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 |
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485b450b0ede043ce95109c0e9057578 | 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'... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a pie chart that shows the proportions of all species in Costa Rica. | y_references = [[183, 838, 232, 258, 12119]] |
64664032a7a369ee8b22f988514f1107 | tablebench-tqa | {'columns': ['Party', 'Candidate', 'Votes', '%', '∆%'], 'data': [['Conservative', 'Joe Daniel', '14,422', '36.78', '+5.78'], ['Liberal', 'Yasmin Ratansi', '13,552', '34.56', '-13.51'], ['New Democratic', 'Mary Trapani Hynes', '9,878', '25.19', '+11.87'], ['Green', 'Akil Sadikali', '1,114', '2.84', '-4.05'], ['Christian... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a pie chart showing the vote share of candidates from various political parties. | y_references = [[14422, 13552, 9878, 1114, 246]] |
4119f4674c16142eed9eef4730b2c75f | 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... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw an area chart showing the number of births and deaths during different time periods. | y_references = [[9000, 10000, 12000, 13000, 16000, 18000, 20000, 21000, 19000, 16000, 15000, 15000],[5000, 6000, 6000, 7000, 7000, 8000, 8000, 8000, 7000, 5000, 5000, 5000] ] |
b1ea3f96d887432df9bb3aa3bcf800d6 | tablebench-tqa | {'columns': ['Ethnicity', '1880', '1899', '1913', '19301', '1956', '1966', '1977', '1992', '2002'], 'data': [['All', '139,671', '258,242', '380,430', '437,131', '593,659', '702,461', '863,348', '1,019,766', '971,643'], ['Romanian', '43,671 (31%)', '118,919 (46%)', '216,425 (56.8%)', '282,844 (64.7%)', '514,331 (86.6%)'... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a percentage stacked bar chart that shows the proportion of different ethnic populations over time. | y_references = [[31, 46, 56.8, 64.7, 86.6, 88.7, 90.9, 90.8, 90.9], [17, 14, 13.4, 9.6, 0.13, 0.07, 0.05, 0.03, 0.01], [13, 4, 5.3, 5, 2, 2.3, 2.5, 2.7, 2.8], [21, 11, 5.6, 3.6, 3.4, 3.1, 2.65, 2.4, 2.4], [6, 5, 9.4, 6, 5, 4.35, 2.8, 2.6, 2.2], [0.3, 5, 9.4, 0.01, 1.18, 0.73, 0.3, 0.4, 0.1], [1.7, 3, 2, 2.75, 0.12, 0.0... |
b0bce3c8708c147f9d7b85cac2fb8549 | tablebench-tqa | {'columns': ['Pos', 'No', 'Driver', 'Constructor', 'Lap', 'Gap'], 'data': [['1', '98', 'Walt Faulkner', 'Kurtis Kraft-Offenhauser', '4:27.97', '–'], ['2', '28', 'Fred Agabashian', 'Kurtis Kraft-Offenhauser', '4:31.10', '+ 3.13'], ['3', '31', 'Mauri Rose', 'Deidt-Offenhauser', '4:32.07', '+ 4.10'], ['4', '5', 'George Co... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a line chart showing the time difference between all competitors and the first-place finisher. | y_references = [[0, 3.13, 4.10, 4.42, 4.46, 5.03, 6.70, 6.95, 7.35, 7.93, 9.79, 2.89, 5.45, 9.49, 9.98, 5.35, 6.46, 6.99, 7.28, 7.99, 9.71, 3.34, 3.86, 4.94, 5.60, 7.35, 8.10, 9.04, 9.08, 9.60, 10.64, 10.65, 9.61]] |
a7b1009dbaec71cea179c8bc90230152 | 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', '19,020', '9,985'], ['University of East Anglia', 'Norwich', '1... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a bar chart showing the average funding per student for all the schools listed in the table. | y_references = [[524.97, 841.56, 852.61, 1121.34, 1071.93, 1468.29, 1375.31, 1256.55, 1797.77, 1599.56, 1304.55]] |
193c026fe2590582330b4506df2091bc | tablebench-tqa | {'columns': ['Unnamed: 0', 'agglutination', 'synthesis', 'compounding', 'derivation', 'inflection', 'prefixing', 'suffixing'], 'data': [['Swahili', '0.67', '2.56', '1.0', '0.03', '0.31', '0.45', '0.16'], ['spoken Turkish', '0.67', '1.75', '1.04', '0.06', '0.38', '0.0', '0.44'], ['written Turkish', '0.6', '2.33', '1.0',... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a radar chart that displays the extent to which various language features are represented in English. | y_references = [[0.30, 1.67, 1.00, 0.09, 0.32, 0.02, 0.38]] |
76bd1c55217e71d2dad443c1499400dc | tablebench-tqa | {'columns': ['Team', 'Year', 'Regular Season\nWon', 'Regular Season\nLost', 'Regular Season\nTies', 'Regular Season\nWin %', 'Regular Season\nFinish', 'Post Season\nWon', 'Post Season\nLost', 'Post Season\nWin %', 'Post Season\nResult'], 'data': [['DEN', '1981', '10', '6', '0', '0.625', '2nd in AFC West', '-', '-', '-'... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a stacked bar chart showing the number of wins, losses, and draws, along with the total number of games played by the ATL team in the regular season from 1997 to 2003. | y_references = [[7, 14, 5, 4, 7, 9, 3],[9, 2, 11, 12, 9, 6, 10],[0, 0, 0, 0, 0, 1, 0]] |
f4d60e32414319753c3f708a4b9664ea | tablebench-tqa | {'columns': ['Rank', 'Title', 'Studio', 'Actors', 'Gross'], 'data': [['1.0', 'Star Wars*', 'Lucasfilm/20th Century Fox', 'Mark Hamill, Harrison Ford, Carrie Fisher, Peter Cushing, Alec Guinness, David Prowse, James Earl Jones, Anthony Daniels, Kenny Baker and Peter Mayhew', '$460,998,007'], ['2.0', 'Smokey and the Band... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a pie chart showing the box office earnings of the top ten ranked movies. | y_references = [[460998007, 300000000, 166000000, 139486124, 102000000, 71215869, 51061196, 50800000, 50681884, 46838673]] |
8d2f95dcfcff9966314745491802b50c | tablebench-tqa | {'columns': ['#', 'Name', 'Hanzi', 'Hanyu Pinyin', 'Population (2003 est.)', 'Area (km²)', 'Density (/km²)'], 'data': [['1', 'Aimin District', '爱民区', 'Àimín Qū', '230,000', '359', '641'], ['2', "Dong'an District", '东安区', "Dōng'ān Qū", '180,000', '566', '318'], ['3', 'Yangming District', '阳明区', 'Yángmíng Qū', '160,000',... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a bar chart showing the population, area, and density information for each region. | y_references = [[230000, 180000, 160000, 210000, 330000, 60000, 440000, 440000, 210000, 450000],[359, 566, 358, 325, 6094, 427, 9877, 7870, 7368, 7191],[641, 318, 447, 646, 54, 141, 45, 56, 29, 63]] |
7b4151479725d585c4b0be8c8ae4f9ed | tablebench-tqa | {'columns': ['Event', 'Gold', 'Gold.1', 'Silver', 'Silver.1', 'Bronze', 'Bronze.1'], 'data': [['60 metres', 'Nelli Cooman (NED)', '7.17', 'Melanie Paschke (GER)', '7.19', 'Patricia Girard (FRA)', '7.19'], ['200 metres', 'Galina Malchugina (RUS)', '22.41', 'Silke Knoll (GER)', '22.96', 'Jacqueline Poelman (NED)', '23.43... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a scatter plot showing the relationship between the length of the event and the time taken by the winning athletes in all the running events of this competition | y_references = [[7.17, 22.41, 51.62, 120.42, 246.46, 530.47]] |
d460758d99ecaaf80409bcf5c8918b8a | tablebench-tqa | {'columns': ['Date', 'Time (EDT)', 'Team #1', 'Res.', 'Team #2', 'Round', 'Spectators'], 'data': [['1994-06-18', '16.0', 'Italy', '0–1', 'Republic of Ireland', 'Group E', '75,338'], ['1994-06-23', '16.0', 'Italy', '1–0', 'Norway', 'Group E', '74,624'], ['1994-06-25', '12.3', 'Saudi Arabia', '2–1', 'Morocco', 'Group F',... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a line chart showing the relationship between the number of spectators and the dates of the matches. | y_references = [[75338, 74624, 76322, 72404, 71030, 72000, 74110]] |
3bba76d2d41024fde7d3061dc3e4c230 | tablebench-tqa | {'columns': ['Year', 'Team', 'GP', 'Att', 'Yds', 'Avg', 'Long', 'Rush TD', 'Rec', 'Yds.1', 'Avg.1', 'Long.1', 'Rec TD'], 'data': [['1981', 'San Diego Chargers', '14', '109', '525', '4.8', '28', '3', '46', '329', '7.2', '29', '3'], ['1982', 'San Digeo Chargers', '9', '87', '430', '4.9', '48', '6', '13', '66', '5.1', '12... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a line chart showing the trend in the athlete's number of attacks | y_references = [[ 109, 87, 127, 103, 192, 205, 94, 182, 221, 195, 152, 5, 13 ]] |
