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ba99ce68bf4cd332169510f2d5e50b02 | 972 | statcan | 5587 | 1 | total investment is between $29455 millions and $40025 millions at current prices. | what are the lower and upper range value of total investment at current prices respectively? | [
"29455.0",
"40025.0"
] | [
"none"
] | {"entity_link": {"top": {"at current prices": {"(0, 4)": 2018.0}}, "left": {"total": {"(2, 0)": "total of all data-related categories"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(3, 4)": 29455.0, "(4, 4)": 40025.0}}} | [
"=E6",
"=E7"
] | {"E6": "(3, 4)", "E7": "(4, 4)"} | investment in 'data', 'databases' and 'data science' | <table><caption>investment in 'data', 'databases' and 'data science'</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">2005</th><th colspan="1" rowspan="1">2010</th><th colspan="1" rowspan="1">2015</th><th colspan="1" rowspan="1">2018</th></tr></thead><tbody><tr><th rowspan="8">millions o... | {"title": "investment in 'data', 'databases' and 'data science'", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "2005", "value": "2005", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "2010", "value": "2010", "type": "string", "children_d... |
c78002459a5ca22c9a374707feae9584 | 974 | statcan | 5592 | 1 | the non-financial corporations sector accounts for around half of all the investment and stock. | what are the percentages of non-financial corporations sector accounting for the investment and stock respectively? | [
"46.4",
"51.5"
] | [
"none"
] | {"entity_link": {"top": {}, "left": {"investment": {"(2, 0)": "investment"}, "stock": {"(5, 0)": "capital stock"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(3, 3)": 46.4, "(6, 3)": 51.5}}} | [
"=D6",
"=D9"
] | {"D6": "(3, 3)", "D9": "(6, 3)"} | investment and capital stock, 'data', 'databases', 'data science', by sector, 2018 | <table><caption>investment and capital stock, 'data', 'databases', 'data science', by sector, 2018</caption><thead><tr><th colspan="2" rowspan="2"></th><th colspan="1" rowspan="1">total</th><th colspan="2" rowspan="1">non-financial corporations</th><th colspan="2" rowspan="1">financial corporations</th><th colspan="2" ... | {"title": "investment and capital stock, 'data', 'databases', 'data science', by sector, 2018", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "total", "value": "total", "type": "string", "children_dict": [{"name": "millions of dollars", "value": "millions... |
4399c0c1b5d35b67bfb608011c22b310 | 974 | statcan | 5593 | 1 | the government sector accounts for about a fifth of the investment and the stock. | what are the percentages of government sector accounting for the investment and stock respectively? | [
"20.5",
"22.2"
] | [
"none"
] | {"entity_link": {"top": {"government": {"(1, 7)": "percent of total"}}, "left": {"investment": {"(2, 0)": "investment"}, "stock": {"(5, 0)": "capital stock"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(3, 7)": 20.5, "(6, 7)": 22.2}}} | [
"=H6",
"=H9"
] | {"H6": "(3, 7)", "H9": "(6, 7)"} | investment and capital stock, 'data', 'databases', 'data science', by sector, 2018 | <table><caption>investment and capital stock, 'data', 'databases', 'data science', by sector, 2018</caption><thead><tr><th colspan="2" rowspan="2"></th><th colspan="1" rowspan="1">total</th><th colspan="2" rowspan="1">non-financial corporations</th><th colspan="2" rowspan="1">financial corporations</th><th colspan="2" ... | {"title": "investment and capital stock, 'data', 'databases', 'data science', by sector, 2018", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "total", "value": "total", "type": "string", "children_dict": [{"name": "millions of dollars", "value": "millions... |
56e098b82b0a00b659bdfdb29ef9e1dd | 978 | statcan | 5630 | 1 | more married women who were economic immigrants than married women in the family class worked at some point in 2010: almost 74% compared with almost 66%. | who worked at some point in 2010 more,married women who were economic immigrants or married women in the family class? | [
"female spouses of economic immigrant principal applicants"
] | [
"pair-argmax"
] | {"entity_link": {"top": {"married women who were economic immigrants": {"(0, 1)": "female spouses of economic immigrant principal applicants"}, "married women in the family class": {"(0, 2)": "married women in the family class"}, "[ANSWER]": {"(0, 1)": "female spouses of economic immigrant principal applicants"}}, "lef... | [
"=B3"
] | {"B3": "(0, 1)"} | descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class | <table><caption>descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">female spouses of economic i... | {"title": "descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "... |
1b89e8fd1a47a9c01bb348b30df0a498 | 978 | statcan | 5631 | 1 | some 37% of economic immigrant spouses worked full time, full year in 2010, compared with about 30% of women in the family class. | what were the percentages of economic immigrant spouses and women in the family class who worked full time, full year in 2010 respectively? | [
"37.4",
"29.9"
] | [
"none"
] | {"entity_link": {"top": {"economic immigrant spouses": {"(0, 1)": "female spouses of economic immigrant principal applicants"}, "women in the family class": {"(0, 2)": "married women in the family class"}}, "left": {"worked full time, full year": {"(3, 0)": "percent employed full time, full year"}}, "top_left_corner": ... | [
"=B6",
"=C6"
] | {"B6": "(3, 1)", "C6": "(3, 2)"} | descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class | <table><caption>descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">female spouses of economic i... | {"title": "descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "... |
f6ead04d859a65f4770f07fe0e2d5811 | 978 | statcan | 5632 | 1 | about three-quarters of economic immigrant spouses and women in the family class worked mostly full-time weeks. | what were the percentages of economic immigrant spouses and women in the family class who worked mostly full-time weeks respectively? | [
