未检出”指小于20 mg/kg。
异味GB 18401-2010 第 6.7 条款无异味合格
可分解致癌芳香胺染料(mg/kg)面料GB/T 17592-2011
(使用 GC/MSD 分析方法,检出限:5mg/kg)
禁用($ \\le 20 $)未检出合格
备注:1) 未检出,小于方法检出限
2) 禁用芳香胺物质清单见附页
耐水色牢度(级)面料GB/T 5713-2013变色$ \\ge 3-4 $
沾色$ \\ge 3 $
变色 4-5
沾色 3-4
合格
耐汗渍色牢度(级)面料GB/T 3922-2013酸性:变色(面料)$ \\ge 3 $
酸性:沾色(面料)$ \\ge 3 $
碱性:变色(面料)$ \\ge 3 $
碱性:沾色(面料)$ \\ge 3 $
(酸性)(碱性)
变色 4-5 4-5
沾色 3-4 3
合格
耐干摩擦色牢度(级)面料GB/T 3920-2008$ \\ge 3-4 $干摩擦 4-5合格
绒子含量(%)GB/T 10288-2016 第 5.1 章节$ \\ge 90.0[-5.0] $91.1合格
陆禽毛片含量(%)GB/T 10288-2016 第 5.1 章节$ \\le 1.0 $0.0合格
异色毛绒(%)GB/T 10288-2016 第 5.1 章节$ \\le 1.0 $0.0合格
蓬松度(cm)GB/T 14272-2021 附录 C$ \\ge 16.0 $16.4合格
充绒量(g)GB/T 14272-2021 附录 B与明示值[130]的偏差不小于-5.0%131合格
绒丝+羽丝含量(%)GB/T 10288-2016 第 5.1 章节$ \\le 10.0 $3.4合格
"} {"image_path": "images/5777e5062e6205da66524430f4c85785.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
轴承尺寸/mm配用件代号基本额定载荷/kN座尺寸/mm带座轴承代号 轴承代号座代号
$d_{1}$D$d_0$B$_2$ Bmin maxC轴承紧定套$C_1$$C_{or}$ Amax$A_1$$A_2$max Hmax$H_1$$H_2$max Lmax$L_1$max$L_2$min$L_3$maxNmin$N_1$min$N_2$minUKK + H型UK + H型K 型
3062253816 3019UK 206H 230615.011.25313.538107896611874966191536UKK 206 + H 2306UK 206 + H 2306K 206
72253823 3023UK 306H 230620.815.24116281009070137851474281841UKK 306 + H 2306$UK $306~+~\\mathrm{H}~ 2306$K 306
3572304317 3420UK 207H 230719.8H 23075313.538 38107 8966132811072191536UKK 207 + H 2307UK 207 + H 2307K 207
80304326 3425UK 307H 230725.819.245163211110075150941580302045UKK 307 + H 2307UK $307~+~\\mathrm{H} ~2307$K 307
4080354618 3621UK 208H 230822.818.26717.54412410185146911484271847 UKK 208 + H 2308UK 208 + H 2308K 208
90354626 3627UK 308H 230831.224.0501834124112831621001789322250 UKK 308 + H 2308UK $308+\\mathrm{H} 2308$K 308
4585405019 3922UK 209H 230924.520.86717.54412410185149911484271847 UKK 209 + H 2309UK 209 + H 2309K 209
100405028 3930UK 309H 230940.831.8551838138125901781101897342455UKK 309 + H 2309UK $309~+~\\mathrm{H} ~2309$K 309
5090455520 4324UK 210H 231027.023.26717.55012410185153921488271847 UKK 210 + H 2310UK $210~+~\\mathrm{H} ~2310$K 210
110455530 4332UK 310H 231047.5 47.537.86120401511409819111720106372761UKK 310 + H 2310UK $310+\\mathrm{H} 2310$K 310
55100505921 4725UK 211H 231133.529.272275615213010419112017104342462 UKK 211 + H 2311UK $211~+~\\mathrm{H} ~2311$K 211
120505933 4734UK 311H 231155.044.866224416315010520712721115392966UKK 311 + H 2311UK $311+\\mathrm{H} 2311$K 311
60110556222 4927UK 212H 231236.832.872275615213010419612017104342962UKK 212 + H 2312UK $212~+~\\mathrm{H} ~2312$K 212
130556234 4936UK 312H 231262.851.871224617816011322013523123413171UKK 312 + H 2312UK $312~+~\\mathrm{H} ~2312$K 312
65140606536 5138UK 313H 231372.260.580265019017011623814625134433270UKK 313 + H 2313UK $313~+~\\mathrm{H} ~2313$K 313
75160657340 5842UK 315H 231587.276.890265521619213226216025150463685UKK 315 + H 2315UK $315~+~\\mathrm{H} ~2315$K 315
80170707842 6144UK 316H 231694.586.5102306023020415028217428160534298UKK 316 + H 2316UK $316~+~\\mathrm{H} ~2316$K 316
85180758245 6446UK 317H 231710296.5102326424021415229818330170534298UKK 317 + H 2317UK $317~+~\\mathrm{H}~ 2317$K 317
90190808647 6848UK 318H 23181101081103266255228160312192301755746106UKK 318 + H 2318UK $318~+~\\mathrm{H} ~2318$K 318
95200859049 7150UK 319H 23191201221103572270240165322197311805746106UKK 319 + H 2319UK $319~+~\\mathrm{H} ~2319$K 319
100215909751 7754UK 320H23201321401203575290260175345210322005948115UKK 320 + H 2320UK 320 + H 2320K 320
11024010010556 8460UK 322H 23221581781303880320285185385235382156552125UKK 322 + H 2322UK 322 + H 2322K 322
120 26026011011260 9064UK 324H 23241752081404590355320210432267422307060140UKK 324 + H 232$UK 324 + H 2324K 324
13028011512165 9868UK 326H 232619524215050100385350220465285452407565150 UKK 326 + H 2326UK 326 + H 2326K 326
14030012513170 10772UK 328H 232821227215550100415380230515315502558070160UKK 328 + H 2328UK 328 + H 2328K 328
"} {"image_path": "images/5a2638b2b5154999573edad75367a1d7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "

123456789101112
干支干支干支干支干支干支干支干支干支干支干支干支
1廿八丙戌廿九丁巳廿七乙酉廿八丙辰廿九丙戌五月丁巳六月丁亥戊午己丑己未庚寅庚申
2廿九丁亥戊午廿八丙戊廿九丁巳丁亥戊午戊子己未庚寅庚申辛卯辛酉
3戊子正月己未廿九丁亥三月戊午四月戊子己未己丑庚申辛卯辛酉壬辰壬戌
4十二月己丑庚申戊子己未己丑庚申庚寅辛酉壬辰壬戌癸巳癸亥
5庚寅辛酉二月己丑庚申庚寅辛酉辛卯壬戌癸巳癸亥十一甲午十一甲子
6辛卯壬戌庚寅辛酉辛卯壬戌壬辰癸亥甲午甲子十二乙未 十二乙丑
7壬辰癸亥辛卯壬戌壬辰癸亥癸巳甲子乙未十一乙丑十三丙申十三丙寅
8癸巳甲子壬辰癸亥癸巳甲子甲午乙丑十一丙申十二丙寅十四丁酉十四丁卯
9甲午乙丑癸巳甲子甲午乙丑乙未十一丙寅十二丁酉十三丁卯十五戊戌十五戊辰
10乙未丙寅甲午乙丑乙未丙寅丙申十二丁卯十三戊戌十四戊辰十六己亥十六己巳
11丙申丁卯乙未丙寅丙申十一丁卯十一丁酉十三戊辰十四己亥十五己巳十七庚子十七庚午
12丁酉戊辰丙申丁卯丁酉十二戊辰 十二戊戌十四己巳十五庚子十六庚午十八辛丑十八辛未
13戊戌十一己巳丁酉十一戊辰十一戊戌十三己巳十三己亥十五庚午十六辛丑十七辛未十九壬寅十九壬申
14十一己亥十二庚午戊戌十二己巳十二己亥十四庚午十四庚子 十六辛未十七壬寅十八壬申廿癸卯廿癸酉
15十二庚子十三辛未十一己亥十三庚午十三庚子 十五辛未十五辛丑十七壬申十八癸卯十九癸酉廿一甲辰廿一甲戌
16十三辛丑十四壬申十二庚子十四辛未十四辛丑十六壬申十六壬寅十八癸酉十九甲辰廿甲戌廿二乙巳廿二乙亥
17十四壬寅十五癸酉十三辛丑十五壬申十五壬寅十七癸酉十七癸卯十九甲戌廿乙巳廿一乙亥廿三丙午廿三丙子
18十五癸卯十六甲戌十四壬寅十六癸酉十六癸卯十八甲戌十八甲辰 廿乙亥廿一丙午廿二丙子廿四丁未廿四丁丑
19十六甲辰 十七乙亥十五癸卯十七甲戌十七甲辰十九乙亥十九乙巳廿一丙子廿二丁未廿三丁丑廿五戊申廿五戊寅
20十七乙巳十八丙子十六甲辰十八乙亥十八乙巳廿丙子廿丙午廿二丁丑廿三戊申廿四戊寅廿六己酉廿六己卯
21十八丙午十九丁丑十七乙巳 十九丙子十九丙午廿一丁丑廿一丁未廿三戊寅廿四己西廿五己卯廿七庚戌廿七庚辰
22十九丁未廿戊寅十八丙午 廿丁丑廿丁未廿二戊寅廿二戊申廿四己卯廿五庚戌廿六庚辰廿八辛亥廿八辛巳
23廿戊申廿一己卯十九丁未廿一戊寅廿一戊申廿三己卯廿三己酉廿五庚辰廿六辛亥廿七辛巳廿九壬子廿九壬午
24廿一己酉廿二庚辰廿戊申廿二己卯廿二己酉廿四庚辰廿四庚戌廿六辛巳廿七壬子廿八壬午癸丑十二月癸未
25廿二庚戌廿三辛巳廿一己酉廿三庚辰廿三庚戌廿五辛巳廿五辛亥廿七壬午廿八癸丑廿九癸未十一月甲寅甲申
26廿三辛亥廿四壬午廿二庚戌廿四辛巳廿四辛亥廿六壬午廿六壬子廿八癸未廿九甲寅十月甲申乙卯乙酉
27廿四壬子廿五癸未廿三辛亥廿五壬午廿五壬子廿七癸未廿七癸丑廿九甲申九月乙卯乙酉丙辰丙戌
28廿五癸丑廿六甲申廿四壬子廿六癸未廿六癸丑廿八甲申廿八甲寅乙酉丙辰丙戌丁巳丁亥
29廿六甲寅廿五癸丑廿七甲申廿七甲寅廿九乙酉廿九乙卯八月丙戌丁巳丁亥戊午戊子
30廿七乙卯廿六甲寅廿八乙酉廿八乙卯丙戌七月丙辰丁亥戊午戊子己未己丑
31廿八丙辰廿七乙卯廿九丙辰丁巳戊子己丑庚寅
"} {"image_path": "images/e5ca4228673104d43845ec780fdde577.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
JurisdictionType of settingOverall satisfaction with service quality, staff quality,managementQuality of the playroom/classroom/ buildingsQuality of staff instruction/teaching/ caringContact/ sharing of information by staff or managementRelevance of ECECcurriculum for home learningenvironmentsUse of materials, toys, books,etc.Possibility for parentalinvolvementPassibility for networkingand communication amongparentsDay schedules / planning /field tripsOpening hours, hours inoperationChild experiences or outcomesoutcomes
AustraliaAII ECEC settingsaaaaa2aaaaa
Belgium-FlemishCommunityAll ECEC settingsaaaaaaaaaaa
Belgium-French CommunityAll ECEC settingsaaaaaaaaaaa
ChileCommunity kindergartens;pre-primary education for3-5 year-olds; pre-primaryeducation for 4-5 year-oldsmmmmmmmmmmm
KindergartensXX
Czech Republicmmmmmmmmmmmm
Finland*All ECEC settingsXXXXXXXXXXX
FranceCommunity crèches; familyday careXXXX
Pre-primary schoolaaaaaaaaaaa
Germany*mmmmmmmmmmmm
IrelandAll ECEC settingsaaaaaaaaaaa
Italy*Nursery schools and pre-primaryschoolsXXXXXXX
JapanAll ECEC settingsaaaaaaaaaaa
KazakhstanAll ECEC settingsXXXXXXXXXXX
KoreaKindergartenXXXXXXXXX
Luxembourgaaaaaaaaaaaa
Mexico*Public child development centresfor 0-5 year-olds (CENDI)XXX
Federal home-based earlyeducation for 0-3 year-olds(CONAFE)XXXXXX
Federal social securitycentre-based care for 0-5 year-olds (IMSS)XXX
New Zealandaaaaaaaaaaaa
Norway*All ECEC settingsXXXXXXX
PortugalAll ECEC settingsaaaaaaaaaaa
Slovak RepublicNurseries; mother centres /children centresaaaaaaaaaaa
KindergartenXXXXXXXXX
Slovenia*Childminding of preschoolchildrenaaaaaaaaaaa
Kindergarten (integrated ECECsetting for 1-5 year-olds)XXXXXXXXXX
SwedenPreschool; preschool classXXXXXXX
Pedagogical care (e.g. family daycare)aaaaaaaaaaa
United Kingdom-EnglandAll ECEC settingsaaaaaaaaaaa
"} {"image_path": "images/4f832a7c7fe2ff9f1fbed09a34333924.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n\n\n\n\n\n\n
H(厘米) 自由流Q(升/秒)上 下 游 水 位 差 $H-h_{H}$ (厘米)
123456789101112131415161718192021222324
10322831
1137323637
1243364143
1349404648
145644515455
156249576062
166954626668
17775868737576
18846374798283
19926880868991
201007386929698
21108789299104106107
221178498106111114115
2312689105113119122124
2413594111121127130133133
2514499119128135139141142
26154105125136143147150152
27164111131143151156159161162
28174117138151159165168171172
29184123145159168174178181182
30194129152167176183187190192
31205135160175185192197200202203
32216141167183194201206210212214
"} {"image_path": "images/76e9eda9d420719c20d6cf2b73b66356.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
商品名称数量单价成交价
精品超市购物袋大号
6942728414025
10.30.30
生姜
2302392002250
12.25
优质后腿肉(优质)
2306171039500
139.50
嘎啦果(大)
2308434011180
111.18
茄子
2302381001450
11.45
馅饼
2311784006920
16.92
粉红西红柿
2302233002180
12.18
白菜
2301414001910
11.91
莲花白
2301262000930
10.93
大葱
2302386002330
12.33
"} {"image_path": "images/c39f70f959319f9dad5eb6ab8f7b3ab2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
汽车类型主要内容
小型汽车目前领先的氢燃料电动汽车制造商是丰田和现代。丰田宣布在2020年后,每年生产3万+辆燃料电池电动汽车,现代宣布到2030年年产能增加到70万辆,其中公路用氢燃料汽车占70%。
公共汽车◆ 中国:正在生产数千辆燃料电池电动公共汽车,并在2020-2025年内投入使用。
◆ 欧美:欧洲的燃料电池和氢气联合企业及美国国家燃料电池巴士计划在推进公共交通领域的氢能化。
◆ 韩国:计划到2040年部署4万辆氢燃料电池汽车,2.6万辆天然气动力公交车也可以转化为用氢。
◆ 日本:为2020年东京夏季奥运会配备燃料电池电动公交车。
卡车几家知名卡车制造商(现代、斯堪尼亚、丰田、大众、戴姆勒和PSA集团)正在开发氢燃料卡车车型。1600辆现代燃料电池卡车将在2025年部署在瑞士和其他欧洲国家。现代汽车和尼古拉都密切参与供应氢气,以确保满足客户的燃料需求。丰田正在与加州空气资源委员会、洛杉矶港和长滩港合作,试用其生产的8级卡车。此外,联邦快递、UPS和DHL等快递公司也正在试用氢燃料电池卡车。
"} {"image_path": "images/c301b4f4c3c44211b19d052dac967a81.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
n$C_{PU}^T=1$$C_{PU}^T=1.33$
$N_1$$N_2$$N_3$$N_4$R$N_1$$N_2$$N_3$$N_4$R
30SB01498131049902.996
PB24970122498001.996
BCPB4981101.0064972101.008
PT0114983.9940005004
40SB1049902.9962649112.982
PB0499012.0043491512.008
BCPB4990101.0044931241.034
PT0104993.9963124943.974
50SB1349512.9922349322.99
PB2495302.0022493232.012
BCPB4951131.0244924131.03
PT2114963.9824044923.968
60SB1749202.9823648742.984
PB1492612.0144488712.01
BCPB4921161.0424875171.056
PT6014933.9626154883.95
70SB1249612.9941848922.984
PB0498202.0042488822.02
BCPB4970031.0184932231.03
PT2024963.9844214933.966
80SB0749212.9884948432.972
PB1492702.01234821322.028
BCPB4951041.02648541101.072
PT4014953.9748524853.928
90SB1449232.99451147862.97
PB0494422.01644821132.026
BCPB4951221.02248333111.084
PT4124933.9688484803.92
100SB11048722.983648382.992
PB2488822.028484712.002
BCPB4942131.0264845291.072
PT3044933.9745584823.934
125SB124934351447382.968
PB1494412.0134781542.04
BCPB4953021.01848024141.104
PT3134933.97212684743.888
150SB1848742.988422457172.974
PB2490802.01264652452.056
BCPB4921251.0448053121.094
PT5134913.96108164663.876
200SB08482103.004715463152.972
PB3487822.018124691722.018
BCPB4923051.036466116171.148
PT52104833.942165134663.858
"} {"image_path": "images/29ddca62702efb8902cc082924b8c50b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathrm{20°C}$密度
温 度1140.01142.01144.01146.01148.01150.01152.01154.01156.01158.01160.0温 度
$^\\circ C$$\\mathrm{20°C}$体积修正系数$^\\circ C$
15.751.00231.00231.00231.00231.00231.00231.00231.00231.00231.00231.002315.75
16.001.00221.00221.00221.00221.00221.00221.00221.00221.00221.00221.002216.00
16.251.00211.00211.00211.00211.00211.00201.00201.00201.00201.00201.002016.25
16.501.00191.00191.00191.00191.00191.00191.00191.00191.00191.00191.001916.50
16.751.00181.00181.00181.00181.00181.00181.00181.00181.00181.00181.001816.75
17.001.00171.00171.00161.00161.00161.00161.00161.00161.00161.00161.001617.00
17.251.00151.00151.00151.00151.00151.00151.00151.00151.00151.00151.001517.25
17.501.00141.00141.00141.00141.00141.00141.00141.00141.00141.00141.001417.50
17.751.00121.00121.00121.00121.00121.00121.00121.00121.00121.00121.001217.75
18.001.00111.00111.00111.00111.00111.00111.00111.00111.00111.00111.001118.00
18.251.00101.00101.00101.00101.00101.00101.00101.00101.00101.00101.000918.25
18.501.00081.00081.00081.00081.00081.00081.00081.00081.00081.00081.000818.50
18.751.00071.00071.00071.00071.00071.00071.00071.00071.00071.00071.000718.75
19.001.00061.00061.00051.00051.00051.00051.00051.00051.00051.00051.000519.00
19.251.00041.00041.00041.00041.00041.00041.00041.00041.00041.00041.000419.25
19.501.00031.00031.00031.00031.00031.00031.00031.00031.00031.00031.000319.50
19.751.00011.00011.00011.00011.00011.00011.00011.00011.00011.00011.000119.75
20.001.00001.00001.00001.00001.00001.00001.00001.00001.00001.00001.000020.00
20.250.99990.99990.99990.99990.99990.99990.99990.99990.99990.99990.999920.25
20.500.99970.99970.99970.99970.99970.99970.99970.99970.99970.99970.999720.50
20.750.99960.99960.99960.99960.99960.99960.99960.99960.99960.99960.999620.75
21.000.99940.99940.99950.99950.99950.99950.99950.99950.99950.99950.999521.00
21.250.99930.99930.99930.99930.99930.99930.99930.99930.99930.99930.999321.25
21.500.99920.99920.99920.99920.99920.99920.99920.99920.99920.99920.999221.50
21.750.99900.99900.99900.99900.99900.99900.99900.99900.99900.99900.999121.75
22.000.99890.99890.99890.99890.99890.99890.99890.99890.99890.99890.998922.00
22.250.99880.99880.99880.99880.99880.99880.99880.99880.99880.99880.998822.25
22.500.99860.99860.99860.99860.99860.99860.99860.99860.99860.99860.998622.50
22.750.99850.99850.99850.99850.99850.99850.99850.99850.99850.99850.998522.75
23.000.99830.99830.99840.99840.99840.99840.99840.99840.99840.99840.998423.00
23.250.99820.99820.99820.99820.99820.99820.99820.99820.99820.99820.998223.25
23.500.99810.99810.99810.99810.99810.99810.99810.99810.99810.99810.998123.50
23.750.99790.99790.99790.99790.99790.99790.99800.99800.99800.99800.998023.75
24.000.99780.99780.99780.99780.99780.99780.99780.99780.99780.99780.997824.00
24.250.99770.99770.99770.99770.99770.99770.99770.99770.99770.99770.997724.25
24.500.99750.99750.99750.99750.99750.99750.99750.99750.99760.99760.997624.50
24.750.99740.99740.99740.99740.99740.99740.99740.99740.99740.99740.997424.75
25.000.99720.99720.99720.99730.99730.99730.99730.99730.99730.99730.997325.00
25.250.99710.99710.99710.99710.99710.99710.99710.99710.99710.99710.997225.25
25.500.99700.99700.99700.99700.99700.99700.99700.99700.99700.99700.997025.50
25.750.99680.99680.99680.99680.99680.99690.99690.99690.99690.99690.996925.75
26.000.99670.99670.99670.99670.99670.99670.99670.99670.99670.99670.996726.00
26.250.99650.99660.99660.99660.99660.99660.99660.99660.99660.99660.996626.25
26.500.99640.99640.99640.99640.99640.99640.99640.99650.99650.99650.996526.50
26.750.99630.99630.99630.99630.99630.99630.99630.99630.99630.99630.996326.75
27.000.99610.99610.99610.99620.99620.99620.99620.99620.99620.99620.996227.00
"} {"image_path": "images/8df0a3752c99ff69f6e53814725f9131.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MethodsFlickr30kCOCO-Capation
OKVQATextVQAOCRVQAGQA$ \\mathcal{A}^{\\mathcal{S}} $$ \\mathcal{A}^{\\mathcal{T}} $$ \\mathcal{H} $$ \\mathcal{O} $OKVQATextVQAOCRVQAGQA$ \\mathcal{A}^{\\mathcal{S}} $$ \\mathcal{A}^{\\mathcal{T}} $$ \\mathcal{H} $$ \\mathcal{O} $
Fine-Tune with VILA architecture
Zero-shot55.6060.3068.2061.4761.3955.4358.2658.4155.6060.3068.2061.4761.39107.6478.1984.52
Full FT37.9945.1753.8551.1447.0466.6855.1656.8637.3642.9655.8556.6348.20102.0765.4875.14
L2-Reg34.5925.8947.2049.4839.2962.7748.3351.0333.9841.6752.5550.2544.6199.8461.6772.23
Grafting35.6631.6047.4047.6740.5863.7149.5852.1533.1239.0652.6049.7743.6499.8460.7371.74
Half FT44.1548.7160.9052.9751.6870.1559.5260.9241.4147.4757.8053.9450.16106.1868.1378.17
DARE38.3839.6952.0551.3345.3665.6753.6655.5236.7343.3456.551.3346.98100.7064.0673.84
Tailor38.3044.9853.3551.3847.0065.0054.5656.0037.8443.5155.7050.9647.00102.4464.4474.72
SPIDER47.1153.3865.5555.5755.4083.49$ 66.61_{\\uparrow 11.45} $$69.45_{\\uparrow 12.59} $46.6554.9465.5556.6355.94122.74$76.86 _{\\uparrow 11.38} $$ 89.34_{\\uparrow 14.20} $
Fine-Tune with LLaVA architecture
Zero-shot58.0058.2566.2061.9361.1025.3135.7943.2058.0058.2566.2061.9361.10110.5278.6985.81
Full FT45.5947.0957.6556.9451.8261.5856.2856.7041.0142.8957.7553.6748.8392.0163.8070.42
Half FT48.9649.4760.8056.8154.0162.9158.1258.4637.6241.1460.0045.9646.1879.9158.5363.05
DARE44.8248.0158.7557.0452.1662.1856.7357.1739.6039.4556.0051.5046.6490.8261.6368.73
Tailor44.5046.3259.0057.1451.7461.2756.1056.5141.3540.8558.4554.8748.8890.9463.5869.91
SPIDER55.8153.6763.9557.0457.6279.84$ 66.93_{\\uparrow 10.65} $$ 68.73_{\\uparrow 12.03} $49.5045.3365.0058.1454.49114.74$ 73.89_{\\uparrow 10.09} $$ 84.62_{\\uparrow 14.20} $
"} {"image_path": "images/a3131ece0f894308e8898846198741a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompoundWater*K†1/nPAC Dose-mg/L$C_e = \\\\\\text{Time}_\\ddagger$Range§Reference
$C_0 = 100\\ \\mu\\text{g/L}$$ C_{0}=10\\mu g/L $
$10 \\mu \\mathrm{g} / \\mathrm{L}$$ \\begin{array}{c}C_{e}=\\\\ 1\\mu\\mathrm{g} /\\mathrm{L}\\end{array} $$ \\begin{array}{c}C_{e}=\\\\ 1\\mu\\mathrm{g} /\\mathrm{L}\\end{array} $
AlachlorDDW80.20.260.61.20.114 days512-0.628
GW620.330.71.60.1418 days477-0.228
SW10.50.383.69.40.8611 days46-2.628
AldicarbDDW8.40.44.311.81.113 days274-1.328
SW4.520.417.721.92.012 days171-1928
AtrazineDDW38.20.291.22.60.24785-4.228
GW24.40.361.64.00.37317-0.628
BenzeneMDW1.4E-92.9>100,000>100,000>100,0001h8,000-3,00047
3.570.429.627.72.515 min50,000-3,00072
BromodichloromethaneMDW0.100.76156.4990901h57-1.347
BromoformMDW0.650.8320.5152.313.81h90-247
CarbofuranDDW16.20.412.26.10.67 days111-2.938
SW11.90.363.38.30.767 days365-2.238
Carbon tetrachlorideMDW0.120.84108.4825751h120-2.547
ChlorobenzeneMDW0.110.9885.790081.81h17,500-1,40047
DDW9.00.354.511.01.011 days732-15.428
SW9.90.314.410.00.910 days401-14.128
ChloroformMDW0.030.84433.63,3003001h75-547
Cyclohexane23.90.22.44.140.415 min50,000-3,00072
DibromochloromethaneMDW0.100.93105.7990901h40-1.547
DibromochloropropaneDDW6.610.514.215.01.48 days69.2-0.228
SW3.840.468.125.82.38 days85.8-0.228
o-DichlorobenzeneDDW19.10.382.05.20.511 days1,056-14.428
SW8.40.582.811.81.110 days293-5928
cis-1,2-dichloroethyleneDDW0.20.59115.7495453 days615-5.528
SW0.150.64137.46606031 days230-1928
GW0.120.631768257515 days214-9.728
trans-1,2-dichloroethyleneDDW0.620.4551.516014.510 days415-13.528
SW0.630.3958.215714.310 days406-5928
2,4-DichlorophenolGW23.30.292.04.20.47 days300-112
SW13.40.323.27.40.6730 min600-5035
1,2-DichloropropaneDDW0.30.5977.1330303 days196-4.128
SW0.40.4874.5247.522.510 days126-4.628
DieldrinDDW3.00.568.333341
EndrinDW5.00.852.519.81.841
2,4,5-T esterDDW3.60.794.028.52.541
EthylbenzeneMDW0.230.7963.5430.439.11h22,500-2,10047
16.20.292.86.110.5615 min50,000-3,00072
DDW4.50.535.92223 days565-5.628
Ethylene chlorideMDW0.00111.52,58790,0008,1821h65-1747
EthylenedibromideDDW0.90.4634.7110104 days123-0.228
SW0.770.5433.7128.611.710 days139-1.128
GeosminDDW13.50.392.77.330.675 days0.05-2.027
DDW0.180.8374.0550505 days0008-0.0527
HeptachlorDDW1.780.926.155.65.140-0.1671
Heptachlor epoxideDDW11.920.751.349.60.7630-0.0471
HexachlorobutadieneMDW4.640.634.521.31.901h117-1.347
"} {"image_path": "images/1c48d6f1224a955df71c84da29dcb65e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓名古学清性别出生年月1946年10月17日
联系电话13778408378门店地址四川德阳
已确诊疾病(医院诊断书)椎间盘突出、脂肪肝、血脂高
患病时间$ \\underline{1995} $年$ \\underline{5} $月到至今
舌苔情况▢有红点▢√有裂纹 ▢舌边发红 ▢√舌有齿痕 ▢舌苔黄腻 ▢都没有
日常不适症状骨关节痛、特别是天气变化反映特痛、咳嗽时特痛
是否有以下情况(可多选)▢√高血压▢√高血糖 ▢√头晕 ▢头疼 ▢√腰腿疼 ▢√怕冷 ▢√乏力 ▢失眠 ▢√口干口渴 ▢便秘 ▢腹泻 ▢√心慌心悸 ▢√胸闷 ▢尿频 ▢√血脂异常 ▢√关节疼 ▢√水肿 ▢麻木 ▢其它___
在服药物稳压乐、血色通、端元胶囊
以上是否经过专医师诊断▢√是 ▢否
本人承诺以上所填内容均是依照本人身体情况填写,真实无误。
鹤年堂院长面对面\\n——栏目组——(0,547),(310,643)患者签名:古学$ \\underline{\\text{清25}} $ 年$ \\underline{3} $ 月$ \\underline{30} $ 日
"} {"image_path": "images/53941aa5152b1964a9a4eaf474b0fb61.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产行次期末余额实盘数年初余额负债和所有者权益行次期末余额实盘数年初余额
流动资产:流动负债:
货币资金=库存现金+银行存款+其他货币资金15,637.805,637.80273,170.06短期借款31100,000.000.000.00
短期投资20.000.00应付票据320.000.00
应收票据30.000.00应付账款:根据“应付账款”和“预付账款”科目所属的相关明细科目的期末贷方余额合计数列33492,830.69495,830.69
应收账款:根据(应收账款划细账户借方余额+预收账款明细账户借方余额(小准则不考虑坏账准备))42,599,306.752,686,319.77预收账款:根据“预收账款”和“应收账款”科目所属各明细科目的期末贷方余额合计数列349,105,805.908,920,747.50
预付账款:“预收账款”和“应收账款”科目所属各明细科目的期末贷方余额合计数列53,998,088.035,489,612.00应付职工薪酬350.000.00
应收股利60.000.00应交税费36-1,142,014.89-986,414.25
应收利息70.000.00应付利息370.000.00
其他应收款850,100.0050,100.00应付利润380.000.00
存货:根据“材料采购”、“原材料”、“低值易耗品”、“库存商品”、“周转材料”、“委托加工物资”、“委托代销商品”、“生产成本”、“受托代销商品”等科目的期末余额合计数,减去“受托代销商品款”、“存货跌价准备”科目期末余额后的净额填列。采用计划成本核算或售价核算的企业,还应按加或减材料成本差异、商品进销差价后的金额填列912,294,738.4710,650,761.60其他应付款:根据“应付利息”“应付股利”和“其他应付款”科目的期末余额合计数列3910,249,985.9910,566,425.99
其中:原材料100.000.00
在产品110.000.00
库存商品1212,294,738.4710,650,761.60
其他应付款130.000.00
其他流动资产140.000.00其他流动负债400.000.00
流动资产合计1518,947,871.0519,149,963.43流动负债合计4118,806,607.6918,996,589.93
非流动资产:非流动负债:
长期债券投资160.000.00长期借款420.000.00
长期股权投资170.000.00长期应付款430.000.00
固定资产原价180.000.00递延收益440.000.00
减:累计折旧190.000.00其他非流动负债450.000.00
"} {"image_path": "images/e59725f97a3b3d1a62ffcc3748a08b4b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
For the three months ended June 30,For the six months ended June 30,
2021202220212022
RMBRMBUSSRMBRMBUSS
Net revenues:
Revenues from product sales1,634,4722,521,221376,9882,741,3044,376,518654,403
Revenues from partnership stores279,276777,506116,257441,1471,326,807198,392
Total net revenues1,913,7483,298,727493,2453,182,4515,703,325852,795
Cost of materials(760,330)(1,261,936)(188,692)(1,299,653)(2,245,087)(335,699)
Store rental and other operating costs(467,221)(662,523)(99,064)(887,868)(1,248,492)(186,682)
Depreciation and amortization expenses(114,159)(97,240)(14,540)(228,973)(192,950)(28,851)
Delivery expenses(187,976)(314,602)(47,041)(319,126)(561,328)(83,933)
Sales and marketing expenses(79,937)(129,029)(19,293)(141,256)(237,436)(35,503)
General and administrative expenses(286,718)(341,608)(51,079)(559,781)(664,603)(99,375)
Store preopening and other expenses(2,058)(7,793)(1,165)(2,679)(16,044)(2,399)
Impairment loss of long-lived assets-(221,810)(33,166)-(221,810)(33,166)
Losses and expenses related to Fabricated Transactions and Restructuring(62,851)(20,563)(3,075)(154,660)(57,890)(8,656)
Total operating expenses(1,961,250)(3,057,104)(457,115)(3,593,996)(5,445,640)(814,264)
Operating (loss)/income(47,502)241,62336,130(411,545)257,68538,531
Interest income19,80021,9963,28955,56541,4426,197
Interest and financing expenses(9,419)(8,287)(1,239)(18,130)(15,146)(2,265)
Foreign exchange gain, net105,0322,009314109,05611,8881,778
Other income, net7,73910,8831,62712,95033,0784,946
Fair value changes of derivative asset bifurcated from Series B Senior Secured Notes-(4,435)(663)-(4,435)(663)
Provision for equity Litigants-(276,795)(41,388)-(279,967)(41,862)
Net income/(loss) before income taxes75,650(12,916)(1,930)(252,104)44,5456,662
Income tax (expense)benefit(54,615)(101,791)(15,220)40,665(139,417)(20,846)
Net income/(loss)21,035(114,707)(17,150)(211,439)(94,872)(14,184)
Less: Net loss attributable to non-controlling interests---108--
Net income/(loss) attributable to the Company’s ordinary shareholders21,035(114,707)(17,150)(211,547)(94,872)(14,184)
Net income/(loss) per ordinary share: - Basic0.01(0.05)(0.01)(0.10)(0.04)(0.01)
Net income/(loss) per ordinary share: - Diluted0.01(0.05)(0.01)(0.10)(0.04)(0.01)
Net income/(loss) per ADS (8 ordinary shares per ADS) - Basic*0.08(0.40)(0.08)(0.80)(0.32)(0.08)
Net income/(loss) per ADS (8 ordinary shares per ADS): - Diluted*0.08(0.40)(0.08)(0.80)(0.32)(0.08)
Weighted average shares outstanding used in calculating basic and diluted income/(loss) per share: - Basic2,025,174,7962,479,072,1152,479,072,1152,025,174,7962,466,520,1792,466,520,179
Weighted average shares outstanding used in calculating basic and diluted income/(loss): - Diluted2,025,174,7962,479,072,1152,479,072,1152,025,174,7962,466,520,1792,466,520,179
Net income/(loss)21,035(114,707)(17,150)(211,439)(94,872)(14,184)
Other comprehensive loss, net of tax of nil:
Foreign currency translation difference, net of tax of nil(34,672)(49,097)(7,341)(64,862)(52,970)(7,920)
Total comprehensive loss(13,637)(163,804)(24,491)(276,301)(147,842)(22,104)
Less: Total comprehensive loss attributable to non-controlling interests---108--
Total comprehensive loss attributable to ordinary shareholders(13,637)(163,804)(24,491)(276,409)(147,842)(22,104)
"} {"image_path": "images/5b13bf633a86af0a96b2bea3d7d2409f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variables单因素多因素
βS.EZPOR (95%CI)βS.EZPOR (95%CI)
Age0.070.022.910.0041.07 (1.02~1.12)0.070.032.450.0141.08 (1.01~1.14)
SBP0.060.014.40<.0011.06 (1.03~1.09)0.040.022.590.0091.04 (1.01~1.08)
DBP0.100.024.64<.0011.10 (1.06~1.15)0.060.022.720.0061.07 (1.02~1.12)
BMI0.180.044.38<.0011.19 (1.10~1.29)0.180.053.55<.0011.20 (1.09~1.33)
Sex
11.00 (Reference)1.00 (Reference)
2-1.790.40-4.47<.0010.17 (0.08~0.37)-2.000.50-3.99<.0010.14 (0.05~0.36)
Race
11.00 (Reference)1.00 (Reference)
2-0.970.38-2.510.0120.38 (0.18~0.81)-0.720.45-1.620.1060.48 (0.20~1.16)
3-1.050.58-1.810.0710.35 (0.11~1.09)-0.740.74-1.000.3150.48 (0.11~2.02)
Level60
11.00 (Reference)
21.220.701.740.0823.37 (0.86~13.29)
32.201.151.910.0569.00 (0.95~85.71)
"} {"image_path": "images/5a2e22dc3fbfa9d48ee1cb8654ac7eb0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 月 别
Year & month
2 5 ~ 4 4 歲Years4 5 ~ 6 4 歲
3 5 ~ 3 9 歲Years4 0 ~ 4 4 歲Years合計Total 男Male 女Female4 5 ~ 4 9 歲Years
小計Total 男Male 女Female小計Total 男Male 女Female小計Total 男Male 女Female
6 7年平均 Ave.,197810.457.393.059.336.622.7124.2519.624.638.746.662.08
6 8 年平均 Ave.,197910.397.293.109.256.552.7024.3619.544.828.536.412.13
6 9 年平均 Ave.,198010.367.422.949.366.572.7924.3419.355.008.406.182.23
7 0 年平均 Ave.,19819.947.142.809.396.602.7824.3119.255.068.175.942.22
7 1 年平均 Ave.,19829.326.482.849.476.612.8724.2819.035.268.105.812.29
7 2 年平均 Ave.,19839.576.433.149.416.353.0624.0518.325.737.985.552.43
7 3 年平均 Ave.,198410.026.643.389.356.183.1723.9817.956.037.985.452.53
7 4 年平均 Ave., 198510.987.233.749.025.943.0823.9617.746.228.065.462.60
7 5 年平均 Ave.,198612.187.824.368.575.563.0223.5817.126.478.105.382.72
7 6 年平均 Ave.,198713.198.404.798.395.402.9923.4216.876.568.055.342.71
7 7 年平均 Ave., 198813.968.965.018.605.563.0423.5416.996.568.085.392.69
7 8 年平均 Ave.,198914.429.285.149.035.833.2023.3616.856.517.975.332.64
7 9 年平均 Ave.,199014.999.695.309.706.313.3923.0716.566.517.855.272.57
8 0 年平均 Ave.,199115.249.815.4310.957.093.8722.6116.186.437.384.992.39
8 1 年平均 Ave.,199215.449.795.6511.967.714.2522.4915.956.547.344.902.44
8 2 年平均 Ave.,199315.529.775.7512.778.134.6422.5015.846.677.504.992.51
8 3 年平均 Ave.,199415.539.755.7913.418.424.9922.5515.746.827.855.182.67
8 4 年平均 Ave.,199515.629.755.8713.858.685.1823.0115.877.148.605.612.99
8 5 年平均 Ave.,199615.709.696.0114.248.815.4323.6016.027.589.656.193.46
8 6 年平均 Ave.,199715.739.676.0714.298.825.4724.3716.477.9010.586.783.80
8 7 年平均 Ave.,199815.879.746.1314.388.825.5524.9816.908.0811.167.154.01
8 8 年平均 Ave.,199915.749.566.1814.458.835.6225.5717.058.5111.587.314.28
8 9 年平均 Ave., 200015.669.506.1614.568.855.7126.1317.358.7812.037.584.45
9 0 年平均 Ave., 200115.719.366.3514.638.855.7826.9417.799.1512.487.774.71
9 1 年平均 Ave., 200215.449.176.2714.718.815.9027.6518.089.5712.437.684.75
9 2 年平均 Ave., 200315.208.946.2614.848.875.9728.5018.4610.0312.647.784.86
9 3 年平均 Ave., 200414.958.726.2314.858.816.0429.3618.9210.4412.887.865.03
9 4 年平均 Ave., 200514.748.556.1914.778.756.0230.2219.4010.8313.077.925.16
9 5 年平均 Ave., 200614.548.316.2314.768.636.1330.8119.7211.0913.067.895.17
9 6 年平均 Ave., 200714.278.106.1814.488.336.1431.7119.9911.7213.117.835.28
9 7 年平均 Ave., 200814.107.936.1714.228.166.0632.6120.3212.2913.327.875.44
9 8 年平均 Ave., 200913.947.736.2114.057.946.1133.3720.5712.8113.427.835.59
9 9 年平均 Ave., 201013.667.516.1513.907.776.1234.0520.8613.2013.357.725.63
1 0 0 年平均 Ave., 201113.507.386.1213.777.696.0834.8521.3913.4613.307.695.61
1 0 1 年平均 Ave., 201213.657.466.1813.637.546.0935.4921.6813.8113.217.595.62
1 0 2 年平均 Ave., 201313.817.516.3013.477.436.0536.0521.7614.3013.047.375.67
1 0 3 年平均 Ave., 201414.017.616.4013.217.206.0236.8521.9414.9212.927.205.72
1 0 4 年平均 Ave., 201514.287.716.5713.037.055.9937.1722.1215.0512.827.145.69
1 0 5 年平均 Ave., 201614.497.796.7013.067.046.0237.5222.1315.3912.797.035.76
1 0 6 年平均 Ave., 201714.577.866.7213.277.116.1637.7022.1115.5812.806.975.83
1 0 7 年平均 Ave., 201814.667.906.7513.377.266.1137.7822.2015.5812.807.005.80
1 0 8 年平均 Ave., 201914.617.816.8013.507.306.2037.8422.1715.6812.716.945.78
1 0 9 年平均 Ave., 202014.277.606.6714.017.526.5037.9921.9816.0112.446.695.75
1 月 Jan.14.477.796.6813.767.316.4537.8822.0215.8612.576.735.84
2 月 Feb.14.467.706.7613.797.396.4037.8922.0215.8712.556.735.82
3 月 Mar.14.437.656.7913.857.436.4237.9222.0615.8612.516.675.84
4 月 Apr.14.437.636.7913.947.386.5637.8822.0215.8612.456.695.76
5 月 May14.367.666.7114.007.506.5037.9421.9116.0312.476.755.73
6 月 June14.337.676.6514.077.526.5437.9421.9416.0112.436.735.70
7 月 July14.317.656.6614.047.606.4537.9322.0415.9012.4112.416.785.64
8 月 Aug.14.237.576.6614.087.626.4637.9921.9716.0212.376.695.68
9 月 Sept.14.167.476.6914.107.646.4638.0521.8416.2212.366.635.73
1 0 月 Oct.14.087.486.6014.157.636.5238.1221.8316.2812.396.645.74
1 1 月 Nov.14.037.516.5314.167.586.5838.1021.9316.1712.396.615.78
1 2 月 Dec.14.007.416.5914.227.626.6038.1822.1416.0412.416.675.75
1 1 0 年平均 Ave., 202113.667.326.3414.407.716.6938.4722.1816.2912.566.735.83
1 月 Jan.13.967.396.5714.297.556.7438.1322.3115.8312.386.635.75
2 月 Feb.13.927.496.4314.337.656.6838.1622.1416.0212.386.555.83
3 月 Mar.13.877.426.4514.357.636.7238.2122.1616.0512.386.595.79
4 月 Apr.13.817.316.5014.327.606.7238.3022.0416.2612.456.665.79
5 月 May13.777.306.4714.417.806.6138.4521.9216.5412.536.685.84
6 月 June13.697.376.3214.507.796.7138.5022.1716.3312.536.795.74
7 月 July13.647.416.2314.537.776.7538.4922.1316.3712.606.795.81
8 月 Aug.13.587.336.2614.477.826.6538.4122.1216.2912.556.765.79
9 月 Sept.13.527.226.3014.487.836.6538.5722.0516.5212.626.755.87
1 0 月 Oct.13.467.286.1814.417.716.7038.7122.1516.5612.706.845.86
1 1 月 Nov.13.387.236.1514.357.716.6538.8122.3716.4412.776.835.94
1 2 月 Dec.13.297.056.2414.357.616.7438.8722.6216.2512.846.915.94
"} {"image_path": "images/d7dbad7dc1b9c6eba3f7e7ca89e6614e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
货号品名数量金额折扣
643196有友泡凤爪100克/袋×1(11.30元/袋)¥11.30
2334211可口可乐迷你罐汽水200毫升*12罐/箱×1(24.50元/箱)¥24.50
106249费列罗榛果威化巧克力8粒心型装100g/盒×1(38.80元/盒)¥38.80
106377上好佳鲜虾条80克/包×1(6.50元/包)¥6.50
商品合计♥♥♥
应付♥♥♥
"} {"image_path": "images/595d63a2623438c5f882d44f905c98ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2013年 2月2014年 2月2015年 2月2016年 2月
1211234567123456
3456789234567889101112131478910111213
1011121314151691011121314151516171819202114151617181920
17181920212223161718192021222223242526272821222324252627
24252627282324252627282829
"} {"image_path": "images/8c0c3908f56fe723da5dc58ceb796cf1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
摘要总账科目明细账科目借方金额贷方金额
亿亿
支付北京京亿余下60···2202—应付账款22020201—北京京亿不锈钢有限···¥15390000
支付北京京亿余下60···1002—银行存款100201—工行存款¥15390000
合 计¥15390000¥15390000
"} {"image_path": "images/29e22a8d54f08d4344aa023f81601d41.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ChromosomeCase05Case06Case07Case08Case09Case10Query
$R_{1}$0100001
$R_{2}$1000100
$R_{3}$1000110
$R_{4}$0000001
$\\uparrow$$\\uparrow$
e < − − − − − − − − − − − − − − − − − − − − − − − − − − − − − − − − − − − − − − > f
"} {"image_path": "images/4c59c43994d551e0f6270c566511a450.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
收益区间
特征总结
相对收益区间相对+绝对收益区间
2010年11月-2012年1月2018年4月-2019年1月2021年12月-至今2012年9月-2013年3月2016年7月-2018年2月2020年7月-2020年11月2021年2月-2021年9月
宏观环境经济运行方向刺激计划退坡后经济增速下滑、通胀略高经济增速回落,国际局势出现一定变化经济面临一定的回落压力经济增速先回落后阶段性企稳供给侧结构性优革影响下,经济增长企稳回升率先从疫情冲击中走出,经济进入复苏通道疫后经济复苏的高点已过,进入有韧性的下行
政策基调货币政策收紧以抑制通胀金融去杠杆基调下货币政策相对从紧稳增长背景下货币政策转向宽松稳增长背景下政策基调维持中性偏松货币政策维持中性,金融去杠杆政策施行后逐步从紧货币政策从过去的全面宽松逐步向常态化回归货币政策维持中性,未有显著的收紧或放松
国内流动性数量端看,社融、M2增速快速回落;
价格端看,区间内4次加息合计105BP,十债收益率大幅回落
数量端看,社融、M2增速小幅回落;
价格端看,区间内基准利率未变动,十债收益率大幅回落
数量端看,社融、M2增速小幅回落;
价格端看,区间内基准利率未变动,十债收益率大幅回落
数量端看,社融、M2增速小幅回升;
价格端看,区间内基准利率未变动,十债收益率低位整理
数量端看,社融、M2增速震荡回升;
价格端看,区间内3次加息合计25BP,十债收益率单边上行
数量端看,社融、M2增速缓慢回升;
价格端看,区间内基准利率未变动,十债收益率单边上行
数量端看,社融、M2增速震荡回落;
价格端看,区间内基准利率未变动,十债收益率震荡向下
全球流动性美联储推出0E2,美国十年期国债收益率大幅回落区间内美联储加息4次合计100BP,美国十年期国债收益率快速上行区间内美联储多次大幅加息,美国十年期国债收益率快速上行美联储推出QE3,美国十年期国债收益率低位震荡区间内美联储加息4次合计100BP,美国十年期国债收益率震荡向上区间内美联储保持宽松,美国十年期国债收益率震荡向上区间内美联储开启Taper,美国十年期国债收益率率先上后下
"} {"image_path": "images/b5746527dbdaddcacde9a5b658c7633c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
摘要会计科目借方金额贷方金额记账√
总账科目明细科目亿亿
提现库存现金830238
银行存款工商银行99980000
附件2张合计¥831237¥80000
"} {"image_path": "images/d939cbd8e777e6ef524b4090a05ba752.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品名称数量单价成交价
[$ \\ast $zt]现代牧业鲜语纯牛奶250ml$ \\ast $1
6954527000330
168.040.00
[zt]精品超市购物袋小号
6942728414018
10.20.20
[zt]精品超市购物袋小号
6942728414018
10.20.20
[zt]蜜桔
2305237007203
17.20
[zt]胡萝卜(二级)
2302900003130
13.13
[$ \\ast $zt]海天炒菜蚝油700g
6902265700418
110.07.90
[$ \\ast $zt]徜徉梅果王罐头200g
6939005002013
13.52.50
[$ \\ast $zt]田超阿胶红糖300g
6921253609137
110.97.90
[$ \\ast $zt]金宫特级鸡精100g
6943889510045
16.54.20
[zt]土豆
2303728002260
12.26
[zt]香蕉(折价)
2300336002240
12.24
[zt]蜜柚
2305734003830
13.83
[zt]豇豆
2302651006000
16.00
[zt]云南莴笋尖
2303383002660
12.66
[zt]黄瓜
2303727004240
14.24
[zt]莴笋(二级)
2303296005170
15.17
[zt]水白菜
2302610002530
12.53
[zt]蜜柚
2305734003490
13.49
降价优惠合计:36.4
总额折扣:36.40
应收:105.65件数:18
实收:105.65找零:0.00
"} {"image_path": "images/fddff5b9b01687db7d403456893eb93d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2023年度
歸屬於母公司所有者權益 少数股東權益所有者權益合计
_______________________________项目實收資本(或股本)其他權益工具 資本公積减:库存股 其他综合收益專項儲備盈餘公積 一般風險準備 未分配利潤其他 小計
優先股永續債其他
一、上年年末餘額 4,187,093,073.001,039,376,000.006,581,326,328.756,493,135.004,380,136.92822,928,444.787,819,835,341.2820,461,432,459.734,719,824,600.4525,181,257,060.18
加: 會計政策變更
前期差錯更正
其他
二、本年期初餘額 4,187,093,073,001,039,376,000.006,581,326,328.756,493,135.004,380,136.92822,928,444.787,819,835,341.2820,461,432,459.734,719,824,600.4525,181,257,060.18
三、 本期增减變動金额(減少以[-1號填列)30,081,451.78-3,075,600.0042,490,759.31205,086,722.451,140,717,844.651,415,301,178.19144,211,329.871,559,512,508.06
(一) 综合收益總额-3,075,600.002207,473,530.192,204,397,930.19524,292,133.322728,690,063.51
(二) 所有者投入和减少资本25,303,829.8525,303,829.8583,816,505.21109,120,335.06
1. 所有者投入的普通股105,745,900.00105,745,900.00
2. 其他權益工具持有者投入資本
3. 股份支付计入所有者權益的金额
4. 其他25,303,829.8525,303,829.85-21,929,394.793374,435.06
(三) 利潤分配205,086,722.45-1,066,755,685.54-861,668,963.09-470,814,927.40-1,332,483,890.49
1. 提取盈餘公積205,086,722.45-205,086,722.45
2. 提取一粘風验準值
3. 對所有者(或股東)的分配-808,108,963.09-808,108,943.09-470,814,927.40-1,278,923,890.49
4. 其他-53,560,000.00-53,560,000.00-53,560,000.00
(四) 所有者权益内部结转
1. 资本公积转增资本(或股本)
2. 盈餘公積轉換本金(或股本)
3. 盈餘公積需補損
4. 設定受益計劃變動額結轉留存收益
5. 其他综合收益结转留存收益
6. 其他
(五) 專項儲備42,490,759.3142,490,759.317,425,680.9649,916,440.27
1. 本期提取148,554,190.07148,554,190.0780,375,404.37228,929,594.44
2. 本期使用106,063,430.76106,063,430.7672,949,723.41179,013,154.17
(六) 其他4,777,621.934777,621.93-508,062.224,269,559.71
四、本期期末餘額4,187,093,073.001,039,376,000.006,611,407,780.533,417,535.0046,870,896.231,028,015,167.238,960,553,185.9321,876,733,637.924,864,035,930.3226,740,769,568.24
"} {"image_path": "images/315d7568d7d08884bc79ec4d4cb14c7d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ExistenceConditionsSpectra of long wave oscillations$\\omega\\ll\\Omega_{i},\\:k_{\\perp}\\rho_{i}\\gg1$Role ofelectroncollisionsRole of ion collisionsStabilization by shear
$\\omega,\\:v_{e}\\ll k_{z}v_{Te},$$\\omega\\gg k_{z}v_{Ti},$$\\omega\\gg v_{ii}k^{2}\\bot\\rho_{i}^{2}$$\\omega\\approx-\\frac{T_{e}}{T_{e}+T_{t}\\left(1+k^{2}r_{De}^{2}\\right)}\\:\\frac{v_{Ti}}{\\sqrt{2\\pi}}\\frac{\\partial}{\\partial x}\\ln\\frac{N}{\\sqrt{T}},$$\\gamma\\approx\\frac{\\pi\\omega^{2}}{\\mid k_{z}\\mid v_{Te}}\\:k_{\\perp}\\rho_{i}\\:\\frac{\\partial\\ln N/\\sqrt{T_{e}}}{\\partial\\ln N/\\sqrt{T_{i}}\\Bigg(1-\\frac{g}{\\nu_{s}^{2}\\frac{\\partial}{\\partial x}\\ln\\frac{N}{\\sqrt{T_{i}}}}\\Bigg)-$$-v_{ii}k_{\\perp}^{2}\\rho_{i}^{2}\\frac{3\\left(\\pi+1\\right)}{4\\sqrt{2}}\\:\\frac{\\partial\\ln NT_{i}^{-0.69}}{\\partial\\ln NT_{i}^{-0\\.5}}$InsignificantDestabilizing when$1.45<\\frac{\\partial\\ln T_{i}}{\\partial\\ln N}<2$$\\theta>\\frac{1}{\\sqrt{2\\pi}}\\:\\frac{1}{k_{\\perp}\\rho_{i}}\\:\\frac{\\rho_{i}}{L_{0}}$
$\\omega\\gg v_{e}k_{z}v_{Te},$$\\omega^{\\gg}_{\\ll}v_{ii}k_{\\perp}^{2}\\rho_{\\delta}^{2}$$\\omega\\approx\\frac{1}{1+k^{2}r_{Di}^{2}}\\frac{k_{y}v_{Ti}^{2}}{\\Omega_{i}}\\frac{\\partial\\ln N}{\\partial x}\\:,$$\\gamma=-\\frac{T_{i}}{T_{e}}\\:v_{{eff}}\\:\\frac{k_{z}^{2}v_{Te}^{2}}{\\omega^{2}}\\left(\\frac{1}{1+k^{2}r_{Di}^{2}}+\\frac{T_{e}}{T_{i}}\\frac{\\partial\\ln NT_{e}^{-0\\cdot5}}{\\partial\\ln N}\\right)+{\\gamma_{i}}^{*)}$Destabilizing when$\\frac{\\partial\\ln T_e}{\\partial\\ln N}>2\\left(1+\\frac{T_i}{T_e}\\right)$Destabilizing when$\\frac{\\partial\\ln T_t}{\\partial\\ln N}<4.45\\:k^2r_{Di}^2$$\\theta>{\\sqrt{\\frac{m}{M}\\frac{T_{e}}{T_{i}}}}\\frac{\\rho_{i}}{L_{0}}$
$v_e\\gg\\omega,k_zv_{Te}.$$\\omega v_{e}\\gg k_{z}^{2}v_{Te}^{2},$$\\omega^{>}_{<}v_{ii}k_{\\perp}^{2}\\rho_{\\delta}^{2}$$\\omega\\approx\\frac{1}{1+k^{2}r_{Di}^{2}}\\frac{k_{y}v_{Ti}^{2}}{\\Omega_{i}}\\frac{\\partial\\ln N}{\\partial x},$$\\gamma=-1.96\\:\\frac{T_{i}}{T_{e}}\\:\\frac{k_{z}^{2}v_{Te}^{2}}{v_{eff}}\\Bigg[\\frac{1}{1+k^{2}r_{Di}^{2}}+$$+\\frac{T_e}{T_i}\\left(1+\\frac{\\partial\\ln T_e^{1.71}}{\\partial\\ln N}\\right)\\Bigg]+\\gamma_i^{*)}$Always destabilizingDestabilizing when$\\frac{\\partial\\ln T_{i}}{\\partial\\ln N}<4.45\\:k^{2}r_{Di}^{2}$$\\theta>minx$$x \\begin{cases} {\\sqrt{\\frac{M}{m}\\frac{T_{i}}{T_{e}}}}\\frac{\\nu_{eff}}{\\Omega_{e}k_{\\perp}\\rho_{i}} \\\\ \\sqrt{\\frac{\\nu_{eff}}{\\Omega_{e}}\\frac{T_{i}}{T_{e}}\\frac{1}{k_{\\perp}\\rho_{i}}\\frac{\\rho_{i}}{L_{0}} }& \\end{cases}$
$v_e\\geqslant\\omega,k_zv_{Te},$$\\omega v_{e}\\ll k_{z}^{2}v_{Te}^{2},$$\\omega\\gg v_{ii}k_{\\perp}^{2}\\rho_{i}^{2}$$\\omega\\approx-\\frac{T_{e}}{T_{e}+T_{i}\\:(1+k^{2}r_{De}^{2})}\\:\\frac{v_{Ti}}{\\sqrt{2\\pi}}\\frac{\\partial}{\\partial x}\\ln\\frac{N}{\\sqrt{T_{i}}}\\:,$$\\gamma\\approx1.44\\:\\frac{\\sqrt{2\\pi}\\omega^{2}k_{\\perp}\\rho_{i}}{k_{z}^{2}v_{Te}^{2}}\\nu_{{eff}}\\:\\frac{\\partial\\ln NT_{e}^{-0.56}}{\\partial\\ln NT_{i}^{-0.5}}\\times $$\\times\\left(1-\\frac{g}{v_{s}^{2}\\:\\frac{\\partial}{\\partial x}\\ln\\frac{N}{\\sqrt{T_{i}}}}\\right)-$$-\\frac{3\\pi+3}{4\\sqrt{2}}\\frac{\\nu_{ii}k_{\\perp}^{2}\\rho_{i}^{2}\\partial\\ln NT_{i}^{-0.69}}{\\partial\\ln NT_{i}^{-0.5}}$Always destabilizingDestabilizing when$1.45<\\frac{\\partial\\ln T_i}{\\partial\\ln N}<2$0>$>\\min \\begin{cases} \\sqrt{\\frac{{M}}{m}\\frac{T_{i}}{T_{e}}}\\frac{\\nu_{eff}}{\\Omega_{e}k_{\\perp}\\rho_{i}} \\\\ \\frac{1}{\\sqrt{2\\pi}}\\frac{1}{k_{\\perp}\\rho_{i}}\\frac{\\rho_{i}}{L_{0}} & \\end{cases}$
*) Here $\\gamma_{i}=-\\frac{\\omega^{2}}{v_{ii}}\\:\\frac{2C_{0}C_{1}}{3\\pi k_{\\perp}^{3}\\rho_{i}^{3}}\\left(\\frac{\\partial\\ln T_{i}}{\\partial\\ln N}-\\frac{4.45k^{2}r_{Di}^{2}}{1+k^{2}r_{Di}^{2}}\\right)$ if $\\omega\\ll v_{ii}k_{\\perp}^{2}\\rho_{i}^{2}$ ,$\\gamma_{i}=-\\frac{3\\:(3\\pi+2)}{32\\:\\sqrt{\\pi}}\\:v_{ii}k_{\\perp}p_{i}\\:\\left(\\frac{\\partial\\ln T_{t}}{\\partial\\ln N}-\\frac{1.45k^{2}r_{Di}^{2}}{1+k^{2}r_{Di}^{2}}\\right)$ if $\\omega\\gg v_{ii}k_\\perp^2\\rho_i^2$.
"} {"image_path": "images/79e0e320aae51647849c244282c7c870.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TYPEUSEMATERTALPOLALITYMAXIMUM RATINGSELECTRICAL CHARACTERISTICSOUTLINETONOTE
$ \\begin{array}{c}P_{c}\\\\ 25^{\\circ} C\\\\ (w/ t)\\end{array} $Ti (℃)$V_{CB}$(V)$V_{CBD}$(V)$I_{C} $(mA)$I_{CBD}$$h_{FE}$MeNe(Ω) ln 6${ ( x 1 0 ^ { -a } ) } $$ \\begin{array}{c}{\\text{ Hos}}\\\\ {(\\mu_{Ʊ})}\\end{array} $fTofoeootes(MHz)NF(dB)Cob(pF)( )
{uA)$V_{CB}$(V)min.max.Ic(mA)
BC107AAFSN300175504510015201252602300102.518
BC107BAFSN300175504510015202405002300102.518
BC108AAFSN300175302010015201252602300102.518
BC108BAFSN300175302010015202405002300102.518
BC108CAFSN300175302010015204509002300102.518
BC109BAFSN300175302010015202405002300102.518
BC109CAFSN300175302010015204509002300102.518
BCI10AFSN300175808050100n8030902100518
BC129AAFSN1351755045100152018021252.71.51830034.518
BC129BAFSN1351755045100152029022404.523030034.518
BC130AAFSN1351753020100152018021252.71.51830034.518
BC130BAFSN1351753020100152029022404.523030034.518
BC130CAFSN1351753020100152052024508.736030034.518
BC131BAFSN1351753020100152029022404.523030044.518
BC131CAFSN1351753020100152052024508.736030044.518
BCI40AFSN65017540IA402501005039
BCI41AFSN65017560IA40250100501039
BC147AAFSN30017550451005201252602300102.5SOT25
BC147BAFSN300175504510052024050023002.5SOT25
BC148AAFSN30017530201005201252602300SOT25
BC148BAFSN30017530201005202405002300SOT25
BC148CAFSN30017530201005204509002300SOT25
BC149BAFSN30017530201005202405002300SOT25
BC149CAFSN30017530201005204509002300SOT25
BCI55AFSN1051255550100n5859000.550TOM13
BCI56AFSN501255550100n5859000.550TOM23
BCI60AFSP65017540IA402501005039
BCI61AFSP65017560IA402501005039
BC167AFSN3001505045100520180290230092
BC168AFSN3001503020100520180520230092
BC169AFSN3001503020100520290520230092
BC177VIAFSP30017550451001020751502751.42.520130104.518
BC177AAFSP3001755045100102012526021252.7325130104.518
BC177BAFSP3001755045100102024050022404.53.535130104.518
BC178VIAFSP30017530251001020751502751.42.520130104.518
BC178AAFSP3001753025100102012526021252.7325130104.518
BC178BAFSP3001753025100102024050022404.53.535130104.518
BC178CAFSP3001753025100102045090024508.7445130104.518
BC179AArSP3001752520100102012526021251.4325130104.518
BC179BAFSP3001752520100102024050022402.73.535130104.518
BC179CAFSP3001752520100102045090024504.5445130104.518
BC182AAFSN300150605020015n5012526026015010592
BC182BAFSN300150605020015n50240500250015010592
BC194SN1051254025800100n3040250101008TOM13
BC196V1AFSP50125302510050n20140275150104TOM23
BC196AAFSP50125302510050n201802125200104TOM23
BC196BAFSP50125302510050n202902240250104TOM23
BCI97AFSN135175504510052018022502.71.53030010TOM23
BC198AAFSS135175302010052018022202.71.518300104.5TOM23
BC1988AFSN13517530201005-2029023304.5230300104.5TOM23
BC198CAFSN135175302010052052026008.7360300104.5TOM23
BC199AFSS135175302010052029052023304.5230300104.5TOM23
BC212AFSS300150605020015n3060300230020010592
BC237AAFSN300150504510052012526022202.71.518300104.592
BC237BAFSN300150504510052024050023304.5230300104.592
"} {"image_path": "images/f7d331a104d66938507402f2c9a109fb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产行次年初数期末数负债和所有者权益(或股东权益)行次年初数期末数
一年内到期的长期债券投资21预计负债83
其他流动资产24一年内到期的长期负债86
流动资产合计313947000.00其他流动负债90
长期资产:
长期股权投资32流动负债合计100-50000.00
长期债券投资34长期负债:
长期投资合计38长期借款101
固定资产:应付债券102
固定资产原价39长期应付款103
减:累计折旧40专项应付款106
固定资产净值41其他长期负债108
减:固定资产减值准备42长期负债合计110
固定资产净额43递延税项:
工程物资44递延税款贷项111
在建工程45负债合计114-50000.00
固定资产清理46
固定资产合计50所有者权益(或股东权益):
无形资产及其他资产:实收资本(或股本)1154000000.00
无形资产51减:已归还投116
长期待摊费用52实收资本(或股本)净额1174000000.00
其他长期资产53资本公积118
无形资产及其他资产合计60盈余公积119
其中:法定公益120
递延税款:未分配利润121-3000.00
递延税款借项61所有者权益(或股东权益)合计1223997000.00
资产总计673947000.00负债和所有者权益(或股东权益)总计1353947000.00
"} {"image_path": "images/fddff5b9b01687db7d403456893eb93d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
2023年度
歸屬於母公司所有者權益 少数股東權益所有者權益合计
项目實收資本(或股本)其他權益工具 資本公積减:库存股 其他综合收益專項儲備盈餘公積 一般風險準備 未分配利潤其他 小計
優先股永續債其他
一、上年年末餘額 4,187,093,073.001,039,376,000.006,581,326,328.756,493,135.004,380,136.92822,928,444.787,819,835,341.2820,461,432,459.734,719,824,600.4525,181,257,060.18
加: 會計政策變更
前期差錯更正
其他
二、本年期初餘額 4,187,093,073,001,039,376,000.006,581,326,328.756,493,135.004,380,136.92822,928,444.787,819,835,341.2820,461,432,459.734,719,824,600.4525,181,257,060.18
三、 本期增减變動金额(減少以[-1號填列)30,081,451.78-3,075,600.0042,490,759.31205,086,722.451,140,717,844.651,415,301,178.19144,211,329.871,559,512,508.06
(一) 综合收益總额-3,075,600.002207,473,530.192,204,397,930.19524,292,133.322728,690,063.51
(二) 所有者投入和减少资本25,303,829.8525,303,829.8583,816,505.21109,120,335.06
1. 所有者投入的普通股105,745,900.00105,745,900.00
2. 其他權益工具持有者投入資本
3. 股份支付计入所有者權益的金额
4. 其他25,303,829.8525,303,829.85-21,929,394.793374,435.06
(三) 利潤分配205,086,722.45-1,066,755,685.54-861,668,963.09-470,814,927.40-1,332,483,890.49
1. 提取盈餘公積205,086,722.45-205,086,722.45
2. 提取一粘風验準值
3. 對所有者(或股東)的分配-808,108,963.09-808,108,943.09-470,814,927.40-1,278,923,890.49
4. 其他-53,560,000.00-53,560,000.00-53,560,000.00
(四) 所有者权益内部结转
1. 资本公积转增资本(或股本)
2. 盈餘公積轉換本金(或股本)
3. 盈餘公積需補損
4. 設定受益計劃變動額結轉留存收益
5. 其他综合收益结转留存收益
6. 其他
(五) 專項儲備42,490,759.3142,490,759.317,425,680.9649,916,440.27
1. 本期提取148,554,190.07148,554,190.0780,375,404.37228,929,594.44
2. 本期使用106,063,430.76106,063,430.7672,949,723.41179,013,154.17
(六) 其他4,777,621.934777,621.93-508,062.224,269,559.71
四、本期期末餘額4,187,093,073.001,039,376,000.006,611,407,780.533,417,535.0046,870,896.231,028,015,167.238,960,553,185.9321,876,733,637.924,864,035,930.3226,740,769,568.24
"} {"image_path": "images/315d7568d7d08884bc79ec4d4cb14c7d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ExistenceConditionsSpectra of long wave oscillations$\\omega\\ll\\Omega_{i},\\:k_{\\perp}\\rho_{i}\\gg1$Role ofelectroncollisionsRole of ion collisionsStabilization by shear
$\\omega,\\:v_{e}\\ll k_{z}v_{Te},$$\\omega\\gg k_{z}v_{Ti},$$\\omega\\gg v_{ii}k^{2}\\bot\\rho_{i}^{2}$$\\omega\\approx-\\frac{T_{e}}{T_{e}+T_{t}\\left(1+k^{2}r_{De}^{2}\\right)}\\:\\frac{v_{Ti}}{\\sqrt{2\\pi}}\\frac{\\partial}{\\partial x}\\ln\\frac{N}{\\sqrt{T_i}},$ $\\gamma \\approx \\frac{\\pi \\omega^2}{|k_z| v_{Te}} k_\\perp \\rho_i \\frac{\\partial \\ln N / \\sqrt{T_e}}{\\partial \\ln N / \\sqrt{T_i}} \\left( 1 - \\frac{g}{v_s^2 \\frac{\\partial}{\\partial x} \\ln \\frac{N}{\\sqrt{T_i}}} \\right) - v_{ti} k_\\perp^2 \\rho_i^2 \\frac{3(\\pi + 1)}{4\\sqrt{2}} \\frac{\\partial \\ln N T_i^{-0.69}}{\\partial \\ln N T_i^{-0.5}}$InsignificantDestabilizing when$1.45<\\frac{\\partial\\ln T_{i}}{\\partial\\ln N}<2$$\\theta>\\frac{1}{\\sqrt{2\\pi}}\\:\\frac{1}{k_{\\perp}\\rho_{i}}\\:\\frac{\\rho_{i}}{L_{0}}$
$\\omega\\gg v_{e}k_{z}v_{Te},$$\\omega^{\\gg}_{\\ll}v_{ii}k_{\\perp}^{2}\\rho_{\\delta}^{2}$$\\omega\\approx\\frac{1}{1+k^{2}r_{Di}^{2}}\\frac{k_{y}v_{Ti}^{2}}{\\Omega_{i}}\\frac{\\partial\\ln N}{\\partial x}\\:,$$\\gamma=-\\frac{T_{i}}{T_{e}}\\:v_{{eff}}\\:\\frac{k_{z}^{2}v_{Te}^{2}}{\\omega^{2}}\\left(\\frac{1}{1+k^{2}r_{Di}^{2}}+\\frac{T_{e}}{T_{i}}\\frac{\\partial\\ln NT_{e}^{-0\\cdot5}}{\\partial\\ln N}\\right)+{\\gamma_{i}}^{*)}$Destabilizing when$\\frac{\\partial\\ln T_e}{\\partial\\ln N}>2\\left(1+\\frac{T_i}{T_e}\\right)$Destabilizing when$\\frac{\\partial\\ln T_t}{\\partial\\ln N}<4.45\\:k^2r_{Di}^2$$\\theta>{\\sqrt{\\frac{m}{M}\\frac{T_{e}}{T_{i}}}}\\frac{\\rho_{i}}{L_{0}}$
$v_e\\gg\\omega,k_zv_{Te}.$$\\omega v_{e}\\gg k_{z}^{2}v_{Te}^{2},$$\\omega^{>}_{<}v_{ii}k_{\\perp}^{2}\\rho_{\\delta}^{2}$$\\omega\\approx\\frac{1}{1+k^{2}r_{Di}^{2}}\\frac{k_{y}v_{Ti}^{2}}{\\Omega_{i}}\\frac{\\partial\\ln N}{\\partial x},$$\\gamma=-1.96\\:\\frac{T_{i}}{T_{e}}\\:\\frac{k_{z}^{2}v_{Te}^{2}}{v_{eff}}\\Bigg[\\frac{1}{1+k^{2}r_{Di}^{2}}+$$+\\frac{T_e}{T_i}\\left(1+\\frac{\\partial\\ln T_e^{1.71}}{\\partial\\ln N}\\right)\\Bigg]+\\gamma_i^{*)}$Always destabilizingDestabilizing when$\\frac{\\partial\\ln T_{i}}{\\partial\\ln N}<4.45\\:k^{2}r_{Di}^{2}$$\\theta>minx$$x \\begin{cases} {\\sqrt{\\frac{M}{m}\\frac{T_{i}}{T_{e}}}}\\frac{\\nu_{eff}}{\\Omega_{e}k_{\\perp}\\rho_{i}} \\\\ \\sqrt{\\frac{\\nu_{eff}}{\\Omega_{e}}\\frac{T_{i}}{T_{e}}\\frac{1}{k_{\\perp}\\rho_{i}}\\frac{\\rho_{i}}{L_{0}} }& \\end{cases}$
$v_e\\geqslant\\omega,k_zv_{Te},$$\\omega v_{e}\\ll k_{z}^{2}v_{Te}^{2},$$\\omega\\gg v_{ii}k_{\\perp}^{2}\\rho_{i}^{2}$$\\omega\\approx-\\frac{T_{e}}{T_{e}+T_{i}\\:(1+k^{2}r_{De}^{2})}\\:\\frac{v_{Ti}}{\\sqrt{2\\pi}}\\frac{\\partial}{\\partial x}\\ln\\frac{N}{\\sqrt{T_{i}}}\\:,$$\\gamma\\approx1.44\\:\\frac{\\sqrt{2\\pi}\\omega^{2}k_{\\perp}\\rho_{i}}{k_{z}^{2}v_{Te}^{2}}\\nu_{{eff}}\\:\\frac{\\partial\\ln NT_{e}^{-0.56}}{\\partial\\ln NT_{i}^{-0.5}}\\times $$\\times\\left(1-\\frac{g}{v_{s}^{2}\\:\\frac{\\partial}{\\partial x}\\ln\\frac{N}{\\sqrt{T_{i}}}}\\right)-$$-\\frac{3\\pi+3}{4\\sqrt{2}}\\frac{\\nu_{ii}k_{\\perp}^{2}\\rho_{i}^{2}\\partial\\ln NT_{i}^{-0.69}}{\\partial\\ln NT_{i}^{-0.5}}$Always destabilizingDestabilizing when$1.45<\\frac{\\partial\\ln T_i}{\\partial\\ln N}<2$0>$>\\min \\begin{cases} \\sqrt{\\frac{{M}}{m}\\frac{T_{i}}{T_{e}}}\\frac{\\nu_{eff}}{\\Omega_{e}k_{\\perp}\\rho_{i}} \\\\ \\frac{1}{\\sqrt{2\\pi}}\\frac{1}{k_{\\perp}\\rho_{i}}\\frac{\\rho_{i}}{L_{0}} & \\end{cases}$
*) Here $\\gamma_{i}=-\\frac{\\omega^{2}}{v_{ii}}\\:\\frac{2C_{0}C_{1}}{3\\pi k_{\\perp}^{3}\\rho_{i}^{3}}\\left(\\frac{\\partial\\ln T_{i}}{\\partial\\ln N}-\\frac{4.45k^{2}r_{Di}^{2}}{1+k^{2}r_{Di}^{2}}\\right)$ if $\\omega\\ll v_{ii}k_{\\perp}^{2}\\rho_{i}^{2}$ ,$\\gamma_{i}=-\\frac{3\\:(3\\pi+2)}{32\\:\\sqrt{\\pi}}\\:v_{ii}k_{\\perp}p_{i}\\:\\left(\\frac{\\partial\\ln T_{t}}{\\partial\\ln N}-\\frac{1.45k^{2}r_{Di}^{2}}{1+k^{2}r_{Di}^{2}}\\right)$ if $\\omega\\gg v_{ii}k_\\perp^2\\rho_i^2$.
"} {"image_path": "images/fdb2f8a8a969a724c7d58c72ce02f21e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
定 额 编 号11-20211-20311-20411-20511-20611-207
项 目单位单价金 线 苏 画 (片金箍头卡子二)
打 贴 库 金打 贴 赤 金打贴铜箔 描清漆
23c m以下23-58c m23c m以下23-58c m23c m以下23-58c m
预 算 价 值88.1882.9162.8659.5323,1121.69
其中人 工 费15.8214.5616.0814.7615.7714.44
材 料 费72.3668.3546.7844.777.347.25
机 械 费
人工基 本 工工日1.921.771.951.801.981.82
其 他 工工日0.480.440.490.440.500.45
合计工日工日2.402.212.442.242.482.27
工资等级5.75.75.75.75.15.1
材料巴黎绿kg22.400.090.090.090.090.090.09
群青kg7.570.040.040.940.040.040.04
白乳胶漆kg6.650.040.040.040.040.040.04
银 朱kg24.410.010.010.010.010.010.01
章 丹kg4.800.050.050.050.050.050.05
石 黄kg1.360.010.010.010.010.010.01
"} {"image_path": "images/8684353e271de71d36e5924e9187beb6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号调研内容时间承办部门
1我市茶产业高质量发展情况3—5月农业农村委
2科技创新与科技成果转化同时发力,推动高质量发展4—5月教科文卫委
3我市增材制造产业集群化发展情况7—8月经济委
4我市人口发展态势及生育政策情况10—11月教科文卫委
5优化养老服务供给促进银发经济发展10月社会委
6抢抓国家建设西部陆海新通道战略机遇,打造川渝大宗商品资源配置枢纽11月外侨民宗委
7建设国家战略腹地承载区重要支撑城市和关键产业备份基地情况12月经济委
"} {"image_path": "images/810c16189a5ec83420f1108552109459.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2000001444214金钱盒桔子10.00110.00
2000001582695小龙眼28.00128.00
2230291003109夏果136.00.31042.16
2203271003109正味玉林瓜子45.800.31014.20
2136179006227进口香蕉7.960.6224.95
2000001046005购物袋大号0.3010.30
"} {"image_path": "images/7e9cfee45918b3e4a4d811e013e9ac60.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Coke. Oreroasted,Flux.Metal.$ \\text{Total.} $
No. 1. No. 2.No. 3.
t. c.t. c. q.t. c. q.t. c.t. c.t. c.t. c.
From 4 Nov. to 2Dec. 1832406379 265 5102 156255 10 200 5
From 24 Feb. to 23March, 1833458 8389 6 164 7 1116 103152 10 200
From 24 Mar. to 23April, 1833476 4427 14 153 19 1121 1036 1062220
1340 121166 2 2183 11 2340 15129 10170640 5
Loss in Ore797 8
Crude Ore1993 10 2Pressure of air, $2 \\frac{3}{4}$ lbs.
"} {"image_path": "images/199f92ec4c5cbf4ca021f57f416e7040.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ProductSourceYearAge group Allages %totalsales
121314151617181920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980+
72 2 TC6.39.710109.66.48.974%T
74 2 TC6.69.811119.66.39.175%T
76 2 TC5.99.19.5109.16.28.575%T
78 2 TC 4.97.89.29.59.45.78.276%T
80 2 TC4.57.19.19.08.75.37.477%T
82 2 TC3.86.76.97.87.75.16.679%T
84 2 TC3.66.16.57.27.04.45.978%T
"} {"image_path": "images/2aac40bfac84c37930dc9ee89432b4da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品种(系)芽长芽鲜重芽干重根长根鲜重根干重
与Bintje作差与 Maine-chip作差 与Bintje作差与 Maine-chip作差 与Bintje作差与 Maine-chip作差 与Bintje作差与 Maine-chip作差 与Bintje作差与 Maine-chip作差 与Bintje作差与 Maine-chip作差
71-3$-19.35^{*}$-15.11-12.600.163.697.761.001.960.412.215.6920.25*
540-19.8414.0816.0428.81**19.0223.08*-0.950.0110.9812.78-0.1114.44
520-1$-16.29^{*}$-12.052.8615.626.9411.00-1.67-0.715.687.494.8619.42*
354-1$-23.69^{* *}$-19.46*$-26.43^{* *}$-13.66-8.13-4.06-6.88-5.938.9910.79-17.54-2.99
30-1$-19.15^{*}$-14.911.9214.68$21.49^{*}$$25.56^{* *}$-8.75-7.795.196.99-6.647.92
270-2$-25.86^{* *}$-21.63**$-28.17^{* *}$-15.41-3.910.15-10.20-9.24-10.42-8.61-29.26**-14.71
188-1$24.23^{* *}$28.47**55.28**68.04**$59.34^{* *}$$63.41^{* *}$49.33**50.29**16.45*18.25*17.3431.89**
478-1$-18.86^{*}$-14.62-17.71-4.95-4.96-0.89-0.790.17$44.79^{* *}$46.60**-14.340.22
306-1$-19.31^{*}$-15.07$-24.10^{*}$-11.34-9.75-5.68-6.47-5.51-1.95-0.14-26.78**-12.23
507-1$-23.57^{* *}$-19.33*$-25.45^{* *}$-12.68-7.77-3.70-9.09-8.1310.7812.59-6.797.76
275-2$-20.67^{*}$-16.44*-16.46-3.701.745.8011.0011.962.854.66-15.29-0.74
187-213.45$17.69$ *16.8729.63**22.26*26.33*$20.90^{* *}$$21.86^{* *}$2.494.29-14.510.04
592-3$-20.87^{*}$-16.63*-17.25-4.48-0.663.41-4.39-3.43-7.32-5.52-20.26*-5.51
498-1$-18.76^{*}$-14.52-14.28-1.515.819.87-5.30-4.35$16.33^{*}$18.13*4.65$19.20^{*}$
Bintje0.004.240.0012.760.004.070.000.960.001.800.0014.55
9-3$-18.17^{*}$-13.93-15.61-2.85-7.22-3.16-0.710.2410.0811.88-6.757.80
Mainechip-4.240.00-12.760.00-4.070.00-0.960.00-1.800.00-14.550.00
412-1$-17.99^{*}$-13.752.3715.132.456.5213.9914.95*9.7711.573.63$18.18^{*}$
324-2$-23.16^{* *}$-18.92*$-26.31^{* *}$-13.54-8.02-3.95-9.18-8.23-7.87-6.07-13.141.41
138-1$-23.39^{* *}$-19.15*-21.90*-9.132.546.60-8.49-7.534.236.03-11.543.02
353-1$-16.23^{*}$-12.000.7613.528.9012.96-6.76-5.80$26.19^{* *}$28.00**2.2116.76
276-1$-20.04^{*}$-15.80-9.613.151.925.99-1.78-0.82$31.00^{* *}$$32.80^{* *}$ -4.3610.19
$L S D_{0.05}=15.88$$L S D_{0.05}=18.46$$L S D_{0.05}=20.54$$L S D_{0.05}=14.09$$L S D_{0.05}=15.82$$L S D_{0.05}=17.64$
$L S D_{0.01}=20.92$$L S D_{0.01}=24.32$$L S D_{0.01}=27.06$$L S D_{0.01}=18.59$$L S D_{0.01}=20.84$$L S D_{0.01}=23.24$
"} {"image_path": "images/dc8f4d9f9f9b3947c76716a6ae523e75.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
system% root-mean-squaredev of both K'sreference
modi-fiedChao-seader RKJZ(optimum$~~~C_{ij}$)
$H_{2}$ Binaries
toluene12.26.1 (0.31)Simnick et al.(1978b)
m-xylene10.54.8 (0.32)Simnick et al.(1979a)
tetralin13.86.7 (0.25)Simnick et al.(1977)
1-methyl-naphthalene13.95.1 (0.18)Yao et al.(1977/1978)
diphenyl-methane16.95.0 (0.22)Simnick et al.(1978a)
bicyclohexyl17.76.1 (0.42)Sebastian et al.(1978c)
m-cresol8.93.6 (0.29)Simnick et al.(1979a)
quinoline10.72.8 (0.27)Sebastian et al.(1978a)
thianaphthene11.63.6 $(0.21)^{a}$Sebastian et al.(1978b)
Methane Binaries
benzene26.37.1 (0.06)Lin et al.(1979)
toluene23.96.9 (0.07)Lin et al.(1979)
m-xylene36.94.5 (0.06)Simnick et al.(1979c)
tetralin19.74.8 (0.10)Sebastian et al.(1979)
1-methyl-naphthalene15.94.8 (0.09)Sebastian et al.(1979)
diphenyl-methane15.43.5 (0.08)Sebastian et al.(1979)
m-cresol34.34.1 (0.12)Simnick et al.(1979c)
quinoline17.54.4 (0.10)Simnick et al.(1979b)
"} {"image_path": "images/199f92ec4c5cbf4ca021f57f416e7040.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Product
Source
Year
Age group All
ages
%total
sales
121314151617181920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980+
72 2 TC6.39.710109.66.48.974%T
74 2 TC6.69.811119.66.39.175%T
76 2 TC5.99.19.5109.16.28.575%T
78 2 TC 4.97.89.29.59.45.78.276%T
80 2 TC4.57.19.19.08.75.37.477%T
82 2 TC3.86.76.97.87.75.16.679%T
84 2 TC3.66.16.57.27.04.45.978%T
"} {"image_path": "images/09a9533b3ec56c2d6894e31c632e2344.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Countries No. ofmoviesMeansStandard deviations of means Table ${III}$.Country-specificmeans and standarddeviation
DVD sales(1,000 units)Time intervals(days)Box officerevenue(millions)DVD sales(1000 units)Time intervals(days)Box officerevenue(millions)
Germany5766.5873.9710.99115.2676.6013.38
Australia4262.4165.756.8384.5568.535.93
Japan34139.5267.9322.89192.3670.0527.28
UK75330.3776.1012.99501.6087.9319.66
USA104375.1666.4374.61407.6772.4380.08
France37143.46106.512.20183.46122.1911.66
"} {"image_path": "images/92443c329bc02e4b8853137cc09b8e5a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
顺慶區保寧區重慶區產區
西充南充等縣䦘中南部等縣合川大河坝璧山等縣附屬地
四、◯◯◯四、◯◯◯二、◯◯◯蠶絲產量#增#
"} {"image_path": "images/46f82e82ae0a9956efa96936135020ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$x_{\\text {in }}=0.1$$\\alpha=200$$P_{\\text {out }}($ bar)100150200
Optimum values
S$\\theta$$\\psi$$P^{\\prime}$$P^{\\prime\\prime}$$E_{1}$$E_{2}$E$P^{\\prime}$$P^{\\prime\\prime}$$E_{1}$$E_{2}$E$P^{\\prime}$$P^{\\prime\\prime}$$E_{1}$$E_{2}$E
1.5760.089$1.0 \\mathrm{E}-04$5.1$5.1 \\mathrm{E}-04$1.54.55.96.10.0011.54.96.47.00.0011.55.36.8
1.5850.089$5.0 \\mathrm{E}-04$2.5$1.2 \\mathrm{E}-03$0.73.64.32.90.0010.74.04.73.40.0020.74.35.0
1.5960.089$ 1.0\\mathrm{E}-03 $1.8$1.8 \\mathrm{E}-03$0.43.23.72.10.0020.43.64.02.40.0020.43.94.3
"} {"image_path": "images/5d0232c3eb1d309d89a09d4f1ddc1e75.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
八三一二九二二九八三一二八二二八八三一二七二二八八三一二六二二八二五八三一年月日
三二六·四〇〇·〇〇〇三三八·一〇〇·〇〇〇三三九·八〇〇·〇〇〇三三一·五〇〇·〇〇〇三三八·二〇〇·〇〇〇三三四·九〇〇·〇〇〇三三六·六〇〇·〇〇〇三三八·三〇〇·〇〇〇三四〇·〇〇〇·〇〇〇现負數
111111期次
一·七〇〇·〇〇〇一·七〇〇·〇〇〇一·七〇〇·〇〇〇一·七〇〇·〇〇〇一·七〇〇·〇〇〇一·七〇〇·〇〇〇一·七〇〇·〇〇〇一·七〇〇·〇〇〇一·七〇〇·〇〇〇還本數
九·七九二·〇〇〇九·八四三·〇〇〇九·八九四·〇〇〇九·九四五·〇〇〇九·九九六·〇〇〇一〇·〇四七·〇〇〇一〇·〇九八·〇〇〇一〇·一四九·〇〇〇一〇·二〇〇·〇〇〇付息數
一一·四九二·〇〇〇一一·五四三·〇〇〇一一·五九四·〇〇〇一一·六四五·〇〇〇一一·六九六·〇〇〇一一·七四七·〇〇〇一一·七九八·〇〇〇一一·九四九·〇〇〇一一·九〇〇·〇〇〇本息總數
"} {"image_path": "images/92443c329bc02e4b8853137cc09b8e5a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
顺慶區保寧區重慶區產區
西充南充等縣䦘中南部等縣合川大河壩璧山等縣附屬地
四、◯◯◯四、◯◯◯二、◯◯◯蠶絲產量(增)
"} {"image_path": "images/77d5289be3c0fa7a0af2c2f101869141.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ПодгруппыНекоторые показатели антиоксидантного система(М ± Т)
$ \\begin{gathered} \\text { AOA } \\\\ \\text { (усл.ед) } \\end{gathered} $$ \\begin{gathered} \\text { сод } \\\\ \\text { (усл.ед) } \\end{gathered} $ a-TΦ(мкг/мл)Каталаза(усл. ед.)
$ \\text{Здоровые, п=15} $$0,703 \\pm 0,008$$180,1 \\pm 2,86$$17,04 \\pm 0,26$$12,35 \\pm 0,23$
1.1. AA, неразвер.вариант, п-15$ \\begin{array}{c}0,684 \\pm 0,003 \\\\ a^{*} \\end{array} $181,9±6,43$15,95 \\pm 0,16$12,39±0,49
1.2. АА, интермет.течение, п=5$0,665 \\pm 0,003$a**184,0±4,0816,02+0,35a*$12,24 \\pm 0,12$
1.3. AA, легкое персистечение, п=5$0,668 \\pm £>,002$a**, e*180,4±7,5416,09+0,24a*$ \\begin{array}{l}\\text { 12,87 \\pm 0,28 } \\\\ \\text { B* }\\end{array} $
1.4. AA,среднее течение,п=15Обостр.0.633±0.006########$ \\begin{gathered} 165,7 \\pm 5,6 \\\\ a^{*}, \\#\\kappa^{*} \\end{gathered} $$15,08 \\pm 0,28$Д* p$H^4$$ \\begin{array}{l}10,73 \\pm 0,31 \\\\ \\mathrm{a}^{*}, \\mathrm{~f}^{*}\\end{array} $
PeMHCc.0,656±0,008#######173,7±2,52$\\mathrm{r}^{*}$15,64±0,33a*$ \\begin{array}{c}\\\\ 11,3\\pm 0,23\\\\ a^{*},B^{*},\\Gamma^{*}\\end{array} $
1.5. AA,тяжелое тече-ние,п=15Обостр.0,527±0,013#######154,9+6,71a*$14,12+0,34$######$ \\begin{array}{c}9,73 \\pm 0,35 \\\\ H^{4} \\mathrm{pH}^{4}\\end{array} $
Ремисс.$0,635 \\pm 0,015$#######$163,0 \\pm 4,04$a*, $\\Gamma^{*}$$15,19 \\pm 0,36$a*, b* $10,25\\pm 0,31$Д$H^4$ p$H^4$
2.1. ABA,JERKoe TecheHce,п=12Обостр.0,673±0,002a*,б**,π*$ \\begin{array}{c}\\\\ 190,5\\pm 3,19\\\\ a^{*},6^{*}\\end{array} $$ \\begin{array}{c}15,98 \\pm 0,19 \\\\ a^{*}, \\pi^{*}\\end{array} $11,94±0,22Д*
Ремисс.$ 0,687 \\pm 0,003 $179,1+3,276*16,14±0,19a*12,21±0,23Д*
2.2. ABA,среднее течение,п=12Обостр.0,66510,001a*,б*, д*,ж**$ \\begin{array}{c}\\\\ 189,4\\pm 4,19\\\\ \\text{ж*},6^{*}\\end{array} $15,3±0,27a*, b*, d*11,09 $\\pm 0,29$a*, Д*
Ремисс. 0,671±0,002a*,b*, J*,Ж**$175,9 \\pm 3,54$$6^{*}$16,1±0,27a*, 6*11,41±0,27a*, Д*
"} {"image_path": "images/d44628e27211dfa09651f0c53c14ace1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 3 Continued
VariablesAllYearP fortrend*
2006200720082009201020112012201320142015
SEP-NOV17.116.917.117.717.217.116.517.217.517.116.5
DEC-FEB35.734.435.735.734.235.435.837.035.936.235.6
Weekend0.083
Weekday70.469.370.170.270.270.770.171.070.270.870.5
Weekend29.630.729.929.829.829.329.929.029.829.229.5
Hour of the event0.000
0-5 hour14.815.514.714.815.215.314.915.214.514.514.4
6–11 hour32.430.731.031.331.632.132.632.433.133.033.5
12-17 hour28.527.628.428.728.927.928.628.928.528.728.4
18–23 hour24.326.225.925.324.324.724.023.423.923.823.7
Level of EMT<0.001
Level 169.850.253.750.653.255.973.273.080.184.688.8
Level 225.233.834.841.140.338.023.723.016.213.410.4
Level 35.016.011.48.36.66.13.04.03.72.00.8
No of ambulance crew<0.001
112.636.729.217.110.916.36.610.113.67.02.9
268.550.754.672.977.171.970.668.565.970.468.6
319.012.616.39.911.911.822.821.320.622.628.5
Response time interval<0.001
0-3 min8.013.111.49.98.78.99.07.57.26.54.0
4-7 min51.855.156.354.753.654.253.853.750.349.144.5
8–11 min24.719.920.322.223.622.422.623.524.927.332.1
12-15 min8.86.66.47.17.78.08.38.49.810.011.8
15 min6.85.35.66.16.56.56.36.87.77.17.7
Scene time interval<0.001
0-3 mi16.732.030.429.224.822.018.314.99.58.22.4
4-7 min36.940.040.441.441.742.741.238.536.235.421.2
8-11 min26.917.217.718.521.122.024.827.332.232.139.1
12-15 min11.76.17.16.77.58.49.712.313.915.020.2
15 min7.84.74.54.24.94.96.17.08.29.317.1
"} {"image_path": "images/73ded717bbe97f5fd08259b4c8e63350.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
培训教材电子商务下的物流运作培训电子文件编码
粤园员原园猿原园圆
一.电子商务对物流工作有什么形响企业物流活动要求以正确的质量水平,在正确的时间将正确的产品交付到正确的地点:利用电子商务进行物流工作的目标是实现产供销一体化,通过电子商务有关技术使得商品的生产商、零售商通过###随联系在一起,使企业及时了解产品销售信息,并按照信息组织对产品生产和对零售商的供货,从而提高服务水平,降低物流活动的成本,并使库存水平降到最低,提高企业的经济效益。##电子商务对物流理念的影响把电了商务作为商业竟争环境时,它对物流理念的影响可以从以下几个方面来理解:(员物流系统中的信息变成了整个供应链运营的环境基础网络是平台,供应链是主体,电了商务是手段。信息环境对供应链的一体化起着控制和主导的作用。(圆企业竟争--以外联网为代表的企业联盟竞争网上竞争的直接参与者将逐步减少。更多的企业将以其商品或服务的专业化比较优势,参加到以核心企业——或有品牌优势,或有知识管理优势为龙头的分工协作的物流体系中去,在更大的范围内建成一体化的供应链,并作为核心企业组织机构虚拟化的实体支持系统。供应链体系在纵向和横向的无限扩张可能性,将对企业提出要么是更广泛的联盟化,要么就是更深度的专业化。显然,在电子商务的框架内,联盟化和专业化是丘为表里并统一在物流一休化体系之中的。(猿企业拥有的物质资源优势——调动、协调、整合社会资的优势企业竞争将是以物流系统为依托的信息联照或知识联盟的竞争,物流系统的管理也从对有形资产存货的管理转为对无形资产信息或知识的管理。(瀛物流系统的基本问题--有效分配信息资源
"} {"image_path": "images/ad73fa3a96d789a82e81a4bac4270d69.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$T_{68}{/}K$$P/ MN~m^{-2}$$T_{68}/K$$P/ MN~m^{-2}$$T_{68}/K$$P/ MN~m^{-2}$$T_{68}/K$$P/ MN~m^{-2}$
650.01741850.229061051.08451222.7764
0.017400.228921.08462.7757
0.228951.08452.7754
660.020640.228801.08432.7755
700.03860900.361081101.46711243.0601
0.038580.360801.46713.0593
0.360781.46693.0586
750.07613950.541241151.93911263.3678
0.076110.541031.93913.3672
0.541061.93873.3667
770.097201000.779161202.5138
0.779112.5131
800.136990.779032.5126
0.136862.5132
"} {"image_path": "images/17a30e251afa68bba3215b0871916a7c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
q=2q=3q=4q=5q=6
MAT.IND.1 2121 2 312231 2 3131231 2 3 41223341 23 41412412341 2 3 4 5122334451 2 3 4 5151251235123451 2 3 4 5 612233445561 2 3 4 5 616126123612346123456
p=2MIMMIMMIMMIMMIM$ \\begin{array}{rll}\\alpha^{\\prime}\\text { s: } \\\\ 1 & 0 & 1 & 1 & 0 \\\\ 0 & 1 & 0 & 1 & 1 \\\\ \\beta^{\\prime}\\text { s: } \\\\ 1 & 1 & 1 & 0 & 0 \\\\ 1 & 0 & 0 & 1 & 0 \\\\ 1 & 0 & 1 & 0 & 1\\end{array} $$ \\begin{array}{l}\\alpha^{\\prime}\\text { s: } \\\\ 1 \\quad 1 \\quad 0 \\quad 1 \\quad 0 \\\\ 0 \\quad 1 \\quad 1 \\quad 0 \\quad 1 \\\\ \\beta^{\\prime}\\text { s: } \\\\ 1 \\quad 1 \\quad 1 \\quad 0 \\quad 0 \\\\ 1 \\quad 0 \\quad 0 \\quad 1 \\quad 0 \\\\ 1 \\quad 0 \\quad 1 \\quad 0 \\quad 1\\end{array} $MIMMIM
p= 3MIMMIM$ \\left|\\begin{array}{c}\\alpha^{\\prime} \\mathrm{s}: \\\\ 1 \\quad 2 \\quad 2 \\\\ \\beta^{\\prime} \\mathrm{s}: \\\\ 1 \\quad 1 \\quad 0 \\\\ 1 \\quad 0 \\quad 2\\end{array}\\right| $MIMMIMMIM$\\begin{array}{c}\\alpha^{\\prime} \\mathrm{s}: \\\\ \\beta^{\\prime} \\mathrm{s}: \\\\ \\text { also } \\\\ \\alpha^{\\prime} \\mathrm{s}: \\\\ 1 \\quad 0 \\quad 2 \\quad 2 \\quad 1 \\\\ 1 \\quad 1 \\quad 0 \\quad 2 \\quad 0 \\\\ \\beta^{\\prime} \\mathrm{s}: \\\\ 1 \\quad 0 \\quad 0 \\quad 1 \\quad 0 \\\\ 0 \\quad 1 \\quad 0 \\quad 0 \\quad 1 \\\\ 1 \\quad 0 \\quad 1 \\quad 0 \\quad 1\\end{array}$
p=5$\\begin{array}{c}\\alpha^{\\prime} \\mathrm{s}: \\\\ 1 \\quad 3 \\\\ \\beta^{\\prime} \\mathrm{s}: \\\\ 1 \\quad 3 \\ \\\\ \\end{array}$$\\begin{array}{c}\\alpha^{\\prime} \\mathrm{s}: \\\\ 1 \\quad 4 \\quad 2 \\\\ \\beta^{\\prime} \\mathrm{s}: \\\\ 1 \\quad 2 \\quad 0 \\\\ 1 \\quad 0 \\quad 1\\end{array}$MIMMIMMIM
p=7MIM$\\begin{array}{c}145 \\\\ \\beta^{\\prime} s \\\\ 105 \\\\ 133\\end{array}$MIM
"} {"image_path": "images/c1f95b7f91d166f497c9c80eed166e9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
变速箱型式最高车速(km/h)最小转向圆 直 径(m)最小离地间隙(mm)最 大爬坡度(%)使用燃油耗(L/t·100km)生 产 企 业
4+1 机械式≤50≤11.0≥200≥25≤2.8至喜集团
4+1 机械式≤50≤11.0≥200≥25≤2.8至喜集团
4+1 机械式≤50≤11.0≥200≥25≤2.8至喜集团
4+1 机械式≤50≤11.0≥200≥25≤2.8至喜集团
4+1 机械式≤50≤11.0≥200≥25≤2.8至喜集团
4+1 机械式47≤11.0≥200≥25≤2.8至喜集团
4+1 机械式47≤11.0≥200≥25≤2.8至喜集团
4+1 机械式≤50≤11.0≥200≥25≤2.8至喜集团
4+1 机械式≤50≤11.0≥200≥25≤2.8至喜集团
4+1 机械式47≤11.0≥200≥25≤2.8至喜集团
4+1 机械式47≤11.0≥200≥25≤2.8至喜集团
4+1 机械式48≤11.0≥180≥25≤2.8至喜集团
4+1 机械式48≤11.0≥200≥25≤2.8至喜集团
4+1 机械式47≤11.0≥200≥25≤2.8至喜集团
4+1 机械式47≤11.0≥200≥25≤2.8至喜集团
4+1 机械式≤50≤11.0≥200≥25≤2.8至喜集团
4+1 机械式47≤11.0≥200≥25≤2.8至喜集团
4+1 机械式47≤11.0≥200≥25≤2.8至喜集团
4+1 机械式≤50≤11.0≥200≥25≤2.8至喜集团
4+1 机械式46.9≤9.0≥200≥20≤2.8至喜集团
4+1 机械式48≤9.0≥185≥20≤2.8至喜集团
4+1 机械式48≤9.0≥185≥20≤2.8至喜集团
4+1 机械式48≤9.0≥180≥20≤2.8至喜集团
4+1 机械式≤50≤9.0≥185≥20≤2.8至喜集团
4+1 机械式47≤9.0≥185≥20≤2.8宜昌猴王汽车工业有限责任公司
4+1机械式47≤9.0≥185≥20≤2.8宜昌猴王汽车工业有限责任公司
4+1机械式≤50≤11.0≥200≥25≤2.8宜昌猴王汽车工业有限责任公司
4+1机械式≤50≤11.0≥200≥25≤2.8宜昌猴王汽车工业有限责任公司
4+1机械式≤50≤11.0≥200≥25≤2.8宜昌猴王汽车工业有限责任公司
4+1机械式≤50≤11.0≥200≥25≤2.8宜昌猴王汽车工业有限责任公司
4+1机械式≤50≤11.0≥200≥25≤2.8宜昌猴王汽车工业有限责任公司
4+1 机械式≤50≤11.0≥200≥25≤2.8湖北拖拉机厂
4+1 机械式≤50≤11.0≥200≥25≤2.8湖北拖拉机厂
4+1 机械式≤50≤11.0≥200≥25≤2.8湖北拖拉机厂
4+1 机械式≤50≤11.0≥200≥25≤2.8湖北拖拉机厂
4+1机械式49.0≤9.0≥185≥20≤2.8湖北拖拉机厂
4+1 机械式47.7≤9.0≥185≥20≤2.8湖北拖拉机厂
4+1机械式≤50≤11.0≥200≥25≤2.8荆州农用运输车厂
4+1机械式≤50≤11.0≥200≥25≤2.8荆州农用运输车厂
4+1 机械式≤50≤11.0≥200≥25≤2.8荆州农用运输车厂
4+1机械式≤50≤11.0≥200≥25≤2.8荆州农用运输车厂
4+1 机械式≤50≤11.0≥200≥25≤2.8荆州农用运输车厂
4+1 机械式≤50≤11.0≥200≥25≤2.8荆州农用运输车厂
4+1 机械式≤50≤11.0≥200≥25≤2.8荆州农用运输车厂
4+1 机械式≤50≤11.0≥200≥25≤2.8荆州农用运输车厂
4+1 机械式≤50≤11.0≥200≥25≤2.8荆州农用运输车厂
4+1 机械式≤50≤9.0≥185≥20≤2.8荆州农用运输车厂
4+1 机械式≤50≤9.0≥185≥20≤2.8荆州农用运输车厂
4+1 机械式≤50≤9.0≥185≥20≤2.8荆州农用运输车厂
4+1 机械式≤50≤9.0≥185≥20≤2.8荆州农用运输车厂
"} {"image_path": "images/c9f723937724d199227c729cba27b518.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$早_匀$辕蕴·(皂蚤灶·皂)$^{原员}$]$孕_凿$辕酝孕葬α 越$早_缘$辕$早_匀$突出危险性
< 缘圆园>$早_缘$≥ 缘< 园援园苑≥ 园援园苑> 园援苑缘无危险无危险
圆园>$早_缘$≥ 缘≥圆园≥ 园援园苑≥ 园援圆缘≤ 园援苑缘有危险有危险
"} {"image_path": "images/bb924bf29ecb1c47d94fa562b5c1c575.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
######## #### ######## ###### ########### ASPARACOS BEETS POTATOES MISC
how 'Bout:wheat berrieswith kale, feta,sliced almonds& pomegran-ate seedsA Farrotto forAll Seasons(page 50)with Corn &TomatoesA Farrotto forAll Seasons(page 50) withButternutSquash &Crispy Sagehow 'Bout:roasted friedcauliflower(with chiliflakes andparm) onquinoa with aSeven-MinuteEgg, page 197A Farrotto forAll Seasons(page 50) withMushrooms &Asparagushow 'Bout:farro withbeets, dill &fetaCider-BraisedCabbageWedges withPolenta,page 59
Quinoa withRoasted WinterVegetables,page 61
Artichoke DipPizza, page 37Zucchini Pizza,page 38how 'Bout:pizza withroastedcauliflower,tomatoes &oliveshow 'Bout:pizza withpaper-thinslices ofpotatoes,cheddar &thyme orrosemaryCobb SaladPizza, page 40
Our FavoriteKale Saladwith Almonds& DriedCranberries,page 174Tomato-NectarineSalad,page 186how 'Bout:arugula saladwith roastedbutternutsquash, lentils,feta & candiedwalnuts orpecansStrawberry-Feta Saladwith Beets& Beans,page 70
Tomato Saladwith Avocado-Basil Dressing,page 186ChoppedBroccoliniSalad withDill & Feta,page 173
how 'Boutclassicheirloomtomatosandwicheshow 'Bout:ricotta toastswith asparagus& chili oil
how 'Boutasparagus tarton puff pastry
"} {"image_path": "images/2971231dc141684bd9ad712252aa9467.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
教学环节教师环节学生环节
气旋与反气旋【承传】……。【展示】“半半球低压(气旋)的形成及其天气示意图”。提出问题:①天气状况?②……?循序渐进引导学生在低压场中分析,自己得出结论。【小结】略。【动手画一画】请同学们画出南半球的气旋和南北半球的反气旋示意图(教师针对画图中的问题进行有针对性的指导)。规律总结:略。【展示】思考回答动手绘图合作填表
类型气压中心气流运动方向天气情况
水平运动垂直运动
气旋
反气旋
【小结】我们常见气旋和反气旋如台风天气就是热带气旋强烈发展形成的、北方秋季秋高气爽的天气、长江中下游地区7月份出现的伏旱天气、两极地区的极地高压等都是反气旋及其控制下形成的天气。【展示】多媒体展示典型例题,学生思考,教师点评。
自我评价做学案自我评价题目,教师巡视做题,汇报答案
锋面气旋【承转】……。【展示】北半球锋面气旋示意图(补充高压脊、低压槽知识)。问题:①确定甲、乙、丙、丁四点的风向;②确定甲、乙、丙、丁四点的空气性质(冷气团或暖气团);③判断甲、乙与丙、丁两处锋面的类型。小组讨论、回答问题
课堂小结通过本节课,你学到了什么?①知识小结;②掌握的学习方法。回忆总结
课堂练习布置学案上的作业结合所学知识,完成作业
课后活动①收看近期天气预报,分析我们这里天气的变化趋势。②根据所学的锋面和气旋、反气旋的知识,模仿天气预报员对天气形势作出预报。
"} {"image_path": "images/a9a824903fb068835b6de5a47dbc0fba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Tالمجموعة الضابطةالمجموعة التجريبيةوحدةالقياسالمتغيرات
انحرافمتوسطانحرافمتوسطالأداء المهاري
٠,٤٠١١,٣٦٧١,٨٣١١,٣٩٣٢,٠٠٠درجةالمسكنات
٠,٤٧٤_١,٦٠١٥,٤٨٨١,٩٦٧٥,٢١٩درجةالسقطة الخلفية
٠,٢٩١_١,٧٨٩٤,١٣٦٢,٤٤٦٣,٩٣٨درجةالسقطة الجانبية يمين
٠,٢٩١١,٨٩٤٣,٩٦٨٢,٢٨٠٤,١٦١درجةالسقطة الجانبية شمال
١,٨٠٥١,٧٥,٤٥,٣٣٥١,٣٨٨٦,٦١٣درجةالسقطة الأمامية
١,٨٩٣_١,٤٤٨٢,٣٩٤٠,٨٥٨١,٦٨١درجةالسقطة الأمامية الدائرية اليمنى
١,٥٣٣_\t١,٥٥٦\t١,٩٨١٠,٧٨٧١,٣٨٨درجةالسقطة الأمامية الدائرية اليسرى
"} {"image_path": "images/15535a7678bd9e3bdb79d835e08671fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
70-420VIII - Sect u1ympio End1.
12 - H.oIympicum L.55p·auriculatum Robson et Hub.-Mor. 18$\\text{C}_3$ AntaIya :
6e-333route de Manavgat a Akseki,foret de Pinus brutia70-59
"} {"image_path": "images/e22d71a63101c6efbb8e63ccd93cb9b5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
新竹市基隆市高雄市台中市
三五年三月册一日三五年三月二四日三五年三月二四日
二〇一九二二一九
1
合計屏東市彰化市嘉義市
三五年三月一五日三五年三月二四日三五年三月二四日
四六〇一九一九一九
六三11
共計五二三名▪
"} {"image_path": "images/a9a824903fb068835b6de5a47dbc0fba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Tالمجموعة الضابطةالمجموعة التجريبية القياس وحدةالمتغيرات
انحرافمتوسطانحرافمتوسط
٠,٤٠١١,٣٦٧١,٨٣١١,٣٩٣٢,٠٠٠درجةالمسكناتالأداء المهاري
٠,٤٧٤_١,٦٠١٥,٤٨٨١,٩٦٧٥,٢١٩درجةالسقطة الخلفية
٠,٢٩١_١,٧٨٩٤,١٣٦٢,٤٤٦٣,٩٣٨درجةالسقطة الجانبية يمين
٠,٢٩١١,٨٩٤٣,٩٦٨٢,٢٨٠٤,١٦١درجةالسقطة الجانبية شمال
١,٨٠٥١,٧٠٤٥,٣٣٥١,٣٨٨٦,٢١٣درجةالسقطة الأمامية
١,٨٩٣_١,٤٤٨٢,٣٩٤٠,٨٥٨١,٦٨١درجةالسقطة الأمامية الدائرية اليمنى
١,٥٣٣_ ١,٥٥٦ ١,٩٨١٠,٧٨٧١,٣٨٨درجةالسقطة الأمامية الدائرية اليسرى
"} {"image_path": "images/4ebd07f79cdc03741aa5e295858e1a8c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
种 类编 号 尺 寸标 高
罐 底 类 型____________________拱 顶 高____________________
监 测 员____________________测 量 员____________________
"} {"image_path": "images/15535a7678bd9e3bdb79d835e08671fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
70-420VIII - Sect u1ympio End1.18
12 - H.oIympicum L. 55p·auri
culatum Robson et Hub.-Mor.
$\\text{C}_3$ AntaIya :
6e-333route de Manavgat a Akseki,
foret de Pinus brutia
70-59
"} {"image_path": "images/56e940b0a980e137d3a710149310d7c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ntle
nce I ____ for You\"
rning moisture
mbo vegetable
ion ingredient
icist Gershwin
oor garden
le of respect
con composition
aded
s or Lakers
ther fish ____ fow
reme
erry seed
serve
opery surface
stralian bird
nal
ored
cadillo
igation
on
lunker's interest
rt or Siskel
#
t
ry
spots
urate
urch response
oke
"} {"image_path": "images/bc2f41cd820e032258558f20a05a2d92.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
同位素半衰期T$\\gamma$ 量子能量hv (兆电子伏)每 100次 蜕变产生的$\\gamma$量子数ni$ \\gamma 常数 $K_{\\gamma} i $$\\gamma$ 常数总值$K_{Y}$ (伦/小时)1 居里 $\\gamma$ 放射量 $m$ (克鐳当量)分类
$Ga^{88} $1.13小时0.09263.90.275.710.683
0.0902.70.01
1.1010.90.64
0.511705.07
$ \\text{Ga}^{72} + \\\\\\text{Ga}^{72m} $14.3 小时2.51262.8313.471.60A
2.21333.34
1.8780.71
1.5950.39
1.2020.130
1.0550.28
0.841004.83
0.6820.08
0.63240.88
$Ga^{78} $5小时0.0541000.360.360.043A
0.014100
$Ga^{69} $1.65天1.615.50.448.270.99Б,Γ
1.3410.07
1.1293.55.52
0.7610.040
0.585.50.19
0.4010.023
0.095.50.023
0.51661.97
$Ga^{72m} $$2.9 \\cdot 10^{-7}\\,\\text{秒}$0.841004.834.830.58Ж
$Ga^{77m} $59秒0.38501.111.110.13Б
$As^{71} $2.58天0.511985.906.800.81A,3
0.1751000.90
0.0231
$ \\text{As}^{78}$26小时0.841004.8310.791.28$\\text{Д}, \\text{З} $
0.512005.95$ \\text{и} $
$ \\text{As}^{78}$76天0.05391000.3560.3560.042Б
0.0135100
$ \\text{As}^{74}$17.82天0.635260.965.210.62Б
0.59641.71.45
"} {"image_path": "images/b31323474fb9f9ec9cfddf80d30b828c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 代总督 (任职年月)巡抚 (任职年月)按察使 (任职年月)
光绪元年至三十四年(1875—1908年)刘坤一(1875.11879 1890 1896)吴元炳 (1875)勒 方锜 (1875.9)
黎培敬(1881.6)龚易 图 (1877.12)
沈葆桢(1875.9)卫荣光 (1882.1)德 馨(满1878.7)
彭玉麟(1881.8)崧 骏(满 1886.6)许 应鐿(1878.7)
左宗棠(1881.10刚毅( 满1888.11李 嘉 乐(1884.11)
张之洞(1894.111902.10)奎 俊(满 1892.51897.8)张 富 年(1886.6)
陈 钦铭(1888.9)
曾国荃(1884.12)赵舒翘(1895.4)使 英(1889.3)
魏光焘(1902.12)德 寿(满 1898.7)刘 树 堂(1889.5)
李兴锐(1904.10鹿 传霖(1899.7)张国正(1890.3)
周 馥(1904.10)松 寿( 满1900.9)陈 湜 (1890.12)
端 方(满1906.9)聂栞缉(1901.3)吴承潞(1895.9)
张人骏(1909.6)端 方( 满 1904.5 )陆元鼎(1898.7)
陆元鼎(1904.12)诚 勋(1901.2)
陈夔龙(1906.2)效 曾(1901.9)
张曾殷(1907.9)恩 铭(满1904.1)
陈启泰(1907.10)袁树勋(1905.9)
朱家宝(1906.2)
陆钟琦(1907.4)
瑞 澂(1907.12)
李经迈(1908:1)
宣统元年至三年(1908—1911年)张人俊(1909.6)陈启泰(1908-1909.6) 左孝同(1908.3一1911.8)
张勋 (1912.1)
瑞澂 (满1909.6)
宝 菜 ( 蒙 1909.11 )注:1910年按察使改称提法使
程德全(1910.4—1911.11)
"} {"image_path": "images/c7796cfe2afb2f15af7467ca6116b0fc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2552552550
$2^7$$2^6$$2^5$$2^4$$2^3$$2^2$$2^1$$2^0$$2^7$$2^6$$2^5$$2^4$$2^3$$2^2$$2^1$$2^0$$2^7$$2^6$$2^5$$2^4$$2^3$$2^2$$2^1$$2^0$$2^7$$2^6$$2^5$$2^4$$2^3$$2^2$$2^1$$2^0$
11111111111111111171111100000000
"} {"image_path": "images/65ef5c53b71d1e09a1da867cb735a3d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目结果人数系班认为师范生开心理学课认 为 心 理 学 是今 后 对 学 心 理 学 的 态 度
有必要可有可无无必要有兴趣的有兴趣的学了有益无趣味想多学点想多学点得到资料参加讲座差不多了不想学了
人数%人数%人数%人数%人数%人数%人数%人数%人数%人数%人数%
政 教454497.812.211243986.71942.22862.21942.236.7
艺 术2121100419178129.5628.6838.141914.8
外 语313096.813.217552787.12064.51238.7619.413.2
化 学383797.412.61231.63181.61847.48211539.537.9
数 学443988.64912.31227.33272.81329.62556.81227.34949
物 理424197.612.4716.73583.32354.82354.81433.349.537.1
中 文39391001333.32769.22564.12564.12256.425.112.6
体 育34339712.9411.82882.412.91955.91029.4926.525.925.9
总 计29428482.720.78027.223680.210.313947.313746.610535.7237.8113.7
"} {"image_path": "images/bf81303d02075cd0f9b14a62eafbfde8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Santa Luzia-Funchal1834-1835Médiamaximado arMédlamaximada radiagǎosolarMaximaforgada radiagǎosolar
Janeiro.........63,2322,5155
Fevereiro......64,7434,5051
Marco..........68,1948,4971
Abril..........70,4650,2087
Maio...........72,6053,1792,5
Junho……....73,1652,0890
Julho……....75,6055,4572
Agosto……...76,9365,7882
Selembro.......70,0054,6577
Outubro........73,0638,4462
Novembro…….68,7046,9073
Dezenmbro.......66,8032,7153
"} {"image_path": "images/b31323474fb9f9ec9cfddf80d30b828c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 代总督 (任职年月)巡抚 (任职年月)按察使 (任职年月)
光绪元年至三十四年(1875—1908年)刘坤一(1875.1
1879 1890 1896)
吴元炳 (1875)勒 方锜 (1875.9)
黎培敬(1881.6)龚易 图 (1877.12)
沈葆桢(1875.9)卫荣光 (1882.1)德 馨(满1878.7)
彭玉麟(1881.8)崧 骏(满 1886.6)许 应#(1878.7)
左宗棠(1881.10刚毅( 满1888.11李 嘉 乐(1884.11)
张之洞(1894.11
1902.10)
奎 俊(满 1892.5
1897.8)
张 富 年(1886.6)
陈 钦铭(1888.9)
曾国荃(1884.12)赵舒翘(1895.4)使 英(1889.3)
魏光焘(1902.12)德 寿(满 1898.7)刘 树 堂(1889.5)
李兴锐(1904.10鹿 传霖(1899.7)张国正(1890.3)
周 馥(1904.10)松 寿( 满1900.9)陈 湜 (1890.12)
端 方(满1906.9)聂椝缉(1901.3)吴承潞(1895.9)
张人骏(1909.6)端 方( 满 1904.5 )陆元鼎(1898.7)
陆元鼎(1904.12)诚 勋(1901.2)
陈夔龙(1906.2)效 曾(1901.9)
张曾殷(1907.9)恩 铭(满1904.1)
陈启泰(1907.10)袁树勋(1905.9)
朱家宝(1906.2)
陆钟琦(1907.4)
瑞 澂(1907.12)
李经迈(1908.1)
宣统元年至三年(1908—1911年)张人俊(1909.6)陈启泰(1908一1909.6) 左孝同(1908.3一1911.8)
张勋 (1912.1)
瑞澂 (满1909.6)
宝 菜 ( 蒙 1909.11 )注:1910年按察使改称提法使
程德全(1910.4—1911.11)
"} {"image_path": "images/927d3e2536744fcc7ea1dee8f655f5d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
规格(mm)(长×宽×厚)骨料性能指标
重量$(\\mathrm{kg} / 块)$表观密度$(kg/m^3)$空心率$(\\%)$抗压强度(MPa)
(1170、970、770、570、485、285>×880×200煤矸石267.7-40.93>15.0
225.939.95
180.539.95
133.839.18
118.536.62
78.228.92
(1170、970、770、570、485、295)×880<200煤矸石301135039.3≥18.0
24939.4
19739.4
15436.0
14131.0
8927.0
(1180、980、780、580。380、580、380)×280×200煤矸石266.733.9
218.439.4
161.739.5
13039.8
8540.5
3939.8
2640.5
(1180、980、780、680、485、380、280)×880×200沸腾沪渣240-48$5.5 \\sim 7.0$
200
165
130
100
80
60
(890、590、440、290)×240×385粉煤灰-1100-7.5
"} {"image_path": "images/b3d2acf0ad5d9264e5af168790b8bfe8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
II引水工程及河道工程
序号一级项目二级项目三级项目技术经济指标
渠 (管) 道工程
1x x ~ x x 段
干渠 ( 管 ) 工程
土方开挖元/$m^3$
石方开挖元/$m^3$
土石方回填元/$m^3$
土工膜元/$m^2$
模板元/m2
混凝土元/$m^3$
输水管道
砌石
抛石
钢筋
细部结构工程
2x x~x x 段支染( 管 )
工程
建筑物工程
1泵站工程
(扬水站、排灌站)
土方开挖元/$m^3$
石方开挖元/$m^3$
土石方回填元/$m^3$
模板元/$m^2$
混凝土元/$m^3$
砌石元/$m^3$
钢筋元/t
锚杆 ( 索 )元/根 ( 束 )
厂房建筑元/$m^2$
细部结构工程元/$m^3$
2水闸工程
土方开挖元/$m^3$
石方开挖元/$m^3$
土石方回填元/$m^3$
模板元/$m^2$
混凝土元/$m^3$
"} {"image_path": "images/c19269cab9a9984b4e31549d36fcd6f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
马茂公马西永马培珠马亮英张凤鹤张兰田黄茂森张文书
马乐章马儒荣马建功马泮江张友年孙培英张守智张顺儒
马高山马乐峰马道广马洪林张玉山
马维先马传文马冠学马泮芳[李王庄]王之然张金安张乐禹张金锡
马树行马玉顺马庆昌马万选张树檀张百康张汝义王纯修
马兴堂马树春马友能马芳亭[太平庄]马亭岗马普南马树棣
马庆先马元阶马秀亭马化合[刘家茅坨]夏江水刘世荣叶汝听刘清峰
马秀礼马玉香马德润马日松刘太峰王云生王云海刘道德
马桂林马福祥马桂芳马启孔[傅家茅坨]傅九升傅文彩傅绍胜李永年
马志盛戴云生马学群马玉芬傅金山傅洪笺刘道成
马日清马百龙马万农马三昌[邢家茅坨]高洪斋王学志陈培玉宫学义
马品香马西三许学孔马会水宫佺宫学尧邢伦修邢天成
马圣增马近堂马瑞符马绪礼邢玉彪邢乐滨邢明章邢永生
马述先马传治马道友马林寿贺相山贺法尧
马会堂马小香马万林马西符[马家茅坨]马省三李有道田云会马成之
马日俭马慎伦王德亭马龙江马士明马光兴郭光照马建
马培文马生贵马绳祖马烈光马新德
马万东马学忠马体孝马绪先道 口 乡
张之胜马益胜马正元马法林
马万宗马培林马贤香李法顺[央子]张子义
马法信马之伦马法汤马德明[陈家营]李同江陈国胜王云茂王兴林
马芳香马德志马常胜马学志王钦功王新春
刘树仁马体正马芳兴马蛟龙[李家营]李德成
马会之 马长春马新合 马全珠[李家湾]李传习李玉春
马贤文马学孟马茂祥马万祯[周家庄子]王信之王九章张佃九王路章
马俊马友堂马泮杰马树森[吴家庄子]吴隆之吴荣升吴德修周元忠
马仁义马慎修马会芬马丁一[北单]陈光三陈兴合单效冉单洪胜
马曰春马儒阶马维成马秀峰单光起单洪松单继庆单继身
马培芳马维顺马日秀 ( 女 )单光泉单洪文单连师单龙跃
马素兰 ( 女 )陈兴文单继顺单丰德单龙合
[马家庄]马家庄]马象太陈学英马泮俊陈献功单云成单中平单连元单连顺
陈福周于槐东马光和张守德单际升单麟生
陈连升陈佐周于郊东张志平[北陈家]陈佩玉
于振东张志正陈学良马成德[南单]徐文义单朋万单云风
刁士英张伯谦张象元王仲厚[宋家庄子]宋大路宋佃相宋举仁宋学文
王淑兰王森照王节亭宋振贤宋恒昌宋恒礼宋玉连
[辛庄]辛庄]宁儒德仉成九[孙家河南道口]孙洪福孙德玉孙桂芳
[纪家桥子]纪家桥子]王京堂王树三王其顺王树桐[东黑冢子]崔世明刘庆丰
王吉堂王桂堂王玉坦马新民[王家河南道口]王兴斌王恩举王洪鳌
蔺家庄蔺家庄]王洪柱马如岗马协圣张同山[东道口]孙兴仁孙来谦孙永才
蔺汉文蔺汉江郝寿川张立仁[齐家黑冢子]齐昌三齐玉茂齐连儒齐效信
蔺元福齐安邦杨丰乐杨明黄杨明皋
[张家庄]张家庄]刘培合李培良李成林刘培山[西道口]孙万玉孙益顺孙其美孙树勋
李培尧李成德李成福张洪奎孙炳成孙洪玉
张恩山张益田张公智马相坡[河西道口]孙月光孙敬臣孙明堂孙学义
马相圣马相山张公佐张基之孙西珍孙安仁
张慎之张梓春张子同张绥新[河北道口]孙桂欣孙明信孙明书孙庆贵
张建贞张宗儒张建训张录宫孙洪元
"} {"image_path": "images/af3f85d6f22580e52f415134248a39b4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$H^1$4K
hcp
3.75给出的(数据)是最常见的形式在室温的数据,
6.12
Li78KBe注明的温度的数据,符号 ABAC 指的是密集
bcchcp
3.4912.27
3.59
Na5KMg
bcchcp←————晶体结 构————
4.2253.21$\\longleftarrow \\text{点阵常数 } a\\,(\\mathring{\\text{A}}) ----$
5.21$\\longleftarrow \\text{点阵常数 } c( \\overset{{\\Huge .} }{\\text{A}})-----$
K5KCaScTiVCrMnFeCo
bccfcchcphcpbccbcccu bicbcchcp
5.2255.583.312.953.032.88complex2.872.51
5.274.684.07
Rb5KSrYZrNbMoTcRuRh
bccfcchcphcpbccbcchcphcpfcc
5.5856.083.653.233.303.152.742.713.80
5.735.154.404.28
Cs5KBaLaHfTaWReOsIr
bccbcchexhcpbccbcchcphcpfcc
6.0455.023.773.193.303.162.762.743.84
ABAC5.054.464.32
FrRaAc
fccCePrNdPmSm
5.31fcchexhexcomplex
5.163.673.66 -
ABAC
ThPaUNpPu
fcctetrcomplexcomplexcomplex
5.083.92
3.24
"} {"image_path": "images/b0d51ddf9994b830bf111ba68ca10d67.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
12
1. Почему на совре-менном этапе разви-тия школ возникаютновые типы школ?2. Нужно ли в Россиивводить платное обра-зование?воспринимаетзадачу и начина-ет осмысливатьвозможные ва-рианты ее реше-ниялитераобразосистемсии”
Крупные современныебразовательные сuс-eмыопрос для обсуждения:ыявить важнейшиенденции в мировомбразованииПроявляет инте-рес к проблемамобразования вмиреСамосзнакомвещенипросоввых сиобразопутахчества
"} {"image_path": "images/629888af241ce2c41af3fc6d3039bd9f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学 小
梧州宣傳所羅域縣立國語讀習所南寧省立國語講習所柳州巡警教練所柳州棉業誠習所羅城縣立自治研究所廣西第一自治研究所羅城縣立第五小學校羅城縣立第四小學校羅城縣立第三小學校羅城縣立第二小學校羅城縣立第一小學校羅城縣立教員研究所羅城縣立國語講習所柳州中學附設師範班
三$\\bigcirc$六$\\bigcirc$四二七$\\bigcirc$一八九二二一二一五五$\\bigcirc$一二O
分二期
"} {"image_path": "images/100b5c98b5deeb5aeafb8529e831b0f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
課程名稱:中文名稱:運動裁判
英文名稱:
授課年段:一上、一下學分總數:1
課程屬性:專題探究
師資來源:校內單科
課綱核心素養:A自主行動:A2.系統思考與問題解決,
B溝通互動:B2.科技資訊與媒體素養,
C社會參與:C2.人際關係與團隊合作,
學生圖像:1-2-1掌握從閱讀中獲取知識、建構知識和運用知識的自學能力,培養終身學習的態度。,2思辨力,2-1-1運用思考工具提昇思考力,具備系統思考、分析與探索的養。,2-2-1深化後設思考,培養客觀理性的態度,並積極面對挑戰以解決人生的各種問題。,3-1-1運用有效且流暢的溝通方式達到溝通目的,促進溝通意願與人際互動及社會參與。,
學習目标:1. 瞭解任何運動型態皆可以使心情愉悅,提高生活滿意度,降低憂鬱情緒。2. 生理:規律之運動將有效降低體脂肪、增進最大攝氧量、雕塑體型、增進健康、體適能等效益。3. 心理:透過運動,可達到舒展身心、休閒放鬆、社交娛樂、同儕關係建立、學習溝通與調解比賽中的争議等效益,並透過規律運動習慣之建立,可建立自信、自重和重視身體的心理效益。4. 社會:培養青少年運動之風氣及觀念,增進對運動健康之重視。5. 教育:藉由各項多元運動有效培養學生終身運動習慣之形塑,且培養學生規劃賽事與執行裁判等能力。
教學大綱:週次/序單元/主題內容綱要
課程介紹說明課程進行方式與課程評量方式。
團隊凝聚課程透過活動了解彼此,用輕鬆快樂的方式探索人。
篮球裁判課程1籃球規則講解及說明。
篮球裁判課程2篮球規則講解(手勢、哨子、賽制等)。
篮球裁判課程3籃球規則講解(手勢練習等)。
篮球裁判課程4籃球規則講解(裁判及追蹤員走位)。
篮球裁判課程5籃球規則講解(裁判及追蹤員走位)。
篮球裁判課程6判例研究及探討。
期中考期中考
羽球裁判課程1學習羽球裁判規則。
十一羽球裁判課程2學習羽球裁判規則(手勢、哨子、賽制等)。.
十二羽球裁判課程3裁判實作。
十三羽球裁判課程4裁判實作。
十四棒球裁判課程1學習棒球裁判規則。
十五棒球裁判課程2學習棒球裁判規則(手勢、賽制等)。
十六棒球裁判課程3裁判實作。
十七棒球裁判課程4裁判實作
十八期末考期末考
十九
二十
二十一
二十二
學習評量:一、個人評量 50%1.課堂出席率:課程參與程度,有無遲到、缺曠紀錄。2.個人期末報告:以本學期上課主題之一為作業題目,收集資料,需注明參考來源,並加上心得,於本學期課程結束一週前缴交。
"} {"image_path": "images/c980f2b771224075b303885766dc3c9f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目分值考核内容评分标准得分
礼仪要求10分仪表3着装规范未做到不得分
行为4大方、得体、敬人未做到不得分
言谈3语言规范,态度温和未做到不得分
操作前准备15分病人2评估病人未评估扣 2 分;少一项扣 0.5 分
3操作前准备正确
体位合适
准备不正确扣 1 分
体位不合适扣 2 分
环境2病室安静、整洁、温湿度适宜不符合要求不得分
护士4修剪指甲、洗手戴口罩违反一项扣 2 分
用物2
2
检查双气囊三腔管
备齐用物,摆放合理
未检查扣 2 分
缺一件扣 1 分,扣完为止
操作过程55 分核对解释3
2
核对病人
告知病人操作目的
未核对不得分,缺一项扣 1 分
未向病人说明操作目的不得分
铺巾、清洁鼻腔、麻醉1
1
1
铺治疗巾,放置弯盘
检查并清洁鼻腔
麻醉
未完成一项扣 1 分
开包3检查包内物品是否齐全缺一件扣 1 分
4往胃气囊和食管气囊内充气,观察气囊管是否通畅、有无漏气充气手法不正确扣 1 分
充气顺序不正确扣 1 分
未观察或观察不全面扣 2 分
3抽尽囊内气体,分别标记三个腔备用未标记扣 3 分
标记错误1处扣 1 分
润滑气囊管2润滑三腔管前端及气囊未润滑管子扣 2 分
"} {"image_path": "images/9a4103ccbb2015e6114dbebff0856992.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
KRE BTK MAGYAR NYELVTUDOMÁNYI TANSZÉK
SZAKDOLGOZATI TÉMÁK
(Közzétéve: 2015. április 18., választható a 2015/16. tanévben végzők számára)
Magyar szakos alapképzés (BA)
Témavezető(konzulens)Vólasztható témák
Arvay AnettPragmatika
1. A meggyőzés és manipuláció pragmatikája
2. Reklámdiskurzusok elemzése
3. Interkulturális kommunikáció
4. Nyelvi udvariasság vizsgálata a magyarban (önálló empirikus kutatás)
MAGYAR SZAKOS ALAPKEPZES(BA)Bölcskei AndreaNyelvtörténet
1. Egy kódex névszó- vagy igeképző-rendszerének vizsgálata
2. A felsőfok kifejezésének módjai egy korai kódexünkben
3. A jövő idő kifejezésének módjai egy korai kódexünkben
4. Azonos bibliai motivumok nyelvi megformáltsága különböző kódexekben
5. Egy régi foglalkozási ág szókincsének etimológiai és művelődéstörténeti vizsgálata
6. A régi magyar fűszernévek/pénznevek/kelmenevek
7. Legrégebbi tolvajnyelvi szójegyzékeink szókincse
8. Vándorszavak a magyar nyelvben
9. A modern nemzetközi szavak a magyar nyelvben
10. A tulajdonnevek köznevesülésének típusai
11. A levélbeli megszólítások/udvariassági formulák alakulása amagyarban
12. A köszóni formák története a magyarban
Névtan
1. Két vagy három vidék történeti családneveinek/keresztneveinek összevetése (anyakönyvek, összeirások alapján)
2. Egy település régebbi és mai családnévanyaga (anyakönyvek alapján)
3. A keresztnévdivat alakulása egy falu nyelvében (anyakönyvek alapján)
4. A felújított „ősmagyar” keresztnevek
5. A törzsnevekből alakult helységneveink
6. A népnevekből alakult helységnevek a magyarban
7. A foglalkozásnevekből alakult helységnevek a magyarban
8. Több megye/tájegység helységnévtipusainak összehasonlító egybevetése (történeti források alapján)
9. Egy város utcaneveinek történeti vizsgálata
10. A magyar országnevek története
11. Egy intézménytipus neveinek rendszere
12. Az internet használatával összefüggő névtípusok
N. Császi Ildikó--
SZAKOSALAPKEPZES$\\text{Csontos Nóra}$--
Dér Csilla IlonaNyelvtörténet1. Grammatikalizációs folyamatok vizsgálata (különösen a középmagyar kortól kezdődően bármely grammatikai kategóriát vagy annak egyes képviselőit illetően)
"} {"image_path": "images/8ee2357b55bca5eacf1d1b583bc44e22.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
motif 3GXGXGXER
LysRS (458) MPPTAGQGIGIDRLUMLLT
AspRS(519) CPPHAGGGIGLERUUMFYL
AsnRS(427) TUPHSGFGLGFERLIAYUT
AS (287) MPQTIGGGIGQSRLTMLLL
ACUS(2964) LPUTINGKLDURRLPEIIN
GrsB(942) URLHLNGKIDRKSLPNLEG
EntF(945) LPLSANGKLDRKALPLPEL
TycA(498) MPLTPNDKIDRKALPEPDL
motif 3GXGXGXER
LysRSMPPTAGQGIGIDRLUMLLT
AspRSCPPHAGGGIGLERUUMFYL
AsnRSTUPHSGFGLGFERL IAYUT
ASMPQTIGGGIGQSRL TMLLL
ACUSLPUTI NGKLDURRLPEIIN
GrsBURLHL NGKID RKSLPNLEG
EntF LPLSA NGKLD RKALPLPEL
TycAMPLTP NDKID RKALPEPDL
. .
motif 3GXGXGXER
LysRSMPPTAGQGIGIDR LUMLLT
AspRSCPPHAGGGIGLER UUMFYL
AsnRSTUPHSGFGLGFER LIAYUT
ASMPQTIGGGIGQSR LTMLLL
ACUSLPUTI NGK LDRR LP EIIN
GrsBURLHL NGK IDRKSLPNLEG
EntFLPLSA NGK LDRKALPLPEL
TycAMPLTP NDK IDRKALPEPDL
. . . . .
motif 3GXGXGXER
LysRSMPPTA GQGIGIDR LUMLLT
AspRSCPPHA GGGIGLER UUMFYL
AsnRSTUPHS GFGLGFER LIAYUT
ASMPQTIGGGIGQSR LTMLLL
ACUSLPUTI NGK LDRR LP EIIN
GrsBURLHL NGK IDRKSLPNLEG
EntFLPLSA NGK LDRKALPLPEL
TycA MPLTP NDK IDRKALPEPDL
. . . . . .
"} {"image_path": "images/6151f142ed2bcee86ce7e01c86f3fee4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Types of PeopleDifferences56. _____
The happyfixing theirattention on57. _______of things.equal degree of 58. _____and other comforts of life
The unhappythink andspeak only of59. _____
60. _____about the un-happySituation62. _____ 64. _____
souring thepleasure ofsociety• growinginto a habit• havingbad effectson their in-terests andtastes• nobodyloves them• no onetreats themwith63. _____ • changethis badhabit• be pleasedwith what ispleasing• 65. _______about them-selves andothers
offendingmany people
61. _____
"} {"image_path": "images/69195c7e3afb429bca38b2abeb852323.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组 距组的中间值频数统计频数fi组位uifi ui$fi ~ui^{2} $
19.883-9.9109.8965$|$1- 4- 416
29.910--9.9379.9235 8- 3- 2472
39.937-9.9649.9505 15- 2- 3060
49.964-9.9919.9775 18- 1- 1818
59.991-10.018$10.0045=a$ $\\parallel$27000
610.018-10.04510.0315 $\\parallel$1211212
710.045-10.07210.0585 921836
810.072-10.09910.0855 $|$631854
910.099-10.12610.1125$\\parallel$24832
1010.126-10.15210.1395$\\parallel$251050
合 计- 10350
"} {"image_path": "images/655663c58e0849712d1cc0e8175b6f01.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
各 纵 标 至 切 面 最 厚 处 距 离 叶边圆弧直径以其切面最大厚度%計
r/R由 随 边 至 最 厚 处由 最 厚 处 至 导 边
100%80%60%40%20%20%40%60%80%90%95%100%r/R随边导边
叶背纵坐标0.253.3572.6583.9096.4598.6094.5087.0074.4064.3556.950.26.4
0.350.9571.6086.8096.8098.4094.0085.8072.5062.6554.900.36.5
0.447.7070.2586.5597.0098.2093.2584.3070.4060.1552.200.46.6
0.543.4068.4086.1096.9598.1092.4082.3067.7056.8048.600.56.7
0.640.0067.1585.4096.8098.1091.2579.3563.6052.2043.350.66.8
0.739.4066.9084.9096.6597.6088.8074.9057.0044.2035.000.76.9
0.840.9567.8085.3096.7097.0085.3068.7048.0034.5525.450.87.0
0.945.1570.0087.0097.0097.0087.0070.0045.1530.1022.000.911.111.1
叶面纵坐标0.230.0018.2010.905.451.550.452.305.9013.4520.3026.2040.000.9515.715.7
0.325.3512.205.801.700.051.304.6010.8516.5522.2037.5526.7
0.417.856.201.500.302.657.8012.5017.9034.50
0.59.701.750.704.308.4513.3030.40
0.65.100.804.458.4024.50
0.70.402.4516.05
0.87.40
"} {"image_path": "images/77379cade40ab702391e573ef3306b95.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
潘陽營口營口沙廣面州沙廣面州福州
日本日本英國法國英國日本
開放一九〇三年 開放一九〇五年開放一八五八年開放一八六一年開放一八四二年
開放一八六一年
開放一八四二年
根據中日會議東三省事宜條約又日俄戰後日人由奉天而强佔根據中英天津條約由開放牛莊所攻設同前根據中英南京條約(一八六一年英法聯軍入城)條約一八九九年日本人復要求工程醫權歸日木人管理
日本調有専管機調一切與營口同同前有工程巡醫機關以爲管理同前有工部局管理有工程及巡捕機關管理
奉天爲日美國於一九〇三年約開之埠安東爲美國同年約開之埠但美國未要求骰租界内並未與中國訂有租界章程佔地一、六七二坪佔地一、〇〇三坪
"} {"image_path": "images/db38cee2e980daac4c88d6a30f1dfb6a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
# # # ## # # # 状 况
组############装#格###增#可移动##
##. #####0 950 ##
##—#######0 ##0-05
心村—##########0 5#
### ### ##
"} {"image_path": "images/655663c58e0849712d1cc0e8175b6f01.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
各 纵 标 至 切 面 最 厚 处 距 离 叶边圆弧直径以其切面最大厚度%計
r/R由 随 边 至 最 厚 处由 最 厚 处 至 导 边
100%80%60%40%20%20%40%60%80%90%95%100%r/R随边导边
叶背纵坐标0.253.3572.6583.9096.4598.6094.5087.0074.4064.3556.950.26.4
0.350.9571.6086.8096.8098.4094.0085.8072.5062.6554.900.36.5
0.447.7070.2586.5597.0098.2093.2584.3070.4060.1552.200.46.6
0.543.4068.4086.1096.9598.1092.4082.3067.7056.8048.600.56.7
0.640.0067.1585.4096.8098.1091.2579.3563.6052.2043.350.66.8
0.739.4066.9084.9096.6597.6088.8074.9057.0044.2035.000.76.9
0.840.9567.8085.3096.7097.0085.3068.7048.0034.5525.450.87.0
0.945.1570.0087.0097.0097.0087.0070.0045.1530.1022.000.911.111.1
叶面纵坐标0.230.0018.2010.905.451.550.452.305.9013.4520.3026.2040.000.9515.715.7
0.325.3512.205.801.700.051.304.6010.8516.5522.2037.5526.7
0.417.856.201.500.302.657.8012.5017.9034.50
0.59.701.750.704.308.4513.3030.40
0.65.100.804.458.4024.50
0.70.402.4516.05
0.87.40
"} {"image_path": "images/f6b6ab5591c82e1e4b1a1c9095cbe9d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
文書類别
文書保存期滿制定廢棄手續八年度
按文書性質輕重分別訂定保存年限七年度
建築文卷藏房六年度
設置圖書刊行物閱覽室添設統計專員以資辦理統計事宜五年度
制定辦理本署文書規程並令各區村遵照
養成統計人材
四年度
備考
"} {"image_path": "images/bdf81df1f5b3124bf7aafa0ba014de0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
培训教材研究设计 (续)电子文件编码
粤园员原园园员原园圆
三、因果调研
员援因果调研的目的是找到因果关系的证据。营销经理总是根据假设的因果关系不停地做出决策,这些假设可能不正确,必须通过正式的调研对它进行检验。例如,通常假设价格下降会引起销售的增加和市场份额的提高,但在特定的竞争环境里,这个假设并不能获得支持。因果调查对于实现下列的目的很有必要:
(员理解哪些变量是原因(独立变量),哪些变量是结果(非独立变量)。
(圆)判断原因变量和预测结果之间的关系的实质。
圆援和描述性研究相似,因果调研也需要有计划、有结构的设计。尽管描述性调研可以判断变量之间的相互联系程度,但对于检验因果关系却不合适。检验因果关系需要进行原因调研设计,使得原因和独立变量能够在相对控制的环境里被操作运用。这里所说的\"相对控制环境\"是指能够尽最大可能对那些影响非独立变量的其它变量实施控制和检查的环境。因果调研的主要方法是进行实验.
猿援探索性调研、描述性调研和因果调研是调研设计的主要类别但是千万不能将它们之间的区别绝对化。一项具体的营销调研项目可能会涉及几种调研设计以实现多种目标。究竟应选择哪几种调研设计取决于调研问题的特征。下面我们提出一些选择调研设计的一般指导原则:
(员)如对调研问题的情况了解甚少,理想的做法是从探索性调研开始。探索性调研在下面几种情况下是比较恰当的:
①调研问题需要得到精确界定的时候;
②替换的行动方案需要被寻找出来的时候;
③需要设计调研疑问或假设的时候;
④关键变量需要被隔离出来并划分为独立或非独立的时候。
(圓) 探索性调研是整个调研设计框架的第一步,在大多数情况
"} {"image_path": "images/3dbf34a4e628ebd787dbff2142304c1a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$SiO_2$$ Al_{2}O_{3} $$Fe_2O_3$CaOMgO$K_2$O$Na_2$O$TiO_2$
Olive Hill,Ky.,plas-tic clay44.5240.811.030.620.550.000.000.00
Olive Hill, Ky., flint43.3840.350.850.880.23
Strasburgh, O55.8741.391.600.400.300.290.200.45
Woodbridge, N. J56.8021.831.570.280.240.24....1.15
Woodbridge, N. J47.7535.831.850.220.180.670.98
Carter Co., Ky68.0124.091.013.01............
Clarion Co., Pa44.6138.011.250.080.411.74....1.02
St. Louis, Mo46.2727.064.451.001.051.89....3.85
St. Louis, Mo45.4538.981.420.200.320.83....0.49
Stourbridge, Eng73.8215.882.95........0.90....
Glenboig, Scotland65.4130.551.70................1.33
Coblentz, Germany55.4031.740.590.190.142.940.68
La Bauchade, France53.4026.404.200.690.640.55
Jacksonville, Ala38.9244.620.360.141.040.08
Fire clay for openhearth furnace44.50 42.500.501.000.50
For zinc retorts49.5034·501.500.500.50
"} {"image_path": "images/3e52daa26ef4b3c3c4b4ebd650311973.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 0 7 6 5 4 3 2 1 0
ID A A A A A A A
复位值 0 0 0 0 0 0 A 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
ID RW FieldValue ID描述
A R FREQUENCY[0..100]无线射频的频率
Frequency $=2400+$ FREQUENCY $(\\mathrm{MHz})$.
"} {"image_path": "images/fdb805eddaea12c153a7b615e6de16e3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FamiliaNome popularNome cientifico
ArdeidaeGarca-roxaArdea purpurea
Garca-real-europeiaArdea cinerea
Socó-grandeArdea cocoi
Garca-branca-grandeCasmerodius albus
Garca-branca-pequenaEgretta thula
Garca-azulEgretta caerulea
Garca-tricolorEgretta tricolor
Garca-vaquoicaBubulcus ibis
SocozinhoButorides striatus
Garca-caranguejeiraArdeola ralloides
Garca-da-mataAgamia agami
Maria-faceiraSyrigma sibilatrix
Garca-realPitherodius pileatus
SavacuNycticorax nycticorax
Savacu-de-coroaNyctanassa violacea
Socó-bolTigrisoma lineatum
Socó-boi-escuroTigrisoma fasciatum
Socoi-vermelhoIxobrychus exilis
Socoi-amareloIxobrychus involucris
Socoi-ziguezagueZebrilus undulatus
Socó-boi-bodoBotaurus pinnatus
CochlearlidaeArapahãCochlearius cochlearius
ThreshiornithidaeMacarico-realTheristicus caerulescnes
CuricacaTheristicus caudatus
Trombeteiro Cercibis oxycerca
CorocordMesembrinibis cayennensis
Tapicuru-de-cara-peladaPhimosus infuscatus
GuaraEudocimus ruber
CaraunaPlegadis chihi
CoihereiroPlatalea ajaja
CoondaeCaboca-socaMycteria americana
Maguari Ciconia maguari
JaburuJabiru mycteria
CathartidaeCondor-dos-andes Vultur gryphus
Urubu-reiSarcoramphus papa
Urubu-de-cabeca-pretaCoragyps atratus
Jrubu-de-caboca-vermelha Cathartes aura
Urubu-de-cabeca-amarelaCathartes Durrovianus
Unubu-da-mataCathartes melambrotos
"} {"image_path": "images/579786b3188b98afd8c362a5003ed0e1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
陳斗南 富順人。倪良 分水人。吉昌任德祥 巴縣人。典史徐長清 以後缺裁。程伯高李光遠蔣萬程 大昌人。選貢 。李宦 郁川人。 朱希聖 南康人 。 職官三 一〇八六
何昭 汝州人。 苗驥 青州人。周紀趙弼吳伯朋徐天印 金溪人。王朝政 浙江人。田賦 偃師人。王鳳翼 蒼溪人。
"} {"image_path": "images/e1b8835af8a9bbbb6696e9fdbf9bdacc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
圆柱孔轴承
运转状态负 荷状 态深沟球轴承、调心球轴承和角接触轴承圆柱滚子轴承和圆锥滚子轴承调心滚子轴承公差带
说明举例轴承公称内径/mm
旋转的内圈负荷及摆动负荷 一般通用机械、电动机、机床主轴、泵、内燃机、正齿轮传动装置、铁路机车车辆轴箱、破碎机轻负荷 ≤18>18~100>100~200_ _≤40>40~140>140~200 _≤40>40~100>100~200 $h5j6^{①}k6^{①}m6^{①}$
正常负荷 ≤18>18~100>100~140>140~200>200~280__ _≤40>40~100>100~140>140~200>200~400_ _≤40>40~65>65~100>100~140>140~280>280~500j5 js5k5^{②}m5^{②}m6n6p6r6
重负荷_>50~140>140~200>200_>50~100>100~140>140~200>200 $n6p6^{③}r6r7$
固定的内圈负荷 静止轴上的各种轮子,张紧轮绳轮、振动筛、惯性振动器所有负荷所有尺寸 $f6g6^{①}h6j6$
"} {"image_path": "images/db10c924b98cd9078b8fc00944ab1523.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
阀 的 型 式阀盘外径d阀(米)阀盘面积$~f 阀 $$(米^3)$ 阀隙周边长l阀(米)阀重G。(公斤)弹簧载荷阀 载活塞冲程S(米)活塞面积$~F$(米 ${ }^{2}$ )冲次n。(次/分)$~~Q_{v}$(分米$^3$/秒)$Q_{vno}$$~h$大(毫米)$[Q_{vn}]$$λ阀$
P。弹(公斤)P弹大(公斤)H。阀(米)H阀大(米)
盘 阀(Ι)0.080.004770.2510.4350.5951.1480.2160.3320.050.090.008661441091.031.41148154 913.71450.37
1.5972.420.4260.5980.050.092001421.441.8428826110.813.5285
盘 阀(I)0.10.00760.3140.5641.1382.2730.2490.3740.090.150.00866121921.571.9819018211.114.01850.42
2.6064.2240.4170.6300.090.151501221.952.6329232011.715.2310
单 环 阀(III)0.00990.005650.4710.6600.7151.4090.2440.3660.090.150.008661441101.872.3726926111.117.42700.42
1.7192.9100.4210.6320.090.151951492.533.2149349811.016.8470
单 环 阀(Ⅳ)0.1400.0090.7540.960.741.780.1890.3040.1250.1900.008661441182.593.28373381 9.313.23700.39
3.0725.2860.4480.6940.1900.2501761504.825.4184881113.617.7850
双 环 阀(V)0.1870.1791.4952.530.8151.8550.1870.2450.1250.1900.0177129984.735.4760953610.012.05600.51
4.1928.682C.3760.6270.1500.2500.008661641237.222.061184111411.015.21100
三 环 阀(VI)0.1880.01682.2422.6800.8301.8700.2090.2710.1250.1900.01771411065.175.9173062710.113.86500.71
3.5178.0070.3680.6350.1500.2501641237.449.061259111411.217.81170
"} {"image_path": "images/53fdb5c43da6459421ea21f4641bc6e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
顺序号项 目单位单价人 工 挖 土 方
普 通 土 坚 土砂 砾 坚 土
深 度
2米以内2米以内2米以内2米以内2米以内2米以外
123456
预 算 价 格33.0543.8051.7862.5374.6685.41
其中: 人 工 费\"33.0543.8051.7862.5374.6685.41
1
2
普 通 工
其 他 用 工
工日
\"
15.88
0.32
21.05
0.42
24.88
0.50
30.05
0.60
35.88
0.72
41.05
0.82
合 计工日2.0416.2021.4725.3830.6536.6041.87
"} {"image_path": "images/5a9724c5e34bb784b007eaf3c19bbae7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2150不熟悉要出丑白露秋来半一同钻入山
2151为人子方少时
2152车踏倒挂士2161方方正正一住宅里边住了五口人
2153仇人已除2162父亲好品行寸草也节省
2154日晒火烤连续干
2155长篇大论2163木字加一撇不能猜作禾
2156手续齐全2164反一片来正一片眼睛只会向上看
2157而且紧密结合
2158不出头只露尾身上长四张嘴2165户上头没有点不能当尸猜
2159分开是土合起来是土如果来了水就去把水堵2166今天只请女客
2167见点没点
2168日月并生
2160少女好容颜小鬼来纠缠2169歪头戴草帽
"} {"image_path": "images/d2486c6b0b451e2be4dc505bd35740b5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GR RA IM00009JOKER- ΠΑΝΑΠΩΤΟΥ Δ.ΚΩΝ/ΝΟΣΑΤΟΜΙΚΗ ΕΠΙΧΕΙΡΗΣΗ12°χλμ. Εθνικής ΟδούΑθηνίν-Λαμίας14452 ΜητροπολιτείουΑττικής210-2853700-210-2853777-info@jokerstraps.gr ПнототоптикόΔ.Δ. АттикήςΑριθμ. 711/03-102006
GR RA IM00010 <ΙΝΤΕΡΟΥΝΤ Α.Ε. -ΕΙΣΑΓΩΓΗ ΚΑΙ ΕΜΠΟΡΙΑΞΥΛΛΕΙΑΣ>Notapá 89-9118535 Pluráná210-4145300-2104145333info@interwood.grПиστοποτικό1267/6-6-2006Δ.Δ.ΑΤΤΙΚΗΣ
GR RA IM00011ΖΟΥΓΡΗΣ ΑΝΩΝΥΜΗΕΙΣΑΓΩΓΙΚΗ ΚΑΙΕΜΠΟΡΙΚΗ ΕΤΑΙΡΕΙΑΟΙΚΙΑΚΟΥ &ΕΠΑΙΤΕΑΜΑΤΙΚΟΥΕΞΟΠΑΙΣΜΟΥΓατσίμη ΣτέρναΤ.Κ. 19100Μέραρα22960-89020-22960-83610-fzougris@otenet.grПиотопотникó1668/24-8-2006Δ.Δ.АТТИКНΣ
GR RA IM00012 ΜΙΧΑΗΛΣΤΑΣΙΝΟΠΟΥΛΟΣ Α.Ε. -ΣΥΛΕΜΠΟΡΙΚΑΙΟΙΚΟΔΟΜΙΚΑΙ ΚΑΙΒΙΟΜΗΧΑΝΙΚΑΙΕΠΙΧΕΙΡΗΣΕΙΣAnglicoon 10T.K. 10554Αθήνα210-3218188210-3221843-210-3210547-info@stasinopouloulegal.grПнотоотникό1418/24-8-2006Δ.Δ.АТТИКНΣ
GR RA IM00013ETPOEYA ANQNYMOΣEIΣAFQITKH-EMIIOPIKH KAIBIOTEXNIKH ETEAIPEIAEIIEΞEPT AΣIAΣ ΞYAOYΦυλενος 55Τ.Κ. 18535Περιούς210-4126732210-4123582-210-4212062-etoxify@acn.grПнотоотноткó1945/24-8-2006Δ.Δ.АТТИКНΣ
GR RA IM00014A. ANΘΕΜΙΔΗΣ & ΣΙΑ Α.Ε Aryavov 26T.K. 18121Kopsbawbós210-5786830210-5624747210-5786832210-5690074ahtben@otenet.grПнототоптикó1813/30-8-2006Δ.Δ.АТТИКНΣ
GR RA IM00015ΤΣΑΚΙΡΙΔΗΣ Α.Β.Ε.Ε. Ροδίο 15Τ.Κ. 15455Αθήνα210-9817511210-9812958-210-9814682Пиотопотрию1732/30-8-2006Δ.Δ.АТТИКНΣ
GR RA IM00016I.&Σ.ΣΚΑΛΒΕΝΙΤΗΣA.E.E.Λ. Κημσού 80Τ.Κ. 12132ΠΕΡΙΣΤΕΡΙ210-5739536-210-5785788-ealexopoulos@sklavenitis.comПиотопотникό1737/30-8-2006Δ.Δ.АТТИКНΣ
GR RA IM00017ZYMARIAN M.WOODWELLA.E.B.E.E.Iopó Oóbós 178T.K. 122 42Aráizos210-5580297210-3462121-210-5576295www.woodwell.orgПнотозоцткó1641/31-8-2006Δ.Δ. АТТИКНЕ
GR RA IM00018II. ОIКОНОМОΥ & ΣΙΑО.Е.Ηρ. Ποιήτρου 28Τ.Κ. 13671Αθήνα210-2409971210-2409772210-2409773belhddsni@bot.arПнотозонтикó1895/31-8-2006Δ.Δ.АТТКНΣ
GR RA IM00019Νικολάος ΑγγελόπουλοςΑΤΟΜΙΚΗ ΕΠΙΧΕΙΡΗΣΗΑγ. Κωνσταντίνου 46Τ.Κ. 15124Μαρούσι210-61007766976623386210-6100772angelo@acn.grПнотопутикó1866/31-8-2006Δ.Δ.АТТИКНΣ
"} {"image_path": "images/1645f75a46e7bca9bc1e2781f8e1a6e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
張北縣志#卷一探名訪譽
張鯉安永清王履祥鄭鑫張殿齡李永魁楊萬育張瑞郝常久宋德傑范寶琇郭士敏王永貴孫紹元
子彬耀東延康勛臣韻珊文衡子良
本縣本縣本縣本縣本縣張家口本縣本縣本縣本縣本縣本縣張家口
會充張北公安隊隊附察省#泉訓練所卒業會充本縣#泉學員會充張北縣司法公署書記官公安局課長商會文會充張北縣公署科員商會會計會充張北公安隊隊長保衛團中隊附公安第一分局局員會充張北公款經理所副經理縣參議會副議長長張第北一自區治區講長習縣所習所參卒議業會會議充員本縣教育委員第六高小校 張察北省第實二業區學區校長卒業會充寶昌中隊長第二公安分局長委直員隸縣省督立學十縣六政中府學第卒二業科會科充員張北教育幹事長教育教宣育化局府長師縣範政卒府業第會三充科張科北長高小校長教育委員縣督學會充張北縣政府第一科科員
"} {"image_path": "images/7462930ad6f773ff9a1522bddc2e0df3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0
IDA A A
复位值0 0 0 0 0 A 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
ID RW FieldValue ID描述
A R RXMATCH接收地址
上一次接收数据包的逻辑地址
"} {"image_path": "images/563f41b8bd3940fdcf4c312cae8bb736.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
朝代类别官 厅 名 称主 要 职 官职 掌 品级(秩禄)备 注资料出处
中央官制七监 ( 四 )崇禄寺
( 五 )大仆寺
( 六 )大理寺
( 七 )鸿胪寺
( 八 )司农寺
( 一 )秘书监监、少监
( 二 )司天监同 上
( 三 )国子监祭 酒
( 四 )太府监监、少监
( 五 )少府监同 上
( 六 )将作监同 上
( 七 )都水监都、少监
地方官制①〔北面官系统〕( 辽官 )部族( 大小 )大 王(小部族称司徒、司空 )节 度 使、详 稳石 烈①建代地方官制亦分北面官系统 ( 辽官 ) 和 “ 南面官系统” ( 汉官 )。△部落曰 “部” ,氏族曰“族”。四大部族为: 五院部、六院部、伊锡部、奚六部。五十小部族,设官均同。
"} {"image_path": "images/a606056ef67b64487f58a9bf5cce28fb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
公 称通 径DN$ \\begin{array}{l}管子\\\\ 外径\\\\ \\end{array}$$\\,\\,D_0$法 兰 连 接 尺 寸总 长L$ \\begin{array}{l}\\text { 管 子 插 } \\\\ \\text { 入 长 度} \\\\\\quad \\approx L_{0}\\end{array} $伸 缩 量$\\quad \\delta$质 量/kg
法 兰 外 径D螺 栓 孔 中心 圆 直 径$\\,\\quad D_{1}$螺 栓孔 径$\\,\\,\\,d_0$螺 栓
n/个Th.
6576185145184M1611865506.3
808920016087.4
1001082201801238.7
11410.4
12513325021011.3
14012.7
15015928524022M2014.8
16815.9
2002193402951219.4
25027340535526M2413027.5
300325460410160856535.9
3503555204701640.3
37746.2
40040658052530M2749.1
42652.8
4504576405852058.1
48062.5
50050871565033M3072.2
53079.4
60061084077036M3394.5
63095.7
70072091084024104.1
800820102595039M36255130130198.5
9009201125105028211.8
100010201255117042M39254.4
12001220148513904832M45393.9
"} {"image_path": "images/7841138f2b6902b254a1916e9e7763bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
feame_infoframe_ typeY帧类型(I/P/B帕)
frame_ sizeY帧大小(单位:KB)
frameqpminY每秒的频段QP的最小值
frameqpmaxY每秒的帧级QP的最大值
frameqpavgY每秒的检测QP的平均值
framemvminY每秒的称谓MV的最小值
framemvmaxY每秒的帧率MV的最大值
framemvavgY每秒的检测MV的平均值
frame_skipY每秒的帧回skip和非skip的比例约为0
$ \\begin{array}{l}{}\\\\{\\operatorname{decoder\\_buffer}}\\\\ \\end{array} $Y解码器存状态,0-ok;1-Overflow;2-Underflow
"} {"image_path": "images/b6cec9844f1e2716ba04e4e54d32b4a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
存款人全 称第二联
账 号款项来源
开户行交款人
金额 (大写)金额(小写)亿
票面张数票面张数备注客户核对联
壹佰元伍角
伍拾元贰角
贰拾元壹角
拾元伍分
伍元贰分
贰元壹分
壹元其他
"} {"image_path": "images/696fdfee31c8b768817967fb528e4707.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓 名部 门职 务
评分/项目9080706059初核人说明事项
工作态度15
工作效率10
人际关系10
服从性5
判断力10
专业常识10复核人
责任心10
品德修养10
创新意识5
学习力10
以上考核由人事部换算 分一、调薪□晋()级□降()级二、晋升附人事变动单三、调职附人事变动单四、试用不合格辞退
扣加分记大功 次 分
记 功 次 分
嘉 奖 次 分
全 勤 次 分
记大过 次 分
记 过 次 分
警 告 次 分
事 假 次 分
病 假 次 分
迟 到 次 分
旷 工 次 分
建议事项
累计加 分累计扣 分
考核结果: 分评等级: 级
备注经理评核人事部评核主管评核
"} {"image_path": "images/4b999acc286139eba87140e98205118e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
表面温度 ℃介质温度 ℃管 径 (mm)
202532405080100150200250300350400450500600700
35~40常温 ~ 1503030303030303030304040404040405050
40~45151 ~ 2503030303040404040405050505050506060
45~50251 ~ 3504040505050606060607070707070707070
50~55351 ~ 4505050606060707070708080808080808080
55~60451 ~ 550505070707080809090100100100100100100100100
"} {"image_path": "images/4878d4a2bc29454cdb4a65fe685d90cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n
祁〔一五七〕國名
以執盾漢王三年初起從晉陽,以連敖擊項籍,漢王敗走,賀方將軍擊楚追騎,以故不得進。漢王顧謂賀:「祁子留彭城,軍執圭東擊羽,急絕其,近,壁。」侯,千四百戶。〔一五八〕侯功
七 六年六月丁亥,穀侯繒賀元年。〔一五九〕高祖
孝惠
高后
十一 十二 十二年頃侯湖元年。〔一六〇〕孝文
五十一 六年侯它元年。孝景
八 元光二年,侯它坐從射擅罷,敬國除。〔一六一〕建元至元封六年
五十一侯第
"} {"image_path": "images/f56ffb99a6ece19d521fa75e443cf90a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
单位径流量$\\left[\\mathrm{L} /\\left(\\mathrm{s} \\cdot\\right.\\\\\\right.$ hm $\\left.\\left.{ }^{2}\\right)\\right]$设计流量Q(L/s)流速(m/s)管径(mm)管底比降$i$(‰)$ \\begin{array}{l}\\text { 管底 }\\\\ \\text { 降落 } \\\\ i_{L} \\\\ ( \\mathrm { m } )\\end{array} $标高(m)管底埋深(m)
集水时间$x_{1}+2 t_{2}$地 面管 底
起点终点起点终点起点终点
9101112131415161718192021
10.00701231.054003.80.57186.80186.55185.40184.831.401.72
10.00701090.984003.30.50186.40186.55185.00184.501.402.05
14.76551930.995002.60.25186.55184.40184.40184.152.152.25
10.00701161.064003.80.57186.70186.40185.30184.731.401.67
17.96482571.305004.90.42186.40186.20184.15183.732.252.47
20.14463131.106002.60.33186.20186.00183.63183.302.572.70
"} {"image_path": "images/9a28b7307c94b4c2a566debf752fd9ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Lfd.Nr.Additionan$\\underset{\\text { von }}{\\alpha-\\mathrm{C}_{6} \\mathrm{H}_{6} \\mathrm{Cl}_{4}(\\mathrm{II})}$1.2.3.4.5.6-Hexa(hetero)halo-cyclohexaneaus $\\alpha-\\mathrm{C}_6 \\mathrm{H}_6 \\mathrm{Cl}_4[\\mathrm{I}]=3 \\mathrm{e} 4 \\mathrm{e} 5 \\mathrm{a} 6 \\mathrm{a}(\\mathrm{Cl})]$Konversionsmöglichkeit derSessel-Konfgurationene.e.e.a.a.agemäβ Tab. 2
Summen-formeltheoretisch mögliche Sessel-Konfigurationen ohne Auf-schreibung der „Gegenkörper“
1${F}_2$$\\mathrm{C}_{6} \\mathrm{H}_{6} \\mathrm{~F}_{2} \\mathrm{Cl}_{4}$1e2e3a4a(Cl)5e6e(F)・
21e2e3a4a(Cl)5e6a(F)*.
31e2e3a4a(Cl)5a6e(F)*Va $\\leftrightarrows$ Vb
4${CI}_2$ $\\mathrm{C}_{6} \\mathrm{H}_{6} \\mathrm{Cl}_{6}$ 1e2e3e4e5a6a(Cl)* $=\\alpha$
51e2e3a4e5a6a(Cl)* $=\\zeta$
61e2e3e4a5a6a(Cl) $\\quad==\\gamma$I $\\leftrightarrows$ I
7${Br}_2$$\\mathrm{C}_{6} \\mathrm{H}_{6} \\mathrm{Cl}_{4} \\mathrm{Br}_{2}$$\\mathrm{1e} 2 \\mathrm{e}(\\mathrm{Br}) 3 \\mathrm{e} 4 \\mathrm{e} 5 \\mathrm{a} 6 \\mathrm{a}(\\mathrm{Cl}) ^\\bullet$
81e2a(Br)3e4e5a6a(Cl)*
9$\\mathrm{1e} 2\\mathrm{a}(\\mathrm{Br}) 3\\mathrm{a} 4\\mathrm{a} 5\\mathrm{e} 6\\mathrm{e}(\\mathrm{Cl})$ *Va $\\leftrightarrows$ Vb
10CIBr $\\mathrm{C}_{6} \\mathrm{H}_{6} \\mathrm{Cl}_{5} \\mathrm{Br}$ le(Br)2e3e4e5a6a(Cl)*
11le(Br)2e3e4a5a6e(Cl)*
12$1 \\mathrm{Ie}(\\mathrm{Br}) 2 \\mathrm{e} 3 \\mathrm{e} 4 \\mathrm{a} 5 \\mathrm{a} 6 \\mathrm{a}(\\mathrm{Cl})^{*}$VIa $\\leftrightarrows$ VIIb, VIb $\\leftrightarrows$ VIIa
13$\\mathrm{1e}(\\mathrm{Br}) 2\\mathrm{a} 3\\mathrm{e} 4\\mathrm{e} 5\\mathrm{a} 6\\mathrm{a}(\\mathrm{Cl})$ *
14CIJ $\\mathrm{C}_{6} \\mathrm{H}_{6} \\mathrm{Cl}_{5} \\mathrm{~J}$ $\\mathrm{Ie}(\\mathrm{J}) 2\\mathrm{e} 3\\mathrm{e} 4\\mathrm{e} 5\\mathrm{a} 6\\mathrm{a}(\\mathrm{Cl})^\\cdot$・
15 $\\mathrm{1e}(\\mathrm{J}) 2\\mathrm{e} 3\\mathrm{e} 4\\mathrm{a} 5\\mathrm{a} 6\\mathrm{e}(\\mathrm{Cl})^{*}$
16 $\\mathrm{1e}(\\mathrm{J}) 2 \\mathrm{e} 3 \\mathrm{e} 4 \\mathrm{a} 5 \\mathrm{a} 6 \\mathrm{a}(\\mathrm{Cl})^{*}$ $\\mathrm{VIa} \\leftrightarrows \\mathrm{VIIb}, \\mathrm{VIb} \\leftrightarrows \\mathrm{VIIa}$
17 $\\mathrm{1e}(\\mathrm{J}) 2\\mathrm{e} 3\\mathrm{e} 4\\mathrm{e} 5\\mathrm{a} 6\\mathrm{a}(\\mathrm{Cl})^\\cdot$・
"} {"image_path": "images/cf597e91fddef9d7fc6fbf3b8aced633.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Date.Sid. Time. ps$W_t$.Power.Remarks.
h.° ′′
1878.35012.0312.51.403606
8.35511.7315.01.322383
1878.352·313.751.360
Σ.1504.
$a=10^h\\ 57^m.8\\ \\ δ=4°17'$ (8 and 8)
1878.33012.2105.11.113383
8.33310.8102.91.152383
1878.332104.001.130
Σ.1517.
$a=11^h\\ 7^m.4\\ \\ δ=20°47'$ (7 and 7)
1876.395..100.80.533888Mags. 9 and 9.5.
6.398..96.80.483888
1876.39698.800.505This star was rediscovered by Mr. A. G. ClarkApril 21, 1876.
Σ.1506. A and B.
$a=11^h\\ 7^m.6\\ \\ δ=74°7'$ (7 and 8)
1879.39314.091.810.373383
9.43413.392.310.643383
1879.414$$ \\Delta \\rho =$ 92.05- 0.03 10.505+ 0.004
92.0210.509
A and C. (7 and 13).
1879.39314.1298.57.562383C is 13th mag.
9.43413.5297.97.763383
1879.414298.207.660
"} {"image_path": "images/19cb7f4314f58a1e150ff92de1889872.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "






驛布
 爾
 噶
 齊






匹一
 十
匹一
 十
匹一
 十
八六四
錢兩十
八六四
錢兩十
八六四
錢兩十
五二九四
分錢兩十
五二九四
分錢兩十
五二九四
分錢兩十
錢六
五百
分一
 十
 兩
 八
錢六
五百
分一
 十
 兩
 八
錢六
五百
分一
 十
 兩
 八
"} {"image_path": "images/aa620a7b9f111265fe7050f9ee266bb7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TransmitReceived ArrayDecoded RowsReliabilityIndicator RowWeightDecoded Word
000000111100111110$ R_{1}=1 $${V_{1}=\\frac{1}{2}}$000000
111100111110 $R_{2}=1$ $V_{2}=\\frac{1}{6}$
000000000000$R_{3}=3$$V_{3}=\\frac{1}{3}$
${L}_{3}$$L_{3}$$L_{3}$$L_{3}$$L_{0}$$L_{0}$
"} {"image_path": "images/1b7936af412c239bbeded9aa3f4189da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
8010292211054911877
103225078
8110493231065111979
105245280
8210694251075312081
107265482
8310895275512183
109281085684
8411096295785
111301095812286
8511297315987
113321106012388
11498336189
144115341116212490
11699356391
366412592
K$\\mathrm{\\small{HŌRA}}$100371126593
386612694
KH→Khōra101391136795
11406812796
12411146997
8813102427098
14103431157114699
89154472147100
90161044511673148101
174674149102
91184711775103
194876150104
20
"} {"image_path": "images/3dec3bdbab37d56aac7761de0d7b7958.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
I.基本海藻区系Main marine florasⅡ. 种类Species 1. 白令海西部Western Bering Sea 2. 鄂霍次克海北部Northern Ochotsk Sea 3. 鄂霍次克海东南部Southeastern Ochotsk Sea 4. 鄂霍次克海西南部Southwestern Ochotsk Sea 5. 日本海东北部Northwestern Japan Sea 6. 日本海西北部Southwestern Japan Sea 7. 日本海西南部Southwestern Japan Sea 8. 日本海东南部Southeastern Japan Sea9. 日本太平洋岸北部Japanese Pacific coast,Northern part10. 日本太平洋岸南部Japanese Pacific coast,Southern part 11. 黄海西部Western Yellow Sea 12. 黄海东部Eastern Yellow Sea 13. 东海西部Western East China Sea 14. 东海东部Eastern East China Sea 15. 南海北部Northern South China Sea 16. 南海南部Southern South China Sea
S. duplicatum J. Ag.++$+\\Delta \\nabla$
S.emarginatum Tseng et Lu$\\nabla$
S. glaucescens J. Ag.++$+\\nabla$
S. gracillimum Reinbold$\\Delta$
S. huangluense Tseng et Lu$\\Delta$
5. ilicifolium (Turn.) Ag.+$+\\Delta \\nabla$
S. integrifolioides Tseng et Lu$\\Delta$
S. kuetzingii Setch.+$\\nabla$
S.longivesiculosum Tseng et Lu$\\Delta$
S. nanshaense Tseng et Lu$\\Delta$
S. parvivesiculosum Tseng et Lu$\\nabla$
S. parviforlium (Turn)C. Ag.+ $+\\Delta$
S. phyllocystum Tseng et Lu$+\\nabla$
S. polycystum Ag.++$+\\Delta \\nabla$
S. siliquosum J. Ag.$+\\Delta$
S. squarrosum Greville+$\\Delta$
S. subtilissimum Tseng et Lu$\\nabla$
S. swartzii (Turn.) C. Ag.+$+\\Delta$
S. turbinatifolium Tseng et Lu$\\nabla$
S. wangii Tseng et Lu$\\Delta$
S. xishaense Tseng et Lu$\\nabla$
S. yongxingense Tseng et Lu$\\nabla$
Turbinaria conoides (J. Ag.) Kutz.++$+\\Delta \\nabla$
T. ornata (Turner) J. Ag.++++ $+\\Delta \\nabla$☆○
T. parvifolia Tseng et Lu $\\nabla$
Enteromorpha cruciata Collins$\\nabla$
"} {"image_path": "images/d151ccdd1ec41dd0b35c8a10f4c672ba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
• të zgjidhë ushtrime në lidhje me ndërtimin dhe funksionin elëkurës dhe të sistemit lëvizës.
Të ushqyerit dhetretja
12 orë
• të diskutojë pse njeriu për të jetuar ka nevojë për t'u ushper,për një shumëllojshmëri substancash (proteina, sheqer, lyra,vitamina, uje, kripta minerale, glukozë, trigliceride, enzima)dhe ditei të ekulibruar
• të sgpjegojë sigurimin e energjisë nepërmjet frymëmanjesqelizore (pa realesione);
• të përshkualjë procesin e metabolizmit në organizëm(anabolizmin dhe katabolizmin);
• të analizpjë prooesin e tretjes nëpëmnjet pjesëve përbërëse tësistemit të tretjes në shndëmmin e makromolekulave tëushqimeve në molekula më të vogla, që mund të përdoren ngaqeliza për energji, ripërtëritje e rritje:
• të analizojë si ndodh procesi i tretjs nëpëmnjet përpunimitmekanik dhe kimik:
• të relatojë me shkrim dhe me gojë mbi rëndësinë e të ushqyeritdhe crregullimet që mund të shkaktohen nga mënyra e tëushqyent (p.sh:diabeti,sëmundjet e zemrës, dhjamosja);
• të hartojë një raport mbi konoeptet e të ushqyerit tëshëndetshëm, duke grumbulluar materiale nga intemeti ose ngabuletine shëndetësore;
• tëdiskutojë për problemet e kujdesit për dhëmbët, obezitetin,anoreksinë, buliminë;
• të përdorë fjalor shkenoor teminologjik për interpretimin eideve, prooechurave dhe përgjithësimeve (si p.sh: metabolizëm,katabolizëm, anabolizëm, përpunimi mekanik dhe kimik, dietëe balancuar, anoreksia, bolimia, obeziteti etj.);
• të realizojë hartën e koncepteve për të ushqyenit dhe tretjen;
• të zgjidhë ushtrime në lidhje me problemet e tretjes dhe të tëushqverit të shëndetshëm.
Frymëkëmbimi,qarkullimi dheekskretimi
15 orë
• të shpjegojë pse kemi nevojë për oksigjen;
• të analizojë ndryshimin midis frymëmanjes qelizore dheajrosjes së mushkërive, si dhe ndërvarësinë midis tyre;
• të përshkruajë ndërtimin dhe funksionin e sistemit tëfrymëkëmbimit;
• të përshkruajë përbërësit dhe funksionet e gjakut (gjaku, qelizate gjakut, muazat e kuqe, muazat e bardha, plazma).
• të argumentojë pse gjaku quhet ind lidhor;
• të përshkruajë ndërtimin dhe funksionimin e zemrës;
• të analizojë punën e zemrës si organ automatik vetëxitiës.
• të shpjegojë si shpëmdarja e lëndëve bëhet me anë të gjakut(qarkullimi i gjakut me anë të dy rathëve);
• të skicojë ndërtimin e zemrës dhe të rathëve të qarkullimit tëgjakut;
"} {"image_path": "images/3e57be33218fcce917d6f7f95aad0bbf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日期摘 要 现金(借方) 销货折扣(借方)应收帐款销货(贷方)其 他 帐 户
过帐记号(贷方)帐户名称过帐记号(借方)(贷方)
13业主投资$ 10,000股本(300)$ 10,000
8现销285$ 285
10R. 阿勃特1,078$ 22$ 1,100
20D. 勃豪900900
21现销220220
31银行借款2,500应付票据(205)——2,500
$ 14,983$ 22$ 2,000$ 505$ 12,500
(100)(402)(104)(400)
"} {"image_path": "images/567add3045e80f7db2014aa8f9832193.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号地 点设备名称电气接地方式
1
2
3
4
"} {"image_path": "images/0d1c9c992fd7e0174fbe9014688e6979.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n
电远传金属转子流量计LZD-40测量范围: 水 $0.4\\sim 4\\mathrm{m}^3/\\mathrm{h}$, 空气 12~$120\\mathrm{m}^3/\\mathrm{h}. 2.5级$D
LZD-100测量范围: 水 $6\\sim 30\\mathrm{m}^3/\\mathrm{h}$, 空气 200~$1000\\mathrm{m}^3/\\mathrm{h}. 2.5 级$D
椭圆齿轮流量计LC-15测量范围: 液体: $0.18\\sim 1.8\\mathrm{m}^3/\\mathrm{h}$, $0.5$ 级J
LC-25测量范围: 液体: $0.6\\sim 6\\mathrm{m}^3/\\mathrm{h}$, $0.5$ 级J
LC-40测量范围: 液体: $1.5\\sim 15\\mathrm{m}^3/\\mathrm{h}$, $0.5$ 级J
腰轮流量计FR-25测量范围: 液体: $3.5\\mathrm{m}^3/\\mathrm{h}$, 误差 $\\pm 0.2\\%$ 或$\\pm 0.5\\%$J
FR-50$测量范围:液体;35m^3/h,误差±0.2%或$$±0.5\\%$J
FR-100测量范围:液体: $180m^3/ h$ ,误差 $\\pm 0.2\\%$ 或$\\pm 0.5\\%$ J
气体腰轮流量计LLQ-25$测量范围:液体:5~20m^3/h,误差±1.5%$$或±3\\%$J
$ \\text{ LLQ-40} $測量范围:液体: $10-55 \\mathrm{~m}^{3} / \\mathrm{h}$, 误差$\\pm 1.5 \\%$ 或 $\\pm 3 \\%$J
$\\mathrm{LIQ}-80$ 测量范围: 液体: $30\\sim 200\\mathrm{m}^3/\\mathrm{h}$, 误差$\\pm 1.5\\%$ 或 $\\pm 3\\%$J
活塞式流量计LS-15测量范围:30~200L/h,0.5级J
LS-25测量范围:160~1600L/h,0.5级J
"} {"image_path": "images/4e59668b8b8dad66bceb409c6c567af9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Preperation ${ }^{2}$WAF Dilutions (%)ΣΡΑΗ50 (μg/L)ΣΡΑΗ40 (μg/L)ΣΤΑΗ (μg/L)dΣPAH50 (μg/L)dΣPAH40(μg/L)dΣTAH $(\\mu \\mathrm{g} / \\mathrm{L})$
S-HEWAF0.00.00.10.10.30.13.56.410.321.60.13.46.09.820.30.01.22.23.26.80.13.05.18.015.20.12.95.07.915.10.00.91.62.23.8
S-CEWAF0.00.10.30.61.40.11.32.44.08.50.11.22.44.08.50.00.20.40.71.60.11.12.13.57.30.11.12.13.57.30.00.10.20.40.9
AW-HEWAF0.00.00.00.10.20.22.44.17.915.90.22.23.97.314.60.11.01.63.36.20.11.12.03.66.90.11.11.93.56.80.00.40.71.42.5
AW-CEWAF0.00.00.10.10.30.21.52.75.410.90.21.42.55.010.50.10.61.12.24.40.10.71.32.45.10.10.71.32.45.00.00.20.40.71.4
SA-HEWAF0.00.00.00.10.10.20.41.24.85.10.20.41.12.25.10.00.10.51.32.70.20.30.62.62.60.20.30.61.22.60.00.10.30.71.4
SA-CEWAF0.00.10.22.29.1NDNDNDNDNDND
"} {"image_path": "images/9a07060a7069ce420f693c9c6d36ff27.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Optical positions
SourceRight ascension(1950)Declination(1950)Flux density(9·26 cm)(flux units)
hmdm
H10733·735200·090+0·027
H21029·554380·087±0·034
H31042·356149·042+0·057
H41101·82923-0·086 ± 0·085
H51155·032380·097 ± 0·027
H61213·106020·010+0·11
H71214·60358Confused with Parkes
1215 ± 03
H81216·904100·041 ± 0·038
H91242·82723$ -0·067+0·074 $
H101337·1-31240·110+0·027
H220947·72809$ -0·113\\pm 0·048 $
H231003·429110·032+0·058
H241025·01934$ -0·042+0·033 $
H251046·726180·022+0·027
H261101·02909$ 0·010+0·066 $
H271138·028380·023+0·068
H281213·548250·015+0·041
H291223·948430·019±0·086
H301234·827280·029+0·049
H311238·528120·053 ± 0·028
H321241·15514$ 0·113\\pm 0·052 $
H331242·12843$ 0·046\\pm 0·059 $
H341242·721240·039±0·099
H351244·72801$ -0·013\\pm 0·063 $
H361244·751530·021 ± 0·038
H371246·33448$ -0·084 \\pm 0·043 $
H381333·429290·040±0·025
H391346.625480·093±0·064
H401407·626310·036+0·050
H411426·22729$ -0·106\\pm 0·059 $
H431434·22838$ -0·086\\pm 0·083 $
H441441·02828$ 0·059\\pm 0·083 $
"} {"image_path": "images/f5ac06244b66253e13474f5a0a6791e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
化学名称过氧化氢(双氧水)爆炸极限爆炸下限(V/V)26%爆炸上限(V/V)100%急救措施及防护措施皮肤接触: 脱去污染的衣着, 用肥皂水和清水彻底冲洗皮肤。眼睛接触: 提起眼睑, 用大量流动清水或生理盐水冲洗。就医。吸入: 迅速脱离现场至空气新鲜处。保持呼吸道通畅。如呼吸困难, 给输氧。如呼吸停止, 立即人工呼吸。就医。食入: 饮足量温水, 催吐。就医。
防护措施: 空气中浓度超标时必须佩戴自吸过滤式防毒面具(半面罩); 戴化学安全防护眼镜; 穿聚乙烯防毒服; 戴氯丁橡胶手套。工作现场严禁吸烟; 工作完毕, 淋浴更衣。注意个人清洁卫生。
英文名称hydrogen peroxide外观无色透明液体,有微弱的特殊气味。
分子组成式$H_2O_2$溶解性能溶于水、醇、醚,不溶于苯、石油醚。
分子结构简式HOOH化学性质爆炸性强氧化剂。本身不燃, 但能与可燃物反应放出大量热量和氧气而引起着火爆炸。pH值为3.5~4.5时最稳定, 在碱性溶液中极易分解,在遇强光, 特别是短波射线照射时也能发生分解。当加热到100℃以上时, 开始急剧分解。
相对分子质量34.01危险性等级第5.1类 氧化剂。(危规号: 51001)
CAS号7722-84-1禁配物易燃或可燃物、强还原剂、铜、铁、铁盐、锌、活性金属粉末。避免强光、受热、撞击。泄漏应急处置方法迅速撤离泄漏污染区人员至安全区,进行隔离。建议应急处理人员戴自给正压式呼吸器,穿防毒服。尽可能切断泄漏源。防止流入下水道、排洪沟等限制性空间。
小量泄漏: 用砂土、蛭石或其他惰性材料吸收。也可以用大量水冲洗,洗水稀释后放入废水系统。大量泄漏: 构筑围堤或挖坑收容。喷雾状水冷却和稀释蒸气、保护现场人员、把泄漏物稀释成不燃物。用泵转移至槽车或专用收集器内,回收或运至废物处理场所处置。废弃处置方法: 经水稀释后,发生分解放出氧气,待充分分解后,把废液排入废水系统。
相对密度$/g·cm^{-3}$1.46危险特性燃爆危险: 它与许多有机物如糖、淀粉、醇类、石油产品等形成爆炸混合物, 在撞击、受热或电火花作用下能发生爆炸。与许多无机化合物或杂质接触后会迅速分解而导致爆炸, 放出大量的热量、氧和水蒸气。大多数重金属及其氧化物和盐类都是活性催化剂, 尘土、香烟灰、碳粉、铁锈等也能加速分解。浓度超过74%的过氧化氢, 在具有适当的点火源或温度的密闭容器中, 能产生气相爆炸。
健康危害: 吸入本品蒸气或雾对呼吸道有强烈刺激性。眼直接接触液体可致不可逆损伤甚至失明。长期接触本品可致接触性皮炎。
蒸气相对密度$/g·cm^{-3}$1.0
熔点/℃-0.4
沸点/℃150.2
闪点/℃-
自燃点/℃$140_{/分解}$灭火方法消防人员必须穿全身防火防毒服, 上风向灭火。尽可能将容器从火场移至空旷处。喷水保持火场容器冷却, 直至灭火结束。灭火剂: 水、雾状水、干粉。禁止用砂土压盖。贮存运输大包装: 塑料桶(罐), 净重不超过50kg, 容器上部应有减压阀或通气口, 容器内至少有10%余量。试剂包装: 先用塑料瓶, 再单个装入塑料袋内, 合装在钙塑箱内。应添加足够的稳定剂。库温不宜超过30℃。
蒸气压/kPa0.2
"} {"image_path": "images/5808254fae81590bb9570f5ff8414a30.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VITAMINSREACTIONKIND
A$ B_{1} $$ B_{2} $CExcEss NAOH
I.U.I.U.Mg.S.B.U. Mg.Mg.AcidBase
Neu tralBacon Fat
NeutralBeef Drippings
490-700NeutralButter
50 23-28.07-.089-23.03-.070.61 Butter, peanut
4773-27750NeutralCod Liver Oil
NeutralCorn Oil
Neu traltralCottonseed Oil
67-2107-8.02Cream(Coffee)
196-3506-7.01-.02NeutralCream(Whipping)
NeutralCrisco
11100-399600NeutralHalibut Liver Oil
3-6.01-.02NeutralLard
Mineral Oil
Neu tralOleomargarine
NeutralOlive Oil
NeutralPeanut Oil
NeutralSuet
"} {"image_path": "images/494a1e121efe497eed491dc48249ee8a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n
牌号质量等级板厚(mm) 屈服点
$\\sigma_{\\mathrm{s}}~(\\mathrm{MPa})$
抗拉强度
$\\sigma_{b}~(\\mathrm{MPa})$
伸长率
$\\delta_{5}~(\\%)$
V 型冲击功能 (纵向) 180°弯曲试验钢材厚度 (mm)
温度(℃)J时效 (J)
不小于$≤16$$>16$
Q235qC$≤16$23539026027 d=1.5 ad=2.5a
$>16 \\sim 35$225380
$>35 \\sim 50$215375
$>50 \\sim 100$205375
D$≤16$23539026-2027
$>16 \\sim 35$225380
$>35 \\sim 50$215375
$>50 \\sim 100$205375
Q345qC$≤16$34551021034 d=2ad=3a
$>16 \\sim 35$32549020
$>35 \\sim 50$31547020
$>50 \\sim 100$30547020
D$≤16$34551021-2034
$>16 \\sim 35$32549020
$>35 \\sim 50$31547020
$>50 \\sim 100$30547020
E$≤16$34551021-40
$>16 \\sim 35$32549020
$>35 \\sim 50$31547020
$>50 \\sim 100$30547020
Q370qC$≤16$37053021041 d=2ad=3a
$>16 \\sim 35$35551020
$>35 \\sim 50$33049020
$>50 \\sim 100$33049020
D$≤16$37053021-2041
$>16 \\sim 35$ 35551020
$>35 \\sim 50$33049020
$>50 \\sim 100$33049020
E$≤16$37053021-40
$>16 \\sim 35$35551020
$>35 \\sim 50$33049020
$>50 \\sim 100$33049020
Q420qC$≤16$42057020047 d=2ad=3a
$>16 \\sim 35$41055019
$>35 \\sim 50$40054019
$>50 \\sim 100$39053019
D$≤16$42057020-2047
$>16 \\sim 35$41055019
$>35 \\sim 50$40054019
$>50 \\sim 100$39053019
E$≤16$42057020-40
$>16 \\sim 35$41055019
$>35 \\sim 50$ 40054019
$>50 \\sim 100$39053019
"} {"image_path": "images/f5150da317b882f3c345d5d186500864.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NRadix 2 Radix 4 SRFFTPFAWinograd
16242020
3010068
328868
60200136
64264208196
120460276
128712516
2401100632
256180013921284
50425241572
51243603076
100858043548
10241024878567172
20482356016388
2520176609492
"} {"image_path": "images/f00a23283e95b01b3a9851575bdc386c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号工程名称建筑面积($㎡$)备 注序 号工程名称建筑面积($m^{2} $)备 注
羊 舍199.2×10=1992.0运动场 216×10=2160紫外消毒间12.25
饲料加工间120.25培训室、办公室、门房131.95
干草棚301.02×2=602.04消毒池24.0
晒 场180堆粪场200
青贮窖4×7×3X10=840m³隔离羊舍37.2
人工授精室61.75旱 厕15
药浴池70.0场区下南向50米的位置处,几个小区可合建 合 计总建筑面积$3042.44㎡$不包括隔离羊舍的建筑面积$3055.24㎡$
"} {"image_path": "images/82755a9c1cbda766234aba17d9d76c11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Marital $satisfaction^b$
Wife's response
Correlation-.02-.12*-.08-.10.05.33**-.07.03
Beta.01.28**
Husband's response
Correlation-.03-.07.01-.03.02.24**-.14*-.08
Beta.19*-.17*
Marital $consensus^c$
Wife's response
Correlation-.10-.16*-.11-.08.07.36**-.01.14*
Beta-.00.35**.15*
Husband's response
Correlation$-.19^{* *}$-.15*-.10-.03-.02.14*-.00.05
Beta-.10-.13.11
Marital $companionship^d$
Wife's response
Correlation-.03-.10-.01.01-.02.14*-.08.14*
Beta.17*.15
Husband's response
Correlation.05-.05.10.07.14*.07.05.12
Beta.17*
"} {"image_path": "images/0a2e2ba7e99561890ae7e24a3d84a136.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
研究生本 科大 专大专证书
到一九九五年底局直属 人数(人)合计111,1603,120853
浦东6182517891
比重(%)合计0.077.8621.155.78
浦东0.206.0017.0003.00
区县属 人数(人)合计01932,8141,073
浦东05122671
比重(%)合计01.0014.385.48
浦东01.808.002.50
全系统 人数(人)合计111,3535,9341,926
浦东6233743162
比重(%)合计0.033.9417.295.61
浦东0.103.9812.682.76
到二○○○年底局直属 人数(人)合计191,8744,557879
浦东145711,428143
比重(%)合计0.109.5523.234.48
浦东0.208.0020.002.00
区县属 人数(人)合计03763.9511,301
浦东0128770192
比重(%)合计01.4214.964.93
浦东02.0012.003.00
全系统 人数(人)合计192,2508,5082,180
浦东146992,198335
人数(%)合计0.044.8918.494.74
浦东0.105.1616.212.47
"} {"image_path": "images/1b103bb6d4256f67365c2f11e4d46080.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
|劍,|永|寧令。
|祥|玉,|済|州司馬。
|之|翰,|臨|黄尉。
|綸字|允|言,檢校戶部郎中。
|簡|辭字|子|策, |山|南|東|道節度使。|簡|能字|子|拙,檢校司封郎中、|鳳|翔| 節度判官。
|玄|禧字|子|裕,國子博士。|貽|殷,光祿少卿。生|文|渙,字|子|林。|知|猷字|子|暮,檢校司空。生|文|度,字|子|澄。
"} {"image_path": "images/c2f552d44899407119f077b7596788b9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
角钢号数尺寸(毫米)截面面积
厘米${}^2$
理论重量
公斤/米
外表面积
米²/米
参 考 数 值
$x-x$$y-y$$x_1-x_1$$y_1-y_1$$u-u$
Bbdr$~~I_{x}$厘米${}^4$$~~i_x$厘米$~~W_{x}$厘米${ }^3$$~~I_y$厘米${}^4$$~~i_y$厘米$~W_y~厘米^3$$~~I_{x_1}$厘米${}^4$$~y_0$厘米$~~I_{y_1}$厘米${}^4$$~x_0$厘米$~~I_u$厘米${}^4$$~~i_u$厘米$~~W_u$厘米${}^3$tg a
6.3/46340474.0583.1850.20216.492.023.875.231.141.7033.302.048.630.923.120.881.400.398
54.9933.9200.20220.022.004.746.311.122.7141.632.0810.860.953.760.871.710.396
65.9084.6380.20123.361.965.597.291.112.4349.982.1213.120.994.340.861.990.393
76.8025.3390.20126.531.986.408.241.102.7858.072.1515.471.034.970.862.290.389
7/4.5704547.5 4.5473.5700.22623.172.264.867.551.292.1745.922.2412.261.024.400.981.770.410
55.6094.4030.22527.952.235.929.131.282.6557.102.2815.391.065.400.982.190.407
66.6475.2180.22532.542.216.9510.621.263.1268.352.3218.581.096.350.982.590.404
77.6576.0110.22537.222.208.0312.011.253.5779.992.3621.841.137.160.972.940.402
(7.5/5)7550586.1254.8080.24534.862.396.8312.611.443.3070.002.4021.041.177.411.102.740.485
67.2605.6990.24541.122.388.1214.701.423.8884.302.4425.371.218.541.083.190.435
89.4677.4310.24452.392.3510.5218.531.404.99112.502.5234.231.2910.871.074.100.429
"} {"image_path": "images/2fb6c28e059a507503535a475b3a6382.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
導赤散獨參湯獨聖散獨活寄生湯豬蹄湯豬苓湯豬膽汁導法處方名
176574543247889352103編號
"} {"image_path": "images/3d33e946da5ebd4bb287732b16e3ebd1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathrm{Bu}_{4} \\mathrm{NBr}$ in AN$Bu_{4} NBr$ in PC
m$10^{3}~ \\Delta \\sigma / \\sigma_{0}$${C_{\\mathrm{P}, 2, \\varphi}}$m$10^3~\\Delta d$$V_{2,\\varphi}$$10^{3} ~\\Delta \\sigma / \\sigma_{0}$$C_{\\mathrm{P}, 2, \\varphi}$
0.12454.28571.90.01020-0.519304.19
0.21257.24575.60.02998-1.523304.40
0.25178.38575.80.04998-2.534304.59-1.55545.5
0.304210.41579.10.06918-3.498304.75-1.99549.2
0.484116.06581.90.08201-4.128304.75-2.29550.4
0.495315.85579.60.09999-4.996304.71-2.73551.0
1.000229.96586.10.1388-6.844304.73-3.56553.3
1.152333.77587.40.2276-10.899304.77-5.19557.1
1.491941.13588.80.3345-15.481304.81-6.83560.1
1.999651.03591.20.3530-16.237304.81-7.12560.3
2.489858.20591.60.4691-20.793304.80-8.47562.9
3.047866.16593.3
3.496670.76593.4
$\\mathrm{PrNH}_{3} \\mathrm{Br} \\text { in } \\mathrm{AN}$
m${10^3~\\Delta d}$$V_{2,\\varphi}$$10^{3} ~\\Delta \\sigma / \\sigma_0$$C_{\\mathrm{P}, 2, \\varphi}$m$10^3~\\Delta d$$V_{2,\\varphi}$$10^{3}· \\Delta \\sigma / \\sigma_{0}$$C_{\\mathrm{P}, 2, \\varphi}$
0.0044080.27477.060.08170.10.0089650.55577.68
0.0073830.47085.230.15172.80.010020.62477.04
0.0088150.53878.990.16176.60.012140.75677.04
0.0152000.92179.770.30180.40.013950.84779.550.27178.8
0.0168311.00681.060.31179.40.018101.08880.570.37183.0
0.0191961.17085.230.37178.20.020001.20080.700.32173.3
0.022531.33581.920.42181.40.024751.46582.020.44179.9
0.030931.82082.510.59184.00.029961.74783.420.56184.2
0.036432.13882.790.72185.60.035022.06982.140.64181.2
0.082124.65185.881.44186.30.039722.32383.070.74183.8
0.082174.68685.231.41184.20.049962.88584.250.92185.1
0.090475.11286.051.56185.90.059583.40285.25
0.071804.09085.41
0.079994.53385.841.43186.8
"} {"image_path": "images/8088cca50d21ba838133e39c288a74b7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
实际开始建设日 期今年投入生产日 期自年初累计完成新增固定资产(万元)本年投资计 划(万元)自年初累计完成投资额(万元)新增能力(或效益)
合 计其 中名 称计算单位自 年 初累计完成
建安工程设备工器具价值
其中:厂房工程84.6065.5029.0036.60棉 织 机677
纺织工艺设备39.2028.700.3028.40
八、建材工业373.00469.80248.60199.50
23.洛阳玻璃厂373.00469.80248.60199.50
其中:连续磨光295.80270.90220.8028.40
磨光车间110.50109.800.70
九、水 利2,097.135,968.475,957.985,550.00424.51
24.三门峡工程局560.801,620.001,677.701,512.8062.70
25.白尾山水库700.00707.00618.53灌溉面积万亩35
26.金堤河治理工程615.82714.88615.82574.16除涝面积\"100
27.涡河治理工程-406.00349.36342.00342.00\"\"18
28.小洪河治理工程-950.001,307.701,228.80
29.林县红旗渠19601966.4280.00280.00280.00280.00灌溉面积\"50
30.鸭河口灌渠1966.12301.91706.89301.91298.703.21\"\"31.3
"} {"image_path": "images/4573bdb8b4572e2ac9c353fb672b0dda.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
E (MeV)$\\sigma$ (mb)Elastic
$a_{0}$$a_{1}$$a_{2}$$a_{3}$$a_{4}$$a_{5}$$a_{6}$$a_{7}$$a_{8}$$a_{9}$
9.97$721\\pm 25$57.476.5103.5106.856.0-5.1
11.96$949\\pm 33$75.5116.9151.3151.1107.631.111.35.8-0.72.5
13.94$901\\pm 34$71.7134.2161.0157.5123.657.632.88.60.5-3.0
15.94$949\\pm 50$75.5154.8180.7179.1147.987.044.111.1
17.92$1061\\pm 75$84.4186.5229.3237.3219.4162.695.943.216.54.8
3.085 MeV Inelastic
9.97$57\\pm 2$4.521.031.09-0.121.16
3.68 + 3.85 MeV Inelastic
9.97$176\\pm 6$14.014.754.421.94-1.881.44
"} {"image_path": "images/20c04595954ff9062935a202f59879d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省別原審判法院受 理 件 數已 #未#
舊受新受駁#撤销另行判決
浙江高 等 法 院 第 一 分 院4444
高 等 法 院 第 二 分 院121264102
杭 縣 地 方 法 院3333
杭縣地方法院嘉興分院1111
杭縣地方法院吳興分院9 222
杭縣地方法院紹興分院1111
永 嘉 地 方 法 院2222
嵊 縣 縣 法 院1111
温 嶺 縣 法 院1111
安徽高 等 法 院772461
高等法院第一分院1111
前第一高等審判分廳1111
蕪 湖 地 方 法 院33221
前 定 遠 縣 公 署1111
江西高 等 法 院3333
前鄱陽縣司法委員會公署1111
鄱 陽 縣 政 府1111
南 康 縣 政 府1111
"} {"image_path": "images/fa1c23205a9b7a332eecd7f9fc45f8cd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "








O





,
















O
O







O













·

·
O
防每
平個
均病
次入
數隨











·

·
防每
平個
均病
次入
數隨










O
·
防每
平個
均病
次入
數隨
"} {"image_path": "images/df9a69c8db71f8bfe6706ff2266e5df7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Input parametersNumerical simulationEquation (15)Error (%)
WUG$\\bar σ$
$4.53 \\times 10^{-5}$$4.49\\times 10^{-10}$4339.2$1.30\\times 10^{-5}$1.601.600
$7.87 \\times 10^{-5}$1.601.600
$1.29 \\times 10^{-4}$1.601.600
$2.96 \\times 10^{-4}$1.601.600
$4.64 \\times 10^{-4}$1.601.6251.56
$5.64 \\times 10^{-4}$1.6951.7553.53
$6.31 \\times 10^{-4}$1.8631.8351.5
$7.99 \\times 10^{-4}$1.8852.016.89
$8.99 \\times 10^{-4}$2.052.112.97
$9.67 \\times 10^{-4}$2.172.1730.13
$1.06\\times 10^{-3}$ 2.292.2531.61
$1.13 \\times 10^{-3}$2.432.3114.89
$6.31 \\times 10^{-4}$$4.49\\times 10^{-10}$2983.2$1.30\\times 10^{-5}$1.971.9660.20
3435.21.931.9160.72
3887.21.91.8731.42
4791.21.8351.8021.79
5243.21.81.7721.55
$1.30 \\times 10^{-3}$$3.62 \\times 10^{-10}$4339.2$1.30 \\times 10^{-5}$2.482.6075.12
$4.22 \\times 10^{-10}$2.4252.4892.63
$4.82 \\times 10^{-10}$2.382.3910.46
$5.42 \\times 10^{-10}$2.362.3082.203
$6.01 \\times 10^{-10}$2.332.2373.39
$6.61 \\times 10^{-10}$2.122.1742.54
$7.21 \\times 10^{-10}$2.052.1183.31
$8.4 \\times 10^{-10}$1.982.0222.12
$9.6 \\times 10^{-10}$1.921.9421.14
1.30 $\\times 10^{-3}$$4.82 \\times 10^{-10}$4339.2$3.257 \\times 10^{-6}$2.12.0691.47
$2.606 \\times 10^{-5}$2.52.5783.12
$3.908 \\times 10^{-5}$3.22.9727.1
$5.212 \\times 10^{-5}$3.63.4663.72
$5.863 \\times 10^{-5}$3.783.7560.63
$6.515 \\times 10^{-5}$4.04.0812.0
$7.818 \\times 10^{-5}$4.84.8521.08
"} {"image_path": "images/c53926237fd30f55859f06cd8cec219c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Coal typeProximate analysis, %Ultimate analysis, %
MadAadVadFCadCadHadOadNadSad
LJ coal2.4913.0031.9952.5273.284.524.321.361.03
Ash fusion temperature, KQnet,ar, (kJ/kg)
DT ST FT28530
1703>1773>1773
"} {"image_path": "images/027d7194e4ec6ab7cbd6284c36ea1c40.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
缸径 DP≤125P≤180P=200, 250P=320
$d,\\ R_1$$b,\\ R_2$$d,\\ R_1$$b,\\ R_2$$d,\\ R_1$b$R_2$$d,\\ R_1$b$R_2$
4016202025203025304535
5020253035304535
6330354045405545405545
80
904045507060
1005060507060
1105060608570
125608570
14060707010080
15060707010080
1608011090
"} {"image_path": "images/a6b747f8a2b75c16850253fdf6063ae4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号机 构 全 称职 责 范 围负 责 人办 公 地 址邮 政 编 码电 话传 真电 子 信 箱
1吉林省财政厅政府采购管理工作办公室监 督 管 理闫 金 城长 春 市 建 设 街 3 号1300510431 - 8906568
长春市
2长春市财政局政府采购管理工作办公室监 督 管 理马公民长 春 市 西 民 主 大 街 11 号1300610431 - 85628820431 - 8562910
3九台市政府采购管理工作办公室监 督 管 理王庆山九 台 市 九 台 大 街 120 号1305000431 - 2325300
4榆树市财政局行政政法科监督管理孙德凤榆 树 市 华 昌 路 16 号1304000431 - 3624859
"} {"image_path": "images/1e5a431756188b11bf3a22b552bf5dc8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n
NRna$\\gamma$ITZRKZStartErgebnis
β(δ,a)Parameterφ(a)Parameterφ(a)
1361
$10^{-3}$177
29
0.02.718281.01774550.0279
0.0-0.0215433
0.00.6245476
0.00.1565275
0.0-0.3929232
0.00.0551986
146$10^3$
$10^{-3}$109
24
0.02.35041.00002300.000045
0.01.0000044
0.00.4994585
0.00.1665844
0.00.0434447
0.00.0085918
153$10^6$
$10^{-3}$21
6
0.20.051890.19017570.01569
0.10.1118580
1.61.7977438
155$10^6$
$10^{-3}$75
21
0.19017570.006260.18421190.00142
0.11185800.1184887
1.79774381.7127426
0.010.0142534
4.54.0202139
157$10^6$$10^{-3}$85
48
0.18421190.000660.17840810.00012
0.11848870.1212587
1.71274261.6296547
0.01425340.0170020
4.02021393.7884179
0.0020.0015203
6.86.3418213
"} {"image_path": "images/62baa3d4815acf50511c2365ea89b602.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
洛陽偃師
洛陽偃師
油業公會縣商會婦女會農會教育會縣立師範學生自治會商會飯館業公會木工業公會 薬業公會 屠行公會棉業公會粮行業公會雜貨業公會京貨業公會石業公會
團商體人團商體人團社體會團農體人團學
體術
團學
體術
仝右仝右仝右仝右仝右仝右仝右仝右團商
體人
團商
體人
"} {"image_path": "images/43093dfc06e564e57d23c40db27c9a5a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号额定功率(千 瓦)额定定子电压(伏)额 定 时$\\underline{\\text{最大转矩}}$
額定转矩
转子额定值
转速(转/分)定子电流(安)效率(%)功率因数($ \\cos\\varphi $)电 流(安)电 压(伏)
"} {"image_path": "images/926500b3682146d0ea48b53698b895f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
案二第案一第别案
參理陸
照條上
辦例交
理本通
案會管
理公
條路
例交
案通
 管





關經
 辦
 機












"} {"image_path": "images/304823caaec2fd560238fc1669b16ac5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n
nmLRSA H-1DifferencetH-2Differencet
MeanStd. dev.MeanStd. dev.
205142261501414046 110.895.953.651404658.6125.821.47
15446163311526315395
13676161531341513386
15750167061556715731
13633144931363313618
13265149871313913223
13774148531362813628
13968148861397313973
14456162181445214638
13036143001300613006
2010212072286021009157.856.258.8720911151.391.235.24
22927243022282422848
20072207001997919979
18857205881877618890
18939210591881718773
19608205101943919402
18723196371847918500
20504215802030320303
20561215112034820433
21506227222135221352
2020341193623334202117.3179.702.063428488.1209.521.33
31918342493199632026
34552358453447934479
32159337623172631902
34990363313484034605
32734353693278832697
33449349373305333053
32611333223247032800
34084355403396133961
32537340683246532465
"} {"image_path": "images/ab6b020104d70cd7d98c0b273bcce7a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
乾隆三十一年乾隆二十六年乾隆二十二年乾隆二十年乾隆十九年藥至縣志乾隆十五年乾隆十三年乾隆八年乾隆七年
江蘇新陽舉人唐瑩浙江山陰舉人黄斌浙江錢塘舉人夏#江蘇元和舉人尤秉元
向彭齡重慶府定遠縣歲貢徐懋歲隸滄州九姓司直貢車帝載官師夔州府萬縣歲貢余之燧#為縣歲貢
江蘇丹陽人何士芳順天大興人陶聳六卷四順天大興人盛焜
"} {"image_path": "images/48c39770040ef38a8e9be12307125fd2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
种类 C(%) Si(%) Mn(%) Cr(%) Mo(%) Ni(%)其他(%)热处理HRC$\\alpha_{\\mathrm{K}}$$(J·,cm^{-2})$组织应用
美国低碳耐磨合金钢0.25 ~0.350.5 ~1.50.6 ~1.50.50 ~2.000.20 ~0.50--------
28MoMn2VB${ }^{1}$0.25 ~0.310.3 ~0.81.4 ~1.8-0.20 ~0.40-V0.60 ~0.12B0.01 ~0.004水淬 + 低温回火--M锤头寿命同 Mnl3
30Cr2Mn${ }^{1}$0.28 ~1.1 ~0.8 ~1.80 ~0.30 ~--RE0.05淬火 + 低温回火50 ~15 ~M衬板寿命提高 30%
SiMoRE${ }^{1}$0.351.41.12.200.40--5425
ZGCrMoNb${ }^{1}$0.20 ~0.700.4 ~1.20.3 ~1.53.00 ~6.000.20 ~1.000 ~1.20Nb0.03Ta0.03空淬 + 回火45 ~5225 ~50M + B+ Ar衬板寿命提高 2 倍
25CrMoNi${ }^{1}$0.230.540.923.750.510.71Cu0.43A10.17空淬 + 回火45.0 ~48.030.0 ~50.0M + B+ Ar衬板寿命提高 2 倍
27CrMoNi${ }^{1}$0.270.850.751.471.400.92-- 900℃ ×1.5h 水淬+200℃×12h47.523.3M撑板
"} {"image_path": "images/4344316244026c4d67a1ccfeb0d12755.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号截面尺寸(mm)截面面积$\\left(\\mathrm{cm}^{2}\\right)$理论重量$\\mathrm{(kg} / \\mathrm{m)}$外表面积(m$^{2}$/m)惯性矩(cm$^{4}$)惯性半径(cm)截面模数(cm³)$\\tan{\\alpha} $重心距离(cm)
BbdrI$_{x}$I$_{x1}$I$_{y}$I$_{y1}$I$_{u}$i$_{x}$i$_{y}$i$_{u}$W$_{x}$W$_{y}$W$_{u}$x$_{0}$y$_{0}$
L90×56×59056597.2125.660.28760.512118.329.511.02.901.591.239.924.213.490.3351.252.91
668.5576.720.28571.014621.435.612.92.881.581.2311.74.964.130.3841.292.95
779.8817.760.28681.017024.441.714.72.861.571.2213.55.704.720.3821.333.00
8811.188.780.28591.019427.247.916.32.851.561.2115.36.415.290.3801.363.04
L100×63×6100636109.5187.550.32099.120030.950.518.43.211.791.3814.66.355.250.3941.433.24
7711.118.720.32011323335.359.121.03.201.781.3816.97.296.020.3941.473.28
8812.589.880.31912726539.467.923.53.181.771.3719.18.216.780.3911.503.32
101015.4712.10.31915433347.185.728.33.151.741.3523.39.988.240.3871.583.40
L100×80×61008061010.648.350.35410720061.210331.73.172.401.7215.210.2 8.370.6271.972.95
7712.309.660.35412323370.112036.23.162.391.7217.511.79.600.6262.013.00
8813.9410.90.35313826778.613740.63.142.371.7119.813.210.80.6252.053.04
101017.1713.50.35316733494.717249.13.122.351.6924.216.113.10.6222.133.12
L110×70×61107061010.648.350.35413326642.969.125.43.542.011.5417.97.906.530.4031.573.53
7712.309.660.35415331049.080.829.03.532.001.5320.69.097.500.4021.613.57
8813.9410.90.35317235454.992.732.53.511.981.5323.310.38.450.4011.653.62
101017.1713.50.35320844365.911739.23.481.961.5128.512.510.30.3971.723.70
L125×80×71258071114.1011.10.40322845574.412043.84.022.301.7626.912.09.920.4081.804.01
8815.9912.60.40325752083.513849.24.012.281.7530.413.611.20.4071.844.06
101019.7115.50.40231265010117359.53.982.261.7437.316.613.60.4041.924.14
121223.3518.30.40236478011721069.43.952.241.7244.019.416.00.4002.004.22
"} {"image_path": "images/08a22164142364b45120980ef940ccad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "


侯 平
服 節
侯 廣
便 釐
王 菑
子 川
  孝
王 菑
子 川
  孝
封 卯 丁 月 四封 卯 丁 月 四
嗣 侯
免 嘉
護 節
侯 嗣
嗣 侯
免 宇


       ︵
字此日平平齊卓補
 脫侯廣縣郡信注
       ︶
 廣國注有無曰吳

     ︵
見 日 先 補
志 廣 謙 注
     ︶
"} {"image_path": "images/57561aeee870c66869d2c74b19fa3c33.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Diptera
Blepharoceridae15
Tipulidae5
Psychodidae1
Culicidae1
Dixidae13
Simuliidae5
Chironomidae2
Ceratopogonidae5
Tabanidae5
Syrphidae1
Athericidae13
Empididae6
Ephydridae3
Muscidae1
Gastropoda
Lymnaeidae3
Melaniidae3
Planorbidae3
Physidae3
Ancylidae6
Hydrobiidae3
Pelecypoda
Sphaeriidae3
Unionidae6
Total Score
Number of families
Average Score pertaxon(ASPT)
"} {"image_path": "images/9923feafabfac86d1121abbf16706ed3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Tekijät
Otsikko
Sivumäärä
Aika
Anniina Jääskelä, Jenni Koskinen, Saana Solla
Mielenterveyskuntoutujien toivoa edistävät tekijät
34 sivua +3 liitettä
10.11.2017
TutkintoSairaanhoitaja(AMK)
KoulutusohjelmaHoitotyön koulutusohjelma
SuuntautumisvaihtoehtoSairaanhoitotyö
OhjaajaLehtori, Niina Eklöf
Tämä opinnäytetyö on osa Metropolia ammattikorkeakoulun ja Niemikotisäätiön yhteistyössä toteutettamaa Recovery-hanketta, jonka keskeisiä periaatteita ovat toivo, osallisuus, identiteetti, voimaantuminen, usko sekä merkityksellinen elämä. Opinnäytetyön tarkoituksena oli keskittyä Recovery eli toipumisorientaation elementeista toivoon kuvaamalla tekijöitä, jotka edistävät mielenterveyskuntoutujen toivoa heidän toipumisprosessissaan. Tavoitteena oli kehittää mielenterveyshoitotyötä tunnistamalla toivoa edistävät tekijät ja samalla lisätä ymmärrystä sen merkityksestä osana mielenterveyskuntoutujan toipumisprosessia.

Tutkimusmenetelmänä käytettiin kuvaavaa kirjallisuuskatsausta. Tiedonhaku suoritettiin Cumulative Index to Nursing and Allied Health Literature (CINAHL)-, Pubmed- ja Medic-tietokannoista. Aineistoon valikoitui yhteensä 19 englanninkielistä alkuperäistutkimusta. Aineisto analysoitiin käyttämällä induktiivista eli aineistolähtöistä sisällönanalyysia.

Kirjallisuuskatsauksen valikoituneiden tutkimusten tuloksista muodostui yhteensä kaksi ylakategoriaa, joita olivat toivoa edistävät sisäiset ja ulkoiset tekijät. Toivoa edistävät sisäiset tekijöitä olivat yksilön henkilökohtaiset ominaisuudet, subjektiivinen tunne yhteisöön kuulumisesta, usko toipumisen mahdollisuuteen sekä toipumista edistävien muutosten tekeminen. Ulkoisia tekijöitä puolestaan olivat läheiset ihmissuhteet, vertaistuki, ammatillaisten tarjoama tieto ja tuki, toipumista edistävien aktiviteetteihin osallistuminen, hengellisiin sekä ympäristö.

Kaiken kaikkiaan tulokset osoittivat toivon olevan hyvin yksilöllinen ja henkilökohtainen ilmiö, minkä vuoksi sitä edistävät tekijät ovat vahvasti yksilön personoonaan sidottuja. Hyödynöten tutkimuksen tuloksista ilmenneltä toivon lähteitä yksilötasolla, yksilön omat tarpeet ja henkilökohtaiset ominaisuudet huomioiden, voidaan toivon lisäksi edistää myös yksilön kokonaisvaltaista hyvinvointia. Jatokassa mielenterveyskuntoutujan toivoa tarkasteleva tutkimus taivatan toivoa vahvistavaa ylläpitävistä hoitotyön auttamismenetelmiä. Lisäksi toipumisorientaation vaikutusta mielenterveyskuntoutujan toivon kokemiseen ja jatkossa hyödyllistä tutka tarkemmin kyseisen toimintamallin kehittämiseksi ja tehokkuuden vahvistamiseksi.
Avainsanattoivo, toipuminen, mielenterveys, recovery-malli, kirjallisuuskat-saus
"} {"image_path": "images/247789fad622d9fbd0733d86660d5898.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "














處 法






















一上


下中











$\\bigcirc$

$\\bigcirc$

二一
六九
四一



"} {"image_path": "images/a983de121cd9a41bf2de0db8a11e3b78.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Telekomunikační věstník
Částka 1Ročník 1999 Strana 3
typ zařízení
výrobce/držitel rozhodnutí
zastupe dritele v CR
adresa
platnosť doroku*
1112 telefonní přístroj s frekvenční a impulzní volbouCONCORDE 520BTELSPEKTRUM sro31.12.2001
CONCORDI TELCOMMUNICATION LTD, Ons: CONCORDI TELCOMMUNICATION Lat1 Zeyerova 18,772 00 Olomouc
CONCORDE 300
CONCORDE TELECOMMUNICATION LTD. Cina CONCORDE TELECOMMUNICATION LTD.
TELSPEKTRUM, s.r.o.
Zeyerova 18, 772 00 Olomouc
31.12.2001
KX-TS5CX-W; KX-TS5CX-B; KX-TS5CX-R
MATSUSHITA Electric Industrial Co., Ltd., Japanski MATSUSHITA Electric Industrial Co., Lad.
PANASONIC CZECH REPUBLIC, spol. s to.
Krakovská 9, 110 00 Praha I
1126 telefonni přístroj na mince a karty
MiKaTeA - 4 FP 12255/C
TESLA Stropkov a.s., Slovensko/TESLA Stropkov a.s.
Tesla Stropkov - Čechy a.s.
Gebaurova 1025, 500 02 Hradec Králové
31.12.2001
1131 telefonní přístroj bezšárový v pásmu CT0
G-Tel Angelo 12
DINO TRADING spol. s r.o., Česká republika
DINO TRADING spol. s r.o.
Cimburkova 16/369, 130 00 Praha 3
31.12.2001
1132 telefonní přístroj bezšárový v písmu CT1
TELSON model TCP -999
TELSON ELECTRONICS CO.,LTD., Korea / TELSON ELECTRONICS CO.,LTD.
INTERBELL, sro.
Oldřichovice 738
31.12.2001.
739 58 Trinec
1134 telefonní přístroj bezšáirový v pásmu DECT
DCT-1100R
Hansa Corporation/Telecommunication Div.. Korea / Hansa Corporation/Telecommunication
INTERBELL, sro.
Oldřichovice 738
31.12.2001.
739 58 Trinec
Ellipse; Satellite DECT
KIRK telecom, Dánsko pro GN Netcom, Dánsko/GN Netcom as
SNYZE, spol. sro.
Kosmonautů 6, 77231 Olomouc
1142 záznamové zařízení kompaktní s telefonním přístrojem
CONCORDE 2000TELSPEKTRUM,sro.31.12.2001
CONCORDE TELECOMMUNICATION Ltd., China, Malaysia | CONCORDITE TELECOMMUNICATION Ltd.Zeyerova 18, 772.00 Olomouc
KENT 100
VERIS s.c., Polsko/VERIS s.c.
První telefonní společnost s r.o.
U studně 7, 586 05 Jihlava
31.12.2001
KENT300
VERIS s.c., Polsko/VERIS s.c.
První telefonní společnost s r.o.
U studně 7, 586 05 Jihlava
31.12.2001
1163 poplachová ústředna
RP 296
ROKONET ELECTRONICS Ltd, Iranél / ROKONET ELECTRONICS Lad.
Max - Tech, spol. s r.o.
V mýtě 1338, 252 28 Černosice
31.12.2001
SC 800; SC 1600
SCANTRONIC International, USA/SENTROL INC.
OLYMPO controls s.r.o
Havránkova 33, 619 00 Brno
31.12.2001
1164 komunikátor
E 062-43
Ademco Microtech Ltd., Velká Británie/Ademco Microtech Lad.,
OLYMPO controls s.r.o.
Havránkova 33, 619 00 Brno
31.12.2001
1170 analogové účastnické rozhraní rádiového zařízení
L1877A
MOTOROLA Inc., USA/MOTOROLA Inc.
MOTOROLA s.r.o.
Klimentská 46, 11002 Praha 1
31.12.2001
1211 faksimilní zařízení kompaktní
CANON L 800, model H 12101; CANON L 900, model H 120673
CANON Inc., Japansk/ CANON Inc.
CANON CZ s.r.o.
Tržiště 13, 110 00 Praha 1
31.1.2001
MultiPASS C20, MultiPASS C50CANON C2sro31.12.2000
CANON Inc., Japonsko/CANON Inc.Tržiště 13, 110 00 Praha 1
"} {"image_path": "images/df570fd0336ea7829cab2bbabab86aef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
andalusierfarbig
1.0 jung
g 9210343Heumüller D. 50
0.1jung
s g 94 Z10344He um üller D.50
"} {"image_path": "images/829ffaff0f70a098223090e7226f9301.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Product
Source
Year
Age group All ages %total seles
121314 151617181920-2425-2930-3435-3940-4440-4950-5455-5960-6465-6970-7475-7980+
72 2 TC4.26.26.86.45.82.15.174%T
74 2 TC4.76.27.17.36.22.55.575%T
76 2 TC4.37.16.77.26.82.65.575%T
78 2 TC4.26.26.86.76.12.75.376%T
80 2 TC3.85.87.07.16.62.55.477%T
82 2 TC3.35.75.85.95.82.54.679%T
84 2 TC3.74.75.45.55.52.64.478%T
"} {"image_path": "images/93155dc20d90758efab02423829f6f1b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
拱轴分点横坐标$\\mathrm{x} / \\mathrm{m}$纵坐标$y / m$ $\\tan\\theta$ $\\sin\\theta$ $\\cos\\theta$$F_{\\text{s}}{}^0/\\text{kN}$$M / \\mathrm{kN} \\cdot \\mathrm{m}$$F_{\\text{s}}/\\text{kN}$$F_{\\text{N}}/\\text{kN}$
$M^{ 0}$$-F_Hy$M$\\mathrm{F}_{\\mathrm{S}}^{0} \\cos \\theta$$-F_{\\mathrm{H}} \\sin \\theta$$F_{\\text{s}}$$ F_{\\mathrm{s}}^{\\theta} \\sin \\theta $$F_{\\mathrm{H}} \\cos \\theta$$F_{\\text{ N}}$
00.000.001.3330.8000.600105.000.000.000.0063.00-66.00-3.0084.0049.50133.50
11.501.751.0000.7070.707105.00157.50-144.4013.1074.20-58.3015.9074.2058.30132.50
23.003.000.6670.5550.832105.00
5.00
315.00-247.5067.5087.40
4.20
-45.8041.60
-41.60
58.40
2.80
68.60127.00
71.40
34.503.750.3330.3160.9485.00322.50-309.4013.104.70-26.10-21.401.6078.3079.90
46.004.000.0000.0001.0005.00330.00-330.000.005.000.005.000.0082.5082.50
57.503.75-0.333-0.3160.948-25.00315.00-309.405.60-23.7026.002.407.9078.3086.20
69.003.00-0.667-0.5550.832-55.00255.00-247.507.50-45.8045.800.0030.5068.6099.10
710.501.75-1.000-0.7070.707-85.00150.00-144.405.60-60.1058.30-1.8060.1058.30118.40
812.000.001.333-0.8000.600-115.000.000.000.00-68.9066.00-2.9092.0049.50141.50
"} {"image_path": "images/8a00361616bc33cd30c808c8c56b941c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
插秧机型
苗类
项目
2ZT-9356S402-APF 451-90RW
中苗小 苗中苗小 苗中 苗小 苗
行距 (厘米)3028.530
平均穴距 (厘米)111112
每穴占地面积 (厘米)$^{2}$330313.5360
每亩穴数202122127618528
每盘横向分秧次数18241826182024
每盘纵向送秧次数3641485836414858364141484858
每盘可插穴数64873811523926487381248150864873881096011521392
每亩用盘数3228181533291714292523201614
"} {"image_path": "images/2ee571bf15327938e0b530fa359ee23a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
第十五岸壁第十四岸壁第三岸壁第二岸壁第一岸壁所在地點
棟數
四,七五〇·四六平方米六,三八〇·九六平方米四,三一二·九九平方米四,一二〇.九六平方米二,七七六·八〇平方米面積
''鋼筋混凝土三層''鐵骨凝土二層鋼筋混凝土構造
備考
"} {"image_path": "images/230cf0b1ea456798257945fe1c81a873.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别
人数
年份
全校教职工总数校 本 部 教 职 工附 属 机 构 人 员
总计行政人员教 师教辅人员工勒人员总计科研机构校办工厂印刷厂中小学医务所其他
人数占总计%人数占总计%人数占总计%人数占总计%
196217371560376247735014092711717714532
1963173015803222080451184122701715010149
1964161714773092177052183122151514011525
1965167914833082174750175122531719614947
196616161420341247145011332521819614947
19671575693
19681647730
19691519665
19702811926
19712929833
19723109814
19733031838
197430661766423248724911163602013001175125
19753091931
19763269212197446114827972149
1977331023268003410774618282671198473330874886
1978269818783772098653228122871582040617268948
1979270819212711410625526314325177874455630102514
19802883198829115107254125650025895215514610354120
19812914211533916107151135657027799344364610755121
"} {"image_path": "images/97f8ad7a20bdf588e2fff4b99b42f3c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NonAlig16
3
23
4
41
8
76
14
16
3
23
5
42
9
79
14
P2Aligned30
12
43
15
67
20
117
22
26
4
38
5
67
10
142
22
NonAlig25
9
39
12
72
13
126
18
21
3
31
4
57
7
122
23
P3Aligned30
6
45
7
104
23
153
19
36
17
51
18
82
19
119
29
NonAlig25
9
43
17
105
16
141
24
23
4
35
5
57
9
98
18
P4Aligned29
5
47
8
81
22
111
12
391
0
61
11
132
42
190
13
NonAlig20
6
40
7
59
16
87
15
32
9
48
13
96
28
192
21
"} {"image_path": "images/c90da54c5cd29794bdf111071229c7f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品 名1980年1981年1982年1983年1984年1985年
小 计其中市区小 计其中市区小 计其中市区小 计其中市区小 计其中市区小 计其中市区
粮食合 计181941974193992313451424319-82640134131247273532928
小 麦447911842664919013392-1342847838192131328
稻 谷37182145691956030212-1921408313214614
大 豆205720030743361586161404742211457100
杂 粮40612018313234321612552116389109 3750352
山 芋 干7534151556591410141922942-2481261811101510719534
油脂折 油 合 计680.6113.6871179134.826.7102.640.2387.784.8947.2266.6
折 合 生 油236.836.82064632.7 4.527.57.773.623.8440.461
其中:生仁614.996.953012186.111.971.720.4194.4631153.2154.8
菜 籽 油188.34.3415-112.119.122163.2
折合芝麻油34.35.394421.41.164.740.623.814.340.234.8
其中:芝麻80.510.5197800.4140.787.839.729.3 78.673.2
豆 油217.566.51539193.921.11.9-8.211020.5124.449.8
棉 油3.70.7317.86.2153.419.3103.841.4
其 他0.20.17.86.917.416.4
"} {"image_path": "images/ca26986e650dcaee2e7ca1d51854faa8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
연 도별월 별금 속 제 품, 기 계 및 장 비
금속제품일반기계 및 장비전 기 및전자기기
기타금속제 품기관 및 터 어빈산업용기계금속공작 가공기계사무회계용기 계기 타 일 반기계및장비
품 목 수2955126831778
가중치12.439.40.117.75.71.014.969.5
1986101.6101.8100.0101.3104.5100.5101.498.3
1987104.5105.3100.0104.7110.2101.1104.498.3
1988107.6111.7100.0107.1115.2100.5116.6100.7
1989112.9119.7107.5110.4120.0100.6132.0101.0
1990115.9123.6108.4114.2122.4100.0136.9101.5
6116.4123.3108.4113.7122.6100.0136.6101.4
7116.5123.4108.4113.7122.7100.0136.8101.4
8116.6123.6108.4114.1122.7100.0136.9101.8
9116.8124.1108.4115.2122.7100.0136.9102.3
10116.8124.2108.4115.4122.7100.0136.9102.5
11116.9124.4108.4115.8122.7100.0136.9102.5
12116.9125.2108.4115.8122.7100.0139.2102.5
1991. 1119.1126.6108.4116.1123.899.4142.1102.5
2119.3127.4108.4116.3127.399.4142.6102.3
3121.7128.8108.4116.3127.399.4146.2102.3
4122.2129.4108.4116.7128.999.4146.7102.3
5122.4130.6108.4118.4129.299.4147.9102.5
6122.5130.7108.4118.5129.499.3148.0102.3
"} {"image_path": "images/f08be44b294fddf70d1706c3a547fb1f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
位 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0
ID A A A
复位值 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
ID RW FieldValue ID描述
A R DAI设备地址的匹配索引
设备地址索引 (n) ,可获取地址匹配
"} {"image_path": "images/429fb814a1411f9b6737a6aae84ca9a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n
qtransform ring Mroot Wtransform length Napproximate output word length Nb of bitsL$_u$Nb of real additions $Q_{1}$
prime2$^q-1$-22qq$2q^{2}$Mersennetransform
$2^t$
$2^t$
${2^2}^t$+1
${2^2}^t$+1
2
$\\sqrt{2}$
$2^{t+1}$
$2^{t+2}$
$2^t$
$2^t$
$ \\begin{matrix}( t + 1 ) 2 ^ { t + 1 } \\\\ ( 4 t + 9 ) 2 ^ { t } \\end{matrix} $Fermat number transforms
$q_1^2$
$q_1 q_2$
$ \\begin{matrix}\\left( 2^{q_{1}^{2}}-1\\right) /\\left( 2^{q_{1}}-1\\right) \\\\ \\left( 2^{q_{1} q_{2}}-1\\right) /\\left( 2^{q_{1}}-1\\right)\\end{matrix} $-2
$-2^{q1}$
$ \\begin{array}{l}2 q_{1}^{2}\\\\ 2 q_{2}\\end{array} $$ \\begin{matrix} q _ { 1 } ( q _ { 1 } - 1 ) \\\\ q _ { 1 } ( q _ { 2 } - 1 ) \\end{matrix} $$\\begin{matrix} 2 q _ { 1 } ^ { 2 } ( 2 q _ { 1 } - 1 ) \\\\ 2 q _ { 2 } ^ { 2 } \\end{matrix} $pseudo Mersenne transforms
$ \\begin{array}{l}\\text { prime } \\\\ q_{1}^{2} \\\\ q_{1} q_{2} \\\\ q_{1} 2^{t}\\end{array} $$(2^q + 1) / 3$
$(2^{q_1^2} + 1) / (2^{q_1} + 1)$
$(2^{q_1 q_2} + 1) / (2^{q_1} + 1)$
$(2^{q_1 2^t} + 1) / (2^{2^t} + 1)$
2
2
$2^{q_1}$
2
$2q$
$2q_1^2$
$2q_2$
$q_12^{t+1}$
$ \\begin{array}{c}q-2\\\\ q_{1}\\left(q_{1}-1\\right)\\\\ q_{1}\\left(q_{2}-1\\right)\\\\ 2^{t}\\left(q_{1}-1\\right)\\end{array} $$ \\begin{array}{c}2 q^{2}\\\\ 2 q_{1}^{2}\\left(2 q_{1}-1\\right)\\\\ 2 q_{2}^{2}\\\\ q_{1} 2^{t+1}\\left(q_{1}+t\\right)\\end{array} $pseudo Fermat number transforms
prime2$^q-1$j+18qq$4 q(4 q+9)$complexMersennetransform
$ \\begin{array}{l}q_{1}^{2}\\\\ q_{1}q_{2}\\end{array} $$ \\left(2^{q_{1}^{2}}-1\\right) /\\left(2^{q_{1}}-1\\right) $
$(2^{q_1 q_2} - 1) / (2^{q_1} - 1)$
$j + 1$
$(j + 1)^ {q_1}$
$\\ 8 q_{1}^{2}$
$ 8 q_{2}$
$ \\begin{array}{l}q_{1}\\left(q_{2}-1\\right)\\\\ q_{1}\\left(q_{2}-1\\right)\\end{array} $$ \\begin{matrix} 4 q_{1}^{2}\\left( 8 q_{1}+5\\right) \\\\ 4 q_{2}\\left( 4 q_{2}+9\\right) \\end{matrix} $complex pseudo Mersenne transforms
$ \\begin{array}{r}\\text { prime } \\\\ q_{1}^{2} \\\\ q_{1} q_{2}\\end{array} $$(2^q + 1)/{3}$
$(2^{q_1^2} + 1)/(2^{q_1} + 1)$
$(2^{q_1 q_2} + 1)/(2^{q_1} + 1)$
$ \\begin{array}{c}j+1 \\\\ j+1 \\\\ (j+1)^{q_{1}}\\end{array} $$ \\begin{array}{l}8 q \\\\ 8 q_{1}^{2} \\\\ 8 q_{2}\\end{array} $$\\begin{array}{r}q-2 \\\\ q_{1}\\left(q_{1}-1\\right) \\\\ q_{1}\\left(q_{2}-1\\right)\\end{array}$$ \\begin{align*}4 q(4 q+9) \\\\ 4 q_1^2\\left(8 q_1+5\\right) \\\\ 4 q_2\\left(4 q_2+9\\right)\\end{align*} $complex pseudo Fermat number transforms
"} {"image_path": "images/63ec4d157c90e066657a3c313caf797b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Stn-Nr.IDAbsenderAuBerungBeschluss der Verbandsversammlung vom 08.12.2016
cherte Wohnbauflächen für den Planungshorizont des Regionalplans(bis 2030) im Kernort Herbolzheim vorhanden. In den letzten 6 Jahrenhat die Stadt Herbolzheim 5 Wohnbaugebiete (Herrengüter I und II - 106Bauplätze -, Schörlinsmatten I und II - 19 Bauplätze - sowie Rotacker-weg - 12 Bauplätze -) entwickelt, erschlossen und komplett veräußert(136 Bauplätze). Derzeit hat die Stadt Herbolzheim keine Wohnbauflä-chen verfügbar. Im Flächennutzungsplan sind 4 Wohnbauflächen miteiner Größe von 9,63 ha dargestellt:- H 1, Herrengüter West 2,25 ha- H 9, Herrengüter V 2,52 ha- H 3, Herrengüter IV 2,48 ha- H 2, Rotzenhalden 2,38 haNach der Sommerpause soll die Aufstellung des Bebauungsplans Her-rengüter West in Angriff genommen werden. Aufgrund der äußerst star-ken Nachfrage bei den letzten Baubebieten und der weiter anhaltendenstarken Nachfrage ist zu erwarten, dass das Baugebiet HerrengüterWest innerhalb einer sehr kurzen Zeit ebenfalls vollständig veräußertsein wird.Eine ausreichende Flächenreserve für Wohnbauflächen für den Pla-nungshorizont des Regionalplans (bis 2030) im Kernort Herbolzheimergibt sich auch nicht durch \"weiße Flächen\" östlich der Bahnlinie, dienicht mit einem regionalen Grünzug oder einer regionalen Grünzäsurbelegt sind. Zwar hat die Stadt Herbolzheim die Möglichkeit, nördlich derFläche H1 noch auf eine ca. 3 ha große \"weiße Fläche\" zurückzugreifen,die nicht mit einem regionalen Grünzug oder einer regionalen Grünzäsurbelegt ist. Dagegen scheidet eine Entwicklung nördlich der Wohnbau-fläche Rotzenhalden aus. Dies ergibt sich daraus, dass sich dort ehe-malige Bergbauflächen befinden, die einer Entwicklung als Wohnbau-fläche entgegenstehen. Gleichwohl ist zu erwarten, dass die durch Flä-chennutzungsplan verfügbare Wohnbaufläche sowie die oben genannte\"weiße Fläche\" nördlich der Fläche H1 spätestens 2025, d. h. innerhalbdes Planungshorizonts der Regionalplanfortschreibung vollständig ver-äußert sein werden.Eine weitere Wohnbauflächen-Entwicklung der Stadt Herbolzheim istnur in Richtung Norden möglich. Die Entwicklungsmöglichkeiten vomKernort Herbolzheim werden durch folgende Parameter beschränkt:- Im Westen durch die Bahnlinie, die A 5, überregionale Versorgungs-leitungen (Gasfernleitungen, Stromtrassen) sowie durch einen regiona-len Grünzug.- Im Süden klare Begrenzung durch das Gewässer Bleichbach; Keinrealistischer Entwicklungsspielraum in Richtung Bleichbach, die dortbestehenden Flächen sind als Gewässerstandstreifen ökologisch sohochwertig, dass der zu erbringende Ausgleich sehr hoch wäre. Daherist eine Entwicklung dieses Bereiches weder ökologisch noch ökono-mmisch sinnvoll.nen Naturschutzgebiets \"Steinbruch Ehrleshalden\" in den großräumigenFreiraumzusammenhang und seinem Umgebungsschutz.Die gegenüber ihrer Äußerung im ersten Beteiligungsverfahren (ID4693) leicht verkleinerte Forderung der Stadt Herbolzheim nach Rück-nahme der Grünzäsur um 250 m (ca. 10 ha) zugunsten einer Wohnbau-flächenentwicklung würde in diesem für verschiedene Freiraumfunktio-nen wichtigen Bereich zu einer Verringerung der Freiraumbreite auf ca.950 bis 1000 m führen. Auch wenn damit die generelle Zielbreite fürGrünzäsuren noch (knapp) eingehalten wäre, würde die siedlungstren-nende Funktion des Freiraumkorridors hierdurch weiterhin gemindertund die anhaltende Tendenz zur bandartigen Siedlungsentwicklung imBereich der Landesentwicklungsachse zwischen Freiburg und Offen-burg verstärkt werden.Vor allem fehlt weiterhin eine tragfähige Begründung für eine Rücknah-me des Freiraumschutzes auch in dieser Größendimension. Die derzeit- auch unter dem Einfluss des aktuellen Flüchtlingszustroms - zu ver-zeichnende Einwohner-und Wohnbauflächenentwicklung der StadtHerbolzheim wird gesehen und die erfolgreichen Bemühungen der Stadtum konsequente Mobilisierung von baulichen Innenentwicklungspoten-zialen sind ausdrücklich zu würdigen. Dass eine darüber hinausgehendeWohnbauflächenentwicklung des Kemorts in erster Linie in nördlicherRichtung erfolgen kann, ergibt sich zwangsläufig aus der räumlichenSituation. Gleichwohl decken sich die in der Äußerung enthaltenenAussagen zum mittelfristigen Wohnbauflächenbedarf und die darausabgeleitete Forderung zur Änderung des Offenlage-Entwurfs des Regi-onalplans nicht mit den Inhalten und Begründungen des aktuellen Fort-schreibungsentwurfs des Flächennutzungsplans des GVV Kenzin-gen-Herbolzheim mit Zieljahr 2030 (Stand Frühzeitige Beteiligung01.07.2015). Zur Deckung des Wohnbauflächenbedarfs des Kernorts fürdie nächsten 15 Jahre werden im aktuellen Flächennutzungsplanentwurfdie in der Äußerung genannten vier geplanten Wohnbauflächen amnördlichen Siedlungsrand von Herbolzheim mit einer Gesamtfläche vonknapp 10 ha darstellt. Sie stehen vollständig im Einklang mit dem gel-tenden Regionalplan sowie mit dem Offenlage-Entwurf des Regional-plans. Als Ergebnis der frühzeitigen Beteiligung zum Flächennutzungs-plan zeichnet sich ab, dass die zugrunde gelegten mittelfristigen Wohn-bauflächenbedarfe, auch jene der Stadt Herbolzheim, vermutlich nachunten zu korrigieren sind. Darüber hinaus verbleiben allein westlich derB 3 zwischen der geplanten Grünzäsur und den im FNP-Entwurf darge-stellten geplanten Wohnbauflächen nicht mit regionalplanerischen Fest-legungen belegte \"weiße\" Flächen (nördlich \"Herrengüter IV\" und nörd-lich \"Herrengüter West III\") in einer Größenordnung von ca. 4 ha, dieeiner weitergehende Wohnbauflächenentwicklung des Kernorts zurVerfügung stehen.Zusammenfassend ergibt sich, dass der Offenlage-Entwurf des Regio-
"} {"image_path": "images/8733b57852f2d3b5c9ce3b1e8e6446a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
E' E☰AMHNO
$\\alpha/\\alpha$КуðикóşMAΘHMATAKMΘEΦEnᴍ
1CIE 512ΘEMEAIQEEIE KAIFEQTEXNIKA EPTAME4261906
2CIE 521ΘAAAZZIA YAPAYAIKHKAI AIMENIKA EPTAME4041605
3CIE 531ANTIZEIZMIKH TEXNOAOFIAME3031204
4CIE 541ΔΙΑΧΕΙΡΙΣΗ ΕΡΓΟΤΑΞΙΩΝ ΚΑΙΜΗΧ/ΤΑ ΤΕΧΝΙΚΩΝ ΕΡΓΩΝΔONA5052007
5CIE 552OAONOIIA IIME2241104
6aCIE 561aΦΡΑΓΜΑΤΑ ΚΑΙΔΙΕΥΘΕΤΗΣΕΙΣ ΠΟΤΑΜΩΝME3031204
6bCIE 561bΣΙΔΗΡΟΔΡΟΜΙΚΗ
∑YNOAO2142590030
"} {"image_path": "images/32842a536afce8a90a295011a75fdf9e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "


十 矦 信 降 以
二 千 太 矦 匈
戸 四 子 故 奴
  百 之 韓 相
  三 子 王 國
百 孽 降 以
三 子 故 匈
十 矦 韓 奴
七 千 王 相
戸 二 信 國





矦 哀 子 丙 月 六 年 六 十  七
年 元 之 澤 矦 年 七 元 後  一
元 頹 矦 子 月 年 十
年 當 韓 莊 丙 六 六 八
鄲 巳
元 矦
年 孫

年 元 則 矦 年 元 前 十
          六


國不不詐之矦四元 十
除敬從病坐澤年朔 五
除後薨矦五元 十
 國無則年朔 六
"} {"image_path": "images/1df61eb2c31db4e48571c851b4245af4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
[5,85 AH]. - ISBN 978-80-263-1359-5.
Social exclusion of the Roma ethnic group in the interests of social work /Zuzana Budayová ; Jozef Jarab, Jozef Králik. - Warszawa : FUNDACJA ARTprzeciw przemocy. 2017. - 107 s. - ISBN 978-83-949225-0-4.AAA
Adaptation of Senior Citizens to Conditions in Social Care Facilities / Janka Bursová, Zuzana Budayová ; rev. Králik Jozef, Szarková Miroslava et al.. - 1.wyd. - Warszawa : Uczelnia Warszawska im. Marii Skłodowskiej - Curie, 2017. -107 s. - ISBN 978-83-937651-6-4.AAA
Animátorstvo ako forma dobrovoľníctva [elektronický zdroj]: osobnostné aodborné predpoklady, motivácia, prinosy a formácia animátorov / MichaelaŠufová (Autor) ; Radoslav Lojan (Recenzent), Ján Jenčo (Recenzent). - 1. vyd.- Ružomberok : Verbum, 2017. - CD-ROM, 69 s. - elektronická monografia. -Názov z hlavnej obrazovky. - Požiadavky na systém: Windows 95 a vyššie; CD-ROM mechanika. - ISBN 978-80-561-0449-1AAB
Uskutočňovanie preventívneho systému dona Bosca v saleziánskych centrách /Lenka Urbanová (Autor) ; Anton Fabian (Recenzent), Lýdia Lešková(Recenzent), - 1. vyd. - Ružomberok : Verbum - vydavateľstvo KU, 2016. - 100s. - ISBN 978-80561-0393-7.Rec. v: Urbanová, Lenka: Uskutočnovanie preventívneho systému donaBosca... / Lýdia Lešková (Autor). - Ružomberok : Verbum - vydavateľstvo KU,2017. - ISBN 978-80561-0393-7.AAB
Jednotný katolícky spevník - výskum postojov k najspievanejšej piesňovejzbierke na Slovensku : Pramenná publikácia / Amantius Akimjak, RastislavPodpera ; rec. Boháč Vojtech, Ragan Gabriel. - 1. vydanie. - Levoča :Vydavateľstvo MTM, 2017. - 124 s. - vedecká monografia - výstup z projektuKEGA 011KU-4/2015 „Jednotný katolícky spevník a vzťah Slovákov k tomutovýznamnému hudobno-duchovnému dedičstvu“ . - ISBN 978-80-89736-62-1.AAB
Explózia a expanzia pokladu Cirkvi / Jozef Jurko (Autor) ; Gabriel Ragan(Recenzent), Pavol Dráb (Recenzent), Štefan Lenčiš (Recenzent). - 1. vyd. -Kapušany : Bens, 2017. - 188 s. [8,34 AH]. - ISBN 978-80-89679-26-3.AAB
Wzrostający wskaźnik bezdomności w wymiarze pracy socjalnej / JankaBursová ; rec. Miroslaw Babiarz, Sławomir Koziej, Amantius Akimjak.In: Aktualne kierunki w badaniach, edukacji i praktyce nauk społecznych I. / red.Wiesław Garbaczak, Sławomir Mazur, Monika Ostrowska. - Katowice ;Wydawnictwo Scientia, Ars. Educatio, 2016. - ISBN 978-83-65547-05-7. - S.79-122.ABC
The instability of modern family and is social pathology as the primary impetusfor the intervention of a social worker / Lýdia Lešková (Autor), Radoslav Lojan(Autor) ; Mariana Mrazova (Recenzent), Magda Smeth (Recenzent).In: Social Pathology within the Family / ed. Jozef Suvada, Paweł Carnecki,Natasa Bujdova. - Warsaw : Warsaw Management University Publishing HouseProf. Leszka J. Krizanowskiego, 2016. - ISBN 078-83-7520-218-2. - S. 5-27[1,31 AH].ABC
Intervention and competence of social workers in the process of regulatingparental rights and obligations concerning a minor child / Katarina Chovancová(Autor).In: Acta Medicinae et Sociologica. - ISSN 2062-0284. - Roč. 8, č. 24 (2017) s.79-95.ADE
Music in the Life of Franz Kafka / Amantius Akimjak, Ofga Benċ.In: Revue Internationale des Sciences humaines et naturelles. - ISSN 22352007. - Num. 3 (2017), s. 35-42ADE
Homelessness in the Context of Social Services in the Slovak Republic /Zuzana Budayová.In: Revue Internationale des Sciences humaines et naturelles. - ISSN 22352007. - Num. 2 (2017), s. 33-46ADE
Social Responsibility and Funded Pillar in the Sovek Republic =Odpowiedzialność społeczna a filar kapitałowy w Republicę Słowackiej /Zuzana Budayová.In: Zarządzanie i edukacja. - ISSN 1428-474X. - Nr. 108 (2016), s. 133-146ADE
Social Assistance according to some Polish Theologians / Edward Jarmoch.In: Revue Internationale des Sciences humaines et naturelles. - ISSN 2235-ADE
"} {"image_path": "images/6be48820f7500f06fcd744c6f7c245b4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
溶解度(100℃)20克/升项 日原 样变 化白 毛沾 色白 布沾 色项 目原 样变 化白 毛沾 色白 布沾 色
染色方法3(4)日晒1/34-5--碱缩绒温 和4-54-54-5
1/15--剧 烈443-4
2/15-6--酸 缩 绒44-54-5
匀 染 性4水 浸555煮呢(70°C)4-544-5
移 染 性B皂洗40℃4-54-54-5蒸呢温 和4-5--
60℃444剧 烈4--
拔 白 性汗渍4-54-54-5耐酸碱醋 酸4 5--
4 555硫 酸4--
金属影响4 D磨擦--4纯 碱4 B--
湿--3-4炭化未中和4 Y--
4 D熨 烫4-5--中 和4-5--
2 D干 洗---氯 化4-5--
海 水44-54-5
"} {"image_path": "images/52845e8501a2880762899c795557bdfc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
直径长度沉孔A型、B型、$B_1$型键槽B型键槽D型键槽
d (H7)L$L_1$$d_1$Rb (P9)t$t_1$T$t_3$$b_1$
公称尺寸极限偏差长系列短系列公称尺寸极限偏差公称尺寸极限偏差公称尺寸极限偏差位置度公差公称尺寸极限偏差
16+0.0180423042381.55-0.012
-0.042
18.3+0.10020.6+0.2000.03---
18620.823.6
19+0.021021.824.6
2052385222.825.6
2224.827.6
248-0.015
-0.051
27.3+0.20030.6+0.4000.04
256244624828.331.6
"} {"image_path": "images/18fd09a45fcb68ef7eb5ed2215990e26.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Data patternpreceding bit $^N0^M$preceding bit $^N1^M$
$\\mathcal{S}_{n} \\mathcal{S}_{n+1} \\mathcal{S}_{n+2}$$\\mathcal{x}_{n} \\mathcal{x}_{n+1} \\mathcal{x}_{n+2}$$\\mathcal{x}_{n} \\mathcal{x}_{n+1} \\mathcal{x}_{n+2}$
{1} 2 0 0[1] 

1 ● 0 ●1 ●
1 ● 0 ● 1
0
1
(1)+
(2)+
[2] 

1 1 1
1 1 1
0
1
(3) ×
(4) ×
{2} 2 0 -2[3] 

1 ● 0 0
1 ● 0 0
0
1
(5)+
(6)+
[4] 

1 1 0
1 1 0 ●
0
1
(7) ×
(8) ×
{3} 0 0 2[5] 

0 0 1 ●
0 0 1
0
1
(9) ×
(10) ×
[6] 

0 ● 1 1
0 ● 1 1
0
1
(11) -
(12) -
{4} 0 0 -2[7] 

1 ● 0 0
1 ● 0 0
0
1
(13) +
(14) +
[8] 

1 1 0
1 1 0 ●
0
1
(15) ×
(16) ×
{5} -2 0 2[9] 

0 0 1 ●
0 0 1
0
1
(17) ×
(18) ×
[10] 

0 ● 1 1
0 ● 1 1
0
1
(19) -
(20) -
{6} -2 0 0[11] 

0 0 0
0 0 0
0
1
(21) ×
(22) ×
[12] 

0 ● 1 ● 0
0 ● 1 ● 0 ●
0
1
(23) -
(24) -
{7} 0 0 0[13]  

[15] 

1 ● 0 ●1 ●
1 ● 0 ● 1
0 0 0
0 0 0
0
1
0
1
(25)+
(26)+
(29)×
(30)×
[14] 

[16] 

0 ● 1 ● 0
0 ● 1 ● 0 ●
1 1 1
1 1 1
0
1
0
1
(27) -
(28) -
(31) ×
(32) ×
2 0 2impossible
-2 0 -2impossible
"} {"image_path": "images/99494d1315d8571771f9916ff6857e5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
合計州 豫
黎陽新蔡魯郡光城梁國譙郡汝陰汝南颖川沛郡陳群濟北東平僕陽陳留
1031121210181612497841045
121218101
713218211
381111335232021
231151236418261
3111101
1248611
1
813442
11
373635343332313029282726252423
1031021011009997至989694至9591至9388至9081至978078至797775至76
"} {"image_path": "images/7d549aefd278e09b7ded9a8e109a632f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Обозначение^1$Химический состав, %
$Cr^2$CSiPS
бо-леедо ивкл.не более
(FeCr...C50)В диапазо-не от 45,0до 75,0включ.По табл. 1выбираетсяодин изустанов-ленныхстандартныхдиапазоновсодержанияхрома0,10
$ \\text{[(FeCr...C50LS)} $$ \\text{ CB.} 4.0 $1,50,05
$ \\text{(FeCr...C50Si2)} $no 6,01,53,00,10
(FeCr...C50Si2LS)ВКЛЮ4.0,050,05
$ \\text{(FeCr...C50Si4)} $3,05,00,10
(FeCr...C50Si4LS)0,05
$ \\text{(FeCr...C50Si7)} $5,010,00,05
(FeCr...C70)1,50,10
$ \\text{(FeCr...C70LS)} $$ \\text{ CB.} 6.0 $0,05
$ \\text{(FeCr...C70Si2)} $no 8,01,53,00,10
(FeCr...C70Si2LS)ВКЛЮЧ.0,050,05
$ \\text{(FeCr...C70Si4)} $3,05,00,10
(FeCr...C70Si4LS)0,05
$ (FeCr...C70Si6) $5,08,00,05
(FeCr...C90)1,50,10
(FeCr...C90LS)C.B.8.00,05
$ \\text{(FeCr...C90Si2)} $до 10,01,53,00,050,10
(FeCr...C90Si2LS)включ.0,05
(FeCr...C90Si4)3,05,00,10
(FeCr...C90Si4LS)0,05
"} {"image_path": "images/724d5c6801a21c65c4153e0849c92de9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号名称规格型号单位购置使用报损转岗、离职交回责任追究部门主管( 签字 )
购买日期存放地点保管人员( 签字 )请领日期请领数量使用人员( 签字 )该物品计划使用日期报损日期报损人员( 签字 )鉴定人员( 签字 )报损物品是否已交回报损物品交回数量交回时间交回数量交回人( 签字 )是否损坏原因罚款金额
1
2
3
4
5
6
7
8
9
10
11
12
13
"} {"image_path": "images/05e5cf33e69c0930e90cc39bde8888d6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
核 素物理半衰期类 别年龄$g\\leq1$岁$f_1$($g>1$ 岁)1 岁~2 岁
e(g)
2 岁~7 岁
e(g)
7 岁~12 岁
e(g)
12 岁~17 岁
e(g)
$>17 $岁e(g)
$f_1$e(g)
$\\mathrm{Ra-226} $$1.60~\\mathrm{E}+03~\\mathrm{a}$F0.600$2.6~\\mathrm{E}-06$0.200$9.4~\\mathrm{E}-07$$5.5~\\mathrm{E}-07$$7.2~\\mathrm{E}-07$$1.3~\\mathrm{E}-06$$3.6~\\mathrm{E}-07$
M0.200$1.5~\\mathrm{E}-05$0.100$1.1~\\mathrm{E}-05$$7.0~\\mathrm{E}-06$$4.9~\\mathrm{E}-06$$4.5~\\mathrm{E}-06$$3.5~\\mathrm{E}-06$
S0.020$3.4~\\mathrm{E}-05$0.010$2.9~\\mathrm{E}-05$$1.9~\\mathrm{E}-05$$1.2~\\mathrm{E}-05$$1.0~\\mathrm{E}-05$$9.5~\\mathrm{E}-06$
$\\mathrm{Ra-227} $0.703 hF0.600$1.5~\\mathrm{E}-09$0.200$1.2~\\mathrm{E}-09$$7.8~\\mathrm{E}-10$$6.1~\\mathrm{E}-10$$5.3~\\mathrm{E}-10$$4.6~\\mathrm{E}-10$
M0.200$8.0~\\mathrm{E}-10$0.100$6.7~\\mathrm{E}-10$$4.4~\\mathrm{E}-10$$3.2~\\mathrm{E}-10$$2.9~\\mathrm{E}-10$$2.8~\\mathrm{E}-10$
S0.020$1.0~\\mathrm{E}-09$0.010$8.5~\\mathrm{E}-10$$4.4~\\mathrm{E}-10$$2.9~\\mathrm{E}-10$$2.4~\\mathrm{E}-10$$2.2~\\mathrm{E}-10$
$\\mathrm{Ra-228} $5.75 aF0.600$1.7~\\mathrm{E}-05$0.200$5.7~\\mathrm{E}-06$$3.1~\\mathrm{E}-06$$3.6~\\mathrm{E}-06$$4.6~\\mathrm{E}-06$$9.0~\\mathrm{E}-07$
M0.200$1.5~\\mathrm{E}-05$0.100$1.0~\\mathrm{E}-05$$6.3~\\mathrm{E}-06$$4.6~\\mathrm{E}-06$$4.4~\\mathrm{E}-06$$2.6~\\mathrm{E}-06$
S0.020$4.9~\\mathrm{E}-05$0.010$4.8~\\mathrm{E}-05$$3.2~\\mathrm{E}-05$$2.0~\\mathrm{E}-05$$1.6~\\mathrm{E}-05$$1.6~\\mathrm{E}-05$
铜Ac-224 2.90hF0.005$1.3~\\mathrm{E}-07$$5.0~\\mathrm{E}-04$$8.9~\\mathrm{E}-08$$4.7~\\mathrm{E}-08$$3.1~\\mathrm{E}-08$$1.4~\\mathrm{E}-08$$1.1~\\mathrm{E}-08$
M0.005$4.2~\\mathrm{E}-07$$5.0~\\mathrm{E}-04$$3.2~\\mathrm{E}-07$$2.0~\\mathrm{E}-07$$1.5~\\mathrm{E}-07$$1.4~\\mathrm{E}-07$$1.1~\\mathrm{E}-07$
S0.005$4.6~\\mathrm{E}-07$$5.0~\\mathrm{E}-04$$3.5~\\mathrm{E}-07$$2.2~\\mathrm{E}-07$$1.7~\\mathrm{E}-07$$1.6~\\mathrm{E}-07$$1.3~\\mathrm{E}-07$
Ac-225 10.0dF0.005$1.1~\\mathrm{E}-05$$5.0~\\mathrm{E}-04$$7.7~\\mathrm{E}-06$$4.0~\\mathrm{E}-06$$2.6~\\mathrm{E}-06$$1.1~\\mathrm{E}-06$$8.8~\\mathrm{E}-07$
M0.005$2.8~\\mathrm{E}-05$$5.0~\\mathrm{E}-04$$2.1~\\mathrm{E}-05$$1.3~\\mathrm{E}-05$$1.0~\\mathrm{E}-05$$9.3~\\mathrm{E}-06$$7.4~\\mathrm{E}-06$
S0.005$3.1~\\mathrm{E}-05$$5.0~\\mathrm{E}-04$$2.3~\\mathrm{E}-05$$1.5~\\mathrm{E}-05$$1.1~\\mathrm{E}-05$$1.1~\\mathrm{E}-05$$8.5~\\mathrm{E}-06$
Ac-226 1.21dF0.005$1.5~\\mathrm{E}-06$$5.0~\\mathrm{E}-04$$1.1~\\mathrm{E}-06$$4.0~\\mathrm{E}-07$$2.6~\\mathrm{E}-07$$1.2~\\mathrm{E}-07$$9.6~\\mathrm{E}-08$
M0.005$4.3~\\mathrm{E}-06$$5.0~\\mathrm{E}-04$$3.2~\\mathrm{E}-06$$2.1~\\mathrm{E}-06$$1.5~\\mathrm{E}-06$$1.5~\\mathrm{E}-06$$1.2~\\mathrm{E}-06$
S0.005$4.7~\\mathrm{E}-06$$5.0~\\mathrm{E}-04$$3.5~\\mathrm{E}-06$$2.3~\\mathrm{E}-06$$1.7~\\mathrm{E}-06$$1.6~\\mathrm{E}-06$$1.3~\\mathrm{E}-06$
Ac-227 21.8 aF0.005$1.7~\\mathrm{E}-03$$5.0~\\mathrm{E}-04$$1.6~\\mathrm{E}-03$$1.0~\\mathrm{E}-03$$7.2~\\mathrm{E}-04$$5.6~\\mathrm{E}-04$$5.5~\\mathrm{E}-04$
M0.005$5.7~\\mathrm{E}-04$$5.0~\\mathrm{E}-04$$5.5~\\mathrm{E}-04$$3.9~\\mathrm{E}-04$$2.6~\\mathrm{E}-04$$2.3~\\mathrm{E}-04$$2.2~\\mathrm{E}-04$
S0.005$2.2~\\mathrm{E}-04$$5.0~\\mathrm{E}-04$$2.0~\\mathrm{E}-04$$1.3~\\mathrm{E}-04$$8.7~\\mathrm{E}-05$$7.6~\\mathrm{E}-05$$7.2~\\mathrm{E}-05$
Ac-2286.13hF0.005$1.8~\\mathrm{E}-07$$5.0~\\mathrm{E}-04$$1.6~\\mathrm{E}-07$$9.7~\\mathrm{E}-08$$5.7~\\mathrm{E}-08$$2.9~\\mathrm{E}-08$$2.5~\\mathrm{E}-08$
M0.005$8.4~\\mathrm{E}-08$$5.0~\\mathrm{E}-04$$7.3~\\mathrm{E}-08$$4.7~\\mathrm{E}-08$$2.9~\\mathrm{E}-08$$2.0~\\mathrm{E}-08$$1.7~\\mathrm{E}-08$
S0.005$6.4~\\mathrm{E}-08$$5.0~\\mathrm{E}-04$$5.3~\\mathrm{E}-08$$3.3~\\mathrm{E}-08$$2.2~\\mathrm{E}-08$$1.9~\\mathrm{E}-08$$1.6~\\mathrm{E}-08$
钍Th-226$0.515~\\mathrm{h}$F0.005$1.4~\\mathrm{E}-07$$5.0~\\mathrm{E}-04$$1.0~\\mathrm{E}-07$$4.8~\\mathrm{E}-08$$3.4~\\mathrm{E}-08$$2.5~\\mathrm{E}-08$$2.2~\\mathrm{E}-08$
M0.005$3.0~\\mathrm{E}-07$$5.0~\\mathrm{E}-04$$2.1~\\mathrm{E}-07$$1.1~\\mathrm{E}-07$$8.3~\\mathrm{E}-08$$7.0~\\mathrm{E}-08$$5.8~\\mathrm{E}-08$
S0.005$3.1~\\mathrm{E}-07$$5.0~\\mathrm{E}-04$$2.2~\\mathrm{E}-07$$1.2~\\mathrm{E}-07$$8.8~\\mathrm{E}-08$$7.5~\\mathrm{E}-08$$6.1~\\mathrm{E}-08$
"} {"image_path": "images/302b725d04fe20a59b458c8546d86170.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BlockLayerKernelStrideOutput
CONV-12 conv +3x31256x256x32
max-pool2x22128x128x32
CONV-22 conv +3x31128x128x64
max-pool2x2264x64x64
CONV-32 conv +3x3164x64x128
max-pool2x2232x32x128
CONV-42 conv +3x3132x32x256
max-pool$2 \\times 2$216x16x256
CONV-52 conv3x3116x16x512
CONV-62 conv3x3132x32x256
CONV-72 conv3x3164x64x128
CONV-82 conv3x31128x128x64
CONV-92 conv3x31256x256x32
UNCONV-1deconv +2x232x32x768
2 conv3x3132x32x256
UNCONV-2deconv +2x264x64x384
2 conv3x3164x64x128
UNCONV-3deconv +128x128x192
2 conv3x31128x128x64
UNCONV-4deconv +2x2256x256x96
conv +3x31256x256x32
conv1x11256x256x4
"} {"image_path": "images/9673d90b449333d387142e8e91e600d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
化学反应式及工艺流程词示意图 丙酮