fcec735ee13d0a97869221546baacd18 | tablebench-tqa | {'columns': ['Value', 'Diameter', 'Composition', '1979–1989\nObverse', '1979–1989\nReverse'], 'data': [['1 cent', '18 mm', 'Bronze', 'State arms', 'Frigate Birds'], ['2 cents', '21 mm', 'Bronze', 'State arms', "B'abal plant"], ['5 cents', '19 mm', 'Cupronickel', 'State arms', 'Tokay gecko'], ['10 cents', '24 mm', 'Cupr... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a scatter plot showing the relationship between the coin value and its diameter length. | y_references = [[18, 21, 19, 24, 29, 32, 30, 29]] |
7b87f70bc3d95922c6b3335e7a737fe2 | tablebench-tqa | {'columns': ['Year', 'Team', 'GP', 'GS', 'MPG', 'FG%', '3P%', 'FT%', 'RPG', 'APG', 'SPG', 'BPG', 'PPG'], 'data': [['1993–94', 'Golden State', '76', '76', '32.1', '0.552', '0.0', '0.532', '9.1', '3.6', '1.2', '2.2', '17.5'], ['1994–95', 'Washington', '54', '52', '38.3', '0.495', '0.276', '0.502', '9.6', '4.7', '1.5', '1... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a radar chart, showing the average rebounds, assists, steals, and blocks per game for this athlete in the 2006-07 season. | y_references = [[7.5, 3.2, 1.0, 0.7]] |
0e5d24e99ce2be597d1da273d8d0ed83 | tablebench-tqa | {'columns': ['Name', 'County', 'Population\n(2012 est.)', 'Population\n(2010)', 'Land area'], 'data': [['Aberdeen', 'Grays Harbor', '16,529', '16,896', '10.65 sq mi (27.6 km2)'], ['Airway Heights', 'Spokane', '6,363', '6,114', '5.63 sq mi (14.6 km2)'], ['Algona', 'King', '3,074', '3,015', '1.29 sq mi (3.3 km2)'], ['Ana... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a bar chart that displays the population density of the top 10 regions listed in this table. | y_references = [[3954.93, 2520.11, 2481.6, 2382.95, 1980.22, 1552.02, 1355.57, 1209.52, 1130.2, 842.56]] |
0f41d5fef6881d303cee5f6a37993555 | tablebench-tqa | {'columns': ['Name', 'Street address', 'Years as tallest', 'Height\nft (m)', 'Floors'], 'data': [['Globe Building', '4th Street South', '1882–1886', '157 (48)', '8'], ['Lumber Exchange Building', '10 5th Street South', '1886–1887', '165 (50)', '12'], ['Industrial Exposition Building', 'Central Avenue Southeast and Main... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a line chart showing the trend in the maximum building height in the city over different time periods | y_references = [[48, 50, 73, 79, 104, 137, 241]] |
bf75201c615c8bb7f27ad1b146d5c447 | tablebench-tqa | {'columns': ['Year', 'Total\npassengers', 'Passenger\nChange', 'Domestic', 'International\n(total)', 'International\n(non-CIS)', 'CIS', 'Aircraft\nLandings', 'Cargo\n(tonnes)'], 'data': [['2000', '930 251', '+2%', '698 957', '231 294', '155 898', '75 396', '8 619', '18 344'], ['2001', '1 028 295', '+10,5%', '733 022', ... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please help me draw a stacked bar chart showing the trends in domestic flight passenger count, international flight non-CIS passenger count, and CIS passenger count from 2000 to 2013. | y_references = [[ 698957, 733022, 793295, 879665, 972287, 1006422, 1128489, 1486888, 1523102, 1290639, 1529245, 1856948, 1934016, 2180227 ],[ 155898, 186861, 239461, 297421, 429049, 429790, 488954, 683092, 815124, 727718, 1017509, 1184771, 1448765, 2112775 ],[ 75396, 108412, 150059, 158671, 152292, 130580, 147505, 1751... |
a7f2932c5e2c34ae2d673fa9c9bb3e5c | tablebench-tqa | {'columns': ['Rank', 'Nation', 'Gold', 'Silver', 'Bronze', 'Total'], 'data': [['1', 'Soviet Union (URS)', '4', '1', '6', '11'], ['2', 'Yugoslavia (YUG)', '2', '0', '1', '3'], ['3', 'West Germany (FRG)', '1', '1', '1', '3'], ['4', 'Bulgaria (BUL)', '1', '1', '0', '2'], ['4', 'Czechoslovakia (TCH)', '1', '1', '0', '2'], ... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw an appropriate chart showing the number of gold, silver, and bronze medals for each country. | y_references = [[4, 2, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],[1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0],[6, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 1, 1]] |
d6d1f7594c6772b9f7a3b8f4ae21d647 | tablebench-tqa | {'columns': ['Game', 'Date', 'Opponent', 'Location', 'Score', 'OT', 'Attendance', 'Record'], 'data': [['1', 'January 8, 2005', 'Philadelphia Wings', 'Arrowhead Pond', 'W 13–10', None, '5,732', '1–0'], ['2', 'January 22, 2005', 'Rochester Knighthawks', 'Arrowhead Pond', 'L 11–15', None, '4,053', '1–1'], ['3', 'January 2... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a waterfall chart showing the trend in the team's attendance over time. | y_references = [[5732, -1679, 8461, -8355, 2154, 2492, 745, -5050, -1, 11771, -11248, -188, 13492, -13359, 924, 1840]] |
981a69b6740520bc07087f0d51cbd353 | tablebench-tqa | {'columns': ['Year', 'Network', 'NASCAR\nCountdown', 'Lap-by-lap', 'Color commentator(s)', 'Pit reporters', 'Ratings', 'Viewers'], 'data': [['2007', 'ESPN', 'Brent Musburger\nSuzy Kolber\nBrad Daugherty', 'Jerry Punch', 'Rusty Wallace\nAndy Petree', 'Dave Burns\nJamie Little\nAllen Bestwick\nMike Massaro', '4.2 (4.9 ca... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a waterfall chart showing the trend in the viewership of the program. | y_references = [[6574000.0, 94000.0, -181000.0, -778000.0, 628000.0, -1237000.0, 400000.0]] |
498ad888af0138fb83a16a69d424fde5 | tablebench-tqa | {'columns': ['Club', 'Winners', 'Runner-ups', 'Winning Years', 'Runner-up Years'], 'data': [['FK Austria Wien', '6', '2', '1990, 1991, 1992, 1994, 2003, 2004', '1986, 1994'], ['SK Rapid Wien', '4', '1', '1986, 1987, 1988, 2008', '1995, 1996'], ['SK Sturm Graz', '3', '2', '1996, 1998, 1999', '1997, 2002'], ['SV Austria ... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a bar chart showing the number of times each club has won first and second place in the competition. | y_references = [[6, 4, 3, 3, 2, 1, 1, 0, 0, 0, 0, 0, 0],[2, 1, 2, 0, 1, 1, 1, 6, 1, 1, 1, 1, 1]] |
148dedc65365084819c4c9faddbe9be8 | tablebench-tqa | {'columns': ['#', 'Date', 'Venue', 'Opponent', 'Score', 'Result', 'Competition'], 'data': [['1.0', '24 December 2005', 'Phang Nga, Thailand', 'Latvia', '1–1', 'Draw', "2005 King's Cup"], ['2.0', '26 March 2006', 'Chonburi, Thailand', 'Philippines', '5–0', 'Win', 'Friendly'], ['3.0', '26 March 2006', 'Chonburi, Thailand... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a line chart showing the cumulative number of wins for the team. | y_references = [[0, 1, 2, 3, 3, 3, 3, 4, 5, 6, 6, 7, 8, 8, 9, 9, 9, 9]] |
4b2841ba16f37577872a2fba979e3733 | tablebench-tqa | {'columns': ['Position', 'Club', 'Played', 'Points', 'Wins', 'Draws', 'Losses', 'Goals for', 'Goals against', 'Goal Difference'], 'data': [['1', 'UE Lleida', '38', '57+19', '23', '11', '4', '56', '20', '36'], ['2', 'Real Valladolid', '38', '52+14', '20', '12', '6', '50', '30', '20'], ['3', 'Racing de Santander', '38', ... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a stacked bar chart showing the match statistics for each team. | y_references = [[23, 20, 23, 21, 16, 15, 17, 15, 13, 13, 14, 10, 13, 12, 9, 10, 11, 7, 7, 8],[11, 12, 6, 8, 11, 12, 8, 9, 13, 10, 8, 15, 8, 9, 15, 12, 10, 11, 10, 8],[4, 6, 9, 9, 11, 11, 13, 14, 12, 15, 16, 13, 17, 17, 14, 16, 17, 20, 21, 22]] |
c6efb6d1181b8e94551ca81c9073a942 | tablebench-tqa | {'columns': ['Date', 'Name', 'Nationality', 'Tonnage\n(GRT)', 'Fate'], 'data': [['18 January 1940', 'Flandria', 'Sweden', '1,179', 'Sunk'], ['19 January 1940', 'Patria', 'Sweden', '1,188', 'Sunk'], ['11 February 1940', 'Linda', 'Estonia', '1,213', 'Sunk'], ['4 May 1940', 'San Tiburcio', 'United Kingdom', '5,995', 'Sunk... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a horizontal bar chart showing the tonnage of sunken ships in the table. | y_references = [5995, 3256, 1930, 1908, 1213, 1188, 1179, 552] |
