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fm - and tv - mast kosztowy | https://en.wikipedia.org/wiki/FM-_and_TV-mast_Kosztowy | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1249698-1.html.csv | ordinal | the program with the 3rd highest frequency has an erp kw value of 3 . | {'row': '8', 'col': '2', 'order': '3', 'col_other': '3', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'frequency mhz', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; frequency mhz ; 3 }'}, 'erp kw'], 'result': '3', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; frequency mhz ; 3 } ; erp kw }'}, '3'... | eq { hop { nth_argmax { all_rows ; frequency mhz ; 3 } ; erp kw } ; 3 } = true | select the row whose frequency mhz record of all rows is 3rd maximum . the erp kw record of this row is 3 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'frequency mhz_5': 5, '3_6': 6, 'erp kw_7': 7, '3_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'frequency mhz_5': 'frequency mhz', '3_6': '3', 'erp kw_7': 'erp kw', '3_8': '3'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'frequency mhz_5': [0], '3_6': [0], 'erp kw_7': [1], '3_8': [2]} | ['program', 'frequency mhz', 'erp kw', 'polarisation', 'antenna diagram around ( nd ) / directional ( d )'] | [['rmf fm', '93 , 00', '60', 'horizontal', 'nd'], ['94 , 5 roxy fm', '94 , 50', '0 , 50', 'horizontal', 'd'], ['eska rock', '95 , 50', '1', 'horizontal', 'd'], ['polskie radio program i', '97 , 90', '60', 'horizontal', 'nd'], ['radio rezonans', '99 , 10', '0 , 30', 'horizontal', 'd'], ['polskie radio program iii', '99 ... |
1959 team speedway polish championship | https://en.wikipedia.org/wiki/1959_Team_Speedway_Polish_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17543955-3.html.csv | unique | in the 1959 team speedway polish championship , for the teams that had under 20 points , the only one with 2 draws was wanda nowa huta . | {'scope': 'subset', 'row': '4', 'col': '4', 'col_other': '1', 'criterion': 'equal', 'value': '2', 'subset': {'col': '3', 'criterion': 'less_than', 'value': '20'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'points', '20'], 'result': None, 'ind': 0, 'tostr': 'filter_less { all_rows ; points ; 20 }', 'tointer': 'select the rows whose points record is less than 20 .'}, 'draw', '2'], 'result': None, ... | and { only { filter_eq { filter_less { all_rows ; points ; 20 } ; draw ; 2 } } ; eq { hop { filter_eq { filter_less { all_rows ; points ; 20 } ; draw ; 2 } ; team } ; wanda nowa huta } } = true | select the rows whose points record is less than 20 . among these rows , select the rows whose draw record is equal to 2 . there is only one such row in the table . the team record of this unqiue row is wanda nowa huta . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_eq_1': 1, 'filter_less_0': 0, 'all_rows_7': 7, 'points_8': 8, '20_9': 9, 'draw_10': 10, '2_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'team_12': 12, 'wanda nowa huta_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_eq_1': 'filter_eq', 'filter_less_0': 'filter_less', 'all_rows_7': 'all_rows', 'points_8': 'points', '20_9': '20', 'draw_10': 'draw', '2_11': '2', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'team_12': 'team', 'wanda nowa huta_13': 'wanda nowa huta'} | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_eq_1': [2, 3], 'filter_less_0': [1], 'all_rows_7': [0], 'points_8': [0], '20_9': [0], 'draw_10': [1], '2_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'team_12': [3], 'wanda nowa huta_13': [4]} | ['team', 'match', 'points', 'draw', 'lost'] | [['stal rzeszów', '14', '27', '1', '0'], ['unia tarnów', '14', '18', '0', '5'], ['stal gorzów wlkp', '14', '16', '0', '6'], ['wanda nowa huta', '14', '14', '2', '6'], ['tramwajarz łódź', '14', '14', '0', '7'], ['skra warszawa', '14', '12', '0', '8'], ['ostrovia ostrów wlkp', '14', '11', '1', '8'], ['stal świętochłowice... |
2008 dallas cowboys season | https://en.wikipedia.org/wiki/2008_Dallas_Cowboys_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-15582870-1.html.csv | superlative | in the 2008 dallas cowboys season , felix jones was the heaviest player picked in round 1 . | {'scope': 'subset', 'col_superlative': '6', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1,3', 'subset': {'col': '1', 'criterion': 'equal', 'value': '1'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'round', '1'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; round ; 1 }', 'tointer': 'select the rows whose round record is equal to 1 .'}, 'weight'], 'result': None, 'ind': 1, '... | eq { hop { argmax { filter_eq { all_rows ; round ; 1 } ; weight } ; player name } ; felix jones } = true | select the rows whose round record is equal to 1 . select the row whose weight record of these rows is maximum . the player name record of this row is felix jones . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'argmax_1': 1, 'filter_eq_0': 0, 'all_rows_5': 5, 'round_6': 6, '1_7': 7, 'weight_8': 8, 'player name_9': 9, 'felix jones_10': 10} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'argmax_1': 'argmax', 'filter_eq_0': 'filter_eq', 'all_rows_5': 'all_rows', 'round_6': 'round', '1_7': '1', 'weight_8': 'weight', 'player name_9': 'player name', 'felix jones_10': 'felix jones'} | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'argmax_1': [2], 'filter_eq_0': [1], 'all_rows_5': [0], 'round_6': [0], '1_7': [0], 'weight_8': [1], 'player name_9': [2], 'felix jones_10': [3]} | ['round', 'choice', 'player name', 'position', 'height', 'weight', 'college'] | [['1', '22', 'felix jones', 'running back', "6 ' 0", '207', 'arkansas'], ['1', '25', 'mike jenkins', 'cornerback', "6 ' 0", '197', 'south florida'], ['2', '61', 'martellus bennett', 'tight end', "6 ' 6", '259', 'texas a & m'], ['4', '122', 'tashard choice', 'running back', "6 ' 1", '205', 'georgia tech'], ['5', '143', ... |
1962 - 63 segunda división | https://en.wikipedia.org/wiki/1962%E2%80%9363_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17724929-2.html.csv | count | in 1962 - 63 segunda división , there were eight clubs with negative goal difference . | {'scope': 'all', 'criterion': 'less_than', 'value': '0', 'result': '8', 'col': '10', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'goal difference', '0'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose goal difference record is less than 0 .', 'tostr': 'filter_less { all_rows ; goal difference ; 0 }'}], 'result': '8', 'ind': 1, 'tostr': 'c... | eq { count { filter_less { all_rows ; goal difference ; 0 } } ; 8 } = true | select the rows whose goal difference record is less than 0 . the number of such rows is 8 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_less_0': 0, 'all_rows_4': 4, 'goal difference_5': 5, '0_6': 6, '8_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_less_0': 'filter_less', 'all_rows_4': 'all_rows', 'goal difference_5': 'goal difference', '0_6': '0', '8_7': '8'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_less_0': [1], 'all_rows_4': [0], 'goal difference_5': [0], '0_6': [0], '8_7': [2]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'pontevedra cf', '30', '41', '16', '9', '5', '44', '31', '+ 13'], ['2', 'rcd español', '30', '39', '17', '5', '8', '40', '24', '+ 16'], ['3', 'real santander', '30', '37', '15', '7', '8', '53', '39', '+ 14'], ['4', 'real sociedad', '30', '35', '14', '7', '9', '77', '44', '+ 33'], ['5', 'real gijón', '30', '34', ... |
imperial vicar | https://en.wikipedia.org/wiki/Imperial_vicar | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11071897-1.html.csv | ordinal | the interregnum that began with the 20 october 1740 death of charles vi was the second longest imperial vicar interregnum . | {'row': '8', 'col': '3', 'order': '2', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'duration', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; duration ; 2 }'}, 'interregnum began'], 'result': '20 october 1740 death of charles vi', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; du... | eq { hop { nth_argmax { all_rows ; duration ; 2 } ; interregnum began } ; 20 october 1740 death of charles vi } = true | select the row whose duration record of all rows is 2nd maximum . the interregnum began record of this row is 20 october 1740 death of charles vi . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'duration_5': 5, '2_6': 6, 'interregnum began_7': 7, '20 october 1740 death of charles vi_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'duration_5': 'duration', '2_6': '2', 'interregnum began_7': 'interregnum began', '20 october 1740 death of charles vi_8': '20 october 1740 death of charles vi'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'duration_5': [0], '2_6': [0], 'interregnum began_7': [1], '20 october 1740 death of charles vi_8': [2]} | ['interregnum began', 'interregnum ended', 'duration', 'count palatine of saxony', 'count palatine of the rhine'] | [['9 december 1437 death of sigismund', '18 march 1438 election of albert ii', '3 months , 9 days', 'frederick ii , elector of saxony', 'louis iv , elector palatine'], ['27 october 1439 death of albert ii', '2 february 1440 election of frederick iii', '3 months , 6 days', 'frederick ii , elector of saxony', 'louis iv ,... |
weightlifting at the 1999 pan american games | https://en.wikipedia.org/wiki/Weightlifting_at_the_1999_Pan_American_Games | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11279593-15.html.csv | aggregation | in weightlifting at the 1999 pan american games , female contenders averaged a bodyweight of 100.55 kg . | {'scope': 'all', 'col': '2', 'type': 'average', 'result': '100.55', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'bodyweight'], 'result': '100.55', 'ind': 0, 'tostr': 'avg { all_rows ; bodyweight }'}, '100.55'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; bodyweight } ; 100.55 } = true', 'tointer': 'the average of the bodyweight record of all r... | round_eq { avg { all_rows ; bodyweight } ; 100.55 } = true | the average of the bodyweight record of all rows is 100.55 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'bodyweight_4': 4, '100.55_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'bodyweight_4': 'bodyweight', '100.55_5': '100.55'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'bodyweight_4': [0], '100.55_5': [1]} | ['name', 'bodyweight', 'snatch', 'clean & jerk', 'total ( kg )'] | [['cheryl haworth ( usa )', '136.16', '117.5', '135.0', '252.5'], ['marã\xada isabel urrutia ( col )', '89.06', '107.5', '140.0', '247.5'], ['carmenza delgado ( col )', '88.61', '110.0', '135.0', '245.0'], ['nelly acosta ( pur )', '87.50', '95.0', '105.0', '200.0'], ['suzanne dandenault ( can )', '101.43', '85.0', '112... |
usa today all - usa high school baseball team | https://en.wikipedia.org/wiki/USA_Today_All-USA_high_school_baseball_team | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11677100-1.html.csv | count | two players that received the the usa today all award played as catchers . | {'scope': 'all', 'criterion': 'equal', 'value': 'catcher', 'result': '2', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', 'catcher'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to catcher .', 'tostr': 'filter_eq { all_rows ; position ; catcher }'}], 'result': '2', 'ind': 1, 'tostr':... | eq { count { filter_eq { all_rows ; position ; catcher } } ; 2 } = true | select the rows whose position record fuzzily matches to catcher . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'position_5': 5, 'catcher_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'position_5': 'position', 'catcher_6': 'catcher', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'position_5': [0], 'catcher_6': [0], '2_7': [2]} | ['year', 'player', 'position', 'high school', 'hometown', 'mlb draft'] | [['1989', 'tyler houston', 'catcher', 'valley high school', 'las vegas , nv', '1st round - 2nd pick of 1989 draft ( braves )'], ['1990', 'todd van poppel', 'pitcher', 'martin high school', 'arlington , tx', "1st round - 14th pick of 1990 draft ( a 's )"], ['1991', 'brien taylor', 'pitcher', 'east carteret high school',... |
westmorland county , new brunswick | https://en.wikipedia.org/wiki/Westmorland_County%2C_New_Brunswick | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-176529-1.html.csv | ordinal | dieppe has the second lowest census ranking of westmorland county , new brunswick . | {'row': '2', 'col': '5', 'order': '2', 'col_other': '1', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'census ranking', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; census ranking ; 2 }'}, 'official name'], 'result': 'dieppe', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; census ranking ; 2 } ; ... | eq { hop { nth_argmin { all_rows ; census ranking ; 2 } ; official name } ; dieppe } = true | select the row whose census ranking record of all rows is 2nd minimum . the official name record of this row is dieppe . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'census ranking_5': 5, '2_6': 6, 'official name_7': 7, 'dieppe_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'census ranking_5': 'census ranking', '2_6': '2', 'official name_7': 'official name', 'dieppe_8': 'dieppe'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'census ranking_5': [0], '2_6': [0], 'official name_7': [1], 'dieppe_8': [2]} | ['official name', 'status', 'area km 2', 'population', 'census ranking'] | [['moncton', 'city', '141.17', '69074', '79 of 5008'], ['dieppe', 'city', '51.17', '23310', '174 of 5008'], ['beaubassin east', 'rural community', '291.04', '6200', '600 of 5008'], ['shediac', 'town', '11.97', '6053', '610 of 5008'], ['sackville', 'town', '74.32', '5558', '655 of 5008'], ['memramcook', 'village', '185.... |
2009 - 10 washington capitals season | https://en.wikipedia.org/wiki/2009%E2%80%9310_Washington_Capitals_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23308178-4.html.csv | superlative | the washington capitals had the highest number of attendance in the first 12 games of the 2009 – 2010 versus the philadelphia flyers at 19,567 people . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '3', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': '3', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'attendance'], 'result': '19567', 'ind': 0, 'tostr': 'max { all_rows ; attendance }', 'tointer': 'the maximum attendance record of all rows is 19567 .'}, '19567'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows ; attendance }... | and { eq { max { all_rows ; attendance } ; 19567 } ; eq { hop { argmax { all_rows ; attendance } ; opponent } ; philadelphia flyers } } = true | the maximum attendance record of all rows is 19567 . the opponent record of the row with superlative attendance record is philadelphia flyers . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'max_0': 0, 'all_rows_7': 7, 'attendance_8': 8, '19567_9': 9, 'str_eq_4': 4, 'str_hop_3': 3, 'argmax_2': 2, 'all_rows_10': 10, 'attendance_11': 11, 'opponent_12': 12, 'philadelphia flyers_13': 13} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'max_0': 'max', 'all_rows_7': 'all_rows', 'attendance_8': 'attendance', '19567_9': '19567', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'argmax_2': 'argmax', 'all_rows_10': 'all_rows', 'attendance_11': 'attendance', 'opponent_12': 'opponent', 'philadelphia flyers_13'... | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'max_0': [1], 'all_rows_7': [0], 'attendance_8': [0], '19567_9': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'argmax_2': [3], 'all_rows_10': [2], 'attendance_11': [2], 'opponent_12': [3], 'philadelphia flyers_13': [4]} | ['game', 'date', 'opponent', 'score', 'location', 'attendance', 'record', 'points'] | [['1', 'october 1', 'boston bruins', '4 - 1', 'td garden', '17565', '1 - 0 - 0', '2'], ['2', 'october 3', 'toronto maple leafs', '6 - 4', 'verizon center', '18277', '2 - 0 - 0', '4'], ['3', 'october 6', 'philadelphia flyers', '6 - 5 ot', 'wachovia center', '19567', '2 - 0 - 1', '5'], ['4', 'october 8', 'new york ranger... |
1968 cleveland browns season | https://en.wikipedia.org/wiki/1968_Cleveland_Browns_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10652150-2.html.csv | superlative | the game played on week 5 of the 1968 cleveland browns season drew the highest attendance . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '5', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'attendance'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; attendance }'}, 'week'], 'result': '5', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; attendance } ; week }'}, '5'], 'result': True, 'ind': 2, 'tostr': 'eq ... | eq { hop { argmax { all_rows ; attendance } ; week } ; 5 } = true | select the row whose attendance record of all rows is maximum . the week record of this row is 5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'num_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'attendance_5': 5, 'week_6': 6, '5_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'num_hop_1': 'num_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'attendance_5': 'attendance', 'week_6': 'week', '5_7': '5'} | {'eq_2': [3], 'result_3': [], 'num_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'attendance_5': [0], 'week_6': [1], '5_7': [2]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'august 9 , 1968', 'los angeles rams', 'l 23 - 21', '64020'], ['2', 'august 18 , 1968', 'san francisco 49ers', 'w 31 - 17', '26801'], ['3', 'august 24 , 1968', 'new orleans saints', 'l 40 - 27', '70045'], ['4', 'august 30 , 1968', 'buffalo bills', 'w 22 - 12', '45448'], ['5', 'september 7 , 1968', 'green bay pac... |
1998 australian touring car championship | https://en.wikipedia.org/wiki/1998_Australian_Touring_Car_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15284222-2.html.csv | count | russell ingall won a total of three races in the 1998 australian touring car championship . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'russell ingall', 'result': '3', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'winner', 'russell ingall'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose winner record fuzzily matches to russell ingall .', 'tostr': 'filter_eq { all_rows ; winner ; russell ingall }'}], 'result': '3', 'in... | eq { count { filter_eq { all_rows ; winner ; russell ingall } } ; 3 } = true | select the rows whose winner record fuzzily matches to russell ingall . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'winner_5': 5, 'russell ingall_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'winner_5': 'winner', 'russell ingall_6': 'russell ingall', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'winner_5': [0], 'russell ingall_6': [0], '3_7': [2]} | ['race title', 'circuit', 'location / state', 'date', 'winner', 'team'] | [['sandown', 'sandown international motor raceway', 'melbourne , victoria', '30 jan - 1 feb', 'craig lowndes', 'holden racing team'], ['launceston', 'symmons plains international raceway', 'launceston , tasmania', '6 - 8 feb', 'craig lowndes', 'holden racing team'], ['lakeside', 'lakeside international raceway', 'brisb... |
tom kristensen | https://en.wikipedia.org/wiki/Tom_Kristensen | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1802063-1.html.csv | count | there were four years that tom kristensen did not finish in his races . | {'scope': 'all', 'criterion': 'equal', 'value': 'dnf', 'result': '4', 'col': '6', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'pos', 'dnf'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose pos record fuzzily matches to dnf .', 'tostr': 'filter_eq { all_rows ; pos ; dnf }'}], 'result': '4', 'ind': 1, 'tostr': 'count { filter_eq { all_r... | eq { count { filter_eq { all_rows ; pos ; dnf } } ; 4 } = true | select the rows whose pos record fuzzily matches to dnf . the number of such rows is 4 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'pos_5': 5, 'dnf_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'pos_5': 'pos', 'dnf_6': 'dnf', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'pos_5': [0], 'dnf_6': [0], '4_7': [2]} | ['year', 'team', 'co - drivers', 'class', 'laps', 'pos'] | [['1997', 'joest racing', 'michele alboreto stefan johansson', 'lmp', '361', '1st'], ['1998', 'team bmw motorsport', 'hans joachim stuck steve soper', 'lmp1', '60', 'dnf'], ['1999', 'team bmw motorsport', 'jj lehto jörg müller', 'lmp', '304', 'dnf'], ['2000', 'audi sport team joest', 'frank biela emanuele pirro', 'lmp9... |
