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h. f. stephens | https://en.wikipedia.org/wiki/H._F._Stephens | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1152298-2.html.csv | comparative | the earl of mount edgcumbe model locomotive that was designed by h. f. stephens was built earlier than the pyramus model . | {'row_1': '5', 'row_2': '7', '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', 'loco name', 'earl of mount edgcumbe'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose loco name record fuzzily matches to earl of mount edgcumbe .', 'tostr': 'filter_eq { all_rows ; loco name ; earl of mo... | less { hop { filter_eq { all_rows ; loco name ; earl of mount edgcumbe } ; build date } ; hop { filter_eq { all_rows ; loco name ; pyramus } ; build date } } = true | select the rows whose loco name record fuzzily matches to earl of mount edgcumbe . take the build date record of this row . select the rows whose loco name record fuzzily matches to pyramus . take the build date 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, 'loco name_7': 7, 'earl of mount edgcumbe_8': 8, 'build date_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'loco name_11': 11, 'pyramus_12': 12, 'build date_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', 'loco name_7': 'loco name', 'earl of mount edgcumbe_8': 'earl of mount edgcumbe', 'build date_9': 'build date', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_row... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'loco name_7': [0], 'earl of mount edgcumbe_8': [0], 'build date_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'loco name_11': [1], 'pyramus_12': [1], 'build date_13': [3]} | ['railway', 'loco name', 'build date', 'wheels', 'disposal'] | [['kesr', 'tenterden', '1900', '2 - 4 - 0 t', 'scrapped 1941'], ['kesr', 'rolvenden', '1900', '2 - 4 - 0 t', 'scrapped 1941'], ['kesr', 'hecate', '1904', '0 - 8 - 0 t', 'to sr and br'], ['pdswjr', 'a s harris', '1907', '0 - 6 - 0 t', 'to sr and br'], ['pdswjr', 'earl of mount edgcumbe', '1907', '0 - 6 - 2 t', 'to sr an... |
1997 european judo championships | https://en.wikipedia.org/wiki/1997_European_Judo_Championships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11755180-3.html.csv | count | seven nations managed to win only one total medal . | {'scope': 'all', 'criterion': 'equal', 'value': '1', 'result': '7', 'col': '6', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'total', '1'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose total record is equal to 1 .', 'tostr': 'filter_eq { all_rows ; total ; 1 }'}], 'result': '7', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; total... | eq { count { filter_eq { all_rows ; total ; 1 } } ; 7 } = true | select the rows whose total record is equal to 1 . the number of such rows is 7 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'total_5': 5, '1_6': 6, '7_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'total_5': 'total', '1_6': '1', '7_7': '7'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'total_5': [0], '1_6': [0], '7_7': [2]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'belgium', '6', '0', '3', '9'], ['2 =', 'germany', '2', '2', '2', '7'], ['2 =', 'netherlands', '2', '2', '2', '6'], ['4', 'turkey', '2', '0', '1', '3'], ['5', 'france', '1', '3', '6', '10'], ['6', 'belarus', '1', '2', '1', '4'], ['7', 'georgia', '1', '1', '0', '2'], ['8', 'poland', '1', '0', '4', '5'], ['9', 'gr... |
rowing at the 2008 summer olympics - women 's single sculls | https://en.wikipedia.org/wiki/Rowing_at_the_2008_Summer_Olympics_%E2%80%93_Women%27s_single_sculls | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18662695-9.html.csv | unique | latt shwe zin was the only participant from myanmar in the 2008 summer olympics - women 's single sculls . | {'scope': 'all', 'row': '6', 'col': '3', 'col_other': '2', 'criterion': 'equal', 'value': 'myanmar', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'myanmar'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose country record fuzzily matches to myanmar .', 'tostr': 'filter_eq { all_rows ; country ; myanmar }'}], 'result': True, 'ind': 1, 'tostr': '... | and { only { filter_eq { all_rows ; country ; myanmar } } ; eq { hop { filter_eq { all_rows ; country ; myanmar } ; athlete } ; latt shwe zin } } = true | select the rows whose country record fuzzily matches to myanmar . there is only one such row in the table . the athlete record of this unqiue row is latt shwe zin . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'country_7': 7, 'myanmar_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'athlete_9': 9, 'latt shwe zin_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'country_7': 'country', 'myanmar_8': 'myanmar', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'athlete_9': 'athlete', 'latt shwe zin_10': 'latt shwe zin'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'country_7': [0], 'myanmar_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'athlete_9': [2], 'latt shwe zin_10': [3]} | ['rank', 'athlete', 'country', 'time', 'notes'] | [['1', 'miroslava knapková', 'czech republic', '7:30.33', 'sa / b'], ['2', 'sophie balmary', 'france', '7:37.01', 'sa / b'], ['3', 'iva obradović', 'serbia', '7:39.16', 'sa / b'], ['4', 'mayra gonzález', 'cuba', '7:45.75', 'sc / d'], ['5', 'camila vargas', 'el salvador', '8:11.79', 'sc / d'], ['6', 'latt shwe zin', 'my... |
german submarine u - 137 ( 1940 ) | https://en.wikipedia.org/wiki/German_submarine_U-137_%281940%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18914307-1.html.csv | comparative | in the german submarine u-137 in 1940 , the ashantian weighed 1125 less than the manchester brigade . | {'row_1': '1', 'row_2': '2', 'col': '4', 'col_other': '2', 'relation': 'diff', 'record_mentioned': 'no', 'diff_result': {'diff_value': '1125', 'bigger': 'row2'}} | {'func': 'eq', 'args': [{'func': 'diff', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'ship name', 'ashantian'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose ship name record fuzzily matches to ashantian .', 'tostr': 'filter_eq { all_rows ; ship name ; ashantian }'... | eq { diff { hop { filter_eq { all_rows ; ship name ; ashantian } ; tonnage ( grt ) } ; hop { filter_eq { all_rows ; ship name ; manchester brigade } ; tonnage ( grt ) } } ; -1125 } = true | select the rows whose ship name record fuzzily matches to ashantian . take the tonnage ( grt ) record of this row . select the rows whose ship name record fuzzily matches to manchester brigade . take the tonnage ( grt ) record of this row . the second record is 1125 larger than the first record . | 6 | 6 | {'eq_5': 5, 'result_6': 6, 'diff_4': 4, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'ship name_8': 8, 'ashantian_9': 9, 'tonnage ( grt )_10': 10, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_11': 11, 'ship name_12': 12, 'manchester brigade_13': 13, 'tonnage ( grt )_14': 14, '-1125_15': 15} | {'eq_5': 'eq', 'result_6': 'true', 'diff_4': 'diff', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'ship name_8': 'ship name', 'ashantian_9': 'ashantian', 'tonnage ( grt )_10': 'tonnage ( grt )', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_11': 'all_rows... | {'eq_5': [6], 'result_6': [], 'diff_4': [5], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_7': [0], 'ship name_8': [0], 'ashantian_9': [0], 'tonnage ( grt )_10': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_11': [1], 'ship name_12': [1], 'manchester brigade_13': [1], 'tonnage ( grt )_14': [3], '-1125_... | ['date', 'ship name', 'flag', 'tonnage ( grt )', 'fate', 'deaths'] | [['26 september 1940', 'ashantian', 'great britain', '4917', 'damaged', '4'], ['26 september 1940', 'manchester brigade', 'great britain', '6042', 'sunk', '56'], ['26 september 1940', 'stratford', 'great britain', '4753', 'sunk', '2'], ['14 october 1940', 'hms cheshire', 'great britain', '10552', 'damaged', '0'], ['13 ... |
florida collegiate summer league | https://en.wikipedia.org/wiki/Florida_Collegiate_Summer_League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-18373863-2.html.csv | comparative | alan farina played in the summer league before kent matthes . | {'row_1': '4', 'row_2': '8', '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', 'player', 'alan farina'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record fuzzily matches to alan farina .', 'tostr': 'filter_eq { all_rows ; player ; alan farina }'}, 'years played'], 'result... | less { hop { filter_eq { all_rows ; player ; alan farina } ; years played } ; hop { filter_eq { all_rows ; player ; kent matthes } ; years played } } = true | select the rows whose player record fuzzily matches to alan farina . take the years played record of this row . select the rows whose player record fuzzily matches to kent matthes . take the years played 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, 'player_7': 7, 'alan farina_8': 8, 'years played_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'player_11': 11, 'kent matthes_12': 12, 'years played_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', 'player_7': 'player', 'alan farina_8': 'alan farina', 'years played_9': 'years played', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'player_11': 'player... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'player_7': [0], 'alan farina_8': [0], 'years played_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'player_11': [1], 'kent matthes_12': [1], 'years played_13': [3]} | ['player', 'fcsl team', 'years played', 'year drafted', 'round', 'mlb team'] | [['mike mcclendon', 'winter park', '2006', '2006', '10th', 'milwaukee brewers'], ['corey brown', 'orlando shockers', '2006', '2007', '1st', 'oakland athletics'], ['jonathan lucroy', 'sanford', '2005 06', '2007', '3rd', 'milwaukee brewers'], ['alan farina', 'orlando shockers', '2005', '2007', '3rd', 'toronto blue jays']... |