a6b59f9af78c3d51a9219fe299c43ca2 | tablebench-tqa | {'columns': ['Rank', 'Heat', 'Nation', 'Competitors', 'Time', 'Notes'], 'data': [['1.0', '2', 'United States', 'Kelly Willie, Derrick Brew, Andrew Rock, Darold Williamson', '2:59.30', 'Q'], ['2.0', '2', 'Nigeria', 'James Godday, Musa Audu, Saul Weigopwa, Enefiok Udo-Obong', '3:01.60', 'Q, SB'], ['3.0', '2', 'Bahamas', ... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a waterfall chart using the completion time of the first-place finisher as a baseline, showing the completion times of each participant in the competition | y_references = [[0.0, 2.3, 2.44, 3.1, 3.41, 3.47, 3.76, 4.02, 4.05, 4.39, 4.71, 4.97, 5.09, 5.73, 0.0, 0.0]] |
de91298e29cf142ece5d370e2687c1fc | tablebench-tqa | {'columns': ['Year', 'Total', 'Serbs', 'Hungarians', 'Germans', 'Romanians', 'Slovaks'], 'data': [['1910', '566,400', '229,568 (40.5%)', '108,622 (19.2%)', '125,374 (22.1%)', '73,303 (12.9%)', '16,223 (2,9%)'], ['1921', '559,096', '235,148 (42.1%)', '98,463 (17.6%)', '126,519 (22.6%)', '66,433 (11,9%)', '17,595 (3,2%)'... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a pie chart showing the racial composition of the region in the year 1948 | y_references = [358067, 110446, 17522, 55678, 20685, 39228] |
7cfdc47e6cfdc865ffb5d0a9ddd1d380 | tablebench-tqa | {'columns': ['Rank', 'City', 'Passengers', 'Ranking', 'Airline'], 'data': [['1', 'Quintana Roo, Cancún', '132,046', None, 'Aeroméxico Connect, Interjet, Volaris'], ['2', 'Nuevo León, Monterrey', '106,513', None, 'Aeroméxico Connect, Interjet'], ['3', 'Guerrero, Acapulco', '56,069', None, 'Aeroméxico Connect, Interjet']... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a bar chart displaying the number of passengers for each city | y_references = [[132046, 106513, 56069, 52584, 43419, 37526, 35507, 14906, 6928, 3619]] |
186b646cdd698ceabbb2738e0e5e9e6b | 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', ... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a radar chart displaying the performance of the painter Guercino in various aspects. | y_references = [18, 10, 10, 4] |
3f2df3c4c7b0a42c92cd2ee6ef61ac49 | tablebench-tqa | {'columns': ['Year', 'Majors', 'ATP wins', 'Total wins', 'Earnings (US$)', 'Money list rank'], 'data': [['2002', '0', '0', '0', '101,122', '165.0'], ['2003', '0', '0', '0', '277,743', '79.0'], ['2004', '0', '0', '0', '579,375', '38.0'], ['2005', '0', '1', '1', '702,670', '27.0'], ['2006', '0', '2', '2', '1,276,265', '9... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a line chart showing the Earnings received by the player from 2002 to 2010 | y_references = [101122, 277743, 579375, 702670, 1276265, 209610, 600326, 197818, 52464] |
83152b654dce2311e6036b3d951bfc77 | tablebench-tqa | {'columns': ['Leg', 'Stage', 'Time', 'Name', 'Length', 'Winner', 'Time.1', 'Avg. spd.', 'Rally leader'], 'data': [['1\n(16 Feb)', 'SS1', '07:43', 'Loten 1', '30.30 km', 'M. Hirvonen', '16:14.1', '111.98 km/h', 'M. Hirvonen'], ['1\n(16 Feb)', 'SS2', '08:34', 'Haslemoen', '11.92 km', 'S. Loeb', '8:08.4', '87.86 km/h', 'M... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a bar chart showing the cumulative lengths at each stage of this competition | y_references = [30.3, 42.22, 72.52, 86.88, 101.52, 116.12, 137.41, 144.16, 188.43, 201.14, 225.5, 231.48, 258.78, 259.92, 284.28, 311.58, 312.72, 356.99] |
b4eb57e9a160eb8d608dd549f1d97112 | tablebench-tqa | {'columns': ['League', 'League.1', 'Position', 'Teams', 'Matches', 'Win', 'Lose'], 'data': [['V.League', '7th (2000-01)', '4th', '10', '18', '9', '9'], ['V.League', '8th (2001-02)', '4th', '9', '16', '14', '2'], ['V.League', '9th (2002-03)', '3rd', '8', '21', '12', '9'], ['V.League', '10th (2003-04)', 'Runner-up', '10'... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Please draw a stacked bar chart showing the number of wins and losses for this team in various matches | y_references = [[9, 14, 12, 13, 11, 20, 11, 23, 20, 21, 19, 18, 20],[9, 2, 9, 5, 16, 7, 16, 4, 7, 7, 7, 3, 8]] |
10374c30d690bc6605ca2037c06541ef | tablebench-tqa | {'columns': ['Position', 'Team', 'Points', 'Played', 'Won', 'Drawn', 'Lost', 'For', 'Against', 'Difference'], 'data': [['1', 'Paulistano', '30', '18', '14', '2', '2', '62', '19', '43'], ['2', 'Palestra Itália-SP', '29', '18', '14', '1', '3', '59', '21', '38'], ['3', 'Corinthians', '26', '18', '12', '2', '4', '51', '16'... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Draw a percentage stacked bar chart displaying the win-loss-draw percentages for each team | y_references = [77.78, 77.78, 66.67, 61.11, 38.89, 33.33, 20.0, 26.67, 20.0, 6.67, 11.11, 5.56, 11.11, 16.67, 11.11, 5.56, 33.33, 13.33, 0.0, 0.0, 11.11, 16.67, 22.22, 22.22, 50.0, 61.11, 46.67, 60.0, 80.0, 93.33] |
ac9369e40bb0b3a23bbb92a0bae9b678 | tablebench-tqa | {'columns': ['Interferometer and observing mode\tWaveband\tLimiting magnitude\tMinimum baseline (m)\\n(un-projected)\tMaximum baseline (m)\tApprox. no. visibility measurements per year\\n(measurements per night x nights used per year)\tMax ratio of no. phase / no. amplitude measurements\\n(measure of imaging performanc... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Draw a grouped bar chart showing the maximum and minimum baselines for different Interferometer and observing modes. | y_references = [[34, 4, 4, 10, 6, 10, 85, 0.5, 30, 5, 86, 5, 46, 46, 46, 12, 46, np.nan],[330, 60, 60, 65, 30, 50, 85, 9, 30, 300, 110, 640, 130, 130, 130, 200, 130, 200]] |
a289c37617f27573e8568ede1ef81561 | tablebench-tqa | {'columns': ['year', 'typhus', 'typhoid fever', 'relapsing fever', 'smallpox', 'malaria'], 'data': [['1913', '120', '424', '30', '67', '3600'], ['191822', '1300', '293', '639', '106', '2940 (avg)'], ['1929', '40', '170', '6', '8', '3000'], ['1930', '60', '190', '5', '10', '2700'], ['1931', '80', '260', '4', '30', '3200... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Draw a pie chart depicting the proportions of cases for various infectious diseases in the year 1933 | y_references = [[800, 210, 12, 38, 6500]] |
effc38cfdbb5023b3a88c474e66e3f83 | tablebench-tqa | {'columns': ['song', 'mobiles', 'northern ireland', 'northern england', 'scotland', 'southern england', 'wales', 'total'], 'data': [['groovy chick', '10', '3', '2', '3', '2', '3', '23'], ['clear the air', '5', '5', '10', '8', '3', '4', '35'], ['devil in a hood', '4', '1', '3', '4', '4', '1', '17'], ['in my life', '2', ... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Draw a percentage bar chart that shows the percentage of total sales for each song in different regions | y_references = [[43.48, 14.29, 23.53, 5.56, 18.6, 7.69, 11.54, 13.04, 14.29, 5.88, 16.67, 18.6, 15.38, 15.38, 8.7, 28.57, 17.65, 22.22, 9.3, 7.69, 23.08, 13.04, 22.86, 23.53, 13.89, 23.26, 7.69, 23.08, 8.7, 8.57, 23.53, 13.89, 18.6, 46.15, 3.85, 13.04, 11.43, 5.88, 27.78, 11.63, 15.38, 23.08]] |
82f9c9423754f76241ef44ad06504164 | tablebench-tqa | {'columns': ['Row Header', 'Quarter Ended March 31 ', 'Quarter Ended June 30 ', 'Quarter Ended September 30 ', 'Quarter Ended December 31 '], 'data': [['Operating revenue', '$9,589', '$11,402', '$11,380', '$10,888'], ['Income from operations', '495', '1,472', '1,473', '861'], ['Net income', '292', '1,052', '1,024', '64... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Can you create a line chart that displays the company's operating revenue over the four quarters, with a separate line for 2018's operating revenue, to visualize the trend and comparison between the two years? | y_references = [['$9,589', '$11,402', '$11,380', '$10,888'], ['$9,032', '$10,777', '$11,003', '$10,491']] |
