PeterStaar commited on
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c3ed31a
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Add new regression PDF

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Signed-off-by: Peter Staar <taa@zurich.ibm.com>

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  1. groundtruth/parser/024805ca-0473-491f-8e49-6444ecac3d4b-5.pdf.page_no_1.py.json.cells.delta.txt +2 -2
  2. groundtruth/parser/024805ca-0473-491f-8e49-6444ecac3d4b-5.pdf.page_no_1.py.json.gz +2 -2
  3. groundtruth/parser/024805ca-0473-491f-8e49-6444ecac3d4b-5.pdf.page_no_1.py.json.line.txt +3 -3
  4. groundtruth/parser/{1019870008820-3.pdf.page_no_1.py.json.word.delta.txt → 024805ca-0473-491f-8e49-6444ecac3d4b-5.pdf.page_no_1.py.json.word.delta.txt} +2 -2
  5. groundtruth/parser/024805ca-0473-491f-8e49-6444ecac3d4b-5.pdf.page_no_1.py.json.word.txt +6 -3
  6. groundtruth/parser/07f5395c8b3e7d1c_0001.pdf.page_no_1.py.json.cells.delta.txt +2 -2
  7. groundtruth/parser/07f5395c8b3e7d1c_0001.pdf.page_no_1.py.json.gz +2 -2
  8. groundtruth/parser/07f5395c8b3e7d1c_0001.pdf.page_no_1.py.json.line.txt +25 -25
  9. groundtruth/parser/07f5395c8b3e7d1c_0001.pdf.page_no_1.py.json.word.delta.txt +2 -2
  10. groundtruth/parser/07f5395c8b3e7d1c_0001.pdf.page_no_1.py.json.word.txt +41 -52
  11. groundtruth/parser/082b97f3d239a9c5_0006.pdf.page_no_1.py.json.cells.delta.txt +2 -2
  12. groundtruth/parser/082b97f3d239a9c5_0006.pdf.page_no_1.py.json.gz +2 -2
  13. groundtruth/parser/082b97f3d239a9c5_0006.pdf.page_no_1.py.json.line.txt +9 -9
  14. groundtruth/parser/082b97f3d239a9c5_0006.pdf.page_no_1.py.json.word.delta.txt +2 -2
  15. groundtruth/parser/082b97f3d239a9c5_0006.pdf.page_no_1.py.json.word.txt +27 -10
  16. groundtruth/parser/0b9f86cde166b9ab_0018.pdf.page_no_1.py.json.cells.delta.txt +2 -2
  17. groundtruth/parser/0b9f86cde166b9ab_0018.pdf.page_no_1.py.json.gz +2 -2
  18. groundtruth/parser/0b9f86cde166b9ab_0018.pdf.page_no_1.py.json.line.txt +1 -1
  19. groundtruth/parser/0b9f86cde166b9ab_0018.pdf.page_no_1.py.json.word.delta.txt +2 -2
  20. groundtruth/parser/0b9f86cde166b9ab_0018.pdf.page_no_1.py.json.word.txt +2 -1
  21. groundtruth/parser/{18964da9aca4905a_0004.pdf.page_no_1.py.json.word.delta.txt → 10003567098752154021-14.pdf.page_no_15.py.json.cells.delta.txt} +2 -2
  22. groundtruth/parser/10003567098752154021-14.pdf.page_no_15.py.json.gz +2 -2
  23. groundtruth/parser/10003567098752154021-14.pdf.page_no_15.py.json.line.txt +1 -1
  24. groundtruth/parser/{1019870008820-3.pdf.page_no_3.py.json.word.delta.txt → 10003567098752154021-14.pdf.page_no_15.py.json.word.delta.txt} +2 -2
  25. groundtruth/parser/10003567098752154021-14.pdf.page_no_15.py.json.word.txt +2 -1
  26. groundtruth/parser/10003567098752154021-14.pdf.page_no_18.py.json.cells.delta.txt +2 -2
  27. groundtruth/parser/10003567098752154021-14.pdf.page_no_18.py.json.gz +2 -2
  28. groundtruth/parser/10003567098752154021-14.pdf.page_no_18.py.json.line.txt +3 -3
  29. groundtruth/parser/{10572911635253446040-13.pdf.page_no_11.py.json.word.delta.txt → 10003567098752154021-14.pdf.page_no_18.py.json.word.delta.txt} +2 -2
  30. groundtruth/parser/10003567098752154021-14.pdf.page_no_18.py.json.word.txt +8 -3
  31. groundtruth/parser/10003567098752154021-14.pdf.page_no_5.py.json.cells.delta.txt +2 -2
  32. groundtruth/parser/10003567098752154021-14.pdf.page_no_5.py.json.gz +2 -2
  33. groundtruth/parser/10003567098752154021-14.pdf.page_no_5.py.json.line.txt +1 -1
  34. groundtruth/parser/{10572911635253446040-13.pdf.page_no_16.py.json.word.delta.txt → 10003567098752154021-14.pdf.page_no_5.py.json.word.delta.txt} +2 -2
  35. groundtruth/parser/10003567098752154021-14.pdf.page_no_5.py.json.word.txt +2 -1
  36. groundtruth/parser/10003567098752154021-14.pdf.page_no_6.py.json.cells.delta.txt +2 -2
  37. groundtruth/parser/10003567098752154021-14.pdf.page_no_6.py.json.gz +2 -2
  38. groundtruth/parser/10003567098752154021-14.pdf.page_no_6.py.json.line.txt +2 -2
  39. groundtruth/parser/10003567098752154021-14.pdf.page_no_6.py.json.word.delta.txt +3 -0
  40. groundtruth/parser/10003567098752154021-14.pdf.page_no_6.py.json.word.txt +6 -2
  41. groundtruth/parser/10003567098752154021-14.pdf.page_no_7.py.json.cells.delta.txt +2 -2
  42. groundtruth/parser/10003567098752154021-14.pdf.page_no_7.py.json.gz +2 -2
  43. groundtruth/parser/10003567098752154021-14.pdf.page_no_7.py.json.line.txt +1 -1
  44. groundtruth/parser/10003567098752154021-14.pdf.page_no_7.py.json.word.delta.txt +3 -0
  45. groundtruth/parser/10003567098752154021-14.pdf.page_no_7.py.json.word.txt +2 -1
  46. groundtruth/parser/10040284511886890357_002.pdf.page_no_1.py.json.cells.delta.txt +2 -2
  47. groundtruth/parser/10040284511886890357_002.pdf.page_no_1.py.json.gz +2 -2
  48. groundtruth/parser/10040284511886890357_002.pdf.page_no_1.py.json.line.txt +1 -1
  49. groundtruth/parser/10040284511886890357_002.pdf.page_no_1.py.json.word.delta.txt +3 -0
  50. groundtruth/parser/10040284511886890357_002.pdf.page_no_1.py.json.word.txt +2 -1
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- (082.31, 300.44) (238.31, 300.44) (238.31, 309.76) (082.31, 309.76) /R40 4. 消費者物価指数とリファ ナンスレート <|special_separator|>
19
- (164.39, 301.48) (238.07, 301.48) (238.07, 309.04) (164.39, 309.04) /R41 リファ ナンスレート <|special_separator|>
20
- (164.63, 301.48) (238.31, 301.48) (238.31, 309.04) (164.63, 309.04) /R41 リファ ナンスレート <|special_separator|>
21
- (164.39, 300.44) (253.61, 300.44) (253.61, 309.28) (164.39, 309.28) /R41 リファ ナンスレート(%) <|special_separator|>
22
- (286.43, 300.20) (416.87, 300.20) (416.87, 309.88) (286.43, 309.88) /R40 5. 消費者物価指数とマネーサプラ <|special_separator|>
23
- (368.03, 301.24) (416.63, 301.24) (416.63, 309.64) (368.03, 309.64) /R41 マネーサプラ <|special_separator|>
24
- (368.27, 301.24) (416.87, 301.24) (416.87, 309.64) (368.27, 309.64) /R41 マネーサプラ <|special_separator|>
25
- (368.03, 300.20) (454.97, 300.20) (454.97, 309.88) (368.03, 309.88) /R41 マネーサプラ 推移(%) <|special_separator|>
26
  (490.55, 305.84) (546.59, 305.84) (546.59, 315.16) (490.55, 315.16) /R40 6. 小売売上高 <|special_separator|>