分子筛脱水、还原物

蒸馏

成品
主要设备情况名 称规 格材 质数 量
备注副产品及三废治理情况
"} {"image_path": "images/1d7ce63e3fc997126649817c0c47fbb8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
社会主义改造经济体制全盘政治化向 非 政 治 化 经 济 体 制 过 渡 时 期中国式的社会主义 (全面的问接 控制 )2006年
2006年
初 期1978年 中 期1986年 后 期1998年
B . 建立各类市场的顺序1978年货币经济的来临 (政府仍坚持货币干预)建 立 商 品 市 场 建 立 资 本 市 场建 立 劳 动 市 场
1986年1990年1994年1998年2002年
(O)(I)(II)(III)(IV)(V)
C . 改革规划的五个步骤经济、政治决策权力的分散价格体制改革(政府要保证: ①城乡产品交换顺利: ②国营企业获得理想的效益)利息体制改革利润体制改革金融资产体制的改革人际关系的改革
D . 每项改革的内容①农村:公社的解体;市场化、私有化①价格浮动②控制政府赤字建立可贷资金市场经营效率利润(马歇尔利润)未来盈利的资本化,风险以及内含的技术变革是劳动力流动
"} {"image_path": "images/61b132d3c513d78dd5c01040bdde1c18.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
失去赡養者的家属第二類中残慶者第一類中年老、服務有年及殘慶者領#金者類别
|四◯盧布五◯盧布動家能中力無者喪失勞
三◯盧布五◯盧布六◯盧布動有能一力個者喪失勞
四◯盧布六◯盧布七五盧布喪有失兩勞個動及能兩力個者以上
"} {"image_path": "images/7cea4b40627971569e94c829ed434f38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n
特征图象 图 类
地 类
单一类别混 合 类 别其他
草(林) 耕(林) 耕(水) (耕)十(林) 林(耕) 林(草) 水(耕) 耕(城林水)
BIO~1(78-79)0~20 m耕 地
林 地
水 域
草 地
园 地
城 镇
裸 地
90.7
1.1
6.1
1.5
0.3
0.3


15.5 

84.5 



58.8 
35.3 

5.9 

像元个数71323277453
BIO~2(78-79)21 m~50 m耕 地
林 地
水 域
草 地
园 地
城 镇
裸 地
72.4
13.0
3.7
3.7
4.4
2.8
13.6 
86.4 


63.4
23.9
2.8
3.8
4.7
1.4
54.5
10.2
22.9
5.4
0.5
6.3
36.4 
51.2
2.4 

9.0
67.0
8.2
9.3
3.3
2.1
10.1
像元个数168501162543515464193530
BIO~3(78-79)51m~100m耕 地
林 地
水 域
草 地
园 地
城 镇
裸 地
20.6
73.4
0.6
1.8
2.2
0
1.4
100.052.0
30.2
2.8
2.6
9.4
3.0 

55.6
11.1
22.2
0
11.1 

51.3
40.6
0.9
1.3
3.7
1.0
1.3
22.2
58.4
0.8
1.4
6.3
0.5
0.4
36.1
19.3
15.7
0
3.6
25.3 

像元个数73841712578421457987974.694
BIO~4(78-79)101 m~200 m耕 地
林 地
水 域
草 地
园 地
城 镇
裸 地
10.2
80.9
0.2
4.0
1.1
0
3.6
20.2
0
80.0
0 



62.5
32.5
0.8
0.8
1.8
0.8
0.8
44.4
47.7
0
4.6
1.3
0
2.0
26.2
61.7
0.3
4.7
1.5
0
5.6
40.0
28.6
11.4
8.6
11.4
0
0
像元个数83422472122248312996971
"} {"image_path": "images/f9159d084cd1ac84002d704d1480f304.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Eil. Nr.Kvalifikacijos reikalavimaiKvalifikacijos reikalavimusjrodantys dokumentai
ir dėl Tiekėjo (juridinio asmens) perpastaruosius 5 metus nebuvo priimtasir įsiteisėjęs apkaltinamasis teismonuosprendis už dalyvavimąnusikalstamame susivienijime, joorganizavimą ar vadovavimą jam, užkyšininkavimą, tarpininkokyšininkavimą, papirkimą, sukčiavimą,kredito, paskolos ar tikslinės paramospanaudojimą ne pagal paskirtį arnustatytą tvarką, kreditinį sukčiavimą,mokesčių nesumokėjimą, neteisingųduomenų apie pajamas, pelną ar turtąpateikimą, deklaracijos, ataskaitos arkito dokumento nepateikimą,nusikalstamu būdu gauto turto įgijimąar realizavimą, nusikalstamu būduįgytų pinigų ar turto legalizavimą. DėlTiekėjo iš kitos valstybės nėra priimtasir įsiteisėjęs apkaltinamasis teismonuosprendis už 2004 m. kovo 31 d.Europos Parlamento ir Tarybosdirektyvos 2004/18/EB dėl viešojodarbų, prekių ir paslaugų pirkimosutarčių sudarymo tvarkos derinimo 45straipsnio 1 dalyje išvardytuoseEuropos Sąjungos teisės aktuoseapibrėžtus nusikaltimus.liudijantis, kad nėra nurodytų pažeisimų. Nurodytidokumentai turi būti išduoti ne anksčiau kaip 30 dienųiki pasiūlymų pateikimo termino pabaigos. Jeidokumentai išduoti anksčiau, tačiau jų galiojimoterminas ilgesnis nei pasiūlymų pateikimo terminas (irtoks terminas dokumentuose nurodytas), tokiedokumentai jo galiojimo laikotarpiu yra priimtini. Jeitiekėjui buhalterinės apskaitos paslaugas teikia kitasjuridinis asmuo, tiekėjas turi pateikti dokumentus dėlbuhalterinę apskaitą tvarkančio juridinio asmensdarbuotojų, kurie surašo ir turi teisę pasirašyti tiekėjoapskaitos dokumentus, teistumo.
Pateikiama skaitmeninė dokumento kopija*.
10.1.2.Tiekėjas yra įvykdęs įsipareigojimus,susijusius su mokesčių, įskaitantsocialinio draudimo įmokas, mokėjimupagal šalies, kurioje jis regístruotas, aršalies, kurioje yra perkančiojiorganizacija, reikalavimus. Tiekėjaslaikomas įvykdžiusiu įsipareigojimus,susijusius su mokesčių, įskaitantsocialinio draudimo įmokas,mokėjimu, jeigu jo neįvykdytųįsipareigojimų suma yra mažesnė kaip50 eurų.1) Valstybinės mokesčių inspekcijos išduotasdokumentas arba valstybės įmonės Registrų centroLietuvos Respublikos Vyriausybės nustatytatvarka išduotas dokumentas, patvirtantis jungtiniuskompetentingų institucijų tvarkomus duomenis, aršalies, kurioje yra registruotas tiekėjas,kompetentingos valstybės institucijos išduotasdokumentas. Nurodytas dokumentas turi būti išduotasne anksčiau kaip prieš 30 dienų iki pasiūlymųpateikimo termino pabaigos. Jei dokumentas išduotasanksčiau, tačiau jo galiojimo terminas ilgesnis neipasiūlymų pateikimo terminas, toks dokumentas yrapriimtinas.
2) Lietuvos Respublikoje registruotas tiekėjas, kurisyra fizinis asmuo, pateikia Valstybinio socialiniodraudimo fondo valdybos teritorinių skyrių irkitų Valstybinio socialinio draudimo fondosusijusių su Valstybinio socialinio draudimo fondoadministravimu, išduotą dokumentą, arba Valstybėsįmonės Registrų centro Lietuvos RespublikosVyriausybės nustatyta tvarka išduotas dokumentą,patvirtinantį jungtinius kompetentingų institucijųtvarkomus duomenis. Jeigu tiekėjas yra juridinisasmuo, registruotas Lietuvos Respublikoje, iš jonereikalaujama pateikti šio kvalifikacijos reikalavimenurodytų dokumentų. Perkančioji organizacija tikrinapaskutinės pasiūlymų pateikimo dienos, nurodytos
"} {"image_path": "images/60fb66a58f892f45f4104b558f81cdcb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编号机器型号电机kW用 途司机班长正常(0)不正常(×)
班别 电压(伏) 电流(安)压力(公斤/厘米²)温度(℃)水温(℃)加油次数运转时间检查项目中班夜班早班
吸气排气油泵曲轴箱吸气排气油泵曲轴箱进水出水机器声音
轴承温度
早班电机温度
仪表及开关
各部螺栓及销钉
接 地 线
中班传动装置
润滑及电刷
润滑情况
出进风温度
夜班出进风压力
保 险 阀
压力调节器
记事
"} {"image_path": "images/6c0ad58b35a72f45e9fa5bf8b7d1e866.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cations $\\left(\\mu \\mathrm{mol}_{\\mathrm{c}} \\mathrm{~L}^{-1}\\right)$Anions $\\left(\\mu \\mathrm{mol}_{\\mathrm{c}} \\mathrm{~L}^{-1}\\right)$$NPCB^a$$\\left(\\mu \\mathrm{mol}_{\\mathrm{c}} \\mathrm{~L}^{-1}\\right)$
$H^+$$Na^+$$K^+$$NH_4$$^+$$ Mg^{2+} $$Ca^{2+}$Al eq.$CI^-$$NO_3$$^-$$RCOO^-$$SO_4$$^{2-}$
Fg Annual1.224.2179.480.730.043.20.433.291.870.6258.7-31.8
(0.1-117.5) (5.4-224.2)(36.1-571.5) (1.7-540.3)(3.2-280.4) (1.9-558.4)(-0.9-10.2)(5.3-444.7)(5.9-381.3)(8.7-206.1)(81.6-2089.9)(-753.5-423.6)
Leafed0.919.4209.775.619.833.90.223.363.491.1173.6-7.6
(0.1-10.0)(6.0-110.4)(34.4-679.0) (4.3-443.0)(2.8-311.8) (3.9-469.1)(-1.0-3.3)(6.5-60.1)(14.0-610.8)(44.4-209.2)(86.8-1431.7)(-184.7-433.9)
Leafless3.433.3134.8118.038.786.80.643.6107.936.6382.0-109.6
(0.4-172.2)(7.6-225.0)(43.3-354.7)(4.4-623.7)(5.1-218.9)(4.4-548.5)(0.1-19.2)(4.9-447.8)(10.2-257.1)(4.3-143.8)(73.8-2101.7)(-981.2-115.9)
LtAnnual1.3 30.9386.7 22.9125.9135.7 1.439.924.3177.1285.5102.6
(0.2-4.2)(6.4-133.9)(82.6-1054.3)(1.4-128.5)(22.5-391.0)(28.9-373.2)(-5.9-5.8)(3.9-211.3)(0.5-248.1)(20.2-794.9)(82.3-1166.2)(-244.6-809.7)
Leafed1.139.5430.233.8146.7139.81.928.920.5305.0233.8125.3
(0.1-3.4) (10.3-117.3)(70.6-1031.2) (1.4-66.8)(35.2-391.8)(47.8-418.8) (-2.7-5.5) (2.9-84.3)(1.6-282.9) (37.1-888.4) (69.7-1264.5)(-158.6-658.1)
Leafless1.628.3326.618.7107.8103.31.264.225.4125.1439.432.0
(0.2-4.9) (5.7-129.3)(113.3-886.3)(2.0-141.4)(21.5-333.1)(26.9-349.6)(-12.2-6.1)(15.9-358.8)(0.5-92.4) (20.0-645.5) (114.0-912.2)(-273.3-843.8)
"} {"image_path": "images/3939df9fe7b14f2fd8f67adb3fbcf1f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年份
分数
内容
19921993199419951996199719981999200020012002年份
分数
内容
19921993199419951996199719981999200020012002
无穷小量33广义积分3
极 限8563877353偏导数与全微分56656795593
导数与微分65336333311多元微分学的应用633337
微分学中值定理788467重积分3557117
导数的应用10376263曲线积分与曲面积分1696146510121178
不定积分5536级数常数项级数333345733
定积分及应用53953263幂级数713373682
变上限的定积分33333傅氏级数3363
空间解析几何363685常微分方程911973599838
"} {"image_path": "images/46052e34e8568e220d3bb675c30c5aff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测试点项目(dB)方向日期收 信 支 路发 信 支 路测试人员
1800收300收60 收 信60发300发1800 发
MM调线架超收放大M步位监频 门入监频调制器入调线架MM
信号监频信号监频信号监频.信号监频信号监频信号监频信号监频
-60±2.6-80±2.6-60±1.7-80±1.7-31.6±0.5-51.6±0.5-60±0.5-80±0.5-51.6±0.5-66.4-44.6±0.9-64.6±0.9-60±0.9-80±0.9-60±1.3-80±1.3
A-B
B-A
A-B
B-A
A-B
B-A
A-B
B-A
A-B
B-A
"} {"image_path": "images/0f7b16d872e0b6cb588665babc7ba3b0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n





















#

氏西
特充
園鲜
藏于
































"} {"image_path": "images/6767e7fa97f4368a8c0a1f7b9c41a36f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Storleksklasser,landarealS torlekskiasser,landareal
9-99$\\text{m}^2$ 100-999 $m^2$ 0,1 -0,9 ha1-9ha 10 -99 ha 100-999 ha≥1000haSumma
Stockholms län13 27411 2165 3732 394574972432 952
Uppsala län5 8195 6052 11563313125214 330
Södermanlands län2 7743 8241 7755881311929 113
Östergötlands län3 9985 5152 9301 16920026313 841
J önköpings län8361 92382119329013 803
Kronobergs län1 38632921 58432440426 632
Kalmar län4 4637 68035741 16520431417 121
Gotiands län2806271492716631 108
Blekinge län1 2921 719719253811714 082
Skäne län1 6782 62860911819435 059
Hallands län8651 77862420026303 496
Västra Götalands län10 70612 8585 3861 75039668831 172
Värmiands län3 7374 9212 27165911816211 724
Örebro län1 5672 6311 046240311005 525
Västerbottens län6191 121505157361112 450
Dalamas län4 1196 2142 804643877113 875
Gävleborgs län2 4775 2462 77982113927211 491
Västerbottens län1 5922 5901 3754681092276 163
J ämtlands län2 7497 7684 33096811017315 945
Västerbottens län4 85311 2825 5611 45720621423 384
Norrbottens län5 31316 6009 5192 563499981534 607
Riket74 271116 93255 80716 7693 17353088267 570
"} {"image_path": "images/114d141d7acc2cd2ac145894e2472d75.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
合 澎 花 蓮 高 # # 新 #
計 湖 蓮 東 雄 南 中 竹 北
潞別
四・一八 六・一五 六・〇六 一五・一一 六・四三 〇・六七 〇・五四 〇・八五 三九・九九食用
三・八三 六・三一 六・二一 七・七〇 四・六七 〇・六八 〇・六四 〇・八五 〇・八九 三〇・八九飼料用
〇・〇六 〇・〇七 一・二四 一三・六六 六・八五 〇・一九 〇・一五 〇・八五 二三・七〇#施用
一・〇八 〇・六四 〇・七八 二・一一 〇・七四 〇・〇五 〇・〇二   五・四二#粉用
九・一五 一三・八〇 一四・二九 三八・五八 一八・六九 一・五九 一・三五 二・五五 一〇〇・〇〇合計
"} {"image_path": "images/f4eb5b334fb1105412d9902377e35986.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号起讫桩号计价方分类总运量 $\\left(\\mathrm{m}^{3}\\right)$ 路基压实$\\left(m^{3}\\right)$
推土机$ ~推土$$\\left(\\mathrm{m}^{3}\\right)$铲运机$~铲土$$\\left(\\mathrm{m}^{3}\\right)$人工开炸石方$\\left(m^{3}\\right)$机械钻眼$~炸石方$$\\left(\\mathrm{m}^{3}\\right)t)$$~挖掘机$挖装土方$\\left(m^{3}\\right)$$~装载机$装土石方$\\left(\\mathrm{m}^{3}\\right)$推土机每增10m铲运机每增50m机动翻斗车每增 100m汽车运土石每增 500m
普土硬土普土硬土软石坚石软石坚石普土硬土软石坚石软石坚石
1$\\mathrm{K} 0+000 \\sim \\mathrm{K} 1+000$1745728631961913168025736479816367
2$\\mathrm{K} 1+000 \\sim \\mathrm{K} 2+000$800012311944351930942110374156358503098425902
3$\\mathrm{K} 2+000 \\sim \\mathrm{K} 3+000$10142132922611187
4$\\mathrm{K} 3+000 \\sim \\mathrm{K} 4+000$4116606967861240111414
5$\\mathrm{K} 4+000 \\sim \\mathrm{K} 5+000$765841021473571193421485401
6$\\mathrm{K} 5+000 \\sim \\mathrm{K} 6+000$71484384100518355562264961172190011980
7$\\mathrm{K} 6+000 \\sim \\mathrm{K} 7+000$208637570128701293614701161431232
8$\\mathrm{K} 7+000 \\sim \\mathrm{K} 8+000$407167595371816988124305 568625139105974332
9$\\mathrm{K} 8+000 \\sim \\mathrm{K} 9+000$3031612924453913999499652069639536625621073
10$\\mathrm{K} 9+000 \\sim \\mathrm{K} 10+000$1949811529496883369981369025257
11$\\mathrm{K} 10+000 \\sim \\mathrm{K} 10+100$31521841117197018410
本页小计153354645312054190242178242122594110412510889318863457842204145
合 计 153354645312054190242178242122594110412510889318863457842204145
"} {"image_path": "images/8c3104e3f5e2dbbf75285a274a8f5be0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\n \n \n \n \n \n \n \n
T.,℃[A]。[B]。[A][B]$ W_{0}\\cdot 10^{6} $$\\dot{w}'_0\\cdot 10^{7}$$\\mathrm{k}_{\\mathrm{ef}} \\times10^{4}。 \\mathrm{liter}^{2} / \\mathrm{mole}^{3} 。\\mathrm{sec}$
moles/litermoles $/ \\mathrm{liter} \\cdot \\mathrm{sec}$
670,4866,4800,0226,0360,250,060,84
0,4698,3300,0177,8900,190,060,83
0,5199,0700,0178,5800,230,070,89
1,0150,6240,1290,4350,600,030,83
1,177 0,3330,1480,2230,340,020,69
1,490 0,4370,1670,2810,650,030,83
Mean $0,82±0,04$
750,520 8,5200,0208,0230,370,13 1,16
1,0150,6240,1430,4290,760,060,86
1,1190,4370,1860,2750,880,060,92
0,5502,5100,0572,1250,700,100,99
0,5343,7500,0413,3150,600,121,03
0,5515,3500,0324,8630,590,141,19
Mean $1,03±0,10$
820,5172,2800,0611,9200,860,161,20
0,5524,7600,0354,3100,730,211,36
0,4417,6900,1867,2800,340,161,29
0,5406,8900,0266,3900,650,231,51
1,1770,3330,1750,2170,750,061,12
Mean $ 1,30±0,08$
90,50,5334,5200,0404,0601,530,402,29
0,5774,5200,0434,0301,830,462,36
0,8044,1100,0663,4704,250,812,76
0,6604,3600,0513,8102,300,582,24
Mean $2,37±0,16$
950,6872,4400,0861,9812,560,691,70
1,2050,2030,2180,1281,170,141,90
0,7906,9500,0426,2402,781,202,38
0,5362,7500,0632,3531,620,521,69
0,5153,7000,0483,2761,590,472,07
Mean $1,95±0,22$
1100,5322,4200,0762,0470,711,300,50
0,7492,3300,1071,8341,602,300,65
0,9812,3300,1361,7562,533,200,68
1,3512,3600,1791,6514,005,000,66
1,6860,2650,2970,1490,840,690,59
2,1780,4580,3360,2541,941,600,62
Mean $0,616±0,05$
"} {"image_path": "images/1fd070f46910065c07e5fe6394c3e90c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
विभागीय आयुक्त द (राज्य) स्काउट / गाइड्स ऑर्गनायजेशन, नागपुर
Disqualified Candidate List
postappnoname
1 - DISTRICT ORGANIZER COMMISIONER16101159CHAUDHARI YESHWANT RAMESH
1 - DISTRICT ORGANIZER COMMISIONER16101161CHAUDHARI YASHWANT RAMESH
1 - DISTRICT ORGANIZER COMMISIONER16101180BIJAWE SAGAR ASHOKRAO
1 - DISTRICT ORGANIZER COMMISIONER16101186RUPESH RAJENDRA NANDRE
1 - DISTRICT ORGANIZER COMMISIONER16101191BABHALE BAJIRAO PARMESHWAR
1 - DISTRICT ORGANIZER COMMISIONER16101193SUSHMA MANGALDAS MESHRAM
1 - DISTRICT ORGANIZER COMMISIONER16101223DHUMAL NILESH RAMESH
1 - DISTRICT ORGANIZER COMMISIONER16101235BHUTNAR PANDURANG PRALHADRAO
1 - DISTRICT ORGANIZER COMMISIONER16101236KALASKAR WARUN SHANKARRAO
1 - DISTRICT ORGANIZER COMMISIONER16101263DURUGKAR ASHWIN LAXMAN
1 - DISTRICT ORGANIZER COMMISIONER16101265WANKHEDE SUMIT LAXMANRAO
1 - DISTRICT ORGANIZER COMMISIONER16101277VERMA SANDEEP RAMSANEHI
1 - DISTRICT ORGANIZER COMMISIONER16101289THAKUR CHANDRAKIRAN ONKARSINGH
1 - DISTRICT ORGANIZER COMMISIONER16101290YOGESH BORKAR
1 - DISTRICT ORGANIZER COMMISIONER16101291GOLE SUJIT NARAYANRAO
1 - DISTRICT ORGANIZER COMMISIONER16101298PRASHANT PRAJAPATI
1 - DISTRICT ORGANIZER COMMISIONER16101316AMOL BHUJANGRAO DEOKAR
1 - DISTRICT ORGANIZER COMMISIONER16101322HIREKODI DRAKSHAYANI ANAND
1 - DISTRICT ORGANIZER COMMISIONER16101327PRASAD DULABA SUROSHE
1 - DISTRICT ORGANIZER COMMISIONER16101341KHIROLE AVINASH EKNATH
1 - DISTRICT ORGANIZER COMMISIONER16101375GANESH KARBHARI TATHE
1 - DISTRICT ORGANIZER COMMISIONER16101376GANESH KARBHARI TATHE
1 - DISTRICT ORGANIZER COMMISIONER16101400BHELAVE NISHANT DEVENDRA
1 - DISTRICT ORGANIZER COMMISIONER16101445BHELAVE NISHANT DEVENDRA
1 - DISTRICT ORGANIZER COMMISIONER16101451TONGE SWITY RAMCHANDRA
1 - DISTRICT ORGANIZER COMMISIONER16101549GANDRATWAR ARUN BHAGWAN
1 - DISTRICT ORGANIZER COMMISIONER16101559DEEPAK TEJRAO KHARATE
1 - DISTRICT ORGANIZER COMMISIONER16101574VAIBHAV DHANANIAY HANTODKAR
1 - DISTRICT ORGANIZER COMMISIONER16101584VAIBHAV DHANANJAY HANTODKAR
1 - DISTRICT ORGANIZER COMMISIONER16101594SWAPNIL RAMAKANT DOLAS
1 - DISTRICT ORGANIZER COMMISIONER16101605AHARWAR PRAFFUL KAILASH
1 - DISTRICT ORGANIZER COMMISIONER16101645SONAWANE VIJAY SURESH
1 - DISTRICT ORGANIZER COMMISIONER16101660SAKHARE VIKASKUMAR BALAKDAS
1 - DISTRICT ORGANIZER COMMISIONER16101697KONDAWAR KRISHNAVENI RAMAMURTI
1 - DISTRICT ORGANIZER COMMISIONER16101716SIDDHARTH DAMODAR GULWE
1 - DISTRICT ORGANIZER COMMISIONER16101720NITESH BALKRUSHNA BORKAR
1 - DISTRICT ORGANIZER COMMISIONER16101721NITESH BALKRUSHNA BORKAR
1 - DISTRICT ORGANIZER COMMISIONER16101722NITESH BALKRUSHNA BORKAR
1 - DISTRICT ORGANIZER COMMISIONER16101723NITESH BALKRUSHNA BORKAR
1 - DISTRICT ORGANIZER COMMISIONER16101724NITESH BALKRUSHNA BORKAR
1 - DISTRICT ORGANIZER COMMISIONER16101726NITESH BALKRUSHNA BORKAR
1 - DISTRICT ORGANIZER COMMISIONER16101727NITESH BALKRUSHNA BORKAR
1 - DISTRICT ORGANIZER COMMISIONER16101728NITESH BALKRUSHNA BORKAR
1 - DISTRICT ORGANIZER COMMISIONER16101734ANILKUMAR ANANDRAO DHOLE
"} {"image_path": "images/98ebfeb3b8cf4ecb81d1e28d455f8bd0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
cosolvent$w_S$$X_S$$\\varphi\\mathrm{s}^{\\mathrm{V}}$$t_{+}^{\\circ}$$\\Lambda^{\\circ}$$\\lambda_{+}^{\\circ}$$\\lambda_{-}^{\\circ}$$u_{+}^{\\circ}$$u^{\\circ}$$\\eta^{\\circ}$
${\\mathrm{S} \\cdot \\mathrm{cm}^{2} \\cdot \\mathrm{mol}^{-1}}$ ${\\mathrm{S} \\cdot \\mathrm{cm}^{2} \\cdot \\mathrm{mol}^{-1}}$ ${\\mathrm{S} \\cdot \\mathrm{cm}^{2} \\cdot \\mathrm{mol}^{-1}}$${\\mathrm{cm}^{2} \\cdot \\mathrm{s}^{-1} \\cdot \\mathrm{V}^{-1}}$${\\mathrm{cm}^{2} \\cdot \\mathrm{s}^{-1} \\cdot \\mathrm{V}^{-1}}$mPa·s
methanol00.0000.0000.830$426.1^{a}$35472.40.003690.000750.890
0.20.1230.2410.827276.8 $^{a}$22947.90.00240.000501.413
0.40.2730.4580.789$191.1^a$15140.30.00160.000421.559
0.70.5670.7470.692 $121.9^{a}$ 8437.50.00090.000391.230
ethanol00.0000.0000.830$426.1^a$35472.40.003690.000750.890
0.20.0890.2110.841273.323043.50.002380.000451.811
0.40.2070.4160.815164.613430.40.001390.000322.368
0.70.4770.7140.71091.86526.60.000680.000282.002
2-propanol00.0000.0000.830 $426.1^{a}$ 35472.40.003690.000750.890
0.20.0700.2420.840302.025448.30.002630.000501.836
0.40.1670.4600.831176.814729.90.001520.000312.497
0.70.4120.7490.74677.25819.60.000600.000202.594
ethylene glycol00.0000.0000.830$426.1^a$35472.40.003690.000750.890
0.20.0680.1830.834302.425250.20.002610.000521.712
0.40.1620.3750.825201.616635.30.001720.000372.269
0.70.4040.6770.79444.8369.20.000370.000105.615
glycerol00.0000.0000.830$426.1^a$35472.40.003690.000750.890
0.20.0470.1930.827278.323048.10.002390.000501.235
0.40.1150.3890.813171.313932.00.001440.000333.373
0.70.3130.6900.79544.8369.20.000370.0001018.727
propylenecarbonate00.0000.0000.830$426.1^a$35472.40.003690.000750.890
0.050.0090.0420.825377.531166.10.003230.000680.905
0.10.0190.0850.836355.629758.30.003080.000600.922
0.20.0420.1730.832311.525952.30.002690.000540.959
acetonitrile00.0000.0000.830$426.1^a$35472.40.003690.000750.890
0.050.0230.0630.831406.633868.70.003500.000710.935
0.10.0460.1250.822395.332570.40.003370.000730.962
0.30.1580.3550.817320.626258.70.002710.000610.939
0.50.3050.5620.752252.319062.60.001970.000650.774
1,4-dioxane00.0000.0000.830$426.1^a$35472.40.003690.000750.890
0.20.0490.1950.837 $303.2^{a}$ 25449.40.002630.000511.266
0.450.1430.4430.820$180.4^a$14832.50.001530.000341.824
0.70.3230.6940.759$93.3^a$7122.50.000740.000231.932
0.820.4820.8160.71358.24116.70.000420.000171.651
"} {"image_path": "images/ec9baa4948ab910360db17b36fee344b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
76.DRVODJELAC DOO ZEPCE2EPCETATARBUDZAK BB1610750005470046
77.DRVOMASINE DOO LAKTASILAKTASIDOSITEJEVA 21610450045980074
78.DRVORED DOO SREBRENIKSREBRENIKMEHMEDA IBRAHIMOVICAVAKUF BB1610500000150045
79.DULKIC DOO POSUSJEPOSUSJERASTOVACA BB1610200026200089
80.DVA LAVA DOO G RAINCI KALESUAKALESIJAG RAINCI BB KALESUA1610250010980059
81.EKO PLANET DOO SARAJEVOSARAJEVOHAMDIE CEMERLICA 471610000062710026
82.EKO TURIZAM DOO PRUEDORPRUEDORKRIVAJABR 11610450014370005
83.EKODRVO DOOBIHACBiHaCKH BRanLACA 27161035001892008 6
84.EL GRADNJA DOO BOSANSKA KRUPABOS, KRUPAMAHMIC SELO 1531610350009160043
85.ELBA AGENCUA VL BARRAMOVIC ELVIRAVISOKOVAROŠKA BR 51610150004890016
86.ELEKTRO BORIC OBRT VL BORIC MUHAMEDCAZINCAZINPUSKARI BB1610350032460025
87.ELVEDIN POLJ DJ VL DZANANOVIC IBRAHIMAKLJUCKLJUC510 BBR BB1610350037870006
88.ENGO DOOBIHACPLJESEVICKA BB161035001355006 9
89.ESKADA DOO POSUSJEPOSUSJEVITEZA MILE BOSNIAKA 321610200032960019
90.EURO PROSPEKT DOO PECENEG ILOVAPRNJAVORPRNJAVORPECENEG ILOVA BB1610450026420024
91.EURO TRADE DOO BRCKOBRCKOTINA UJEVICA BB BRCKO1610600003890069
92.EUROING DOO BIHACBIHACUL BUŽIMSKA BR 231610350008000020
93.EXTREM INZINJERING DOO SARAJEVOSARAJEVOKOLODVORSKA 121610000066800031
94.FARMACUA DOO TUZLATUZLABAJRAMA MALKOCEVICA 11610250019880003
95.FARMASEJ DOO SARAJEVOSARAJEVOSEHERCEHAJNA CIKMA 11610000062830015
96.FENIKS CAFFE BAR VL KABILIAGIC MIRVINBUZIMBUZIMGENERALA IZETA NANICA BB1610350034350070
97.FEROELEKTRO DD SARAJEVOSARAJEVOMARSALA TITA 281610000004540096
98.GACIC INSTAL SZTR VL GACIC VEDRANTESLICHILANDARSKA BB TRZNICA1610400009570011
99.GANIK DOO VITEZVITEZPOSLOVNI CENTAR 961610700003830021
100.GIPROM DOO TUZLATUZLAMITRA TRIFUNOVICA UCE 211610250008770011
101.GOGO TRAVEL 77 DOO CTTLUKCITLUKMEDJUGORJE BB1610200024480085
102.GOGY SUR CAFFE BAR VL CRNOJA GORANSARAJEVOSARAJEVOBULEVAR MESE SELIMOVICA 251610000068450098
103.GOLD GAMES ELECTRONIC SPIELE DOO BIHACBIHACBIHACKIH BRANILACA BR 11610350016380044
104.GONDOLA SUR VL MARIO ZORIC GRUDEGRUDEDR FRANJE TUDJMANA BB1610200059530065
105.GOSPODARSKA KOMORA HB ZUPANJIE LIVNOLIVNOTRG KRALJA TOMISLAVA BB1610200032850021
106.GOSPODARSKA KOMORA HB ZUPANUE LIVNOLIVNOTRG KRALJA TOMISLAVA BB1610200032850118
107.GRADNJA LORD DOO ISTOCNO NOVOSARAJEVOI. SARAJEVONIKOLE TESLE 331610000067820083
108.GRADSKA BASTA SUR VL DJOPA EL VEDINBUGOJNOBUGOINOWAGNERA BB1610550015630030
109.GRBAVICA UDRUZENJE BOCARSKI KLUBSARAJEVOZAGREBACKA 271610000086480070
110.HADAN DOO ZA TRGOVINU I USLUGE TUZLATUZLADONJI DOLOVI BB SOLINA DOBR 221610250019440011
111.HARE SUPER MARKET VL COVRK HARIZSARAJEVOBOGUSEVAC 171610000069970088
112.HASOVIC KOMERC DOO SARAJEVOSARAJEVOPANJINA KULA 441610000040570067
113.HIDROGRADNJA DD SARAJEVOSARAJEVOHAMDJE KRESEVLJAKOVICA 191610000026890060
114.HRESA DOO ISTOCNI STARI GRADI. SARAIEVOHRESA BB1610000072610040
115.I C P DOO BUGOJNOBUGOJNODONJEVAKUFSKA BB1610550014340027
116.I T S DOO BIHACBIHACCERAVACKA BRDA 1361610350031980069
117.ILMA DOO BIHACBIHACDARIVALACA KRVI 391610350005950022
118.IMPALA DOO SIROKI BRUEGSIROKI BRUEGTRN BB SIROKI BRUEG1610200021100023
119.INFOTEL DOO SIROKI BRIJEGSIROKI BRUEGFRA A KRALJEVICA BB SIROKIBRUEG1610200021120005
120.ENTERINVEST DOO SARAJEVOSARAJEVOSAFETA ZAIKE 2691610000046540029
121.INTERNATIONAL TEKSTIL COMPANY DOOLIVNOLIVNOZABLJAK BB1610200042670010
"} {"image_path": "images/1a2aee087b9016fa045dc730618ffaf5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ncp
.001.002.003.005.01.02.03.05.10.15.20.25.30
100.9900.9802.9704.9511.9044.8171.7374.5987.3487.1969.1074.0563.0282
11.0000.9998.9996.9989.9957.9838.9655.9139.7361.5443.3758.2440.1493
21.00001.00001.0000.9999.9991.9972.9885.9298.8202.6778.5256.3828
31.00001.0000.9999.9990.9872.9500.8791.7759.6496
41.0000.9999.9984.9901.9672.9219.8497
51.0000.9999.9986.9936.9803.9527
61.0000.9999.9991.9965.9894
71.0000.9999.9996.9984
81.00001.0000.9999
91.0000
110.9891.9782.9675.9464.8953.8007.7153.5688.3138.1673.0859.0422.0198
1.9999.9998.9995.9987.9948.9805.9587.8981.6974.4922.3221.1971.1130
21.00001.00001.00001.0000.9998.9988.9963.9848.9104.7788.6174.4552.3127
31.00001.0000.9998.9984.9815.9306.8389.7133.5696
41.0000.9999.9972.9841.9496.8854.7897
51.0000.9997.9973.9883.9657.9218
61.0000.9997.9980.9924.9784
71.0000.9998.9988.9957
81.0000.9999.9994
91.00001.0000
110.9881.9763.9646.9416.8864.7847.6938.5404.2824.1422.0687.0317.0138
1.9999.9997.9994.9984.9938.9769.9514.8816.6590.4435.2749.1584.0850
21.00001.00001.00001.0000.9998.9985.9952.9804.8891.7358.5583.3907.2528
31.0000.9999.9997.9978.9744.9078.7946.6488.4925
41.00001.0000.9998.9957.9761.9274.8424.7237
51.0000.9995.9954.9806.9456.8822
6.9999.9993.9961.9857.9614
71.0000.9999.9994.9972.9905
81.0000.9999.9996.9983
91.00001.0000.9998
101.0000
"} {"image_path": "images/9202001f2547568af1ca3a9accb7a3c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
"} {"image_path": "images/f47c8a28ffce98ea547beffe15c4c061.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$U_0$ δ(%)$ \\begin{array}{c}\\mathrm{U}_{\\mathrm{bo}} \\\\ (\\mathrm{cm} / \\mathrm{s})\\end{array} $$ \\overline{U_{b}} $ f$(1 / \\mathrm{s})$$\\overline{D}_b$(cm)$\\varepsilon_d$(-)$U_d$(cm/s)
pressurecm/s$N_2$Ar$N_2$Ar$N_2$Ar$N_2$Ar$N_2$Ar$N_2$Ar$N_2$Ar
1 bar22.73.31.601.6359493.43.72.82.60.5240.5520.330.35
34.85.02.702.6556533.43.94.84.10.5010.5350.270.31
47.06.03.713.6953623.74.16.05.40.4900.5300.250.28
57.17.24.724.7066653.94.37.36.60.4890.5240.240.26
3 bar23.33.11.621.5949513.43.72.82.60.5300.5600.350.38
34.84.92.662.6055534.04.24.03.70.5140.5490.310.37
46.06.23.653.6461594.15.05.34.40.5110.5450.300.33
57.17.44.674.6166624.56.16.24.50.5100.5440.290.34
6 bar23.73.71.571.5243413.34.72.81.90.5410.5820.390.45
35.75.02.602.4846504.4 6.63.5 2.30.5340.5790.360.47
47.36.93.593.4749505.07.84.32.70.5340.5790.360.46
57.88.54.604.4559525.78.94.83.00.5310.5790.350.47
9 bar24.03.91.531.3938363.36.42.81.30.5560.6010.440.56
35.55.32.512.3946454.48.23.41.70.5510.6010.440.55
47.77.23.503.3545475.210.44.01.90.5500.6020.430.57
58.78.84.504.3552497.311.43,72.30.5480.6000.430.55
12 bar23.83.71.441.3038354.85.91.81.30.5700.6180.520.65
35.1 5.5 2.432.2748417.27.52.01.80.5680.6180.520.64
47.47.53.413.2646438.09.72.52.00.5670.6180.510.64
59.410.44.384.22474110.012.92.62.00.5680.6180.510.64
15 bar23.53.61.381.2239344.66.21.81.20.5820.6310.580.72
35.65.32.352.2242426.88.02.11.70.5800.6320.580.70
47.28.03.423.1947407.510.02.71.80.5790.6290.580.70
510.310.04.313.96424010.214.02.51.70.5780.6290.570.70
"} {"image_path": "images/ab360790309519acb098b74c1ecfe72b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基本直径$d_{1} /$mm径向厚度“常规”$a_1$/mm环高$h_1$/mm闭口间隙$s_1$/mm切向弹力$F_1$/N径向弹力$F_{d}$/N
基本尺寸极限偏差尺寸分栏极限偏差基本尺寸极限偏差与 $h_1$ 分栏对应极限偏差与 $h_1$ 分栏对应极限偏差
123451234512345
90919293943.753.803.853.903.90$ \\pm 0.15$同一片环上最大差 : 0.15-1.7522.53-0.010-0.030磷化环:-0.005-0.0300.3+0.250-12.312.512.813.012.714.114.314.614.914.517.618.018.318.618.221.221.622.022.421.9$F_{1}<10$ 时:±30%$F_{1}\\geqslant 10$ 时:±20%-26.426.927.528.027.330.730.731.432.031.237.838.739.340.039.145.646.447.348.247.1$F_{4}<21.5$ 时:$\\pm 30\\%$$F_{4}\\geqslant 21.5$ 时:$\\pm 20\\%$
95969798993.954.004.054.104.1512.913.213.413.613.814.813.215.115.315.615.818.518.819.219.519.822.322.623.023.423.827.728.428.829.229.731.832.532.933.534.039.840.441.341.942.647.948.649.550.351.2
1001011021031044.154.204.254.254.30$\\pm 0.20$同一片环上最大差: 0.2022.5 2.53-0.010-0.030磷化环:0-0.03015.515.716.016.215.919.419.720.020.319.923.3 23.7 24.0 24.4 23.933.333.834.434.834.241.742.443.043.6 51.051.652.551.4
1051061071081094.354.404.404.454.5016.116.316.016.216.420.120.420.020.320.624.224.624.124.424.834.635.034.434.835.343.243.943.043.644.352.052.951.852.552.5
"} {"image_path": "images/e48fae934b58f42c3867a1b190a070a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号 $I_{max}$(A)$V_{\\mathrm{mm}}$(V) $I_{min}$(A)$T_{\\pi}(S)$$V_{\\text{max}} \\\\ (\\text{V})$ $\\begin{matrix} i_{\\text{f}} \\\\ (\\text{A}) \\end{matrix}$外形与类型型 号I#(A)V$_min$(V)$ \\begin{array}{c}I_{\\text{tan}}(\\Lambda)\\\\ T_{\\mathrm{rr}}(\\mathrm{S})\\end{array} $! $\\left(\\mathrm{V}\\right) \\quad(\\mathrm{A})$外形与类型
VA20X70m2.0k250n#6.0 10mDO-35(k)VBO13 - 14A02181.4k2301.8 55Module-q(q)
VA25X70m2.5k250n#8.0 10mDO-35(k)VBO13 - 14N02181.4k2301.8 55Module-q(q)
VA30X70m3.0k250n#8.0 10mDO-35(k)VBO13 - 16A02181.6k2301.8 55Module-q(q)
VAS13125m100.30n#1.0 125mPill-B(k)VBO13 - 16N02181.6k2301.8 55Module-q(q)
VAS23150m20300p#1.0 150mPill-B(k)VBO15 - 02N04132003001.1 7.5Module(q)
VAS33200m30300p#1.0 200mPill-B(k)VBO15 - 04N04134003001.1 7.5Module(q)
VAS44200m40400p#1.0 200mPill-B(k)VBO15 - 06N04136003001.1 7.5Module(q)
VAS54300m50400p#1.0 300mPill-B(k)VBO15 - 08N04138003001.1 7.5Module(q)
VAS55300m50500p#1.0 300mPill-B(k)VBO15 - 10N04131.0k3001.1 7.5Module(q)
VAS64300m60400p#1.0 300mPill-B(k)$ \\text{ VBO20-04N02} $314003151.6 55Module-q(q)
VAS65300m60500p#1.0 300mPill-B(k)VBO20-06N02316003151.6 55Module-q(q)
VB10X80m1.0k250n#6.0 10mAxial -10(k)$ \\text{ VBO20-08N02} $318003151.6 55Module-q(q)
VB20X80m2.0k250n#6.0 10mAxial -10(k)VBO20 - 10N02311.0k3151.6 55Module-q(q)
VB30X40m3.0k250n#12 10mAxial -10(k)VBO20 - 12A02311.2k3151.6 55Module-q(q)
VB40X40m4.0k250n#12 10mAxial -10(k)VBO20 - 12N02311.2k3151.6 55Module-q(q)
VB50X40m5.0k250n#12 10mAxial -10(k)VBO20 - 14A02311.4k3151.6 55Module-q(q)
VB75X25m7.5k250n#18 10mAxial -10(k)VBO20 - 14N02311.4k3151.6 55Module-q(q)
VB100X25m10k250n#20 10mAxial -10(k)VBO20 - 16A02311.6k3151.6 55Module-q(q)
VB150X5.0m15k250n# 5.0mAxial -10(k)VBO20 - 16N02311.6k3151.6 55Module-q(q)
VBO06 - 02N044.52001251.0 3.0Module(q)$ \\mathrm{VBO24-02N04} $242003001.1 12Module(q)
VBO06 - 04N044.54001251.0 3.0Module(q)VBO24 - 04N04244003001.1 12Module(q)
VBO06 - 06N044.56001251.0 3.0Module(q)VBO24-06N04246003001.1 12Module(q)
VBO06 - 08N044.58001251.0 3.0Module(q)VBO24 - 08N04248003001.1 12Module(q)
VBO06 - 10N044.51.0k1251.0 3.0Module(q)VBO24 - 10N04241.0k3001.1 12Module(q)
VBO10 - 02N047.52002001.1 5.0Module(q)VBO25 - 04N02384003901.4 55Module-q(q)
VBO10 - 04N047.54002001.1 5.0Module(q)VBO25 - 06N02386003901.4 55Module-q(q)
VBO10 - 06N047.56002001.1 5.0Module(q)VBO25 - 08N02388003901.4 55Module-q(q)
VBO10 - 08N047.58002001.1 5.0Module(q)VBO25 - 10N02381.0k3901.4 55Module-q(q)
VBO10 - 10N047.51.0k2001.1 5.0Module(q)VBO25 - 12A02381.2k3901.4 55Module-q(q)
VBO13 - 04N02184002301.8 55Module-q(q)VBO25 - 12N02381.2k3901.4 55Module-q(q)
VBO13 - 06N02186002301.8 55Module-q(q)1VBO25-14A02381.4k3901.4 55Module-q(q)
VBO13 - 08N02188002301.8 55Module-q(q)VBO25 - 14N02381.4k3901.4 55Module-q(q)
VBO13 - 10N02181.0k2301.8 55Module-q(q)VBO25 - 16A02381.6k3901.4 55Module-q(q)
VBO13 - 12A02181.2k2301.8 55Module-q(q)VBO25 - 16N02381.6k3901.4 55Module-q(q)
VBO13 - 12N02181.2k2301.8 55Module-q(q)VBO35 - 02N04322004001.1 17Module(q)
"} {"image_path": "images/6cedc4c4bb5df400b7b93bb814f24ef2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\gamma$cExp-Erl-HExp-MNC-MPC-
0.21Exp+0.4367750.4366130.4371440.4370260.43714
Erl+0.4327550.4317150.4345170.4340540.43444
HExp+0.4402010.4403290.4398380.4400220.439865
MNC+0.4360560.4361340.4359140.4359290.435841
MPC+0.4361550.4362040.436030.436070.435998
2Exp+0.503830.5022760.5054830.5062710.506548
Erl+0.4498610.4442450.4559890.4573680.457559
HExp+0.5287960.5284340.5288070.5296280.529763
MNC+0.5225280.5229070.5217550.5221640.521958
MPC+0.5253450.5257250.5244720.5247580.524366
3 4Exp+0.4659140.4591220.4738060.4760830.476425
Erl+0.1634220.1493320.1873810.1834160.186025
HExp+0.532250.527650.5374530.5396760.540736
MNC+0.589980.5902470.5889940.5902040.589885
MPC+0.6073850.60840.6051650.6058820.604947
Exp+0.2381280.222330.2644370.2610360.265509
Erl+0.0508320.0352610.0848270.0732290.079946
HExp+0.3941550.3807580.4139890.4147120.41961
MNC+0.6065150.6025110.6115970.6133740.614088
MPC+0.7022920.7027960.7011750.7016980.701173
0.31Exp+0.4618450.4617140.4621460.4620530.462147
Erl+0.4581680.4572380.4596990.4593380.459683
HExp+0.464270.4643550.4640320.4641540.464052
MNC+0.4614080.461480.4612760.4612950.461211
MPC+0.4613810.4614220.461280.4613090.461249
2Exp+0.5370680.5351540.5391870.5399850.540314
Erl+0.469920.4625790.4780670.4795510.47987
HExp+0.5599390.5593270.5604270.5611420.561404
MNC+0.5604270.5607650.5597260.560120.559909
MPC+0.5633070.5636530.5625330.5627730.56241
3Exp+0.4670870.4581650.4780020.4801050.480964
Erl+0.1510060.1339940.1800120.1746240.17885
HExp+0.5484870.5427720.5554050.5575560.559081
MNC+0.6222250.6220120.6220030.6231560.622977
MPC+0.6450990.6459260.6433380.6438810.643102
4Exp+0.2321530.2138810.2626680.2582480.264398
Erl+0.0683310.0489220.1069150.095410.1034
HExp+0.3999920.3853270.4222910.4224150.428475
MNC+0.6149590.6094770.6224110.6239550.625316
MPC+0.7306430.7306220.7306960.7308420.730751
0.41Exp+0.4826320.4824910.4829530.4828550.482957
Erl+0.4790710.4781560.4805540.4802290.480566
HExp+0.4845910.4846450.4844350.4845220.484461
MNC+0.4824880.4825430.4823950.4824030.482337
MPC+0.4824330.4824640.4823670.4823790.482335
2Exp+0.5635230.5610850.566340.5671410.567569
Erl+0.4810980.4717850.4915740.4931740.493709
HExp+0.5865710.585640.5876320.5882480.588676
MNC+0.5925830.5928060.59210.5924470.592283
MPC+0.5960680.5963510.5954580.5956280.595328
3Exp+0.4629380.4518760.476950.4788190.480354
Erl+0.1475140.1278040.1805460.1744340.18006
HExp+0.5609390.5541050.5696050.5716630.573707
MNC+0.6473340.6464970.6481040.649180.649224
MPC+0.6769580.6775440.6757580.6761020.675534
4Exp+0.2334120.2129840.267250.2622980.269899
Erl+0.0874640.0646460.1296140.1186680.127738
HExp+0.4078880.3921720.4322320.4318850.438997
MNC+0.6190030.6120340.6288520.6301480.632241
MPC+0.7536790.7530980.7549440.7547220.755106
"} {"image_path": "images/ba967363a2523ec591a1563979856828.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ross, DavidHealthALIMA PlanFDisplayed his power—and then some—again in limited PT as backup CA. His 2H HR were found money in deep-league # 2 CA slots. All you had to do was coordinate his injury-dependent AB and streaks with your roster-fillneeds. History says he won't hurt, but good luck timing his brief/limited moments of upside.
Age36BatsRPos CAPT/EXPFRand Var-2
Ht6'2\"Wt205ConsistBMM4001
YrTmABRHRRBISBBAxBAVLvROBSigOPSbb%ct%h%EyeGLFPXxPXhr/fSpdSBOSB%#WkDOMDISRC/GRARBPVBPXRS
082TM *2002441702082302062413263346591569280.563825371001358%892%0%2025%60%3.43-5.200-S2
09ATL1281872002732672502843765088841470340.54302249171 4910616% 810%0%2241%36%6.708.851104$3
10ATL121152280289281308256390 4798691477360.713821411501255%933%0%2635%50%6.517.679172$3
11ATL152146230263236240275333 3334287611066360.3128264513215414%762%0% 0%2438%58%4.8023-2-4$2
12ATL176189231256233241268325449774966340.3034234314215218%732%100%2540%56%5.0338615$3
1st Half687370279265357\n2253554568111166380.3523364113212517%770%0%1145%55%5.732.9-3-8$0
2nd Half10811661241221176298305444750866310.2741154414716819%754%100%1436%57%4.6113923$5
13Proj1571772302612392542673394497891168340.3733244314014515%772%47%5.224.61947$3
"} {"image_path": "images/4247d61e63e3eee68b9a70ea60557c71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x24568
y3040605070
"} {"image_path": "images/0dd8ddbf9ca0cd333cf36fcad932e75f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
航線別航空公司别臺 中 機 場
合 计入 境出 境
飛行架次(次)提供座位(位)载客人数(人)载客率(%)飛行架次(次)提供座位(位)载客人数(人)载客率(%)飛行架次(次)提供座位(位)载客人數(人)载客率(%)
總 計2,815373,649249,63466.811,408186,434125,01967.061,407187,215124,61566.56
國際航線(含港澳)2,518330,983214,47364.801,259165,016107,42965.101,259165,967107,04464.50
首爾仁川合計475650466.67237832886.77237817646.56
德威475650466.67237832886.77237817646.56
仙台合計463249277.85231624778.16231624577.53
復興463249277.85231624778.16231624577.53
札幌合計172,5281,94276.8281,26497076.7491,26497276.90
中華172,5281,94276.8281,26497076.7491,26497276.90
河内合計20921,84014,94568.4310511,0247,04863.9310410,8167,89773.01
華信20921,84014,94568.4310511,0247,04863.9310410,8167,89773.01
長崎合計121,24897878.37662447876.60662450080.13
華信121,24897878.37662447876.60662450080.13
胡志明市合計64586,33463,51773.5732142,38032,37476.3932443,95431,14370.85
華信64185,59862,95673.5531942,01232,08176.3632243,58630,87570.84
越南473656176.22236829379.62236826872.83
澳門合計1,611215,337130,23160.48807107,87665,06260.31804107,46165,16960.64
長榮55283,39059,90571.8427641,70629,90071.6927641,68430,00571.98
華信60362,60840,80265.1730331,40820,26264.5130031,20020,54065.83
復興34253,35821,61140.5017126,77010,97040.9817126,58810,64140.02
立榮11415,9817,91349.52577,9923,93049.17577,9893,98349.86
芹苴合計473668593.07236833290.22236835395.92
越南473668593.07236833290.22236835395.92
德島合計220819895.19110410096.1511049894.23
華信220819895.19110410096.1511049894.23
永珍合計694862966.35347431466.24347431566.46
寮國694862966.35347431466.24347431566.46
鳥取合計441635284.62220817684.62220817684.62
華信441635284.62220817684.62220817684.62
兩岸航線29742,66635,16182.4114921,41817,59082.1314821,24817,57182.69
長沙合計117014987.65117014987.65----
立榮117014987.65117014987.65----
西安合計694875079.11347437679.32347437478.90
東方694875079.11347437679.32347437478.90
青島合計264,3684,04592.61132,1842,04193.45132,1842,00491.76
山東264,3684,04592.61132,1842,04193.45132,1842,00491.76
廣州合計11418,53614,94380.62579,2687,33379.12579,2687,61082.11
長榮264,2723,59384.11132,1361,81184.78132,1361,78283.43
立榮8814,26411,35079.57447,1325,52277.43447,1325,82881.72
太原合計81,2641,22496.84463261196.68463261396.99
東方81,2641,22496.84463261196.68463261396.99
南寧合計568,4006,06672.21284,2003,03372.21284,2003,03372.21
復興568,4006,06672.21284,2003,03372.21284,2003,03372.21
石家莊合計282,9122,81096.50141,4561,40296.29141,4561,40896.70
華信282,9122,81096.50141,4561,40296.29141,4561,40896.70
汕頭合計484,9924,21084.33242,4962,15686.38242,4962,05482.29
華信484,9924,21084.33242,4962,15686.38242,4962,05482.29
梅縣合計101,07696489.59553848990.89553847588.29
華信883273888.70441637790.63441636186.78
南方224422692.62112211291.80112211493.44
"} {"image_path": "images/f1b517924eea9fe955dcaeb842fdeeac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日 期 3161GC 19742 54033 Boo$ \\begin{gathered} \\text { GC } \\\\\\pi^{2} \\mathrm{Bo} \\end{gathered} $ (543)$\\underline{\\xi}​$ Boo m138232 Boo
m5.5 A0 m5.39 A0 m4.94 A0 m3.86A2 m5.63 G5
h m14 37 。 ,+54 03 h m14 38 。 ,+45 25 h m14 40 。 ,+16 26 h m14 40 。 ,+13 45 h m14 41 。 ,+11 41
S\"S\"S71.80S\"S\"
1 月-657.46022.5929.79276.4418.17271.8043.09448.4817.55546.07
457.85819.8030.14573.6418.47969.3643.39946.1117.86043.74
1458.29217.4530.52571.2418.80367.1143.72243.8918.18241.54
2458.74815.6830.92369.3619.13765.1444.05441.9218.51239.59
2 月359.20714.5331.32068.0619.46663.5144.38240.2818.83837.93
1359.65814.0231.70967.3419.78662.2744.69939.0019.15436.61
2360.08714.1832.07767.2620.08761.4744.99938.1319.45235.69
3 月560.47814.9832.41367.7920.36361.1145.27337.6819.72535.17
1560.82616.3532.71468.8720.61261.1745.52137.6319.97235.03
2561.12118.2732.97170.4920.82961.6545.73737.9820.18835.29
4 月461.35820.5933.18072.5121.01362.4745.92238.6820.37235.88
1461.53723.2533.34474.8721.16663.6046.07539.6620.52636.75
2461.65226.1433.45777.4821.28564.9846.19540.9020.64837.87
5 月461.70829.1133.52380.1921.37266.5146.28542.2820.73939.15
1461.70732.0933.54582.9421.43068.1446.34543.7820.80140.54
2461.64834.9733.52185.6321.45669.8246.37545.3320.83241.98
6 月361.54137.6233.45888.1321.45571.4446.37746.8420.83743.41
1361.38740.0333.35790.4321.42773.0146.35348.3120.81544.79
2361.19042.0733.22092.4121.37174.4346.302 49.6520.76746.06
7 月360.96043.7033.05794.0321.29375.6846.228 50.8420.69547.20
1360.69844.9232.86595.2821.19276.7546.13151.8720.60148.20
2360.41345.6332.65396.0921.07277.5746.01552.6820.48848.99
8 月260.11545.8732.42896.4620.93978.1645.88653.2720.36049.58
1259.80545.6332.19196.3920.79378.5045.74453.6420.22149.97
2259.49744.8631.95595.8420.64378.5545.59853.7420.07750.12
9 月159.20043.6431.72594.8620.49678.3445.45453.6119.93550.04
1158.91941.9531.50793.4420.35777.8545.31853.2119.80049.70
2158.67039.8131.31591.5920.23677.0545.20052.5219.68349.11
10 月158.46037.2931.15589.3720.14075.9945.10651.5819.59148.26
1158.29734.4031.03586.7820.07674.6245.04450.3519.53047.14
2158.19531.2030.96683.8820.05372.9845.02448.8519.51045.75
3158.15627.7830.95280.7520.07471.0945.04747.1119.53444.12
11 月1058.18824.1730.99877.4020.14568.9545.12045.1219.60742.24
2058.29720.4931.11073.9420.26866.6345.24442.9319.73140.16
3058.47816.8331.28270.4720.43964.1645.41540.5919.90337.92
12 月1058.73113.2631.51567.0420.65761.6045.63438.1420.12135.56
2059.04909.9431.80263.8020.91659.0445.89335.6820.38033.17
3059.41906.9432.13260.8321.20656.5446.18233.2620.66830.80
4059.83504.3532.49858.2221.52154.1946.49630.9520.98028.54
平位置年自行 (J1991.5) 59.013 35.4631.251 87.5219.618 76.0844.552 52.0019.017 18.96
0.0016 -0.019-0.0063 -0.0170.0012 0.0130.0038 -0.017-0.0105 -0.115
视 差0.0000.0000.0000.0000.000
"} {"image_path": "images/cdd97c88394e1b30a55fbca5d51fdb42.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类 别热 能(千卡)蛋白质(克) 钙(克) 铁(毫克)维生素A维生素$B_1$(毫克)核黄素(毫克)尼克酸(毫克)维生素C(毫克)
维生素A(国际单位)胡萝卜素(毫克)
成年男子(体重65)极轻体力劳动2400700.612220041.21.21275
轻体力劳动2600750.612220041.31.31375
中等体力劳动3000800.612220041.51.51575
重体力劳动3600900.612220041.31.81875
极重体力劳动42001050.612220042.12.12175
成年女子(体重65)极轻体力劳动2200650.612220041.11.11170
轻体力劳动2400700.612220041.21.21270
中等体力劳动2800750.612220041.41.41470
重体力劳动3400850.612220041.71.71770
孕妇(后 5 个 月)+300+151.51533006+0.2+0.2+2100
乳母 ( 1年之内 )+1000+252.01539007+0.5+0.5+5150
少男(54)
年子(42)
16-19岁3000901.015220041.81.51890
13-16岁2600801.215220041.61.31680
少女(50)
年子(42)
16-19岁2700801.015220041.61.41675
13-16岁2500751.215220041.51.31575
儿 童( 不分性别 )10-13岁2300700.81222001.41.21475
7-10岁2000600.6102200441.21.01265
5-7岁1600500.68220041.00.81050
3-5岁1400400.67170030.80.7840
2-3岁1200400.6713002.40.70.6735
1-2岁1100400.66110020.70.6730
1岁以下100/体重3.5/体重0.666001.20.40.4430
6月以下120/体重
"} {"image_path": "images/a24385bf4ba984b57e7add7a38cfbf31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
公称尺寸(螺纹规格)d22.5345681012141620243036
$d_1$内径maxGB/T 848-20022.342.843.384.485.486.628.6210.7713.2715.2717.2721.3325.3331.3337.62
GB/T 97.1-200231.39
GB/T 97.2-2002----
GB/T 96-2002--3.383.4822.5226.843440
公称 $(\\mathrm{min})$GB/T 848-20022.22.73.24.35.36.48.410.513151721253137
GB/T 97.1-2002
GB/T 97.2-2002----
GB/T 96-2002--3.24.322263339
$d_2$内径公称 (max)GB/T 848-20024.5568911151820242834395060
GB/T 97.1-200256791012162024283037445666
GB/T 97.2-2002----
GB/T 96-2002--91215182430374450607292110
minGB/T 848-20024.24.75.77.648.6410.5714.5717.5719.4823.4827.4833.3838.3849.3858.8
GB/T 97.1-20024.75.76.648.649.6411.5715.5719.4823.4827.4829.4836.3843.3855.2664.8
GB/T 97.2-2002----
GB/T 96-2002--8.6411.5714.5717.5723.4829.4836.3843.3849.3858.170.189.8107.8
h厚度公称GB/T 848-20020.30.50.50.511.61.61.622.52.53445
GB/T 97.1-20020.822.53
GB/T 97.2-2002----
GB/T 96-2002--0.811.21.622.53334568
maxGB/T 848-20020.350.550.550.551.11.81.81.82.22.72.73.34.34.35.6
GB/T 97.1-20020.92.22.73.3
GB/T 97.2-2002----
GB/T 96-2002--0.91.11.41822.73.33.33.34.6679.2
minGB/T 848-20020.250.450.450.450.91.41.41.41.82.32.32.73.73.74.4
GB/T 97.1-20020.71.82.32.7
GB/T 97.2-2002----
GB/T 96-2002--0.70.91.01.41.82.32.72.72.73.4456.8
"} {"image_path": "images/b60d28b8e8a10c111e5879317af8b66c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
链条节距t链条张力Pkg支柱公称高 度HCDEJKa$a_1$$a_2$$a_3$b$b_1$$b_2$$H_1$$H_2$$H_3$d$d_1$
100500$\\leqslant 2500$2501402802501807002901608803002005001402501602622
$2501 \\sim 3500$
$501 \\sim 750$$\\leqslant 2500$300185
$2501 \\sim 3500$35021029
$2501 \\sim 4500$400235
$751 \\sim 1000$$\\leqslant 2500$350210
$2501 \\sim 3500$45026032
$2501 \\sim 4500$5508503653101050
$1001 \\sim 1250$$\\leqslant 2500$40070029023588029
$2501 \\sim 3500$550850365310105032
$2501 \\sim 4500$650375360
$1251 \\sim 1500$$\\leqslant 2500$450700290260880
$2501 \\sim 3500$6008503653351050
$2501 \\sim 4500$75090041041033029020038
"} {"image_path": "images/6ae4d95cc0ac2bb751b158f54dfc166f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
WLH
120130140150160180200220250280300350400
300300350400450500550600
350350400450500550600
400400450500550600700
450450500550600700
500500550600700800
550550600700800900
6006007007009001000
6506507008009001000
70070080090010001250
80080090010001250
900900100012501600
1000100012501600
1250125016002000
"} {"image_path": "images/cb8fd82a6db65872f1cd75ee57c91307.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
标准文档要求病历1病历2病历3病历4病历5总计
#___DX:#___DX:#___DX:#___DX:#___DX:
YNNAYNNAYNNAYNNAYNNAY/N
$ \\mathrm{ACC} .3 .2 .1 $出院小结包含以下内容:• 入院主诉、诊断和并发症
• 重要的查体和其他发现
• 诊断性和治疗性操作
• 重要的药物治疗,包括出院带药
• 患者出院的条件/状况
• 出院随访医嘱
$ \\begin{array}{cccc}\\text { ACC. } 4.4\\end{array} $转院病人病历包括以下内容:• 同意接收患者的医疗机构和人员名称
• 转院原因
• 所有转院相关的特殊条件
• 转院中发生的任何患者状况的改变
"} {"image_path": "images/4e892dfb313fe48a69ce9a00a32a71af.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)无锡金鲤陶瓷有限公司
建设项目名称高档陶瓷酒瓶智能化生产线建设
建设位置丁蜀镇建新村
建设规模总建筑面积:7024.35平方米;其中计容面积7024.35平方米。
附图及附件名称
1、该工程为无锡金鲤陶瓷有限公司建造的车间一、二,共2幢建筑,用房性质为工业,总建筑面积7024.35平方米,计容建筑面积7024.35平方米。
2、具体详见附件:1、附件1份;2、核准施工图1套;3、核准定位图1套。
3、本项目的代码为:2020-320255-30-03-653364。
4、本证不作为办理营业执照、产权登记的依据。
"} {"image_path": "images/5c6a6ab88ff119e53d96d90031613a9c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LoadWatt(W)DaysHours of the day starting from hour 1 in $1^{\\text {st }}$ day to hour 72 in $3^{\\text {rd }}$ day
$ 1^{st} day$123456789101112131415161718192021222324
$ 2^{nd} day$252627282930313233343536373839404142434445464748
$ 3^{rd} day$495051525354555657585960616263645466676869707172
L1505
L2455
L3400
L4460
L5650
L6750
L71150
L8800
TotalWatt1420222096017101360161021101420
"} {"image_path": "images/e9fd6233305c4e5da9ee3976fc7223b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
次数第一次第二次第三次第四次第五次
爬行长度+
4cm
-
6cm
+
5cm
-
8cm
+
10cm
离出发点距离
"} {"image_path": "images/9160be863f9e472111bc45dd9ef14090.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别 型号(高度×宽度)截面尺寸/mm截面面积$\\text{/cm}^2$理论重量/kg/m截面特性参数
H×B$t_{1}$$t_{2}$r惯性矩$\\text{/cm}^4$惯性半径/cm截面模数$\\text{/cm}^3$
$I_{x}$$I_{y}$$i_{x}$$i_{y}$$W_{x}$$W_{y}$
HW100×100100×100681021.9017.23831344.182.4776.526.7
125×125125×1256.591030.3123.88472945.293.1113647.0
150×150150×1507101340.5531.916605646.393.7322175.1
175×175175×1757.5111351.4340.329009847.504.37331112
200×200200×2008121664.2850.5477016008.614.99477160
# 200×20412121672.2856.7503017008.354.85503167
250×250250×2509141692.1872.410 800365010.86.29867292
# 250×255141416104.782.211 500388010.56.09919304
300×300# 294×302121220108.385.017 000552012.57.141160365
300×300101520120.494.520 500676013.17.491370450
300×305151520135.410621 600710012.67.241440466
350×350# 344×348101620146.011533 3001120015.18.781940646
350×350121920173.913740 30013 60015.28.842300776
400×400# 388×402151524179.214149 20016 30016.69.522540809
# 394×398111824187.614756 40018 90017.310.02860951
4000×400132124219.517266 90022 40017.510.133401120
# 400×408212124251.519771 10023 80016.89.7335601170
# 414×405182824296.223393 00031 00017.710.244901530
# 428×407203524361.4284119 00039 40018.210.455801930
﹡ 458×417305024529.3415187 00060 50018.810.781802900
﹡ 498×432457024770.8605298 00094 40019.711.112 0004370
HM150×100148×100691327.2521.410401516.172.3514030.2
200×150194×150691639.7631.227405088.303.5728367.7
250×175244×1757111656.2444.1612098510.44.18502113
300×200294×2008122073.0357.311 400160012.54.69779160
350×250340×25091420101.579.721 700365014.66.001280292
$ \\begin{array}{r}400 \\times 300\\end{array} $390×300101624136.710738 900721016.97.262000481
450×300440×300111824157.412456 100811018.97.182550541
500×300482×300111528146.411560 800677020.46.802520451
488×300111828164.412971 400812020.87.032930541
600×300582×300121728174.5137103 000767024.36.633530511
588×300122028192.5151118 000902024.86.854020601
# 594×302142328222.4175137 00010 60024.96.904620701
"} {"image_path": "images/d830ada113c85224161ceb9c77e4ff97.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份(一) 法 定 傳 染 病(二) 其 他 傳 染 病
(1)傷寒(2)斑疹傷寒(3)白喉(4)天花(5)鼠疫(6)霍亂(7)赤痢 (8)流瘠行髓性膜筋炎(9)猩紅熱(10)麻疹(11)水痘(12)百日咳(13)流腮行腺性炎(14)回歸熱(15)狂犬病(16)#疾(17)黑熱病(18)其他總計
男女男女男女男女
6161
25575
2121
6363
22
十一
十二
合計255147 2112
2102133
"} {"image_path": "images/66d94e543799608792862d6c315384c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人) 浙江沧田智能信息科技有限公司
建设项目名称 新建年产智能打印设备100万台生产项目(3#车间等)
建设位置 魏塘街道中寒圩、魏中村
建设规模 建筑面积25341.66平方米
附件附图名称:
1、上海天功建筑设计有限公司设计施工图;
备注:地上建筑面积:25163.47平方米;地下建筑面积:178.19平方米。
"} {"image_path": "images/198ebd4417095e07b182b2605add6d3f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
评分内容评分标准评分权重总分
采访提纲及采访内容采访提纲科学合理;采访内容完整。40%
梳理祖国近几十年的发展变化并分析原因。紧扣主题内容,感悟深刻、分析全面。50%
字数要求500字左右10%
"} {"image_path": "images/315fa6aeb748d99026ce14db3ffbcd2c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
合同包招标项目交货期
1$ \\underline{福建新华发行(集团)有限责任公司全省宽带服务采购项目} $2022年4月20日前完成
"} {"image_path": "images/a3ff085ffa8634ecf4a4a4a3a86d20f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$I^π$$\\tau\\ [\\text{ps}]$$E_{\\gamma}~[keV]$$\\sigma\\lambda$$ \\begin{array}{c}I_{\\gamma}~\\text{[a.u.]}\\\\ \\end{array} $$B(\\sigma \\lambda)$ [W.u.]
$21^+$$0.51 \\pm 0.15$1072E24.1$18_{-4}^{+18}$
554M12$0.10_{-0.04}^{+0.10}$
$20^+$$0.68 \\pm 0.17$1046E215$23_{-3}^{+11}$
518M1$\\leqslant 3$$\\leqslant 0.04$
$19^+$$0.42_{-0.12}^{+0.15}$993E25.6$25_{-5}^{+17}$
528M14.3$0.19_{-0.04}^{+0.13}$
$18^+$$0.51 \\pm 0.10$961E224$40_{-6}^{+13}$
277M15.8$0.55_{-0.11}^{+0.21}$
465M1$\\leqslant 3$$\\leqslant 0.04$
$17^+$$0.83 \\pm 0.20$911E215$21_{-3}^{+10}$
495M113$0.13_{-0.02}^{+0.06}$
274M1 $\\leqslant 3$$\\leqslant 0.12$
$16^+$$0.76_{-0.16}^{+0.19}$879E241$37_{-6}^{+14}$
679E23.2$11_{-2}^{+5}$
253M111$0.45_{-0.08}^{+0.19}$
415M1$\\leqslant 3$$\\leqslant 0.02$
$15^+$$0.68_{-0.19}^{+0.24}$807E218$28_{-5}^{+17}$
464M133$0.26_{-0.04}^{+0.15}$
264M1$\\leqslant 3$$\\leqslant 0.1$
$14^+$$1.24 \\pm 0.32$739E291$60_{-8}^{+29}$
343M114$0.08_{-0.01}^{+0.04}$
145M14.5$0.31_{-0.04}^{+0.15}$
"} {"image_path": "images/6d454771d8b7532b12769921f4ee56f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)临海市东州文化旅游有限公司
建设项目名称临海市熊出没文旅产业园JD01、FA03、GS09
建设位置临海市邵家渡街道大路王村、前洋村、枧桥一村
建设规模总建筑面积7148.91平方米,其中FA03楼建筑面积3112.58平方米,GS09楼3310.62平方米,JD01楼725.71平方米
附件附图名称:
1、总平
2、建筑施工图
"} {"image_path": "images/456a7bdc8d43da4f52c093da1a25bba3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
配方含量(每升)
牛脑浸出粉10.0g
葡萄糖2.0g
牛心浸出粉9.0g
氯化钠5.0g
月示蛋白胨10.0g
磷酸氢二钠2.5g
琼脂15.0g
最终pH 7.4±0.2
"} {"image_path": "images/ff8a513130021afb027e28ca5b6a5df3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产地
销地
产量
1102059105
221083066
312071042
4863759
销量44624
"} {"image_path": "images/cd030a6330458f99b707ea1c83e74655.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分
"} {"image_path": "images/b9437e2fb6d5a38aceed31d092237f93.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科目
天数
小时
日程
周次
轮次
外语化学物理数学语文体育
19191715
早上上午下午晚上早上上午下午晚上早上上午下午晚上早上上午下午晚上早上上午下午晚上早上上午下午晚上
111XXXXXX
2XXXXXX
3XXXXXX
4XXXXXX
5XXXXXX
6XXXXXX
XXXXXX
28XXXXXX
9XXXXXX
10XXXXXX
11XXXXXX
12XXXXXX
13XXXXXX
XXXXXX
315XXXXXX
16XXXXXX
17XXXXXX
18XXXXXX
19XXXXXX
20XXXXXX
XXXXXX
422XXXXXX
23XXXXXX
24XXXXXX
25XXXXXX
26XXXXXX
27XXXXXX
XXXXXX
529XXXXXX
30XXXXXX
31XXXXXX
32XXXXXX
33XXXXXX
34XXXXXX
XXXXXX
"} {"image_path": "images/9436a4dae0a2d825a3c9387d9dbd853a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
得分
"} {"image_path": "images/186aad18e5aeacf4055cda0aa3e1d632.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "


























"} {"image_path": "images/242538bf7b24087c70d16e37e7439141.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称宽度(m)长度(m)说 明改 渠 断 面改 路储 雪 平 台工 程 数 量备 注
底 宽(cm)渠 深(cm)顶 宽(cm)梁梗高(cm)底 宽(m)深(m)顶 宽(m)边 坡M7.5浆砌片石水泥砼20cm5cm后沥青混凝土20cm厚$5\\%$水泥稳定碎石碎石土面层15cm厚台阶面积开挖土方压实沉降占地
(m)$(\\begin{array}{c}m^2\\end{array})$$(\\begin{array}{c}m^2\\end{array})$$(\\begin{array}{c}m^2\\end{array})$$(\\begin{array}{c}m^2\\end{array})$$(\\begin{array}{c}m^2\\end{array})$$(\\begin{array}{c}m^3\\end{array})$$(\\begin{array}{c}m^3\\end{array})$(亩)
施工便道4.5100砂石路面450.000.675
合计100450.000.675
"} {"image_path": "images/76c9bb54d681fec51a4796c059b16dda.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
13435******54SEDA AKTIESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
13527*******78BERNA SEVGI SEVINCESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
13611******10DERYA KARAESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
13711******16ELIF ÖZDEMİRESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
13830******92ESRA ATEŞESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
13916******16FATMA KARHANESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
14028******96FILIZ DEMIR KAYAESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
14118******62GÖNÜL OMER ULFARUKOGLUESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
14248******98MELEK SUZBIRESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
14337*******00NEVIN KILINCESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
14445******98NIHAL CALISKANESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
14515******70NIHAL SUNGURESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
14631******82PINAR AKIPEKESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
14734******24SABIHA TOPALESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
14825******28ÜMMAHAN DURAKESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
14912******30SELDA TAŞKINESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
15035******06UMMAHAN ULKER KURTESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
15141******70EMIN YILMAZESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
15216******68OZCAN SEVIMESKİŞEHİR AĞIZ VE DİŞ SAĞLIĞI HASTANESİKABUL
15347******50ELIF BALCIESKIŞEHIR DEVLET HASTANESIKABUL
15418******58NAZIFE SELEN SÜMERESKIŞEHIR DEVLET HASTANESIKABUL
15521******04YASEMIN USLUESKIŞEHIR DEVLET HASTANESIKABUL
15612******78DILEK KUŞESKIŞEHIR DEVLET HASTANESIKABUL
15725******04SEBAHAT MERVE KORTANESKIŞEHIR DEVLET HASTANESIKABUL
15812********06MINE FICICIESKIŞEHIR DEVLET HASTANESIKABUL
15912******10ELIF KOSTENCEESKIŞEHIR DEVLET HASTANESIKABUL
16015******38HAVVA KARADUMANESKIŞEHIR DEVLET HASTANESIKABUL
16117******16CIGDEM DEMIRTAŞESKIŞEHIR DEVLET HASTANESIKABUL
16237******22SEVIL OZTÜRKESKIŞEHIR DEVLET HASTANESIKABUL
16338******32OZLEM OKYAYESKIŞEHIR DEVLET HASTANESIKABUL
16418******38SEVIN DEMIRTAŞESKIŞEHIR DEVLET HASTANESIKABUL
16510*******56SERPIL BILGEESKIŞEHIR DEVLET HASTANESIKABUL
16613******32YELIZ BEKDEMIRESKIŞEHIR DEVLET HASTANESIKABUL
16732******42AYSEN HICYILMAZESKIŞEHIR DEVLET HASTANESIKABUL
16848******68HATICE YONELESKIŞEHIR DEVLET HASTANESIKABUL
16912******40MELEK OSTUNDAGESKIŞEHIR DEVLET HASTANESIKABUL
17011******96VILDAN DINCESKIŞEHIR DEVLET HASTANESIKABUL
17122********80CANAN DURAKESKIŞEHIR DEVLET HASTANESIKABUL
17230******68HAVVA OZTANESKIŞEHIR DEVLET HASTANESIKABUL
17327******12AYTEN ANCTESKIŞEHIR DEVLET HASTANESIKABUL
17414******86ERCAN AKCAESKIŞEHIR DEVLET HASTANESIKABUL
17538******48EMEL CELIKESKIŞEHIR DEVLET HASTANESIKABUL
17633******12SERIFE USTUNTAŞESKIŞEHIR DEVLET HASTANESIKABUL
17713******96ILKNUR YAŞLIESKIŞEHIR DEVLET HASTANESIKABUL
17824******76FIGEN MUTLUESKIŞEHIR DEVLET HASTANESIKABUL
17937******10EBRU BUGDAYESKIŞEHIR DEVLET HASTANESIKABUL
18023******48HOLYA BARBOROSESKIŞEHIR DEVLET HASTANESIKABUL
18124******44SERAP AYDINLIK DOYUKESKIŞEHIR DEVLET HASTANESIKABUL
18229******94NURAL KARAHANESKIŞEHIR DEVLET HASTANESIKABUL
18328******76HUSEYIN ŞENESKIŞEHIR DEVLET HASTANESIKABUL
18411******68ÖZLEM KARABACAK ÖZTÜRKESKIŞEHIR DEVLET HASTANESIKABUL
18542******10SABIR ÖZGÜNESKIŞEHIR DEVLET HASTANESIKABUL
18615*******40FATMAGÜL KARABACAKESKIŞEHIR DEVLET HASTANESIKABUL
18725******10AYSE YAVUZESKIŞEHIR DEVLET HASTANESIKABUL
18814******50OZLEM KIZILTAŞESKIŞEHIR DEVLET HASTANESIKABUL
18911******48ERKAN KIZILTAŞESKIŞEHIR DEVLET HASTANESIKABUL
19023******84TUGBA BAYINDIRESKIŞEHIR DEVLET HASTANESIKABUL
19138******90MURAT KÖBALESKIŞEHIR DEVLET HASTANESIKABUL
19239******94TULAY ULKERESKIŞEHIR DEVLET HASTANESIKABUL
19315******54CEVAT AYDINESKIŞEHIR DEVLET HASTANESIKABUL
19432******16IBRAHIM MURAT DEMIRESKIŞEHIR DEVLET HASTANESIKABUL
19616******88EMINE CAKIRESKIŞEHIR DEVLET HASTANESIKABUL
19647******02ERDINC KÖROGLUESKIŞEHIR DEVLET HASTANESIKABUL
19736******92ILHAN YILMAZESKIŞEHIR DEVLET HASTANESIKABUL
19840******56CENNET CIPLAKESKIŞEHIR DEVLET HASTANESIKABUL
19913******56KADRIYE CEVIKESKIŞEHIR DEVLET HASTANESIKABUL
20043******62SEVINC MANSIZESKIŞEHIR DEVLET HASTANESIKABUL
20158******54HALIL YURTOGLUESKIŞEHIR DEVLET HASTANESIKABUL
20220******80HAMZA ÖZKANESKIŞEHIR DEVLET HASTANESIKABUL
20310******98SENAY USALANESKIŞEHIR DEVLET HASTANESIKABUL
20421******18ADIL GÖMELIESKIŞEHIR DEVLET HASTANESIKABUL
"} {"image_path": "images/1dcaf5e3fb0a7fbfa4847023d30be762.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
"} {"image_path": "images/11ec6876671d9a18115f4b968c968ad2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
扣分
"} {"image_path": "images/d48475f397e7f767c4ad123e09298c16.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
不锈钢
"} {"image_path": "images/7968a9c503ac8bfd6d5631c1f88e97c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
"} {"image_path": "images/abd0b106a191b8383572723754c9fc07.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)温州市洞头区大门镇人民政府
建设项目名称洞头大小门临港石化产业区综合配套提升工程-大门镇中心幼儿园工程
建设位置温州市洞头区大门镇洞二中地块南侧
建设规模8623平方米
附件附图名称:
1.《洞头大小门临港石化产业区综合配套提升工程—大门镇中心幼儿园工程初步设计》洞发改固(2021)56号。
2.本证有效期为一年,一年内未取得施工许可证的,又未经自然资源和规划部门同意延期的,该证自行作废。
"} {"image_path": "images/2151e3650204bdfcd8be05453ce1280d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一、选择题(本大题共10小题,每小题4分,满分40分)
1. A 2. D 3. C 4. B 5. D 6. B 7. C 8. D 9. A 10. D
二、填空题(本大题共4小题,每小题5分,满分20分)
11. x<2 12. 1(答案不唯一) 13. $ 8\\sqrt{2} $ 14.(1)$ 2\\sqrt{2}-1 $;(2)$ \\frac{9-4\\sqrt{2}}{2} $
三、(本大题共2小题,每小题8分,满分16分)
15.当x=2时,$ \\text{原式}=\\frac{1-2}{2}=-\\frac{1}{2} $.(答案不唯一,只要x不选$ 0\\le x\\le 3 $中的1即可)
16.(1)作图略;(2)作图略;(3)作图略,$ A_{3}\\left(-6,2\\right) $,$ B_{3}\\left(-6,-6\\right) $,$ C_{3}\\left(-2,4\\right) $
四、(本大题共2小题,每小题8分,满分16分)
17.(1)$ \\left(4\\times7+1\\right)^{2}=4\\times5\\times6\\times7+1 $;(2)$ \\left[n\\left(n+3\\right)+1\\right]^{2}=n\\left(n+1\\right)\\left(n+2\\right)\\left(n+3\\right)+1 $,证明略
18.小明这份营养早餐中需要谷物面包120克,牛奶220克
五、(本大题共2小题,每小题10分,满分20分)
19.信号塔AB的高度约为26米
20.(1)证明略;(2)CE的长为$ 3\\sqrt{2} $
六、(本题满分12分)
21.(1)3,4;(2)今年一季度该村家庭人均收入不低于0.85万元的约为162户;(3)能,理由略
七、(本题满分12分)
22.(1)证明略;(2)(i)证明略;(ii)$ \\frac{CF}{BD} $的值为$ \\frac{\\sqrt{5}-1}{2} $
八、(本题满分14分)
23.(1)a=-1,b=2,c=3;(2)(i)点P的坐标为(1,4)或(2,3);(ii)$ S_{1}+S_{2} $为定值,该定值为8
"} {"image_path": "images/37dd4b9ac419a09365e5c6eb7f65ec81.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
04.用户可以通过()两种方式来使用计算机。
A.命令接口和函数B.命令接口和系统调用C.命令接口和文件管理D.设备管理方式和系统调用
"} {"image_path": "images/d808a965b5ff460a853498333807ff10.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
菊花玫瑰百合
51枝25枝49枝
"} {"image_path": "images/41e71aee47c06aeb99ff0511b8163041.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)上海万九绿合置业有限公司
建设项目名称漕河泾街道348街坊278b-02地块万科南站商务城三期项目(暂名)
建设位置徐汇区漕河泾街道 东至公共绿地,南至柳州路,西至沪闵路,北至定安路
建设规模总建筑面积93185.2平方米(其中地下建筑面积0平方米),计容建筑面积88148.74平方米
附图及附件名称
附件及附图名称:
1. 《关于核发漕河泾街道348街坊278b-02地块万科南站商务城三期项目(暂名)〈建设工程规划许可证〉的决定》(编号:沪徐规划资源许建〔2020〕43号)一份。
2. 《建筑工程项目表》一份。
3. 建筑工程总平面图一份。
4. 建筑工程建筑施工图一套。
"} {"image_path": "images/4729a556e5febc87a653e8058f195340.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人) 汕头恒建通达热力有限公司
建设项目名称金平区西片区工业园区集中供热项目(二期)一标段
建设位置汕头市金平区辖区内
建设规模金平工业园至岩前路供热主管长约5.4KM,金平工业园区内供热支管长约20KM。
附图及附件名称
建设工程设计方案一式一份
建设工程设计方案总平面图一式一份
建设工程规划许可意见表一式二份
"} {"image_path": "images/62f868e7bcc6747bee46c611874bbb50.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
书名:《傅雷家书》作者:傅雷
"} {"image_path": "images/14af221d7afad6d09e00c501f24c36e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)汕头技师学院(汕头市高级技工学校)
建设项目名称汕头市高级技工学校教育用房改造工程
建设位置金平区金砂街道新美路2号
建设规模1 处地下消防水池及泵房
附图及附件名称
建设工程设计方案一式一份
建设工程设计方案总平面图一式一份
建设工程规划许可意见表一式二份
"} {"image_path": "images/665d87808e7f478b29526729db91a985.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分评卷人复核人
"} {"image_path": "images/0aa55bb057b020985806593ce34078e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题序总分
得分
"} {"image_path": "images/268733e4e61a1adba03c39aa3300f237.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)汕头市城市管理和综合执法局
建设项目名称中山东路时代广场前人行天桥易地重建项目
建设位置天山北路与春江路交叉口东侧
建设规模1座人行天桥,长51.3米(含电梯长度58.3米),宽3.5米。
附图及附件名称
建设工程设计方案一式一份
建设工程规划许可意见表一式二份
"} {"image_path": "images/c97168c293a987137688b2303045c286.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
中选单位名称项目负责人
中国太平洋财产保险股份有限公司广州市番禺支公司陈志文
"} {"image_path": "images/051921450b8338ca9777e9bc388366ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号不动产权证书号权利人不动产权利类型不动产单元号不动产坐落备注
1粤房地证字第2461981号叶雪花注销登记441602002101GB06168F00010001河源市东埔群丰村55号
"} {"image_path": "images/0e13c33ec18c6a89d86df426808c29bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)四川瀚博盖亚实业有限公司
建设项目名称商业及配套设施(基坑)(/)
建设位置锦江区三圣街道曾家坡村5组、粉房堰村2组
建设规模
附图及附件名称
方案总平图
备注:
自取得建筑项目部分或整体的建设工程规划许可证之日,该建筑项目(基坑部分)建设工程规划许可证自行失效。
"} {"image_path": "images/95aa6eab1a24a2ababc66c49d0f98a11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分
评分人
"} {"image_path": "images/e8f3df96adbe25f34512abc327eee8b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
adj.adv.
1.e.g. a careful girl
①定语②.修饰n.
1.e.g. listen carefully
①.状语②.修饰v.adj.adv.句.
2.e.g. anything special
修饰不定prep.放在其后
2.e.g. the weather here
①.部分可作定语②.修饰词后.
3.e.g. The piano is expensive
①be/系v.后.作表语
3.e.g. When will he back?
①.表示方向、位置的可作表语
4.e.g. Please keep your room clean and tidy.
宾语补足语
4.e.g. Ask Jim downstairs!
部分可作宾语补足语.
"} {"image_path": "images/ef380d5888970cfd6877672603b4fc27.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
遗产名称入选理由
A.___商朝晚期的一座古都城,位于今河南安阳。它见证了早期中国文化、工艺和科学的黄金时代以及中国青铜时代的繁盛时期。这里出土的甲骨文为世界最古老的文字系统、古代信仰和社会体系提供了宝贵证据
"} {"image_path": "images/a528571198f161e55147c16d9bfd65a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)浙江百菲乳业有限公司
建设项目名称浙江百菲乳业有限公司日加工120吨奶水牛液态奶自动化生产线建设项目一期工程
建设位置苍南县工业园区山海大道以东、花莲路以南、海峡大道以北的地块
建设规模新建计容建筑面积63514.04$ m^{2} $
附件附图名称:
1. 总平面图
2. 浙江百菲乳业有限公司日加工120吨奶水牛液态奶自动化生产线建设项目一期工程
设计文本(要件)
"} {"image_path": "images/9b7fe6210deef65f8edc1bcc70b3322f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题序总分等级
分数
"} {"image_path": "images/584ef29b63add76099adede578d88fdc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
选材(真实、新颖)立意(明确、深刻、独特)
"} {"image_path": "images/afd3c41e477270bb9c6ef5571766b389.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
人物出处喜欢的理由
"} {"image_path": "images/976d60e6e5dd3cdb3469d8e24d709897.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位安徽格美智能制造有限公司
工程名称安徽格美智能制造有限公司空气源热泵及磁电脱盐器制造项目
建设地址望江县经济开发区长岭路东侧、华阳大道南侧
建设规模28221.38平方米
合同工期2023年11月01日至2024年03月31日合同价格3068.0万元
"} {"image_path": "images/7bcf01799ddd25f75deb3c5b4c9f701f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)上海久事(集团)有限公司
建设项目名称上海市民体育公园市政道路配套工程
建设位置嘉定区安亭镇,东至安辰路,南至宝安公路,西至安晓路,北至规划二路
建设规模规划一路(规划二路-宝安公路)长560米,宽24米,新建桥梁2座;规划四路(安晓路-安辰路)长1140.71米,宽20米,新建桥梁2座。
附图及附件名称
1. 《关于核发上海市民体育公园市政道路配套工程<建设工程规划许可证>的决定》(编号:沪嘉规划资源许建〔2024〕68号)一份。
2. 建筑工程总平面图一份。
3. 建筑工程建筑施工图一套。
"} {"image_path": "images/a3aae2ea43bbfd2ca22a971d61a1774b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分
"} {"image_path": "images/4fbe60686bfe112b17cc9395ceb0eed6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LayerIn ChannelOut Channelkernel sizepaddingstride
Conv1-ReLU1831
MaxPool22
Conv2-ReLU8831
MaxPool22
Conv3-ReLU8831
MaxPool22
"} {"image_path": "images/c230f13eddd1814a73ff363169a05e10.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
事例一:松骨峰战斗事例二:烈火中救人事例三:防空洞谈话
最可爱的人的思想情感(1)$ \\underline{\\text{对敌人的不屈}} $对朝鲜人民的爱(2)___
最可爱的人的精神品质顽强刚毅,英雄主义精神 (3)___(4)___
"} {"image_path": "images/d02c05f08ae85d1e258edb49dc2811e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
需求重要性分类的关键字解释
must/shall/required,必须/将/要求必须满足的基本要求和需求
must not/shall not,必不/将不必须满足的约束和禁止的要求
should/recommended,应该/推荐非必须满足但可能存在的需求,对网络的功能和性能是有益的
should not/recommended not,不应该/不推荐非必须满足但存在的需求,不值得实现或可能无法实现
may/optional,可以/可选可以满足但不是必需的需求,可选
"} {"image_path": "images/8ceff9018ef9fbfe0699cb29ebbb1919.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
交战回合人物赌赛项目结果
第一次虎力大仙求雨虎力大仙降雨不成;悟空请来$ \\underline{\\text{龙王}} $,$ \\underline{\\text{成功降雨,}} $。
"} {"image_path": "images/0a7d1de527ab128015a1c2fc2b68069c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)高勇军
建设项目名称补办
建设位置丁蜀镇中兴村196号
建设规模总建筑面积:159.2平方米;其中计容面积159.2 平方米。
附图及附件名称
1.同意高勇军在丁蜀镇中兴村196号的住房补办建设工程规划许可证,两间两层,建筑面积159.2平米。
2.四至:东靠刘建英宅,南为过道,西为鲍云娇宅,北为过道。
3.该工程为补办手续,最终权证面积以房产部门实测面积为准。
4.本证不作为办理营业执照、产权登记的依据。
"} {"image_path": "images/7de558c52c330e016fbbb8bf2999a935.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标质控菌株及编号标准值特征性反应
生长率大肠埃希氏菌 ATCC25922PR≥0.9灰白色菌落
粪肠球菌 ATCC29212PR≥0.9灰白色菌落
乙型溶血性链球菌 ATCC21059PR≥0.9灰白色菌落
"} {"image_path": "images/d4720bb5d9bae8e5941ab1c64af11c76.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
体积16
"} {"image_path": "images/448220a07964b894db5c367376b5c161.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建设单位(个人)新世代淮中商业发展(上海)有限公司
建设项目名称香港新世界文化商都(地上部分)
建设位置黄浦区淮海中路街道东至淮海公园,南至太仓路,西至嵩山路,北至规划绿地
建设规模地上总建筑面积7280.9平方米(计容积率建筑面积 68683.2平方米,其中3处历史建筑计容总建筑面积为3377.1 平方米;不计容积率建筑面积4119.7平方米)
附图及附件名称
附件及附图名称:
1.《关于核发香港新世界文化商都(地上部分)<建设工程规划许可证>的决定》 (编号:沪规划资源黄许建〔2022〕3号)一份。
2.《建筑工程项目表》一份。
3.建筑工程总平面图一份。
4.建筑工程建筑施工图一套。
"} {"image_path": "images/4d7478c446b81fb7be5c814d7d445f28.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
"} {"image_path": "images/7fae25880d87a81cad2dba18ff594fc5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号
得分
"} {"image_path": "images/972211efe7275d6929637483626c8576.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
信息类别溯源方式至少应包含数据项可扩展数据项
全供应链溯源生产商溯源贸易商溯源
产品信息原辅材料/零部件信息必备可选可选材料名称、供应方名称、地址、联系方式质量指标、生产日期/包装日期、保质期/有效期
生产信息必备必备可选生产/加工企业名称、所属国家/地区、生产时间地址、联系方式、生产许可
产品特征信息必备必备必备品牌、型号规格、保质期/有效期认证证书、原产地证明、检验检测报告
产品编码信息必备必备必备商品条码批次号
交易信息市场采购信息必备必备可选采购合同号交易清单
平台销售信息必备必备必备电子订单号、发货单号、支付单号、平台联系方式发票号、配送单号
物流信息运输信息必备必备必备承运人、运输方式、运输起始地点、托运人、运单号、运输目的地
仓储信息必备必备必备仓库名称、仓库地址、仓储方式、入库时间、出库时间仓储过程温度、湿度
配送信息必备必备必备物流企业名称、物流单号配送人、接收人、配送单号、接收地点、配送工具
通关信息 通关信息必备必备必备报关单号、启运口岸、到货口岸、申报日期、放行日期完税信息
"} {"image_path": "images/5c1deb31972a4a5086091a9f140b9f11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间事件
黄昏(1)
(2)姑娘打电话询问我的车牌号确定车的位置
半夜(3)
(4)姑娘安排工作人员先为我清雪
"} {"image_path": "images/b47842c91b70db7202a61c890fc47765.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A) dreams
B) eyesight
C) dancing
D) hearing
E) wondered
F) sympathy
G) desire
H) fortune
I) recognized
J) hopes
K) tutoring
L) deejaying
M) musical
N) DJ
O) deaf
"} {"image_path": "images/e3e97d5095c4c62585639af5d3498c07.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目取样数量取样方法试验方法
1疲劳性能5个不同根(盘)钢筋切取见GB/T 28900
2连接性能参照JGJ18、JGJ107
3高温(600℃)拉伸2个不同根(盘)钢筋切取见GB/T 228.2
"} {"image_path": "images/1a7ff76cbadbf4af71713aa80d135840.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年龄
(岁)
$ KJ/(m^{2}\\cdot h) $$ Kcal/(m^{2}\\cdot h) $$ KJ/(m^{2}\\cdot h) $$ Kcal/(m^{2}\\cdot h) $
1221.853.0221.853.0
3214.651.3214.251.2
5206.349.3202.548.4
7197.747.3200.045.4
9189.945.2179.142.8
11179.943.0175.742.0
13177.042.3168.640.3
15174.941.8158.837.9
17170.740.8151.936.3
19164.039.2148535.5
20161.538.6147.735.3
25156.937.5147.335.2
"} {"image_path": "images/7311ad0d35188faad3ca194ecb916a00.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
心血管危险分层低密度脂蛋白胆固醇目标值(LDL-C)常见人群(下述条件满足其一)
低危人群<3.4mmol/L健康人群
中、高危人群<2.6mmol/L①低密度脂蛋白胆固醇≥4.9mmol/L②糖尿病③慢性肾病3-4期
极高危人群<1.8mmol/L且降幅>50%①冠心病(含支架/球囊/搭桥手术等)②缺血性脑卒中③症状性颅内、外动脉狭窄④颈动脉或下肢动脉手术⑤糖尿病+高危因素*
超高危人群<1.4mmol/L且降幅>50%①≥2次心梗或缺血性脑卒中②冠心病+缺血性脑卒中/外周血管病变③冠心病+≥2个高危因素*④缺血性脑卒中+≥2个高危因素*⑤外周血管病变+≥2个高危因素*
*高危因素:①糖尿病 ②高血压 ③既往动脉支架/球囊/搭桥手术史④吸烟⑤早发冠心病(男<55岁,女<65岁)⑥慢性肾病3- 4期:估算肾小球滤过率:15-59ml/min·1.73平方米⑦基线低密度脂蛋白胆固醇≥4.9mmol/L⑧低密度脂蛋白胆固醇≤1.8mmol/L并再次发生心梗/脑梗
请您仔细阅读:
1、低密度脂蛋白胆固醇心脑血管疾病致病性因素,是形成“斑块”的关键成分,请您一定要重视。
2、低密度脂蛋白胆固醇目标值因人而异,需结合危险因素和疾病特点进行个性化管理,进而有效降低心血管疾病风险。在达标的基础上,低密度脂蛋白胆固醇降得低一些为好,请遵医嘱定期随访,降脂药物通常需长期使用或遵医嘱,请勿擅自停药。
"} {"image_path": "images/dcfe950e97da349faf3545b1f5219dd6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
事实解释
A切洋葱时可闻到刺激性气味分子之间有一定的间隔
B金刚石坚硬而石墨很软碳原子的排列方式不同
C水是由氢元素和氧元素组成的水分解生成氢气和氧气
D黄铜片比铜片硬合金的硬度一般比纯金属的硬度小
"} {"image_path": "images/8701c796f4fac72607a5aab9a69f4383.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检测项目仪器名称及型号仪器编号备注
废水pH便携式pH计PHBJ-260WZTC-XC-129仪器在计量检定有效期内使用
悬浮物万分之一天平ATY124WZTC-SN-24
氨氮可见分光光度计T6新悦WZTC-SN-03
化学需氧量滴定管50mlWZTC-SN-DDG-50-03
五日生化需氧量溶解氧测定仪JPSJ-605FWZTC-SN-07
动植物油红外分光测油仪OIL460WZTC-SN-30
总磷可见分光光度计T6新悦WZTC-SN-03
色度比色管
"} {"image_path": "images/7f9461d8fcd03c48bd549d0d22a52ed6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目取样数量,个取样方法试验方法
1$ 化学成分^{a} $ (熔炼分析)1GB/T 20066见第2章中列出的GB/T 223相关部分、 GB/T 4336、GB/T 20123、
GB/T 20124、GB/T 20125
2室温拉$ 伸^{b} $2不同根(盘)钢筋切取见GB/T 28900和8.2
3弯曲2不同根(盘)钢筋切取见GB/T 28900和8.2
4反向弯曲1任1根(盘)钢筋切取见GB/T 28900和8.2
5尺寸逐根(盘)见8.3
6表面逐根(盘)目视
7重量偏差见8.4
$ ^{a}对 $于化学成分的试验方法优先采用GB/T 4336,对化学分析结果有争议时,仲裁试验应按第2章中规定的 GB/T 223相关部分进行。
$ ^{b}高 $温拉伸通常只做型式检验。但当需方要求,并经供需双方协商,可按常规检验项目进行检验。
"} {"image_path": "images/c2d269fcdd09662b209302a6b8a003d8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品中有害物质的名称及含量
部件名称有害物质备注

(Pb)

(Hg)

(Cd)
六价铬
(Cr(VI))
多溴联苯
(PBB)
多溴二苯醚
(PBDE)
塑料部件
金属部件×
电源线、内部配线×仅部分机型含有该部件
电气回路组件×仅部分机型含有该部件
玻璃、陶瓷×仅部分机型含有该部件
本表格依据SJ/T 11364的规定编制。
◯:表示该有害物质在该部件所有均质材料中的含量均在GB/T 26572规定的限量要求以下。
×:表示该有害物质至少在该部件的某一均质材料中的含量超出GB/T 26572规定的限量要求。
"} {"image_path": "images/2a7362cdfd369acd86c9dd7d9158ccb7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测试项目编号DDB_410
测试目的确保 PCD 在接收到一个确认链接 1 块的 R(ACK)响应传输错误时能正确处理
测试条件在 DDX001 中描述的轮询过程中,收到由 PUT 发送的一个 WUPB 命令后,测试即开始。LT 采用 Type B 的帧格式和 106kb/s 的比特率
测试流程a) 运行表 319 中的测试场景:
1) 当发生一次传输错误,LT 测量发生传输错误序列开始到 PUT 处理传输错误发送的序列开始之间的延迟;
2) 当发生连续两次传输错误,LT 测量发生第二次传输错误序列开始到 PUT 处理传输错误发送的序列开始之间的延迟;
3) 当发生连续三次传输错误,LT 测量发生第三次传输错误序列开始到 PUT 发起 PICC 复位开始间的延迟(即当 PUT 停止发送载波);
4) 以下传输错误由 LT 产生:I 块(至少 4 字节的帧中)CRC 错误:第一个 CRC 字节的最低有效。
b) 第 1、4、7 位缺损产生错误,第二个 CRC 字节的最低有效位第 2、5、8 位缺损产生错误,第二个 CRC 字节的最高有效位第 3、6、9 位缺损产生错误。
c) 在这项测试中,应使用以下协议信息:如表 318 所示
"} {"image_path": "images/12b5eacb615e849c479ee4fbe9d03e16.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
全月应纳税所得额(每月工资减去5000元后的余额)税率
不超过3000元的部分3%
超过3000元至12000元的部分10%
超过12000元至25000元的部分20%
············
"} {"image_path": "images/06087cf4da02c624ce436c55c01879de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
燃烧器管顶部与试样下表面之间的距离/mm热通量/($ kW/m^{2} $)
气体流量=105$ cm^{3} $/min气体流量=160$ cm^{3} $/min
95.039.7553.21
90.041.1454.79
85.041.8355.58
80.043.2358.66
75.044.6260.44
70.046.7263.32
65.048.8166.19
60.050.9069.19
55.052.9973.42
50.056.4878.18
45.060.6783.93
冷却水温度为40℃。
每次热通量测量持续5min。
"} {"image_path": "images/b4726ed5f7fff39e9204d19ea737d863.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2016年《蒙特利尔协定书》第 5 次修订-《基加利修正案》将氢氟碳化物 (HFCs) 纳入《蒙特利尔议定书》管控范围,为发达国家和发展中国家分别制定了 HFCs 削减时间表,建立HCFs进出口许可证管理制度,2033 年起禁止缔约方和非缔约方进行 HFCs 贸易,每年报送生产和进出口数据。2019 年生效,中国 2021 年加入协定
"} {"image_path": "images/1ae9b1851be156d3da5c9b8e7d71a787.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称臂式电子血压计注册证或备案凭证编码20182200105
生产企业名称湖南诺盾医疗器械有限公司
召回单位负责人和联系方式,经办人和联系方式单位负责人:张益 联系电话:13397606868
经办人:张益 联系电话:13397606868
产品的适用范围测量成人舒张压、收缩压、脉搏,其数值供诊断参考。
涉及地区和国家湖北省召回级别三级
涉及产品生产(或进口中国)批次,数量批号J20181001YY6K0587 共499台涉及产品型号、规格ND-B02
识别信息(如批号)J20181001YY6K0587涉及产品在中国的销售数量499台
召回原因简述臂式电子血压计的标识要求不符合YY0670-2008中4.2的要求(无4.2.3要求的相关信息)
纠正行动简述(包括召回要求和处理方式等)一、成立产品召回领导小组;
二、由业务部负责产品召回信息的发布,主要以电话、传真、电子邮件等形式,通知到产品的经销商;
1、对召回产品设专库存放。
2、经质量评价必须销毁的,在药品监督管理部门监督下销毁。
3、经质量评价可以销售的,在药品监督管理部门批准后继续销售。
4、由于此次不合格为产品说明书标识遗漏,产品本身性能等皆为合格,所以此次产品不会对人体健康造成危害,故将该批次产品召回补贴标签。
5、根据此次不合格事件,对公司进行全面自查,同时需要整改的进行全面的整改。
"} {"image_path": "images/6128aa2d5985950eb418136e79ee545f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
建议单位(个人)上海市浦东新区人民医院
建设项目名称浦东新区人民医院门急诊医技综合楼改扩建工程
建设位置浦东新区川沙新镇 川环南路490号
建设规模总建筑面积60212.47平方米(其中地下建筑面积22410.0平方米),计容建筑面积37589.47平方米;
附图及附件名称
附件及附图名称:
1.《关于核发浦东新区人民医院门急诊医技综合楼改扩建工程<建设工程规划许可证>的决定》(编号:沪浦规划资源许建川〔2021〕13号)一份。
2.《建筑工程项目表》一份。
3.建筑工程总平面图一份。
4.建筑工程建筑施工图一套。
"} {"image_path": "images/fa05c76528ccc1692f08eb0353c3dafe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分评卷人
"} {"image_path": "images/94dd53a331c0d04b0d745e42fe4005d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目结果参考值单位项目结果参考值单位
总胆红素(干化学)6.25.0~21.0μmol/LCK-MB同工酶(干化学)128↑1~30u/L
结合胆红素(干化学)3.70~5.0umol/L乳酸脱氢酶(干化学)1548↑120~246u/L
非结合胆红素(干化学)2.50~19.0umol/L葡萄糖(干化学)6.39↑4.10~5.90mmol/L
总蛋白(干化学)73.363.0~82.0g/L钾(干化学)3.623.50~5.10mmol/L
白蛋白(干化学)43.535.0~50.0g/L钠(干化学)140.4136.0~146.0mmol/L
球蛋白(干化学)29.820.0~35.0g/L氯(干化学)103.398.0~109.0mmol/L
白球比(干化学)1.461.20~2.50
丙氨酸氨基转移酶(干化学)114↑0~50u/L
天门冬氨酸氨基转移酶(干化学)65↑15~46u/L
γ-谷氨酰基转移酶(干化学)1915~73u/L
碱性磷酸酶(干化学)162↑38~126u/L
尿素(干化学)3.63.2~7.1mmol/L
肌酐(干化学)7158~110μmol/L
肌酸激酶(干化学)24000↑30~135u/L
"} {"image_path": "images/cda3f0cbd42456f4171c916576378513.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
参数名称参数值
系统参数
输出电压11.1VDC(9~12.6VDC)
输出电流1.9A
空载功耗<50uA
太阳能板
类型单晶硅
功率60Wp
效率0.19
电池
类型三元锂
标称容量(20°C,5hr)20AH
低温放电性能≥70%标称容量(-20°C,5hr)
常温放电性能≥99%标称容量(25°C,5hr)
高温放电性能≥90%标称容量(55°C,5hr)
充电上限电压12.6VDC
充电电流5A
循环次数500次
防护
过放保护电压9VDC
低温禁充保护0℃
低温禁放保护-20℃
防护等级IP66
其他保护过温保护、过充保护、过载保护、短路保护
接口
电源输出口$ \\Phi5.5mm\\times\\Phi2.1mm\\times12mm $
结构
主体材料光伏板边框:铝合金电池仓:PC+ASA 支架:Q235
安装方式柱状(直径80mm~114mm立杆)
可调角度不支持
产品尺寸$ 580mm\\times480mm\\times190mm $
包装盒尺寸$ 630mm\\times530mm\\times95mm $
包装方式1包1
净重7.3kg
毛重8kg
环境
工作海拔≤3000米
适用区域标准日照时间大于3.5h的地区
工作温度充电:-20℃~50℃(0℃开启加热) 放电:-20℃~55℃
工作湿度10%~90%RH
储存温度-35℃~65℃(小于3个月)-10℃~25℃(小于12个月)
储存湿度65±20%RH
防腐蚀等级C2
"} {"image_path": "images/d2e4e29193d948af1f8d7044b9a9e531.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料类别锻件铸件板材
26Ni-43Fe-22Cr-5Mo$ ASTM\\ B620\\ Gr.N08320^{a} $
47Ni-22Cr-20Fe-7Mo$ ASTM\\ B582\\ Gr.N06985^{a} $
46Fe-24Ni-21Cr-6Mo-Cu-N$ ASTM\\ B462\\ Gr.N08367^{a} $$ ASTM\\ A351\\ Gr.CN3MN^{a} $$ ASTM\\ B688\\ Gr.N08367^{a} $
温度/℃公称压力 Class
15030060090015002500
最大允许工作压力/MPa
-29~381.784.639.2713.9023.1738.61
501.754.569.1113.6722.7837.97
1001.634.258.5112.7621.2735.45
1501.544.018.0312.0420.0733.46
2001.383.737.4611.2018.6631.10
2501.213.496.9810.4717.4529.08
3001.023.316.629.9316.5527.59
3250.933.236.469.7016.1626.93
3500.843.166.329.4815.8126.34
3750.743.106.209.3015.5125.85
4000.653.046.089.1315.2125.35
4250.552.985.978.9514.9124.85
$ ^{a} $ 只用固溶退火材料。
"} {"image_path": "images/9ce2e41b0264d7d3a2b221f5ee37e0f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类型压缩强度
kPa
岩棉条$ \\ge40 $
岩棉板厚度<50mm$ \\ge20 $
厚度$ \\ge50 $mm$ \\ge40 $
"} {"image_path": "images/aab9707e2395008640be720b901b3e9b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检测项目测试方法检测结果单项判定
1#
1甲醛的含量(mg/kg)GB/T 19941 - 2005n.d.合格
2异味*QB/T 2880 - 20071级(无异味)合格
3可分解致癌芳香胺染料
(mg/kg)
---
3.14 - 氨基联苯
CAS No.92 - 67 - 1
GB/T 19942 - 2005n.d.合格
3.2联苯胺
CAS No.: 92 - 87 - 5
GB/T 19942 - 2005n.d.合格
3.34 - 氯邻甲苯胺
CAS No.: 95 - 69 - 2
GB/T 19942 - 2005n.d.合格
3.4 2 - 萘胺
CAS No.: 91 - 59 - 8
GB/T 19942 - 2005n.d.合格
3.5邻氨基偶氮甲苯
CAS No.: 97 - 56 - 3
GB/T 19942 - 2005n.d.合格
3.65 - 硝基 - 邻甲苯胺
CAS No.: 99 - 55 - 8
GB/T 19942 - 2005n.d.合格
3.7对氯苯胺
CAS No.: 106 - 47 - 8
GB/T 19942 - 2005n.d.合格
3.82, 4 - 二氨基苯甲醚
CAS No.: 615 - 05 - 4
GB/T 19942 - 2005n.d.合格
3.94,4'-二氨基二苯甲烷
CAS No.: 101 - 77 - 9
GB/T 19942 - 2005n.d.合格
3.103,3'-二氯联苯胺
CAS No.: 91 - 94 - 1
GB/T 19942 - 2005n.d.合格
3.113,3'-二甲氧基联苯胺
CAS No.: 119 - 90 - 4
GB/T 19942 - 2005n.d.合格
3.123,3'-二甲基联苯胺
CAS No.: 119 - 93 - 7
GB/T 19942 - 2005n.d.合格
3.133,3'-二甲基 - 4,4'-二氨基二苯甲烷
CAS No.: 838 - 88 - 0
GB/T 19942 - 2005n.d.合格
3.142 - 甲氧基 - 5 - 甲基苯胺
CAS No.: 120 - 71 - 8
GB/T 19942 - 2005n.d.合格
3.154,4'-亚甲基 - 二 - (2 - 氯苯胺)
CAS No.: 101 - 14 - 4
GB/T 19942 - 2005n.d.合格
"} {"image_path": "images/e09f049bec9a142fadc2dcd8834b42e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
剪切强度标准值$ F_{vk} $(横向)
kPa
剪切模量(横向)
MPa
$ \\ge20 $$ \\ge1.0 $
"} {"image_path": "images/abc855e8ce10ffbcce1c29a5f9b1c6d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号名称CAS号控制建议适用消费品范围
25氯仿(三氯甲烷)67-66-3氯仿的含量<0.1%表面清洗剂、纺织品清洗剂产品
261,1,2-三氯乙烷79-00-51,1,2-三氯乙烷的含量<0.1%
271,1,2,2-四氯乙烷79-34-51,1,2,2-四氯乙烷的含量<0.1%
281,1,1,2-四氯乙烷630-20-61,1,1,2-四氯乙烷的含量<0.1%
29五氯乙烷76-01-7五氯乙烷的含量<0.1%
301,1-二氯乙烯75-35-41,1-二氯乙烯的含量<0.1%
31多溴联苯59536-65-1等禁用与皮肤直接接触类的纺织品
多溴联苯的含量≤1 000 mg/kg电子电器产品
32二乙二醇单甲醚111-77-3二乙二醇单甲醚的含量<0.1%a) 染料;
b) 除漆剂;
c) 清洁剂;
d) 光亮漆;
e) 地板密封剂
33二乙二醇丁醚112-34-5二乙二醇丁醚的含量<3%a) 喷漆;
b) 喷雾式清洁剂
34邻磷酸三甲酚酯78-30-8邻磷酸三甲酚酯的含量<50 mg/kg材质为纺织品的专为3岁以下儿童设计的玩具及可拆卸玩具部件
邻磷酸三甲酚酯的迁移量<0.03 mg/La) 材质为聚合物的质量不超过150 g,适用于3岁以下儿童拿在手上的玩具以及可能触及的玩具部件;
b) 材质为聚合物的3岁以下儿童专用的含于口中的玩具;
c) 材质为聚合物的口动玩具的吹口;
d) 材质为聚合物的绘图用具的部件;
e) 材质为聚合物的类似食物的玩具及部件;
f) 材质为聚合物的玩具珠宝
35磷酸三(2-氯乙基)酯115-96-8磷酸三(2-氯乙基)酯的含量<50 mg/kg材质为纺织品的专为3岁以下儿童设计的玩具及可拆卸玩具部件
"} {"image_path": "images/c3313c14e969c24444a46bd98a2acfd1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称缓冲液注册证或备案凭证编码苏苏械备 20160782 号
生产企业名称赛默飞世尔(苏州)仪器有限公司
代理人名称/
召回单位负责人和联系方式,经办人和联系方式史国平 0512 - 67374588
周静 18662520101
产品的适用范围仅用于提供/维持反应环境。
涉及地区和国家中国召回级别三级
涉及产品生产(或进口中国)批次、数量8 批,54768 盒涉及产品型号、规格货号:07981210014
规格:$ 2\\times2 L $
识别信息
(如批号)
批号:90116112,90116113,90117031,90117032,90117041,90117042,90117043,90117044涉及产品在中国的销售数量41496 盒
召回原因简述上述批次产品标签上生产备案信息打印错误,显示“生产备案号:苏苏药监械生产备 20152014 号”,信息存在文字性错误,实际应为“生产备案号:苏苏食药监械生产备 20152014 号”。该信息错误不影响到产品的安全性及有效性,不影响客户使用。虽无产品使用问题,但不符合法规要求,因此发起召回。
纠正行动简述(包括召回要求和处理方式等)1. 对未发货的产品进行隔离并适当返工,经确认消除错误后可重新放行用于销售。
2. 对已出库产品,鉴于尚未投放市场,仅通知总经销商进行隔离并纠正标签错误,经确认消除错误后方可发放至下级经销商及用户。
3. 产品尚未投放市场,暂时不涉及客户告知。
"} {"image_path": "images/c39ebf409b3f97e197039f2ae807b1c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目单 位限 量
铅(以Pb计)mg/kg≤0.1
镉(以Cd计)mg/kg≤0.05
"} {"image_path": "images/97c93d3e8d7c76ad1356a5a47cd7a343.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称电位治疗仪注册证或备案凭证编码鄂食药监械(准)字2013第2261840号
生产企业名称湖北益健堂科技股份有限公司
代理人名称/
召回单位负责人和联系方式,经办人和联系方式陈娟 18627864738
产品的适用范围适用于头痛、失眠、骨关节疼痛、慢性便秘、神经衰弱的辅助治疗
涉及地区和国家中国召回级别三级召回
涉及产品生产(或进口中国)批次、数量1批2台涉及产品型号、规格HP-J01
识别信息
(如批号)
HNC20170401涉及产品在中国的销售数量0
召回原因简述在国家医疗器械抽检中发现,产品的输入功率不符合产品标准的要求。
纠正行动简述(包括召回要求和处理方式等)1. 该批次共生产了两台产品,其中一台提交药监局进行国抽,另一台一直用于三类电位治疗仪注册研究、外部摸底测试等,我司承诺该台产品将不会用于销售,会持续用于内部研究之用。
2. 已将该型号产品送到有资质检验中心进行验证,产品的输入功率已符合标准要求。
3. 在质量管理体系方面,加强物料的来料检验,加强供应商的管控。
"} {"image_path": "images/c9c62387de55455b332529ad46363148.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测试项目编号DDB_107_x
测试目的确保 PCD 忽略在 ATQB 协议信息域字节 2 中协议类型的 bit4 - bit2 值,并总是使用$ FDT_{PCD,MIN} $为最小 TR2
测试条件在 DDX001 中描述的轮询过程中,收到由 PUT 发送的一个 WUPB 命令后,测试即开始。LT 采用 B 类型帧格式,比特率为 106kb/s
测试流程a) 运行表 223 中的场景。直到测试结束指令,当 LT 发送的一个 Type B 序列后跟随着 PUT 发送的一个 Type B 序列时,LT 测量从 LT 发送序列结束到 PUT 发送序列开始间的延时。非接 PICC 序列的结束意为“PICC 发送的 EoS 的开始”;
b) 在这个测试中,应使用以下的协议信息(PI),如表 230 所示
测试结果PUT 按表 223 场景的描述发送命令、块和处理(PUT 接受并应答 ATQB 并且使用正确的帧延时时间继续交易)。协议安装和块协议期间,从 LT 发送的 Type B 序列结束到 PUT 应答的 Type B 序列开始之间的延时至少为$ FDT_{PCD,MIN} $
"} {"image_path": "images/24c0378f07be9a8becc9434eae14fefd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
主要国家和地区国内头程国际干线运输
(空运➞船运)
尾程配送
(欧洲达成合作)
物流履约成本合计
美国11.433.505.93
欧洲11.143.155.29
东南亚11.003.505.50
"} {"image_path": "images/f849243bec086fd20f6113e3ce747eac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
代号项目名称结果单位参考范围
1WBC白细胞7.44$ 10^{9}/L $3.5—9.5
2#NEUT中性粒细胞计数5.05$ 10^{9}/L $1.8—6.3
3#LYMPH淋巴细胞计数1.77$ 10^{9}/L $1.1—3.2
4#MONO单核细胞计数0.49$ 10^{9}/L $0.1—0.6
5#EOS嗜酸性粒细胞计数0.11$ 10^{9}/L $0.02—0.52
6#BASO嗜碱性粒细胞计数0.02$ 10^{9}/L $0—0.06
7%NEUT中性粒细胞百分比68.0%40—75
8%LYMPH淋巴细胞百分比23.7%20—50
9%MONO单核细胞百分比6.6%3—10
10%EOS嗜酸性粒细胞百分比1.4%0.4—8
11%BASO嗜碱性粒细胞百分比0.3%0.0—1.0
12RBC红细胞5.17$ 10^{12}/L $4.3—5.8
13HGB血红蛋白112 ↓g/L130—175
14HCT红细胞压积36.90 ↓%40—50
15MCV红细胞平均体积71.4 ↓fL82—100
16MCH平均血红蛋白量21.7 ↓pg27—34
17MCHC平均血红蛋白浓度304 ↓g/L316—354
18RDW-CV红细胞分布宽度CV15.5%11—16
19RDW-SD红细胞分布宽度SD38.2fL35—56
20PLT血小板228$ 10^{9}/L $125—350
21MPV平均血小板体积8.0fL6.5—12
22PDW血小板分布宽度15.5%15—17
23PCT血小板压积0.1830.108—0.282
24P-LCR大型血小板比率15.911—45
25P-LCC大血小板数目36$ 10^{9}/L $30—90
"} {"image_path": "images/8a06a93c4eaa3a5224b187e5d951a9bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检测项目测试方法检测结果单项判定
1#
3.164,4'-二氨基二苯醚
CAS No.:101-80-4
GB/T 19942-2005n.d.合格
3.174,4'-二氨基二苯硫醚
CAS No.:139-65-1
GB/T 19942-2005n.d.合格
3.18邻甲苯胺
CAS No.:95-53-4
GB/T 19942-2005n.d.合格
3.192,4-二氨基甲苯
CAS No.:95-80-7
GB/T 19942-2005n.d.合格
3.202,4,5-三甲基苯胺
CAS No.:137-17-7
GB/T 19942-2005n.d.合格
3.21邻氨基苯甲醚
CAS No.:90-04-0
GB/T 19942-2005n.d.合格
3.222,4-二甲基苯胺
CAS No.:95-68-1
GB/T 19942-2005n.d.合格
3.232,6-二甲基苯胺
CAS No.:87-62-7
GB/T 19942-2005n.d.合格
"} {"image_path": "images/310dc4371744436acde2c7918298f6c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称热敷贴注册证或备案凭证编码皖械注准 20192090181
生产企业名称安徽金泰医疗器械有限公司
代理人名称/
召回单位负责人和联系方式,经办人和联系方式负责人:丁明彩 18655868000,经办人:丁中文 18505585908
产品的适用范围适用于肩周炎、腰肌劳损等因血液不畅引起的各部位疼痛、肿胀及产妇暖宫驱寒。
涉及地区和国家山西太原召回级别三级
涉及产品生产(或进口 中国)批次、数量批次: 20210901
数量: 4000 袋
涉及产品型号、规格10cm$ \\ast $12cm$ \\ast $1 贴
识别信息(如批号)20210901涉及产品在中国的销售数量4000 袋
召回原因简述产品发热超过40℃的持续时间少于8小时,不符合产品技术要求。
纠正行动简述(包括召回要求和处理方式等)1、立即停止和使用该产品、将召回通知转发到相关经营企业或者使用单位等;
2、登记封存,并向药品监督管理部门报告,等待处理结果
"} {"image_path": "images/71a81336108a5bd10837bb638168f6da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目单位后备公猪(Replacement Boar)成年公猪(Breeding Boar)
饲粮消化$ \\text{能}^{a} $(DE)MJ/kg(kcal/kg)12.97(3 100)12.97(3 100)
饲粮代谢$ \\text{能}^{a} $(ME)MJ/kg(kcal/kg)12.45(2 975)12.45(2 975)
饲粮净$ \\text{能}^{a} $(NE)MJ/kg(kcal/kg)9.46(2 260)9.46(2 260)
粗蛋白质(CP)%14.014.0
赖氨酸代谢能比(LyS/ME)g/MJ(g/Mcal)0.47(1.98)0.38(1.58)
钙和磷(Calcium and Phosphorus)
总钙(Total Ca)%0.550.55
总磷(Total P)%0.440.44
有效磷(Available P)%0.200.20
氨基酸(Amino Acids)
标准回肠可消化基础(SID AAs Basis)
赖氨酸(Lys)%0.510.41
蛋氨酸(Met)%0.140.11
蛋氨酸+半胱氨酸(Met+Cys)%0.290.24
苏氨酸(Thr)%0.340.28
色氨酸(Trp)%0.090.07
异亮氨酸(Ile)%0.280.23
亮氨酸(Leu)%0.480.39
缬氨酸(Val)%0.340.28
精氨酸(Arg)%0.180.14
组氨酸(His)%0.150.12
苯丙氨酸(Phe)%0.290.24
苯丙氨酸+酪氨酸(Phe+Tyr)%0.470.38
"} {"image_path": "images/f53f79b4f841ae2c20d212dd95cc06d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
环境条件水溶性氯离子最大含量/%
(水泥用量的质量分数)
钢筋混凝土预应力混凝土
干燥环境0.300.06
潮湿但不含氯离子的环境0.20
潮湿且含有氯离子的环境、盐渍土环境0.10
除冰盐等侵蚀性物质的腐蚀环境0.06
注:当掺合料采用粉煤灰、矿渣粉或硅灰时,其掺量可折算为水泥用量。
"} {"image_path": "images/18b6cb4d6a2a3a0f81eb55e4f79c4f18.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
粗骨料最大公称粒径/mm混凝土最小含气量/%
潮湿或水位变动的寒冷和严寒环境受除冰盐作用、盐冻环境、海水冻融环境
40.04.55.0
"} {"image_path": "images/bf13f47d7852198d0c43483da5faa29d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
步 骤交 互注 释
5PUT◀不同‘x’定义下的 ATQB:a) 对于x 等于0:ATQB 等于‘50’ + ‘89 00 00 AF’ + ‘FF FF FF FF’ + PI;b) 对于x 等于1:ATQB 等于‘50’ + ‘89 00 00 AF’ + ‘A5 A5 A5 A5’ + PI;c) 对于x 等于2:ATQB 等于‘50’ + ‘89 00 00 AF’ + ‘3C 3C 3C 3C’ + PI;d) 对于x 等于3:ATQB 等于‘50’ + ‘89 00 00 AF’ + ‘E1 5E F3 11’ + PI◀LT不同‘x’定义下的 ATQB
6PUT▶‘1D’ + ‘89 00 00 AF’ + ‘00 08 01 00’▶LTATTRIB
7PUT◀‘00’◀LTATTRIB 应答
8PUT▶$ I(0)_{0} $[‘00 A4 04 00 0E’ + ‘2PAY.SYS.DDF01’ + ‘00’ ]▶LT选择 PPSE
9PUT◀$ I(0)_{0} $[‘EOT 指令’ + ‘90 00’ ]◀LT测试结束指令
10PUT∥PUT 执行 PICC 复位(即停止发送载波)∥LTPICC 复位
11PUT◀‘05 00 08’◀LTWUPB 轮询 PICC
12PUT▶‘05 00 08’▶LTWUPB 轮询 PICC
13PUT◀‘05 00 08’◀LTWUPB 轮询 PICC
"} {"image_path": "images/f91d8486870f37eaa813bf76aeb3f4ea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检测参数标准要求单位检测结果单项判定
1初期干燥抗裂性两个试件表面应无裂纹/无裂纹合格
2粘结强度≥0.70MPa0.79合格
3涂层耐温变性10次循环,3个试件至少2个涂层无粉化、开裂、剥落、起鼓,与标准板相比,允许颜色轻微变化/无粉化、开裂、剥落、起鼓,与标准板相比,允许颜色轻微变化合格
4耐冲击性1个试件的3个位置无裂纹、剥落级变形/无裂纹、剥落级变形合格
5耐水性96h,3个试件中至少2个涂层无起鼓,开裂,剥落,与浸泡部分相比,允许颜色轻微变化/无起鼓,开裂,剥落,与浸泡部分相比,允许颜色轻微变化合格
6耐沾污性≤21合格
7耐碱性96h,3个试件中至少2个涂层无起鼓,开裂,剥落,与浸泡部分相比,允许颜色轻微变化/无起鼓,开裂,剥落,与浸泡部分相比,允许颜色轻微变化合格
8施工性喷涂无困难/喷涂无困难合格
9干燥时间≤4h3.0合格
以下空白
"} {"image_path": "images/0c82d7f929be3a211e0666c971a41a37.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "<
集中式/全额上网分布式上网电价分布式光伏补贴
Ⅰ类资源区Ⅱ类资源区Ⅲ类资源区户用工商业
2013年9月起0.90.9510.420.42
2016年0.80.880.980.420.42
2017年0.650.750.850.420.42
2018年1月-5月0.550.650.750.370.37
2018年6月起0.50.60.70.320.32
2019年7月起0.40.450.550.180.1
2020年6月起0.350.40.490.080.05
2021年起0.03
"} {"image_path": "images/4f628823770e0551bbdc71905d573944.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检测日期检测项目单位技术要求检测结果单项判定
2023.05.16~2023.05.19总大肠菌群MPN/100mL不得检出未检出(<2)符合
菌落总数CFU/mL≤1008符合
氯化物mg/L≤25029.2符合
mg/L≤0.01未检出(<0.001)符合
mg/L≤0.001未检出(<0.0001)符合
mg/L≤0.005未检出(<0.0005)符合
mg/L≤0.01未检出(<0.0025)符合
氟化物mg/L≤1.0未检出(<0.1)符合
高锰酸盐指数(以$ O_{2} $计)mg/L≤31.43符合
铬(六价)mg/L≤0.05未检出(<0.004)符合
溶解性总固体mg/L≤1000364符合
总硬度(以$ CaCO_{3} $计)mg/L≤450228符合
pH无量纲6.5~8.57.46符合
肉眼可见物/无肉眼可见物符合
臭和味/无异臭、异味无臭和味符合
浑浊度(散射浑浊度单位)NTU≤1<0.5符合
色度(铂钴色度单位)≤15<5符合
硝酸盐(以N计)mg/L≤106.09符合
硫酸盐mg/L≤25044.2符合
亚氯酸盐mg/L≤0.7未检出(<0.0024)符合
氯酸盐mg/L≤0.7未检出(<0.005)符合
备注本报告依据GB 5749-2022《生活饮用水卫生标准》分析1种样品,检测项目21项(次)。
"} {"image_path": "images/22ccadfe8d8acaab37eaadab11eec071.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
安全技术要求基本级增强级
安全功能测试工业控制设备识别7.1.17.1.1
工业控制设备端口扫描7.1.27.1.2
工业控制设备通信协议漏洞检测7.1.3.1、7.1.3.27.1.3.1~7.1.3.4
工业控制组态软件漏洞检测7.1.47.1.4
工业控制设备操作系统检测7.1.57.1.5
工业控制数据库漏洞检测7.1.67.1.6
工业控制网络通信设备漏洞检测7.1.77.1.7
漏报测试7.1.87.1.8
误报测试7.1.97.1.9
检测结果处理7.1.107.1.10
管理控制功能7.1.117.1.11
自身安全测试用户管理与鉴别7.2.1.1~7.2.1.37.2.1.1~7.2.1.5
产品升级7.2.27.2.2
日志管理7.2.37.2.3
安全存储7.2.47.2.4
安全保障评估方法配置管理7.3.17.3.1
交付与运行7.3.27.3.2
开发7.3.37.3.3
指导性文档7.3.47.3.4
测试7.3.57.3.5
"} {"image_path": "images/545f0d92cddb3da177ab38e7b3122a8b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目指标
特等果优等果普通果
基本要求果面清洁,果实充分发育且果形端正,无异味,无人工施加水分,无机械伤,无病虫,具有适于市场或贮藏要求的成熟度。
色泽果色正常,果面基础色浅绿泛白,果面红晕≥25%
口感果实成熟,基本成熟时质地爽脆,口味清甜;果实充分成熟时质地柔软,有蜜味。
形态果形正常,近椭圆形,果顶似鹰嘴,离核果形正常,近椭圆形,果顶似鹰嘴,离核可有缺陷,但不得畸形
果面缺陷磨伤允许轻微磨伤一处,面积$ \\leqslant 0.5cm^{2} $允许轻微不褐变的磨伤,总面积$ \\leqslant 1cm^{2} $
雹伤允许轻微雹伤,总面积$ \\leqslant 0.5cm^{2} $
碰压伤
裂果允许风干裂口一处,长度≤0.5cm允许风干裂口两处,总长度≤1cm
虫伤允许轻微虫伤一处,面积$ \\leqslant 0.03cm^{2} $允许轻微虫伤,总面积$ \\leqslant0.3cm^{2} $
注:果面缺陷,特级果要求无,优等果要求未伤及果肉,无害于一般外观和贮藏质量的果皮损伤不超过3项;普通果允许下列对果肉无重大损害的果皮损伤不超过3项。
"} {"image_path": "images/4b55d20e947b48c9eb771a461b5ec61c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
募资总额规模分布201820192020202120222023
1亿美元以下273023381410
1亿-1.5亿美元207102320
1.5-2亿美元27152042
"} {"image_path": "images/d4db787d06a325c7e056e723bc2f2bc6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料类别锻 件铸 件板 材
16Cr-12Ni-2MoASTM A182 Gr.F316LASTM A240 Gr.316L
18Cr-13Ni-3MoASTM A182 Gr.F317L
18Cr-8NiASTM A182 Gr.F304$ L^{a} $ASTM A240 Gr.304$ L^{a} $
温度/℃公称压力 Class
1503006009001 5002 500
最大允许工作压力/MPa
-29~381.594.148.2712.4120.6834.47
501.534.008.0012.0120.0133.35
1001.333.486.9610.4417.3928.99
1501.203.146.289.4215.7026.16
2001.122.925.838.7514.5824.30
2501.052.755.498.2413.7322.89
3001.002.615.217.8213.0321.72
3250.932.555.107.6412.7421.23
3500.842.515.017.5212.5420.89
3750.742.484.957.4312.3820.63
4000.652.434.867.2912.1520.25
4250.552.394.777.1611.9319.88
4500.462.344.687.0211.7119.51
$ ^{a} $不得用于 425℃以上。
"} {"image_path": "images/4b79c047e4d1ff2c09f75cd2e597e09d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别危险性分类及说明临界量
( t )
气体易燃气体:危险性属于 2.1 项的气体10
氧化性气体:危险性属于 2.2 项非易燃无毒气体且次要危险性为 5 类的气体200
有毒气体:危险性属于 2.3 项,除急性毒性为类别 1 以外的其他毒性气体50
易燃液体极易燃液体:沸点≤35℃且闪点<0℃的液体;或保存温度一直在其沸点以上的易燃液体10
高度易燃液体:闪点<23℃的液体(不包括极易燃液体);液态退敏爆炸品1000
易燃液体:23℃≤闪点<61℃的液体5000
易燃固体危险性属于 4.1 项且包装为 Ⅰ 类的物质200
易于自燃的物质危险性属于 4.2 项且包装为 Ⅰ 或 Ⅱ 类的物质200
遇水放出易燃气体的物质危险性属于 4.3 项且包装为 Ⅰ 或 Ⅱ 的物质200
氧化性物质危险性属于 5.1 项且包装为 Ⅰ 类的物质50
危险性属于 5.1 项且包装为 Ⅱ 或 Ⅲ 类的物质200
有机过氧化物危险性属于 5.2 项的物质50
注:以上危险化学品危险性类别及包装类别的确定见 GB 12268,急性毒性类别见 GB 20592。
"} {"image_path": "images/8c56c0ecf6fbda01bd526cb6df90b88a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料类别锻件铸件板材
C-½MoASTM A204 $ Gr.C^{a} $
温度/℃公称压力 Class
15030060090015002 500
最大允许工作压力/MPa
-29~382.005.1710.3415.5125.8643.09
501.955.1710.3415.5125.8643.09
1001.775.1510.0315.4625.7642.94
1501.585.0310.0315.0625.0841.82
2001.384.869.7214.5824.3440.54
2501.214.639.2713.9023.1838.62
3001.024.298.5712.8621.4435.71
3250.934.148.2612.4020.6634.43
3500.844.038.0412.0720.1133.53
3750.743.897.7611.6519.4132.32
4000.653.657.3310.9818.3130.49
4250.553.527.0010.5117.5129.16
4500.463.376.7710.1416.9028.18
4750.373.176.349.5115.8226.39
5000.282.364.717.0711.7819.63
5380.141.132.273.405.679.46
5501.132.273.405.679.46
5751.012.013.025.038.38
6000.711.422.133.565.93
6250.531.061.592.654.42
6500.310.610.921.542.56
$ ^\\ast $ 当长期暴露在465℃以上温度时,钢中的碳化相可能转变为石墨。允许但不推荐长期在465℃以上使用。
"} {"image_path": "images/d15e40a8af52cfaa5f3f41a2ebeec3e7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称一次性使用医用口罩注册证或备案凭证编码赣 械 注 准 20202140136
生产企业南昌市赣达医疗器械有限公司
召回单位负责人和联系方式召回单位负责人:张桂华 联系方式:13387085343
产品的适用范围本产品适用于佩戴者在不存在体液和喷溅风险的普通医疗环境下的卫生护理。
涉及地区和国家江西、广西召回级别三级
涉及产品生产(或进口中国)批次、数量批号:20221120
数量:40100 个
涉及产品型号、规格耳挂式;A型无菌 175mm×175mm
识别信息
(如批号)
批号:20221120涉及产品在中国的销售数量8000 个
召回原因简述我公司(南昌市赣达医疗器械有限公司)生产的医用外科口罩(耳挂式 170mm×170mm)在江苏医疗器械检验所通气阻力检验结果不符合要求。
纠正行动简述(包括召回要求和处理方式等)1、通知购买该批次的用户停止销售和使用并召回;
2、将召回后的该批次产品进行销毁处理;
3、查找不合格原因,进行风险评估。
"} {"image_path": "images/6f62ca78f3b65bb0e5c3753bf5c379bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检测项目单位检测结果检出限标准要求结论检测方法
1外观/均匀液体,无异物/均匀液体,无异味。符合Q/SHYA 004-2021
2气味/无异味,符合企业规定香型/无异味,符合企业规定香型。符合Q/SHYA 004-2021
3耐寒稳定性/于-8℃的冰箱中放置24h,取出恢复至室温时观察,产品外观无异常现象/于(-5~-10℃)的冰箱中放置24h,取出恢复至室温时观察,产品外观无异常现象。符合Q/SHYA 004-2021
4耐热稳定性/于40℃的恒温培养箱中放置24h,取出恢复至室温时观察,产品外观无异常现象/于(40±1℃)的恒温培养箱中放置24h,取出恢复至室温时观察,产品外观无异常现象。符合Q/SHYA 004-2021
5mg/kg<0.030.03≤10符合化妆品安全技术规范(2015年版)第四章 1.6
6mg/kg<0.0010.001≤1符合化妆品安全技术规范(2015年版)第四章 1.6
7mg/kg<0.0033定量限:0.0033≤2符合化妆品安全技术规范(2015年版)第四章 1.6
8菌落总数CFU/g<10/≤500符合化妆品安全技术规范(2015年版)第五章 2
9耐热大肠菌群/g未检出/不得检出符合化妆品安全技术规范(2015年版)第五章 3
"} {"image_path": "images/e75f8c0d48895bd9da39dcf1054c7fe7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验/检测项目检测依据单位技术要求检测结果检出限单项判定
1三唑磷GB
23200.113-2018
mg/kg/未检出$ 0.01^{b} $/
2三唑酮GB
23200.113-2018
mg/kg≤0.5未检出$ 0.01^{b} $合格
3三唑醇GB
23200.113-2018
mg/kg/未检出$ 0.01^{b} $/
4丙溴磷GB
23200.113-2018
mg/kg/未检出$ 0.01^{b} $/
5丙环唑GB
23200.113-2018
mg/kg/未检出$ 0.01^{b} $/
6乐果GB/T
20769-2008
mg/kg≤1未检出0.00190合格
7二嗪磷GB/T
20769-2008
mg/kg/未检出0.00018/
8二甲戊灵GB
23200.113-2018
mg/kg/未检出$ 0.01^{b} $/
9倍硫磷GB
23200.113-2018
mg/kg≤0.05未检出$ 0.01^{b} $合格
10克百威GB/T
20769-2008
mg/kg≤0.02未检出0.00327合格
11吡唑醚菌酯GB
23200.113-2018
mg/kg/未检出$ 0.01^{b} $/
12吡虫啉GB/T
20769-2008
mg/kg/0.05560.00550/
"} {"image_path": "images/12be3cac60615354c259ccf0bbf1bf43.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项目技术指标
1稠度/mm符合设计要求
2表观密度kg/$ m^{3} $符合设计要求
3抗压强度/MPa28d≥35
4抗折强度/MPa28d≥6.0
5粘结强度(8字模)/MPa28d≥1.5
6轴向抗拉强度/MPa28d≥4.0
7极限拉伸值/$ 1 \\times 10^{-6} $28d≥250
8抗冻性28d≥F50
9抗渗性28d≥W6
10抗碳化性能(28d快速碳化深度)/mm防护年限30年28d≤30
防护年限50年28d≤20
防护年限100年28d≤10
11耐酸性28d浸泡30d无开裂、剥落、粉化现象
"} {"image_path": "images/449b39b3288072705bc0b7e4cadc331c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
使用单位名称
设备名称设备类别
使用登记证编号产品编号
故障发生地点
发生故障时间被困游客数量
故障排除时间报告相关部门时间
发生故障原因


故障排除措施


预防故障措施


维护保养人员签字(如有)日期
安全管理人员签字日期
运营使用单位负责人签字日期
备注


"} {"image_path": "images/75973d79722798d5f23ff2ed31480423.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称空心纤维透析器注册证或备案凭证编码国械注准20153100879
生产企业名称旭化成医疗器械(杭州)有限公司
代理人名称——
召回单位负责人和联系方式,经办人及联系方式负责人:卢立铁郎,0571 - 86737228 - 6004
经办人:孙琳,0571 - 86737228 - 6300
产品的适用范围本产品配合血液透析装置供急慢性肾功能衰竭患者进行血液透析
涉及地区和国家中国召回级别三级
涉及产品生产(或进口中国)批次、数量9K1Z1B,456根涉及产品型号、规格空心纤维透析器
REXEED - 15UC
识别信息
(如批号)
9K1Z1B涉及产品在中国的销售数量456根
召回原因简述该批产品尚未获得最终的放行许可,其中456根误发送给代理商。
纠正行动简述(包括召回要求和处理方式等)联络代理商返回该456根产品
"} {"image_path": "images/7e29e20aa629dfec7307c3b0ba058466.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称生活饮用水样品编号YS-20230406-0458
项目编号检测项目检测方法计量单位检出限检测结果标准限值单项判别
9菌落总数《生活饮用水标准检验方法微生物指标》
GB/T5750. 12-2006 1. 1
平皿计数法
CFU/mL/<1100符合
10总大肠菌群《生活饮用水标准检验方法微生物指标》
GB/T5750. 12-2006 2. 3
酶底物法
MPN/100mL/未检出不应检出符合
11大肠埃希氏菌《生活饮用水标准检验方法微生物指标》
GB/T5750. 12-2006 4. 3
酶底物法
MPN/100mL/未检出不应检出符合
12《生活饮用水标准检验方法金属指标》
GB/T5750. 6-2006 6. 1
氢化物原子荧光法
$ \\mu g/L $1.0<1.010符合
13《生活饮用水标准检验方法金属指标》
GB/T5750. 6-2006 7. 1
氢化物原子荧光法
$ \\mu g/L $0.41.310符合
14《生活饮用水标准检验方法金属指标》
GB/T5750. 6-2006 8. 1
原子荧光法
$ \\mu g/L $0.1<0.11.0符合
15总$ \\alpha $放射性《生活饮用水标准检验方法放射性指标》
GB/T5750. 13-2006 1. 1
低本底总$ \\alpha $检测法
Bq/L0.0160.0690.5(指导值)符合
16总$ \\beta $放射性《生活饮用水标准检验方法放射性指标》
GB/T5750. 13-2006 2. 1
薄样法
Bq/L0.0280.0931(指导值)符合
17色度《生活饮用水标准检验方法感官性状和物理指标》
GB/T5750. 4-2006 1. 1
铂-钴标准比色法
铂-钴色度单位5<515符合
"} {"image_path": "images/bdedb9c30cd142ee29b9ac0984c37e49.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目名称宁陕县生态功能区地表水检测
检测目的了解地表水环境质量状况
项目地址安康市宁陕县
联系人胡代偲联系电话13324641858
样品来源自采包装情况塑料瓶、玻璃瓶包装完好,无破损
采样人员盛洋洋、吴明沛采样日期2019年8月4日
样品数量2份,共19250mL收样日期2019年8月4日
样品状态无色、无味、透明分析日期2019年8月4日-9日
采样技术规范《地表水和污水监测技术规范》(HJ/T 91-2002)
评价标准《地表水环境质量标准》(GB 3838-2002)表1中Ⅱ类标准
检测分析方法及来源
项目检测分析方法及来源检出限检测分析仪器及编号
水温温度计测定法
(GB/T13195-1991)
//
pH 值便携式pH计法
《水和废水检测分析方法》
(第四版增补版)
0.01pH便携式pH计 PHBJ-260F
(HK-0308030)
电导率便携式电导率仪法
《水和废水监测分析方法》
(第四版增补版)
/便携式电导率仪 DDBJ-350
(HK-0308028)
溶解氧便携式溶解氧仪法
《水和废水监测分析方法》
(第四版增补版)
/便携式溶解氧测定仪 JPBJ-608
(HK-0308015)
高锰酸盐指数水质 高锰酸盐指数的测定
(GB/T 11892-1989)
0.5mg/L/
化学需氧量重铬酸盐法
(HJ 828-2017)
4mg/LCOD 恒温加热器 JR-9012
(HK-0309014)
五日生化
需氧量
稀释与接种法
(HJ 505-2009)
0.5mg/L溶解氧仪 JPSJ-605F(HK-0301004)
生化培养箱 SHP-150(HK-0306003)
氨氮纳氏试剂分光光度法
(HJ 535-2009)
0.025mg/L723 可见分光光度计
(HK-0303002)
总磷钼酸铵分光光度法
(GB/T 11893-1989)
0.01mg/L723 可见分光光度计
(HK-0303001)
总氮碱性过硫酸钾消解紫外分光光度法
(HJ 636-2012)
0.05mg/L紫外分光光度计
(HK-0303003)
"} {"image_path": "images/aae3fc421814184e63fb7d34b865f07c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产负债表(百万 元)2022A2023A2024E2025E2026E
货币资金2,8603,2563,3943,3853,448
交易性金融资产111101111122134
应收帐款及票据1,5571,7491,7141,7281,792
存货4,5293,4663,4453,4533,511
其他流动资产3,1911,8521,8641,9171,966
流动资产合计12,24810,42410,52810,60610,851
长期投资7761534742
固定资产3840464950
在建工程00234
无形资产及商誉6463626059
其他非流动资产2,0241,8691,7581,7631,720
非流动资产合计2,2032,0331,9211,9251,925
总资产14,45112,45712,44812,52912,776
短期借款5,2813,3432,8432,4432,143
应付帐款及票据635783720735756
一年内到期的非流动负债30353555555
其他流动负债1,8921,8331,9531,9962,069
流动负债合计8,1126,0125,5715,2295,023
长期借款00000
应付债券00000
租赁负债2940424446
其他非流动负债1515161616
非流动负债合计4455586062
总负债8,1566,0675,6295,2895,085
实收资本(或股本)1,2391,2391,2391,2391,239
其他归母股东权益4,6854,7255,0635,3825,714
归属母公司股东权益5,9245,9646,3036,6216,953
少数股东权益371426517619738
股东权益合计6,2956,3906,8207,2407,691
总负债及总权益14,45112,45712,44812,52912,776
"} {"image_path": "images/a25cb7b0e4c26a8897199acf6c37c626.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓名张丽淘气乐乐朵朵小华
成绩25.423.523.127.930.2
"} {"image_path": "images/589b9fec4e4a2904412d7292ab075741.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
系统名称
变更请求类型▢本级要求变更 ▢上级要求变更
▢需求增加 ▢需求修改 ▢需求缩减
▢其它:请说明:___
变更申请人申请日期
实施人员测试人员
原建设内容描述
变更内容描述
变更的目的及影响
系统使用单位意见签字(签章):
系统运维单位意见签字(签章):
备注
"} {"image_path": "images/fd851882996304d32246167fd8b2bf87.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
四川九洲52%0.10281%0.11
海立股份31%0.01101%0.26
长虹华意53%0.2071%0.20
秀强股份42%0.1099%0.40
顺威股份0%0.0079%0.33
天银机电0%0.0066%0.50
奇精机械45%0.15103%0.45
佛山照明59%0.10101%0.81
"} {"image_path": "images/1bf99c19f799dad28840b86142ab25f0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目检验水平 (IL)接受质量限 (AQL)
外观裂纹、破气泡、装饰1.0
口不平行度、杯底不平、波浪口、杯体歪斜2.5
条纹、模印、碰伤、擦伤、杯底爪痕、气泡、杂粒、滴头4.0
规格尺寸杯口厚度、杯口不圆度、口部厚薄差、杯梃直径4.0
杯梃直径偏差、满口容量偏差、杯高偏差、杯口外径偏差、杯底直径偏差
理化性能抗热震性S-21.5
杯身内应力
"} {"image_path": "images/e3fb876b5e97119d6f0281aacc344007.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称医用外科口罩注册证或备案凭证编码粤械注准 20172641484
生产企业名称佛山市康复医疗设备厂
代理人名称/
召回单位负责人和联系方式,经办人和联系方式杨君 15916019139
产品的适用范围适用于医务人员或相关人员的基本防护,以及在有创操作过程中阻 止血液、体液和飞溅物传播的防护。
涉及地区和国家中国召回级别三级召回
涉及产品生产(或进口 中国)批次、数量14060个涉及产品型号、规格医用外科口罩 挂耳式 (18±1)cmX(9.5±0.5)cm
识别信息
(如批号)
20030602涉及产品在中国的销售数量14000个
召回原因简述经广州医疗器械质量监督检验中心抽查该批次产品细菌过滤效率不符合标准要求
纠正行动简述(包括召回要求和处理方式等)1、将客户现有库存及销售出去的该批号,全部召回换货。
2、购买医用外科口罩检测设备:颗粒过滤效率测试仪、合成血液穿透测试仪、阻燃测试仪、气体交换压力差测试仪
"} {"image_path": "images/d04e440cfb5185cf8a7511a224d80902.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号名称单位分辨率最小范围最小准确度记录基准时间
1纵向 delta-Vkm/h1-100~ +100全部范围的±10%
2最大记录纵向 delta-Vkm/h1-100~ +100全部范围的±10%(相对时间零点)最小为0ms到300ms区间内的数据点
3达到最大记录纵向 delta-V 时间ms2.50ms~300ms 或
0ms到碰撞事件终点+30ms,较短者
±5时间零点
4削波标志ms与应用的传感器的分辨率一致,XX大于应用的传感器的记录时间,XX应用的传感器分辨率的2倍,XX时间零点
5车辆速度km/h10~250±1
6行车制动,开启或关闭不适用开启或关闭不适用不适用
7驾驶员安全带状态不适用系、未系不适用不适用相对时间零点
(-1.1s~0s)
8加速踏板位置,全开位置的百分比%10~100±5
9每分钟转数r/min1000~10 000±100
10事件中上电周期周期10~60 000±1相对时间零点
(-1.1s~0s)
11读取时上电周期周期10~60 000±1读取时的时间点
12事件数据记录完整状态不适用是/否不适用不适用记录终点
13本次事件距离上次事件的时间间隔s0.10~5.0±0.1时间零点
14车辆识别代号不适用不适用不适用不适用读取时的时间点
15记录 EDR 数据的 ECU 硬件编号不适用不适用不适用不适用读取时的时间点
16记录 EDR 数据的 ECU 序列号不适用不适用不适用不适用读取时的时间点
"} {"image_path": "images/973f1f0df536a74ef9e9bf690a6aa7a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称血液透析浓缩液注册证或备案凭证编码国械注准20173100103
生产企业名称南京海波医疗器械有限公司
代理人名称/
召回单位负责人和联系方式,经办人和联系方式单位负责人:龙贤,联系方式:13916949378
经办人:蒋乐园,联系方式:18175866456
产品的适用范围制备血液透析液的专用原料,用于肾功能衰竭的血液透析治疗。
涉及地区和国家中国召回级别三级
涉及产品生产(或进口中国)批次、数量A液:1172桶
B液:1224桶
涉及产品型号、规格HB-Y-Ⅱ型
A液10L,B液12.5L
识别信息
(如批号)
A液:23022401
B液:23030301
涉及产品在中国的销售数量A液:1160桶
B液:1212桶
召回原因简述透析浓缩液存在细菌内毒素含量超标的缺陷,可能造成的危害较小,但仍需召回。召回类别为三级。
纠正行动简述(包括召回要求和处理方式等)1.公司做出找回的决定。
2.公司拟定召回计划,范围覆盖所有相关批次产品经销和使用单位,计划对召回产品进行报废处理。
3.向经销商、使用单位发布召回通知,要求立即停止使用并召回。
"} {"image_path": "images/4dd65a7dfed444f2181973d0709b4cf1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2021A2022A2023A2024E2025E2026E
营业收入248.57268.91197.96362.33486.86592.79
yoy47.40%8.18%-26.38%83.03%34.37%21.76%
毛利率36.17%36.23%41.00%40.57%40.22%40.68%
半导体业务
营业收入142.77162.950.95153.91228.34306.49
营收占比57.44%60.58%25.74%42.48%46.90%51.70%
yoy177.01%14.10%-68.72%202.09%48.36%34.22%
毛利率35.10%32.48%27.63%35.82%35.78%37.45%
挤出成型业务
营业收入103.00103.35141.64200.412250.515278.30
营收占比41.44%38.43%71.55%55.31%51.46%46.95%
yoy-10.24%0.34%37.05%41.49%25.00%11.09%
毛利率37.77%42.00%45.40%44.46%44.46%44.41%
其他主营业务
营业收入0.920.961.583.003.003.00
yoy-30.83%4.35%64.58%89.87%0.00%0.00%
毛利率32.76%25.26%49.75%30.00%30.00%30.00%
其他业务
营业收入1.881.73.79555
yoy84.31%-9.57%122.94%31.93%0.00%0.00%
毛利率30.78%51.02%52.90%50.00%50.00%50.00%
"} {"image_path": "images/6d3b58974eb4656ea4c9b1fb94d8ec45.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
全球人口 (亿人)7980808181828283838484
机器人渗透率 (台/万)0.0712.54.581216.522283545
机器人销量 (万台)68020036365198213581821233229303785
1. 深沟球轴承
深沟球轴承市场空间 (亿元)03815263850668299125
单价 (元/个)3030302928272726252424
单台机器人使用数量 (个)1414141414141414141414
2. 角接触轴承
角接触轴承市场空间 (亿元)19223969100135175218265332
单价 (元/个)4040403938373534333231
单台机器人使用数量 (个)2828282828282828282828
3. 四点接触轴承
四点接触轴承市场空间 (亿元)0261017253444546683
单价 (元/个)2020201919181817171616
单台机器人使用数量 (个)1414141414141414141414
4. 交叉滚子轴承
交叉滚子轴承市场空间 (亿元)111284986125168219272331415
单价 (元/个)1001001009794918986838178
单台机器人使用数量 (个)1414141414141414141414
5. 柔性轴承
柔性轴承市场空间 (亿元)1716295075101133167205260
单价 (元/个)6059585655545352515049
单台机器人使用数量 (个)1414141414141414141414
合计
机器人轴承市场合计 (亿元)232811422483634886367929681215
"} {"image_path": "images/dc6913f2221912a50193e1ca25cf9e82.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目名称结果参考区间
腺病毒抗原检测阳性阴性(-)
"} {"image_path": "images/32f1fd685a94404f61410213ae8845f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称(Sample Name): 巴蜀玉叶
检测项目
Items of test
单位
Measurement
检测结果
Results of analysis
检测方法
Method for test
单项结论
Conclusion of item
水分(Moisture)%5.0GB/T 8304-2002-
水浸出物(Water extract)%47.7GB/T 8305-2002-
茶多酚(Polyphenol)%16.2GB/T 8313-2008-
儿茶素总量(Catechin)%13.4GB/T 8313-2008-
没食子酸(Gallic Acid)%0.70GB/T 8313-2008-
表没食子儿茶素(EGC)%1.07GB/T 8313-2008-
儿茶素(D、L-C)%2.83GB/T 8313-2008-
表没食子基儿茶素没食子酸酯(EGCG)%7.02GB/T 8313-2008-
表儿茶素(EC)%0.47GB/T 8313-2008-
表儿茶素没食子酸酯(ECG)%1.36GB/T 8313-2008-
游离氨基酸(Amino acid)%7.6GB/T 8314-2002-
总黄酮(Flavonoids)%0.6FB/LH 006-2010-
咖啡碱(Caffeine)%3.82GB/T 8312-2002-
水溶性碳水化合物
(Water-soluble carbohydrate)
%3.2FB/LH 007-2010-
维生素C(ascorbic acid)%0.22GB/T 5009.159-2003-
锌(Zn)mg/kg58.6GB/T 5009.14-2003-
硒(Se)mg/kg未检出GB/T 5009.93-2010-
-----
-----
-----
备注
Notes
-
"} {"image_path": "images/b8d81a5668cf4307216251071b050729.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
小宾小芳小军小花
(44)kg(34)kg(45)kg(33)kg
"} {"image_path": "images/aba9beaedc235933567661c33027f236.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号123456789101112
答案
"} {"image_path": "images/3780bc8017071c0490ea3b86230d54a1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
装置标准
电缆和电线PVC电线的绝缘GB/T 5023(所有部分)
导体的尺寸和区域GB/T 3956
橡胶电缆的绝缘GB/T 5013
标识GB/T 4026
端子圆电线的端子排GB/T 14048.7
圆电线的保护性端子排GB/T 14048.8
标识GB/T 4026
继电器有或无继电器IEC 61810(所有部分)
有或无继电器的电压额定值和动作范围GB/T 21711.1
继电器触头的性能IEC 61810-2
接触器和电动机起动器合分闸电路用的机电式接触器GB/T 14048.4
短路保护用的组合有继电器的机电式接触器GB/T 14048.2
电动机起动器(交流)GB/T 14048.4
交流半导体电动机控制器GB/T 14048.6
电动机保护性过载继电器GB/T 14048.4
低压开关电动机回路和配电回路用的低压开关GB/T 14048.3
手动控制开关和按钮GB/T 14048.5
指示开关:压力、温度等开关GB/T 14048.5
家用湿度传感控制器GB/T 14536.15
家用开关GB/T 16915.1
家用温度计GB/T 14536.10
连杆开关GB/T 9536
手动开关的图形符号GB/T 5465.2
手动开关灯的颜色要求GB/T 4025
低压断路器和带有剩余电流保护的低压断路器要求GB/T 14048.2
"} {"image_path": "images/c7a82a25782fd1fdb1662cae08eb6184.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一、单项选择题(本大题共6小题,每小题3分,共18分)
1~6 CBCDAD
二、填空题(本大题共6小题,每小题3分,共18分)
7. (a+2)(a-2) 8. $ 1.42 \\times 10^{10} $ 9. 135° 10. $ \\frac{300}{x}=6\\times \\frac{300}{x+0.5} $ 11. $ 16+4\\sqrt{10} $ 12. (13,$ \\frac{13}{5} $)或(13,$ \\frac{13\\sqrt{3}}{3} $)或(2,10)
三~六、解答题见“详解详析”P57~P59
"} {"image_path": "images/b586be896e87b9291dc94b58807161ad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1恒成立问题的转化①f(x)>0恒成立$ \\Leftrightarrow f(x)_{\\min}>0 $;f(x)<0恒成立$ \\Leftrightarrow f(x)_{\\max}<0 $.
②f(x)>a恒成立$ \\Leftrightarrow f(x)_{\\min}>a $;f(x)③f(x)>g(x)恒成立$ \\Leftrightarrow [f(x) - g(x)]_{\\min}>0 $;
f(x)④$ \\forall x_{1}\\in M,\\forall x_{2}\\in N,f(x_{1})>g(x_{2}) $(M,N分别为函数f(x),g(x)的定义域)$ \\Leftrightarrow f(x_{1})_{\\min}>g(x_{2})_{\\max} $.
⑤$ \\forall x_{1}\\in M,\\exists x_{2}\\in N,f(x_{1})>g(x_{2}) $(M,N分别为函数f(x),g(x)的定义域),可转化为$ f(x_{1})_{\\min}>g(x_{2})_{\\min} $.
2有解问题的转化①f(x)>0有解$ \\Leftrightarrow f(x)_{\\max}>0 $;f(x)<0有解$ \\Leftrightarrow f(x)_{\\min}<0 $.
②f(x)>a有解$ \\Leftrightarrow f(x)_{\\max}>a $;f(x)③f(x)>g(x)有解$ \\Leftrightarrow [f(x) - g(x)]_{\\max}>0 $;
f(x)④$ \\exists x_{1}\\in M,\\exists x_{2}\\in N,f(x_{1})>g(x_{2}) $(M,N分别为函数f(x),g(x)的定义域)$ \\Leftrightarrow f(x_{1})_{\\max}>g(x_{2})_{\\min} $.
⑤f(x)=g(x)有解或f(x)-g(x)=0有解$ \\Leftrightarrow $ f(x)和g(x)的图象有交点.
"} {"image_path": "images/c38bebbb8fd3ae8333373d9cf2063c8f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
黄瓜
(元)
茄子
(元)
土豆
(元)
合计
(元)
张妈妈13.211.512.3
李妈妈18.319.723.7
王妈妈9.711.820.7
总计(元)
"} {"image_path": "images/2723e69b9e65af2c74f5eb4fe1547753.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
12345678910111213141516
ADCBADDDABDBCBBC
"} {"image_path": "images/1f555bb182b480638c450f9ea76d6c02.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1 mol$ P_{4} $金刚石Si$ SiO_{2} $$ H_{2}O_{2} $$ CH_{4} $$ C_{n}H_{2n+2} $石墨
化学键/mol6224443n+11.5
"} {"image_path": "images/a310b98a3e712ee8020b5c295539f7bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
得分
"} {"image_path": "images/28bc7cad0d4324fa2c266bcade9e4c8e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
中心天体天体质量/kg天体半径/km环绕轨道
月球$ 7.3\\times 10^{22} $$ 1.7\\times 10^{3} $“嫦娥”四号月球圆形轨道距月表100km
火星$ 6.4\\times 10^{23} $$ 3.4\\times 10^{3} $“天问”一号火星椭圆轨道近火点距火星表面265km
地球$ 6.0\\times 10^{24} $$ 6.4\\times 10^{3} $“天和”核心舱地球圆形轨道距地表400km
"} {"image_path": "images/5a1cdf2b6ddc455fb2ccbaf30f25e096.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
相同条件结论
公式语言叙述
T、p相同$ \\frac{n_{1}}{n_{2}}=\\frac{V_{1}}{V_{2}} $同温、同压下,气体的物质的量与其体积成正比
T、p相同$ \\frac{\\rho_{1}}{\\rho_{2}}=\\frac{M_{1}}{M_{2}} $同温、同压下,气体的密度与其相对分子质量(或是摩尔质量)成正比
T、V相同$ \\frac{p_{1}}{p_{2}}=\\frac{n_{1}}{n_{2}} $温度、体积相同的气体,压强与其物质的量成正比
T、p、V相同$ \\frac{M_{1}}{M_{2}}=\\frac{m_{1}}{m_{2}} $同温、同压下,体积相同的气体,其摩尔质量(或相对分子质量)与其质量成正比
"} {"image_path": "images/294ebd3447a1bc1f4ae79f2732fe36be.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
次数U/VI/AR/Ω
"} {"image_path": "images/35528d8fcfbd9f80b5eac18fa133f520.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
得分
"} {"image_path": "images/8aa30eea40d08a4a24e737b623c18afe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
来源相关成语典故
长平之战
淝水之战
"} {"image_path": "images/ea462df2bd299bcdd17e1d1780fdf9a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
【大题小做】拆解法
①根据杠杆平衡条件,求出B端绳子的拉力$ F_{B} $;
②对B进行受力分析,求出B的重力;
③根据已知条件,求出B的质量和体积,再求出B的密度.
【思路引导】
求解:B的密度$ \\rho_{B} $
$ \\downarrow\\rho_{B}=\\frac{m_{B}}{V_{B}} $
B的质量$ m_{B} $
$ \\downarrow m_{B}=\\frac{G_{B}}{g} $
B的重力$ G_{B} $
$ \\downarrow G_{B}=F_{\\text{支}}+F_{\\text{拉}} $
确定$ F_{\\text{拉}} $
"} {"image_path": "images/4466acf4b8a0a3c055949c1613c054b8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项目名称结果提示参考范围单位
1K4.013.5~5.6mmol/L
2Na136.90135~145mmol/L
3Cl100.3095~108mmol/L
4TCa总钙2.512.14~2.63mmol/L
5nCa游离钙1.301.1~1.35mmol/L
6ALT丙氨酸氨基110~40U/L
7AST天门冬氨酸氨基160~40U/L
8ALP碱性磷酸酶7215~150U/L
9GGTγ-谷氨酰基转移酶97~32U/L
10TBA总胆汁酸60~12umol/L
11TP总蛋白7060~80g/L
12ALB白蛋白4835~55g/L
13GLB球蛋白21.420.0~40.0
14A/G白球比2.31.2~2.5%
15TBIL总胆红素29.543.42~20.50umol/L
16DBIL直接胆红素4.330.00~6.84umol/L
17IBIL间接胆红素25.21.7~17.0umol/L
18PA前白蛋白191150~400mg/L
19CHE胆碱酯酶64834500~13000U/L
20TCH胆固醇5.250.00~5.17mmol/L
21TG甘油三酯1.00.0~2.3mmol/L
22HDL-C高密度脂蛋白胆固醇2.051.10~1.82mmol/L
23LDL-C低密度脂蛋白胆固醇2.850.00~3.10mmol/L
24APOA1载脂蛋白A11.301.00~2.00g/L
25APOB载脂蛋白B1.290.60~1.10g/L
26CRE-E肌酐(酶法)4535~80umol/L
27BUN尿素6.191.43~7.14mmol/L
28UA尿酸222170~420umol/L
29CO2二氧化碳3120~35mmol/L
30CYS-C胱氨酸蛋白酶抑制剂C0.500.00~1.16mg/L
"} {"image_path": "images/b52b9c0b939504aaa3f27c00c843edeb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
60.47
"} {"image_path": "images/9058ab5fd4849fff4e6fe1e5830ba342.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
评卷人得分
"} {"image_path": "images/c5487a4b5d9638478224a739b808f2d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
等级优秀良好合格不合格
人数201055
"} {"image_path": "images/775c69f65cf9f5d2bbd44575e501cdce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
得分
"} {"image_path": "images/597b5941b83fd80b41aca5ba421809d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
加入的物质
"} {"image_path": "images/b14eb001e34ec8c09effca3c4c95b5e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机械类型根据已知条件推导计算公式
竖直方向提升重物已知拉力F、绳子的有效段数n和提升重物的重力G(忽略绳重及摩擦),$ \\eta=\\frac{W_{\\text{有}}}{W_{\\text{总}}}\\times 100\\%=\\frac{Gh}{Fs}\\times 100\\%= \\frac{Gh}{Fnh}\\times 100\\%=\\frac{G}{nF}\\times 100\\% $
已知提升重物的重力G,动滑轮的重力$ G_{\\text {动}} $(忽略绳重及摩擦),重物上升过程中$ F=\\frac{1}{n}(G+G_{\\text {动}}) $,则 $ \\eta=\\frac{W_{\\text {有}}}{W_{\\text {总}}}\\times 100\\%=\\frac{Gh}{(G+G_{\\text {动}})h}\\times 100\\%= \\frac{G}{G+G_{\\text {动}}}\\times 100\\% $
"} {"image_path": "images/0334222d9a1aa13e4c695982c758ad9e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日期项目开支情况/元表示实际意义
12月6日-35.00用去35元
-18.00
食盐、味精用去4.5元
水费-6.00
卖废品+8.00
"} {"image_path": "images/ad37dba4d58088094c527842eba2e209.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PlaceUR(N=41)UC(N=41)UL(N=41)CG(N=41)
MeasuresMSD$ \\alpha $MSD$ \\alpha $MSD$ \\alpha $MSD$ \\alpha $
Before the experiment(T1)
SVS4.181.030.884.011.000.854.100.840.804.041.050.84
ROS4.240.980.893.930.900.883.890.970.874.050.910.84
PANAS POS4.060.780.883.780.970.943.881.010.913.760.920.91
PANAS NEG2.370.890.932.290.960.932.201.100.962.160.900.93
After viewing (T2)
SVS4.741.050.834.420.930.734.351.030.813.950.930.60
ROS5.391.190.934.851.110.915.031.060.903.581.240.91
After walking (T3)
SVS4.620.970.784.631.000.774.441.090.794.150.970.76
ROS5.061.290.954.851.200.935.021.200.933.651.130.90
PANAS POS4.641.020.924.531.030.914.591.040.913.740.940.89
PANAS NEG1.780.780.931.640.640.911.570.820.962.451.200.95
"} {"image_path": "images/af4ea04b435f13e0f824ad52e0c1b8d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PropertyValue
Viscosity at ambient temperature1200 cp
Solid content$ 78\\% $
Gel time at 80 °CMore than 4 h
Gel time at 100 °C2 h 57 min
Gel time at 120 °C41 min
Gel time at 140 °C18 min
"} {"image_path": "images/21ae54f5685b4a67c81bdcdd767b4f3d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Space types
Furniture name
Total number
Study
Desk
348

Chair
348

Bookshelf
348
Bedroom
Bed
348

Wardrobe
348

Bedside cabinet
348
$ \\chi^{2}(P) $
Most preferred color number (CCR)82 (23.6%)113 (32.4%)57 (16.4%)34 (9.8%)62 (17.8%)64 (18.3%)$ 64.359 (.00)^{\\ast\\ast\\ast} $
Second preferred color number (CCR)37 (10.6%)43 (12.4%)39 (11.2%)38 (10.9%)33 (9.5%)27 (7.8%)4.716 (.452)
Third preferred color number (CCR)29 (8.3%)26 (7.5%)34 (9.8%)27 (7.8%)27 (7.8%)24 (6.9%)2.298 (.807)
Category Mean CCR14.2%17.4%12.5%9.5%11.7%11%
Space Mean CCR14.7%10.7%
Mean CCR12.7%
"} {"image_path": "images/15b4d71c61871bf1e9997621fe6a0ff4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
实验操作现象结论
取样品加水溶解,加入过量稀盐酸至反应完全有气泡产生(碳酸钠和稀盐酸反应生成氯化钠、水和二氧化碳)样品中有 NaCl
向上述溶液中继续滴加适量$ AgNO_{3} $溶液有白色沉淀产生
"} {"image_path": "images/7980693ff8835cc3babd78ffc8e67a0d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号 11 12 13 14 15 16 17
答案 B B D C A D C
"} {"image_path": "images/51da2ead2ef30c2752a324d0f7262571.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
分数
"} {"image_path": "images/3d3ed179f3ccf95f6677649700654e0c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
质量 m66.8
长度L6.20
"} {"image_path": "images/68d790a72b063fbcab180fa57ba7025b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
得分
"} {"image_path": "images/2074dc96d2ed00d14fbc5446fa38d1c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A R T I C L E I N F OA B S T R A C T
Article history:
Received 13 July 2021
Received in revised form 9 May 2022
Accepted 17 May 2022
Available online 27 May 2022
Background: Findings from correlative neuroimaging studies link increased frontoparietal network (FPN) activation and default mode network (DMN) deactivation to enhanced high cognitive demand pro-cessing. To causally investigate FPN-DMN contributions to high cognitive demand processing, the current interleaved TMS-fMRI study simultaneously manipulated and indexed neural activity while tracking cognitive performance during high and low cognitive load conditions.
Methods:Twenty participants completed an n-back task consisting of four conditions (0-back, 0-backTMS, 2-back, 2-backTMS) while undergoing interleaved TMS-fMRI. During TMS concurrent with n-back blocks, TMS single pulses were delivered to the left DLPFC at 100% motor-threshold every 2.4s.
Results: TMS delivered during high cognitive load strengthened cognitive processing. FPN node activa-tions and DMN node deactivations were increased in the high versus low cognitive load TMS condition. Contrary to our hypothesis, TMS did not increase high load related activation in FPN nodes. However, as hypothesized, increased DMN node deactivations emerged as a function of TMS during high load (right angular gyrus) and from interactions between cognitive load and TMS (right middle temporal gyrus). Load and TMS combined to dampen activation within the DMN at trend level (p=.058). Deactivation in a dorsomedial DMN node was associated with TMS driven improvements in high load cognitive processing.
Conclusions: Exogenous perturbation of the DLPFC via single pulse TMS amplified DMN node de-activations and enhanced high cognitive demand processing. Neurobehavioral findings linking these effects hint at a promising, albeit preliminary, cognitive control substrate requiring replication in higher-powered studies that use control stimulation.
© 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
"} {"image_path": "images/a7e0fe26e78a4c20f9498b7e31510c4c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一、选择题(本大题共16个小题,共38分.1~6小题各3分,7~16小题各2分)
1~5 DBCBB 6~10 BACAA 11~15 BADCD 16C
二、填空题(本大题共3个小题,共10分.17小题2分,18~19小题各4分,每空2分)
17. 6 18. (1)12;(2)4 19. (1)150;(2)($ 40\\sqrt{3}-60 $)
三、解答题见“详解详析”P14~P19
"} {"image_path": "images/4e229a7f32bd12d9c347a4d7ed9c7e8f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(3)统一度量衡
军事奖励军功,对有军功者授予爵位并赏赐土地
"} {"image_path": "images/14b244dc163a2826ed69fa868ee71643.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
得分
"} {"image_path": "images/62ab4be2aae1e4578e2bd869db101f34.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
某一水域的表层海水
温度t(℃)61626
密度$ \\rho (kg/m^{3}) $1026.81025.51022.5
"} {"image_path": "images/7dec449d6e009ec3df9efc642f29ba93.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
量限分辨率基本误差极限
200mA0.1mA$ \\pm $(1.0%RD+2)
2A1mA
10A10mA
"} {"image_path": "images/1ae2eaced37136cb9910e145c580468c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Furniture nameRedGreenBlueYellowWhiteTotal$ \\chi^{2}(P) $
DeskFemale (%)27 (19.0%)13 (9.2%)19 (13.4%)57 (40.1%)26 (18.3%)1425.751 (.22)
Male (%)23 (13.6%)16 (9.5%)39 (23.1%)65 (38.5%)26 (15.4%)169
ChairFemale (%)34 (24.8%)4 (2.9%)20 (14.6%)50 (36.5%)29 (21.2%)137$ 16.384 (.00)^{\\ast\\ast\\ast} $
Male (%)21 (12.1%)17 (9.8%)39 (22.5%)69 (39.9%)27 (15.6%)173
BookshelfFemale (%)30 (21.0%)6 (4.2%)29 (20.3%)52 (36.4%)26 (18.2%)1437.427 (.12)
Male (%)23 (13.1%)17 (9.7%)32 (18.3%)75 (42.9%)28 (16.0%)175
BedFemale (%)62 (41.9%)15 (10.1%)27 (18.2%)21 (14.2%)23 (15.5%)148$ 27.001 (.00)^{\\ast\\ast\\ast} $
Male (%)30 (17.8%)20 (11.8%)64 (37.9%)24 (14.2%)31 (18.3%)169
WardrobeFemale (%)30 (20.8%)18 (12.5%)29 (20.1%)28 (19.4%)39 (27.1%)144$ 12.008 (.02)^{\\ast\\ast} $
Male (%)19 (11.4%)19 (11.4%)39 (23.4%)56 (33.5%)34 (20.4%)167
Bedside cabinetFemale (%)41 (29.5%)13 (9.4%)29 (20.9%)28 (20.1%)28 (20.1%)139$ 10.356 (.04)^{\\ast\\ast} $
Male (%)27 (16.4%)14 (8.5%)35 (21.2%)54 (32.7%)35 (21.2%)165
"} {"image_path": "images/f3d4c3ffef2c1e612938c29f023c7802.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
得分
"} {"image_path": "images/176fbfeeb1e5f96bc3dadb1c3e6a0f6d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题 号十一总 分
得 分
"} {"image_path": "images/399fe67d662e4882df9e8fcdacaa2229.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
开关、用电器开关和被控用电器串联、各用电器之间并联
螺口灯泡螺旋部分接零线,火线通过开关接到螺口灯泡的尾部
插座两孔插座:左孔接零线(N),右孔接火线(L)(左零右火)
三孔插座:左孔接零线(N),右孔接火线(L),上孔接地线(E)(左零右火上接地)
接线口诀:火线零线并排走,零线直接进灯座,火线接进保险盒,再过开关进灯座
"} {"image_path": "images/e6842dacab7205606c6a46b907aa3fc5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
XY
ZW
"} {"image_path": "images/4e9edd62dc9a080b86afd775ed1bda8c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x-3-2-101
y0-3-4-30
"} {"image_path": "images/4f4137b24a642d4596fbd8fae85ecc53.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号12345678910
答案CACBBCDDCCDC
"} {"image_path": "images/3405fcdef61324c97ff52f5d95fa44aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一、选择题(本大题共10小题,每小题4分,满分40分)
1~5 ACDBB 6~10 AABBC
二、填空题(本大题共4小题,每小题5分,满分20分)
11. $ 4.84 \\times 10^{8}\\quad 12. -1\\quad 13. \\pi \\quad 14. (1)180^{\\circ}-2\\alpha;(2)2 \\sqrt{2} $
三~八、解答题见“详解详析”P14~17
"} {"image_path": "images/4ec95eb3acdbabaad6e4ef45923593cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
现象有气泡冒出有白色沉淀无明显现象
"} {"image_path": "images/75b4eb7e4385c0b1a724d9a9224dbee5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
星期
接种人数
星期一星期二星期三星期四星期五星期六星期日
第一针接种人数2.03.54.06.56.011.09.0
第二针接种人数0.21.41.21.51.22.82.2
"} {"image_path": "images/e1260a098590c453fd96814a01e778d6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一、选择题(本大题共16个小题,共38分. 1~6小题各3分,7~16小题各2分)
1~5 CDBBC 6~10 AADCB 11~15 DBACB 16 A
二、填空题(本大题共3个小题,共10分. 17小题2分,18~19小题各4分,每空2分)
17. 3(答案不唯一,合理即可) 18. (1)$ 12+4\\sqrt{10} $;(2)$ \\frac{1}{2} $ 19.(1)6; (2)2
三、解答题见“详解详析”P65~P69
"} {"image_path": "images/8847c083ca3221f3c114bd63ab761248.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
平均数中位数众数优秀率
80807745%
"} {"image_path": "images/9c4b5d1045e95001c60f22ba249efe93.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
室温:25.0 ℃
时间/min020406080
甲瓶水温/℃61.056.653.550.948.5
乙瓶水温/℃61.055.652.349.045.7
"} {"image_path": "images/9c9e03a068d24be24478d1c3f23ddb38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品2021年2020年
数量(万台)功率(万kw)总动力占比平均功率(kw/台)数量(万台)功率(万kw)总动力占比平均功率(kw/台)
拖拉机及配套机械
拖拉机2173.143065.040.0%19.82204.8842124.3439.9%19.1
小型(22.1kw以下)1675.018526.117.2%11.11727.619042.918.0%11.0
中型(22.1 - 73.5kw)422.817196.016.0%40.7407.9316437.8815.6%40.3
大型(73.5kw以上)75.27343.06.8%97.669.356643.576.3%95.8
拖拉机配套农具4022.94024.08
种植业机械
耕整地机械
耕整机524.72461.52.3%4.7524.932476.332.3%4.7
微耕机842.64242.83.9%5.0796.674043.063.8%5.1
其他
水稻种植机械
水稻插秧机96.3575.80.5%6.095.33555.240.5%5.8
农业灌溉机械
农用水泵2299.82299.96
节水灌溉类机械
田间管理机械
田园管理机77.6311.00.3%4.071.16286.340.3%4.0
动植物保护机械644.21347.31.3%2.1628.271292.431.2%2.1
收获机械
谷物联合收割机223.813338.712.4%59.6219.5112714.7712.0%57.9
1)稻麦联合收割机162.78998.48.4%55.3160.668706.518.2%54.2
2)玉米联合收割机61.14340.34.0%71.158.854008.263.8%68.1
大豆收获机2.2189.80.2%86.62.24176.690.2%78.9
油菜籽收获机械2.4118.30.1%48.92.34111.470.1%47.6
马铃薯收获机10.027.20.0%2.79.3525.680.0%2.7
收货后处理机械
机动脱粒机1057.22488.72.3%2.41058.192456.982.3%2.3
干燥机械39.1322.50.3%8.234.99304.490.3%8.7
种子加工机械4.420.10.0%4.64.319.730.0%4.6
保鲜储藏设备16.8213.60.2%12.715.51189.110.2%12.2
农产品初加工机械3264.010400.79.7%3.23228.86
农产品初加工动力机械1674.49149.88.5%5.51656.879077.938.6%5.5
农产品初加工作业机械1589.71250.91.2%0.81571.99
畜牧养殖机械869.92809.62.6%3.28112612.212.5%3.2
农田基本建设机械56.03221.73.0%59.554.833067.912.9%56.0
"} {"image_path": "images/7c0d930fd4f57d3648b18dcfd1b8121c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号12345678910
答案CCDDADCBAD
"} {"image_path": "images/55ada61ac0c5da6a4c1c60ec7106749d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Education of ProfileAttractiveness of Profile
LowMediumHigh
UniversityT:L_UniT:M_UniT:H_Uni
High SchoolT:L_HST:M_HST:H_HS
"} {"image_path": "images/53780b5c2bd0b9470b2ee02b96011f59.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组别家庭数目父母性状子女性状
150单眼皮单眼皮单眼皮
250双眼皮单眼皮双眼皮、单眼皮
350双眼皮双眼皮双眼皮、单眼皮
"} {"image_path": "images/37f49a51d6d440547bd90c0d15f20a60.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
配方含量(每升)
酵母粉9.0g
无水葡萄糖50.0g
胰酪胨5.0g
蛋白胨5.0g
硫酸镁2.1g
磷酸钾2.0g
淀粉酶0.05g
硫胺素0.05g
溴甲酚绿26.0mg
最终pH 4.6$ \\pm $0.2
"} {"image_path": "images/7db2674a9e7536fb8559aad761d3081a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
环境参数
1.储存温度:-40°C—+70°C;
运行温度:-10°C—+50°C;
2.最大相对湿度:95%
电源
220VAC+10%~—15%50Hz,保险丝0.5A,EMI/RFI滤波器
称重传感器
仪表提供10VDC,200mA激励电源,可并联4个称重传感器
灵敏度,0.5mV/V—3.5mV/V
最大输入信号33mV
称重传感器屏蔽接地
电缆距离大于60米(不超过900米)时采用激励补偿
电路跳线选择本地或远程补偿
主板数字输入端口
仪表主板提供3个可编程输入端口,接收干触点开关信号。
主板数字输出端口
仪表主板提供3个可编程输出端口,24VDC集电极开路输出,
可直接驱动控制继电器。
通讯板
仪表可安装通讯板。可使用标准RS485-232、RS-485串行
一路过程控制模式:PID控制输出
接口与上位机通讯板采集仪表数据并对仪表进行操作,
具有双向通讯功能。
输出电流
可输出与流量成正比的0-20mA或4-20mA电流
"} {"image_path": "images/0fa2b63c67f2869cdb8099c8d42739c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
食品名称食材煎烤火力时间(分钟)
香煎五花肉五花肉约250g大火6-8
西北羊排羊排4个(共约320g)大火14-17
时蔬牛肉串牛肉约170g、彩椒约60g大火18-20
芦笋三文鱼三文鱼240g、芦笋70g大火6-8
纸包鱼鲈鱼1条(约300g)大火40-45
椒盐土豆片土豆约180g大火5-8
烤韭菜韭菜约200g大火6-8
烧烤金针菇金针菇约200g大火5-7
"} {"image_path": "images/2a8205bb030b3fadd4c9e3bc691b40f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工作电流范转 (A)连接导线截面 ($ mm^{2} $)
0<I≤81.0
8<I≤121.5
12<I≤202.5
20<I≤254.0
25<I≤326.0
32<I≤5010.0
50<I≤6516.0
65<I≤8525.0
85<I≤11535.0
115<I≤13050.0
"} {"image_path": "images/9cee0540a9453a3c4f89c19957152bb4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
记录1记录2
送修日期
修理单位名称
地址
邮政编码
电话
电子邮箱
送修故障情况
故障原因
故障处理情况
交验日期
维修人员签字
"} {"image_path": "images/83b160e77ab1122d06da18e4054f3e85.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
021042干粉250g/瓶
"} {"image_path": "images/1212005c83f27a5a1a073fbb8fbcb817.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
024052P1颗粒250g/瓶
"} {"image_path": "images/068559eac9daa3880bb315e3f900010d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
特性说明
支持逐点亮色度校正在 NovaLCT 上对每个灯点的亮度和色度进行校正,有效消除色差,使显示屏的亮度和色度达到高度一致,提高显示屏的画质。
支持接收卡预存画面设置在 NovaLCT 上可以将指定图片设置为显示屏的开机画面、网线断开和无视频源信号时的画面。
支持温度、电压、网线通讯和视频源信号状态检测在 NovaLCT 上可以查看接收卡自身的温度、电压、网线通讯和视频源信号状态检测。
支持液晶模块支持诺瓦公司的通用 5pin 液晶模块。液晶模块连接在 HUB 板上,用于显示接收卡的温度、电压、单次运行时间和总运行时间。
支持配置文件回读在 NovaLCT(V5.0.0 及以上版本)上可以回读接收卡存储的配置信息。
支持固件程序版本回读在 NovaLCT(V5.0.0 及以上版本)上可以回读接收卡固件程序版本。
"} {"image_path": "images/4bfb1f2a145e3ecb405ef6feab5e089a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标质控菌株及编号特征性反应
生长率粪肠球菌 ATCC29212生长良好,培养基浑浊
肺炎链球菌 CMCC31001生长受抑制,培养基澄清
"} {"image_path": "images/df7e9c7104ee02a6c92d6f798b7ebe80.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
C22021B1盒装10套/包,2包/盒
"} {"image_path": "images/f0c3432f4c5a0468df7281a4b677246d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
配方(每升)含量
20.0g
牛肉浸出粉5.0g
乳糖10.0g
蔗糖10.0g
葡萄糖1.0g
氯化钠5.0g
硫酸亚铁0.2g
硫代硫酸钠0.2g
琼脂12.0g
酚磺酞0.025g
最终pH 7.3±0.1
"} {"image_path": "images/d1c23e4b3fa172b88653e357f418f0f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
问题处理过程
有些字母键输入的是数字检查数字小键盘复用键未被激活。按Fn+F10,尝试再次键入。
屏幕显示混乱确认您使用的软件没有重映射键盘。重映射的功能之一就是重新分配每个键的意义。参考软件说明文档。
如果仍不能使用键盘,请咨询您的经销商。
"} {"image_path": "images/78606d135589894000b0f77ebf733c6e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
内胆电炖锅说明书保修卡合格证食谱电源线量杯
1套1台1本1份1张1本1条1个
"} {"image_path": "images/89d7930515cbc06aa002482752a7e7cd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标质控菌株及编号特征性反应
特异性大肠埃希氏菌CMCC(B)44102生长良好,产酸/产酸,产气,不产硫化氢
乙型副伤寒沙门氏菌CMCC(B)50094生长良好,产碱/产酸,产气,产硫化氢
"} {"image_path": "images/a7995819e79be00e5b665da53f2e04bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
问题处理过程
不能输入密码参见第六章“电源和供电方式”的“东芝密码实用程序”部分。
"} {"image_path": "images/87ec517284ffab2ab9ae4ffc77b53138.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号名称单位参数
1辅助回路电压VDC220 Dc110
2分、合闸线圈电压/电流V/ADC110/4;DC220/2
3储能电机额定电压VDC220、AC220/DC110、AC110
正常工作电压范围V85%~110%
功率W600
4电动机储能时间s≤15
5加热器及照明回路电压VAC220V
6辅助开关额定电压VDC220V、AC220V
7辅助开关额定电流A10
8辅助开关接点数10常开+10常闭
"} {"image_path": "images/a3318a222c6c92b494705578f0719f9d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目每100mLNRV%
能量128kJ2%
蛋白质0g0%
脂肪0g0%
碳水化合物7.5g3%
54mg3%
"} {"image_path": "images/697594cb30fb87b293ed7fc7b3f5f57d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型号20M带宽/纹波噪音
(峰-峰值)
200M带宽/纹波噪音
(峰-峰值)
TypMaxTypMax
HQ05P10LRN30mV35mV50mV80mV
HQ06P10LRN30mV35mV45mV85mV
HQ09P12LRN20mV30mV45mV80mV
HQ12P12LRN20mV25mV40mV80mV
HQ15P12LRN20mV25mV40mV80mV
HQ20P12LRN20mV28mV50mV85mV
HQ24P12LRN20mV28mV50mV85mV
备注1. 如未特别说明,所有规格参数均在输入电压为220VAC,满载,环境温度25℃下测试。
2. 测试模块必须外接低纹波电路。(请参考<设计参考电路:EMC低纹波电路>)。
3. 纹波噪音测试所使用的示波器是:< Tektronix-TBS1202B >。
"} {"image_path": "images/df259d78d42c16a8612260575d905e9c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
022543C管装成品$ 10mL\\times20 $支/盒
"} {"image_path": "images/bde2b2fd692b6c3241bb19fa38085a29.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
现象故障原因处理方法
机器黑屏熔断器断路及时送修
"} {"image_path": "images/9b63e977b17be238215c8b1feb780a4e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
参数符号测试条件最小值典型值最大值单位
输入电压$ V_{IN} $$ V_{BAT\\_END} $+0.81224V
输入过压阈值$ V_{IN-OV} $触发电压262728V
解除电压242526V
输入静态电流$ I_{VIN\\_Q} $VIN=12V, IBAT=0A1020mA
待机电流$ I_{BAT\\_standby} $VIN=0V, VBAT=8.4V2030μA
VIN=12V, VBAT=8.4V, 充满停充4050μA
VIN=12V, VBAT=8.4V, VINSEN=0V4050μA
充电目标电压$ V_{TRGT} $充满后 FB 引脚电压2.0852.12.115V
"} {"image_path": "images/e9984e0e854f22c7d1fa4fa693dff872.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RAW(RAW)文件格式:RAW(以压缩Raw格式记录)没有进行数字处理等加工的文件格式。想要按照专门用途,用电脑加工时选择此格式。
●影像尺寸始终固定为最大尺寸,在画面上不显示影像尺寸。
RAW+J
(RAW+JPEG)
文件格式:RAW(以压缩Raw格式记录) +JPEG
同时记录上述RAW影像和JPEG影像。想要记录两种格式的影像(JPEG影像用于阅览,RAW影像用于编辑)时较为方便。
"} {"image_path": "images/060e9cd511ccd97c774b57fde6d8367a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
022081P1颗粒250g/瓶
"} {"image_path": "images/97e9229a4932a542784a205e5f891646.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电量LED1LED2LED3LED4
欠压
0-25%闪烁
25-50%闪烁闪烁
50-75%闪烁闪烁闪烁
75-100%闪烁闪烁闪烁闪烁
"} {"image_path": "images/364cd567a82b262399a3fd016daa7899.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
范围分辨率基本误差极限
0~$ 360^{\\circ} $$ 1^{\\circ} $$ \\pm 3^{\\circ} $
"} {"image_path": "images/8e31c592817ad5f1bacf461912625d53.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
022221干粉250g/瓶
"} {"image_path": "images/2d4c64b2e65de00fdf903d0274197eb5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型式S18SBS15SB
180mm 砂$ \\text{盤}^{*1} $1
150mm 砂$ \\text{盤}^{*1} $1
橡膠墊圈1
扳手1
側柄1
"} {"image_path": "images/a6676d7dc6b38e4d7fe908020c42f4cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标质控菌株及编号生长率特征性反应
生长率大肠埃希氏菌 ATCC25922PR≥0.7灰白色菌落,带红色中心
金黄色葡萄球菌 ATCC6538PR≥0.7黄色菌落,带红色中心
"} {"image_path": "images/60bce8aca0cbf2e28e8a89ac93946867.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
CP0180即用型成品平板$ 90mm\\times 20 $个
"} {"image_path": "images/bdacfac937f09f5723b1ca56734ebd19.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
颜色数码管显示系统状态
红色“H” 闪烁控制器过热
"} {"image_path": "images/c4eff814d49db4a84f6e00f12a772522.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
故障现象故障原因
洗衣机不工作•停电了吗?
•电源插头插上了吗?
有异常声音•没有把发夹,硬币或金属等带入洗涤桶吗?
不能排水•排水管放倒了吗?
•脱水桶内落入洗涤物了吗?
•排水管是否冻结?
•排水管的前方被堵了吗?
不脱水或脱水减慢•脱水桶外盖关上了吗?
•脱水桶轴没被衣物缠住了吗?
脱水中有异常声音振动剧烈•脱水桶里的洗涤物装的太满了吗?
•压盖平整的压入了吗?
•洗涤物放偏了吗?
•洗衣机放平稳了吗?
"} {"image_path": "images/e95fb1efb939e1b854431158d28f9a95.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
质控菌株及编号培养条件标准要求
大肠杆菌809936℃±1℃培养24hPZ≤15%
金黄葡萄球菌ATCC6538PZ≤15%
"} {"image_path": "images/9c17ce2b4965334d0902b61365aabe41.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
配方(每升)含量
牛肉浸出粉10.0g
10.0g
酵母浸出粉3.0g
可溶淀粉1.0g
葡萄糖5.0g
盐酸半胱氨酸0.5g
氯化钠5.0g
乙酸钠3.0g
琼脂0.5g
最终pH6.8$ \\pm $0.2
"} {"image_path": "images/da81f7964cbd7876b8116108ed00525f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
脱扣类型额定电流In A极数额定电压Ue V额定分断能力Icn A
C型6、10、16、20、25、32、401P+N2304500A
D型6、10、16、20、25、32、401P+N2304500A
"} {"image_path": "images/394ce56a5749b6d79e69c800ad7763f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
C22118G4瓶装液体5mL/瓶,50瓶/箱
"} {"image_path": "images/10e2adbf893e32760d51b45fe1a78565.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
配方含量(g/L)
胰蛋白胨10.0
酵母膏粉5.0
氯化钠10.0
琼脂15.0
最终pH 7.4±0.2
"} {"image_path": "images/edb8af174076bb41d9bcbf6fe205955c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称三包有效期性能故障
乐视超级手机主机1年说明书所列功能失效
屏幕无显示 / 错字 / 漏划
无法开机、不能正常登陆或通信
无振铃
拨号错误
非正常关机
SIM卡接触不良
按键控制失效
无声响、单向无声或音量不正常
因结构或材料因素造成的外壳裂损
充电器1年不工作或工作不正常
使用指定充电器无法正常充电
电池可拆卸电池6个月
不可拆卸电池1年
充电后手机仍不能正常工作,判断依据为电池容量不小于80%
外接有线耳机3个月无法正常送受话
"} {"image_path": "images/3cae3f1d01c91bddf1afcc7f6010ca11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
021074干粉250g/瓶
"} {"image_path": "images/84ee0ba25bfa568ea544c4d697070db2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
技术参数指标
输入信号额定电压值 DC30~2000V
测量电压范围 120% $ ^{\\ast} $ Vpn
输出标称值电压:DC 0-5V、DC0-10V;电流:DC 4-20mA、DC 0-20mA
过载保护最大输出≤满度的150%
负载电阻大于5000$ \\Omega $(电压输出型)/小于450$ \\Omega $(电流输出型)
工作电源DC12V /DC15V /DC24V /DC48V(可选)
精度等级0.5
耐压强度输入与输出及电源之间允许AC3500V工频耐压
线性度误差0.2%
失调电压/失调电流
(Ta =+25℃ )
50mV(对应于电压输出型)/
80uA(对应于电流输出型)
反应时间≤ 30mS
绝缘电阻> 20M$ \\Omega $ @DC500V
安装方式TS35导轨
环境温度工作: -10℃ ~ +55℃;储存: -40℃ ~ +85℃
湿度≤93%RH,不结露,无腐蚀性气体场所
海拔≤2500m
"} {"image_path": "images/4ad1e62a4082900e5c553d00e06f3079.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目指标
1工作电压直流12V±20%
2静态工作电流<100mA
3电锁输出电压直流12V±20%(取决于电源电压)
4最大电锁输出电流3A
5开门持续时间1-99秒
6外形尺寸$ 140mm\\times82mm\\times21mm $
7环境温度-20℃/60℃
8读卡类型EM和EM兼容卡
9读卡距离5/8cm(取决于RFID卡)
10外接读卡器类型Wiegand26(韦根26)格式
11用户卡容量2000张(普通型),4000张(增量型)
12用户开门密码容量100位(普通型),200位(增量型)
13触摸按键10位数字触摸按键加2位功能触摸按键
14报警输出电压直流12V±20%(取决于电源电压)
15最大报警输出电流80mA
16报警持续时间1-99分钟
17
18
"} {"image_path": "images/47c0b023f1b3ef42dd11e640294a7104.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
配方(每升)含量
葡萄糖40.0g
酪蛋白胰酶消化物、动物组织的胃酶消化物等量混合10.0g
琼脂15.0g
纯化水1000mL
最终 pH 5.6±0.2
"} {"image_path": "images/adf0d49f9aafb2cffe780bafa8561933.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
配方含量(每升)
蛋白胨5.0g
酵母浸粉3.0g
麦芽浸粉3.0g
葡萄糖10.0g
最终 pH 6.2±0.2
"} {"image_path": "images/41727d4de89a3b7462a58f63910faad6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
环境参数
1.储存温度-40℃——+70℃;
运行温度-10℃——+50℃;
2.最大相对湿度:95%
电源
220VAC+10%~—15%50Hz 保险丝0.5A EMI/RFI 滤波器
称重传感器
仪表提供10VDC,200mA激励电源,可并联4个称重传感器
灵敏度,0.5mV/V-3.5mV/V
最大输入信号33mV
称重传感器屏蔽接地
电缆距离大于60米(不超过900米)时采用激励补偿
电路跳线选择本地或远程补偿
主板数字输入端口
仪表主板提供3个可编程输入端口,接收干触点开关信号。
主板数字输出端口
仪表主板提供3个可编程输出端口,24VDC集电极开路输出,
可直接驱动控制继电器。
通讯板
仪表可安装通讯板。可使用标准RS485-232、RS-485串行
一路过程控制模式:PID控制输出
接口与上位机通讯板采集仪表数据并对仪表进行操作,
具有双向通讯功能。
输出电流
可输出与流量成正比的0-20mA或4-20mA电流
"} {"image_path": "images/30d7c0abb292c50231a5f41fa7c34913.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
配方含量(每升)
胰蛋白胨(胰酪蛋白胨)15.0g
植物蛋白胨(大豆蛋白胨)5.0g
氯化钠5.0g
琼脂15.0g
最终pH$ 7.3\\pm0.2 $
"} {"image_path": "images/c53eb870461109551253b36e24fb42d8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
供电电压12-36V功耗≤20W
工作温度-40℃ ~ +60℃防护等级IP65
物理尺寸150×130×135 (mm)重量≤3kg
冲击振动满足 GJB150.16A-2009、GJB150.18A-2009 要求
"} {"image_path": "images/bf631eabdede88d111198694e308bc3f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型号110英寸Pro
(W110PNB)
98英寸Pro
(W98PNB)
85英寸
(W85PNE)
75英寸
(W75PNE)
55英寸
(W55PNE)
43英寸
(W43PNE)
显示
屏类型VAVAVAVAVAVA
响应时间--8ms8.5ms6.5ms6.5ms
画面比例16:916:916:916:916:916:9
分辨率3840(H)*2160(V)3840(H)*2160(V)3840(H)*2160(V)3840(H)*2160(V)3840(H)*2160(V)3840(H)*2160(V)
刷新频率120Hz60Hz60Hz60Hz60Hz60Hz
色域NTSC(Typ)90%90%72%72%72%72%
对比度(Typ)--1200:15000:14000:15000:1
可视角度178°(H/V)178°(H/V)178°(H/V)178°(H/V)178°(H/V)178°(H/V)
背光类型DLEDDLEDDLEDDLEDDLEDDLED
屏亮度$ 350cd/m^{2} $$ 350cd/m^{2} $$ 300cd/m^{2} $$ 350cd/m^{2} $$ 450cd/m^{2} $$ 450cd/m^{2} $
寿命≥30000小时≥30000小时≥30000小时≥30000小时≥30000小时≥30000小时
扬声器
声道2.22.22.02.02.02.0
功率2*7W+2*18W2*7W+2*18W2*15W2*10W2*8W2*8W
发声位置顶置发声顶置发声下置发声下置发声后置发声后置发声
I/O 接口
HDMI IN332222
HDMI OUT----1(可选)1(可选)
USB 2.0332222
VGA IN--1111
AUDIO IN--1111
AUDIO OUT111111
SPDIF----11
RS232111111
RJ45 IN111111
系统配置
CPU四核 A73四核 A73四核 A55四核 A55双核 A73+双核 A53双核 A73+双核 A53
GPU双核-Mali-G52双核-Mali-G52Mali-G31 MP2双核-Mail-G51Mali-G51MP2Mali-G51MP2
RAM6G6G4G4G3G3G
ROM64G64G16G16G16G16G
"} {"image_path": "images/8ab9287a4f96f096254466ff1a0ca97c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编码产品类型包装规格
028366干粉100g/瓶
"} {"image_path": "images/b9a0af7a8062c2917f91b780da1c324b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
CP0030即用型成品平板$ 90mm\\times 10个/袋\\times 2袋/盒 $
"} {"image_path": "images/2da73b9dd9e9aa1925a5c20107ab1c6a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
探头
传感器COLIY第三代半导体氮化镓GaN霍尔传感器
可搭配的探头详见“探头规格”列表
接插件无磁超轻6芯防水接插件
探头握把和保护套无磁航空铝合金,抗10米跌落
电缆线6芯屏蔽双绞线柔性电缆,符合CAT5e标准
电缆长度标准1.5米;可订制最长30米
USB接口
功能仅供电,用于连接5VDC充电器或者移动电源(充电宝)。
模拟输出
模拟输出
主机规格
工作温度-10℃ to +60℃
预热开机即用。预热30分钟后达到最佳性能
主机温度系数<±50ppm/℃,在工作温度范围内对精度影响忽略不计
储存温度-20℃ to +75℃
环境磁场<1kG(0.1T)
电池可充电4400mAH锂离子电池
电池连续工作时间>15小时(标准试验环境中测试,低温环境下工作时间会减少)
电源5VDC,可连接充电宝供电
尺寸$ 238mm\\ W\\times95mm\\ H\\times42mm\\ D $
重量350g
认证CE认证、EMC认证
"} {"image_path": "images/28ffa68e4090ddf8733a8075cfa50c83.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
028075P1颗粒250g/瓶
"} {"image_path": "images/13bdcdbf305a5c83cfd18fdc29b53f9d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
陀螺仪量程±500°/s
零偏稳定性≤0.3 °/h (1σ,10s@室温)
加速度计量程±30g
零偏稳定性≤30μg (1σ,10s@室温)
"} {"image_path": "images/f9a54defe9f6cb51d8727d533ed9f702.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
027405干粉250g/瓶
"} {"image_path": "images/d7a59bb66527ac869261244ba76013d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
安全裝置作動
中途熄火安全裝置使用中燃燒器之火焰熄滅時,會自動關掉瓦斯。
殘火安全裝置因空燒等、使熱交換器內之溫度異常上升時,瓦斯會自動停止供應。
停電後來電自動復電機能使用中停電時,會自動關掉瓦斯,如水持續流動中再復電,會出現6次點滅(顯示E6),請將熱水龍頭關閉後再打開,設定溫度維持原設定。
熱交換器損傷安全裝置(溫度保險絲)熱水器內部溫度異常上升時,會自動關掉瓦斯。
洩壓閥熱交換器內之壓力異常上升時,能將壓力洩放。
連續燃燒安全機能熱水器連續燃燒使用長達60分鐘時,會自動關掉瓦斯。
冷凝水阻塞保護冷凝水排出阻塞時,使用中途自動關閉瓦斯。
中和劑使用完畢警示冷凝水中和劑使用完畢造成中和效能不足,此時機器無法正常運作。
"} {"image_path": "images/18f411a8535f96a0fa180e172df6b661.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目名称临床意义
TP升高常见于脱水、免疫球蛋白增加;降低常见于肝肾、肠胃疾病,营养不良,慢性炎症
GLU升高常见于胰岛素分泌缺乏;降低常见于营养不良,消化不良,慢性贫血
BUN升高常见于肾脏病变,蛋白质过度分解,高蛋白摄入;降低常见于肝功能衰竭,蛋白质吸收不足
ALT升高常见于原发性肝细胞和肝胆系统疾病,代谢性紊乱,继发性肝脏疾病,药物影响
ALP升高常见于肝胆疾病,恶性肿瘤,药物影响;降低常见于甲状腺机能减退,锌缺乏
CRE升高常见于肾脏疾病;降低常见于营养不良,肌萎缩
BUN/CRE升高多见于发热、脱水、消化道出血、心功能不全、肝肾综合征、尿路梗阻、高蛋白饮食等;降低多见于饥饿、低蛋白饮食、合并严重肝功能衰竭,使用利尿药物等
ALB升高常见于脱水;降低常见于营养不良,肝功受损,大量出血,寄生虫或肠道类消耗疾病
GLO升高常见于慢性炎症和感染
A/G减低常见于肝脏疾病(如慢性肝炎、肝硬化、肝癌、肝损伤等)、肾病综合征、急慢性肾炎、感染或营养不良等
"} {"image_path": "images/770072d7b3c826379046e9120bef583c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
028361干粉100g/瓶
"} {"image_path": "images/b4a4a596cd578b9fdabd97ae970bb5d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ 電壓(按地區)^{*} $(110V,120V,127V,220V,230V,240V)~
$ 輸入功率^{*} $400W
剪切能力低碳鋼板$ (400N/mm^{2}) $1.6mm
不鏽鋼板$ (600N/mm^{2}) $1.2mm
鋁板$ (200N/mm^{2}) $2.3mm
無負載時的沖程數4700/分
重量(不含線纜)1.7kg
"} {"image_path": "images/1d985c3714aa7e6960c76b1806b0d5b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
配方(每升)含量
蛋白胨7.0g
酵母膏粉3.0g
乳糖10.0g
氯化钠5.0g
3号胆盐1.5g
中性红0.03g
结晶紫0.002g
琼脂15.0g
最终 $ pH 7.4\\pm 0.2 $
"} {"image_path": "images/0e7bb0cd5ca7b417273c8afa2f8b07e7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
配方(每升)含量
10.0g
牛肉浸出粉3.0g
葡萄糖5.0g
氯化钠5.0g
最终pH$ 7.2\\pm0.2 $
"} {"image_path": "images/84f1b8c783ec1bb83877c212a66359f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
成分CAS.NO浓度(%)
Pigment/色料1333-86-410-30%
Polyster Resin/缩水甘油封端双酚A环氧氯丙烷共聚物25036-25-321-50%
Ethylene glycol monobutyl ether/乙二醇一丁醚111-46-230-50%
Additive organic sillcon/添加剂(二氧化硅)14808-60-71±0.1%
"} {"image_path": "images/9e13c2a30cd999f99c895b5f43d1a4a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
显示代码现象解释检查要点及排除
E1开门在运行状态下,停止工作显示E1,关门自动解除
E3工作水位低于安全水位,发生干烧机器停止加热,显示E3,手动关机解除,然后请联系九阳售后解决
E7温度传感器开路显示E7,断电解除,然后请联系九阳售后解决
E8温度传感器短路显示E8,断电解除,然后请联系九阳售后解决
E9进水泵失效,流量计异常或进水异常停止工作,显示E9,断电解除,然后请联系九阳售后解决
"} {"image_path": "images/4cde10621e478481bf5970fa9656400f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标质控菌株及编号特征性反应
特征观察普通变形杆菌CMCC (B) 49027阳性,滴加TDA试剂1滴,呈红褐色
大肠埃希氏菌ATCC25922阴性,滴加TDA试剂1滴,不变色
"} {"image_path": "images/3734b44e46155494d90ca40c70c72361.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品编号产品类型包装规格
028032干粉250g/瓶
"} {"image_path": "images/6e645aca228c1048e06e631951df98fe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CPU4核2.6GHz+4核1.8GHz
AI算力5T FLOPS
操作系统安卓 10.0
"} {"image_path": "images/50db915366740306d80b28bf7f2e0141.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目序号轻缺陷重缺陷严重缺陷
外观及缝制质量1商标和耐久性标签不端正、不平服、明显歪斜
2使用粘合衬部位脱胶、外表面渗胶、起皱、起泡及沾胶
3熨烫不平服;有光亮轻微烫黄;变色变质,残破
4用线与面料色泽、性能不适宜
5有不明显污渍、粉印小于等于 $ 1.0cm^{2} $;水花不大于 $ 2.0cm^{2} $有明显污渍,面料大于 $ 1.0cm^{2} $;里料大于 $ 2.0cm^{2} $;水花大于 $ 4.0cm^{2} $有严重污渍,污渍大于 $ 5.0cm^{2} $
6各部位缝制不平服、松紧不适宜面料正面有明显拆痕;表面部位布边针眼外露
730.0 cm内有两处单跳针;各封结、回针不牢固连续跳针或30.0 cm内有两处以上单跳针链式针迹跳针
8各部位缝制不平服、松紧不适宜;底边不圆顺;外露缝份毛边外露;毛、脱、漏小于1.0 cm有明显拆痕;毛、脱、漏大于等于1.0 cm;表面部位布边针眼外露毛、脱、漏大于2.0 cm
9锁眼间距互差大于0.2 cm;偏斜大于0.2 cm;纱线绽出跳线;开线;锁眼缺线或断线大于0.3 cm
10扣与眼位互差大于0.2 cm(包括附件等);钉扣不牢固扣与眼位互差大于0.5 cm(包括附件等)
11领面不平服;领型不对称
12装饰件不平服、不牢固;呢绒粘扣带四角不圆顺装饰件不端正,明显影响外观;呢绒粘扣带缝制不牢固钮扣、附件脱落;金属件锈蚀;装饰件残破、缺少
"} {"image_path": "images/5eb7bf42fa4fcef90eb8e05755eb3529.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
尺寸65英寸/86英寸
屏幕分辨率3840 x 2160
可视角度水平:178°,俯仰:178°
显示屏工艺零贴合
多点触控20点
"} {"image_path": "images/7049ca52cd83c9b566a84c0aedc84f38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
部件名称有害物质
铅(Pb)汞(Hg)镉(Cd)六价铬(CrⅥ)多溴联苯(PBB)多溴二苯醚(PBDE)
橡胶件(胶圈、密封圈等)OOOOOO
玻璃陶瓷类结构件(炖盅等)OOOOOO
温控器OOOOOO
贴纸类(铭牌、条码等)OOOOOO
非阻燃塑料结构件(底座、上盖等)OOOOOO
标准件(螺钉、螺母等)OOOOOO
不锈钢结构件(底座五金片等)OOOOOO
热敏电阻组件OOOOOO
接地线OOOOOO
线束OOOOOO
熔断器组件(熔断器等)OOOOOO
电热器(发热盘、电热管等)OOOOOO
风扇支架OOOOOO
开关*OOOOOO
阻燃塑料结构件(隔热圈、插座等)OOOOOX
发热片*XOXOOO
其它金属结构件(聚能环等)XOOOOO
印刷线路板、电源线组件(PCB板、电容等)XOOOOX
"} {"image_path": "images/8e052670beaf9ba94792bdabf090244c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
书写高度2mm
书写延时40ms超低延时书写$ ^{[6]} $
手写笔标配4支手写笔,支持笔头书写、笔尾橡皮、手掌擦除
手掌防误触
"} {"image_path": "images/a35964b405655a78f5f8232225e5e1d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
水开持续不断电内部线松脱或接触不良把线插紧
感温探头坏送维修站更换传感器
E1壶体和底座分离将壶体放回底座
传感器损坏请送九阳售后维修
E2干烧时间过长关机加冷水冷却后再使用
传感器短路请送九阳售后维修
E3干烧保护1、关机加冷水冷却后再使用
2、如仍未解决,请送九阳售后维修
"} {"image_path": "images/7697f45941d70e2b2fef5fd779aa9742.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检测项目检测依据检测结果单位卫生规范要求
Q/SDLY 0001S-2021
单项判定
1性 状$ ^{\\ast} $QB/T 4576-2013 之7.1白色颗粒或粉末/白色颗粒或粉末合格
2透明质酸钠含量$ ^{\\ast} $QB/T 4576-2013 之7.299.2g/100g≥87.0合格
3水分GB 5009.3-20167.73g/100g≤10.0合格
4灰分GB 5009.4-201611.3g/100g≤13.0合格
5pH(1mg/mL水溶液,25℃)$ ^{\\ast} $QB/T 4576-2013 之7.56.8/6.0-8.0合格
6透光率(1mg/mL水溶液)$ ^{\\ast} $QB/T 4576-2013 之7.699.9%≥99.0合格
7分子量$ ^{\\ast} $Q/SDLY 0001S-2021附录A9.3×105%8.02×104 - 4.01×10$ ^{6} $合格
8铅(以Pb计)GB 5009.12-2017<0.005mg/kg≤0.5合格
9总砷(以As计)GB 5009.11-2014<0.003mg/kg≤0.3合格
10菌落总数GB 4789.2-2016①<10②<10③20④<10⑤<10CFU/gn=5,c=2, m=10$ ^{4} $, M=10$ ^{5} $合格
11大肠菌群GB 4789.3-2016①<10②<10③<10④<10⑤<10CFU/gn=5,c=2, m=10, M=10$ ^{2} $合格
12霉菌和酵母菌总数GB 4789.15-2016<10CFU/100g≤50合格
13沙门氏菌GB 4789.4-2016未检出/25gn=5,c=0, m=0合格
"} {"image_path": "images/4ba0c862c6b8d7473d06d68dca829731.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
委托单位汨罗市自来水有限公司
样品名称出厂水样品类型生活饮用水
样品编号TY231033采样环境天气:晴 气温:30.0℃
样品状态无色透明液体采样地点水厂泵房取水口
采样日期2023年10月18日报告日期2023年10月30日
标准依据GB 5749-2022 GB/T 5750-2023采样人吴帅 张洪
"} {"image_path": "images/ab0325d68515387956b3662d0149e860.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Wi - FiWi - Fi 6, 2.4G & 5G双频, 2x2 MIMO
蓝牙蓝牙5.0
NFC支持
TCP/IPIPv4 & IPv6
"} {"image_path": "images/669b665a07d210300b466652c29e85f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
支持协议SIP/H.323
视频通话质量最高支持4Kp30或1080p60
内容共享质量最高支持4Kp15或1080p30
视频编解码标准H.265, H.264 SVC, H.264 HP, H.264, H.263
音频编解码标准ARES, Opus, G.722.1C, G.722.1, G.722,
G.711 (PCMU/PCMA), G.729
带宽需求4Kp30, 最低带宽2Mbps (H.265)
1080p30, 最低带宽512Kbps (H.265)
720p30, 最低带宽384Kbps (H.265)
抗丢包能力30%视频抗丢包,70%音频抗丢包
"} {"image_path": "images/cde44d11a005ef180acf04ae7074193f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
质量指标名称计量单位技术规定指标检验结果单项判定
$ 1^{\\#} $$ 2^{\\#} $
外观
质量
/整竿按使用方向目测时无明显的侧向弯曲或扭曲++符合
漆膜均匀,无堆漆、流漆、污痕和掉漆现象++
不得碰伤、划伤表面++
标志清晰++
使用长度cm≥354.0362.5361.5符合
零部件
要求
/粘接配件,应结合牢固,无松动、脱落和开裂现象++符合
尾件、堵头等非粘接件应松紧适度,手握竿体左右晃动时,应无松动现象++
竿节配合质量/各配合部位无响++符合
mm相同竿节的相对尺寸偏差≤30最大值: 7
弹性恢复率 (%)/≥809797符合
振动强度/钓鱼竿无裂缝或断裂,配合部位、粘接部位和缠线固定部位无松动、变形和脱落++符合
静负荷量/6N静负荷量下,整竿弯曲弧线流畅,无开裂、折断和脱锥现象6N时+6N时+符合
漆膜
耐腐蚀性
/竿体在 3%NaCl 溶液中浸泡 72h,漆膜不起泡起皱、不脱落、不变色和不失光++符合
漆膜硬度/≥2H2H2H符合
涂层附着力/不低于 2 级2 级2 级符合
碳纤维含量 (%)/≥$ 98_{-5} $/98符合
可迁移铅元素mg/kg≤600/未检出符合
说明1. 可迁移铅元素检出限 5 mg/kg;
2. “+” 表示符合要求.
"} {"image_path": "images/94ab97d554dd0ba137802f8048254698.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目单位胎次(Parity)
12+
妊娠天数(Days of Gestation)/d
<90$ \\geq $90<90$ \\geq $90
饲粮消化能$ ^a $(DE)MJ/kg(kcal/kg)12.97(3 100)12.97(3 100)12.97(3 100)12.97(3 100)
饲粮代谢能$ ^a $(ME)MJ/kg(kcal/kg)12.45(2 975)12.45(2 975)12.45(2 975)12.45(2 975)
饲粮净能$ ^a $(NE)MJ/kg(kcal/kg)9.46(2 260)9.46(2 260)9.46(2 260)9.46(2 260)
粗蛋白质(CP)%11.514.010.011.5
赖氨酸代谢能比(Lys/ME)g/MJ(g/Mcal)0.41(1.71)0.56(2.35)0.29(1.21)0.39(1.65)
钙和磷(Calcium and Phosphorus)
总钙(Total Ca)%0.520.650.430.56
总磷(Total P)%0.420.490.360.43
有效磷(Available P)%0.230.280.180.24
氨基酸(Amino Acids)
标准回肠可消化基础(SID AAs Basis)
赖氨酸(Lys)%0.440.610.310.43
蛋氨酸(Met)%0.130.170.080.12
蛋氨酸+半胱氨酸(Met+Cys)%0.290.400.210.29
苏氨酸(Thr)%0.310.430.230.32
色氨酸(Trp)%0.070.120.060.09
异亮氨酸(Ile)%0.250.320.170.22
亮氨酸(Leu)%0.400.570.290.41
缬氨酸(Val)%0.310.440.230.32
精氨酸(Arg)%0.230.330.160.22
组氨酸(His)%0.150.190.100.13
苯丙氨酸(Phe)%0.240.340.180.25
"} {"image_path": "images/f91b502a4ca1aaa0b35c343b72403ac3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测试流程a) 交易预处理和探测卡片成功完成;
b) 使用PPSE方式选择应用;
c) 执行初始化应用处理;
d) 终端发送GPO命令;
e) 卡片返回GPO响应,响应包括发卡机构认证数据(标签‘9F10’):第5字节第6~5位为‘01’
测试结果终端应依据电子现金应用执行fDDA,终端批准脱机交易
"} {"image_path": "images/d7f778a23195a6a32e9c286a02a04f84.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
客户签收单
本人确认已收齐以上所有产品,并安装完成。
签收人:尚伟东签收日期:2023.2.24
送装是否准时安装是否完成
家具是否需要调试、维修防倒器是否有安装
地板、墙面是否有刮花外包装是否带走
师傅服务态度如何满意一般有待提升
异常反馈
温馨提示:
(1)在安装师傅离开前,请仔细检查您购买的家具,安装是否到位,使用是否顺畅,安装家具是否和网页订单一致,家具是否存在瑕疵及破损问题,安装过程是否造成地板墙壁被刮花;
(2)未安装防倒器的柜类、桌类,有可能倾倒并导致严重的人身伤害,为了您及家人的安全,建议安装防倒器;请确认以上情况无误后再进行签收,感谢您的配合!(此温馨提示非常重要)
"} {"image_path": "images/aa1f805d1904cb694f145ea74a44bdf9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
代号项目名称结果参考范围单位代号项目名称结果参考范围
TBIL总胆红素22.40--26umol/L
DBIL直接胆红素6.70--8umol/L
IBIL间接胆红素15.7 ↑0--15umol/L
TBA总胆汁酸1.60--9.67umol/L
ALT谷丙转氨酶139--50U/L
AST谷草转氨酶1615--40U/L
ALP碱性磷酸酶6845--125U/L
GGT谷氨酰转肽酶3110--60U/L
TP总蛋白73.065--85g/L
ALB白蛋白49.840--55g/L
GLOB球蛋白23.220--40g/L
A/G白球比2.11.5--2.5
BUN尿素氮3.903.1--8mmol/L
CREA肌酐5757--97umol/L
UA尿酸329208--428umol/L
"} {"image_path": "images/bd1339c5a38fde302328c6f9a5bed6f1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称促黄体生成素检测试剂盒(胶体金免疫层析法)注册证或备案凭证编码京械注准20172400838
生产企业名称万华普曼生物工程有限公司
代理人名称万华普曼生物工程有限公司
召回单位负责人和联系方式,经办人和联系方式万志强:15652216289
孙宇涛:15910734305
产品的适用范围用于体外定性检测人体尿液中的促黄体生成素(LH)含量。
涉及地区和国家中国召回级别三级
涉及产品生产(或进口中国)批次、数量10560涉及产品型号、规格条型:1人份/袋,5袋/盒。
识别信息
(如批号)
22080060涉及产品在中国的销售数量10560
召回原因简述深圳市市场监督管理局对我公司生产的《促黄体生成素检测试剂盒(胶体金免疫层析法)》批号为22080060的产品进行抽检,该批号产品不符合GB/T 18990-2008《促黄体生成素检测试纸(胶体金免疫层析法)》标准中4.2临界值的要求。
纠正行动简述(包括召回要求和处理方式等)1、停止销售该批次产品。
2、发送《忠告性通知发布单》,要求客户停止销售使用并退回该批次产品。
3、销毁所有召回的该批次产品。
"} {"image_path": "images/32e45f2d65dc6ffedd2bc84318ec1515.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
甜瓜维生素C、叶酸、膳食纤维和维生素A541
甜菜叶酸,膳食纤维,维生素C和钾的良好来源442
西红柿维生素C、膳食纤维、维生素E、叶酸和维生素A441
草莓维生素C、铁641
蓝莓维生素C641
抱子甘蓝维生素C、B、B6、E、叶酸和膳食纤维681
圆白菜维生素C,叶酸,钾,B6和膳食纤维362
胡萝卜维生素A、C、B6和膳食纤维922
芹菜维生素C和钾342
黄瓜维生素C601
菠菜维生素A、钙、铁561
苦瓜维生素C和钾441
甜椒维生素C、胡萝卜素501
"} {"image_path": "images/a14acc4e30056975ee98001d4925a072.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
会计年度2021A2022A2023E2024E2025E
经营活动现金流-191-111-101-129-35
净利润-3-29-341741
折旧摊销3773926374
财务费用147136
投资损失00000
营运资金变动-229-216-161-212-157
其他经营现金流315000
投资活动现金流-146-163-84-92-99
资本支出146163-92825
长期投资00000
其他投资现金流00-92-63-74
筹资活动现金流56025130-12-15
短期借款384306000
长期借款3611-12-9-9
普通股增加17805000
资本公积增加-3677000
其他筹资现金流329-73-8-3-5
现金净增加额221-11-155-232-149
"} {"image_path": "images/8821e38133c2c96f9ddf08fb84288f11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
常数代码含义
LR_CONFIGURED16链路层已配置
LR_STRONG17节点当前是运行主设备
LR_SLAVE18节点当前是运行从设备
LR_PROMOTED19节点从弱主提升为强主
LR_NAMING_SUCCESSFUL20主设备指示初运行结束
LR_NAMED21节点是已命名从节点
LR_WEAK22主设备转为弱主
LR_REMOVED23节点从配置中移除
LR_DEMOTED24弱主检测到强主
LR_DISCONNEXION25节点被断开
LR_INHIBITED26初运行被禁止
LR_INCLUDED27包含在组成中
LR_LENGTHENING28主设备检测到列车延伸
LR_DISRUPTION29节点检测到末端节点丢失
LR_MASTER_CONFLICT30强主检测到另一个强主
LR_NAMING_FAILED31命名时失败
LR_NEW_TOPOGRAPHY32接收到新拓扑
LR_NODE_STATUS33已改变的节点状态
LR_POLL_LIST_OVF34部分可运行
LR_ALLOWED35允许初运行
"} {"image_path": "images/7a5188ebe92163149d10c83ca7e7e04e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一级指标二级指标要求判定依据
资源属性平板玻璃外观质量应满足 GB 11614 中最高等级的技术要求GB 11614
单位产品能耗应符合表 A.1 要求GB 21340
水资源用水定额≤$ 0.01 m^{3}/m^{2} $附录 B
包装材料可循环材料利用率≥90%附录 B
"} {"image_path": "images/146383dd458606d8487e7e40440a5588.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检测参数标准要求单位检测结果单项判定
1容器中状态无硬块,搅拌后呈均匀状态/无硬块,搅拌后呈均匀状态合格
2施工性刷涂二道无障碍/刷涂二道无障碍合格
3对比率≥0.87/0.89合格
4涂层耐温变性3次循环,无异常/无异常合格
5耐洗刷性(2000次)漆膜未损坏/漆膜未损坏合格
6耐沾污性≤20%18合格
7耐碱性(48h)无异常/无异常合格
8耐水性(96h)无异常/无异常合格
9干燥时间(表干)≤2h1.5合格
10涂膜外观正常/正常合格
11低温稳定性不变质/不变质合格
以下空白
"} {"image_path": "images/2ea681074c30c66114f692ae75a94620.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
频率
GHz
DRG HORNLPDA或者LPDA-V*
$ \\theta_{3dB} $d=1md=3md=10m$ \\theta_{3dB} $d=1md=3md=10m
w
m
w
m
w
m
w
m
w
m
w
m
1.00601.153.4611.55601.153.4611.55
2.00350.631.896.31551.043.1210.41
4.00350.631.896.31551.043.1210.41
6.00270.481.444.80551.043.1210.41
8.00250.441.334.43500.932.809.33
10.00250.441.334.43500.932.809.33
12.00250.441.334.43500.932.809.33
14.00250.441.334.43450.832.498.28
16.0050.090.260.87400.732.187.28
18.0050.090.260.87400.732.187.28
"} {"image_path": "images/b87974c024b1593449dd242c183390d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
步骤交互注释
1PUT$ \\blacktriangleright $‘52’(短帧)$ \\blacktriangleright $ LT轮询期间的 WUPA
2PUT $ \\blacktriangleleft $‘01 00’(无CRC_A)$ \\blacktriangleleft $ LTATQA
3PUT$ \\blacktriangleright $‘50 00’$ \\blacktriangleright $ LTHLTA
4PUT$ \\blacktriangleright $‘50 00 08’(Type B帧)$ \\blacktriangleright $ LTWUPB
5PUT$ \\blacktriangleright $‘52’(短帧)$ \\blacktriangleright $ LTWUPA
"} {"image_path": "images/3bb2b969973bbdc2813968e0fdf7615d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(本列数据的勾稽关系为:第一项加第二项之和,等于第三项加第四项之和)申请人情况
自然人法人或其他组织总计
商业企业科研机构社会公益组织法律服务机构其他
一、本年新收政府信息公开申请数量85000013
二、上年结转政府信息公开申请数量0100001
三、本





