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carlos andino | https://en.wikipedia.org/wiki/Carlos_Andino | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16055831-2.html.csv | aggregation | carlos andino 's vale tudo fights lasted a combined total of 8 rounds . | {'scope': 'all', 'col': '6', 'type': 'sum', 'result': '8', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'round'], 'result': '8', 'ind': 0, 'tostr': 'sum { all_rows ; round }'}, '8'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; round } ; 8 } = true', 'tointer': 'the sum of the round record of all rows is 8 .'} | round_eq { sum { all_rows ; round } ; 8 } = true | the sum of the round record of all rows is 8 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'round_4': 4, '8_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'round_4': 'round', '8_5': '8'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'round_4': [0], '8_5': [1]} | ['result', 'record', 'opponent', 'method', 'date', 'round', 'location', 'notes'] | [['win', '1 - 0 - 0', 'joa mendes', 'knockout ( strikes )', '1995', '1', 'itapeua , brazil', 'vale tudo'], ['win', '2 - 0 - 0', 'larry reynolds', 'knockout ( strikes )', '1995', '1', 'itapeua , brazil', 'vale tudo'], ['win', '3 - 0 - 0', 'héctor rodríguez', 'knockout ( strikes )', '1995', '1', 'itapeua , brazil', 'vale... |
george mason patriots men 's basketball | https://en.wikipedia.org/wiki/George_Mason_Patriots_men%27s_basketball | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12661367-1.html.csv | ordinal | kenny sanders , a george mason patriots men 's basketball player , has scored the second-highest amount of points in the school 's history . | {'row': '2', 'col': '6', 'order': '2', 'col_other': '2', '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', 'total points', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; total points ; 2 }'}, 'player'], 'result': 'kenny sanders', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; total points ; 2 } ; player... | eq { hop { nth_argmax { all_rows ; total points ; 2 } ; player } ; kenny sanders } = true | select the row whose total points record of all rows is 2nd maximum . the player record of this row is kenny sanders . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'total points_5': 5, '2_6': 6, 'player_7': 7, 'kenny sanders_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', 'total points_5': 'total points', '2_6': '2', 'player_7': 'player', 'kenny sanders_8': 'kenny sanders'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'total points_5': [0], '2_6': [0], 'player_7': [1], 'kenny sanders_8': [2]} | ['rank', 'player', 'years', 'games', 'ppg avg', 'total points'] | [['1', 'carlos yates', '1981 - 1985', '109', '22.2', '2420'], ['2', 'kenny sanders', '1985 - 1989', '107', '20.3', '2177'], ['3', 'george evans', '1997 - 2001', '116', '16.8', '1953'], ['4', 'robert dykes', '1987 - 1991', '122', '13.4', '1642'], ['5', 'ryan pearson', '2008 - 2012', '129', '12.6', '1626'], ['6', 'andre ... |
nick watney | https://en.wikipedia.org/wiki/Nick_Watney | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10856203-5.html.csv | count | the masters tournament and the pga championship were the only two tournaments that nick watney made the top ten in . | {'scope': 'all', 'criterion': 'equal', 'value': '1', 'result': '2', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'top - 10', '1'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose top - 10 record is equal to 1 .', 'tostr': 'filter_eq { all_rows ; top - 10 ; 1 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_row... | eq { count { filter_eq { all_rows ; top - 10 ; 1 } } ; 2 } = true | select the rows whose top - 10 record is equal to 1 . 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, 'top - 10_5': 5, '1_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'top - 10_5': 'top - 10', '1_6': '1', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'top - 10_5': [0], '1_6': [0], '2_7': [2]} | ['tournament', 'wins', 'top - 10', 'top - 25', 'events', 'cuts made'] | [['masters tournament', '0', '1', '4', '6', '6'], ['us open', '0', '0', '1', '7', '3'], ['the open championship', '0', '1', '2', '6', '4'], ['pga championship', '0', '0', '2', '6', '2'], ['totals', '0', '2', '9', '25', '15']] |
utah jazz all - time roster | https://en.wikipedia.org/wiki/Utah_Jazz_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11545282-3.html.csv | comparative | jarron collins played for the jazz for longer than dell curry did . | {'row_1': '9', 'row_2': '18', 'col': '4', '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', 'player', 'jarron collins'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record fuzzily matches to jarron collins .', 'tostr': 'filter_eq { all_rows ; player ; jarron collins }'}, 'years for j... | greater { hop { filter_eq { all_rows ; player ; jarron collins } ; years for jazz } ; hop { filter_eq { all_rows ; player ; dell curry } ; years for jazz } } = true | select the rows whose player record fuzzily matches to jarron collins . take the years for jazz record of this row . select the rows whose player record fuzzily matches to dell curry . take the years for jazz 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, 'player_7': 7, 'jarron collins_8': 8, 'years for jazz_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'player_11': 11, 'dell curry_12': 12, 'years for jazz_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', 'player_7': 'player', 'jarron collins_8': 'jarron collins', 'years for jazz_9': 'years for jazz', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'pla... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'player_7': [0], 'jarron collins_8': [0], 'years for jazz_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'player_11': [1], 'dell curry_12': [1], 'years for jazz_13': [3]} | ['player', 'nationality', 'position', 'years for jazz', 'school / club team'] | [['mack calvin', 'united states', 'guard', '1979 - 80', 'usc'], ['antoine carr', 'united states', 'forward - center', '1994 - 98', 'wichita state'], ['bobby cattage', 'united states', 'forward', '1981 - 82', 'auburn'], ['tom chambers', 'united states', 'forward', '1993 - 95', 'utah'], ['calbert cheaney', 'united states... |
1969 los angeles dodgers season | https://en.wikipedia.org/wiki/1969_Los_Angeles_Dodgers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12901325-10.html.csv | majority | the majority of these players did not sign with the los angeles dodgers . | {'scope': 'all', 'col': '5', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'no', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'signed', 'no'], 'result': True, 'ind': 0, 'tointer': 'for the signed records of all rows , all of them fuzzily match to no .', 'tostr': 'all_eq { all_rows ; signed ; no } = true'} | all_eq { all_rows ; signed ; no } = true | for the signed records of all rows , all of them fuzzily match to no . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'signed_3': 3, 'no_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'signed_3': 'signed', 'no_4': 'no'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'signed_3': [0], 'no_4': [0]} | ['round', 'name', 'position', 'school', 'signed'] | [['1', 'pat harrison', 'inf', 'university of southern california', 'no'], ['2', 'william camp', 'rhp', 'oklahoma state university', 'no cubs - 1970'], ['3', 'george pugh', 'lhp', 'mesa community college', 'no'], ['4', 'william ferguson', '1b', 'texas christian university', 'no reds - 1969 june'], ['5', 'george putz', '... |
global challenge | https://en.wikipedia.org/wiki/Global_Challenge | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1227024-4.html.csv | majority | most participants scored under 90 points for the 2004 global challenge race . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '90', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'points', '90'], 'result': True, 'ind': 0, 'tointer': 'for the points records of all rows , most of them are less than 90 .', 'tostr': 'most_less { all_rows ; points ; 90 } = true'} | most_less { all_rows ; points ; 90 } = true | for the points records of all rows , most of them are less than 90 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'points_3': 3, '90_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'points_3': 'points', '90_4': '90'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'points_3': [0], '90_4': [0]} | ['overall place', 'yacht name', 'skipper', 'points', 'combined elapsed time'] | [['1', 'bg spirit', 'andy forbes', '90', '166d 00h 50 m 36s'], ['2', 'barclays adventurer', 'stuart jackson', '76', '168d 09h 39 m 09s'], ['3', 'bp explorer', 'david melville', '74', '167d 13h 16 m 25s'], ['4', 'spirit of sark', 'duggie gillespie', '73', '166d 19h 15 m 25s'], ['5', 'saic la jolla', 'eero lehtinen', '71... |
greg pursley | https://en.wikipedia.org/wiki/Greg_Pursley | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15544826-1.html.csv | aggregation | from 2009 - 2012 , greg pursley won a total of 11 times . | {'scope': 'all', 'col': '3', 'type': 'sum', 'result': '11', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'wins'], 'result': '11', 'ind': 0, 'tostr': 'sum { all_rows ; wins }'}, '11'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; wins } ; 11 } = true', 'tointer': 'the sum of the wins record of all rows is 11 .'} | round_eq { sum { all_rows ; wins } ; 11 } = true | the sum of the wins record of all rows is 11 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'wins_4': 4, '11_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'wins_4': 'wins', '11_5': '11'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'wins_4': [0], '11_5': [1]} | ['year', 'races', 'wins', 'top 5', 'top 10', 'poles', 'avg start', 'avg finish', 'season rank'] | [['1999', '1', '0', '0', '0', '0', '16.0', '11.0', '64th'], ['2002', '10', '0', '2', '5', '0', '9.2', '10.2', '9th'], ['2007', '1', '0', '0', '0', '0', '22.0', '29.0', '69th'], ['2008', '4', '0', '0', '0', '0', '12.8', '25.2', '32nd'], ['2009', '13', '1', '8', '11', '2', '6.5', '6.3', '3rd'], ['2010', '12', '2', '4', '... |
2010 tim hortons brier | https://en.wikipedia.org/wiki/2010_Tim_Hortons_Brier | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-25381437-2.html.csv | comparative | jeff richard had one less win than serge reid . | {'row_1': '8', 'row_2': '6', 'col': '3', 'col_other': '2', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'skip', 'jeff richard'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose skip record fuzzily matches to jeff richard .', 'tostr': 'filter_eq { all_rows ; skip ; jeff richard }'}, 'w'], 'result': None, 'ind'... | less { hop { filter_eq { all_rows ; skip ; jeff richard } ; w } ; hop { filter_eq { all_rows ; skip ; serge reid } ; w } } = true | select the rows whose skip record fuzzily matches to jeff richard . take the w record of this row . select the rows whose skip record fuzzily matches to serge reid . take the w 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, 'skip_7': 7, 'jeff richard_8': 8, 'w_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'skip_11': 11, 'serge reid_12': 12, 'w_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', 'skip_7': 'skip', 'jeff richard_8': 'jeff richard', 'w_9': 'w', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'skip_11': 'skip', 'serge reid_12': 'serge r... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'skip_7': [0], 'jeff richard_8': [0], 'w_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'skip_11': [1], 'serge reid_12': [1], 'w_13': [3]} | ['locale', 'skip', 'w', 'l', 'pf', 'pa', 'ends won', 'ends lost', 'blank ends', 'stolen ends', 'shot pct'] | [['ontario', 'glenn howard', '11', '0', '90', '45', '50', '35', '8', '15', '88'], ['northern ontario', 'brad jacobs', '9', '2', '80', '54', '49', '39', '6', '17', '84'], ['alberta', 'kevin koe', '8', '3', '81', '62', '45', '42', '9', '11', '85'], ['newfoundland and labrador', 'brad gushue', '8', '3', '79', '53', '45', ... |
iran at the 2007 asian indoor games | https://en.wikipedia.org/wiki/Iran_at_the_2007_Asian_Indoor_Games | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14350710-31.html.csv | ordinal | mostafa abdollahi participated in the second heaviest weight division for iran at the 2007 asian indoor games . | {'row': '4', 'col': '2', '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', 'event', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; event ; 2 }'}, 'athlete'], 'result': 'mostafa abdollahi', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; event ; 2 } ; athlete }'}, 'mostafa ... | eq { hop { nth_argmax { all_rows ; event ; 2 } ; athlete } ; mostafa abdollahi } = true | select the row whose event record of all rows is 2nd maximum . the athlete record of this row is mostafa abdollahi . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'event_5': 5, '2_6': 6, 'athlete_7': 7, 'mostafa abdollahi_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', 'event_5': 'event', '2_6': '2', 'athlete_7': 'athlete', 'mostafa abdollahi_8': 'mostafa abdollahi'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'event_5': [0], '2_6': [0], 'athlete_7': [1], 'mostafa abdollahi_8': [2]} | ['athlete', 'event', 'quarterfinal', 'semifinal', 'final'] | [['ali ekranpour', '63.5 kg', 'did not advance', 'did not advance', 'did not advance'], ['jalal motamedi', '67 kg', 'ng ( mac ) w 5 - 0', 'kahhorov ( uzb ) l 0 - 5', 'did not advance'], ['vahid roshani', '71 kg', 'jawad ( irq ) w 5 - 0', 'shetty ( ind ) w rsch', 'kadirkulov ( uzb ) l 1 - 4'], ['mostafa abdollahi', '75 ... |
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/2-11734041-3.html.csv | superlative | carroll , joe barry joe barry carroll was the tallest player at 7 feet 1 inch for the houston rockets . | {'scope': 'all', 'col_superlative': '3', 'row_superlative': '3', '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', 'height in ft'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; height in ft }'}, 'player'], 'result': 'carroll , joe barry joe barry carroll', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; height in ft } ; player ... | eq { hop { argmax { all_rows ; height in ft } ; player } ; carroll , joe barry joe barry carroll } = true | select the row whose height in ft record of all rows is maximum . the player record of this row is carroll , joe barry joe barry carroll . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'height in ft_5': 5, 'player_6': 6, 'carroll , joe barry joe barry carroll_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'height in ft_5': 'height in ft', 'player_6': 'player', 'carroll , joe barry joe barry carroll_7': 'carroll , joe barry joe barry carroll'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'height in ft_5': [0], 'player_6': [1], 'carroll , joe barry joe barry carroll_7': [2]} | ['player', 'no ( s )', 'height in ft', 'position', 'years for rockets', 'school / club team / country'] | [['caldwell , adrian adrian caldwell', '44', '6 - 8', 'forward', '1989 - 91 , 1994 - 95', 'lamar'], ['carr , antoine antoine carr', '55', '6 - 9', 'forward', '1998 - 99', 'wichita state'], ['carroll , joe barry joe barry carroll', '2', '7 - 1', 'center / forward', '1987 - 88', 'purdue'], ['cassell , sam sam cassell', '... |
list of fc barcelona records and statistics | https://en.wikipedia.org/wiki/List_of_FC_Barcelona_records_and_statistics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14707564-7.html.csv | comparative | ladislao kubala scored more total goals for fc barcelona than carles rexach scored . | {'row_1': '5', 'row_2': '9', 'col': '4', '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', 'name', 'ladislao kubala'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose name record fuzzily matches to ladislao kubala .', 'tostr': 'filter_eq { all_rows ; name ; ladislao kubala }'}, 'goals'], 'resu... | greater { hop { filter_eq { all_rows ; name ; ladislao kubala } ; goals } ; hop { filter_eq { all_rows ; name ; carles rexach } ; goals } } = true | select the rows whose name record fuzzily matches to ladislao kubala . take the goals record of this row . select the rows whose name record fuzzily matches to carles rexach . take the goals 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, 'name_7': 7, 'ladislao kubala_8': 8, 'goals_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'name_11': 11, 'carles rexach_12': 12, 'goals_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', 'name_7': 'name', 'ladislao kubala_8': 'ladislao kubala', 'goals_9': 'goals', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'name_11': 'name', 'carl... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'name_7': [0], 'ladislao kubala_8': [0], 'goals_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'name_11': [1], 'carles rexach_12': [1], 'goals_13': [3]} | ['ranking', 'nationality', 'name', 'goals', 'years'] | [['1', 'philippines', 'paulino alcántara', '369', '1912 - 1916 , 1918 - 1927'], ['2', 'argentina', 'lionel messi', '352', '2004 -'], ['3', 'spain', 'josep samitier', '333', '1919 - 1932'], ['4', 'spain', 'césar rodríguez', '301', '1942 - 1955'], ['5', 'hungary', 'ladislao kubala', '280', '1950 - 1961'], ['6', 'spain', ... |
1942 green bay packers season | https://en.wikipedia.org/wiki/1942_Green_Bay_Packers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14877626-1.html.csv | majority | the majority of the players picked from minnesota were picked in round 1 through round 11 . | {'scope': 'subset', 'col': '1', 'most_or_all': 'most', 'criterion': 'less_than_eq', 'value': '11', 'subset': {'col': '5', 'criterion': 'equal', 'value': 'minnesota'}} | {'func': 'most_less_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'school / club team', 'minnesota'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; school / club team ; minnesota }', 'tointer': 'select the rows whose school / club team record fuzzily matches to minnesota .'}, 'round', '11'],... | most_less_eq { filter_eq { all_rows ; school / club team ; minnesota } ; round ; 11 } = true | select the rows whose school / club team record fuzzily matches to minnesota . for the round records of these rows , most of them are less than or equal to 11 . | 2 | 2 | {'most_less_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'school / club team_4': 4, 'minnesota_5': 5, 'round_6': 6, '11_7': 7} | {'most_less_eq_1': 'most_less_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'school / club team_4': 'school / club team', 'minnesota_5': 'minnesota', 'round_6': 'round', '11_7': '11'} | {'most_less_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'school / club team_4': [0], 'minnesota_5': [0], 'round_6': [1], '11_7': [1]} | ['round', 'pick', 'player', 'position', 'school / club team'] | [['1', '9', 'urban odson', 'tackle', 'minnesota'], ['3', '24', 'ray frankowski', 'guard', 'washington'], ['5', '39', 'bill green', 'back', 'iowa'], ['6', '49', 'joe krivonak', 'guard', 'south carolina'], ['7', '59', 'preston johnston', 'back', 'smu'], ['8', '69', 'joe rogers', 'end', 'michigan'], ['9', '79', 'noah lang... |
list of stargate audiobooks | https://en.wikipedia.org/wiki/List_of_Stargate_audiobooks | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-16279520-1.html.csv | majority | most of the titles had sharon gosling as the director . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'sharon gosling', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'director', 'sharon gosling'], 'result': True, 'ind': 0, 'tointer': 'for the director records of all rows , most of them fuzzily match to sharon gosling .', 'tostr': 'most_eq { all_rows ; director ; sharon gosling } = true'} | most_eq { all_rows ; director ; sharon gosling } = true | for the director records of all rows , most of them fuzzily match to sharon gosling . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'director_3': 3, 'sharon gosling_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'director_3': 'director', 'sharon gosling_4': 'sharon gosling'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'director_3': [0], 'sharon gosling_4': [0]} | ['title', 'series', 'release', 'featuring', 'writer', 'director', 'length', 'timeline', 'release date'] | [['gift of the gods', 'stargate sg - 1', '1.1', 'michael shanks john schwab', 'sally malcolm', 'sharon gosling', "70 '", 'season 3 before fair game', 'april 1 , 2008'], ['a necessary evil', 'stargate atlantis', '1.2', 'torri higginson timothy watson', 'sharon gosling', 'sharon gosling', "70 '", 'season 3 , bookended by... |