27
  (511.43, 306.88) (537.23, 306.88) (537.23, 314.92) (511.43, 314.92) /R41 売売上 <|special_separator|>
28
  (502.67, 306.88) (537.47, 306.88) (537.47, 314.92) (502.67, 314.92) /R41 小売売上 <|special_separator|>
29
  (511.43, 305.84) (588.95, 305.84) (588.95, 315.16) (511.43, 315.16) /R41 売売上高/ 実質賃金 <|special_separator|>
30
  (580.43, 305.84) (632.21, 305.84) (632.21, 315.16) (580.43, 315.16) /R41 金/失業率(%) <|special_separator|>
31
  (264.47, 182.48) (282.63, 182.48) (282.63, 190.86) (264.47, 190.86) /R96 備考: <|special_separator|>
32
- (263.87, 172.85) (724.92, 172.85) (724.92, 181.14) (263.87, 181.14) /R11 (1). 2 12年第1四半期GDP+5.6%。GDPへの寄与度は、家計消費+5.2%。政府支出は+1.9%。固定資本形成は+ .5%。純輸出は+ .8%。 <|special_separator|>
33
- (263.87, 163.25) (752.77, 163.25) (752.77, 171.78) (263.87, 171.78) /R11 (2). 2 12年 期GDP成長率5.6%。産業別成長率は、サービス+8.9%、農業▲6.3%、工業+1.7%、建設+ .5%。GDP構成比は、サービス51.6%(前 <|special_separator|>
34
- (264.71, 153.65) (756.37, 153.65) (756.37, 162.18) (264.71, 162.18) /R99 同比+3.2%)、工業33.3%(同▲2.9%)、建設5.5%(同+ .4%)、農業2.4(同+ .3%)で、GDP貢献度は、サービス+4.6%、工業+ .6%。統計局によ <|special_separator|>
35
  (264.35, 144.05) (380.28, 144.05) (380.28, 152.22) (264.35, 152.22) /R99 ると、1-8月GDP成長率は+5.6%。 <|special_separator|>
36
- (263.87, 133.17) (758.89, 133.17) (758.89, 141.90) (263.87, 141.90) /R11 (3).工業生産は8月対前年同月比▲3.7%(1-8月+ .7%)、採掘業▲5.1%(同+ %)、製造業▲3.6%(同+1.4%)、公共サービス+5%(同+5.4%)、固定資 <|special_separator|>
37
  (264.23, 123.65) (433.08, 123.65) (433.08, 131.94) (264.23, 131.94) /R99 本投資は、8月対前年同月比+5.4%(1-8月+3.1%)。 <|special_separator|>
38
- (263.87, 114.05) (752.05, 114.05) (752.05, 122.58) (263.87, 122.58) /R11 (4-5). 消費者物価は8月対前月比+ .3% (前年同月比+4.7%)。マルチェンコカザフ中央銀行総裁は、リファイナンスレートは年末まで5.5%のレベ <|special_separator|>
39
  (264.35, 104.37) (622.44, 104.37) (622.44, 112.98) (264.35, 112.98) /R99 ルで継続見込みとコメント。マネーサプライは 、7月対前月比+1.7%(対前年同月比+8.6%)の708億米ドル。 <|special_separator|>
40
- (266.27, 094.73) (735.85, 094.73) (735.85, 103.14) (266.27, 103.14) /R11 (6). 小売売 高は、8月対前年同月比+14.2%(1-8月+12.8%)。失業率は先月と変わらず5.2%となった。実質平均賃金は、7月対前年同月比 <|special_separator|>
41
  (263.87, 085.13) (335.16, 085.13) (335.16, 093.30) (263.87, 093.30) /R11 +9.5%(名目+14.7%)。 <|special_separator|>
42
- (263.87, 074.57) (737.27, 074.57) (737.27, 083.56) (263.87, 083.56) /R11 (7). 中古住宅価格は、8月対前月比+1.2% (対前年末比+7.7%)、カザフ全体で123.4千テンゲ/m²となった。アスタナは+6.4%(対前年末比 <|special_separator|>
43
- (263.87, 063.57) (623.88, 063.57) (623.88, 072.76) (263.87, 072.76) /R11 +9.4%)、195.3千テンゲ/m²となり、アルマティは前月と変わらず2 4.2千テンゲ/m²(対前年末比+2%)。 <|special_separator|>
44
  (284.99, 377.21) (290.96, 377.21) (290.96, 382.96) (284.99, 382.96) /R166 -5 <|special_separator|>
45
  (287.63, 395.21) (290.96, 395.21) (290.96, 400.96) (287.63, 400.96) /R166 0 <|special_separator|>
46
  (287.63, 412.37) (290.96, 412.37) (290.96, 418.12) (287.63, 418.12) /R166 5 <|special_separator|>
@@ -93,7 +93,7 @@
93
  (633.94, 357.88) (633.94, 380.03) (627.64, 380.03) (627.64, 357.88) /R166 May-12 <|special_separator|>
94
  (648.34, 357.88) (648.34, 378.83) (642.04, 378.83) (642.04, 357.88) /R166 Aug-12 <|special_separator|>
95
  (483.48, 340.95) (641.01, 340.95) (641.01, 347.77) (483.48, 347.77) /R271 工業 採掘業 製造業 固定資本投資 <|special_separator|>
96
- (093.71, 175.40) (196.73, 175.40) (196.73, 184.96) (093.71, 184.96) /R40 7. 中古住宅価格(KZT/㎡) <|special_separator|>
97
  (091.79, 371.48) (100.32, 371.48) (100.32, 377.10) (091.79, 377.10) /R166 -10 <|special_separator|>
98
  (094.91, 384.20) (100.32, 384.20) (100.32, 389.82) (094.91, 389.82) /R166 -5 <|special_separator|>
99
  (097.07, 397.04) (100.32, 397.04) (100.32, 402.66) (097.07, 402.66) /R166 0 <|special_separator|>
@@ -151,13 +151,13 @@
151
  (660.11, 291.54) (663.74, 291.54) (663.74, 297.79) (660.11, 297.79) /R166 8 <|special_separator|>
152
  (657.59, 302.80) (663.25, 302.80) (663.25, 308.46) (657.59, 308.46) /R310 % <|special_separator|>
153
  (499.19, 190.26) (658.80, 190.26) (658.80, 197.48) (499.19, 197.48) /R312 小売売上高 実質平均賃金 失業率(右軸) <|special_separator|>
154
- (686.15, 444.09) (724.67, 444.09) (724.67, 452.80) (686.15, 452.80) /R11 1 月2-3日 <|special_separator|>
155
  (686.63, 428.44) (757.55, 428.44) (757.55, 436.60) (686.63, 436.60) /R169 アスタナにて第7回 <|special_separator|>
156
  (686.15, 417.21) (757.55, 417.21) (757.55, 425.71) (686.15, 425.71) /R11 KazEnergyフォーラ <|special_separator|>
157
  (686.63, 406.96) (712.31, 406.96) (712.31, 415.00) (686.63, 415.00) /R169 ム開催 <|special_separator|>
158
- (686.15, 374.13) (724.67, 374.13) (724.67, 382.84) (686.15, 382.84) /R11 1 月4-5日 <|special_separator|>
159
  (686.63, 358.72) (741.35, 358.72) (741.35, 366.04) (686.63, 366.04) /R169 アルマティにて <|special_separator|>
160
- (686.15, 347.37) (756.11, 347.37) (756.11, 356.80) (686.15, 356.80) /R11 KIOGEオ ル・ガス <|special_separator|>
161
  (686.63, 337.12) (742.79, 337.12) (742.79, 345.16) (686.63, 345.16) /R169 フォーラム開催 <|special_separator|>
162
  (688.91, 471.04) (752.96, 471.04) (752.96, 484.65) (688.91, 484.65) /R40 Upcoming <|special_separator|>
163
  (296.51, 231.16) (299.27, 231.16) (299.27, 235.84) (296.51, 235.84) /R354 0 <|special_separator|>
@@ -266,9 +266,9 @@
266
  (225.07, 201.52) (225.07, 218.69) (219.46, 218.69) (219.46, 201.52) /R166 Jun-12 <|special_separator|>
267
  (249.19, 200.08) (249.19, 217.97) (243.58, 217.97) (243.58, 200.08) /R166 Aug-12 <|special_separator|>
268
  (173.87, 286.13) (198.65, 286.13) (198.65, 292.44) (173.87, 292.44) /R166 Inf lation <|special_separator|>
269
- (218.39, 272.21) (249.17, 272.21) (249.17, 278.52) (218.39, 278.52) /R166 Ref. Rate <|special_separator|>
270
- (099.95, 279.53) (146.09, 279.53) (146.09, 285.84) (099.95, 285.84) /R166 Inflation ceiling <|special_separator|>
271
- (106.55, 246.65) (147.50, 246.65) (147.50, 252.96) (106.55, 252.96) /R166 Inflation floor <|special_separator|>
272
  (110.39, 098.61) (113.95, 098.61) (113.95, 104.74) (110.39, 104.74) /R166 0 <|special_separator|>
273
  (094.67, 107.25) (113.95, 107.25) (113.95, 113.38) (094.67, 113.38) /R166 50,000 <|special_separator|>
274
  (091.19, 115.41) (113.95, 115.41) (113.95, 121.54) (091.19, 121.54) /R166 100,000 <|special_separator|>
 
