original_dataset_id stringlengths 32 32 | dataset_name stringclasses 1 value | table stringlengths 303 14.6k | table_title null | text stringclasses 18 values | question stringlengths 36 315 | answer stringlengths 1 443 |
|---|---|---|---|---|---|---|
682533d22442892ff958f52e5523cead | tablebench-tqa | {'columns': ['year', 'matches', 'wins', 'losses', 'no result', 'tied', 'success rate'], 'data': [['2008', '16', '9', '7', '0', '0', '56.25%'], ['2009', '15', '8', '6', '1', '0', '53.33%'], ['2010', '16', '9', '7', '0', '0', '56.25%'], ['2011', '16', '11', '5', '0', '0', '68.75%'], ['2012', '19', '19', '11', '8', '0', '52.63%'], ['2013', '18', '12', '6', '0', '0', '66.67%'], ['total', '99', '59', '39', '1', '0', '60.2%']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | In which year did the team achieve the highest success rate? | 2011 |
6c43b934f20ce71710bfb837d0fbc556 | tablebench-tqa | {'columns': ['Year', 'Injuries (US $000)', 'Deaths (age <15)', 'CPSC toy safety funding\n(US$ Millions)', 'Toy sales\n(US $ Billions)'], 'data': [['1994', '154', None, None, None], ['1995', '139', None, None, None], ['1996', '130', None, None, None], ['1997', '141', None, None, None], ['1998', '153', '14.0', None, None], ['1999', '152', '16.0', '13.6', None], ['2000', '191', '17.0', '12.0', None], ['2001', '255', '25.0', '12.4', None], ['2002', '212', '13.0', '12.2', '21.3'], ['2003', '206', '11.0', '12.8', '20.7'], ['2004', '210', '16.0', '11.5', '22.4'], ['2005', '202 (estimate)', '20.0', '11.0', '22.2'], ['2006', 'no data', '22.0', 'no data†', '22.3'], ['2007', 'no data', '22.0', 'no data', None], ['2008', 'no data', '19.0', 'no data', None], ['2009', 'no data', '12.0', 'no data', None]]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which year had the highest number of injuries (in thousands of US dollars) according to the provided data? | 2001 |
f26088bc16a0ad142dc69de97dfd6227 | tablebench-tqa | {'columns': ['solution', 'other name', '(mmol / l)', '(mmol / l).1', '(mmol / l).2', '(mg / dl)'], 'data': [['d5w', '5% dextrose', '0', '0', '278', '5000'], ['2 / 3d & 1 / 3s', '3.3% dextrose / 0.3% saline', '51', '51', '185', '3333'], ['half - normal saline', '0.45% nacl', '77', '77', '0', '0'], ['normal saline', '0.9% nacl', '154', '154', '0', '0'], ["ringer 's lactate", 'lactated ringer', '130', '109', '0', '0'], ['d5ns', '5% dextrose , normal saline', '154', '154', '278', '5000']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which solution has the highest concentration in mmol/L, considering the values in the '(mmol / l)' column? | normal saline, d5ns |
fcab7ee2a7af6e69d38af98c9e830fdb | tablebench-tqa | {'columns': ['locomotive', 'type', 'builder', "builder 's no", 'built', 'entered service', 'withdrawn'], 'data': [['2', '0 - 6 - 0st', 'beyer peacock & co', '2575', '1884', '1884', '1938'], ['3', '0 - 6 - 0st', 'beyer peacock & co', '4558', '1903', '1903', '1920'], ['62xx', '0 - 6 - 0', 'robert stephenson and company', '2195', '1874', '1903', '1927'], ['2020', '2 - 6 - 4t', 'beyer peacock & co', '3206', '1891', '1834', '1955'], ['2017', '2 - 6 - 4t', 'beyer peacock & co', '3289', '1891', '1939', '1956'], ['1', '2 - 6 - 2t', 'robert stephenson and hawthorns', 'e7841', '1955', '1955', '1967'], ['j & a brown 26', '2 - 6 - 4t', 'beyer peacock & co', '2567', '1885', '1967', '1967'], ['3013', '4 - 6 - 4t', 'beyer peacock & co', '4456', '1903', '1967', '1976']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which locomotive was built in the earliest year, and how is the difference of its build year compared to the locomotive built in the latest year? | 62xx, 81 |
b878f1ad3f7646fcd7ede1bc02533f33 | tablebench-tqa | {'columns': ['Election year', '# of\nconstituency votes', '% of\nconstituency votes', '+/–', '# of\nparty list votes', '% of\nparty list votes', '+/–.1', '# of\noverall seats won'], 'data': [['1965', '587,216', '1.8', '1.8', '664,193', '2.0', '2.0', '0 / 518'], ['1969', '1,189,375', '3.6', '1.8', '1,422,010', '4.3', '2.3', '0 / 518'], ['1972', '194,389', '0.5', '3.1', '207,465', '0.6', '3.7', '0 / 518'], ['1976', '136.023', '0.4', '0.1', '122,661', '0.3', '0.3', '0 / 518'], ['1980', None, None, None, '68,096', '0.2', '0.1', '0 / 497'], ['1983', '57,112', '0.1', '0.3', '91,095', '0.2', '0.0', '0 / 498'], ['1987', '182,880', '0.5', '0.4', '227,054', '0.6', '0.4', '0 / 497'], ['1990', '190,105', '0.4', '0.1', '145,776', '0.3', '0.3', '0 / 662'], ['1998', '45,043', '0.1', '0.3', '126,571', '0.3', '0.0', '0 / 669'], ['2002', '103,209', '0.1', '0.1', '215,232', '0.4', '0.1', '0 / 603'], ['2005', '857.777', '1.8', '1.6', '748,568', '1.6', '1.2', '0 / 614'], ['2009', '768,442', '1.8', '0.0', '635,525', '1.5', '0.1', '0 / 620'], ['2013', '634,842', '1.5', '0.3', '560,660', '1.3', '0.2', '0 / 630']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which election year had the highest percentage of party list votes? | 1969 |
926953d2c2640b01dd912b3f8d58a5bf | tablebench-tqa | {'columns': ['STAPLE:', 'Maize / Corn', 'Rice', 'Wheat', 'Potato', 'Cassava', 'Soybean (Green)', 'Sweet potato', 'Sorghum', 'Yam', 'Plantain'], 'data': [['Component (per 100g portion)', 'Amount', 'Amount', 'Amount', 'Amount', 'Amount', 'Amount', 'Amount', 'Amount', 'Amount', 'Amount'], ['Water (g)', '10', '12', '13', '79', '60', '68', '77', '9', '70', '65'], ['Energy (kJ)', '1528', '1528', '1369', '322', '670', '615', '360', '1419', '494', '511'], ['Protein (g)', '9.4', '7.1', '12.6', '2.0', '1.4', '13.0', '1.6', '11.3', '1.5', '1.3'], ['Fat (g)', '4.74', '0.66', '1.54', '0.09', '0.28', '6.8', '0.05', '3.3', '0.17', '0.37'], ['Carbohydrates (g)', '74', '80', '71', '17', '38', '11', '20', '75', '28', '32'], ['Fiber (g)', '7.3', '1.3', '12.2', '2.2', '1.8', '4.2', '3', '6.3', '4.1', '2.3'], ['Sugar (g)', '0.64', '0.12', '0.41', '0.78', '1.7', '0', '4.18', '0', '0.5', '15'], ['Calcium (mg)', '7', '28', '29', '12', '16', '197', '30', '28', '17', '3'], ['Iron (mg)', '2.71', '0.8', '3.19', '0.78', '0.27', '3.55', '0.61', '4.4', '0.54', '0.6'], ['Magnesium (mg)', '127', '25', '126', '23', '21', '65', '25', '0', '21', '37'], ['Phosphorus (mg)', '210', '115', '288', '57', '27', '194', '47', '287', '55', '34'], ['Potassium (mg)', '287', '115', '363', '421', '271', '620', '337', '350', '816', '499'], ['Sodium (mg)', '35', '5', '2', '6', '14', '15', '55', '6', '9', '4'], ['Zinc (mg)', '2.21', '1.09', '2.65', '0.29', '0.34', '0.99', '0.3', '0', '0.24', '0.14'], ['Copper (mg)', '0.31', '0.22', '0.43', '0.11', '0.10', '0.13', '0.15', '-', '0.18', '0.08'], ['Manganese (mg)', '0.49', '1.09', '3.99', '0.15', '0.38', '0.55', '0.26', '-', '0.40', '-'], ['Selenium (μg)', '15.5', '15.1', '70.7', '0.3', '0.7', '1.5', '0.6', '0', '0.7', '1.5'], ['Vitamin C (mg)', '0', '0', '0', '19.7', '20.6', '29', '2.4', '0', '17.1', '18.4'], ['Thiamin (mg)', '0.39', '0.07', '0.30', '0.08', '0.09', '0.44', '0.08', '0.24', '0.11', '0.05'], ['Riboflavin (mg)', '0.20', '0.05', '0.12', '0.03', '0.05', '0.18', '0.06', '0.14', '0.03', '0.05'], ['Niacin (mg)', '3.63', '1.6', '5.46', '1.05', '0.85', '1.65', '0.56', '2.93', '0.55', '0.69'], ['Pantothenic acid (mg)', '0.42', '1.01', '0.95', '0.30', '0.11', '0.15', '0.80', '-', '0.31', '0.26'], ['Vitamin B6 (mg)', '0.62', '0.16', '0.3', '0.30', '0.09', '0.07', '0.21', '-', '0.29', '0.30'], ['Folate Total (μg)', '19', '8', '38', '16', '27', '165', '11', '0', '23', '22'], ['Vitamin A (IU)', '214', '0', '9', '2', '13', '180', '14187', '0', '138', '1127'], ['Vitamin E, alpha-tocopherol (mg)', '0.49', '0.11', '1.01', '0.01', '0.19', '0', '0.26', '0', '0.39', '0.14'], ['Vitamin K1 (μg)', '0.3', '0.1', '1.9', '1.9', '1.9', '0', '1.8', '0', '2.6', '0.7'], ['Beta-carotene (μg)', '97', '0', '5', '1', '8', '0', '8509', '0', '83', '457'], ['Lutein+zeaxanthin (μg)', '1355', '0', '220', '8', '0', '0', '0', '0', '0', '30'], ['Saturated fatty acids (g)', '0.67', '0.18', '0.26', '0.03', '0.07', '0.79', '0.02', '0.46', '0.04', '0.14'], ['Monounsaturated fatty acids (g)', '1.25', '0.21', '0.2', '0.00', '0.08', '1.28', '0.00', '0.99', '0.01', '0.03'], ['Polyunsaturated fatty acids (g)', '2.16', '0.18', '0.63', '0.04', '0.05', '3.20', '0.01', '1.37', '0.08', '0.07']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which staple food has the highest amount of Copper (mg) per 100g portion? | Wheat |
20f1697077ffa4073a621235d1da13c6 | tablebench-tqa | {'columns': ['name', 'latitude', 'longitude', 'diameter (km)', 'named after'], 'data': [['caccini', '17.4', '170.4', '38.1', 'francesca caccini , italian composer'], ['caitlin', '- 65.3', '12.0', '14.7', 'irish first name'], ['caiwenji', '- 12.4', '287.6', '22.6', 'cai wenji , chinese poet'], ['caldwell', '23.6', '112.4', '51.0', 'taylor caldwell , american author'], ['callas', '2.4', '27.0', '33.8', 'maria callas , american singer'], ['callirhoe', '21.2', '140.7', '33.8', 'callirhoe , greek sculptor'], ['caroline', '6.9', '306.3', '18.0', 'french first name'], ['carr', '- 24', '295.7', '31.9', 'emily carr , canadian artist'], ['carreno', '- 3.9', '16.1', '57.0', 'teresa carreño , n venezuela pianist'], ['carson', '- 24.2', '344.1', '38.8', 'rachel carson , american biologist'], ['carter', '5.3', '67.3', '17.5', 'maybelle carter , american singer'], ['castro', '3.4', '233.9', '22.9', 'rosalía de castro , galician poet'], ['cather', '47.1', '107.0', '24.6', 'willa cather , american novelist'], ['centlivre', '19.1', '290.4', '28.8', 'susanna centlivre , english actress'], ['chapelle', '6.4', '103.8', '22.0', 'georgette chapelle , american journalist'], ['chechek', '- 2.6', '272.3', '7.2', 'tuvan first name'], ['chiyojo', '- 47.8', '95.7', '40.2', 'chiyojo , japanese poet'], ['chloe', '- 7.4', '98.6', '18.6', 'greek first name'], ['cholpon', '40', '290.0', '6.3', 'kyrgyz first name'], ['christie', '28.3', '72.7', '23.3', 'agatha christie , english author'], ['chubado', '45.3', '5.6', '7.0', 'fulbe first name'], ['clara', '- 37.5', '235.3', '3.2', 'latin first name'], ['clementina', '35.9', '208.6', '4.0', 'portuguese form of clementine , french first name'], ['cleopatra', '65.8', '7.1', '105.0', 'cleopatra , egyptian queen'], ['cline', '- 21.8', '317.1', '38.0', 'patsy cline , american singer'], ['clio', '6.3', '333.5', '11.4', 'greek first name'], ['cochran', '51.9', '143.4', '100.0', 'jacqueline cochran , american aviator'], ['cohn', '- 33.3', '208.1', '18.3', 'carola cohn , australian artist'], ['colleen', '- 60.8', '162.2', '13.5', 'irish first name'], ['comnena', '1.2', '343.7', '19.5', 'anna comnena , byzantine princess and writer'], ['conway', '48.3', '39.0', '49.3', 'lady anne finch conway , english natural scientist'], ['cori', '25.4', '72.9', '56.1', 'gerty cori , czech biochemist'], ['corinna', '22.9', '40.6', '19.2', 'corinna , greek poet'], ['corpman', '0.3', '151.8', '46.0', 'elizabeth koopman hevelius , astronomer'], ['cortese', '- 11.4', '218.4', '27.7', 'isabella cortese , italian physician'], ['cotton', '70.8', '300.2', '48.1', 'eugénie cotton , french physicist'], ['cunitz', '14.5', '350.9', '48.6', 'maria cunitz , silesian astronomer'], ['cynthia', '- 16.7', '347.5', '15.9', 'greek first name']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which crater has the largest diameter? | cleopatra |
8d2c0f071a634bd6233252d4a2f97d91 | tablebench-tqa | {'columns': ['chambering', 'p1 diameter (mm)', 'a external (cm 2 )', 'p max ( bar )', 'f bolt ( kgf )', 'f bolt'], 'data': [['.22 long rifle', '5.74', '0.2587', '1650', '435', 'n (lbf)'], ['9x19 mm parabellum', '9.93', '0.7744', '2350', '1820', 'n ( lbf )'], ['.357 sig', '10.77', '0.911', '3050', '2779', 'n (lbf)'], ['.380 acp', '9.7', '0.739', '1500', '1130', 'n (lbf)'], ['.40 s&w', '10.77', '0.911', '2250', '2050', 'n (lbf)'], ['10 mm auto', '10.81', '0.9178', '2300', '2111', 'n (lbf)'], ['.45 acp', '12.09', '1.1671', '1300', '1517', 'n (lbf)'], ['.454 casull', '12.13', '1.1556', '3900', '4507', 'n (lbf)']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which chambering has the highest maximum pressure (p max) in bars? | .454 casull |
cfc333f2e1854df6737ffb8535ee51e5 | tablebench-tqa | {'columns': ['country', 'orphans as % of all children', 'aids orphans as % of orphans', 'total orphans (total)', 'total orphans (aids related)', 'maternal (total)', 'maternal (aids related)', 'paternal (total)', 'paternal (aids related)', 'double (total)', 'double (aids related)'], 'data': [['botswana (1990)', '5.9', '3.0', '34000', '1000', '14000', '< 100', '23000', '1000', '2000', '< 100'], ['botswana (1995)', '8.3', '33.7', '52000', '18000', '19000', '7000', '37000', '13000', '5000', '3000'], ['botswana (2001)', '15.1', '70.5', '98000', '69000', '69000', '58000', '91000', '69000', '62000', '61000'], ['lesotho (1990)', '10.6', '2.9', '73000', '< 100', '31000', '< 100', '49000', '< 100', '8000', '< 100'], ['lesotho (1995)', '10.3', '5.5', '77000', '4000', '31000', '1000', '52000', '4000', '7000', '1000'], ['lesotho (2001)', '17.0', '53.5', '137000', '73000', '66000', '38000', '108000', '63000', '37000', '32000'], ['malawi (1990)', '11.8', '5.7', '524000', '30000', '233000', '11000', '346000', '23000', '55000', '6000'], ['malawi (1995)', '14.2', '24.6', '664000', '163000', '305000', '78000', '442000', '115000', '83000', '41000'], ['malawi (2001)', '17.5', '49.9', '937000', '468000', '506000', '282000', '624000', '315000', '194000', '159000'], ['uganda (1990)', '12.2', '17.4', '1015000', '177000', '437000', '72000', '700000', '138000', '122000', '44000'], ['uganda (1995)', '14.9', '42.4', '1456000', '617000', '720000', '341000', '1019000', '450000', '282000', '211000'], ['uganda (2001)', '14.6', '51.1', '1731000', '884000', '902000', '517000', '1144000', '581000', '315000', '257000']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which country had the highest percentage of orphans as a percentage of all children in 2001? | malawi (2001) |
cb0e9191e00b1c14c4245fa8c0a04efd | tablebench-tqa | {'columns': ['party', 'administrative panel', 'agricultural panel', 'cultural and educational panel', 'industrial and commercial panel', 'labour panel', 'national university of ireland', 'university of dublin', 'nominated by the taoiseach', 'total'], 'data': [['fianna fáil', '2', '3', '2', '2', '2', '1', '0', '0', '12'], ['fine gael', '1', '2', '2', '3', '0', '1', '0', '2', '11'], ['labour party', '0', '2', '1', '1', '3', '0', '0', '2', '9'], ['clann na talmhan', '1', '1', '0', '0', '1', '0', '0', '0', '3'], ['clann na poblachta', '0', '0', '0', '0', '0', '0', '0', '2', '1'], ['independent', '1', '1', '0', '1', '1', '1', '3', '5', '14'], ['total', '7', '11', '5', '9', '11', '3', '3', '11', '60']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which party has the highest total number of seats across all panels? | independent |
07e3784215d49f389b838de4b2f8ff08 | tablebench-tqa | {'columns': ['Country', 'Amphibians', 'Birds', 'Mammals', 'Reptile', 'Total terrestrial vertebrates', 'Vascular plants', 'Biodiversity'], 'data': [['Belize', '46', '544', '147', '140', '877', '2894', '3771'], ['Costa Rica', '183', '838', '232', '258', '1511', '12119', '13630'], ['El Salvador', '30', '434', '137', '106', '707', '2911', '3618'], ['Guatemala', '133', '684', '193', '236', '1246', '8681', '9927'], ['Honduras', '101', '699', '201', '213', '1214', '5680', '6894'], ['Nicaragua', '61', '632', '181', '178', '1052', '7590', '8642'], ['Panama', '182', '904', '241', '242', '1569', '9915', '11484']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which country has the highest 'Total terrestrial vertebrates', and how is the difference compared to the country with the lowest? | Panama, 862 |