1c5c0e7e18b6e11f8c7b9ef00ef8b137 | tablebench-tqa | {'columns': ['county', 'obama%', 'obama', 'mccain%', 'mccain', 'total'], 'data': [['bernalillo', '60.66%', '168406', '39.34%', '109212', '277618'], ['catron', '32.07%', '659', '67.93%', '1396', '2055'], ['chaves', '37.45%', '8160', '62.55%', '13630', '21790'], ['cibola', '64.91%', '3176', '35.09%', '1717', '4893'], ['c... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Could you create a bar chart to compare the total number of votes received by Obama and McCain in each county in New Mexico? | y_references = [[168406, 659, 8160, 3176, 3465, 4655, 358, 38574, 7289, 8092, 1541, 256, 990, 5084, 3482, 5709, 4289, 15993, 2156, 8602, 1546, 11245, 2270, 17645, 10128, 32102, 53802, 2351, 4643, 13384, 3068, 492], [109212, 1396, 13630, 1717, 2800, 9585, 676, 27211, 12468, 5381, 615, 357, 934, 13301, 5906, 4986, 3857, ... |
4f6dce1f412de0aafbf367e0f8b8bbb7 | tablebench-tqa | {'columns': ['township', 'county', 'pop (2010)', 'land ( sqmi )', 'water (sqmi)', 'latitude', 'longitude', 'geo id', 'ansi code'], 'data': [['tacoma', 'bottineau', '61', '39.385', '2.644', '48.668771', '- 100.852516', '3800977740', '1759300'], ['taft', 'burleigh', '32', '35.809', '0.142', '46.771542', '- 100.258025', '... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Could you create a bar chart to show the top 5 counties with the highest total land area (in square miles), with each bar representing a county and its corresponding land area? | y_references = [[192.944, 176.5, 142.016, 104.00200000000001, 103.255]] |
1c37b8e9a57afaa04e2549ddc058b08c | tablebench-tqa | {'columns': ['MGWR No.', 'Name', 'Builder', 'Introduced', 'D-bogie', 'GSR No.', 'Withdrawn'], 'data': [['2', 'Jupiter', 'Beyer-Peacock', '1880', '1900', '534', '1949'], ['3', 'Juno', 'Beyer-Peacock', '1880', '1901', '535', '1949'], ['25→4', 'Cyclops', 'Beyer-Peacock', '1880', '1901', '531', '1945'], ['26→5', 'Britania'... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Can you generate a horizontal bar chart to visualize the lifespan of each locomotive, with the x-axis representing the years and the y-axis representing the locomotive names? | y_references = [[69, 69, 65, 69, 68, 72]] |
d4d6a955f12c1e81e21bcb9aebb17f0c | tablebench-tqa | {'columns': ['rank', 'surname', 'number of bearers 1971', 'number of bearers 2009', 'type', 'etymology'], 'data': [['1', 'jensen', '368.631', '278.782', 'patronymic', 'son of jens'], ['2', 'nielsen', '349.126', '275.744', 'patronymic', 'son of niels'], ['3', 'hansen', '297.937', '231.221', 'patronymic', 'son of hans'],... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Can you create a bar chart that displays the top 10 surnames by their number of bearers in 2009 on the x-axis and the corresponding number of bearers on the y-axis, with each bar labeled by the surname? | y_references = [[278.78, 275.74, 231.22, 173.64, 165.87, 125.19, 122.71, 117.3, 99.24, 93.18]] |
bbda9a858ef116f491529e0fe820e1a9 | tablebench-tqa | {'columns': ['specimen weight / size', 'calculated activity ( bq )', 'calculated activity ( ci )', 'estimated activity gr (api)', 'estimated exposure ( mrem ) / hr'], 'data': [['1000 g / 8.79 cm', '183355', '4.9610 6', '8449.31', '2.78'], ['100 g / 4.08 cm', '18336', '4.9610 7', '844.93', '0.28'], ['10 g / 1.89 cm', '1... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Can you create a scatter plot to display the relationship between specimen weight/size and estimated exposure (mrem/hr)? | y_references = [[2.78, 0.28, 0.03, 0.0, 0.0, 0.0]] |
92dd1f500ae353c8d3cb4561626c578f | tablebench-tqa | {'columns': ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'], 'data': [['1', 'rcd español', '38', '52', '20', '12', '6', '59', '25', '+ 34'], ['2', 'real betis', '38', '51', '22', '7', '9', '66', '38', '+ 28'], ['3', 'sd compostela', '38', '49', '21', ... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Could you create a bar chart to compare the goal differences of the top 5 teams in the league, with each bar representing a team and its corresponding goal difference? | y_references = [34, 28, 20, 18, 27] |
a28aa98e66b222fe527ad474b890709b | tablebench-tqa | {'columns': ['epoch (utc)', 'periselene (km)', 'aposelene (km)', 'eccentricity', 'inclination (deg) (to moon equator)', 'period (h)'], 'data': [['november 15 , 2004 , 17:47:12.1', '6700.72', '53215.151', '0.776329', '81.085', '129.247777'], ['december 4 , 2004 10:37:47.3', '5454.925', '20713.095', '0.583085', '83.035',... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Can you generate a line chart to visualize the relationship between the periselene and aposelene distances over time, using the epoch (utc) as the x-axis? | y_references = [6700.72, 5454.92, 2751.51, 2208.66, 2283.74, 2291.25, 2256.09, 53215.15, 20713.1, 6941.36, 4618.22, 4523.11, 4515.86, 4549.2] |
93ba281742f9dcacc81800f11074ddcc | tablebench-tqa | {'columns': ['rank', 'company', 'headquarters', 'industry', 'sales (billion )', 'profits (billion )', 'assets (billion )', 'market value (billion )'], 'data': [['1', 'jpmorgan chase', 'usa', 'banking', '115.5', '17.4', '2117.6', '182.2'], ['2', 'hsbc', 'uk', 'banking', '103.3', '13.3', '2467.9', '186.5'], ['3', 'genera... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Could you create a bar chart to compare the sales of the top 5 companies in the oil and gas industry, with each bar representing a different company? | y_references = [[369.1, 341.6, 222.3, 189.6, 188.1]] |
62115c3dde92e599d85003e61d7debf3 | tablebench-tqa | {'columns': ['Model', 'Fuel Type', 'mpg (US gallons)', 'L/100 km', 'NZ Rating\n(Stars)'], 'data': [['Volkswagen Polo 1.4 TDI BLUEMOTION', 'diesel', '62.0', '3.8', '5.5'], ['Volkswagen Polo 1.4 TDI 5M', 'diesel', '52.0', '4.5', '5.5'], ['Volkswagen Polo 1.4 MAN', 'petrol', '36.7', '6.4', '4.5'], ['Volkswagen Polo 1.4 6A... | null | {'qtype': 'Visualization', 'qsubtype': 'ChartGeneration'} | Can you create a bar chart to compare the average 'mpg (US gallons)' for diesel and petrol fuel types? | y_references = [[42.0, 38.15]] |
fe23487e044cd65a27ea90fd0b13abb9 | tablebench-tqa | {'columns': ['club', 'played', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'], 'data': [['club', 'played', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'], ['oakdale rfc', '22', '... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which top3 factors in the table, such as 'played', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', and 'losing bonus', significantly contribute to the 'points' total for each club? | lost, points for, points against |
efaf118e6555dca460aef7313b577960 | 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']... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | How does the number of examinees affect the pass percentage over the years? | Positive impact |
72e6ff55259803f7c3bcd7d3c4f49c58 | tablebench-tqa | {'columns': ['year', 'candidates', 'total votes', 'average votes per candidate', '% of total vote', 'average % of vote per candidate', 'saved deposits', 'number of mps'], 'data': [['1974 - 02', '6', '4576', '763', '0.01', '1.67', '0', '0'], ['1974 - 10', '5', '1996', '399', '0.0', '0.91', '0', '0'], ['1979', '53', '399... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which is the main factors in the table, such as 'candidates', 'average votes per candidate', '% of total vote', 'average % of vote per candidate', and 'saved deposits', significantly influence the 'total votes' for each election year? | candidates |