1
+ (219.71, 035.81) (629.39, 035.81) (629.39, 043.41) (219.71, 043.41) /R11 Almaty Representative Office, Nurly Tau 2V/5F, Al-Farabi Ave, 13 Almaty, 050059, Kazakhstan, +7.727.311-10-55 <|special_separator|>
2
  (077.99, 517.07) (409.79, 517.07) (409.79, 551.09) (077.99, 551.09) /R11 Central Asia Monthly <|special_separator|>
3
  (083.87, 502.94) (364.19, 502.94) (364.19, 506.31) (083.87, 506.31) /R13 マクロ経済、金融市場、銀行セクターの現状 <|special_separator|>
4
  (685.79, 539.81) (759.55, 539.81) (759.55, 551.33) (685.79, 551.33) /R15 2012年9月| 1 <|special_separator|>
 
6
  (299.03, 051.75) (519.30, 051.75) (519.30, 059.06) (299.03, 059.06) /R20 (出所): カザフスタン統計庁、カザフスタン中央銀行、Moody's, S&P, Fitch <|special_separator|>
7
  (082.31, 458.84) (140.15, 458.84) (140.15, 468.16) (082.31, 468.16) /R40 1. GDP 成長率 <|special_separator|>
8
  (131.75, 459.88) (139.91, 459.88) (139.91, 467.92) (131.75, 467.92) /R41 率 <|special_separator|>
9
+ (113.99, 458.84) (234.65, 458.84) (234.65, 468.16) (113.99, 468.16) /R41 成 と需要項目別寄与度 (%) <|special_separator|>
10
  (289.79, 458.84) (398.75, 458.84) (398.75, 468.16) (289.79, 468.16) /R40 2. GDP成長率産業別寄与度 <|special_separator|>
11
  (336.47, 459.88) (389.51, 459.88) (389.51, 467.92) (336.47, 467.92) /R41 率 業別 与 <|special_separator|>
12
  (318.71, 459.88) (326.99, 459.88) (326.99, 467.92) (318.71, 467.92) /R41 成 <|special_separator|>
 
15
  (501.95, 459.88) (536.87, 459.88) (536.87, 468.04) (501.95, 468.04) /R41 工業生産 <|special_separator|>
16
  (502.19, 459.88) (537.11, 459.88) (537.11, 468.04) (502.19, 468.04) /R41 工業 産 <|special_separator|>
17
  (501.95, 458.96) (607.49, 458.96) (607.49, 468.40) (501.95, 468.40) /R41 工業生産/固定資本投資(%) <|special_separator|>
18
+ (082.31, 300.44) (238.31, 300.44) (238.31, 309.76) (082.31, 309.76) /R40 4. 消費者物価指数とリファイナンスレート <|special_separator|>
19
+ (164.39, 301.48) (238.07, 301.48) (238.07, 309.16) (164.39, 309.16) /R41 リファイナンスレート <|special_separator|>
20
+ (164.63, 301.48) (238.31, 301.48) (238.31, 309.16) (164.63, 309.16) /R41 リファイナンスレート <|special_separator|>
21
+ (164.39, 300.44) (253.61, 300.44) (253.61, 309.40) (164.39, 309.40) /R41 リファイナンスレート (%) <|special_separator|>
22
+ (286.43, 300.20) (424.31, 300.20) (424.31, 309.88) (286.43, 309.88) /R40 5. 消費者物価指数とマネーサプライ <|special_separator|>
23
+ (368.03, 301.24) (424.07, 301.24) (424.07, 309.64) (368.03, 309.64) /R41 マネーサプライ <|special_separator|>
24
+ (368.27, 301.24) (424.31, 301.24) (424.31, 309.64) (368.27, 309.64) /R41 マネーサプライ <|special_separator|>
25
+ (368.03, 300.20) (454.97, 300.20) (454.97, 309.88) (368.03, 309.88) /R41 マネーサプライ推移(%) <|special_separator|>
26
  (490.55, 305.84) (546.59, 305.84) (546.59, 315.16) (490.55, 315.16) /R40 6. 小売売上高 <|special_separator|>
27
  (511.43, 306.88) (537.23, 306.88) (537.23, 314.92) (511.43, 314.92) /R41 売売上 <|special_separator|>
28
  (502.67, 306.88) (537.47, 306.88) (537.47, 314.92) (502.67, 314.92) /R41 小売売上 <|special_separator|>
29
  (511.43, 305.84) (588.95, 305.84) (588.95, 315.16) (511.43, 315.16) /R41 売売上高/ 実質賃金 <|special_separator|>
30
  (580.43, 305.84) (632.21, 305.84) (632.21, 315.16) (580.43, 315.16) /R41 金/失業率(%) <|special_separator|>
31
  (264.47, 182.48) (282.63, 182.48) (282.63, 190.86) (264.47, 190.86) /R96 備考: <|special_separator|>
32
+ (263.87, 172.85) (724.92, 172.85) (724.92, 181.14) (263.87, 181.14) /R11 (1). 2012年第1四半期GDP+5.6%。GDPへの寄与度は、家計消費+5.2%。政府支出は+1.9%。固定資本形成は+0.5%。純輸出は+0.8%。 <|special_separator|>
33
+ (263.87, 163.25) (752.77, 163.25) (752.77, 171.78) (263.87, 171.78) /R11 (2). 2012年上期GDP成長率5.6%。産業別成長率は、サービス+8.9%、農業▲6.3%、工業 +1.7%、建設+0.5%。GDP構成比は、サービス51.6%(前 <|special_separator|>
34
+ (264.71, 153.65) (756.37, 153.65) (756.37, 162.18) (264.71, 162.18) /R99 同比+3.2%)、工業33.3%(同▲2.9%)、建設5.5%(同+0.4%)、農業2.4(同+0.3%)で、GDP貢献度は、サービス+4.6%、工業+0.6%。統計局によ <|special_separator|>
35
  (264.35, 144.05) (380.28, 144.05) (380.28, 152.22) (264.35, 152.22) /R99 ると、1-8月GDP成長率は+5.6%。 <|special_separator|>
36
+ (263.87, 133.17) (758.89, 133.17) (758.89, 141.90) (263.87, 141.90) /R11 (3). 工業生産は8月対前年同月比▲3.7%(1-8月+0.7%)、採掘業▲5.1%(同+0%)、製造業▲3.6%(同+1.4%)、公共サービス+5%(同+5.4%)、固定資 <|special_separator|>
37
  (264.23, 123.65) (433.08, 123.65) (433.08, 131.94) (264.23, 131.94) /R99 本投資は、8月対前年同月比+5.4%(1-8月+3.1%)。 <|special_separator|>
38
+ (263.87, 114.05) (752.05, 114.05) (752.05, 122.58) (263.87, 122.58) /R11 (4-5). 消費者物価は8月対前月比+0.3% (前年同月比+4.7%)。 マルチェンコカザフ中央銀行総裁は、リファイナンスレートは年末まで5.5%のレベ <|special_separator|>
39
  (264.35, 104.37) (622.44, 104.37) (622.44, 112.98) (264.35, 112.98) /R99 ルで継続見込みとコメント。マネーサプライは 、7月対前月比+1.7%(対前年同月比+8.6%)の708億米ドル。 <|special_separator|>
40
+ (266.27, 094.73) (735.85, 094.73) (735.85, 103.14) (266.27, 103.14) /R11 (6). 小売売上高は、8月対前年同月比+14.2%(1-8月+12.8%)。失業率は先月と変わらず5.2%となった。実質平均賃金は、7月対前年同月比 <|special_separator|>
41
  (263.87, 085.13) (335.16, 085.13) (335.16, 093.30) (263.87, 093.30) /R11 +9.5%(名目+14.7%)。 <|special_separator|>
42
+ (263.87, 074.57) (737.27, 074.57) (737.27, 083.56) (263.87, 083.56) /R11 (7). 中古住宅価格は、8月対前月比+1.2% (対前年末比+7.7%)、カザフ全体で123.4千テンゲ/m²となった。アスタナは+6.4% (対前年末比 <|special_separator|>
43
+ (263.87, 063.57) (623.88, 063.57) (623.88, 072.76) (263.87, 072.76) /R11 +9.4%)、195.3千テンゲ/m²となり、アルマティは前月と変わらず204.2千テンゲ/m² (対前年末比+2%) 。 <|special_separator|>
44
  (284.99, 377.21) (290.96, 377.21) (290.96, 382.96) (284.99, 382.96) /R166 -5 <|special_separator|>
45
  (287.63, 395.21) (290.96, 395.21) (290.96, 400.96) (287.63, 400.96) /R166 0 <|special_separator|>
46
  (287.63, 412.37) (290.96, 412.37) (290.96, 418.12) (287.63, 418.12) /R166 5 <|special_separator|>
 