list of prime ministers of albania | https://en.wikipedia.org/wiki/List_of_Prime_Ministers_of_Albania | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-167235-8.html.csv | count | two of the albanian prime ministers have been with the democratic party of albania . | {'scope': 'all', 'criterion': 'equal', 'value': 'democratic party of albania', 'result': '2', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'political party', 'democratic party of albania'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose political party record fuzzily matches to democratic party of albania .', 'tostr': 'filter_eq { all_rows ; poli... | eq { count { filter_eq { all_rows ; political party ; democratic party of albania } } ; 2 } = true | select the rows whose political party record fuzzily matches to democratic party of albania . 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, 'political party_5': 5, 'democratic party of albania_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', 'political party_5': 'political party', 'democratic party of albania_6': 'democratic party of albania', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'political party_5': [0], 'democratic party of albania_6': [0], '2_7': [2]} | ['name', 'born - died', 'term start', 'term end', 'political party'] | [['prime ministers 1991 onwards', 'prime ministers 1991 onwards', 'prime ministers 1991 onwards', 'prime ministers 1991 onwards', 'prime ministers 1991 onwards'], ['fatos nano ( 1st time )', '1952 -', '22 february 1991', '5 june 1991', 'party of labour of albania'], ['ylli bufi', '1948 -', '5 june 1991', '10 december 1... |
national democratic congress ( ghana ) | https://en.wikipedia.org/wiki/National_Democratic_Congress_%28Ghana%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1725076-2.html.csv | count | the outcome of the election was ndc opposition two different times . | {'scope': 'all', 'criterion': 'equal', 'value': 'ndc opposition', 'result': '2', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'outcome of election', 'ndc opposition'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose outcome of election record fuzzily matches to ndc opposition .', 'tostr': 'filter_eq { all_rows ; outcome of election ; ... | eq { count { filter_eq { all_rows ; outcome of election ; ndc opposition } } ; 2 } = true | select the rows whose outcome of election record fuzzily matches to ndc opposition . 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, 'outcome of election_5': 5, 'ndc opposition_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', 'outcome of election_5': 'outcome of election', 'ndc opposition_6': 'ndc opposition', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'outcome of election_5': [0], 'ndc opposition_6': [0], '2_7': [2]} | ['election', 'candidate', 'number of votes', 'share of votes', 'outcome of election'] | [['2012', 'john dramani mahama', '5574761', '50.7 %', 'mahama ndc government'], ['2008 ( 2 )', 'john atta mills', '4501466', '50.1 %', 'mills ndc government'], ['2008 ( 1 )', 'john atta mills', '4056634', '47.9 %', '2nd round election'], ['2004', 'john atta mills', '3850368', '44.6 %', 'ndc opposition'], ['2000 ( 2nd )... |
wru division five south west | https://en.wikipedia.org/wiki/WRU_Division_Five_South_West | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17675675-1.html.csv | comparative | glais rfc lost less of their matches than tycroes rfc lost . | {'row_1': '9', 'row_2': '10', 'col': '4', 'col_other': '1', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'club', 'glais rfc'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose club record fuzzily matches to glais rfc .', 'tostr': 'filter_eq { all_rows ; club ; glais rfc }'}, 'lost'], 'result': None, 'ind': 2, '... | less { hop { filter_eq { all_rows ; club ; glais rfc } ; lost } ; hop { filter_eq { all_rows ; club ; tycroes rfc } ; lost } } = true | select the rows whose club record fuzzily matches to glais rfc . take the lost record of this row . select the rows whose club record fuzzily matches to tycroes rfc . take the lost 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, 'club_7': 7, 'glais rfc_8': 8, 'lost_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'club_11': 11, 'tycroes rfc_12': 12, 'lost_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', 'club_7': 'club', 'glais rfc_8': 'glais rfc', 'lost_9': 'lost', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'club_11': 'club', 'tycroes rfc_12': 'tycroe... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'club_7': [0], 'glais rfc_8': [0], 'lost_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'club_11': [1], 'tycroes rfc_12': [1], 'lost_13': [3]} | ['club', 'played', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'] | [['club', 'played', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'], ['birchgrove rfc', '20', '0', '3', '538', '257', '82', '29', '13', '2', '83'], ['neath athletic rfc', '20', '0', '3', '616', '194', '89', '24', '12', '2', '82'], ['trebanos rfc', '2... |
allsvenskan | https://en.wikipedia.org/wiki/Allsvenskan | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1096793-8.html.csv | comparative | malmö ff has won more allsvenskan titles than ifk göteborg has won . | {'row_1': '1', 'row_2': '2', 'col': '3', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'club', 'malmö ff'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose club record fuzzily matches to malmö ff .', 'tostr': 'filter_eq { all_rows ; club ; malmö ff }'}, 'allsvenskan titles'], 'result': Non... | greater { hop { filter_eq { all_rows ; club ; malmö ff } ; allsvenskan titles } ; hop { filter_eq { all_rows ; club ; ifk göteborg } ; allsvenskan titles } } = true | select the rows whose club record fuzzily matches to malmö ff . take the allsvenskan titles record of this row . select the rows whose club record fuzzily matches to ifk göteborg . take the allsvenskan titles 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, 'club_7': 7, 'malmö ff_8': 8, 'allsvenskan titles_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'club_11': 11, 'ifk göteborg_12': 12, 'allsvenskan titles_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', 'club_7': 'club', 'malmö ff_8': 'malmö ff', 'allsvenskan titles_9': 'allsvenskan titles', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'club_11': '... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'club_7': [0], 'malmö ff_8': [0], 'allsvenskan titles_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'club_11': [1], 'ifk göteborg_12': [1], 'allsvenskan titles_13': [3]} | ['club', 'swedish championship titles', 'allsvenskan titles', 'introduced', 'stars symbolizes'] | [['malmö ff', '17', '20', '2006', 'number of allsvenskan titles'], ['ifk göteborg', '18', '13', '2006', 'number of swedish championship titles'], ['ifk norrköping', '12', '12', '2006', 'number of swedish championship titles'], ['örgryte is', '12', '2', '2006', 'number of swedish championship titles'], ['djurgårdens if'... |
frank kratovil | https://en.wikipedia.org/wiki/Frank_Kratovil | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16353840-1.html.csv | unique | the 2010 us house , maryland 's 1st district election was the only one that andy harris won . | {'scope': 'all', 'row': '5', 'col': '4', 'col_other': '1,2', 'criterion': 'equal', 'value': 'andy harris', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'subject', 'andy harris'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose subject record fuzzily matches to andy harris .', 'tostr': 'filter_eq { all_rows ; subject ; andy harris }'}], 'result': True, 'ind': 1... | and { only { filter_eq { all_rows ; subject ; andy harris } } ; and { eq { hop { filter_eq { all_rows ; subject ; andy harris } ; year } ; 2010 } ; eq { hop { filter_eq { all_rows ; subject ; andy harris } ; office } ; us house , maryland 's 1st district } } } = true | select the rows whose subject record fuzzily matches to andy harris . there is only one such row in the table . the year record of this unqiue row is 2010 . the office record of this unqiue row is us house , maryland 's 1st district . | 10 | 8 | {'and_7': 7, 'result_8': 8, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_9': 9, 'subject_10': 10, 'andy harris_11': 11, 'and_6': 6, 'eq_3': 3, 'num_hop_2': 2, 'year_12': 12, '2010_13': 13, 'str_eq_5': 5, 'str_hop_4': 4, 'office_14': 14, "us house , maryland 's 1st district_15": 15} | {'and_7': 'and', 'result_8': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_9': 'all_rows', 'subject_10': 'subject', 'andy harris_11': 'andy harris', 'and_6': 'and', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'year_12': 'year', '2010_13': '2010', 'str_eq_5': 'str_eq', 'str_hop_4': 'str_hop', 'office... | {'and_7': [8], 'result_8': [], 'only_1': [7], 'filter_str_eq_0': [1, 2, 4], 'all_rows_9': [0], 'subject_10': [0], 'andy harris_11': [0], 'and_6': [7], 'eq_3': [6], 'num_hop_2': [3], 'year_12': [2], '2010_13': [3], 'str_eq_5': [6], 'str_hop_4': [5], 'office_14': [4], "us house , maryland 's 1st district_15": [5]} | ['year', 'office', 'election', 'subject', 'party', 'votes'] | [['2002', "queen anne 's county state 's attorney", 'general', 'frank kratovil', 'democratic', '9169'], ['2006', "queen anne 's county state 's attorney", 'general', 'frank kratovil', 'democratic', '13894'], ['2008', "us house , maryland 's 1st district", 'primary', 'frank kratovil', 'democratic', '28566'], ['2008', "u... |
2008 washington redskins season | https://en.wikipedia.org/wiki/2008_Washington_Redskins_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10966926-4.html.csv | ordinal | the october 12 game against the st louis rams was in week 6 of the 2008 washington redskins season . | {'row': '6', 'col': '1', 'order': '6', 'col_other': '2', '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', 'week', '6'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; week ; 6 }'}, 'date'], 'result': 'october 12 , 2008', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; week ; 6 } ; date }'}, 'october 12 , 2008... | eq { hop { nth_argmin { all_rows ; week ; 6 } ; date } ; october 12 , 2008 } = true | select the row whose week record of all rows is 6th minimum . the date record of this row is october 12 , 2008 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'week_5': 5, '6_6': 6, 'date_7': 7, 'october 12 , 2008_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', 'week_5': 'week', '6_6': '6', 'date_7': 'date', 'october 12 , 2008_8': 'october 12 , 2008'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'week_5': [0], '6_6': [0], 'date_7': [1], 'october 12 , 2008_8': [2]} | ['week', 'date', 'opponent', 'time ( et )', 'result', 'game site', 'record', 'match report'] | [['1', 'september 4 , 2008', 'new york giants', '7:00', 'l 7 - 16', 'giants stadium', '0 - 1', 'recap'], ['2', 'september 14 , 2008', 'new orleans saints', '1:00', 'w 29 - 24', 'fedex field', '1 - 1', 'recap'], ['3', 'september 21 , 2008', 'arizona cardinals', '1:00', 'w 24 - 17', 'fedex field', '2 - 1', 'recap'], ['4'... |
bleeding time | https://en.wikipedia.org/wiki/Bleeding_time | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-221653-1.html.csv | unique | the only platelet count that could be either decreased or unaffected when discussing bleeding time is in bernard-soulier syndrome . | {'scope': 'all', 'row': '14', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': 'decreased or unaffected', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'platelet count', 'decreased or unaffected'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose platelet count record fuzzily matches to decreased or unaffected .', 'tostr': 'filter_eq { all_rows ; platelet count... | and { only { filter_eq { all_rows ; platelet count ; decreased or unaffected } } ; eq { hop { filter_eq { all_rows ; platelet count ; decreased or unaffected } ; condition } ; bernard - soulier syndrome } } = true | select the rows whose platelet count record fuzzily matches to decreased or unaffected . there is only one such row in the table . the condition record of this unqiue row is bernard - soulier syndrome . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'platelet count_7': 7, 'decreased or unaffected_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'condition_9': 9, 'bernard - soulier syndrome_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'platelet count_7': 'platelet count', 'decreased or unaffected_8': 'decreased or unaffected', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'condition_9': 'condition', 'bernard - soulier syndrome_10': 'b... | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'platelet count_7': [0], 'decreased or unaffected_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'condition_9': [2], 'bernard - soulier syndrome_10': [3]} | ['condition', 'prothrombin time', 'partial thromboplastin time', 'bleeding time', 'platelet count'] | [['vitamin k deficiency or warfarin', 'prolonged', 'normal or mildly prolonged', 'unaffected', 'unaffected'], ['disseminated intravascular coagulation', 'prolonged', 'prolonged', 'prolonged', 'decreased'], ['von willebrand disease', 'unaffected', 'prolonged or unaffected', 'prolonged', 'unaffected'], ['hemophilia', 'un... |
thomaz bellucci | https://en.wikipedia.org/wiki/Thomaz_Bellucci | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17436425-8.html.csv | ordinal | of the tournaments thomaz bellucci played in , the 2nd earliest was in ecuador . | {'row': '2', 'col': '2', 'order': '2', 'col_other': '3', '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', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; date ; 2 }'}, 'tournament'], 'result': 'cuenca , ecuador', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; date ; 2 } ; tournament }'}, 'cuenca... | eq { hop { nth_argmin { all_rows ; date ; 2 } ; tournament } ; cuenca , ecuador } = true | select the row whose date record of all rows is 2nd minimum . the tournament record of this row is cuenca , ecuador . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'date_5': 5, '2_6': 6, 'tournament_7': 7, 'cuenca , ecuador_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', '2_6': '2', 'tournament_7': 'tournament', 'cuenca , ecuador_8': 'cuenca , ecuador'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'date_5': [0], '2_6': [0], 'tournament_7': [1], 'cuenca , ecuador_8': [2]} | ['outcome', 'date', 'tournament', 'surface', 'opponent', 'score'] | [['runner - up', '15 july 2007', 'bogotá , colombia', 'clay', 'carlos salamanca', '6 - 4 , 3 - 6 , 2 - 6'], ['runner - up', '22 july 2007', 'cuenca , ecuador', 'clay', 'leonardo mayer', '3 - 6 , 2 - 6'], ['winner', '2 march 2008', 'santiago , chile', 'clay', 'eduardo schwank', '6 - 4 , 7 - 6 ( 7 - 3 )'], ['winner', '14... |
1990 - 91 seattle supersonics season | https://en.wikipedia.org/wiki/1990%E2%80%9391_Seattle_SuperSonics_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17382360-4.html.csv | count | in the 1990-91 seattle supersonics season , when the supersonics won , on there were three games where g payton had the high assists . | {'scope': 'subset', 'criterion': 'fuzzily_match', 'value': 'g payton', 'result': '3', 'col': '7', 'subset': {'col': '4', 'criterion': 'fuzzily_match', 'value': 'w'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'score', 'w'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; score ; w }', 'tointer': 'select the rows whose score record fuzzily matches to w .'}, 'high assists', 'g payton'... | eq { count { filter_eq { filter_eq { all_rows ; score ; w } ; high assists ; g payton } } ; 3 } = true | select the rows whose score record fuzzily matches to w . among these rows , select the rows whose high assists record fuzzily matches to g payton . the number of such rows is 3 . | 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, 'score_6': 6, 'w_7': 7, 'high assists_8': 8, 'g payton_9': 9, '3_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', 'score_6': 'score', 'w_7': 'w', 'high assists_8': 'high assists', 'g payton_9': 'g payton', '3_10': '3'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'score_6': [0], 'w_7': [0], 'high assists_8': [1], 'g payton_9': [1], '3_10': [3]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['1', 'november 3', 'houston rockets', 'w 118 - 106', 'x mcdaniel ( 24 )', 's kemp ( 10 )', 'x mcdaniel , s threatt ( 7 )', 'seattle center coliseum 13922', '1 - 0'], ['2', 'november 6', 'detroit pistons', 'w 100 - 92', 'x mcdaniel ( 24 )', 's kemp ( 13 )', 'g payton ( 6 )', 'seattle center coliseum 13078', '2 - 0'], ... |
euroleague 2007 - 08 individual statistics | https://en.wikipedia.org/wiki/Euroleague_2007%E2%80%9308_Individual_Statistics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16050349-4.html.csv | count | two of the top scoring players in euroleague 2007 - 08 were on the team lietuvos rytas vilnius . | {'scope': 'all', 'criterion': 'equal', 'value': 'lietuvos rytas vilnius', 'result': '2', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', 'lietuvos rytas vilnius'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team record fuzzily matches to lietuvos rytas vilnius .', 'tostr': 'filter_eq { all_rows ; team ; lietuvos rytas vilnius }'}], ... | eq { count { filter_eq { all_rows ; team ; lietuvos rytas vilnius } } ; 2 } = true | select the rows whose team record fuzzily matches to lietuvos rytas vilnius . 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, 'team_5': 5, 'lietuvos rytas vilnius_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', 'team_5': 'team', 'lietuvos rytas vilnius_6': 'lietuvos rytas vilnius', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'team_5': [0], 'lietuvos rytas vilnius_6': [0], '2_7': [2]} | ['rank', 'name', 'team', 'games', 'points'] | [['1', 'will solomon', 'fenerbahçe', '6', '123'], ['2', 'jeremiah massey', 'aris thessaloniki', '6', '120'], ['3', 'lynn greer', 'olympiacos', '6', '113'], ['4', 'hollis price', 'lietuvos rytas vilnius', '6', '101'], ['4', 'kenan bajramović', 'lietuvos rytas vilnius', '6', '101']] |
zakspeed | https://en.wikipedia.org/wiki/Zakspeed | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1219581-1.html.csv | unique | 1989 was the only year that the zakspeed motor racing team used a yamaha engine . | {'scope': 'all', 'row': '5', 'col': '3', 'col_other': '1', 'criterion': 'fuzzily_match', 'value': 'yamaha', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'engine ( s )', 'yamaha'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose engine ( s ) record fuzzily matches to yamaha .', 'tostr': 'filter_eq { all_rows ; engine ( s ) ; yamaha }'}], 'result': True, 'ind': 1... | and { only { filter_eq { all_rows ; engine ( s ) ; yamaha } } ; eq { hop { filter_eq { all_rows ; engine ( s ) ; yamaha } ; year } ; 1989 } } = true | select the rows whose engine ( s ) record fuzzily matches to yamaha . there is only one such row in the table . the year record of this unqiue row is 1989 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'engine (s)_7': 7, 'yamaha_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'year_9': 9, '1989_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'engine (s)_7': 'engine ( s )', 'yamaha_8': 'yamaha', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'year_9': 'year', '1989_10': '1989'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'engine (s)_7': [0], 'yamaha_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'year_9': [2], '1989_10': [3]} | ['year', 'chassis', 'engine ( s )', 'tyres', 'points'] | [['1985', 'zakspeed 841', 'zakspeed s4 t / c', 'g', '0'], ['1986', 'zakspeed 861', 'zakspeed s4 t / c', 'g', '0'], ['1987', 'zakspeed 861 zakspeed 871', 'zakspeed s4 t / c', 'g', '2'], ['1988', 'zakspeed 881', 'zakspeed s4 t / c', 'g', '0'], ['1989', 'zakspeed 891', 'yamaha v8', 'p', '0']] |
daniel gimeno - traver | https://en.wikipedia.org/wiki/Daniel_Gimeno-Traver | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16965329-5.html.csv | majority | most of daniel gimeno - traver 's matches have been played on a clay surface . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'clay', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'surface', 'clay'], 'result': True, 'ind': 0, 'tointer': 'for the surface records of all rows , most of them fuzzily match to clay .', 'tostr': 'most_eq { all_rows ; surface ; clay } = true'} | most_eq { all_rows ; surface ; clay } = true | for the surface records of all rows , most of them fuzzily match to clay . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'surface_3': 3, 'clay_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'surface_3': 'surface', 'clay_4': 'clay'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'surface_3': [0], 'clay_4': [0]} | ['date', 'tournament', 'surface', 'opponent', 'score'] | [['5 september 2005', 'brasov', 'clay', 'daniel elsner', '5 - 7 , 2 - 6'], ['5 november 2007', 'guayaquil', 'clay', 'nicolás lapentti', '3 - 6 , 7 - 6 ( 6 ) , 5 - 7'], ['10 march 2008', 'tanger', 'clay', 'marcel granollers', '4 - 6 , 4 - 6'], ['15 september 2008', 'banja luka', 'clay', 'ilija bozoljac', '4 - 6 , 4 - 6'... |