(一)予以公开83010010
(二)部分公开(区分处理的,只计这一情形,不计其他情形)0000000
"} {"image_path": "images/2bbe3aa841838cd74f90c016e084e516.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称可吸收性止血材料注册证或备案凭证编码国械注准20163642397
生产企业名称北京泰科斯曼科技发展有限公司
代理人名称北京泰科斯曼科技发展有限公司
召回单位负责人和联系方式,经办人和联系方式张津育,13601004096
张津育,13601004096
产品的适用范围本品用于人体内外创伤及手术止血护创,可用于毛细血管,静脉或小动脉出血的止血。
涉及地区和国家中国河北省召回级别三级
涉及产品生产(或进口中国)批次、数量51924涉及产品型号、规格S-100 吸收性止血绫
4×6.5cm2 双片复合
识别信息
(如批号)
20200804涉及产品在中国的销售数量51828
召回原因简述我公司收到北京市药品监督管理局第五分局送达的《检验报告》(报告编号:HBQX202200019)产品批号20200804,检测项目:干燥失重不符合。我公司接到不合格检验报告后,第一时间对该批次产品进行召回。
纠正行动简述(包括召回要求和处理方式等)公司接到不合格检验报告,决定第一时间对该批次产品进行召回,并向经销商发布了产品召回通知。
"} {"image_path": "images/6e13069342be94f86aeae4e6dfdafe13.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
阴离子阳离子
钙离子镁离子钠离子
硫酸根(1)硫酸钙(2)硫酸镁(3)硫酸钠
氯离子(4)氯化钙(5)氯化镁(6)氯化钠
"} {"image_path": "images/4398005a7e363aab0ee9a3fa142f3443.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
信息内容上一年项目数量本年增/减处理决定数量
行政许可27-1011379
其他对外管理服务事项15-20
第二十条第(六)项
信息内容上一年项目数量本年增/减处理决定数量
行政处罚113015
行政强制500
第二十条第(八)项
信息内容上一年项目数量本年增/减
行政事业性收费00
第二十条第(九)项
信息内容采购项目数量采购总金额
政府集中采购321175万元
"} {"image_path": "images/d1db757985a494003c7eb35c8b513c51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2015201620172018E2019E2020E
货币资金1,3251,0251,1052,4702,6812,900
应收款项741742282,5433,0073,535
存货233102741,5671,8432,154
其他流动资产4927435893,2063,6434,120
流动资产2,1242,0441,9959,78611,17412,709
%总资产90.0%87.4%87.7%78.7%75.3%71.5%
长期投资07177316316316
固定资产120121116223255283
%总资产5.1%5.2%5.1%1.8%1.7%1.6%
无形资产10894822,1093,0904,459
非流动资产2362942792,6533,6675,064
%总资产10.0%12.6%12.3%21.3%24.7%28.5%
资产总计2,3602,3382,27412,43914,84117,773
短期借款50036525747
应付款项6325984335,1926,1247,177
其他流动负债527182589684869
流动负债7356695515,8336,8658,093
长期贷款000000
其他长期负债054234234235
负债7356745556,0677,0998,328
普通股股东权益1,5781,6201,6796,2677,6369,340
少数股东权益474440105105105
负债股东权益合计2,3602,3382,27412,43914,84117,773
"} {"image_path": "images/d3ed4fac5fbfb06d29e7f7f1effcba0a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ElementType 取值说明
节目内容类对象
Series连续剧
ChannelTV 频道信息
Program节目信息
Schedule节目单信息
内容元素类对象
Movie媒体内容信息
Picture图片信息、海报信息
PhysicalChannel频道物理参数信息
ScheduleRecord录制的实体文件
基础数据类对象
Cast演员信息
CastRoleMap演员角色信息
Category编排目录信息、栏目信息
业务类对象
Service业务信息
Product产品信息
"} {"image_path": "images/9c146b0c46e390fda17f2f8b6eb46ab2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目单位技术要求检验结果单项评价重要程度分类
1挥发性有机化合物含量(VOC)g/L≤120未检出(注1)合格A类
2苯、甲苯、乙苯、二甲苯总和mg/kg≤300未检出(注2)合格A类
3游离甲醛mg/kg≤10012合格A类
4可溶性重金属铅Pbmg/kg≤90未检出(注3)合格A类
镉Cdmg/kg≤75未检出(注4)合格A类
铬Crmg/kg≤60未检出(注5)合格A类
汞Hgmg/kg≤60未检出(注6)合格A类
5低温稳定性(3次循环)不变质未变质合格B类
6对比率(白色和浅色)≥0.900.96合格B类
7耐碱性(24h)无异常无异常合格B类
8耐洗刷性≥300300未露底合格B类
备注注1:挥发性有机化合物含量(VOC)的检出限为2g/L
注2:苯、甲苯、乙苯、二甲苯总和的检出限为50mg/kg;
注3:铅(Pb)的检出限为2.0mg/kg;
注4:镉(Cd)的检出限为0.20mg/kg;
注5:铬(Cr)的检出限为2.0mg/kg;
注6:汞(Hg)的检出限为$ 5.0\\times10^{-3}mg/kg $。
"} {"image_path": "images/2b60aa79412478a330137a99e846ccdd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称一次性使用医用口罩注册证或备案凭证编码皖械注准20172640070
生产企业名称潜山县天虹卫生材料有限公司
代理人/
召回单位负责人和联系方式段春明 13905561762
产品的使用范围该产品为医疗机构及家庭使用的卫生用品
涉及地区和国家安徽省潜山市召回级别三级召回
涉及产品生产(或进口中国)批次、数量批号:210113 数量:3000涉及产品型号、规格17.5cm*9.5cm*3层
识别信息(如批号)批号:210113涉及产品在中国销售数量3000
召回原因简述通气阻力不合格
纠正行动简述(包括召回要求和处理方式等)我公司于2021年7月19日以打电话的方式通知所领用人员对批号为:210113的一次性使用医用口罩进行召回,由于批号:210113已经全部用完,并无召回的口罩。
"} {"image_path": "images/854b579e085b846aa2f51cc520236057.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
洗衣机类型限定值/%
波轮式洗衣机$ \\geqslant 86.0 $
搅拌式洗衣机$ \\geqslant 94.0 $
滚筒式洗衣机$ \\geqslant 92.0 $
"} {"image_path": "images/e2467f3a739fc585834a86cac8823e68.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称心脏稳定系统注册证或备案凭证编码苏械注准20152030407
生产企业名称迈柯唯医疗设备(苏州)有限公司
代理人名称不适用
召回单位负责人和联系方式,经办人和联系方式卢海燕 电话:0512-69369238
周文娟 电话:0512-69369238
产品的适用范围用于心脏不停跳搭桥手术的手术器械,适用于心脏不停跳直视手术的病人,用于心脏外科手术中,起到固定心肌和暴露视野的作用。
涉及地区和国家中国召回级别二级
涉及产品生产(或进口中国)批次、数量5,064件涉及产品型号、规格ACROBAT-i OM-10000,
ACROBAT-i OM-10000S
识别信息(如批号)见附录涉及的产品在中和销售数量5,064件
召回原因简述在心脏稳定系统产品的生产过程中,发现托盘密封存在未经验证的重复封装,可能存在潜在的无菌屏障失效的风险。该情况为偶发现象。抽样测试结果表明重复封装后的产品仍满足无菌的要求。截至目前未收到任何此问题相关的投诉或不良事件报告。
本着对客户负责的态度,确保产品使用安全、有效,本公司决定对其进行召回。
纠正行动简述(包括召回要求和处理方式等)1. 识别受影响的批次和客户,通知客户退还其中未经使用的产品。
2. 退回的产品将在收到后隔离并按要求进行销毁。
"} {"image_path": "images/49b041b0bdb9c3559ac6dfb1574d3948.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检测项目检测方法检出限主要仪器
色度GB/T 5750.4-2006《生活饮用水标准检验方法 感官性状和物理指标》(1.1)色度——铂-钴标准比色法5度——
pH值GB/T 5750.4-2006《生活饮用水标准检验方法 感官性状和物理指标》(5.1)pH值——玻璃电极法0.01PHSJ-4F型实验室pH计
臭和味GB/T 5750.4-2006《生活饮用水标准检验方法 感官性状和物理指标》(3.1)臭和味——嗅气和尝味法/——
肉眼可见物GB/T 5750.4-2006《生活饮用水标准检验方法 感官性状和物理指标》(4.1)肉眼可见物——直接观察法/——
浑浊度GB/T 5750.4-2006《生活饮用水标准检验方法 感官性状和物理指标》(2.1)浑浊度——散射法-福尔马肼标准0.5 NTUWGZ-2000浊度计
总硬度(以$ CaCO_{3} $计)GB/T 5750.4-2006《生活饮用水标准检验方法 感官性状和物理指标》(7.1)总硬度——乙二胺四乙酸二钠滴定法1.0 mg/L50mL滴定管
挥发酚类(以苯酚计)GB/T 5750.4-2006《生活饮用水标准检验方法 感官性状和物理指标》(9.1)挥发酚——4-氨基安替吡啉三氯甲烷萃取分光光度法0.002 mg/LL5S紫外可见分光光度计
耗氧量GB/T 5750.7-2006《生活饮用水标准检验方法 有机物综合指标》(1.1)耗氧量——酸性高锰酸钾滴定法0.05 mg/L50mL滴定管
硝酸盐氮(以N计)GB/T 5750.5-2006《生活饮用水标准检验方法 无机非金属指标》(5.2)硝酸盐氮——紫外分光光度法0.2 mg/LL5S紫外可见分光光度计
硫酸盐GB/T 5750.5-2006《生活饮用水标准检验方法 无机非金属指标》(1.4)硫酸盐——铬酸钡分光光度法(冷法)5 mg/LL5S紫外可见分光光度计
氯化物GB/T 5750.5-2006《生活饮用水标准检验方法 无机非金属指标》(2.1)氯化物——硝酸银容量法1.0 mg/L50mL滴定管
阴离子合成洗涤剂GB/T 5750.4-2006《生活饮用水标准检验方法 感官性状和物理指标》(10.1)阴离子合成洗涤剂——亚甲蓝分光光度法0.05 mg/LL5S型紫外可见分光光度计
溶解性总固体GB/T5750.4-2006《生活饮用水标准检验方法 感官性状和物理指标》(8.1)溶解性总固体——称量法1 mg/LBSM224电子天平、101-1A型电热鼓风干燥箱
菌落总数GB/T 5750.12-2006《生活饮用水标准检验方法 微生物指标》(1)菌落总数——平皿计数法/LRH-250A生化培养箱
总大肠菌群GB/T 5750.12-2006《生活饮用水标准检验方法 微生物指标》(2.1)总大肠菌群——多管发酵法/LRH-250A生化培养箱
粪大肠菌群GB/T 5750.12-2006《生活饮用水标准检验方法 微生物指标》(3.1)耐热大肠菌群——多管发酵法/LRH-250A生化培养箱
"} {"image_path": "images/88cbf2d8047a0399778953fa2cf412e6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
事件描述:IEC 标准风力发电机组在 9.5 m/s 风速下正常停机
样本名:IEC 标准风力发电机组在 9.5 m/s 风速下正常停机_偏航_275.tdms
日期:2012 年 6 月 12 日 10 点 50 分 21 秒
测量物理量平均值标准差最小值最大值
轮毂高度处风速/(m/s)9.51.45.913.3
轮毂高度处风向/deg276.69.6259.5299.5
轮毂高度处气温/℃4.60.14.44.7
气压/hPa80.50.080.580.5
电功率/kW606.21155.1−61.24020.1
风轮转速/rpm7.65.31.818.2
桨距角/deg38.424.1−2.067.8
偏航位置/deg275.110.8267.0300.0
叶片 1 挥舞弯矩/(kN·m)−2.68e+021.80e+03−3.07e+035.51e+03
叶片 1 摆振弯矩/(kN·m)2.97e+021.28e+03−1.99e+033.88e+03
叶片 2 挥舞弯矩/(kN·m)−1.31e+021.78e+03−3.01e+035.07e+03
叶片 2 摆振弯矩/(kN·m)4.76e+021.32e+03−1.83e+033.88e+03
风轮扭矩/(kN·m)−2.38e+025.63e+02−7.54e+021.36e+03
风轮俯仰力矩/(kN·m)−2.51e+036.89e+02−3.83e+034.07e+02
风轮偏航力矩/(kN·m)−3.16e+022.30e+02−5.43e+021.29e+03
塔底侧向力矩/(kN·m)−6.74e+012.15e+03−5.01e+036.06e+03
塔底法向力矩/(kN·m)2.23e+031.12e+04−9.66e+034.29e+04
塔顶扭矩/(kN·m)3.47e+022.53e+02−5.54e+021.42e+03
"} {"image_path": "images/09896bc13b21ea59314aa67b4cf41f5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目要求检验方法
食盐 (以NaCl计) /(g/10g) ≤2.0按GB 5009. 44测定
鸡及鸡杂含量/(g/10g) ≥55取一份用精密度0.1g的电子台秤称重, 再挑选出鸡及鸡杂沥水1分钟称重,计算百分比。
模糊辣度/°M1~5按相应的标准检验
"} {"image_path": "images/7a811f29fb2cfe3c27ed53e1f0a5192d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测量$ R_{L}=150\\Omega $$ R_{L}=330\\Omega $
有源二端网络$ U/V $$ I $/mA$ U/V $$ I $/mA
"} {"image_path": "images/704433e2b5b212c47e2420bf3cacf850.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目行次本年累计金额本月金额
一、营业收入1102,944,844.8612,280,196.00
减:营业成本283,595,228.349,917,907.50
营业税金及附加31,157,276.6246,006.08
其中:消费税4
营业税5
城市维护建设税6225,847.5011,286.35
资源税7
土地增值税8
城镇土地使用税、房产税、车船税、9599,641.6826,658.05
教育费附加、矿产资源补偿费、排污10167,219.888,061.68
销售费用111,878,531.92145,684.54
其中:商品修理费12
广告费和业务宣传费13
管理费用1415,264,941.381,189,277.09
其中:开办费15
业务招待费16442,283.7834,368.00
研究费用175,000,179.29495,557.93
财务费用18138,472.44111,799.40
其中:利息费用(收入以“-”号填列)1942,076.87104,830.06
加:投资收益(损失以“-”号填列)20
二、营业利润(亏损以“-”号填列)21910,394.16869,521.39
加:营业外收入22670,995.82400,000.00
其中:政府补助23106,418.56
减:营业外支出24
其中:坏账损失25
无法收回的长期债券投资损失26
无法收回的长期股权投资损失27
自然灾害等不可抗力因素造成的损失28
税收滞纳金29
三、利润总额(亏损总额以“-”号填列)301,581,389.981,269,521.39
减:所得税费用31364,778.09329,694.31
四、净利润(净亏损以“-”号填列)321,216,611.89939,827.08
"} {"image_path": "images/604a51a1c348ffd8028e2a31a3d52f77.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号
Series Number
检测项目
Test Items
技术要求
Requirement
检测结果
Test Results
单项结论
Item Conclusion
备注
Remarks
1包装外观帽盖与管口吻合严密,应无管体破损,无膏体渗漏;盒体应无破损符合要求符合/
2膏体均匀、无异物均匀、无异物符合\t/
3稳定性膏体不溢出管口,不分离出液体, 香味色泽正常符合要求符合/
4pH5.5~10.58.1符合/
5过硬颗粒玻片无划痕玻片无划痕符合/
6铅(Pb)含量, mg/kg$ \\le 10 $<1.5符合/
7砷(As)含量, mg/kg$ \\le 2 $<2符合/
8菌落总数, CFU/g$ \\le 500 $<10符合/
9耐热大肠菌群, /g\t不得检出\t未检出\t符合/
10金黄色葡萄球菌, /g\t不得检出\t未检出符合/
11铜绿假单胞菌, /g\t不得检出未检出符合/
12霉菌和酵母菌总数, CFU/g$ \\le 100 $<10符合/
13标志\t按 GB29337-2012 规定符合要求符合/
"} {"image_path": "images/dee54592a0eee8911090e454827621e6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称医用外科口罩注册证或备案凭证编码豫械注准 20172640053
生产企业名称河南省健琪医疗器械有限公司
代理人名称陈三玲
召回单位负责人和联系方式,经办人和联系方式负责人:田书增 13903736562
经办人:陈三玲 18790559969
产品的适用范围供临床医务人员在有创操作过程中佩带,覆盖住使用者的口、鼻及下颌,为防止病原体微生物、体液、颗粒物等的直接透过提供物理屏障。
涉及地区和国家中国召回级别III 级
涉及产品生产(或进口中国)批次、数量20062602B涉及产品型号、规格平面型
识别信息(如批号)20062602B涉及产品在中国的销售数量20062602B:4000 个
召回原因简述因产品压力差不符合产品技术要求规定。
纠正行动简述(包括召回要求和处理方式等)召回市场上该批号的所有产品,由质检部门对产品性能重新检验。
"} {"image_path": "images/ef9e4b67987b184ae96bdd7b29c701ea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目状态项目分类项目名称合作方式已/预计开业时间
已开业重资产杭州宋城千古情自建1996 年 5 月 18 日
三亚千古情景区自建2013 年 9 月 23 日
丽江千古情景区自建2013 年 3 月 21 日
张家界千古情景区自建2019 年 6 月 28 日
九寨千古情景区合作(持股 80%)2014 年 5 月 1 日
桂林千古情景区合作(持股 70%)2018 年 8 月 8 日
西安千古情景区自建2020 年 6 月 22 日
上海千古情景区合作(持股 88%)2021 年 4 月 29 日
在建重资产西塘宋城演艺谷自建未定
佛山千古情自建预计于 2024 年 2 月 10 日
已开业轻资产炭河古城IP 授权2017 年 7 月 3 日
宜春明月千古情景区IP 授权2018 年 12 月 28 日
郑州黄帝千古情IP 授权2020 年 9 月 19 日
在建轻资产延安千古情景区IP 授权未定
三峡千古情IP 授权暂定 2024 年 5 月 1 日
"} {"image_path": "images/b37710225989d20d525c65ea98bcff06.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目单位标准要求实测结果结论
1果汁(浆)含量(质量分数)%≥1015合格
2感官要求冲调或冲调后具有该产品应有的色泽、香气和滋味,无异味,无外来杂质。符合要求合格
3水分%≤7.05.6合格
4mg/kg≤1.0<0.1合格
5沙门氏菌/25gn=5,c=0,m=0未检出,未检出,未检出,未检出,未检出合格
6金黄色葡萄球菌CFU/gn=5,c=1,m=100,M=1000<10,<10,<10,<10,<10合格
7亮蓝g/kg≤0.025未检出合格
8滴滴涕mg/kg≤0.05<0.01合格
9六六六mg/kg≤0.05<0.01合格
10食品名称(食品标签)按GB7718-2011执行蓝莓冲饮合格
11配料表(食品标签)按GB7718-2011执行蓝莓果粉,白砂糖,麦芽糊精合格
12净含量(食品标签)按GB7718-2011执行10g合格
13制造者名称(食品标签)按GB7718-2011执行大兴安岭至臻尚品寒带生物技术有限公司合格
14制造者地址和联系方式(食品标签)按GB7718-2011执行大兴安岭地区加格达奇区工业园区林产科技园 联系电话:13846589602合格
15生产日期(食品标签)按GB7718-2011执行2017年10月22日合格
16保质期(食品标签)按GB7718-2011执行24个月合格
17储存方法(食品标签)按GB7718-2011执行阴凉避光通风干燥处合格
18产品标准号(食品标签)按GB7718-2011执行GB/T 29602-2013合格
19能量(食品营养标签)kJ/100g按GB 28050-20111479/
"} {"image_path": "images/e8d75f59866323ab438d96b8d9e34cd2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称软性亲水接触镜注册证或备案凭证编码国械注准 20203160418
生产企业名称湖南海普明科技有限公司
代理人名称/
召回单位负责人及联系方式,经办人和联系方式负责人:唐顺初 13830067888
经办人:张铭轩 18107399879
产品的适用范围本产品为日戴型镜片,用于无禁忌症患者矫正近视
涉及地区和国家中国召回级别二级
涉及产品生产(或进口中国)批次、数量批号:A21011401
数量:39167 片
涉及产品型号、规格型号:HC40,
规格:无
识别信息
(如批号)
批号:A21011401
花纹:HA11-H
后顶焦度:-4.00D
涉及产品在中国的销售数量1099 片
召回原因简述我公司接到经销商反馈,部分标识后顶焦度为-4.00D的产品,实际后顶焦度与标识不符;经我公司调查,该问题主要发生在批号为A21011401、后顶焦度为-4.00D的产品上,此类情况虽然对患者造成不良伤害的可能性极小,但影响了产品的正常使用;海普明科技基于保障客户满意宗旨,维护高产品质量标准,决定召回该批号后顶焦度为-4.00D的全部产品。
纠正行动简述(包括召回要求和处理方式)1、立即将召回通知通过微信或电话传达给本次受影响客户;
2、公司召开质量分析会议,该批次产品后顶焦度标识与实际不符,主要为贴标员工工作疏忽导致,已制定纠正、预防措施,对员工进行培训教育,防止此类事件再次发生;
3、针对本次召回的产品,我公司将在检测后统一集中销毁。
"} {"image_path": "images/f417875f82eef5055a4b2985a3cba142.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
货号品名及规格单位数量单价金额备注
合计:$ \\qquad $佰$ \\qquad $拾$ \\qquad $万$ \\qquad $仟$ \\qquad $佰$ \\qquad $拾$ \\qquad $元$ \\qquad $角$ \\qquad $分$ \\quad $¥___
"} {"image_path": "images/cd65d3461cf87d5e22e7a461f14bcb3d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
试验项目要求检验方法检验种类
型式检验抽样检验出厂检验
空载试验5.3.16.2.1
升载试验5.3.16.2.2
连续运转试验5.3.26.2.3
隔膜泵安全阀开启试验5.2.46.2.4
性能试验5.3.36.2.5
额定工况点性能检测5.3.36.2.6
流量标定和计量精度试验调节范围5.3.46.2.7
线性度5.3.46.2.7
稳定性精度5.3.46.2.7
复现性精度5.3.46.2.7
汽蚀性能试验5.3.56.2.8
噪声试验5.3.66.2.9
振动试验5.3.76.2.10
特殊试验5.3.86.2.11
清洁度试验5.2.36.2.12
注:√表示应做的内容;○表示根据特殊情况或生产厂与用户商定;☓表示不做试验。
"} {"image_path": "images/009394c4efbf3ddc1808195fc5aa4297.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
消毒对象物理消毒方法化学消毒方法备注
空气开窗通风每日至少2次;
每次至少30min。
在外界温度适宜、空气质量较好、保障安全性的条件下,应首选持续开窗通风的方式。
采用紫外线杀菌灯进行照 射消毒每日1次,每次持续照射时间30min以上。1.不具备开窗通风空气消毒条件时使用。
2.可使用悬挂式或移动式30W紫外线杀菌灯。按照$ 1.5W/m^{3} $计算紫外线杀菌灯管需要量,安装悬挂式紫外线灯管高度应 距地面2.0m~2.2m。
3.应定期测试紫外线灯管辐照强度,若低于$ 70\\mu W/cm^{2} $则应更换灯管。
4.有人时禁止开启紫外线杀菌灯,以防误伤。
5.采用动态紫外线杀菌空气消毒机在室内有人环境持续消毒时,应使用无臭氧式紫外线杀菌灯。
餐具、 炊具、 水杯煮沸消毒15min或蒸汽消毒10min。1.对食(饮)具进行消毒前应先去掉残渣、清洗干净。
2.物品煮沸消毒时应全部浸没在水中;蒸汽消毒时,被蒸物品应疏松放置,水沸后开始计算时间。
餐具消毒柜、消毒碗柜消毒。按产品说明使用。1.使用符合国家标准规定的产品。
2.保洁柜无消毒作用。不得用保洁柜代替消毒柜进行消毒。
毛巾类织物用洗涤剂清洗干净后,置阳光直接照射下曝晒干燥。曝晒时不得相互叠夹;曝晒时间不低于6h。
煮沸消毒15min或蒸汽消毒10min。煮沸消毒时,被煮物品应全部浸没在水中;蒸汽消毒时,被蒸物品应疏松放置。
"} {"image_path": "images/41a214362cc0446c6293756164eb4ccb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
密封面型式密封面代号$ Ra/\\mu m $$ Rz/\\mu m $
最小最大最小最大
全平面FF3.26.312.550
突面RF
凹凸面FM
榫槽面TG0.83.23.212.5
环连接面RJ0.41.6
对于全平面(FF)、突面(RF)和凹凸面(FM)法兰,密封面一般加工成锯齿形的同心圆或螺旋齿槽,加工刀具的圆角半径应不小于1.5 mm,同心圆或螺旋齿槽的深度约为0.05 mm,节距为0.50 mm~0.56 mm。对于凹凸面(FM)法兰,也可以加工成光面。
"} {"image_path": "images/8b1b204df315b848986384ed6aeab282.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目 指 标
维生素E,mg/g 36.7~74.8
"} {"image_path": "images/ea3b671d17b5e4bdb03fe987e1e581ad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\t
总体物料的单元数 选取的最少单元数
344~394 22
395~450 23
451~512 24
≥513 $ 3\\times \\sqrt[3]{N} $
注:N为总单元数。
"} {"image_path": "images/241e50521e8b47d4c64e3cebf308d516.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编号项目名称国家标准计量单位检测结果
原水
GB3838-2002
出厂水
GB5749-2006
原水出厂水
1色度--≤15151
2臭和味--无异臭、异味
3肉眼可见物--
4浑浊度--≤1NTU2.930.09
5pH6~96.5~8.58.107.95
6二氧化氯--≥0.1mg/L/0.18
7氨氮(以N计)≤1.0≤0.5mg/L<0.025/
8耗氧量(COD/Mn)≤6≤3mg/L1.601.20
9菌落总数--≤100CFU/mL684
10总大肠菌群--不得检出CFU/100mL5未检出
11耐热大肠菌群≤10000个/L不得检出CFU/100mL未检出未检出
备注:
检测方法采用生活饮用水标准检验方法 GB/T5750-2006。
耐热大肠菌群、总大肠菌群培养24小时,当日报 告数据为前一天水样结果,菌落总数培养48小时,当 日报告数据为两天前水样检测结果。
水质评价:
原水所检项目符合国标GB3838-2002,III类标准。
出厂水所检项目符合生活饮用水卫生标准GB 5749-2006。
"} {"image_path": "images/73f393975a94004e58b4ba06430e2656.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目检验结果检测依据
1外观透明,均匀,无悬浮物目测
2运动粘度(100℃)/($ mm^{2}/s $)14.43GB/T 265 - 1988
3粘度指数195GB/T 1995 - 1998
4闪点(开口)/℃223GB/T 3536 - 2008
5倾点/℃-40GB/T 3535 - 2006
6$ \\ast $低温动力粘度(-35℃)/(mPa·s)5510GB/T 6538 - 2010
7$ \\ast $高温剪切黏度(150℃,$ 10^{6}s^{-1} $)/(mPa.s)3.81NB/SH/T 07003 - 2020
8机械杂质(质量分数)/%GB/T 511 - 2010
9水分(体积分数)/%GB/T 260 - 2016
10$ \\ast $蒸发损失/%5.67NB/SH/T 0059 - 2010
以下空白
"} {"image_path": "images/7e3fba9e558c66e9dee4c2e55306f698.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项目检验方法限值检验结果结果判定
1总大肠菌群/(CFU/100mL)GB/T 5750.12-2006中的2.2滤膜法不得检出未检出合格
2耐热大肠菌群/(CFU/100mL)GB/T 5750.12-2006中的3.2滤膜法不得检出未检出合格
3大肠埃希氏菌/(CFU/100mL)GB/T 5750.12-2006中的4.2滤膜法不得检出未检出合格
4菌落总数/(CFU/mL)GB/T 5750.12-2006中的1.1平皿计数法100未检出合格
5砷/(mg/L)GB/T 5750.6-2006中的6.1氢化物原子荧 光法0.010.0033合格
6镉/(mg/L)GB/T 5750.6-2006中的9.1无火焰原子吸 收分光光度法0.005<0.0005合格
7铬/(六价,mg/L)GB/T 5750.6-2006中的10.1二苯碳酰二肼 分光光度法0.05<0.004合格
8铅/(mg/L)GB/T 5750.6-2006中的11.1无火焰原子吸 收分光光度法0.01<0.004合格
9汞/(mg/L)GB/T 5750.6-2006中的8.1原子荧光法0.001$ <1\\times 10^{-4} $合格
10硒/(mg/L)GB/T 5750.6-2006中的7.1氢化物原子荧 光法0.01<0.0010合格
11氰化物/(mg/L)GB/T 5750.5-2006中的4.2异烟酸-巴比妥 酸分光光度法0.05<0.010合格
12氟化物/(mg/L)GB/T 5750.5-2006中的3.2离子色谱法1.00.57合格
13硝酸盐/(以N计,mg/L)GB/T 5750.5-2006中的5.3离子色谱法20<2合格
14三氯甲烷/(mg/L)GB/T 5750.10-2006中的1毛细管柱气相色 谱法0.06$ <2.0\\times 10^{-4} $合格
15四氯化碳/(mg/L)GB/T 5750.8-2006中的1.2毛细管柱气相 色谱法0.002$ <1.0\\times 10^{-4} $合格
16色度/(铂钴色度单位)GB/T 5750.4-2006中的1.1铂-钴标准比色 法15<5合格
17浑浊度/(NTU-散射浊度单位)GB/T 5750.4-2006中的2.1散射法-福尔马 胼标准1<0.5合格
18臭和味GB/T 5750.4-2006中的3.1嗅气和尝味法无异臭、异味无异臭异味合格
19肉眼可见物GB/T 5750.4-2006中的4.1直接观察法未检出合格
20pH/(pH单位)GB/T 5750.4-2006中的5.1玻璃电极法不小于6.5且不大 于8.58.07合格
21铝/(mg/L)GB/T 5750.6-2006中的1.1铬天青S分光光 度法0.2<0.008合格
22铁/(mg/L)GB/T 5750.6-2006中的2.1原子吸收分光 光度法0.3<0.10合格
23锰/(mg/L)GB/T 5750.6-2006中的3.1原子吸收分光 光度法0.1<0.05合格
24铜/(mg/L)GB/T 5750.6-2006中的4.2火焰原子吸收 分光光度法1<0.20合格
25锌/(mg/L)GB/T 5750.6-2006中的5.1原子吸收分光 光度法1<0.05合格
26氯化物/(mg/L)GB/T 5750.5-2006中的2.2离子色谱法25017.6合格
27硫酸盐/(mg/L)GB/T 5750.5-2006中的1.2离子色谱法25053.8合格
28溶解性总固体/(mg/L)GB/T 5750.4-2006中的8.1称量法1000291合格
29总硬度/(以$ CaCO_{3} $计,mg/L)GB/T 5750.4-2006中的7.1乙二胺四乙酸 一钠滴定法450142.4合格
30耗氧量/($ COD_{Mn} $法,以$ O_{2} $计mg/L)GB/T 5750.7-2006中的1.1酸性高锰酸钾 滴定法30.60合格
"} {"image_path": "images/8791741a4660596539b8f9e5caba1ffa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目序号本月数本年累计
一、主营业务收入13,220,463.023,718,393.42
减:主营业务成本22,631,971.613,040,663.63
主营业务税金及附加38,703.949,811.56
二、主营业务利润(亏损以“-”号填列)4579,787.48667,918.23
其他业务收入5
减:其他业务成本6
加:其他业务利润(亏损以“-”号填列)7
减:销售费用8236,688.99281,699.27
管理费用968,347.9075,089.78
财务费用10574.00710.30
三、营业利润(亏损以“-”号填列)11274,176.59310,418.88
加:投资收益(损失以“-”号填列)12
营业外收入13
减:营业外支出14
四、利润总额(亏损总额以“-”号填列)15274,176.59310,418.88
减:所得税1613,708.8315,520.94
五、净利润(净亏损以“-”号填列)17260,467.76294,897.93
"} {"image_path": "images/49d6f3dc8907fe6838260e2066c88006.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号有害物质项目限值(mg/L)检测方法
1总铜0.5原子吸收分光光谱法
二乙基二硫代氨基甲酸钠分光光度法
2总锌2.0原子吸收分光光谱法
双硫腙分光光度法
3总镉0.1原子吸收分光光谱法
4总铅1.0原子吸收分光光谱法
5总铬1.5高锰酸钾氧化-二苯碳酰二肼分光光度法
6铬(六价)0.5二苯碳酰二肼分光光度法
7总汞0.05冷原子吸收分光光度法
8总铍0.005活性炭吸附-铬青R分光光度法
9总镍1.0火焰原子吸收分光光谱法
丁二酮肟分光光度法
10总砷0.5二乙基二硫代氨基甲酸银分光光度法
11总锰2.0高碘酸钾分光光度法
火焰原子吸收分光光度法
"} {"image_path": "images/91e3761b4453e349d284c0a11b258326.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料牌号等级标准编号备注
螺栓、螺柱、螺母常温6.8、8.8、10.9GB/T 3098.1螺栓、螺柱
6、8、10GB/T 3098.2螺母
A2-50、A4-50、A2-70、A4-70GB/T 3098.6螺栓、螺柱
A2-50、A4-50、A2-70、A4-70GB/T 3098.15螺母
06Cr17Ni12Mo2(316)、06Cr19Ni10(304)GB/T 1220螺栓、螺柱
35CrMo、25Cr2MoVGB/T 3077螺栓、螺柱
A193,B8-2、A193,B8M-2、A453,660、30CrMo、42CrMo、A320,L7HG/T 20613、HG/T 20634螺栓、螺柱、螺母
"} {"image_path": "images/f03548694008e543b4faef1c3b997d29.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
部门姓名
借款事由
借款金额(大写) 万 仟 佰 拾 元
预计还款报销日期
部门负责人意见总经理意见副总经理意见借款人签收
"} {"image_path": "images/7c08cbda27107f24bca12042e8e08b94.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检测项目检测结果GB 5749-2006
《生活饮用水卫生标准》
限值
判定
15四氯化碳,mg/L<0.000210.002符合
16溴酸盐(使用臭氧时),mg/L<0.0050.01符合
17甲醛(使用臭氧时),mg/L<0.050.9符合
18亚氯酸盐(使用二氧化氯消毒时),mg/L<0.00240.7符合
19氯酸盐(使用二氧化氯消毒时),mg/L<0.00500.7符合
20色度,度<515符合
21浑浊度,NTU<0.51 水源与净水技术条件限制时为3符合
22臭和味无异臭、异味无异臭、异味符合
23肉眼可见物符合
24pH值7.11不小于6.5且不大于8.5符合
25铝,mg/L<0.0400.2符合
26铁,mg/L<0.00450.3符合
27锰,mg/L<0.00050.1符合
28铜,mg/L<0.0091.0符合
29锌,mg/L<0.0011.0符合
30氯化物,mg/L8.02250符合
31硫酸盐,mg/L10.4250符合
32溶解性总固体,mg/L791000符合
33总硬度(以$ CaCO_{3} $计),mg/L55450符合
34耗氧量(以$ O_{2} $计),mg/L0.563 水源限制,原水耗氧量>6mg/L时为5符合
"} {"image_path": "images/b3b2367425d3974faf8d8e2b04a6d14b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
属性类型含义
node_typeUNSIGNED8由应用指示的节点的类型
node_versionUNSIGNED8由应用指示的节点版本
"} {"image_path": "images/8fd4089e70af339c2e1878d3d7f36c83.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "\t\t\t
活塞销直径 $ d_{12} $ 圆度和圆柱度
≤50 0.03
50~75 0.04
75~100
100~125 0.05
125~150
150~1750.06
175~200
200~250 0.07
>250 0.08
"} {"image_path": "images/9ac3eafc7c6756a3a05d697096368ea9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验项目章条不合格类别样品数量/个
(合格判定数,不合格判定数)
外观6.1C1,(0/1)
尺寸6.2B
螺纹连接6.3
密封性6.4
耐压性6.5
流量6.6
抗拉伸性6.7B1,(0/1)
抗脉冲性6.8
抗弯曲性6.9
耐冷热循环性6.10
耐老化性6.11
表面耐腐蚀6.12
有害物析出限量6.13A重金属:样品数量为 3 个,铅取 Q 值、非铅元素取 3 个样品标准化浓度的几何平均值,按表 A.1 判定
有机化合物:样品数按 B.2 确定,取标准化浓度值,按表 A.1 和表 A.2 判定
"} {"image_path": "images/1bd1fc3f610366a97257576882fafcb4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
负载速度$ \\text{位姿}^{a} $循环时间
100%额定负载100%额定速度
50%额定速度
10%额定速度
节拍最优的位姿或$ E_{1}—E_{4}—E_{3}—E_{2} $[与GB/T 12642—2013要求过原点的平面$ E_{1} $、$ E_{2} $、$ E_{3} $、$ E_{4} $距离平面各顶点的距离为该平面对角线长度的(10±2)%不同,在臂展可达的情况下应覆盖典型的长度为$ 25 mm(E_{1}E_{2})—300 mm(E_{4}E_{3})—25 mm(E_{3}E_{2}) $、$ 100 mm(E_{1}E_{2})—800 mm(E_{4}E_{3})—100 mm(E_{3}E_{2}) $]连续运行120 h
10%额定负载(选用)100%额定速度
50%额定速度
10%额定速度
连续运行120 h
$ ^{a} \\ E_{1} $、$ E_{2} $、$ E_{3} $、$ E_{4} $按GB/T 12642—2013图6。
"} {"image_path": "images/60978351e221e0f58f7ad627f523cde4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目本期金额上期金额
一、经营活动产生的现金流量:
销售商品、提供劳务收到的现金397,962,206.22525,690,845.41
收到的税费返还3,268,346.20 #
收到其他与经营活动有关的现金6,148,013.85 #9,273,765.65
经营活动现金流入小计407,378,566.27534,964,611.06
购买商品、接受劳务支付的现金210,564,470.77 #419,588,714.88
支付给职工以及为职工支付的现金66,218,330.09 #69,974,372.25
支付的各项税费28,640,621.05 #28,501,978.33
支付其他与经营活动有关的现金16,577,580.21 #15,613,067.52
经营活动现金流出小计322,001,002.12533,678,132.98
经营活动产生的现金流量净额85,377,564.151,286,478.08
二、投资活动产生的现金流量:
收回投资所收到的现金47,256,402.00 #50,000,000.00
取得投资收益收到的现金2,270,089.52 #776,657.53
处置固定资产、无形资产和其他长期资产收回的现金净额590,536.12 #1,401,104.78
处置子公司及其他营业单位收到的现金净额
收到其他与投资活动有关的现金
投资活动现金流入小计50,117,027.6452,177,762.31
购建固定资产、无形资产和其他长期资产支付的现金12,462,167.72 #45,143,500.95
投资支付的现金133,900.00 #90,000,000.00
取得子公司及其他营业单位支付的现金净额20,000,000.00 #32,900,000.00
支付其他与投资活动有关的现金168,795,307.39 #272,564,515.74
投资活动现金流出小计201,391,375.11440,608,016.69
投资活动产生的现金流量净额-151,274,347.47-388,430,254.38
三、筹资活动产生的现金流量:
吸收投资收到的现金351,509,417.72
取得借款收到的现金137,400,000.00
收到其他与筹资活动有关的现金#67,316,392.73
筹资活动现金流入小计137,400,000.00 #418,825,810.45
偿还债务支付的现金48,816,392.73 #84,302,359.92
分配股利、利润或偿付利息支付的现金18,043,902.78 #18,804,066.32
支付其他与筹资活动有关的现金175,000.00 #1,201,225.00
筹资活动现金流出小计67,035,295.51 #104,307,651.24
筹资活动产生的现金流量净额70,364,704.49314,518,159.21
四、汇率变动对现金及现金等价物的影响
五、现金及现金等价物净增加额4,467,921.17-72,625,617.09
加:期初现金及现金等价物余额215,211,965.28287,837,582.37
六、期末现金及现金等价物余额219,679,886.45215,211,965.28
"} {"image_path": "images/b5fe1bac628d803869b67a08c3ce8eaf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称类型说明
gnssLocInfoGNSSLocInfoGNSS信息,见C.13
"} {"image_path": "images/6534353d7385b936bd9a416ad2eebc1b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目注释号行次2023年12月31日2022年12月31日
流动资产:
货币资金1137,652,578.96183,975,448.22
交易性金融资产2772,630.002,134,300.00
衍生金融资产3--
应收票据4414,760.00795,133.64
应收账款十六(一)5394,888,729.47290,036,989.76
应收款项融资633,618,931.4033,355,349.09
预付款项74,178,047.377,422,888.24
其他应收款十六(二)8641,597.833,150,385.11
其中:应收利息9--
应收股利10--
存货11374,812,328.74311,239,040.19
合同资产12--
持有待售资产13--
一年内到期的非流动资产14--
其他流动资产1520,599,970.807,993,891.91
流动资产合计16967,579,574.57840,103,426.16
非流动资产:
债权投资17--
其他债权投资18--
长期应收款19--
长期股权投资十六(三)20284,207,000.00284,207,000.00
其他权益工具投资21--
其他非流动金融资产22--
投资性房地产2396,974,956.3899,381,971.62
固定资产24528,220,853.88568,568,392.53
在建工程2537,762,099.5113,476,231.68
生产性生物资产26--
油气资产27--
使用权资产28--
无形资产2938,148,000.0839,684,505.14
开发支出30--
商誉31--
长期待摊费用32688,159.302,404,359.72
递延所得税资产3316,412,544.7813,763,241.83
其他非流动资产34308,634,613.70-
非流动资产合计351,311,048,227.631,021,485,702.52
资产总计362,278,627,802.201,861,589,128.68
"} {"image_path": "images/1516d0e8733d8a647a20fb6afbf089e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目注释2021年度2020年度
一、营业收入六、2093,344,391.3884,989,189.26
减:营业成本六、2074,472,847.6869,192,619.21
税金及附加70,213.11256,932.33
销售费用-1,140,399.06
管理费用10,315,596.378,508,562.51
研发费用8,073,731.455,663,421.25
财务费用六、21292,163.67751,387.62
其中:利息费用158,996.1260,617.17
利息收入3,115.323,190.24
加:其他收益六、22188,500.00702,660.75
投资收益(损失以“-”号填列)--
公允价值变动收益(损失以“-”号填列)--
信用减值损失(损失以“-”号填列)--
资产减值损失(损失以“-”号填列)--
资产处置收益(损失以“-”号填列)--
二、营业利润(亏损以“-”号填列)308,339.10178,528.03
加:营业外收入六、2343,645.483,477.63
减:营业外支出六、2424,037.225,886.43
三、利润总额(亏损总额以“-”号填列)327,947.36176,119.23
减:所得税费用--
四、净利润(净亏损以“-”号填列)327,947.36176,119.23
(一)持续经营净利润(净亏损以“-”号填列)327,947.36176,119.23
(二)终止经营净利润(净亏损以“-”号填列)
五、其他综合收益的税后净额--
(一)以后不能重分类进损益的其他综合收益
(二)以后将重分类进损益的其他综合收益
六、综合收益总额327,947.36176,119.23
"} {"image_path": "images/c396aa96186ac9bff1a84da0d4a25e7b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注十五本期金额上期金额
一、营业收入(六)15,733,786,130.3716,831,347,370.99
减:营业成本(六)13,258,617,838.6514,400,731,364.13
税金及附加62,160,396.0875,228,724.00
销售费用220,525,589.33263,093,271.77
管理费用435,971,390.66454,296,241.28
研发费用566,550,997.86605,513,037.14
财务费用666,853,709.28437,077,126.44
其中:利息费用568,472,344.44392,965,145.43
利息收入93,962,820.3726,168,400.05
加:其他收益116,027,893.38107,906,950.59
投资收益(损失以“-”号填列)(七)2,639,092,242.441,468,731,927.26
其中:对联营企业和合营企业的投资收益12,853.19109,120.83
以摊余成本计量的金融资产终止确认收益
净敞口套期收益(损失以“-”号填列)
公允价值变动收益(损失以“-”号填列)699,331.9010,274,991.90
信用减值损失(损失以“-”号填列)296,362,887.92-25,767,719.04
资产减值损失(损失以“-”号填列)-302,148,339.98
资产处置收益(损失以“-”号填列)15,029,445.44-40,095.05
二、营业利润(亏损以“-”号填列)3,590,318,009.591,854,359,321.91
加:营业外收入6,062,342.833,223,529.91
减:营业外支出8,952,477.8928,498,754.13
三、利润总额(亏损总额以“-”号填列)3,587,427,874.531,829,084,097.69
减:所得税费用58,320,229.6221,419,469.64
四、净利润(净亏损以“-”号填列)3,529,107,644.911,807,664,628.05
(一)持续经营净利润(净亏损以“-”号填列)3,529,107,644.911,807,664,628.05
(二)终止经营净利润(净亏损以“-”号填列)
五、其他综合收益的税后净额
(一)不能重分类进损益的其他综合收益
1. 重新计量设定受益计划变动额
2. 权益法下不能转损益的其他综合收益
3. 其他权益工具投资公允价值变动
4. 企业自身信用风险公允价值变动
(二)将重分类进损益的其他综合收益
1. 权益法下可转损益的其他综合收益
2. 其他债权投资公允价值变动
3. 金融资产重分类计入其他综合收益的金额
4. 其他债权投资信用减值准备
5. 现金流量套期储备
6. 外币财务报表折算差额
7. 其他
六、综合收益总额3,529,107,644.911,807,664,628.05
七、每股收益:
(一)基本每股收益(元/股)
(二)稀释每股收益(元/股)
"} {"image_path": "images/eb29f2c846dc8a0f0941adbab1e0c67d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目行次本月金额本年累计金额
一、营业收入111077216.6651780676.78
减:营业成本29949537.744709449.85
营业税金及附加36515.2142937.71
其中:消费税400
营业税500
城市维护建设税61374.2517485.27
资源税700
土地增值税800
城镇土地使用税、房产税、车船税、印93766.717967.21
教育费附加、矿产资源补偿费、排污费101374.2517485.23
销售费用1100
其中:商品维修费1200
广告费和业务宣传费1300
管理费用141189028.444553283.63
其中:开办费1500
业务招待费162500075623
研究费用1700
财务费用1881033.12491622
其中:利息费用(收入以“-”号填列)1979045.18449100.71
加:投资收益(损失以“-”号填列)2000
二、营业利润(亏损以“-”号填列)21-148897.811983383.59
加:营业外收入224000132730.16
其中:政府补助23038726.87
减:营业外支出2400
其中:坏账损失2500
无法收回的长期债券投资损失2600
无法收回的长期股权投资损失2700
自然灾害等不可抗力因素造成的损失2800
税收滞纳金2900
三、利润总额(亏损总额以“-”号填列)30-144897.812116113.75
减:所得税费用3100
四、净利润(亏损以“-”号填列)32-144897.812116113.75
"} {"image_path": "images/24cef1da2a05563f90ca69dcc4f8b35e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
材料类别锻件铸件板材
C-Si--ASTM A515 $ Gr.60^{a} $
C-Mn-SiASTM A350 Gr.LF1 $ Cl.1^{a} $-ASTM A516 $ Gr.60^{a.b} $
温度/℃公称压力 Class
1503006009001 5002 500
最大允许工作压力/MPa
-29~381.634.268.5112.7721.2835.46
501.604.188.3512.5320.8934.81
1001.493.887.7711.6519.4232.36
1501.443.767.5111.2718.7831.30
2001.383.647.2810.9218.2130.34
2501.213.496.9810.4717.4629.10
3001.023.326.649.9516.5927.65
3250.933.226.459.6716.1226.86
3500.843.126.259.3715.6226.04
3750.743.046.079.1115.1825.30
4000.652.935.878.8014.6724.45
4250.552.585.157.7312.8821.47
4500.462.144.276.4110.6817.80
4750.371.412.824.237.0511.74
5000.281.032.063.095.158.59
5380.140.591.181.772.954.92
$ ^{a} $ 当长期暴露在 425℃以上温度时,钢中的碳化相可能转变为石墨。允许但不推荐长期在 425℃以上使用。
$ ^{b} $ 不得用于 455℃以上。
"} {"image_path": "images/badb7894a8431ed9dff31e1cc47fd799.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目注释号本期数上年同期数
一、营业收入1384,111,218.39495,485,009.89
减:营业成本1276,489,381.86357,782,629.29
税金及附加1,450,030.002,184,598.62
销售费用7,608,717.058,343,683.12
管理费用23,033,696.2415,670,429.69
研发费用218,159,277.7616,520,826.22
财务费用-11,017,450.83-5,362,600.75
其中:利息费用74,776.60
利息收入9,706,435.98654,962.76
加:其他收益7,661,094.001,399,227.23
投资收益(损失以“-”号填列)33,525,641.966,500,166.81
其中:对联营企业和合营企业的投资收益
以摊余成本计量的金融资产终止确认收益
净敞口套期收益(损失以“-”号填列)
公允价值变动收益(损失以“-”号填列)
信用减值损失(损失以“-”号填列)-2,170,454.93373,748.15
资产减值损失(损失以“-”号填列)64,128.17-208,536.96
资产处置收益(损失以“-”号填列)4,302.0740,828,415.48
二、营业利润(亏损以“-”号填列)77,472,277.58149,238,464.41
加:营业外收入10,308,574.4253,704,854.91
减:营业外支出26,543.51719,266.93
三、利润总额(亏损总额以“-”号填列)87,754,308.49202,224,052.39
减:所得税费用10,345,440.5428,194,943.14
四、净利润(净亏损以“-”号填列)77,408,867.95174,029,109.25
(一)持续经营净利润(净亏损以“-”号填列)77,408,867.95174,029,109.25
(二)终止经营净利润(净亏损以“-”号填列)
五、其他综合收益的税后净额
(一)不能重分类进损益的其他综合收益
1.重新计量设定受益计划变动额
2.权益法下不能转损益的其他综合收益
3.其他权益工具投资公允价值变动
4.企业自身信用风险公允价值变动
5.其他
(二)将重分类进损益的其他综合收益
1.权益法下可转损益的其他综合收益
2.其他债权投资公允价值变动
3.金融资产重分类计入其他综合收益的金额
4.其他债权投资信用减值准备
5.现金流量套期储备
6.外币财务报表折算差额
7.其他
六、综合收益总额77,408,867.95174,029,109.25
七、每股收益:
(一)基本每股收益1.253.59
(二)稀释每股收益1.253.59
"} {"image_path": "images/814f1f94d3bbdc5ac64cc4828f1042a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目注释2021年12月31日2020年12月31日
流动负债:
短期借款六、111,500,000.00-
交易性金融负债--
衍生金融负债--
应付票据--
应付账款六、129,191,412.6410,490,553.21
预收款项--
合同负债
应付职工薪酬六、131,447,159.411,021,796.74
应交税费六、1490,082.9083,447.51
其他应付款130,981.10103,054.60
持有待售负债-
一年内到期的非流动负债六、152,089,403.53-
其他流动负债--
流动负债合计14,449,039.5811,698,852.06
非流动负债:
长期借款--
应付债券--
租赁负债六、16--
长期应付款--
预计负债--
递延收益--
递延所得税负债--
其他非流动负债--
非流动负债合计--
负债合计14,449,039.5811,698,852.06
所有者权益:
实收资本六、176,383,145.006,383,145.00
其他权益工具
资本公积--
其他综合收益--
盈余公积六、18383,931.17383,931.17
未分配利润六、19897,143.05569,195.69
所有者权益合计7,664,219.227,336,271.86
负债和所有者权益总计22,113,258.8019,035,123.92
"} {"image_path": "images/f1c2474dc49b3650674de1142053ac44.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产注释号期末数上年年末数负债和所有者权益注释号期末数上年年末数
流动资产:流动负债:
货币资金410,115,266.01375,377,072.69短期借款
交易性金融资产交易性金融负债
衍生金融资产衍生金融负债
应收票据应付票据
应收账款124,083,135.794,466,856.88应付账款14,366,628.9816,172,294.54
应收款项融资22,387,564.3636,370,491.91预收款项
预付款项1,396,079.179,157,972.55合同负债41,838,329.6569,342,139.93
其他应收款22,648,915.882,066,049.00应付职工薪酬5,807,453.785,586,461.35
存货55,884,005.9569,642,386.31应交税费6,410,230.8122,305,278.40
合同资产11,314,970.737,572,681.16其他应付款1,244,801.50991,256.59
持有待售资产持有待售负债
一年内到期的非流动资产一年内到期的非流动负债396,879.73
其他流动资产其他流动负债5,438,982.869,014,478.19
流动资产合计527,829,937.89504,653,510.50流动负债合计75,503,307.31123,411,909.00
非流动负债:
长期借款
应付债券
其中:优先股
永续债
租赁负债909,861.601,252,441.55
非流动资产:长期应付款
债权投资长期应付职工薪酬
其他债权投资预计负债
长期应收款递延收益
长期股权投资3822,100,007.99208,056,204.28递延所得税负债322,305.20248,113.78
其他权益工具投资其他非流动负债
其他非流动金融资产非流动负债合计1,232,166.801,500,555.33
投资性房地产负债合计76,735,474.11124,912,464.33
固定资产11,375,721.7613,184,221.23所有者权益(或股东权益):
在建工程109,500.001,739,538.40实收资本(或股本)64,666,800.0048,500,000.00
生产性生物资产其他权益工具
油气资产其中:优先股
使用权资产1,257,109.841,674,167.21永续债
无形资产2,367,314.60资本公积899,569,070.23227,367,106.23
开发支出减:库存股
商誉其他综合收益
长期待摊费用681,366.38235,849.06专项储备5,983,371.435,593,593.49
递延所得税资产1,191,863.02795,026.06盈余公积31,990,886.8024,250,000.00
其他非流动资产582,614.93未分配利润288,549,833.84299,715,352.69
非流动资产合计839,665,498.52225,685,006.24所有者权益合计1,290,759,962.30605,426,052.41
资产总计1,367,495,436.41730,338,516.74负债和所有者权益总计1,367,495,436.41730,338,516.74
"} {"image_path": "images/6ad3f5044759c993c90c835425def47f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\underline{资产} $$ \\underline{附注十七} $$ \\underline{\\text{2023年12月31日}} $$ \\underline{\\text{2022年12月31日}} $
流动资产
货币资金3,180,530,855.303,353,537,079.48
结算备付金249,391.51230,752.34
交易性金融资产410,211,716.19203,121,240.81
应收账款187,206,124.85259,092,161.92
预付款项20,296,727.3919,254,825.60
其他应收款2915,072,708.9487,740,525.19
一年内到期的非流动资产3387,570,264.67-
其他流动资产$ \\underline{671,003.52} $$ \\underline{1,464,654.83} $
流动资产合计$ \\underline{5,001,808,792.37} $$ \\underline{3,924,441,240.17} $
非流动资产
长期股权投资444,337,060,550.4144,147,779,819.26
其他非流动金融资产109,416,285.83110,420,377.71
固定资产1,129,328,988.141,235,733,031.07
在建工程10,358,694.294,076,986.27
使用权资产16,700,800.0031,961,382.21
无形资产7,020,729.589,340,084.27
长期待摊费用14,638,717.9714,069,416.57
其他非流动资产$ \\underline{400,000,000.00} $$ \\underline{559,802,982.18} $
非流动资产合计$ \\underline{46,024,524,766.22} $$ \\underline{46,113,184,079.54} $
资产总计5$ \\underline{1,026,333,558.59} $$ \\underline{50,037,625,319.71} $
"} {"image_path": "images/c74a314f6e6be47005053b718d32c5c6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产附注五期末余额上年年末余额
流动资产:
货币资金(一)3,976,658,603.354,047,281,218.56
结算备付金
拆出资金
交易性金融资产(二)456,326.00
衍生金融资产
应收票据(三)2,067,721,754.732,306,946,873.27
应收账款(四)5,302,117,378.485,372,732,103.15
应收款项融资(五)1,147,297,183.20796,631,304.22
预付款项(六)418,626,122.27400,628,612.05
应收保费
应收分保账款
应收分保合同准备金
其他应收款(七)489,523,946.03133,134,052.22
买入返售金融资产
存货(八)5,549,367,624.965,164,490,333.76
合同资产
持有待售资产
一年内到期的非流动资产(九)107,566.37
其他流动资产(十)1,548,143,509.651,473,922,375.26
流动资产合计20,500,020,015.0419,695,766,872.49
非流动资产:
发放贷款和垫款(十一)34,147,100.1460,284,268.00
债权投资
其他债权投资
长期应收款(十二)18,816,530.27
长期股权投资(十三)804,334,458.161,233,993,896.65
其他权益工具投资
其他非流动金融资产(十四)218,828,347.37223,683,035.00
投资性房地产(十五)1,292,888,525.2657,206,002.92
固定资产(十六)12,031,283,127.2711,886,193,839.17
在建工程(十七)13,322,299,557.008,482,556,167.56
生产性生物资产
油气资产
使用权资产(十八)70,261,146.6374,148,591.38
无形资产(十九)3,444,121,023.933,046,811,907.95
开发支出
商誉(二十)276,569,462.59333,824,226.61
长期待摊费用(二十一)374,318,883.75183,182,912.92
递延所得税资产(二十二)507,868,097.67226,707,869.39
其他非流动资产(二十三)2,532,908,823.392,795,662,515.78
非流动资产合计34,928,645,083.4328,604,255,233.33
资产总计55,428,665,098.4748,300,022,105.82
"} {"image_path": "images/ed8bc771161ed6abd453df64a2d9e01c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
会计年度2022A2023A2024E2025E2026E
经营活动现金流5,6386,1696,6676,5124,570
净利润4,4174,5044,9365,2695,705
折旧摊销1,2721,2341,2781,3121,100
财务费用578413300262257
投资损失-586-648-480-509-534
营运资金变动-435640602156-1,985
其它39226322127
投资活动现金流-518-791-306-278-252
资本支出-594-839-787-787-787
长期投资00000
其他7648480509534
筹资活动现金流-2,522-8,981-2,839-2,385-2,872
吸收投资00000
借款4,7691,150-7005050
支付利息或股息-1,047-3,745-1,800-2,262-2,757
现金净增加额2,598-3,6033,5223,8491,446
"} {"image_path": "images/bd79477c7625773f0d6ce69c8b923844.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目本期金额上期金额
一、营业收入540,599,700.77357,509,033.58
减:营业成本409,472,366.28276,626,900.98
税金及附加1,986,040.47693,120.32
销售费用8,733,504.734,669,080.14
管理费用23,366,041.2220,138,632.11
研发费用36,711,672.7716,291,600.42
财务费用3,254,960.86-1,012,163.51
其中:利息费用2,129,491.931,614,307.78
利息收入939,122.412,817,845.58
加:其他收益4,708,376.111,006,740.54
投资收益(损失以“-”号填列)24,334.6519,629.66
其中:对联营企业和合营企业的投资收益--
以摊余成本计量的金融资产终止确认收益(损失以“-”号填列)--
净敞口套期收益(损失以“-”号填列)--
公允价值变动收益(损失以“-”号填列)--
信用减值损失(损失以“-”号填列)5,229,941.86-2,754,282.09
资产减值损失(损失以“-”号填列)-508,765.94392,006.62
资产处置收益(损失以“-”号填列)--
二、营业利润(亏损以“-”号填列)66,529,001.1238,765,957.85
加:营业外收入35,621.94100,324.42
减:营业外支出10,407.3087,924.17
三、利润总额(亏损总额以“-”号填列)66,554,215.7638,778,358.10
减:所得税费用5,887,552.883,288,287.59
四、净利润(净亏损以“-”号填列)60,666,662.8835,490,070.51
五、其他综合收益的税后净额--
六、综合收益总额60,666,662.8835,490,070.51
归属于母公司所有者的综合收益总额60,666,662.8835,490,070.51
$ \\ast $归属于少数股东的综合收益总额--
七、每股收益:
(一)基本每股收益--
(二)稀释每股收益--
"} {"image_path": "images/48ff047908d4cfd713ba243143d507c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
商誉其他综合收益
长期待摊费用2,998,500.123,361,636.99专项储备
递延所得税资产4,215,837.673,637,527.08盈余公积31,079,757.5226,559,082.60
其他非流动资产6,802,097.746,328,970.09未分配利润213,362,075.66194,245,418.21
非流动资产合计345,039,829.61232,230,060.28所有者权益合计893,498,177.54869,860,845.17
资产总计1,061,024,633.90970,246,423.13负债和所有者权益总计1,061,024,633.90970,246,423.13
"} {"image_path": "images/38acbb17fbef57bf77553589d9e83e60.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\underline{2022年度} $股本其他权益工具资本公积盈余公积未分配利润股东权益合计
一、2022年1月1日余额$ \\underline{10,366,327,855.00} $$ \\underline{1,956,432,160.45} $$ \\underline{13,451,682,646.86} $$ \\underline{908,725,824.08} $$ \\underline{6,445,854,628.98} $$ \\underline{33,129,023,115.37} $
二、2022年增减变动金额2,847,834,689.00(1,956,432,160.45)12,613,047,933.37301,578,886.601,833,265,809.8115,639,295,158.33
(一)综合收益总额----3,015,788,866.013,015,788,866.01
(二)股东投入和减少资本645,474,265.00(1,956,432,160.45)14,815,408,357.37--13,504,450,461.92
1. 可转换公司债券转股645,474,265.00(1,956,432,160.45)14,762,682,805.37--13,451,724,909.92
2. 股份支付计入股东权益的金额--52,725,552.00--52,725,552.00
(三)利润分配---301,578,886.60(1,182,523,056.20)(880,944,169.60)
1. 提取盈余公积---301,578,886.60(301,578,886.60)-
2. 对股东的分配----(880,944,169.60)(880,944,169.60)
(四)股东权益内部结转2,202,360,424.00-(2,202,360,424.00)---
1. 资本公积转增股本$ \\underline{2,202,360,424.00} $$ \\underline{-} $$ \\underline{(2,202,360,424.00)} $$ \\underline{-} $$ \\underline{-} $$ \\underline{-} $
三、2022年12月31日余额$ \\underline{13,214,162,544.00} $$ \\underline{-} $$ \\underline{26,064,730,580.23} $$ \\underline{1,210,304,710.68} $$ \\underline{8,279,120,438.79} $$ \\underline{48,768,318,273.70} $
"} {"image_path": "images/e2c25aaf6d6fc9875c21ab12bce10f17.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注2021年12月31日2021年4月1日2020年12月31日
流动负债:
短期借款6.231,721,898,914.821,955,443,134.171,965,443,134.17
交易性金融负债
衍生金融负债
应付票据6.242,228,881,751.601,678,687,548.751,678,687,548.75
应付账款6.254,208,679,750.204,636,890,964.954,636,890,964.95
预收款项6.261,433,278.981,883,474.951,883,474.95
合同负债6.272,398,213,123.092,076,079,331.312,076,079,331.31
应付职工薪酬6.28298,784,526.75735,837,076.80735,837,076.80
应交税费6.29532,193,106.32790,411,608.98790,411,608.98
其他应付款6.30990,365,983.462,585,252,684.202,585,252,684.20
其中:应付利息439,125.00439,125.00
应付股利86,490,742.0486,490,742.0486,490,742.04
持有待售负债
一年内到期的非流动负债6.31100,659,954.84993,940,541.36917,928,974.00
其他流动负债6.32237,214,768.08248,162,846.49248,162,846.49
流动负债合计12,718,325,158.1415,712,589,211.9615,636,577,644.60
非流动负债:
长期借款6.3389,600,000.0036,600,000.0036,600,000.00
应付债券
其中:优先股
永续债
租赁负债6.34170,030,084.42129,605,924.35
长期应付款6.35648,890,486.44656,157,151.25656,157,151.25
长期应付职工薪酬6.364,475,809.704,892,497.074,892,497.07
预计负债6.374,190,474.354,796,514.184,796,514.18
递延收益6.38199,181,907.46234,518,419.30234,518,419.30
递延所得税负债6.2122,322,325.76299,954,050.76299,954,050.76
其他非流动负债6.391,931,554.361,931,554.361,931,554.36
非流动负债合计1,140,622,642.491,368,456,111.271,238,850,186.92
负债合计13,858,947,800.6317,081,045,323.2316,875,427,831.52
股东权益:
股本6.401,282,715,242.001,277,403,317.001,277,403,317.00
其他权益工具
其中:优先股
永续债
资本公积6.4118,126,393,630.2217,655,344,607.5517,655,344,607.55
减:库存股6.421,807,904,769.041,807,904,769.04
其他综合收益6.432,513,802.6571,232.3971,232.39
专项储备
盈余公积6.442,530,458,968.582,086,406,807.762,086,406,807.76
未分配利润6.4516,284,055,265.4418,841,228,817.3918,841,228,817.39
归属于母公司股东权益合计38,226,136,908.8938,052,550,013.0538,052,550,013.05
少数股东权益207,680,936.70291,470,398.43291,470,398.43
股东权益合计38,433,817,845.5938,344,020,411.4838,344,020,411.48
负债和股东权益总计52,292,765,646.2255,425,065,734.7155,219,448,243.00
"} {"image_path": "images/4b077ba91cac1b8032dff9a441865be1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注2021年12月31日2021年1月1日2020年12月31日
流动负债:
短期借款150,000,000.00150,000,000.00
交易性金融负债
衍生金融负债
应付票据2,308,950.722,308,950.72
应付账款3,010,413,567.964,472,410,903.264,472,410,903.26
预收款项
合同负债1,864,057,590.441,442,366,128.861,442,366,128.86
应付职工薪酬159,268,914.05606,188,653.73606,188,653.73
应交税费320,728,059.54537,888,741.22537,888,741.22
其他应付款4,047,347,596.765,981,265,969.725,981,265,969.72
其中:应付利息85,416.6785,416.67
应付股利86,490,742.0486,490,742.0486,490,742.04
持有待售负债
一年内到期的非流动负债16,005,538.55947,504,810.54912,928,974.00
其他流动负债191,344,629.94187,536,861.22187,536,861.22
流动负债合计9,609,165,897.2414,327,471,019.2714,292,895,182.73
非流动负债:
长期借款1,100,000.001,100,000.001,100,000.00
应付债券
其中:优先股
永续债
租赁负债228,246,421.80244,384,278.01
长期应付款648,890,486.44656,157,151.25656,157,151.25
长期应付职工薪酬
预计负债
递延收益97,301,312.68116,057,641.48116,057,641.48
递延所得税负债14,872,292.80255,919,667.45255,919,667.45
其他非流动负债1,931,554.361,931,554.361,931,554.36
非流动负债合计992,342,068.081,275,550,292.551,031,166,014.54
负债合计10,601,507,965.3215,603,021,311.8215,324,061,197.27
股东权益:
股本1,282,715,242.001,277,403,317.001,277,403,317.00
其他权益工具
其中:优先股
永续债
资本公积18,401,967,020.1317,930,345,139.0917,930,345,139.09
减:库存股1,807,904,769.041,807,904,769.04
其他综合收益1,601,232.51-848,460.16-848,460.16
专项储备
盈余公积2,529,297,618.082,085,245,457.262,085,245,457.26
未分配利润5,720,640,713.516,640,914,214.166,640,914,214.16
股东权益合计27,936,221,826.2326,125,154,898.3126,125,154,898.31
负债和股东权益总计38,537,729,791.5541,728,176,210.1341,449,216,095.58
"} {"image_path": "images/802e2bbf4846235fef639f9c13a8d696.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目注释号本期数上年同期数
一、营业收入11,628,176,479.982,456,264,837.40
减:营业成本11,394,553,597.071,808,582,842.47
税金及附加6,624,495.465,737,024.83
销售费用151,722,729.98191,402,826.95
管理费用86,858,848.6866,920,492.01
研发费用273,704,962.5583,992,888.30
财务费用-2,023,886.2960,106.60
其中:利息费用57,404,254.7245,064,683.69
利息收入57,450,623.0349,876,614.52
加:其他收益12,934,455.0030,503,660.34
投资收益(损失以“-”号填列)3216,876.68-3,767,155.13
其中:对联营企业和合营企业的投资收益-299,853.41
以摊余成本计量的金融资产终止确认收益-9,509,521.22-13,736,165.05
净敞口套期收益(损失以“-”号填列)
公允价值变动收益(损失以“-”号填列)
信用减值损失(损失以“-”号填列)-110,811,343.60-251,102,547.12
资产减值损失(损失以“-”号填列)-26,810,484.61
资产处置收益(损失以“-”号填列)-46,722.62-73,561.98
二、营业利润(亏损以“-”号填列)-207,781,486.6275,129,052.35
加:营业外收入3,001.552,000.66
减:营业外支出2,565,169.561,695,246.13
三、利润总额(亏损总额以“-”号填列)-210,343,654.6373,435,806.88
减:所得税费用-34,588,750.011,369,820.63
四、净利润(净亏损以“-”号填列)-175,754,904.6272,065,986.25
(一)持续经营净利润(净亏损以“-”号填列)-175,754,904.6272,065,986.25
(二)终止经营净利润(净亏损以“-”号填列)
五、其他综合收益的税后净额
(一)不能重分类进损益的其他综合收益
1.重新计量设定受益计划变动额
2.权益法下不能转损益的其他综合收益
3.其他权益工具投资公允价值变动
4.企业自身信用风险公允价值变动
5.其他
(二)将重分类进损益的其他综合收益
1.权益法下可转损益的其他综合收益
2.其他债权投资公允价值变动
3.金融资产重分类计入其他综合收益的金额
4.其他债权投资信用减值准备
5.现金流量套期储备
6.外币财务报表折算差额
7.其他
六、综合收益总额-175,754,904.6272,065,986.25
七、每股收益:
(一)基本每股收益
(二)稀释每股收益
"} {"image_path": "images/58af8be0a4a10888f2ea17f409e5f735.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产行次期末余额年初余额负债及所有者权益行次期末余额年初余额
流动资产:流动负债:
货币资金11,128,250.73-短期借款31-
短期投资2--应付票据32-
应收票据3--应付帐款33668,497.27-
应收帐款45,150,226.46-预收账款3456,629.02-
预付款项55,280,958.48-应付职工薪酬3518,249.86-
应收股利6--应交税费36116,427.42-
应收利息7--应付利息37-
其他应收款8283,705.09-应付利润38-
存货93,852,590.02-其他应付款396,000.00-
其中:原材料10-其他流动负债40-
在产品11-流动负债合计41865,803.57-
库存商品123,852,590.02-非流动负债:
周转材料13-长期借款42--
其他流动资产14-长期应付款43--
流动资产合计1515,695,730.78-递延收益44--
非流动资产:-其他非流动负债45--
长期债券投资16--非流动负债合计46--
长期股权投资174,000,000.00-负债合计47865,803.57-
固定资产原价181,766,531.37-
减:累计折旧19301,560.65-
固定资产账面价值201,464,970.71-
在建工程21--
工程物资22--
固定资产清理23--
生产性生物资产24--所有者权益(或股东权益):
无形资产25--实收资本(或股本)4820,000,000.00-
开发支出26--资本公积49--
长期待摊费用27--盈余公积50--
其他非流动资产28--未分配利润51294,897.93-
非流动资产合计295,464,970.71-所有者权益(或股东权益)合计5220,294,897.93-
资产总计3021,160,701.50-负债和所有者权益(或股东权益)总计5321,160,701.50-
"} {"image_path": "images/08e75fed9eabd34f102a0dd572697032.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目序号本月数本年累计
一、主营业务收入15,277,104.6920,348,010.54
减:主营业务成本24,524,853.8817,287,142.72
主营业务税金及附加313,928.0952,868.88
二、主营业务利润(亏损以“-”号填列)4738,322.733,007,998.94
其他业务收入5
减:其他业务成本6
加:其他业务利润(亏损以“-”号填列)7
减:销售费用8199,591.73916,257.51
管理费用957,301.92208,445.37
财务费用1015,604.8656,566.72
三、营业利润(亏损以“-”号填列)11465,824.221,826,729.34
加:投资收益(损失以“-”号填列)12
营业外收入13
减:营业外支出14
四、利润总额(亏损总额以“-”号填列)15465,824.221,826,729.34
减:所得税1623,291.2191,336.47
五、净利润(净亏损以“-”号填列17442,533.011,735,392.87
"} {"image_path": "images/84514769c59cb1eb86da8c98ffb6d1f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注2022年12月31日2021年12月31日
合并公司合并公司
流动资产:
货币资金五、299,978,683.46166,004,775.96356,276,893.38144,587,294.30
交易性金融资产五、150,250,858.52137,298,951.97281,180,042.47255,813,535.24
衍生金融资产
应收票据五、5,622,058.111,217,800.816,336,992.362,720,430.32
应收账款五、516,107,194.96230,613,734.57445,525,573.72239,295,663.33
应收款项融资
预付款项五、56,199,405.7254,771,057.4575,606,352.5974,758,004.99
其他应收款五、22,571,879.7611,027,479.5023,556,302.1543,066,112.01
其中:应收利息
应收股利
存货
合同资产五、243,117,033.21228,556,165.3358,798,564.7443,698,781.95
持有待售资产
一年内到期的非流动资产
其他流动资产五、173,624,890.40173,435,815.239,541,528.14
流动资产合计1,467,472,004.141,002,925,780.821,256,822,249.55803,939,822.14
非流动资产:
债权投资
其他债权投资
长期应收款五、17,457,655.4617,457,655.46
长期股权投资五、12,225,032.17677,889,225.9011,303,386.52677,889,225.90
其他权益工具投资
其他非流动金融资产五、27,149,040.5727,654,339.60
投资性房地产五、31,630,949.0811,239,411.9227,945,602.342,818,335.88
固定资产五、357,897,614.51174,565,869.45403,717,989.93206,292,712.23
在建工程五、3,496,528.63
生产性生物资产
油气资产
使用权资产五、1,803,079.56513,752.741,666,915.581,027,505.46
无形资产五、12,541,186.5512,072,413.7812,712,242.0412,056,497.52
开发支出
商誉五、353,084,418.47353,084,418.47
长期待摊费用五、14,304,963.5415,102,853.77
递延所得税资产五、53,149,248.1041,592,418.7246,482,289.5036,359,933.65
其他非流动资产五、30,093,179.1130,093,179.1114,070,223.9914,070,223.99
非流动资产合计914,832,895.75947,966,271.62931,197,917.20950,514,434.63
资产总计2,382,304,899.891,950,892,052.442,188,020,166.751,754,454,256.77
"} {"image_path": "images/9d6d30cb36fb6c99e0355a97f6a24b65.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标单位2023年同比增长(%)
粮食总产量万吨945.01.2
小麦万吨0.6-52.0
玉米万吨909.43.6
稻谷万吨12.8-23.9
大豆万吨7.533.1
薯类(折粮)万吨1.4-39.7
猪牛羊禽肉产量万吨51.57.6
猪肉万吨21.53.6
牛肉万吨20.514.9
羊肉万吨8.79.5
禽肉万吨0.7-41.3
年末猪牛羊禽存栏万头(只)1536.5-1.3
万头183.49.8
万头268.613.2
万头592.71.7
万只491.8-13.7
"} {"image_path": "images/1e0cda633b8e813aba0f36b0f39635ea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2023年度股本资本公积减:库存股盈余公积未分配利润股东权益合计
一、2023年1月1日余额13,214,162,544.0026,064,730,580.23-1,210,304,710.688,279,120,438.7948,768,318,273.70
二、2023年增减变动金额2,642,832,508.00(2,682,882,528.00)511,687,523.97240,501,777.901,239,524,623.04928,288,856.97
(一)综合收益总额----2,405,017,779.022,405,017,779.02
(二)股东投入和减少资本-(40,050,020.00)511,687,523.97--(551,737,543.97)
1. 回购股份--511,687,523.97--(511,687,523.97)
2. 股份支付计入股东权益的金额-(40,050,020.00)---(40,050,020.00)
(三)利润分配---240,501,777.90(1,165,493,155.98)(924,991,378.08)
1. 提取盈余公积---240,501,777.90(240,501,777.90)-
2. 对股东的分配----(924,991,378.08)(924,991,378.08)
(四)股东权益内部结转2,642,832,508.00(2,642,832,508.00)----
1. 资本公积转增股本2,642,832,508.00(2,642,832,508.00)----
三、2023年12月31日余额15,856,995,052.0023,381,848,052.23511,687,523.971,450,806,488.589,518,645,061.8349,696,607,130.67
"} {"image_path": "images/6e33c7059917a5684ecfb6576ea04b5a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
附注本期金额上年金额
一、营业收入六(二十七)751,050,458.85347,677,123.24
减:营业成本六(二十七)685,255,080.93302,183,363.40
税金及附加六(二十八)546,608.30200,479.24
销售费用六(二十九)4,231,684.783,645,916.23
管理费用六(三十)20,195,332.879,865,353.80
研发费用六(三十一)23,725,708.5421,793,480.40
财务费用六(三十二)3,322,282.732,840,103.45
其中:利息费用2,921,288.912,596,003.67
利息收入918,405.3990,525.66
汇兑净损失(净收益以“-”号填列)
其他
加:其他收益六(三十三)16,657,329.3324,412,751.55
投资收益(损失以“-”号填列)
其中:对联营企业和合营企业的投资收益
以摊余成本计量的金融资产终止确认收益
净敞口套期收益(损失以“-”号填列)
公允价值变动收益(损失以“-”号填列)
信用减值损失(损失以“-”号填列)
资产减值损失(损失以“-”号填列)
资产处置收益(损失以“-”号填列)六(三十四)-72,147.71131,379.66
二、营业利润(亏损以“-”号填列)30,358,942.3231,692,557.93
加:营业外收入六(三十五)83,949.7490,831.25
减:营业外支出六(三十六)577,909.45630,111.18
三、利润总额(亏损总额以“-”号填列)29,864,982.6331,153,278.00
减:所得税费用六(三十七)1,537,505.493,608,350.60
四、净利润(净亏损以“-”号填列)28,327,477.1227,544,927.40
(一)持续经营净利润28,327,477.1227,544,927.40
(二)终止经营净利润
五、其他综合收益的税后净额
(一)不能重分类进损益的其他综合收益
1.重新计量设定受益计划变动额
2.权益法下不能转损益的其他综合收益
3.其他权益工具投资公允价值变动
4.企业自身信用风险公允价值变动
5.其他
(二)将重分类进损益的其他综合收益
1.权益法下可转损益的其他综合收益
2.其他债权投资公允价值变动
☆3.可供出售金融资产公允价值变动损益
4.金融资产重分类计入其他综合收益的金额
☆5.持有至到期投资重分类为可供出售金融资产损益
6.其他债权投资信用减值准备
7.现金流量套期储备(现金流量套期损益的有效部分)
8.外币财务报表折算差额
9.其他
六、综合收益总额28,327,477.1227,544,927.40
七、每股收益:
(一)基本每股收益
(二)稀释每股收益
"} {"image_path": "images/f33fbb4be6f5921b4f19a3d8633a9ec7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目期末余额上年年末余额
流动资产:
货币资金76,187,593.3338,353,792.27
交易性金融资产-3,000,000.00
衍生金融资产--
应收票据12,200,000.00-
应收账款70,765,896.0682,056,598.52
应收款项融资424,000.00639,833.73
预付款项41,324,861.274,962,995.23
其他应收款38,158,047.4013,921,312.34
存货144,499,773.2779,819,671.70
合同资产--
持有待售资产--
一年内到期的非流动资产--
其他流动资产697.28655,939.07
流动资产合计383,560,868.61223,410,142.86
非流动资产:
债权投资--
其他债权投资--
长期应收款--
长期股权投资7,125,800.005,125,800.00
其他权益工具投资--
其他非流动金融资产--
投资性房地产--
固定资产104,803,848.4691,937,402.90
在建工程10,718,970.6314,217,684.99
生产性生物资产--
油气资产--
使用权资产980,276.57201,095.94
无形资产16,047,092.5512,361,136.94
开发支出--
商誉--
长期待摊费用3,153,485.381,745,478.19
递延所得税资产1,673,262.332,001,231.06
其他非流动资产9,083,086.725,251,314.69
非流动资产合计153,585,822.64132,841,144.71
资产总计537,146,691.25356,251,287.57
"} {"image_path": "images/c10ed775c7b62902a4c23008cd237909.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目期末余额上年年末余额
流动负债:
短期借款77,000,000.0054,000,000.00
交易性金融负债--
衍生金融负债--
应付票据95,224,132.7338,654,721.41
应付账款79,959,113.4370,495,324.58
预收款项--
合同负债43,218,057.217,165,485.49
应付职工薪酬6,431,795.346,384,678.47
应交税费5,562,456.36760,415.32
其他应付款13,792,568.4437,428,128.44
持有待售负债--
一年内到期的非流动负债4,388,805.327,662,435.44
其他流动负债4,507,404.21466,611.10
流动负债合计330,084,333.04223,017,800.25
非流动负债:
长期借款21,000,000.0025,000,000.00
应付债券--
其中:优先股--
永续债--
租赁负债597,405.5571,112.54
长期应付款-3,396,780.00
长期应付职工薪酬--
预计负债1,097,101.39728,355.54
递延收益5,808,699.153,644,750.00
递延所得税负债--
其他非流动负债--
非流动负债合计28,503,206.0932,840,998.08
负债合计358,587,539.13255,858,798.33
所有者权益(或股东权益):
实收资本(或股本)51,973,685.0050,000,000.00
其他权益工具--
其中:优先股--
永续债--
资本公积35,526,315.00-
减:库存股--
其他综合收益--
专项储备--
盈余公积14,116,587.188,049,920.89
未分配利润76,942,564.9442,342,568.35
归属于母公司所有者权益合计178,559,152.12100,392,489.24
*少数股东权益--
所有者权益(或股东权益)合计178,559,152.12100,392,489.24
负债和所有者权益(或股东权益)总计537,146,691.25356,251,287.57
"} {"image_path": "images/3eebc9d3b8a940cd21e154a1296bd1fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1 - 5
"} {"image_path": "images/3e28e70d98fc78bf6e085ef14d82d4cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注期末数期初数
合并公司合并公司
负债:
向中央银行借款五、17361,470,000.00280,000,000.00287,907,600.00100,000,000.00
同业及其他金融机构存放款项五、181,130,001,785.29880,000,000.005,130,679,388.893,890,000,000.00
拆入资金五、192,785,680,679.932,785,680,679.93860,188,000.00860,188,000.00
以公允价值计量且其变动计入当期损益的金融负债----
衍生金融负债----
卖出回购金融资产款五、2019,995,328,543.6619,995,328,543.6623,439,887,487.3623,439,887,487.36
吸收存款五、2175,774,842,753.4674,684,690,121.6863,113,107,883.1762,346,254,278.38
应付职工薪酬五、22193,320,397.53191,318,767.53205,190,871.21205,190,871.21
应交税费五、23275,185,804.59271,948,026.45254,641,081.20254,427,780.21
应付利息五、24631,041,000.40625,601,213.51473,717,817.76469,778,353.50
预计负债----
应付债券五、2514,541,162,493.2814,541,162,493.287,970,853,968.167,970,853,968.16
递延所得税负债----
其他负债五、263,268,474,545.453,260,473,968.975,090,113,546.875,079,722,572.76
负债合计118,956,508,003.59117,516,203,815.01106,826,287,644.62104,616,303,311.58
股东权益:
股本五、273,734,320,471.003,734,320,471.002,506,633,152.002,506,633,152.00
资本公积五、282,115,263,232.322,115,263,232.322,836,514,205.722,836,514,205.72
减:库存股----
其他综合收益五、29-481,696,990.45-481,696,990.45-110,019,851.85-110,019,851.85
盈余公积五、30561,973,725.29561,973,725.29461,539,655.89461,539,655.89
一般风险准备五、311,694,285,636.931,694,285,636.931,506,103,842.631,506,103,842.63
未分配利润五、32823,212,953.68829,490,494.78683,073,284.96690,932,148.36
归属于母公司股东权益合计8,447,359,028.778,453,636,569.877,883,844,289.357,891,703,152.75
少数股东权益88,372,404.74-87,397,143.50-
股东权益合计8,535,731,433.518,453,636,569.877,971,241,432.857,891,703,152.75
负债及股东权益总计127,492,239,437.10125,969,840,384.88114,797,529,077.47112,508,006,464.33
"} {"image_path": "images/75c364f8d316d0a5ec22d1fbe998a469.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注本年金额上年金额
一、营业收入16.46,127,172,942.135,725,221,280.36
减:营业成本16.42,818,679,471.142,671,551,753.50
税金及附加71,520,851.6268,091,970.49
销售费用1,793,830,667.351,652,104,901.78
管理费用619,857,955.65638,405,310.42
研发费用140,970,627.3784,181,916.81
财务费用-258,634,813.82-279,755,765.88
其中:利息费用35,170,809.0997,045,602.07
利息收入300,007,297.20379,991,723.28
加:其他收益48,666,404.7634,568,899.86
投资收益(损失以“-”号填列)16.55,466,267,245.734,385,718,372.83
其中:对联营企业和合营企业的投资收益-19,197,643.468,264,361.59
以摊余成本计量的金融资产终止确认收益
净敞口套期收益(损失以“-”号填列)
公允价值变动收益(损失以“-”号填列)-1,867,180,106.472,229,822,533.45
信用减值损失(损失以“-”号填列)1,243,707.79-2,839,850.15
资产减值损失(损失以“-”号填列)-147,261,032.944,675,065.88
资产处置收益(损失以“-”号填列)4,465,293.3514,239,261.89
二、营业利润(亏损以“-”号填列)4,447,149,695.047,556,825,477.00
加:营业外收入3,112,115.821,873,978.86
减:营业外支出7,830,460.387,084,781.89
三、利润总额(亏损总额以“-”号填列)4,442,431,350.487,551,614,673.97
减:所得税费用1,909,742.31813,367,710.87
四、净利润(净亏损以“-”号填列)4,440,521,608.176,738,246,963.10
(一)持续经营净利润(净亏损以“-”号填列)4,440,521,608.176,738,246,963.10
(二)终止经营净利润(净亏损以“-”号填列)
五、其他综合收益的税后净额2,449,692.673,231,037.79
(一)不能重分类进损益的其他综合收益
1、重新计量设定受益计划变动额
2、权益法下不能转损益的其他综合收益
3、其他权益工具投资公允价值变动
4、企业自身信用风险公允价值变动
5、其他
(二)将重分类进损益的其他综合收益2,449,692.673,231,037.79
1、权益法下可转损益的其他综合收益2,449,692.673,231,037.79
2、其他债权投资公允价值变动
3、金融资产重分类计入其他综合收益的金额
4、其他债权投资信用减值准备
5、现金流量套期储备
6、外币财务报表折算差额
7、其他
六、综合收益总额4,442,971,300.846,741,478,000.89
"} {"image_path": "images/b594afd34f19de0b18b2b5629b1aa75b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产注释号期末数上年年末数负债和所有者权益(或股东权益)注释号期末数上年年末数
流动资产:流动负债:
货币资金1347,229,748.78204,839,558.71短期借款1640,039,920.8429,031,762.50
结算备付金向中央银行借款
拆出资金拆入资金
交易性金融资产230,290,000.00149,000,000.00交易性金融负债
衍生金融资产衍生金融负债
应收票据应付票据1747,806,300.777,880,688.87
应收账款374,151,493.33110,432,233.90应付账款1858,470,558.0940,032,539.82
应收款项融资424,896,698.7313,009,676.57预收款项
预付款项57,410,223.675,395,380.62合同负债191,525,588.84730,379.53
应收保费卖出回购金融资产款
应收分保账款吸收存款及同业存放
应收分保合同准备金代理买卖证券款
其他应收款6905,951.472,168,748.94代理承销证券款
买入返售金融资产应付职工薪酬2010,270,944.9612,194,394.18
存货747,228,203.1043,994,727.61应交税费215,438,800.459,025,988.21
合同资产其他应付款225,601,439.20678,613.57
持有待售资产应付手续费及佣金
一年内到期的非流动资产应付分保账款
其他流动资产815,369,289.36121,216,324.57持有待售负债
流动资产合计547,481,608.44650,056,650.92一年内到期的非流动负债232,028,839.982,606,438.10
其他流动负债24123,971.4894,949.33
流动负债合计171,306,364.61102,275,754.11
非流动负债:
保险合同准备金
长期借款
应付债券
其中:优先股
永续债
租赁负债25425,334.133,353,547.51
长期应付款
长期应付职工薪酬
非流动资产:预计负债
发放贷款和垫款递延收益2626,139,446.2820,420,873.32
债权投资递延所得税负债1411,098,578.1210,064,257.85
其他债权投资其他非流动负债
长期应收款非流动负债合计37,663,358.5333,838,678.68
长期股权投资负债合计208,969,723.14136,114,432.79
其他权益工具投资所有者权益(或股东权益):
"} {"image_path": "images/7286ab72f89a483282423bee380b0681.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目注释2021年度2020年度
一、经营活动产生的现金流量:
销售商品、提供劳务收到的现金93,267,479.6588,222,965.33
收到的税费返还7,345,544.234,730,859.80
收到其他与经营活动有关的现金238,062.72572,081.39
经营活动现金流入小计100,851,086.6093,525,906.52
购买商品、接受劳务支付的现金76,928,778.8371,105,520.56
支付给职工以及为职工支付的现金17,501,161.2014,349,101.56
支付的各项税费81,696.53231,367.49
支付其他与经营活动有关的现金4,060,244.755,077,809.08
经营活动现金流出小计98,571,881.3190,763,798.69
经营活动产生的现金流量净额2,279,205.292,762,107.83
二、投资活动产生的现金流量:
收回投资收到的现金--
取得投资收益收到的现金--
处置固定资产、无形资产和其他长期资产收回的现金净额49,500.0012,730.00
处置子公司及其他营业单位收到的现金净额--
收到其他与投资活动有关的现金--
投资活动现金流入小计49,500.0012,730.00
购建固定资产、无形资产和其他长期资产支付的现金800,017.20324,292.28
投资支付的现金--
取得子公司及其他营业单位支付的现金净额--
支付其他与投资活动有关的现金--
投资活动现金流出小计800,017.20324,292.28
投资活动产生的现金流量净额-750,517.20-311,562.28
三、筹资活动产生的现金流量:
吸收投资收到的现金--
取得借款收到的现金1,500,000.00-
收到其他与筹资活动有关的现金--
筹资活动现金流入小计1,500,000.00-
偿还债务支付的现金3,154,441.952,300,000.00
分配股利、利润或偿付利息支付的现金157,901.2260,617.17
支付其他与筹资活动有关的现金--
筹资活动现金流出小计3,312,343.172,360,617.17
筹资活动产生的现金流量净额-1,812,343.17-2,360,617.17
四、汇率变动对现金及现金等价物的影响-131,685.81-335,262.87
五、现金及现金等价物净增加额-415,340.89-245,334.49
加:期初现金及现金等价物余额1,593,495.381,838,829.87
六、期末现金及现金等价物余额1,178,154.491,593,495.38
"} {"image_path": "images/eb546e5e096bbc3938db87e5ba5215c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
金融机构类型范围当前存款准备金率
大型银行国有大型银行8%
中型银行股份制商业银行等6%
小型银行4000多家农村商业银行、农村合作银行、农村信用社和村镇银行等5%
"} {"image_path": "images/eb40d9b967274347be858cd208999f99.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
责任铂金版
房屋主体、房屋装修及室内财产损失200万(含小产权房)
居家责任第三者财产损失1万
第三者医疗费用5万
第三者死亡伤残45万
水暖管爆裂1.5万
意外伤害身故/伤残主被保险1人(20-55岁)30万/人
连带被保险人(0-80岁)6万/人
意外医疗主被保险1人(20-55岁)10万/人
连带被保险人(0-80岁)10万/人
公共交通工具(飞机、火车、轮船)意外500万元共享
宠物责任三者意外身故伤残2万
三者意外医疗0.5万
自费医疗费用补偿800元
年龄主被保险人:20-55周岁
其他被保险人:0-80周岁
免赔财产损失、居家责任水暖管爆裂、宠物责任每次事故绝对免赔额300元后按80%比例赔付
意外医疗每次事故经过社保等第三方赔付的免赔300元后按80%赔付,未经过社保等第三方赔付的免赔300元后按50%赔付
产品服务1、保险期限内,在被保险人拥有的房屋可享有紧急开锁、马桶疏通各一次
2、保险期限内,投保人享有衣鞋清洗服务(2件)一次
保费928元
"} {"image_path": "images/8c05f6d3a728ab41c4bda39594c580ce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
8b
5c
a2
"} {"image_path": "images/f88fb0ca37261bd7424542a60e06e4c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
公司名称销量占比(%)
帝亚吉欧北美公司17.7
萨泽拉克公司10.7
Beam Global Spirits&Wine Inc9.1
保乐力加美国6.7
百加得美国6.5
"} {"image_path": "images/1497b36a20a0cfb976e204e03f66bb9c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
长方体玻璃缸18cm10cm9cm
水面高度放入物体前:7cm放入物体后:7.8cm
浸没水中的物体和数量90个同样的玻璃球
"} {"image_path": "images/e71ad50797bab9c1fa9f2a096b388d0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号景区名称地址
1内蒙古通辽市博物馆通辽市科尔沁区体育广场
2通辽市开鲁县古榆园景区通辽市开鲁县大榆树镇
3通辽市开鲁县委新纪念馆景区通辽市开鲁县开鲁镇
4通辽市经济技术开发区蒙牛乳业工业旅游园区通辽市经济开发区甘旗卡路以西 500 米辽河大街路北
5库伦旗银沙湾旅游景区库伦旗库伦镇银沙湾路1号
6内蒙古自治区通辽市奈曼旗苏勒德旅游区奈曼旗固日班花苏木
7通辽市科尔沁区世源温泉景区内蒙古自治区通辽市科尔沁区莫力庙苏木小街基嘎查
8通辽市科尔沁区蒙古王旅游景区通辽市科尔沁区民航路 999 号
9通辽市开鲁县烈士陵园景区通辽市开鲁县开鲁镇
"} {"image_path": "images/947d4282c012b920dac40f1d540007ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x0123
P$ \\frac{9}{125} $$ \\frac{4}{25} $$ \\frac{32}{125} $$ \\frac{64}{125} $
"} {"image_path": "images/2c51bb95b869ecbb3203a04c8ad8d08c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号景区名称地 址
1通辽市科左后旗大青沟旅游景区通辽市科左后旗甘库公路甘旗卡至库伦段25公里处路南
2通辽市奈曼旗蒙古王府通辽市奈曼旗大沁他拉镇
3通辽市库伦三大寺景区通辽市库伦旗库伦镇
4通辽市科左中旗孝庄园旅游区通辽市科左中旗花吐古拉镇
5通辽市奈曼旗孟家段湿地旅游区通辽市奈曼旗孟家段水库
6通辽市奈曼旗宝古图沙漠旅游区通辽市奈曼旗白音他拉苏木
7内蒙古哈民考古遗址公园通辽市科左中旗舍伯吐镇东偏南约30公里
8通辽市科左中旗珠日河草原旅游区通辽市科左中旗珠日河牧场
9通辽市科左后旗草甘沙漠风景旅游区通辽市科左后旗散都苏木车家窝堡村
"} {"image_path": "images/d2af06ee21d55d29f74949820ad2201f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产附注十五期末余额上年年末余额
流动资产:
货币资金1,578,358,269.222,059,753,301.92
交易性金融资产456,326.00
衍生金融资产
应收票据(一)1,332,013,257.341,512,296,347.96
应收账款(二)2,754,886,900.773,004,965,832.17
应收款项融资(三)396,055,758.39253,183,457.56
预付款项98,869,419.95105,606,922.76
其他应收款(四)5,362,943,040.783,829,683,725.06
存货1,375,126,995.081,660,763,556.89
合同资产
持有待售资产
一年内到期的非流动资产
其他流动资产94,071,734.17206,489,485.13
流动资产合计12,992,781,701.7012,632,742,629.45
非流动资产:
债权投资
其他债权投资
长期应收款
长期股权投资(五)13,508,843,075.4012,290,531,993.53
其他权益工具投资
其他非流动金融资产121,181,347.37126,036,035.00
投资性房地产1,292,888,525.2657,206,002.92
固定资产1,665,226,866.471,758,769,824.77
在建工程340,914,439.58263,059,076.78
生产性生物资产
油气资产
使用权资产
无形资产144,147,896.11143,007,544.37
开发支出
商誉
长期待摊费用104,146,625.5455,767,900.76
递延所得税资产73,232,995.49113,894,698.18
其他非流动资产43,348,250.8249,209,929.13
非流动资产合计17,293,930,022.0414,857,483,005.44
资产总计30,286,711,723.7427,490,225,634.89
"} {"image_path": "images/17ef725f7b30ce6892f9b4d3507ea068.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份123456
女生人数122431
"} {"image_path": "images/14a6f7c47af16b9963c2a8c083160cfd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2022年10月
12
345678寒露9
10111213141516
17181920212223霜降
24252627282930
31
"} {"image_path": "images/3ecf7a2eeda59ebd89b4c5fbafe85ba6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
作文等级评分标准
一类卷(45-50分)1.切合题意,立意明确,中心突出,材料具体生动,富有真情实感。
2.结构严谨,注意照应,详略得当。
3.语言得体、流畅。
二类卷(40-44分)1.符合题意,立意明确,中心突出,材料具体,有真情实感。
2.结构完整,条理清楚。
3.语言规范、通顺。
三类卷(30-39分)1.基本符合题意,立意明确,材料能表现中心,有情感。
2.结构基本完整,有条理。
3.语言基本通顺,有少数错别字。
四类卷(15-29分)1.不符合题意,立意不明确,材料难以表现中心,缺乏感情。
2.结构不完整,条理不清楚。
3.语言不通顺,错别字较多。
五类卷(0-14分)1.没有中心,空洞无物,严重离题。
2.结构残缺,不成篇章。
3.文理不通,错别字较多。
加分符合如下条件之一,可酌情加1-3分(加至本题满分为止):
1.情真意切,立意深刻。
2.构思独特,富有创意。
3.语言优美,富有个性。
4.文面整洁,书写优美。
扣分1.没有标题扣2分;没有以“这才是少年应有的模样”为结尾,扣2分。
2.不足500字者,每少50字扣1分。
B.错别字每3个扣1分(重复的错别字不计),最多扣3分。
4.不能正确使用标点扣1~3分。
5.文面脏乱,字迹潦草、难以辨认扣1~3分。
6.出现暴露身份的真实校名、地名、人名的扣1~3分。
"} {"image_path": "images/f1bc97407a20d6c8df74285344353dbe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注本年金额上年金额
一、经营活动产生的现金流量:
销售商品、提供劳务收到的现金39,585,624,822.5635,233,768,433.07
收到的税费返还11,729,686.3123,919,221.77
收到其他与经营活动有关的现金6.62795,429,357.00578,718,816.79
经营活动现金流入小计40,392,783,865.8735,836,406,471.63
购买商品、接受劳务支付的现金27,139,418,190.7225,517,309,494.17
支付给职工以及为职工支付的现金2,114,453,271.381,500,743,725.88
支付的各项税费2,552,114,905.251,960,315,422.54
支付其他与经营活动有关的现金6.623,363,519,216.023,029,131,197.02
经营活动现金流出小计35,169,505,583.3732,007,499,839.61
经营活动产生的现金流量净额5,223,278,282.503,828,906,632.02
二、投资活动产生的现金流量:
收回投资收到的现金9,368,428,360.0628,695,824,978.57
取得投资收益收到的现金588,720,481.01216,359,728.34
处置固定资产、无形资产和其他长期资产收回的现金净额4,507,186.6215,488,097.00
处置子公司及其他营业单位收到的现金净额932,689,836.57
收到其他与投资活动有关的现金6.62291,920,921.96
投资活动现金流入小计10,894,345,864.2629,219,593,725.87
购建固定资产、无形资产和其他长期资产支付的现金534,201,772.81486,420,552.22
投资支付的现金4,828,152,475.2627,286,679,489.65
取得子公司及其他营业单位支付的现金净额13,295,272.28
支付其他与投资活动有关的现金6.621,520,000,000.00360,000,000.00
投资活动现金流出小计6,895,649,520.3528,133,100,041.87
投资活动产生的现金流量净额3,998,696,343.911,086,493,684.00
三、筹资活动产生的现金流量:
吸收投资收到的现金393,502,939.45253,050,000.00
其中:子公司吸收少数股东投资收到的现金253,050,000.00
取得借款收到的现金1,672,479,070.182,025,443,134.17
收到其他与筹资活动有关的现金6.621,107,042,801.13561,295,833.34
筹资活动现金流入小计3,173,024,810.762,839,788,967.51
偿还债务支付的现金2,734,589,459.3922,000,000.00
分配股利、利润或偿付利息支付的现金4,952,449,615.863,908,327,586.25
其中:子公司支付给少数股东的股利、利润13,938,906.70
支付其他与筹资活动有关的现金6.62108,668,393.011,887,904,769.04
筹资活动现金流出小计7,795,707,468.265,818,232,355.29
筹资活动产生的现金流量净额-4,622,682,657.50-2,978,443,387.78
四、汇率变动对现金及现金等价物的影响-7,153,785.23-3,437,482.77
五、现金及现金等价物净增加额6.634,592,138,183.681,933,519,445.47
加:期初现金及现金等价物余额6.6314,277,726,658.6412,344,207,213.17
六、期末现金及现金等价物余额6.6318,869,864,842.3214,277,726,658.64
"} {"image_path": "images/95ad4c4ee3e96d5aadb54fe23795c25a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
填涂样例正确填涂 ▬
"} {"image_path": "images/540210a89a62e4900aebf0a8f458c223.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
创业的常见创业误区表现特征克服方法
不了解创业的意义简单认为创业就是赚钱要加深对创业意义的认知,创业hi改变人一生的决策,它对创业者的意义不仅仅在于财富的积累和地位的提高,还在于它是实现自我和超越自我的过程。
不清楚创业的真正含义简单认为发明或者创造就是创业要强化对本质的认知,创业是基于创新的创建行动,但发明家往往不是创业者。相对发明家而言,创业者能前瞻地半段发明的商业价值,并采取行动去努力实现。
对创业要素不了解不清楚创业过程设计哪些环节可通过与初创企业家访谈,增加对创业过程的要素认识。创业本质上是创业之、机会、素质和资源相互作用以创造价值的动态过程。
对创业类型不了解认为创业仅仅是创办新企业加强对新创现象的了解,比如,海尔开放创新平台致力于打造全球最大的创新生态系统,其实就属于典型的内部创业。
"} {"image_path": "images/45ce7c6fd419dca1264817a07fcfa261.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间里程分段速度档跑步里程
小明16:10~16:50不分段A档4000米
小丽16:10~16:50第一段B档1800米
第一次休息
第二段B档1200米
第二次休息
第三段C档1600米
"} {"image_path": "images/9fbd47682e64d804a855709ff36c21b9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
作业A 打坡口E 打坡口A 切割E 切割点焊通焊打磨
工时:分钟
"} {"image_path": "images/41840ec66c38ce683dd8148382b773a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
03月18日收盘价(港元)7.92
总市值(亿港元)199.66
总股本(亿股)25.21
"} {"image_path": "images/58f7493191cf585a34cbfb83c1146071.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目注释号行次2023年12月31日2022年12月31日
流动负债:
短期借款五(十八)37537,070,702.55283,595,406.72
交易性金融负债38--
衍生金融负债39--
应付票据五(十九)40124,855,924.7662,124,054.52
应付账款五(二十)4186,674,746.1475,536,975.75
预收款项五(二十一)422,018,060.041,809,469.70
合同负债五(二十二)436,512,709.136,824,436.31
应付职工薪酬五(二十三)4423,991,264.6326,104,059.92
应交税费五(二十四)455,971,208.0212,321,847.99
其他应付款五(二十五)466,098,572.778,335,954.27
其中:应付利息47--
应付股利48--
持有待售负债49--
一年内到期的非流动负债五(二十六)50165,152,319.4565,069,055.56
其他流动负债五(二十七)51428,678.20704,546.50
流动负债合计52958,774,185.69542,425,807.24
非流动负债:
长期借款五(二十八)53-75,071,041.67
应付债券54--
其中:优先股55--
永续债56--
租赁负债57--
长期应付款58--
长期应付职工薪酬59--
预计负债60--
递延收益五(二十九)6161,920,215.9563,353,669.14
递延所得税负债五(十六)622,468,829.22378,198.98
其他非流动负债63--
非流动负债合计6464,389,045.17138,802,909.79
负债合计651,023,163,230.86681,228,717.03
所有者权益:
股本五(三十)66375,284,000.00375,284,000.00
其他权益工具67--
其中:优先股68--
永续债69--
资本公积五(三十一)70112,157,508.69112,157,508.69
减:库存股71--
其他综合收益72--
专项储备73--
盈余公积五(三十二)74105,451,672.9097,429,510.87
未分配利润五(三十三)75702,386,996.53641,074,623.02
归属于母公司所有者权益合计761,295,280,178.121,225,945,642.58
少数股东权益77--
所有者权益合计781,295,280,178.121,225,945,642.58
负债和所有者权益总计792,318,443,408.981,907,174,359.61
"} {"image_path": "images/45d8a20c2a2df00c9e078c4c02b8bae4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NON - ENCUMBERING EQUIPMENT
"} {"image_path": "images/28d24c4d96d57e723e60d55944044780.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
得分
"} {"image_path": "images/af1d5c3c4c928bbf26a0cd8bad959465.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
323337
"} {"image_path": "images/19379c0ebe6b37d02f2bd892db644372.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
3~6个月唇裂修复术
8~12个月腭裂修复术
4~5岁语音、腭咽闭合功能评价
语音训练或咽成形手术
7.5~8岁生长发育评价
"} {"image_path": "images/68a9ce7c14febce8ea8bf4fb2ceac496.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
手机平板电脑笔记本电脑
3500元4300元5600元
"} {"image_path": "images/f97ef586ea336f0454c54d25f75a0fcb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
实验过程描述听到的声音的强弱变化
实验轻轻拨动钢尺振动幅度小 声音弱(小)
用力拨动钢尺振动幅度大 声音强(大)
我的发现音量是由物体振动的幅度决定的,振动幅度越大,声音就越强;振动幅度越小,声音就越弱。
"} {"image_path": "images/c7a3e3745f132bcfd562d1b8bf28a524.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
被减数80$ 36+29 $
减数$ 9\\times7 $25
"} {"image_path": "images/3f473f34f8999508adfb121bf1b4625a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1/1 前期繰越 3,000
"} {"image_path": "images/363058c080af967be7562c3f08afe6bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1mth3mth12mth
绝对值5.8%9.7%-40.8%
绝对值(美元)5.7%7.9%-43.1%
相对 MSCI China5.8%9.7%-40.8%
"} {"image_path": "images/65bcdd6f8740bc7e79f403bdfb504bde.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产行次期末余额年初余额负债及所有者权益行次期末余额年初余额
流动资产:流动负债:
货币资金:15776665.124105527.51短期借款3112500000115000000
短期投资200应付票据3200
应收票据37860000749000应付账款334060670.694281663.85
应收账款410106957.1617556999.52预收账款3400
预付款项5247312.48447312.48应付职工薪酬3500
应收股利600应交税费3625157.0985926.38
应收利息700应付利息3700
其他应收款825772577应付利润3600
存货9648214.66520031.79其他应付款39949145.92014210.15
其中:原材料10161725.14174363.21其他流动负债4000
在产品1100流动负债合计4117554973.6817882000.38
库存商品12486489.52345648.58非流动负债:
周转材料1300长期借款4200
其他流动资产1400长期应付款4300
流动资产合计1524641926.4223363448.3延递收益4400
非流动资产:其他非流动负债4500
长期债券投资1600非流动负债合计4600
长期股权投资1700负债合计4717554973.6817882000.38
固定资产原价1811131820.479437418.52
减:累计折旧196306846.535053254.01
固定资产账面价值204824973.944384164.51
在建工程2100
工程物资2200
固定资产清理2300
生产性生物资产2400所有者权益(或股东权益):
无形资产2599116.679317.17实收资本(或股本)4810000001000000
开发支出2600资本公积4900
长期待摊费用2700盈余公积5000
其他非流动资产2800未分配利润5111011043.358694929.6
非流动资产合计294924090.614383461.68所有者权益(或股东权益)合计5212011043.359894929.6
资产总计3029566017.0327776929.98负债和所有者权益(或股东权益)5329566017.0327776929.98
"} {"image_path": "images/2d18b565e1b45d17028dd10b306db259.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
03月18日收盘价(元)22.79
总市值(亿元)31.57
总股本(亿股)1.39
"} {"image_path": "images/1d246ef0c7092db60cf04b03fd908e90.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学生情况
基本情况本班共34人,男生17人,女生17人,男女生人数均衡。
人员分布本地生源30人,外地生源14人,独生子女26人。
学业基础学生从六年级升学而来,大多已经养成良好的学习习惯。
个性特点个性强,多以自我为中心;自我规划意识薄弱;个别拖拉严重;抗挫折意志不强
兴趣爱好34人兴趣爱好多样,积极参加各类活动。
"} {"image_path": "images/6e31776a7caabb5127b4b29f8d74cb4a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
898884
"} {"image_path": "images/baad092885b9ec823d1dc8527663bbf6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
考核等级
"} {"image_path": "images/59be971bee21ed41b87b0a8a11d375a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1/1 前期繰越 2,000
"} {"image_path": "images/6bc530053d877e5cfffb81a28499011c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
传统零售渠道63天
沃尔玛39天
电商30天
"} {"image_path": "images/91656b062f34f392ed025bc3b54bd20e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1234567
H
2,20
Li
0,98
Be
1,57
B
2,04
C
2,55
N
3,04
O
3,44
F
3,98
Na
0,93
Mg
1,31
Al
1,61
Si
1,90
P
2,19
S
2,58
Cl
3,16
K
0,82
Ca
1,00
As
2,18
Br
2,96
Rb
0,82
Sr
0,95
I
2,66
"} {"image_path": "images/8de1b496c913047513c046a6e33dfef1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
5月海外销量再创新高,高端品牌增长亮眼2025-06-03
4月主品牌表现稳健,高端品牌&出海增长亮眼2025-05-05
2025Q1业绩优异,量利齐升可期2025-04-27
2025Q1业绩亮眼,规模效应、出海驱动高增2025-04-08
"} {"image_path": "images/701e76c146097afc31ceda9557e6fdd8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Test Date 1992Direct Normal Insolation W/m2Wind speed m/secAir Temp °CTemp In °CTemp Out °CDelta Air °CFlow rate L/minMeas Effic %Est Error ±%
02/06807.91.015.818.3436.1711.618.472.631.91
17/06933.72.621.2102.2124.091.947.772.511.95
17/06968.23.722.4151.0173.3139.847.870.91.92
17/06982.32.524.3197.5219.5184.349.170.171.81
22/06909.53.326.2250.7269.4233.954.770.251.90
22/06937.91.028.8297.8316.9278.655.567.981.86
25/06880.62.927.5299.0317.2280.755.668.922.06
26/06920.92.629.5379.5398.0359.456.862.342.41
29/06903.24.231.1355.9374.0334.156.363.822.36
"} {"image_path": "images/4a6cfaaafbdd1406632ca06bb1efa823.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分
"} {"image_path": "images/741e587744f8d868eb0c839d34f1d2d7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分
阅卷人
"} {"image_path": "images/6b25517bc1cbb6d4669655951ff4e764.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Part NumberPV3203
"} {"image_path": "images/c1f1af507c0f425ceb04706e17f7c4a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
原文再现字词理解
xiǎo ér chuí diào
小儿垂钓
táng hú lìng néng
[唐]胡令能
péng tóu zhì zǐ xué chuí lún
蓬头$ ^{①} $稚子$ ^{②} $学垂纶$ ^{③} $,
cè zuò méi tái cǎo yìng shēn
侧坐莓$ ^{④} $苔$ ^{⑤} $草映$ ^{⑥} $身。
lù rén jiè wèn yáo zhāo shǒu
路人借问$ ^{⑦} $遥招手,
pà dé yú jīng bú yìng rén
怕得鱼惊$ ^{⑧} $不应$ ^{⑨} $人。
①蓬头:头发乱蓬蓬的。
②稚子:年龄小的孩子。
③垂纶:钓鱼。纶,钓鱼用的丝线。
④莓:一种小草。
⑤苔:苔藓植物。
⑥映:遮。
⑦借问:向人打听。
⑧鱼惊:鱼儿受到惊吓。
⑨应:回应,答应
了解诗意:一个蓬头稚面的小孩儿学着大人的样子钓鱼,斜着身子坐在野草丛中,野草掩映了他的身子。听到有过路的人问路,他连忙远远地招了招手,害怕惊动了鱼儿,不敢回应过路的人。
"} {"image_path": "images/9f7658fe6f5bf87760cb94f67609874d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
全国人大代表全国政协委员
郑代表火车票可免费改签两次,航班起飞前七天以上免费退改吕委员将离线休息权入法,切实维护劳动者的合法权益
李代表取消乡镇医院、社区卫生服务中心门诊报销起付线皮委员建立预制菜消费者知情权保障机制
"} {"image_path": "images/9b49d213f2a286944fa8b4dbd8bea5b7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dysphagia
(n=180)
Non-dysphagia
(n=440)
P
28-day PICU Mortality31(17.2%)3(0.7%)<0.01
PICU LOS8(4,17)5(3,7.7)<0.01
Mechanical ventilation duration7(4,12)4(2,8)<0.01
VFDs23(13,28)28(28,28)<0.01
PFDs15(2,22)23(20,25)<0.01
"} {"image_path": "images/ca98caa85ef7e3bd9d91cef26930b738.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测量$ R_{L}=150\\Omega $$ R_{L}=330\\Omega $
实际电压源模型$ U/V $$ I $/mA$ U/V $$ I $/mA
"} {"image_path": "images/2c075f0737174aedca22adef2e41c6a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2025年网络发展目标
一级门店线上门店线下门店小客门店专用车大客户合计
33012040030100201000
"} {"image_path": "images/2097b76396478519898ec5b8bba4b044.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
内容评分
醒目仔一天的生活中哪里用到了人工智能技术☆☆☆☆☆
生活里其他的人工智能技术有哪些☆☆☆☆☆
人工智能可以帮人们做什么☆☆☆☆☆
"} {"image_path": "images/963255b62ca6b0f7642f1b77208bb1fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
C
x
y
"} {"image_path": "images/c5f361114e683ee9d28c97535ae25ff4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目名称项目简称检验结果提示单位参考区间方法学
血清丙氨酸氨基转移酶(ALT)测定ALT46.80U/L0~40速率法
血清天门冬氨酸氨基转移酶(AST)测定AST31.60U/L0~45速率法
ALT/ASTALT/AST1.48U/L0.8-1.5计算法
血清总胆红素(T-BIL)测定T-BiL14.32μmol/L3.42~20.50重氮法
血清直接胆红素(D-BIL)测定D-BiL3.33μmol/L0~6.84重氮法
血清间接胆红素(I-BIL)测定I-BiL10.99μmol/L0~15计算法
血清白蛋白(ALB)测定ALB45.50g/L40~53溴甲酚绿法
血清总蛋白(TP)测定TP72.70g/L60~80双缩脲法
血清球蛋白(GLOB)测定GLB27.20g/L20~40计算法
血清白球比(A/G)检测A/G1.671.5~2.5计算法
血清肌酐(CREA)测定Cr72.80μmol/L57-97终点法
血清尿酸(UA)测定UA439.60μmol/L200-420终点法
尿素(UREA)测定Urea3.89mmol/L3.1-8.0固定时间法
血清葡萄糖(GLU)测定GLU4.55mmol/L3.89-6.11终点法
血清γ-谷氨酰基转移酶(GGT)测定γ-GGT44.10U/L男性11-50速率法
血清碱性磷酸酶(ALP)测定ALP61.30U/L15~150速率法
血清前白蛋白(PA)测定PA277.20mg/L150~400终点法
血清胆碱酯酶(CHE)测定CHE12380.20U/L4500~13000速率法
血清总胆固醇(TCHOL)测定TC7.27mmol/L≤5.18终点法
血清甘油三酯(TRIG)测定TG3.30mmol/L≤2.3终点法
血清高密度脂蛋白(HDL-CH)测定HDL-C1.28mmol/L1.04-1.06终点法
血清低密度脂蛋白(LDL-CH)测定LDL-C3.97mmol/L0-3.11终点法
血清肌酸激酶(CK)测定CK62.00U/L24~190速率法
血清肌酸激酶同工酶活性(CK-MB)测定CK-MB10.90ng/ml0-25免疫抑制法
乳酸脱氢酶(LDH)测定LDH125.60U/L100~240速率法
血清α羟基丁酸脱氢酶(HBDH)测定HBDH108.30U/L74~199速率法
类风湿因子(RF)测定RF16.60IU/ml0-40终点法
"} {"image_path": "images/8aa9f35fb0c9c22dfc2a702e7d5a866e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组别nn优良率
对照组68干预前19(27.94)22(32.35)27(39.71)41(60.29)
干预后29(42.65)17(25.00)22(32.35)46(67.65)
研究组68干预前21(30.88)22(32.35)25(36.76)43(63.23)
干预后36(52.94)25(36.76)7(10.29)$ 61(89.71)^{\\ast\\#} $
"} {"image_path": "images/3de8d9a2bfd374dc2a1a5cc97e61de84.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
纳米载体材料
基于活性成分的纳米载体来自中药黄芩苷和黄酮苷类
BBR 和肉桂酸
亲脂性烷基小檗碱衍生物(BDs)以及鼠李糖苷(RHL)
熊果酸
茯苓枫香树
熊果酸和紫杉醇
"} {"image_path": "images/1ba760e8b5aaf9a364648db5d8d27b14.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分
"} {"image_path": "images/5a463367858ae8a1e6925e7479a63613.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Pipe size (mm) odInsulation material and thickness
Glass fibre 0.040W/mKPhenolic foam 0.018W/mKNitril rubber 0.035W/mK
15251513
22251519
25322025
32322032
40322032
50322032
65322032
75322032
100382032
"} {"image_path": "images/9244edf0b57fd5362515908a05aa69ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分总分复核人
阅卷人
"} {"image_path": "images/f03a9a9491810b020b96114a87d0fd19.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
C
x
y
"} {"image_path": "images/2dfb880add815a4aa43a75d8e4260326.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验项目本次结果2023-04参考值单位异常标志
颜色 颜色黄色淡黄色
清晰度 清晰度清晰清晰清晰
"} {"image_path": "images/e4f29eab9effc64ecde654424ddeed63.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BC
ax
cz
"} {"image_path": "images/f4f7e5bd13d769623a28b7324ffc0664.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
评价
"} {"image_path": "images/88d5b1c9b656d9f9f63043697bf72b84.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
评价
"} {"image_path": "images/63d449b506f24c059039cd5be35bed71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目2019202020212022202320242025成立以来
兴聚智投收益2.85%20.13%-0.25%3.73%7.96%18.80%7.70%76.58%
兴聚智投最大回撤-0.20%-8.01%-12.46%-9.94%-8.74%-10.38%-2.28%-17.70%
沪深300收益2.98%27.21%-5.20%-21.63%-11.38%14.68%1.11%0.01%
沪深300最大回撤-4.35%-16.08%-18.19%-28.65%-21.51%-14.41%-2.56%-47.59%
"} {"image_path": "images/a68d335955401f50a003040df0052bca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检验项目本次结果2023-04参考值单位异常标志
GLU $ \\ast $葡萄糖4.854.723.90-6.14mmol/L
"} {"image_path": "images/b066561cb2827687a9694b871c59c24a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
业绩高增引瞩目,高端手机和汽车市场进展良好2024-07-07
手机+汽车 CIS 营收强力增长,24Q1 毛利率有所恢复2024-05-03
三季度营收同环比高增,盈利能力改善2023-11-01
"} {"image_path": "images/f23880449abf4f4fa8e354ffc6d39361.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基金管理人上海黑翼资产管理有限公司
基金托管人中信证券股份有限公司
投资范围1、权益类:证券交易所交易的股票,港股通,存托凭证(DR);
2、固定收益类:可转换债券,债券通用质押式回购,质押式报价回购,银行存款(包括定期存款、协议存款保本型结构性存款和其他银行存款),同业存单,货币市场基金;
3、衍生品类:证券交易所及期货交易所上市交易的衍生品(包括期货和期权);
4、其他:参与融资融券,将持有的证券作为融券标的证券出借给证券金融公司,现金,公开募集证券投资基金,法律法规或中国证监会允许基金投资的其他投资品种。
如法律法规规定基金管理人需取得特定资质后方可投资某品种,则基金管理人须在获得相应资质后开展此项业务。私募证券投资基金、货币市场基金、银行存款、国债、中央银行票据。
本基金的投资经理由陈泽浩和邹倚天担任,投资经理简介如下:
陈泽浩,黑翼资产创始人、CEO;北京大学数学学士、美国斯坦福大学统计学博士;师从黎子良教授。第一位华人COPSS总统奖得主;曾先后任职于华尔街顶尖机构雷曼兄弟、博时基金;拥有17年全球量化投资实战经验。
邹倚天,上海黑翼资产管理有限公司联合创始人,美国明尼苏达大学计算机工程学士,美国斯坦福大学电子
"} {"image_path": "images/80d39e34edf8e85e7a4df036d3816942.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ABY
000
011
101
111
"} {"image_path": "images/26c81776f590343a643ffb19fd477915.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号满分(100分)等级
得分
"} {"image_path": "images/f250084afa129226846aeea8b7d5fc21.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分阅卷人
"} {"image_path": "images/e98e1cd182daeb910f75e9a9a5730deb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分阅卷人
"} {"image_path": "images/8f4dd80f039c80a14e02079ca2c6e4a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分
"} {"image_path": "images/8a0d119b618e04a14996435b96705da7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
得分
"} {"image_path": "images/a1b699240d7d4e7a3ce6e5271572accd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份123456
男生人数211232
"} {"image_path": "images/5ccbb5cc429f19e192559c67de50033b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分阅卷人
"} {"image_path": "images/510d13ac8736e837c21c7fb1a8f1f7ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
会乐器的32人
会打羽毛球的19人
"} {"image_path": "images/8db15b7765fa38861ec295a7deb6836d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
上海虹桥北京大兴新加披樟宜芝加哥奥黑尔荷兰史基浦迪拜马克图姆韩国仁川
机场衍生产业医疗器械医疗服务卫星导航商贸会展总部经济机器人大数据云计算物联网精准医疗总部经济商贸会展航空制造航天工业高科技信息科技机器人智能制造新材料专业会展电子信息航空产业专业金融商贸会展航空产业电子信息智能制造商贸会展新型显示检测设备汽车电子生物医药知识情报
机场关联产业保税物流临空物流国际会展临空物流临空物流临空物流航空运输航空保障临空物流临空物流
机场驱动产业航运配套特色消费航运培训航空维修特色消费航空维修免税消费通航运营通航运营航空服务特色消费通航运营免税消费
"} {"image_path": "images/cc52601135163ea528b04a385c7c1c73.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
得分
"} {"image_path": "images/14153ffa8a82b6c69e0c9cc2e249aecf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
价格(元)12345
需求量4003002001000
"} {"image_path": "images/a99b056fc9a5545ef59cff1783c2b26b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
会计年度 2022A 2023A 2024E 2025E 2026E
营业收入(百万元)3,7264,2955,3896,4997,519
YOY(%) 56.815.325.520.615.7
归母净利润(百万元)1,0251,4621,9192,4902,936
YOY (%)77.842.631.329.717.9
毛利率(%)75.083.580.680.780.7
EPS (摊薄/元)0.480.680.891.161.36
ROE (%)30.030.227.526.423.9
P/E (倍)29.820.915.912.310.4
P/B (倍)6.85.84.43.22.5
净利率(%)27.534.035.638.339.0
"} {"image_path": "images/bda8cfc723414e84ad1a489affc6519c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份123456
女生人数122431
"} {"image_path": "images/a5cb273da3463aae26ae1caac0051e48.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目行次期末余额期初余额项目行次期末余额期初余额
流动资产:1--流动负债:75--
货币资金2574,909,607.93359,367,330.50短期借款76
△结算备付金3△向中央银行借款77
△拆出资金4拆入资金78
短期投资5164,000,000.00184,000,000.00☆交易性金融负债79
以公允价值计量且其变动计入当期损益的金融资产6以公允价值计量且其变动计入当期损益的金融负债80
衍生金融资产7衍生金融负债81
应收票据8应付票据82
应收账款9523,703,036.30432,975,959.51应付账款83501,788,003.94431,388,912.43
☆应收款项融资10预收款项848,245,165.956,953,538.00
预付款项11385,763.17475,114.40☆合同负债85
△应收保费12△卖出回购金融资产款86
△应收分保账款13△吸收存款及同业存放87
△应收分保合同准备金14△代理买卖证券款88
其他应收款15140,198,309.87117,599,434.33△代理承销证券款89
其中:应收股利16应付职工薪酬90
△买入返售金融资产17其中:应付工资91
存货1839,812,004.1257,925,829.03应付福利费92
其中:原材料19#其中:职工奖励及福利基金93
库存商品(产成品)20应交税费9451,772,662.8235,591,107.54
☆合同资产21其中:应交税金9551,772,662.8235,591,107.54
持有待售资产22其他应付款9612,044,204.9611,942,985.68
一年内到期的非流动资产23其中:应付股利97
其他流动资产24△应付手续费及佣金98
流动资产合计251,443,008,621.391,152,343,667.77△应付分保账款99
非流动资产:26--持有待售负债100
△发放贷款和垫款27一年内到期的非流动负债101
☆债权投资28其他流动负债102
可供出售金融资产29流动负债合计103573,848,037.68485,875,543.65
☆其他债权投资30非流动负债:104
持有至到期投资31△保险合同准备金105
长期应收款32长期借款106
长期股权投资33376,356,384.03327,321,451.12应付债券107
☆其他权益工具投资34其中:优先股108
☆其他非流动金融资产35永续债109
投资性房地产36☆租赁负债110
固定资产3713,446,516.674,606,180.53长期应付款111
其中:固定资产原价3824,347,039.5714,140,810.92长期应付职工薪酬112
累计折旧3910,900,522.909,534,630.39预计负债113
固定资产减值准备40递延收益114
在建工程41递延所得税负债115
生产性生物资产42其他非流动负债116
油气资产43其中:特准储备基金117
☆使用权资产44非流动负债合计118
无形资产45负债合计119573,848,037.68485,875,543.65
开发支出46所有者权益(或股东权益):120
商誉47实收资本(或股本)12118,000,000.0018,000,000.00
长期待摊费用481,740,000.002,320,000.00国家资本122
递延所得税资产49国有法人资本123
其他非流动资产50集体资本124
其中:特准储备物资51民营资本125
非流动资产合计52391,542,900.70334,247,631.65外商资本126
53#减:已归还投资127
54实收资本(或股本)净额128
55其他权益工具129
56其中:优先股130
57永续债131
58资本公积132
59减:库存股133
60其他综合收益134
61其中:外币报表折算差额135
62专项储备136
63盈余公积13720,033,082.8820,033,082.88
64其中:法定公积金13810,000,000.0010,000,000.00
65任意公积金1394,152,152.184,152,152.18
66#储备基金140
67#企业发展基金141
68#利润归还投资142
69△一般风险准备143
70未分配利润1441,222,670,401.53962,682,672.89
71归属于母公司所有者权益(或股东权益)合计1451,260,703,484.411,000,715,755.77
72*少数股东权益146
73所有者权益(或股东权益)合计1471,260,703,484.411,000,715,755.77
资产总计741,834,551,522.091,486,591,299.42负债和所有者权益(或股东权益)总计1481,834,551,522.091,486,591,299.42
"} {"image_path": "images/66d67192a42bdf14f14a00a5c9e42adf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分
"} {"image_path": "images/5bdff8fadc8e647d15bf49c2403332f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
得分阅卷人
"} {"image_path": "images/3ae9d37a38420e3aade1e24751db41ec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
dictionaryˈdɪkʃəneri字典,词典
dietˈdaɪət饮食
differenceˈdɪfrəns区别,差别,不同,分歧,争论,争议
digitalˈdɪdʒɪtl数字的
directiondaɪˈrekʃn,dəˈrekʃn方向,朝向
disappearˌdɪsəˈpɪr消失,失踪
disasterdɪˈzæstər灾难,大祸
discussiondɪˈskʌʃn讨论,议论,谈论**
diseasedɪˈziːz病,疾病
distanceˈdɪstəns距离,路程
documentˈdɑːkjumənt文件,公文,记录,记载
earnɜːrn挣(钱),挣得,赚得
educationˌedʒuˈkeɪʃn教育,教学
effectɪˈfekt影响,效果,作用,效应
electricɪˈlektrɪk用电的,电动的
electricalɪˈlektrɪkl电的,与电有关的
electricityɪˌlekˈtrɪsəti电,电能
electronicɪˌlekˈtrɑːnɪk电子的,计算机的
employɪmˈplɔɪ使用,利用,采用
employeeɪmˈplɔɪiː受雇者,雇员,员工
employerɪmˈplɔɪər雇用者,雇主
enormousɪˈnɔːrməs极大的,巨大的,庞大的
environmentɪnˈvaɪrənmənt环境,周围状况
"} {"image_path": "images/57205a0437cdd8ee4d49e41d7525e19e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Total assetsShareholders'equity
a.DecreaseDecrease
b.No effectDecrease
c.No effectNo effect
d.DecreaseNo effect
"} {"image_path": "images/0760a7bdc90645490fca62ed66ab37f1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题号总分
得分
"} {"image_path": "images/5a33ceab5b261d9ab5c000385ef14f6e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
实验次数第一次第二次第三次
消耗高锰酸钾溶液体积/mL24.3025.0124.99
"} {"image_path": "images/02adaeea59b67c7710212a7cfcb771b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
投资评级
行业非必需性消费/专业零售
6个月评级买入(维持评级)
当前价格132.4港元
目标价格港元
基本数据
港股总股本(百万股)2,980.51
港股总市值(百万港元)394,619.00
港股净资产(港元)81.09
资产负债率(%)55.13
一年内最高/最低(港元)192.30/94.65
"} {"image_path": "images/40046d1c73c40a0f22f039ca9490c93a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
会游泳的28人
不会游泳的24人
"} {"image_path": "images/0bf3fc1fe3d8ecb1202abc96aaaa4ea9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
题序附加题总分等级
得分
"} {"image_path": "images/c82505e1d12003b8aae11d979ebaa671.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Issuer:Digistrype Logistics Inc.
Settlement Date:[T + 3 Business Days]
Maturity Date:Seven Years from Settlement Date unless the Notes are redeemed earlier in a Conversion
Principal Amount:EUR250 million
Unit Size:EUR1,000 per bond
Interest:3.25% fixed coupon to be paid annually starting one Year from the Settlement Date with the final coupon paid at Maturity
Seniority:The Notes are an unsecured obligation of DILO and rank pari passu with other unsecured debt.
Conversion Provision:An Investor has, at its sole option, the right to convert a portion or the full sum of the Principal Amount, or any part outstanding at any time at the Conversion Price during the Conversion Period.
Current Share Price:EUR60.00 per DILO common equity share
Conversion Price:EUR75.00 per DILO common equity share
Conversion Period:Any Business Day starting from the Settlement Date through the Maturity Date
"} {"image_path": "images/9dfa1f83d2b3a3e043fdb3ee44ae4088.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
食品重量(克)食品重量(克)
柿子、香蕉、鲜荔枝(带皮)150李子、杏(带皮)200
梨、桃、苹果(带皮)200葡萄(带皮)200
橘子、橙子、柚子(带皮)200草莓300
猕猴桃(带皮)200西瓜500
"} {"image_path": "images/6696e9325c04c02b8091f09906575825.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
会计科目 (元)期初余额本月合计结余
借方金额(元)贷方金额(元)
库存现金3,954.9159,000.0061,023.231,931.68
银行存款200,113.12127,724.3264,713.26263,124.18
其他应收款 -暂付款1,241.611,241.61
固定资产607,770.52607,770.52
其他应收款 -缴存公积金378,533.4412,529.79118,075.22272,988.01
零余额帐户用款额度-9,649.109,649.10-
经费支出1,184,860.5895,769.741,280,630.32
应付职工薪酬9.21418.00634.02-206.81
其他应付款 -个人公积金378,533.4446,700.0012,529.79344,363.23
资产基金607,770.52607,770.52
财政拨款收入1,416,951.0685,166.331,502,117.39
其他收入50,385.1250,385.12
财政拨款结余205,300.43194,697.02
合计351790.95351790.95
"} {"image_path": "images/e71a7460afbb1c0f8446ae25b16efb21.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Technology
Projection System3LCD Technology,
RGB liquid crystal shutter
LCD Panel0.62 inch with C2 Fine
"} {"image_path": "images/6fc8bc2a3469f80e633d907cb8fc94b8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
操作名称作用
溶解___
过滤___
蒸发___
稀释浓硫酸搅拌,加快热量散失,防止局部过热引起酸液飞溅
"} {"image_path": "images/a2c6d75de56b58a6d9ce9ca11cda9b66.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
General
Power consumption333 Watt (Normal On-Mode), 0.4 Watt (Energy saving standby)
Heat Dissipation1,132.2 BTU/hour (max)
Supply VoltageAC 220 V - 240 V, 50 Hz - 60 Hz
Product dimensions695 x 341 x 156 mm (Width x Depth x Height)
Product weight12 kg
Noise LevelNormal:34 dB (A) - Economy:20 dB (A)
Supported TemperatureStorage -10° C -60° C
Supported HumidityOperation 20% -80%, Storage 10% -90%
"} {"image_path": "images/8992d29f723ad5620331762f0e00804a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目本报告期上年同期
归属于上市公司股东的净利润盈利:8,000万元-9,750万元盈利:33,680.63万元
比上年同期下降:71.05%-76.25%
扣除非经常性损益后的净利润盈利:4,000万元-5,700万元盈利:28,285.73万元
比上年同期下降:79.85%-85.86%
基本每股收益盈利:0.158元/股-0.192元/股盈利:0.663元/股
"} {"image_path": "images/6a99c2d60058edadb2e3b7c9174ebc29.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Polymersfiller (396)stabilizer (396)
addition polymerization (384)flame retardant (396)step growth (384)
adhesive (394)graft copolymer (394)syndiotactic (390)
atactic (390)initiator (384)terminator (385)
bifunctional (387)injection molding (417)thermoplastic elastomer (394)
blend (386)isotactic (390)thermoplastic polymers (393)
block copolymer (385)linear molecular structure (387)thermosetting polymers (394)
blow molding (419)mer (384)transfer molding (419)
chain growth (384)monomer (384)vulcanization (391)
colorant (397)network copolymer (395) Composites
compression molding (419)network molecular structure (387)advanced composites (400)
condensation polymerization (384)pigment (397)aggregate composite (404)
copolymer (385)plastics (383)anisotropic (400)
degree of polymerization (389)plasticizer (396)carbon-carbon composite (402)
dye (397)polyfunctional (387)ceramic-matrix composite (402)
elastomer (394)polymer (384)cermet (405)
engineering polymer (393)polymerization (384)continuous fiber (400)
extended length (390)reinforcement (396)discrete (chopped) fiber (400)
extrusion molding (417)root-mean-square length (389)dispersion-strengthened metal (405)
"} {"image_path": "images/89f81e149ec6b26ed07c6bc8f7c71a11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Advanced Features
SecurityKensington lock
3DNo
2D Colour ModesDynamic, Natural,Cinema, Vivid
Other features4K enhancement, Auto power On, Auto source search, CEC compatible, Digital zoom, Frame interpolation, ISF certification, Long light source life, Quick Corner
InteractivityNo
Projector controlvia: Crestron, Crestron Integrated Partner, AMX Device Discovery, Control4 Simple Device Discovery Protocol
"} {"image_path": "images/77310c4f5dd7f4371d18907a39e38ef2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2023 \\$ real203020402050
Carbon (\\$/tCO$ _{2} $e)135175200
"} {"image_path": "images/49ac27f3a9cefee0a3283093b577dde2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Volumen i mio. DKK.Vækst i pct. ift. 2023
Andre transportmidler1.215-57,5 %
Medicinske og pharmaceutiske produkter39437,4 %
Kontormaskiner; autom.databehandlingsudstyr195203,2 %
"} {"image_path": "images/934cea0c7319688e143ef024175572c6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
水果合计苹果西瓜橘子
数量
"} {"image_path": "images/9f52fe68f52a36dfed7431502f56eb92.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x···-12-6-4-3-2-11234612···
$ y=\\frac{6}{x} $···-1.5-2621···
$ y=\\frac{12}{x} $···-1-2-4-612431···
"} {"image_path": "images/da1eb7a0f48d18766242bead55fae89d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工作分类负责领导工作人员
总指挥陈军吕屹
总进度统筹陈果
对外协调科技厅、校内陈军吕英俊
发展改革委
财政厅
网信办肖晟
技术方案肖晟杨阳
中心内部协调游胜陈坚
采购游胜陈坚
"} {"image_path": "images/aee8d82abf995beff0f0aaf793c359a7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
大洲亚洲欧洲非洲南美洲
最低海拔/m-415-28-156-40
"} {"image_path": "images/8e1a7ca43430db28e2163406f3c8e75b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
医院等级维保市场规模
三级医院数量400亿元
二级医院数量390亿元
一级医院数量340亿元
"} {"image_path": "images/cdf786d725321f5c8f93eb44fa4d9458.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
行次期末余额年初余额负债和所有者权益行次期末余额年初余额
流动资产:流动负债:
货币资金13,602,815.6514,183,691.39短期借款310.000.00
短期投资20.000.00应付票据320.000.00
应收票据37,487,561.729,635,424.68应付账款333,942,600.0039,753,338.17
应收账款4264,528,792.53351,734,309.52预收账款349,660,947.5410,672,406.24
预付账款544,032,141.5466,674,940.58应付职工薪酬35156,500.00109,000.00
应收股利60.000.00应交税费36-6,945,213.175,922,241.91
应收利息70.000.00应付利息370.000.00
其他应收款819,066,493.9216,354,878.56应付利润380.000.00
存货90.000.00其他应付款39163,146,950.89290,964,567.67
其中:原材料100.000.00其他流动负债400.000.00
在产品110.000.00流动负债合计41169,961,785.26347,421,553.99
库存商品120.000.00非流动负债:
周转材料130.000.00长期借款420.000.00
其他流动资产140.005,356,474.04长期应付款430.000.00
流动资产合计15338,717,805.36464,739,718.77递延收益440.000.00
非流动资产:其他非流动负债450.000.00
长期债券投资160.000.00非流动负债合计460.000.00
长期股权投资170.000.00负债合计47169,961,785.26347,421,553.99
固定资产原价184,986,483.065,043,890.14
减:累计折旧193,065,717.352,719,470.66
固定资产账面价值201,920,765.712,324,419.48
在建工程210.000.00
工程物资220.000.00
固定资产清理230.000.00
生物性生物资产240.000.00所有者权益(或股东权益):
无形资产250.000.00实收资本(或股本)4860,000,000.0053,599,000.00
开发支出260.000.00资本公积490.000.00
长期待摊费用270.000.00盈余公积500.002,980,816.75
其他非流动资产280.000.00未分配利润51110,676,785.8163,062,767.51
流动资产合计291,920,765.712, 24,419.48所有者权益(或股东权益)合计52170,676,785.81119,642,584.26
产合计30340,638,571.07467, 64,138.25负债和所有者权益(或股东权益)总计53340,638,571.07467,064,138.25
"} {"image_path": "images/3512d9214134b415c7907ea214234dcc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
种类连环画故事书科技书
三(1)班本数
三(2)班本数
"} {"image_path": "images/74929b1b614092dc83f9cecba122001e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
总股本(亿股)265.78
总市值(亿元):5020.50
一年最低/最高(元):13.74/20.49
近3月换手率:34.11%
"} {"image_path": "images/e7e76c6657a486e76fc6bdcf8ad7a6b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
数量/下60以下60~8081~100101~120120以上
人数
"} {"image_path": "images/9743bdeac0affdc031729362316e8cec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
气体的来源不同气体的含量
氮气氧气二氧化碳其他气体(包括水汽)
吸入的气体78210.030.97
呼出的气体781642
"} {"image_path": "images/baddba0f0f31c2b582c9b09273fa9424.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Words learnedNew words formed
-$ ize $
general
normal
public
minimum
immune
mobile
-$ or $
invest
dictate
conquer
investigate
moderate
elevator
"} {"image_path": "images/6bf582a76479591e362caf94972bd2e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
关键财务与估值指标202220232024E2025E2026E
每股收益4.224.805.035.546.09
每股红利1.962.803.023.323.65
每股净资产20.4323.1827.5229.7432.17
ROIC18%16%17%19%21%
ROE21%21%18%19%19%
毛利率25%27%28%28%28%
EBIT Margin9%9%10%10%10%
EBITDA Margin11%11%11%11%11%
收入增长1%8%9%7%7%
净利润增长率3%14%14%10%10%
资产负债率66%66%58%58%57%
股息率2.7%3.8%4.5%4.9%5.4%
P/E17.415.314.613.212.0
P/B3.63.22.72.52.3
EV/EBITDA21.119.319.017.616.5
"} {"image_path": "images/8e3f816445556bd695f38168d8995ed5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
7. 我的收获。
"} {"image_path": "images/6ee5e6a3b7cf7e8b8b0adea36ff83bc2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Accumulated YoY %September YoY %September change $ rate^{\\ast} $ compared with 2019MoM change of change $ rate^{\\ast} $
Floor space of commercial buildings sold-7.5-10.1-29.8+4.7
Floor space of buildings newly started-23.4-14.6-59.7+4.9
Floor space of buildings under construction-7.1-7.1----
Floor space of buildings completed19.825.3----
Investment in real estate development-9.1-11.2-15.7-1.8
"} {"image_path": "images/b8bf2ae6df7abc24e419dabe7ebd27f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
餐次交换份数(份)
谷薯类蔬菜类肉蛋类/大豆类油脂类奶类水果类
早餐2份-1份---
加餐----0.5份0.25份
午餐3份0.5份1.75份1份--
加餐1份---0.5份0.25份
晚餐3份0.5份1.75份1份--
加餐1份---0.75份0.25份
合计10份1份4.5份2份1.75份0.75份
"} {"image_path": "images/2d85fefe43aebee306535780ff306aaa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2023 \\$ realup to 203020402050
Brent oil (\\$/bbl)706350
Henry Hub gas (\\$/mmBtu)4.04.04.0
Refining marker margin (RMM)$ ^{b} $★(\\$/bbl)14129
"} {"image_path": "images/d7b25ac539d89a2c6bbef4fb82ff0d43.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
全球市场指数名称收盘价涨跌额涨跌幅
美股道琼斯指数34764.82+506.50+1.48%
纳斯达克指数15052.24+155.39+1.04%
标普500指数4448.98+53.34+1.21%
欧股英国富时100指数7078.35-5.02-0.07%
德国DAX 30指数15643.97+137.23+0.88%
法国CAC 40指数6701.98+64.98+0.98%
商品市场商品名称结算价涨跌额涨跌幅
商品期货NYMEX原油期货73.30美元/桶+1.07美元+1.48%
布伦特原油期货77.25美元/桶+1.06美元+1.39%
COMEX黄金期货1749.8美元/盎司-29美元+1.63%
"} {"image_path": "images/773665db2fbce562439b06fab9ff55dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
贷款金额贷款年限等额本息等额本金
月供总还款额首月月供逐月递减总还款额
100万10年10412元124.95万12166.67元31.94元123.19万
20年6380元153.13万8000元15.97元146.19万
30年5126.44元184.55万6611.11元10.65元169.19万
200万10年20824.23元249.89万24333.33元63.88元246.38万
20年12761.2元306.27万16000元31.94元292.38万
30年10252.89元369.1万13222.22元21.3元338.38万
300万10年31236.34元374.84万36500元95.82元369.58万
20年19141.8元459.4万24000元47.91元438.48万
30年15379.33元553.66万19833.33元31.95元507.58万
500万10年52060.56元624.73万60833.33元127.76元615.96万
20年31903元765.67万40000元63.88元730.96万
30年25632.22元922.76万33055.56元42.6元845.96万
"} {"image_path": "images/59c90c87e915744e618b3aac9bed08a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GAAP
(除每股收益以外,其余数据单位均为百万美元)2024 财年第一季度2023 财年第四季度2023 财年第一季度环比同比
收入\\$7,192\\$6,051\\$8,288增长 19%下降 13%
毛利率64.6%63.3%65.5%增长 1.3 个百分点下降 0.9 个百分点
运营费用\\$2,508\\$2,576\\$3,563下降 3%下降 30%
营业收入\\$2,140\\$1,257\\$1,868增长 70%增长 15%
净收益\\$2,043\\$1,414\\$1,618增长 44%增长 26%
摊薄每股收益\\$0.82\\$0.57\\$0.64增长 44%增长 28%
"} {"image_path": "images/2ce4ceababde6419330a44618d009d0a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
普通发票专用发票
不含税金额税额开票金额不含税金额税额开票金额
8119.651380.359500.005825.24174.766000.00
"} {"image_path": "images/0ed96b1dfdf84fa1f01122540ecd134e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
银行产品名称期限利率较基准利率起存金额(元)
建设银行旺财存款B款3年3.85%上浮40%50000
大额存单(仅限社保卡用户)3.85%上浮40%5000
工商银行整存整取(社保卡专享)3年3.85%上浮40%5000
整存整取(潜力客户专享)3.85%上浮40%30000
工银压岁金(宝贝客群专属)3.85%上浮40%50
中国银行整存整取3年3.85%上浮40%50000
3.7125%上浮35%10000
3.575%上浮30%5000
农业银行农银银利多3年3.85%上浮40%20000
浦发银行安享赢3年3.90%上浮42%1000
招商银行享定存3年3.59%上浮30%50000
5年3.63%上浮32%
上海银行心意稳存(美好款)3年4.00%上浮45%30000
心意稳存(鸿运款)4.00%上浮45%50000
心意稳存(鸿运款)4.10%上浮49%100000
兴业银行福运金3年3.70%上浮35%50
平安银行专属1号3年3.90%上浮42%50000
专属2号3.85%上浮40%20000
华夏银行年年乐3号B款3年3.75%上浮36%50000
广发银行2021新年特别版个人定制存款3年3.90%上浮42%10000
厦门国际银行整存整取定期存款3年4.125%上浮50%10000
"} {"image_path": "images/ff9f774cb750dfa8cbc4f2202bcfeac0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
已收总额欠款总额
1700064029.4
"} {"image_path": "images/f6911c5324152b759e69b7ed027862f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Share CapitalRetained EarningsRevaluationTotal
At Jan. 01, 2023\\$55,000--\\$83,423
Changes in accounting policy----
Prior period error correction----
Add: New Paid in Capital\\$10,000--\\$10,000
New Profit for the year-\\$15,328-\\$15,328
Revaluation gain--\\$500\\$500
Deduct: Owner's Withdrawal-\\$5,000-\\$5,000
"} {"image_path": "images/6939904b178edf21effa372f0ec4e47a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日期摘要说明收入金额支出金额
1/1$ ^{\\ast\\ast\\ast\\ast\\ast} $1,200.00
1/1$ ^{\\ast\\ast\\ast\\ast\\ast} $1,000.00
1/2$ ^{\\ast\\ast\\ast\\ast\\ast} $1,500.00
1/2$ ^{\\ast\\ast\\ast\\ast\\ast} $800.00
1/3$ ^{\\ast\\ast\\ast\\ast\\ast} $1,700.00
1/3$ ^{\\ast\\ast\\ast\\ast\\ast} $600.00
1/4$ ^{\\ast\\ast\\ast\\ast\\ast} $1,800.00
1/5$ ^{\\ast\\ast\\ast\\ast\\ast} $1,200.00
1/6$ ^{\\ast\\ast\\ast\\ast\\ast} $1,200.00
1/7$ ^{\\ast\\ast\\ast\\ast\\ast} $1,000.00
1/8$ ^{\\ast\\ast\\ast\\ast\\ast} $1,100.00
1/9$ ^{\\ast\\ast\\ast\\ast\\ast} $700.00
1/10$ ^{\\ast\\ast\\ast\\ast\\ast} $1 200 00
"} {"image_path": "images/6f19cf7159e875fc1c5bcb3a0e6eeadc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
企业名称药品名称批准日期2022销售额 (亿元)2023销售额 (亿元)同比增长
百济神州替雷利珠单抗2019/12/314.229亿美元 (人民币28.59亿)5.366亿美元 (人民币38.06亿)33%
信达生物信迪利单抗2018/12/242.933亿美元3.934亿美元 (约人民币28亿)34%
康方生物卡度尼利单抗2022/6/285.4613.58149%
派安普利单抗 (正大天晴)2021/8/35.58 (约)2.73 (约)/
复宏汉霖斯鲁利单抗2022/3/223.39111.198230%
君实生物特瑞普利单抗2018/12/177.369.1925%
思路迪 /康宁杰瑞/ 先声药业恩沃利单抗2021/11/245.6746.34912%
乐普生物普特利单抗2022/7/190.1561.014551%
基石药业舒格利单抗2021/12/200.298 (特许权使用费)0.314 (特许权使用费)5%
誉衡药业赛帕利单抗2021/8/251.2 (约)1.12 (1-5月)/
恒瑞医药卡瑞利珠单抗2019/6/3未披露未披露/
阿得贝利单抗2023/2/28未披露未披露/
李氏大药厂索卡佐利单抗2023/12/19未披露未披露/
"} {"image_path": "images/f477c15ad381844bcb2811c899b7debd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别现金银行存款合计
收入支出余额收入支出余额收入支出余额
上周末23,05098,700121,750
周一5,00028,05015,000113,70020,000-141,750
周二80027,2502,500111,200-3,300138,450
周三27,250111,200--138,450
周四27,250111,200--138,450
周五27,250111,200--138,450
周六27,250111,200--138,450
周日27,250111,200--138,450
合计5,00080027,25015,0002,500111,20020,0003,300138,450
"} {"image_path": "images/3fc42ffc6af48d03baab3da273fcbfc2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
中国出行GTV(亿)yoy订单数(亿)yoy日均订单(百万)
2024Q1714.1721.14%29.5427.05%32.82
2023Q4716.9272.69%29.3271.46%32.58
2023Q3724.5833.07%28.7832.02%31.98
2023Q2676.1860.51%26.7447.73%29.71
2023Q1589.5322.61%23.2514.36%25.83
2022Q4415.1617.119.00
2022Q3544.521.824.22
2022Q2421.2618.120.11
2022Q1480.8220.3322.59
2021Q456223.07-11.10%25.63
2021Q358423.56-0.76%26.18
2021Q264625.749.16%28.56
2021Q1546112.45%22.81115.60%25.34
2020全年1891-6.57%77.5-10.59%21.53
2020Q463214.70%25.9511.33%28.83
2020Q35849.57%23.744.17%26.38
2020Q2418-15.38%17.23-19.03%19.14
2020Q1257-42.38%10.58-45.18%11.76
2019全年2024-1.03%86.68-1.38%24.08
2019Q455123.3125.90
2019Q353322.7925.32
2019Q249421.2823.64
2019Q144619.321.44
2018全年204587.8924.41
"} {"image_path": "images/1ab7a58dd2af634b0e759225f0b015f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
应纳税所得额税率应纳所得税净利润
439269.915.00%21963.50417306.41
"} {"image_path": "images/b5219aecb00d73c6410ad905fc245f51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
成长能力指标20222021202020192018
净利润(元)1.13亿9063.83万1.20亿6331.11万3831.57万
净利润同比增长率25.17%-24.33%89.21%65.24%
扣非净利润(元)1.03亿8280.63万1.05亿6303.22万3870.85万
扣非净利润同比增长率24.90%-21.20%66.72%62.84%
营业总收入(元)23.79亿21.97亿20.64亿19.58亿18.26亿
营业总收入同比增长率8.29%6.46%5.43%7.22%
每股指标
基本每股收益(元)1.41001.12001.9100
每股净资产(元)13.9512.3911.359.819.14
每股资本公积金(元)4.934.844.65
每股未分配利润(元)7.235.865.167.827.45
每股经营现金流(元)4.054.545.465.494.83
盈利能力指标
销售净利率10.43%9.78%13.39%7.93%6.18%
销售毛利率22.90%23.74%26.04%20.47%19.32%
净资产收益率10.65%9.52%17.21%12.03%8.53%
净资产收益率-摊薄10.09%9.07%13.09%12.91%8.39%
"} {"image_path": "images/0905969f90d1b94cdacdcc8f17f3aeb5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份收入成本费用利润利润比例
1月5,6783,7401,4694692.59%
2月3,3682,2228732731.51%
3月7,0004,4201,9806003.32%
4月7,9084,4281,5201,96010.83%
5月6,3103,5341,1081,6689.22%
6月3,9642,2208728724.82%
7月8,7134,8791,6662,16811.98%
8月9,9785,5881,3213,06916.96%
9月6,5873,6891,0381,86010.28%
10月5,0112,8068891,3167.27%
11月6,3522,3101,2082,83415.66%
12月3,3961,5028871,0075.56%
"} {"image_path": "images/9b1291fb7321cffc5384226a9801b225.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科类/批次专业名称最低分平均分
单独招生普通批建筑装饰工程技术456470
单独招生普通批工程造价440462
单独招生普通批建设工程管理352425
单独招生普通批现代物业管理352414
单独招生普通批机械设计与制造432458
单独招生普通批数控技术437461
单独招生普通批模具设计与制造359424
单独招生普通批工业机器人技术357430
单独招生普通批汽车制造与试验技术363426
单独招生普通批新能源汽车技术468479
单独招生普通批汽车电子技术361429
单独招生普通批智能网联汽车技术360429
单独招生普通批智能产品开发与应用359428
单独招生普通批大数据技术464481
单独招生普通批人工智能技术应用460476
单独招生普通批动漫制作技术450470
单独招生普通批现代移动通信技术453472
单独招生普通批金融科技应用358423
单独招生普通批国际经济与贸易366425
单独招生普通批国际经济与贸易(内地与港澳台合作办学)324386
单独招生普通批市场营销350412
单独招生普通批电子商务355422
单独招生普通批跨境电子商务385438
单独招生普通批旅游管理359420
单独招生普通批酒店管理与数字化运营356419
单独招生普通批酒店管理与数字化运营(内地与港澳台合作办学)315367
单独招生普通批智慧景区开发与管理355419
单独招生普通批烹饪工艺与营养447465
单独招生普通批西式烹饪工艺456472
单独招生普通批艺术设计(内地与港澳台合作办学)311370
单独招生普通批数字媒体艺术设计462474
单独招生普通批服装与服饰设计372437
单独招生普通批环境艺术设计353422
单独招生普通批网络新闻与传播438469
单独招生普通批传播与策划456472
单独招生普通批应用泰语353401
单独招生普通批应用越南语350400
对口招生普通批传播与策划460468
对口招生普通批传播与策划(技能特长生)370370
对口招生普通批大数据技术435465
对口招生普通批大数据技术(技能特长生)275354
对口招生普通批大数据与会计430460
对口招生普通批大数据与会计(技能特长生)250359
对口招生普通批电子商务425450
对口招生普通批电子商务(技能特长生)270357
对口招生普通批动漫制作技术500530
对口招生普通批动漫制作技术(技能特长生)390418
对口招生普通批服装与服饰设计385419
对口招生普通批服装与服饰设计(技能特长生)235290
对口招生普通批工程造价360407
对口招生普通批工业机器人技术445465
对口招生普通批工业机器人技术(技能特长生)355395
对口招生普通批机械设计与制造465474
对口招生普通批机械设计与制造(技能特长生)450450
对口招生普通批建设工程管理340384
对口招生普通批建设工程管理(技能特长生)285285
对口招生普通批建筑装饰工程技术(技能特长生)390431
对口招生普通批建筑装饰工程技术(技能特长生)280298
对口招生普通批酒店管理与数字化运营340385
对口招生普通批酒店管理与数字化运营(技能特长生)235319
对口招生普通批跨境电子商务425465
对口招生普通批跨境电子商务(技能特长生)215326
对口招生普通批旅游管理395420
对口招生普通批旅游管理(技能特长生)260355
对口招生普通批烹饪工艺与营养375412
对口招生普通批烹饪工艺与营养(技能特长生)220290
对口招生普通批汽车制造与试验技术340389
对口招生普通批汽车制造与试验技术(技能特长生)235235
对口招生普通批人工智能技术应用370434
对口招生普通批人工智能技术应用(技能特长生)340430
对口招生普通批市场营销340387
对口招生普通批市场营销(技能特长生)235311
对口招生普通批数控技术430457
对口招生普通批数控技术(技能特长生)210312
对口招生普通批数字媒体艺术设计445471
对口招生普通批数字媒体艺术设计(技能特长生)230293
对口招生普通批网络新闻与传播420446
对口招生普通批物联网应用技术400447
对口招生普通批物联网应用技术(技能特长生)240331
对口招生普通批西式烹饪工艺390422
对口招生普通批西式烹饪工艺(技能特长生)225278
对口招生普通批现代物业管理340385
对口招生普通批现代移动通信技术340409
对口招生普通批现代移动通信技术(技能特长生)350353
对口招生普通批新能源汽车技术400437
对口招生普通批新能源汽车技术(技能特长生)245281
对口招生普通批信息安全技术应用435473
对口招生普通批信息安全技术应用(技能特长生)240341
对口招生普通批学前教育400435
对口招生普通批学前教育(技能特长生)270339
对口招生普通批应用泰语345397
对口招生普通批应用越南语340367
对口招生普通批应用越南语(技能特长生)390390
对口招生普通批智慧景区开发与管理340407
对口招生普通批智能产品开发与应用380421
对口招生普通批智能产品开发与应用(技能特长生)360363
"} {"image_path": "images/6173e57f9a0f03d98e52367f6f88871e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1贵州茅台控股股东茅台集团获得农业银行不超27亿元增持贷款承诺函
"} {"image_path": "images/a4b40ac1bc2340d1ffd4add5ad45ebcc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
计件工资统计表 可筛选
计件登记数量总计平均单价工资总计
4855.72742
日期岗位姓名品名单位计件数量计件单价计件工资
1/1生产部姓名1品名1505250
1/2生产部姓名2品名1605300
1/3生产部姓名3品名1825410
1/1生产部姓名4品名2236138
1/3生产部姓名5品名3457315
1/2生产部姓名6品名4688544
1/3生产部姓名7品名2245120
1/2生产部姓名8品名2585290
1/1生产部姓名9品名2755375
"} {"image_path": "images/01b2b752e5f5edc20e40837031eb2699.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
企业经营活动产生的现金流 (亿元)增幅(%)净利润 (亿元)增幅(%)经营活动产生的现金流变化原因
贵州茅台131.19-64.18%454.038.89%
五粮液311.37131.88%194.922.28%主要系本报告期贷款中现金收取比例较高,上年同期银行承兑汇票收取比例较高所致
山西汾酒59.80-24.59%85.051.13%
泸州老窖60.64-26.27%76.63-4.54%
洋河股份6.16-69.85%43.44-45.34%
古井贡酒41.553.61%36.622.49%
今世缘10.75-13.75%29.61-9.66%
迎驾贡酒3.17-48.30%15.00-18.20%
口子窖-3.83-9854.35%9.47-26%
老白干酒-0.46-120.513.215.42%
舍得酒业0.67427.77%5.62-29.34%主要系本期支付的各项税费减少所致。
水井坊-5.05不适用1.05-56.52%主要系邛崃全产业生产基地项目(一期)达到预计可使用状态转运营后,原辅料采购及人员、运营费用等经营活动相关的现金流出增加所致
金徽酒3.21-7.22%2.981.12%
伊力特-2.12-1358.84%2.34-11.67%主要系报告期内销售商品、提供劳务收到的现金减少所致
天佑德酒0.54136.47%0.51-35.37%主要原因系按合同约定支付的包材款、原辅材料款、外购的商品款均较上年同期减少所致。
酒鬼酒-2.34-12.23%0.09-92.60%
金种子-1.19不适用-0.71-575.04%主要系报告期较上年同期减少支付税金所致
皇台酒业-0.26-247.45%-0.05-32.59%收入下降,收到的销售款项较去年同期有所下降所致
华致酒行1.172.94%56.00-0.64%主要系购买商品支付的现金减少所致。
酒便利36.00149.79%-62.00-6.42%主要原因是报告期内公司人员减少,业绩下降,对应支付人员成本及税金减少。
"} {"image_path": "images/b60fc1f26277f7d525f0ed29d5bbe755.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
本年数本年指标/预算完成率/已使用比率
营业收入185.21500.0037%
营业利润92.54200.0046%
营业成本35.2290.0039%
管理费用25.9130.0086%
销售费用25.9650.0052%
财务费用12.7520.0064%
"} {"image_path": "images/2401f0f115e36e66f5f9c6ada640f7f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
计件工资统计表 可筛选
计件登记数量总计平均单价工资总计
4855.72742
日期岗位姓名品名单位计件数量计件单价计件工资
1/1生产部姓名1品名1505250
1/2生产部姓名2品名1605300
1/3生产部姓名3品名1825410
1/1生产部姓名4品名2236138
1/3生产部姓名5品名3457315
1/2生产部姓名6品名4688544
1/3生产部姓名7品名2245120
1/2生产部姓名8品名2585290
1/1生产部姓名9品名2755375
"} {"image_path": "images/65e3d5056cb9ad81a9b5bd22333ba083.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
贷款金额贷款年限等额本息等额本金
月供总还款额首月月供逐月递减总还款额
100万10年10412元124.95万12166.67元31.94元123.19万
20年6380元153.13万8000元15.97元146.19万
30年5126.44元184.55万6611.11元10.65元169.19万
200万10年20824.23元249.89万24333.33元63.88元246.38万
20年12761.2元306.27万16000元31.94元292.38万
30年10252.89元369.1万13222.22元21.3元338.38万
300万10年31236.34元374.84万36500元95.82元369.58万
20年19141.8元459.4万24000元47.91元438.48万
30年15379.33元553.66万19833.33元31.95元507.58万
500万10年52060.56元624.73万60833.33元127.76元615.96万
20年31903元765.67万40000元63.88元730.96万
30年25632.22元922.76万33055.56元42.6元845.96万
"} {"image_path": "images/19093ab035af609a2da746cacec01a65.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目本报告期上年同期本报告期比上年同期增减变动幅度(%)
营业收入1,828,063,290.621,544,819,376.3418.34
归属于上市公司股东的净利润241,495,156.15181,055,147.3533.38
归属于上市公司股东的扣除非经常性损益的净利润233,553,303.79179,144,788.3930.37
经营活动产生的现金流量净额186,518,515.2785,370,313.66118.48
基本每股收益(元/股)0.290.2231.82
稀释每股收益(元/股)0.290.2231.82
加权平均净资产收益率(%)5.144.18增加0.96个百分点
本报告期末上年度末本报告期末比上年度末增减变动幅度(%)
总资产11,406,829,120.1811,045,737,341.053.27
归属于上市公司股东的所有者权益4,829,684,269.424,575,255,106.855.56
"} {"image_path": "images/b67ce28dfc60e9097d3382ebde6e696a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标
年度
2008年2009年2010年
一、现金流量分析
(一)现金流动性分析
现金流量与当期债务比(%)13.611528.412238.4279
债务保障率(%)11.176022.807533.9208
(二)获取现金能力分析
每元销售现金净流入(元)0.05030.09480.2436
每股经营现金流量(元)0.30950.77682.2578
全部资产现金回收率(%)3.91201.178811.5697
(三)财务弹性分析
现金流量适合比率(%)118.901480.7985149.2786
现金再投资比率(%)10.456320.465750.4326
现金股利保障倍数(倍)113.9174425.8235953.2789
二、发展能力分析
销售(营业)增长率(%)1.233434.9244-1.7289
资本积累率(%)6.075219.92375.0698
三年资本平均增长率(%)10.1537
三年销售平均增长率(%)10.3096
三、综合评价
主营收入增长率(%)1.233434.9244-1.7289
营业利润增长率(%)-0.9228111.3057-18.4986
息税前利润增长率(%)0.9380105.9733-14.4174
净利润增长率(%)-2.377399.3988-8.8546
"} {"image_path": "images/cd16be84e769ad69f8612c4f0fc45a34.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
非经常性损益项目本期金额
"} {"image_path": "images/0f10df0339308783235d5f13897c72bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
活动平台销售目标仿客数点击量花费仿客占比点击率转化率参加店铺参加商品活动类型活动详情备注
天猫11671946817635.05%3.50%0.50%店铺1商品1满就送购满500元送50元
淘宝18331585514334.81%4%0.60%店铺2商品2全场打折全场产品8.8折起
京东20102779725135.02%3.50%0.50%店铺3商品3店内活动买一送一
唯品会216730510627634.75%3%0.60%店铺4商品4爆款推广新市上品
聚划算159433311630234.83%4%0.50%店铺5商品5不定期折扣随机折扣
"} {"image_path": "images/491d2b80775307a242a06a9b0f1c6a82.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
17:00-18:00GSS Workshop 7
Theme: Future Skyline of Sustainable Development - Beautiful Planet 2061: Youth Efforts to Create the Planetary Art in the Anthropocene
Guest speakers:
Professor SONG Yehao, Profesor of School of Architecture, Tsinghua University
Professor Martijn de Geus, Assistant Professor, School of Architecture, Tsinghua University
LIU Jichen,Founder of Clear Plate® APP, Young Leader for the SDGs endorsed by UN
Moderator: Alice Ho, Schwarzman Scholar, Tsinghua University
20:00-22:10Cross pitch (Mentors come online)
22:00-23:00GSS Workshop 8
Theme: Mobility Redistributed: How COVID-19 Changes Society Through Population (Im)Mobility
Speaker: Professor XIANG Biao, Professor of Social Anthropology from the University of Oxford, the Director of the Max Planck Institute for Social Anthropology
"} {"image_path": "images/b634ab78fde5f8466e0f7afe0cfa3036.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
09:00-10:00GSS Masterclass 7 (Live)
Theme: Effective Learners: Insights on College Student Engagement Research
Speaker: Professor SHI Jinghuan, Professor, Institute of Education; Deputy Chair, University Degree Committee, Tsinghua University
10:30-11:30GSS Masterclass 8 (Live)
Theme: Positive Psychology in Post-Pandemic Era
Speaker: Professor PENG Kaiping, Dean, School of Social Science; Professor of Psychology, Tsinghua University
11:30-12:30Enterprise virtual visit
14:00-15:00Enterprise virtual visit
15:00-16:00GSS Workshop 9
Theme: Youth Exchange during Pandemic - Unity in Diversity 2061: Youth Advocacy for Global Cooperation & Coevolution
Guest speakers:
Enoch Wong, Graduate from Schwarzman College, Tsinghua University; Senior Manager of Online Education and International Cooperation at Tsinghua University and the Assistant Secretary-General of the Global MOOC and Online Education Alliance
Muhammad Wasim Asim, Core Member of THU Student Association, SABRI and ASIC; Beijing Winter Olympics volunteer
16:00-17:00GSS Workshop 10
Theme: Academic Integrity and Sustainability Competence
Guest speakers:
Loretta O'Donnell, PhD, Vice Provost for Academic Affairs, Nazarbayev University Representatives from Tsinghua University and Nazarbayev University
Moderator: Associate Professor ZHONG Zhou, Institute of Education, Tsinghua University
16:00-17:00GSS Workshop 11
Theme: Continuing Professional Development
Guest speakers: QIAO Weifeng, Deputy Secretary of the CPC Party Committee, Institute of Education, Tsinghua University
QIYANG Wu, Deputy Secretary General, China Institute of Communications
ZHOU Lei, Director of Education Industry of ZTE Corporation
Carol Liu, Vice President, Human Resources, Greater China and Korea Business Unit, The Coca-Cola Company
Moderator: LIU Zhen, Director, Tsinghua Southeast Asia Center; Dean of School of Continuing Education, Tsinghua University; Chair Holder, UNESCO Chair for Continuing Engineering Education; Chairman, CPD Committee, Chinese Society of Engineers
17:10-18:10GSS Workshop 12
Theme: Sustainable Lifestyles
Guest speakers:
Frank Hansen, BMW Group Corporate Strategy, Sustainability and Mobility
David FANG, Vice president, Corporate Affairs & Sustainability, Nestlé Zone Greater China
CHI Yufeng, Founder of iHuman and Perfect World
Moderator: Professor LI Jizhen, Associate Dean of School of Economics and Management; Professor of Department of Innovation, Entrepreneurship and Strategy, Tsinghua University
16:10-22:00Team Work
Mentoring(Selective)(Hack Manager)
"} {"image_path": "images/2f39c901e439bd726c431e28c77aa771.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地区2024年R&D经费 (亿元)2024年R&D经费投入强度 (%)修订后2023年R&D经费投入强度 (%)
全国36326.82.692.58
北京3278.46.586.22
天津620.63.443.48
河北967.82.042.00
山西311.81.221.14
内蒙古249.60.950.91
辽宁730.62.242.15
吉林231.71.611.51
黑龙江249.61.511.39
上海2343.74.353.99
江苏4597.53.363.22
浙江2901.43.223.08
安徽1396.22.762.62
福建1257.22.182.14
江西666.31.951.85
山东2597.32.642.53
河南1275.12.012.00
湖北1538.12.562.48
湖南1394.62.622.53
广东5099.63.603.48
广西249.30.870.83
海南109.61.381.18
重庆797.32.482.44
四川1498.82.322.21
贵州231.11.020.98
云南367.41.171.13
西藏7.90.290.28
陕西926.22.612.49
甘肃164.61.271.27
青海33.70.850.79
宁夏95.31.731.59
新疆138.50.670.59
"} {"image_path": "images/95e294eec90476dfa37127b8824527c0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ItemPart No.DescriptionQty.U. Price (US\\$)T. Price (US\\$)
01RS - 14 - 7/32 - 1000BCHAIN WHELL2 PCS/3KGS1 560.003 120.00
027311 - 2010PCB UNIT ASSEMBLAGE5 PCS/5KGS2 352.0011 760.00
03014 - 8169 - 115PADDLE SPINDLE7.50KGS240.001 800.00
0431002901TRIGGER1 PCS/10.5KGS540.00540.00
"} {"image_path": "images/c0a580280fab6fe3b8c134e828d1c92b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目202320242025E2026E2027E
营业收入(百万元)19,65023,34328,01234,25441,932
营业收入增长率4.41%18.79%20.00%22.28%22.42%
归母净利润(百万元)6575607769751,193
归母净利润增长率17.12%-14.78%38.48%25.71%22.34%
摊薄每股收益(元)0.2840.2420.3360.4220.516
每股经营性现金流净额0.151.081.680.820.83
ROE(归属母公司)(摊薄)3.86%3.15%4.25%5.17%6.10%
P/E163.40199.41135.24107.5887.94
P/B6.316.285.755.575.36
"} {"image_path": "images/da2de2cbee774b33ad2baf974eff8b4a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1
2
362
163
4
5
"} {"image_path": "images/b24afbc5bb019b6f0a9511fd0435cce2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
QQ饭卷(鸡蛋肉松) 4.90
照烧鸡肉军舰寿司7.90
QQ抹茶红豆麻糬6.90
韩式鸡肉饭卷5.50
整根香蕉奶昔蛋糕6.90
购物点数5
销售金额32.10
折扣金额0.00
应收金额 32.10
现金100.10
找零68.00
"} {"image_path": "images/60757fb1d81f859561cc270bfd4a0eab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
代码@巴赫师投资持股数市值亿\\$占美股组合比占净资产比较上季度变动比ROE- ttmGICS行业部门
1AAPL苹果300,000,000699.0026.24%11.11%-25.0%179%信息技术
2AXP美国运通151,610,700411.1715.44%6.54%0.0%33%金融
3BAC美国银行766,305,462322.9212.12%5.13%-18.7%8%金融
4KO可口可乐400,000,000287.4410.79%4.57%0.0%40%日常消费品
5CVX雪佛龙118,610,534174.686.56%2.78%0.0%12%能源
6OXY西方石油255,281,524131.574.94%2.09%0.0%11%能源
7MCO穆迪24,669,778117.084.40%1.86%0.0%48%金融
8KHC卡夫亨氏325,634,818114.334.29%1.82%0.0%4%日常消费品
9CB安达保险27,033,78477.962.93%1.24%0.0%15%金融
10DVA达维塔保健36,095,57059.172.22%0.94%0.0%222%医疗保健
11C花旗55,244,79734.581.30%0.55%0.0%4%金融
12SIRISirius XM Holdings112,504,72929.991.13%0.48%-15.3%12%通讯业务
13KR克罗格50,000,00028.651.08%0.46%0.0%22%日常消费品
14VRSN威瑞信12,815,61324.340.91%0.39%0.0%-45%信息技术
15V维萨8,297,46022.810.86%0.36%0.0%49%金融
16MA万事达3,986,64819.690.74%0.31%0.0%165%金融
17AMZN亚马逊10,000,00018.630.70%0.30%0.0%17%非日常生活消费
18AON怡安4,100,00014.190.53%0.23%0.0%41%金融
19COF第一资本金融9,100,00013.630.51%0.22%-7.3%6%金融
20NUNu Holdings86,438,99711.800.44%0.19%-19.3%20%金融
"} {"image_path": "images/c9ecb45c8ba921bf4c5c60f638829d3a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
会计科目 (元)期初余额本月合计结余
借方金额(元)贷方金额(元)
库存现金3,954.9159,000.0061,023.231,931.68
银行存款200,113.12127,724.3264,713.26263,124.18
其他应收款 -暂付款1,241.611,241.61
固定资产607,770.52607,770.52
其他应收款 -缴存公积金378,533.4412,529.79118,075.22272,988.01
零余额帐户用款额度-9,649.109,649.10-
经费支出1,184,860.5895,769.741,280,630.32
应付职工薪酬9.21418.00634.02-206.81
其他应付款 -个人公积金378,533.4446,700.0012,529.79344,363.23
资产基金607,770.52607,770.52
财政拨款收入1,416,951.0685,166.331,502,117.39
其他收入50,385.1250,385.12
财政拨款结余205,300.43194,697.02
合计351790.95351790.95
"} {"image_path": "images/80409bde346bec061804615c26723171.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资产行次年初数期末数负债和净资产行次年初数期末数
流动资产:流动负债:
货币资金12114734.81992473.91短期借款23
短期投资21000000.00应付款项24
应收款项312.42207.31应付工资2514000.0010450.00
预付账款453518.9060831.30应交税金26
存货5预收账款27
待摊费用6预提费用28174369.07116201.04
一年内到期的长期债权投资7预计负债29
其他流动资产8一年内到期的长期负债30
流动资产合计92168266.132053512.52其他流动负债31
流动负债合计32188369.07126651.04
长期投资:
长期股权投资10长期负债:
长期债权投资11长期借款33
长期投资合计120.000.00长期应付款34
固定资产:其他长期负债35
固定资产原价132500.002500.00长期负债合计360.000.00
减:累计折旧1462.50437.50
固定资产净值152437.502062.50受托代理负债:
在建工程16受托代理负债37
文物文化资产17负债合计38188369.07126651.04
固定资产清理18
固定资产合计192437.502062.50净资产:
无形资产:非限定性净资产392000000.001930806.03
无形资产20限定性净资产40-17665.44-1882.05
净资产合计411982334.561928923.98
受托代理资产:
受托代理资产21
资产总计222170703.632055575.02负债和净资产总计422170703.63
"} {"image_path": "images/414a374674b8f6a7c2ddfb92a54dcdbf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
代码名称净利润断层日至今涨幅是否回补高开幅度当日收盘断层价格市盈(动)细分行业三季度环比
605123派克新材202209145.86%0.18%10.00%126.0331.43航空-0.03
002783凯龙股份20220922-11.21%6.80%10.03%9.9013.93化工原料-41.33%
603185上机数控202210101.12%2.04%4.03%137.6514.26电气设备35%
300684中石科技202210113.72%15.66%19.97%13.4436.21化工原料212.28%
003036泰坦股份202210110.95%8.97%10.01%11.5420.66纺织机械19.86%
002965祥鑫科技202210112.42%7.41%10.00%48.4458.12汽车配件112.79%
600699均胜电子202210112.46%7.37%10.01%13.84--汽车配件334.43%
002937兴瑞科技202210114.38%5.36%9.98%19.8539.94元器件40.11%
000707双环科技202210115.63%4.14%10.00%9.064.31化工原料-22.41%
300014亿纬锂能202210112.67%3.40%6.16%84.8960.89电气设备41.92%
000791甘肃电投202210111.62%3.13%4.80%4.9423.36水力发电23.18%
300092科新机电202210118.05%3.04%11.33%8.8219.01专用机械45.84%
601919中远海控202210110.71%3.03%3.76%11.231.41水运-12.45%
300750宁德时代202210113.04%2.84%5.97%404.0062.19电气设备36.05%
002702海欣食品202210113.07%2.76%5.91%5.2262.2食品2206.25%
000822山东海化202210114.21%2.62%6.95%7.835.53化工原料-18.43%
300373扬杰科技202210111.41%2.32%3.76%47.5821.05半导体10.84%
002709天赐材料202210117.67%2.16%10.00%42.5015.17化工原料3.22%
300586美联新材2022101112.21%2.02%14.48%16.6325.39化工原料-43.71%
002258利尔化学202210114.84%2.96%7.94%18.807农药化肥-15%
"} {"image_path": "images/1ed217956179009d8343966a97250044.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
爱亿华夹心棉花糖香1.000
9.90/9.909.90/0.00
拾光悠味辣棒1.000
3.50/3.503.50/0.00
美驴蒸栗仁0.048Kg
76.00/76.003.65/0.00
大綦甘栗仁0.068Kg
79.60/79.605.41/0.00
搞大路烤肉串(散称0.018Kg
90.00/90.001.62/0.00
味觉大战(散称)0.102Kg
23.60/23.602.41/0.00
秋滋味小山核桃仁原0.022Kg
256.00/256.005.63/0.00
三分甜加州西梅0.058Kg
39.60/39.602.30/0.00
享味铺鸡爪(散称)0.040Kg
73.60/73.602.94/0.00
小猫妖果酒奶油红茶1.000
18.00/18.0018.00/0.00
"} {"image_path": "images/13950ca0ce39a4056ffc7f32cda5a62d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
5000mAh10000mAh
产品名称流云流云
产品型号EC-S1-16/EC-S1-64EC-S1Plus-16
电池类型锂聚合物电池锂聚合物电池
额定容量3.7V/5000mAh(18.5Wh)3.7V/10000mAh(37Wh)
标准输入5V-2.4A5V-2.4A
标准输出5V-2.4A5V-2.4A
产品尺寸140mm×62mm×8.9mm140mm×62mm×14.4mm
执行温度0℃~40℃0℃~40℃
存储容量16GB/64GB16GB
存储方案MLC NAND FLASHMLC NAND FLASH
WIFI最大连接数3232
核心芯片MT7688MT7688
充电时间以2.4A电流充电3小时充满以2.4A电流充电5小时充满
"} {"image_path": "images/9cb66931ab4487b9e2ef62c33f1058ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
充电电量指示灯状态
0%-20%红色呼吸
20%-40%橘色呼吸
40%-100%白色呼吸
100%白色长亮
工作电量指示灯状态
100%-40%白色长亮
40%-20%橘色长亮
20%-10%红色长亮
<10%红色闪烁三次(无法开机)
"} {"image_path": "images/0553941e7b2d4c40da9a235806989bd0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目行次本期数本年累计数
一、主营业务收入10.0028902.25
减:主营业务成本40.000.00
主营业务税金及附加51365.301604.07
二、主营业务利润(亏损以“-”号填列)10-1365.3027298.18
加:其他业务利润(亏损以“-”号填列)110.000.00
减:营业费用140.000.00
管理费用1510221.1526310.79
财务费用160.00-0.12
三、营业利润(亏损以“-”号填列)18-11586.45987.51
加:投资收益(亏损以“-”号填列)19
补贴收入22
营业外收入230.000.00
减:营业外支出250.000.00
四、利润总额(亏损以“-”号填列)27-11586.45987.51
减:所得税281348.381459.33
五、净利润(亏损以“-”号填列)30-12934.83-471.82
"} {"image_path": "images/5154061a1d8b80deb7698df54c33ebfb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
发票抬头北京多来点信息技术有限公...
金额46.23元
税额2.77元
价税合计49.00元
销方名称北京肯德基有限公司
销方地址北京市东城区朝阳门北大街8号富华大厦A座六层
发票代码011001600111
发票号码30417397
"} {"image_path": "images/59648c02545c97515f25172d2fb3502c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
摘要科目金额记账
总账科目明细科目借方贷方
材料验收入库原材料甲材料102 000
乙材料101 000
丙材料101 000
在途物资甲材料102 000
乙材料101 000
丙材料101 000
合计304 000304 000
"} {"image_path": "images/75855618d08bc45b9b455b17543f3c29.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Low234High
Panel A: Size-B/M portfolios
Small0.260.810.851.011.15
20.480.720.940.941.02
30.500.780.790.881.07
40.600.570.710.850.86
Big0.460.510.480.560.62
Panel B: Size-OP portfolios
Small0.560.940.900.950.88
20.590.780.840.810.98
30.530.770.720.780.94
40.570.650.630.700.82
Big0.390.330.430.470.57
Panel C: Size-Inv portfolios
Small1.010.980.990.890.35
20.920.910.920.900.48
30.900.930.810.820.50
40.790.720.710.750.54
Big0.710.520.490.480.42
"} {"image_path": "images/3291d7c4bb51e596ef21d87f43f3b5f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电 缆 种 类支架上敷设梯架、托盘内敷设
控制电缆明敷120200
电力电缆明敷10kV 及以下电力电缆
(除 6kV~10kV 交联聚乙烯绝缘电力电缆)
150250
6kV~10kV 交联聚乙烯绝缘电力电缆200300
35kV 单芯电力电缆250300
35kV 三芯电力电缆300350
"} {"image_path": "images/950c99eb1f4e830d394018fedee58341.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EventsSintilimab-combination (N=266)Placebo-combination (N=131)
All grade≥ Grade 3All grade≥ Grade 3
Any event115 (43.2)15 (5.6)48 (36.6)8 (6.1)
Hypothyroidism19 (7.1)07 (5.3)0
Rash17 (6.4)1 (0.4)6 (4.6)3 (2.3)
Increased aspartate aminotransferase16 (6.0)07 (5.3)0
Increased alanine aminotransferase15 (5.6)07 (5.3)0
Increased thyroid stimulating hormone13 (4.9)03 (2.3)0
Hyperthyroidism12 (4.5)02 (1.5)0
Diarrhoea12 (4.5)05 (3.8)0
Immune-mediated pneumonitis9 (3.4)2 (0.8)2 (1.5)1 (0.8)
Decreased thyroid stimulating hormone9 (3.4)03 (2.3)0
Increased amylase8 (3.0)3 (1.1)10 (7.6)0
Pruritus6 (2.3)04 (3.1)0
Increased free thyroxine3 (1.1)04 (3.1)0
"} {"image_path": "images/ec6cbc1570b370f9397e96f6fbad12e4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
耐火等级B级A级
电缆种类耐火聚氯乙烯电缆/耐火温水交联电缆
绝缘层B级单层,A级双层云母带半叠绕包
PVC 绝缘料/XLPE料
内衬层无铠B级一层,A级双层阻燃带重叠绕包
有铠四层阻燃带重叠绕包
填充阻燃PP绳
铠装层单芯:铝带/不锈钢带。多芯:涂漆或镀锌钢带。双层间隙绕包
外护套阻燃 PVC 护套料
B级:$ OI\\geqslant30\\% $;A级:$ OI\\geqslant35\\% $
"} {"image_path": "images/89118e21ae5569b2c003ded5675995b7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
设备最高电压/kV标称系统电压/kV
72.566
126110
252220
"} {"image_path": "images/d31979ad21d3f291287e56b990601b2e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
接地装置接地电阻(Ω)
并联运行发电机或变压器总容量>100kVA≤4
总容量≤100kVA≤10
高压电力设备接地(Δ/Y变配电系统)≤10
重复接地、防雷设备接地≤10
防静电接地≤100
火灾自动报警系统、综合布线系统、通信系统等单独接地<4
共用接地<1
"} {"image_path": "images/d4ff4b6c58dbba53e587e6cdfaa68387.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CharacteristicsUnivariateMultivariate
HR95% CIpHR95% CIp
Age
18–35 years (reference)
36–55 years0.790.47–1.350.390.660.37–1.120.15
55 and over0.960.53–1.720.880.510.26–0.970.04
Sex
Male (reference)
Female1.050.66–1.660.841.280.79–2.090.32
Race
White (reference)
Black1.540.80–2.960.201.250.62–2.530.54
Other2.031.06–3.890.031.500.74–3.040.26
Tumor size
1–25 mm (reference)
26–50 mm3.081.14–8.290.034.961.76–13.98<0.01
> 50 mm4.621.54–13.87<0.014.671.43–15.230.01
Surgery
None (reference)
Sub-total resection2.080.89–4.860.091.890.72–6.380.16
Gross-total resection2.120.75–5.980.162.150.78–4.600.16
Radiation
None (reference)
Performed0.680.42–1.090.110.630.34–1.140.13
None (reference)
Administered0.780.47–1.290.330.900.34–1.140.74
"} {"image_path": "images/caf7a608c596b1b5222d4903b9cc4fb9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
变压器容量(kVA)
项目
100~10001250~2500
变压器侧面具有IP2X防护等级及以上的金属外壳A0.60.8
变压器侧面具有IP3X防护等级及以上的金属外壳A可贴邻布置可贴邻布置
考虑变压器外壳之间有一台变压器拉出防护外壳B变压器宽度b+0.6变压器宽度b+0.6
不考虑变压器外壳之间有一台变压器拉出防护外壳B1.01.2
"} {"image_path": "images/0fda396611db50c40464c9ca4c7ca986.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
9综合中学生聪明屋寒暑假作业系列丛书 寒假作业七年级上册寒假作业中国地图出版社集团有限公司
10综合创新成功学习 快乐寒假七年级上册寒假作业云南科技出版社有限责任公司
11综合寒假作业七年级上册寒假作业知识出版社
12综合寒假生活指导七年级上册寒假作业青岛出版社有限公司
13综合新优化设计寒假作业七年级上册寒假作业湖南师范大学出版社有限公司
14综合假期有约・寒假作业七年级上册寒假作业长江出版社(武汉)有限公司
15综合云南省标准教辅 初中寒假快乐提升七年级上册寒假作业云南晨光出版社有限责任公司
16综合寒假作业(综合)七年级上册寒假作业延边教育出版社
17综合寒假能力培养综合作业七年级上册寒假作业人民东方出版传媒有限公司(东方出版社)
18综合青于蓝启典・寒假作业七年级上册寒假作业广东经济出版社有限公司
19综合寒假天地七年级上册寒假作业河北少年儿童出版社
20综合阳光假期七年级上册寒假作业湖南少年儿童出版社有限责任公司
"} {"image_path": "images/f4c622aa38c131fc6b53f1005c37bed2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称单位需要取得的资格证
锅炉获得安装许可的单位;锅炉的制造单位
压力容器现场组焊(1)压力容器制造单位
(2)A3级资格的单位
现场安装(1)压力容器安装许可证
(2)压力容器制造单位
(3)GC1级压力管道安装许可资格的单位
(4)二级(含二级)以上锅炉安装资格的单位
"} {"image_path": "images/46a7c5165a6c03b9a369b687b33ad00f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
254
58623
152
8194
43
3291
349
23784
723
"} {"image_path": "images/5b4a8440539aa7045953e12441a2fc95.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RankDetectorAUC ROCMacroFI @5%FPR
1Fast-Detect-GPT0.92380.8471
2Binoculars0.90480.7568
3mDeBERTa-v3-base-MultiSocial0.88710.8011
4Mistral-7b-v0.1-MultiSocial0.86140.7673
5Aya-101-MultiSocial0.85740.7556
6Llama-3-8b-MultiSocial0.85490.7352
7XLM-RoBERTa-large-MultiSocial0.79280.7108
8Falcon-rw-1b-MultiSocial0.77100.6912
9DetectLLM-LRR0.75590.7121
10LLM-Deviation0.72570.5931
11Longformer Detector0.70320.5018
12S50.68490.5506
13ChatGPT-Detector-RoBERTa-Chinese0.67880.6161
14BLOOMZ-3b-MultiSocial0.65150.6026
15RoBERTa-large-OpenAI-Detector0.53960.4315
16ruRoBERTa-ruatd-binary0.53270.3473
17BLOOMZ-3b-mixed-Detector0.52120.4096
"} {"image_path": "images/0fda396611db50c40464c9ca4c7ca986.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
9综合中学生聪明屋寒暑假作业系列丛书 寒假作业七年级上册寒假作业中国地图出版社集团有限公司
10综合创新成功学习 快乐寒假七年级上册寒假作业云南科技出版社有限责任公司
11综合寒假作业七年级上册寒假作业知识出版社
12综合寒假生活指导七年级上册寒假作业青岛出版社有限公司
13综合新优化设计寒假作业七年级上册寒假作业湖南师范大学出版社有限公司
14综合假期有约・寒假作业七年级上册寒假作业长江出版社(武汉)有限公司
15综合云南省标准教辅 初中寒假快乐提升七年级上册寒假作业云南晨光出版社有限责任公司
16综合寒假作业(综合)七年级上册寒假作业延边教育出版社
17综合寒假能力培养综合作业七年级上册寒假作业人民东方出版传媒有限公司(东方出版社)
18综合青于蓝启典・寒假作业七年级上册寒假作业广东经济出版社有限公司
19综合寒假天地七年级上册寒假作业河北少年儿童出版社
20综合阳光假期七年级上册寒假作业湖南少年儿童出版社有限责任公司
"} {"image_path": "images/0f01c1a08a392a2de9577af802d88f4f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model featuresSpecificity (%)Sensitivity (%)Accuracy (%)AUCF
EEG
EEG male68.472.6670.530.840.71
EEG female73.577.8675.680.860.76
EEG (12-15)73.9972.6873.350.870.72
EA
EEG + SNP69.0375.0472.040.840.73
EEG + SNP female76.828178.910.90.79
EEG + SNP male mother AUD70.9468.0869.540.780.69
EEG + SNP female father AUD70.1578.2274.180.920.76
EEG + SNP female mother AUD75.1679.4877.320.890.78
EEG + SNP (12-15)68.4379.2374.20.890.76
AA
EEG + SNP74.1478.4376.290.90.77
EEG + SNP female71.0287.6779.330.990.81
EEG + SNP male mother AUD74.6967.7871.230.830.71
EEG + SNP female father AUD85.7189.3887.550.990.89
EEG + SNP female mother AUD81.392.9287.110.990.88
EEG + SNP (12-15)79.5579.5279.540.930.79
EEG + SNP (16-19)65.4685.5676.530.920.80
EEG + SNP (20-30)73.273.1873.190.970.71
"} {"image_path": "images/f7ae9ca32a7d2327a27babb5b0041603.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Wave and PhaseOverallUnvaccinateAdults ≥65 years
AllVaccinatedUnvaccinated
Wave 1&2
Pre-peak2.5 (0.1,13.2)--11.1 (0.3,30.0)----
Peak0.3 (0.1,0.9)--3.1 (0.4,10.7)----
Post-peak2.0 (0.0,10.4)--14.3 (0.4,30.0)----
Wave 3
Pre-peak3.4 (2.0,5.3)--17.9 (10.8,27.1)----
Peak2.7 (2.1,3.3)--12.8 (10.1,15.8)----
Post-peak1.8 (1.0,3.0)--10.2 (5.2,17.5)----
Wave 4
Pre-peak0.6 (0.1,2.1)--6.7 (0.8,22.1)----
Peak2.1 (1.5,2.7)--7.8 (5.6,10.6)----
Post-peak1.3 (1.0,1.7)--7.7 (5.7,10.1)----
Wave 5
Pre-peak0.7 (0.5,0.8)1.8 (1.5,2.3)4.7 (3.8,5.8)1.0 (0.4,1.9)9.4 (7.5,11.6)
Peak0.8 (0.8,0.8)2.9 (2.8,2.9)4.1 (4.0,4.2)0.8 (0.8,0.9)10.8 (10.5,11.1)
Post-peak1.0 (0.9,1.0)3.0 (2.8,3.2)3.1 (3.0,3.3)0.9 (0.8,1.0)6.8 (6.4,7.2)
Wave 6
Pre-peak0.2 (0.2,0.2)0.6 (0.5,0.7)0.9 (0.8,1.0)0.7 (0.6,0.7)4.0 (3.3,4.8)
Peak0.1 (0.1,0.2)0.3 (0.3,0.4)0.8 (0.7,0.9)0.6 (0.6,0.7)3.1 (2.5,3.8)
Post-peak0.1 (0.1,0.2)0.4 (0.2,0.7)0.8 (0.6,1.1)0.6 (0.4,0.9)3.9 (2.0,6.9)
Wave 6b
Pre-peak0.2 (0.2,0.2)0.6 (0.5,0.7)1.3 (1.3,1.4)1.0 (1.0,1.1)4.6 (4.1,5.2)
Peak0.4 (0.3,0.4)0.8 (0.7,0.9)2.0 (1.9,2.1)1.7 (1.6,1.8)5.5 (4.8,6.3)
"} {"image_path": "images/f21c6c7e2124541b8a52506c16fdf7e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
471
4159
51 2 3
4 5 6
7 8 9
842
362458
239846
8652
4263
734
"} {"image_path": "images/2cf9e0c4d0fae64d929c9879f0d61218.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
管道和设备与燃气管道的净距(cm)
平行敷设交叉敷设
电气设备明装的绝缘电线或电缆2510(注)
暗装或管内绝缘电线5(从所做的槽或管子的边缘算起)1
电压小于1000V的裸露电线100100
配电盘或配电箱、电表30不允许
电插座、电源开关15不允许
相邻管道保证燃气管道、相邻管道的安装和维修2
"} {"image_path": "images/3489aef4c60a065e111b1876572c1b1d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
52
863
9637
3576
43
8513
3586
513
26
"} {"image_path": "images/817a666ffda4fe7826107fe8a51c6432.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电缆种类支架上敷设梯架、托盘内敷设
控制电缆明敷120200
电力电缆明敷10kV及以下电力电缆(除6kV~10kV交联聚乙烯绝缘电力电缆)150250
6kV~10kV交联聚乙烯绝缘电力电缆200300
35kV单芯电力电缆250300
35kV三芯电力电缆300350
电缆敷设在槽盒内h+100
"} {"image_path": "images/6318c0bcc9adabf824485e1cb18053c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称作用
公共信息类(PUBLIC)
逻辑节点零LLNO描述线路等级、容量等参数
线路属性LATT指出是被测量线路性质
定值类
电压限值MULV根据国标,给出不同电压等级的指标限值
其他电压指标限值
功能类
存档IARC作长期历史数据存档和查阅,为系统全局服务
人机接口IHMI设置电压电流等的限值信息
报警处理CALH产生成组报警和成组事件
"} {"image_path": "images/1f4f85e6ce9e457f988bdd26516d3f43.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标绝对量同比增长(%)
房地产开发投资(亿元)123863-9.8
其中:住宅94016-9.2
办公楼4826-11.3
商业营业用房9845-14.5
房屋施工面积(万平方米)896857-6.5
其中:住宅633916-6.7
办公楼34638-6.7
商业营业用房79571-11.2
房屋新开工面积(万平方米)111632-38.9
其中:住宅81734-39.5
办公楼2870-39.1
商业营业用房7608-41.2
房屋竣工面积(万平方米)55709-19.0
其中:住宅40442-18.4
办公楼1711-22.8
商业营业用房4544-24.9
土地购置面积(万平方米)8455-53.8
土地成交价款(亿元)7591-47.7
商品房销售面积(万平方米)121250-23.3
其中:住宅102727-26.2
办公楼2820-0.3
商业营业用房7234-3.9
商品房销售额(亿元)118648-26.6
其中:住宅104188-28.4
办公楼3843-2.7
商业营业用房7257-10.1
商品房待售面积(万平方米)5520310.0
其中:住宅2629418.0
办公楼40349.0
商业营业用房12344-3.0
房地产开发企业到位资金(亿元)136313-25.7
其中:国内贷款15823-26.9
利用外资66-26.6
自筹资金48994-17.5
定金及预收款44601-33.6
个人按揭贷款21870-26.2
"} {"image_path": "images/49ade2b73f8080adb714e64a7941d48c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型号额定容量额定电压额定频率额定功率
MK-SH17X304-PRO1.7L220V~50Hz1500W
"} {"image_path": "images/e9420bf2cae5fa6abb044b3a4fc1ec50.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Control (n = 87)Treatment (n = 94)tP
Age25.76 ± 2.6125.7 ± 2.54-0.1460.884
Height159.09 ± 4.28159.06 ± 4.17-0.0390.969
Weight50.14 ± 6.2351 ± 7.940.8080.420
BMI19.79 ± 2.1320.17 ± 3.230.9440.347
TG0.97 ± 0.331.3 ± 0.654.305<0.001
HDL1.32 ± 0.311.32 ± 0.24-0.0410.968
LDL2.13 ± 0.592.49 ± 0.723.647<0.001
"} {"image_path": "images/db3a2a7523c23e5216eb13e206d622e1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2845
61
6731
7
4
142
38
791
523
"} {"image_path": "images/c9a0d09752b5076010ea4b82eaa72157.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
摘要总账名称
(总账科目)
明细账本
(明细科目)
左方金额
(借方)
右方金额
(贷方)
已售电缆进价主营业务成本(转入)300 000
存货(转出)300 000
合计300 000300 000
"} {"image_path": "images/feb7774703924ae6540187746def620f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
67251
648
932
9243
75
6512
249
978
76283
"} {"image_path": "images/a6a5c80c91f305ac4404e0df086b5eeb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Patient NameVisit DateItem NoDescriptionFeesGSTAmount Paid Incl.GST
Tu Wei11/06/201923Level B Surgery\\$65.00\\$0.00\\$65.00
Total Excluding GST\\$65.00\\$65.00
Total Including GST\\$65.00\\$65.00
Previous Amount Owing\\$0.00
"} {"image_path": "images/acb83fe99b3eadbfd7c181e826e47dab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电缆直埋敷设时的配置情况平行交叉
施工现场电缆与外电线路电缆0.50.5
电缆与地下管沟热力管沟2.00.5
油管或易(可)燃气管道1.00.5
其他管道0.50.5
电缆与建筑物基础躲开散水宽度-
电缆与道路边、树木主干、1kV以下架空线电杆1.0-
电缆与1kV以上架空线杆塔基础4.0-
"} {"image_path": "images/6c6608072cafbaf331f3d39a26bfcefc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称作用
公共信息类(PUBLIC)
逻辑节点零LLN0描述线路等级、容量等参数
线路属性LATT指出是被测量线路性质
定值类
电压限值MULV根据国标,给出不同电压等级的指标限值
其他电压指标限值
功能类
存档IARC作长期历史数据存档和查阅,为系统全局服务
人机接口IdMI设置电压电流等的限值信息
报警处理CALd产生成组报警和成组事件
"} {"image_path": "images/87165e38cca7b4704b820a2a6fc14f86.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
奖项项目作品名称作者指导教师所在学校
二等奖
(2件)
电脑艺术设计班级宣传牌纪孟宝李传光福鼎九中
电脑制作大赛开幕王洛凝朱金华福鼎五中
"} {"image_path": "images/f762e6f1b7130edd9d72bdeadaa50f93.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
7268345
69521
849137
461753
2743689
19247
547683
13892
281596
"} {"image_path": "images/4ce16529c535d15c7f4672f9be8deada.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
4253
184
5712
9168
2734
6423
952
6875
4913
"} {"image_path": "images/8ac3d9263c737b24d21cb59b7319b50b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间10.12学生姓名培辅类别培优辅差辅导地点教室
辅导内容写话——我最喜欢的动物
效果及存在问题效果:一般。
存在问题:1、错别字较多,拼音也拼错,书写正确率有待提高
2、部分学生对标点断句仍未理解到位
3、一篇写话对先写什么后写什么,没有自己的逻辑
"} {"image_path": "images/15982f4ff139e35e7a98de8c04b47d31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
148793526
376524981
925618473
417382659
632459718
589167342
761835294
253941867
894276135
"} {"image_path": "images/d014c558b0d236a1609405a1bcb55a0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DescriptionQtyUnitUnit PriceTotal exc GSTGSTTotal inc GST
294.2 - EMERGENCY AMBULANCE TREATMENT AND NO TRANSPORT ON 12/02/20171EACH\\$637.00\\$637.00\\$0.00\\$637.00
"} {"image_path": "images/d6587d6298f9533a4bdb1f1e7e414aed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电缆种类支架上敷设梯架、托盘内敷设
控制电缆明敷120200
电力电缆明敷10kV 及以下电力电缆(除6kV~10kV 交联聚乙烯绝缘电力电缆)150250
6kV~10kV 交联聚乙烯绝缘电力电缆200300
35kV 单芯电力电缆250300
35kV 三芯电力电缆300350
"} {"image_path": "images/beff70173aecd37301457f74c8a654bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SourceDo not believeUnsureBelieve$ \\chi^{2}(2) $
n%n%n%
Media reports178.4614069.654421.89124.75$ ^{\\ast} $
Family reports4723.3810652.744823.8834.06$ ^{\\ast} $
Friends' reports4220.9011255.724723.3845.52$ ^{\\ast} $
Caught by media199.458240.8010049.7554.00$ ^{\\ast} $
Celebrity display of behavior125.976130.3512863.68101.22$ ^{\\ast} $
"} {"image_path": "images/2c02ed8f69ae33d4efcf29a3f920cdcd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ItemControlCometaAstartisAlamoSEM$ P $-value
Carcass weight,$ {}^{2} $ kg14314814614850.361
Dressing percentage84.584.384.684.20.60.757
Longissimus dorsi thickness, mm6360686550.269
Back fat thickness, mm2730282920.217
Lean meat, %49.247.649.548.71.50.344
Thigh weight,$ {}^{3} $ kg36.036.936.736.81.20.648
Left loin weight, kg7.77.87.77.80.30.876
Thigh yield, %25.2325.0025.1724.940.30.528
Thigh cooling losses, %0.931.081.020.900.10.110
Trimmed thigh weight, kg14.5214.8114.8614.730.50.669
Thigh trimming losses, %18.8219.0818.5219.400.80.321
Neck weight, kg5.45.35.75.50.30.207
Neck yield, %7.517.227.777.470.30.123
Neck cooling losses, %2.192.232.342.230.10.444
Trimmed neck weight, kg2.742.722.842.780.20.697
Neck trimming losses, %47.6847.9849.1348.581.50.519
"} {"image_path": "images/b19cb260155f56092c87a6cb9a85113b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电缆直埋敷设时的配置情况平行交叉
施工现场电缆与外电线路电缆0.50.5
电缆与地下管沟热力管沟2.00.5
油管或易(可)燃气管道1.00.5
其他管道0.50.5
电缆与建筑物基础躲开散水宽度-
电缆与道路边、树木主干、1kV以下架空线电杆1.0-
电缆与1kV以上架空线杆塔基础4.0-
"} {"image_path": "images/f7f0caed3062471a7062d5985be0d470.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号编号项目名称主要完成人员类型学科完成单位拟奖等级
105A03金属薄膜的屈服强度和微结构研究张建民 徐可为 张美荣 马飞 辛晓天理论数理力学陕西师范大学
西安交通大学
一等
205A12非自伴算子代数及其相关问题研究吉国兴 张建华 杜鸿科 曹怀信理论数理力学陕西师范大学一等
305A17非线性偏微分方程的对称和曲线曲面运动屈长征 张顺利 姚若侠理论数理力学西北大学
渭南师范学院
一等
405A16球形和非球形粒子对任意波束和脉冲激光的电磁散射韩一平 吴振森 郭立新 韩香娥理论数理力学西安电子科技大学一等
505A15拟齐次偏微分算子的一般理论钮鹏程 罗学波 张慧清 韩亚洲 韩军强理论数理力学西北工业大学一等
605B03缸内直喷天然气燃烧规律及相关基础理论研究黄佐华 曾科 刘兵 蒋德明 刘亮欣 任毅 王倩 杨中乐理论机械西安交通大学一等
705B07液固高压成形理论与应用基础研究齐乐华 李贺军 罗守靖 杨方 史忠科 胡连喜 霍文灿理论机械西北工业大学
哈尔滨工业大学
一等
805B15精密晶体振荡器周渭 郑兴世 宣宗强 樊剑辛 王克 赵盛民 宋斌 白丽娜 刘畅生 于建国 沈苏阳技术机械西安电子科技大学一等
905C19微波ECRCVD设备杨银堂 汪家友 付俊兴 刘毅 周端 顾新 柴常春 李跃进 贾护军 俞书乐 陈光族技术电子信息西安电子科技大学一等
1005C11高速信息网络的高速无线接入技术研究李建东 盛敏 陈彦辉 张文柱 李波 栾英姿 赵林靖 杨家玮 冯军 李维英 李常乐理论电子信息西安电子科技大学一等
"} {"image_path": "images/19d2d91d87914d41a82f1beaaa1e67fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目检验要求检验方法
1电器、连接电缆和二次回路绝缘电阻不应小于1MΩ;潮湿场所不宜小于 0.5MΩ用兆欧表测量
2脱扣器整定值应按使用要求进行整定,整定值误差不得超过产品技术文件的规定用仪表测 量
3检查低压电器的动作情况采用电动机操作的电器,电压在额定值85%~110%范围内应可靠工作
4运行电压下的电导电流应符合产品技术文件的规定
5电阻器和变阻器的直流电阻值应符合产品技术文件的规定
"} {"image_path": "images/06ff38592675e8dbd6b8d684ee928818.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电缆种类支架上敷设梯架、托盘内敷设
控制电缆明敷120200
电力电缆明敷10kV及以下电力电缆(除6kV~10kV交联聚乙烯绝缘电力电缆)150250
6kV~10kV交联聚乙烯绝缘电力电缆200300
35kV单芯电力电缆250300
35kV三芯电力电缆300350
电缆敷设在槽盒内h+100
"} {"image_path": "images/4ca0d3a456ae1363d17f726249beb41a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CategoryCutPasteDRAEMGLASSDFMGANRealNetAnomalyDiffusionFAST
mIoU↑Acc↑mIoU↑Acc↑mIoU↑Acc↑mIoU↑Acc↑mIoU↑Acc↑mIoU↑Acc↑mIoU↑Acc↑
bottle75.1179.4979.5184.9970.2676.3075.4580.3977.9683.9076.3983.5486.8690.90
cable55.4060.4964.5270.7758.8162.3262.1064.8762.5169.2762.4974.4873.7177.94
capsule35.1540.2951.3962.3234.1238.0441.2915.8346.7651.9137.7344.7263.2271.12
carpet66.3477.5972.5781.2870.1177.5671.3383.6968.8479.1564.6773.5973.8483.53
grid29.9046.7247.7567.8537.4346.3037.7354.1337.5548.8638.7051.8252.4570.70
hazel_nut56.9560.7284.2289.7455.5157.4383.4386.0360.1863.4959.3367.4890.8194.79
leather57.2363.4964.1271.4962.0573.3860.9668.0268.2977.1656.4562.5166.6074.18
metal_nut88.7890.9493.5196.1088.1590.5292.7794.9391.2894.0988.0091.1094.6596.88
pill43.2847.1146.9949.7641.5243.5487.1990.0547.3258.3183.2189.0090.1794.07
screw25.1031.3546.9659.0335.9442.3746.6550.7947.1255.1738.4749.4949.9457.48
tile85.3391.6089.2193.7485.6790.2888.8791.9683.5387.3084.2989.7290.1393.77
toothbrush39.4063.9365.3579.4353.7560.4661.0070.5057.6872.0348.6864.4174.9888.63
transistor65.0371.0559.9662.1829.2830.6773.5678.4863.7166.7979.2791.7491.8094.50
wood49.6460.4767.5273.2850.9153.1667.0080.8461.8489.5460.1674.6278.7786.31
zipper65.3971.8969.2979.3669.9879.3166.3470.5068.7878.5065.3672.6672.8084.73
Average55.8763.8166.8674.7556.2361.4467.7172.0762.8971.7062.8872.0676.7283.97
"} {"image_path": "images/26889e9e8044c675b81515e9306034e4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号试验项目试验方法标准试验严酷等级使用环境检验内容说明
高原干热沙漠
10抗静电试验GB/T 17626.2接触放电:2 kV、4 kV、6 kV、8 kV
空气放电:2 kV、4 kV、8 kV、15 kV
试验次数:正负各10次
检验产品是否能正常工作或能及时恢复正常工作适用于考核产品因气候干燥遭受静电干扰时的抵抗能力
11盐雾试验GB/T 2423.17氯化钠浓度:5%±0.1%
pH值:6.5~7.2
温度:35℃±2℃
试验周期:24 h、48 h、96 h
外观、绝缘、腐蚀适用于考核产品抗盐雾腐蚀的能力
"} {"image_path": "images/34c2531efbc75e5a06bd98915c3968c0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日期校领导部门及学院校区签到员
1月6日(星期一)凌靖波向凯、郭磊、徐玲、余翔、李尚旗东校区喻太红
骆少明吴秀兰、杨延军、陈婕、刘光磊、肖政宏
史敏、谢德新、岑健、李雪斌、赵珲
林幸福、吴水爱、汪永智、朱苏权
白云校区凌子昆
许玲杨永、全翠珍、周莉、向丹西校区龚智敏
黄秋文杨永、钟建雄、吴松、谢林林北校区李冲
1月7日(星期二)贺勇杨永、钟建雄、罗旭辉、冯明库、肖政宏
柳秀山、陈菊芬
东校区赵建云
许玲吴秀兰、全翠珍、徐玲、吴水爱、向丹
郭洪波、肖蕾、游志福、易建华、周卫忠
陶红、刘国庆、林启词、谢林林
白云校区凌子昆
戴青云向凯、郭磊、方少武、陈郁芬、谢德新西校区龚智敏
苏晖向凯、杨延军、吴松、林幸福北校区李冲
"} {"image_path": "images/2b4eae2db647263c811d2c89a59fcedb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电缆种类支架上敷设梯架、托盘内敷设
控制电缆明敷120200