93
  (633.94, 357.88) (633.94, 380.03) (627.64, 380.03) (627.64, 357.88) /R166 May-12 <|special_separator|>
94
  (648.34, 357.88) (648.34, 378.83) (642.04, 378.83) (642.04, 357.88) /R166 Aug-12 <|special_separator|>
95
  (483.48, 340.95) (641.01, 340.95) (641.01, 347.77) (483.48, 347.77) /R271 工業 採掘業 製造業 固定資本投資 <|special_separator|>
96
+ (093.71, 175.40) (196.73, 175.40) (196.73, 184.96) (093.71, 184.96) /R40 7. 中古住宅価格 (KZT/㎡) <|special_separator|>
97
  (091.79, 371.48) (100.32, 371.48) (100.32, 377.10) (091.79, 377.10) /R166 -10 <|special_separator|>
98
  (094.91, 384.20) (100.32, 384.20) (100.32, 389.82) (094.91, 389.82) /R166 -5 <|special_separator|>
99
  (097.07, 397.04) (100.32, 397.04) (100.32, 402.66) (097.07, 402.66) /R166 0 <|special_separator|>
 
151
  (660.11, 291.54) (663.74, 291.54) (663.74, 297.79) (660.11, 297.79) /R166 8 <|special_separator|>
152
  (657.59, 302.80) (663.25, 302.80) (663.25, 308.46) (657.59, 308.46) /R310 % <|special_separator|>
153
  (499.19, 190.26) (658.80, 190.26) (658.80, 197.48) (499.19, 197.48) /R312 小売売上高 実質平均賃金 失業率(右軸) <|special_separator|>
154
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59
- (191.11, 549.76) (388.94, 549.76) (388.94, 567.40) (191.11, 567.40) /F2 じかん ):2022年 ねん 12月 がつ 23日 にち (金 きん )10:00 <|special_separator|>
60
  (056.66, 513.73) (116.45, 513.73) (116.45, 525.73) (056.66, 525.73) /F3 11 「技能 <|special_separator|>
61
  (093.41, 513.73) (140.45, 513.73) (140.45, 531.37) (093.41, 531.37) /F2 ぎ の う 試験 <|special_separator|>
62
  (117.41, 513.73) (200.71, 513.73) (200.71, 531.37) (117.41, 531.37) /F2 し け ん に係 かか る合格 <|special_separator|>
@@ -110,7 +110,7 @@
110
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111
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112
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113
- (263.14, 362.23) (346.44, 362.23) (346.44, 376.93) (263.14, 376.93) /F2 ばあい があります。 <|special_separator|>
114
  (077.78, 344.21) (109.25, 344.21) (109.25, 354.77) (077.78, 354.77) /F2 ②受験 <|special_separator|>
115
  (088.13, 344.21) (130.37, 344.21) (130.37, 358.91) (088.13, 358.91) /F2 じゅけん 申請 <|special_separator|>
116
  (109.25, 344.21) (182.95, 344.21) (182.95, 358.91) (109.25, 358.91) /F2 しんせい により取得 <|special_separator|>
@@ -127,7 +127,7 @@
127
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128
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129
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130
- (225.94, 326.21) (309.46, 326.21) (309.46, 340.91) (225.94, 340.91) /F2 ばあい があります。 <|special_separator|>
131
  (077.78, 308.21) (115.97, 308.21) (115.97, 318.77) (077.78, 318.77) /F2 ③収 集 <|special_separator|>
132
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133
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@@ -142,7 +142,7 @@
142
  (476.11, 308.21) (538.78, 308.21) (538.78, 322.91) (476.11, 322.91) /F2 てきせい かつ安全 <|special_separator|>
143
  (517.66, 317.87) (538.54, 317.87) (538.54, 322.91) (517.66, 322.91) /F2 あんぜん <|special_separator|>
144
  (088.13, 290.21) (119.81, 290.21) (119.81, 300.77) (088.13, 300.77) /F2 に管理 <|special_separator|>
145
- (099.65, 290.21) (172.37, 290.21) (172.37, 304.91) (099.65, 304.91) /F2 かんり いたます。 <|special_separator|>
146
  (078.26, 272.18) (110.21, 272.18) (110.21, 282.74) (078.26, 282.74) /F2 ④日本 <|special_separator|>
147
  (090.05, 272.18) (153.17, 272.18) (153.17, 286.91) (090.05, 286.91) /F2 に ほ ん 又 また は受験 <|special_separator|>
148
  (132.05, 272.18) (184.87, 272.18) (184.87, 286.91) (132.05, 286.91) /F2 じゅけん 申請者 <|special_separator|>
@@ -160,17 +160,17 @@
160
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161
  (135.17, 254.18) (218.47, 254.18) (218.47, 268.88) (135.17, 268.88) /F2 き か ん に対 たい して開示 <|special_separator|>
162
  (198.31, 254.18) (260.74, 254.18) (260.74, 268.88) (198.31, 268.88) /F2 か い じ する場合 <|special_separator|>
163
- (240.58, 254.18) (323.86, 254.18) (323.86, 268.88) (240.58, 268.88) /F2 ばあい があります。 <|special_separator|>
164
  (056.66, 207.66) (109.46, 207.66) (109.46, 219.66) (056.66, 219.66) /F3 13 学習 <|special_separator|>
165
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166
- (125.81, 207.66) (533.87, 207.66) (533.87, 225.30) (125.81, 225.30) /F2 てき すと ---------------------------------------------------------- <|special_separator|>
167
  (077.54, 182.16) (098.66, 182.16) (098.66, 192.72) (077.54, 192.72) /F2 下記 <|special_separator|>
168
  (080.18, 182.16) (151.49, 182.16) (151.49, 196.88) (080.18, 196.88) /F2 か き のテキスト <|special_separator|>
169
  (111.89, 182.16) (227.83, 182.16) (227.83, 196.88) (111.89, 196.88) /F2 て き す と とDVDで学習 <|special_separator|>
170
  (203.83, 182.16) (302.50, 182.16) (302.50, 196.88) (203.83, 196.88) /F2 がくしゅう してください。 <|special_separator|>
171
  (067.22, 164.16) (098.66, 164.16) (098.66, 174.72) (067.22, 174.72) /F2 <判断 <|special_separator|>
172
  (077.54, 164.16) (119.81, 164.16) (119.81, 178.86) (077.54, 178.86) /F2 はんだん 試験 <|special_separator|>
173
- (099.65, 164.16) (130.37, 164.16) (130.37, 178.86) (099.65, 178.86) /F2 しけん > <|special_separator|>
174
  (077.78, 146.16) (127.49, 146.16) (127.49, 156.72) (077.78, 156.72) /F2 ① 『目指 <|special_separator|>
175
  (109.01, 146.16) (253.54, 146.16) (253.54, 160.86) (109.01, 160.86) /F2 め ざ せ!ビルクリーニング特定 <|special_separator|>
176
  (232.42, 146.16) (274.66, 146.16) (274.66, 160.86) (232.42, 160.86) /F2 とくてい 技能 <|special_separator|>
 