new year live | https://en.wikipedia.org/wiki/New_Year_Live | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-24212608-1.html.csv | count | for the show new years live , jake humphrey was the bbc one presenter two times . | {'scope': 'all', 'criterion': 'equal', 'value': 'jake humphrey', 'result': '2', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'bbc one presenter ( s )', 'jake humphrey'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose bbc one presenter ( s ) record fuzzily matches to jake humphrey .', 'tostr': 'filter_eq { all_rows ; bbc one presente... | eq { count { filter_eq { all_rows ; bbc one presenter ( s ) ; jake humphrey } } ; 2 } = true | select the rows whose bbc one presenter ( s ) record fuzzily matches to jake humphrey . 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, 'bbc one presenter (s)_5': 5, 'jake humphrey_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', 'bbc one presenter (s)_5': 'bbc one presenter ( s )', 'jake humphrey_6': 'jake humphrey', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'bbc one presenter (s)_5': [0], 'jake humphrey_6': [0], '2_7': [2]} | ['episode', 'broadcast date', 'bbc one presenter ( s )', 'starring', 'radio 1 presenter', 'viewers ( millions )'] | [['1', '2005', 'clare balding', 'doug segal', 'n / a', '6.43'], ['2', '2006', 'myleene klass', 'gethin jones , natasha kaplinsky & alesha dixon', 'n / a', '6.06'], ['3', '2007', 'myleene klass', 'gethin jones , natasha kaplinsky & nick knowles', 'n / a', '5.35'], ['5', '2009', 'myleene klass', 'n / a', 'nihal', '7.65']... |
paul caligiuri | https://en.wikipedia.org/wiki/Paul_Caligiuri | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1036039-1.html.csv | ordinal | of the competitions that paul caligiuri participated in , the 2nd earliest was in trinidad and tobago . | {'row': '2', 'col': '1', 'order': '2', 'col_other': '2', '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', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; date ; 2 }'}, 'venue'], 'result': 'port of spain , trinidad and tobago', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; date ; 2 } ; venue }'}... | eq { hop { nth_argmin { all_rows ; date ; 2 } ; venue } ; port of spain , trinidad and tobago } = true | select the row whose date record of all rows is 2nd minimum . the venue record of this row is port of spain , trinidad and tobago . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'date_5': 5, '2_6': 6, 'venue_7': 7, 'port of spain , trinidad and tobago_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', '2_6': '2', 'venue_7': 'venue', 'port of spain , trinidad and tobago_8': 'port of spain , trinidad and tobago'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'date_5': [0], '2_6': [0], 'venue_7': [1], 'port of spain , trinidad and tobago_8': [2]} | ['date', 'venue', 'score', 'result', 'competition'] | [['may 19 , 1985', 'torrance , california', '1 - 0', '1 - 0', '1986 world cup qualifying'], ['november 19 , 1989', 'port of spain , trinidad and tobago', '1 - 0', '1 - 0', '1990 world cup qualifying'], ['march 10 , 1990', 'tampa , florida', '1 - 0', '2 - 1', 'friendly'], ['june 10 , 1990', 'florence , italy', '1 - 3', ... |
2007 - 08 boston celtics season | https://en.wikipedia.org/wiki/2007%E2%80%9308_Boston_Celtics_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11959669-6.html.csv | count | during the 2007-08 boston celtics season , rondo had the high assists 6 times . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'rondo', 'result': '6', 'col': '7', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'high assists', 'rondo'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose high assists record fuzzily matches to rondo .', 'tostr': 'filter_eq { all_rows ; high assists ; rondo }'}], 'result': '6', 'ind': 1, 't... | eq { count { filter_eq { all_rows ; high assists ; rondo } } ; 6 } = true | select the rows whose high assists record fuzzily matches to rondo . the number of such rows is 6 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'high assists_5': 5, 'rondo_6': 6, '6_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'high assists_5': 'high assists', 'rondo_6': 'rondo', '6_7': '6'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'high assists_5': [0], 'rondo_6': [0], '6_7': [2]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['45', 'february 5', 'cleveland', '113 - 114', 'allen ( 24 )', 'rondo ( 7 )', 'allen ( 5 )', 'quicken loans arena 20562', '36 - 9'], ['46', 'february 6', 'la clippers', '111 - 100', 'rondo ( 24 )', 'powe ( 10 )', 'rondo ( 8 )', 'td banknorth garden 18624', '37 - 9'], ['47', 'february 8', 'minnesota', '88 - 86', 'pierc... |
pablo andújar | https://en.wikipedia.org/wiki/Pablo_And%C3%BAjar | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16949333-3.html.csv | count | pablo andujar was the runner up in 3 of the matches in which he played . | {'scope': 'all', 'criterion': 'equal', 'value': 'runner - up', 'result': '3', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'outcome', 'runner - up'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose outcome record fuzzily matches to runner - up .', 'tostr': 'filter_eq { all_rows ; outcome ; runner - up }'}], 'result': '3', 'ind': 1,... | eq { count { filter_eq { all_rows ; outcome ; runner - up } } ; 3 } = true | select the rows whose outcome record fuzzily matches to runner - up . 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, 'outcome_5': 5, 'runner - up_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', 'outcome_5': 'outcome', 'runner - up_6': 'runner - up', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'outcome_5': [0], 'runner - up_6': [0], '3_7': [2]} | ['outcome', 'date', 'tournament', 'surface', 'opponent', 'score'] | [['runner - up', 'september 26 , 2010', 'brd năstase ţiriac trophy , bucharest , romania', 'clay', 'juan ignacio chela', '5 - 7 , 1 - 6'], ['winner', 'april 10 , 2011', 'grand prix hassan ii , casablanca , morocco ( 1 )', 'clay', 'potito starace', '6 - 1 , 6 - 2'], ['runner - up', 'july 17 , 2011', 'mercedescup , stutt... |
naval campaign of the war of the pacific | https://en.wikipedia.org/wiki/Naval_Campaign_of_the_War_of_the_Pacific | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23614702-1.html.csv | comparative | the warship blanco encalada had more horse power than the warship cochrane . | {'row_1': '1', 'row_2': '2', 'col': '3', 'col_other': '1', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'warship', 'cochrane'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose warship record fuzzily matches to cochrane .', 'tostr': 'filter_eq { all_rows ; warship ; cochrane }'}, 'horse - power'], 'result': No... | less { hop { filter_eq { all_rows ; warship ; cochrane } ; horse - power } ; hop { filter_eq { all_rows ; warship ; blanco encalada } ; horse - power } } = true | select the rows whose warship record fuzzily matches to cochrane . take the horse - power record of this row . select the rows whose warship record fuzzily matches to blanco encalada . take the horse - power 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, 'warship_7': 7, 'cochrane_8': 8, 'horse - power_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'warship_11': 11, 'blanco encalada_12': 12, 'horse - power_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', 'warship_7': 'warship', 'cochrane_8': 'cochrane', 'horse - power_9': 'horse - power', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'warship_11': 'warship... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'warship_7': [0], 'cochrane_8': [0], 'horse - power_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'warship_11': [1], 'blanco encalada_12': [1], 'horse - power_13': [3]} | ['warship', 'tons ( lton )', 'horse - power', 'speed ( knots )', 'armour ( inch )', 'main artillery', 'built year'] | [['cochrane', '3560', '2000', '9 - 12 , 8', 'up to 9', '6x9 inch', '1874'], ['blanco encalada', '3560', '3000', '9 - 12 , 8', 'up to 9', '6x9 inch', '1874'], ['huascar', '1130', '1200', '10 - 11', '4 ½', '2x300 - pounders', '1865'], ['independencia', '2004', '1500', '12 - 13', '4 ½', '2x150 - pounders', '1865'], ['manc... |
johnny thomson | https://en.wikipedia.org/wiki/Johnny_Thomson | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1236178-1.html.csv | aggregation | the average qual time for driver johnny thomson was 141.562 . | {'scope': 'all', 'col': '3', 'type': 'average', 'result': '141.562', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'qual'], 'result': '141.562', 'ind': 0, 'tostr': 'avg { all_rows ; qual }'}, '141.562'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; qual } ; 141.562 } = true', 'tointer': 'the average of the qual record of all rows is 141.562 .'} | round_eq { avg { all_rows ; qual } ; 141.562 } = true | the average of the qual record of all rows is 141.562 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'qual_4': 4, '141.562_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'qual_4': 'qual', '141.562_5': '141.562'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'qual_4': [0], '141.562_5': [1]} | ['year', 'start', 'qual', 'rank', 'finish', 'laps'] | [['1953', '33', '135.262', '33', '32', '6'], ['1954', '4', '138.787', '12', '24', '165'], ['1955', '33', '134.113', '33', '4', '200'], ['1956', '18', '145.549', '2', '32', '22'], ['1957', '11', '143.529', '4', '12', '199'], ['1958', '22', '142.908', '20', '23', '52'], ['1959', '1', '145.908', '1', '3', '200'], ['1960',... |
washington redskins draft history | https://en.wikipedia.org/wiki/Washington_Redskins_draft_history | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17100961-32.html.csv | unique | carl palazzo is the only player that the washington redskins drafted from adams state college . | {'scope': 'all', 'row': '9', 'col': '6', 'col_other': '4', 'criterion': 'equal', 'value': 'adams state', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'college', 'adams state'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose college record fuzzily matches to adams state .', 'tostr': 'filter_eq { all_rows ; college ; adams state }'}], 'result': True, 'ind': 1... | and { only { filter_eq { all_rows ; college ; adams state } } ; eq { hop { filter_eq { all_rows ; college ; adams state } ; name } ; carl palazzo } } = true | select the rows whose college record fuzzily matches to adams state . there is only one such row in the table . the name record of this unqiue row is carl palazzo . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'college_7': 7, 'adams state_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'carl palazzo_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'college_7': 'college', 'adams state_8': 'adams state', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'carl palazzo_10': 'carl palazzo'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'college_7': [0], 'adams state_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'carl palazzo_10': [3]} | ['round', 'pick', 'overall', 'name', 'position', 'college'] | [['1', '1', '1', 'ernie davis', 'rb', 'syracuse'], ['2', '1', '15', 'joe hernandez', 'wr', 'arizona'], ['3', '1', '29', 'bob mitinger', 'lb', 'penn state'], ['4', '1', '43', 'billy neighbors', 'g', 'alabama'], ['7', '1', '85', 'bert coan', 'hb', 'kansas'], ['8', '1', '99', 'ron hatcher', 'fb', 'michigan state'], ['9', ... |
fred astaire chronology of performances | https://en.wikipedia.org/wiki/Fred_Astaire_chronology_of_performances | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15186990-3.html.csv | count | in the chronology of fred astaire 's performances , the music by george gershwin was used 4 times . | {'scope': 'all', 'criterion': 'equal', 'value': 'george gershwin', 'result': '4', 'col': '8', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'music', 'george gershwin'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose music record fuzzily matches to george gershwin .', 'tostr': 'filter_eq { all_rows ; music ; george gershwin }'}], 'result': '4', 'in... | eq { count { filter_eq { all_rows ; music ; george gershwin } } ; 4 } = true | select the rows whose music record fuzzily matches to george gershwin . 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, 'music_5': 5, 'george gershwin_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', 'music_5': 'music', 'george gershwin_6': 'george gershwin', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'music_5': [0], 'george gershwin_6': [0], '4_7': [2]} | ['title', 'date', 'theatre', 'role', 'dance partner', 'director', 'lyrics', 'music'] | [['the love letter', 'oct 4 1921', 'globe', 'richard kolner', 'adele astaire', 'edward royce', 'william lebaron', 'victor jacobi'], ['for goodness sake', 'feb 20 1922', 'lyric', 'teddy lawrence', 'adele astaire', 'priestley morrison', 'arthur jackson', 'william daly paul lannin'], ['the bunch and judy', 'nov 28 1922', ... |
galatasaray s.k. ( women 's volleyball ) | https://en.wikipedia.org/wiki/Galatasaray_S.K._%28women%27s_volleyball%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18729577-2.html.csv | majority | most of the players from the galatasaray s.k. women 's volleyball team have a height under 190 . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '190', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'height', '190'], 'result': True, 'ind': 0, 'tointer': 'for the height records of all rows , most of them are less than 190 .', 'tostr': 'most_less { all_rows ; height ; 190 } = true'} | most_less { all_rows ; height ; 190 } = true | for the height records of all rows , most of them are less than 190 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'height_3': 3, '190_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'height_3': 'height', '190_4': '190'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'height_3': [0], '190_4': [0]} | ['shirt no', 'nationality', 'player', 'birth date', 'height', 'position'] | [['1', 'turkey', 'ergül avcı', 'june 24 , 1987 ( age26 )', '190', 'middle blocker'], ['2', 'turkey', 'sinem barut', 'april 12 , 1986 ( age27 )', '186', 'middle blocker'], ['5', 'bulgaria', 'dobriana rabadzhieva', 'june 14 , 1991 ( age22 )', '190', 'outside hitter'], ['7', 'colombia', 'madelaynne montaño', 'january 6 , ... |
1991 - 92 in argentine football | https://en.wikipedia.org/wiki/1991%E2%80%9392_in_Argentine_football | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-14390413-1.html.csv | majority | most of the teams which participated in the 1991 - 92 argentine football season games each played 114 matches . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'equal', 'value': '114', 'subset': None} | {'func': 'most_eq', 'args': ['all_rows', 'played', '114'], 'result': True, 'ind': 0, 'tointer': 'for the played records of all rows , most of them are equal to 114 .', 'tostr': 'most_eq { all_rows ; played ; 114 } = true'} | most_eq { all_rows ; played ; 114 } = true | for the played records of all rows , most of them are equal to 114 . | 1 | 1 | {'most_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'played_3': 3, '114_4': 4} | {'most_eq_0': 'most_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'played_3': 'played', '114_4': '114'} | {'most_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'played_3': [0], '114_4': [0]} | ['team', 'average', 'points', 'played', '1989 - 90', '1990 - 91', '1991 - 1992'] | [['river plate', '1.342', '153', '114', '53', '45', '55'], ['boca juniors', '1.263', '144', '114', '43', '51', '50'], ['vélez sársfield', '1.184', '135', '114', '42', '45', '48'], ["newell 's old boys", '1.123', '128', '114', '36', '48', '44'], ['independiente', '1.070', '122', '114', '46', '40', '36'], ['racing club',... |
euroleague 2007 - 08 individual statistics | https://en.wikipedia.org/wiki/Euroleague_2007%E2%80%9308_Individual_Statistics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16050349-2.html.csv | majority | all of the top players in euroleague 2007 - 08 had 100 or more rebounds . | {'scope': 'all', 'col': '5', 'most_or_all': 'all', 'criterion': 'greater_than_eq', 'value': '100', 'subset': None} | {'func': 'all_greater_eq', 'args': ['all_rows', 'rebounds', '100'], 'result': True, 'ind': 0, 'tointer': 'for the rebounds records of all rows , all of them are greater than or equal to 100 .', 'tostr': 'all_greater_eq { all_rows ; rebounds ; 100 } = true'} | all_greater_eq { all_rows ; rebounds ; 100 } = true | for the rebounds records of all rows , all of them are greater than or equal to 100 . | 1 | 1 | {'all_greater_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'rebounds_3': 3, '100_4': 4} | {'all_greater_eq_0': 'all_greater_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'rebounds_3': 'rebounds', '100_4': '100'} | {'all_greater_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'rebounds_3': [0], '100_4': [0]} | ['rank', 'name', 'team', 'games', 'rebounds'] | [['1', 'travis watson', 'armani jeans milano', '14', '136'], ['2', 'mirsad türkcan', 'fenerbahçe', '11', '102'], ['3', 'jeremiah massey', 'aris thessaloniki', '14', '113'], ['4', 'nikola peković', 'partizan belgrade', '14', '112'], ['5', 'felipe reyes', 'real madrid', '13', '100']] |
geography of the european union | https://en.wikipedia.org/wiki/Geography_of_the_European_Union | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1653499-1.html.csv | comparative | barcelona , spain has a higher population in the metro area than athens , greece . | {'row_1': '6', 'row_2': '10', 'col': '7', 'col_other': '7', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'population metro area in millions', '5.3'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose population metro area in millions record fuzzily matches to 5.3 .', 'tostr': 'filter_eq { all_rows ; populatio... | greater { hop { filter_eq { all_rows ; population metro area in millions ; 5.3 } ; population metro area in millions } ; hop { filter_eq { all_rows ; population metro area in millions ; 3.9 } ; population metro area in millions } } = true | select the rows whose population metro area in millions record fuzzily matches to 5.3 . take the population metro area in millions record of this row . select the rows whose population metro area in millions record fuzzily matches to 3.9 . take the population metro area in millions record of this row . the first record... | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'population metro area in millions_7': 7, '5.3_8': 8, 'population metro area in millions_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'population metro area in millions_11': 11, '3.9_12': 12, 'population metro area... | {'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'population metro area in millions_7': 'population metro area in millions', '5.3_8': '5.3', 'population metro area in millions_9': 'population metro area in millions', 'num_hop_3': 'num_hop... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'population metro area in millions_7': [0], '5.3_8': [0], 'population metro area in millions_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'population metro area in millions_11': [1], '3.9_12': [1], ... | ['city proper', 'population city limits in millions', 'density per km square', 'urban area', 'population urban area in millions', 'metro area', 'population metro area in millions'] | [['london , uk', '7.5', '4761', 'paris , france', '10.1', 'london , uk', '12 - 14'], ['berlin , germany', '3.4', '3815', 'london , uk', '8.5', 'paris , france', '11.7'], ['madrid , spain', '3.1', '1985', 'madrid , spain', '5.5', 'rhine - ruhr , germany', '10.2'], ['rome , italy', '2.7', '5198', 'ruhr , germany', '5.3',... |
claudio suárez | https://en.wikipedia.org/wiki/Claudio_Su%C3%A1rez | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1007636-2.html.csv | majority | most of claudio suárez ' competitions were in the category of friendly competitions . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'friendly', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'competition', 'friendly'], 'result': True, 'ind': 0, 'tointer': 'for the competition records of all rows , most of them fuzzily match to friendly .', 'tostr': 'most_eq { all_rows ; competition ; friendly } = true'} | most_eq { all_rows ; competition ; friendly } = true | for the competition records of all rows , most of them fuzzily match to friendly . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'competition_3': 3, 'friendly_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'competition_3': 'competition', 'friendly_4': 'friendly'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'competition_3': [0], 'friendly_4': [0]} | ['goal', 'date', 'score', 'result', 'competition'] | [['1', 'november 8 , 1992', '2 - 0', '4 - 0', '1994 fifa world cup qualification'], ['2', 'november 22 , 1992', '2 - 0', '4 - 0', '1994 fifa world cup qualification'], ['3', 'december 14 , 1994', '3 - 1', '5 - 1', 'friendly'], ['4', 'october 11 , 1995', '1 - 1', '2 - 1', 'friendly'], ['5', 'january 31 , 2001', '1 - 0',... |