2b669ab729a6f80978bb96a605eebf5c | tablebench-tqa | {'columns': ['School', '2007', '2008', '2009', '2010', '2011'], 'data': [['Francisco Bravo Medical Magnet High School', '807.0', '818', '815', '820', '832.0'], ['Marc and Eva Stern Math and Science School', '718.0', '792', '788', '788', '809.0'], ['Oscar De La Hoya Animo Charter High School', '662.0', '726', '709', '710', '744.0'], ['James A. Garfield High School', '553.0', '597', '593', '632', '705.0'], ['Abraham Lincoln High School', '594.0', '609', '588', '616', '643.0'], ['Woodrow Wilson High School', '582.0', '585', '600', '615', '636.0'], ['Theodore Roosevelt High School', '557.0', '551', '576', '608', None], ['Thomas Jefferson High School', '457.0', '516', '514', '546', '546.0'], ['Santee Education Complex', None, '502', '521', '552', '565.0']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which high school showed the greatest increase in numerical value from 2007 to 2011? | James A. Garfield High School |
260a34f57017a544911195cfb1908186 | tablebench-tqa | {'columns': ['institution', 'location', 'founded', 'enrollment', 'nickname', 'varsity sports', 'joined'], 'data': [['college of idaho', 'caldwell , idaho (31041)', '1891', '1042', 'coyotes', '17', '1988'], ['concordia university', 'portland , oregon (538554)', '1905', '3111', 'cavaliers', '13', '1988'], ['corban university', 'salem , oregon (142914)', '1935', '1160', 'warriors', '13', '1988'], ['eastern oregon university', 'la grande , oregon (12282)', '1929', '3743', 'mountaineers', '10', '1988'], ['the evergreen state college', 'olympia , washington (44114)', '1967', '4509', 'geoducks', '8', '1999'], ['northwest university', 'kirkland , washington (45814)', '1934', '1280', 'eagles', '9', '1997'], ['northwest christian university', 'eugene , oregon (142185)', '1895', '1290', 'beacons', '12', '2007'], ['oregon institute of technology', 'klamath falls , oregon (20840)', '1947', '3927', 'owls', '9', '1988'], ['southern oregon university', 'ashland , oregon (20406)', '1882', '6744', 'raiders', '12', '1988'], ['warner pacific college', 'portland , oregon (538554)', '1937', '1333', 'knights', '9', '1999']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which institution has the highest enrollment? | southern oregon university |
666b1d906e698c14c9fabe3d2d383be9 | tablebench-tqa | {'columns': ['squad no', 'name', 'position', 'league apps', 'league goals', 'fa cup apps', 'fa cup goals', 'league cup apps', 'league cup goals', 'flt apps', 'flt goals', 'total apps', 'total goals'], 'data': [['2', 'andy holdsworth', 'df', '43 (1)', '3', '5', '0', '0', '0', '1', '0', '49 (1)', '3'], ['3', 'joe skarz', 'df', '22 (5)', '0', '2 (1)', '0', '1', '0', '1', '0', '26 (6)', '0'], ['4', 'michael collins', 'mf', '35 (6)', '2', '3 (2)', '1', '1', '0', '1', '1', '40 (8)', '4'], ['5', 'david mirfin', 'df', '23 (6)', '1', '3 (1)', '0', '1', '0', '0', '0', '27 (7)', '1'], ['6', 'nathan clarke', 'df', '44', '2', '4', '0', '1', '0', '1', '0', '50', '2'], ['7', 'chris brandon', 'mf', '25 (3)', '2', '2', '1', '1', '0', '1', '0', '29 (3)', '3'], ['8', 'jon worthington', 'mf', '19 (6)', '0', '1', '0', '1', '0', '0', '0', '21 (6)', '0'], ['9', 'danny cadamarteri', 'fw', '10 (2)', '3', '1 (1)', '0', '0', '0', '0', '0', '11 (3)', '3'], ['10', 'robbie williams', 'df', '24 (1)', '2', '3', '0', '0', '0', '0', '0', '27 (1)', '2'], ['11', 'danny schofield', 'mf', '19 (6)', '2', '4 (1)', '0', '1', '0', '1', '0', '25 (7)', '2'], ['12', 'tom clarke', 'df', '2 (1)', '0', '0', '0', '0', '0', '0 (1)', '0', '2 (2)', '0'], ['13', 'frank sinclair', 'df', '28 (1)', '0', '5', '0', '1', '0', '0', '0', '34 (1)', '0'], ['14', 'phil jevons', 'fw', '17 (4)', '7', '3 (1)', '2', '0', '0', '0', '0', '20 (5)', '9'], ['14', 'richard keogh', 'df', '9', '1', '0', '0', '0', '0', '1', '0', '10', '1'], ['15', 'malvin kamara', 'mf', '33 (10)', '3', '3 (2)', '2', '1', '0', '1', '0', '38 (12)', '5'], ['16', 'ronnie wallwork', 'mf', '16', '3', '2', '0', '0', '0', '0', '0', '18', '3'], ['17', 'matty young', 'mf', '4 (4)', '0', '0', '0', '0', '0', '0 (1)', '0', '4 (5)', '0'], ['18', 'luke beckett', 'fw', '25 (11)', '8', '3 (2)', '4', '1', '0', '1', '0', '30 (13)', '12'], ['19', 'aaron hardy', 'df', '5 (1)', '0', '0', '0', '0 (1)', '0', '1', '0', '6 (2)', '0'], ['20', 'danny racchi', 'df', '0 (3)', '0', '0', '0', '0', '0', '0', '0', '0 (3)', '0'], ['21', 'lucas akins', 'fw', '0 (3)', '0', '0', '0', '0', '0', '0 (1)', '0', '0 (4)', '0'], ['22', 'james berrett', 'mf', '10 (5)', '1', '2', '0', '0', '0', '0', '0', '12 (5)', '1'], ['23', 'andy booth', 'fw', '28 (10)', '9', '2 (1)', '0', '0 (1)', '0', '0', '0', '30 (12)', '9'], ['27', 'matt glennon', 'gk', '45', '0', '5', '0', '1', '0', '1', '0', '52', '0'], ['28', 'alex smithies', 'gk', '1 (1)', '0', '0', '0', '0', '0', '0', '0', '1 (1)', '0'], ['29', 'robert page', 'df', '18', '1', '2', '0', '0', '0', '0', '0', '20', '1'], ['31', 'shane killock', 'df', '1', '0', '0', '0', '0', '0', '0', '0', '1', '0'], ['32', 'daniel broadbent', 'fw', '0 (5)', '0', '0', '0', '0', '0', '0', '0', '0 (5)', '0']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which player has the highest total goals among all players in the table? | luke beckett |
cf3ad747caa0247ad77c95ead07d364f | tablebench-tqa | {'columns': ['election', 'dã¡il', 'share of votes', 'seats', 'total seats'], 'data': [['1927 (jun)', '5th', '26.2%', '44', '153'], ['1927 (sep)', '6th', '35.2%', '57', '153'], ['1932', '7th', '44.5%', '72', '153'], ['1933', '8th', '49.7%', '76', '153'], ['1937', '9th', '45.2%', '68', '138'], ['1938', '10th', '51.9%', '76', '138'], ['1943', '11th', '41.8%', '66', '138'], ['1944', '12th', '48.9%', '75', '138'], ['1948', '13th', '41.9%', '67', '147'], ['1951', '14th', '46.3%', '68', '147'], ['1954', '15th', '43.4%', '65', '147'], ['1957', '16th', '48.3%', '78', '147'], ['1961', '17th', '43.8%', '70', '144'], ['1965', '18th', '47.7%', '72', '144'], ['1969', '19th', '44.6%', '74', '144'], ['1973', '20th', '46.2%', '68', '144'], ['1977', '21st', '50.6%', '84', '148'], ['1981', '22nd', '45.3%', '77', '166'], ['1982 (feb)', '23rd', '47.3%', '81', '166'], ['1982 (nov)', '24th', '45.2%', '75', '166'], ['1987', '25th', '44.2%', '81', '166'], ['1989', '26th', '44.2%', '77', '166'], ['1992', '27th', '39.1%', '68', '166'], ['1997', '28th', '39.3%', '77', '166'], ['2002', '29th', '41.5%', '81', '166'], ['2007', '30th', '41.6%', '77', '166'], ['2011', '31st', '17.4%', '20', '166']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which election had the highest 'share of votes', and how is the difference compared to the election with the lowest? | 1938, 34.50% |
0c7c0eec637d1301f824d1e5069328d8 | tablebench-tqa | {'columns': ['Painter', 'Composition', 'Drawing', 'Color', 'Expression'], 'data': [['Andrea del Sarto', '12', '16', '9', '8'], ['Federico Barocci', '14', '15', '6', '10'], ['Jacopo Bassano', '6', '8', '17', '0'], ['Giovanni Bellini', '4', '6', '14', 'O'], ['Sebastian Bourdon', '10', '8', '8', '4'], ['Charles Le Brun', '16', '16', '8', '16'], ['I Carracci', '15', '17', '13', '13'], ["Cavalier D'Arpino", '10', '10', '6', '2'], ['Correggio', '13', '13', '15', '12'], ['Daniele da Volterra', '12', '15', '5', '8'], ['Abraham van Diepenbeeck', '11', '10', '14', '6'], ['Il Domenichino', '15', '17', '9', '17'], ['Albrecht Dürer', '8', '10', '10', '8'], ['Giorgione', '8', '9', '18', '4'], ['Giovanni da Udine', '10', '8', '16', '3'], ['Giulio Romano', '15', '16', '4', '14'], ['Guercino', '18', '10', '10', '4'], ['Guido Reni', 'x', '13', '9', '12'], ['Holbein', '9', '10', '16', '3'], ['Jacob Jordaens', '10', '8', '16', '6'], ['Lucas Jordaens', '13', '12', '9', '6'], ['Giovanni Lanfranco', '14', '13', '10', '5'], ['Leonardo da Vinci', '15', '16', '4', '14'], ['Lucas van Leyden', '8', '6', '6', '4'], ['Michelangelo', '8', '17', '4', '8'], ['Caravaggio', '6', '6', '16', 'O'], ['Murillo', '6', '8', '15', '4'], ['Otho Venius', '13', '14', '10', '10'], ['Palma il Vecchio', '5', '6', '16', '0'], ['Palma il Giovane', '12', '9', '14', '6'], ['Il Parmigianino', '10', '15', '6', '6'], ['Gianfrancesco Penni', 'O', '15', '8', '0'], ['Perin del Vaga', '15', '16', '7', '6'], ['Sebastiano del Piombo', '8', '13', '16', '7'], ['Primaticcio', '15', '14', '7', '10'], ['Raphael', '17', '18', '12', '18'], ['Rembrandt', '15', '6', '17', '12'], ['Rubens', '18', '13', '17', '17'], ['Francesco Salviati', '13', '15', '8', '8'], ['Eustache Le Sueur', '15', '15', '4', '15'], ['Teniers', '15', '12', '13', '6'], ['Pietro Testa', '11', '15', '0', '6'], ['Tintoretto', '15', '14', '16', '4'], ['Titian', '12', '15', '18', '6'], ['Van Dyck', '15', '10', '17', '13'], ['Vanius', '15', '15', '12', '13'], ['Veronese', '15', '10', '16', '3'], ['Taddeo Zuccari', '13', '14', '10', '9'], ['Federico Zuccari', '10', '10', '8', '8']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which painter has the highest Composition score among all the painters in the table? | Guercino, Rubens |
7648f00905c0673b773a2bf6ad1d8223 | tablebench-tqa | {'columns': ['Unnamed: 0', 'no', 'title', 'directed by', 'written by', 'viewers', 'original airdate', 'prod code'], 'data': [['13', '1', 'live and let doyle', 'james allodi', 'allan hawco', '1038000', 'january 12 , 2011', '201'], ['14', '2', 'popeye doyle', 'steve scaini', 'allan hawco', '944000', 'january 19 , 2011', '202'], ['15', '3', 'a stand up guy', 'steve scaini', 'perry chafe', '776000', 'january 26 , 2011', '203'], ['16', '4', 'the son also rises', 'steve dimarco', 'jesse mckeown', '899000', 'february 2 , 2011', '204'], ['17', '5', 'something old , someone blue', 'james allodi', 'adam higgs & jackie may', '854000', 'february 9 , 2011', '205'], ['18', '6', 'the ryans and the pittmans', 'steve dimarco', 'greg nelson', '843000', 'february 16 , 2011', '206'], ['19', '7', 'crashing on the couch', 'keith samples', 'jackie may', '760000', 'february 23 , 2011', '207'], ['20', '8', 'sympathy for the devil', 'stacey curtis', 'john callaghan', '834400', 'march 2 , 2011', '208'], ['21', '9', 'will the real des courtney please stand up', 'keith samples', 'greg nelson', '1026000', 'march 9 , 2011', '209'], ['22', '10', 'the special detective', 'steve scaini', 'adam higgs', '836000', 'march 16 , 2011', '210'], ['23', '11', "don't gamble with city hall", 'john vatcher', 'jackie may', '1021000', 'march 23 , 2011', '211'], ['24', '12', "st john 's town", 'keith samples', 'perry chafe', '730000', 'march 30 , 2011', '212']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which episode has the highest number of viewers? | live and let doyle |
fa409ae64ba45abe8542615ebf93a304 | tablebench-tqa | {'columns': ['economy', '1980', 'gap from thailand as of 1980 (times)', '1985', '1990', '1995', '2000', '2005', '2010', '2012', 'gap from thailand as of 2012 (times)', 'gdp as of 2012 after purchasing power parity (ppp) calculations (usd billions)', 'gdp per capita as of 2012 (ppp)'], 'data': [['china', '205', '0.29', '290', '341', '601', '945', '1726', '4422', '6076', '1.07', '12405.67', '9162'], ['hong kong', '5679', '8.16', '6442', '13330', '22939', '25128', '25748', '32429', '36667', '6.46', '369.38', '51494'], ['japan', '9309', '13.38', '11461', '25144', '42523', '37303', '35787', '42916', '46735', '8.23', '4627.89', '36265'], ['korea', '1689', '2.43', '2414', '6308', '11779', '11347', '17551', '20540', '23113', '4.07', '1613.92', '32272'], ['malaysia', '1812', '2.6', '2026', '2432', '4358', '4030', '5211', '8633', '10304', '1.81', '498.48', '16922'], ['singapore', '4756', '6.83', '6754', '12387', '23718', '22791', '28498', '44697', '51162', '9.01', '326.51', '60410'], ['taiwan', '2363', '3.4', '3271', '8086', '12865', '14641', '16023', '18488', '20328', '3.58', '903.47', '38749']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which economy had the highest GDP per capita as of 2012 (PPP)? | singapore |
2db548f48fdb4c88e453aa5013ee9448 | tablebench-tqa | {'columns': ['institution', 'location', 'established', 'gained university status', 'vice - chancellor', 'total number of students', 'research funding (000)'], 'data': [['birkbeck , university of london', 'london', '1823', '1920', 'professor david latchman', '19020', '9985'], ['university of east anglia', 'norwich', '1963', '1963', 'professor edward acton', '19585', '16482'], ['university of essex', 'colchester', '1964', '1964', 'professor anthony forster', '11690', '9967'], ['goldsmiths , university of london', 'london', '1891', '1904', 'dr pat loughrey', '7615', '8539'], ['institute of education , university of london', 'london', '1902', '1932', 'professor chris husbands', '7215', '7734'], ['university of lancaster', 'lancaster', '1964', '1964', 'professor mark smith', '12695', '18640'], ['university of leicester', 'leicester', '1921', '1957', 'professor robert burgess', '16160', '22225'], ['loughborough university', 'loughborough', '1909', '1966', 'professor robert allison', '17825', '22398'], ['royal holloway , university of london', 'egham', '1849', '1900', 'professor paul layzell (principal)', '7620', '13699'], ['soas , university of london', 'london', '1916', '1916', 'professor paul webley', '4525', '7238'], ['university of sussex', 'brighton', '1961', '1961', 'professor michael farthing', '12415', '16196']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which university has the highest research funding, and how is the difference compared to the university with the lowest research funding(000)? | loughborough university,15160 |
2a01a6240ddabb477a15919fcca82afb | tablebench-tqa | {'columns': ['rank', 'peak', 'country', 'island', 'elevation (m)', 'prominence (m)', 'col (m)'], 'data': [['1', 'aoraki / mount cook', 'new zealand', 'south island', '3755', '3755', '0'], ['2', 'mount ruapehu', 'new zealand', 'north island', '2797', '2797', '0'], ['3', 'mount aspiring / tititea', 'new zealand', 'south island', '3033', '2471', '562'], ['4', 'mount taranaki / egmont', 'new zealand', 'north island', '2518', '2308', '210'], ['5', 'mount tutoko', 'new zealand', 'south island', '2723', '2191', '532'], ['6', 'mount tapuaenuku', 'new zealand', 'south island', '2884', '2021', '863'], ['7', 'single cone', 'new zealand', 'south island', '2319', '1969', '350'], ['8', 'manakau', 'new zealand', 'south island', '2608', '1798', '810'], ['9', 'mount taylor', 'new zealand', 'south island', '2333', '1636', '698']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Can you rank the top 3 mountains in New Zealand by their elevation in meters from highest to lowest? | aoraki / mount cook, mount aspiring / tititea, mount tapuaenuku |
5e11f9ff05e83e303176745b3b36274b | tablebench-tqa | {'columns': ['rank', 'country', '2009', '2010', '2011'], 'data': [['1.0', 'china', '8038703', '8651831', '9174280'], ['2.0', 'italy', '8242500', '7787800', '7115500'], ['3.0', 'united states', '6629198', '6777731', '6756449'], ['4.0', 'france', '6101525', '5794433', '6588904'], ['5.0', 'spain', '5535333', '6107617', '5809315'], ['6.0', 'turkey', '4264720', '4255000', '4296351'], ['7.0', 'chile', '2600000', '2903000', '3149380'], ['8.0', 'argentina', '2181567', '2616613', '2750000'], ['9.0', 'iran', '2305000', '2225000', '2240000'], ['10.0', 'australia', '1797012', '1684345', '1715717'], [None, 'world', '58521410', '58292101', '58500118']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Can you rank the top 3 countries that have shown the most improvement in their values from 2009 to 2011? | china, argentina, chile |