miami valley conference | https://en.wikipedia.org/wiki/Miami_Valley_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-13456202-1.html.csv | superlative | the school with the earliest founding date is lockland high school . | {'scope': 'all', 'col_superlative': '3', 'row_superlative': '4', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'founded'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; founded }'}, 'school'], 'result': 'lockland high school', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; founded } ; school }'}, 'lockland high school'], 'r... | eq { hop { argmin { all_rows ; founded } ; school } ; lockland high school } = true | select the row whose founded record of all rows is minimum . the school record of this row is lockland high school . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'founded_5': 5, 'school_6': 6, 'lockland high school_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'founded_5': 'founded', 'school_6': 'school', 'lockland high school_7': 'lockland high school'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'founded_5': [0], 'school_6': [1], 'lockland high school_7': [2]} | ['school', 'location', 'founded', 'affiliation', 'mascot', 'division'] | [['cincinnati country day school', 'cincinnati , ohio', '1926', 'private', 'indians', 'gray'], ['cincinnati christian schools', 'fairfield , ohio', '1989', 'private christian', 'cougars', 'gray'], ['cincinnati hills christian academy', 'cincinnati , ohio', '1989', 'private christian', 'eagles', 'scarlet'], ['lockland h... |
the whole thing 's started | https://en.wikipedia.org/wiki/The_Whole_Thing%27s_Started | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17071146-1.html.csv | comparative | of the 7-inch single releases of the album the whole thing 's started , that 's how the whole thing started is longer than do what you do . | {'row_1': '3', 'row_2': '1', 'col': '3', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'tracks', "that 's how the whole thing started"], 'result': None, 'ind': 0, 'tointer': "select the rows whose tracks record fuzzily matches to that 's how the whole thing started .", 'tostr': "filter_eq { all_rows ;... | greater { hop { filter_eq { all_rows ; tracks ; that 's how the whole thing started } ; length } ; hop { filter_eq { all_rows ; tracks ; do what you do } ; length } } = true | select the rows whose tracks record fuzzily matches to that 's how the whole thing started . take the length record of this row . select the rows whose tracks record fuzzily matches to do what you do . take the length record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'tracks_7': 7, "that 's how the whole thing started_8": 8, 'length_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'tracks_11': 11, 'do what you do_12': 12, 'length_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'tracks_7': 'tracks', "that 's how the whole thing started_8": "that 's how the whole thing started", 'length_9': 'length', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'tracks_7': [0], "that 's how the whole thing started_8": [0], 'length_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'tracks_11': [1], 'do what you do_12': [1], 'length_13': [3]} | ['date', 'tracks', 'length', 'label', 'catalog'] | [['1977', 'do what you do', '3:47', 'cbs', 'ba 222304'], ['1977', "it 's automatic", '2:57', 'cbs', 'ba 222304'], ['1977', "that 's how the whole thing started", '4:03', 'cbs', 'ba 222325'], ['1977', "there 's nothing i can do", '3:38', 'cbs', 'ba 222325'], ['1978', 'do it again', '3:35', 'columbia', 'c4 - 8217'], ['19... |
barbara boxer | https://en.wikipedia.org/wiki/Barbara_Boxer | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-197446-1.html.csv | count | barbara boxer was elected five times to the house of representatives . | {'scope': 'all', 'criterion': 'equal', 'value': 'representative', 'result': '5', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'office', 'representative'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose office record fuzzily matches to representative .', 'tostr': 'filter_eq { all_rows ; office ; representative }'}], 'result': '5', 'in... | eq { count { filter_eq { all_rows ; office ; representative } } ; 5 } = true | select the rows whose office record fuzzily matches to representative . the number of such rows is 5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'office_5': 5, 'representative_6': 6, '5_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'office_5': 'office', 'representative_6': 'representative', '5_7': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'office_5': [0], 'representative_6': [0], '5_7': [2]} | ['office', 'branch', 'location', 'elected', 'term began', 'term ended'] | [['representative', 'legislative', 'washington , dc', '1982', 'january 3 , 1983', 'january 3 , 1985'], ['representative', 'legislative', 'washington , dc', '1984', 'january 3 , 1985', 'january 3 , 1987'], ['representative', 'legislative', 'washington , dc', '1986', 'january 3 , 1987', 'january 3 , 1989'], ['representat... |
cleethorpes coast light railway | https://en.wikipedia.org/wiki/Cleethorpes_Coast_Light_Railway | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1158066-2.html.csv | unique | the ted railway train was the only one to be colored brown . | {'scope': 'all', 'row': '1', 'col': '6', 'col_other': '1', 'criterion': 'equal', 'value': 'brown', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'colour', 'brown'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose colour record fuzzily matches to brown .', 'tostr': 'filter_eq { all_rows ; colour ; brown }'}], 'result': True, 'ind': 1, 'tostr': 'only { fi... | and { only { filter_eq { all_rows ; colour ; brown } } ; eq { hop { filter_eq { all_rows ; colour ; brown } ; name } ; ted } } = true | select the rows whose colour record fuzzily matches to brown . there is only one such row in the table . the name record of this unqiue row is ted . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'colour_7': 7, 'brown_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'ted_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'colour_7': 'colour', 'brown_8': 'brown', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'ted_10': 'ted'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'colour_7': [0], 'brown_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'ted_10': [3]} | ['name', 'built', 'wheels', 'fuel / trans', 'status', 'colour'] | [['ted', 'lister 1944', '0 - 4 - 0', 'diesel - mechanical', 'under rebuild', 'brown'], ['the cub / john', 'minirail 1954', '0 - 4 - 0 bo', 'diesel - hydraulic', 'stored', 'grey undercoat'], ['battison', 'battison 1958', '2 - 6 - 4de', 'diesel - electric', 'out of service', 'lner black'], ['dudley', 'g & s light enginee... |
indiana high school athletics conferences : ohio river valley - western indiana | https://en.wikipedia.org/wiki/Indiana_High_School_Athletics_Conferences%3A_Ohio_River_Valley_%E2%80%93_Western_Indiana | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18974097-5.html.csv | superlative | the highest enrolment in the indiana high school athletics conferences : ohio river valley - western indiana was 580 . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '2', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': 'n/a', 'subset': None} | {'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'enrollment'], 'result': '580', 'ind': 0, 'tostr': 'max { all_rows ; enrollment }', 'tointer': 'the maximum enrollment record of all rows is 580 .'}, '580'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows ; enrollment } ; 580 } = true', 'tointer': 't... | eq { max { all_rows ; enrollment } ; 580 } = true | the maximum enrollment record of all rows is 580 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'max_0': 0, 'all_rows_3': 3, 'enrollment_4': 4, '580_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'max_0': 'max', 'all_rows_3': 'all_rows', 'enrollment_4': 'enrollment', '580_5': '580'} | {'eq_1': [2], 'result_2': [], 'max_0': [1], 'all_rows_3': [0], 'enrollment_4': [0], '580_5': [1]} | ['school', 'location', 'mascot', 'enrollment', 'ihsaa class', 'county'] | [['boone grove', 'valparaiso', 'wolves', '543', 'aa', '64 porter'], ['hanover central', 'cedar lake', 'wildcats', '580', 'aaa', '45 lake'], ['hebron', 'hebron', 'hawks', '340', 'aa', '64 porter'], ['kouts', 'kouts', 'mustangs / fillies', '257', 'a', '64 porter'], ['lacrosse', 'lacrosse', 'tigers', '109', 'a', '46 lapor... |
list of hartford whalers draft picks | https://en.wikipedia.org/wiki/List_of_Hartford_Whalers_draft_picks | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18278177-5.html.csv | superlative | the closest team hartford whalers came to getting the first draft pick was the 11th pick . | {'scope': 'all', 'col_superlative': '1', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '5', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'pick'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; pick }'}, 'nhl team'], 'result': 'hartford whalers', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; pick } ; nhl team }'}, 'hartford whalers'], 'result': True,... | eq { hop { argmin { all_rows ; pick } ; nhl team } ; hartford whalers } = true | select the row whose pick record of all rows is minimum . the nhl team record of this row is hartford whalers . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'pick_5': 5, 'nhl team_6': 6, 'hartford whalers_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'pick_5': 'pick', 'nhl team_6': 'nhl team', 'hartford whalers_7': 'hartford whalers'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'pick_5': [0], 'nhl team_6': [1], 'hartford whalers_7': [2]} | ['pick', 'player', 'position', 'nationality', 'nhl team', 'college / junior / club team'] | [['11', 'chris govedaris', 'left wing', 'canada', 'hartford whalers', 'toronto marlboros ( ohl )'], ['32', 'barry richter', 'defence', 'united states', 'hartford whalers', 'culver military academy ( ushs - in )'], ['74', 'dean dyer', 'centre', 'canada', 'hartford whalers', 'lake superior state university ( ncaa )'], ['... |
world figure skating championships cumulative medal count | https://en.wikipedia.org/wiki/World_Figure_Skating_Championships_cumulative_medal_count | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15409776-4.html.csv | majority | most of the countries in the world figure skating championships have won less than 10 total medals . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '10', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'total', '10'], 'result': True, 'ind': 0, 'tointer': 'for the total records of all rows , most of them are less than 10 .', 'tostr': 'most_less { all_rows ; total ; 10 } = true'} | most_less { all_rows ; total ; 10 } = true | for the total records of all rows , most of them are less than 10 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'total_3': 3, '10_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'total_3': 'total', '10_4': '10'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'total_3': [0], '10_4': [0]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'great britain', '17', '10', '7', '34'], ['2', 'soviet union', '16', '14', '8', '38'], ['3', 'russia', '12', '5', '5', '22'], ['4', 'czechoslovakia', '4', '0', '0', '4'], ['5', 'canada', '3', '10', '11', '24'], ['6', 'france', '3', '6', '4', '13'], ['7', 'united states', '2', '9', '17', '28'], ['8', 'bulgaria', ... |
list of bangladesh test wicket - keepers | https://en.wikipedia.org/wiki/List_of_Bangladesh_Test_wicket-keepers | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12415346-1.html.csv | aggregation | total dismissals among bangladesh test wicket - keepers between 2000 and 2007 with fewer than 10 dismissals each was 8 . | {'scope': 'subset', 'col': '6', 'type': 'sum', 'result': '8', 'subset': {'col': '6', 'criterion': 'less_than', 'value': '10'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'total dismissals', '10'], 'result': None, 'ind': 0, 'tostr': 'filter_less { all_rows ; total dismissals ; 10 }', 'tointer': 'select the rows whose total dismissals record is less than 10 .'}, 'total dismissals'], 'resul... | round_eq { sum { filter_less { all_rows ; total dismissals ; 10 } ; total dismissals } ; 8 } = true | select the rows whose total dismissals record is less than 10 . the sum of the total dismissals record of these rows is 8 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_less_0': 0, 'all_rows_4': 4, 'total dismissals_5': 5, '10_6': 6, 'total dismissals_7': 7, '8_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_less_0': 'filter_less', 'all_rows_4': 'all_rows', 'total dismissals_5': 'total dismissals', '10_6': '10', 'total dismissals_7': 'total dismissals', '8_8': '8'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_less_0': [1], 'all_rows_4': [0], 'total dismissals_5': [0], '10_6': [0], 'total dismissals_7': [1], '8_8': [2]} | ['player', 'test career', 'tests', 'catches', 'stumpings', 'total dismissals'] | [['khaled mashud', '2000 - 2007', '44', '78', '9', '87'], ['shahriar hossain', '2000 - 2004', '3', '0', '1', '1'], ['mehrab hossain', '2000 - 2003', '9', '2', '0', '2'], ['mohammad salim', '2003 - 2003', '2', '3', '1', '4'], ['rajin saleh', '2003 - 2007', '22', '1', '0', '1'], ['mushfiqur rahim', '2005 - 2007', '4', '0... |
1938 cleveland rams season | https://en.wikipedia.org/wiki/1938_Cleveland_Rams_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11173623-1.html.csv | majority | most of the 1938 cleveland rams games had an attendance of 10,00 or more . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'greater_than_eq', 'value': '10,00', 'subset': None} | {'func': 'most_greater_eq', 'args': ['all_rows', 'attendance', '10,00'], 'result': True, 'ind': 0, 'tointer': 'for the attendance records of all rows , most of them are greater than or equal to 10,00 .', 'tostr': 'most_greater_eq { all_rows ; attendance ; 10,00 } = true'} | most_greater_eq { all_rows ; attendance ; 10,00 } = true | for the attendance records of all rows , most of them are greater than or equal to 10,00 . | 1 | 1 | {'most_greater_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'attendance_3': 3, '10,00_4': 4} | {'most_greater_eq_0': 'most_greater_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'attendance_3': 'attendance', '10,00_4': '10,00'} | {'most_greater_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'attendance_3': [0], '10,00_4': [0]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 11 , 1938', 'green bay packers', 'l 26 - 17', '8247'], ['2', 'september 17 , 1938', 'chicago cardinals', 'l 7 - 6', '7500'], ['3', 'september 25 , 1938', 'washington redskins', 'l 37 - 13', '25000'], ['4', 'october 2 , 1938', 'detroit lions', 'w 21 - 17', '8012'], ['5', 'october 9 , 1938', 'chicago be... |
list of heads of state of albania | https://en.wikipedia.org/wiki/List_of_heads_of_state_of_Albania | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-167225-1.html.csv | count | the non-party political party held the office of head of state of albania three times . | {'scope': 'all', 'criterion': 'equal', 'value': 'non - party', 'result': '3', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'political party', 'non - party'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose political party record fuzzily matches to non - party .', 'tostr': 'filter_eq { all_rows ; political party ; non - party }'}], ... | eq { count { filter_eq { all_rows ; political party ; non - party } } ; 3 } = true | select the rows whose political party record fuzzily matches to non - party . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'political party_5': 5, 'non - party_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'political party_5': 'political party', 'non - party_6': 'non - party', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'political party_5': [0], 'non - party_6': [0], '3_7': [2]} | ['name', 'born - died', 'term start', 'term end', 'political party'] | [['chairman of the national assembly 1912', 'chairman of the national assembly 1912', 'chairman of the national assembly 1912', 'chairman of the national assembly 1912', 'chairman of the national assembly 1912'], ['ismail qemali bej', '1844 - 1919', '28 november 1912', '29 november 1912', 'non - party'], ['chairman of ... |
list of european ultra prominent peaks | https://en.wikipedia.org/wiki/List_of_European_ultra_prominent_peaks | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18918776-1.html.csv | superlative | galdhøpiggen has the highest elevation of all european ultra prominent peaks . | {'scope': 'all', 'col_superlative': '3', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'elevation ( m )'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; elevation ( m ) }'}, 'peak'], 'result': 'galdhøpiggen', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; elevation ( m ) } ; peak }'}, 'galdhøpiggen']... | eq { hop { argmax { all_rows ; elevation ( m ) } ; peak } ; galdhøpiggen } = true | select the row whose elevation ( m ) record of all rows is maximum . the peak record of this row is galdhøpiggen . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'elevation (m)_5': 5, 'peak_6': 6, 'galdhøpiggen_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'elevation (m)_5': 'elevation ( m )', 'peak_6': 'peak', 'galdhøpiggen_7': 'galdhøpiggen'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'elevation (m)_5': [0], 'peak_6': [1], 'galdhøpiggen_7': [2]} | ['peak', 'country', 'elevation ( m )', 'prominence ( m )', 'col ( m )'] | [['galdhøpiggen', 'norway', '2469', '2372', '97'], ['kebnekaise', 'sweden', '2113', '1754', '359'], ['jiehkkevárri', 'norway', '1834', '1741', '93'], ['snøhetta', 'norway', '2286', '1675', '611'], ['store lenangstind', 'norway', '1624', '1576', '48'], ['sarektjåhkkå', 'sweden', '2089', '1519', '570']] |
1980 buffalo bills season | https://en.wikipedia.org/wiki/1980_Buffalo_Bills_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-16677887-2.html.csv | count | in the 1980 buffalo bills season , there were two occasions where the miami dolphins were the opponent . | {'scope': 'all', 'criterion': 'equal', 'value': 'miami dolphins', 'result': '2', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'miami dolphins'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent record fuzzily matches to miami dolphins .', 'tostr': 'filter_eq { all_rows ; opponent ; miami dolphins }'}], 'result': '2... | eq { count { filter_eq { all_rows ; opponent ; miami dolphins } } ; 2 } = true | select the rows whose opponent record fuzzily matches to miami dolphins . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'opponent_5': 5, 'miami dolphins_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'opponent_5': 'opponent', 'miami dolphins_6': 'miami dolphins', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'opponent_5': [0], 'miami dolphins_6': [0], '2_7': [2]} | ['game', 'date', 'opponent', 'result', 'bills points', 'opponents', 'bills first downs', 'record', 'attendance'] | [['1', 'sept 7', 'miami dolphins', 'win', '17', '7', '22', '1 - 0', '79598'], ['2', 'sept 14', 'new york jets', 'win', '20', '10', '22', '2 - 0', '65315'], ['3', 'sept 21', 'new orleans saints', 'win', '35', '26', '26', '3 - 0', '51154'], ['4', 'sept 28', 'oakland raiders', 'win', '24', '7', '25', '4 - 0', '77259'], ['... |
1998 pga championship | https://en.wikipedia.org/wiki/1998_PGA_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18048776-5.html.csv | count | in the 1998 pga championship , when the country is united states , 4 people had a score of 138 . | {'scope': 'subset', 'criterion': 'fuzzily_match', 'value': '138', 'result': '4', 'col': '4', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'united states'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'united states'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; country ; united states }', 'tointer': 'select the rows whose country record fuzzily matches to uni... | eq { count { filter_eq { filter_eq { all_rows ; country ; united states } ; score ; 138 } } ; 4 } = true | select the rows whose country record fuzzily matches to united states . among these rows , select the rows whose score record fuzzily matches to 138 . the number of such rows is 4 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'country_6': 6, 'united states_7': 7, 'score_8': 8, '138_9': 9, '4_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'country_6': 'country', 'united states_7': 'united states', 'score_8': 'score', '138_9': '138', '4_10': '4'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'country_6': [0], 'united states_7': [0], 'score_8': [1], '138_9': [1], '4_10': [3]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'vijay singh', 'fiji', '70 + 66 = 136', '4'], ['t2', 'scott gump', 'united states', '68 + 69 = 136', '3'], ['t2', 'colin montgomerie', 'scotland', '70 + 67 = 137', '3'], ['t2', 'steve stricker', 'united states', '69 + 68 = 137', '3'], ['t5', 'steve elkington', 'australia', '69 + 69 = 138', '2'], ['t5', 'brad fax... |