"75.7",
"74.0"
] | [
"none"
] | {"entity_link": {"top": {"economic immigrant spouses": {"(0, 1)": "female spouses of economic immigrant principal applicants"}, "women in the family class": {"(0, 2)": "married women in the family class"}}, "left": {"worked mostly full-time weeks": {"(4, 0)": "percent employed mostly full time, conditional on being emp... | [
"=B7",
"=C7"
] | {"B7": "(4, 1)", "C7": "(4, 2)"} | descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class | <table><caption>descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">female spouses of economic i... | {"title": "descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "... |
ddf8cf234ab004ce1c231a8d9ee775a0 | 978 | statcan | 5633 | 1 | weekly earnings, whether conditional on being employed or not, were also higher among economic immigrant spouses than among women in the family class. | who got higher weekly earnings, whether conditional on being employed or not,economic immigrant spouses or women in the family class? | [
"female spouses of economic immigrant principal applicants"
] | [
"pair-argmax"
] | {"entity_link": {"top": {"economic immigrant spouses": {"(0, 1)": "female spouses of economic immigrant principal applicants"}, "women in the family class": {"(0, 2)": "married women in the family class"}, "[ANSWER]": {"(0, 1)": "female spouses of economic immigrant principal applicants"}}, "left": {"weekly earnings, w... | [
"=B3"
] | {"B3": "(0, 1)"} | descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class | <table><caption>descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">female spouses of economic i... | {"title": "descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "... |
e87d1939363dd7f730894701be023ede | 978 | statcan | 5634 | 1 | married women in the family class were highly concentrated in occupations in sales and services. | what was the percentage of married women in the family class woking in occupations in sales and services? | [
"31.5"
] | [
"none"
] | {"entity_link": {"top": {"women in the family class": {"(0, 2)": "married women in the family class"}}, "left": {"sales and services": {"(17, 0)": "sales and services"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(17, 2)": 31.5}}} | [
"=C20"
] | {"C20": "(17, 2)"} | descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class | <table><caption>descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">female spouses of economic i... | {"title": "descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "... |
24800eb925236276ce4ba1417684c414 | 978 | statcan | 5635 | 1 | about 23% economic immigrant spouses worked in sales and service occupations,nearly 9% worked in natural and applied sciences. | what were the percentages of economic immigrant spouses who worked in sales and services and natural and applied sciences respectively? | [
"23.3",
"8.7"
] | [
"none"
] | {"entity_link": {"top": {"economic immigrant spouses": {"(0, 1)": "female spouses of economic immigrant principal applicants"}}, "left": {"sales and services": {"(17, 0)": "sales and services"}, "natural and applied sciences": {"(13, 0)": "natural and applied sciences"}}, "top_left_corner": {}}, "quantity_link": {"[ANS... | [
"=B20",
"=B16"
] | {"B20": "(17, 1)", "B16": "(13, 1)"} | descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class | <table><caption>descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">female spouses of economic i... | {"title": "descriptive statistics on labour market outcomes (unadjusted) in 2010 of women who arrived as spouses of economic immigrant principal applicants and married women who arrived in the family class", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "... |
590951fbe3297ba2e81661cb404c7123 | 97_50_nsf19317-tab001 | nsf | 147 | 1 | worldwide s&e publication output continues to grow, reaching 2.4 million in 2017. | how many articles do worldwide s&e publication output continue to grow in 2017? | [
"2422608.0"
] | [
"none"
] | {"entity_link": {"top": {"2017": {"(0, 3)": 2017.0}}, "left": {}, "top_left_corner": {}}, "quantity_link": {"worldwide": {"(1, 1)": "world"}, "[ANSWER]": {"(1, 3)": 2422608.0}}} | [
"=D4"
] | {"D4": "(1, 3)"} | table 1. science and engineering articles, by country or economy: 2007 and 2017 | <table><caption>table 1. science and engineering articles, by country or economy: 2007 and 2017</caption><thead><tr><th colspan="1" rowspan="1"></th><th colspan="1" rowspan="1">country or economy</th><th colspan="1" rowspan="1">2007</th><th colspan="1" rowspan="1">2017</th><th colspan="1" rowspan="1">average annual gro... | {"title": "table 1. science and engineering articles, by country or economy: 2007 and 2017", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "country or economy", "value": "country or economy", "type": "string", "children_dict": [], "line_idx": 0}, {"name":... |
ecb6c200bd9bb6b5d8b846cee7436baf | 97_50_nsf19317-tab001 | nsf | 148 | 1 | in 2017, the united states were the world's largest producers of s&e publication output, producing 424,000 of the 2.4 million world total. | in 2017, the united states were the world's largest producers of s&e publication output,how many million people produced of the 2.4 million world total? | [
"423529.0"
] | [
"none"
] | {"entity_link": {"top": {"2017": {"(0, 3)": 2017.0}}, "left": {}, "top_left_corner": {}}, "quantity_link": {"united states": {"(3, 1)": "united states"}, "[ANSWER]": {"(3, 3)": 423529.0}}} | [
"=D6"
] | {"D6": "(3, 3)"} | table 1. science and engineering articles, by country or economy: 2007 and 2017 | <table><caption>table 1. science and engineering articles, by country or economy: 2007 and 2017</caption><thead><tr><th colspan="1" rowspan="1"></th><th colspan="1" rowspan="1">country or economy</th><th colspan="1" rowspan="1">2007</th><th colspan="1" rowspan="1">2017</th><th colspan="1" rowspan="1">average annual gro... | {"title": "table 1. science and engineering articles, by country or economy: 2007 and 2017", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "country or economy", "value": "country or economy", "type": "string", "children_dict": [], "line_idx": 0}, {"name":... |