10kV 及以下电力电缆
(除 6kV~10kV 交联聚乙烯绝缘电力电缆)
150250
6kV~10kV 交联聚乙烯绝缘电力电缆200300
35kV 单芯电力电缆250300
35kV 三芯电力电缆300350
电缆敷设在槽盒内$h+100$
"} {"image_path": "images/553dcd14df164add80decc129024844e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
馆区库室名称馆藏
本部图书馆北区103 视听室电子图书、影视光盘等
105 社科类书库社科、艺术图书(A、B、C、D、E、G、J大类)
201 理工类书库(一)理工一(N、O、P、Q、R、S、T、U、V、X,Z大类)
205 文史类书库文学、历史、地理类图书(I、K大类)
301 理工类书库(二)理工二(T大类除TP、TS、TU)
305 现刊阅览室各类期刊、报纸
401 经济类书库经济类图书(F大类)
405 语言类书库语言类图书(H大类)
501 工具书阅览室参考工具书
505 外文资料阅览室外文原文图书
杭州湾校区图书馆一楼社科类书库社科、经济类图书(C、D、E、F、G大类)
二楼文史哲书库文史哲、艺术类图书(A、B、I、J、K大类)
三楼理工科书库理工类图书(N、O、P、Q、R、S、T、U、V、X、Z大类)
报刊阅览室各类期刊、报纸
"} {"image_path": "images/a8f79874881482985e0d64b88d6f60fc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
主要工业行业增加值10月增长(%)1-10月增长(%)
工业增加值(亿元)296.679.52918.389.9
#煤炭开采和洗选业58.773.8563.625.7
酒、饮料和精制茶制造业59.496.7598.7211.1
#酒的制造55.826.7551.4310.7
烟草制品业22.7523.2251.12-0.6
#卷烟制造21.7323.2246.68-0.6
化学原料和化学制品制造业13.637.9130.459.4
医药制造业8.4511.984.508.2
非金属矿物制品业21.268.1203.3912.1
黑色金属冶炼和压延加工业6.544.467.296.2
有色金属冶炼和压延加工业13.1418.0125.0618.0
计算机、通信和其他电子设备制造业5.00175.135.7377.6
电力、热力生产和供应业28.90-3.6301.374.9
#电力生产17.49-3.4179.407.2
电力供应11.36-4.0121.382.0
"} {"image_path": "images/e00a3a49c1119428683083dec939139f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
8153
4715
15486
39
4382
2458
894716
98543
74361
"} {"image_path": "images/5cddd034bbb5f648e117f787f9a54457.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分类名称增加值
(亿元)
构成
(%)
文化及相关产业52385100.0
分行业大类
文化制造业1368726.1
文化批发和零售业51909.9
文化服务业3350864.0
分活动性质
文化核心领域3671770.1
新闻信息服务730013.9
内容创作生产1250423.9
创意设计服务897817.1
文化传播渠道521710.0
文化投资运营4520.9
文化娱乐休闲服务22664.3
文化相关领域1566829.9
文化辅助生产和中介服务792015.1
文化装备生产21344.1
文化消费终端生产561410.7
"} {"image_path": "images/7ad92888f88b8ab0faadbf7706e42b6a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
城市环比同比1-9月平均城市环比同比1-9月平均
上月=100上年同月 =100上年同期 =100上月=100上年同月 =100上年同期 =100
北 京100.297.495.5唐 山99.594.293.0
天 津99.498.898.0秦 皇 岛99.795.193.8
石 家 庄99.496.496.5包 头99.094.193.8
太 原99.9100.6101.0丹 东99.796.194.8
呼和浩特99.794.794.2锦 州99.997.095.8
沈 阳99.7100.098.2吉 林99.596.195.0
大 连99.697.696.1牡 丹 江99.796.894.5
长 春100.197.296.1无 锡99.796.496.0
哈 尔 滨99.997.295.4徐 州99.495.294.8
上 海100.3105.6105.8扬 州99.393.894.0
南 京99.498.198.1温 州99.296.392.6
杭 州100.3103.6100.9金 华99.797.493.1
宁 波99.399.296.7蚌 埠99.996.294.6
合 肥100.099.996.8安 庆99.596.495.0
福 州99.698.094.6泉 州99.897.694.3
厦 门99.399.195.8九 江99.196.595.0
南 昌99.395.895.2赣 州99.098.296.3
济 南99.697.695.4烟 台99.896.195.0
青 岛99.598.797.0济 宁99.796.595.7
郑 州99.496.795.9洛 阳99.797.195.0
武 汉99.697.595.4平 顶 山99.899.999.0
长 沙99.698.495.9宜 昌99.9100.297.5
广 州99.495.994.0襄 阳99.395.795.0
深 圳99.098.297.0岳 阳99.595.794.3
南 宁99.5100.296.6常 德99.496.494.3
海 口99.095.195.7韶 关99.996.895.2
重 庆99.697.896.3湛 江99.898.396.0
成 都99.4101.398.9惠 州100.197.395.4
贵 阳99.696.795.8桂 林99.697.396.8
昆 明99.595.193.0北 海99.394.393.8
西 安99.195.096.8三 亚100.0100.198.0
兰 州99.796.093.7泸 州99.495.093.6
西 宁99.796.395.2南 充99.897.897.3
银 川99.496.896.3遵 义99.697.296.7
乌鲁木齐99.8100.698.7大 理99.595.794.2
"} {"image_path": "images/abca94c50a9b8a78c8bdb23bdcff8877.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目PSM前PSM后
脓毒症组(n=147)非脓毒症组(n=158)$ t/Z/\\chi^{2} $值P值脓毒症组(n=93)非脓毒症组(n=93)$ t/Z/\\chi^{2} $值P值
年龄[$ M(P_{25},P_{75}) $,岁]60(48,68)44(30,58)-5.967<0.00154(41,65)54(38,65)0.0440.965
性别(男/女)105/42108/500.3420.55973/2373/2301
感染部位[n(%) ]21.722<0.0010.2960.998
肺部40(27.2)31(19.6)--28(30.1)26(28.0)--
腹腔69(46.9)71(44.9)--46(49.5)46(49.5)--
泌尿系11(7.5)5(3.2)--4(4.3)4(4.3)--
皮肤骨关节11(7.5)4(2.5)--4(4.3)4(4.3)--
中枢系统5(3.4)12(7.6)--3(3.2)3(3.2)--
其他部位11(7.5)35(22.2)--8(8.6)10(10.8)--
APACHE Ⅱ评分[$ M(P_{25},P_{75}) $,分]11(8,14)4(2,6)-10.955<0.00110(8,13)5(3,8)-6.704<0.001
SOFA评分[$ M(P_{25},P_{75}) $,分]5(4,9)1(0,2)-14.112<0.0015(4,8)1(1,2)-10.873<0.001
qSOFA评分[$ M(P_{25},P_{75}) $,分]1(0,1)0(0,0)-7.089<0.0011(0,1)0(0,1)-4.149<0.001
$ PaO_{2}/FiO_{2}[M(P_{25},P_{75}) $,mm Hg]271.4(194.0,379.3)401.7(324.1,493.1)-7.743<0.001273.0(213.0,381.0)359.0(300.5,439.0)-4.817<0.001
$ iCa[M(P_{25},P_{75}) $,mmol/L]1.10(1.06,1.15)1.15(1.10,1.18)-5.138<0.0011.10(1.06,1.15)1.15(1.10,1.70)-3.505<0.001
$ iCa<1.15mmol/L[n(\\%)] $109(74.1)71(44.9)26.868<0.00168(73.1)42(45.2)15.04<0.001
$ tCa[M(P_{25},P_{75}) $,mmol/L]2.15(2.03,2.31)2.33(2.25,2.43)-6.976<0.0012.16(2.04,2.30)2.30(2.20,2.40)-4.914<0.001
血Lac[$ M(P_{25},P_{75}) $,mmol/L]1.5(1.0,2.5)1.0(0.7,1.4)-6.029<0.0011.5(1.0,2.6)1.1(0.7,1.5)-3.965<0.001
PCT[$ M(P_{25},P_{75}) $,μg/L]3.68(1.10,19.60)0.12(0.06,0.56)-11.292<0.0013.53(0.77,18.27)0.22(0.10,0.96)-7.368<0.001
Ⅱ.$ -6[M(P_{25},P_{75}) $,ng/L]155.5(52.8,634.2)30.8(9.5,90.3)-7.752<0.001140.3(51.3,493.7)56.1(16.8,175.5)-4.148<0.001
白蛋白($ \\bar{x}\\pm s $,g/L)30.3±6.437.8±6.2-9.764<0.00131.0±6.236.0±5.7-5.763<0.001
CRP[$ M(P_{25},P_{75}) $,mg/L]137.5(68.7,211.5)36.8(6.9,106.0)-7.884<0.001126.3(66.5,213.7)63.5(14.6,143.6)-4.388<0.001
"} {"image_path": "images/ba592d4868297683901e27fba259eaa5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
城市$ 90 m^{2} $及以下$ 90-144 m^{2} $$ 144 m^{2} $以上
环比同比定基环比同比定基环比同比定基
上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100
唐山99.198.299.499.398.8101.399.498.699.4
秦皇岛99.794.392.399.793.392.199.694.293.4
包头99.293.997.399.895.396.999.595.698.2
丹东99.994.699.999.894.899.8100.096.4101.6
锦州99.996.5101.699.896.6103.099.997.5103.1
吉林99.497.599.399.696.499.999.697.099.9
牡丹江99.696.895.098.896.594.399.097.596.7
无锡99.998.1103.999.698.7105.699.699.3106.7
徐州99.998.8105.599.699.0107.499.398.7106.2
扬州99.295.7103.099.996.3103.899.695.4102.4
温州99.094.699.799.294.299.699.294.099.0
金华99.498.3104.699.598.1104.799.897.7104.1
蚌埠99.096.398.099.497.4101.699.697.2100.1
安庆100.097.095.899.995.094.0100.095.994.1
泉州100.196.2103.3100.795.4102.5100.095.2101.7
九江99.796.199.799.797.2100.399.596.3100.2
赣州99.9101.0107.699.6100.7104.699.4100.2103.6
烟台100.096.7100.4100.298.2101.9100.597.6100.8
济宁98.695.4105.199.094.9104.798.895.6104.8
99.895.998.099.694.699.599.796.399.7
平顶山100.096.6100.999.797.3100.899.996.799.8
宜昌99.494.398.899.894.799.099.996.099.1
襄阳99.994.198.699.395.098.899.893.898.7
岳阳99.491.389.599.592.490.8100.091.790.7
常德100.092.590.699.694.891.2100.192.390.9
韶关98.797.399.899.496.397.499.497.198.5
江州99.791.793.299.591.192.699.391.494.1
惠州99.896.7101.599.897.9102.199.698.0102.2
桂林99.195.395.599.296.796.4100.094.895.5
北海99.989.887.199.289.085.7100.088.386.7
三亚100.399.6108.6100.099.5107.3100.799.9106.5
泸州100.296.591.4100.496.293.7100.894.592.3
南充100.997.192.8100.296.094.7100.996.795.6
遵义100.597.899.2100.299.599.6100.399.5100.9
大理100.094.492.7100.195.792.2100.195.090.8
"} {"image_path": "images/6e15c2b81fa5982e33e019022f52a5bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
值周领导梁建民值周班级高二6、14
值周干事孙芳云 景娜 韩斌 谭晶晶
值周教师贾丰盈 张尕丽 李光蓉 刘文杰 刘雪红
时间内容责任处室责任人
周一(3.10)升旗
职业道德纪律作风教育
整顿活动
县对抗赛阅卷
团委
办公室
课程处
蒋宏杰
蒋宏杰
梁双纪
周二(3.11)组内听评课学部陈、董
周三(3.12)组内听评课
高二理化生实验考试
学部
课程处
陈、董
梁双纪
周四(3.13)行政会
组内听评课
办公室
学部
蒋宏杰
陈、董
周五(3.14)全干会办公室蒋宏杰
周六(3.15)
"} {"image_path": "images/960828ffe9c3289495d9b17c712c7e9b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
632984517
198756423
475213986
269348175
713592864
584671239
346825791
921437658
857169342
"} {"image_path": "images/827075d17862919e2a013257b5ae0507.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
123456798
456789132
789123456
567891243
234567819
891234576
912345687
678912354
345678921
"} {"image_path": "images/a037527ade4b3629b19629ee1a881520.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
89
728
64139
859
51
934
82756
971
67
"} {"image_path": "images/9d1795fc0fe7222d1c473ef09dc7a9b5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
5431
2594
3286
987
671
974
169
192
"} {"image_path": "images/cd62f4a710b0b5de64f1dc9df536f6d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
423
124
143
31
"} {"image_path": "images/337843bb4a23121732dc372b16f63fd5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目检验要求检验方法
允许值(mm)检验单元和数量单元测点
1最小电气间隙$ U\\leqslant 500 $12每相邻母线1用钢直尺测量
$ 500<U\\leqslant 1200 $14
"} {"image_path": "images/d869ed1eed5b51d7f065a50191575273.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
语文1、八上下文言文,古诗词会背、会默、会译过关(错别字)
2、阅读理解每周3篇(学有余力做5篇)答题方法100问
3、作文看满分作文,晚上九点后看,积累素材(每周仿写一篇)
4、名著阅读细读(无删减版)$ ^{\\ast} $+看名著导读练习+视频课程
数学1、预习八上(同步课)+五年中考三年模拟
2、整理错题,用三刷错题法订正(方法直播间分享)$ ^{\\ast\\ast\\ast} $
3、基础练习册+单元卷+(几何模型+计算题)正确率80%
英语1、中考必背单词2100 第二轮(英语稳江山,超前学,奔着满分学)
2、预习八上背默单词+背前四课课文
3、(暑假专项练 听力+阅读理解每天必做)
4、语法专项训练
物理1、预习八上+物理实验视频书+理解知识点(默写)
2、基础训练册+单元自测卷 正确率80%
生物 地理1、背7上下(进行第一轮复习)预习8上下知识点(知识大盘点)
2、预习8上下知识点(内容多提前背、重复多遍记忆)
3、做单元卷 正确率80%+真题分类试卷(自主总复习靠它)
道法 历史1、巩固7上下知识点,预习8上下知识点
2、做单元卷(以题代背)$ ^{\\ast\\ast} $
"} {"image_path": "images/f0b836ec171f3f586809cdc6bdc3cc07.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
耐火等级B级A级
电缆种类耐火聚氯乙烯电缆/耐火温水交联电缆
绝缘层B级单层,A级双层云母带半叠绕包
PVC绝缘料/XLPE料
内衬层无铠B级一层,A级双层阻燃带重叠绕包
有铠四层阻燃带重叠绕包
填充阻燃PP绳
铠装层单芯:铝带/不锈钢带。多芯:涂漆或镀锌钢带。双层间隙绕包
外护套阻燃PVC护套料
B级:$ OI\\geq30% $;A级:$ OI\\geq35% $
"} {"image_path": "images/807d8cebdccc63ab981abec8f2885ff6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
12345678910
11121314151617181920
21222324252627282930
31323334353637383940
41424344454647484950
51525354555657585960
61626364656667686970
71727374757677787980
81828384858687888990
919293949596979899100
"} {"image_path": "images/a694c7fc6649131c7d519056c0979d91.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
防爆结构形式的选择现浇式钢筋混凝土框架结构用于抗爆能力要求高的防爆厂房
装配式钢筋混凝土框架结构抗爆能力不如现浇式框架结构
钢框架结构耐爆强度较高,耐火极限低,能承受的极限温度仅为400℃,超过该温度,便会在高温作用下变形倒塌
隔爆设施防爆墙1. 防爆砖墙。只用于爆炸物质较少的厂房和仓库。
2. 防爆钢筋混凝土墙。
3. 防爆钢板墙
防爆门防爆门的骨架一般采用角钢和槽钢拼装焊接,门板选用抗爆强度高的锅炉钢板或装甲钢板
防爆窗防爆窗的窗框应用角钢板制作,窗玻璃应选用抗爆强度高、爆炸时不易破碎的安全玻璃
"} {"image_path": "images/213b69ec507b8addfa4036467a0ec1ed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类型用电指标(kW/户)或负荷密度(W/$ m^{2} $)
康居住宅套型基本型4
提高型6
先进型8
商业$ 60W/m^{2}\\sim150W/m^{2} $
办公$ 50W/m^{2}\\sim120W/m^{2} $
"} {"image_path": "images/346219e6f8dc434b386e10d8b473abc4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
8723
4672
7658
81569
83
65983
6549
5248
4162
"} {"image_path": "images/030e93f94d75cea37f8c2ce456bb3cf5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号实验名称所需仪器材料备注
1水的沸腾酒精灯、试管、铁架台、玻璃片、水
2胆矾的研碎研钵、胆矾
3胆矾溶解于水并和氢氧化钠反应试管架、试管、胆矾、氢氧化钠溶液
4石灰石和盐酸反应把产生的气体通入氢氧化钙溶液铁架台、试管、单孔塞、乳胶管、玻璃弯管、烧杯、石灰石(或大理石)、稀盐酸、澄清石灰水
5二氧化碳与氧气的性质集气瓶、氧气、二氧化碳
6取固体药品锌粒、试管、镊子、试管架、碳酸钠、药匙
7量筒与滴管的使用量筒、试管、滴管
8澄清的石灰水中滴加酚酞溶液试管、滴管、澄清石灰水、酚酞溶液
9碳酸钠粉末与稀盐酸反应量筒、试管、滴管、碳酸钠粉末、稀盐酸
10酒精灯的使用酒精灯、火柴
11加热方法10 ml 量筒、CuSO4 溶液、NaOH 溶液、量筒、试管、滴管
12检查装置的气密性试管、胶皮管、橡胶塞、玻璃弯管、烧杯
13洗涤玻璃仪器试管架、试管、试管刷、水
14测定空气中氧气的含量集气瓶、酒精灯、弹簧夹、橡皮筋、双孔塞、燃烧匙、乳胶管、玻璃弯管、烧杯、红磷、水、火柴
15氧气的性质实验集气瓶、玻璃片、酒精灯、燃烧匙、已收集的氧气、火柴、小木条、硫、木炭、澄清石灰水、细铁丝、水
16实验室制取氧气酒精灯、铁架台、大试管、单孔塞、乳胶管、玻璃弯管、水槽、集气瓶、玻璃片、药匙、棉花、火柴、高锰酸钾
17品红在水中扩散烧杯、热水、品红
18用肥皂水区分软水和硬水烧杯、胶头滴管、玻璃棒、软水、硬水、肥皂水
19实验室制取蒸馏水铁架台、酒精灯、石棉网、蒸馏烧瓶、冷凝器、牛角管、锥形瓶、沸石、温度计、水、火柴、肥皂水
20氢气在空气中燃烧氢气、烧杯、带尖嘴的导管
21用盐酸和碳酸钠反应验证质量守恒定律小试管、烧杯、托盘天平、稀盐酸、碳酸钠粉末
"} {"image_path": "images/44c634dde806fdab8a331174c2abd0a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
314
12
234
123
"} {"image_path": "images/a33238da46179655462d6a4c9ff86560.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1285
24738
761
1846
6582
86
17
8495
65321
"} {"image_path": "images/663e829fd54f1528f8a48b3dd5846ccb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
314
23
142
243
"} {"image_path": "images/de58a08c8f1bad0da8f4b2cd23b4efea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
7658
432
3246
8
968
2
6891
745
2938
"} {"image_path": "images/0556564fb142a0c541f6966d286667b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电缆种类敷设方式
水平(mm)垂直(mm)
电力电缆全塑型4001000
除全塑型外的中低压电缆8001500
35kV及以上高压电缆15003000
控制电缆8001000
"} {"image_path": "images/96002f46713027b6acdb28564d53c0c9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
314
142
123
34
"} {"image_path": "images/00fc0713eedba9f8c4c45338197b8e45.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
85
81329
3175
2156
391452
8241
9642
45681
21
"} {"image_path": "images/7e66e17e4603dfd32f379017fdc7e5fb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
班级主持老师时间地点主题参加活动老师
五(1)李侠第4周星期五第6节多媒体教室相亲相爱——保护身体健康周会侠、佟家梅、高敏、任淑华、、李玲、李居平、刘胜元、陆新、朱梅、李侠、李娟
四(1)李娟第六周星期五第6节多媒体教室《我为祖国妈妈添新绿》主题中队会伏聪玲、郝彬彬、李晓梅、王平朱梅、李侠、李娟、梁端明、蒋泼
一(1)周会侠第12周星期五第6节多媒体教室我积极我自信佟家梅、高敏、任淑华、梁端明、蒋泼、李玲、李居平、刘胜元
二(2)高敏第13周星期五多媒体教室在家做个好孩子朱梅、李侠、佟家梅、高敏、任淑华、梁端明、蒋泼、李玲、李居平、刘胜元
六(1)陆新第14周星期五第6节多媒体教室远离网吧健康成长周会侠、佟家梅、高敏、任淑华、、李玲、李居平、刘胜元、陆新、朱梅、李侠、李娟
三(1)郝彬彬第15周星期五第6节多媒体教室《感恩父母的爱》朱梅、李侠、佟家梅、高敏、任淑华、梁端明、蒋泼、李玲、李居平、刘胜元
"} {"image_path": "images/165c80a820a48f0f571ae1bba13a4a58.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年级科目书名出版社估价
七年级语文《南方新课堂金牌学案》语文(上)广东教育出版社有限公司15.45
《同步解析与测评学考练》语文(上)人民教育出版社有限公司15.45
数学《南方新课堂金牌学案》上广东教育出版社有限公司15.45
《课堂精炼》上北京师范大学出版社15.45
英语《拔优同步训练》上商务印书馆有限公司15.45
《英语课程同步学教评同步学教评》上外语教学与研究出版社有限责任公司15.45
道德与法治《金版学案同步优学智慧作业》道德与法治(上)广东高等教育出版社有限公司15.45
《南方新课堂金牌学案》道德与法治(上)广东教育出版社有限公司15.45
历史《金版学案同步优学智慧作业》历史(上)广东高等教育出版社有限公司15.45
《培优同步练》中国历史(上)中国地图出版社集团有限公司15.45
地理《百年学典同步导学与优化训练》地理(上)广东新世纪出版社有限公司15.45
《南方新课堂金牌学案》地理(上)广东教育出版社有限公司15.45
生物《百年学典同步导学与优化训练》生物(上)广东新世纪出版社有限公司15.45
《名师课堂同步精炼》(上)广东经济出版社有限公司15.45
寒假作业寒假生活七年级合订本北京师范大学出版社(集团)有限公司12.59
快乐寒假七年级合订本广东经济出版社有限公司12.59
"} {"image_path": "images/96e16bbdb39defceee460d00b55ae2f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
行业营业收入营业成本利润总额
金额
(亿元)
同比增长
(%)
金额
(亿元)
同比增长
(%)
金额
(亿元)
同比增长
(%)
总计896231.92.3766960.82.546929.70.9
煤炭开采和洗选业16559.1-20.812079.2-13.41937.3-53.6
石油和天然气开采业7706.5-5.74236.61.82364.7-12.4
黑色金属矿采选业3056.4-12.62461.2-11.3295.0-30.3
有色金属矿采选业2664.113.21530.16.0809.333.9
非金属矿采选业2350.4-0.41688.6-1.0231.7-3.1
开采专业及辅助性活动1388.8-7.51283.7-8.122.92.2
其他采矿业2.5-56.92.1-58.80.2(注1)
农副食品加工业34097.92.631561.72.4802.611.8
食品制造业14270.51.311212.11.71125.51.8
酒、饮料和精制茶制造业10539.11.06875.92.62266.019.9
烟草制品业10580.43.22997.25.01435.10.9
纺织业15155.2-2.213524.2-2.2426.4-7.0
纺织服装、服饰业7620.5-3.66531.0-3.1280.3-17.9
皮革、毛皮、羽毛及其制品和制鞋业5341.9-2.34633.5-2.2264.0-9.2
木材加工和木、竹、藤、棕、草制品业5570.6-3.15069.6-3.0155.1-12.4
家具制造业4038.3-6.03348.8-6.2171.0-16.7
造纸和纸制品业9167.1-1.98108.1-1.8229.3-18.8
印刷和记录媒介复制业4215.7-1.03520.1-1.1207.2-5.2
文教、工美、体育和娱乐用品制造业9263.37.28138.58.7337.5-13.4
石油、煤炭及其他燃料加工业35457.6-11.330446.2-13.0-104.6(注2)
化学原料和化学制品制造业59475.90.951826.80.92460.8-5.5
医药制造业15833.1-2.09297.2-1.02129.5-3.9
化学纤维制造业7065.1-4.46537.5-4.6165.2-2.6
橡胶和塑料制品业20018.62.416989.32.6985.3-4.6
非金属矿物制品业30907.8-5.326473.4-5.9957.9-2.2
黑色金属冶炼和压延加工业50799.8-5.348046.9-7.5837.0(注3)
有色金属冶炼和压延加工业62102.014.058456.714.62198.812.7
金属制品业30479.21.026985.80.91024.80.5
通用设备制造业32742.65.026641.05.02211.45.8
专用设备制造业24247.62.518968.72.81701.46.9
汽车制造业68048.97.559888.88.23035.1-0.3
铁路、船舶、航空航天和其他运输设备制造业10913.416.39043.915.2895.637.3
电气机械和器材制造业73895.99.563714.710.43937.111.5
计算机、通信和其他电子设备制造业108098.88.894269.78.74149.67.2
仪器仪表制造业6817.05.65060.65.9648.74.6
其他制造业1457.24.91203.85.775.8-9.5
废弃资源综合利用业8169.45.07854.44.9104.534.8
金属制品、机械和设备修理业1685.015.91423.416.6119.44.6
电力、热力生产和供应业66821.70.259243.6-0.65181.113.0
燃气生产和供应业14505.01.913553.32.3548.9-8.7
水的生产和供应业3102.20.12232.7-1.5305.1-7.3
"} {"image_path": "images/82efb94c9d3576975708fcbffb5333b8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
6153
328
48379
3427
579
1768
48167
912
695
"} {"image_path": "images/1fe969a8e3aeecf687954ef1ff80d3d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
3917
1523
736
4296
2638
128
756
2941
918
"} {"image_path": "images/c560cf622772005f6783aea930c43bca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称化学式浓度配制方法
盐酸HCl12mol/L密度为1.19的浓HCl
8mol/L666.7mL12molL的浓HCl,加水稀释至1L
6mol/L12molL的浓HCl,加等体积水稀释
2mol/L167mL12molL的浓HCl,加水稀释至1L
1mol/L84mL12molL的浓HCl,加水稀释至1L
硝酸$ HNO_{3} $16mol/L密度为1.42的浓$ HNO_{3} $
6mol/L380mL16molL的浓$ HNO_{3} $,加水稀释至1L
3mol/L190mL16molL的浓$ HNO_{3} $,加水稀释至1L
2mol/L127mL16mol/L的浓$ HNO_{3} $,加水稀释至1L
硫酸$ H_{2}SO_{4} $18mol/L密度为1.84的浓$ H_{2}SO_{4} $
6mol/L332mL18mol/L的浓$ H_{2}SO_{4} $,加水稀释至1L
3mol/L166mL18molL的浓$ H_{2}SO_{4} $,加水稀释至1L
1mol/L56mL18molL的浓$ H_{2}SO_{4} $,加水稀释至1L
醋酸HAc17mol/L密度为1.05的HAc
6mol/L353mL17molL的HAc,加水稀释至1L
2mol/L118mL17molL的HAc,加水稀释至1L
1mol/L57mL17molL的HAc,加水稀释至1L
酒石酸$ H_{2}C_{4}H_{6}O_{6} $饱和将酒石酸溶于水中,使其饱和
"} {"image_path": "images/1d9b2e8c37431b9aaa814ec413f1128b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
癌 种男性女性
1990-2014年1990-1999年2000-2009年2010-2014年1990-2014年1990-1999年2000-2009年2010-2014年
所有恶性肿瘤266.04262.26269.15291.93187.22140.11184.82260.12
所有恶性肿瘤
(除男女性特有肿瘤)
259.68259.43262.74280.67172.28131.45170.18236.38
所有恶性肿瘤
(除男女性特有肿瘤及乳腺癌)
259.21259.16262.44279.45143.51117.10139.40194.65
口腔及咽部肿瘤9.117.968.0512.943.703.043.425.11
食管癌20.0028.2420.2813.745.447.865.043.77
胃癌39.6448.7938.8633.9516.2119.0015.9513.65
结直肠肛门癌30.8627.2629.6538.6226.4924.5825.2432.64
肝癌39.9449.5838.5232.4716.2518.5216.5613.95
胆囊癌3.442.953.693.996.304.316.738.43
胰腺癌9.536.2711.1311.607.535.588.398.99
喉癌1.421.151.941.090.110.180.130.05
肺、气管及支气管癌60.6953.5066.9666.6421.1015.9220.7229.20
骨及关节软骨肿瘤2.392.792.322.151.681.482.081.40
膀胱癌7.867.327.4210.421.590.731.882.34
肾及泌尿系统不明肿瘤3.291.433.116.001.810.771.693.70
脑及神经系统肿瘤7.305.407.1810.177.153.596.9212.35
甲状腺癌2.820.861.938.0811.041.476.7333.43
淋巴瘤4.343.764.984.432.441.783.062.29
骨髓瘤0.990.781.111.180.700.220.621.51
白血病5.385.065.565.094.183.274.384.68
男性乳腺癌0.470.280.291.21----
前列腺癌4.581.364.399.21----
睾丸、阴茎及其他生殖器官肿瘤1.781.472.032.05----
女性乳腺癌----28.7714.3530.7941.73
子宫(颈)癌----9.764.699.1917.38
卵巢、胎盘及其他生殖器官肿瘤----5.183.975.456.36
"} {"image_path": "images/1b5fde4d45a80b4f48e5af9d42ef8c7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
频段/ MHz骚扰限值/dB(μV/m)
在试验场在现场
1组A类设备测量距离10m1组B类设备测量距离10m1组A类设备测量距离30m(指距设备所在建筑物外墙的距离)
0.15~30在考虑中在考虑中在考虑中
30~230403030
230~1000473737
"} {"image_path": "images/682b0092177d8641b5e5f80aaef7d361.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
城市$ 90m^{2} $及以下$ 90-144m^{2} $$ 144m^{2} $以上
环比同比定基环比同比定基环比同比定基
上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100
北京100.8105.6108.4100.5105.8108.2100.7106.0110.5
天津100.099.4101.9100.199.6102.299.1100.2104.0
石家庄100.299.4101.9100.397.899.6100.097.1100.1
太原99.795.895.399.295.494.599.798.296.4
呼和浩特99.898.8101.099.898.6100.598.998.6100.7
沈阳99.798.8101.799.999.2102.399.999.8103.3
大连100.3101.2105.399.7101.1104.699.7101.7106.4
长春100.0100.8101.8100.0100.5101.3100.0100.4101.5
哈尔滨99.794.494.599.194.394.199.694.695.0
上海100.0103.4106.5100.0103.3107.3100.0104.6108.1
南京99.6101.5105.599.6102.6106.499.1102.5107.1
杭州100.5105.8109.3100.4106.0107.9101.2107.2110.0
宁波99.8101.7106.299.7102.0106.099.8101.9105.8
合肥100.499.8104.599.799.4104.799.999.8105.4
福州99.799.8104.999.5100.5105.399.0100.9105.8
厦门99.1101.0104.799.5100.6104.399.7101.7105.8
南昌99.9101.0102.6100.7100.9102.1100.0100.2102.2
南昌99.4105.6105.899.9103.0105.199.8103.9104.2
青岛100.3102.3105.7100.1102.5105.4100.0103.1107.2
郑州98.997.999.799.998.3100.099.998.9100.5
武汉98.999.8104.499.499.6104.498.5100.4104.8
长沙100.0104.1109.3100.4105.3110.5100.2106.7110.8
广州100.1101.5110.1100.0101.8109.6100.4103.6110.2
深圳100.4104.0106.799.7103.8105.999.9104.2107.5
南宁100.199.5103.9100.2100.1103.9100.099.1104.3
海口100.9102.4106.2100.3102.5106.5100.4101.7105.7
重庆99.2105.2111.599.7106.3112.199.4106.2110.7
成都100.0102.2107.6101.3102.4107.5100.1103.9108.4
贵阳100.099.2101.5100.899.1103.1100.999.9103.7
昆明99.595.9102.7100.097.1102.399.997.5103.1
西安100.0105.7112.4100.3105.3111.6100.1104.7110.8
兰州99.097.5103.899.398.5103.699.998.9103.3
西宁99.999.7105.6100.0100.1106.0100.199.1106.6
银川99.8106.6116.3100.4105.9115.099.4106.6116.0
乌鲁木齐100.8104.5108.6100.6102.7105.7100.4104.4109.0
"} {"image_path": "images/edcff5a026ab64367d1c448c919780ad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
股東於本公司的股權
截至2018年12月31日截至2020年1月2日截至2020年12月31日截至最後實際可行日期
GT HoldCo28.29%50.35%50.35%45.01%
$ GF HoldCo^{(1)(2)} $28.29%9.34%9.34%4.70%
LXD HoldCo8.26%7.56%7.56%4.62%
$ GMC Ⅳ^{(3)} $4.42%4.61%4.61%4.38%
$ GMC Ⅴ^{(4)} $2.47%2.57%2.57%2.44%
$ GMC Ⅵ^{(5)} $4.24%4.42%4.42%4.20%
$ GMC Ⅶ^{(6)} $3.73%---
OrbiMed Asia12.18%12.69%12.69%12.83%
$ \\text{展業}^{(7)} $3.05%3.17%--
HL Capital3.05%3.17%3.17%3.02%
$ GL Capital^{(7)} $2.03%2.12%5.29%5.03%
Cuprite Gem---12.14%
$ GMC Teleon^{(8)} $---0.68%
$ Credit Suisse^{(9)} $0.95%
合計100%100%100%100%
"} {"image_path": "images/1bc4ebbc6c11a2ac9b1ed503a905d942.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
供试螟虫供试株系供试稻株数抗性/非抗性稻株数累计食叶面积 $ (mm^{2}/\\text{头}) $死亡率 (%)
第2d第4d第2d第4d
三化螟PR1630$ 30^{1)} $0.67±0.46 bB0.67±0.46 bB98.3100
PR1830$ 8^{1)} $0.75±0.28 bB0.75±0.28 bB88.9100
$ 22^{2)} $12.79±3.59 aA12.79±3.59 aA00
CK30$ 30^{2)} $6.04±1.87 aA13.34±3.68 aA06.7
二化螟PR1630$ 30^{1)} $0.41±0.13 bB0.41±0.13 bB59.2100
PR1830$ 7^{1)} $1.11±0.83 bB1.72±1.33 bB39.389.3
$ 23^{2)} $9.09±0.89 aA19.26±13.63 aA2.56.3
CK30$ 30^{2)} $8.54±6.35 aA18.56±11.12 aA2.52.5
"} {"image_path": "images/edc1569ab2617faf0faeaa5601fe94f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
5342
34 7156
42 6
8 9
137
2 5
7 8 9
32 46
1 2 3
4 6
7 8
1 2
4
5
1 2
4
7
1
9
6
"} {"image_path": "images/7805c9e6748465b7ab5dc9654c8fd3c6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
实验名称水的沸腾实验时间
实有人数缺课人数实验开出组数24
使用仪器材料(规格型号)试管、铁架台、酒精灯、玻璃片、火柴、水等。
实验进行情况(1)试管中的加入适量的水;(2)把试管斜夹在铁架台上;(3)点燃酒精灯,给试管加热;(4)水沸腾后,把玻璃片放近试管口观察;(5)整理归位。
实验完成情况各组都能在规定的时间按要求完成
实验的效果及成败实验现象明显,达到了预期的效果
本实验的改进意见
仪器的使用情况正常,无损坏
"} {"image_path": "images/c2ad6cdc091633da0a245facd13e35de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
处理用药量 ($ g/m^{2} $)面积(亩)土质防治率(%)
单子叶双子叶小地老虎野火病CK
苗床 (母床)303.0粘重土80.7278.60100100-
壤土98.3390.21100100-
沙壤10096.76100100-
405.0粘重土98.4594.0100100-
壤土10098.45100100-
沙壤100100100100-
504.0粘重土100100100100-
壤土100100100100-
沙壤100100100100-
营养土25400砚山点96.3692.21100100-
3500西畴点94.6393.33100100-
"} {"image_path": "images/1d7f4be5af2358192b5eb7e39684e5a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RankDetectorAUC ROCMacroFI @5% FPR
1Llama-3-8b-MultiSocial0.92730.7988
2Aya-101-MultiSocial0.92620.8008
3mDeBERTa-v3-base-MultiSocial0.90250.7512
4Mistral-7b-v0.1-MultiSocial0.89880.7937
5XLM-RoBERTa-large-MultiSocial0.83090.7306
6Binoculars0.83030.4041
7Fast-Detect-GPT0.81040.6361
8Falcon-rw-1b-MultiSocial0.75920.6394
9BLOOMZ-3b-MultiSocial0.70710.5731
10LLM-Deviation0.65680.3568
11DetectLLM-LRR0.64960.4133
12S50.63360.3519
13Longformer Detector0.61570.2564
14ChatGPT-Detector-RoBERTa-Chinese0.58960.4296
15RoBERTa-large-OpenAI-Detector0.57070.1958
16BLOOMZ-3b-mixed-Detector0.55360.1891
17ruRoBERTa-ruatd-binary0.51860.1485
"} {"image_path": "images/416d38689946eee0c8bd9a96771ab457.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项目要求$ ^{a} $试验参数试验方法
1耐气体组分无破坏、无渗漏试验温度
环应力
试验时间
80℃
2.0MPa
≥20h
6.1.8
2耐候性$ ^{b} $气候老化后应符合以下要求:累计太阳能辐射≥3.5GJ/$ m^{2} $6.1.9
a) 电熔接头的剥离强度
($ d_{n} 110mm $,SDR11)
a) 试样按GB/T19807制备,连接条件1:
23℃;脆性破坏的百分比≤33.3%
b) 断裂伸长率b) 应符合本部分表 8 的要求
c) (80 ℃、1 000h)
静液压强度
c) 应符合本部分表 8 的要求
3耐快速裂纹扩展(RCP)
($ e\\geqslant15mm $)
$ P_{c,Si}\\geqslant $MOP/2.4-0.072$ ^{c} $,MPa试验温度0℃6.1.10
"} {"image_path": "images/0368fbe40a47583570c4c156f7ff2c08.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
78931
79
268147
596
981
1672
845
29183
356
"} {"image_path": "images/e0c6ac13138c84ff53703c817de9625d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目2020.112020.122021.012021.022021.032021.04环比同比
总指数100.48104.51100.77101.98101.83101.75-0.08%14.00%
一、消费信心指数100.63104.41100.67101.93101.74101.71-0.03%15.46%
1.经济发展信心97.43103.0899.0599.4899.0899.250.17%19.94%
物价指数93.60100.7096.6093.6593.0093.400.43%20.75%
经济景气指数101.25105.45101.50105.30105.15105.10-0.05%19.23%
2.生活状况指数101.63105.25101.60102.78102.75102.47-0.27%14.68%
家庭经济状况101.35105.20101.45102.65102.50102.00-0.49%14.86%
家庭支出状况101.90105.30101.75102.90103.00102.95-0.05%14.52%
3.就业信心指数98.00101.8598.25100.0099.7099.800.10%17.55%
4.耐用品投资指数95.5599.6596.1398.4098.3398.380.05%21.31%
耐用品购买指数96.70100.5597.0599.1098.9599.000.05%19.35%
房地产购买信心94.4098.7595.2097.7097.7097.750.05%23.34%
5.贵州建设信心指数102.25106.05102.05103.35103.20103.15-0.05%14.17%
6.旅游指数108.18110.90106.98107.63107.50107.40-0.09%8.76%
旅游计划107.90110.55106.65107.45107.30107.15-0.14%8.84%
旅游收入108.45111.25107.30107.80107.70107.65-0.05%8.68%
7.金融指数101.38104.08100.65101.88101.63101.55-0.08%13.53%
金融投资计划101.65104.50101.05102.05101.90101.80-0.10%13.24%
金融投资比例101.10103.65100.25101.70101.35101.30-0.05%13.82%
二、健康指数99.48105.20101.43102.38102.43102.00-0.42%4.72%
健康状况98.65104.25100.50101.50101.55101.40-0.15%5.24%
健康对比状况100.30106.15102.35103.25103.30102.60-0.68%4.22%
"} {"image_path": "images/173219b2546b29354bce972dc2b41b1a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
8月29日上午8:30-11:30语文:7B102
英语道法:7B103
数学综实:7A101
体育:风雨操场
教学技能展示一新教师试讲开学第一课小组展示(每人15分钟)徐光伟、强大娇、林璐、吕佳、林雪菲、教研组长新教师
14:00-15:30大礼堂德育工作培训一立师德正师风--立德树人,行胜于言一一做清华附中福州学校的德育工作者韩磊新教师
下午14:00-15:30大礼堂德育工作培训二凝“新”聚力,赋能启航一一悉心陪伴下的德育工作黄晓东新教师
15:40-16:407B102教室通识培训三
暨结业式
教师职业规划与专业发展/合影刘文斌新教师
8月30日上午8:30-10:00礼堂通识培训五全体教职工大会:新学期新起点新挑战寇晓东全体教师
下午10:30-11:30教研组长安排通识培训四教研组会教研组长各教研组教师
14:00-15:00教研组长安排教学技能展示二以教研组为单位新教师二次试讲与评课教研组长新教师
"} {"image_path": "images/458c4abf7e5b18dff30d2e108289535d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
城市90$ m^{2} $及以下90-144$ m^{2} $144$ m^{2} $以上
环比同比定基环比同比定基环比同比定基
上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100
唐山100.097.8101.2100.298.6102.799.997.3100.7
秦皇岛99.095.996.998.996.197.799.497.798.6
包头98.9100.2102.599.5100.0101.299.4100.7102.1
丹东99.6101.8105.299.7101.7105.099.3101.4104.6
锦州99.9103.3105.299.7103.1106.499.9103.2105.7
吉林100.2101.3102.1100.0102.5103.6100.1102.3103.0
牡丹江99.297.897.499.498.797.199.099.598.2
无锡99.3103.5105.199.6104.2106.699.2104.6106.5
徐州100.0102.3106.899.6103.9108.199.5104.4107.0
扬州99.6102.8107.2100.0104.4107.799.9103.9107.2
温州99.9102.9105.3100.4104.5106.2100.0103.3105.3
金华99.9103.8106.399.9104.1106.6100.0104.7106.6
蚌埠100.099.9101.899.7101.6104.099.9100.8102.9
安庆100.099.498.7100.098.899.099.997.898.0
泉州99.2102.3106.599.2103.9106.699.4103.6106.3
九江98.9101.8102.699.8101.8103.198.6102.1102.7
赣州100.3104.4106.9100.4102.5104.4100.4101.0103.8
烟台99.5101.3103.399.7101.0103.4100.0100.3103.3
济宁99.6105.6109.899.4105.1109.699.8104.3109.5
洛阳98.5100.4100.799.3103.3104.499.9102.1103.4
平顶山99.2102.4103.799.9101.7103.5100.5101.4103.7
宜昌100.0102.3104.899.5102.6104.099.9100.3103.2
襄阳98.5101.2103.399.0101.0103.099.2101.8104.4
岳阳99.297.597.299.998.098.299.396.998.2
常德99.297.097.199.897.596.198.897.497.4
韶关99.8100.6102.499.4100.3100.699.5101.2100.9
湛江99.199.1100.798.999.8100.598.899.4101.7
惠州100.0101.4105.099.6100.8104.099.9100.3104.3
桂林100.3100.3100.5100.599.8100.2100.0100.0100.8
北海99.498.396.499.398.495.799.499.597.6
三亚100.2106.3109.3100.1104.6108.0100.0103.9106.6
泸州100.594.995.199.997.397.399.996.597.6
南充99.095.494.699.499.098.199.598.598.2
遵义99.8101.3101.2100.3100.2100.399.5100.6101.0
大理99.297.397.499.595.595.9100.095.295.6
"} {"image_path": "images/1959c616d666a716c3a5bd2dcd87f197.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2
1269
3251
814
573
429
2347
7965
3
"} {"image_path": "images/715b9c7bb23546f5837102903256eff6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目检验要求检验方法
1绕组的绝缘电阻值和吸收比运行温度时绝缘电阻值不应小于1MΩ/kV用兆欧表测量
吸收比不应小于1.2,中性点可拆开的应分相测量
2各相绕组的直流电阻值各相相互差别不应大于最小值的2%;中性点未引出的电动机应测量线间直流电阻值,相互差别不应大于最小值的1%用仪表测量
3定子绕组直流耐压试验和泄漏电流1000kW以上的电动机应进行试验。试验电压应为定子绕组电压的3倍;各相泄漏电流值不应大于最小值的100%,同时泄漏电流不应随时间延长而增大;当最大泄漏电流在20μA以下时,各相间应无明显差别。试验时中性点连线已引出至接线端子板的定子绕组应分相进行
"} {"image_path": "images/8892c2daef93bfc6dce21e6392c8d7ba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电缆电压级和类型、敷设特征普通支架、吊架(mm)桥架(mm)
控制电缆明敷120200
电力电缆明敷6kV以下150250
6kV~10kV交联聚乙烯200300
20kV~35kV单芯250300
20kV~35kV三芯 66kV~220kV,每层1根及以上300350
330kV、500kV350400
电缆敷设于槽盒中h+80h+100
"} {"image_path": "images/d7559ba8e3696982fc0129ab524e829c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StrategyBaseline factorMean of individual signals
Returnt-statisticTurnover rateReturnt-statisticTurnover rate
Full sample period
Original settings0.353.1047.13
Equally-weighted2.0113.2565.520.343.1146.85
Value-weighted1.367.4876.550.251.4746.83
Before 2003
Original settings0.362.0447.26
Equally-weighted1.918.3166.550.342.0447.37
Value-weighted1.655.9476.380.291.1048.05
From 2003 on
Original settings0.332.8246.35
Equally-weighted2.1412.3264.130.332.8446.21
Value-weighted0.984.7876.790.211.0445.33
"} {"image_path": "images/e4cee3fb571925ba3327c9495cb1c00c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
区市教体局监督举报电话监督举报邮箱
青岛市教育和体育局85912178jyjjcjyc@qd.shandong.cn
市南区教育和体育局51989256jyk777@163.com
市北区教育和体育局66751001shbjjk@126.com
李沧区教育和体育局87614300lcqjtjjyk@qd.shandon.g.cn
崂山区教育和体育局88996515laoshanedu@qd.shandong.cn
城阳区教育和体育局87868296157692675@qq.com
西海岸新区教育和体育局86988962、88192020jtj1102@163.com
即墨区教育和体育局88520573jmjtjjyk@qd.shandong.cn
胶州市教育和体育局82233800343766961@qq.com
平度市教育和体育局87360569pdshuangjian@126.com
莱西市教育和体育局88483456、81879595lxsjtjjyb@qd.shandong.cn
"} {"image_path": "images/e1e87a722d124830c167523f79df918a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
748613925
351928746
926745813
284359671
597186432
613472598
435267189
162894357
879531264
"} {"image_path": "images/ce56d72b06127df38eeb3602ab4f70f6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reddito disponibile medio familiareRicchezza netta media familiareDebito medio familiare verso intermediari finanziari (2)
Pesi del nuovo disegno (3)Pesi per il confronto storico (4)Pesi del nuovo disegno (3)Pesi per il confronto storico (4)Pesi del nuovo disegno (3)Pesi per il confronto storico (4)
Classe di età
Fino a 34 anni32.27929.760210.101151.70099.08781.090
Da 35 a 44 anni40.58934.256237.429152.757107.89685.124
Da 45 a 54 anni46.50035.343385.938222.89586.28560.122
Da 55 a 64 anni48.58737.682502.590273.67459.20241.107
Oltre 64 anni31.47927.657294.439214.38541.43526.583
Titolo di studio
Fino a licenza di scuola media26.49425.095194.759145.73247.37234.535
Diploma di scuola secondaria superiore41.42636.037354.291234.41577.97161.147
Laurea e oltre79.04452.601810.322436.957138.191103.273
Condizione professionale
Lavoratore dipendente41.27935.757237.971170.80378.27460.494
Lavoratore indipendente70.96349.950933.061618.590118.95696.243
Pensionato28.96127.447236.649198.71129.76323.528
Inoccupato (5)12.30111.907110.58072.023::::
Paese di nascita
Italia39.94332.982350.852224.18381.27159.880
Estero28.02624.641155.96597.12782.18259.189
Area geografica
Centro Nord45.41836.516419.292257.09193.72568.415
Sud e Isole27.44824.075187.812130.57642.37831.156
Totale39.34332.383341.044215.06681.32159.831
Per memoria: valori mediani28.00526.031150.750115.70041.14017.500
"} {"image_path": "images/f75765a1bd82e695123d9530f633b6af.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
7658
432
3246
8
968
2
6891
745
2938
"} {"image_path": "images/16e78716a9d4290ab3aecc9eecc372e7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
First-generation EGFR-TKI N=41 (%)Afatinib N=43 (%)Osimertinib N=36 (%)Chemotherapy N=19 (%)p
Age (years)59.95±9.9761.27±9.9866.63±10.3858±11.090.009
Gender
Male18 (43.9)18 (41.9)11 (30.6)15 (78.9)0.007
Female23 (56.1)25 (58.1)25 (69.4)4 (21.1)
Smoking history
Yes18 (43.9)17 (39.5)10 (27.8)13 (68.4)0.036
No23 (56.1)26 (60.5)26 (72.2)6 (31.6)
Pathological type
Adenocarcinoma38 (92.7)42 (97.7)32 (88.9)18 (94.7)0.246
Squamous carcinoma1 (2.4)001 (5.3)
Others2 (4.9)1 (2.3)4 (11.1)0
Stage
IIIB-IIIC4 (9.8)7 (16.3)2 (5.6)2 (10.5)0.528
IV37 (90.2)36 (83.7)34 (94.4)17 (89.5)
Central nervous metastasis
Yes2 (4.9)3 (7.0)5 (13.9)3 (15.8)0.252
No39 (95.1)40 (93.0)31 (86.1)16 (84.2)
EGFR sensitizing mutation
G719X and its complex mutation15 (36.6)20 (46.5)8 (22.2)4 (21.1)0.0001
L861Q and its complex mutation9 (22.0)15 (34.9)10 (27.8)3 (15.8)
S768I3 (7.3)1 (2.3)2 (5.6)0
Others14 (34.1)7 (16.3)16 (44.4)12 (63.1)
"} {"image_path": "images/feef5a8432967f9fc90df9349827cec5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
质控菌株及编号指标培养条件标准值特征性反应
大肠杆菌8099生长率36°C±1°C培养48±2hPR≥0.8白色菌落
金黄色葡萄球菌ATCC6538生长率PR≥0.8淡黄色菌落
"} {"image_path": "images/19f21e2928f853c51ae86bb4e0382e5f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组别组长指导教师活动地点
文学写作朗诵唐晴杨昌伟
陈雪峰
一年级一班教室
写作董子文李文凤
叶正荣
五年级一班教室
体育竞技篮球何继高唐勇
王永亮
学校外操场
跳绳、武术校园集体舞黄正中唐露
黄帅
学校内操场
乒乓伏仁智王国安
苏艳
学校乒乓球场地
艺术欣赏书法唐连章王瑛
管丽容
二年级二班教室
音乐陈玉安赵海英
杨彩虹
六年级一班教室
美术郑晓琳罗丹
蒲玉芳
一年级二班教室
摄影母建军徐宗尧
张凤
三年级二班教室
科技创新动漫(IT)李建银拜钰悦
王清寿
微机室
科技制作梁玉钊杜清平
王永安
三年级一班教室
"} {"image_path": "images/d1e3f4ddf29e1163cd1ec7ba4b6768b4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目检验要求检验方法
1与地面距离一般情况≥0.7m测量检查
穿越农田≥1m
2保护层细砂覆盖层厚度≥100mm观察和测量检查
3宽度应超过电缆两侧50mm
4电缆保护板应完好齐全
5直埋方位标志直线段每50~100m应设1个观察检查
6接头处、转弯处、进建筑物处每处应设1个
"} {"image_path": "images/e46447f669455a1b484625249081d608.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
135
79
"} {"image_path": "images/ce6c10a7a82898f4594c9581d116faf6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
25
689
"} {"image_path": "images/7c9df5d2b37f19847bd0cffe1147c647.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组长人员构成
星期一梁文毅梁义啸 郭启森 李岩 王菲菲 梁真真 齐文涵 刘建敏 张同新 杜菁华
星期二武瑞瑶武瑞琛 李宗文 李文哲 房兴旺 杨康 林志强 梁云丽 孔雷娜 张翡
星期三李洋洋肖桂强 孟成智 张旭 刘利康 肖孟琦 李欣宇 范泽华 赵燕 姬昊天
星期四路万里肖乐晨 安祥伟 雷明辉 张妍 肖秀清 李若彤 孔晓楠 何友祺
星期五肖凯玉杜博涵 尉照国 王文 雷万青 范淑婷 姬忠颖 李慧莹 孟冬慧
男生宿舍姬忠颖一组姬忠颖 房兴旺 安祥伟 尉照国 何友祺
二组杨康 肖凯玉 王文 李文哲 路万里
女生宿舍孔晓楠一组范淑婷 刘利康 肖秀清 刘建敏 张旭
二组李若彤 肖孟琦 王菲菲 赵燕 张妍
三组孟成智 孟冬慧 孔雷娜 齐文涵 肖乐晨
"} {"image_path": "images/7cf4473a4fa9455a293ee1612127f2db.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
城市90$ m^{2} $及以下90-144$ m^{2} $144$ m^{2} $以上
环比同比1-9月
平均
环比同比1-9月
平均
环比同比1-9月
平均
上月=100上年同月=100上年同期=100上月=100上年同月=100上年同期=100上月=100上年同月=100上年同期=100
唐山99.793.492.599.494.693.299.993.092.4
秦皇岛99.494.793.799.795.394.099.895.093.0
包头98.894.294.999.194.293.799.094.093.9
丹东99.595.194.499.796.594.899.795.895.0
锦州99.997.294.699.897.196.699.995.894.7
吉林99.395.494.399.796.295.199.596.696.0
牡丹江99.996.594.799.797.194.499.996.293.7
无锡99.697.396.299.896.096.199.697.395.6
徐州99.093.293.799.495.395.099.795.194.0
扬州99.193.693.699.494.194.099.293.093.9
温州99.296.392.699.296.592.999.495.691.8
金华99.998.093.099.697.493.099.896.693.4
蚌埠100.396.695.299.896.394.499.895.694.7
安庆100.098.497.099.596.294.799.495.594.6
泉州100.098.995.099.897.194.099.798.694.7
九江98.896.194.899.296.695.298.996.094.3
赣州99.299.096.298.998.096.399.398.196.6
烟台99.795.093.999.896.595.399.795.694.6
济宁100.097.295.399.696.896.499.995.794.2
洛阳99.896.795.499.697.295.099.896.994.6
平顶山99.9100.399.599.899.898.9100.099.999.4
宜昌99.798.697.499.9100.597.899.899.796.0
襄阳99.395.095.499.295.995.099.495.794.2
岳阳99.695.893.599.595.594.399.296.094.8
常德99.695.793.899.396.594.499.896.193.5
韶关100.096.195.7100.096.895.299.796.994.7
湛江99.998.595.899.898.596.199.997.595.6
惠州100.196.694.9100.197.695.6100.096.794.8
桂林99.697.497.399.797.396.599.297.097.3
北海99.294.594.199.594.193.599.593.693.5
三亚100.199.898.299.9100.297.9100.499.898.4
泸州99.994.893.999.395.193.599.895.093.4
南充100.098.497.399.897.797.299.097.097.4
遵义99.898.097.199.597.296.899.696.796.4
大理99.495.993.199.795.194.599.496.594.1
"} {"image_path": "images/4a6c41f3258387825235156dc5d86e74.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间值班校长年级值班主任值班班主任
第一组孙兆安高一梁驰董培东、陈仲友、赵艳颖、王艳
高二刘英锋赵尧庠、蔡亚雷、陈厚刚、李秋影
高三陈保生童小囡、郑夫扬、李来生、赵树东
菁华岳崇斌杨友智、王培、赵耀、赵枢尧
第二组邢长军高一宋诗全张雪辉、张响、宋丙侠、李平
高二谢化锋庄后伟、曹松、杜文彬、王琳
高三刘兆蒋广锋、曹爱丽、张孝法
菁华祝仰庆厉功元、陈爽、朱祥祥、鹿飞
第三组宗勇高一李广水冯强、汪允立、孔德申、孟翠
高二李素玲李传达、李振、张强、厉剑
高三杜文涛付维、杜文进、张凤、杨冬冬
菁华耿冬梅程廷纪、魏闪闪、田贺、赵后银
第四组陈宝学高一刁广利李智慧、周凯旋、赵倩
高二张克平孙强、王世彪、吴荣华、徐厚璞
高三张博郝家顺、邓慧兰、张莉、楚克征
菁华刘金玉闫微、朱敏、李东武、沈兴云
第五组吴书亮高一朱永智许德凤、王鹏、赵娟
高二赵汝亚程林、甘永、耿淑慧、耿广朋
高三王芳汪海洋、袁长远、梁红梅、宋永光
菁华刁绍明李怀芝、郑庆春、赵维、史淑鹏
"} {"image_path": "images/91367fe79c3e5f717fa8a0bf9ca0fd6e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
135
6810
"} {"image_path": "images/5112393a23d863db81655be9c4840321.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
城市环比同比定基城市环比同比定基
上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100
北京100.6106.5115.0唐山99.697.5101.2
天津99.599.398.6秦皇岛99.996.397.7
石家庄99.895.194.1包头99.497.799.9
太原98.493.891.7丹东99.697.0100.3
呼和浩特99.897.096.8锦州99.296.195.6
沈阳99.697.6102.2吉林100.097.697.0
大连99.099.7104.8牡丹江100.090.485.7
长春100.099.497.0无锡99.8101.1107.1
哈尔滨98.994.092.4徐州100.498.3106.3
上海100.0103.7111.9扬州98.898.1103.6
南京99.499.1103.9温州99.599.1104.5
杭州100.1102.7109.5金华99.698.4104.0
宁波99.9100.1107.6蚌埠99.899.4103.0
合肥99.298.2103.3安庆99.794.793.0
福州100.399.3103.7泉州99.498.5104.7
厦门100.2100.0104.3九江100.199.0101.7
南昌99.598.699.5赣州100.3100.4101.9
济南99.299.198.4烟台99.398.5100.7
青岛99.399.499.6济宁99.598.4103.0
郑州99.598.298.3洛阳99.197.3100.1
武汉99.698.1100.4平顶山99.798.1100.6
长沙99.5101.9105.6宜昌99.996.696.1
广州100.5102.0111.9襄阳99.497.697.4
深圳100.597.2106.0岳阳100.297.897.3
南宁99.696.698.3常德99.595.795.2
海口100.1105.8110.6韶关99.396.798.0
重庆99.5101.9104.9湛江99.897.198.1
成都100.7103.6109.6惠州99.799.2103.1
贵阳99.896.094.9桂林99.697.799.1
昆明100.699.5103.3北海99.796.794.4
西安99.9101.8107.0三亚100.0101.6105.2
兰州99.897.9101.9泸州99.897.897.5
西宁100.399.3105.0南充100.495.792.5
银川99.599.1105.8遵义99.796.196.9
乌鲁木齐99.996.9101.0大理99.194.396.1
"} {"image_path": "images/97444e431acb5d978645962be187f5bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
负债及股东权益附注2023年
12月31日
2022年
12月31日
流动负债
短期借款3,784,698,6485,404,980,074
衍生金融负债14,796,0353,245,457
应付票据-127,683,644
应付账款786,866,607561,561,629
合同负债1,195,906,344511,638,913
应付职工薪酬447,087,600496,884,609
应交税费288,414,729144,824,951
其他应付款265,090,2981,085,563,100
一年内到期的非流动负债5,264,659,1655,857,039,884
其他流动负债496,035,68240,851,415
流动负债合计12,543,555,10814,234,273,676
非流动负债
长期借款3,636,671,4573,934,134,288
租赁负债9,854,562,5669,754,662,075
长期应付款十三(4)2,347,101,4003,619,388,527
预计负债254,681,692278,574,290
其他非流动负债343,789,052258,688,848
非流动负债合计16,436,806,16717,845,448,028
负债合计28,980,361,27532,079,721,704
股东权益
股本四(31)978,548,805978,548,805
资本公积四(32)7,794,815,6667,793,796,031
减:库存股四(33)(74,279,958)(72,227,704)
其他综合收益四(34)(27,286,865)172,090,812
盈余公积四(35)489,274,403414,557,647
未分配利润4,494,872,0222,754,221,684
股东权益合计13,655,944,07312,040,987,275
负债及股东权益总计42,636,305,34844,120,708,979
"} {"image_path": "images/96783b497b471c57a8628ec90d365fef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
12
3
254
452
2
65
"} {"image_path": "images/b3051e09980d02f204503278f2716872.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目油浸变压器(kV·A)
室内布置
干式变压器(kV·A)
室内布置
油浸变压器
室外布置
2000及以下2500及以上无外壳2500及以下
变压器与后壁、 侧壁之间0.81.01.0变压器之间 $ \\geqslant5.0 $
变压器与门之间1.01.21.2
"} {"image_path": "images/3a28f990983118996cbe4f3002984bf3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
54
13
25
54
54
61
"} {"image_path": "images/195e041a3b433f39d90141c137954757.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
94
52
1
691
52
47
13
69
4
"} {"image_path": "images/1930a7a12675e7c051dd9d48af5ebcd1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
回路名称使用条件采用设备
20 kV 电压侧电源进线专用电源线隔离开关或负荷开关
Ⅱ入母线当保护控制要求时,采用断路器;
当保护控制无要求时,采用负荷开关
T接分支断路器或负荷开关
主变高压测主变容量:干式≥1000kV·A
油浸式≥800kV·A
断路器
主变容量:干式<1000kV·A
油浸式<800kV·A
带熔断器的负荷开关
母线分段断路器或负荷开关
电源出线
母线设备隔离开关或负荷开关
断路器或熔断器的开断性能短路开断电流≥20kA;
关合电流(峰值)≥50kA
"} {"image_path": "images/788c2b58586841afba73808977b55077.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
75
28
132
41
24
82
713
64
56
"} {"image_path": "images/7b65a3d61ec99afe14e473798f3701d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
设施名称内容
消防联动控制系统防火门及卷帘系统防火卷帘控制器、防火门监控器的工作状态和故障状态;卷帘门的工作状态,具有反馈信号的各类防火门、疏散门的工作状态和故障状态等动态信息
消防电梯消防电梯的停用和故障状态
消防应急广播消防应急广播的启动、停止和故障状态
消防应急照明和疏散指示系统消防应急照明和疏散指示系统的故障状态和应急工作状态信息
消防电源系统内各消防用电设备的供电电源和备用电源工作状态和欠压报警信息
"} {"image_path": "images/989ff10caeffc569dbfc1e3e0e5d0c3d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指标绝对量 (元)比上年名义增长 (%)
(一) 城镇居民人均可支配收入474128.2
按收入来源分:
工资性收入284818.0
经营净收入538214.2
财产净收入50529.2
转移净收入84974.7
(二) 城镇居民人均消费支出3030712.2
按消费类别分:
食品烟酒867810.1
衣着184312.0
居住74056.4
生活用品及服务182011.0
交通通信393213.2
教育文化娱乐332228.2
医疗保健252116.1
其他用品及服务78621.7
(三) 农村居民人均可支配收入1893110.5
按收入来源分:
工资性收入795814.1
经营净收入65668.0
财产净收入46912.1
转移净收入39377.5
(四) 农村居民人均消费支出1591616.1
按消费类别分:
食品烟酒520016.1
衣着85920.6
居住331511.9
生活用品及服务90017.3
交通通信213215.8
教育文化娱乐164525.7
医疗保健158011.4
其他用品及服务28426.5
"} {"image_path": "images/c1d492f8190f36611af0ae3555dce702.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
56
2
63
31
4
15
"} {"image_path": "images/af45dee66530f506e5e8450aa4d70d46.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
城市$ 90m^{2} $及以下$ 90-144m^{2} $$ 144m^{2} $以上
环比同比定基环比同比定基环比同比定基
上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100
北京101.3108.9111.5100.2108.3111.3100.3107.5112.5
天津99.7101.7100.599.6101.299.499.2100.198.4
石家庄99.497.496.498.795.894.598.496.795.6
太原98.795.694.398.797.095.698.995.893.7
呼和浩特100.098.197.999.699.098.2100.096.997.2
沈阳99.8102.1105.399.2101.8104.798.9100.6104.4
大连100.0104.7107.699.4103.2106.399.7103.9106.8
长春99.799.298.399.899.397.799.399.998.6
哈尔滨99.198.395.998.898.595.998.998.494.8
上海100.4106.0109.8100.3107.1109.8100.7106.8110.0
南京99.5103.6105.0100.0104.0107.199.5104.0106.8
杭州100.2104.6108.0100.3105.6108.6100.5106.3109.4
宁波99.7102.6107.399.9103.7107.799.9103.7107.8
合肥99.7103.2105.699.6102.2104.999.8101.4104.3
福州99.6102.7104.2100.0103.7105.199.9102.6104.6
厦门99.5101.0103.499.9101.7104.199.3101.6103.9
南昌99.799.199.399.699.999.999.999.5100.2
济南99.7101.099.499.8101.699.9100.1102.099.9
青岛99.7101.7100.499.7100.5100.099.5102.0101.1
郑州99.3100.399.099.7101.499.899.7101.199.7
武汉99.6101.7101.399.6102.7103.699.1101.8101.9
长沙100.1104.5105.8100.3105.3106.8100.4105.7106.5
广州100.0105.8110.699.4105.6110.599.5106.3110.4
深圳99.8100.3107.199.4101.2106.299.1100.8105.0
南宁99.898.9100.899.597.298.999.398.6100.4
海口100.1106.7108.9100.1107.2109.4100.4107.8109.9
重庆99.9104.8105.299.2103.5104.199.5105.2105.3
成都99.8102.6105.599.3104.8107.6100.2105.1108.0
贵阳99.997.596.299.097.795.699.599.398.2
昆明100.6100.8101.7100.2101.0101.9100.999.0101.8
西安99.7106.0107.099.8105.2107.399.7106.0107.5
兰州99.8102.0104.699.7100.6102.599.9100.4101.2
西宁99.2101.9106.299.8102.4105.599.6101.1106.2
银川99.8103.1106.799.8102.9107.499.5103.5108.3
乌鲁木齐99.598.4101.999.898.7101.199.697.5100.8
"} {"image_path": "images/dc416ffa4013952f754d4695554fd05d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
3457
934
5271
325
81547
918
46
4179
12975
"} {"image_path": "images/cdb35bc93a68cdaa7a3ad11c27435661.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
问题层级
检查处理情况
学校班级
自查 自纠
情况
发现问题数(个)
自行纠正数(个)
催促
检查
情况
发现问题数(个)
已纠正数(个)
明查 暗访
情况
发现问题数(个)
已纠正数(个)
通报曝光学校/老师情况(请附相关通报)
处理相党纪处分情况
"} {"image_path": "images/2db660479cb04a425ae7a8b77c853d28.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
912
18
5742
479
93
78
954
163
76
"} {"image_path": "images/8ae22f3c856838675d0d247dd9cdb81e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
摘要应借科目金额记账
一级科目明细科目
提现,备用库存现金5000.00
合计¥5000.00
"} {"image_path": "images/dd62d439f4873b63b3d2444e9fda96a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
25
3
52
21
6
63
"} {"image_path": "images/c69be54e1b9559b298e380dcb6a5b102.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检验项目/条款单位判定依据要求检测方法检出限实测结果分项判断
1.mg/kg≤10《化妆品安全技术规范》(2015年版)第四章1.60.03未检出合格
2.mg/kg≤1《化妆品安全技术规范》(2015年版)第四章1.60.001未检出合格
3.mg/kg≤2《化妆品安全技术规范》(2015年版)第四章1.60.001未检出合格
4.mg/kg≤5《化妆品安全技术规范》(2015年版)第四章1.60.001未检出合格
5.菌落总数CFU/g≤1000《化妆品安全技术规范》(2015年版)第五章 2-<10合格
6.霉菌和酵母菌总数CFU/g≤100《化妆品安全技术规范》(2015年版)第五章 6-<10合格
7.耐热大肠菌群/g不得检出《化妆品安全技术规范》(2015年版)第五章 3-未检出合格
8.金黄色葡萄球菌/g不得检出《化妆品安全技术规范》(2015年版)第五章 5-未检出合格
9.铜绿假单胞菌/g不得检出《化妆品安全技术规范》(2015年版)第五章 4-未检出合格
"} {"image_path": "images/78ec059a04f687fa2c9ca3e15fdf5d50.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
392
3218
418
29
7315
56
385
7516
697
"} {"image_path": "images/9b3b37e3b7f497f32d66cbaf7608b744.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A-C equationsr (n=6)Present in sample ($μg~ml^{-1}$)Found ($μg~ml^{-1}$)
$BrO_3^{-}$$IO_3^{-}$$BrO_3^{-}$$IO_3^{-}$
$A_{250}=0.7C+0.864$ 0.99840.700.500.670.48
$A_{50}=0.217C+0.543$ 0.999
$A_{250}=0.694C+0.872$ 0.99930.700.500.710.50
$A_{50}=0.2103C+0.542$ 0.9995
$A_{250}=0.695C+0.870$ 0.99860.70 0.500.680.51
$A_{50}=0.222C+0.548$ 0.999
$A_{250}=0.702C+0.896$ 0.99910.700.500.710.52
$A_{50}=0.215C+0.564$ 0.9993
$A_{250}=0.721C+0.938$ 0.9990.700.500.720.51
$A_{50}=0.216C+0.5736$ 0.9992
Mean0.700.50
S.D.0.0220.015
RSD (%)3.13.0
"} {"image_path": "images/380249c3ce0621870d1a662df747563b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MoleculeOne-center termsTwo-center terms
type$\\Pi_{AA}^s$$\\Pi_{AA}^{t}$$\\Pi_{AA}^{eff}$type$\\Pi_{AB}^s$$\\Pi_{AB}^t$$\\Pi_{AB}^{eff}$
$H_2$H0.2500.0000.250HH0.5000.0000.500
HFH0.1270.0000.127HF1.5283.2080.459
F8.34514.7923.414
$H_2O$H0.1750.0000.175OH1.5663.2440.485
O6.34110.9882.678H...H0.1760.5230.002
$NH_3$H0.2130.0000.213NH1.4552.8820.494
N4.3537.4411.873H...H0.2140.6380.001
$CH_4$H 0.2590.0000.259CH1.2452.2640.490
C2.4224.3140.984H...H0.2600.7720.002
HClH0.1670.0000.167HCl1.7083.6740.483
Cl8.12614.3263.351
$H_2S$H0.2290.0000.229SH1.7053.6180.499
S5.90410.0782.545H...H0.2290.6860.000
$PH_3$H0.2970.0000.297PH1.5373.1220.496
P3.6105.9631.622H...H0.2970.8900.000
$SiH_4$H0.3310.0000.331SiH1.2032.2550.451
Si1.8403.1340.795H...H0.3370.9740.012
"} {"image_path": "images/6c2b17f2109a345ec58887d1f8ab942d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
相纸富士一次成像相纸 instax mini(另售)
照片尺寸62 mm×46 mm
镜头2组2片,f=60 mm,1:12.7
取景器实像式取景器,0.37倍,带瞄准标记微距拍摄模式配备视差校正功能
拍摄距离0.3m~∞(在0.3m至0.5m的距离内请使用微距模式)
快门程序式快门
1/2至1/250秒
光线不足时可使用慢速同步
曝光控制自动,Lv 5.0至14.5(ISO 800)
"} {"image_path": "images/6cf0cd8554b50e0da2ce058cd5b91056.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
功能名称步骤
时钟设置本系统时钟为24小时制。
1.刚上电时,显示“1:01”。
2.按【5分】、【1分】、【10秒】键输入时钟。
3.按【启动/+30秒】键一次确认,完成时钟设置。
!注意 每按一次【5分】键增加1小时,每按一次【1分】键增加10分钟,每按一次【10秒】键增加1分钟。
微波烹调设置1.在待机状态下,按【变频微波】键一次,显示“P100”。
2.连续按【变频微波】键选择微波档位。
3.按【5分】、【1分】、【10秒】键,设置烹调时间。
4.按【启动/+30秒】键一次确认,系统开始烹调倒计时。
!注意 1.在烹调过程中,按【变频微波】键一次显示当前烹调火力。
2.在烹调过程中,按【启动/+30秒】键可延长烹调时间,每次增加30秒。
快速烹调设置1.按【启动/+30秒】键一次,显示“0:30”。
2.连续按【启动/+30秒】键延长烹调时间,每次增加30秒。
按重解冻功能设置1.在待机状态下,按【解冻】键一次,显示“100”。
2.连续按【+】、【-】键选择重量(100g-2000g)。
3.按【启动/+30秒】键一次确认,系统将根据食物重量进行解冻。
4.解冻至一定时间系统自动暂停,蜂鸣器发出提示音,用户翻面食物,之后关闭炉门。
5.按【启动/+30秒】键一次启动,开始剩余的解冻程序。
!注意 1.用于鱼类的解冻;解冻完成后用水冲洗可达到冻结前的状态。
2.用于切肉的解冻;肉团基本疏松。
童锁设置设置方法:待机状态下,按【暂停/取消】键3秒,显示“Loc”,系统进入童锁状态,此时按取消键以外任意键无效。
解除方法:在童锁状态下,按【暂停/取消】键3秒,“Loc”符号消失,童锁解除,此时系统已恢复正常,所有按键操作有效。
自动菜单设置1.在待机状态下,选择对应的自动菜单。
2.连续按该菜单可选择菜单的重量或分量。
3.按【启动/+30秒】键开始烹调。
"} {"image_path": "images/3a2180b3b73e2648611f5b438ff9e646.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
点位名称重金属检测项目备 注
$\\mathrm{Cd}$$$$/\\mathrm{mg} \\cdot \\mathrm{L}^{-1} $$\\mathrm{Hg}$$$$ / \\mathrm{mg} \\cdot \\mathrm{L}^{-1}$$\\mathrm{As}$$$$ / \\mathrm{mg} \\cdot \\mathrm{L}^{-1}$$\\mathrm{Pb} $$$$/ \\mathrm{mg} \\cdot \\mathrm{L}^{-1}$$\\mathrm{Cr}$$$$ / \\mathrm{mg} \\cdot \\mathrm{L}^{-1}$$Cu$$$$/ \\mathrm{mg} \\cdot \\mathrm{L}^{-1}$$Zn$$$$/ \\mathrm{mg} \\cdot \\mathrm{L}^{-1}$pH 值
岜落山水库0.001<0.0004<0.0010.0540.02<0.001<0.0076.48长屯饮用水
那良水库0.0080.005<0.0010.0200.0120.0500.0507.44长屯饮用水和生活用水
长屯东天窗0.003<0.0004<0.0010.03<0.001<0.001<0.0077.67长屯村灌溉用水
洞零抽水井0.0020.680洞零村饮用水
榜屯水井0.004<0.0004<0.0010.026<0.001<0.0010.0047.24榜屯饮用水
伏马抽水井0.0030.0696.94伏马村饮用水
或屯抽水井0.0101.0000.0500.0500.0101.0001.0007.1或屯饮用水
"} {"image_path": "images/65d44485ce5eb78c7f1ad2b70d76595f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
常见问题故障原因建议解决方法
压缩机不正常工作并伴随嗡嗡声1.电压太低1.关闭机器,待电压稳定后重启
缺水指示灯亮1.缺水
2.水泵充满空气
1.加水到MAX位置。
2.重新按电源按键启动机器
控制板上的灯不亮1.保险丝断/没有电1.更换保险丝/打开电源
制出来的冰太大,且有些粘在一起1.前期循环制作的冰留在了水盘内1.待机状态把冰取出
制冰的程序正确,但是没有冰出来1.压缩机没有冷媒
2.压缩机损坏
3.风扇电机损坏
1.打服务热线。
所有的指示灯同时闪烁。1.水盒被冰块堵住
2.电机被卡死,或者电机脱落,或者电机损坏
3.微动开关损坏
1.拔掉电源,取出冰铲下面的冰块,重新插上电源,按电源键,3分钟后,机器就会自动重启。
2.打服务热线。
机器一直在工作,但是水一直在变暖1.电磁阀出现故障1.更换电磁阀。
冰满以后,机器不提示冰满1.冰满传感器损坏
2.太阳光线干扰
1.更换红冰满传感器
2.移到室内做冰
3.打服务热线
"} {"image_path": "images/2c0204d0288709f4d4b6be5e154874a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
大秦铁路(601006)利润表单位:人民币万元
报表日期3/31/201212/31/2011
营业总收入1,119,0004,500,704
营业收入1,119,0004,500,704
营业总成本721,0243,145,044
营业成本606,7182,642,032
营业税金及附加37,444151,003
管理费用57,102240,192
财务费用19,760111,740
资产减值损失77
投资收益45,227181,264
对联营企业和合营企业的投资收益45,227180,963
营业利润443,2031,536,923
营业外收入11653
营业外支出1,26512,864
非流动资产处置损失32,680
利润总额441,9491,524,713
所得税费用100,216354,832
净利润341,7331,169,882
归属于母公司所有者的净利润341,7171,169,864
少数股东损益1617
每股收益(单位:人民币元)
基本每股收益0.230.79
稀释每股收益0.230.79
"} {"image_path": "images/7af80b7457c76d15cf6aa3f449b2479f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Geometric Mean Diameter $(\\mu \\mathrm{m})$
InkGlassFrit$\\mathrm{RuO}_{2}$ Rings GlassIslands % Glassin Islands
A1 4.6 7.019.157
A24.63.712
B14.64.322.142
B24.63.611
B34.62.6~0
C14.6$\\sim \\infty$14.9~100
"} {"image_path": "images/20f57754c932fd2c794f9d4907d48010.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$T_1$($^{\\circ}C$)$T_{max}$($^{\\circ}C$)$P_{max}$(bar)$PR_{opt}$$X_{opt}$$\\eta_I$ (%)
PresentworkReference[13]PresentworkReference[13]PresentworkReference[13]
325502002.6432.640.30110.31241.7441.9
325503003.9073.90.32290.33144.7144.83
327502003.4982.650.11370.246.947.05
327503003.953.950.24330.25550.5950.78
505502002.5622.550.15620.16537.5437.65
505503002.8772.870.22650.23539.8840.01
507502003.4352.960.088470.07844.544.4
507503003.2833.250.1540.1514646.15
"} {"image_path": "images/cceb14b450e99acc05289e11a1573750.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目附注2024年2023年
营业收入
利息收入42347,786351,273
利息支出43(142,293)(143,568)
净利息收入205,493207,705
手续费及佣金收入4467,93879,279
手续费及佣金支出(7,580)(7,423)
净手续费及佣金收入60,35871,856
投资收益4526,46820,316
其中:对合营企业的投资收益1,7872,014
对联营企业的投资收益1,0961,052
以摊余成本计量的金融资产终止确认产生的损益4,033958
公允价值变动收益468,4902,784
汇兑净收益3,8884,080
其他业务收入47688700
其他净收入小计39,53427,880
营业收入合计305,385307,441
营业支出
税金及附加48(2,735)(2,728)
业务及管理费49(100,573)(104,641)
信用减值损失50(36,466)(36,775)
其他资产减值损失3(8)
其他业务成本51(67)(64)
营业支出合计(139,838)(144,216)
营业利润165,547163,225
加:营业外收入40117
减:营业外支出(414)(175)
利润总额165,173163,167
减:所得税费用52(26,025)(25,646)
净利润139,148137,521
其他综合收益的税后净额
以后将重分类进损益的项目:21,587943
- 权益法下在被投资单位的其他综合收益中享有的份额2,44077
- 分类为以公允价值计量且其变动计入其他综合收益的
金融资产公允价值变动
16,0463,065
- 分类为以公允价值计量且其变动计入其他综合收益的
金融资产信用损失准备
3,030(2,190)
- 现金流量套期损失的有效部分(7)11
- 外币财务报表折算差额78(20)
"} {"image_path": "images/b658604f56659623da5c56c30ce651bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Grade$F_N$(N)Width(mm)Depth($\\mu$m)$\\mathrm{V_{wear}}$$(10^{-3}\\mathrm{mm}^{3})$$k_V$(10km)$10^{-9}\\mathrm{mm}^{3}\\cdot\\mathrm{N}^{-1}\\cdot\\mathrm{m}^{-1}$
WC-Ni (A)150.936.815.5103.0
250.9910.424.497.6
351.0724.833.094.2
WC-Ni (B)150.988.220.0128.0
251.0512.628.2113.0
351.1227.640.0112.0
WC-Ni (C)150.642.42.315.3
250.683.53.212.8
350.734.44.212.0
WC-Co (D)150.763.74.530.0
250.814.95.421.6
350.865.87.521.4
"} {"image_path": "images/98f3c813b8ca729c008b1421c0413676.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GroupnBW, g SP,mmHg$\\underset{\\mathrm{min}^{-1}}{\\mathrm{HR},}$a, mmR/h
Controls12477 1273530.66615.8
±17±3±21$\\pm 0.014$±0.7
Renal9461146*3390.64814.1
±17±4±22$\\pm 0.010$±0.9
DOCA9458162*315$0.615^{*}$11.4*
±26±5±16$\\pm 0.015$±0.7
"} {"image_path": "images/f250319c12d029c0e648ddb5cb6b175f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目单位合 计国 营 单 位 集体经营单位农 机 户(抽样推算全体)
小 计其中:国营农机站小 计其中:乡(镇)农机管理服务站
二、费用支出万元25755. 981921. 06$-$1640. 42$-$22194. 50
1. 生产费用万元21128. 561613. 98$-$1235. 36$-$18279. 22
2. 管理费用万元2598. 20172. 19$-$246. 34$-$2179. 67
3. 其它费用万元2029. 22134. 89$-$158. 72$-$1735. 61
三、纯 收 入万元17764. 92171. 55$-$1223. 73$-$16369. 64
1. 国家税、费万元2865. 4149. 23$-$324. 87$-$2491. 31
2. 提 留万元454. 405. 10$-$65. 90$-$383.40
3. 单位或农机户所得万元14445. 11117.22$-$832. 96$-$13494. 93
"} {"image_path": "images/0ce60e7d24ab9500098548236796406c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\frac{r_w{}^2}{\\langle \\lambda_d{}^2 \\rangle}$$\\frac{\\omega_{11^2}}{\\langle\\omega_{\\mathbf{p}^2}\\rangle}$$A_{11}$$\\frac{\\omega_{12^2}}{\\langle\\omega_{\\mathrm{p}}{}^2\\rangle}$$A_{12}$$\\frac{\\omega_{13^{2}}}{\\langle\\omega_{\\mathbf{p}}{}^{2}\\rangle}$$A_{13}$
720.64040.85212.6560.12974.9770.01859
1940.36570.84121.6180.13702.8150.02177
5150.22020.85071.1060.12081.8590.0254
15800.12700.86920.79830.09071.3020.0242
45300.07670.88760.64310.06461.0140.0204
"} {"image_path": "images/505811e595938d2794a138cc545cbabf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
j$\\lambda_{j} \\times 10^{-3}$
Proportional viscous$\\mu=100,~ \\alpha=10$$\\mu=100, ~\\alpha=0.1$$\\mu=1, ~\\alpha=0.01$
1$-0.1161\\pm0.0725\\mathrm{i}$$-0.0604\\pm0.1369\\mathrm{i}$$-0.0214\\pm0.0702\\mathrm{i}$$-0.0214\\pm0.0698\\mathrm{i}$
2$-0.1161\\pm0.2901\\mathrm{i}$$-0.0622\\pm0.2949\\mathrm{i}$$-0.0585\\pm0.2853\\mathrm{i}$$-0.0585\\pm0.2853\\mathrm{i}$
3$-0.1161\\pm0.6528\\mathrm{i}$$-0.0696\\pm0.6490\\mathrm{i}$$-0.0703\\pm0.6453\\mathrm{i}$$-0.0703\\pm0.6453\\mathrm{i}$
4$-0.1161\\pm1.1606\\mathrm{i}$$-0.0574\\pm1.1575\\mathrm{i}$$-0.0576\\pm1.1550\\mathrm{i}$$-0.0576\\pm1.1550\\mathrm{i}$
5$-0.1161\\pm1.8134\\mathrm{i}$$-0.0505\\pm1.8124\\mathrm{i}$$-0.0505\\pm1.8113\\mathrm{i}$$-0.0505\\pm1.8113\\mathrm{i}$
"} {"image_path": "images/e4ccbb5aa99e08207912d79b2e6f68d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1.5 T3T
FSE T2SE T1FLAIRFSE T2GRE T1FLAIR
PlaneAxialAxialAxial AxialAxialAxial
Pulse sequence Fast spin echoSpin echoInversion recovery Fast spin echoGradient echoInversion recovery
Mode2D2D2D2D3D2D
Repetition time (ms) 2500-4500 300-7006000-11,0002500-450030 at longest6000-11,000
Inversion time (ms)--1800-2500-800 at longest1800-2500
Echo time (ms) 90-120Minimum-15100-18090-120Minimum100-180
Field of view (mm) 200-230200-230200-230200-230200-230200-230
Slice thickness/gap2-5/0-1.5 mm2-5/0-1.5 mm-1-5/0-1.5 mm 2-5 $mm^{*}$ -
Imaging matrix$256 \\times 192-256$$256-512 \\times 192-256$$ 192-256\\times 256 $$256-512 \\times 192-512$$256-512 \\times 192-512$$192-256 \\times 256$
No. excitations1-21-21-2111
"} {"image_path": "images/d4258b92cf891ea1b524275ad5526e54.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
城市90$ m^{2} $及以下90-144$ m^{2} $144$ m^{2} $以上
环比同比定基环比同比定基环比同比定基
上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100上月=100上年同月=1002020年=100
北京101.2106.9114.0101.3107.2114.1101.0107.9115.4
天津99.5100.499.799.999.798.599.599.997.9
石家庄99.995.595.399.495.393.199.396.494.6
太原99.093.992.599.595.994.599.896.692.9
呼和浩特99.997.296.799.597.297.799.796.696.5
沈阳99.999.1103.398.897.6101.598.498.4102.0
大连99.2101.4106.299.9101.0105.3100.0101.9105.3
长春100.099.297.7100.098.995.7100.099.897.3
哈尔滨99.395.693.899.395.293.199.195.892.7
上海100.6103.7111.8100.1105.1112.0100.4106.3111.9
南京99.999.8103.499.8100.8105.699.9100.6105.1
杭州100.3103.2109.1100.4104.1109.6100.2104.0109.7
宁波100.4100.0107.6100.1101.6107.9100.1101.5107.3
合肥99.499.7104.1100.099.2104.1100.099.8104.9
福州99.999.0103.399.3100.4103.299.999.8104.1
厦门100.399.4103.9100.0100.4104.2100.2100.6104.1
南昌100.499.399.9100.299.3100.0100.198.599.7
济南99.9100.399.0100.0100.799.499.4100.398.7
青岛100.1100.4100.1100.4100.3100.2100.2101.7101.1
郑州99.899.098.699.999.298.699.999.799.0
武汉99.799.0100.199.399.2101.699.299.1100.5
长沙99.6102.5105.5100.3102.6106.799.7103.8105.6
广州100.1103.3111.4100.5101.9111.4100.4103.4110.9
深圳99.596.5106.099.596.6105.1100.497.9104.1
南宁99.397.499.799.596.197.899.196.998.6
海口100.6107.1110.7100.7106.1110.2100.6107.1110.9
重庆99.8103.9105.5100.4103.3105.3100.3103.9105.7
成都100.9102.5107.9100.4104.3109.9100.2103.1109.6
贵阳98.695.894.699.697.195.398.696.895.7
昆明100.699.9102.9100.399.8102.5100.098.1102.6
安州100.2103.0107.2100.1102.9107.1100.0101.5106.4
兰州99.999.5103.599.898.0101.299.598.1100.0
西宁100.198.8105.2100.399.8104.0100.1100.0105.8
银川100.1100.2105.399.7100.0106.799.8101.0106.9
乌鲁木齐100.396.9101.5100.298.1100.9100.496.5100.5
"} {"image_path": "images/3c2c9feff007862951a08978015d810e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Year198319841985198619871988198919901991
Station 1- 1- 1.2- 2- 1.3- 1.3- 1.25- 2.3- 1.5- 1.4
Station 2- 1- 1.2- 2.750.9- 1.15 - 0.9- 1.2
Year199219931994before fracture 1994 after fracture
Station 1- 2- 2- 1.5- 1
Station 2- 2.3- 2.1- 2.2- 1.6
"} {"image_path": "images/b2f118ef60e59d0e92e3de2d7c5387bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Faulty Switches$E_a$$E_b$$E_c$$M_a$$M_b$$M_c$
T1PNNL
T2PNNH
T3NPNL
T4NPNH
T5NNP
T6NNPH
T1,T2D
T3,T4D
T5,T6D
T1,T3PPNLLH
T2,T4PPNHHL
T3,T5PNPLHL
T4,T6PNPHLH
T1,T5NPPHLL
T2,T6NPPLHH
"} {"image_path": "images/ac77b761c1a90840d50923c7768a3395.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Expected TotalForecasting PowerExplanatoryVariableExpected MarginalForecasting PowerShrinkage Factorby MonthsinEstimationPeriod
244860120
0.5%10.25%0.05660.10710.13040.2308
20.130.02910.05660.06980.1304
30.080.01960.03850.04760.0909
40.040.00990.01960.02440.0476
2.0%11.000.19350.32430.37500.5455
20.500.10710.19350.23080.3750
30.330.07410.13790.16670.2857
40.170.03850.07410.09090.1667
5.0%12.500.37500.54550.60000.7500
21.250.23080.37500.42860.6000
30.830.16670.28570.33330.5000
40.420.09090.16670.20000.3333
"} {"image_path": "images/b54a12f13f0a4224f66a4b0ded2c4f0d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FactordfMSFp
Shrimps: between plots
Tidal flat (TF)21.0934.0680.076
Error60.269
Shrimps: within plots
Distance (D)51.8181.2090.329
$D \\times TF$101.9281.2820.284
Error301.504
Size (Si)14.6378.4890.027
$Si \\times TF $20.5430.9930.424
Error60.546
$D \\times Si$511.49420.570<0.001
$D \\times Si \\times TF$100.5060.9060.540
Error300.559
Infauna: between plots
Tidal flat (TF)210.93012.1770.008
Error60.898
Infauna: within plots
Distance (D)58.4496.530<0.001
$D \\times TF$101.4991.1580.355
Error301.294
"} {"image_path": "images/6032e59e91f89fab7e5bfd98530e1097.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HamiltonDowWood and Hetzel$PC \\times T_{a50p~c}$PC $\\times T_{50}$
Mean478.3341.4208.5123.6296.7
S.D.504.2495.6511.6492.8431.6
$\\mathrm{A}_{\\mathrm{x}}=\\mathrm{a}+\\mathrm{bA}_{\\mathrm{H}}$
a124.963.619.0-1.94
b0.5640.3030.2190.854
r0.7540.8400.9280.998
S.E.E.±206.0±98.5±44.2±27.2
"} {"image_path": "images/5a68f12cce0f84d24a682ff2e9cdbad2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Energy ratio5 kW, 180 A3 kW, 90 A5 kW, 90 A
$D_{LA},\\ mm$23123123
$ \\psi ,\\%$8·76·0171481223·014
$\\lambda, \\%$3·01·71·1
$\\eta ,\\%$34·5501012·121·59·24·87·9
$\\theta ,\\%$63·5509087·978·590·895·292·1
"} {"image_path": "images/e47d2acb037978721a87db213c5bf5dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EquationFor$E_{max}$$E_{avg}$Beyond $\\pm$ 15%
21Sauter mean diameter at the upper sampling location21.77.55/27
22Sauter mean diameter at the lower sampling location29.08.86/27
23Average Sauter mean diameter27.68.510/54
25Local holdup at the upper sampling location8.92.40/27
26Local holdup at the lower sampling location11.12.70/27
27Vessel average holdup6.22.00/27
28Relationship between Sauter mean diameter and $d_{max}$22.27.33/54
30Variance of the log-normal drop size distributions39.69.39/54
31Mean of the log-normal drop size distributions5.31.90/54
"} {"image_path": "images/0fdc4dde146c71ebdb4d9ab8a7d1f2bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mu·10^4$$c_2·10^3$$c_1·10^7$$c_0·10^5$
0.51.88-1232.31
1.01.86-1162.37
1.51.84-1082.46
2.01.83-98.62.58
2.51.84-86.82.78
3.01.88-71.23.12
3.51.98-47.73.72
4.02.21-9.864.87
4.52.6953.77.12
"} {"image_path": "images/13da4772251321ec899b5a17c567a66d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号单词音标/词频词义拓展例句
721budget/ˈbʌdʒɪt/n. 预算, 财政收支状况, 预算费v. 安排开支; 编制预算tight budget 紧张的预算Good Morning Britain's Susanna Reid is used to grilling guests onthe sofa every morning, but she is cooking up a storm in her latestrole — showing families how to prepare delicious and nutritiousmeals on a tight budget. 【2018 年全国卷 I 阅读 B】
5
722secure/sɪˈkjuə(r)/v. 保护adj. 安全的记忆 : care 关心, cure 治愈 , secure安全的。security n. 安全One crucial factor is secure access to land. Competition frominvestors, developers, and established large farmers makes owningone's own land unattainable for many new farmers. 【2018 年江苏卷阅读 C】
5
723worldwide/,w3:ld'waɪd/adj. 全世界的adv. 在世界各地记忆:world 世界的,wide 宽的。In 1963 the UN set up the World Food Programme, one of whosepurposes is to relieve worldwide starvation. 【2017 年江苏卷单项填空】
5
724statistics/stə'tɪstɪks/n. 统计;统计学collect statistics 收集数据according to statistics 根据统计Only at dinnertime are we eating together anymore, 74 percent,according to statistics from the report. 【2019 年全国卷 II 阅读 C】
5
725monitor/ˈmonɪtə(r)/n. 监控器; 显示屏; 班长v. 监控记忆:“摸你头”,不好好学习,班长就要从后面摸你头!。According to the analysis of Babbitt's team, old desktop monitorsand box TVs with cathode ray tubes are the worst devices with theirenergy consumption and contribution to greenhouse gas emissions(排放) more than doubling during the 1992 to 2007 window. 【2018年全国卷 I 阅读 D】
5
726adequate/'ædɪkwət/adj. 充足的; 充分的adequacy n. 适当,足够They were not provided with adequate equipment. 【2018 年江苏卷阅读 D】
5
727custom/ 'kʌstəm/n. 习惯,惯例;风俗accustom v. 使习惯于costume n. 装束,服装These include custom-made navigation (导航) tools, night visionsystems and intelligent speed adaptations. 【2017 年全国卷 III 阅读D】
5
"} {"image_path": "images/4f874d42c0a279ddb607c5174eeaff47.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SolventTemperature(°C)aK' ( × $10^4$)(dl $g^{-1}$)
CF300.626.34
350.607.19
400.607.40
450.597.87
CF:DCE(70:30 v/v)300.616.71
350.598.17
400.598.24
450.588.91
CF:dioxane(80:20 v/v)300.4629.00
350.4823.20
400.4920.60
450.5017.10
CF:dioxane(70:30 v/v)300.3773.50
350.3859.70
400.3955.50
450.4046.20
CF:n-butanol(90:10 v/v)300.588.30
"} {"image_path": "images/adcdaba9773e22dc27cfe869b9b8b0ce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
D-maximin designUniform design
$D_{11}$$D_{22}$$D_{33}$$D_{44}$$D_{11}$$D_{22}$$D_{33}$$D_{44}$
Asymptotic3.478.110.0000282.274.2711.560.0000312.46
Finite3.588.430.0000392.664.7111.990.0000382.91
"} {"image_path": "images/dc6318660eafae2609820d5c7d2c5686.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ChannelSubsystem$l$s$j^{\\pi}$$\\tau$KL
1$^1S_0$00$0^+$1$\\frac{1}{2}$0
2$^3S_1$01$1^+$0$\\frac{1}{2}$0
3$^3S_1$01$1^+$0$\\frac{3}{2}$2
4$^3d_1$21$1^+$0$\\frac{1}{2}$0
5$^3d_1$21$1^+$0$\\frac{3}{2}$2
6$^3p_0$11$0^-$1$\\frac{1}{2}$1
7$^1p_1$10$1^-$0$\\frac{1}{2}$1
8$^1p_1$10$1^-$0$\\frac{3}{2}$1
9$^3p_1$11$1^-$1$\\frac{1}{2}$1
10$^3p_1$11$1^-$1$\\frac{3}{2}$1
11$^1d_2$20$2^+$1$\\frac{3}{2}$2
12$^1d_2$20$2^+$1$\\frac{5}{2}$2
13$^3d_2$21$2^+$0$\\frac{3}{2}$2
14$^3d_2$21$2^+$0$\\frac{5}{2}$2
15$^3p_2$11$2^-$1$\\frac{3}{2}$1
16$^3p_2$11$2^-$1$\\frac{5}{2}$3
17$^3f_2$31$2^-$1$\\frac{3}{2}$1
18$^3f_2$31$2^-$1$\\frac{5}{2}$3
"} {"image_path": "images/d853cf6d8f41bf1b8af54fb48c80e037.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$signal^a$$K_f$, $M^{-1}$mole fract$\\delta_{\\mathrm{m}}^b$$\\delta_{\\mathrm{d}}^c$
I-e66 $(±2)^d$0.481986 (±3)3457 (±15)
I-i5 (5)0.481940 (1)3041 (648)
II-e51 (1)0.271938 (2)3365 (14)
III-i6 (5)0.181885 (5)2765 (699)
IV0.08
$total^e$49 (5)0.99
"} {"image_path": "images/ae2b18b5ab3c37ab5d2fc8f6e07d570a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
P, GPaT, K1·$10^{-4}$1251020
298.15251.96256.162260.362272.962293.962335.962
500245.92250.115254.315266.915287.915329.915
1000228.93233.132237.332249.932270.932312.932
1500209.67213.865218.065230.665251.665293.665
2000189.10193.298197.498210.098231.098273.098
"} {"image_path": "images/f592e08665392c556966bcb5c1a82fb8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NameDescription
MINeleMinimum elevation within 40 km buffers
MAXeleMaximum elevation within 40 km buffers
RANGEeleRange of elevation within 40 km buffers
MEANeleMean elevation within 40 km buffers
STDeleStandard deviation of elevation within 40 km buffers
SUMeleSum of all elevation within 40 km buffers
MEDINeleMedian elevation within 40 km buffers
MAXslpMaximum slope within 40 km buffers
MEANslpMean slope within 40 km buffers
RANGEslpRange of slope within 40 km buffers
STDslpStandard deviation of slope within 40 km buffers
SUMslpSum of slope within 40 km buffers
MEANhshdMean lighting condition within 40 km buffers
min_hMinimum relative relief within 40 km buffers
max_hMaximum relative relief within 40 km buffers
mean_hMean relative relief within 40 km buffers
std_hStandard deviation of relative relief within 40 km buff-ers
nl_aspArea percent of north-facing slopes within 40 km buff-ers
ne2_aspArea percent of northeast-facing slopes within 40 kmbuffers
e3_aspArea percent of east-facing slopes within 40 km buffers
se4_aspArea percent of southeast-facing slopes within 40 kmbuffers
s5_aspArea percent of south-facing slopes within 40 km buff-ers
sw6_aspArea percent of southwest-facing slopes within 40kmbuffers
w7_aspArea percent of west-facing slopes within 40 km buffers
nw8_aspArea percent of northwest-facing slopes within 40 kmbuffers
"} {"image_path": "images/52ca1f674b07480193edda532a37fd25.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Caseno.EyeUltrasonographicallymeasured antero-posterior diameter(to nearest 0.5 mm.)Total dioptricpower calculatedfrom formulaCorneal curvatureRefractiveerror
mm.diopters
IR22.0+60.507.45+42.25+18.25
L22.0+60.507.45+42.25+18.25
2R21.0+63.507.84+43.00+20.50
3R22.0+60.507.89+42.75+17.75
4R20.5+65.007.50+45.00+20.00
L20.0+66.757.58+44.50+22.25
5R22.0+60.506.36+53.00+7.50
6R20.0+66.757.71+43.75+23.00
L20.0+66.757.71+43.75+23.00
7R22.0+60.507.29+46.25+14.25
L22.0+60.507.33+46.00+14.50
"} {"image_path": "images/bc8b40472cc679a4704a10a189fee298.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model Termdf$x^2$ Partialp valueIterations
Technology position × Planning mode ×Process change614.533.0242*5
Technology position × Planning mode × IT change613.505.0357*5
Planning mode × Process change × IT change99.689.376310
Technology position × Process change × IT change1818.224.441012
Technology position × Planning mode24.520.10447
Planning mode × Process change320.047.00025
Technology position × Process change630.056.00007
Planning × IT change38.017.04575
Technology position × IT change613.090.04167
Process change × IT change958.140.0000*5
Planning mode16.076.01372
Technology position2.818.66442
Process change342.049.00002
IT change358.124.00002
"} {"image_path": "images/260cb165e9600770c8130270ec15f310.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
[HOCl]/mol $dm^{-3}$pH$k_{ac}/dm^3$$mol^{-1}s^{-1}$$10^5\\left[MnMo_9O_{32}{}^{6-}\\right]_i /$mol $dm^{-3}$$k'_{~ac}/$$dm^6~mol^{-2}~s^{-1}$
0.005 4.490.17(1)18.575.3
5.362.2(1)4.5440
0.0104.490.41(2)12.081.8
5.364.7(2)3.9470
0.0204.490.88(4)9.679.1
5.368.8(4)3.3440
0.0304.491.39(6)8.978.4
5.3614.6(8)2.1487
0.0404.491.96(9)6.879.4
"} {"image_path": "images/5bda4d592f2d3b10550c3c177afc98eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Doehlert designExperiment$ 10^5\\times[\\text{Quinizarin}]$$-\\log [\\mathrm{NaOH}]$Absorbance
(I)11.01.670.075
21.02.330.129
32.01.330.80
42.02.0001.46
52.02.670.281
63.01.670.170
73.02.330.376
(II)82.03.330.423
93.03.000.415
103.03.670.276
114.02.670.446
124.03.330.622
(III)134.04.000.179
145.03.000.490
155.03.670.031
"} {"image_path": "images/5201c7ebe79e8910a8a9df4510a5dfc1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
InsectsDayWeightF ValuePr
WS3A57B3
DutchDay 30.324 a0.348 a0.368 a0.890.4191
PlutellaDay 76.623 a6.420 a6.407 a0.050.9510
ChineseDay 30.288 a0.387 a0.311 a2.780.072
PlutellaDay 75.495 a5.253 a5.219 a0.070.9335
"} {"image_path": "images/161ba90c9c1221bf3dbb052aec993bae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CharacteristicsN%Worker-months
$Occupationa^{a}$
Science or art professionals26817.09478.6
Middle level technicians81451.640435.8
Administrative workers40225.514929.3
Other workers955.94170.1
Employee's working hours
20-39hours59237.521303.3
≥40 hours98762.547710.5
Employment relation
Civil servant47330.028547.5
Outsourced110670.040466.3
Type of work
Medical assistance84653.639946.4
Supporting60238.123602.7
Infrastructure1318.35464.7
"} {"image_path": "images/366302027d8b4b5634ea399d4b367c30.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Number ofsegmentsChannel shape$t_{c}$
System 1System 2
1All1.0001.000
2Deep rectangular1.0001.115
Circular1.0001.085
Square, triangular, vertical curb1.0001.078
Parabolic1.0001.070
Wide rectangular1.0001.058
3Deep rectangular1.0001.147
Circular1.0001.103
Square, triangular, vertical curb1.0001.094
Parabolic1.0001.083
Wide rectangular1.0001.068
$\\infty$Deep rectangular1.0001.414
Circular1.0001.320
Square, triangular, vertical curb1.0001.297
Parabolic1.0001.271
Wide rectangular1.0001.231
"} {"image_path": "images/813a4a166c0f532d7a3dabc2fbdda3bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Estimator$(true ~\\beta=0.001)^a$Right heavierLeft heavierSymmetric
MeanSE$(\\times10^{-3})$RMSE$(\\times10^{-3})$MeanSE$(\\times10^{-3})$RMSE$(\\times10^{-3})$MeanSE$(\\times10^{-3})$RMSE$(\\times10^{-3})$
$\\beta_{U1-}$0.001020.58990.59020.001391.13401.20610.000830.70860.7292
$\\beta_{U2-}$0.000840.51790.54080.001201.11911.13750.000490.62360.8063
$\\beta_{B2}$0.001020.47440.47490.000900.53250.54170.000980.51420.5145
$\\beta_{B4}$0.000950.40550.40910.000940.42010.42470.000990.41090.4110
$\\beta_{U1+}$0.000960.59330.59490.000601.11441.21190.001230.69180.7302
$\\beta_{U2+}$0.001130.55430.56930.000910.90130.90570.001610.69500.9254
"} {"image_path": "images/47fa7cbd3ffc2331c883ab0d5d436149.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
英 文中 文
Test Infrastructure测试基础框架、体系
Test Artifact测试产物
Mock Object模拟对象
Fake Object虚假对象
Google谷歌
Googler谷歌员工
Noogler谷歌新员工
Test Certified测试认证
Key Result (OKR)绩效
TGIF感谢上帝今天已是星期五(Thank God it's Friday),谷歌早期的周五公司例会
Dogfood狗食,内部试用
Developer开发人员、开发者、开发
Tester测试人员、测试者、测试
Exploratory Testing探索式测试
ACC特质、组件、能力 (一种把系统划分为逻辑相关子模块的方法)
Browser Integrated Test Environment浏览器集成测试环境
HUD平视显示器
Test Case/Test测试用例
Bug Triage三方 Bug 讨论 (PM,DEV,Test)
Google Test Analytics谷歌测试分析系统
Google Test Case Manager (GTCM)谷歌测试用例管理系统
User-Developer用户开发者
Free Testing Workflow零成本测试流程
Pirate Leadership海盗领导力
Maintenance Mode Testing维护模式的测试
Shipping Early and Often, and Failing Fast尽早交付、经常交付、尽快失败
Quality Bots质量机器人
"} {"image_path": "images/54c8e897fc3dcc272d4d868e56e09497.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ValueLDASVM100 CT
Prediction Accuracy (%)65.0864.4966.62
# of Predictions > Naive263251282
% of Predictions > Naive91.6487.4698.26
$\\bar{P}_I$ (%)10.7010.1112.24
$\\bar{P}_B$ (%)13.2612.3812.52
$\\bar{P}_W$ (%)- 9.08- 5.40- 1.15
Range of Committee (%)1.523.022.22
Time (s)22.752.383.872.05
"} {"image_path": "images/ec2ec396f6b1bc334f52817796d4ec0d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Characteristics$\\text{Frequency (n=2555)}$Percent
Residence
Urban1646.4
Rural239193.6
Age
<241787.0
25-3490335.3
35+147457.7
Marital Status
Married218485.5
$Other^a$37114.5
Educational Level
No education213183.4
Primary and Above42416.6
Wealth Index
Poor125449.1
Middle75229.4
Rich54921.5
Age at First Birth
Below 18185972.8
Above 1869627.2
Family Size
Below 5107242.0
Above 5148358.0
Birth Order Number
First60423.6
Second51020.0
Third and Above144156.4
"} {"image_path": "images/8d6f2e15fa35b659e08f1bd951579a3b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelModel Height (m)K$_z$GC$_{pi~eq}$
Open Terrain ExposureSuburban exposureOpen Terrain ExposureSuburban exposure
Partially EnclosedEnclosedPartially EnclosedEnclosed
NIST Model 112.21.040.76±1.24-±1.71-
NIST Model 24.90.860.58±1.42-±2.48-
WOW Model3.660.85-±1.56±0.51--
"} {"image_path": "images/3dc7ec81b032656b949a7b90cbd7cdc1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Livestock speciesNumber in
20132014
Oxen
Cows
Bulls
Heifers
Calves
Sheep
Goats
Horses
Mule
Donkeys
Chicken(Poultry)
Others
"} {"image_path": "images/eb3baa036c545d5806c778b2cbdc709f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
##
25632564256525662567
# 12020202020
# 2-15151515
# 3--151515
# 4---1515
#2035506565
# ---1515
"} {"image_path": "images/8b610c9ca25116b51d7b59993ec4254c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$[U(dmso)_9](ClO_4)_4\\cdot4dmso(2)$
Bond distances $\\mathring{A}$
U1-O12.396(7)U1-O22.390(6)
U1-O32.376(9)U1-O42.391(8)
U1-O52.388(7)U1-O62.375(7)
U1-O72.458(8)U1-O82.470(8)
U1-O92.451(6)
S1-O11.544(5)S2-O21.541(5)
S3-O31.543(6)S4-O41.545(4)
S5-O51.543(6)S6-O61.542(5)
S7-O71.541(6)S8-O81.540(4)
S9-O91.547(6)
Bond angles (°)
O1-U1-O277.1(3)O1-U1-O374.4(3)
O2-U1-O375.4(3)O4-U1-O575.8(3)
O4-U1-O676.2(3)O5-U1-O676.9(3)
O7-U1-O8121.7(2)O7-U1-O9119.2(3)
O8-U1-O9119.0(2)
"} {"image_path": "images/f09b1aac9cd8520304ff588a1d393e7c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VARIABLES
$x_{1}$$x_{2}$$x_{3}$$x_{4}$# of tests
±1±1004
±10±104
±100±14
0±1±104
0±10±14
00±1±14
00003
Total # of runs: 27
"} {"image_path": "images/40d5d0a59761d56c2ef8bf186c8f61f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Structural instabilitiesp-value
2008M07,2010M030.01*
"} {"image_path": "images/431140d868f395af43dab34ec729c2f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleTreatmentFe wt.$\\%$ (XRF)EFW iron extracted in wt.$\\%$Fe wt.$\\%$ (EPR)
F1 (FW)F2 (EFW)F3 (EFW)
400AS2.32__1.370.920.03
402$Calcined +SO_{2}$2.080.241.360.680.03
405$Repeated \\ SO_{2}$1.990.321.360.600.03
"} {"image_path": "images/0488975b089c58c007976bec398c3b47.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Distribution strategySmall firmsMedium firmsSMEs
a. v.%a. v.%a. v.%
Exporting
Agreements11010.229715.7220712.23
Local Traders534.93548.751076.32
FDIs686.327411.991428.39
Exporting in EU25
Agreements959.498514.7118011.40
Local Traders444.40447.61885.57
FDIs585.79508.651086.84
Exporting in Non-EU25
Agreements399.683712.467610.86
Local Traders204.96237.74436.14
FDIs266.453511.78618.71
"} {"image_path": "images/61639abe04a895cb386f1703e01b6a17.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SamplesSurface composition (at%)
CNOMo/S
Before irradiation75.34.420.30.55
10 min of proton78.95.415.61.10
10 min of electron76.35.118.60.75
10 min of combined78.27.214.61.07
"} {"image_path": "images/44356fb13829eb24cec4e56a61679c60.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Number of sample
66a77a
Sum of TCDD643.622.38938.3815.39
Sum of PeCDD1062.184.531340.0947.03
Sum of HxCDD1879.9810.182763.6682.20
Sum of HpCDD2079.4615.975120.76198.69
OCDD5156.6464.485963.09292.33
Total PCDD10821.8897.5316125.98635.65
2,3,7,8-TCDD31.030.0538.780.15
1,2,3,7,8-PeCDD93.120.24118.921.58
1,2,3,4,7,8-HxCDD102.680.40138.923.89
1,2,3,6,7,8-HxCDD178.890.73248.906.33
1,2,3,7,8,9-HxCDD166.220.32273.651.90
1,2,3,4,6,7,8-HpCDD1198.737.702935.0287.61
Sum of TCDF608.923.73916.2417.71
Sum of PeCDF816.645.401055.0262.66
Sum of HxCDF1163.6210.011698.2890.22
Sum of HpCDF818.628.191277.1178.53
OCDF330.133.48388.4218.27
Total PCDF3737.0930.815335.07267.39
2,3,7,8-TCDF21.500.0530.330.03
1,2,3,7,8/1,2,3,4,8-PeCDF72.180.2690.922.60
2,3,4,7,8-PeCDF65.640.2487.941.72
1,2,3,4,7,8/1,2,3,4,7,9-HxCDF128.270.60155.765.30
1,2,3,6,7,8-HxCDF131.030.66171.795.17
1,2,3,7,8,9-HxCDF8.800.1312.530.02
2,3,4,6,7,8-HxCDF160.051.10221.887.82
1,2,3,4,6,7,8-HpCDF553.926.97838.3060.68
1,2,3,4,7,8,9-HpCDF59.410.1597.822.37
Total PCDD/F14558.97128.3421461.05903.04
I-TEQ227.370.91317.206.79
"} {"image_path": "images/a6881f9106135e5e2e3efe766d552074.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Volumeratio ofDMDEOSRaw materialcompositionCP-MAS NMRSingle pulse MAS NMR
FormulaFormulam
0.250$\\text{Si(OC}_2\\text{H}_5\\text{)}_{3.39}\\text{(CH}_3\\text{)}_{0.61}$$\\text{SiO}_{1.47}\\text{(OH)}_{0.06}\\text{(CH}_3\\text{)}_{1.01}$$\\text{SiO}_{1.66}\\text{(OH)}_{0.16}\\text{(CH}_3\\text{)}_{0.51}$$2.50_0$
0.200$\\text{Si(OC}_2\\text{H}_5\\text{)}_{3.50}\\text{(CH}_3\\text{)}_{0.49}$$\\text{SiO}_{1.47}\\text{(OH)}_{0.10}\\text{(CH}_3\\text{)}_{1.95}$$\\text{SiO}_{1.70}\\text{(OH)}_{0.18}\\text{(CH}_3\\text{)}_{0.42}$$2.51_9$
0.167$\\text{Si(OC}_2\\text{H}_5\\text{)}_{3.58}\\text{(CH}_3\\text{)}_{0.42}$$\\text{SiO}_{1.49}\\text{(OH)}_{0.16}\\text{(CH}_3\\text{)}_{1.86}$$\\text{SiO}_{1.73}\\text{(OH)}_{0.18}\\text{(CH}_3\\text{)}_{0.35}$$2.53_8$
0.125$\\text{Si(OC}_2\\text{H}_5\\text{)}_{3.68}\\text{(CH}_3\\text{)}_{0.32}$$\\text{SiO}_{1.51}\\text{(OH)}_{0.31}\\text{(CH}_3\\text{)}_{1.67}$$\\text{SiO}_{1.69}\\text{(OH)}_{0.36}\\text{(CH}_3\\text{)}_{0.25}$$2.51_7$
0.063$\\text{Si(OC}_2\\text{H}_5\\text{)}_{3.84}\\text{(CH}_3\\text{)}_{0.16}$$\\text{SiO}_{1.62}\\text{(OH)}_{0.37}\\text{(CH}_3\\text{)}_{0.39}$$\\text{SiO}_{1.69}\\text{(OH)}_{0.48}\\text{(CH}_3\\text{)}_{0.15}$$2.50_9$
"} {"image_path": "images/b0184436c7f86b26f1e9c6f7838c66a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
硫 化 温 度( ℃ ) 〔 B 〕max( 克 分 子 / 公 斤 R H )表观〔 A 〕。( 克 分 子 / 公 斤 R H )$\\mathrm{k}_{2} \\mathrm{tmax}$
估 计观 测
1400 . 04400 . 04460 . 0127
1600 . 04060 . 04090 . 0930 . 0127
1800 . 03420 . 03520 . 2650 . 0282
2000 . 03060 . 03150 . 3770 . 0260
"} {"image_path": "images/894f7c3746253e2007190c2b740fee2a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
评价指标指标名称单项评分指标权数单项指标分析系数指标类权数指标类分析系数综合评分
盈利能力净资产收益率024.61042.310.240.43
总资产报酬率7.5113.070.57
成本费用利润率2.704.630.58
偿债能力速动比率1.132.170.5222.740.59
资产负债率8.3310.610.79
现金流动负债比率1.563.640.43
已获利息倍数2.416.310.38
营运能力应收账款周转率10.9810.981.0022.740.71
总资产周转率3.316.180.54
存货周转率0.973.570.27
资产现金回收率0.862.010.43
发展能力营业收入增长率2.064.890.4212.210.28
总资产增长率1.382.440.57
资本保值增值率0.004.890.00
"} {"image_path": "images/9119cfe7a71693060d48093b40fc0ec4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GenusAnticancer strains (%)
T. maireiT. grandisC. fortunei
Total21(100)3(100)1(100)
Pacilomyces sp.5(23.8)2(66.7)0
Cephalosporium sp.6(28.6)00
Mortierella sp.1(4.8)00
Mucor sp.2(9.5)00
Trichoderma sp.1(4.8)00
Cladosporium sp.1(4.8)00
Unidentified strains5(23.8)1(33.3)1(100)
"} {"image_path": "images/ec4bedd5a6367424e838a29d01c12208.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\phi.$W.$\\Delta W.$$\\kappa_{\\text {II }} / \\kappa_{\\text {I }}$.E.$\\Delta E.$S.$S^{\\prime}.$$\\Delta S^{\\prime}.$$S^{\\prime} - S.$
$45^{\\circ}$$Q^{\\prime} - 79,784$8551.063— 81,552481,7681,861900— 93
$50^{\\circ}$$Q^{\\prime} - 80,259$3801·041— 81,579211,3201,361400— 41
$55^{\\circ}$$Q^{\\prime} - 80,543$961.020— 81,59551,0521,061100一 9
$60^{\\circ}$$Q^{\\prime} - 80,639$01.000— 81,600096196100
65$^{\\circ}$$Q^{\\prime} - 80,543$960.980— 81,595510521061100— 9
70$^{\\circ}$$Q^{\\prime} - 80,259$3800.960— 81,579211,3201,361400— 41
$75^{\\circ}$$Q^{\\prime} - 79,784$8550.941— 81,552481,7681,861900— 93
"} {"image_path": "images/c5fcfd6b0624f3a92c7b11a7a68f3ecc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ad0-26.855.533.962.404.44
A12-104.723.762.681.613.11
A1A212-203.002.451.771.081.92
A225-351.801.481.070.651.15
B70-809.317.435.293.196.12
Ordinary chernozem
Ad1-715.2712.478.975.479.81
A120-3017.4413.689.675.7811.66
B150-6013.2210.747.714.698.53
B285-9511.099.136.594.037.07
B3130-14010.748.816.363.886.85
Chestnut soil
A5-1510.168.045.713.436.74
B121-3111.839.376.654.007.83
B235-459.597.725.523.346.25
C155-658.917.485.443.365.55
C3172-1829.307.815.683.515.80
Medium-columnar solenetz
A0-107.566.004.27| 2.575.00
B115-2514.4611.518.194.939.52
B230-4010.098.466.163.806.29
C150-608.086.524.672.835.24
C3172-1829.157.535.443.335.82
"} {"image_path": "images/26f2c45966a17e74516b9fb35caa8d18.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Common problemZhu'sIWD
No. of agents10014
No. of iterations10,0002000
No. of computations5050
PSO parameters
Inertia weight0.0,0.5,1.0NA
Cognitive componentNot availableNA
Social componentNot availableNA
RR1NA
IWD parameters
No. of dropsNA14
No. of citiesNA14
Initial velocityNA100
Initial soilNA10,000
"} {"image_path": "images/067f8ef5dd03b1b18efc0d23551b7220.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Landsat 5Landsat 8
Band name Bandwidth $\\mathrm{(\\mu m)}$Resolution (m)Band name Bandwidth $\\mathrm{(\\mu m)}$Resolution (m)
Band 1 coastal0.43-0.4530
Band 1 blue 0.45-0.5230 Band 2 blue0.45-0.5230
Band 2 green 0.52-0.6030 Band 3 green0.53-0.6030
Band 3 red 0.63-0.6930 Band 4 red0.63-0.6830
Band 4 NIR 0.76-0.9030 Band 5 NIR0.85-0.8930
Band 5 SWIR 1 1.55-1.7530Band 6 SWIR 11.56-1.6530
Band 7 SWIR 22.08-2.3530 Band 7 SWIR 22.10-2.30 30
Band 8 pan 0.50-0.68 15
Band 9 cirrus1.36-1.3930
Band 6 TIR 10.40-12.50120Band 10 TIRS 1 10.6-11.19 100
Band 11 TIRS 211.5-12.51100
"} {"image_path": "images/2d46c3bffe4d2bef5513addd601a16ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Wavelength(nm)$\\delta_{k\\text{-air}}(\\text{STP})$$(\\text{Mm}^{-1})$$\\delta\\sigma_{k\\text{-air}}(\\text{STP})$$(\\text{Mm}^{-1})$$\\sigma_{k{-CO_2}}(\\text{STP})$$(\\text{Mm}^{-1})$$\\delta\\sigma_{k{-CO_2}}(\\text{STP})$$(\\text{Mm}^{-1})$
B91**This workThis workB91This workThis work
45027.8927.61±0.24%72.7971.83±0.90%
55012.2612.125±0.24%31.9931.40±0.90%
7004.6054.549±0.24%12.0111.74±0.90%
"} {"image_path": "images/43c2d88f14909ead05f9b8453fb18af3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
管道工 188.294.7101.8102.689.395.7
78.280.183.986.189.471.4
92.485.387.594.692.784.6
管道工 2105.8117.6119.5126.8108.2114.7
90.295.6110.1115.3109.6112.4
104.6107.2109.7102.999.1115.5
"} {"image_path": "images/f4a5928b20fd1a0bcc0397fa059e6054.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\rho$(mohm-cm)$\\left(\\frac{R^{\\mathrm{H}}}{R^{\\mathrm{D}}}\\right)_{2314}$$\\left(\\frac{R^{\\mathrm{H}}}{R^{\\mathrm{D}}}\\right)_{2413}$$\\left(\\frac{R_{2314}}{R_{2413}}\\right)^{\\mathrm{H}}$$\\left(\\frac{R_{2314}}{R_{2413}}\\right)^{\\mathrm{D}}$
93700.2350.2471.4451.521
8320.2710.2631.4911.448
1020.2160.2131.4391.445
7.790.2320.2311.4401.437
2.90.2220.2191.4881.471
"} {"image_path": "images/20bb84366a564b0061795513b380dfdb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
情 况角 度公 式
1三 边abc$ \\cos a=\\cos b\\cdot\\cos c $
2二角一边BCa$\\cos a=\\operatorname{ctg} B \\cdot \\operatorname{ctg} C$
b$\\cos B=\\sin C \\cdot \\cos b$
c$ \\cos C=\\sin B\\cdot\\cos C $
3一角二边Bab$\\sin b=\\sin a \\cdot \\sin B$
c$\\cos B=\\operatorname{ctg} a \\cdot \\operatorname{tg} c$
b$\\sin c=\\operatorname{tg} b \\cdot \\operatorname{ctg} B$
Cab$\\cos C=\\operatorname{ctg} a \\cdot \\operatorname{tg} b$
c$\\sin c=\\sin a \\cdot \\sin C$
b$\\sin b-\\operatorname{tg} c \\cdot \\operatorname{ctg} C$
"} {"image_path": "images/1f1461572d1d60f58b3a8d3e54af4e07.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Vehicles$J_s~(\\mu~g/cm^2/h)$$T_L$ (h)
Ethanol1.09 ± 0.471.97 ± 0.22
PG0.07 ± 0.053.38 ± 0.23
PGL2.01 ± 0.476.32 ± 0.87
DGME0.86 ± 0.195.96 ± 0.63
PGML9.60 ± 3.8711.08 ± 1.96
PGMC17.25 ± 1.964.16 ± 0.77
LBF 26091.42 ± 0.3410.87 ± 2.36
LBS0.02 ± 0.01NA
"} {"image_path": "images/aa8460e6b5a60e15938cfa13c5353a9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Parameter
Fe (mg/L)Dissolved $O_2$ (mg/L)pH$Alkalinity^a$ (mg/L)$Hardness^a$ (mg/L)Conductivity ($\\mu$S/cm)
Phase 1 samples
B-$Control^b$1.44.96.4114595277
B-1800.86.637938262
B-26.13.16.2510870238
Phase 2 samples
B-Control1.24.76.75142114279
B-1511.66.792656178
B-22.43.76.468778183
"} {"image_path": "images/9a449f13e2b59b1697c01c4f02b725db.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n$A_3$$A_4$$w_0$$B_0$$w_1$$B_1$$w_2$$B_2$$w_3$$B_3$$w_4$$B_4$
700648 255564 572723 556480800
95119 709256146 65724055 18827255 1882244 599288511
110180 13610242368 379992900 6801056835 17696045 034108845 034
"} {"image_path": "images/2ff7607421babec4374ccb870aa7a8d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品总数量样品抽验数量AQL 2.5AQL 4.0AQL 6.5
Lot SizeSample SizeAcReAcReAcRe
1~82010101
9~152010101
16~253010101
26~505010112
51~905010112
91~1508010212
151~28013121223
281~50020121334
501~120032232456
1201~320050353678
3201~100008057581011
10001~350001257107111415
35001~150000200101110152122
150001 ~ 500000315141514222122
500001以上500212221222122
"} {"image_path": "images/ce5d431843148ba12df7f0b20930793e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\beta ^+=10$$\\beta^{+}=1000$
hsolution errorrategradient errorratesolution errorrategradient errorrate
1/8$ 2.85\\times 10^{-3} $$ 2.45\\times 10^{-2} $$ 3.28\\times 10^{-3} $$ 2.90\\times 10^{-2} $
1/16$ 5.78\\times 10^{-4} $2.30$4.63 \\times 10^{-3}$2.40$6.62 \\times 10^{-4}$2.31 $5.42\\times 10^{-3}$ 2.42
1/32$ 9.94\\times 10^{-5} $2.54$6.81 \\times 10^{-4}$2.76$1.12 \\times 10^{-4}$2.57$8.09 \\times 10^{-4}$2.74
1/64$ 1.69\\times 10^{-5} $2.56$9.71 \\times 10^{-5}$2.81$ 1.83\\times 10^{-5} $2.61$1.14 \\times 10^{-4}$2.83
"} {"image_path": "images/de5bf0d218ca5aae376b4022ae512a28.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Limit Order Sizes($ΔDEPTHVOL_t$)Number of Limit Orders($ΔDEPTHORD_t$)
$β_1$$β_2$$\\gamma _1$$\\gamma _2$
Whole Period109.880-0.01022.830$0.005^{**}$
(78.726)(0.057)(36.553)(0.003)
200250.047$-0.070^{***}$-40.164$0.003^{***}$
(32.274)(0.012)(31.984)(0.001)
2003116.205$0.194^{***}$30.953$0.035^{***}$
(95.887)(0.051)(40.313)(0.002)
BB1
Bearl$-26.281^*$$0.177^{**}$$-31.372^{***}$$0.034^{***}$
(14.709)(0.074)(3.404)(0.002)
Bulll$84.831^{***}$-0.03619.006$0.003^{***}$
(32.985)(0.042)(12.374)(0.002)
BB2
Bear2$-33.564^{***}$$0.221^{***}$$-30.748^{***}$$0.034^{***}$
(12.496)(0.069)(3.609)(0.002)
Bull2$88.676^{***}$-0.04318.666$0.003^{**}$
(33.031)(0.036)(12.948)(0.002)
BB3
Bear3$-38.329^{***}$$0.250^{***}$$-30.370^{***}$$0.034^{***}$
(10.925)(0.064)(3.735)(0.002)
Bull3$92.323^{***}$$-0.054^{**}$19.524$0.003^{**}$
(33.132)(0.028)(12.836)(0.002)
BB4
Bear4$-28.358^{**}$$0.190^{***}$$-31.013^{***}$$0.034^{***}$
(14.228)(0.075)(3.566)(0.003)
Bull4$86.029^{***}$-0.036 18.447$0.004^{**}$
(33.161)(0.042)(12.847)(0.002)
"} {"image_path": "images/dce5569a58e635e1820592f16690899d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Weather typeDaysModelEvaluating indicator
MAPE/%RMSE/kW
Sunny14BP13.7530.52
ELM7.9416.69
GA-ELM5.7810.56
Cloudy6BP16.4222.58
ELM10.3715.46
GA-ELM8.9511.32
Overcast7BP20.3519.86
ELM16.7214.74
GA-ELM13.669.14
Rainy3BP25.6820.08
ELM20.0717.49
GA-ELM17.9413.31
"} {"image_path": "images/081d54ddb32185cc96bb5dff731df18a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesMeanSD123456
Time-1
1Ethical leadership behavior3.450.78(0.85)
2Procedural justice3.880.770.14(0.84)
3Distributive justice3.830.770.33**0.32**(0.78)
Time-2
4Trust in organization3.160.660.33**0.24**0.17*(0.71)
5Procedural justice3.340.660.26**0.48**0.28**0.35**(0.72)
6Distributive justice3.350.720.30**0.090.32**0.33**0.23**(0.70)
"} {"image_path": "images/b245966c3f4b0c0e68f4df5db841f8ba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Detectoraxial levelCurrentposition (node)NodesAxial weightingfactor
16.6 (in)290.4
(28.4)280.6
28.4 (in)270.6
(26.6)260.4
312.4 (in)230.6
(22.6)220.4
422.4 (in)230.6
(12.6)120.4
526.7 (in)290.3
(8.3)80.7
628.2 (in)70.8
(6.8)60.2
"} {"image_path": "images/5105ccd3f14437871f2856c8177b7895.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nomenclature
$a_{v}$specific geometric surface
$a_{c}$catalytic surface area to volume ratio
Apre-exponential factor (mol,cm,s)
cconstant pressure specific heat
$d_{p}$pellet diameter
$D_{i,m}$diffusivity of species i
Eactivation energy
hconvective heat transfer coefficient
$H_{i}$enthalpy of species i
$J_{H},J_{D}$heat and mass transfer factors
kthermal conductivity
$k_{f}$forward Arrhenius rate
$k_{i,m}$convective mass transfer coefficient of species i
Lreactor length
$M_{i}$molar mass of species i
ppressure (Pa)
$q_{rad}$radiative heat flux
$\\dot{R}_g$species production rate in gas phase
$\\dot{R}_{s}$species production rate on surface
$S_{0}$initial sticking coefficient
Ttemperature
uaxial velocity
$X_{i}$molar concentration of species i
$Y_{i}$mass fraction of species i
Greek symbols
$\\beta$temperature exponent
$\\varepsilon$porosity
$\\Phi$equivalence ratio
$\\Gamma$surface site density
$\\mu$viscosity
$\\Theta$surface coverage fraction
$\\rho$density
$\\nu$stoichiometric coefficient
Subscript
ggas phase
ssurface, solid
"} {"image_path": "images/c92b42357e73e0c553de3aa6d958414c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Mat.Group$D_g$(cm)$\\Sigma_{a g}~\\left(\\mathrm{~cm}^{-1}\\right)$$\\nu \\Sigma_{f g}~\\left(\\mathrm{~cm}^{-1}\\right)$$\\Sigma_{f g}~\\left(\\mathrm{~cm}^{-1}\\right)$$\\Sigma_{12}~\\left(\\mathrm{~cm}^{-1}\\right)$
111.6953100.01395300.013409760.013409760.0164444
20.4097180.26140970.342397910.34239791-
211.6953100.01399540.013409760.013409760.0164444
20.4097180.26142000.342397910.34239791-
311.6953100.01395230.013409760.013409760.0164444
20.4097180.26140950.342397910.34239791-
"} {"image_path": "images/f59cb8c82ef8acf9a7c7c8aba9dc6f9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\sigma_{\\text{v}}$$Cl_{max}$$(l_{cav})_{max}$ (m)
Rigid foilFlexible foilRigid foilFlexible foil
1.951.3101.3910.05930.0615
2.151.2711.3430.04650.0486
2.281.2621.3040.03260.0347
2.551.1511.1790.01950.0214
2.801.0981.1010.00590.0059
"} {"image_path": "images/286032e1ca056479d42afca3ede3d063.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temp:°CAvramiJander
n$k^*_A10^{-5}(s^{-1})$Equationn$k^*_j10^{-5}(s^{-1})$Equation
250·621.06$y_{25}$ = 1·636x - 4.4559$R^2$ = 0·99974·650·81$y_{25}$ = 0.2151x - 0-3135$R^2$ = 0·9981
400·722.60$y_{40}$ = 1·3882x - 2·884$R^2$ = 0.99546·431·13$y_{40}$ = 0.1554x - 0-1941$R^2$ = 0.9881
500·843·15$y_{50}$ = 1·1868x - 2·3879$R^2$ = 0·98385·911·66$y_{50}$ = 0.1691x - 0-2036$R^2$ = 0·9932
600·903.85$y_{60}$ = 1·1023x - 2·1099$R^2$ = 0·96245·532·73$y_{60}$ = 0.1807x - 0·2086$R^2$ = 0·9958
701·165·56$y_{70}$ = 0·8599x - 1·5377$R^2$ = 0·98247·544·72$y_{70}$ = 0·1326x - 0·1621$R^2$ = 0·9935
"} {"image_path": "images/2b324568ca626e536ae31347fb81e965.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Performance measureIP-SVM1IP-SVM2SM-SVM
TP28,78129,09224,737
FN5142031,108
FP9,0349,8116,684
TN1,6999222,555
$Sn^{+}$ (%)98.2599.3195.71
$Sp^{+}$ (%)76.1174.7878.72
$Sn^{-}$(%)15.838.5927.65
$Sp^{-}$(%)76.7781.9669.75
Ac (%)76.1574.9877.79
MCC0.27280.21170.3366
AUC0.74050.69910.7642
"} {"image_path": "images/90529df6cf1fac2e43725e96793fc9cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$C_0$$C_1$$C_2$$C_0$$C_1$$C_2$
$\\widehat{m}_{LS,C}$0.014810.048580.07293
$\\widehat{m}_{M,C}$$RCV_1$0.022440.027160.03480$RCV_2$0.019380.025150.03182
$EF_{LS.M:C}$$RCV_1$-51.49744.09052.280$RCV_2$-30.82648.23956.367
$\\widehat{m}_{LS,S}$0.027120.078070.10073
$\\widehat{m}_{M,S}$$RCV_1$0.032000.038330.05316$RCV_2$0.029890.036760.04869
$EF_{LS.M:S}$$RCV_1$-17.96950.90247.228$RCV_2$-10.08852.90751.660
$\\widehat{m}_{LS,I}$0.026570.076900.10221
$\\widehat{m}_{M,I}$$RCV_1$0.032440.037240.05018$RCV_2$0.030140.036220.04710
$EF_{LS.M:I}$$RCV_1$-22.12051.56650.901$RCV_2$-13.46152.89953.915
"} {"image_path": "images/a2fc94ea293fc9bf48d2d8f1aaa408a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AttributeBtSig. Collinearity Statistics
ToleranceVIF
Value $(A_{1})$0.19221.3300.0000.4132.421
Location $(A_{2})$0.0997.9510.0000.8011.248
Room $(A_{3})$0.25125.6120.0000.3952.530
Cleanliness $(A_{4})$0.0838.0090.0000.4382.283
Service $(A_{5})$0.42052.8840.0000.4582.181
(Constant)-2.343-4.3150.000
"} {"image_path": "images/3b87f68c6982a537041c16041dc3f4d8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
InhibitorC,ppm$R_{s},$$Ω~cm^{2}$n$C_{dl},$$μF~cm^{-2}$$R_{ct}$,$Ω~cm^{2}$η,$\\%$
Phenol02.30.8310.030.0-
102.60.8140.988.566.1
202.30.8158.072.358.5
252.30.8147.484.164.3
302.30.8135.397.369.2
502.50.8122.8127.776.5
1002.50.8112.3175.582.9
"} {"image_path": "images/8924780bef499b9730838b2a606c1502.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
课 题角与直角学 科:数 学学 校嘉定区实验小学
教 师姚海萍年级二年级课时1 课时上课时间2007. 12. 11
课前分析教材分析在生活中学生已经积累了许多有关角与直角的经验,本节课是将这些经验初步上升成为一个概念,给一个名称。并通过动手制作直角,进而学会用直角量具测定和判断直角。
学情分析学生在学习这一内容前,直线,射线等知识都未曾接触过,所以在教学这一课时,考虑学生的认知情况,把学生经历感性认知提升到抽象的数学概念的过程定为学习的重点,而直角这一概念则是通过它的形象特点来认识的,怎样让学生摆脱思维定势,正确的认识并用工具来验证直角则成为本节课教学的难点。
教学目标知识与技能1. 初步认识角,知道角的各部分的名称。2. 认识直角,会用三角尺等量具正确地测定和判断直角。3. 通过动手操作,制作直角,体会直角的特征。
过程与方法通过学生的学习活动——找角——指角——说角——验证直角——制作直角,使学生经历从生活中的角抽象出数学中的图形角的学习过程,从而总结出角的概念和特征,进而测定和判断直角。
情感态度与价值观在数学学习中激发学习的兴趣,体会生活中处处有数学,体验学习的愉悦与知识的价值。
教学策略从儿童熟悉的生活情境入手,通过个别交流、自学书本、教师引导、合作学习等形式进行教学,让学生在\"找角——指角——说角——验证直角——制作直角——回归生活\"的过程中体验数学学习的方法——观察、归纳、交流、验证、迁移等。
媒体设计为了让学生对较抽象的数学图形角有比较直观的理解,我确定将电子白板作为教学的辅助工具,运用电子白板直观、便捷的优势,更好地实现教学目标。利用 PowerClick 的即时反馈系统(按按按),让学生对新知学习进行练习与巩固,在愉快的活动中获得知识,将体验与思维有机结合,使探究活动达到事半功倍的效果,也有利于教师根据学生的及时反馈,适时调整教学进程。
"} {"image_path": "images/d5d262467c46cc7082f5b567a3673400.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample$\\bar{r}$(nm)D($10^{11}/cm^2$)Q($10^{12}/cm^2$)$\\Delta$E(eV)$\\sigma$(nm)
5 × $10^{14}~cm^{-2}$, 720 °C, 810 m111.21.460.729.98
5 × $10^{14}~cm^{-2}$, 820 °C, 10 m6.01.61.020.7610.4
5 × $10^{14}~cm^{-2}$, 820 °C,180 m8.01.10.6460.7314.5
5 × $10^{14}~cm^{-2}$, 820 °C, 540 m110.70.6230.7319.2
5 × $10^{14}~cm^{-2}$, 870 °C, 3 m7.01.30.7220.7710.9
5 × $10^{14}~cm^{-2}$, 820 °C, 30 m9.01.20.6590.7516.7
2 × $10^{15}~cm^{-2}$, 720 °C, 810 m111.21.930.748.79
2 × $10^{15}~cm^{-2}$, 820 °C, 30 m7.01.51.050.769.96
"} {"image_path": "images/f9aad30c0ef77bc67fd0426448f0af0f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Premelt $T,~K,~{ }^{\\circ} \\mathrm{C}$Final equilibration $T,~K,~{ }^{\\circ} \\mathrm{C}$Time, $\\mathrm{h}$PhaseMeasured, mol.%Corrected, mol.%
CaO$\\mathrm{FeO}_{1.5}$ZnOCaO$\\mathrm{FeO}_{1.5}$ZnO
Zincite0.751.8197.40.751.2398.0
Lime (Ca,Zn)O + low-Fe zincite (Zn,Ca)O boundary
1673 (1400)1623 (1350)0.2 + 2Liquid41.022.436.640.822.536.7
Lime91.90.47.791.90.47.7
Zincite2.80.6396.62.80.2797.0
1693 (1420)1673 (1400)0.2 + 1Liquid39.917.542.639.817.542.7
Lime89.10.410.589.10.410.5
Zincite3.30.6096.13.30.3296.4
Lime (Ca,Zn)O liquidus
1673 (1400)1573 (1300)0.25 + 20Liquid41.521.237.341.321.337.4
Lime92.10.37.692.10.37.6
Lime $(\\mathrm{Ca}, \\mathrm{Zn}) \\mathrm{O}+$ brownmillerite $\\mathrm{Ca}_{2} \\mathrm{Fe}_{2} \\mathrm{O}_{5}$ boundary
1673 (1400)1623 (1350)0.2 + 2Liquid47.936.615.547.636.815.6
Lime97.20.42.497.20.42.4
Brownmillerite50.547.81.6750.148.51.38
1673 (1400)1643 (1370)0.2 + 2Liquid49.138.312.648.838.637.4
Lime97.60.51.997.60.51.9
Brownmillerite50.747.81.5350.348.41.30
Subsolidus
1623 (1350)1493 (1220)0.25 + 20Spinel2.568.129.42.568.129.4
Brownmillerite50.348.21.4650.048.91.14
Zincite*8.527.364.28.526.864.7
"} {"image_path": "images/4709d661b9e3dd01c3975a9126d835bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CorrelationsAPE [%]AAPE [%]
Correlations for small channels $(\\mathrm{D_{h}}<2\\ \\mathrm{mm})$
Bertsch et al. [73]-75.675.6
Hamdar et al. [74]-0.1224.5
Kaew-On et al. [75]-86.686.6
Kew and Cornwell [76]-46.746.7
Lee and Mudawar [72]-62.162.1
Li and Wu [77]-39.041.5
Saitoh et al. [78]-17.631.0
Sun and Mishima [79]-58.858.8
Warrier et al. [80]-58.358.3
Correlations for large channels or tubes $\\mathrm{(D_{h}>2 \\ mm)}$
Gungor and Winteton [81]-26.038.9
Liu and Winterton [82]-60.260.2
Shah [83]-45.345.3
Tran et al. [84]-8.4828.1
Wattlet et al. [85]-62.162.1
"} {"image_path": "images/7aacc139fe56b21048b2564b16db829b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\pm $ 6 months$\\pm$ 3 months
Employed(1)Rank (occscore)(2)Ln(occscore)(3) Different occupation(4) Employed(5)Rank (occscore)(6) Ln(occscore)(7) Different occupation(8)
Panel A: Older cohorts
$\\gamma^{\\text {After}}$$0.005^{**}$0.010***$0.020^{***}$0.0030.0060.0050.012-0.008
(0.003)(0.003)(0.005)(0.005)(0.004)(0.004)(0.007)(0.008)
$ζ^{\\text {After}}$-0.001 0.007*0.0100.006-0.0040.0050.0060.003
(0.004)(0.004)(0.007)(0.007)(0.005)(0.006)(0.010)(0.011)
N488,268398,790373,117274,829240,775196,647183,700134,400
Panel B: Younger cohorts
$\\gamma^{\\text {After}}$$0.006^{***}$$0.012^{***}$$0.019^{***}$-0.0010.0020.0050.009 $-0.016^{***}$
(0.002)(0.002)(0.004)(0.004)(0.003)(0.004)(0.006)(0.006)
$ζ^{\\text {After}}$-0.005-0.004 $-0.009^{*}$ -0.0030.002-0.003-0.0060.003
(0.003)(0.003)(0.006)(0.005)(0.005)(0.005)(0.009)(0.008)
N661,754538.194505.113424.406323.267262.451245.994205.973
"} {"image_path": "images/03736950c037a29fe61703502cc03b92.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Above-groundproductivity$(g~m^{-2}~yr)$LAI$(m^2~leaf~m^{-2})$Annualassimilation$(g~m^{-2}~leaf~yr^{-1})$Leafduration(yr)LeafspecificN content$(g~m^{-2})$Leaf Ntrans-location(%)N-utilizationefficiency$(g~mg^{-1}~N)$
California
Rhus ovata1,7311.9588822.07572.00
Arctostaphylos glauca2,5423.5871022.37561.36
Ceanothus $greggi^b$1,4612.4659325.03340.43
Heteromeles arbutifolia1,0632.8137821.72170.53
Quercus agrifolia7932.4632221.69320.56
Adenostoma fasciculatum6673.0921521.08390.65
Chile
Lithraea caustica8781.1477022.60561.35
Kageneckia oblonga1,0972.2448923.61470.51
Colliguaya odorifera7160.9178613.13220.32
Quillaja saponaria3381.7519322.20350.27
Cryptocarya alba9014.4220422.10270.27
$Satureja~gilliesii^a$3441.3924711.34280.26
$Trevoa~trinervis^{a,~b}$5512.2624412.18300.16
"} {"image_path": "images/de91b49ef64a1830878c488c2bf56c79.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
中文名学名养殖对象?是 否
平胸龟科Platysternidae
平胸龟属Platysternon
平胸龟P. megacephalum
龟科Emydidae
乌龟属Chinemys
大头乌龟C. megalocephala
黑颈乌龟C. nigricans
乌龟C. reevesii
盒龟属Cistoclemmys
黄缘盒龟C. flavomarginatus
黄额盒龟C. galbinifrons
闭壳龟属Cuora
金头闭壳龟C. aurocapitata
百色闭壳龟C. mccordi
潘氏闭壳龟C. pani
三线闭壳龟C. trifasciata
云南闭壳龟C. yunnanensis
周氏闭壳龟C. zhoui
齿缘摄龟属Cyclemys
齿缘摄龟C. dentata
地龟属Geoemyda
地龟G. spengleri
拟水龟属Mauremys
黄喉拟水龟M. mutica
花龟属Ocadia
花龟O. sinensis
锯缘摄龟属Pyxidea
锯缘摄龟P. mouhotii
眼斑龟属Sacalia
眼斑水龟S. bealei
四眼斑水龟S. quadriocellata
陆龟科Testudinidae
四爪陆龟属Agrionemys
四爪陆龟A. horsfieldi
"} {"image_path": "images/c17cdfa2181ead6b84639228cafb69dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
St.$(V-R)_{cs}$$(V-R)_{cs}-(V-R)_{T}$$(V-R)_{cc}$$(V-R)_{cc}-(V-R)_{T}$
200.591-0.611-
210.649-0.0140.671-0.001
220.218-0.0100.237-0.001
250.286-0.0260.321-0.001
260.6670.0190.638-0.010
310.3080.0250.281-0.002
360.5920.0220.578-0.008
440.439-0.0090.4580.009
450.5810.0090.5940.022
540.7950.0080.780-0.007
"} {"image_path": "images/7e1ebccaf181b383a4e638a2439fbda1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Inappropriateexpectations of children'sbehaviorLack empathy forchildren' s needsBelieve in use ofcorporal punishmentReverse parent-child rolesOppress children' spower andindependence
PrePosttPrePost tPrePosttPrePosttPrePostt
Fathers (n = 11)4.913.34**4.453.38**4.646.38*** 6.002.51*5.272.09
7.367.007.367.456.64
Mothers (n = 14)5.143.69**5.072.67**5.433.85**5.366.68***5.503.23* *
6.866.717.437.437.29
"} {"image_path": "images/3a99b50517916902b61d155deaa70653.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T=7,k=3
pn
3456789101112
0.2195395141189238285331375416
0.5162321456564647707748775792802
0.8459680772804814817817818818818
"} {"image_path": "images/a6dccb90b98c720b4bf7b11a83d60460.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MycotoxinPseudo-First-OrderPseudo-Second-Order
$Q_{t}=Q_{e}(1-e^{-k 1 t})$$Q_t=Q_e[1-(\\frac1{1+K_2Q_et})]$
$k_{1}\\ (1 /min)$$ q_{e,cal}\\ (ng /g) $$R^{2}$$k_2\\ \\text{(g/ng min)}$$q_{e, c a l}\\ (\\mathbf{n g} / \\mathbf{g})$$R^{2}$
$AFB_{1}$0.0022.450.9280.0023.850.989
ZEA0.0021.950.9450.0053.190.999
OTA0.00081.590.6610.033.330.996
"} {"image_path": "images/9d3a605816adf69381c11872d008f127.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelFactorsh = 1h = 5h = 10h = 20h = 60
IW-F151.0852.5753.3554.0753.38
IW-IHMM-F145.5245.4745.3545.4646.29
IW-F347.4149.1349.9750.8250.91
IW-IHMM-F345.2345.2645.1945.2545.83
IW-F546.3347.9848.6949.4048.93
IW-IHMM-F544.9445.1745.1445.2445.66
IW-F745.8647.4448.1248.7648.39
IW-IHMM-F744.9545.1745.1345.1545.65
IW-F1045.4346.9847.6348.1947.93
IW-IHMM-F1044.9045.1445.0945.1545.59
TD-CAW45.7248.4751.1356.3975.59
RDCC62.4465.6468.9674.3089.42
RDCC-t60.6363.7566.9572.4187.58
RCOV discount46.0747.2448.1549.3452.83
EWMA46.0946.3946.5746.7747.55
SMA48.3948.6748.9949.7753.45
RW62.0065.3566.7266.9564.67
"} {"image_path": "images/43a03c4cd9d3e94b1f28cd55f4c78de9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.Function nameMechanismsg(α)f(α)
1Jander equationDiffusion, 3D (spherical symmetry)$[1 - (1 - α)]^{1/3}]^{1/2}$$3/2(1 - α)^{2/3}[1 -(1 - α)]^{1/3}]^{-1}$
2G-B equationDiffusion, 3D (column symmetry)$1 - 2α/3 - (1 - α)^{2/3}$$3/2[(1 - α)^{-1/3}-1]^{-1}$
3Anti-Jander equationDiffusion, 3D$[(1 + α)]^{1/3} - 1]²$$3/2(1 + α)^{2/3}[(1 + α)^{1/3} - 1]^{-1}$
4Z-L-T equationDiffusion, 3D$[(1 - α)^{-1/3} - 1]^2$$3/2(1 - α)^{4/3}[(1 - α)^{-1/3} - 1]^{-1}$
5Avrami-Erofeev equationRandom nucleation and nuclei growth,n = 3$[-In(1 - α)]^{1/3}$$3(1 - α)[-In(1 - α)]^{2/3}$
6Avrami-Erofeev equationRandom nucleation and nuclei growth,n = 2$[-In(1 - α)]^{1/2}$$2(1 - α)[-ln(1 - α)]^{1/2}$
7Avrami-Erofeev equationRandom nucleation and nuclei growth,n = 3/2$[-In(1 - α)]^{2/3}$$3/2(1 - α)[-ln(1 - α)]^{1/3}$
8Avrami-Erofeev equationRandom nucleation and nuclei growth,n = 4/3$[-ln(1 - α)]^{3/4}$$4/3(1 - α)[-ln(1 - α)]^{1/4}$
9Geometrical contractionShrinkage geometric shape(column symmetry)$1 -(1 - α)^{1/3}$$3(1 - α)^{2/3}$
10Geometrical contractionShrinkage geometric shape(spherical symmetry)$1 - (1 -α)^{1/2}$$2(1 - α)^{1/2}$
11Reaction orderChemical reaction$(1 -α)^{-1} - 1$$(1 -α)^2$
"} {"image_path": "images/e5256d742363482ca1a65f6ad00141c6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品 种4年生7年生
调查花序座果花序花序座果%调查花序座果花序花序座果%
新红115152145.3163366240.5
涿短 6 号139660443.3254495137.4
新元帅89519621.9156327817.8
新红星97833334.0228665928.8
普通富士98127928.4---
岩富 10100222922.92489102541.2
长富 182527232.92183966044.3
青富 13104139337.82360117549.8
秋富 1168965338.7177437020.9
胜利121374361.32171107646.8
初秋95758360.92566168465.8
津轻110373766.8152197063.8
乔纳金118457648.63465212461.3
王林135946534.23924169543.2
"} {"image_path": "images/d79c424e4cbc85ee22082cc142dbc3b7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SourceLocationDepth (km)Focal mechanismsFault dimensions(km)Magnitude
Lon (°)Lat (°)Strike (°) Dip (°)Rake (°) LengthWidth
$GCMT^{a}$78.1437.5815.610922856.4
$USGS^{b}$78.15437.4591010922816.35
He et al. (2016)78.13937.7157113.827.298406.41
Wen et al. (2016)78.05737.571114259736406.5
This study 78.1537.4712.511225852010$6.4^{c}$
78.15 37.47 12.511225$89^{e}$2420$6.4^{d}$
"} {"image_path": "images/9f4dc29a78fa2be69deda441d87d618c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Poisson's ratioCalculated $S_{c}=\\sigma/p$ $D/4T$
ShellNozzle
outsideinsideoutsideinside
$\\sigma_{N}$$\\sigma_{T}$$\\sigma_{N}$$\\sigma_{T}$$\\sigma_{N}$$\\sigma_{T}$$\\sigma_{N}$$\\sigma_{T}$
0.32.081.380.94-0.341.661.041.15-0.69
0.52.191.400.77-0.391.761.060.86-0.73
$\\frac{\\Delta S_{c}}{S_{c}} $%$=\\frac{S_{c}(0.5)-S_{c}(0.3)}{S_{c}(0.3)}$+ 5.2%1.5%-18%14%6%1.9%-25%5.7%
"} {"image_path": "images/d11a04ee2c62a253121b253a2578a2e2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Video IDNameInformationbitsResolutionNumbersof framesNumbers ofkey-frames
Vc1Climber50.2MB512 × 25628015
Vc2Figure36.0MB352 × 28826015
Vc3MGM65.4MB352 × 28831015
Vc4Earth72.0MB436 × 34432020
Vc5Box96.4MB560 × 42042025
Vs1Trtris13.4MB256 × 25615012
Vs2Clock4.2MB176 × 1449010
Vs3Building7.6MB176 × 14422015
Vs4Cycling17.4MB325 × 2451608
Vs5Man27.8MB325 × 24520015
"} {"image_path": "images/c3bbdbc41cccce47786af2cd54105081.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TypeEmbedding timeTarget dimension (m)Refs.Notes
Random projection$\\mathcal{O}(nm)$$\\mathcal{O}\\left(\\varepsilon^{-2} \\lg (1 / \\delta)\\right)$[10]$m \\leq n^{1 / 2-\\gamma}$
Sparse$\\mathcal{O}\\left(\\|x\\|_{0} \\varepsilon^{-1} \\lg ^{2}(m / \\delta) \\lg (1 / \\delta)\\right)$$\\mathcal{O}\\left(\\varepsilon^{-2} \\lg (1 / \\delta)\\right)$[9]
Sparse$\\mathcal{O}\\left(\\|x\\|_{0} \\varepsilon^{-1} \\lg (1 / \\delta)\\right)$$\\mathcal{O}\\left(\\varepsilon^{-2} \\lg (1 / \\delta)\\right)$[16]
Hadamard$\\mathcal{O}\\left(n \\lg n+m \\lg ^{2}(1 / \\delta)\\right)$$\\mathcal{O}\\left(\\varepsilon^{-2} \\lg (1 / \\delta)\\right)$[2]
Hadamard$\\mathcal{O}(n \\lg m)$$\\mathcal{O}\\left(\\varepsilon^{-2} \\lg (1 / \\delta)\\right)$[3]
Hadamard$\\mathcal{O}(n \\lg m)$$\\mathcal{O}\\left(\\varepsilon^{-2} \\lg (1 / \\delta) \\lg ^{4} n\\right)$[17]
Toeplitz$\\mathcal{O}(n \\lg m)$$\\mathcal{O}\\left(\\varepsilon^{-2} \\lg ^{3}(1 / \\delta)\\right)$[13]
Toeplitz$\\mathcal{O}(n \\lg m)$$\\mathcal{O}\\left(\\varepsilon^{-2} \\lg ^{2}(1 / \\delta)\\right)$[23]
"} {"image_path": "images/d96654294315a6d7baf05f396efeeb66.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IsothermParameterTemperature (K)
303313323
Langmuir$Q_o(mg g^{-1})$261.78276.24289.85
$K_L(L mg^{-1})$2.07612.10472.2258
$R^{2}$0.990.990.99
Freundlich1/n0.17220.19900.2441
$k_F((mg g^{-1}) (L mg^{-1})^{1/n}))$153.40156.53168.34
$R^{2}$0.720.770.86
Temkin$R^{2}$0.830.920.95
"} {"image_path": "images/3e1e6de2ebdd6c6fac30cbd34ec59164.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Time (s)In(t)x=WT/∑MassIn(x)
PVC samples with initial size of 3.35 ~4.10 mm attrited in rotary valve6006.400.08-2.54
24007.780.15-1.90
42008.340.18-1.70
60008.700.32-1.15
78008.960.39-0.94
PP samples with initial size of 2.80 ~3.35 mm attrited in rotary valve18007.500.07-2.73
30008.010.09-2.46
48008.480.13-2.05
66008.790.17-1.77
84009.040.22-1.53
PVC samples with initial size of 3.35 ~4.10 mm attrited by rotary valve inthe pneumatic conveying system108009.290.17-1.77
216009.980.37-0.99
2520010.130.52-0.66
6480011.08 0.39-0.95
PVC samples with initial size of 2.80 ~3.35 mm attrited by rotary valve inthe pneumatic conveying system108009.290.11-2.20
216009.980.16-1.81
3240010.390.20-1.62
3600010.490.32-1.14
4320010.670.23-1.47
"} {"image_path": "images/326ddc0ae32e3512086bb9546ef50568.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Substance useViolence
Late childhoodEarly adolescenceLate childhoodEarly adolescence
B (SE)p-ValueβB (SE)p-ValueβB (SE)p-ValueβB (SE)p-Valueβ
Lower baseline risk class-0.10 (0.04).01-0.110.05 (0.12).670.03-0.17 (0.08).03-0.14-0.04 (0.12).72-0.03
Positive Action-0.06 (0.04).18-0.09-0.14 (0.06).02-0.12-0.05 (0.05).25-0.06 -0.13 (0.07).04-0.13
Substance use (5th grade)-0.19 (0.18).29-0.11-0.21 (0.13).10-0.13
Violence (5th grade)0.57 (0.16).000.430.66 (0.10).000.57
Covariates
Male0.12 (0.03).000.18-0.16 (0.07) .03-0.13 0.15 (0.04).00 0.17 -0.05 (0.05).31-0.05
BlackReferenceReferenceReferenceReference
Hispanic0.01 (0.05).890.01 0.15 (0.05) .000.11-0.18 (0.05).00 -0.18 -0.15 (0.04).00-0.13
Other ethnicity-0.08 (0.02).00-0.100.12 (0.09).190.08-0.19 (0.04).00-0.17-0.08 (0.08).29-0.06
"} {"image_path": "images/098707f44b63867b256e19520309ec37.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model 1Model 2
Fixed effects
Level ICoefficient(SE)Coefficient(SE)
Intercept $\\left(\\gamma_{00}\\right)$$5.29^{**}$ (.10)$5.33^{**}$ (.11)
Topic $\\left(\\gamma_{10}\\right)^{\\infty}$-.08(.07)
Length $\\left(\\gamma_{20}\\right)$ $.003^{**}$ (.0003)
CQ $\\left(\\gamma_{30}\\right)^{20}$ $.24^{**} (.05)$
$\\operatorname{ORG}\\left(\\gamma_{40}\\right)$.06(.04)
$\\operatorname{ARG}\\left(\\gamma_{50}\\right)$$.15^{**} (.03)$
$\\operatorname{LAC}\\left(\\gamma_{60}\\right)$$.16^{**}$ (.04)
$\\operatorname{LAP}\\left(\\gamma_{70}\\right)$.05(.04)
Random effects
Between-rater variance $\\left(\\mu_{\\mathrm{0}}\\right)$.56.59
Chi-square $(d f=59)$$527.17^{**}$$896.12^{**}$
Within-rater variance(r)1.711.01
ICC.25
Reliability
Intercept $\\left(\\beta_{0}\\right)$.89.93
Diagnostics
Deviance (# estimated parameters)4909.41(3)4188.79(10)
Model Comparison Test
Chi-square (df)$720.69^{**}$ (7)
"} {"image_path": "images/828744186e647e3404d2abb5d8cd39ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Location ApparentBrightnessLumin-ance(Foot-Lam-berts)Symbol
Arbi-traryUnitsAbso-luteUnits
Ceiling ‥14512$L_1$
Shutters ‥14512$L_4$
Walls ‥ ‥0·6275$L_3$
Floor cavity ‥0·4183$L_2$
Adaptation level1·25416
"} {"image_path": "images/168b0bfc68976a8028c044ab0d7eacbf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
beammomentum(GeV/c)$D_{\\mathrm{pN}}(\\eta)$$D_{\\mathrm{pN}}(\\eta)$referencesandannotations
experiment$[\\ln(\\sqrt{s}/2m)]^{1/2}$experiment$D_{\\text {CTM }}(\\eta)$
24$ 1.19\\pm 0.02 $1.14$1.19 \\pm 0.01$1.37[9]
50$1.32 \\pm 0.01$1.28$1.29 \\pm 0.01$1.49[9]
67$ 1.31 \\pm 0.01 $1.34$ 1.34\\pm 0.01 $1.54 [9]
200$1.51 \\pm 0.01$1.53$ 1.51\\pm 0.01 $1.71[9]
200 $1.52\\pm(5\\%)$ 1.53$1.58\\pm(5\\%)$1.67 $A\\sim 30\\cdot(\\langle\\nu\\rangle=2)$ [10]
$1.57\\pm(5\\%)$ 1.74$A \\sim 160(\\langle\\nu\\rangle=3)[10]$
$ 1.57\\pm(5\\%) $1.79$ A~\\sim 276~(\\langle\\nu\\rangle=4) ~[10] $
"} {"image_path": "images/d51d184cf1f6f1c73503f8ce6d2d07cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nomenclature
$A_{x}$Debye-Huckel parameter
$a_{u}$interfacial mass-transfer area ($m^{2}$/$m^{3}$)
$C_{i}$molar concentration (kmol/$m^{3}$)
$c_{p}$specific heat capacity (kJ/kmol K)
$D_{i}$diffusivity of component i ($m^{2}$/s)
$\\Delta_{R}H$reaction heat (kJ/kmol)
$\\Delta_{V}H$vaporization/condensation heat (kJ/kmol)
Eenhancement factor
Fvolumetric flow rate ($m^{3}$/s)
hheat transfer coefficient (kW/$m^{2}$ K)
HaHatta number
$H_{{CO}_{2}}$Henry's law constant
$I_{x}$ionic strength
$k_{r}$, $k_{d}$reaction rate constant($m^{3}$/kmol s)
$k_{G}$, $k_{L}$gas or liquid film mass-transfer coefficient (m/s)
$K_{p}$total mass transfer coefficient (kmol/$m^{2 }$s K)
Mmolecular mass (kg/kmol)
Ninterfacial molar flux (kmol/s)
Ppartial pressure (bar)
Scolumn's cross-section area ($m^{2}$)
ttime (s)
Ttemperature (K)
$vvelocity (m/s)
$xmole fraction
$zaxial column coordinate
Zcoordinationnumber
Greek symbols
$\\beta $adjustable energy parameter
$\\gamma $activitycoefficient
$\\mu $viscosity (Pas)
$\\lambda $thermal conductivity (W/$m^{2}$ K)
$\\rho $density (kg/$m^{3}$)
$\\Gamma $nonrandom factor
Subscripts/superscripts
Ggas phase
Lliquid phase
$i,j$CO_{2}$, MEA, $H_{2}$O
*equilibrium
"} {"image_path": "images/32c11cf3377bd19424a0d54ac3fbbd8b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableCountBins
12345
Shoreline Change (m)137ExtremeMildNo Change
-30 to -15-15 to -5-5 to 5
Mean Water Level (m)135LowMediumHigh
< -0.05-0.05 to 0.2>0.2
Nearshore Wave Power (W/m)137LowMediumHigh
<8e58e5 to 2e6>2e6
Storm Meteorological Independence (days)137~Week~Month~Months
<77 to 35>35
Pre-storm Beach Width (m)137Highly ErodedErodedNormalAccretedHighly Accreted
-30 to -15-15 to -5-5 to 55 to 1515 to 30
Pre-storm Beach State117LTTTBRRBBLBT
1.8 to 2.62.6 to 3.33.3 to 44 to 4.9
Pre-storm Beach Slope137FlatterSteeper
<0.12>0.12
"} {"image_path": "images/162716d4afd840e4786815d14f5acd1a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
no. of pulseyield, $\\mathrm{mf}^{b}$
$\\mathrm{C}_2\\mathrm{H}_4$$\\mathrm{C}_3\\mathrm{H}_6$propaneconvn, $\\mathrm{mf}^{b}$
10.39250.10720.7910
20.39210.10780.7865
30.39270.10920.7909
40.38450.10740.7918
mean value0.39240.10790.7900
std mean variance0.00400.00090.0024
"} {"image_path": "images/d88b51c5b77d093b0e62bc0a4941139d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
YearFreq.PercentIndustryFreq.Percent
20041084.32Agriculture, forestry and fishing200.80
20051275.08Mining833.32
20061546.16Manufacturing167967.11
20071726.87Utilities2279.07
20081897.55Construction833.32
20092128.47Wholesale trade1074.28
20102369.43Transportation1385.52
20112489.91Information and technology803.20
201225210.07Real estate722.88
201326510.59Others130.52
201426910.75Total2502100.00
201527010.79
Total2502100.00
"} {"image_path": "images/ea075ece9fe9154868a51c9c041a4c46.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Q_1$:When you start to change the lane,can you feel the existence of LKAS clearly,so you can know the working state ofLKAS and feel safe?
UnacceptableAcceptable
No sense, additionalconfirmation isalways requiredQuite fuzzy, additionalconfirmationis required. A little bit fuzzy, noadditional confirmationis required.Quite clear, no addi-tional confirmationis required.Extremely clear
12345
$\\mathrm{Q}_{2}$ : Can you accept the maximal torque during the lane change?
UnacceptableAcceptable
Extremelygreat resistanceObvious resistanceSensible resistanceSlightly resistanceNo resistance
12345
$Q_{3}$ : Do you think that LKA disturb you all the time when you conduct lane change?
UnacceptableAcceptable
LKA quits veryslowly,extremely resistanceLKA quits slowly,obvious resistanceLKA quits quickly,sensible resistance LKA quits quitequickly,slightly resistance LKA quitsextremely quickly,no resistance
12345
$\\mathrm{Q}_{4}$ : Do you think it is difficult to control the vehicle because of the sense of abrupt when the LKA torque disappears?
UnacceptableAcceptable
Extremely abruptand dangerousQuite abrupt and alittle dangerous Slightly abruptand controllableSlightly gentleand safeGentle and safe
12345
"} {"image_path": "images/bfca5a7174f1fc49b8402ac6e99f8572.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T(K)N-(2,4-dimethylphenyl)-2,2-dichloroacetamideN-(3,5-dimethylphenyl)-2,2-dichloroacetamide
$C_{p} (cal~mol^{-1} K^{-1})$S $\\left(\\mathrm{cal}~\\mathrm{mol}^{-1} \\mathrm{~K}^{-1}\\right)$$\\Delta ~H\\left(\\text{kcal mol}^{-1}\\right)$$C_{\\mathrm{p}}~\\left(\\mathrm{cal}~\\mathrm{mol}^{-1} \\mathrm{~K}^{-1}\\right)$$S(cal ~mol^{-1}K^{-1})$$\\Delta~ H\\left(\\mathrm{kcal}~\\mathrm{mol}^{-1}\\right)$
10026.9585.831.8123.9784.811.64
20042.10109.205.2738.47105.884.76
298.1556.69128.7510.1252.85123.939.24
30056.96129.1010.2253.11124.259.34
40070.55147.3916.6266.61141.4315.34
50081.89164.4024.2677.91157.5522.59
60091.04180.1732.9287.05172.5930.85
70098.46194.7842.4194.46186.5939.94
800104.56208.3452.57100.55199.6149.70
900109.64220.9563.29105.63211.7660.02
1000113.91232.7374.47109.91223.1170.80
"} {"image_path": "images/e1a4288c0cd00be47a5f0b7e0c8cdaed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Water quality constituent(mg/L) Tucson, Arizona,water-production wellsCAP $water^a$
Tota ldissolved solids259787
Hardness (as $CaCO_3$)119313
Sodium40102
Chloride1794
Calcium3975
Magnesium530
Sulfate45256
Alkalinity (as $CaCO_3$)126194
Total organic carbon<13
"} {"image_path": "images/706f91bfe39d5a4932e6d1a76d0ba1ce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Specimen nameAxial load rationApplied axial loadN (kN)Estimated yieldmoment(kN m)Estimated maximumlateral load(kN)Estimated yielddisplacement(mm)
D37-6-0.20.2530.8140.0103.710.2
D56-6-0.20.2668.3164.3121.712.0
D80-6-0.40.41546171.8127.37.21
D80-6-0.4-S0.41624178.4132.17.53
D80-10-0.40.41479167.5124.18.52
D116-6-0.20.21060233.6173.016.4
D116-6-0.40.42116235.1174.18.10
D116-10-0.40.42103233.7173.110.0
"} {"image_path": "images/0107af26aa51f0b18746f2a26ee04d0e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
YEARNO. OF BIRTHSNO. OF ​♂PERCENT ​♂
191946,75824,10351.548
192055,31628,29351.148
192162,61132,21251.448
192256,72429,17051.424
192355,93428,90551.677
192458,90030,19651.267
192559,63930,77951.609
192660,20030,77251.116
192760,88831,33151.457
192859,01630,33751.405
192958,80030,21051.378
I93058,08329,88151.445
193152,99327,46451.826
193249,25825,31051.382
I93346,65524,00451.450
I93447,95524,73451.578
193549,42525,39251.375
193647,93924,69851.520
193749,63325,56351.504
193851,66026,55251.398
TotalI,088,387559,906
Mean54,419.3527,995.351.444
"} {"image_path": "images/d4dd19d7cdccb3912e3ebcbaed369b16.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ComplexesTheoretical valuesExperimental values$\\Lambda/\\mathrm{S~cm}^2\\mathrm{~mol}^{-1}$
SmCHNSmCHN
$[\\mathrm{Sm}(o\\text{-MOBA})_3\\mathrm{bipy}]_2\\cdot\\mathrm{H}_2\\mathrm{O}$19.5553.113.933.6419.6052.853.703.6823.5
$[\\mathrm{Sm}(m\\text{-MOBA)}_3\\mathrm{bipy}]_2\\cdot\\mathrm{H}_2\\mathrm{O}$19.5553.113.933.6419.6153.223.153.438.4
"} {"image_path": "images/89e588deb31b0c1b40c74875b708edb5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1.苯2.甲苯$t_{R_{1}}$(min)$t_{R_{2}}$(min)$t_{R_2}-t_{R_1}$(min)$h_{1}$(cm)$h_{2}$(cm)$h_1/h_2$$W_{1/2}^{1}$(cm)$W_{1/2}^{2}$(cm)
12.124.482.3613.726.342.160.2360.499
22.124.492.3713.656.302.170.2400.499
32.124.512.3913.656.292.170.2500.499
42.134.512.3813.686.282.180.2470.499
52.124.522.3913.826.362.170.2430.494
X2.124.502.3813.706.322.170.2430.498
"} {"image_path": "images/3d63ab4b26f075f8a9c91a59b63044cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PropertiesValues
Faraday number0.965 $10^5 \\ C \\ {mol}^{-1}$
Gases constant, R$8.31\\text{ J mol K}^{-1}$
Temperature, T300 K
Mobility of ion $K+,\\:\\mu_{\\mathrm{K}}$$5\\:\\mathrm{m}^2\\:\\mathrm{V}^{-1}\\:\\mathrm{s}^{-1}$
Membrane potential,U35.4mV
Membrane thickness,$\\delta $1 nm
Outside concentration, $C_{E}$3 mM
Inside concentration, $C_{I}$1 mM
Magnetic induction, B100 and 200 mT
"} {"image_path": "images/0c992baac50bdbb247f0a3adb9f69c34.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ionic liquidSolids in the liquid phase
$“tetrakis\"C_{4}H_{12}ClO_4P$$“imidazolium\"C_9H_{18}N_2O_4S$
Ratio sludge:IL$TS^{\\color{Green} a} $$Ashes^{\\color{Green} b} $$Ashes^{\\color{Green} c} $$Vs^{\\color{Green} d} $$TS^{\\color{Green} a} $$Ashes^{\\color{Green} b} $$Ashes^{\\color{Green} c} $$Vs^{\\color{Green} d} $
1 g: 2 mL8.428.52.471.512.51.90.298.1
1 g: 5 mL21.719.84.380.236.40.80.399.2
1 g:10 mL29.611.63.488.452.00.50.399.4
"} {"image_path": "images/bd43d56afbd14c94e69ba9c5b6bf6880.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dimension k123456
$ x_{i ,k}$1.362.553.850.632.680.82
$\\phi_{i ,k}$346152
$ \\pi_{i ,k}$223131
"} {"image_path": "images/722f88d2d67fefb5da8db6715e86a3d0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
K $(\\tau )$c $(\\tau )$N
$\\bar{\\Delta}\\tau^{*}$$(\\%)$$\\bar{\\Delta}s^{*}$$(\\%)$$\\bar{\\Delta}\\pi^*$$(\\%)$$\\bar{\\Delta}\\tau^{*}$$(\\%)$$\\bar{\\Delta}s^{*}$$(\\%)$$\\bar{\\Delta}\\pi^*$$(\\%)$$\\bar{\\Delta}\\tau^{*}$$(\\%)$$\\bar{\\Delta}s^{*}$$(\\%)$$\\bar{\\Delta}\\pi^*$$(\\%)$
-506.2-4.60.518.8-10.42.5-6.8-39.129.1
-202.3-1.70.16.3-4.00.3-2.0-14.93.7
+20-1.81.40.0-5.65.00.31.914.21.7
+50-4.23.60.3-10.78.21.13.736.06.3
"} {"image_path": "images/4dae7d4ee38560a728dbbb14c34955f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
System parameters
Column length, L (cm)9.0
Particle porosity, $\\varepsilon_{\\mathrm{p}}$0.567
Particle diameter, $R_{p}(\\mu m)$ 1.0
Mass transfer coefficient, $k_{l, \\mathrm{~A}}\\left(\\mathrm{~s}^{-1}\\right)$1.5E-4
Extended Langmuir isotherm$ H_{i}^{1} c_{i}+\\frac{H_{i}^{2} c_{i}}{1+\\sum k_k^{2} c_{k}} $
Henry coefficient,$H_B^1$2.054
Henry coefficient, $H_{\\mathrm{B}}^{2}$5.847
Isotherm parameter, $k_{\\mathrm{B}}^{2}\\left(\\mathrm{~cm}^{3} / \\mathrm{g}\\right)$129.0
Viscosity methanol, $v(\\mathrm{~g} /(\\mathrm{cm} \\mathrm{s}))$ $1.2~E-2$
Column diameter, $D(\\mathrm{~cm})$2.5
Bed porosity, $\\varepsilon_{\\mathrm{b}}$0.353
Diffusion coefficient, $D_{\\mathrm{p}}\\left(\\mathrm{cm}^{2} / \\mathrm{s}\\right)$1.0E-3
$ \\text{ Mass transfer coefficient,} k_{l,\\mathrm{~B}}\\left(\\mathrm{s}^{-1}\\right) $2.0E-4
Henry coefficient, $H_{\\mathrm{A}}^{1}$2.054
Henry coefficient, $H_{\\mathrm{A}}^{2}$19.902
Isotherm parameter, $k_{\\mathrm{A}}^{2}\\left(\\mathrm{~cm}^{3} / \\mathrm{g}\\right)$472.0
Density methanol, $\\rho\\left(\\mathrm{g} / \\mathrm{cm}^{3}\\right)$0.799
Particle diffusion, $D_{\\mathrm{p}}\\left(\\mathrm{cm}^{2} / \\mathrm{s}\\right)$$1.0 \\mathrm{E}-3$
Operating parameters
Flow rate,$Q_{\\text{max},1}$ (ml/min)500.0
Column configuration, $N_{i}$[2222]
Des. flow rate, $Q_{\\mathrm{De}}(\\mathrm{ml} / \\mathrm{min})$123.6
Raffinate flow rate, $Q_{\\mathrm{Ra}}(\\mathrm{ml} / \\mathrm{min})$24.1
Period, $\\tau(\\mathrm{min})$2.433
Extract purity, ${Pur}_{Ex} (\\%)$99.936
Feed flow rate, $Q_{\\mathrm{Fe}}(\\mathrm{ml} / \\mathrm{min})$14.5
Feed concentration, $c_{\\mathrm{Fe}, i}(\\mathrm{~g} / \\mathrm{l})$[2.5,2.5]
Rec. flow rate, $Q_{\\mathrm{Re}}(\\mathrm{ml} / \\mathrm{min})$42.0
Extract flow rate, $Q_{\\mathrm{Ex}}(\\mathrm{ml} / \\mathrm{min})$114.0
$\\beta$-Factors, $\\beta_{i}$0.6,0.5,4.1,2.6
Raffinate purity, $\\operatorname{Pur}_{\\mathrm{Ra}}(\\%)$99.606
Numerical parameters
Collocation points, $n_c$1
Rel. integr. tol., $r_{\\text {tol }}$1.0E-5
Steady state tol., $\\varepsilon_{\\text {css }}$$3.0 \\mathrm{E}-4$
Finite elements, $n_{\\mathrm{fe}}$10
Abs. integr. tol., $a_{\\text {tol }}$ $3.0~E-5$
Max. mass bal., $m_{\\mathrm{css}}$0.25
"} {"image_path": "images/8e6a8c13fef0c0b9555525b846d62162.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SEASONPLANTFAMILY
July-NovemberPOTATOSolanaceae
August-NovemberYELLOW POTATOSolanaceae
September-NovemberSWEET POTATOConvolvulaceae
October-MarchSUNCHOKECompositae
"} {"image_path": "images/41df105d1bd4036769f7b37476479896.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ThisWork[7][8][5][6]
TechnologyCMOSCMOSCMOS Bi-CMOS InPHBT
Feature size (nm)652865250500
Resolution (bit)46646
$V_{DD}$ (V)1.2$1.4 / 2.5$$1.1 / 2.5$3.5-4.0
$f_{\\text {conv-1-core }}(\\mathrm{GS} / \\mathrm{s})$107$3.5^c$30$60^e$
$V_{\\text{out-swing}} (V_{\\text{pp-diff}})$0.120.50.60.051
$P_d$ (mW)30145$46.87^{\\mathrm{d}}$4551800
SFDR (dBc)$23.3^a$$26^b$30--
INL (LSB)0.16--0.490.31
DNL (LSB)0.12--0.570.43
$FoM_1$ (pJ)0.190.320.210.950.47
$FoM_2\\ ~(\\text{pJ}^{-1})$2.421.112.30--
"} {"image_path": "images/d6ae15183a83fc3ad3ac7448683d5d62.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PWR12 (USDepartment of Energy,1987c)$\\mathrm{I}^{2}\\mathrm{S}$-LWR (Petrovic, 2017)
Power [MWe]1144985
Primary circuitLoopIntegral
Steam generationsystemSteam generatorsPrimary heat exchangersand flash drums
Main coolant pumpsPrimary loop inlineAttached to RPV
PressurizerPrimary loop inlineIntegrated in RPV head
Emergency decayheat removalsystemActiveFully passive
CRDMExternalInternal
Ultimate heat sinkPool/tank (limited)Ambient air (unlimited)
Grace periodHoursPractically indefinite undermost scenarios
Large break LOCA(LB-LOCA)PossibleNot possible
LOCA mitigationHigh pressure systeminjectionEqualization of pressure invessel and containment
Containment coolingActivePassive
Spent fuel coolingActivePassive
Primary seismicdesign approachReinforcedcomponentsSeismic isolators
Nuclear islandTraditionalCompact
"} {"image_path": "images/d9d5dc66d52dd3b9041915e078b27a54.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Aboriginal neonatesCaucasian neonates
RF1
n(ears)40160
Mean(Hz)264.9295.3
SD(Hz)58.678.4
90% range (Hz)180-377.5209-460
RF2
n(ears)31160
Mean(Hz)11441241.8
SD(Hz)228.8216.6
90% range (Hz)715.5-1449.2870-1619.5
△SPL1
n(ears)40160
Mean(dB)7.268.14
SD(dB)2.83.1
90% range (dB)2.3-122.8-13.5
△SPL2
n(ears)31160
Mean(dB)4.44.9
SD(dB)2.22.2
90% range (dB)1.4-8.91.2-8.4
"} {"image_path": "images/e8ea97a04c099d45bbaced0ee277a16d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EIS at 3 digit level
171Spinning of textile fibres;172Weaving of textiles;
173Finishing of textiles;174Made-up textile articles;
175Other textiles n.e.c.;202Veneer sheets;
211Pulp, paper and paperboard;241Basic chemicals;
251Rubber products;252Plastics products;
261Glass and glass products;262Non-structural non-refractory ceramic ware;
263Refractory ceramic products;264Structural non-refractory clay and ceramic products;
265Cement, lime and plaster;266Articles of concrete, cement and plaster;
267Cutting, shaping and finishing of stone;268Other non-metallic mineral products n.e.c.;
271Basi ciron and steel;274Basic precious and non-ferrous metals.
NEISs at 2 digit level
15Manufacture of food products andbeverages;18Manufacture of wearing apparel; dressing and dyeing;
19Tanning and dressing leather; manufactureof luggage, handbags, and footwear;22Publishing, printing and reproduction on record media;
28Manufacture of fabricated metal products,except machinery and equipments;29Manufacture of machinery and equipment;
31Manufacture of electrical machinery andequipments;32Manufacture of radio, television and communicationequipment apparatus;
33Manufacture of medical, precision and opticalinstruments, watches and clocks;34Manufacture of motor vehicles, trailers and semi-trailers;
35Manufacture of other transport equipment;36Manufacture of furniture; manufacturing n.e.c.
"} {"image_path": "images/0bad3e87e4916d698b63b2489dcada3e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesMRangeSDICC$\\alpha $ 1234567
1. General WI0.860-40.740.901$0.24^{*} $$0.23^{*} $-0.01
2. ED (trait)1.931-50.630.94$0.12^{*} $1$0.51^{* *} $$-0.48^{* *}$
3. General Fatigue3.761-112.060.94$0.28^{* *}$$0.48^{* *}$1$-0.23^{*} $
4. General PA3.631-50.720.82-0.03$-0.48^{* *}$$-0.17^{* *}$1
5. Daily WI$0.18^{a}$0-40.530.680.92$0.54^{* *} $$0.15^{*} $$0.41^{* *}$$-0.25^{* *}$1
6. Fatigue at night at home3.471-112.060.840.94$ 0.17^{* *} $$0.42^{* *}$$0.76^{* *} $$-0.17^{* *}$$ 0.41^{* *} $1
7. PA at night at home2.391-50.810.550.870.08-0.22$ -0.24^{*} $$ 0.26^{* *} $0.06$- 0.35^{* *} $1
"} {"image_path": "images/17d98cca99553a5752422cfbfac38b97.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
馬裕如劉銘鋒王化行王紹祖雍長庚張堃劉樞邢丕承張東堂秦州直隸州新志卷之六選舉三#李炳南李承霔杜稚楨張登堂王毓靈張營堂紀新德蒲生春張金堂
"} {"image_path": "images/ec64804a0e5a4b1c48f06bd3c5b69d5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\Delta E_{\\text {elstat }}$$\\Delta E_{\\text {pauli}}$$\\Delta E_{\\text {Steric }}$$\\Delta E_{\\text {orb }}$$\\Delta E_{\\text {disp }}$$\\Delta E_{\\text {int }}$
lon-pair complexes
$2-\\mathrm{CN}^{-}$-97.72(71.28%)63.24-34.48-38.38(28.00%)-099(.72%)-73.85
Cation-anion radical complexes
1-4-44.50(56.31%)4.14-35.60-32.59(44.62%)-071(.97%)-68.89
2-4-39.74(54.41%)9.20-35.30-33.61(42.53%)-.91(1.15%)-69.82
3-4-54.15(58.83%)21.02-33.13-36.72(39.90%)-1.17(1.27%)-71.02
2-5-45.25(58.58%)9.71-35.54-31.03(40.17%)-.97(1.26%)-67.53
2-6-44.25(56.78%)8.44-35.81-32.74(42.01%)-.94(1.21%)-69.49
"} {"image_path": "images/22d12484756e60a2841a94621358f7ec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
业务活动记录分类(一级类目)业务活动记录分类(二级类目)业务活动记录
EMR10 住院病程记录00EMR100008 抢救记录
EMR100009 会诊记录
EMR100010 术前小结
EMR100011 术前讨论
EMR100012 术后首次病程记录
EMR100013 出院小结
EMR100014 死亡记录
EMR100015 死亡病例讨论记录
EMR11 住院医嘱00EMR110001 长期医嘱
EMR110002 临时医嘱
EMR12 出院记录00EMR120001 出院记录
EMR13 转诊 (院) 记录00EMR130001 转诊 (院) 记录
EMR14 医疗机构信息00EMR140001 医疗机构信息
EMR15 健康体检记录00EMR150001 健康体检记录
EMR16 法定医学证明及报告00EMR160001 出生医学证明
EMR160002 死亡医学证明
EMR160003 传染病报告
EMR160004 出生缺陷儿登记
"} {"image_path": "images/12ac03d04bdb73c1b215adee8145a787.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$a_{0}$1.3676001.3829111.3337631.3558351.3951841.397131
$a_{1}$0.0036830.0030420.0036740.0038900.0037060.003681
$a_{2}$0.0001390.0001400.0007780.000226
$a_{3}$0.000005
$a_{4}$-0.000002
$a_{5}$-0.000002
$b_{1}$-0.056202-0.029423
$b_{3}$-0.003074
α-0.022563-0.033165
MRE1.9811%1.9194%1.6911%1.9049%1.9001%1.7003%
RMSRE0.8306%0.8067%0.6709%0.8151%0.7987%0.7129%
"} {"image_path": "images/441b24a6352bda766a75ffde4b478758.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
h/aSCSCCSCS
Present[7][15]Present[13][15]
0.027.4328--6.5249--
0.057.33187.3109-6.4972--
0.16.15076.38056.1785.63225.645.773
0.155.0333--4.7845--
0.24.09244.3477-4.0352--
"} {"image_path": "images/6872a8d0ac0cc15590e16eff7a8fbed7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variable typologyVar.DescriptionPredictedeconomicsignal
Independent ICDIInformation disclosure and compliance index in$Y_{N-1}$ , according to IAS 38 and IFRS 3, using afive-score Likert scale+
BDSIZESize of the organisation's board of directors-
BDWOMProportion of women on the organisation'sboard of directors ?
BDINTProportion of members who act as executive orNEMs on boards of other organisations in thebusiness's group?
BDNEMProportion of independent board members?
BDEXTProportion of members on externalbusiness organisation's boards?
ControlSIZENatural logarithm of total assets in BS in $Y_{N-1}$+
COUNT Country of the organisation's headquarters?
SECActivity sector?
"} {"image_path": "images/b2bcec26fca79f77f4e0f954184465f8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
井号/项目65 美元/bbl80 美元/bbl90 美元/bbl
财务内部收益率(%)投资回收期(a)财务内部收益率(%)投资回收期(a)财务内部收益率(%)投资回收期(a)
井 417. 944. 6424. 553. 9128. 693. 61
井 231. 373. 0640. 552. 8346. 322. 73
井 313. 325. 3824. 393. 9220. 064. 37
井 14. 568. 099. 366. 3912. 385. 67
"} {"image_path": "images/58ef2563ca73bced88e6392cdc316e8d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SBR NREU
110 phr110 phr110 phr
ABABAB
0.8699.920.8512.500.7771.39
0.25539200.1500.800.0600.32
819641322475982
0.04250.01600.02180.007400.01330.00588
0.0131.340.00300.00180.000820.0015
23225198154-20
0.2920.04710.389
0.1820.200.14
0.478-1.020.294-7.020.897-0.0842
0.311.580.126340.1350.81
0.5543.460.2947.962.153.27
0.3752200.126330.1090.84
1.8963.460.7178.121.7943.00
0.2341.580.094340.1050.85
0.09950.08980.05320.04250.09470.0886
5.384.855.054.043.323.11
0.98350.98760.97350.98420.99110.9926
"} {"image_path": "images/300e8d70f0f7918392c318feab4544bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2023 年 1-6 月
序号供应商名称采购金额占采购总额比例采购内容
1华谊集团33,621.2534.60%丙烯酸丁酯、丙烯酸异辛酯、丙烯酸、丙烯酸乙酯
2上海顺邦化工有限公司4,262.714.39%丙烯酸丁酯、甲基丙烯酸甲酯、丙烯酸异辛酯、丙烯酸
3重庆奕翔化工有限公司3,826.063.94%甲基丙烯酸甲酯
4中国石油化工集团有限公司3,506.803.61%苯乙烯
5立邦3,429.223.53%丙烯酸丁酯、苯乙烯、丙烯酸异辛酯
合计48,646.0450.06%
2022年
序号供应商名称采购金额占采购总额比例采购内容
1华谊集团61,582.1622.62%丙烯酸丁酯、甲基丙烯酸甲酯、丙烯酸异辛酯、丙烯酸乙酯、丙烯酸
2重庆奕翔化工有限公司19,757.627.26%甲基丙烯酸甲酯
3阿科玛(泰兴)化学有限公司18,474.986.79%丙烯酸丁酯、丙烯酸
4中国中化集团有限公司14,831.715.45%苯乙烯
5中国石油化工集团有限公司10,700.503.93%苯乙烯
合计125,346.9646.04%
2021年
"} {"image_path": "images/8b505a76be297d4ada694ee006311f66.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PopulationSurvival times
0-160$d_{i 1}$161-260$d_{i 2}$261-360$d_{i 3}$361-540$d_{i 4}$541-900$d_{i 5}$$n_i$
Population 03559628
Population 12262517
Population 22545420
Population 3171613121169
"} {"image_path": "images/15e9cd8202014672eaa41ac9fbdc302f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Test statistic/variable$S_{t}$$f_{t}$$\\Delta s_{t}$$\\Delta f_{t}$
ADF-0.569-1.018-19.552***-31.224***
PP-3.259-4.564-19.835***-31.410***
$DF-GLS^a$Lower than 10% significance level forall the lags (1-22)Lower than 10% significance level forall the lags (1-22)Significant at 1% for allthe lags (1-22)Significant at 1% forthe lags1-20,at 5% for 21-22)
$KPSS^a$Significant at 1%for allthe lags (1-22)Significant at 1% for allthe lags(1-22)Lower than 10% significance levelfor all the lags (1-22)Lower than 10% significance levelfor all the lags (1-22)
Zivot-Andrewsminimumt-statistic-4.339-3.947-15.729***-11.534***
"} {"image_path": "images/54c64c613aaf4ff5885ffa9d8c457e26.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
k(m)$ C^{(k)}(\\mathbf{m}) $$F^{(k)}(l)$
1(0)+11
2(+1,0)+1$1-e^{-l}$
3$(+1,+1,0)$ $+\\frac{1}{2}$ $1-2e^{-l}+e^{-2l}$
$(+1,0,+1)$-1
4(+1,+1,+1,0) $+\\frac {1}{6}$ $1-3e^{-l}+3e^{-2l}-e^{-3l}$
$(+1,+1,0,+1)$$-\\frac{1}{2}$
5$(+1,+1,+1,+1,0)$$+\\frac{1}{24}$ $1-4e^{-l}+6e^{-2l}-4e^{-3l}+e^{-4l}$
$(+1,+1,+1,0,+1)$$-\\frac{1}{6}$
$(+1,+1,0,+1,+1) $$+\\frac{1}{4}$
6(+1,+1,+1,+1,+1,0)$ +\\frac{1}{120} $$1-5e^{-l}+10e^{-2l}-10e^{-3l}+5e^{-4l}-e^{-5l}$
(+1,+1,+1,+1,0,+1)$ -\\frac{1}{24} $
(+1,+1,+1,0,+1,+1)$+\\frac{1}{12}$
"} {"image_path": "images/1f9e50455e4c9ef25b506916c73634db.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$E_a\\:(kJ\\:{mol}^{-1})$r$\\Delta H^*~\\mathrm{(kJ~mol}^{-1})$r$\\Delta S^{*}~(\\mathrm{kJ\\ mol^{-1}K^{-1}})$T (K)$\\Delta G^*~(\\mathrm{kJ~mol}^{-1})$
First step
41.010.9938.451.00-0.1529384.96
30345.45
31346.95
32348.45
Second step
10.860.918.280.86-0.3029396.18
30399.18
313102.18
323105.18
"} {"image_path": "images/9a20b5b6947b7e89ea9f5860766aed41.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.exp. Drug-lightintervalX1Fluencerate(mW/cm)X3Fluence(J/cm²)X4Compound:concentration(μmol/kg)X2-X5-X6Lightpowerfiberoutput(mW)Time ofirradiation(min)MeanIDGRresponseY
1350150Rut1:1.7515750 min0.46
22412510Rut1:1.753921 min 200.42
32412510Rut1:0.443921 min 200.44
42450150PMP: 0.4415750 min0.50
52412510PMP: 1.753921 min 200.51
635010PMP: 0.441573 min 200.55
73125150Rut4: 1.7539220 min0.44
8350150Rut4: 0.4415750 min0.45
9245010Rut4: 0.441573 min 200.03
103125150PTP: 0.4439220 min0.57
112450150PTP: 1.7515750 min0.55
12312510PTP: 1.753921 min 200.63
"} {"image_path": "images/6aa78d6e97449e4782ed5e9ff5335d36.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
區分員數省别編 餘人數分發任用人員資遣員數
分發各部隊員數師團管區留用人數編入政治隊員數
遼寧省保安司令部254554712230
遼北省保安司令部1367
吉林省保安司令部35728
安東省保安司令部511264538852
嫩江省保安司令部1674354637
松江省保安司令部1413052518
合江省保安司令部1674240769
興安省保安司令部13957784
黑龍江省保安司令部109449551
合計1,536206358861111
"} {"image_path": "images/e8f6b57ab38f9cd85872bac4c2f89480.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Drug dose(mg/kg)${LD_{50(30)}}^{\\mathrm{a}}$
TreatedUntreated$DRF^b$
56809 ± 20601 ± 131.35
120933 ± 18601 ± 131.55
1681146 ± 18601 ± 131.91
2001218 ± 31601 ± 132.03
2501244 ± 25607 ± 92.05
2501333 ± 25625 ± 162.13
2801329 ± 29601 ± 132.21
4001468 ± 20601 ± 132.44
5601536 ± 26601 ± 132.56
"} {"image_path": "images/558be8acff9e50a31506b290da3ed036.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Copolymer No.SaosBaron
7 days14 days7 days14 days
RelativeCollagen (%)$R_{a}$RelativeCollagen (%)$R_{a}$RelativeCollagen (%)$R_{a}$RelativeCollagen (%)$R_{a}$
1A1081.24400.51091.47810.78
1B1091.27550.641041.081101.04
2A530.86350.5283$1.3^{a}$630.75
2B480.76370.49680.76540.58
"} {"image_path": "images/bb7e08c88370eced36199c07be185cb1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Substituent,X$\\Delta_{3}E$,Eq. (3)$\\Delta_{4}E$,Eq. (4)$\\Delta_{5} E$, Eq. (5)$\\Delta_{6} E^{\\mathrm{a}},$Eq.(6)
Calculated${Experimental}^b$
H0.00.00.00.00.0
${CH}_3$-14.5-14.2-8.4-12.0-12.3
${CH}_2{Cl}$-10.0-10.0-3.2-6.4
${CF}_3$4.74.312.46.1
CHO-28.1-28.4-19.6-17.6-24.0
COOH-21.5-21.0-13.7-12.1-12.0
CN-13.8-13.2-5.9-0.8-11.4
${NH}_2$-40.3-40.8-31.4-29.5-33.1
$\\mathrm{N}\\left(\\mathrm{CH}_{3}\\right)_{2}$-45.1-46.7-19.5-33.6
${NO}_2$-5.6-5.30.1-2.7
OH-28.3-28.4-24.8-30.3-32.8
${OCH}_3$-26.1-26.2-17.4-17.6
F-2.5-3.4-7.1-12.3
CI0.40.12.40.5-7.0
${COO}^-$-34.0-31.3-36.1
$O^-$-178.1-173.1-149.8
${NH}^+_3$15.716.513.4
"} {"image_path": "images/d0de2057b58d921d05c12cc1f2d06515.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BSEB$\\beta$
Sociodemographic
Gender (1 = male)-.03.13-.02
Age.02.05.03
Educational level-.09.05-.15
Work-related
Responsibility.10.05.18*
Time in post.09.05.17
Time in company.00.06-.00
"} {"image_path": "images/c8c44b3b8189c9adf549e537ffc21469.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
数 号
别 文
号 档
日 月日 月日月文发
日 月日 月日月档归
︵或 收人 文名 机︶ 关
事由
人 办 承
形情理处
时 日 月时 日 月间时缮送
时 日 月时 日 月间时稿送
件 附
号 字号 字号文收原
备考
"} {"image_path": "images/cb938193d64c459680abab3e5134a1a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Metal A(eV)$p$ $\\xi$(eV)q B(Mbar) $E_{c o h}$(eV/atom) $r_0$$\\mathring{\\mathrm{A}}$$\\Delta \\gamma_{C o, A u}(\\mathrm{eV} / \\mathrm{at})$(eV/atom)
Auexpt.0.18910.401.7443.871.63-3.822.88
1.65-3.822.88
Coexpt.0.10610.871.5972.361.88-4.452.50+0.25
1.87- 4.452.50+0.21
"} {"image_path": "images/54c0201f1fb1bc6bad5a0851cb733144.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Pure Tone Perception Test PhaseDistortionSpectralDistorsionSaturationDistorsion
$1^{\\text {st }}$ group$2^{\\text {nd }}$ group$3^{\\text {rd }}$ group$4^{\\text {th }}$ group
Number ofquestions2*62*32*12*1363
Weight111.52568
Minimum SQI12102416
"} {"image_path": "images/bee036475f2e45e6881c0b7585dd38ea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Specimen$\\theta_{1}\\:(\\mathrm{rad})$$\\theta_{2}\\:(\\mathrm{rad})$$M_{1}\\:(\\mathrm{kN}\\:\\mathrm{m})$$M_{2}\\:(\\mathrm{kN}\\:\\mathrm{m})$P (kN)$P^{\\prime}(kN)$$\\frac{P}{P'}$
RWUF-0.60.0170.028Elastic:22.3Elastic:61.3134.01341.0
Plastic:40.7Plastic:40.7
RWUF-1.00.0420.042Elastic:55.0Elastic:55.0108.51061.023
Plastic:40.7Plastic:40.7
RWUF-1.40.0540.039Elastic:70.9Elastic:36.691.51000.915
Plastic:40.7Plastic:40.7
"} {"image_path": "images/bcc38406043f1d637ffb71c6ff9f7625.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GenesAbnormal Variant
Serotonin transporter 5-HTTLPR(s/s allele)Anxiety and depression sensitivity, and take28% less investment risk.
Dopamine D4 receptor (7-repeatallele carriers)Novelty and sensation seeking, and take25% more investment risk.
"} {"image_path": "images/81268852b74a9643795b9b74c6e6c5c1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Mixture typeCodeFitting parameter “a”
L1L2
μ$\\sigma$ COV (%)μ$\\sigma$ COV (%)
Field coresSection 1$-2.92 \\mathrm{E}-04$$2.80 \\mathrm{E}-04$95.8$-3.61 \\mathrm{E}-04$$5.45 \\mathrm{E}-04$150.7
Section 2$-8.12 \\mathrm{E}-05$$1.19 \\mathrm{E}-04$146.7$-4.42 \\mathrm{E}-05$$6.60 \\mathrm{E}-06$14.9
Section 4$-2.44 \\mathrm{E}-04$$2.74 \\mathrm{E}-04$112.3$-6.72 \\mathrm{E}-05$0.0-
Section 5$-7.83 \\mathrm{E}-04$$3.07 \\mathrm{E}-04$39.2No Data-
Section 6$-9.76 \\mathrm{E}-05$$1.52 \\mathrm{E}-04$155.6$-2.13 \\mathrm{E}-04$$1.98 \\mathrm{E}-04$93.2
Field mixturesF-Mar-10E$-9.17 \\mathrm{E}-04$1.67E-0418.2$-8.44 \\mathrm{E}-05$$1.37 \\mathrm{E}-05$16.3
F-Mar-22S$-6.54 \\mathrm{E}-04$$4.29 \\mathrm{E}-04$65.6$-1.53 \\mathrm{E}-04$ $1.17 \\mathrm{E}-04$76.9
Laboratory mixturesL-Mar-Pen$-6.98 \\mathrm{E}-04$3.09E-0444.2$-1.37 \\mathrm{E}-04$$7.75 \\mathrm{E}-05$56.7
L-Spav-Pen$-8.68 \\mathrm{E}-04$$2.30 \\mathrm{E}-04$26.5$-3.37 \\mathrm{E}-04$$1.55 \\mathrm{E}-04$46.2
L-Spav-22E$-8.71 \\mathrm{E}-04$$9.01 \\mathrm{E}-05$10.3$-4.76 \\mathrm{E}-04$$2.03 \\mathrm{E}-04$42.6
"} {"image_path": "images/7ecc701397a279520e765ccec36ca8bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Water density $\\left(\\mathrm{g} / \\mathrm{cm}^{3}\\right)$Yield $(\\%)$Sum of yields
HCHO$CH_3OH$HCOOH CO $CO_2$$H_2$
(a) Carbon base
0.1721.137.41.05.714.679.8
0.336.756.40.43.825.492.7
0.505.0 54.70.42.930.993.9
(b) Hydrogen base
0.1721.174.81.08.9 105.8
0.336.7112.80.412.8132.7
0.505.0109.40.418.3133.1
(c) Oxygen base
0.1721.137.42.05.729.295.4
0.336.756.4 0.73.850.8118.4
0.505.054.70.72.961.8125.1
"} {"image_path": "images/bd1ceb37c692e44c0147c77eb8a8bfe2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Inhibitor[Inhibitor]$\\mathrm{mol~dm}^{-3}$Parameter
$\\Delta H^{{\\neq}}$$\\text{kJ mol}^{-1}$$\\Delta S^{\\neq}$$\\text{J mol}^{-1}\\mathrm{K}^{-1}$$\\Delta G^{\\neq}$$\\text{kJ mol}^{-1}$${E_a}^{\\neq}$$\\text{kJ mol}^{-1}$ A$\\mathrm{mol}^{-1}\\ \\mathrm{s}^{-1}$
Alginate0.058.85+61.9777.3161.15$ 1.11\\times 10^{11} $
0.0166.61-30.6475.7469.03$4.14 \\times 10^{11}$
0.0363.60-44.1076.7466.17$ 8.71 \\times 10^{11} $
Pectates0.058.85+26.7177.3161.15$ 1.11\\times 10^{11} $
0.0164.94-38.4576.4067.51$ 1.72 \\times 10^{11} $
0.0361.48-54.2377.6464.05$ 2.57 \\times 10^{10} $
"} {"image_path": "images/caf06cfbb0b28de8da4fac45ce117377.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nondeflated DataDeflated Data
Overall(n = 38)Nonbankrupt(n = 30)Bankrupt(n=8)Overall(n = 38)Nonbankrupt(n = 30)Bankrupt(n = 8)
FISHER2720733267
71%67%88%87%87%88%
BP2824430300
74%80%50%79%100%0%
PNN2524126242
66%80%13%68%80%25%
PNN*2824432275
74%80%50%84%90%63%
"} {"image_path": "images/76d9fb6bc532b5992dcbb2e9f1ff4903.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
18 $\\mathrm{m}^3$ /h ($t_r$ = 17.6s)36 $\\mathrm{m}^3$ /h ($t_r$ = 8.8s)
$O_2 (\\%)$5.314.2
$CO_2 (\\%)$15.857.47
CO (ppm)1785040
NO (ppm)37792
$NO_2$ (ppm)089
$NO_x$ (ppm)377181
$SO_2$ (ppm)66150
$CH_4$ (ppm)650810
T-gaz(℃)537.6361.5
T-amb (°C)30.931.2
Losses (%)24.033.2
Efficiency (%)76.066.8
Lambda1.343.09
Air excess (%)34209
CO/$O_2$0.0330.035
"} {"image_path": "images/5f8be15df967d433ef224c66332483b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Complex12
Formula$\\mathrm{C}_{27} \\mathrm{H}_{30} \\mathrm{~N}_{9} \\mathrm{O}_{15} \\mathrm{Zn}_{1.5}$$\\mathrm{C}_{62} \\mathrm{H}_{85} \\mathrm{Cl}_{5} \\mathrm{~N}_{12} \\mathrm{O}_{37} \\mathrm{Zn}_{3}$
M818.651963.71
Crystal size (mm)$0.16 \\times 0.06 \\times 0.04$$0.30 \\times 0.10 \\times 0.08$
Crystal systemTriclinicMonoclinic
Space groupPiC2/c
$a~\\overset{\\circ}{\\mathrm{A}}$10.382(2)26.385(17)
$b~\\overset{\\circ}{\\mathrm{A}}$11.860(3)17.345(II)
$c~\\overset{\\circ}{\\mathrm{A}}$14.902(4)19.635(II)
$\\alpha$ (°)102.281(5)90.00
$\\beta$ (°)107.132(5)92.58(2)
$\\gamma$ (°)99.377(5)90.00
$V~\\overset{\\circ}{\\mathrm({A}^{3})}$1662.6(7)8976(10)
Z24
T (K)293(2)200
$\\mu~(mm^{-1})$1.1771.032
$\\rho_{\\text {calcd }}\\left(\\mathrm{g~cm}^{-3}\\right)$1.6351.449
F(000)8404034
Reflections $(I>2 \\sigma(I))$24513069
Unique reflections47377893
Measured reflections720032,461
$R_{int}$0.03820.2461
Goodness-of-fit0.7271.009
$R_{I}~(I>2 \\sigma(I))^{\\mathrm{a}}$0.04350.1257
$Rw~(I>2 \\sigma(I))^{\\mathrm{b}}$0.05520.3057
$\\Delta \\rho\\ \\text{max/min}$ $(e\\overset{\\circ}{\\mathrm{A}^{3}})$0.436, -0.2780.671, -0.860
"} {"image_path": "images/8a01f51e98913f6b735d8e5ab1ebd310.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
temp/Ksum of $absorbances^a$${K_p}^a$In $K_p$
$PF_4CF_{3,cquatorial}$$PF_4CF_{3,axial}$
1493.77924.5840.1894-1.664
1886.00517.6730.4187-0.871
25412.42817.9710.8521-0.160
29514.46416.1861.10100.096
29511.37912.7301.10140.097
29612.51514.4271.06880.067
35313.61011.4001.47100.386
37917.03313.1941.59060.464
"} {"image_path": "images/4def8473dcb2c9cdca96c16bb64fb1cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CeramiccuttingtoolsMechanical propertiesStructure parameters
ChemicalcompositionHardness/GPaFlexuralstrength/MPaToughness/MPaRakeangle(°)Wedgeangle (°) Clearanceangle(°)
Tool A$\\mathrm{Al}_{2} \\mathrm{O}_{3}~+$20.19804.16795
Tool BTiC10755
Tool C15705
"} {"image_path": "images/aec0bd78fb0bd218ff6e57c86b051098.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ra$\\varepsilon_{1}=\\varepsilon_{2}$k=1k=10
$|\\Psi_{\\mathrm{max}}|$$\\overline{\\mathrm{Nu}}_{\\mathrm{w}}$$\\overline{\\mathrm{Nu}}_{\\mathrm{f}}$$|\\Psi_{\\mathrm{max}}|$$\\overline{\\mathrm{Nu}}_{\\mathrm{w}}$$\\overline{\\mathrm{Nu}}_{\\mathrm{f}}$
$10^3$0.10.510.8230.8230.640.1011.014
0.20.160.6110.6080.250.0960.953
$10^4$0.13.431.2841.2794.020.1901.874
0.21.390.6710.6732.010.1251.238
$10^5$0.15.761.7371.7416.720.3143.158
0.24.950.9140.9516.230.2392.375
$10^6$0.18.922.2702.22839.90.5955.804
0.24.991.1041.03410.40.3993.876
"} {"image_path": "images/bbbf462aaa58f07a1c021314dbc054ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
基本尺寸材料厚度公 差 等 级
大于大于fmcv
0.53-1±0.05±0.10±0.15±0.20
13±0.15±0.20±0.30±0.40
36-1±0.10±0.15±0.20±0.30
14±0.20±0.30±0.40±0.55
4-±0.30±0.40±0.60±0.80
630-1±0.15±0.20±0.30±0.40
14±0.30±0.40±0.55±0.75
4-±0.45±0.60±0.80±1.20
30120-1±0.20±0.30±0.40±0.55
14±0.40±0.55±0.75±1.05
4-±0.60±0.80±1.10±1.50
120400-1±0.25±0.35±0.50±0.70
14±0.50±0.70±1.00±1.40
4-±0.75±1.05±1.45±2.10
4001 000-1±0.35±0.50±0.70±1.00
14±0.70±1.00±1.40±2.00
4-±1.05±1.45±2.10±2.90
1 0002 000-1±0.45±0.65±0.90±1.30
14±0.90±1.30±1.80±2.50
4-±1.40±2.00±2.80±3.90
2 0004 000-1±0.70±1.00±1.40±2.00
14±1.40±2.00±2.80±3.90
4-±1.80±2.60±3.60±5.00
"} {"image_path": "images/6c5fe597ebe52008d05b380b10fdb418.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Langmuir modelFreundlich model
Dye$q_{max}$$(mg~g^{-1})$b$(K_L ~ q_{max}^{-1})$$K_L$$(L~mg^{-1})$r$K_F$$(mg~g^{-1})$$(mg~L^{-1})^n$nr
BCB166.70.08814.700.98719.162.2930.984
Th200.00.27855.560.99859.684.2190.975
JG172.40.14828.570.99426.282.4630.962
"} {"image_path": "images/6c47b0def4467761adfbe94ac694e0fc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OxideResistivity $\\rho$$k_p{}'$Scale thickness-1000 hASR after 1000h
Ω-cm(cm²/s)$\\mu $m$\\Omega -cm^2$
${Al_{2}O_{3}}$$10^7$–$10^{10}$$3×10^{-16}-3×10^{-14}$0.5400-5000
${Cr_{2}O_{3}}$33-1000$10^{-12}-10^{-13}$10-500.02-0.46
NiO1-502-$7×10^{-12}$40-600.01-0.21
CoO0.1$3×10^{-10}$4900.01
FeO0.01$7×10^{-5}$2300000.23
"} {"image_path": "images/1c31cdd6e7a69510f91a349f23c17b7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Star$F_\\nu$ (70 $\\mu$m) Excess$^\\text{a}$(mJy)$ L_{\\text {dust }} / L_{\\star}\\ (70\\ \\mu \\mathrm{m}) $$L_{\\text {dust }} / L_{\\star}\\ (10-70\\ \\mu \\mathrm{m})$
HD 757014 ± 6$ 0.38\\times 10^{-5} $$0.43 \\times 10^{-5}$
HD $69830^{\\mathrm{b}}$<3$ <0.5 \\times 10^{-5} $$ 20 \\times 10^{-5} $
HD 7615116 ± 4$ 1.0\\times 10^{-5} $$ 1.2\\times 10^{-5} $
HD $72905^{\\mathrm{c}}$24 ± 4$ 1.2 \\times 10^{-5} $$ 2.9 \\times 10^{-5} $
HD 12831118 ± 4$ 2.6 \\times 10^{-5} $...
HD 20686015 ± 4$ 0.92\\times 10^{-5} $$0.7 \\times 10^{-5}$
"} {"image_path": "images/5e007049023c2e46a9fb740f36dbe94b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Flow geometryEquation for $f_u$PlanarAxisymmetric
(16)(17)(16)(17)
Constraint equation(12')(14')(12')(14')(12')(14')(12')(14')
$\\beta$1.321.411.351.381.161.221.191.24
$\\mathbf{\\epsilon}_{a}/\\epsilon_{u}$1.761.991.821.901.361.491.421.54
"} {"image_path": "images/9636c13402f70992561b3a2e16f18774.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MeshReference$λ_{11}$$λ_{12}$$λ_{13}$$λ_{21}$$λ_{22}$$λ_{23}$
2 × 2$D11-C^0$9.67216.2136.9443.2850.6772.70
$D17-C^1$ 9.66116.1636.8042.92 50.6669.99
$ACM^{27}$9.88733.93
$Negm^{19}$9.81236.15
$Papenfuss^{28}$9.70337.98
3 × 3$D11-C^0$ 9.64016.1536.8539.4247.2071.22
$D17-C^1$9.63716.1436.7639.3647.0270.26
4 × 4$D11-C^0$9.63416.1436.7839.1046.9070.94
D17-$C^1$9.63316.1436.7539.0846.8370.59
$ACM^{27}$9.71335.79
$Negm^{19}$ 9.67736.52
$Papenfuss^{28}$ 9.64838.23
5 × 5$D11-C^0$9.63316.1436.7539.0146.8170.84
$D17-C^1$9.63216.1336.74 36.7439.0046.7770.68
6 × 6$D11-C^0$9.63216.1436.7438.9846.7770.79
$D17-C^1$9.63216.1336.7338.9746.7670.71
8 × 8$D11-C^0$ 9.63116.1336.7338.9646.7570.76
$D17-C^1$ 9.63116.1336.7338.9546.7470.73
$ACM^{27}$9.65336.45
$Negm^{19}$9.64336.65
$Papenfuss^{28}$9.64337.97
Classical $solution^{12}$9.63116.1336.7338.9546.7470.74
"} {"image_path": "images/c8a117a1ac3a02b9803027d93e600b5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
P.s and $c^2$ for some simple directions of propagation
DirectionofPropagationLongitudinal Transverse (1) Transverse (2)
$\\varrho {c_l}^2$P .s$\\varrho c_{t_1}{ }^2$P .s$\\varrho c{~~}^2$P .S
1, 0, 0$c_{11}$0$c_{44}$0$c_{44}$0
1, 1, 0$\\frac{1}{2}(c_{11}~+~c_{12}~+~2c_{44})$0 $c_{44}~+~4 \\pi e_{14}{}^2/\\varepsilon$$\\frac{e_{14}}{\\varepsilon}~\\frac{2 \\pi \\sigma}{\\sqrt{m_1~+~m_2}}$$\\frac{1}{2}(c_{11}~-~c_{12})$0
1, 1, 1$\\frac{c_{11}~+~2c_{12}~+~4c_{44}~+~16 \\pi e_{14}{ }^{2}/\\varepsilon}{3}$$\\frac{e_{14}}{\\sqrt{3~\\varepsilon}}~\\frac{4 \\pi \\sigma}{\\sqrt{m_1~+~m_2}}$$\\frac{c_{11}-c_{12}+c_{44}}{3}$0$\\frac{c_{11}-c_{12}+c_{44}}{3}$0
"} {"image_path": "images/3cb1e1da8267038083fe0ef09e0c9e9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablePercentileBIIPFRMESCAlMDEA
DJF
T2min median15.92.65.33.05.30.51.0-0.3
55.32.23.43.45.10.50.6-0.7
502.91.02.61.53.11.50.3-0.1
T2min range16.65.95.76.49.911.39.79.9
55.95.16.84.25.18.28.85.0
503.03.72.91.93.65.25.04.0
JJA
T2max median50-1.21.40.2-1.4-2.6-1.30.70.6
95-2.21.10.7-0.2-3.30.20.92.6
99-2.80.60.80.5-3.30.80.23.0
T2max range502.93.25.85.21.95.65.65.3
953.76.56.45.44.09.09.06.5
996.87.98.27.55.210.410.47.6
"} {"image_path": "images/13a319187167d900ba0edca134e9d70e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
b/Ra/R$Z_{o}^{-}$$Z_{o}^{+}$$~Z_{o}=$$\\frac{Z_{\\mathrm{o}}^{-}+Z_{\\mathrm{o}}^{+}}{2}$$e\\%=[\\frac{Z_{\\mathrm{O}}-Z_{\\mathrm{O}}^{+}}{Z_{\\mathrm{O}}}]$. 100%
2.02.041.53941.58941.5640.060
2.244.21844.38044.2990.183
2.446.40446.80946.6060.435
2.648.21048.94648.5780.757
2.849.72850.83950.2831.105
3.051.01852.44551.7321.379
3.03.065.45565.91665.6850.351
3.569.58570.36569.9750.557
4.072.64473.93773.2900.883
"} {"image_path": "images/44c70bd9a174b15d042a821e4f7e81dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
N25501002550100
T505050100100100
$\\% \\hat{r} = r$77.40%$ 87.80\\% $$ 86.00\\% $$ 85.00\\% $$ 88.40\\% $$ 88.00\\% $
$\\rho_1$Bias-0.0021-0.0012-0.0010-0.0023-0.0014-0.0007
RMSE0.01860.01100.00730.01420.00840.0053
$\\rho_2$Bias-0.0010-0.0005-0.0002-0.0006-0.0003-0.0004
RMSE0.01230.00730.00470.00920.00510.0033
$\\gamma_1$Bias-0.0016-0.0007-0.0006-0.0012-0.0010-0.0007
RMSE0.00990.00380.00300.00580.00390.0026
$\\gamma_2$Bias-0.0061-0.0027-0.0017-0.0059-0.0030-0.0024
RMSE0.02360.01330.00740.02380.01370.0091
${\\beta}_1$Bias0.00010.00040.00010.00040.00020.0002
RMSE0.01220.00740.00420.00800.00520.0031
${\\beta}_2$Bias0.00320.00120.00050.00240.00130.0010
RMSE0.01530.00900.00490.01460.00770.0048
"} {"image_path": "images/71d7c7521d06c752a403ea3776db65d7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分类选项休闲价值观内在价值观利他价值观社交价值观外在价值观
父亲学历1-高中/中专以下学历3.864.254.123.654.00
2=大学专科3.864.194.093.703.97
3=本科3.844.184.053.663.98
4=研究生及以上3.894.144.134.034.28
F 值0.132.050.781.791.49
内在排序---4>1*4>1*, 2*, 3*
母亲学历1=高中/中专以下学历3.864.244.123.653.99
2=大学专科3.914.204.083.744.04
3=本科3.794.124.053.653.92
4=研究生及以上4.073.983.933.793.87
F 值1.062.460.751.081.08
内在排序-1>3*---
兄弟姐妹1=没有3.844.204.063.673.98
2=有 1 位3.874.264.133.654.02
3=有 2 位3.894.264.133.684.00
4=有 3 位3.854.214.103.583.90
5=有 4 位3.894.314.183.654.04
6=有 5 位及以上3.814.144.103.603.89
F 值0.773.35**2.131.244.02**
内在排序-1,6<2*, 3*1<2*, 3*, 5*4<1*, 3*4, 6<2*, 3*,5*
"} {"image_path": "images/3748eb4f547861a5e8c932945ce5d42a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SI. no.Experimental conditionProcess model valueExperimental valuePercentage deviation
Welding currentWelding speedAmplitudeFrequency
(a) UTS (MPa)
1802100.44282.64276.002.34
2802100.46284.05310.009.14
3802100.56279.52285.001.94
4802100.66275.00280.001.18
5802100.42281.21280.000.45
(b) Yield strength(MPa)
1802100.44181.76185.001.78
2802100.46186.51205.009.99
3802100.56182.00190.004.39
4802100.66172.50195.0013.40
5802100.42185.01185.000.01
(c) Percent elongation
1802100.4411.9811.008.10
2802100.4612.3213.005.51
3802100.5611.4812.004.52
4802100.6610.7513.002.09
5802100.4211.7511.006.18
(d) Micro hardness (HV)
1802100.44108.34107.001.24
2802100.46108.97121.0011.03
3802100.56107.32115.007.15
4802100.66105.50114.008.05
5802100.42107.15107.000.01
"} {"image_path": "images/bf931476f60c8fa3ed36500bd5536de2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParametersNGenotypes
NormalFrizzledNaked neck
Packed cell volume (%)2035.60±0.38a33.85±0.95b34.65±1.27ab
Haemoglobin (%)2011.98±0.12a11.42±0.31b11.55±0.41b
$\\text{Red blood cell }({mμ/mm}^3)$203.92±0.073.79±0.113.91±0.13
$\\mathrm{White ~blood ~cell ~(no/mm^{3})}$205,560.00±37.285,590.33±36.925,660.00±52.52
Glucose (mg/dl)2066.75±0.68a64.25±1.81b65.05±2.57ab
Albumin (mg/dl)2033.30±0.4132.85±0.9033.30±0.10
Globulin (mg/dl)2022.55±0.25a21.50±0.60b22.30±1.13ab
Urea (mg/dl)2031.90±0.30a30.20±0.87b31.10±1.13ab
Creatinine (mg/dl)201.48±0.02a1.39±0.04b1.39±0.05b
Cholesterol (mg/dl)20163.80±1.84a156.60±4.73b160.30±5.57ab
Mean cell volume (fl)2091.15±1.3289.38±0.9588.70±1.45
Mean cell haemoglobin (pg)2030.67±0.36a30.14±0.26ab29.56±0.43b
Mean cell Hb conc (gm %)2033.69±0.2833.75±0.2733.41±0.46
"} {"image_path": "images/e8b0df3d3f049b35802af580b3047ad2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Molecule2a3aOthers
FRCAEFRCAEFRCAE
$VO_4^{3-}$453408-138-137-26-28
$CrO_4^{2-}$487440-190-175-21-21
$MnO_4^-$497457-250-229-22-10
"} {"image_path": "images/1f901bfbd7bcddebfeb25be93f023daa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
d100You hate or fear...
1heights.
2enclosed spaces.
3being alone.
4spiders.
5undead.
6animated skeletons.
7corpses.
8mice.
9wizards.
10magic.
11getting lost.
12the dark.
13water.
14fire.
15acid.
16snakes.
17orogs.
18dragons.
19trolls.
20lightning.
21boats.
22flying.
23bugs.
24bad luck.
25curses.
26the opposite sex.
27romance.
28love.
29blood.
30slime.
31dancing.
32formal clothing.
33failure.
34embarrassment.
35dishonor.
36getting cheated.
37thieves.
38arrogance.
39sloth.
40being wrong.
41bad manners.
42your past failures.
43low quality gear.
44laws.
45taxes.
"} {"image_path": "images/3ae724360666eb6ba0d0bc94d1c2c0c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
density ofiodide saltsolution($g/cm^3$ at 1 M)density ofiodide saltsolution($g/cm^3$ at 0.9 M)$V_{\\Phi} I^- salt$$(cm^3/mol)$density of triiodidesalt solution at0.1 M in 1 Miodide salt solution($g/cm^3$)$V_{\\Phi} I_3^- salt$$(cm^3/mol)$$V_{\\Phi} cation$$(cm^3/mol)$$V_{\\Phi} I_3^- $$(cm^3/mol)$(3 $V_{\\Phi\\ MI}$ 一 $V_{\\Phi MI3}$)/nF(see eq 5)
LiI1.0941.085381.114106-0.91100.041 mL/C
NaI1.1101.101381.12997.0-1.2990.088 mL/C
KI1.1361.106491.13614110.1300.031 mL/C
TrisHI1.1161.1051301.134242921500.78 mL/C
"} {"image_path": "images/6b539bdf68dbe17b38c4cc4c3435243c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Eqn$\\log k_0$$\\rho_{\\mathrm{m},\\mathrm{p}}$ or $(\\rho_{\\mathrm{l}})_{\\mathrm{ortho}}$$(\\rho_{\\mathrm{R}})_{\\mathrm{ortho}}$$\\delta_{\\mathrm{ortho}}$$R^{\\mathrm{b}}$$s^{\\mathrm{c}}$$n^{\\mathrm{d}}$
5.3 M $\\mathrm{NaCIO}_4$
3-1.091 ±0.0351.63±0.09--0.9890.0939
4-1.022±0.0542.11±0.0902.58±0.130.9940.06711
4-1.101 ±0.1202.19±0.210-1.16±0.130.9720.150$11^\\mathrm{e}$
1.0 M $\\mathrm{Bu}_{4}\\mathrm{NBr}$
3-1.166±0.0362.54±0.09--0.9960.0848
4-1.073±0.1462.35±0.231.18±0.262.84±0.310.9770.15410
4-1.095±0.0682.36±0.111.19±0.12-1.32±0.070.9950.073$10^{\\mathrm{e}}$
"} {"image_path": "images/c5e5ea4ee6d160527b3fb8daaf019fad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2 Weeks5 Weeks
Veh-Sh(n = 10)Veh-Bd(n = 11)Car-Sh(n = 9)Car-Bd(n = 12)Veh-Sh(n = 7)Veh-Bd(n = 9)Car-Sh(n = 7)Car-Bd(n = 10)
BW (g) $32.3 \\pm 1.1$$32.4 \\pm 1.1$$32.3 \\pm 1.2$$32.5 \\pm 1.3$$35.4 \\pm 0.6$$35.7 \\pm 0.5$$35.9 \\pm 0.3$$35.5 \\pm 0.4$
$\\mathrm{LVW} / \\mathrm{BW}\\left(\\mathrm{mg} \\mathrm{g}^{-1}\\right)$$3.2 \\pm 0.1$$4.7 \\pm 0.2^{\\dagger}$$3.3 \\pm 0.1$$3.8 \\pm 0.2^*$$3.4 \\pm 0.3$$5.6 \\pm 0.2^{\\dagger}$$3.3 \\pm 0.3$$ 4.3\\pm 0.2^{*} $
$\\operatorname{CSA}\\left(\\mu \\mathrm{m}^2\\right)$$102 \\pm 4$$152 \\pm 8^{\\dagger}$$96 \\pm 5$$122 \\pm 3^*$$110 \\pm 8$$177 \\pm 9^{\\dagger}$108±5$145 \\pm 4^{*}$
"} {"image_path": "images/9815d3f6bc3d5d83398826e1fa63ea47.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PathGroupHypo.BetaStd. errorT-statisticsP-value
PR $\\rightarrow$ INTAdoptionH1a0.190.101.93*0.056
ContinuanceH1b0.060.170.350.727
RP $\\rightarrow$ INTAdoptionH3a0.310.093.55***0.001
ContinuanceH3b0.130.131.030.306
RP $\\rightarrow$ PBVAdoption-0.160.101.560.122
Continuance-0.310.103.01***0.004
"} {"image_path": "images/ce8226f1a995e91b239b4c896fa2f878.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$[CH_2O]_0,$ppm$[CH_2O]av,^ b$ppm$[Cl_2]_o$,ppmrates, ppm min $^{-1}$$R_{{HCO_{2}H}}/$$R_{{HO_{2}CH_{2}OH}}$
CO${HCO_{2}H}$${HO_{2}CH_{2}OH}$$H_{2}O_{2}$
18.417.15.270.790.200.0620.140.33
26.323.19.81.550.540.130.220.43
19.516.710.01.500.440.130.230.38
18.915.515.02.080.610.170.360.38
19.716.220.52.800.710.230.470.34
18.113.130.04.000.860.370.900.31
21.617.030.04.001.040.370.850.35
19.415.845.05.651.360.491.280.33
20.016.145.05.651.360.491.280.33
"} {"image_path": "images/6f3848cbdf105d8f6582d03c75d021f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
L12023L11251DL22034L22254A
L32048L42071L52056LSR04262E
M12123M22169MACDA23C3MACMA23B0
MAR8B239BMATSDV25E5MCOV 1024CEMCOV22354
MOV2409MOVE20FAMULT2107MULT10249F
MULTP210ENEBIDI24C2NORM2050NUM000B
OUT 12045POSITV244DR12177R22069
RELOC20A4RET120A3REVISE2668ROR123D0
S10017SAVE21E1SAVE9924FDSBEXP21C4
SH4251BSHFT2137SHFT12199SHFTO219A
SIN223ASINO2281SIN12244SIN2225D
SIN32266SIN42278SMCOMP2628SMNOML2612
SQ 12204SQRT21F2STA16001ESUBO1C2474
SUB120E7SUB1CM245CSUBD02510SUBP2081
SUBRO23EDSUBR123DBSUBTR2079T10008
T2001FTAN2309TC21B6TEMP10020
TEMP20025TEMP30028TEMP4002CTEMPS0031
TEMP60032TEMP70037TEMP8003CTEMP90041
TEMPA0045TEMPB004AW102547W62532
WQ252A212178ZERO206AZTST2171
AD 126AFAD226A7AD3269AAD42695
AD5268DLOOPA2659LOOPB266BLOOPC270D
RR 1270BRR22701RR32703
"} {"image_path": "images/a8ff08e2359bc4b87b97243656f900e6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CRITERIONRESULTREJECT POINTCONCLUSION
Scientific:
A) Net $CO_2$ emission
C/H ratio(fixation)n.aC/H ratio decreases-
Heat of reaction(fixation)negative1.25xHr > Hcpass
Process characteristics(off-set)n.a.See table 1.-
B) Chemical feasibility
$\\Delta G _{reactions}$$\\Delta G's$ negative$\\Delta G's$ distinctly +vepass
Effectiveness:
Lifetime (fixation)centuries< 10 yearspass
Market sizehuge, (can be stored)< 2 million tonnes/yrpass
Co-reagents> 10 million Tonnes< 10 million tonnes/yrpass
Overall conclusion :pass
"} {"image_path": "images/58ac689ee0f7906aa91cff4616c62d9f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Parameters setStatisticparameters$\\rho_{\\text{CJ}}$$[\\mathrm{g/cm}^3]$p[kbar]D[m/s]T[K]
BKWG set with the covolumecorrection: $K_{0}{=}k_{f}({\\mathfrak{p}}_{0})$, (EXPLO5)$MV [\\%]$0.66-0.560.231.95
$RMS [\\%]$1.9824.8421.3772.485
BKWG set, with the covolumecorrection: $K_0{=}k_f({\\mathfrak{p}})$, (EXPLO5)$MV [\\%]$-2.70-1.582.220.90
$RMS [\\%]$4.1775.4613.3362.281
BKWC set(Cheetah 2.0)$MV [\\%]$-3.07-2.662.41-0.14
$RMS [\\%]$4.2245.9764.3072.488
BKWG set(EXPLO5)$MV [\\%]$-1.689.286.311.50
$RMS [\\%]$3.53614.3079.5142.418
"} {"image_path": "images/449bb1b8167a20a0cf76e5d07a376927.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
종류$\\text{용량}(\\ell)$추천사양
연료82경유
$엔진 오일^{*1,*2}$(오일필터포함)7.4ACEA C3급 또는 C2급SAE 5W-30
요소수14ISO 22241 또는 DIN 70070
자동변속기오일9.6ATF SP-IV-RR
$브레이크 액^{*3}$필요량SAE J1704 DOT-4LV,ISO4925 CLASS-6,FMVSS116 DOT-4
냉각수14.7에틸렌 글리콜계 알루미늄라디에이터용
디퍼런셜 오일1.3~1.4하이포이드기어 전용 오일,SAE90, API GL-5급
1.7~1.9
트랜스퍼 케이스오일(4WD)상시 4륜1.48~1.68ATF MOBILFLUID LT(무교환 오일)
"} {"image_path": "images/7a1fe182104a644cdf066915ea05d079.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample(mesh)Size (mm)$\\mathrm{Al}_2\\mathrm{O}_3\\%$$\\mathrm{SiO}_2\\%$$\\mathrm{Fe}_2\\mathrm{O}_3\\%$$\\text{TiO}_2\\%$CaO%LOI%
—80 + 100—0.175 + 0.14764.313.62.23.23.712.2
—100 + 115—0.147 + 0.12564.713.52.73.72.812.1
—115 + 150—0.125 + 0.10464.513.32.83.42.612.9
—150 + 170—0.104 + 0.08964.813.72.33.62.712.3
—170 + 200—0.089 + 0.07464.413.92.13.32.612.5
"} {"image_path": "images/9e50b1e98345da6817e551279f850b48.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T (°K)${Q_{NO}}^r$[Rigid rotor]${Q_{No}}^{-r}$[Rigid rotor]$K (cm^{-3})$
193337.6[474.5]865.3[862.3]2.71(18)
285545.0[700.7]1276.4[1273.4]8.07(18)
382772.1[939.2]1709.7[1706.7]1.67(19)
5061068.5[1244.1]2263.7[2260.8]3.14(19)
$K=k_{d}/k_{a}=4(Q_{\\mathrm{NO}}{}^{r}/Q_{\\mathrm{NO}}{}^{-r})(2\\pi mekT/h^{2})^{3/2}\\exp(-\\mathrm{E}.A./kT)$
$=5.016\\times10^{19}({Q_{\\mathrm{NO}}}^{r}/{Q_{\\mathrm{NO}}}^{-r})(T/300^{\\circ}\\mathbf{K})^{3/2}\\exp(-\\mathrm{E.A.}/kT)\\mathrm{cm}^{-3}$
$\\cong2.14\\times10^{-19}(T/300^{\\circ}\\mathbf{K})^{3/2}\\exp(-\\mathrm{E.A.}/kT)\\mathrm{cm}^{-3}$, since the partition function
ratio is only weakly dependent on temperature,
$K^{\\prime}=k_{a}/k_{d}\\cong4.67\\times10^{-20}(300^{\\circ}\\mathbf{K}/T)^{3/2}\\exp(\\mathbf{E}.\\mathbf{A}./kT)~\\mathrm{cm}^{3}.$
"} {"image_path": "images/8845bba83e8fef2ca691537415d87bb0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleDesignationsLocation,Age% Passing#10Sieve$\\mathbf{Asphalt^{\\text{a}}}$%SpecificGravity$Viscosity^b$$\\mathbf{Penetration^{\\text{c}}}$
275°F140°F77°F39.2°F
MH-1,2,3,4Miller Hill Rd,$\\mathbf{\\approx 20\\ years}$425.92.40167.8417.714237
A-1,2,3,4Airport Way,$\\mathbf{\\approx 18\\ years}$445.82.37534.53882.53114
K-1,2,3,4Kantishna Drive,4 years247.92.21161.5330.322432
"} {"image_path": "images/83f56436e66c62d24f9d4a5f496a4d4a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$I_{1}(A)$$I_{2}(A)$$I_{3}(A)$$I_{4}(A)$$I_{5}(A)$$I_{6}(A)$$I_{7}(A)$$I_{8}(A)$
1.6020.0000.0000.0000.0700.7950.145-0.893
$I_{9}(A)$ $I_{10}(A)$ $I_{11}(A)$$I_{12}(A)$ $I_{13}(A)$ $I_{14}(A)$$I_{15}(A)$$I_{16}(A)$
1.1640.0260.0001.027-3.000-0.390-3.0002.352
$I_{17}(A)$$I_{18}(A)$$I_{19}(A)$$I_{20}(A)$$I_{21}(A)$$I_{22}(A)$ $I_{23}(A)$ $I_{24}(A)$
2.062-2.061-2.5780.1893.0001.877-0.8360.730
$T_{x}(mNm)$$T_{y}(mNm)/bias$ $T_z(mNm)/bias$$I_{RMS}(A)$
1.04299.402/0.6%197.915/1.0%1.57(-43.7%)
"} {"image_path": "images/35b48504729d4e1ce16d60132032ee0e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FeatureGrade IIIGrade IV
Age
<5046
50-5952
60-6925
≥7011
Gender
male99
female35
KPS
≤8013
>801110
NA01
Dose
Median33 GyE34.5 GyE
Range30-42 GyE30-42 Gye
Status
PD613
SD40
Lost to FU21
"} {"image_path": "images/12a32d918d72a9e4ba3aae0c510f2ec1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No. of elements$L_2\\text{ error }h$$L_2\\text{ error }hv_1$$L_2\\text{ error }hv_2$$L_2\\text{ error }h~B_1$$L_2\\text{ error }h~B_2$
506.65E-23.13E-16.74E-23.66E-31.38E-1
1003.39E-21.58E-13.43E-21.81E-36.98E-2
2001.97E-27.29E-21.97E-28.82E-43.96E-2
4001.26E-23.37E-21.26E-23.94E-42.51E-2
8007.83E-31.64E-27.80E-31.51E-41.56E-2
16004.57E-38.22E-34.57E-34.97E-59.12E-3
32002.54E-34.15E-32.54E-31.48E-55.07E-3
Avg EOC0.781.040.791.330.79
"} {"image_path": "images/8903bd862f9e24677825dc6334f117dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Conditions$^a$Time (min)Volatile arsenic species$^b$
$\\mathrm{AsH}_3$$\\mathrm{MeAsH}_{2}$$\\mathrm{Me}_{2}\\mathrm{AsH}$$\\mathrm{Me}_3 \\mathrm{As}$$\\mathrm{Me}_{2}\\mathrm{AsOH}$$\\mathrm{Me}_{2}\\mathrm{AsCl}$$\\mathrm{As}_2 \\mathrm{Me}_4$
1 M HCl2-3.710013.42.40.67.3
253.93.510038.50.1-0.4
0.1 M HCl2-1.01000.640.1-0.6
25 12.55.476100--0.3
6511.45.251100---
"} {"image_path": "images/f1f6f2689333ddb398bd50b995f57ccf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaterialCSiMnCrMoWNiPS
$\\omega$ (%)2.8-0.8-1.8-25-0.7-0.9-0.3-
3.01.02.0271.01.30.50.100.06
"} {"image_path": "images/97c1c547cc94f088ca044942f2c17ba2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Exposure Typeoutdoor weatheringoutdoor weathering
Exposure CountryPuerto RicoPuerto Rico
Exposure Note$\\mathrm{total\\ radiation\\ is\\ radiation\\ required\\ to\\ reach\\ 50\\%\\ retention\\ of\\ initial\\ tensile\\ strength}$total radiation is radiation required to reach 70% retention of initialtensile strength, experiment terminated due to lack of further testsamples
Total Radiation (Langleys)48,00059,00093,000113,00055,00059,000176,000>191,000>191,000150,000150,000
"} {"image_path": "images/9577abfe6b8cbb09804b936119bb32f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableYoungOld
Age, yr26±2$72±1\\dagger$
Height, cm174±4171±3
Weight, kg76±583±5
Body mass index24±128±1
Heart rate,beats/min64±362±2
Systolic blood pressure, mmHg124±4128±4
Diastolic blood pressure, mmHg76±277±2
Mean arterial pressure, mmHg91±395±3
Forearm muscle mass, kg0.84±0.080.81±0.05
Lower leg muscle mass, kg2.43±0.16*2.57±0.18*
Hemoglobin, g/dl14.4±0.315±0.2
Triglycerides, mg/dl95±1975±15
Total cholesterol, mg/dl160±19168±13
HDL cholesterol, mg/dl42±568±8
LDL cholesterol, mg/dl99±1681±9
Glucose, fasting, mg/dl94±197±1
"} {"image_path": "images/5dfdfab42db5b736b85d497032c5bc60.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sl no.Amount of nano cerium oxide(%)OCP V vs. SCE$\\text{CCP V vs. SCE at different current densities (mA cm}^{-2})$$\\text{Self-corrosion}\\times10^{-6}g\\ cm^{-2}h^{-1}$Efficiency(%)
11015
10-0.944-0.965-9.922-0.91019.0144.4
20.05-0.953-0.983-0.935-0.93220.8338.4
30.1-0.957-0.972-0.943-0.94022.1463.9
40.2-0.961-0.987-0.954-0.94114.1478.6
50.5-0.955-0.982-0.964-0.94216.2162.6
61-0.967-0.974-0.956-0.95018.3448.5
"} {"image_path": "images/b6ab5ea25b3b2d3a42ca6e1edda71655.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Angle of depression$\\text { Image area}^{\\text {z }} \\text { (dots) }$Correlation coefficient (r)
Fresh weightDry weightLeaf areaPlant height
9752±13220.900.900.880.94
20°9221±14640.890.910.920.97
30°9553±13420.810.830.910.92
45°12328±17960.810.830.870.91
"} {"image_path": "images/f71ecac197fb1d5059b3948f0018198f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StructureEnergy
totalbondangledihedralvan derWaals1-4 electro-staticH bond1-4 vander Waalselectro-staticNOE
AKJ/mol
-4271.40.0334.7853.5-1469.4-4891.1-31.8459.7471.5
B-4265.60.0282.8810.0-1428.4-4886.5-8.4460.4502.9
MDA-4206.227.6327.2811.7-1456.5-4902.8-26.8473.4334.7206.3
MDB-4217.927.2326.8781.2-1427.6-4927.1-29.3472.4362.8193.7
"} {"image_path": "images/08ae6503c3288887d23fd0b09214cbc7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SubstrateProcedureProduct$ \\frac{\\text { Yield }}{\\%} $Time/h(Temp/°C) Analysis/I%Calcd (Found)$ \\begin{array}{l}\\mathrm{Mp} /{ }^{\\circ} \\mathrm{C} / \\mathrm{solvent}^{\\mathrm{a)}} \\\\ \\text { (lit) }{ }^{25}\\end{array} $
$C_6H_6$1bPhI654 (r.t.)62.23(62.08)bp $73—\\mathbf{7 7 / 3 4}$(bp 63—64/8; 188/760)
$C_6H_6$2$ 1,4-I_2C_6H_4 $854 (r.t.)76.95(76.20)129—131/E(129)
PhI1c$1,4-I_2C_6H_4$675 (r.t.)76.95(76.40)129—131/E(129)
PhI3b$1,4-I_2C_6H_4$82 3 (r.t.)76.95(76.63)129—131/E(129)
PhBr1c4- $\\mathrm{BrC}_{6} \\mathrm{H}_{4} \\mathrm{I}$765 (r.t.)44.86(44.80)92—94/E(91—92)
PhBr3a4- $\\mathrm{BrC}_{6} \\mathrm{H}_{4} \\mathrm{I}$853 (r.t.)44.86(44.62)92—94/E(91—92)
PhBr5a4- $\\mathrm{BrC}_{6} \\mathrm{H}_{4} \\mathrm{I}$873 (r.t.)44.86(44.44)92—94/E(91—92)
PhCl1c4-ClC $6 \\mathrm{H}_{4} \\mathrm{I}$735 (r.t.)53.22(52.67)54—55/E(57)
PhCl3a4-$\\mathrm{ClC}_{6} \\mathrm{H}_{4} \\mathrm{I}$563 (r.t.)53.22(52.90)54—55/E(57)
PhF1c$ 4-\\mathrm{FC}_{6} \\mathrm{H}_{4} \\mathrm{I} $705 (r.t.)57.18(56.87)bp 78—80/25(bp 182—184/760)
PhMe1b$ 4-\\mathrm{IC}_{6} \\mathrm{H}_{4} \\mathrm{Me}^{\\mathrm{b})}$554 (r.t.)58.22(57.75)bp 84—88/15(bp l00/25;36—37)
$ \\mathrm{PhN}(\\mathrm{Me})_{2} $1a$ 4-\\mathrm{IC}_{6} \\mathrm{H}_{4} \\mathrm{~N}(\\mathrm{Me})_{2}$651 (5)51.36(50.48)80-81/E(82)
4- $\\mathrm{NO}_{2} \\mathrm{C}_{6} \\mathrm{H}_{4} \\mathrm{OMe}$1d$2-MeO-5-NO_2-$$\\mathrm{C}_{6} \\mathrm{H}_{3} \\mathrm{I}$681 (r.t.)1 (45)45.48(45.06)92—93/E(97)
PhCOOH3c3- $\\mathrm{IC}_{6} \\mathrm{H}_{4} \\mathrm{COOH}$954 (r.t.)51.17(50.92)189—190/C(187—188)
PhCOOH5a3- $\\mathrm{IC}_{6} \\mathrm{H}_{4} \\mathrm{COOH}$934(r.t.)51.17(50.97)188—189/C(187—188)
PhCOOMe3c3- $\\mathrm{IC}_{6} \\mathrm{H}_{4} \\mathrm{COOMe}$874 (r.t.)48.43(48.36)50—52/P(54—55)
PhCOOEt3c3- $\\mathrm{IC}_{6} \\mathrm{H}_{4} \\mathrm{COOEt}$684(r.t.)45.97(46.17)bp 161—162/30(bp 150.5/15)
$PhNO_2$3f$3-\\mathrm{IC}_{6} \\mathrm{H}_{4} \\mathrm{NO}_{2}$864 (r.t.)3 (65)50.96(50.49)37—38/P(38)
$PhNO_2$5c3- $\\mathrm{IC}_{6} \\mathrm{H}_{4} \\mathrm{NO}_{2}$924 (r.t.)3 (65)50.96(50.50)37—38/P(38)
4- $\\mathrm{NO}_{2} \\mathrm{C}_{6} \\mathrm{H}_{4} \\mathrm{Me}$3d$2\\text{-Me-5-NO}_2\\text{-C}_6\\text{H}_3\\text{I}$881 (r.t.)2 (50)48.25(47.78)53—54/E(61)
$PhCF_3$3e$ 3-\\mathrm{IC}_{6} \\mathrm{H}_{4} \\mathrm{CF}_{3} $641 (r.t.)3 (65)46.65(46.18)bp 84—88/40(bp 182—l83/760)
$4\\text{-ClC}_6\\text{H}_4\\text{CHO}$3d4-Cl-3- $\\mathrm{IC}_{6} \\mathrm{H}_{3} \\mathrm{CHO}$918 (r.t.)47.63(47.48)114—116/E(117)
4- $\\mathrm{MeC}_{6} \\mathrm{H}_{4} \\mathrm{COOH}$3d3- $\\mathrm{I}-4-\\mathrm{Me}-\\mathrm{C}_{6} \\mathrm{H}_{3} \\mathrm{COOH}$921 (r.t.)3 (45)48.43(47.37)210—211/C(210—212)
$ 4- \\mathrm{MeC}_{6} \\mathrm{H}_{4} \\mathrm{COOH} $5b3- $\\mathrm{I}-4$-Me- $\\mathrm{C}_{6} \\mathrm{H}_{3} \\mathrm{COOH}$835 (r.t.)48.43(48.01)210—211/C(210—212)
PhCOPh43- $\\mathrm{IC}_{6} \\mathrm{H}_{4} \\mathrm{COC}_{6} \\mathrm{H}_{4} \\mathrm{I}-3^{\\prime}$514 (r.t.) 58.48(58.58)140—142/A(152.5—153.5)
"} {"image_path": "images/d88255a65e9ee77289e506c4a6949bb3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Version namePROSPECT 3PROSPECT 4PROSPECT 5PROSPECT D
Chlorophyllian pigment separation$C_{abc}$ $C_{abc}$ $C_{ab}$ and $C_c$ $C_{a b},~C_c$ and $C_{A n t h}$
References[26][46][46][60]
Brown pigments$C_{bp}$ = 0$C_{bp}$$C_{bp}$ = 0$C_{bp}$$C_{bp}$ = 0$C_{bp}$$C_{bp}$ = 0$C_{bp}$
Abbreviated nameP3P3bP4P4bP5P5bPDPDb
"} {"image_path": "images/03c1c13c87984b51e717aa7b3e6c3cca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\beta^{2}/\\sigma^{2}$θ = 0θ = 0.25θ = 0.75
BUPMPBUPMPBUPMP
0.10.08840.08780.80450.80412.26032.2602
0.20.08840.08790.80450.80422.26032.2602
0.30.08840.08790.80450.80422.26032.2602
0.40.08840.08800.80450.80432.26032.2603
0.50.08840.08810.80450.80432.26032.2603
0.60.08840.08820.80450.80432.26032.2603
0.70.08840.08820.80450.80442.26032.2603
0.80.08840.08830.80450.80442.26032.2603
0.90.08840.08840.80450.80452.26032.2603
1.50.08840.08880.80450.80472.26032.2603
2.00.08840.08920.80450.80492.26032.2603
"} {"image_path": "images/2f1da1fe3be310ad5963a7bfc6a99c94.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
19651983
III
$D_{Pb}$0.140.300.31
$D_{Sr}$0.0230.0350.042
"} {"image_path": "images/46718fa4b81dd8a1b82c7a95dace699d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Polymer blend$\\phi_{PS}~or~\\phi_{dPS}$$X_{12}~(J~cm^{-3})$$Q_{12}~(J~cm^{-3}~K^{-1})$
PS/PVME0.8-6.9-0.010
0.6-5.9-0.009
0.5-5.5-0.008
0.4-4.4-0.006
dPS/PVME0.8-4.80.008
0.6-3.60.011
0.5-2.90.012
0.4-1.60.015
"} {"image_path": "images/a838f98d20f419612fb4ef65084f0e45.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Modelt$\\dagger$Nlog LAICBICLRT$\\ddagger$
Milk
(1) LEG3,3_113-8071·0616168·1216262·20(2-1) 34·05**
(2) LEG3,3_315-8037·0116104·0116212·57(3-2) 9·40**
(3) LEG3,3_416-8027·6116087·2216203·07(4-3)$8·63^{n.s}$
(4) LEG3,3_1022-8018.9816081·9616241·17-
Fat
(1) LEG3,3_11319458·23-38890·46-38796·72(2-1) 112·65**
(2) LEG3,3_41619570·88-39109·76-38994·38(3-2) $4·19^{n.s}$
(3) LEG3,3_61819575·07-39114·15-38984·35(4-3) $2 \\cdot 17^{\\text {n.s }}$
(4) LEG3,3_102219577·24-39110·48-39154·48-
Protein
(1) LEG3,3_11324077·13-48128·25-48034·51(2-1)97·82**
(2) LEG3,3_31524159·43-48288·87-48180·69(3-2) $15 \\cdot 51^{\\text {n.s }}$
(3) LEG3,3_102224174·95-48305·89-48147·24-
"} {"image_path": "images/18beee3d7b65b7d74156f28b41700bf9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ANOVA$^b$ModelSum of squaresdfMean squareFSig.
Regression829.6331829.63316.668$0.002^{\\mathrm{a}}$
Residual547.5061149.773
Total1377.14012
CoefficientsbModelUnstandardized coefficients Standardizedcoefficients $(\\beta)$tSig.
BStd. error
(Constant)45.9504.9739.2400.000
IT investment$7.899 \\times 10^{-2}$0.0190.7764.0830.002
"} {"image_path": "images/e3fef4e03a04a4d74feb324fc00c96cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BeatVLSNSA
Segments coveredNumber of trucksSegments coveredNumber of trucks
11,2,4,5,66111
211,14271
332,33291
424112,14,23,244
523151
630130,32,333
73411,2,3,66
83,7,84311
991101
10101341
CVaR6174.456053.66
Worst-case response time6979.406600.11
Computational time (s)24.196.7
"} {"image_path": "images/f2d09d6b0a8532b83d4a693886284097.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompanyIndustryDividendPayoutDividendYield
I. Companies That Pay High Dividends
WD-40 Company (WDFC)Household products52%2.9%
Empire District Electric(EDE)Electric utility1495.5
Rayonier Inc.(RYN)Forest products715.0
Reynolds American Inc. (RAl)Tobacco products644.7
Regions Financial Corp. (RF)Regional banks594.2
Ingles Markets Inc.(IMKTA)Retail(grocery)505.0
Microsoft Corp (MSFT)Software and programming3431.3
II. Companies That Pay Little or No Dividends
Tiffany and Company (TIF)Specialty retail11%0.7%
Harley-Davidson Inc. (HDI)Recreational products130.9
Aaron Rents Inc. (RNT)Rental and leasing40.3
Delta Air Lines Inc. (DAL)Airline$NM^a$NA
Papa John's Intl.Inc. (PZZA)Restaurants0NA
"} {"image_path": "images/a463fbb8cee6d3c72a640f603f6e8711.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ZQEDMBPT$\\text{MBPT} - (B \\times B)$
20-0.11912-0.11917-0.11920
28-0.11778-0.11784-0.11794
30-0.11731-0.11741-0.11754
32-0.11681-0.11693-0.11709
40-0.11414-0.11449-0.11483
47-0.11078-0.11147-0.11205
50-0.10897-0.10985-0.11056
54-0.10606-0.10732-0.10825
60-0.10064-0.10258-0.10391
66-0.09355-0.09640-0.09824
70-0.08756-0.09125-0.09352
74-0.08044-0.08508-0.08786
79-0.06960-0.07562-0.07915
80-0.06711-0.07345-0.07715
82-0.06183-0.06879-0.07286
83-0.05898-0.06630-0.07056
90-0.03514-0.04509-0.05096
92-0.02676-0.03759-0.04401
1000.015970.00138-0.00781
"} {"image_path": "images/8029dcc10fb561e97f6884289778fadf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x yz$U_{\\text {iso }}\\!{}^* / U_{\\text {eq }} $
N10.14967(13)0.49677(10)0.37289(9)0.0161(3)
C20.13750(15)0.63589(13)0.36852(11)0.0168(3)
C30.17684(15)0.69947(13)0.48064(12)0.0168(3)
C40.22210(15)0.62730(13)0.58375(11)0.0173(3)
H40.24510.67270.6571$ 0.021^* $
C4A0.23457(16)0.48899(13)0.58178(11)0.0169(3)
C50.29860(17)0.41294(13)0.69430(11)0.0197(3)
H5A0.22430.33910.70000.024*
H5B0.30250.47290.7622$\\begin{array}{c}0.024*\\\\ \\end{array} $
C60.46697(17)0.35590(14)0.70100(12)0.0218(3)
H6A0.53150.42310.67030.026*
H6B0.51970.33950.78450.026*
C70.46682(17)0.22636(14)0.63197(12)0.0212(3)
H7A0.57870.19420.64470.025*
H7B0.40550.15870.66510.025*
C80.39649(16)0.23537(13)0.49953(12)0.0199(3)
H8A0.40850.14780.46370.024*
H8B0.45960.30080.46560.024*
C90.21817(16)0.27618(13)0.46552(12)0.0186(3)
H9A0.17080.24670.38410.022*
H9B0.15970.23120.51850.022*
C9A0.19855(15)0.42414(13)0.47385(11)0.0159(3)
C100.17377(16)0.84204(14)0.48160(12)0.0200(3)
N20.12201(15)0.43233(12)0.26182(10)0.0207(3)
H010.090(2)0.500(2)0.2110(18)$\\left(0.036(5)^{*}\\right.$
H020.037(2)0.376(2)0.2551(16)0.030(5)*
N30.17469(17)0.95620(12)0.48127(12)0.0298(3)
O10.09637(12)0.69230(9)0.27097(8)0.0208(2)
"} {"image_path": "images/b8f37ca66d4de9a2cd786445dc5fd632.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TargetPionenergy,Mev$d\\sigma/dEd\\Omega$$×10^{30}$(uncor-rected),$cm^2$${MeV}^{-1}$${sterad}^{-1}$ Thicktargetcorrectionfactor$d\\sigma/dEd\\Omega$$×10^{30}$(cor-rected),$cm^2$${MeV}^{-1}$${sterad}^{-1}$Prob-ableerror$×10^{30}$,$cm^2$${MeV}^{-1}$${sterad}^{-1}$
$CH_2$20.03.031.113.8±0.4
21.03.161.093.8±0.4
22.53.981.084.7±0.4
24.56.811.078.0±1.0
25.06.191.077.3±0.7
27.04.301.075.1±0.7
28.52.701.063.2±0.6
C26.03.211.083.8±0.3
"} {"image_path": "images/41792f9f7c84da4889022eff0a28a4bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OR (95% CI)P value
Age, yr
Group A (41-59)1.28 (0.35-4.70)0.71
Group B (59-76)1.33 (0.37-4.71)0.66
DM duration, yr
Group A (40-7)4.42 (1.83-10.69)<0.01
Group B (7-0)1.23 (0.23-6.57)0.81
Stimulated C-peptide, ng/mL
Group A (1.0)4.18 (1.40-12.51)0.01
Group B (1.0-2.0)3.35 (1.09-10.25)0.04
"} {"image_path": "images/e40035f0fd979de3e2e3acbe19333265.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$2a^∘$x*mm
6080100120
-315.119.023.427.4
015.019.723.825.9
415.620.524.828.7
816.219.224.026.8
"} {"image_path": "images/f73b32a10660a12c44650a91c1078b70.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Power-law index $\\alpha$$P_{tr}(X)$$f_{\\alpha}$Max X for % error
$\\leq1\\%$$\\leq5\\%$$\\leq10\\%$
-3$\\frac32(X-\\frac{X^3}3)$3/20.170.380.52
-2$\\frac2\\pi(X\\sqrt{1-X^2}+\\arcsin X$ 4/$\\pi$0.240.520.71
-1X1
0$\\frac2\\pi\\arcsin X$2/$\\pi $0.240.520.71
1$\\frac{arctanh X}{\\arctan(\\cos i_{\\min})}$$[\\operatorname{arctanh}(\\operatorname{cos}i_{\\min})]^{-1}$0.170.380.53
2$\\frac X{\\sqrt{1-X^2}}\\tan i_{\\min}$$\\tan i_{min}$0.140.310.44
3$\\frac{\\text{arctanh} X-\\frac X{X^2-1}}{\\text{arctanh}(\\cos i_{\\min})+\\cot i_{\\min}\\csc i_{\\min}}$ $2[\\operatorname{arctanh}(\\operatorname{cos}i_{\\min})+\\operatorname{cot}i_{\\min}\\operatorname{csc}i_{\\min}]^{-1}$0.120.270.38
"} {"image_path": "images/a113e80d94968bd572b9f3a50599b676.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Atomxyz$U_{\\mathrm{eq}}~^{\\mathbf{a}}$
Os(1)1227(1)6133(1)5952(1)28(1)
Os(2)-52(1)5890(1)2781(1)28(1)
Os(3)3171(1)6546(1)3925(1)28(1)
O(1)-1319(17)5699(6)7793(13)76(6)
O(2)938(17)7228(5)7209(13)63(5)
O(3)4966(15)5983(5)8461(12)60(4)
O(4)-3671(15)5223(5)1721(13)60(5)
O(5)-1681(20)6744(6)411(14)77(6)
O(6)1901(16)5385(5)601(13)61(5)
O(7)3797(21)6692(5)748(14)76(6)
O(8)6543(17)7201(6)5835(16)82(6)
O(9)308(17)7474(5)3577(13)58(5)
O(10)5483(15)5508(5)4716(14)61(5)
O(11)1277(12)5397(4)4745(9)32(3)
C(1)-368(19)5861(6)7071(13)40(5)
C(2)1044(19)6823(7)6710(14)41(5)
C(3)3592(23)6037(5)7533(16)43(5)
C(4)-2351(20)5456(6)2152(16)40(5)
C(5)-1096(18)6414(7)1330(16)46(5)
C(6)1130(21)5576(6)1392(15)42(5)
C(7)3553(22)6646(6)1941(16)42(5)
C(8)5271(22)6959(7)5172(18)49(6)
C(9)1376(18)7134(6)3701(15)35(4)
C(10)4626(21)5880(6)4417(15)36(5)
"} {"image_path": "images/dc018b1cc12e76381f512cd98ff5e06b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StarSpectraltypeAprox-imatedistancePeriod(days)e Correctedradial velo-city $V_{R}$$(km \\ s^{-1})$$\\frac{|V_{R} |}{\\langle V_{r} ^{2}\\rangle^{\\frac{1}{2}}}$
HD 40005B3V430 pc3.306(0.037)+50.5
201 G SgrA3III140 pc 4.625(0.049)+181.2
HD 191473BO.5V 1,500 pc4.28760.070+20.2
HD 198784B3440 pc3.30353(0.024)+101.1
HD 209961B2V460 pc 2.1721(0.0)-30.3
"} {"image_path": "images/4eaf72cf594dc23ab4f9c4a3a145e796.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
입종201820192020202120222023'21~'23합계’21~’23비중
금융·보험30.344.651.957.760.291.9209.931.5
제조59.849.79.058.172.950.5181.627.2
도소매·자동차수리13.014.925.132.036.519.387.713.2
운송·보관2.21.19.225.525.115.065.69.8
부동산11.19.79.09.38.712.530.54.6
기타28.744.316.225.125.740.691.513.7
함계145.1164.4120.4207.7229.2229.8666.7100.0
"} {"image_path": "images/2b57762b2fd83bef3df597ce92efb37e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OxidizerFurfuralazine (I)di-Furfurylidenecyclo-hexanone (Il) orfurfurylideneaceto-phenone (III)N-Furfurylidene-aniline (IV)CNSL (V)
$HNO_3$ with 5% waterhypergolichypergolichypergolichypergolic
$HNO_3$ with 15% waternonhypergolic,vigorous reactionhypergolichypergolic withdelayoccasionally hypergolic
$HNO_3$ with 21% waternonhypergolic,reaction onlyhypergolichypergolic withdelaynonhypergolic,vigorous reaction
$HNO_3$ with 27% waternonhypergolichypergolic withdelaynonhypergolic,vigorous reactionnonhypergolic
$HNO_3$ with 30% waternonhypergolicvery weaklyhypergolicnonhypergolicnonhypergolic
RFNAhypergolichypergolichypergolichypergolic
$N_{2}O_4$hypergolicnonhypergolichypergolichypergolic
"} {"image_path": "images/35d6235d94f837c690ddae38d2c0c49d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科目名稱中文名稱船藝學Ⅰ Ⅱ
英文名稱Seamanship I II
科目屬性必/選修□必修 ■選修
□一般科目 ■專業科目 □實習、實驗科目
科目來源□群科中心學校公告--課網小組發展建議參考科目■學校自行規劃科目
適用科別航海科航海科
學分數12
開課年級/學期第一學年第一学期第一學年第二学期
教學目標一、符合1978年航海人員訓練、發證及當值標準國際公約及其修正案「操作級」有關之能力。二、涵蓋國際海事組織典範課程7.03 「負責航行當值航行員」中「救生操作與應用」、「船舶滅火防止與控制」等課程及我國特種考試航海人員考試二等船副專業科目中「航行安全與氣象概要」、「船舶操作與船上人員管理概要」所規定之相關細目。
教學內容一、救生操作與應用(1)個人救生設備。(2)救生艇筏與救難艇。(3)救生設備保養與檢查。(4)海上求生與演習佈署。二、船舶滅火防止與控制(1)滅火原理。(2)火的分類與滅火劑的應用。(3)船舶火災原因。(4)滅火設備與方法。三、繩索(1)繩索與鋼索的構造與性質。(2)各式索結與插繩。3)繩索的強度計算。
教材來源一、教育部我國航輪教材編撰計畫「船舶管理與安全」、「航行安全」。 二、周和平「船藝學」周氏兄弟出版。三、華香園出版「船藝學」。
教学注意事項一、教材編選:參考船藝學編選教材。二、教學方法:利用影片、船舶圖片、船舶模型等加強教學效果。三、教學評量:以隨堂考試及定期考試之成績作為評量參考。四、教學相關配合措施:安排參觀商船,增加教學。
"} {"image_path": "images/022e4bb4a4c7d3eed27886e53de63cd7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SystemT/K
293.15298.15303.15308.15313.15318.15
Glycine + 2.5% aq.-D-xylose0.03170.03100.03020.02950.02880.0281
Glycine + 5% aq.-D-xylose0.03160.02980.02800.02620.02440.0226
L-Alanine + 2.5% aq.-D-xylose0.04320.04070.03830.03590.03340.0310
L-Alanine + 5% aq.-D-xylose0.04020.03780.03550.03310.03080.0284
L-Valine + 2.5% aq.-D-xylose0.03140.03140.03140.03140.03140.0314
L-Valine + 5% aq.-D-xylose0.02580.02630.02670.02710.02760.0280
L-Isoleucine + 2.5% aq.-D-xylose0.03330.03390.03460.03520.03580.0364
L-Isoleucine + 5% aq.-D-xylose0.03030.03030.03040.03040.03040.0304
"} {"image_path": "images/9dcdea1a76ca2eda8ed1f51f9a9670bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Concentration(%)BETsurfacearea$\\left(\\mathrm{m}^2 / \\mathrm{g}\\right)$Microporesurfacearea$\\left(\\mathrm{m}^2 / \\mathrm{g}\\right)$Totalporevolume$\\left(\\mathrm{cm}^3 / \\mathrm{g}\\right)$Microporeporevolume$\\left(\\mathrm{cm}^3 / \\mathrm{g}\\right)$
$\\mathrm{ZnCl}_2$
58154230.520.24
1011645810.630.31
2018377980.930.45
3019528120.960.47
$\\mathrm{H}_3 \\mathrm{PO}_4$
107493740.450.21
209864830.520.26
3013076600.640.32
4015637720.770.39
KOH
59424610.540.28
1014086050.710.40
2012054840.600.29
3010464170.580.26
"} {"image_path": "images/6b4aff70b1e6926b95e4bba17a014a7b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NO.Control factorsLevels
123
ACoated SiC mesh# 1000# 3000
B Impact angle,°304560
CStand-off distance, $\\mathrm{mm}$305070
DJet pressure, MPa0.40.50.6
EPlatform revolution, r/min50150250
"} {"image_path": "images/f49d3207a00872f266bd0b6f57897187.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
处理放牧强度(只/$\\text{hm}^2$) 日期(月 . 日)采食时间( 分 )采食速度( 口 / 分 )每百口采食量(g)日采食草重(g)
鲜重风干重
E0.4509.5370.253.321.804301.042395.25
9.16365.042.122.083393.301889.73
平均367.647.721.943847.172142.49
D0.6009.5364.054.221.784296.932392.96
9.16380.741.620.643268.781820.38
平均372.447.921.213782.862106.67
C0.750 9.5431.846.617.983617.582014.63
9.16429.849.818.063865.932152.94
平均430.848.218.023741.762083.79
B1.0509.5455.853.214.113421.771905.58
9.16470.352.614.373555.121979.85
平均463.152.914.243488.441942.72
A1.5009.5492.859.212.623681.722050.35
9.16496.849.012.503042.901694.59
平均494.854.112.563362.311872.47
"} {"image_path": "images/91e0b7b123a25bd5d69039126dee8ad5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Age (days)Pressure (MPa)$K_{p}$ (GPa)$K_{s}$ (GPa)
0.5 w/c paste
36.901.7947.90
36.902.3854.80
84.418.3837.70
116.908.9551.10
146.908.6942.60
0.5 w/c concrete
76.9014.7046.00
146.9016.1063.00
0.4 w/c paste
52.091.4753.60
112.727.7447.70
144.2512.1044.30
0.6 w/c paste
326.905.1747.90
"} {"image_path": "images/596bdafcb69ac5875ff1035c5c9324c1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
k, ${min_{-1}$0.01120.01200.03250.0535
T, K730750770790
"} {"image_path": "images/83a3b8360e21d9ecb85213b62f95bdbb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cases:
C1C2C3C4 C5 C6C7
N20201010101010
α4.04.03.03.02.02.02.0
$H_{j}$ ,kmol0.0050.0050.010.010.010.010.01
$\\mathrm{H}_{C}$ ,kmol0.0250.0250.10.10.10.10.1
$x_{F}$,hr0.0050.0050.050.050.50.50.5
Specifications:
$x_A^{spec}$0.50.90.990.950.950.990.9
$\\%$ light recovery905075-7590-
$x_R^{spec}$0.00010.010.050.010.050.10.01
$\\%$ heavy recovery90--9075-90
Results:
$x_{A}$,hr0.5000.9000.9900.9500.9500.9900.955
% light recovery90.0050.0075.009.8875.0090.0083.04
$x_{R}$,hr0.000100.00250.0130.0100.0500.0920.010
$\\%$ heavy recovery90.0099.9799.9690.0075.0099.0990.00
$x_{off}$,hr0.0043--0.2770.500-0.725
$t_{\\text{startup}}^{opt},\\ \\text{hr}$0.8860.5560.1830.1620.0310.0770.035
$t_{1}$,hr0.0090.0032.2850.00081.6524.6742.178
R_{1},hr0.01*0.01*0.9830.3420.7610.9030.800
$t_{2}$,hr0.387000.6990.86001.963
$R_{2}$,hr0.754--0.8060.755-0.944
$t_{\\text{tot}}^{opt},\\ \\text{hr}$1.2820.5592.4680.8622.5434.7514.175
$t_{\\text{startup}}^{opt}/t_{\\text{tot}}^{opt} \\cdot 100\\%$69.1%99.5%7.4%18.8%1.2%1.6%0.8%
$x_D\\left(t_{tot}^{opt}\\right)$0.99840.99270.98410.96090.82460.97250.8450
$x_D^{ss}$0.99950.99950.99980.99980.99950.99950.9995
approach to eq.99.9%99.3%98.3%95.9%65.0%68.7%69.0%
"} {"image_path": "images/1a2498766ec3e58ee610d1887c6303f0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ServicesF (sum)SC (sum)Municipalities
FMC
ijij
a30 $(F_1)$1255255
b201.510101515
c10328624
"} {"image_path": "images/256cff191822b35de6b381d1c5689075.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项 目允许偏差(mm)检验方法
大理石磨光花岗岩蘑菇石
1垂直度室内3.03.0-用 2m 托线板和尺量检查
室外3.53.5-
2平整度22- 用2m直尺和楔形塞尺检查
3阳角方正2.52.5-用 200mm 方尺检查
4格缝平直2.52.55.0 用仪器或拉 5m 线,不足5m 拉通线检查
5接缝高低差0.50.52.0用直尺和楔形塞尺检查
6格缝宽度1.01.02.0尺量检查
"} {"image_path": "images/9abb1217e45e470497fc08cd396b0ffd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Electron acceptorConcen-tration($\\mu$M)Activity[nmol $F_{420}$ $H_{2~oxidized}$ min$^{-1}$ (mg protein)$^{-1}$]
$H_2+CO_2$-grown cellsFormate-grown cells
Mem-branesCyto-plasmMem-branesCyto-plasm
Methyl viologen + metroindazole150/7504519643187
$NADP^+$150< 1< 1< 1< 1
$NAD^+$150< 1< 1< 1< 1
FMN1023ND2791
2,3-Dimethyl-1,4-naphthoquinone10051ND58228
Tetramethyl-p-benzoquinone10038ND44172
Cystine20< 1< 1< 1< 1
CoM-S-S-HTP18050< 149< 1
"} {"image_path": "images/04528b378b6cd53b190c19902f5b2f89.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
System$N_{s}$molecules/$cm^{2}$$\\beta$$\\theta $Structure
Pt—CO1.0 × $10^{15}$1.20 ~1.0linear
Pd—CO1.2 × $10^{15}$2.20 ~0.5bridged
0.80.5~1.0linear
Ti—CO1.6 × $10^{15}$2.00 ~0.5bridged
1.40.5~1.0linear
"} {"image_path": "images/a6418da5f80452f7b3cff1efdcfb9d45.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SolidsG/N ratioPeak height (a.u.)
$I_{220}$$I_{400}$$I_{440}$
C20.6711717
C31.33122118
C42.00132222
C52.67121020
"} {"image_path": "images/31b67ab9e3493923a926f5dcaec65f58.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Drag Measurements with Trim & Sinkage
ConfigurationsInterceptor Heights (mm)
Full1246--
Keel1246810
Middle1246810
Chine-246810
Bare Hull0
"} {"image_path": "images/905fc10389bd567d1bd530fdcc7ccb83.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Independent variablesSymbolsLevels
UncodedCodedUncodedCoded
Roasting temperature (°C)T$X_1$1581.4142
1501
1300
110-1
102-1.4142
Exposure time (min)t$X_2$441.4142
401
300
20-1
16-1.4142
"} {"image_path": "images/9b154a4b9db846a0ee3a97f3d35b81c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MethodNumber of iterations
N = 150N = 291N = 384N = 600
BiCGSTAB22222828
GMRES(5)10121418
GMRES(10) 4 4 5 6
GMRES(20) 2 2 2 2
"} {"image_path": "images/98191b5fb57738bbe612c30b87be4f9b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$l/d$$\\mathrm{gn/ωUa}$$F/\\omega Um$$M/\\omega Umd$
$\\omega/\\omega_1=1.0$$\\omega/\\omega_1=1.2$$\\omega/\\omega_1=1.0$$\\omega/\\omega_1=1.2$$\\omega/\\omega_1=1.0$$\\omega/\\omega_1=1.2$
0.025.02.622.02.89.21.4
0.124.72.417.62.67.61.2
0.223.62.413.52.46.51.4
0.319.32.59.72.35.41.4
"} {"image_path": "images/7cf02cc0c5d7ca05ea60029df061be88.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1st pair$2^{n d}$ pair3rd pair4th pair5th pair6th pair
Tuning note$B_4$$A_4$E$_4$$B_4$$A_4$$D_4$
$B_4$$A_4$E$_4$$B_3$$A_3$$D_3$
$f_s~[\\mathrm{Hz}]$493.88440329.63493.88440293.66
493.88440329.63246.94220146.83
$\\rho_{s}~\\left[10^{-4}\\mathrm{~kg} /\\mathrm{m}\\right]$ 3.783.946.203.783.9411.30
3.783.946.2014.4821.2235.36
D [mm]0.240.250.320.240.250.44
0.240.250.320.50.640.79
$(y_s,z_s)$ [mm](-28.6,16.0)(-19.0,16.0)(-9.3,16.0)(0.0,16.0)(9.5,16.0)(19.8,16.0)
(-25.5,16.0)(-15.6,16.0)(-6.2,16.0)(3.1,16.0)(12.8,16.0)(23.3,16.0)
$N_s$14152114/2815/3123/47
"} {"image_path": "images/588ed403d16572317acc12793d7d211c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ML2000400060008000
$A_0$30.039980.160.360.64
50.00160.0260.130.41
70.000060.0040.0470.262
$A_1$30.040.160.360.64
50.00160.02560.12960.4096
70.000060.00410.046560.2621
$A_2$30.0380.150.340.606
50.00110.0180.08990.284
70.000020.00140.01620.091
$A_3$30.0360.1430.3220.573
50.00070.01150.05830.184
70000
$A_4$30.03360.1350.3030.539
50.000420.00680.0340.108
70000
"} {"image_path": "images/5f5c18224eabb618c93f1d35ce8a56ad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
d/mmb/mm$\\epsilon_{\\mathbf{lt}}^\\mathrm{th}$$\\epsilon_{\\mathbf{tl}}^\\mathrm{th}$
0.50.150.1130.059
0.50.250.1070.075
0.50.50.0940.094
0.51.00.0750.107
0.51.50.0620.112
0.150.50.0590.113
0.250.50.0750.107
0.50.50.0940.094
1.00.50.1070.075
1.50.50.1120.062
2.00.50.1150.053
"} {"image_path": "images/aea02514a220805146e33be552437e5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterValueUnitEquationPhysical meaning
$E_0$2.93 ± 0.02eV(2)Exciton energy in unstrained QW
$B_m$477 ± 26meV(3)Strain-induced red-shift in a planar QW
κ0.037 ± 0.007$nm^{-1}$(3)1/κ : strain-relaxed region width in a nanodisk
$\\gamma_{\\text{r}0}$59 ± 24MHz(5), (8)Radiative decay rate at T $\\rightarrow$ 0
Δ8.6 ± 1.4meV(5), (8)Scattering-induced linewidth
$c_1$15 ± 7m/s(5), (9)$c_1$/4 : $surface recombination velocity of unstrained InGaN atzero temperature
$c_2$0.0020 ± 0.0008none(5), (10)$c_2v_B/4$ : thermally induced surface recombination velocity of unstrained InGaN
$c_3$0.33 ± 0.06none(5), (10)Potential-height factor for $\\gamma_{thm}$
"} {"image_path": "images/92742340888c7badba706276876ba6a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
m3456789101112131415
RI0.580.901.121.241.321.411.451.191.511.481.561.571.59
"} {"image_path": "images/688784b9dea70ddfd1f15c042774370a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T (K)P = 0P = 25 bars
$\\tau_{RP}$$\\tau_{RP}$$\\tau_{RP}$$\\tau_{RP}$
0.45$1.5 × 10^{-6}$$1.9 × 10^{-2}$$7.8 × 10^{-5}$$9.9 × 10^{-3}$
0.5$7.0 × 10^{-7}$$1.7 × 10^{-3}$$3.7 × 10^{-5}$$1.2 × 10^{-3}$
0.55$3.6 × 10^{-7}$$2.3 × 10^{-4}$$1.9 × 10^{-5}$$2.2 × 10^{-4}$
0.6$2.0 × 10^{-7}$$4.2 × 10^{-5}$$1.0 × 10^{-5}$$4.9 × 10^{-5}$
0.65$1.1 × 10^{-7}$$9.5 × 10^{-6}$$6.0 × 10^{-6}$$1.4 × 10^{-5}$
0.7$6.7 × 10^{-8}$$2.6 × 10^{-6}$$3.5 × 10^{-6}$$4.4 × 10^{-6}$
0.75$4.1 × 10^{-8}$$8.4 × 10^{-7}$$2.2 × 10^{-6}$$1.6 × 10^{-6}$
0.8$2.6 × 10^{-8}$$3.0 × 10^{-7}$$1.4 × 10^{-6}$$6.7 × 10^{-7}$
"} {"image_path": "images/713c0e8ca930a4d99684c8fa4a9cced3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
种类和年度总预算百分比
2003200420052003 - 2005
行动一——监控和比较执行情况12%14%14%40%
行动二——推广优秀实践经验8%10%12%30%
行动三——分析和战略性讨论2%3%3%8%
行动四——促进网络和信息安全17%5%0%22%
总百分比39%32%29%100%
"} {"image_path": "images/3928a36dc881eaf62d02e78036ea7de3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model$\\mathrm{Log1/GC}_{50}$Outliersn$r^2_{\\mathrm{~~adj}}$SEFp<
1$ \\begin{array}{rlr}&{}&{0.69\\log{K_{ow}}+2.28}\\\\ &{}&\\end{array} $2-Hydroxy-5-chlorobenzoicacid; salicylic acid; 3-hydroxybenzoic acid310.480.2726.80.00002
2$0.75 \\log K_{\\text {ow }}+2.04$2-Aminophenol; 1,4-naphthaquinone280.5690.2534.30.000004