dragon zakura ( tv series ) | https://en.wikipedia.org/wiki/Dragon_Zakura_%28TV_series%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-25847911-1.html.csv | ordinal | hold out until you hit the wall was the third aired episode of dragon zakura among episodes 2 through 10 . | {'row': '3', 'col': '5', 'order': '3', 'col_other': '4', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'broadcast date', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; broadcast date ; 3 }'}, 'translation of title'], 'result': 'hold out until you hit the wall', 'ind': 1, 'tostr': 'hop { nth_argmin { al... | eq { hop { nth_argmin { all_rows ; broadcast date ; 3 } ; translation of title } ; hold out until you hit the wall } = true | select the row whose broadcast date record of all rows is 3rd minimum . the translation of title record of this row is hold out until you hit the wall . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'broadcast date_5': 5, '3_6': 6, 'translation of title_7': 7, 'hold out until you hit the wall_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'broadcast date_5': 'broadcast date', '3_6': '3', 'translation of title_7': 'translation of title', 'hold out until you hit the wall_8': 'hold out until you hit the wall'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'broadcast date_5': [0], '3_6': [0], 'translation of title_7': [1], 'hold out until you hit the wall_8': [2]} | ['', 'episode title', 'romanized title', 'translation of title', 'broadcast date', 'ratings'] | [['ep 2', '自分の弱さを知れ !', 'jibun no yowasa wo shire !', 'know your weaknesses !', 'july 15 , 2005', '16.5 %'], ['ep 3', '遊べ!受験はスポーツだ !', 'asobe ! juken wa supootsu da !', 'entrance exams are sports , so play !', 'july 22 , 2005', '13.8 %'], ['ep 4', '壁にぶつかるまで我慢しろ', 'kabe ni butsukaru made gaman shiro', 'hold out until yo... |
2008 - 09 portland trail blazers season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Portland_Trail_Blazers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17058178-11.html.csv | count | 3 portland trail blazers games were played at the rose garden . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'rose garden', 'result': '3', 'col': '8', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'location attendance', 'rose garden'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose location attendance record fuzzily matches to rose garden .', 'tostr': 'filter_eq { all_rows ; location attendance ; rose g... | eq { count { filter_eq { all_rows ; location attendance ; rose garden } } ; 3 } = true | select the rows whose location attendance record fuzzily matches to rose garden . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'location attendance_5': 5, 'rose garden_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'location attendance_5': 'location attendance', 'rose garden_6': 'rose garden', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'location attendance_5': [0], 'rose garden_6': [0], '3_7': [2]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['75', 'april 3', 'oklahoma city', 'w 107 - 72 ( ot )', 'lamarcus aldridge ( 35 )', 'lamarcus aldridge ( 18 )', 'steve blake ( 10 )', 'ford center 19136', '48 - 27'], ['76', 'april 5', 'houston', 'l 88 - 102 ( ot )', 'lamarcus aldridge , brandon roy ( 22 )', 'lamarcus aldridge ( 9 )', 'brandon roy ( 6 )', 'toyota cent... |
john aldridge | https://en.wikipedia.org/wiki/John_Aldridge | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1208731-3.html.csv | majority | the majority of john aldridge 's international goals were in the lansdowne road , dublin , ireland venue . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'lansdowne road , dublin , ireland', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'venue', 'lansdowne road , dublin , ireland'], 'result': True, 'ind': 0, 'tointer': 'for the venue records of all rows , most of them fuzzily match to lansdowne road , dublin , ireland .', 'tostr': 'most_eq { all_rows ; venue ; lansdowne road , dublin , ireland } = true'} | most_eq { all_rows ; venue ; lansdowne road , dublin , ireland } = true | for the venue records of all rows , most of them fuzzily match to lansdowne road , dublin , ireland . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'venue_3': 3, 'lansdowne road , dublin , ireland_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'venue_3': 'venue', 'lansdowne road , dublin , ireland_4': 'lansdowne road , dublin , ireland'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'venue_3': [0], 'lansdowne road , dublin , ireland_4': [0]} | ['goal', 'date', 'venue', 'score', 'result', 'competition'] | [['1', '19 october 1988', 'lansdowne road , dublin , ireland', '3 - 0', '4 - 0', 'friendly'], ['2', '15 november 1989', "ta ' qali national stadium , attard , malta", '1 - 0', '2 - 0', '1990 world cup qual'], ['3', '15 november 1989', "ta ' qali national stadium , attard , malta", '2 - 0', '2 - 0', '1990 world cup qual... |
easyjet | https://en.wikipedia.org/wiki/EasyJet | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-180466-4.html.csv | count | three of easyjet 's aircrafts were manufactured by the boeing aviation company . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'boeing', 'result': '3', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'aircraft', 'boeing'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose aircraft record fuzzily matches to boeing .', 'tostr': 'filter_eq { all_rows ; aircraft ; boeing }'}], 'result': '3', 'ind': 1, 'tostr': 'c... | eq { count { filter_eq { all_rows ; aircraft ; boeing } } ; 3 } = true | select the rows whose aircraft record fuzzily matches to boeing . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'aircraft_5': 5, 'boeing_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'aircraft_5': 'aircraft', 'boeing_6': 'boeing', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'aircraft_5': [0], 'boeing_6': [0], '3_7': [2]} | ['aircraft', 'introduced', 'retired', 'seating', 'notes'] | [['airbus a319 - 100', '2004', '-', '156', 'in service'], ['airbus a320 - 200', '2008', '-', '180', 'in service'], ['airbus a321 - 200', '2008', '2010', '220', 'inherited from gb airways'], ['boeing 737 - 204', '1995', '1996', '115', 'replaced by 737 - 300s'], ['boeing 737 - 300', '1996', '2007', '148 / 9', 'replaced b... |
bms scuderia italia | https://en.wikipedia.org/wiki/BMS_Scuderia_Italia | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1226647-2.html.csv | aggregation | the average points scored across all years was around 2.5 . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '2.5', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'points'], 'result': '2.5', 'ind': 0, 'tostr': 'avg { all_rows ; points }'}, '2.5'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; points } ; 2.5 } = true', 'tointer': 'the average of the points record of all rows is 2.5 .'} | round_eq { avg { all_rows ; points } ; 2.5 } = true | the average of the points record of all rows is 2.5 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'points_4': 4, '2.5_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'points_4': 'points', '2.5_5': '2.5'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'points_4': [0], '2.5_5': [1]} | ['year', 'chassis', 'engine ( s )', 'tyres', 'points'] | [['1988', 'dallara 3087 dallara 188', 'ford dfz 3.5 v8', 'g', '0'], ['1989', 'dallara 189', 'ford dfr 3.5 v8', 'p', '8'], ['1990', 'dallara 190', 'ford dfr 3.5 v8', 'p', '0'], ['1991', 'dallara 191', 'judd gv 3.5 v10', 'p', '5'], ['1992', 'dallara 192', 'ferrari 037 3.5 v12', 'g', '2'], ['1993', 'lola t93 / 30', 'ferra... |
orlando magic all - time roster | https://en.wikipedia.org/wiki/Orlando_Magic_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-15621965-14.html.csv | ordinal | jawann oldham is the earliest player who joined orlando magic among those listed in their all - time roster . | {'row': '2', 'col': '5', 'order': '1', 'col_other': '1', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'years in orlando', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; years in orlando ; 1 }'}, 'player'], 'result': 'jawann oldham', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; years in orlando ; ... | eq { hop { nth_argmin { all_rows ; years in orlando ; 1 } ; player } ; jawann oldham } = true | select the row whose years in orlando record of all rows is 1st minimum . the player record of this row is jawann oldham . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'years in orlando_5': 5, '1_6': 6, 'player_7': 7, 'jawann oldham_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'years in orlando_5': 'years in orlando', '1_6': '1', 'player_7': 'player', 'jawann oldham_8': 'jawann oldham'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'years in orlando_5': [0], '1_6': [0], 'player_7': [1], 'jawann oldham_8': [2]} | ['player', 'no', 'nationality', 'position', 'years in orlando', 'school / club team'] | [['victor oladipo', '5', 'united states', 'guard', '2013 - present', 'indiana'], ['jawann oldham', '55', 'united states', 'center', '1989 - 1990', 'seattle'], ['kevin ollie', '3', 'united states', 'guard', '1998', 'connecticut'], ["shaquille o'neal", '32', 'united states', 'center', '1992 - 1996', 'louisiana state'], [... |
mark mccumber | https://en.wikipedia.org/wiki/Mark_McCumber | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1598242-1.html.csv | aggregation | for years when he was not in the playoffs , the average margin of victory was 2 strokes . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '2', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'margin of victory'], 'result': '2', 'ind': 0, 'tostr': 'avg { all_rows ; margin of victory }'}, '2'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; margin of victory } ; 2 } = true', 'tointer': 'the average of the margin of victory re... | round_eq { avg { all_rows ; margin of victory } ; 2 } = true | the average of the margin of victory record of all rows is 2 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'margin of victory_4': 4, '2_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'margin of victory_4': 'margin of victory', '2_5': '2'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'margin of victory_4': [0], '2_5': [1]} | ['date', 'tournament', 'winning score', 'margin of victory', 'runner - up'] | [['mar 18 , 1979', 'doral - eastern open', '- 9 ( 67 + 71 + 69 + 72 = 279 )', '1 stroke', 'bill rogers'], ['jul 3 , 1983', 'western open', '- 4 ( 74 + 71 + 68 + 71 = 284 )', '1 stroke', 'tom watson'], ['oct 30 , 1983', 'pensacola open', '- 18 ( 68 + 68 + 65 + 65 = 266 )', '4 strokes', 'lon hinkle'], ['feb 24 , 1985', '... |
ramires | https://en.wikipedia.org/wiki/Ramires | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13211909-2.html.csv | ordinal | the second highest number of apps for ramires was in the season 2009-10 . | {'row': '2', 'col': '4', 'order': '2', 'col_other': '3', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'apps', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; apps ; 2 }'}, 'season'], 'result': '2009 - 10', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; apps ; 2 } ; season }'}, '2009 - 10'], 'result'... | eq { hop { nth_argmax { all_rows ; apps ; 2 } ; season } ; 2009 - 10 } = true | select the row whose apps record of all rows is 2nd maximum . the season record of this row is 2009 - 10 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'apps_5': 5, '2_6': 6, 'season_7': 7, '2009 - 10_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'apps_5': 'apps', '2_6': '2', 'season_7': 'season', '2009 - 10_8': '2009 - 10'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'apps_5': [0], '2_6': [0], 'season_7': [1], '2009 - 10_8': [2]} | ['national team', 'club', 'season', 'apps', 'goals'] | [['brazil', 'cruzeiro', '2009', '7', '0'], ['brazil', 'benfica', '2009 - 10', '9', '2'], ['brazil', 'chelsea', '2010 - 11', '10', '0'], ['brazil', 'chelsea', '2011 - 12', '1', '0'], ['brazil', 'chelsea', '2012 - 13', '6', '1'], ['total', 'total', 'total', '33', '3']] |
piero taruffi | https://en.wikipedia.org/wiki/Piero_Taruffi | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1235869-1.html.csv | aggregation | piero taruffi earned 31 of his 50 career points with the ferrari straight - 4 engine . | {'scope': 'subset', 'col': '5', 'type': 'sum', 'result': '31', 'subset': {'col': '4', 'criterion': 'equal', 'value': 'ferrari straight-4'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'engine', 'ferrari straight-4'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; engine ; ferrari straight-4 }', 'tointer': 'select the rows whose engine record fuzzily matches to ferrari straight-4 .'}, 'po... | round_eq { sum { filter_eq { all_rows ; engine ; ferrari straight-4 } ; points } ; 31 } = true | select the rows whose engine record fuzzily matches to ferrari straight-4 . the sum of the points record of these rows is 31 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'engine_5': 5, 'ferrari straight-4_6': 6, 'points_7': 7, '31_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'engine_5': 'engine', 'ferrari straight-4_6': 'ferrari straight-4', 'points_7': 'points', '31_8': '31'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'engine_5': [0], 'ferrari straight-4_6': [0], 'points_7': [1], '31_8': [2]} | ['year', 'entrant', 'chassis', 'engine', 'points'] | [['1950', 'sa alfa romeo', 'alfa romeo 158', 'alfa romeo straight - 8', '0'], ['1951', 'scuderia ferrari', 'ferrari 375 f1', 'ferrari v12', '10'], ['1952', 'scuderia ferrari', 'ferrari 500', 'ferrari straight - 4', '22'], ['1954', 'scuderia ferrari', 'ferrari 625', 'ferrari straight - 4', '0'], ['1955', 'scuderia ferra... |
gb railfreight | https://en.wikipedia.org/wiki/GB_Railfreight | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12085438-1.html.csv | count | for gb railfreight , for ones that were introduced before 2000 , there were 2 times that the fleet size was 2 . | {'scope': 'subset', 'criterion': 'equal', 'value': '2', 'result': '2', 'col': '4', 'subset': {'col': '3', 'criterion': 'less_than', 'value': '2000'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'introduced', '2000'], 'result': None, 'ind': 0, 'tostr': 'filter_less { all_rows ; introduced ; 2000 }', 'tointer': 'select the rows whose introduced record is less than 2000 .'}, 'fleet size'... | eq { count { filter_eq { filter_less { all_rows ; introduced ; 2000 } ; fleet size ; 2 } } ; 2 } = true | select the rows whose introduced record is less than 2000 . among these rows , select the rows whose fleet size record is equal to 2 . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_eq_1': 1, 'filter_less_0': 0, 'all_rows_5': 5, 'introduced_6': 6, '2000_7': 7, 'fleet size_8': 8, '2_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_eq_1': 'filter_eq', 'filter_less_0': 'filter_less', 'all_rows_5': 'all_rows', 'introduced_6': 'introduced', '2000_7': '2000', 'fleet size_8': 'fleet size', '2_9': '2', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_eq_1': [2], 'filter_less_0': [1], 'all_rows_5': [0], 'introduced_6': [0], '2000_7': [0], 'fleet size_8': [1], '2_9': [1], '2_10': [3]} | ['class', 'type', 'introduced', 'fleet size', 'numbers'] | [['class 08', 'shunter', '1953', '2', '08925 , 08934'], ['class 09', 'shunter', '1959', '2', '09002 , 09009'], ['class 20', 'diesel locomotive', '1957 - 1968', '9', '20096 , 107 , 142 , 189 , 227 311 , 314 , 901 , 905'], ['class 66', 'diesel locomotive', '2002', '48', '66701 - 733 , 735 - 751'], ['class 73', 'electro -... |
2008 baltimore ravens season | https://en.wikipedia.org/wiki/2008_Baltimore_Ravens_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15013564-4.html.csv | unique | the game in week four was the only time the game was at heinz field . | {'scope': 'all', 'row': '4', 'col': '6', 'col_other': '1', 'criterion': 'equal', 'value': 'heinz field', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'stadium', 'heinz field'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose stadium record fuzzily matches to heinz field .', 'tostr': 'filter_eq { all_rows ; stadium ; heinz field }'}], 'result': True, 'ind': 1... | and { only { filter_eq { all_rows ; stadium ; heinz field } } ; eq { hop { filter_eq { all_rows ; stadium ; heinz field } ; week } ; 4 } } = true | select the rows whose stadium record fuzzily matches to heinz field . there is only one such row in the table . the week record of this unqiue row is 4 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'stadium_7': 7, 'heinz field_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'week_9': 9, '4_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'stadium_7': 'stadium', 'heinz field_8': 'heinz field', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'week_9': 'week', '4_10': '4'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'stadium_7': [0], 'heinz field_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'week_9': [2], '4_10': [3]} | ['week', 'opponent', 'date', 'tv network', 'time ( et )', 'stadium', 'location', 'results', 'record'] | [['1', 'cincinnati bengals', 'sunday , september 7 , 2008', 'cbs', '1:00 pm', 'm & t bank stadium', 'baltimore , maryland', 'w 17 - 10', '1 - 0'], ['2', 'bye week', 'bye week', 'bye week', 'bye week', 'bye week', 'bye week', 'bye week', 'bye week'], ['3', 'cleveland browns', 'sunday , september 21 , 2008', 'cbs', '4:15... |
peak uranium | https://en.wikipedia.org/wiki/Peak_uranium | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15624586-2.html.csv | count | four of the countries that have a demand for uranium had 0 indigenous mining production in 2006 . | {'scope': 'all', 'criterion': 'equal', 'value': '0', 'result': '4', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'indigenous mining production 2006', '0'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose indigenous mining production 2006 record is equal to 0 .', 'tostr': 'filter_eq { all_rows ; indigenous mining production 20... | eq { count { filter_eq { all_rows ; indigenous mining production 2006 ; 0 } } ; 4 } = true | select the rows whose indigenous mining production 2006 record is equal to 0 . the number of such rows is 4 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'indigenous mining production 2006_5': 5, '0_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'indigenous mining production 2006_5': 'indigenous mining production 2006', '0_6': '0', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'indigenous mining production 2006_5': [0], '0_6': [0], '4_7': [2]} | ['country', 'uranium required 2006 - 08', '% of world demand', 'indigenous mining production 2006', 'deficit ( - surplus )'] | [['usa', 'tonnes ( 10 6lb )', '29.3 %', 'tonnes ( 10 6lb )', 'tonnes ( 10 6lb )'], ['france', 'tonnes ( 10 6lb )', '16.3 %', '0', 'tonnes ( 10 6lb )'], ['japan', 'tonnes ( 10 6lb )', '11.8 %', '0', 'tonnes ( 10 6lb )'], ['russia', 'tonnes ( 10 6lb )', '5.2 %', 'tonnes ( 10 6lb )', 'tonnes ( 10 6lb )'], ['germany', 'ton... |
south asian canadian | https://en.wikipedia.org/wiki/South_Asian_Canadian | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1717824-1.html.csv | aggregation | in 2001 , the average number of south asians in all canadian provinces was 70544.6 . | {'scope': 'all', 'col': '2', 'type': 'average', 'result': '70544.6', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'south asians 2001'], 'result': '70544.6', 'ind': 0, 'tostr': 'avg { all_rows ; south asians 2001 }'}, '70544.6'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; south asians 2001 } ; 70544.6 } = true', 'tointer': 'the average of the so... | round_eq { avg { all_rows ; south asians 2001 } ; 70544.6 } = true | the average of the south asians 2001 record of all rows is 70544.6 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'south asians 2001_4': 4, '70544.6_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'south asians 2001_4': 'south asians 2001', '70544.6_5': '70544.6'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'south asians 2001_4': [0], '70544.6_5': [1]} | ['province', 'south asians 2001', '% 2001', 'south asians 2011', '% 2011'] | [['ontario', '554870', '4.9 %', '1003180', '7.9 %'], ['british columbia', '210295', '5.4 %', '311265', '7.2 %'], ['alberta', '69580', '2.4 %', '159055', '4.4 %'], ['quebec', '59510', '0.8 %', '91400', '1.2 %'], ['manitoba', '12875', '1.2 %', '26220', '2.2 %'], ['saskatchewan', '4090', '0.4 %', '12620', '1.3 %'], ['nova... |