28
  (132.77, 686.30) (224.95, 686.30) (224.95, 701.00) (132.77, 701.00) /F2 し じ に従 した わない場合 <|special_separator|>
29
  (204.79, 686.30) (266.98, 686.30) (266.98, 701.00) (204.79, 701.00) /F2 ば あ い は、試験 <|special_separator|>
30
  (246.82, 686.30) (361.82, 686.30) (361.82, 701.00) (246.82, 701.00) /F2 し け ん を受 う けることを禁止 <|special_separator|>
31
+ (341.66, 686.30) (466.96, 686.30) (466.96, 701.00) (341.66, 701.00) /F2 き ん し することがあります。 <|special_separator|>
32
  (056.66, 639.78) (104.90, 639.78) (104.90, 651.78) (056.66, 651.78) /F3 10 合格 <|special_separator|>
33
  (080.90, 639.78) (133.49, 639.78) (133.49, 657.42) (080.90, 657.42) /F2 ごうかく 発 表 <|special_separator|>
34
  (104.93, 639.78) (533.46, 639.78) (533.46, 657.42) (104.93, 657.42) /F2 はっぴょう 日 び -------------------------------------------------------------- <|special_separator|>
 
51
  (077.78, 578.28) (130.37, 578.28) (130.37, 588.84) (077.78, 588.84) /F2 なお、電話 <|special_separator|>
52
  (110.21, 578.28) (182.95, 578.28) (182.95, 592.98) (110.21, 592.98) /F2 で ん わ による合否 <|special_separator|>
53
  (162.79, 578.28) (204.07, 578.28) (204.07, 592.98) (162.79, 592.98) /F2 ご う ひ 結果 <|special_separator|>
54
+ (183.91, 578.28) (393.48, 578.28) (393.48, 592.98) (183.91, 592.98) /F2 け っ か のお問 と い合 あ わせには、応 おう じられません。 <|special_separator|>
55
  (088.13, 549.76) (112.13, 549.76) (112.13, 561.76) (088.13, 561.76) /F2 合格 <|special_separator|>
56
  (088.13, 549.76) (140.45, 549.76) (140.45, 567.40) (088.13, 567.40) /F2 ごうかく 発 表 <|special_separator|>
57
  (112.13, 549.76) (190.15, 549.76) (190.15, 567.40) (112.13, 567.40) /F2 はっぴょう 日 び (日本 <|special_separator|>
58
  (167.11, 549.76) (214.15, 549.76) (214.15, 567.40) (167.11, 567.40) /F2 に ほ ん 時間 <|special_separator|>
59
+ (191.11, 549.76) (388.94, 549.76) (388.94, 567.40) (191.11, 567.40) /F2 じ かん ):2022年 ねん 12月 がつ 23日 にち (金 きん )10:00 <|special_separator|>
60
  (056.66, 513.73) (116.45, 513.73) (116.45, 525.73) (056.66, 525.73) /F3 11 「技能 <|special_separator|>
61
  (093.41, 513.73) (140.45, 513.73) (140.45, 531.37) (093.41, 531.37) /F2 ぎ の う 試験 <|special_separator|>
62
  (117.41, 513.73) (200.71, 513.73) (200.71, 531.37) (117.41, 531.37) /F2 し け ん に係 かか る合格 <|special_separator|>
 
110
  (149.11, 362.23) (205.75, 362.23) (205.75, 376.93) (149.11, 376.93) /F2 ざいりゅう 管理庁 <|special_separator|>
111
  (174.07, 362.23) (240.10, 362.23) (240.10, 376.93) (174.07, 376.93) /F2 かんりちょう に提 供 <|special_separator|>
112
  (216.10, 362.23) (283.30, 362.23) (283.30, 376.93) (216.10, 376.93) /F2 ていきょう する場合 <|special_separator|>
113
+ (263.14, 362.23) (346.44, 362.23) (346.44, 376.93) (263.14, 376.93) /F2 ば あ い があります。 <|special_separator|>
114
  (077.78, 344.21) (109.25, 344.21) (109.25, 354.77) (077.78, 354.77) /F2 ②受験 <|special_separator|>
115
  (088.13, 344.21) (130.37, 344.21) (130.37, 358.91) (088.13, 358.91) /F2 じゅけん 申請 <|special_separator|>
116
  (109.25, 344.21) (182.95, 344.21) (182.95, 358.91) (109.25, 358.91) /F2 しんせい により取得 <|special_separator|>
 
127
  (088.13, 326.21) (140.93, 326.21) (140.93, 340.91) (088.13, 340.91) /F2 しりょう の作成 <|special_separator|>
128
  (119.81, 326.21) (204.07, 326.21) (204.07, 340.91) (119.81, 340.91) /F2 さくせい のために利用 <|special_separator|>
129
  (183.91, 326.21) (246.10, 326.21) (246.10, 340.91) (183.91, 340.91) /F2 り よ う する場合 <|special_separator|>
130
+ (225.94, 326.21) (309.46, 326.21) (309.46, 340.91) (225.94, 340.91) /F2 ば あ い があります。 <|special_separator|>
131
  (077.78, 308.21) (115.97, 308.21) (115.97, 318.77) (077.78, 318.77) /F2 ③収 集 <|special_separator|>
132
  (088.13, 308.21) (160.37, 308.21) (160.37, 322.91) (088.13, 322.91) /F2 しゅうしゅう した個人 <|special_separator|>
133
  (140.21, 308.21) (184.39, 308.21) (184.39, 322.91) (140.21, 322.91) /F2 こ じ ん 情報 <|special_separator|>
 
142
  (476.11, 308.21) (538.78, 308.21) (538.78, 322.91) (476.11, 322.91) /F2 てきせい かつ安全 <|special_separator|>
143
  (517.66, 317.87) (538.54, 317.87) (538.54, 322.91) (517.66, 322.91) /F2 あんぜん <|special_separator|>
144
  (088.13, 290.21) (119.81, 290.21) (119.81, 300.77) (088.13, 300.77) /F2 に管理 <|special_separator|>
145
+ (099.65, 290.21) (172.37, 290.21) (172.37, 304.91) (099.65, 304.91) /F2 か ん り いたます。 <|special_separator|>
146
  (078.26, 272.18) (110.21, 272.18) (110.21, 282.74) (078.26, 282.74) /F2 ④日本 <|special_separator|>
147
  (090.05, 272.18) (153.17, 272.18) (153.17, 286.91) (090.05, 286.91) /F2 に ほ ん 又 また は受験 <|special_separator|>
148
  (132.05, 272.18) (184.87, 272.18) (184.87, 286.91) (132.05, 286.91) /F2 じゅけん 申請者 <|special_separator|>
 