3$0.87 \\log K_{\\text {ow }}+2.11$4-Chloro-2-nitrophenol;4-fluoro-2-nitrophenol260.7960.1699.50.0000001
4$0.91 \\log K_{\\text {ow }}+2.12$Hydroquinone; 2-nitrophenol240.8380.14122.30.0000001
5$0.94 \\log K_{\\text {ow }}+2.04$No outlier220.8900.10129.50.0000001
"} {"image_path": "images/2e7247c6ad7ecfa4f328a8f6a42aaf59.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
APropane BIsobutane Cn-Butane DIsopentane En-PentaneQuantity
Feed45.36136.08226.8181.44317.52907.2
Product 120100100150100470
Product 225.3636.08126.831.44217.52437.2
$\\text{(b) } 1/\\ln\\alpha \\text{ for } S_i\\ (T = 350\\ \\text{K})$
Separation$S_1$$S_2$$S_3$$S_4$
1 /ln $\\alpha$1.193.661.264.72
"} {"image_path": "images/8010df952e60115f5c5dc99b2369cdc8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Param-eterValues of parameters for test No.
for Fig. 3for Fig. 4
1234512345
$\\lambda, sec ^{-1}$110171,5109,2394,3284,5152,2164,4130,7160,5302
C. $\\mathrm{mm}^{-2}$4014,514,75,469,115,216,41455450
"} {"image_path": "images/413838884d4f6111016df6831a300f96.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DataSeta$Noise\\\\level~(\\sigma)$C-selection$\\varepsilon $-selectionPredictionrisk%SV
110.21.5800.0129100
0.20.006543.3
21021501.3043100
2.00.705336.7
30.10.020.160$1.03 × 10^{-4}$100
0.02$8.05 × 10^{-5}$40.0
4-100.214.900.0317100
0.20.026550.0
5-0.10.020.170$1.44 × 10^{-4}$100
0.02$1.01 × 10^{-4}$46.7
"} {"image_path": "images/ecf08e61142f12f33887362c51fa644e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
能力指标名称单位比重标准值实际值实得分备 注
营运能力存货周转率1053.406.80
应收账款周转率1055.2610.52
偿债能力流动比率%10200102.735.14
资产负债率%108065.0612.30逆指标反运算
获利能力销售利润率%10107.637.63
资产报酬率%5612.297.56过高值调整 9.07
股东权益报酬率%52521.814.36
增值能力销售成本率%106077.987.69逆指标反运算
固定资产净值率%107082.3211.78
发展能力销售额增长率%1010-22.650
利润增长率%510-41.420
资本保值增长率%5110133.306.06
合 计10079.84
"} {"image_path": "images/fde7111eb38c03ed769f9e0c4e30ae4f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$H_2hbpp$$[Mn(Hhbpp)_2]$$[Zn(hbpp)(DMSO)]_2$
Bond lengths $(\\mathring{\\mathrm{A}})$
Mn-O(1)1.909(2)Zn-O(3)1.9936(17)
Mn-O(3)1.829(2)Zn-O(4)2.0054(19)
Mn-N(2)1.962(2)Zn-O(1)2.0342(17)
O(1)-C(7)1.245(5)O(2)-C(2)1.347(4)Zn-O(3a)2.0424(17)
O(3)-C(10)1.348(6)O(1)-C(7)1.297(3)Zn-N(2)2.063(2)
O(2)-C(2)1.362(6)O(3)-C(10)1.336(3)O(3)-C(10)1.346(3)
N(1)-C(7)1.351(5)N(1)-C(7)1.306(3)O(1)-C(7)1.274(3)
"} {"image_path": "images/451caf487e56646dd305d8b828d3efc7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Saline Score(observed)Drug Score(observed)Drug Score(expected)Regession DeviationScoreDifferenceScore
$S_i$$D_i$$D_i$$D_1 - \\hat{D}_1$$D_i~-~S_i$
312.6-1.6-2
442.8+1.20
553.0+2.00
623.2-1.2-4
733.4-0.4-4
"} {"image_path": "images/baa8396b1cef66bf073910385d091c57.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleCertified Conc$(ng~mL^{-1})$Added$Found^a$Recovery (%)
NIST-1640 A (Natural water)$3.961 \\pm 0.07$-$3.894 \\pm 0.10$98.3
Sea water $(ng~mL^{-1})$0.0 $1.8\\pm 0.05$ -
10.0$11.7 \\pm 0.3$99.1
20.0$21.6\\pm 0.5$99.0
River water $(ng~mL^{-1})$0.0$3.2 \\pm 0.09$-
10.0$13.4 \\pm 0.4$101.5
20.0$22.9 \\pm 0.7$98.7
$\\text{Carrot}\\ (\\mu\\text{g}\\ \\text{g}^{-1})$0.0$1.0 \\pm 0.05$-
10.0$10.8 \\pm 0.4$98.2
20.0$21.3 \\pm 0.7$101.4
$\\text{Lettuce}\\ (\\mu\\text{g}\\ \\text{g}^{-1})$0.0$1.1 \\pm 0.04$-
10.0$11.2 \\pm 0.4$100.9
20.0$20.9 \\pm 0.6$99.0
$\\text{Tobacco(Marlboro)}\\ (\\mu\\text{g}\\ \\text{g}^{-1})$0.0$3.9 \\pm 0.1$-
10.0$14.0 \\pm 0.5$100.7
$\\text{Tobacco (Kent)}\\ (\\mu\\text{g}\\ \\text{g}^{-1})$0.0$3.5 \\pm 0.08$-
10.0$13.3 \\pm 0.4$98.5
$\\text{Tobacco(Bahman)}\\ (\\mu\\text{g}\\ \\text{g}^{-1})$0.0$4.3 \\pm 0.1$-
10.0$14.2 \\pm 0.5$99.3
"} {"image_path": "images/ab11f5532bbfe0052812baea9560366f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
S11.840.1(fix)$4.31^{+1.10}_{-1.47}$$ 0.283_{-0.082}^{+0.246} $$0.87^{+1.27}_{-0.54}$0.90 ± 0.07156.53/142
S21.660.1(fix)$4.09 ^{+1.03}_{-1.15}$ $0.281_{-0.056}^{+0.111}$ $1.08^{+0.81}_{-0.51}$0.94 ± 0.07178.68/152
S31.890.1(fix)$3.63 ± 0.57$0.350 ± 0.0780.90 ± 0.300.91 ± 0.05201.77/154
S42.160.1(fix)$5.03_{-0.97}^{+0.86}$$0.334^{+0.104)_{-0.060)$$1.00^{+0.49)_{-0.36)$$0.97^{+0.07}_{-0.06}$180.01/152
S52.450.1(fix) $4.88_{-1.07}^{+0.93}$ $0.256_{-0.040}^{+0.063}$ $1.40_{-0.55}^{+0.85}$ 0.86 ± 0.05188.60/155
S63.030.1(fix)$4.78 _{-2.28}^{+1.55}$ $0.233_{-0.053}^{+0.107}$ $1.89 ^{+2.97}_{-0.71}$0.69 ± 0.07186.88/148
SE_on11.870.1(fix)9.48 ± 1.85$0.300^{+0.009)_{-0.008)$28.3 ± 1.870.65 ± 0.08192.06/150
SE_off11.560.1(fix)7.00 ± 1.19 $0.300_{-0.012}^{+0.014}$ 11.6 ± 1.090.82 ± 0.06178.33/150
BULGE_610.500.1(fix)5.12 ± 0.90 $0.296_{-0.011}^{+0.012}$ 11.5 ± 0.970.70 ± 0.07163.92/149
RXJ18569.010.1(fix)3.01 ± 0.51 $0.295_{-0.010}^{+0.012}$ 7.22 ± 0.560.92 ± 0.07182.59/149
EMS12745.590.1(fix)3.71 ± 0.91$0.290^{+0.013)_{-0.011)$6.54 ± 0.620.89 ± 0.05208.41/149
EMS13885.230.1(fix) $1.91_{-1.27}^{+0.99}$ $0.281_{-0.054}^{+0.069}$ $1.65_{-0.61}^{+1.16}$ 0.80± 0.07207.34/149
RCS21182.970.1(fix)3.26 ± 0.81$0.307^{+0.041)_{-0.027)$1.92 ± 0.410.73 ± 0.05176.40/149
NGC71302.100.1(fix)$1.94^{+0.60}_{-0.61}$$0.038^{+0.102)_{-0.0.058)$$0.71^{+0.37)_{-0.28)$0.74 ± 0.05194.91/149
"} {"image_path": "images/f8bc9c6869c43bc1a049f180aa218acb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Small Firm GroupLarge Firm Group
Constant-0.03-0.02-0.020.040.030.04
CAPEX(-1)0.54***0.53***0.54***0.44***0.36**0.44***
iCAPEX(-1)-0.50***-0.47***-0.51***-0.04-0.01-0.04
OPT0.69***0.68***0.68***0.44***0.61**0.45***
$F\\widehat{INCA}P $-0.08**-0.060.02
$F\\widehat{ I N C A }P(-1)$-0.13***-0.12***-0.12**-0.010.01
$\\mathrm{i} F \\widehat{I N C A }P$0.04-0.26-0.24*
$F\\widehat{I N C A }P(-1)$0.040.03-0.34*-0.39*-0.35**
Disturbance is homoscedasticBreusch-Pagan/Godfrey statistic22.80***10.6319.61***19.07**23.29***19.02***
Hansen J-statistic4.05**3.37*3.28*0.660.060.59
First-stage regressions of OPTF-test42.70***42.72***50.65***18.17***17.18***15.83***
Tests of endogeneity of OPTDurbin-Wu-Hausman34.76***34.72***32.14***3.96**10.00***3.82*
CAPEX(-1)+iCAPEX(-1)=00.060.150.053.77*1.583.72*
$F\\widehat{ I N C A }P=F\\widehat{ I N C A }P(-1)=0$13.53***5.95*0.04
$iF\\widehat{ I N C A }P=iF\\widehat{ I N C A }P(-1)=0$0.135.12*6.81**
$F\\widehat{ I N C A }=F\\widehat{ I N C A }(-1)=$$iF\\widehat{ I N C A }=iF\\widehat{ I N C A }(-1)=0$14.28**6.86
Obs101101101101101101
"} {"image_path": "images/154900b64b0e9aa8bc430b466299cb78.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
hklCalcined SBA-16Ozone-treated SBA-16
d-Spacing$\\text{/}\\mathring{\\text{A}}$Phase|F(hkl)|d-Spacing$\\text{/}\\mathring{\\text{A}}$Phase|F(hkl)|
11098.10100.00106.60100.00
20069.4019.2375.4020.24
21 156.701.8461.601.06
22049.1014.0953.307.84
"} {"image_path": "images/d6481e0c718d9db81ab96cdbcfd72a2e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mu^{*}$v*NVar(D)Var($D_1$)Var($D_2$)Var($D_3$)
$10^{-4}$$10^{-4}$101.06×$10^{-7}$11.69 ×$10^{-7}$2.52×$10^{-7}$1.79 ×$10^{-4}$
506.01×$10^{-7}$9.51x$10^{-7}$1.40 ×$10^{-7}$1.89 ×$10^{-4}$
1001.16 × $10^{-6}$1.83 ×$10^{-6}$2.69 × $10^{-6}$1.85 × $10^{-4}$
$10^3$5.28 × $10^{-6}$8.13×$10^{-6}$1.14×10-51.19 × $10^{-4}$
$10^5$4.01×$10^{-7}$5.55×$10^{-7}$6.14×$10^{-7}$3.02×$10^{-6}$
$10^7$4.16 × $10^{-9}$$5.73 ×10^{-9}$$6.25×10^{-9}$3.07×$10^{-8}$
$10^9$4.16 ×$10^{-11}$5.73 ×$10^{-11}$6.25 ×$10^{-11}$3.07×$10^{-10}$
$10^{-4}$2×$10^{-4}$102.11×$10^{-7}$3.37×$10^{-7}$5.03×$10^{-7}$3.56×$10^{-4}$
501.18 × $10^{-6}$1.86 × $10^{-6}$2.75 × $10^{-7}$3.72×$10^{-4}$
1002.24 × $10^{-6}$3.53×$10^{-6}$5.18×$10^{-7}$3.57×$10^{-4}$
$10^3$8.21 x$10^{-6}$1.26 × $10^{-6}$1.78 ×10-51.85 × $10^{-4}$
$10^5$4.06 × $10^{-7}$5.61x$10^{-7}$6.21 ×$10^{-7}$3.06 × $10^{-6}$
$10^7$$4.06 × 10^{-9}$$5.62×10^{-9}$$6.22 ×10^{-9}$3.06 ×$10^{-8}$
$10^9$4.16 ×$10^{-11}$5.72×$10^{-11}$6.25 ×$10^{-11}$3.07× $10^{-10}$
$10^{-6}$$10^{-6}$101.07×$10^{-11}$1.72×$10^{-11}$2.55×$10^{-11}$1.80 × $10^{-6}$
506.36×$10^{-11}$1.01× $10^{-10}$1.49 × $10^{-10}$1.96 × $10^{-6}$
1001.30× $10^{-10}$2.06 × $10^{-10}$3.04× $10^{-10}$1.98 ×$10^{-6}$
$10^3$$1.31 ×10^{-9}$$2.08 × 10^{-9}$$3.06 × 10^{-9}$1.98 × $10^{-6}$
$10^5$5.29 ×$10^{-8}$8.14×$10^{-8}$1.41 × $10^{-7}$1.19×$10^{-6}$
$10^7$$4.01 ×10^{-9}$$5.55×10^{-9}$$6.14 ×10^{-9}$3.02×$10^{-8}$
$10^9$4.16×$10^{-11}$5.72×$10^{-11}$6.25 ×$10^{-11}$3.07× $10^{-10}$
"} {"image_path": "images/d49f2dd99138b58afb4fd9b9123c5437.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variable19701980$C_{HANGE}$(1980 to $1970)^a$
b(SE)b(SE)b(SE)
Intercept.90*(.145).73*(.081)-.17(.165)
Age:
60-64.........
65-69.49*(.044).46*(.025)-.04(.051)
70-74.90*(.063).87*(.030)-.03(.062)
75 +1.14*(.051)1.30*(.035).16*(.072)
Marital status and gender:
Unmarried male.........
Married male-1.08*(.077)-1.18*(.049).10(.092)
Unmarried female.26*(.079).16*(.050)-.10(.094)
Married female-.33*(.084)-.62*(.052)-.29*(.098)
Education: $\\quad$
None.........
Primary-.15*(.053)-.08*(.027).08(.060)
Middle +-.52*(.124)-.38*(.043).14(.131)
Migration within last 5 years:
Not moved.........
Moved-.15*(.072).05(.036).20*(.081)
Migration from birthplace:
Not moved.........
To rural-.34*(.051)-.23*(.031).11(.060)
To urban.04(.084).08(.044).04(.095)
Urban/rural residence:
Seoul.........
Other urban-.06(.071)-.10*(.036)-.04(.080)
Rural.27*(.095)-.20*(.052)-.47*(.108)
"} {"image_path": "images/5fcd46bee2885d43a4458e02536aaf25.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Grade LevelsLevels of Reading Proficiency (Oral Reading) By GenderTOTAL
FrustrationInstructionalIndependent
MaleFemaleMaleFemaleMaleFemale
Year 110412134548
Year 254731323
Year 385452327
TOTAL2313232171198
"} {"image_path": "images/1b67874bc679434d82d85176b785bb7d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
e/La/L$L_{1}/L$$L_{2}/L$$Q_1/Q_2$
P&CPCRP&CPCRP&CPCRP&CPCR
0.00.790.420.932.21
0.250.760.400.921.851.95
0.30.750.400.921.79
0.40.740.390.911.65
0.50.730.390.911.591.67
0.60.720.390.911.53
0.80.710.380.901.44
1.00.700.370.901.381.42
1.20.690.680.370.340.900.901.34
1.40.690.370.901.30
1.60.680.360.891.27
1.80.680.360.891.25
2.00.680.360.891.231.24
2.20.670.360.891.21
2.40.670.360.891.19
2.60.670.360.891.18
2.80.670.350.891.17
3.00.660.350.891.16
"} {"image_path": "images/7dd4d8c1eaaf167e13bfab8af2b9f696.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleContent (mass%)Molar ratio
$Na_2O$$K_2O$$Al_2O_3$$SiO_2$$M_2O$$Al_2O_3$$SiO_2$
N19.81.427.930.20.6311.84
N27.31.630.930.30.4411.67
N314.10.431.137.20.7612.03
N4-17.439.141.40.4811.80
N5-12.219.256.00.6914.96
"} {"image_path": "images/5647280010c1a2f1258e7431d4ac0c03.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Slag Composition
CaO(wt pct)51.5
$\\mathrm{Al}_{2} \\mathrm{O}_{3}$ (wt pct)38.9
$\\mathrm{SiO}_{2}$ (wt pct)9.6
Partial pressure of oxygen(bar)$10^{-7}$
Partial pressure of sulfur(bar)$10^{-1}$
Height of slag(m)$ 1 \\times 10^{-2} $
Height of Metal(m) $0.5\\times 10^{-2}$
Density of the slagat $1723 \\mathrm{~K}\\left(1450{ }^{\\circ} \\mathrm{C}\\right)\\left(\\mathrm{g} \\mathrm{cm}^{-3}\\right)$2.8
Density of silver at 1723 K $\\left(1450{}^{\\circ} C\\right)$(g cm ${}^{-3}$ )9.32
Sulfide capacity of slag $0.447\\times 10^{-3}$
Diffusivity of sulfur in slag ${ }^{[8]}\\left(\\mathrm{m}^{2} \\mathrm{~s}^{-1}\\right)$$ 1 \\times 10^{-10} $
Diffusivity of sulfur in silver $\\left(\\mathrm{m}^{2} \\mathrm{~s}^{-1}\\right)$$ 1 \\times 10^{-7} $
$K^{\\text {slag/metal }}$9.72
"} {"image_path": "images/538c4707b8df753474f979f3add01e61.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
catalystalcoholamineproduct
Co, Cutetradecanolammoniatetradecylamine
Cu, MobutanoldimethylamineN,N-dimethyl-butylamine
Cu, $\\mathrm{Ba-Al}_{2}\\mathrm{O}_{3}$dodecanoldiethylamineN,N-diethyl-dodecylamine
Cu, $\\mathrm{W-Al}_{2}\\mathrm{O}_{3}$dodecanoldimethylamine N,N-dimethyl-N,N-dimethyl-dodecylamine
Cu, Na,$\\mathrm{Cr_2O_3-SiO}_2$octanoldimethylamineN,N-dimethyl-dodecylamine
Cu-$Cr_2\\mathrm{O}_3$ethanoldimethylamineN,N-dimethyl-ethylamine
$^a Data$ taken from ref 1a.
"} {"image_path": "images/69d2061d40dd4c3477cb92c162e700b4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cell Parameters
Number of Cells, L19, wrap-around
Cell Radius750 m
Cell-center Radius500 m
Intercell Distance $Ratio^a$, ρ0.9
Antennas $N_T, N_R$4, 2
Frequency Reuse Factor1
OFDMA Parameters
FFT size1024
Carrier Frequency2.5 GHz
Sampling Frequency11.2 MHz
Number of Subchannels, N30
Number of Subcarriers Per Subchannel28
DL Permutation TypePUSC
Channel Model
Path Loss (dB)$130.62+37.6 * \\log _{10}(d),$(d in km)
Fast FadingITU Pedestrian B
Power Control Parameters
Cell-center Trans. Power, $P_0$40 dBm
Cell-edge Trans. Power, $P_1$46 dBm
Thermal Noise Power, $N_0$-119 dBm
"} {"image_path": "images/441ff2743b9ae2435d15456c63f150c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Soil propertiesMinimumMaximumMeanSD
Sand (%)16.8980.0849.8817.78
Silt (%)18.8081.6748.5417.46
Clay (%)0.535.091.580.74
SOM (g/kg)10.58124.8336.2920.07
BD $(\\mathrm{g/cm^{3}})$0.981.351.130.08
pH4.366.915.510.70
Porosity (%)48.6862.9256.923.05
"} {"image_path": "images/9d8257703201362377b871e39c445a99.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Control phaseTreatment phase
$C_{\\max }\\left(\\mathrm{mg 1}^{-1}\\right)$$4.1 \\pm 0.7$$4.1 \\pm 0.6$NS$^1$
$t_{1 / 2}(\\mathrm{~h})$$ 18.6 \\pm 3.1 $$18.7 \\pm 2.2$NS
$f_u$$0.103 \\pm 0.011$$0.109 \\pm 0.018$NS
$\\operatorname{AUC}\\left(\\mathrm{mg} \\mathrm{l}^{-1} \\mathrm{~h}\\right)$$ 176\\pm 47 $$ 169\\pm 31 $NS
$\\mathrm{AUC}_{\\mathrm{u}}\\left(\\mathrm{mg} \\mathrm{l}^{-1} \\mathrm{~h}\\right)$$ 17.4\\pm 5.3 $$ 18.4 \\pm 3.8 $NS
Fraction of dose asHPPH in urine$0.55 \\pm 0.10$$0.51 \\pm 0.08$NS
${ }^1 \\mathrm{NS}=P>0.05(n=8)$
"} {"image_path": "images/72befa5f1da52bf088ee63f7420aff3b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ElementsCONaAlSiKFeSCa
EDS (wt.%) Uncoatedpumice7.542.17.111.125.84.61.8--
AOCP3.144.86.113.524.24.32.10.90.5
XRF (wt.%)Uncoatedpumice--12.821.946.38.43.70.11.6
AOCP--10.729.440.28.13.82.51.3
"} {"image_path": "images/1644b6fd9e608178268a2eac4a77bdf5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\begin{array}{c} \\text{Initial energy} \\\\ E_0 \\\\ (\\text{MeV}) \\end{array}$$\\begin{array}{c} h \\\\ (\\mathrm{mg}\\ \\mathrm{cm}^{-2}\\ \\mathrm{MeV}^{-1/2}) \\end{array}$W$\\chi^2/N_{\\mathrm{DF}}$
(a)
$71.3 \\pm 1.0$$0.264 \\pm 0.004$$0.340 \\pm 0.003$1.55
$75.3 \\pm 1.0$$0.264 \\pm 0.003$$0.340 \\pm 0.003$1.62
$79.3\\pm 1.0$ $0.262 \\pm 0.003$$0.341 \\pm 0.003$1.19
$83.3 \\pm 1.0$$ 0.262 \\pm 0.003 $$0.341 \\pm 0.003$0.99
$87.3 \\pm 1.0$$0.262 \\pm 0.003$$0.342 \\pm 0.003$0.61
(b)
$96.1 \\pm 1.0$$0.320 \\pm 0.002$$0.297 \\pm 0.002$2.26
$100.1 \\pm 1.0$$0.324 \\pm 0.002$$0.294 \\pm 0.002$1.95
$104.1 \\pm 1.0$$0.328 \\pm 0.002$$0.291 \\pm 0.002$1.25
$108.1 \\pm 1.0$ $0.332\\pm 0.002$ $0.287 \\pm 0.002$1.36
112.1±1.0$ \\begin{array}{l}0.337 \\pm 0.002\\end{array} $$0.283 \\pm 0.002$1.09
"} {"image_path": "images/4978cfd47e56bff6f1027237cc3353a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TypesParameters
Median filtering (MF)3 × 3 window
Gaussian filtering (GF)3 × 3 window
Gaussian-noise addition (GN)Mean = 0, variance = 0.20
JPEG compression (JC)compression ratio = 90%
Brightness decrease (BD)-50%
Brightness increase (BI)+50%
Contrast decrease (CD)-50%
Contrast increase (CI)+50%
Resizing (RE)50%
Centered cropping (CC)5%, 10%
Edge cropping (EC)5%, 10%
Rotation (RO)10°, 20°
Row & column removal (RC)5 Rows and 17 Columns
"} {"image_path": "images/84e48cf3be365a9df6e33c1f948f1088.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$A_0$$A_1$$A_2$$A_3$$A_4$$B_1$ $\\sigma(H_\\text{m}^+)\\quad$$\\text{J·mol}^{-1}$
$x \\mathrm{C}_{4} \\mathrm{H}_{8} \\mathrm{O}$
$+(1-x) H C O_{2} H$ -9181.4961.4857.21696212422.2
$+(1-x) \\mathrm{CH}_{3} \\mathrm{CO}_{2} \\mathrm{H}$-3671.2311.7551.08.3
$+(1-x) \\mathrm{C}_{2} \\mathrm{H}_{5} \\mathrm{CO}_{2} \\mathrm{H}$-2986.8-712.3423.1468 6.6
$+(1-x) C_{5} H_{11} CO_{2} H$ -1937.3-1083.3 -1083.3-1035.8-200.1566962.2
$+(1-x)C_7H_{15}CO_2H$-1937.3-1226.5-1035.8-200.1-245.0113429.. .3.3
$x{C_5H_{10}O}$
$+(1-x) H C O_{2} H$ -8533.0 -714.0-1082.1 -1082.1-130226.2
$+(1-x) CH_{3}CO_{2}H$ -2839.2-159.0-636.4-796-15488.7
$+(1-x) C_{2} H_{5} CO_{2} H$ -2530.51385.9141.5-0.89476 3.2
$+(1-x) C_{3} H_{7} CO_{2} H$ -2008.2 1285.659.6-134-0.853403.2
$+(1-x) \\mathrm{C}_{5} \\mathrm{H}_{11} \\mathrm{CO}_{2} \\mathrm{H}$-1465.6-244.5-884.2-1951.12.7
$+(1-x) C_{7} H_{15} CO_{2} H$ -688.1-474.1131.6-570-739...3.9
"} {"image_path": "images/eca6640537a269d3a7365fd5fdb9d333.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reservoir Geometrical Dimensions
Length (axis X) 500mLength (axis Y)500 mLayer thickness10 m
$n_{x}$25 elements$n_{y}$25 elements
Rock Formation Properties
Porosity0.25$k_{xx}$200 mD$k_{yy}$200 mD
Initial Conditions
$S_{o}$0.70$S^r_o(EOR)$0.35$S_a^{rH}=S_o^{rH}$0.15
Reservoir Simulation Data
Simulation time9000 days Chem. injection time- days$z_{cIN}$-
Phases' Properties
$\\mu^{aH}$$\\text{1 cP}$$\\mu^{oH}$$\\text{10 cP}$Oil density$850 \\mathrm{~kg} / \\mathrm{m}^{3}$
Water density$1020\\:\\mathrm{kg}/\\mathrm{m}^{3}$IFT$50 \\mathrm{mN} / \\mathrm{m}$
"} {"image_path": "images/4d2a517e725b45df2a58c0f3cc50dc69.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleNo.Name of PolymerDecomposition Percentage at Different Temp$E^a$ by Diff.$Methods^a$CR OI$t_g$
100200300400500600700800900BroidoF-A
1Quinoacetophenone-furfural-o-hydroxybenzoic acid5.910.001529.0034.00546274$\\mathrm{-}$13.7813.823530.4215
2Quinoacetophenone-furfural-p-hydroxybenzoic acid4.18.61932.0042566479$\\mathrm{-}$12.2512.412165.2265
3Quinoacetophenone-furfural-o-chlorobenzoic acid4.89.51335.0041586270$\\mathrm{-}$5.355.553043.8280
4Quinoacetophenone-furfural-p-chlorobenzoic acid7.2121723.5385566717917.617.723241.00320
5Quinoacetophenone-furfural-p-aminobenzoic acid6.714152739626873$\\mathrm{-}$16.6216.832932340
"} {"image_path": "images/429361b524089899501478c62f609284.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterDefinitionValue
RPMN radius$3.75\\ \\mu m$
$L_{mv}$Length of microvillus$0.35\\ \\mu m$
$\\lambda $Receptor-ligand bond length$0.07\\ \\mu m$
$k^{0}_{f}$Unstressed on-rate3 s$^{-1}$
$k^{0}_{r}$Unstressed off-rate3 s$^{-1}$
$\\sigma$Spring constant4 dyn/cm
$\\sigma_{ts}$Transition state spring constant3.96 dyn/cm
$E_{h}$Membrane stiffness3.0 dyn/cm
$\\sigma_{m}$Microvillus spring constant$43 \\ pN/\\mu m$
$\\mu _{m}$Effective viscosity of tether$11 \\ pN.s/\\mu m$
$\\mu $Fluid viscosity0.8 cP
$\\rho$Fluid density1 g/cc
TTemperature310 K
"} {"image_path": "images/bfa346d49329429e776e00ce47365cc8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
atomxyzU or $U_{\\mathrm{eq}}$, $\\mathring{\\mathrm{A}^{2} } $
Ir10000287 (1)250033 (0.2)*
H11056 (90)-331 (56)2551 (51)108 (36)
P19966 (1)142 (1)1491 (1)35 (1)*
P2100004414 (2)250054 (2)*
S8490 (2)1174 (1)2375 (1)45 (1)*
C17494 (7)1131 (5)2845 (4)62(5)*
C27183 (9)1868 (7)2965 (5)84 (7)*
C37794 (8)2448 (6)2727 (5)75 (6)*
C48557 (7)2174 (5)2410 (4)57 (5)*
C1,19583 (5)1007 (4)1064 (3)35 (4)*
C2,110027 (6)1718 (4)1212 (3)46 (5)*
C3,19788 (7)2387 (5)895 (4)57 (5)*
C4,19065 (7)2351 (5)427 (4)59 (5)*
C5,18632(7)1651 (6)263 (4)62 (5)*
C6,18875 (7)977 (5)580 (4)51 (5)*
C1,29038 (6)-602 (4)1200 (3)41 (4)*
C2,28040 (7)-612 (5)1382 (4)55 (5)*
C3,27284 (7)-1124 (5)1136 (4)66 (6)*
C4,27555 (9)-1626 (7)713 (5)79 (6)*
C5,28586 (9)-1653 (6)533 (5)76 (7)*
C6,29313 (7)-1118 (5)774 (4)55 (5)*
C1,311218 (6)-149 (4)1208 (3)40 (4)*
C2,311723 (6)-793 (4)1441 (3)49 (4)*
C3,312695 (7)-1003 (6)1259 (4)64 (5)*
C4,313172 (7)-588 (6)844 (4)64 (5)*
C5,312678 (7)51 (7)610 (5)68 (6)*
C6,311698 (7)278 (5)780 (4)54 (5)*
F111234 (4)4402 (4)2437 (3)91 (4)*
F29887 (5)3748 (4)2013 (3)98 (5)*
F39861 (7)5039 (7)2009 (4)126 (7)*
C56144 (14)1176 (14)1227 (10)82 (13)*
C115636 (6)756 (4)587 (3)99 (4)*
C125920 (7)2136 (4)1269 (3)140 (5)*
"} {"image_path": "images/3fab821d411ed1a8253dd2d342a91180.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0.0084.2590.006
0.0334.1610.013
0.0224.1800.020
0.0334.1070.028
0.0124.0020.006
0.0094.1650.007
0.0474.0940.040
0.0184.070-0.001
0.0083.9890.005
-0.0184.136-0.019
0.0114.0650.005
0.0124.043~0.008
-0.0043.961-0.010
-0.0113.928--0.016
-0.0024.014-0.002
0.0433.9450.040
-0.0033.923-0.018
-0.0173.846-0.021
-0.0063.814-0.009
"} {"image_path": "images/bce5ed4c9303a9f1837b7d38c3c53b68.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Flame retardantConcentration (%)Weight percent gain (%)Bulking efficiency (%)Antiswelling efficiency (%)Repellent water absorption (%)
APPUF0.51017.72 (0.5)4.53 (0.18)15.53 (1.34)28.21 (2.21)
1515.87 (0.25)5.36 (0.25)34.94 (2.51)29.76 (2.76)
2023.24 (0.41)5.82 (0.32)37.91 (2.17)41.39 (3.12)
2532.76 (0.36)6.38 (0.31)45.26 (2.69)43.52 (1.89)
APPUF0.751014.83 (0.51)4.01 (0.27)12.79 (2.86)26.46 (1.79)
1515.37 (0.47)5.46 (0.33)20.42 (1.78)32.08 (1.57)
2022.78 (0.39)6.13 (0.42)24.07 (3.11)40.86 (2.06)
2527.25 (0.92)6.56 (0.36)43.56 (2.66)41.18 (1.39)
APPUF1.01013.62 (0.67)4.96 (0.19)34.45 (4.21)23.47 (1.44)
1516.73 (0.81)5.89 (0.31)40 (2.15)28.09 (1.86)
2026.69 (1.21)6.37 (0.37)52.05 (2.34)35.28 (2.27)
2533.64 (0.96)6.88 (0.28)49.71 (2.87)46.13 (2.17)
"} {"image_path": "images/73b257fe4fcfafb6ebd05f5f1852b0f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Millingtime (h)Temperatureof heat treatment(℃)y = ax + bd (nm)$\\eta$ (%)
ab
1200.00460.003638.510.46
2000.00490.003935.550.49
5000.00510.005525.210.51
5012500.00390.002555.460.39
5015000.00190.002360.280.19
"} {"image_path": "images/b853e480dd8e7c33dd03fb0fe11f0a20.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AL 7175-T7452SiFeCuMnMgCrZnTiBe
Min————1.2——2.10.185.1————
Max0.150.22.00.12.90.286.10.10.05
AL 7085-OSiFeCuMgZrCrZnTiBe
Min————1.31.20.1——7.0————
Max0.10.12.01.80.2——8.0————
"} {"image_path": "images/01c5c840afbb0bd81ca797f0237f27ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\beta_G$
$\\beta_H$0.10.30.50.7
0.19.799.759.719.68
0.32.412.392.382.37
0.51.411.401.391.38
0.71.011.001.000.99
"} {"image_path": "images/920c6b5b0f79adae3e0bee7cbf9396d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampledesignationMineral Mineralcomposition$\\begin{array} {c}\\delta^{18}\\mathrm{O}\\pm1\\sigma \\\\ (\\text{‰})^\\dagger \\end{array}$$\\begin{array} {c}\\delta^{17}\\mathrm{O}\\pm1\\sigma \\\\ (\\text{‰})^\\dagger \\end{array}$$\\begin{array} {c}\\Delta^{17}\\mathrm{O} \\\\ (\\text{‰})^{\\dagger,\\ddagger} \\end{array}$
92-13C-4Px$\\mathrm{Fs}_{1.3} \\mathrm{Wo}_{1.1}$$ -1.5 ± 1.2 $$ -3.6\\pm 1.0 $-2.8
92-13C-4Px $\\mathrm{Fs}_{1.3} \\mathrm{Wo}_{1.1}$ $0.8 \\pm 1.3$$-4.0 \\pm 1.0$-4.4
92-13C-5Px$\\mathrm{Fs}_{2.3} \\mathrm{~Wo}_{1,2}$$-4.5 \\pm 1.6$$-7.0 \\pm 0.8$-4.7
92-13C-10Ol$\\mathrm{F}_{33.8}$$4.3 \\pm 1.3$$0.6 \\pm 0.8$-1.6
92-13C-11Px$\\mathrm{Fs}_{2.0} \\mathrm{Wo}_{0.8}$$\\quad-6.0 \\pm 1.1$$-5.3 \\pm 0.7$-2.2
92-13C-11Px$\\mathrm{Fs}_{8.2} \\mathrm{Wo}_{2.9}$$ -3.8 \\pm 1.3 $$-2.6 \\pm 0.8$-0.6
92-13C-13Ol$Fa_{2.2}$$ -1.3±1.3 $-2.8 ± 1.0-2.1
92-13C-13Px$\\mathrm{Fs}_{1.6} \\mathrm{Wo}_{1.1}$$2.2 \\pm 1.3$-0.4 $\\pm 0.9$-1.5
92-13C-15Px $\\mathrm{Fs}_{5.3} \\mathrm{Wo}_{0.9}$ $2.1 \\pm 1.2$$0.0 \\pm 1.0$-1.1
92-13C-15Px $\\mathrm{Fs}_{5.3} \\mathrm{Wo}_{0.9}$ $\\quad-2.0 \\pm 1.3$$-2.9 \\pm 1.0$-1.9
92-13C-20Px $\\mathrm{Fs}_{3.5} \\mathrm{Wo}_{1.2}$ $\\quad-5.4 \\pm 1.4$$\\quad-7.4 \\pm 1.4$-4.6
92-13C-20Px$\\mathrm{Fs}_{3.5} \\mathrm{Wo}_{1.2}$$-5.5 \\pm 1.2$$-6.9 \\pm 1.0$-4.0
92-13C-21Ol$\\mathrm{Fa}_{28.7}$$ 1.0\\pm 1.5 $$\\quad-2.1 \\pm 1.3$-2.6
92-13C-23Mel$\\mathring{\\mathrm{A}}$$k_{22}$$ -39.8±1.3 $$ -41.7 \\pm 1.1 $-21.0
92-13C-23Mel$\\mathring{\\mathrm{A}}$$k_{22}$$ -44.6 \\pm 1.3 $$-45.1 \\pm 0.9$-21.9
92-13C-23Sp$Sp_{100}$-40.3 $\\pm 1.4$$ -41.7 \\pm 1.1 $-20.7
92-13C-23Sp$Sp_{100}$$ -48.4 \\pm 2.4 $$ -47.2 \\pm 1.6 $-22.0
92-13C-23Sp$Sp_{100}$$-42.1 \\pm 1.6$$ -41.2 \\pm 1.2 $-19.3
92-13C-26Ol$Fa_{3.8}$$ 1.9\\pm 1.5 $$-1.4 \\pm 1.5$-2.4
92-13C-26Ol$Fa_{3.8}$$1.7 \\pm 1.8$$\\quad-1.9 \\pm 1.4$-2.8
92-13C-33Px$\\mathrm{Fs}_{4.4} \\mathrm{Wo}_{1.1}$$0.6 \\pm 1.1$$-3.2 \\pm 1.0$-3.5
92-13C-35Px$\\mathrm{Fs}_{1.3} \\mathrm{Wo}_{0.6}$ $-3.4\\pm 1.5$ $-6.9 \\pm 0.9$-5.1
$94-4 \\mathrm{b}-2$Ol$Fa_{2.6}$$-4.6 \\pm 1.3$-6.1 ± 1.8-3.7
$94-4 \\mathrm{b}-5$Ol$Fa_{1.1}$-8.3 ± 1.3-7.4 ± 1.4-3.1
94-4b-5Ol$\\mathrm{Fa}_{32.4}$$-3.6 \\pm 1.5$$-6.5 \\pm 1.6$-4.6
$94-4 \\mathrm{b}-5$Px$\\mathrm{Fs}_{2.6} \\mathrm{Wo}_{1.2}$$ -9.9 \\pm 1.5 $$ -11.3 \\pm 1.4 $-6.2
94-4b-5Sp$\\mathrm{Sp}_{99}+$ matrix$-21.1 \\pm 1.3$-26.8 ± 1.4-15.8
94-4b-32Ol$Fa_{8.9}$$ 4.8 \\pm 1.3 $$3.4 \\pm 1.5$0.9
94-4b-32Px$\\mathrm{Fs}_{10.9} \\mathrm{Wo}_{0.8}$$ 1.3 \\pm 1.3 $$0.4 \\pm 1.3$-0.3
94-4b-38Ol $\\mathrm{F}_{32,2}$$8.0 \\pm 1.2$$5.5 \\pm 1.4$1.3
94-4b-38Ol$ \\mathrm{Fa}_{22.6} $$ \\begin{array}{ll}{1.7 \\pm 1.2}\\end{array} $$-0.1 \\pm 1.4$-1.0
"} {"image_path": "images/4e6d6cd250a7b7157b726153694ddfba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
食用菌种类生长 pH值最适 pH值食用菌种类生长 pH值最适 pH值
双孢蘑菇$5.0 \\sim 8.0$$6.8 \\sim 7.0$黑木耳$4.0 \\sim 7.5$$5.0 \\sim 6.5$
大肥菇$5.5 \\sim 8.0$$6.0 \\sim 6.4$银耳 $5.0\\sim 7.6$ $5.2 \\sim 5.8$
香菇$3.0 \\sim 6.5$$4.5 \\sim 5.5$猴头菇 $3.0\\sim 7.0$ $3.6 \\sim 5.5$
草菇$4.0 \\sim 10.3$$7.0 \\sim 7.5$灵芝$3.0 \\sim 7.5$$5.0 \\sim 6.0$
金针菇$3.0 \\sim 8.4$$5.5 \\sim 6.5$茯苓$3.0 \\sim 7.0$$4.0 \\sim 5.5$
滑菇$4.0 \\sim 7.0$$5.0 \\sim 6.0$竹荪$5.0 \\sim 6.5$$5.6 \\sim 6.0$
平菇$3.0 \\sim 7.5$$5.4 \\sim 6.0$灰树花$3.4 \\sim 7.0$$4.4 \\sim 4.9$
"} {"image_path": "images/c58308509d40b7b7ef51bc64984970c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
10% Sucrose, m=0.919820% Sucrose, m=0.8121
y mlx mg$\\mathrm{log~b}$deviationy mlx mg$\\mathrm{log~b}$deviation
22.9242.722.8610.00129.0030.122.663- 0.003
16.1662.682.8610.00127.5732.982.6730.007
41.9222.322.8630.00330.5128.082.660- 0.006
27.5734.802.855- 0.00517.9353.962.661- 0.005
14.1672.52(2.922)(0.062)39.6321.022.6730.007
Average value2.8600.003Average value2.6660.006
$m/\\log~b=0.3216$$m/\\log~b=0.3046$
"} {"image_path": "images/1f0705f14800065f5195d3939fe9ca1b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Half Reaction$\\begin{array}{c}\\text{more easily reduced} \\\\\\text{less easily oxidized} \\\\\\downarrow \\\\\\text{more easily oxidized} \\\\\\text{less easily reduced}\\end{array}$
$\\text{F}_{2(\\text{g})} + 2\\text{e}^- \\rightarrow 2\\text{F}^-_{~~\\text{(aq)}}$2.87 V
$\\text{Cl}_{2(\\text{g})} + 2\\text{e}^- \\rightarrow 2\\text{Cl}^-_{~~\\text{(aq)}}$1.36 V
$\\mathrm{Ag}^{+}_{~~(aq)}+\\mathrm{e}^-\\to\\mathrm{Ag}_{(s)}$0.80 V
$\\mathrm{Fe}^{3+}{}_{(\\mathrm{aq})}+\\mathrm{e}^{-}\\rightarrow\\mathrm{Fe}^{2+}{}_{(\\mathrm{aq})}$0.77 V
$\\mathrm{Cu^{2+}}_{(aq)} + 2\\mathrm{e^-} \\to \\mathrm{Cu_{(s)}}$0.34 V
$\\mathrm{Sn}^{4+}{}_{(aq)} + 2\\mathrm{e}^- \\to \\mathrm{Sn}^{2+}{}_{(aq)}$0.15 V
$2\\mathrm{H}^{+}{}_{(\\mathrm{aq})} + 2\\mathrm{e}^- \\to \\mathrm{H}_{2(\\mathrm{g})}$0 V
${\\mathrm{Pb^{2+}}_{(aq)}+2\\mathrm{e^{-}\\to Pb_{(s)}}}$-0.13 V
$\\mathrm{Ni}^{2+}_{~~~~(aq)} + 2\\mathrm{e}^- \\to \\mathrm{Ni}_{(s)}$-0.26 V
${\\mathrm{Fe^{2+}}_{(\\mathrm{aq})}+2\\mathrm{e}^{-}\\to\\mathrm{Fe}_{(\\mathrm{s})}}$-0.44 V
$\\mathrm{Zn}^{2+}{}_{(aq)}+2\\mathrm{e}^{-}\\rightarrow\\mathrm{Zn}_{(s)}$-0.76 V
$\\mathrm{Al}^{3+}{}_{(\\mathrm{aq})} + 3\\mathrm{e}^- \\to \\mathrm{Al}_{(\\mathrm{s})}$-1.66 V
$\\mathrm{Mg}^{2+}_{~~~(aq)} + 2 \\mathrm{e}^- \\rightarrow \\mathrm{Mg}(\\mathrm{s})$-2.37 V
$\\mathsf{Na}^{+}_{~~~(aq)}+\\mathsf{e}^{-}\\rightarrow\\mathsf{Na}_{(s)}$-2.71 V
$\\mathrm{Li}^{+}_{~~~(\\mathrm{aq})}+\\mathrm{e}^{-}\\to\\mathrm{Li}_{(\\mathrm{s})}$-3.04 V
"} {"image_path": "images/d7835dce657fbf4e8f70f88f6dd0e22d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Quality factorInitialvalueMultipurposeL(1) V(1) I(3) T(3)Single-purpose
WeightResultsImprovement%ParametersResultsImprovement%
Hardness $(H_RC)$52.50.562.619.24L(1) V(1) I(3)F(3) T(3)62.921.71
Depth (mm)0.1120.30.2078.6L(3) V(1) I(3)F(3) T(3)0.2187.5
Width (mm)0.430.10.8597.67L(1) V(1) I(3)F(3) T(3)0.89107.0
Erosion amount(mg)69.550.141.041.04L(1) V(1) I(3)F(3) T(3)40.9441.14
"} {"image_path": "images/05af272164ee23841c6666574cf34fb8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
param123
formula$\\text{C}_{23}\\text{H}_{24}\\text{Zn}_{1.50}\\text{N}_4\\text{O}_{9.50}$$\\text{C}_{60}\\text{H}_{48}\\text{Zn}_3\\text{N}_{12}\\text{O}_{12}$$\\text{C}_{33}\\text{H}_{31}\\text{Zn}_3\\text{N}_6\\text{O}_{14}$
fw606.521325.21931.75
space group$P\\overline{1}$Cc$P\\overline{1}$
a (Å)10.230(8)40.364(8)9.316(8)
b(Å)10.886(8)8.341(8)13.670(12)
c (Å)12.657(10)18.743(10)16.355(14)
α (deg)109.794(14)9070.022(13)
β (deg)105.790(14)112.685(10)74.565(13)
γ (deg)95.411(14)9083.573(15)
$V\\ (\\text{Å}^3)$1249(2)5822(6)1886(3)
Z242
$D_{\\text{calcd}}\\ (\\text{g}\\,\\text{cm}^{-3})$1.6131.5121.640
F(000)6222664961
reflcns collcd/unique7767/559126 775/12 64011561/8376
$\\text{GOF on } F^2$1.0411.0310.920
$\\text{R}_1^a\\ [I > 2\\sigma(I)]$0.05460.04110.0413
$\\text{wR}_2^b$0.13220.08040.1022
param456
formula$\\text{C}_{120}\\text{H}_{120}\\text{Co}_6\\text{N}_{24}\\text{O}_{36}$$\\text{C}_{30}\\text{H}_{24.5}\\text{Co}_{1.5}\\text{N}_6\\text{O}_{6.25}$$\\text{C}_{38}\\text{H}_{47}\\text{Co}_4\\text{N}_8\\text{O}_{19.5}$
fw2827.98657.451163.55
space group$P\\overline{1}$C2/c$P\\overline{1}$
a (Å)16.070(4)15.942(7)11.074(2)
b(Å)19.567(4)12.172(4)11.462(2)
c (Å)22.659(4)30.831(9)18.048(4)
α (deg)74.255(7)9083.61(3)
β (deg)80.665(8)99.478(5)84.85(3)
γ (deg)67.870(7)9073.03(3)
${V}\\ (\\text{Å}^3)$6338(2)5901(3)2173.7(8)
Z282
$D_{\\text{calcd}}\\ (\\text{g}\\,\\text{cm}^{-3})$1.4821.4801.776
F(000)291626961188
reflcns collcd/unique61 708/27 86727 689/662820960/9575
$\\text{GOF on } F^2$1.0180.9621.103
$\\text{R}_1^a\\ [I > 2\\sigma(I)]$0.06270.07690.0661
$\\text{wR}_2^b$0.17110.19400.1956
"} {"image_path": "images/ff7045659b59358af46b5972508f826d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Optimized criterion
Transporttime/cost Workinghour costsNumberof visitsWorkloadbalancingWaiting timefor patient Degree ofcompetence
[3]X
[7]X
[8]X
[5]X
[6]X
[11]XX
[9]XX
[1]X
[2]X
[10]X
our problemXXX
"} {"image_path": "images/27b555d2ce04e0241d1c92778c3bea4d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Experimental pointAver-ageTheory
1234
KWt. %25.825.925.222.324.826.6
CrWt. %36.236.136.940.137.335.4
OWt. %38.038.037.937.637.938.1
"} {"image_path": "images/f4729456cc656efe498a47122e6340f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DemandQ-learningQ-learning with BEParametric
Exponential
$l_{1}=10, l_{2}=0.5$ 93.298.197.1
$l_{1}=15, l_{2}=1$ 94.397.297.5
$l_{1}=20, l_{2}=0.75$ 9396.398.2
$l_{1}=25, l_{2}=3$ 94.292.998.0
$l_{1}=30, l_{2}=0.5$94.5 98.197.8
Linear
$h_{1}=50, h_{2}=4$ 94.295.197.6
$h_{1}=35, h_{2}=2$ 93.294.397.3
$h_{1}=30, h_{2}=3$ 93.496.197.2
$h_{1}=20, h_{2}=2.5$ 92.59697.2
$h_{1}=15, h_{2}=1.5$ 93.797.198
"} {"image_path": "images/d52e34f0fd87cd993c364107ced62b4a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Synchrony metric
Mean correlation($\\rho$)Kendall'sconcordance(W)$\\mathrm{LdM}(\\phi)$Concurrency(C)Phasesynchrony (Q)
Value$P$-valueValue$P$-valueValue$P$-valueValue$P$-valueValue$P$-value
AR(2)0.2010·0280·5840·0060.6010.0380.1321.0000·0050.996
AR(2) + positively correlated noise0.2120·024 0.5910.0030.6060·0090.5040·0010.0520.001
Sinusoidal model + uncorrelated noise0·4500·0850·7350·0000·7250·0430.3380.3880.0410·049
Sinusoidal model + negatively correlated noise-0.1230·7820·4740·7930.4390.6380.0001.0000.2530·001
"} {"image_path": "images/a7bef5ee4ed2cca4b37c7fa17d919ede.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Maternal complicationNormal deliveryNormal-complicated
MeanStandard deviationMeanStandard deviationMeanStandarderror
Panel A: Health seeking behaviour
Gave birth in a private health facility0.7070.4560.0350.185-0.672***0.031
Gave birth by caesarean section0.7770.4170.0000.000-0.777***0.026
Panel B: Income and loss of resources
Maternal health spending (Taka)195321235431223464-16409***808
Days of woman's labour lost (days)36.116.621.314.4-14.8***1.4
Household earnings/capita atbaseline (Taka)2897308524104024-486336
Panel C: Household expenditure andchildren enrolled at school at baseline
Nonmedical expenditure/capita(Taka)1969171118322294-137190
Change in nonmedical expenditure/capita (Taka)-951478351999130165
Nonmedical recurrent expenditure/capita (Taka)15138291324776-189**74
Food expenditure/capita (Taka)900400787318-113***33
Number of children enrolled atschool1.001.010.960.99-0.04310.092
Panel D: Coping strategies
Borrowing to pay for maternal care(Taka)7663113499872601-6676***732
Sale of assets to pay for maternalcare (Taka)1347537197826-1250***341
Transfers to pay for maternal care(Taka)36466446259771-3387***407
Panel E: Demographic variables
Age25.75.725.55.9-0.20.5
Muslim0.840.370.880.320.040.03
Asset wealth Q10.140.340.080.270.06**0.03
$ \\text{ Asset wealth Q2} $0.140.350.160.370.020.03
$ \\text { Asset wealth Q3 } $0.130.340.220.420.09***0.04
$ \\text{ Asset wealth Q4} $0.170.380.150.36-0.020.03
$ \\text{ Asset wealth Q5} $0.380.490.230.42-0.15***0.04
Woman has no education0.130.340.160.370.030.03
Woman has 1-3 years education0.020.150.040.200.020.02
Woman has 4-7 years education0.250.430.390.490.15***0.04
Woman has more than 8 yearseducation0.400.490.600.49-0.20***0.05
Family size6.32.45.82.3-0.5**0.2
Dry season at first interview0.290.460.280.45-0.010.04
Wet season at first interview0.270.450.230.42-0.040.04
Number of observations215-255---
"} {"image_path": "images/8511b3a56714a7c792fa9bbcf3e6dc17.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Hawker and Connell (1989)ANZECC (2000)Present study
InshoreOffshoreInshoreOffshore
Chlorophyll- $a\\left(\\mu \\mathrm{gl}^{-1}\\right)$0.590.7-1.40.5-0.90.5-0.60.3-0.5
Phosphate (FRP) $\\left(\\mu \\mathrm{g} 1^{-1}\\right)$0.2552-53-83-4
Ammonium $\\left(\\mu \\mathrm{gl}^{-1}\\right)$0.651-101-6
Nitrate + nitrite $\\left(\\mu \\mathrm{gl}^{-1}\\right)$1.312-81-4
$DIN^a (\\mu g l^{-1})$23-182-101-51
$\\mathrm{TP}\\left(\\mu \\mathrm{gl}^{-1}\\right)$151015-2012-20
TN $\\left(\\mu \\mathrm{gl}^{-1}\\right)$100100145-155120-135
"} {"image_path": "images/48a2754eb122853988d8a9cc507a3f4c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Run. No.tTES$Response^a$
135403510395,221
210403510244,877
335403510382,750
420494413275,604
535403510368,947
62031447166,968
75049447314,858
835403510346,743
935553510375,878
1035403515308,060
113540355326,523
1235253510185,186
1350312613438,102
1420492613538,528
1535405010274,873
165049267685,996
1760403510430,919
182031267415,178
19354020101,144,920
2035403510380,232
2135403510341,190
2250314413240,786
2335403510346,816
"} {"image_path": "images/74a07d048cda0a692d589f783090df95.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Set ASet BSet C
Spectral range $\\left(\\mathrm{cm}^{-1}\\right)$14,000-14,000-13,500-
800080008500
Sample volume $\\left(\\mathrm{cm}^{3}\\right)$100100100
Optical path (cm)101010
Spectra resolution $\\left(\\mathrm{cm}^{-1}\\right)$1688
Number of scans646472
Cell materialQuartzQuartzQuartz
Time of one measurement (min)2-33-42-3
Number of measurements (persample)33-53
"} {"image_path": "images/68efbe05fdefd4a0d85ee12ec17cf260.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
C=/10.50.50.50.50.50.50.750.50.625
0.510.50.50.50.50.50.750.50.625
0.50.510.50.50.50.50.750.50.625
0.50.50.510.50.50.50.50.750.625
0.50.50.50.510.50.50.50.750.625
0.50.50.50.50.510.50.50.750.625
0.50.50.50.50.50.510.50.50.75
0.750.750.750.50.50.50.510.50.75
0.50.50.50.750.750.750.50.510.75
0.6250.6250.6250.6250.6250.6250.750.750.751
"} {"image_path": "images/e9e88fa9e81a37baa2c74a9257091a8d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.Case$o(G_{i}) $
I $\\left(x^{3}=z^{2}=(x z)^{2}=y^{2}=(z y)^{2}=1\\right)$
1. xyxyxy=124
2. xyxyxyxy=148
3.xyxyxyxyxy=1120
4.xyxyxyxyxyxy=1
5. $xyxyxyx^{-1} yx^{-1} yx^{-1} y$=196
6.$ z x y x y x^{-1} y x^{-1} y x y x y=1 $120
II $\\left(x^{3}=y^{4}=\\left(x y^{2}\\right)^{2}=1\\right)$
7.xyxyxyxy=136
8.xyxyxyxyxy=16
9.xyxyxyxyxyxy=1120
10.$y^{-1} xyxyxyxyxyxy=1$12
11.$y^{2}xyxyx^{-1}yx^{-1}yxyxy=1$108
"} {"image_path": "images/4aaae468a5eadfb5c898a58b5130f16f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TSOBIdefSOBIsym
$H_0^{(1)}$$H_0^{(2)}$$H_0^{(3)}$$H_0^{(all)}$$H_0^{(1)}$$H_0^{(2)}$$H_0^{(3)}$$H_0^{(all)}$
5005.506.167.988.285.846.367.428.38
10005.625.466.706.505.965.166.926.58
10 0004.325.265.264.624.465.505.044.66
"} {"image_path": "images/3b9ba8d452c3657a637dbf9fbc0b7a46.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$I$, A$\\tau_{pu},$ μsec$\\tau_{pa}, $ μsec$V_{1},\\ mm^{3}\\cdot min^{-1}$$V_{2},\\ mm^{3}\\cdot min^{-1}$
SVERKER3 Steel
4.51034.44.5
4.55074.24.2
910313.815
950717.418.3
92001510.410.4
13.52023537.6
13.5100933.534
1810241.242.2
1820251.652.7
1850457.156.5
18100957.457.2
182001553.753.6
2720280.680.7
271009102.5102.5
275003286.485.1
ARNE Steel
912316.314.5
950619.420.3
92001219.919.2
184332.935.7
1812442.942
18501250.353.7
182002557.758.7
36639498.2
36254132.3134.4
3610012138.1139.7
"} {"image_path": "images/f623650f16f89bc490cb4f5fabf980e3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
表面类型粗糙度(μm)温度(℃) 压 力$\\left(10^{5} \\mathrm{Pa}\\right)$ 热阻$1 / h c$(10$^{-4} \\mathrm{m}$· ℃/W)
416不锈钢,研磨,空气2.5490~2003~252.64
304不锈钢,研磨,空气1.142040~705.28
416不锈钢,研磨,带有 25.4μm 黄铜填片,空气2.5430~20073.52
研磨,空气2.5415012-250.88
带有 25.4μ m 黄铜0.2515012-250.18
填片,空气2.5415012-2001.23
研磨,空气1.272012~2000.07
研磨,空气3.812010-500.18
真空0.2530.7-700.88
"} {"image_path": "images/bfdde273fbc2aed68da191d17b4ca82c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IndexCompositionsBand gap energyUrbach energy
($E_g$) eV ± 0.01($E_U$) eV ± 0.01
1x=0.02.47.9
2x=0.052.344.6
3x=0.102.324.8
4x=0.1752.273.3
5x=0.202.293.4
6x=0.252.312.7
7x=0.302.342.8
8x=0.902.352.4
9x=0.952.392.0
10x=1.02.442.2
"} {"image_path": "images/2bde8308d5a19ec838c786064dce2ce3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
q(kW/$m^2$)SPT = 40 ℃SPT = 45 ℃SPT = 50 ℃
1.622.42.81.622.42.81.622.42.8
$\\psi_{PCM}$ = 0.0945725510460131096567059517951265850745
$\\psi_{PCM}$ = 0.5353523501900148040752670216016954850305524451895
$\\psi_{PCM}$ = 1.0585038303080250564354420354028957485497539453200
"} {"image_path": "images/d25a6b6746753a9a05f32b6349fdf7fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ElectrocatalystPdAg/C (Pd:Ag)PdNi/C (Pd:Ni)
Atomic composition (÷10)10:09:18:27:35:59:18:27:35:5
$Q_{ox}/C$33.435.422.749.434.653.648.232.738.8
$n_{exp}$6.46.37.77.28.09.54.89.212.0
"} {"image_path": "images/55785a131ec51fe41a20c076fa06f913.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
a/W0.0000.0010.0020.0030.0040.0050.0060.0070.0080.009
0.4007.947.977.978.018.038.058.078.108.128.14
0.4108.168.198.218.238.258.288.308.328.358.37
0.4208.398.48.428.468.498.518.538.568.388.61
0.4308.638.658.688.708.738.758.788.808.838.85
0.4408.888.908.939.958.989.019.039.069.089.11
0.4509.149.169.199.229.249.279.309.329.359.38
0.4609.419.439.469.499.529.559.579.609.639.66
0.4709.699.729.759.789.819.849.869.899.929.95
0.4809.9810.0210.0210.0810.1110.1410.1710.2010.2310.26
0.490 10.3010.3310.3610.3910.4210.4610.4910.5210.5510.59
0.50010.6210.6510.6910.7210.7610.7910.8210.8610.8910.93
0.51010.9611.0011.0311.0711.1011.1411.1811.2111.2511.29
0.52011.3211.3611.4011.4311.4711.5111.5511.5911.6211.66
0.53011.7011.7411.7811.8211.8611.9011.9411.9812.0212.06
0.54012.1012.1412.1912.2312.2712.3112.3512.4012.4412.48
0.55012.5312.5712.6112.6612.7012.7512.7912.8412.8812.93
0.56012.9713.0213.0613.1113.1613.2113.2513.3013.3513.40
"} {"image_path": "images/f3955850b10fd29de15dc5ea3b1b242c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Classn$\\mathrm{Class~mean^b}$${\\text{Interception}^{\\mathrm{b}}}$${\\text{Throughfall}^{\\mathrm{b}}}$
${\\frac{1}{2}R}$1R${\\frac{1}{2}R}$1R
$\\text{Crown length}{ (m)^c}$
Class 1145.5 (1.5)$3.5(0.5)^{*} $1.7 (0.4)14.4 (0.8)16.4 (0.7)
Class 21311.0 (2.6)4.4 (1.1)1.7 (0.6)13.4 (1.3)16.1 (1.1)
$\\text{Crown diameter}{ (m)^d}$
Class 1148.4(2.4)3.8 (1.0)1.6 (0.9)14.0 (1.2)16.2 (1.1)
Class 21313.3 (1.5)4.1 (1.0)1.6 (0.6)13.8 (1.2)16.3 (0.7)
"} {"image_path": "images/feb64975ae133c8522d6932a07769151.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FactorLevel
-2-1012
Time (min)20406080100
Temp (°C)135150165180195
ChCl (mM)01234
BA (mM)02468
"} {"image_path": "images/942e4312c9d965860b3bae3c5e16f466.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ligand/complexColorMol.massCalculated (found) (%)
CHN
HLYellow30770.3(70.0)5.6(5.9)13.7(13.9)
$[RuCI(CO)(PPh_3)L]$Yellow73360.6(60.1)4.3(4.7)5.7(6.0)
$[RuCl(CO)(AsPh_3)L]$Green77757.2(57.8)4.0(4.6)5.4(5.7)
[RuCl(CO)(py)L]Brown55052.4(52.8)3.9(3.1)10.2(10.8)
"} {"image_path": "images/145bd8631ccd7442e21f1bb2dcf56976.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Shot #$q_{95}$FDPTCPT$Q_{\\parallel\\text{calc}}^{\\text{LCFS}}$$[\\text{MW/m}^2]$
$\\lambda _{q} [m]$$Q_{\\parallel\\text{exp}}^{\\text{LCFS}}$$[\\text{MW/m}^2]$ $\\lambda _{q}[m]$$Q_{\\parallel\\text{exp}}^{\\text{LCFS}}$$[\\text{MW/m}^2]$
39126.20.00729±70.005555±1460
0.0210.025
60424.30.00490±200.0037$220\\pm55$ 135
0.0450.035
"} {"image_path": "images/9e7ac341813fddc173e8a0fe15bab3a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableModel 1 ORModel 2 OR % Change in OR(FromModel 1 to Model 2)
Youth gender$1.027$$1.018$
Age$.833^{***}$$.831^{***}$
CBCL total problem$1.054^{***}$$1.054^{* * *}$
Household income$1.036^{***}$$1.034^{* * *}$
Parental education$1.318^{*}$$1.278$
Parent gender$1.162$$1.176$
$\\text{African Americans}^a$$.835$$.955$14.4 14.4
$\\text{Asian/Pacific Islanders}^a$$.334^{**}$$.385^{**}$15.3
$\\text{Latinos}^a$$.705^{*}$$.894$26.8 26.8
$\\text{Affinity to Alternative culture (medium)}^{b}$$1.128$
$\\text{Affinity to Alternative culture (high)}^{b}$$.513^{**}$
"} {"image_path": "images/d8cb6f2a27f400373506a884d504ace4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Extraction temperature40 ℃ 80 ℃
Seed particle size$d_1$$d_2$$d_3$$d_1$$d_2$$d_3$
CSMR $\\left(g_{\\mathrm{CO}_2} / g_{\\text {seed }}\\right)$Total yield (%)$^{\\mathrm{a}}$
252.72.93.22.02.22.3
604.15.86.35.46.67.3
9514.48.4
"} {"image_path": "images/2465ff139e7c7c59f325d7232be6f62d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temperature(°C)$t_{0.5^{\\prime}}$(s)$\\alpha\\times10^{6}$$(s^{-1})$$\\beta z\\times10^{3}$$(s^{-1})$$\\gamma\\times10^1$$(s^{-1})$$k_{+}$$n_{c}$
140138000.260.260.310.2327
15047600.790.790.920.2327
16020201.91.92.20.2327
1709204.14.14.80.2327
"} {"image_path": "images/2e0594232571c8ef3f5eea496c5b42bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$x_{D}$ $B_{0}$$\\Delta G_A^*(298.15\\mathrm{~K})$ $B_{1}$$\\Delta S_A^*(298.15\\mathrm{~K})$$B_{2}$$\\Delta H_A^*\\mathrm{(298.15~K)}$
0.0$\\mathrm{2064^a}$-4.9-0.461603
0.02222455-18.50.155-3061
0.04863022-18.4-0.170-2464
0.08064002-34.80.075-6374
0.10725382-56.30.404-11404
0.13847515-90.10.660-19348
0.169810847-117.70.912-24245
"} {"image_path": "images/00cac4a7a43119455ca7211b10441a10.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OriginSexThyroidalstatus No.ofsubjectsRegression equationfor ySD of ygiven x$ t\\text{-test}\\dagger $
AustraliaMeuthyroid4132.530-0.0040x0.2006.26**
Mhyperthyroid412.420-0.0014x0.1950.74
Feuthyroid5442.501-0.0022x0.1744.21**
Fhypothyroid332.443-0.0022x0.2111.07
Fhyperthyroid3042.397-0.0010x0.2231.09
United StatesMeuthyroid1742.523-0.0033x0.1594.94**
Mhypothyroid102.715-0.0106x0.2642.36*
Mhyperthyroid252.496-0.0035x0.1931.20
Feuthyroid2042.571-0.0041x0.1587.09**
Fhypothyroid242.331-0.0016x0.2380.43
Fhyperthyroid372.412-0.0028x0.2111.26
"} {"image_path": "images/3baef8d656537d1a70e667c2f3886b90.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\ell $k
0123
0$6.5 \\pm 0.1915$$13.3 \\pm 0.2106$$20.8 \\pm 0.3052$$29.4 \\pm 0.4673$
0.08,0.90.16,1.80.25,2.80.34,3.7
7.9%8.2%8.9%10.2%
1$27.6 \\pm 0.5234$$47.9 \\pm 0.5379$$65.6 \\pm 0.5179$$82.9 \\pm 0.5670$
0.33,4.00.57,6.50.76,8.60.96,10.4
33.4%23.1%19.8%19.6%
2$49.8 \\pm 0.5761$$ 83.8 \\pm 0.9875 $$113.0 \\pm 1.0503$$138.3 \\pm 0.9103$
0.59,6.90.99,11.21.31,14.41.59,16.9
58.6%39.6%32.3%27.7%
3$65.4 \\pm 0.8160$$116.6 \\pm 1.2231$$ 157.2 \\pm 0.9471 $$193.4 \\pm 1.2399$
0.78,8.91.34,15.11.80,19.52.16,23.0
78.0%56.5%44.2%37.2%
"} {"image_path": "images/78bd02426d4a4de09480d63d1e8c2457.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
273458619
965317248
814692537
542961873
698573421
731824965
129786354
386145792
457239186
"} {"image_path": "images/a39ad2c375743b9c407b4d4118aa5b90.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T,K$10^{3}_{xM},^{a}cgsu$$\\mu_{\\mathrm{eff}}/$$\\mathrm{Cu},\\mu_{\\mathbf{B}}$T, K$10^{3}_{xM},^{a}cgsu$$\\mu_{\\mathrm{eff}}/$$\\mathrm{Cu},\\mu_{\\mathbf{B}}$
ObsdCalcdObsdCalcd
297.52.3852.4181.6891.34.7734.7391.32
260.92.6822.6831.6778.54.7334.7361.22
235.92.8852.8981.6562.64.3674.3751.05
202.73.2123.2381.6154.53.8763.9280.91
193.13.3813.3501.6247.53.3063.3430.79
144.54.0544.0181.5343.02.9052.8630.71
100.74.6494.6581.3739.12.4292.3910.62
"} {"image_path": "images/e16f29d7de6cabe285b0cbb4ed13509b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Subgroup A: Junior executives
Planning ability0.180.19**0.140.150.140.15
Locus of control0.300.28**0.300.28**0.280.26**
Work significance0.460.40**0.490.43**0.440.39**
Work stress-0.18-0.21*-0.12-0.14
Job burnout-0.12-0.16
$R^{2}$0.360.420.43
"} {"image_path": "images/2ba6979b3ff410f1379f72b01b31f335.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reflectionhkl$60\\%$ dislocationsEdge dislocations
$K_{\\perp}$$K_{\\parallel}$$K_{\\perp}$$K_{\\parallel}$
0 0 419.5777.22911.8058.347
1 1 316.6043.86710.5874.230
2 2 425.5594.14617.7084.733
1 1 525.5937.89915.6918.765
3 3 534.6335.32024.5056.136
4 4 434.8218.93122.3999.465
1 1 735.05711.79121.3098.765
"} {"image_path": "images/c057cef83e763fb4169f256b0fe9b577.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nomenclature
kthermal conductivity (W/(m K))hheat transfer coefficient $(\\mathrm{W} / \\mathrm{m}^{2} \\mathrm{~K})$
$c_p$specific heat $(\\mathrm{J} /(\\mathrm{kg} \\mathrm{K}))$Ttemperature (at cable surface) $\\left({ }^{\\circ} \\mathrm{C}\\right)$
$c_w$specific heat of liquid water $(\\mathrm{J} /(\\mathrm{kg} \\mathrm{K}))$$T_0$reference temperature (ambient) $\\left({ }^{\\circ} \\mathrm{C}\\right)$
$μ$dynamic viscosity (Pa s)$l_e$latent heat of evaporation $(\\mathrm{J} / \\mathrm{mol})$
$ρ$density $\\left(\\mathrm{kg} / \\mathrm{m}^{3}\\right)$$p_s$saturation vapour pressure at cable surface (Pa)
$ρ_0$density (reference) $\\left(\\mathrm{kg} / \\mathrm{m}^{3}\\right)$$p_a$saturation vapour pressure in atmosphere (Pa)
rradius of cable (m)pvapour pressure (Pa)
$\\tilde{r}$effective cable radius (m)$\\kappa_i$correction factor (number i) (-)
Llength of cable (m)Wliquid water content (-)
$\\nu$wind velocity (local) $(\\mathrm{m} / \\mathrm{s})$Ecollection efficiency (-)
$v_0$wind velocity (incoming) $(\\mathrm{m} / \\mathrm{s})$PrPrandtl number (-)
Rresistance per meter cable (ohm/m)ReReynolds number (-)
Pheating effect(W)$θ$angle between wind flow and cable (degrees)
$W_m$heating effect per meter $(\\mathrm{W} / \\mathrm{m})$$\\sigma$Stefan Boltzmann's constant $\\left(\\mathrm{W} / \\mathrm{m}^{2} \\mathrm{~K}^{4}\\right)$
Qheating effect per volume $\\left(\\mathrm{W} / \\mathrm{m}^{3}\\right)$$\\varepsilon_{\\text{u}}$emissivity (-)
Iapplied current(A)$k_eff$resistive heating efficiency factor (-)
"} {"image_path": "images/edb29729e1c05529bfd5333a67b39ef3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GroupnPretestPosttestFollow-upPre-Post$Effect^{a}$$Pre-Follow-up $$ Effect^{a}$
MSDMSDMSD
MMR and LD
Experimental4211.36.531.95.431.75.53.453.39
Comparison4212.56.718.28.218.08.90.760.70
MMR
Experimental216.74.327.94.227.84.94.994.58
Comparison218.04.913.46.013.16.90.990.85
LD
Experimental2115.94.935.83.235.52.64.815.00
Comparison2117.05.223.17.222.98.20.970.86
"} {"image_path": "images/b31a2ce74ea57c5d2201e9f12c42d4b0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Macromonomer$^{1} H\\ NMR$$GPC^{c}$
$n^{a}$$f^{b}$$M_{w}/M_{n}$
$C_{1}-PEO-C_{1}-S-12$120.90$1.1_{4}$
$C_{1}-PEO-C_{1}-S-17$171.0$1.0_{9}$
$C_{1}-PEO-C_{1}-S-22$220.92$1.0_{8}$
$C_{1}-PEO-C_{1}-S-50$500.98$1.0_{6}$
$C_{1}-PEO-C_{4}-S-50$500.93$1.10_{7}$
$C_{1}-PEO-C_{1}-S-113$1130.97$1.0_{4}$
"} {"image_path": "images/a69c45d424b34155414589cd261beef4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SpecificationsThe rangeCopper slag
Chemical requirementsSulfur trioxide $(\\mathrm{SO}_{3})$ (%)Max, 4.00.72
Chloride (%)Max, 0.10.09
MgO (%)Max, 51-5
Loss on ignition (%)Max, 10.00.3
$\\mathrm{SiO}_2+\\mathrm{Al}_2\\mathrm{O}_3+\\mathrm{Fe}_2\\mathrm{O}_3$ (%)Min, 7076
Physical requirementsMoisture content (%)Max, 3.00
Amount retained when wet-sieved on 45 μm sieve (%)Max, 3440
Strength activity index, at 7 days, percent of control (%)Min, 7575
Strength activity index, at 28 days, percent of control (%)Min, 7580
"} {"image_path": "images/5d6fb16562ad39f44fdc073c0cc9717c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model ParameterSymbolValueReferences
Rate of drinking LI V. cholerae$\\beta_L$1.5/wka
Rate of drinking HI V. cholerae$\\beta_H$Variable
Non-HI V. cholerae infectiousconcentration($IC_{50}$)$\\kappa_L$$10^6$ cells/ml[9]
HI V. cholerae infectiousconcentration($IC_{50}$)$\\kappa_H$$\\kappa_L$ ÷ 700b
Natural human birth and death rateb$(30\\ yr)^{-1}$c
Rate of decay from hyper-to reducedinfectiousness$\\chi$$(5\\ h)^{-1}$[7]
Rate of contribution to Hl V. choleraein aquatic environment$\\xi$10cells/ml-day[9]
Net death rate of non-Hl vibrios in theenvironment$\\delta_L$$(30\\ d)^{-1}$[2,14]
Rate of recovery from cholera$\\gamma$$(5\\ d)^{-1}$[14,15]
"} {"image_path": "images/151e8f0da7bbc646b2ba5fe940bc2938.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RunP$\\cos \\theta_\\beta$$A_\\beta^s\\left(\\theta_\\beta\\right)$$A_\\beta$
1$ 0.701 \\pm 0.004 $$-0.944 \\pm 0.006$$-0.209 \\pm 0.005$$0.334 \\pm 0.011$
$0.950 \\pm 0.006$$0.211 \\pm 0.006$$0.335 \\pm 0.012$
2$0.715 \\pm 0.006$$-0.932 \\pm0.010$ $-0.220\\pm 0.007$ $0.348 \\pm 0.014$
$0.927 \\pm 0.010$$0.231 \\pm 0.007$$0.367 \\pm 0.015$
3$0.718 \\pm 0.006$$-0.931 ± 0.010$$-0.230\\pm0.007$$0.363 \\pm 0.014$
$0.931 ± 0.010$$0.224 \\pm 0.007$$0.354 \\pm 0.015$
4$0.713 \\pm 0.006$$-0.935 \\pm 0.011$$-0.187 \\pm 0.008$$0.296 \\pm 0.015$
$0.939 \\pm 0.011$$0.208 \\pm 0.008$$0.328 \\pm 0.015$
"} {"image_path": "images/f8f14042d1127f2fb1a5559382f7782e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ReferencePopulation studied$BA^{-1}$ from marriagesof first cousinscompared withunrelated couples
racialclassifica-tionlocation
Neel $(1963)^a$NegroesBrazil6.9
Neel (1963)NegroesBrazil7.6
Freire-Maia (1963)NegroesBrazil9
Freire-Maia and Azevedo (1971)NegroesBrazil3
Neel (1963)AfricansTanganyika-1.0
Neel (1963)JapaneseHiroshima6.3
Neel (1963)JapaneseNagasaki1.7
Neel (1963)CaucasiansBrazil-0.0
Neel (1963)CaucasiansBrazil-0.6
Freire-Maia (1963)CaucasiansBrazil1.0
Freire-Maia and Azevedo (1971)CaucasiansBrazil3
Neel (1963)CaucasiansU.S.A.7.2
Neel (1963)CaucasiansChicago, U.S.A.6.6
Neel (1963)CaucasiansMubihar, France20.2
Neel (1963)CaucasiansLoir-et-Cher, France13.1
Neel (1963)CaucasiansN. Sweden-3.0
Neel (1963)JapaneseShizuoka rural-0.1
Neel (1963)JapaneseShizuoka suburban6.3
Neel (1963)JapaneseShizuoka urban7.0
Kumar et al. (1967)IndiansKerala20
Roberts $(1969)^b$IndiansKerala14.8
"} {"image_path": "images/482831cb3c93f68dde95c5170140fa60.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
用地分类用地代码类别名称内 容
城市建设用地HR居住用地住宅和相应服务设施的用地
A公共管理与公共服务用地行政、文化、教育、体育、卫生等机构和设施用地,不包括居住用地中的服务设施用地
B商业服务设施用地商业、商务、娱乐康体等设施用地,不包括居住用地中的服务设施用地
M工业用地工矿企业的生产车间、库房及其附属设施用地,包括专用铁路、码头和附属道路、停车场的用地,不包括露天矿用地
W物流仓储用地物资储备、中转、配送等用地,包括附属道路、停车场以及货运公司车队的站场等用地
S道路与交通设施用地城市道路、交通设施等用地,不包括居住用地、工业用地等内部的道路、停车场等
U公用设施用地供应、环境、安全等设施用地
G绿地与广场用地公园绿地、防护绿地、广场等公共开放空间用地
非建设用地E非建设用地水域、农林用地及其他非建设用地
"} {"image_path": "images/e6d9454dd2751662eed18c5d4c656ee4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathrm{Si}_4 \\mathrm{I}_{8}$$\\mathrm{Si}_{5} \\mathrm{I}_{10}$$\\mathrm{Si}_{6} \\mathrm{I}_{12}$
RamanIRRamanIRRamanIR
56 m55 sh50 sh64 m46 m110 w
71 s88 s60 m93 s54 s235 vs
83 w229 sh83 mw111 s62 s330 m
100 vw242 vs100 m242 vs98 m340 sh
115 s264 w104 m304 s134 vs395 m
122 w333 vw134 vs390 vs293 vw405 s
136 vs380 w304 w400 vs386 w468 w
163 vw400 s335 w463 m407 w
174 vw480 m389 w475 s453 w
208 vw406 w488 s500 w
327 m464 w
344 w, sh495 w
388 w
398 w
503 w
"} {"image_path": "images/5eb37a64b366734e263a092ca9bf850a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
游 戏 名 称计票游 戏 名 称计票
111最终幻想 8 (PS、SQUARE、RPG)297432121GT 赛车 2 (PS、SCEI、RAC)3195
22生物危机 3·最终逃脱(PS、CAPCOM、AVG)242902220R4·山脊赛车类型4 (PS、NAMCO、RAC)3117
33寄生前夜 2 (PS、SQUARE、AVG+RPG)163262323合金弹头X (ARC、SNK、STG)3071
44世界足球·实况胜利十一人4(PS、KONAMI、SPG)137942426大航海时代4 (PS、KOEI、SLG)2665
55'99格斗之王·千年之战 (ARC、SNK、FTG)121422522‘98格斗之王·梦战斗未结束(PS,SNK,FTG)2646
66生物危机 2(PS、CAPCOM、AVG)116522625恐龙危机 (PS、CAPCOM、AVG)2327
77'97格斗之王 (ARC、SNK、FTG)86372727仙剑奇侠传 (SS、SOFTSTAR、RPG)2267
88合金装备·索利德 (PS、KONAMI、ACT)74982833北欧战神传 (PS、ENIX、RPG)2076
99最终幻想 7 (PS、SQUARE、RPG)71442930彩之爱歌 (PS、KONAMI、AVG)1974
1011龙骑士传说 (PS、SCEI、RPG)65813030格兰蒂亚 (SS、GAME ARTS、RPG)1943
1110穿越时空 (PS、SQUARE、RPG)65383131宿命传说 (PS、NAMCO、RPG)1767
1213口袋妖怪·金银(GB、NINTENDO、RPG)63283232 32'97格斗之王 (SS、SNK、FTG)1754
1312合金弹头 2 (ARC、SNK、STG)55823333寂静岭 (PS、KONAMI、AVG)1621
14 1515'98格斗之王·梦战斗未结束 (ARC、SNK、FTG)49433434吞食天地2·赤壁之战 (ARC、CAPCOM、ACT)1609
15 1414寄生前夜 (PS、SQUARE、RPG)48653535侍魂·天草降临(ARC、SNK、FTG)1454
1617铁拳 3 (PS、NAMCO、3D-FTG)379036放浪冒险谭 (PS、SQUARE、AVG + RPG)1416
1716圣剑传说·玛娜传奇(PS、SQUARE、A·RPG)37123737生物危机 (PS、CAPCOM、AVG)1410
1818樱大战 2·望君珍重(SS、SEGA、AVG + SLG)36093836铁拳 3 (ARC、NAMCO、3D FTG)1354
1919'97格斗之王 (PS、SNK、FTG)33163938月华的剑士 2 (MVS、SNK、FTG)1329
2024'99格斗之王·千年之战 (PS、SNK、FTG)32724040打击者 1945·2 (ARC、彩京、STG)1316
"} {"image_path": "images/ee541fd6e326aaa55291ad15776e5f6b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nr.$\\frac{\\vartheta}{2}$$\\sin\\frac{\\vartheta}{2}$$\\sin\\frac{\\vartheta}{2}\\cdot0.798$Intensit$\\ddot{a}$ten$\\sin^2\\frac{\\vartheta}{2}\\cdot10^4,~beob.$
013° 02'0.22580-1802st.
114° 24'0.24870.1985sst.394
219° 41'0.33680-2681m.
321° 48'0.37140.2964st.879
425° 33'0.43180-3446s.-m.1187
527° 45'0.46560.3717s.-m.1381
629° 06'0.48630.3880ss.1505
729° 54'0.49850.3978ss.1582
830° 53'0.51330.4096m.-st.1677
931° 48'0.52700.4205ss.1768
1033° 18'0.54900.4381ss.1919
1134° 49'0.57100.4557m. 2076
1238° 30'0.62250.4968s.-m.2468
1342° 06'0.67040.5350s.2862
1443° 00'0.68200.5442ss.2960
1544° 36'0.70220.5606ss.3143
1645° 51'0.71550.5728s.3280
1748° 24'0.74780.5970ss.3564
1850° 00'0.76600.6116S.-m.3740
1953° 06'0.79970.6381S.-m.4071
2057° 42'0.84530.6745s.4549
2159° 27'0.86120.6872s.4722
2261° 51'0.88170.7036s.4950
2364° 03'0.89920.7175ss.5148
2466° 24'0.91640.7313ss.5348
2568° 54'0.93300.7445ss.5542
2679° 18'0.98260.7840s.6147
"} {"image_path": "images/6e6fd174939ae62c6ba9085d40e772a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Starting material$T/^\\circ\\text{C}$StartingmaterialIndanone (6) Hydroxyalkynesα,β-UnsaturatedaldehydesOthercompounds
3(5)-Phenylpyrazolin-5(3)-one(2)60048 (2)18 (6)11 (7)19 (8+9)
7000 (2)30 (2)20 (7)33 (8+9)
3(5)-Methoxy-5(3)-phenylpyrazole (3)50086 (3)14 (2)
60065 (3)2 (6)10 (7)2 (8+9)20 (2)
7008 (6)13 (7)60 (8+9)10 (2) + 9 (styrene)
80020 (6)19 (7)20 (8+9)41 (styrene)
3(5)-Methylpyrazolin-5(3)-one (4)60055 (4)14 (10)29 (11+12)
70028 (10)71 (11+ 12)
"} {"image_path": "images/383d47a60c456525fcc2a12d698ddca0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
InterferentConcentration(mol/L)Relative fluorescencechange value (%)$(\\Delta F^{a}/F) \\times 100$
NaCl$1.0×10-^{3}$ 0.05
KCI$1.0×10-^{3}$ -0.21
$Li_{2} SO_{4} ·H_{2} O$$5.0×10-^{4} $-0.16
$MgSO_{4}$$1.0×10-^{3}$ 0.37
$Al_{2} (SO_{4} )_{3} ·18H_{2} O$$5.0×10-^{4}$0.79
$Ca(CH_{3} COO)_{2} ·H_{2} O$$1.0×10-^{3}$ 1.27
$Mn(CH_{3} COO)_{2} ·4H_{2} O$$1.0×10-^{3}$ -4.98
$HgNO_{3} ·H_{2} O$$1.0×10-4^{4}$3.65
$NiCl_{2} .6H_{2} O$$1.0×10-^{3}$ 2.79
$Co(CH_{3} COO)_{2} ·4H_{2} O$$1.0×10-^{3}$ -2.37
$CuCl_{2} .2H_{2} O$$1.0×10-^{3}$ 1.06
$Zn(CH_{3} COO)_{2} ·2H_{2} O$$1.0×10-^{3}$ -4.54
$CdCl_{2} .2.5H_{2} O$$1.0×10-^{3}$ -1.48
$AgNO_{3}$ $1.0×10-^{4}$ -1.66
$FeCl_{3} ·6H_{2} O$$1.0×10-^{5}$ -4.54
$Pb(NO_{3} )_{2}$ $1.0×10-^{4}$ -2.14
Urea$1.0×10-^{3}$ -0.47
Hexadecyltrimethylammonium chloride$1.0×10-^{3}$ -3.03
Tetrabutylammonium bromide$1.0×10-^{3}$ 2.19
"} {"image_path": "images/0364bf168b130bb80dc0a18b80637de8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1980年(万)工业建筑业农林水气运输、邮电商饮服物
27.721.991.122.416.33
2006年(万)采矿制造电、气、水建筑业交通、邮政
0.945.571.7112.982.99
租赁、商务服务科技、地勘水利、环境、公设居民等服务教育
1.52.470.850.1530.37
1980年(万)城市公用科学研究文教卫生金融国家机关
0.350.116.250.371.82
2006年(万)信息、计算机批零住宿、餐饮金融、保险房地产
0.945.571.7112.982.99
卫生、社保、福利文体、娱乐公共管理信息传输、计算机农林牧渔
13.52.2629.663.480.25
"} {"image_path": "images/21c8835194267a57f38ec7a91750d1fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A$\\Delta A$n$\\Delta n$Parameter
0.6480.056-1.7220.157$K_o$
-1.4030.4752.0000.656K
-9.8150.736-1.4361.503a $(\\mathbf{\\mathring{A}})$
A'$\\Delta A’$n'$\\Delta n^{\\prime}$Parameter
-2.0670.1825.4180.466$K_o$ [11]
-0.7673.3081.1524.732K [11]
-1.1170.0773.5960.183$K_o$ [12]
18.31222.001-25.73731.555K [12]
"} {"image_path": "images/28b5748cbef1edd194bec5322f24a1f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GlacierApproximateelevationm a.s.l.Periodof studyAccumulationratekg $m^{-2}~{year}^{-1}$Ablationratekg $m^{-2}~{year}^{-1}$ Reference
Barnes Ice Cap4501974-762 070Ommanney (1977)
Devon ice capsea-level0-1 3001961-761961-761 380R. M. Koerner, on file
Melville Island1963-75230350Personal communicationfrom W. S. B. Paterson
Leffert0- 500900+Personal communicationfrom G. Holdsworth
White Glaciersea-level150- 8501960-621960-621502 9401 000Müller (1963)Arnold (1965)
Meighen Ice Cap50- 2501959-76200300 Personal communicationfrom W. S. B. Paterson
St Patrick Bayc. $75^{\\circ}-85^{\\circ}$1974-76160180 Hattersley-Smith and Serson(1970)
Gilman Glacier400-1 1001956-5970510+ Hattersley-Smith and others(1960)
Ward Hunt Ice Risesea-level1959-76*130250Hattersley-Smith and Serson(1970); Ommanney(1977)
Per Ardua Glacier450-1 1501967-681 160Ommanney (1977)
Decade Glacier450-1 0501965-70210680Ommanney (1977)
Coburg Islandc. 50- 5001974-751 100Personal communicationfrom F. Müller
"} {"image_path": "images/42234c96856581ad80bdc4740761869d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$E_\\gamma$ (MeV)$d \\sigma / d \\Omega$ ($\\mu b$/sr)
8.9±0.483±10
10.3±0.590±7
12.6±0.887±10
13.6±1.090±7
14.4±1.285±5
15.6±1.374±4
16.8±1.570±6
18.8±1.864±5
20.0±2.059±4
23.0±2.550±4
27.7±3.332±3
34.3±4.319±4
41.0±5.518±8
46.1±6.110±7
"} {"image_path": "images/4e14ca64c58e302a8c3f4dbac3b74383.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompoundSample,mgApprox.conc.of $H_2SO_4$, NS, %
Theor.Found
l-Thiosorbitol................5.159$2.5 \\cdot 10^{-3}$16.1816.02
Benzenesulfonic acid..........4.925$3.0\\cdot 10^{-3}$20.2720.13
1,2-Ethanedithiol.............4.894$1.0\\cdot 10^{-2}$68.0868.10
Sulfonmethane...............5.082$4.0\\cdot 10^{-3}$28.0928.30
"} {"image_path": "images/06c1ea7956bb169b6d1a0d10362d5fe2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Input ParameterBackground Selection Model Fit Parameter Estimates (approximate SE)
C$S_d$$π_O$U
U
0.500.34 (0.35)0.22 (0.23)120.7 (49.3)
0.100.054 (0.043)0.045 (0.046)153.8 (29.4)
0.050.026 (0.021)0.022 (0.023)157.9 (27.0)
0.010.0051 (0.0040)0.0044 (0.0046)161.2 (25.0)
0.0050.0026 (0.0020)0.0022 (0.0023)161.6 (24.8)
0.0010.00051 (0.00040)0.00044 (0.00046)161.9 (24.6)
$S_d$
0.10.13 (0.26)143.5 (52.2)0.23 (0.23)
0.020.023 (0.042)158.3 (29.7)0.045 (0.047)
0.010.012 (0.021)160.2 (27.1)0.023 (0.023)
0.0010.0012 (0.0021)161.8 (24.8)0.0023 (0.0023)
"} {"image_path": "images/dbe642f5bae7b8617ebc3dab51af49df.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Parameter$a^0$$a_1$$a_2$
Nitrobenzene
$A_v$7.88 × $10^{-5}$-8.069 × $10^{-8}$-3.756 × $10^{-10}$
$A_k$4.621 × $10^{-9}$-3.220 × $10^{-11}$5.397 × $10^{-14}$
1-Butanol
$A_v$6.14 × $10^{-3}$-3.85 × $10^{-5}$6.046 × $10^{-8}$
$A_k$1.42 × $10^{-10}$-9.174 × $10^{-13}$1.471 × $10^{-15}$
Anisole
$A_v$-27.81 × $10^{-3}$17.024 × $10^{-5}$-25.975 × $10^{-8}$
$A_k$2.671 × $10^{-10}$-1.608 × $10^{-12}$2.407 × $10^{-15}$
"} {"image_path": "images/2eb91ab76e05988cc4532b1b4b3b5626.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Autoceja nosaukumsSatiksme ierobezota posmaerobezojuma veidsDatums, no kura ierobežota satiksme
No kmLidz km
P23 Valka - Vireši34.48241.12510 t29.03.2018.
P34 Sinole -Zeltini -Silakrogs21.12040.54010 tatcelts
P39 Alüksne - Ape - Igaunijasrobeža24.04326.17610 t/c.z.Nr.306lerobezojumi speka visugadu
P41 Alüksne - Liepna2.39333.01810 t28.03.2018.
P42 Vilaka -Zaiceva -Krievijasrobeža16.12223.99010 t28.03.2018.
P42 Vilaka -Zaiceva -Krievijasrobeža24.00039.00010 t29.03.2018.
P42 Vilaka -Zaiceva -Krievijasrobeža39.00047.53910 t29.03.2018.
P44 Ilzene - Lizespasts0.00021.78310 t23.03.2018.
V368 Zvārtava - Vireši0.0001.46410 t19.03.2018.
V368 Zvārtava - Vireši2.50011.10710 t19.03.2018.
V371 Vireši - Dūre - Lejasciems0.00021.49010 t29.03.2018.
V372 Gaujiena - Lejaskrogs0.0008.12910 t19.03.2018.
V373 Gaujiena - Verasskola0.0002.35010 tlerobezojumi speka visugadu
V373 Gaujiena - Verasskola4.1005.05210 t19.03.2018.
V374 Mežslokas - Čonkas - Dūre0.0005.39410 t23.03.2018.
V375 Čonkas - Ilzenes muiža0.0004.30810 t23.03.2018.
"} {"image_path": "images/f7e4cf5a1510c4b5b7525b89de2874e2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Operating Parameters
Steam cycle pump isentropic efficiency85%
Refrigerant turbine isentropic efficiency80%
ORC pump isentropic efficiency (Ejector)85%
Nozzle efficiency90%
Mixing chamber efficiency85%
ORC turbine isentropic efficiency80%
ORC pump isentropic efficiency85%
Compressor pressure ratio12 (fixed)
Turbine inlet temperature1000-1200 (°C)
Condenser pressure0.06 (bar)
Pinch point temperature30 (K)
Approach temperature15 (℃)
Steam turbine inlet pressure30 - 70 (bar)
Working fluid of ORCR-113
ORC turbine inlet pressure1.5-3.5 (MPa)
ORC turbine outlet pressure0.05 (MPa)
"} {"image_path": "images/38b1e5e9d591cf619a01ab79ece738e6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CategoryAngiogenesisArteriogenesisMR Technique
MorphologySpatially heterogeneous, irregular diameter, arteriesand veins not differentiable, highly branchedTortuous, corkscrewlike,dilatedContrast-enhanced MR angiography, vessel size imaging
Function
Blood perfusionIncreasedIncreasedDynamic contrast-enhanced MR imaging, myocardialperfusion imaging
Blood flowIncreased, alternating directionIncreased, unidirectional,nonlaminarDynamic contrast-enhanced MR imaging with small-molecule contrast agent, myocardial perfusion imaging
Blood volumeIncreasedIncreasedDynamic contrast-enhanced MR imaging withmacromolecular contrast agent, vessel size imaging
PermeabilityIncreasedIncreased in early stage onlyDynamic contrast-enhanced MR imaging
"} {"image_path": "images/d8085737c9d906b21943a886a5694b3a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$W e(1,1)$n = 20n = 40n = 60
$\\hat{\\theta}$$\\widehat{b}$.998783.994317.994150
$\\widehat{c}$1.0635961.0296551.019258
mse.055893.025969.014047
$\\widehat{\\theta}_{Ko}$$\\widehat{b}$.9846511.006958.978376
$\\widehat{c}$1.5651951.1371341.185521
mse1.023289.121828.108134
$\\hat{\\theta}_{(-2)}$$\\widehat{b}$1.0087851.010294.985119
$\\widehat{c}$1.4231821.0847081.101808
mse.776172.106446.080867
$\\hat{\\theta}_{(-1)}$$\\widehat{b}$1.0136931.006479.980422
$\\widehat{c}$1.4062721.0675421.087102
mse.756604.097466.078229
$\\hat{\\theta}_{(-0.5)}$$\\widehat{b}$.9929161.000374.977708
$\\widehat{c}$1.3800891.0691381.081392
mse.739701.103279.07735
$\\hat{\\theta}_{(0)}$$\\widehat{b}$.976527.995429.9735
$\\widehat{c}$1.3692821.0528831.085483
mse.739195.093768.077515
$\\hat{\\theta}_{(1)}$$\\widehat{b}$.974568.982324.967026
$\\widehat{c}$1.4050061.062891.083276
mse.765451.098793.080175
"} {"image_path": "images/63beb7772099ef7ac8d0528b6b8be4b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ReactionsConversion(%)$M_{\\text{n,GPC}}$$(\\text{g/mol})$PDI dd(nm) dp(nm)Conversion(%) dp(nm)$M_{\\text{n,GPC}}$$(\\text{g/mol})$PDI
pSt Homopolymersp(St-2EHA-St) Block Copolymers
p(St25-2EHA50-St25)81.239,1191.3411915984.017773,8541.45
p(St15-2EHA50-St15)81.820,2041.2211615483.118742,8771.52
p(St15-2EHA70-St15)82.020,0441.2913016195.218751,0462.36
p(St15-2EHA100-St1582.020,0441.2913016196.320772,2032.6
"} {"image_path": "images/379d28fc179298a3709aaab3de4192d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
树 脂加工温度/℃弹性模量/GPa用 途
HMW-HDPE180~2301~1.6油箱、贮罐、桶、瓶
HDPE160~2201~1.6
MDPE150~2000.34医用包装瓶
LDPE130~1800.23瓶、空气导管
PP200~2200.7~1.4瓶、医用包装
PVC190~2053
PA240~2701.3工业制品、贮存器
POM150~1803.2工业制品
ABS200~2302.1~2.8工业制品
ABS/PC230~2502.2工业制品
改性PBT245~2601.8工业制品
PBT/PC240~2602.25工业制品、保险杠
"} {"image_path": "images/19ce5fc71e312b681ac9ab2323efcefd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SoilparameterHarvesting time points 2009
April 29th0 weeksMay 06th1 weekMay 13th2 weeksMay 26th4 weeksAugust 12th15 weeksNovember 30th30 weeks
pH$8.4 \\pm 0.1$$8.4 \\pm 0.1$$8.4 \\pm 0.1$$8.5 \\pm 0.1 $$8.5 \\pm 0.0$$ 8.3 \\pm 0.1$
TC [%]$0.42 \\pm 0.33$$0.44 \\pm 0.29$$0.47 \\pm 0.33$$0.47 \\pm 0.37$$0.44 \\pm 0.31$$0.49 \\pm 0.25$
TOC [%]$0.26 \\pm 0.10$$0.25 \\pm 0.11$$0.22 \\pm 0.08$$0.24 \\pm 0.05$$0.30 \\pm 0.12$$0.37 \\pm 0.14$
TN [%]$0.008 \\pm 0.003$$0.009 \\pm 0.004$$0.009 \\pm 0.002$$0.009 \\pm 0.003$$0.010 \\pm 0.004$$0.009 \\pm 0.004$
$C_{org}/N$$33.1 \\pm 5.3$$29.3 \\pm 8.1$$25.1 \\pm 3.7$$26.6 \\pm 5.3$$31.6\\ \\pm\\ 10.3$$42.2 \\pm 13.7$
$\\delta^{13}C$ TOC[‰ vs. V-PDB]$-26.1 \\pm 0.8$$-26.1 \\pm 0.7$$-26.2 \\pm 0.6$$-26.2 \\pm 0.7$$-27.2 \\pm 0.7$$ -27.5 \\pm 1.2 $
"} {"image_path": "images/72d4d5c2c55da0f7237e391d6bfd43e7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SubsequentmoveAntecedent move
INTDEVEVAHYPINFJUS
INT-4.54-5.87-6.28-5.02-6.46-3.97
DEV-1.9710.751.37-3.91-5.47-4.04
EVA0.46-0.975.85-6.34-3.18-3.72
HYP-2.32-3.59-3.8311.335.96-2.42
INF-3.16-6.88-4.72-1.1210.28-3.65
JUS-1.540.637.390.981.848.92
"} {"image_path": "images/e26c1debcb9aa4834b18be0bf9f18482.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2. 掌握油画棒材料并表现油画棒儿童画。
教学方法讲授法、讨论法、案例分析法、任务驱动法等
任务成果1.掌握油画棒表现儿童画的方法与技巧。2.呈现油画棒儿童画创作的相关作业图片。
模块三: 儿童绘本创作
任务 1: 儿童绘本场景表现学时: 6
教学目标素质目标知识目标能力目标
1.用心观察生活,丰富视觉、触觉和审美经验。2.有在绘画中自由表现的意识。3.有丰富的想象力与一定的创造表现力。1.了解儿童绘本在儿童心智发展阶段的的意义与作用。2.了解儿童绘本的表现方法。3.了解儿童绘本的指导与评价方法。1.掌握儿童绘本场景表现的方法。2.能选择合适的绘画材料表现的绘本场景。3.掌握儿童绘本的指导与评价的方法。
主要任务1. 掌握儿童绘本场景表现的方法。2. 掌握儿童绘本指导与评价的方法。
教学方法讲授法、讨论法、案例分析法、任务驱动法等
任务成果1. 掌握儿童画中绘本场景的表现方法与技巧。2. 呈现单幅的绘本创作作品两幅。
任务 2: 儿童绘本故事表现学时:6
教学目标素质目标知识目标能力目标
1.用心观察生活, 丰富视觉、触觉和审美经验。2.有在绘画中自由表现的意识。3.有丰富的想象力与一定的创造力。1.了解儿童绘本故事在儿童心智发展阶段的意义与作用。2.了解儿童绘本故事的表现方法。3.了解儿童绘本故事的指导与评价方法。1.掌握儿童绘本故事绘画风格统一,内容表达完整的方法。2.能选择合适的绘画材料表现的绘本故事。3.掌握儿童绘本故事的指导与评价的方法。
主要任务1. 掌握儿童绘本故事绘画风格统一,内容表达完整的方法。2. 掌握儿童绘本故事指导与评价的方法。
教学方法讲授法、讨论法、案例分析法、任务驱动法等
任务成果1. 掌握儿童画中绘本故事的表现方法与技巧。2. 呈现完整绘本故事创作作品两组 (四幅或八幅一组)。
模块四: 传统剪纸、现代刻纸创作
任务 1: 传统剪纸创作学时: 4
教学目标素质目标知识目标能力目标
1.唤起学生对传统民间美术的1.了解、认识民间剪纸艺1.掌握传统剪纸的造型
"} {"image_path": "images/50a36dca7fb876b805d2d95611a19430.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LabelThe cause of delayValues
AValue of worksRational number (PLN)
BLength of the section builtRational number (km)
CPlanned duration of the projectInteger number (days)
EProject scopeBinary: design and build=1; build=0
FProject typeBinary: build=1; modernize, etc.=0
GThe total, average number of employees employed by contractor**Integer number (person)
HHalf of the year of works commencementBinary: first half=0; second half=1
IThe trend of the unemployment rate in Poland*Binary: decreasing=0; increasing=1
JThe trend of price index in Polish construction industry*Binary: decreasing=0; increasing=1
KThe trend of total sales in Polish construction industry*Binary: decreasing=0; increasing=1
LNumber of partners in consortium (acting as contractor)Integer number
MSummarized yearly total sales of consortium partners**Rational number (PLN)
"} {"image_path": "images/9d9c08124108165ef88e6db9c3a592ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Oxidation products $(mole/kg) × 10^3$
Total OOHTotal OHC=O-C(O)OH-C(O)OR
HDPE20 Mrad611974290
2·5 Mrad831240
UV,616h12330266
LLDPE20 Mrad551478290
UV, 616 h3130858254
PP20 Mrad410442403330
2·5 Mrad43720171·5
UV, 102 h74530715
"} {"image_path": "images/34362f7ede44a6b9d1e23de160f1881b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
U(V)FreundlichLangmuir
$K_{f}$1/n$R^{2}$$q_{m}$$b(\\times10^{-2})$$R^{2}$
0.83.510.1800.8811.582.040.98
1.05.220.1270.9011.594.620.97
1.25.290.1400.9412.445.030.98
1.45.710.1390.9113.016.270.95
1.65.960.1370.8913.217.390.92
"} {"image_path": "images/afb80ad9faa13c7e4923ee52e85c2dc8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Growth parameterEffectMean leafdamageProportion ofdamaged leaves
Stem lengthBurial0.620.28
Damage0.824.05*
Interaction2.711.02
Branch lengthBurial0.400.098
Damage0.821.03
Interaction0.160.024
Number of leavesBurial0.260.86
Damage1.042.77
Interaction2.866.26*
"} {"image_path": "images/ea32e9d197db99762e6f7d2e7e6a25ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
比例尺图幅大小划分数代号图幅编号
纬度差经度差绝对相对
1:100 万11横列:A、B、C、$\\cdots$、V纵行:1、2、3、$\\cdots$、60J-50
1:50 万44A、B、C、D$\\mathrm{J}-50 \\cdot \\mathrm{D}$
1:25 万1°30'164[1]、[2]、$\\cdots$、[16]J 50-[12]
1:10 万20'30'1449 1、2、3、$\\cdots$、144D+行号+列号 J-50-8J50D004006
1:5 万10'15'5764E+行号+列号J50E010007
1:2.5 万5'7'30\"2 3044F+行号+列号J50F022037
1:1 万2'30\"3'45\"9 2164(1)、(2)、$\\cdots$、(64)$ \\mathrm{J}-50-8-(61) $
1:5 0001'15\"1'52.5\"36 8644a 、b 、c、d$ \\mathrm{J}-50-8-(61)-\\mathrm{c} $
"} {"image_path": "images/65e0dd7da774ed991ceab0970363c5aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$NO^a$$TEP^b$Solvent$k_2c$
3931.2Benzene0.079
1951.2Benzene.078
5001.2Benzene.080
4001.2Toluene.080
2011.2Toluene.078
5011.2Toluene.076
4001.7Toluene.071
4010.6Toluene.0800
3970.6Butyl ether.0470
4041.2Butyl ether.043
3981.2Butyl ether.043
3971.8Butyl ether.048
3951.2n-Hexane.040
3961.2Ethanol.061
3961.2Cyclohexene.040
4061.2Amyl acetate.066
"} {"image_path": "images/9622e9d4323e76c2b58f980f6e4860d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesPooled dataHigh-cap firmsLow-cap firms
MeanStd. Dev.MeanStd. Dev.MeanStd. Dev.
Growth rate (%)7.7216.538.5916.317.1716.67
Age (years)23.2619.4624.7923.5922.3516.42
Technological capability (1-5)3.790.974.310.963.400.78
Competitive pressure (1-5)3.741.123.681.183.791.11
Export intensity0.240.320.190.300.280.32
"} {"image_path": "images/f2a6489f1424821db4c4546ebb72ae4d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Personality typeBeforetreatmentAfter 12weeksDiff.P
Schizoid6654-12$.00^{*}$
Avoidant7959-20$.00^{*}$
Dependent7972-7.22
Histrionic4551+6.08
Narcissistic3551+16$.00^{*}$
Antisocial3746+9.04
Compulsive5063+ 13$.00^{*}$
Passive aggressive8149-32$.00^{*}$
Schizotypal6154-7.08
Borderline8261-21$.00^{*}$
Paranoid4854+6.02
"} {"image_path": "images/577081e0052ee536a722b7c99bd16fa3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TargetNType$\\Delta$E (eV)I (%)X rayW (eV)$XPS^d$$DOS^e$
$α_3$$α_4$
BaO6a1.92.8323.094.1
SrO6a1.92.8362.6104.7
CaO6a1.72.8332.788.4
$\\mathrm{Li}_2 \\mathrm{O}$8a1.62.6214.25.8
MgO6b1.796.56.58.5
$\\mathrm{Al}_2 \\mathrm{O}_3$4C9.511.66.5
BeO4C7.56
$\\mathrm{Si}_2 \\mathrm{O}$2C11.51213
"} {"image_path": "images/dad774a8cf97057a6b0ce520cad76829.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OuterNMiddleNInnerNWhole bulletN
Antimony (Sb)
1$578 \\pm 19.5$4$585 \\pm 12.1$3$581 \\pm 15.1$4$576 \\pm 3.47$18
8$957 \\pm 4.86$3$952 \\pm 17.4$3$963 \\pm 16.3$3$966 \\pm 7.32$12
9$1829 \\pm 61.4$3$1806 \\pm 18.1$3$1869 \\pm 13.4$3$1834 \\pm 14.3$9
10$260 \\pm 10.0$3$262 \\pm 0.180$3$258 \\pm 4.69$3$260 \\pm 1.93$9
Silver (Ag)
1$6.30 \\pm 0.26$4$6.66 \\pm 0.09$3$6.35 \\pm 0.27$4$6.30 \\pm 0.06$20
8$6.90 \\pm 0.14$3$6.79 \\pm 0.16$3$6.73 \\pm 0.18$3$6.81 \\pm 0.04$18
9$8.71 \\pm 0.38$3$8.51 \\pm 0.28$3$8.68 \\pm 0.42$3$8.66 \\pm 0.08$18
10$5.04 \\pm 0.25$3$5.21 \\pm 0.09$3$5.14 \\pm 0.16$3$5.04 \\pm 0.05$18
"} {"image_path": "images/45eb1e58330bfc875659989682f0d4ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
الدرجةالكليةدرجات المقررمدة امتحاننهاية الفصل(ساعة)اسم المقرركود المقرر
نهايةالفصلأعمالالسنةنصفالفصل
1005030202مقدمة في هندسة القوي الكهربائيةEE 242
1005030202نبائط ودوائر الكترونيةEEE 214
1005030202تحليل عددي وامثالEEC 224
1005030202كيمياء حيويةAMD 222
1005030202تشريح وفسيولوجي (2)AMD 223
1005030202 مقرر اختياري (2)ريادة أعمال - محاسبة- تكاليف ودراسة )(جدوىElective
"} {"image_path": "images/2fa04513cd2ad2b8c79f4b993d25acb7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Storm phase$a_{0}$$a_{1}$$b_{0}$$b_{1}$
$ \\text{ VBs}<1~\\mathrm{mV}/\\mathrm{m} $
EC1.818-0.820-0.01990.0739
LC1.876-0.8770.0672-0.0782
M 1.874-0.876-0.04260.0101
R1.905-0.9060.0380-0.0356
$ \\text{ VBs}>1~\\mathrm{mV}/\\mathrm{m} $
EC1.801-0.807-0.3000.309
LC1.872-0.875-0.0192-0.00223
M1.886-0.8880.00862-0.0545
R1.882-0.884-0.02590.00317
"} {"image_path": "images/5eec08ca3a80740da5fabd20629dcc5c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1Time(h)Yields $(\\%)$ of
RX$\\mathbf{2}^{a)}$31
aHBr479.9
bCOMeBr14.546.913.2 3.3
cCOOMeCl21.551.14.314.0
dMeBr2074.5
eOMeBr1735.915.4
"} {"image_path": "images/33b7085e0be0f6401b66589f37c8df38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Income levelAvailability
ReadilyNotOccasionallyTotal
High1921646
Medium475557
Low460652
Total1122617155
"} {"image_path": "images/7cc361bf1c67528ddc3fee88013cad8a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
直径/mm1.02.03.04.05.06.07.08.09.010.0
抗拉强度 $\\sigma_{b}$/MPaB级1660147013701320132012201170117011301130
C级1960171015701520147014201370137013201320
D级230019101710162015701520$-$$-$$-$$-$
许用剪应力$[\\tau] / \\mathrm{MPa}$I类压缩弹簧: $(0.30 \\sim 0.38) \\sigma_{\\mathrm{b}}$; 拉伸弹簧: $(0.24 \\sim 0.30) \\sigma_{\\mathrm{b}}$
II类压缩弹簧: $(0.38 \\sim 0.45) \\sigma_{\\mathrm{b}}$; 拉伸弹簧: $(0.30 \\sim 0.36) \\sigma_{\\mathrm{b}}$
III类压缩弹簧: $0.5\\sigma_{b}$ 拉伸弹簧: $0.4\\sigma_{b}$
极限切应力 $\\tau_{\\text {lim }} / \\mathrm{MPa}$Ⅰ类载荷 $\\leqslant 1.67[\\tau]$ ;Ⅱ类载荷 $\\leqslant 1.25[\\tau]$ ; Ⅲ类载荷 $\\leqslant 1.12[\\tau]$
剪切弹性模量 G/MPa79000
推荐温度范围(℃)-40~130
"} {"image_path": "images/33d8b8127c6942b69d4ce055f8dfbd97.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Rank^a$DaysH ${value}^b$$\\sum~H^c$
69016.716.7
512020.036.7
415025.061.7
315033.094.7
218050.0144.7
1180100.0244.7
"} {"image_path": "images/38ff8589112c2ae840afeedc9bce2bec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Girder(1)$t_f$(in.)(2)$t_w$(in.)(3) $F_{yf}$(ksi)(4) $F_{yw}$(ksi)(5)N/$b_{ln}$(6) $P_f$(kips)(7) $P_y$(kips)(8) a(in.)(9)$P_{fl}$(kips)(10)$P_w$(kips)(11)$P_c$(kips)(12)$P_{f}/P_{u}$(13)
Girder 520.500.104636.036.00.0028.6427.912.0114.2611.1825.441.13
Note: 1 in. = 25.4 mm. 1 kip = 4.45 kN. 1 ksi = 6.89 MPa.
"} {"image_path": "images/94cdf4d978e9b6d1dfb16d15b62bae4f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PupInitialweight(g)Weightchange(%)Exchange-able Na(mEq/kg)Sodiumintake(mEq)Estimated $^{22}Na$turnover(mEq)Difference(%)
Dingo
11,380+1.161.78111.686.6-22.4
21,280-2.060.5776.156.5-25.8
31,360+5.565.61103.683.3-19.6
41,442+12.362.76125.395.4-23.8
Domestic
12,122+1.367.46108.794.5-13.1
21,797+10.266.61167.2141.2-15.6
31,630+14.165.69152.7122.1-20.1
41,885+11.767.96156.1127.6-18.3
$\\bar{X}$64.81-19.8
SD2.754.2
"} {"image_path": "images/dd0ce71369ee62a18449e7af5ba3922b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MODIS IR band0.001 $cm^{-1}$ spectral resolution0.1 $cm^{-1}$ spectral resolution(relative error)1.0 $cm^{-1}$ spectral resolution(relative error)
U.S. Standard Atmosphere
Band 29 (8.5 $\\mu$m)0.76720.7680 (0.1%)
Band 31 (11 $\\mu$m)0.88260.8822 (0.1%)0.8638 (2.1%)
Band 32 (12 $\\mu$m)0.83480.8349 (0.0%)0.8364 (0.2%)
Tropical summer profile
Band 29 (8.5 $\\mu$m)0.50450.5052 (0.1%)0.5041 (0.1%)
Band 31 (11 $\\mu$m)0.51920.5185 (0.1%)0.4987 (3.9%)
Band 32 (12 $\\mu$m)0.40860.4087 (0.0%)0.4093 (0.2%)
"} {"image_path": "images/c08d6aa8b0d797cf5796a57428efed75.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
frame[freim]
0122
"} {"image_path": "images/f020516811981aa0fc92642019821412.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SectorConstrainedgroupEncouragedgroup
2 Coal Mining and Dressing40.95
4 Metal Ore Mining11.33
5 Non-ferrous Mineral Mining14.58
6 Manufacture of Food Productsand Tobacco Processing1877.11
7 Textile855.03
8 Wearing Apparel, Leather,Furs and Related Products1105.52
9 Sawmills and Furniture408.75
10 Paper and Paper Products, Printingand Reproduction264.02
11 Petroleum Processing, Cokingand Nuclear Fuel Processing141.12
13 Nonmetal Mineral Products179.71
16 Common and Special Equipment1875.35
17 Transportation Equipment1454.04
22 Waste resources and MaterialsRecycling and Processing3.17
24 Gas Production and Supply32.72
25 Water Production andSupply32.21
27 Transport and Warehousing807.57
Ratio of final demand in GDP$\\omega_1$ = 0.0396$\\omega_2$ = 0.2500
"} {"image_path": "images/63562db5da00250e5c3bf4f7d6771cf5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Res.Case 1Case2
Recoverable volume $V_i$ (MS $m^3$)Scale parameter $D_i$Max rate $D_iV_i$ (kS $m^3$/d)Recoverable volume $V_i$ (MS $m^3$)Scale parameter $D_i$Max rate $D_iV_i$ (kS $m^3$/d)
115.00.00034.55.00.00031.5
210.00.00066.010.00.00066.0
35.00.00105.015.00.001015.0
"} {"image_path": "images/1e965b58930a8d1577c3a98a12156d4c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n$\\cos(n\\pi/16)$Traditional binary representationCanonical sign-digit representation
Bit pattern$(2^0,2^{-1},2^{-2},\\ldots,2^{-15})$# Non-zero bitsBit pattern$(2^{0},2^{-1},2^{-2},\\ldots,2^{-15})$# Non-zero bits Bit Bit saving (%)
10.980801010001101111109100000-10-10001010544
20.9239011101100100001071000-10-1001000010529
30.83150111011001010110610-101010100-100-10722
40.70710101101010000010610-10-10101000001060
50.5556101110001110001080100100-100100-101625
60.382700110000111111008010-1000100000-100450
70.1951100111110001100080010-10010000-1001538
"} {"image_path": "images/e75cb8f90f0010e0ceff3337ec0aa677.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$K^{\\prime \\prime} · \\Delta K$$\\nu_4+\\nu_3-\\nu_3$$\\left(\\nu_{4}^{ \\pm 1}+\\nu_{6}^{ \\pm 1}\\right)-\\nu_{6}^{ \\pm 1}$
-92165.31
-8
-72176.12
-62181.46
-52186.80
-42192.09
-32197.38
-22202.62
-12207.80
02212.98
1 2218.102215.70
22223.20 2220.59
32228.262225.51
42233.302230.46
52238.292235.41
62243.242240.33
72248.15
82253.03
92257.87
102262.68
"} {"image_path": "images/b6f1418ad3c91e48ca593993c78cf153.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableZeroOne
$X_1$ - board functionMother boardPower Supply
$X_2$ - componentSurface MountThrough-Hole
$X_3$ - redesign?FalseTrue
$X_4$ - in-circuit test?FalseTrue
"} {"image_path": "images/89e7900c2aa50f4877b7022aeee16bf2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LondonParisStockholmZurich
N%N%N%N%
Never used bottle116·0120·814320·48123·92
Used bottle17293·9924599·1916779·5232080·96
Total183100·00247100·00210100·00332100·00
"} {"image_path": "images/5f5a0f27e35eda8cde24009d964d8603.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
化學藥品四百種曲頸甑各科十三只
特號唱機一架 形管十只
特號照像機一架木塞五百
德國水平儀一架鋅简二十只
"} {"image_path": "images/95824fe9e819ca623400920c8083edbe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别风管直径 D 或长边尺寸 b圆形风管矩形风管除尘系统风管
中、低压系统高压系统
D (b) ≤3200.50.50.751.5
3200.60.60.751.5
4500.750.60.752.0
6300.750.751.02.0
10001.01.01.02.0
12501.21.01.2按设计
2000按设计1.2按设计
"} {"image_path": "images/b7b09fda0d52449ee6982b842776dd6e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目单 位页 岩砂 岩
岩层稳定岩层二次冒落巷道转弯岩层稳定岩层二次冒落巷道转弯
掘进速度米/钻进目19.611.413.013.312.57.3
掘进速度$\\text{米/工作日}^*$( 17.2 )( 10.9 )( 11.9 )12.0( 10.4 )( 6.9 )
纯钻进速度厘米/分4.54.03.53.03.42.2
掘进效率厘米/工-班41.426.626.328.727.015.8
掘进效率$\\text{米}^3/\\text{工-班}$7.85.04.95.05.03.0
"} {"image_path": "images/bca9f6a36912193f1d9074a22d95115e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n = 10
p = 0.2Tp = 0.7
k = 1k = 4k = 7k = 10k = 1k = 4k = 7k = 10
716162120.085Y80179354899
732186190.207Y818809568126
743214300.4710Y830821586158
"} {"image_path": "images/a84d0f4798769edc716cd6acff0d9011.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompoundActual concn,mg/mLAmount found,mg/mLRecovery, %RSD, %
Citalopram0.8020.785697.80.29
1.00251.0054100,30.20
1.2031.172397.40.10
Impurity I0.0005250.000529100.80.63
0.001050.001051100.41.13
0.0015750.00146492.91.20
Impurity II0.0005250.0052299.40.95
0.001050.00103898.50.58
0.0015750.00146292.80.98
Impurity III0.0005250.00049995.21.50
0.001050.001053100.31.13
0.0015750.00143090.80.60
Impurity IV0.0004750.00043991.90.67
0.000950.00089293.91.80
0.0014250.00132292.81.60
"} {"image_path": "images/3f68c34bc3e7f063bd255eb4fe323550.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\begin{gathered} m_{H}=200 ~\\mathrm{Ge~V} \\end{gathered} $$ m_{H}=350~\\mathrm{Ge~V} $$ m_{H}=500~\\mathrm{Ge~V} $
$\\xi$Ev. (sign.)WidthEv. (sign.)WidthEv. (sign.)Width
0.2575 (9.9)0.0942 (11.1)1.484.925.7
0.5079 (10.5)0.3659 (14.3)4.2914 (5.3)35.5
0.7582 (10.7)0.8064 (14.5)8.9821 (6.8)51.7
1.0085 (11.0)1.4168 (14.4)15.526 (7.1)74.5
1.2589 (11.5)2.2178 (14.8)24.029 (7.2)104
1.5094 (12.0)3.1875 (13.5)34.333 (6.9)140
1.7599 (12.6)4.3277 (12.7)46.535 (6.5)182
2.00106 (13.3)5.6576 (11.6)60.538 (5.7)231
SM45 (6.4)1.4136 (8.8)15.316 (5.2)63.3
"} {"image_path": "images/611f98e1414489efa8ba1f3b19e54b4e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RadiationPrimaryenergy(MeV/nucleon)Energy ontarget(MeV/nucleon) $\\mathrm{LET}^a$(keV/μm) Indirect$\\text{action}^c\\ (\\%)$Slopek (M)Inactivationefficiency$1/D_{10}{}^d\\ (\\mathrm{Gy}^{-1})$Fractional inactivation efficiency $(\\mathrm{Gy}^{-1})$/RBE
$\\text{Direct/RBE}_\\mathrm{D}$$\\text{Indirect/RBE}_1$
X rays--$9.4^{b}$76 ± 50.14 ± 0.010.17 ± 0.000.04 ±0.01/1.00 ±0.300.13±0.01/1.00±0.10
Carbon ions2901442065 ± 20.51± 0.010.140.05± 0.00/1.23 ±0.270.09 ± 0.00/0.72± 0.05
Iron ions50041620050 ± 210.74 ± 0.270.480.24± 0.10/5.99 ±2.790.24 ± 0.10/1.89 ± 0.80
Iron ions905379752 ± 41.07 ± 0.040.250.12± 0.01/2.97 ±0.660.13 ± 0.01/1.02± 0.10
Iron ions9029129839 ± 40.55 ± 0.080.190.12± 0.01/2.95 5±0.640.08 ± 0.01/0.60 ± 0.07
Iron ions9016210632 ± 21.21 ± 0.050.150.10 ± 0.00/2.55 ± 0.540.05 ±0.00/0.38±0.03
"} {"image_path": "images/2b17eafd021f5d5321b5159314e7e83e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CDCFTLoop 1Loop 2Loop 3
3-1Exp.0.1970.2150.232
Theo.0.1950.2020.204
Ratio98.9%94.0%88.0%
3-2Exp.0.1930.2030.225
Theo.0.2090.2250.227
Ratio108.3%110.8%100.9%
3-3Exp.0.1720.2160.280
Theo.0.1610.1970.224
Ratio93.6%91.2%80.0%
4-1Exp.0.1680.1770.195
Theo.0.1360.1660.197
Ratio81.1%93.8%101.0%
4-2Exp.0.1470.1560.136
Theo.0.1430.1700.183
Ratio97.3%109.0%134.6%
4-3Exp.0.1140.1360.122
Theo.0.0630.1010.150
Ratio55.3%74.3%123.0%
"} {"image_path": "images/f51bba95b82684176388daddc2325ec4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Score0123
Epidermal basal cell and parabasal cell hyperplasia: expressed as fold increase in thicknessof epidermal cell layerNormal2 fold3 fold≥3 fold
Flattening of secondary epidermal lamellae (SEL): expressed as % of length of unaffectedSEL remaining100%66-99%50-66%<50%
Mitotic figures: per high power field at 200x magnification in the most affected area012≥3
Inflammatory cell count surrounding the probe01-5050-100>100
Fibroplasia: thickness of the fibrous tissue around the probe compared to the width ofunaffected primary epidermal lamellae (PEL)0<1 PEL width1 PEL width>1 PEL width
Collagen bundle formationAbsentMildModerateMarked
Cellular debrisAbsentMildModerateMarked
Endotheliai reactivity: the number of vessels with reactive endothelium around the probe01-2021-50>50
Lamellar necrosis: the number of necrotic PEL012≥3
"} {"image_path": "images/e384ce9d299e87d1ad0a1d4630427275.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Primary StudyCategory(Figure 8)MT TypeMT Lang. OCLsupported DSLproposedOracle
Jiang et al. [64]C-MTM2MATL*C-M
Troya et al. [123, 124]C-MTM2MATL*C-A
He et al. [55]C-MTM2MATL*C-M
Du et al. [34]C-MTM2MATL*C-M
Cariou et al. [25]C-OCLM2MAny*C-M
Braga et al. $[15,16]$C-OCLM2MAny*C-M
Gogolla and Vallecillo (et al.) [44, 127] C-OCLM2MAny*C-M
Cariou et atl. [24, 72]C-OCLM2MATL*C-SA
Guerra et al. [48, 49, 52]C-OCLM2MAny*C-A
Nguyen et al. [87, 88]C-OCLM2MRTL*C-A
Selim et al. [105]C-OCLM2MATL*C-A
Cheng and Tisi [26, 27]C-OCLM2MATL*C-A
Sánchez-Cuadrado et al. [116]C-OCLM2MATL*C-A
Wimmer and Burgueño [134]C-OCLM2T/T2MAny*C-M
Guerra et al.[51]C-DSLM2MQVT-R*PAMOMOC-M
Ciancone et al. [28, 29]C-DSLM2MQVTOMANTraC-M
Rodriguez-Echeverria et al. [92]C-DSLM2MATLMoTeC-M
Anastasakis et al. [4]C-DSLM2MAlloy*AlloyC-M
Narayan and Karsai [85]C-DSLM2MGReATGReATC-M
Tiso et al. [119]C-DSLM2TAcceleo*UnnamedC-M
Bonfanti et al. [14]C-DSLM2TXtextAsmetaLC-M
Guerra et al. [50]C-EMTM2METL*transMLC-M
Mazanek et al. [78]MC-EM2MAnyE-M
Wieber et al. [131]MC-EM2MAnyE-A
Lin et al. [76]MC-EM2MECLE-M
Tiso et al. [117]MC-EM2TAcceleoE-M
Stürmer et al. [113]MC-SM2TTargetLinkE-A
Finot et al. [38, 81]MC-SM2MAnyE-M
Kolovos [71]MC-SM2MECLE-M
Kessentini et al. [68, 69]BE/TBM2MKermetaE-A
Matragkas et al. [77]BE/TBM2METLTr-A
Jörges and Steffen [66]BE/TBM2TCGTr-A
"} {"image_path": "images/99e51f4a8e219d5462413677e6bd3f00.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
代号规格管子外径D/mm大端直径$D_{4} / mm$ 每25.4mm螺纹牙数 基准距离$L_{1} / mm$有效螺纹长度$L_{2} / mm$管端至消失点总长度$L_{4} / mm$ 基面中径$E_1 / mm$机紧后管端至接箍中心的距离J / mm接箍端面至基面长度M / mm接箍镗孔直径Q / mm$接箍镗孔深度q / mm 手紧紧密距牙数A从管端起完整螺纹最小长度$L_{c}^{①} / mm$
1.05026.6733.401024.8736.9841.2831.83312.7011.3335.007.94218.42
1.31533.4037.311028.0440.1644.4535.73912.7011.3338.897.94221.59
1.66042.1646.021031.2243.3346.6344.47012.7011.3347.637.94224.77
1.90048.2653.191035.9948.1152.4051.61412.7011.3354.767.9429.54
2 $^3/_8$60.3365.89845.1959.1365.1063.69712.7013.5667.469.53239.70
2 $^7/_8$73.0378.59853.1167.0673.0376.39712.7013.5680.169.53247.63
3 $^1/_2$88.9095.25859.4673.4179.3893.06412.7013.5696.859.53253.98
4101.60107.95865.8179.7685.73105.76412.7013.56109.559.53260.33
4 $^1/_2$114.30120.65868.9982.9388.90118.46412.7013.56122.259.53263.50
"} {"image_path": "images/98e8e318390218770c9137d8edd68143.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
13201
2011- 1
12302
3-1010
13201
0- 6- 31- 3
0- 1101
0- 10- 61- 3
13201
01- 10- 1
0- 6- 31- 3
0- 10- 61- 3
10504
01- 10- 1
00- 91- 9
00- 161- 13
10504
01- 10- 1
00704
00- 161- 13
"} {"image_path": "images/3b275148678db2b9e36da2f2bfcb3191.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PeriodTop 10Toronto 35
A. Single-year holding periods
1988-0.45-0.65
19891.730.90
1990-1.35-1.19
19910.10-0.47
19920.48-0.67
19930.550.30
19940.290.46
19950.880.73
19962.040.47
19973.732.54
B. Multiple-year holding periods
1988-92-0.08-0.45
1989-930.17-0.26
1990-94-0.02-0.29
1991-950.420.14
1992-960.690.32
1993-971.280.94
1988-970.530.16
"} {"image_path": "images/fee8d61020328d7757121f805b532c28.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Paper.Author(s)
83-034Degani and Schiff
83-224Sahu,Nietubicz, and Steger
83-226Hsieh
83-235Chyu and Ono
83-237Nietubicz,Sturek, and Heavey
83-462Deiwert
82-035Chyu and Kuwahara
82-101Nietubicz
82-290Rizk,Chaussee,and McRae
82-1341Sturek, Guidos, and Nietubicz
82-1358Sahu,Nietubicz,and Steger
81-050Chaussee,Patterson,Kutler,Pulliam, and Stegr
81-282Davy, Green, and Lombard
81-1208Srinivasan, Chyu, and Steger
81-1261Rizk, Chaussee, and McRae
81-1262Nietubicz
81-1900Sturek and Mylin
80-063Kutler,Pedelty, and Pulliam
80-066Schiff and Sturek
80-067Chaussee and Pulliam
80-1586Sturek and Schiff
79-010Nietubicz,Pulliam, and Stegr
79-130Schiff and Steger
79-134Steger and Bailey
78-010Pulliam and Steger
78-213Kutler,Chakravarthy, and Lombard
77-665Steger
"} {"image_path": "images/ecfcf5c49b192eff0823ab933ed84402.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Slope ofLearning CurveAppropriability Parameter
0.0000.1250.2500.3750.500
0.00040.310.710.661.331.62
$\\underline{0.0008}$
Path A1.261.391.891.031.43
Path B2.233.53
$\\underline{0.0012}$
Path A1.410.290.901.812.70
Path B4.135.61
$\\underline{0.001}6$
Path A7.980.860.901.993.16
Path B3.213.855.556.70
"} {"image_path": "images/4a8cd8fe5f6fccb1f5ea0d664e7c4944.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\lambda_s,nm$592.2530353 316.4296279.5 265
$CaCO_3$
$\\theta_0^{\\text{exp}}$ $17.44^{\\circ}$ $18.62^{\\circ}$$24.87^{\\circ}$$31.73^{\\circ}$$33.75^{\\circ}$ $35.87^{\\circ}$
$\\theta_0^{\\text{th}}$ $17.41^{\\circ}$ $18.60^{\\circ}$$24.90^{\\circ}$ $32.11^{\\circ}$ $33.74^{\\circ}$ $35.87^{\\circ}$
$△\\theta^{\\text{exp}}$34.0'15.0'6.2'42.0'22.2'6.0'
$△\\theta^{\\text{th}}$13.0'11.7'5.4''4'3.3'3.2'
β3.94°4.18°5.66°6.97°7.32°7.71°
$n_{\\mathrm{o1}}$1.64011.64241.64241.65461.65811.66051.6630
$n_{\\mathrm{o2}}$1.65801.66301.66301.72431.73671.7508
$n_{\\mathrm{e2}}$1.48631.48851.48851.51561.52071.5263
$SiO_2$
$\\theta^{\\text{exp}}$38°48°26°19°20.5°26°
$l_{\\text{coh}},\\mu$25.4920.487.994.203.502.94
$n_{\\mathrm{o1}}$1.53251.53421.53421.54411.54561.5472
$n_{\\mathrm{o2}}$1.54411.54721.54721.57941.58551.5922
Results
$\\frac{d_{\\mathrm{eff}}^{(2)}(\\mathrm{CaCO}_{3})}{d_{11}^{(2)}(\\mathrm{SiO}_{2})}(\\times10^{-3})$$0.95 \\pm 10 \\%$$ \\begin{array}{l}1.0 \\pm 10 \\% \\\\ \\end{array} $ $2.0\\pm 10\\%$ $ 2.6\\pm 16\\%$$2.57 \\pm 9 \\%$$ \\begin{array}{l}2.83 \\pm 7 \\%\\\\ \\end{array} $$ \\begin{array}{c}3.02 \\pm 12 \\% \\\\ \\end{array} $
$d^{(2)}\\left(\\mathrm{CaCO}_{3}\\right)\\left(\\times 10^{-12}\\right)$, esu$1.09 \\pm 9 \\%$$1.10 \\pm 11 \\%$$1.74 \\pm 17 \\%$$ 2.2 \\pm 15 \\% $$1.93 \\pm 10 \\%$$ \\begin{array}{r}2.07 \\pm 9 \\% \\\\ \\text{=}^{\\text{}}\\end{array} $$2.17 \\pm 13 \\%$
"} {"image_path": "images/4527a95ccb45bac9bd5d83d988e12586.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PropertiesVirtual Input
Virgin (as received)
Thermal conductivity constant, $k_{\\mathrm{v}, \\mathrm{A}}(\\mathrm{W} / \\mathrm{m} / \\mathrm{K})$0.312
Thermal conductivity constant, $k_{\\mathrm{v}, B}\\left(\\mathrm{~W} / \\mathrm{m} / \\mathrm{K}^{2}\\right)$$ 4.405 \\times 10^{-5} $
Density, $\\rho_{v}\\left(\\mathrm{~kg} / \\mathrm{m}^{3}\\right)$1683
Heat capacity constant, $C_{p, v, A}(\\mathrm{~J} / \\mathrm{kg} / \\mathrm{K})$1080
$ \\text{Heat capacity constant,} C_{p, v, B}\\left(\\mathrm{~J} /\\mathrm{kg} /\\mathrm{K}^{2}\\right) $0.0452
Emissivity, $\\varepsilon_{\\mathrm{v}}$0.94
Absorption coefficient, $\\kappa_{\\mathrm{v}}\\left(\\mathrm{m}^{-1}\\right)$10 000
Char
Thermal conductivity constant, $k_{c, A}(\\mathrm{~W} / \\mathrm{m} / \\mathrm{K})$0.0949
Thermal conductivity constant, $k_{c, B}\\left(\\mathrm{~W} / \\mathrm{m} / \\mathrm{K}^{2}\\right)$$ 2.83\\times 10^{-4} $
Density, $\\rho_{c}\\left(\\mathrm{~kg} / \\mathrm{m}^{3}\\right)$1235
$ \\text{Heat capacity constant,}~ C_{p, c, A}(J / k g / K)$1041
Heat capacity constant, $C_{p, c, B}\\left(\\mathrm{~J} / \\mathrm{kg} / \\mathrm{K}^{2}\\right)$0.259
Emissivity, $\\varepsilon_{c}$0.94
Pyrolysis reactions
Reaction #1
Preexponential factor, $A_{pyro}\\left(s^{-1}\\right)$ $ 2.34\\times 10^{12} $
Activation energy, $E_{\\text {pyro }}(\\mathrm{J} / \\mathrm{Mol})$$ 1.81\\times 10^{5} $
Heat of reaction, $\\Delta H_{\\text {pyro }}(\\mathrm{J} / \\mathrm{kg})$$ 1.0\\times 10^{5} $
Reaction order, $\\mathrm{n}_{\\text {pyro }}$1.0
Charring fraction, $\\xi$0.75
Reaction # 2
Preexponential factor, $A_{pyro}\\left(s^{-1}\\right)$ $ 7.5 \\times 10^{13} $
Activation energy, $E_{\\text {pyro }}(\\mathrm{J} / \\mathrm{Mol})$$ 1.93\\times 10^{5} $
Heat of reaction, $\\Delta H_{\\text {pyro }}(\\mathrm{J} / \\mathrm{kg})$$ 2.0\\times 10^{5} $
Reaction order, $\\eta_{\\text {pyro }}$1.5
Charring fraction, $\\xi$0.5
Reaction #3
Preexponential factor, $A_{\\text {pyro }}\\left(\\mathrm{s}^{-1}\\right)$$ 9.2\\times 10^{12} $
Activation energy, $E_{\\text {pyro }}(\\mathrm{J} / \\mathrm{Mol})$$ 1.75 \\times 10^{5} $
$ \\text{Heat of reaction,}\\Delta H_{\\text{pyro}}(\\mathrm{J} /\\mathrm{kg}) $$ 4.0 \\times 10^{5} $
Reaction order, $n_{\\text {pyro }}$3.0
Charring fraction, $\\xi$0.3
"} {"image_path": "images/059fe6f9ff32ffa40c02e785df8ccd9b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
误差区间$<-0.50$$ \\begin{array}{l}-0.50\\sim\\\\ -0.425\\end{array} $$ \\begin{array}{l}-0.425\\sim\\\\ -0.375\\end{array} $$ \\begin{array}{l}-0.375\\sim\\\\ -0.325\\end{array} $$ \\begin{array}{l}-0.325\\sim\\\\ -0.275\\end{array} $$ \\begin{array}{r}-0.275\\sim\\\\ -0.225\\end{array} $$ \\begin{array}{r}-0.225\\sim\\\\ -0.175\\end{array} $$ \\begin{array}{l}-0.175\\sim\\\\ -0.125\\end{array} $$ \\begin{array}{l}-0.125\\sim\\\\ -0.075\\end{array} $$ \\begin{array}{l}-0.075\\sim\\\\ -0.025\\end{array} $
点 数 量244080102137186261420521690
-0.025~0.025$ \\begin{array}{l}0.025\\sim\\\\ 0.075\\end{array} $$ \\begin{array}{l}0.075\\sim\\\\ 0.125\\end{array} $$ \\begin{array}{l}0.125\\sim\\\\ 0.175\\end{array} $$ \\begin{array}{l}0.175\\sim\\\\ 0.225\\end{array} $$ \\begin{array}{l}0.225\\sim\\\\ 0.275\\end{array} $$ \\begin{array}{l}0.275\\sim\\\\ 0.325\\end{array} $0.325~0.3750.375~0.4250.425~0.0>0.50
7837335563692861949450382210
"} {"image_path": "images/6793bab9883ad30c3d71e33d83099351.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年度項目最 近 五 年 度 財 務 資 料(註 1)
101 年102 年103 年104 年105 年
營 業 收 入1,103,8131,373,2551,734,965--
營 業 毛 利166,214266,890321,877--
營 業 損 益(198,067)98,14292,038--
營 業 外 收 入 及 利 益33,56635,05165,140--
營 業 外 費 用 及 損 失49,49722,85710,677--
繼 續 營 業 部 門 稅 前 損 益(213,998)110,336146,501--
繼 續 營 業 部 門 損 益(税 後)(213,545)89,527117,036--
停 業 部 門 益-----
非 常 損 益-----
會 計 原 則 變 動 之 累 積 影 響 數-----
本 期 損 益(213,545)89,527117,036--
每 股 盈 餘(2.37)1.241.63--
"} {"image_path": "images/5ebd0e4a8d13786f016c376f670bb629.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterHydraulic Conductivity (k)Storativity (S)
Data SetsFlow CellsSlug TestsAquifer TestsAquifer Tests
n6991212
Min (m/s)5.43E 一 091.68E 一 063.28E 一 062.70E 一 03
Max (m/s)6.15E 一 063.27E 一 065.43E 一 063.99E 一 03
Mean (m/s)1.19E 一 062.22E 一 064.46E 一 063.36E 一 03
Median (m/s)1.63E 一 072.18E 一 064.58E 一 063.37E 一 03
Variance3.39E 一 122.04E 一 137.05E 一 131.87E 一 07
S.D.1.84E 一 064.51E 一 078.40E 一 074.32E 一 04
S.E.2.22E 一 071.50E 一 072.42E 一 071.25E 一 04
"} {"image_path": "images/08c0037c927a37a17e63f2723298731d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
peptideMW% of helicalstructure(AGADIR) % of helicalstructure (frommolar ellipticityat 222 $nm)^b$% of helical structurein aqueous solution(from TFE-titrations)$\\left(\\Delta G^{\\mathrm{w}}, \\mathrm{kcal} ~\\mathrm{mol}{ }^{-1}\\right)^c$$\\begin{gathered}{[\\mathrm{TFE}]_{50 \\%}} \\\\ (\\mathrm{M})\\end{gathered}$$\\begin{gathered}D \\times 10^6\\left(\\mathrm{~cm}^2 \\mathrm{~s}^{-1}\\right) \\\\ \\left(R_{\\mathrm{h}}, \\mathrm{A}\\right)^d\\end{gathered}$$\\begin{gathered}T_2 \\text {-relaxation } \\\\ \\text { time }(\\mathrm{ms}) \\\\ (\\text { molecular mass }, \\mathrm{kDa})\\end{gathered}$$\\begin{gathered}K_{\\mathrm{SD}} \\\\ (\\mu \\mathrm{M})^e\\end{gathered}$
VKNWMTETLLRQ(P-1)1517.8013.908.412.1±0.8 (1.2± 0.6)17±32.2± 0.1 (8.4)102.5 (3.9)3.8±3.5
VKNWMTEYLLVQ(P-2)1522.8224.805.70.6±0.2${}^f$(4±1)23±11.5±0.1 (12.2)127.4 (3.1)36±31
VKNWMTEYLLRQ1S(P-3)1579.8752.888.26.1±0.5 (1.6± 0.5)15±11.98 ±0.02 (9.3)122.5 (3.3)5.2±4.1
VKNWMTETLLVQ1460.754.596.91.4±0.8 (2.5±0.3)20.4±0.81.93 ±0.02 (9.5)122.5 (3.3)3.6±0.7
"} {"image_path": "images/e2707e58c1c40e88aba03b58c34999d8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterDesignationValueUnits
Core width$W_e$0.050[m]
Pole pitch$\\tau$0.084[m]
No. of primarypolesP4
No. of primary coilsq2
No. of primary coilfractions$\\beta$1
Secondary conduc-tor (copper) thick-ness$T_s$0.004[m]
Secondary conduc-tor width$W_s$0.090[m]
Mechanical gaplengthg0.002[m]
Rated frequencyf20[Hz]
"} {"image_path": "images/d03000fe1d4195a3b9370bac63c24baa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
L$\\mu^{*2}$$T_{C}^{*}$$\\rho_{C}^{*}$$C_{1}$$C_{2}$
0.50502.71270.2000-0.061290.5140
22.74980.2062-0.056430.5240
42.91020.2035-0.056090.5175
53.03310.2008-0.056080.4803
63.15340.1959-0.057800.4835
73.23140.1946-0.057380.4838
83.26690.2014-0.053040.4993
0.6702.25980.1738-0.067850.4871
22.32770.1744-0.065500.4745
42.43750.1770-0.061170.4744
52.50380.1674-0.070670.4752
62.58640.1706-0.064590.4682
72.66660.1698-0.063390.4679
82.76910.1683-0.061620.4530
"} {"image_path": "images/f642e782cbc1bcd71ff5ccd87d37c85c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
QTLIntervalPositionRangeAs.e.
1-15RZ730-RZ801204.6200.6-208.6-16.28**0.75
2-12RG256-RZ213151.8145.7-156.86.07**0.64
3-20RG910-RG418A297.2293.7-305.2-5.70**0.67
4-11RZ590-RG214140.8123.2-146.5-5.72**0.63
"} {"image_path": "images/2266f5b76cf6fedbb6f034b24e02cbee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Basal length127·0123·0
Interorbital breadth32·026·0
Width across postorbital processes38·?36·7
Intertemporal breadth30·827·0
Intertemporal length25·021·0
Mastoid breadth--
Zygomatic width101·?93·?
Palatal length65·465·3
"} {"image_path": "images/1aa047a26f53555b9318ede5cb0c6d6d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Intercept$\\text{BETA (+)}$$\\operatorname{LEV}~(+)$$\\text{MARKET (-)}$$\\text{Adj. R}^2$
Panel A: Simple Regressions (OLS)
Coefficient0.660.01211.9%
P-Value (2-tail)(0.000)(0.000)(0.000)
Coefficient0.0770.0060.9%
P-Value (2-tail)(0.000)(0.156)(0.156)
Coefficient0.138-0.00522.4%
P-Value (2-tail)(0.000)(0.000)(0.000)
Panel B: Multiple Regressions (OLS)
Coefficient0.1230.011-0.003933.2%
P-Value(2-tail)(0.000)(0.000)(0.000)(0.000)
Coefficient0.1360.007-0.004724.3%
P-Value (2-tail)(0.000)(0.048)(0.000)(0.000)
Coefficient0.1220.0110.006-0.00434.3%
P-Value (2-tail)(0.000)(0.000)(0.085)(0.000)(0.000)
"} {"image_path": "images/ac3d38db5ab6031e01d4d09c3b3e9e4d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Image (size)kExhaustiveMEABCT
ThresholdsComputation time (ms)ThresholdsComputation time (ms)
LENA(512×512)280,1504.8980,1501.39
360,109,160158.4960,109,1605.94
456,100,144,182829056,100,144,18224.39
544,79,114,150,1845130444,79,115,148,186189.35
PEPPER(512×512)274,1463.7374,1461.45
361,112,164145.5861,112,1645.98
457,104,148,194796557,104,148,19429.78
542,77,113,153,19443978442,77,113,153,194187.35
BIRD(256×256)271,1384.13.71,1381.12
370,129,177132.6770,129,1772.89
451,96,139,177656451,94,138,17817.85
546,74,104,141,17741478946,74,105,142,177109.35
CAMERA(256×256)2128,1934.54128,1931.28
344,104,193138.6744,104,1935.12
444,97,146,197716944,97,146,19722.58
540,84,119,155,19743969740,83,119,154,19798.26
GOLDHILL(256×256)290,1575.5790,1571.39
379,132,178140.1779,132,1785.16
467,108,151,191719067,108,151,19127.25
561,96,132,166,19944742959,96,131,167,199124.69
"} {"image_path": "images/fba18f8c85b38f1ff048358ec3ddfaaa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国家起讫点线路总长(km)车站数量平均站距(km)运输模式
法国巴黎一里昂4264142高速客运
巴黎-南特2813140高速客运
里昂—瓦朗斯1212121高速客运
瓦朗斯一马赛3033152高速客运
巴黎一里尔3333167高速客运
德国曼海姆一斯图加特1052105客货混用
汉诺威一威尔茨堡327582客货混用
法兰克福一科隆219555客货混用
汉诺威一柏林264566客货混用
西班牙西班牙—塞维利亚471778客货混用
韩国汉城一釜山409682高速混运
中国北京一上海1 3182457高速客运
武汉一广州1 0681863高速客运
海口一三亚3081522城际客运
福州一厦门2751323客货混用
"} {"image_path": "images/f78e0666bbb76e9adcccba4461baa7f0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$E_{\\mathrm{mg}}$$\\beta_{0d}{}^{\\mathbf{a}}$$\\beta_{0c}{}^{\\mathbf{b}}$PERTURBATION
NoneSinusoidalRandom
$1.0 \\times 10^{-5}$10200200A1S1R1
$2.0 \\times 10^{-5}$5100100A2S2R2
$5.0 \\times 10^{-5}$204040A3S3R3
$1.0 \\times 10^{-4}$102020A4S4R4
$2.0 \\times 10^{-4}$51010A5S5R5
$5.0 \\times 10^{-4}$2044A6S6R6
$1.0 \\times 10^{-3}$1022A7S7R7
$2.0 \\times 10^{-3}$511A8S8R8
"} {"image_path": "images/249d1566cf707bc07aebe5a22e76ae6c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
min(b + c)$\\min \\operatorname{Tr}\\left(\\Phi \\Phi^t\\right)$$\\operatorname{Tr}\\left(\\Phi^2\\right)$$e_{r e}(\\Phi)$$\\sqrt{\\frac{n(2 a+b+c+d)}{2}}$$e(\\Phi)$
$\\widetilde{\\mathbb{D}}_4$0+61535.006.705
$\\widetilde{\\mathbb{D}}_5$0+61735.007.746
$\\widetilde{\\mathbb{D}}_6$2+41935.008.777
$\\widetilde{\\mathbb{D}}_7$2+52236.2310.008
$\\widetilde{\\mathbb{D}}_8$2+62537.0011.229
$\\widetilde{\\mathbb{D}}_m$2 + (m - 2)3m + 1 3$\\sqrt{\\frac{(m+1)(3 m+4)}{2}}$m + 1
$\\widetilde{\\mathbb{E}}_6$0+41715.007.937
$\\widetilde{\\mathbb{E}}_7$0+41915.008.948
$\\widetilde{\\mathbb{E}}_8$0+32016.239.729
"} {"image_path": "images/24b08736245a82853b58f6e654729587.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
연봉3-3
4-1
연적6-2
연주하다1-3
연주회1-3
열정1-3
열정적6-1
염려5-2
5-1
영리하다2-2
영업4-2
영원하다2-2
오뚝하다1-1
오로지6-2
오작교2-2
오해3-1
옥탑방6-1
옷차림1-1
완벽하다1-2
완숙5-3
외향적1-2
요령5-1
요인1-2
운영 주체5-1
운영하다3-2
원서4-2
월급4-1
웬일인지5-2
웹 바스터4-1
위대하다1-3
위로3-3
위장병1-2
위주5-1
윗도리1-1
유난히1-1
유독6-2
유망하다4-1
유물6-2
유사하다5-3
유전적1-2
유형1-2
은은하다6-2
"} {"image_path": "images/f9f6e1d209c76b42da1b0dfc53a6e0ab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
青 霉 素青霉素 G 钾注 射 用粉 剂
链 霉 素硫酸双氢链霉素注 射 用粉 剂
金 霉 素盐酸金霉素口 服粉 剂
四 环 素口 服粉 剂
土 霉 素口 服粉 剂
氯 霉 素口 服粉 剂
合 霉 素混旋氯霉素口 服粉 剂
新 霉 素硫酸新霉素口 服粉 剂
卡 那 霉 素硫酸卡那霉素注 射 用粉 剂
红 霉 素乳糖酸红霉素注 射 用粉 剂
多 粘 菌 素注 射 用粉 剂
杆 菌 肽注 射 用粉 剂
S TST 钠盐粉 剂
S DSD 钠盐粉 剂
呋 喃 妥 因粉 剂
呋 喃 西 林粉 剂
痢 特 灵粉 剂
庆 大 霉 素粉 剂
"} {"image_path": "images/2898b26719437839a8bef243794d0ff0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
325Al/Mn 434Al/Si/Cu/Ni 734Al/Zn/Mg/Cu
Cu/Mn
Electrode0.17 $\\pm$ 0.059.22 $\\pm$ 0.063.39 $\\pm$ 0.05
Aerosol0.15 $\\pm$ 0.027 $\\pm$ 13.3 $\\pm$ 0.5
Cu/Zn
Electrode13.83 $\\pm$ 0.080.33 $\\pm$ 0.05
Aerosol10.9 $\\pm$ 1.60.24 $\\pm$ 0.04
Cr/Zn
Electrode0.33 $\\pm$ 0.070.83 $\\pm$ 0.130.03 $\\pm$ 0.06
Aerosol0.33 $\\pm$ 0.050.87 $\\pm$ 0.130.024 $\\pm$ 0.004
Ni/Zn
Electrode12.08 $\\pm$ 0.08
Aerosol10 $\\pm$ 0.15
Mn/Zn
Electrode1.5 $\\pm$ 0.10.1 $\\pm$ 0.02
Aerosol1.55 $\\pm$ 0.250.07 $\\pm$ 0.01
"} {"image_path": "images/737363a2eafdd503dbd95b90f1469405.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Procedure$\\mathrm{CTDI}_w(\\mathrm{mGy})$DLP (mGy cm)
$\\left(\\mathrm{CTDI}_w\\right)_w$$\\left(\\mathrm{CTDI}_w\\right)_{\\text {range }}$$(\\mathrm{DLP})_w$$(\\text { DLP })_{\\text {range }}$
CT fullabdomen18.95.5-36904.6328.0-1,858.0
CT lowerabdomen19.15.8-32.8654.5144.0-2,046.0
CT upperabdomen19.79.3-39.0671.0233.0-1,353.0
CT kidneys20.29.1-41.0889.5247.6-3,307.0
CT Chest16.410.5-23.6520.6231.0-973.0
CT head62.441.6-100.01,099.5516.3-2,040.0
CT neck21.98.1-41.8632.1163.6-1,917.4
CT skull andfacial bones30.74.4-69.0400.3162.1-853.0
CT limbs 28.911.1-54.4698.7114.0-1,371.8
CT pelvis24.614.5-36.0718.1182.0-1,365.4
CT spine33.520.9-49.0673.481.9-1,213.0
"} {"image_path": "images/a22b2f53106ca64bf01b54eb459ba58f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BuyHoldSell
00.16% (1.64)*-0.10% (-0.66)-1.26% (-2.79)***
0,+10.23% (1.67)*-0.15% (-0.68)-1.87% (-10.17)***
-2,+20.26% (1.18)-0.73% (-2.14)**-1.92% (-1.90)*
Differences
BuyHoldSell
00.01% (0.09)-0.25% (-1.09)1.25% (1.86)*
0,+10.46% (2.08)**-0.15% (-0.53)1.43% (1.39)
-2,+20.87% (2.45)**0.10% (0.21)-0.48% (-0.29)
"} {"image_path": "images/971bb38f5d6f9c071992534c1a57d4fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariablesDescription of Variables andIndex ConstructionMean Std.Deviation
Approve armedoverthrowTo what degree would you approve or disapprove [on a 10-point scale] thatpeople participate in a group that wants to overthrow an elected governmentusing violent means? Answer options range in 10 even increments from “ notat all = 0 to completely = 100. ”17.1027.45
Justify coupThis is an index calculated as the mean of respondent answers to the followingitems: “Some people say that under certain circumstances the military wouldbe justified in taking power via a coup d’etat [golpe de estado in thequestionnaire]. In your opinion, would you justify a coup by the military: 1.In the face of very high unemployment? In the face of a lot of social protest?In the face of high crime? In the face of high inflation, with excessive priceincreases? In the face of a lot of corruption? Do you think that some timethere could be sufficient reason for a coup, or do you think that there couldnever be sufficient reason for that?” Any answer approving of a coup isscored 100, any answer disapproving is scored zero. Range = 0-10041.64 39.65
Approve confrontationalpolitical tacticsThis is an index calculated as the mean of respondent answers to the followingitems: “To what degree do you approve or disapprove: Of people taking overfactories, offices, and other buildings? Of people invading private propertyor land? Of people participating in a blockage of streets and highways?”Answer options range in 10 even increments from “not at all” = 0 to“completely” = 100. Range = 0–100. ”19.2822.29
"} {"image_path": "images/ee37387c2fe7ab76adf81e4f86d65ae8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\boldsymbol{J}_{i}^{\\pi} \\rightarrow \\boldsymbol{J}_{f}^{\\pi}$$E \\gamma~(\\mathrm{keV})$$I\\left(J_{i}\\right) / I\\left(2^{+}\\right)$S (120°) $\\epsilon\\left(120^{\\circ}\\right)$
Expt.FitExpt.Fit
${ }^{136} \\mathrm{Nd}~s$ band
$14^{+} \\rightarrow 12^{+}$661.00.25(2)+0.376(36)+0.356-0.001(7)+0.004
$12^{+} \\rightarrow 10^{+}$390.40.36(1)+0.246(33)+0.247-0.027(6)-0.033
$10^{+} \\rightarrow 8^{+}$663.70.31(1)+0.117(41)+0.108-0.034(8)-0.036
"} {"image_path": "images/e7766d6ff2bc146874cc37fbdb58ab22.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Exercise testHVCP
Early MLate MLate FTotal
No. of patients tested202020211919
No. of tests performed3938341113533
Positive tests (%)14 (36)14 (37)12 (35)40 (36)23 (66)*$2\\ (6)^\\dagger$
ECG changes
ST Elevation (%)10 (26)9 (24)10 (29)29 (26)20 (57)*2 (6)
ST depression (%)4 (10)5 (13)2 ( 6)11 (10)3 ( 9)0
"} {"image_path": "images/3fc07d6e276a8289a8df37baac3a766c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temp (°C) Diffusioncoefficient D$(10^5\\mathrm{~cm}^2/\\mathrm{s})$ Sorptioncoefficient S$(10^{2}\\mathrm{~g}/\\mathrm{g})$Permeabilitycoefficient P$(10^4\\mathrm{~cm}^2/\\mathrm{s})$
77 % fiber, 33 % matrix
306.792511.70
30509.322232.01
7017.142283.91
50 % fiber, 50 % matrix
303.752470.93
506.522481.62
708.892282.02
40 % fiber, 60 % matrix
303.182390.76
506.392061.32
708.332201.83
33 % fiber, 67 % matrix
302.462330.58
504.252060.88
706.142031.25
29 % fiber, 71 % matrix
302.191920.42
504.002010.80
704.922000.98
"} {"image_path": "images/557ca79aa29097b236c993d08aba3a8d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AE阿拉伯聯合酋長國1225
AT奥地利3 1071,48110 7534,242
AU澳大利亞70 1851,703119 3865,768
BE比利時14 2743,40784 28816,551
BR巴西793838
CA加拿大29 1511,16838 5965,746
CH瑞士5 0292,78438 20134,845
CN中國內地1 031 522130,1535 552 056555,817
D8丹麥6 20733012 8961,021
DE德國170 11229,147886 975219,434
"} {"image_path": "images/ac4b56079849780a61ee6ddf3a5cb1fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
O2352 程序号 ( 外轮廓 )
N0010H001=146给 H001 赋值为 0.146
N0020H002=136给 H002 赋值为 0.136
N0030G90 G92 X2.5 Y-100绝对坐标方式,定义起始点坐标为 ( 2.5, -100)
N0040S501调入加工条件 (第一次切割)
N0050G42 H001右补偿
N0060G90 G01 X2.5 Y-91直线插补到点 $(2.5,-91)$
N0070G01 X65. Y-91直线插补到点 $(65,-91)$
N0080G01 X65. Y-115直线插补到点 $(65,-115)$
N0090G03 X65. Y115. I-255.294 J115圆弧插补到点 $(65, 115)$
N0100G01 X65. Y91直线插补到点 $(65, 91)$
N0110G01 X-65. Y91直线插补到点 $(-65, 91)$
N0120G01 X-65. Y115直线插补到点 $(-65, 115)$
N0130G03 X-65. Y-115. I255.294 J-115圆弧插补到点 $(-65,-115)$
N0140G01 X-65. Y-91直线插补到点 $(-65,-91)$
N0150G01 X-2.5 Y-91直线插补到点 $(-2.5,-91)$
N0160G40 G01 X-2.5 Y-91.5取消插补,直线插补到点 (-2.5, -91.5)
N0170S502 调入加工条件 (第二次切割)
N0180G41 H002左补偿
N0190G90 G01 X-2.5 Y-91直线插补到点 $(-2.5,-91)$
N0200G01 X-65. Y-91直线插补到点 $(-65,-91)$
N0210G01 X-65. Y-115直线插补到点(-65,-115)
"} {"image_path": "images/6de75dc96db222447a8ba7651822ddfd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
atompositionxyz$\\mathbf{B_{iso}}[\\mathbf{\\mathring{A^2}}]$
$\\text{(Ca,La) 1}$8l0.2482(3)0.1168(2)01.45(8)
$\\text{(Ca,La) 2}$16m0.2514(2)0.1166(2)0.14256(6)1.15(6)
$\\text{(Ca,La) 3}$16m0.2489(2)0.1166(2)0.28566(6)1.05(5)
$\\text{(Ca,La) 4}$16m0.2504(2)0.1166(2)0.42879(6)1.15(6)
$\\text{Cu 1}$16m0.0833(2)0.2492(2)0.07139(6)0.71(8)
$\\text{Cu 2}$16m0.0831(2)0.2549(2)0.21447(7)1.13(8)
$\\text{Cu 3}$16m0.0829(2)0.2452(2)0.35747(6)0.39(7)
$\\text{Cu 4}$8l0.0835(2)0.2544(3)1/20.76(9)
$\\text{Cu 5}$4c0 004.0(3)
$\\text{Cu 6}$8i000.1010(2)3.5(2)
$\\text{Cu 7}$8i000.1987(2)4.1(3)
$\\text{Cu 8}$8j01/20.0476(2)3.2(2)
$\\text{Cu 9}$8j01/20.1490(2)3.6(2)
$\\text{Cu 10}$4b01/21/43.5(3)
$\\text{O 1}$8l0.0864(17)0.2662(15) 01.7(3)
$\\text{O 2}$16m0.0839(12)0.2404(11)0.1433(5)1.9(3)
$\\text{O 3}$16m0.0834(10)0.2458(10)0.2866(3)1.2(3)
$\\text{O 4}$16m0.0851(10)0.2425(10)0.4288(4)0.8(2)
$\\text{O 5}$8k1/41/40.0706(6)0.9(3)
$\\text{O 6}$8k1/41/40.2147(8)3.0(4)
$\\text{O 7}$8k1/41/40.3578(5)0.2(2)
$\\text{O 8}$4f1/41/41/20.7(4)
$\\text{O 9}$16m0.1181(17)0.0176(16)0.0535(7)4.1(4)
$\\text{O 10}$8g0.1184(21)01/43.1(4)
$\\text{O 11}$16m0.1211(14)0.0298(12)0.3516(6)2.8(3)
$\\text{O 12}$16m0.1196(15)0.4957(14)0.1037(6)3.2(3)
$\\text{O 13}$16m0.1203(13)0.4790(11)0.1965(5)2.2(3)
$\\text{O 14}$8l0.1208(18)0.4721(15)1/21.9(3)
"} {"image_path": "images/a019c3f9393cd06a84b227659045053c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ground colourOver colour
Character stateHue-ChromaCharacter stateHue-Chroma
1 very light green5Y-7/81 non-visible-
2 light yellow2,5Y-7/82 orange10YR-6/8
3 green $5GY-6/7$ 3 brown and green10YR-5/8 and 5Y-5/6
4 orange $10YR-6/8$ 4 red5R-4/8
5 olive5Y-5/65 dark olive5Y-5/6
6 red-brown7,5YR-5/86 red and green$ 10\\mathrm{R}-4 / 8$ and $5\\mathrm{Y}-5 / 6 $
7 orange-olive $10 \\mathrm{YR}-6/8$ 7 brown10YR-5/8
8 orange-red-brown10YR-5/68 red and brown$5 \\mathrm{R}-4 / 8$ and $10 \\mathrm{YR}-5 / 8$
9 olive-red-brown2,5Y-5/6
"} {"image_path": "images/8f3e4a1e84e50b7c761fb1910272be2f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample referenceBurn-off (%)Element (%)
CHNOSO/CC/H
ADS$_1$900/70024.186.960.932.597.69<0.208.847.79
$ADS_{1} 900/800$1889.480.952.446.98<0.207.807.85
$A D S_{1} 900 / 900$15.789.180.901.786.81<0.207.638.25
$\\mathrm{ADS}_{2}$900/7003384.531.162.237.67<0.209.076.07
"} {"image_path": "images/fed48c91a4628f182966f896947e1c10.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Name of seriesCritical buckling load (N.)K-factor (N.)% Load increase fromdesign standard (%)
TestAnalyticalTestAnalyticalTestAnalytical
CHT-19-n18,11518,3350.980.974.126.28
CHT-42-n18,23518,6790.980.964.128.51
CHT-66-n18,41718,6790.970.966.288.51
CHT-90-n18,62019,3770.970.956.2810.80
"} {"image_path": "images/fc3f95d2f23ada0f246d51d2919a4563.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Frequency f(Hz)Ln f$\\text{S-0 1/T}_{\\tan\\delta}$$(\\times10^{-3}\\text{ K})$$\\text{S-1 1/T}_{\\tan\\delta}$$(\\times10^{-3}\\text{ K})$$\\text{S-2 1/T}_{\\tan\\delta}$$(\\times10^{-3}\\text{ K})$$\\text{S-3 1/T}_{\\tan\\delta}$$(\\times10^{-3}\\text{ K})$
106.2565.8205.4955.183
102.36.1595.7245.4145.125
2036.1055.6935.3785.103
303.46.0235.6845.3675.075
"} {"image_path": "images/27335253591958eac49646ff54512198.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指 标企业亏损面%资产负债率%流动资产周转次数次/年成本费用利润率%产品销售率%总资产贡献率%
总 计19.443.71.79.695.218.2
一、按经济类型分组
内资企业22.744.31.710.895.424.4
国有企业100.077.02.3-26.7100.0-27.0
集体企业
股份合作企业
联营企业
有限责任公司14.330.92.012.198.452.5
# 国有独资68.64.72.2102.147.4
股份有限公司41.11.325.395.621.5
私营企业25.857.61.73.091.75.7
其他企业
港澳、台商投资企业16.749.91.86.796.64.1
外商投资企业9.527.21.27.690.57.3
二、按轻重工业分
轻工业20.635.81.515.694.431.4
重工业18.250.01.85.695.77.8
三、按行业分组
采矿业50.063.11.8-2.586.52.5
煤炭开采和洗选业
石油和天然气开采业
黑色金属矿采选业
有色金属矿采选业
非金属矿采选业50.063.11.8-2.586.52.5
开采专业及辅助性活动
其他采矿业
制造业18.141.91.610.995.019.9
农副食品加工业57.150.78.61.797.59.4
食品制造业37.70.923.893.010.5
酒、饮料和精制茶制造业35.50.786.490.429.2
烟草制品业8.01.433.4100.281.1
纺织业62.81.94.295.85.1
纺织服装、服饰业37.562.42.80.398.46.7
皮革、毛皮、羽毛及其制品和制鞋业33.349.41.9-1.4100.07.3
木材加工和木、竹、藤、棕、草制品业61.50.921.0100.019.8
家具制造业45.12.36.191.0-236.2
"} {"image_path": "images/8f176e7494b4f74318401bc5d842be23.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterValue
$m_n^*$0.067$m_e$
$m_p^*$0.089$m_e$
$E_g$1.424 eV
$v_{sn}$$8.5\\times10^6{~cm~}\\cdot{s}^{-1}$
$v_{sp}$$1.5\\times10^7cm\\cdot s^{-1}$
$E_0$$4×10^3V·cm^{-1}$
$\\mu_{2n}$8500$cm^2·s^{-1}.v^{-1}$
$\\mu_{2p}$400$cm^2·s^{-1}·V^{-1}$
$\\alpha_n$0.436
$\\alpha_p$0.395
$N_{rn}$$1.67×10^{17}\\ cm^{-3}$
$N_{rp}$$2.75 × 10^17\\ cm^{-3}$
$N_c$$0.047×10^{19}\\ cm^{-3}$
$N_v$$0.7×10^{19}\\ cm^{-3}$
B$2.0×10^{-10}\\ cm^3·s^{-1}$
E13.1
"} {"image_path": "images/58ee3dae7866fd9a6676e2f37aafc1eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
介质:空气阀门口径阀门口径
公称直径 (mm)DN200~DN400DN500~DN1000
试验压力 (MPa)0.10.1
工作压力 (MPa)≤0.05≤0.05
电动装置型号DDI-20DDI-10
启闭时间 (s)1.21.2
电机功率 (kW)0.370.55
手动启闭时间 (s)5~6
气密泄漏量 (L/min)正面≤0.10≤0.033
反面≤0.10≤0.033
"} {"image_path": "images/6da58a16367e2fc7bde156fd437116c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
System$N_3$$N_1$$σ_1/σ_3$P$^*$μ$^*$q$^*$I$^*$Time steps
1 (LJ)24651.00.81.54.01.0350000
2 (LJ)24651.00.81.54.00.025250000
3 (LJ)246 51.00.81.88.01.0425000
4 (LJ)24651.00.81.88.00.025300000
5 (LJ)236101.00.81.88.00.025300000
6 (LJ)24651.00.81.812.00.025400000
7 (SS)24651.00.63.08.00.025850000
8 (SS)24650.50.63.08.00.025350000
9 (SS)24651.00.8 1.88.00.025200000
"} {"image_path": "images/8c4ffc41bf8f80c3d083d74b5adc9f76.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Milling time (h)a ${(±0.008-0.01 \\mathring{\\mathrm{A}})}$b ${(±0.005-0.008 \\mathring{\\mathrm{A}})}$c ${(±0.005-0.008 \\mathring{\\mathrm{A}})}$
011.510 $(11.51\\dagger)$3.563 $(3.563\\dagger)$4.371 $(4.371\\dagger)$
811.4553.5454.354
1611.4963.5604.368
3211.5063.5624.375
6411.4963.5634.368
10011.4703.5504.362
15011.4933.5614.363
20011.4863.5584.361
25011.4873.5604.375
"} {"image_path": "images/1ba2f7a8c0f881960a47a5cc02777c72.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
k78910111213141516
max9886866841136333
p24512324766778893
"} {"image_path": "images/19377b1da1f699033466d69a17638a0f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Massratios$O^{16}$Acetate$O^{18}$AcetateDifferencein ratiosAtom %$O^{18}$
63/610.0300.0430.0131.7
75/73.033.046.0131.7
89/87.012.025.0131.7
.014.026.0121.6
.015.020.0050.9
103/101.009.015.0061.0
.006.018.0121.6
.007.014.0071.1
"} {"image_path": "images/3d28565989a3d4e5f8d3b9eb35867b51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n $\\delta_n/c$$A_n^{\\mathrm{a}}$$B_n^{\\mathbf{b}}$$\\mathrm{S/U^{c}}$
10.2091.017-0.475U
20.4181.063-0.411U
30.6271.156-0.298U
40.8361.324-0.133U
51.0451.6470.0904S
61.2542.4320.383S
71.4636.3160.763S
81.672
"} {"image_path": "images/ded8e36a7bd656adbb38fac5f30ea3d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Compoundno.MDL no. (MCMC 0000)NameSARS-CoV $3CL^{pro}$model$SARS-CoV 3CL^{pro}$crystal structure$Clinical application
$DOCK^a$$AutoDock^b$$DOCK^a$$AutoDock^b$
10101Benzpiperylon-30.990.08-29.780.02Connective tissue disorders
21593Cinanserin-37.060.36-32.200.395-HT receptor antagonist
33048Fentiazac-35.090.50-36.440.39Antiinflammatory
43248Feclobuzone-35.520.39-24.500.35Antiinflammatory
53266Ridiflone-32.520.10-25.510.0076Anxiolytic
63406Halofenate-34.602.82-29.840.38Hypolipidemic
73612Trifezolac-31.980.16-39.520.12Analgesic
84719Butoconazole-33.720.43-29.970.36Antifungal
94945Pirazolac-37.450.12-34.790.67Antirheumatic
105501Flavoneacetic acid-36.066.46-34.902.29Antineoplastic
"} {"image_path": "images/7c02f3f10090ff5e71126b3581961a57.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
WARESCOST
from Helm1400
Iron Armor1400
Bronze Shield1200
Headguard300
Leather Breastplate300
Pointy Hat300
Silken Shirt300
Bronze Helm700
Bronze Armor700
Leather Shield600
"} {"image_path": "images/bf90baa51e909e1b6b5d61615a1a6d84.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Population Observedaverageheterozygos-$\\text{ity}\\ (\\hat{H})$$ \\begin{aligned} & \\text { Estimate } \\\\ & \\text { of } V(h) \\\\ & {[ \\hat{V}(h)] } \\end{aligned} $$\\text{Expectation of }\\hat{\\mathcal{V}}(h)\\text{ under}$
Infiniteallele modelStepwisemutationmodel$ \\begin{array}{l}\\text { Infinite } \\\\ \\text { allele } \\\\ \\text { model } \\\\ (k=2)\\end{array} $
North Indians0.1400.0330.0340.0320.030
Punjabis0.1410.029 0.0350.0330.030
Marathis0.1370.0290.0330.0300.029
Gujaratis0.1430.0310.0360.0340.031
Hindus (MP) 0.1520.0320.0370.0350.033
South Indians0.1270.0240.031 0.0280.027
Bengalis0.1340.0280.0320.0290.029
"} {"image_path": "images/12fbe28c5761f99aea05b76ddc8e154e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DurchgesetzteMenge (1)Kontaktdauer= 0.2 hDurchgesetzteMenge (1)Kontaktdauer= 0.8 h
aa
6.0 371.07.7 165.5
13.9305.016.5162.0
21.5259.526.8151.5
25.5254.543.6136.0
36.0 258.5
41.5230.5
45.8 251.5
"} {"image_path": "images/6b3d286590759013ac78f8a2eea5c2ab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
WirbelKörperBogen-stielWirbelloch
sagitt.frontalsagitt.frontal
IV. Hals-2·001·751·771·521·65
III. Brust-2·112·301·501·361·65
VII. 2·602·351·731·521·78
III. Lenden-2·752·88·1 361·57
"} {"image_path": "images/2e4b4fedc5ce5ee1943f46a4e28b6ad8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$C_j$0000001$\\theta_1$
$C_B$$X_B$b$x_1$$x_2$$x_3$$x_4$$x_5$$x_6$$x_7$
0$x_4$9[5]3110009/5
0$x_5$15-56150100-
$c_j$000000$\\theta_i$
$C_B$$X_B$b$x_1$$x_2$$x_3$$x_4$$x_5$$x_6$$x_7$
1$x_1$521100-115/2
$c_j-z_j$-2-1-10010
0$x_1$9/513/51/51/50009
0$x_5$2409[16]11003/2
1$x_7$7/50-1/53/5-2/50-117/3
$c_j-z_j$0-1/53/5-2/5010
0$x_1$3/2139/8003/16-1/8000
0$x_3$3/209/161-1/161/1600
1$x_7$1/20-4307/16-3/8010
$c_3-z_j$0-1/53/5-2/5010
"} {"image_path": "images/a67f29fb02fa88915c7be87082d6b86f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
19 x 8 年凭证编号摘 要借 方贷 方借/贷余 额
41期初余额21 000
30耗料20 000
生产工人工资7 000
职工福利费980
结转制造费用8 140
结转完工产品成本40 000
30本期发生额及余额36 12040 00017 120
"} {"image_path": "images/d11cd6bdd3985c646fd64bd859bf6a67.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Your Home ServiceOption B
$\\underline{Cost}$$25.99 per month$45 per month
$\\underline{Speed}$FastSlow
$\\underline{Reliability}$Very reliableVery reliable
$\\underline{Telehealth}$NoYes
Select the option youpreferI would stay with my home serviceI prefer option B
"} {"image_path": "images/9863d44e0199cf78507399de74ee62d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SolventDNSolventDNSolventDN
Acetic acid20Dichloroethane(0)N-Methylformamide49
Acetic anhydride10.5Diacetyl112-Methyltetrahydrofuran18
Acetil chloride0.7Diethylamine50Nitrobenzene4.4 (11)
Acetone17Diethylether19.2Nitromethane2.7 (6)
Acetonitrile14.1N,N-dimethylformamide26.61-Pentanol25
Acetophenone15Dimethylsolfoxide29/83-Pentanone15
Acrilonitrile111,4-Dioxane14.8Phenol11
Amonia59 (4)Ethanol32 (19.2)Piperidine40
Aniline35Ethyl acetate17.1Pyridine-N-Oxide32
Anisole9Ethyl benzoate152-Propanol36
Benzaldehyde16Ethylamine401-Propylamine38
Benzene0.1 (3)Ethylbenzene6Propylene carbonate15.1
Benzonitrile11.9Ethylene glycol20Propionitrile16.1
Benzophenone18Ethylenediamine(55)Pyridine33.1
Benzyl alcohol23Flurobenzene3Quinoline32
Benzyl cyanide15.1Formamide36Styrene5
Bromobenzene3Formic acid19Sulfuryl chloride0.1
Butyronitrile16.6Furan6Tetrahydrofuran20
1-Butanol29Glycerol19Thionyl chloride0.4
2-Butanone17.4Heamethylphosphor triamide38.8Toluene0.1 (4)
Carbon disulfide2n-Hexane0Triethyl phosphate26
Carbon tetrachloride0Hydrazine(44)Triethylamine(61)
Cyclohexane0Iodobenzene4Tri-i-butylamine50
Chlorobenzene(3.3)Mesitylene10Trimethyl phosphate23
Chloroform4Methanol(19) (30)Trimethylamine64
Cumene6Methyl acetate16.3Water(18.0)
Cyclohexanone18Methylamine39Xylene5
Cyclopentanone18Methylene chloride1
"} {"image_path": "images/433da5156ade021fb5ba20aaea4f771a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
S. No.PerformanceIndexPointMPPT Controller
NPIDPIDICPO
1.Undershoot(W)A0.03980.07870.64830.2769
C0.02420.09460.46410.4391
2.Settling Time(ms)A0.020.0300.1100.040
C0.0020.0040.0600.050
3.Ripple (W)B0.04370.12320.90920.8714
4.Energy LossImprovement$(\\%)$A-66.2998.8892.81
C-74.4299.8399.78
5.Power LossImprovement(%)B-64.5395.1994.99
"} {"image_path": "images/e9af9f25de8a8df3d56e5a7d359d4576.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ResinLangmuir isothermFreundlich isotherm
$Q_M\\ (mg/g)$b$R^2$$K_f\\ (mg/g)$n$R^2$
D301151.520.91660.997379.0866.0940.9493
D314120.480.50000.999558.0365.9030.892
D354156.251.56140.999988.3286.6270.8981
"} {"image_path": "images/b59345cf1d9d93d3685cf81997b71492.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ConfigurationTermJ$Level(cm^{-1})^a$$\\langle r\\rangle^{\\mathrm{b}}$
$2s^22p^3(^4S^\\circ)3s$${}^{5}\\mathrm{S}^{\\circ}$2176493.933.118581
$2s^22p^3(^4S^\\circ)4s$${}^{5}\\mathrm{S}^{\\circ}$2235150.587.018244
$2s^22p^3(^4S^\\circ)5s$${}^{5}\\mathrm{S}^{\\circ}$2255498.6012.395027
$2s^22p^3(^4S^\\circ)6s$${}^{5}\\mathrm{S}^{\\circ}$2264969.2719.26418
$2s^22p^3(^4S^\\circ)7s$${}^{5}\\mathrm{S}^{\\circ}$2 270143.4627.629716
$2s^22p^3(^4S^\\circ)3p$$^5\\mathrm{P}$1202449.353.635348
2202460.693.635937
3202480.263.636954
$2s^22p^3(^4S^\\circ)4p$$^5\\mathrm{P}$1243458.908.028873
2 243462.788.02973
3 243469.278.031165
$2s^22p^3(^4S^\\circ)5p$$^5\\mathrm{P}$1 259179.6313.889281
2259181.4613.890432
3259184.4113.892288
$2s^22p^3(^4S^\\circ)6p$$^5\\mathrm{P}$1266912.3721.235569
2266913.3521.236976
3266914.93 21.239244
$2s^22p^3(^4S^\\circ)7p$$^5\\mathrm{P}$1271291.2530.075019
2271291.8430.076694
3271292.7930.079393
"} {"image_path": "images/a16a1fb3fe8359a6f3b400e4adb0ac91.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LevelSpellArea of EffectDurationRangeType
1)Mentalist Tongue *1 target + selfC100'Fm
2)
3)Mind Tongue I *1 target + selfC100'Fm
4)
5)
6)Mind Tongue II *1 target + selfC500'Fm
7)
8)
9) Mind Speech I *10'RCselfFm
10)Mind Tongue III *1 target + selfC1,000'Fm
11)
12)Mind Speech II *100'RCselfFm
13)
14)Friend Speech I *10'RCselfFm
15) Mind Speech III *300'RCselfFm
16)Waiting Tongue10'Rvaries100'Fm
17)
18) Mind Tongue IV *1 target + selfC1 mileFm
19)Friend Speech II *100'RCselfFm
20)Mind Speech True 2,000'RCselfFm
25)Mind Tongue True *1 target + selfC1 mi/lvlFm
30)Waiting SpeechvariesvariesselfFm
50)Far Mind Speech *10'RCI mi/lvlFm
"} {"image_path": "images/850edfe30a45a9f6b7f7b5bd5537c65c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Primary Care Provided in:
ZipCode A ZipCode B ZipCode C ZipCode DTotal
Patients living in zip code A01004050
Patients living in zip code B090010100
Patients living in zip code C02501540
Patients living in zip code D0100190200
Total patients provided primarycare from all zip codes01350255
"} {"image_path": "images/6081ecb50828f46258c0ff737d71ab6e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
t0.51510
$\\bar{t}$.25.753.07.5
A5.53.01.62.21.55
$\\bar{A}$4.252.31.91.88
dA/dt-5.0-3.9.15-.13
B15.715.412.512.79.85
$\\bar{B}$15.5513.9512.611.28
dB/dt-.6-5.8.5-.57
C43.741.242.137.934.55
$\\bar{C}$42.4541.6540.036.23
dC/dt-5.01.8-1.05-.67
"} {"image_path": "images/5da2220db0cfdb79c13ef62c8fab0a99.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
R values
HHVCNHOS
1.00000.6779-0.08350.0268-0.6280-0.1461
P values
HHVCNHOS
1.00000.00000.40890.79140.00000.1470
"} {"image_path": "images/4c9e4014fdc9c75f938b72c697362338.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
German plantUS plant
197519851995199619971998
Theil Index0.0750.0950.1000.1260.1490.142
Inter-Theil0.0660.0800.0840.0740.0900.084
(88%)(84%)(84%)(59%)(60%)(59%)
Intra-Theil0.0090.0150.0160.0520.0590.058
(12%)(16%)(16%)(41%)(40%)(41%)
"} {"image_path": "images/201390f8fc45ff313799964a7f645754.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LDiagram
3a-subtraction3b3c3d3e
4-0.481.790.190.000121.15
6-0.651.400.36-0.0241.61
8-0.711.420.47-0.0231.85
10-0.751.490.54-0.0172.00
$\\infty$(extrapolated-0.881.760.85-0.0102.60
"} {"image_path": "images/966ddfb2ab86fff807ddc28897610b03.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
pc(percentile)$\\mu,\\tilde{\\mu}$
Case 1Case 2
FxLMP algorithm1.59-$1.0 \\times 10^{-6}$$5.0\\times 10^{-7}$
Sun's Algorithm-99.99$1.0 \\times 10^{-6}$$5.0 \\times 10^{-7}$
Modified-Sun's Algorithm -99.50$1.0 \\times 10^{-5}$$5.0 \\times 10^{-6}$
Previous Algorithm-99.00$1.0 \\times 10^{-5}$$5.0 \\times 10^{-6}$
Proposed MFxLMPAlgorithm1.5999.80$1.0 \\times 10^{-5}$$5.0\\times 10^{-6}$
Proposed MNFxLMPAlgorithm1.59-$2.5 \\times 10^{-3}$$2.0 \\times 10^{-3}$
"} {"image_path": "images/89ecc46f5fb4552c40c0ae263393951b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Aq$O_{X}{}^{a}$$Red^b$
$\\Delta G_{\\text {elec }}$$\\Delta G_{\\text {non-elec }}$$\\Delta G_{\\text {elec }}$$\\Delta G_{\\text {non-elec }}$
HF/STO-3G
Aq1-17.5728018.57696-34.4761612.51016
Aq2-17.1544016.19208-26.7776011.75704
Aq3-19.4556015.48080-31.1289612.88672
Aq4-14.5603216.06656-26.4428813.51432
Aq5-14.0582415.60632-27.9072814.05824
HF/6-31G^*
Aq1-40.3337616.06656-57.3626411.84072
Aq2-41.3379213.55616-59.9985610.96208
Aq3-50.5845614.22560-71.7556011.96624
Aq4-39.9153615.35528-55.5216812.88672
Aq5-37.2376014.93688-45.8984812.42648
B3LYP/6-31G^*
Aq1-35.4803217.27992-51.6724013.05408
Aq2-36.3171214.76952-55.0614412.04992
Aq3-50.6264013.97456-66.3164013.17960
Aq4-36.6100016.65232-50.8774414.01640
Aq5-33.3883216.15024-41.2124013.51432
"} {"image_path": "images/27f5712294e322524bc6195db1016e14.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FirmNumber ofBrokersRevenue($ bn)Revenue perBrokerClient Assets($ bn)
Morgan Stanley18,043$12.6$742,000$1,700
Bank of America/Merrill Lynch16,722$11.6$694,000$1,480
Wells Fargo/Wachovia15,200$6.9$454,000$1,200
UBS (U.S. division)6,783$5.3$782,000$715
"} {"image_path": "images/d78825c64097295cda19caf55d0227ec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Parameter indexParameters
1Chen Heat Transfer Coefficient
2Critical Heat Flux Model
3Minimum Film Boiling Temperature
4Film Boiling Lookup Table
5Single Phase Forced Convection to Vapor
6Fission Product Decay
7Discharge Coefficient for Subcooled Liquid
8Discharge Coefficient for Two Phase
9Flow Resistance in Safety Injection Pump
10Moderator Feedback Reactivity
11Fuel Temperature Feedback Reactivity
12Scram Reactivity
13Pellet Conduction
14Interfacial Heat Transfer Coefficient for Flashing
15Gap Conductance
16Fluidic Device Resistance
17Interfacial Friction for Bubbly Flow
18Interfacial Friction for Slug Flow
19Interfacial Friction for Annular Flow
20Interfacial Friction for Inverted Slug Flow
21Interfacial Friction between Vapor and Droplet
"} {"image_path": "images/e6371a484add0380c9ca1f036bc02c88.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Blade elementposition /%Distance fromblade root(rotation radius)r/(m)Tip speedratio $\\lambda_{i}$$\\varPsi$kh$\\varphi$ Bladeelementprime pitchangle $\\beta$ Bladelength C
100.10.441.18540.41072.30080.77090.66610.2169
200.20.881.28770.37201.45350.56610.46140.2394
300.31.321.35470.35511.22540.43220.32750.2117
400.41.761.39860.34691.13310.34450.23970.1803
500.52.201.42860.34251.08740.28440.17970.1541
600.62.641.45010.33991.06160.24140.13670.1335
700.73.081.46620.33831.04560.20930.10460.1172
800.83.521.47850.33711.03510.18450.07980.1042
900.93.961.48830.33641.02790.16490.06020.0937
1001.04.41.49630.33581.02270.14900.04430.0850
"} {"image_path": "images/0991fd0920527835653709c53bf19afd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Range of drop numberTransverse crack spacing (ft)
1-91010)11746578
10-18656674654
19-2791010879458
28-36888548845
37-455946567109
"} {"image_path": "images/bfebdc13bdb497e9f3ad3e4b1f9f901f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Operational profileMatched model-test condition
Ship speedcondition (kts)Thrustcoefficient, $K_{t}$CavitationNumber, $\\sigma_{n}$Water speed,$V_{t}$ (m/s) Propellerrps, n (1/s)Tunnel pressure,p $(10^5~Pa)$ *Reynoldsnumber, Re
120.1645.8754.9628.31.18$0.91\\times10^6$
130.1635.0584.9728.31.03$0.91\\times10^6$
140.1634.3914.9728.30.91$0.91\\times10^6$
14.50.1634.0964.9728.30.85$0.91\\times10^6$
150.1633.8334.9728.30.80$0.91\\times10^6$
160.1643.3724.9628.30.71$0.91\\times10^6$
170.1652.8894.9428.30.60$0.91\\times10^6$
180.1672.4494.9328.30.49$0.91\\times10^6$
190.1711.9654.9028.30.40$0.91\\times10^6$
"} {"image_path": "images/260ae5313abb316fffe5f93d265384bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目1 号2 号3 号4 号5 号
润滑脂颜色黄色黄色黄色黄色黄色
滴点/℃>300>300>300>300>300
工作锥入度(60 次)/0.1mm288291287295289
延长工作锥入度(10 万次)/0.1mm295304299303296
工作锥入度差值7131287
铜片腐蚀性合格合格合格合格合格
钢网分油(100℃,24h)/%0.20.50.50.20.2
水淋流失量(38℃,1h)/%0.40.80.70.50.5
$P_{B}/N$120075080011501200
$P_{D}/N$45003600370045004000
磨痕直径/mm0.400.500.480.410.42
硬化试验硬化前锥入度/0.1mm288291287295289
硬化后锥入度/0.1mm276272271282276
硬化前后锥入度差值219161313
"} {"image_path": "images/65af620ecb52861bbed14561e81b4003.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sizem × n$N_{ave}$
Surrogate MethodsAgmon Methods
S2S3S4A1A2
6 × 3612837554
8 × 437510159376409
10 × 5394362383**
12 × 6376376378392*
*Nonconvergence after 500 iterations.
"} {"image_path": "images/ebd40bbb70d99863fc43fa3eecb8476f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号合金牌号铸造方法力学性能
抗拉强度 $R_{\\mathrm{m}} / \\mathrm{MPa}$屈服强度 $R_{\\mathrm{P} 0.2} / \\mathrm{MPa}$伸长率 A ( % )布氏硬度 HBW
1$ Z C u S n 3 Z n 8 P b 6 N i 1 $S≥175-≥8≥590
J≥215≥10≥685
2ZCuSn3Zn11Pb4S≥175-≥8≥590
J≥215-≥10≥590
3ZCuSn5Pb5Zn5S、J≥200≥90≥13≥590
Li、La≥250≥100≥13≥635
4ZCuSn10P1S≥220≥130≥3≥785
J≥310≥170≥2≥885
Li≥330≥170≥4≥885
La≥360≥170≥6≥885
5$ ZCuSn10Pb5 $S≥195-≥10≥685
J≥245-≥10≥685
6$ ZCuSn10Zn2 $S≥240≥120≥12≥685
J≥245≥140≥6≥785
Li、La≥270≥140≥7≥785
7$ Z C u P b 10 S n 10 $S≥180≥80≥7≥635
J≥220≥140≥5≥685
Li、La≥220≥110≥6≥685
8$ ZCuPb15Sn8 $S≥170≥80≥5≥590
J≥200≥100≥6≥635
Li、La≥220≥100≥8≥635
9$ Z C u P b 1 7 S n 4 Z n 4 $S≥150-≥5≥540
J≥175-≥7≥590
10$ZCuPb20Sn5$S≥150≥60≥5≥440
J≥150≥70≥6≥540
La≥180≥80≥7≥540
11$ZCuPb30$J---≥245
12$ ZCuAl8Mn13Fe3 $S≥600≥270≥15≥1570
J≥650≥280≥10≥1665
13$ ZCuAl8Mnl3Fe3Ni2 $S≥645≥280≥20≥1570
J≥670≥310≥18≥1665
14$ ZCuAl9Mn2 $S≥390-≥20≥835
J≥440-≥20≥930
15$ ZCuAl9Fe4Ni4Mn2 $S≥630≥250≥16≥1570
"} {"image_path": "images/2af7c17d82ad070f10f5089135d2c6b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variables12345M (Boys)SD
1. Homework-$.22\\dagger$.13-.01.04160.41116.34
2. Academically-oriented.05--.03.04-.0335.0949.98
3. Extracurricular.06-.33**--.47**-.06138.63204.03
4. Television-.06-.11.08-.19300.66214.60
5. Hang out-.27*.09-.02.05-36.7562.17
M (Girls)205.0038.5589.06350.3419.64
SD148.5444.52148.39200.5441.91
"} {"image_path": "images/ff39cfce5c4f5011300c948ce79cd099.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工 程 内 容1. 基层处理2. 铺贴防水卷材3. 撒绿头砂
定 额 编 号6-45
项 目单位单价(元)聚氯乙烯防水卷材
苏 J9501-627-E
数 量合 价
定额直接费-27.68
其中人 工 费
材 料 费-26.41
机 械 费-1.27
人工 综合工日工目22.0
材料聚氯乙烯防水卷材$\\mathbf{m}^3$15.0012.914193.71
SBS 卷材$\\mathbf{m}^2$10.00-24.747-247.47
高强 APP粘结剂 A 型kg10.789.464102.02
高强 APP基底处理剂kg5.28-14.143-74.68
机械垂直运输费-1.27
其他机械费
备 注 本定额采用江苏省建筑防水工程概算定额(1999年定额)
"} {"image_path": "images/496f56036dcf5457e6b1ec03c4346243.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Teachers’ mediational behaviorBoysGirls
KeyMathPARTKeyMathPART
Focusing0.160.050.32*-0.02
Expanding0.030.090.51**0.08
Encouraging-0.110.41**0.22-0.08
Regulating behavior-0.080.090.31*0.24
Affecting-0.020.08-0.160.12
"} {"image_path": "images/adbb0e8c581b61bc34ffc9f4901bd83d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MetalElastic constants$(10^{12}~dyn/cm^2)$Lattice parameters(A)Atomicmass(a.m.u.)
$C_{11}$$C_{12}$$C_{13}$$C_{33}$$C_{44}$ac
Hf1.9010.1450.6552.0440.6003.19465.0511178.49
Ti1.7610.8690.6831.9050.5082.95064.678847.90
Y0.7790.2850.2100.7690.24313.6475.73188.919
"} {"image_path": "images/0437f33e9018671b7860a4f0fc70eb85.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$r_1$$r_2$
AC15AC27AC78AC62AC29···
AC15X2222
AC272X233
AC7822X22
AC62232X3
AC292323X
······
"} {"image_path": "images/af9b7f6215ad3640d2d5c6ef33621676.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
spot kick罚点球
free kick罚任意球
throw-in掷界外球
ball handling控制球
block tackle正面抢截
body check身体阻挡
bullt球门前混战
fair charge合理冲撞
chesting胸部挡球
close-marking defence盯人防守
close pass; short pass短传
consecutive passes连续传球
deceptive movement假动作
diving header鱼跃顶球
flying header跳起顶球
dribbling盘球
finger-tip save(守门员)托救球
clean catching(守门员)接高球
flank pass边线传球
high lobbing pass高吊传球
scissor pass交叉传球
volley pass凌空传球
triangular pass三角传球
rolling pass; ground pass滚地传球
slide tackle铲球
clearance kick解除危险的球
to shoot射门
grazing shot贴地射门
close-range shot近射
long drive远射
mishit未射中
offside越位
to pass the ball传球
to take a pass接球
spot pass球传到位
to trap脚底停球
"} {"image_path": "images/1b7ff7988a08034ba42201a584525c54.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
农业工业服务业
1965 年1990 年1965 年1990 年1965 年1990 年
低收入国家413126363235
中下收入国家221732314450
中上收入国家16936404751
高收入国家5343345463
"} {"image_path": "images/07e10193dbc21c577ef055cf179a0b44.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleSolvent$\\lambda_{UV}~(nm)^a$$\\lambda_{Fluo}~(nm)^b$$\\eta_{PL}~(Concentration)$$[\\%~(mg~mL^{-1})]$
PEOF2THF390511-54470 (0.06)
Water399511-5424 (0.04)
DMSO388510-54248 (0.05)
Cyclopentanone392511-54230 (0.05)
Chlorobenzene391511-54343 (0.04)
PEOF3Cyclopentanone392513-54442 (0.04)
Chlorobenzene396512-54443 (0.04)
PEOF4Cyclopentanone392511-54245 (0.04)
Chlorobenzene391511-54257 (0.04)
PEOF5THF367455-50458 (0.04)
Water3205092 (0.04)
PEOF6THF318427-45023 (0.1)
MMF before conversion310-320428-4536 (2.3)
MMF after conversion375512-5411.5 (2.3)
PEOF7THF368457-50970 (0.04)
Water32151034 (0.04)
PEOF8THF366456-50770 (0.04)
Water3115075 (0.04)
PEOF9THF320426-45116 (0.1)
PEOF10THF366430-45359 (0.04)
Water315508-5387 (0.04)
PEOF11THF3244620.4 (2.32)
PEOF13LTHF32645878 (0.04)
Water329488-50830 (0.04)
PEOF14LTHF305-32042810 (0.1)
MMF before conversion304-3184254 (2.3)
MMF after conversion370513-5442.5 (2.3)
"} {"image_path": "images/7a14e504b837e79b9a68429e31f8c59c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompositionRTC coalTireMSWLow ash algaeTreated woodUntreated woodPine needlesPlywood
Proximate (wt.%)
Moisture1.71.027.331.914.618.79.09.7
Volatile matters (dry)31.068.071.579.976.080.249.062.5
Fixed carbon (dry)57.123.27.714.018.417.646.534.8
Ash (dry)11.98.820.86.15.62.24.52.7
Ultimate (wt.%) (dry)
C73.673.845.650.448.649.646.453.6
H4.96.86.06.95.75.96.05.6
N2.20.30.87.11.10.31.40.4
S1.01.30.30.50.10.10.00.0
O6.49.026.529.038.941.941.737.7
Ash11.98.820.86.15.62.24.52.7
HHV (MJ/kg)30.436.025.124.820.220.118.617.9
"} {"image_path": "images/55a5ef842130800fd907f58a581de0c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NC (n=50)T-PE (n=21)PT-PE (n=26)
Maternal characteristics
Age (yr)$24.68 \\pm 3.4$$25.1 \\pm 3.6$$27 \\pm 4.7^{*}$
Body Mass Index $\\left(\\mathrm{kg} / \\mathrm{m}^{2}\\right)$$24.2 \\pm 3.8$$29.0 \\pm 4.7^{**}$$26.6 \\pm 5.4^{*}$
Gestation (wks)$38.9 \\pm 1.2$$38.6 \\pm 1.2$$34.2 \\pm 2.1^{**} ##$
Systolic blood pressure (mmHg) $119.3 \\pm 8.7$ $152.4 \\pm 18.7^{**}$ $ 155.9 \\pm 20.6^{* *} $
Diastolic blood pressure (mmHg)$77.0 \\pm 5.0$$96.3 \\pm 12.8^{**}$ $101.5 \\pm 12.2^{**}$
Parity (n)
Multiparous (n)29917
Nulliparous (n)21129
Gravidity$ 2.21 \\pm 1.1$$ 2.05 \\pm 1.32 $$2.42 \\pm 1.39$
Maternal education (n)
Illiterate310
Primary322
Secondary1389
Higher1157
Graduation1857
Postgraduation201
Neonatal characteristics
Baby wt. (kg)$2.9 \\pm 0.3$$2.7 \\pm 0.6^{*}$$1.7 \\pm 0.4^{**} ##$
Baby length (cm)$49.3 \\pm 3.3$ $47.6 \\pm 2.8^{*}$ $42.3 \\pm 3.5^{**} ##$
Baby sex (n)
Male (n)251019
Female (n)25117
"} {"image_path": "images/d8cf14cf47c24ccfbedbbfac0e879d49.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Decision CenterNot less thanNot more than Warning number(maximum presumption)
Football12.00015.00014.000
Basketball1.5002.5002.000
Handball600700650
Roller-skate hockey500650600
Other sections9001.1001.000
TOTALS5.50019.95018.250
"} {"image_path": "images/adc1c6b8194bea11c057736c2a1e8c52.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
xExactIMQQIDMQQIErrorError
N = 10N = 20N = 20N = 30IMQQIDMQQI
0.52.14812.15002.14812.13432.14741.025E - 056.383E - 04
1.04.15624.15634.15624.15124.15586.026E - 064.374E - 04
1.55.89285.90115.89285.88425.89241.619E - 053.516E - 04
2.07.24047.25937.24047.22647.24003.306E - 053.083E - 04
2.58.03028.01568.03588.00568.02982.109E - 043.599E - 04
3.04.51404.80064.51434.47734.49652.169E - 041.750E - 02
"} {"image_path": "images/1985f983b37799c28da0144f8c31e0e2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RCalculéTrouvé$\\mathrm{d}_{\\mathrm{D}}^{20}$$\\mathrm{n}_{\\mathrm{D}}^{20}$$\\begin{array}{c}\\mathrm{RM} \\\\ \\text { calculé }\\end{array}$ RMtrouvé
C %H %C %H %
1)80,6911,6980,7411,740,94921,490963,6263,54
2)81,2811,9381,0011,940,92321,482472,8673,05
3)81,2811,9380,9811,690,92541,482272,8672,85
4)81,5412,0881,1012,030,92371,482977,4877,41
5)81,5412,0880,9611,740,91541,479577,4877,61
"} {"image_path": "images/6db9d6935caf41aa370d67cf4c14cfdc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.OperationDescription
1child(x,i)Find the ith child of node x
2child_rank(x)Report the number of left siblings of node x
3degree(x)Report the degree of node x
4depth(x)Report the depth of node x
5level_anc(x,i)Find the ancestor of node x that is i levels above node x
6subtree_size(x)Report the number of nodes in the subtree rooted at node x
7height(x)Report the height of the subtree rooted at x
8deepest_node(x)Find the deepest node in the subtree rooted at node x
9LCA(x, y)Find the lowest common ancestor of nodes x and y
10lmost_leaf(x) /rmost_leaf(x)Find the leftmost/rightmost leaf of the subtree rooted at node x
11leaf_rank(x)Report the number of leaves before node x inpre order
12leaf_select(i)Find the ith leaf from left to right
13pre_rank(x)/post_select(x)Report the number of nodes preceding node x in preorder/postorder
14pre_select/post_select(i)Find the ith node in preorder/postorder
15level_lmost(i)/level_rmost(i)Find the leftmost/rightmost node among all nodes atdepth i
16level_succ(x)/level_pred(x)Find the node immediately to the left/rightof node x among all nodes at depth i
17access(i)Report P[i]
18find_open(i)/find_close(i)Find The matching parenthesis of P[i]
19enclose(i)Find the closest enclosing matching parenthesis pair for P[i]
20rank_open(i)/rank_close(i)Report the number of opening/closing parentheses in P[1..i]
21select_open(i)/select_close(i)Find theith opening/closing parenthesis
"} {"image_path": "images/dab770d2444702dca3db8086f7680598.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Z^{*}$
Ba/KTi/Nb0(I)O(II)
$\\mathrm{BaTiO}_{3}$2.97.3-5.8-2.2
Ref. [21]2.757.16-5.69-2.11
Ref. [17]2.747.29-5.75-2.13
$KNbO_{3}$1.39.4-7.3-1.7
Ref. [21]1.149.23-7.01-1.68
Ref. [22]1.149.37-6.86-1.65
Ref. [23]1.129.67-7.28-1.74
"} {"image_path": "images/a8bed1a82bfd78c21e8b1a9a06ca69da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SeasonalmodelApproximation Log-additive
$\\tilde{h}_0(\\mathbf{x}(t))$$\\tilde{h}_1(\\mathbf{x}(t))$$\\tilde{h}_2(\\mathbf{x}(t))$$\\tilde{h}_3(\\mathbf{x}(t))$
BHT-643.4-643.4-644.2-643.8-643.8
BAYSEA-661.0-661.0-663.0-662.7-662.5
Parallel-657.2-657.3-658.5-658.5-657.0
"} {"image_path": "images/36d8e097d93ffcf324dd0a532dbdaec3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableAE (n = 43)Mean (SE)CON (n = 54)Mean (SE)GroupFSexFGroup × sexF
Accuracy80.35 (1.9)87.96 (1.7)8.869 **4.014*.167
Omission errors15.69 (1.8)2.95 (1.6)26.702 **.004.003
Commission errors22.93 (2.9)22.45 (2.4).0163.237.238
Latency519.60 (13.0)474.30 (11.0)7.070 **1.348.849
Variability193.59 (11.8)123.87 (10.0)20.998 **2.2363.058
C.O.V.33.95 (1.9)25.12 (1.7)11.994 **3.1401.391
"} {"image_path": "images/e908556634cfe4f638c14293873bc148.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Classification accuracy
GroupsMethod 1RF accuracyMethod 1CV accuracyMethod 2RF accuracyMethod 2CV accuracy
Alzheimer's, old, young61.0%42.9%65.9%58.5%
Alzheimer's, old63.0%59.3%70.4%37.0%
Alzheimer's, young81.5%74.1%81.4%63.0%
Old, young82.1%71.4%92.9%71.4%
Schizophrenic, normal80%75%90%70%
"} {"image_path": "images/8a0e67a82a884b847f0e68c57296017a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ItemModelFull-scale
Length between P.S (m), L4.000300.0
Breadth (m)0.53340.0
Draft (m)0.18714.0
Block coefficient0.65
Propeller diameter $(\\mathrm{m}), D$0.1209.0
Propeller pitch/D1.003
Rudder height/D0.7692
W. S. area incl. rudder $\\left(\\mathrm{m}^{2}\\right)$2.8230615879.7
Form factor, $1+k$1.13
Thrust deduction coeff. $1-t$0.832
$C_\\text{w}-F_n$ curve 0th coeff.-0.009093
$C_\\text{w}-F_n$ curve 1st coeff.-.001567
$C_\\text{w}-F_n$ curve 2nd coeff.1.153
$C_\\text{w}-F_n$ curve 3rd coeff.-7.125
$C_{w}-F_{n}$ curve 4th coeff.12.36
$K_{T}-J$ curve 0th coeff.0.49150.4927
$K_{T}-J$ curve 1st coeff.-0.3762-0.3762
$K_{T}-J$ curve 2nd coeff.-0.0621-0.0621
$K_{Q}-J$ curve 0th coeff.0.073090.07212
$K_{Q}-J$ curve 1st coeff.-0.04306-0.04306
$K_{O}-J$ curve 2nd coeff.-0.01559-0.01557
Wake coeff. ratio, $\\varepsilon$1.0
$\\text{Prop. race factor, } \\kappa$0.6
Longitudinal projected area above water $\\left(\\mathrm{m}^{2}\\right), ~A_{r}$0.27501547
Wind force coeff. in head wind condition, $C_{Xh}$-0.604
"} {"image_path": "images/28f96f0fda404ede8c4c462231a8fa89.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CollaborationTargetFinal stateNo. pointsRefs.
EMCProtonInclusive10[21]
SMCProton, deuteronInclusive12,12[22]
E-143Proton, deuteronInclusive82,82[23]
E-155Proton, deuteronInclusive24, 24[24]
HermesProton, heliumInclusive9,9[10]
E-142HeliumInclusive8[25]
E-154HeliumInclusive17[26]
SMCProton, deuteron$h^+,~h^-$24, 24[6]
HermesProton, helium$h^+,~h^-$18,18[10]
"} {"image_path": "images/62ab8691047e64ae9d5ab167de574381.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fine/total aggregate ratioMix codeFine aggregatesCoarse aggregatePacking factor
WFSNatural sand
0.40WFS-000.0000.4000.6001.103
WFS-150.0600.3400.6001.094
0.45WFS-000.0000.4500.5501.086
WFS-150.0680.3820.5501.089
0.50WFS-000.0000.5000.5001.060
WFS-150.0750.4250.5001.075
0.55WFS-000.0000.5500.4501.061
WFS-150.0830.4670.4501.056
0.60WFS-000.0000.6000.4001.078
WFS-150.0900.5100.4001.077
"} {"image_path": "images/ca40dcfe3df622863e7ad7962ad7f665.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\lambda_{\\mathrm{photolysis}}$(nm)$CH_{3}$ vibrational mode$CD_{3}$ vibrational mode
(0000)(0000)$(1000)^{a}$
212.80.720.930.54
227$...^{b}$0.890.46
2290.67$...^{b}$$...^{b}$
2310.650.840.40
235$...^{b}$0.770.33
"} {"image_path": "images/72b217b581f3275ec27d228d20c01403.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Vertical variationPlanar variation
Distance(cm)FEA$(\\mu H)$Analytical$(\\mu H)$Practical$(\\mu H)$Angle$\\theta$(degree)FEA$(\\mu H)$Analytical$(\\mu H)$Practical
$\\theta$(degree)$(\\mu H)$
212.3618.0517.31017.417.56017.69
313.4013.9713.661016.9 17.051516.87
410.9011.1613.662015.916.113015.66
58.809.118.833015.315.364515.32
67.377.547.234014.914.966015.88
76.196.325.815014.914.967517.09
85.245.344.846015.315.369018.38
94.464.543.917015.916.11
103.833.893.268016.917.05
9017.417.56
"} {"image_path": "images/42a7912278d2a580744857efe8f4f2d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SchemeYearOrganic matter (BOD)Total Phosphorus
Influent(kg/$m^3$)Effluent(kg/$m^3$)% RemovalInfluent(kg/$m^3$)Effluent(kg/$m^3$)% Removal
Scheme A(Base case)20140.054770.0040392.630.001440.0007247.96
20150.040800.0031092.390.001910.0006663.19
20160.042870.0032492.390.002140.0005573.78
20170.047570.0033294.610.001520.0006556.61
Average0.046500.0034293.010.001750.0006560.38
Scheme B20140.040980.0062484.800.001990.0015422.96
20150.042460.0065684.480.002440.0011253.92
20160.039930.0051887.170.002260.0010354.14
20170.037790.0036392.740.002250.0010553.44
Average0.040290.0054087.300.002240.0011946.12
Scheme C20140.034060.0051684.670.002240.0011448.92
20150.033730.0056183.340.002060.0011643.66
20160.035850.0052085.500.002140.0009953.62
20170.035650.0049288.500.002100.0008957.39
Average0.034820.0052285.500.002140.0010450.90
Scheme D20140.071300.0098985.74N.A.N.A.N.A.
20150.066550.0083687.39N.A.N.A.N.A.
20160.061800.0083386.36N.A.N.A.N.A.
20170.057870.0075488.60N.A.N.A.N.A.
Average0.064380.0085387.02
Scheme E20140.039060.0064583.250.001910.0005471.11
20150.041050.0054886.630.001920.0006466.66
20160.040400.0035091.300.001810.0005569.36
20170.046300.0049892.520.001990.0006169.34
Average0.041700.0051088.430.001910.0005869.12
"} {"image_path": "images/8b11836da0667face08b1c606fb100b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
h$\\int_\\Omega|\\nabla u_{1,h}|d\\mathbf{x}$$\\int_\\Omega|\\nabla u_{2,h}|d\\mathbf{x}$$\\int_\\Omega|\\nabla u_{1,h}\\cdot\\nabla u_{2,h}|d\\mathbf{x}$$||\\mathbf{u}-\\mathbf{u}_h||_{L^2}$RateIter
0.050.94131.00.01676.20e-0348
0.0260.97001.00.00242.45e-031.3396
0.0130.98491.00.00111.10e-031.15184
0.0060.99251.00.00033.13e-041.82117
"} {"image_path": "images/9407ccdde7cdb99afde34540bb1b1c41.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Mode ofvibrationObserved frequenciesCalculatedfrequencies % deviation$=\\frac{\\nu_{\\mathrm{obs.}}~-~\\nu_{\\mathrm{cal.}}}{\\nu_{\\mathrm{obs.}}}\\times100$
RamanInfra-redin $CCl_4$
ν (N-H)335234703474-0·1
ν (C=O)166116911679+0·7
δ (N-H)..14861498-0·8
ν (C-N)124012501241, 1258+0·72 and -0·64
$ν~(N-CH_3)$981990987+0·4
$ν~(C-CH_3)$885881874+0·8
δ (O=C-N)628..608+3·0
$δ~(C—CH_3)$435..436-0·2
$δ~(CH_3-N-C)$289..276+4·5
"} {"image_path": "images/62ee24571bde2571365215afa02ecff2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$[\\text{M-Mn(acac)}_3]$Relative intensities of ion currents, normalizedto the peak of $Mn(acac)_3^{+\\bullet}$ (see Table 1), T = 373K
Synthesis conditions$[\\mathrm{Mn}(\\mathrm{acac})]^{+\\bullet}$$\\left[\\mathrm{Mn}(\\mathrm{acac})_{2}\\right]^{+\\bullet}$$\\left[\\mathrm{Mn}(\\mathrm{acac})_{3}\\right]^{+\\bullet}$$ \\left[\\mathrm{Mn}(\\text { acac })_{3}\\right]^{+\\bullet } $
${\\mathrm{Al}{-}\\mathrm{Mn}(\\mathrm{acac})_{3}}$In situ---1
$\\mathrm{AlH}_{3}{-}\\mathrm{Mn}(\\mathrm{acac})_{3}$\"0.241.730.111
$\\mathrm{Cr}{-}\\mathrm{Mn}(\\mathrm{acac})_{3}$\"---1
$\\mathrm{Cu}{-}\\mathrm{Mn}(\\mathrm{acac})_{3}$\"0.400.851
$\\mathrm{Fe}{-}\\mathrm{Mn}(\\mathrm{acac})_{3}$\"5.5412.892.711
$\\mathrm{Ga}{-}\\mathrm{Mn}(\\mathrm{acac})_{3}$\"0.030.350.011
Mechanic activation420.934923.6957.71
$\\mathrm{Hf}{-}\\mathrm{Mn}(\\mathrm{acac})_{3}$In situ---1
$\\mathrm{In}{-}\\mathrm{Mn}(\\mathrm{acac})_{3}$\"---1
Mechanic activation0.191.380.121**
$\\mathrm{pb}{-}\\mathrm{Mn}(\\mathrm{acac})_{3}$In situ10.92.001
Mechanic activation0.850.171**
$\\mathrm{Zn}{-}\\mathrm{Mn}(\\mathrm{acac})_{3}$In situ80.471.61
$\\mathrm{Zr}{-}\\mathrm{Mn}(\\mathrm{acac})_{3}$\"---1
"} {"image_path": "images/012e94de9a69a0603d8c8c2bfc52019d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Constellation12345
ValueperspectiveValue facilitationValue facilitationValue facilitationValue co-creationValue co-creation
ServicebusinessstrategyAfter-sales service providerDevelopment partnerCustomer servicestrategyCustomer supportservices strategyDevelopmentpartner strategy
ServiceofferingCustomer support servicesDevelopment serviceofferingsCustomer serviceofferingCustomer supportservice offeringDevelopmentservices
Empiricalexamples ofchallengesrelated toconstellationEmployees' valueperspectiveManagerial challengesSales force resistanceGoals without strategiesContinuous serviceinnovationCustomer resistanceRole in the value networkFinding profitable businessmodelsEmployees' valueperspectiveManagerial challengesSales force resistanceGoals without strategiesContinuous serviceinnovationCustomer resistanceRole in the value networkFinding profitable businessmodelsNo challenges. Due toa unique productionprocess, they did notwant to increase theirservice orientation.Overcame most ofthe challenges. Stillstruggles withcustomer resistance.Overcame most ofthe challenges. Stillstruggles withcustomer resistance.
"} {"image_path": "images/3adad99e845b9661464445fc4667dff7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Identity$(\\alpha(x_1),\\beta(x_1))$$(\\alpha(x_2),\\beta(x_2))$$(\\alpha(x),\\beta(x))$
$x_{1}x_{2}-x_{2}x_{1}$(0,0)(0,0)
(0,1)(0,0)
$x_{1}x_{2}+x_{2}x_{1}$(0,1)(0,1)
$x_{1}xx_{2}-x_{2}xx_{1}$(t,0)(-t, 0)(t,0)
(t,0)(-t, 1)(t,0)
(t,1)(-t, 0) (t,0)
$x_{1}xx_{2}+x_{2}xx_{1}$(t,1)(-t, 1)(t,0)
(t,1)(-t, 0)(t,1)
(t,1)(-t,1)(t,1)
"} {"image_path": "images/6f3294b7957b7877e454caa8cb1dde46.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
concn of ND-PVAsolution used in spin-coating(wt %)ND fraction in the composite (vol %)$n_{C}^{a}$thickness of single layer in themultilayer film (nm) $peak^c$ (nm)$\\text{reflectance}^\\mathrm{d}\\ (\\%)$
NDPVAND-PVA$PMMA^b$
148.41.584512151827
1.913.35171.634911853258
3.53301.714412355476
"} {"image_path": "images/ac70d8a98a202fba85cccb6158862191.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1768-1860$p>\\chi^2$
EquationExcludedHP filterGrowth rates
Wheat priceBirth rate0.28810.0837
Wheat priceDeath rate0.42330.4831
Birth rateWheat price0.23580.3363
Birth rateDeath rate0.65130.6408
Death rateWheat price0.57170.3803
Death rateBirth rate0.10370.3245
"} {"image_path": "images/1216d6edd0e7b4dc2b13d8a59b29eac4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample%Pd% Sn% In
SI
Pd5%0.5%Sn/Sty-DVB5.100.25-
Pd5%2.0%Sn/Sty-DVB5.101.25-
Pd5%4.0%Sn/Sty-DVB5.102.56-
Pd5%0.5%In/Sty-DVB5.20-0.42
Pd5%2.0%In/Sty-DVB5.20-1.58
Pd5%4.0%In/Sty-DVB5.20-3.20
CR
Pd5%0.5%Sn/Sty-DVB5.200.21-
Pd5%2.0%Sn/Sty-DVB5.201.04-
Pd5%4.0%Sn/Sty-DVB5.203.70-
Pd5%0.5%In/Sty-DVB5.20-0.33
Pd5%2.0%In/Sty-DVB5.20-1.50
Pd5%4.0%In/Sty-DVB5.20-3.36
"} {"image_path": "images/154cc7e02ed6e7bac503462a46a11eef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ForeignTotal
HmEmHmEm
A. Top 50
19940.10089.921.200915.88 0.082612.111.313420.58
19950.077312.931.354122.600.048020.851.478230.07
19960.083312.011.355322.660.054018.511.449428.14
19970.072213.851.405925.460.052419.081.451128.25
19980.048520.611.467629.350.055118.141.445627.90
19990.046621.481.469129.450.055018.181.430326.93
20000.10129.881.292619.620.057817.311.421726.40
20010.0714 0.071414.001.365023.17 0.061216.331.393024.72
20020.069514.381.402625.27 0.061716.201.411425.79
20030.065615.251.436127.300.062416.02 1.404025.35
B. Top 100
20040.0494 0.049420.251.622341.910.036127.671.660345.74
20050.0413 24.20 1.6493 44.600.032530.74 1.686748.61
20060.039225.531.647944.450.034029.381.671246.90
"} {"image_path": "images/28965d93261cba423735d7db6358aa50.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
e$\\alpha$$\\Delta e$NBNMNSZEPSPMPB
NBVBVBVBBSBSZE
NMVBVBBBMBSVS
NSVBMBBVBVSSVS
ZESSBMBZEMBSBS
PSVSSVSVBBMBVB
PMVSSMBBBVBVB
PBZESSBBBVBVB
"} {"image_path": "images/e7a4e47fdffe617737d8a49747f107dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ResidueC1C2C3C4C5C‘6$\\mathrm{NAc}\\left(\\mathrm{CH}_{3}, \\mathrm{CO}\\right)$
OPS of S. dysenteriae type 3
$\\beta$-D-Glcp4RLac-(1 $\\longrightarrow$103.674.377.078.576.062.0
$\\longrightarrow$ 6)-$\\alpha$-D-Glc$p$-(1 $\\longrightarrow$100.373.173.869.9 71.669.1 69.1
$ \\longrightarrow 3)-\\beta-D-\\operatorname{Gal} p-(1\\longrightarrow $104.672.081.876.676.461.0
$\\longrightarrow$ 6)- $\\beta$-D-Galf-(1 $\\longrightarrow$110.382.478.284.470.972.5
$\\longrightarrow$ 3)- $\\beta$ - $D$-Glc $p$ NAc-(1 $\\longrightarrow$104.652.579.469.176.062.423.5, 175.7
RLac179.877.819.7
$\\mathrm{LPS}_{\\mathrm{NH}_{4} \\mathrm{OH}}$ from S. dysenteriae type 9
$\\longrightarrow$ 2)- $\\beta-D-\\mathrm{Gal} p^{\\mathrm{I}} 3,4 R \\mathrm{Pyr}-(1 \\longrightarrow$102.379.780.376.474.462.2
$\\longrightarrow 4)-\\beta$-$D$-Man$p$-(1$\\longrightarrow$102.371.473.078.976.361.9
$\\longrightarrow 4)-\\alpha-D-\\operatorname{Gal} p^{\\mathrm{II}}-(1 \\longrightarrow$100.769.170.777.671.761.5
$\\longrightarrow$ 3)- $\\beta$ - $D$-Glc $p$ NAc-(1 $\\longrightarrow$101.155.781.072.177.062.023.8, 175.9
RPyr177.0108.724.4
$ \\mathrm{OPS}_{\\mathrm{AcOH}}$ from S. dysenteriae type 9
$\\longrightarrow 2)$ - $\\beta$ - $D$ - $G$ - $p^{I}$ -(1 $\\longrightarrow$103.178.875.170.376.762.4
$\\longrightarrow 4)-\\beta-D-\\operatorname{Man} p-(1 \\longrightarrow$102.271.373.179.276.462.2
$\\longrightarrow 4)-\\alpha-D-\\operatorname{Gal} p^{\\mathrm{II}}-(1 \\longrightarrow$100.869.970.877.671.861.5
$\\longrightarrow$ 3)- $alpha$ - $D$-Glc $p$ NAc-(1 $\\longrightarrow$102.556.181.372.276.962.223.9, 175.5
OPS of S. boydii type 4
$\\alpha$-D-Glc $p \\cdot(1 \\longrightarrow$99.173.074.471.073.361.8
$\\longrightarrow$ 2,3)-α-L-RhapI-(1\\longrightarrow99.777.779.773.371.217.8
$\\longrightarrow$ 4)- $\\beta$ -$ D-G l c p A-(1\\longrightarrow$105.175.075.580.576.2175.1
$\\longrightarrow$ 3)-\\beta- $L$-Rhap $^{I I}-(1 \\longrightarrow$101.971.983.972.673.418.3
$\\longrightarrow$ 4)- $\\beta$ - $D$-Glc $p$ NAc-(1 $\\longrightarrow$104.657.575.379.075.962.623.8, 176.0
"} {"image_path": "images/4f73be865847c11d64dc18202a5e9a1f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Treatment$\\frac{Q_{\\mathrm{ethanol}}}{Q_{\\mathrm{PKO}}}$PKO biodieselobtained(g)Glycerolobtained (g)Losses (g)
10.10029.50土0.0870.20土0.0811.30土0.08
20.12554.00土0.1645.90土0.0813.60土0.21
30.15075.00土0.8937.50土0.783.50土0.71
40.17589.00土2.2722.20±0.087.30土2.24
50.20096.00土0.5320.50土0.634.50土1.09
60.22593.50土0.1223.20土0.086.80±0.58
70.25087.20土0.2935.80±0.293.00±0.29
"} {"image_path": "images/bf1a9ed557a0b2cae1ffa56f72a5872c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\mathrm{Min}_{i}^{L}/\\mathrm{Max}_{i}^{L} $Minimum/maximum longitudinal centre of gravity at displacement interval $i \\in \\mathcal{I}$
$\\mathrm{D}_{b}^{\\{L, V\\}}$Longitudinal $(L)$, and Vertical $(V)$ centre of gravity of block $b \\in \\mathcal{B}$
$\\quad D_{t}^{\\{L, V, T\\}}$Longitudinal $(L)$, Vertical $(V)$, and transversal $(T)$ centre of gravity of ballast tank $t \\in \\mathcal{T}$
Max$^{V}$Maximum vertical moment possible for the vessel
$LM^{O}$ Longitudinal moment of the empty vessel including constant weights
$VM^{O}$ Vertical moment of the empty vessel including constant weights
$TM^{O}$ Transversal moment of the empty vessel including constant weights
Bending/shearing parameters
$ {W_{f\\alpha}^{S}} $Constant weights fore or aft of frame $f \\in \\mathcal{F}$
$G_{\\{b,t,bs\\}f}^\\alpha$Fraction of block $b$, ballast tank $t$, and buoyancy section between bonjean stations $b s$ and $b s+1$that lies fore or aft frame $f$
$ W_{f\\alpha}^{B} $Bending components of the constant weight fore or aft of frame $f \\in \\mathcal{F}$
$D_b^{Bs}$Distance in meters between bonjean stations $bs$ and $bs+1$ multiplied by the density of water
$ \\quad A_{\\{b, t, b s\\} f}^{\\alpha} $Fore or aft distance from frame $f$ to the longitudinal centre of gravity of block $b$, ballast tank $t$,buoyancy section between bonjean stations $bs$ and $bs+1$
$G_{f}$Fore-based fraction of frame $f \\in \\mathcal{F}$, where $G_{f} \\in[0 ; 1], G_{f}=1$ when $f$ is the first frame at the bow,and $G_{f}=0$ when $f$ is the first frame at the stern
$ \\operatorname{Min}_{f}^{\\{S,B\\}} $Lower bound for shear force $(S)$ and bending moment $(B)$ at frame $f \\in \\mathcal{F}$
$\\operatorname{Max}_{f}^{\\{S, B\\}}$Upper bound for shear force $(S)$ and bending moment $(B)$ at frame $f \\in \\mathcal{F}$
"} {"image_path": "images/388f9cd7b9a78b927e66e13048f58a93.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\nu$$\\tau$y$z \\ \\text{in} \\ S_L$$z \\ \\text{in} \\ S_B$
$\\beta_1$$\\beta_2$$\\beta_1$$\\beta_2$$\\beta_1$$\\beta_2$
220.002·1432·2336·4440·0003·594
440·0002·4551·1364·7690·0003·278
660·0002·6000·7574·1800·0003·180
240·2192·6251·3845·2430·1313·625
260·4803·1091·1144·8680·2443·741
460·0512·6080·8354·3330·0223·262
"} {"image_path": "images/f3ad4a773fef11e42bc1b15e4382e491.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号检查项目扣分标准应得分数扣减分数实得分数
小计60
7一般项目班前安全活动 未建立班前安全活动制度,扣 10 分,班前安全活动无记录,扣 2 分10
8特种作业持证上岗一人未经培训从事特种作业,扣 4 分一人未持操作证上岗,扣 2 分10
9工伤事故处理工伤事故未按规定报告,扣3 ~5 分工伤事故未按事故调查分析规定处理,扣 10 分未建立工伤事故档案,扣 4 分10
10安全标志无现场安全标志布置平面图,扣 5 分现场未按安全标志总平面图设置安全标志的,扣 5 分10
小计40
检查项目合计100
"} {"image_path": "images/a9163cce7c308e5674d3015febc73eb4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Atoms$\\mathrm{Ho}_{5} \\mathrm{Ni}_{2} \\mathrm{Sb}$$\\mathrm{Ho}_{5} \\mathrm{Ni}_{2} \\mathrm{Bi}$Atoms$\\mathrm{Ho}_{5} \\mathrm{Ni}_{2} \\mathrm{Sb}$$\\mathrm{Ho}_{5} \\mathrm{Ni}_{2} \\mathrm{Bi}$
Ho1-4Ni2.961(4)2.989(4)Ho2-1Ho23.689(2)3.690(3)
$2X^{a}$ 3.3216(6)3.3609(6)2Ho23.802(2)3.847(2)
8Ho23.400(1)3.419(1)
Ni-1Ni2.842(6)2.786(6)
Ho2-2Ni2.879(4)2.854(4)4Ho22.879(4)2.854(4)
1Ni2.906(4)2.962(4)2Ho22.906(4)2.962(4)
2X3.215(1)3.253(1)2Ho12.961(4)2.989(4)
1Ho23.386(2)3.348(2)
2Ho13.400(1)3.419(1)X-8Ho23.215(1)3.253(1)
1Ho23.553(2)3.652(2)2Ho13.3216(6)3.3609(6)
"} {"image_path": "images/e23a44bdc68b075248f87c8f245cad5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ReactionB3LYPQCISD(T)MP2MP4PMP4
$\\mathrm{NH}_{2}\\mathrm{CH}_{2}\\mathrm{OH}_{2}^{+}+\\mathrm{HCOOH}\\rightarrow\\mathrm{NH}_{2}\\mathrm{CH}_{2}\\mathrm{COOH}_{2}^{+}+\\mathrm{H}_{2}\\mathrm{O}$+17.7+15.6+18.7+20.0
$\\mathrm{NH_3^+~+~CH_3COOH}\\rightarrow\\mathrm{NH_3CH_2COOH^++H}$-7.4-10.5-15.0-10.4-9.5
$\\mathrm{NH_3^+~+~CH_3COOH}\\rightarrow\\mathrm{NH_2CH_2COOH^+~+~H_2}$-6.6-3.5-1.8-2.6-2.8
$\\mathrm{NH_3^+~+~CH_3COOH}\\rightarrow\\mathrm{NH_3~+~CH_3COOH^+}$+8.4+11.4+19.4+16.1+15.9
$\\mathrm{NH}_{2}^{+}+\\mathrm{CH}_{3}\\mathrm{COOH}\\rightarrow\\mathrm{NH}_{2}\\mathrm{CH}_{2}\\mathrm{COOH}^{+}+\\mathrm{H}$-32.0-27.5-28.7-26.0-25.8
$\\mathrm{NH_2^+~+~CH_3COOH}\\rightarrow\\mathrm{CH_3CONH_2^+~H}$-4.3+2.7+1.0+2.3+2.5
$\\mathrm{NH_2^+~+~CH_3COOH}\\rightarrow\\mathrm{NH_2~+~CH_3COOH^+}$-18.3-9.8-0.9-6.1-6.6
$\\mathsf{CH}_3\\mathsf{NH}_2^+\\:+\\mathsf{HCOOH}\\to\\mathsf{NH}_3\\mathsf{CH}_2\\mathsf{COOH}^+\\:+\\mathsf{H}$+4.1-4.0-10.3-4.8-3.8
$\\mathrm{CH_3NH_2^+~+~HCOOH}\\rightarrow\\mathrm{NH_2CH_2COOH^+~+~H_2}$+5.0+3.1+2.8+3.0+3.0
$\\mathrm{HCOO^+~+~CH_3NH_2\\rightarrow NH_2CH_2COOH^++H}$+29.4+29.2+34.1+34.9+33.9
"} {"image_path": "images/97d70d2daf978c82af9e654333fc22c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\text{t (μm)}$
12346810
${E_{0}=50~\\mathrm{keV}}$
$E_{P} $ 0.350.951.552.253.554.956.85
$E_m$0.7981.6482.5573.5215.6357.96310.43
$E_{0}=40~\\mathrm{keV}$
$E_P$0.521.162.042.84 4.687.089.28
$E_{m}$ 0.982.06 3.244.537.3610.3813.36
$E_{0}=30~keV$
$E_P$0.691.712.974.117.3510.214.4
$E_m$1.292.804.526.3610.1513.7116.89
$E_{0}=25~ keV$
$E_P$0.8752.233.55.59.013.5
$E_m$1.553.475.567.7611.9215.21
"} {"image_path": "images/6b58d4bba9862fa61b2fface9e44a579.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Theory$T_{c}^{\\ast}$$\\rho _{c}^{\\ast}$$P _{c}^{\\ast}$$Z_{c}$
2VC (7.0)0.388810.249130.034770.359
DMT (7.0)0.436640.553200.106120.439
SHU (7.0)0.437560.552070.111210.460
2VC (4.0)0.551530.249130.049320.359
DMT (4.0)0.614320.42806 0.099030.377
SHU (4.0)0.614450.431040.102440.387
2VC (3.0)0.692180.249130.061900.359
DMT (3.0)0.764000.37993 0.105290.363
SHU (3.0)0.763170.383350.107280.369
2VC (1.8)1.14280.24913 0.102200.359
DMT (1.8)1.24010.318640.141020.357
SHU (1.8)1.23810.320550.141170.356
2VC (1,0)2.39150.249130.213870.359
DMT (1.0)2.53360.278530.254270.360
SHU (1.0)2.53190.279030.253930.359
2VC (0.5)6.87580.249130.614880.359
DMT (0.5)7.07540.258150.660150.361
SHU (0.5)7.07480.258210.660000.361
"} {"image_path": "images/9304d3618d1bfc554068df9f0c29569a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ORSE95% CI
Step 1
DoT (ASD=1)*1.500.25[1.08, 2.10]
Context (Social=1)***0.490.08[0.34, 0.68]
Stakes (Grade=1)**1.730.29[1.24, 2.42]
Radom effect of subject (SD)1.290.16[1.00, 1.65]
Step 2
DoT × context1.48 0.52[0.75, 2.94]
DoT × stakes0.620.21[0.31, 1.22]
Context × stakes**0.310.10[0.15, 0.61]
Radom effect of subject (SD)1.330.17[1.03, 1.70]
Step 3
DoT × stakes*0.370.17[0.15, 0.92]
DoT × context × stakes1.180.70[0.82, 12.98]
Random effect of subject (SD) 1.330.17[1.04, 1.71]
"} {"image_path": "images/d3cfaaeeef9fe027637821ebbf705965.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Permeabilityconstants$P_1 = P_2 = P_3$=P$P_1 = P_2 = P_3$=10*P$P_1 = 10^*P,$$P_2 = P_3 = P$$P_2 = 10^*P,$$P_1 = P_3 = P$$P_3 = 10^*P,$$P_1 = P_2 = P$
Region l$0 - x_1^-$$0 - x_1^-$$0 - x_1^-$$0 - x_1^-$$0 - x_1^-$
$C_A:$1-1.0721-1.2451-1.3411-1.0141-1.111
$C_F \\times 10^3:$4.45-3.784.45-2.414.45-1.774.45-4.324.45-3.45
$C_{AF}:$8.955-8.8838.955-8.7108.955-8.6158.955-8.9428.955-8.844
Region Il$x_1^+ - x_2$$x_1^+ - x_2$$x_1^+ - x_2$$x_1^+ - x_2$$x_1^+ - x_2$
$C_B:$2.3272.8840.7864.0833.745
$C_F \\times 10^3:$2.08-1.701.83-0.5759.73-7.970.399-0.3280.831-0.261
$C_{BF}:$2.6512.0944.1920.8951.233
"} {"image_path": "images/57a353a7ad15c64e818350949ba32d8d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T(°C)Annealingambient$D_{s}\\:(\\mathrm{cm}^{2}\\:\\mathrm{s}^{-1})$$K(cm^{3}\\:\\mathbf{s}^{-1})$
825$P_{As_{4}}=1\\mathrm{atm}$$1.6\\times10^{-16}$$5\\times10^{-25}$
Ga rich$7\\times10^{-18}-4\\times10^{-17}$$6\\times10^{-27}-3\\times10^{-26}$
875$P_{As_{4}}=1\\mathrm{atm}$$8\\times10^{-16}$$1.4\\times10^{-24}$
Ga rich$4\\times10^{-17}-7\\times10^{-17}$$7\\times10^{-27}-4\\times10^{-26}$
925$P_{As_{4}}=1\\mathrm{atm}$$3.8\\times10^{-15}$$1.6\\times10^{-23}$
Ga rich$9\\times10^{-17}-5\\times10^{-16}$$2\\times10^{-25}-6\\times10^{-25}$
960$P_{As_{4}}=1\\mathrm{atm}$$7.8\\times10^{-15}$$5.3\\times10^{-23}$
Ge rich$2\\times10^{-16}-6\\times10^{-16}$$4\\times10^{-25}-8\\times10^{-25}$
"} {"image_path": "images/03876c0431f77fc1ae977c5a135065d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Lithium ferriteYIG
4πM (G)36401770
$v_{l}\\times 10^{-5}(\\mathrm{~cm} /\\mathrm{sec})$$7.98^{a}$7.21([100],715([110]))
$c_{11} \\times 10^{-11}(dyn~\\mathrm{cm}^{-2})$30.2$26.9^{b}$
$v_8 \\times 10^{-5}(\\mathrm{~cm} / \\mathrm{sec})$$3.78^{a}$$3.84^{b}$
$c_{44}\\times 10^{-11}\\left(\\right.$ dyn $cm^{-2}$ )6.77$7.64^{b}$
$D \\times 10^{9}\\left(\\mathrm{Oe} \\mathrm{cm}^{2}\\right)$8.81$5.17^{c}$
$B_{1}\\times 10^{-6}\\left(\\text{ erg cm}^{-3}\\right)$ 68.5$3.48^{d}$
$B_{2}\\times 10^{-6}\\left(\\text{ erg cm}^{-3}\\right)$ $\\llB_{1}$$6.96^{d}$
$\\mathrm{O}_{e}\\left(17.3 \\mathrm{Gc} / \\mathrm{sec}\\right)$5300$12\\ 000^{e}$
$\\Delta \\mathrm{H}_{\\mathrm{k} \\rightarrow 0}(\\mathrm{Oe})$3.52 at $17.3\\ \\mathrm{Gc} / \\mathrm{sec}$0.205 at 5.7 Gc sec $^{f}$
$\\partial \\Delta H_{k} / \\partial k \\times 10^{6}$ (Oe cm)0.92 at $17.3\\ \\mathrm{Gc} / \\mathrm{sec}$$ 1.19 at 5.7 Gc/sec^{f} $
$H_{\\text {anis.}}$ ( $\\left.[111\\rceil\\right.$ ) (Oe)$450(300^{\\circ}\\mathrm{K}),^{\\mathrm{h}}\\ 664(4.2^{\\circ}\\mathrm{K})^{\\mathrm{h}}$$53(300^{\\circ}\\mathrm{K}),^{\\mathrm{g}}\\ 165(4.2^{\\circ}\\mathrm{K})^{\\mathrm{g}}$
geff $1.958(300^{\\circ}\\mathrm{K})^{\\mathrm{h}}$ $2.005(300^{\\circ}\\mathrm{K})^{\\mathrm{g}}$
$1.962(4.2^{\\circ}\\mathrm{K})^{\\mathrm{h}}$ $2.001(1.5^{\\circ}\\mathrm{K})^{\\mathrm{g}}$
"} {"image_path": "images/bc700185611f331c4ca94a7dd8fb0a98.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Annual Failure ProbabilityTotal Risk CostsRisk Modified B/C RatioRisk-Benefit Factor
Years 1-5$P_{F1}$Years 6·50$P_{F2}$$\\begin{aligned} & \\left(L_0\\right) \\\\ & \\bar{C}_{F 0}\\end{aligned}$$\\begin{aligned} & \\left(L_1\\right) \\\\ & \\bar{C}_{F 1}\\end{aligned}$$\\begin{aligned} & \\left(L_2\\right) \\\\ & \\bar{C}_{F 2}\\end{aligned}$$\\begin{gathered}\\left(L_{\\mathrm{o}}\\right) \\\\ (B / C)_{F \\mathrm{O}}\\end{gathered}$$\\begin{gathered}\\left(L_1\\right) \\\\ (B / C)_{F 1}\\end{gathered}$$\\begin{gathered}\\left(L_2\\right) \\\\ (B / C)_{F 2}\\end{gathered}$$\\begin{gathered}\\left(L_0\\right) \\\\ \\alpha_0\\end{gathered}$$\\begin{gathered}\\left(L_1\\right) \\\\ \\alpha_1\\end{gathered}$$\\begin{gathered}\\left(L_2\\right) \\\\ \\alpha_2\\end{gathered}$
$10^{-2}$$10^{-3}$318114944741.15<0<00.41>1>1
$10^{-3}$$10^{-3}$14948518301.570.73<00.190.63>1
$10^{-3}$$10^{-4}$321154481.871.660.830.040.150.57
$10^{-3}$$10^{-5}$20783091.901.751.170.030.100.40
$10^{-4}$$10^{-4}$15491831.911.831.490.020.060.24
$10^{-4}$$10^{-5}$311451.941.921.840.010.020.06
"} {"image_path": "images/cce36981513d5f4c0b0d2ead80bd29aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Statistical parameters
Training set
$R^{2}$0.9983
AAPRE0.6766
APRE-0.1140
RMSE0.0104
Number of data points1482
Validation set
$R^{2}$0.9991
AAPRE0.6233
APRE-0.1976
RMSE0.0077
Number of data points318
Test set
$R^{2}$0.9986
AAPRE0.7602
APRE-0.1896
RMSE0.0103
Number of data points318
Total
$R^{2}$0.9984
AAPRE0.6812
APRE-0.1379
RMSE0.0100
Number of data points2118
"} {"image_path": "images/762849fa5b9a278fe56b77c5eaf9e058.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SpecimenStiffnessStrength
$K_{ini} \\ (kNm/rad)$$K_{ini}/({EI}_{b}/{L}_{b})$Classification$M_{max} \\ (kNm)$$M_{max}/M_{b,pl}$Classification
D8L290W829583.72Semi-rigid12.90.17Nominal-pinned
D8L240W1637154.67Semi-rigid17.70.24Nominal-pinned
D12L290W868288.59$Semi-rigid^{a}$27.50.37Partial-strength
D8L24017882.25Semi-rigid9.50.13Nominal-pinned
"} {"image_path": "images/f14900fe6a25a694bd66322d8d3442d8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地区华族总人口福建省广东省广西省其他
闽南福州福清广府潮州客家海南
新加坡421,821181,2876,5488,84295,11482,51619,71620,0409495,80
槟榔屿176,51879,5461,88770440,04128,92017,7045,3594121,94
马六甲65,17926,2925232506,8203,68714,94910,2801482,270
吡叻325,52753,47113,6501,869121,40119,06087,8857,14516,9634,08
雪兰莪241,35164,3113,09465763,19110,46480,16710,0975,6583,712
森美兰92,37115,55492050626,7501,76230,1158,4685,8942,40
彭亨52,29110,09329815714,8391,75413,7394,3976,506508
柔佛215,07673,2703,5401,85629,58535,93533,58823,5397,5196,24
吉打78,41521,9841,28433513,07923,04513,7182,7611,0751,13
丁加奴13,2543,24257382,9984721,2644,449385349
玻璃市6,5001,90058-1,6887031,8372048921
吉兰丹17,6128,94954891,9754523,0529175411,58
总计1,709,392588,0101,043,93546,12931,31
"} {"image_path": "images/ed26c1bf19db1d38283365c4213758cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Aqueous layer Chloroform layer
Aqueous Chloroform Aqueous Chloroform
Calc.Obs. Calc.Obs.Calc.Obs.Calc.Obs.
1267127546048046046025452545
11981200707537838221772163
11871174112631533918621824
27023815921586
23122413611362
"} {"image_path": "images/c322f375dd76e3608eea18cf38dccc6c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1D12D12D2SIDCNIMV(2004)
Period11.02 ± 0.6611.07 ± 1.0810.97 ± 0.9211.01 ± 1.1211.02 ± 1.49
Amplitude115.7 ± 33.6103.3 ± 40.596.3 ± 25.7108.2 ± 38.187.6 ± 43.9
Rise rate18.62 ± 6.1425.39 ± 11.9519.91 ± 5.9525.81 ± 12.7419.48 ± 13.38
Rise time6.11 ± .334.06 ± .774.73 ± .364.32 ± 1.074.82 ± 1.32
Shape1.27 ± 0.20.59 ± 0.150.77 ± 0.080.69 ± 0.310.83 ± 0.34
Rise rate-amplitude5.4x + 14.2 ± 3.00.993.3x + 18.8 ± 7.60.984.2x + 12.4 ± 5.60.982.9x + 33.2 ± 8.90.973.1x + 27.8 ± 15.70.93
Period-amplitude(a)-31.7x + 463.9 ± 26.2-0.63-17.5x + 298.0 ± 34.0-0.54-17.25x + 2856 ± 20.3-0.62-23.6x +368.5 ± 28.0-0.68-8.4x + 179.9 ± 42.0-0.29
Period-amplitude(b)-17.9x + 312.3 ± 31.4-0.35-8.9x + 202.9 ± 38.9-0.28-6.3x + 165.4 ± 25.0-0.22-11.2x + 231.7 ± 35.9-0.33-6.9x + 163.4 ± 42.7-0.23
Rise time-amplitude-82.1x + 617.4 ± 18.3-0.84-25.6x + 207.5 ± 35.3-0.49-33.0x + 252.8 ± 22.7-0.47-26.7x + 234 ± 24.0-0.75-16.1x + 165.4 ± 38.5-0.48
Rise rate-decay rate1.0x + 4.0 ± 3.10.90.43x + 3.3 ± 2.20.920.68x + 1.6 ± 1.60.930.34x + 6.4 ± 2.60.850.42x + 5.3 ± 4.10.81
"} {"image_path": "images/e833886bbc52f3cc50b92e6020bdff26.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableNumberof firmsMeanStandarddeviationPercentile
Min.255075Max.
Market capitalization (millions)
Utility62349040491047321923484620,339
Matched utility62352840821027351874486020,508
Banks62320358584348120458104,403
Matched banks62320488609348119453102,373
Insurance166554617,32322747894349150,965
Matched insurance166570119,52422757834687180,901
Book-to-market equity ratio
Utility621.001.010.390.600.760.916.08
Matched utility620.950.840.400.600.750.925.43
Banks6230.730.300.060.520.660.884.17
Matched banks6230.720.300.050.520.670.883.98
Insurance1661.171.050.060.660.921.298.24
Matched insurance1661.161.010.050.660.911.248.05
"} {"image_path": "images/cb53337c80d88337ba92679534ffcf93.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Mass of Half BodyM${_B}$95.7 kg
Mass of WheelsetM${_W}$7.4 kg
Inertia Moment of Half BodyI${_B}$$3.1 \\mathrm{~kgm}^{2}$
Inertia Moment of WheelsetI${_W}$$ 0.17 ~kgm^2 $
Dimensions(see Fig. 1, 2)b${_1}$11.0 cm
$b_2$19.3 cm
h${_1}$23.3 cm
h${_2}$6.4 cm
r8.3 cm
y${_G}$0.0 cm
l${_1}$25.5 cm
l${_2}$25.5 cm
"} {"image_path": "images/6106a690e4b8fe4a3abda43f2a0c6e76.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Norm splitting0.00150.01500.15000.6000
$r_c^s$(C)6.5745.1203.5192.272
$r_c^p$(C)8.5486.3323.8412.005
$r_c^s$(H)8.6906.6004.1552.223
$r_c^s$(Cl)5.7074.5573.2522.292
$r_c^p$(Cl)7.3285.5663.6392.235
"} {"image_path": "images/992271c68de262480abf0bfe0a9b958f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
catalystGC peak area $ratio { }^{b}\\left(\\times 10^{3}\\right)$$\\mathrm{others}^{\\mathrm{c}}$( 5 peaks )$
$\\mathrm{Ph}_{2} \\mathrm{~S}$ tododecanebenzene tododecane
Untreated Sample
$120.5 \\pm 2.4$0.00.0
Treated Sample
none$116.2 \\pm 0.4$$0.8 \\pm 0.06$3.1
Co-Mo-A10.0$63.2 \\pm 0.6$4.3
Fe$103.8 \\pm 3.1$$ 7.5\\pm 0.2 $5.5
SRC residue$120.9 \\pm 1.0$0.00.5
SRC residueash$102.5 \\pm 0.9$$6.5 \\pm 0.2$5.0
pyrite$98.1 \\pm 1.1$$2.6 \\pm 0.07$2.0
reducedpyrite$118.1 \\pm 0.3$$0.41 \\pm 0.01$2.0
"} {"image_path": "images/e4601bd4e184e5adafabf404b4b8f7df.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 1. Decrease in semi-major axis(km) after 250 revolutions with percentage error
Orbit Parametersμ=0.2
i(deg)$\\mathrm{H}_{\\mathrm{p}}$e a(km)Method
NUMKSANAL4% errorANAL4% error
51750.17279.7893.945990.60003.5689.18755.07
0.28183.5095.229594.19121.0991.29254.13
2400.17352.0016.520116.00573.1115.78284.46
0.28271.0016.951016.87120.4716.09455.05
3000.17420.104.71234.55543.334.46205.31
0.28347.624.84214.83830.084.53706.30
4000.17531.220.80770.78093.320.75386.68
0.28472.620.82920.83791.040.76297.80
801750.17275.50105.3555101.21903.9399.60595.46
0.28184.94106.6745105.05271.52102.15694.24
2400.17347.7318.581617.96773.3017.72484.61
0.28266.1919.092118.91960.9018.11905.10
3000.17414.395.35235.16443.515.06365.40
0.28341.195.51145.47700.625.16226.34
4000.17525.500.93610.90253.590.87296.76
0.28466.190.96400.96590.190.88628.07
"} {"image_path": "images/2a60849f7d23600c778351feef13ef42.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$k_0a$WithoutPlasmaSimulated Plasma(polyfoam model)Simulated Plasma(air model)
$\\infty$0.82 + j0.42(theory)0.16 - j0.10(theory)0.19 - j0.15
Waveguide slot
8.580.93 + j0.470.19 - j0.090.18 - j0.16
5.720.90 + j0.430.19 - j0.050.18 - j0.14
4.290.85 + j0.400.19 - j0.13-
Cavity backed slot
4.290.78 + j0.33--
2.860.67 + j0.280.20 - j0.10-
1.970.68 + j0.370.16 - j0.15-
"} {"image_path": "images/b9c4a372c1bfeca62592a193829a427b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份国家/地区2008 ~ 2013200820092010201120122013
摩洛哥3. 935. 594. 763. 644. 992. 713. 62
苏 丹2. 188. 406. 55-1. 11-3. 91
突尼斯2. 114. 463. 123. 25-1. 874. 203. 28
北部非洲1. 365. 753. 404. 39-6. 275. 023. 10
非洲大陆3. 505. 532. 574. 880. 855. 354. 15
"} {"image_path": "images/36f6c89231eb35a3ce96e35741fa33b4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
InjectorStructureExperiment RANS:structuredgrid DES:unstructuredgrid
Diamond$LE\\ separation^{\\ a}$0.00800.00530.0128
$TE\\ merging^{\\ b}$0.01810.01920.0203
$HS\\ separation^{\\ c}$0.03400.04050.0407
Circular$LE\\ separation^{\\ a}$0.01080.01220.0162
$TE\\ merging^{\\ b}$0.01500.01810.0189
$HS\\ separation^{\\ c}$0.03870.03040.0322
"} {"image_path": "images/a1ac209bb4c4d93b73a8b6064847236b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IntakeN=$42^{\\text{a}}$DischargeN=$42^{\\text{a}}$tSig.Effect sized
MSDMSD
CBCL
Internalizing54.9512.5750.0012.523.54$^{* *}$0.0010.39
Externalizing61.6211.4455.1011.744.92$^{* *}$0.0010.52
Total problems60.0511.7653.2613.094.72$^{* *}$0.0010.52
BERS
Interpersonal strength7.523.629.403.284.55$^{* *}$0.0010.54
Family involvement7.833.539.052.873.30$^*$0.0020.38
Intrapersonal strength9.263.7010.213.302.380.0220.27
School functioning7.743.479.073.103.40$^*$0.0020.40
Affective strength9.553.5210.212.732.030.0490.21
Strength index88.7421.7197.0517.934.02$^{* *}$0.0010.42
"} {"image_path": "images/50fa17e1c20acab1164290221e57803b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample$\\langle M_w\\rangle$[g/mol]c* [g/l]$c^{\\sim}$[g/l]
Temperature [℃]
- 51- 42- 31.5- 21- 11- 2+ 8
PAN-R120 000130150160190210220250-
PAN-Redox192 0001301501701902102602700.136
PAN-Redox286 000110130150160190210240-
PAN-Redox360 0001001201401501802002300.13
PAN-Redox462 000901101301401601902200.08
"} {"image_path": "images/6408aaac4f3210b98a7790d2ea4492e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reaction$E_{lab}$ (GeV)$\\sigma(^7\\text{Li})/\\sigma(^6\\text{Li})$Ref.
p + $^{58}Ni$0.660.41±0.03[10]
p + $^{64}Ni$0.660.63±0.05[10]
p + $^{58}Ni$1.00.80±0.15[11]
p + $^{64}Ni$1.01.4±0.4[11]
p + Ni3.01.0±0.2[12]
p + Ag0.481.10±0.15[16]
p + Ag1.01.2±0.3[11]
p + Ag5.51.25±0.10[9]
p + $^{112}Sn$0.660.75±0.03[10]
p + $^{124}Sn$0.661.47±0.05[10]
p + $^{112}Sn$1.01.1±0.2[11]
p + $^{124}Sn$1.01.7±0.3[11]
p + $^{112}Sn$6.71.01±0.02[14]
p + $^{124}Sn$6.71.54±0.02[14]
p + Au1.01.9±0.4[14]
P + U1.02.3±0.5[11]
p + U5.52.25±0.15[8]
d + $^{112}Sn$3.11.24±0.04[14]
d + $^{124}Sn$3.11.84±0.03[14]
α + $^{112}Sn$15.31.16±0.03[15]
α + $^{124}Sn$15.31.57±0.04[15]
α + U8.42.3±0.2[13]
"} {"image_path": "images/3a9a850784ab161df4d28760d97330de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\alpha_{\\mathrm{m}}=45^{\\circ}$
$P_{1}$$C_{j}=0.5$$C_{j}=0.6$$C_{j}=0.7$$C_{j}=0.8$$C_{j}=0.9$$C_{j}=1.0$
0.54.4814.2283.9743.7213.4683.214
0.6253.4573.2673.0772.8862.6962.506
0.752.4332.312.1792.0521.9251.796
0.8751.4091.3451.2811.2171.1531.089
1.00.38430.38360.38290.38280.38160.3809
$P_{l}=0.75$
$C_{j}$$\\alpha_{m}=15^{\\circ}$$\\alpha_{m}=30^{\\circ}$$\\alpha_{m}=45^{\\circ}$$\\alpha_{m}=60^{\\circ}$$\\alpha_{m}=90^{\\circ}$
0.52.2022.2912.4332.6183.064
0.62.0282.1352.312.5283.064
0.71.8551.982.1792.4383.063
0.81.6821.8252.0522.3483.062
0.91.5091.671.9252.2583.062
1.01.3351.5141.7982.1683.061
$C_{j}=0.8$
$\\alpha_{\\mathrm{m}}$$P_{l}=0.5$$P_{l}=0.625$ $P_{l}=0.75$ $P_{l}=0.875$$P_{l}=1.0$
15°2.9812.3311.6821.0270.3823
30°3.2672.5461.8261.1030.3823
45°3.7212.8862.0521.2170.3823
60°4.3133.332.3451.3650.3823
90°5.7434.4033.0621.7220.3823
"} {"image_path": "images/c7acc8ae6fcc938ac7c80231887d144b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Molarratio$\\begin{array}{c}(\\gamma=\\\\\\mathrm{SiO}_{2}/\\mathrm{Na}_{2}\\mathrm{O}\\end{array}$Time,months$QM_4$$n-C_{14}$$\\mathrm{Q}_2\\mathrm{M}_6$$\\mathrm{Q}_4\\mathrm{M}_8$$\\mathrm{Q}_3\\mathrm{M}_8$$\\mathrm{Q}_8\\mathrm{M}_8$$\\mathrm{Q}_4\\mathrm{M}_{10}$Total amountof monosi-licic acid andoligomers Totalamountof highpoly-silicates
$\\gamma$ = 1.80$A_{s}^{*}$155.9100.051.813.6132.725.497.4
mmol3.250.720.141.380.250.816.561.94
2$A_s$175.0100.040.55.392.911.173.3
mmol3.650.560.060.970.120.615.972.53
4$A_s$191100.024.86.124.519.516.1
mmol3.980.340.060.260.200.134.973.53
$\\gamma$ = 2.40$A_s$137.2100.029.012.072.437.063.6
mmol2.860.400.130.750.390.535.063.44
2$A_s$191.0100.025.84.520.64.23.0
mmol3.980.360.050.210.040.034.673.83
4$A_s$200.0100.013.41.913.25.99.5
mmol4.170.190.020.140.060.084.633.84
$\\gamma$ = 3.60$A_s$122.6100.020.01.938.15.840.0
mmol2.550.280.020.400.060.333.644.86
2$A_s$151.2100.013.30.314.71.36.8
mmol3.150.180.000.250.010.083.654.85
4$A_s$160.7100.09.02.37.82.64.3
mmol3.350.130.020.080.030.043.654.85
Olivine403.7
Mol correction factor of $F_{1}$121824242430
"} {"image_path": "images/c4c6599287869ded2d71a95554126557.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Practice$\\mathrm{Type~^a}$Weight %Farmers (n = 265)
No. of Respondents% of Total
Incorporation of crop varieties resistant to droughtsCr85.720.7
Use of drip and sprinklerI83.33111.7
Incorporation of crops resistant to high temperaturesCr80.920.7
Changes in planting and harvesting datesCr78.611041.5
AfforestationWSC76.251.9
Zero tillageWSC69.031.1
Use of water accumulation systemsI66.73814.3
Use of green manureWSC66.03312.4
Use of mulchingWSC61.9249.0
Use of cover cropsWSC61.9166.0
Other WSC practicesWSC61.9166.0
Use of hoses and pumps for irrigationI59.55219.6
Implementation of infiltration trenchesWSC57.1197.1
Cleaning of canalsWSC54.86022.6
"} {"image_path": "images/df82b784f99e27d3f096c0ca856fc711.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\eta=0\\cdot8$
N510204080160320640
I1248163264128
True mean2·073·475·327·369·3011·0212·6214·16
Predicted mean3·625·166·678·189.6811·1812·6914·20
Percentage error74·948·425·511·14·11·50·60·3
$\\eta=0\\cdot5$
N510204080160320640
I1248163264128
True mean3·846·479·5012·0514·0115·8117·5919·37
Predicted mean7·449·1110·7712·4814·1915·9317·6919·45
Percentage error93·740·813·03·61·30·80·50·4
"} {"image_path": "images/3e48f4dca0d61db60b69a21bc53cf378.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AB_DISX_TSAB_CFO_TSAB_PROD_TS
Intercept0.0002**0.0003**0.0000
(2.57)(2.27)(-0.11)
MTB0.0002**-0.00010.0000
(2.14)(-1.35)(-0.41)
SIZE-0.0005-0.0041***-0.0064***
(-0.73)(-4.42)(-7.19)
NET INCOME-0.0452**0.0646***0.0009
(-2.17)(5.19)(0.10)
SUSPECT_ NI-0.0146**-0.026-0.0248
(-1.99)(-1.40)(-0.80)
Expected signNegativeNegativePositive
No. of observations34,96034,96034,960
Adjusted $R^2$0.0260.0240.003
"} {"image_path": "images/150a616e7ede44a96cbc09adf81adb60.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Power$p_{1}=0·95,p_{2}=0.9$$p_{1}=0·6,p_{2}=0.3$$p_{1}=0·8,p_{2}=0.3$
0·90·50·90·50·90·5
Exact value5031845322189
Cochran & Cox (1957)4631474615165
Fleiss et al. (1980)51419152222010
Casagrande et al. (1978b)5131885221199
Walters (1979)5031855321209
Equation (4)5031855321209
"} {"image_path": "images/7271a894f15a20fc9cbf9f1af4e13e8c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MetalionAvailable load ratio with initial load ratio of 10 mg/kg
SoilASoil A + 2%LimeSoil A + 4%LimeSoil A + 6%LimeSoilBSoilB + 2% LimeSoil B + 4%LimeSoil B + 6%Lime
As9.889.248.648.089.378.818.287.78
Cr9.679.048.457.909.228.678.157.66
Hg9.669.038.457.909.308.748.227.72
Pb9.308.708.137.609.208.658.137.64
MetalionAvailable Load Ratio with initial load ratio of 250 mg/kg
Soil ASoil A + 2%LimeSoil A + 4%LimeSoil A + 6%LimeSoil BSoil B + 2%LimeSoil B + 4%LimeSoil B + 6%Lime
As244.54228.64213.78199.89241.57227.08213.45200.64
Cr239.24223.69209.15195.55230.25216.44203.45191.24
Hg241.54225.84211.16197.43238.15223.86210.43197.80
Pb240.68225.04210.41196.73235.55221.42208.13195.64
"} {"image_path": "images/fa9a9d0fd4fc17ed254dd45581ed40f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
处理药前病指防治效果增产效果
药后7d药后14d药后28d 平均千粒重(g)比对照增加(%)$~~~~~~平均$$~~~~~~产量$$\\left(\\mathrm{kg} / 667\\mathrm{~m}^{2}\\right)$比对照增加(%)
平均病指防效(%)平均病指防效(%)平均病指防效(%)
I0.902.2544.52a1.2375.49a6.8469.70 a42.553.08455.2736.47 a
II0.912.6435.62c1.8064.53c11.9747.56 c42.472.88424.6727.30 b
III0.842.2341.54b1.3970.33b10.0652.25 b42.262.37449.8934.86 a
IV0.853.83-4.74-21.32-41.28-333.60-
"} {"image_path": "images/5bf9a986d371b40a1b8ccef22c290b31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MeasureMSDObserved score range
MinimumMaximum
GramSpan90.0011.9667.00109.00
UngramSpan60.0515.5032.0084.00
LRN29.9513.955.0058.00
HighPred0.740.110.560.92
ZeroPred0.550.080.400.64
PredDiff0.190.12-0.080.40
"} {"image_path": "images/e9e4a32f3e3ecfcc6865695bed5e5ba0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ReactionRefs
(R1)$ \\mathrm{O}_{2}+\\mathrm{h} \\nu \\rightarrow \\mathrm{O}+\\mathrm{O} $1
(R2)the $\\mathrm{O}_{3}+\\mathrm{h} \\nu \\rightarrow \\mathrm{O}\\left({ }^{1} \\mathrm{D}\\right)+\\mathrm{O}_{2}$1
(R3)$ \\mathrm{O}_{3}+\\mathrm{h}\\nu\\rightarrow\\mathrm{O}+\\mathrm{O}_{2} $ 1
(R4) $N_{2} O+h \\nu \\rightarrow O\\left({ }^{1} D\\right)+N_{2}$ 1
(R5)$NO~+~hv~→~N+O$1
(R6)$ \\mathrm{NO}_{2}+\\mathrm{h} \\nu+\\mathrm{NO}+\\mathrm{O} $1
(R7)$ \\mathrm{N}_{2} \\mathrm{O}_{5}+\\mathrm{h} \\nu \\rightarrow \\mathrm{NO}_{2}+\\mathrm{NO}_{3} $1
(R8)$ HNO_{3}+h\\nu\\rightarrow NO_{2}+OH $1
(R9)$\\mathrm{NO}_{3}+\\mathrm{h} \\nu \\rightarrow 0.89 \\mathrm{NO}_{2}+0.11 \\mathrm{NO}+0.89 \\mathrm{O}_{3}$2
(R10)$HO_2NO_2+hv~→~NO_2+HO_2$1
(R11) $\\mathrm{CH}_{3}\\mathrm{OOH}+\\mathrm{h}\\nu\\rightarrow\\mathrm{CH}_{2}\\mathrm{O}+\\mathrm{HO}_{2}+\\mathrm{OH}$ 1
(R12) $\\mathrm{CH}_{2} \\mathrm{O}+\\mathrm{h} \\nu \\rightarrow \\mathrm{CO}+2 \\mathrm{HO}_{2}$ 1
(R13)$ CH_2O+h\\nu\\rightarrow CO+H_2 $1
(R14)$H_2O+hv→OH+HO_2$1
(R15)$\\mathrm{H_2O_2+h\\nu\\to OH+OH}$1
(R16)$ \\mathrm{CH}_{3} \\mathrm{CHO}+\\mathrm{h} \\nu \\rightarrow \\mathrm{CH}_{3} \\mathrm{O}_{2}+\\mathrm{CO}+\\mathrm{HO}_{2} $2
(R17)$ \\mathrm{C}_{3} \\mathrm{H}_{6} \\mathrm{OOOH}+\\mathrm{h} \\nu \\rightarrow \\mathrm{CH}_{3} \\mathrm{CHO}+\\mathrm{CH}_{2} \\mathrm{O}+\\mathrm{HO}_{2}+\\mathrm{OH} $3
(R18)$ \\mathrm{CH}_{3} \\mathrm{COOH}+\\mathrm{h} \\nu \\rightarrow \\mathrm{CH}_{3} \\mathrm{O}_{2}+\\mathrm{OH} $3
(R19)$ \\mathrm{PAN}+\\mathrm{h} \\nu \\rightarrow \\mathrm{CH}_{3} \\mathrm{CO}_{3}+\\mathrm{NO}_{2} $1
(R20)MPAN $+\\mathrm{h} \\nu \\rightarrow \\mathrm{MCO}_{3}+\\mathrm{NO}_{2}$3
(R21)$ \\mathrm{CH}_{2} \\mathrm{OHCHO}+\\mathrm{h} \\nu \\rightarrow \\mathrm{CH}_{2} \\mathrm{O}+\\mathrm{CO}+2 \\mathrm{HO}_{2} $3
(R22)$\\mathrm{MACR}+\\mathrm{h} \\nu \\rightarrow \\mathrm{MCO}_{3}+\\mathrm{CO}+0.6 \\mathrm{CH}_{3} \\mathrm{COCHO}+0.4 \\mathrm{CH}_{3} \\mathrm{CO}_{3}+0.4 \\mathrm{CH}_{2} \\mathrm{O}+2.6 \\mathrm{HO}_{2}$3
(R23)$ MVK+h\\nu\\rightarrow CH_3 CO_3+HO_2+0.25 CH_2 O+0.25 CO $3
(R24) $\\mathrm{C}_{2}\\mathrm{H}_{5}\\mathrm{OOH}+\\mathrm{h}\\nu\\rightarrow\\mathrm{CH}_{3}\\mathrm{CHO}+\\mathrm{HO}_{2}+\\mathrm{OH}$ 3
(R25)$C_{3} H_{7} O O H+h \\nu \\rightarrow 0.82 \\mathrm{CH}_{3} \\mathrm{COCH}_{3}+O H+H O_{2}$4
(R26)$ CH_3COCH_2OOH+hl\\nu\\rightarrow CH_3COCH_2O+OH $ 4
(R27)$ \\mathrm{CH}_{3} \\mathrm{COCH}_{3}+\\mathrm{h} \\nu \\rightarrow \\mathrm{CH}_{3} \\mathrm{CO}_{3}+\\mathrm{CH}_{3} \\mathrm{O}_{2} $5
(R28)$ CH_3 COCHO+ h\\nu\\rightarrow CH_3 CO_3+ CO+ HO_2 $2
"} {"image_path": "images/0519e9229f234fe8293b43e0a9ce3c05.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Penetrationtime (s)WaterrepellencyEquivalent θ* (degrees)
SandLoamSiltloam
<5Hydrophilic00-200-20
6-60Slight0-80$^a$20-10020-60
60-600Moderate80-110100-12060-120
600-3600Severe
>3600Extreme>110>120>130
"} {"image_path": "images/38980f61a3263b1896c64634850a59f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Time ofprecipita-tion, min.Time ofdigestion,min,Number ofclassesobservedDegreesoffreedomProbability ifavor of thehypothesis(in %)
1..13615.9
$1^{1 / 2}$..23130
2..231377.7
$2^{1 / 2}$..331272.6
3..291370.2
4..401795.2
6..632299.9
8..702296.7
101532599.9
106532499.9
1025451476.0
"} {"image_path": "images/6383bd204405dbddaa334ba22414c42f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 4-Summary of SMR in the FBMR with tubular$Pd-Ag/ZrO_2$ membranes prepared atTECNALIA at 1.3 bara several temperatures.
Day of membrane testsDay 1Day 2
System pressure (bar)1.31.31.31.3
System temperature(°C)500550550600
$CH_4$ eq.Conversion (%)55.773.073.088.1
u/$u_{mf}$(-)1.31.31.31.3
Volumetric flow rate in reactor(l/min)20.922.322.324
$CH_4$ conversion (%)55.573.176.489.3
$Exhaust/ H_2/CO$ ratio (-)22.616.115.811
CO selectivity(-)0.120.160.180.25
$H_2$ selectivity (-)3.853.793.833.74
$H_2$ recovery factor (HRF) (-)0.170.220.20.23
$H_2$ separation factor (HSF) (-)0.310.310.280.28
Hydrogen permeate impurity (ppm CO)5070120200
Hydrogen permeate flow (Nml/min)550740700800
"} {"image_path": "images/ac2a0e9deff34df7965a02292dc44530.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\tau$$\\bar{R}_0$
12131415161718
0.9596.597.297.798.298.799.199.4
0.9794.595.295.796.296.697.097.4
0.9992.693.293.894.394.795.195.4
"} {"image_path": "images/d5f36617af7f6317865a03b23c5ec2f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间项目2012 年度2013 年度合 计
第二季度第三季度第四季度第一季度
直接人工预算总工时(小时)12 100(略)(略)11 72048 420
变动制造费用
间接人工费用A(略)(略)B(略)
水电与维修费用C(略)(略)D(略)
小计(略)(略)(略)(略)493 884
固定制造费用
设备租金E(略)(略)(略)(略)
管理人员工资F(略)(略)(略)(略)
小计(略)(略)(略)(略)(略)
制造费用合计171 700(略)(略)(略)687 004
"} {"image_path": "images/84d59815302ee5dba2520a4e79e1bcc8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类 别关 键 字说 明
数据类型char字符型
const表明这个量在程序执行过程中不可变
double双精度实型
enum枚举型
float单精度实型
int整型
long长整型
short短整型
signed有符号类型
struct结构体
union共用体
unsigned无符号类型
void空类型
volatile表明这个量在程序执行中可被隐含地改变
typedef定义同义数据类型
存储类型auto自动变量
extern外部变量
register寄存器变量
static静态变量
流程控制break跳出循环或 switch 语句
caseswitch 语句中的分支选择
continue跳出本次循环
defaultswitch 语句中的其余情况标号
do在do...while循环中的循环起始标记
elseif 语句中的另一种选择
forfor循环语句
goto跳转到标号指定的语句
if语句的执行条件
return函数调用的返回
switch从所有列出的选择分支中作出选择
while在 while 和 do... while 循环中语句的执行条件
运算符sizoof计算字节数
"} {"image_path": "images/145fa6f85f55cb45e0be6cb01a22b233.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$D_{c}$(mm)$D_{i}$(mm)$D_{o}$(mm)$D_{u}$(mm)$R_{f}$(-)$\\frac{C_f}{(\\mathrm{wt}^0/\\mathrm{o})}$
Experiment305,64.860.22,10
Simulation3063.8,4.8,5.860.22
5,6,74.86
3064.86
4086.48
5010810
"} {"image_path": "images/4a93858d0500499f24e84f063558644f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
总部分部办事处、事务所职能定义
总裁、董事长公司的代表
本部长、董事 董事会成员,负责全公司的管理与经营
总辖技师长(总工程师)、总辖计划长、总辖业务长统括部长副统括部长、中心主任、理事分部长副分部长理事所长理事高级管理人员,负责整个部门的管理与经营
部长、副理事 部长、分部次长、副理事 部长、次长、副理事中高级管理人员并参与经营
副部长 副部长、分部长代理 副部长、所长代理 作为上一层级的助手参与管理与经营
主席课长主席课长主席课长 项目负责人,作为公司代表与业主等的沟通
课长课长课长 设计小组的主管,日常业务的总负责
课长代理课长代理课长代理 高级专业职员,设计的中坚力量,有专业执照
主任主任主任有一定经验的中级技术职员
一般职员一般职员一般职员初级技术职员,无专业执照
"} {"image_path": "images/157b7bda0d68dd687128712099704f9e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
C-FAI subscalesC-SPSI-R short form
ASNPORPSICSPPOC-SPSI-R Total
Mutuality-.28**-.18**.11**-.09**.19**.29**
Communication-.26**-.19**.12**-.07**.21**.29**
Conflict and harmony-.31**-.16**.04-.14**.16**.28**
Parental concern-.27**-.12**.07**-.16**.15**.26**
Parental control-.22**-.16**.03-.15**.12**.24**
"} {"image_path": "images/b6919161cdb11c8d896204cc18cf3222.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Outboard TEF Control Function$δ_1$$δ_1$$δ_0$$δ_0$
Objective function$J_2$$J_2+θ_p$$J_2$$J_2+θ_p$
Pitch bearing stiffness (ft-lb/rad)11611161934934
[Torsion frequency] (/rev)[1.38][1.38][1.31][1.31]
Blade pitch index (deg)22.324.325.827.8
Inboard TEF chord0.235c0.235c0.238c0.238c
Outboard TEF chord0.228c0.228c0.205c0.205c
Radial location of inboardTEF center0.775R0.775R0.775R0.775R
Radial location of outboardTEF center0.925R0.925R0.925R0.925R
"} {"image_path": "images/7d2c73968725a6bea863ee877d0290b0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(Km/h) Numeroosservazioni$\\begin{array}{c}{v_c}\\\\{(\\mathbf{Km/h)}}\\end{array}$$\\omega $$\\omega t$$\\Delta$
0362.4$\\infty$$\\infty$-
1253.93.904.45-0.55
3286.62.202.02+0.18
4155.91.471.54-0.07
5108.11.621.37+ 0.25
6198.21.371.26+0.11
7149.31.331.18+0.15
8209.61.201.10+0.10
9810.01.111.03+0.08
101810.21.020.99+0.03
11611.21.020.94+0.08
121811.80.980.90+0.08
13711.50.880.87+0.01
141210.80.770.85-0.08
151211.80.790.83-0.04
16811.10.690.80-0.11
17813.70.810.78+0.03
181213.70.760.760.00
19714.40.760.74+0.02
201314.60.730.72+0.01
21714.60.700.700.00
22716.40.750.69+0.06
24514.70.610.67-0.06
25617.00.680.66+0.02
30716.10.540.61-0.07
"} {"image_path": "images/b737f26e47b87ecdd15c778d48dfd655.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Current injectionVoltage measurement
Number of channels16 independent channelsNumber of channels80 independent channels
Resolution12 bitsADC resolution14 bits
Frequency range1 kHz-120 kHzADC input voltage$\\pm$1.25V,$\\pm$2.5V,
Amplitude range0-5 mArange$\\pm$5.0V,$\\pm$10V
Waveform typeArbitraryPGA gain1,10 or 100