1947 in brazilian football | https://en.wikipedia.org/wiki/1947_in_Brazilian_football | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-15318779-1.html.csv | unique | santos was the only brazilian football team in 1947 to have a difference of exactly 6 . | {'scope': 'all', 'row': '6', 'col': '10', 'col_other': '2', 'criterion': 'equal', 'value': '6', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'difference', '6'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose difference record is equal to 6 .', 'tostr': 'filter_eq { all_rows ; difference ; 6 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { a... | and { only { filter_eq { all_rows ; difference ; 6 } } ; eq { hop { filter_eq { all_rows ; difference ; 6 } ; team } ; santos } } = true | select the rows whose difference record is equal to 6 . there is only one such row in the table . the team record of this unqiue row is santos . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'difference_7': 7, '6_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'team_9': 9, 'santos_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'difference_7': 'difference', '6_8': '6', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'team_9': 'team', 'santos_10': 'santos'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'difference_7': [0], '6_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'team_9': [2], 'santos_10': [3]} | ['position', 'team', 'points', 'played', 'won', 'drawn', 'lost', 'for', 'against', 'difference'] | [['1', 'palmeiras', '36', '20', '17', '2', '1', '51', '16', '35'], ['2', 'corinthians', '32', '20', '14', '4', '2', '54', '19', '35'], ['3', 'portuguesa', '27', '20', '11', '5', '4', '43', '28', '15'], ['4', 'são paulo', '25', '20', '8', '9', '3', '48', '27', '21'], ['5', 'ypiranga - sp', '21', '20', '9', '3', '8', '36... |
iowa corn cy - hawk series | https://en.wikipedia.org/wiki/Iowa_Corn_Cy-Hawk_Series | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14175075-8.html.csv | majority | iowa was the winning team in the majority of sports played in the iowa corn cy - hawk series . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'iowa', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'series', 'iowa'], 'result': True, 'ind': 0, 'tointer': 'for the series records of all rows , most of them fuzzily match to iowa .', 'tostr': 'most_eq { all_rows ; series ; iowa } = true'} | most_eq { all_rows ; series ; iowa } = true | for the series records of all rows , most of them fuzzily match to iowa . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'series_3': 3, 'iowa_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'series_3': 'series', 'iowa_4': 'iowa'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'series_3': [0], 'iowa_4': [0]} | ['date', 'site', 'sport', 'winning team', 'series'] | [['september 10 , 2010', 'iowa city', 'volleyball', 'iowa state', 'iowa state 2 - 0'], ['september 11 , 2010', 'iowa city', 'football', 'iowa', 'iowa 3 - 2'], ['september 17 , 2010', 'ames', 'w soccer', 'iowa', 'iowa 5 - 2'], ['november 13 , 2010', 'springfield', 'm cross country', 'iowa state', 'iowa 5 - 4'], ['novemb... |
1976 - 77 segunda división | https://en.wikipedia.org/wiki/1976%E2%80%9377_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12239755-2.html.csv | superlative | the best team in the 1976 - 77 segunda división was sporting de gijon . | {'scope': 'all', 'col_superlative': '1', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '2', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'position'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; position }'}, 'club'], 'result': 'sporting de gijón', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; position } ; club }'}, 'sporting de gijón'], 'result':... | eq { hop { argmin { all_rows ; position } ; club } ; sporting de gijón } = true | select the row whose position record of all rows is minimum . the club record of this row is sporting de gijón . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'position_5': 5, 'club_6': 6, 'sporting de gijón_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'position_5': 'position', 'club_6': 'club', 'sporting de gijón_7': 'sporting de gijón'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'position_5': [0], 'club_6': [1], 'sporting de gijón_7': [2]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'sporting de gijón', '38', '47 + 9', '18', '11', '9', '62', '35', '+ 27'], ['2', 'cádiz cf', '38', '46 + 8', '17', '12', '9', '60', '42', '+ 18'], ['3', 'rayo vallecano', '38', '45 + 7', '17', '11', '10', '46', '34', '+ 12'], ['4', 'real jaén', '38', '43 + 5', '15', '13', '10', '42', '32', '+ 10'], ['5', 'real o... |
list of ultras of oceania | https://en.wikipedia.org/wiki/List_of_Ultras_of_Oceania | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18946749-3.html.csv | count | two of the ultras of oceania are on the island of hawaii . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'hawaii', 'result': '2', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'island', 'hawaii'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose island record fuzzily matches to hawaii .', 'tostr': 'filter_eq { all_rows ; island ; hawaii }'}], 'result': '2', 'ind': 1, 'tostr': 'count {... | eq { count { filter_eq { all_rows ; island ; hawaii } } ; 2 } = true | select the rows whose island record fuzzily matches to hawaii . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'island_5': 5, 'hawaii_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'island_5': 'island', 'hawaii_6': 'hawaii', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'island_5': [0], 'hawaii_6': [0], '2_7': [2]} | ['rank', 'summit', 'country', 'island', 'col ( m )'] | [['1', 'mauna kea', 'united states', 'island of hawaii', '0'], ['2', 'haleakalā', 'united states', 'island of maui', '0'], ['3', 'mauna loa', 'united states', 'island of hawaii', '2005'], ['4', 'puu kukui', 'united states', 'island of maui', '33'], ['5', 'kawaikini', 'united states', 'island of kauai', '0'], ['6', 'kam... |
keisuke honda | https://en.wikipedia.org/wiki/Keisuke_Honda | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14670286-3.html.csv | aggregation | keisuke honda had an average score during competition of 1.8 . | {'scope': 'all', 'col': '3', 'type': 'average', 'result': '1.8', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'score'], 'result': '1.8', 'ind': 0, 'tostr': 'avg { all_rows ; score }'}, '1.8'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; score } ; 1.8 } = true', 'tointer': 'the average of the score record of all rows is 1.8 .'} | round_eq { avg { all_rows ; score } ; 1.8 } = true | the average of the score record of all rows is 1.8 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'score_4': 4, '1.8_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'score_4': 'score', '1.8_5': '1.8'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'score_4': [0], '1.8_5': [1]} | ['date', 'venue', 'score', 'result', 'competition'] | [['7 august 2006', 'qinhuangdao olympic stadium , qinhuangdao', '1 - 0', '2 - 0', 'friendly match'], ['29 november 2006', 'qatar sc stadium , doha', '1 - 0', '3 - 2', '2006 asian games'], ['18 april 2007', 'abbasiyyin stadium , damascus', '1 - 0', '2 - 0', '2008 summer olympics qualification'], ['16 may 2007', 'hong ko... |
1986 formula one season | https://en.wikipedia.org/wiki/1986_Formula_One_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1140067-2.html.csv | ordinal | the san marino grand prix was the third earliest race in the 1986 formula one season . | {'row': '3', 'col': '2', 'order': '3', 'col_other': '1', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'date', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; date ; 3 }'}, 'race'], 'result': 'san marino grand prix', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; date ; 3 } ; race }'}, 'san marino gr... | eq { hop { nth_argmin { all_rows ; date ; 3 } ; race } ; san marino grand prix } = true | select the row whose date record of all rows is 3rd minimum . the race record of this row is san marino grand prix . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'date_5': 5, '3_6': 6, 'race_7': 7, 'san marino grand prix_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'date_5': 'date', '3_6': '3', 'race_7': 'race', 'san marino grand prix_8': 'san marino grand prix'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'date_5': [0], '3_6': [0], 'race_7': [1], 'san marino grand prix_8': [2]} | ['race', 'date', 'location', 'pole position', 'fastest lap', 'race winner', 'constructor', 'report'] | [['brazilian grand prix', '23 march', 'jacarepaguá', 'ayrton senna', 'nelson piquet', 'nelson piquet', 'williams - honda', 'report'], ['spanish grand prix', '13 april', 'jerez', 'ayrton senna', 'nigel mansell', 'ayrton senna', 'lotus - renault', 'report'], ['san marino grand prix', '27 april', 'imola', 'ayrton senna', ... |
indiana high school athletics conferences : ohio river valley - western indiana | https://en.wikipedia.org/wiki/Indiana_High_School_Athletics_Conferences%3A_Ohio_River_Valley_%E2%80%93_Western_Indiana | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18974097-16.html.csv | aggregation | the average student enrollment of ohio river valley - western indiana high schools is 772 . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '772', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'enrollment'], 'result': '772', 'ind': 0, 'tostr': 'avg { all_rows ; enrollment }'}, '772'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; enrollment } ; 772 } = true', 'tointer': 'the average of the enrollment record of all rows is 77... | round_eq { avg { all_rows ; enrollment } ; 772 } = true | the average of the enrollment record of all rows is 772 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'enrollment_4': 4, '772_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'enrollment_4': 'enrollment', '772_5': '772'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'enrollment_4': [0], '772_5': [1]} | ['school', 'location', 'mascot', 'enrollment', 'ihsaa class', 'ihsaa football class', 'county'] | [['brown county', 'nashville', 'eagles', '755', 'aaa', 'aaa', '7 brown'], ['edgewood', 'ellettsville', 'mustangs', '833', 'aaa', 'aaa', '53 monroe'], ['northview', 'brazil', 'knights', '1142', 'aaaa', 'aaaa', '11 clay'], ['owen valley', 'spencer', 'patriots', '908', 'aaa', 'aaaa', '60 owen'], ['south vermillion', 'clin... |
1958 - 59 segunda división | https://en.wikipedia.org/wiki/1958%E2%80%9359_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17695272-2.html.csv | count | 4 clubs had 7 draws in the 1958 - 59 segunda división . | {'scope': 'all', 'criterion': 'equal', 'value': '7', 'result': '4', 'col': '6', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'draws', '7'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose draws record is equal to 7 .', 'tostr': 'filter_eq { all_rows ; draws ; 7 }'}], 'result': '4', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; draws... | eq { count { filter_eq { all_rows ; draws ; 7 } } ; 4 } = true | select the rows whose draws record is equal to 7 . the number of such rows is 4 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'draws_5': 5, '7_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'draws_5': 'draws', '7_6': '7', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'draws_5': [0], '7_6': [0], '4_7': [2]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'real valladolid', '30', '40', '19', '2', '9', '70', '38', '+ 32'], ['2', 'cd sabadell cf', '30', '39', '16', '7', '7', '55', '35', '+ 20'], ['3', 'sd indautxu', '30', '35', '14', '7', '9', '46', '35', '+ 11'], ['4', 'cd condal', '30', '32', '14', '4', '12', '51', '41', '+ 10'], ['5', 'cd basconia', '30', '32', ... |
daren kagasoff | https://en.wikipedia.org/wiki/Daren_Kagasoff | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18381900-1.html.csv | majority | all of daren kagasoff 's awards were for the secret life of the american teenager . | {'scope': 'all', 'col': '3', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'the secret life of the american teenager', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'work', 'the secret life of the american teenager'], 'result': True, 'ind': 0, 'tointer': 'for the work records of all rows , all of them fuzzily match to the secret life of the american teenager .', 'tostr': 'all_eq { all_rows ; work ; the secret life of the american teenage... | all_eq { all_rows ; work ; the secret life of the american teenager } = true | for the work records of all rows , all of them fuzzily match to the secret life of the american teenager . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'work_3': 3, 'the secret life of the american teenager_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'work_3': 'work', 'the secret life of the american teenager_4': 'the secret life of the american teenager'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'work_3': [0], 'the secret life of the american teenager_4': [0]} | ['year', 'award', 'work', 'category', 'result'] | [['2009', 'teen choice awards', 'the secret life of the american teenager', 'choice summer tv star : male', 'won'], ['2009', 'teen choice awards', 'the secret life of the american teenager', 'choice tv breakout star : male', 'nominated'], ['2010', 'teen choice awards', 'the secret life of the american teenager', 'choic... |
list of swat kats : the radical squadron episodes | https://en.wikipedia.org/wiki/List_of_SWAT_Kats%3A_The_Radical_Squadron_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-17810099-3.html.csv | majority | of the swat kats : the radical squadron episodes , all of them were directed by robert alvarez . | {'scope': 'all', 'col': '5', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'robert alvarez', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'director', 'robert alvarez'], 'result': True, 'ind': 0, 'tointer': 'for the director records of all rows , all of them fuzzily match to robert alvarez .', 'tostr': 'all_eq { all_rows ; director ; robert alvarez } = true'} | all_eq { all_rows ; director ; robert alvarez } = true | for the director records of all rows , all of them fuzzily match to robert alvarez . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'director_3': 3, 'robert alvarez_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'director_3': 'director', 'robert alvarez_4': 'robert alvarez'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'director_3': [0], 'robert alvarez_4': [0]} | ['episode', 'season', 'title', 'writer ( s )', 'director', 'originalairdate'] | [['14', '2', 'mutation city', 'glenn leopold', 'robert alvarez', 'september 10 , 1994'], ['15', '2', 'a bright and shiny future', 'glenn leopold', 'robert alvarez', 'september 17 , 1994'], ['16', '2', 'when mutilor strikes', 'lance falk', 'robert alvarez', 'september 24 , 1994'], ['17', '2', "razor 's edge", 'mark sara... |
robby gordon | https://en.wikipedia.org/wiki/Robby_Gordon | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1507423-4.html.csv | ordinal | the second highest amount of winnings that robby gordon had was in 2003 . | {'row': '10', 'col': '9', 'order': '2', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'winnings', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; winnings ; 2 }'}, 'year'], 'result': '2003', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; winnings ; 2 } ; year }'}, '2003'], 'result': True... | eq { hop { nth_argmax { all_rows ; winnings ; 2 } ; year } ; 2003 } = true | select the row whose winnings record of all rows is 2nd maximum . the year record of this row is 2003 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'num_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'winnings_5': 5, '2_6': 6, 'year_7': 7, '2003_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'num_hop_1': 'num_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'winnings_5': 'winnings', '2_6': '2', 'year_7': 'year', '2003_8': '2003'} | {'eq_2': [3], 'result_3': [], 'num_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'winnings_5': [0], '2_6': [0], 'year_7': [1], '2003_8': [2]} | ['year', 'starts', 'wins', 'top 5', 'top 10', 'poles', 'avg start', 'avg finish', 'winnings', 'position'] | [['1991', '2', '0', '0', '0', '0', '35.0', '22.0', '27625', '55th'], ['1993', '1', '0', '0', '0', '0', '14.0', '42.0', '17665', '93rd'], ['1994', '1', '0', '0', '0', '0', '38.0', '38.0', '7965', '76th'], ['1996', '3', '0', '0', '0', '0', '17.3', '40.7', '33915', '57th'], ['1997', '20', '0', '1', '1', '1', '25.3', '29.6... |
french west african cup | https://en.wikipedia.org/wiki/French_West_African_Cup | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-12444503-1.html.csv | unique | the only team to score more than 5 goals when asec abidjan were runners up in the french west african cup was us gorée . | {'scope': 'subset', 'row': '9', 'col': '3', 'col_other': '2', 'criterion': 'greater_than', 'value': '5', 'subset': {'col': '4', 'criterion': 'equal', 'value': 'asec abidjan'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_greater', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'runner - up', 'asec abidjan'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; runner - up ; asec abidjan }', 'tointer': 'select the rows whose runner - up record fuzzily mat... | and { only { filter_greater { filter_eq { all_rows ; runner - up ; asec abidjan } ; score ; 5 } } ; eq { hop { filter_greater { filter_eq { all_rows ; runner - up ; asec abidjan } ; score ; 5 } ; winner } ; us gorée } } = true | select the rows whose runner - up record fuzzily matches to asec abidjan . among these rows , select the rows whose score record is greater than 5 . there is only one such row in the table . the winner record of this unqiue row is us gorée . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_greater_1': 1, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'runner - up_8': 8, 'asec abidjan_9': 9, 'score_10': 10, '5_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'winner_12': 12, 'us gorée_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_greater_1': 'filter_greater', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'runner - up_8': 'runner - up', 'asec abidjan_9': 'asec abidjan', 'score_10': 'score', '5_11': '5', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'winner_12': 'winne... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_greater_1': [2, 3], 'filter_str_eq_0': [1], 'all_rows_7': [0], 'runner - up_8': [0], 'asec abidjan_9': [0], 'score_10': [1], '5_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'winner_12': [3], 'us gorée_13': [4]} | ['season', 'winner', 'score', 'runner - up', 'lost to eventual winner', 'lost to eventual runner - up'] | [['1947', 'us gorée', '2 - 1', "asc jeanne d'arc", 'espoir saint - louis', 'espérance rufisque'], ['1948', 'foyer france sénégal', '4 - 0', "jeunesse club d'abidjan", 'saint - louisienne', 'racing club de conakry'], ['1949', 'racing club de dakar', '3 - 0', 'racing club de conakry', 'espoir saint - louis', 'usc bassam'... |
1968 vfl season | https://en.wikipedia.org/wiki/1968_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10808933-2.html.csv | comparative | in the 1968 vfl season , the glenferrie oval venue had a smaller crowd than the mcg venue . | {'row_1': '1', 'row_2': '6', 'col': '6', 'col_other': '5', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'venue', 'glenferrie oval'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose venue record fuzzily matches to glenferrie oval .', 'tostr': 'filter_eq { all_rows ; venue ; glenferrie oval }'}, 'crowd'], 'resu... | less { hop { filter_eq { all_rows ; venue ; glenferrie oval } ; crowd } ; hop { filter_eq { all_rows ; venue ; mcg } ; crowd } } = true | select the rows whose venue record fuzzily matches to glenferrie oval . take the crowd record of this row . select the rows whose venue record fuzzily matches to mcg . take the crowd record of this row . the first record is less than the second record . | 5 | 5 | {'less_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'venue_7': 7, 'glenferrie oval_8': 8, 'crowd_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'venue_11': 11, 'mcg_12': 12, 'crowd_13': 13} | {'less_4': 'less', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'venue_7': 'venue', 'glenferrie oval_8': 'glenferrie oval', 'crowd_9': 'crowd', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'venue_11': 'venue', 'mcg_12... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'venue_7': [0], 'glenferrie oval_8': [0], 'crowd_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'venue_11': [1], 'mcg_12': [1], 'crowd_13': [3]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['hawthorn', '17.24 ( 126 )', 'south melbourne', '19.12 ( 126 )', 'glenferrie oval', '13536', '20 april 1968'], ['st kilda', '16.22 ( 118 )', 'melbourne', '9.8 ( 62 )', 'moorabbin oval', '21758', '20 april 1968'], ['geelong', '9.17 ( 71 )', 'footscray', '6.11 ( 47 )', 'kardinia park', '14589', '20 april 1968'], ['nort... |