a040075272030e3d3de6d953861615af | 97_50_nsf19317-tab001 | nsf | 148 | 2 | in 2017, china were the world's largest producers of s&e publication output, producing 457,000 of the 2.4 million world total. | in 2017, china was the world's largest producers of s&e publication output,how many million people produced of the 2.4 million world total? | [
"456960.0"
] | [
"none"
] | {"entity_link": {"top": {"2017": {"(0, 3)": 2017.0}}, "left": {}, "top_left_corner": {}}, "quantity_link": {"china": {"(2, 1)": "china"}, "[ANSWER]": {"(2, 3)": 456960.0}}} | [
"=D5"
] | {"D5": "(2, 3)"} | table 1. science and engineering articles, by country or economy: 2007 and 2017 | <table><caption>table 1. science and engineering articles, by country or economy: 2007 and 2017</caption><thead><tr><th colspan="1" rowspan="1"></th><th colspan="1" rowspan="1">country or economy</th><th colspan="1" rowspan="1">2007</th><th colspan="1" rowspan="1">2017</th><th colspan="1" rowspan="1">average annual gro... | {"title": "table 1. science and engineering articles, by country or economy: 2007 and 2017", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "country or economy", "value": "country or economy", "type": "string", "children_dict": [], "line_idx": 0}, {"name":... |
a0c9d99b7611e8d4744c45246fd0766b | 98 | statcan | 398 | 1 | in 2011, 36.4% of french-language workers in northern ontario did not have a certificate, diploma, or degree. | in 2011, what percent of french-language workers in northern ontario did not have a certificate, diploma, or degree? | [
"36.4"
] | [
"none"
] | {"entity_link": {"top": {"french-language workers": {"(1, 3)": "french-language workers"}, "northern ontario": {"(0, 3)": "northern ontario"}}, "left": {"not have a certificate, diploma, or degree": {"(3, 0)": "no certificate, diploma or degree"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(3, 3)": 36.4}}... | [
"=D6"
] | {"D6": "(3, 3)"} | education by fols of workers in the agri-food sector aged 15 years and over, two agricultural regions of ontario, 2011 | <table><caption>education by fols of workers in the agri-food sector aged 15 years and over, two agricultural regions of ontario, 2011</caption><thead><tr><th colspan="2" rowspan="2"></th><th colspan="2" rowspan="1">eastern ontario</th><th colspan="2" rowspan="1">northern ontario</th></tr><tr><th colspan="1" rowspan="1... | {"title": "education by fols of workers in the agri-food sector aged 15 years and over, two agricultural regions of ontario, 2011", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "eastern ontario", "value": "eastern ontario", "type": "string", "children_di... |
814cb138d68c1ebb5e8e0cd9da08fd98 | 983 | statcan | 5673 | 1 | 13.6% of women who had experienced harassment said that they were dissatisfied with their current job. | what was the percentage of women who had experienced harassment dissatisfied with their current job. | [
"13.6"
] | [
"none"
] | {"entity_link": {"top": {"women who had experienced harassment": {"(1, 3)": "experienced workplace harassment"}}, "left": {"dissatisfied with their current job": {"(4, 0)": "dissatisfied with current job"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(4, 3)": 13.6}}} | [
"=D7"
] | {"D7": "(4, 3)"} | relationship between past year workplace harassment and select indicators of workplace well-being, 2016 | <table><caption>relationship between past year workplace harassment and select indicators of workplace well-being, 2016</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="2" rowspan="1">men</th><th colspan="2" rowspan="1">women</th></tr><tr><th colspan="1" rowspan="1">experienced workplace harassment</th... | {"title": "relationship between past year workplace harassment and select indicators of workplace well-being, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "experienced workplace h... |
c283bc26f0f4dbfb9eeb9a79f3b3ccd7 | 983 | statcan | 5674 | 1 | 14% of men who had experienced harassment said that they were dissatisfied with their current job. | what was the percentage of men who had experienced harassment dissatisfied with their current job? | [
"13.7"
] | [
"none"
] | {"entity_link": {"top": {"men who had experienced harassment": {"(1, 1)": "experienced workplace harassment"}}, "left": {"dissatisfied with their current job": {"(4, 0)": "dissatisfied with current job"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(4, 1)": 13.7}}} | [
"=B7"
] | {"B7": "(4, 1)"} | relationship between past year workplace harassment and select indicators of workplace well-being, 2016 | <table><caption>relationship between past year workplace harassment and select indicators of workplace well-being, 2016</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="2" rowspan="1">men</th><th colspan="2" rowspan="1">women</th></tr><tr><th colspan="1" rowspan="1">experienced workplace harassment</th... | {"title": "relationship between past year workplace harassment and select indicators of workplace well-being, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "experienced workplace h... |
6a51c6b2e685cbb3a8f8c09bab9fad31 | 983 | statcan | 5675 | 1 | 24% of men who had experienced harassment said that they had low motivation to perform their best at their current organization. | what was the percentage of men who had experienced harassment had low motivation to perform their best at their current organization? | [
"24.0"
] | [
"none"
] | {"entity_link": {"top": {"men who had experienced harassment": {"(1, 1)": "experienced workplace harassment"}}, "left": {"had low motivation to perform their best at their current organization": {"(6, 0)": "low motivation to perform their best at current organization"}}, "top_left_corner": {}}, "quantity_link": {"[ANSW... | [