list of royal pains episodes | https://en.wikipedia.org/wiki/List_of_Royal_Pains_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23117208-3.html.csv | unique | only one episode of royal pains had less than 4 million viewers . | {'scope': 'all', 'row': '14', 'col': '8', 'col_other': 'n/a', 'criterion': 'less_than', 'value': '4 million', 'subset': None} | {'func': 'only', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'viewers ( millions )', '4 million'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose viewers ( millions ) record is less than 4 million .', 'tostr': 'filter_less { all_rows ; viewers ( millions ) ; 4 million }'}], 'result': True, 'ind':... | only { filter_less { all_rows ; viewers ( millions ) ; 4 million } } = true | select the rows whose viewers ( millions ) record is less than 4 million . there is only one such row in the table . | 2 | 2 | {'only_1': 1, 'result_2': 2, 'filter_less_0': 0, 'all_rows_3': 3, 'viewers (millions)_4': 4, '4 million_5': 5} | {'only_1': 'only', 'result_2': 'true', 'filter_less_0': 'filter_less', 'all_rows_3': 'all_rows', 'viewers (millions)_4': 'viewers ( millions )', '4 million_5': '4 million'} | {'only_1': [2], 'result_2': [], 'filter_less_0': [1], 'all_rows_3': [0], 'viewers (millions)_4': [0], '4 million_5': [0]} | ['no in series', 'no in season', 'title', 'directed by', 'written by', 'original air date', 'prod code', 'viewers ( millions )'] | [['13', '1', 'spasticity', 'constantine makris', 'andrew lenchewski', 'june 3 , 2010', 'rp201', '5.84'], ['14', '2', 'lovesick', 'allison liddi - brown', 'michael rauch', 'june 10 , 2010', 'rp202', '5.60'], ['15', '3', 'keeping the faith', 'dennis smith', 'jack bernstein & michael rauch', 'june 17 , 2010', 'rp203', '5.... |
list of public sector undertakings in india | https://en.wikipedia.org/wiki/List_of_public_sector_undertakings_in_India | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15221362-8.html.csv | ordinal | the second public sector in india to be incorporated was the airline allied services ltd . | {'row': '4', 'col': '3', 'order': '2', 'col_other': '2', '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', 'incorporated', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; incorporated ; 2 }'}, 'company'], 'result': 'airline allied services ltd', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; incorporated... | eq { hop { nth_argmin { all_rows ; incorporated ; 2 } ; company } ; airline allied services ltd } = true | select the row whose incorporated record of all rows is 2nd minimum . the company record of this row is airline allied services ltd . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'incorporated_5': 5, '2_6': 6, 'company_7': 7, 'airline allied services ltd_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', 'incorporated_5': 'incorporated', '2_6': '2', 'company_7': 'company', 'airline allied services ltd_8': 'airline allied services ltd'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'incorporated_5': [0], '2_6': [0], 'company_7': [1], 'airline allied services ltd_8': [2]} | ['sno', 'company', 'incorporated', 'ministry', 'sector'] | [['1', 'air india air transport services ltd', '2003', 'ministry of civil aviation', 'services'], ['2', 'air india charters', '1972', 'ministry of civil aviation', 'services'], ['3', 'air india engineering services ltd', '2006', 'ministry of civil aviation', 'enterprises under construction'], ['4', 'airline allied serv... |
toronto raptors all - time roster | https://en.wikipedia.org/wiki/Toronto_Raptors_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-10015132-7.html.csv | count | three of the players on the toronto raptors are in the position of forward , at least part of the time . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'forward', 'result': '3', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', 'forward'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to forward .', 'tostr': 'filter_eq { all_rows ; position ; forward }'}], 'result': '3', 'ind': 1, 'tostr':... | eq { count { filter_eq { all_rows ; position ; forward } } ; 3 } = true | select the rows whose position record fuzzily matches to forward . 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, 'position_5': 5, 'forward_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', 'position_5': 'position', 'forward_6': 'forward', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'position_5': [0], 'forward_6': [0], '3_7': [2]} | ['player', 'no', 'nationality', 'position', 'years in toronto', 'school / club team'] | [['sundiata gaines', '2', 'united states', 'guard', '2011', 'georgia'], ['jorge garbajosa', '15', 'spain', 'forward', '2006 - 08', 'cb mã ¡ laga ( spain )'], ['chris garner', '0', 'united states', 'guard', '1997 - 98', 'memphis'], ['rudy gay', '22', 'united states', 'forward', '2013 - present', 'connecticut'], ['dion g... |
2002 senior pga tour | https://en.wikipedia.org/wiki/2002_Senior_PGA_Tour | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11603116-4.html.csv | aggregation | the players in the 2002 senior pga tour had average earnings of 11647073 . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '11647073', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'earnings'], 'result': '11647073', 'ind': 0, 'tostr': 'avg { all_rows ; earnings }'}, '11647073'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; earnings } ; 11647073 } = true', 'tointer': 'the average of the earnings record of all row... | round_eq { avg { all_rows ; earnings } ; 11647073 } = true | the average of the earnings record of all rows is 11647073 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'earnings_4': 4, '11647073_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'earnings_4': 'earnings', '11647073_5': '11647073'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'earnings_4': [0], '11647073_5': [1]} | ['rank', 'player', 'country', 'earnings', 'wins'] | [['1', 'hale irwin', 'united states', '16950178', '36'], ['2', 'gil morgan', 'united states', '11092593', '21'], ['3', 'jim colbert', 'united states', '10840374', '20'], ['4', 'dave stockton', 'united states', '9735814', '14'], ['5', 'lee trevino', 'united states', '9616404', '29']] |
2005 - 06 toronto raptors season | https://en.wikipedia.org/wiki/2005%E2%80%9306_Toronto_Raptors_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15873014-7.html.csv | comparative | in march of the 2005 - 06 season , the toronto raptors scored more points against new york than they did against detroit . | {'row_1': '11', 'row_2': '9', 'col': '4', 'col_other': '3', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', 'new york'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team record fuzzily matches to new york .', 'tostr': 'filter_eq { all_rows ; team ; new york }'}, 'score'], 'result': None, 'ind': 2, ... | greater { hop { filter_eq { all_rows ; team ; new york } ; score } ; hop { filter_eq { all_rows ; team ; detroit } ; score } } = true | select the rows whose team record fuzzily matches to new york . take the score record of this row . select the rows whose team record fuzzily matches to detroit . take the 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_7': 7, 'new york_8': 8, 'score_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'team_11': 11, 'detroit_12': 12, '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_7': 'team', 'new york_8': 'new york', 'score_9': 'score', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'team_11': 'team', 'detroit_12': 'detr... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'team_7': [0], 'new york_8': [0], 'score_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'team_11': [1], 'detroit_12': [1], 'score_13': [3]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['57', 'march 1', 'atlanta', 'l 111 - 113 ( ot )', 'chris bosh ( 27 )', 'charlie villanueva ( 11 )', 'chris bosh ( 5 )', 'air canada centre 15137', '20 - 37'], ['58', 'march 4', 'new jersey', 'l 100 - 105 ( ot )', 'morris peterson ( 25 )', 'chris bosh , charlie villanueva ( 11 )', 'mike james ( 7 )', 'continental airl... |
lauryn williams | https://en.wikipedia.org/wiki/Lauryn_Williams | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1027162-1.html.csv | aggregation | the lauryn williams competitions have an aggregate position of about 100 m. | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '100', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'position'], 'result': '100', 'ind': 0, 'tostr': 'avg { all_rows ; position }'}, '100'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; position } ; 100 } = true', 'tointer': 'the average of the position record of all rows is 100 .'} | round_eq { avg { all_rows ; position } ; 100 } = true | the average of the position record of all rows is 100 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'position_4': 4, '100_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'position_4': 'position', '100_5': '100'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'position_4': [0], '100_5': [1]} | ['year', 'competition', 'venue', 'position', 'event', 'notes'] | [['2002', 'world junior championships', 'kingston , jamaica', '100 m', '1st', '11.33 secs'], ['2003', 'pan american games', 'santo domingo , dominican republic', '100 m', '1st', '11.12 secs'], ['2004', 'olympic games', 'athens , greece', '100 m', '2nd', '10.96 secs'], ['2004', 'world athletics final', 'monaco , monaco'... |
leonardo de souza | https://en.wikipedia.org/wiki/Leonardo_de_Souza | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27582888-1.html.csv | aggregation | leonardo de souza had an average of 14.4 races per season . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '14.4', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'races'], 'result': '14.4', 'ind': 0, 'tostr': 'avg { all_rows ; races }'}, '14.4'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; races } ; 14.4 } = true', 'tointer': 'the average of the races record of all rows is 14.4 .'} | round_eq { avg { all_rows ; races } ; 14.4 } = true | the average of the races record of all rows is 14.4 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'races_4': 4, '14.4_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'races_4': 'races', '14.4_5': '14.4'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'races_4': [0], '14.4_5': [1]} | ['season', 'series', 'team name', 'races', 'poles', 'wins', 'podiums', 'f / laps', 'points', 'final placing'] | [['2005', 'formula renault brasil', 'kemba racing', '14', '0', '0', '0', '0', '18', '21st'], ['2006', 'formula renault brasil', 'eng makers', '10', '0', '0', '0', '0', '8', '18th'], ['2008', 'formula three sudamericana', 'kemba racing', '14', '0', '0', '0', '0', '24', '8th'], ['2009', 'formula three sudamericana', 'kem... |
1979 masters tournament | https://en.wikipedia.org/wiki/1979_Masters_Tournament | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16458346-2.html.csv | ordinal | seve ballesteros placed highest in the 1979 masters tournament of players not from the united states . | {'scope': 'subset', 'row': '8', 'col': '1', 'order': '1', 'col_other': '2', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'subset': {'col': '3', 'criterion': 'not_equal', 'value': 'united states'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': [{'func': 'filter_str_not_eq', 'args': ['all_rows', 'country', 'united states'], 'result': None, 'ind': 0, 'tostr': 'filter_not_eq { all_rows ; country ; united states }', 'tointer': 'select the rows whose country record does not ma... | eq { hop { nth_argmin { filter_not_eq { all_rows ; country ; united states } ; place ; 1 } ; player } ; seve ballesteros } = true | select the rows whose country record does not match to united states . select the row whose place record of these rows is 1st minimum . the player record of this row is seve ballesteros . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'nth_argmin_1': 1, 'filter_str_not_eq_0': 0, 'all_rows_5': 5, 'country_6': 6, 'united states_7': 7, 'place_8': 8, '1_9': 9, 'player_10': 10, 'seve ballesteros_11': 11} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'nth_argmin_1': 'nth_argmin', 'filter_str_not_eq_0': 'filter_str_not_eq', 'all_rows_5': 'all_rows', 'country_6': 'country', 'united states_7': 'united states', 'place_8': 'place', '1_9': '1', 'player_10': 'player', 'seve ballesteros_11': 'seve ballester... | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'nth_argmin_1': [2], 'filter_str_not_eq_0': [1], 'all_rows_5': [0], 'country_6': [0], 'united states_7': [0], 'place_8': [1], '1_9': [1], 'player_10': [2], 'seve ballesteros_11': [3]} | ['place', 'player', 'country', 'score', 'to par'] | [['t1', 'ed sneed', 'united states', '68 + 67 = 135', '- 9'], ['t1', 'craig stadler', 'united states', '69 + 66 = 135', '- 9'], ['t3', 'raymond floyd', 'united states', '70 + 68 = 138', '- 6'], ['t3', 'leonard thompson', 'united states', '68 + 70 = 138', '- 6'], ['t5', 'miller barber', 'united states', '75 + 64 = 139',... |
1991 san diego chargers season | https://en.wikipedia.org/wiki/1991_San_Diego_Chargers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15345678-1.html.csv | comparative | in the 1991 san diego chargers season , mike heldt was selected one round before joachim weinberg . | {'row_1': '13', 'row_2': '14', 'col': '1', 'col_other': '3', 'relation': 'diff', 'record_mentioned': 'yes', 'diff_result': {'diff_value': '1', 'bigger': 'row2'}} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'diff', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'player', 'mike heldt'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record fuzzily matches to mike heldt .', 'tostr': 'filter_eq { all_rows ; pla... | and { eq { diff { hop { filter_eq { all_rows ; player ; mike heldt } ; round } ; hop { filter_eq { all_rows ; player ; joachim weinberg } ; round } } ; -1 } ; and { eq { hop { filter_eq { all_rows ; player ; mike heldt } ; round } ; 10 } ; eq { hop { filter_eq { all_rows ; player ; joachim weinberg } ; round } ; 11 } }... | select the rows whose player record fuzzily matches to mike heldt . take the round record of this row . select the rows whose player record fuzzily matches to joachim weinberg . take the round record of this row . the second record is 1 larger than the first record . the round record of the first row is 10 . the round ... | 14 | 10 | {'and_9': 9, 'result_10': 10, 'eq_5': 5, 'diff_4': 4, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_11': 11, 'player_12': 12, 'mike heldt_13': 13, 'round_14': 14, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_15': 15, 'player_16': 16, 'joachim weinberg_17': 17, 'round_18': 18, '-1_19': 19, 'and_8': 8, 'eq_6': 6, '1... | {'and_9': 'and', 'result_10': 'true', 'eq_5': 'eq', 'diff_4': 'diff', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_11': 'all_rows', 'player_12': 'player', 'mike heldt_13': 'mike heldt', 'round_14': 'round', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_15': 'all_rows', '... | {'and_9': [10], 'result_10': [], 'eq_5': [9], 'diff_4': [5], 'num_hop_2': [4, 6], 'filter_str_eq_0': [2], 'all_rows_11': [0], 'player_12': [0], 'mike heldt_13': [0], 'round_14': [2], 'num_hop_3': [4, 7], 'filter_str_eq_1': [3], 'all_rows_15': [1], 'player_16': [1], 'joachim weinberg_17': [1], 'round_18': [3], '-1_19': ... | ['round', 'pick', 'player', 'position', 'school / club team'] | [['1', '9', 'stanley richard', 'defensive back', 'texas'], ['2', '36', 'george thornton', 'defensive tackle', 'alabama'], ['2', '39', 'eric bieniemy', 'running back', 'colorado'], ['2', '47', 'eric moten', 'guard', 'michigan state'], ['4', '90', 'yancey thigpen', 'wide receiver', 'winston - salem state'], ['5', '123', ... |
nickelodeon movies | https://en.wikipedia.org/wiki/Nickelodeon_Movies | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1305286-7.html.csv | majority | most of the results for nickelodeon movies were nominations . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'nominated', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'result', 'nominated'], 'result': True, 'ind': 0, 'tointer': 'for the result records of all rows , most of them fuzzily match to nominated .', 'tostr': 'most_eq { all_rows ; result ; nominated } = true'} | most_eq { all_rows ; result ; nominated } = true | for the result records of all rows , most of them fuzzily match to nominated . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'result_3': 3, 'nominated_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'result_3': 'result', 'nominated_4': 'nominated'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'result_3': [0], 'nominated_4': [0]} | ['year', 'category', 'film', 'winner / nominee ( s )', 'result'] | [['1997', 'favorite movie actress', 'harriet the spy', "rosie o'donnell", 'nominated'], ['1999', 'favorite movie', 'the rugrats movie', 'n / a', 'won'], ['2001', 'favorite voice from an animated movie', 'rugrats in paris : the movie', 'susan sarandon', 'won'], ['2004', 'favorite voice from an animated movie', 'rugrats ... |
1922 in brazilian football | https://en.wikipedia.org/wiki/1922_in_Brazilian_football | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15389424-1.html.csv | aggregation | all of the 1922 brazilian football clubs scored a total number of 167 points . | {'scope': 'all', 'col': '3', 'type': 'sum', 'result': '167', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'points'], 'result': '167', 'ind': 0, 'tostr': 'sum { all_rows ; points }'}, '167'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; points } ; 167 } = true', 'tointer': 'the sum of the points record of all rows is 167 .'} | round_eq { sum { all_rows ; points } ; 167 } = true | the sum of the points record of all rows is 167 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'points_4': 4, '167_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'points_4': 'points', '167_5': '167'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'points_4': [0], '167_5': [1]} | ['position', 'team', 'points', 'played', 'drawn', 'lost', 'against', 'difference'] | [['1', 'corinthians', '30', '18', '2', '2', '19', '53'], ['2', 'palestra itália - sp', '29', '18', '1', '3', '24', '24'], ['3', 'sírio', '26', '18', '4', '3', '27', '17'], ['4', 'paulistano', '22', '18', '2', '6', '34', '17'], ['5', 'aa das palmeiras', '18', '18', '4', '7', '29', '8'], ['6', 'ypiranga - sp', '15', '18'... |
list of career achievements by jack nicklaus | https://en.wikipedia.org/wiki/List_of_career_achievements_by_Jack_Nicklaus | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13026799-7.html.csv | count | jack nicklaus had to participate in a playoff two times . | {'scope': 'all', 'criterion': 'equal', 'value': 'playoff', 'result': '2', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'margin of victory', 'playoff'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose margin of victory record fuzzily matches to playoff .', 'tostr': 'filter_eq { all_rows ; margin of victory ; playoff }'}], 'resul... | eq { count { filter_eq { all_rows ; margin of victory ; playoff } } ; 2 } = true | select the rows whose margin of victory record fuzzily matches to playoff . 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, 'margin of victory_5': 5, 'playoff_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', 'margin of victory_5': 'margin of victory', 'playoff_6': 'playoff', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'margin of victory_5': [0], 'playoff_6': [0], '2_7': [2]} | ['date', 'tournament', 'winning score', 'margin of victory', 'runner ( s ) - up'] | [['apr 1 , 1990', 'the tradition at desert mountain', '- 10 ( 71 + 67 + 68 = 206 )', '4 strokes', 'gary player'], ['jun 10 , 1990', 'mazda senior tournament players championship', '- 27 ( 65 + 68 + 64 + 64 = 261 )', '6 strokes', 'lee trevino'], ['apr 7 , 1991', 'the tradition at desert mountain', '- 11 ( 71 + 73 + 66 +... |
2007 - 08 charlotte bobcats season | https://en.wikipedia.org/wiki/2007%E2%80%9308_Charlotte_Bobcats_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11907963-7.html.csv | aggregation | during the 2007 - 08 charlotte bobcats season the average points scored by jason richardson in games where he was high point scorer was 31 . | {'scope': 'subset', 'col': '5', 'type': 'average', 'result': '31', 'subset': {'col': '5', 'criterion': 'fuzzily_match', 'value': 'jason richardson'}} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'high points', 'jason richardson'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; high points ; jason richardson }', 'tointer': 'select the rows whose high points record fuzzily matches to jason richardson... | round_eq { avg { filter_eq { all_rows ; high points ; jason richardson } ; high points } ; 31 } = true | select the rows whose high points record fuzzily matches to jason richardson . the average of the high points record of these rows is 31 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'avg_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'high points_5': 5, 'jason richardson_6': 6, 'high points_7': 7, '31_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'avg_1': 'avg', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'high points_5': 'high points', 'jason richardson_6': 'jason richardson', 'high points_7': 'high points', '31_8': '31'} | {'eq_2': [3], 'result_3': [], 'avg_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'high points_5': [0], 'jason richardson_6': [0], 'high points_7': [1], '31_8': [2]} | ['game', 'date', 'team', 'score', 'high points', 'high assists', 'location attendance', 'record'] | [['59', 'march 2', 'toronto', '110 - 98', 'jason richardson ( 30 )', 'raymond felton ( 8 )', 'time warner cable arena 12083', '20 - 39'], ['60', 'march 4', 'minnesota', '109 - 89', 'jason richardson ( 25 )', 'raymond felton ( 10 )', 'target center 10019', '21 - 39'], ['61', 'march 5', 'golden state', '118 - 109', 'jaso... |