australian national bl class | https://en.wikipedia.org/wiki/Australian_National_BL_class | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11373937-1.html.csv | ordinal | the bl28 australian national bl class locomotive is the third earliest to enter service . | {'row': '3', 'col': '3', 'order': '3', 'col_other': '1', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'entered service', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; entered service ; 3 }'}, 'locomotive'], 'result': 'bl28', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; entered service ; 3 } ; lo... | eq { hop { nth_argmin { all_rows ; entered service ; 3 } ; locomotive } ; bl28 } = true | select the row whose entered service record of all rows is 3rd minimum . the locomotive record of this row is bl28 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'entered service_5': 5, '3_6': 6, 'locomotive_7': 7, 'bl28_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'entered service_5': 'entered service', '3_6': '3', 'locomotive_7': 'locomotive', 'bl28_8': 'bl28'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'entered service_5': [0], '3_6': [0], 'locomotive_7': [1], 'bl28_8': [2]} | ['locomotive', 'serial no', 'entered service', 'gauge', 'livery'] | [['bl26', '83 - 1010', 'march 1983', 'standard', 'pacific national blue & yellow'], ['bl27', '83 - 1011', 'august 1983', 'standard', 'pacific national blue & yellow'], ['bl28', '83 - 1012', 'september 1983', 'standard', 'pacific national blue & yellow'], ['bl29', '83 - 1013', 'october 1983', 'broad', 'pacific national ... |
munkedals if | https://en.wikipedia.org/wiki/Munkedals_IF | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12220421-1.html.csv | unique | the 1946 - 47 season was the only season that munkedals if finished in 8th place . | {'scope': 'all', 'row': '15', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': '8th', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', '8th'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to 8th .', 'tostr': 'filter_eq { all_rows ; position ; 8th }'}], 'result': True, 'ind': 1, 'tostr': 'only { fi... | and { only { filter_eq { all_rows ; position ; 8th } } ; eq { hop { filter_eq { all_rows ; position ; 8th } ; season } ; 1946 - 47 } } = true | select the rows whose position record fuzzily matches to 8th . there is only one such row in the table . the season record of this unqiue row is 1946 - 47 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'position_7': 7, '8th_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'season_9': 9, '1946 - 47_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'position_7': 'position', '8th_8': '8th', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'season_9': 'season', '1946 - 47_10': '1946 - 47'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'position_7': [0], '8th_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'season_9': [2], '1946 - 47_10': [3]} | ['season', 'level', 'division', 'section', 'position'] | [['1932 - 33', 'tier 3', 'division 3', 'västsvenska', '7th'], ['1933 - 34', 'tier 3', 'division 3', 'västsvenska', '6th'], ['1934 - 35', 'tier 3', 'division 3', 'västsvenska norra', '7th'], ['1935 - 36', 'tier 3', 'division 3', 'västsvenska norra', '6th'], ['1936 - 37', 'tier 3', 'division 3', 'västsvenska norra', '7th... |
bosnia and herzegovina davis cup team | https://en.wikipedia.org/wiki/Bosnia_and_Herzegovina_Davis_Cup_team | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10295599-5.html.csv | unique | the only time the davis cup tennis team from bosnia and herzegovina lost in 2010 was when they played in cruz quebrada , portugal . | {'scope': 'subset', 'row': '3', 'col': '7', 'col_other': '5', 'criterion': 'equal', 'value': 'lost', 'subset': {'col': '1', 'criterion': 'equal', 'value': '2010'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'year', '2010'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; year ; 2010 }', 'tointer': 'select the rows whose year record is equal to 2010 .'}, 'result', 'lost'], 'result': No... | and { only { filter_eq { filter_eq { all_rows ; year ; 2010 } ; result ; lost } } ; eq { hop { filter_eq { filter_eq { all_rows ; year ; 2010 } ; result ; lost } ; location } ; cruz quebrada , portugal } } = true | select the rows whose year record is equal to 2010 . among these rows , select the rows whose result record fuzzily matches to lost . there is only one such row in the table . the location record of this unqiue row is cruz quebrada , portugal . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_str_eq_1': 1, 'filter_eq_0': 0, 'all_rows_7': 7, 'year_8': 8, '2010_9': 9, 'result_10': 10, 'lost_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'location_12': 12, 'cruz quebrada , portugal_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_str_eq_1': 'filter_str_eq', 'filter_eq_0': 'filter_eq', 'all_rows_7': 'all_rows', 'year_8': 'year', '2010_9': '2010', 'result_10': 'result', 'lost_11': 'lost', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'location_12': 'location', 'cruz quebrada , portuga... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_str_eq_1': [2, 3], 'filter_eq_0': [1], 'all_rows_7': [0], 'year_8': [0], '2010_9': [0], 'result_10': [1], 'lost_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'location_12': [3], 'cruz quebrada , portugal_13': [4]} | ['year', 'competition', 'date', 'surface', 'location', 'score', 'result'] | [['2010', 'europe / africa zone group ii first round', '5 - 7 march', 'clay', 'veles , macedonia', '3 - 2', 'won'], ['2010', 'europe / africa zone group ii quarterfinals', '9 - 11 july', 'clay', 'tallinn , estonia', '3 - 2', 'won'], ['2010', 'europe / africa zone group ii semifinals', '17 - 19 september', 'clay', 'cruz... |
myrtle beach 250 | https://en.wikipedia.org/wiki/Myrtle_Beach_250 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23015396-1.html.csv | comparative | mark martin had a higher average speed than chuck bown in the myrtle beach 250 . | {'row_1': '3', 'row_2': '4', 'col': '8', 'col_other': '3', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'driver', 'mark martin'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose driver record fuzzily matches to mark martin .', 'tostr': 'filter_eq { all_rows ; driver ; mark martin }'}, 'average speed ( mph ... | greater { hop { filter_eq { all_rows ; driver ; mark martin } ; average speed ( mph ) } ; hop { filter_eq { all_rows ; driver ; chuck bown } ; average speed ( mph ) } } = true | select the rows whose driver record fuzzily matches to mark martin . take the average speed ( mph ) record of this row . select the rows whose driver record fuzzily matches to chuck bown . take the average speed ( mph ) record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'driver_7': 7, 'mark martin_8': 8, 'average speed (mph)_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'driver_11': 11, 'chuck bown_12': 12, 'average speed (mph)_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'driver_7': 'driver', 'mark martin_8': 'mark martin', 'average speed (mph)_9': 'average speed ( mph )', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows'... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'driver_7': [0], 'mark martin_8': [0], 'average speed (mph)_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'driver_11': [1], 'chuck bown_12': [1], 'average speed (mph)_13': [3]} | ['year', 'date', 'driver', 'manufacturer', 'laps', '-', 'race time', 'average speed ( mph )'] | [['1988', 'july 2', 'rob moroso', 'oldsmobile', '200', '107.6 ( 173.165 )', '1:36:04', '66.971'], ['1989', 'july 4', 'jimmy spencer', 'buick', '200', '107.6 ( 173.165 )', '1:25:01', '75.938'], ['1990', 'june 30', 'mark martin', 'ford', '200', '107.6 ( 173.165 )', '1:24:52', '76.072'], ['1991', 'june 22', 'chuck bown', ... |
wind power in the republic of ireland | https://en.wikipedia.org/wiki/Wind_power_in_the_Republic_of_Ireland | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14101606-2.html.csv | ordinal | codling wind farm has the highest wind power capacity ( mw ) in the republic of ireland . | {'row': '1', 'col': '3', 'order': '1', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'capacity ( mw )', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; capacity ( mw ) ; 1 }'}, 'wind farm'], 'result': 'codling', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; capacity ( mw ) ; 1 } ; ... | eq { hop { nth_argmax { all_rows ; capacity ( mw ) ; 1 } ; wind farm } ; codling } = true | select the row whose capacity ( mw ) record of all rows is 1st maximum . the wind farm record of this row is codling . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'capacity (mw)_5': 5, '1_6': 6, 'wind farm_7': 7, 'codling_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'capacity (mw)_5': 'capacity ( mw )', '1_6': '1', 'wind farm_7': 'wind farm', 'codling_8': 'codling'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'capacity (mw)_5': [0], '1_6': [0], 'wind farm_7': [1], 'codling_8': [2]} | ['wind farm', 'scheduled', 'capacity ( mw )', 'turbines', 'type', 'location'] | [['codling', 'unknown', '1100', '220', 'unknown', 'county wicklow'], ['carrowleagh', '2012', '36.8', '16', 'enercon e - 70 2.3', 'county cork'], ['dublin array', '2015', '364', '145', 'unknown', 'county dublin'], ['glenmore', '2009 summer', '30', '10', 'vestas v90', 'county clare'], ['glenough', '2010 winter', '32.5', ... |
1971 u.s. open ( golf ) | https://en.wikipedia.org/wiki/1971_U.S._Open_%28golf%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17245565-4.html.csv | majority | the majority of the top finishers at the 1971 us open golf tournament scored a 70 and finished even . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'equal', 'value': '70', 'subset': None} | {'func': 'most_eq', 'args': ['all_rows', 'score', '70'], 'result': True, 'ind': 0, 'tointer': 'for the score records of all rows , most of them are equal to 70 .', 'tostr': 'most_eq { all_rows ; score ; 70 } = true'} | most_eq { all_rows ; score ; 70 } = true | for the score records of all rows , most of them are equal to 70 . | 1 | 1 | {'most_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'score_3': 3, '70_4': 4} | {'most_eq_0': 'most_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'score_3': 'score', '70_4': '70'} | {'most_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'score_3': [0], '70_4': [0]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'labron harris', 'united states', '67', '- 3'], ['t2', 'bob goalby', 'united states', '68', '- 2'], ['t2', 'doug sanders', 'united states', '68', '- 2'], ['t2', 'lanny wadkins ( a )', 'united states', '68', '- 2'], ['t5', 'jim colbert', 'united states', '69', '- 1'], ['t5', 'jack nicklaus', 'united states', '69'... |
2002 pga tour | https://en.wikipedia.org/wiki/2002_PGA_Tour | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14583241-4.html.csv | aggregation | in 2002 , the top 5 players on the pga tour earned an average of $ 22,046,805 . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '22046805', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'earnings'], 'result': '22046805', 'ind': 0, 'tostr': 'avg { all_rows ; earnings }'}, '22046805'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; earnings } ; 22046805 } = true', 'tointer': 'the average of the earnings record of all row... | round_eq { avg { all_rows ; earnings } ; 22046805 } = true | the average of the earnings record of all rows is 22046805 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'earnings_4': 4, '22046805_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'earnings_4': 'earnings', '22046805_5': '22046805'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'earnings_4': [0], '22046805_5': [1]} | ['rank', 'player', 'country', 'earnings', 'wins'] | [['1', 'tiger woods', 'united states', '33103852', '34'], ['2', 'phil mickelson', 'united states', '22149969', '21'], ['3', 'davis love iii', 'united states', '20050850', '14'], ['4', 'vijay singh', 'fiji', '18281015', '11'], ['5', 'nick price', 'zimbabwe', '16648337', '18']] |
ricardo páez | https://en.wikipedia.org/wiki/Ricardo_P%C3%A1ez | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14394530-1.html.csv | count | 5 of the matches took place in venezuela . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'venezuela', 'result': '5', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'venue', 'venezuela'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose venue record fuzzily matches to venezuela .', 'tostr': 'filter_eq { all_rows ; venue ; venezuela }'}], 'result': '5', 'ind': 1, 'tostr': 'c... | eq { count { filter_eq { all_rows ; venue ; venezuela } } ; 5 } = true | select the rows whose venue record fuzzily matches to venezuela . the number of such rows is 5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'venue_5': 5, 'venezuela_6': 6, '5_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'venue_5': 'venue', 'venezuela_6': 'venezuela', '5_7': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'venue_5': [0], 'venezuela_6': [0], '5_7': [2]} | ['goal', 'date', 'venue', 'score', 'result', 'competition'] | [['1', 'september 4 , 2001', 'estadio nacional de chile , santiago , chile', '0 - 1', '0 - 2', '2002 world cup qualification'], ['2', 'november 20 , 2002', 'brígido iriarte , caracas , venezuela', '1 - 0', '1 - 0', 'friendly'], ['3', 'april 2 , 2003', 'brígido iriarte , caracas , venezuela', '2 - 0', '2 - 0', 'friendly... |
united states house of representatives elections , 1962 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1962 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341884-11.html.csv | superlative | during united states house of representatives elections in 1962 , charles edward bennett was the incumbent from democratic party that has been first elected the longest time ago . | {'scope': 'subset', 'col_superlative': '4', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '2,3', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'democratic'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'party', 'democratic'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; party ; democratic }', 'tointer': 'select the rows whose party record fuzzily matches to democratic .'}, ... | eq { hop { argmin { filter_eq { all_rows ; party ; democratic } ; first elected } ; incumbent } ; charles edward bennett } = true | select the rows whose party record fuzzily matches to democratic . select the row whose first elected record of these rows is minimum . the incumbent record of this row is charles edward bennett . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'argmin_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'party_6': 6, 'democratic_7': 7, 'first elected_8': 8, 'incumbent_9': 9, 'charles edward bennett_10': 10} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'argmin_1': 'argmin', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'party_6': 'party', 'democratic_7': 'democratic', 'first elected_8': 'first elected', 'incumbent_9': 'incumbent', 'charles edward bennett_10': 'charles edward bennett'} | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'argmin_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'party_6': [0], 'democratic_7': [0], 'first elected_8': [1], 'incumbent_9': [2], 'charles edward bennett_10': [3]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['florida 2', 'charles edward bennett', 'democratic', '1948', 're - elected', 'charles edward bennett ( d ) unopposed'], ['florida 6', 'paul rogers', 'democratic', '1954', 're - elected', 'paul rogers ( d ) 64.2 % frederick a kibbe ( r ) 35.8 %'], ['florida 7', 'james a haley', 'democratic', '1952', 're - elected', 'j... |
independent girls ' schools sports association ( south australia ) | https://en.wikipedia.org/wiki/Independent_Girls%27_Schools_Sports_Association_%28South_Australia%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-22043925-1.html.csv | aggregation | the average student enrollment for schools in the independent girls ' schools sports association is 831 . | {'scope': 'all', 'col': '3', 'type': 'average', 'result': '831', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'enrolment'], 'result': '831', 'ind': 0, 'tostr': 'avg { all_rows ; enrolment }'}, '831'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; enrolment } ; 831 } = true', 'tointer': 'the average of the enrolment record of all rows is 831 .'... | round_eq { avg { all_rows ; enrolment } ; 831 } = true | the average of the enrolment record of all rows is 831 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'enrolment_4': 4, '831_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'enrolment_4': 'enrolment', '831_5': '831'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'enrolment_4': [0], '831_5': [1]} | ['school', 'location', 'enrolment', 'founded', 'denomination', 'boys / girls', 'day / boarding', 'school colors'] | [['annesley college', 'wayville', '530', '1902', 'uniting church', 'girls', 'day & boarding', 'maroon & white'], ['concordia college', 'highgate', '700', '1890', 'lutheran', 'boys & girls', 'day', 'blue & gold'], ['immanuel college', 'novar gardens', '800', '1895', 'lutheran', 'boys & girls', 'day & boarding', 'blue , ... |
1986 open championship | https://en.wikipedia.org/wiki/1986_Open_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18150723-3.html.csv | count | in the 1986 open championship , among the players from england , 3 of them had a score of 71 . | {'scope': 'subset', 'criterion': 'equal', 'value': '71', 'result': '3', 'col': '4', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'england'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'england'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; country ; england }', 'tointer': 'select the rows whose country record fuzzily matches to england .'}, 'score... | eq { count { filter_eq { filter_eq { all_rows ; country ; england } ; score ; 71 } } ; 3 } = true | select the rows whose country record fuzzily matches to england . among these rows , select the rows whose score record is equal to 71 . the number of such rows is 3 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'country_6': 6, 'england_7': 7, 'score_8': 8, '71_9': 9, '3_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_eq_1': 'filter_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'country_6': 'country', 'england_7': 'england', 'score_8': 'score', '71_9': '71', '3_10': '3'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'country_6': [0], 'england_7': [0], 'score_8': [1], '71_9': [1], '3_10': [3]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'ian woosnam', 'wales', '70', 'e'], ['t2', 'gordon j brand', 'england', '71', '+ 1'], ['t2', 'nick faldo', 'england', '71', '+ 1'], ['t2', 'anders forsbrand', 'sweden', '71', '+ 1'], ['t2', 'robert lee', 'england', '71', '+ 1'], ['t6', 'andrew brooks', 'scotland', '72', '+ 2'], ['t6', 'ron commans', 'united stat... |
1958 formula one season | https://en.wikipedia.org/wiki/1958_Formula_One_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1140110-6.html.csv | count | the 1958 formula one season had 5 circuits put into use . | {'scope': 'all', 'criterion': 'all', 'value': 'n/a', 'result': '5', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_all', 'args': ['all_rows', 'circuit'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose circuit record is arbitrary .', 'tostr': 'filter_all { all_rows ; circuit }'}], 'result': '5', 'ind': 1, 'tostr': 'count { filter_all { all_rows ; circui... | eq { count { filter_all { all_rows ; circuit } } ; 5 } = true | select the rows whose circuit record is arbitrary . the number of such rows is 5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_all_0': 0, 'all_rows_4': 4, 'circuit_5': 5, '5_6': 6} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_all_0': 'filter_all', 'all_rows_4': 'all_rows', 'circuit_5': 'circuit', '5_6': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_all_0': [1], 'all_rows_4': [0], 'circuit_5': [0], '5_6': [2]} | ['race name', 'circuit', 'date', 'winning driver', 'constructor', 'report'] | [['vi glover trophy', 'goodwood', '7 april', 'mike hawthorn', 'ferrari', 'report'], ['viii gran premio di siracusa', 'syracuse', '13 april', 'luigi musso', 'ferrari', 'report'], ['xiii barc aintree 200', 'aintree', '19 april', 'stirling moss', 'cooper - climax', 'report'], ['x brdc international trophy', 'silverstone',... |