6861b3d742e8183a3955590530e6c805 | tablebench-tqa | {'columns': ['Name', 'Title', 'Start', 'End'], 'data': [['William J. Porter', "Chargé d'Affaires", '1956', '1956'], ['Cavendish W. Cannon', 'Ambassador', '1956', '1958'], ['Charles Yost', 'Ambassador', '1958', '1961'], ['Philip W. Bonsal', 'Ambassador', '1961', '1962'], ['John H. Ferguson', 'Ambassador', '1962', '1964'], ['Henry J. Tasca', 'Ambassador', '1965', '1969'], ['Stuart W. Rockwell', 'Ambassador', '1970', '1973'], ['Robert G. Neumann', 'Ambassador', '1973', '1976'], ['Robert Anderson', 'Ambassador', '1976', '1978'], ['Richard B. Parker', 'Ambassador', '1978', '1979'], ['Angier Biddle Duke', 'Ambassador', '1979', '1981'], ['Joseph Verner Reed, Jr.', 'Ambassador', '1981', '1985'], ['Thomas Anthony Nassif', 'Ambassador', '1985', '1988'], ['Michael Ussery', 'Ambassador', '1988', '1991'], ['Frederick Vreeland', 'Ambassador', '1991', '1993'], ['Marc Charles Ginsberg', 'Ambassador', '1994', '1997'], ['Gary S. Usrey', "Chargé d'Affaires", '1997', '1998'], ['Edward M. Gabriel', 'Ambassador', '1998', '2001'], ['Margaret D. Tutwiler', 'Ambassador', '2001', '2003'], ['Thomas Riley', 'Ambassador', '2004', '2009'], ['Samuel L. Kaplan', 'Ambassador', '2009', '2013'], ['Matthew Lussenhop', "Chargé d'Affaires", '2013', '2014'], ['Dwight L. Bush Sr.', 'Ambassador', '2014', '2017']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Who has served the longest in this position? | Thomas Riley |
da3b06794c40fc042b0b94985865f012 | tablebench-tqa | {'columns': ['males rank', 'females rank', 'state', 'hiv awareness (males%)', 'females (%)'], 'data': [['1', '2', 'kerala', '99', '95'], ['2', '1', 'manipur', '99', '99'], ['3', '3', 'tamil nadu', '98', '94'], ['4', '3', 'mizoram', '96', '94'], ['5', '10', 'andhra pradesh', '93', '74'], ['6', '5', 'goa', '92', '83'], ['6', '7', 'himachal pradesh', '92', '79'], ['6', '12', 'punjab', '92', '70'], ['9', '15', 'nagaland', '91', '81'], ['10', '8', 'uttarakhand', '90', '79'], ['11', '7', 'maharashtra', '87', '82'], ['12', '9', 'sikkim', '89', '75'], ['12', '11', 'tripura', '89', '73'], ['14', '17', 'jammu and kashmir', '88', '61'], ['15', '18', 'haryana', '87', '60'], ['16', '13', 'karnataka', '85', '66'], ['17', '23', 'gujarat', '80', '49'], ['17', '19', 'whole india', '80', '57'], ['19', '13', 'arunachal pradesh', '75', '66'], ['19', '21', 'assam', '75', '53'], ['21', '28', 'west bengal', '74', '50'], ['21', '26', 'uttar pradesh', '74', '40'], ['21', '22', 'rajasthan', '74', '34'], ['24', '16', 'odisha', '73', '62'], ['25', '27', 'bihar', '70', '35'], ['26', '24', 'madhya pradesh', '68', '45'], ['27', '25', 'chattisgarh', '67', '41'], ['28', '19', 'meghalaya', '63', '57'], ['29', '29', 'jharkhand', '53', '29']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which state has the highest HIV awareness percentage among females? | manipur |
4f0c48014d19beeb80048111efe5b532 | tablebench-tqa | {'columns': ['length (feet)', 'year', 'make and model', 'floor type', 'number of seats', 'bicycle capacity', 'fuel propulsion', 'quantity'], 'data': [['30', '2001', 'novabus rts', 'high', '27', '2', 'diesel', '4'], ['35', '2010', 'new flyer de35lf', 'low', '29', '3', 'diesel - electric hybrid', '7'], ['40', '2000', 'novabus rts', 'high', '39', '3', 'diesel', '14'], ['40', '2003', 'orion bus industries v', 'high', '41', '3', 'diesel', '80'], ['45', '1999', 'mci 102dl3', 'high', '57', '2', 'diesel', '14'], ['45', '2003', 'mci d4500', 'high', '57', '2', 'diesel', '6'], ['45', '2010 , 2012', 'mci d4500ct', 'high', '57', '2', 'diesel', '55'], ['60 ( articulated )', '2007', 'new flyer d60lf', 'low', '58', '3', 'diesel', '10']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which make and model of buses has the highest quantity? | orion bus industries v |
4af852836dd997ea05b065d0c530910b | tablebench-tqa | {'columns': ['Model', '8A', '8Aa', '8Ab', '8B', '8F'], 'data': [['Bore (mm)', '120', '120', '120', '120', '140'], ['Stroke (mm)', '130', '130', '130', '130', '150'], ['Displacement (l)', '11.76', '11.76', '11.76', '18.47', '-'], ['Compression ratio', '4.7', '4.7', '5.3', '5.3', '5.3'], ['Length (m)', '1.19', '1.25', '1.31', '1.36', '1.32'], ['Width (m)', '0.81', '0.83', '0.85', '0.86', '0.89'], ['Height (m)', '0.77', '0.81', '0.87', '0.90', '0.88'], ['Weight(kg)', '195', '215', '230', '236', '256'], ['Power output (hp)', '140', '150', '180', '200/235', '300'], ['at (rpm)', '1900', '2000', '2100', '2300', '2100']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Can you rank the models from highest to lowest power output (hp)? | 8F, 8B, 8Ab, 8Aa, 8A |
38f99d0e172d93c9772406669a71d12e | tablebench-tqa | {'columns': ['Place', 'PoW', 'Tanks', 'Guns'], 'data': [['Sidi Barrani', '38,289', '73', '297'], ['Sidi Omar', '900', '0', '8'], ['Bardia', '42,000', '130', '275'], ['Tobruk', '25,000', '87', '208'], ['Mechili', '100', '13', '0'], ['Derna Benghazi', '2,000', '10', '24'], ['Benghazi Agedabia', '25,000', '107', '93'], ['Total', '133,298', '420', '845']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which place had the highest number of Prisoners of War (PoW)? | Bardia |
87d27673443cdd977986ee4fe7ece98b | tablebench-tqa | {'columns': ['type', 'beam height (mm)', 'flange width (mm)', 'web thickness (mm)', 'flange thickness (mm)', 'weight (kg / m)', 'cross - section area (cm 2 )', 'moment of inertia in torsion (j) (cm 4 )'], 'data': [['ismb 80', '80', '46', '3.8', '5.2', '6.0', '7.64', '0.7'], ['ismb 100', '100', '55', '4.1', '5.7', '8.1', '10.3', '1.1'], ['ismb 120', '120', '70', '4.4', '6.3', '10.4', '13.2', '1.71'], ['ismb 140', '140', '73', '4.7', '6.9', '12.9', '16.4', '2.54'], ['ismb 750 137', '753', '263', '11.5', '17.0', '137.0', '175.0', '137.1'], ['ismb 750 147', '753', '265', '13.2', '17.0', '147.0', '188.0', '161.5'], ['ismb 750 173', '762', '267', '14.4', '21.6', '173.0', '221.0', '273.6']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which beam type has the highest moment of inertia in torsion (j) among all the options? | ismb 750 173 |
8e90a54d425a61c7bb3cc66e5698edbf | tablebench-tqa | {'columns': ['series', 'presenters', 'start date', 'end date', 'days in camp', 'camp mates', 'winner', 'highest viewers (millions)', 'lowest viewers (millions)', 'average viewers (millions)'], 'data': [['one', 'ant & dec', '25 august 2002', '8 september 2002', '15', '8', 'tony blackburn', '10.95', '6.14', '7.58'], ['two', 'ant & dec', '28 april 2003', '12 may 2003', '15', '10', 'phil tufnell', '12.75', '5.15', '8.55'], ['three', 'ant & dec', '26 january 2004', '9 february 2004', '16', '10', 'kerry katona', '14.99', '8.96', '11.02'], ['four', 'ant & dec', '21 november 2004', '6 december 2004', '18', '11', 'joe pasquale', '11.43', '7.04', '8.66'], ['five', 'ant & dec', '20 november 2005', '5 december 2005', '18', '12', 'carol thatcher', '12.35', '7.69', '9.42'], ['six', 'ant & dec', '13 november 2006', '1 december 2006', '19', '12', 'matt willis', '10.05', '6.97', '8.01'], ['seven', 'ant & dec', '12 november 2007', '30 november 2007', '20', '11', 'christopher biggins', '8.84', '5.0', '7.34'], ['eight', 'ant & dec', '16 november 2008', '5 december 2008', '21', '12', 'joe swash', '10.19', '7.91', '8.78'], ['nine', 'ant & dec', '15 november 2009', '4 december 2009', '21', '13', "gino d'acampo", '10.86', '7.86', '9.37'], ['ten', 'ant & dec', '14 november 2010', '4 december 2010', '21', '13', 'stacey solomon', '13.48', '6.68', '9.7'], ['eleven', 'ant & dec', '13 november 2011', '3 december 2011', '21', '13', 'dougie poynter', '11.8', '6.8', '9.74'], ['twelve', 'ant & dec', '11 november 2012', '1 december 2012', '21', '12', 'charlie brooks', '11.51', '7.81', '9.81']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | In which series did the show achieve the highest average viewership (in millions)? | three |
0a593de4b82e18d255d786e3fee0d85f | tablebench-tqa | {'columns': ['no in series', 'no in season', 'title', 'directed by', 'written by', 'original air date', 'production code', 'us viewers (millions)'], 'data': [['67', '1', 'charmed again (part 1)', 'michael schultz', 'brad kern', 'october 4 , 2001', '4301801', '6.0'], ['68', '2', 'charmed again (part 2)', 'michael schultz', 'brad kern', 'october 4 , 2001', '4301801', '6.0'], ['69', '3', 'hell hath no fury', 'chris long', 'krista vernoff', 'october 11 , 2001', '4301069', '5.0'], ['70', '4', 'enter the demon', 'joel j feigenbaum', 'daniel cerone', 'october 18 , 2001', '4301071', '5.7'], ['71', '5', 'size matters', 'noel nosseck', 'nell scovell', 'october 25 , 2001', '4301070', '5.3'], ['72', '6', 'a knight to remember', 'david straiton', 'alison schapker & monica breen', 'november 1 , 2001', '4301072', '4.7'], ['73', '7', 'brain drain', 'john behring', 'curtis kheel', 'november 8 , 2001', '4301073', '4.7'], ['74', '8', 'black as cole', 'les landau', 'abbey campbell , brad kern & nell scovell', 'november 15 , 2001', '4301074', '5.1'], ['75', '9', 'muse to my ears', 'joel j feigenbaum', 'krista vernoff', 'december 13 , 2001', '4301075', '4.5'], ['76', '10', 'a paige from the past', 'james l conway', 'daniel cerone', 'january 17 , 2002', '4301076', '3.4'], ['77', '11', 'trial by magic', 'chip scott laughlin', 'michael gleason', 'january 24 , 2002', '4301077', '4.1'], ['78', '12', 'lost and bound', 'noel nosseck', 'nell scovell', 'january 31 , 2002', '4301078', '3.9'], ['79', '13', 'charmed and dangerous', 'jon pare', 'alison schapker & monica breen', 'february 7 , 2002', '4301079', '4.7'], ['80', '14', 'the three faces of phoebe', 'joel j feigenbaum', 'curtis kheel', 'february 14 , 2002', '4301080', '4.7'], ['81', '15', 'marry - go - round', 'chris long', 'daniel cerone', 'march 14 , 2002', '4301081', '4.5'], ['82', '16', 'the fifth halliwheel', 'david straiton', 'krista vernoff', 'march 21 , 2002', '4301082', '4.8'], ['83', '17', 'saving private leo', 'john behring', 'daniel cerone & doug e jones', 'march 28 , 2002', '4301083', '3.9'], ['84', '18', 'bite me', 'john t kretchmer', 'curtis kheel', 'april 18 , 2002', '4301084', '3.6'], ['85', '19', "we 're off to see the wizard", 'timothy lonsdale', 'alison schapker & monica breen', 'april 25 , 2002', '4301085', '4.2'], ['86', '20', 'long live the queen', 'jon parã', 'krista vernoff', 'may 2 , 2002', '4301086', '2.8'], ['87', '21', 'womb raider', 'mel damski', 'daniel cerone', 'may 9 , 2002', '4301087', '5.0']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which episode had the lowest number of US viewers (in millions)? | long live the queen |
1ff37e4c567cfe5f66c6db366400f737 | tablebench-tqa | {'columns': ['date', 'origin time', 'epicentre (lat , s)', 'epicentre (long , e)', 'local magnitude', 'location'], 'data': [['8 february 1920', '05:24', '35.0', '111.0', '6.2', '260 km south west of cape leeuwin'], ['18 december 1940', '21:45', '32.2', '117.2', '4.2', 'beverley , brookton'], ['19 april 1946', '21:13', '38.5', '114.5', '5.7', 'west of yallingup'], ['17 september 1946', '15:12', '32.5', '116.9', '4.5', 'pingelly'], ['2 may 1949', '10:00', '30.9', '116.4', '5.1', 'yerecoin'], ['7 may 1949', '17:09', '30.9', '116.4', '4.1', 'yerecoin'], ['11 march 1952', '06:09', '31.3', '116.5', '5.1', 'bolgart'], ['27 november 1954', '08:36', '32.0', '116.7', '3.9', 'talbot brook'], ['29 april 1955', '09:14', '30.9', '116.4', '4.7', 'yerecoin'], ['29 april 1955', '19:49', '30.9', '116.4', '4.4', 'yerecoin'], ['29 august 1955', '06:09', '30.7', '116.4', '5.3', 'gabalong'], ['30 august 1955', '13:52', '30.7', '116.4', '5.8', 'gabalong'], ['30 august 1955', '14:07', '30.7', '116.4', '4.7', 'gabalong'], ['30 august 1955', '16:46', '30.7', '116.4', '4.6', 'gabalong'], ['24 february 1956', '06:27', '30.9', '116.4', '4.5', 'yerecoin'], ['5 april 1956', '23:13', '30.9', '116.4', '4.5', 'yerecoin'], ['20 march 1958', '03:03', '32.2', '117.2', '4.8', 'beverley , brookton'], ['3 october 1959', '12:07:22.0', '34.5', '114.5', '4.2', '55 km sw cape leeuwin']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which time has the lowest local magnitude? | 27 november 1954 |
73195d923251e56c5bfb25f8d9f98cfd | tablebench-tqa | {'columns': ['peak', 'country', 'elevation (m)', 'prominence (m)', 'col (m)'], 'data': [['mount ida', 'greece ( crete )', '2456', '2456', '0'], ['taygetus', 'greece', '2404', '2344', '60'], ['lefka ori', 'greece ( crete )', '2453', '2038', '415'], ['mount olympus', 'cyprus', '1952', '1952', '0'], ['mount kyllini', 'greece', '2376', '1870', '506'], ['dikti', 'greece ( crete )', '2148', '1798', '350'], ['dirfi', 'greece ( euboea )', '1743', '1743', '0'], ['mount ainos', 'greece ( kefalonia )', '1628', '1628', '0'], ['fengari', 'greece ( samothrace )', '1611', '1611', '0']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which mountain has the highest elevation (m) among those in greece? | mount ida |
3122e367beb2513ff31cd9040b8f9547 | tablebench-tqa | {'columns': ['place', 'code', 'area (km 2 )', 'population', 'most spoken language'], 'data': [['alldays', '90901', '11.75', '385', 'northern sotho'], ['bahanawa', '90902', '390.17', '19068', 'northern sotho'], ['bahanawa - ba - kibi', '90903', '163.78', '7763', 'northern sotho'], ['bochum part 1', '90912', '4.33', '8501', 'northern sotho'], ['bochum part 2', '90905', '182.33', '15911', 'northern sotho'], ['dichoeng', '90906', '58.29', '17347', 'northern sotho'], ['manthata', '90907', '1335.47', '72175', 'northern sotho'], ['matlala', '90908', '180.83', '8697', 'northern sotho'], ['pietersburg', '90909', '1.33', '3818', 'northern sotho'], ['ramutla', '90910', '7.81', '1047', 'northern sotho'], ['seshego', '90911', '6.0', '1058', 'northern sotho'], ['remainder of the municipality', '90904', '2198.72', '5539', 'northern sotho']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which place has the largest 'area (km 2 )', and how is the difference compared to the place with the smallest 'area (km 2 )'? | remainder of the municipality, 2197.39 |
910bce6a7c6d7346fb3efa20a9469d9f | tablebench-tqa | {'columns': ['Particulars', 'Total', 'Male', 'Female'], 'data': [['Total No. of Houses', '122', '-', '-'], ['Population', '524', '261', '263'], ['Child (0-6)', '95', '46', '49'], ['Schedule Caste', '275', '137', '138'], ['Schedule Tribe', '0', '0', '0'], ['Literacy', '60.14 %', '65.12 %', '55.14 %'], ['Total Workers', '194', '143', '51'], ['Main Worker', '194', '0', '0'], ['Marginal Worker', '0', '0', '0']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which demographic category has the highest percentage value of male in the given table? | Total Workers |
f6ecd642029c0d49a2548e984de32a34 | tablebench-tqa | {'columns': ['s dam and gnis query link', 's lake and gnis query link', 's reservoir and gnis query link', 'borough or census area', 'comment'], 'data': [['5', '27', '0', 'aleutians east', 'lakes in table , reservoirs done'], ['15', '134', '0', 'aleutians west (ca)', 'lakes , reservoirs done'], ['8', '58', '6', 'anchorage', 'lakes and reservoirs in table'], ['0', '81', '0', 'bethel (ca)', 'lakes , reservoirs done'], ['0', '0', '0', 'bristol bay', 'lakes and reservoirs done'], ['0', '50', '0', 'denali', 'lakes in table , reservoirs done'], ['0', '55', '0', 'dillingham (ca)', 'lakes , reservoirs done'], ['3', '19', '1', 'fairbanks north star', 'lakes and reservoirs in table'], ['3', '10', '0', 'haines', 'lakes in table , reservoirs done'], ['6', '55', '3', 'hoonah - angoon (ca)', 'lakes and reservoirs in table'], ['8', '31', '5', 'juneau', 'lakes and reservoirs in table'], ['10', '440', '4', 'kenai peninsula', 'lakes , reservoirs in table'], ['12', '57', '8', 'ketchikan gateway', 'lakes , reservoirs in table'], ['31', '82', '11', 'kodiak island', 'lakes , reservoirs in table'], ['3', '83', '0', 'lake and peninsula', 'lakes , reservoirs done'], ['5', '451', '1', 'matanuska - susitna', 'lakes , reservoirs in table'], ['1', '36', '0', 'nome (ca)', 'lakes in table , reservoirs done'], ['2', '142', '2', 'north slope', 'lakes , reservoirs in table'], ['1', '80', '1', 'northwest arctic', 'lakes , reservoirs in table'], ['9', '163', '4', 'p of wales - o ketchikan (ca)', 'lakes , reservoirs in table'], ['9', '90', '3', 'sitka', 'lakes , reservoirs in table'], ['3', '9', '3', 'skagway', 'lakes and reservoirs in table'], ['0', '130', '0', 'southeast fairbanks (ca)', 'lakes , reservoirs in table'], ['22', '293', '10', 'valdez - cordova (ca)', 'lakes , reservoirs in table'], ['1', '21', '0', 'wade hampton (ca)', 'lakes in table , reservoirs done'], ['8', '60', '5', 'wrangell - petersburg (ca)', 'lakes , reservoirs in table'], ['0', '26', '0', 'yakutat', 'lakes in table , reservoirs done'], ['2', '513', '0', 'yukon - koyukuk (ca)', 'lakes , reservoirs done']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which borough or census area has the highest number of lakes and reservoirs combined, based on the 's lake and gnis query link' and 's reservoir and gnis query link' columns? | yukon - koyukuk (ca) |