list of hungarian records in swimming | https://en.wikipedia.org/wiki/List_of_Hungarian_records_in_swimming | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18473886-1.html.csv | aggregation | the average record time for hungarian swimming contenders in 50 m events is 24.41 . | {'scope': 'subset', 'col': '2', 'type': 'average', 'result': '24.41', 'subset': {'col': '1', 'criterion': 'fuzzily_match', 'value': '50 m'}} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'event', '50 m'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; event ; 50 m }', 'tointer': 'select the rows whose event record fuzzily matches to 50 m .'}, 'time'], 'result': '24.41', 'ind': 1, 'tostr': '... | round_eq { avg { filter_eq { all_rows ; event ; 50 m } ; time } ; 24.41 } = true | select the rows whose event record fuzzily matches to 50 m . the average of the time record of these rows is 24.41 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'avg_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'event_5': 5, '50 m_6': 6, 'time_7': 7, '24.41_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'avg_1': 'avg', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'event_5': 'event', '50 m_6': '50 m', 'time_7': 'time', '24.41_8': '24.41'} | {'eq_2': [3], 'result_3': [], 'avg_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'event_5': [0], '50 m_6': [0], 'time_7': [1], '24.41_8': [2]} | ['event', 'time', 'date', 'meet', 'location'] | [['50 m freestyle', '21.42', '31 july 2009', 'world championships', 'rome , italy'], ['100 m freestyle', '49.13', '27 july 2001', 'world championships', 'fukuoka , japan'], ['200 m freestyle', '1:45.78', '31 july 2009', 'world championships', 'rome , italy'], ['400 m freestyle', '3:45.68', '26 july 2009', 'world champi... |
list of manly - warringah sea eagles honours | https://en.wikipedia.org/wiki/List_of_Manly-Warringah_Sea_Eagles_honours | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12573519-8.html.csv | superlative | the manly - warringah sea eagles ' game against the melbourne storm recorded the most attendance . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '10', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '2', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'attendance'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; attendance }'}, 'opponent'], 'result': 'melbourne storm', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; attendance } ; opponent }'}, 'melbourne storm'],... | eq { hop { argmax { all_rows ; attendance } ; opponent } ; melbourne storm } = true | select the row whose attendance record of all rows is maximum . the opponent record of this row is melbourne storm . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'attendance_5': 5, 'opponent_6': 6, 'melbourne storm_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'attendance_5': 'attendance', 'opponent_6': 'opponent', 'melbourne storm_7': 'melbourne storm'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'attendance_5': [0], 'opponent_6': [1], 'melbourne storm_7': [2]} | ['year', 'opponent', 'competition', 'score', 'venue', 'attendance'] | [['1951', 'south sydney rabbitohs', 'nswrfl', '14 - 42', 'sydney sports ground', '28505'], ['1957', 'st george dragons', 'nswrfl', '9 - 31', 'sydney cricket ground', '54399'], ['1959', 'st george dragons', 'nswrfl', '0 - 20', 'sydney cricket ground', '49457'], ['1968', 'south sydney rabbitohs', 'nswrfl', '9 - 13', 'syd... |
anthony kim | https://en.wikipedia.org/wiki/Anthony_Kim | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11106562-3.html.csv | comparative | of the tournaments that anthony kim participated in , he had 1 more top 5 at the masters tournament than at the us open . | {'row_1': '1', 'row_2': '2', 'col': '3', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'tournament', 'masters tournament'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose tournament record fuzzily matches to masters tournament .', 'tostr': 'filter_eq { all_rows ; tournament ; masters tour... | greater { hop { filter_eq { all_rows ; tournament ; masters tournament } ; top - 5 } ; hop { filter_eq { all_rows ; tournament ; us open } ; top - 5 } } = true | select the rows whose tournament record fuzzily matches to masters tournament . take the top - 5 record of this row . select the rows whose tournament record fuzzily matches to us open . take the top - 5 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, 'tournament_7': 7, 'masters tournament_8': 8, 'top - 5_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'tournament_11': 11, 'us open_12': 12, 'top - 5_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', 'tournament_7': 'tournament', 'masters tournament_8': 'masters tournament', 'top - 5_9': 'top - 5', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 't... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'tournament_7': [0], 'masters tournament_8': [0], 'top - 5_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'tournament_11': [1], 'us open_12': [1], 'top - 5_13': [3]} | ['tournament', 'wins', 'top - 5', 'top - 10', 'top - 25', 'events', 'cuts made'] | [['masters tournament', '0', '1', '1', '2', '3', '2'], ['us open', '0', '0', '0', '2', '4', '4'], ['the open championship', '0', '1', '2', '2', '3', '2'], ['pga championship', '0', '0', '0', '0', '5', '3'], ['totals', '0', '2', '3', '6', '15', '11']] |
fiat albea | https://en.wikipedia.org/wiki/Fiat_Albea | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1415652-1.html.csv | unique | the fiat albea with the 1.2 8v sohc engine is the only one with 1242 cc displacement that has 2500 rpm of torque . | {'scope': 'subset', 'row': '1', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': 'at2500 rpm', 'subset': {'col': '3', 'criterion': 'equal', 'value': '1242 cc'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'displacement', '1242 cc'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; displacement ; 1242 cc }', 'tointer': 'select the rows whose displacement record fuzzily matches to ... | and { only { filter_eq { filter_eq { all_rows ; displacement ; 1242 cc } ; torque ; at2500 rpm } } ; eq { hop { filter_eq { filter_eq { all_rows ; displacement ; 1242 cc } ; torque ; at2500 rpm } ; engine } ; 1.2 8v sohc } } = true | select the rows whose displacement record fuzzily matches to 1242 cc . among these rows , select the rows whose torque record fuzzily matches to at2500 rpm . there is only one such row in the table . the engine record of this unqiue row is 1.2 8v sohc . | 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, 'displacement_8': 8, '1242 cc_9': 9, 'torque_10': 10, 'at2500 rpm_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'engine_12': 12, '1.2 8v sohc_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', 'displacement_8': 'displacement', '1242 cc_9': '1242 cc', 'torque_10': 'torque', 'at2500 rpm_11': 'at2500 rpm', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'engine_1... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_str_eq_1': [2, 3], 'filter_str_eq_0': [1], 'all_rows_7': [0], 'displacement_8': [0], '1242 cc_9': [0], 'torque_10': [1], 'at2500 rpm_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'engine_12': [3], '1.2 8v sohc_13': [4]} | ['engine', 'type', 'displacement', 'power', 'torque'] | [['1.2 8v sohc', 'i4', '1242 cc', 'at5000 rpm', 'at2500 rpm'], ['1.2 16v dohc', 'i4', '1242 cc', 'at5000 rpm', 'at4000 rpm'], ['1.4 8v sohc', 'i4', '1368 cc', 'at6000 rpm', 'at3000 rpm'], ['1.6 16v dohc', 'i4', '1596 cc', 'at5750 rpm', 'at4000 rpm'], ['1.3 16v multijet', 'i4', '1248 cc', 'at4000 rpm', 'at1500 rpm']] |
green party of british columbia | https://en.wikipedia.org/wiki/Green_Party_of_British_Columbia | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-168482-1.html.csv | superlative | the green party of british columbia achieved their highest percentage of the popular vote in 2001 . | {'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', '% of popular vote'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; % of popular vote }'}, 'election'], 'result': '2001', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; % of popular vote } ; election }'}, '2001'], 'res... | eq { hop { argmax { all_rows ; % of popular vote } ; election } ; 2001 } = true | select the row whose % of popular vote record of all rows is maximum . the election record of this row is 2001 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'num_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, '% of popular vote_5': 5, 'election_6': 6, '2001_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'num_hop_1': 'num_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', '% of popular vote_5': '% of popular vote', 'election_6': 'election', '2001_7': '2001'} | {'eq_2': [3], 'result_3': [], 'num_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], '% of popular vote_5': [0], 'election_6': [1], '2001_7': [2]} | ['election', 'candidates fielded', 'of seats won', 'total votes', '% of popular vote', 'place'] | [['1983', '4', '0', '3078', '0.19 %', '7th'], ['1986', '9', '0', '4660', '0.24 %', '5th'], ['1991', '42', '0', '12650', '0.86 %', '4th'], ['1996', '71', '0', '31511', '1.99 %', '5th'], ['2001', '72', '0', '197231', '12.39 %', '3rd'], ['2005', '79', '0', '161842', '9.17 %', '3rd'], ['2009', '85', '0', '134570', '8.21 %'... |
2004 centrix financial grand prix of denver | https://en.wikipedia.org/wiki/2004_Centrix_Financial_Grand_Prix_of_Denver | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16789804-1.html.csv | count | 18 players participated in the 2004 centrix financial grand prix of denver . | {'scope': 'all', 'criterion': 'all', 'value': 'n/a', 'result': '18', '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': '18', 'ind': 1, 'tostr': 'count { filter_all { all_rows ; name } }', 'to... | eq { count { filter_all { all_rows ; name } } ; 18 } = true | select the rows whose name record is arbitrary . the number of such rows is 18 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_all_0': 0, 'all_rows_4': 4, 'name_5': 5, '18_6': 6} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_all_0': 'filter_all', 'all_rows_4': 'all_rows', 'name_5': 'name', '18_6': '18'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_all_0': [1], 'all_rows_4': [0], 'name_5': [0], '18_6': [2]} | ['name', 'team', 'qual 1', 'qual 2', 'best'] | [['sébastien bourdais', 'newman / haas racing', '1:00.413', '59.942', '59.942'], ['bruno junqueira', 'newman / haas racing', '1:01.203', '1:00.525', '1:00.525'], ['paul tracy', 'forsythe racing', '1:00.885', '1:00.588', '1:00.588'], ['patrick carpentier', 'forsythe racing', '1:01.416', '1:00.595', '1:00.595'], ['mario ... |
list of post - secondary institutions in malaysia | https://en.wikipedia.org/wiki/List_of_post-secondary_institutions_in_Malaysia | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18144241-2.html.csv | unique | sultan abdul halim mu'adzam shah is the only post-secondary institution in malaysia to have the acronym polimas . | {'scope': 'all', 'row': '11', 'col': '3', 'col_other': '1', 'criterion': 'equal', 'value': 'polimas', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'acronym', 'polimas'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose acronym record fuzzily matches to polimas .', 'tostr': 'filter_eq { all_rows ; acronym ; polimas }'}], 'result': True, 'ind': 1, 'tostr': '... | and { only { filter_eq { all_rows ; acronym ; polimas } } ; eq { hop { filter_eq { all_rows ; acronym ; polimas } ; name in english } ; sultan abdul halim mu'adzam shah } } = true | select the rows whose acronym record fuzzily matches to polimas . there is only one such row in the table . the name in english record of this unqiue row is sultan abdul halim mu'adzam shah . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'acronym_7': 7, 'polimas_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name in english_9': 9, "sultan abdul halim mu'adzam shah_10": 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'acronym_7': 'acronym', 'polimas_8': 'polimas', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name in english_9': 'name in english', "sultan abdul halim mu'adzam shah_10": "sultan abdul halim mu'adzam s... | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'acronym_7': [0], 'polimas_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name in english_9': [2], "sultan abdul halim mu'adzam shah_10": [3]} | ['name in english', 'name in malay', 'acronym', 'foundation', 'location'] | [['alor setar professional institute', 'institut profesional alor setar', '-', '-', 'alor setar'], ['a n s technological institute , alor setar', 'institut teknologi a n s alor setar', '-', '-', 'alor setar'], ['bandar darulaman community college', 'kolej komuniti bandar darulaman', '-', '-', 'jitra'], ['daya ilmu tech... |
swimming at the 2008 summer olympics - women 's 50 metre freestyle | https://en.wikipedia.org/wiki/Swimming_at_the_2008_Summer_Olympics_%E2%80%93_Women%27s_50_metre_freestyle | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18625234-4.html.csv | comparative | kara lynn joyce had a faster swimming time than aliaksandra herasimenia . | {'row_1': '5', 'row_2': '6', 'col': '5', 'col_other': '3', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'name', 'kara lynn joyce'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose name record fuzzily matches to kara lynn joyce .', 'tostr': 'filter_eq { all_rows ; name ; kara lynn joyce }'}, 'time'], 'result':... | less { hop { filter_eq { all_rows ; name ; kara lynn joyce } ; time } ; hop { filter_eq { all_rows ; name ; aliaksandra herasimenia } ; time } } = true | select the rows whose name record fuzzily matches to kara lynn joyce . take the time record of this row . select the rows whose name record fuzzily matches to aliaksandra herasimenia . take the time 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, 'name_7': 7, 'kara lynn joyce_8': 8, 'time_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'name_11': 11, 'aliaksandra herasimenia_12': 12, 'time_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', 'name_7': 'name', 'kara lynn joyce_8': 'kara lynn joyce', 'time_9': 'time', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'name_11': 'name', 'aliaksandra ... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'name_7': [0], 'kara lynn joyce_8': [0], 'time_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'name_11': [1], 'aliaksandra herasimenia_12': [1], 'time_13': [3]} | ['rank', 'lane', 'name', 'nationality', 'time'] | [['1', '3', 'britta steffen', 'germany', '24.43'], ['2', '4', 'marleen veldhuis', 'netherlands', '24.46'], ['3', '5', 'lisbeth trickett', 'australia', '24.47'], ['4', '7', 'hinkelien schreuder', 'netherlands', '24.52'], ['5', '1', 'kara lynn joyce', 'united states', '24.63'], ['6', '8', 'aliaksandra herasimenia', 'bela... |
bill vukovich | https://en.wikipedia.org/wiki/Bill_Vukovich | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1251950-1.html.csv | count | of the times bill vukovich used an offenhauser engine , he only used a trevis chassis once . | {'scope': 'subset', 'criterion': 'equal', 'value': 'trevis', 'result': '1', 'col': '3', 'subset': {'col': '4', 'criterion': 'equal', 'value': 'offenhauser l4'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'engine', 'offenhauser l4'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; engine ; offenhauser l4 }', 'tointer': 'select the rows whose engine record fuzzily matches to offe... | eq { count { filter_eq { filter_eq { all_rows ; engine ; offenhauser l4 } ; chassis ; trevis } } ; 1 } = true | select the rows whose engine record fuzzily matches to offenhauser l4 . among these rows , select the rows whose chassis record fuzzily matches to trevis . the number of such rows is 1 . | 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, 'engine_6': 6, 'offenhauser l4_7': 7, 'chassis_8': 8, 'trevis_9': 9, '1_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', 'engine_6': 'engine', 'offenhauser l4_7': 'offenhauser l4', 'chassis_8': 'chassis', 'trevis_9': 'trevis', '1_10': '1'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'engine_6': [0], 'offenhauser l4_7': [0], 'chassis_8': [1], 'trevis_9': [1], '1_10': [3]} | ['year', 'entrant', 'chassis', 'engine', 'points'] | [['1950', 'i r c', 'maserati', 'maserati l4', '0'], ['1951', 'central excavating', 'trevis', 'offenhauser l4', '0'], ['1952', 'fuel injection', 'kurtis kraft kk500a', 'offenhauser l4', '1'], ['1953', 'fuel injection', 'kurtis kraft kk500a', 'offenhauser l4', '9'], ['1954', 'fuel injection', 'kurtis kraft kk500a', 'offe... |
1996 pga championship | https://en.wikipedia.org/wiki/1996_PGA_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18096431-2.html.csv | majority | most of the players from the united states at the 1996 pga championship had previously won in the 1980 's . | {'scope': 'subset', 'col': '3', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': '198', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'united states'}} | {'func': 'most_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 united states .'}, 'year ( s ) won', '198'], 'result': T... | most_eq { filter_eq { all_rows ; country ; united states } ; year ( s ) won ; 198 } = true | select the rows whose country record fuzzily matches to united states . for the year ( s ) won records of these rows , most of them fuzzily match to 198 . | 2 | 2 | {'most_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'country_4': 4, 'united states_5': 5, 'year (s) won_6': 6, '198_7': 7} | {'most_str_eq_1': 'most_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'country_4': 'country', 'united states_5': 'united states', 'year (s) won_6': 'year ( s ) won', '198_7': '198'} | {'most_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'country_4': [0], 'united states_5': [0], 'year (s) won_6': [1], '198_7': [1]} | ['player', 'country', 'year ( s ) won', 'total', 'to par', 'finish'] | [['steve elkington', 'australia', '1995', '278', '- 10', 't3'], ['nick price', 'zimbabwe', '1992 , 1994', '280', '- 8', 't13'], ['paul azinger', 'united states', '1993', '285', '- 3', 't29'], ['jeff sluman', 'united states', '1988', '287', '- 1', 't41'], ['wayne grady', 'australia', '1990', '291', '+ 3', 't65'], ['payn... |
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/1-15621965-2.html.csv | majority | all of the players have a nationality that is the united states . | {'scope': 'all', 'col': '3', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'united states', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'nationality', 'united states'], 'result': True, 'ind': 0, 'tointer': 'for the nationality records of all rows , all of them fuzzily match to united states .', 'tostr': 'all_eq { all_rows ; nationality ; united states } = true'} | all_eq { all_rows ; nationality ; united states } = true | for the nationality records of all rows , all of them fuzzily match to united states . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'nationality_3': 3, 'united states_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'nationality_3': 'nationality', 'united states_4': 'united states'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'nationality_3': [0], 'united states_4': [0]} | ['player', 'no', 'nationality', 'position', 'years in orlando', 'school / club team'] | [['matt barnes', '22', 'united states', 'guard - forward', '2009 - 2010', 'ucla'], ['andre barrett', '11', 'united states', 'guard', '2005', 'seton hall'], ['brandon bass', '30', 'united states', 'forward', '2009 - 2011', 'louisiana state'], ['tony battie', '4', 'united states', 'forward - center', '2004 - 2009', 'texa... |