gabriela navrátilová | https://en.wikipedia.org/wiki/Gabriela_Navr%C3%A1tilov%C3%A1 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14935689-2.html.csv | majority | all of gabriela navrátilová 's tournaments took place after the year 2000 . | {'scope': 'all', 'col': '1', 'most_or_all': 'all', 'criterion': 'greater_than', 'value': '2000', 'subset': None} | {'func': 'all_greater', 'args': ['all_rows', 'date', '2000'], 'result': True, 'ind': 0, 'tointer': 'for the date records of all rows , all of them are greater than 2000 .', 'tostr': 'all_greater { all_rows ; date ; 2000 } = true'} | all_greater { all_rows ; date ; 2000 } = true | for the date records of all rows , all of them are greater than 2000 . | 1 | 1 | {'all_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date_3': 3, '2000_4': 4} | {'all_greater_0': 'all_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date_3': 'date', '2000_4': '2000'} | {'all_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'date_3': [0], '2000_4': [0]} | ['date', 'tournament', 'surface', 'partnering', 'opponents in the final', 'score'] | [['march 1 , 2004', 'acapulco , mexico', 'clay', 'olga blahotová', 'lisa mcshea milagros sequera', '2 - 6 , 7 - 6 ( 7 - 5 ) , 6 - 4'], ['march 12 , 2004', 'estoril , portugal', 'clay', 'olga blahotová', 'emmanuelle gagliardi janette husárová', '6 - 3 , 6 - 2'], ['january 10 , 2005', 'canberra , australia', 'hard', 'mic... |
east kent mavericks | https://en.wikipedia.org/wiki/East_Kent_Mavericks | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16994082-1.html.csv | aggregation | the east kent mavericks had a total of 45 wins overall . | {'scope': 'all', 'col': '3', 'type': 'sum', 'result': '45', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'wins'], 'result': '45', 'ind': 0, 'tostr': 'sum { all_rows ; wins }'}, '45'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; wins } ; 45 } = true', 'tointer': 'the sum of the wins record of all rows is 45 .'} | round_eq { sum { all_rows ; wins } ; 45 } = true | the sum of the wins record of all rows is 45 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'wins_4': 4, '45_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'wins_4': 'wins', '45_5': '45'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'wins_4': [0], '45_5': [1]} | ['season', 'division', 'wins', 'ties', 'final position'] | [['2001', 'british senior flag league , southern', '3', '1', '2 / 4'], ['2002', 'british senior flag league , nine - man league', '5', '3', '2 / 7'], ['2003 to 2005', 'did not compete', 'did not compete', 'did not compete', 'did not compete'], ['2006', 'bafl division two south', '0', '0', '4 / 4'], ['2007', 'bafl divis... |
1966 u.s. open ( golf ) | https://en.wikipedia.org/wiki/1966_U.S._Open_%28golf%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17277136-4.html.csv | superlative | in the 1966 u.s. open ( golf ) , billy casper ranks the highest . | {'scope': 'all', 'col_superlative': '1', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '2', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'place'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; place }'}, 'player'], 'result': 'billy casper', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; place } ; player }'}, 'billy casper'], 'result': True, 'ind': 2... | eq { hop { argmin { all_rows ; place } ; player } ; billy casper } = true | select the row whose place record of all rows is minimum . the player record of this row is billy casper . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'place_5': 5, 'player_6': 6, 'billy casper_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'place_5': 'place', 'player_6': 'player', 'billy casper_7': 'billy casper'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'place_5': [0], 'player_6': [1], 'billy casper_7': [2]} | ['place', 'player', 'country', 'score', 'to par'] | [['t1', 'billy casper', 'united states', '69 + 68 = 137', '- 3'], ['t1', 'arnold palmer', 'united states', '71 + 66 = 137', '- 3'], ['t3', 'phil rodgers', 'united states', '70 + 70 = 140', 'e'], ['t3', 'rives mcbee', 'united states', '76 + 64 = 140', 'e'], ['t5', 'jack nicklaus', 'united states', '71 + 71 = 142', '+ 2'... |
ainsi soit je ... ( song ) | https://en.wikipedia.org/wiki/Ainsi_soit_je..._%28song%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15146625-2.html.csv | comparative | the maxi remix version of ainsi soit je ... is longer than the single version . | {'row_1': '3', 'row_2': '1', 'col': '2', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'version', 'maxi remix'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose version record fuzzily matches to maxi remix .', 'tostr': 'filter_eq { all_rows ; version ; maxi remix }'}, 'length'], 'result': ... | greater { hop { filter_eq { all_rows ; version ; maxi remix } ; length } ; hop { filter_eq { all_rows ; version ; single version } ; length } } = true | select the rows whose version record fuzzily matches to maxi remix . take the length record of this row . select the rows whose version record fuzzily matches to single version . take the length record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'version_7': 7, 'maxi remix_8': 8, 'length_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'version_11': 11, 'single version_12': 12, 'length_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'version_7': 'version', 'maxi remix_8': 'maxi remix', 'length_9': 'length', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'version_11': 'version', '... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'version_7': [0], 'maxi remix_8': [0], 'length_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'version_11': [1], 'single version_12': [1], 'length_13': [3]} | ['version', 'length', 'album', 'remixed by', 'year'] | [['single version', '4:30', '-', '-', '1988'], ['album version', '6:18', 'ainsi soit je', 'laurent boutonnat', '1988'], ['maxi remix', '7:10', 'dance remixes', 'thierry rogen', '1988'], ['classic bonus beat', '6:22', '-', 'thierry rogen', '1988'], ['lamentations', '4:45', '-', 'thierry rogen', '1988'], ['music video', ... |
1983 - 84 fa cup | https://en.wikipedia.org/wiki/1983%E2%80%9384_FA_Cup | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17437287-6.html.csv | unique | the only match played on 14 march 1984 was a replay between derby county and plymouth argyle . | {'scope': 'all', 'row': '5', 'col': '5', 'col_other': '2', 'criterion': 'equal', 'value': '14 march 1984', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', '14 march 1984'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to 14 march 1984 .', 'tostr': 'filter_eq { all_rows ; date ; 14 march 1984 }'}], 'result': True, 'ind': 1, '... | and { only { filter_eq { all_rows ; date ; 14 march 1984 } } ; eq { hop { filter_eq { all_rows ; date ; 14 march 1984 } ; home team } ; derby county } } = true | select the rows whose date record fuzzily matches to 14 march 1984 . there is only one such row in the table . the home team record of this unqiue row is derby county . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'date_7': 7, '14 march 1984_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'home team_9': 9, 'derby county_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'date_7': 'date', '14 march 1984_8': '14 march 1984', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'home team_9': 'home team', 'derby county_10': 'derby county'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'date_7': [0], '14 march 1984_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'home team_9': [2], 'derby county_10': [3]} | ['tie no', 'home team', 'score', 'away team', 'date'] | [['1', 'notts county', '1 - 2', 'everton', '10 march 1984'], ['2', 'sheffield wednesday', '0 - 0', 'southampton', '11 march 1984'], ['replay', 'southampton', '5 - 1', 'sheffield wednesday', '20 march 1984'], ['3', 'plymouth argyle', '0 - 0', 'derby county', '10 march 1984'], ['replay', 'derby county', '0 - 1', 'plymout... |
united states house of representatives elections , 2006 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_2006 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1805191-2.html.csv | unique | robert cramer was the only incumbent to the united states house of representatives who was a democrat . | {'scope': 'all', 'row': '4', 'col': '3', 'col_other': '2', 'criterion': 'equal', 'value': 'democratic', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'party', 'democratic'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose party record fuzzily matches to democratic .', 'tostr': 'filter_eq { all_rows ; party ; democratic }'}], 'result': True, 'ind': 1, 'tostr'... | and { only { filter_eq { all_rows ; party ; democratic } } ; eq { hop { filter_eq { all_rows ; party ; democratic } ; incumbent } ; robert cramer } } = true | select the rows whose party record fuzzily matches to democratic . there is only one such row in the table . the incumbent record of this unqiue row is robert cramer . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'party_7': 7, 'democratic_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'incumbent_9': 9, 'robert cramer_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'party_7': 'party', 'democratic_8': 'democratic', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'incumbent_9': 'incumbent', 'robert cramer_10': 'robert cramer'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'party_7': [0], 'democratic_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'incumbent_9': [2], 'robert cramer_10': [3]} | ['district', 'incumbent', 'party', 'first elected', 'results', 'candidates'] | [['alabama 1', 'jo bonner', 'republican', '2002', 're - elected', 'jo bonner ( r ) 68.1 % vivian beckerle ( d ) 31.8 %'], ['alabama 2', 'terry everett', 'republican', '1992', 're - elected', 'terry everett ( r ) 69.5 % chuck james ( d ) 30.4 %'], ['alabama 4', 'robert aderholt', 'republican', '1996', 're - elected', 'r... |
1995 miami dolphins season | https://en.wikipedia.org/wiki/1995_Miami_Dolphins_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16023832-2.html.csv | aggregation | during the 1995 miami dolphins season , the average attendance each week was about 66000 . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '66000', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'attendance'], 'result': '66000', 'ind': 0, 'tostr': 'avg { all_rows ; attendance }'}, '66000'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; attendance } ; 66000 } = true', 'tointer': 'the average of the attendance record of all rows... | round_eq { avg { all_rows ; attendance } ; 66000 } = true | the average of the attendance record of all rows is 66000 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'attendance_4': 4, '66000_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'attendance_4': 'attendance', '66000_5': '66000'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'attendance_4': [0], '66000_5': [1]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 3 , 1995', 'new york jets', 'w 52 - 14', '71317'], ['2', 'september 10 , 1995', 'new england patriots', 'w 20 - 3', '60239'], ['3', 'september 18 , 1995', 'pittsburgh steelers', 'w 23 - 10', '72874'], ['5', 'october 1 , 1995', 'cincinnati bengals', 'w 26 - 23', '52671'], ['6', 'october 8 , 1995', 'ind... |
chad little | https://en.wikipedia.org/wiki/Chad_Little | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1875157-1.html.csv | count | chad little was in top 5 for one time . | {'scope': 'all', 'criterion': 'equal', 'value': '1', 'result': '1', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'top 5', '1'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose top 5 record is equal to 1 .', 'tostr': 'filter_eq { all_rows ; top 5 ; 1 }'}], 'result': '1', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; top 5... | eq { count { filter_eq { all_rows ; top 5 ; 1 } } ; 1 } = true | select the rows whose top 5 record is equal to 1 . the number of such rows is 1 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'top 5_5': 5, '1_6': 6, '1_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'top 5_5': 'top 5', '1_6': '1', '1_7': '1'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'top 5_5': [0], '1_6': [0], '1_7': [2]} | ['year', 'starts', 'wins', 'top 5', 'top 10', 'poles', 'avg start', 'avg finish', 'winnings', 'position', 'team ( s )'] | [['1986', '2', '0', '0', '0', '0', '31.0', '24.0', '6065', '70th', '28 jefferson racing'], ['1987', '2', '0', '0', '0', '0', '32.5', '15.0', '8810', '60th', '95 jefferson racing'], ['1989', '8', '0', '0', '0', '0', '29.9', '29.2', '44690', '38th', '90 donlavey racing'], ['1990', '18', '0', '0', '0', '0', '29.1', '24.1'... |
2008 nascar craftsman truck series | https://en.wikipedia.org/wiki/2008_NASCAR_Craftsman_Truck_Series | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14292964-20.html.csv | unique | among the top 10 , only one car is made by dodge . | {'scope': 'all', 'row': '2', 'col': '4', 'col_other': 'n/a', 'criterion': 'equal', 'value': 'dodge', 'subset': None} | {'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'make', 'dodge'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose make record fuzzily matches to dodge .', 'tostr': 'filter_eq { all_rows ; make ; dodge }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; make ; dod... | only { filter_eq { all_rows ; make ; dodge } } = true | select the rows whose make record fuzzily matches to dodge . there is only one such row in the table . | 2 | 2 | {'only_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'make_4': 4, 'dodge_5': 5} | {'only_1': 'only', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'make_4': 'make', 'dodge_5': 'dodge'} | {'only_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'make_4': [0], 'dodge_5': [0]} | ['pos', 'car', 'driver', 'make', 'team'] | [['1', '33', 'ron hornaday', 'chevrolet', 'kevin harvick incorporated'], ['2', '18', 'dennis setzer', 'dodge', 'bobby hamilton racing - virginia'], ['3', '23', 'johnny benson', 'toyota', 'bill davis racing'], ['4', '30', 'todd bodine', 'toyota', 'germian racing'], ['5', '2', 'jack sprague', 'chevy', 'kevin harvick inco... |
1926 vfl season | https://en.wikipedia.org/wiki/1926_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10746808-1.html.csv | majority | all the matches of the 1926 vfl season were played on 1 may 1926 . | {'scope': 'all', 'col': '7', 'most_or_all': 'all', 'criterion': 'equal', 'value': '1 may 1926', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'date', '1 may 1926'], 'result': True, 'ind': 0, 'tointer': 'for the date records of all rows , all of them fuzzily match to 1 may 1926 .', 'tostr': 'all_eq { all_rows ; date ; 1 may 1926 } = true'} | all_eq { all_rows ; date ; 1 may 1926 } = true | for the date records of all rows , all of them fuzzily match to 1 may 1926 . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date_3': 3, '1 may 1926_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date_3': 'date', '1 may 1926_4': '1 may 1926'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'date_3': [0], '1 may 1926_4': [0]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['melbourne', '13.14 ( 92 )', 'st kilda', '8.15 ( 63 )', 'mcg', '18742', '1 may 1926'], ['essendon', '15.14 ( 104 )', 'north melbourne', '6.17 ( 53 )', 'windy hill', '15000', '1 may 1926'], ['south melbourne', '11.11 ( 77 )', 'richmond', '12.13 ( 85 )', 'lake oval', '20000', '1 may 1926'], ['geelong', '13.15 ( 93 )', ... |
chinese jia - a league 2003 | https://en.wikipedia.org/wiki/Chinese_Jia-A_League_2003 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18983113-2.html.csv | aggregation | the average total position for chinese jia - a league 2003 is 10.73 . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '10.73', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'total position'], 'result': '10.73', 'ind': 0, 'tostr': 'avg { all_rows ; total position }'}, '10.73'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; total position } ; 10.73 } = true', 'tointer': 'the average of the total position re... | round_eq { avg { all_rows ; total position } ; 10.73 } = true | the average of the total position record of all rows is 10.73 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'total position_4': 4, '10.73_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'total position_4': 'total position', '10.73_5': '10.73'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'total position_4': [0], '10.73_5': [1]} | ['team', '2002 position', '2003 position', 'total position', 'qualification'] | [['dalian shide', '0.5', '3.0', '3.5', 'entry to the 2004 chinese super league'], ['shenzhen jianlibao', '1.0', '4.0', '5.0', 'entry to the 2004 chinese super league'], ['shanghai international', '4.5', '2.0', '6.5', 'entry to the 2004 chinese super league'], ['shanghai shenhua', '6.0', '1.0', '7.0', 'entry to the 2004... |
seattle supersonics all - time roster | https://en.wikipedia.org/wiki/Seattle_SuperSonics_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16772687-9.html.csv | unique | on the seattle supersonics all - time roster , of the players from the united states , the only one who went to college at idaho state wears jersey number 41 . | {'scope': 'subset', 'row': '9', 'col': '6', 'col_other': '2,3', 'criterion': 'equal', 'value': 'idaho state', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'united states'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nationality', 'united states'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; nationality ; united states }', 'tointer': 'select the rows whose nationality record fuzzily ma... | and { only { filter_eq { filter_eq { all_rows ; nationality ; united states } ; from ; idaho state } } ; eq { hop { filter_eq { filter_eq { all_rows ; nationality ; united states } ; from ; idaho state } ; jersey number ( s ) } ; 41 } } = true | select the rows whose nationality record fuzzily matches to united states . among these rows , select the rows whose from record fuzzily matches to idaho state . there is only one such row in the table . the jersey number ( s ) record of this unqiue row is 41 . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'nationality_8': 8, 'united states_9': 9, 'from_10': 10, 'idaho state_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'jersey number (s)_12': 12, '41_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'nationality_8': 'nationality', 'united states_9': 'united states', 'from_10': 'from', 'idaho state_11': 'idaho state', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', '... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_str_eq_1': [2, 3], 'filter_str_eq_0': [1], 'all_rows_7': [0], 'nationality_8': [0], 'united states_9': [0], 'from_10': [1], 'idaho state_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'jersey number (s)_12': [3], '41_13': [4]} | ['player', 'nationality', 'jersey number ( s )', 'position', 'years', 'from'] | [['al hairston', 'united states', '25', 'pg', '1968 - 1969', 'bowling green state'], ['lars hansen', 'denmark canada', '22', 'c', '1978 - 1979', 'washington'], ['bill hanzlik', 'united states', '22', 'sg / sf', '1980 - 1982', 'notre dame'], ['art harris', 'united states', '12', 'g', '1968 - 1969', 'stanford'], ['antoni... |
2008 - 09 tampa bay lightning season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Tampa_Bay_Lightning_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-17360840-9.html.csv | aggregation | in ' 08 - '09 season of tampa bay lightning , their games against toronto maple leafs got 38,002 total attendance . | {'scope': 'subset', 'col': '6', 'type': 'sum', 'result': '38,002', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'toronto maple leafs'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'toronto maple leafs'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; opponent ; toronto maple leafs }', 'tointer': 'select the rows whose opponent record fuzzily matches to toronto maple leafs... | round_eq { sum { filter_eq { all_rows ; opponent ; toronto maple leafs } ; attendance } ; 38,002 } = true | select the rows whose opponent record fuzzily matches to toronto maple leafs . the sum of the attendance record of these rows is 38,002 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'opponent_5': 5, 'toronto maple leafs_6': 6, 'attendance_7': 7, '38,002_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'opponent_5': 'opponent', 'toronto maple leafs_6': 'toronto maple leafs', 'attendance_7': 'attendance', '38,002_8': '38,002'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'opponent_5': [0], 'toronto maple leafs_6': [0], 'attendance_7': [1], '38,002_8': [2]} | ['game', 'date', 'opponent', 'score', 'location', 'attendance', 'record', 'points'] | [['63', 'march 1', 'calgary flames', '8 - 6', 'pengrowth saddledome', '19289', '21 - 30 - 12', '54'], ['64', 'march 3', 'pittsburgh penguins', '1 - 3', 'st pete times forum', '19908', '21 - 31 - 12', '54'], ['65', 'march 6', 'st louis blues', '3 - 4 ot', 'st pete times forum', '13831', '21 - 31 - 13', '55'], ['66', 'ma... |