1939 vfl season | https://en.wikipedia.org/wiki/1939_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10806852-7.html.csv | unique | the game at corio oval was the only game with a crowd of less than 10,000 . | {'scope': 'all', 'row': '1', 'col': '6', 'col_other': '5', 'criterion': 'less_than', 'value': '10000', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'crowd', '10000'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose crowd record is less than 10000 .', 'tostr': 'filter_less { all_rows ; crowd ; 10000 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_less... | and { only { filter_less { all_rows ; crowd ; 10000 } } ; eq { hop { filter_less { all_rows ; crowd ; 10000 } ; venue } ; corio oval } } = true | select the rows whose crowd record is less than 10000 . there is only one such row in the table . the venue record of this unqiue row is corio oval . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_less_0': 0, 'all_rows_6': 6, 'crowd_7': 7, '10000_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'venue_9': 9, 'corio oval_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_less_0': 'filter_less', 'all_rows_6': 'all_rows', 'crowd_7': 'crowd', '10000_8': '10000', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'venue_9': 'venue', 'corio oval_10': 'corio oval'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_less_0': [1, 2], 'all_rows_6': [0], 'crowd_7': [0], '10000_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'venue_9': [2], 'corio oval_10': [3]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['geelong', '17.13 ( 115 )', 'north melbourne', '14.13 ( 97 )', 'corio oval', '8000', '3 june 1939'], ['fitzroy', '14.15 ( 99 )', 'melbourne', '18.14 ( 122 )', 'brunswick street oval', '11000', '3 june 1939'], ['south melbourne', '8.14 ( 62 )', 'st kilda', '13.17 ( 95 )', 'lake oval', '15000', '3 june 1939'], ['hawtho... |
1966 u.s. open ( golf ) | https://en.wikipedia.org/wiki/1966_U.S._Open_%28golf%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17277136-5.html.csv | ordinal | in the 1966 u.s. open , the second lowest number of strokes was by billy casper . | {'row': '2', 'col': '4', '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', 'score', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; score ; 2 }'}, 'player'], 'result': 'billy casper', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; score ; 2 } ; player }'}, 'billy casper'],... | eq { hop { nth_argmin { all_rows ; score ; 2 } ; player } ; billy casper } = true | select the row whose score record of all rows is 2nd minimum . the player record of this row is billy casper . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'score_5': 5, '2_6': 6, 'player_7': 7, 'billy casper_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', 'score_5': 'score', '2_6': '2', 'player_7': 'player', 'billy casper_8': 'billy casper'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'score_5': [0], '2_6': [0], 'player_7': [1], 'billy casper_8': [2]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'arnold palmer', 'united states', '71 + 66 + 70 = 207', '3'], ['2', 'billy casper', 'united states', '69 + 68 + 73 = 210', 'e'], ['3', 'jack nicklaus', 'united states', '71 + 71 + 69 = 211', '+ 1'], ['t4', 'phil rodgers', 'united states', '70 + 70 + 73 = 213', '+ 3'], ['t4', 'dave marr', 'united states', '71 + 7... |
chad little | https://en.wikipedia.org/wiki/Chad_Little | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1875157-2.html.csv | count | for 2 straight years , chad little managed to have 26 starts . | {'scope': 'all', 'criterion': 'equal', 'value': '26', 'result': '2', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'starts', '26'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose starts record is equal to 26 .', 'tostr': 'filter_eq { all_rows ; starts ; 26 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ;... | eq { count { filter_eq { all_rows ; starts ; 26 } } ; 2 } = true | select the rows whose starts record is equal to 26 . 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, 'starts_5': 5, '26_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'starts_5': 'starts', '26_6': '26', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'starts_5': [0], '26_6': [0], '2_7': [2]} | ['year', 'starts', 'wins', 'top 5', 'top 10', 'poles', 'avg start', 'avg finish', 'winnings', 'position'] | [['1992', '1', '0', '0', '0', '0', '29.0', '29.0', '1400', '120th'], ['1993', '12', '0', '2', '3', '0', '22.1', '22.6', '56508', '32nd'], ['1994', '28', '0', '10', '14', '0', '21.0', '11.9', '234022', '3rd'], ['1995', '26', '6', '11', '13', '0', '15.5', '14.5', '529056', '2nd'], ['1996', '26', '0', '2', '7', '1', '15.3... |
list of notre dame fighting irish starting quarterbacks | https://en.wikipedia.org/wiki/List_of_Notre_Dame_Fighting_Irish_starting_quarterbacks | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14389782-3.html.csv | unique | for notre dame fighting irish starting quarterbacks , of those with over 30 starts , the only one with exactly 17 losses was brady quinn . | {'scope': 'subset', 'row': '2', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': '17', 'subset': {'col': '3', 'criterion': 'greater_than', 'value': '30'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'starts', '30'], 'result': None, 'ind': 0, 'tostr': 'filter_greater { all_rows ; starts ; 30 }', 'tointer': 'select the rows whose starts record is greater than 30 .'}, 'losses', '17'], 'res... | and { only { filter_eq { filter_greater { all_rows ; starts ; 30 } ; losses ; 17 } } ; eq { hop { filter_eq { filter_greater { all_rows ; starts ; 30 } ; losses ; 17 } ; name } ; brady quinn } } = true | select the rows whose starts record is greater than 30 . among these rows , select the rows whose losses record is equal to 17 . there is only one such row in the table . the name record of this unqiue row is brady quinn . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_eq_1': 1, 'filter_greater_0': 0, 'all_rows_7': 7, 'starts_8': 8, '30_9': 9, 'losses_10': 10, '17_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'name_12': 12, 'brady quinn_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_eq_1': 'filter_eq', 'filter_greater_0': 'filter_greater', 'all_rows_7': 'all_rows', 'starts_8': 'starts', '30_9': '30', 'losses_10': 'losses', '17_11': '17', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'name_12': 'name', 'brady quinn_13': 'brady quinn'} | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_eq_1': [2, 3], 'filter_greater_0': [1], 'all_rows_7': [0], 'starts_8': [0], '30_9': [0], 'losses_10': [1], '17_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'name_12': [3], 'brady quinn_13': [4]} | ['name', 'period', 'starts', 'wins', 'losses', 'ties', 'win %'] | [['ron powlus', '1994 - 1997', '46', '29', '16', '1', '641'], ['brady quinn', '2003 - 2006', '46', '29', '17', '0', '630'], ['steve beuerlein', '1983 - 1986', '39', '21', '18', '1', '538'], ['rick mirer', '1990 - 1992', '36', '28', '7', '1', '792'], ['tom clements', '1972 - 1974', '34', '29', '5', '0', '853'], ['jimmy ... |
two miles | https://en.wikipedia.org/wiki/Two_miles | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18390957-5.html.csv | unique | mike ryan was the only athlete to run two miles out of santa clara , california . | {'scope': 'all', 'row': '1', 'col': '4', 'col_other': '2', 'criterion': 'equal', 'value': 'santa clara , california', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'city', 'santa clara , california'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose city record fuzzily matches to santa clara , california .', 'tostr': 'filter_eq { all_rows ; city ; santa clara , california ... | and { only { filter_eq { all_rows ; city ; santa clara , california } } ; eq { hop { filter_eq { all_rows ; city ; santa clara , california } ; athlete } ; mike ryan } } = true | select the rows whose city record fuzzily matches to santa clara , california . there is only one such row in the table . the athlete record of this unqiue row is mike ryan . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'city_7': 7, 'santa clara, california_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'athlete_9': 9, 'mike ryan_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'city_7': 'city', 'santa clara, california_8': 'santa clara , california', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'athlete_9': 'athlete', 'mike ryan_10': 'mike ryan'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'city_7': [0], 'santa clara, california_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'athlete_9': [2], 'mike ryan_10': [3]} | ['time', 'athlete', 'school', 'city', 'date'] | [['8:57.8', 'mike ryan', 'wilcox high school', 'santa clara , california', '1965'], ['8:48.3', 'rick riley', 'ferris high school', 'spokane , washington', 'may 28 , 1966'], ['8:41.5', 'steve prefontaine', 'marshfield high school', 'coos bay , oregon', 'april 25 , 1969'], ['8:40.9', 'craig virgin', 'lebanon high school'... |
list of the bellflower bunnies episodes | https://en.wikipedia.org/wiki/List_of_The_Bellflower_Bunnies_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-16425614-3.html.csv | majority | the majority of bellflower bunnies episodes were from a teleplay by valérie baranski . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'teleplay by valérie baranski', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'original beechwood bunny tale / source material', 'teleplay by valérie baranski'], 'result': True, 'ind': 0, 'tointer': 'for the original beechwood bunny tale / source material records of all rows , most of them fuzzily match to teleplay by valérie baranski .', 'tostr': 'mo... | most_eq { all_rows ; original beechwood bunny tale / source material ; teleplay by valérie baranski } = true | for the original beechwood bunny tale / source material records of all rows , most of them fuzzily match to teleplay by valérie baranski . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'original beechwood bunny tale / source material_3': 3, 'teleplay by valérie baranski_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'original beechwood bunny tale / source material_3': 'original beechwood bunny tale / source material', 'teleplay by valérie baranski_4': 'teleplay by valérie baranski'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'original beechwood bunny tale / source material_3': [0], 'teleplay by valérie baranski_4': [0]} | ['official', 'tf1', 'french title', 'english title', 'air date ( france )', 'original beechwood bunny tale / source material'] | [['5', '5', "l'exploit de tante zinia", 'born to be bunnies', '22 september 2004', "l'exploit de tante zinia"], ['6', '8', "les passiflore mènent l'enquête", 'bunnies on a case', '13 october 2004', "les passiflore mènent l'enquête"], ['7', '6', 'les beignets flambés', 'firemen or firewomen', '29 september 2004', 'les b... |