1997 tennessee oilers season | https://en.wikipedia.org/wiki/1997_Tennessee_Oilers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15986484-2.html.csv | aggregation | in october 1997 , total attendance at tennessee oilers games was 142,040 . | {'scope': 'subset', 'col': '7', 'type': 'sum', 'result': '142040', 'subset': {'col': '2', 'criterion': 'fuzzily_match', 'value': 'october'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'october'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; date ; october }', 'tointer': 'select the rows whose date record fuzzily matches to october .'}, 'attendance'], 'result': '142040', 'ind': ... | round_eq { sum { filter_eq { all_rows ; date ; october } ; attendance } ; 142040 } = true | select the rows whose date record fuzzily matches to october . the sum of the attendance record of these rows is 142040 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'date_5': 5, 'october_6': 6, 'attendance_7': 7, '142040_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'date_5': 'date', 'october_6': 'october', 'attendance_7': 'attendance', '142040_8': '142040'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'date_5': [0], 'october_6': [0], 'attendance_7': [1], '142040_8': [2]} | ['week', 'date', 'opponent', 'result', 'record', 'location', 'attendance'] | [['1', 'august 31 , 1997', 'oakland raiders', 'w 24 - 21', '1 - 0', 'liberty bowl memorial stadium', '30171'], ['2', 'september 7 , 1997', 'miami dolphins', 'l 16 - 13', '1 - 1', 'pro player stadium', '64439'], ['3', '-', '-', '-', '-', '-', ''], ['4', 'september 21 , 1997', 'baltimore ravens', 'l 36 - 10', '1 - 2', 'l... |
sandro rosell | https://en.wikipedia.org/wiki/Sandro_Rosell | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18409089-1.html.csv | majority | the majority of sandro rosell 's signings cost more than 26 million euros . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '26', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'transfer fee ( millions )', '26'], 'result': True, 'ind': 0, 'tointer': 'for the transfer fee ( millions ) records of all rows , most of them are greater than 26 .', 'tostr': 'most_greater { all_rows ; transfer fee ( millions ) ; 26 } = true'} | most_greater { all_rows ; transfer fee ( millions ) ; 26 } = true | for the transfer fee ( millions ) records of all rows , most of them are greater than 26 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'transfer fee ( millions)_3': 3, '26_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'transfer fee ( millions)_3': 'transfer fee ( millions )', '26_4': '26'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'transfer fee ( millions)_3': [0], '26_4': [0]} | ['rank', 'player', 'from', 'transfer fee ( millions )', 'year'] | [['1', 'neymar', 'santos fc', '57.0', '2013'], ['2', 'cesc fàbregas', 'arsenal', '29 + 5 ( variables )', '2011'], ['3', 'alexis sánchez', 'udinese', '26 + 11 ( add ons )', '2011'], ['4', 'javier mascherano', 'liverpool', '26.8', '2010'], ['5', 'alex song', 'arsenal', '19.0', '2012'], ['6', 'jordi alba', 'valencia', '14... |
yorkshire county cricket club in 2008 | https://en.wikipedia.org/wiki/Yorkshire_County_Cricket_Club_in_2008 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-15893020-2.html.csv | ordinal | of the players in the yorkshire county cricket club in 2008 , tim bresnan had the second highest number of wickets . | {'row': '4', 'col': '6', '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', 'wickets', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; wickets ; 2 }'}, 'player'], 'result': 'tim bresnan', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; wickets ; 2 } ; player }'}, 'tim bresna... | eq { hop { nth_argmax { all_rows ; wickets ; 2 } ; player } ; tim bresnan } = true | select the row whose wickets record of all rows is 2nd maximum . the player record of this row is tim bresnan . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'wickets_5': 5, '2_6': 6, 'player_7': 7, 'tim bresnan_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', 'wickets_5': 'wickets', '2_6': '2', 'player_7': 'player', 'tim bresnan_8': 'tim bresnan'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'wickets_5': [0], '2_6': [0], 'player_7': [1], 'tim bresnan_8': [2]} | ['player', 'matches', 'overs', 'maidens', 'runs', 'wickets', 'average', 'economy', '5w', '10w', 'best bowling'] | [['ajmal shahzad', '1', '24.0', '6', '64', '3', '21.33', '2.67', '0', '0', '2 / 43'], ['steven patterson', '4', '99.1', '23', '280', '12', '23.33', '2.82', '0', '0', '3 / 19'], ['matthew hoggard', '13', '342.5', '66', '1037', '42', '24.69', '3.02', '1', '0', '6 / 57'], ['tim bresnan', '14', '419.0', '726', '1267', '44'... |
2007 - 08 crewe alexandra f.c. season | https://en.wikipedia.org/wiki/2007%E2%80%9308_Crewe_Alexandra_F.C._season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12964478-4.html.csv | count | all but one of the awards were given to a club in england . | {'scope': 'all', 'criterion': 'equal', 'value': 'eng', 'result': '11', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'eng'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose country record fuzzily matches to eng .', 'tostr': 'filter_eq { all_rows ; country ; eng }'}], 'result': '11', 'ind': 1, 'tostr': 'count { filt... | eq { count { filter_eq { all_rows ; country ; eng } } ; 11 } = true | select the rows whose country record fuzzily matches to eng . the number of such rows is 11 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'country_5': 5, 'eng_6': 6, '11_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'country_5': 'country', 'eng_6': 'eng', '11_7': '11'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'country_5': [0], 'eng_6': [0], '11_7': [2]} | ['date', 'country', 'name', 'award', 'notes'] | [['13 aug 2007', 'eng', 'g s roberts', 'team of the week', 'source'], ['20 aug 2007', 'eng', 'woodards', 'team of the week', 'source'], ['10 sep 2007', 'ger', 'bopp', 'team of the week', 'source'], ['24 sep 2007', 'eng', 'williams', 'team of the week', 'source'], ['1 oct 2007', 'eng', 'jones', 'team of the week', 'sour... |
list of the tudors episodes | https://en.wikipedia.org/wiki/List_of_The_Tudors_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-10413597-5.html.csv | count | dearbhla walsh directed a total of three episodes of the tudors . | {'scope': 'all', 'criterion': 'equal', 'value': 'dearbhla walsh', 'result': '3', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'directed by', 'dearbhla walsh'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose directed by record fuzzily matches to dearbhla walsh .', 'tostr': 'filter_eq { all_rows ; directed by ; dearbhla walsh }'}], 're... | eq { count { filter_eq { all_rows ; directed by ; dearbhla walsh } } ; 3 } = true | select the rows whose directed by record fuzzily matches to dearbhla walsh . 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, 'directed by_5': 5, 'dearbhla walsh_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', 'directed by_5': 'directed by', 'dearbhla walsh_6': 'dearbhla walsh', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'directed by_5': [0], 'dearbhla walsh_6': [0], '3_7': [2]} | ['no in series', 'no in season', 'title', 'setting', 'directed by', 'written by', 'us viewers ( million )', 'original air date'] | [['29', '1', 'moment of nostalgia', 'summer 1540', 'dearbhla walsh', 'michael hirst', '0.88', 'april 11 , 2010'], ['30', '2', 'sister', 'winter 1540', 'dearbhla walsh', 'michael hirst', 'n / a', 'april 18 , 2010'], ['31', '3', 'something for you', 'spring 1541', 'dearbhla walsh', 'michael hirst', 'n / a', 'april 25 , 2... |
2008 - 09 football league one | https://en.wikipedia.org/wiki/2008%E2%80%9309_Football_League_One | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-18788823-5.html.csv | unique | paul ince is the only manager whose manner of departure was signed by blackburn rovers ( mutual consent ) . | {'scope': 'all', 'row': '1', 'col': '3', 'col_other': '2', 'criterion': 'equal', 'value': 'signed by blackburn rovers ( mutual consent )', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'manner of departure', 'signed by blackburn rovers ( mutual consent )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose manner of departure record fuzzily matches to signed by blackburn rovers ( mutual consent... | and { only { filter_eq { all_rows ; manner of departure ; signed by blackburn rovers ( mutual consent ) } } ; eq { hop { filter_eq { all_rows ; manner of departure ; signed by blackburn rovers ( mutual consent ) } ; outgoing manager } ; paul ince } } = true | select the rows whose manner of departure record fuzzily matches to signed by blackburn rovers ( mutual consent ) . there is only one such row in the table . the outgoing manager record of this unqiue row is paul ince . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'manner of departure_7': 7, 'signed by blackburn rovers (mutual consent)_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'outgoing manager_9': 9, 'paul ince_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'manner of departure_7': 'manner of departure', 'signed by blackburn rovers (mutual consent)_8': 'signed by blackburn rovers ( mutual consent )', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'outgoing m... | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'manner of departure_7': [0], 'signed by blackburn rovers (mutual consent)_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'outgoing manager_9': [2], 'paul ince_10': [3]} | ['team', 'outgoing manager', 'manner of departure', 'date of vacancy', 'replaced by', 'date of appointment', 'position in table'] | [['milton keynes dons', 'paul ince', 'signed by blackburn rovers ( mutual consent )', '22 june 2008', 'roberto di matteo', '2 july 2008', 'pre - season'], ['cheltenham town', 'keith downing', 'mutual consent', '13 september 2008', 'martin allen', '15 september 2008', '24th'], ['colchester united', 'geraint williams', '... |
remittance | https://en.wikipedia.org/wiki/Remittance | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2941963-1.html.csv | unique | in terms of remittances , of the countries who had remittances over 10 in 2011 , the only time the remittance was over 50 in 2010 was when the country was india . | {'scope': 'subset', 'row': '1', 'col': '4', 'col_other': '1', 'criterion': 'greater_than', 'value': '50', 'subset': {'col': '5', 'criterion': 'greater_than', 'value': '10'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_greater', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'remittances 2011', '10'], 'result': None, 'ind': 0, 'tostr': 'filter_greater { all_rows ; remittances 2011 ; 10 }', 'tointer': 'select the rows whose remittances 2011 record is greater... | and { only { filter_greater { filter_greater { all_rows ; remittances 2011 ; 10 } ; remittances 2010 ; 50 } } ; eq { hop { filter_greater { filter_greater { all_rows ; remittances 2011 ; 10 } ; remittances 2010 ; 50 } ; country } ; india } } = true | select the rows whose remittances 2011 record is greater than 10 . among these rows , select the rows whose remittances 2010 record is greater than 50 . there is only one such row in the table . the country record of this unqiue row is india . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_greater_1': 1, 'filter_greater_0': 0, 'all_rows_7': 7, 'remittances 2011_8': 8, '10_9': 9, 'remittances 2010_10': 10, '50_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'country_12': 12, 'india_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_greater_1': 'filter_greater', 'filter_greater_0': 'filter_greater', 'all_rows_7': 'all_rows', 'remittances 2011_8': 'remittances 2011', '10_9': '10', 'remittances 2010_10': 'remittances 2010', '50_11': '50', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'co... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_greater_1': [2, 3], 'filter_greater_0': [1], 'all_rows_7': [0], 'remittances 2011_8': [0], '10_9': [0], 'remittances 2010_10': [1], '50_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'country_12': [3], 'india_13': [4]} | ['country', 'remittances 2008', 'remittances 2009', 'remittances 2010', 'remittances 2011'] | [['india', '49.98', '49.20', '53.48', '63.82'], ['china', '22.69', '22.90', '33.44', '40.48'], ['mexico', '26.04', '22.08', '22.08', '23.59'], ['philippines', '18.63', '19.73', '21.37', '22.97'], ['nigeria', '19.21', '18.37', '19.82', '20.62'], ['france', '16.28', '16.06', '16.71', '19.31'], ['egypt', '8.69', '7.15', '... |
bojana jovanovski | https://en.wikipedia.org/wiki/Bojana_Jovanovski | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18183850-8.html.csv | count | bojana jovanovski was the winner of four of the matches she played in . | {'scope': 'all', 'criterion': 'equal', 'value': 'winner', 'result': '4', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'outcome', 'winner'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose outcome record fuzzily matches to winner .', 'tostr': 'filter_eq { all_rows ; outcome ; winner }'}], 'result': '4', 'ind': 1, 'tostr': 'coun... | eq { count { filter_eq { all_rows ; outcome ; winner } } ; 4 } = true | select the rows whose outcome record fuzzily matches to winner . 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, 'outcome_5': 5, 'winner_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', 'outcome_5': 'outcome', 'winner_6': 'winner', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'outcome_5': [0], 'winner_6': [0], '4_7': [2]} | ['outcome', 'date', 'tournament', 'surface', 'opponent', 'score'] | [['winner', '7 july 2008', 'prokuplje , serbia', 'clay', 'karin morgošová', '6 - 0 , 6 - 1'], ['winner', '18 august 2008', 'vinkovci , croatia', 'clay', 'zorica petrov', '6 - 1 , 6 - 3'], ['winner', '1 september 2008', 'brčko , bosnia and herzegovina', 'clay', 'gracia radovanović', '6 - 4 , 3 - 6 , 6 - 2'], ['runner - ... |
tri - eastern conference ( ihsaa ) | https://en.wikipedia.org/wiki/Tri-Eastern_Conference_%28IHSAA%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18973139-1.html.csv | aggregation | the average size for schools in the tri-eastern conference was 408.4 . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '408.4', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'size'], 'result': '408.4', 'ind': 0, 'tostr': 'avg { all_rows ; size }'}, '408.4'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; size } ; 408.4 } = true', 'tointer': 'the average of the size record of all rows is 408.4 .'} | round_eq { avg { all_rows ; size } ; 408.4 } = true | the average of the size record of all rows is 408.4 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'size_4': 4, '408.4_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'size_4': 'size', '408.4_5': '408.4'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'size_4': [0], '408.4_5': [1]} | ['school', 'location', 'mascot', 'size', 'ihsaa class', 'county', 'year joined', 'previous conference'] | [['cambridge city lincoln', 'cambridge city', 'golden eagles', '367', 'aa', '89 wayne', '1965', 'none ( new school )'], ['centerville', 'centerville', 'bulldogs', '530', 'aa', '89 wayne', '1962', 'east central'], ['hagerstown', 'hagerstown', 'tigers', '401', 'aa', '89 wayne', '1966', 'mississinewa valley'], ['northeast... |
atlantic coast collegiate hockey league | https://en.wikipedia.org/wiki/Atlantic_Coast_Collegiate_Hockey_League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-16403890-1.html.csv | majority | the majority of the members of the atlantic coast collegiate hockey league are private institutions . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'private', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'affiliation', 'private'], 'result': True, 'ind': 0, 'tointer': 'for the affiliation records of all rows , most of them fuzzily match to private .', 'tostr': 'most_eq { all_rows ; affiliation ; private } = true'} | most_eq { all_rows ; affiliation ; private } = true | for the affiliation records of all rows , most of them fuzzily match to private . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'affiliation_3': 3, 'private_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'affiliation_3': 'affiliation', 'private_4': 'private'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'affiliation_3': [0], 'private_4': [0]} | ['institution', 'location', 'founded', 'affiliation', 'enrollment', 'team nickname', 'primary conference', 'home rink'] | [['duke university', 'durham , nc', '1838', 'private / non - sectarian', '6496', 'blue devils', 'atlantic coast conference ( d - i )', 'triangle sports plex'], ['elon university', 'elon , nc', '1889', 'private', '5225', 'phoenix', 'southern conference ( d - i )', 'triangle sports plex / greensboro ice house'], ['george... |
1994 arizona cardinals season | https://en.wikipedia.org/wiki/1994_Arizona_Cardinals_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16714815-1.html.csv | superlative | the highest attendance during the 1994 season was when the arizona cardinals played against the new york giants . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '10', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '2', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'attendance'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; attendance }'}, 'date'], 'result': 'november 13 , 1994', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; attendance } ; date }'}, 'november 13 , 1994'], '... | eq { hop { argmax { all_rows ; attendance } ; date } ; november 13 , 1994 } = true | select the row whose attendance record of all rows is maximum . the date record of this row is november 13 , 1994 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'attendance_5': 5, 'date_6': 6, 'november 13 , 1994_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'attendance_5': 'attendance', 'date_6': 'date', 'november 13 , 1994_7': 'november 13 , 1994'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'attendance_5': [0], 'date_6': [1], 'november 13 , 1994_7': [2]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 4 , 1994', 'los angeles rams', 'l 14 - 12', '32969'], ['2', 'september 11 , 1994', 'new york giants', 'l 20 - 17', '60066'], ['3', 'september 18 , 1994', 'cleveland browns', 'l 32 - 0', '62818'], ['5', 'october 2 , 1994', 'minnesota vikings', 'w 17 - 7', '67950'], ['6', 'october 9 , 1994', 'dallas cow... |
1991 - 92 seattle supersonics season | https://en.wikipedia.org/wiki/1991%E2%80%9392_Seattle_SuperSonics_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27902171-5.html.csv | unique | the seattle supersonics game on december 26 was the only one with an overtime ( ot ) . | {'scope': 'all', 'row': '12', 'col': '4', 'col_other': '2', 'criterion': 'fuzzily_match', 'value': 'ot', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'score', 'ot'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose score record fuzzily matches to ot .', 'tostr': 'filter_eq { all_rows ; score ; ot }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { al... | and { only { filter_eq { all_rows ; score ; ot } } ; eq { hop { filter_eq { all_rows ; score ; ot } ; date } ; december 26 } } = true | select the rows whose score record fuzzily matches to ot . there is only one such row in the table . the date record of this unqiue row is december 26 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'score_7': 7, 'ot_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'date_9': 9, 'december 26_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'score_7': 'score', 'ot_8': 'ot', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'date_9': 'date', 'december 26_10': 'december 26'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'score_7': [0], 'ot_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'date_9': [2], 'december 26_10': [3]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['16', 'december 3', 'washington bullets', 'w 91 - 90', 'r pierce ( 26 )', 's kemp ( 12 )', 'g payton ( 5 )', 'seattle center coliseum 10957', '9 - 7'], ['17', 'december 6', 'minnesota timberwolves', 'w 96 - 94', 'r pierce ( 29 )', 'm cage ( 23 )', 'g payton , r pierce ( 5 )', 'seattle center coliseum 9796', '10 - 7']... |
list of supernanny episodes | https://en.wikipedia.org/wiki/List_of_Supernanny_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-19897294-8.html.csv | majority | most of the supernanny episodes in the series originally aired in february . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'february', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'original air date', 'february'], 'result': True, 'ind': 0, 'tointer': 'for the original air date records of all rows , most of them fuzzily match to february .', 'tostr': 'most_eq { all_rows ; original air date ; february } = true'} | most_eq { all_rows ; original air date ; february } = true | for the original air date records of all rows , most of them fuzzily match to february . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'original air date_3': 3, 'february_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'original air date_3': 'original air date', 'february_4': 'february'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'original air date_3': [0], 'february_4': [0]} | ['no overall', 'no in series', 'family / families', 'location ( s )', 'original air date'] | [['uk30', '1', 'the hussain family and the philip family', 'leeds & dorset', '9 february 2010'], ['uk31', '2', 'the ward family and the wren family', 'blackpool & glasgow', '16 february 2010'], ['uk32', '3', 'the coughlan family and the dumbleton family', 'west london & manchester', '23 february 2010'], ['uk33', '4', '... |