Output impedance17 $\\mathrm{M}{\\Omega}$ at 15 kHzDemodulationDigital
Target resistance$50~\\Omega-20~k\\Omega$Sensitivity0.15 mV at PGA gain =1at input voltage $\\text{土}$1.25V
"} {"image_path": "images/40c9d2ab313359f3be877a68c9edd12a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\text{I. }\\Delta\\text{LNEFP based on ARDL }(1, 0, 0)$$\\text{II. Cointegration vector: LNEFP}$
RegressorsStatisticsp-ValueRegressorsStatisticsp-Value
$\\Delta\\text{lnEPPC}$$-0.167^*$0.054InEPPC$-0.542^{**}$0.031
$\\Delta\\text{lnGDPC}$$0.172^*$0.084InGDPC$0.558^{**}$0.021
Constant0.1850.773Constant0.6020.770
$R^2$ = 0.741F = $35.34^{***}$0.000$\\text{ECT}_{t-1}$$-0.308^{***}$-0.006
"} {"image_path": "images/f3aeb2a44f8456c0eaf1b27600506b89.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
E(R)S
P1325
Q1840
"} {"image_path": "images/8ef5e3d18f7f93e1c2514e4c29fc6638.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 2. Solvolysis of AB.
Eq.SolvolysisReactionGHSC $[\\mathrm{wt}\\%\\mathrm{H}_2]$
5hydrolysis$NH_3BH_3+2H_2O\\rightarrow NH_4^++BO_2^-+3H_2$9.0
6hydrolysis$NH_3BH_3+4H_2O\\rightarrow NH_4^++B(OH)_4^-+3H_2$5.8
7hydrolysis$\\mathrm{NH_{3}BH_{3}+(2+x)H_{2}O\\rightarrow NH_{4}^{+}+B(OH)_{4}^{-}+3H_{2}+(x-4)H_{2}O}$<5.8
8methanolysis$NH_3BH_3+4CH_3OH\\to NH_4^++B(OCH_3)_4^-+3H_2$3.8
9$methanolysis^{[\\mathrm{a}]}$$5NH_{3}BH_{3}+22CH_{3}OH\\to[NH_{4}B(OCH_{3})_{4}]_{5}\\cdot2CH_{3}OH+15H_{2}$3.5
[a] See Ref. [7b].
"} {"image_path": "images/5fe43eaeff233f0a4348268ed94c1f09.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$PH_2Ph/$$Pd(acac)_2$ReactiontimeConcentration of$\\mathrm{Pd}(\\mathrm{acac})_{2}~(\\%)$Concentration ofHacac (%)
$IR^a$$UV^a$$IR^a$$UV^a$$GLC^b$
0.55 min74772520
0.51 h76772123
0.524 h7680222819
15 min43485254
124 h4249555256
25 min--9496
224 h--9495102
"} {"image_path": "images/43755e5f0aff13e82469fd47c6dc2969.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModeNumber of elements
mn35789
Ω002·3302·1022·0832·0642·051
$\\eta$0·4131·8672·2012·2702·283
Ω101·9061·8511.8471·8441·843
$\\eta$0·4840·5640·6010·6050·606
"} {"image_path": "images/e4a5ab1807d9b43b861553d4073f26a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NuclideFreq. Ratio $ν_{ref}/ν$$T_{1/2}$No. ionsME PT (keV)ME AME 95 (keV)Dev (keV)
$^{114}Xe$0.8572101482(34)(93)10 s1-67086 (12)-66933 # (207#)-153
$^{115}Xe$0.8647216374 (32) (95)18 s1-68657 (12)-68426 # (239#)-231
$^{116}Xe$0.8722103533 (42)(109)59 s1-73047 (13)-72901 # (246#)-146
$^{117}Xe$0.8797253356 (19) (91)61 s9-74185 (11)-73994 (180)-191
$^{118}Xe$0.8872180141 (24) (93)3.8 m8-78084 (12)-77710 (1000)-374
$^{119}Xe$0.8947364709(33) (91)5.8 m5-78792 (11)-78660 (123)-133
$^{120}Xe$0.9022333721 (40) (102)40 m1-82169 (13)-81832 (44)-338
$^{121}Xe$0.9097551270(33)(100)40.1 m4-82469 (12)-82539 (24)70
$^{122}Xe$0.9172560020 (29) (99)20.1 h10-85354 (12)-85185 (87)-169
$^{123}Xe$0.9247811247(40)(100)2.08 h4-85237 (12)-85260 (15)23
$^{124}Xe$0.9322857418 (22) (97)stable9-87658 (12)-87658 (2)0
$^{130}Xe$0.9774128763 (27) (101)stable8-89878 (13)-89881 (1)3
"} {"image_path": "images/ef53a9311020894df008a2708f2b1004.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompoundAM1B3LYP
TSProductFrequency TSProductFrequency
M1 neutral $+\\mathrm{H}_{2} \\mathrm{O}$---3044-629
M1 neutral220209-24721916-164
M1 N-protonated58-7-4697464-186
M1 O-protonated802-4656433-117
M2 neutral172151-1961864-81
M2 N-protonated32-30-3877960-85
M2 O-protonated 42-77-419---
"} {"image_path": "images/2c4748b7c946298ee8ab976fd9ef6433.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
國別代碼中文國別(地區)名稱英文國別(地區)名稱洲别名稱
307丹麥Denmark歐洲
309芬蘭Finland歐洲
310法國France歐洲
311希臘Greece歐洲
312教廷Holy See歐洲
313匈牙利Hungary歐洲
314冰島Iceland歐洲
315愛爾蘭Ireland歐洲
316義大利Italy歐洲
317列支敦斯登Liechtenstein歐洲
318盧森堡Luxembourg歐洲
319馬爾他Malta歐洲
320摩納哥Monaco歐洲
321荷蘭Netherlands歐洲
322挪威Norway歐洲
323波蘭Poland歐洲
324葡萄牙Portugal歐洲
325羅馬尼亞Romania歐洲
326聖馬利諾San Marino歐洲
327西班牙Spain歐洲
328瑞典Sweden歐洲
329瑞士Switzerland歐洲
330英國United Kingdom歐洲
332德國Germany歐洲
334克羅埃西亞Croatia歐洲
344愛沙尼亞Estonia歐洲
348拉脫維亞Latvia歐洲
"} {"image_path": "images/271b8289a9889f74083bbcad55e1fa6d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MODEL PARAMETERSWR 104WR 98aWR 112
1999 Sep2000 $Feb^a$
$F_{\\nu,4.8\\:\\mathrm{GHz}}^T(\\mathbf{mJy})$……0.072 [0-0.36]0.078 [0-0.24]1.14 [0.97-1.32]1.18
${\\alpha^{T}}$ $\\dots \\dots \\dots \\dots \\dots \\dots \\dots $0.65 [fixed]0.65 [fixed]0.65 [fixed]0.65 [fixed]
$F_{v,4.8\\:\\mathrm{GHz}}^{\\mathbf{NT}}\\left(\\mathrm{mJy}\\right)$……2.42 [0.78-3.70]1.14 [0.33-1.96]3.47 [3.01-3.94]3.16
${\\alpha^{NT}}$ $\\dots \\dots \\dots \\dots \\dots \\dots \\ldotp \\ldotp $-0.70 [fixed] -0.70 [fixed]-0.70 [fixed]-0.70 [fixed]
$\\tau_{4.8 \\, \\mathrm{GHz}}$……………2.47 [0.18-3.85]1.40 [0.38-2.43]0.10 [0.088-0.11]0.11
Reduced $x^2$ $\\dots \\dots \\dots \\ldotp $0.0240.0400.631.75
"} {"image_path": "images/3f21a584431a9939f5930d40e79fe4d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国家和地 区Country orArea货币名称货币符号辅币进位制
中文英文原 有旧符号国际标准编码中文英文
中国China人民币元Renminbi YuanRMB¥CNY元 = 10 角 =100分Chinese Yuan=10Jiao=100Fen
中国香港HongKong,China港元HongKong DollarsHK $HKD港元=100 仙Hong Kong Dollar= 100 Cents
中国澳门Macao,China澳门元Macao patacaPAT. ; P.MOP澳 门 元 = 100仙Macao Pataca =100 Cents
中国台湾Taiwan,China新台币New Taiwan DollarNT$、NTDTWD新 台 币 = 100分New Taiwan Dollar=100 Cents
阿富汗Afghanistan阿富汗尼AfghaniAfAFA阿富汗尼 = 100普尔Afghani=100Puls
亚美尼亚Armenia亚美尼亚德拉姆Armenian DramDRAMAMD德 拉 姆 = 100鲁马 Dram=100Luma
阿塞拜疆Azerbaijan阿塞拜疆马纳特Azerbaijani ManatAZMAZM马 纳 特 = 100开比克Azerbaijan Manat=100Gepik
巴林Bahrain巴林第纳尔Bahrain DinarBDBHD巴林第纳尔 =100费尔斯Bahrain Dinar =100Fils
孟加拉国Bangladesh孟加拉塔卡Bangladeshi TakaTKBDT塔 卡 = 100 波依夏Taka=100Poisha
不丹Bhutan不丹努尔特鲁姆Bhutanese Ngul-trumNuBTN努 扎 姆 = 100吉扎姆Ngultrum = 100Chhetrum
文莱 BruneiDarussalam文莱林吉特Brunei RinggitBR $BND文莱林吉特 =100 分Brunei Ringgit =100Cents
柬埔寨KingdomofCambodia瑞尔Camboddian RielCR; JRI.KHR瑞尔 = 10 角 =100 仙Riel = 10Kak =100Sen
塞浦路斯Cyprus塞浦路斯镑Cyprus Pund£C.CYP塞浦路斯镑Cyprus Pound
"} {"image_path": "images/dab3768696901dc8667dad1c9792e751.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ \\begin{gathered} \\text { boronic/borinic esters } \\\\ \\mathrm{R}^{*} \\mathrm{BO}_{2}\\left(\\mathrm{CH}_{3}\\right)_{2} / \\mathrm{R}_{2}{ }^{*} \\mathrm{BOCH}_{3}, \\mathrm{R}^{*}=\\end{gathered} $acetylenes $\\mathrm{R}^{\\star} \\mathrm{C} \\equiv \\mathrm{CSiMe}_{3} / \\mathrm{R}^{\\star} \\mathrm{C} \\equiv \\mathrm{CH}$ config ofacetylenes$\\alpha^{23}{ }_{\\mathrm{D}}$, deg ${ }^{d}$% eeyield, $\\%$$\\text{(isolated)}^f$
$ (R)-2-butyl^a $1-(trimethylsilyl)-3-methyl-1-pentyne (13)R-26.2≥9970
(S)-3-methyl-2-butyl $^a$1-(trimethylsilyl)-3,4-dimethyl-1-pentyne (14)S+16.7≥9964
(R)-3-lexyl $^{a}$1-(trimethylsilyl)-3-ethyl-1-hexyne (15)R-4.3≥9973
(1S,2S)-trans-2-methylcyclopentyl $^{a}$trans-(2-methylcyclopentyl)ethyne (18)1S,2S$+111.7^{e}$≥9962
$(1 S, 2 S)$-trans-2-phenylcyclopentyl ${ }^{a}$trans-(2-phenylcyclopentyl)ethyne (19)1S,2S-170.2≥9959
(2S,3R)-isopinocampheyl$^b$trans-isopinocampheylethyne (20)$1 R, 2 R, 3 R, 5 S$-43.2≥9975$^g$
$(2 R, 3 S)$-isopinocampheyl$^c$trans-isopinocampheylethyne$1 S, 2 S, 3 S, 5 R$+43.1≥9974$^g$
"} {"image_path": "images/03e078846165250dd40642c783135239.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Leg1234
110.5 (+ .3)
227.0 (+ .4)13.5 (+ .4)7.5 (+ .7)
37.5 (+ .5)31.5 (+ .4)
419.5 (+ .8)15.0 (+ .5)22.5 (+ .7)9.0 (+ .7)
59.0 (+ .6)16.5 (+ .6)-1.5 (+ .4)
624.0 (+ .6)10.5 (+ .6)12.0 (+ .7)
7 16.5 (+ .7)3.0 (+ .7)10.5 (+ .6)18.0 (+ .7)
815.0 (+ .4)10.5 (+ .4) 6.0 (+ .5)-1.5 (+ .5)
96.0 (+ .6)36.0 (+ .5)36.0 (+ .4)12.0 (+ .6)
100.0 (+ .6)0.0 (+ .6)-3.0 (+ .6)
"} {"image_path": "images/c129d9b393b704c677003e151bce453b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
颁布时间法规名称制定部门
法律1986. 4《民法通则》全国人大常委会
1995. 5《商业银行法》全国人大常委会
1995. 6《担保法》全国人大常委会
1999. 3《合同法》全国人大常委会
部门规章及规范性文件等1996.《贷款通则》中国人民银行
1999. 5. 13《关于国家助学贷款的管理规定(试行)》中 国 人 民 银 行、教育部、财政部
1999《国家助学贷款管理操作规程(试行)》教育部
1999. 12. 23《关于助学贷款管理的若干意见》中 国 人 民 银 行、教育部、财政部
2000. 8. 26《中国人民银行助学贷款管理办法》中国人民银行
2000. 8. 22《关于助学贷款管理的补充意见》中 国 人 民 银 行、教育部、财政部
"} {"image_path": "images/f31e680b792731365236947db4f23842.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathbf{E}_{\\varepsilon}$E( l e v e l )Log ft$\\text{I(}\\varepsilon+\\beta^{+})^{\\dagger}$$\\mathbf{E}\\:\\mathbf{\\varepsilon}$E( l e v e l )Log ft${\\text{I(}\\varepsilon+\\beta^{+})^{\\dagger}}$
(4440 140)1951.27.20.43 8(5250 140)1144.37.70.8 2
(4610 140)1784.97.50.73 13(5320 140)1073.56.67.4 12
(4780 140)1611.86.77.5 10(5390 140)1003.87.05.2 9
(4840 140)1550.06.80.8 2(5410 140)975.57.33.0 5
(4880 140)1513.06.74.1 8(5530 140)863.96.412 2
(4890 140)1500.07.12.9 5(5630 140)759.68.00.4 1
(4970 140)1416.06.66.4 9(6000 140)385.57.13.9 10
(5030 140)1365.07.51.3 4(6270 140)123.276.232 5
(5050 140)1335.96.68.2 14
(5070 140)1323.27.13.4 6
"} {"image_path": "images/0df2dadfa2792c117fb78f7b217b2e39.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$DESCRIPTION:^{*}$OPTION $RMN:^{*}$
Power Supply (Worldwide except India & China)A9T80-60008
"} {"image_path": "images/b3a84e13fa1f13afe3a09b19cdac7c0c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Phasesa $(\\overset{o}{\\text{A}})$c $(\\overset{o}{\\text{A}})$$B_o$ (GPa)$b_o$'Reference/source
$\\text{R-RuO}_2$4.4313.081312.54.016Present study
4.4493.099311.23.532
4.4433.09335.6833
4.4993.107JCPDS 40-1290
$\\text{F-RuO}_2$4.739347.14.181Present study
4.7413514.234
4.8423534.1335
3284.136
$\\text{R-CeO}_2$167.9 4.521Present study
$\\text{F-CeO}_2$5.368209.03.691 Present study
5.37193.537
5.48187.738
5.41Experiment$^{38}$
"} {"image_path": "images/c271de986acef7af407db70c82c7a0e2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
InhibitorsActivation parameters
$\\mathbf{E}_{a}^{\\ast},\\mathbf{k}\\mathbf{J}~\\mathbf{mol}^{-1}$$\\Delta\\mathsf{H}^{\\ast},\\mathsf{kJ~}\\mathsf{mol}^{-1}$$-\\Delta S^{\\ast},J~mol^{-1}~K^{-1}$
Blank29.127.9179.3
$L^4$54.952.3181.2
$L^5$56.854.2182.6
$L^1$57.554.9183.0
$L^2$58.155.5183.5
$L^3$59.456.8184.2
"} {"image_path": "images/5f35ebc02921380858bb6e1ba33995b7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年末总户数 (户)年末总人口 (人)
2015年2014年2015年2014年
高 新 区31021293778950585879
西 太 湖866486862602025967
湖 塘 镇5421151838152316147761
牛 塘 镇13498134204192941518
洛 阳 镇19033190945252152598
雪 堰 镇27565277387915679269
前 黄 镇23635237956679867012
礼 加 镇15594156764838348301
嘉 泽 镇27672277907551775463
湟 里 镇23129234136359263404
经 开 区8467084821234608234873
横 林 镇18276184135138351405
遥 观 镇16374164264533845284
横山桥镇20675208435952459425
丁 堰543253941453714566
潞 城753670012126919762
戚墅堰街道16377167444255744431
"} {"image_path": "images/9f5bed0ba21abe38300384349bb4b77e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IndependentVariablePooling OverdfN$\\chi^2$p
configurationnone12169064.28<.001$***$
magnitudepoint and type216903.80.06~
pointmagnitude and type3169017.37<.001$***$
typemagnitude and point2169013.66.01$**$
magnitude and typepoint4169023.97<.001$***$
type and pointmagnitude6169035.21<.001$***$
magnitude and pointtype6169038.46<.001$***$
"} {"image_path": "images/1cc0bb5715bea88ee877d090480250ed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
用药分组病情P值
合计
T
C
"} {"image_path": "images/004091c553feee08cfede57913f33a1d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Distances
Mo1-Mo22.5627(8)$ \\mathrm{Mol}-\\mathrm{O1} $1.686(5)
Mo1-O31.919(5)Mo1-O41.919(5)
Mo1-O52.013(5)Mo1-O62.006(5)
Mo2-O21.683(5)Mo2-O31.924(5)
Mo2-O41.941(4)Mo2-N112.217(6)
Mo2-N212.392(5)Mo2-N312.230(6)
O5-C11.367(9)O6-C61.346(9)
N11-N121.369(8)N12-C101.445(9)
N21-N221.365(7)N22-C101.446(9)
N31-N321.366(8)
Angles
$\\mathrm{O} 2-\\mathrm{Mo} 2-\\mathrm{N} 31$90.6(2)O3-Mo2-O491.8(2)
O3-Mo2-N1189.1(2)O3-Mo2-N2186.4(2)
O3-Mo2-N31160.2(2)O1-Mo1-O3109.3(2)
O4-Mo2-N11161.0(2)$O1-\\mathrm{Mo1}-\\mathrm{O} 4$111.7(2)
O4-Mo2-N2186.1(2)O1-Mo1-O5104.9(2)
O4-Mo2-N3189.4(2)O1-Mo1-O6108.3(2)
$\\mathrm{Ol}-\\mathrm{Mol}-\\mathrm{O6}$108.3(2)N11-Mo2-N2175.0(2)
O3-Mo1-O492.7(2) N11-Mo2-N3183.5(2)
O3-Mo1-O5144.6(2)N21-Mo2-N3174.0(2)
$\\mathrm{O} 3-\\mathrm{Mol}-\\mathrm{O} 6$82.0(2)Mo1-O3-Mo283.7(2)
$ \\mathrm{O} 4-\\mathrm{Mo} 1-\\mathrm{O} 5 $82.8(2)Mo1-O4-Mo283.2(2)
$ \\mathrm{O} 4-\\mathrm{Mo} 1-06 $139.1(2)Mo1-O5-C1114.9(5)
$\\mathrm{O} 5-\\mathrm{Mo} 1-\\mathrm{O} 6$78.9(2)Mo1-O6-C6114.9(5)
$\\mathrm{O} 2-\\mathrm{Mo} 2-\\mathrm{O} 3$107.8(2)Mo2-N21-N22119.0(4)
$\\mathrm{O} 2-\\mathrm{Mo} 2-\\mathrm{O} 4$107.2(2)$\\mathrm{O} 2-\\mathrm{Mo} 2-\\mathrm{N} 11$90.5(2)
O2-Mo2-N21159.8(2)Mo2-N31-N32121.9(4)
N12-C10-N22110.0(6) N12-C10-N32112.0(6)
$\\mathrm{N} 22-\\mathrm{C} 10-\\mathrm{N} 32$110.0(6)
"} {"image_path": "images/1dc281117bb3d25effdbfdbd0576fef3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
输 入 数 据
R 2R 3R 4R 5 .
.015.025.029.048
S 2S 3S 4S 5S 6
.003 .(.2!.010.023.011
PH 2Ph 3PH 4PH 5PH 6
-129.95015.524.000.000.000
SCPHC
.01630.240
S 7PH 7
.05431.793
P(1,1)P(1,2)P(4,1)P(4,2)
.000.000.026— .019
P(12,1)P(12,2)
.000.000
TH20DELN 2A 2
120.00010.0003000.000.000
NTHM BETA
101 180.000
XM( 2 )XM( 3 )XM( 4 )XM( 5 )XM( 6 )
.015.001.001.002.004
XI( 2 )XI( 3 )XI( 4 )XI( 5 )
.000.000.000.000
"} {"image_path": "images/0a7e360ee0de293d3741a9d17f713f1d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x171819202122232425262728293031
f(x)0.0830.1620.2450.330.4150.5060.600.700.8080.9251.061.211.401.702.11
"} {"image_path": "images/3666bc3995865977c06d4088dbc10eca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DescriptorDescription
$\\mathrm{TPSA}^{[a]}$Topological polar surface area
HDon_$N{}^{[a]}$Number of hydrogen bonding donors derived from the sum of nitrogen atoms in the molecule
$\\mathrm{Eccentric}^{[a]}$Molecular eccentricity
$\\mathrm{InertiaX}^{[a,b]}$Principal component of the inertia tensor in X-direction in $[\\mathrm{Da}·Å^2]$
$\\mathrm{Aspheric}^{[b]}$Molecular asphericity
2DACorr_SigEN_$1^{[a]}$2D autocorrelation weighted by σ atom electronegativity, where d = 0.
2DACorr_SigChg_$1^{[b]}$2D autocorrelation weighted by σ atom charges, where d = 0.
2DACorr_SigChg_$5^{[b]}$2D autocorrelation weighted by σ atom charges, where d = 4.
2DACorr_TotChg_$1^{[b]}$2D autocorrelation weighted by total atom charges (sum of σ and π charges), where d = 0.
2DACorr_TotChg_$5^{[a,b]}$2D autocorrelation weighted by total atom charges (sum of σ and π charges), where d = 4.
RDF_PiEN_$68^{[a]}$Radial distribution functions weighted by π atom electronegativities, where r is in the range of 6.7-6.8 Å.
RDF_SigEN_$11^{[a]}$Radial distribution functions weighted by σ atom electronegativities, where r is in the range of 1.0-1.1 Å.
RDF_SigEN_$52^{[a]}$Radial distribution functions weighted by σ atom electronegativities, where r is in the range of 5.1-5.2 Å.
RDF_SigEN_$78^{[b]}$Radial distribution functions weighted by σ atom electronegativities, where r is in the range of 7.7-7.8 Å.
RDF_SigEN_$115^{[b]}$Radial distribution functions weighted by σ atom electronegativities, where r is in the range of 11.4-11.5 Å.
RDF_LpEN_$37^{[b]}$Radial distribution functions weighted by lone pair electronegativities, where r is in the range of 3.6-3.7 Å.
RDF_LpEN_$70^{[b]}$Radial distribution functions weighted by lone pair electronegativities, where r is in the range of 6.9-7.0 Å.
RDF_PiChg_$76^{[a]}$Radial distribution functions weighted by π atom charges, where r is in the range of 7.5-7.6 Å.
RDF_TotChg_$46^{[a]}$Radial distribution functions weighted by the total atom charges (sum of σ and π charges), where r is in the rangeof 4.5-4.6 Å.
RDF_Ident_$124^{[b]}$Radial distribution functions weighted by atom idendities, where r is in the range of 12.3-12.4 Å.
RDF_Polariz_$35^{[b]}$Radial distribution functions weighted by effective atom polarizabilities, where r is in the range of 3.4-3.5 Å.
RDF_Polariz_$104^{[b]}$Radial distribution functions weighted by effective atom polarizabilities, where r is in the range of 10.3-10.4 Å.
RDF_Polariz_$127^{[b]}$Radial distribution functions weighted by effective atom polarizabilities, where r is in the range of 12.6-12.7 Å.
"} {"image_path": "images/63f5da106595f5d8490b3b295096a5e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Jensen AlphaFive-Factor AlphaConditional JensenAlpha
MER-0.665-0.813-0.681
$(-2.110)^{**}$ $(-1.740) *$$(-1.790)^{*}$
Log(FUNDSIZE)-0.248-0.100-0.363
$(-2.300) * *$(-0.640)$(-2.800) * * *$
Log(INVSIZE)-2.124-1.873-3.103
$(-9.710) * * *$$(-5.670) * * *$ $(-11.630) * * *$
Log(MININV)0.0830.2350.121
(0.870)(1.630)(1.040)
Log(AGE)-0.589-0.494-0.599
$(-2.750)^{***}$ (-1.520)$(-2.260) * *$
Log(CON)-2.892-2.430-2.201
$(-1.990) * *$(-1.170)(-1.310)
Dummy-LOAD-0.119-0.468-0.053
(-0.330)(-0.860)(-0.120)
Dummy-GROWTH0.1440.0800.412
(0.34)(0.120)(0.800)
Dummy-VALUE-0.218-0.255-0.010
(-0.500)(-0.390)(-0.020)
Constant33.93427.59141.285
$(6.900) * * *$$(3.980) * * *$$(7.320) * * *$
$R^{2}$ (Adjusted)0.2200.0970.297
F-Statistics (20.720)***$(8.480) * * *$$(30.430) ***$
"} {"image_path": "images/81d6da43b93b23d829beecc0acab5c34.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nomenclature
$E_{act}$Activation energy $(J~mol^{-1})$
f$f = n_e F / \\mathfrak{R} T (V^{-1})$
$f_{geo}$Geometric factor $(m^2~m^{-3})$
FFaraday's constant (96487 C $mol^{-1}$)
$i_0$Exchange current density (A $m^{-2}$)
IOperating current density (A $m^{-2}$)
$I_n$The first kind of n-order modified Bessel function
jElectrochemical reaction rate (A $m^{-3}$)
$k_{0,C},~k_{0,P}$Dimensionless variable in Eq. (8) and (16)
$K_n$The second kind of n-order modified Bessel function
lElectrode thickness (m)
$n_e$Electrons transferred per reacting molecule, $n_e = 2$
pPressure (Pa)
rRadius (m)
$\\mathfrak{R}$Universal gas constant $(8.314J~mol^{-1}~K^{-1})$
TTemperature (K)
xCoordinates (m)
yDimensionless overpotential, y = fη
Greek
$\\alpha$ Anodic transfer coefficient
$\\beta$Cathodic transfer coefficient
$\\eta $Overpotential (V)
$\\phi$ Potential (V)
$\\lambda$Dimensionless variable in Eq. (18)
$\\sigma$ Conductivity (S $m^{-1}$)
$\\psi _{0}, \\psi _{1}$Direction variable
Subscripts and superscripts
elElectronic conducting phase
E/CElectrode/flow channel interface
E/EElectrode/electrolyte layer interface
ionIonic conducting phase
refReference
tTotal or overall
"} {"image_path": "images/dad995a911979e85a67d7c926f078530.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IPS speed$(\\mathbf{km}\\ \\mathbf{s}^{-1})$5.66.37.48.29.0
Shock-tube filling pressure(kPa)6.83.31.70.80.4
Calculated PSS speed$(\\mathbf{km}\\ \\mathbf{s}^{-1})$6.857.928.378.769.50
Measured PSS speed$(\\mathbf{km}\\ \\mathbf{s}^{-1})$6.57.68.08.39.8
$\\mathbf{T}_{\\mathbf{ABLE}}$ 1. PSS velocity - comparison with experiments for air
"} {"image_path": "images/bc2521f22da80826d7509fc6a5c0c5cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HAMP modifications60+ DaysdelinquentModificationForeclosurefilingREO/ForeclosuresaleShort payoff
Originated 20070.8401***$0.8437^{* *}$0.8083***0.3576**0.8860
(-3.3311)(-1.9668)(-3.0302)(-2.2789)(-0.1146)
First modified in 20100.99030.8569***1.2433***0.89301.3761
(-0.4296)(-3.1601)(6.8587)(-0.5029)(0.9907)
First modified in 20110.9206***0.6803***1.2960***0.61111.6019
(-2.7779)(-7.3475)(5.9507)(-1.3932)(0.9976)
First modified in 20120.8792***0.6438***1.3522***0.79620.5658
(-2.9541)(-7.1034)(4.4854)(-0.4231)(-0.4917)
First modified in 20130.7286***0.6224***0.5815***4.2347
(-3.9772)(-6.0387)(-2.8068)(1.1606)
CLTV 80 to 89%1.2800***1.5546***1.1718***1.30320.2791
(6.8232)(7.5289)(2.8266)(0.5221)(-1.1701)
CLTV 90 to 94%1.3592***1.9505***1.5196***0.93900.0000
(7.3005)(9.9623)(6.8122)(-0.0936)(.)
CLTV 95 to 99%1.4107***1.8112***1.4033***3.0099**1.3795
(8.2372)(8.6379)(5.3437)(2.2921)(0.4395)
CLTV 100 to 124%1.5661***2.2271***1.7789***2.1400*1.3855
(14.7574)(16.2408)(12.8357)(1.8777)(0.6100)
CLTV 125 to 149 %2.0071***2.4952***2.7280***4.7492***1.8312
(21.2951)(16.8353)(21.2819)(3.8129)(1.0619)
CLTV 150 % and above2.6373***2.6027***4.6177***11.2310***9.3693***
(28.8969)(17.2630)(32.0381)(5.9585)(4.2273)
Year on year changein HPI0.9879***0.9939***0.9791***0.99941.0076
(-11.0115)(-2.7886)(-13.5891)(-0.0537)(0.5034)
Unemployment rate0.9497***0.9220***0.9651***0.7572***0.9993
(-8.3987)(-7.9595)(-3.7764)(-4.1921)(-0.0073)
Log-Likelihood-127453.67
Chi-Sq53445.08
Observations239,626
Borrowers8,375
"} {"image_path": "images/75c083f442314d81117bbf79e6fc742f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Energy levelAPMQRPMPWMModified DOS method
E (meV)$\\tau$ (ps)E (meV)$\\tau$ (ps)E (meV)$\\tau$ (ps)E (meV)$\\tau$ (ps)
$E^{(1)}_1$129.9250.057130.0470.058129.9670.071--
$E^{(1)}_2$130.2960.056130.1560.055130.3100.067130.3760.070
$E^{(1)}_3$205.2570.319205.2570.316205.2200.316205.3230.365
$E^{(1)}_4$254.0530.128254.0530.125254.0610.136254.0940.135
$E^{(1)}_5$365.1440.020365.8610.023365.2350.029365.4100.029
"} {"image_path": "images/0e362c61efa3b88c045cec8ac5b2b06b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Compound$^{\\dagger}$Temperature of weightloss in the oxidation ofthe sample to CO and $\\mathrm{CO}_2{ }^{\\circ} \\mathrm{C}$
0%3%5%
Ar-O-Ar-CO-Ar-O-Ar-CO-Ar-O-Ar (VII)385431438
Ar-O-Ar-CO-Ar-CO-Ar-O-Ar (I)375411428
Ar-Ar-CO-Ar-CO-Ar-Ar (II)370429-
R-CO-Ar-CO-R (III)345425-
$\\mathrm{C}_{6} \\mathrm{H}_{6}$ [17]340397403
Ar-Ar [17]340402410
Ar-Ar-Ar-Ar [17]343403414
Ar-O-Ar385424431
Ar-CO-Ar345398408
Dibenzofuran310359374
"} {"image_path": "images/3ded745075be1f17a404609f6aa80e9c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Energy (keV)113 ml179.5 ml
$\\Delta_1\\%$$\\Delta_2\\%$$\\Delta_1\\%$$\\Delta_2\\%$
121.780.0514.49-0.0113.75
244.690.3212.13-0.0711.23
344.28-0.659.950.4910.46
443.97-0.029.620.649.75
778.900.027.610.968.12
964.13-0.506.43-0.795.82
1112.111.287.64-0.016.13
1408.010.125.850.095.53
"} {"image_path": "images/94b29f2eff236144d500d584b44dac73.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Withdrawal speed(mm/min)FWHM(°)d-Spacing($\\mathbf{\\mathring{A}}$)LatticeparametersGrain size(nm)TC
a(nm)c(nm)
200.1752.593.2495.202472.64
400.1922.593.2525.206432.30
800.2152.593.2485.197382.00
JCPDS 001-11363.2425.176
"} {"image_path": "images/96ae8c4e957e97833e3b972fb79e0dcd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Primary particleGammaElectron
Zenith angle (°)02040600204060
Energy range (GeV)$5-10^4$$5-10^4$
Scatter radius (m)400450500550400450500550
View cone angle(°)----44.555.5
Primary particleProtonα particle
Zenith angle (°)02040600204060
Energy range (GeV)$10-10^4$$20-10^4$$10-10^4$$20-10^4$
Scatter radius (m)500550600650500550600650
View cone angle (°)44.555.555.55.56
"} {"image_path": "images/c32be4825120fc7170db84de2c6227dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年级人数*水平一年级二年级三年级四年级五年级
I661111
II21249181111
320124252222109
43771920
V
"} {"image_path": "images/5075273dcff4ed60a25ffbce27785941.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Grid zoneGrid surveysn
Secchi depth(cm)$K_\\text{d}$ PAR$(\\text{m}^{-1})$$\\begin{array}{c}\\mathrm{TSS}\\\\(\\mathrm{mg}&\\mathrm{l}^{-1})\\end{array}$$\\begin{array}{l}\\text{Chlorophyll}\\\\(\\mu g~1^{-1})\\end{array}$
A13.5±0.69.4±0.7108±93.7±1.248
B14.8±0.38.4±0.383±51.8±0.288
C16.2±0.37.2±0.268±41.5±0.280
D18.5±2.06.4±0.352±31.5±0.320
E18.8±0.66.3±0.250±21.6±0.288
F21.3±1.55.9±0.247±31.4±0.336
"} {"image_path": "images/d74894350084111b251c6085166f1af2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
h$L^2$Order$L^∞$Order$H^1$Order
$p_m$1/81.3555E-033.9842E-038.3186E-02
1/161.6938E-043.00055.2751E-042.91702.1370E-021.9608
1/322.1170E-053.00026.9320E-052.92785.3810E-031.9896
1/642.6460E-063.00018.9229E-062.95771.3478E-031.9973
$\\phi_{m}$1/81.3487E-034.1045E-038.3083E-02
1/161.6923E-042.99445.3183E-042.94822.1362E-021.9595
1/322.1164E-052.99936.9486E-052.93625.3805E-031.9892
1/642.6458E-062.99988.9281E-062.96031.3477E-031.9972
$w_m$1/81.3732E-034.2575E-038.3140E-02
1/161.6992E-043.01465.3646E-042.98852.1365E-021.9603
1/322.1187E-053.00366.9623E-052.94585.3807E-031.9894
1/642.6466E-063.00108.9281E-062.96251.3477E-031.9973
$u_c$1/82.7395E-046.5801E-047.2584E-03
1/163.9468E-052.79529.6047E-052.77631.4040E-032.3696
1/325.9881E-062.72051.3572E-052.82313.0371E-042.2088
1/648.6258E-072.79541.8370E-062.88527.0195E-052.1133
$p_c$1/82.3596E-024.9812E-025.9412E-01
1/166.1636E-031.93671.2667E-021.96412.9429E-011.0135
1/321.5527E-031.98903.1969E-031.99771.4645E-011.0068
1/643.8613E-042.00767.9502E-042.00767.3083E-021.0028
$\\phi_{c}$1/81.3485E-034.1042E-038.3083E-02
1/161.6924E-042.99435.3182E-042.94812.1362E-021.9595
1/322.1165E-052.99936.9486E-052.93625.3805E-031.9892
1/642.6459E-062.99988.9281E-062.96031.3477E-031.9972
$w_c$1/81.3467E-034.1057E-038.3083E-02
1/161.6919E-042.99285.3188E-042.94852.1362E-021.9595
1/322.1163E-052.99906.9518E-052.93575.3805E-031.9892
1/642.6458E-062.99988.9282E-062.96091.3477E-031.9972
"} {"image_path": "images/235119d71c94a553c52487ca63730aec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Energy (keV)$Ce_2O_3$$CeO_2$$CeCl_3~·~7H_2O$$Ce(SO_4)_2~4H_2O$
Exp. $(\\mu_t)$The $(\\mu_t)$Exp. $(\\mu_t)$The $(\\mu_t)$Exp. $(\\mu_t)$The $(\\mu_t)$Exp. $(\\mu_t)$The $(\\mu_t)$
39.92426.95795.247.11335.246.96725.246.91725.24
39.97196.88075.227.02435.226.84775.226.85495.22
40.01966.83075.216.96555.216.78675.217.08745.21
40.06736.83255.196.97865.196.71275.196.74375.19
40.11506.82295.176.90405.176.66395.176.91745.17
40.16276.87135.166.95925.166.64555.167.72505.16
40.21046.90085.146.96215.146.65565.148.74025.14
40.25806.97915.137.08455.136.67895.1311.7875.13
40.30577.63075.117.23775.116.74895.1114.8715.11
40.35347.31475.107.41245.106.89155.1016.0175.10
40.40117.58105.087.70825.087.16755.0819.2415.08
40.44888.147326.38.619626.37.509126.325.52626.3
40.49658.905826.39.174426.38.387226.324.33926.3
40.544210.24926.210.71326.29.851726.226.51626.2
40.591912.22826.113.09026.111.86626.123.21326.1
40.639515.09326.015.52426.014.67426.024.96126.0
40.687218.43425.918.99725.917.55625.927.83325.9
40.734921.04625.921.53525.920.13425.923.48225.9
40.782623.17925.822.76625.826.51425.824.14425.8
40.830324.39525.723.83025.723.60825.725.56425.7
40.878024.49225.624.08425.624.79825.624.69225.6
40.925724.66725.524.18025.522.68925.522.95325.5
40.973424.17325.524.27325.520.78425.523.44725.5
41.021124.60625.424.60825.422.84925.426.92125.4
41.068724.02225.323.32525.323.32725.324.30525.3
41.116423.95825.223.92025.226.38325.223.26225.2
41.164123.99325.224.18825.222.19125.223.89625.2
41.211823.82325.123.67025.121.64725.123.09825.1
"} {"image_path": "images/137faf9782ab3e3e9bd3ed2d1e55d9b7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample$-T\\left(\\frac{\\partial^{2}\\ln\\sigma}{\\partial P^{2}}\\right)_{T}\\left(\\mathrm{expt}\\right)$$(K/kbar^2)$$-T\\left(\\frac{\\partial^{2}\\ln\\sigma}{\\partial P^{2}}\\right)_{T}\\left(\\mathrm{theory}\\right)$$(K/kbar^2)$f$\\lambda J$(eV)
Single crystals $\\alpha$ phase0.66 ± $0.3^a$0.352.740.029
Single crystals $\\beta$ phase0.66 ± 0.30.972.740.079
Pellets $\\alpha$ phase1.09 ± 0.31.231.500.10
Pellets $\\beta$ phase1.96 ± 0.61.841.500.15
"} {"image_path": "images/55aa10b7837449ce6e34a2107a9c46b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SpeciesRainy seasonEarly dry seasonLate dry season
Pistacia weinmannifoliaPredawn $\\Psi_{leaf}$-0.48±0.06a-0.63±0.02a-1.20±0.07b
Midday $\\Psi_{leaf}$-1.21±0.07a-1.28±0.07a-1.33±0.04a
Midday $\\Psi_{stem}$-0.54±0.05a-0.60±0.06a-0.88±0.05b
gs 0.16±0.02a0.13±0.01a0.04±0.01b
Terminthia paniculataPredawn $\\Psi_{leaf}$-0.53±0.03a-0.73±0.03b-1.17±0.04c
Midday $\\Psi_{leaf}$-1.12±0.06a-1.45±0.09a-2.70±0.18b
Midday $\\Psi_{stem}$-0.53±0.03a-0.83±0.05a-2.32±0.07b
gs 0.25±0.01a0.22±0.01a0.14±0.02b
Lannea coromandelicaPredawn $\\Psi_{leaf}$-0.43±0.02a-0.98±0.07b-
Midday $\\Psi_{leaf}$-1.23±0.05a-1.30±0.03a-
Midday $\\Psi_{stem}$-0.52±0.07a-0.75±0.05b-
gs0.25±0.01a0.05±0.01b-
"} {"image_path": "images/2b8a364f953fd41ab11e54c4f76eed3e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CoefficientOriginal dataContaminated data
ValueSE$\\hat{p}_{\\mathrm{AV}}$ValueSE$\\hat{p}_{\\mathrm{AV}}$
$\\hat{\\beta}_{0}$-39.5833.060.25-28.1731.340.38
$\\hat{\\beta}_{1}$0.010.030.840.010.020.79
$\\hat{\\beta}_{2}$-0.710.820.39-0.860.780.28
$\\hat{\\beta}_{3}$1.020.490.050.860.460.08
"} {"image_path": "images/423e7e5d86f5ab3fb3f60b9ef9bc9673.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T=8NEv$E_b$$E_g$$T_e$
UFVFC-Swartz645.89e-150.05.74e-030.12
Owkes and Desjardins [26]649.755e-156.517e-177.7576e-030.01
Ivey and Moin [30] NIFPA-1,65--1.1392e-02-
UFVFC-Swartz1281.56e-140.01.45e-030.27
Owkes and Desjardins [26]1281.290e-146.328e-171.876e-030.04
Ivey and Moin [30] NIFPA-1129--2.679e-03-
UFVFC-Swartz2566.16e-140.0$3.77 \\mathrm{e}-04$0.58
Owkes and Desjardins [26]2561.736e-149.325e-174.045e-040.15
Ivey and Moin [30] NIFPA-1257--5.3677e-04-
"} {"image_path": "images/c35631e8d3b0c3d8761ba6b436abc230.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterSymbolValueUnitsNotes
Boltzmann's constant$k_B$1.38 × $10^{-23}$$m^2$ kg $s^{-2}~ K^{-1}$
Planck's constant$\\hbar$1.04 × $10^{-34}$$m^2$ kg $s^{-1}$
Elementary charge$\\underline{q}$1.60 × $10^{-19}$C
Applied potential difference$\\Phi$0.6V
Glass layer thicknessL$10^{-8}-10^{-6}$m
TemperatureT300K
Absolute permittivity$\\epsilon$3.45 × $10^{-11}$F $m^{-1}$(1)
Effective electron mass$m_n$9.11 × $10^{-31}$kg(2)
Statistical factor$r_n$3(3)
Interfacial electron density$n_1$~$10^{25}$$m^{-3}$(4)
"} {"image_path": "images/5cb9398304e86877d2e2ebf06e3bb41b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Alternate solutionsSelected fluxes $(mmol~g^{-1}~cell~h^{-1})$
$r_{1}$$r_{2}$$r_{10}$$r_{18}$$r_{19}$
14.012.751.1800
24.223.380.7601.49
34.223.380.7600
44.940.654.2100
58.210.657.4800
68.780.658.05011.5
78.780.658.0500
88.780.658.0500.57
98.780.658.0500
r23r27r32$Y_{C}$$Y_{ATP}$
101.2700.6913.4
20000.6622.9
31.49000.6616.1
403.841.630.567.3
505.4700.345.6
6005.470.3224.2
711.505.470.325.4
805.4700.325.2
90.575.4700.325.0
"} {"image_path": "images/dc971d34ec437d09d7e5422f74a882bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ELECTRICITY GENERATION TWh
Coal303861252318
Gas5372120107234309
Nuclear, oil, diesel4544534093501530
Renewable9012513598145189
Total electricitygeneration (TWh)628 TWh 688 TWh724 TWh578 TWh555 TWh517 TWh
"} {"image_path": "images/9c8664fed89faf692506cbeea89c6353.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DatumNo. ofSites$\\Delta x,$ m$\\Delta y,$ m$\\Delta z,$ m
Qornoq1+196+132-142
Camp Area 19621-103-125+235
Southeast Isl .2-19-186-274
Arc 19501-120-128-296
Samoa 19621-115+140+420
Wake Astro1+280-35+142
Australian3-120-33+144
Ascension Isl. 19581-210+81+47
SW Base Graciosa Isl.1-52+121+14
North American 19272-27+161+181
Indian1+253+791+358
Geodetic 19491+75-6+198
01d Hawaiian1+56-271-197
European4-79-105-121
Yaf Astro 19671-35+147+88
Provisional South American 19562-266+125-374
South American 19692-770-43
Luzon1-101-39-101
Abindan2-150-31+199
Palmer Astro1+214+28+210
Isla Socorro Astro1+132+219+498
Tokyo1-135+528+676
Mauritius Astro1-788+77-294
Easter Isl. 19671+193+154+108
Provisional Chilean 19631-4+194+95
Christmas Isl. 1967Astro1+111+258-535
"} {"image_path": "images/71b4e076fd369e3e69d1bed5ca6e8f7c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IngredientsQuantity(phr) Dryweight (g) Wetweight (g)Reaction volume (L)
0.5 100Wet weight (g)200
Chemicals in a main reactor
60% HA latex-70.00116.67284.756,939.6133,879.3
85% TEPA1.0 0.700.822.0 400.2800.4
37% K-laulate1.51.052.857.01,390.92,781.8
WaterTo adjust50% of TSC53.39130.326,056.552,112.9
Chemicals in a feeding tank
99% MMA-30.0030.373.914,787.629,575.2
80% CHP1.00.700.882.1 429.5859.0
Total102.45204.90500.1100,004.3 200,008.6
"} {"image_path": "images/2b1ce948ea222e170230c3aad3fd381e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
O2221程序号(内轮廓)
N0250G41 H003左补偿
N0260G90 G01 X0. Y57.017直线插补到点(0, 057.017)
N0270G03 X-44.521 Y37.24 J-60圆弧插补到点(-44.521, 37.24)
N0280G03 X-43.051 Y30.849 I2.968 J-2.682圆弧插补到点(-43.051, 30.849)
N0290G03 X43.051 Y30.849 I43.051 J106.638圆弧插补到点(43.051, 30.849)
N0300G03 X44.521 Y37.24 I-1.498 J3.709圆弧插补到点(44.521, 37.24)
N0310G03 X0. Y57.017 I-44.521 J-40.223圆弧插补到点(0, 57.017)
N0320G40 G01 X0. Y56.517取消补偿, 直线插补到点(0, 56.517)
N0330S504调入加工条件(第四次切割)
N0340G42 H004右补偿
N0350G90 G01 X0. Y57.017直线插补到点(0, 57.017)
N0360G02 X44.521 Y37.24 J-60圆弧插补到点(44.521, 37.24)
N0370G02 X43.051 Y30.849 I-2.968 J-2.682圆弧插补到点(43.051, 30.849)
N0380G02 X-43.051 Y30.849 I-43.051 J106.638圆弧插补到点(-43.051, 30.849)
N0390G02 X-44.521 Y37.24 I1.498 J3.709圆弧插补到点(-44.521, 37.24)
N0400G02 X0. Y57.017 I44.521 J-40.223圆弧插补到点(0, 57.017)
N0410G02 X0.5 Y57.015 J-60圆弧插补到点(0.5, 57.015)
N0420G40 G01 X 0.496 Y56.515取消补偿, 直线插补到点(0.496, 56.515)
N0430G40 G01 X0. Y52直线插补到点(0, 52)
N0440M02程序结束
"} {"image_path": "images/78a8c4dc7c74c9304acee77e2f1b0b89.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SamplesSpiked urineSpiked plasma
Amountadded$\\left(\\mathrm{ng}~ \\mathrm{mL}^{-1}\\right)$Amountfound$\\left(\\mathrm{ng}~ \\mathrm{mL}^{-1}\\right)$PreconcentrationfactorRecovery $(\\%) \\pm$ S.D.Amountadded$\\left(\\mathrm{ng}~ \\mathrm{mL}^{-1}\\right)$Amountfound$\\left(\\mathrm{ng}~ \\mathrm{mL}^{-1}\\right)$PreconcentrationfactorRecovery $(\\%) \\pm$ S.D.
CHE5.04.915.7$98.8 \\pm 1.6$5.05.041.7$100.8 \\pm 1.7$
10.010.117.1$ 101.2\\pm 1.5 $10.09.881.9$98.8 \\pm 1.1$
50.049.818.699.7 ± 1.350.049.552.1$99.1 \\pm 1.4$
"} {"image_path": "images/da3676af4d0b3f942e3dcee58d5912c6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目年 份招 收 工 人统 分配
城市招工农村招工安排知青复转军人大中专学生
19731701-5798
1974247172-14154
1975149174110988238
197647938431006163182
197714--15149
1978--164282150
19793961167716
1980237115-126656
19811411-194150353
"} {"image_path": "images/a782be2021c7c999819cde97a991d5fc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\chi_0$$\\lambda$$\\bar{\\lambda}$$\\eta$$\\bar{\\eta}$$\\theta$$\\lambda \\cdot \\theta$$\\bar{\\lambda} \\cdot \\theta$
111133777
$\\mu$1$\\rho$$\\rho^{-1}$001$\\rho$$\\rho^{-1}$
$\\mu^{-1}$1$\\rho^{-1}$$\\rho$001$\\rho^{-1}$$\\rho$
v111 $\\kappa+\\kappa^{2}+\\kappa^{4}$ $\\kappa^{-1}+\\kappa^{-2}+\\kappa^{-4}$ 000
$v^{-1}$111 $\\kappa^{-1}+\\kappa^{-2}+\\kappa^{-4}$ $\\kappa+\\kappa^{2}+\\kappa^{4}$ 000
"} {"image_path": "images/3b754e39bb5c106745e2421501fd8ef1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
温度(℃)蒸汽压力(kPa)含水汽量温度(℃)蒸汽压力(kPa)含 水 汽 量
质量$\\left(g / m^{3}\\right)$气体百分数(%)质量$\\left(g / m^{3}\\right)$气体百分数(%)
对干气体对湿气体对干气体对湿气体对干气休对干气体对干气体对湿气体
-200.1030.820.810.1020.101131.47912.111.91.501.48
-150.1651.322.310.1640.163141.59912.912.71.601.58
-100.2622.072.050.2570.256151.70513.713.51.711.68
-80.3092.462.450.3060.305161.81714.614.41.821.79
-60.3682.852.840.3640.353172.07115.715.51.951.93
-50.4013.193.180.3970.395182.06316.716.42.082.04
-40.3463.483.460.4320.430192.17917.817.42.222.17
-30.4753.793.770.4710.459202.33819.018.52.362.30
-20.5174.124.100.5120.510212.48620.219.72.522.40
-10.5624.494.460.5580.555222.6 321.521.02.682.61
00.6104.874.840.6050.002232.80922.922.32.862.78
10.6575.245.210.6520.648242.98324.423.63.042.94
20.7005.645.600.7010.697253.16726.025.13.243.16
30.7566.056.010.7530.748263.36027.626.73.433.32
40.8136.516.460.8100.804273.56429.338.33.653.52
50.8726.976.910.8080.860283.77931.230.03.883.73
60.9357.487.420.9300.922293.99933.131.84.123.95
71.0018.027.940.9980.988304.24235.133.74.374.19
81.0728.598.521.0701.060314.49337.135.64.654.44
91.1479.179.101.1401.130324.75439.637.74.934.69
101.2279.819.731.2201.210335.03542.039.95.214.96
111.31210.5010.401.3101.290345.31944.542.25.545.25
121.40211.211.11.401.38355.62347.344.65.895.56
"} {"image_path": "images/8e9981ea4c4fc3a3b9569dfae2d8a6fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ST28KOT01
TlcTdrStp
$SiO_2$58.50.0350.4
$TiO_2$0.100.000.01
$Al_2O_3$6.560.055.76
$FeO^a$7.900.278.71
MnO1.2764.521.6
MgO15.21.096.69
CaO1.396.050.39
$Na_2O$6.430.180.04
$K_2O$0.040.651.43
Total97.472.895.0
Si4.0120.0028.000
Ti0.0030.0000.001
A10.0210.0041.078
$Fe^{3~+~b}$0.014
$Fe^{2~+~b}$0.2881.156
Mn0.002$3.450^c$2.904
Mg2.6210.1031.583
Ca0.0230.4090.067
Na0.0100.0220.011
K0.0020.0520.290
Total6.9824.05615.090
"} {"image_path": "images/f84d551b268745350626b2835dda35dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$x$1.000.790.580.500.390.260.200
Saturation moment($\\begin{equation}\\mu_B\\end{equation}$/formula unit)3.752.370.980.440.301.121.542.88
Iron magnetic moment$\\left(\\mu_{B}\\right)$1.621.581.541.531.511.471.471.44
The Curie constant(emu/formula unit)10.778.837.096.355.454.373.972.28
The contribution of $\\mathrm{Fe}$atoms to the Curieconstant, $C_{\\mathrm{Fe}}$ (emu)2.872.592.512.402.372.322.392.28
The effective iron moment$\\left(\\mu_{B}\\right)$3.393.223.173.103.083.053.093.02
$1/\\chi_{\\circ}$17.77-1.4-8.3-18.4-32.3-71.7-85.1...
$\\sigma$1859362523481360372274...
$\\theta$820718660632622598585...
"} {"image_path": "images/bf4811a594eeb8c6477cb7b0c380a28e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
parametervalueunit
2-Body Potential Parameters
$Q_{\\mathrm{Ni}}$$2.0000^{a}$au
$Q_{\\mathrm{O}}$ $-0.6596^{a}$ au
$Q_{\\mathrm{H}}$ $0.3298^{a}$ au
$A_{O}$-7577.8511834$\\text{kcal mol}^{-1}\\text{Å}^5$
$B_{O}$42716.9882874$\\text{kcal mol}^{-1}\\text{Å}^7$
$C_{O}$-70268.4505341$\\text{kcal mol}^{-1}\\text{Å}^9$
$D_{O}$52301.7750493$\\text{kcal mol}^{-1}\\text{Å}^{12}$
$A_{\\mathrm{H}}$-353.3401000$\\text{kcal mol}^{-1}\\text{Å}^5$
$B_{\\mathrm{H}}$3467.0790489$\\text{kcal mol}^{-1}\\text{Å}^7$
$C_{\\mathrm{H}}$-6549.7630208$\\text{kcal mol}^{-1}\\text{ Å}^9$
$D_{\\mathrm{H}}$4909.1439175$\\text{kcal mol}^{-1}\\text{Å}^{12}$
3-Body Potential Parameters
F0.5239824 $\\text{kcal mol}^{-1}\\mathring{\\mathrm{A}}^{-4}$
G0.1561863$\\mathring{\\mathrm{A}}^{-1}$
H0.6255337$\\mathring{\\mathrm{A}}^{-1}$
"} {"image_path": "images/65e0d35fe4d486d055aa01e6ad617a2e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
袋材仕様曲げ剛性EI$\\mathrm{kN} \\cdot \\mathrm{m}^{2}$※降伏前の変形係数$E_{1}$$ kN/m^{2}$塑性域での低減係数$\\beta$降伏後の変形係数$E_{2}$kN/m $^{2}$
タイプ1No.122.58.44E+050.0584.89E+04
No.225.49.51E+055.51E+04
No.323.88.90E+055.16E+04
Ave.23.98.95E+055.19E+04
タイプ2No.112.14.51E+050.0552.48E+04
No.217.86.65E+053.66E+04
No.37.42.79E+051.53E+04
Ave.12.44.65E+052.56E+04
"} {"image_path": "images/99805bc0bc75d24039ff64914b6ad5cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IsomerEquilibriumpK$_a$$\\begin{gathered}\\mathrm{pK}_{\\mathrm{a}}{ }^* \\\\ (\\mathrm{abs})\\end{gathered}$$\\begin{gathered}\\mathrm{p} K_{\\mathrm{a}}{ }^* \\\\ (\\mathrm{flu})\\end{gathered}$$\\underset{(\\mathrm{pH})}{\\mathrm{pK}_{\\mathrm{a}}{ }^*}$
3-Hydroxy-quinoline$^a$$\\mathrm{C} \\rightleftharpoons \\mathrm{N}$4·336·4(4·2)
$\\mathrm{C} \\rightleftharpoons \\mathrm{Z}$5·52-0·1-0·7-0·2
$\\mathrm{N} \\rightleftharpoons \\mathrm{A}$8·034·5(8·1)
$\\mathrm{Z} \\rightleftharpoons \\mathrm{A}$6·8411·111·312·2
$\\mathrm{N} \\rightleftharpoons \\mathrm{Z}$1·19-6·6
6-Hydroxy-quinoline$^a$$\\mathrm{C} \\rightleftharpoons \\mathrm{N}$5·188·414·2(5·2)
$\\mathrm{C} \\rightleftharpoons \\mathrm{Z}$7·03-2·70·8-4·5
$\\mathrm{N} \\rightleftharpoons \\mathrm{A}$8·874·0 -1·9(8·8)
$\\mathrm{Z} \\rightleftharpoons \\mathrm{A}$7·0214·510·6~16
$\\mathrm{N} \\rightleftharpoons \\mathrm{Z}$1·85-11.1-13·0
7-Hydroxy-quinoline$^a$$\\mathrm{C} \\rightleftharpoons \\mathrm{N}$5·648·813·5(5·4)
$\\mathrm{C} \\rightleftharpoons \\mathrm{Z}$6·01-2·8-1.4-2.2
$\\mathrm{N} \\rightleftharpoons \\mathrm{A}$8·673.5-2.7(8·7)
$\\mathrm{Z} \\rightleftharpoons \\mathrm{A}$8·3215·311·414·4
$\\mathrm{N} \\rightleftharpoons \\mathrm{Z}$0·37-11.6-13·3
"} {"image_path": "images/0a3759722974645e0be2cf869d70cf67.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
UnitsScen. PScen. BEScen. O
Solar thermal 2.5 M€/MW
ESOLAR (FLUID+DECARB)M€42.541.2540.5
EDRYM€432
EFLUIDM€1.91.51.15
EO&MM€4.844.584.37
$E_{TOT}$M€51.3448.8346.87
Solar thermal 3 M€/MW
ESOLAR (FLUID+DECARB)M€5149.548.6
EDRYM€432
EFLUIDM€1.91.51.15
EO&MM€5.695.45.18
ETOTM€60.6957.955.78
Solar thermal 3.5 M€/MW
ESOLAR (FLUID+DECARB)M€59.557.7556.7
EDRYM€432
EFLUIDM€1.91.51.15
EO&MM€6.546.235.98
ETOTM€70.0466.9864.68
"} {"image_path": "images/99967f604a24684be0fec04055fb916d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ImageDensity% Dose difference
D98D95D50D5D2
sCTHU1.0 (3.2)1.0 (3.1)1.0 (2.9)1.1 (3.2)1.1 (3.4)
SCTWater1.2 (2.4)1.2 (2.4)1.1 (2.2)1.1 (2.3)1.1 (2.4)
$sCT_{1V}$HU-0.7 (-2.2)-0.7 (-2.2)-0.7 (-1.7)-0.7 (-1.4)-0.7 (-1.6)
$sCT_{1V}$Water-0.5 (-1.3)-0.6 (-1.3)-0.6 (-1.3)-0.6 (-1.4)-0.6 (-1.3)
"} {"image_path": "images/bdf89decb39efebffbc36f1fede66d54.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
C = 1C = 2C Is missingRate of missing dataTotal
$M_{(~)}$
D = 1E = 137.567.5350.25140
E = 03757.51502560
D = 0E = 17.537.5150.2560
E = 067537.5350.25140
$M_{(DE)}$
D = 1E = 14581140.1140
E = 0408120.260
D = 0E = 1735180.360
E = 04525700.5140
$M_{(c)}$
D = 1E = 142.558.5390.28140
E = 042.56.5110.1860
D = 0E = 18.532.5190.3260
E = 076.532.5310.22140
"} {"image_path": "images/b7d40d52307ad25a7d10d4c8e5902a12.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 1. Thermodynamic parameters determined by ITC at $298 \\mathrm{~K}$ for binding LA, SDS and DTAC to lactoglobulin isoforms A and B
SDSLADTAC
LGB-A
$n~ \\mathrm{H}^{+}$ (mol/mol)$0.584 \\pm 0.050$$0.551 \\pm 0.007$$0.602 \\pm 0.029$
$K_{a}\\left(M^{-1}\\right)\\times 10^{-5}$ $8.38 \\pm 1.47$$2.48 \\pm 0.23$$0.57 \\pm 0.11$
$\\Delta H~(\\mathrm{kJ} / \\mathrm{mol})$$-2.54 \\pm 1.65$$10.63 \\pm 0.22$$-1.66 \\pm 0.97$
$T \\Delta S~(\\mathrm{kJ} / \\mathrm{mol})$$31.27 \\pm 1.71$$41.42 \\pm 0.32$$25.50 \\pm 1.07$
$\\Delta G~(\\mathrm{kJ} / \\mathrm{mol})$-33.81 ± 0.43-30.79 $\\pm$ 0.23-27.15 $\\pm 0.46$
LGB-B
$n~ H^{+}$ (mol/mol)$0.421 \\pm 0.018$$0.248 \\pm 0.014$$0.529 \\pm 0.070$
$K_{a}\\left(M^{-1}\\right)\\times 10^{-5}$ $6.39 \\pm 1.68$$1.46 \\pm 0.42$$0.55 \\pm 0.14$
$\\Delta H~(\\mathrm{kJ} / \\mathrm{mol})$$-11.39 \\pm 0.60$-3.43 $\\pm 0.46$$ -5.77 \\pm 2.29 $
$T \\Delta S~(\\mathrm{kJ} / \\mathrm{mol})$$21.75 \\pm 0.88$$26.06 \\pm 0.84$$21.31 \\pm 2.38$
$\\Delta G~(\\mathrm{kJ} / \\mathrm{mol})$$-33.14 \\pm 0.65$$-29.49 \\pm 0.71$-27.07 $\\pm$ 0.64
$\\Delta G~ was~ calculated~ according~ to~ the~ equation~ \\Delta G=-RTlnK_{\\mathrm{a}}$.
"} {"image_path": "images/2a1b14214df3ef253579ba8b7ca4d34f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
set A: ${\\gamma _{5} ·S_{a.c}}$
n1 - $a_{n}$$E_{n}$$b_{n}$$\\bar{E}_n$$\\tilde{b}_{n}$$\\tilde{E}_{n}$$c_{n}$$E^{\\prime}_{n}$$d_{n}$$\\bar{E^{\\prime}_{n}}$
00.655(1)1.1274(2)0.074(6)1.74(9)0.5(3)4.3(7)-0.165(5)1.4333(49)-0.15(14)2.56(53)
10.13(2)1.436(12)1.1(2)3.42(9)0.33(7)1.95(11)-0.017(8)1.601(79)-0.5(6)3.0(7)
"} {"image_path": "images/b7a9761d32699347831086b521b64ff9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Patient characteristicSuspected seizures(n = 31)No suspicion for seizures(n =38)SignificanceOR [95 % CI]
Demographics
Female, n (%)20 (66.2 %)24 (64.4)0.94 [0.35-2.53]
Age, mean (SD)62.8 (13.7)55.1 (14.0)t(67)= 2.30,p =0.02*
Clinical presentation
Glascow coma scale, median (IQR)11 IQR [3-14]14 IQR [3-15]z =1.04,p = 0.30
Thick cisternal blood (F 3),n (%)21 (67.7 %)30 (79.0 %)0.56 [0.19-1.66]
High clinical grade (HH 4-5), n (%)16 (55.2 %)9 (24.3 %)3.83 [1.34-10.93]**
Intraparenchymal hemorrhage, n (%)5 (16.1 %)10 (27.0 %)0.52 [0.16-1.73]
Intraventricular hemorrhage, n (%)20 (64.5 %)28 (73.7 %)0.65 [0.23-1.82]
Hydrocephalus, n (%)17 (54.8 %)21 (55.3 %)0.98 [0.38-2.55]
Size of aneurysm (mm): mean (SD)6.3 (4.0)6.7 (3.8)t(59) = -0.40; p = 0.70
MCA aneurysm Location, n (%)4 (12.9 %)4 (10.5 %)1.26 [0.29-5.50]
ACA aneurysm location, n (%)2 (6.5 %)3 (7.9 %)0.80 [0.13-5.15]
Craniotomy, n (%)17 (54.8 %)28 (73.7 %)0.43 [0.16-1.19]
Electrophysiology
Seizure at ictus, n (%)7 (22.6 %)4 (12.1 %)2.11 [0.55-8.01]
AED at time of EEG, n (%)15 (48.4 %)23 (60.5 %)0.61 [0.23-1.59]
Time to EEG from SAH (days), mean (SD)3.9 (3.68)2.7 (3.68)t(67) = 1.88; p = 0.06
cEEG duration (days), mean (SD)4.0 (4.27)7.0 (2.95)t(67) =-3.45; p < 0.01**
"} {"image_path": "images/383dc0b2c0c7e2be060ea0c6598f2925.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample NoSodium Percentage (Na%)
Pre-monsoonWater qualityPost- monsoonWater quality
151Permissible36Good
266Doubtful73Doubtful
379Doubtful80Doubtful
486Unsuitable67Doubtful
585Unsuitable16Excellent
647Permissible65Doubtful
734Good34Good
840Good68Doubtful
930Good24Good
1017Excellent54Permissible
1132Good24Good
1227Good17Excellent
1345Permissible41Permissible
1467Doubtful44Permissible
1526Good73Doubtful
1620Excellent41Permissible
1724Good39Good
1816Excellent63Doubtful
1928Good36Good
2029Good49Permissible
"} {"image_path": "images/12bbbf68327d88485ac8478a52afc71d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.SymbolTypeDefinition
Stretching
1-4$R_{\\mathrm{i}}$C-CC2-C3, C3-C4, C4-C5, C5-C6
5-7$Q_{\\mathrm{i}}$C-NC2-N1, C6-N1, C7-N1
8-15$P_{\\mathrm{i}}$C-HC2-H11, C2-H12, C3-H13, C3-H14, C5-H16, C5-H17, C6-H18, C6-H19
16-18$r_{\\mathrm{i}}$C-H(methyl)C7-H8, C7-H9, C7-H10
19$S_{\\mathrm{i}}$C-OC4-015
Bending
20-25$\\beta_{\\mathrm{i}}$RingN1-C2-C3, C2-C3-C4, C3-C4-C5, C4-C5-C6, C5-C6-N1, C6-N1-C2
26-41$\\alpha_{\\mathrm{i}}$NCH, CCHN1-C2-H11, C3-C2-H11, N1-C2-H12, C3-C2-H12, C2-C3-H13, C4-C3-H13,C2-C3-H14,C4-C3-H14, C4-C5-H16, C6-C5-H16, C4-C5-H17, C6-C5-H17, C5-C6-H18, N1-C6-H18,C5-C6-H19, N1-C6-H19
42-43$\\gamma_{\\mathrm{i}}$CNCC2-N1-C7, C6-N1-C7
44-46$\\sigma_{\\mathrm{i}}$NCH (methyl)N1-C7-H8, N1-C7-H9, N1-C7-H10
47-49$\\delta_{\\mathrm{i}}$HCHH8-C7-H9, H8-C7-H10, H9-C7-H10
50-51$\\theta_{\\mathrm{i}}$CCOC3-C4-O15, C5-C4-O15
Out-of-plane bending
53$\\omega_{\\mathrm{i}}$C-OO15-C4-C3-C5
53$\\psi_{\\mathrm{i}}$C-NC7-N1-C2-C6
Torsion
54-59$t_{\\mathrm{i}}$$\\tau\\mathrm{Ring}$N1-C2-C3-C4, C2-C3-C4-C5, C3-C4-C5-C6, C4-C5-C6-N1, C5-C6-N1-C2, C6-N1-C2-C3
60$t_{\\mathrm{i}}$$\\tau\\mathrm{CH}_{3}$(C2, C6)–N1–C7–(H8,H9–H10)
"} {"image_path": "images/99513fddd680b4cb7e517da34f6919e3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PlateThickness(mm)Chemical composition (wt.%)$YP^a$(MPa)$TS^b$(MPa)$El^c$(%)
CSiMnPSTi
A250.090.311.520.0090.0010.00746155325
B250.120.211.410.0060.0020.00747957327
C250.100.191.480.0080.0030.01346055023
"} {"image_path": "images/b10f1fd64583e9abde5ab9faf4fb251c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$独立变量^a$$回归系数^b$
(1)(2)(3)(4)(5)
$\\Delta$ (会计利润)--0.000 177(17.2)- 0.000 187(15.7)
$\\Delta$( 销售收入)---0.000 012 2(7.2)-0.000 003 4(-1.7)
$R^2$0.008 30.008 20.044 90.014 80.045 3
样本大小7 7477 7477 7217 7217 721
"} {"image_path": "images/4d10d3ae16baa138ca5496b6151aac23.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DURING YEARS OFFALLING PRICESDuring YEARS OFSTABLE PRICES*DURING YEARS OFRISING PRICES
Year ofDeliveryNo.of MonthsFutures PriceIncreasedYear ofDeliveryNo.of MonthsFutures PriceIncreasedYear ofDeliveryNo.of MonthsFutures PriceIncreased
1926 . . . . . . . . . . . . . .21927. . . . . . . . . . . . .71933. . . . . . . . . . . . .7
1930 . . . . . . . . . . . . . .11928. . . . . . . . . . . . .81934. . . . . . . . . . . . .6
1931 . . . . . . . . . . . . . .31929. . . . . . . . . . . . .51936. . . . . . . . . . . . .6
1932 . . . . . . . . . . . . . .41935. . . . . . . . . . . . .51941. . . . . . . . . . . . .8
1937 . . . . . . . . . . . . . .31940. . . . . . . . . . . . .71946. . . . . . . . . . . . .8
193841948. . . . . . . . . . . . .61947. . . . . . . . . . . . .7
1949 . . . . . . . . . . . . . .71952. . . . . . . . . . . . .41950. . . . . . . . . . . . .9
1953. . . . . . . . . . . . .4
1954. . . . . . . . . . . . .6
Total . . . . . . . . . . .$\\overline{24}$Total$\\overline{52}$Total . . . . . . . . . . .$\\overline{51}$
$M_S$ . . . . . . . . . . . . . . . . .38.5$M_S$ . . . . . . . . . . . . . . . . . .49.5$M_S$ . . . . . . . . . . . . . . . . . .38.5
$\\sigma$S . . . . . . . . . . . . . . . . .2.753$\\sigma$S . . . . . . . . . . . . . . . . . . .3.158$\\sigma$S . . . . . . . . . . . . . . . . . . .2.753
$x^2$ . . . . . . . . . . . . . .33.23$x^2$ . . . . . . . . . . . . . . . . . .$7.38 \\dagger $$x^2$ . . . . . . . . . . . . . . . . . . .$17.53 \\dagger $
$\\chi^{2}_{0·001}(7)$. . . . . . . . . . . . .24.322$\\chi^{2}_{0 .5}(9)$ . . . . . . . . . . . . . . . .8.343$\\chi^{2}_{0 .02}(7)$ . . . . . . . . . . . . . . .16.662
K. . . . . . . . . . . . . .- 4.35K. . . . . . . . . . . . . . . . . . .0.73K . . . . . . . . . . . . . . . . . . .3.63
"} {"image_path": "images/1b902bd35255e589b2a03e10ced7c7eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Casestudy BusesBranchesGeneratorsSize of measurementvector
RTUPMURTURTU
$U_m$$U_{pm}$$A_{pm}$$P_{fl~s}$$Q_{fl~s}$$P_{\\mathrm{g}}$$Q_{\\mathrm{g}}$
IEEE 39bus394446461010$1 \\times 159$
IEEE 118bus11812121861865454$1 \\times 622$
"} {"image_path": "images/3d6cde11fe775933930e5724e360c0fe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Estimates for the following dates of post-joint-claims scan (2001):
April 30thJune 4thJune 24thAugust 4thSeptember 1st
September 25th, 2000, base
1 month survival rate-5.74-5.88-3.77-14.26#-16.47#
(1.21)(1.20)(0.82)(3.26)(3.50)
2 months survival rate-5.08-0.39-13.64s-14.56#-12.86s
(0.86)(0.07)(2.41)(2.57)(2.27)
3 months survival rate-2.871.76-9.34-11.71-
(0.45)(0.27)(1.49)(1.91)-
4 months survival rate4.644.90-0.18--
(0.69)(0.73)(0.03)--
5 months survival rate2.655.293.95--
(0.39)(0.78)(0.59)--
6 months survival rate6.40----
(0.95)----
November 27th, 2000, base
1 month survival rate-4.861.79-9.82s-16.36#-13.83#
(1.08)(0.40)(2.34)(4.03)(3.10)
2 months survival rate-2.87-0.20-16.00-9.70-11.97s
(0.50)(0.04)(3.01)(1.78)(2.17)
3 months survival rate3.316.37-8.36-0.45-
(0.53)(1.04)(1.41)(0.08)-
December11th,2000,base
1 month survival rate-4.640.78-8.44s-17.33-16.92#
(1.09)(0.18)(2.14)(4.41)(3.94)
2 months survival rate-0.661.36-16.34-8.59-14.93
(0.11)(0.24)(3.04)(1.53)(2.65)
3 months survival rate5.081.75-10.41-3.56-
(0.79)(0.28)(1.73)(0.58)-
January 22nd, 2001, base
1 month survival rate-3.53-0.59-8.11-13.06#-16.25
(0.79)(0.13)(1.87)(3.08)(3.55)
Size of group JC (after imposingsupport requirement)453510557666583
"} {"image_path": "images/f6b781f62cae286819d6e5e56ea81ffc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Face$\\gamma $
1270
2306
3234
4234
5306
6330
7330
8330
9330
10342
11198
12198
13342
140
150
160
170
1818
19162
20162
2118
2230
2330
2430
2530
2654
27126
"} {"image_path": "images/92372c2d836e82ba343310564def2bee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CombinationnumberCracking statein Direction $1^{\\mathrm{a}}$Cracking statein Direction 2Cracking statein Direction 3
1CrushedCrushedCrushed
2OpenIntactIntact
3ClosedIntactIntact
4OpenOpenIntact
5OpenOpenOpen
6ClosedOpenOpen
7ClosedOpenIntact
8OpenClosedOpen
9ClosedClosedOpen
10OpenClosedIntact
11OpenOpenClosed
12ClosedOpenClosed
13 ClosedClosedIntact
14 OpenClosedClosed
15ClosedClosedClosed
16IntactIntactIntact
"} {"image_path": "images/2b6d55c4c668e623115804ccc4f13134.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Anisole^{b)}$(ml)DMSO $/ {R_3}{B}$(mmol) (mmol)Temperature,$^{\\circ}C$(treatment withDMSO) Residualhexyl group(%)Hexyl/1-Methyl-pentyl
None0.5 / 416087.195 / 5
None1 / 416085.195 / 5
None4 / 416081.896 / 4
None12 / 416067.097 / 3
20.2 / 416097.598 / 2
20.2 / 417097.599 / 1
20.5 / 417084.399 / 1
"} {"image_path": "images/f0cf72cd465837571d66f87490b1c5c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Mesh$\\Delta \\eta_{\\text{wall}}\\ (\\text{m})$$Δη^+_{~~~~(avg)}$Realizable k-ε modelSST k-ω model
$C_{VM}$$C_{PM}$$C_{TM}$$C_{VM}$$C_{PM}$$C_{TM}$
structured0.0015442.9670.6963.6623.0420.6083.651
0.0030752.9670.6413.6072.9730.6083.581
0.00601292.9480.5763.5232.9340.6423.576
0.01202192.8660.6533.5202.8590.7183.578
unstructured0.0015382.7990.9013.7002.8230.8993.722
0.0030732.7870.8983.6852.7210.8943.615
0.00601182.7650.8893.6542.6020.9143.516
0.01201912.7400.9503.6902.5220.9083.430
"} {"image_path": "images/3d62b095c6640bfe537c536ca7c70b1e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample$E_g$ (eV)$E_U$ (eV)$E_d$ (eV) $E_o$ (eV)$n_{\\infty}$$\\lambda_{o}(\\mathrm{~nm})$$S_{o}\\times 10^{12}\\left(m^{-2}\\right)$
NS (wt%)PVA/PANI (wt%)
01004.720.3910.903.691.15314.143.27
1994.600.3310.284.021.17318.973.63
3974.570.3710.847.641.29314.776.70
5954.480.2913.6618.531.51283.0315.90
"} {"image_path": "images/ecf0388c02a85090b8d0d23df99a01ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2. 农 业 存 款3.集镇储蓄存款
小 计国营农业企业存款社队企业存 款集体农业存 款信用社转存 款其中: 定期
5,54728774415,145731632
44680-23643018
256161872156452
428167-405119104
3657146338164140
31473-3049680
910472112830208195
2,82811411142,6895043
"} {"image_path": "images/ec081ff48f1f9af40f115b8e51db8b8c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TimeForecasted electricity price($/kW)Forecasted wind power output(kW)
Lower boundUpper boundUpper boundUpper bound
t=10.06630.089169.63107.38
t=20.06000.079086.90137.25
t=30.04750.059878.17123.72
t=40.04860.061399.01150.27
t=50.05510.071095.34142.76
t=60.05540.072185.26146.45
t=70.07120.097783.30147.94
t=80.08190.1294101.36138.99
6=10.09540.139487.04152.14
t=100.09770.140988.42133.96
t=110.10890.159843.6662.87
t=120.09960.145618.1529.81
t=130.09480.165528.8345.45
t=140.10070.147040.0364.28
t=150.11020.161122.0330.29
t=160.11090.164837.8157.98
t=170.11250.170174.66126.28
t=180.13420.181842.4374.15
t=190.14520.195328.7040.43
t=200.15550.219132.0656.08
t=210.12590.182747.2581.98
t=220.10600.144333.5953.85
t=230.09150.135325.4341.96
t=240.08680.122446.8475.27
"} {"image_path": "images/11b780ea81888f24625cd2bb704993e6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleTh(p.p.m.byweight)*U (p.p.m. by weight)U isotopicratio 8/5Th(other method,p.p.m. by weight)Density $(g\\ cm^{-3})$
La 187±9 $0.015±0.002\\dagger$ Natural$76 \\ddagger$3.60
La 2265±33$-\\S$Natural——3.56
La 3466±56$0.015±0.002\\dagger \\ddagger$Natural$452 \\ddagger$3.58
La 4712±60$-\\S$Natural——3.61
La 5920±65$-\\S$Natural——3.55
T-131.5±1.0$0.046 \\dagger$189$31 \\ddagger$40.6±0.8**2.28
K2a0.42±0.040.345±0.083||¶Natural$0.352 ± 0.008¶2.03
614 SRM$0.823\\dagger \\ddagger$387$0.746 \\ddagger$2.55
"} {"image_path": "images/5c00ca2070913f4b8026b6596f3f0fc1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PropertyElectronic NoseμGC/μPC/μPDHIDGC-MS
Specific VOC identified?NoYesYes
Instruments comparable?NoYesNo
Signals comparable?NoYesNo
Onboard pattern analysisYesYesNo
Sensitivity limitsppm-to-ppbppb-to-pptppt-ppq
Sensor drifts?YesNoNo
Sensor poisoning?YesNoNo
Responses are variable?YesNoNo
Individual VOC quantifiable?NoYesYes
Power requirementsLow-to-moderateLow-to-moderateHigh
Skill / training of operatorModerateModerateHigh
Portability?YesYesNo
"} {"image_path": "images/a0734e8e64a3330c47c3200332dbfdbb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SoilN-rate,$kg\\ ha^{-1}$Regresssionr
Loamy sand0Y = - 39 + 101 x0.73
40Y = - 750 + 141 x0.85
80Y = - 1268 + 172 x0.92
Sandy loam0Y = 664 + 98 x0.80
40Y = 187 + 145 x0.96
80Y = 377 + 146 x0.94
"} {"image_path": "images/2e5d2113ad9368930d072c54601eff9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
压电元件的形状尺寸 (mm)压电变压器的参数
$f_{б}$(kHz) $K_{No}$U\"(kV)$P_{q}$(W)
矩形板5020133.273036
方形板5050137.113002.518
发电部分在中心的圆盘$\\phi 50$139.2670212
陶瓷管外经$\\phi 50$10135.711003.214
"} {"image_path": "images/8677ea8e1f39ffaf0c974de2b5e82438.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
计算断面评估稳定程度计算稳定系数 $F_{s}$ 备注
K45+385$ F_{s}\\approx 1.02 $浅层1.023土石交界面
3+1.085上部
2+1.067上部
$ F_{\\mathrm{s}} \\approx 1.02 $11.016坡脚剪 出口
2-1.017反翘
3-1.084反翘
4-1.146反翘
5-1.258反翘
"} {"image_path": "images/23092ab96a34fbd3e9c8223de058b6eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
명칭서가유형자료배열자료수장 상자(tray)자료출납 장비
ReCAP수동 고밀집서가(Harvard)(높이 : 30ft/9.1m)크기별(16종)사용(16종)order picker
WRLC수동 고밀집서가(Harvard)(높이 : 30ft/9.1m)크기별사용. 시청각/마이크로/기록물자료는 box 사용order picker
NRLF맞춤형 수동 고밀집서가$^{91)}$크기별(4종)+2줄 배가일부자료에 한해 사용사다리
SRLF맞춤형 수동 고밀집서가 $^{92)}$ +이동식밀집서가(영화필름 등)크기별+2줄 배가최근 마이크로필름과 작은 책을플라스틱 상자(tray)에 수납사다리
PASCAL수동 고밀집서가(Harvard)(높이 : 30ft/9.1m)크기별(5종)사용(5종)$^{93})$order picker
SWORD수동 고밀집서가(Harvard)(높이 : 30ft/9.1m)크기별언급없음. 홈페이지 이미지 확인결과, 사용order picker
NEORD수동 고밀집서가(Harvard)(높이 : 30ft/9.1m).언급없음. 홈페이지 이미지 확인결과,사용order picker
NWORBD수동 고밀집서가(Harvard)(높이 : 33ft/10.1m)크기별(5종)사용(5종). 특수자료, 기록물 등box 사용order picker
FCLD이동식 밀집서가(전동식)(높이 : 12ft/3.7m)크기별(3종)사용사다리(7-steprolling ladders)
MLAC맞춤형 수동 고밀집서가(높이 : 16.7ft/5.1m)94)크기별사용order picker
FLARE(예정)수동 고밀집서가(Harvard)(높이 : 35ft/10.7m)크기별.order picker
URRSA맞춤형 수동 고밀집서가(높이: 3m)크기별(5종)언급없음. 홈페이지 이미지 확인결과, 상자는 사용하지 않음사다리
$CARM^{95)}$맞춤형 수동 고밀집서가(3층) +수동고밀집서가(Harvard)(높이 : 13m) 크기별(CARM1) +청구기호순(CARM2)CARM1은 크기별 여러 상자를사용. CARM2는 상자를 사용하지 않고 일반도서관과 동일 배가리프트와사다리 사용
CTLes수동 고밀집서가(Harvard) (높이 : 10m) + 밀집서가 .중성(mode-neutral) 자료수납 용기(box) 사용order picker
GEPA맞춤형 수동 고밀집서가(층고 : 일반건물 1개층 수준)크기별사용높은 서가 접근을위해 특수 차량 이용
경기평생교육학습관이동식 밀집서가(전동식)오동나무 일반서가(8대) : 귀중서 보관도서관람 +동목연호순사용 안함사용하지 않음
"} {"image_path": "images/b1777bbdde34c92fc1c937ce8ef546c0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MissouriDexter6th November 20113600.07g1.14*1.807-0.638
MissouriDexter6thNovember 20113600.1g1.14*1.807-0.638
MissouriDexter6th November 2011360${ }^{\\dagger} 0.5 g$1.14*1.807-0.638
MissouriDexter6th November 2011360${ }^{\\dagger} 0.8 g$1.14*1.807-0.638
OklahomaSW Harper19th November 2015900.0009gMultiple peaks0.108
OklahomaSW Harper19th November 2015900.04gMultiple peaks0.108
OklahomaSW Harper19th November 2015900.08gMultiple peaks0.108
OklahomaSW Harper19th November 201590${ }^{\\dagger} 0.25 g$Multiple peaks0.108
OklahomaMehan7th November 2016900.15g2.395.03*9.570.128
OklahomaMehan7th November 2016900.4g2.395.03*9.570.128
OklahomaMehan7th November 201690${ }^{\\dagger} 0.65 g$2.395.03*9.570.128
OklahomaMehan7th November 201690${ }^{\\dagger} 1.5 g$2.395.03*9.570.128
"} {"image_path": "images/e38f04f0ccfd32117fb03750d9c99065.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reaction timeComponent (wt%)Mole ratio$\\mathrm{Ni} /$ mica $^{\\dagger}$(wt ratio)Yield $(\\%)^{\\ddagger}$
$\\text{SiO}_2$Ni$\\text{SiO}_2$Ni
20 min25.2231.584.005.130.767.2
2.25 h9.0445.654.0020.673.0829.3
6.5 h5.8348.674.0034.185.0948.5
43 h3.8350.344.0053.818.0176.3
"} {"image_path": "images/c35eca7734cc1c9e7efca0cc24b0034c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Specific weight,$g/cm^{3}$Thermal stability\\begin{gathered}K_{\\text{Ic}} \\\\\\text{MPa} \\cdot \\text{m}^{0.5}\\end{gathered}Vickers hardness,GPaRef.
[46]
[47]
2507 cycles(1200–25°C)27% higher than forYSZLow sinterability[48]
[49]
[50]
5.1-5.96.1-6.96.3-6.45.6-5.7$\\mathrm{La}_{2} \\mathrm{Zr}_{2} \\mathrm{O}_{7}$ and $\\mathrm{Gd}_{2} \\mathrm{Zr}_{2} \\mathrm{O}_{7}$ are the most thermally stable phases[51]
1346 cycles(1350-25℃)[52]
6.036-6.147[53]
3700 cycles(25-1350℃)~8.8[54]
32 cycles(1250–22°C)[55]
1.5-38[56]
"} {"image_path": "images/88c0f47a36a12838c265ae796b360a6f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
stability levelabP$10^{\\mathrm{p}}$q
A0.280.90- 0.278 190.5270.865
B0.230.85- 0.430 630.3710.866
C0.220.80- 0.679 850.2090.897
D0.200.76- 0.892 790.1280.905
E0.150.73- 1.008 770.0980.902
F0.120.67-1.187 090.0650.902
"} {"image_path": "images/0b6e48b8fddb867d3046774a4021d7a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
InhibitorQuantity(ng)% Inhibition ofbinding Ab-2anti-anti-Idreactions
RabbitNo. 1RabbitNo. 2
HBsAg25003852
2501931
2525
Ovalbumin250024
25011
2502
"} {"image_path": "images/393ba7c49cbfdfe4e84c710c61a78688.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Space Imaging公司ORBIMAGE 公司DigitalGlobe 公司
IKONOSOrbView-3QuickBird
波段光谱分辨率$(\\mu m)$星下点空间分辨率(m)波段光谱分辨率(μm)星下点空间分辨率(m)波段光谱分辨率(μm)星下点空间分辨率(m)
10.45~0.524x410.45~0.524x410.45~0.522.44×2.44
20.52~0.604x420.52~0.604x420.52~0.602.44×2.44
30.63~0.694x430.625~0.6954x430.63~0.692.44×2.44
40.76~0.904x440.76~0.904x440.76~0.892.44×2.44
全色0.45~0.901x1全色0.45~0.901x1全色0.45~0.900.61×0.61
传感器线阵列推扫式线阵列推扫式线阵列推扫式
刈幅宽度11 km8 km20~40km
数据传输率25 Mb/s50 Mb/s50 Mb/s
重访周期<3天<3天随纬度变化在1~5天
轨道 681 km,太阳同步,每天上午10:00~11:00通过赤道 470 km,太阳同步,每天上午10:30通过赤道 600 km,非太阳同步,通过赤道的时间不固定
发射日期 1999年4月27日(发射失败),1999年9 月24 日2003 年 6月 26日2001 年 10月 18日
"} {"image_path": "images/4b7bb67f5efcce14902fb52a97e2e6c1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cumulativecontact pressure,kPaField trial1980,kg/haYieldloss,%Field trial1982,kg/haYieldloss,%
Control2824039200
With 32 kW tractor
34158444302023
17015694235040
3400100199049
5100100180054
With 97 kW tractor
46160543267032
2280100220044
4560100118070
684010077080
"} {"image_path": "images/c5bb9a92b2c3cc322985323e639fb524.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T$\\alpha*$$\\kappa$
11.21.31.41.52
5000.10.0470.2410.4480.6690.8330.999
8000.0480.3770.6670.8730.9621.000
10000.0470.4370.7510.9270.9891.000
"} {"image_path": "images/dddcb2ba4e5f61e2e7f78aa261edc178.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cases$k_h$$k_v$c (kPa)$c_w\\ (kPa)$$\\varphi\\ (deg.)$$\\delta\\ (deg.)$I (deg.)$\\beta\\ (deg.)$$q_o\\ (kPa)$Critical failure angel with vertical $\\alpha_{cr} (deg.)$
Zarrabi -Kashani'smethod [39]Shukla'smethod [35,36]Ghosh'smethod [17]Proposedmethod
1000030000030.030.030.030.0
200003010105029.7/29.829.8
30.050003010105030.0/32.932.9
40.10003010105030.6/36.336.3
50.10.1003010105030.8/37.137.1
60.10100300000/33.833.833.9
70.10105300000/35.635.935.8
80.105530105510//37.837.8
90.1010530105510//36.336.5
100.10105301010510//34.834.9
"} {"image_path": "images/1489f7c528a3317626b366ac8da4fa08.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\begin{array}{l}{\\mathrm{Eluat}}\\\\{\\mathrm{Nr.}}\\end{array}$Gewicht in mgSmp.Farbreaktionen
$konz. H_{2}SO_{4}$$FeCl_{3}$
$20^0$$100^0$
134110—$112^0$gelbdunkelgelbgriun
2166108—$110^0$gelbdunkelgelbgriun
342694—$100^0$gelbdunkelgelbbraungriin
4890141—$143^0$gelbrotbraunbraunschwarz
51350143—$144^0$gelbrotbraunbraunschwarz
6651142—$143^0$gelbbraunbraunschwarz
7598141—$143^0$gelbbraunbraunschwarz
8430107—$124^0$gelbhellbraunbraunschwarz
9371115—$122^0$gelbgelbbraunschwarz
10313115—$122^0$gelbgelbbraunschwarz
11217120—$123^0$gelbgelbbraunschwarz
12207122—$123^0$gelbgelbbraunschwarz
13220120—$124^0$gelbgelbbraunschwarz
14235112—$122^0$gelborangebraunschwarz
1570$\\ddot{\\text{o}}\\text{lig}$
"} {"image_path": "images/185fd8a3bd8fd291ce3cad482f3a7d44.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
药物立即毒性近期毒性
恶心呕吐其他骨髓移植其他
阿霉素++局部刺激+++脱发、黏膜炎、口炎、心脏毒性\"
博来霉素+-发热、过敏反应-皮肤色素沉着、皮硬、脱发、肺纤维化* *
卡莫司汀++++++肝损伤、肺纤维化* * *
环磷酰胺+++++药物性膀胱炎、脱发
氮烯咪胺++++
鬼白乙叉甙++直立性低血压、局部刺激++脱发
氟尿嘧啶+-腹泻+咽炎
环己亚硝脲+++++肝损伤、肺纤维化
米尔法兰+-+++
氨甲喋呤+-++黏膜炎
丝裂霉素+++局部刺激+++
顺铂++++++肾损伤、耳及周围神经毒性
甲基环已亚硝脲+++++肝损伤
喃呋啶+-腹泻++神经毒性
噻替派+-++
长春碱++局部刺激++周围神经毒性
长春新碱+-局部刺激-周围神经毒性、脱发
长春碱酰胺+-++周围神经毒性
"} {"image_path": "images/db06dd837e2059f40263a08135a3b836.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AnionofAlkyl halideYield,%EIMS, m/e Monoacid salts
MB Mp, ℃Crystn solventRef Registry no.
12a$\\mathrm{CH}_3 ~\\mathrm{I}$10015458227—229 $\\operatorname{dec}^a$Ethanol10,2214789-40-3
12a$\\mathrm{C}_2 ~\\mathrm{H}_5 ~\\mathrm{Br}$7416858$189—90^a$Acetone23,d
12a$n-\\mathrm{C}_4 ~\\mathrm{H}_9 ~\\mathrm{Br}$100129—$131^b$Ethyl acetate-etherd
12a$\\mathrm{c}-\\mathrm{C}_6~ \\mathrm{H}_{1~1}~\\mathrm{CH}_2 \\mathrm{Br}$7523658$163.5-166$$~~\\operatorname{dec}^c$Acetoned
12b$n-\\mathrm{C}_4 ~\\mathrm{H}_9 ~\\mathrm{Br}$10094.5—$95.5^a$Ethyl acetate-petroleumetherd
"} {"image_path": "images/c206f50a57e639e114eb726f685a5aa7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
KMC (SD)Time (s)LWTime (s)Difference $(\\%)$
CIR
31058.5602 (0.0013)51.4658.56040.0160.0003
32048.6101 (0.0014)51.4648.61030.0160.0004
33038.6600 (0.0015)51.4638.66020.0160.0005
34028.7106 (0.0014)51.4628.71010.016-0.0017
35018.7603 (0.0014)51.4618.75990.016-0.0021
"} {"image_path": "images/ece7e26bb89eba6571294b838afdb12a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Specimen$f'_c$at testday(MPa)Theoreticalflexuralstrength(plain RC)(kN)Theoreticalflexuralstrength(FRP-reinforced)(kN)Shear strength against diagonaltension failureFRP contributionto shear strengthEq. (1) (kN)Shear strengthof FRP-reinforcedshear wall minimum(columns 4,5,6) + FRPcontribution (kN)Maximumtestload,P$_{max}$ (KN)
ACI-318seismicprovisions$(kN)^{a}$CSAA23.3-94modifiedequation$(kN)^{b}$Wood'smodel$(kN)^{c}$
Phase 1
CW-1 40197 -5834744630463188
RW-1401973925834744630463322
SW1-1422323955884844680468260
SW2-1 40230 561581 470461230690450
Phase 2
CW-236191 -571 4494510449204
RW-2361913865714494510449284
SW1-2 36192 3865724514520451313
SW2-2 391945605804674590459426
SW3-2 39 193 684 578 464 458 230 688 542
"} {"image_path": "images/b253acb574edbef188c8972da05960e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Mean Diameter(nm)Standard Deviation Volume SwellingRatio(VCM/oil)CalculatedMeanDiameterMeasured MeanDiameterStandard Deviation
2177342632604390
2177384797782452
2177394827827446
2277042661669490
2277084833804465
2277094865870514
"} {"image_path": "images/18f3b5fa012968f0c9e6d96249e9f2bb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BatchMetal
CadmiumCopperChromiumIronLeadManganeseNickelZinc
1$0.12 ± 0.012.19 ± 0.202660 ± 39.52.04 ± 0.1664.2 ± 2.051.43 ± 0.017.14 ± 0.20
20.13 ± 0.012.09 ± 0.052790 ± 43.71.81 ± 0.1170.5 ± 1.811.51 ± 0.017.48 ± 0.15
"} {"image_path": "images/33a63f09840509dc25e79a501695c8ab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RegressionPseudoSP(1%, 1.5%)PseudoSP(2%, 2.5%)PseudoSP(3%, 3.5%)
(3)(4)(3)(4)(3)(4)
$NI_t$$0.034 ^{* *}$$0.025^{* *}$$0.034^{* *}$$0.025^{* *}$$0.034^{* *}$$0.025^{* *}$
(16.94)(11.79)(16.91)(11.80)(16.84)(11.79)
$N I_{t} * PseudoSP_{t}$0.006-0.0130.012-0.0050.0050.005
(0.34)(-0.66)(1.25)(-0.48)(0.61)(0.56)
$X_t$$0.001^{* *}$$0.001^{* *}$$0.001^{* *}$
(6.24)(6.22)(6.54)
$N I_{t}^{ *} X_{t}$$0.021^{* *}$$0.021^{* *}$$0.021^{* *}$
(6.24)(6.21)(6.13)
$N I_{t}^{ *} PseudoSP_{t}^{ *} X_{t}$0.0340.0260.003
(1.06)(1.46)(0.22)
$CONTROLS_{t-1}$YesYesYesYesYesYes
Adj. $R^{2}$0.0870.1120.0870.1120.0870.112
NO.15,39715,23215,39715,23215,39715,232
"} {"image_path": "images/3e577bf6ccb145ce25058e8c87bc8150.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
m5℃15℃25℃35℃
$\\rho$$V_{2 \\phi}$$\\rho$$V_{2 \\phi}$$\\rho$$V_{2 \\phi}$$\\rho$$V_{2 \\phi}$
L-Serine
0.099941.15491464.291.15104564.781.14657065.191.14184465.53
0.15031.15710564.421.15288264.961.14835365.331.14366165.60
0.20081.15893364.581.15469365.151.15016665.361.14543965.83
0.25001.16072164.611.15646565.181.15191265.401.14715565.93
0.30031.16245064.881.15814565.641.15350365.701.14891965.93
0.35071.16417565.071.15986865.681.15536865.711.15060666.11
0.40251.16600165.051.16167765.671.15714165.761.15236166.18
"} {"image_path": "images/942a3dddaef712d06e21d2be2183c23e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A. Grade 1
SizeCohort 1Cohort 2Cohort 3Cohort 4Cohort 5
15mm12.67±1.34 (a)33.52±3.33 (a)-5.75±0.62 (a)16.31±1.91 (a)
20mm44.00±0.88 (b)19.99±2.11 (b)-30.90±1.47 (b)36.60±1.15 (b)
25mm32.00±0.31 (c)28.13 $\\pm 0.97(\\mathrm{a})$-23.06±2.37 (c)49.43±2.06 (c)
30mm29.29±0.54 (d)18.14±1.34 (b)-18.75±0.80 (c)30.90±2.15 (b)
B. Grade 3
SizeCohort 1Cohort 2Cohort 3Cohort 4Cohort 5
15mm15.84±2.38 (a)23.43±1.52 (a)12.13±2.13 (a)14.59±3.93 (a)14.52±1.15 (a)
20mm31.19±1.11 (b)21.56±0.33 (a)28.33±1.91 (b)26.02±2.74 (b)28.03±1.59 (b)
25mm26.25±0.36 (c)19.66±2.05 (a)31.95±0.94 (b)22.38±1.10 (b)26.89±3.00 (b)
30mm-13.61±0.63 (b)21.03±0.60 (c)15.61±0.48 (a)27.69±0.80 (b)
"} {"image_path": "images/62c629c1e49c50cd4c8ef99941473a88.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ComponentCost balance equations
Air compressor$\\dot{C}_{1}+\\dot{C}_{W,AC}+\\dot{Z}_{AC}=\\dot{C}_{2}$
Combustion chamber$\\dot{C}_2+\\dot{C}_4+\\dot{Z}_{CC}=\\dot{C}_5$
Gas turbine$\\dot{C}_5+\\dot{Z}_{GT}=\\dot{C}_6+\\dot{C}_{W,GT}$
Reheater$\\dot{C}_{7}+\\dot{C}_{30}+\\dot{Z}_{RH}=\\dot{C}_{8}+\\dot{C}_{31}$
High pressure superheater$\\dot{C}_9+\\dot{C}_{42}+\\dot{Z}_{HPSH}=\\dot{C}_{10}+\\dot{C}_{43}$
High pressure evaporator$\\dot{C}_{11}+\\dot{C}_{41}+\\dot{Z}_{HPEVAP}=\\dot{C}_{12}+\\dot{C}_{42}$
High pressure economizer$\\dot{C}_{12}+\\dot{C}_{40}+\\dot{Z}_{HPECPN}=\\dot{C}_{13}+\\dot{C}_{41}$
Intermediate pressure superheater$\\dot{C}_{13}+\\dot{C}_{27}+\\dot{Z}_{IPSH}=\\dot{C}_{14}+\\dot{C}_{28}$
Intermediate pressure evaporator$\\dot{C}_{14}+\\dot{C}_{26}+\\dot{Z}_{IPEVAP}=\\dot{C}_{15}+\\dot{C}_{27}$
Intermediate pressure economizer$\\dot{C}_{15}+\\dot{C}_{25}+\\dot{Z}_{IPECON}=\\dot{C}_{16}+\\dot{C}_{26}$
Low pressure superheater$\\dot{C}_{16}+\\dot{C}_{34}+\\dot{Z}_{LPSH}=\\dot{C}_{17}+\\dot{C}_{33}$
Low pressure evaporator$\\dot{C}_{17}+\\dot{C}_{37}+\\dot{Z}_{LPEVAP}=\\dot{C}_{18}+\\dot{C}_{38}$
Low pressure economizer$\\dot{C}_{18}+\\dot{C}_{20}+\\dot{Z}_{LPECON}=\\dot{C}_{19}+\\dot{C}_{21}$
High pressure steam turbine$\\dot{C}_{43}+\\dot{Z}_{HPST}=\\dot{C}_{44}+\\dot{C}_{W,HPST}$
Intermediate pressure steam turbine$\\dot{C}_{31}+\\dot{Z}_{IPST}=\\dot{C}_{32}+\\dot{C}_{W,IPST}$
Low pressure steam turbine$\\dot{C}_{45}+\\dot{Z}_{LPST}=\\dot{C}_{46}+\\dot{C}_{W,LPST}$
High pressure pump$\\dot{C}_{39}+\\dot{C}_{W,HPP}+\\dot{Z}_{HPP}=\\dot{C}_{40}$
Intermediate pressure pump$\\dot{C}_{24}+\\dot{C}_{W,IPP}+\\dot{Z}_{IPP}=\\dot{C}_{25}$
Low pressure pump$\\dot{C}_{36}+\\dot{C}_{W,LPP}+\\dot{Z}_{LPP}=\\dot{C}_{37}$
Condenser pump$\\dot{C}_{29}+\\dot{C}_{W,CONDPUMP}+\\dot{Z}_{CONDPUMP}=\\dot{C}_{20}$
"} {"image_path": "images/92991feb18d9066dc23c0e16f547bb3c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Experiment$β/f$Vertical couplingEnvironmental flow$V_{\\nu}~\\left(\\mathrm{m} \\mathrm{~s}^{-1}\\right)$
βNIβno heating$-$1.38
$βD0$βdiabatic heating$-$1.50
$βD20$βdiabatic heating + vertical diffusion$-$1.50
CONT$f$diabatic heatinguniform zonal flow $3\\ \\text{m}\\ \\text{s}^{-1}$0.05
WF$f$diabatic heatinglinear westerly shear0.61
$WF0$$f$no heatinglinear westerly shear0.52
$WF0A$$f$no heating, lower stabilitylinear westerly shear0.79
WFS$f$stronger diabatic heatinglinear westerly shear1.14
WFI$f$diabatic heatingwesterly shear between 500 and 300 mb-0.77
WBβdiabatic heatinglinear westerly shear1.74
EF$f$diabatic heatinglinear easterly shear-0.61
EBβdiabatic heatinglinear easterly shear1.44
"} {"image_path": "images/568f87376e944f88f4b2a85ab154b85d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Description of levelsSymbolsFactors
FSM
Lower-1160010020
Central0210030060
Upper+12600500100
Interval of variation△X100040080
"} {"image_path": "images/c654475a4d4d5cc7fe0c1eee6cd8f821.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
潜变量观测变量因子载荷量AVE
工具性帮忙关系I10.87350.7343
I20.84
情感性帮忙关系E10.93040.777005
E20.8297
寻租关系R10.83740.66865
R20.811
R30.8443
R40.7764
算计性承诺CC10.86560.740858
CC20.917
CC30.7952
情感性承诺AC10.7130.509252
AC20.761
AC30.664
机会主义行为010.89030.779338
020.8448
030.912
合同治理CG10.90790.814911
CG20.9466
CG30.8512
"} {"image_path": "images/63414d2a6462b2a747564239ee02a4eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CountryUndersymmetric lossUnder asymmetric loss
ArgentinaBrazilChileMexicoArgentinaBrazilChileMexico
$\\alpha$-0.77-0.470.390.22-0.71-0.800.530.09
(2.13)(0.68)(0.42)(0.24)(1.88)(0.68)(0.44)(0.17)
$\\beta$0.180.15-0.120.030.140.15-0.100.01
(0.23)(0.11)(0.11)(0.05)(0.21)(0.10)(0.11)(0.03)
$H_0:\\alpha=\\beta=0$0.070.050.550.000.290.340.500.11
Obs.3755435237554352
$R^{2}$0.030.050.030.020.050.050.020.01
"} {"image_path": "images/b498029b1c0ff0dae80760b6b756bb77.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reaction$k[cm^3~molecule^{-1}~s^{-1}]$$\\tau$
$\\mathrm{NO}_{2}+\\mathrm{OH}(+\\mathrm{M})\\rightarrow\\mathrm{HNO}_{3}(+\\mathrm{M})$$1.5\\times10^{-11}$18 h
$\\mathrm{NO}_{2}+\\mathrm{HO}_{2}(+\\mathrm{M})\\rightarrow\\mathrm{HO}_{2}\\mathrm{NO}_{2}(+\\mathrm{M})$$10^{-12}$[b]
$\\mathrm{NO}_2+\\mathrm{CH}_3\\mathrm{O}\\to\\mathrm{CH}_3\\mathrm{ONO}_2$$3\\times10^{-13}$80 d
$\\mathrm{CH_{3}CO(O_{2})+NO_{2}\\rightarrow CH_{3}CO(O_{2})NO_{2}}$(PAN)-several h
$NO_2+hv\\to NO+O$$J=8\\times10^{-3}\\:s^{-1}\\:[a]$2 min
"} {"image_path": "images/2e286d5e65bddfb3a9a2fcac75555222.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Diffraction Plane (hkl)2θ Peak Position (°)Plane Spacing $(d,\\overset{o}{\\text{A}})$
LAPICG/LAPLAPICG/LAP
(001)5.755.2215.3722.48
(02,11)19.6619.484.516.75
(005)28.2227.223.163.27
(20,13)34.5634.442.592.60
"} {"image_path": "images/047d3a23770b16febaf1fdaf57a5cb34.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1984 年1983 年1982 年1981年1980年
Ⅲ .资金结构比率
12. 资产总额除以资本净值20.4%20.4%20.0%19.3%20.9%
13. 后偿债务除以资本净值50.6%51.4%47.6%38.8%45.7%
14. 资本净值等于资产总额减去(现金与应收款加上美国国库券)5.3%5.5%5.5%6.6%-6.0%
15. 未扣利息与税款的收益除以利息费用总额1.0%1.1%1.1%1.1%1.1%
$\\text{ IV.营业费用比率} $
16. 营业费用除以营业收益93.9%90.6%91.8%87.4%83.6%
17. 工薪与职工福利除以营业费用12.2%13.8%16.2%17.8%18.4%
18. 利息费用总额72.3%68.1%64.2%57.2%53.8%
19. 房产使用费用除以营业费用4.2%4.7%5.3%5.5%5.7%
20.(非利息费用减去非利息收益)除以盈利资产2.4%2.2%2.4%2.4%2.2%
V . 获利能力比率
21. 纯收益除以营业收益2.6%3.6%4.2%4.8%5.6%
22. 纯收益除以资产总额0.3%-0.4%0.4%0.4%0.4%
23. 纯收益除以资本净值7.6%8.7%8.6%7.6%9.1%
Ⅵ . 利差比率
24. 利息收益除以盈利资产14.4%12.0%10.3%9.3%8.7%
25. 利息费用除以盈利资产10.7%8.2%6.6%5.3%4.6%
26. 利差净额(24-25)3.7%3.8%3.7%4.0%4.1%
"} {"image_path": "images/840c419d0974a9fa802ec4ee2ad7ca2b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Soilextrac-tion/SolutiontreatmentCu removed (%)Initial EDTA conc.$(g\\ L^{-1})$EDTA conc.afterextraction($(g\\ L^{-1})$)EDTA conc.aftertreatment($(g\\ L^{-1})$)Lost EDTA -extraction (%)Lost EDTA -treatment (%)EDTA extractionpotential (%)
Fresh soil
1.Ext./treat.448.58.48.21.61.6100
2.Ext./treat.328.27.26.1131582
3.Ext./treat.266.15.75.46669
4.Ext./treat.255.45.1/5/69
Continuously extracted soil
1.Ext./treat.448.58.48.21.61.6/
2.Ext./treat.198.27.16.31311/
3.Ext./treat.86.35.65.366/
4.Ext./treat.55.35.0/5//
Total Cu extracted76
"} {"image_path": "images/380ca3c3f64fd44c31b879ad1733d8d1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PavementsBridgesCulvertsTotal
MoneySpentYear 1$\\$13,150,000$$\\$33,270,000$$\\$3,500,000$$\\$49,910,000$
Year 2$\\$21,150,000$$\\$28,590,000$$\\$240,000$$\\$49,970,000$
Year 3$\\$30,770,000$$\\$18,040,000$$\\$1,170,000$$\\$49,980,000$
Year 4$\\$40,380,000$$\\$9,060,000$$\\$550,000$$\\$49,990,000$
Year 5$\\$23,690,000$$\\$23,180,000$$\\$3,120,000$$\\$49,990,000$
Total$\\$129,140,000$$\\$112,130,000$$\\$8,580,000$$\\$249,850,000$
% Allocated of the total budget52$\\%$45$\\%$3$\\%$
No of allocated assets9368597
$\\%$ of Network repaired72$\\%$53$\\%$27$\\%$
Condition before repair1.753.758.32
Condition after repair1.472.1468.49
$\\%$ Improvement$17.65 \\%$$34.34 \\%$17.44%
"} {"image_path": "images/c32bcc31a69953802b2e53149f49750e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Frequency andpolarization Antennatemperature(K) Derivative withincidence angle (K/deg)
6.6 V146.1 2.20
6.6 H79.3-1.16
10.7 V155.7 2.23
10.7 H 86.4-1.09
18 V181.3 2.27
18 H118.3-0.45
21 V216.9 2.08
21 H174.5 0.63
37 V212.5 2.14
37 H156.4-0.01
Parameters Baseline
Surface temperature23℃
Wind speed 0 m/s
Water vapor 40 $\\mathrm{kg/m^{2}}$
Liquid water 0 $\\mathrm{kg/m^{2}}$
"} {"image_path": "images/f548a304305468cc7821a43ae0fdf7ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Throttle position
VSSMBVB
VehiclespeedVSSMBVBVB
SSSMBVB
MVSSSMB
BVSVSVSSM
VBVSVSVSVSS
"} {"image_path": "images/82429fcf2c40cfe7701141c3d15573cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
One PC problem(versus none)Two PCproblemsThree to fourPC problemsFive or morePC problems
Out of pocket expenses >USD 1000 in the past year1.141.31***1.58***2.04***
1.00, 1.301.14, 1.501.38, 1.801.79, 2.34
Emergency room use in past 2 years1.161.68***2.03***2.53***
0.97, 1.391.40, 2.001.71, 2.402.12, 3.01
Three or more doctors in past year1.001.2***1.28***1.74***
0.91, 1.09 1.09, 1.331.17, 1.41 1.58, 1.93
Blood pressure checked in past year0.95***0.93***0.93***0.91***
0.92, 0.970.91, 0.960.91, 0.960.87, 0.94
Cholesterol checked in past year0.95***0.97*0.97*0.92***
0.92, 0.970.94, 1.000.93, 0.990.88, 0.95
Flu shot in past year0.940.970.89**0.85**
0.88, 1.010.90, 1.050.83, 0.970.78, 0.94
Report of any medical error1.56*2.17***3.8**6.64***
1.19, 2.051.65, 2.852.96, 4.885.19, 8.51
"} {"image_path": "images/f60aa91b314edcc17cea5ef48dd011d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
制动初速 加 算 坡 度 千 分 数
0-2-4-6-8-10-12-14-16-18-20
1501 2251 2571 2911 3261 3621 3991 4391 480
1451 1461 1761 2081 2401 2741 3091 3461 3841 4251 467
1401 0701 0981 1271 1571 1891 2221 2561 2921 3291 369
1359961 0221 0491 0781 1071 1371 1691 2021 2371 274
1309259499741 0011 0281 0561 0861 1161 1491 182
1258568799029279529781 0051 0341 0631 095
1207918128338568799039289549821 0101 040
115728747767787809831854878903929957
110667685703722742762783805828852877
105610626643660678696716736757778801
100555570585601617634651669688708729
95503516530544559574590607624641660
90453465478491504518532547562578595
85407417429440452465477491504519533
80362372382393403414426438450462476
75321330339348357367377388399410421
70282290298306315323332341351360371
65246253260267275282290298306315323
60213219225231237244251258265272280
55182187192198203209215221227233239
50154158163167172177181186192197220
45128132135139143147151155160164169
40105108111114117121124127131135138
3584868991949799102105108111
306567697173767880828587
"} {"image_path": "images/80fcc56da26b161a6d7e3e772e8728eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Residualstress (MPa)Number of grid pointsfor finite-difference method
6102040100
L = 350 $\\mu m$017.519.22020.220.2
10032.234.235.235.735.7
- 2510.512.513.213.413.4
L = 250 $\\mu m$034.137.538.939.539.5
10051.154.756.557.357.3
- 252831.532.933.433.4
"} {"image_path": "images/14534a8965d7a3892322ac8bbb74230e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample No.Reaction temperature $\\left({ }^{\\circ} \\mathrm{C}\\right)$Reactiontime (h)$Structure^{a}$
$T_{I}$$T_{G}$
11001100.5$st. ~3 ~\\mathrm{FeCl}_{3}-GIC, ~A$
21001102A
31001106A, B, X
410011014A, B, X
510711714$B, X, st. 1~ \\mathrm{AlCl}_{3}-\\mathrm{GIC}$
611512514$\\mathrm{X}, st. ~1 ~\\mathrm{AlCl}_{3}-\\mathrm{GIC}$
714015024$st. ~1~ \\mathrm{AlCl}_{3}-\\mathrm{GIC}$
"} {"image_path": "images/e565f7c1ea31a8b62f0bbba3201d09a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Compound$V_{o}$ab
$C_{3}H_{8}$74.7 - .3t'.31 + .0016t'.10 + .0006t'
$C_{4}H_{10}$68.6 - .23t'.26 + .0025t'.085 + .0011t'
$C_{5}H_{12}$54.1 - .06t'.11 + .0008t'.041 + .0002t'
$C_{6}H_{14}$50.3 - .027t'.037 + .0014t'.012 + .0005t'
n $C_{8}H_{18}$48.9 - .05t'.032 + .0006t'.01 + .00027t'
i $C_{8}H_{18}$49.5 - .07t'.065 + .0003t'.024 + .0001t'
$C_{6}H_{6}$33.3 - .045t'.032 + .0005t'.012 + .0002t'
"} {"image_path": "images/b57faa30969907d5c3a3f437c594538b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Station no.Content, %
FeMnZnNiCuPbMoBa
53.800.6770.0180.00630.00470.00170.00030.0953
72.383.7000.0260.01200.00500.00100.00020.1200
84.250.2800.0210.00900.00600.00200.00020.1280
92.440.1000.0200.00600.00400.00200.00020.1000
102.370.1800.0200.00670.00470.00170.00030.1053
113.370.0500.0110.00450.00450.00200.00040.0910
133.060.8400.0210.00800.00550.00200.00050.0553
163.512.5500.0220.01000.00500.00200.00020.1060
172.890.4200.0260.01000.00500.00100.00070.1030
93122.440.0230.0090.00430.00210.00100.00090.0805
821062.800.039-----0.0723
821563.770.046-----0.0663
821571.400.015-----0.0756
821582.120.015-----0.0692
9363.080.3040.0180.00410.00330.00110.00020.1059
9372.360.2800.0260.01080.00480.00120.00040.1028
GE99-122.180.0260.0070.00270.00220.00120.00050.0360
GE99-292.710.0320.0080.00250.00250.00080.00190.0478
GE99-303.550.1060.0180.00490.00420.00100.00090.0848
GE99-312.930.7740.0220.01230.00490.00200.00040.1200
H7-9864.340.0460.0100.00400.03000.00300.00010.0100
H7-9883.561.6810.0150.00600.00800.00200.00020.0999
H7-9912.430.0740.0090.00300.00400.00150.00020.0381
k784.470.139------
k803.780.186------
LV27-23.040.0510.0110.00380.00340.00140.00040.0993
LV27-43.170.0360.0080.00290.00120.00120.00030.0470
LV27-63.450.0390.0090.00360.00190.00150.00050.0686
LV27-74.000.1450.0170.00770.00510.00240.00080.0730
LV29-823.170.0260.0090.00230.0026--0.0398
LV29-943.470.0310.0090.00310.0023--0.0537
LV29-1033.263.3100.0210.00910.0064--0.0876
LV29-1044.320.7720.0190.01050.0060--0.0970
"} {"image_path": "images/69b815a8c07c5dfc90cbdb897cf54fe6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\frac{\\partial \\theta}{\\partial x}=\\frac{-\\cos \\theta}{2 L}+\\frac{\\sin \\theta}{2 L \\tan \\chi}+\\frac{\\sin \\theta}{L \\tan \\kappa_r^{\\prime}}$$\\frac{\\partial L}{\\partial x}=-\\frac{\\cos \\theta}{2 \\tan \\chi}-\\frac{\\cos \\theta}{\\tan \\kappa_r^{\\prime}}-\\frac{\\sin \\theta}{2}$$\\frac{\\partial A}{\\partial x}=-L \\cos \\theta$
$\\frac{\\partial \\theta}{\\partial x_\\tau}=\\frac{-\\cos \\theta}{2 L}+\\frac{\\sin \\theta}{2 L \\tan \\chi}$$\\frac{\\partial L}{\\partial x_\\tau}=\\frac{-\\sin \\theta}{2}+\\frac{\\cos \\theta}{2 \\tan \\chi}$$\\frac{\\partial A}{\\partial x_\\tau}=L \\cos \\theta-c$
$\\frac{\\partial \\theta}{\\partial y}=\\frac{\\tan \\chi \\cos \\theta}{2 L}+\\frac{\\sin \\theta}{2 L}$$\\frac{\\partial L}{\\partial y}=-\\frac{\\cos \\theta}{2}+\\frac{\\tan \\chi \\sin \\theta}{2}$$\\frac{\\partial A}{\\partial y}=-L \\sin \\theta$
$\\frac{\\partial \\theta}{\\partial y_\\tau}=-\\frac{\\tan \\chi \\cos \\theta}{2 L}-\\frac{\\sin \\theta}{2 L}$$\\frac{\\partial L}{\\partial y_\\tau}=\\frac{\\cos \\theta}{2}-\\frac{\\tan \\chi \\sin \\theta}{2}$$\\frac{\\partial A}{\\partial y_\\tau}=L \\sin \\theta$
"} {"image_path": "images/aa04bb8f858c88a5ca577e06f29be20f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
能源名称计量单位代码能源消费量合计能源活动水平温室气体
$ CO_{2}(\\text { 吨 }) $$ CH_4 (千克) $
原煤C11,189,2321,189,2322,126,824224,452
洗精煤C21,524,604000
其它洗煤C30000
煤制品C40000
#型煤C50000
水煤浆C60000
煤粉C70000
焦炭C82,138,9942,138,9945,927,686589,262
其他焦化产品C90000
焦炉煤气万立方米1034,78534,785296,4986,015
高炉煤气万立方米11760,892000
其他煤气万立方米1216,877000
天然气万立方米130000
液化天然气140000
原油150000
汽油161,5001,5004,394194
煤油170000
柴油184,0654,06512,599521
燃料油190000
液化石油气207,4657,46523,180375
炼厂干气210000
其他石油制品220000
热力百万千焦231,000800942,780
电力万千瓦时24165,67636,611243,5112,819
其他燃料吨标准煤25
#煤矸石吨标准煤26000
生物质能吨标准煤270000
工业废料吨标准煤28000
城市固体垃圾吨标准煤29000
直接排放(范围一)8,391,183820,820
供热和电力的间接排放(范围二)243,6052,781
生物源的$CO_2$排放量0
范围一和范围二总和(不包括生物源)8,634,788823,600
"} {"image_path": "images/c126a73a0406b01b4e9c022f7f4604ef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
KnottypeJones polynomial$\\Delta_{K}(-1)$
secondderivativethirdderivativefourthderivative
3$_1$-12-3655-3
4$_1$12-12315
5$_1$-36-204-6455
5$_2$-24-120-326-7
6$_1$2424869
6$_2$1236103-11
6$_3$-1212-7913
7$_1$-72-6002874-7
7$_2$-36-2521005-11
7$_3$-60-468-205113
7$_4$-48-336-1276-15
7$_5$-48-336-137217
7$_6$-12-84-223-19
7$_7$0243621
8$_1$3610835713
8$_2$04830877
8$_3$48-4831817
8$_4$3612213-19
8$_5$1213263121
8$_6$24120422-23
8$_7$-24-72-254-23
8$_8$-24-24-18225
8$_9$24-2420625
8$_{10}$-36-108-309-27
8$_{11}$1284367-27
8$_{12}$36-3623729
8$_{13}$-12-36-15129
8$_{14}$0096-31
8$_{15}$-48-228-82033
8$_{16}$-12-36-151-35
8$_{17}$12-1212737
8$_{18}$-12121745
8$_{19}$-60-420-1595-3
8$_{20}$-24-72-1589
8$_{21}$048264-15
"} {"image_path": "images/fd9a4545093c5159fefaa4cdfc459b66.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Replacement/No.$\\mathrm{SiO}_2$$\\text{TiO}_2$$\\mathrm{Al}_2\\mathrm{O}_3$$\\text{Fe}_2\\text{O}_3\\text{_tot}$MgOCaO$\\text{Na}_2O$$\\mathrm{K}_2\\mathrm{O}$$\\mathrm{P}_2\\mathrm{O}_5$
Additive
276.26750.019814.10751.15750.02750.97753.30754.11750.0175
375.67450.025913.30062.53030.06251.12163.15974.09890.0259
476.33410.029613.59431.73380.02961.16423.40253.68220.0296
$1^{*}$75.28850.029614.42421.63970.02960.92772.90314.72800.0296
Simple
276.19380.099914.09591.15880.03000.97903.30674.11590.0200
375.53080.099813.28152.53270.06981.12673.16084.09810.0998
476.12060.099713.56841.74340.09971.17553.40703.68600.0997
$1^{*}$75.07810.099714.39581.64950.09970.93972.90924.72860.0997
Multiplicative
276.19370.100014.09591.15880.03000.97903.30674.11590.0200
375.53050.100013.28142.53260.06981.12673.16084.09810.1000
476.11990.100013.56831.74340.10001.17553.40703.68600.1000
$1^{*}$75.07740.100014.39571.64950.10000.93972.90914.72860.1000
"} {"image_path": "images/aa0ece4e052dcc9482109ab4d07a6ca2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
KCl$k'×10^5$,$sec.^{-1}$$Pb^{++}{}_{total}$,m[$Pb^{++}$],m
SolubilitydataKineticdata
0.003.600.0460.0460.046
.250.91.048.016.018
.50.31.048.007.0094
.75.18.048.003.0070
1.00.043.048.0013.0030
"} {"image_path": "images/6aa3f13e0e5ce509202a11fd31f9ac4c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Year of calibrationChamber typeCalibration factor $N_K$$(mGy~nC^{-1})$Calibration factor $N_{D,w}$$(mGy~nC^{-1})$
SSDLIAEA$\\Delta ~(\\%)^a$SSDLIAEA$\\Delta ~(\\%)^a$
1995NE 2581 (#334)52.2852.41-0.2557.2056.790.72
1997NE 2581 (#334)52.4052.94-1.0257.0857.070.02
1998NE 2571 (#1028)41.2141.34-0.3145.3345.39-0.13
2002M 3001 (#1827)47.8747.790.1752.4652.350.21
2004M 3001 (#1827)47.9147.830.1752.5252.350.32
"} {"image_path": "images/21eaa23865931191c535509aafa19d3e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleMoistureFatProteinAshTotal CarbohydrateStarch
2.0-mm mill screen
Unsieved flour $10.50 b c^{b}$ 0.75a $23.66 c$ 3.72a61.37a35.58a
0.297-mm sieve10.63bc0.52a23.28c3.76ab61,81a36.46ac
0.149-mm sieve $9.60 a-c$ 1.12cd25.49c3.97bc59.83ab34.49ab
Collecting pan10.27bc1.01b-d22.42bc3.61a62.70a44.71d
$1.0-\\mathrm{mm}$ mill screen
Unsieved flour9.10ab0.81b23.63c3.75ab62.71a $40.66 c$
0.297-mm sieve9.33a-c0.82bc24.40c3.92bc61.51a35.99a
0.149-mm sieve8.93ab1.10cd26.29a4.10bc59.58 b36.37a
Collecting pan8.66a1.07cd22.66c3.63a63.97a48.37ef
$0.5-\\mathrm{mm}$ mill screen
Unsieved flour9.30ab1.16cd23.40c3.76ab62.38a51.99f
0.297-mm sieve9.13ab$0.96 \\mathrm{~b}-\\mathrm{d}$25.36c4.00bc60.55a49.07ef
0.149-mm sieve8.50a1.18cd25.08c4.05bc61.20a39.15c
Collecting pan8.70a1.22cd23.02c3.67ab63.38a47.29e
"} {"image_path": "images/711389ab7be48bfb3e613a8a4a065c49.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$logN_f$$log_(\\Delta \\varepsilon-\\Delta \\varepsilon_f)$11.5234
52100-1.123-1.436-1.7971-2.1667-2.877
AM350(S)-1.147-1.486-1.796-2.005-2.301
2014-T6-0.907-1.156-1.426-2.007-2.236
4130H-0.526-0.856-1.436-1.975-2.436
4130S-0.736-0.985-1.345-1.945-2.256
AM350(H)-1.159-1.348-1.512-2.138-2.710
5456-H311-0.980-1.205-1.589-1.923-2.438
Inconel X-1.069-1.168-1.482-2.031-2.568
304H--0.956-1.289-1.823-2.217
304S--1.192-1.358-1.986-2.312
310S-0.652-0.896-1.296-1.705-2.182
1100AL-0.415-0.795-1.023-1.587-2.389
4340H-0.684-1.026-1.016-1.623-2.261
4340S-0.672-0.851-1.215-1.667-2.415
Ti-6A1-4V-0.618-0.789-0.963-1.489-1.826
"} {"image_path": "images/9771820eb7eda895afb608514bd51448.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PerformanceMethodTiming ComplexityArea Complexity
Initial clock latency(input to first output)Critical PathOutput Latency
BBS [12]2$n$+5 clock$2(T_{2oa}+T_{mux})$2$n$+5 clock$2A_{3oa}+A_{2oa}+A_{mux4}+3A_{mux2}+4_{reg}+A_{FSM}$
CLCG1 clock$T_{3oa}+T_{mux}$1 clock$2A_{LCG}+A_{cmp}=2(A_{3oa}+A_{mux}+A_{reg})+A_{cmp}$
Dual-CLCG$2^{n}$ clock$T_{3oa}+T_{mux}$2 clock$4(A_{3oa}+A_{mux}+A_{reg})+2A_{cmp}+A_{tri}+A_{mem}+A_{FSM}$
Proposed PRBG Method1 clock$T_{3oa}+T_{mux}$1 clock$4(A_{3oa}+A_{mux}+A_{reg})+2A_{cmp}+A_{X}$
"} {"image_path": "images/e66c07c1d933fcbcecfa3484c7abc0ad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Carbonaceous materialsDischarge capacity $(mA\\ h\\ g^{-1} )$Charge capacity in different cycle $(mA\\ h\\ g^{-1} )$
12050100
Natural graphite611385343327327
$C_{22} Cu$449395392390390
$C_{24} Cu$463417410407407
$C_{30} Cu$491408406406406
$C_{22} Fe$398398396396396
$C_{24} Fe$412412408403403
$C_{30} Fe$433433430429429
"} {"image_path": "images/4c6cf929b500b56b43d11e5498e94d06.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Annihilation-backward phonons
$\\begin{array} {c}\\Delta E_i/E_i \\\\ (\\%) \\end{array}$$w_{\\mathrm{slit}}$(mm)$\\Delta\\theta_{i}$(°)$\\Delta\\theta_{f}$(°)$L_{\\mathrm{ion}}$(mm)$\\Delta E_{f}/\\hbar\\omega_{\\max}$(meV)
43.22.81.9244.2
21.61.40.9122.1
10.81.70.561.1
$3.2^{a}$$1.5^{a}$$0.30^{a}$$0.22^{e}$$1.5^{a}$$2.39^{a}$
Creation-forward phonons
45.31.72.9282.4
22.60.81.5141.2
11.30.40.770.6
$3.2^{a}$$1.5^{a}$$0.72^{a}$$0.22^{a}$$1.5^{a}$$1.05^{a}$
"} {"image_path": "images/5b3e38de4fd0f924b2c2c3636a8114d4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CatalystXRDTextural propertiesMaximumyield (%)
Unit cell$\\text{parameter (Å)}^a$Crystallite$\\text{size (nm)}^a$$\\text{Structure}^a$Surface area$~ ~ (\\mathrm{m}^2/\\mathrm{g})$Pore volume$~ ~ (\\mathrm{cm}^3/\\mathrm{g})^b$ Average porediameter $(\\mathrm{nm})^c$
CZA5.423.70Cubic770.1507.568
CZS6.293.90Cubic1040.1876.377
CZT5.383.05Cubic610.1086.423
"} {"image_path": "images/8c6a92e6cf211bc828435013e8471edc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Uranium (mg)Metal (mg)
TakenFoundTakenFound
1.9041.9012.955 Au2.950
1.9041.9001.915 Pd1.912
1.9041.9012.536 Pt2.533
1.9041.9031.299 Cr1.294
1.9041.9001.122 V1.120
1.9041.9011.340 Fe1.336
1.9041.8991.398 Cu1.393
1.9041.9002.800 Sb2.785
1.9041.9011.948 As1.941
"} {"image_path": "images/cf3f7aa3f30d8d7215f4a946394ff408.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份类 别199719981999
头孢类55.3453.8652.04
青霉素类18.4517.2417.09
喹诺酮类11.1111.8313.25
大环内脂类8.689.4010.19
氨基糖苷类3.183.603.17
四环素类0.470.410.36
磺胺药0.090.090.08
氯霉素类0.010.010.01
其他抗菌药2.663.563.82
"} {"image_path": "images/cbb3d4aa01fc9fe54fa47afb0280466d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DeMartini 1963Various750-1000 ft. cdls.DaylightNormal (San Fran-cisco area)
Dungal 1951Various100 watt bulb12-16 ft. fromflasksIncandescent
Ernst 1966aDendrobiumphalaenopsisFitzgerald600-1000 ft. cdls.Daylight
Griffith &Link 1957Cattleyaskinneri,Cattleyamossiae675-725 ft. cdls.Provided by three 40 watt warm whitefluorescent bulbs and three 40 wattwhite, inside-frosted incandescent lightbulbs12 hours. Between6 P.M. and 6 A.M.
Hager 1954Cattleya200 ft. cdls.Gradually increased following germina-tion to 400 ft. cdls.16 hours
Halpin &Farrar 1965Cattleya,Laelioattleya,Brassocattleya,Vanda40 watt lamps,16 inches fromplantsWide spectrum Gro-Lux,Gro-Lux, warm white, cool white16 hours
Hamilton 1965CymbidiumGro-Lux
Hey 1966aVarious, \"rare\"Warm white fluorescent
Hill 1961a, b,1965Various150-200 ft.cdls. at first,300-400 ft.cdls. followinggermination
Ilsley 1966Various900-1000 ft. cdls.Natural daylightNatural daylength
Kano 1965PaphiopedilumcallosumDim light better than darkness
"} {"image_path": "images/cd3526daa257bc6d5b072e36a3276300.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\sigma_{\\text {int }}\\left({ }^{11} \\mathrm{Li}+\\mathrm{T}\\right)$$\\sigma_{-2 n}\\left({ }^{11} \\mathrm{Li}+\\mathrm{T}\\right)$
Exp.Theor.Exp.Theor.(elastic)Theor.[optical limit]
P276±1027365 (29)65
Be980±20968218(35)280
C1060±101040220±10241(48)330
Al1560±401480335(72)550
Cu2550±2202240520±40455(100)780
Pb5380±64038901310±100665(150)1200
"} {"image_path": "images/5c70a35d4944fff71286a66bc737fd6b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
零 件钢材选用热处理要求说 明
动、定模座板、上、下模座板、动、定模板、上、下模板、支承板、模套、垫块45 钢、S50C不进行热处理或调质至$230 \\sim 270 \\mathrm{HBS}$
浇口套、拉料杆、分流锥$\\begin{array}{l}\\mathrm{T} 10\\mathrm{~A}、9\\mathrm{Mn} 2\\mathrm{~V}、\\\\\\ \\ 7\\mathrm{CrSiMnMoV}\\end{array} $ 淬硬$50 \\sim 55 \\mathrm{HRC}$
导柱、导套、推板导柱、推板导套20 钢 渗碳淬硬56~60HRC
T8A、7CrSiMnMoV 淬硬50~55HRC
斜销、滑块、锁紧楔 T8A、7CrSiMnMoV 淬硬$54 \\sim 58$ HRC
推杆、推管 T8A、7CrSiMnMoV 淬硬54~58HRC
复位杆45 钢 淬硬43~48HRC
推杆固定板、推板45 钢
加料室、柱塞T8A、 $7 \\mathrm{CrSiMnMoV}$ 淬硬50~55HRC
"} {"image_path": "images/48a1a7da4ffc44ebf0ba91469d6bfa27.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Pooling regionDuration (days)GEV parametersL-moment ratios
$\\xi$αkL-CVL-skewnessL-kurtosis
SWE10.9210.231-0.1210.1660.2500.178
20.9330.216-0.0960.1530.2330.181
50.9370.1910.0110.1250.1630.167
100.9510.1850.0680.1160.1270.143
SEE10.8970.247-0.1470.1850.2680.207
20.9120.224-0.1690.1720.2830.226
50.9050.21-0.0630.1490.2110.185
100.9240.22-0.0230.1480.1850.166
CEE10.9180.27-0.0850.1860.2260.169
20.9320.252-0.0850.1720.2260.160
50.9430.243-0.0220.1580.1840.130
100.9320.2220.0380.1420.1460.128
NWE10.8990.218-0.1030.1600.2380.183
20.9230.213-0.0790.1500.2220.170
50.9330.185-0.0550.1290.2060.190
100.9350.1720.0120.1140.1620.188
NEE10.8970.27-0.0640.1860.2120.155
20.9150.296-0.0140.1900.1790.138
50.9250.251-0.0360.1670.1930.155
100.9310.223-0.0430.1500.1980.140
NI10.9050.228-0.1540.1730.2730.193
20.9290.245-0.0850.1700.2260.163
50.9470.207-0.0330.1380.1910.129
100.9650.171-0.0060.1120.1740.147
NS10.9270.23-0.0230.1540.1850.158
20.9170.2210.0080.1460.1650.166
50.9490.2040.0340.1290.1480.168
100.9550.1930.0570.1200.1340.151
SS10.9430.199-0.0360.1340.1930.162
20.9510.188-0.0370.1270.1940.193
50.9620.184-0.0060.1200.1740.168
100.9630.1830.0920.1110.1120.143
ES10.9370.256-0.0540.1710.2050.175
20.940.255-0.0370.1560.1790.137
50.9380.246-0.0540.1640.2050.156
100.940.235-0.0450.1570.1990.176
"} {"image_path": "images/7df1391267b79b5eef9f9d97c1a1a613.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
QuantitySymbolUnitValueStandarduncertainty
Concentration of the solution 1$C_{1}$mg $L^{-1}$0.500.00
Concentration of the solution 2$C_{2}$mg $L^{-1}$1.000.00
Concentration of the solution 3$C_{3}$mg $L^{-1}$2.000.01
Concentration of the solution 4$C_{4}$mg $L^{-1}$3.000.01
Concentration of the solution 5$C_{5}$mg $L^{-1}$4.000.01
Concentration of the solution 6$C_{6}$mg $L^{-1}$5.000.02
Concentration of the solution 7$C_{7}$mg $L^{-1}$6.000.02
Concentration of the solution 8$C_{8}$mg $L^{-1}$7.000.02
Peak area of the reference solution 1$A_{1}$$-$5143776
Peak area of the reference solution 2$A_{2}$$-$98583204
Peak area of the reference solution 3$A_{3}$$-$200037151
Peak area of the reference solution 4$A_{4}$$-$305822312
Peak area of the reference solution 5$A_{5}$$-$418793315
Peab kea of the reference solution 6$A_{6}$$-$531318712
Peak area of the reference solution 7$A_{7}$$-$645226716
Peak area of the reference solution 8$A_{8}$$-$767727295
Peak area of the sampleA$-$5371235371
RecoveryR$-$10.014
Dilution factor$F_{dil}$$-$50.01
Nitrate concentration$X_{ref}$mg $L^{-1}$21.5$0.4^{a}$
"} {"image_path": "images/03ec14aef0e012cd42708b9e18d95016.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ConditionITERCTFDEMO
$\\begin{aligned}&\\text{14-MeV neutron flux through}\\\\&\\text{chamber surface, }\\Gamma_{\\mathrm{n}}\\\\&(10^{13}\\mathrm{n/s/cm}^{2})\\end{aligned}$~2.6>4.4~18
$\\begin{aligned}&\\text{14-MeV neutron heat flux}\\\\&\\text{through chamber surface}\\\\&(\\mathrm{W/cm}^{2})\\end{aligned}$~60>100~400
Depth of energetic (>1 keV)neutron-material interactions(cm)~50>50~50
Transverse spatial scale ofinterest to energetic (>1 keV)neutron-material interactions(cm)~1000~500~1000
Total chamber systemsdisplacement per atom, dpa~3$\\le60$~60
Dpa per full-flux-year, D~6>10~40
Duration of sustained neutroninteractions (s)$\\sim10^{3}$$>10^{6}$$\\sim10^{7}$
Tritium self-sufficiency goal(%)~?~90>100
Duty factor, $F_D$ (%)2.53075
"} {"image_path": "images/053a5527e0983a9dec6ed6960bfdfba7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SchemeScheme1Scheme2
DistrictABCDABCD
Service provider131929131929
Spatial units11,12,13,16,1715,18,19,201,2,3,6,7,84,5,9,10,148,11,12,13,16,1714,15,18,19,201,2,3,6,74,5,9,10
Total demand of district96829682115917773
Service distance of service provider1,121.7786.001,054.9649.501317.40876.00817.4556.80
Maximum demand difference1442
Total service distance3,612.103,567.60
Total cost7,946.627,563.30
"} {"image_path": "images/cc0d4ceb2ec10b38a3fa991aefa45607.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.Test problemOptimum solutionNNA solutionGap (%)
P$(\\Sigma_{p}O_{p})$×M×H$T_m$UBObjectiveCPU timeCell sizeObjectiveCPU timeCell size
15(9)×5×37,000472,60200:16:241-1-286,00000:02:422-1-218.4
26(13)×6×25,000436,04400:01:512-239,94500:16:182-210.8
37(12)×6×23,000367,23400:00:563-367,99500:00:073-31.13
47(12)×6×24,000457,98900:01:042-263,89500:02:432-310.1
57(12)×6×25,000449,52500:00:312-251,79000:07:152-24.57
67(12)×6×27,000440,77500:00:112-245,23000:06:302-210.9
77(19)×7×212,000560,72001:30:062-271,25000:11:062-217.34
87(19)×7×215,000552,25000:07:231-165,39000:16:182-225.14
97(19)×7×215,000454,19000:15:221-270,89000:16:182-230.81
108(18)×7×26,000461,01000:28:162-268,47000:09:062-312.22
118(18)×7×28,000450,31400:01:301-255,77000:15:302-210.84
128(18)×7×28,000350,31400:01:572-257,93000:15:122-315.13
138(18)×7×210,000445,55200:00:421-153,52000:06:361-217.49
148(14)×7×26,000551,74400:13:302-258,00000:06:122-212.08
158(14)×7×26,000451,74400:20:562-259,61500:15:131-215.21
168(14)×8×28,000542,20800:07:502-247,00000:00:592-211.35
178(14)×7×210,000541,16300:09:252-244,16000:09:242-27.28
189(29)×8×28,000460,62400:28:562-271,95400:08:202-218.68
199(29)×8×210,000453,46900:06:322-264,16500:00:402-220
209(29)×8×212,000450,77100:01:492-262,11800:07:002-222.34
219(29)×8×215,000449,26300:01:001-259,12000:07:302-220
2210(23)×9×210,000550,28000:35:362-265,22500:14:452-323.75
2310(23)×9×215,000546,81000:29:132-259,40000:00:453-226.89
"} {"image_path": "images/4317f1bea6c4b3fbffabb01cfd3eb18c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Acquisition protocolsEnergyPMMAthicknessSlicethicknessPixelsizeNumber ofprojectionsDoseCTDI
(cm)(mm)(mm)(一)(mGy)
Conventionalclinical CTStandard head (patient)120 kVpn.a.1.250.44n.a33
250 mA
Inner ear (phantom)120 kVpn.a.0.6250.44n.a183
350 mA
SR-CTPatient acquisition80 keV14.520.35102493
191 mA
$\\begin{array}{l}\\text { ‘Low dose' (phantom) } \\\\ \\end{array}$80 keV180.6250.3534014.8
"} {"image_path": "images/512053545417c5f12036bd7bbef66b42.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
亥卯未年马癸巳阳贵人丁酉阴贵人己亥
正月
二月
三月
四月
五月
夏至后
六月
七月
八月
九月
十月
十一月
冬至后
十二月
"} {"image_path": "images/48939be3e2ee0a53ae6f8bda24e34903.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
p\\n123456
20.8790.6270.5200.4690.3870.365
40.9100.7450.6700.6490.6600.670
80.9330.8470.8180.8310.8470.863
160.9570.9240.9180.9280.9320.953
320.9750.9690.9650.9690.9700.991
640.9880.9880.9850.9860.9860.991
"} {"image_path": "images/b50224b3182b881af0b6bd7f20c9ad04.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
药 名途 径剂 量备 注
4米雅 APO1/3~1/2包,每日3次 本品主要成分为宫人菌芽孢,宫人菌能与双歧杆菌及乳酸杆菌等肠内有益菌共生,能产生低聚糖等促进双歧杆菌发育的因子,有一定的抗药性,可与抗生素同服
5金双歧片PO1/3~1/2片,每日3次 合双歧杆菌、乳酸杆菌和粪链球菌,属人体肠道内正常菌群,忌与抗生素同服。藏于冷及干燥处
6黄 连 素(Berberin)PO10mg/kg·d 为广谱抗菌药物。对多种革兰阳性菌和阴性菌均有抑制作用,包括溶血性链球菌、金黄色葡萄球菌、脑膜炎球菌、肺炎球菌、霍乱弧菌、炭疽杆菌、白喉杆菌、痢疾杆菌、弯曲杆菌及阿米巴原虫均有一定抑制作用,其中溶血性链球菌、金黄色葡萄球菌、痢疾杆菌对本品易产生耐药性副作用:口服不良反应较少而轻,偶见恶心、呕吐、皮疹和药热,停药后可消失
710% 葡 萄糖 酸 钙(10%Calci-um glu-conate)POIV0.5~1g/d第1次1~2ml/kg,静脉慢注1ml/min,必要时6~8小时后重复1次(总钙量可达每日25~35mg/kg),交换输血时每次0.1g(10% 1ml) 10%葡萄糖酸钙,相当于9mg/ml元素钙副作用:静脉外溢时引起组织坏死
8硫酸镁溶液(Magne-sium sulfatesolution)IM25%溶液0.2~0.4ml/kg(早产儿不用 IM) 镁缺乏时一般注射1~4次惊厥即止副作用:镁过量时表现深反射消失、呼吸抑制,此时即刻静注10%葡萄糖酸钙2ml/kg
IV2.5%溶液2~4ml/kg,速度每分钟不超过 1ml
PO10%溶液每次1~2ml/kg,每日2~3次
"} {"image_path": "images/78bb594a1794c08589e42b2361935ba5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Density dependence in modelModel designation$\\beta$No. post-larvaeNo. juveniles
FecundityF0.0691.20.36
Juvenile mortalityM1$2.0×10^{-3} $9219
Post-larval and juvenile mortalityM2$5.1 × 10^{-4} $920.53
Juvenile growthG1$2.2×10^{-3} $9274
Juvenile growth(effective density = biomass)Gb1$2.2×10^{-4}$9274
Growth: post-larvae, juveniles and first adult size classG2$5.9 × 10^{-4}$1050.75
Growth of post-larvae, juveniles and first adult size class(Effectivedensity = biomass for juvenile and adult growth)Gb2$8.1 × 10^{-5}$527.5
As above,but growth of post-larvae depends on juvenile biomassGb3$7.5×10^{-5}$546.9
"} {"image_path": "images/fd0ec7343e9a405b9e7cfd19c665481c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Axis of ComparisonSystems Comparedn$V_{f}(\\mathrm{m\\ y}^{-1})$SD
Overall mean245.77.8
Trophic StatusEutrophic1011.2*6.7
Non-eutrophic141.8*6.1
System typeLakes154.03.7
Reservoirs98.611.6
Surface Area>50 $\\mathrm{km}^{2}$94.311.4
<50 $\\mathrm{km}^{2}$156.54.9
LatitudeBoreal93.23.5
Temperate147.29.6
Tropical16.9N/A
"} {"image_path": "images/5d139e2dfcfe02606b12bccf8036379b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temperature/K293.15298.15303.15308.15313.15318.15
EG
$\\bar{v}_{2,0}\\times10^{23}\\mathrm{~cm}^{3} \\cdot molecule^{-1}$9.18139.19469.21129.22129.24449.2693
$\\nu_2^{0}\\times 10^{23}\\mathrm{~cm}^3\\cdot\\text{ molecule}^{-1}$ 9.32279.31689.31099.30519.29929.2933
$\\bar{\\nu}_{2,0}/\\nu_{2}^{0}$ 0.98480.98690.98930.99100.99410.9974
$\\bar{v}_{2.0}^{\\mathrm{exc}}\\times10^{24}\\mathrm{~cm}^{3} \\cdot molecule^{-1}$-0.1414-0.1222-0.0997-0.0839-0.0548-0.0240
DEG
$\\bar{v}_{2,0}\\times10^{23}\\mathrm{~cm}^{3} \\cdot molecule^{-1}$15.199315.2109 15.2491 15.2707 15.315515.3770
$\\nu_2^{0}\\times 10^{23}\\mathrm{~cm}^3\\cdot\\text{ molecule}^{-1}$ 15.860415.850015.839615.829215.818915.8085
$\\bar{\\nu}_{2,0}/\\nu_{2}^{0}$ 0.95830.95970.96270.96470.96820.9727
$\\bar{v}_{2.0}^{\\mathrm{exc}}\\times10^{24}\\mathrm{~cm}^{3} \\cdot molecule^{-1}$-0.6611-0.6391-0.5905 -0.5585-0.5034 -0.4315
TEG
$\\bar{v}_{2,0}\\times10^{23}\\mathrm{~cm}^{3} \\cdot molecule^{-1}$21.250421.321821.350021.381621.423121.5128
$\\nu_2^{0}\\times 10^{23}\\mathrm{~cm}^3\\cdot\\text{ molecule}^{-1}$ 22.292022.276522.261022.245522.230022.2146
$\\bar{\\nu}_{2,0} / \\nu_{2}^{0}$0.95330.95710.95910.96120.96370.9684
$\\bar{v}_{2.0}^{\\mathrm{exc}}\\times10^{24}\\mathrm{~cm}^{3} \\cdot molecule^{-1}$-1.0416-0.9547-0.9110-0.8639-0.8069-0.7018
"} {"image_path": "images/e28e0e13af17b629730d3b081a65b46e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
デ ー タ 分 類陸域を主な対象とするもの海岸線を主な対象とするもの海域をな对とするもの
自 然 条 件気 象 条 件
地 象 条 件平均高度, 起伏值, 平均斜度, 土地条件砂浜規模, 水際線形状, 河川規模,浅海干潟, 陸域勾配, 表層地質, 地形分類, 土壤分類, 海岸形状, 海浜性状, 侵食状況
海 象 条 件海域勾配,潮位平均深度,海底地質,暗礁,瀬,離岸距離,航路
生 物 環 境保安林延長
社 会 条 件空 間 利 用土地利用現況,指定公園民有地率漁業榷,航路航行義務区
立 地 施 設県営種苗センター, 漁港, 防波堤防潮堤, 臨海工業施設, 港湾施設率マリーナ, 海水浴場, 公共施設, レクリエーション施設人口種苗共同生産施設, アサリ種苗放流位置, 送電線, 送油管,シーバース・ノリ養殖場
資 源$\\begin{pmatrix}\\text{文}& \\text{化} \\\\\\text{天}& \\text{然}\\end{pmatrix}$史跡天然記念物漁場, 藻場
環 境 条 件地盤沈下,水質基準,鳥獣保護区透明度, PH, COD, DO, 塩分量,総チッソ量
交 通 条 件名古屋までの時間距離,主要都市までの時間距離,主要港湾までの時間距離
災 害高潮災害,津波災害
法 律 関 連
人間活動条件人 口 条 件総人口, 流入人口, 労働力人口, 就業者数, 業種別人口, 世帶数人口集中地区域,背後地人口
產 業 活 動漁業經常体
生 活 条 件
そ の 他|ァーツ・データ
"} {"image_path": "images/1cadc5dfbcb86342e0aaeda19fdbf173.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Guidelines for Choosing Valve Characteristics
ProcessApplicationBest Inherent Characteristics
PressureLiquid PressureEqual Percent
Gas Pressure, Small VolumeEqual Percent
Gas Pressure, Large VolumeMax $\\Delta P$ Less than 5X Min $\\Delta P$Linear
Gas Pressure Large VolumeMax $\\Delta P$ Greater than 5X Min $\\Delta P$Equal Percent
TemperatureMost ApplicationsEqual Percent
FlowLoad ChangesEqual Percent
Set Point ChangesLinear
Liquid LevelMax $\\Delta P$ Less than 5X Min $\\Delta P$Linear
Max $\\Delta P$ Greater than 5X Min $\\Delta P$Equal Percent
Back PressureConstant $\\Delta P$Linear
"} {"image_path": "images/f7b304294dc8d989ed42ab917093cfb6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
款 项 科 目A . 销售 、管理费(千元)B.物流费(千元)C . 计 算 基 准 (%)
车 辆 租 赁 费100 080100 080100金 额
包 装 材 料 费30 18430 184100金 额
工 资 津 贴631 335178 66828. 3人 数 比 率
水 道 光 热 费12 6456 66452. 7面 积 比 率
保 险 费10 2475 40052. 7面 积 比 率
修 缮 费19 59610 32752. 7面 积 比 率
减 价 偿 还 费28 11414 81652. 7面 积 比 率
捐 税 及 公 用 费 用39 80420 97752. 7面 积 比 率
通 信 费19 2768 11542. 1物 流 费 比 率
消 耗 品 费21 3168 97442. 1物 流 费 比 率
CP 软 件 租 赁 费9 7954 12442. 1物 流 费 比 率
支 付 利 息23 86110 04542. 1物 流 费 比 率
杂 费33 10613 93742. 1物 流 费 比 率
广 告 宣 传 费30 807-0不 含
交 际 接 待 费26 825-0不 含
旅 费 交 通 费24 120-0不 含
合 计1 06 1111412 31138. 6占销售管理费比率
销 售、物 流 费 合 计6 829 490412 3116. 04物 流 费 占 销 售 总 额 的 比 率
"} {"image_path": "images/03c947e5e2a411862a0b5c4c99a05a18.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DatasetB.faeciumS.aureus
LibraryPaired-endJumpingPaired-endJumping
Number of reads13 M41 M38 M41 M
Average coverage400×1100×1050×1050×
Coverage span$210-570 \\times$$0-3000 \\times$$0-3500 \\times$$0-3500 \\times$
Insert size270 bp7.5kb210 bp1.8kb
Insert span$150-400 \\mathrm{bp}$$6-10 \\mathrm{~kb}$$180-230 \\mathrm{bp}$$0.5-4 \\mathrm{~kb}$
Chimeric read-pairs $(\\%)$19350
Unaligned read-pairs $(\\%)$1610628
"} {"image_path": "images/bef9e25d88c5d9e771bd56f6a30b06d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
${\\rho\\left(\\mathrm{g} / \\mathrm{cm}^{3}\\right)}$T (eV)$U_{\\mathrm{PBE}}$$\\quad U_{\\text {DFT-D2 }}$${U_{\\text {vdW-DF2 }}}$${U_{\\text {pair pot. }}}$$U_{2+3}$
0.550.0200000
0.550.03$6.5 \\times 10^{-4}$$6.4 \\times 10^{-4}$$6.3 \\times 10^{-4}$$6.2 \\times 10^{-4}$$6.2 \\times 10^{-4}$
0.650.02$-1.6 \\times 10^{-5}$$-1.9 \\times 10^{-4}$$-2.5\\times10^{-4}$$-1.8 \\times 10^{-4}$$-1.7 \\times 10^{-4}$
0.650.03$6.6 \\times 10^{-4}$$4.9 \\times 10^{-4}$$4.2 \\times 10^{-4}$$4.7 \\times 10^{-4}$$4.9 \\times 10^{-4}$
0.50.10.00480.00490.00490.00480.0048
0.50.30.0170.0170.0170.0170.017
0.50.60.0340.0340.0350.0340.034
0.510.0680.0680.0680.0580.058
10.10.00570.0050.0046 0.00470.0048
10.30.0190.0180.0180.0180.018
10.60.0380.0370.0370.0360.036
110.0710.070.0710.0610.061
1.50.10.00780.00610.00510.0053 0.0055
1.50.30.0220.0210.020.020.02
1.50.60.0430.0420.0410.040.04
1.510.0760.0750.0760.0670.067
20.10.0120.00890.00730.00720.0075
20.30.0280.0260.0250.0240.024
20.60.0510.0480.0480.0460.046
210.0840.0820.0830.0750.075
2.50.10.0180.0150.0130.0110.012
2.50.30.0360.0330.0320.030.03
2.50.60.0620.0590.0590.0560.056
2.510.0980.0960.0970.0880.087
30.10.0240.020.0180.0150.016
30.30.0480.0450.0440.0410.041
30.60.0740.0710.0710.0670.067
310.1140.110.1120.1020.102
1.520.2420.240.240.1310.131
1.530.5180.5160.5120.1940.193
220.2460.2440.2430.1430.143
230.5130.5110.5070.2110.21
2.520.2580.2550.2550.160.16
2.530.5160.5140.5120.2320.23
320.2720.2690.270.1790.177
330.5230.520.5190.2520.249
"} {"image_path": "images/42fa8b8c1a7578fa30fc7d3a7b388505.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SubjectAll channelsNumber of selected channels
S10.72±0.0425456786
0.64±0.040.63±0.040.70±0.040.65±0.040.67±0.040.70±0.04
S20.80±0.03188610111213
0.76±0.030.77±0.04077±0.040.79±0.030.79±0.040.80±0.03
S30.68±0.039491011131415
0.65±0.040.66±0.040.65±0.040.67±0.030.68±0.040.66±0.04
S40.78±0.037956781012
0.68±0.040.72±0.040.76±0.040.80±0.040.79±0.030.78±0.04
S50.80±0.03886810111214
0.75±0.030.81±0.04079±0.040.80±0.040.81±0.030.78±0.04
"} {"image_path": "images/3c064304459479505f36a00ac7f231ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ConditionTen subjectsEight subjectsTwo subjects
$R^2$Residual errors$R^2$Residual errors$R^2$Residual errors
Front target
Target visible, hand visible0.67***12.150.82***6.49 0.60**15.85
Target visible, hand not-visible0.56***11.130.73***8.000.84***6.68
Target not-visible, hand visible0.60***9.350.71***5.770.92***5.27
Target not-visible,hand not-visible0.51***11.060.64***9.15 0.87***5.65
Left target
Target visible, hand visible0.83***9.680.92***4.910.92***11.11
Target visible, hand not-visible0.86*** 7.190.86***6.630.98***3.84
Target not-visible, hand visible0.83*** 8.270.82***7.470.95***6.21
Target not-visible, hand not-visible0.64***10.010.57***10.050.91***5.62
"} {"image_path": "images/522f6a121e21781e610f03a66b913ae0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
O1-C11.422(3)C1-C21.467(3)
O1-C51.450(2)C2-C31.176(3)
O2-C41.422(2)C3-C41.463(3)
O2-C241.451(2)
C1-O1-C5115.7(1)C1-C2-C3176.7(3)
C4-O2-C24115.5(1)C2-C3-C4178.3(2)
O1-C1-C2108.6(2)O2-C4-C3108.5(1)
C5-O1-C1-C2-169.6(1)O1-C5-C12-C13-78.8(2)
Cl-O1-C5-C18-173.2(1)O1-C5-C18-C23-12.4(2)
C24-O2-C4-C3-170.5(2)O2-C24-C25-C26-5.2(3)
C4-O2-C24-C25-170.0(2)O2-C24-C31-C32-76.3(2)
O1-C5-C6-C1120.9(3)O2-C24-C37-C4222.3(2)
"} {"image_path": "images/91643aeab5fb37d99fc58d75dcf013da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Time frame SerumMagnesiumlevels (mEq/L)Serum Magnesium Levels(mEq/L)P value
NODATN=236Non-NODATN=1,251
Baseline1.61±0.31(0.8-3.4)1.59±0.291.61±0.320.66
14 days post-transplant1.31±0.24(0.6-2.8)1.39±0.271.29±0.23<0.01
1 month post-transplant1.21±0.18(0.7-2.1)1.26±0.201.20±0.17<0.01
3 months post-transplant1.31±0.17(0.7-2.1)1.30±0.181.31±0.170.32
"} {"image_path": "images/21293f47c7ea34a638cd142bc2e57173.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份国民生产总值/亿元增加/%人均国民生产总值/元增加/%
2000297.602 43.314 8502.1
2001275.250 1-7.313 590-8.3
2002278.918 91.413 6450.4
2003292.763 64.014 2033.1
2004336.553 28.216 2047.3
2005368.849 97.616 7567.2
2006418.305 211.018 76010.9
2007502.096 913.222 26613.0
2008602.216 113.126 52913.0
2009644.404 211.828 24511.1
2010736.500 012.832 09111.9
"} {"image_path": "images/b2e6595f9dff3aa5124dfd8a6591cdc8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
entryloading of6(mol %)time (h)conv${CO}_2$(%)TON
at 95 ℃at 155 °C$CH_{3}OH$DMF+DMFA
10.10181896220740
20.10183689267623
$3^{b}$0.031836825501870
"} {"image_path": "images/76e02967f3b8378bee197790336a34c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ImagesBLD AlgorithmsKendall(W)Sign. μ
507Zerman(1.58) IMF(2.79) Max(3.04) Cho(3.38) Avg(4.21)0.365p < 0.05
BalancedRockZerman(2.42) IMF(2.92) Max(2.96) Cho(3.12) Avg(3.58)0.0700.15
BloomingGorse(2)Zerman(1.54) IMF(1.60) Max(3.46) Cho(3.67) Avg(4.73)0.774p < 0.05
CadesCove IMF(1.46)Zerman(1.98) Max(3.12) Cho(3.81) Avg(4.63)0.675p < 0.05
CanadianFallsZerman(1.67) IMF(1.86) Max(3.33) Cho(3.79) Avg(4.33)0.556p < 0.05
Exploratorium(1) IMF(1.50)Zerman(1.58) Max(3.25) Cho(3.88) Avg(4.79)0.830p < 0.05
HDRMark Max(2.13)Zerman(2.21) Cho(2.61) Avg(3.81) IMF(4.75)0.488p < 0.05
LasVegasStoreZerman(2.54) Cho(2.75) Max(2.79) IMF(3.12) Avg(3.79)0.0960.06
LetchworthTeaTable(2)Zerman(1.04) Max(2.46) Cho(3.13) Avg(3.50) IMF(4.88)0.791p < 0.05
MirrorLakeZerman(1.40) IMF(1.75) Max(3.25) Cho(4.08) Avg(4.52)0.770p < 0.05
PaulBunyanZerman(1.83) IMF(2.29) Max(2.83) Cho(3.71) Avg(4.33)0.417p < 0.05
Peppermill Max(2.58) IMF(2.63)Zerman(2.67) Cho(2.96) Avg(4.17)0.179p < 0.05
RedwoodSunsetZerman(2.71) IMF(2.77) Cho(3.02) Max(3.12) Avg(3.38)0.0290.59
TheGrottoZerman(1.54) IMF(1.71) Max(3.33) Cho(3.71) Avg(4.75)0.733p < 0.05
WillySentinel Max(1.42)Zerman(2.46) Cho(2.63) Avg(3.12) IMF(4.38)0.268p < 0.05
"} {"image_path": "images/85a468ecf982fb2ef4e05f2af9b97b74.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample, fractionAsPbCuZnCd
Plot 1-technogenic ground nearby the industrial site
$1_{exch}$2.57/0.270.76/0.100.27/0.06b.d.l./00.13/9.22
$2_{carb}$6.48/0.680.65/0.081.05/0.220.175/0.05b.d.l.
$3_{\\mathrm{Fe}+\\mathrm{Mn}}$ 83.7/8.8154.1/6.959.54/2.0362.1/16.171.23/87.23
$4_{org}$165.2/17.463.22/8.1360.48/12.9026.74/6.960.07/4.96
$5_{res}$780.0/82.1762.0/97.94318.0/67.80176.0/45.830.63/44.68
$\\Sigma$ fractions1037.9/109.26880.7/113.2389.3/83.01265.02/69.0142.05/146.1
Total content950.0/100778.0/100469.0/100384.0/1001.41/100
Plot 2-kitchen garden soils,500 m from the industrial site
$1_{exch}$15.68/9.226.67/6.54b.d.l.6.867/7.310.05/18.52
$2_{carb}$8.34/4.910.66/0.650.53/1.06b.d.l.b.d.l.
$3_{\\mathrm{Fe}+\\mathrm{Mn}}$5.2/3.059.08/8.900.4/0.815.2/16.170.116/42.96
$4_{org}$11.05/6.5034.13/33.463.74/7.482.6/2.77b.d.l.
$5_{res}$127.0/74.7132.0/31.3745.2/90.477.5/82.450.077/28.52
$\\Sigma$ fractions167.3/98.3982.54/80.9249.87/99.74102.17/108.70.19/90
Total content170.0/100102.0/10050.0/10094.0/1000.27/100
Plot 3-kitchen garden soils,1000 m from the industrial site
$1_{exch}$2.94/7.950.53/0.75b.d.l.b.d.l.0.13/22.41
$2_{carb}1.12/3.030.32/0.450.32/0.70.48/0.170.144/24.83
$3_{\\mathrm{Fe}+\\mathrm{Mn}}$ 4.72/12.7611.67/16.440.21/0.4664.78/22.730.21/36.21
$4_{org}$2.08/5.6220.21/28.466.72/14.6122.4/7.86b.d.l.
$5_{res}$32.0/86.4929.0/40.8535.0/76.1086.0/30.180.14/24.14
$\\Sigma$ fractions42.86/115.861.73/86.9542.25/91.86173.66/60.930.62/107.6
Total content37.0/10071.0/10046.0/100285.0/1000.58/100
Plot 4—virgin soil, 5000 m from the industrial site
$1_{exch}$0.07/0.350.86/3.58b.d.l.0.61/0.720.0245/12.89
$2_{carb}$0.02/0.100.29/1.211.68/4.94b.d.l.b.d.l.
$3_{\\mathrm{Fe}+\\mathrm{Mn}}$ 0.19/0.951.25/5.21b.d.l.8.36/9.840.0247/13.0
$4_{org}$0.29/1.454.42/18.420.78/2.290.91/1.07b.d.l.
$5_{res}$18.0/90.017.0/70.8335.0/102.9492.0/108.240.071/37.37
$\\Sigma$ fractions18.57/92.923.82/99.2537.46/110.2101.88/119.860.12/63.3
Total content20.0/10024.0 /10034.0/10085.0/1000.19/100
"} {"image_path": "images/ca09d729904d135e4a7241ac95a99e61.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
节点原煤, %分 选 条 件细粒 或 精煤粗粒 或 矿石
产 率灰 分节点种类分选密度分配曲线产率, %灰分, %产率, %灰分,%
模型平移方式
1100.0022.66筛 分60.8417.2839.1631.02
260.8417.28筛 分27.3815.4133.4618.81
339.1631.02重 选2.101331.4818.347.6882.94
431.4818.34重 选1.355312.1310.0319.3523.56
519.3523.56重 选1.35536.0411.9913.3028.81
633.4618.81重 选1.901329.9713.893.4961.03
729.9713.89重 选1.355313.359.6316.6217.31
816.6217.31重 选1.35515.238.6511.3921.28
927.3815.41浮 选1.4015.856.2911.5327.95
"} {"image_path": "images/ba61245b49edc8a19b7d1ca06c3c194e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年份类别2012201320142015
在本乡镇内从业人员136.74139.75141.90144.68
从事农林牧渔业人员109.89103.69107.02105.67
从事第二、三产业人员26.8536.0634.8839.01
外出从业人员108.21109.83113.38113.10
外出渠道自发84.6286.1890.3390.04
政府有关部门组织8.236.926.626.46
中介组织6.096.566.856.19
企业招收9.2710.179.5810.41
从事行业第一产业3.716.723.013.45
第二产业58.2557.2863.3263.41
第三产业46.2545.8347.0546.24
返乡人员再就业本地务农1.896.5311.453.54
本地从事第二、三产业3.1321.982.05
再次外出从业4.744.323.743.72
全年外出返乡人员13.4912.8511.459.31
"} {"image_path": "images/7acc666853649ae6410aa21ec20ad526.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No. of ParentsGenotypedNo. of Siblings per Family
23456Total
0320005
1322291165
21629172165
Total51532632135
"} {"image_path": "images/67304d12effe0a36e9048f411e940497.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathrm{Ce}_{1-x}\\mathrm{Sr}_x\\mathrm{PO}_{4-\\delta}~x$Conditions
$\\text{Dry O}_2\\ 400\\text{–}750\\ ^{\\circ}\\text{C}$$\\text{Wet O}_2\\ 450\\text{–}650\\ ^{\\circ}\\text{C}$$\\text{Wet H}_2\\ 550\\text{–}650\\ ^{\\circ}\\text{C}$$\\text{Wet H}_2\\ 650\\text{–}750\\ ^{\\circ}\\text{C}$
0; bulk0.570.53--
0 ; total0.560.49--
0.01; bulk-0.430.850.77
0.01; total0.46-0.860.80
0.02; bulk-0.440.780.59
0.02; total0.44-0.760.58
"} {"image_path": "images/2fbe0200ff9efee87c885db564865b81.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample nameCuttingdepthd (mm)Cuttingface FC(kN)Normalforce FN(kN)Specificenergy SE$(kWh/m^3)$
Burdur Beige marble10.632.1211.53
21.113.079.17
31.594.028.02
Travertine (B)10.230.314.76
20.470.364.48
30.520.413.36
Travertine (P)10.430.7710.31
20.760.986.60
31.051.475.47
Overburden (P)10.531.9412.69
20.862.628.16
31.193.246.39
Isparta Beige marble10.643.1511.34
21.114.138.28
31.585.106.89
White marble10.601.0012.97
21.201.3311.96
31.991.8210.68
"} {"image_path": "images/6c14c74b6955bdfad91279118158a2f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
井 号层 位深度 (m)孔隙度 (%)渗透率 $\\left(\\times 10^{-3} \\mu \\mathrm{m}^{2}\\right)$
顶深底深岩心分析测井资料岩心分析测井资料
理 634$长6^1$652.5653.53.435.040.250.13
$长6^1$654.1655.86.505.550.40.13
长7781.3781.86.703.340.670.1
长7781.87836.205.080.280.15
理 202$长6^1$463.1464.65.596.870.40.22
$长6^1$464.6465.26.764.290.340.11
$长6^1$465.2465.94.557.940.620.37
$长6^1$467.8469.64.737.340.420.25
$长6^2$483.14855.164.220.520.11
$长6^3$525.4526.74.354.450.740.09
长7575.8577.22.656.090.280.15
探 3-16$长6^1$580.5583.811.911.074.893.45
$长6^1$594.6595.710.867.272.70.88
$长6^1$597.5600.110.911.81.454.58
$长6^2$606.7610.111.112.082.745.06
$长6^2$611611.610.87.541.21.05
长3458.7460.48.313.940.631.88
长3500.4503.312.411.020.310.81
长3530.2535.57.711.780.280.88
长7805.8807.69.16.142.250.21
"} {"image_path": "images/5223d83b5adb3a26f234855e83da5198.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Mortality lawFunction form for $\\mu_x$ParametercountAIC
Gompertz$e^{\\alpha+\\beta x}$227,318.5
Makeham-Beard$\\frac{e^\\epsilon~+~e^{\\alpha+\\beta x}}{1~+~e^{\\alpha+\\rho+\\beta x}}$427,276.3
Hermite IEquation (4) with $m_0~=~m_1~=~0$227,279.4
Hermite IIEquation (4) with $m_1$ = 0327,280.9
Hermite IIIEquation (4) with $m_0$ = 0327,280.2
Hermite IVEquation (4)427,275.4
"} {"image_path": "images/718b98665f9273369868e28a2dea0527.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(x, t)N = 1N = 2N = 4N = 8
(0.0, 0.0)$7.15 × 10^{-4}$$1.19 × 10^{-4}$$4.98 × 10^{-7}$$1.73 × 10^{-12}$
(0.1, 0.1)$7.81 × 10^{-4}$$1.18 × 10^{-4}$$4.93 × 10^{-7}$$1.72 × 10^{-12}$
(0.2, 0.2)$9.80 × 10^{-4}$$1.13 × 10^{-4}$$4.79 × 10^{-7}$$1.67 × 10^{-12}$
(0.3, 0.3)$1.31 × 10^{-3}$$1.06 × 10^{-4}$$4.54 × 10^{-7}$$1.61 × 10^{-12}$
(0.4, 0.4)$1.78 × 10^{-3}$$9.51 × 10^{-5}$$4.19 × 10^{-7}$$1.51 × 10^{-12}$
(0.5, 0.5)$2.37 × 10^{-3}$$8.17 × 10^{-5}$$3.75 × 10^{-7}$$1.39 × 10^{-12}$
(0.6, 0.6)$3.10 × 10^{-3}$$6.52 × 10^{-5}$$3.20 × 10^{-7}$$1.24 × 10^{-12}$
(0.7, 0.7)$3.96 × 10^{-3}$$4.58 × 10^{-5}$$2.56 × 10^{-7}$$1.06 × 10^{-12}$
(0.8, 0.8)$4.96 × 10^{-3}$$2.34 × 10^{-5}$$1.82 × 10^{-7}$$8.52 × 10^{-13}$
(0.9, 0.9)$6.08 × 10^{-3}$$2.00 × 10^{-6}$$9.74 × 10^{-8}$$6.19 × 10^{-13}$
(1.0, 1.0)$7.34 × 10^{-3}$$3.04 × 10^{-5}$$3.31 × 10^{-9}$$3.59 × 10^{-13}$
$||e_N||_{\\infty}$$4.44 × 10^{-3}$$1.15 × 10^{-4}$$4.93 × 10^{-7}$$1.72 × 10^{-12}$
"} {"image_path": "images/e5c987ff3a48784f096cb4190246a303.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$x^-$n$R_{min}$ $\\mathbf{\\mathring{A}}$-$\\Delta$E,kcal/mole$^q{}_{X^-}$$q_{H_2O}$
$Br^-$12,6813,2-0,954-0,047
22,7225.6-0,918-0,041
32,7236,9-0,886-0,037
4 (square.)2,7547,2-0,862-0,034
4 (tetr.)2,7347,6-0,857-0,035
62,7667,2-0,820-0,030
82,9273,6-0,840-0,020
$I^-$12,9510,2-0,968-0,032
22,9519,8-0,937-0,031
32,9728,8-0,912-0,030
4 (square)2,9837,2-0,890-0,028
4 (tetr.)2,9837,6-0,890-0,028
62,9953,4-0,852-0,025
83,0864,8-0,847-0,022
"} {"image_path": "images/8446bc580d31aaae9757271a65357b64.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
投标人名称原投标价最终修正后的评标价经算术修正后的评标价平均评标价B/元标底 A/元复合标底 C=(A + B)/2评标价与复合标底相比/ (%)评标价得分
投标人 184 515 16272 982 61072 982 61081 348 71493 231 23987 289 976-16.390
投标人 289 215 62679 016 67979 016 679-9.4858.52
投标人 397 663 01097 663 010未通过符合性审查0
投标人 488 470 06379 579 76379 579 763-8.8359.17
投标人 593 025 19786 355 53686 355 536-1.0746.14
投标人 699 567 41988 808 98188 808 9811.7437.04
"} {"image_path": "images/30b98ee001d4400a7557ca439ff56bbc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DataModelI1I2I3I4I5Avg
linear-1Linear0.76123371.27916111.73609621.47601982.87690781.6258837
Exponential80.49278684.28399466.78020378.73828184.49606178.958265
Multinomial logit327.44054329.66592333.5761332.29854321.6613328.92848
Neural network20.76840118.53731923.72611215.81556425.42221720.853923
linear-2Linear1.44341591.86596561.9741441.5560861.00401611.5687255
Exponential222.04124228.16515223.7829227.20262227.20262225.67891
Multinomial logit41.85062342.69028741.97002354.88841665.29127149.338124
Neural network53.17074838.98435644.93015235.93113131.7733440.957946
linear-3Linear0.95270931.37256612.06521031.99887031.09432431.496736
Exponential93.44886395.13199292.83174492.83174495.7190893.992685
Multinomial logit47.69188934.77934264.00473154.43711287.85503957.753622
Neural network39.99725726.12253932.51653936.13006131.34380733.22204
exp-1Linear80.27178880.3368180.00866480.27116280.20913280.219511
Exponential9.89658992.17620578.16128785.25554056.16770726.3314662
Multinomial logit189.35336188.62464202.70737205.47824192.59155195.75103
Neural network56.50895355.38940458.30222654.14067554.05774955.679801
exp-2Linear76.74617676.92548775.19867274.39238275.40250875.733045
Exponential6.20991265.81675446.40294135.72808693.38218095.5079752
Multinomial logit356.55543355.68068356.67745361.31298359.58254357.96182
Neural network50.74261848.10344451.67442747.96491949.1305349.523188
exp-3Linear94.05519593.88131992.2871793.61966891.23344293.015359
Exponential0.17770765.71271057.01757625.2925368.43405885.3269178
Multinomial logit171.28977165.25572176.2023161.76699161.76699167.25635
Neural network67.4948863.61251457.66020365.2692665.2692663.861223
MNL-1Linear46.74310947.84271338.74616438.56904440.21659242.423524
Exponential100.2375184.65014789.53760899.736694101.8641895.205227
Multinomial logit35.94336219.86437523.96668437.24088832.41871429.886804
Neural network44.03135831.5804331.98834437.80967145.00210638.082382
MNL-2Linear67.56007294.81434568.28885881.72595963.48431175.174709
Exponential169.79282175.16026171.80787184.29299185.86174177.38314
Multinomial logit16.8652555.118416210.22647813.89557213.6254411.946232
Neural network58.88997562.74335367.15332761.87480765.16291563.164875
MNL-3Linear71.8367471.65455972.07859372.84003373.67767672.41752
Exponential53.04974452.40492552.83247853.05088553.34616152.936838
Multinomial logit6.27085260.88386050.43029940.90952490.60549411.8200063
Neural network56.8571952.15004652.03517943.18676747.98622150.443081
"} {"image_path": "images/38b4fe6920ba1054205c163616585f14.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Drinking at night (DV)
bSE
Negative Interpersonal Interactions
Intercept2.59**.098
Implicitself-esteem.051.039
Explicitself-esteem.020.062
Positive interpersonal interactions.015.019
Negative interpersonal interactions.019.033
Implicit self-esteem × negative interpersonal-.044*.020
Explicit self-esteem × negative interpersonal.004.031
"} {"image_path": "images/974c84ccb2453f44eeb4ae3b04e1d3fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 1 - Clinical parameters.
ParameterInsulinglargineInsulin detemir
Once dailyinjectionTwice dailyinjection
Initial mean bodyweight (kg)87.487.487.4
Final weight (kg)*91.389.791.1
Initial doses (IU)121212
Final doses (IU/kg)0.440.521
Average dose (IU)26.0929.3251.55
Note. Estimated and adapted from Rosenstock et al. [22].* This indicator was calculated adding to the initial mean bodyweight the mean change registered at the end of the trial for eachinsulin scheme.
"} {"image_path": "images/48d75e99b59b2263a33c2d9de3e09e61.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RMSE from NN training sampleRMSE from NN testing sampleRMSE improvement of neural network comparedto regression $model^a$
Total%
Neural network 10.02810.02330.005017.8
Neural network 20.02810.02470.003612.8
Neural network 30.02790.02480.003512.5
Neural network 40.02810.02380.004516.0
Neural network 50.02810.02300.005318.8
Neural network 60.02800.02430.004014.3
Neural network 70.02800.02430.004114.4
Neural network 80.02810.02510.003211.4
Neural network 90.02780.02460.003813.3
Neural network 100.02800.02430.004014.2
NN 1-10 Average0.02800.02420.004114.5
"} {"image_path": "images/18660cbaf0dff10b9385ce0ea664fa9c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国家年份基础研究应用研究试验发展
美国199517.323.2059.50
日本199515.0024.6060.50
德国199121.00————
法国199321.8029.2049.00
英国199433.3037.8028.90
意大利199117.7046.6035.70
澳大利亚199328.6033.3038.10
韩国199414.3023.8061.90
西班牙199119.9037.0042.90
瑞典199120.0015.3064.70
新加坡199412.6038.5048.90
中国19956.1039.8054.10
"} {"image_path": "images/00faa26408747ce013a757aee65c9ad7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\xi$0,00,1250,2500,3750,500
$\\eta(\\xi)$, mm0,020,240,541,171,84
$M_0$, Nm-294-294-294-294-294
M(Q), Nm0208417620825
M(q), Nm0-5- 36-120-293
$M_{max}(\\xi)$, Nm-294-9187206238
$\\sigma_{max }(\\xi)·10^{-5},~N/m^2$-395-125115275320
"} {"image_path": "images/ff746200c332a4b4c9c1fd45fc96fde8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ComponentProportion(%)Number ofinterview
BrickMortarConcreteRoofing materialSteelWoodOtherTotal
Brick-concrete structureMean56.510.515645310016
SD19.296.226.023.632.523.392.06
Frame structureMean24.59.550.54.56.51.5310012
SD13.565.9121.071.815.041.331.85
"} {"image_path": "images/c861a6d012a3d54f51132bc034ae59f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelSum of squaresMean square$Corrected~R^2$Standard error
RegressionResidualRegressionResidualABCD
$\\text{I}~\\left(\\delta_{\\gamma}\\right)$72468.70.22718117.20.2270.9894.9921.8495.032.20
$\\Pi~\\left(\\delta_{\\mathrm{β}}\\right)$86010.20.00321502.60.0031.000.976.334.560.14
"} {"image_path": "images/f499d6715eb3fa7cfa0558184dada1d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PrimerSequences (5' to 3')G+C content $(\\%)$ Number of fragmentsSize range of fragments (bp)
Pangio piperataP. filinarisP. piperataP. filinaris
OPA-03AGT CAG CCA C603-49-14300-1500250-1700
OPA-09GGG TAA CGC C7076-7400-1700350-1700
OPA-11CAA TCA CCG T503-43500-780500-680
OPA-13CAG CAC CCA C708-92-5280-900480-1200
OPA-18CAA ACG TCG G606-109-10250-1500380-2000
"} {"image_path": "images/c595ef01f2987fe95697a6e3b50da2e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
元素*用下列试剂进行蒸馏, 挥发的近似百分率
$ \\begin{array}{l}~~\\mathrm{HCl}-\\\\\\mathrm{HClO}_{4}\\\\\\text{(步骤1)}\\end{array} $$ \\begin{array}{l}~~\\mathrm{HBr}-\\\\\\mathrm{HClO}_{4}\\\\\\text{(步骤} 2\\end{array} $$ \\begin{array}{l}\\mathrm{HCl}-\\mathrm{H}_{3} \\mathrm{PO}_{4} \\\\\\ \\ \\ \\ \\ \\ \\ -\\mathrm{HClO}_{4} \\\\\\text { (步骤3) }\\end{array} $$ \\begin{array}{l}\\mathrm{HCl}-\\mathrm{H}_{3} \\mathrm{PO}_{4} \\\\\\ \\ \\ \\ \\ \\ \\ -\\mathrm{HClO}_{4} \\\\\\ \\ \\ \\ \\ \\ \\text { (步骤3) }\\end{array} $$ \\begin{array}{l}~~\\mathrm{HCl}-\\\\\\mathrm{H}_{2}~\\mathrm{SO}_{4}\\\\\\text{(步骤5)}\\end{array} $$ \\begin{array}{c}~~\\mathrm{HBr}-\\\\\\mathrm{H}_{2} \\mathrm{SO}_{4}\\\\(\\text { 步骤 } 6)\\end{array} $
As(III)3010030100100100
As(V)510051005100
Au10.50.5 0.50.50.5
B202010105010
Bi0.110101
Cr(III)99.74099.84000
Gea507010909095
$\\mathbf{H g}(I)$,$(II)$757575757590
Ma0.10.020.020.020.020.02
Mo3120054
Osb10010010010000
P111111
Re1001008010090100
Ru99.510010010000
Sb(III)299.8299.83399.8
"} {"image_path": "images/c6f4339b0f052065fe97d33381cd1ed7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份省内游国内游
花费/元停留天数/天花费/元停留天数/天
19993734.015078.5
19985074.013169.0
19973993.0165010.0
19963553.5159010.0
平均4083.615169.4
"} {"image_path": "images/f23d12ef3a2dd3dd8422e29d90a9096b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StrainOrigin Maturity(age-class)Longevity(age-class)Source
1 AssinicaAssinica Lake, Broadback River system, Que.2-47Webster and Flick 1981
2 TemiscamieTemiscamie River, tributary to Lake Albanel, Que.1-35-6Webster and Flick 1981
3 HornHorn Lake, SW Adirondacks, N.Y.34Keller 1979
4 Domestic (Cortland or New York)Domestic strains, N.Y. state hatchery system0-12Webster and Flick 1981
5 Assinica $\\times$ Domestic (F1)First generation hybrid1-23-4File data
6 Temiscamie $\\times$ Domestic (F1)First generation hybrid1-23-4File data
7 Assinica $\\times$ Domestic (F2)Second generation hybrid1-23-4File data
8 Temiscamie $\\times$ Domestic (F2)Second generation hybrid1-23-4File data
9 Assinica $\\times$ Domestic (challenged)First generation hybrid, acid challenged Domestic1-23-4File data
10 Temiscamie $\\times$ Domestic (challenged)First generation hybrid, acid challenged Domestic1-23-4File data
11 Temiscamie $\\times$ Domestic (acclimated)First generation hybrid, acid acclimated1-23-4File data
12 Little TupperLittle Tupper Lake, N Adirondacks, N.Y.2-35Keller 1979
13 Little Tupper (acclimated)Little Tupper Lake, acid acclimated2-35Keller 1979
"} {"image_path": "images/852b2a4c4baf19b871ce98839f13b03f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Leadtime n$Parameters^a$
$\\alpha_{n1}$$\\beta_{n1}$$\\gamma_{n1}$$\\alpha_{n2}$$\\beta_{n2}$$\\gamma_{n2}$$\\zeta_n$
12.9351.5005.522.7581.0235.997.00
2177.59035.344-160.9013.8441.2105.6811.59
338.3988.291-24.1911.4641.0565.409.72
"} {"image_path": "images/9318fbcb38d979cce7a590c7a73d94da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DOC,$mg\\ L^{-1}$pollutant concn,$ng\\ mL^{-1}$partition coefficients (× $10^{-4}$)
reverse phasedialysis
9.6 ± 10.8 ± 0.12.9 ± 0.4(n = 5)5.8 ± 1.8(n = 3)
7.8 ± 0.30.8 ± 0.11.7 ± 0.2(n = 6)47.0 ± 18.0(n = 3)
9.6 ± 15.6 ± 0.20.9 ± 0.2(n = 6)5.4 ± 1.3(n = 8)
7.8 ± 0.36.6 ± 0.27.4 ± 0.3(n = 6)50.0 ± 24.0(n = 6)
9.6 ± 10.9 ± 0.30.37 ± 0.01(n = 6)0.59 ± 0.08(n = 4)
7.8 ± 0.315.3 ± 1.237.8 ± 10.0(n = 6)1.1 ± 0.21(n = 6)
7.8 ± 0.316.6 ± 0.40.74 ± 0.07(n = 6)2.3 ± 1.0(n = 4)
"} {"image_path": "images/cf3c4b4d6f91398b08b80c34a384244f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Device typeTrainingNo. of benigninstancesOptimizationTesting
No. of benigninstancesNo. of maliciousinstances No. of benigninstancesNo. ofmaliciousinstances
Baby monitor53,37953,379307,81253,379615,625
Doorbell25,02925,029428,38325,029856,767
Security camera69,14869,1481,050,75069,1482,101,502
Thermostat43714370274,2544370548,509
Webcam15,60715,605107,69015,605215,382
"} {"image_path": "images/6f2d54ba67376092c0feee8b3d8d3fa9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temperature (K)$E_{\\text {corr }}(\\mathrm{mV} / \\mathrm{SCE})$$\\left|b_{\\mathrm{c}}\\right|(1 / \\mathrm{V})$$\\left|b_{\\mathrm{a}}\\right|(1 / \\mathrm{V})$$i_{\\text{corr}}\\left(\\mathrm{mA}~\\mathrm{cm}^{-2}\\right)$$\\eta (\\%)$
Blank solution
293-4572.849.036.4-
303-4640.462.378.17-
333-4776.458.1211.87-
$10^{-2} \\mathrm{M\\ of\\ 4-PAT+5 }\\times 10^{-4} \\mathrm{M\\ of}\\ \\mathrm{KI}$
293-43613.3110.110.1198
303-49413.7621.170.5194
333-4797.5618.561.2889
"} {"image_path": "images/6b92ec202ea6512d2b93cc5b550cdb14.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ItemAngusn = 27Charolaisn = 55Herefordn = 152
Mean$SD\\dagger$MeanSDMeanSD
In: tial age, days23117.123416.223318.8
Initial wt, kg22730.829141.123833.9
Initial fat $1 \\ddagger, \\mathrm{cm}$.31.15.15.13.32.14
Initial fat 2, cm.29.14.15.13.31.13
Initial fat 3 , cm.28.14.14.13.29.12
Avg initial fat, cm.29.14.15.12.31.12
Initial longissimus muscle area, $\\mathrm{cm}^2$42.64.8448.47.0340.66.22
Finai wt, kg39546.352553.442543.0
Final fat 1, cm.82.22.49.17.92.26
Final fat 2 , cm.94.23.48.18.91.23
Final fat 3 , cm.95.24.49.16.93.24
Avg final fat, cm.90.22.49.15.92.22
Final longissimus muscle area, $\\mathrm{cm}^{2}$65.68.2080.08.8667.66.98
ADG during test, $k g/ day$ 1.20.161.67.171.34.17
Change in fat $1, \\mathrm{~cm}$.51.18.34.17.61.24
Change in fat $2, \\mathrm{~cm}$.65.18.33.17.60.22
Change in fat 3, cm.67.18.34.17.64.22
Change in avg fat, cm.61.16.34.14.61.20
Change in longissimus musclearea, cm²23.08.3031.510.4227.17.88
Predicted initial retailyield wt (Y1), kg9713.612717.810214.6
Predicted final retail yieldwt $(\\mathrm{Y} 2), \\mathrm{kg}$16719.522723.218018.4
Predicted final retail yield $\\%$(Y2/final wt)42.2.3443.2.2042.4.34
Predicted ADG of retail yield(Y2-Y1)/140, kg/day.49.07.72.07.56.07
"} {"image_path": "images/bc7d18deecb4bc386c2c232165b79d54.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A. R$_{\\mathrm{PC}}$ Single-Value Examples
BMTExampleR$_{\\mathrm{PC}}$P$_{\\mathrm{C}}$
F-TypeCheck glucose level threetimes a day3Actualfrequency (ex. 2)
D-TypeExercise for 30 min30 (min)Actual exerciseduration (ex.25 min)
C-TypeJoin patient care portal1Joined (1)
M-TypeDrink 2 L of water a day2 (L)Actual amountof waterconsumed (ex.1.5 L)
T-TypeTake medication atnoon Tolerance value: 30 min1 (no tolerancevalue) 30(with tolerancevalue)Whether actualbehaviorhappens (1) ornot (0) - (notolerance value)Tolerance value– actual timepassed (withtolerance value)
B.R$_{\\mathrm{PC}}$ Combined-Value Examples
CBMTExampleR$_{\\mathrm{PC}}$
FT-TypeTake medication three times aday after having a mealTolerance value:30 min3,30
FM-TypeDrink 200 ml water ten timesa day10,200
DT-TypeWalk for 30 min at 7 A.M.30,1
"} {"image_path": "images/a8807bb54e24fcdb0c9f67e982f30b76.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AnionSelectivity coefficients of electrodes containingdifferent carriers
ZnPc$^{a}$ZnPc-HTAB$^{b}$Cu(II)BFPD$^{c}$Sn(IV)TBDTB$^{d}$Cu(II)BBSTA$^{e}$
$SCN^{-}$00000
$Sal^{-}$-0.76-0.61-1.3-0.8-1.0
$I^{-}$-1.81-0.62-0.7-1.10.9
$CLO_4~^{-}$-1.92-0.87-1.8-0.9-0.5
$Br^{-}$-2.42-2.14-2.2-3.1-
$CI^{-}$-2.82-2.48-3.2-3.2-2.7
$NO_3~^{-}$-2.89-2.53-3.5-2.8-2.5
$NO_2~^{-}$-3.13-2.74-2.9-3.1-2.8
$H_2PO_4~^{-}$-3.61-3.34-4.2--2.6
$SO_4~^{2-}$-4.32-3.56-4.0-4.6-3.4
"} {"image_path": "images/fc8eb732f1d4f546f272a4ec25d2cf53.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$a-\\mathrm{Si}_x\\mathrm{N}_{\\mathrm{i}-x}:\\mathrm{H}$$0.21\\:\\mathrm{W/cm}^2,$150 sccm $\\mathrm{SiH}_4$$\\mathrm{NH}_{3}$ (sccm)$\\nu_{1}$$(cm^{-1})$$\\nu_{2}$$(cm^{-1})$$\\nu_{3}$$(cm^{-1})$$\\nu_{4}$$(cm^{-1})$Refractiveindex (n)
700335121898574831.95
600335121888554861.96
500334721808554801.99
500333921638514762.10
300333921508494772.26
$\\alpha-\\mathrm{Si}_3\\mathrm{N}_4{}^\\mathrm{a}$1000500
Solid $\\mathrm{NH_3^b}$337832231646
"} {"image_path": "images/3f098b7a81aa98c0c330a3739b44e8fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Properties of covariatesConfounders Exposurepredictors Outcomepredictors
$W_{1}$$W_{2}$$W_{3}$$W_{4}$$W_{5}$$W_{6}$$W_{7}$$W_{8}$$W_{9}$$W_{10}$
Confounders
$W_{1}$1
$W_{2}$01
$W_{3}$001
$W_{4}$0001
Exposure predictors
$W_{5}$0.100 01
$W_{6}$00.20001
$W_{7}$0000001
Outcome predictor
$W_{8}$000.100001
$W_{9}$0000.100001
$W_{10}$0000000000
"} {"image_path": "images/e0deb9ccdf5287ed232846350af10ff7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cyclo-sporin Adose(mg/kg)Total(10$^9$/l)Neutro-phils(10$^9$/l)Lymph-ocytes(10$^9$/l)Monocytes(10$^9$/l)Basophils(10$^9$l)
206.5942.0573.6240.549***0.020*
5.05.9311.6053.8510.1980.010
1.256.5611.8124.3820.1320.009
Control6.4931.3254.8460.1150.011
"} {"image_path": "images/4920b734bd81ff56a2ec90c8a7d7d426.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DE 值5101520
酶法转化
$DP_1$0. 10. 3 0. 71. 4
$DP_2$1. 33. 45. 57. 6
$DP_3$1. 84. 36. 99. 4
$DP_4$1. 83. 55. 26. 9
$DP_5$1. 83. 65. 5 7. 4
$DP_6$3. 37. 010. 614. 3
$DP_7$ 及以上89. 977. 965. 653. 0
$总 DP_{1-6}$10. 122. 134. 474. 0
$\\mathrm{DP}_{1-6}/~\\mathrm{DP}$ 值2. 02. 22. 32. 4
酸法转化
$DP_1$2. 33. 75. 5
$DP_2$2. 84. 45. 9
$DP_3$2. 9 4. 45. 8
$DP_4$3. 04. 55. 8
$DP_5$8. 04. 35. 5
$DP_6$2. 23. 34. 3
$DP_7$ 及以上83. 875. 467. 2
$总 DP_{1-6}$16. 224. 632. 8
$\\mathrm{DP}_{1-6}/~\\mathrm{DP}$ 值1. 61. 61. 6
"} {"image_path": "images/2c2e86993ab40417a462bb05b1368eff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MatrixIndividual ReleaseDual Release
Un-crosslinkedCrosslinkedUn-crosslinkedCrosslinked
EosinCurcuminEosinCurcuminEosinCurcuminEosinCurcumin
Alginate10010056861001009290
$MaterBi^®$1874n/an/a4070n/an/a
50/509893724386677334
30/707249602392408622
"} {"image_path": "images/fded0db948d823f895c1b498c3b1837e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SpeciesAverage abundance(ind. grab${ }^{-1}$)$\\bar{\\delta}_{\\mathrm{i}}(\\%)$
ExBExBShEx vs BEx$(\\bar{\\delta}=46.78)$Ex vs BSh$(\\bar{\\delta}=59.64)$BEx vs BSh$(\\bar{\\delta}=60.93)$
Lentidium mediterraneum (O.G.Costa,1829)3978.171013.83141.337.976.203.35
Prionospio caspersi Laubier, 196236.2555.3378.332.531.461.40
Donax semistriatus Poli, 179526.0036.255.332.811.461.66
Mactra stultorum (Linnaeus, 1758)10.6712.1740.172.561.641.75
Chamelea gallina (Linnaeus, 1758)6.083.5015.172.641.301.73
Tapes philippinarum (Adams &Reeve, 1850)5.9285.502.203.714.88
Spio decoratus Bobretzky, 18703.583.7519.752.521.431.88
Paphia aurea (Gmelin, 1791)0.420.4217.502.922.74
Corbula gibba (Olivi, 1792)0.5818.172.533.00
Solen marginatus Pulteney, 17990.830.4219.001.772.212.62
Tellina tenuis Da Costa, 17780.675.0821.253.172.621.54
Capitella capitata (Fabricius, 1780)0.580.1736.423.023.29
Abra alba (Wood W., 1802)1.250.7542.671.903.083.31
Prionospio $\\mathrm{sp}$.0.1729.173.443.40
Polydora ciliata (Johnston, 1838)0.330.0845.583.473.99
Capitomastus minimus (Langerhans,1880)0.330.33125.004.774.85
"} {"image_path": "images/8e89a9003cb1612d9c8ff7a680572325.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一般外墙抹灰材料的颜色和色感普通水泥砂浆的配色和掺料
材 料颜 色质 感颜 色加入颜料的名称、用量
1 : 1: 6 水泥砂浆喷毛灰色浅灰加老粉 $10 \\% \\sim 20 \\%$
1 : 2 普通水泥抹光 深灰色中黄铬酸钡或氧化铁黄 5%~15%
普通水泥浆拉毛深灰色粗毛土红二氧化铁 $7 \\% \\sim 21 \\%$
白水泥砂浆抹光白色青色群青 7%~21%
水刷石各种颜色粗糙灰绿氧化铬绿 5%~15%
纸筋石灰抹面白色淡褐二氧化锰或氧化铁红 2%~16%
清水墙砖色横线条深褐氧化铁红加少量炭黑 5%~10%
灰黑炭黑 5%~15%
"} {"image_path": "images/e239c7d3cc9548c50c722a499cbeda1a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$v$$k_1$$k_2$rbλ$v$$k_1$$k_2$ rbλ
133391331735303415
173336689193412194
1734243492533181503
"} {"image_path": "images/b85e80d3cf3ad1f113ed422d0cae8c2d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
车 刀 类 型 工件材料加工性质磨钝标准 VB / mm
高速钢硬质合金
外圆车刀、端面车刀、镗孔刀碳钢、合金钢粗车1.5~2.01.0~1.4
精车1.00.4~0.6
灰铸铁、可锻铸铁粗车2.0~3.00.8~1.0
半精车1.5~2.00.6~0.8
耐热钢、不锈钢粗、精车1.01.0
钛合金粗、半精车0.4~0.5
淬火钢精车0.8~1.0
"} {"image_path": "images/40951f2830a9da260791a09a9d8c92af.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
JudgeAReliabilityof AJudgeBReliabilityof BJudgeCReliabilityof CMajorityvote
a1$ r(A,\\mathbf{a}) $0$ r(B,\\mathbf{a}) $1r(C, a)
b0$ r(A,\\mathbf{b}) $1r(B, b)1r(C, b)
$ a \\land b$001
"} {"image_path": "images/6b0709dad1b8a8507feec1b1b12f2340.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
% w/w of binderper tabletTablet ingredients
Binder (mg)Paracetamol (mg) model drugLactose (mg) diluentsTalc (mg) lubricantTablet weight (mg)
1.03.025044.03.0300
1.54.525042.53.0300
2.06.025041.03.0300
2.57.525039.53.0300
3.09.025038.03.0300
"} {"image_path": "images/6eec6ef341b841655f345da0aaaeba34.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Crop-year$^{\\dagger}$Daily carbon fluxTest statistics
Measured (g C $m^{-2}~day^{-1}$)Modelled (g C $m^{-2}~day^{-1}$)EF ( - )RMSE (g C $m^{-2}~day^{-1}$)
NPP
Corn-year$ 2.37\\pm 0.06 $2.320.362.40
Wheat-year$ 1.59\\pm 0.08 $1.550.781.30
Barley-year$ 1.51 \\pm 0.08 $1.410.581.33
Full crop-rotation$ 1.73 \\pm 0.08 $1.660.59 1.62
$R_h$
Corn-year$ 2.49 \\pm 0.03 $1.42-2.071.54
Wheat-year$ 1.78 \\pm 0.04 $0.87-0.871.30
Barley-year$ 1.26\\pm 0.03 $0.59-0.191.06
Full crop-rotation$1.70 \\pm 0.03$ 0.86-0.401.25
NEE
Corn-year$-0.12 \\pm 0.09$0.910.182.97
Wheat-year$-0.19 \\pm 0.11$0.680.661.69
Barley-year$ 0.24\\pm 0.11 $0.830.521.67
Full crop-rotation$0.03 \\pm 0.11$0.800.472.04
"} {"image_path": "images/ace3589f88691e5b65e9636d098fe352.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Obs. type (t) DescriptionLikelihood contribution $p_t(\\psi)$
1$Y_1 = 1, Y_2 = 1$, no validation$p_1 \\times [s_1s_2p_{DD} + s_1f_2p_{D\\bar{D}} + s_2f_1p_{\\bar{D}D} + f_1f_2p_{\\bar{D}\\bar{D}}]$
2$Y_1 = 1, Y_2 = 0$, no validation$p_{\\text{I}}\\times\\left[(s_1-f_1)p_1+f_1\\right]-p_1(\\psi)^{\\text{a}}$
3$Y_1 = 0, Y_2 = 1$, no validation$p_{\\text{I}}\\times\\left[(s_2-f_2)p_2+f_2\\right]-p_1(\\psi)^{\\text{a}}$
4$Y_1 = 0, Y_2 = 0$, no validation$p_{\\text{I}}\\times\\left[(f_1-s_1)p_1+(1-f_1)\\right]-p_3(\\psi)^{\\text{a}}$​​
5$Y_{1} = 1,Y_{2} = 1,validate\\ D_{1} \\ only, D_{1} = 1$$p_{\\text{II}}\\times\\left[s_1(s_2p_{DD}+f_2p_{D\\bar{D}})\\right]$
6$Y_{1} = 1,Y_{2} = 1,validate\\ D_{1} \\ only, D_{1} = 0$$p_{\\text{II}}\\times\\left[f_1(s_2p_{\\bar{D}D}+f_2p_{\\bar{D}\\bar{D}})\\right]$​​
7$Y_{1} = 1,Y_{2} = 0,validate\\ D_{1} \\ only, D_{1} = 1$$p_{\\text{II}}\\times\\left\\{s_1\\left[(1-s_2)p_{DD}+(1-f_2)p_{D\\bar{D}}\\right]\\right\\}$
8$Y_{1} = 1,Y_{2} = 0,validate\\ D_{1} \\ only, D_{1} = 0$$p_{\\text{II}}\\times\\left\\{f_1\\left[(1-s_2)p_{\\bar{D}D}+(1-f_2)p_{\\bar{D}\\bar{D}}\\right]\\right\\}$
9$Y_{1} = 0,Y_{2} = 1,validate\\ D_{1} \\ only, D_{1} = 1$$p_{\\text{II}}\\times\\left[(1-s_1)(s_2p_{DD}+f_2p_{D\\bar{D}})\\right]$​​
10$Y_{1} = 0,Y_{2} = 1,validate\\ D_{1} \\ only, D_{1} = 0$$p_{\\text{II}}\\times\\left[(1-f_1)(s_2p_{\\bar{D}D}+f_2p_{\\bar{D}\\bar{D}})\\right]$
11$Y_{1} = 0,Y_{2} = 0,validate\\ D_{1} \\ only, D_{1} = 1$$p_{\\text{II}}\\times\\left\\{(1-s_1)\\left[(1-s_2)p_{DD}+(1-f_2)p_{D\\bar{D}}\\right]\\right\\}$
12$Y_{1} = 0,Y_{2} = 0,validate\\ D_{1} \\ only, D_{1} = 0$$p_{\\text{II}}\\times\\left\\{(1-f_1)\\left[(1-s_2)p_{\\bar{D}D}+(1-f_2)p_{\\bar{D}\\bar{D}}\\right]\\right\\}$
13$Y_{1} = 1,Y_{2} = 1,validate\\ D_{2} \\ only, D_{2} = 1$$p_{\\text{III}}\\times\\left[s_2(s_1p_{DD}+f_1p_{\\bar{D}D})\\right]$​​
14$Y_{1} = 1,Y_{2} = 1,validate\\ D_{2} \\ only, D_{2} = 0$$p_{\\text{III}}\\times\\left[f_2(s_1p_{D\\bar{D}}+f_1p_{\\bar{D}\\bar{D}})\\right]$
15$Y_{1} = 1,Y_{2} = 0,validate\\ D_{2} \\ only, D_{2} = 1$$p_{\\text{III}}\\times\\left\\{(1-s_2)(s_1p_{DD}+f_1p_{\\bar{D}D})\\right\\}$
16$Y_{1} = 1,Y_{2} = 0,validate\\ D_{2} \\ only, D_{2} = 0$$p_{\\text{III}}\\times\\left\\{(1-f_2)(s_1p_{D\\bar{D}}+f_1p_{\\bar{D}\\bar{D}})\\right\\}$
17$Y_{1} = 0,Y_{2} = 1,validate\\ D_{2} \\ only, D_{2} = 1$$p_{\\text{III}}\\times\\left\\{s_2\\left[(1-s_1)p_{DD}+(1-f_1)p_{\\bar{D}D}\\right]\\right\\}$​​
18$Y_{1} = 0,Y_{2} = 1,validate\\ D_{2} \\ only, D_{2} = 0$$p_{\\text{III}}\\times\\left\\{f_2\\left[(1-s_1)p_{D\\bar{D}}+(1-f_1)p_{\\bar{D}\\bar{D}}\\right]\\right\\}$
19$Y_{1} = 0,Y_{2} = 0,validate\\ D_{2} \\ only, D_{2} = 1$$p_{\\text{III}}\\times\\left\\{(1-s_2)\\left[(1-s_1)p_{DD}+(1-f_1)p_{\\bar{D}D}\\right]\\right\\}$
20$Y_{1} = 0,Y_{2} = 0,validate\\ D_{2} \\ only, D_{2} = 0$$p_{\\text{III}}\\times\\left\\{(1-f_2)\\left[(1-s_1)p_{D\\bar{D}}+(1-f_1)p_{\\bar{D}\\bar{D}}\\right]\\right\\}$​​
21Measure $D_1, D_2$ only, $D_1 = 1, D_2 = 1$$P_{IV} \\times P_{DD}$
22Measure $D_1, D_2$ only, $D_1 = 1, D_2 = 0$$P_{IV} \\times P_{D\\bar{D}}$
23Measure $D_1, D_2$ only, $D_1 = 0, D_2 = 1$$P_{IV} \\times P_{\\bar{D}D}$
24Measure $D_1, D_2$ only, $D_1 = 0, D_2 = 0$$P_{IV} \\times P_{\\bar{D}\\bar{D}}$
"} {"image_path": "images/0b4fed876a15765ab07b7f0cb38e59cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Number ofOAspH ofsolutionDosage of$Fe_3O_4/AC$Initial concentrationof Cu(II)
1111
2122
3133
4212
5223
6231
7313
8321
9332
"} {"image_path": "images/9ddd63faebce0e3bebf1cc21a7f8eb5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Penetrants$E_p ({kcal~mol}^{-1})$
This studyIn PTFE$\\text{In TFE-PFA}^{\\text{a}}$In polycarbonateIn ethylcellulose$In polyimide^b$
$H_{2}$5.755.10 [18]4.9 [8]1.65 [21]17.6 [22]
$O_{2}$4.714.55 [18]4.7 [20]1.51 [21]19.6 [22]
$N_{2}$6.335.82 [18]6.0 [20]1.94 [21]25.9[22]
$CO_{2}$4.933.34 [18]3.0 [20]0.79 [21]12.8 [22]
$C_2H_2$7.774.7 [8]
$C_2H_4$8.155.0 [8]
$C_2H_6$8.498.42 [19]5.0 [8]29.3 [22]
$CH_4$8.278.06 [19]5.6 [8]6.2 [20]2.08 [21]25.1 [22]
CO7.404.8 [8]23.4 [22]
$C_3H_8$10.879.94 [19]34.7 [22]
"} {"image_path": "images/50711759d1d176571d6e2233557c2572.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RegulatorS$\\delta_{1}$$\\delta_{2}$$\\delta_{3}$$\\tau_{0}$
Conventional6.552.02-0.12
$S_{k_{\\mathrm{c}}}$0.67-0.83--0.17
$S_{R_{\\mathrm{a}}}$0.240.015-0.173
Robast6.312.0010.620.125
$S_{k_{\\mathrm{c}}}$0.110.79-0.890
$S_{R_{\\mathrm{a}}}$-0.100.18-0.080
Optimized robast6.806.882.880.125
$S_{k_{\\mathrm{c}}}$0.010.79-0.340
$S_{R_{\\mathrm{a}}}$-0.030.18-0.010
"} {"image_path": "images/1654ba7ccfbb173295109111adfb57c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Matching interfaceTi(0 0 0 1)//TiN(1 1 1)Ti(0 0 0 1)//TiN(1 0 0)$\\mathrm{Ti}(1\\:1\\:\\bar{2}\\:0)//\\mathrm{TiN}(1\\:0\\:0)$
[u v w]Ti$[\\overline{2}\\:1\\:1\\:0]$$[\\bar{1}\\:1\\:0\\:0]$$[\\overline{1}\\:2\\:\\bar{1}\\:0]$$[\\bar{2}\\:1\\:1\\:0]$$[\\bar{1}\\:1\\:0\\:0]$$[\\bar{1}\\:2\\:\\bar{1}\\:0]$$[\\bar{1}\\ 1\\ 0\\ 0]$$[\\bar{1}\\ 1\\ 0\\ 1]$[0 0 0 1]
[u v w]TiN$\\left[1\\:0{\\bar{1}}\\right]$$[2\\:\\bar{1}\\:\\bar{1}$$[1\\:\\bar{1}\\:0]$[0 1 0][1 1 0][1 0 0][0 1 0][1 1 0][1 0 0]
θ(°)0001501502.5560
$dTi\\ (\\mathring{\\mathrm{A}})$2.9235.0632.9232.9235.0632.9235.0636.8624.631
$dTiN\\ (\\mathring{\\mathrm{A}})$2.9975.1902.9972.1192.9972.1194.2384.9944.238
δ (%)2.4614.4122
"} {"image_path": "images/1b82c5a19aad476a39efb19846f9a402.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ComponentTypeDensity $(\\times10^3\\ \\mathrm{kg/m^3})$Elastic $(\\times10^{5}$MPa)Yield strength $(\\times10^{5}$MPa)
Conventional cable dome
Ridge cableGALFAN, 1670 MPa7.851.601670
Hoop cable and diagonal cableGALFAN, 1670 MPa7.851.601670
Strut and inner rigid ringQ345B7.852.06310
Suspen-dome
Single-layer reticulated shellQ345B7.852.06310
Hoop cable and diagonal cableGALFAN, 1670 MPa7.851.601670
Strut and inner rigid ringQ345B7.852.06310
Geiger-type RBCD
Ridge beamQ345B7.852.06310
Hoop cable and diagonal cableGALFAN, 1670 MPa7.851.601670
Strut and inner rigid ringQ345B7.852.06310
"} {"image_path": "images/ba1f5f4aa5d15b72caddce48c29d7201.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
相关系数 标准差
股票债券 国库券
股票1.001.00- 0.180.49- 0.430.1313.6028.70
债券1.001.00- 0.280.153.6013.60
国库券1.001.000.403.00
"} {"image_path": "images/c7e31ed82fb4e5d66d5807fd9e356f61.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CountryConsumption FunctionLong Run MPC
OursSingh-Drost
1. CanadaDavis0.9480.930
2. FinlandModified Davis/DEF0.896/0.8950.896
3. GuatemalaModified Davis/DEF0.966/0.9670.966
4. HondurasDavis/DEF0.941/0.9490.944
5. IndiaDavis/Modified Davis/DEF0.915/0.933/0·9280.933
6. JapanDEF0.8020.813
7. PhilippinesDavis0.9410.914
8. SwedenDEF0.9010.893
9. U.K.Davis/DEF0.989/0.9320.944
10. U.S.A.Davis0.9390.936
"} {"image_path": "images/11d2160ed55656d799fcfd2f6f6d4907.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Derivationcohort N = 468patients, 646recordsValidationcohort N = 193patients, 215records
Demographic characteristics
Age (mean, std)71.9 (5.36)71.0 (5.11)
Male (%)169 (36.1)67 (34.7)
Race (N, %)
Caucasian419 (89.5)173 (89.6)
African American39 (8.3)15 (7.8)
Asian or IndianSubcontinent6 (1.3)2 (1.0)
Other4 (0.9)3 (1.6)
Ethnicity
Hispanic (N,%)14 (3.0)5 (2.6)
BSA m2 (mean, std),1.91 (0.3)1.90 (0.3)
Clinical characteristics(N, %)
Smoking22 (4.7)4 (2.1)
Diabetes77 (16.5) 25 (13.0)
Liver disease4 (0.9)4 (2.1)
Baseline INR (mean, std)1.01 (0.06)1.01 (0.05)
Target INR (N, %)
Target 1.8286 (61.1)126 (65.3)
Target 2.5182 (38.9)67 (34.7)
Primary indication (N, %)
Hip replacement126 (26.9)52 (26.9)
Knee replacement342 (73.1)141 (73.1)
"} {"image_path": "images/8ada741182d0ac4c652aeb25386834e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Expected signStatistics
Coefficient $(\\alpha)$t-value
Constant?$0.217^{***}$3.54
CV-$-0.167^{***}$-3.99
SIZE-0.0010.438
LEV+$-0.176^{***}$-3.99
CFO-$-0.655^{***}$-14.34
OWN+$0.064^{***}$3.35
Adj. R sq.0.291
F21.11
N758
"} {"image_path": "images/6de47c736096683f265d3063a497a00a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nomenclature
$C_n$is theconcentration of the considered particle classin the flotation cell (g/L)
$C_nf$is the concentration of particle class n in the froth(g/L)
$C_0f$is the concentration of particle class n at thepulp/froth interface (g/L)
$c_{\\text{pulp}}$is the pulp slurry concentration (g/L)
$dM_f /dt$is the particle downward flow from the froth in thepulp due to drainage (g/min)
ERICresidual equivalent flexo ink in the pulp (ppm)
FRTis the froth retention time (s)
his the froth thickness (cm)
$J_g$is the gas superficial velocity (cm/s)
$J_f$is the water superficial velocity in the froth (cm/s)
$k_n$is the flotation rate constant of particle class n(1/min)
$K_n$is the experimental flotation coefficient of particleclass n (1/m)
$L_d$is the water drainage rateconstant(1/s)
$Q_d$is the water drainage flow ($m^3/h$)
$Q_g$is the water upward flow in the froth ($m^3 /h$)
$\\ Q_{f}^{0} $is the water upward flow in the froth in the absenceof drainage ($m^3 /h$)
$Q_g$is the gas flow ($m^3 /h$)
$Q_{i n}$is the water flow at the inlet of the flotation unit($m^3/h$)
$Q_{out}$is the water flow at the outlet of the flotation unit($m^3/h$)
$r_{flexo}$is the average diameter of the reference flexo inkparticles (0.5 μm)
$r_{ink}$is the average diameter of ink particle (μm)
Sis the cross-sectional area of the flotation column($m^2$)
tis the flotation time (min)
Vis the flotation cell capacity ($m^3$)
Greek letters
$\\alpha$ correction coefficient used in Eq. (7)
$\\delta $is theparticle drainage coefficient
$\\varepsilon $is the water volume fraction in the froth
$\\varepsilon _0$is the water volume fraction at the froth/pulp slurryinterface
$\\phi $is the particle entrainment coefficient
"} {"image_path": "images/3e1fb1c051758f7a7f1fdaa43ebd4a45.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$t_1{}^{\\ast 1}$$^\\circ C$$P_1{}^{\\ast 2}$mmHgat $0^{\\circ}\\mathrm{C}$$P_2^{\\ast 2}$mmHgat $0^{\\circ}\\mathrm{C}$Flow rateg/sec$({\\times}10^5)$ $\\eta_{1}^{~\\ast 3}$poise$(\\times10^7)$ $\\eta_{2}^{~\\ast 4}$poise$(\\times10^7)$ $\\eta_{3}^{~\\ast 5}$poise$(\\times10^7)$ $\\eta_{4}^{~\\ast 6}$poise$(\\times10^{7})$ $\\eta_{5}^{~\\ast 7}$poise$\\left(\\times 10^{7}\\right)$
6.736.515.311.1646887913901.9907.6843.7
7.186.975.611.4104881905903.6909.4845.4
10.208.586.922.0476907927915.0921.1857.1
13.1010.488.452.9629923940925.9932.4868.2
15.4512.8410.424.2595932946934.8941.5877.3
17.1113.4710.934.6504932946941.1948.0883.7
17.7414.5611.815.4267935948943.4950.4886.1
19.9015.2012.315.8713940952951.6958.8894.5
20.5316.3213.196.7866942954954.0961.3896.9
22.2717.6114.227.8114951962960.6968.1903.6
23.3819.2915.649.2427947958964.8972.4907.9
24.0319.5215.849.3358953963967.3974.9910.4
27.1322.6018.3712.173964973979.1987.0922.5
27.1721.2917.1611.156966976979.2987.1922.6
29.0021.9917.6811.835972982986.2994.3929.7
100.0 $1270^{\\ast 8}$ 126112691208
151.2 $1450^{\\ast 8}$ 146514661410
207.1 $1680^{\\ast 8}$ 169316781632
261.3 $1900^{\\ast 8}$ 1918 1880 1847
20.0 $937.3^{\\ast 9}$ 952.2959.4895.0
92.4 $1178^{\\ast 10}$ 123112401178
107.3 $1242^{\\ast 10}$ 129012981237
210.1 $1638^{\\ast 10}$ 170516891644
312.9 $2049^{\\ast 10}$ 213620692050
366.2 $2261^{\\ast 10}$ 236422602258
406.4 $2422^{\\ast 10}$ 253924012414
20.00 $967.42^{\\ast 11} $
24.91 $969.40^{\\ast 11}$
"} {"image_path": "images/7eda89860cbcbfc2832f7cf10ca68d37.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\alpha$$E_{s}$ [Ry]$\\varepsilon_{2p\\uparrow}^{(s)}$$\\Delta$$a_{2p\\uparrow}^{(2)}$$a_{2p\\downarrow}^{(2)}$
B1-51.5488-547.6139.6-13.113.6
0.705-48.7310-420.457.4-4.211.4
C1-78.8815-781.6331.7-8.7516.2
0.935-78.0042-728.5290.5-6.7315.7
O1-155.6615-1223.2430.926.2-21.2
0.691-148.9284-903.0247.923.1-7.02
F1-206.4310-1356.0227.631.3-13.6
0.913-204.0439-1250.8201.230.4-9.75
"} {"image_path": "images/9095d6ec4685f658ba6c6727026ba8fe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DesignationChemical composition $(mmol~g^{-1})$Si/Al bulkSi/FAL
In this studyAs PQ productStructure typeNaAl$NH_4$
USYCBV 720FAU0.0091.3350.58611.626.5
MCBV 30AMOR0.0021.1290.68813.922.8
ZCBV 3200MFI0.0010.9650.59816.426.5
B1CP811 BL-25BEA0.0021.1010.77214.320.3
B2CP814 E22BEA0.0191.3050.92711.916.7
F-FER0.0321.0480.82515.019.1
"} {"image_path": "images/2ce884440798352ed31998ca8ea3443a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Ni_3(VO_4)_2$ : NiO10 : 09 : 17 : 35 : 53 : 71 : 90 :10
$R_0$ $(\\Omega)$1.081.891.861.931.832.011.84
$R_{ct}$ $(\\Omega)$0.210.160.090.110.111.100.11
"} {"image_path": "images/808f03bea5951f64f1aae351b460b88f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Primer setEfficiencyAmounts of target DNA (ng)$Specificity^{a}$
ActualEstimated
ID3-101.010.0100.00971421
RA4-10.950.0050.0051941
RA7-140.960.0150.01594508
RD5-300.990.0200.0234$Nd^{b}$
"} {"image_path": "images/988228a8f3f6bb30ae71ab3d9a8d7f25.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fish groupsFish nameMarket$share^a$(%)$\\mathrm{EPA}\\&\\text{DHA}^{\\mathrm{b}}$(mg/g)
TunaYellowfin tuna33.80.75
Bluefin tuna3.41.47-46
Albacore tuna19.21.87
Southern bluefin1.90.09-40
Bigeye tuna35.02.3
Other tuna6.711.6
Seabream and Flat fishRed seabream46.29.1-18.7
Porgy3.84.4
Black seabream2.36.7
Flounder40.01.64-11.8
Flatfish7.64.1-6.7
"} {"image_path": "images/eed3175056a7cde3d9efc7161c18c856.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample$T_g$(℃)$T_{50}$(℃)$T_1/T_2$(℃)$Y_c$(wt.%)$E_a$(kJ/mol)
Tris unitsMMA-GMA matrix
BPMGT70255(138)363(322)323(305)/376(354)15.7(0)63.4 (59.4)77.6(106.4)
BPMGT75255(136)370(324)325(309)/378(354)17.9(0)58.0 (51.2)75.0(118.0)
BPMGT80255 (135)364(330)332(310)/384(356)10.5(0)66.7 (62.7)80.7(119.4)
BPMGT85254(130)370(333)327(312)/385(357)8.0(0)70.8 (67.6)81.8(119.7)
BPMGT90252(130)368 (335)326(311)/388(357)7.8(0)84.3 (75.3)95.2 (119.8)
"} {"image_path": "images/b00de7904137a8f09c4f3944d3dc91eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TDFrinermanNICaSBonjerPatterson-KubicekPatterson-Kubicek-Frinerman
$\\text{Average CO (1 min}^{-1}\\text{)}$5.125.055.335.005.09
SD1.9522.0432.2181.7811.986
Correlation with TD0.9690.8410.8970.950
p value versus $NICaS^a$-$<0.001$ $<0.0005$ 0.33
Bias-0.06980.2107-0.1116-0.0302
SD of Bias0.5091.2030.8640.624
LL agreement-1.088-2.196-1.840-1.277
UL agreement0.9492.6171.6171.217
"} {"image_path": "images/c55ba0df1cdeeb475d1d84d97a8c16af.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Source of uncertaintyσ$dσ / dt$$dσ / d\\phi$
CLAS acceptance
- inhomogeneities6% 6%6%
- resolutions2%2%-
- $σ_{gen }(Q^{2}, x_{\\mathrm{B}}, t)$5%5%-
- $~\\mathcal{W}_{{gen }}(\\cos θ_{N},φ_{N},\\phi )$8%8%-
- radiative corrections4%-2%
- binning5%5%-
- ηMC4%2-7%2-20%
Electron detection
- ηCC1.5%--
- ηEC2%--
Background subtraction7-11%--
Point to point16-18%13-14%7-21%
Normalization3%9-12%14-16%
"} {"image_path": "images/ad1ddc0bc0bf3222164b60a00a551dd1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleRaw(pH)Pasteurized at 62°C
For 30min(pH)For 60min(pH)
16.756.716.71
26.776.696.69
36.706.626.62
46.736.656.65
56.686.636.64
66.816.786.78
76.786.736.73
86.636.576.57
96.656.606.61
106.646.586.58
"} {"image_path": "images/2416b473ca8d975bf9d162129eef50c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
代号产品名称规格型号及特征计量单位工程造价信息价(含税)工程造价信息价(不含税)
1701000513卷焊钢管1620 Q235Bt5659.005008.00
1701000514卷焊钢管1820 Q235Bt5659.005008.00
1701000515卷焊钢管2020 Q235Bt5659.005008.00
1701000516卷焊钢管2220 Q235Bt5659.005008.00
1701000517卷焊钢管2420 Q235Bt5659.005008.00
1701000701螺旋埋弧焊管219 Q235Bt5414.004791.00
1701000702螺旋埋弧焊管325 Q235Bt5416.004793.00
1701000703螺旋埋弧焊管377 Q235Bt5416.004793.00
1701000704螺旋埋弧焊管426 Q235Bt5503.004870.00
1701000705螺旋埋弧焊管529 Q235Bt5503.004870.00
1701000706螺旋埋弧焊管630 Q235Bt5622.004975.00
1701000707螺旋埋弧焊管720 Q235Bt5622.004975.00
1701000708螺旋埋弧焊管820 Q235Bt5622.004975.00
1701000709螺旋埋弧焊管920 Q235Bt5697.005042.00
1701000710螺旋埋弧焊管1020 Q235Bt5681.005027.00
1701000711螺旋埋弧焊管1220 Q235Bt5676.005023.00
1701000712螺旋埋弧焊管1420 Q235Bt5676.005023.00
1701000713螺旋埋弧焊管1620 Q235Bt5893.005215.00
1701000714螺旋埋弧焊管1820 Q235Bt5893.005215.00
1701000715螺旋埋弧焊管2020 Q235Bt5893.005215.00
1701000716螺旋埋弧焊管2220 Q235Bt5893.005215.00
1703000201镀锌焊接钢管15(4分) 壁厚2.5 Q235Bt6172.005462.00
1703000202镀锌焊接钢管20(6分) 壁厚 2.5 Q235Bt6069.005371.00
1703000203镀锌焊接钢管25(1寸) 壁厚 2.75 Q235Bt5888.005211.00
1703000204镀锌焊接钢管25(1寸) 壁厚 3.0 Q235Bt5857.005183.00
1703000205镀锌焊接钢管40(1.5寸) 壁厚 2.75 Q235Bt5800.005133.00
1703000206镀锌焊接钢管40(1.5寸) 壁厚 3.25 Q235Bt5749.005088.00
1703000207镀锌焊接钢管50(2寸) 壁厚 3.0 Q235Bt5700.005044.00
1703000208镀锌焊接钢管50(2寸) 壁厚 3.25 Q235Bt5700.005044.00
1703000209镀锌焊接钢管70(2.5寸) 壁厚 3.0 Q235Bt5555.004916.00
1703000210镀锌焊接钢管70(2.5寸) 壁厚3.5 Q235Bt5508.004874.00
1703000211镀锌焊接钢管80(3寸) 壁厚 3.5 Q235Bt5540.004903.00
1703000212镀锌焊接钢管 80(3寸) 壁厚 3.75 Q235B t5508.004874.00
1703000213镀锌焊接钢管100(4寸) 壁厚 3.5 Q235Bt5488.004857.00
1703000214镀锌焊接钢管100(4寸) 壁厚 3.75 Q235Bt5478.004848.00
1703000215镀锌焊接钢管125(5寸)壁厚 4.0 Q235Bt5829.005158.00
1703000216镀锌焊接钢管150(6寸) 壁厚 4.0 Q235Bt5849.005176.00
1703000217镀锌焊接钢管200(8寸) 壁厚 4.5 Q235Bt5960.005274.00
1703000218镀锌焊接钢管200(8寸) 壁厚 5.0 Q235Bt5819.005150.00
"} {"image_path": "images/79f4f52094bc1756e2e87c5642bd4ea5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\gamma_M in \\text{GeV}^5$
$\\Pi^0$$\\rho^0$$\\omega^0$$\\eta$$\\text{K}^0$$\\Pi$$\\rho^+$K$\\sum_{\\text {mod } \\iota} \\gamma_{M}$
$\\text{direct}^\\text{a}$0 00583880 00088270 00194340 00000060 00217460 00230120 00034880 00087040 01436
$\\text{direct}^\\text{b}$0 00382790 00078010 00177250 000000170 0019430 0015088 0 00030820 0007760 0109166
pole0 0196830 00213170 00185150 0010320 00101470 00773760 00083990 00026980 0345602
$\\text{total}^\\text{a}$0 04696340 00371490 00423420 00097760 00021840 01847880 00146370 0001710 076222
"} {"image_path": "images/e5f984c3648ffe7de76292d44ce01a64.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Toxic substanceConcentration (mM)Pluronic (0.01%,w/v)Surviving cells
Ethanol330Yes+
330No+
490Yes0
490No0
2-Propanol130Yes+
130No+
250Yes0
250No0
2-Butanol70Yes+
70No+
110Yes0
110No0
Radicicol0.2 μMYes+
0.2 μMNo+
2 μMYes0
2 μMNo0
"} {"image_path": "images/732726d5233a6e3db5ab423651b065bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Diameterof plate ininches. Thicknessof plate inmm.Observed values.Calculated values.
Frequencyloaded in air.(Measured.) Frequencyunloaded in air.(Calculated.)Frequencyloaded.Load ingrams
31·01,416~1,722~1,420~4·3
3$1\\cdot5^{*}$2,5202,5802,580Zero.
41.51,3501,4501,3304·3
42·01,8101,9401,7904·3
$6\\frac{1}{2}$3·09531,10094236·3
$6\\frac{1}{2}$4·01,3301,475 1,31036·3
$6\\frac{1}{2}$4.51,5001,6501,50040·0
$6\\frac{1}{2}$6.01,9222,1951,89567·0
75·01,4641,5851,45036·3
76·01,7301,9001,76636·3
76.61,9022,0951,95836·3
"} {"image_path": "images/80ea5d8c6f653bb48b5fa1ea9d842535.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ToothUpper rightUpper leftLower leftLower right
ex-aminer1ex-aminer2meanex-aminer1ex-aminer2meanex-aminer1ex-aminer2meanex-aminer1ex-aminer2mean
Seccnd molar0.9450.9210.9320.9660.8890.9260.9540.9830.9680.9380.9380.946
First molar0.8260.8650.8450.8800.8250.8510.7470.8630.8040.7890.8720.830
Secondpremolar0.9160.9600.9380.9030.9680.9340.8470.8440.8460.8610.9210.892
First premolar0.7840.9080.8420.9370.8030.8620.9610.9110.9360.9090.9830.944
Canine0.7950.9460.8691.0001.0001.0001.0001.0001.0001.0001.0001.000
Lateral incisor0.7821.0000.9000.7670.8610.826-0.017NV-0.017-0.017NV-0.017
Central incisor1.0001.0001.000NVNVNV-0.017NV-0.017-0.017NV-0.017
"} {"image_path": "images/543749a6e7b49e5414f7fca6874c89d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Data sourceLiBr (wt%)T (°C)No.of data usedStandard deviation
p* (%) $T^{dew}$ (K)
Lower [5]0-700 -1301853.20.56
ICT [15]0-450-100361.20.22
McNeely [6]45-640-1801401.80.29
Feuerecker et al. [9]40.4-70.345-190801.40.31
Iyoki and Uemura [23]38.9-70.3101-180404.91.36
Lenard et al. [13]43.8-65.2125 - 211243.51.17
Total0-70.30-2114872.90.63
"} {"image_path": "images/fea053737538980333aacf17d68237e4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelNo. of fittedparametersHPLC dataSPEC data
dfWSS Modelcomparison FdfWSS ModelcomparisonF
42911.33317.60
5282.72Ⅱ vs. Ⅰ88.6*300.86Ⅱ vs. Ⅰ235.1*
7261.45Ⅲ vs. Ⅱ11.4*
6272.72Ⅲ vs. Ⅳ22.8*
6272.82Ⅲ vs. Ⅴ24.6*
"} {"image_path": "images/a3d5873eb8a33768a38f03892f8f8917.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Water samples$COD^{standard~method}$(A)$COD^{CL~method}$(B)R.D.$(\\%)^a$
Saponin wastewater31783070-3.40
Dyeing wastewater 1350.6341.6-2.57
Dyeing wastewater 2447.8450.60.63
Garbage leakage liquid446.4416.6-6.67
Organic wastewater196.5206.75.19
East Lake water28.725.2-12.2
"} {"image_path": "images/29a4091e1286d128bc051eb42011ac8d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ligandlog RBA(expt.)$E_{int}$$\\Delta E_L$$\\Delta E_R$$\\Delta G_{\\text{solv}}$SF8
E22.00-73.233.2247.88-12.401.92
1a0.17-70.995.6340.63-10.69-0.04
1b0.02-71.478.0850.89-8.09-0.53
1c1.44-72.264.6838.08-10.070.76
1e0.45-72.876.1543.92-9.580.55
1f1.95-73.874.3052.38-8.201.93
1 h-2.40-65.297.8265.32-5.97-2.23
1 k-0.73-69.975.4555.36-7.430.15
1 l0.24-69.554.1949.39-8.960.31
1o-1.19-66.517.0962.51-8.59-1.62
1p-2.10-62.683.1534.93-11.15-2.19
2a-1.21-71.288.6644.48-11.75-1.11
2e-2.22-66.888.3852.66-8.70-2.29
3e-1.42-69.846.2736.46-12.32-0.87
3f2.2875.244.3040.58-8.982.10
4b1.78-76.825.4234.71-9.452.04
4e-0.36-71.116.0139.85-11.67-0.19
"} {"image_path": "images/a76b66955cca99f9a4991bd0ceb40d26.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DataComplex 1Complex 2Complex 3Complex 4
$\\lambda_{\\text{max}}\\ (\\text{nm})$510540460550
Beer's range (ppm)0-3.1750-3.810-3.1750-6.35
Ringbom range (ppm)0.281-0.212-0.173-0.344-
0.580.580.500.80
CC0.993830.994390.997880.995
S.D.0.009710.018510.012530.00691
$\\varepsilon\\ (\\text{l mol}^{-1}\\text{ cm}^{-1})$$5.6 \\times 10^{3}$$8.7 \\times 10^{3}$$8 \\times 10^{3}$$1.9 \\times 10^{3}$
$a\\ (\\text{ml g}^{-1}\\text{ cm}^{-1})$0.0880.140.1260.03
$S\\left(\\mu g\\ cm^{-2}\\right)$ 0.0110.0070.0080.033
MRM1:11:11:11:1
CVM1:11:11:11:1
CM1:11:11:11:1
$\\log \\ \\beta_{n}$5.183.674.695.32
$-\\Delta G^{*}$7062.55003.86394.47253.4
$\\mathrm{Y} \\times 10^{-5}$ 5555
$X\\times 10^{-5}$ 555.15
K (bulk-copper)127651056647523915
K (nano-copper)85E + 853E + 846E + 820E + 8
"} {"image_path": "images/a5ed648feaf881933f89c3ad24b39d9c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Bond lengths $(\\mathring A)$
N(5)—O(1)1.126(6)Os(1)—S(1)2.415(2)
Os(1)—N(5)1.781(5)S(1)—C(37)1.855(5)
Os(1)—N(1)2.062(4)C(37)—C(40)1.525(8)
Os(1)—N(2)2.060(4)C(40)—N(6)1.455(8)
Os(1)—N(3)2.068(4)N(6)—C(41)1.349(9)
Os(1)—N(4)2.060(4)C(41)—O(2)1.196(9)
Bond angles (°)
O(1)-N(5)-Os(1)176.8(5)N(5)-Os(1)-N(3)90.5(2)
C(37)-S(1)-Os(1)121.8(2)N(2)-Os(1)-N(3)90.0(2)
C(41)-N(6)-C(40)124.3(6)N(5)-Os(1)-N(4)95.2(2)
C(38)-C(37)-C(39)109.2(5)N(2)-Os(1)-N(4)175.7(2)
C(38)-C(37)-C(40)107.9(5)N(3)-Os(1)-N(4)90.0(2)
C(39)-C(37)-C(40)110.0(5)N(1)-Os(1)-N(2)89.7(2)
C(38)-C(37)-S(1)111.4(4)N(1)-Os(1)-N(3)176.4(2)
C(39)-C(37)-S(1)104.4(4)N(1)-Os(1)-N(4)90.0(2)
C(40)-C(37)-S(1)113.8(4)N(1)-Os(1)-N(5)93.1(2)
N(6)-C(40)-C(37)114.0(5)N(1)-Os(1)-S(1)87.91(12)
O(2)-C(41)-N(6)122.0(7)N(2)-Os(1)-S(1)96.43(12)
O(2)-C(41)-C(42)121.6(7)N(3)-Os(1)-S(1)88.58(12)
N(6)-C(41)-C(42)116.5(7)N(4)-Os(1)-S(1)79.26(12)
N(5)-Os(1)-N(2)89.1(2)N(5)-Os(1)-S(1)174.36(14)
"} {"image_path": "images/8a500218b0351ebb5376bbb95865a148.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份投 资 工 业 产 值粮食产量
总 产 值重 工 业轻 工 业
19736.19.58.710.610.2
19745.70.3-1.62.73.9
197517.615.116.813.03.4
1976-3.91.30.52.40.6
"} {"image_path": "images/93d501d86a49496a2b340d116366282b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Percentage of class timedevoted to administrative tasksPercentage of class time devotedto maintaining order
1212
Intercept-0.040.090.320.08
(0.25)(0.38)(0.25)(0.38)
Class size0.02**0.020.03***0.05***
(0.01)(0.02)(0.01)(0.02)
Class size > 20-0.02-0.02-0.03*-0.02*
(0.01)(0.01)(0.01)(0.01)
Advanced course-0.18***-0.18***-0.35***-0.35***
(0.05)(0.05)(0.05)(0.05)
Average test score-0.01-0.003-0.02***-0.001
(0.004)(0.01)(0.004)(0.01)
Avcrage SES-0.08**-0.08**-0.06**-0.07**
(0.03)(0.03)(0.03)(0.03)
Class length (minutes)-0.010.010.04**0.04**
(0.02)(0.02)(0.02)(0.02)
Teacher gender0.020.020.040.05
(0.04)(0.04)(0.04)(0.04)
Teacher experience (years)-0.01**-0.01**-0.04***-0.03***
(0.01)(0.01)(0.01)(0.01)
Teacher certificd in science-0.05-0.05-0.11-0.12
(0.08)(0.09)(0.09)(0.09)
Planning time (hours)-0.002-0.0020.0040.004
(0.01)(0.01)(0.01)(0.01)
Teacher's control over instruction0.00210:01-0.06**-0.06**
(0.005)(0.03)(0.03)(0.03)
Class Size X Score1000'0--0.001
(0.001)(0.001)
n1,8851,8851,8811,881
$R^2$0.020.020.110.11
"} {"image_path": "images/800018eda3923fd1bea84cb9685db9a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Hydraulic unit123
Location in EGr bogBottomMiddleTop
Calibrated horizontal hydraulic conductivity (cm $s^{-1}$)$10^{-4·5}$$10^{-5·6}$1
Calibrated vertical hydraulic conductivity (cm $s^{-1}$)$10^{-2·2}$$10^{-6}$10
Calibrated anisotropy ratio ($K_h/K_v$)$10^{-3·3}$2·30·1
Measured horizontal hydraulic conductivity (cm $s^{-1}$)$10^{-3·5}$$10^{-5·6}$Not measured
Measured vertical hydraulic conductivity (cm $s^{-1}$)$10^{-3·2}$$10^{-4}$$10^{-2}$
Measured anisotropy ratio ($K_h/K_v$)0·50·02Not applicable
Degree of decomposition (Von post scale)H3 - H4H8H1 - H4
"} {"image_path": "images/0fe902c3851832d639ee428b29416044.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SC10SC20
$E_{i}$MeasuredEstimated$E_{i}$MeasuredEstimated
MeanVarMeanVarMeanVarMeanVar
4.0J55.4323.7552.8532.184.9J31.592.4730.883.41
8.0J40.1423.7738.3317.558.9J25.150.5923.991.75
SG10SG20
$E_{i}$MeasuredEstimated$E_{i}$MeasuredEstimated
MeanVarMeanVarMeanVarMeanVar
3.0J39.706.0438.8813.043.0J32.451.7531.692.90
8.0J25.391.5726.652.758.0J26.410.4727.060.88
"} {"image_path": "images/6c57cbe7b8e404c0b34e52c7f879eef7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
cyclopeptide (code)amino acid $sequence^{a}$molecular formulaprotonated ion mass $(m/z)^{b}$
Seg-Acyclo-(Gly-Val-Pro-Val-Trp-Ala)$\\mathrm{C_{31}H_{43}N_{7}O_{6}}$$610.32^{20}$
cyclolinopeptide A (1)cyclo-(Ile-Leu-Val-Pro-Pro-Phe-Phe-Leu-Ile)$C_{57}H_{85}N_{9}o_{9}$$1040.65^{1}$
cyclolinopeptide B (2)cyclo-(Met-Leu-Ile-Pro-Pro-Phe-Phe-Val-Ile)$\\mathrm{C_{56}H_{83}N_{9}O_{9}S}$$1058.61^{4}$
cyclolinopeptide C (3)cyclo-(Mso-Leu-Ile-Pro-Pro-Phe-Phe-Val-Ile)$\\mathrm{C_{56}H_{83}N_{9}O_{10}S}$$1074.56^{4}$
cyclolinopeptide D (4)cyclo-(Mso-Leu-Leu-Pro-Phe-Phe-Trp-Ile)$C_{57}H_{77}N_{9}O{9}S$$1064.54^{4}$
cyclolinopeptide E (5)cyclo-(Mso-Leu-Val-Phe-Pro-Leu-Phe-Ile)$C_{51}H_{76}N_{8}O_{9}S$$977.52^{4}$
cyclolinopeptide F (6)cyclo-(Mso-Leu-Mso-Pro-Phe-Phe-Trp-Val)$C_{55}H_{73}N_{9}O_{10}S_{2}$$1084.47^{5}$
cyclolinopeptide G (7)cyclo-(Mso-Leu-Mso-Pro-Phe-Phe-Trp-Ile)$C_{56}H_{75}N_{9}O_{10}S_{2}$$1098.50^{5}$
cyclolinopeptide H (8)cyclo-(Mso-Leu-Met-Pro-Phe-Phe-Trp-Ile)$C_{56}H_{75}N_{9}O_{9}S_{2}$$1082.38^{5}$
cyclolinopeptide I (9)cyclo-(Met-Leu-Mso-Pro-Phe-Phe-Trp-Val)$C_{55}H_{73}N_{9}O_{9}S_{2}$$1068.35^{5}$
"} {"image_path": "images/0777c29c577da5aa6c23bf557a8f7ba9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
省级单位名称1998年1999年选 举单位数与最接近的单位数比较
合计合计
河南13497822131134669720432127比1998-4
湖北543847139049186413551330比1999-25
湖南1350100123511347100323502341比1999-9
广东3515511586139157017091608比1998+22
广西660703136364271813601359比1999-1
海南105203308104204308308同两年数
重庆829648147782863714651478比1998十1
四川3310169450043337170250395015比1998十11
贵州783680146377968514641465比1999+1
云南11554061561114941615651557比1998-4
西藏8913492562397720718比1999-2
陕西11228982020110585819632020同1998数
甘肃13432131556134219415361480比1999-56
青海4033944239040430438比1998-4
宁夏2316629723861299296比1998-1
新疆676174850672136808842比1998-8
合计25712192164492825557191844474144488
"} {"image_path": "images/0fca24b628838605cb0ba4995989f12c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指 示 剂变色范围 pH配 制 方 法
甲基橙-二甲基赛安路 FF 混合指示剂 ( 也称遮蔽指示剂 )红 3.0~4.4 黄 称取甲基橙 1.0g,用 500mL 水完全溶解。另称 1.8g 蓝色染料二甲基赛安路 FF , 用 500mL 酒精完全溶解 ,然后将两种指示剂混合均匀。取 2 滴指示剂用于酸碱滴定 ,检验是否有明显的颜色变化。如终点呈蓝灰色 , 可在指示剂中滴加甲基橙少许 ( 0.1% ) ;如终点呈灰绿色稍带红 , 可滴加少许蓝色染料。调至有敏锐的终点 ( 即从碱性变到酸性由绿色变为浅灰或无色 ) 后 , 贮存于棕色瓶中
甲 基红红 4.2~6.2 黄 0.10g 溶于 18.60mL $0.02mol\\cdot L^{-1}~NaOH$ 中,用水稀释至 250mL
溴百里酚蓝 ( 溴麝香草酚蓝 )黄 6.0~7.6 蓝 0.10g 溶于 8.0mL $0.02mol\\cdot L^{-1}~NaOH$ 中,用水稀释至 250mL
中性红红 6.8~8.0 黄0.10g 溶于 70mL 乙醇中,用水稀释至 100mL
百里酚蓝 ( 麝香草酚蓝 )(第二次变色)黄 8.0~9.6 蓝 0.10g 溶于 10.75mL $0.02mol\\cdot L^{-1}~NaOH$ 中,用水稀释至250mL;0.10g 溶于 100mL 20\\%乙醇中
酚酞无色 7.4~10.0 红1.0g 溶于 60mL 乙醇中,用水稀释至 100mL
邻甲酚酞无色 8.2~10.4 红0.10g 溶于 250mL 乙醇
靛蓝二磺酸钠( 靛红)蓝 11.6~14.0 黄0.25g 溶于 100mL 50%乙醇
溴酚蓝黄 3.0~4.6 蓝0.1g 指示剂溶于 100mL 20%乙醇
刚果红蓝紫 3.0~5.2 红0.1% 水溶液
溴甲酚绿黄 3.8~5.4 蓝0.1g 指示剂溶于 100mL 20%乙醇
溴酚红黄 5.0~6.8 红0.1g 或 0.04g指示剂溶于 100mL 20%乙醇
酚红黄 6.8~8.0 红0.1g 指示剂溶于 100mL 20%乙醇
中性红红 6.8~8.0 亮黄0.1g 指示剂溶于 100mL 60%乙醇
百里酚酞无色 9.4~10.6 蓝0.1g 指示剂溶于 100mL 90%乙醇
"} {"image_path": "images/53ed951c734351bab90dd70078756958.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Test segment nosat,rcm at 16·4 kNp, barQ2, kNThe distance between the centre and the bottom of the tyre $\\left(r_{c b}\\right), \\mathrm{~cm}$
MinimumMaximumAverageInterval
190·21·419·2678·292·186·813·9
290·21·4 19·8178·092·087·114·0
390·21·419.9382·0 91·087·29·0
490·21·420·0579·093·088·014·0
585·81·019.4277·088·583·211·5
683·60·819-2075·586·080·910·5
790·21·417·2283·092·087·99·0
888·01·219·8078·091·085·213·0
981·40·619.6374·583·579·19·0
"} {"image_path": "images/74128c07a542ca257edc8508b3ef293a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SamplePhaseMgAlCaTiSiO
A1rutile——0.12-32.60-67.28
base phase3.335.477.764.2913.2565.89
A4$\\mathrm{Mg}_3\\mathrm{A}_{14}\\mathrm{Ti}_8\\mathrm{O}_{25}$7.997.74——24.98——58.93
base phase2.667.766.523.9011.6767.49
B1perovskite——-19.5720.09——58.62
base phase3.475.507.964.6813.1065.28
"} {"image_path": "images/1d3f7f54c072242b83e2934b916b68eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StrataTotal biomass(t $ha^{-1}$)Foliagebiomassin 1981(t $ha^{-1}$)Accumulation(t $ha^{-1}~year^{-1}$)Mortality(t $ha^{-1}~year^{-1}$)$NPP^1$(t $ha^{-1}~year^{-1}$)
19811986
1175.8186.43.742.120.794.28
2620.5576.18.06-8.8812.576.63
3211.3209.53.83-0.361.302.34
4374.5358.35.93-2.183.423.40
5263.9265.03.560.223.965.47
$mwa^2$272.3266.84.35$-0.93^3$2.743.54
sd53.849.10.551.031.512.35
"} {"image_path": "images/2787d2c4857455296753567235dad275.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\text{Effect of }\\Gamma_K$$\\text{Effect of }\\Omega_K$
$v_K^{(M)}$$\\Gamma_{K}$$\\Omega_{K}$$v_K^{(M)}$$\\Gamma_{K}$$\\Omega_{K}$
0.9022.2(-1.0,8.0)0.9022.2(-1.0,8.0)
0.9022.2(-0.5,7.5)0.9022.0(-1.0,8.0)
0.9062.0(-0.5,7.5)0.9062.0(-0.5,7.5)
0.9331.8(-0.5,7.5)0.9212.0(0.0, 7.0)
0.9681.6(-0.5,7.5)0.9562.0(0.5, 6.5)
"} {"image_path": "images/3bd138fac8100a0122f6c734b3f6f67f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Level of Agreement between CodesFiguresRelevantSections
Gas surface density (cylin-drically binned)averaged fractional deviation for 2 < r < 10 kpe = 32.2% (0.121 dex) (see footnote 70)Figure 5Section 6.1
Gas surface density (verticallybinned)averaged fractional deviation for z< 0.6 kpc = 30.4% (0.115 dex)Figure 7Section 6.1
Gas average vertical heightaveraged fractional deviation for 2 < r< 10 kpc = 19.1% (0.076 dex)Figure 9Section 6.1
Gas rotation velocityaveraged fractional deviation for 2 < r< 10 kpc = 2.8% (0.012 dex)Figure 11Section 6.2
Gas velocity dispersionaveraged fractional deviation for 2 < r < 10 kpc = 17.8% (0.071 dex)Figure 13Section 6.2
Gas density probabilitydistributionaveraged fractional deviation in $10^{-25}<\\rho<10^{-22}\\:{g\\:cm}^{-3}=28.6\\%\\:(0.109\\:\\mathrm{dex})$, up to morethan an order of magnitude difference at $\\rho>10^{-22}\\:\\mathrm{g}\\:\\mathrm{cm}^{-3}$Figure 19Section 6.3
Newly formed stellar surfacedensityaveraged fractional deviation for 2 < r < 10 kpc = 53.9% (0.187 dex)Figure 22Section 6.4
Newly formed stellar clumpmass functionall data points lie within a factor of ~3 from the mean at each massFigure 23Section 6.4
Newly formed stellar rotationvelocityaveraged fractional deviation for 2 < r < 10 kpc = 2.5% (0.011 dex)Figure 24Section 6.5
Newly formed stellar velocitydispersionaveraged fractional deviation for 2 < r <10 kpc = 11.2% (0.046 dex)Figure 25Section 6.5
Galaxy-wide star formation rateaveraged fractional deviation for 50 < t< 500 Myr = 32.8% (0.123 dex)Figure 26Section 6.6
KS relation (azimuthallyaveraged)all data points lie within a factor of ~3 from the mean at each $\\begin{matrix}\\sum_{gas}\\end{matrix}$Figure 28Section 6.6
KS relation (patch-averaged)all data points lie within a factor of ~3 from the mean at each $\\begin{matrix}\\sum_{gas}\\end{matrix}$Figure 31Section 6.6
"} {"image_path": "images/ddb2c99307381f8f6b9d4b9daa9c2f31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
hHWCMIn [5]
Method 1aMethod 1bMethod 2Method 3Method 1a(2)Method 3(2)
1/325.2585e-124.84e-031.30e-029.08e-044.84e-036.06e-046.06e-04
1/642.4630e-131.66e-037.40e-033.32e-041.66e-032.73e-042.73e-04
1/1283.3482e-165.74e-044.02e-031.20e-045.74e-041.13e-041.13e-04
1/2565.5057e-212.00e-042.12e-034.30e-052.00e-044.46e-054.46e-05
1/5124.2352e-227.00e-051.10e-031.54e-057.00e-051.70e-051.70e-05
"} {"image_path": "images/59b70c6eed33733f515e410aadc22274.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Solvent$no.^a$Distribution coefhcients
18℃25°C30℃35℃
Dye $la^b$16.836.064.872.62
228.4423.6020.2018.00
314.9614.2013.9813.25
Dye 1b16.095.023.963.34
241.4624.3311.261.70
315.429.814.422.98
Dye 1c110.367.244.882.75
252.9636.9018.8815.30
320.1114.823.923.27
Dye 1d121.1710.937.743.91
285.2575.6773.2068.00
332.0122.4715.127.20
"} {"image_path": "images/015e828f12a90dd23ee2695af25e99dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PlantmaterialElemental compositionADFADSOM
CarbonNitrogen
Reed48.552.1351.637.0
Japanese cedar51.911.0193.95.9
Moso bamboo50.410.8879.319.7
L. eduilis49.960.8684.913.8
"} {"image_path": "images/8b602c80a4556ae933cb4b105ef87165.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\rho_{xy}$$\\lambda_{\\max }$
$S_{\\mathrm{RP}}(\\ell)$-0.52
$S_{\\mathrm{RP}}^{white}(\\ell)$-0.67
$S_{\\mathrm{WRP}}(s)$0.85
"} {"image_path": "images/b3ae376c2439ae0bd307d44075f68550.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ProjectJinping Station I(JY)Ertan Station(ET)
Monthpenaltycoefficient crelaxationcoefficient gpenaltycoefficient crelaxationcoefficient g
1126.3230.35321.5200.258
1230.4780.75036.9000.804
135.1390.07923.5470.032
215.8330.07716.4490.392
319.4240.07463.0155.927
419.3660.03715.0077.861
58.7000.001160.90615.130
648.81910.00026.9803.586
7249.5443.82180.9133.372
837.0410.172164.3547.413
916.8750.17117.4910.473
1028.8980.89843.9170.383
"} {"image_path": "images/12fd3fa05c6752ec3a6eb192c78490a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n$\\tau$r
1020304050
201030.4820.7219.6818.2416.56
5044.5644.5642.3235.2029.12
10044.5644.5644.5644.5644.32
20044.5644.5644.5644.5644.56
50044.5644.5644.5644.5644.56
501030.4818.5612.809.768.16
5058.7245.8444.8034.4830.00
10065.6857.1245.9245.8445.84
20065.6865.6865.6056.2447.12
50065.6865.6865.6865.6865.68
1001026.1610.725.843.362.24
5060.8847.3636.2430.7225.28
10062.4860.8851.2047.3643.44
20075.9261.8460.8860.8860.40
50075.9275.9275.9275.1261.60
2001016.083.441.040.320.16
5061.6043.0428.9620.6414.56
10072.0861.6851.9242.4035.20
20072.1672.0862.0061.6052.32
50083.0481.2872.0872.0872.08
"} {"image_path": "images/d1af4bb53dec80321136bc7848d2fa91.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Thrust $T_{v}$ measurements versus to drill diameter and feed (N)
Drilldiameter,d (mm)Drill feed, f (mm/rev)
0.152mm/rev0.178mm/rev0.254mm/rev0.304mm/rev0.356mm/rev
1022702707392846855676
1225503140428352976243
1428253419441654006540
15.530403678463756006776
"} {"image_path": "images/a267964904bcae05d496ef900268bd74.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1000-2000 元2000-3000 元3000-4000 元4000-5000 元5000-6000 元6000-8000 元8000-10000 元10000 元以上
32.7529.1261.3755.0564.3175.7055.16139.59
32.7529.1261.3755.0561.3170.7255.0575.68
3.004.990.1163.91
191.43200.10296.37397.59408.60416.60283.471130.51
191.43200.10296.07393.64408.58413.46283.471127.30
0.303.950.023.133.21
252.8021.8016.0922.7855.5298.55171.591302.56
252.8016.1816.0921.8251.9096.88163.901282.13
5.630.963.621.687.6920.42
52.3870.2468.14112.3791.63186.71448.371996.09
45.9123.7133.8065.7054.6693.00245.271563.21
28.282.295.803.1825.1521.048.50315.00
17.6321.4127.9962.5229.5171.97236.771248.21
6.4746.5334.3546.6736.9793.71203.10432.88
16.03
6.4746.5334.3546.6720.9593.71203.10432.88
176.35148.34214.03256.73459.50715.081011.392467.71
0.010.160.532.121.250.480.07
176.35148.33213.88256.20457.38713.841010.902467.64
128.6030.3458.4977.07206.49206.49328.611034.82
47.0672.23128.82134.98159.43159.43475.43966.01
0.2731.0710.3536.3864.4772.6790.34252.20
"} {"image_path": "images/e389b1deb217299e5f11bb9385529815.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 2 - Values of $C_1$ and n for the various exposureconditions and concrete mixes
ExposureconditionConcrete mix$C_1$[% wt.of concrete]n
Spray zoneC1 0.24 0.47
C20.200.51
C30.220.48
Tidal zoneC10.380.37
AtmosphericzoneC10.12 0.54
C20.090.69
C30.100.59
Dockyard 20C1 0.21 0.47
C20.140.54
C30.120.59
Dockyard 21C30.310.33
"} {"image_path": "images/6bafaf79068691a4ee5db0e27ebaa5a7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CitiesSO$_2$NO$_2$PM$_{10}$
200120082001200820012008
Jinan0.0580.0560.0370.0220.1450.126
Qingdao0.0520.0540.0230.0280.0980.09
Zibo0.060.0570.0240.0330.1060.092
Zaozhuang0.0430.0580.0280.0320.2340.094
Dongying0.0480.0530.010.0350.0830.091
Yantai0.050.0460.0250.0380.0930.077
Weifang0.0530.0830.0370.0390.1790.116
Jining0.0580.0590.0420.0620.2610.104
Taian0.0440.0470.0340.0270.1980.081
Weihai0.0290.0270.020.0280.0660.058
Rizhao0.0150.0260.0250.0310.1530.067
Laiwu0.0580.0580.0390.0330.2230.096
Linyi0.0380.0580.0390.0420.2750.097
Dezhou0.0430.0640.0490.0280.3280.150
Liaocheng0.0340.0710.0270.0500.2350.130
Binzhou0.0570.0750.0330.0370.2560.133
Heze0.0260.0780.0280.0380.3560.111
"} {"image_path": "images/cba4fdb6652c63ec62a0f5399f6702d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
realincidentsdetectedincidents%detectionfalse alarmnumberper camera% offalsealarm
24224099 %10 %
"} {"image_path": "images/75a2462def3ffd40b260fdf4a406d827.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
line $2^{4}$$ 2^{3}$$2^{2}$$2^{1}$$2^{0}$$k^{\\cdot}$
00 000011
11000-115
20100-17
31-10019
40010-13
510-10113
601-1015
71- -110-111
"} {"image_path": "images/14e9416256d79008bf70735d0819e461.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Crude oil no. OriginSaturates (wt.%)Aromatics (wt.%)Resins (wt.%) Asphaltenes (wt.%)Water (wt.%)Yield (wt.%)
MeanSdev
Calibration set
1Brazil33.546.518.81.20.10.8100.8
2Brazil38.836.612.61.90.10.990.9
3Brazil30.543.220.95.00.30.299.9
4China36.030.822.13.10.19.6101.5
5Mexico43.029.710.41.20.10.384.5
6North Sea26.538.820.52.80.112.6101.3
7West Africa46.937.914.01.70.00.1100.6
8Brazil33.638.116.812.90.20.1101.7
9North Sea45.032.99.81.20.10.289.2
10North Sea45.738.611.50.80.10.196.6
11North Sea43.632.97.20.60.00.484.8
12North Sea33.042.811.63.90.00.591.8
13China32.032.528.54.30.21.298.6
14West Africa53.130.98.21.00.00.293.3
15Brazil33.438.618.24.60.20.194.8
16Brazil37.342.614.13.80.40.398.1
17North Sea41.533.37.00.20.00.182.0
18Brazil26.041.121.910.20.30.199.4
19North Sea44.326.38.10.20.00.579.4
20France23.147.511.55.40.14.291.7
Replicates
5'Mexico43.329.58.11.20.10.382.4
8'Brazil34.936.216.012.30.20.199.5
11'North Sea44.430.26.90.60.00.482.5
15'Brazil34.841.218.94.60.20.199.6
18'Brazil26.140.721.910.60.30.199.3
"} {"image_path": "images/99fb7605806891d736d99348351fcb63.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Laser power(kW)r(mm)Standard deviation of e
s = 520.05440.0621
40.19960.0885
60.07880.1042
80.07200.0924
100.15020.1501
s = 620.05310.0663
40.19870.0992
60.08820.1137
80.06240.0773
100.15600.1565
s = 720.05130.0606
40.18640.1026
60.09110.1171
80.06890.0845
100.15710.1570
"} {"image_path": "images/2404e16b6b27cf96745429652028f9c4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Density, 70^{\\circ} \\mathrm{F}$$\\text{ ppg}$For One Barrel Brine
$\\text{Pounds Dry }\\mathrm{CaCl}_{2}$Barrels Fresh Water
8.57.60.996
9.034.90.977
9.563.80.956
10.093.60.932
10.5123.90.906
11.0155.20.880
11.5186.30.847
Data from OSCA Technical Manual
"} {"image_path": "images/527e8f54a3ef5d1fbf42343e5ace67bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FOCUS STEP1ScenarioDay afteroverallmaximumPEC$_{SW}$(ug/L)$ \\mathrm{PEC}_{\\mathrm{SED}}(\\mu \\mathrm{g} / \\mathrm{kg}) $
ActualTWAActualTWA
Pome fruit$(2 \\times 288 \\mathrm{~g}$as/ha)RH-2651
0 h43.744.8
7 d42.744.1
21 d42.444.3
RH-2703
"} {"image_path": "images/ca6db28c436b5105cd7320fbde9720d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Formula
Materials$T_1$$T_2$$T_3$$T_4$
Cement (Portland),gr400410420430
Sand, 0-2 mm846584700670
Aggregate,2-4mm522520512310
Aggregate,4-8mm432686598890
Water,ml180180180180
Additives,ml4444
Initial activity $\\mathrm{A}_o(\\mathrm{kBq})$${}^{137}Cs$Per sample60,0
"} {"image_path": "images/bd7ec09a967a4cb8fb9b93d2ffcac787.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SteelDockingMonthWorkingConditionWater TemperatureDifference (°C)Air TemperatureDifference (°C)AxialStress(MPa)LoopStress(MPa)EquivalentStress (MPa)
31-0.6-12.424.60.624.3
216.821.7-254.4-6.3261.6
43-1.8-20.554.42.453.2
415.613.6-240.4-5.9231.5
55-4.4-27.6101.12.2100
6136.5-220.5-5.2218
97-13-26.1203.94.7201.6
84.48-99.5-2.498.3
109-8.3-19.1140.94.8138.5
109.115-151-4.4148.8
1111-2.4-10.191.8-4.894.3
121524-280-7.2276.4
"} {"image_path": "images/77d42efceedf632d3d1d1a08e2b25464.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
運 動 1 小 時 所 消 耗 的 熱 量(單 位 : 大 卡)
運 動 項 目體 重
40 公 斤60 公 斤80 公 斤
走 路慢 走140210280
快 走220330440
跑 步慢 跑328492656
快 跑5087621016
騎 腳 踏 車一 般 速 度160240320
快 速 度336504672
"} {"image_path": "images/e186a2e90454deba761e1500208048d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
198619931996199820002002
出口进口出口进口出口进口出口进口出口进口出口进口
亚洲60.946.457.360.260.459.953.462.153.162.852.364.5
日本16.128.717.222.420.421.016.220.116.718.414.918.1
香港28.012.024.010.121.85.621.14.817.94.218.03.6
新加坡0.40.62.42.52.52.62.13.02.32.22.12.4
$东盟^①$5.15.86.47.76.09.07.010.07.210.6
韩国5.25.15.09.03.410.74.510.34.89.7
台湾1.612.41.910.92.111.92.011.32.012.9
北美10.112.919.811.618.713.521.813.722.211.622.810.5
美国9.110.718.510.317.711.620.712.120.99.921.59.2
加拿大1.02.31.31.31.11.91.21.61.31.71.31.2
欧洲21.131.917.923.115.819.918.218.818.218.118.218.1
$欧盟^②$12.713.913.114.315.314.815.313.714.813.1
$德国^③$4.09.54.35.83.95.34.05.03.74.63.55.6
英国1.92.52.11.62.11.42.51.42.51.62.51.1
法国1.21.81.41.61.31.61.52.31.51.81.31.4
意大利1.22.11.42.61.22.31.41.61.51.41.51.5
荷兰0.90.61.80.72.30.72.80.62.70.62.80.5
俄罗斯2.94.81.13.71.02.10.92.61.12.8
非洲2.40.71.71.01.71.12.21.12.02.52.11.8
大洋洲0.94.21.32.31.32.81.52.21.62.61.62.3
拉丁美洲1.53.71.91.92.12.62.92.12.92.42.92.8
"} {"image_path": "images/ffb80d0b8a215978a4762a053c6a68ad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x$H^{\\mathrm{E}}$x${H^{E}}$x$H^E$x$H^E$
${\\mathrm{J}~ \\mathrm{mol}^{-1}}$${\\mathrm{J}~ \\mathrm{mol}^{-1}}$${\\mathrm{J}~ \\mathrm{mol}^{-1}}$${\\mathrm{J}~ \\mathrm{mol}^{-1}}$
0.1529-4.3930.4815-8.3960.7997-5.4130.9121-2.760
0.1688-4.7580.4921-8.5650.8022-5.5290.9133-2.701
0.1823-4.7970.5254-8.5570.8081-5.2730.9285-2.305
0.1841-5.0920.5372-8.3240.8122-5.2040.9335-2.102
0.1988-5.4060.5551-8.3710.8228-4.7530.9419-1.842
0.2130-5.6880.5959-8.2350.8239-4.9400.9454-1.778
0.2268-5.9480.6186-8.1410.8252-4.9350.9547-1.465
0.2292-5.9710.6431-8.0180.8385-4.6480.9629-1.235
0.2709-6.8010.6596-7.7000.8404-4.5780.9768-0.769
0.3084-7.0920.6697-7.7090.8439-4.5610.9811-0.633
(1 - x)(R)-(-)-Butyric acid oxiranylmethyl ester+x(S)-(-)-butyric acid oxiranylmethyl ester
0.088543.1000.32809.0690.469710.460.62949.763
0.088933.2910.32989.2290.492810.520.66999.103
0.089593.0110.36829.6910.493910.460.67099.139
0.16275.4690.36939.6540.496010.470.71738.213
0.16335.3220.37139.7730.503710.600.71828.266
0.16455.4490.404810.070.504810.600.77186.969
0.22577.1680.405910.020.530010.540.77267.042
0.22657.0440.407910.140.531110.560.83545.238
0.22797.1820.437310.350.559210.370.83605.271
0.27988.3060.438510.280.560210.430.91032.939
0.28088.2760.440510.360.591810.140.91072.937
0.28258.3870.466510.490.592810.16
0.32699.1250.467710.420.62859.730
"} {"image_path": "images/d78493cec20f06f93016c4b9be0e45af.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Average degree ofconsolidation, U/%Increasing rate of consolidation time, $E_{t}$/%
$\\lambda = 20\\%$$\\lambda = 40\\%$$\\lambda = 60\\%$$\\lambda = 80\\%$
8025.9311.824.801.12
8524.8911.324.591.08
9023.9110.854.401.03
9522.8710.354.190.98
"} {"image_path": "images/552e105ce6fd2d130a895510d87c1c10.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FPKM values (standard deviation)
JGIproteinIDRWS24hrsRWS+Bacteria 24hrsRWS+Bacteria 72hrsPfam/InterprodomainBest Blastp hit [taxon] (sequence identity)
121020701.75(0.95)0.28 (0.05)NDHypothetical protein CONLIGDRAFT_716048[Coniochaeta ligniaria NRRL 30616] (79%)
127871903.62(1.25)0.67 (0.33)NDHypothetical protein CONLIGDRAFT_440819[Coniochaeta ligniaria NRRL 30616] (44%)
1286908 0.22(0.06)34.10(8.26)1.15 (0.37)NDGalactose oxidase protein [Rutstroemia sp. NJR-2017aWRK4] (43%)
302642 0.77(0.18)53.63(7.40)117 (4.44)Domain of unknownfunction (DUF3328)tat pathway signal sequence [Coniochaeta ligniaria NRRL30616] (68%)
501728 2.65(1.17)540.24(65.85) 2065.39(180.59)NDHypothetical protein CH63R_10743 [Colletotrichumhigginsianum IMI 349063] (57%)
$977649^a$ 4.05(1.74)715.78(107.07)2366.56(190.62)Multicopper oxidaseBilirubin oxidase [Colletotrichum higginsianum IMI349063] (73%)
1292083* 0.17(0.05)74.30(32.32) 920.94(210.37)Multicopper oxidaseMulticopper oxidase $[\\text { Meliniomyces bicolor E}]$(75\\%)
1084612 3.82(0.95)316.75(145.34) 4236.81(1263.20)NDHypothetical protein CONLIGDRAFT_68186 [Coniochaetaligniaria NRRL 30616] (64%)
390783 2.93(0.95)285.23(122.35) 2551.26(795.94)NDNM
104644601.39(0.31)1.24 (0.35)Glycoside hydrolasesuperfamilyGlycoside hydrolase family 79 protein [Hyaloscyphavariabilis F] (74%)
10790263 (0.36)446.63(8.36)507.85 (91.67)NDHypothetical protein DL546_000384 [Coniochaetapulveracea] (50\\%)
1232275 5.14(1.25)415.10(24.74)444.79 (33.37)Conidiation protein 6Putative protein of unknown function [Podospora comata](83%)
1211584 0.80(0.12)261.08(34.52)306.38 (49.42)ND Hypothetical protein FIE12Z_3876 [Fusarium sp.FIESC_12] (44%)
1071462 4.77(0.06)686.83(77.11)880.60 (81.03)NDHypothetical protein DL546_000384 [Coniochaetapulveracea] (52\\%)
$496210^a$ 4.88(2.00)532.48(69.90)777.69 (74)Multicopper oxidaseBilirubin oxidase [Colletotrichum incanum] (70%)
496226 3.07(2.04)552.45(56.75)880.08 (80.04)NDHypothetical protein VD0004_g3696 [Verticillium dahliae](61%)
"} {"image_path": "images/2b8c1b6b786ebb0e7bf07924e37eae3a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Langmuir parametersFreundlich parameters$Q_{max}$ calculated from Butlerand Ockrent's extendedLangmuir model$R^2$
Equation$Q_{max}$$R^2$Equation$R^2$
IndividualCu(II)$y=0.071x + 4.586$0.2230.981$y=0.451x - 0.006$0.971--
Cd(II)$y=0.043x + 4.941$0.2050.973$y=0.501x - 0.009$0.997--
Pb(II)$y=0.037x + 1.483$0.1310.971$y=0.466x + 0.340$0.999--
In mixtureCu(II)$y=0.102x + 4.374$0.1540.973$y=0.326x + 0.142$0.9340.035
Cd(II)$y=0.124x + 7.220$0.0720.989$y=0.359x - 0.043$0.9620.058
Pb(II)$y=0.079x + 3.231$0.0610.992$y=0.374x + 0.160$0.9440.025
"} {"image_path": "images/5286c9ba7298f20479eb6ccff7fffcd7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
k$\\varepsilon$$\\|X\\|_{F}$$\\|\\hat{X}\\|_{F}$$\\|\\hat{X}-X\\|_F$$\\|C-C_0\\|_F$$\\|D-D_0\\|_F$
1012048603243.66001.4354e+34.3374e+3
10e-22020 01880436614354443 3737
10e-42020 00010.00440.14350.4337
10e-62020 00004.366e-51.440e-34.3374e-3
501100248 4463227.27021 2625e+055.3402e+05
10e-2100100.02952.27271.2625e+035.3402e+03
10e-4100100.00000.022712 625253 4021
10e-6100100 00002.2727e-4012630.5341
1001200499.9239458.08358.9445e+54 2712e+6
10e-2200200 05454.58088.9445e+34.2712e+4
10e-6200200.00004 5808e-4089454.2761
10e-8200200.00004.5833e-60.01750.0568
20014001.0031e+3919.84856.5560e+63.4174e+7
10e--2400400 1068919856 5560e+43 4174e+5
10e-6400400.00009.1987e-46.639034.4747
10e-8400400 00009.7656e-61.05115 4514
"} {"image_path": "images/78f77e3934b703a0f2af2cd4b4eaf926.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Figure 4datatype of data pointsno. of data points $(n)$ used inregressionreactivityratio(s) standarddeviation $( \\pm)$95% confidenceinterval
4a1-4% conversion from each of ten experiments10$r_{\\mathrm{DMA}}=1.120$0.1260.871-1.483
$r_{\\text {FOSA }}=1.678$0.2041.273-2.266
4b10% conversion from ten experiments10$r_{\\mathrm{DMA}}=1.132$0.1290.878-1.506
$r_{\\text {FOSA }}=1.692$0.2081.281-2.298
4cincremental conversion across all conversions from ten experiments114$r_{\\mathrm{DMA}}=1.126$0.0311.067-1.191
$r_{\\text {FOSA }}=1.624$0.0481.530-1.726
4dincremental conversion across all conversions from fourexperiments (subset of 10)52$r_{\\mathrm{DMA}}=0.887$0.0280.832-0.946
$r_{\\text {FOSA }}=1.299$0.0351.232-1.373
4eincremental conversion across all conversions from fiveexperiments (different subset of 10)62$r_{\\mathrm{DMA}}=1.266$0.0411.187-1.353
$r_{\\text {FOSA }}=1.883$0.0721.748-2.033
"} {"image_path": "images/6b1c42f7ccbf2c74838f1c032cafb9bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SiteElevation (m)Approximate size (ha)or dimensionsType of aquatic habitatYears
Ponds and Reservoirs
Yoncalla1202 haAdjacent unused loggingponds1993-94
Cooper244ca. 150 m × 2.5 kmArtificial reservoir1994
Alligator8951 haImpoundment of wetland1995, 1997
Carmine7302 haImpoundment of wetland1997-98, 2007