"=B9"
] | {"B9": "(6, 1)"} | relationship between past year workplace harassment and select indicators of workplace well-being, 2016 | <table><caption>relationship between past year workplace harassment and select indicators of workplace well-being, 2016</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="2" rowspan="1">men</th><th colspan="2" rowspan="1">women</th></tr><tr><th colspan="1" rowspan="1">experienced workplace harassment</th... | {"title": "relationship between past year workplace harassment and select indicators of workplace well-being, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "experienced workplace h... |
82696b14a9263ed6ac8b8207c63385f1 | 983 | statcan | 5676 | 1 | 20% of women who had experienced harassment said that they had low motivation to perform their best at their current organization. | what was the percentage of women who had experienced harassment had low motivation to perform their best at their current organization? | [
"19.5"
] | [
"none"
] | {"entity_link": {"top": {"women who had experienced harassment": {"(1, 3)": "experienced workplace harassment"}}, "left": {"had low motivation to perform their best at their current organization": {"(6, 0)": "low motivation to perform their best at current organization"}}, "top_left_corner": {}}, "quantity_link": {"[AN... | [
"=D9"
] | {"D9": "(6, 3)"} | relationship between past year workplace harassment and select indicators of workplace well-being, 2016 | <table><caption>relationship between past year workplace harassment and select indicators of workplace well-being, 2016</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="2" rowspan="1">men</th><th colspan="2" rowspan="1">women</th></tr><tr><th colspan="1" rowspan="1">experienced workplace harassment</th... | {"title": "relationship between past year workplace harassment and select indicators of workplace well-being, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "experienced workplace h... |
82dad890fc479b44d65dfc674c04ca46 | 984 | statcan | 5678 | 1 | 18% of men who reported experiencing workplace harassment in the past year said they had poor mental health, compared with 6% for men who were not harassed. | what were the percentages of men who reported experiencing workplace harassment in the past year had poor mental health and those were not harassed respectively? | [
"18.2",
"6.2"
] | [
"none"
] | {"entity_link": {"top": {"men who reported experiencing workplace harassment": {"(1, 1)": "experienced workplace harassment"}, "not harassed": {"(1, 2)": "did not experience workplace harassment"}}, "left": {"poor mental health": {"(6, 0)": "fair/poor mental health"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER... | [
"=B9",
"=C9"
] | {"B9": "(6, 1)", "C9": "(6, 2)"} | relationship between past year workplace harassment and select indicators of personal well-being, 2016 | <table><caption>relationship between past year workplace harassment and select indicators of personal well-being, 2016</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="2" rowspan="1">men</th><th colspan="2" rowspan="1">women</th></tr><tr><th colspan="1" rowspan="1">experienced workplace harassment</th>... | {"title": "relationship between past year workplace harassment and select indicators of personal well-being, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "experienced workplace ha... |
bca6f65dae8bdb4d4d8911aa17fb6f9a | 984 | statcan | 5679 | 1 | 16% of women who were harassed in the workplace in the past year said they had poor mental health, compared with 8% for women who were not harassed. | what were the percentages of women who reported experiencing workplace harassment in the past year had poor mental health and those were not harassed respectively? | [
"16.4",
"7.5"
] | [
"none"
] | {"entity_link": {"top": {"women who were harassed in the workplace": {"(1, 3)": "experienced workplace harassment"}, "women who were not harassed": {"(1, 4)": "did not experience workplace harassment"}}, "left": {"poor mental health": {"(6, 0)": "fair/poor mental health"}}, "top_left_corner": {}}, "quantity_link": {"[A... | [
"=D9",
"=E9"
] | {"D9": "(6, 3)", "E9": "(6, 4)"} | relationship between past year workplace harassment and select indicators of personal well-being, 2016 | <table><caption>relationship between past year workplace harassment and select indicators of personal well-being, 2016</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="2" rowspan="1">men</th><th colspan="2" rowspan="1">women</th></tr><tr><th colspan="1" rowspan="1">experienced workplace harassment</th>... | {"title": "relationship between past year workplace harassment and select indicators of personal well-being, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "experienced workplace ha... |
167461c1cd305eb20ce27b198dde342d | 985 | statcan | 5682 | 1 | among men who were harassed by a manager or supervisor, 23% reported low levels of job satisfaction, compared with 9% of those who were harassed by someone other than a person in a position of power. | among men who were harassed by a manager or supervisor and those who were harassed by someone other than a person in a position of power,what were the percentages of those reported low levels of job satisfaction respectively? | [
"23.0",
"8.6"
] | [
"none"
] | {"entity_link": {"top": {"men who were harassed by a manager or supervisor": {"(1, 1)": "harassed in the workplace by person in position of power"}, "harassed by someone other than a person in a position of power": {"(1, 2)": "harassed in the workplace, but not by a person in position of power"}}, "left": {"low levels ... | [
"=B7",
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] | {"B7": "(4, 1)", "C7": "(4, 2)"} | relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016 | <table><caption>relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="3" rowspan="1">men</th><th colspan="3" rowspan="1">women</th></tr><tr><th colspan="1" rowspan="1">harassed in the workpl... | {"title": "relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "harassed ... |