1926 vfl season | https://en.wikipedia.org/wiki/1926_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10746808-5.html.csv | ordinal | the match between essendon and st. kilda had the third biggest crowd of any match . | {'row': '2', 'col': '6', 'order': '3', 'col_other': '2,3', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'crowd', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; crowd ; 3 }'}, 'home team score'], 'result': '13.7 ( 85 )', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; crowd ; 3... | and { eq { hop { nth_argmax { all_rows ; crowd ; 3 } ; home team score } ; 13.7 ( 85 ) } ; eq { hop { nth_argmax { all_rows ; crowd ; 3 } ; away team } ; st kilda } } = true | select the row whose crowd record of all rows is 3rd maximum . the home team score record of this row is 13.7 ( 85 ) . the away team record of this row is st kilda . | 7 | 6 | {'and_5': 5, 'result_6': 6, 'str_eq_2': 2, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_7': 7, 'crowd_8': 8, '3_9': 9, 'home team score_10': 10, '13.7 (85)_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'away team_12': 12, 'st kilda_13': 13} | {'and_5': 'and', 'result_6': 'true', 'str_eq_2': 'str_eq', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_7': 'all_rows', 'crowd_8': 'crowd', '3_9': '3', 'home team score_10': 'home team score', '13.7 (85)_11': '13.7 ( 85 )', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'away team_12': 'away team', 's... | {'and_5': [6], 'result_6': [], 'str_eq_2': [5], 'str_hop_1': [2], 'nth_argmax_0': [1, 3], 'all_rows_7': [0], 'crowd_8': [0], '3_9': [0], 'home team score_10': [1], '13.7 (85)_11': [2], 'str_eq_4': [5], 'str_hop_3': [4], 'away team_12': [3], 'st kilda_13': [4]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['melbourne', '19.8 ( 122 )', 'richmond', '12.17 ( 89 )', 'mcg', '28628', '29 may 1926'], ['essendon', '13.7 ( 85 )', 'st kilda', '5.8 ( 38 )', 'windy hill', '20000', '29 may 1926'], ['south melbourne', '10.15 ( 75 )', 'north melbourne', '11.7 ( 73 )', 'lake oval', '15000', '29 may 1926'], ['hawthorn', '9.13 ( 67 )', ... |
2008 in british television | https://en.wikipedia.org/wiki/2008_in_British_television | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-13549921-18.html.csv | unique | superstars is the only programme whose original channel was bbc one . | {'scope': 'all', 'row': '4', 'col': '3', 'col_other': '1', 'criterion': 'equal', 'value': 'bbc one', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'original channel', 'bbc one'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose original channel record fuzzily matches to bbc one .', 'tostr': 'filter_eq { all_rows ; original channel ; bbc one }'}], 'result':... | and { only { filter_eq { all_rows ; original channel ; bbc one } } ; eq { hop { filter_eq { all_rows ; original channel ; bbc one } ; programme } ; superstars } } = true | select the rows whose original channel record fuzzily matches to bbc one . there is only one such row in the table . the programme record of this unqiue row is superstars . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'original channel_7': 7, 'bbc one_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'programme_9': 9, 'superstars_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'original channel_7': 'original channel', 'bbc one_8': 'bbc one', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'programme_9': 'programme', 'superstars_10': 'superstars'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'original channel_7': [0], 'bbc one_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'programme_9': [2], 'superstars_10': [3]} | ['programme', 'date ( s ) of original removal', 'original channel', 'date ( s ) of return', 'new channel ( s )'] | [['mr and mrs as all star mr & mrs', '1999', 'itv', '12 april 2008', 'n / a ( same channel as original )'], ['itv news at ten', '5 march 1999 30 january 2004', 'itv', '22 january 2001 14 january 2008', 'n / a ( same channel as original )'], ['gladiators', '1 january 2000', 'itv', '11 may 2008', 'sky1'], ['superstars', ... |
list of how it 's made episodes | https://en.wikipedia.org/wiki/List_of_How_It%27s_Made_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-15187735-19.html.csv | superlative | episode 235 was the first of these episodes to have aired . | {'scope': 'all', 'col_superlative': '1', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'series ep'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; series ep }'}, 'episode'], 'result': '235', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; series ep } ; episode }'}, '235'], 'result': True, 'ind': 2, 'tostr... | eq { hop { argmin { all_rows ; series ep } ; episode } ; 235 } = true | select the row whose series ep record of all rows is minimum . the episode record of this row is 235 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'num_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'series ep_5': 5, 'episode_6': 6, '235_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'num_hop_1': 'num_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'series ep_5': 'series ep', 'episode_6': 'episode', '235_7': '235'} | {'eq_2': [3], 'result_3': [], 'num_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'series ep_5': [0], 'episode_6': [1], '235_7': [2]} | ['series ep', 'episode', 'segment a', 'segment b', 'segment c', 'segment d'] | [['19 - 01', '235', 'garden forks', 'english toffee', 'paint chip cards', 'bundt s pan'], ['19 - 02', '236', 'pewter flasks', 'potato salad', 'hydrogen s fuel cell', 'engineered wood siding'], ['19 - 03', '237', 'canvas wall s tent', 's peace pipe', 'shredded wheat cereal', 's cannon'], ['19 - 04', '238', 'ic robot ing... |
vietnam open ( badminton ) | https://en.wikipedia.org/wiki/Vietnam_Open_%28badminton%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14194250-1.html.csv | unique | 2006 was the only year that the men 's singles of the vietnam open was won by andrew smith . | {'scope': 'all', 'row': '4', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': 'andrew smith', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', "men 's singles", 'andrew smith'], 'result': None, 'ind': 0, 'tointer': "select the rows whose men 's singles record fuzzily matches to andrew smith .", 'tostr': "filter_eq { all_rows ; men 's singles ; andrew smith }"}], ... | and { only { filter_eq { all_rows ; men 's singles ; andrew smith } } ; eq { hop { filter_eq { all_rows ; men 's singles ; andrew smith } ; year } ; 2006 } } = true | select the rows whose men 's singles record fuzzily matches to andrew smith . there is only one such row in the table . the year record of this unqiue row is 2006 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, "men 's singles_7": 7, 'andrew smith_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'year_9': 9, '2006_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', "men 's singles_7": "men 's singles", 'andrew smith_8': 'andrew smith', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'year_9': 'year', '2006_10': '2006'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], "men 's singles_7": [0], 'andrew smith_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'year_9': [2], '2006_10': [3]} | ['year', "men 's singles", "women 's singles", "men 's doubles", "women 's doubles", 'mixed doubles'] | [['1996', 'nunung subandoro', 'zheng yaqiong', 'choong tan fook lee wan wah', 'peng xingyong zhang jin', 'liu yong zhang jin'], ['1997', 'chen gang', 'susi susanti', 'ricky subagja rexy mainaky', 'eliza nathanael zelin resiana', 'bambang supriyanto riseu rosalina'], ['1998 2005', 'no competition', 'no competition', 'no... |
1986 u.s. open ( golf ) | https://en.wikipedia.org/wiki/1986_U.S._Open_%28golf%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17231232-5.html.csv | aggregation | all the players of the 1986 u.s. open ( golf ) tournament had an average score of around 143 . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '143', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'score'], 'result': '143', 'ind': 0, 'tostr': 'avg { all_rows ; score }'}, '143'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; score } ; 143 } = true', 'tointer': 'the average of the score record of all rows is 143 .'} | round_eq { avg { all_rows ; score } ; 143 } = true | the average of the score record of all rows is 143 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'score_4': 4, '143_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'score_4': 'score', '143_5': '143'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'score_4': [0], '143_5': [1]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'greg norman', 'australia', '71 + 68 = 139', '1'], ['t2', 'lee trevino', 'united states', '74 + 68 = 142', '+ 2'], ['t2', 'denis watson', 'zimbabwe', '72 + 70 = 142', '+ 2'], ['t4', 'raymond floyd', 'united states', '75 + 68 = 143', '+ 3'], ['t4', 'bob tway', 'united states', '70 + 73 = 143', '+ 3'], ['t4', 'tom... |
peruvian segunda división | https://en.wikipedia.org/wiki/Peruvian_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12335018-1.html.csv | majority | the majority of the stadiums have a capacity of over 10,000 . | {'scope': 'all', 'col': '7', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '10,000', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'capacity', '10,000'], 'result': True, 'ind': 0, 'tointer': 'for the capacity records of all rows , most of them are greater than 10,000 .', 'tostr': 'most_greater { all_rows ; capacity ; 10,000 } = true'} | most_greater { all_rows ; capacity ; 10,000 } = true | for the capacity records of all rows , most of them are greater than 10,000 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'capacity_3': 3, '10,000_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'capacity_3': 'capacity', '10,000_4': '10,000'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'capacity_3': [0], '10,000_4': [0]} | ['team', 'city', 'founded', 'first season in segunda división', 'first season of current spell in segunda división', 'stadium', 'capacity', 'field', 'top division titles', 'last top division title'] | [['alfonso ugarte', 'puno', '1928', '2006', '2013', 'enrique torres belón', '20000', 'grass', '0', '-'], ['alianza universidad', 'huánuco', '1939', '2012', '2012', 'heraclio tapia', '15000', 'grass', '0', '-'], ['atlético minero', 'matucana', '1997', '2006', '2009', 'municipal de matucana', '5000', 'grass', '0', '-'], ... |
1995 wta tour | https://en.wikipedia.org/wiki/1995_WTA_Tour | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15866312-10.html.csv | count | the 1995 wta tour featured four matches on 2 october , 1995 . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': '2 october', 'result': '4', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'week of', '2 october'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose week of record fuzzily matches to 2 october .', 'tostr': 'filter_eq { all_rows ; week of ; 2 october }'}], 'result': '4', 'ind': 1, 'tost... | eq { count { filter_eq { all_rows ; week of ; 2 october } } ; 4 } = true | select the rows whose week of record fuzzily matches to 2 october . 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, 'week of_5': 5, '2 october_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', 'week of_5': 'week of', '2 october_6': '2 october', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'week of_5': [0], '2 october_6': [0], '4_7': [2]} | ['week of', 'tier', 'winner', 'runner - up', 'semi finalists'] | [['2 october', 'tier iv', 'shi - ting wang 6 - 1 , 6 - 1', 'jing - qian yi', 'tina križan annabel ellwood'], ['2 october', 'tier iv', 'petra kamstra tina križan 2 - 6 , 6 - 4 , 6 - 1', 'nana miyagi stephanie reece', 'tina križan annabel ellwood'], ['2 october', 'tier i', 'iva majoli 6 - 4 , 6 - 4', 'mary pierce', 'chan... |
1982 denver broncos season | https://en.wikipedia.org/wiki/1982_Denver_Broncos_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17928444-1.html.csv | superlative | the game on week 14 was the highest attended game in the 1982 denver broncos season . | {'scope': 'all', 'col_superlative': '7', 'row_superlative': '7', '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': '14', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; attendance } ; week }'}, '14'], 'result': True, 'ind': 2, 'tostr': 'e... | eq { hop { argmax { all_rows ; attendance } ; week } ; 14 } = true | select the row whose attendance record of all rows is maximum . the week record of this row is 14 . | 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, '14_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', '14_7': '14'} | {'eq_2': [3], 'result_3': [], 'num_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'attendance_5': [0], 'week_6': [1], '14_7': [2]} | ['week', 'date', 'opponent', 'result', 'game site', 'record', 'attendance'] | [['1', 'september 12', 'san diego chargers', 'l 3 - 23', 'mile high stadium', '0 - 1', '73564'], ['2', 'september 19', 'san francisco 49ers', 'w 24 - 21', 'mile high stadium', '1 - 1', '73899'], ['10', 'november 21', 'seattle seahawks', 'l 10 - 17', 'mile high stadium', '1 - 2', '73996'], ['11', 'november 28', 'san die... |
united states house of representatives elections , 1996 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1996 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341472-45.html.csv | unique | at the united states house of representatives elections-1996 , only one incubment from republican party retired . | {'scope': 'subset', 'row': '2', 'col': '5', 'col_other': '2', 'criterion': 'equal', 'value': 'retired', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'republican'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'party', 'republican'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; party ; republican }', 'tointer': 'select the rows whose party record fuzzily matches to republican .'},... | and { only { filter_eq { filter_eq { all_rows ; party ; republican } ; result ; retired } } ; eq { hop { filter_eq { filter_eq { all_rows ; party ; republican } ; result ; retired } ; incumbent } ; jack fields } } = true | select the rows whose party record fuzzily matches to republican . among these rows , select the rows whose result record fuzzily matches to retired . there is only one such row in the table . the incumbent record of this unqiue row is jack fields . | 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, 'party_8': 8, 'republican_9': 9, 'result_10': 10, 'retired_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'incumbent_12': 12, 'jack fields_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', 'party_8': 'party', 'republican_9': 'republican', 'result_10': 'result', 'retired_11': 'retired', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'incumbent_12': 'incumb... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_str_eq_1': [2, 3], 'filter_str_eq_0': [1], 'all_rows_7': [0], 'party_8': [0], 'republican_9': [0], 'result_10': [1], 'retired_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'incumbent_12': [3], 'jack fields_13': [4]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['texas 5', 'john bryant', 'democratic', '1982', 'retired to run for us senate republican gain', 'pete sessions ( r ) 53.07 % john pouland ( d ) 46.93 %'], ['texas 8', 'jack fields', 'republican', '1980', 'retired republican hold', 'kevin brady ( r ) 59.11 % gene fontenot ( d ) 40.89 %'], ['texas 9', 'steve stockman',... |
1960 vfl season | https://en.wikipedia.org/wiki/1960_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10775890-14.html.csv | count | in the 1960 vfl season , among the games where home team scored below 10.00 , two of them had attendance above 16,000 people . | {'scope': 'subset', 'criterion': 'greater_than', 'value': '16000', 'result': '2', 'col': '6', 'subset': {'col': '2', 'criterion': 'less_than', 'value': '10.0'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_greater', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'home team score', '10.0'], 'result': None, 'ind': 0, 'tostr': 'filter_less { all_rows ; home team score ; 10.0 }', 'tointer': 'select the rows whose home team score record is less than 10... | eq { count { filter_greater { filter_less { all_rows ; home team score ; 10.0 } ; crowd ; 16000 } } ; 2 } = true | select the rows whose home team score record is less than 10.0 . among these rows , select the rows whose crowd record is greater than 16000 . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_greater_1': 1, 'filter_less_0': 0, 'all_rows_5': 5, 'home team score_6': 6, '10.0_7': 7, 'crowd_8': 8, '16000_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_greater_1': 'filter_greater', 'filter_less_0': 'filter_less', 'all_rows_5': 'all_rows', 'home team score_6': 'home team score', '10.0_7': '10.0', 'crowd_8': 'crowd', '16000_9': '16000', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_greater_1': [2], 'filter_less_0': [1], 'all_rows_5': [0], 'home team score_6': [0], '10.0_7': [0], 'crowd_8': [1], '16000_9': [1], '2_10': [3]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['footscray', '5.9 ( 39 )', 'hawthorn', '9.21 ( 75 )', 'western oval', '16794', '30 july 1960'], ['collingwood', '9.11 ( 65 )', 'essendon', '6.9 ( 45 )', 'victoria park', '39110', '30 july 1960'], ['carlton', '10.12 ( 72 )', 'st kilda', '11.17 ( 83 )', 'princes park', '24684', '30 july 1960'], ['richmond', '9.13 ( 67 ... |
tacoma public schools | https://en.wikipedia.org/wiki/Tacoma_Public_Schools | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1414702-3.html.csv | comparative | in the tacoma public schools , the enrollment at lincoln is 1118 more than the enrollment at tacoma school of the arts . | {'row_1': '2', 'row_2': '5', 'col': '4', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'high school', 'lincoln'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose high school record fuzzily matches to lincoln .', 'tostr': 'filter_eq { all_rows ; high school ; lincoln }'}, 'enrollment'], 're... | greater { hop { filter_eq { all_rows ; high school ; lincoln } ; enrollment } ; hop { filter_eq { all_rows ; high school ; tacoma school of the arts } ; enrollment } } = true | select the rows whose high school record fuzzily matches to lincoln . take the enrollment record of this row . select the rows whose high school record fuzzily matches to tacoma school of the arts . take the enrollment 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, 'high school_7': 7, 'lincoln_8': 8, 'enrollment_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'high school_11': 11, 'tacoma school of the arts_12': 12, 'enrollment_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', 'high school_7': 'high school', 'lincoln_8': 'lincoln', 'enrollment_9': 'enrollment', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'high school_11'... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'high school_7': [0], 'lincoln_8': [0], 'enrollment_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'high school_11': [1], 'tacoma school of the arts_12': [1], 'enrollment_13': [3]} | ['high school', 'type', 'established', 'enrollment', 'mascot', 'wiaa classification', 'notes'] | [['henry foss', 'comprehensive', '1973', '1298', 'falcons', '3a', 'located in central tacoma'], ['lincoln', 'comprehensive', '1913', '1618', 'abes', '3a', 'located in east tacoma'], ['mount tahoma', 'comprehensive', '1961', '1865', 'thunderbirds', '3a', 'located in south tacoma'], ['oakland alternative', 'alternative',... |
list of counts of burgundy | https://en.wikipedia.org/wiki/List_of_counts_of_Burgundy | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1178691-9.html.csv | unique | maximilian is the only count of burgundy with 2 listed relationships with predecessor . | {'scope': 'all', 'row': '5', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': 'and', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'relationship with predecessor', 'and'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose relationship with predecessor record fuzzily matches to and .', 'tostr': 'filter_eq { all_rows ; relationship with predec... | and { only { filter_eq { all_rows ; relationship with predecessor ; and } } ; eq { hop { filter_eq { all_rows ; relationship with predecessor ; and } ; name } ; maximilian } } = true | select the rows whose relationship with predecessor record fuzzily matches to and . there is only one such row in the table . the name record of this unqiue row is maximilian . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'relationship with predecessor_7': 7, 'and_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'maximilian_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'relationship with predecessor_7': 'relationship with predecessor', 'and_8': 'and', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'maximilian_10': 'maximilian'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'relationship with predecessor_7': [0], 'and_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'maximilian_10': [3]} | ['name', 'date of birth', 'date of death', 'reign', 'relationship with predecessor'] | [['john the fearless', '28 may 1371', '10 september 1419', '16 / 21 march 1405 to 10 september 1419', 'their son'], ['philip v the good', '31 july 1396', '15 june 1467', '10 september 1419 to 15 june 1467', 'his son'], ['charles i the bold', '10 november 1433', '5 january 1477', '15 june 1467 to 5 january 1477', 'his s... |