Blue Bluff7300.5 haFormer gravel borrow pit1994, 1996,2007
Rawlins7240.5 haImpoundment ofdepression1995-97
Streams and Rivers
Cow Creek3052-3 m wideCreek1996
Jackson Creek4302 m wideCreek1994, 1996-97
S. Umpqua River42515 m wideSmall river1997-98
Jenny Creek1,1152-3 m wideCreek1994-96
"} {"image_path": "images/260e59a24c7e26f4f2c8f602e4ac6b11.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SystemTemperature (K)SlopeInterceptAssociation constant$(Ka)/(M^{-1})$
$AMB+\\alpha CD$293.150.0007253.063914226±1195
303.150.0004564.101258993±1765
313.150.0004477.0825215799±172
$AMB+\\beta CD$293.150.0002837.8620227780±2570
303.150.0002429.0345937333±1036
313.150.00023910.8457545379±821
"} {"image_path": "images/a0025c0891c1554fe2efae9ee44b873a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ElectrolyteSolvent$\\Lambda _{o}$K$_{A}$a
HAcH$_{2}$O$ 5.70\\times 10^{4} $
NaClH$_{2}$O0.00
MgSO$_{4}$H$_{2}$O170$3.85^{b}$
$\\mathrm{Bu}_{4} \\mathrm{NBr}$AN162.210.534.89
$ PrNH_{3}Br $AN175.011721.131
ETANAN186.29191.161
NaIAN177.68.273.189
NaSCNAN189.1102.51.171
"} {"image_path": "images/e9042b8ce4b8e40124a2e806d56b472a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Results for the probit model$\\dagger$Results for the OLS model$\\ddagger$
VariableCoefficientt-statisticVariableCoefficientt-statistic
Constant0.9073.16Constant3.63526.40 (24.81)
PPKT0.0124.36PBRD1-0.2501.58 (1.66)
PTB0.0124.99PBRD2-1.3654.46 (4.60)
POWN0.1954.85PBRD3-0.3125.70 (6.18)
PCTPOP0.0765.92PBRD4-0.3681.65 (1.74)
NUMBER0.0154.59PBRD5-2.9502.18 (2.26)
PRICE0.1451.82PPKT-0.0020.80 (0.75)
AGE0.0031.53PTB0.0010.57 (0.50)
DMOSAIC30.1592.22PBRD2-PPKT0.1143.33 (3.50)
DMOSAIC70.1371.58PBRD3-PPKT0.0223.27 (3.15)
DMOSAIC100.1641.38 PBRD4-PPKT0.0072.34 (2.44)
DREGION20.3142.75PBRD5-PPKT0.0643.28 (2.99)
DREGION12-0.2441.78 PBRD2-PTB0.0113.46 (3.62)
DFEM0.1191.86 PBRD4-PTB0.0062.32 (2.40)
POWN-PPKT-0.0024.92PBRD5-PTB0.0302.14 (2.19)
PCTPOP-PPKT-0.0016.27NUMBER-0.05034.85 (29.93)
POWN-PTB-0.0024.84PRICE0.1893.65 (3.61)
PCTPOP-PTB-0.0016.21PRICE-PPKT-0.0022.54 (2.52)
HSIZE0.0302.81 (2.86)
HSIZE-PPKT0.0011.94 (1.93)
DPT1-0.0712.36 (2.36)
DMOSAIC50.1742.89 (2.59)
DMOSAIC90.1111.95 (2.01)
DMOSAIC110.0801.80 (1.58)
DREGION7-0.0982.27 (2.39)
DREGION9-0.0801.80 (1.73)
DREGION11-0.1011.91 (2.08)
Inverse Mills ratio-0.5065.81 (5.88)
"} {"image_path": "images/234e0a2072de86cde49fa257a09442c8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GGMBP
NJ1ANJ1J2J3A
Fecundity000.4900000.4
Survival0.55D0.3D
Survival0.850.850.85
Survival0.9
Survival0.950.95
"} {"image_path": "images/5adfac2296b3275b0ca612f4f819d99e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
bS.E.95% CIOdds Ratio
Model without covariates
Sexism (A)$0.58 ^{**}$0.09[0.41,0.74]1.78
Conservatism (B)$1.49^{**}$0.07[1.36,1.66]4.43
A × B$-0.31^{**}$0.08[-0.45,-0.16]0.74
Model with covariates
Sexism (A)$0.76^{**}$0.10[0.57,0.98]2.14
Conservatism (B)$1.55^{**}$0.08[1.42,1.75]4.72
A × B$-0.33^{**}$ 0.08[-0.49,-0.17]0.72
Gender$-0.25^{**}$0.15[-0.57,0.03]0.78
Age-0.010.01[-0.02,0.00]0.99
Education$-0.10^{*}$ 0.05[-0.20,-0.01]0.90
SES-0.060.13[-0.31,0.17]0.94
Black$-3.77^{**}$0.60[-5.23,-2.80]0.02
Asian-0.630.44[-1.56,0.19]0.53
Hispanic$-1.92^{**}$ 0.32[-2.60,-1.33]0.15
Other$-1.10^{**}$ 0.33[-1.78,-0.44]0.33
Widowed-0.200.34[-0.88,0.51]0.82
Divorced0.160.22[-0.28,0.61]1.18
Separated$-1.23^{*}$0.50[-2.14,-0.24]0.29
Never Married-0.280.23[-0.75,0.15]0.76
"} {"image_path": "images/6a5fde51b06f3f52488972f3e7df7a8a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$A_{c}/A_{s}$Geometry$E[A_{sc}/A_{c}]$
0.250.500.75
5circle on square0.02540.03030.0186
circle on circle0.02600.03100.0190
square on square*0.02520.03000.0182
1.0circle on square0.07890.09640.0608
circle on circle0.08100.09830.0620
square on square*0.07810.09450.0593
0.56circle on square0.10260.12620.0816
circle on circle0.10400.12810.0829
square on square*0.10020.12300.0790
"} {"image_path": "images/95aef9caec42aac551cb7e6bd303aee9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelParametersMaterials
ACPACF
Langmuir$k_{L}$0.82830.5074
$a_{L}$0.003070.00081
Freundlich$a_{F} $75.8891824.40811
$b_{F}$ 0.140350.35351
Redlich-Peterson$k_{J} $65.9067516.76238
$b_{J} $0.90.7
$\\beta$0.860570.65181
Bottle-neck$a_{F}$ 0.27780.27968
$b_{F}$ 0.98280.999
$k_{(z)}$$9.6955×10^{-22}$$1.8295×10^{-11}$
n7.748534.14294
a199.524811904.02069
b0.95560.8481
c-152.827-1176.019
k$5.3303×10^{-19}$$1.1122×10^{-6}$
"} {"image_path": "images/af92a8c255f9514eab3afe83e345d52f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别传热面积别蒸 汽 锅
水管锅炉强制循环锅炉直流锅炉蓝开夏型考尼许型立式横管烟式炉胆烟管式
$<5 \\mathrm{~m}^2$406186222714,3001,374224
$\\begin{aligned} & \\geqslant 5 \\mathrm{~m}^2 \\\\ & <10 \\mathrm{~m}^2\\end{aligned}$6473714915322,7542,8971,353
$\\begin{aligned} & \\geqslant 10 \\mathrm{~m}^2 \\\\ & <40 \\mathrm{~m}^2\\end{aligned}$2,0556353,071151,7711,3356,08910,310
$\\begin{aligned} & \\geqslant 40 \\mathrm{~m}^2 \\\\ & <100 \\mathrm{~m}^2\\end{aligned}$4,07211211235780880857822,0307,189
$\\begin{aligned} & \\geqslant 100 \\mathrm{~m}^2 \\\\ & <200 \\mathrm{~m}^2\\end{aligned}$1,51615336327775695
$\\begin{aligned} & \\geqslant 200 \\mathrm{~m}^2 \\\\ & <300 \\mathrm{~m}^2\\end{aligned}$71677178460
$\\begin{aligned} & \\geqslant 300 \\mathrm{~m}^2 \\\\ & <500 \\mathrm{~m}^2\\end{aligned}$1,0301711115722
$\\geqslant 500 \\mathrm{~m}^2$625511314423
11,0678953,7038322,59118,52413,36319,863
"} {"image_path": "images/7a6a2da2ead91f296a7d8101ff76a1c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BoundaryAlpha 1UP_rgh
InletFixedvalueFixedvalueZerogradient
OutletZerogradientZerogradientFixedvalue
AtmosphereInletoutletZerogradientFixedvalue
BottomZerogradientFixedvalueZerogradient
SidewallZerogradientFixedvalueZerogradient
Symmetry planeSPSPSP
Hydrofoil/hullZerogradientSlipZerogradient
"} {"image_path": "images/4b82f77c3defa55ae3a7ad55528721c2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
EstimatorMeanMedianSDp; 0.05p; 0.10SE/SDMAENobs
A. T = 6
H-10.990.980.4600.100.170.8390.317374
H-MLE0.700.710.4310.210.290.8230.368374
H-BC10.950.940.5930.170.240.7050.382374
H-BC20.810.810.4970.160.250.7940.346374
H-BC30.900.900.5480.130.210.7960.372374
B. T = 8
H-11.010.990.3710.100.160.8540.239485
H-MLE0.790.790.3540.160.230.8470.282485
H-BC10.960.960.4330.120.190.7750.286485
H-BC20.890.890.4000.120.170.8280.280485
H-BC30.950.950.4240.110.170.8250.283485
C. T = 12
H-10.991.000.2780.080.140.9020.183700
H-MLE0.850.860.2690.150.210.8940.198700
H-BC10.960.970.3050.110.170.8510.202700
H-BC20.940.950.2970.110.170.8760.196700
H-BC30.960.970.3050.100.160.8740.202700
"} {"image_path": "images/dd1804a191ebf11bc19c839e3b4f2f1a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
原 申 請 內 容擬 變 更 後 內 容變 更 原 因
優 先 序項 目名 稱規 格數 量預 估單 價預 估總 價優 先 序項 目名 稱規 格数 量預 估單 價預 估總 價
A-107-107虛 擬 射 擊 體感 遊 戲 VR頭 盔 顯 示 器1.2K 畫 質 以 上。2.2GDDR 含 以 上 記憶 體。3.178 度 視 角。4.虛 擬 射 擊 體 感 遊 戲連 線 版 系 統。5.保 固 半 年。2 組20,00040,000A-107-107虛 擬 射 擊 體感 遊 戲 VR頭 盔 顯 示 器1.2K 畫 質 以 上。2.110 度 視 角。3.虛 擬 射 擊 體 感 遊 戲連 線 版 系 統。4.保 固 半 年。2組20,00040,000因 規 格 誤植,擬 申 請變 更 規 格 。
A-107-132VR 騎 馬 機頭 盔 組1.2K 畫 質 以 上。2.1GDDR(含)以 上 記憶 體。3.178度 視 角。4.VR 騎 馬 機 連 線 版系 統。5.保 固 半 年。1 組20,00020,000A-107-132VR 騎 馬 機頭 盔 組1.2K 畫 質 以 上。2.110 度 視 角。3.VR 騎 馬 機 連 線 版系 統。4.保 固 半 年。1組20,00020,000因 規 格 誤植,擬 申 請變 更 規 格。
原 申 請 金 額 小 計60,000變 更 後 金 額 小 計60,000
"} {"image_path": "images/1841f0fbd5458dbb26d1bb557a3812f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Run typeTotal run time(min)Room temperature flexure(ksi)600°F flexure(ksi)
Recipe3326137
3325435
3325545
AI3097145
2377239
3876538
Modified recipe*3507924
3508222
"} {"image_path": "images/b716ace4e6652e816e118fc6b022dc78.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Hydrogen Content, wt%Distillation Cut
123456
Total Hydrogen (TH)12.39012.30912.27012.20712.12811.958
In Saturates7.1026.7736.6526.4006.1264.847
Reactive H in Saturates (RS)5.7725.6405.4605.1904.3133.615
In Aromatics5.2885.5375.6205.7106.1007.111
Reactive H in Aromatics (RA)3.3913.3903.5103.6904.4004.610
RHC = (RS + RA)/TH0.73950.73360.73110.72750.71840.6878
"} {"image_path": "images/7f5d2dad6a0addbf613d7b3964a81d95.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ObjectsDatesSamplingratedaysNumberoftimesGrand averages
$\\bar{\\beta}$(deg)$\\bar{\\lambda}$(deg)$\\bar{R}$(au)
15631965-7915037-0.14179.92.84
15631980-9420028-0.10180.62.83
4451965-7915037-0.05178.92.80
4451980-9415038-0.04178.42.79
AllA1l134,970asteroidpoints-0.10179.82.83
"} {"image_path": "images/f04de19bedec1e32ec61d9409d2fd429.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
k/schemesr
12345678
910111213141516
1718192021222324
3/(8,8, 8)0.99900.99210.96820.91330.81840.68740.53650.3875
0.25890.16020.09190.04890.02420.01110.00470.0019
0.00070.00020.7e-40.2e-40.5e-50.9e-60.2e-60.2e-7
3/(10,8, 6)0.99900.99210.96820.91330.81840.68740.53620.3871
0.25780.15840.08980.04690.02270.01010.00420.0015
0.00050.00020.5e-40.1e-40.3e-50.6e-60.1e-60.1e-7
6/(4,4,4,4,4,4)0.99990.99990.99990.99950.99790.99370.98370.9636
0.92790.87150.79150.68910.57020.44470.32410.2190
0.13580.07650.03860.01710.00650.00200.5e-30.7e-4
6/(6,5,4,4,3,2)1.00000.99990.99980.99940.99760.99240.97980.9539
0.90800.83690.73920.61980.48890.36010.24570.1543
0.08850.04590.02130.00870.00310.00090.00020.3e-4
12/(2,...,2)1.00001.00001.00001.00001.00001.00001.00001.0000
0.99990.99990.99930.99780.99360.98340.96120.9179
0.84350.73050.58110.41110.24790.11990.04170.0081
"} {"image_path": "images/71f6a600479f35c2119ab666161ea562.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Satisfaction (Model 1)
Independent variablesDependent variable
$\\beta$T
Constant0.3080.856
Social and cultural facilities0.0150.161
Education facilities0.161$2.968^{**}$
Quality of environment-0.126$-2.437^{**}$
Sufficiency of health services0.0430.461
Safety0.210$3.762^{**}$
Quality of health services0.0781.385
Public transport0.111$1.948^{**}$
Neighborhood0.160$2.913^{**}$
Model F11.946
$R^{2}$0.247
Adjusted $R^{2}$0.227
"} {"image_path": "images/919b67b2c92ffa98838c6e0991e80bae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地点:南厂沟 植被型:落叶阔叶林 群落类型:赤杨叶林
取样面积:20m×40m坐标信息:N28°28′45\"E105°58′25\"海拔:567m 人为干扰程度:中等干扰
草本层 物种 相对盖度 相对高度 重要值
套鞘薹草 0.0968 0.0566 0.0767
乌蕨 0.1290 0.0755 0.1023
狗脊蕨 0.0968 0.2264 0.1616
水蓼 0.1290 0.0943 0.1117
爵床 0.0968 0.0943 0.0956
蒲儿根 0.0645 0.0755 0.0700
"} {"image_path": "images/c4b7574c979e36fb0b3c3345e766ba3f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
h/RkBoundary conditions
CCCSSCSSCFFC
0.050.578.0177.3865.9865.2972.0114.29
177.3676.7365.4264.7471.4014.16
577.2076.6465.7865.1771.3114.33
2076.1775.6164.9164.3070.3714.14
0.10.5105.96105.4693.8593.4194.7820.65
1105.10104.6093.0892.6594.0020.47
5104.75104.3093.1692.7794.4920.32
20103.34102.8891.9191.5293.2120.06
0.20.5146.49146.31134.69134.57121.6426.80
1145.30145.13133.59133.47120.7126.58
5147.53147.38135.95135.84120.2926.77
20145.60145.44134.21134.09118.6026.40
"} {"image_path": "images/374073e3a888df7c5ea25483f643ff1f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Final instrumentEarlier version
(ntc)(tc)(ntc)(tc)
$f_{\\tau }$-9-11-5-21
$f_{H}$-10-11-2-21
$f_{E}$-10-11-2-21
$f^-_{w^{2}}$-22-23-38-45
"} {"image_path": "images/2277b9fa712a91f96f45e0da1c9b200f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temperature (℃)FeedDistillateResidue
Q value(g/min)Q value(mL/min)Q value(g/min)Q value(mL/min)Q value(g/min)Q value(mL/min)
1007.367.50--7.367.50
1505.786.20--5.786.00
1905.546.200.410.405.135.80
1909.4610.300.450.509.019.80
2309.6810.600.831.008.859.60
2306.736.500.961.205.776.00
2505.856.400.931.404.925.60
2509.6310.500.931.408.709.60
"} {"image_path": "images/ba02750b8bbb513bdbfb744657c0b88e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
粮食种类省份$1924\\sim1929年$$1929\\sim1933年$$1931\\sim1937年$平均
小麦河北127134113125
山东159134140144
河南135134139136
小米河北179174170173
山东230174225210
河南157174149160
高粱河北152174154160
山东212174215200
河南165174174171
玉米河北171160166166
山东170160184171
河南148160133147
大麦河北158134133142
山东164134146148
河南149134141141
水稻河北197334193241
山东344334114264
河南236334230267
"} {"image_path": "images/d923ca91d4e9336c38eda970f6476a22.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Method$\\Delta H_{1}$$\\Delta H_{2}$$ (\\Delta H_1 + \\Delta H_2)^{\\text{a}} $
$ \\text{kcal/mol}^{-1} $$kcal ~mol^{-1}$$kcal ~mol^{-1}$
Semi-empirical MO
EHMO52.3-1.051.3
CNDO193.5-4.8188.8
INDO160.64.0164.6
Non-empirical MO
Basis Set A43.2-9.433.8
Basis Set B53.254.0107.2
"} {"image_path": "images/53e7c13f7afe4630ef442e10a38eadab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
h (km)$\\theta_0 = 0$$\\theta_0 = 2~m~rad$$\\theta_0 = 0.2~rad$
d (Ap-prox-imate) d(True)d (Ap-prox-imate) d(True)d (Ap-prox-imate) d(True)
10493.36503.45469.62470.6748.8548.67
5374.53376.92347.53344.3024.5624.52
1182.56182.61152.25151.154.934.93
"} {"image_path": "images/e1d9ee600a2509769d69a1bf9b1ce76c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Male (N = 243)Female (N = 213)
RankingPartsScorePartsScore
1Face2.75Face2.88
2Expression2.25Expression2.35
3Body Shape2.23Voice2.28
4 Voice 2.14Body Shape2.25
5Hairstyle2.11Hairstyle2.18
6Action1.84Action2.05
"} {"image_path": "images/e80efedb2436939d2614bdc6c0ceac62.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T (K)a (nm)c (nm)$(c/a)_{\\mathrm{calc.}}$$\\delta_{\\mathrm{calc.}} $ = (2 - c/a)$V_{\\mathrm{calc.}}=a^{2}c\\:(\\mathrm{nm})^{3}$
Obs.$\\text{Calc.}^\\mathrm{a}$Obs.$\\text{Calc.}^{\\mathbf{b}}$
3010.561160.561161.099351.099361.95910.04093.4619
3760.561700.561691.099881.099871.95810.04193.4700
4880.562480.562501.100621.100591.95660.04343.4823
5850.563270.563251.101131.101151.95500.04503.4934
7840.564860.564871.102141.102161.95120.04883.5168
8990.565870.565871.102681.102661.94860.05143.5308
"} {"image_path": "images/0bdd5ac5c820b588e7b6858b1df664b9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Classification accuracy (%)
DeletionImputationLocal-validity
68.6770.6780.33
"} {"image_path": "images/726e9f4e97a68dd00577f5ef5fa15809.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Type of bondIndex numberRef.
Dark red pigmentPurple pigment
Fe-O (haematite)0,10,1[26]
Si-O-Si stretching22[27]
Si-O in clay3,43,4,5[27]
$ν_s(C-O)~+~δ(OCO)$ (hydratedmagnesium oxalate)56[28]
H-O-H bending6,77,8[10]
O-H bending89[10]
Mixture of O-H and water H-O-Hstretching9,10,11,1210,11,12[29]
O-H stretching (crystallinehydroxyl)1313[29]
"} {"image_path": "images/0208aafe9c2cc5b8c346e23c29b31a4e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Weatherstation (alt)GeographicalcoordinatesAir temperature(℃,annualmean)Rain(mm,annualmean total)Number ofdays withsnowfallNumber ofdays withheavysnowfallAverage snowdepth (cm)
LatitudeLongitudeAnnual1 November–31 April
Vf. Omu(2505 m)45° 27'25°27'-2.51065.9133.792.436.754.3
Sinaia(1500 m)45°23'25° 30'3.71226.990.62314.5 m28.4
"} {"image_path": "images/2be63da45bceeb27ac88daf22fde1d5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Prob-abilityPn
Proportion of rare genotype (B)
0.010.030.050.070.11
0.9022976453220
0.9326587523723
0.96320106634428
0.99458151906340
"} {"image_path": "images/0e145f9c9034f76e2938e646d1681a4b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample$n_{1 \\text { slope }}$$\\omega \\longrightarrow 0$$n_{2 \\text { slope }}$$\\omega \\longrightarrow 0$$n_{1 \\text { slope }}$$\\omega \\longrightarrow \\infty$$n_{2 \\text { slope }}$$\\omega \\longrightarrow \\infty$$n_{\\tan }$eqs. (1) and (2)
$n_1 \\omega \\rightarrow 0$$n_2 \\omega \\rightarrow 0$$n_1 \\omega \\rightarrow \\infty$$n_2 \\omega \\rightarrow \\infty$
SEBS-MAH340.670.800.380.380.540.50.50.50.5
SEBS-MAH540.500.600.520.520.540.50.50.50.5
SEBS-MAH740.200.400.500.500.540.50.30.40.4
0.30.56
0.30.3
"} {"image_path": "images/16d00ac06f87f40b93cf9ae76f1a8fe2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
External pHlog M$K_p=10^{-7}$$K_p=10^{-4}$
xInternal pHxInternalpH
5.6- 2.131.225.5110.654.57
6.0- 1.781.225.915.75.24
6.4- 1.481.216.323.025.92
6.8- 1.251.176.731.786.55
7.2- 1.121.147.141.327.08
7.6- 1.051.087.571.127.55
8.0- 1.021.047.981.057.98
"} {"image_path": "images/4ad941ce287a5c529d29dc2850e2740a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FunctionsDimensions
10-Dimension20-Dimension30-Dimension
Originalf(·)Proposedf(·)KOriginalf(·)Proposedf(·)KOriginalf(·)Proposedf(·)K
Ackley1.4833$7.1293^*10^{-5}$0.91552.9124$8.7004^*10^{-5}$0.87363.2939$1.8175^*10^{-3}$0.862
Rosenbrock0.34780.01601.20050.84320.11840.9980.865410.2360.714
De Jong$0.716^*10^{-4}$$1.349^*10^{-11}$1.986$0.979^*10^{-2}$$2.9733^*10^{-11}$0.7576$1.003^*10^{-1}$$1.2698^*10^{-11}$0.788
Griewank0.1258 $0.1818^*10^{-5}$1.39860.58000.23491.21220.42770.3650.929
Schwefel0.232$0.8756^*10^{-4}$1.4550.455$0.256^*10^{-3}$0.9770.462$0.158^*10^{-1}$0.860
Rastrigin$5.732^*10^{-2}$$ 4.887^*10^{-5}$1.345$9.877^*10^{-1}$$7.141^*10^{-3}$0.8321.040$9.229^*10^{-1}$0.815
Michalewicz-1.12-1.75330.898-0.876-1.4320.856-0.278-1.2120.783
Beale0.130.11450.9120.1$0.0065^*10^{-2}$1.1$9.35^*10^{-4}$$6.544^*10^{-3}$1.865
Matyas0.00670.00091.2430.0079$0.06^*10^{-3}$1.55$8.3^*10^{-5}$$8.45^*10^{-6}$2.112
"} {"image_path": "images/c4716c9393924aa4cca7a439bd7e8e80.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StudiesInterventionsOutcomesInstruments $Effect~size^a$
Short term(0-<3 mo)Mediumterm(3-6 mo)Long term
(>6-12 mo)(>12-24 mo)>24 mo
FQ-EOI-.15.033---
Carers' generalhealthSF-12-PH.14 .35---
SF-12-MH.062 .35---
McCannet al. (2010)Self-helpbibliotherapySocial problem-solving abilitySPSI-R:SP> .05P> .05---
"} {"image_path": "images/97999970fbca03dc4802919ff2bd703c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelRMSEMAESD
10.57-0.020.81
20.57-0.020.81
30.58-0.010.82
40.56-0.010.82
50.56-0.020.82
60.56-0.020.82
70.55-0.020.82
80.55-0.020.81
90.56-0.030.81
100.56-0.020.81
110.56-0.030.81
120.56-0.030.81
130.56-0.030.81
140.56-0.020.81
150.56-0.020.81
160.56-0.020.81
170.56-0.020.80
180.57-0.020.80
190.57-0.030.81
200.57-0.030.81
210.56-0.020.81
"} {"image_path": "images/958f7ef312b14a4765d8e3fd03f9840d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
结 构1×7
公称直径全部钢丝断面面积$\\mathrm{mm}^{2}$ 参考重量kg/100m公称抗拉强度/MPa
钢绞线钢 丝1270137014701570
mm钢绞线最小破断拉力/kN
3.01.005.504.586.426.927.437.94
3.31.106.655.547.778.388.999.60
3.61.207.926.599.259.9710.7011.40
3.91.309.297.7310.8011.7012.5013.40
4.21.4010.788.9712.5013.5014.5015.50
4.51.5012.3710.3014.4015.5016.7017.80
4.81.6014.0711.7116.4017.7019.0020.30
5.11.7015.8913.2318.5020.0021.4022.90
5.41.8017.8114.8320.8022.4024.0025.70
6.02.0021.9918.3125.6027.7029.7031.70
6.62.2026.6122.1531.0033.5035.9038.40
7.22.4031.6726.3637.0039.9042.8045.70
7.82.6037.1630.9343.4046.8050.2053.60
8.42.8043.1035.8850.3054.3058.2062.20
9.03.0049.4841.1957.8062.3066.9071.40
9.63.2056.3046.8765.7070.9076.1081.30
10.53.5067.3556.0778.6084.8091.0097.20
11.43.8079.3966.0992.70100.00107.00114.00
12.04.0087.9673.22102.00110.00118.00127.00
"} {"image_path": "images/c1de3b67ff421a104b83bdf52773aa51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Min23731100
Avg13196398769
Max338045,3286,543
SD51295841,111
Wins100000
Fail00031
c) 16 × 16 grid
Min273,1162,853772
Avg569,8259,2664,857
Max11810,00010,00010,000
SD198661,6783,429
Wins100000
Fail0947720
"} {"image_path": "images/cd04ad8dad9e30327dfcbd8a68a38898.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DFIG with RPOD and RPSS
$K_{\\text{stab}}$$T_{1}$$T_{2}$$T_{3}$$\\overline{T_{4}}$
G541.190.78900.07790.96380.0729
G734.770.81570.03480.40630.0902
G915.920.26820.07120.62670.0963
W147.510.54080.06900.30140.0592
W210.810.50100.02460.77610.0225
W321.990.68170.02070.32960.0234
W419.130.73840.05490.55540.0332
DFIG with CPOD and CPSS
G540.750.59220.08200.13210.0690
G745.290.96180.02280.86420.0254
G916.430.96840.04800.94060.0735
W145.670.24190.09240.71090.0129
W231.650.97350.08130.78200.0349
W341.960.96150.09640.76880.0142
W413.990.53680.06900.45300.0187
"} {"image_path": "images/2b187ab1f74b462767931ac7acf7c82f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
汉口理发工会1925.9200
汉口负担工会1925.10
武汉雀牌工会1925.10
汉口大车工会1925.10
汉口茶砖机工会1925.10
汉口苗家码头挑夫工会1925.10
汉口油桶工会1925.10
汉口清茶工会1925.101,000
汉口铅印工会1925.10200
汉口选茶女工会1925.10
汉口屠宰工会1925.10100
汉口既济水电工会1925.10
汉口大王庙码头工会1925.10200
汉口弹花工会1925.10200
汉口太阳帮煤业工会1925.10
汉口杂货店员工会1925.10
机电工会联合会1925.10
轮机理货联员联合会1925.10
篾业工会1925.10
汉口木业工会1925.10
"} {"image_path": "images/2981da3434f5aa714c0f24bf1f6cb6d7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Wavelength(nm)$\\theta_{h}$ (deg)$\\theta_{1 / 2}~(deg)$$ A \\times 10^4 $$ C \\times 10^4 $$ Q_B\\times 10^4 $$U_{B} \\times 10^{4}$$I_B$$x^2$
Scan A
40222.61 ± 0.03$0.36 \\pm 0.05$474 ± 38$ 174\\pm 33 $-8 ± 10-113 $\\pm 7$1.938
44122.44 ± 0.030.54 ± 0.03418 ± 18$ 145\\pm 24 $-7 ± 6-59 ± 31.436
481$ 22.32\\pm 0.03 $0.61 ± 0.04$ 377\\pm 15 $$ 120\\pm 20 $16 ± 5-32 ± 31.225
622$ 21.85 \\pm 0.03 $$0.80 \\pm 0.05$342 ± 13185 ± 1738 ± 5-15 ± 21.183
712$ 21.66\\pm 0.04 $$0.89 \\pm 0.06$295 ± 11$ 222 \\pm 13 $40 ± 9-16 ± 11.039
79121.56 ± 0.03$ 0.93\\pm 0.05 $307 ± 10$ 216\\pm 13 $55 ± 8-13 ± 21.148
850$21.38 \\pm 0.08$$1.09 \\pm 0.12$ $366 \\pm 25$ $329 \\pm 33$ 4 ± 245 ± 41.441
Scan B
622$21.83 \\pm 0.06$$0.59 \\pm 0.06$407 ± 63$ 213 \\pm 118 $12 ± 9-18 ± 31.133
71221.72 ± 0.070.65 ± 0.07356 ± 39180 ± 9030 ± 9-14 ± 21.028
791$ 21.61 \\pm 0.05 $$0.69 \\pm 0.06$348 ± 37201 ± 6025 ± 8-9 ± 31.130
850 $21.67 \\pm 0.14$ $0.82\\pm 0.18$ $414 \\pm 110$$ 17 \\pm 150 $66 ± 228 ± 61.420
"} {"image_path": "images/a2ef9d064aef6c22405994d178b24bee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathscr{U}^{(1)}$$\\Phi(z)$$\\Psi(z)$B(z)C(z)D(z)
Hermite12z-1-2z-2
Laguerrezz - $\\alpha$ - 3-$\\alpha$-1-z + $\\alpha$ + 2-1
Jacobi$z^2$ - 1$-(\\alpha~+~\\beta~+~4) z~-~\\frac{\\alpha^2-\\beta^2}{\\alpha+\\beta+2}$$\\frac{4(\\alpha+1)(\\beta+1)(\\alpha+\\beta+1)}{(\\alpha+\\beta+2)^2}$$(\\alpha~+~\\beta~+~2) z~-~\\frac{\\alpha^2-\\beta^2}{\\alpha+\\beta+2}$$\\alpha~+~\\beta~+~3$
Bessel$z^2$$-2\\left[(\\alpha+1) z~+~1~-~\\alpha^{-1}\\right]$$-\\frac{2 \\alpha-1}{\\alpha^2(2 \\alpha+1)}$$2\\left(\\alpha z+1-\\alpha^{-1}\\right)$2$\\alpha$+1
"} {"image_path": "images/e88c62554da0b7e5ae3eedf4b3383d05.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Test No.Plan of exp.$\\sigma_{\\text {comp }}$,MPa$\\hat{\\sigma}_{\\text {comp }}$,MPa
$X_0$$X_1$$X_2$$X_3$$X_4$
1+----51,260,6
2++---70,067,6
3+-+--53,654,8
4+++--58,265,8
5+--+-58,856,7
6++-+-68,563,7
7+-++-60,658,8
8++++-68,965,8
6+---+75,468,8
10++--+69,875,9
11+-+-+56,155,1
12+++-+59,662,2
13+--++64,764,9
14++-++71,972,0
15+-+++58,459,1
16+++1+68,466,1
"} {"image_path": "images/83bb366c93281c6162bc4dbfc7fa0ca6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
266 nm532 nm580 nm634 nm690 nm730 nm$1064 \\mathrm{~nm}$
K$K_{2}$K$K_{2}$K$K_{2}$K$K_{2}$K$K_{2}$K$K_{2}$K$K_{2}$
$\\mathrm{K}\\mathrm(KI)_{2}^{-}$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$2$3^{a}$
$\\mathrm{K}\\mathrm(KI)_{3}^{-}$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$3516
$\\mathrm{K}(\\mathrm{KI})_{4}^{-}$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$48
$\\mathrm{K}(\\mathrm{KI})_{5}^{-}$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$10$\\cdots$72
$\\mathrm{K}(\\mathrm{KI})_{6}^{-}$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$50
$\\mathrm{K}(\\mathrm{KI})_{7}^{-}$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$13$\\cdots$36$\\cdots$52$\\cdots$70
$\\mathrm{K}(\\mathrm{KI})_{8}^{-}$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$28$\\cdots$46$\\cdots$73
$\\mathrm{K}(\\mathrm{KI})_{9}^{-}$$\\cdots$$\\cdots$$\\cdots$8$\\cdots$11$\\cdots$25$\\cdots$4320$50^{a}$bb
$\\mathrm{K}(\\mathrm{KI})_{11}^{-}$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$35$\\cdots$505$60^{a}$$\\cdots$85
$\\mathrm{K}(\\mathrm{KI})_{12}^{-}$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$$\\cdots$50$\\cdots$65$\\cdots$90
$\\mathrm{K}(\\mathrm{KI})_{13}^{-}$$\\cdots$$\\cdots$25$\\cdots$42$\\cdots$70$17^{a}$40$20^{a}$42$21^{a}$bb
"} {"image_path": "images/e6ef3845a2716afd9305fb9fd16dd452.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$4s^{2}nl$$\\begin{aligned}&\\Delta T_n(\\mathrm{calc})\\\\&(\\mathrm{cm}^{-1})\\end{aligned}$$\\begin{aligned}&n^{*3}\\Delta T_n(\\mathrm{calc})\\\\&(\\mathrm{cm}^{-1})\\end{aligned}$$\\begin{aligned}&\\Delta T_{n}(\\exp)\\\\&(\\mathrm{cm}^{-1})\\end{aligned}$$\\begin{aligned}&n^{*3}\\Delta T_n(\\exp)\\\\&(\\mathrm{cm}^{-1})\\end{aligned}$
$4\\mathbf{s}^{2}4\\mathbf{p}~^{2}\\mathbf{P}$695.88$2.4 \\times 10^{3}$826.19$2.9 \\times 10^{3}$
$5p~^{2}\\mathbf{P}$83.661.6111.022.1
$6p~^{2}\\mathbf{P}$31.781.641.172.1
$7p~^{2}\\mathbf{P}$15.551.619.912.1
$4\\mathbf{s}^{2}4\\mathbf{p}~^{2}\\mathbf{D}$2.5158
$5\\mathbf{d}~^{2}\\mathbf{D}$1.4178
$6\\mathbf{d}~^{2}\\mathbf{D}$0.8087
$7\\mathbf{d}~^{2}\\mathbf{D}$0.4892
"} {"image_path": "images/e05c239f6b217a12e59557f1d8037fb4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParametersTemperature (°C)
5254060
$E_{\\infty}$ (MPa)350
$E_i$ (MPa)50,000
$\\rho_{i}\\ (s)$0.0025
$E_R$ (MPa)8,2201,905558228
$\\alpha$ (—)4.761.672.412.87
m (—)0.500.400.350.36
"} {"image_path": "images/43032a5dcf869a2249d9b71386cdc512.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterClinker phase
AliteBeliteAluminateFerrite
$K_1$1.50.51.00.37
$N_1$0.71.00.850.7
$K_2$0.050.0060.040.015
$K_3$1.10.21.00.4
$N_3$3.35.03.23.7
"} {"image_path": "images/cb9987963696b400fd4d13522426ed84.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n$\\alpha=1.5$DEA$\\alpha=1.5$Bias corrected$\\alpha=2.0$DEA$\\alpha=2.0$Bias corrected$\\alpha=2.5$DEA$\\alpha=2.5$Bias corrected
1000-1.94 (6.09)0.44 (23.14)-4.06 (10.20)-0.67 (32.11)-6.63 (14.26)-2.79 (36.80)
3.770.2516.690.5543.987.92
2000-1.42 (4.38)0.16 (14.92)-3.12 (7.79)-0.54 (22.89)-5.31 (11.25)-1.67 (28.71)
2.020.059.740.3428.212.87
3000-1.14 (3.63)0.01 (10.01)-2.64 (6.79)-0.05 (18.84)-4.61 (9.91)-0.93 (26.12)
1.300.016.970.0421.260.93
"} {"image_path": "images/f644ea169a61568c182fa411cac339a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
sample$f_a^{a,H}$$f_a^{a,H}$$T_{2A}$${T_{2B}}^{\\prime}$${T_{2C}}^{\\prime}$
PSOC 867$0.85 \\pm 0.02$$0.15 \\pm 0.02$$19 \\pm 1$$273 \\pm 11$
Braztah No. 9$0.61 \\pm 0.02$$ 0.39 \\pm 0.02 $$21 \\pm 1$$323 \\pm 34$$30 \\pm 1$
PSMC 53$0.52 \\pm 0.02$$0.48 \\pm 0.02$$20 \\pm 1$$291 \\pm 23$$20 \\pm 1$
PSMC 47$0.49 \\pm 0.03$$ 0.51 \\pm 0.03 $$22 \\pm 1$$199 \\pm 21$$49 \\pm 3$
Blair Athol Vitrain (I) $0.71 \\pm 0.05$ $0.29 \\pm 0.05$ $23 \\pm 1$$163 \\pm 14$$35 \\pm 2$
Beluga Lignite$0.79 \\pm 0.09$ $0.21 \\pm 0.09$ $23 \\pm 1$$156 \\pm 22$$27 \\pm 1$
"} {"image_path": "images/b3dd198c93d0cbce0134183230ea2bc3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterValueUnits
Bed width $D$100mm
Bed height $W$80mm
Particle diameter distribution2.85-3.15mm
Particle density $\\rho$2490$\\mathrm{kg/m^3}$
Coefficient of restitution
$\\text{particle/particle } e_{\\text{p}}$0.3-0.9
$\\text{particle/wall } e_{\\text{w}}$0.3-0.9
Friction coefficient
$\\text{particle/particle } \\mu_{\\text{p}}$0.4943
$\\text{particle/wall } \\mu_{\\text{w}}$0.4480
Damping coefficient
$\\text{particle/particle } C_{\\text{n,p}}$0.0417$\\mathrm{N} /(\\mathrm{m} / \\mathrm{s})$
$\\text{particle/wall } C_{\\text{n,w}}$0.00833$\\mathrm{N} /(\\mathrm{m} / \\mathrm{s})$
Normal spring coefficient
$\\text{particle/particle } K_{\\text{n,p}}$5900$\\text{N/m}$
$\\text{particle/wall } K_{\\text{n,w}}$11 800$\\text{N/m}$
Tangential spring coefficient
$\\text{particle/particle } K_{\\text{s,p}}$5900$\\text{N/m}$
$\\text{particle/wall } K_{\\text{s,w}}$11800$\\text{N/m}$
$\\text{Time step } \\Delta t$$3.2\\times10^{-6}\\:\\min$sec
"} {"image_path": "images/792b6d118c018204dc80597013032e8c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Double tagSingle tag
$p_{T j}$SggFS/ggF△μSggFS/ggF$\\Delta\\mu$$\\Delta \\mu^{\\mathrm{Tot}}$
3013730.74.480.09526212040.2170.1460.080
3512025.34.750.1012569890.2590.1380.081
4010321.04.920.1082478150.3040.1320.084
4587.617.35.070.1172366810.3460.1280.087
5073.614.84.960.1282225740.3870.1270.090
5561.212.15.040.1402084830.4310.1260.094
"} {"image_path": "images/5114278678b6da6a44406f495bfc5d73.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别成分及含量 /%
$Al_{2}O_{3}$$SiO_{2}$MgO CaO$Fe_{2}O_{3}$ $Na_{2}O$灼减
1≥99.0≤0.10≤0.05≤0.05 ≤0.10≤0.40
2≥99.5≥0.08≤0.05≤0.04≤0.05≤0.02
3≥99.5≥0.08≤0.05≤0.03 ≤0.03≤0.02
4≥99.99杂质含量/× $10^{-6} $
NaPbSiFeCaMgZnTi
5065020302045
"} {"image_path": "images/efe2cc13bc5d1d26ff10195dd5e9cec3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
经 济 区动力资源的保证 程 度1958年消耗燃料的平均成本根 据 设 计资 料 平 均水 电 成 本新工业企业的燃料成本
1958年每消耗一吨燃料的潜在资源量(千 吨 标准燃料 燃料保证程度的类别卢布/吨标准燃料成本类别戈比/度成本类别卢布/吨标准燃料成本类别
第一类
东西伯利亚145,32016.310.0411.0—1.51
中亚细亚3,630212.750.0520.71
第二类
西西伯利亚17,11017.120.0924.32
第三类
伏尔加河沿岸78047.220.1657.6—9.33
北高加索1,91039.640.0941.3—8.01—3
哈萨克斯坦3,32028.830.06*35.2—7.53
南方区1,000310.440.1548.03
第四类
乌拉尔28558.430.1153.5—6.52—3
远东区7,200215.950.0635.8—9.33—4
北方区15,010117.050.1049.34
中央区**110512.050.1655.3—9.33—4
西方区290511.550.1656.8—9.83—4
西北区210516.950.1456.3—10.23—4
外高加索42057.830.09410.14
"} {"image_path": "images/64200a3221e4f406fc0ac8b1e717ee95.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
r$\\sigma_\\theta$
0.10.20.30.40.50.6
0.01-3.515(-3.443)-4.587(-3.471)-7.759(-3.442)-12.301(-3.474)-20.461(-3.445)-30.368(-3.450)
0.02-3.327(-3.454)-4.803(-3.449)-6.594(-3.431)-11.566(-3.448)-18.589(-3.426)-29.646(-3.435)
0.03-3.156(-3.471)-3.810(-3.442)-5.661(-3.486)-9.979(-3.440)-17.481(-3.439)-27.596(-3.460)
0.04-2.828(-3.449)-3.602(-3.461)-4.838(-3.461)-9.046(-3.457)-16.147(-3.448)-26.102(-3.458)
0.05-2.390(-3.462)-3.504(-3.452)-4.430(-3.440)-7.807(-3.470)-14.732(-3.460)-23.900(-3.485)
0.06-1.901(-3.453)-3.360(-3.446)-4.141(-3.439)-6.948(-3.451)-13.113(-3.469)-22.504(-3.437)
0.07-1.363(-3.452)-3.217(-3.447)-3.996(-3.463)-5.972(-3.447)-11.729(-3.447)-21.608(-3.461)
0.08-0.786(-3.459)-3.056(-3.455)-3.865(-3.467)-5.286(-3.445)-10.480(-3.469)-18.815(-3.455)
0.09-0.229(-3.433)-2.891(-3.456)-3.747(-3.455)-4.883(-3.421)-9.613(-3.471)-18.799(-3.450)
0.100.424(-3.451)-2.662(-3.452) -3.696(-3.471)-4.585(-3.460)-8.265(-3.448)-16.397(-3.448)
"} {"image_path": "images/53d203d0d0f083440aa55ef948c53e00.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Error Threshold Arousal Ensemble Classifiers (3-fold,10-fold CV)
Optimal Classifier SetFull Classifier Set
Averaged Voting Weighted Voting Averaged VotingWeighted Voting
0.270.473.977.482.654.865.273.980.4
0.595.793.597.495.694.893.596.595.7
1.099.197.899.110099.199.599.199.5
MAE0.240.150.140.120.290.210.160.14
"} {"image_path": "images/f3a7b042fbac9c986e4807c6ceb99fb5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
nR
-10-4-2241014
0.1-0.458 992 -0.458 723 -0.456 424-0.453 299-0.422 148
0.034 8600.031 1310.029 6470.026 1520.024 0450.015 2000.004 924
0.522 677 0.517 8760.516 0140.511 8210.509 4590.500 8930.490 953
0.3-0.190 619 -0.184 991 -0.161 440 -0.137 6630.062 995
0.233 3680.224 1940.220 3610.210 987 0.205 1040.179 1540.147 860
0.634 9930.621 9530.615 6560.598 6790.587 3020.534 3350.456 303
0.50.215 8820.230 1410.278 3320.319 8930.644 754
0.499 9570.499 9340.499 9600.500 0630.500 0720.500 0260.500 150
0.769 2740.761 4970.756 6640.740 8630.728 3670.655 7240.531 843
0.70.641 4240.656 6850.701 2280.735 4080.990 295
0.766 4610.775 6070.779 5350.789 1330.795 0310.820 8790.852 341
0.894 7430.894 8380.893 9010.888 6810.883 2580.842 1870.764 376
0.90.948 7880.953 1480.963 6960.970 7741.018 802
0.964 5980.968 4280.970 1710.973 9460.976 0570.984 7900.995 057
0.984 2740.985 3850.985 7650.986 0430.985 7900.981 2100.971 119
"} {"image_path": "images/756d6c0d0643077193c033fba2ff879a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FactorsParameterVariables
$\\text{FR}^a \\, [\\text{bpm}]$$ TV^{a}[L] $$ \\mathrm{MV}^{a}[\\mathrm{lpm}] $$\\text{COZI}^b \\, [\\text{ppm}]$$\\text{UE}^b$
Subjectp<.0001<.0001<.0001————
$\\% \\text{VCR}^3$84.7 75.552.1————
Session (air $/ \\mathrm{O}_{3}$ )p.010.006.109————
Mean$29.3 / 30.4$$1.10 / 1.04$30.6/29.8————
Gender (W/M)P<.001<.001.066.011.001
Mean$32.7 / 27.0$$0.93 / 1.21$$29.4 / 31.0$$0.242 / 0.261$0.871/0.914
"} {"image_path": "images/1374029baf27e9b4819a6c70f12a8ba2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
t$U_{1}$$U_{3}$$U_{5}$$U_{7}$$U_{9}$
-16.354097.299737.272437.274997.27369
-4/56.508737.481017.453367.456087.45448
-3/46.549237.528197.500597.503337.50195
-2/36.618487.608647.581207.583987.58252
-1/26.763997.776927.750017.752837.75102
-3/106.952307.993547.967327.970207.96833
-1/47.001948.050498.02441 8.027298.02529
-1/57.052708.108658.082698.085608.08387
07.267648.354478.328668.331598.32957
1/57.504088.624198.597878.600838.59894
1/47.566988.695858.669298.672268.66762
3/107.631548.769378.742518.745498.74048
1/27.907859.083709.055189.058219.05398
2/38.163299.373939.343419.346479.34066
3/48.300959.530219.498499.501589.49957
4/58.387069.627949.595439.598589.59680
18.7613710.0524410.0163710.0197310.01662
"} {"image_path": "images/7001a1edaba32e0a953dbedad9e9b501.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
实验编号Test No设计变量 Design variable内表面应力差The stressdifferenceof innersurface$\\sigma_{1} / \\mathrm{MPa}$外球面应力差Sphericalstressdifference$\\sigma_{2} / \\mathrm{MPa}$
r/mmt/mmh/mm
10.500.101.1051.1753.303
20.600.101.2537.959-4.665
30.600.101.2537.959-4.665
40.600.101.25 37.959-4.665
50.700.001.25 38.599-5.345
60.500.201.2558.8815.193
70.700.201.2551.604-2.529
80.600.101.2537.959-4.665
90.600.101.25 37.959-4.665
100.500.001.2555.9840.212
110.700.101.4048.68-3.4
120.600.201.1055.4382.296
130.600.201.4056.1330.847
140.600.001.1036.823-2.028
150.700.101.1041.466-2.666
160.500.101.40 62.8120.935
170.600.001.4052.907-3.471
"} {"image_path": "images/1dd1fca6cd6b2169178a5c9f9d3b8700.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
属 性方 法
alphainitDeviceOrientationEvent
beta
gamma
webkitCompassAccuracy
webkitCompassHeading
"} {"image_path": "images/db82eb9bedbcd3f801678033e6c47060.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$n=D_{0}/h$$\\Delta t$ = 0.005$\\Delta t$ = 0.001$\\Delta t$ = 0.0005
t$(D/D_0)_M$t$(D/D_0)_M$t$(D/D_0)_M$
421.6601.2801.6691.2801.6701.271
841.6611.2671.6911.2371.6921.235
1681.6921.2371.6921.2351.6901.235
3361.6911.2351.6901.235
"} {"image_path": "images/a7d362477625ec4cb4c8fbb3c47fa6ea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Filler/pigmentMorphology ofparticlesCPVC(%)$pH^{21}$$Conductivity^{21}$$(\\mu S/cm)$
Filler based on graphite
$C_{natural}$Lamellar445.9494
$C_{natural} /PANI$Lamellar332.05420
Fillers based on silicates
$Mg_3 (Si_4 O_{10})(OH)_2$Lamellar478.9103
$Mg_3 (Si_4 O_{10})(OH)_2$/PANILamellar374.41849
$Al_6 Si_2 O_{13}$Lamellar335.921
$Al_6 Si_2 O_{13}$/PANILamellar312.42160
Comparative pigments
Zn-AlorthophosphateIsometric416.1205
PANIIsometric321.412600
"} {"image_path": "images/18b2d94eb7b824a1ebc22a483fdbc441.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TestNo。Depth at which theplate was located, mTested soilValues of the modulus of compres-sibility
for a pressureof 2.5 kg/$$\\text{cm}^2$$for a pressureof 4.0 kg/$$\\text{cm}^2$$
47.05Medium sand withgravel and pebbles700700
513。00Silty sand350300
88。53Medium sand withgravel and pebbles660540
97。00Medium clayey sand350240
1710。08Loam200140
1811。90Silty sand520350
107。15Medium sand withpebbles980630
1312。03Silty sand350350
115。53Medium sand16401300
147。70Sandy ioam400320
159。05Silty sand700500
1611。35Silty sand490230
196。90Loam350300
209.50Silty sand410370
"} {"image_path": "images/51e2ae27b0c0051ae68b2736f27b9c2b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Solution 85 (nonlinear Yarkovsky model)
Epoch2011-January-1.0 TDB
Semimajor axis (a)1.126391025996 (42) au
Eccentricity(e)0.203745112(21)
Perihelion dist. (q)0.896894360(24) au
Perihelion time $(t_p)$2010-August-30.6419463(30) TDB
Long. of asc.node (Ω)2.0608668(37)°
$Arg. of perihelion (ω)$66.2230699(55)°
Inclination (i)6.0349391(27)°
$Bulk density (ρ)$$1181.1(6.3) kg/m^{3†}$
$\\chi^{2 \\ddagger}$68.37
Solution 87 (transverse Yarkovsky model,d=2.25)
Epoch2011-January-1.0 TDB
Semimajor axis (a)1.126391026404(40) au
Eccentricity (e)0.203745114(21)
Perihelion dist.(q)0.896894358(24) au
Perihelion time $(t_p)$2010-August-30.6419468(30) TDB
Long.of asc.node (Ω)2.0608670(37)°
$Arg. of perihelion (ω)$66.2230705(55)°
Inclination (i)6.0349388(27)°
Transverse accel.$(A_T)$$-4.618(24) × 10^{-14} au/d^2$
$\\chi^{2 \\ddagger}$68.73
"} {"image_path": "images/9d61e24525662519edca81c29c37811b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Boundary conditionReferencesAspect ratio (a/b)
1/11/21/3
All edges clamped[38]144.5101.8994.4
[39]144.716101.27694.364
[22]144.5109101.143694.0999
GDQM144.5109101.143694.0999
Edges along length b clamped, edges along length a simply supported[40]124.3699.0994.85
[39]124.22398.92693.770
[22]124.015498.762693.5795
GDQM124.015498.762693.5795
Edges along length a clamped, edges along length b simply supported[40]124.3666.3260.50
[39]124.23266.33658.615
[22]124.015466.221358.5
GDQM124.015466.221358.5
"} {"image_path": "images/c4392c578f3ed3f251dbe3d3d2cfbb0e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
企 業 名 稱職稱姓名或代表人持有股份
股數(股)持股比率
MEC ELECTRONICS(HK) COMPANYLIMITED董事彭國銘00%
董事袁万丁00%
MEC ULTRAMAX(H.K.) COMPANYLIMITED董事彭國銘00%
董事袁万丁00%
MEC BEST KNOWNCOMPANY LIMITED董事彭國銘00%
董事袁万丁00%
HOMEPRIDETECHNOLOGYLIMITED董事彭國銘00%
董事袁万丁0%0
MEC ELECTRONICSPHILIPPINESCORPORATION董事長楊維顏00%
董事彭國銘00%
董事呂怡興00%
董事OLIVIA T.DE PERIO00%
董事CUA,JULIE00%
總經理呂怡興00%
龍翰電子(蘇州)有限公司(註)董事長彭國銘--
董事袁万丁--
董事楊宗霖--
監事王雪慧--
總經理彭國銘--
蘇州瀚騰電子科技有限公司(註)董事長彭國銘--
董事袁万丁--
董事楊宗霖--
監事王雪慧--
總經理闕河宗--
東莞奇翰電子有限公司( 註 )董事長彭國銘--
董事楊宗霖--
董事林盈運--
監事王雪慧--
總經理林盈運--
MEC IMEX (USA), Inc. 董事/代表人楊維鑫00%
"} {"image_path": "images/42d1ff945623471bf26ce76cadbff4ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StepSelection valve position (PSV)ActionTime $(s)^{a}$ Description
Determination of P(V): sequence 1
A1Aspiration5Ascorbic acid toward HC
B2Aspiration5P(V)sample/standard towardHC (to select with $SV_{1}$ )
C4Aspiration5Ammonium molybdate toward HC
D6Delivery120Delivery to the $RC_{1} $ and detector (to select with $SV_{2}$ )
Determination As(V): sequence 2
E1Aspiration5Ascorbic acid toward HC
F2Aspiration5As(V) sample/standard toward HC(to select with $SV_{1}$ )
G4Aspiration5Ammonium molybdate toward HC
H5Delivery120Delivery to the $RC_{2}$ (55°C) and detector (to select with $VS_{2}$ )
Determination of As(Ill): sequence 3
I1Aspiration5Ascorbic acid toward HC
J2Aspiration5As(Ill) sample/standard toward HC(To select with $SV_{1}$ )
K3Aspiration2$KIO_{3}$ toward HC
L4Aspiration5Ammonium moly bdate toward HC
M5Delivery$130^{b} $Delivery to the $RC_{2}$ (55°C) and detector (to select with $SV_{2}$ )
"} {"image_path": "images/97e5c31cf7899f470319b46766587f51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年份名义GNP(亿元)工资(亿元)信贷(亿元)利率( % )固定资产(亿元)折旧率( % )间接税(亿元)实际GNP 增长率 ( % )修正系数$\\eta$
19835 9571 8153 4315.766 8334.2068911.11 430/952
19847 2062 3474 4205.767 3714.4080915.31 833/1 185
19858 9892 9945 3666.728 0054.701 09813.22 543/1 681
198610 2013 7727 5907.209 0424.901 2028.53 030/1 979
198711 9544 4969 0327.2010 2014.901 28211.53 641/2 298
198814 9225 91610 5518.6811 7875.001 48611.34 497/2 763
198916 9186 66512 40911.1213 3955.001 7604.24 138/2 536
199018 5987 31715 1669.7015 3524.801 8594.24 449/2 919
199121 6628 38318 0449.0017 8565.501 9819.15 509/3 628
199226 65110 73621 6168.6420 5465.502 24414.17 855/5 274
199334 56014 63426 4619.3625 1465.603 19513.112 458/7 658
199444 67019 81433 21910.9833 0065.703 91412.616 370/9 323
199557 49524 11445 26010.9842 5955.704 5909.020 019/10 898
199666 85127 83161 15610.0850 4285.705 2709.822 913/12 006
199773 45330 65874 9148.6453 6915.706 6278.5 24 941/13 092
"} {"image_path": "images/be1919e6dab90c1ce7f283b71af75e81.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Solution methodStochastic $H_∞-\\gamma$Stochastic $H_2$ upper bound -M
$Quadratic^2$No solutionNo solution
Robust (Finsler)1.36 (Lemma 3)5.16 (Corollary 1)
Improved solution1.32, $\\epsilon$ = 0.001 (Theorem 2)5.01 (Corollary 2)
Gain scheduling0.47 (Corollary 3)1.1, Equation (27)
"} {"image_path": "images/d88fd77ea7378da3b07b8ec9cb6dd1cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$S_1$$S_2$$S_3$
$L_{ij1}$011000010111000000000
$L_{ij2}$011000010111000000100
$L_{ij3}$111000010111000000100
$L_{ij4}$101000010111000000100
$L_{ij5}$100000010111000000100
$L_{ij6}$100000011111000000100
$L_{ij7}$100000011111100000100
$L_{ij8}$100000011111110000100
$L_{ij9}$100001011111110000100
$L_{ij10}$100011011111110000100
$L_{ij11}$100111011111110000100
$L_{ij12}$100111011110110000100
$L_{ij13}$100111011110110000000
$L_{ij14}$100111011100110000000
"} {"image_path": "images/da6f0d7efb47f080caa13956632cc525.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工程类别项目名称规 模备 注
大 型中 型小 型
城市道路路基工程 城市快速路、主干道路基工程≥5 km,单项工程合同额≥3 000万元 城市快速路、主(次)干道路基工程2~5 km,单项工程合同额1000万~3000万元 城市次干道路基工程<2 km,单项工程合同额<1000万元 含城市快速路、城市环路,不含城际间公路
路面工程 高等级路面≥10 万$m^{2}$,单项工程合同额≥3 000万元 高等级路面5万~10万 $m^{2}$,单项工程合同额$1000$万~3000万元 次高等级路面,单项工程合同额<1000万元
城市公共广场广场工程 广场面积 ≥5 万$m^{2}$,单项工程合同额≥3000万元 广场面积 } 2万~ 5万 } $m^{2}$, 单项工程合同额1 000万~3 000 万元 单项工程合同额<1000万元含体育场
城市桥梁桥梁工程 单跨跨度≥40 m;单项工程合同额≥3 000万元 单跨的跨度20~40 m;单项工程合同额1000万~3000万元 单跨跨度<20 m;单项工程合同额<1000万元含过街天桥
地下交通隧道工程 内径(宽或高)≥5 m或单洞洞长≥1000 m,单项工程合同额≥3000万元 内径(宽或高)3~5m,单项工程合同额1000万~3000万元 内径(宽或长)<3 m,单项工程合同额<1000万元 含地下过街通道;小型工程不含盾构施工
车站工程 单项工程合同≥3000万元 单项工程合同<3000万元 小型工程不含车站工程
城市供水供水厂 日处理量≥5万t,单项工程合同额≥3000万元 日处理量3万~5万t,单项工程合同额1000万~3000万元 日处理量<3万t,单项工程合同额<1000万元 含中水工程,加压站工程
供水管道 管径≥1.5m,单项工程合同额≥3000万元 管径0.8~1.5 m,单项工程合同额1000万~3000万元 管径 <0.8 m, 单项工程合同额 < 1000万元 含中水工程,本表中的管径为公称直径DN
"} {"image_path": "images/4d0217c5b67ad8625e8e350cf16bd328.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Distress Group H,DRecovery Group D,H
NYSE inS#P 400 NYSEOutsideS#P 400NYSE inS#P 400 NYSEOutsideS#P 400
CompustatSample11522982154
InsufficientCRSP Data141191064
Sample Size1011107290
"} {"image_path": "images/5caa5ce22af4f4d240859db914895e0e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
願或 .栗恕 .朱安仁 .杜思進 .田友信 .徐輝 .石璞 .傅鑼 .
由教驗陞 .人 内才 . 黄人 .
盧淵 .劉# .王翼 .齊泰 .葛瑾 .葉# .許濂 .
太 新學 建生 . 人 .進 江士 . 陵人 .進 魚士 . 臺人 .進 溧士 . 水人 .進 沂士 . 水人 .薦舉 .濰縣人 .
"} {"image_path": "images/9295383fc90fb819141b32b222c8b278.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ActinProbe(s) and labelled residue(s)
UnlabelledANN-Ser181ANN-Ser181/IAF-Cys707FHS-Lys553/ANN-Ser181IAEDANS-Cys707IAEDANS-Cys707/FHS-Lys553
0 μM0.050.080.050.040.190.19
17 μM0.250.200.150.090.360.27
30 μM0.450.400.270.170.610.33
"} {"image_path": "images/f34ed6e6cb3aa29ad287d9cd08a4bf9e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Plantspecies Plant community in a lowPlant community in a high
Grazed site Reserved siteGrazed siteReserved site
Apriln=2Junen=3Apriln=3Junen=3Apriln=2Junen=3Apriln=3Junen=3
Agropyroncristatum$24.0\\pm2.08$$19.3\\pm 4.2$$87.1 \\pm 19.3$117.4 $\\pm$ 27.00000
Stipa $\\mathrm{spp}$.$4.6 \\pm 3.25 $$31.3 \\pm 9.4$$9.50 \\pm 3.88 $$16.1 \\pm 13.14 $0000
Festucavalesiaca$ 8.2 \\pm 5.30 $$3.6 \\pm 1.47$$4.4\\pm 3.59$0 0000
Poa bulbosa$28.6 \\pm 17.39$000$12.7 \\pm 0.24$$9.9 \\pm 3.2$$30.0 \\pm 7.74$$21.3 \\pm 2.60$
Leymusramosus0000$ 2.0 \\pm 1.4 $$1.1 \\pm 0.9$
Artemisiaaustriaca$27.9 \\pm 15.90$$28.8 \\pm 3.0$$12.7 \\pm 5.43$$17.2 \\pm 13.5 $0000
Artemisiapauciflora000$48.5 \\pm 0.99$16.9±0.5800
Galiumruthenicum00$17.96 \\pm 4.46$$35.57 \\pm 15.18$0000
Kochiaprostrata000000$72.65 \\pm 0.35$$45.6 \\pm 5.60$
Lepidiumperfoliatum0000$43.5 \\pm 6.18 $$15.3 \\pm 4.28$$1.0\\pm 0.2 $ 0
Medicagoromanica$3.26 \\pm 1.40$0$4.7 \\pm 2.36 $$27.86 \\pm 17.20$ 00 0 0
Otherspecies9.041.722.216.3 4.40 1.7 1.7
Total$105.6 \\pm 8.16$$84.7 \\pm 13.4$$158.6 \\pm 11.7$$230.4 \\pm 21.15$111.1±2.93$43.1 \\pm 0.3$$105.3 \\pm 6.9$$68.6 \\pm 8.1$
"} {"image_path": "images/86e08c909347655d0b43b17e8cfbbc92.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
法规名称条文号所在页码引用意义
431,432,433332因果关系的判断标准
435 (2)348因果关系的判断
766C178对纯粹经济损失的赔偿限制
《美国合同法重述》(第二版)353251违约责任与精神损害赔偿的关系
英国 1945 年过失相抵改革法161过失相抵
英国 1846 年致命事故法案235死者近亲属等的赔偿请求权
1994 年国际统一私法协会《国际商事合同通则》7.4.2251完全赔偿
汉谟拉比法典196,197187 (注释 1)对人身损害的同态复仇
"} {"image_path": "images/d471bbb9477317977b71421cbfb19d31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
判别式临界值准确度 (%)
$Z=X_{4}-0.154\\ 36 X_{5}$-101.5494.29
$Z=X_{3}-0.239\\ 46 X_{5}$-201.9592.86
$Z=X_1-0.229\\ 93 X_5$ 499.4192.86
$Z=X_{1} X_{4}+3421.373\\ 18 X_{5}$ 4 849 069.0392.86
$Z=X_{1} X_{2} X_{3}-18161.751\\ 63 X_{5}$-22 335 647.6392.86
$Z=X_2-1.084\\ 63 X_5$ -1392.2392.86
$Z=X_{1}+2.349\\ 18 X_{4}+0.370\\ 84 X_{5}$425.1992.86
$Z=X_{1}+0.872\\ 09X_{4}$276.4188.57
$\\mathrm{Z}=\\mathrm{X}_{1}+0.885\\ 52 \\mathrm{X}_{2}+0.343\\ 46 \\mathrm{X}_{5}$343.7288.57
$Z=X_{1}+0.510\\ 14 \\mathrm{X}_{5}$244.3887.14
$Z=X_{1}+0.905\\ 65 X_{2}$299.8485.72
$Z=X_{1}X_{2}X_{4}-6531.302X_{4} $2 524 519.3685.72
$Z=X_{1}+0.827\\ 51 X_{2}+0.431\\ 77 X_{4}$339.2585.72
"} {"image_path": "images/4c87615b6005c4398b7196fe6315d12a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
性能温度 /℃钢号抗拉强度$σ_b$/MPa伸长率$\\delta$(%)断面收缩率$\\psi$(%)$a_{K}/J\\cdot \\mathrm{cm}^{-2}$硬度 HV
20℃600℃700℃600℃700℃600℃700℃20℃600℃300℃600℃700℃750℃
LM1243015307947.311.315.030.6203058644015496
LM2230014806986.710.417.838.330.82064343912478
3Cr2W8V1620105045010.817.053.380.728.736.039631315597.8
012Al192013706967.69.544.855.024.732.6376296146115
CG-2153082046712.518.056.882.025.039.0391268143119
GR185011807436.67.636.553.823.036.0336293151109
HM1172091057510.920.965.882.328.553.4386293144109
"} {"image_path": "images/e186dd8c00119286d3da7171c8c2bc4e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AgeCochran's Q comparing ages
1516181915 to 1916 to 1915 to 16
All subjectsN = 1,40229.357.469.374.2$926.77^c$$168.08^{c}$$267.65^{c}$
NobaselineblackoutN = 99100.049.164.069.8$1350.16^{c}$$163.41^{c}$$487.00^{c}$
YesbaselineblackoutN = 411100.077.482.284.7$128.13^{c}$$12.50^{b}$93.00^{c}$
"} {"image_path": "images/59b012bcd6612767312079c8628195b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\chi^2$d.f.P
Juvenile males
CJS102·5532 < 0·001
Transience83·9025< 0·001
Trap-dependence79·4326< 0·001
Combined89·2938< 0·001
Adult males
CJS131·8939 < 0·001
Transience109·8232< 0·001
Trap-dependence73·9223< 0·001
Combined79·5638< 0·001
Juvenile females
CJS102·0037< 0·001
Transience33·59300·298
Trap-dependence93·6131< 0·001
Combined---
Adult females
CJS106·7632< 0·001
Transience87·4825< 0·001
Trap-dependence82·7026< 0·001
Combined76·7442< 0·001
"} {"image_path": "images/c1e2513b5a4657b4bbc87afad2352aa9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\frac{\\text{well depth, }d}{\\mathrm{eV}}$$n(\\mu)$$n(\\alpha)$n(B)n($\\omega $)
monatomic-diatomic reactants
0.51.60.80.90.4
1.01.60.80.90.6
2.01.70.80.90.7
3.01.70.90.80.8
diatomic-diatomic reactants
0.51.60.81.80.6
1.01.70.91.81.1
2.01.80.91.71.5
3.01.90.91.61.7
"} {"image_path": "images/1d5171f5316c4da8c8a0a4edd54f472a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(%)Mean (SD)ReferencerangeLower thanreference (%)Higher thanreference
Vitamin B1158.1 (80.2)59 to 2133.113.8
Vitamin B12741.5 (432.2)200 to 9502.722.6
Vitamin B651.9 (53.8)20 to 20223.11.9
Vitamin C15.57 (13.4)26.1 to 84.682.70
"} {"image_path": "images/59e4ad32a99a6468d255e14e627cdc25.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TraitBreedNo.ADP:$O^c$ATP synthesis $rate^d$
PMRPMR
Cow's weaningweight deviationsHereford12.10.31-.20-.36
Angus13-.15-.03-.14-.04
Brangus8-.41-.44-.51-.54
Cow's maternal half-sibsweaning weight ratioHereford12.36.60*-.06-.63*
Angus13-.22-.25-.31-.17
Cow's progeny meanweaning weight ratioHereford12.13-.03-.13-.14
Angus12-.79**$.72^{* *}$-.35-.60*
Brangus9-.15.21-.23.22
Cow's yearlingweight deviationsHereford10-.07.01.21.15
Angus13.10.11-.08.01
Brangus8-.53-.29-.26-.38
Cow's maternal half-sibyearling weight ratioHereford11.01.17.32.15
Angus12-.21-.06-.07-.08
Cow's progeny meanyearling weight ratioHereford9.32.25.14-.13
Angus11-.49-.30-.25-.25
Brangus5-.51-.60-.51-.60
Cow's paternal half-sibsweaning weight ratioHereford12.19.11.63*.23
Angus13-.50+-.16-.63*.00
Cow's paternal half-sibsyearling weight ratioHereford12-.44.25.47.17
Angus13-.52+-.22-.63*.03
"} {"image_path": "images/c8bfc8f7ed9e3c9476f2f5dc6a7be700.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Before the introduction ofparental leave (reference year 1995)After the introduction ofparental leave (reference year 1999)Total
N% working0 hours -1996% working0 hours -1997% working0 hours -1998N% working0 hours -2000% working0 hours -2001% working0 hours -2002N
Mothers of one child35729.134.231.044714.420.021.9834
Mothers of two children11526.129.626.112510.916.316.3240
Childless women71194.06.88.586514.57.29.515770
Total7593922316816
"} {"image_path": "images/d4055de6da805f75d19fd5b1819a401d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
구 분당분기말전기말
장부금액공정가치장부금액공정가치
금융자산:
현금및현금성자산14,382,56714,382,5678,303,3358,303,335
미수금39,25039,250173173
미수수익587,290587,2907,634,0197,634,019
보증금177,202177,202175,778175,778
금융자산 합계15,186,30915,186,30916,113,30516,113,305
금융부채:
미지급비용2,169,6772,169,6772,501,8792,501,879
"} {"image_path": "images/4ea9c6dde32616848b600b1ec45e8176.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
变 量参 数估算值(t)
固定成本$a_0$-31.025
$F_{Bier}$产品特有的固定成本$a_1$5497.213(0.46)
$F_{AfG}$产品特有的固定成本$a_2$5491.937**(2.62)
$x_1$啤酒$b_1$68.676**(19.67)
$x_2$AfG$b_2$7.265**(2.75)
$x_1^2$$啤酒^2$$b_3$0.018**(17.40)
$x_2^2$$AfG^2$$b_4$0.046(1.14)
$x_1$·$x_2$相互作用$b_5$0.055**(12.63)
**:1$\\%$水平的显著性$ \\begin{array}{l}\\text { adj. } R^{2}: \\\\ \\quad F:\\end{array} $ 0.947137.221
"} {"image_path": "images/304a4628062d684cbddc779e7042d6e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sl.No. DescriptionDesign value
1Nominal Flow Rate170 m^3/h
2Nominal Operating Temperature350 ℃
3Maximum Sodium Temperaturepermissible450 ℃
4Shut-off Head$9 kg/cm^2 at 360V ( L-L)$
5OperationContinuous
6Mounting PositionHorizontal
7Pump Duct Design Pressure$10 kg/cm^2$
8Line Voltage360 V, 3 Phase
9Frequency50 Hz
10Line Current308 Amps
11Power Factor0.5 at rated condition
12Efficiency (%)19.3
13Input Power98 kW
14CoolingForced Air Cooling
15Number of Poles6
16Slot per pole phase2
17Maximum Stator Current Density$3.67 Amp/mm^2$
18Tooth Flux Density0.61 T
19Annular gap for sodium flow10.5 mm
20Operating Slip0.42
"} {"image_path": "images/e589804866f84d5c59fe48b32d8dc3b8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$a$$b$$c$$d$$e$
110110
211001
300100
400100
511001
610010
"} {"image_path": "images/6fddddfc3dc0c610bf6999e2dfc4f49f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
compdX = Y =Z = H$X = CH_{3}$,Y = Z = HX = Z =$CH_{3}$,Y = Horigin
$O_{3}$34.8expt
XCH=(Z)CY14.58.52.1expt
XCHOOO(Z)CY0-7-14theory
XCH=O-27.1-37.1expt
XCHOO3823theory
$OCH(X)O^{b}$4-11theory
OCH(X)O(Y)C(Z)O-50-58-68theory
"} {"image_path": "images/491e12bffc988cc1e048225d347c162c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$h_x=h_y$Scheme 1A-stableScheme 2L-stableScheme 3SDIRKScheme 4CROS Scheme 5Conservativecharacteristic
1/123.158253.170233.170913.23104.059506
1/242.661170.252.671380.252.671310.252.6550450.28.184889 -
1/481.781520.581.784060.581.784200.581.782180.58.1164010.67
.01.7611521.16.7609971.16.7611571.16.7611281.16.0686810.72
.005.5800370.39.5223810.54.5110350.57.3672091.05.109160 -
.0025.3683890.65.3439880.60.3386820.59.2574650.51.151897 -
.001.1567750.93.1485380.91.1466230.91.1180790.85.1217690.24
"} {"image_path": "images/8a8a49cc48b6b246aafb9a99b1ff3282.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.PositionActualvalue $(^\\circ{C})$Calculatedvalue $(^\\circ{C})$Absoluteerror $(^\\circ{C})$Relativeerror (%)
x (mm)y (mm)
140-90160.5160.4-0.1-0.06
240-45162.4160.7-1.7-1.05
3400163.1161.2-1.9-1.16
44045162.5160.7-1.8-1.11
54090160.6160.4-0.2-0.12
680-90162.0161.6-0.4-0.25
780-45165.0164.1-0.9-0.55
8800167.4170.02.61.55
68045165.1164.1-1.0-0.61
108090161.8161.6-0.2-0.12
11120-90161.4164.02.61.61
12120-45176.0171.0-5.0-2.84
131200194.2195.21.00.51
1412045175.7171.0-4.7-2.68
1512090161.2164.02.81.74
16160-90162.2166.64.42.71
17160-45174.0173.3-0.7-0.40
181600181.0181.80.80.44
1916045173.8173.3-0.5-0.29
2016090162.3166.64.32.65
"} {"image_path": "images/a290b2f9bbce32328ea2d8a64ac93e29.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Data set/statisticsModel (independent variables from lag 0 to each duration)
Lag 0 Lag 1Lag 2 Lag 3Lag 4Lag 5Lag 6
Data set 1
Adjusted $R^{2}$0.040.090.280.561.001.001.00
AIC8.128.065.71-0.07-85.19-75.15-81.46
BIC9.259.767.972.75-81.80-71.76-78.28
Data set 2
Adjusted $R^{2}$-0.010.810.961.001.001.001.00
AIC85.0263.7545.49-78.08-76.84-68.47-59.85
BIC86.1565.4447.75-75.26-73.45-65.08-56.67
Data set 3
Adjusted $R^{2}$0.000.840.961.001.001.001.00
AIC87.3864.3946.72-71.68-72.11-64.41-58.33
BIC88.5166.0848.98-68.85-68.72-61.02-55.15
Data set 4
Adjusted $R^{2}$-0.050.110.020.691.001.001.00
AIC90.9889.5991.5377.15-84.20-78.27-70.29
BIC92.1191.2893.7979.97-80.82-74.87-67.11
"} {"image_path": "images/bfb8bc890d60bb4a676c60ec8d806b00.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$3,5-\\mathrm{DNS}$Phenol-sulphuric acid colorimetry Enzymatic colorimetry
CKFColorimetryCKFLVKFCKFLVKF
Replicate 153.789.951.485.630.345.4
52.193.255.695.231.542.4
Replicate 252.590.045.491.728.743.2
50.997.959.297.930.241.7
Replicate 353.990.653.284.531.641.7
53.295.558.799.630.241.1
Mean±SE $53.4\\pm 0.4^{a}$ $90.2\\pm 0.2^a$ $50.0\\pm 2.4^{\\mathrm{a}}$ $83.9\\pm 2.3^a$ $ 30.2 \\pm 0.9^{a} $$ 43.4 \\pm 1.1^{a} $
$52.1 \\pm 0.7^{a}$ $95.5\\pm 1.4^a$ $57.8 \\pm 1.2^{\\mathrm{b}}$$ 97.7 \\pm 1.4^{b} $$30.6 \\pm 0.5^{\\text {a }}$$41.7 \\pm 0.4^{\\mathrm{a}}$
"} {"image_path": "images/1e109b3857524976486927ff6298f0da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Wood Drydensity$(g /dm^{3})$Measurementcross sectionb × h($~~~mm^2$)Condition dryCondition wet
Moisturecontent(weight-%)Cuttingdepth(mm)Moisturecontent(weight-%)Cuttingdepth(mm)
Oak68050 × 605.22.5424.5
E. beech68060 × 606.52.5614
Spruce40060 × 6010.14605
"} {"image_path": "images/c31adbc874914289e8e6dd2f604940cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$O_{2}$ (%)$T_{BED}$ (℃)$u_{\\mathrm{f}}~\\left(\\mathrm{m}/\\mathrm{s}\\right)$$h~(\\mathrm{W/m}^2\\ \\mathrm{K})$
AF
218171.37536.8
218451.55571.1
218461.68488.6
218491.21454.3
218591.13575.7
218681.50476.5
218701.56576.6
218711.42576.3
OF
31.48841.13361.8
32.08820.89536.3
37.38270.75495.9
37.28310.95460.0
36.38470.92456.3
37.38580.95456.9
37.08610.9456.8
43.98840.92543.5
41.38930.9491.4
43.08980.79396.0
41.89440.82358.0
40.89640.92544.0
50.49430.98538.0
50.58950.95563.9
50.99180.82580.9
53.58940.92426.9
57.59181.06473.2
57.88330.98529.8
59.68850.86431.0
"} {"image_path": "images/32a0704db7ac413872918e8c5731d926.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dependent variable Financial KIBS (t)All other (non-KIBS) sectors (t)
Financial KIBS (t)--
All other (non-KIBS) sectors (t)0.130***(0.050) -
Financial KIBS (t -1)0.078***(0.021)0.027***(0.007)
All other (non-KIBS) sectors (t -1)0.181***(0.046)0.395***(0.028)
Model 3: Non-financial KIBS versus all other (non-KIBS) sectors
Dependent variableNon-financial KIBS(t)All other (non-KIBS) sectors (t)
Non-financial KIBS (t)--
All other (non-KIBS) sectors (t)-1.133***(0.350)-
Non-financial KIBS (t - 1)0.014(0.012)0.009***(0.002)
All other (non-KIBS) sectors (t -1)0.763***(0.189)0.391***(0.028)
"} {"image_path": "images/0da325f76466b9e0cf813231278a568e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableMeanStd. Dev.MinMax
Health0.5610.827- 1.6612.094
$CO_2$30.5650.91827.06332.545
AF4.5631.378-0.3426.759
$NO_2$13.2090.72611.03514.404
$SO_2$13.2010.8999.73814.510
Pop8.1480.7606.2489.292
Oil5.5633.077- 4.6059.060
Gas2.0982.053-4.6055.166
"} {"image_path": "images/12179c02156525dc614d19b553778b42.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterNational Ocean Survey/National Geodetic Survey(1962-1974 With 1896 Baseline Length)U.S. Geological Survey
TotalNetworkSouthernDistrictNorthernDistrict(1972-1978)*$(1972-1981)\\dagger$
$\\dotε_{EE},$ μstrain/yr0.05 ± 0.080.01 ± 0.30-0.34 ± 0.18-0.16 ± 0.02-0.045 ± 0.021
$\\dotε_{NN},$ μstrain/yr-0.08 ± 0.08-0.22 ± 0.32-0.06 ± 0.17-0.08 ± 0.02-0.067 ± 0.023
$\\dotε_{EN},$ μstrain/yr-0.07 ± 0.050.05 ± 0.06-0.26 ± 0.13-0.02 ± 0.02-0.026 ± 0.009
Δ, μstrain/yr-0.03 ± 0.14-0.22 ± 0.61-0.40 ± 0.27-0.24 ± 0.03-0.112 ± 0.041
$\\dotγ_1,$ μrad/yr0.13 ± 0.100.23 ± 0.13-0.28 ± 0.23-0.08 ± 0.040.023 ± 0.017
$\\dotγ_2,$ μrad/yr-0.14 ± 0.100.09 ± 0.12-0.51 ± 0.26-0.04 ± 0.04-0.052 ± 0.018
θ, deg114 ± 1579 ± 14149 ± 14163 ± 10123 ± 9
"} {"image_path": "images/4e58d8538da4c2ece9d16cd1478517a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Tree age classN (%)P (%)K (%)Ca (%)Fe (ppm)Total sugar (%) Tannin (%)
1981
< 12 years old$1.50a^l$0.27a1.10a0.45a27.5a3.43a10.5a
> 25 years old1.67b0.28a1.05ab0.50a38.5b2.69b11.0a
> 40 years old 1.44a0.24b1.00b0.45a29.5a3.10ab7.5b
1982
< 12 years old1.31a0.20a1.13a0.30a24.3a2.74a17.2a
>25 years old1.27a0.13b1.29ab0.38b31.0b4.27a18.2a
> 40 years old1.34a0.20a1.38b0.39b27.2ab4.04a17.3a
"} {"image_path": "images/11738a9770038781225ed201fed09482.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TargetconcentrationLab 1Lab 2
MeasuredconcentrationVariance components %TotalSDTotalRSDMeasuredconcentrationVariance components %TotalSDTotalRSD
DayExtractPCRReplicatesDayExtractPCRReplicates
0.050.05087.812.20.0236.50.0929.864.06.50.10119
0.100.11095.05.00.0657.50.20544.541.60.1363
0.250.310.579.520.00.1547.30.43079.021.00.2456
"} {"image_path": "images/e31b28a9fe9f2242014a1b80f2121315.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
拌合物稠度卵石最大粒径 (mm)碎石最大粒径 (mm)
项目指标102031.540162031.540
坍落度(mm)10~30190170160150200185175165
35~50200180170160210195185175
55~70210190180170220205195185
75~90215195185175230215205195
"} {"image_path": "images/a779675596e4b9746825f27dffcc6050.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Interaction$a-b$${~~~~~~\\text{Accurate} \\\\{theoretical values}^\\text{a}}$Oscillator with $\\Delta=I$Eqs. (63), (64)Oscillator with $\\Delta^{K}$Eqs. (63), (64)Unsöld with $\\bar{\\Delta}^{K}$Eqs. (65), (66)
$\\alpha_d$ $(a)$$-C_{6}^{K}$$\\Delta_\\alpha$$-C_6$$W_4$$-W_{4} / C_{6}$$\\Delta_{\\alpha}^{K}$$W_4$$-W_{4} / C_{6}$$\\bar{\\Delta}_a$$^K$$W_4$$-W_{4} / C_{6}$
He-He1.3841.4560.90331.2980.3530.2721.0140.4990.3421.2730.7860.540
He-Ne3.012.330.5570.2391.210.4012.810.967
He-Ar9.638.121.420.1742.310.2406.380.657
Ne-Ne2.6636.310.79234.210.8820.2091.192.960.4692.2811.01.74
Ne-Ar19.714.82.270.1535.520.28023.51.18
Ar-Ar11.08065.40.579053.35.960.1120.71011.00.1681.5552.30.800
"} {"image_path": "images/1242c9d1c003e0e7936de0f2bd621996.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No ofAntennaelementsDR shapeFrequency(GHz)Feed typeAxial ratiobandwidthReferences
1C-Shaped5strip44%[67]
1Rectangular withInclined slits5.2Probe210 MHz[68]
1Rotated StackedRectangular9.8Slot6%[69]
1Cylindrical withalford loop2.4Probe 7%[70]
1Rectangular withInclined slots3.5Probe25%[71]
1Rectangular withdiagonal groove1.5,2.4Slot6.3% and3.68%[72]
1Half Cylinder6Strip27%[73]
3Elliptical10Dielectricimage line5.3%[74]
1Rectangular,Fractal5.5,5.9Cross-slots5.85%[75]
1Elliptical (Hybrid)60ModifiedSlot10%[76]
1Cylinder3.3Helical tape6.4%[77]
1Vertical Cross4.7Probe6.8%[78]
"} {"image_path": "images/25e88f23859ea1574d82ba6d21e682f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaleFemale
Age,Yrs.No.AverageSurfaceArea, Sq.MetersAge,Yrs.No.AverageSurfaceArea, Sq.Meters
3320.890
440.845420.848
520.860540.850
6130.8406220.910
7220.8907150.990
8150.9758340.970
9141.0809231.100
10161.19510261.160
11141.28011211.270
12201.27512151.315
1381.36013121.480
1491.44014121.600
1551.7051591.590
1641.5101661.610
1711.6401731.650
18182
"} {"image_path": "images/017f2b3b463d9fee9a0ef1407478fb52.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Batchno.Totalincubationperiod (d)Sealed for $\\mathbf{N}_{2}\\mathbf{O}$ sampling on day(s)
Without $\\mathrm{C}_2\\mathrm{H}_2$ With $\\mathrm{C}_2\\mathrm{H}_2$(10%, vol/vol)
14-1,2,3,4
281,2,3,48
316816
4321632
5483248
6644864
7806480
89680, 9596
"} {"image_path": "images/b3835a0ad45d3722854d22ff3d484b37.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NiTi deposition in AJA ATC co-sputter tool
NiTi target power (W)375
Ti target power (W)250
Thickness (nm)270
Deposition time (min.)18 minutes @ 15 nm/min.
Dep. Temp (°C)600
Argon flow (sccm)60
Chamber Pressure (mTorr)5
Table 2 SU8 2000.5 fabrication parameters
SU8 2000.5 fabrication (Micro Chem Corp.)
MaterialSU8 2000.5
Spin Speed (rpm)4,000
SU8 Thickness $(\\mu m)$1.0
Soft Bake2 min. @ 95℃
Exposure160 $mJ/cm^{2}$
Post Exposure Bake4 min. @ 95℃
Develop50 seconds in SU8 developer
RinseFresh SU8 developer, IPA
"} {"image_path": "images/b40be2ba1b5c239eda138f62eacf4d5a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MethodMaterial propertiesLocation ALocation B
MLS-MLPG1 [28]Homogeneous2.9182.140
FGM2.3602.594
Graded FEM [57]Homogeneous2.9082.137
FGM2.3692.601
RBF-MLPG1Homogeneous2.8852.127
FGM2.4202.620
RBF-MLPG5Homogeneous2.9012.131
FGM2.4032.607
"} {"image_path": "images/35782029ba368b488e73ff7e028affdf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Number of fishPassagesRP
MeanSDCV
Females655606.9 ∗ ∗2442.043.6-0.052N.S.
Immature males47 4693.3 ∗2786.859.40.055N.S.
Mature males123207.52461.776.70.809 $< 0.003$
"} {"image_path": "images/7450b5c1a7e2bb2747340a120bd78fe9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temp.,℃$P_{f}$,bar$Q_{f}\\times10^{6}$,$\\mathfrak{m}^{3}/\\mathbf{s}$$C_{f}$,$kg/m^3$$Q_{pt}\\times10^{6}$,$\\mathfrak{m}^{3}/\\mathbf{s}$reported$Q_{pt}\\times10^{6}$,$\\mathfrak{m}^{3}/\\mathbf{s}$predicted% errorin $Q_{pt}$$C_{pt}\\times10^{3}$,$kg/m^3$reported$C_{pt}\\times10^{3}$,$kg/m^3$predicted% errorin $C_{pt}$
2060222.082521.5822.86- 5.948689.60- 4.18
2080230.532530.0334.44- 14.697270.242.45
2055214.983514.4813.884.13178178.72- 0.41
2070220.953520.4522.17- 8.43137129.745.30
2050210.02409.528.639.31275300.54- 9.29
2080221.974021.4724.40- 13.63135138.90- 2.89
2555223.322522.8221.027.8995.00105.07- 10.60
2570231.052530.7530.271.5582.0083.39- 1.69
2550213.883513.3811.6712.81248.00225.099.24
2560218.823518.3217.593.99179.00169.945.06
2550211.14010.68.9315.77332.00320.213.55
2560216.084015.5814.665.92232.00223.853.51
2580223.74023.225.52- 10.00150.00149.050.63
"} {"image_path": "images/5863ae15a678d95b384016215467b7f3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nodes $(x, y, z)$$x=y=z=2^{-l}$Error for m=4Error for m=8
Present method 3D-BPFs [20]M3D-BPFs [16]Present method3D-BPFs [20]M3D-BPFs [16]
l=1 6.66685e - 133.15876e - 32.84228e - 33.63109e - 127.08309e - 46.68749e - 4
l=25.64413e - 121.85667e - 31.54020e - 35.73608e - 123.82788e - 43.43229e - 4
l=3 2.77594e - 125.54591e - 48.89154e - 42.36030e - 122.20028e - 41.80468e - 4
l=4 4.68601e - 125.54591e - 42.78803e - 49.03679e - 115.72676e - 59.90879e - 5
l=53.75699e - 125.54591e - 42.78803e - 4$2.31074 \\mathrm{e}-11$5.72676e - 52.27940e - 5
l=6 3.00451e - 125.54591e - 42.78803e - 48.53310e - 125.72676e - 52.27940e - 5
"} {"image_path": "images/96e8b814eb43fd2653b4cd07951e3ce1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Philosophy (general)Philosophy of science
1840Whewell, Philosophy oSciences
1865Mill, Examination of Sir William Hamilton'sPhilosophy
1866Lange, History of Mat
1872E. Dubois-Raymond,Knowledge
1873Jevons, The Principles
1874Kirchoff, Principles of
1877Peirce, 'The Fixation of Belief'
1878Peirce, 'How to Make Our Ideas Clear'Peirce, 'The Doctrine of Chances'
1881Helmholtz, Popular Le
1883Mach, The Science of
1885Clifford, Commonsens
1892Frege, 'On Sense and Reference'Pearson, The Gramma
1893Bradley, Appearance and RealityPeirce, Search for a Method (not completed)Mach, Popular ScientificHertz, The Principles o
1894Peirce, The Principles of Philosophy (notcompleted)
"} {"image_path": "images/4c321ecb1382a363737f388ed2d39904.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
XYμ
CO0.4694-0.46940.122
CS-0.16910.16911.834
SiO1.0667-1.06672.891
SiS0.6065-0.60652.083
XYHμ
HCO0.10800.3251-0.43321.602
HCS0.1700-0.33760.16761.152
HSiO-0.21151.1701-0.95863.130
HSiS-0.17380.6537-0.47992.369
XYHμ
COH0.2127-0.67990.46712.745
CSH-0.19840.09690.10142.624
SiOH0.5991-1.08520.48611.639
SiSH0.3298-0.46540.13561.156
"} {"image_path": "images/fd17553d8664c057e85dc8266cf82a33.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParametersDirectGauge 1
ε△x△te(W)g(W)e(W)g(W)
$10^{-2}$1/2001/1000$7.6793 \\times 10^{-3}$$ 1.1354\\times 10^{-1} $$ 7.8588\\times 10^{-3} $$2.8711 \\times 10^{-3}$
1/200 $1/ 2000$ $ 8.2751 \\times 10^{-3} $$ 4.9598\\times 10^{-1} $$ 7.5447\\times 10^{-3} $$ 9.9861\\times 10^{-3} $
1/8001/4000$ 1.7934\\times 10^{-3} $$ 1.2408\\times 10^{-1} $$1.8646 \\times 10^{-3}$$ 2.9916\\times 10^{-3} $
$1 / 1600$1/16,000$ 7.9308\\times 10^{-4} $$ 3.9234\\times 10^{-1} $$ 8.4647\\times 10^{-4} $$ 1.3249\\times 10^{-2} $
$10^{-4}$1/2001/1000$ 4.2631\\times 10^{-3} $$ 4.1433\\times 10^{-1} $$ 4.9486\\times 10^{-3} $$ 2.4506\\times 10^{-2} $
1/2001/2000$ 5.1528\\times 10^{-3} $$ 8.5937\\times 10^{-1} $$5.4107 \\times 10^{-3}$$1.4766\\times 10^{-2}$
1/8001/4000$ 1.3085\\times 10^{-3} $$ 2.5996\\times 10^{-1} $$ 1.4253\\times 10^{-3} $$ 2.4447\\times 10^{-2} $
$1 / 1600$1/16,000$ 7.2302\\times 10^{-4} $1.0294$ 7.0713\\times 10^{-4} $$ 1.3054\\times 10^{-2} $
$10^{-8}$1/2001/1000$ 7.0600\\times 10^{-3} $$6.4521\\times 10^{-1}$$ 5.8159 \\times 10^{-3} $$ 1.4861\\times 10^{-2} $
1/2001/2000$ 5.8872\\times 10^{-3} $ $$6.4091\\times 10^{-1}$$$ 5.8872\\times 10^{-3} $$ 6.4091 \\times 10^{-3} $
1/800$1 / 4000$$1.7611 \\times 10^{-3}$$ 6.7218\\times 10^{-1} $$ 1.4624\\times 10^{-3} $ $1.5544\\times 10^{-2}$
1/16001/16,000$9.1296 \\times 10^{-4}$$ 8.2410\\times 10^{-1} $$ 8.0587\\times 10^{-4} $$ 1.6092 \\times 10^{-2} $
"} {"image_path": "images/f41d598c9d46fb3cc9e7841568d7ab7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Community20162017
Surveyedhouses, n (%)Surveyed dogs,n (%) % dog-owninghouses surveyed $^{\\dagger}$$\\%$ dogs surveyed ${ }^{\\ddagger}$Total dog-owninghouses, n (%)Total dogs, n (%)
Bamaga22 (34)51 (29)$15^\\S$16$146(49)^{\\S}$374 (46)
Injinoo13 (20)40 (22)272849 (16)141 (17)
New Mapoon13 (20)31 (17)322241 (14)144 (18)
Seisia7 (11)28 (16)213633 (11)78 (10)
Umagico10 (15)28 (16)323731 (10)76 (9)
Total65 (100)178 (100)$22^\\S$22$300(100)^{\\S}$813 (100)
"} {"image_path": "images/95fa7b0b169c7ff38e7c7a1654b3c65c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temp.,$^\\circ\\text{C}$.$K \\times 10^{2},$$m^{-1}$$-\\Delta H$, kcal./mole
From eq. 20Froin eq. 6Average
05.7662.212.362.29
104.9482.132.182.16
204.4392.062.062.06
254.1342.032.092.06
303.9311.992.082.04
403.5251.932.112.02
50(3.119)$\\ldots^{a}$(2.08) . . .
"} {"image_path": "images/638064e299e90c5e41b12a70e022e5dc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目行次 计 划 数实 际 数
本年本季本期累计
11.机械设备购修费12
12. 生产房屋建设13
13.职工宿舍建设14
二、经费支出(养路事业费)15
1. 行政管理费16
2. 路政经费17
3.征稽经费18
4.19
三、借款 工程 支出20
21
四、其他22
支出 合计23
"} {"image_path": "images/032b844919f2170199c69248d6ce4a86.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ComplexOxidationReduction
$E_{ox1}$$E_{ox2}$$E_{red1}$$E_{red2}$$E_{red3}$$E_{red4}$
Phz-Ru-Pt20.440.87-1.18-1.34-1.80-1.99
Ru-Pt20.88-1.19-1.34-1.79-2.0
Ru-Pt30.90-1.19-1.35-1.87-2.0
"} {"image_path": "images/7f2877d47514f9d57a1adfa216586fd4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Initial concentration (ppm)$\\mathrm{Cu}^{2+}$ ion$\\mathrm{Zn}^{2+}$ ion$\\mathrm{Co}^{2+}$ ion
Adsorbed (ppm)% AdsorptionAdsorbed (ppm) % AdsorptionAdsorbed (ppm)% Adsorption
at pH 3.0
16.879.5256.4510.0859.765.5232.72
29.4813.8947.1317.3458.828.5028.82
47.1521.3145.1926.4656.1112.7927.12
60.5322.8137.6927.0844.7412.1120.00
at pH 5.0
14.8310.5070.8011.1275.007.7652.35
30.7818.5160.1522.8174.1014.9848.68
48.5728.2658.1835.7673.6218.2437.56
62.2329.3247.1237.7060.5718.8130.22
at pH 7.0
15.1714.5095.6015.1210011.1173.24
29.0524.6084.7028.6398.5618.9365.18
45.0137.4183.1241.8893.0524.6354.73
57.2235.8462.6344.5977.9224.5242.86
at pH 9.0
15.0114.9399.4814.9510013.2388.13
33.0829.2888.5232.9999.7227.8784.26
48.9843.2688.3347.4896.9341.0383.78
61.7445.4773.6550.7082.1241.3867.03
"} {"image_path": "images/0adfc9cfe5625bfe299e45b9faf3564e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableWorkers with a healthinsurance offerWorkers without a healthinsurance offer
MeanLinearized stan-dard errorMeanLinearized standarderror
Establishment size $\\leq 10$.111.003.389.009
Establishment size 11 to 25.134.003.233.008
Establishment size 26 to 50.135.003.136.006
Establishment size $>50$.619.005.242.008
Firm has more than one location.752.006.460.010
Union employee.171.005.029.003
Job tenure (years)8.470.1082.950.091
Hourly wage rate ($2007)19.020.16110.430.121
Age (years)39.980.11734.610.230
Education (years)13.450.03011.800.059
White.837.006.820.008
Black.112.006.124.008
Female.418.004.449.009
Married.603.006.444.011
Number of serious medical conditions.744.012.660.019
Household income ($1,000s)67.425.63443.743.729
Northeast.187.012.152.011
Midwest.251.016.193.013
South.350.020.392.020
West.212.021.263.018
Smoker.225.004.336 .009
Non-seatbelt use.116.005.161.009
County-level unemployment rate $(\\%)$4.860.0675.260.117
Agriculture.003.001.011.002
Mining.006.001.003.001
Construction.058.002.129.006
Manufacturing.240.006.103.005
Transportation and communications.103.003 .057.004
Sales.176.004.295.009
Finance and insurance.092.004.051.004
Repair services.051.003.081.005
Personal services.024.002.059.004
Entertainment and recreation.026.002.076.005
Professional services.127.004.117.006
Unknown industry.001.0003.0004.0002
"} {"image_path": "images/3a048a23fbd2cceae8f7bc72da7f6d5d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T (K)B $(cm^3·mol^{-1})$C $(cm^6·mol^{-2})$$\\rho$ (1) $(mol·dm{-3})$abs (dP) (kPa)bias (dP) (%)
283.55-292.8256901.690390.30.06
304.10-249.3238802.153360.10.01
304.10-248.1237301.961440.10.02
324.86-210.4206301.838280.50.12
324.86-209.6204601.580350.2-0.03
345.58-177.9177301.583990.10.00
345.58-177.8182201.507150.00.01
"} {"image_path": "images/36e17cdebc1a8969b0425e4777f2d87b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SU-8-basedSilicon-based
SSSDSSSSSDSS
SU-8$1700 \\mathrm{~nm}$$1700 \\mathrm{~nm}$$\\mathrm{Si}_x\\mathrm{~Ni}_y$50 nm50 nm
Au60 nm60 nmSi150 nm150 nm
SU-84500 nm$1700 \\mathrm{~nm}$$\\mathrm{Si}_x\\mathrm{~Ni}_y$210nm50 nm
$\\varepsilon / \\sigma_{\\mathrm{s}}\\left(10^{-5}\\right)$$4.7~\\mathrm{m}~\\mathrm{N}^{-1}$$ 7.0\\,\\mathrm{m}\\,\\mathrm{N}^{-1} $$\\varepsilon / \\sigma_{\\mathrm{s}}\\left(10^{-5}\\right)$$ 2.2 ~m~N^{-1} $$3.3 \\mathrm{~m} ~\\mathrm{~N}^{-1}$
"} {"image_path": "images/e33bf4660656037fe088f2e9653ab7e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MethodConfiguration ofANN% ClassificationTotal testpatterns=83IterationsMSEComputationaleffort for weightupdation (reverseoperation
EKFBPAEKFBPAEKFBPAEKFBPA
WithoutTransforminginput Patterns6-6-189.16 (74)96.36 (80)6191.12770.1463563430625280
With transformedinput patterns2-6-195.18 (79)96.36 (80)890.46660.273290420107800
"} {"image_path": "images/0bc12a17fdc790465ccd431b19250421.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
设备操作温度( 南京 )操作温度( 独山子 )操作温度( 吉林 )
零效蒸发器198
一效蒸发器175182188
二效蒸发器162164178
三效蒸发器150150168
四效蒸发器135130155
五效蒸发器11893139
六效蒸发器86
"} {"image_path": "images/a947dff785ef0e746604970376cf5c7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$D_{d}~(mm)$(1)$T_{d}~(mm)$(2)y (mm)(3)$d_{s}/D$(4)$d_{s}/D_{e}$(5)V (m/s)(6)$S~(×10^{-4})$(7)
180303502.522.300.653.26
180633502.592.160.653.26
180953502.722.100.653.26
1801953502.881.790.653.26
180302502.672.360.624.57
180632502.742.150.624.57
180952502.842.010.624.57
1801952503.001.620.624.57
180301502.712.220.587.62
180631502.761.890.587.62
180951502.751.620.587.62
180301002.451.840.5411.42
180631002.721.610.5411.42
180951002.591.270.5411.42
120953502.642.290.653.26
120952502.672.200.624.57
120951502.591.920.587.62
400953503.101.690.653.26
400952503.401.570.624.57
400951502.981.010.587.62
4001953003.311.110.643.81
4001952003.570.890.605.71
4001951002.710.390.5411.42
"} {"image_path": "images/6ed25b95ac4980810fc5e5b007b4cb72.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
诗体篇数时期五古七古五绝七绝五律七律五排七排合计
入蜀以前125491215424351391
成都至云安5143156222154252473
夔州以后8749154325573675594
总 计2631413110763015112781458
"} {"image_path": "images/56db986244f1cae9bdf046ea773c536c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
구 분기 초분 할취 득처 분기타증감기 말
<당기>
영업권1,033----1,033
탐사평가무형자산295,754---(51)295,703
산업재산권5,985-502--6,487
광업권2,071,428-280,046--2,351,474
개발비6,711----6,711
회원권15,045-715--15,760
소프트웨어35,411-2,297-1,60539,313
합 계2,431,367-283,560-1,5542,716,481
<전기>
영업권1,033----1,033
탐사평가무형자산299,003---(3,249)295,754
산업재산권5,642(30)373--5,985
광업권1,936,083-135,345--2,071,428
개발비6,711----6,711
회원권18,430(1,566)3(1,519)(303)15,045
소프트웨어45,752(12,129)1,788--35,411
함 계2,312,654(13,725)137,509(1,519)(3,552)2,431,367
"} {"image_path": "images/65337ea143efd36223b5a659e129f3e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
運動種類學制運動社團數運動社團總人數
男生女生總計
桌球國小68110,9016,09416,995
國中2945,5172,5198,036
高中職2485,5462,0967,642
大專院校821,5349212,455
全國1,30523,49811,63035,128
"} {"image_path": "images/9d5c6d8d2026eee2579cb81da7526a75.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LeftparavaginaldefectRightparavaginaldefect
Sensitivity (%)9094
Specificity (%)5054
Positive predictive value (%)5765
Negative predictive value (%)8891
"} {"image_path": "images/c5d80c7a6c2ba1b0c28d3f4cb5402496.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Me thody$_3$(0)y$_5$(0) $y_{1}(3.5)$ $y_{3}(3.5)$ $ y_{5}(3.5) $
[23]-0.978197070.64678660-1.53089401.1744953-0.31437074
SYSSOL
k=0 -0.977933850.64706375-1.53000111.1731673-0.31483749
k=1-0.97819829 0.64678677-1.53089601.1745015-0.31437128
k=2-0.978197580.64678682-1.53089411.1744980-0.31437042
k=3-0.978197579990.64678682479-1.53089406851.1744981003-0.31437042497
k=4-0.978197579970.64678682478-1.53089406841.1744981012-0.31437042438
"} {"image_path": "images/9b8f7d581f2069542537a98f09e34d38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Releasing agent/Inhibitor tested$C44680-Ba^a$$Cpd48/80^b$
Diethylcarbamazine hydrochloride$\\phi \\ 100$$(23.600)^e$$\\phi \\ 100$(23.600)
Diethylcarbamazine citrate3(1.200)3(1.200)
Sodium citrate15(2.800)10(1.900)
Polyphloretin phosphate (PPP)$0.02^d$(10)0.02(10)
Disodium cromoglycate30(15.000)10(5.000)
Flufenamic acid0.2(56)0.1(28)
Phenylbutazone2(620)2(620)
Sodium salicylate20(3.200)60(9.600)
Norepinephrine0.3(51)-
Isoproterenol1(210)-
Theophylline3(520)10(1.740)
Nicotinamide20(2.400)-
$\\text{Nikethamide (Coramin}^{\\circledR}\\text{)}$3(520)10(1.740)
$\\text{Tribenoside (Glyvenol}^{\\circledR}\\text{)}$0.02(10)0.02(10)
"} {"image_path": "images/ef416c284ef1af37ca1fcad82be1000d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GuestHost$k_{\\mathrm{a}}/\\mathrm{M}^{-1}\\mathrm{~s}^{-1}$$ k_{\\mathrm{d}}/s^{-1} $$\\Delta G_{\\mathrm{a}}{^\\ddagger} / \\mathrm{kJ} \\mathrm~{mol}^{-1}$$\\Delta G_{\\mathrm{d}}{ }^{\\ddagger} / \\mathrm{kJ} \\mathrm~{mol}^{-1}$$(t_{1 / 2})_{\\infty}{}^{a}$
$CHCl_{3}$17601.27 $\\left({ }^{b}\\right)$55.671.20.55 s
2$ 1.16\\times 10^{-1} $$ 4.88\\times 10^{-4} $77.090.424 min
$Me_{3}NH^{+}$176.6$4.81 \\times 10^{-2}$61.979.214 s
2$ 2.32\\times 10^{-3} $$ 1.99\\times 10^{-6} $86.6103.897 h
$Me_{4}N^{+}$17.2$ 1.49\\times 10^{-5} $67.898.713 h
2$ 2.88 \\times 10^{-3} $$1.0\\times 10^{-8}$85.4116.3792 days
"} {"image_path": "images/59ffb8f12ba383999a76e7a6f3bac176.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编号凭证标本号来源编号凭证标本号来源编号凭证标本号来源
1Aa2004001广西靖西县25Aa2004028湖南吉首市49Aa2005022广西大新县
2Aa2004002广西靖西县26Aa2004029湖南吉首市50Aa2005023广西河池市
3Aa2004003广西靖西县27Aa2004030湖南吉首市51Aa2005024广西宜州市
4Aa2004004广西靖西县28Aa2005001广西北海市52Aa2005025广西大化县
5Aa2004005广西靖西县29Aa2005002广西资源县53 Aa2005026广西都安县
6Aa2004006广西崇左市30Aa2005003广西灌阳县54Aa2005027广西天峨县
7Aa2004007广西都安县31Aa2005004广西龙胜县55Aa2005028广西富川县
8Aa2004008广西玉林市32 Aa2005005广西全州县56Aa2005029广西钟山县
9Aa2004009广西临桂县33Aa2005006广西兴安县57Aa2005030广西贺州市
10Aa2004011重庆酉阳县34Aa2005007广西平乐县58Aa2005031广西苍梧县
11Aa2004012广西田林县35Aa2005008广西阳朔县59Aa2005032广西岑溪市
"} {"image_path": "images/0b81df259f3af4c59490eafc08932c86.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathbf{H}_2\\mathbf{SO}_4$,wt %$X_{\\mathbf{H}_2\\mathbf{SO}_4}$ OrificeDiameter x$10^{-4}$, cm$P_{\\mathbf{H}_{2}\\mathbf{O}}$,torr$P_{\\mathrm{He}}$,torr$\\gamma_{\\mathrm{obs}}\\pm1\\sigma$$\\gamma^{*}$
00629.290.290.090 ± 0.0030.144 ± 0.022
200.044638.640.570.095 ± 0.0050.146 ± 0.022
350.091906.880.800.093 ± 0.0050.163 ± 0.034
400.11735.950.580.107 ± 0.0040.151 ± 0.018
470.14904.810.770.083 ± 0.0080.104 ± 0.012
520.17923.991.140.067 ± 0.0040.079 ± 0.006
580.20871.842.260.004 ± 0.0060.004 ± 0.006
730.3367$0.3\\dagger$3.780 ± 0.0020 ± 0.004
"} {"image_path": "images/20a39b9169933579fe7e48553d65a7ce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Vinyl pyridine inoutsidesolution(vol %)Swelling(%) Methanol insorbedsolution(wt %)$\\begin{array}{c}p_p\\\\(\\mathbf{g}/\\mathbf{L})\\end{array}$$\\begin{array}{c}[\\mathrm{M}]^\\mathrm{a}\\\\(\\mathrm{mol/L})\\end{array}$$\\begin{array}{c}[\\mathrm{M}]_m^\\mathrm{b}\\\\(\\mathrm{mol/L})\\end{array}$$\\begin{array}{c}[\\mathbf{M}]_t^\\mathrm{c}\\\\(\\mathrm{mol/L})\\end{array}$
107.033.33877.400.3860.6331.019
2011.242.86844.280.4951.2181.713
3014.645.00808.450.6521.7492.401
4017.345.45797.150.7011.9162.617
5018.948.00780.230.7432.2502.968
"} {"image_path": "images/8f316a50e8692358c675f578b9621fa8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Problem NumberNumber ofVariablesOriginal AlgorithmExpensiveObjectiveExpensiveConstraintsExpensiveNonlinear orNonquadraticFunctionsExpensiveNonpolynomialFunctions
Ex.Inx.Ex.Inx.Ex.Inx.Ex.Inx.Ex.Inx.
72333324139291093327024225
11234332113833129see b see b
1521131133798573723798see b
19249492911735110see bsee b
26315815835415326950130405see d
6432622621878642069631061748see d
"} {"image_path": "images/c7a2af97e7d4d2457e9705b5c10b3bf1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
StationLatitudeLongitudeAltitude (m)
Atikokan48.4591.37395
Big Trout Lake53.5089.52220
Dryden Airport49.5092.45413
Kapuskasing49.2582.28227
Kenora49.4794.22407
Kingston44.1376.3693
London43.0281.09278
Moosonee51.1680.3910
North Bay46.2179.26358
Ottowa45.1975.40116
Red Lake51.0493.48375
Simcoe46.2984.30187
Sault Ste. Marie42.5180.16241
Sioux Lookout50.0791.54398
Sudbury46.3780.48348
Thunder Bay48.2289.19199
Timmins48.3481.22295
Toronto Pearson43.4079.38173
Trenton44.0777.3285
Wiarton44.4581.06222
Windsor42.1682.58190
"} {"image_path": "images/4a8e492228f86c0e7da1f937fdd20201.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ResponseAge/gender groupsS.D.
Middle aged malesMiddle aged femalesOlder malesOlder females
Data from 1968 to 1998
Difference of logistic transforms
Teens0.0850.222-0.2040.0020.191
Middle aged males0.1650.1850.1180.575
Middle aged females-0.015-0.2090.178
Older males0.4970.154
Older females0.142
Residuals from common AR(1) model
Teens-0.0720.051-0.2390.0030.174
Middle aged males0.1600.2630.2930.576
Middle aged females-0.127-0.2740.201
Older males0.6180.170
Older females0.166
Data from 1991 to 1998
Difference of logistic transforms
Teens-0.2230.0820.0960.6300.177
Middle aged males0.2490.099-0.7410.518
Middle aged females0.739-0.0060.153
Older males0.1420.115
Older females0.157
Residuals from common AR(1) model
Teens-0.415-0.025-0.1550.8050.163
Middle aged males0.5100.455-0.5970.525
Middle aged females0.661-0.2020.141
Older males-0.0330.122
Older females0.151
"} {"image_path": "images/d18bf5cfaf1e550fcc699ffce9972e7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
mM— 5/2— 3/2— 1/21/23/25/2
3/23199·93261·73325·03389·63454·93521·9
— 3/23179·23244·73311·63379·63450·63521·9
1/23144·83207·43272·33337·93405·03473·4
5/23109·83171·63233·63297·53360·83424·8
— 1/23089·33154·03219·73286·63355·43424·8
"} {"image_path": "images/50b107a10bfe0c22de39f3731ad643c1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目市、县(市区)是否成立机构名称成立时间挂靠单位人员人数 具体负责人所在单位
衢州市衢州市心理健康指导中心2004衢 州 市 教 育学会20王菊红衢州市教育局教研室
柯城区柯城区心理健康指导中心2005衢州市心理健康指导中心20阮建中柯城区教育局教研室
衢江区衢江区心理健康指导中心2006衢州市心理健康指导中心20陈萍衢江区教育局教研室
江山市江山市心理健康指导中心2005衢州市心理健康指导中心20管美娟江山市教育局教研室
龙游县龙游县心理健康指导中心2005衢州市心理健康指导中心20廖土军龙游县教育局教研室
开化县开化县心理健康指导中心2007衢州市心理健康指导中心20陈强富开化县教育局教研室
"} {"image_path": "images/e23c3560d3b9b20aeaf7e8e164648af4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GenotypeScrapieControl
ARR/ARR011
ARR/ARQ076
ARQ/AHQ04
ARR/VRQ01
ARQ/ARQ65185
ARQ/VRQ309
VRQ/VRQ10
Total96286
"} {"image_path": "images/601a338d5ea3e7819c31264040cc2715.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MRMMBHP
201420152016201420152016
available days beforefiltering323352348323285323
total available 30-mininterval after despikingand u# filtering701679873883613471427439
data remaining after removing:
highway within thefootprint4507504930226134 71427439
highway + 75% footprintflux350139742125603470337297
percentage of year of data remaining after removing:
highway within thefootprint25.7%28.8%17.2%35.0%40.8%42.3%
highway + 75% footprintflux20.0% 22.7%12.1%34.4%40.1%41.5%
"} {"image_path": "images/ff5f6f75cbb2398061f0423465fa5063.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 1. Components used ineconomic model
$\\alpha$Component
1Oil
2Coal
3Natural gas
4Gasoline
5Diesel
6LPG
7Pitch
8Ammonia
9Sulphur
10Filter cake
11Gasifier slag
12Power station ash
13Electricity
14Hydrocracker catalyst
"} {"image_path": "images/0b52b2603ff321117ac6a5e7374e5733.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaterialParameterTemperatures
293 K223 K153 K133 K110 K
AISI 316Ln5.593.892.051.921.68
AISI 3213.623.641.741.691.43
AISI 3472.262.241.761.631.49
"} {"image_path": "images/97d99d02a2366c7c7a4a5da40421212c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ {P_{lab}}$(GeV/c)$ \\frac{\\pi^{+} p \\rightarrow \\pi^{+} p}{\\pi^{-} p \\rightarrow \\pi^{-} p} $$\\frac{\\pi^{+} p \\rightarrow \\pi^{+} p}{\\pi^{-} p \\rightarrow \\pi^{0} n}$$ \\frac{\\pi^{+} p \\rightarrow \\pi^{+} p}{K^{+} p \\rightarrow K^{+} p} $$\\frac{\\pi^{+} p \\rightarrow \\pi^{+} p}{K_{L} p \\rightarrow K_{S} p}$$\\frac{K^{+} p \\rightarrow K^{+} p}{K^{-} p \\rightarrow K^{-} p} $$ \\frac{K^{-} p \\rightarrow K^{-} p}{\\bar{p} p \\rightarrow K^{-} K^{+}} $$\\frac{\\pi^{+} p \\rightarrow \\pi^{+} p}{\\bar{p} p \\rightarrow \\pi^{-} \\pi^{+}}$
$\\text{ Experiment(Ref.} 5)$
50.5-20.7-40.5-2$3-\\gtrsim 10$3-15 3-103-15
100.5-3X1-4XX XX
$\\text{ Theory}\\left(a^{\\prime} \\cong 2 a \\sqrt{5}\\right)$
51.60.631.367.8166.1753.5
101.90.671.319.8165.82 54.5
152.10.71.2911.5165.6255.1
$\\infty$161.281$\\infty$16464
$a=0$ values10.51.5634 16850
"} {"image_path": "images/2072e35a77f3c8e95783129e0f47550e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CategoryCristobaliteAluminaSum
Total472067
Intact372057
DamagetypeSub Total10-10
Porcelain Defect4-4
Cap Defect3-3
Internal defect3-3
"} {"image_path": "images/da3f2d67a6616e81ac8719246b4fa493.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GroupHighsLows
VariableSupportEyesMeanSEMeanSE
Velocity (mm/s)FirmOE7.730.767.820.70
CE12.171.1910.261.09
FormOE16.551.1614.161.06
CE28.972.0622.841.88
Area $(\\mathrm{mm}^2)$FirmOE300.7748.75248.8144.50
CE473.7767.70251.2861.80
FormOE1096.23141.26557.39128.95
CE1749.57199.52712.94182.14
LFS (1/mm)FirmOE0.840.070.890.06
CE0.970.091.030.09
FormOE0.870.101.070.09
CE1.060.131.620.12
"} {"image_path": "images/c3f8a68bebbe24092075780da37860bc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
显示模式 时钟/MHz行时序参数(单位 : 像素)列时序参数(单位 : 行)
abCdefghik
640x480@60Hz27.17596486401680023348010525
800x600@60Hz40128888004010564236001623
1024x768@60Hz6513616010242413446297683806
1280x720@60Hz74.2540220128011016505207205750
1280x1024@60Hz1081122481280481688338102411066
1920x1080@60Hz148.5441481920882200536108041125
"} {"image_path": "images/7c4013d70d2f67a5893108b3b7f4109d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\Delta C_2$ $C_2$(120 K) $C_2$(300 K)$\\Delta C_3$ $C_3$(120 K) $C_3$(300 K)
4-ML Cu films
Classical MC
Cu1-Cu15.643.479.112.12 0.342.46
Cu2-Cu25.433.238.661.990.172.16
Cu3-Cu35.002.947.940.880.221.10
Cu1-Cu25.943.679.612.15 0.472.62
Cu2-Cu35.333.138.461.710.171.88
Experimental
90°4.4(4)3.1(6)
30°5.0(5)3.8(8)
fcc Cu bulk (Ref. 29)
Classical5.143.218.351.480.261.74
Quantum4.614.198.801.480.261.74
Experimental4.034.008.031.4
"} {"image_path": "images/5b1822d85557a9b50632865b5b304853.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
R = 3 cm R = 4 cm
f = 1/T (Hz)1.1711.3001.4251.6151.0091.1231.3991.532
$\\lambda$ (m)1.140.920.770.601.511.230.800.67
max (A/R)1.1450.9310.7760.6031.1450.9310.6030.503
kR0.1660.2040.2450.3150.1660.2040.3150.378
"} {"image_path": "images/c218a56898ac7a8851c4dff99007c009.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ijHex. fastHex. slowOrthorhombicTriclinicPetrological
11241.3241.3222.9260.9237.1
22197.6197.6196.4228.7208.8
33197.6241.3185.1207.8192.1
4460.560.560.772.263.3
5573.973.964.975.668.5
6673.960.565.183.572.6
1271.798.563.568.473.5
1371.793.662.865.269.9
140.00.00.02.0-0.2
150.00.00.0-0.4-0.6
160.00.00.0-1.3-0.3
2376.698.565.172.072.3
240.00.00.00.9-0.2
250.00.00.01.10.3
260.00.00.0-0.7-0.3
340.00.00.0-1.10.0
350.00.00.0-0.3-0.1
360.00.00.0-1.00.2
450.00.00.0-1.50.4
460.00.00.00.10.0
560.00.00.01.3-0.4
"} {"image_path": "images/ba1419ea7f50a0a8eb64bcc38dc2e4f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Parameters(a)Value$ \\begin{array}{ll}\\text { Confidence } \\\\ \\text { interval } \\\\ \\text { [42] }\\end{array} $$ \\begin{array}{ll}\\text { Confidence } \\\\ \\text { interval } \\\\ \\text { [43] }\\end{array} $(b)Value$ \\begin{array}{ll}\\text { Confidence } \\\\ \\text { interval } \\\\ \\text { [42] }\\end{array} $
$A_{0}$0.11921-0.22850-
$A_{max.}$0.299080.29890-0.299260.29889-0.299270.299020.29837-0.29968
$V_{max.}$0.213500.2096-0.21760.2103-0.21710.195300.1924-0.2056
$K_{m}$0.820000.73-0.930.74-0.910.630000.55-0.97
$K_{is}$98.1000089.3-107.290.3-105.8--
Least-squaresnorm$ 8.1\\times 10^{-8} $--$ 8.7 \\times 10^{-8} $-
"} {"image_path": "images/f35812ea5f81a7e3e021107d8e6f70e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
m =0123456
Odd ligands:
n = 2004
4$-\\frac{14}{9}$0$\\frac{80}{9}$0$\\frac{70}{9}$
6$\\frac{8}{9}$0$-\\frac{35}{3}$0$\\frac{56}{3}$0$ \\frac{77}{9} $
Evelin ligands:
n = 200-4
4$-\\frac{14}{9}$0$-\\frac{80}{9}$0 0$\\frac{70}{9}$
6$\\frac{8}{9}$0$\\frac{35}{3}$0$\\frac{56}{3}$0$-\\frac{77}{9}$
$\\text{Fitted parameters (cm}^{-1}\\text{) for Er}^{3+}\\text{: YAG (Newman and Edgar 1976)}$
n = 2-1330268
4-25602680949
634·30-8906720-88
"} {"image_path": "images/c84c373a9fe66be976341050fcb4d66a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
materialbulk densitydifference/\\%
$\\rho_1/(\\text{g l}^{-1})$(dense)$\\rho_2/(\\text{g l}^{-1})$(loose)
glass 0$1784 \\pm 15$16329
glass 1$1619 \\pm 10$15744
Vestolen$552\\pm 10$5404
quartz 0$1562 \\pm20$142610
quartz 1$1572 \\pm 15$141810
marmor 0$1447 \\pm 40$13428
marmor 1$1495 \\pm 35$133412
"} {"image_path": "images/17dff2ad301062ee42e3bfbb9804e351.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Scale nameAttitudes towards scienceAcademic efficacyAcademic achievement
rβrβrβ
Student Cohesiveness$0.24^{**}$0.00$0.32^{* *}$0.020.20**0.10
Teacher Support$0.26^{**}$0.05$0.40^{* *}$0.06$0.14^{* *}$0.00
Involvement$0.20^{**}$0.070.42**$0.14^{* *}$$0.11^{* *}$-0.04
Task Orientation$0.42^{**}$0.30***0.44**0.20***$0.23^{* *}$0.12*
Investigation0.31**0.10*0.44**0.11*$0.20^{* *}$0.10*
Cooperation$0.23^{**}$-0.10$0.40^{* *}$-0.030.11**-0.11*
Equity0.34**$0.15^{**}$0.35**-0.01$0.20^{* *}$0.10
Differentiation0.09*-0.11**$0.36^{* *}$0.14***-0.01-0.15***
Technology Teaching0.40**0.20***0.43**$0.21 * * *$$0.30^{* *}$0.20***
Multiple correlation(R)0.50***0.60***0.34***
$R^2$0.230.330.12
"} {"image_path": "images/1f36bbe5568c054d544fbf1cee438523.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T (K)f$N_T\\left(\\mathrm{~cm}^{-2}\\right)$N (corresponding tobulk doping)
0-500.1$4.66 \\times 10^{13}$$2.8 \\times 10^{20}$
50-1500.1-0.05$4.66 \\times 10^{13} - 1.2 \\times 10^{13}$$2.8 \\times 10^{20} - 4.14 \\times 10^{19}$
150-3000.05-0.01$1.2 \\times 10^{13} - 4.7 \\times 10^{11}$$4.14 \\times 10^{19} - 3.18 \\times 10^{17}$
$\\text {(b) Silicon biocrystal } \\phi_B = 0.3 \\mathrm{eV}, V_e = 1 \\mathrm{~V}$
T (K)f$N_T\\left(\\mathrm{~cm}^{-2}\\right)$$N\\left(\\mathrm{~cm}^{-3}\\right)$
0-500.1$9.49 \\times 10^{12}$$2.9 \\times 10^{19}$
50-1500.1-0.05$9.49 \\times 10^{12} - 2.4 \\times 10^{12}$$2.9 \\times 10^{19} - 3.67 \\times 10^{18}$
150-3000.05-0.01$2.4 \\times 10^{12} - 0.95 \\times 10^{11}$$3.67 \\times 10^{18} - 2.92 \\times 10^{16}$
"} {"image_path": "images/16ff5da91b4ecd7b7de6931697514c6c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SamplePPO (g)EPPO (g)EPN (g)DDS (g)
EPN001.000.36
EPN/PPO-0.10.1000.900.32
EPN/PPO-0.30.3000.700.25
EPN/PPO-0.50.5000.500.18
EPN/EPPO-0.100.100.900.33
EPN/EPPO-0.300.300.700.26
EPN/EPPO-0.500.500.500.19
"} {"image_path": "images/05c0d536e13e07fad3b6d83152f9196b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Bearings no.1#2#3#
TypeAngular contact bearing $\\left(15^{\\circ}\\right)$Angular contact bearing $\\left(15^{\\circ}\\right)$Deep groove ball bearing
ModelS71922CD/HCPA9AS71922CD/HCPA9ASKF 6015-2R51
Inner ring diameter (mm)11011075
Outer ring diameter (mm)150150115
Width (mm)202020
Axial force (Fa) (N)1034.2-1034.20
Radial force (Fr) (N)416.6-744.4-0.4
Basic static loading rating (N)72,00033,50072,000
"} {"image_path": "images/814a87866768203e436c68f413d18c8d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SampleWidth(mm)Thickness(mm)Modulus(GPa)Strength(MPa)Back-calculated fiber modulus(GPa)
3D$\\begin{array}{c}\\eta_{0}=0.2\\end{array}$2D$\\begin{array}{c}\\eta_{0}=0.375\\end{array}$
14.860.263.8511269.336.9
24.920.284.0512385.745.7
35.000.303.6511652.928.2
45.140.323.9011873.439.1
55.220.323.5511044.723.8
Average3.8011665.234.7
"} {"image_path": "images/d719624d12ced6c6f920d5e06171bc89.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Plant materialαS.E. (α)βS.E. (β)k$log_ek$S.E. $(log_ek)$
MT.120.97870.05270.99290.05230.7346-0.30840.1361
SFS.2041.01410.12731.00210.12260.6131--0.48930.3178
MFS.3710.92420.06461.05680.06210.7099-0.34260.1567
MFS.761.22100.10430.78720.08730.5378-0.62030.2614
Seedling jat1.17460.11520.76950.09890.6358-0.45290.2617
"} {"image_path": "images/32dfa153edf6a521960feec83402db83.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
WaterMassDepth, mSalinity, %oPot.Temperature,℃$\\mathrm{DOC}\\pm\\mathrm{SD}\\:(n),$$\\mu$M
PW0-200<34.70<0.075.8± 10.2 (160)
AW50-600>34.90>3.058.2± 4.9 (54)
RAW50-500>34.90>0.058.4 ±5.1 (44)
Intermediatewater300-1500<34.92>-0.553.3 ±3.6 (66)
Unspecifieddeep water1500-2000>34.70<0.051.6 ± 3.6 (20)
CBDW1500-1800>34.92-0.8 to-0.547.2 (1)
EBDW1800-2500>34.92<-0.849.8 ± 2.0 (20)
GSDW>250034.88-34.90<-1.049.5 ± 2.0 (22)
NSDW>2000<34.92<-0.547.5 ± 1.8 (4)
"} {"image_path": "images/779bec58cf8049b58931825d08b25cec.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaterialMolecularWeightDiffusivity inVitreous, AqueousDiffusivity inCornea, ScleraDiffusivity in Retina,Choroid, Iris, Ciliary Body
Fluorescein332$8.5\\times10^{-6}$$6.375\\times10^{-7}$$6.375\\times10^{-8}$
Sucrose342$7\\times10^{-6}$$5.25\\times10^{-7}$$5.25\\times10^{-8}$
Bovine Albumin68,000$1.04\\times10^{-6}$$7.8\\times10^{-8}$$7.8\\times10^{-9}$
Dextran D1010,500$1.62\\times10^{-6}$$1.215\\times10^{-7}$$1.215\\times10^{-8}$
Dextran D6767,000$6.06\\times10^{-7}$$4.545\\times10^{-8}$$4.545\\times10^{-9}$
Dextran D157157,000$3.86\\times10^{-7}$$2.895\\times10^{-8}$$2.895\\times10^{-9}$
"} {"image_path": "images/f59b7b647d1a0ce1f19b9155d301d29b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OCconcentrationOC stock
DF$^a$FPFP
Afforestation1742<0.0001541<0.0001
Soil depth4709<0.0001101<0.0001
Afforestation x Soil depth4237<0.000175<0.0001
Stand age469<0.000118<0.0001
Afforestation x Stand age458<0.00016<0.0001
Soil depth x Stand age1623<0.00018<0.0001
Afforestation x Soil depth x Standage1627<0.00016<0.0001
"} {"image_path": "images/5af08df37044fa75b817776c86d6c28a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
designation
HarshawNi 5132 PUnitedCatalystG 49 B
% nickel64$55\\pm3$
% reduction50
supportmixture of silicaand aluminakieselguhr
particle size distribution
less than $2 \\mu \\mathrm{m}$2%
less than $20 \\mu \\mathrm{m}$90%98%
$20-45\\mu m$8%
greater than $45 \\mu \\mathrm{m}$2%
average size, $\\mu \\mathrm{m}$4-5
apparent bulk density, $\\mathrm{lb} / \\mathrm{ft}^{3}$$28\\pm 3$
loose22
packed27
surface area, $\\mathrm{m}^{2} / \\mathrm{g}$190100-200
pore volume, $\\mathrm{cm}^{2} / \\mathrm{g}$0.320.9-1.5
helium density, $\\mathrm{g} / \\mathrm{cm}^{3}$4.4
mercury density, $\\mathrm{g} / \\mathrm{cm}^{3}$1.8
"} {"image_path": "images/a379785509b445b9f21fc036b96a7982.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
公称传动 比$i$$ \\begin{gathered} \\text { 输入转速 } \\\\ n_{1} / \\\\ (\\mathrm{r} / \\mathrm{min}) \\end{gathered} $中 心 距 a/mm
3240506380100125160180200225250
$ v_{\\mathrm{s}} /(\\mathrm{m} / \\mathrm{s}) $
7.51 500-1.82.32.93.13.94.76.26.37.77.99.7
1 000-1.21.51.92.12.63.24.14.25.25.36.5
750-0.91.21.51.61.92.43.13.23.94.04.8
500-0.60.81.01.01.31.62.12.12.62.63.2
101 5001.81.61.82.43.13.13.95.25.16.26.37.7
1 0001.21.11.21.62.12.12.63.53.44.14.25.2
7500.90.80.91.21.51.61.92.62.53.13.23.9
5000.60.50.60.81.01.01.31.71.72.12.12.6
12.51 500--1.52.02.32.83.84.65.05.66.37.1
1 000--1.01.31.51.92.63.13.33.74.24.7
750--0.81.01.21.41.92.32.52.83.23.5
500--0.50.70.80.91.31.51.71.92.12.4
151 500-1.82.22.82.93.64.45.84.67.35.59.1
1 000-1.51.51.81.92.43.93.93.14.83.76.0
750-0.91.11.41.51.82.22.92.33.62.84.5
500-0.60.70.91.01.21.51.91.52.41.83.0
201 500-1.51.82.33.02.93.65.04.65.85.77.2
1 000-1.01.21.52.01.92.43.33.13.93.84.8
750-0.80.91.11.51.51.82.52.32.92.93.6
500-0.50.60.81.01.01.21.71.51.91.92.4
251 5001.3-1.51.92.22.63.74.44.65.36.06.7
1 0000.9-1.01.31.51.82.42.93.13.54.04.5
7500.7-0.71.01.11.31.82.32.32.63.03.4
5000.5-0.50.60.70.91.21.51.51.82.02.2
"} {"image_path": "images/cad648bcc91762c2d1c86537cf23272b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Commodity $Marginal$$budget ~shares,$$a_{i}$ $Minimum$$subsistence$$quantities,$$\\gamma_{i}$$Autocorrelation$$parameter,$$\\rho$
Durables.16631.677.670
(.015)(33.817)(.137)
Semidurables.106129.059.670
(.007)(31.251)(.137)
Nondurables.251301.254.670
(.007)(58.571)(.137)
Services.47753.181.670
(.021)(171.463)(.137)
"} {"image_path": "images/c4c40af0e666ab69e2131197fee546b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Solvents$\\lambda_{\\max }^{\\mathrm{f}}\\left(\\Phi_{\\mathrm{f}}\\right)$ at $\\lambda_{\\mathrm{exc}}=330 \\mathrm{~nm}$$\\tau/\\chi^{2}$$k_r$$k_{nr}$
Ether392 (0.236)4.31 (1.0)5.4817.72
Dioxane395 (0.251)5.23 (1.09)4.8013.89
Ethyl acetate401.6 (0.233)4.76 (1.09)4.9016.1
Acetonitrile411 (0.259)5.52 (1.04)4.7013.41
Iso-propanol435.5 (0.36)10.52 (1.15)3.426.08
Methanol438.5 (0.037)1.38 (1.08)2.6869.78
pH 8.5458 (0.002)0.31 (1.12)0.64321.94
pH 5.3$450\\pm5(0.0006)$---
pH $1.0^{\\mathrm{a}}$314, 327.5 (0.0229), 343, 359, 3800.71 (0.90)3.23137.61
pH 12.0420 (0.0009)---
$H_{-}=16.0$ 417 (0.00093)---
$H_{0}=-3.5^{\\mathrm{a}}$ 329, 346 (0.00009)---
$H_{0}=-10.0^{\\mathrm{a}}$ 446 (0.0022)0.75 (0.90)0.29133.04
"} {"image_path": "images/57f26d4b1547001695ae060ee3d614c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AdsorbentElemental$composition^a$Surface$area^b$$\\left(\\mathrm{m}^{2} / \\mathrm{g}\\right)$Pore size $distribution(%)^c$
C%H%O%Micropore( < 2 nm)Mesopore(2–38 nm)Macropore( > 38 nm)
SWNT91.72.04.241717821
O-SWNT82.61.18.731059410
MWNT96.11.32.837286923
"} {"image_path": "images/79f1cd69d04903c1a0e324034a119c6b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目199019911992199319941995
劳动力总人数 (万 人)842. 3856. 9876. 5887. 4908. 1921. 0
526. 3535. 5546. 0549. 7559. 5565. 9
316. 0321. 4330. 4337. 7, 348. 5355. 1
就业人数 (万 人)828. 3843. 9863. 2874. 5893. 9904. 5
517. 5527. 4538. 0542. 2551. 1555. 8
310. 8316. 5325. 2332. 3342. 8348. 7
就业人数部门构成( % )100. 0100. 0100. 0100. 0100. 0100. 0
农、林、渔、猎业12. 812. 912. 311. 510. 910. 5
采矿业0. 20. 20. 20. 20. 20. 2
制造业32. 030. 930. 028. 427. 827. 1
电、煤气、水0. 40. 40. 40. 40. 40. 4
建筑业8. 28. 59. 010. 110. 811. 1
商业19. 720. 520. 520. 721. 021. 2
运输、仓储和通信业5. 55. 55. 25. 35. 35. 2
金融、保险、不动产和产业服务4. 34. 34. 93. 23. 23. 4
公共行政、社会和个人服务业16. 816. 817. 518. 020. 320. 9
失业人数 (万 人)14. 013. 013. 212. 814 .216. 5
失业率 ( % )1. 71. 51. 51. 51. 61. 8
"} {"image_path": "images/7d94565ee459680d9e3efc0b8705e9be.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
parameters
inhibitors$E_{HOMO}$ (eV)$E_{LUMO}$ (eV)$\\Delta$E (eV)$\\eta$ (eV)$\\sigma$ (eV)$\\chi$ (eV)IEEA$\\Delta N_{110}$IE (%)
CSB-1-5.462-2.1883.2741.6370.6113.8255.4622.1880.30488.63
CSB-2-4.835-1.7543.0811.5400.6493.2944.8351.7540.49589.87
CSB-3-4.452-1.7632.6891.3440.7443.1074.4521.7630.63791.47
"} {"image_path": "images/e68bb346a5df4d23a6dbdd31ae3d2f0a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目参 数
长x宽x高$3~395~mm\\times 1~475~mm\\times 1~610~mm $
车辆质量$ 1~100 \\mathrm{~kg} $
定员4 人
最高车速$130 \\mathrm{~km} / \\mathrm{h}$
10 · 15 工况下充电行驶距离(日本国土交通省审查值)160 km
充电时间普通充电(AC 200 V/15 A)约 7 h (充满电量)
普通充电(AC 100 V/l5 A)约 14 h (充满电量)
快速充电约 30 min (80% 充电)
电动机类型永磁式同步电动机
最大输出功率47 kW (64PS)/3 000 ~6 000 r/min
最大扭矩180 N · m (18.4 kgf · m)/0 ~ 2 000 r/min
最高转速8 500 r/min
"} {"image_path": "images/f233008f7c4dbfcd92331678d8ad51eb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sl. No.DCCADCCA/TMOSmolar ratio (x)pH Gel time at 25 ℃$T_{g}\\left(\\mathrm{h}\\right)$
1No DCCA0~6.50.75
2OXA0.2~6.0 0.90
0.4~4.079.0
3GLY0.2~6.50.80
0.4~6.50.85
0.8~6.01.00
4DMF0.2~7.00.60
0.4~6.51.00
0.7~6.05.00
5FA0.2~7.00.55
0.4~8.00.40
0.9~9.00.16
"} {"image_path": "images/96418bfd489bd68c6002bc9d9af42c6b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
fit of the 3-parameterWeibull distributionfit of the 2-parameterWeibull distributionmodel comparison$R^{2}$
Improvent$Improvment\\times 2$Significant
165.914180.67614.76229.524$\\ast$0.9386
171.233185.47614.242628.4852$\\ast$0.9445
164.249177.83313.58427.168$\\ast$0.9515
169.888183.40613.518727.0374$\\ast$0.9580
"} {"image_path": "images/52779c0dd1925d20cb6e00e004ccdfb2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Device TG-FinFET
L (nm)201614107
$T_{fin}$15121086.5
$H_{fin}$2826232118
$N_{fin}$11111
"} {"image_path": "images/b2735d33329573cc91b0240acea23fb8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T/K$n_{D}$Rm$10^{24} \\alpha _{p}$$\\gamma _{\\left ( est \\right ) }$
$\\left [ C_{3} mim \\right ]$ Tau
288.151.510261.2724.1450.6
293.151.508761.2724.1450.2
298.151.507361.3024.1549.8
303.151.505661.2824.1449.4
308.151.504161.2924.1449.0
313.151.502461.2724.1348.6
318.151.500761.2524.1348.1
323.151.499261.2524.1347.8
328.151.497561.2524.1347.3
$\\left [ C_{4} mim \\right ]$ Tau
288.151.507065.4025.9448.6
293.151.505665.4225.9448.2
298.151.504165.4325.9547.8
303.151.502465.4325.9547.3
308.151.500765.4325.9546.9
313.151.499165.4425.9546.5
318.151.497765.4825.9746.1
323.151.496065.4925.9745.7
328.151.494665.5225.9845.3
"} {"image_path": "images/fe46011eb56725ecda4299802070fc56.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
nominal concentrationsreal concentrations
cations [cat%]anions [an%]cations [cat%]anions [an%]
$Pb (PbCl_2)$$Sb (SbO_{3/2})$$Te (TeO_2)$ClPbSbTeCl
10.090.0-12.99.0±0.491.0±0.4713.0±0.7
10.010.080.010.39.7±0.210.2±0.680.1±0.810.0±0.3
20.080.0-25.018.2±0.881.8±0.8-22.1±0.4
20.020.060.021.121.8±0.618.9± 1.459.3± 1.922.5±3.1
20.010.070.020.518.6±0.59.8±0.371.6±0.618.4±0.8
20.0-80.020.018.9±0.4-81.1±0.420.3±0.6
30.070.0-36.428.1±0.371.9±0.3-42.6±2.3
30.020.050.031.632.1±0.817.4± 2.450.5±1.728.2±2.2
30.010.060.030.829.0±0.410.2±0.160.8 ±0.530.8±0.7
30.0-70.030.028.0±0.3-72.0±0.331.8±0.7
40.010.050.041.037.0±1.59.9± 1.153.1± 1.636.6±2.7
40.0-60.040.038.4±0.6-61.6±0.639.4±2.8
50.010.040.051.354.2±1.66.7±0.839.1±0.848.5± 1.3
"} {"image_path": "images/7f3caefbd1b8c51dec6599ee107c827c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Risk levelConflict Risk IndicesP1-PO=P/1-P
TTC (s)$DRAC (m/s^2)$
0≤00010
>4.00 to 1
12.5 to 4.01 to 20.20.80.25
21.5 to 2.52 to 40.30.70.43
31.0 to 1.54 to 60.60.41.5
4≤1.0≥60.80.24.0
"} {"image_path": "images/d5342d52bd20863e396671e491f3a199.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年度共计文科理科
教育
193736613820613324228461073441
193892132713791834207
19396520191945201384
1940863281077548251110
19415720311423781946
194222873153913615532103713
1943359181375384717828124917
194430534811105271271642357
19458-----85--3
"} {"image_path": "images/47001b8aa1bc9616818994fa401a92d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Weibull parameters$C_V$
k$\\lambda$
3.4130.570.32
2132.370.52
1.2124.710.84
1117.311
0.8103.541.26
0.677.971.76
0.558.652.23
0.435.33.14
"} {"image_path": "images/9059aed083f8da7c55f7a7bc2f22bc51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dwell time (ms)Sensitivity
OH-FLUDICFFA
$MP^a$MP +1 $Frag^b$MP + 2 Frag$MP^a$MP + 1 $Frag^2$MP + 2 FragMP + 2 FragMP + 1 $Frag^2$MP + 2 Frag
200994264834192491194153479653367065
5002589446268381738441081176440815220
100026573812545117718322459227217479046
"} {"image_path": "images/b1979a8df96d8b47bb0be4c154f18bf5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Number of bullsRange in numberof sons per bullBWMOS
123
1258 to 395NNNN
855 to 226BNNN
3199 to 341BBNN
561 to 141BBNB
2131 to 273TTBB
950 to 427BBBB
"} {"image_path": "images/6cdb46a1a52f4de1df9994d4334ce026.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\dot{\\gamma}\\ (\\text{s}^{-1})$$\\mu_{\\text{app}}\\ (\\text{mPa·s})$
$\\phi_s = 4\\%$$\\phi_s = 6\\%$$\\phi_s = 10\\%$$\\phi_s = 12\\%$$\\phi_s = 14\\%$$\\phi_s = 16\\%$$\\phi_s = 18\\%$$\\phi_s = 20\\%$
5004.55.99.612.315.920.726.934.9
6005.16.39.311.514.418.323.430.0
7005.66.69.110.913.316.520.826.4
8006.27.08.910.412.415.218.923.7
9006.77.38.810.011.714.117.321.5
10007.27.68.08.79.711.113.216.0
"} {"image_path": "images/25f10e4de3bfee922572e5f9102533e1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
物 质地 点污 染 源标 准注 释
国家省(州)或市原 单 位毫克/米$^3$
氯 化 氢西德(VDI 3451E)烧结粗磷酸盐0.35克/米$^3$350.050,53,81
氯 化 氢西德(VDI 3451E)燃烧有机氯副产品0.30克/米$^3$300.050,53,81
氯 化 氢西德(VDI 3451E)吸收来自收集的反应气体中的盐酸0.33克/米$^3$330.050,53,81
氢 氟 酸澳大利亚 新南威尔士铝 还 原0.04克/米$^3$40.03,16,27
氢 氟 酸澳大利亚 新南威尔士铝 还 原 0.02克/米$^3$20.03,16,28
氢 氟 酸澳大利亚 新南威尔士任意其他工艺过程0.1克/米$^3$100.03,16,27
氢 氟 酸澳大利亚 新南威尔士任意其他工艺过程0.05克/米$^3$50.03,16,28
氢 氟 酸澳大利亚 昆士兰任意商业、工业或工艺过程0.05格令/英尺$^3$114.43,16
氢 氟 酸澳大利亚 维多利亚过磷酸钙、三元过磷酸钙或铝制造厂0.05格令/英尺$^3$114.43,16
氢 氟 酸新 加 坡任意来源0.1克/米$^3$100.03,16
氟 化 氢大不列颠0.1格令/英尺$^{3}$100.07
氟 化 氢西 德焚烧炉、铁烧结工艺毫克/米$^3$5.060,62,81
氟 化 氢日 本铝还原工艺排气导管毫克/米$^3$3.0
氟 化 氢日 本铝还原工艺屋顶通风管毫克/米$^3$1.0
氟 化 氢日 本过磷酸钙制造厂毫克/米$^3$15.0
氟 化 氢日 本磷酸化肥制造厂、焙烤炉毫克/米$^3$30.0
氟 化 氢日 本三聚磷酸钠、磷酸与玻璃制造厂毫克/米$^3$1.038
氟 化 氢西 德陶瓷窑毫克/米$^3$30.060,66,81
氟 化 氢西 德铝还原工艺毫克/米$^3$2.060,81
氟 化 氢西 德铝还原闭式炉1公斤/吨铝60,81
氟 化 氢西 德铝还原敞式炉0.8公斤/吨铝60,81
硫 化 氢澳大利亚任意商业、工业或工艺过程毫克/米$^3$5.016,22,42
硫 化 氢澳大利亚 新南威尔士任意商业、工业或工艺过程5.0ppm7.5
硫 化 氢澳大利亚 昆士兰任意商业、工业或工艺过程 $5.0 ppm$ 7.5
硫 化 氢澳大利亚 维多利亚任意工厂 $5.0ppm$ 7.5
硫 化 氢加拿大 不列颠哥伦比亚牛皮纸纸浆厂回收烟囱 $5.0 ppm$ 7.530
硫 化 氢加拿大 不列颠哥伦比亚牛皮纸纸浆厂回收烟囱$20.0 \\mathrm{ppm}$30.031
硫 化 氢加拿大 不列颠哥伦比亚牛皮纸纸浆厂回收烟囱 $70.0 ppm$ 105.032
硫 化 氢捷 克0.08公斤/小时35
硫 化 氢大不列颠 $5.0 ppm$ 7.5
硫 化 氢新 加 坡任意来源5.0ppm7.5
硫 化 氢瑞 典牛皮纸纸浆厂回收炉毫克/米$^3$10.045
硫 化 氢美 国炼 油 厂毫克/米$^3$230.051,52
硫 化 氢西 德炼 油 厂1克/米$^3$1000.060,71,81
硫 化 氢西德(VDI 2110)焦炉废气1.5克/米$^3$1500.050.54
硫化氢和化 合 物西德焦 炉 气1.5克/米$^3$1500.060,72,81
澳大利亚任意商业、工业或工艺过程毫克/米$^3$10.04,5,6 16.22,23
澳大利亚 新南威尔士任意商业、工业或工艺过程0.02克/米$^3$20.04,5,6,16.25
澳大利亚 昆士兰任意商业、工业或工艺过程0.01格令/英尺$^3$22.84,5,6.16,25
澳大利亚 维多利亚任意工厂0.01格令/英尺$^3$22.84,5,6,16,23
捷 克四乙铅除外$ 0.007\\text {公斤/小时} $35
大不列颠废气达3000英尺$^3$/分者0.05格令/英尺$^3$114.44
大不列颠废气达3000~10000英尺$^3$/分者0.05格令/英尺$^3$114.44,8
"} {"image_path": "images/245395176bdec6a6f11484540e6badee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fat-vegetable oilNatural extracts
BackfatCanolaCanola-OliveNo extractsRice branWalnut
L*$72.93^{\\mathrm{a}}$$78.06^{\\mathrm{b}}$$78.18^{\\mathrm{b}}$$76.21^{a} $$76.12^{a} $$76.83^{b} $
a*$6.87^{a}$$5.33^{b} $$4.89^{c} $$6.16^{a} $$5.17^{b} $$5.76^{c}$
b*$12.71^{\\mathrm{a}}$$11.48^{\\mathrm{b}}$ $12.08^{c}$ $11.57^{a} $$12.89^{b}$ $11.81^{\\mathrm{a}}$
W$_{Loss} $$8.86^{a}$$9.41^{a} $$9.04^{a} $$9.25^{a} $$8.39^{b} $$9.68^{a} $
TEF$0.64^{a} $$0.61^{a} $$0.55^{a} $$0.67^{a} $$0.65^{a} $$0.48^{b} $
TEF$_{Fat} $$7.18^{a} $$6.73^{\\mathrm{ab}}$$6.31^{b} $$5.83^{a} $$7.26^{b}$ $7.12^{b} $
kcal$284.95^{a} $$299.01^{b} $$300.95^{b} $$290.50^{\\mathrm{a}}$$294.27^{b} $ $299.76^{c}$
"} {"image_path": "images/19dd5165bb78e463dabf6d00a38ad000.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Confinement energy
in $S=0$in $S=-1$ in $S=-2 $in $s=-3$
$E\\left[\\psi_{00}^{0}\\right]$1135129514551615
$E\\left[\\psi_{1 m}^{\\rho}\\right]$1610 177018251985
$E\\left[\\psi_{1 m}^{\\lambda}\\right]$1610170018951985
$E\\left[\\psi_{00}^{\\rho \\rho}\\right]$1705189519102070
$E\\left[\\psi_{00}^{\\rho\\lambda}\\right]$1810194520402150
$E\\left[\\psi_{00}^{\\lambda \\lambda}\\right]$18101705180520002070
$\\left\\langle\\psi_{00}^{\\rho \\rho}\\left|H_{0}\\right| \\psi_{00}^{\\lambda \\lambda}\\right\\rangle$-105-100 -90-85
$E\\left[\\psi_{1 m}^{\\rho \\lambda}\\right]$2020214522252315
$E\\left[\\psi_{2 m}^{\\rho \\rho}\\right]$1890208520552215
$E\\left[\\psi_{2 m}^{\\rho \\lambda}\\right]$1935206521502245
$E\\left[\\psi_{2 m}^{\\lambda \\lambda}\\right]$1890197521752215
$\\left\\langle\\psi_{2 m}^{\\rho \\rho}\\left|H_{0}\\right| \\psi_{2 m}^{\\lambda \\lambda}\\right\\rangle$-40-40-35-35
"} {"image_path": "images/7dfa58d0e26fe37695443cad8b772354.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
参数B标准 误差tSig.95%置信区间
下限上限
截距294.66724.30112.126.000245.038344.296
[超市位置= 居民区]119.00024.3014.897.00069.371168.629
[超市位置= 商业区]165.00024.3016.790.000115.371214.629
[超市位置= 写字楼]$0^a$...
[竞争者数量= 0个]-82.66728.060-2.946.006-139.973-25.360
[竞争者数量= 1个]-93.11128.060-3.318.002-150.418-35.804
[竞争者数量= 2个]37.11128.0601.323.196-20.19694.418
[竞争者数量= 3个及以上]$0^a$···
"} {"image_path": "images/f39b844a19100f7d7f5e1c0d3fcb7ecd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\lambda $$ U_{x}/M_{0}E_{x} $$U_{y} / M_{0} E_{y}$$ \\begin{gathered} -a\\Omega /M_{0}E_{y} \\\\\\ \\end{gathered} $
Z=1Z=2Z=1Z=2Z=1 Z=2
$\\zeta e/kT=2$
0.20.985900.968061.006230.988020.004030.00407
0.40.943380.870261.029310.949540.033240.03442
0.60.865200.699081.081500.873860.121270.12952
0.80.685520.431211.142530.718680.373140.38004
0.90.451530.238251.035870.546580.764620.66535
0.950.242470.118240.776520.378681.235500.92682
0.990.033590.016740.238130.118702.014391.30153
0.9950.012710.006570.127290.065812.163051.37386
0.999 0.001216.69E-40.026990.014972.295431.44198
$\\zeta e/kT=5$
0.20.972500.622410.992560.635240.004070.00388
0.40.88785-0.505040.96872-0.551040.034460.02601
0.60.73703-2.310100.92129-2.887620.130350.01869
0.80.48844-4.258460.81407-7.097430.39049-0.74609
0.90.29263-4.405510.67133-10.10690.70489-3.39879
0.950.15872-3.574830.50830-11.44861.01513-8.03934
0.990.02837-1.487740.20110-10.54631.52457-22.1979
0.9950.01237-0.949320.12385-9.505111.64245-28.1882
0.9990.00159-0.316070.03567-7.069291.77227-40.0304
$\\zeta e/kT=8$
0.21.013870.957181.034770.976920.004100.00408
0.41.051790.826341.147600.901610.035610.03472
0.61.093340.601171.366680.751470.144650.13087
0.81.039070.280691.731790.467810.526200.36737
0.90.836050.101861.918030.233671.177170.57826
0.950.589000.024841.886320.079562.038870.70325
0.990.19488-0.009251.38149-0.065604.154450.73338
0.9950.11343-0.008461.13575-0.084674.917510.69050
0.9990.03034-0.004410.67853-0.098696.220960.55129
"} {"image_path": "images/fc0bb73ac219a116359a0907f77c58ba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PriorityPerformancen=80n=100n=120
LFJFnon-LFJFLFJFnon-LFJFLFJFnon-LFJF
EDDAverage122.60350.50482.601111.801579.552719.20
Standard deviation57.08101.38207.76402.20485.75604.48
MSTAverage175.40962.30592.502119.051716.154143.65
Standard deviation59.44311.45180.87628.29487.78880.44
SPTAverage187.201817.25750.953520.002669.655887.50
Standard deviation78.18436.35312.14680.87636.98689.79
LPTAverage152.35152.35522.35522.351491.701491.70
Standard deviation68.4168.41178.44178.44403.67403.67
MCRAverage128.95387.65496.851030.451614.652914.30
Standard deviation60.9794.87206.14325.70516.60792.77
ERTAverage136.85325.35507.70988.301592.002722.30
Standard deviation63.91108.10185.71380.24482.45841.74
"} {"image_path": "images/7f4603cd19579c291d431e0c26fabfad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Concentration/ng $m l^{-1}$ Peak height / cmMeanpeakheight/cmStandarddeviation/cm
0.50.48, 0.32, 0.30, 0.300.350.09
5.02.60, 2.50, 2.52, 2.51, 2.602.550.05
10.04.80, 4.90, 5.20, 5.00, 5.105.000.16
15.07.05, 7.20, 7.24, 6.90, 7.107.100.13
20.09.50, 9.52, 9.60, 9.45, 9.509.510.05
30.014.0, 14.5, 14.1, 14.3, 14.714.30.28
"} {"image_path": "images/a1503622ff8d735d2c73f80b5ebea7af.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ER$T_c(Pg\\ C~yr^{-1})$$E_c(Pg\\ C~yr^{-1})$$T_{ac} (Pg\\,C)$$E_{ac} (Pg\\,C)$
S1S2S3S4S1S2S3S4
1.30.64-0.13-0.08--0.010.100.1719.26-3.85-2.31--0.393.085.02
1.80.88-0.17-0.10--0.020.140.2225.70-5.14-3.08--0.514.116.95
2.61.19-0.24-0.14--0.020.190.3135.70-7.14-4.28--0.715.7110.04
"} {"image_path": "images/c0009ccf6ce2169b646f9f4953f679d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Source$Cycle^a$$N_{1}$$(kg \\ ha^{-1})$P(%)(1-NHI)To first cropTo several crops
$N_c$$(kg \\ ha^{-1})$(Fm × E)No. ofcrops$N_{c}$$(kg \\ ha^{-1})$(Fm × E)
1.Rice-Soybean-Cowpea system:
Cowpea0115$nd^b$0.33nd0.286nd0.73
Soybean110232.20.371.750.1542.660.22
Cowpea110011.70.310.440.1231.840.50
Soybean277.732.90.401.350.13ndnd
Cowpea269.822.70.38ndndndnd
2. Rice-Corn-Cowpea system:
Cowpea0115nd0.33nd0.286nd0.71
Cowpea110013.90.300.470.1131.800.44
Cowpea266.033.10.40ndndndndnd
"} {"image_path": "images/f935f762a03c20ca42dd9dc1858caf2d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SeriesParameter$b\\sum\\sigma_I$$c\\sum\\sigma_R$$d\\sum\\sigma_{\\alpha}$
%
I$\\Delta$v59±828±913±2
II$\\Delta$v57±320±323±2
$\\Delta$G56±320±424±4
$\\beta$57±323±420±3
III$\\Delta$v47±753±60
IV$\\Delta$v71±717±1012±10
V$\\Delta$v42±252±26±2
$\\Delta$G41±253±26±2
$\\beta$44±252±44±3
VI$\\Delta$v38±253±29±2
VII$\\Delta$v41±649±710±7
VIII$\\Delta$v54±1433±1613±4
"} {"image_path": "images/00825b66fc5fd48263570b1f721ef50e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x(mol)R-factorLattice parameter (Å)$V_{unit-cell }~(Å^{3})$Tolerance factor(t)Electro negativity difference $(\\Delta e)$
$R_{Bragg}$GoFa-axisc-axis
$B=Nb^{5+}$
0.036.042.35.057513.9018307.940.95262.016
0.054.462.05.059313.9093308.330.95262.016
0.086.382.75.063313.9123308.880.95262.016
0.106.802.85.065513.9141309.190.95252.017
0.205.432.45.075913.9320310.860.95252.019
$B=Ta^{5+}$
0.034.842.25.057213.9020307.910.95262.017
0.054.712.45.059413.9045308.240.95262.018
0.085.172.25.062613.9096308.740.95262.019
0.105.392.55.064013.9143309.020.95252.020
0.205.302.85.065913.9153309.270.95252.025
"} {"image_path": "images/994f40a97f4244d618cb8b977651d8ad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Offspring 11100111
-6.2-1.128.537.860.615.80.54
Offspring 21111001
-1.86-7.329.81.45-2.196.941.40
"} {"image_path": "images/bb794da2417fc222979ee8c5886da099.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TimeLandfall areaNameH (m)V (m/s)P (hPa)N (magnitude)
1969-08-17Mexican Gulf, USACamille7.50809099.9
1970-11-12Bangladesh6.00709209.0
1992-08-23 Florida, USAAndrew5.18739228.7
1956-08-01Zhejiang, ChinaWanda5.02659238.3
2005-08-29New Orleans, USAKatrina4.04659187.7
1960-09-09 Florida, USADonna3.96679307.7
1959-09-26Nagoya, JapanVera3.45709257.5
1928-09-16 Florida, USAOkeechobee2.74649296.7
1965-07-15 Guangdong, ChinaFreda2.87359685.1
1981-09-05 Shanghai, ChinaAgnes2.14409554.7
1989-09-15Zhejiang, ChinaVera1.82309803.5
1971-10-18 Hainan, ChinaElaine1.12309802.2
1986-07-21 Guangxi, China1.10209961.1
"} {"image_path": "images/3b97a63ff6d608676d93843f4636058c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Reac-tantsPro-ductT/℃Time/hYield (%)${|\\alpha|_{D}}^{20} ee(\\%)$
1a + 2b10b600.3368+20°11
47236+111°60
-10*144*42+109°60*
1a + 2a10a22239+54°20
47234+184°68
"} {"image_path": "images/34d28d09bac93b52cc661adbf2086861.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PtCz film and ECDsN$T_{\\mathrm{ox}}(\\%)$$T_{\\mathrm{red}}(\\%)$$\\Delta T(\\%)$$\\Delta OD$$\\eta({cm}^2·{C}^{-1})$$\\tau_{\\mathrm{c} / \\mathrm{s}}$$\\tau_{\\mathrm{b} / \\mathrm{s}}$
${PtCz}(760{~nm})^{a}$333.063.530.5-0.2854.85.55.0
PtCz/PEDOT310.434.424.0-0.52234.90.61.0
$(600~nm) ^a$5010.833.022.2-0.49256.50.20.2
Ptz/PProDOT-Me ${ }_2$311.647.636.0-0.61248.40.20.6
$(572~nm) ^a$5012.047.035.0-0.59343.40.20.2
Ptz/PProDOT-Et ${ }_2$39.337.328.0-0.60336.80.40.3
$(591~nm) ^a$509.836.426.6-0.57330.70.10.1
"} {"image_path": "images/d95f776b24af09fb19602c7aed1d7213.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Secondary windings open
$U_1/V$$U_2/V$$I_1/A$$L_1/H$M/H
4.94170.76965.48342.869e-34.470e-4
11.0041.747512.35422.835e-34.505e-4
15.9622.487517.79162.856e-34.453e-4
20.4583.323322.8262.852e-34.637e-4
26.5874.30529.5582.863e-34.638e-4
29.5794.788332.8342.868e-34.644e-4
35.1045.68538.72.887e-34.678e-4
38.5086.231242.3582.894e-34.685e-4
Primary windings open
$U_1/V$$U_2/V$$I_2/A$$L_2/H$M/H
2.16573.23514.8678.900e-54.639e-5
3.80835.767526.5208.586e-54.573e-5
6.35459.660444.4588.098e-54.552e-5
"} {"image_path": "images/31cc674cdce01692e24ebefafd2ed7c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ParameterPercentage ofcontribution to UB(%)Essential notes
AQ20.48The better the rock quality,the ess theoverbreak
K18.12The deeper the stope, the less theoverbreak
AsR12.40The wider the stope,the more theoverbreak
SbR10.41The longer the ring burden, the more theoverbreak
Pt8.20The percentage of overbreak reduces whenthe size of stope is increased
Pf7.26The overbreak magnitude increasesexponentially when the powder factor isincreased
Bdia6.99The bigger the blasthole diameter,themore the magnitude of overbreak
Blen6.13The longer the length of blasthole,the lessthe percentage of overbreak
BTBL5.25The magnitude of overbreak is generallyincreased when the stope is blinded
AHW4.77The overbreak is more likely increased onthe parallel blasthole pattern than thefanned pattern
"} {"image_path": "images/6dae2b67b656655e00a4f6456d71ca19.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 1 Study group
UrinaryTNT, DNT, andmetabolite concentration
>DL
Numbern=19n=63
Sex
Femalen=4n=14
Malen=15n=49
Age (years)
Median4645
Range32-6026-57
Duration of exposure (months)
Median5159
Range0-590-59
Anamnestic data about exposure
Nonen=7n=5
Occasionaln=5n=11
Regularn=4n=47
Smoking habits
Never smokedn=7n=29
Ex-smokern=5n=10
Smokern=7n=24
Current alcohol consumption (g/day)
Median2020
Range0-550-140
DL, analytical detection limit.
"} {"image_path": "images/d66ded33dfb1176d831b1f5434568c1e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\Delta^iG_{2T}$is${ }^iK_2/\\mathrm{M}^{-1}$$\\Delta^iG_2$
CalculatedExperimental
-14.301$4.6\\times10^{10}$-14.3-14.4
-11.712$5.4\\times10^8$-11.7-11.9
-9.426$1.5\\times10^7$-9.7-9.4
-5.832$1.7\\times10^6$-8.4-8.2
-2.441$8.5\\times10^5$-8.0-8.1
"} {"image_path": "images/270d21091cc06b8adb389f874cde66a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableLive apartCR LTCTogetherF(3,83)BlackWhiteF(3,83)
Number of $S$ 's2338263750
Measures of depressive symptoms
CES-D13.3 (11.9)10.9 (10.2)12.9 (10.9)0.7010.9 (10.4)13.1 (11.2)1.41
Somatic5.1 (4.7)4.6 (3.5)5.3 (4.3)0.414.4 (4.2)5.3 (3.9)1.13
Depressive affect3.7 (4.6)3.2 (4.3)3.4 (4.5)0.212.9 (4.4)3.7 (4.4)0.81
Well-being4.2 (3.5)2.8 (3.2)3.7 (3.3)1.773.0 (2.8)3.7 (3.6)1.76
Interpersonal0.43 (0.90)0.36 (0.99)0.57 (1.17)0.350.4 (0.9)0.5 (1.1)0.08
Adjustment variables in intermediate model
Age 51.1 (9.7)53.7 (10.4)50.85 (10.0)0.6151.2 (10.3)52.9 (10.0)0.25
Gender $(\\%)$ 4.3 (20.8)15.7 (37.0)23.0 (43.0)1.716.2 (37.3)14.0 (35.0)0.10
Education15.2 (2.4)16.0 (2.8)15.8 (2.7)0.7515.8 (2.6)15.7 (2.7)0.20
Income53.7 (30.7)68.8 (30.7)57.3 (34.7)1.2153.6 (30.2)67.2 (32.8)2.44
CJCS32.2 (7.7)34.4 (4.9)33.3 (5.6)1.9835.0 (6.0)32.4 (5.7)6.11*
Crime concerns0.5 (1.2)-0.2 (0.9)-0.22 (0.58)4.3*0.06 (0.84)-0.01 (1.0)0.15
SBP111.4 (11.1)119.9 (16)124.4 (16.7)5.2**122.7 (14.9)116.2 (15.9)4.64*
DBP64.1 (5.7)67.0 (9.0)73.4 (8.7)8.2***70.5 (9.5)66.4 (8.0)4.59*
$\\mathrm{HbA} 1 \\mathrm{c} \\%$5.9 (0.80)5.6 (0.56)5.8 (0.99)0.546.0 (0.74)5.6 (0.72)6.48**
Adjustment variables in final model
CDR1.35 (0.89)2.59 (1.03)2.21 (0.85)13.8***2.2 (1.2)2.1 (0.98)2.30
Years caregiver5.4 (2.4)5.9 (4.4)5.9 (4.0)0.546.9 (4.3)5.0 (3.1)6.50**
"} {"image_path": "images/1a92895973522fe00882d1c6ce445cae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
M(g/mol) S(K)Slope (exp.)Slope (theo.) Dev.(%)$R^{2}$
Vac0-3.175-3.0553.80.999 98
He4.00379.4-3.232-3.1343.00.999 92
Ne20.17961.1-3.153-2.9895.20.999 83
$\\mathrm{N}_{2}$28.013106.7-3.046-2.9313.80.999 96
Ar39.948144.4-3.059-2.8327.40.998 89
Kr83.798187.8-2.345-2.470-5.40.997 55
"} {"image_path": "images/a49e5cf26a0fcf2c19820e95df8b0eef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
上榜日期证券名称最新流通盘(亿股)上榜前一周涨跌 (%)上榜前一日收盘价(元)上榜前一日涨跌 (%)首个交易日涨跌 (%)同期上证指数涨跌(%)与指数比(百分点)首个交易周涨跌 (%)同期上证指数涨跌(%)与指数比(百分点)
2010 年10 月 21 日中联重科4222.215.266.9-0.7-0.70-0.7-0.2-0.5
2010 年10 月 21 日紫金矿业633.89.78-1.40.6-0.71.30.6-0.20.8
2010 年10 月 21 日中信证券9924.515.993.3-3.2-0.7-2.51.5-0.21.7
2010 年10 月 21 日万科 A 97-5.18.92-6.1-0.3-0.70.48.0-0.28.2
2010 年10 月 22 日中联重科4224.015.15-0.73.6-0.33.9-2.40.3-2.7
2010 年10 月 22 日紫金矿业63-3.59.840.61.7-0.32.0-2.30.3-2.6
2010 年10 月 22 日国阳新能2421.829.45-2.8-1.9-0.3-1.63.40.33.1
2010 年10 月 22 日中信证券9913.415.48-3.2-2.8-0.3-2.55.30.35.0
2010 年10 月 22 日铜陵有色1016.826.9310.0-1.7-0.3-1.4-3.00.3-3.3
平均5819.119.803.10.600.63.512.5
"} {"image_path": "images/7bae8d4914b231b1ad1ee95202cc38f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
科 目原分配预算数流入金额流出金额
大眾傳播事業輔導-廣播電視事業輔導-設備及投資962,000183,692-
大眾傳播事業輔導-電影事業輔導-業務費48,945,000-4,384,961
大眾傳播事業輔導一電影事業輔導一獎補助費448,521,0004,348,161-
大眾傳播事業輔導-電影事業輔導-設備及投資184,00036,800-
大眾傳播事業輔導-出版事業輔導-業務費256,846,0001,601,417-
大眾傳播事業輔導-出版事業輔導-獎補助費284,884,000-1,673,417
大眾傳播事業輔導-出版事業輔導-設備及投資360,00072,000
3.行政院人事行政總處6,000,0003,1483,148
人事業務之策進執行及人員之考訓一地方人事行政業務一業務費5,605,000-3,148
人事業務之策進執行及人員之考訓一地方人事行政業務-設備及投資395,0003,148-
4.公務人力發展中心78,369,0001,531,6631,531,663
訓練輔導及研究一業務費68,166,000-1,531,663
訓練輔導及研究-設備及投資10,203,0001,531,663-
5.地方行政研習中心45,017,000226,000226,000
地方公務人員訓練一業務費37,850,000-226,000
地方公務人員訓練-設備及投資7,167,000226,000-
6.國立故宮博物院133,739,0001,040,0001,040,000
資訊管理一業務費89,296,000-1,040,000
資訊管理-設備費44,443,0001,040,000
7.客家委員會及所屬3,104,133,00060,915,39160,915,391
一般行政一業務費60,174,000-35,000
一般行政-設備及投資6,052,00035,000-
綜合規劃發展一業務費77,499,000-459,000
綜合規劃發展一獎補助費41,428,000459,000-
客家文化產業發展一業務費109,913,000-3,450,000
客家文化產業發展-獎補助費37,755,0003,450,000-
文化教育推展一業務费218,875,00035,130,000-
文化教育推展-獎補助費1,306,506,000-35,130,000
傳播行銷推展一業務費563,012,0004,137,500-
傳播行銷推展-獎補助費56,970,000-4,137,500
客家文化發展中心規劃與營運-業務費271,718,000-17,703,891
客家文化發展中心規劃與營運-設備及投資354,231,00017,703,891-
8.中央選舉委員會及所屬328,203,000199,381199,381
一般行政-業務費10,792,000-8,000
一般行政-獎補助費252,0008,000-
選舉業務-業務費269,433,000-177,381
選舉業務-設備及投資950,000177,381-
地方選舉委員會行政業務-業務費45,774,000-14,000
地方選舉委員會行政業務-設備及投資1,002,00014,000-
9.行政院研究發展考核委員會60,899,000950,377950,377
社會發展政策研究-業務費49,499,000950,377-
社會發展政策研究-獎補助費11,400,000-950,377
10.公平交易委員會14,458,000894,022894,022
公平交易業務-產業調查統計及資訊管理-業務費6,149,000-894,022
公平交易業務-產業調查統計及資訊管理-設備及投資8,309,000894,022-
11.大陸委員會598,993,0009,116,9519,116,951
一般行政-業務費41,745,000-510,369
"} {"image_path": "images/e495d8b33c0eac442d786852921f9926.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathrm{Mn^a}$$\\mathrm{Fe}^\\mathrm{b}$$\\mathrm{Co^a}$$\\mathrm{Ni^a}$$\\mathrm{Cu^a}$$\\mathrm{Zn^a}$$\\mathrm{As}^{\\mathrm{a}}$$\\mathrm{Pb^a}$
This study292.22.710.422.336.6105.5106.052.9
Turekian andWedepohl(1961)8504.7196845951320
Silva et al. (2010)160.0----41.0 --
de Noronha et al.(2011)2.4---155.0--
Marques et al. (2011)49.01.3--11.041--
Mendes (2015)292.85.37.011.8515.7240.014.218.05
de Paula Filho et al.(2015)6331.4--6.813.4- 5.9
"} {"image_path": "images/1cef63517eb4522dc63d187af610182b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
总计
I124200054水 田 荠51
II001232439老 鹳 草4
III16081088洋 白 菜359
IV10500130118莴 苣0
V0010708115苦 苣 菜0
总计414总计414
"} {"image_path": "images/7cc78458fe61e33291da88ef6ce85d51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号S$\\Omega$$\\min\\Omega$
1{v2}{$e_{1}, e_{2}, e_{3}$}$e_1=\\left\\langle v_1,v_2\\right\\rangle$
2{$ v _{2}, v _{1 }$}{$e_{2}, e_{3}$}$e_2=\\left\\langle u_{2}, v_{3}\\right\\rangle$
3{$ v _{2 }, v _{1 },v _{3 }$}{$e_{3}, e_{4}, e_{5}$}$\\left.e_{3}=\\left\\langle v_{2}, v_{4}\\right\\rangle\\right.$
4{$ v _{2 }, v _{1 },v _{3 }, v_{4}$}{$e_{4}, e_{5}, e_{7}, e_{8}$}$\\left.e_{4}=\\left\\langle v_{3}, v_{7}\\right\\rangle\\right.$
5{$ v _{2 }, v _{1 },v _{3 }, v_{4}, v_{7}$}{$e_{5}, e_{7}, e_{8}, e_{9}, e_{10}$}$\\boldsymbol{e}_{5}=\\left\\langle v_{3}, v_{5}\\right\\rangle$
6{$ v _{2 }, v _{1 },v _{3 }, v_{4}, v_{7}, v_{5}$}{$e_{6}, e_{8}, e_{9}, e_{10}$}$\\boldsymbol{e}_{6}=\\left\\langle\\boldsymbol{v}_{5}, \\boldsymbol{v}_{6}\\right\\rangle$
7{$ v _{2 }, v _{1 },v _{3 }, v_{4}, v_{7}, v_{5}, v_{6}$}{$ e_{10}$}$\\boldsymbol{e}_{10}=\\left\\langle\\boldsymbol{v}_{7}, \\boldsymbol{v}_{8}\\right\\rangle$
序号$d_{\\min } $$E_{k j}=E_{k i}+\\min \\Omega$$d_{k j}=d_{k i}+d_{\\min }$
11 $E_{21}=E_{22}+e_1=\\left\\{e_1\\right\\}$$d_{21}=d_{22}+1=1$
22$E_{23}=E_{22}+e_2=\\left\\{e_2\\right\\}$$d_{23}=d_{22}+2=2$
33$E_{24}=E_{22}+e_3=\\left\\{e_3\\right\\}$$d_{24}=d_{22}+3=3$
4 4 $E_{27}=E_{23}+e_4=\\left\\{e_2, e_4\\right\\}$$d_{27}=d_{23}+4=6$
55$E_{25}=E_{23}+e_5=\\left\\{e_2, e_5\\right\\}$$d_{25}=d_{23}+5=7$
66$E_{26}=E_{25}+e_6=\\left\\{e_2, e_5, e_6\\right\\}$$d_{26}=d_{25}+6=13$
710 $E_{28}=E_{27}+e_{10}=\\left\\{e_2, e_4, e_{10}\\right\\}$$d_{28}=d_{27}+10=16$
"} {"image_path": "images/0706defa19fa5bb9352c9919452a418f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Temperature,℃${Xe}^{132}\\times10^{-10}$ccSTP/g$Xe^{128}/Xe^{132}$$Xe^{129}/Xe^{132}$$Xe^{131}/Xe^{132}$
3000.0600.59 ± .061.00 ± .020.87 ± .01
4000.105$0.86 \\pm .08$$1.12 \\pm .02$0.96 ± .02
5000.050$0.86 \\pm .08$$ 1.21\\pm.04 $1.37 ± .04
6000.0650.75 ± .08$ 1.31\\pm.03 $$ 1.89\\pm 16 $
7000.031$0.52 \\pm .02$1.34 ±. 031.90 ± .07
8000.029$0.34 \\pm .01$$ 1.15\\pm.02 $1.35 ± .03
9000.032$0.44\\pm.01 $$ 1.27\\pm.02 $1.46 ± .05
10000.075$0.179 \\pm .005$1.181 ± .0191.11 ± .01
11000.112$0.177 \\pm .004$1.267 ± .0081.02 ± .01
12000.248$0.138 \\pm .002$$ 1.180\\pm.013 $0.94 ± .01
13000.275$0.144 \\pm .004$$ 1.200\\pm.015 $0.87 ± .01
14000.072$0.163 \\pm .004$1.235 ± .020$0.87 \\pm .01$
Total1.150.3261.1971.06
"} {"image_path": "images/b011964cab119a5265caebee02f3ed9e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model/filteringPersian-EnglishFrench-EnglishSpanish-English
RulesBLEUTimeRulesBLEUTimeRulesBLEUTime
baseline1111.750.217627.070.120623.360.2
Z&V3011.7316.496928.7815.0118324.5367.9
boundary2912.2721.291628.6613.8111524.5454.8
boundary/non-lexical712.2910.15727.989.46523.138.9
boundary/monotonic1611.957.324928.632.029524.181.3
"} {"image_path": "images/8e7ded37c7494a6df7ca994a346213c1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
X$\\lambda =0.2$$\\lambda=0.5$$\\lambda=1.0$
$H_{S}$$~~~H_{S_{L}}$($\\bar{H}=0.05$)$H_{S_{K}}$$H_{S}$$~~~H_{S_{L}}$($\\bar{H}=0.1$)$H_{S_{K}}$$H_{S}$$~~~H_{S_{L}}$($\\bar{H}=0.15$)$H_{S_{K}}$
0.00000000000
0.200.0200.0200.0200.0500.05000.05000.1500.10000.1000
0.400.0400.0400.0400.1100.10000.10000.2580.19980.2000
0.500.0500.0500.0500.1400.12500.12500.3120.24940.2500
0.600.0600.0600.0600.1700.14990.15000.3450.29760.3000
0.700.0700.0700.0700.1880.17440.17500.3660.34080.3500
0.750.0750.0750.0750.2000.18580.18750.3750.35720.3750
0.800.0800.0800.0800.2060.19540.20000.3660.36530.4000
0.850.0850.0850.0850.2060.20000.21250.3420.35730.4250
0.900.0900.0880.0900.1850.19120.22500.3060.31820.4500
0.950.0820.081$_5$0.0950.1300.14550.23750.2400.21830.4750
1.000.0000.0000.1000.0000.00000.25000.0000.00000.5000
"} {"image_path": "images/034497362ecd8905a53976c08c41ea82.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
行动观测数字 反应百分比平均反应时间(天)对应行动百分比
降价12475%5.798%
与旅行社一起促销486911.4100
促销战1033718.274
定期短途航线的供应者联盟93346100
与其他航空公司合作241713100
改善服务2412.510.7100
引进新的服务238.7NANA
增加每日班次1533.345100
退出航线3315220
进入航线17244143
飞行者常客促销291722100
并购181125100
枢纽创新1717.72833
"} {"image_path": "images/0b05ca440f2a42acdae9e5d4e9b89256.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
proteinCD Trp fluorescenceAEDANS fluorescence intensityenzyme activity
$\\Delta\\lambda_{\\max}$intensity
PGK
${c_\\mathrm{m}}^a$0.80 ± 0.020.73 ± 0.020.70 ± 0.02 (first effect)0.70 ± 0.02
$n^b$12.891319
$c_\\mathrm{m}$1.38 ± 0.1 (second effect)
n3.8
C-domain
$c_\\mathrm{m}$0.63 ± 0.020.73 ± 0.020.57 ± 0.08 (first effect)
n7.86.84.5
$c_\\mathrm{m}$1.36 ± 0.1 (second effect)
n1.3
N-domain
$c_\\mathrm{m}$0.80 ± 0.02
n6.5
labeled PGK
$c_\\mathrm{m}$0.55 ± 0.050.89 ± 0.05 (half effect)
n56.7
labeled N-domain
$c_\\mathrm{m}$0.68 ± 0.050.73 ± 0.05
n44
$^{a}c_{\\mathrm{m}}$ is expressed in molar Gdn·HCl. $^{b}n$ is cooperativity index evaluated from the relationship $K_{\\mathrm{app}} = K_{0}C^{n}$.
"} {"image_path": "images/e378d468ee049ee5e503de70dc5f60ae.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Lcomplex$\\delta^{31}P$$(C_2Ph_4P_2)$$\\delta P$(L)spinsystem$\\sum J_{AX} + J_{AX'}$$\\text{or}~{}^{2}J_{\\text{PNiP}},~Hz$
$^{1}/_{2}\\mathbf{DPPE}^{a}$4+89+52AA'XX'$\\sum=88$
$PPh(CH_2Ph)_2$6b+103+24$A_2X_2$${}^{2}J=49$
$PMe_2Ph$7+106-3$A_2X_2$${}^{2}J=51$
$PEt_3$8b+113+19$A_2X_2$${}^{2}J=48$
$P^nBu_3$9b+114+11$A_2X_2$${}^{2}J=49$
$^{1}/_{2}\\text{DPPP}^{b}$10+113+15$A_2X_2$${}^{2}J=44$
"} {"image_path": "images/2cd2640a9b5c7ec89074de490a225657.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HS codeHS descriptionMeanMedianObservationsCV
200820092010200820092010200820092010200820092010
02013000Meat of bovine animals,boneless, fresh or chilled52.0751.4234.7528.0333.8818.8162771590.92831.04381.0002
02042100Carcasses and half carcasses ofsheep, fresh or chilled12.9013.3114.469.3814.2714.608201,0559451.01370.58710.5976
02071200Poultry, not cut in pieces, frozen7.486.777.177.026.105.814534133290.80590.44901.0318
04011030Long-life milk (of a fat notexceeding 1% by weight), inpacking exceeding 1 L5.533.253.893.302.483.253674325531.21280.94080.8900
04029110Concentrated, milk5.024.673.773.103.233.096581,1561,2061.84070.82810.9523
04031000Yogurt4.094.936.962.844.426.559385016331.30461.05800.7106
04070090Birds eggs, other6.466.366.045.186.295.63893004231.00610.57110.6704
07019000 Potatoes, fresh or chilled1.152.961.711.091.091.091,5082,3652,3340.69054.02252.0214
07020000Tomatoes, fresh or chilled1.282.261.210.260.260.262,1952,0842,2623.85232.86182.7925
07031011Onions for food (green or dry rind)1.371.881.691.091.091.091,1431,4732,0671.17994.08911.7915
07041000Cauliflower and headed broccoli,fresh or chilled0.771.300.940.780.970.982,4202,3822,6721.23754.88591.8043
07051100Cabbage lettuce (head lettuce)0.604.332.190.260.260.261,5391,5712,1471.92754.19002.8105
07061000Carrots and turnips, fresh orchilled1.361.371.581.091.091.091,8781,4051,6752.40001.31461.4885
07070000Cucumbers and gherkins, fresh orchilled0.960.761.381.091.091.092,6002,1472,6222.50390.72022.1659
07082000Beans, shelled or unshelled, freshor chilled1.370.852.400.301.091.098841,1602,0851.96500.86941.9455
07093000Aubergines (egg plants), fresh orchilled0.720.701.390.260.261.081,4891,7862,4942.32131.37751.9304
07096000Fruits of the genus capsicum or ofthe genus pimenta0.890.941.580.260.260.262,3382,1922,8903.58594.26042.0811
07134000Dried lentils, shelled, whether ornot skinned or split4.144.553.082.332.362.803693643781.62952.89040.7634
08051000Oranges, fresh or dried1.321.431.741.001.331.251,1091,0741,0301.43880.69651.7966
08052000Mandarins (incl. tangerines andsatsumas) clementine, wilkings,fresh or dried1.311.401.441.001.251.327016047160.97050.78641.3200
08071100Watermelons1.731.211.010.980.980.986297437862.77072.63650.7490
08081000 Apples, fresh2.102.042.201.671.671.621,9441,5371,9581.08920.80471.5651
10019010Normal wheat1.841.532.311.780.991.05107190.38730.45441.5802
10030000Barley13.2011.310.922.003.300.77357282.02921.04950.4648
10063000Semi-milled or wholly milled rice,whether or not polished or glazed4.114.413.282.802.612.831,0509338971.68463.22770.6315
"} {"image_path": "images/4794f75ec0f5adcbd7a5a272833b1ab1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Pre-harvestPost-harvest (1)Post-harvest (2)Post-harvest (3)
Control plotsTreated plotsControl plotsTreated plotsControl plotsTreated plotsControl plotsTreated plots
Density (/25 ha)13·8 ± 3·712·6 ± 2·214·6 ± 3·88·6. ± 2·714·8 ± 3·69·4 ± 2·716·6 ± 2·912 ± 3·0
Territory size (ha)1·00 ± 0·150·90 ± 0·091·24 ± 0·111·57 ± 0·141·34 ± 0·191·96 ± 0·221·27 ± 0·221·89 ± 0·23
"} {"image_path": "images/c44be7c1912156f62e557fa9c00e3770.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
4/5155/8281559
上/13046/856
上/13118/1138$2829_4$ 徐
下/1383上/135500徐彦若
1513下/14187/1047
80侯令儀1548
5/743$2732_7$ 烏徐商
7/106820烏重胤4/460
3/2714/461
$2724_7$ 殷4/3625/700
24殷侑4/528上/1360
2/2524/530下/1387
3/2734/66123徐俊
3/27415147/1053
4/53122烏崇福1549
4/6367/111734徐浩
5/82715567/1021
上/133734烏漢真下/1453
15173/34450徐申
1554上/13427/1027
25殷仲卿86烏知義7/1051
3/3318/128168徐晦
上/1341下/13806/864
上/13451528
26殷儼$2733_6$ 魚
6/86817魚孟威$2835_1$ 鲜
下/14256/94810鮮于仲通(李叔明)
7/1086/962
$2725_7$ 伊下/14376/993
94伊慎下/14648/1273
8/1266下/1442
$2760_3$ 魯1559
$2731_2$ 鲍60魯炅
70鮑防2/241$2891_7$ 紇
4/4168/125210紇干#
"} {"image_path": "images/104d447b3ddcf27a0e3af3b5d6c5945f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$^{4}I_{j}$$E\\parallel\\mathbf{X}$$E\\parallel\\mathbf{Y}$$E\\parallel\\mathbf{Z}$
A$(s^{-1})$β($\\%$)A$(s^{-1})$β($\\%$)A$(s^{-1})$β($\\%$)
$^{4}I_{9/2}$397140248040275947
$^{4}I_{11/2}$483249307549263345
$^{4}I_{13/2}$99210636104848
$^{4}I_{15/2}$50132124$\\approx 0$
"} {"image_path": "images/394f01fe479591ffe7ba017f1cb02d46.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
OperatorNotes
. [] ()Parentheses()group expressions;dot (.) is used for access tomethods and variables within objects and classes (discussedtomorrow); [] is used for arrays (discussed later on in the week)
++ -- ! ~ instanceofReturns true or false based on whether the object is an instanceof the named class or any of that class's superclasses (discussedtomorrow)
"} {"image_path": "images/b643cbfb28313d8d01e56a4d5645c942.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dog No.$k/vq$
$1/\\text{msec}$
20.138
30.094
50.078
70.104
80.079
Average0.10
SE0.02
"} {"image_path": "images/946f466c3364123ce6223dc7fe283b9c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学校类别农业院校林业院校医学院校
学校规模(学生数)200030005000200030005000200030005000
教室2.512.512.512.802.802.802.282.282.28
图书馆2.151.911.642.071.931.602.452.071.82
实验室、实习场所及附属用房10.909.848.7611.4610.479.2311.639.728.83
风雨操场0.600.500.470.600.500.471.200.600.50
"} {"image_path": "images/cbcce545293bc1f7490a5b926293040e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Specimen$ P_{\\text{max}} (\\text{kN}) $Fatigue life
$N_1$InN$N_2$InN$N_3$InN
Uncorroded18.5425247.83451288.54272128.884
16.22109,95711.608210,83112.259331,76512.712
13.90477,42813.076878,23413.686967,30813.782
Corroded18.547296.5929536.86019007.550
16.2268668.83413,4409.50675,37611.230
13.90208,62812.248262,90212.480304,78512.627
"} {"image_path": "images/8f163796dc2bec16a2740e9af42d0b9d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(N,M)PadéExact% Error$-\\epsilon^{\\prime}$
(5,5)-1033.7-10804.31.5
(5,6)657.46651.10.78
(6,6)196.338448.91.9
(7,6)799.1196859.4-7.9
(7,7)2180.620168.20.80
(7,8)-25 139.2-25 6982.213.4
(8,8)39 546.039 5520.0150.88
(9,8)- 9 424.4-38721430.94
(9,9)5205 730.120 8802.5(4)- 54.1
(8,10)20 745.820 8800.64-54.1
(10,8)21 746.020 8804.1-54.1
(7,11)18 715.620 88010.4-54.1
(11,7)22 522.320 8807.9-54.1
(9,10)-65 713.9-65 7270.0200.42
(10,10)-378 156.4-379 0720.242.8
(11,10)1279 803.51277 6460.171.6
(11,11)-993 854.7-986 8560.710.77
(12,11)173 506.0176 9782.00.77
(12,12)-2148 733-2163 5040.68-67.2
(12,13)-1829 882.1-1818 9960.601.1
(13,13)27 914 928.52787 1080.1619.2
(13,14)-47 086 318.0-47 138 8440.110.89
(14,14)20 503 116.820 789 4241.40.74
(15,14)—36 555 836.9-36 509 6520.13-3.0
(15,15)76 910 446.3770 55 3300.19-0.20
(15,16)393 006 968.3393 046 6560.0103.4
(16,16)-140 3018 924-140 2934 8160.00601.7
(17,16)1403 798 649140 3843 3880.00320.72
(17,17)-798 532 957.6
"} {"image_path": "images/07da6e90d9bc1aed102e618f104956ed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Y_1$ = GDP in k$/hab$Y_2$ = Mortality rate
≤ 1]1, 20]>20≤ 0.1> 0.1
Africa0.340.660.000.250.75
Nafta0.000.330.671.000.00
Oriental Asian0.070.800.131.000.00
Europe0.000.320.680.740.26
"} {"image_path": "images/f8955682d5550714f5c24cb4aadf47cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Data sets$LUHC_{lin}$$LUHC_{rbf}$$BSVM_{lin}$$BSVM_{rbf}$NBS-EM
Acc (%) Acc (%) Acc (%) Acc (%) Acc (%) Acc (%)
$\\hat{F}$ value$\\hat{F}$ value$\\hat{F}$ value$\\hat{F}$ value$\\hat{F}$ value$\\hat{F}$ value
Hepatitis72.1075.2869.4971.3764.2874.29
0.5870.6200.5000.5380.4890.608
Hearts72.3175.2271.0874.3469.7175.92
0.5440.6070.5290.5820.4710.595
CMC63.0466.4260.1764.2156.1263.58
0.4750.5310.4500.5920.4020.514
Ionosphere78.5272.4973.2075.1069.5474.21
0.6050.5310.5570.5230.5390.584
Australian74.5076.2570.8574.1267.4975.07
0.6180.6630.5670.6070.5470.644
German 67.8069.2265.3667.9358.8470.25
0.5370.5770.5380.5190.4860.562
Ave. Acc 71.3872.4868.3671.1864.3372.22
Ave. $\\hat{F}$0.5610.5880.5240.5600.4890.585
"} {"image_path": "images/a8d86a1dfe57738c22ec8c5b3e73c2da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sample$\\Delta\\nu$$t_1-t_2^\\ast $$t_{1}$$t_1(o)-t(m)$$t_{1}(o)$$t_1(\\mathfrak{m})$$1-t_{1}$$t_2(o)=t_2(m)$
1900.120.560.120.340.220.440.22
2900.120.560.150.350.210.440.22
3900.120.560.070.320.240.440.22
4910.160.5800.290.290.420.21
5900.120.5600.280.280.440.22
6910.160.580.100.340.240.420.21
7910.160.580.100.340.240.420.21
8910.16 0.580.100.340.240.420.21
9910.160.580.120.350.230.420.21
10920.200.6000.300.300.400.20
11900.120.560.130.350.210.440.22
12920.200.600.160.380.220.400.20
13910.160.580.130.350.220.420.21
14910.160.580.240.340.240.420.21
15930.240.620.130.380.240.380.19
16890.080.540.210.380.160.460.23
17940.280.640.160.400.240.360.18
18920.200.600.180.390.210.400.20
19880.040.520.040.280.240.480.24
20890.080.540.100.320.220.460.23
21890.080.590.070.310.230.460.23
22900.120.560.040.300.260.440.22
23910.160.580.100.340.240.420.21
24920.200.600.220.410.190.400.20
25920.200.600.210.410.190.400.20
26930.240.620.070.350.270.380.19
27940.280.640.060.350.290.360.18
28940.280.640.180.410.230.360.18
29920.200.600.190.400.200.400.20
30920.200.600.190.400.200.400.20
"} {"image_path": "images/25f18a2b0e871f5db847ade9550b7736.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\theta_{0}=0.4$$\\theta_{0}=0.7$$\\theta_{0}=0.95$
MeanMedsdrmseMeanMedsdrmseMeanMedsdrmse
$\\beta_{0}=0$
OLS-0.005-0.0040.0410.041-0.006-0.0050.0320.033-0.008-0.0060.0160.018
GLS-0.005-0.0040.0410.041-0.006-0.0050.0320.033-0.008-0.0060.0160.018
OIV-0.005-0.0050.0410.041-0.006-0.0060.0320.033-0.008-0.0060.0160.018
CF-0.004-0.0040.0420.042-0.005-0.0040.0330.033-0.006-0.0040.0160.017
LGMM-0.004-0.0040.0420.042-0.004-0.0030.0330.034-0.004-0.0020.0160.017
$\\beta_{0}=0.5$
OLS-0.008-0.0070.0680.068-0.010-0.0080.0480.049-0.009-0.0070.0190.021
GLS-0.005-0.0040.0490.049-0.006-0.0050.0340.035-0.007-0.0050.0140.016
OIV-0.010-0.0100.0660.067-0.011-0.0090.0440.046-0.009-0.0070.0180.020
CF-0.003-0.0020.0550.055-0.004-0.0030.0410.041-0.005-0.0030.0180.018
LGMM-0.001-0.0010.0530.053-0.0010.0010.0410.041-0.0020.0010.0170.017
$\\beta_{0}=0.9$
OLS-0.019-0.0140.1300.132-0.025-0.0160.0950.098-0.016-0.0090.0350.039
GLS-0.004-0.0040.0500.050-0.005-0.0030.0310.031-0.004-0.0030.0110.012
OIV-0.030-0.0230.1250.129-0.033-0.0210.0880.094-0.012-0.0080.0310.033
CF-0.0010.0010.0860.086-0.0030.0000.0630.063-0.004-0.0010.0230.023
LGMM0.0020.0020.0640.0640.0040.0050.0500.0510.0020.0040.0180.018
"} {"image_path": "images/9c29e3a315d28da97a6f500d52b4d31a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelKineticparametersAmmoniumPhosphateCd (II)
Pseudo-first-order model$q_e(\\mathrm{mg} / \\mathrm{g})$26.5712.723.42
$k_1(\\mathrm{mg} /(\\mathrm{g} \\cdot \\mathrm{min}))$0.00290.10080.0210
$R^2$0.980.950.96
Pseudo-second-ordermodel$q_e(\\mathrm{mg} / \\mathrm{g})$24.4913.763.15
$k_2(\\mathrm{~g} /(\\mathrm{mg} \\cdot \\mathrm{min}))$0.05700.00910.0493
$R^2$0.990.990.98
"} {"image_path": "images/3498c4463c5136116f0926b0689ba7a2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Concentration (mg/L)Pseudo-second order
$\\mathrm{k}_{2}(\\mathrm{~g} / \\mathrm{mg}~\\mathrm{min})$$\\mathrm{q}_{\\mathrm{e}, \\mathrm{cal}}(\\mathrm{mg} / \\mathrm{g})$$\\mathrm{q}_{\\mathrm{e}, \\exp }(\\mathrm{mg} / \\mathrm{g})$$R^2$
200.271 (±0.005)13.947 (±0.154)13.905 (±0.118)0.999
300.240 (±0.008)19.724 (±0.226)19.722 (±0.122)0.999
500.211 (±0.007)30.211 (±0.360)30.207 (±0.036)0.999
Concentration (mg/L)Intraparticle diffusion
$\\mathrm{k}_{\\mathrm{i}}\\left(\\mathrm{mg} / \\mathrm{g}~\\mathrm{min}^{0.5}\\right)$c$R^2$
302.102 (±0.030)13.631 (±0.055)0.985
502.820 (±0.071)23.233 (±0.115)0.980
"} {"image_path": "images/0cf4fe810dbf55e16f0654922f8c6317.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
n P$D_0\\mathrm{~(m^2/s)}$$ Q~(\\mathrm{kJ} /\\mathrm{mol}) $ARef.
Grain-boundary sliding
Lattice diffusion22$ 1.0\\times 10^{-4} $135$ 1.8\\times 10^{6} $[23,24]
Grain-boundary diffusion23$ 7.8\\times 10^{-3} $92$ 1.9\\times 10^{5} $[23,24]
Dislocation creep
Solute drag creep30$ 1.2 \\times 10^{-3} $138$3.0 \\times 10^{-2}$[25]
Climb-controlled creep50$ 1.0\\times 10^{-4} $135 $3.6\\times 10^{11}~(\\gamma/ Gb)^{3}$ [22]
Climb-controlled creep70$7.8×10^{-3}$92$ 1.1\\times 10^{12}~(\\gamma/\\mathrm{Gb})^{3} $[22]
"} {"image_path": "images/ebc70c8cf33d6598d5e3b4bc6968428d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Demographic characteristicMean correct, %Average estimated ability
Education
Less than high school64.7-0.899
High school degree84.9-0.038
$\\text{ Associate's degree}$83.8-0.013
Bachelor's degree83.8 -0.034
Master's degree or higher88.10.199
Age in years
18-2177.4-0.493
22-3483.7-0.042
35-4483.6-0.066
45-540.222
88.3
55-6489.40.212
65 and older85.9-0.122
Gender
Male80.6-0.236
Female87.20.143
"} {"image_path": "images/3846a1a2b775e12379ad4eee2de19f78.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableMinimumMaximumMeanStd. deviationWHO 1993(recommended)
Temperature $({ }^{\\circ} \\mathrm{C})$28.7031.129.880.7325.00
pH7.108.307.850.357.0-8.5
Turbidity (NTU)105.001355.00341.54324.605.00
EC $(\\mu{S} / {cm})$74.00498.00251.85116.87500.00
Total Hardness115.03137.13125.036.74300
TDS $(mg / L)$4326313661500.00
${F}^{-}$(mg / L)0.210.600.270.111.50
${Cl}^{-}$(mg / L)2.276.233.760.97250.00
${NO}_3^-$(mg/L)0.253.741.551.0045.00
${PO}_4^-$(mg/L)0.190.420.310.080.1
${SO}_4^-$({mg/L})7.6932.7110.626.69200.00
${SiO}_{2}^{-}$(mg / L)4.679.347.111.41-
Li (mg/L)0.170.540.290.120.003
Na (mg/L)7.7530.5820.427.16200.00
$NH_{4}$(mg/L)0.160.990.600.230.2
K (mg/L)2.043.522.640.40200.00
Ca (mg/L)24.4135.5930.843.0430.00
Mg (mg/L)9.2914.7511.691.74200.00
$HCO_{3} $(mg/L)152.62193.55172.1511.5975.00
Zn (mg/L)0.000.760.120.243
Fe (mg/L)4.9355.9931.1717.471-3
Pb (mg/L)0.000.110.010.030.01
Cd (mg/L)0.000.000.000.000.003
Mn (mg/L)0.120.830.450.230.5
"} {"image_path": "images/af0cd6dfad3e83080f4b2698aaf22853.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
蛇口工业区结算中心输出账表
业务报表存款汇总表存款明细表
贷款汇总表贷款明细表
定期存款汇总表定期存款明细表
透支明细表存款余额表
对账单利息报表
财务报表科目余额表试算平衡表
日报表现金流量表
科目记息计算表
分析报表平均利息表存款 (贷款、现金) 平均数表
平均利率表存贷对比表
存贷金额对比表到期预警表
逾期贷款表贷款账龄分析表
"} {"image_path": "images/c37c1eeff915a04b7719f3706b3a66e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Pressure(kPa)GasSolubilitycoefficientDiffusioncoefficientPermeability
100$CO_{2}$0.6426.2540 118
$N_{2}$0.02512.513090
200$CO_{2}$0.4596.1328 143
$N_{2}$0.02011.282267
600$CO_{2}$0.2524.8612 218
$N_{2}$0.0088.19630
1000$CO_{2}$0.1005.055080
$N_{2}$0.0056.10305
"} {"image_path": "images/fff9400dbf91ca62259413e7ea79a485.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SubjectPatientFatherMother
Sex/age (years)M/11M/68F/42
RBC $(×10^{12}/L)$4.453.584.92
Hb (g/dL)12.310.713.2
Ht $(\\%)$35.332.039.5
MCV (fL)79.389.480.3
MCH (pg)27.629.926.8
RDW $(\\%)$13.515.713.2
Reticulocytes $(\\%)$1.543.880.85
Electrophoretic pattern$HbA_2 + HbA$$HbA_2 + HbA$$HbA_2 + HbA$
Hb A2 $(\\%)$$0.8^{a}$$0.7^{a}$2.8
Hb F $(\\%)$0.10.20.1
Serum iron (g/dL)66.062.088.0
Serum ferritin (ng/mL)63.38134.8076.10
Haptoglobin (mg/dL)73.9160.0154.0
Total bilirubin (mg/dL)0.320.440.34
LDH (U/L)195.0135.0148.0
Genotype$\\alpha^{Kirklareli}\\alpha /\\alpha\\alpha$$\\alpha^{Kirklareli}\\alpha/\\alpha\\alpha$$\\alpha\\alpha/-\\alpha^{3.7}$
"} {"image_path": "images/fb3822269281c78448d350ae46523bc9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Model parametersCoefficients
$f_1$$f_2$$f_3$$g_1$$g_2$$g_3$
$Φ_{ring}$1-0.023$1.32×10^{-4}$7.42-0.1670.00109
$\\tau_w$3.35-0.065$5×10^{-4}$10.060.0012
$\\tau^*$16.8-0.3680.0021100
"} {"image_path": "images/e3e9fa64751e787d5a6e1f149398d946.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Data No.Temp. °CExperimentalViscositymPa.sPredictedViscosityfromModel 1AbsoluteError%PredictedViscosityfromModel 2AbsoluteError%
121.3500,000.0668,219.633.6712,668.242.5
231.0168,000.0160,739.24.3159,721.44.9
333.8120,000.0109,735.88.5107,943.410.0
440.057,000.049,287.113.547,959.615.9
550.017,500.015,343.212.315,004.214.3
655.010,000.09,031.79.78,190.910.9
767.03,000.02,891.13.62,932.42.3
871.22,000.02,021.31.12,071.23.6
975.01,480.01,487.00.51,537.23.9
1081.0920.0944.02.6988.97.5
1190.3480.0500.34.2532.410.9
1296.0360.0394.69.6377.24.8
13120.0100.0104.14.1112.212.2
14130.070.069.50.774.46.3
"} {"image_path": "images/fd2c21579e89fa85b7c549ed2525b517.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Baseline56.65-3.4110.46
152.67-1.3816.70
248.330.8522.12
345.024.0527.37
442.577.2531.38
538.6711.0034.60
5a35.1713.5234.67
631.3617.9536.01
729.3119.9535.22
827.1821.6834.58
"} {"image_path": "images/933fdb339c986b18fa62625888bfe4d6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SpeciesTrees in pavingTrees in grassTrees in shrubplanting Meanextensiongrowth of urbantrees as apercentage of treesin arboretaand nurseries
Meanshootextension(cm) % oftrees in'good'conditionMeanshootextension(cm)% oftrees in'good'condition Meanshootextension(cm) % oftrees in'good'condition
Acer10.4749.78215.28651
Betula10.77911.38297767
Fraxinus7.36811.67617.79344
Platanus15.287179513.27562
Prunus10.48314.17811.49070
Robinia24.98417.37519.28796
Sorbus(aria types)15.5828.49214.88370
Sorbus(aucupariatypes)15.48212.76113.97356
Tilia9.68211.18912.48769
"} {"image_path": "images/b686fee6f973908f4bfd444f0159978c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.DateRecord nameComp.Station namePGA (g)
1.1987/10/04Whittier NarrowsNS24399MtWilson-CIT Station0.158
2.1987/10/04Whittier NarrowsEW24399MtWilson-CIT Station0.142
3.1999/09/20Chi-Chi, Taiwan056-NHWA0560.107
4.1999/09/20Chi-Chi, Taiwan056-NHWA0560.107
5.1987/10/01Whittier NarrowsNS24399MtWilson-CIT Station0.186
6.1987/10/01Whittier NarrowsEW24399MtWilson-CIT Station0.123
7.1971/02/09San FernandoN069127 Lake Hughes #90.157
8.1971/02/09San FernandoN159127 Lake Hughes #90.134
9.1994/01/17NorthridgeNS90019 San Gabriel-E.Gr. Ave.0.256
10.1994/01/17NorthridgeEW90019 San Gabriel-E.Gr. Ave.0.141
11.1999/09/20Chi-Chi, TaiwanNSTAP1030.177
12.1999/09/20Chi-Chi, TaiwanEWTAP1030.122
13.1994/01/17NorthridgeN00590017 LA-Wonderland Ave0.172
14.1994/01/17NorthridgeN17590017 LA-Wonderland Ave0.112
15.1975/06/07Northern CalifN0601249 Cape Mendocino, Petrolia0.115
16.1975/06/07Northern CalifN1501249 Cape Mendocino, Petrolia0.179
17.1986/07/08N. Palm SpringsNS12206 Silent Valley0.139
18.1989/10/18Loma PrietaN20558539 San Francisco0.105
19.1989/10/18Loma PrietaNS47379 Gilroy Array #10.473
20.1989/10/18Loma PrietaEW47379 Gilroy Array #10.411
21.1999/08/17Kocaeli, TurkeyNSGebze0.137
22.1999/08/17Kocaeli, TurkeyEWGebze0.244
23.1992/06/28LandersNS21081 Amboy0.115
24.1992/06/28LandersEW21081 Amboy0.146
25.1999/09/20Chi-Chi, TaiwanN034TCU0460.133
"} {"image_path": "images/eaccd788e1263c0e18fab7a9e9838678.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TMACMode 1Mode 2Mode 3
10$\\xi_m$0.99960.99870.9956
$\\phi_m$1.00001.00000.9995
10.25$\\xi_m$0.99840.99350.9705
$\\phi_m$0.99960.99930.9997
10.5$\\xi_m$0.99480.99070.9848
$\\phi_m$0.99990.99750.9989
10.75$\\xi_m$0.99220.99720.9834
$\\phi_m$1.00000.99930.9950
20$\\xi_m$0.99970.99820.9959
$\\phi_m$1.00001.00000.9997
20.25$\\xi_m$0.99920.99620.9848
$\\phi_m$0.99990.99990.9998
20.5$\\xi_m$0.99760.99400.9907
$\\phi_m$1.00000.99940.9994
20.75$\\xi_m$0.99610.99720.9894
$\\phi_m$1.00000.99990.9984
"} {"image_path": "images/fd1009d65243bdd4e63459b564571ba1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
球 铁 种 类硬 度$ P=0.5时疲劳曲线方程 $失效概率P循环基数$N_{0}$$\\text { 疲劳极限 }\\left(\\sigma_{\\text {lam }}\\right) $$/\\text{MPa}$
铁素体180HBS$ \\sigma_{p}^{14~161}N=5.194\\times 10^{46} $0.50$ 5 \\times 10^7 $569.1
0.01$ 5 \\times 10^7 $536.5
珠光体+铁素体226HBS$ \\sigma_{\\mathrm{H}}^{\\mathrm{H}}{ }~^{394} N=2.242 \\times 10^{31} $0.50 0.01$ 5 \\times 10^7 $657
0.01$ 5 \\times 10^7 $632
珠光体253HBS$ \\sigma_{\\mathrm{H}}^{7~941} N=3.688\\times 10^{30} $0.50$ 5 \\times 10^7 $758
0.01$ 5 \\times 10^7 $715
下贝氏体41HRC$ \\sigma_{I I}^{4~5} N=1.307 \\times 10^{21} $0.50$ 10^7 $1371
0.01$ 10^7 $1235
铁素体 (软渗氮)64HRC$ \\sigma_{\\mathrm{H}}^{20.83} N=2.307\\times 10^{70} $0.50$ 10^7 $1100
0.01$ 10^7 $1060
"} {"image_path": "images/2c42c9a0bf9c49ad1bcd71eb95c50452.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Entry2122Yield $(\\%)$24:25Recovery$(\\%)$
24252122
121a22a24aa 7525aa 791:9
821a22b24aa 7225ab 890:101688
921b22b24ab 8525ab 594:6084
1021c22b24ac 8625ab 494:6093
1121e22b24ae 6825ab 988:122176
1221f22b24af 7225ab 396:41688
"} {"image_path": "images/f0dcb828e1539cf54ca8946449b3c72d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Laser fluence$\\left(\\mathrm{J} / \\mathrm{cm}^{2}\\right)$$2 \\theta(\\mathrm{deg})$hklPlane$d$ observed$(\\mathring{\\mathrm{A}})$$d$ ASTM$(\\mathring{\\mathrm{A}})$FWHM(deg)D (nm)$ \\begin{array}{c}\\delta\\times 10^{14}\\\\\\text{ lin.m}^{-2}\\end{array} $$\\eta \\times 10^{-4}$$lin ^{-2} . \\mathrm{m}^{-4}$
1.3223.32(100)3.813.790.2731.2110.2611.59
26.51(002)3.353.340.25-9.0410.88
41.44(110)2.172.160.284-10.3411.64
1.7623.6(100)3.763.740.1846.844.557.72
26.82(002)3.323.300.16-3.827.08
41.70(110)2.162.150.20-5.388.39
2.1223.77(100)3.783.720.1846.344.657.80
25.29(002)3.513.500.15-3.356.63
41.88(110)2.152.140.16-3.526.79
2.5223.76(100)3.743.720.1650.203.967.20
26.98(002)3.33.280.16-3.736.99
41.87(110)2.152.140.16-3.276.54
2.9223.94(100)3.713.690.1652.723.596.86
25.44(002)3.493.480.16-3.576.84
42.03(110)2.142.130.15-3.156.42
"} {"image_path": "images/53b675ee6b0de1a15bad06f96a49b5ed.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\lambda$0123456799
01.0001.0001.0000.9990.9990.9980.9970.9960.9950.994
100.9920.9910.9890.9870.9850.9830.9810.9780.9760.973
200.9700.9670.9630.9600.9570.9530.9500.9460.9430.939
300.9360.9320.9290.9250.9220.9180.9140.9100.9060.903
400.8990.8950.8910.8870.8820.8780.8740.8700.8650.861
500.8560.8520.8470.8420.8380.8330.8280.8230.8180.813
600.8070.8020.7970.7910.7860.7800.7740.7690.7630.757
700.7510.7450.7390.7320.7260.7200.7140.7070.7010.694
800.6880.6810.6750.6680.6610.6550.6480.6410.6350.628
900.6210.6140.6080.6010.5940.5880.5810.5750.5680.561
1000.5550.5490.5420.5360.5290.5230.5170.5110.5050.499
1100.4930.4870.4810.4750.4700.4640.4580.4530.4470.442
1200.4370.4320.4260.4210.4160.4110.4060.4020.3970.392
1300.3870.3830.3780.3740.3700.3650.3610.3570.3530.349
1400.3450.3410.3370.3330.3290.3260.3220.3180.3150.311
1500.3080.3040.3010.2980.2950.2910.2880.2850.2820.279
1600.2760.2730.2700.2670.2650.2620.2590.2560.2540.251
1700.2490.2460.2440.2410.2390.2360.2340.2320.2290.227
1800.2250.2230.2200.2180.2160.2140.2120.2100.2080.206
1900.2040.2020.2000.1980.1970.1950.1930.1910.1900.188
2000.1860.1840.1830.1810.1800.1780.1760.1750.1730.172
2100.1700.1690.1670.1660.1650.1630.1620.1600.1590.158
2200.1560.1550.1540.1530.1510.1500.1490.1480.1460.145
2300.1440.1430.1420.1410.1400.1380.1370.1360.1350.134
2400.1330.1320.1310.1300.1290.1280.1270.1260.1250.124
2500.123---------
"} {"image_path": "images/45c41ec62e7123e352312a7fb4c8131d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地 区 别总户数(户) 总 人 口 总人口中非农业人口
合 计
资阳区119 497405 535 208 318197 21792 258
赫山区241 714 859 361 444 142415 219 228 417
南县213 925732 819 376003356 816 136 505
桃江县234 431819 605 421 694397 91199 669
安化县263 770951 226495 583455 643127 525
沅江市232 555743 385382 852360 533147 395
郴州市1 304 2944 529 246 2 371 350 2 157 896935 486
市辖区205 298631 463329 564301 899293 703
北湖区100 916293 028152 321140 707155 132
苏仙区104 382338 435177 243161 192138 571
桂阳县219 880781 932411 990369 942120 276
宜章县149 349552 047289 182262 86574 029
永兴县169 236632 746329 291303 455110 697
嘉禾县101 585341 683178 776162 90756 785
临武县90 204308 800161 819146 98154 723
汝城县105 072 355 784 187 492168 29237 164
桂东县48 225169 619 88 54481 07519 372
安仁县107 898394 118 207 149186 96943 613
资兴市107 547361 054 187 543173 511125 124
永州市1 562 1525 566 129 2 911 0172 655 112 842 761
市辖区308 9531 060 320554 153506 167295 690
芝山区154 506574 908 303 821271 087118 088
冷水滩区141 751452 486 233 404219 082152 637
凤凰园经济开发区12 69632 926 16 92815 99824 965
祁阳县294 056935 906 485 511 450 395141 167
东安县157 470587 036 306 515 280 52169 260
双牌县49 771170 91190 99679 91532 239
道县174 302662 341345 306317 03595 921
江永县66 401248 087 127 469 120 61832 752
宁远县194 990735 399395 296340 10359 472
蓝山县93 846345 856180 365165 49133 599
新田县106 655 365 299186 302178 99734 099
江华瑶族自治县115 708454 974239 104215 87048 562
怀化市1 356 299 4 843 5852 517 1672 326 418926 090
市辖区110 924326 468 167 883158 585 217 755
鹤城区110 924326 468 167 883158 585 217 755
中方县70 737258 977 135 541123 43610 532
沅陵县173 499640 445333 143307 302124 736
辰溪县128 248501 036259 141241 89594 887
溆浦县229 135841 765437 520404 24596 086
会同县100 917341 758176 249165 50937 104
麻阳苗族自治县91 380357 131188 027169 104 39 099
新晃侗族自治县69 062249 986134 783115 20332 182
芷江侗族自治县105 144355 171185 508169 66344 822
"} {"image_path": "images/93b4a6304fd6a43f37841efaf6fee3f4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Clay(wt %) CTA(mmol) $\\mathrm{M}_{w}$(g/mol) $\\mathrm{M}_{n}$(g/mol)PDI
PMMA09.997,00054,0001.8
PMMA (no CTA)00855,000243,0003.5
2% C15 (no CTA)2 0807,000239,0003.4
2% C15a29.9803,000220,0003.7
0.25% C15a(no CTA) 0.250783,000329,0002.4
0.25% C15a0.259.9660,000234,0002.8
0.25% C15a(4g of CTA)0.2519.8458,000165,0002.8
"} {"image_path": "images/424cafb150bfa24ff2a96b8df17055b8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SolventDensityd/g $cm^{-3}$Viscosity$_\\eta$/cPDielectricconstant $\\varepsilon$
$C_2H_5OH$0 7791.03024 7
$HCON(CH_3)_2$0.9380.74936 7
$CH_3CN$0 7700.34936 7
$C_2H_5OH$ 80% + dioxane 20%0 8290 86220 4
$C_2H_5OH$ 80% + DMF 20%0 8130 849
1,4-$C_4H_4O_2$1.0221 1012 1
"} {"image_path": "images/f9c65145858ef316208528b1c21b1aa6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
字段名类型(长度)是否为空说明
Dno$\\operatorname{Char}(13)$Not null (key)单号(自动生成)
Qhdw- code$\\operatorname{Char}(13)$Not null求货单位编码
Ywy- codeChar(10)Null业务员编码
Yhqr_ r$\\operatorname{Char}(10)$Null业务经理
Ghssh_ r$\\operatorname{Char}(10)$Null供应商审核人
Zd- rqDatetimeNull制单日期
Sx- rqDatetimeNull生效日期
Sh- rqDatetimeNull要求送货日期
Dh- rqDatetimeNull到货日期
Yx- sjIntNull有效时间
Dd- lxIntNot null订单生成类型
Sp- stateTinyIntNot null货物状态
GhsDeny- causeVarchar(50)Null供应商否认原因
Ywdeny- cause| Varchar(50)Null业务经理否认原因
Dn- stateTinyintNot null订单状态
Mark$V a r c h a r(50)$Null备注
FkfsIntNot null付款方式
"} {"image_path": "images/fd4d27ad5b21ca37c46afd7bf2622948.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Equivalentdensity/barE(3p-1s)/eV$\\Delta E(3p-1s)$
stat/meVsys/meV$\\Delta E_{Ga}$/meV
3.33075.509±28+6-7±27
103075.594±17+7-8±27
17.53075.599±16+6-7±27
Weighted average3075.583±11±7±27
"} {"image_path": "images/2a4b27e3b415dcf9b6ae8d5d4360d0f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年份问 题会前会后百分点差异
2005泽国镇 2004 年的财政收入比 2003年增长多少24.2927.5443.7038.10+19.41+10.56
泽国镇的外来流动人口已超过多少47.9245.2159.0963.64+15.72+13.89
下列的哪个产品不是泽国镇的主要产品60.1443.9452.3166.94+6.80+8.37
目前泽国镇有几个公园7.755.7110.404.48+2.65-1.24
2006泽国镇 2005 年的财政收入比 2004年增长多少4.175.3327.7833.78+23.61+28.45
泽国镇的外来流动人口已超过多少24.2418.4263.5478.08+39.30+59.66
泽国镇的哪家企业是全国第一家股份合作制企业75.6184.3888.5191.55+12.90+7.17
浙江省下列哪个农产品是国家 A级绿色食品、省绿色食品,曾连续三年在省农业博览会上获优质农产品金奖83.1390.7787.9194.74+4.78+3.97
"} {"image_path": "images/3c8f16d2cf1a830072e200f30904555f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$大\\rightarrow小$人口人均 GDP$小\\rightarrow大$人口人均 GDP
县市万人县市县市万人县市
+1沭阳170太仓34 790-1扬中 28睢宁2 917
+2邳州156昆山33 936-2江浦 30灌南3 158
+3兴化155张家港31 594-3金湖 36泗阳3 354
+4如皋146锡山30 392-4丹徒 37沭阳3 643
+5通州144江阴28 552-5洪泽 38丰县3 663
"} {"image_path": "images/912452c3003b42cf83e2da2178c10bea.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Answer the following based oninteractions with the child over thecourse of the shiftNever4Rarely3Sometimes2Often1Always0
1. Does the child make eye contactwith the caregiver?
2. Are the child's actions purposeful?
3. Is the child aware of his/hersurroundings?
4. Does the child communicate needsand wants?
Never0Rarely1Sometimes2Often3Always4
5. Is the child restless?
6. Is the child inconsolable?
7. Is the child underactive – very littlemovement while awake?
8. Does it take the child a long time torespond to interactions?
"} {"image_path": "images/083f3dd2493d36ac1f49f6d74a4c21aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableTime 1Time 2Time 3ICC
MSDAlphaM SDAlphaMSDAlpha
Subjective vitality4.961.150.885.00 1.140.835.091.230.860.57
Self-efficacy stereotype5.660.990.785.511.030.855.440.960.790.65
Benefits of physical activity stereotype6.310.680.80 6.230.770.916.170.850.850.58
Risks of physical activity stereotype2.491.170.832.311.020.782.361.220.750.57
Self-perceptions of aging5.031.290.905.001.240.845.081.240.760.61
Autonomous motivation6.480.650.826.430.650.77 6.330.750.790.59
Controlled motivation2.741.620.792.841.270.822.371.160.750.69
Physical self-worth4.850.980.784.460.630.86 4.670.820.760.75
Perceived loneliness5.321.070.875.151.070.895.031.290.870.80
Self-rated health4.650.0714.610.584.590.820.68
Level of general physical activity18.982.9119.172.4618.772.790.57
"} {"image_path": "images/c47a9c5e6c048a524e33e0dda0e3fc68.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CountryNVAR-lagRootLMtest P-valueJarque-Bera, p-values
RewOilGDPInterestJoint
Norway5510.2210.9670.2670.0000.8260.0010.000
UK5510.1550.4240.0000.0500.0020.8350.000
USA5540.5770.7600.5850.9890.0150.9170.203
"} {"image_path": "images/d01e1691ee0b9493ca04ed74a2c83b16.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Com-poundFormulaYield%m.p., °CCrystn.solvent(s)$\\delta~(\\mathrm{ppm})$J (Hz)
$\\mathrm{H}^{\\mathrm{a}}, \\mathrm{H}^{\\mathrm{b}}, \\mathrm{H}^{\\mathrm{m}}$$\\mathrm{H}^{\\mathrm{x}}$$\\mathrm{N}\\left(\\mathrm{CH}_{3}\\right)_{2}$Aromaticprotons Otherprotonsmx
7a$\\mathrm{C}_{43} \\mathrm{H}_{48} \\mathrm{~N}_{4} \\mathrm{O}$85251-253b$\\begin{array}{l}\\mathrm{H}^{\\mathrm{a}} \\ 2.27\\\\\\mathrm{H}^{\\mathrm{b}} \\ 2.70\\\\\\mathrm{H}^{\\mathrm{m}} \\ 3.62\\end{array}$5.942.89, 2.84,2.92, 3.00-ab-13am 13bm 610
7b$\\mathrm{C}_{43} \\mathrm{H}_{47} \\mathrm{~N}_{5} \\mathrm{O}_{3}$97225-227c3.4-4.1broad5.852.84, 2.86,2.90, 2.96$\\mathrm{H}^{5}: 8.05 \\ (\\mathrm{q})$$\\mathrm{H}^{7}: 7.97 \\ (\\mathrm{d})$--9.5
7c$\\mathrm{C}_{44}\\mathrm{H}_{50}\\mathrm{~N}_{4}\\mathrm{O}_{2}$ 87238-239d3.4-4.0broad5.922.82, 2.85,2.88, 2.97$OCH_3$3.65-9.5
7d$\\mathrm{C}_{43} \\mathrm{H}_{47} \\mathrm{~N}_{5} \\mathrm{O}_{3}$97204-205d3.5-4.2broad5.852.80, 2.85,2.90, 2.99$\\mathrm{H}^{7}: 7.62(\\mathrm{q})$--9.5
7e$\\mathrm{C}_{43} \\mathrm{H}_{46} \\mathrm{BrN}_{5} \\mathrm{O}_{3}$89206-207d3.5-4.2broad5.832.85, 2.90,2.95, 3.02$\\mathrm{H}^{5}: 7.99(\\mathrm{q})$$\\mathrm{H}^{7}: 8.27(\\mathrm{d})$--9.5
7f$\\mathrm{C}_{47} \\mathrm{H}_{50} \\mathrm{N}_{4}\\mathrm{O}$65269-270d3.7-4.2broad5.812.78, 2.85,2.85, 3.00--9.5
"} {"image_path": "images/0b418d6932eb73a9a0e08576f5079bb3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Gd(1)-O(1)2,388(3)Gd(2)-O(12)2,340(3)
Gd(1)-O(3)2,341(3)Gd(2)-O(14)2,348(3)
Gd(1)-O(5)2,492(3)Gd(2)-O(16)2,459(3)
Gd(1)-O(7)2,371(3)Gd(2)-O(18)2,378(3)
Gd(1)-O(9)w2,423(4)Gd(2)-O(20)2,403(3)
Gd(1)-O(11)2,381(3)Gd(2)-O(23)w2,418(4)
Gd(1)-N(1)2,788(4)Gd(2)-N(4)2,781(4)
Gd(1)-N(2)2,649(4)Gd(2)-N(5)2,682(4)
Gd(1)-N(3)2,646(4)Gd(2)-N(6)2,672(4)
O(1)-C(6)1,251(6)O(12)-C(20)1,251(6)
O(2)-C(6)1,250(6)0(13)-C(20)1,254(6)
O(3)-C(8)1,267(6)O(14)-C(22)1,274(6)
O(4)-C(8)1,238(6)O(15)-C(22)1,228(6)
O(5)-C(10)1,237(6)O(16)-C(24)1,231(6)
O(6)-C(10)1,305(6)O(17)-C(24)1,292(6)
O(7)-C(12)1,277(6)O(18)-C(26)1,262(6)
O(8)-C(12)1,239(6)O(19)-C(26)1,236(6)
O(10)-C(14)1,219(7)O(20)-C(28)1,265(6)
O(11)-C(14)1,277(6)O(21)-C(28)1,240(6)
O(1)-C(6)-O(2)121,7(5)O(12)-C(20)-O(13)123,9(5)
O(3)-C(8)-O(4)122,9(5)O(14)-C(22)-O(15)124,9(6)
O(5)-C(10)-O(6)124,2(5)O(16)-C(24)-O(17)124,3(5)
O(7)-C(12)-O(8)124,3(4)O(18)-C(26)-O(19)124,1(5)
O(10)-C(14)-O(11)124,9(6)O(20)-C(28)-O(21)124,1(5)
"} {"image_path": "images/12b6e3ee2ad899618feb039cd7661ba3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
作者及年份文题期刊来源集中度指标关系方向
1.白积洋(2012)我国上市商业银行治理结构、市场竞争与经营绩效的实证检验《金融发展研究》CR1
2.曹廷求等(2005)治理机制、高管特征与农村信用社经营绩效《南开管理评论》CR1/CR10不显著
3.曹廷求等(2012)城市商业银行治理有效性的实证研究《金融论坛》CR1
4.陈纯(2013)中国商业银行公司治理成效问题研究《当代经济》CR1
5.陈峰(2011)上市商业银行高管薪酬与银行绩效的实证分析《统计与决策》CR5正/负
6.陈科等(2008)战略投资者、公司治理与银行绩效《金融论坛》CR10
7.傅勇等(2011)我国中小银行经营绩效及其影响因素研究《国际金融研究》CR10不显著
8.高正平等(2010)我国商业银行股权结构对银行绩效影响的实证分析《中央财经大学学报》HI5不显著
9.何婧(2014)中小银行经营绩效影响因素的实证研究《财经理论与实践》CR10
10.金成晓等(2006)我国商业银行业公司治理结构与经营绩效的实证研究《税务与经济》CR1
HI5
11.李洁等(2009)我国商业银行高管薪酬与综合绩效关系的实证研究《上海金融》HI5
12.李堪(2013)商业银行公司治理与经营绩效的实证分析《金融论坛》CR1不显著
CR10
13.李维安等(2004)股权结构、治理机制与城市银行绩效《经济研究》CR1/CR10
14.李喜梅(2011)“三性”原则下中国上市商业银行资本结构与绩效关系研究《管理世界》CR1/CR5不显著
15.林璇等(2010)我国上市商业银行公司治理结构与银行绩效实证分析《时代金融》CR1
CR5
16.林煜恩等(2014)银行持股行为对风险与绩效的影响《金融论坛》CR10不显著
17.庙久芝等(2011)商业银行资本结构与经营绩效关系的实证研究《金融发展研究》CR1
CR5正/负
18.宋增基等(2007)中国上市银行独立董事制度的运行效率《金融论坛》CR1
19.宋增基等(2008)中国上市银行 CEO 报酬与银行绩效的关系《金融论坛》CR1不显著
20.孙月静(2006)股份制商业银行公司治理绩效的实证分析《财经问题研究》CR1/CR5
21.谭兴民等(2010)中国上市银行股权结构与经营绩效的实证分析《金融研究》CR1
CR5
22.谭燕芝等(2012)高管薪酬、股权结构、董事会特征与商业银行经营效率《经济经纬》CR1/CR5/CR10
23.王朝弟(2007)中小商业银行公司治理机制与经营绩效关系的实证分析《南开管理评论》CR1
24.王丽等(2005)股权结构与中国股份制商业银行绩效的实证研究《生产力研究》CR1/CR10不显著
25.王擎等(2012)股权结构、金融生态与城市商业银行绩效《投资研究》CR1/CR10不显著
26.魏华等(2005)商业银行内部治理机制及其对银行绩效的影响《南开学报》CR1/CR10
27.席艳玲等(2012)董事会特征、公司治理与银行绩效《现代管理科学》CR5
28.谢朝华等(2011)我国商业银行的X一效率及其影响因素的实证研究《财经理论与实践》CR1不显著
29.杨德勇等(2007)中国上市银行股权结构与绩效的实证研究《金融研究》CR1
CR5
CR10
30.杨帆等(2012)商业银行股权结构与经营绩效《哈尔滨商业大学学报》CR1不显著
CR5
31.杨跃等(2010)境外战略投资者对我国商业银行绩效影响及作用机制研究《现代管理科学》H15不显著
32.于忠涛等(2009)商业银行股权结构与治理绩效分析《金融纵横》CR5
HI5
33.张志亮等(2007)商业银行股权集中度与经营绩效关系的实证研究《时代金融》CR1
"} {"image_path": "images/1acaa2bc8869d2af074ab9b3145ae439.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\sigma$$\\pi_x$$\\pi_y$
678123123
1212222
221211211
311121122
411122211
5212222
6212222
7122222
81222211
91221122
1021122211
"} {"image_path": "images/1db146e0bb1dec84787f5108b38b58b5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LineReplicateSFemalesMales
$h^2$SE$h^2$SE
Both up10.02600.1360.0250.1330.025
20.02540.1580.0270.1480.027
Average0.1470.0110.1410.008
Both down1-0.02300.0870.0230.0630.020
2 -0.02340.1740.0310.1670.030
Average0.1310.0440.1150.052
Females up10.01200.1070.048
20.01280.1290.049
Average0.1180.011
Females down1-0.01220.2120.060
2-0.01440.1630.049
Average0.1880.025
Males up10.01280.1620.055
20.01100.1050.052
Average0.1340.029
Males down1-0.01300.1450.051
2-0.01300.1330.049
Average0.1390.006
"} {"image_path": "images/719672515e7d222477af62c5f5efaf41.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaterialObjective function$K_{If}$$(MPa \\cdot m^{1 / 2})$ $c_f$(mm) $\\omega_\\tau$(%) $\\omega_{K}$(%)$\\omega_{K_{If}}$(%) $\\omega_{cf}$(%)
$SiO_2$$\\tau_N, Eq. (5)$0.710.6112.110.6
$K_{Ic},Eq.(15)$0.680.4512.210.4
$1/\\tau_N^2, Eq. (17)$0.630.1213.811.54.1200
$1/K_{Ic}^2,Eq.(18)$0.700.6312.310.78.942.0
SiC CN-137$\\tau_N$9.6421.3313.916.1
$K_{Ic}$8.4815.8114.016.1
$1/\\tau_N^2$7.6113.0414.316.549.6102
$1/K_{Ic}^2$11.7134.7114.216.3178360
SiC CN-163$\\tau_N$2.331.365.34.7
$K_{Ic}$2.291.265.34.7
$1/\\tau_N^2$2.261.185.44.73.721.1
$1/K_{Ic}^2$2.331.395.34.77.023.0
"} {"image_path": "images/03871350f243ba96016d9b172963a1da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Depth (cm)$pH_{w}$Exchangeable $\\left(\\mathrm{cmol}_{\\mathrm{c}} / \\mathrm{kg}\\right)^{\\mathrm{a}}$BS $(\\%)^{b}$ Ext. $P^{c}~(\\mu g/ g)$
CaMgKNaCEC
Means
0-104.100.390.260.110.0516.45.69.08 (4.41)
10-304.250.290.190.070.0413.54.95.50 (1.73)
50-754.380.180.140.050.0313.310.02.95 (0.69)
100-1504.510.210.160.050.0412.611.2 1.34 (0.54)
Coefficients of variation (%)
0-106.8148.390.4 68.437.1 40.3 88.1241.6
10-305.9202.8127.979.541.334.894.3341.5
50-754.8113.197.0120.938.1 50.9254.4374.4
100-1504.1116.2119.3106.147.4 61.2231.0 215.7
"} {"image_path": "images/ebb58d5326a1c1861d7382a82d1fd3a7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\rho=124,0\\:moles/m^3$
T$\\Delta T $T$\\Delta T $T$\\Delta T $T$\\Delta T $
2,3676-0,437,58720,3714,53230,1122,09290,29
4,18190,209,60820,1714,53270,0322,09350,15
4,18420,699,60830,1316,55490,2924,60820,38
4,18480,659,60860,1116,55680,2825,99500,38
6,02980,089,60840,1118,28190,3325,99360,20
6,02960,2211,1590-0,1018,28240,1327,16930,12
7,55110,3011,1601-0,0820,28440,1327,1721-0,54
7,58590,3212,5551-0,0720,2856-0,0227,1649-0,31
7,58650,2012,55580,0820,1245-0,1427,1681-0,34
"} {"image_path": "images/ccfd1376d93ee77ca21b17900f05599a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Number of $\\mathrm{CO}_2$Number of $\\mathrm{H}_2 \\mathrm{O}$Temperatured-spacingShort-name
10 (0.331)160 (5)313.1512.50C1
16 (0.5)160 (5)313.1512.70C2
32 (1)160 (5)313.1513.50C3
48 (1.5)160 (5)313.1514.00C4
64 (2)160 (5)313.1514.50C5
80 (2.5)160 (5)313.1514.75C6
64 (2)32 (1)313.1511.90H1
64 (2)96 (3)313.1513.00H3
64 (2)160 (5)313.1514.50H5
64 (2)224 (7)313.1515.50H7
64 (2)288 (9)313.1517.25H9
32 (1)128 (4)273.1512.50T1
32 (1)128 (4)313.1512.50T2
32 (1)128 (4)353.1512.50T3
32 (1)128 (4)393.1512.50T4
32 (1)128 (4)433.1512.50T5
"} {"image_path": "images/a84c0875343fcc962e0a81b4928a3e27.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SRB, lactation no.SLB, lactation no.
123≥4$\\text{Total}^a$123≥4$\\text{Total}^a$
Number ofrecords23 54815 37010 48515 94565 3488 9305 9823 6133 88722 412
sires1056144341495132231964
cows2 6731 9241 3101 1964 4441 0347444623141 527
"} {"image_path": "images/914ef3a925b079467a61ee951b306a20.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Case 1Case 2Case 3Case 4Case 5
$Y_{s}$0.05 ft$Y_{s}$0.1 ft$Y_{s}$0.05 ft$Y_{s}$0.025 ft$k_{F3}$100 md
$X_{F1}$10 ft$X_{F1}$5 ft$X_{F1}$10 ft$X_{F1}$20 ft$X_{F2}$250 ft
$K_{F1}$398 md$K_{F1}$398 md$K_{F1}$792.08 md$K_{F1}$ 792.08~md
$K_{s}$ $0.0476 k_{m}$ $K_{F1}$ $0.0476 k_{m}$ $k_{s}$ $0.0244 k_{m}$ $K_{s}$$0.0476k_m$
$S_{total}$0.0294$S_{total}$0.0294$S_{total}$0.0294$S_{total}$0.0294
$R_{ck}$0.667$R_{ck}$0.333$R_{ck}$0.333$R_{ck}$0.667
$R_{ff}$0.333$R_{ff}$0.667$R_{ff}$0.667$R_{ff}$0.333
"} {"image_path": "images/14a5188fa708c1bc4960006fa12817af.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
v$\\alpha$v$\\alpha$
0.10.020.050.010.10.020.050.01
12.715.413.846.641623.5429.6326.3032.00
24.617.825.999.211724.7731.0027.5933.41
36.259.847.8211.341825.9932.3528.8734.81
47.7811.679.4913.281927.2033.6930.1436.19
59.2413.3911.0715.092028.4135.0231.4137.57
610.6115.0312.5916.812129.6236.3432.6738.93
712.0216.6214.0718.482230.8137.6633.9240.29
813.3618.1715.5120.092332.0038.9735.1741.64
914.6819.6816.9221.672433.2040.2736.4242.98
1015.9921.1618.3123.212534.3841.5737.6544.31
1117.2822.6219.6824.732635.5642.8638.8945.64
1218.5524.0521.0326.222736.7144.1440.1146.96
1319.8125.4722.3627.692837.9245.4241.3448.28
1420.0626.8723.6929.142939.0946.7042.5649.59
1522.3128.2625.0030.583040.2647.9643.7750.89
"} {"image_path": "images/c8bc96dd0c185910841d0e4924b20856.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Days after sowingAmount of water applied(mm)
Stressed plotNon-stressed plot
0024.024.0
0418.018.0
0618.018.0
1018.018.0
1418.018.0
1718.118.0
2223.223.6
2719.319.3
3223.719.4
3731.031.0
4127.118.4
4527.020.7
4815.415.9
5324.0
5836.323.9
6240.0
6740.037.8
7240.0
7640.040.0
8040.3
8334.9
8640.040.0
9035.0
9433.0
9720.0
Total amount(mm)437.1671.2
Number of irrigations1725
"} {"image_path": "images/23ab0fad0fff570cd601bc91707635a1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Type of adsorbentDye concentration $\\left(\\mathrm{mol} \\mathrm{L}^{-1}\\right)$Wt. of adsorbent (g)Time (min)% adsorbedRef.
For thionine
Flyash$ 1 \\times 10^{-5}-5 \\times 10^{-4} $0.5-210-6087.9-4.9${\\color{Blue} {[52]}} $
Flyash and sun light$1 \\times 10^{-5}$0.124061${\\color{Blue} {[52]}} $
AAm/AMPS and AAm/AMPS/bentonite hydrogels ${ }^{*}$$0.87 \\times 10^{-5}-2.60 \\times 10^{-5}$0.18-0.3Very long22.15-62.79${\\color{Blue} {[53]}} $
$ \\text{AIMCM-41} $$ 1 \\times 10^{-5} $0.136023${\\color{Blue} {[54]}} $
Mesoperous Ti films-Uv radiation$2.09 \\times 10^{-3}$NA**>10NA${\\color{Blue} {[55]}} $
Supported transition metal complexes-UV radiation$ 2\\times 10^{-5}-2\\times 10^{-4} $1.01890${\\color{Blue} {[42]}} $
Trisyl silicas$ 1 \\times 10^{-6} - 5 \\times 10^{-5} $1.0288085${\\color{Blue} {[56]}} $
For brilliant cresyl blue
Acrylamide/maleic acid hydrogels + irradiation$ 2.6\\times 10^{-5}-1.3\\times 10^{-4} $0.11440NA${\\color{Blue} {[33]}} $
Sulfonated phenol-formaldehyde resin$ 1.3\\times 10^{-4}-1.3\\times 10^{-3} $0.2360NA${\\color{Blue} {[41]}} $
Magnetic multi-wall carbon nanotube nanocomposite$ 3.6\\times 10^{-6}-9.3\\times 10^{-5} $0.536098.8${\\color{Blue} {[57]}} $
Acrylic acid/acrylamidopropane sulfonic acid hydrogels$ 2.5\\times 10^{-4}-1.2\\times 10^{-3} $0.052880NA${\\color{Blue} {[58]}} $
Peanut hull$ 2.4\\times 10^{-4}-5.0\\times 10^{-4} $0.2144090${\\color{Blue} {[59]}} $
Trisyl silicas$ 7\\times 10^{-5} $1.02880>90${\\color{Blue} {[56]}} $
For janus green
Acrylamide $\\pm$ acrylic acid hydrogels$ 1.2\\times 10^{-4}-2.2\\times 10^{-4} $NA2880NA${\\color{Blue} {[60]}} $
Trisyl silicas$1.6 \\times 10^{-5}$1.02880100${\\color{Blue} {[56]}} $
"} {"image_path": "images/be21c3a1b26bbcb8f86bce6da3b21e8d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cross10%Yield margin15%20%
ProbabilityFrequencyProbabilityFrequencyProbabilityFrequency
Banks/SUN27B0·03520·01610·0070
Hartog/Vulcan0·07270·03630·0161
Hartog/72W141780·02510·00900·0030
Veery'S'/Sunstar0·00900·00300·0010
Comet0·05460·02620·0111
"} {"image_path": "images/bec26ac88c20547d40ac3a07d8a6eb5e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Catalyst$r·10^8,$$mol·s^{~1}·g^{~1}$Selectivity, %$E, kJ·mol^{-1}$(923-1023 K)$\\ln~ r_0$
$\\mathrm{C}_2\\mathrm{H}_4$$\\mathrm{C}_2\\mathrm{H}_6$$C_2^+$$\\text{C}_{3}^{+}$$\\mathrm{C}_2\\mathrm{H}_6$
ZVM*3.733.366.710074-8.88
Fe/ZVM3.654.639.093.66.4111-4.14
Co/ZVM11.590.19.099.10.988-5.91
Ni/ZVM1.780.020.0100144-0.73
Pt/ZVM0.546.853.210043-14.2
Rh/ZVM0.337.562.510088-9.20
Pd/ZVM0.530.360.690.99.1Not determined
Mo/ZVM20.886.28.094.25.81643.26
W/ZVM4.265.624.690.29.8115-3.52
Cu/ZVM16.680.713.994.65.422010.6
Zn/ZVM0.0483.316.7100Not determined
No catalyst0.6**37.358.796.04.0
"} {"image_path": "images/8bd50fe2b299889c5fdda3029527ad37.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
BaselineMergerGap Plans PolicyTwo Plan Maximum
Consumer surplus
Surplus1,980,343,388.681,945,955,388.241,866,531,012.441,676,575,822.91
Diff.from baseline-1.73%-5.75%-15.34%
Diff.from baseline-premiumfixed-5.12%-1.83%
Diff.from baseline-due tonew eqm. premia-0.63%-13.51%
Producer surplus
Surplus1,277,592,635.181,292,299,536.111,242,258,114.461,132,617,178.45
Diff.from baseline-1.15%-2.76%-11.34%
Diff. from baseline-premiumfixed-3.20%-23.36%
Diff.from baseline-due tonew eqm. premia+0.43%+12.02%
Enrollment11,838,06911,686,95611,485,34510,452,922
Premium effects
Avg. nongap premium36.2036.49
Avg. premium enhanced39.6040.23
Avg. premium nonenhanced34.1834.27
Avg.premium38.4640.58
Avg. premium merging firms33.4335.02
Avg. premium nonmergingfirms39.2639.64
"} {"image_path": "images/64137ccca0bf3a58df75cf1b1c69be55.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指 标Item全国Total
工业Industry
主要产品产量Output of Major Industrial Products
Cloth23.6
发电量Electricity14.6
水泥Cement15.7
彩色电视机Color Television Sets1.1
微型电子计算机Micro-Computers15.5
交通运输Transportation
客运量Passenger Traffic9.6
货运量Freight Traffic9.4
旅客周转量Passenger-Kilometers9.9
货物周转量Freight Ton-Kilometers10.8
邮电通信业Post and Telecommunications
邮政业务总量Business Volume of Post16.8
电信业务总量Business Volume of Telecommunications28.0
国内商业Domestic Trade
社会消费品零售总额Total Retail Sales of Consumer Goods13.7
教育、科技Education, Science and Technology
普通高等学校在校学生数Number of Students Enrollment in Regular Institutions of Higher Education11.3
卫生Health Care
卫生机构数Health Institutions3.3
卫生机构床位数Number of Hospital Beds4.3
卫生机构人员数Number of Employed Personnel in Health Institutions3.6
人民生活People's Livelihood
城镇居民人均可支配收入Per Capita Annual Disposable Income of Urban Households10.4
农村居民人均纯收入Per Capita Net Income of Rural Residents7.4
环境、灾害Environment and Disaster
工业废水排放达标量Industrial Waste Water Meeting Discharge Standards-1.8
工业二氧化硫去除量Volume of Industry Sulphur Dioxide Removed32.0
环境噪声达标面积Area of Environmental Noise Meeting National Standard16.0
交通事故发生数Number of Traffic Accidents-15.9
交通事故死亡人数Number of Deaths-9.4
"} {"image_path": "images/2f9b9a6382937ee6b83058a0aa561137.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PeakNo.mg/100g
DominicaMexicoPeruHaiti
1Bergamottin 231500156016001530
25-Geranyloxy-7-methoxycoumarin (10)1770187018401960
35-Geranyloxy-8-methoxypsoralen (24)330360450440
45-Isopentenyloxy-7-methoxycoumarin (9)13171316
55-Isopentenyloxy-8-methoxypsoralen (20)6011011070
6Citropten (8)440650670440
78-Geranyloxypsoralen(14)160220350330
8Herniarin (1)39037050180
9Bergapten (15)200240120180
10Isopimpinellin (16)360570300440
11Oxypeucedanin(22)430290210270
12Isobyakangelicol (2)40462728
13Byakangel d (18) + Heraclenin (3)100886666
"} {"image_path": "images/31411080b199aad9217cd09eaa1c7e27.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机 械 名 称平均台数制度台日 数完好台 日 ( 台 日 )完 好 率( % )
计 划实 际完 成 %计 划实 际差 异
挖 土 机2612520527101.3585861
推 土 机261252050296.548582-3
塔式起重机61 8361 6531 59794.439087-3
混凝土搅拌机154 5904 1314 177101.119091.1
合 计257 6506 8246 80399.6989.2088.93-0.27
"} {"image_path": "images/b994b05706692b2cde957c7c877999de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Ionj${ }^2D_{3/ 2}$${ }^2D_{5/ 2}$${ }^4S$
$S~{}_{II}$${ }^2 P_{1/ 2}$0·3190·1380·542
${ }^2 P_{3 / 2}$0·1370·1690·694
$Cl~{}_{III}$${ }^2 P_{1 / 2}$0·2510·0770·672
${ }^2 P_{3/ 2}$0·1230·1130·764
$Ar~{}_{IV}$${ }^2 P_{1 / 2}$0·2090·0370·754
${ }^2 P_{3/ 2}$0·1140·0830·803
$K~{}_{V}$${ }^2 P_{1 / 2}$0·1940·0240·782
${ }^2 P_{3/ 2}$0·1150·0740·811
$O~{}_{II}$${ }^2 P_{1 / 2}$0·4320·2630·305
${ }^2 P_{3/ 2}$0·1720·3250·502
"} {"image_path": "images/84e905542c49ed48dd6a11cf5c5d6715.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A:TAu/A:TSWCNT/Au/A:T
SWCNT (8,0) complexSWCNT (5,5) complex
Distance($\\mathring{\\mathrm{A}}$)
r(N1-N3)2.822.842.862.85
r(N1-H3)1.751.781.811.80
r(N3-H3) $1.06 \\ (1.02)^{\\mathrm{a}}$ 1.061.051.06
r(O4-N6)2.882.872.832.84
$r\\left(\\mathrm{O} 4-\\mathrm{H}6^{\\prime}\\right)$1.851.841.791.80
$r\\left(\\mathrm{N} 6-\\mathrm{H} 6^{\\prime}\\right)$1.031.031.041.04
Angle $\\left({ }^{\\circ}\\right)$
$\\angle(\\mathrm{N} 1 \\mathrm{H} 3 \\mathrm{N} 3)$179.6179.3178.1178.6
$\\angle\\left(\\mathrm{O4H} 6' \\mathrm{N} 6\\right)$174.7176.1177.7177.0
Mulliken charge (au.)
N1-0.207-0.200-0.205-0.199
N6-0.199-0.209-0.208-0.210
H6'0.1800.1840.1880.190
H6\"0.1500.1670.1810.178
O4 $-0.354 \\ (-0.290)^{a}$ -0.352-0.346-0.347
N3$-0.076 \\ (-0.050)^{\\mathrm{a}}$-0.078-0.076-0.066
H3$ 0.153 \\ (0.141)^{\\mathrm{a}} $0.1490.1570.148
NPA charge (au.)
N1-0.553-0.539-0.539-0.539
N6-0.721-0.714-0.701-0.703
H6'0.4290.4340.4340.434
H6\"0.3980.4020.4010.402
O4$ -0.618 \\ (-0.558)^{b} $-0.609-0.615-0.615
N3$-0.590 \\ (-0.589)^{b}$-0.574-0.588-0.589
H3$ 0.445 \\ (0.483)^{\\mathrm{b}} $0.4440.4460.446
$E_{\\mathrm{b}} \\ (\\mathrm{A}: \\mathrm{T}) \\ (\\mathrm{kcal} / \\mathrm{mol})$16.415.815.516.0
"} {"image_path": "images/1e788b3732b34b543ef39a1675b8f42f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
元 素FeSiCuMgZnGa
三层液电解法提纯铝1252<1<1
分步结晶法原 铝2703205055
提纯铝15202530
单向凝固法原 铝800600
提纯铝5090
"} {"image_path": "images/162cb6a0af5ad068db973bb27a414af7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Mod.No. $y_2$(m) $y_3$(m) $b_1$(m) $b_2$(m) $b_3$(m) D(m)$\\Theta_{1}$$\\Theta_{2}$
10.120.110.880.190.150.146030
20.090.140.760.360.180.144545
30.080.150.610.380.20.143060
40.070.160.580.430.220.142070
50.060.170.530.460.260.141080
60.120.10.880.190.150.166030
70.090.130.760.360.180.164545
80.080.140.610.380.20.163060
90.070.150.580.430.220.162070
100.060.160.530.460.260.161080
110.120.080.880.190.150.26030
120.090.110.760.360.180.24545
130.080.120.610.380.20.23060
140.070.130.580.430.220.22070
150.060.140.530.460.260.21080
"} {"image_path": "images/b93795324d6fddbc040dff82c820b63f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nuclear reactionThresholdenergy(MeV)Half-life,${T}_{1 / 2}({h})$Main $\\gamma$-rayenergy, $E_{\\gamma}(keV)$$\\gamma$-rayintensity,$(\\%)$
${ }^{45}Sc(\\gamma, {n})^{44g}Sc$11.323.9271157.03*99.9
1499.430.912
2144.200.0069
${ }^{45}Sc(\\gamma, {n})^{44m}Sc$11.6058.6271.13*86.7
1001.851.2
1126.081.2
1157.031.2
${ }^{nat }Ti(\\gamma, {xn1p})^{44g}Sc$41.183.9271157.03*99.9
1499.430.912
2144.200.0069
${ }^{nat }Ti(\\gamma, {xn1p})^{44m}Sc$41.4558.6271.13*86.7
1001.851.2
1126.081.2
1157.031.2
${ }^{nat }Fe(\\gamma, {xn5p})^{44g}Sc$114.893.9271157.03*99.9
1499.430.912
2144.200.0069
${ }^{nat } Fe(\\gamma,{xn5p})^{44m}Sc$115.1658.6271.13*86.7
1001.851.2
1126.081.2
1157.031.2
${ }^{nat }Cu(\\gamma, {xn8p})^{44g} Sc$180.633.9271157.03*99.9
1499.430.912
2144.200.0069
${ }^{nat }Cu(\\gamma, {xn8p})^{44 {m}}Sc$180.9058.6271.13*86.7
1001.851.2
1126.081.2
1157.031.2
"} {"image_path": "images/a9b18d6e084e5bd4a8d5ed8c0c2a75a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GlassComposition (wt.%)Atomic fraction/unit oxygenOxygendensity
$Na_2O$CaO$SiO_2$NaCaSi(g·atom/cc)
A21.07.072.00.2370.0440.4190.0715
B11.017.072.00.1230.1050.4170.0734
C16.012.072.00.1800.0750.4180.0723
D16.07.077.00.1750.0420.4350.0722
E16.017.067.00.1850.1090.4000.0721
"} {"image_path": "images/624e8e5a3d9ccf641ce793f08b119fa0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MMM
$\\text{I00}$I.043800I.0I54000I.007
200I.030I200I.0I28000I.005
300I.025I600I.0I020000I.003
400I.02I2000I.00940000I.002
"} {"image_path": "images/81d94d88e7b07674f780b9647d808a56.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaximaMediaMinima
Satorni221870209836197802
Jovis119900114400108900
Martls0366303352830426
Terrae223742200021626
Veneris 0160161590615796
Mercurii01027485146754
Luna 628554
"} {"image_path": "images/311aff4325e2783067164553a9592fd0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Three bodyFour body
Tab$(\\sigma)$abc$(\\sigma)$
Benzene + benzonitrile
$\\eta\\,\\mathrm{m}$ Pa.s298.150.72331.08220.02010.62201.17170.93150.0103
303.150.73080.93790.02100.61951.08810.82860.0095
308.150.74290.94210.01650.69560.85880.97690.0160
313.150.71260.94260.01430.64090.90860.93020.0119
Benzene + chlorobenzene
$\\eta\\,\\mathrm{m}$ Pa.s298.150.76350.05640.03700.40470.74130.04520.0282
303.150.24520.00300.12170.48790.59180.05190.0324
308.150.94040.05440.03410.58930.47630.06090.0371
313.151.02550.05180.03630.68190.39820.06590.0399
Benzene + benzyl chloride
$\\eta\\,\\mathrm{m}$ Pa.s298.150.72770.98490.00970.74670.76851.05990.0079
303.150.68000.99730.01210.69980.74511.07150.0108
308.150.64381.04430.02490.70280.64871.21180.0203
313.150.54181.76720.05760.82360.40272.46980.0228
Benzene + benzyl alcohol
$\\eta\\,\\mathrm{m}$ Pa.s298.156.40703.14270.11064.34643.13814.33650.0423
303.156.18513.12740.12533.89743.53703.93790.0889
308.155.94392.83100.27214.43442.28994.60030.2037
313.156.47062.92500.20404.10203.17023.96670.1567
"} {"image_path": "images/3687a61460f057029c2ff572f131aaf8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
QuantityRelite MG1Relite MG1/P
IIII'II' I\" II\"III I'II'I\"II\"
$\\log K_0$19.4919.69 17.9918.217.7717.9319.5419.7818.4118.3318.3218.14
$S(K_0)/K_0$0.150.160.410.69 0.420.570.30.330.590.760.660.83
$\\log K_1$17.4317.516.5616.6416.3616.3517.4717.5417.0417.1116.9516.97
$S(K_1)/K_1$0.290.150.390.380.450.330.540.290.560.370.640.44
$\\log K_2$15.5615.1915.1214.8615.0314.7116.1815.8515.9713.6515.9513.56
$S(K_2)/K_2$0.250.290.220.270.240.290.510.630.530.930.570.91
$\\log K_{\\text{pair}}$----20.4420.39----21.3820.97
$S(K_{\\text{pair}})/K_{\\text{pair}}$----0.330.3----1.110.81
$\\log K_{\\text{strong}}$--20.7420.74----21.6421.39--
$S(K_{\\text{strong}})/K_{\\text{strong}}$--0.320.39----0.930.79--
$\\chi^2 \\times 10^5$574020191913205116124116125102
g--0.220.210.270.27--0.140.170.160.21
S(g)--0.0240.0360.0270.03--0.0330.0370.0430.047
"} {"image_path": "images/6312025fb84763867518e76bfbdabfd4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NucleusExpt.TRM
$\\mu(2_{1}^{+})$$\\mu(2_{2}^{+})$$\\frac{\\mu(2_2^+)}{\\mu(2_1^+)}$$\\mu(2_{1}^{+})$$\\mu(2_{2}^{+})$
${}^{80}Kr$+0.76(10)+1.3(7)1.7(9)
${}^{86}{Sr}$+0.57(3)+0.8(3)1.4(5)
${}^{82}{Zr}$-0.360(20)+1.5(10)-4(3)
${}^{132}{Xe}$+0.651(24)+0.2(4)0.3(6)
${}^{150}{Sm}$+0.77(5)+0.72(17)0.9(2)0.810.62
${}^{152}{Sm}$+0.82(4)+0.76(19)0.9(2)0.820.58
${}^{160}{Dy}$+0.723(19)+0.80(5)1.11(8)0.830.63
${}^{162}{Dy}$+0.686(28)0.92(6)1.3(1)0.820.62
${}^{164}{Dy}$+0.684(23)0.76(6)1.1(1)0.810.60
${}^{166}{Er}$+0.641(10)0.69(8)1.1(1)0.820.64
${}^{168}{Er}$+0.642(12)+0.72(14)1.1(2)0.810.62
${}^{184}{W}$+0.578(14)+0.25(8)0.4(1)0.800.65
${}^{186}{W}$+0.615(24)+0.39(8)0.6(1)0.800.64
${}^{188}{Os}$+0.596(22)+0.78(7)1.3(1)0.810.67
${}^{190}{Os}$+0.692(30)+0.66(8)1.0(1)0.800.66
${}^{192}{Os}$+0.792(20)+0.58(4)0.73(5)0.780.65
${}^{192}{Pt}$+0.590(18)+0.61(8)1.0(1)
${}^{194}{Pt}$+0.60(3)+0.56(12)0.9(2)
${}^{196}{Pt}$+0.604(48)+0.54(9)0.9(2)
${}^{198}{Pt}$+0.63(2)+0.61(11)1.0(2)
"} {"image_path": "images/436b83cd185afa1d4e6aaf5d1cda8662.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
UnorientedHighly oriented
$S_{11}~=~S_{33}$$S_{44}$$S_{11}$$S_{33}$$S_{44}$
Low-density polyethylene81 2385512910
High-density polyethylene1726152·317
Polypropylene1427121·610
Polyethylene terephthalate4·4 11160·7114
Nylon 6.64·8127·32·415
"} {"image_path": "images/885b699b01a2f233e2ad6870239ade94.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
初 读 数刻 度 板 上 读 数 变 化
ooR00.50 1.00 1.50 2.002.503.003.504.004.505.00
5.5g
214.0000.040.030.130.180.240.300.370.450.540.63
204.2500.040.080.130.180.240.300.360.430.520.60
194.5000.040.030.120.170.230.290.350.420.500.58
184.7500.040.080.120.170.230.280.340.410.480.56
175.0000.040.080.120.170.220.270.330.400.470.54
175.2500.040.080.120.170.220.270.330.390.460.53
165.5000.040.030.120.160.210.260.320.380.450.52
155.7500.040.080.120.160.210.260.320.380.440.50
156.0000.030.070.110.150.200.250.310.370.43 0.49
146.2500.030.070.110.150.20 0.250.310.370.430.49
136.5000.030.070.110.150.200.250.300.360.420.48
136.7500.030.070.110.150.200.240.300.360.41 0.47
127.0000.030.070.110.150.200.240.290.350.400.46
117.5000.030.070.110.150.190.240.290.340.390.45
018.0000.030.070.110.150.190.240.290.340.390.45
98.5000.030.070.110.150.190.230.280.330.390.44
99.0000.030.070.1I0.150.190.230.280.330.380.44
"} {"image_path": "images/683514d3e5f7366cbad9f8476c11f086.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$Item,^{1} mg/L$$Treatment^2$SEM$Contrast^3$ (P-value)
Ctrl300600900LQC
Total AA-N141.6130.3146.2136.89.20.950.870.09
>10 kDa38.634.440.138.62.80.520.470.08
3-10 kDa20.828.428.525.23.10.370.120.78
<3kDa70.057.163.561.95.30.400.250.22
Free AA12.110.414.111.20.90.820.500.02
$\\mathrm{NH_{3-}N}$90.669.685.575.017.20.440.550.14
Total N232.2199.8231.7211.825.90.630.640.09
% AA-N
>10 kDa26.525.727.227.71.50.450.690.62
3-10 kDa14.622.819.718.91.80.270.050.15
<3 kDa49.843.443.445.21.70.110.050.55
Free AA9.18.19.68.20.70.740.770.15
% Total N
Total AA-N62.065.163.864.83.00.260.450.27
>10 kDa16.516.717.618.21.50.360.900.87
3-10 kDa9.1014.912.312.01.30.320.050.11
<3 kDa30.828.327.729.41.40.210.030.94
Free AA 5.7 5.3 6.1 5.3 0.6 0.90 0.670.24
$\\mathrm{NH_{3-}N}$38.034.936.235.23.00.260.450.27
"} {"image_path": "images/02f07d827651f42b3be8eef48f40c14d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fig.Parameters2345678910
$\\mu_{\\mathrm{RK}}=1000 \\Omega$XXXXXX
$\\sigma_{\\mathrm{RK}}=0.4 \\mu_{\\mathrm{RK}}$XXXXXXXX
$μ_ps =0$XXXXXXX
$\\sigma_{\\rho s}=0.4 \\mu_{\\rho s}$XXXXXXXXX
$μ_{ti}=0.30 \\mathrm{sec}$.XXXXXXXX
$σ_{ti}=0.23 \\mathrm{sec}$.XXXXXXXX
$^μV_a$100 VXX
*56.5 VXXXXXX
$^σV_a$40 VXX
*24 vXXXXXX
$T_{e}=1$ hourXXXXXXXX
$\\mathrm{T}_{\\mathrm{f}}=1 \\mathrm{~min}$.XXXXXXXX
$f_e =10$XXXXXXXX
$f_f =1$XXXXXXXX
T =1 yearXXXXXXXXX
"} {"image_path": "images/a14a0f8804a6155bec6aecfbbbe16089.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
項 目獎勵補助款自籌款
金額比率金額比率
一、各所系科中心之教學及研究設備(占資本門經費60%以上【不含自籌款金額】)(請另填寫$\\fbox{參}$$\\fbox{考附表 11}$)15,799,43280.24%2,812,776100%
二、圖書館自動化及圖書期刊、教學媒體(占資本門經費 10%以上【不含自籌款金額】)(請另填寫$\\fbox{參考附表 12~13}$)圖書館自動化設備420,0002.13%
圖書期刊、教學媒體2,680,00013.61%
小計3,100,00015.74%
三、學生事務及輔導相關設備(占資本門經費 2%以上【不含自籌款金額】)(請另填寫$\\fbox{參考附表 14}$)510,0002.59%
四、其他(省水器材、實習實驗、校園安全、環保廢棄物處理、無障礙空間、其他永續校園綠化等相關設施)(請另填寫$\\fbox{參考附表 15}$)280,0001.42%
總 計19,689,432100%2,812,776100%
"} {"image_path": "images/af83277f9e06d00aa9f7febde1f3a94b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地 址 码模拟量输入端
CBA
000IN0
001IN1
010IN2
011IN3
100IN4
101IN5
110IN6
111IN7
"} {"image_path": "images/5e3409574fa42bcb1443f809b3439371.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2001200220032004 20052006200720082009
Imports, cifImportations, cif
Imports - Total---------Importations-Total(millions)
Main ProductsPrincipaux produits
Medicaments nes, in dosage262250426511387122-Médicaments nda, en dosage
Portland cement nes611181931395285-Ciment Portland NDA
Petroleum oils&oils obtained frombituminous minerals, o/than crudeetc7192215265261465264-Huiles de pétrole, butamineux,distilles, sauf brut
Transmission apparatus, forradioteleph incorporatg receptionapparatus199113343809552-Appareils de transmission, pour lesappareils de réception radiotelephincorporatg
Electrical apparatus for linetelephony/telegraphy nes1000105250- Appareils electriques pour latelephonie ou la telegraphie NDA
Main OriginPrincipales provenances
Kenya159302401470566387499615-Kenya
China1628517679138203230-Chine
India5662847785110134184-Inde
South Africa5857628788103153166-Afrique du Sud
Japan253036636182125187-Japon
"} {"image_path": "images/f4f6e6932b2527623d00e67e514b3e0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2023/4/6黃*1000
2023/4/6辛水泉3300
2023/4/6袁*1000
2023/4/6沈業鈞500
2023/4/6吳*600
2023/4/6江旻翰1100
2023/4/6林*600
2023/4/6吳權鵬600
2023/4/6蔡*500
2023/4/6沈*100
2023/4/6蘇*1300
2023/4/6陳映如300
2023/4/6李亮億500
2023/4/6呂*500
2023/4/6田縈蓁500
2023/4/6王*500
2023/4/6潘怡文300
2023/4/6高*500
2023/4/6王*600
2023/4/6黃浩軒600
2023/4/6王*800
2023/4/6吳*500
2023/4/6張晨霖300
2023/4/6葉子嫈500
2023/4/6沈*100
2023/4/6章*1300
2023/4/6魏鈴穎1500
2023/4/6翁偉玲500
2023/4/6張*1100
2023/4/6吳*1600
2023/4/6林*500
2023/4/6鄭千芝500
2023/4/6唐國豪500
2023/4/6陳*300
2023/4/6陳語彤500
2023/4/6陳俊名400
2023/4/6杜思賢600
2023/4/6王*1000
2023/4/6江郁昀1500
2023/4/6顏千蕙300
2023/4/6許禎育500
2023/4/6簡*500
2023/4/6林*500
2023/4/6王*600
"} {"image_path": "images/698db4c59daae5c1c6b8c6418ae6511a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分类收缩压 (mmHg)舒张压 (mmHg)
正常血压< 120< 80
正常高值120 ~ 139和 (或)80 ~ 89
高血压≥ 140和 (或)≥ 90
1级高血压 (轻度)140 ~ 159和 (或)90 ~ 99
2级高血压 (中度)160 ~ 179和 (或)100 ~ 109
3级高血压 (重度)≥ 180和 (或)≥ 110
单纯收缩期高血压≥ 140< 90
"} {"image_path": "images/d73c8b974e1fec0fedb7144f258f5d93.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
k$H_k$$I_k$
1-9 . 01
2-6 . 82
3-4 . 61
4-2.22
50 . 04
62 . 22
74 . 61
86 . 82
99 . 01
"} {"image_path": "images/d0b6450316348296d1af7014c6b22fd8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$H_0$ True KSCvM
1%5%10%1%5%10%
$t_5$$t_5$1.44.08.21.05.010.4
GaussianGaussian1.04.68.61.45.810.2
ClaytonClayton 1.84.29.81.05.29.6
GumbelGumbel 0.84.09.20.64.89.4
FrankFrank1.45.48.21.64.48.6
$t_5$Gaussian 4.2 29.445.414.236.051.8
Clayton95.099.899.8100100100
Gumbel1.88.613.23.013.619.8
Frank46.879.888.475.292.097.2
Gaussian$t_5$54.469.076.622.437.247.0
Clayton65.889.894.421.076.292.4
Gumbel59.877.485.232.062.680.8
Frank19.245.457.624.051.667.0
Clayton$t_5$100100100100100100
Gaussian100100100100100100
Gumbel100100100100100100
Frank100100100100100100
Gumbel$t_5$73.690.295.288.097.499.4
Gaussian 81.098.099.499.6100100
Clayton86.697.699.693.6100100
Frank 62.279.686.024.441.265.8
Frank$t_5$ 49.074.084.422.245.265.0
Gaussian 24.852.265.225.252.667.8
Clayton100100100100100100
Gumbel 73.697.498.279.492.095.8
"} {"image_path": "images/720cba2f5e04cefa3ae5d716b94601cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组 合输 电 权 结 算
源点母线终点母线数 量(MW) 源点价格(美元/MWh) 终点价格(美元/MWh)收 入(美元)总 计(美元)
A132257.5010.00562.50787.50
12607.5011.25225.00
B132857.5010.00712.50787.50
326010.0011.2575.00
C132757.5010.00687.50787.50
12107.5011.2537.50
325010.0011.2562.50
"} {"image_path": "images/23019cee0c3ba62b0d77f007703e1840.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
期数1%2%3%4%5%6%7%8%9%
10.99010.98040.97090.96150.95240.94340.93460.92590.9174
21.97041.94161.91351.88611.85941.83341.80801.78331.7591
32.94102.88392.82862.77512.72322.67302.62432.57712.5313
43.90203.80773.71713.62993.54603.46513.38723.31213.2397
54.85344.71354.57974.45184.32954.21244.10023.99273.8897
65.79555.60145.41725.24215.07574.91734.76654.62294.4859
76.72826.47206.23036.00215.78645.58245.38935.20645.0330
87.65177.32557.01976.73276.46326.20985.97135.74665.5348
98.56608.16227.78617.43537.10786.80176.51526.24695.9952
109.47138.98268.53028.11097.72177.36017.02366.71016.4177
1110.36769.78689.25268.76058.30647.88697.49877.13906.8052
1211.255110.57539.95409.38518.86338.38387.94277.53617.1607
1312.133711.348410.63509.98569.39368.85278.35777.90387.4869
1413.003712.106211.296110.56319.89869.29508.74558.24427.7862
1513.865112.849311.937911.118410.37979.71229.10798.55958.0607
1614.717913.577712.561111.652310.837810.10599.44668.85148.3126
1715.562314.291913.166112.165711.274110.47739.76329.12168.5436
1816.398314.992013.753512.689611.689610.827610.05919.37198.7556
1917.226015.678514.323813.133912.085311.158110.33569.60368.9601
2018.045616.351414.877513.590312.462211.469910.59409.81819.1285
2118.857017.011215.415014.029212.821211.764110.835510.01689.2922
2219.660417.658015.936914.451113.488612.303411.061210.20079.4424
2320.455818.292216.443614.856813.488612.303411.272210.37119.5802
2421.243418.913916.935515.247013.798612.550411.469310.52889.7066