160
  (109.25, 254.18) (155.33, 254.18) (155.33, 268.88) (109.25, 268.88) /F2 ぎょうせい 機関 <|special_separator|>
161
  (135.17, 254.18) (218.47, 254.18) (218.47, 268.88) (135.17, 268.88) /F2 き か ん に対 たい して開示 <|special_separator|>
162
  (198.31, 254.18) (260.74, 254.18) (260.74, 268.88) (198.31, 268.88) /F2 か い じ する場合 <|special_separator|>
163
+ (240.58, 254.18) (323.86, 254.18) (323.86, 268.88) (240.58, 268.88) /F2 ば あ い があります。 <|special_separator|>
164
  (056.66, 207.66) (109.46, 207.66) (109.46, 219.66) (056.66, 219.66) /F3 13 学習 <|special_separator|>
165
  (080.90, 207.66) (171.16, 207.66) (171.16, 225.30) (080.90, 225.30) /F2 がくしゅう 用 よう テキスト <|special_separator|>
166
+ (125.81, 207.66) (533.87, 207.66) (533.87, 225.30) (125.81, 225.30) /F2 て き す と ---------------------------------------------------------- <|special_separator|>
167
  (077.54, 182.16) (098.66, 182.16) (098.66, 192.72) (077.54, 192.72) /F2 下記 <|special_separator|>
168
  (080.18, 182.16) (151.49, 182.16) (151.49, 196.88) (080.18, 196.88) /F2 か き のテキスト <|special_separator|>
169
  (111.89, 182.16) (227.83, 182.16) (227.83, 196.88) (111.89, 196.88) /F2 て き す と とDVDで学習 <|special_separator|>
170
  (203.83, 182.16) (302.50, 182.16) (302.50, 196.88) (203.83, 196.88) /F2 がくしゅう してください。 <|special_separator|>
171
  (067.22, 164.16) (098.66, 164.16) (098.66, 174.72) (067.22, 174.72) /F2 <判断 <|special_separator|>
172
  (077.54, 164.16) (119.81, 164.16) (119.81, 178.86) (077.54, 178.86) /F2 はんだん 試験 <|special_separator|>
173
+ (099.65, 164.16) (130.37, 164.16) (130.37, 178.86) (099.65, 178.86) /F2 し け ん > <|special_separator|>
174
  (077.78, 146.16) (127.49, 146.16) (127.49, 156.72) (077.78, 156.72) /F2 ① 『目指 <|special_separator|>
175
  (109.01, 146.16) (253.54, 146.16) (253.54, 160.86) (109.01, 160.86) /F2 め ざ せ!ビルクリーニング特定 <|special_separator|>
176
  (232.42, 146.16) (274.66, 146.16) (274.66, 160.86) (232.42, 160.86) /F2 とくてい 技能 <|special_separator|>
groundtruth/parser/082b97f3d239a9c5_0006.pdf.page_no_1.py.json.word.delta.txt CHANGED
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groundtruth/parser/082b97f3d239a9c5_0006.pdf.page_no_1.py.json.word.txt CHANGED
@@ -110,7 +110,9 @@
110
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111
  (280.20, 695.96) (285.24, 695.96) (285.24, 701.00) (280.20, 701.00) /F2 う <|special_separator|>
112
  (288.12, 686.30) (361.82, 686.30) (361.82, 696.86) (288.12, 696.86) /F2 けることを禁止 <|special_separator|>
113
- (341.66, 695.96) (360.62, 695.96) (360.62, 701.00) (341.66, 701.00) /F2 きんし <|special_separator|>
 
 
114
  (361.82, 686.30) (466.96, 686.30) (466.96, 696.86) (361.82, 696.86) /F2 することがあります。 <|special_separator|>
115
  (056.66, 639.78) (068.66, 639.78) (068.66, 651.78) (056.66, 651.78) /F3 10 <|special_separator|>
116
  (080.90, 639.78) (104.90, 639.78) (104.90, 651.78) (080.90, 651.78) /F2 合格 <|special_separator|>
@@ -187,7 +189,9 @@
187
  (169.75, 587.94) (174.79, 587.94) (174.79, 592.98) (169.75, 592.98) /F2 う <|special_separator|>
188
  (176.71, 587.94) (181.75, 587.94) (181.75, 592.98) (176.71, 592.98) /F2 ひ <|special_separator|>
189
  (182.95, 578.28) (204.07, 578.28) (204.07, 588.84) (182.95, 588.84) /F2 結果 <|special_separator|>
190
- (183.91, 587.94) (202.87, 587.94) (202.87, 592.98) (183.91, 592.98) /F2 けっか <|special_separator|>
 
 
191
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192
  (227.62, 587.94) (232.66, 587.94) (232.66, 592.98) (227.62, 592.98) /F2 と <|special_separator|>
193
  (235.54, 578.28) (256.66, 578.28) (256.66, 588.84) (235.54, 588.84) /F2 い合 <|special_separator|>
@@ -207,7 +211,8 @@
207
  (175.26, 561.40) (181.26, 561.40) (181.26, 567.40) (175.26, 567.40) /F2 ほ <|special_separator|>
208
  (183.18, 561.40) (189.18, 561.40) (189.18, 567.40) (183.18, 567.40) /F2 ん <|special_separator|>
209
  (190.15, 549.76) (214.15, 549.76) (214.15, 561.76) (190.15, 561.76) /F2 時間 <|special_separator|>
210
- (191.11, 561.40) (213.18, 561.40) (213.18, 567.40) (191.11, 567.40) /F2 じかん <|special_separator|>
 
211
  (214.18, 549.76) (268.42, 549.76) (268.42, 561.76) (214.18, 561.76) /F2 ):2022年 <|special_separator|>
212
  (256.42, 561.40) (268.42, 561.40) (268.42, 567.40) (256.42, 567.40) /F2 ねん <|special_separator|>
213
  (268.44, 549.76) (292.44, 549.76) (292.44, 561.76) (268.44, 561.76) /F3 12月 <|special_separator|>
@@ -381,7 +386,9 @@
381
  (229.54, 362.23) (240.10, 362.23) (240.10, 372.79) (229.54, 372.79) /F2 供 <|special_separator|>
382
  (216.10, 371.89) (241.30, 371.89) (241.30, 376.93) (216.10, 376.93) /F2 ていきょう <|special_separator|>
383
  (241.06, 362.23) (283.30, 362.23) (283.30, 372.79) (241.06, 372.79) /F2 する場合 <|special_separator|>
384
- (263.14, 371.89) (282.10, 371.89) (282.10, 376.93) (263.14, 376.93) /F2 ばあい <|special_separator|>
 
 
385
  (283.32, 362.23) (346.44, 362.23) (346.44, 372.79) (283.32, 372.79) /F2 があります。 <|special_separator|>
386
  (077.78, 344.21) (109.25, 344.21) (109.25, 354.77) (077.78, 354.77) /F2 ②受験 <|special_separator|>
387
  (088.13, 353.87) (109.01, 353.87) (109.01, 358.91) (088.13, 358.91) /F2 じゅけん <|special_separator|>
@@ -431,7 +438,9 @@
431
  (190.87, 335.87) (195.91, 335.87) (195.91, 340.91) (190.87, 340.91) /F2 よ <|special_separator|>
432
  (197.83, 335.87) (202.87, 335.87) (202.87, 340.91) (197.83, 340.91) /F2 う <|special_separator|>
433
  (204.07, 326.21) (246.10, 326.21) (246.10, 336.77) (204.07, 336.77) /F2 する場合 <|special_separator|>
434
- (225.94, 335.87) (244.90, 335.87) (244.90, 340.91) (225.94, 340.91) /F2 ばあい <|special_separator|>
 
 
435
  (246.10, 326.21) (309.46, 326.21) (309.46, 336.77) (246.10, 336.77) /F2 があります。 <|special_separator|>
436
  (077.78, 308.21) (100.85, 308.21) (100.85, 318.77) (077.78, 318.77) /F2 ③収 <|special_separator|>
437
  (105.41, 308.21) (115.97, 308.21) (115.97, 318.77) (105.41, 318.77) /F2 集 <|special_separator|>
@@ -475,7 +484,9 @@
475
  (497.23, 308.21) (538.78, 308.21) (538.78, 318.77) (497.23, 318.77) /F2 かつ安全 <|special_separator|>
476
  (517.66, 317.87) (538.54, 317.87) (538.54, 322.91) (517.66, 322.91) /F2 あんぜん <|special_separator|>
477
  (088.13, 290.21) (119.81, 290.21) (119.81, 300.77) (088.13, 300.77) /F2 に管理 <|special_separator|>
478
- (099.65, 299.87) (118.61, 299.87) (118.61, 304.91) (099.65, 304.91) /F2 かんり <|special_separator|>
 