1939 vfl season | https://en.wikipedia.org/wiki/1939_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10806852-13.html.csv | majority | the majority of venues in the 1939 vfl season drew a crowd of over 10000 . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '10000', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'crowd', '10000'], 'result': True, 'ind': 0, 'tointer': 'for the crowd records of all rows , most of them are greater than 10000 .', 'tostr': 'most_greater { all_rows ; crowd ; 10000 } = true'} | most_greater { all_rows ; crowd ; 10000 } = true | for the crowd records of all rows , most of them are greater than 10000 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'crowd_3': 3, '10000_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'crowd_3': 'crowd', '10000_4': '10000'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'crowd_3': [0], '10000_4': [0]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['footscray', '7.7 ( 49 )', 'richmond', '13.25 ( 103 )', 'western oval', '15000', '15 july 1939'], ['collingwood', '19.11 ( 125 )', 'south melbourne', '8.13 ( 61 )', 'victoria park', '10500', '15 july 1939'], ['carlton', '14.14 ( 98 )', 'geelong', '12.5 ( 77 )', 'princes park', '19000', '15 july 1939'], ['north melbou... |
derek warwick | https://en.wikipedia.org/wiki/Derek_Warwick | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1158017-1.html.csv | aggregation | derek warwick scored a total of eleven points in the nineties . | {'scope': 'subset', 'col': '5', 'type': 'sum', 'result': '11', 'subset': {'col': '1', 'criterion': 'greater_than_eq', 'value': '1990'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_greater_eq', 'args': ['all_rows', 'year', '1990'], 'result': None, 'ind': 0, 'tostr': 'filter_greater_eq { all_rows ; year ; 1990 }', 'tointer': 'select the rows whose year record is greater than or equal to 1990 .'}, 'points'], 'result': '11', 'in... | round_eq { sum { filter_greater_eq { all_rows ; year ; 1990 } ; points } ; 11 } = true | select the rows whose year record is greater than or equal to 1990 . the sum of the points record of these rows is 11 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_greater_eq_0': 0, 'all_rows_4': 4, 'year_5': 5, '1990_6': 6, 'points_7': 7, '11_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_greater_eq_0': 'filter_greater_eq', 'all_rows_4': 'all_rows', 'year_5': 'year', '1990_6': '1990', 'points_7': 'points', '11_8': '11'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_greater_eq_0': [1], 'all_rows_4': [0], 'year_5': [0], '1990_6': [0], 'points_7': [1], '11_8': [2]} | ['year', 'entrant', 'chassis', 'engine', 'points'] | [['1981', 'candy toleman motorsport', 'toleman tg181', 'hart 415t 1.5 l4 t', '0'], ['1982', 'candy toleman motorsport', 'toleman tg181c', 'hart 415t 1.5 l4 t', '0'], ['1982', 'candy toleman motorsport', 'toleman tg183', 'hart 415t 1.5 l4 t', '0'], ['1983', 'candy toleman motorsport', 'toleman tg183b', 'hart 415t 1.5 l4... |
list of the bellflower bunnies episodes | https://en.wikipedia.org/wiki/List_of_The_Bellflower_Bunnies_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-16425614-3.html.csv | ordinal | firemen or firewomen was the second earliest aired episode of the bellflower bunnies in france . | {'row': '3', 'col': '5', 'order': '2', 'col_other': '4', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'air date ( france )', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; air date ( france ) ; 2 }'}, 'english title'], 'result': 'firemen or firewomen', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ;... | eq { hop { nth_argmin { all_rows ; air date ( france ) ; 2 } ; english title } ; firemen or firewomen } = true | select the row whose air date ( france ) record of all rows is 2nd minimum . the english title record of this row is firemen or firewomen . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'air date (france)_5': 5, '2_6': 6, 'english title_7': 7, 'firemen or firewomen_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', 'air date (france)_5': 'air date ( france )', '2_6': '2', 'english title_7': 'english title', 'firemen or firewomen_8': 'firemen or firewomen'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'air date (france)_5': [0], '2_6': [0], 'english title_7': [1], 'firemen or firewomen_8': [2]} | ['official', 'tf1', 'french title', 'english title', 'air date ( france )', 'original beechwood bunny tale / source material'] | [['5', '5', "l'exploit de tante zinia", 'born to be bunnies', '22 september 2004', "l'exploit de tante zinia"], ['6', '8', "les passiflore mènent l'enquête", 'bunnies on a case', '13 october 2004', "les passiflore mènent l'enquête"], ['7', '6', 'les beignets flambés', 'firemen or firewomen', '29 september 2004', 'les b... |
2001 masters tournament | https://en.wikipedia.org/wiki/2001_Masters_Tournament | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16514667-2.html.csv | aggregation | in the 2001 masters tournament , the average number of strokes to par was -5 . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '-5', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'to par'], 'result': '-5', 'ind': 0, 'tostr': 'avg { all_rows ; to par }'}, '-5'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; to par } ; -5 } = true', 'tointer': 'the average of the to par record of all rows is -5 .'} | round_eq { avg { all_rows ; to par } ; -5 } = true | the average of the to par record of all rows is -5 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'to par_4': 4, '-5_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'to par_4': 'to par', '-5_5': '-5'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'to par_4': [0], '-5_5': [1]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'chris dimarco', 'united states', '65', '- 7'], ['t2', 'ángel cabrera', 'argentina', '66', '- 6'], ['t2', 'steve stricker', 'united states', '66', '- 6'], ['t4', 'john huston', 'united states', '67', '- 5'], ['t4', 'lee janzen', 'united states', '67', '- 5'], ['t4', 'phil mickelson', 'united states', '67', '- 5'... |
2001 st. louis rams season | https://en.wikipedia.org/wiki/2001_St._Louis_Rams_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10659538-3.html.csv | ordinal | the game on october 8th , 2001 , had the 2nd highest attendance . | {'row': '4', 'col': '7', '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', 'attendance', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; attendance ; 2 }'}, 'date'], 'result': 'october 8 , 2001', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; attendance ; 2 } ; date }'}, '... | eq { hop { nth_argmax { all_rows ; attendance ; 2 } ; date } ; october 8 , 2001 } = true | select the row whose attendance record of all rows is 2nd maximum . the date record of this row is october 8 , 2001 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'attendance_5': 5, '2_6': 6, 'date_7': 7, 'october 8 , 2001_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', 'attendance_5': 'attendance', '2_6': '2', 'date_7': 'date', 'october 8 , 2001_8': 'october 8 , 2001'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'attendance_5': [0], '2_6': [0], 'date_7': [1], 'october 8 , 2001_8': [2]} | ['week', 'date', 'opponent', 'result', 'record', 'tv time', 'attendance'] | [['1', 'september 9 , 2001', 'philadelphia eagles', 'w 20 - 17 ( ot )', '1 - 0', 'fox 3:15 pm', '66243'], ['2', 'september 23 , 2001', 'san francisco 49ers', 'w 30 - 26', '2 - 0', 'fox 3:15 pm', '67536'], ['3', 'september 30 , 2001', 'miami dolphins', 'w 42 - 10', '3 - 0', 'cbs 12:00 pm', '66046'], ['4', 'october 8 , 2... |
highland railway river class | https://en.wikipedia.org/wiki/Highland_Railway_River_Class | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1886270-1.html.csv | unique | the river garry was the only locomotive in the highland railway river class that was built in december 1915 . | {'scope': 'all', 'row': '5', 'col': '5', 'col_other': '2', 'criterion': 'equal', 'value': '12/1915', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'built', '12/1915'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose built record fuzzily matches to 12/1915 .', 'tostr': 'filter_eq { all_rows ; built ; 12/1915 }'}], 'result': True, 'ind': 1, 'tostr': 'only {... | and { only { filter_eq { all_rows ; built ; 12/1915 } } ; eq { hop { filter_eq { all_rows ; built ; 12/1915 } ; hr name } ; ( river garry ) } } = true | select the rows whose built record fuzzily matches to 12/1915 . there is only one such row in the table . the hr name record of this unqiue row is ( river garry ) . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'built_7': 7, '12/1915_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'hr name_9': 9, '(river garry)_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'built_7': 'built', '12/1915_8': '12/1915', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'hr name_9': 'hr name', '(river garry)_10': '( river garry )'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'built_7': [0], '12/1915_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'hr name_9': [2], '(river garry)_10': [3]} | ['hr no', 'hr name', 'cr no', 'lms no', 'built', 'works', 'withdrawn'] | [['70', 'river ness', '938', '14756', '9 / 1915', 'hawthorn leslie 3095', '10 / 1939'], ['71', 'river spey', '939', '14757', '9 / 1915', 'hawthorn leslie 3096', '12 / 1936'], ['( 72 )', '( river tay )', '940', '14758', '11 / 1915', 'hawthorn leslie 3097', '9 / 1945'], ['( 73 )', '( river findhorn )', '941', '14759', '1... |
1951 vfl season | https://en.wikipedia.org/wiki/1951_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10701914-6.html.csv | aggregation | in the 1951 vfl season fixtures listed the average crowd was over 19500 . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '19167', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'crowd'], 'result': '19167', 'ind': 0, 'tostr': 'avg { all_rows ; crowd }'}, '19167'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; crowd } ; 19167 } = true', 'tointer': 'the average of the crowd record of all rows is 19167 .'} | round_eq { avg { all_rows ; crowd } ; 19167 } = true | the average of the crowd record of all rows is 19167 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'crowd_4': 4, '19167_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'crowd_4': 'crowd', '19167_5': '19167'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'crowd_4': [0], '19167_5': [1]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['collingwood', '13.15 ( 93 )', 'south melbourne', '6.10 ( 46 )', 'victoria park', '19000', '2 june 1951'], ['st kilda', '18.9 ( 117 )', 'richmond', '19.12 ( 126 )', 'junction oval', '20000', '2 june 1951'], ['north melbourne', '11.8 ( 74 )', 'geelong', '12.16 ( 88 )', 'arden street oval', '15000', '2 june 1951'], ['h... |