2522.023219.523517.413115.622114.093912.783411.653610.67489.8226
2622.795220.121017.876815.982814.375213.003211.825810.81009.9290
2723.559620.705918.327016.329614.643013.210511.986710.935210.0266
2824.316421.281318.764116.663114.898113.406212.137111.051110.1161
2925.065821.844419.188516.983715.141113.590712.277711.158410.1983
3025.807722.396519.600417.292015.372513.764812.409011.257810.2737
3529.408624.998621.487218.664616.374214.498212.947711.654610.5668
4032.834727.355523.114819.792817.159115.046313.331711.924610.7574
4536.094529.490224.518720.720017.774115.455813.605512.108410.8812
5039.196131.423625.729821.482218.255915.761913.800712.233510.9617
5542.147233.174826.774422.108618.633515.990513.939912.318611.0140
"} {"image_path": "images/b3ef553f4b1d2bfb2606961c6eb87f5a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分 类国 家年 取 水 量
年份 用水量$\\left(10^{9}\\mathrm{~m}^{3}\\right)$人均用水量$(\\mathrm{m}^3)$部门用水组成 ( % )
生活用水工业用水农业用水
吉尔吉斯斯坦198911. 727293790
老挝19870. 9925981082
黎巴嫩19750. 7527111485
马来西亚19759. 42768233047
蒙古19870. 55273112762
缅甸19873. 961017390
尼泊尔19872. 681504195
阿曼19750. 485643394
巴基斯坦1975153. 420531198
菲律宾197529. 5686182161
沙特阿拉伯19753. 649745847
新加坡19750. 198445514
斯里兰卡19706. 35032296
叙利亚19763. 3443571083
塔吉克斯坦198912. 624555788
泰国198731. 96024690
土耳其199133. 5585241957
土库曼斯坦198922. 863901891
阿拉伯联合酋长国19800. 988411980
乌兹别克斯坦198982. 2412141284
越南199228. 941413978
也门共和国19873. 43355293
大洋洲199516. 7358664234
澳大利亚198514. 693365233
斐济19870. 0342202060
新西兰19912589461044
巴布亚新几内亚19870. 428292249
所罗门群岛198700402040
"} {"image_path": "images/ace31d08b48a7da529cd90ab9ac7136c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
课程类别课程编号课 程 名 称学时学分开课学期授课方式考核方式开课院系备注
学位课程18学分公共课程$ \\begin{array}{ll} {\\text { OOM0001 }} & {\\text { OOM0001 }}\\end{array} $第一外国语First Foreign Language964秋、春讲课考试外语院 必修6学分
$ \\begin{array}{l}\\\\ \\\\ \\\\ \\\\ \\\\ \\end{array} $中国特色社会主义理论与实践研究Socialism with Chinese Character-istics: Theory and Practice362讲课考试/考查马院
学科基础课程88M0001 88M0001矩阵论Matrix Theory322讲课/研讨考试理学院 选修5-6学分
88M0002数值分析Numerical Analysis483讲课/研讨考试理学院
88M0007 88M0007工程随机过程Engineering Random Processes483讲课/研讨考试理学院
88M0004数学物理方程Partial Differential Equations inMathematics and Physics483讲课/研讨考试理学院
88M0005 88M0005数理统计Mathematical Statistics483讲课/研讨考试理学院
10M0201材料物理化学Physical Chemistry of Materials483讲课/研讨考试力材院
专业基础课程10M0202材料结构与性能Structures and Properties of Materi-als322讲课/研讨考试/考查力材院 选修4-5学分
10M0203材料现代研究方法Modern Analysis Methods for Mate-rials322讲课/研讨考试/考查力材院
10M0204材料热力学Material Thermodynamics322讲课/研讨考试/考查力材院
10M0205物理冶金Physical Metallurgy483讲课/研讨考试/考查力材院
09M0202现代控制工程Modern Control Engineering322讲课/研讨考试/考查机电院
专业课程10M0206高等材料Advanced Materials Science322讲课/研讨考试/考查力材院 选修2学分
10M0207材料成形理论与工艺Forming Theory and Technology ofMaterials322讲课/研讨考试/考查力材院
10M0208 10M0208功能高分子Functional Polymers322讲课/研讨考试/考查力材院
10M0210先进复合材料Advanced Composite Materials322讲课/研讨考试/考查力材院
09 M0402焊接过程自动控制Auto – controlling of Welding Pro-gress322讲课/研讨考试/考查机电院
"} {"image_path": "images/dd980333addef75b25d2361d7c2a488a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
No.DatumZeitVol.des zuge-fügtenWassersZusatzvonGlucosein gaus demKohlen-dioxydberechneterZucker ver-brauchterZuckerVerlustanZucker
15613. Ⅺ. 0288 Stdn.02.20.921.130.21
157do.do.14.40.821.570.75
158do.do.26.60.741.300.56
1599. Ⅱ. 03108 Stdn.02.21.121.240.12
160do.do.14.40.901.080.18
161do.do.26.60.841.050.21
162do.do.38.81.202.060.86
16318. II. 0360 Stdn.021.081.390.31
164do.do.141.061.300.24
165do.do.260.660.990.33
16619. Ⅲ.0380 Stdn.020.880.970.09
167do.do.140.700.880.18
168do.do.3S0.560.820.26
16924. Ⅲ. 0360 Stdn.021.201.360.16
170do.do.140.861.190.33
171do.do.380.881.260.38
17231. Ⅲ. 0360 Stdn.0100.982.231.25
173do.do.1200.903.082.18
174do.do.3400.703.312.61
17527. Ⅳ. 0364 Stdn.151.021.370.35
176do.do.3100.761.310.55
1774. Ⅱ. 0364 Stdn.020.680.920.24
178do.do.020.700.950.25
179do.do.140.701.220.52
1#0do.do.140.601.050.45
"} {"image_path": "images/43eb16dce2df4f399de3c4d200a0a127.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名 称单位当时实际盘 存 数实际清查日 期規定日期和实查 日 期 之 间
收 入 数发 出 数
甲材料1512月27日2.55
乙材料公斤1,99012月27日350400
丙材料公斤1171月4日20__
丁材料公斤5511月4日200100
"} {"image_path": "images/3ca9583e7432f07a8a39ce5cfd803fb9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别数字行 业基 本 建 设 投 资
1986年1987年1988年1989年1990年
投资总额7621 006488321587
农林牧渔水利178269442651
工业432506304258368
地质普查和勘探业-----
建筑业-14---
交通运输邮电通讯业188628-134
商业、饮食业、物资供销和仓储业908848--
房地产管理、公用事业居民服务和咨询--18--
卫生体育和社会福利业-10-- -
教育文化广播电视业3333---
科研和综合技术服务业-----
金融、保险业37-463734
国家机关、党政机关和社会团体-----
其他行业-----
"} {"image_path": "images/1995006fdbb0ab6563bd7f33ca15145b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Station name$RS_{HARG-SAM}~(T)$, Eq. (1) versusmeasured $R_{S}$$RS_{NEW}~(T.RH)$, Eq. (3) versusmeasured $R_{S}$$R S_{THOR-RUN}(T)$, Eq. (4) versusmeasured $R_{S}$
rt$R^{2}$ SEE$(MJ / m^2 / d)$rt$R^{2}$ SEE$(MJ / m^2 / d)$rt$R^{2}$ SEE$(MJ / m^2 / d)$
1. Davis, California0.990.882.920.990.902.741.070.862.99
2. Stratford, California1.040.862.831.040.892.751.110.823.32
3. Seeley, California1.010.802.681.070.882.691.060.822.66
4. Five Poins, California1.000.882.741.010.902.631.070.843.05
5. McArthur, California1.070.853.301.030.882.891.120.813.62
6. Calipatria, California1.010.822.781.010.842.701.030.812.70
7. Gerber8, California0.980.883.090.990.902.831.060.863.08
8. Hastings, California0.900.814.190.890.864.011.010.813.36
9. Victorville, California0.970.793.401.020.843.001.040.813.06
10. Lindcove, California1.030.862.691.050.882.631.130.853.23
11. Firebaugh, California1.030.863.141.050.893.081.110.833.48
12. Piru, California1.010.763.120.990.713.261.090.753.47
13. Santa Rosa, California1.040.853.031.010.961.691.090.843.12
14. Parlier, California1.030.872.681.000.902.511.110.843.21
15. Aguila, Arizona0.940.833.241.030.862.821.010.822.95
16. Tucson, Arizona0.990.723.201.040.793.061.050.713.34
17. Zamora, California1.030.863.000.990.882.771.100.843.28
18. Orland, California1.000.853.400.980.883.151.110.813.53
19. De Laveaga, California0.960.743.680.910.763.951.120.733.84
20. Suisun-Valley, California0.930.784.040.910.824.041.050.783.48
21. Petaluma East, California0.990.803.460.950.833.311.080.823.15
22. Lodi West, California1.050.843.191.020.862.941.120.813.51
23. Novato, California1.170.535.011.110.564.641.280.425.78
24. Oakville, California1.050.872.971.010.882.791.110.853.20
25. Andravida, Greece0.850.784.780.870.804.431.070.743.95
26. Araxos, Greece0.860.774.380.910.793.731.080.733.82
27. Fort-Pierce, Florida0.960.044.080.880.453.920.990.24.26
28. Alachua, Florida1.120.523.811.050.662.951.260.515.46
29. Okahumpka, Florida1.030.473.600.990.623.191.180.484.90
30. Hastings, Florida1.0020.3723.720.950.533.501.190.454.96
31. Dover, Florida1.010.433.390.970.583.061.190.454.80
32. Ona, Florida1.070.423.520.980.602.891.220.415.10
Average1.010.733.410.990.793.141.100.723.68
"} {"image_path": "images/5032e0c7c64d2de5863a7e44b394fe71.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Chromosome 21Chromosome 22
Quintuplets Hexaplets Quintuplets Hexaplets
ACCAC—7.0113AGAGAT—6.1367ATGGC—6.7875TTCCCA—5.6880
TGTTC—6.9843CTGTTT—6.0401CACTG—6.6620TGAGCA—5.6422
CCACT—6.9392CTTCCT—5.9745CCTCA—6.4823ATCCCA—5.6220
TCAGT—6.9367TTTCTG—5.9617TGGAA—6.4162CTGAGA—5.6165
TTCCA—6.9104CAGTGT—5.9508TCACC—6.4130TTCCAG—5.6043
CAGAT—6.8716ATCTCT—5.8616AGTCC—6.3875AGTGAG—5.5843
CCAGT—6.8244CCATTC—5.8495GCAGA—6.3566CACTGA—5.5796
ACACA—6.8189ATGCCA—5.8453AGAGT—6.3214CCACTG—5.5678
AGTGT—6.7812TGAAGT—5.8277TCATG—6.2708GAGATG—5.5602
CCTGT—6.7792AGGCAT—5.7719ATGGA—6.2553TCCTGA—5.5514
AAGTC—6.7389GTTCTG—5.7614ACACT—6.2337CATGTG—5.5359
GTTCA—6.6831CAGAAG—5.7475GGTCT—6.2168AGATGG—5.5238
AGTGA—6.6797GTCTCT—5.7443CCCAT—6.2116AGCTGA—5.5229
AGACA—6.6412TGAGAG—5.7317AGCAT—6.1892TTCTGC—5.5178
ATCTG—6.6281CCAGAA—5.7302AGGAC—6.1833TGACAG—5.5144
........................
GCGGC—2.7003TCGCCG—1.1398CGCGG—2.7885CGACGT—1.2910
GACCG—2.6634CGACGG—1.1147CCGCG—2.7354CGACGA—1.2873
TCGCG—2.6018CGTTCG—1.1075GCGCG—2.6572CGTCGA—1.2791
CGCGG—2.5462CGACCG—1.0977CCACC—2.6272CGAACG—1.2728
CGCGA—2.3863CGTCGG—1.0790CGTCG—2.5625TTCGCG—1.2708
CGCGC—2.3078TCGCGA—1.0756CGCGT—2.5557CGTTCG—1.2657
CCGCG—2.1714CGAACG—1.0740CGGCG—2.5520CGGTCG—1.2630
CGCCG—2.1094TGCGCG—1.0686CCAGG—2.5371TCGTCG—1.2608
GCGCG—2.0869TCGACG—1.0642ACGCG—2.5278CGATCG—1.2169
CGCGT—2.0668TTCGCG—1.0347CGCGA-2.5188TACGCG—1.2058
ACGCG—1.9147CGGTCG—1.0283CGACG—2.5046TCGACG—1.2025
CGGCG—1.8312CGACGA—0.9966TCGCG—2.4809AACGCG—1.1508
CGTCG—1.7109CGCGTA—0.9861CGCCG—2.4723CGTACG—1.0655
CGACG—1.5724CGTCGA—0.9325CCTCC—2.0487CGCGTA—1.0029
"} {"image_path": "images/e43e8075243fb302c6c9204cd5e7bdcc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\underline{100\\text{年度}}$$\\underline{99\\text{年度}}$
營業活動之現金流量:
本期淨利$ 64,79490,862
調整項目:
折舊及攤銷42,39634,955
提列呆帳損失、存貨跌價及呆滯損失5,4058,200
採權益法認列之投資損失9,1844,793
認列員工認股權之酬勞成本5,9394,084
應收票據及帳款增加(147,369)(121,648)
存貨增加(60,542)(48,311)
其他流動資產減少792221
應付票據及帳款增加111,78547,684
應付費用及其他應付款增加14,34633,445
其他流動負債減少(119)(1,125)
其 他(162)1,163
營業活動之淨現金流入46,44954,323
投資活動之現金流量:
取得長期股權投資價款(14,700)(15,897)
購置固定資產價款(316,228)(41,876)
出售固定資產價款4,095178
無形資產及遞延費用增加(5,618)(2,880)
其 他1,167(163)
投資活動之淨現金流出(331.284)(60.638)
融資活動之現金流量:
應付租賃款減少-(8,251)
短期借款增加(减少)83,841(6,378)
長期借款增加182,67322,472
員工認股權認購價款22,95019,075
現金增資74,440--
發放現金股利(6,844)-
融資活動之淨現金流入 357,060 26,918
本期現金及銀行存款淨增加數72,22520,603
期初現金及銀行存款餘額 131,107 110,504
期末現金及銀行存款餘額$ 203.332 131,107
現金流量資訊之補充揭露:
本期支付利息$ 1,701935
本期支付所得稅$ 18,621434
不影響現金流量之投資及融資活動:
一年內到期之長期負債$ 12,31912,327
"} {"image_path": "images/b1b7517b7c88a2c0c655d3a1c91a4fa6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日期摘要入 库发 出结 存
数量(吨)单 价(万元)金 额(万元)数量(吨)单 价(万元)金 额(万元)数 量(吨)单 价(万元)金 额(万元)
1.1期初余额4002320
1.30入库4005.0020008004320
1.31销售1005.155157003805
3.30入库2004.609209004725
3.31销售2004.609207003805
4.30入库1004.504508004255
5.30入库3005.20156011005815
5.30销售4004.5018007004015
6.30入库1005.405408004555
7.30入库404.701888404743
8.30入库1005.605609405303
8.31销售604.702828805021
9.30入库2004.7595010805971
10.30人库1504.5067512306646
10.31销售804.7037611506270
11.30入库2004.6092013507190
11.30销售1004.9049012506700
12.30入库2504.80120015007900
12.31销售5004.80240010005500
12.31期末余额10005500
"} {"image_path": "images/5c991b1f8e6fdb193d9f3daa03f9a6e5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Inputspeed[rpm] Inputcurrent[A] Inputvoltage[V] Fieldcurrent[A] Fieldvoltage[V]Feedbackcurrent[A]Generatingvoltage[V] Feedbackcoefficient
1500102201.614201600.667
122201.816401600.769
18220218601600.769
252202.220801620.762
322252.6221001650.758
2000103051.410202200.667
123051.513402200.769
183051.615602250.769
203051.816802280.800
223052181002300.820
2500113801.2510202780.645
133801.312402780.755
173801.513 602800.779
203801.715802800.800
253851.9161002800.800
3000124501.210203250.625
134501.2510403280.755
174501.410603300.779
204551.612803300.800
244561.8151003300.806
3400124600.97.5203280.625
154601.08.5403300.727
184601.210603300.769
204601.2511803300.800
254601.512.51003300.800
"} {"image_path": "images/bf715c53a6a3fcc61f0741995e5336bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Perm.Sequence of coefficients
12340123456789101112131415
21340213465781091112141315
23140246135781012149111315
32140426153781210149131115
31240415263781291310141115
13240145236789121310111415
13420145891213236710111415
31420415812913263710141115
34120481215913261014371115
43120841219513210614311715
41320819412513210311614715
14320189451213231011671415
14230189231011451213671415
41230819210311412513614715
42130821019311412614513715
24130281013911461214571315
21430213810911465712141315
12430123891011456712131415
32410426812101415379131115
23410246810121413579111315
24310281046121413911571315
42310821041261419311513715
43210841221061419513311715
34210481226101415913371115
"} {"image_path": "images/726e6d8639befba63f6b908071729cd7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Distribution$T_{0.1}^{(1)}$$T_{0.15}^{(1)}$$T_{0.2}^{(1)}$KSCMAD
$\\Gamma(0.5)$5105105510612612713
$\\Gamma(1,0)$511510510611510711
$\\Gamma(1.5)$511611611510611611
$\\Gamma(2.0)$ 510510510511510611
W(0.5)17241825182517241724613
$W(2,0)$9169171017101712201930
$\\mathrm{IG}(0.5)$647663746173607154684363
$\\mathrm{IG}(1.0)$405340523952385037503248
$\\mathrm{IG}(2.0)$243524352435223325362436
$\\operatorname{LN}(0.5)$ 162516251726162418261727
$\\operatorname{LN}(1,0)$ 455645564556425442533549
$\\operatorname{LN}(2.0)$ 718170806979677762723457
$\\mathrm{P}(0.5)$ 979997989698959691951452
$P(1.0)$828782878187788575845374
P(2,0)465647564655425343533145
${|N|}$132214221423132115253043
${|C|}$838883888388818781866881
Distribution$T_{0.3}^{(2)}$$T_{0.4}^{(2)}$$T_{0.5}^{(2)}$KSCMAD
IG(0.5)41041041061141049
IG(1,0)494949510510510
$\\mathrm{IG}(1.5)$595959511510510
IG $(2,0)$595959510510510
$\\Gamma(1.5)$838984898489728078857985
$\\Gamma(2.0)$ 707870787179546562716472
$\\Gamma(3.0)$ 506050605060344441504252
$\\operatorname{LN}(1,0)$ 223022302231162418272028
$\\operatorname{LN}(1,5)$ 627063706370536259685967
$\\operatorname{LN}(2,0)$ 929592959295546562716472
$\\mathrm{P}(1,0)$828682868286798481878287
$\\mathrm{P}(2.0)$879187918791838987918891
${|N|}$989998999899959797989799
${|C|}$717671767176707373807481
EW(2)657365736573506156655766
EW(3)405040504150273732423443
"} {"image_path": "images/5d821d172d419715c3035608a107db67.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
NoExp. Run of Input LevelsExp. Run of Output Levels
$P_{w}$V$F_{a}$$T_{s}$$W_{a}$$V_{RMS}$$T_{i}$$T_{c}$$T_{e}$$R_{s}$
11111122413
21112251222
31123332555
41124445222
51235514111
61231122244
71242353532
81243241425
92354412311
102355515212
112311121325
122312333151
132423432224
142424553514
152435224142
162431312423
173542441222
183543525511
193554225355
203555111224
213111452544
223112333222
233123215431
243124142125
254235554212
264231524551
274242441324
284243342313
294354231243
304355115242
314311353514
324312221122
335423412423
345424155135
355435212131
365431345352
375542531225
385543114511
395554251144
405555423224
"} {"image_path": "images/4c54b63e76c43261d901b59cbc635c90.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号姓名奖 项 名 称颁奖时间颁奖单位备注
15王 勇物业管理专项检查工作先进个人2007.11市房管局 市物价局市 工商局
先进个人2008.01市房管局
城市房屋拆迁安置工作先进个人2011.02区委 区政府
物业管理工作先进个人2011.03市住建委
16李恩江优秀党务工作者1994.07县委
优秀工会积极分子1997.11市总工会
先进个人2001.11市关工委
17达明洋优秀工会积极分子1995.04市总工会
18李 忠先进科技工作者1995 年度市房管局
测量标志维护工作先进个人2000.01市规划局
“九五”全省测绘行业先进个人2002.04省测绘局
首届自然科学优秀学术论文三等奖2004.01区政府
19吴存泓“八五”期间城建档案工作先进个人1996.10市建委 市档案局 市规划局
城建档案工作先进个人1998.09市建设档案处
1998-1999年度城建档案工作先进个人2000.02省建委
城建档案工作先进个人2001.02省建设厅
2001-2003年度城建档案工作先进个人2004.02省建设厅
优秀论文三等奖2004.02市城建档案馆 市建设档案学会
城市建设立功竞赛建设功臣2006.01市政府
2002-2007年度科协工作先进个人2007.08市科协
城市建设立功竞赛先进个人2009.01市建委 市总工会
20王 魁优秀团干部1997.03团市委
1999-2000 年度优秀党务工作者2001.06县委
反映社情民意信息先进个人2009.04区政协
21尹家山市三届职业技能竞赛内粉刷第一名1997年度
技术能手1998年度
市新长征突击手1998 年度
1997-1999年度市劳动模范2000.04市政府
1996-2000年度省劳动模范2001.04省政府
"} {"image_path": "images/0759eae541a2192e60d42cb647183e75.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\lambda/nm$光 谱 三 刺 激 值色 品 坐 标
$\\overline{x}\\left(\\lambda\\right)$$\\overline{y}\\left(\\lambda\\right)$$\\overline{z}\\left(\\lambda\\right)$$x\\left(\\lambda\\right)$$y\\left(\\lambda\\right)$$z\\left(\\lambda\\right)$
7150.004 109 457 0.001 484 0000.000 000 00.734 690.265 310.000 00
160.003 833 913 0.001 384 4960.734 690.265 31
170.003 575 7480.001 291 2680.734 690.265 31
180.003 334 342 0.001 204 0920.734 690.265 31
190.003 109 0750.001 122 7440.734 690.265 31
7200.002 899 3270.001 047 0000.734 690.265 31
210.002 704 3480.000 976 589 60.734 690.265 31
220.002 523 0200.000 911 108 80.734 690.265 31
230.002 354 1680.000 850 133 20.734 690.265 31
240.002 196 6160.000 793 238 40.734 690.265 31
7250.002 049 1900.000 740 000 00.734 690.265 31
260.001 910 9600.000 690 082 70.734 690.265 31
270.001 781 4380.000 643 310 00.734 690.265 31
280.001 660 1100.000 599 496 00.734 690.265 31
290.001 546 4590.000 558 454 70.734 690.265 31
7300.001 439 9710.000 520 000 00.734 690.265 31
310.001 340 0420.000 483 913 60.734 690.265 31
320.001 246 2750.000 450 052 80.734 690.265 31
330.001 158 4710.000 418 345 20.734 690.265 31
340.001 076 4300.000 388 718 40.734 690.265 31
7350.000 999 949 30.000 361 100 0 0.734 690.265 31
360.000 928 735 80.000 335 383 50.734 690.265 31
370.000 862 433 20.000 311 440 40.734 690.265 31
380.000 800 750 30.000 289 165 60.734 690.265 31
390.000 743 396 00.000 268 453 90.734 690.265 31
7400.000 690 078 60.000 249 200 0 0.734 690.265 31
410.000 640 515 60.000 231 301 90.734 690.265 31
420.000 594 502 10.000 214 685 60.734 690.265 31
430.000 551 864 60.000 199 288 40.734 690.265 31
440.000 512 429 00.000 185 047 50.734 690.265 31
7450.000 476 021 30.000 171 900 00.734 690.265 31
460.000 442 453 60.000 159 778 10.734 690.265 31
470.000 411 511 70.000 148 604 40.734 690.265 31
480.000 382 981 40.000 138 301 60.734 690.265 31
490.000 356 649 10.000 128 792 50.734 690.265 31
7500.000 332 301 1 0.000 120 000 00.734 690.265 31
510.000 309 758 6 0.000 111 859 50.734 690.265 31
520.000 288 887 10.000 104 322 4 0.734 690.265 31
530.000 269 539 4 0.000 097 335 600.734 690.265 31
540.000 251 568 2 0.000 090 845 870.734 690.265 31
7550.000 234 826 1 0.000 084 800 000.734 690.265 31
560.000 219 171 0 0.000 079 146 670.734 690.265 31
570.000 204 525 80.000 073 858 000.734 690.265 31
580.000 190 840 50.000 068 916 000.734 690.265 31
590.000 178 065 40.000 064 302 670.734 690.265 31
"} {"image_path": "images/b672596c44c56105b575fc29543f2a5c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测点编号离地面深度 (米)测量方向最 大 值
加速度 (伽)速度 (公分/秒)
10N60°E33.851.99
N30°W24.001.35
U - D9.180.49
2- 33N60°E16.541.13
3- 52N60°E7.200.72
N30°W8.880.58
U - D7.550.38
4- 88N60°E7.870.53
N30°W6.790.54
U - D4.510.37
"} {"image_path": "images/2541d10bbccc38041e7b044a1062eb36.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工 艺污 染 来 源污 染 物可能的处理方法
蒸汽裂解制烯烃裂 解 炉 排 气酸 性 气 体用吸收剂吸收
废 碱再生、深井排放
酚 类 化 合 物生 物 氧 化
聚 合 物燃 烧
催 化 重 整反 应 器 排 气硫 化 氢、 氨用吸收剂吸收
芳 烃 抽 提抽 提 液 水 洗 芳 烃沉 降、混 凝
溶 剂 回 收溶 剂生 物 氧 化
从苯制造苯乙烯反 应 器 排 气芳 烃沉 降、混 凝
废 催 化 剂三 氯 化 铝分 解
氧 氯 化 装 置反 应 器 排 气氯 气、氯 化 氢用吸收剂吸收
副 产 品出售或循环使用
烃类氧化制醛醇工 艺 废 料丙酮、甲醛、乙醛和可溶性污染物生 物 氧 化
环 氧 乙 烷 工 艺 废 料氯化钙、烃类聚合物水溶性杂质出售或生物氧化
丙 烯 腈废 水氰 化 物用 氯 氧 化
合 成 氨阴 阳 离 子 交 换酸、 碱中 和
回收与工艺的冷凝水蒸汽、空气提馆
聚合、烃化、异构化催 化 剂废 酸回 收
三 氯 化 铝分 散
"} {"image_path": "images/0cc5984cafff265139f55a4b5270a14c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
方案设想影响因素方案 1方案 2方案 3方案 4方案 5
林地面积变化-10-5现状生态格局510
草地面积变化-10-5510
居工地面积变化10102020
湖泊湿地面积变化-10-5510
未利用地面积变化5.41.8-7.3-10.9
"} {"image_path": "images/e7b9a703e74a15bdbe006813454dacce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Seasons1869-18771877-18921900-1914
Days$c_{2}$$\\theta_2$P.e.Days$c_{2}$$\\theta_2$P.e.Days$c_{2}$$\\theta_3$P.e.
J99616$\\mathring{107}$7171232$\\mathring{102}$6173925$\\mathring{96}$4
E100332758164827595169724898
D938329414166537756161536777
"} {"image_path": "images/9a3e9ba4ee13bffb7b347b1c7bdfae99.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
X(0)$\\varepsilon$${(\\beta, \\delta)}$
(0.5, 0.25)(0.5, 0.125)(1.0, 0.5)(1.0, 0.25)(2.0, 1.0)(2.0, 0.5)
(6, 18)0.01262728313139
0.001283032 363848
0.0001313336414556
0.00001343640465265
(12, 12)0.012626 26 272630
0.001282827 302839
0.0001313029353148
0.00001384133403857
(18, 6)0.0131 3628312628
0.00138 4932382832
0.0001456136453137
0.00001527340523443
(11, 33)0.0146 4646464652
0.001474747504861
0.0001484849555569
0.00001495153606278
(22, 22)0.01454645464546
0.001 46 4746474647
0.0001474847484752
0.0000148 4948494861
(33, 11)0.01464646464646
0.001485347484747
0.0001556549554849
0.00001627753624953
(26, 78)0.01105 105105105105105
0.001106106106106106106
0.0001106107107107107108
0.00001107107107108108114
(52, 52)0.01105105105105105105
0.001106106106106106106
0.0001106106106107106107
0.00001107107107107107108
(78, 26)0.01105105105105105105
0.001106106106106106106
0.0001107107107107106107
0.00001108108107108107108
(51, 153)0.01205205205205205205
0.001205205205206205206
0.0001206206206206206206
0.00001207207207207207207
(102, 102)0.01205205205205205205
0.001205205205205205205
0.0001206206206206206206
0.00001206207206207206207
(153, 51)0.01205205205205205205
0.001205206205206205206
0.0001206206206206206206
0.00001207207207207207207
"} {"image_path": "images/1d8c96179f2cd61c8fde4230726d9c1e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelRate of flow $\\left(\\mathrm{m}^{3} / \\mathrm{m}^{2} / \\mathrm{h}\\right)$
5101520
Head loss in mm
A10172535
B35485460
C27354350
D30445055
"} {"image_path": "images/cddf76c2f17bbd7a52772d1bbfb0fbb6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
食物种类供给营养素和营养特点备注
谷、薯类谷类及其制品碳水化合物和B族维生素的良好来源,还含有蛋白质、膳食纤维包括细粮、粗粮、杂粮等
薯类膳食纤维、B族维生素的良好来源,碳水化合物丰富白薯、土豆、山药、芋头等
高糖淀粉类食品碳水化合物为主,其他营养素很少 果酱、甜点、蜜饯、烹调用糖和淀粉、粉丝、粉条、凉粉等
蔬菜水果蔬菜类膳食纤维和维生素C的良好来源。并含矿物质,胡萝卜素叶、根、茎、果实等
水果类各种水果
肉、禽、水产、蛋肉类 优质蛋白质,胆固醇较高,含脂肪、矿物质、维生素A、B族维生素猪、牛、羊等红肉
禽类 优质蛋白质,胆固醇较低,含脂肪、矿物质、维生素A、B族维生素鸡、鸭、鹅等白肉
水产类 优质蛋白质,胆固醇较低,含脂肪、矿物质、维生素A、B族维生素以白肉为主
蛋类 优质蛋白质,胆固醇高,含脂肪、矿物质、维生素A、B族维生素鸡蛋、鸭蛋等
奶、豆奶及奶制品钙的良好来源,并含丰富的蛋白质、维生素$B_{2}$牛奶、酸奶、奶酪等
豆及豆制品 提供优质植物蛋白质,还包括脂肪;膳食纤维、矿物质、B族维生素豆腐、豆浆、豆花和各种干豆类
油脂植物油 所含营养素以脂肪为主,也含不饱和脂肪酸(包括单不饱和、多不饱和脂肪酸)、维生素E 大豆油、花生油、玉米油、菜子油、茶籽油、橄榄油等
动物油脂肪为主,维生素E、饱和脂肪酸和胆固醇较高猪油、牛油等
饮料和饮品 水、糖、钠、钾、镁等,不同类的饮料具有不同的营养特点各种饮品、包括果汁等
"} {"image_path": "images/c205d77b3b7342cb7612c50383e9f55e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地 点年 度例 数多氯联苯六 六 六滴 滴 涕
高 知(日本)1971 ~ 1972 502.867.875.44
313.718.625.51
191.486.665.33
农 民72.757.875.24
渔 民57.506.957.79
会 社 员 62.607.264.97
其 它112.928.525.41
无 业121.827.935.10
西 德1970205.70.453.3
美 国1967164未 检0.3610.54
英 国1965~1967 248未 检0.283.0
阿 拉 斯 加爱斯基摩人5.20
"} {"image_path": "images/ee5d025a89978e4840de9ed846251eee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
AbsdaMergeSizeROAMBLEVCFOAbstaLossOpinLocation
Absda10.071-0.053-0.2420.0460.0010.0910.5330.2070.189-0.047
0.2450.3840.0000.4560.9820.1370.0000.0010.0020.440
Merge0.09610.1590.0020.1530.040-0.2110.070-0.0520.0630
0.1160.0090.9750.0120.5170.0000.2540.3980.3041
Size-0.0220.16210.247-0.3890.2990.0750.135-0.254-0.304-0.091
0.7230.0080.0000.0000.0000.2190.0270.0000.0000.137
ROA-0.111-0.0160.1871-0.128-0.3720.351-0.175-0.509-0.4100.018
0.0700.7990.0020.0360.0000.0000.0040.0000.0000.763
MB0.0790.228-0.4090.13610.073-0.0910.0120.2630.4250.071
0.1990.0000.0000.0260.2360.1390.8510.0000.0000.248
LEV-0.0160.0440.307-0.369-0.0611-0.1520.1820.2190.032-0.208
0.7940.4680.0000.0000.3190.0130.0030.0000.6010.001
CFO0.087-0.1840.1380.368-0.001-0.09210.073-0.142-0.1500.012
0.1550.0020.0240.0000.9920.1340.2330.0200.0140.843
Absta0.5670.0790.125-0.1250.1000.2060.10010.1660.085-0.112
0.0000.2000.0410.0410.1010.0010.1010.0070.1650.067
Loss0.206-0.052-0.236-0.4230.1520.210-0.1750.25510.4620.003
0.0010.3980.0000.0000.0120.0010.0040.0000.0000.959
Opin0.1250.063-0.262-0.2920.2100.015-0.1550.1390.46210.059
0.0410.3040.0000.0000.0010.8110.0110.0230.0000.338
Location-0.0250-0.0950.0600.151-0.2200.002-0.1130.0030.0591
0.68010.1200.3280.0130.0000.9760.0660.9590.338
"} {"image_path": "images/40755f1766126a3075ec4086bb35a54e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$S_{11}$
$S_{12}$
$S_{13}$
$S_{14}$
$S_{22}$
$S_{23}$
$S_{31}$
$S_{32}$
$S_{33}$
"} {"image_path": "images/ec7e52dfa3fe31202ebd979852528bc6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
岸别决溢堤段洪泛区范围一次决溢可能成灾范围涉及主要城市、交通、工矿
面积(平方公里) 人口(万人)面积(平方公里) 耕地(万亩) 人口(万人)
北岸沁河口—原阳33 0001 64015 0001 500750 新乡、濮阳,京广、津浦、新菏铁路,中原油田
原阳一陶城铺8 000 ~18 500400 ~930560 ~9 250560 ~925280 ~465 濮阳,新菏、津浦、京九铁路,中原油田、胜利油田
陶城铺—津浦铁路桥10 5005307 350735370 津浦铁路,胜利油田
津浦铁路桥下6 7002704 690469190滨州,胜利油田
南岸郑州一东坝头40 0002 34015 0001 500878 郑州 (部分)、开封、商丘,陇海、京九铁路
东坝头─东平湖20 0001 0008 400840420 徐州、菏泽、济宁,津浦、新菏、京九铁路
济南以下6 7602704 690469187 济南 (部分)、东营,胜利油田
"} {"image_path": "images/38fcb9d0ee71e54bbb279f344952e042.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
解剖名称耳 穴定 位主 治 病 症
耳 舟风 溪指、腕两穴之间荨麻疹、过敏性疾患
将耳舟分六等分,第一等分手指疼痛
第二等分腕痛
耳 轮直 肠 近屏上切迹的耳郭处便秘、腹泻
耳轮顶端 取时将耳轮向耳屏对折发热、急性结膜炎
耳 轮 角耳 中耳轮脚呕吐、荨麻疹、遗尿
耳 背耳迷根 耳背与乳突交界的根部,耳轮角对应处鼻塞、蛔虫症
耳 轮感冒点 在对耳轮上缘的微前方,耳轮的边缘部感冒
耳 舟肾炎点 偏耳轮处,肾脏病者有压痛等反应肾炎
"} {"image_path": "images/ef0966712e9aef7f29da09fd4e40043e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SUNDAYMONDAYTUESDAYWEDNESDAYTHURSDAYFRIDAYSATURDAY
7:00-8:00 a.m.BREAKFAST
8:00-9:00 a.m.WALKING
9: 00-10: 00 a.m.PROGRAMS
10:00-11:00 a.m.SUPPORT GROUP
11:00 a.m.-noonWITH WIFE
noon-1:00 p.m.LUNCH
$1: 00-2: 00$ p.m.
2:00-3:00 p.m.PROGRAMS
$3: 00-4: 00$ p.m.HEALTH CENTER
4:00-5:00 p.m.WITH WIFE
5:00-6:00 p.m.DINNER
6:00-7:00 p.m.
$8: 00-9: 00$ p.m.WITH WIFE
$9: 00-10: 00$ p.m.
"} {"image_path": "images/d49be606f60feb44d7e365a9613d42f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 级初 一初 二初 三高 一高 二高 三合 计
现代小说56404221
古代小说00314210
外国小说2101419
合 计777212540
"} {"image_path": "images/77ee10cf89ab35bc7c0308723fa50f0b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
公称直径 $\\mathrm{Dg}$$\\varnothing_1$$\\varnothing_2$$\\varnothing_3$$\\mathrm{H}$$\\mathrm{H}_1$$S$
( 毫 米 )
4 03 94 85 8451 4
5 05 06 07 0561 7
7 57 48 81 0 0682 0
1 0 01 0 01 1 41 2 6682 2
1 2 51 2 71 4 21 5 68 1 02 2
"} {"image_path": "images/9a423dc81f01bdf39f3112d96a407b29.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
单选多选总分合计占比
第三篇第七章5055646.7%
第八章303
第九章9111
第十章214
第十一章000
第十二章000
第十三章202
第十四章101
第四篇第一章0002016.7%
第二章214
第三章101
第四章101
第五章214
第六章000
第七章000
第八章214
第九章101
第十章000
第十一章012
第十二章113
第五篇第一章00065.0%
第二章101
第三章012
第四章113
合计8020120120100.0%
"} {"image_path": "images/9bc91a0e24c5d0f60ae228a3242c0bd8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
O1021程序号
N0010H000=0给 H000 赋值为 0
N0020H001=110给 H001 赋值为 0.11
N0030G90 G92 X5. Y0指定绝对坐标,预设当前位置
N0040T84 T86开启工作液,运丝
N0050C007指定空行程放电条件号
N0060G01 X3. Y0直线插补加工到点(3,0)
N0070C003指定加工条件
N0080G42 H000建立右补偿
N0090G01 G01 X0. Y0直线插补到起点(0,0)
N0100G42 H001对切割路径进行右补偿
N0110G01 X-100. Y0直线插补到点(-100,0)
N0120G01 X-100. Y6直线插补到点(-100,6)
N0130G01 X-70. Y6直线插补到点(-70,6)
N0140G03 X-70. Y22. I0. J8圆弧插补到点(-70,22)
N0150G01 X-100. Y22直线插补到点(-100,22)
N0160G01 X-100. Y35直线插补到点(-100,35)
N0170G01 X-90. Y35直线插补到点(-90,35)
N0180G01 X-90. Y28直线插补到点(-90,28)
N0190G01 X-60. Y28直线插补到点(-60,28)
N0200G01 X-60. Y79直线插补到点(-60,79)
N0210G01 X-90. Y79直线插补到点(-90,79)
N0220G01 X-90. Y71直线插补到点(-90,71)
N0230G01 X-100. Y71直线插补到点(-100,71)
"} {"image_path": "images/d6897627b56b88bc27afe29ac7759177.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
d
01
"} {"image_path": "images/b1ad058a408287bf5eb6a2853fecb987.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Dunkelroth374541
Roth100100100
Orange777978
Gelb536358
Griin833534
Blau495050
Violett727272
"} {"image_path": "images/12c965f1292a533c34f98b0d0b6cd097.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
局所名称建立日期经办人局所名称建立日期经办人备 注
土门垭1956.4.1黄明银南津关1956.10.22余明奎为地质勘探队服务
大桥边1956.4.5晏行志镇境山1950.12.1杜玉清二中学校
三斗坪1956.4.8杜发菊
鸦鹊岭1956.4.23张贤尚
"} {"image_path": "images/b426b385caa80cefb35899aca0441d05.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年Year 棉Cotton人造纤维MMF 人造长丝Man-made filament总计*Tatal
纤维素纤维Cellulosic合成纤维Synthetic纤维素纤维Cellulosic合成纤维Synthetic
1980-8113131453947441584
1981-8212291754845621559
1982-8311951215640701482
1983-8414181116243931727
1984-8514751197335981803
1985-86155910585431111911
1986-87162497110451282013
1987-881649119108431492142
1988-891632129121431882194
1989-901713148128462042326
1990-911847154155472292527
"} {"image_path": "images/207c6348e921429a46c40fb60c5a5b42.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
方案及白血病类型病人总数缓解病人数(完全 + 部份)
RAP方案
AML7124(21 + 3)
APML41(1 + 0)
# AMML4
AMonL22(1 + 1)
ALL96(6 + 0)
UAL114(3 + 1)
总 数10137(32 + 5)
RAP + T方案
AML6221(18 + 3)
APML63(3 + 0)
AMML5
AMonL4
ALL117(5 + 2)
UAL52(1 + 1)
总 数9333(27 + 6)
"} {"image_path": "images/705ab19d170a8f4787244e46c5491601.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
燃 号 氧 含 量, $\\%$ 氮 含 量, $\\%$
出 鋼 前 鋼 錠 中出 鋼 前 鋼 錠 中
10.00230.0046--
20.00180.0030--
30.00120.0041--
40.00280.0047--
50.00810.0046--
60.00420.0052--
70.00300.00420.00890.0053
80.00150.00300.00480.0053
90.00290.0022--
100.00240.0037--
110.00170.0023--
12--0.00560.0068
13--0.00430.0053
14-0.00290.00510.0060
15-0.00240.00580.0060
160.00150.00200.00550.0068
17-0.00330.00480.0048
180.00380.00250.00480.0049
19-0.00840.00440.0046
"} {"image_path": "images/a46a4aa494ae09fb029041de3b9810fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DihalideConcentra-tion ofreactants,mole/literYield, %
poly-mermacro-cyclicfractionpure macrocycles
n=4n=6n=8
(I)1,0782,10,41,20,2
(II)1,0544,7-4,2-
(III)1,0670,90,4-0,3
(I)0,13138,010,012,05,0
(II)0,1478,0-73,0-
(III)0,12929,017,0-7,0
"} {"image_path": "images/7c331a19c9ede3d9f466955e7a111e62.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Girdernumber(1)Webdepth × thickness(mm)(2)Flangebreadth × thickness(mm)(3)Flange area/web area(4)Yield Stressβ(7)
Web(MPa)(5)Flange(MPa)(6)
TG14305 × 0.96576.2 × 3.120.82203090.09
TG17305 × 0.96576.2 × 9.322.42203150.85
TG19305 × 0.96576.2 × 15.524.02202682.00
"} {"image_path": "images/1312f27dea06760698b749bf4924434c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$-x_{3}$$-x_{4}$$-x_{5}$$-S_{1}$$-S_{2}$
x$_0$700001
x$_1$30001-1
x$_2$1000-23
x$_3$11001-2
x$_4$20103-4
x$_5$1001-20
"} {"image_path": "images/f08d9722a079ccc5e0f6e314b862680c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
检 查 项 目规 定 值 或 允 许 偏 差 ( mm )
梁( 板 )长度+5,-10
宽 度干接缝( 梁翼缘、板 )±10
湿接缝( 梁翼缘、板 )±20
箱梁顶宽±30
腹板或梁肋+10,0
高 度梁、板±5
箱梁+0,-5
跨径( 支座中心至支座中心 )±20
支座平面平整度2
平整度5
横系梁及预埋件位置5
"} {"image_path": "images/1b2863837aaa4ef8005968b311176c50.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1. 显著xiǎnzhùstriking
2. 雕琢diāozhuócarve
3. 将军jiāngjūngeneral
4. 得心应手déxīnyìngshǒuwith high proficiency
5. 武僧wǔsēngwarrior-monk
6. 轻而易举qīngéryìjǔeasy to do
7. 飞旋fēixuán fly in circles
8. 飘忽piāohūmove swiftly
9. 飞翔fēixiángcircle in the air
10. 出神入化chūshénrùhuàreach the acme of perfec-tion
11. 难以置信nányǐzhìxìnincredible
12. 遵守zūnshǒu obey
13. 嗤笑chīxiàosneer at
14. 馋猫chánmāoglutton
15. 饿鬼èguǐhungry ghost
16. 嘬汤zuō tāngsuck (the soup)
17. 咀嚼jǔjuéchew
18. 文雅wényǎelegant
19. 教养jiàoyǎngupbringing
20. 话题huàtítopic
21. 承受chéngshòubear
22. 艰难jiānnánhardship
23. 嫉妒jídùjealous
"} {"image_path": "images/d7083b0f9cc16c060f484a7a70b027cb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
自然状态损 益 值计划方案$\\theta_1$$\\theta_2$$\\theta_3$$\\theta_4$
$A_1$$4^{\\#}$ 56 $7^{※}$
$A_2$$2^{\\#}$46 $9^{※}$
$A_3$5 $7^{※}$ $3^{※}$5
$A_4$$7^{\\ast}$66 $8^{※}$
$A_5$$3^{\\#}$6 $5^{※}$5
"} {"image_path": "images/134c2bce6d0d376d163d98a7d4ba821f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
種類耳十法聚身十法聚性十法聚命九法聚八法聚
性質明淨明淨非明淨非明淨非明淨非明淨非明淨
生因時節
作用聲之處門觸之處門區分性別
1地界地界地界地界地界地界地界
2水界水界水界水界水界水界水界
3火界火界火界火界火界火界火界
4風界風界風界風界風界風界風界
5顏色顏色顏色顏色顏色顏色顏色
6氣味氣味氣味氣味氣味氣味氣味
7味道味道味道味道味道味道味道
8食素食素食素食素食素食素食素
9命根命根命根命根
10耳淨色身淨色性根色
"} {"image_path": "images/5ee213344246f74c2f65e2cd5f80a693.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项 目 金额( × × 元)占基金总资产的比例 (%)
1权益投资
其中: 普通股
存托凭证
2基金投资
3固定收益投资
其中: 债券
资产支持证券
4金融衍生品投资
其中: 远期
期货
期权
权证
5买入返售金融资产
其中: 买断式回购的买入返售金融资产
6货币市场工具
7银行存款和结算备付金合计
...
合计
"} {"image_path": "images/0663df5da57dbfdccddab87e4326c1d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
剧幕名称主要内容
第一幕①▲纽约股票市场崩溃;企业破产,大批工人失业。
第二幕竞选总统竞选口号:幸福的日子又到来;就职演说等。
第三幕②▲③▲
第四幕度过危机经济逐渐恢复,社会危机逐步解除。
"} {"image_path": "images/635e8c2e3eb5e8c356416e0128ae6084.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Number of modesFirst frequencySecond frequencyThird frequency
116.78144* * * * * * * ** * * * * * * *
216.0084344.27073* * * * * * * *
315.8959440.3626074.66436
415.8302939.2122667.37527
515.8070538.5567964.70778
615.7894138.2181163.07738
715.7810737.9829862.12078
817.7740237.8373161.43141
915.7701437.7263960.96342
1015.7666737.6507360.59966
1115.7645737.5898660.33315
1215.7626237.5457360.11646
1315.7613637.5089159.94988
1415.7601737.4810459.81027
1515.7593637.4571659.69928
1615.7585837.4385259.60417
1715.7580337.4222259.52665
1815.7574937.4091859.45909
1915.7571037.3975959.40294
2015.7567237.3881559.35334
"} {"image_path": "images/6eeee6cb966cb532cd16d09a87a8810a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PlanetCore/planetCrater$E_{imp}$(J)Pressure(Pa)
NameDiameter(km)NameDiameter(km)
Tethyswith $core^a$(1060).42Odysseus(400)3.2E244.5E77.1E7
Rheawith $core^a$(1530).49Tirawa(350)5.4E233.1E64.0E6
Mimas(394)Herschel(130)3.0E214.2E7
Callisto(4800)Valhalla(400)1.0E259.0E6
Moonwith $core^b$(3600).11Imbrium(600)6.1E271.9E91.9E9
Mercury(4878)Caloris(1300)2.0E315.7E9
"} {"image_path": "images/21f74523f202ba61a4761beb8c87e2be.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variable12345678
1Managerial100
2Competitive56100
3Aggressive3246100
4Skeptical51254100
5Self-effacing-30-31-1036100
6Docile-Dependent0-21-141860100
7Cooperative-Conforming10-9-31-272144100
8Responsible-Generous12-15-6-8233446100
"} {"image_path": "images/078716df82d42c838ef89c7ff8d381d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
POSI-TIONVOLUMEOF CON-FINEDAIRHEIGHTOF AA BOVETABLEHEIGHTOF BA BOVETABLEDIFFER-ENCEBARO-METRICHEIGHTPRES-SUREPRES-SURETIMESVOLUMEDIFFER-ENCEFROMMEANPV
1
2
3
4
5
"} {"image_path": "images/daa9d3223dc154cf5f0d2678007c8dba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
内部招聘
优点缺点
改善人员闲置与人力不足的状况内部人员熟悉环境, 节省训练时间被升迁者士气高有利于员工能力评价某些工作的招募成本较低激励工作表现佳者 同质型太高未被升迁者的士气问题需要有很好的管理发展计划配合
"} {"image_path": "images/bdd6c9d10f92826b26476650f8c5d044.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1993 年的职业1988年
经济精英政治精英文化精英
所有身居权威职位的人70.739.344.2
高级政治官员1.510.81.3
高级管理者(公共部门)33.45.97.8
高级管理者(私人部门)19.2 4.01.4
高级文化官员0.41.819.3
低层管理者10.811.011.8
企业家5.45.82.5
职业人士4.716.927.4
工人2.213.43.3
提前离休 (低于 65 岁)14.720.911.1
其他退休者和失业者7.69.414.1
合计 (百分比)100100100
合计 (人数)5361186398
"} {"image_path": "images/30643e1a6046246287d0540b75188d80.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
认购任务数实际缴款数缴款占任务的%
工 商 界5 000 0003 941 59778. 83
爱 国 人 士650 000806 500124. 08
行 商400 00039 1359. 78
工 人220 000227 988103. 63
文 化 界60 00079 522132. 54
机 关 部 队60 000147 044245. 07
市 郊 农 村50 00023 76447. 53
市民(摊販在内)50 00055 897111. 79
学 生10 00010 959109. 59
妇 女10 00010 506105. 06
总 计6 510 0005 342 91282. 07
"} {"image_path": "images/ec265fdfc47c747802baeaab180f4b25.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
scale[skeil]
0121
"} {"image_path": "images/d1190e7dba27f15cc3a136616384c45e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
参 数说 明
penPen 对象,它确定线条的颜色、宽度和样式
x1第一个点的 x 坐标
y1第一个点的 y 坐标
x2第二个点的 x 坐标
y2第二个点的 y 坐标
"} {"image_path": "images/b8ba60fc86b128cf663d2e371b2cd5b1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
毫 米
$d$$d_{1}$$d_{2}$DLIS
M12 × 1.2544.516321314
M14 × 1.55.5 619.5361517
M16 × 1.57.5819.5381617
M18 × 1.59.5 1021.5421719
"} {"image_path": "images/b697b98d99dc4d7792b7ae39eaeb05e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
经常费用比较水塘多于水塔之费用利息增加(假定多费之利息为上比较增多数八三二, 五〇〇元百分之八) 六六, 六〇〇
修补费增加(假定多费之修补费为上比较增多数八三二, 五〇〇元百分之三) 二五,〇〇〇
总计九一,六〇〇
水塔多于水塘之费用运用费增加(变动速度机较固定速度机每年多出之费) 八〇,〇〇〇
总计八〇,〇〇〇
比较(水塘比较水塔多费之净数) ——,六〇〇
"} {"image_path": "images/2d1cb0898957a74322388afe4d799f3f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
水电站(个)$\\Sigma \\frac{L_{T} V_{T}}{H P}$判 据设置调压井(个)设置调压井(%)用以下措施替代的个数
加大隧洞直 径采用空放阀其他措施
567~245356336$3^ {(2)}$
3111~6022713$5^ {(1)}$2
3011~502170342
1611~31106232
1311~2796922
9 15~257782
"} {"image_path": "images/efe6356b3b7d3789ce2310b93a183fad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
d neravoir d nédésirerdésiraitcommuniquercommuniquer
tre(n')étaitvenirest venuprendrea pris
avoiravaitpreoccuperpréoccupés'asseoirs'est assis
saluer(J') ai saluéAttendreAttendezme faire asseoir(m')a fait asseoir
tre(j')étaisfaire(j')aie fait (ou fasse)se mettres'est mis
envoyerenvoyéeavoirauronstenir comptetenir compte
venirest venuepartirsera parti
"} {"image_path": "images/4e65a11de7bebd73dd0fc1ff4ca4a93b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
细胞周期项 目分裂间期分裂期
前期中期后期末期
染色体的行为变化染色体的DNA 分子的复制染色体缩短变粗着丝点排列在赤道板上,染色体形态数目清晰着丝点分裂为二,染色单体分成染色体移向细胞两极染色体均分两组 , 变成染色质,分配到两个子细胞核中
染色体数目变化44488
染色单体数目变化0→88800
DNA 分子数变化4→88888
"} {"image_path": "images/283c91a17d3f2d173c42a6cb83a5a30b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
输 入输 出
十 进 制 数AB CD
00000
10001
20010
30011
40100
501 01
60110
70111
81000
91001
"} {"image_path": "images/c2b88bb825515dee4c6d2206e19ab7c5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
混凝土标号石子規格毫米配 合 比,公斤塌落度厘米
水泥黄砂石子
1505~2526516502.4513104.911660.6272~3
2005~7030116302.0812244.111500.52
2005~403301567.61.7212713.85174.20.5282
2505~403501565.31.6151251.33.5751750.502
"} {"image_path": "images/b1debb4b11662217d20c659a80eb9fe4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
68197
715648
938
879317946
6185493
3?68
325189
8917354
15873
"} {"image_path": "images/9e09b35fc068cc0d6febd1b2d0fe7692.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table III. Computer-Aided Short-Circuit Study ResultsSymmetrical RMS Currents at Fault Locations of Protective Devices
Protective devicefault locationMaximal, subtransientsymmetrical rms kA$(I_{d}^{\\prime\\prime})^{M A X}$Minimal, subtransientsymmetrical rms kA$\\left(I_{d}^{\\prime \\prime}\\right)^{M I N}$Maximal, transientsymmetrical rms kA$(I'_{d})^{MAX}$Minimal, transientsymmetrical rms kA$\\left(I'_{d}\\right)^{\\text{MIN}}$
A33.41433.413N.A.33.413
B*6.4346.434(6.434)6.434
C*13.11812.871(12.263)9.338
D*12.03111.586(11.324)9.338
E*12.48412.284(11.527)9.338
F*13.27412.830(12.263)9.316
G28.98928.914N.A.28.099
H9.3409.307N.A.8.683
I11.66211.657N.A.9.399
J12.29110.783N.A.8.683
K34.39734.322N.A.28.099
N.A.-Not available from computer-aided short-circuit study.*-Computer results validated with hand calculations.{ *}- Result of hand calculation.
"} {"image_path": "images/3a061c1b466df13c603e2765d23a6f9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TFR in 1991Percentage Decline in TFR 1970 to 91
Below 3031 to 40Above 40
Above 5Pak(25,22,21)Nep( 4,12,13)Nic(47,26,..)Ken(10,20,58)Nig(20,14,39)Hon(29,22,71)
4 to 5Par(37,21,88)Bot( 8,28,65)Bol(41,32,71)Egy(42,28,34)SAl(42,40,..)Hai(20,..,47)Ban( 8,9,22)Mor(35,27,38)Alg(40,41,45)Els(40,23,79)
3 to 4Ven(78,38,95)Ind(20,22,34)Mal(27,25,70)CoR(40,24,93)$ \\begin{array}{l}\\text { DoR(40,26,82) } \\\\ \\text { Mex(59,29,85) } \\\\ \\text { Ecu(40,25,84) } \\\\ \\text { Phi(33,32,89) } \\\\ \\text { Tun(44,24,56) }\\end{array} $
2.5 to 3Arg(78,38,95)TrT(63,44,..)Chi(75,41,93)Pan(48,21,88)Jam(42,43,99)Col(57,28,86)Bra(56,38,80)Ido(17,19,62)
2.5 or BelowUru(82,37,96)SrL(22,24,83)Kor(41,29,93)Tha(13,25,90)
"} {"image_path": "images/e11184f82031d14eff446111416b0216.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号项 目 名 称 课 时 分 配
总 课 时讲 授讨 论实 训
5图样的表示方法422
6零 件 图22
7装 配 图422
8AutoCAD绘图软件241212
合 计60361212
机 动4
总 计64
"} {"image_path": "images/c4384bc0cdf478e8a1924155c2f35594.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
公称最大粒径(mm)类 型一档二档三档四档五档六档
19三档备料XG3G11G8---
四档备料 IXG2XG1G11G8--
四档备料 ⅡXG3G11G9G5--
四档备料$\\mathrm{Ⅲ}^{\\mathrm{a}}$XG3(1)XG3(2)G11G8--
五档备料 IXG2XG1G11G9G5-
五档备料$\\mathrm{Ⅱ}^{\\mathrm{a}}$ XG3(1)XG3(2)G11G9G5-
26.5四档备料XG3G11G8G3--
五档备料 IXG3G11G9G5G3-
五档备料ⅡXG2XC1G11G8G3-
五档备料$\\mathrm{Ⅲ}^{\\mathrm{a}}$XG3(1)XG3(2)G11G8G3-
六档备料 IXG2XG1G11G9G5G3
六档备料$\\mathrm{II}^{\\mathrm{a}}$XG3(1)XG3(2)G11G9G5G3
31.5四档备料XG3G11G8G2--
五档备料 IXG3G11G9G5G2-
五档备料 IIXG3G11G9G4G2-
五档备料$\\mathrm{Ⅲ}^{\\mathrm{a}}$XG3(1)XG3(2)G11G8G2-
六档备料 IXG2XG1G11G9G5G2
六档备料 $\\mathrm{II}^{\\mathrm{a}}$XG3(1)XG3(2)G11G9G5G2
"} {"image_path": "images/48085b1be370d990f5e3277e9e91868b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
期数应计利息折价摊销额实际利息费用末摊销折价债券账面价值
\\begin{array}{c}(1)=\\text{面值}\\\\\\times10\\%/2\\end{array}\\begin{aligned}(2)&=\\text{折价额}\\\\&/12\\end{aligned} (3)=$\\left(2\\right)+\\left(1\\right)$\\begin{aligned}(4)&=\\text{上期}(4)\\\\&-(2)\\end{aligned}\\begin{aligned}&(5)=\\text{上期(5)}\\\\&~+2\\text{或}=\\text{面值}\\\\&~~~-\\text{本期(4)}\\end{aligned}
838091620
150006985698768292318
250006985698698493016
350006985698628693714
450006985698558894412
550006985698489095110
650006985698419295808
750006985698349496506
850006985698279697204
950006985698209897902
1050006985698140098600
115000698569870289298
125000$702_{(注)}$$5702_{(注)}$100000
合计60000838068380
"} {"image_path": "images/8b57955cf3f50e86868286a26947a22b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Harrison (1992)279 retail managers acrossfirms in Singapore andAustralia$ 211/ 279=76\\% $NoNoNoSelf-rating of job relatedtension and satisfaction
Harrison (1993)279 retail managers acrossfirms in Singapore andAustralia$ 211/ 279=76\\% $NoNoNoSelf-rating of job-relatedtension and satisfaction
Dunk (1993a)118 manufacturing managersacross firms in Australia$ 79/118=66\\% $NoNoNoSelf-rating of performance
Gul & Chia (1994)100 managers acrosstelecommunication firmsin Singapore$ 48/ 100=48\\% $NoNoNoSelf-rating of performance
Ross (1994)308 managers across 18Australian organizations$ 215/308=70\\% $NoNoNoSelf-rating of job-relatedtension
Abernethy &Stoelwinder (1995)100 physician and nurse sub-unit managers in one largehospital in Australia$ 91 / 100=91 \\% $YesNoNoSelf-rating of sub-unitperformance, role conflict.and job satisfaction
Lau et al. (1995)240 functional heads ofmanufacturing firmsacross 80 firms inSingapore$ 112/240=47\\% $NoYesYesSelf-rating of performance
O'Connor (1995)282 Singaporean managersacross 62 manufacturingfirms in Singapore$ 125/282=44\\% $NoYes NoSelf-rating of power distanceand other behavioralvariables
Magner et al. (1995)56 diverse manager-participants from all overthe world in a 10-weekexecutive program forinternational managers$ 53/56=95\\% $NoNoNoSelf-rating of attitudetowards supervisor andorganization
Firth (1996)1,254 CFOs across Chinesefirms involved in jointventures with foreign firms $361/ 1.254=29\\%$ NoNoYesSelf-rating of changes tomanagement accountingsystems
Chow et al.(1996)61 US profit center managersand 37 Japanese divisionmanagers in one large USand one large Japanesemanufacturing firm58/61 US; 29/37Japan (87/98=89%)NoNoNoSelf-ratings of controltightness anddysfunctional effects
Fisher (1996)143 managers across ninedifferent industry groupsin Tasmania$98 / 143=69 \\%$NoNoNoSelf-ratings of scope andtimeliness of information
Chong (1996)78 senior managers ofmanufacturing companiesacross firms in Western$ 42/78=54\\% $NoNoYesSelf-rating of performance
"} {"image_path": "images/1b7528d630ec56c3847bd52276908418.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
說明変数モデル 3(t 値)モデル 4(t 値)
共通瞬間速度(km/h)-0.154(122)-0.106(61.4)
90 秒間移動平均速度 (km/h)-0.0230(21.0)
レベル1log(55Km/h以上の継続時間 (秒))-0.0759(4.56)
定数項 8.36(118) 7.00(81.4)
レベル2log(25km/h以下の継続時間 (秒))0.376(30.4)
定数項 3.70(123) 2.23(34.4)
尤度比 $\\bar{\\rho}^{2}$0.6270.649
的中率91.1 %91.6 %
閾値 (順調 — 順調ではない)54.3km/h
閩值 (渋滞 一 混雜)24.0km/h
"} {"image_path": "images/c5b1343f1d760fce3f15a43063ab0259.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
m = 1m = 2m = 3m ≥ 4
K=1trivialtrivialtrivialtrivial
K=2(no-passing)trivialO(n log n)NPHSNPHS
trivialO(n log n)NPHNPH
K=3trivialNPHSNPHSNPHS
K≥4trivialNPHSNPHSNPHS
"} {"image_path": "images/e9cd5e85432d165086948c5e599a1fe7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
v, derajat bebas(sample – 1)a
0,5000,2500,1000,0500,0250,0100,005
10,4551,322,713,845,026,637,88
21,392,774,615,997,389,2110,6
32,374,116,257,819,3511,312,8
43,365,397,789,4911,113,314,9
54,356,639,2411,112,815,116,7
65,357,8410,612,614,416,818,5
76,359,0412,014,116,018,520,3
87,3410,213,415,517,520,122,0
98,3411,414,716,919,021,723,6
109,3412,516,018,320,523,225,2
"} {"image_path": "images/5b644269fbf662b7fa0f1cb26f2dace8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年龄组存 活 子 女 数
012345 +总计
总 计3316984878468
<3 022452665967 32
3 0-3 96638387888483
4 0-4 96237583878483
"} {"image_path": "images/091b4f4e5b438d17746eb0b79c76d473.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
被 乘 数乘 数乘 积被 乘 数乘 数乘 积
4235423,802527
3842512,732413
1726034,730462
8502404,614263
3724708,510601
8047268,403269
2764083,250420
2389108,4906,007
积 的 和积 的 和
"} {"image_path": "images/6af3d0b74dde1267087f2410b7072a2d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
高频词发 音词 义引 申
renewed/rɪ'nju:d /adj. 更新的adj. renewable 可 再生的
photosyn-thesis/ˌfəʊtəʊˈsɪnθɪsɪs/n. 光合作用n. synthesis 综合,结合
condemn/kən'dem/v. 谴责, 指责condemn violence 谴责暴力
oxygen/ˈɒksɪdʒ(ə)n/n. 氧, 氧气v. oxygenate 氧化
transformation/ˌtrænsfə'meɪ∫(ə)n/n. 变化, 变换n. transformer 变压器
unrivalled/ʌn'raɪv(ə)ld/adj. 无敌的n. rival 对手
coherent/kəʊ'hɪərənt/adj. 紧密结合的n. coherence 一致
transcend/træn'send/v. 超越, 胜过adj. transcendent 卓越的
culprit/'kʌlprɪt/n. 犯人, 罪犯n. culpability 有罪
"} {"image_path": "images/cd2bb89aeec38eeeb1d77c09a864b51b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$d_{obs}$$d_{cale}$h k l$I/I_0$
-11.881 1 0-
9·049·1582 0 010
8·498·588$1 ~0 ~\\bar{1}$8
-8.1711 0 1-
-8.0620 1 1-
-7·9002 1 0-
-7·8100 2 0-
-7.5251 1 $\\bar{1}$-
7·227·2401 1 11
-7·1841 2 0-
"} {"image_path": "images/55af03072bbd8c29b75f22fc834f3567.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
杀草强甲状腺小白鼠
大白鼠
杀螨特小白鼠
胆囊
燕麦敌小白鼠
六六六小白鼠、大白鼠
乙酯杀螨醇肝、胃小白鼠
DDT、氟DDT小白鼠、大白鼠
淋巴瘤小白鼠
乐果白血病小白鼠
胃、肠、卵巢大白鼠
敌百虫白血病小白鼠
胃、肠、卵巢、乳腺大白鼠
七氯大白鼠
新青素小白鼠
注射部位大白鼠
绝育灵白血病大白鼠
敌草隆、伏草隆肝、胃肠道大白鼠
灭草隆小白鼠
"} {"image_path": "images/c223ab856e799cdd0bacfecf562c77a4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\Delta$T(deg)$c_{11}$$\\frac{1}{2}(c_{11} + c_{12}$$+ 2C_{44})$$c_{44}$$\\beta c_{11}$$\\beta\\frac{1}{2}(c_{11} + c_{12} $$+ 2C_{44})$$\\beta c_{44}$$\\beta c_{44}$
14.1803.7111.0086.96813.1680.6770.513
24.1753.7071.0067.28612.7060.7950.462
34.1713.7021.0047.35411.8940.8330.452
44.1683.6971.0027.26911.5240.9270.479
54.1643.6921.0007.12911.2141.0530.589
64.1613.6880.9987.09011.2841.2140.624
74.1573.6830.9966.99710.8291.2160.703
84.1543.6790.9946.91210.9801.4290.887
94.1503.6740.9936.85210.5031.3910.922
104.1473.6690.9916.85910.6331.5400.987
124.1403.6600.9876.81910.5881.6951.171
144.1343.6510.9836.87410.8861.9511.292
164.1343.6410.9807.00410.7822.1191.479
184.1203.6320.9767.21811.0852.3041.577
204.1133.6230.9727.42411.2202.4751.761
"} {"image_path": "images/abaafdaaf374a086edd1ca271c84417c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
蚤 种主 要 特 征动物宿主分 布传播疾病
卬鼠客蚤(开皇客蚤)Xenopsyllachcopis眼发达,眼鬃在眼的前上方,中胸垂直侧板杆发达,无颊栉与前胸栉,受精囊头部呈马蹄形,高度骨化褐家鼠、黄胸鼠、黑家鼠几遍布每个省,区鼠疫(腺)、地方性斑疹伤寒、长膜壳绦点
人蚤(致痒蛋)Pulexirritans眼发达.限鬓位于眼的前下方.中胸侧板狭窄,无垂直侧板杆,无颊栉及前胸带犬, 猫,猪, 兔,鼠类全国各地鼠疫(腺),长膜壳绦虫,犬双殖孔绦虫
不等单蚤(安尼蛋)Monopsyllusanisus眼发达.有前胸栉,无颊栉,受精囊头部向端部渐缩,尾部短小褐家鼠,黄胸鼠,黑家鼠,##狗,兔东北,内蒙古,华东,华南等地鼠疫(腺)、地方性斑疹伤寒
方形黄鼠蚤松江亚种Citello philustesquorumsungaris额赞列退化,只有一条,后头杀列只有一条,前胸背缘栉刺之长约等于前胸背板之长或稍超过之.可动突略呈三角形.受精囊椭圆形,尾部呈袋状达乌尔黄鼠,长尾黄鼠等东北,华北,西北地区鼠疫 (#)
谢氏山蚤(长须山董)Oropsyllasilanticwi眼圆而小,下唇须很长,超过前足基节末端一节半至二节.前胸栉刺的长度短于前胸背板的宽度,受精囊较小,尾部有很长的强度骨化部份旱獭内蒙古,青海,新疆等地鼠疫 (腺)
"} {"image_path": "images/8966dcba8289149e6e9a481ffb5c1214.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1.C2.A3.D4.B5.C6.C7.D
8.A9.C10.B11.C12.A13.B14. A
15.B16.C17.C18.B19.A20.D21.C
22.A23.B24.C25.A26.C27.A28.B
29.D30.B31.A32.D33.D34.B35.B
36.A37.B38.A39.D40.B41.A42.C
43.C44.C45.C46.D47.A48.B49.C
50.D51.A52.D53.A54.C55.D56.A
57.D58.A59.C60.B61.D62.C63.C
64.A65.C66.C67.A68.B69.C70.A
71.C72.C73.B74.D75.D76.A77.D
78.C79.C80.B81.D82.B83.D84.C
85.B86.B87.C88.D89.D90.A91.B
"} {"image_path": "images/0ec294b702600f63a5f7a1dddcb5f45c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PlanetDiameter atEquator(km)Distancefrom the Sun(million km)Period ofRotation(Earth time)Period ofRevolution(Earth time)Number ofKnownMoons
Mercury4,87857.958.64 days88 days0
Venus12,104108.1243.0 days224.7 days0
Earth12,756149.623.9 hours365.25 days(1 year)1
Mars6,786227.924.6 hours 687 days(1.88 yrs)2
Jupiter142,984778.39.84 hours4,333 days(11.86 yrs)63
Saturn120,5361427.010.2 hours10,759 days(29.46 yrs)33
Uranus51,1082869.617.9 hours30,688 days(84.02 yrs)27
Neptune49,5384496.619.1 hours60,181 days(164.8 yrs)13
Pluto2,3005900.06 days,9 hours90,470 days(247.7 yrs)1
"} {"image_path": "images/3079591d470b29213a8d804a64b5925e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
A) 160B) -0xcdfC) -01D) -0x48a
-0xffff01a9682e5
0110xe06680x
"} {"image_path": "images/2ed538c57b7a55fba2383ed156483e6a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DurationProbability of Occurrence$\\dagger$
0.500.200.100.050.020.01
3 months3901801005010-10(3)
2 months3201306520-20(7)-35(12)
1 month2409035-5(2)-35(12)-55(18)
15 days207572-38(11)-68(20)-88(25)
7 days19040-15(4) -55(16)-85(24)-105(30)
3 days17828-27(8)-67(19) -97(27)-117(32)
1 day17626-29(8)-69(20) -99(28)-119(33)
"} {"image_path": "images/d851d07c8f0b7a8cd2e71ce8e4db74e8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PANEL $\\blacktriangleright\\blacktriangleright\\blacktriangleright$ELEPHANT
CELL $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
BUT $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
CRI $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
CAR $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
GAR $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
LEAD $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
EN $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
PA $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
BE $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
PRO $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
ME $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
SUB $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
MAM $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
AN $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
NUM $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
PLA $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
CUR $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
BO $\\blacktriangleright\\blacktriangleright\\blacktriangleright$
"} {"image_path": "images/be914f1c1903a1630f22706a12b3d83c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
m=1m=2m=3m=4m=5m=6
i=00/10/20/30/40/50/6
i=11/11/21/31/41/51/6
i=22/12/22/32/42/52/6
i=33/1*3/23/33/43/53/6
i=44/1*4/24/34/44/54/6
i=55/1*5/2*5/35/45/55/6
i=66/1*6/2*6/36/46/56/6
"} {"image_path": "images/3244659a04b9306b1dbea3516d30b91c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CMnSiCrMo硬 度HRC
0.5~0.61.2~1.6$ \\begin{array}{l}\\\\ 0.45\\\\ ~\\sim\\\\ 0.60\\end{array} $0.6~0.9$ \\begin{array}{l}\\\\ 0.15\\\\ ~\\sim\\\\ 0.40\\end{array} $50
"} {"image_path": "images/27c87226d9ec93a8d29cf075d51f03e6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1952年56.05.021.917.1
1953年57.55.722.814.0
1954年62.8 12.319.65.3
1955年67.716.1 13.23.0
1956年67.532.5...
"} {"image_path": "images/4ba35d43f0c28ec4b9105b1ff3324de2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
责任单位划定面积其 中
一级保护区二级保护区
雄光村10351035
英北村915915
英南村315315
雄乡村998998
跨龙村10041004
东仁村14851485
敬和村15831583
威东村5353
镇龙村990990
东红村594594
威西村12681268
礼乐农场195195
合计1043510435
"} {"image_path": "images/d82de746b6b5cc8603a7d5209c5ffc66.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Massage Areas58Stretch Marks104
Head60Insomnia106
Neck64Elderly/Recuperative108
Face68 Wrinkles110
Shoulders72Post-operative/General
Arms74Injuries112
Hands76Self-massage114
Back80After Massage120
Legs86Rollers122
Feet90Candles124
Abdomen94Oil Burners126
Baby Massage98Conclusion128
"} {"image_path": "images/5bc20a06bbb77f2c51c2fd51e2f47bf2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
镇区别猪牛羊肉产量( 吨 )猪肉 ( 吨 )水产品产量( 吨 )
1996年1995年1996年1995年1996年1995年
樟 木 头21141141211411406047
清 溪10639721063972307181
塘 厦540649145392490212521024
凤 岗18637881863788321300
谢 岗163614361635143521801580
常 平688166836683650315391448
桥 头152415201511148716811601
横 沥297327382203203817581567
东 坑1391135513051263781618
企 石3238184132161818918815
石 排169214911692149111521097
茶 山170014901698148925232346
石 碣855874855874510492
高 啭24191627240716281075740
莞 城
石 龙829282926165
新 湾2521023750
"} {"image_path": "images/40d6ae9b4a5551dfa37a1c4c4c57b3ac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目上年数本年数
产品销售税金及附加1 0801 200
二、产品销售利润4 6004 700
加:其他业务利润6001 000
减:管理费用8001 000
财务费用200300
三、营业利润4 2004 400
加:投资收益300300
营业外收入100150
减:营业外支出 600650
四、利润总额4 0004 200
减:所得税1 3201 386
五、净利润2 6802 814
"} {"image_path": "images/ef232a7aab44542db32ebc33a39dfaa0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
t
0$\\surd$$\\circ$$\\circ$$\\circ$$\\circ$
1$\\circ$$\\surd$$\\circ$$\\circ$$\\circ$
2$\\circ$$\\circ$$\\surd$$\\circ$$\\circ$
3$\\circ$$\\circ$$\\circ$$\\surd$$\\circ$
4$\\circ$$\\circ$$\\circ$$\\circ$$\\surd$
5$\\surd$$\\circ$$\\circ$$\\circ$$\\circ$
6$\\circ$$\\surd$$\\circ$$\\circ$$\\circ$
7$\\circ$$\\circ$$\\surd$$\\circ$$\\circ$
8$\\circ$$\\circ$$\\circ$$\\surd$$\\circ$
9$\\circ$$\\circ$$\\circ$$\\circ$$\\surd$
10$\\surd$$\\circ$$\\circ$$\\circ$$\\circ$
11$\\circ$$\\surd$$\\circ$$\\circ$$\\circ$
"} {"image_path": "images/826c80a61d3125228c4fcaaf98bf44cd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
靶子材料产量 $\\left(E_i=600eV\\right)$[原子数/离子]换算溅射速率 (A/min)
Ag3.4026600
Al1.249700
Au2.43(500eV)19000
Co1.3610600
Cr1.30 10200
Cu2.3018000(实测值)
Fe1.269900
Ge1.229500
Mo0.937300
Nb0.655100
Ni1.5211900
Os0.957400
Pd2.3918700
Pt1.5612200
Re0.917100
Rh1.4611400
Si0.534100
Ta0.624900
Th0.665200
"} {"image_path": "images/b4f2b7e77813ca8272f56b3ca82a4b5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学校类别学校数(所)毕业生数(人)招生数(人)在校学生数(人)教职工数(人)专任教师数(人)
总计25146409557981884121910714575
高等教育45652150882384723131793
高等成人教育14701272256910074
中等专业学校393919356440389282
成人中等专业学校37792409299251
技工学校810808072449553325
职业学校8243618615465653448
普通中学10021385225777251778295762
高中3166598327245641362023
初中691472614250479532803739
小学12514138132907676572785914
"} {"image_path": "images/0196343d265b0aff1edae2a5b75dcb56.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
不良反应舒尼替尼(202 例)所有分度/III、IV度例数 (%)安慰剂(102 例)所有分度/III、IV度例数 (%)
任何不良反应68/202 ( 34 )22/102 ( 22 )
消化道系统
AST/ALT78 ( 39 )/3 ( 2 )23 ( 23 )/1 ( 1 )
碱性磷酸酶48 ( 24 )/7 ( 4 )21 ( 21 )/4 ( 4 )
总胆红素32 ( 16 )/2 ( 1 )8 ( 8 )/0
间接胆红素20 ( 10 )/04 ( 4 )/0
淀粉酶35 ( 17 )/10 ( 5 )12 ( 12 )/3 ( 3 )
脂肪酶50 ( 25 )/20 ( 10 )17 ( 17 )/7 ( 7 )
心脏
左心室射血分数减少21 ( 10 )/2 ( 1 )3 ( 3 )/0
肾/代谢
肌酐25 ( 12 )/1 ( 1 )7 ( 7 )/0
低血钾24 ( 12 )/1 ( 1 )4 ( 4 )/0
高钠血症20 ( 10 )/04 ( 4 ) / 1 ( 1 )
尿酸31 ( 15 )/16 ( 8 )16 ( 16 )/8 ( 8 )
血液学
中性粒细胞减少107 ( 5 3)/20 ( 10 )4 ( 4 )/0
淋巴细胞减少76 ( 38 )/016 ( 16 )/0
贫血52 ( 26 )/6 ( 3 )22 ( 22 )/2 ( 2 )
血小板减少76 ( 38 )/10 ( 5 )4 ( 4 )/0
"} {"image_path": "images/1075af051a17999021a9b60e43c3597d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
溶 剂不同温度下(℃)*$\\left[R_n\\right]\\scriptsize液$$/\\left[R_n\\right] \\scriptsize气$溶 剂不同温度下 (℃)$\\left[R_n\\right]\\scriptsize液$$/\\left[R_n\\right] \\scriptsize气$
180-18180—18
0 . 2850 . 5212 . 82
酒精6 . 178 . 2810 . 4己烷16 . 5423 . 435 . 4
丙酮6 . 37 . 9910 . 8二硫化碳23 . 1433 . 450 . 3
"} {"image_path": "images/ed8088766f7631e4cdf3ae2bc276d415.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
河 流第二松花江干 流位 置吉林省舒兰县半拉山屯南
坝 型坝 高
库 容装机容量
勘测工作年限1984·5~1984·11完成了规划阶段的勘测工作
"} {"image_path": "images/753abd9678108a21a72d8e43cc3b11ab.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
口诀类型口诀加数不进位加法进位加法
直接的加补五的加进十的加破五进十的加
儿上儿几下五去几几去几进一几上几去五进一
一上一一下五去四一去九进一
二上二二下五去三二去八进一
三上三三下五去二三去七进一
四上四四下五去一四去六进一
五上五五去五进一
六上六六去四进一六上一去五进一
七七七七去三进一七上二去五进一
八上八八去二进一 八上三去五进一
九上九九去一进一九上四去五进一
"} {"image_path": "images/6710e3b9ff2ed764dca131739a845703.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
64813
21871
73619
65182
4172698
4
847329
93487
72
"} {"image_path": "images/cfee8877a2c30faeee66787209cd40fa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
总股本国家股法人股个人股外资股/H股
8127.54887.53240
"} {"image_path": "images/ca75bb6cebe4b935033398d7b4ad066f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
𧜭
##
##
#
##
#
#
"} {"image_path": "images/0e9a66180905719e920f1f9bdd0499fe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 2.Capacitor Schedule for 30-node feeder
Node20%45%95
6600600600
700600 S
1000300 S
1300300 S
1500300 S
220600S600S+600 S
270300S300S+300 S
3000600 S
"} {"image_path": "images/c1ce1b399f82b3ee49a8fedd4d340189.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\begin{gathered}\\text { ルール } \\\\ h\\end{gathered}$前件部後件部
$k~_{\\text {const }}$$p~_c$ (k)$w~_h$
15
21
30
41
50
6-1
70
8-1
9-5
"} {"image_path": "images/db9cea58becd081d10d081f126314809.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
沈文选教 授金牌教练湖南师范大学
唐立华特级教师金牌教练华东师范大学附中
冯志刚特级教师金牌教练上海中学
冯跃峰特级教师金牌教练深圳高级中学
王树国高级教师金牌教练湖南师范大学附中
黄生训教 授金牌教练湖南师范大学
武建谋特级教师金牌教练长沙市一中
刘旭华高级教师金牌教练湖南师范大学附中
黄洪才高级教师金牌教练长沙市一中
彭大斌特级教师金牌教练长沙市一中
邓立新特级教师金牌教练长沙市一中
陈云莎特级教师金牌教练湖南师范大学附中
肖鹏飞特级教师金牌教练湖南师范大学附中
高建军特级教师金牌教练长沙市一中
黄国强特级教师金牌教练湖南师范大学附中
汪训贤特级教师金牌教练湖南师范大学附中
吴耀斌副 教 授金牌教练中南大学
向期中高级教师金牌教练长郡中学
曹利国高级教师金牌教练长沙市一中
"} {"image_path": "images/eb2cd720293f23c6ab1e9b853ac39c64.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
二 季第 三 季第 四 季
四 月五 月六 月合 計七 月八 月九 月合 計十 月十 一 月十 二 月
300400-300--30035010215125
5077415394,3121,3461,2031,7632,1847593801,045
6205701,0201,9651,00553043063535025035
1,3249301,7651,5651,057206302----
5.13.93.10.80.8--29.24.113.711.4
105.274.9142.1311.910412978.9456112154190
19.217.98.947.21612.518.737.115.112.49.6
4.6651.5216.359.3531041839291-
1624888--116382850
105120100----400100150150
1312.1126127769251727
1,1148123452,468966738764553301152100
987400-----400200200-
0.50.2-----0.20.10.1-
"} {"image_path": "images/ce3ce31ea400b740da4bec32fb46ea8e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
主 要 构 造 内 容工 程 量
数 量单 位
基础及埋深基石1.419.68立方米
外墙构造1分砖双清46.16立方米
捣制圈梁0.05立方米
柱及间距砖垛6米0.7立方米
钢筋混凝土吊车梁 Q=3 吨2.7立方米
地面构造水泥砂浆91.5平方米
楼板构造
天棚构造
门 窗木 制37.93平方米
屋架及跨度薄腹梁12米2.24立方米
屋 面卷 材102平方米
采暖方式上行下给式蒸气
给排木性质生活用水
电 照供电方式由车间动力配电箱引来
用电量瓦/平方米2
配线方式瓷瓶配线
灯具种类深照灯
开关方式集中控制
"} {"image_path": "images/6b8dfbbdd287ed57cd4474792ac0a62f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组份温度,℃$NH_{3}~^.$$H_2S$$CO_2 $$CH_4$ $O_2$$H_2$
087.54.6211.7130.055630.048700.02148
577.1 3.9351.4240.048050.042860.02044
1067.93.3621.1940.041770.038020.01955
1559.72.9131.0190.036900.034150.01883
2052.62.5540.8730.033080.031020.01819
2546.22.2570.7590.030060.028310.01754
3040.32.0370.6650.027620.026080.01699
"} {"image_path": "images/2839e94ea4b22ec2f71b235d8a00facd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目年限火警火灾重大火灾合 计(起)共损失(元)
起数损失折款(元)起数损失折款(元)起数损失折款(元)
1977 年663.924455392263373271939.9
1978 年2208214661021486
1979 年10108001010800
1980 年1212128031301
1981 年5348.18523801.321024149.5
1982 年5200 5 55679515513811112133
1983 年31893189
1984 年9333.7032790.7123124.4
1985 年212100002310000
1986 年951926295116814
1987 年62303851398743
1988 年11396.7634353144749.76
"} {"image_path": "images/a715f393677e6c457bc8f7386724c255.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
时间女子参赛大项女子参赛小项小项总数女子参赛小项占小项总数%
1948252222.7
1952262227.3
1956272429.2
19602112740.7
19643133438.2
19683133537.1
19723133537.1
19763143737.8
19803143836.8
19843153938.5
19883184639.1
19924255743.9
19944276144.3
19986316845.6
"} {"image_path": "images/bab3a910e9aeee27d36fc09be329f240.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号連 鑄 机 代 号台数电流类别发 电 机 组(一)发 电 机
台数型 号功率(旺)轉 速(轉/分)台 数型 号
1$ \\text{ A.} 4厂 850\\left(1^{*}\\right) $11JO-83-45514601$ J\\mathrm{O} -62-4 $
1Z-2904014501Z-85
2$\\mathrm{H}-3厂 1280$22$ J\\mathrm{O} 2-81-4 $4014602$ J\\mathrm{O} 2-62-4 $
2Z2-813514502Z2-62
3H-1厂130012$ J\\mathrm{O} 2-81-4 $4014602$ J\\mathrm{O} 2-72-4 $
2Z2-812614502Z2-72
4A-1厂1500(2*,3*)22$ J\\mathrm{O} 83-4 $5514602
2Z-2904014502
5$ S-1,^-2300 $21$ J\\mathrm{O} 2-91 \\ 4 $751470
1Z2-92651450
"} {"image_path": "images/f923e2a1d3ad65b8f073c2ce441e06b5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
测试内容测 验 因 素
流 畅 性变 通 性独 特 性
图形t = 4.35p<0. 001t = 4. 31p<0. 001t = 5. 78p<0. 01
符号t = 1. 626p>0. 1t = 5. 68p<0. 001t = 2. 63p<0. 1
语义t = 2. 03p<0. 05t = 4. 73p<0. 001t = 4. 35p<0. 01
"} {"image_path": "images/ff9c15de40ebaa68a90b7158b213d962.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
四十一四十
|孔十|子六卒。我介, |子|伯|子十侵|齊 |貢使|服五地。歸 爲|齊,|景
二 |氏。是 也。|景|鷔|齊一 稱|齊|公元|平四 |田自子年|公
三十三三十二
十二十一
|王自|公,|公|惠|子殺|白十復殺。|白攻|王。|西|令|公國。|惠|公|白|葉攻|尹|勝
三十八曰|心,|熒三[善。|子|惑十韋守七]
年 |蒯|衛|贖|莊元|公
(二殺|楚二一|湣 滅十五|公。|陳,三)二十二
十二十一
二十二二十一
十四十三
十七十六
"} {"image_path": "images/afb472cdc091ab9aa5d2adfb5c5fa148.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
历朝玉牒起迄时间进呈时间主持人史料来源
《太祖玉牒》建隆元年一开宝九年绍兴二十七年《玉海》卷五十一
《太宗玉牒》太平兴国元年一至道三年乾道三年叶颙《宋史·孝宗纪》、《宋会要稿》
《真宗玉牒》(一)咸平元年一景德四年乾道三年叶颙《宋史·孝宗纪》、《宋会要稿》
《真宗玉牒》(二)大中祥符元年一乾兴元年淳熙元年叶衡《宋史·孝宗纪》、《宋会要稿》
《仁宗玉牒》(一)天圣元年一天圣十年淳熙四年龚茂良《宋史·孝宗纪》、《宋会要稿》
《仁宗玉牒》(二)明道元年一庆历元年淳熙五年史浩《宋史·孝宗纪》、《宋会要稿》
《仁宗玉牒》(三)庆历二年一皇祐三年淳熙七年赵雄《宋史、孝宗纪》、《宋会要稿》
《仁宗玉牒》(四)嘉祐四年一嘉祐八年淳熙十三年王淮《宋史·孝宗纪》、《宋会要稿》
《英宗玉牒》治平元年一治平四年淳熙十三年王淮《宋史·孝宗纪》、《宋会要稿》
《神宗玉牒》熙宁元年一元丰八年庆元三年京镗《宋史·宁宗纪》、《宋会要稿》
《哲宗玉牒》元祐元年一元符三年淳熙七年赵雄《宋史·孝宗纪》、《宋会要稿》
,《徽宗玉牒》建中靖国元年一宣和七年嘉泰三年陈自强《宋史·宁宗纪》、《宋会要稿》
《钦宗玉牒》靖康元年一靖康二年开禧元年韩诧胄《宋史·宁宗纪》、《宋会要稿》
"} {"image_path": "images/f39e7886a6d7fcd02f979bef82476791.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
24.62688 g (weight of dish and suspended solids)
-24.6222 g (weight of dish)
00.0046 g (weight of suspended solids)
"} {"image_path": "images/9c029444a73ecd6dd15430de800aeb9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
部 门2014 2010减少数成本汇总成本(元/人)
MON247517270138 780514
EMB28522412 888537
FER393942549306 891 559
PEI771022515 425617
总计7451 613868473 984
"} {"image_path": "images/b395ea18ab6b81ac19067f4faef6587a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年份棉 花油 料总 产其中 : 花生油 菜 籽
面积单产总产面积总产面积总产
1949
19521.8170.3
19570.2120.30.01
1965
1970
19751.10.61.1
19781.10.61.1
"} {"image_path": "images/db14c9b7689cb19f7e292a1f518287c0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目起止年份周期序号周 期 长 度扩 张 长 度收 缩 长 度
实际长度平均长度标准差扩张长度平均长度标准差收缩长度平均长度标准差
1955--1963945
1964-1970743
1971--1977771.3440331.3
1978--1982541
1983--1989743
"} {"image_path": "images/ce523b5f061b814ee05db7a76cb656e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
00-10000
0060000
000-90000
00-40000
00210000
00-180000
0050000
"} {"image_path": "images/b55ab1c2412c9d7f6a9e3ae5382fd5a6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
總計工業科敎育學心理學生物學簿記升物地質社會學
三三
三二三五#二下期#二上期#二上期#二上期#二下期#二下期
三〇
三〇
"} {"image_path": "images/da58d0230c76ac01d51248b7b86f915e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
厚度(公厘)宽 度 (公分)
1214161820222426
100.1200.1400.1600.180----
130.1560.1820.2080.2340.260---
160.1920.1920.2560.2880.3200.352--
190.2280.2260.3040.3420.3800.4180.456-
220.2640.3080.3520.4400.4840.5280.572
250.3000.3500.4000.4500.5000.5500.6000.650
300.3600.4200.4800.4800.6000.6600.7200.780
400.4800.5600.6400.7200.8000.8800.9601.040
500.6000.7000.8000.9001.0001.1001.2001.300
800.9601.1201.2801.4401.6001.7601.9202.080
1001.2001.4001.6001.8002.0002.2002.4002.600
1501.8002.1002.4002.7003.0003.3003.6003.900
2002.4002.8003.2003.6004.0004.4004.8005.200
"} {"image_path": "images/025998c984c8764aa2b330e74f375079.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
款项名称 款 额 数 目款项名称款 额 数 目
丁 地44,088元559包 裹 税
漕 粮生 息
补 助 捐 18,757串678减 税
丁漕串票480串000滩 租1,270元
买当正税13,362元144杂 收
买当附税801元729
契 纸 价668元000共 计19,237串678 65,523元432
屠 宰 税786元000
牙 贴 税4,142元000
当 税
当 贴 捐
斗 捐414元
"} {"image_path": "images/347cd852348eced7618eac1a46e18aa1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MaterialFigure of Merit
Super-pure aluminium40
Commercially pure aluminiumabout 30
DTD 34D29
BA 60A 20
Duralumin20
Cadmium16
Lead16
Copper14
Nickel11
Zinc8
Silver6
"} {"image_path": "images/5816a714a235281ded650b5610f000b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LoadingstepProgram IProgram IIAnalysis 、results
$\\boldsymbol{V}_{\\text {cool }}$$V_{\\text {hold }}^{\\text {el }}$ $V_{\\text{cool}}^{\\text{pl}} + V_{\\text{def}}$$V_{\\Sigma}$$\\boldsymbol{V}_{\\text {cool }}$V'$V_{\\Sigma}$$\\boldsymbol{V}_{\\text {hold }}^{\\mathrm{pl}}$ $\\boldsymbol{V}_{\\text {hold }}^{\\mathrm{el}}$
0549
11042943722291118
21544362134457
32044973195675
41945376236083
"} {"image_path": "images/8f62681849965a7390f935c6b7b659d3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国 家就 业 人 数 比 重
农 业工 业建 筑 业商 业运输邮电其 它
中 国60185539
美 国321721642
日 本 825923629
英 国224620642
法 国723717640
泰 国6410311210
新加坡0.004296231032
"} {"image_path": "images/270e1525d070f14d32cb6ec0bb6a5f2e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
输 入功能
$\\bar{C_1}$$\\bar{S}_1$$\\bar{S}_2$C P$S_L$$S_R$$D_{0} \\cdots \\cdots D_{7}$
0××××××
1××_0×××
111#××$D_{0} \\cdots \\cdots D_{7}$
101#×1×
101#×0×
110#1 X××
110#0 X××
100××××
"} {"image_path": "images/be332856ab14c1cdea32502d69b29d7e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
肿瘤指数*肿瘤指数*
皮肤皮下皮肤皮下
苯并〔a〕吖啶0苯并〔a〕吖啶0
9-甲基02,9-二甲基-12-乙基0
12-甲基008,9-二甲基-12-异丙基0
10-苯基010,11-二甲基-12-异丙基0
8,9-二甲基002,8,12-三甲基-11-乙基0
8,12-二甲基79,10-四亚甲基0
9,12-二甲1108-乙基-10,11-四亚甲基0
8,9,12-三甲基008,12-二甲基-9-氯基320
8,10,12-三甲基362,8,12-三甲基-9-氯基0
8,11,12-三甲基0012-乙基-9-氯基0
9,10,12-三甲基?358-甲基-12-乙基-9-氯基0
9,11,12-三甲基008-甲基-12-异丙基-9-氯基00
3,8,12-三甲基810-氟基-12-甲基157
3,9,12-三甲基010-氟基-2,12-二甲基0
2,8,10,12-四甲基010-氟基-9,10-二甲基230 ¯
3,8,10,12-四甲基010-氟基-12-乙基0
10-甲基-12-异丙基010-氟基-12-正丙基0
8-苯基-12-甲基010-氟基-12-正戊基0
10-氟基-12-苯基0
"} {"image_path": "images/4145849653cf9de88395ab802c3b51dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
衡 量 構 面具 體 指 標平 均 值
可接近性1) 洽公場所內的服務項目標示明確且清楚3.47
2) 洽公機構之服務流程標示明確清晰3.35
3) 洽公地點位置交通方便3.47
4) 洽公地點有足夠的交通工具停放場所2.90
可接近性構面得分3.30
舒適性5) 洽公空間舒適寬敞3.23
6) 洽公單位之整體環境整潔且有序3.46
7) 洽公之服務窗口數目充分且足夠3.33
8) 洽公之服務設備規劃完善 (如:影 印 ·傳 真 等)3.34
9)洽公之等候區規劃舒適完善 (如:茶 水·報 紙 等)3.27
舒適性構面得分3.33
"} {"image_path": "images/eccca844500be37a9ced2528206f159c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
##dm
#口dl
miao
口艹田kal
口艹田kal
艹田二alf
艹田al
扌艹田ral
扌艹田ral
目艹田hal
目艹田hal
艹田勹一alqg
艹田鸟一alqg
木小丿sit
木小丿sit
目小丿hit
目小丿hit
禾小ti
禾小ti
水水水冫iiiu
水水水冫iiiu
"} {"image_path": "images/44b0864c3aa8915f7b53f0ecdb318484.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
フ リ ー ネ ス cc表面積 $cm^2$/g
70313,800
58620,400
36427,900
"} {"image_path": "images/f2a09b5c458990699dcec5a62b7a7102.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产 品 名 称规 格 尺 寸 及 公 差 (mm) 重 量$\\left(k_{g} / m^{2}\\right)$
厚 度厚度公差宽 度宽度公差长 度长度公差
热轧 2 号紫铜板40.45600-2035.60
热轧 3 号紫铜板4.50.45600-2040.05
热轧 4 号紫钢板50.45600-2044.50
5.50.45600 -2048.95
60.45600-2053.40
6.50.5600-201200以上-3057.85
70.5600-2062.30
80.56002071、20
90.65600-20 80.10
100.65600-2089.00
110.7600-20 97.90
120.8600.-20106.80
130.9600-20115.70
140.9600-20124.60
151600-20133.50
"} {"image_path": "images/1f87a92412d1c117bcf3afb3e0f4019a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目单 位方案 1方案 2方案 3
1. 投资总额万元1008675
2. 建成年限543
3. 需投入流动资金万元45.833.338.5
4. 经济年限101010
5. 每年产值万元260196220
6. 产值利润率%121512.5
7. 环境污染最轻
"} {"image_path": "images/2387c3236bd93c0ea6ed6bf6498c2a4d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\varphi / \\mathrm{v}$$\\Gamma_{\\Sigma}=10$$\\Gamma_{\\Sigma}=20$$\\Gamma_{\\Sigma}=30$
$n_1$$n_2$$n_1+n_2$$n_1$$n_2$$n_1+n_2$$n_1$$n_2$$n_1+n_2$
0.40.200.821.020.150.820.97
0.20.250.751.00.190.800.99
0.10.290.731.020.170.800.97
0.050.320.731.05
"} {"image_path": "images/9c092753d1fde1c5c4e014cc2ebf7b38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组 别羊数平均体重(公斤)平均投药量(剂量范围)(ml)体 内 检 出 虫 数: 平 均 (范 围)
血 矛 属奥 氏 属马 氏 属细 颈 属毛 圆 属毛 首 属食 道 口 属
对 照5 107.8(10-395) 144.2(10-409) 0.2(0-1) 270.2(0-971) 495.4(225-793) 2.6(0-10) 79.6(12-138)
$ 5mg/kg $$~~~组$537.3 0.23(0.22~0.25) 11(0-32) 17.2(0-41) 0.2( 0- 1) 42(0-200) 353.2(42-873) 1(0-3) 5.4(12-138)
驱 虫 率 (%) 93.5688.07084.4628.70-93.22
$ 10mg/kg $$~~~组$531.15 0.40(0.34~0.50) 26(0-55) 3.2(0-15) 1.2(0-3) 45.2(0-210) 435.6(1-1299) 1.4(0--7) 2.8(0-8)
驱 虫 率 (%)84.7897.780 083.2712.07-96.48
$ 20mg/kg $$~~~组$533.7 0.84(0.71~1.03) 7.8(0-14) 11.6(0-37) 0 14(0-20) 164.6(10-712) 0.2(0-1) 5.8(0-16)
驱 虫 率 (%)95.4391.96-94.8266.77-·92.71·
"} {"image_path": "images/d4422bb23fe43972148fb17f9fe32cfc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
+0123
00123
11032
22301
33210
"} {"image_path": "images/bb97195a975a172304ae357570a4f78b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
編 號篇 名著 譯 者刋 名卷 期出版年月
642論刑事訴訟法之補提上訴理由孫 德 耕法令月刋6:47-844.4
643最高法院之判例謝 瀛 洲法令月刋6:53-544.5
644發回更審之原因謝 瀛 洲法學 刋287-9045.4
645論第三審上訴中延長覇押與發還扣押物之裁定法院周 世 泰刑事法雜誌1:76-1146.11
646論刑事訴訟駁回逾期上訴或抗告之依據孫 德 耕刑事法雜誌2:46-1147.4
647論第二審判決書漏列上訴檢察官之補救方法孫 德 耕刑事法難誌2:628-4247.6
648法院對于已受請求事項未予判決其判決當然為違背法令周 以 文刑事法雜誌3:447-5048.4
649審判之違背法令于事實之影響陳 樸 生刑事法雜誌3:21-1148.2
650刑事訴訟法第三百六十八條實用之研究李 在 琦法學叢刋2265-6850.4
651初審與上訴王 雲 五法令月刋3:105-651.10
652第一審中心與第二審中心陳 樸 生軍法專刋13:22-1156.2
653非爲不服判刑而上訴之硏究卡 輻 元司法通訊319356.11
654上訴於第三審法院之理由胡 開 誠軍法專刋15:1219-1458.12
655論刑事訴訟法上不利盆變更禁止之原則李 聖 隆刑事法雜誌14:255-7059.4
656刑事上訴制度陳 樸 生法律評論37:42-460.4
657刑事訴訟之第二審與第三審陳 樸 生法令月刋22:104-760 10
658我 事實審二重之流弊張 鏡 影國 魂31939-4061.6
659刑事第三審之上訴(一)兪 兆 年法令月刋24:77-862.7
659刑事第三審之上訴(二)兪 兆 年法令月刋24:810-1362.8
659刑事第三審之上訴(三)兪 兆 年法令月刋24:99-1262.9
660第三審的構造與機能譚 木 盛軍法專刋19:1018-2362.10
"} {"image_path": "images/417b469cda81386fc515705614c9a5e3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
操作码(16 进制)类 型分 组功 能 描 述
0000测试单元就绪
03M0请求检测
12M0查询
15O0模式选择
16O0保留单元
17O0释放单元
18O0拷贝
1AO0模式检测
1CO0接收诊断结果
1DO0发送诊断
28M1接收
2AM1发送
"} {"image_path": "images/cca2a321ac395365c625e52c52a40a60.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
药 名途 径剂 量备 注
3克 林 霉 素(Clinda-mycnn)PO一般感染:10~20mg/kg·d,2~3次重症:20~30mg/kg·d,3~4次 作用似林可霉素,但效果大 4 倍副作用:与林可霉素同,但较轻
IM,IV$15 \\sim 30 \\mathrm{mg} / \\mathrm{kg} \\cdot \\mathrm{d}, 2 \\sim 3$ 次
4红 霉 素(Erythromy-cin)IV$ \\begin{aligned} & 0 \\sim 7 天 \\\\ & 20 \\mathrm{mg} / \\mathrm{kg} \\cdot \\mathrm{d}, \\text { 每 } 12 \\text { 小时 } 1 \\text { 次 } \\end{aligned} $ 为抑菌剂,治疗沙眼衣原体感染有效,抗菌谱与青霉素相仿而略广,很少进入脑脊液副作用:可引起胃肠不适,大便稀薄。本品在肝内代谢,口服无味红霉素可能产生肝毒性反应
>7天20mg/kg·d, 每6~8小时1次
静滴时间不少于60分钟
5万 古 霉 素( Vancomy-cin)IV$0 \\sim 7$ 天$20 \\mathrm{mg} / \\mathrm{kg} \\cdot \\mathrm{d}, 2$ 次 为灭菌剂,抗菌谱与青霉素 G 相近。对甲氧西林耐药金葡菌和表皮葡萄球菌有效, 对耐青霉素肺炎球菌也有效。不宜和氨基糖甙类合用标准品 1 mg= 1 000U副作用:当血浓度达60μg/ml 时产生毒性作用,耳毒和肾毒性,应注意肾功能。也可引起发热、皮疹
>7天30mg/kg·d,2次
静滴时间不少于30分钟
6甲硝唑(灭滴灵, Met-ronidazole)IV14mg/kg·d, 每8小时1次 对厌氧菌有效
PO$ 1 5 m g / k g \\cdot d , 每 8 小 时 1 次$
(五)抗结核菌类( Antitubrcu-losisagent)
1异 烟 肼(Isoniazid)PO$ \\begin{array}{l}10 mg/ kg\\cdot d,一次服(预防量)\\\\ 15\\sim 30 mg/ kg\\cdot d,一次服(治\\\\ 疗量)\\end{array} $ 对结核杆菌有灭菌和抑菌作用副作用:兴奋、皮疹、发热
IM$ 10mg/kg·d,$每8~12小时1次 (治疗量)
"} {"image_path": "images/9ea81e12fad99d6218cee054085eda3e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
t20°40°60°80°100°
P calc....0·005740·022480·071830·19560·46651
P obs. ...0·006050·022880·072250·19580·46661
△.........0·000310·000400·000420·00020·00010
s .........216·659·3019:817·7253·4221·677
t120°140°160°180°200°220°
P calc....1·9623·5716·1069·90715·3722·97
P obs. ...1·9603·5696·1189·92215·3522·88
△.........- 0·002- 0·0020·0120·015- 0·02- 0·09
s .........0·89270·50850·30600·19240·12530·08371
t240°260°280°300°320°332°·32
P calc....33·2346·7364·1586·27113·9134·1
s .........0·057000·039120·026800·017960·011110·005892
"} {"image_path": "images/a42415e9731ab92d47634fb7b4f5860b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\infty $00.10.20.40.60.81,0
$A_1 (1)$0,670,5820,4390,2640,1750,1170,086
$A_1 (2)$0,590,5070,430,3070,2150,1320,12
$A_1 (3)$0,2540,2060,1470,0780,050,040,03
$A_1 (4)$0,3240,3140,2910,180,120,0910,078
"} {"image_path": "images/ccb6a565567d34919825c07978c903cc.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
0B2
"} {"image_path": "images/f16c6cc611f2af1d033b8698002a33c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
DaysDiscreteConfluentHaemorrhagic
VaccinatedUnvaccinatedVaccinatedUnvaccinatedVaccinatedUnvaccinated
2$640^{*}(1)$640(1)10(1)40(1)Nil10(11)
310(2), 20(1),320(1)10(1), 10(1),40(1)NilNilNil10(11), 20(1),40(1)
410(1), 10(2),20(2), 40(1),80(2), 160(1),320(1),10(1), 10(1),40(2)80(1), 160(1)160(1), 10(1)Nil10(3), 20(2),40(2)
540(2) 80 (2)160(1) 320(1)10,(1) 10(1)80, 160(2)320(1) 640(1)10(1) 80(3)160(1) 320(1)Nil10(1)
610(2), 80(4),160(1), 320(2)80(2), 320(2),640(2)20(1), 160(4),320(2), 640(1)160(2)NilNil
7160(4), 40(1)80(2), 160(1),320(1), 640(1),160(3), 640(1)10NilNil
8160(2), 320(2)80(1), 160(2)10(1), 320(1)40(1), 80(1),160(1)NilNil
9320(1), 640(1)160(1)160(1), 640(2)160(1), 320(1),640(2)NilNil
1010(1), 160(1),320(4), 640(1)40(1), 80(2)10(1), 640(1)NilNilNil
11320(1)160(1)Nil640(1), 2560(2)NilNil
12NilNil80(2), 640(1),1280(2)320(1), 640(2),1280(3)NilNil
"} {"image_path": "images/2e91602bffa64baa6822639ae48dd739.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号公 司fac1_1fac2_1f
1万 科201219
2上 实 发 展1113
3苏 宁 环 球14410
4陆 家 嘴222323
5栖 霞 建 设19614
6北 京 城 建5148
7中 恒 集 团132221
8中 粮 地 产242424
9渝 开 发3197
10银 基 发 展121111
11绿 景 地 产4189
12天 创 置 业91512
13华 业 地 产21317
"} {"image_path": "images/4266b433a17968eec46bce84b6a4d7d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
实 验 序 号$R/Ω$$U/V$$I/A$
1$R = 20 Ω$10.05
220.1
330.15
4$R = 10 Ω$10.1
520.2
630.3
7$R = 5 Ω$10.2
820.4
930.6
"} {"image_path": "images/7f29f5e5cddbe961bfd2bae53fea47dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 度内 债外债
现 值 美 元1987 年不变美元占国内生产总值中的百分比
1950219.01,094.082.4不详
1955226.61,001.058.95.3
1960236.8907.846.910.0
1965260.8922.138.912.3
1970283.2818.328.714.0
1975394.7829.626.166.0
1980709.31,004.926.8121.7
1981784.81,000.229.4140.6
1982919.21,100.229.4140.6
19831,131.01,229.834.1160.1
19841,300.01,430.035.2175.5
19851,499.41,589.737.8222.9
19861,736.21,787.641.2265.5
"} {"image_path": "images/f61531ba9357e40df9ecaaa2ec4fa457.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
2411320724113207
5179211351792113
6231521962315219
1241682512416825
181022141181022141
2411320724113207
5179211351792113
6231521962315219
1241682512416825
181022141181022141
"} {"image_path": "images/38e9bf53a282729b219150be113b2fb2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mathcal{N}_\\underline{0}$точ-киИзмерен.угол $\\beta$,поправки,$~\\upsilon_{\\beta}$Исправлен-ный уголβ'Дирекцион-ный уголαРумбr Гориз.проложениеs
123456
$\\boxed{\\cdot}$B$\\alpha_{\\text{H}}$
-0,3331° 30,0'C3;28° 30,0'96,76
1111° 17,5'111° 17,2'
2
3
4
5
6
7
8
9
-0,4
$\\boxed{\\cdot}$B180° 00,5'180° 00,1'$\\alpha_{\\text{K}}$
331° 30,0'
1
"} {"image_path": "images/c0f88b7e610cf2d4b2ac9468970a14fd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
企 业 名 称产 量(平米)销售量(平米)库存量(平米)出厂价(元/平米)
平型弯型
钢化玻璃
中国耀华玻璃集团公司276002275985.00
佳木斯工农玻璃厂900560583549753.15
山西光华玻璃有限公司27732328853125.10
上海川沙汽车玻璃厂27130387082072765.0075.00
福建洋口钢化玻璃厂1328.132813475.0090.00
河南奔月集团公司60754060764244.9189.45
镀膜玻璃
中国耀华玻璃集团公司9100583898.96
河南奔月集团公司954658231467765.25
开原市玻璃厂5296884729.75
蚌埠浮法玻璃总公司 在线4060130005mm78.006mm88.00
南宁平板玻璃厂24.471999987.89
淮南市镀膜玻璃厂32103750256578.00
"} {"image_path": "images/1f5cc0a1cf2b4529c096f4f1efa4dbe0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
四分之一半頁一頁頁数廣告刊例
每號二元每號四元每號八元價目
"} {"image_path": "images/936395405a91caaacd6188448e56b6c0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
51-55 岁56-60 岁61 岁以上
其 中其 中其 中
教授副教授教授副教授教授副教授
63442681148251510
83626866271710
837383136816142
2414363033
1292107248141010
41301219
3610139
242332111
991656744919118
3011141032
3512149
12538680106644
651454624124168
21131611211
2576411
747611
10116853741752
721443031822
42713
982835884844
1815166
56354913566
"} {"image_path": "images/cfd2462fd147fa40b672a7cac77c5243.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$ 19\\times 9~年 $$ 19\\times 8~年 $$ 19\\times 9~年变动 $
收益表:
销售收入4 266 1003 984 000282 100
销售成本(2 304 400)(2 072 000)(232 400)
折旧费用(910 000)(760 000)(150 000)
其他费用(498 420)(470 800)(27 620)
汇兑损失(12 200)(10 000)(2 200)
少数股权收益(34 640)(23 800)(10 840)
净收益506 440647 400(140 960)
留存收益表:
年初留存收益997 400600 000397 400
净收益506 440647 400(140 960)
股 利(250 000)(250 000)0
年末留存收益1 253 840997 400256 440
资产负债表:
银行存款216 840140 00076 840
应收账款172 000233 600(61 600)
存 货654 000523 000 131 000
土 地450 000450 000 0
房 屋(净)1 340 0001 230 000110 000
设 备(净)2 866 0002 560 000306 000
商 誉192 000216 000(24 000)
资产合计5 890 8405 352 600538 240
应付账款696 160607 80088 360
应付票据 (长期)176 000 0176 000
股 本3 500 0003 500 0000
留存收益1 253 840997 400256 440
少数股权264 840247 40017 440
权益合计5 890 8405 352 600538 240
"} {"image_path": "images/b26d5a1041d10eb596e39fe4c27369a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ETOH
Path:EtOH
Pt:EtOH
Dx:EtOH
Tx:Stop EtOHTransplant
"} {"image_path": "images/0afd23f5f3a23a411772a9fb4e06e028.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Entry SubstrateProductYield of $\\mathbf{2}^{a}~(\\%)$
17a: R=Et8a95
27b: R=Me8b96
37c: R=Pr8c97
$4 \\quad$7d: R=hexylP893
57e: R=Bu8e92
67f: R=Ph8f$78^{b,c}$
7g8g
7化学结构式化学结构式$11^{d,e}$
"} {"image_path": "images/2ddcdd07dda575bac986150bdc00da52.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
航空模型运动員(國别)每次飛行中的飛行成積总 结
12345时間名次
林 得 湟 耳(西德)2.250.513.000.303.009.261
列 山 别 尔 格(西德)1.271.451.461.063.009.042
利 契 耳 遜(瑞典)3.000.281.440.353.008.473
尼 朗 尼(意大利)0.463.001.300.592.208.354
温 特 拉 烏 德(德國薩尔)1.281.030.473 002.088.265
尼 米 拉(芬蘭)1.340.431.282.042.298.186
巴 尔 特 什(瑞土)1.121.560.451.173.008.107
托 曼(瑞土)3.001.080.203.000.408.088
"} {"image_path": "images/5c3eeea5c171b653b933727f0b672c46.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
开宰爱 O坤巧丘弃
回每退 O□□ 乾虬
二声音二
良两向 O黑花香血
光广况 O黄华雄贤
丁井亘 O五瓦仰 □
兄永莹 O吾牙月尧
三声音三
千典旦 O安亚乙一
元犬半 O□ 爻王寅
臣引艮 O母马美米
君允巽 O目倪眉民
四声音四
刀早孝岳夫法 □飞
毛宝报霍父凡□吠
牛斗奏六武晚□尾
O O O 玉文万□未
五声音五
妻子四日卡百丙必
衰 O 帅骨步白葡鼻
O O O 德普扑品匹
龟水贵北旁排平瓶
六声音六
宫孔众 O东丹帝$\\blacksquare$
龙甬用 O兑大弟$\\blacksquare$
鱼鼠去 O土贪天$\\blacksquare$
乌虎兔 O同覃田$\\blacksquare$
七声音七
心审禁 O乃妳女$\\blacksquare$
O O O 十内南年$\\blacksquare$
男坎欠 O老冷吕$\\blacksquare$
O O O 妾鹿荦离$\\blacksquare$
"} {"image_path": "images/94b70179900f8859f0731b98f1eb3419.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编号评价项目活动前活动后活动成长正/负向
合计平均合计平均
1解决问题能力292.9464.61.7
2个人素质修养333.3454.51.2
3责沟通协调能力323.2464.61.4
4责任心363.6464.61
5自信心333.3474.71.4
6团队合作能力373.7464.60.9
7品管手法掌握程度212.1464.62.5
8积极性414.1464.60.5
"} {"image_path": "images/19bfd391eeaba89e0315ad81885f223e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
xy emp.y calc.
1213341331.4
1313801385.4
1414401440
1515191528
1615881587
1716341627
1816541650.5
1916631663
20$(1670)^18$1670
2I$(1673)^18$1673
2216761676
"} {"image_path": "images/991632dab5db5c9e4d834d1536ef374e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品级朝 冠朝褂朝 袍朝 裙领约采锐朝珠
三品命妇頂镂花金座。中饰红宝石一,上衔蓝宝石。同二品同二品同二品同二品同二品同二品
四品命妇頂镂花金座。中饰小蓝宝石,上衔青金石。同三品绣纹前后行鳞各二,中无囊积。后垂石青绦。杂饰惟宜。片金缘。上用绿缎下石青行蟒妆缎,正幅,有襞积。同三品同三品同三品
五品命妇顶镂花金座。中饰小蓝宝石一,上衔水晶。同四品同四品同四品同四品同四品同四品
六品命妇顶镂花金座中饰小蓝宝石,上衔砗磲。①同五品同五品周五品周五品同五品周五品
七品命妇顶镂花金座。中饰小水晶一,,上衔素金。同六品闻六品同六品同六品同六品同六品
"} {"image_path": "images/e785a5b64d1499c4732fe6b0edc90a83.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型号外形尺寸(mm)配套轴承型号重量(kg)
$d_{~o}$$d_{~2}$$B_{~3}$$d_{~2}$调心球轴承调心滚子轴承
H327236034029946023272CAK60.2
H327638036031049023276CAK69.6
H328442040035254023284CAK94.0
H328844041036156023288CAK118.0
H329246043038258023292CAK132.0
H329648045039762023296CAK150.0
H32/500500470428630H32/500166.0
"} {"image_path": "images/f2259e00d8dd7ac5e499887a779980b9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
LeaderDesignactivityJanFebMarchAprilMayJuneJuly
PeterTraining oflower-levelemployeesPlanned10%10%20%50%70%90%100%
Actual0%10%20%40%60%80%85%
SusanFormal jobdescriptionsPlanned
Actual
RubinManagementcoursePlanned
Actual
"} {"image_path": "images/f5c0190ae9334324ab2f5dba89bf89d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
资 产期末余额 负债及所有者权益期末余额
实收资本
盈余公积
未分配利润
所有者权益合计
资产总计负债及所有者权益总计
"} {"image_path": "images/35718cf95d3b11b4a6008f0aeaf7fa9a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
銀 行銀行董事会全部成員
大工业家其中經理
第一銀行339
三井銀行629
三菱銀行3311
第百銀行5210
安田銀行4311
住友銀行7613
\"昭和\"銀行3314
合計312277
"} {"image_path": "images/b92600906ff2de7edbf22c228e79213c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
车 型额 定 载 客 量运送能力 (客位/时)
满载系量 = 1满载系数 = 1.2
铰接式公共汽车140840010 080
大容量铰接式公共汽车165990011 880
快速有轨电车 : 四轴车140840010 080
两节四轴车28016 80020 160
六轴铰接式220 10513 20015 840
两节六轴式44029 400 31 680
八轴铰接式27016 20019 440
两节八轴车54023 40038 880
"} {"image_path": "images/f5ceb76594f5fc22d7a575855dd6213b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指 标等 级
标准得分标准得分标准得分标准得分标准得分
身高/厘米~1602.1160.1~2.5163.4~2.9166.7~3.3170~4
指距 - 身高/厘米~12.11.1~2.52.1~2.93.1~3.34.1~4
体型指数~592.159.1~2.562.4~2.965.7~3.36.9~4
手面积指数~1112.1111.1~2.5120.4~2.9129.73.3139~4
心功指数~132.712.9~3.211.2~3.79.6~4.28~5
憋气时间/秒402.740\"13.244\"13.7484.2525
纵跳/厘米~452.142.1~2.543.7~345.3~3.347~4
体前屈/厘米~18.62.118.7~2.520.6~322.5~3.324.3~4
体后屈/厘米~482.148.1~2.551.3~354.5~3.358~4
踝关节伸度/度~1722.1173~2.5177~3181~3.3185~4
踝关节屈度/度~982.197~2.593~390~3.387~4
指 标等 级
标准得分标准得分标准得分标准得分标准得分
克托莱指数/(克/厘米)~2602.1261~2.9275.1~4290.1~2.9310~2.1
"} {"image_path": "images/013f58b2ba2a178aefcc342a153bce31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Grade . I.HöchsterStand $86_\\frac{1}{2}{}^{\\circ}$$ \\begin{gathered} \\text { I I. } \\\\ \\text { Höchster } \\\\ \\text { Stand } 89^{\\circ} \\end{gathered} $$ \\begin{gathered} \\text { III. } \\\\ \\text { Höchster } \\\\ \\text { Stand } 87_\\frac{1}{2} \\end{gathered} $$ \\begin{gathered} IV . \\\\ \\text { Höchster } \\\\ \\text { Stand } 88_\\frac{4}{5} \\end{gathered} $$ \\begin{gathered} V . \\\\ \\text { Höchster } \\\\ \\text { Stand } 88_\\frac{1}{4} \\end{gathered} $
$88^·$
871′ 89″ 1′ 70″
861′ 0671′ 67″
8550″ 1′ 3″ 561′ 56″
841′ 2″ 5263641′ 8″
831 ′ 4″ 44434854
827345514444
816336444129
6440324240
795727
"} {"image_path": "images/040e431f1b9e9b2f2cd930b861267abb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Incubator massInitial egg mass
Different from order codesMeanOrdercodeOrdercodeMeanDifferent from order codes
26,23,22,21,20,18,17,16,15,14,13,12,11,9,8,7,6,5,4,3,14.4524144.421,3,6,7,8,11,12,13,14,15,16,17,20,21,22,26,27
26,23,22,21,20,18,17,16,15,14,12,11,9,8,6,4,3,14.501994.611,6,8,12,14,15,16,17,20,21,22,26,27
26,22,21,20,18,17,16,15,14,9,8,6,4,14.5627184.621,6,8,11,12,14,15,16,17,20,21,22,26,27
18,17,16,15,14,11,9,8,6,44.591054.621,6,8,11,12,14,15,16,17,20,21,22
24,19,16,15,14,9,44.6723244.631,6,8,11,14,15,16,17,20,21,22,
24,19,16,15,14,9,44.685104.651,6,8,11,14,15,16,20
27,24,19,18,16,15,14,11,9,8,6,44.6812194.686,8,11,14,15,16,17,0
27,24,19,16,15,14,9,44.6926234.706,8,11,14,15,16,20
27,24,19,16,15,14,9,44.7020264.724,6,8,9,11,14,15,16,18
4.7325274.744,6,8,9,11,15,16,18,20
244.737254.75
4.742124.754,5,6,8,9,11,15,16,18,
27,24,19,15,14,94.7521214.774,5,6,9,11,18
27,24,19,15,144.762274.774
27,24,19,16,15,14,12,10,94.7718-224.784,5,6,9,11,18,24
27,24,19,15,14,104.7817174.804,5,6,9,11,18,19,24
27,24,19,14,12,104.791124.81
24,194.823144.824,5,9,10,11,18,19,23,24,26
27,24,19,12,104.836154.854,5,9,10,11,12,18,19,23,24,26,27
27,24,19,12,104.848204.854,5,9,10,18,19,23,26,27
27,26,24,23,20,19,18,12,10,54.8516164.864,5,9,10,12,18,19,23,24,26,27
27,26,24,23,21,20,19,18,12,10,54.86934.874
27,26,24,23,22,21,20,19,18,17,12,10,4.871584.924,5,9,10,12,18,19,23,24,26,27
27,26,24,23,22,21,0,19,18,17,12,11,10,4.891464.944,5,9,10,12,14,15,17,18,19,21,22,23,24,26,27
244.9913114.944,5,9,10,12,14,15,17,18,19,21,22,23,24,26,27
27,26,24,2320,19,12,10,55.014134.994
27,24,195.07115.154,5,9,10,18,24
"} {"image_path": "images/e1c0f85e67d53b9ab3fe18ded4e676aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TermCharacteristics
Accel. X Load17 ton·g
Max. Displacement$\\pm 75$ mm
Max. Table Load7 tons
Max. Velocity45 cm/sec
Max. Acceleration2.4g (at15Hz)
Frequency Range0.1 90Hz
Wave FormSinusoidal Random
"} {"image_path": "images/b36eda956e18852e16350d5e2f4c75bf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
VariableAge
1314151617MissingTotal
DrinkingYes5 41 32 9 188
No836328185
Missing11
N1377641721174
"} {"image_path": "images/e9a939269dd134b8ed2956bf0e387ef9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
SCCORAARBARAORBORCR
0 64 03 70 10 1
"} {"image_path": "images/d04cbf71c88be48ddcab567fc2fad606.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$d_o \\,(\\mathring{A})$I
5·97$vvw$
3·77$m$
3·19$vs$
2·99$m$ —
2·91$vvw$
2·82$m$ —
2·35$s$
2·18$s$
2·09$w$
2·001$w$
1·973$vw$
1·890$w$
1·804$m$ +
1·768$m$
1·598$w$
1·477$m$ —
1·433$vw$
1·394$m$ +
1·296$w$
1·269$vvw$
1·177$w$
1·166$w$
"} {"image_path": "images/b95de63538bfb0d948acc49b4d85f6dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
PENET.III
(%)FREQ. OF CAP. DEF. (1/hrs)
0.017.62717.62717.627
5.020.10820.23933.261
10.020.06920.47339.128
15.018.76319.38248.772
20.017.54218.29958.839
25.016.05416.86764.712
"} {"image_path": "images/4fe5d6d8e3ea47653f590b39776dcab7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年别 人均收入( 元 ) x商品销售额 ( 万元 )yx y$x~^{2}$年顺序tt x$t~^{2}$
197924112645761241
198030154509002604
1981321444810243969
198234165441156413616
198338207601444519025
合计15876246651001550655
"} {"image_path": "images/012838b1444ada2ccdbfc72e6094a8e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机 械 开 采 法地 下 浸 出 法
坚 硬 岩 石 层 状 条 件 下
1.矿床的开拓1.矿床的开拓1.打钻孔
2.采矿层和采区的准备2.采矿层和采区的准备2.用化学试剂浸出
3.采区中矿石的崩落3.用爆破法破碎矿石3.用吸附法从溶液中提取铀
4. 从采区中运出矿石4.在地下采区中已碎矿石的浸出
5.矿石开采后形成空洞的充填5.吸附法从溶液中提取铀
6.矿石在地下的水平和垂直运输
7.矿石装至矿仓和矿石从矿仓中卸出
8.矿石运至水治厂
9.选矿
10.破碎
11.水冶方法提取铀
12.尾矿的运输和堆积
13.顺便采得的平衡表外矿石的运输和废弃13.运输和堆浸废弃的10—15%已采矿石
14.充填料的开采以及运至充填地点
"} {"image_path": "images/034b80861d8e09793a9d84c164319c9d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Critical ThinkingGrammarVocabulary BuildingFocus onTesting
Identifying reasonsfor immigrationEvaluating questionsfor appropriatenessClassifying emotionsUsing gerund subjectsUsing would and used toIdentifying and correctingparallelism problemsDeveloping vocabularyin a semantic field:emotionsUsing – ed and – ingadjectives[hy:图片]Using wh-ques-tions to developideas
Finding bases ofcomparisonCategorizing nounsAnalyzing word partsUsing both and neitherUsing comparativesand superlativesUsing while, incontrast, and on theother handDeveloping vocabularyin a semantic field:housingUsing antonymsto generate newvocabularyAnalyzing word parts[hy:图片]Organizinginformationbefore you write
Speculating abouta topicAnalyzing theorganization of anessayUsing the passive voiceVarying sentencestructure with with andunlike + noun phraseGiving reasons withbecause and because ofDeveloping vocabularyin a semantic field:spaceUsing suffixes to guessthe meaning of newwords[hy:图片]Writingdescriptions
Distinguishing factsand opinionsEvaluating an OutlineAvoiding the passivevoiceUsing pronouns tounify paragraphsDeveloping vocabularyin a semantic field:ceremonies and ritesof passageUsing word families todevelop vocabulary[hy:图片]Makingconnectionsbetween readingsand lectures
"} {"image_path": "images/ae36ea5d69009c70b56576e8fd021fe1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
要 素因 素因素权数要素指标权数
工作责任责任大小40%40%
决策和影响程度40%
管理幅度20%
工作技能基础知识水平20%30%
文字表达能力20%
组织协调能力30%
专业复杂程度20%
改革创新的要求10%
工作强度紧张程度35%20%
脑力消耗大小40%
工时利用率25%
工作条件接触有害因素60%10%
现场工作40%
"} {"image_path": "images/3172d883ee3c5a8f891ac9ed8f65c4b2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
焊机类别接头等级 试件总数/个宏观金相检验X 射线检验剪 切 试 验
数量/个要 求数量/个要 求数量/个要 求
点焊机一、二级1055 熔核直径应符合表 7-3 要 求,焊透率在20%~80%之间、压痕深≤15% , 无其他缺陷100 除允许有< 0.5mm的气孔外,无其他缺陷100 1. 强度值均大于表 7-2的要求2. 90% 的试件的强度应在$~F_{r}^{①}~$的 ±12.5% 范围内,其余的应在 $F_{r}~~~$的±20%范围内
三级不要求100 1.强度值均应大于表7-2的要求2. 90% 的试件的强度应在 $F_{r}$ 的20%范围内,其余的应在 $F_{r}$ 的 $25\\%范围内
缝焊机一、二级 $~300\\mathrm{~mm}^②$或 600mm$~~$长焊缝纵向 2横向 3 焊缝宽应大于表 7-3 的值,焊透 率 在 20% ~80% 范围内,压痕深度 < 15%全部除允许有 <0. 5mm 的气孔外, 无其他缺陷5大于母材强度的 85%
三级纵向 1横向 2不要求5 铝合金要求其强度大于母材抗拉强度的 80%~85%
"} {"image_path": "images/0029b2fee48be4cd3468d99db727cc1c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
诊断方法例别皮内变态反应調理素吞噬 試 驗細菌培养动物接种
例 1+-±*-
例 2-
例 3--
例 4-
例 5-
例 6-
例 7-
"} {"image_path": "images/9a5fcec167e39589603d5ee25cfb80a9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
具 稟 者時 間地 點事 由資料來源
中港、頭份等庄職員1、貢生2、監生9、佃戶8、眾舖戶21同治11.11.19竹南一保中港、頭份庄僉舉謝煥光接充總理(謝煥光住頭份街,生理度活)《淡新檔案》12214-2、8
街庄總理3、貢生1、監生3、莊耆3暨舗戶等光緒02.04.15竹南一保頭份街因頭份地區田少山多,人煙稠密,產谷無幾,殷戶太少懇恩津糴平糶,給示通流,以免阻撓《淡新檔案》14101-80
廩生1、生員4、監生6、增生1、童生12、職員2、暨眾紳民舖戶(舖戶51)光緒17.06.26竹南一保頭份街爲清丈察核除弊定章,以蘇民命,以裕國課事《淡新檔案》35512-6之1、6之2
總理1、庄鄰長10、舖戶永成號等5同治10.06.13竹南一保中港、頭份街庄為耕農胡阿苟等為本城鑄戶蘇景昌誣控私鑄,壅恩察釋,以免誣陷,而安善良事《淡新檔案》16506-3
通事、總理2、保長、貢生1、監生1、耆民2、業佃2、舖戶7同治12.11.23竹南一保中港、三灣稟送聯庄規條合約《淡新檔案》12301-6
墾戶2、貢生1、監生1、舖戶17、金東和同治13.03.22竹南一保三灣庄爲姜阿進誣控三灣在街舖戶劉石妹引賭毆搶,懇恩分别正風俗《淡新檔案》33311-10
童生1、監生陳拔運( 糖商)、陳拔壽等4、生員1、舗戶蔡和榮等2光緒16.閏2.25竹北一保大隘、雙溪莊僉舉蔡文光爲大陸、雙溪、月眉、南埔等處總理《淡新檔案》12243-1
"} {"image_path": "images/1fe9de1c534b9f437cbe1c68150ccae7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
保 存 时 间(小时)保 存 温 度 (℃)
102030
0100100100
4132137153
8130166157
2020517843
4810771.12.2
721207.80.7
"} {"image_path": "images/1a8c1526137562b6e295ce4165a9aa3a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
处理场区$\\text{B}_1$$\\text{B}_2$$\\text{B}_3$$\\text{B}_4$$\\text{B}_5$T
$\\text{A}_1$989
$\\text{A}_2$785500
$\\text{A}_3$407792
$\\text{A}_4$900355
$\\text{A}_5$1 000308111
"} {"image_path": "images/d0108b0ef553c8c1cbd804ceba93542a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Distancein mHot streams
ColdstreamsUnit1Unit2Unit3Unit4
Unit150200100300
Unit220050300150
Unit310030050100
Unit430015010050
"} {"image_path": "images/381edfa6bcb87cae63b3d3786c05a0c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Diameter.Number of Stars(49 squares). Log N(per square).$\\sqrt{ } d \\dagger$
501630·5227·07
305811·0745·48
2014591·4744·47
1523931·6893·87
1133391·8333·32
845181·9652·83
661762·1002·45
573482·1762·24
491562·2712·00
"} {"image_path": "images/cc5e11e14f5eef36cb19a8fa03063ad0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
中心频率〔Hz〕允 许 倍 频 带 级〔dB〕
480 min240 min120 min60 min40 min30 min
25098102108117120120
500929599105112117
1 0008688919599103
2 000838485889092
3 000828384868890
4 000828385878991
8 00087899299101105
"} {"image_path": "images/54eb0596cd807d28b4e279be02b7e978.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
纬 度(度)北 半 球南 半 球
$10^3公里^2$%$10^3公里^2$%$10^3公里^2$%$10^3公里^2$%
0—51739278.6473821.41679775.9533424.1
5—101663375.7533424.31690376.9506423.1
10—151655876.5508223.51721679.6442320.4
15—201493670.8616629.21615276.4500023.6
20—251335865.2714734.81545475.4505124.6
25—301175059.6795440.41544278.4426221.6
"} {"image_path": "images/82485f0dcead9f22e9a8c396d1e5cee6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
7459
6745
5674
4567
312
231
123
"} {"image_path": "images/1cd11377365297e001826f5442c2e2f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Variable AsianMean (SD) LatinoMean (SD) t (df)
Covariates
Mother education2.91 (1.11)2.99 (1.10) -.49 (169)
English language proficiency2.62 (.50) 2.65 (.51) -.45 (169)
Predictors
Ethnic collective self-esteem (10th grade)3.95 (.85)4.55 (.93)-4.36 (169)***
Ethnic collective self-esteem (11th grade)4.29 (.91)4.79 (.93)-3.49 (169)***
Ethnic collective self-esteem (12th grade)4.30 (.98)4.55 (.88)-1.72 (169)
U.S. collective self-esteem (10th grade)3.29 (.75)3.44 (.88)-1.20 (169)
U.S. collective self-esteem (11th grade)3.62 (.84)3.62 (1.04) .13 (169)
U.S. collective self-esteem (12th grade)3.62 (.84)3.60 (.80) .17 (169)
Outcome
Anxious-depressed symptoms (10th grade) .53 (.39) .41 (.35)2.17 (169)*
Anxious-depressed symptoms (11th grade) .42 (.37) .27 (.34)3.23 (169)***
Anxious-depressed symptoms (12th grade) .42 (.37) .26 (.29)3.29 (169)***
"} {"image_path": "images/0169f5cfc2f1ac19871125727ac2ea40.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项 目检查频度及单点检验评价方法质量要求或允许偏差
高速、一级公路其他公路
级配每2 000$m^{2}$一次在规定范围内
配合比每2 000$m^{2}$一次满足设计要求
含水率据观察,随时最佳含水率 ± 1%(二灰土为 ± 2%)
压实度二灰土 每一作业段或不超过$2 000m^2$检查六次以上≥95%≥93%
其他含粒料的石灰工业废渣基层 $\\geqslant 98 \\%$, 底基层 $97 \\%$ 或 $95 \\%$基层≥97%,基层95%或93
拌和均匀性随时观察无灰条、灰团,色泽均匀,无离析现象
无侧限抗压强度 稳定细粒土,每一作业段或每2 000$m^{2}$6个试件;稳定中粒土和粗粒土,每一作业段或每$2 000m^2$6个或9个试件符合规定要求
"} {"image_path": "images/985abecac1a4295b9b73c79eebdd1cbb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
YX123
11/61/91/18
21/3ab
"} {"image_path": "images/348b4f688838e8833fcda48fab3feb58.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
星期一星期二星期三星期四星期五星期六星期日
早餐 百 合 粥 (干百 合 10g,米25g)鸡 蛋 白 1个馒 头 25g 鸡 蛋 白 菜心 汤 面 条 (干面 条 50g,鸡蛋 白 1 个,菜 心 100g)牛 奶 160ml 白 粥 ( 米25g),蛋 卷 2个 ( 面 粉 75g鸡 蛋 白1个)牛 奶 160ml 鲜 牛 奶160ml马 蹄 糕 2 块( 约 50g )青 菜 汤粉 丝 ( 青 菜100g,粉 丝75g) 鸡 蛋 肉 粥( 鸡 蛋 1/2 个,肉 末 25g,米25g)水 晶 饼 2 个(麦 淀 粉 50g,甜 馅 15g) 薏 苡 仁粥(薏 苡 仁 25g,米 25g)鸡 蛋 白 1个花 卷 25g牛 奶 160ml 红 萝 卜 肉粥 (红 萝 卜100g,肉 末25g,米 25g)马 蹄 糕 2 块(马 蹄 粉 50g)鸡 蛋 白 1 个
加餐雪梨 200g 甜 藕 粉 羹(藕 粉50g,糖 15g)葡 萄 200g 甜 荸 荠 粉羹 ( 荸 荠 粉50g,糖 15g)苹 果 200g 水 晶 饼 2 个(麦 淀 粉 50g,甜 馅 15g) 火 龙 果200g
午餐 肉 末 青 菜水 晶 饺 子 5个(青 菜 100g,肉 末 30g,麦淀 粉100g)青 瓜 肉炒 粉 丝 (青瓜 200g,肉片 50g. 粉丝50g) 粉 丝 125g蒸 鲈 鱼 80g炒 白 菜200g 水 晶 西 米挞 4 个(麦 淀粉 50g,西 米50g)苦 瓜 炒鸡 片( 苦 瓜200g,鸡 片50g) 银 针 粉125g肉 丝 炒节 瓜( 节 瓜200g,肉 丝75g) 粉 丝 125g苦 瓜 焖 鸡( 苦 瓜 100g,鸡 肉 50g)炒 菜 心200g 炒 粉 丝 75g蒸 粉 果 4个(麦 淀 粉 50g,馅 料 50g)鸡 肉 丝 炒丝 瓜 (鸡 肉丝 50g,丝 瓜200g) 青 菜 汤粉 丝 ( 青 菜100g,粉 丝100g)南 瓜 焖排 骨 ( 南 瓜100g,排 骨100g)
加餐 马 蹄 糕 2 块(马 蹄 粉 50g)香 蕉 200g 甜 藕 粉 羹(藕 粉 50g,糖15g)雪 梨 200g 甜 麦 淀 粉糊 ( 麦 淀 粉50g,糖 15g)葡 萄 200g 甜 藕 粉 羹( 藕 粉 50g,糖15g)
"} {"image_path": "images/fe8582ec6740783e96c8fa83726063d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\mu_2$$\\mu_3$
0.20.92510
0.20.13280.18330.19270.19350.1935
0.9019080.52340.60930.62880.6307
50.19830.69100.90080.96040.9666
100.19860.70190.92150.98340.9898
"} {"image_path": "images/50a35dfe5042a752f674b6891f13e66a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓名牺牲时间牺牲地点职务现葬地点
佚名1935 年 4 月 7 日谷汪乡赖寨战士赖寨红岩冲蛇口坡
佚名1935 年 4 月 7 日谷汪乡赖寨战士赖寨红岩冲蛇口坡
佚名1936 年元月 26 日平越城内十字口战士烈士墓
佚名1936 年元月 26 日平越城内东街战士烈士墓
佚名1936 年元月 26 日平越滥木桥副营长烈士墓
佚名1936 年元月 28 日杨义司碾房战士杨义司
佚名1936 年元月 28 日杨义司碾房战士杨义司
"} {"image_path": "images/4653501d4e0058af44bc8c29c4d6e5a0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
24 (off 22)
4- 8 26- 1- 56-1520-2713-179-13
19 1517 1418 1131 1521 146 1
10-198-1216-1914-189-1813-17
24 1525-14 1023 16 15 1028 241 5
Q-12-167-1412-1918-255- 9Drawn
21 1715 10R -27 2430 2110 6Schaefer
"} {"image_path": "images/963826e8dbc30c778e398f858d7203b9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Percentage of companies that introducedpractice during specified time period
Before 19601960-19691970-19791980-19891990-1997
Empowerment1141481
Team-based Working1141677
Just-in-time Production2282365
Total Quality Management0131778
"} {"image_path": "images/2965421af256acc311616b1503a6515c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Nr.$P_{00}$$P_{10}$$P_{01}$$P_{11}$$P_{02}$$P_{12}$$P_{03}$$P_{13}$$P_{b3}$
1$-\\lambda $$\\mu_{2}$
2$\\lambda $$-\\mu_{1}$$\\mu_{2}$
3$\\mu_{1}$$-(\\lambda+\\mu_{2})$$\\mu_{2}$
4$\\lambda $$-(\\mu_{1}+\\mu_{2})$$\\mu_{2}$
5$\\mu_{1}$$-(\\lambda+\\mu_{2})$$\\mu_{2}$
6$\\lambda $$-(\\mu_{1}+\\mu_{2})$$\\mu_{2}$
7$\\mu_{1}$$-(\\lambda+\\mu_{2})$$\\mu_{2}$
8$\\lambda $$-(\\mu_{1}+\\mu_{2})$
9$\\mu_{1}$$-\\mu_{2}$
000000000
"} {"image_path": "images/957d1053885d130f33b38ffa5e983b07.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
学号姓名性别年龄院系
2009501001钱克非19数学
2009501003辛小明20计算机
2009501005王三风21数学
2009501002邓一鹏25数学
2009501008张洋洋23物理
2009501007王小小21计算机
2009501004钱克非24数学
2009501012王力20物理
2009501018王力19数学
"} {"image_path": "images/2e76a5689b36dd6e68cb04788d438740.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
砂轮外径砂轮孔径法兰盘外径D法兰盘环形夹紧表面的最小宽度C法兰盘高度
h孔径大于$ \\begin{array}{c}h_{1}\\\\ 槽处大于\\end{array} $
$225 \\sim 275$1501808.08.06.0
300 32薄片砂轮1008.010.04 6.0
751208.0
1251508.0
1501708.0
3507515010.010.06.0
12715010.0
16019010.0
400 32薄片砂轮15010.013.08.0
10015013.0
$ 400\\sim 450 $12717013.013.08.0
15020013.0
20324513.0
$ 225\\sim 229 $27013.0
500 32薄片砂轮17510.016.010.0
$475 \\sim 600$20324516.016.010.0
25429016.0
30535016.0
$650 \\sim 900$30536020.020.013.0
110030540025.020.013.0
"} {"image_path": "images/b6d7500265559f49dae6c40cc963e61a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
型 号断面尺寸
宽(mm)高(mm)角度
O10640
A12.78.740
B16.51140
C2213.540
D31.51940
E3825.440
F503040
"} {"image_path": "images/878b33836b846044eacea9f579b8865d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
333
32223
3211123
321A123
3211123
32223
333
"} {"image_path": "images/5a510ee841d3c0c0c61710d6f6b53cba.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
等级序号 项 目 名 称 主 要 完 成 单 位 主 要 完 成 者
24 青光眼视神经损伤机理的研究 北京市眼科研究所 北京同仁医院徐 亮 张士元杨 桦 李 杨张淑芳
25 糖尿病视网膜病变亚临床生物学信息的研究 中国医学科学院北京协和医院张承芬 赵明威杜 虹 姜茹欣费佩芬
26 表面角膜镜片术的系列研究中山医科大学中山眼科中心陈家祺 刘祖国冯春茂 杨 斌陈龙山
27 简化二步法深低温保存角膜技术及其临床应用的研究青岛医学院附属医院王传富 刘金刚孙为荣
28人类鼻气道阻力的研究白求恩医科大学第一临床学院李晓明 卜国铉郭晓峰
29乳突炎和胆脂瘤的系列性研究福建医学院易自翔 梁 平杨颈松 程金妹李志春
30发音障碍机制及有关生理的研究中国医科大学杨式麟 胡连生王丽萍 韩仲明牟连才
31牙外科正畸术的临床与实验研究北京医科大学口腔医学院耿温琦 王滨滨张旭光 翟新利李建广
32中缅树鼩、广西猕猴脑立体定位研究广西医科大学杨文光 罗裕群张沧人 陈培礼张唯嘉
33防龋食盐的研制和临床应用湖北医学院口腔医院樊明文 凌均启台保军 肖益东刘善立
34中国正畸钢丝的研制和应用首都医学院附属北京口腔医院 冶金部钢铁研究总院王邦康 万成绪纪昌蓉 姜春阳崔裕民
35Tamm-Horsfall蛋白在肾小管间质肾炎免疫发病机理中作用中山医科大学附属第一医院叶任高 侯凡凡李幼姬 姜 傥董秀清
36气道高反应性与隐匿型哮喘及其防治研究广州医学院广州呼吸疾病研究所钟南山 陈荣昌郑劲平 欧阳铭吴振英
37非溃疡性消化不良机理及临床研究同济医科大学附属协和医院张锦坤 易粹琼侯晓华 彭福平聂玉强
"} {"image_path": "images/5f3766aeb83b0b75520fef88166b0854.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
支線 l公 尺 Q公升/秒支線測壓管水頭高 II公尺$\\frac{1}{J}=\\frac{l}{H}$$\\frac{K^2}{1000}$ d公厘l.d
起 點終點
BF800516.84151.84163.044.07610030,000
BK7001016.84 151.84380.4338.043175122,500
CM2501515.73 141.73144.5132.51515037,500
DN6001013.80121.80333.3333.33315090,000
280,000
"} {"image_path": "images/cb65a460ec971b72d5d9d88da2a32f69.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
efghzabc
eefgzzabc
fffzzzbb z
ggzgzzczc
hzzzhzzzz
zzzzzzzzz
azzzazzzz
bzzzbzzzz
czzzczzzz
"} {"image_path": "images/990a55a2e84f110289c6f951488ce0f9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
站 名型号台数建 日站 期竣 工时 间 投资(万元) 投工(万个)扬程(米)灌溉面积(亩)加工现状
地多新房子50-621964 年1964 年1.61.2332520加工停用
岔河三队30-661970 年1970 年1.631.029566水毁
岔河四队30-641971 年1971 年0.710.638060加工水毁
大桥头40-651970 年1970 年1.911.21100110加工
大弥拖一队30-651967 年1967 年1.20.8773270加工
大弥撞二队40-6 41980 年1980 年1.630.5882160加工水毁
鲁溪大村30-611965 年1965 年0.250.12260加工停用
发明村40-631967 年1967 年0.520.3854140拆毁
茂山甸尾40-1881966 年1966 年10.96.4164515
六孔桥40-1841984 年1984 年5.934.6295200停用
茂山角营30-621967 年1967 年0.590.2848140
茂山回子箐30-621968 年1968 年0.470.2745100
"} {"image_path": "images/587227dfc455b2524764d97e1cd6a923.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$^{41}Ti$$^{46}Ti$$^{48}Ti$
$\\eta$ = 0orbit1.1471.0810.915
spin1.7991.6961.435
B $(M1) ^{b)}$8.6807.7155.524
$\\eta$ = 2orbit1.1011.0500.900
spin1.6671.5361.267
B (M1)7.6626.6874.697
$\\eta$ = 4orbit1.0321.0120.885
spin1.3471.2621.052
B (M1)5.6655.1713.752
$\\eta$ = 6orbit0.9840.9860.876
spin1.0531.0160.858
B (M1)4.1484.0103.010
"} {"image_path": "images/c9204c061302570e27db562d82e111e4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
收费部门或地方序号项 目
四川58石油基金
59中小水电建设基金
60森林资源专项资金
61农用化学工业发展基金
62专控商品附加
63林业发展基金
64企业扶持基金
65电网地方附加费
66农电大修基金
陕西67专控商品附加
甘肃68控购商品附加费
青海69特别消费品附加费
宁夏70计划生育基金
新疆71控购商品附加费
72消防设施购置基金
73甘草资源保护开发基金
"} {"image_path": "images/f7e8994eb8a31d00089eb0ab0638cb38.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
来源国家和地区网络扩展指数 (%)排名
瑞士25.801
荷兰21.792
英国19.593
法国19.934
德国18.895
意大利17.166
瑞典17.117
日本14.298
美国13.189
芬兰12.3010
加拿大8.5611
澳大利亚6.4212
西班牙5.8813
委内瑞拉2.6714
中国香港1.0715
网络扩展指数平均值15.63
"} {"image_path": "images/7602a798442240aae8c68fa3483fdc94.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
m = 1m = 2m = 3m = 4m = 5. . .mm + 1
k = 0248f (0, 4)f (0, 5). . .f (0, m)f (0, m + 1)
k = 11412f (1, 4)f (1, 5). . .f (1, m)f (1, m + 1)
k = 2016f (2, 4)f (2, 5). . .f (2, m)f (2, m + 1)
k = 3001f (3, 4)f (3, 5). . .f (3, m)f (3, m + 1)
k = 4000f (4, 4)f (4, 5). . .f (4, m)f (4, m + 1)
. . .. . .. . .. . .. . .. . .. . .. . .. . .
"} {"image_path": "images/ed686eaa578c0036dec8be7959d4f898.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$U_{1}$$U_{2}$$U_{3}$$U_{t}$
0.001.001.001.00
1.001.000.500.75
1.000.500.500.60
0.500.500.500.50
1.000.500.250.43
1.000.250.250.33
0.500.250.250.30
0.250.250.250.25
0.500.50~0.00~0.00
~0.000.50~0.00~0.00
~0.00~0.00~0.00~0.00
"} {"image_path": "images/86b29f52d7dd15c88780728329f9cf6b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
火管项目烤房容量土坯管陶瓦管或铁皮管
断面尺寸(cm)管长(m)总散热面积$(m^2)$内径$\\varnothing$(mm)管长(m)总散热面积$(m^2)$
150竿27×1610.513.862008
200竿27×168.314.82805
400竿34×2711.923.628012.5
"} {"image_path": "images/3faa38f4970af760d0190e38455054ee.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
village no.areapopulationvillage no.areapopulation
(1)(2)(3)(1)(2)(3)
13861520
24571510
36108115
4559510
5II61051
"} {"image_path": "images/91f7ddd850e834a7d0301ee54071e84e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
计量单位代码计量单位名称
023
025
026
027
028
029
030
031
032平方米
033立方米
034
035千克
036
037
038万个
039
040百副
041百支
"} {"image_path": "images/1eacda3b883df3dfc907264a03a0700d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
(缺)開化崇義
豐樂安仁長興
安業光福永樂
崇業靖善靖安
"} {"image_path": "images/2cd035b273cd6dfb7efb88376779a705.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国 家期 间支付的技术引 进 费(百万美元)平均年增长率%增长比$\\frac{(\\mathrm{PTT})}{(\\mathrm{GDP})}$
初年末年技术引进 费(PTT)国民生产总 值(GDP)
尼日利亚1963~196513.833.855.54.013.9
斯里兰卡1959~19702.09.236.03.99.2
阿 根 廷1965~197035.1115.826.93.96.9
巴 西1965~196942.591.020.96.23.4
印 度1959~196912.049.615.29.21.7
墨 西 哥1953~196814.7120.015.06.72.2
土 耳 其1964~19686.249.165.56.69.9
南斯拉夫1965~19700.65.450.55.39.5
"} {"image_path": "images/f91f2c8656e9c31c811fdc64a056ce29.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名 称地 址建筑年代道士(姑)人数教 产备 注(宗派)
房(间) 地(亩)
广福院宝泉山
灵湖院县治东南40里元末
初村观姜疃镇
龙泉院院上村
玉泉院小水岔村
祗园院元庄村
董埠院县治西南50里
望成观\"60里
丹阳观县治南60里金大定
三教院孙太庄元至元元年
卢山院卢山
东庄院院上村
阴山院阴山
峪泉院县治西70里明万历
福圣院县治西南百十里
游仙宫金皇统
望石庙
"} {"image_path": "images/ce89113b1b35e23a04e16a8568319a8e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
纸张规格: 787×1092纸张规格: 850×1168
开别成品尺寸开别成品尺寸开别成品尺寸
8257 x 37536$ 116\\times 188 $ 16$ 205\\times 280 $
16$ 186 \\times 260 $126×173横16$202 \\times 283$
横16$ 183 \\times 263 $40$ 103 \\times 186 $32$ 140 \\times 203 $
18171×245$ 130 \\times 148 $横32$ 137 \\times 206 $
20188×2084892×17264101 x 137
24$ 170 \\times 186 $122 x130横64$ 98\\times 140 $
25$ 148 \\times 205 $50$ 101 \\times 145 $
27$ 135\\times 203 $6085 x 150
28$ 132\\times 210 $$101 \\times 125$
$ 148\\times 184 $64$92\\times 130 $
32$ 130 \\times 184 $100$ 75\\times 103 $
横32$ 127\\times 186 $12862x90
"} {"image_path": "images/36b8cc19a84856b577d74148fd250fd0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
直 徑(d)長 (L) 度
最 小 值最 大 值
21035
31250
41860
53080
635100
840130
1040160
1350200
1660250
"} {"image_path": "images/f70dd23061897096982968b57b6875ad.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
查检日期数量项目名称2012.11.05~2012.12.042012.12.05~2012.12.22合计百分比累计百分比
手术室外等候时间长971680. 00%80. 00%
患者未及时送到1015. 00%85. 00%
手术材料准备不足0115. 00%90. 00%
麻醉清醒过程以及患者不适反应1015. 00%95. 00%
患者资料遗漏1015. 00%100. 00%
★ 数据收集时间: 2012 年 11 月 5 日 ~ 12 月 22 日★ 数据收集地点: 手术室★ 检查表填写者: 手术医生★ 查检表填写方法: 计数
"} {"image_path": "images/3af770a4f78eb1a85ba02497211d8081.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
名称 性 质二水石膏半水石膏无水石膏
α型β型III型II型I型
分子式$\\mathrm{CaSO}_{4} \\cdot 2 \\mathrm{H}_{2} \\mathrm{O}$$ \\mathrm{CaSO}_{4} \\cdot 1 / 2 \\mathrm{H}_{2} \\mathrm{O} $$ \\mathrm{CaSO}_{4} \\cdot 1 / 2 \\mathrm{H}_{2} \\mathrm{O} $$CaSO_{4}$$CaSO_{4}$$CaSO_{4}$
二水硫酸钙生石膏α半水石膏α半水硫酸钙高强石膏熟石膏β半水石膏β半水硫酸钙熟石膏Ⅲ型无水石膏Ⅲ 型 无 水 硫酸钙可 溶 性 无 水石膏Ⅱ型无水石膏Ⅱ型无水硫酸钙慢溶无水石膏不溶无水石膏硬石膏I型无水石膏I型无水硫酸钙高温无水石膏
相对分子质量172.17145.15145.15136.14136.14136.14
$结晶水$$含量/ \\%$20.936.216.210.000.000.00
稳定存在的温度范围/℃<40℃亚稳亚稳亚稳$ 40^{\\circ} \\mathrm{C} \\sim 1180^{\\circ} \\mathrm{C} $$ >1180^{\\circ} C $
密度/(g/cm³)2.312.76$2.62 \\sim 2.64$2.582.93~2.97
莫氏硬度1.5--3~4
晶系单斜晶系菱形晶系菱形晶系六方晶系菱形晶系
水化热(25℃)$/ (\\mathrm{cal} / (\\mathrm{g} \\cdot \\mathrm{mol}))$-4100-4600
3℃时水中的溶解度/(g/mL)0.8251.006
结晶形态密实海绵状
内比表面积
标准稠度水膏比
"} {"image_path": "images/b0a50c19303c8b87dd1152fd0ce3e7f5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
pH 值 0.1mol/L碳酸钠溶液/mL 0.1mol/L碳酸氢钠溶液/mL
20℃37℃
9.168.7719
9.409.1228
9.519.4037
9.789.5046
9.909.7255
10.149.906 4
10.2810.0873
10.5310.2882
10.8310.5791
"} {"image_path": "images/ada8199edbd5341da5d51098da83987d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号项 目指 标
1冲渣水量 $(m^{3}~/h)$55
2高炉烟气净化废水量 $(m^{3}~/h)$100
3基建投资 (万元)40.82
4工程造价〔元/($m^{3} ~水 \\cdot d$)〕153.60
5设备装机容量 (kW),280
6设备工作容量 (kW)167.50
7电耗 〔KW} / ($m^{3}~水 \\cdot h$)〕0.052
8占地面积 $(m^2)$1308
9建筑物面积 $(m^2)$127
10构筑物面积 $(m^2)$1190
11劳动定员 (每班) (人)7
12年运行费用 (以330天计) (万元)8.49
13处理成本〔$元/m^{3}水$〕067 ~ 0.10
14年产渣量 (t)25000
价值 (万元)20
15烟气作燃料年节煤 (t)3000
价值 (万元)1.50
"} {"image_path": "images/aba5e2fde9f5233a699b98fa19c2f454.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
C. 频 率 (%)
0.010.1 152050809599
3.010.347.154.022.020.42- 0.40- 0.62- 0.66- 0.67
3.210.747.364.082.010.39- 0.42- 0.60- 0.63- 0.63
3.411.147.584.151.990.35- 0.42- 0.58- 0.59- 0.59
3.611.547.804.22 1.970.31- 0.42 - 0.55- 0.56- 0.56
3.811.748.024.281.950.28- 0.42- 0.53- 0.53- 0.53
4.012.348.244.341.930.24- 0.42- 0.50- 0.50- 0.50
4.212.748.444.401.900.20- 0.42- 0.48,- 0.48- 0.48
4.413.118.654.451.870.16- 0.41- 0.45- 0.46- 0.46
4.613.508.854.501.820.12- 0.40- 0.43- 0.44- 0.44
4.813.869.034.551.760.10- 0.39- 0.42- 0.42- 0.42
5.014.239.204.591.690.08 - 0.38- 0.40- 0.40- 0.40
"} {"image_path": "images/7e0d0049988c47be8e0043b1499296f7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Machine ToolHolonObjectivesMachine Types
Case ACase B
MC1EfficiencyAcauracyType 1
MC2AoauracyEfficiency
MC3EfficiencyAcauracy
MC4AcauracyEfficiencyType 2
MC5EfficiencyAoauracy
MC6AcauracyEfficiency
MC7EfficiencyAoauracyType 3
MC8AoauracyEfficiency
MC9FficiencyAcauracyType 4
MC10AoauracyEffciency
"} {"image_path": "images/182cd9366d236b126bc12ee462cdc83b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Pressuretappinglocation$\\text{Wind angle (°)}$
0306090
10.580.20-0.07-0.32
20.890.560.11-0.39
30.930.690.18-0.54
40.890.780.19-0.72
50.650.900.08-0.70
6-0.53-0.61-0.740.31
7-0.48-0.59-0.77-0.43
8-0.47-0.58-0.92-0.61
9-0.47-0.58-1.03-1.01
10-0.52-0.62-1.08-1.35
11-0.41-0.43-0.58-0.30
12-0.39-0.42-0.57-0.41
13-0.34-0.40-0.58-0.52
14-0.37-0.39-0.58-0.72
15-0.40-0.37-0.52-0.70
"} {"image_path": "images/0254c6d9d0f68abc577abfe6c34c41e9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
参 数 名 称参 数 的 值
2kV 方案6KV 方案
输出功率 (W)4560
输出电压系列 (kV)0.5; 1; 1.5; 2 1; 2; 3; 4; 5; 6
铁心$R2K, 0D20 \\times 12 \\times 6 - 4$ 个$R2K, 0D20 \\times 12 \\times 6 - 6$ 个
试验电压 (V)600013000
漏感 (H)$20 \\times 10^{-5}$$10 \\times 10^{-4}$
绕组间分布电容 (F)$75 \\times 10^{-12}$$160 \\times 10^{-12}$
脉冲前沿宽度 (s)$0.2 \\times10^{-6}$$0.35 \\times 10^{-4}$
效率 (%)9896
比体积 $(W / dm^3)$ 300150
比重量 (W / kg)230200
"} {"image_path": "images/a60c71d34c23e37cbe5237845daed00d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
"} {"image_path": "images/c9f9c5264da78dbd4a59220dc3512ca7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国家或地区北京时间当地时间
开市时间收市时间开市时间收市时间
中国9:00 11:309:0011:30
13:3015:0013:3015:00
中国香港10:0012:3010:0012:30
14:3016:0014:3016:00
英国冬令 16: 30-17: 3023:00冬令8:30-9:3015:00
夏令15:3023:00夏令7:3015:00
德国15:3023:008:3016:00
法国15:3023:008:3016:00
美国冬令22:304:30冬令9:3015:30
复令21:303:30夏令8:3014:30
日本8:0010:009:0011:00
11:0014:0012:0015:00
韩国8:0010:009:0011:00
11:0014:0012:0015:00
菲律宾9:3012:009:3012:00
泰国10:3013:309:3012:30
15:0018:0014:00 17:00
"} {"image_path": "images/675634b9e3ffa9810c35d310984860cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1994199519961997199819992000200120022003
Sheep meat
PSE(mn ZAR)823638311497517423828218-255128
Percentage PSE6151274244294613-136
Producer NPC2.531.991.361.711.781.411.851.150.881.03
Producer NAC2.572.031.371.711.791.411.851.160.891.06
Poultry meat
PSE(mn ZAR)2763963831 028134415-42854
Percentage PSE798180000-40
Producer NPC1.081.161.091.211.001.001.001.001.001.00
Producer NAC1.081.101.091.211.001.001.001.000.961.00
Eggs
PSE(mn ZAR)0-97034114-20816
Percentage PSE0-8000000-70
Producer NPC1.001.001.001.001.001.001.001.001.001.00
Producer NAC1.000.931.001.001.001.00、1.001.000.931.00
"} {"image_path": "images/6e2a0c078ae547a879cca27a8d4be000.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
日语形式汉译形式 是否比喻词日语形式汉译形式 是否比喻词
藍(あい)①(植物)蓼蓝。②蓝色。[+]青(あお)①(名)青色。蓝色。②绿色。
青色(あおいろ)青色。蔚蓝色。青み(あおみ)青色。绿色。
赤 (あか)①红。红色。②红褐色的。粉红色。朱红色。茜色(あかねいろ)深红色。+
浅葱(あさぎ)淡绿色。淡蓝色。+小豆色(あずきいろ)黑红色。+
油 色(あぶらいろ)红黄色。琥珀色。+飴色(あめいろ)米黄色。琥珀色。+
暗紅色(あんこうしよく)暗红色。暗色(あんしょく)暗色。
薄墨(うずずみ)淡墨(色)。淡黑(色)。+薄肉(うずにく)浅红色。浅肉色。+
江户紫(えどむらさき)蓝紫色。えび染(えゆぞめ)浅紫色。+
"} {"image_path": "images/ac716230e80fb3aa990f4611cc13e0f1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
部别二营七连五连一营营部一连
阶级
职别战士战士战士副排长通讯员排长班长班长班长班长
姓名别应发张子和白永宁邹其佐刘文先陈文光周子敬刘金山张杰马荣
年龄22261823202233242042
籍贯山西朔县山西怀仁山西崞县湖北石首谭家湾四川巴州青安渡福建上杭县白五乡村河南卫辉陕西延安四川成都山西大同
受伤日期7 月7 日7 月7 日7 月7 日38 年8 月4 日8 月4 日8 月4 日8 月4 日8 月4 日8 月4 日8 月4 日
受伤部位头部腹部胸部腰部头部腰部胸部头部胸部
伤名炸伤贯通炸伤贯通炸伤贯通
阵亡地点新广武朔县泥河
备考
"} {"image_path": "images/195c4b924879f875775db5faeb6a086e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CasenumberProfileusedSpecial characteristics Figurenumber
1P1LRepetition of the Eady mode3
2P1Effect of $d^2\\bar{u}/dz^2$ > 0 in the lowerlevels on the IS3
3P2LEady mode with smaller $\\mathit{S}$4, 5
4P2$d^2\\bar{u}/dz^2$ > 0 throughout4, 5
5P3Small $\\mathit{S}$ and $d^2\\bar{u}/dz^2$ < 0 throughout6
6P1Reduced fuid depth3
7P1$\\eta = \\eta_1$, heating maximum in theupper troposphere8
8P1$\\eta = \\eta_2$, heating maximum in themiddle troposphere8
9P1$\\eta = \\eta_3$, heating maximum in thelower troposphere8
10P2$\\eta = \\eta_4$, same as case 4 but withupper tropospheric heating10
11 ${ }_o$P3$\\eta = \\eta_4$, same as case 5 except withupper tropospheric heating6, 11
12P1L$\\beta \\neq 0$, Eady-Charney mode12
13P1$\\beta \\neq 0$, Eady-Charney mode modifiedby curvature12
14P1As in case 13 except $η_4$ included12
15P1As in case 13 except $l = k$12
16P2As in case 10 except $\\beta \\neq 0$10
"} {"image_path": "images/cf355e90a60ff14e7d1dd74e568b2355.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
二轮摩托车大型拖拉机小型方向盘式拖拉机手扶拖拉机专用机械轻便摩托车
学习时间考试科目学习时间考试科目学习时间考试科目学习时间考试科目学习时间考试科目学习时间考试科目
2个月60小时交、机桩、路4个月80小时交、机桩、路3个月60小时交、机桩、路3个月60小时交、机桩、路2个月交 路不 限交,桩
1个月桩、路1个月桩、路不 限
1个月桩、路1个月桩、路不 限
1个月桩、路1个月1个月桩、路1个月不 限
1个月 机桩、路2个月机 、路2个月机 、路1个月 机桩、路1个月不 限
2个月 机桩、路2个月 机桩、路1个月 机桩、路1个月
2个月 机桩、路2个月 机桩、路1个月 机桩、路1个月
"} {"image_path": "images/1a1d6753a353a24919251f8a5d647ad3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别每月工资工作时间宿备考
最高一般最低最高一般最低
海员903061298资方资方
造船55247.598自己自己
纺织3084161210自己自己
橡胶84161210自己自己
印刷10416128资方资方
汽车42187.510自己自己
电车3024910自己自己
自来水2418610自己自己
机器3612099自己资方
店员83资方资方
佣人42资方资方
码头128自己资方
建筑96资方资方
"} {"image_path": "images/8411f724796e448ced9e7f45ea4d062f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
期别组 合 有效穗(万/$ 667\\mathrm{m}^2 $)穗粒数(粒)结实率$(\\%)$千粒重(g) 理论产量$\\left(\\mathrm{kg} / 667 \\mathrm{~m}^{2}\\right)$ 实际产量$\\left(k{g} / 667 m^{2}\\right)$产量名次
I两优培九13.29154.584.126.7461.3423.74
两优 216315.02122.188.629.7484.0444.12
两优 218613.58133.892.229.6496.0426.83
金两优 3615.91136.891.629.3584.1502.81
汕优 63(CK)15.24117.790.128.3457.2416.75
II两优培九11.39152.079.026.5362.5332.85
两优 216314.67119.687.729.5454.0420.03
两优 218614.67133.489.829.5518.5420.52
金两优 3613.86125.489.229.2452.9424.81
汕优 63(CK)14.48124.687.528.0441.9379.54
III两优培九11.10141.375.925.3301.0252.45
两优 216312.96119.387.729.4398.6372.33
两优 218613.41129.489.529.4456.5391.82
金两优 3613.66125.888.929.1444.4408.71
汕优 63(CK)13.13123.785.228.0387.5364.24
IV两优培九8.92126.654.124.1146.4122.95
两优 216314.2998.288.129.5364.6297.83
两优 218613.67105.189.028.2368.1325.02
金两优 3615.67107.380.928.0380.8336.41
汕优 63(CK)14.7298.181.127.8325.7282.84
V两优培九8.86受寒
两优 216314.1090.278.528.2281.5261.73
两优 218613.78105.479.528.1324.5306.32
金两优 3614.08106.779.227.9331.9311.51
汕优 63(CK)13.9197.877.427.0284.3258.64
VI两优培九8.38受寒
两优 216312.29受寒
两优 218612.76受寒
金两优 3613.55受寒
汕优 63(CK)10.09受寒
"} {"image_path": "images/8bf898696c82dee05755845696af9881.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
气 体$\\gamma-1$ 的值实 测 值
按照麦克斯韦-玻耳兹曼能. 量均分定理的计算值
空 气2/7=0.28570.406
$\\mathbf{H}_{\\mathbf{ 2 }}$0.40 .
$\\mathbf{O}_{\\mathbf{2}}$0.41
$\\mathbf{CL}_{\\mathbf{2}}$_0.32
CO0.39
NO0.39
$\\mathbf{CO}_{\\mathbf{2}}$1/8=0.16670.30
$N_{2}O$0.331
$\\mathbf{NH}_{\\mathbf{3}}$1/9=0.1111`0.`311
"} {"image_path": "images/92f55999aa3e8c940f2da11c82a53f83.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1 9 7 7 年1 9 7 8 年
$$ \\begin{array}{l}\\text { 播种面积 } \\\\ ~~~( \\text { 亩) } \\\\ ~~~~~f_{0} \\end{array} $$$ \\begin{array}{l}\\text { 收 获 率 } \\\\ ( \\text { 斤/亩) } \\\\~~~~ x_{0} \\end{array} $$ \\begin{array}{l}\\text { 收 获 量 } \\\\ ~~~( \\text { 斤 ) } \\\\ ~~~x_{0} f_{0}\\end{array} $$ \\begin{array}{l}\\text { 播种面积 } \\\\ ( \\text { 亩) } \\\\~~f_{1} \\end{array} $$ \\begin{array}{l}\\text { 收获率 } \\\\ ( \\text { 斤/亩) } \\\\~~~ x_{1} \\end{array} $$ \\begin{array}{l}\\text { 收获量 } \\\\ ~~( \\text { 斤) } \\\\ ~~x_{1} f_{1}\\end{array} $
冬小麦277.535097,125.0259.5386100,167
春小麦700 5218152,709.0633.0220139,260
大 麦300.024072,000.0496.5270134,055
小 麦20.04028,040.030.043012,900
玉 米52.537319,582.550.038019,000
合 计1,350.5259349,456.51,469276405,382
"} {"image_path": "images/6a1dccb08fd334c192a66d0275fb346c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
品名各地产至济南牌牌差 %调拨扣率批零差率
上海北京天津青岛烟台潍坊站、站%三级 %
轴壳3.53.53.52228512
放气阀3.53.53.52228512
暖气片3.53.53.52228512
减压阀3.53.53.52228512
铜热水咀3.53.53.52228512
铁冷水咀3.53.53.52228512
弹簧安全阀3.53.53.52228512
铁止回阀3.53.53.52228512
小便池返水弯3.53.53.52228512
胶皮木塞把3.53.53.52228512
高水箱洁具3.53.53.52228512
镀锌拔花网3.53.53.52228514
镀锌拧花网3.53.53.52228514
镀锌铁丝3.53.53.52228514
圆钉3.53.53.52228514
木罗钉3.53.53.52228514
窗纱3.53.53.52228514
"} {"image_path": "images/b2a3bdd5be6cb469c46fd2da8624a950.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
治 療 時 間病 例 数臨 床 痊 愈 病 例
病 例 數百 分 率
<1 年9211.1
1—2 年6058.3
2—3 年76911.8
3—4 年441329.3
4—5 年37821.6
5—6 年8225.0
穗 數3173811.9
"} {"image_path": "images/8c7b3fe5483a31f22359b76f911c5212.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
温度(°C)保温 (min)$厚度(\\mu m)^①$ $HV_5$$(kgf/mm)^①$$\\begin{gathered}\\mathrm{HM}_{50}\\left(\\mathrm{kgf} / \\mathrm{mm}^2\\right) \\\\45 \\text { 钢④ }\\end{gathered}$
10500$^{②}$0.01/0.01187/243
10.07/0.05298/398574
20.11/0.09307/598642
30.14/0.12340/703742
120000.018/0.015212/287
1·0.10/0.08345/398642
20.14/0.12420/598724
30.17/0.15$^{④}$487/703$824^⑧$
"} {"image_path": "images/4734895f813aecc3274fbd3bec2c90f1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
12345678910
11121314151617181920
21222324252627282930
31 323334353637383940
41424344454647484950
51525354555657585960
61626364656667686970
71727374757677787980
81828384858687888990
919293949596979899100
"} {"image_path": "images/bfc3ad0f550a0dac82f81d7fca5713d9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$\\alpha$nEXYZ
A1111
$B_{3}$11-1-1
$B_{2}$1-11.-1
$B_{1}$1-1-11
"} {"image_path": "images/3c51ef78436f3d6908182f93404669e4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Annual production figures.Percent-age ful-filmentof plan.
1927-28.Plannedincrease. Actualincrease.
Coal (mill. tons)35402972
Pig iron (mill. tons) 3·37·72·938
Steel (mill. tons)4·26·11·626
Rolled steel (mill.tons)3·44·60·818
Oil (mill. tons)11·614·410·472
Electricity (billionKwh.)5208·442
Motor cars (in thou-sands 02502410
Tractors (in thou-sands) 02705719
Copper (thousandtons)281301814
Housing (million sq.metres)185422252
Operating railwaylines (thousandkilometres)77176·538
Superphosphate ferti-liser (mill. tons)0·263·10·258
"} {"image_path": "images/5b07e9e7be386784f0174afc6f7f4a67.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$X^1A_1\\rightarrow {}^1B_2$
08.7229.2019.442
14.910×$10^{-1}$5.711×$10^{-1}$5.278×$10^{-1}$
23.144×$10^{-2}$3.371×$10^{-2}$3.429×$10^{-2}$
32.287×$10^{-3}$2.535×$10^{-3}$2.569×$10^{-3}$
41.859×$10^{-4}$2.149×$10^{-4}$2.165×$10^{-4}$
$X^1A_1\\rightarrow {}^1B_1$
03.4513.4683.554
11.798×$10^{-1}$1.802×$10^{-1}$1.811×$10^{-1}$
21.011×$10^{-2}$1.012×$10^{-2}$1.009×$10^{-2}$
36.095×$10^{-4}$6.105×$10^{-4}$6.089×$10^{-4}$
43.924×$10^{-5}$3.930×$10^{-5}$3.942×$10^{-5}$
"} {"image_path": "images/d2e3f3f2d0df8473847025324405db84.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
编 码$ \\begin{array}{cccc}\\text { EBCDIC } \\\\ \\text { 字 符 }\\end{array} $
十 进 制十六进制
1348 6f
1358 7g
1368 8h
1378 9i
1388 A
1398 B
1408 C
1418 D
1428 E
1438 F
1449 0
1459 1j
1469 2k
1479 31
1489 4m •
1499 5n
1509 60
1519 7P
1529 8q
1539 9r
1549 A
1559 B
1569 C
1579 D
1589 E
1599 F
160A 0
161A 1
162A 2s
163A 3t
"} {"image_path": "images/5a063f340b12118ad1ad47039ee4855a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
县 名村 名民户商户合计行政级别
张兰镇80436840单独村
长子县石哲镇56331594单独村
鲍店镇449170619单独村
长治县苏店镇49528523单独村
荫城镇342201543单独村
西火镇48759546单独村
潞城县微子镇53361594单独村
李家南山5280528主 村
平顺县躭车村5844588单独村
晋城县巴公村62922651主 村
东大阳75077827单独村
高平县河西镇45943502主 村
米山锁59569664主 村
北陈村123701237主 村
陵川县平城镇68576761单独村
"} {"image_path": "images/ccbde9b96673fde18a26e9b6481d183a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
一囊
二狼
三家
四危
"} {"image_path": "images/e4b5e62f01ebde5629ed03de63270e9f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
刊物名稱每本售價每本本地郵費(2) & (3)每本合計(a)期數(b) 總計(a) x(b)
$\\square$香港商品貿易統 - 進口 二零零三年期刊二零零三年一月至十二月 (共十二期)208.028.0236.0122,832.0
$\\square$香港商品貿易統計 - 進口 二零零三年期刊二零零三年 ____ 月至十二月 (共 ____ 期)208.028.0236.0
$\\square$香港商品貿易統計 - 進口 二零零三年期刊二零零三年一月至十二月 + 二零零三年周年附刊208.028.0236.0133,068.0
$\\square$香港商品貿易統計 - 港產品出口及轉口 二零零三年期刊二零零三年一月至十二月 (共十二期)208.028.0236.0122,832.0
$\\square$香港商品貿易統計 - 港產品出口及轉口 二零零三年期刊二零零三年 ____ 月至十二月 (共 ____ 期)208.028.0236.0
$\\square$香港商品貿易統計 - 港產品出口及轉口 二零零三年期刊二零零三年一月至十二月 + 二零零三年周年附刊208.028.0236.0133,068.0
合計
"} {"image_path": "images/db0234f6f9e6c80cd143f66f1beb9757.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
脚号引脚符号引 脚 功 能备 注
1OUT1输 出 端 该 集 成 电 路 为 四 运 放 , 采 用 14 脚 DIP封 装 , 应 用 在东 芝 43SH9UC 背 投 彩 电上
2IN ( - )1输 入 端
3IN ( + )1输 入 端
4VCC电 源
5IN ( + )2输 入 端
6IN ( - )2输 入 端
7OUT2输 出 端
8OUT3输 出 端
9IN ( - )3输 入 端
10IN ( + )3输 入 端
11VEE
12IN ( + )4输 入 端
13IN ( - )4输 入 端
14OUT4输 出 端
"} {"image_path": "images/befe5786f70ef91af4cc4482ad0b2c4a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Fließmittel:ABCDE
Schicht:nb nb n b nb n b
Thioharnstoff0,750,680,460,300,600,500,730,0
Cyanamid0,800,770,610,500,650,580,760,730,0
Dicyandiamid0,680,540,250,170,490,430,750,70
Harnstoff0,160,240,060,060,370,290,60
Dicyan-diamidin0,060,050,00,00,220,160,160,43
Guanidin0,00,00,00,00,00,00,02
Formamidin-disulfid0,610,700,350,360,600,280,76
Imino-amino-methan-sulfin-säure0,00,00,00,00,00,0
Schwefel0,800,79
Formamid0.440.390.630,69
Cu-Formiat0,800,00,350,00,750,0
"} {"image_path": "images/d0f9cae81079bf9f427082b00eba360c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
绿色链球菌+鼠伤寒杆菌#
肺炎球菌#福氏痢疾杆菌#
卡他球菌#宋内氏痢疾杆菌#
大肠杆菌#志贺氏痢疾杆菌+
绿脓杆菌#斯密兹氏痢疾杆菌#
普通变形杆菌#炭疽杆菌#
肺炎杆菌+白喉杆菌#
伤寒杆菌#人型结核杆菌+
甲型副伤寒杆菌+
红色毛菌#石膏样小孢子菌+〔50〕
石膏样毛菌#犬小孢子菌#
白色念珠菌新型隐球菌+
钩端螺旋体(黄疸出血型)#阴道滴虫+〔44、45、73、153〕
钩端螺旋体(七日热型)#鼠疟原虫#
"} {"image_path": "images/986c2dabd2e58268b79245e98dd29913.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品设计 零件少重量轻
工 具易于伸向、轻便,易于持握,平衡的,不平衡的,自动返回,脚控的
夹 具靠近工件,用槽或跌落。装置使下面定位容易,附加杠杆、轮子和扳手
工作地布置和设备 将工件按自然顺序排列,使工件和工具靠近使用点
动作模式 采用平稳连续动作,环形通路避免倒退,与眼的使用协调,两手对称地工作,使用最少的身体部分数量,假定不与下面的定位相干扰,一次可用两个或较多的工件
基本动作SH和ST(寻找和挑选)的检查:
产品设计 标准化零件,不使颜色代号混乱
工 具不与其他工具乱扰,数目最少,特别护目镜,合并,明显色彩油漆,预先定位,固定位置
夹 具放在固定地点,附加杠杆或扳手,对控制器漆以显目色彩
工作地布置和设备 带边箱,工具和材料放在固定位置,对料箱贴标签或者色,使料仓与零件对比,工作地照明,对工作地油漆以便易见
动作模式用眼工作,使用等速动作模式,有系统地使用料箱或料盘
基本动作H,UD和AD(持握延迟和故延)的检查:
见基本规则,这些基本动作是不需要的。如果使用机器,用机器工作循环平衡工作
基本动作R(休息)的检查:
如果其他基本动作得到改进,它将减至最低限。对于休息最好提供休息时间而不作为循环中的正式要素。如果它的发生作为机器操作的部分,它应该发生在机器运转时间之内
基本动作PN(计划)检查:
这个基本动作是不需要的。如果使用机器,用机器工作循环平衡工作
基本动作 I (检验)的检查:
产品设计容易取得参考资料, 最少的要求和条件
工 具易读数,“过”与“不过”验规,光学的,粗糙的,综合量规
夹 具紧固项目应最少,均匀紧固,轻巧,内装量规,易于读数
工作地布置和设备光线好,不眩眼闪烁; 适当的颜色、方向和对比度
动作模式固定模式使用视力,在观察时安排的工件是静止的
"} {"image_path": "images/787ab0a40a70ef50f1d3d05e63cd6af1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
窟号时代位 置内容备注
榆林窟3窟西夏 (元代、清重修,甬道南壁下部元画蒙古装女供养人 5 身
甬道北壁下部元画蒙古装男供养人 5 身
榆林窟4窟元代西壁门南普贤变下元画蒙古装女供养人 3 身,男供养人 1 身
西壁门北文殊变下元画蒙古装男供养人 5 身
榆林窟6窟唐(五代、宋、西夏、元、清重修)上部明窗南侧普贤变下元画供养比丘 1 身,蒙古装男供养人 4 身头 毁 , 模糊,漫漶
西壁门南说法图下元画蒙古装男女供养图两铺,上铺男供养人 1 身,女供养人 1 身,侍从 2 身;下铺男供养人 1 身,女供养人1 身,侍从 5 身
西壁门北说法图下元画蒙古装男女供养图两铺, 上铺男供养人 1 身,女供养人 1 身,侍从 2 身;下铺男供养人 1 身,女供养人2 身,侍从 1 身
前室甬道南壁下部元画蒙古装男供养人 1 身,女供养人 1 身
前室甬道北壁下部元画蒙古装男供养人1 身,女供养人 1 身
"} {"image_path": "images/76a86fc8cade7083a57b8bf6ca5841ce.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
雇员受雇满远园天需要开始供款
雇摇员摇强积金实施前入职摇强积金实施后入职
摇参加强积金供款日期摇圆园园员年 员月 圆怨日摇入职日期加 远园天
摇首次供款日期摇圆园园年 员月 圆怨日 起 员园个 年历天内摇参加强积金供款日期的首个工资日
自雇人士摇月供摇自己决定每月于哪一天作为供款日
摇年供摇每年会计年度结束时作出一次性供款(可于计划实施后 员年的会计年度,才作出首次供款)
"} {"image_path": "images/4f5b76bc5ecb20093fe2908f822ee211.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目年份 3.大 豆4.水 稻5.马 铃 薯
面积单产总增产总增产值面积单产总增产面积单产总增产
一九八三
一九八四
一九八五11.28315729209
一九八六33.363393,068824
一九八七28.163302,613940
一九八八41.703473,51111,08956610.16993,789
一九八九76.192813,6166.418292,90310.86982,777
"} {"image_path": "images/3d4a06be00083e5e031980e13b727292.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
农 产 品 种 类方 法使用的化学药品
花生粉溶剂抽提丙酮-己烷-水
油料作物种子粉溶剂抽提丙酮-己烷-水 (54:44:2)
油料作物种子粉溶剂抽提丙酮-水(90:10) , (70:30)
花生粉溶剂抽提已烷-乙醇(79:21)己烷-甲醇(73:27)己烷-丙酮(41:59)己烷-乙醇-水(85:12:3)己烷-丙酮-水(44.4:54.5:1.1)
油料作物种子粉溶剂抽提异丙醇-水(80:20)
花生粉溶剂抽提$1 \\%$ 碳酸氢钠$1 \\%$ 氟化钙
各种农产品微生物学去除法
油料作物种子粉加热-潮湿
黄曲霉毒素溶液紫外线光降解
油料作物种子粉化学解毒氢氧化钠、甲胺、氨,
油料作物种子粉化学解毒氯气、$\\mathrm{SO}_{2}$、臭氧
花生粉化学解毒$\\mathrm{H}_2\\mathrm{O}_2$
"} {"image_path": "images/cf42645664e491193c33f8f2b715dd90.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
项目名称上海来福士广场
层数十层(地上七层,地下三层)
占地面积约1.5万 $m^{2}$建筑面积购物中心 4.6 万 $m^{2}$
停车位516 个
商业组成购物中心、写字楼
档次定位中档为主,辅以高档
投资总额29亿元人民币
主力商户 CKJ、H & M、ZARA
业态规划B2、B3: 地下停车场B1: 特色集市L1: 摩登精品L2: 流行服饰L3: 休闲服饰L4: 男性世界与运动L5: 运动生活天地L6: 美食广场L7: 健身与美容
所在商圈上海人民广场商圈
交通地铁1、2、8 号线换乘站人民广场站与项目负二层连通
消费群特征追求时尚的年轻消费者
开业时间2003 年 11 月 1 日
项目地址上海西藏中路 268 号
开发商上海华庆房地产开发有限公司
建筑设计巴马丹拿集团
"} {"image_path": "images/1c8bfe71c8c640a59611134e59d7af51.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CompoundM - COM - CSM - $CO_2$M - COSM - $CS_2$
$C_6H_5O-CO-OCH_3$11.8
$C_6H_5O-CO-SCH_3$13.82.4
$C_6H_5S-CO-OCH_3$7.40.1
$C_6H_5O-CS-OCH_3$0.19.03.9
$\\alpha-Naphthyl-O-CS--OCH_3$2.74.2
$\\beta-Naphthyl-O-CS-OCH_3$2.94.6
$C_6H_5S-CO-SCH_3$14.01.1
$C_6H_5O-CS-SCH_3$4.80.20.1
$C_6H_5S-CS-OCH_3$14.3
$C_6H_5S-CS-SCH_3$0.70.7
$C_6H_5O-CO-OC_6H_5$8.3
$C_6H_5O-CO-SC_6H_5$10.0<0.3
$C_6H_5O-CS-OC_6H_5$7.8<0.20.2
$C_6H_5O-CS-SC_6H_5$6.70.4
$C_6H_5S-CO-SC_6H_5$12.00.8
$C_6H_5S-CS-SC_6H_5$0.71.5
"} {"image_path": "images/1ce0f4a3fe98be1346f41ef38529d9f0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Rf 值 (IX)範 围$0.63 \\sim 0.68$平均0.67
(IV)\"$0.87 \\sim 0.89$\"0.86
(V)\"$0.74 \\sim 0.71$\"0.73
"} {"image_path": "images/9532affc405727375d5537e0768fd52e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
условный проход${D}_{y}$ ,ммPe3bóadL ,MMчислореóер$P_{y}~~, \\mathrm{Krc}/_2\\\\~~~~~~~~~~~{\\small{CM}}$
I0Tpyó 3/8\"30216
I5Tpyó I/ $2^{4}$362I6
20Tpyó 3/4\"392I6
25Typó I \"454I6
32Tpyó I I/4\"50 4 I6
40Typó I I/2\"554I6
50Tpyó 2\"656IO
65Tpyó $2 ~\\mathrm{I} / 2^{\\prime \\prime}$746IO
"} {"image_path": "images/257aec84a2978396213b5409d069b3c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分类矿名煤种瓦斯等级开拓方式可采储量(万 t)设计/核定生产能力(万 t/a)年产量(万 t)
大明一矿长焰煤斜井361790/110145.10
大明二矿长焰煤立井233590/6032.23
晓明矿长焰煤立井6149135/150193.60
大隆矿长焰煤立井15790180/200264.21
晓南矿长焰煤立井8760150/170248.88
小青矿长焰煤立井9106120/160230.00
大兴矿长焰煤立井53850300/350325.04
小康矿长焰煤立井11289150/160206.20
太平矿长焰煤立井18396251.00
"} {"image_path": "images/91c0cd245e83d50e50b7fa8b42c8cf7a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号名 称指 标备 注
1$处理水量(m^{3}/h)$269 处理成本(即折算单位处理价)包括折旧费、人工费、电费、原材料费、维修费、管理费
2$占地面积(m^{2})$9040
3工程基建投资 (万元)90
4$工程造价(元/m^{3}水)$128.57
5电容量(kW)装机容量329.90
工作容量238.90
6蒸汽用量 (kg/h)198.45
7药剂用量 (t/a)
BaS404
$FeCl_{3}$134
石灰133
"} {"image_path": "images/02906d0ba834e7dea61b841ffb81aaa2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ほとんど②(名·副)大部分,大体上
予習[よしゅう]⓪(名・他サ)预习
遅い[\\text{おそい⓪(形)晚,迟
早寝早起き[はやねはやおき]②—②(词组)早睡早起
習慣[しゃうかん]⓪(名)习惯
減る[へる]⓪(自五)减,减少
留学生[りゅうがくせい]③(名)留学生
川村[かわむら]⓪(人名)川村
わりに⓪(副)比较
間に合う[まにゅう]③(复合·他五)赶得上,来得及
なんとか①(副)总会
せわしない④(形)着忙,忙乱
どうも①(副)怎么也,总觉得
弱い[よわい]②(形)对···脆弱 , 不擅长
自然[しぜん]⑩(名·副·形动)自然,天然
醒める[さめる]②(自下一)
目ざまし[めざまし]②(名)闹钟
純[じゅん]①(接头)纯粹
日本風[にほんふう]⓪(形动)日本式
"} {"image_path": "images/e06360fecb8cade8fb9913512962a4b3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
牌 号化学成分 (%上以,其他元素%以下)
SiFcCuMnMgZnCrTi其他合计Al
1100Si+Fe1.010.05~0.200.05-0.1--0.1599.00
30030.60.70.05~0.021.0~1.5-0.1--0.15余量
3004①0.300.70.251.0~1.50.8~1.30.25--0.15余量
50520.250.40.100.12.2~2.80.100.15~0.35-0.15余量
5082②0.350.200.150.154.0~5.00.250.150.100.15余量
"} {"image_path": "images/8361e1f3dbfea4884a3a8083ac5b6033.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
实验十一实验十二实验十三实验十四 a实验十四 b
ABCDEBCDEBCDEBCDEBCDE
181000108511.40128620.05147713.12148813.59
2898010849.52127423.4814779.3614878.51
38964.29107819.02127220.35147210.13148625.81
48925.63107620.38126724.73147010.01146813.87
58828.87107419.32126618.25147014.43146523.46
688010.62107020.30126425.13146215.57146319.33
787314.58105518.20126225.40145820.70146024.43
887017.62124923.46145111.48145617.98
"} {"image_path": "images/f5b755b4889f28f8f1a64ea883aeb8d5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Materials List
KeyPart nameQty.ThicknessWidthLengthMaterial
Overall dimensions (48\"w × 30''d × 2½''h)
ALeg43\"3\"28¾\"Solid wood or glue-up
BSide rail4¾\"4\"21\"Solid wood
CSide stile2¾\"3\"17¾\"Solid wood
DBack rail2¾\"4\"39\"Solid wood
EFront apron1¾\"4\"39\"Solid wood
FDrawer stretcher2¾\"4\"25¼''Solid wood
GLong top edge2¾\"2½''48\"Solid wood
HShort top edge2¾\"2½''30\"Solid wood
1Top center panel1¾\"25\"43\"Plywood
JLong top spline2¼''¾\"42\"Solid wood or plywood
KShort top spline2¼''¾\"24\"Solid wood or plywood
Drawer dimensions (24\" w × 20¾\" d × 3\"h)
LDrawer front1¾\"3\"24\"Solid wood or cut-out of front apron
MDrawer side2½''2½''20\"Solid wood
NDrawer back1½''2½''22⅛''Solid wood
ODrawer bottom1¼''20\"225⅝\" Plywood
Hardware/supplies 10
Sidemount drawer slides1 pr.20\"
Drawer pull1
Desktop fasteners6
Joining biscuits#0 and #20
"} {"image_path": "images/cd548d8f4320181bcc254ce4af9aca6c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$θ°$$Cos^{3 }θ$$θ°$$Cos^{3 }θ$$θ°$$Cos^{3 }θ$
01.000300.649600.125
50.988350.549650.075
100.953400.449700.040
150.899450.353750.017
200.828500.265800.005
250.749550.188900.000
"} {"image_path": "images/58d78c95424f412a4132ae622afce248.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
123456789
A317945
B85936
C26593
D3267
E98273
F7134
G137
H9371
I753219
"} {"image_path": "images/934bcfbba343a0dde4e6d246a920015b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
混凝土标 号水灰比石子最大粒 径(厘 米)砂 率(%)每 立 方 米 混 凝 土 材 料 用 量 (公 斤/立 方 米)
水 泥小 石中 石大 石
300/////////
2500.37228.51885084701195
421.8169458380621758
818.5142384347526309721
2000.44232.21834175601195
425.8164373473618755
822.1137312432523307707
1500.55234.71833346291195
428.8164298545612747
825.0137251502512300694
1000.70237.11832627031195
431.6164235615602737
827.9137196573506298680
"} {"image_path": "images/872cb4c0bd9d32e33df3fe358a26beaf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MetalMeltingpoint (°C)K$(10^{8}\\ A^2\\ cm^{-4}\\ s)$$\\phi$(eV)
Tin2320·3384·44
Lead3270·1833·94
Zinc4191·474·31
Aluminium6583·614·08
Silver9616·784·73
Gold10645·064·82
Copper108310·374·46
Nickel14352·575·02
Iron15351·604·76
Platinum.17691·975·34
Molybdenum26103·754·20
Tantalum29962·244·19
Tungsten34103·744·52
"} {"image_path": "images/2532ecf361e5ac07088911b2fb041107.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国际前列腺症状评分 ( I-PSS)
少于 1/5少于 1 / 2约 1/2多于半数几乎总是
2. 过 去 一 个月 排 尿 后 2小 时 以 内 又要 排 尿012345
3. 过 去 一 个月 排 尿 时 停止 和 开 始 多次012345
4. 过 去 一 个月 排 尿 不 能等 待012345
5. 过 去 一 个月 感 觉 尿 线变 细012345
6.过去一个月感觉排尿费力012i 345
1 次2 次3 次4 次≥5次
7. 过 去 一 个月 夜 间 睡 觉时 起 床 排 尿次 数012345
I -P S S 总 分 S=
"} {"image_path": "images/d17a7bee0cf059b5fdc31d9783a82e6e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
第十厂第二十厂第五十厂附 注
二月17. 0138. 2245. 64
三月46. 2895. 45126. 32三四两 月 薪饷占百分比甚大,仍不能维持生活,厂方亦无余款购料
四月19. 5197. 92241. 39
五月30. 6026. 6429. 64
六月13. 189. 6927. 53银元经费收入较多,购料后所余无几,员工待遇菲薄
"} {"image_path": "images/5f5dbb215e50ec6d4bd436fe892c399d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
政府绩效一级指标二级指标三级指标
影响指标经济人均员阅孕、劳动生产率、外来投资占 员阅孕比重
社会人均预期寿命、恩格尔系数、平均受教育程度
人口与环境环境与生态、非农业人口比重、人口自然增长率
职能指标经济调节员阅孕增长率、城镇登记失业率、财政收支状况
市场监管法规的完善程度、执法状况、企业满意度
社会管理贫困人口占总人口比例、刑事案件发案率、生产和交通事故死亡率
公共服务基础设施建设、信息公开程度、公民满意度
国有资产管理国有企业资产保值增值率、其他国有资产占员阅孕的比重、国有企业实现利润增长率
潜力指标人力资源状况行政人员中本科以上学历者所占比例、领导班子团队建设、人力资源开发战略规划
廉洁状况腐败案件涉案人数占行政人员比率、机关工作作风公民评议状况
行政效率行政经费占财政支出的比重、行政人员占总人口的比重信息、管理水平
"} {"image_path": "images/fef502fa3747111277819a147c249713.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
岗位销售业绩提成比例
销售经理12万元(含)以上____%
9万~12万元(不含)____ %
6万~9万元(不含)____%
"} {"image_path": "images/eabf6efab81a6351fdb08350da308313.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
總計三十年
二五
三六
三一
一四
二六
三五
一八六三六
"} {"image_path": "images/f43a56b2c6a20f6a9670071d03cbdd43.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Cluster12
Libellé
Description
Taille$64.3 \\%$(36)$35,7 \\%$(20)
Entrées
Propreté3,30Propreté11,95
Qualité4,84Qualité12,05
"} {"image_path": "images/81ed54551b9a498986e63a87fc60bdc5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
IIIIIIVIV
Adenosine triphosphate111.41543.2
Adenosine diphosphate70.35.17.8
Adenosine 5'-Phosphate0.40.20.51.92.7
Adenosine 3'-Phosphate0.80.30.60.61.5
Cytidylic acid2.7 0.70.72.5
Guanylic acid 0.4 0.20.44.8
Diphosphopyridinenucleotide0.00.10.00.0
Triphosphopyridinenucleotide0.20.20.20.6
Cocarboxylase0.7
Glucose-1-Phosphate0.10.00.00.00.1
Glucose-6-PhosPha.e0.10.090.40.8
Sorbose-1-phosphate0.040.50.10.8
Sorbose-6-phosphate0.90.11.82.4
Fructose-8-Phosphate0.20.030.150.7
Phospho-glyceric acid1.30.40.30.9
$\\beta-\\mathrm{G}$!ycerol-Phosphoric acid1.10.20.91.9
"} {"image_path": "images/5d43b5ea7ce20d646c08bcd05246a2dd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$^\\circ F$(个位)℃$^\\circ F$(十位)0123456789
5010.0010.5611.1111.6712.2212.7813.33 13.8914.4415.00
6015.5616.1116.6717.2217.7818.3318.8919.4420.0020.56
7021.1121.6722.2222.7823.3323.8924.4425.0025.5625.11
8026.6727.2227.7828.33 28.8929.4430.0030.5631.1131.67
9032.2232.7833.3333.89 34.4435.0035.5036.1136.6737.22
10037.7838.3838.8939.4440.0040.5641.1141.6742.2242.78
11043.3343.9944.4445.0045.5646.1146.6747.2247.7848.33
12048.8949.4450.0050.5651.1151.6952.2252.7853.3353.89
13054.4455.0055.5656.1156.6757.2257.7858.33 58.8959.44
14060.0060.5661.1161.6762.2262.7863.3363.8964.4465.00
15065.5666.1166.6767.2267.7868.3368.8969.4470.0070.56
16071.1171.6772.2272.7873.3373.8974.4475.0075.5676.11
17076.6777.2277.7878.3378.8979.4480.0080.5681.1181.67
18082.2282.7883.3383.8984.4485.0085.5686.1186.6787.02
19087.7888.3388.8989.4490.0090.5691.1191.6792.2292.78
0.10.20.30.40.50.60.70.80.91.0
$^\\circ F$0.060.110.170.220.280.330.390.440.500.56
"} {"image_path": "images/4564de99a6be74aefc96e161201404c9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
9 h12 h15 h18 h
January(1) 0.8850.8870.8980.865
(2)320331343323
(3)-41-64-38-52
April(1)0.8820.879-0.8750.849
(2)345353361335
(3)-46-54-50-64
July(1)0.8150.7960.7820.770
(2)350357358338
(3)-82-91-98-103
October(1)0.8740.8620.8460.821
(2)353360362337
(3)-51-56-64-71
"} {"image_path": "images/01d33c625c6e0f7d0c23fc178cc12f74.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
찍이다2939
찍다1224
꼬타서니2940
꼬이다1629
꼬이여1629
꼬이였다1629
뜯다1224
풋풋이2940
풋다1224
11, 1221, 24
풋담다2536
꽃칠1831
꽃아래11, 1821, 32
꽃을28
꽃이28
꽃’앞1933
꽃에28
꾸준히25, 3137, 42
꾸짖다1224
1223
꿈지려꿈지려5055
끄트머리2940
꿈쩍이2940
"} {"image_path": "images/b7419e7db550698d6ee5588f042ff9d2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
寄存器标识符寄存器名称寄存器字地址寄存器内位地址
SP堆栈指针0x81H
DPTR数据指针 DPL、DPH0x83H,0x82H
P0P0 口0x80H0x80H ~ 0x87H
P1P1 口0x81H0x90H ~ 0x91H
P2P2 口0xA0H0xA0H ~ 0xA7H
P3P3 口0xB0H0xB0H ~ 0xB7H
IP中断优先级控制器0xB8H0xB8H ~ 0xBFH
IE中断允许控制器0xA8H0xA8 ~ 0xAF
TOMD定时计数器方式控制器0x89H
TCON定时计数器控制器0x88H
TH0定时计数器 0 高位0x8CH
TL0定时计数器 0 低位0x8AH
TH1定时计数器 1 高位0x8DH
TL1定时计数器 1 低位0x8BH
SCON串口控制器0x98H
SBUF串行数据缓冲器0x99H
PCON电源控制0x97H
"} {"image_path": "images/463d96f7d24f9d6a271e531d1c7d7bb9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
TreatmentNo. of EggsIncubatedPereent Hateh-ed of All EggsIneubatedPercent of Fer-tile EggsHatched Percent ofEggs Infertile
No Green Feed,Shut in ..............15431.8252.1338.96
No Green Feed,at Liberty ......28970.2480.5612.80
Average, Both Lots56.8972.8321.90
Corn Silage,Shut in .......25942.0868.1338.22
Corn Silage,at Liberty ........34371.4391.4221.87
Average, Both Lots58.8082.7128.90
Beet Pulp,Shut in .......21047.1467.3530.00
Beet Pulp,at Liberty .......32265.8484.1321.74
Average, Both Lots58.4677.9425.00
Fowls Shut in.......62341.2564.0935.63
Fowls at Liberty ..95469.1885.4919.08
Pen 7. Meat Scrap28970.2480.5612.80
Pen 8, Buttermilk31280.7794.0314.10
Pen 9. Buttermilk32072.5088.8918.44
Average Pens 8, 976.5891.4916.30
"} {"image_path": "images/f6882ee6ff50f08ac9c89deca4b39c88.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Table 5.1 Scoring System for Grading Inflammation and StagingFibrosis
Portal/PeriportalInflammationLobular Inflammation
Grade 0NoneNone
Grade 1Portal inflammation onlyMinimal inflammatory cells but nohepatocellular death
Grade 2Mild interface hepatitisMild inflammation with focal cell death
Grade 3Moderate interface hepatitisModerate with hepatocellulardegeneration
Grade 4Severe interface hepatitisSevere with prominent diffusehepatocellular damage
Scoring System for Staging
Stage 0No fibrosis
Stage 1Fibrous portal expansion, confined to enlarged portal tracts
Stage 2Periportal expansion, rare portal-portal fibrous septa
Stage 3Bridging fibrosis with architectural distortion but no obvious cirrhosis
Stage 4Definite cirrhosis
"} {"image_path": "images/a95c8cae0e8a65b49007b8dcc3e7cc2c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
指 标$ \\begin{matrix} 2 0-2 9 \\\\ ( n=2 2 ) \\end{matrix} $$ \\begin{matrix} 3 0 - 3 9 \\\\ ( n = 3 2 ) \\end{matrix} $$ \\begin{matrix} 4 0 - 4 9 \\\\ ( n = 2 0 ) \\end{matrix} $$ \\begin{gathered} 50-\\\\ (n=13)\\end{gathered} $$E/F^1$
心算$21.955 \\pm 4.913$$25.125 \\pm 71918$$19.621 \\pm 8.117$$20.305 \\pm 8.713$3.0028*
视觉保留$3.182 \\pm 1.532$$3.094 \\pm 1.820$$3.759 \\pm 1.662$$4.154 \\pm 1.725$1.7173
成对词联想$20.682 \\pm 6.160$$17.813 \\pm 5.894$$14.380 \\pm 6.571$$12.231 \\pm 6.572$6.8492**
符号译码$35.773 \\pm 6.704$$33.875 \\pm 10.463$$26.241 \\pm 7.405$$27.384 \\pm 9.870$6.9277**
注意力调转( $s$ )$0.746 \\pm 0.182$$0.775 \\pm 0.249$$0.8101 \\pm 0.306$$1.233 \\pm 1.094$3.6686**
视筒单反应时(s)$0.296 \\pm 0.243$$0.289 \\pm 0.316$$0.344 \\pm 0.239$$0.196 \\pm 0.25$0.7113
视复杂反应时(s)$0.831 \\pm 0.063$$0.862 \\pm 0.061$$0.868 \\pm 0.070$$0.868 \\pm 0.093$1.4202
指叩$151.455 \\pm 50.023$$166.281 \\pm 46.574$$137.103 \\pm 29.271$$61.077 \\pm 110.638$1.4642
图案比较(s)$3.717 \\pm 1.008$$3.939 \\pm 0.908$$4.076 \\pm 1.116$$4.348 \\pm 1.087$1.1476
"} {"image_path": "images/9d6c7b0802c7aa2bf75452be52f3ab0e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
层 数焊接电流(A)焊接电压(V)
111019
2~1412521
"} {"image_path": "images/2067fb388e6aed7949aa6b1655d5d8ac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
批 号项 目123
苯 比(摩尔)888
温 度(℃)506070
时 间(分)2 ' 45\"2 ' 42\"2 ' 45\"
空速(v/v·小时)21.822.221.8
残氯量(%)0.0550.0510.060
石 油(%)58.8458.3960.78
二烷基苯(%)0.090.150.04
单烷基苯(%)28.9225.4425.23
莭满、萘满(%)1.460.981.15
单烷基苯收率(%)95.897.483.0
"} {"image_path": "images/e536863168d992ca4a74ebff59ee90fe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
油品代表 针入度1 / 10mm滴点℃ 蒸发量150℃1h% 分油量60℃24h% 腐蚀度100℃3h摩擦系数
8503$310\\sim 340$20044合格0.09
7405$310 \\sim 365$18044\"0.11
美国样品$370 \\sim 400$无※412\"0.08
API要求$310 \\sim 340$87.825
注: 7405为一坪化工厂产品;※美国产品太稀无法作滴点
"} {"image_path": "images/d0d7ad17e5e7a43aad669eb5c44409a5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
期 别妊 娠 前 期妊 娠 后 期
体重 (公斤)<90$90 \\sim 120$$120 \\sim 150$>150<90$90 \\sim 120$$120 \\sim 150$>150
采食风干料量(公斤)1.501.601.902.002.002.202.402.50
消化能 (兆卡)4.104.605.205.505.606.106.707.00
代谢能 (兆卡)3.944.424.995.205.385.866.436.72
粗 蛋 白 质(克)165176209220240264283300
赖氨酸 (克)5.205.806.606.907.107.708.408.80
蛋+胱氨酸(克)2.803.103.503.703.804.104.504.70
苏氨酸 (克)4.104.605.205.505.606.106.707.00
异 亮 氨 酸(克)4.505.105.706.106.206.707.407.70
钙 (克)9.0010.2011.5012.2012.3013.4014.7015.40
磷 (克)7.308.109.209.709.9010.8011.9012.40
食盐 (克)4.805.306.006.406.707.308.008.40
"} {"image_path": "images/4b4c239f1c59f641a4ce55215703f158.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
i $\\mu$At s$it^{1/2}\\times10^4$$\\mathbf{A}:\\mathbf{s}^{1/\\mathbf{2}}$$it^{3/2}\\times10^4$$\\mathbf{A}\\cdot\\mathbf{S}^{3/2}$
45.4302.490.746
36.6452.461.105
31.6602.451.469
28.2752.441.832
26.0902.472.220
22.11202.422.905
19.61502.403.602
16.32102.364.961
15.22402.365.650
14.22702.336.301
13.53002.347.017
12.23602.328.333
"} {"image_path": "images/b16755ed1034df8a4d85a78260721748.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
样品编号取样地点 氨氮(mg/L)硫酸盐(mg/L)硝酸盐(mg/L)亚硝酸盐(mg/L)$ COD(O_{2}) $综合污染指数PI污染级别
背景值0.02I背景值50I背景值5I背景值0.01I背景值2.0I
Y98横县南乡镇农村信用社<0.04029.260.585213.482.6960.0070.71.010.5052.74轻度
Y138灵山县石塘镇石塘村<0.0405.070.101413.662.7320.0080.80.090.0452.74轻度
Y95横县那阳镇广西海棠建材、有限责任公司那阳分公司<0.04071.031.420615.993.198$ < 0 . 004 $00.780.393.23轻度
Y141灵山县太平镇太平街自来水厂<0.04020.140.134310.272.0540.0070.70.480.242.07轻度
Y151浦北县官垌镇官垌加油站水井0.04217.680.35367.021.404$ < 0 . 0 0 4 $01.20.62.04轻度
Y149浦北县寨圩镇工业区公路西侧农冬红家0.0428.090.161811.552.310.0070.70.990.4952.34轻度
Y170浦北县寨圩镇温汤江0.21070.14<0.80$ <0.004 $01.540.7710严重
Y97横县南乡镇南乡国土所0.562832.160.6432<0.80$<0.004$01.010.50528严重
Y137灵山县平南镇国土所11.557512.730.25464.750.951.11101.130.565576严重
Y94横县百合镇横岭村民井0.126142.62.85239.567.9120.0484.80.840.428.06中度
Y93横县百合镇江口村源达矿厂机井<0.04090.11.802<0.80$<0.004$03.791.8958.04中度
GX0379南宁市青秀区南阳镇河洞村51.6710.33中度
GX0495灵山县平南镇中学45.229.04中度
"} {"image_path": "images/1008934b3feb6a7a48a3d98ba6d4c813.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
對 照 群脾臟物質(粉末)投與群
動物番號檢查日31323334353637383940
1930. 27/IV001.6000001.61.2
1/V001.60.80.800.400.40
600.40000000.40.4
1300000.80.4000.40.4
180000000000
25000000.80.4
2/VI0.40.4
"} {"image_path": "images/84544ef2a1ab69b09ed59914c4968aa4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
目 录 的 类 型时 间 范 围$\\Delta \\tau$(天)区 域 的 类 型
地震构造区(图1)相 邻 区
R=2°R=5°
完整的10--10.930.830.86
1-0.10.880.860.85
0.1-0.010.520.550.52
缺余震的10-11.040.930.97
1-0.10.40.440.42
0.1-0.010.290.320.3
"} {"image_path": "images/e9b8b8f4960d3a5883aacbc20cdaa079.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
x\\t0·51·01·52·0
0·000·76730·84130·90320·9251
0·010·73240·82120·89070·9177
0·020·69500·80230·87900.9082
0·030·65170·77940·86430·8979
0·040·61030·75490·84850·8888
0·050·56750·73240·83400·8790
0.060·52300·70540·81590·8665
"} {"image_path": "images/c36a88d4d3a4769fb0347aa6fafe31d8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
单 位职 务姓 名
档 案 处正 处 研 究 馆 员孙儒贤
进 出 口 公 司高 级 工 程 师肖俊明
设 备 备 件 公 司高 级 工 程 师孙秀海
监 理 公 司高 级 工 程 师王福满
技 术 改 造 部正处 高级工程师何玉奇
技 术 改 造 部高 级 经 济 师何庆良
技 术 改 造 部副处 高级工程师岳兴武
技 术 改 造 部副处 高级工程师李玉忠
劳 动 服 务 公 司高 级 会 计 师高耀勤
实 业 开 发 公 司高 级 工 程 师杨旭辉
海 口 办 事 处正处 高级工程师徐辅仁
生 产 部高 级 工 程 师李景武
"} {"image_path": "images/acfd324129bc8063cd327f12959761de.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
焊接方法焊条直径/mm 焊接层数预热温度$/^\\circ C$ 焊接电流/A电弧电压/V 焊接速度$/cm\\cdotp min^{-1}$
手工电弧焊3. 2 1 200 80 24 10~11
2 185 82 11~12
3 190 85 9~10
4 192 85 7~8
"} {"image_path": "images/c77e3a9c7e3a4e29ea137a1e4832c410.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Virialcoefficients of helium in Am. units (qua-dratic series)
Temp.AB . $10^3$C . $10^6$
0,999470,52920,1815
251,090950,56860,2095
501,182430,60770,2302
751,273910,65010,2248
1001,365380,69220,2176
1251,456860,73370,2087
1501,548340,77010.2146
"} {"image_path": "images/d15a75595266f9af2803e678b597b12b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
上海元祖食品有限公司
公司地址上海市通州路35号(邮政编码200080)
电话号码021-65591442传真号码021-65417523
电子邮箱网 址
注册资金169.6 万 美元企业性质
业务类型食品成立时间1993 年
直营店数140 家加盟店数2 家
加盟费5 万元特许权使用费2.5%
保证金5 万元开店基本投资20~40 万元
合同期限5 年是否加入CCFA
"} {"image_path": "images/279ee4c7b74a24b45760429f2cf8750e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
性 别总 计
角色扮演15695251
71.2%83.3%73.1%
射 击19525220
89.4%21.9%64.1%
即时战略16516181
75.5%14.0%52.8%
桌面休闲益智49114163
22.4%100.0 %47.5%
冒 险572784
26.1%23.7%24.5%
策略与战棋58563
26.6%4.4%18.4%
养 成55661
0.5%49.1%17.8%
体 育53360
24.3%2.6%17.5%
赛 车311243
14.2%10.5%12.5%
模拟经营102939
4.6%25.4%11.4%
格 斗32537
14.7%4.4%10.8%
动 作134
0.4%2.6%1.2%
"} {"image_path": "images/1720e474f0a034809cec46766e8b6007.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分类中文英文三字符号单字符号
①非极性、疏水性氨基酸 (7个)甘氨酸GlycineGlyG
丙氨酸AlanineAlaA
缬氨酸ValineValV
亮氨酸LeucineLeuL
异亮氨酸IleucineIleI
脯氨酸ProlineProP
苯丙氨酸PhenylalaninePheF
②极性、中性氨基酸 (8个)丝氨酸SerineSerS
苏氨酸ThreonineThrT
酪氨酸TyrosineTyrY
色氨酸TryptophanTrpW
半胱氨酸CysteineCysC
甲硫氨酸MethionineMetM
天冬酰胺AsparagineAsnN
谷氨酰胺GlutamineGlnQ
③酸性氨基酸 (2个)谷氨酸GlutamateGluE
天冬氨酸AspartateAspD
④碱性氨基酸 (3个)赖氨酸LysineLysK
组氨酸HistidineHisH
精氨酸Arginine${\\text{Arg}}$R
"} {"image_path": "images/2a994d8568dcaedbca9031c4dbe2e6db.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
壁高 $h$10142025324560
壁厚$S$22.533.5456
"} {"image_path": "images/55aa1e3c25d7ea7ec13b43eca4ee2c87.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
收 入 项 目实际数计划数增长(%)支 出 项 目实际数计划数增长(%)
收入合计支出合计
预算内预算内
预算外预算外
信贷资金(净增额)信贷基金(净增额)
一、预算收入一、基本建设投资
企业收入预算内
各项税收预算外
其他收入信贷资金
二、预算外收入二、更新改造
国营企业掌握的预算外资金预算内
行政事业单位掌握的预算外资金预算外
地方财政部门掌握的预算外资金信贷资金
三、信贷资金(净 增额)三、经济建设事业
各项存款(净增额)预算内
信贷基金(净增额)预算外
信贷资金
预算内
预算外
信贷资金
五、支援农业支出
"} {"image_path": "images/8327c688271788d5269603f6e3a1df3e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序 号溶 质对丁二烯-1,3 的相对挥发度
$ x_{\\text{DMF}}\\cong 1时 $$ x_{DMF}=0.9 \\ 时 $$ x_{\\mathrm{DMF}}=0.7 \\text { 时 } $
1异丁烷5.364.252.90
2正丁烷3.93.12.12
3异丁烯2.352.081.70
4丁烯-12.352.081.70
5反丁烯-21.921.701.38
6顺丁烯-21.661.491.22
7丁二烯-1,31.001.001.00
8丙 炔0.7070.841.16
9丁炔-10.4100.4430.495
10乙烯基乙炔0.2300.2700.360
"} {"image_path": "images/62942e593df93da46572ac5a87b6dbbb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
实验次数平均值
测量数值
"} {"image_path": "images/6de9370d029dd0bf4110cd9642b3bad4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ResourceSimulation estimatesConfidence interval$\\alpha=0.05(95 \\%)$Mean $\\pm \\mathrm{t}_{\\mathrm{n}-1, \\alpha / 2} \\cdot \\mathrm{S}_{\\mathrm{X}} / \\sqrt{ }_{\\mathrm{n}}$Actual value
MeanStd. Dev.
Surgeon12.000.830.83 0.83(1.61,2.39)2.33
Surgeon21.10(0.71,1.49) 1.40
Surgeon32.231.30 1.30(1.62,2.83)2.72
Surgeon44.111.35(3.47,4.74)4.57
Surgeon51.290.79(0.92,1.66)1.61
Surgeon66.261.18(5.70,6.81)6.68
Surgeon712.372.05(11.41,13.33)13.12
Surgeon81.000.64(0.70,1.30)1.24
Anesthetist18.251.59(17.50,19.00)17.85
"} {"image_path": "images/236943155fdd1a7b458e01c4e0a425ff.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年度 (截止以下日期的一年)\"大盘股票\"“龙头股票” 中 PE最低的 50 只股票PE 最低的 50 只股票的相对收益率
1983 年 12 月 31 日23.80%38.80%15.00%
1984 年 12 月 31 日- 0.40%6.10%6.50%
1985 年 12 月 31 日19.50%37.20%17.70%
1986 年 12 月 31 日32.20%27.20%- 5.00%
1987 年 12 月 31 日3.30%7.10%3.80%
1988 年 12 月 31 日$19.00 \\%$26.90%7.90%
1989 年 12 月 31 日$26.00 \\%$24.30%- 1.70%
1990 年 12 月 31 日- 8.70%- 16.60%- 7.90%
1991 年 12 月 31 日$33.00 \\%$ $44.80\\%$ - 11.80%
1992 年 12 月 31 日8.70%5.20%- 3.50%
1993年 12 月 31 日$16.30 \\%$$25.80 \\%$9.50%
1994 年 12 月 31 日- 1.90%3.70%5.60%
1995 年 12 月 31 日$28.50 \\%$ $34.50\\%$ 6.00%
1996 年 12 月 31 日18.70%17.50%- 1.20%
算 术 平 均 数$ 13.11\\% $16.60%3.49%
标 准 差16.01%20.10%4.09%
"} {"image_path": "images/183c9b4e3660c8f6964d36ee3c5c6558.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
矿 物 名 称所研究的标本数量发 光 性
阴 极 射 线伦 琴 射 线柴 外 光 线
顏 色亮 度顏 色亮 度顏 色亮 度
金鋼石14綠 色天 兰 色兰 色鮮 明极 鮮 明鮮 明天 兰 色--中 等 至微 弱-天 兰 色紫 色黄 綠 色鲜 明中 等中 等
磷 灰 石14黃 色淡 綠淡 綠 色暗 紅 色紫丁香花色鮮 明 至中 等极 鮮 明至 鮮 明中 等微 弱 至极 微 弱黄 色天 兰 色绿 色-极 鮮 明至极微弱中 等中 等-玫 瑰紅 色紫 色砖 紅 色-鮮 明中 等至 微 弱微 弱-
莹 石13紫 色綠 色深 綠 色浅 紫 色鮮 明 至中 等鮮 明鮮 明鮮 明綠 色--中 等 至极 微 弱--紫 色深 紫 色-- 鮮 明 至微 弱微 弱--
白 鎢4天 兰 色极 鲜 明天 兰 色极 鲜 明天 兰 色(个别斑点)鮮 明
鋯 石4檸檬黄色鮮 明绿 色微 弱橙 黄 色鲜 明
"} {"image_path": "images/14b8c708d98f6626c493576be3fa702d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
4-y-o+W-R Percent£1 LevelStakeTotalsW-R Percent£1 LeveStake
January5-1435.7+8.25January5-1435.7+8.25
February3-1127.3+11.00February3-1520.0+7.00
March0-100.0-10.00March1-147.1-7.00
April1-137.7-4.00April1-185.6-9.00
May0-80.0-8.00May0-140.0-14.00
June1-812.5+1.00June3-1520.0+4.50
July2-1711.8-2.25July2-238.7-8.25
August2-1414.3-3.13August3-1618.8+0.87
September0-60.0-6.00September0-60.0-6.00
October0-30.0-3.00October0-30.0-3.00
November0-150.0-15.00November0-280.0-24.00
December0-60.0-6.00December0-100.0-9.00
"} {"image_path": "images/2f5345e570bb68ddea175b9aedbc70f2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产量 x (件)总 费 用 y (元)xy$x^2$
I224484
263420436
342811216
483427264
51246552144
61038380100
合计 n=6422041568364
"} {"image_path": "images/867e38622b784096d40d437a2c0dc22c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
猞 猁206030,903
貉 子48
獾 子69
狐 狸.19
/ 狼8
梅 花 鹿20
环 颈 雉320
猫 头 鹰20
黑 熊1020
"} {"image_path": "images/009eb2500aa8dfb297293b82e1e7e300.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
德泰#錢莊德#錢莊德裕錢莊#太錢莊福厚長錢莊長盛元錢莊永昌錢莊名穪
民廿二年三月民廿一年一月民廿一年一月民十八年二月民十八年二月民十二年二月民八年三月開設年月
叁萬元肆萬元贰萬肆千元壹萬陸千捌百元肆萬元肆萬元贰萬肆千元资本额
備考
"} {"image_path": "images/e4fea03241a42a27ce1f6b6d0fd694a8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
X X 年凭 证摘 要对应帐户借 方贷 方借或贷余 额
种类号数
101月初余额0
1016转帐08提折旧制造费用1000
管理费用600
1018转帐09接受其他单位投资固定资产5000
1031月 结066006600
"} {"image_path": "images/500f927f7fbd2e3749cd8ca4c94b066e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
电算代号定 额 编 号HY -422HY -423HY -424HY -425HY -426HY -427
项 目单位链形悬挂
软横跨节点
双横承力索
节点 1节点 2节点 5、14节点 6节点 7节点 8
基 价958.851046.69554.85819.43872.87813.95
其中人 工 费45.1945.1945.1945.1945.1945.19
材 料 费862.19950.03458.19722.77776.21717.29
机械使用费51.4751.4751.4751.4751.4751.47
重 量t0.0480.0600.0180.0260.0260.031
10人工工 日2.032.032.032.032.032.03
1843镀锌钢绞线 1×19 $\\Phi 9 \\sim 12$kg12.3418.4112.3412.3412.3412.34
1882镀锌低碳钢丝 $\\Phi 2.8 \\sim 5$kg1.491.491.492.991.49
1883镀锌低碳钢丝 $\\Phi 1.2-2.8$kg0.380.500.38
10871球头挂环 Q-72.0103.015
10875碗头挂板 WS-71.0051.005-1.005
40026长支持器 1 JL10-891.005
40027定位环1 JL12-891.005
"} {"image_path": "images/3f96679911a646e919f770eab578a5e2.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Competitive TypeMature Type
Where career flourishesWhere we can best grow
Find place in the sunDiscover gifts
A star is bornMake a difference
With \"friend\" who hascontactsCelebration
ApplauseSharing
Wants to be seenWants to be happy
Always trying to upgradethe situationMakes the most of thepresent
New faces, new placesAll three
Be your bestSteady, you've already won
"} {"image_path": "images/558cd4a64a6a116b2fc1142676eecdf8.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Focus levels(sch)Standard XCFPhase-double XCF
Largest valueCentral valueCentral value
1, 0·60·290·140·86
1, 1·40·530·530·78
1, 1·80·26-0·170·85
1, 2·2-0·19-0·080·75
1, 2·60·220·220·78
1, 3·0-0·15-0·100·71
1, 3·4-0·140·080·65
1, 3·8-0·130·050·66
"} {"image_path": "images/c7a6fd0fcefd2302f71405c416959fc4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
試験中的焦炭编 号面号裂紋投影长度(公分)面的投影面积$公分^2$一块的平均 长 度公分一块的平均 宽 度公分
横 向縱 向
1126191531611
2
3
4
21
2
合 計$\\sum l$ 横$\\sum l$ 機$\\sum S$$\\sum h$$\\sum b$
"} {"image_path": "images/67c68f660ed7eb2cccdde54f0b6edfeb.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份播种面积其 中
稻 米麦 类薯 类豆 类水 果蔬 莱经济作物
19795 6622 497271183410636258
19805 636 2 377320183261408644262
19815 6002 278352185265404647269
19825 5902 257355188276400647258
19835 598 2 273358 187277 396644262
19845 396 2 315349 ...............
19855 3792 342347...............
19865 358 2 303353...............
"} {"image_path": "images/10afc3b7d36338e25ed02cd361d5c354.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
O1392程序号
N0010H000=0给 H000 赋值为 0
N0020H001=110给 H001 赋值为 0.11
N0030G90 G92 X0.Y-55指定绝对坐标,预设当前位置
N0040T84 T86开启工作液,运丝
N0050C007指定空行程放电条件号
N0060G01 X0 Y-52直线插补加工到点(0,-52)
N0070C003指定加工条件
N0080G42 H000建立右补偿
N0090G01 G01 X0. Y-50直线插补到起点(0,-50)
N0100G42 H001对切割路径进行右补偿
N0110G03 X35. Y-35.707 I0. J50圆弧插补到点(35,-35.707)
N0120G01 X35. Y-70直线插补到点(35,-70)
N0130G01 X50. Y-45直线插补到点(50,-45)
N0140G01 X50. Y0直线插补到点(50,0)
N0150G03 X35.707 Y35. I-50圆弧插补到点(35.707,35)
N0160G01 X70. Y35直线插补到点(70,35)
N0170G01 X45. Y50直线插补到点(45,50)
N0180G01 X0. Y50直线插补到点(0,50)
N0190G03 X-35. Y35.707 J-50圆弧插补到点(-35,35.707)
N0200G01 X-35. Y70—直线插补到点(-35,70)
N0210G01 X-50. Y45—直线插补到点(-50,45)
N0220G01 X-50. Y0直线插补到点(-50,0)
N0230G03 X-35.707 Y-35.150圆弧插补到点(-35.707,-35)
N0240G01 X-70. Y-35直线插补到点(-70,-35)
N0250G01 X-45. Y-50直线插补到点(-45,-50)
N0260G01 X0. Y-50直线插补到起点(0,-50)
"} {"image_path": "images/e79dd901efe11d5ced975bafbd96a663.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
适用气温范 围(℃)用 途配 方
环氧树脂乙 二 胺邻苯二甲酸二丁酯橡 皮 粉丙 酮丁 腈 橡 胶
-1~18胶 结100202520
18~40胶 结10010252020
补 洞10012201030
"} {"image_path": "images/e3b7abfe80937183781d146dbf062d20.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Protective coatingFormation of corrosion productsMinimum thickness of layers $[\\mu]$Application
electrolytic tin-plating of steelgradual greying, in the pores rapidrusting of steel20unsuitable if coatings not entirelywithout pores
copper- and brass-platinggradual darkening until verdigrisforms, corrosion products of lowconductivity~unsuitable; copper-plating sui-table only as base layer in the caseof protective nickel-plating;brass-plating is always unsuitable
spraying of zinc and aluminiumformation of corrosion productsvery slow200very suitable for protection ofsteel structures in outdoor atmo-spheres and as primer underpainting
diffusion layers of Cr, Zn, Alno sufficient experience; resistanceof diffusion Cr or Zn layersprobably good; diffusion alumi-nium layers (alumination, alitizing)unsuitable
hot-galvanising of steelsimilar to electrodeposition ofzinc50only for products in which outerappearance not essential; suitedfor bulky commodities that may,in addition, be protected bypaints, etc.
hot dip tinning of steelwith normally tinned (white) steelsheet rapid rusting25normally tinned (white) sheetcannot be used in machines; ifthickness of layer 25 $\\mu$ at least,porosity is small, so that applica-bility increases
"} {"image_path": "images/c82ab6f2fc27996cd82d0a01792485c9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地区2011 年2012 年2013 年2014 年2015 年
网民数(万人)普及率(%)网民数(万人)普及率(%)网民数(万人)普及率(%)网民数(万人)普及率(%)网民数(万人)普及率(%)
浙江305256.1322159333060.8345862.9359665.3
安徽158526.6186931.3215035.9222536.9239539.4
福建210257228061.3240264.1247165.5264869.6
江西108824.4126728.5146832.6154334.1175938.7
山东362537.8386640.1432944.7463447.6478948.9
河南258227.5285630.4328334.9347436.9370339.2
湖北212937.2230940.1249143.1262545.3272346.8
湖南193629.5220033.3241036.3257938.6268539.9
广东630060.4662763.1699266728668.5776872.4
广西135329.4158634.2177437.9184839.2203342.8
海南33838.938443.741146.44214746651.6
重庆106837119540.9129343.9135745.7144548.3
四川222927.7256231.8283535.1302237.3326040
贵州84024.299128.6114632.9122234.9134638.4
云南114024.8132128.5152832.8164335.1176137.4
西藏9029.910133.311537.412339.414244.6
陕西142938.3155141.5168945174546.4188650
甘肃70027.47953189434.795136.8100538.8
青海20836.923841.927447.82895031854.5
宁夏20732.825840.328343.729545.132649.3
新疆88240.496243.6109449113950.3126254.9
"} {"image_path": "images/31b70133141effcfd3e2b64eb2c484c7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CMM MeasurementCET Measurement ErrorSensitivity
x/Hy/Hx/Hy/H
1.5243*1.08541.52441.08635
1.7881*1.68811.78741.68915
1.2650*1.68501.26491.68542
0.7359*1.68570.73571.68514
-1.65684.8708-1.65744.86972
1.37214.87401.37214.87341
-1.66657.8930-1.66157.89286
1.36367.90841.36687.90764
6.42664.25976.43544.245622
4.27036.38834.27516.38458
4.28972.10524.29352.096819
2.14294.24222.14494.24026
-4.50441.8129-4.50811.802024
-6.64873.9425-6.65223.934711
-4.51816.0968-4.51606.09663
-2.36563.9577-2.36693.95644
"} {"image_path": "images/8e672e5595f30c52484f2a18e439cec5.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
饲料 给量(千克)占日粮(%)占精料(%)
豆饼1.64.516.2
饲料蛋白酵母粉1.02.810.1
玉米4.813.548.5
麸皮2.57.125.2
苜蓿干草4.011.2
青贮18.050.8
胡萝卜3.08.5
食盐0.10.28
磷酸钙0.30.85
合计35.3
"} {"image_path": "images/58d3b0850b300912cc8a236ef4491b09.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
营养成分含 量营养成分含 量
热能 (千卡)211. 0维生素 C (毫 克)5. 0
蛋白质 (克)20. 0维生素 E (毫 克)0. 66
脂肪 (克)1. 2钾 (毫 克)464. 0
糖类 (克)30. 1钠 (毫 克)11. 2
膳食纤维 (克)31. 6钙 (毫 克)83. 0
胡萝卜素 (微 克)20. 0镁 (毫 克)147. 0
维生素 A (微 克)3. 0铁 (毫 克)10. 5
维生素 $\\mathrm{B}_{1}$(毫 克)0. 19锌 (毫 克)8. 57
维生素 $\\mathrm{B}_{2}$(毫 克)1. 26磷 (毫 克)258. 0
尼克酸 (毫 克)20. 5硒 (微 克)6. 42
"} {"image_path": "images/311101621c4c06cfb458a711e1229e28.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
轉 子 的 位 置所 悬 挂 荷 重 的 重 量
1$\\text{II}_1$
2$\\text{II}_2$
3$\\text{II}_3$
4$\\text{II}_4$
5$\\text{II}_5$
6$\\text{II}_6$
"} {"image_path": "images/b1ff37046283fa14390234f350c6e503.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1 9 5 9 年1 9 6 0 年
一季度二季度三季度四季度合計一季度二季度三季度四季度
1,0609891,2752,2326,5841,4671,5291,1592,429
32364218284486298242376(一)430
22113622211--
3(一)84(一)6442191157
976316(一)65(一)281(一)3546(一)14(一)278
234316(一)2792
7-(一)40276(一)61-11
-(一)3(一)37(一)7623(一)913163
---1(一)239 (一)21(一)275(一)196
18--155175-97-78
--29(一)14373(一)82160(一)108
----26172-7
----(一)11(一)5(一)1-(一) 5
-67249328212420
"} {"image_path": "images/cd9a58c73510bae3291e8e722b0fe277.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
作者时间作品获奖情况主办单位
林森竹2005 年《海神赋》等二首“雪津杯 · 心中妈祖”征文活动“佳作奖”中华妈祖文化交流协会、福建雪津啤酒有限公司
郑汉琛2003 年诗词“三羊开泰” 全国诗词联大奖赛“优秀作品奖”,并入选作品集中华诗词社、北京文华图书编著中心
2004 年对联“金猴杯” 海内外春联大赛“优秀奖”北京华夏翰墨文化艺术研究院
洪照宏2000 年长联“颂祖国, 迎回归” 征联活动“一等奖”福建日报
黄玉盘2004 年诗词《沁园春 · 陪伴台胞重游海月岩感怀》在\"盼回归统一祖国\"诗词大赛中获\"剑胆琴心诗词艺术家\"荣北京市对台事务办公室
"} {"image_path": "images/6a64abc35336a4320403a9ecbc899981.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
级别 mm产 率%品 位 金 含 量
Au 克/吨Cu %Fe %个别%累计%
0.17.44 0.30.091 3.909.02
$0.1 \\sim 0.074$20.940.20.0874.3216.9225.94
$0.074 \\sim 0.043$16.050.20.0736.2412.9738.91
$0.043 \\sim 0.037$15.480.2 0.0665.7012.5151.42
-0.03740.090.30.1007.1448.58100
100.000.250.087 5.94
"} {"image_path": "images/8139b20fecc2f13ebefb42bb933417aa.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号名 称规格、型号计量单位价格 / 元
17液压翻斗挖掘机PC200-3 , $0.8m^3$台班1100
18液压翻斗挖掘机 车型 EX200 - 1 , $0.8m^3$ , 水山 140 镐机2000元台班1100
19液压翻斗挖掘机 车型 EX200 - 1 , $0.8m^3$ , 机械配置 : 水山 140镐机 2000元台班1100
20液压翻斗挖掘机EX200 - 5 , $0.8m^3$ , 水山 140 镐机 2000 元台班1100
21液压翻斗挖掘机CATE200B, $0.9m^3$, 东洋 160 镐机 2000元台班1100
22液压翻斗挖掘机CATE200B, $0.9m^3$, 水山 140 镐机 2000元台班1100
23液压翻斗挖掘机 EX200 - 6, 1$m^3$台班1100
24液压翻斗挖掘机 车型 EX220 - 2 , $1m^3$, 机械配置 : 水山 140镐机 2000 元台班1100
25液压翻斗挖掘机$1m^3$26000
26液压翻斗挖掘机神钢 310, $1.6m^3$台班1500
27液压翻斗挖掘机型号PC400 - 3, $2m^3$台班1500
28履带式液压单斗挖掘机日立台班2000
29挖掘机R200 , 进出场费 1000 元33000
30挖掘机R290, 进出场费 1000 元50000
31挖掘机R290, 进出场费 1000 元1800
32挖掘机R200, 进出场费 1000 元1400
33挖掘机加长臂R290, 进出场费 1000 元2500
34装载机ZL30台 / 月9315.00
35ZL50台 / 月10530.00
36翻斗车1 0t台 / 月1944.00
"} {"image_path": "images/b1a0525b8b3982cba7e771c15ee79e08.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
位 序公 司 名 称总 公 司所 在 地$部门^①$$\\begin{array}{c}\\text{销售额}^\\text{②} \\\\(\\text{亿美元}) \\\\\\end{array}$$资产额^③$(亿美元)$\\begin{array}{c}\\text{净收入}^\\text{④} \\\\(\\text{亿美元}) \\\\\\end{array}$$\\begin{array}{c}\\text{职工人数}^\\text{⑤} \\\\(\\text{人}) \\\\\\end{array}$
1983198219811980
239174156177 NL工业公司(NL Industries)纽 约化学14.4619.27(1.07)12,775
240252256252阿姆斯特朗世界工业公司( Armstrong WorldIndustries )宾夕法尼亚州兰开斯特纺织14.399.550.6319,835
241239247253$\\begin{array}{c}\\text{霍梅尔公司}^\\text{⑱} \\\\(\\text{Geo.A.Hormel}) \\\\\\end{array}$明尼苏达州奥斯汀食品14.185.130.286,765
242259216216帕卡公司(PACCAR)华盛顿州贝尔维尤汽车14.128.960.409,146
243234265.$农业联合交换中心^⑭$( Farmers'Union CentralExchange)圣 保 罗石油14.096.90...2,962
244207202213$\\begin{array}{c}\\text{安德森—克莱顿公司}^\\text{⑦} \\\\(\\text{Anderson Clayton}) \\\\\\end{array}$休 斯 敦食品13.908.660.2212,631
245249267279威特科化学公司( Witco Chemical)纽 约化学13.867.330.528,155
246257269277齐尼思无线电公司(Zenith Radio)伊利诺斯州格伦维电子、器 械13.617.390.4630,000
"} {"image_path": "images/a56bba7d82a60b2839dc50a1561808ac.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
货 名进出口合计出 口进 口
万 吨%万吨%万吨%
合 计10, 6581005, 6961004, 962100
煤 炭2, 83426.61, 813 31.81, 02120.6
石 油3, 25530.51. 656 29.11, 59932.2
其中: 原油2, 59024.3.1. 22121.41, 36927.6
金属矿石8047.52033.660112.1
钢 铁3072.92183.8891.8
矿 建 材 料1, 62515.390715 . 971814.4
水 泥1371.3781.4591.2
木 材1561.5721.38-1.7
非金属矿石6426.03365.93066.2
其中: 磷矿石3273.11602.81673.4
化肥及农药2822.61101.91723.5
650.6190.3460.9
粮 食1761.7881.6881.8
其 他3753.51963.41793.6
"} {"image_path": "images/6df89a40abc5f1bcff588b4683899517.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份塘 鱼水 稻平均亩产(斤)杜 员分 配(元)
面积 (亩)总产 (担)亩产 (斤)
一九七一年160260162769111
一九七二年170403237769121
一九七三年195630323839139
一九七四年197849435757123
一九七五年2081008484737101
一九七六年2081152553803126
一九七七年23914836201130196
一九七八年2531677662945173.6
"} {"image_path": "images/92a532ed24a9e2465009bb5db48c7a27.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
ModelF Super Sports
Years1938-39
RAC rating10.0
Bore and stroke63.5×92.5mm
No of cyls, capacity4,1172cc
Power output30bhp
ValvesSide valves
ClutchSingle-plate
Gearbox, no of gearsThree-speed
Final drive ratio4.85:1
SuspensionIndependent sliding-pillar front,quarter-elliptic rear
BrakesOn three wheels, Girling rod-operated
Tyre size, wheels4.00×18;wire wheels
Wheelbase8ft 3in (2515mm)
Weight
Top speed74mph (119km/h)
Price£136
"} {"image_path": "images/2d4feeef3391aceab3c523dfd504795b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HerkunftGenanntesVerbreitungs-gebietFarbeGeschmackAlkohol-gehalt
WeißbierBayern, Ber-lin, LeipzigBayern, Berlin,Leipzig, Paula-ner/süß2,8 Prozent
PilsdieTschechischeRepublikganz Deutsch-landhell-goldenbitter/
AltbierDüsseldorfam Niederrheindunkelbitter/
KölschKölnganz Deutsch-landhellleicht/
BockbierEinbeck beiHannover,Norddeutsch-land///bis zu 7Prozent
"} {"image_path": "images/ca38ffeddcfade112bb68eac6a80c6cf.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
高 频 群低 频 群1209Hz1336Hz1477Hz1633Hz
697Hz123A
770Hz456B
852Hz789C
941Hz*0#D
"} {"image_path": "images/36b9f856aea8ac95e114376631acb179.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
搭桥银行设立情况倒闭日期搭桥银行倒闭银行数量资产总额存款总额
110/31/871-资本银行和信托公司1$ 386,302$ 303,986
207/29/882-第一共和银行(德克萨斯州)4032,835,27919,528,204
08/02/883-第一共和银行(特拉华州)1*582,350*164,867
303/28/894-麦科普银行2015,748,53710,578,138
407/20/895-德克萨斯美洲股份银行24*4,733,686*4,150,130
512/15/896-第一美洲银行和信托公司11,669,7431,718,569
601/06/917-新英格兰银行1*14,036,401*7,737,298
01/06/918-康涅狄格银行和信托公司1*6,976,142*6,047,915
01/06/919 - 缅因国民银行1*998,323*779,566
710/30/9210-第一城市银行-艾利斯 (德克萨斯州)1127,990119,187
10/30/9211-第一城市银行-阿兰萨斯帕司(德克萨斯州)154,40647,806
10/30/9212-第一城市银行-奥斯汀 (德克萨斯州)1346,981318,608
10/30/9213-第一城市银行-博蒙特 (德克萨斯州)1531,489489,891
10/30/9214-第一城市银行-布莱恩 (德克萨斯州)1340,389315,788
10/30/9215-第一城市银行-科珀斯克里斯蒂(德克萨斯州)1474,108405,792
10/30/9216-第一城市银行-达拉斯 (德克萨斯州)11,324,8431,224,135
10/30/9217-第一城市银行-埃尔帕索(德克萨斯州)1397,859367,305
$10 / 30 / 92$18-第一城市银行-格雷厄姆(德克萨斯州)194,44685,667
10/30/9219-第一城市银行-休斯顿 (德克萨斯州)13,575,8862,240,292
10/30/9220-第一城市银行-康兹(德克萨斯州)150,70646,481
"} {"image_path": "images/b8cfab5a204680d37cd8cb0ba8cb0782.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
机构名称资料来源
家令寺永徽残卷1020
旧唐书未记未记
唐六典1020
册府元龟1020
新唐书1020
仆 厩之牧寺 署永徽残卷36
旧唐书未记未记
唐六典35
新唐书36
"} {"image_path": "images/09c8b1e621753e4f95813f836dc5521c.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
xiāng襄YKKe亠口口#
YKKe亠口口#
xiāng骧CYKe马亠口#
CGYE#㇀亠#
xiāng镶QYKe 钅亠口#
QYKe钅亠口#
xiáng详YUDh讠丷##
YUb讠羊#
"} {"image_path": "images/2cd63b18ebd8c6d597c3d3c5b415167e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
工 事 名 称作业力( 人时) 作 业 条 件
单人 (单兵火箭)掩体卧射0.25 在预有准备情况 下 , 中 等 土质 , 用小圆锹挖掘。
跪射0.8
立射1
带踏垛2
机 枪掩 体卧射0.4
跪射1.2
立射2.5
高射6
火箭筒掩 体卧射0.25
跪射0.8
立射1
备 注1.机枪掩体作业时间, 是正副射2.火箭筒掩体作业时间是挖两个
"} {"image_path": "images/030aac464fd4f5911da9d7aec3268bf7.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Altitude(km)500750150030003000600010000
Inclination$\\mathrm{90°}$$\\mathrm{90°}$$\\mathrm{90°}$$\\mathrm{90°}$$\\mathrm{0°}$$\\mathrm{0°}$$\\mathrm{0°}$
$\\begin{equation}\\begin{array}{c}{\\text{Total Flux }(A)} \\\\{(\\mathrm{cm}^{2}\\mathrm{day})^{-1}}\\end{array}\\end{equation}$$\\begin{equation}\\begin{array}{c}1.86 \\\\\\times10^6\\end{array}\\end{equation}$$\\begin{equation}\\begin{array}{c}9.65 \\\\\\times10^6\\end{array}\\end{equation}$$\\begin{equation}\\begin{array}{c}1.46 \\\\\\times10^8\\end{array}\\end{equation}$$\\begin{equation}\\begin{array}{c}7.67\\\\\\times10^8\\end{array}\\end{equation}$$\\begin{equation}\\begin{array}{c}3.70 \\\\\\times10^9\\end{array}\\end{equation}$$\\begin{equation}\\begin{array}{c}1.52 \\\\\\times10^9\\end{array}\\end{equation}$$\\begin{equation}\\begin{array}{c}9.04 \\\\\\times10^7\\end{array}\\end{equation}$
$\\begin{equation}\\begin{array}{c}{(F)\\mathrm{for}} \\\\{{E_{\\mathrm{pc}}}^\\mathrm{a}=35\\mathrm{MeV}}\\end{array}\\end{equation}$0.8100.8060.7660.5290.5450.1740.049
$\\begin{equation}\\begin{array}{l}{\\text{Calculated }C} \\\\{{E_{\\mathrm{pc}}}^{a}=35\\mathrm{MeV}}\\end{array}\\end{equation}$331732483900744766587198
$\\begin{equation}\\begin{array}{c}{(F)\\mathrm{for}} \\\\{E_{pc}{}^{b}=70\\mathrm{MeV}}\\end{array}\\end{equation}$0.5800.5850.5500.3250.3460.0560.004
$\\begin{equation}\\begin{array}{l}{\\text{Calculated }C} \\\\{{E_{\\mathrm{pc}}}^{\\mathrm{b}}=70\\mathrm{MeV}}\\end{array}\\end{equation}$24125178355342842018908.0
$Petersen^{\\prime}s~C$18931324437022300226435
"} {"image_path": "images/347952db4633cf05ad8f3208b952928b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
RANKSTATEWAGES
39Alabama$26,350
1Alaska53,090
37Arizona27,470
47Arkansas24,500
19California31,550
12Colorado34,470
10Connecticut35,670
9Delaware36,630
18Florida31,580
22Georgia30,350
3Hawaii41,980
13Idaho33,740
16Illinois32,420
32Indiana29,010
43lowa25,950
41Kansas26,290
40Kentucky26,310
45Louisiana25,900
36Maine27,640
4Maryland41,530
6Massachusetts37,690
24Michigan29,930
25Minnesota29,870
43Mississippi25,950
17Missouri32,260
48Montana23,750
28Nebraska29,650
2Nevada42,540
11New Hampshire35,570
14New Jersey33,660
27New Mexico29,770
7New York37,470
30North Carolina29,420
42North Dakota26,030
38Ohio27,010
50Oklahoma23,040
8Oregon37,280
33Pennsylvania28,350
15Rhode Island33,550
23South Carolina29,980
46South Dakota25,530
20Tennessee31,050
34Texas27,740
26Utah29,800
29Vermont29,480
21Virginia31,010
5Washington38,790
49West Virginia23,370
35Wisconsin27,710
31Wyoming29,330
"} {"image_path": "images/be93b90fc54217569224fcb30585de96.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
MeasurementNo. Total Febefore EMSppb Total Feafter EMSppbMagnetiteafter EMSppb
11868831
2 29286
31840
4 56332
51577515
6135020055
721214718
81521151
9113503
1090438
11994516
1237180
1344154
14 38128
"} {"image_path": "images/d1c662a065dc6572195c861e38d99559.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
年 份项 目 198519901995 1985 - 1990增长速度 % 1990 - 1995增长速度 % 1985 - 1995增长速度 %
乡办工业21.7122.8722.881.050.010.53
村办工业63.2668.0868.991.480.030.87
合作经营工业74.1759.6637.16-4.26-9.03-6.68
城乡个体工业334.78617.60568.8213.03-1.635.44
其他经济类型工业0.170.886.0338.9346.9542.86
"} {"image_path": "images/fd66811d23f03e9e0e780f475ef433b6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
梁 CW41111
余 ZC41111
梁 XD4121
梁 ZR51211
韦 YP61212
韦 JZ11
韦 JM51121
梁 YR4211
梁 YR4121
梁 YE6222
韦 RF4121
梁 QW4211
韦 BZ4121
"} {"image_path": "images/be25f6b720ea7b5b675cba2336ce0f36.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
$~~u$$\\nu$23456789
212$\\frac{5}{2}$$\\frac{7}{2}$$\\frac{7}{2}$$\\frac{9}{2}$$\\frac{9}{2}$$\\frac{11}{2}$
322$\\frac{7}{2}$$\\frac{7}{2}$$\\frac{9}{2}$$\\frac{9}{2}$$\\frac{11}{2}$$\\frac{11}{2}$
4$\\frac{5}{2}$$\\frac{7}{2}$220$-$1$-\\frac{7}{2}$$-\\frac{9}{2}$
5$\\frac{7}{2}$$\\frac{7}{2}$20$-$2$-$6$-\\frac{17}{2}$$-\\frac{29}{2}$
6$\\frac{7}{2}$$\\frac{9}{2}$0$-$2$-$10$-$15$-\\frac{51}{2}$$-\\frac{67}{2}$
7$\\frac{9}{2}$$\\frac{9}{2}$$-$1 $-$6-15-25$-\\frac{73}{2}$$-\\frac{103}{2}$
8$\\frac{9}{2}$$\\frac{11}{2}$$-\\frac{7}{2}$$-\\frac{17}{2}$$-\\frac{51}{2}$$-\\frac{73}{2}$$-$59$-$76
9$\\frac{11}{2}$$\\frac{11}{2}$$-\\frac{9}{2}$$-\\frac{29}{2}$$-\\frac{67}{2}$$-\\frac{103}{2}$$-$76$-$103
"} {"image_path": "images/7c49eb1ab6ca493a8ad07feedec1ab9b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
姓 名工 作 单 位专 业当选年份姓 名工 作 单 位专 业当选年份
严 恺河海大学水利和海岸工程1955张淑仪南京大学声学所声学1991
李庆逵中科院南京土壤所土壤农业化学1955赵其国中科院南京土壤所土壤地理学1991
卢衍豪中科院南京地质古生物所地层古生物学1980程镕时南京大学化学系化学1991
业治铮地矿部南京地矿所沉积学、海洋地质学1980游效曾南京大学化学系化学1991
冯 端南京大学物理系固体物理学1980窦国仁水利部南京水利科学研究院泥沙及河流动力学1991
曲钦岳南京大学天文系天体物理学1980熊大闰中科院紫金山天文台天文学1991
任美锷南京大学地理系地貌学、海洋地质学1980朱兆良中科院南京土壤所土壤学1993
李星学中科院南京地质古生物所古植物学、地层学1980齐 康东南大学建筑研究所建筑设计、城市规划设计1993
时 钧南京化工大学化学工程学1980郭令智南京大学地质系构造地质学1993
陈 彪中科院紫金山天文台天文学1980盛金章中科院南京地质古生物所古生物学1993
周立三中科院南京地理与湖泊所经济地理学1980于天仁中科院南京土壤所土壤化学1995
施雅风中科院南京地理与湖泊所地理学、冰川学1980方 成南京大学天文系天体物理学1995
顾知微中科院南京地质古生物所地层古生物学1980冯纯伯东南大学自动化所自动控制学1995
钱钟韩东南大学热工自动化学1980沈珠江水利部南京水利科学院岩土工程学1995
徐克勤南京大学地质系地质学、矿床学1980周志炎中科院南京地质古生物所古植物学、地层学1995
徐芝纶河海大学工程力学1980胡宏纹南京大学化学系有机化学1995
高济宁南京大学化学系化学1980徐国钧中国药科大学生药学1995
戴安邦南京大学化学系化学1980席承藩中科院南京土壤所土壤学1995
魏荣爵南京大学声学所声学1980王德滋南京大学地质系岩石学1997
王业宁南京大学物理系物理学1991孙义燧南京大学天文系天体力学1997
江元生南京大学化学系化学1991戎嘉余中科院南京地质古生物所地层古生物学1997
孙钟秀南京大学计算机系计算机科学1991伍荣生南京大学天气动力学1999
苏定强中科院南京天文仪器研制中心天文学1991薛禹群南京大学水文地质与工程地质学1999
闵乃本南京大学物理系物理学1991陶宝祺南京航空航天大学智能材料与结构1999
"} {"image_path": "images/2b5dbae5f5633683784d107874099b31.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地 区(2)良种及改良种乳牛其 中(3) 水牛其 中2. 马其 中
能繁殖的母 畜当年生仔 畜能繁殖的母 畜当年生仔 畜能繁殖的母 畜当年生仔 畜
全国总计384.34188.5289.162 291.32900.17310.791 003.73361.42146.66
北 京5.603.101.622.080.700.18
天 津2.541.630.572.260.570.18
河 北43.8119.2810.8147.9418.897.93
山 西9.856.342.0010.014.221.46
内 蒙 古58.6523.8313.66148.2344.1020.14
辽 宁6.414.331.3044.3021.156.84
吉 林5.933.201.4975.6331.5313.47
黑 龙 江73.2341.1417.13102.8544.3919.23
上 海5.932.720.730.730.320.06
江 苏3.652.060.8034.0712.185.722.470.930.57
浙 江3.102.300.5116.406.232.05
安 徽2.191.010.39126.9342.7714.245.662.411.16
福 建2.061.540.4743.7419.465.540.100.040.02
江 西2.241.350.60134.3356.6819.05
山 东6.274.572.351.760.740.4442.1716.638.91
河 南2.101.000.3939.0814.595.7238.7216.368.47
湖 北2.231.380.50180.0975.6827.482.590.830.30
湖 南 0.430.420.05168.4267.0521.951.520.330.10
广 东2.370.25260.87107.8037.970.050.020.01
广 西0.470.320.11428.97177.6360.3030.3210.673.49
海 南0.0787.5235.3814.21
四 川3.872.700.61271.83105.9739.0459.1118.877.33
贵 州1.820.640.29214.0283.4628.2375.9122.657.88
云 南7.155.191.27280.7693.6128.5794.1431.479.10
西 藏30.0411.0036.0312.983.22
陕 西7.504.572.151.800.620.223.461.360.55
甘 肃16.329.516.7438.8415.135.42
青 海7.403.641.5537.2411.252.41
宁 夏4.052.680.901.790.660.19
新 疆67.0627.0719.92100.3133.2818.10
"} {"image_path": "images/86eed4dfffd251d55daa369814510c5e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
定 义研究对象参考系运动性质联 系
三种运动绝对运动动点相对于静系的运动动点静系点的运动$\\begin{array}{c}\\text{相对运动}\\\\ \\text{牵连运动}\\end{array}\\stackrel{\\text{合成}}{\\underset{\\text{分解}}{\\rightleftharpoons}}\\text{绝对运动}$
相对运动动点相对于动系的运动动系动系点的运动
牵连运动动系相对于静系的运动动系静系刚体运动
三种速度点的绝对速度$v_r$动点相对于静系的速度动点静系点的运动点的速度合成定理$v_{a}=v_{e}+v_{r}$
点的相对速度$v_r$动点相对于动系的速度动点动系点的运动
点的牵连速度$v_r$动点、动系的瞬时重合点相对于静系的速度动点静系点的运动
"} {"image_path": "images/ecc9d58881e98a469f216141ec6c83b0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号图 纸 名 称图 号规 格张数版次本图册选用
1图纸目录S1234-结施A42张1
2结构设计总说明(一)S1234- 结施-1A21张1
3结构设计总说明(二)S1234- 结施-2A11张1
4桩位布置图 S1234- 结施-3 A11张1
5承台平面布置图 S1234- 结施- 4 A11张1
6承台详图 (一)S1234- 结港- 5A11张1
7承台详图(二)S1234- 结施- 6A11张1
8首层结构平面布置图、梁配筋图 S1234- 结施- 7 A11张1
9二层结构平面布置图、梁配筋图S1234- 结施- 8A11张1
10三层结构平面布置图、梁配筋图S1234- 结施- 9A11张1
11四层结构平面布置图、梁配筋图S1234- 结施-10A11张1
12五层结构平面布置图、梁配筋图S1234- 结施-11A11张1
13六层结构平面布置图、梁配筋图S1234- 结港- 12A11张1
1426.460层结构平面布置图、梁配筋图S1234- 结施-13A11张1
15屋面结构平面布置图、梁配筋图S1234- 结施- 14A11张1
16预应力设计说明与梁板预应力束型图S1234- 结施-15 A11张1
17梁板预应力束型图 与端部大样图S1234- 结施-16A11张1
18首层平面板配筋图S1234- 结施-17A11张1v
"} {"image_path": "images/0c857923e935d0892a0de79131a47620.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
19501980 ConservativeEstimate1980 ModifiedEstimate
Burma18.532.345.3
Cambodia3.98.79.9
Federation of Malaya5.214.014.4
Java.50.092.3
Indonesia75.0138.5160.1
Laos1.32.52.9
Philippines20.250.857.0
Singapore1.063.3
Thailand18.641.647.5
Viet Nam26.044.649.1
"} {"image_path": "images/5ddf4a701c538a9d4e0bf04412ba1b68.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
火箭型号起飞质量/t高度/m最大直径/m整流罩直径/m级数起飞推力/kN运输能力/kg
LEOSSOGTO
CZ-181.529.92.251.531020300
CZ-218034.63.35227482100
CZ-2C24340.03.353.35227483800
CZ-2D23239.53.35229623300
CZ-2E46049.73.354.22.559238000
CZ-2F48058.33.353.82.559238000
CZ-320444.83.353.0329621500
CZ-3A24152.53.353.35329622650
CZ-3B42655.63.354.23.559235100
CZ-3C34554.83.354.0429623800
CZ-4A248.941.93.352.9329711600
CZ-4B248.545.63.353.35329622800
CZ-610329.23.352.631200500
CZ-759753.13.354.22.57200135005500
CZ-115820.83.3541176700350
"} {"image_path": "images/d31a724fdb183e52197f527ff2e4fc4f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
树 名档案号树 号树 高干 径干 周东西冠幅南北冠幅区 域新生长级
古松1000115.758160811陵下东区
古松2000223.5701909.411陵下东区
古松4000318.5702001010.6陵下东区
古松7000417902301110陵下东区
古松13000521.5100230108陵下东区
古松14000623.5902309.39.2陵下东区
古松15000724.58523011.212陵下东区
古松16000819802101512.5陵下东区
古松1800092370180911陵下东区
古松170010257024011.811.7陵下东区
古松19001123.5702009.66.2陵下东区
古松20001221.555130169陵下东区
古松25001326.311026012.910.4陵下东区
古松27001423752151111陵下东区极弱
古松28001522.57520010.311陵下东区
古松29001619.26518511.611陵下东区
古松300017267019011.89陵下东区
古松31001819.51002401317陵下东区
古松210019241203007.213.2陵下东区
古松320020217518012.28陵下东区
古松34002125601508.311.5陵下东区
古松37002219.2501527.58陵下东区
古松36002321.5902009.112.4陵下东区
古松48002421601909.99.6陵下东区
"} {"image_path": "images/f315ed22728c83c11c14857b992249ef.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类别及品 名计量单位平均价格(元)权数以上年同期价格为100
上年同期本 期指 数指数×权数
茶 叶10099.09900
花 茶公斤7.707.405096.14805
红 茶公斤7.707.7020100.02000
绿 茶公斤6.256.4530103.23096
"} {"image_path": "images/4ba5e4c0ea0b07b968f952074c60f1c0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Sr.noAuthorJournal Year ofPublicationMethod Used
1JIAQI CHEN,et alIEEE Access SPECIAL SECTION ONADVANCED SENSOR TECHNOLOGIESON WATER MONITORING ANDMODELINGVol 7,2019Active contour model
2Erwin,et alInternational MultiConference of Engineersand Computer Scientists,ISSN: 2078-0966Vol 1,March 14-16,2018Regiongrowing,Watershed andAdaptive Thresholding
3Mustafa HayriKesikoglu,et alInternational Conference on InformationTechnology, 978-1-5090-6332-12017Artificial NeuralNetwork
4Suman Das,et alInternational Journal of ComputerEngineering In Research Trends, ISSN:2349-7084Vol 4, Issue 1,January 2017Morphologicaloperation
5Dr. Taleb Obaid,et alInternational Journal of Computer Scienceand Mobile Computing,ISSN 2320–088XVol.5 Issue.1,January- 2016Monte Carlo algorithm
6Ting Liu,et alIEEE Transaction on Image ProcessingVol. 25, NO. 10,OCTOBER 2016Iterative training andtesting algorithm
7Baoan HanInternational Conference on InformationScience and Control Engineering, 978-1-4673-6850-62015Watershedsegmentation algorithm
8Prof. S. S. Kattire,et alInternational Journal of EngineeringResearch & Technology, ISSN: 2278-0181Vol. 3 Issue 12,December-2014Boundary detectionalgorithm
9Joyjit Patra,et alJournal of Computer Engineering, ISSN:2278-8727 Vol 16, Issue2,Mar-Apr. 2014Segmentationtechniques used in thefield of ultrasound andSAR Image Processing
10A. M. Khan,et alInternational Journal of Soft Computing andEngineering, ISSN: 2231-2307Vol-3, Issue-4,September 2013Image SegmentationMethods
11Mua'ad M. Abu-Faraj,etalInternational Journal of Computer ScienceIssues, ISSN : 1694-0814Vol. 10, Issue 6,No 2, November2013Threshold, Edge andwatershedsegmentation.
12N. Senthilkumaran,et alInternational Journal of Recent Trends inEngineeringVol. 1, No. 2,May 2009Soft computingapproaches for edgedetection in imagesegmentation, whichwere based on Fuzzy,Genetic and NeuralNetwork Approach
13James McLurkin,et alInternational Conference on IntelligentRobots and Systems, 978-1-4244-3804-4October 11-15,2009Boundary detectionalgorithm
14Jiang Li,et alIEEETRANSACTION ON GEOSCIENCE ANDREMOTE SENSINGVOL. 41, NO.11,Parametric contourtracing, and Linearpolygonal
"} {"image_path": "images/0759de3930a6dbac0de4ae83863e26c3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
月份合计金额(万元)其中: 主要产品或大类
电视机(台)家用空调(台)制冷设备 (台)
16 3204 3001 300720
22 7701 1001 200470
32 8201 4001 000420
42 8201 2001 300320
52 9001 4001 000500
62 8401 0001 300540
73 2501 1001 600550
82 6201 0001 000620
93 4002 1001 000300
102 3201 0001 000320
117 1702 5004 000670
1212 1706 0005 300870
合计51 40024 10021 0006 300
"} {"image_path": "images/e7cc39bab34f0bb1ee07dc4fe367387e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
地 区海 外 企 业 单 位 数其中通过吞并攫取的企业数
1940年以 前1946年—1957年1958年一1967年1940年以 前1946年一1957年1958年一1967年
西半球(拉美)5087351,309110157477
亚洲、非洲1031764911723109
合 计6119111,800127180586
"} {"image_path": "images/8b4e0bfd0f3820c7aaccf2352c6f08d6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
HexagonalCubic
d $(\\mathring{A})$hk.ld $(\\mathring{A})$hkl
2.76010.0
2.59000.22.592111
2.43010.12.245200
1.88410.21.587220
1.59111.0
1.46110.3
1.38220.0
1.35711.21.354311
"} {"image_path": "images/95bd386f1e4d63facc1294e844db996a.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项目数值
1平均温度 $t_{m} /{ }^{\\circ} \\mathrm{C}$74.0
2$ \\text{平均压力}p_{\\mathrm{m}}/\\mathrm{kPa} $111.8
3气相流量 $q_{v, v}/\\left(m^{3}\\cdot s^{-1}\\right)$ 1.056
4液相流量 $q_{V, L}/\\left(m^{3}\\cdot s^{-1}\\right)$ 0.001
5实际塔板数20
6有效高度 Z/m9.0
7塔径 D/m1.0
8塔板间距 $H_{\\mathrm{T}} / \\mathrm{m}$0.45
9溢流方式单溢流
10降液管类型弓 形
11堰长 $l_{\\mathrm{w}} / \\mathrm{m}$0.65
12堰高 $h_{\\mathrm{w}} / \\mathrm{m}$0.051
13板上清液层高度 $h_{L} / \\mathrm{m}$0.06
14堰上液层高度 $h_{0w}/m$ 0.009
15降液管底隙高度 $h_{0} / \\mathrm{m}$0.015
16安定区宽度 $W_{s}/m$ 0.06
17 无效区宽度 $W_{c} / \\mathrm{m}$0.03
18开孔区面积 $A_a/ m^2$ 0.551
19筛孔直径 $d_{0} / \\mathrm{m}$0.005
20筛孔数目3 247
21孔中心距 t/m0.014
22开孔率 Φ/%11.6
23空塔气速 $u /\\left(\\mathrm{m} \\cdot \\mathrm{s}^{-1}\\right)$1.345
24筛孔气速 $u_{0} /\\left(\\mathrm{m} \\cdot \\mathrm{s}^{-1}\\right)$16.52
"} {"image_path": "images/063926a1f9e4a77e112967a0f67bd07e.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
成本项目本年计划本年实际
直接材料570712.5
直接人工142.5171
制造费用237.5216.5
单位成本9501 100
主要经济指标计量单位消耗量单价消耗量单价
主要材料千克1903187.53.8
生产工时小时28.55305.7
"} {"image_path": "images/2c7339c548ad6cec57f8d1527129b2e6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
岗位层次权重 A分值 A绩效指标考核目标值
研发人员20%100新产品开发周期阅读实际开发周期比计划周期提前__天
25%100项目计划完成率月度项目计划完成率达到______
20%100设计的可生产性季度成果不能投入生产的次数少于__
15%100技术评审合格率月度技术评审合格率达到__
20% .100研发成本降低率月度研发成本降低率达到___
技术人员20%100技术设计完成及时率月度技术设计完成及时率达到__
30%100技术方案采用率季度技术方案采用率达到__
15%100技术改造费用控制率季度技术改造费用控制率达到__
15%100技术服务满意度相关部门对技术服务满意度在__分以上
20%100技术资料归档及时率阅读技术资料归档及时率达到__
"} {"image_path": "images/1b5dd509ce8c06b443f21a4bab119d41.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
#板厚度(公厘) 焊絲直徑(公厘) 間隙(公厘)焊接层次焊接规范焊 絲 拆列 位 置 焊后熔深(公厘)
焊接电流(安培)电弧电压(伏特) 焊接速度(公尺/小时)
3.01.60.5 Ⅰ-Ⅱ280~300280~30023~3028~304848交错排列$a_1 = 5.5$$a_2 = 5$1.8
4.01.60.5ⅠⅡ330~240330~34030~3230~323434交错排列$a_1 = 5.5$$a_2 = 5$2.4
"} {"image_path": "images/810b58141623f93ff47e474b04ed23b6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
CultureProper GiftsImproper Gifts
栽澡凿员丕释土赋撰藻译(猿蚤葬造糟灶怎皂遭藻则
陨凿葬郧皂葬藻燥糟赠藻
酝藻曾燥再漢進曾 , 贝蜡煬煉則憎暑藥麥進曾藥泽( 憎躁火蘂苦輒蘂葉糟粱止燥熱藥上泽
蕴转粤皂藻葬粤噪藻(葬当蠐蚕薬赐糟貤櫟枣烟薬则燥越輸鐡鐚)燥则澡軋圡蠐蔥幡蘆枣(葬泽蠐腎薬階憎蠔薬赐蘆軋䧽
粤遭葬蕴怎燥则憎曾藻(早葬)造
"} {"image_path": "images/6bdc34ddbf34eaa2dc5f9793416de9e1.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
序号项目内容数 量$单价/(元\\cdot {t}^{-1})$效益/万元
1年节水158 万 t0.67105.86
2年增蒸汽 3 万 t100300
3年节电270 万 $kW \\cdot h$0.62167.4
4余热发电的增量63万 $kW \\cdot h$0.50315
5酸性废水装置运行$158\\quad 万\\quad t$0.77121.66
6节省场地$46\\quad 669\\quad m^{2}$增加绿地 10 000 多 $m^{2}$
7节约人工150 人2 万元/人300
合 计1 309.92
"} {"image_path": "images/0a6041a923dc0c5d053e7e3ffb422532.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
分 子A$_{1}$ 振 動E 振 動
$\\nu_{1}$$\\nu_{2}$$\\nu_{3}$$\\nu_{4}$
$\\mathrm{N}\\left(\\mathrm{CH}_3\\right)_3$8273651036423
$\\mathrm{P}(\\mathrm{CH}_3)_3$653263708305
$\\mathrm{As}\\left(\\mathrm{CH}_{3}\\right)_{3}$568223583239
$\\mathrm{Sb}(\\mathrm{CH}_3)_3$513188513188
$\\mathrm{Bi}(\\mathrm{CH}_3)_3$460171460171
"} {"image_path": "images/3e7fada2d796b807c0e30349f0f1c5e0.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
组别规格类别成年男子成 年 女 子少年女子甲组少年男子乙组少年男子甲组
重量 (包括缠绳)800 克600 克700 克
全 长 (厘米)至 少260220240
至 多270230250
金属枪头长度(厘米)至 少252525
至 多333333
金属枪头尖与重心之间的距离 (厘米)至 少908090
至 多11095105
枪身最粗处直径(厘米)至 少2.522.5
至 多 32.52.7
缠绳把手处宽度(厘米)至 少151414.5
至 多161515.5
"} {"image_path": "images/ccebc966da22cf84c62f18aa6ada60bd.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
T(°C)V(m)P(mm)Z(h) $H_{0}(100 \\mathrm{~m})$計算值(耗實測值(耗)
1373- 5291.420 756.5 801.5411.26468.4
1381- 2291.715 748.9 381.5151.72169.7
14220-21272.46763.5151.411.2424.6
14310-11280.78767.5263.736.6750.6
14511-13295.213754.2182.548.1048.5
"} {"image_path": "images/5d60f514f84fdb90790737f20b3b1b88.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
蓄电池組型号長度,公厘寬度,公厘高 度公 厘連同电解液在内的重量公斤
无手柄有手柄无配件有配件
132-AKH-2.2552559016516814.2
264-AKH-2.2552558031732916828.6
34-HKH- 10155/18389/76118/1283.1
45-HKH- 1019089118/1283.84
510-HKH- 2246553514825221.0
617-HKH- 2243547528529725235.0
74-HKH- 4530534514816025214.0
85-HKH- 4537241214816025217.0
97-HKH- 4550857814825224.0
1010-HKH- 4570774715216425233.5
114-HKH- 6026233217038823.5
125-HKH- 6031535517018238829.0
1310-HKH- 6060067017038856.0
144-HKH-10037444417838833.0
155~HKH-10045952917838838.5
1610-HKH-10088495417838875.0
"} {"image_path": "images/d3100601bb33bc658df2cc0aafec04da.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
原 型 号代 换 型 号
$ \\text{ CD4034} $CC4034
$ \\text{ CD4035} $CC4035
$ \\text{ CD4096} $CC4096
$ \\text{ CD4097} $CC4097
$ \\text{ CD4098} $CC4098
$ \\text{ CD4099} $CC4099
$ \\text{ CD4502} $CC4502
$ \\text{ CD4503} $CC4503
$ \\text{ CD4508} $CC4508
$ \\text{ CD4510} $CC4510
$ \\text{ CD4511} $CC4511
$ \\text{ CD4512} $CC4512
$ \\text{ CD4514} $CC4514
$ \\text{ CD4515} $CC4515
$ \\text{ CD4516} $CC4516
$ \\text{ CD4517} $$ \\text{ CC4517} $
$ \\text{ CD4518} $CC4518
$ \\text{ CD4519} $CC4519
$ \\text{ CD4520} $CC4520
$ \\text{ CD4522} $CC4522
$ \\text{ CD4526} $$ \\text{ CC4526} $
$ \\text{ CD4527} $$ \\text{ CC4527} $
$ \\text{ CD4529} $$ \\text{ CC4529} $
$ \\text{ CD4532} $CC4532
$ \\text{ CD4555} $CC4555
"} {"image_path": "images/cb070639ad084b15c1816976c18eed52.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
炉料組成部份CCrSiWMnVPSFe
4X13 廢料0.413.00.5-0.5-0.030.02585.55
B1 廢料1.10.20.21.00.8-0.0150.02097.16
配料鋼坯0.2-0.05-0.3-0.0100.01599.43
Xp4鉻鉄6.0662.5---0.050.02025.43
B1 鎢鉄0.4-0.3720.2-0.040.07026.99
B12 釩鉄0.7-2.0--370.100.08060.12
75$\\%$硅鉄0.10.376-0.5-0.040.0323.03
"} {"image_path": "images/a4a0415ddf9339fa86bdd58e45f04c00.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
政治態度政治行為
族群意識國家認同政黨傾向參加政黨活動討論政治議題投票行為
居住鄉鎭
性别
年齡
居住時間
婚姻
父母省籍
宗教信仰0
教育程度
就業狀況
行業
職位
族群意識
國家認同
政黨傾向
"} {"image_path": "images/ad555c6c0b8c4c67d341451bc4b77c35.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
FeZnInSnTeCoCuAs
Distribution co-efficient169$ 6.4 \\cdot 10^{-3} $$ 2.8 \\cdot 10^{-1} $$ 6.3 \\cdot 10^{-1} $$ 6.0 \\cdot 10^{-1} $$ 6.0 \\cdot 10^{-2} $$ 6.1 \\cdot 10^{-3} $$ 8.5 \\cdot 10^{-3} $
The same in thepresence of50 mg Fe/ml-$2.2 \\cdot 10^{-3}$$2.7 \\cdot 10^{-2}$$2.5\\cdot 10^{-1}$$8.6 \\cdot 10^{-2}$$3.0 \\cdot 10^{-2}$--
"} {"image_path": "images/6fa8624a8d3094a452a55db33d8d92db.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
课程名称大学语文标准简称大学语文
适用专业所有专业修读学期第一或第二学期制订时间2018年 8 月
课程代码110501课程学时32课程学分2 学分
课程类型A 类课程性质必修课课程类别公共基础课
先修课程
后续课程
对应职业资格证或内容
合作开发企业
执笔人涂莹霞合作者审核人
制 (修) 定日期2018 年 8 月 7 日
"} {"image_path": "images/3a669fedb4eaf688b22b37aa2dbacfc6.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
样品编号 标示量百分比
1101.16
2101.99
3102.30
496.85
"} {"image_path": "images/5757cc0bf0e1430956bad00f83422186.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1620:1819:171:162:153:144:135:126:117:108:9
179:2010:811:712:613:514:415:316:217:118:19
1820:191:182:173:164:155:146:137:128:119:10
1910:2011:912:813:714:615:516:417:318:219:1
"} {"image_path": "images/3a2c15a732943023de5ee4da046f8348.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
1801 年1831 年1846 年
巴 黎547 756巴 黎774 338巴 黎1 053 897
马 赛111 130马 赛145 115马 赛183 181
里 昂109 500里 昂133 715里 昂177 976
波尔多90 992波尔多99 062波尔多121 520
鲁 昂87 000鲁 昂88 086鲁 昂99 295
南 特73 879南 特77 992图鲁兹94 236
里 尔54 756里 尔67 073南 特94 194
图鲁兹50 171图鲁兹59 630里 尔75 430
斯特拉斯堡49 056斯特拉斯堡49 712斯特拉斯堡71 992
亚 眠40 289亚 眠45 001土 伦62 832
尼 姆38 800梅 兹44 416布雷斯特62 792
奥尔良36 165尼 姆41 226梅 兹55 112
蒙彼利埃33 913奥尔良40 161尼 姆53 497
昂 热33 000卡 昂39 140圣埃蒂安纳49 612
梅 兹32 099兰 斯35 971亚 眠49 591
卡 昂30 900蒙比利埃35 285奥尔良46 258
贝桑松30 000圣埃蒂安纳33 064蒙彼利埃45 794
南 锡29 740昂 热32 743昂 热44 781
布雷斯特27 000阿维尼翁29 889卡 昂44 047
雷 恩25 904布雷斯特29 860兰 斯44 015
凡尔赛25 000南 锡29 783南 锡42 765
克莱蒙24 478雷 恩29 680贝桑松39 949
特鲁瓦23 880贝桑松29 167雷 恩39 218
埃克斯23 686凡尔赛28 477利摩日38 119
格勒诺布尔23 500土 伦28 419阿维尼翁35 169
"} {"image_path": "images/05ec72a4a0467388a3376c79cad62336.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
mn012345
000.360000.640000.840000.960001.00000
100.346670.626670.826670.946670.98667
200.335560.613330.813330.933330.97333
$\\vdots$$\\ldots$$\\ldots\\ldots\\ldots\\ldots$$\\ldots\\ldots\\ldots\\ldots$$\\ldots\\ldots\\ldots\\ldots$$\\ldots\\ldots\\ldots\\ldots$$\\ldots\\ldots\\ldots\\ldots$
$\\vdots$$\\ldots$$\\ldots\\ldots\\ldots\\ldots$$\\ldots\\ldots\\ldots\\ldots$$\\ldots\\ldots\\ldots\\ldots$$\\ldots\\ldots\\ldots\\ldots$$\\ldots\\ldots\\ldots\\ldots$
3500.179480.341270.469510.551750.58005
3600.176530.335330.461840.542760.57061
"} {"image_path": "images/3f2e3358146f38f7fcfb8ff4eeae39ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
GDP 水平 ( 十亿 1990 年 PPP $)中国相当于下列国家水平的%
俄罗斯日本中国美国印度俄罗斯日本美国 印度
19901 1512 3212 1245 8031 0981859237199
19911 0932 3992 2645 7921 1122079439204
19929352 4222 4845 9851 16926610342212
19938542 4282 7246 1461 23831911244220
19947452 4552 9976 3961 32840212247226
19957152 5043 4506 5581 42648313853242
19966892 5903 521 6 8041 53751113652229
19976992 6363 7077 1101 61153014152230
19986622 6093 7177 4071 71656114250217
19997042 6053 9617 7361 82056315251 218
20007742 6674 3198 0191 900558162 54227
20018142 6734 7818 0792 00958717959238
20028522 6645 3748 2092 08063120265258
20039142 6996 1888 431 2 26767722973273
20151 3003 11612 27111 467 4 665944394107263
203020173 48822.98316 66210 0741 139659138228
"} {"image_path": "images/f2c478fe979a2487d6184c3f893cf9c9.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
12345678
条件功率大于50马力吗?YYYYNNNN
维修记录不全?YYNNYYNN
运行超过10年?YNYNYNYN
动作进行优先维修xxxxx
作其它处理xxx
"} {"image_path": "images/30772d1296a7ebdb3d241dc8f6af97ca.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Com-poundFormula$T_mp,$°C$\\frac{\\text { Found }}{\\text { calculated }}, \\%$Empirical formula
CHN
(I)$\\begin{array}{c}\\text{HNCH}_2\\text{CHClCCl}_3 \\\\\\quad\\big| \\\\\\text{ SO}_2\\text{C}_6\\text{H}_4\\text{Cl-}p\\end{array}$139$\\frac{29,05}{29,22}$$\\frac{2,09}{2,16}$$\\frac{3,70}{3,76}$$ \\mathrm{C}_{9} \\mathrm{H}_{8} \\mathrm{Cl}_{5} \\mathrm{NO}_{2} \\mathrm{~S} $
(II)${HNCH}_{2} \\mathrm{CCl}=\\mathrm{CCl}_{3}\\\\\\quad\\big|\\\\\\text{ SO}_{2} \\mathrm{C}_{6} \\mathrm{H}_{5}$110$ \\frac{31,79}{32,07} $2,88 2,67$\\frac{4,15}{4,16}$$ \\mathrm{C}_{9} \\mathrm{H}_{9} \\mathrm{Cl}_{4} \\mathrm{NO}_{2} \\mathrm{~S} $
(V)$\\begin{array}{c}HNCH_2CCl=CCl_2 \\\\\\quad\\big\\vert \\\\SO_2C_6H_4Cl\\text{-}p\\end{array}$99$\\frac{32,38}{32,42}$$\\frac{2,29}{2,02}$$\\frac{4,14}{4,17}$$ \\mathrm{C}_{9} \\mathrm{H}_{7} \\mathrm{Cl}_{4} \\mathrm{NO}_{2} \\mathrm{~S} $
(VI)${HNCH}_{2} \\mathrm{CCl}=\\mathrm{CCl}_{2}\\\\\\quad\\big|\\\\\\text{ SO}_{2} \\mathrm{C}_{6} \\mathrm{H}_{5}$73$\\frac{35,58}{35,96}$$\\frac{2,68}{2,71}$$\\frac{4,63}{4,66}$$ \\mathrm{C}_{9} \\mathrm{H}_{8} \\mathrm{Cl}_{3} \\mathrm{NO}_{2} \\mathrm{~S} $
"} {"image_path": "images/828077845a8afac57149ca5775881b5b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
O1124程序号
N0010H000=0给 H000 赋值为 0
N0020H001=110给 H001 赋值为 0.11
N0030G90 G92 X35. Y-60指定绝对坐标,预设当前位置
N0040T84 T86开启工作液,运丝
N0050C007指定空行程放电条件号
N0060G01 X35. Y-65直线插补加工到点(35,-65)
N0070C003指定加工条件
N0080G42 H000建立右补偿
N0090G01 G01 X40. Y-69.282直线插补到起点(40,-69.282)
N0100G42 H001对切割路径进行右补偿
N0110G02 X-31.026 Y-73.739 I-40. J69.282圆弧插补到点(-31.026,-73.739)
N0120G01 X-10.705 Y-38.541直线插补到点(-10.705,-38.541)
N0130G03 X38.73 Y-10. I10.705 J38.541圆弧插补到点(38.73,-10)
N0140G01 X40. Y-10直线插补到点(40,-10)
N0150G01 X44.691 Y-15.416直线插补到点(44.691,-15.416)
N0160G03 X47.512 Y-15.619 I1.512 J1.309圆弧插补到点(47.512,-15.619)
N0170G01 X54. Y-10直线插补到点(54,-10)
N0180G01 X58.691 Y-15.416直线插补到点(58.691,-15.416)
N0190G03 X61.512 Y-15.619 I1.512 J1.309圆弧插补到点(61.512,15.619)
N0200G01 X68. Y-10直线插补到点(68,-10)
N0210G01 X72.161 Y-14.804直线插补到点(72.161,-14.804)
N0220G03 X75.405 Y-14.495 I1.512 J1.309圆弧插补到点(75.405,-14.495)
N0230G01 X78. Y-10直线插补到点(78,-10)
N0240G01 X79.373 Y-10直线插补到点(79.373,-10)
N0250G02 X40. Y-69.282 I-79.373 J10圆弧插补到起点(40,-69.282)
N0260T85 T87关闭工作液,停止运丝
N0270M00暂停
N0280T84 T86开启工作液,运丝
N0290C007指定空行程放电条件号
N0300G40 H000 X35. Y-65取消补偿
N0310G01 X35. Y-60返回出发点
N0320T85 T87关闭工作液,停止走丝
N0330M02程序结束
"} {"image_path": "images/1ce2b8ff464ec2ce1bb0fc75284d4e3d.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Time (h)010002000300040005000600070008000900100011001200
Profile 1:0.21(58)0.75(208)1.33(369)1.96(545)2.50(694)2.75(764)2.75(764)2.50(694)1.96(545)1.33(369)0.75(208)0.21(58)
Incidenceangle82.5°67.552.537.522.57.57.522.537.552.567.582.5
Profile 2:0.06(16)0.55(153)1.22(339)1.90(528)2.47(686)2.73(758)2.73(758)2.47(686)1.90(528)1.22(339)0.55(153)0.06(16)
"} {"image_path": "images/d2f92cbf536ef641e0984b0c44de75a3.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
Comp$R_{3}$$R_{4}$$R_{5}$$R_{2^{.}}$$R_{4^{.}}$$\\tau$Heat ofFormationBondOrder
1HHHHH0104.770.963
27104.510.957
14HHHH$NO_{2}$0108.670.992
19108.600.987
18HMeMeH$NO_{2}$3893.680.976
27MeBrBrH$NO_{2}$53111.850.944
29tBuHtBuH$NO_{2}$9172.870.935
33PhHPhH$NO_{2}$33162.050.970
35HBrH$NO_{2}$$NO_{2}$34124.850.997
"} {"image_path": "images/81bd75e03a084dae433b0b3d68dd68e4.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
产品名称参数型号 双 曲 线 齿 轮
主 动从 动
BJ760z、m95.439415.439
外形尺寸φ 83 × 217.5φ 233 × 26.5
使用寿命 (件/把)粗切1200精切9000粗切1500精切9000~10000
BC620z、m85.186435.186
外形尺寸φ 73.5 × 217.5φ 220 × 30
使用寿命 (件/把)粗切1300精切9000粗切1450精切9000
BC122z、m84.919374.919
外形尺寸φ 65 × 201φ 182 × 30.5
使用寿命 (件/把)粗切1350精切9500粗切1600精切10000
BC213z、m84.217464.217
外形尺寸φ 85 × 208φ 193.5 × 32.5
使用寿命 (件/把)粗切1050精切8000粗切1400精切8500
BC130z、m67.15357.15
外形尺寸φ 73 × 235φ 249 × 34
使用寿命 (件/把)粗切1250精切9000粗切1600精切10000
"} {"image_path": "images/287ea87eafe0ededfb05c0b48223a15b.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
类型/溶剂/项目惰 性 气 体 汽 提蒸 汽 汽 提
N-甲基吡咯烷酮 N-甲基毗略烷解 糠 醛
蒸 汽572. 75586. 159. 21308. 98
131. 88131. 8811883. 63
燃 料1235. 91636. 2949. 981844. 9
能 耗79501178.11058. 82017. 6
"} {"image_path": "images/cd5935be94ab69124a246e34fc7b230f.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
通婚范围户 数比例 (%)
欸人一欸人49372.82
欸人一汉语土拐话人11717.28
欸人一汉语桂柳话人30.44
欸人一汉语客家话人00
欸人一汉语普通话人00
欸人一汉语白话(粤方言)人00
欸人—壮族(指不说五色话的壮族)20.30
欸人一侗族81.18
欸人一水族10.15
欸人一仫佬族81.18
欸人一苗族416.06
欸人一瑶族30.44
欸人一其他民族(贵州籍)10.15
"} {"image_path": "images/886e7abf2d658134c3496a9e16dfdbfe.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
9536
32185
17
29345
3112
452986
2813
498351
34962
"} {"image_path": "images/7744b7b59eb0033c0437eccbc858bb69.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
国 家总兵力陆 军海 军空 军
兵力坦 克装甲车兵力舰艇兵 力作战飞机
匈 牙 利105,00090,0003,42515,000108
爱 尔 兰12,06011,0006745046109
意 大 利421,000306,5004,60044,50017370,000372
卢 森 堡550550
荷 兰112,50075,0002,80018,5008019,000162
挪 威35,00018,0001708,000909,000131
波 兰293,000210,0004,10025,00011058,000785
葡 萄 牙217,000179,00024524519,50012218,500130
罗 马 尼 亚171,000141,0002,5709,0005621,000254
西 班 牙302,300220,0001,05046,6009335,700191
瑞 典18,1008,7007524,4002345,000600
瑞 士6,5003,5002,0703,000291
英 国345,100174,9001,08076,100168⑥94,100500
南 斯 拉 夫230,000190,0002,15020,00014020,000270
大洋洲:
澳 大 利 亚69,10031,30093893816,2004221,600151
新 西 兰12,6855,5258585 2,850204,31036
"} {"image_path": "images/9d30026c2db59e84c05f998f8c311132.jpg", "question": "You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.\nOutput only the results without any other words and explanation.", "ref_answer": "
实 验 班普 通 班
受 试 者结果的预测操作的预测相差受 试 者结果的预测操作的预测相差
$7. \\text{Б.} \\Phi$.1217. A. B.297
8. K. K.022$8.\\ \\text{Д. Т.}$ 2119
9. C. H. 1219. $\\text{Б.}$ A.3118
10. $\\text{Л.}$ B.154$10.\\ \\text{А. И.}$ 2108
11. K. $\\text{Л.}$24211. K. T.2108
12. $\\text{Л.}$ O.143$12.~\\ \\text{Л.}~~ {П.}$ 396
13. $\\text{Б.}$ C.143$13.\\ \\text{И. А.}$ 297
$14.\\ \\text{М. Ж.}$ 242$14.\\ \\text{П. К.}$ 2108
15. E. T.253$15.\\ \\text{С. И.}$ 3107
总计143824总计3411884
$\\bar{x} = 1.6$ $\\bar{x} = 5. 6$
"}