37125493373f4dba45a76bf2ae812a57 | tablebench-tqa | {'columns': ['township', 'county', 'pop (2010)', 'land ( sqmi )', 'water (sqmi)', 'latitude', 'longitude', 'geo id', 'ansi code'], 'data': [['oak creek', 'bottineau', '24', '35.445', '0.0', '48.675399', '- 100.471642', '3800958700', '1759286'], ['oak valley', 'bottineau', '52', '36.016', '0.087', '48.777318', '- 100.51... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | How does the latitude of a township impact its population density? | No clear impact |
68f293a5fcdbc2dea70732f53710cb68 | 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', '4... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | What is the impact of urbanization on the overall population growth rate in the country between 1939 and 2008? | Positive impact |
01f66b6eca74f5c74f00158de9c93e86 | tablebench-tqa | {'columns': ['place', 'code', 'area (km 2 )', 'population', 'most spoken language'], 'data': [['boipatong', '70401', '1.62', '16867', 'sotho'], ['bophelong', '70402', '5.97', '37782', 'sotho'], ['evaton', '70404', '35.2', '143157', 'sotho'], ['orange farm', '70405', '3.79', '16720', 'zulu'], ['sebokeng', '70406', '32.8... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'area (km 2 )' or 'most spoken language', significantly influence the 'population' values for each place? If none have an effect, please reply 'no clear impact'. If none have an effect, please reply 'no clear impact'. | No clear impact |
faaef2c1a2e22fbcb12eb4f7176d0493 | tablebench-tqa | {'columns': ['rank', 'couple', 'judges', 'public', 'total', 'vote percentage', 'result'], 'data': [['1', 'hayley and daniel', '7', '6', '13', '25.1%', 'safe'], ['2', 'mikey and melanie', '3', '7', '10', '35.7%', 'safe'], ['3', 'gary and maria', '5', '5', '10', '13.5%', 'safe'], ['4', 'danny and frankie', '6', '3', '9',... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'judges', 'public', and 'vote percentage', contribute most to the 'result' of each couple in the competition? If none have an effect, please reply 'no clear impact'. | public |
2dbe1ffb001a27eda365ca2ed0808141 | tablebench-tqa | {'columns': ['2nd component', 'bp 2nd comp (˚c)', '3rd component', 'bp 3rd comp (˚c)', 'bp azeo (˚c)', '% wt 1st', '% wt 2nd', '% wt 3rd'], 'data': [['ethanol', '78.4', 'ethyl acetate', '77.1', '70.3degree', '7.8', '9.0', '83.2'], ['ethanol', '78.4', 'cyclohexane', '80.8', '62.1', '7', '17', '76'], ['ethanol', '78.4', ... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which is the main factor in the table, such as '2nd component', 'bp 2nd comp (˚c)', '3rd component', 'bp 3rd comp (˚c)', '% wt 2nd', and '% wt 3rd', significantly influence the 'bp azeo (˚c)' values for each mixture? | bp 3rd comp (˚c) |
508fe9a2f4bd075bc49909fb8e4743b6 | tablebench-tqa | {'columns': ['country', 'preliminaries', 'interview', 'swimsuit', 'evening gown', 'average'], 'data': [['missouri', '9.26', '9.84', '9.76', '9.77', '9.79'], ['california', '9.18', '9.76', '9.64', '9.66', '9.69'], ['pennsylvania', '9.32', '9.75', '9.63', '9.54', '9.64'], ['texas', '9.27', '9.39', '9.74', '9.72', '9.62']... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'preliminaries', 'interview', 'swimsuit', or 'evening gown', significantly influence the 'average' score for each country? If none have an effect, please reply 'no clear impact'. | interview, swimsuit, evening gown |
b0d1c123cc2d1124e9ef5faf9b110b34 | tablebench-tqa | {'columns': ['scorer', 'club', 'league goals', 'fa cup goals', 'league cup goals', 'total'], 'data': [['albert kinsey', 'wrexham', '27', '1', '1', '29'], ['jim hall', 'peterborough united', '24', '3', '1', '28'], ['jack howarth', 'aldershot', '19', '7', '0', '26'], ['stuart brace', 'grimsby town', '25', '0', '0', '25']... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'league goals', 'fa cup goals', or 'league cup goals', significantly contribute to the 'total' goals scored by each player? If none have an effect, please reply 'no clear impact'. | league goals |
3d4a4379fab0e72179a4a20199c27a18 | tablebench-tqa | {'columns': ['member state', 'population in millions', 'population % of eu', 'area km 2', 'area % of eu', 'pop density people / km 2'], 'data': [['european union', '494.8', '100%', '4422773', '100%', '112.0'], ['austria', '8.3', '1.7%', '83858', '1.9%', '99.0'], ['belgium', '10.5', '2.1%', '30510', '0.7%', '344.0'], ['... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'area km 2', 'area % of eu', or 'pop density people / km 2', significantly influence the 'population % of eu' for each member state? If none have an effect, please reply 'no clear impact'. | area km 2, area % of eu |
cda1bf9df5bc8991cf90095d46d8c9d2 | tablebench-tqa | {'columns': ['rank', 'rank fortune 500', 'name', 'headquarters', 'revenue (millions)', 'profit (millions)', 'employees', 'industry'], 'data': [['1', '17', 'sinopec', 'beijing', '131636.0', '3703.1', '681900', 'oil'], ['2', '24', 'china national petroleum', 'beijing', '110520.2', '13265.3', '1086966', 'oil'], ['3', '29'... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'industry', 'revenue (millions)', or 'employees', significantly influence the 'profit (millions)' values for the companies listed? If none have an effect, please reply 'no clear impact'. | revenue (millions) |
671f211ea1ceee8e6abf1907bbe3afb7 | tablebench-tqa | {'columns': ['rank', 'location', 'total passengers', 'annual change', 'capacity', 'capacity in use'], 'data': [['1', 'são paulo', '32777330', '9.24%', '26000000', '126 , 06%'], ['2', 'rio de janeiro', '17495737', '17.00%', '18000000', '97 , 19%'], ['3', 'são paulo', '16775770', '0.11%', '12000000', '139 , 79%'], ['4', ... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | What is the impact of a high annual change in total passengers on an airport's capacity in use? | No clear impact |
fde54f80bfc55153ce8d62c818c381df | tablebench-tqa | {'columns': ['subject', 'no sat', 'no passed', '% pass', 'highest mark', 'lowest mark', 'mean'], 'data': [['english', '55', '46', '84', '100', '37', '59'], ['mathematics', '55', '39', '71', '83', '36', '58'], ['biology', '17', '17', '100', '85', '54', '72'], ['chemistry', '20', '16', '80', '84', '43', '64'], ['physics'... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'no sat', 'highest mark', 'lowest mark', and 'mean',contribute most to the '% pass' values for each subject? If none have an effect, please reply 'no clear impact'. | lowest mark |
840df4699cdccf000eeb7b4de5544a6f | tablebench-tqa | {'columns': ['School', 'Location', 'Outright Titles', 'Shared Titles', 'Runners-Up', 'Total Finals', 'Last Title', 'Last Final'], 'data': [['Methodist College Belfast', 'Belfast', '35', '2', '25', '62', '2014.0', '2014'], ['Royal Belfast Academical Institution', 'Belfast', '29', '4', '21', '54', '2007.0', '2013'], ['Ca... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'Location', 'Shared Titles', 'Runners-Up', 'Total Finals', and 'Last Title', impact most on the 'Outright Titles' won by each school? If none have an effect, please reply 'no clear impact'. | Total Finals |
dc21011c28cb6d8b786c04c5a531dbfb | tablebench-tqa | {'columns': ['episode no', 'airdate', 'total viewers', 'share', 'bbc one weekly ranking'], 'data': [['1', '8 april 2010', '6700000', '24.8%', '6'], ['2', '15 april 2010', '5820000', '20.8%', '11'], ['3', '22 april 2010', '6367000', '23.7%', '7'], ['4', '6 may 2010', '5901000', '22.6%', '10'], ['5', '13 may 2010', '6751... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'airdate', 'total viewers' or 'share', significantly influence the 'bbc one weekly ranking'? If none have an effect, please reply 'no clear impact'. | total viewers, share |