 
479
  (119.81, 290.21) (172.37, 290.21) (172.37, 300.77) (119.81, 300.77) /F2 いたます。 <|special_separator|>
480
  (078.26, 272.18) (110.21, 272.18) (110.21, 282.74) (078.26, 282.74) /F2 ④日本 <|special_separator|>
481
  (090.05, 281.87) (095.09, 281.87) (095.09, 286.91) (090.05, 286.91) /F2 に <|special_separator|>
@@ -525,7 +536,9 @@
525
  (205.27, 263.84) (210.31, 263.84) (210.31, 268.88) (205.27, 268.88) /F2 い <|special_separator|>
526
  (212.23, 263.84) (217.27, 263.84) (217.27, 268.88) (212.23, 268.88) /F2 じ <|special_separator|>
527
  (218.50, 254.18) (260.74, 254.18) (260.74, 264.74) (218.50, 264.74) /F2 する場合 <|special_separator|>
528
- (240.58, 263.84) (259.54, 263.84) (259.54, 268.88) (240.58, 268.88) /F2 ばあい <|special_separator|>
 
 
529
  (260.74, 254.18) (323.86, 254.18) (323.86, 264.74) (260.74, 264.74) /F2 があります。 <|special_separator|>
530
  (056.66, 207.66) (068.66, 207.66) (068.66, 219.66) (056.66, 219.66) /F3 13 <|special_separator|>
531
  (082.34, 207.66) (109.46, 207.66) (109.46, 219.66) (082.34, 219.66) /F2 学習 <|special_separator|>
@@ -533,8 +546,10 @@
533
  (110.93, 207.66) (122.93, 207.66) (122.93, 219.66) (110.93, 219.66) /F2 用 <|special_separator|>
534
  (110.93, 219.30) (122.93, 219.30) (122.93, 225.30) (110.93, 225.30) /F2 よう <|special_separator|>
535
  (122.93, 207.66) (171.16, 207.66) (171.16, 219.66) (122.93, 219.66) /F2 テキスト <|special_separator|>
536
- (125.81, 219.30) (143.80, 219.30) (143.80, 225.30) (125.81, 225.30) /F2 てき <|special_separator|>
537
- (150.04, 219.30) (168.03, 219.30) (168.03, 225.30) (150.04, 225.30) /F2 すと <|special_separator|>
 
 
538
  (183.19, 207.66) (533.87, 207.66) (533.87, 219.66) (183.19, 219.66) /F3 ---------------------------------------------------------- <|special_separator|>
539
  (077.54, 182.16) (098.66, 182.16) (098.66, 192.72) (077.54, 192.72) /F2 下記 <|special_separator|>
540
  (080.18, 191.84) (085.22, 191.84) (085.22, 196.88) (080.18, 196.88) /F2 か <|special_separator|>
@@ -550,7 +565,9 @@
550
  (067.22, 164.16) (098.66, 164.16) (098.66, 174.72) (067.22, 174.72) /F2 <判断 <|special_separator|>
551
  (077.54, 173.82) (098.42, 173.82) (098.42, 178.86) (077.54, 178.86) /F2 はんだん <|special_separator|>
552
  (098.69, 164.16) (119.81, 164.16) (119.81, 174.72) (098.69, 174.72) /F2 試験 <|special_separator|>
553
- (099.65, 173.82) (118.61, 173.82) (118.61, 178.86) (099.65, 178.86) /F2 しけん <|special_separator|>
 
 
554
  (119.81, 164.16) (130.37, 164.16) (130.37, 174.72) (119.81, 174.72) /F2 > <|special_separator|>
555
  (077.78, 146.16) (088.34, 146.16) (088.34, 156.72) (077.78, 156.72) /F2 ① <|special_separator|>
556
  (095.81, 146.16) (127.49, 146.16) (127.49, 156.72) (095.81, 156.72) /F2 『目指 <|special_separator|>
 
110
  (267.00, 686.30) (288.12, 686.30) (288.12, 696.86) (267.00, 696.86) /F2 を受 <|special_separator|>
111
  (280.20, 695.96) (285.24, 695.96) (285.24, 701.00) (280.20, 701.00) /F2 う <|special_separator|>
112
  (288.12, 686.30) (361.82, 686.30) (361.82, 696.86) (288.12, 696.86) /F2 けることを禁止 <|special_separator|>
113
+ (341.66, 695.96) (346.70, 695.96) (346.70, 701.00) (341.66, 701.00) /F2 き <|special_separator|>
114
+ (348.62, 695.96) (353.66, 695.96) (353.66, 701.00) (348.62, 701.00) /F2 ん <|special_separator|>
115
+ (355.58, 695.96) (360.62, 695.96) (360.62, 701.00) (355.58, 701.00) /F2 し <|special_separator|>
116
  (361.82, 686.30) (466.96, 686.30) (466.96, 696.86) (361.82, 696.86) /F2 することがあります。 <|special_separator|>
117
  (056.66, 639.78) (068.66, 639.78) (068.66, 651.78) (056.66, 651.78) /F3 10 <|special_separator|>
118
  (080.90, 639.78) (104.90, 639.78) (104.90, 651.78) (080.90, 651.78) /F2 合格 <|special_separator|>
 
189
  (169.75, 587.94) (174.79, 587.94) (174.79, 592.98) (169.75, 592.98) /F2 う <|special_separator|>
190
  (176.71, 587.94) (181.75, 587.94) (181.75, 592.98) (176.71, 592.98) /F2 ひ <|special_separator|>
191
  (182.95, 578.28) (204.07, 578.28) (204.07, 588.84) (182.95, 588.84) /F2 結果 <|special_separator|>
192
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193
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194
+ (197.83, 587.94) (202.87, 587.94) (202.87, 592.98) (197.83, 592.98) /F2 か <|special_separator|>
195
  (204.07, 578.28) (235.54, 578.28) (235.54, 588.84) (204.07, 588.84) /F2 のお問 <|special_separator|>
196
  (227.62, 587.94) (232.66, 587.94) (232.66, 592.98) (227.62, 592.98) /F2 と <|special_separator|>
197
  (235.54, 578.28) (256.66, 578.28) (256.66, 588.84) (235.54, 588.84) /F2 い合 <|special_separator|>
 
211
  (175.26, 561.40) (181.26, 561.40) (181.26, 567.40) (175.26, 567.40) /F2 ほ <|special_separator|>
212
  (183.18, 561.40) (189.18, 561.40) (189.18, 567.40) (183.18, 567.40) /F2 ん <|special_separator|>
213
  (190.15, 549.76) (214.15, 549.76) (214.15, 561.76) (190.15, 561.76) /F2 時間 <|special_separator|>
214
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215
+ (199.26, 561.40) (213.18, 561.40) (213.18, 567.40) (199.26, 567.40) /F2 かん <|special_separator|>
216
  (214.18, 549.76) (268.42, 549.76) (268.42, 561.76) (214.18, 561.76) /F2 ):2022年 <|special_separator|>
217
  (256.42, 561.40) (268.42, 561.40) (268.42, 567.40) (256.42, 567.40) /F2 ねん <|special_separator|>
218
  (268.44, 549.76) (292.44, 549.76) (292.44, 561.76) (268.44, 561.76) /F3 12月 <|special_separator|>
 
386
  (229.54, 362.23) (240.10, 362.23) (240.10, 372.79) (229.54, 372.79) /F2 供 <|special_separator|>
387
  (216.10, 371.89) (241.30, 371.89) (241.30, 376.93) (216.10, 376.93) /F2 ていきょう <|special_separator|>
388
  (241.06, 362.23) (283.30, 362.23) (283.30, 372.79) (241.06, 372.79) /F2 する場合 <|special_separator|>
389
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390
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391
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392
  (283.32, 362.23) (346.44, 362.23) (346.44, 372.79) (283.32, 372.79) /F2 があります。 <|special_separator|>
393
  (077.78, 344.21) (109.25, 344.21) (109.25, 354.77) (077.78, 354.77) /F2 ②受験 <|special_separator|>
394
  (088.13, 353.87) (109.01, 353.87) (109.01, 358.91) (088.13, 358.91) /F2 じゅけん <|special_separator|>
 