c3053ebd5fa2c381d9a8b68105453aa6 | 985 | statcan | 5683 | 1 | 5% of men who did not report workplace harassment had low levels of job satisfaction. | what was the percentage of men who did not report workplace harassment had low levels of job satisfaction? | [
"4.9"
] | [
"none"
] | {"entity_link": {"top": {"men who did not report workplace harassment": {"(1, 3)": "not harassed in the workplace"}}, "left": {"low levels of job satisfaction": {"(4, 0)": "dissatisfied with current job"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(4, 3)": 4.9}}} | [
"=D7"
] | {"D7": "(4, 3)"} | relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016 | <table><caption>relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="3" rowspan="1">men</th><th colspan="3" rowspan="1">women</th></tr><tr><th colspan="1" rowspan="1">harassed in the workpl... | {"title": "relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "harassed ... |
cddf2f87f7042daf1a92caddd8a66bf4 | 985 | statcan | 5684 | 1 | women who were harassed by a person in position of power were more likely to be dissatisfied with their job than those who had not been harassed. | who were more likely to be dissatisfied with their job,women who were harassed by a person in position of power or those who had not been harassed? | [
"harassed in the workplace by person in position of power"
] | [
"pair-argmax"
] | {"entity_link": {"top": {"women who were harassed by a person in position of power": {"(1, 4)": "harassed in the workplace by person in position of power"}, "who had not been harassed": {"(1, 6)": "not harassed in the workplace"}, "[ANSWER]": {"(1, 4)": "harassed in the workplace by person in position of power"}}, "lef... | [
"=E4"
] | {"E4": "(1, 4)"} | relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016 | <table><caption>relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="3" rowspan="1">men</th><th colspan="3" rowspan="1">women</th></tr><tr><th colspan="1" rowspan="1">harassed in the workpl... | {"title": "relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "harassed ... |
719cc0d14613e1ea43bb2c014491440c | 985 | statcan | 5685 | 1 | approximately 16% of both women and men who said they had not been harassed at work in the past year had a weak sense of belonging to their current organization. | what were the percentages of women and men who said they had not been harassed at work in the past year had a weak sense of belonging to their current organization respectively? | [
"16.2",
"16.1"
] | [
"none"
] | {"entity_link": {"top": {"women": {"(1, 6)": "not harassed in the workplace"}, "men": {"(1, 3)": "not harassed in the workplace"}}, "left": {"had a weak sense of belonging to their current organization": {"(7, 0)": "weak sense of belonging to current organization"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]"... | [
"=D10",
"=G10"
] | {"D10": "(7, 3)", "G10": "(7, 6)"} | relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016 | <table><caption>relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="3" rowspan="1">men</th><th colspan="3" rowspan="1">women</th></tr><tr><th colspan="1" rowspan="1">harassed in the workpl... | {"title": "relationship between the source of past year workplace harassment and select indicators of workplace well-being, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "harassed ... |
ca5b5dd24df0162c25f8132ef4e4aa76 | 986 | statcan | 5687 | 1 | 25% of men who reported that they had been harassed by a person in a position of power said they had poor mental health, compared with 13% for men who were reported that they had been harassed by someone else. | what were the percentages of men who reported that they had been harassed by a person in a position of power had poor mental health and those had been harassed by someone else respectively? | [
"25.2",
"13.7"
] | [
"none"
] | {"entity_link": {"top": {"men who reported that they had been harassed by a person in a position of power": {"(1, 1)": "harassed in the workplace by person in position of power"}, "had been harassed by someone else": {"(1, 2)": "harassed in the workplace, but not by a person in position of power"}}, "left": {"poor ment... | [
"=B9",
"=C9"
] | {"B9": "(6, 1)", "C9": "(6, 2)"} | relationship between the source of past year workplace harassment and select indicators of personal well-being, 2016 | <table><caption>relationship between the source of past year workplace harassment and select indicators of personal well-being, 2016</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="3" rowspan="1">men</th><th colspan="3" rowspan="1">women</th></tr><tr><th colspan="1" rowspan="1">harassed in the workpla... | {"title": "relationship between the source of past year workplace harassment and select indicators of personal well-being, 2016", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "men", "value": "men", "type": "string", "children_dict": [{"name": "harassed i... |
5ab704b0e9ffcd6ba5478fa58dc380a6 | 987 | statcan | 5689 | 1 | fewer black youth aged 9 to 17 in 2006 lived with a parent whose highest level of education was a university degree. | what were the percentages of black youth and other youth who lived with a parent whose highest level of education was a university degree respectively? | [
"23",
"30"
] | [
"sum"
] | {"entity_link": {"top": {"black youth": {"(0, 1)": "black youth"}, "other youth": {"(0, 2)": "other youth"}}, "left": {}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(13, 1)": 7.0, "(12, 1)": 16.0, "(12, 2)": 21.0, "(13, 2)": 9.0}}} | [
"=B15+B16",
"=C15+C16"