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 | unique | a j allmendinger is the only driver of the 2004 centrix financial grand prix of denver without a qual 1 time . | {'scope': 'all', 'row': '7', 'col': '3', 'col_other': '1', 'criterion': 'equal', 'value': '-', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'qual 1', '-'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose qual 1 record is equal to - .', 'tostr': 'filter_eq { all_rows ; qual 1 ; - }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; qu... | and { only { filter_eq { all_rows ; qual 1 ; - } } ; eq { hop { filter_eq { all_rows ; qual 1 ; - } ; name } ; a j allmendinger } } = true | select the rows whose qual 1 record is equal to - . there is only one such row in the table . the name record of this unqiue row is a j allmendinger . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'qual 1_7': 7, '-_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'a j allmendinger_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'qual 1_7': 'qual 1', '-_8': '-', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'a j allmendinger_10': 'a j allmendinger'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'qual 1_7': [0], '-_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'a j allmendinger_10': [3]} | ['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 ... |
los angeles lakers all - time roster | https://en.wikipedia.org/wiki/Los_Angeles_Lakers_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10560886-17.html.csv | count | there are 2 players with the ' forward / center ' position in the los angeles lakers all - time roster . | {'scope': 'all', 'criterion': 'equal', 'value': 'forward / center', 'result': '2', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', 'forward / center'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to forward / center .', 'tostr': 'filter_eq { all_rows ; position ; forward / center }'}], 'resul... | eq { count { filter_eq { all_rows ; position ; forward / center } } ; 2 } = true | select the rows whose position record fuzzily matches to forward / center . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'position_5': 5, 'forward / center_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'position_5': 'position', 'forward / center_6': 'forward / center', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'position_5': [0], 'forward / center_6': [0], '2_7': [2]} | ['player', 'nationality', 'position', 'from', 'school / country'] | [['jannero pargo', 'united states', 'guard', '2002', 'arkansas'], ['parker , smush smush parker', 'united states', 'guard', '2005', 'fordham'], ['myles patrick', 'united states', 'forward', '1980', 'auburn'], ['ruben patterson', 'united states', 'guard / forward', '1998', 'cincinnati'], ['jim paxson', 'united states', ... |
list of corporations by market capitalization | https://en.wikipedia.org/wiki/List_of_corporations_by_market_capitalization | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14094649-14.html.csv | majority | the majority of corporations with the greatest market capitalization are headquartered in the united states . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'united states', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'headquarters', 'united states'], 'result': True, 'ind': 0, 'tointer': 'for the headquarters records of all rows , most of them fuzzily match to united states .', 'tostr': 'most_eq { all_rows ; headquarters ; united states } = true'} | most_eq { all_rows ; headquarters ; united states } = true | for the headquarters records of all rows , most of them fuzzily match to united states . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'headquarters_3': 3, 'united states_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'headquarters_3': 'headquarters', 'united states_4': 'united states'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'headquarters_3': [0], 'united states_4': [0]} | ['rank', 'name', 'headquarters', 'industry', 'market value ( usd million )'] | [['1', 'exxon mobil', 'united states', 'oil and gas', '371631'], ['2', 'general electric', 'united states', 'conglomerate', '362527'], ['3', 'microsoft', 'united states', 'software industry', '281171'], ['4', 'citigroup', 'united states', 'banking', '238935'], ['5', 'bp', 'united kingdom', 'oil and gas', '233260'], ['6... |
larry mize | https://en.wikipedia.org/wiki/Larry_Mize | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1584996-5.html.csv | comparative | mize finished in the top 25 in the masters tournament more times than he finished in the top 25 of the pga championship . | {'row_1': '1', 'row_2': '4', 'col': '5', '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 - 25 } ; hop { filter_eq { all_rows ; tournament ; pga championship } ; top - 25 } } = true | select the rows whose tournament record fuzzily matches to masters tournament . take the top - 25 record of this row . select the rows whose tournament record fuzzily matches to pga championship . take the top - 25 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 - 25_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'tournament_11': 11, 'pga championship_12': 12, 'top - 25_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 - 25_9': 'top - 25', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', ... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'tournament_7': [0], 'masters tournament_8': [0], 'top - 25_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'tournament_11': [1], 'pga championship_12': [1], 'top - 25_13': [3]} | ['tournament', 'wins', 'top - 5', 'top - 10', 'top - 25', 'events', 'cuts made'] | [['masters tournament', '1', '2', '3', '11', '30', '17'], ['us open', '0', '1', '1', '4', '18', '10'], ['the open championship', '0', '0', '0', '2', '12', '7'], ['pga championship', '0', '0', '2', '6', '16', '10'], ['totals', '1', '3', '6', '23', '76', '44']] |
independent girls ' schools sports association ( south australia ) | https://en.wikipedia.org/wiki/Independent_Girls%27_Schools_Sports_Association_%28South_Australia%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-22043925-1.html.csv | majority | the majority of schools in the independent girls ' schools sports association are day & boarding schools . | {'scope': 'all', 'col': '7', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'day & boarding', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'day / boarding', 'day & boarding'], 'result': True, 'ind': 0, 'tointer': 'for the day / boarding records of all rows , most of them fuzzily match to day & boarding .', 'tostr': 'most_eq { all_rows ; day / boarding ; day & boarding } = true'} | most_eq { all_rows ; day / boarding ; day & boarding } = true | for the day / boarding records of all rows , most of them fuzzily match to day & boarding . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'day / boarding_3': 3, 'day & boarding_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'day / boarding_3': 'day / boarding', 'day & boarding_4': 'day & boarding'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'day / boarding_3': [0], 'day & boarding_4': [0]} | ['school', 'location', 'enrolment', 'founded', 'denomination', 'boys / girls', 'day / boarding', 'school colors'] | [['annesley college', 'wayville', '530', '1902', 'uniting church', 'girls', 'day & boarding', 'maroon & white'], ['concordia college', 'highgate', '700', '1890', 'lutheran', 'boys & girls', 'day', 'blue & gold'], ['immanuel college', 'novar gardens', '800', '1895', 'lutheran', 'boys & girls', 'day & boarding', 'blue , ... |
list of intel core i7 microprocessors | https://en.wikipedia.org/wiki/List_of_Intel_Core_i7_microprocessors | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18823880-15.html.csv | majority | in the list of intel core i7 microprocessors , most of the hd graphics 4000 has a 13 cache of 6 mb . | {'scope': 'subset', 'col': '7', 'most_or_all': 'most', 'criterion': 'equal', 'value': '6mb', 'subset': {'col': '8', 'criterion': 'equal', 'value': 'hd graphics 4000'}} | {'func': 'most_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'gpu model', 'hd graphics 4000'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; gpu model ; hd graphics 4000 }', 'tointer': 'select the rows whose gpu model record fuzzily matches to hd graphics 4000 .'}, 'l3 cache', '6mb'], 'r... | most_eq { filter_eq { all_rows ; gpu model ; hd graphics 4000 } ; l3 cache ; 6mb } = true | select the rows whose gpu model record fuzzily matches to hd graphics 4000 . for the l3 cache records of these rows , most of them fuzzily match to 6mb . | 2 | 2 | {'most_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'gpu model_4': 4, 'hd graphics 4000_5': 5, 'l3 cache_6': 6, '6mb_7': 7} | {'most_str_eq_1': 'most_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'gpu model_4': 'gpu model', 'hd graphics 4000_5': 'hd graphics 4000', 'l3 cache_6': 'l3 cache', '6mb_7': '6mb'} | {'most_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'gpu model_4': [0], 'hd graphics 4000_5': [0], 'l3 cache_6': [1], '6mb_7': [1]} | ['model number', 'sspec number', 'cores', 'frequency', 'turbo', 'l2 cache', 'l3 cache', 'gpu model', 'gpu frequency', 'socket', 'i / o bus', 'release date', 'part number ( s )', 'release price ( usd )'] | [['standard power', 'standard power', 'standard power', 'standard power', 'standard power', 'standard power', 'standard power', 'standard power', 'standard power', 'standard power', 'standard power', 'standard power', 'standard power', 'standard power'], ['core i7 - 3610qm', 'sr0 mn ( e1 )', '4', '2.3 ghz', '8 / 8 / 9 ... |