9bd2405b2c4d9af26013351147098518 | tablebench-tqa | {'columns': ['rank', 'city', 'state', 'gdp in id b', 'population m (luz)', 'gdp per capita id k', 'eurozone'], 'data': [['1', 'paris', 'france', '731', '11.5', '62.4', 'y'], ['2', 'london', 'united kingdom', '565', '11.9', '49.4', 'n'], ['3', 'moscow', 'russia', '321', '10.5', '30.6', 'n'], ['4', 'madrid', 'spain', '230', '5.8', '39.7', 'y'], ['5', 'istanbul', 'turkey', '187', '13.2', '14.2', 'n'], ['6', 'barcelona', 'spain', '177', '4.97', '35.6', 'y'], ['7', 'rome', 'italy', '144', '3.46', '41.6', 'y'], ['8', 'milan', 'italy', '136', '3.08', '44.2', 'y'], ['9', 'vienna', 'austria', '122', '2.18', '56.0', 'y'], ['10', 'lisbon', 'portugal', '98', '2.44', '40.2', 'y'], ['11', 'athens', 'greece', '96', '4.01', '23.9', 'y'], ['12', 'berlin', 'germany', '95', '4.97', '19.1', 'y']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which city has the lowest GDP per capita in thousands of ID? | istanbul |
b32c2c1e4f5251447219723a5e32228a | tablebench-tqa | {'columns': ['rank', 'city', 'population', 'area (km 2 )', 'density (inhabitants / km 2 )', 'altitude (mslm)'], 'data': [['1st', 'alessandria', '94191', '203.97', '461.8', '95'], ['2nd', 'casale monferrato', '36039', '86.32', '417.5', '116'], ['3rd', 'novi ligure', '28581', '54.22', '527.1', '197'], ['4th', 'tortona', '27476', '99.29', '276.7', '122'], ['5th', 'acqui terme', '20426', '33.42', '611.2', '156'], ['6th', 'valenza', '20282', '50.05', '405.2', '125'], ['7th', 'ovada', '11912', '35.33', '337.2', '186'], ['8th', 'serravalle scrivia', '6445', '16.02', '402.3', '225'], ['9th', 'arquata scrivia', '6260', '30.36', '206.2', '248'], ['10th', 'castelnuovo scrivia', '5473', '45.42', '120.5', '85']]} | null | {'qtype': 'NumericalReasoning', 'qsubtype': 'Ranking'} | Which city has the highest 'density (inhabitants / km 2 )', and how is the difference compared to the city with the lowest? | acqui terme, 490.7 |
682fdc552a15e3f41d082db3957a5870 | tablebench-tqa | {'columns': ['year', 'class', 'team', 'points', 'wins'], 'data': [['1961', '125cc', 'suzuki', '0', '0'], ['1961', '250cc', 'suzuki', '0', '0'], ['1962', '50cc', 'suzuki', '23', '0'], ['1962', '125cc', 'suzuki', '4', '0'], ['1963', '50cc', 'suzuki', '20', '1'], ['1963', '125cc', 'suzuki', '1', '0'], ['1964', '50cc', 'suzuki', '19', '0'], ['1964', '125cc', 'suzuki', '6', '0'], ['1965', '50cc', 'suzuki', '16', '0'], ['1966', '50cc', 'suzuki', '3', '0'], ['1966', '125cc', 'suzuki', '4', '0'], ['1967', '50cc', 'suzuki', '8', '1']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Considering the historical data from 1961 to 1967, what could be the forecasted points of Suzuki in the 50cc and 125cc classes for the upcoming years? | 1.93, 6.57 |
b361d02410aacce63a84d3f811844411 | tablebench-tqa | {'columns': ['no for season', 'no for series', 'episode', 'airdate', 'viewers (in millions)'], 'data': [['1', '43', 'coast to coast', 'september 3 , 2013', '2.01'], ['2', '44', 'alaskan adventure', 'september 10 , 2013', '1.45'], ['3', '45', 'off road racing', 'september 17 , 2013', '1.54'], ['4', '46', "america 's biggest cars", 'september 24 , 2013', '1.88'], ['5', '47', 'sturgis', 'october 22 , 2013', '1.73'], ['6', '48', 'can cars float', 'october 29 , 2013', '1.58']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the viewership trends from the episodes listed in the table, what might be the expected viewership for the next episode in the series? | 1.60 |
3580eb2f494c1cd03a70cb2a1d754ee9 | tablebench-tqa | {'columns': ['year', 'region total', 'goondiwindi', 'waggamba', 'inglewood'], 'data': [['1933', '8696', '1931', '2468', '4297'], ['1947', '9114', '2467', '2590', '4057'], ['1954', '10359', '2950', '2968', '4441'], ['1961', '11265', '3274', '3123', '4868'], ['1966', '10608', '3529', '2895', '4184'], ['1971', '10253', '3695', '2913', '3645'], ['1976', '9509', '3741', '2539', '3229'], ['1981', '9334', '3576', '2732', '3026'], ['1986', '9859', '4103', '2757', '2999'], ['1991', '10181', '4331', '2898', '2952'], ['1996', '9857', '4374', '2712', '2771'], ['2001', '10348', '4760', '2975', '2613'], ['2006', '10399', '4873', '2951', '2575'], ['2011', '10628', '4821', '3221', '2586']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical population trends from 1933 to 2011 in the regions of Goondiwindi, Waggamba, and Inglewood, forecast the population for these regions in 2021. | 5391, 3041, 2129 |
813394653021785aae4edf6109618202 | tablebench-tqa | {'columns': ['episode no', 'airdate', 'viewers', 'bbc three weekly ranking', 'cable rank'], 'data': [['1', '21 october 2010', '956000', '3', '10'], ['2', '28 october 2010', '959000', '4', '14'], ['3', '4 november 2010', '1277000', '2', '6'], ['4', '11 november 2010', '817000', '6', '18'], ['5', '18 november 2010', '1019000', '3', '11'], ['6', '25 november 2010', '869000', '3', '23'], ['7', '2 december 2010', '982000', '2', '19'], ['8', '9 december 2010', '953000', '3', '12']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Given the fluctuating viewership and ranking data from the episodes aired between October and December 2010, can you predict the viewership and BBC Three weekly ranking for a hypothetical episode 9? | 929286, 3 |
62b4feef769ab4658ab31e1a29d556ce | tablebench-tqa | {'columns': ['Period', 'Live births per year', 'Deaths per year', 'Natural change per year', 'CBR1', 'CDR1', 'NC1', 'TFR1', 'IMR1'], 'data': [['1950-1955', '9 000', '5 000', '4 000', '47.9', '27.1', '20.8', '6.67', '184.8'], ['1955-1960', '10 000', '6 000', '5 000', '49.0', '26.8', '22.3', '6.67', '181.4'], ['1960-1965', '12 000', '6 000', '6 000', '48.5', '25.7', '22.8', '6.67', '174.1'], ['1965-1970', '13 000', '7 000', '7 000', '47.8', '24.1', '23.8', '6.67', '163.1'], ['1970-1975', '16 000', '7 000', '8 000', '47.0', '22.0', '25.1', '6.67', '149.3'], ['1975-1980', '18 000', '8 000', '10 000', '45.8', '19.6', '26.2', '6.67', '133.2'], ['1980-1985', '20 000', '8 000', '12 000', '42.7', '17.1', '25.6', '6.39', '117.1'], ['1985-1990', '21 000', '8 000', '13 000', '40.4', '15.0', '25.3', '6.11', '104.0'], ['1990-1995', '19 000', '7 000', '12 000', '35.2', '12.5', '22.7', '5.27', '87.5'], ['1995-2000', '16 000', '5 000', '11 000', '29.2', '9.9', '19.3', '4.13', '69.7'], ['2000-2005', '15 000', '5 000', '11 000', '25.2', '7.9', '17.2', '3.3', '52.8'], ['2005-2010', '15 000', '5 000', '10 000', '21.5', '7.2', '14.4', '2.61', '44.4']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Given the trends in CBR, CDR, and IMR from 1950 to 2010, what might be the projected values for these rates for the period 2010-2015? | 23.53, 4.70, 18.8 |
ab5fe6425a742e0a4809309bb87faf67 | tablebench-tqa | {'columns': ['year', 'indians admitted', 'pakistanis admitted', 'sri lankans admitted', 'bangladeshis admitted', 'nepalis admitted'], 'data': [['2000', '26122', '14201', '5849', '2715', '247'], ['2001', '27901', '15353', '5520', '3393', '273'], ['2002', '28838', '14173', '4968', '2615', '418'], ['2003', '24595', '12351', '4448', '1896', '440'], ['2004', '25573', '12793', '4134', '3374', '594'], ['2005', '22141', '13575', '4690', '3940', '714'], ['2006', '30746', '12329', '4490', '3838', '640'], ['2007', '26047', '9545', '3934', '2735', '564'], ['2008', '24548', '8051', '4508', '2716', '639'], ['2009', '26117', '6213', '4270', '4270', '627'], ['2010', '30252', '4986', '4181', '4364', '1502'], ['2011', '24965', '6073', '3104', '2449', '1249'], ['2012', '28943', '9931', '3152', '2449', '1311']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the admission trends from 2000 to 2012, what could be the forecasted number of Indians and Bangladeshis admitted in the year 2013? | 27227, 3338 |
a7d1be3dbb4f336774ab56d00253e5c4 | tablebench-tqa | {'columns': ['Year of election', 'Candidates elected', '# of seats available', '# of votes', '% of popular vote'], 'data': [['1963', '7', '108', 'n.a.', '15.5%'], ['1967', '20', '117', 'n.a.', '25.9%'], ['1971', '19', '117', 'n.a.', '27.1%'], ['1975', '38', '125', 'n.a.', '28.9%'], ['1977', '33', '125', 'n.a.', '28.0%'], ['1981', '21', '125', 'n.a.', '21.2%'], ['1985', '25', '125', '865,507', '23.8%'], ['1987', '19', '130', '970,813', '25.7%'], ['1990', '74', '130', '1,509,506', '37.6%'], ['1995', '17', '129', '854,163', '20.6%'], ['1999', '9', '103', '551,009', '12.6%'], ['2003', '7', '103', '660,730', '14.7%'], ['2007', '10', '107', '741,043', '16.8%'], ['2011', '17', '107', '980,204', '22.73%']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical data from 1963 to 2011, what could be the forecasted percentage of the popular vote in the next election year if the trend continues? | 18.90% |
c9cdf1b4641dd95e6109b788dd0f8c95 | tablebench-tqa | {'columns': ['season', 'timeslot (edt)', 'season premiere', 'season finale', 'tv season', 'rank', 'viewers (in millions)', '18 - 49 average'], 'data': [['1', 'sunday 9:00 pm', 'october 3 , 2004', 'may 22 , 2005', '2004 - 2005', '4', '23.69', '10.66'], ['2', 'sunday 9:00 pm', 'september 25 , 2005', 'may 21 , 2006', '2005 - 2006', '4', '21.7', '10.09'], ['3', 'sunday 9:00 pm', 'september 24 , 2006', 'may 20 , 2007', '2006 - 2007', '12', '16.7', '7.57'], ['4', 'sunday 9:00 pm', 'september 30 , 2007', 'may 18 , 2008', '2007 - 2008', '8', '17.52', '6.71'], ['5', 'sunday 9:00 pm', 'september 28 , 2008', 'may 17 , 2009', '2008 - 2009', '9', '15.66', '5.29'], ['6', 'sunday 9:00 pm', 'september 27 , 2009', 'may 16 , 2010', '2009 - 2010', '20', '12.83', '4.25'], ['7', 'sunday 9:00 pm', 'september 26 , 2010', 'may 15 , 2011', '2010 - 2011', '26', '11.86', '3.46'], ['8', 'sunday 9:00 pm', 'september 25 , 2011', 'may 13 , 2012', '2011 - 2012', '37', '10.6', '2.74']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Given the trend in viewership and 18 - 49 average ratings from season 1 to season 8, what might be the expected viewership and 18 - 49 average rating for season 9? | 0.99 |
a3e33d0126a25007ebd7c38e3805f251 | tablebench-tqa | {'columns': ['election', 'candidates fielded', 'of seats won', 'total votes', '% of popular vote', 'place'], 'data': [['1983', '4', '0', '3078', '0.19%', '7th'], ['1986', '9', '0', '4660', '0.24%', '5th'], ['1991', '42', '0', '12650', '0.86%', '4th'], ['1996', '71', '0', '31511', '1.99%', '5th'], ['2001', '72', '0', '197231', '12.39%', '3rd'], ['2005', '79', '0', '161842', '9.17%', '3rd'], ['2009', '85', '0', '134570', '8.21%', '3rd']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Given the increasing trend in the number of candidates fielded and the percentage of the popular vote from 1983 to 2009, what might be the expected number of candidates fielded and the percentage of the popular vote in the next election cycle? | 12.59% |
25b95d634bfc9a85d37e8e502149baae | tablebench-tqa | {'columns': ['year', 'starts', 'wins', 'top 5', 'top 10', 'poles', 'avg start', 'avg finish', 'winnings', 'position', 'team (s)'], 'data': [['1990', '4', '0', '0', '0', '0', '27.8', '31.0', '17190', '49th', '50 ted musgrave racing 2 us motorsports inc'], ['1991', '29', '0', '0', '0', '0', '29.6', '22.0', '200910', '23rd', '55 us motorsports inc'], ['1992', '29', '0', '1', '7', '0', '24.3', '16.7', '449121', '18th', '55 radius motorsports'], ['1993', '29', '0', '2', '5', '0', '21.7', '22.0', '458615', '25th', '55 radius motorsports'], ['1994', '31', '0', '1', '8', '3', '20.0', '17.4', '656187', '13th', '16 roush racing'], ['1995', '31', '0', '7', '13', '1', '17.6', '13.2', '1147445', '7th', '16 roush racing'], ['1996', '31', '0', '2', '7', '1', '21.2', '17.6', '961512', '16th', '16 roush racing'], ['1997', '32', '0', '5', '8', '0', '22.5', '18.3', '1256680', '12th', '16 roush racing'], ['1999', '32', '0', '0', '2', '0', '27.2', '26.5', '1162403', '33rd', '75 butch mock motorsports'], ['2001', '1', '0', '0', '0', '0', '15.0', '29.0', '73287', '64th', '7 ultra motorsports'], ['2002', '5', '0', '0', '0', '0', '33.0', '24.2', '283770', '50th', '07 ultra motorsports 44 petty enterprises']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Considering the historical data from 1990 to 2002, what is the likely average finish position and total winnings for the driver in the next racing season if they participate in a similar number of races as in their last active year? | 28.74, 1249884 |
c7d3b4bc8a57ba77136b864b42e00c90 | tablebench-tqa | {'columns': ['period', 'live births per year', 'deaths per year', 'natural change per year', 'cbr', 'cdr', 'nc', 'tfr', 'imr', 'life expectancy total', 'life expectancy males', 'life expectancy females'], 'data': [['1950 - 1955', '2 572 000', '900 000', '1 672 000', '44.1', '15.5', '28.6', '6.15', '135', '50.9', '49.2', '52.6'], ['1955 - 1960', '2 918 000', '947 000', '1 971 000', '43.2', '14.0', '29.1', '6.15', '122', '53.3', '51.5', '55.2'], ['1960 - 1965', '3 303 000', '986 000', '2 317 000', '42.2', '12.6', '29.6', '6.15', '109', '55.7', '53.8', '57.6'], ['1965 - 1970', '3 330 000', '998 000', '2 332 000', '37.0', '11.1', '25.9', '5.38', '100', '57.6', '55.7', '59.6'], ['1970 - 1975', '3 441 000', '1 014 000', '2 427 000', '33.7', '9.9', '23.8', '4.72', '91', '59.5', '57.3', '61.8'], ['1975 - 1980', '3 741 000', '1 043 000', '2 698 000', '32.5', '9.0', '23.5', '4.31', '79', '61.5', '59.2', '63.9'], ['1980 - 1985', '3 974 000', '1 064 000', '2 910 000', '30.8', '8.2', '22.6', '3.8', '63', '63.4', '60.4', '66.8'], ['1985 - 1990', '3 757 000', '1 055 000', '2 702 000', '26.3', '7.4', '18.9', '3.1', '52', '65.3', '61.9', '69.1'], ['1990 - 1995', '3 519 000', '1 058 000', '2 461 000', '22.6', '6.8', '15.8', '2.6', '43', '67.3', '63.6', '71.2'], ['1995 - 2000', '3 624 000', '1 086 000', '2 538 000', '21.5', '6.5', '15.1', '2.45', '34', '69.3', '65.5', '73.3'], ['2000 - 2005', '3 572 000', '1 147 000', '2 425 000', '19.8', '6.4', '13.4', '2.25', '27', '70.9', '67.2', '74.8']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical data from 1950 to 2005, what might be the forecasted life expectancy for males and females for the period 2010 - 2015? | 69.07, 77.71 |
9f15a6aac09b294c6ed56c01b70bc268 | tablebench-tqa | {'columns': ['year (january)', 'population (000)', 'rural , %', 'urban , %', 'source'], 'data': [['1939', '6081', '72', '28', 'census'], ['1959', '9295', '56', '44', 'census'], ['1970', '13001', '50', '50', 'census'], ['1979', '14685', '46', '54', 'census'], ['1989', '16537', '43', '57', 'census'], ['1999', '14953', '43', '57', 'census'], ['2002', '14851', '43', '57', 'estimate'], ['2005', '15075', '43', '57', 'estimate'], ['2008', '15572', '47', '53', 'estimate']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Considering the historical trend of urbanization from 1939 to 2008, what might be the expected urban population percentage in 2015 if the trend continues? | 62.21% |