084783c5325f5e96c17f174c4bf121d9 | tablebench-tqa | {'columns': ['Bank', 'Foundation', '# of Branches\nAs of 30 September 2012', 'Total Assets (million TL)\nAs of 30 September 2012'], 'data': [['Türkiye İş Bankası', '1924', '1,294', '210,535'], ['Ziraat Bankası', '1863', '1,510', '207,871'], ['Garanti Bank', '1946', '947', '154,550'], ['Akbank', '1948', '963', '150,241'... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | How does the number of branches impact the total assets of a bank? | Positive impact |
20e1c96525644ffc2d2b4f807f0c8901 | tablebench-tqa | {'columns': ['rank', 'company', 'headquarters', 'industry', 'sales (billion )', 'profits (billion )', 'assets (billion )', 'market value (billion )'], 'data': [['1', 'citigroup', 'usa', 'banking', '146.56', '21.54', '1884.32', '247.42'], ['2', 'bank of america', 'usa', 'banking', '116.57', '21.13', '1459.74', '226.61']... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which is the main factor in the table, such as 'sales (billion)', 'profits (billion)', and 'assets (billion)', significantly contribute to the 'market value (billion)' of the companies listed? | profits |
cec848df4b55e22fe694af2b6fcb7632 | 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'],... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as the year or the number of councillors from other parties, influence the number of Labour councillors over the years? If none have an effect, please reply 'no clear impact'. | Independent councillors |
9fdf969b7c66712da4f22c788a31c120 | tablebench-tqa | {'columns': ['group', 'half - life (s)', 'decay constant (s 1 )', 'yield , neutrons per fission', 'fraction'], 'data': [['1', '55.72', '0.0124', '0.00052', '0.000215'], ['2', '22.72', '0.0305', '0.00546', '0.001424'], ['3', '6.22', '0.111', '0.0031', '0.001274'], ['4', '2.3', '0.301', '0.00624', '0.002568'], ['5', '0.6... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'half-life (s)', 'decay constant (s-1)', or 'yield, neutrons per fission', significantly influence the 'fraction' values for each group? If none have an effect, please reply 'no clear impact'. | yield, neutrons per fission |
d5edf188f93efcfec0bcbc664b3b8445 | tablebench-tqa | {'columns': ['rocket', 'country', 'type', 'launches', 'successes', 'failures', 'partial failures'], 'data': [['ariane 5eca', 'europe', 'ariane 5', '6', '6', '0', '0'], ['atlas v 401', 'united states', 'atlas v', '1', '1', '0', '0'], ['atlas v 501', 'united states', 'atlas v', '2', '2', '0', '0'], ['atlas v 531', 'unite... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Did the introduction of the "Falcon 9" rocket type lead to an positive, negative, or no clear impact in the overall success rate of launches by the United States? | Positive impact |
502645e77ad3f4a83adb38da6c6168b7 | tablebench-tqa | {'columns': ['rank', 'airport', 'total passengers', '% change 2007 / 2008', 'international passengers', 'domestic passengers', 'transit passengers', 'aircraft movements', 'freight ( metric tonnes )'], 'data': [['1', 'london heathrow', '67054745', '1.5%', '61344438', '5562516', '147791', '478693', '1397054'], ['2', 'lon... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | How does a change in international passengers impact the rank of an airport? | No clear impact |
0e42de598bb2ba6aa566dea1a860d07d | tablebench-tqa | {'columns': ['inegi code', 'municipality', 'municipal seat', 'area (km 2 )', 'population (2005)', 'population density ( / km 2 )', 'human development index (2000)'], 'data': [['1', 'amealco de bonfil', 'amealco', '682.1', '56457', '82.8', '0.6803'], ['2', 'pinal de amoles', 'pinal de amoles', '705.37', '25325', '35.9',... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | How does the `human development index (2000)` impact the `population density ( / km 2 )` in municipalities with varying `area (km 2 )`? | Positive impact |
f3e0cdd74f999348fb59a6fabee6691e | tablebench-tqa | {'columns': ['year ended', 'revenue (million)', 'profit / (loss) before tax (m)', 'net profit (m)', 'earnings per share (p)'], 'data': [['2011', '5110', '193.7', '123.8', '38.2'], ['2010', '4830', '225.2', '159.0', '49.1'], ['2009', '4649', '257.8', '148.9', '46.4'], ['2008', '4177', '206.9', '142.2', '44.5'], ['2007',... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which is the main factor in the table, such as 'year ended' or 'revenue (million)', significantly influence the 'earnings per share (p)' values? | revenue |
ea9cf61bd99a190e303a617ba0abb869 | tablebench-tqa | {'columns': ['Unnamed: 0', 'Average population (x 1000)', 'Live births', 'Deaths', 'Natural change', 'Crude birth rate (per 1000)', 'Crude death rate (per 1000)', 'Natural change (per 1000)'], 'data': [['1970', '31', '683', '356', '327', '22.0', '11.5', '10.5'], ['1975', '33', '706', '374', '332', '21.4', '11.3', '10.1... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | How does a significant increase in natural change impact the average population growth rate over time? | Positive impact |
2c1aa2f249ca6fdf4a7fe2f47b3bd53c | tablebench-tqa | {'columns': ['commune', 'area (km 2 )', '2002 population', 'pop density (km 2 )', 'municipality website'], 'data': [['santiago (capital)', '22.4', '200792', '8963.9', 'link'], ['vitacura', '28.3', '81499', '2879.8', 'link'], ['san ramón', '6.5', '94906', '14600.9', 'link'], ['san miguel', '9.5', '78872', '8302.3', 'lin... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'area (km^2)' and '2002 population', significantly influence the 'pop density (km^2)' for each commune? If none have an effect, please reply 'no clear impact'. | No clear impact |
af979ad2c02be83e2c8dd7babeec312d | tablebench-tqa | {'columns': ['country', 'tourist arrivals (2011) (millions)', 'tourism receipts (2011) (millions of us)', 'tourism receipts (2011) (us per arrival)', 'tourism receipts (2011) (us per capita)', 'tourism receipts (2003) (as % of gdp)', 'tourism receipts (2003) (as % of exports)', 'tourism competitiveness (2011) (ttci)'],... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'tourist arrivals (2011) (millions)', 'tourism competitiveness (2011) (ttci)', or 'tourism receipts (2003) (as % of GDP)', significantly influence the 'tourism receipts (2011) (millions of US)' for each country? If none have an effect, please reply 'no clear impact'. | tourist arrivals |
c59e36b186373b9f86b9e0d7c41992af | tablebench-tqa | {'columns': ['epoch (utc)', 'periselene (km)', 'aposelene (km)', 'eccentricity', 'inclination (deg) (to moon equator)', 'period (h)'], 'data': [['november 15 , 2004 , 17:47:12.1', '6700.72', '53215.151', '0.776329', '81.085', '129.247777'], ['december 4 , 2004 10:37:47.3', '5454.925', '20713.095', '0.583085', '83.035',... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | What is the impact of an increase in eccentricity on the periselene and aposelene distances of an orbit? | Positive impact |
f039bcce7051c77924a8e9b2775e23c4 | tablebench-tqa | {'columns': ['name', 'municipal status', 'census division', 'population (2011)', 'population (2006)', 'change (%)', 'area (km square)', 'population density'], 'data': [['barrie', 'single - tier', 'simcoe', '136063', '128430', '5.9', '77.39', '1758.1'], ['belleville', 'single - tier', 'hastings', '49454', '48821', '1.3'... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'area (km square)', or 'population density', significantly influence the 'change (%)' in population for each municipality? If none have an effect, please reply 'no clear impact'. If none have an effect, please reply 'no clear impact'. | No clear impact |