song - hee kim | https://en.wikipedia.org/wiki/Song-Hee_Kim | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-24330912-1.html.csv | unique | the only year that song-hee kim did not make the top ten is 2007 . | {'scope': 'all', 'row': '1', 'col': '7', 'col_other': '1', 'criterion': 'equal', 'value': '0', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'top 10s', '0'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose top 10s record is equal to 0 .', 'tostr': 'filter_eq { all_rows ; top 10s ; 0 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ;... | and { only { filter_eq { all_rows ; top 10s ; 0 } } ; eq { hop { filter_eq { all_rows ; top 10s ; 0 } ; year } ; 2007 } } = true | select the rows whose top 10s record is equal to 0 . there is only one such row in the table . the year record of this unqiue row is 2007 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'top 10s_7': 7, '0_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'year_9': 9, '2007_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'top 10s_7': 'top 10s', '0_8': '0', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'year_9': 'year', '2007_10': '2007'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'top 10s_7': [0], '0_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'year_9': [2], '2007_10': [3]} | ['year', 'tournaments played', 'cuts made', 'wins', '2nd', '3rd', 'top 10s', 'best finish', 'earnings', 'money list rank', 'scoring average', 'scoring rank'] | [['2007', '19', '10', '0', '0', '0', '0', 't22', '78660', '99', '73.72', '75'], ['2008', '25', '21', '0', '2', '1', '7', '2', '980883', '14', '71.23', '10'], ['2009', '25', '23', '0', '0', '2', '12', 't3', '1032031', '11', '70.52', '8'], ['2010', '22', '22', '0', '2', '3', '15', '2', '1208698', '8', '70.21', '4'], ['20... |
nicolas lapierre | https://en.wikipedia.org/wiki/Nicolas_Lapierre | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1628448-4.html.csv | aggregation | from 2007 to 2013 , nicolas lapierre averaged 312.5 laps per race in 24 hours of le mans . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '312.5', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'laps'], 'result': '312.5', 'ind': 0, 'tostr': 'avg { all_rows ; laps }'}, '312.5'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; laps } ; 312.5 } = true', 'tointer': 'the average of the laps record of all rows is 312.5 .'} | round_eq { avg { all_rows ; laps } ; 312.5 } = true | the average of the laps record of all rows is 312.5 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'laps_4': 4, '312.5_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'laps_4': 'laps', '312.5_5': '312.5'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'laps_4': [0], '312.5_5': [1]} | ['year', 'team', 'co - drivers', 'class', 'laps', 'pos', 'class pos'] | [['2007', 'team oreca', 'stéphane ortelli soheil ayari', 'gt1', '318', '16th', '9th'], ['2009', 'team oreca - matmut aim', 'olivier panis soheil ayari', 'lmp1', '370', '5th', '5th'], ['2010', 'team oreca - matmut', 'olivier panis loïc duval', 'lmp1', '373', 'dnf', 'dnf'], ['2011', 'team oreca - matmut', 'olivier panis ... |
list of united states senators expelled or censured | https://en.wikipedia.org/wiki/List_of_United_States_senators_expelled_or_censured | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1436309-2.html.csv | ordinal | bob packwood was the 2nd us senator from oregon ever to undergo expulsion proceedings that did not lead to expulsion . | {'scope': 'subset', 'row': '17', 'col': '1', 'order': '2', 'col_other': '5', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'subset': {'col': '4', 'criterion': 'equal', 'value': 'oregon'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'state', 'oregon'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; state ; oregon }', 'tointer': 'select the rows whose state record fuzzily matches to oregon .'}, 'year', ... | eq { hop { nth_argmin { filter_eq { all_rows ; state ; oregon } ; year ; 2 } ; result } ; resigned } = true | select the rows whose state record fuzzily matches to oregon . select the row whose year record of these rows is 2nd minimum . the result record of this row is resigned . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'nth_argmin_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'state_6': 6, 'oregon_7': 7, 'year_8': 8, '2_9': 9, 'result_10': 10, 'resigned_11': 11} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'nth_argmin_1': 'nth_argmin', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'state_6': 'state', 'oregon_7': 'oregon', 'year_8': 'year', '2_9': '2', 'result_10': 'result', 'resigned_11': 'resigned'} | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'nth_argmin_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'state_6': [0], 'oregon_7': [0], 'year_8': [1], '2_9': [1], 'result_10': [2], 'resigned_11': [3]} | ['year', 'senator', 'party', 'state', 'result'] | [['1808', 'john smith', 'democrat - republican', 'ohio', 'not expelled'], ['1856', 'henry mower rice', 'democratic', 'minnesota', 'not expelled'], ['1862', 'lazarus w powell', 'democratic', 'kentucky', 'not expelled'], ['1862', 'james f simmons', 'republican', 'rhode island', 'resigned'], ['1873', 'james w patterson', ... |
2005 cologne centurions season | https://en.wikipedia.org/wiki/2005_Cologne_Centurions_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27764201-2.html.csv | count | the 2005 cologne centurions season featured an attendance of more than 10000 fans six times . | {'scope': 'all', 'criterion': 'greater_than', 'value': '10000', 'result': '6', 'col': '8', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'attendance', '10000'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose attendance record is greater than 10000 .', 'tostr': 'filter_greater { all_rows ; attendance ; 10000 }'}], 'result': '6', 'ind': 1, 'tost... | eq { count { filter_greater { all_rows ; attendance ; 10000 } } ; 6 } = true | select the rows whose attendance record is greater than 10000 . the number of such rows is 6 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_greater_0': 0, 'all_rows_4': 4, 'attendance_5': 5, '10000_6': 6, '6_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_greater_0': 'filter_greater', 'all_rows_4': 'all_rows', 'attendance_5': 'attendance', '10000_6': '10000', '6_7': '6'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_greater_0': [1], 'all_rows_4': [0], 'attendance_5': [0], '10000_6': [0], '6_7': [2]} | ['week', 'date', 'kickoff', 'opponent', 'final score', 'team record', 'game site', 'attendance'] | [['1', 'saturday , april 2', '6:00 pm', 'hamburg sea devils', 'w 24 - 23', '1 - 0', 'rheinenergiestadion', '9468'], ['2', 'sunday , april 10', '4:00 pm', 'rhein fire', 'w 23 - 10', '2 - 0', 'ltu arena', '25304'], ['3', 'saturday , april 16', '6:00 pm', 'frankfurt galaxy', 'w 23 - 14', '3 - 0', 'rheinenergiestadion', '1... |
2008 washington redskins season | https://en.wikipedia.org/wiki/2008_Washington_Redskins_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10966926-4.html.csv | unique | week 10 is the only week in the 2008 washington redskins season where there was no game . | {'scope': 'all', 'row': '10', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': '-', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'date', '-'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record is equal to - .', 'tostr': 'filter_eq { all_rows ; date ; - }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; date ; -... | and { only { filter_eq { all_rows ; date ; - } } ; eq { hop { filter_eq { all_rows ; date ; - } ; week } ; 10 } } = true | select the rows whose date record is equal to - . there is only one such row in the table . the week record of this unqiue row is 10 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'date_7': 7, '-_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'week_9': 9, '10_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'date_7': 'date', '-_8': '-', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'week_9': 'week', '10_10': '10'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'date_7': [0], '-_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'week_9': [2], '10_10': [3]} | ['week', 'date', 'opponent', 'time ( et )', 'result', 'game site', 'record', 'match report'] | [['1', 'september 4 , 2008', 'new york giants', '7:00', 'l 7 - 16', 'giants stadium', '0 - 1', 'recap'], ['2', 'september 14 , 2008', 'new orleans saints', '1:00', 'w 29 - 24', 'fedex field', '1 - 1', 'recap'], ['3', 'september 21 , 2008', 'arizona cardinals', '1:00', 'w 24 - 17', 'fedex field', '2 - 1', 'recap'], ['4'... |
fabio fognini | https://en.wikipedia.org/wiki/Fabio_Fognini | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11983898-4.html.csv | count | of the tournaments that fabio fognini participated in , four of them were on a clay surface . | {'scope': 'all', 'criterion': 'equal', 'value': 'clay', 'result': '4', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'surface', 'clay'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose surface record fuzzily matches to clay .', 'tostr': 'filter_eq { all_rows ; surface ; clay }'}], 'result': '4', 'ind': 1, 'tostr': 'count { fi... | eq { count { filter_eq { all_rows ; surface ; clay } } ; 4 } = true | select the rows whose surface record fuzzily matches to clay . 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, 'surface_5': 5, 'clay_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', 'surface_5': 'surface', 'clay_6': 'clay', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'surface_5': [0], 'clay_6': [0], '4_7': [2]} | ['outcome', 'date', 'tournament', 'surface', 'opponent in the final', 'score in the final'] | [['runner - up', '29 april 2012', 'brd năstase ţiriac trophy , bucharest , romania', 'clay', 'gilles simon', '4 - 6 , 3 - 6'], ['runner - up', '23 september 2012', 'st petersburg open , st petersburg , russia', 'hard ( i )', 'martin kližan', '2 - 6 , 3 - 6'], ['winner', '14 july 2013', 'stuttgart open , stuttgart , ger... |
lard | https://en.wikipedia.org/wiki/Lard | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-18621997-1.html.csv | unique | only suet has a polyunsaturated fat level of less that 10 % . | {'scope': 'all', 'row': '10', 'col': '5', 'col_other': '1', 'criterion': 'less_than', 'value': '10 %', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'polyunsaturated fat', '10 %'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose polyunsaturated fat record is less than 10 % .', 'tostr': 'filter_less { all_rows ; polyunsaturated fat ; 10 % }'}], 'result': True,... | and { only { filter_less { all_rows ; polyunsaturated fat ; 10 % } } ; eq { hop { filter_less { all_rows ; polyunsaturated fat ; 10 % } ; } ; suet } } = true | select the rows whose polyunsaturated fat record is less than 10 % . there is only one such row in the table . the record of this unqiue row is suet . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_less_0': 0, 'all_rows_6': 6, 'polyunsaturated fat_7': 7, '10%_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, '_9': 9, 'suet_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_less_0': 'filter_less', 'all_rows_6': 'all_rows', 'polyunsaturated fat_7': 'polyunsaturated fat', '10%_8': '10 %', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', '_9': '', 'suet_10': 'suet'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_less_0': [1, 2], 'all_rows_6': [0], 'polyunsaturated fat_7': [0], '10%_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], '_9': [2], 'suet_10': [3]} | ['', 'total fat', 'saturated fat', 'monounsaturated fat', 'polyunsaturated fat', 'smoke point'] | [['sunflower oil', '100 g', '11 g', '20 g ( 84 g in high oleic variety )', '69 g ( 4 g in high oleic variety )', 'degree'], ['soybean oil', '100 g', '16 g', '23 g', '58 g', 'degree'], ['canola oil', '100 g', '7 g', '63 g', '28 g', 'degree'], ['olive oil', '100 g', '14 g', '73 g', '11 g', 'degree'], ['corn oil', '100 g'... |
tomomi manako | https://en.wikipedia.org/wiki/Tomomi_Manako | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12907958-2.html.csv | aggregation | when tonomi manako 's team was honda , his total number of wins is 6 . | {'scope': 'subset', 'col': '6', 'type': 'sum', 'result': '6', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'honda'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', 'honda'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; team ; honda }', 'tointer': 'select the rows whose team record fuzzily matches to honda .'}, 'wins'], 'result': '6', 'ind': 1, 'tostr': 'sum ... | round_eq { sum { filter_eq { all_rows ; team ; honda } ; wins } ; 6 } = true | select the rows whose team record fuzzily matches to honda . the sum of the wins record of these rows is 6 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'team_5': 5, 'honda_6': 6, 'wins_7': 7, '6_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'team_5': 'team', 'honda_6': 'honda', 'wins_7': 'wins', '6_8': '6'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'team_5': [0], 'honda_6': [0], 'wins_7': [1], '6_8': [2]} | ['year', 'class', 'team', 'points', 'rank', 'wins'] | [['1994', '125cc', 'honda', '24', '20th', '0'], ['1995', '125cc', 'honda', '102', '8th', '0'], ['1996', '125cc', 'honda', '167', '3rd', '1'], ['1997', '125cc', 'honda', '190', '3rd', '0'], ['1998', '125cc', 'honda', '217', '2nd', '5'], ['1999', '250cc', 'yamaha', '52', '15th', '0']] |
1983 - 84 north west counties football league | https://en.wikipedia.org/wiki/1983%E2%80%9384_North_West_Counties_Football_League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17718005-2.html.csv | majority | most of the teams in the 1983 – 84 north west counties football league had points under 40 . | {'scope': 'all', 'col': '9', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '40', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'points 1', '40'], 'result': True, 'ind': 0, 'tointer': 'for the points 1 records of all rows , most of them are less than 40 .', 'tostr': 'most_less { all_rows ; points 1 ; 40 } = true'} | most_less { all_rows ; points 1 ; 40 } = true | for the points 1 records of all rows , most of them are less than 40 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'points 1_3': 3, '40_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'points 1_3': 'points 1', '40_4': '40'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'points 1_3': [0], '40_4': [0]} | ['position', 'team', 'played', 'drawn', 'lost', 'goals for', 'goals against', 'goal difference', 'points 1'] | [['1', 'fleetwood town', '34', '8', '2', '73', '24', '+ 49', '56'], ['2', 'eastwood hanley', '34', '6', '7', '69', '35', '+ 34', '48'], ['3', 'irlam town', '34', '8', '7', '67', '41', '+ 26', '46'], ['4', 'warrington town', '34', '7', '9', '65', '45', '+ 20', '43'], ['5', 'droylsden', '34', '5', '10', '59', '42', '+ 17... |
list of game of the year awards | https://en.wikipedia.org/wiki/List_of_Game_of_the_Year_awards | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1851722-10.html.csv | count | a total of three game of the year winners are available on the playstation 3 platform . | {'scope': 'all', 'criterion': 'equal', 'value': 'playstation 3', 'result': '3', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'platform ( s )', 'playstation 3'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose platform ( s ) record fuzzily matches to playstation 3 .', 'tostr': 'filter_eq { all_rows ; platform ( s ) ; playstation 3 }'}... | eq { count { filter_eq { all_rows ; platform ( s ) ; playstation 3 } } ; 3 } = true | select the rows whose platform ( s ) record fuzzily matches to playstation 3 . 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, 'platform (s)_5': 5, 'playstation 3_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', 'platform (s)_5': 'platform ( s )', 'playstation 3_6': 'playstation 3', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'platform (s)_5': [0], 'playstation 3_6': [0], '3_7': [2]} | ['year', 'game', 'genre', 'platform ( s )', 'developer ( s )'] | [['2003', 'the legend of zelda : the wind waker', 'action - adventure : open world', 'nintendo gamecube', 'nintendo ead'], ['2009', "demon 's souls", 'action rpg : hack & slash', 'playstation 3', 'from software'], ['2010', 'super mario galaxy 2', 'platformer', 'wii', 'nintendo ead'], ['2011', 'dead space 2', 'survival ... |
2010 veikkausliiga | https://en.wikipedia.org/wiki/2010_Veikkausliiga | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-25129482-1.html.csv | count | three of the veikkausliiga stadiums can seat more than 10000 fans . | {'scope': 'all', 'criterion': 'greater_than', 'value': '10000', 'result': '3', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'capacity', '10000'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose capacity record is greater than 10000 .', 'tostr': 'filter_greater { all_rows ; capacity ; 10000 }'}], 'result': '3', 'ind': 1, 'tostr': 'c... | eq { count { filter_greater { all_rows ; capacity ; 10000 } } ; 3 } = true | select the rows whose capacity record is greater than 10000 . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_greater_0': 0, 'all_rows_4': 4, 'capacity_5': 5, '10000_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_greater_0': 'filter_greater', 'all_rows_4': 'all_rows', 'capacity_5': 'capacity', '10000_6': '10000', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_greater_0': [1], 'all_rows_4': [0], 'capacity_5': [0], '10000_6': [0], '3_7': [2]} | ['club', 'location', 'stadium', 'capacity', 'manager', 'kitmaker'] | [['ac oulu', 'oulu', 'castrén', '4000', 'juha malinen', 'umbro'], ['fc honka', 'espoo', 'tapiolan urheilupuisto', '6000', 'mika lehkosuo', 'kappa'], ['fc inter', 'turku', 'veritas stadion', '9372', 'job dragtsma', 'nike'], ['fc lahti', 'lahti', 'lahden stadion', '15000', 'ilkka mäkelä', 'umbro'], ['ff jaro', 'jakobstad... |
2003 - 04 primeira liga | https://en.wikipedia.org/wiki/2003%E2%80%9304_Primeira_Liga | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-17933600-2.html.csv | majority | the majority of coaching vacancies for the 03-04 primeira liga were due to coaches being sacked . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'sacked', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'manner', 'sacked'], 'result': True, 'ind': 0, 'tointer': 'for the manner records of all rows , most of them fuzzily match to sacked .', 'tostr': 'most_eq { all_rows ; manner ; sacked } = true'} | most_eq { all_rows ; manner ; sacked } = true | for the manner records of all rows , most of them fuzzily match to sacked . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'manner_3': 3, 'sacked_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'manner_3': 'manner', 'sacked_4': 'sacked'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'manner_3': [0], 'sacked_4': [0]} | ['team', 'outgoing manage', 'manner', 'date of vacancy', 'incoming manager', 'date of appointment'] | [['académica de coimbra', 'artur jorge', 'resigned', '28 august 2003', 'vítor oliveira', '28 august 2003'], ['vitória de guimarães', 'augusto inácio', 'sacked', '8 december 2003', 'jorge jesus', '8 december 2003'], ['paços de ferreira', 'josé gomes', 'mutual consent', '21 october 2003', 'josé mota', '22 october 2003'],... |
1985 pga tour | https://en.wikipedia.org/wiki/1985_PGA_Tour | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14640372-3.html.csv | count | in the 1985 pga tour , there were two golfers ranked in the top five that had two wins . | {'scope': 'all', 'criterion': 'equal', 'value': '2', 'result': '2', 'col': '6', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'wins', '2'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose wins record is equal to 2 .', 'tostr': 'filter_eq { all_rows ; wins ; 2 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; wins ; 2... | eq { count { filter_eq { all_rows ; wins ; 2 } } ; 2 } = true | select the rows whose wins record is equal to 2 . 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, 'wins_5': 5, '2_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'wins_5': 'wins', '2_6': '2', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'wins_5': [0], '2_6': [0], '2_7': [2]} | ['rank', 'player', 'country', 'earnings', 'events', 'wins'] | [['1', 'curtis strange', 'united states', '542321', '25', '3'], ['2', 'lanny wadkins', 'united states', '446893', '24', '3'], ['3', 'calvin peete', 'united states', '384489', '22', '2'], ['4', 'jim thorpe', 'united states', '379091', '28', '2'], ['5', 'raymond floyd', 'united states', '378989', '22', '1']] |
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