thomas wheatley ( locomotive engineer ) | https://en.wikipedia.org/wiki/Thomas_Wheatley_%28locomotive_engineer%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10668727-1.html.csv | count | a total of four locomotives designed by thomas wheatley went extinct in the year 1924 . | {'scope': 'all', 'criterion': 'equal', 'value': '1924', 'result': '4', 'col': '6', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'extinct', '1924'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose extinct record is equal to 1924 .', 'tostr': 'filter_eq { all_rows ; extinct ; 1924 }'}], 'result': '4', 'ind': 1, 'tostr': 'count { filter_eq { a... | eq { count { filter_eq { all_rows ; extinct ; 1924 } } ; 4 } = true | select the rows whose extinct record is equal to 1924 . the number of such rows is 4 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'extinct_5': 5, '1924_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'extinct_5': 'extinct', '1924_6': '1924', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'extinct_5': [0], '1924_6': [0], '4_7': [2]} | ['nbr class', 'type', 'introduced', 'driving wheel', 'total', 'extinct'] | [['141', '2 - 4 - 0', '1869', 'ft6in ( mm )', '2', '1915'], ['38', '2 - 4 - 0', '1869', 'ft0in ( mm )', '1', '1912'], ['418', '2 - 4 - 0', '1873', 'ft0in ( mm )', '8', '1927'], ['40', '2 - 4 - 0', '1873', 'ft0in ( mm )', '2', '1903'], ['224', '4 - 4 - 0', '1871', 'ft6in ( mm )', '2', '1919'], ['420', '4 - 4 - 0', '1873... |
dinamo riga | https://en.wikipedia.org/wiki/Dinamo_Riga | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-20833768-4.html.csv | ordinal | dinamo riga scored their third highest amount of points in the 2010-11 season . | {'row': '3', 'col': '5', 'order': '3', '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', 'pts', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; pts ; 3 }'}, 'season'], 'result': '2010 - 11', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; pts ; 3 } ; season }'}, '2010 - 11'], 'result': T... | eq { hop { nth_argmax { all_rows ; pts ; 3 } ; season } ; 2010 - 11 } = true | select the row whose pts record of all rows is 3rd maximum . the season record of this row is 2010 - 11 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'pts_5': 5, '3_6': 6, 'season_7': 7, '2010 - 11_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', 'pts_5': 'pts', '3_6': '3', 'season_7': 'season', '2010 - 11_8': '2010 - 11'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'pts_5': [0], '3_6': [0], 'season_7': [1], '2010 - 11_8': [2]} | ['season', 'gp', 'w ( ot / so )', 'l ( ot / so )', 'pts', 'pts / gp', 'gf - ga', 'rank ( league / conference )', 'top scorer'] | [['2008 - 09', '56', '24 ( 3 / 2 )', '23 ( 1 / 3 )', '86', '1.54', '132 - 156', '10th / -', 'marcel hossa ( 44 )'], ['2009 - 10', '56', '23 ( 1 / 3 )', '22 ( 3 / 4 )', '84', '1.50', '174 - 175', '13th / 8th', 'marcel hossa ( 55 )'], ['2010 - 11', '54', '20 ( 2 / 5 )', '20 ( 5 / 2 )', '81', '1.50', '160 - 149', '13th / ... |
wvtf | https://en.wikipedia.org/wiki/WVTF | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12155786-3.html.csv | majority | of the frequencies for wvtf , all of the licenses were for cities in virginia . | {'scope': 'all', 'col': '3', 'most_or_all': 'all', 'criterion': 'fuzzily_match', 'value': 'virginia', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'city of license', 'virginia'], 'result': True, 'ind': 0, 'tointer': 'for the city of license records of all rows , all of them fuzzily match to virginia .', 'tostr': 'all_eq { all_rows ; city of license ; virginia } = true'} | all_eq { all_rows ; city of license ; virginia } = true | for the city of license records of all rows , all of them fuzzily match to virginia . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'city of license_3': 3, 'virginia_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'city of license_3': 'city of license', 'virginia_4': 'virginia'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'city of license_3': [0], 'virginia_4': [0]} | ['call sign', 'frequency mhz', 'city of license', 'erp w', 'fcc info'] | [['w211bf', '90.1', 'big stone gap , virginia', '8', 'fcc'], ['w212bp', '90.3', 'clintwood , virginia', '1', 'fcc'], ['w211be', '90.1', 'lebanon , virginia', '8.5', 'fcc'], ['w219cj', '91.7', 'norton , virginia', '50', 'fcc'], ['w217bf', '91.3', 'pound , virginia', '1', 'fcc'], ['w215bj', '90.9', 'saint paul , virginia... |
united states house of representatives elections , 1926 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1926 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1342379-20.html.csv | majority | republicans won more of the races than democrats . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'republican', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'party', 'republican'], 'result': True, 'ind': 0, 'tointer': 'for the party records of all rows , most of them fuzzily match to republican .', 'tostr': 'most_eq { all_rows ; party ; republican } = true'} | most_eq { all_rows ; party ; republican } = true | for the party records of all rows , most of them fuzzily match to republican . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'party_3': 3, 'republican_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'party_3': 'party', 'republican_4': 'republican'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'party_3': [0], 'republican_4': [0]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['massachusetts 2', 'henry l bowles', 'republican', '1925', 're - elected', 'henry l bowles ( r ) 64.0 % john hall ( d ) 36.0 %'], ['massachusetts 3', 'frank h foss', 'republican', '1924', 're - elected', 'frank h foss ( r ) 62.8 % joseph e casey ( d ) 37.2 %'], ['massachusetts 6', 'abram andrew', 'republican', '1921'... |
somerset county cricket club in 2010 | https://en.wikipedia.org/wiki/Somerset_County_Cricket_Club_in_2010 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-28846752-4.html.csv | majority | the majority of team members played in over twenty innings . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '20', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'innings', '20'], 'result': True, 'ind': 0, 'tointer': 'for the innings records of all rows , most of them are greater than 20 .', 'tostr': 'most_greater { all_rows ; innings ; 20 } = true'} | most_greater { all_rows ; innings ; 20 } = true | for the innings records of all rows , most of them are greater than 20 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'innings_3': 3, '20_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'innings_3': 'innings', '20_4': '20'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'innings_3': [0], '20_4': [0]} | ['player', 'matches', 'innings', 'runs', 'average', 'highest score', '100s', '50s'] | [['james hildreth', '16', '23', '1440', '65.45', '151', '7', '5'], ['marcus trescothick', '16', '28', '1397', '58.20', '228', '4', '6'], ['zander de bruyn', '14', '21', '814', '38.76', '95', '0', '5'], ['arul suppiah', '16', '26', '771', '33.52', '125', '1', '4'], ['jos buttler', '13', '20', '569', '33.47', '144', '1',... |
1968 - 69 atlanta hawks season | https://en.wikipedia.org/wiki/1968%E2%80%9369_Atlanta_Hawks_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18409087-9.html.csv | count | four of the games of the 1968 - 69 atlanta hawks season were played on the month of april . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'april', 'result': '4', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'april'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to april .', 'tostr': 'filter_eq { all_rows ; date ; april }'}], 'result': '4', 'ind': 1, 'tostr': 'count { filter_e... | eq { count { filter_eq { all_rows ; date ; april } } ; 4 } = true | select the rows whose date record fuzzily matches to april . 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, 'date_5': 5, 'april_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', 'date_5': 'date', 'april_6': 'april', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'date_5': [0], 'april_6': [0], '4_7': [2]} | ['game', 'date', 'opponent', 'score', 'location / attendance', 'series'] | [['1', 'march 27', 'san diego', '107 - 98', 'alexander memorial coliseum', '1 - 0'], ['2', 'march 29', 'san diego', '116 - 114', 'alexander memorial coliseum', '2 - 0'], ['3', 'april 1', 'san diego', '97 - 104', 'san diego sports arena', '2 - 1'], ['4', 'april 4', 'san diego', '112 - 114', 'san diego sports arena', '2 ... |
1957 team speedway polish championship | https://en.wikipedia.org/wiki/1957_Team_Speedway_Polish_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15434792-3.html.csv | unique | in the 1957 team speedway polish championship , for the teams that lost more than 1 game , the only one that had 14 points was skra warszawa . | {'scope': 'subset', 'row': '3', 'col': '3', 'col_other': '1', 'criterion': 'equal', 'value': '14', 'subset': {'col': '5', 'criterion': 'greater_than', 'value': '1'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'lost', '1'], 'result': None, 'ind': 0, 'tostr': 'filter_greater { all_rows ; lost ; 1 }', 'tointer': 'select the rows whose lost record is greater than 1 .'}, 'points', '14'], 'result': Non... | and { only { filter_eq { filter_greater { all_rows ; lost ; 1 } ; points ; 14 } } ; eq { hop { filter_eq { filter_greater { all_rows ; lost ; 1 } ; points ; 14 } ; team } ; skra warszawa } } = true | select the rows whose lost record is greater than 1 . among these rows , select the rows whose points record is equal to 14 . there is only one such row in the table . the team record of this unqiue row is skra warszawa . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_eq_1': 1, 'filter_greater_0': 0, 'all_rows_7': 7, 'lost_8': 8, '1_9': 9, 'points_10': 10, '14_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'team_12': 12, 'skra warszawa_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_eq_1': 'filter_eq', 'filter_greater_0': 'filter_greater', 'all_rows_7': 'all_rows', 'lost_8': 'lost', '1_9': '1', 'points_10': 'points', '14_11': '14', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'team_12': 'team', 'skra warszawa_13': 'skra warszawa'} | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_eq_1': [2, 3], 'filter_greater_0': [1], 'all_rows_7': [0], 'lost_8': [0], '1_9': [0], 'points_10': [1], '14_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'team_12': [3], 'skra warszawa_13': [4]} | ['team', 'match', 'points', 'draw', 'lost'] | [['stal rzeszów', '12', '22', '0', '1'], ['unia leszno', '12', '22', '0', '1'], ['skra warszawa', '12', '14', '0', '5'], ['gwardia katowice', '12', '8', '0', '8'], ['stal gorzów wlkp', '12', '8', '0', '8'], ['ostrovia ostrów wlkp', '12', '6', '0', '9'], ['lpż lublin', '12', '4', '0', '10']] |