4a9ffbf9e8babf2558133ff3ffa87d19 | tablebench-tqa | {'columns': ['region', 'land area (km 2 )', 'rainfall by depth (mm / year)', 'rainfall by volume (km 3 / year)', 'surface run off (km 3 / year)', 'infiltration (km 3 / year)', 'evapotranspiration (km 3 / year)'], 'data': [['chorotega', '9552.4', '2006', '19.2', '5.7', '3.5', '10.3'], ['huetar norte', '9001.5', '3527', ... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which top2 factors in the table, such as 'land area (km^2)', 'rainfall by depth (mm/year)', 'surface run off (km^3/year)', 'infiltration (km^3/year)', and 'evapotranspiration (km^3/year)', significantly influence the 'rainfall by volume (km^3/year)' for each region? | infiltration, surface run off |
7cc8b2834fad4efc63736b5d45f4617d | tablebench-tqa | {'columns': ['season', 'season premiere', 'season finale', 'tv season', 'rank', 'viewers (in millions)'], 'data': [['1', 'september 23 , 1995', 'may 22 , 1996', '1995 - 1996', '79', '11.56'], ['2', 'january 3 , 1997', 'april 18 , 1997', '1996 - 1997', '68', '11.8'], ['3', 'september 23 , 1997', 'may 19 , 1998', '1997 -... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'season', 'season premiere', 'season finale', 'tv season', or 'rank', significantly influence the 'viewers (in millions)' for each TV season? If none have an effect, please reply 'no clear impact'. | rank |
b068e116439a5805a7d328e24829a00e | tablebench-tqa | {'columns': ['annual ridership (2012)', 'rider per mile', 'opened', 'stations', 'lines'], 'data': [['2544892400', '37613', '1904', '468', '24'], ['280904200', '9227', '1976', '86', '5'], ['231154300', '7095', '1892', '145', '8'], ['165028800', '13982', '1897', '53', '3'], ['123219300', '4056', '1972', '44', '5'], ['981... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Did an increase of one line in a transportation system have a positive, negative, or no clear impact on annual ridership? | Positive impact |
e41eb9209114381d9de98dc4c249ed76 | tablebench-tqa | {'columns': ['type', 'numbers', 'year built', 'quantity built', 'power (horsepower)', 'max speed (km / h)'], 'data': [['rhn', '1011 - 1048 (power cars) 11 - 48 (trailer cars)', '1967', '38 + 38', '220', '90'], ['rts', 'd9 - d16 (power cars) ts4 - ts7 (center / trailer cars)', '1971', '8 + 4', '220', '70'], ['thn', '110... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | How does the increase in power (horsepower) impact the maximum speed (km / h) of the trains across different years? | Positive impact |
f34a3a13b56566338cc4338ae502c668 | tablebench-tqa | {'columns': ['season', 'series', 'team', 'races', 'wins', 'poles', 'laps', 'podiums', 'points', 'position'], 'data': [['2008', 'adac formel masters', 'team abt sportsline', '16', '0', '1', '1', '3', '91.0', '8th'], ['2009', 'adac formel masters', 'team abt sportsline', '16', '8', '7', '3', '10', '224.0', '1st'], ['2010... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'season', 'series', 'team', 'races', 'wins', 'poles', 'laps', and 'podiums', significantly contribute to the 'points' earned in each racing series? If none have an effect, please reply 'no clear impact'. | wins, podiums |
a728f926b6fe622a13dedab334d8c0ed | tablebench-tqa | {'columns': ['Province', 'DC', 'PSDI', 'PSI', 'PCI'], 'data': [['Verona', '53.4', '4.7', '18.2', '10.8'], ['Vicenza', '62.2', '4.4', '9.2', '9.4'], ['Padua', '59.6', '4.0', '11.1', '14.2'], ['Treviso', '59.9', '8.0', '11.9', '8.6'], ['Belluno', '53.7', '12.3', '11.3', '11.6'], ['Venice', '43.2', '6.0', '21.6', '19.7'],... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'PSDI', 'PSI', or 'PCI', significantly influence the 'DC' values for each province? If none have an effect, please reply 'no clear impact'. | PSI, PCI |
0bee2233eca7e83249d4dc7f850f47f8 | tablebench-tqa | {'columns': ['State', 'Swimsuit', 'Interview', 'Evening Gown', 'Average', 'Finalists'], 'data': [['Iowa', '9.267', '9.651', '9.62', '9.513', '9.8'], ['Oklahoma', '9.226', '9.309', '9.487', '9.341', '9.586'], ['Kansas', '9.221', '9.6', '9.6', '9.474', '9.486'], ['Alabama', '9.01', '9.326', '9.449', '9.262', '9.471'], ['... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors among 'Swimsuit', 'Interview', and 'Evening Gown' scores in the table significantly influence the 'Finalists' scores for each state? If none have an effect, please reply 'no clear impact'. | Evening Gown |
ebfb7f83b151375b826603749c259ed6 | tablebench-tqa | {'columns': ['lga name', 'area (km 2 )', 'census 2006 population', 'administrative capital', 'postal code'], 'data': [['port harcourt', '109', '541115', 'port harcourt', '500'], ['obio - akpor', '260', '464789', 'rumuodumaya', '500'], ['okrika', '222', '222026', 'okrika', '500'], ['ogu / bolo', '89', '74683', 'ogu', '5... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'area (km 2 )', 'administrative capital', or 'postal code', significantly influence the 'census 2006 population' for each LGA? If none have an effect, please reply 'no clear impact'. | No clear impact |
42d1e8631647f00f264fa84a37b4e899 | tablebench-tqa | {'columns': ['year ended', 'passengers flown', 'employees (average / year)', 'net profit / loss (sek)', 'basic eps (sek)'], 'data': [['2010', '25200000', '14801', '- 2218000000', '- 7.79'], ['2009', '24900000', '18786', '- 2947000000', '- 18.20'], ['2008', '29000000', '24635', '- 6360000000', '- 6.29'], ['2007', '29200... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'passengers flown', 'employees (average / year)', or 'basic eps', significantly impact the 'net profit / loss (sek)' values? If none have an effect, please reply 'no clear impact'. | basic eps |
485cc8d1dba2799b064e4b40e6294bd8 | tablebench-tqa | {'columns': ['year', 'competition', 'location', 'event', 'final - rank', 'final - score', 'qualifying rank', 'qualifying score'], 'data': [['2008', '2008 summer olympics', 'beijing', 'team', '2', '186.525', '2', '246.8'], ['2008', '2008 summer olympics', 'beijing', 'uneven bars', 'dnq', 'n / a', '23', '14.8'], ['2008',... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | What is the impact of competing in the Olympic trials versus the US championships on an athlete's final rank in the all-around event? | No clear impact |
25f235b2c12daacbafcf8299558bb29f | tablebench-tqa | {'columns': ['region', 'capital', 'area (km square)', 'area (sq mi)', 'population'], 'data': [['abruzzo', "l'aquila", '10763', '4156', '1342177'], ['aosta valley', 'aosta', '3263', '1260', '128129'], ['apulia', 'bari', '19358', '7474', '4090577'], ['basilicata', 'potenza', '9995', '3859', '587680'], ['calabria', 'catan... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Does an increase in the area of a region have a positive, negative, or no clear impact on its population? | No clear impact |
82326e0b5694b7754ab781cca80298e4 | tablebench-tqa | {'columns': ['election', 'of candidates nominated', 'of seats won', 'of total votes', '% of popular vote'], 'data': [['1984', '60', '0', '26921', '0.21%'], ['1988', '68', '0', '47228', '0.36%'], ['1993', '79', '0', '32979', '0.24%'], ['1997', '79', '0', '55583', '0.43%'], ['2000', '111', '0', '104402', '0.81%'], ['2004... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | How does the number of candidates nominated impact the percentage of popular vote over time? | Positive impact |
afe4150d5541286e91c8fabe0b055b73 | tablebench-tqa | {'columns': ['position', 'team', 'played', 'wins', 'draws', 'losses', 'scored', 'conceded', 'points'], 'data': [['1', 'olimpia', '9', '4', '4', '1', '14', '6', '16'], ['2', '12 de octubre', '9', '3', '6', '0', '14', '8', '15'], ['3', 'cerro porteño', '9', '3', '5', '1', '16', '10', '14'], ['4', 'guaraní', '9', '3', '5'... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'wins', 'draws', or 'losses', significantly contribute to the 'points' total for each team? If none have an effect, please reply 'no clear impact'. | wins |