18d386e63b6b9369923115e348b965e7 | tablebench-tqa | {'columns': ['year', 'start', 'qual', 'rank', 'finish', 'laps'], 'data': [['1951', '31', '132.226', '26', '4', '200'], ['1952', '2', '137.002', '4', '33', '20'], ['1953', '5', '136.06', '19', '33', '3'], ['1954', '23', '137.82', '28', '25', '165'], ['1955', '8', '139.098', '22', '6', '200'], ['1956', '9', '143.056', '11', '27', '90'], ['1957', '12', '143.244', '5', '5', '200']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Observing the trend in qualifying speeds ('qual') from 1951 to 1957, can you forecast the likely qualifying speed for the year 1960? | 148.69 |
ff185bf6ffc9bfde288ad3299663fdff | tablebench-tqa | {'columns': ['episode', 'broadcast date', 'bbc one presenter (s)', 'starring', 'radio 1 presenter', 'viewers (millions)'], 'data': [['1', '2005', 'clare balding', 'doug segal', 'n / a', '6.43'], ['2', '2006', 'myleene klass', 'gethin jones , natasha kaplinsky & alesha dixon', 'n / a', '6.06'], ['3', '2007', 'myleene klass', 'gethin jones , natasha kaplinsky & nick knowles', 'n / a', '5.35'], ['5', '2009', 'myleene klass', 'n / a', 'nihal', '7.65'], ['6', '2010', 'jake humphrey', 'n / a', 'nihal', '9.37'], ['7', '2011', 'jake humphrey', 'n / a', 'nihal', '10.67'], ['8', '2012', 'gabby logan', 'n / a', 'nihal', '9.73']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the viewership trend from 2005 to 2011, what is the forecasted viewership for the year 2013 if the trend continues? | 10.97 |
55f3914d42075dcde9c9c77774156a6c | tablebench-tqa | {'columns': ['year', 'starts', 'wins', 'top 5', 'top 10', 'poles', 'avg start', 'avg finish', 'winnings', 'position', 'team (s)'], 'data': [['1985', '1', '0', '0', '0', '0', '16.0', '14.0', '2925', '101st', '07 bob johnson racing'], ['1986', '1', '0', '0', '0', '0', '20.0', '29.0', '1815', '107th', '07 bob johnson racing'], ['1988', '1', '0', '0', '0', '0', '29.0', '37.0', '1460', '97th', '74 wawak racing'], ['1989', '1', '0', '0', '0', '0', '32.0', '28.0', '2725', '83rd', '63 linro motorsports'], ['1990', '2', '0', '0', '0', '0', '33.0', '35.5', '6675', '73rd', '13 linro motorsports'], ['1994', '3', '0', '0', '0', '0', '20.3', '19.7', '30565', '48th', '20 moroso racing 02 tw taylor'], ['1995', '14', '0', '0', '0', '0', '29.4', '27.4', '281945', '40th', '22 bill davis racing 40 brooks / sabco racing'], ['1998', '9', '0', '1', '3', '0', '25.3', '26.2', '336905', '49th', '50 hendrick motorsports'], ['1999', '2', '0', '0', '0', '0', '19.0', '38.5', '71200', '61st', '14 no fear racing'], ['2004', '3', '0', '0', '0', '0', '41.0', '40.3', '160261', '68th', '80 hover motorsports 98 mach 1 motorsports']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Considering the historical data on the number of starts and average finish positions from 1985 to 2004, what could be the forecasted average finish position for a driver in the year 2005 if they participate in a similar number of races as in 2004?** | 37.25 |
8f34be2fd33561d93c5f2053baa58892 | tablebench-tqa | {'columns': ['year', 'edmonton hundred', 'elthorne hundred', 'gore hundred', 'isleworth hundred', 'holborn division', 'finsbury division', 'kensington division', 'tower division', 'spelthorne hundred', 'within the walls', 'without the walls', 'inns of court and chancery', 'westminster city and liberty', 'total'], 'data': [['1801', '16885', '16853', '6968', '9266', '171202', '73268', '40642', '215382', '12743', '63832', '70676', '1907', '157890', '818129'], ['1811', '20577', '19929', '8738', '10669', '214946', '92538', '54550', '272966', '14409', '55484', '70489', '1796', '166438', '953774'], ['1821', '24771', '23479', '9806', '12285', '272131', '119802', '70808', '339075', '16966', '56174', '74765', '1546', '186584', '1144531'], ['1831', '26930', '26976', '11315', '13568', '341981', '151409', '87961', '427090', '19204', '55778', '73442', '1271', '206116', '1358130'], ['1841', '30683', '34943', '12487', '15893', '399218', '185174', '122795', '513501', '21298', '54626', '74758', '1708', '226241', '1574416'], ['1851', '32109', '35828', '12956', '18463', '480942', '239788', '169317', '641918', '22107', '54702', '79096', '1398', '241450', '1886576'], ['1861', '40885', '42274', '15341', '23610', '551487', '312553', '223305', '773621', '24795', '44400', '73125', '1272', '254463', '2206485'], ['1871', '57332', '46996', '21291', '30463', '604891', '381702', '350688', '902056', '33069', '28093', '50733', '1138', '246592', '2539765']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Considering the historical population growth trends from 1801 to 1871 in the 'tower division', what would be the projected population for the year 1881 if the growth trend continues at the same rate? | 955608 |
fc91b8c72014d9fa0fd440a2cc16b8b6 | tablebench-tqa | {'columns': ['election', 'candidates fielded', 'of seats won', 'total votes', '% of popular vote', 'place'], 'data': [['1983', '4', '0', '3078', '0.19%', '7th'], ['1986', '9', '0', '4660', '0.24%', '5th'], ['1991', '42', '0', '12650', '0.86%', '4th'], ['1996', '71', '0', '31511', '1.99%', '5th'], ['2001', '72', '0', '197231', '12.39%', '3rd'], ['2005', '79', '0', '161842', '9.17%', '3rd'], ['2009', '85', '0', '134570', '8.21%', '3rd'], ['2013', '61', '1', '146607', '8.13%', '3rd']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Given the increasing trend in total votes and percentage of the popular vote from 1983 to 2013, what might be the expected total votes and percentage of the popular vote for the next election cycle? | 204988, 12.0% |
20bb67d9c4bf7ed5a5e7387437a34898 | tablebench-tqa | {'columns': ['year', 'political rights', 'civil liberties', 'status', 'president'], 'data': [['1972', '7', '7', 'not free', 'idi amin'], ['1973', '7', '7', 'not free', 'idi amin'], ['1974', '7', '7', 'not free', 'idi amin'], ['1975', '7', '7', 'not free', 'idi amin'], ['1976', '7', '7', 'not free', 'idi amin'], ['1977', '7', '7', 'not free', 'idi amin'], ['1978', '7', '7', 'not free', 'idi amin'], ['1979', '6', '6', 'not free', 'idi amin'], ['1980', '4', '4', 'not free', 'godfrey binaisa'], ['1981', '5', '5', 'partly free', 'milton obote'], ['1982', '5', '5', 'partly free', 'milton obote'], ['1983', '4', '5', 'partly free', 'milton obote'], ['1984', '4', '5', 'partly free', 'milton obote'], ['1985', '5', '4', 'partly free', 'milton obote'], ['1986', '5', '4', 'partly free', 'tito okello'], ['1987', '5', '4', 'partly free', 'yoweri museveni'], ['1988', '5', '5', 'partly free', 'yoweri museveni'], ['1989', '6', '4', 'partly free', 'yoweri museveni'], ['1990', '6', '5', 'partly free', 'yoweri museveni'], ['1991', '6', '6', 'not free', 'yoweri museveni'], ['1992', '6', '5', 'not free', 'yoweri museveni'], ['1993', '6', '5', 'not free', 'yoweri museveni'], ['1994', '5', '5', 'partly free', 'yoweri museveni'], ['1995', '5', '4', 'partly free', 'yoweri museveni'], ['1996', '4', '4', 'partly free', 'yoweri museveni'], ['1997', '4', '4', 'partly free', 'yoweri museveni'], ['1998', '4', '4', 'partly free', 'yoweri museveni'], ['1999', '5', '5', 'partly free', 'yoweri museveni'], ['2000', '6', '5', 'partly free', 'yoweri museveni'], ['2001', '6', '5', 'partly free', 'yoweri museveni'], ['2002', '6', '4', 'partly free', 'yoweri museveni'], ['2003', '5', '4', 'partly free', 'yoweri museveni'], ['2004', '5', '4', 'partly free', 'yoweri museveni'], ['2005', '5', '4', 'partly free', 'yoweri museveni'], ['2006', '5', '4', 'partly free', 'yoweri museveni'], ['2007', '5', '4', 'partly free', 'yoweri museveni'], ['2008', '5', '4', 'partly free', 'yoweri museveni'], ['2009', '5', '4', 'partly free', 'yoweri museveni'], ['2010', '5', '4', 'partly free', 'yoweri museveni'], ['2011', '5', '4', 'free', 'yoweri museveni']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Considering the historical data from 1972 to 2011, what might be the expected status of freedom and the scores for political rights and civil liberties in the year 2015, assuming similar political and social conditions continue? | partly free, 5, 3 |
12015a78608d814a680338824e98cc15 | tablebench-tqa | {'columns': ['year', 'start', 'qual', 'rank', 'finish', 'laps'], 'data': [['1960', '28', '142.354', '29', '9', '200'], ['1962', '10', '147.753', '10', '15', '200'], ['1963', '25', '148.227', '27', '28', '46'], ['1964', '19', '151.21', '26', '6', '198'], ['1965', '24', '154.672', '23', '16', '115'], ['1966', '27', '159.144', '26', '21', '16'], ['1967', '25', '163.228', '22', '14', '182'], ['1968', '18', '164.444', '17', '16', '158'], ['1969', '18', '166.597', '18', '15', '155'], ['1971', '17', '170.156', '24', '7', '198']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical data from 1960 to 1971, how has the qualifying speed ('qual') trended, and how might this trend influence the finishing positions in next year? | Increasing trend, 13 |
b9d8ed898f79c1447bf6ca63051b60e9 | tablebench-tqa | {'columns': ['year', 'total region', 'biggenden', 'eidsvold', 'gayndah', 'monto', 'mundubbera', 'perry'], 'data': [['1933', '14322', '2476', '1475', '3760', '3514', '2302', '795'], ['1947', '13861', '2179', '1313', '3407', '4270', '2064', '628'], ['1954', '13917', '1974', '1311', '3352', '4458', '2326', '496'], ['1961', '13993', '1882', '1242', '3400', '4397', '2617', '455'], ['1966', '13715', '1722', '1702', '3182', '4155', '2580', '374'], ['1971', '12230', '1639', '1222', '3107', '3495', '2391', '376'], ['1976', '11504', '1532', '1231', '2814', '3228', '2395', '304'], ['1981', '11565', '1411', '1256', '2859', '3249', '2481', '309'], ['1986', '11583', '1553', '1212', '2887', '3266', '2355', '310'], ['1991', '11230', '1574', '1028', '2856', '3058', '2340', '374'], ['1996', '11243', '1570', '970', '2916', '2922', '2514', '351'], ['2001', '10782', '1486', '933', '2894', '2592', '2451', '426']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical population data from 1933 to 2001, what is the forecasted population for the 'biggenden' region in the year 2010? | 1213 |
8375929c803567a8bb59bb0470b615ab | tablebench-tqa | {'columns': ['electoral district', 'registered voters', 'seats in congress', 'candidates per party', 'participating parties', 'total candidates'], 'data': [['amazonas', '179331', '2', '3', '17', '47'], ['ancash', '611881', '5', '5', '21', '99'], ['apurímac', '195954', '2', '3', '21', '55'], ['arequipa', '770535', '5', '5', '21', '101'], ['ayacucho', '306662', '3', '3', '20', '58'], ['cajamarca', '721239', '5', '5', '23', '109'], ['callao', '541730', '4', '4', '24', '92'], ['cusco', '643629', '5', '5', '22', '98'], ['huancavelica', '203844', '2', '3', '15', '39'], ['huánuco', '354416', '3', '3', '22', '65'], ['ica', '451197', '4', '5', '22', '88'], ['junín', '701190', '5', '5', '22', '99'], ['la libertad', '942656', '7', '7', '22', '145'], ['lambayeque', '676735', '5', '5', '22', '101'], ['lima', '6063109', '35', '35', '24', '738'], ['loreto', '416419', '3', '3', '22', '60'], ['madre de dios', '47742', '1', '3', '14', '35'], ['moquegua', '99962', '2', '3', '18', '44'], ['pasco', '135670', '2', '3', '17', '51'], ['piura', '914912', '6', '6', '23', '136'], ['puno', '674865', '5', '5', '23', '106'], ['san martín', '357124', '3', '3', '17', '47'], ['tacna', '172427', '2', '3', '18', '57'], ['tumbes', '110335', '2', '3', '19', '57'], ['ucayali', '201342', '2', '3', '22', '60']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the current data showing the relationship between registered voters and total candidates across various electoral districts, can you forecast the likely number of total candidates in a hypothetical new district with 500,000 registered voters? | 85 |
68c1029fd30571a6e389a3a683fb73a2 | tablebench-tqa | {'columns': ['series', 'season', 'title', 'directed by', 'written by', 'original air date', 'prod code', 'us viewers (millions)'], 'data': [['22', '1', 'out of control', 'gerren keith', 'sarah jane cunningham & suzie v freeman', 'october 3 , 2003', '203', '2.9'], ['23', '2', "don't have a cow", 'rich correll', 'michael carrington', 'october 17 , 2003', '204', '4.5'], ['24', '3', 'run , raven , run', 'rich correll', 'marc warren', 'november 7 , 2003', '202', '4.1'], ['25', '4', 'clothes minded', 'sean mcnamara', 'edward c evans', 'january 1 , 2004', '207', '3.6'], ['26', '5', "four 's a crowd", 'rich correll', 'michael feldman', 'january 30 , 2004', '206', '5.5'], ['27', '6', 'hearts and minds', 'rich correll', 'michael feldman', 'february 6 , 2004', '212', '3.8'], ['28', '7', 'close encounters of the nerd kind', 'john tracy', 'josh lynn & danny warren', 'march 26 , 2004', '211', '2.4'], ['29', '8', "that 's so not raven", 'sean mcnamara', 'dennis rinsler', 'april 9 , 2004', '201', '7.1'], ['30', '9', 'blue in the face', 'sean mcnamara', 'maisha closson', 'april 16 , 2004', '208', '1.9'], ['31', '10', 'spa day afternoon', 'carl lauten', 'dava savel', 'may 21 , 2004', '209', '2.4'], ['32', '11', 'leave it to diva', 'donna pescow', 'marc warren', 'may 28 , 2004', '213', '2.9'], ['33', '12', 'there goes the bride', 'erma elzy - jones', 'sarah jane cunningham & suzie v freeman', 'june 11 , 2004', '216', '2.7'], ['34', '13', 'radio heads', 'rich correll', 'dennis rinsler', 'june 25 , 2004', '215', '3.7'], ['35', '14', "a goat 's tale", 'debbie allen', 'edward c evans', 'july 2 , 2004', '217', '4.3'], ['36', '15', "he 's got the power", 'john tracy', 'dava savel', 'july 9 , 2004', '205', '4.9'], ['37', '16', "skunk'd", 'christopher b pearman', 'sarah jane cunningham & suzie v freeman', 'july 16 , 2004', '219', '5.0'], ['38', '17', 'the dating shame', 'sean mcnamara', 'edward c evans & michael feldman', 'july 23 , 2004', '218', '4.6'], ['39', '18', 'the road to audition', 'debbie allen', 'beth seriff & geoff tarson', 'july 30 , 2004', '214', '4.3'], ['40', '19', 'the lying game', 'rich correll', 'dennis rinsler & marc warren', 'august 6 , 2004', '220', '4.27'], ['41', '20', 'numb and number', 'rondell sheridan', 'michael feldman & dava savel', 'september 10 , 2004', '221', '3.65']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the viewership trends observed from season 1 to season 6, can you forecast the likely viewership numbers for season 7 episodes? | 4.77 |
0116e7d6e612aa460deb91c8cd6ffe15 | tablebench-tqa | {'columns': ['no', '-', 'title', 'directed by', 'written by', 'original air date', 'production code', 'us viewers (million)'], 'data': [['89', '1', 'revival', 'steward lee', 'chris collins', 'september 29 , 2012', '4.26', '1.94'], ['90', '2', 'a war on two fronts', 'dave filoni', 'chris collins', 'october 6 , 2012', '4.15', '1.71'], ['91', '3', 'front runners', 'steward lee', 'chris collins', 'october 13 , 2012', '4.16', '1.75'], ['92', '4', 'the soft war', 'kyle dunlevy', 'chris collins', 'october 20 , 2012', '4.17', '1.57'], ['93', '5', 'tipping points', 'bosco ng', 'chris collins', 'october 27 , 2012', '4.18', '1.42'], ['94', '6', 'the gathering', 'kyle dunlevy', 'christian taylor', 'november 3 , 2012', '4.22', '1.66'], ['95', '7', 'a test of strength', 'bosco ng', 'christian taylor', 'november 10 , 2012', '4.23', '1.74'], ['96', '8', 'bound for rescue', "brian kalin o'connell", 'christian taylor', 'november 17 , 2012', '4.24', '1.96'], ['97', '9', 'a necessary bond', 'danny keller', 'christian taylor', 'november 24 , 2012', '4.25', '1.39'], ['98', '10', 'secret weapons', 'danny keller', 'brent friedman', 'december 1 , 2012', '5.04', '1.46'], ['99', '11', 'a sunny day in the void', 'kyle dunlevy', 'brent friedman', 'december 8 , 2012', '5.05', '1.43'], ['100', '12', 'missing in action', 'steward lee', 'brent friedman', 'january 5 , 2013', '5.06', '1.74'], ['101', '13', 'point of no return', 'bosco ng', 'brent friedman', 'january 12 , 2013', '5.07', '1.47'], ['102', '14', 'eminence', 'kyle dunlevy', 'chris collins', 'january 19 , 2013', '5.01', '1.85'], ['103', '15', 'shades of reason', 'bosco ng', 'chris collins', 'january 26 , 2013', '5.02', '1.83'], ['104', '16', 'the lawless', "brian kalin o'connell", 'chris collins', 'february 2 , 2013', '5.03', '1.86'], ['105', '17', 'sabotage', "brian kalin o'connell", 'charles murray', 'february 9 , 2013', '5.08', '2.02'], ['106', '18', 'the jedi who knew too much', 'danny keller', 'charles murray', 'february 16 , 2013', '5.09', '1.64'], ['107', '19', 'to catch a jedi', 'kyle dunlevy', 'charles murray', 'february 23 , 2013', '5.1', '2.06']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the viewership trends from episodes aired between September 2012 and February 2013, what can be forecasted about the viewership for an episode directed by 'Kyle Dunlevy' if it were to air in March 2013? | 2.07 |