] | {"B15": "(12, 1)", "B16": "(13, 1)", "C15": "(12, 2)", "C16": "(13, 2)"} | socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006 | <table><caption>socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">black youth</th><th colspan="1" rowspan="1">other youth</th></tr></thead><tbody><tr><th rowspan="46">percent</th><th rowspan="2">plac... | {"title": "socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "black youth", "value": "black youth", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "ot... |
5abfe6869f01ed13354b2efc38b42e2d | 987 | statcan | 5691 | 1 | black youth were more likely than other youth to live in economically disadvantaged families in 2006. | who were more likely to live in economically disadvantaged families in 2006,black youth or other youth? | [
"black youth"
] | [
"pair-argmax"
] | {"entity_link": {"top": {"black youth": {"(0, 1)": "black youth"}, "other youth": {"(0, 2)": "other youth"}, "[ANSWER]": {"(0, 1)": "black youth"}}, "left": {"economically disadvantaged families": {"(15, 0)": "first"}}, "top_left_corner": {}}, "quantity_link": {}} | [
"=B3"
] | {"B3": "(0, 1)"} | socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006 | <table><caption>socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">black youth</th><th colspan="1" rowspan="1">other youth</th></tr></thead><tbody><tr><th rowspan="46">percent</th><th rowspan="2">plac... | {"title": "socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "black youth", "value": "black youth", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "ot... |
dc1f747ce7b9041380cb02d153222c1f | 987 | statcan | 5692 | 1 | black youth were approximately twice as likely as other youth to be in the bottom quintile of family income. | what was the multiple relationship between black youth and other youth who lived in the bottom quintile of family income? | [
"1.85"
] | [
"div"
] | {"entity_link": {"top": {"black youth": {"(0, 1)": "black youth"}, "other youth": {"(0, 2)": "other youth"}}, "left": {"bottom quintile of family income": {"(15, 0)": "first"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(15, 2)": 20.0, "(15, 1)": 37.0}}} | [
"=B18/C18"
] | {"B18": "(15, 1)", "C18": "(15, 2)"} | socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006 | <table><caption>socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">black youth</th><th colspan="1" rowspan="1">other youth</th></tr></thead><tbody><tr><th rowspan="46">percent</th><th rowspan="2">plac... | {"title": "socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "black youth", "value": "black youth", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "ot... |
081ae9fb9987dd3b431e25699f174485 | 987 | statcan | 5693 | 1 | black youth were less likely than other youth to live in a dwelling owned by a household member. | who were less likely to live in a dwelling owned by a household member. | [
"black youth"
] | [
"sum",
"pair-argmin"
] | {"entity_link": {"top": {"black youth": {"(0, 1)": "black youth"}, "other youth": {"(0, 2)": "other youth"}, "[ANSWER]": {"(0, 1)": "black youth"}}, "left": {}, "top_left_corner": {}}, "quantity_link": {}} | [
"Black youth"
] | {} | socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006 | <table><caption>socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">black youth</th><th colspan="1" rowspan="1">other youth</th></tr></thead><tbody><tr><th rowspan="46">percent</th><th rowspan="2">plac... | {"title": "socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "black youth", "value": "black youth", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "ot... |
d0a9cc1add14929f3ad2645fac42396c | 987 | statcan | 5694 | 1 | 45% of black youth lived with only one parent in 2006, compared with 17% of other youth. | what were the percentages of black youth and other youth who lived with only one parent in 2006 respectively? | [
"45.0",
"17.0"
] | [
"none"
] | {"entity_link": {"top": {"black youth": {"(0, 1)": "black youth"}, "other youth": {"(0, 2)": "other youth"}}, "left": {"lived with only one parent": {"(31, 0)": "lone parent"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(31, 1)": 45.0, "(31, 2)": 17.0}}} | [
"=B34",
"=C34"
] | {"B34": "(31, 1)", "C34": "(31, 2)"} | socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006 | <table><caption>socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">black youth</th><th colspan="1" rowspan="1">other youth</th></tr></thead><tbody><tr><th rowspan="46">percent</th><th rowspan="2">plac... | {"title": "socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "black youth", "value": "black youth", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "ot... |
9654c505625a80f6381c221e11ad778f | 987 | statcan | 5696 | 1 | the majority of black youth in this cohort were born in canada. | what were the percentages of black youth and other youth who were born in canada respectively? | [
"82.0",
"92.0"
] | [
"none"
] | {"entity_link": {"top": {"black youth": {"(0, 1)": "black youth"}, "other youth": {"(0, 2)": "other youth"}}, "left": {"born in canada": {"(3, 0)": "canada"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(3, 1)": 82.0, "(3, 2)": 92.0}}} | [
"=B6",
"=C6"
] | {"B6": "(3, 1)", "C6": "(3, 2)"} | socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006 | <table><caption>socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">black youth</th><th colspan="1" rowspan="1">other youth</th></tr></thead><tbody><tr><th rowspan="46">percent</th><th rowspan="2">plac... | {"title": "socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "black youth", "value": "black youth", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "ot... |
03fcac51ca449c9ec718cad211c07424 | 987 | statcan | 5697 | 1 | a higher proportion of black youth had an immigrant background, meaning that they had parents born outside canada. | who had a higher proportion for an immigrant background,meaning that they had parents born outside canada,black youth or other youth? | [
"black youth"
] | [
"pair-argmax"
] | {"entity_link": {"top": {"black youth": {"(0, 1)": "black youth"}, "other youth": {"(0, 2)": "other youth"}, "[ANSWER]": {"(0, 1)": "black youth"}}, "left": {"had parents born outside canada": {"(7, 0)": "other country"}}, "top_left_corner": {}}, "quantity_link": {}} | [