f2f9df4e6d78b8ace8927690f4d05613 | tablebench-tqa | {'columns': ['rank', 'company', 'headquarters', 'industry', 'sales (billion )', 'profits (billion )', 'assets (billion )', 'market value (billion )'], 'data': [['1', 'jpmorgan chase', 'usa', 'banking', '115.5', '17.4', '2117.6', '182.2'], ['2', 'hsbc', 'uk', 'banking', '103.3', '13.3', '2467.9', '186.5'], ['3', 'genera... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | What is the impact of a company's sales on its market value among the companies listed in the same industry? | No clear impact |
ad74d81ab4aa956a6be905809321e014 | tablebench-tqa | {'columns': ['rank', 'railway station', 'annual entry / exit (millions) 2011 - 12', 'annual interchanges (millions) 2011 - 12', 'total passengers (millions) 2011 - 12', 'location', 'number of platforms'], 'data': [['1', 'london waterloo', '94.046', '9.489', '103.534', 'london', '19'], ['2', 'london victoria', '76.231',... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which is the main factor in the table, such as 'annual entry / exit (millions) 2011 - 12', 'annual interchanges (millions) 2011 - 12', 'location', and 'number of platforms', significantly contribute to the 'total passengers (millions) 2011 - 12' for each railway station? | annual entry / exit (millions) 2011 - 12 |
b6117222265436180797b4690779708c | tablebench-tqa | {'columns': ['name', 'innings', 'runs scored', 'balls faced', 'average', 'sr'], 'data': [['adam gilchrist (wk)', '8', '313', '318', '39.13', '98.43'], ['matthew hayden', '6', '161', '231', '26.83', '69.7'], ['ricky ponting (c)', '8', '189', '256', '23.63', '73.83'], ['michael clarke', '7', '293', '416', '48.83', '70.43... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which are top2 factors in the table, such as 'innings', 'runs scored', and 'balls faced', significantly influence the 'average' and 'sr' (strike rate) values for each player? | innings, runs scored |
3c41ec8ccc63a0ad8bac5638db8b4721 | tablebench-tqa | {'columns': ['member countries', 'population', 'area (km square)', 'gdp (billion us)', 'gdp per capita (us)'], 'data': [['denmark', '5021861', '43094', '70.032', '59928'], ['ireland', '3073200', '70273', '21.103', '39638'], ['united kingdom', '56210000', '244820', '675.941', '36728'], ['accession countries', '64305061'... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | What is the impact of an increase in GDP per capita on a country's population growth rate among the member countries listed? | Negtive impact |
8b7423e214d1e60f3bb63d2a0328faf6 | tablebench-tqa | {'columns': ['Fiscal Year', 'Total External Debt in Million of US Dollars ($)', 'Total Debt Service in Million of US Dollars ($)', 'External Debt to GDP Ratio (%)', 'Debt Service Ratio (%)'], 'data': [['1999', '51,157', '6,583', '61.6', '14.6'], ['2000', '51,358', '6,268', '63.4', '13.0'], ['2001', '52,047', '6,536', '... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | What was the impact of the significant increase in total external debt in 2010 on the debt service ratio in the subsequent years? | No clear impact |
17d8fd87a89dd0f3f9d6a827bc20df42 | tablebench-tqa | {'columns': ['autonomous community', 'hydroelectric power', 'wind power', 'solar power', 'biomass power', 'solid waste power', 'total renewable generation', 'total electricity demand', '% renewable of total electricity demand'], 'data': [['castile and leã cubicn', '6960', '3840', '14', '274', '87', '11175', '15793', '7... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | How does the wind power generation affect the percentage of renewable energy in the total electricity demand of an autonomous community? | Positive impact |
73cb636df01548c38396262253f15f4f | tablebench-tqa | {'columns': ['player', 'tackles', 'solo', 'assisted', 'sack', 'yards', "td 's"], 'data': [['rex motes', '26.0', '24', '4', '0', '0', '0'], ['nathan creer', '25.5', '24', '3', '0', '0', '0'], ['walter holman', '21.0', '17', '8', '2', '3', '0'], ['pete stubbs', '19.5', '18', '3', '3', '0', '0'], ['michael witteck', '16.0... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which is the main factor in the table, such as 'solo', 'assisted', 'sack', 'yards', and 'td 's', significantly contribute to the 'tackles' total for each player? | solo |
40ae3a1a5040527ccb57ea9a6b89ca2d | tablebench-tqa | {'columns': ['name', 'team', 'laps', 'grid', 'points'], 'data': [['lee holdsworth', 'garry rogers motorsport', '46', '4', '24'], ['garth tander', 'toll hsv dealer team', '46', '19', '20'], ['russell ingall', 'stone brothers racing', '46', '9', '17'], ['jamie whincup', 'teamvodafone', '46', '30', '15'], ['steven richard... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'ImpactAnalysis'} | Which factors in the table, such as 'team', 'laps', or 'grid', significantly influence the 'points' earned by each driver? If none have an effect, please reply 'no clear impact'. | No clear impact |
d4a5c36f72e87f2eeac0751416cafcb4 | tablebench-tqa | {'columns': ['sno', 'power plant', 'state', 'total capacity (mw)', 'completion schedule'], 'data': [['1', 'kishenganga', 'jammu & kashmir', '330', '2016'], ['2', 'parbati - ii', 'himachal pradesh', '800', '2013'], ['3', 'subansiri (lower)', 'assam', '2000', '2014'], ['4', 'teesta low dam - iv', 'west bengal', '160', '2... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'CausalAnalysis'} | Does a higher total capacity (mw) causally influence the completion schedule for the power plants listed in the table? | Yes, a higher total capacity (MW) indicates a weak positive influences (correlation coefficient of 0.48) the completion schedule for the power plants. |
00793dacf25441e231d6efb276f73d52 | tablebench-tqa | {'columns': ['selected caribbean and n latin america countries', 'internl tourist arrivals 2011 (x1000)', 'internl tourism receipts 2011 (million usd )', 'receipts per arrival 2010 (col 2) / (col 1) ( usd )', 'receipts per capita 2005 usd', 'revenues as % of exports goods and services 2011'], 'data': [['bahamas (1)', '... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'CausalAnalysis'} | How does the international tourism receipts change with increasing international tourist arrivals in the Caribbean and North Latin American countries? | International tourism receipts exhibit a strong positive correlation (0.95) with increasing international tourist arrivals in the Caribbean and North Latin American countries. |
c3afa144c86f78de05bbe97ba8ea4b88 | tablebench-tqa | {'columns': ['country / territory', 'area (km square)', 'population', 'pop density ( / km square)', 'gdp millions of usd (2009)', 'gdp per capita usd (2009 - 2011)', 'capital'], 'data': [['american samoa', '199', '55519', '326', '537', '7874', 'pago pago'], ['australia', '7617930', '23154782', '3', '1515468', '41500', ... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'CausalAnalysis'} | Is a country's GDP per capita more closely related to its population density or its total GDP? | GDP per capita is neither related to a country's total GDP (correlation coefficient of 0.20) or to its population density (correlation coefficient of -0.15). |
01ebe5f7371f583d215d73cd4266b44c | 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'... | null | {'qtype': 'DataAnalysis', 'qsubtype': 'CausalAnalysis'} | Does an increase in the number of major hurricanes cause an increase in the number of deaths? | No, causal analysis indicates a strong negative correlation (-0.84), suggesting an increase in major hurricanes does not causally lead to an increase in deaths. |
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