f08b94c7f4b830fd8c090b2ef668f701 | tablebench-tqa | {'columns': ['rank', 'city', 'province', 'date of official foundation of municipality', '2006', '1996', '1986', '1976', '1966', '1956'], 'data': [['1', 'tehran', 'tehran', '1885', '7705036', '6758845', '6042584', '4530223', '2719730', '1512082'], ['2', 'mashhad', 'razavi khorasan', '1918', '2410800', '1887405', '1463508', '667770', '409616', '241984'], ['3', 'esfahān', 'esfahān', '1928', '1602110', '1266072', '986753', '661510', '424045', '254708'], ['4', 'tabriz', 'east azarbaijan', '1917', '1398060', '1191043', '971482', '597976', '403413', '289996'], ['5', 'karaj', 'alborz', '1934', '1377450', '940968', '611510', '137926', '44243', '14526'], ['6', 'shiraz', 'fars', '1950', '1227311', '1053025', '848289', '425813', '269865', '170659']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical population growth from 1956 to 2006, what could be the projected population of Tabriz in 2026? | 1872811 |
9b3a98f72cddb819f7091e667f9fef22 | tablebench-tqa | {'columns': ['school year', '95 - 96', '99 - 00', '00 - 01', '01 - 02', '02 - 03', '03 - 04', '04 - 05', '05 - 06', '06 - 07'], 'data': [['school year', '95 - 96', '99 - 00', '00 - 01', '01 - 02', '02 - 03', '03 - 04', '04 - 05', '05 - 06', '06 - 07'], ['latvian', '203607', '239163', '242475', '242183', '237425', '230212', '214855', '205189', '194230'], ['russian', '132540', '120925', '116009', '108454', '101486', '95841', '84559', '77471', '70683'], ['others', '1513', '1344', '1344', '1352', '1397', '1305', '1253', '1287', '1198'], ['total', '337660', '361432', '359818', '351989', '340308', '327358', '300667', '283947', '266111'], ['% learning in latvian', '60.3', '66.2', '67.4', '68.8', '69.8', '70.3', '71.5', '72.3', '73.0']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Given the historical trend of increasing percentages of students learning in Latvian from 1995 to 2007, what might be the expected percentage of students learning in Russian in the school year 2009 - 2010? | 55555 |
78c2b4543b68970a23559d43816a6c9e | tablebench-tqa | {'columns': ['years covered', 'all bills sponsored', 'all amendments sponsored', 'all bills cosponsored', 'all amendments cosponsored', 'bills originally cosponsored', 'amendments originally cosponsored'], 'data': [['2007 - 08', '22', '16', '133', '74', '101', '57'], ['2005 - 06', '75', '68', '152', '42', '113', '36'], ['2003 - 04', '77', '112', '181', '47', '116', '39'], ['2001 - 02', '54', '178', '121', '55', '97', '53'], ['1999 - 00', '102', '65', '175', '37', '110', '33'], ['1997 - 98', '74', '150', '147', '59', '79', '50'], ['1995 - 96', '80', '137', '118', '61', '66', '56'], ['1993 - 94', '53', '91', '201', '89', '98', '82'], ['1991 - 92', '159', '52', '353', '66', '175', '63'], ['1989 - 90', '39', '24', '247', '86', '150', '81'], ['1987 - 88', '24', '15', '342', '79', '171', '76'], ['1985 - 86', '12', '10', '335', '0', '117', '0'], ['1983 - 84', '6', '1', '286', '0', '107', '0']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Considering the historical data from 1983 to 2008, what is the forecasted number of bills likely to be originally cosponsored in the next legislative session? | 138 |
80d9f6c33e7c212d4717ad70f00e155b | tablebench-tqa | {'columns': ['year', 'number of tropical storms', 'number of hurricanes', 'number of major hurricanes', 'deaths', 'strongest storm'], 'data': [['1850', '0', '3', '0', 'not known', 'one'], ['1851', '6', '3', '1', '24', 'four'], ['1852', '5', '5', '1', '100 +', 'one'], ['1853', '8', '4', '2', '40', 'three'], ['1854', '5', '3', '1', '30 +', 'three'], ['1855', '5', '4', '1', 'not known', 'five'], ['1856', '6', '4', '2', '200 +', 'one'], ['1857', '4', '3', '0', '424', 'two & four'], ['1858', '6', '6', '0', 'none', 'three & six']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical data from 1850 to 1858, forecast the trend in the number of tropical storms and hurricanes for the next 5 years, considering any potential patterns or correlations between the columns. | No clear trend |
b548125a38fdd9f2fb20108a7829f48e | tablebench-tqa | {'columns': ['year', 'bötzow', 'schwante', 'vehlefanz', 'neu - vehlefanz', 'marwitz', 'bärenklau', 'eichstädt'], 'data': [['2004', '2.785', '1.983', '1.771', '340', '1.407', '1.291', '942'], ['2005', '2.904', '1.997', '1.777', '348', '1.4', '1.294', '939'], ['2006', '2.973', '2.061', '1.814', '391', '1.432', '1.33', '926'], ['2007', '2.947', '2.061', '1.821', '379', '1.435', '1.313', '929'], ['2008', '2.937', '2.043', '1.8', '355', '1.398', '1.294', '876'], ['2009', '2.967', '2.039', '1.759', '365', '1.417', '1.27', '848'], ['2010', '2.981', '2.089', '1.765', '385', '1.429', '1.288', '850']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical data from 2004 to 2010, forecast the trend of the bötzow values for the next two years, considering any potential patterns or changes in the data. | Increasing trend |
8c9e9e79e417ba0bfe9bb84523c4488e | tablebench-tqa | {'columns': ['year', 'theme', 'artist', 'composition', 'mintage', 'issue price'], 'data': [['2000', 'year of the dragon', 'harvey chan', '75% gold , 25% silver', '8874', '388.88'], ['2001', 'year of the snake', 'harvey chan', '75% gold , 25% silver', '6571', '388.88'], ['2002', 'year of the horse', 'harvey chan', '75% gold , 25% silver', '6843', '388.88'], ['2003', 'year of the goat', 'harvey chan', '75% gold , 25% silver', '3927', '398.88'], ['2004', 'year of the monkey', 'harvey chan', '75% gold , 25% silver', '3318', '398.88'], ['2005', 'year of the rooster', 'harvey chan', '75% gold , 25% silver', '4888', '398.88'], ['2006', 'year of the dog', 'harvey chan', '75% gold , 25% silver', '4888', '448.88'], ['2007', 'year of the pig', 'harvey chan', '75% gold , 25% silver', '4888', '498.95'], ['2008', 'year of the rat', 'harvey chan', '75% gold , 25% silver', '4888', '508.95'], ['2009', 'year of the ox', 'harvey chan', '75% gold , 25% silver', '4888', '638.88'], ['2010', 'year of the tiger', 'harvey chan', '75% gold , 25% silver', '4888', '555.55'], ['2011', 'year of the rabbit', 'harvey chan', '75% gold , 25% silver', '4888', '638.88']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the pattern of issue prices from 2000 to 2011, forecast the likely issue price of a coin with the same composition and artist in the year 2012. | 627.95 |
fc3045254e1c441b431664ecc434613d | tablebench-tqa | {'columns': ['Year', '-', 'Year', '-', 'Year', '-'], 'data': [['1820', '8,385', '1885', '395,346', '1950', '249,187'], ['1825', '10,199', '1890', '455,302', '1955', '237,790'], ['1830', '23,322', '1895', '258,536', '1960', '265,398'], ['1835', '45,374', '1900', '448,572', '1965', '296,697'], ['1840', '84,066', '1905', '1,026,499', '1970', '373,326'], ['1845', '114,371', '1910', '1,041,570', '1975', '385,378'], ['1850', '369,980', '1915', '326,700', '1980', '524,295'], ['1855', '200,877', '1920', '430,001', '1985', '568,149'], ['1860', '153,640', '1925', '294,314', '1990', '1,535,872'], ['1865', '248,120', '1930', '241,700', '1995', '720,177'], ['1870', '387,203', '1935', '34,956', '2000', '841,002'], ['1875', '227,498', '1940', '70,756', '2005', '1,122,257'], ['1880', '457,257', '1945', '38,119', '2010', '1,042,625']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the growth pattern of the values from 1820 to 2010, forecast the likely value in the year 2020. | 1298789 |
2a55d8cdce801c0bc37d186b2036d200 | tablebench-tqa | {'columns': ['year', 'us rank', 'total s ton', 'domestic s ton', 'foreign total s ton', 'foreign imports s ton', 'foreign exports s ton'], 'data': [['2006', '102', '2926536', '2306192', '620344', '464774', '155570'], ['2005', '94', '3527469', '2629553', '897916', '430396', '467520'], ['2004', '101', '3085753', '2323089', '762664', '284347', '478317'], ['2003', '96', '3178633', '2494261', '684372', '218233', '466139'], ['2002', '102', '2983137', '2318653', '664484', '251203', '413281'], ['2001', '108', '2861134', '2157496', '703638', '225281', '478357'], ['2000', '103', '3157247', '2416514', '740733', '382240', '358493']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the trend in total steel production from 2000 to 2006, forecast the likely total steel production in the United States for 2007. | 3209008 |
eb479957c7c89268f6e42c5e508a4273 | tablebench-tqa | {'columns': ['year', 'class', 'team', 'points', 'rank', 'wins'], 'data': [['1994', '125cc', 'honda', '24', '20th', '0'], ['1995', '125cc', 'honda', '102', '8th', '0'], ['1996', '125cc', 'honda', '167', '3rd', '1'], ['1997', '125cc', 'honda', '190', '3rd', '0'], ['1998', '125cc', 'honda', '217', '2nd', '5'], ['1999', '250cc', 'yamaha', '52', '15th', '0']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | What trend can be observed in the points scored by Honda in the 125cc class over the years? | Increasing trend |
dae6b44bc5d5c81f8883a824873aa722 | tablebench-tqa | {'columns': ['year', 'team', 'apps', 'tries', 'goals', 'points'], 'data': [['2004', 'castleford tigers', '3', '0', '0', '0'], ['2005', 'castleford tigers', '29', '24', '0', '96'], ['2006', 'castleford tigers', '27', '8', '0', '32'], ['2007', 'castleford tigers', '20', '19', '0', '76'], ['2008', 'castleford tigers', '22', '13', '0', '52'], ['2009', 'castleford tigers', '30', '19', '0', '76'], ['2010', 'castleford tigers', '22', '10', '0', '40'], ['total', 'castleford tigers', '153', '93', '0', '372']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical data from 2004 to 2010, forecast the Castleford Tigers' performance trend for the next five years. | No clear trend |
a3586b483a96d42b55f537ad79d20125 | tablebench-tqa | {'columns': ['length (feet)', 'year', 'make and model', 'floor type', 'number of seats', 'bicycle capacity', 'fuel propulsion', 'quantity'], 'data': [['30', '2001', 'novabus rts', 'high', '27', '2', 'diesel', '4'], ['35', '2010', 'new flyer de35lf', 'low', '29', '3', 'diesel - electric hybrid', '7'], ['40', '2000', 'novabus rts', 'high', '39', '3', 'diesel', '14'], ['40', '2003', 'orion bus industries v', 'high', '41', '3', 'diesel', '80'], ['45', '1999', 'mci 102dl3', 'high', '57', '2', 'diesel', '14'], ['45', '2003', 'mci d4500', 'high', '57', '2', 'diesel', '6'], ['45', '2010 , 2012', 'mci d4500ct', 'high', '57', '2', 'diesel', '55'], ['60 ( articulated )', '2007', 'new flyer d60lf', 'low', '58', '3', 'diesel', '10']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the trend of increasing quantity and shift towards more environmentally friendly fuel propulsion, forecast the likely characteristics (fuel propulsion and quantity) of buses that would be produced in 2025. | diesel, 66.90 |
155b509cd34c110114a7f440176c7f8d | tablebench-tqa | {'columns': ['year', 'theme', 'artist', 'mintage', 'issue price'], 'data': [['2002', '15th anniversary loonie', 'dora de pãdery - hunt', '67672', '39.95'], ['2004', 'jack miner bird sanctuary', 'susan taylor', '46493', '39.95'], ['2005', 'tufted puffin', 'n / a', '39818', '39.95'], ['2006', 'snowy owl', 'glen loates', '39935', '44.95'], ['2007', 'trumpeter swan', 'kerri burnett', '40000', '45.95'], ['2008', 'common eider', 'mark hobson', '40000', '47.95'], ['2009', 'great blue heron', 'chris jordison', '40000', '47.95'], ['2010', 'northern harrier', 'arnold nogy', '35000', '49.95'], ['2011', 'great gray owl', 'arnold nogy', '35000', '49.95'], ['2012', '25th anniversary loonie', 'arnold nogy', '35000', '49.95']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | What trend can be expected in the issue price of coins in the next 5 years based on the historical data? | Increasing trend |
a290e049154a9ef09e0d708340e93f36 | tablebench-tqa | {'columns': ['year', 'number of examinees', 'number of passed students', 'pass percentage', 'obtained gpa - 5'], 'data': [['2005', '314', '239', '67.75%', '31'], ['2006', '331', '278', '72.37%', '54'], ['2007', '336', '260', '68.62%', '63'], ['2008', '346', '274', '75.54%', '79'], ['2009', '360', '297', '78.35%', '83'], ['2010', '364', '322', '79.68%', '85']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the trend of pass percentages and obtained GPA metrics from 2005 to 2010, forecast the likely pass percentage and obtained GPA metric for the year 2011. | 82.17%, 103.13 |
0d1240af55f2edc9c6925faee44f3d8a | tablebench-tqa | {'columns': ['year', 'theme', 'artist', 'mintage', 'issue price'], 'data': [['2005', 'fur traders', 'john mardon', '4500', '489.95'], ['2006', 'timber trade', 'john mardon', '4500', '489.95'], ['2007', 'fishing trade', 'john mardon', '4000', '579.95'], ['2008', 'agricultural commerce', 'john mardon', '4000', '619.95'], ['2009', 'coal mining trade', 'john mardon', '4000', '697.95'], ['2010', 'petroleum and oil trade', 'john mardon', '4000', '999.95']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | How is the issue price of John Mardon's coins or collectibles likely to trend in the future based on the historical data? | Increasing trend |
1501b744e926341ae4a8556e8d3805d0 | tablebench-tqa | {'columns': ['year', 'property taxes', 'investment earnings', 'other local sources', 'state & federal', 'total revenue'], 'data': [['2005', '24384901', '255041', '2670060', '13581968', '40891700'], ['2004', '21099214', '181103', '2624131', '13999169', '37903617'], ['2003', '17199210', '509862', '2309087', '12794922', '32539572'], ['2002', '14359199', '879398', '2168096', '15132879', '32539572'], ['2001', '11631227', '1949885', '1987436', '12929489', '28498037'], ['2000', '10608734', '493839', '2127480', '8549565', '21779618']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | What trend can be observed in the total revenue of the entity over the years, and what might be the projected total revenue for the next year? | Increasing trend, 44736401 |
0b60ca87029a5920e40e0b1016b345f2 | tablebench-tqa | {'columns': ['year', 'team', 'apps', 'tries', 'goals', 'points'], 'data': [['2004', 'castleford tigers', '3', '0', '0', '0'], ['2005', 'castleford tigers', '29', '24', '0', '96'], ['2006', 'castleford tigers', '27', '8', '0', '32'], ['2007', 'castleford tigers', '20', '19', '0', '76'], ['2008', 'castleford tigers', '22', '13', '0', '52'], ['2009', 'castleford tigers', '30', '19', '0', '76'], ['2010', 'castleford tigers', '22', '10', '0', '40'], ['total', 'castleford tigers', '153', '93', '0', '372']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | How will the Castleford Tigers' points scored per year trend in the next 5 years? | Increasing trend |
1272063425f62b71b1349118e1e829b0 | tablebench-tqa | {'columns': ['year', 'matches', 'wins', 'losses', 'no result', 'tied', 'success rate'], 'data': [['2008', '16', '9', '7', '0', '0', '56.25%'], ['2009', '15', '8', '6', '1', '0', '53.33%'], ['2010', '16', '9', '7', '0', '0', '56.25%'], ['2011', '16', '11', '5', '0', '0', '68.75%'], ['2012', '19', '19', '11', '8', '0', '52.63%'], ['2013', '18', '12', '6', '0', '0', '66.67%'], ['total', '99', '59', '39', '1', '0', '60.2%']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical data from 2008 to 2013, forecast the team's performance trend for the next five years. | Increasing trend |