438
  (190.87, 335.87) (195.91, 335.87) (195.91, 340.91) (190.87, 340.91) /F2 よ <|special_separator|>
439
  (197.83, 335.87) (202.87, 335.87) (202.87, 340.91) (197.83, 340.91) /F2 う <|special_separator|>
440
  (204.07, 326.21) (246.10, 326.21) (246.10, 336.77) (204.07, 336.77) /F2 する場合 <|special_separator|>
441
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442
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443
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444
  (246.10, 326.21) (309.46, 326.21) (309.46, 336.77) (246.10, 336.77) /F2 があります。 <|special_separator|>
445
  (077.78, 308.21) (100.85, 308.21) (100.85, 318.77) (077.78, 318.77) /F2 ③収 <|special_separator|>
446
  (105.41, 308.21) (115.97, 308.21) (115.97, 318.77) (105.41, 318.77) /F2 集 <|special_separator|>
 
484
  (497.23, 308.21) (538.78, 308.21) (538.78, 318.77) (497.23, 318.77) /F2 かつ安全 <|special_separator|>
485
  (517.66, 317.87) (538.54, 317.87) (538.54, 322.91) (517.66, 322.91) /F2 あんぜん <|special_separator|>
486
  (088.13, 290.21) (119.81, 290.21) (119.81, 300.77) (088.13, 300.77) /F2 に管理 <|special_separator|>
487
+ (099.65, 299.87) (104.69, 299.87) (104.69, 304.91) (099.65, 304.91) /F2 か <|special_separator|>
488
+ (106.61, 299.87) (111.65, 299.87) (111.65, 304.91) (106.61, 304.91) /F2 ん <|special_separator|>
489
+ (113.57, 299.87) (118.61, 299.87) (118.61, 304.91) (113.57, 304.91) /F2 り <|special_separator|>
490
  (119.81, 290.21) (172.37, 290.21) (172.37, 300.77) (119.81, 300.77) /F2 いたます。 <|special_separator|>
491
  (078.26, 272.18) (110.21, 272.18) (110.21, 282.74) (078.26, 282.74) /F2 ④日本 <|special_separator|>
492
  (090.05, 281.87) (095.09, 281.87) (095.09, 286.91) (090.05, 286.91) /F2 に <|special_separator|>
 
536
  (205.27, 263.84) (210.31, 263.84) (210.31, 268.88) (205.27, 268.88) /F2 い <|special_separator|>
537
  (212.23, 263.84) (217.27, 263.84) (217.27, 268.88) (212.23, 268.88) /F2 じ <|special_separator|>
538
  (218.50, 254.18) (260.74, 254.18) (260.74, 264.74) (218.50, 264.74) /F2 する場合 <|special_separator|>
539
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540
+ (247.54, 263.84) (252.58, 263.84) (252.58, 268.88) (247.54, 268.88) /F2 あ <|special_separator|>
541
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542
  (260.74, 254.18) (323.86, 254.18) (323.86, 264.74) (260.74, 264.74) /F2 があります。 <|special_separator|>
543
  (056.66, 207.66) (068.66, 207.66) (068.66, 219.66) (056.66, 219.66) /F3 13 <|special_separator|>
544
  (082.34, 207.66) (109.46, 207.66) (109.46, 219.66) (082.34, 219.66) /F2 学習 <|special_separator|>
 
546
  (110.93, 207.66) (122.93, 207.66) (122.93, 219.66) (110.93, 219.66) /F2 用 <|special_separator|>
547
  (110.93, 219.30) (122.93, 219.30) (122.93, 225.30) (110.93, 225.30) /F2 よう <|special_separator|>
548
  (122.93, 207.66) (171.16, 207.66) (171.16, 219.66) (122.93, 219.66) /F2 テキスト <|special_separator|>
549
+ (125.81, 219.30) (131.81, 219.30) (131.81, 225.30) (125.81, 225.30) /F2 て <|special_separator|>
550
+ (137.80, 219.30) (143.80, 219.30) (143.80, 225.30) (137.80, 225.30) /F2 き <|special_separator|>
551
+ (150.04, 219.30) (156.04, 219.30) (156.04, 225.30) (150.04, 225.30) /F2 す <|special_separator|>
552
+ (162.03, 219.30) (168.03, 219.30) (168.03, 225.30) (162.03, 225.30) /F2 と <|special_separator|>
553
  (183.19, 207.66) (533.87, 207.66) (533.87, 219.66) (183.19, 219.66) /F3 ---------------------------------------------------------- <|special_separator|>
554
  (077.54, 182.16) (098.66, 182.16) (098.66, 192.72) (077.54, 192.72) /F2 下記 <|special_separator|>
555
  (080.18, 191.84) (085.22, 191.84) (085.22, 196.88) (080.18, 196.88) /F2 か <|special_separator|>
 
565
  (067.22, 164.16) (098.66, 164.16) (098.66, 174.72) (067.22, 174.72) /F2 <判断 <|special_separator|>
566
  (077.54, 173.82) (098.42, 173.82) (098.42, 178.86) (077.54, 178.86) /F2 はんだん <|special_separator|>
567
  (098.69, 164.16) (119.81, 164.16) (119.81, 174.72) (098.69, 174.72) /F2 試験 <|special_separator|>
568
+ (099.65, 173.82) (104.69, 173.82) (104.69, 178.86) (099.65, 178.86) /F2 し <|special_separator|>
569
+ (106.61, 173.82) (111.65, 173.82) (111.65, 178.86) (106.61, 178.86) /F2 け <|special_separator|>
570
+ (113.57, 173.82) (118.61, 173.82) (118.61, 178.86) (113.57, 178.86) /F2 ん <|special_separator|>
571
  (119.81, 164.16) (130.37, 164.16) (130.37, 174.72) (119.81, 174.72) /F2 > <|special_separator|>
572
  (077.78, 146.16) (088.34, 146.16) (088.34, 156.72) (077.78, 156.72) /F2 ① <|special_separator|>
573
  (095.81, 146.16) (127.49, 146.16) (127.49, 156.72) (095.81, 156.72) /F2 『目指 <|special_separator|>
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30
  (071.90, 125.78) (268.98, 125.78) (268.98, 134.61) (071.90, 134.61) /F7 4. 裝有人工耳蝸 (高血壓本身並非高風險的情況) <|special_separator|>
31
  (071.90, 110.18) (407.23, 110.18) (407.23, 119.01) (071.90, 119.01) /F7 5. 如果醫生評估後不建議客戶進行疫苗接種,診所將收取客戶300港幣的諮詢費。 <|special_separator|>
32
- (071.90, 094.58) (558.45, 094.58) (558.45, 103.41) (071.90, 103.41) /F7 6. 如果客戶即埸選擇接受時代醫療體檢中心其他任何一項健康及篩檢計劃(見目錄P.2)以取代以上疫苗接種服務,則可免 <|special_separator|>
33
  (089.90, 079.10) (200.18, 079.10) (200.18, 087.93) (089.90, 087.93) /F6 除以上300港幣的諮詢費。
 
29
  (098.90, 141.26) (206.90, 141.26) (206.90, 150.09) (098.90, 150.09) /F7 iv. 糖尿或腦脊髓液滲漏 <|special_separator|>
30
  (071.90, 125.78) (268.98, 125.78) (268.98, 134.61) (071.90, 134.61) /F7 4. 裝有人工耳蝸 (高血壓本身並非高風險的情況) <|special_separator|>
31
  (071.90, 110.18) (407.23, 110.18) (407.23, 119.01) (071.90, 119.01) /F7 5. 如果醫生評估後不建議客戶進行疫苗接種,診所將收取客戶300港幣的諮詢費。 <|special_separator|>
32
+ (071.90, 094.58) (558.45, 094.58) (558.45, 103.41) (071.90, 103.41) /F7 6. 如果客戶即埸選擇接受時代醫療體檢中心其他任何一項健康及篩檢計劃(見目錄 P.2)以取代以上疫苗接種服務,則可免 <|special_separator|>
33
  (089.90, 079.10) (200.18, 079.10) (200.18, 087.93) (089.90, 087.93) /F6 除以上300港幣的諮詢費。
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