"=B3"
] | {"B3": "(0, 1)"} | socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006 | <table><caption>socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006</caption><thead><tr><th colspan="3" rowspan="1"></th><th colspan="1" rowspan="1">black youth</th><th colspan="1" rowspan="1">other youth</th></tr></thead><tbody><tr><th rowspan="46">percent</th><th rowspan="2">plac... | {"title": "socioeconomic characteristics in 2006 of black youth and other youth aged 9 to 17 in 2006", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "black youth", "value": "black youth", "type": "string", "children_dict": [], "line_idx": 0}, {"name": "ot... |
50fb5a932f316c366c7423a5d7d541e1 | 988 | statcan | 5699 | 1 | young black women were twice as likely as young black men to have a university degree. | what were the percentages of black women and black men who had a university degree rspectively? | [
"34.0",
"17.0"
] | [
"none"
] | {"entity_link": {"top": {"have a university degree": {"(1, 5)": "university degree"}}, "left": {}, "top_left_corner": {}}, "quantity_link": {"black women": {"(6, 5)": 34.0}, "black men": {"(5, 5)": 17.0}, "[ANSWER]": {"(6, 5)": 34.0, "(5, 5)": 17.0}}} | [
"=F9",
"=F8"
] | {"F9": "(6, 5)", "F8": "(5, 5)"} | percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education | <table><caption>percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education</caption><thead><tr><th colspan="3" rowspan="3"></th><th colspan="6" rowspan="1">type of diploma in 2016</th></tr><tr><th colspan="2" rowspan... | {"title": "percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "type of diploma in 2016", "value... |
223fbf970183c4efc0436e2535c3948b | 988 | statcan | 5700 | 1 | among other youth,young women were 1.6 times more likely than young men to have a university degree. | among other youth,what was the multiple relationship between women and men who had a university degree? | [
"1.576923"
] | [
"div"
] | {"entity_link": {"top": {"other youth": {"(2, 6)": "other"}, "have a university degree": {"(1, 5)": "university degree"}}, "left": {"women": {"(6, 0)": "women"}, "men": {"(5, 0)": "men"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(5, 6)": 26.0, "(6, 6)": 41.0}}} | [
"=G9/G8"
] | {"G9": "(6, 6)", "G8": "(5, 6)"} | percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education | <table><caption>percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education</caption><thead><tr><th colspan="3" rowspan="3"></th><th colspan="6" rowspan="1">type of diploma in 2016</th></tr><tr><th colspan="2" rowspan... | {"title": "percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "type of diploma in 2016", "value... |
2e5a329e94518dbe4859e340f723eccb | 988 | statcan | 5702 | 1 | among black youth who had at least one parent with a university degree (bachelor's degree or higher), 47% also held such a degree in 2016, compared with 57% of other youth. | among youth who had at least one parent with a university degree (bachelor's degree or higher),what were the percentages of black youth and other youth who also held such a degree respectively? | [
"47.0",
"57.0"
] | [
"none"
] | {"entity_link": {"top": {"black youth": {"(2, 5)": "black"}, "other youth who held such a degree": {"(2, 6)": "other"}}, "left": {"youth who had at least one parent with a university degree": {"(13, 0)": "bachelor's degree or higher"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(13, 5)": 47.0, "(13, 6)": ... | [
"=F16",
"=G16"
] | {"F16": "(13, 5)", "G16": "(13, 6)"} | percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education | <table><caption>percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education</caption><thead><tr><th colspan="3" rowspan="3"></th><th colspan="6" rowspan="1">type of diploma in 2016</th></tr><tr><th colspan="2" rowspan... | {"title": "percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "type of diploma in 2016", "value... |
074a011c7f8db99da4ffad820f70c2da | 988 | statcan | 5704 | 1 | other youth with other-countries-born parents were more likely to have a university degree than other youth with canadian-born parents. | who were more likely to have a university degree,other youth with other-countries-born parents or other youth with canadian-born parents. | [
"other countries"
] | [
"pair-argmax"
] | {"entity_link": {"top": {"other youth": {"(2, 6)": "other"}}, "left": {"with other-countries-born parents": {"(9, 0)": "other countries"}, "with canadian-born parents": {"(8, 0)": "canada"}, "[ANSWER]": {"(9, 0)": "other countries"}}, "top_left_corner": {}}, "quantity_link": {}} | [
"=A12"
] | {"A12": "(9, 0)"} | percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education | <table><caption>percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education</caption><thead><tr><th colspan="3" rowspan="3"></th><th colspan="6" rowspan="1">type of diploma in 2016</th></tr><tr><th colspan="2" rowspan... | {"title": "percentage of youth aged 9 to 17 in 2006 who had a certificate, diploma or degree in 2016, by sex, parents' place of birth and parents' highest level of education", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "type of diploma in 2016", "value... |
1f207c84ea49b2f5955942961732e5e9 | 98_50_nsf19317-tab003 | nsf | 149 | 1 | researchers in china collaborated on about 24% of u.s. internationally coauthored articles in 2017. u.s. | how many percent of u.s. internationally coauthored articles in 2017. u.s. did researchers in china collaborate on? | [
"24.1"
] | [
"none"
] | {"entity_link": {"top": {"u.s. internationally coauthored articles": {"(0, 2)": "share of u.s. international articles coauthored with country"}}, "left": {"china": {"(2, 0)": "china"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(2, 2)": 24.1}}} | [
"=C5"