operación triunfo ( spain ) | https://en.wikipedia.org/wiki/Operaci%C3%B3n_Triunfo_%28Spain%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1149495-1.html.csv | comparative | sergio rivero was the winner of operación triunfo two years after vicente seguí porres . | {'row_1': '4', 'row_2': '3', 'col': '2', 'col_other': '3', 'relation': 'diff', 'record_mentioned': 'no', 'diff_result': {'diff_value': '2 years', 'bigger': 'row1'}} | {'func': 'eq', 'args': [{'func': 'diff', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'winner', 'sergio rivero'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose winner record fuzzily matches to sergio rivero .', 'tostr': 'filter_eq { all_rows ; winner ; sergio rivero... | eq { diff { hop { filter_eq { all_rows ; winner ; sergio rivero } ; year } ; hop { filter_eq { all_rows ; winner ; vicente seguí porres } ; year } } ; 2 years } = true | select the rows whose winner record fuzzily matches to sergio rivero . take the year record of this row . select the rows whose winner record fuzzily matches to vicente seguí porres . take the year record of this row . the first record is 2 years larger than the second record . | 6 | 6 | {'str_eq_5': 5, 'result_6': 6, 'diff_4': 4, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'winner_8': 8, 'sergio rivero_9': 9, 'year_10': 10, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_11': 11, 'winner_12': 12, 'vicente seguí porres_13': 13, 'year_14': 14, '2 years_15': 15} | {'str_eq_5': 'str_eq', 'result_6': 'true', 'diff_4': 'diff', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'winner_8': 'winner', 'sergio rivero_9': 'sergio rivero', 'year_10': 'year', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_11': 'all_rows', 'winner_1... | {'str_eq_5': [6], 'result_6': [], 'diff_4': [5], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_7': [0], 'winner_8': [0], 'sergio rivero_9': [0], 'year_10': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_11': [1], 'winner_12': [1], 'vicente seguí porres_13': [1], 'year_14': [3], '2 years_15': [5]} | ['series', 'year', 'winner', 'runner - up', 'third place', 'fourth place', 'fifth place', 'sixth place', 'host'] | [['1', '2001 - 2002', 'rosa lópez', 'david bisbal', 'david bustamante', 'chenoa', 'manu tenorio', 'verónica romero', 'carlos lozano'], ['2', '2002 - 2003', 'ainhoa cantalapiedra', 'manuel carrasco', 'beth rodergas', 'miguel nández', 'hugo salazar', 'joan tena', 'carlos lozano'], ['3', '2003', 'vicente seguí porres', 'r... |
us junior open squash championship | https://en.wikipedia.org/wiki/US_Junior_Open_squash_championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-26368963-2.html.csv | count | emily park won the us under 13 squash championship two times . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'emily park', 'result': '2', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'under - 13', 'emily park'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose under - 13 record fuzzily matches to emily park .', 'tostr': 'filter_eq { all_rows ; under - 13 ; emily park }'}], 'result': '2', 'in... | eq { count { filter_eq { all_rows ; under - 13 ; emily park } } ; 2 } = true | select the rows whose under - 13 record fuzzily matches to emily park . 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, 'under - 13_5': 5, 'emily park_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', 'under - 13_5': 'under - 13', 'emily park_6': 'emily park', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'under - 13_5': [0], 'emily park_6': [0], '2_7': [2]} | ['year', 'under - 11', 'under - 13', 'under - 15', 'under - 17', 'under - 19'] | [['1999', 'unknown', 'unknown', 'unknown', 'jacqui inward', 'leong siu lynn'], ['2000', 'was not played', 'emery maine', 'lily lorentzen', 'lauren mccrery', 'michelle quibell'], ['2001', 'was not played', 'emily park', 'alisha turner', 'jennifer blumberg', 'ruchika kumar'], ['2002', 'was not played', 'emily park', 'reb... |
2001 ansett australia cup | https://en.wikipedia.org/wiki/2001_Ansett_Australia_Cup | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-16388439-2.html.csv | superlative | the biggest crowd showed up the game at which collingwood was playing . | {'scope': 'all', 'col_superlative': '7', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'crowd'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; crowd }'}, 'home team'], 'result': 'collingwood', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; crowd } ; home team }'}, 'collingwood'], 'result': True, 'ind... | eq { hop { argmax { all_rows ; crowd } ; home team } ; collingwood } = true | select the row whose crowd record of all rows is maximum . the home team record of this row is collingwood . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'crowd_5': 5, 'home team_6': 6, 'collingwood_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'crowd_5': 'crowd', 'home team_6': 'home team', 'collingwood_7': 'collingwood'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'crowd_5': [0], 'home team_6': [1], 'collingwood_7': [2]} | ['home team', 'home team score', 'away team', 'away team score', 'ground', 'date', 'crowd'] | [['collingwood', '12.14 ( 86 )', 'st kilda', '10.8 ( 68 )', 'colonial stadium', 'friday , 16 february', '30072'], ['west coast', '6.11 ( 47 )', 'kangaroos', '14.12 ( 96 )', 'subiaco oval', 'friday , 16 february', '16905'], ['kangaroos', '14.12 ( 96 )', 'st kilda', '12.9 ( 81 )', 'manuka oval', 'saturday , 24 february',... |
united states house of representatives elections , 1970 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1970 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341718-36.html.csv | majority | in the 1970 election for the united states house of representatives , most of the incumbents were from the republican party . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'republican', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'party', 'republican'], 'result': True, 'ind': 0, 'tointer': 'for the party records of all rows , most of them fuzzily match to republican .', 'tostr': 'most_eq { all_rows ; party ; republican } = true'} | most_eq { all_rows ; party ; republican } = true | for the party records of all rows , most of them fuzzily match to republican . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'party_3': 3, 'republican_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'party_3': 'party', 'republican_4': 'republican'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'party_3': [0], 'republican_4': [0]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['ohio 5', 'del latta', 'republican', '1958', 're - elected', 'del latta ( r ) 71.1 % carl g sherer ( d ) 28.9 %'], ['ohio 6', 'bill harsha', 'republican', '1960', 're - elected', 'bill harsha ( r ) 67.8 % raymond h stevens ( d ) 32.2 %'], ['ohio 8', 'jackson edward betts', 'republican', '1950', 're - elected', 'jacks... |
elvis ' gold records volume 5 | https://en.wikipedia.org/wiki/Elvis%27_Gold_Records_Volume_5 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15582798-4.html.csv | superlative | " edge of reality " was elvis 's longest song on his gold records volume five . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '5', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '5', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'time'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; time }'}, 'song title'], 'result': 'edge of reality', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; time } ; song title }'}, 'edge of reality'], 'result': Tru... | eq { hop { argmax { all_rows ; time } ; song title } ; edge of reality } = true | select the row whose time record of all rows is maximum . the song title record of this row is edge of reality . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'time_5': 5, 'song title_6': 6, 'edge of reality_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'time_5': 'time', 'song title_6': 'song title', 'edge of reality_7': 'edge of reality'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'time_5': [0], 'song title_6': [1], 'edge of reality_7': [2]} | ['track', 'recorded', 'catalogue', 'release date', 'song title', 'time'] | [['1', '9 / 10 / 67', '47 - 9341', '9 / 26 / 67', 'big boss man', '2:50'], ['2', '9 / 10 / 67', '47 - 9425', '1 / 9 / 68', 'guitar man', '2:12'], ['3', '1 / 16 / 68', '47 - 9465', '2 / 28 / 68', 'us male', '2:42'], ['4', '6 / 6 / 70', '47 - 9916', '10 / 6 / 70', "you do n't have to say you love me", '2:30'], ['5', '3 /... |
indra putra mahayuddin | https://en.wikipedia.org/wiki/Indra_Putra_Mahayuddin | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11847478-2.html.csv | superlative | indra putra mahayuddin largest winning score in the games listed was by five goals to zero . | {'scope': 'all', 'col_superlative': '3', 'row_superlative': '1', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': 'n/a', 'subset': None} | {'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'score'], 'result': '5 - 0', 'ind': 0, 'tostr': 'max { all_rows ; score }', 'tointer': 'the maximum score record of all rows is 5 - 0 .'}, '5 - 0'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows ; score } ; 5 - 0 } = true', 'tointer': 'the maximum s... | eq { max { all_rows ; score } ; 5 - 0 } = true | the maximum score record of all rows is 5 - 0 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'max_0': 0, 'all_rows_3': 3, 'score_4': 4, '5 - 0_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'max_0': 'max', 'all_rows_3': 'all_rows', 'score_4': 'score', '5 - 0_5': '5 - 0'} | {'eq_1': [2], 'result_2': [], 'max_0': [1], 'all_rows_3': [0], 'score_4': [0], '5 - 0_5': [1]} | ['date', 'venue', 'score', 'result', 'competition'] | [['december 11 , 2002', 'petaling jaya , malaysia', '5 - 0', 'win', 'friendly'], ['december 18 , 2002', 'singapore , singapore', '0 - 4', 'win', '2002 tiger cup group stage'], ['december 20 , 2002', 'singapore , singapore', '3 - 1', 'win', '2002 tiger cup group stage'], ['december 29 , 2002', 'singapore , singapore', '... |