easyjet | https://en.wikipedia.org/wiki/EasyJet | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-180466-4.html.csv | ordinal | the boeing 737 - 300 is the second oldest aircraft to be introduced by easyjet . | {'row': '5', 'col': '2', 'order': '2', 'col_other': '1', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'introduced', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; introduced ; 2 }'}, 'aircraft'], 'result': 'boeing 737 - 300', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; introduced ; 2 } ; aircraf... | eq { hop { nth_argmin { all_rows ; introduced ; 2 } ; aircraft } ; boeing 737 - 300 } = true | select the row whose introduced record of all rows is 2nd minimum . the aircraft record of this row is boeing 737 - 300 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'introduced_5': 5, '2_6': 6, 'aircraft_7': 7, 'boeing 737 - 300_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'introduced_5': 'introduced', '2_6': '2', 'aircraft_7': 'aircraft', 'boeing 737 - 300_8': 'boeing 737 - 300'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'introduced_5': [0], '2_6': [0], 'aircraft_7': [1], 'boeing 737 - 300_8': [2]} | ['aircraft', 'introduced', 'retired', 'seating', 'notes'] | [['airbus a319 - 100', '2004', '-', '156', 'in service'], ['airbus a320 - 200', '2008', '-', '180', 'in service'], ['airbus a321 - 200', '2008', '2010', '220', 'inherited from gb airways'], ['boeing 737 - 204', '1995', '1996', '115', 'replaced by 737 - 300s'], ['boeing 737 - 300', '1996', '2007', '148 / 9', 'replaced b... |
yanina wickmayer | https://en.wikipedia.org/wiki/Yanina_Wickmayer | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15100199-11.html.csv | unique | her only us open semi-final ( sf ) appearance was in 2009 . | {'scope': 'all', 'row': '4', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': 'sf', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', '2009', 'sf'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose 2009 record fuzzily matches to sf .', 'tostr': 'filter_eq { all_rows ; 2009 ; sf }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_r... | and { only { filter_eq { all_rows ; 2009 ; sf } } ; eq { hop { filter_eq { all_rows ; 2009 ; sf } ; tournament } ; us open } } = true | select the rows whose 2009 record fuzzily matches to sf . there is only one such row in the table . the tournament record of this unqiue row is us open . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, '2009_7': 7, 'sf_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'tournament_9': 9, 'us open_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', '2009_7': '2009', 'sf_8': 'sf', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'tournament_9': 'tournament', 'us open_10': 'us open'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], '2009_7': [0], 'sf_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'tournament_9': [2], 'us open_10': [3]} | ['tournament', '2006', '2007', '2008', '2009', '2010', '2011', '2012'] | [['australian open', 'a', 'a', 'q2', '1r', '4r', '2r', '1r'], ['french open', 'a', 'a', '1r', '2r', '3r', '3r', '1r'], ['wimbledon', 'a', 'a', '1r', '1r', '3r', '4r', '3r'], ['us open', 'a', 'a', '1r', 'sf', '4r', '2r', '2r'], ['win - loss', '0 - 0', '0 - 0', '0 - 3', '6 - 4', '10 - 4', '7 - 4', '3 - 4'], ['wta premier... |
list of prussian locomotives and railbuses | https://en.wikipedia.org/wiki/List_of_Prussian_locomotives_and_railbuses | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17951246-2.html.csv | superlative | according to the list of prussian locomotives and railbuses , p 2 class that has the least quantity was built in 1886 . | {'scope': 'subset', 'col_superlative': '3', 'row_superlative': '4', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '1,4', 'subset': {'col': '1', 'criterion': 'equal', 'value': 'p 2'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'class', 'p 2'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; class ; p 2 }', 'tointer': 'select the rows whose class record fuzzily matches to p 2 .'}, 'quantity'], 'result'... | eq { hop { argmin { filter_eq { all_rows ; class ; p 2 } ; quantity } ; year ( s ) built } ; 1886 } = true | select the rows whose class record fuzzily matches to p 2 . select the row whose quantity record of these rows is minimum . the year ( s ) built record of this row is 1886 . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'argmin_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'class_6': 6, 'p 2_7': 7, 'quantity_8': 8, 'year (s) built_9': 9, '1886_10': 10} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'argmin_1': 'argmin', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'class_6': 'class', 'p 2_7': 'p 2', 'quantity_8': 'quantity', 'year (s) built_9': 'year ( s ) built', '1886_10': '1886'} | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'argmin_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'class_6': [0], 'p 2_7': [0], 'quantity_8': [1], 'year (s) built_9': [2], '1886_10': [3]} | ['class', 'number range', 'quantity', 'year ( s ) built', 'type'] | [['p 1 ( de )', '1501 - 1550', '56', '1885 - 1891', '1 ′ b n2'], ['p 2', '1551 - 1600', '166', '1877 - 1884', '1b n2'], ['p 2', '1551 - 1600', '76', '1878 - 1883', '1b n2'], ['p 2', '1551 - 1600', '5', '1886', '2 ′ b n2'], ['p 3 ( de )', '1601 - 1700', '3', '1891', '2 ′ b n2v'], ['p 3 1 ( de )', '1601 - 1700', '685', '... |
1945 vfl season | https://en.wikipedia.org/wiki/1945_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10809271-20.html.csv | comparative | in the games of the 1945 vfl season shown south melbourne scored more points than north melbourne . | {'row_1': '3', 'row_2': '4', 'col': '2', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'home team', 'south melbourne'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose home team record fuzzily matches to south melbourne .', 'tostr': 'filter_eq { all_rows ; home team ; south melbourne }'}, ... | greater { hop { filter_eq { all_rows ; home team ; south melbourne } ; home team score } ; hop { filter_eq { all_rows ; home team ; north melbourne } ; home team score } } = true | select the rows whose home team record fuzzily matches to south melbourne . take the home team score record of this row . select the rows whose home team record fuzzily matches to north melbourne . take the home team score record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'home team_7': 7, 'south melbourne_8': 8, 'home team score_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'home team_11': 11, 'north melbourne_12': 12, 'home team score_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'home team_7': 'home team', 'south melbourne_8': 'south melbourne', 'home team score_9': 'home team score', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_r... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'home team_7': [0], 'south melbourne_8': [0], 'home team score_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'home team_11': [1], 'north melbourne_12': [1], 'home team score_13': [3]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['geelong', '13.14 ( 92 )', 'st kilda', '9.11 ( 65 )', 'kardinia park', '7500', '1 september 1945'], ['fitzroy', '14.22 ( 106 )', 'melbourne', '15.11 ( 101 )', 'brunswick street oval', '5000', '1 september 1945'], ['south melbourne', '16.16 ( 112 )', 'hawthorn', '11.10 ( 76 )', 'junction oval', '12000', '1 september 1... |
1969 world judo championships | https://en.wikipedia.org/wiki/1969_World_Judo_Championships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15807914-2.html.csv | count | in the 1969 world judo championships , for nations that won 0 gold medals , two also won 0 silver medals . | {'scope': 'subset', 'criterion': 'equal', 'value': '0', 'result': '2', 'col': '4', 'subset': {'col': '3', 'criterion': 'equal', 'value': '0'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'gold', '0'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; gold ; 0 }', 'tointer': 'select the rows whose gold record is equal to 0 .'}, 'silver', '0'], 'result': None, 'ind': 1, 't... | eq { count { filter_eq { filter_eq { all_rows ; gold ; 0 } ; silver ; 0 } } ; 2 } = true | select the rows whose gold record is equal to 0 . among these rows , select the rows whose silver record is equal to 0 . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_eq_1': 1, 'filter_eq_0': 0, 'all_rows_5': 5, 'gold_6': 6, '0_7': 7, 'silver_8': 8, '0_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_eq_1': 'filter_eq', 'filter_eq_0': 'filter_eq', 'all_rows_5': 'all_rows', 'gold_6': 'gold', '0_7': '0', 'silver_8': 'silver', '0_9': '0', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_eq_1': [2], 'filter_eq_0': [1], 'all_rows_5': [0], 'gold_6': [0], '0_7': [0], 'silver_8': [1], '0_9': [1], '2_10': [3]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'japan', '6', '3', '3', '12'], ['2', 'germany', '0', '2', '0', '2'], ['3', 'netherlands', '0', '1', '2', '3'], ['4', 'soviet union', '0', '0', '4', '4'], ['5', 'south korea', '0', '0', '3', '3']] |
atlanta falcons draft history | https://en.wikipedia.org/wiki/Atlanta_Falcons_draft_history | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15198842-20.html.csv | ordinal | reggie pleasant was the fourth highest overall player drafted by the atlanta falcons . | {'row': '4', 'col': '3', 'order': '4', 'col_other': '4', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'overall', '4'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; overall ; 4 }'}, 'name'], 'result': 'reggie pleasant', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; overall ; 4 } ; name }'}, 'reggie ple... | eq { hop { nth_argmin { all_rows ; overall ; 4 } ; name } ; reggie pleasant } = true | select the row whose overall record of all rows is 4th minimum . the name record of this row is reggie pleasant . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'overall_5': 5, '4_6': 6, 'name_7': 7, 'reggie pleasant_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmin_0': 'nth_argmin', 'all_rows_4': 'all_rows', 'overall_5': 'overall', '4_6': '4', 'name_7': 'name', 'reggie pleasant_8': 'reggie pleasant'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'overall_5': [0], '4_6': [0], 'name_7': [1], 'reggie pleasant_8': [2]} | ['round', 'pick', 'overall', 'name', 'position', 'college'] | [['1', '2', '2', 'bill fralic', 'guard', 'pittsburgh'], ['2', '17', '45', 'mike gann', 'defensive end', 'notre dame'], ['4', '5', '89', 'emile harry', 'wide receiver', 'stanford'], ['6', '12', '152', 'reggie pleasant', 'defensive back', 'clemson'], ['8', '5', '201', 'ashley lee', 'defensive back', 'virginia tech'], ['8... |
1953 masters tournament | https://en.wikipedia.org/wiki/1953_Masters_Tournament | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13073611-2.html.csv | unique | ben hogan was the only player to achieve 5 under par . | {'scope': 'all', 'row': '1', 'col': '5', 'col_other': '2', 'criterion': 'equal', 'value': '-5', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'to par', '-5'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose to par record is equal to -5 .', 'tostr': 'filter_eq { all_rows ; to par ; -5 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ;... | and { only { filter_eq { all_rows ; to par ; -5 } } ; eq { hop { filter_eq { all_rows ; to par ; -5 } ; player } ; ben hogan } } = true | select the rows whose to par record is equal to -5 . there is only one such row in the table . the player record of this unqiue row is ben hogan . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'to par_7': 7, '-5_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'ben hogan_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'to par_7': 'to par', '-5_8': '-5', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'ben hogan_10': 'ben hogan'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'to par_7': [0], '-5_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'ben hogan_10': [3]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'ben hogan', 'united states', '70 + 69 = 139', '- 5'], ['2', 'bob hamilton', 'united states', '71 + 69 = 140', '- 4'], ['t3', 'chick harbert', 'united states', '68 + 73 = 141', '- 3'], ['t3', 'ted kroll', 'united states', '71 + 70 = 141', '- 3'], ['t5', 'lloyd mangrum', 'united states', '74 + 68 = 142', '- 2'], ... |
list of tallest buildings in houston | https://en.wikipedia.org/wiki/List_of_tallest_buildings_in_Houston | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11530524-3.html.csv | count | 10 buildings are listed as being the tallest in houston city . | {'scope': 'all', 'criterion': 'all', 'value': 'n/a', 'result': '10', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_all', 'args': ['all_rows', 'name'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose name record is arbitrary .', 'tostr': 'filter_all { all_rows ; name }'}], 'result': '10', 'ind': 1, 'tostr': 'count { filter_all { all_rows ; name } }', 'to... | eq { count { filter_all { all_rows ; name } } ; 10 } = true | select the rows whose name record is arbitrary . the number of such rows is 10 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_all_0': 0, 'all_rows_4': 4, 'name_5': 5, '10_6': 6} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_all_0': 'filter_all', 'all_rows_4': 'all_rows', 'name_5': 'name', '10_6': '10'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_all_0': [1], 'all_rows_4': [0], 'name_5': [0], '10_6': [2]} | ['name', 'street address', 'years as tallest', 'height ft / m', 'floors'] | [['lomas & nettleton building', '201 main street', '1904 - 1908', 'n / a', '8'], ['711 main', '711 main street', '1908 - 1910', '134 / 41', '10'], ['806 main', '806 main street', '1910 - 1926', '302 / 92', '23'], ['magnolia hotel', '1100 texas avenue', '1926 - 1927', '325 / 99', '22'], ['niels esperson building', '808 ... |
equestrian at the 1980 summer olympics | https://en.wikipedia.org/wiki/Equestrian_at_the_1980_Summer_Olympics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1461487-1.html.csv | superlative | for the 1980 summer olympics the soviet union was the clear winner at the games for equestrian events with 8 total medal 3 each being gold and silver . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '1', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': '2,3,4', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'total'], 'result': '8', 'ind': 0, 'tostr': 'max { all_rows ; total }', 'tointer': 'the maximum total record of all rows is 8 .'}, '8'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows ; total } ; 8 }', 'tointer': 'the maximum... | and { eq { max { all_rows ; total } ; 8 } ; and { eq { hop { argmax { all_rows ; total } ; nation } ; soviet union ( urs ) } ; and { eq { hop { argmax { all_rows ; total } ; gold } ; 3 } ; eq { hop { argmax { all_rows ; total } ; silver } ; 3 } } } } = true | the maximum total record of all rows is 8 . the nation record of the row with superlative total record is soviet union ( urs ) . the gold record of the row with superlative total record is 3 . the silver record of the row with superlative total record is 3 . | 14 | 12 | {'and_11': 11, 'result_12': 12, 'eq_1': 1, 'max_0': 0, 'all_rows_13': 13, 'total_14': 14, '8_15': 15, 'and_10': 10, 'str_eq_4': 4, 'str_hop_3': 3, 'argmax_2': 2, 'all_rows_16': 16, 'total_17': 17, 'nation_18': 18, 'soviet union (urs)_19': 19, 'and_9': 9, 'eq_6': 6, 'num_hop_5': 5, 'gold_20': 20, '3_21': 21, 'eq_8': 8, ... | {'and_11': 'and', 'result_12': 'true', 'eq_1': 'eq', 'max_0': 'max', 'all_rows_13': 'all_rows', 'total_14': 'total', '8_15': '8', 'and_10': 'and', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'argmax_2': 'argmax', 'all_rows_16': 'all_rows', 'total_17': 'total', 'nation_18': 'nation', 'soviet union (urs)_19': 'soviet u... | {'and_11': [12], 'result_12': [], 'eq_1': [11], 'max_0': [1], 'all_rows_13': [0], 'total_14': [0], '8_15': [1], 'and_10': [11], 'str_eq_4': [10], 'str_hop_3': [4], 'argmax_2': [3, 5, 7], 'all_rows_16': [2], 'total_17': [2], 'nation_18': [3], 'soviet union (urs)_19': [4], 'and_9': [10], 'eq_6': [9], 'num_hop_5': [6], 'g... | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'soviet union ( urs )', '3', '3', '2', '8'], ['2', 'italy ( ita )', '1', '1', '0', '2'], ['2', 'poland ( pol )', '1', '1', '0', '2'], ['4', 'austria ( aut )', '1', '0', '0', '1'], ['5', 'bulgaria ( bul )', '0', '1', '0', '1'], ['6', 'mexico ( mex )', '0', '0', '3', '3'], ['7', 'romania ( rou )', '0', '0', '1', '... |
2010 - 11 rugby - bundesliga | https://en.wikipedia.org/wiki/2010%E2%80%9311_Rugby-Bundesliga | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-30153446-1.html.csv | majority | the majority of the teams won less than 10 games in this league in the year 2010-2011 . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '10', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'won', '10'], 'result': True, 'ind': 0, 'tointer': 'for the won records of all rows , most of them are less than 10 .', 'tostr': 'most_less { all_rows ; won ; 10 } = true'} | most_less { all_rows ; won ; 10 } = true | for the won records of all rows , most of them are less than 10 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'won_3': 3, '10_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'won_3': 'won', '10_4': '10'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'won_3': [0], '10_4': [0]} | ['', 'club', 'played', 'won', 'drawn', 'lost', 'points for', 'points against', 'difference', 'bonus points', 'points'] | [['1', 'heidelberger rk', '16', '15', '0', '1', '924', '120', '804', '15', '75'], ['2', 'sc 1880 frankfurt', '16', '14', '0', '2', '849', '237', '612', '12', '68'], ['3', 'tsv handschuhsheim', '16', '11', '0', '5', '468', '439', '29', '9', '53'], ['4', 'rg heidelberg', '16', '9', '0', '7', '512', '264', '248', '8', '44... |
1940 vfl season | https://en.wikipedia.org/wiki/1940_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10807253-5.html.csv | majority | all games of the 1940 vfl season were played on the 25th of may . | {'scope': 'all', 'col': '7', 'most_or_all': 'all', 'criterion': 'equal', 'value': '25 may 1940', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'date', '25 may 1940'], 'result': True, 'ind': 0, 'tointer': 'for the date records of all rows , all of them fuzzily match to 25 may 1940 .', 'tostr': 'all_eq { all_rows ; date ; 25 may 1940 } = true'} | all_eq { all_rows ; date ; 25 may 1940 } = true | for the date records of all rows , all of them fuzzily match to 25 may 1940 . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date_3': 3, '25 may 1940_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date_3': 'date', '25 may 1940_4': '25 may 1940'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'date_3': [0], '25 may 1940_4': [0]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['geelong', '12.21 ( 93 )', 'south melbourne', '10.12 ( 72 )', 'corio oval', '5000', '25 may 1940'], ['fitzroy', '8.14 ( 62 )', 'richmond', '12.11 ( 83 )', 'brunswick street oval', '14000', '25 may 1940'], ['essendon', '12.18 ( 90 )', 'hawthorn', '9.19 ( 73 )', 'windy hill', '12000', '25 may 1940'], ['north melbourne'... |
weightlifting at the 1999 pan american games | https://en.wikipedia.org/wiki/Weightlifting_at_the_1999_Pan_American_Games | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11279593-14.html.csv | unique | nelly rivera was the only one at the 1999 pan american games who had a bodyweight of 69.73 . | {'scope': 'all', 'row': '7', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': '69.73', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'bodyweight', '69.73'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose bodyweight record is equal to 69.73 .', 'tostr': 'filter_eq { all_rows ; bodyweight ; 69.73 }'}], 'result': True, 'ind': 1, 'tostr': 'only { f... | and { only { filter_eq { all_rows ; bodyweight ; 69.73 } } ; eq { hop { filter_eq { all_rows ; bodyweight ; 69.73 } ; name } ; nelly rivera ( dom ) } } = true | select the rows whose bodyweight record is equal to 69.73 . there is only one such row in the table . the name record of this unqiue row is nelly rivera ( dom ) . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'bodyweight_7': 7, '69.73_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'nelly rivera ( dom )_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'bodyweight_7': 'bodyweight', '69.73_8': '69.73', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'nelly rivera ( dom )_10': 'nelly rivera ( dom )'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'bodyweight_7': [0], '69.73_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'nelly rivera ( dom )_10': [3]} | ['name', 'bodyweight', 'snatch', 'clean & jerk', 'total ( kg )'] | [['wanda rijo ( dom )', '73.68', '100.0', '120.0', '220.0'], ['cara heads ( usa )', '73.26', '97.5', '120.0', '217.5'], ['jean lassen ( can )', '73.73', '92.5', '117.5', '210.0'], ['theresa brick ( can )', '74.80', '95.0', '115.0', '210.0'], ['mayra martínez ( ven )', '73.60', '87.5', '112.5', '200.0'], ['maría ruiz ob... |