3e91d53f7b003e5d9ec55fdb87ee40fb | tablebench-tqa | {'columns': ['year', 'total support and revenue', 'total expenses', 'increase in net assets', 'net assets at end of year'], 'data': [['2003 / 2004', '80129', '23463', '56666', '56666'], ['2004 / 2005', '379088', '177670', '211418', '268084'], ['2005 / 2006', '1508039', '791907', '736132', '1004216'], ['2006 / 2007', '2734909', '2077843', '654066', '1658282'], ['2007 / 2008', '5032981', '3540724', '3519886', '5178168'], ['2008 / 2009', '8658006', '5617236', '3053599', '8231767'], ['2009 / 2010', '17979312', '10266793', '6310964', '14542731'], ['2010 / 2011', '24785092', '17889794', '9649413', '24192144'], ['2011 / 2012', '38479665', '29260652', '10736914', '34929058']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | What is the projected net asset value at the end of 2012/2013 based on the historical trend? | 30416145.92 |
30b79e19a0d46928045a2eeaf12733ed | tablebench-tqa | {'columns': ['year', 'property taxes', 'investment earnings', 'other local sources', 'state & federal', 'total revenue'], 'data': [['2005', '24384901', '255041', '2670060', '13581968', '40891700'], ['2004', '21099214', '181103', '2624131', '13999169', '37903617'], ['2003', '17199210', '509862', '2309087', '12794922', '32539572'], ['2002', '14359199', '879398', '2168096', '15132879', '32539572'], ['2001', '11631227', '1949885', '1987436', '12929489', '28498037'], ['2000', '10608734', '493839', '2127480', '8549565', '21779618']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | How has the total revenue trended over the years? | Increasing trend |
a036c20d04a45d4c542bef7274e936c5 | tablebench-tqa | {'columns': ['Year', '-', 'Year', '-', 'Year', '-'], 'data': [['1820', '8,385', '1885', '395,346', '1950', '249,187'], ['1825', '10,199', '1890', '455,302', '1955', '237,790'], ['1830', '23,322', '1895', '258,536', '1960', '265,398'], ['1835', '45,374', '1900', '448,572', '1965', '296,697'], ['1840', '84,066', '1905', '1,026,499', '1970', '373,326'], ['1845', '114,371', '1910', '1,041,570', '1975', '385,378'], ['1850', '369,980', '1915', '326,700', '1980', '524,295'], ['1855', '200,877', '1920', '430,001', '1985', '568,149'], ['1860', '153,640', '1925', '294,314', '1990', '1,535,872'], ['1865', '248,120', '1930', '241,700', '1995', '720,177'], ['1870', '387,203', '1935', '34,956', '2000', '841,002'], ['1875', '227,498', '1940', '70,756', '2005', '1,122,257'], ['1880', '457,257', '1945', '38,119', '2010', '1,042,625']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical data, forecast the value for the year 2020, assuming the trend of steady increase continues. | 1298789 |
52f3d64787e913066cb7a0a1b3072631 | tablebench-tqa | {'columns': ['year', 'bötzow', 'schwante', 'vehlefanz', 'neu - vehlefanz', 'marwitz', 'bärenklau', 'eichstädt'], 'data': [['2004', '2.785', '1.983', '1.771', '340', '1.407', '1.291', '942'], ['2005', '2.904', '1.997', '1.777', '348', '1.4', '1.294', '939'], ['2006', '2.973', '2.061', '1.814', '391', '1.432', '1.33', '926'], ['2007', '2.947', '2.061', '1.821', '379', '1.435', '1.313', '929'], ['2008', '2.937', '2.043', '1.8', '355', '1.398', '1.294', '876'], ['2009', '2.967', '2.039', '1.759', '365', '1.417', '1.27', '848'], ['2010', '2.981', '2.089', '1.765', '385', '1.429', '1.288', '850']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | How has the population of bötzow trended over the years, and what can be expected in the n 2015? | Increasing trend, 3.12 |
1966e357c4c3e7dcf131249e26d48a48 | tablebench-tqa | {'columns': ['year', 'total support and revenue', 'total expenses', 'increase in net assets', 'net assets at end of year'], 'data': [['2003 / 2004', '80129', '23463', '56666', '56666'], ['2004 / 2005', '379088', '177670', '211418', '268084'], ['2005 / 2006', '1508039', '791907', '736132', '1004216'], ['2006 / 2007', '2734909', '2077843', '654066', '1658282'], ['2007 / 2008', '5032981', '3540724', '3519886', '5178168'], ['2008 / 2009', '8658006', '5617236', '3053599', '8231767'], ['2009 / 2010', '17979312', '10266793', '6310964', '14542731'], ['2010 / 2011', '24785092', '17889794', '9649413', '24192144'], ['2011 / 2012', '38479665', '29260652', '10736914', '34929058']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | What is the projected total support and revenue for the next year based on the historical trend? | 33210952 |
01e4774ada60feb0c31a3f78ab112c78 | tablebench-tqa | {'columns': ['year', 'number of tropical storms', 'number of hurricanes', 'number of major hurricanes', 'deaths', 'strongest storm'], 'data': [['1860', '1', '5', '1', '60 +', 'one'], ['1861', '2', '6', '0', '22 +', 'one and three'], ['1862', '3', '3', '0', '3', 'two and three'], ['1863', '4', '5', '0', '90', 'one , two , three & four'], ['1864', '2', '3', '0', 'none', 'one , three & five'], ['1865', '4', '3', '0', '326', 'four & seven'], ['1866', '1', '5', '1', '383', 'six'], ['1867', '2', '6', '0', '811', "'san narciso'"], ['1868', '1', '3', '0', '2', 'one , two & four']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical data on tropical storms, hurricanes, and major hurricanes from 1860 to 1868, what can we predict for the number of major hurricanes in the next decade? | No clear trend |
d53d9f75072d62e5f6f39dc0518c15a0 | tablebench-tqa | {'columns': ['year', 'theme', 'artist', 'finish', 'issue price', 'total mintage'], 'data': [['2002', 'golden tulip', 'anthony testa', 'proof (selectively gold plated)', '24.95', '19986'], ['2003', 'golden daffodil', 'christie paquet', 'proof (selectively gold plated)', '34.95', '36293'], ['2004', 'golden easter lily', 'christie paquet', 'proof (selectively gold plated)', '34.95', '23486'], ['2005', 'golden rose', 'christie paquet', 'proof (selectively gold plated)', '34.95', '23000'], ['2006', 'golden daisy', 'christie paquet', 'proof (selectively gold plated)', '34.95', '23000'], ['2007', 'golden forget - me - not', 'christie paquet', 'proof (selectively gold plated)', '38.95', '20000']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Given the pattern of coin production from 2002 to 2007, including the distribution of themes and issue prices, forecast the likely issue price of coins that would have been produced in 2008. | 40.95 |
94dc60bbaa47bd13e61daa090520bf51 | tablebench-tqa | {'columns': ['year', 'population', 'Catholics (based on registration by the church itself)', 'Percentage (based on registration by the church itself)'], 'data': [['1970', '12,957,621', '5,320,000', '40.5'], ['1980', '14,091,014', '5,620,000', '39.5'], ['1990', '14,892,574', '5,560,000', '37.0'], ['1995', '15,424,122', '5,385,258', '34.8'], ['2000', '15,863,950', '5,060,413', '31.6'], ['2005', '16,305,526', '4,406,000', '27.0'], ['2010', '16,574,989', '4,166,000', '25.0'], ['2015', '16,900,726', '3,882,000', '22.9'], ['2016', '16,979,120', '3,832,000', '22.4'], ['2017', '17,081,057', '3,769,000', '21.9']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the trend of Catholic population and percentage from 1970 to 2017, forecast the likely number of Catholics and percentage of Catholics in the population in 2025. | 17854340, 19.08% |
b24a1096f3c65da2862cf44cea87f37e | tablebench-tqa | {'columns': ['year', 'theme', 'artist', 'mintage', 'issue price'], 'data': [['2002', '15th anniversary loonie', 'dora de pãdery - hunt', '67672', '39.95'], ['2004', 'jack miner bird sanctuary', 'susan taylor', '46493', '39.95'], ['2005', 'tufted puffin', 'n / a', '39818', '39.95'], ['2006', 'snowy owl', 'glen loates', '39935', '44.95'], ['2007', 'trumpeter swan', 'kerri burnett', '40000', '45.95'], ['2008', 'common eider', 'mark hobson', '40000', '47.95'], ['2009', 'great blue heron', 'chris jordison', '40000', '47.95'], ['2010', 'northern harrier', 'arnold nogy', '35000', '49.95'], ['2011', 'great gray owl', 'arnold nogy', '35000', '49.95'], ['2012', '25th anniversary loonie', 'arnold nogy', '35000', '49.95']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical trend of issue prices from 2002 to 2012, forecast the likely issue price of a coin in 2013. | 52.69 |
2263f3aabca0e99e20653ff6bf45b738 | tablebench-tqa | {'columns': ['year', 'population', 'Catholics (based on registration by the church itself)', 'Percentage (based on registration by the church itself)'], 'data': [['1970', '12,957,621', '5,320,000', '40.5'], ['1980', '14,091,014', '5,620,000', '39.5'], ['1990', '14,892,574', '5,560,000', '37.0'], ['1995', '15,424,122', '5,385,258', '34.8'], ['2000', '15,863,950', '5,060,413', '31.6'], ['2005', '16,305,526', '4,406,000', '27.0'], ['2010', '16,574,989', '4,166,000', '25.0'], ['2015', '16,900,726', '3,882,000', '22.9'], ['2016', '16,979,120', '3,832,000', '22.4'], ['2017', '17,081,057', '3,769,000', '21.9']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'TrendForecasting'} | Based on the historical trend of Catholic population percentage, what can we predict about the percentage of Catholics in the population by 2025? | 19.08 |
3a93c52237b905ea2640738c1541612a | tablebench-tqa | {'columns': ['driver', 'car', 'make', 'points', 'laps', 'winnings'], 'data': [['kasey kahne', '9', 'dodge', '185', '334', '530164'], ['matt kenseth', '17', 'ford', '175', '334', '362491'], ['tony stewart', '20', 'chevrolet', '175', '334', '286386'], ['denny hamlin', '11', 'chevrolet', '165', '334', '208500'], ['kevin harvick', '29', 'chevrolet', '160', '334', '204511'], ['jeff burton', '31', 'chevrolet', '150', '334', '172220'], ['scott riggs', '10', 'dodge', '146', '334', '133850'], ['martin truex jr', '1', 'chevrolet', '147', '334', '156608'], ['mark martin', '6', 'ford', '143', '334', '151850'], ['bobby labonte', '43', 'dodge', '134', '334', '164211'], ['jimmie johnson', '48', 'chevrolet', '130', '334', '165161'], ['dale earnhardt jr', '8', 'chevrolet', '127', '334', '154816'], ['reed sorenson', '41', 'dodge', '124', '334', '126675'], ['casey mears', '42', 'dodge', '121', '334', '150233'], ['kyle busch', '5', 'chevrolet', '118', '334', '129725'], ['ken schrader', '21', 'ford', '115', '334', '140089'], ['dale jarrett', '88', 'ford', '112', '334', '143350'], ['jeff green', '66', 'chevrolet', '114', '334', '133833'], ['clint bowyer', '7', 'chevrolet', '106', '333', '116075'], ['robby gordon', '7', 'chevrolet', '103', '333', '109275'], ['david stremme', '40', 'dodge', '100', '333', '127033'], ['jeff gordon', '24', 'chevrolet', '97', '332', '148411'], ['joe nemechek', '1', 'chevrolet', '94', '332', '129070'], ['tony raines', '96', 'chevrolet', '91', '332', '97075'], ['terry labonte', '44', 'chevrolet', '88', '332', '95975'], ['michael waltrip', '55', 'dodge', '85', '331', '108833'], ['travis kvapil', '32', 'chevrolet', '82', '331', '105122'], ['scott wimmer', '4', 'chevrolet', '79', '330', '94075'], ['dave blaney', '22', 'dodge', '76', '330', '92475'], ['sterling marlin', '14', 'chevrolet', '73', '329', '89325'], ['jeremy mayfield', '19', 'dodge', '70', '328', '116891'], ['kevin lepage', '61', 'ford', '67', '328', '85800'], ['elliott sadler', '38', 'ford', '69', '286', '113558'], ['kurt busch', '2', 'dodge', '61', '286', '124633'], ['jj yeley', '18', 'chevrolet', '63', '270', '118075'], ['carl edwards', '99', 'ford', '60', '256', '101175'], ['jamie mcmurray', '26', 'ford', '52', '254', '127100'], ['mike garvey', '151', 'chevrolet', '49', '251', '79125'], ['kyle petty', '45', 'dodge', '46', '248', '87000'], ['ryan newman', '12', 'dodge', '43', '200', '124283'], ['derrike cope', '74', 'dodge', 'pe', '169', '78760'], ['greg biffle', '16', 'ford', '42', '81', '98860'], ['brian vickers', '25', 'chevrolet', '34', '24', '86847']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | What is the median winnings for drivers who have driven a Chevrolet car? | 155712 |
0203d48d1ea51d76ce1d8867c8b9843a | tablebench-tqa | {'columns': ['2006', '2007', '2008', '2009', '2010'], 'data': [['20.0', '19.9', '20.4', '20.0', '20.7'], ['17.5', '17.6', '17.2', '16.9', '16.4'], ['6.9', '7.1', '6.9', '6.9', '6.9'], ['8.2', '7.5', '6.8', '6.5', '6.4'], ['4.9', '4.6', '4.7', '4.7', '4.6'], ['2.0', '2.0', '1.9', '2.1', '1.9'], ['1.4', '1.3', '1.6', '1.7', '2.0'], ['1.7', '1.7', '1.4', '1.4', '1.1'], ['1.2', '1.3', '1.3', '1.3', '1.2'], ['1.0', '1.1', '1.2', '1.3', '1.4'], ['1.7', '1.1', '1.0', '1.2', '0.9'], ['1.4', '1.3', '1.2', '1.2', '1.2'], ['0.6', '0.7', '0.9', '1.1', '1.0'], ['0.4', '0.6', '1.1', '1.0', '0.9'], ['0.4', '0.7', '0.9', '0.9', '1.0'], ['0.6', '0.7', '0.8', '0.8', '1.0'], ['0.8', '0.6', '0.5', '0.6', '0.5'], ['1.0', '0.7', '0.6', '0.5', '0.5'], ['0.4', '0.5', '0.5', '0.5', '0.4'], ['0.5', '0.5', '0.4', '0.5', '0.6'], ['0.5', '0.5', '0.4', '0.5', '0.4'], ['0.3', '0.3', '0.2', '0.2', '0.2'], ['0.3', '0.3', '0.3', '0.2', '0.2'], ['0.3', '0.2', '0.2', '0.2', '0.2'], ['0.4', '0.2', '0.2', '0.1', '0.1'], ['0.3', '0.2', '0.1', '0.1', '0.1'], ['0.2', '0.2', '0.2', '0.1', '0.1'], ['0.2', '0.2', '0.1', '0.1', '0.1']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | Which category exhibits the most consistent growth rate across the 5-year period, and what is the average annual percentage increase for that category? | 9, 8.78% |
597ec51aa971e271f16ec29cb35e9918 | tablebench-tqa | {'columns': ['peak', 'country', 'elevation (m)', 'prominence (m)', 'col (m)'], 'data': [['mount ida', 'greece ( crete )', '2456', '2456', '0'], ['taygetus', 'greece', '2404', '2344', '60'], ['lefka ori', 'greece ( crete )', '2453', '2038', '415'], ['mount olympus', 'cyprus', '1952', '1952', '0'], ['mount kyllini', 'greece', '2376', '1870', '506'], ['dikti', 'greece ( crete )', '2148', '1798', '350'], ['dirfi', 'greece ( euboea )', '1743', '1743', '0'], ['mount ainos', 'greece ( kefalonia )', '1628', '1628', '0'], ['fengari', 'greece ( samothrace )', '1611', '1611', '0']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | What is the median elevation of the mountain peaks in Greece? | 2262 |
7c54c117f3afcf34f3f904f00ea42c62 | tablebench-tqa | {'columns': ['Works no.', 'Year built', 'NGR no.', 'SAR no.', 'SAR Class'], 'data': [['18829', '1909', '330', '1446', '3R'], ['18830', '1909', '331', '1447', '3R'], ['18831', '1909', '332', '1448', '3R'], ['18832', '1909', '333', '1449', '3R'], ['18833', '1909', '334', '1450', '3R'], ['19217', '1910', '345', '1451', '3R'], ['19218', '1910', '346', '1452', '3R'], ['19219', '1910', '347', '1453', '3R'], ['19220', '1910', '348', '1454', '3R'], ['19221', '1910', '349', '1455', '3R'], ['19222', '1910', '350', '1456', '3R'], ['19223', '1910', '351', '1457', '3'], ['19224', '1910', '352', '1458', '3R'], ['19225', '1910', '353', '1459', '3R'], ['19226', '1910', '354', '1460', '3R'], ['19227', '1910', '355', '1461', '3R'], ['19228', '1910', '356', '1462', '3R'], ['19229', '1910', '357', '1463', '3R'], ['19230', '1910', '358', '1464', '3R'], ['19231', '1910', '359', '1465', '3R'], ['19232', '1910', '360', '1466', '3R'], ['19233', '1910', '361', '1467', '3R'], ['19234', '1910', '362', '1468', '3R'], ['19235', '1910', '363', '1469', '3R'], ['19236', '1910', '364', '1470', '3R'], ['19237', '1910', '365', '1471', '3R'], ['19238', '1910', '366', '1472', '3R'], ['19239', '1910', '367', '1473', '3R'], ['19240', '1910', '368', '1474', '3R'], ['19241', '1910', '369', '1475', '3R']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | What is the mean and standard deviation of the Year built column? | 1909.67, 0.51 |
4f347ffe247bafe31dde4487a00eba05 | tablebench-tqa | {'columns': ['city', 'comprehension of danish', 'comprehension of swedish', 'comprehension of norwegian', 'average'], 'data': [['århus , denmark', 'n / a', '3.74', '4.68', '4.21'], ['copenhagen , denmark', 'n / a', '3.60', '4.13', '3.87'], ['malmö , sweden', '5.08', 'n / a', '4.97', '5.02'], ['stockholm , sweden', '3.46', 'n / a', '5.56', '4.51'], ['bergen , norway', '6.50', '6.15', 'n / a', '6.32'], ['oslo , norway', '6.57', '7.12', 'n / a', '6.85']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | Can you calculate the standard deviation of the average comprehension scores across all cities? | 1.20 |