grand slam ( tennis ) | https://en.wikipedia.org/wiki/Grand_Slam_%28tennis%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-197638-6.html.csv | majority | the majority of the players listed won their grand slams before their 27th birthday . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '27', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'age', '27'], 'result': True, 'ind': 0, 'tointer': 'for the age records of all rows , most of them are less than 27 .', 'tostr': 'most_less { all_rows ; age ; 27 } = true'} | most_less { all_rows ; age ; 27 } = true | for the age records of all rows , most of them are less than 27 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'age_3': 3, '27_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'age_3': 'age', '27_4': '27'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'age_3': [0], '27_4': [0]} | ['', 'player', 'age', 'australian open', 'french open', 'wimbledon', 'us open'] | [['1', 'fred perry', '26', '1934', '1935', '1934', '1933'], ['2', 'don budge', '23', '1938', '1938', '1937', '1937'], ['3', 'rod laver', '24', '1960', '1962', '1961', '1962'], ['4', 'roy emerson', '27', '1961', '1963', '1964', '1961'], ['5', 'andre agassi', '29', '1995', '1999', '1992', '1994'], ['6', 'roger federer', ... |
list of eintracht frankfurt records and statistics | https://en.wikipedia.org/wiki/List_of_Eintracht_Frankfurt_records_and_statistics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15453888-2.html.csv | superlative | the player jürgen grabowski had the most appearances in games considering the top goalscorers in the history of eintracht frankfurt club . | {'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', 'apps'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; apps }'}, 'name'], 'result': 'jürgen grabowski', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; apps } ; name }'}, 'jürgen grabowski'], 'result': True, 'ind': ... | eq { hop { argmax { all_rows ; apps } ; name } ; jürgen grabowski } = true | select the row whose apps record of all rows is maximum . the name record of this row is jürgen grabowski . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'apps_5': 5, 'name_6': 6, 'jürgen grabowski_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'apps_5': 'apps', 'name_6': 'name', 'jürgen grabowski_7': 'jürgen grabowski'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'apps_5': [0], 'name_6': [1], 'jürgen grabowski_7': [2]} | ['name', 'career', 'apps', 'goals', 'average'] | [['bernd hölzenbein', '1967 - 1981', '512', '201', '0.39'], ['bernd nickel', '1967 - 1983', '522', '175', '0.34'], ['jürgen grabowski', '1965 - 1980', '526', '137', '0.26'], ['alfred pfaff', '1949 - 1961', '324', '111', '0.34'], ['erwin stein', '1959 - 1966', '174', '108', '0.62'], ['tony yeboah', '1990 - 1995', '156',... |
television in italy | https://en.wikipedia.org/wiki/Television_in_Italy | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15887683-19.html.csv | unique | satisfaction hd is the only television service in italy that provides an hdtv service . | {'scope': 'all', 'row': '14', 'col': '5', 'col_other': '1', 'criterion': 'equal', 'value': 'yes', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'hdtv', 'yes'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose hdtv record fuzzily matches to yes .', 'tostr': 'filter_eq { all_rows ; hdtv ; yes }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { al... | and { only { filter_eq { all_rows ; hdtv ; yes } } ; eq { hop { filter_eq { all_rows ; hdtv ; yes } ; television service } ; satisfaction hd } } = true | select the rows whose hdtv record fuzzily matches to yes . there is only one such row in the table . the television service record of this unqiue row is satisfaction hd . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'hdtv_7': 7, 'yes_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'television service_9': 9, 'satisfaction hd_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'hdtv_7': 'hdtv', 'yes_8': 'yes', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'television service_9': 'television service', 'satisfaction hd_10': 'satisfaction hd'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'hdtv_7': [0], 'yes_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'television service_9': [2], 'satisfaction hd_10': [3]} | ['television service', 'country', 'language', 'content', 'hdtv', 'package / option'] | [['contotv 1', 'italy', 'italian', 'general television', 'no', 'qualsiasi'], ['contotv 2', 'italy', 'italian', 'general television', 'no', 'qualsiasi'], ['contotv 3', 'italy', 'italian', 'general television', 'no', 'qualsiasi'], ['contotv 4', 'italy', 'italian', 'programmi per adulti 24h / 24', 'no', 'qualsiasi'], ['co... |
2010 - 11 süper lig | https://en.wikipedia.org/wiki/2010%E2%80%9311_S%C3%BCper_Lig | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-26998135-2.html.csv | superlative | in the 2010 - 11 süper lig , first outgoing manager that retired was mustafa denizli . | {'scope': 'subset', 'col_superlative': '4', 'row_superlative': '2', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '2,3', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'retired'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'manner of departure', 'retired'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; manner of departure ; retired }', 'tointer': 'select the rows whose manner of departure record... | eq { hop { argmin { filter_eq { all_rows ; manner of departure ; retired } ; date of vacancy } ; outgoing manager } ; mustafa denizli } = true | select the rows whose manner of departure record fuzzily matches to retired . select the row whose date of vacancy record of these rows is minimum . the outgoing manager record of this row is mustafa denizli . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'argmin_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'manner of departure_6': 6, 'retired_7': 7, 'date of vacancy_8': 8, 'outgoing manager_9': 9, 'mustafa denizli_10': 10} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'argmin_1': 'argmin', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'manner of departure_6': 'manner of departure', 'retired_7': 'retired', 'date of vacancy_8': 'date of vacancy', 'outgoing manager_9': 'outgoing manager', 'mustafa denizl... | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'argmin_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'manner of departure_6': [0], 'retired_7': [0], 'date of vacancy_8': [1], 'outgoing manager_9': [2], 'mustafa denizli_10': [3]} | ['team', 'outgoing manager', 'manner of departure', 'date of vacancy', 'replaced by', 'date of appointment'] | [['mke ankaragücü', 'roger lemerre', 'mutual consent', '23 may 2010', 'ümit özat', '24 may 2010'], ['beşiktaş', 'mustafa denizli', 'retired', '2 june 2010', 'bernd schuster', '10 june 2010'], ['fenerbahçe', 'christoph daum', 'sacked', '25 june 2010', 'aykut kocaman', '26 june 2010'], ['manisaspor', 'hakan kutlu', 'resi... |
1930 giro d'italia | https://en.wikipedia.org/wiki/1930_Giro_d%27Italia | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12606666-1.html.csv | superlative | the earliest course of the 1930 giro d'italia was from messina to catania . | {'scope': 'all', 'col_superlative': '2', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '3', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'date'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; date }'}, 'course'], 'result': 'messina to catania', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; date } ; course }'}, 'messina to catania'], 'result': True,... | eq { hop { argmin { all_rows ; date } ; course } ; messina to catania } = true | select the row whose date record of all rows is minimum . the course record of this row is messina to catania . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'date_5': 5, 'course_6': 6, 'messina to catania_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'date_5': 'date', 'course_6': 'course', 'messina to catania_7': 'messina to catania'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'date_5': [0], 'course_6': [1], 'messina to catania_7': [2]} | ['stage', 'date', 'course', 'distance', 'winner', 'race leader'] | [['1', '17 may', 'messina to catania', '-', 'michele mara ( ita )', 'michele mara ( ita )'], ['2', '18 may', 'catania to palermo', '-', 'leonida frascarelli ( ita )', 'antonio negrini ( ita )'], ['3', '20 may', 'palermo to messina', '-', 'luigi marchisio ( ita )', 'luigi marchisio ( ita )'], ['4', '22 may', 'reggio cal... |
alexander kudryavtsev | https://en.wikipedia.org/wiki/Alexander_Kudryavtsev | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18621753-7.html.csv | majority | in most of the tournaments that alexander kudryavtsev participated in , the clay surface was used . | {'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', 'partner', 'opponent in final', 'score'] | [['11 july 2004', 'oberstaufen , germany', 'clay', 'vadim davletshin', 'valentino pest alexander waske', '4 - 6 , 6 - 3 , 7 - 6'], ['27 may 2006', 'kiev , ukraine', 'clay', 'alexander krasnorutskiy', 'andrei stoliarov aleksandr yarmola', '6 - 3 , 3 - 6 , 6 - 2'], ['4 june 2006', 'cherkasy , ukraine', 'clay', 'alexander... |
list of formula one driver records | https://en.wikipedia.org/wiki/List_of_Formula_One_driver_records | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-13599687-46.html.csv | superlative | rubens barrichello has the most entries in the list of formula one driver records . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '6', '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', 'entries'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; entries }'}, 'driver'], 'result': 'rubens barrichello', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; entries } ; driver }'}, 'rubens barrichello'], 'resul... | eq { hop { argmax { all_rows ; entries } ; driver } ; rubens barrichello } = true | select the row whose entries record of all rows is maximum . the driver record of this row is rubens barrichello . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'entries_5': 5, 'driver_6': 6, 'rubens barrichello_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'entries_5': 'entries', 'driver_6': 'driver', 'rubens barrichello_7': 'rubens barrichello'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'entries_5': [0], 'driver_6': [1], 'rubens barrichello_7': [2]} | ['', 'driver', 'seasons', 'entries', 'podiums', 'percentage'] | [['1', 'michael schumacher', '1991 - 2006 , 2010 - 2012', '308', '155', '50.32 %'], ['2', 'alain prost', '1980 - 1991 , 1993', '202', '106', '52.47 %'], ['3', 'fernando alonso', '2001 , 2003 - 2013', '215', '94', '43.72 %'], ['4', 'ayrton senna', '1984 - 1994', '162', '80', '49.38 %'], ['5', 'kimi räikkönen', '2001 - 2... |