] | {"C5": "(2, 2)"} | table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017 | <table><caption>table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017</caption><thead><tr><th colspan="2" rowspan="1"></th><th colspan="1" rowspan="1">share of world's or country's international articles coauthored with the united states</th>... | {"title": "table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "share of world's or country's international articles coauthored... |
8826ca1b30de12fccb1b4fac453c01c4 | 98_50_nsf19317-tab003 | nsf | 150 | 1 | authors also had substantial collaboration with authors from the united kingdom. | how many percent did authors have substantial collaboration with authors from the united kingdom? | [
"13.4"
] | [
"none"
] | {"entity_link": {"top": {}, "left": {"united kingdom": {"(3, 0)": "united kingdom"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(3, 2)": 13.4}}} | [
"=C6"
] | {"C6": "(3, 2)"} | table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017 | <table><caption>table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017</caption><thead><tr><th colspan="2" rowspan="1"></th><th colspan="1" rowspan="1">share of world's or country's international articles coauthored with the united states</th>... | {"title": "table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "share of world's or country's international articles coauthored... |
0f7f1fc8d0a8bc81cc472e4d220be6c6 | 98_50_nsf19317-tab003 | nsf | 150 | 2 | authors also had substantial collaboration with authors from germany. | how many percent did authors have substantial collaboration with authors from germany? | [
"11.1"
] | [
"none"
] | {"entity_link": {"top": {}, "left": {"germany": {"(4, 0)": "germany"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(4, 2)": 11.1}}} | [
"=C7"
] | {"C7": "(4, 2)"} | table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017 | <table><caption>table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017</caption><thead><tr><th colspan="2" rowspan="1"></th><th colspan="1" rowspan="1">share of world's or country's international articles coauthored with the united states</th>... | {"title": "table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "share of world's or country's international articles coauthored... |
fd14f90970ae4935c5f7fa8c5ad21724 | 98_50_nsf19317-tab003 | nsf | 150 | 3 | authors also had substantial collaboration with authors from canada. | how many percent did authors have substantial collaboration with authors from canada? | [
"10.2"
] | [
"none"
] | {"entity_link": {"top": {}, "left": {"canada": {"(5, 0)": "canada"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(5, 2)": 10.2}}} | [
"=C8"
] | {"C8": "(5, 2)"} | table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017 | <table><caption>table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017</caption><thead><tr><th colspan="2" rowspan="1"></th><th colspan="1" rowspan="1">share of world's or country's international articles coauthored with the united states</th>... | {"title": "table 3. international coauthorship of science and engineering articles with the united states, by world and selected country: 2017", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "share of world's or country's international articles coauthored... |
60d19338019972d0423f088958a09dc3 | 99 | statcan | 403 | 1 | in 2011, the majority of french-language workers in the agri-food sector were catholic: 79.0% of workers in eastern ontario, and 89.5% of workers in northern ontario. | in 2011, what percent of french-language workers in the agri-food sector were catholic in eastern ontario, and in northern ontario respectively? | [
"79",
"89.5"
] | [
"none"
] | {"entity_link": {"top": {"french-language workers": {"(1, 1)": "french-language workers"}, "eastern ontario": {"(0, 1)": "eastern ontario"}, "northern ontario": {"(0, 3)": "northern ontario"}}, "left": {"catholic": {"(9, 0)": "catholic"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(9, 1)": 79.0, "(9, 3)":... | [
"=B12",
"=D12"
] | {"B12": "(9, 1)", "D12": "(9, 3)"} | place of birth and religion by fols of workers in the agri-food sector aged 15 years and over, two agricultural regions of ontario, 2011 | <table><caption>place of birth and religion by fols of workers in the agri-food sector aged 15 years and over, two agricultural regions of ontario, 2011</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="2" rowspan="1">eastern ontario</th><th colspan="2" rowspan="1">northern ontario</th></tr><tr><th cols... | {"title": "place of birth and religion by fols of workers in the agri-food sector aged 15 years and over, two agricultural regions of ontario, 2011", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "eastern ontario", "value": "eastern ontario", "type": "str... |
3278752866964ae82098ee0104133360 | 991 | statcan | 5718 | 1 | the overall percentage is 99% of the input-output based trade levels. | what was the overall percentage of the input-output based trade levels? | [
"99.0"
] | [
"none"
] | {"entity_link": {"top": {}, "left": {"overall percentage": {"(11, 0)": "total"}}, "top_left_corner": {}}, "quantity_link": {"[ANSWER]": {"(11, 8)": 99.0}}} | [
"=I14"
] | {"I14": "(11, 8)"} | benchmarked intraprovincial and interprovincial flows as a share of actual interprovincial flows | <table><caption>benchmarked intraprovincial and interprovincial flows as a share of actual interprovincial flows</caption><thead><tr><th colspan="3" rowspan="2"></th><th colspan="8" rowspan="1">destination</th></tr><tr><th colspan="1" rowspan="1">atlantic canada</th><th colspan="1" rowspan="1">que</th><th colspan="1" r... | {"title": "benchmarked intraprovincial and interprovincial flows as a share of actual interprovincial flows", "top_root": {"name": "<TOP>", "value": "<TOP>", "type": "string", "line_idx": null, "children_dict": [{"name": "destination", "value": "destination", "type": "string", "children_dict": [{"name": "atlantic canad... |
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