f557ff1c99aaf41e253a7295f416c91a | tablebench-tqa | {'columns': ['rank', 'airport', 'passengers', 'aircraft movements', 'carriers'], 'data': [['1', 'shanghai , china', '192701', '1465', 'china eastern airlines , jin air'], ['2', 'osaka , japan', '131338', '1157', 'jeju air , korean air'], ['3', 'tokyo , japan', '124296', '734', 'korean air'], ['4', 'beijing , china', '97055', '768', 'china eastern airlines , korean air'], ['5', 'taipei , republic of china (taiwan)', '73754', '585', 'jin air , transasia airways'], ['6', 'ningbo , china', '44067', '303', 'china eastern airlines , eastar jet'], ['7', 'nagoya , japan', '41460', '416', 'korean air'], ['8', 'harbin , china', '31574', '201', 'china southern airlines , jin air'], ['9', 'changchun , china', '29129', '214', 'china southern airlines'], ['10', 'fukuoka , japan', '27592', '306', 'asiana airlines'], ['11', 'shenyang , china', '26168', '238', 'china southern airlines'], ['12', 'dalian , china', '25359', '204', 'china southern airlines'], ['13', 'hong kong', '24940', '208', 'dragonair'], ['14', 'hangzhou , china', '22191', '165', 'china eastern airlines'], ['15', 'macau', '21278', '178', 'eastar jet'], ['16', 'nanning , china', '17114', '122', 'eastar jet'], ['17', "xi'an , china", '15022', '107', 'jin air'], ['18', 'guangzhou , china', '14983', '95', 'korean air'], ['19', 'hefei , china', '14226', '105', 'eastar jet'], ['20', 'changsha , china', '12947', '105', 'eastar jet']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | What is the median number of aircraft movements among the top 10 busiest airports in the table? | 500.5 |
4a24ebf059841b6349f3a139ce180c36 | tablebench-tqa | {'columns': ['Year', 'Political Rights', 'Civil Liberties', 'Status', 'President'], 'data': [['1972', '6', '6', 'Not Free', 'Hamani Diori'], ['1973', '6', '6', 'Not Free', 'Hamani Diori'], ['1974', '7', '6', 'Not Free', 'Hamani Diori'], ['1975', '7', '6', 'Not Free', 'Seyni Kountché'], ['1976', '7', '6', 'Not Free', 'Seyni Kountché'], ['1977', '7', '6', 'Not Free', 'Seyni Kountché'], ['1978', '7', '6', 'Not Free', 'Seyni Kountché'], ['1979', '7', '6', 'Not Free', 'Seyni Kountché'], ['1980', '7', '6', 'Not Free', 'Seyni Kountché'], ['1981', '7', '6', 'Not Free', 'Seyni Kountché'], ['1982', '7', '6', 'Not Free', 'Seyni Kountché'], ['1983', '7', '6', 'Not Free', 'Seyni Kountché'], ['1984', '7', '6', 'Not Free', 'Seyni Kountché'], ['1985', '7', '6', 'Not Free', 'Seyni Kountché'], ['1986', '7', '6', 'Not Free', 'Seyni Kountché'], ['1987', '7', '6', 'Not Free', 'Seyni Kountché'], ['1988', '6', '6', 'Not Free', 'Ali Saibou'], ['1989', '7', '6', 'Not Free', 'Ali Saibou'], ['1990', '6', '5', 'Not Free', 'Ali Saibou'], ['1991', '6', '5', 'Partly Free', 'Ali Saibou'], ['1992', '5', '4', 'Partly Free', 'Ali Saibou'], ['1993', '3', '4', 'Partly Free', 'Ali Saibou'], ['1994', '3', '5', 'Partly Free', 'Mahamane Ousmane'], ['1995', '3', '5', 'Partly Free', 'Mahamane Ousmane'], ['1996', '7', '5', 'Not Free', 'Mahamane Ousmane'], ['1997', '7', '5', 'Not Free', 'Ibrahim Baré Maïnassara'], ['1998', '7', '5', 'Not Free', 'Ibrahim Baré Maïnassara'], ['1999', '5', '5', 'Partly Free', 'Ibrahim Baré Maïnassara'], ['2000', '4', '4', 'Partly Free', 'Mamadou Tandja'], ['2001', '4', '4', 'Partly Free', 'Mamadou Tandja'], ['2002', '4', '4', 'Partly Free', 'Mamadou Tandja'], ['2003', '4', '4', 'Partly Free', 'Mamadou Tandja'], ['2004', '3', '3', 'Partly Free', 'Mamadou Tandja'], ['2005', '3', '3', 'Partly Free', 'Mamadou Tandja'], ['2006', '3', '3', 'Partly Free', 'Mamadou Tandja'], ['2007', '3', '4', 'Partly Free', 'Mamadou Tandja'], ['2008', '3', '4', 'Partly Free', 'Mamadou Tandja'], ['2009', '5', '4', 'Partly Free', 'Mamadou Tandja'], ['2010', '5', '4', 'Partly Free', 'Mamadou Tandja'], ['2011', '3', '4', 'Partly Free', 'Salou Djibo']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | What is the standard deviation of the "Political Rights" scores from 1975 to 1990? | 0.34 |
e5356a64fb82a5d4ca6c7d21f5343d2a | tablebench-tqa | {'columns': ['election', 'leader', 'of seats won', 'of national votes', '% of national vote', 'of prefectural votes', '% of prefectural vote'], 'data': [['1956', 'ichirō hatoyama', '61', '11356874', '39.7%', '14353960', '48.4%'], ['1959', 'nobusuke kishi', '71', '12120598', '41.2%', '15667022', '52.0%'], ['1962', 'hayato ikeda', '69', '16581637', '46.4%', '17112986', '47.1%'], ['1965', 'eisaku satō', '71', '17583490', '47.2%', '16651284', '44.2%'], ['1968', 'eisaku satō', '69', '20120089', '46.7%', '19405546', '44.9%'], ['1971', 'eisaku satō', '62', '17759395', '44.5%', '17727263', '44.0%'], ['1974', 'kakuei tanaka', '62', '23332773', '44.3%', '21132372', '39.5%'], ['1977', 'takeo fukuda', '63', '18160061', '35.8%', '20440157', '39.5%'], ['1980', 'masayoshi ōhira', '69', '23778190', '43.3%', '24533083', '42.5%'], ['1983', 'yasuhiro nakasone', '68', '16441437', '35.3%', '19975034', '43.2%'], ['1986', 'yasuhiro nakasone', '72', '22132573', '38.58%', '26111258', '45.07%'], ['1989', 'sōsuke uno', '36', '17466406', '30.70%', '15343455', '27.32%'], ['1992', 'kiichi miyazawa', '68', '20528293', '45.23%', '14961199', '33.29%'], ['1995', 'yōhei kōno', '46', '10557547', '25.40%', '11096972', '27.29%'], ['1998', 'keizō obuchi', '44', '17033851', '30.45%', '14128719', '25.17%'], ['2001', 'junichiro koizumi', '64', '22299825', '41.04%', '21114727', '38.57%'], ['2004', 'junichiro koizumi', '49', '16797686', '30.03%', '19687954', '35.08%'], ['2007', 'shinzō abe', '37', '16544696', '28.1%', '18606193', '31.35%'], ['2010', 'sadakazu tanigaki', '51', '14071671', '24.07%', '19496083', '33.38%'], ['2013', 'shinzō abe', '65', '18460404', '34.7%', '22681192', '42.7%']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | What is the standard deviation of the percentage of national votes across all elections? | 0.07 |
a8f29aa7448ca2c774592e7a2078cadc | tablebench-tqa | {'columns': ['country', 'number of troops', '% of total troops', 'troops per one million population', 'troops per 1 billion ( usd ) gdp'], 'data': [['united states', '74400', '68.216%', '291.3', '6.06'], ['united kingdom', '9500', '7.201%', '153.5', '4.21'], ['germany', '4318', '3.721%', '59.8', '1.44'], ['italy', '4000', '3.016%', '63.5', '1.81'], ['france', '2453', '2.892%', '61.4', '1.49'], ['poland', '2432', '1.915%', '66.5', '5.41'], ['romania', '1808', '1.308%', '81.4', '10.52'], ['georgia', '1561', '1.218%', '219.0', '85.95'], ['australia', '1550', '1.175%', '72.1', '1.35'], ['spain', '1500', '1.136%', '33.1', '1.02'], ['turkey', '1271', '1.364%', '23.8', '2.76'], ['canada', '950', '2.198%', '27.7', '1.85'], ['denmark', '624', '0.565%', '136.4', '2.35'], ['bulgaria', '563', '0.584%', '81.1', '12.66'], ['norway', '538', '0.313%', '85.0', '1.01'], ['belgium', '520', '0.400%', '49.3', '1.13'], ['netherlands', '500', '0.149%', '11.8', '0.24'], ['sweden', '500', '0.671%', '53.8', '1.14'], ['czech republic', '423', '0.351%', '44.5', '2.35'], ['hungary', '563', '0.584%', '48.4', '3.57'], ['republic of korea', '350', '0.323%', '8.8', '0.47'], ['slovakia', '343', '0.224%', '54.7', '3.01'], ['croatia', '320', '0.227%', '67.8', '4.66'], ['lithuania', '241', '0.142%', '57.7', '4.99'], ['albania', '211', '0.195%', '81.1', '19.59'], ['finland', '181', '0.125%', '30.8', '0.71'], ['latvia', '180', '0.103%', '60.7', '5.38'], ['macedonia', '177', '0.124%', '79.9', '17.12'], ['estonia', '154', '0.120%', '117.8', '8.21'], ['new zealand', '152', '0.179%', '54.9', '2.00'], ['portugal', '137', '0.086%', '10.7', '0.49'], ['armenia', '127', '0.030%', '42.8', '3.36'], ['mongolia', '101', '0.047%', '23.0', '11.79'], ['azerbaijan', '94', '0.071%', '10.5', '2.04'], ['slovenia', '80', '0.060%', '38.9', '1.60'], ['bosnia and herzegovina', '59', '0.034%', '12.0', '2.45'], ['tonga', '55', '0.047%', '528.8', '183.70'], ['malaysia', '42', '0.023%', '1.1', '0.16'], ['montenegro', '41', '0.027%', '57.5', '7.47'], ['united arab emirates', '35', '0.027%', '7.4', '0.12'], ['ukraine', '24', '0.015%', '0.4', '0.17'], ['greece', '12', '0.100%', '11.8', '0.40'], ['luxembourg', '10', '0.007%', '18.3', '0.17'], ['ireland', '6', '0.005%', '1.5', '0.03'], ['austria', '3', '0.002%', '0.4', '0.01'], ['iceland', '3', '0.002%', '6.1', '0.17'], ['isaf exact total', '112579', '100.000%', '117.1 (average)', '3.49 (average)']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | Which country has the highest troops per one million population, and what is the percentage difference between this country and the country with the next highest troops per one million population? | Tonga, 81.53% |
8ea9501f9abeeb3b1f86928209b13a76 | tablebench-tqa | {'columns': ['rank', 'airport', 'city', 'code (iata / icao)', '2008', '2009', '2010'], 'data': [['1', 'henri coandă international airport', 'bucharest', 'otp / lrop', '5063555', '4480765', '4802510'], ['2', 'traian vuia international airport', 'timișoara', 'tsr / lrtr', '886083', '991737', '1136064'], ['3', 'cluj - napoca international airport', 'cluj - napoca', 'clj / lrcl', '752181', '834400', '1028907'], ['4', 'aurel vlaicu international airport', 'bucharest', 'bbu / lrob', '1724633', '1974337', '1881509'], ['5', 'george enescu international airport', 'bacău', 'bcm / lrbc', '116492', '195772', '240735'], ['6', 'trgu mureș transilvania airport', 'trgu mureș', 'tgm / lrtm', '69945', '84062', '74353'], ['7', 'sibiu international airport', 'sibiu', 'sbz / lrsb', '141032', '148527', '198753'], ['8', 'iași international airport', 'iași', 'ias / lria', '144043', '148538', '159615'], ['9', 'mihail kogălniceanu international airport', 'constanța', 'cnd / lrck', '60477', '68690', '74587'], ['10', 'oradea airport', 'oradea', 'omr / lrod', '38843', '41692', '36477'], ['11', 'craiova international airport', 'craiova', 'cra / lrcv', '12988', '15130', '23629'], ['12', 'suceava ștefan cel mare airport', 'suceava', 'scv / lrsv', '23398', '32561', '34437'], ['13', 'satu mare international airport', 'satu mare', 'suj / lrsm', '7298', '11101', '18859'], ['14', 'baia mare airport', 'baia mare', 'bay / lrbm', '22307', '23818', '19020'], ['15', 'arad international airport', 'arad', 'arw / lrar', '78047', '44743', '8359'], ['16', 'tulcea danube delta airport', 'tulcea', 'tce / lrtc', '788', '854', '427']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | Which year has the highest average passenger traffic for all airports, and what is the standard deviation of the passenger traffic for that year? | 2010, 1242692.58 |
0b3652d3488bbc5093a121328b1ff308 | tablebench-tqa | {'columns': ['rank', 'country', '2009', '2010', '2011'], 'data': [['1.0', 'china', '8038703', '8651831', '9174280'], ['2.0', 'italy', '8242500', '7787800', '7115500'], ['3.0', 'united states', '6629198', '6777731', '6756449'], ['4.0', 'france', '6101525', '5794433', '6588904'], ['5.0', 'spain', '5535333', '6107617', '5809315'], ['6.0', 'turkey', '4264720', '4255000', '4296351'], ['7.0', 'chile', '2600000', '2903000', '3149380'], ['8.0', 'argentina', '2181567', '2616613', '2750000'], ['9.0', 'iran', '2305000', '2225000', '2240000'], ['10.0', 'australia', '1797012', '1684345', '1715717'], [None, 'world', '58521410', '58292101', '58500118']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | What is the percentage difference between average annual growth rate of the values in the `2011` and the `2010` for the top 5 ranked countries? | -0.75% |
7c1ab41b76a1e613f892adbb60910e26 | tablebench-tqa | {'columns': ['Works No.', 'IMR No.', 'PPR No.', 'CSAR No.', 'BMR or RRM No.', 'NGR No.', 'SAR No.'], 'data': [['5677', '-', '-', '-', 'RRM 63', '-', '949'], ['5835', '128', '-', '373', '-', '-', '1032'], ['5836', '129', '-', '374', '-', '-', '1033'], ['5837', '130', '-', '375', '-', '-', '1034'], ['5813', '106', '-', '376', 'Pauling', '-', '1035'], ['5814', '107', '-', '377', '-', '-', '1036'], ['5815', '108', '-', '378', '-', '-', '1037'], ['5816', '109', '-', '379', '-', '-', '1038'], ['5817', '110', '-', '-', 'MR 19', '-', '1355 (7D)'], ['5818', '111', '-', '381', '-', '-', '1058'], ['5819', '112', '-', '382', '-', '-', '1039'], ['5820', '113', '-', '383', 'Pauling', '-', '1040'], ['5826', '119', '-', '384', '-', '327', '1055'], ['5822', '115', '-', '385', '-', '-', '1041'], ['5823', '116', '-', '386', '-', '-', '1042'], ['5824', '117', '-', '387', '-', '-', '1043'], ['5825', '118', '-', '388', '-', '-', '1044'], ['5830', '123', '-', '389', '-', '328', '1056'], ['5827', '120', '-', '390', '-', '-', '1045'], ['5828', '121', '-', '391', '-', '-', '1046'], ['5829', '122', '-', '392', '-', '-', '1047'], ['5821', '114', '-', '393', '-', '329', '1057'], ['5831', '124', '-', '394', '-', '-', '1048'], ['5832', '125', '-', '395', '-', '-', '1049'], ['5833', '126', '-', '396', '-', '-', '1050'], ['5834', '127', '-', '397', '-', '-', '1051'], ['5904', '-', '7', '398', '-', '-', '1052'], ['5905', '-', '8', '399', '-', '-', '1053'], ['5906', '-', '9', '400', '-', '-', '1054']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | What is the median value of the CSAR No. column, excluding rows with missing values? | 387 |
ee009a0f9f99dec7ff6db9ec51e3082d | tablebench-tqa | {'columns': ['Year', 'Conservative\ncouncillors', 'Labour\ncouncillors', 'Independent\ncouncillors', 'Liberal\ncouncillors'], 'data': [['1947', '3', '2', '18', '1'], ['1951', '5', '2', '17', '0'], ['1952', '3', '3', '18', '0'], ['1953', '4', '3', '17', '0'], ['1954', '3', '4', '17', '0'], ['1955', '2', '5', '17', '0'], ['1956', '2', '6', '16', '0'], ['1957', '2', '5', '17', '0'], ['1958', '2', '6', '16', '0'], ['1960', '2', '5', '16', '1'], ['1961', '2', '5', '15', '2'], ['1963', '2', '6', '12', '4'], ['1964', '3', '6', '11', '4'], ['1965', '4', '5', '11', '3'], ['1966', '9', '4', '6', '5'], ['1967', '9', '4', '9', '2'], ['1972', '10', '10', '3', '1']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | What is the average annual change in the number of Conservative councillors from 1947 to 1972? | 0.29 |
5a118654a5c97985b6778b93673e8ba0 | tablebench-tqa | {'columns': ['name', 'team', 'qual 1', 'qual 2', 'best'], 'data': [['sãbastien bourdais', 'n / h / l racing', '58.783', '58.288', '58.288'], ['justin wilson', 'rsports', '59.099', '58.299', '58.299'], ['oriol servia', 'forsythe racing', '58.801', '58.661', '58.661'], ['simon pagenaud', 'team australia', '59.341', '58.664', '58.664'], ['bruno junqueira', 'dale coyne racing', '59.547', '58.675', '58.675'], ['alex tagliani', 'rsports', '59.737', '58.779', '58.779'], ['will power', 'team australia', '1:01.040', '58.79', '58.79'], ['jan heylen', 'conquest racing', '59.813', '58.816', '58.816'], ['neel jani', 'pkv racing', '1:00.123', '58.834', '58.834'], ['paul tracy', 'forsythe racing', '59.368', '58.882', '58.882'], ['ryan dalziel', 'pacific coast motorsports', '59.880', '58.912', '58.912'], ['robert doornbos', 'minardi team usa', '59.132', '59.024', '59.024'], ['dan clarke', 'minardi team usa', '59.288', '59.263', '59.263'], ['tristan gommendy', 'pkv racing', '59.624', '59.265', '59.265'], ['graham rahal', 'n / h / l racing', '59.456', '59.384', '59.384'], ['katherine legge', 'dale coyne racing', '59.520', '59.562', '59.52'], ['alex figge', 'pacific coast motorsports', '1:00.880', '59.973', '59.973']]} | null | {'qtype': 'DataAnalysis', 'qsubtype': 'StatisticalAnalysis'} | Can you calculate the median of the `qual 2` times for drivers who are part of teams that have more than one driver represented in the table? | 58.86 |
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