religion in eritrea | https://en.wikipedia.org/wiki/Religion_in_Eritrea | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16806446-2.html.csv | unique | kunama is the only ethnic group where 41 % of the people are christians . | {'scope': 'all', 'row': '4', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': '41 %', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'christians', '41 %'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose christians record fuzzily matches to 41 % .', 'tostr': 'filter_eq { all_rows ; christians ; 41 % }'}], 'result': True, 'ind': 1, 'tostr': '... | and { only { filter_eq { all_rows ; christians ; 41 % } } ; eq { hop { filter_eq { all_rows ; christians ; 41 % } ; ethnic group } ; kunama } } = true | select the rows whose christians record fuzzily matches to 41 % . there is only one such row in the table . the ethnic group record of this unqiue row is kunama . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'christians_7': 7, '41%_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'ethnic group_9': 9, 'kunama_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'christians_7': 'christians', '41%_8': '41 %', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'ethnic group_9': 'ethnic group', 'kunama_10': 'kunama'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'christians_7': [0], '41%_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'ethnic group_9': [2], 'kunama_10': [3]} | ['ethnic group', 'main regions', 'population', 'percentage of total population', 'christians', 'muslims', 'other'] | [['tigrigna', 'maekel region , debub region', '3319680', '57 %', '53 %', '44 %', '1 %'], ['tigre', 'gash - barka region , anseba region , maekel region', '1630720', '28 %', '6 %', '90 %', '4 %'], ['saho', 'northern red sea region , debub region', '232960', '4 %', '7 %', '93 %', 'n / a'], ['kunama', 'gash - barka region... |
llanberis lake railway | https://en.wikipedia.org/wiki/Llanberis_Lake_Railway | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1281645-1.html.csv | count | four of the llanberis lake railway locomotives were built by hunslet . | {'scope': 'all', 'criterion': 'equal', 'value': 'hunslet', 'result': '4', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'builder', 'hunslet'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose builder record fuzzily matches to hunslet .', 'tostr': 'filter_eq { all_rows ; builder ; hunslet }'}], 'result': '4', 'ind': 1, 'tostr': 'c... | eq { count { filter_eq { all_rows ; builder ; hunslet } } ; 4 } = true | select the rows whose builder record fuzzily matches to hunslet . the number of such rows is 4 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'builder_5': 5, 'hunslet_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'builder_5': 'builder', 'hunslet_6': 'hunslet', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'builder_5': [0], 'hunslet_6': [0], '4_7': [2]} | ['number', 'name', 'builder', 'type', 'works number', 'date'] | [['1', 'elidir', 'hunslet', '0 - 4 - 0 st', '493', '1889'], ['2', 'thomas bach', 'hunslet', '0 - 4 - 0 st', '894', '1904'], ['3', 'dolbadarn', 'hunslet', '0 - 4 - 0 st', '1430', '1922'], ['3', 'maid marian', 'hunslet', '0 - 4 - 0 st', '822', '1903'], ['7', 'topsy', 'ruston hornsby', '4wdm', '441427', '1961'], ['8', 'tw... |
1970 isle of man tt | https://en.wikipedia.org/wiki/1970_Isle_of_Man_TT | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10301911-1.html.csv | majority | most of the riders had speeds that were over 90 miles per hour . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '90', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'speed', '90'], 'result': True, 'ind': 0, 'tointer': 'for the speed records of all rows , most of them are greater than 90 .', 'tostr': 'most_greater { all_rows ; speed ; 90 } = true'} | most_greater { all_rows ; speed ; 90 } = true | for the speed records of all rows , most of them are greater than 90 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'speed_3': 3, '90_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'speed_3': 'speed', '90_4': '90'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'speed_3': [0], '90_4': [0]} | ['rank', 'rider', 'team', 'speed', 'time'] | [['1', 'malcolm uphill', 'triumph', '97.71 mph', '1:55.51.4'], ['2', 'peter williams', 'norton', '97.69 mph', '1:55.52.6'], ['3', 'ray pickrell', 'norton', '95.86 mph', '1:58.05.2'], ['4', 'tom dickie', 'triumph', '94.14 mph', '2:00.15.0'], ['5', 'bob heath', 'bsa', '94.09 mph', '2:00.19.0'], ['6', 'hans - otto butenut... |
somerset county cricket club in 2009 | https://en.wikipedia.org/wiki/Somerset_County_Cricket_Club_in_2009 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27922491-8.html.csv | aggregation | the members of the somerset county cricket club in 2009 played in 84 matches . | {'scope': 'all', 'col': '2', 'type': 'sum', 'result': '84', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'matches'], 'result': '84', 'ind': 0, 'tostr': 'sum { all_rows ; matches }'}, '84'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; matches } ; 84 } = true', 'tointer': 'the sum of the matches record of all rows is 84 .'} | round_eq { sum { all_rows ; matches } ; 84 } = true | the sum of the matches record of all rows is 84 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'matches_4': 4, '84_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'matches_4': 'matches', '84_5': '84'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'matches_4': [0], '84_5': [1]} | ['player', 'matches', 'innings', 'wickets', 'average', 'bbi', 'bbm', '5wi'] | [['charl willoughby', '16', '26', '54', '30.03', '5 / 56', '7 / 170', '3'], ['david stiff', '10', '18', '31', '36.12', '5 / 91', '5 / 93', '1'], ['alfonso thomas', '14', '22', '35', '37.62', '5 / 53', '8 / 152', '1'], ['ben phillips', '7', '11', '12', '38.00', '4 / 46', '4 / 73', '0'], ['arul suppiah', '16', '19', '15'... |
lancashire county council election , 2009 | https://en.wikipedia.org/wiki/Lancashire_County_Council_election%2C_2009 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18992950-1.html.csv | count | in the lancashire county council election in 2009 , there were two parties that had 4 votes in west lancashire . | {'scope': 'all', 'criterion': 'equal', 'value': '4', 'result': '2', 'col': '12', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'west lancashire', '4'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose west lancashire record is equal to 4 .', 'tostr': 'filter_eq { all_rows ; west lancashire ; 4 }'}], 'result': '2', 'ind': 1, 'tostr': 'count ... | eq { count { filter_eq { all_rows ; west lancashire ; 4 } } ; 2 } = true | select the rows whose west lancashire record is equal to 4 . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'west lancashire_5': 5, '4_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'west lancashire_5': 'west lancashire', '4_6': '4', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'west lancashire_5': [0], '4_6': [0], '2_7': [2]} | ['party', 'burnley', 'chorley', 'fylde', 'hyndburn', 'lancaster', 'pendle', 'preston', 'ribble valley', 'rossendale', 'south ribble', 'west lancashire', 'wyre', 'total'] | [['labour', '6', '4', '0', '6', '6', '1', '6', '0', '3', '5', '4', '3', '44'], ['conservative', '0', '3', '5', '0', '3', '2', '3', '3', '2', '1', '4', '5', '31'], ['liberal democrat', '0', '0', '0', '0', '0', '3', '1', '1', '0', '1', '0', '0', '6'], ['green', '0', '0', '0', '0', '1', '0', '0', '0', '0', '0', '0', '0', ... |
pete sampras career statistics | https://en.wikipedia.org/wiki/Pete_Sampras_career_statistics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-22834834-3.html.csv | count | five of the masters series finals singles matches pete sampras competed in were on a carpeted surface . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'carpet', 'result': '5', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'surface', 'carpet'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose surface record fuzzily matches to carpet .', 'tostr': 'filter_eq { all_rows ; surface ; carpet }'}], 'result': '5', 'ind': 1, 'tostr': 'coun... | eq { count { filter_eq { all_rows ; surface ; carpet } } ; 5 } = true | select the rows whose surface record fuzzily matches to carpet . the number of such rows is 5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'surface_5': 5, 'carpet_6': 6, '5_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'surface_5': 'surface', 'carpet_6': 'carpet', '5_7': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'surface_5': [0], 'carpet_6': [0], '5_7': [2]} | ['outcome', 'year', 'championship', 'surface', 'opponent in the final', 'score in the final'] | [['runner - up', '1991', 'cincinnati', 'hard', 'guy forget', '6 - 2 , 6 - 7 ( 4 - 7 ) , 4 - 6'], ['runner - up', '1991', 'paris', 'carpet ( i )', 'guy forget', '6 - 7 ( 9 - 11 ) , 6 - 4 , 7 - 5 , 4 - 6 , 4 - 6'], ['winner', '1992', 'cincinnati', 'hard', 'ivan lendl', '6 - 3 , 3 - 6 , 6 - 3'], ['winner', '1993', 'miami'... |
tasmania cricket team first - class records | https://en.wikipedia.org/wiki/Tasmania_cricket_team_first-class_records | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14412861-10.html.csv | ordinal | dene hills has the 2nd highest number of runs in the tasmania cricket team first - class records . | {'row': '2', 'col': '2', 'order': '2', 'col_other': '3', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'runs', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; runs ; 2 }'}, 'player'], 'result': 'dene hills', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; runs ; 2 } ; player }'}, 'dene hills'], 'resul... | eq { hop { nth_argmax { all_rows ; runs ; 2 } ; player } ; dene hills } = true | select the row whose runs record of all rows is 2nd maximum . the player record of this row is dene hills . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'runs_5': 5, '2_6': 6, 'player_7': 7, 'dene hills_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'runs_5': 'runs', '2_6': '2', 'player_7': 'player', 'dene hills_8': 'dene hills'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'runs_5': [0], '2_6': [0], 'player_7': [1], 'dene hills_8': [2]} | ['rank', 'runs', 'player', 'opponent', 'venue', 'season'] | [['1', '274', 'jack badcock', 'victoria', 'ntca ground , launceston', '1933 - 34'], ['2', '265', 'dene hills', 'south australia', 'bellerive oval , hobart', '1997 - 98'], ['3', '245', 'jamie cox', 'new south wales', 'bellerive oval , hobart', '1999 - 2000'], ['4', '233', 'ricky ponting', 'queensland', 'albion', '2000 -... |
1956 formula one season | https://en.wikipedia.org/wiki/1956_Formula_One_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1140112-5.html.csv | unique | the i brscc formula 1 race is the only race won by archie scott brown in the 1956 formula one season . | {'scope': 'all', 'row': '11', 'col': '4', 'col_other': '1', 'criterion': 'equal', 'value': 'archie scott brown', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'winning driver', 'archie scott brown'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose winning driver record fuzzily matches to archie scott brown .', 'tostr': 'filter_eq { all_rows ; winning driver ; archie ... | and { only { filter_eq { all_rows ; winning driver ; archie scott brown } } ; eq { hop { filter_eq { all_rows ; winning driver ; archie scott brown } ; race name } ; i brscc formula 1 race } } = true | select the rows whose winning driver record fuzzily matches to archie scott brown . there is only one such row in the table . the race name record of this unqiue row is i brscc formula 1 race . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'winning driver_7': 7, 'archie scott brown_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'race name_9': 9, 'i brscc formula 1 race_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'winning driver_7': 'winning driver', 'archie scott brown_8': 'archie scott brown', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'race name_9': 'race name', 'i brscc formula 1 race_10': 'i brscc formula... | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'winning driver_7': [0], 'archie scott brown_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'race name_9': [2], 'i brscc formula 1 race_10': [3]} | ['race name', 'circuit', 'date', 'winning driver', 'constructor', 'report'] | [['x gran premio ciudad de buenos aires', 'mendoza', '5 february', 'juan manuel fangio', 'lancia - ferrari', 'report'], ['iv glover trophy', 'goodwood', '2 april', 'stirling moss', 'maserati', 'report'], ['vi gran premio di siracusa', 'syracuse', '15 april', 'juan manuel fangio', 'lancia - ferrari', 'report'], ['xi bar... |
2007 volta a catalunya | https://en.wikipedia.org/wiki/2007_Volta_a_Catalunya | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11355733-20.html.csv | majority | víctor hugo peña won the sprints classification in the majority of stages at the 2007 volta a catalunya where relax - gam won the team classification . | {'scope': 'subset', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'víctor hugo peña', 'subset': {'col': '6', 'criterion': 'equal', 'value': 'relax - gam'}} | {'func': 'most_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team classification', 'relax - gam'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; team classification ; relax - gam }', 'tointer': 'select the rows whose team classification record fuzzily matches to relax - gam .'}, 'sprint... | most_eq { filter_eq { all_rows ; team classification ; relax - gam } ; sprints classification ; víctor hugo peña } = true | select the rows whose team classification record fuzzily matches to relax - gam . for the sprints classification records of these rows , most of them fuzzily match to víctor hugo peña . | 2 | 2 | {'most_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'team classification_4': 4, 'relax - gam_5': 5, 'sprints classification_6': 6, 'víctor hugo peña_7': 7} | {'most_str_eq_1': 'most_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'team classification_4': 'team classification', 'relax - gam_5': 'relax - gam', 'sprints classification_6': 'sprints classification', 'víctor hugo peña_7': 'víctor hugo peña'} | {'most_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'team classification_4': [0], 'relax - gam_5': [0], 'sprints classification_6': [1], 'víctor hugo peña_7': [1]} | ['stage ( winner )', 'general classification', 'mountains classification', 'points classification', 'sprints classification', 'team classification'] | [["0 stage 1 ( ttt ) ( caisse d'epargne )", 'vladimir karpets', 'no award', 'no award', 'no award', "caisse d'epargne"], ['0 stage 2 ( mark cavendish )', 'imanol erviti', 'francisco josé martinez', 'mark cavendish', 'víctor hugo peña', "caisse d'epargne"], ['0 stage 3 ( allan davis )', 'imanol erviti', 'francisco josé ... |
2004 - 05 greek cup | https://en.wikipedia.org/wiki/2004%E2%80%9305_Greek_Cup | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-19130829-4.html.csv | comparative | kastoria did better than illsiakos in the 2004-05 greek cup . | {'row_1': '2', 'row_2': '5', 'col': '2', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team 1', 'kastoria'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team 1 record fuzzily matches to kastoria .', 'tostr': 'filter_eq { all_rows ; team 1 ; kastoria }'}, 'agg score'], 'result': None, ... | greater { hop { filter_eq { all_rows ; team 1 ; kastoria } ; agg score } ; hop { filter_eq { all_rows ; team 1 ; ilisiakos } ; agg score } } = true | select the rows whose team 1 record fuzzily matches to kastoria . take the agg score record of this row . select the rows whose team 1 record fuzzily matches to ilisiakos . take the agg score record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'team 1_7': 7, 'kastoria_8': 8, 'agg score_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'team 1_11': 11, 'ilisiakos_12': 12, 'agg score_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'team 1_7': 'team 1', 'kastoria_8': 'kastoria', 'agg score_9': 'agg score', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'team 1_11': 'team 1', 'il... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'team 1_7': [0], 'kastoria_8': [0], 'agg score_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'team 1_11': [1], 'ilisiakos_12': [1], 'agg score_13': [3]} | ['team 1', 'agg score', 'team 2', '1st leg', '2nd leg'] | [['iraklis', '1 - 2', 'olympiacos', '1 - 0', '0 - 2'], ['kastoria', '4 - 2', 'ptolemaida - lignitorikhi', '2 - 0', '2 - 3'], ['aris', '4 - 2', 'ethnikos', '2 - 1', '2 - 1'], ['skoda xanthi', '1 - 0', 'egaleo', '1 - 0', '0 - 0'], ['ilisiakos', '0 - 2', 'panionios', '0 - 1', '0 - 1'], ['larissa', '3 - 2', 'chalkidon near... |
houston rockets all - time roster | https://en.wikipedia.org/wiki/Houston_Rockets_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11734041-15.html.csv | superlative | curtis perry is the first player that joined the houston rockets . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '4', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'years for rockets'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; years for rockets }'}, 'player'], 'result': 'perry , curtis curtis perry', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; years for rockets } ; pl... | eq { hop { argmin { all_rows ; years for rockets } ; player } ; perry , curtis curtis perry } = true | select the row whose years for rockets record of all rows is minimum . the player record of this row is perry , curtis curtis perry . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'years for rockets_5': 5, 'player_6': 6, 'perry , curtis curtis perry_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'years for rockets_5': 'years for rockets', 'player_6': 'player', 'perry , curtis curtis perry_7': 'perry , curtis curtis perry'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'years for rockets_5': [0], 'player_6': [1], 'perry , curtis curtis perry_7': [2]} | ['player', 'no ( s )', 'height in ft', 'position', 'years for rockets', 'school / club team / country'] | [['padgett , scott scott padgett', '35', '6 - 9', 'forward', '2003 - 05 , 2006 - 07', 'kentucky'], ['patterson , patrick patrick patterson', '54', '6 - 9', 'forward', '2010 - 2013', 'kentucky'], ['paultz , billy billy paultz', '5', '6 - 11', 'center', '1979 - 83', "st john 's"], ['perry , curtis curtis perry', '54', '6... |
płock governorate | https://en.wikipedia.org/wiki/P%C5%82ock_Governorate | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12333984-1.html.csv | superlative | polish is the most spoken language in the plock governorate . | {'scope': 'all', 'col_superlative': '2', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'number'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; number }'}, 'language'], 'result': 'polish', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; number } ; language }'}, 'polish'], 'result': True, 'ind': 2, 'to... | eq { hop { argmax { all_rows ; number } ; language } ; polish } = true | select the row whose number record of all rows is maximum . the language record of this row is polish . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'number_5': 5, 'language_6': 6, 'polish_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'number_5': 'number', 'language_6': 'language', 'polish_7': 'polish'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'number_5': [0], 'language_6': [1], 'polish_7': [2]} | ['language', 'number', 'percentage ( % )', 'males', 'females'] | [['polish', '447 685', '80.86', '216 794', '230 891'], ['yiddish', '51 215', '9.25', '24 538', '26 677'], ['german', '35 931', '6.49', '17 409', '18 522'], ['russian', '15 137', '2.73', '13 551', '1 586'], ['ukrainian', '2 350', '0.42', '2 302', '48'], ['other', '1 285', '0.23', '1 041', '244'], ["persons that did n't ... |
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