list of state leaders in 850s bc | https://en.wikipedia.org/wiki/List_of_state_leaders_in_850s_BC | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17337671-12.html.csv | majority | the most common title among state leaders in 850s bc was duke . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'duke', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'title', 'duke'], 'result': True, 'ind': 0, 'tointer': 'for the title records of all rows , most of them fuzzily match to duke .', 'tostr': 'most_eq { all_rows ; title ; duke } = true'} | most_eq { all_rows ; title ; duke } = true | for the title records of all rows , most of them fuzzily match to duke . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'title_3': 3, 'duke_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'title_3': 'title', 'duke_4': 'duke'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'title_3': [0], 'duke_4': [0]} | ['state', 'type', 'name', 'title', 'royal house'] | [['cai', 'sovereign', 'wu', 'marquis', 'ji'], ['cao', 'sovereign', 'yi', 'count', '-'], ['chen', 'sovereign', 'you', 'duke', '-'], ['jin', 'sovereign', 'li', 'marquis', 'ji'], ['jin', 'sovereign', 'jing', 'marquis', 'ji'], ['lu', 'sovereign', 'xian', 'duke', 'ji'], ['lu', 'sovereign', 'shen', 'duke', 'ji'], ['qi', 'sov... |
easyjet | https://en.wikipedia.org/wiki/EasyJet | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-180466-4.html.csv | superlative | the airbus a321 - 200 aircraft has the highest seating capacity of easyjet planes . | {'scope': 'all', 'col_superlative': '4', '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', 'seating'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; seating }'}, 'aircraft'], 'result': 'airbus a321 - 200', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; seating } ; aircraft }'}, 'airbus a321 - 200'], 'res... | eq { hop { argmax { all_rows ; seating } ; aircraft } ; airbus a321 - 200 } = true | select the row whose seating record of all rows is maximum . the aircraft record of this row is airbus a321 - 200 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'seating_5': 5, 'aircraft_6': 6, 'airbus a321 - 200_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'seating_5': 'seating', 'aircraft_6': 'aircraft', 'airbus a321 - 200_7': 'airbus a321 - 200'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'seating_5': [0], 'aircraft_6': [1], 'airbus a321 - 200_7': [2]} | ['aircraft', 'introduced', 'retired', 'seating', 'notes'] | [['airbus a319 - 100', '2004', '-', '156', 'in service'], ['airbus a320 - 200', '2008', '-', '180', 'in service'], ['airbus a321 - 200', '2008', '2010', '220', 'inherited from gb airways'], ['boeing 737 - 204', '1995', '1996', '115', 'replaced by 737 - 300s'], ['boeing 737 - 300', '1996', '2007', '148 / 9', 'replaced b... |
2010 - 11 orlando magic season | https://en.wikipedia.org/wiki/2010%E2%80%9311_Orlando_Magic_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27700530-13.html.csv | majority | the 2010-11 orlando magic won most of its games when dwight howard was the highest in points . | {'scope': 'subset', 'col': '4', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'w', 'subset': {'col': '5', 'criterion': 'fuzzily_match', 'value': 'dwight howard'}} | {'func': 'most_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'high points', 'dwight howard'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; high points ; dwight howard }', 'tointer': 'select the rows whose high points record fuzzily matches to dwight howard .'}, 'score', 'w'], 'result': ... | most_eq { filter_eq { all_rows ; high points ; dwight howard } ; score ; w } = true | select the rows whose high points record fuzzily matches to dwight howard . for the score records of these rows , most of them fuzzily match to w . | 2 | 2 | {'most_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'high points_4': 4, 'dwight howard_5': 5, 'score_6': 6, 'w_7': 7} | {'most_str_eq_1': 'most_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'high points_4': 'high points', 'dwight howard_5': 'dwight howard', 'score_6': 'score', 'w_7': 'w'} | {'most_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'high points_4': [0], 'dwight howard_5': [0], 'score_6': [1], 'w_7': [1]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['61', 'march 1', 'new york', 'w 116 - 110 ( ot )', 'dwight howard ( 30 )', 'dwight howard ( 16 )', 'chris duhon ( 5 )', 'amway center 19131', '39 - 22'], ['62', 'march 3', 'miami', 'w 99 - 96 ( ot )', 'jason richardson ( 24 )', 'dwight howard ( 18 )', 'jameer nelson ( 7 )', 'american airlines arena 19600', '40 - 22']... |
wru division five south east | https://en.wikipedia.org/wiki/WRU_Division_Five_South_East | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-17625749-1.html.csv | superlative | st albans rfc was the club that recorded the highest number of points against in the wru division five south east . | {'scope': 'all', 'col_superlative': '7', 'row_superlative': '10', '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', 'points against'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; points against }'}, 'club'], 'result': 'st albans rfc', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; points against } ; club }'}, 'st albans rfc'],... | eq { hop { argmax { all_rows ; points against } ; club } ; st albans rfc } = true | select the row whose points against record of all rows is maximum . the club record of this row is st albans rfc . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'points against_5': 5, 'club_6': 6, 'st albans rfc_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'points against_5': 'points against', 'club_6': 'club', 'st albans rfc_7': 'st albans rfc'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'points against_5': [0], 'club_6': [1], 'st albans rfc_7': [2]} | ['club', 'played', 'won', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'] | [['club', 'played', 'won', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'], ['barry rfc', '22', '21', '0', '1', '811', '157', '109', '16', '16', '1', '101'], ['senghenydd rfc', '22', '20', '1', '1', '1013', '148', '150', '19', '17', '1', '100'], ['bl... |
emanuele pirro | https://en.wikipedia.org/wiki/Emanuele_Pirro | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1219777-5.html.csv | count | emanuele pirro finished in the top 10 ranking 8 times from 1999 to 2010 . | {'scope': 'all', 'criterion': 'less_than_eq', 'value': '10', 'result': '8', 'col': '7', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_less_eq', 'args': ['all_rows', 'rank', '10'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose rank record is less than or equal to 10 .', 'tostr': 'filter_less_eq { all_rows ; rank ; 10 }'}], 'result': '8', 'ind': 1, 'tostr': 'count { filte... | eq { count { filter_less_eq { all_rows ; rank ; 10 } } ; 8 } = true | select the rows whose rank record is less than or equal to 10 . the number of such rows is 8 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_less_eq_0': 0, 'all_rows_4': 4, 'rank_5': 5, '10_6': 6, '8_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_less_eq_0': 'filter_less_eq', 'all_rows_4': 'all_rows', 'rank_5': 'rank', '10_6': '10', '8_7': '8'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_less_eq_0': [1], 'all_rows_4': [0], 'rank_5': [0], '10_6': [0], '8_7': [2]} | ['year', 'entrant', 'class', 'chassis', 'engine', 'tyres', 'rank', 'points'] | [['1999', 'audi sport team joest', 'lmp', 'audi r8r', 'audi 3.6 l turbo v8', 'm', '52nd', '20'], ['2000', 'audi sport north america', 'lmp', 'audi r8', 'audi 3.6 l turbo v8', 'm', '3rd', '232'], ['2000', 'audi sport north america', 'lmp', 'audi r8r', 'audi 3.6 l turbo v8', 'm', '3rd', '232'], ['2001', 'audi sport north... |
2007 - 08 football league trophy | https://en.wikipedia.org/wiki/2007%E2%80%9308_Football_League_Trophy | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12962079-4.html.csv | ordinal | for the 2007-08 football league trophy , the second largest attendance was when the home team was milton keynes dons . | {'row': '6', 'col': '5', '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', 'attendance', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; attendance ; 2 }'}, 'home team'], 'result': 'milton keynes dons', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; attendance ; 2 } ; home... | eq { hop { nth_argmax { all_rows ; attendance ; 2 } ; home team } ; milton keynes dons } = true | select the row whose attendance record of all rows is 2nd maximum . the home team record of this row is milton keynes dons . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'attendance_5': 5, '2_6': 6, 'home team_7': 7, 'milton keynes dons_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', 'attendance_5': 'attendance', '2_6': '2', 'home team_7': 'home team', 'milton keynes dons_8': 'milton keynes dons'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'attendance_5': [0], '2_6': [0], 'home team_7': [1], 'milton keynes dons_8': [2]} | ['tie no', 'home team', 'score', 'away team', 'attendance'] | [['1', 'hereford united', '0 - 0', 'yeovil town', '1859'], ['yeovil town won 4 - 2 on penalties', 'yeovil town won 4 - 2 on penalties', 'yeovil town won 4 - 2 on penalties', 'yeovil town won 4 - 2 on penalties', 'yeovil town won 4 - 2 on penalties'], ['2', 'bristol rovers', '0 - 1', 'bournemouth', '3313'], ['3', 'swind... |
world series of snooker | https://en.wikipedia.org/wiki/World_Series_of_Snooker | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18098292-3.html.csv | count | among the tournaments of world series of snooker played in antwerp , one was won by steve davis . | {'scope': 'subset', 'criterion': 'equal', 'value': 'steve davis', 'result': '1', 'col': '4', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'antwerp'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'venue', 'antwerp'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; venue ; antwerp }', 'tointer': 'select the rows whose venue record fuzzily matches to antwerp .'}, 'winner'... | eq { count { filter_eq { filter_eq { all_rows ; venue ; antwerp } ; winner ; steve davis } } ; 1 } = true | select the rows whose venue record fuzzily matches to antwerp . among these rows , select the rows whose winner record fuzzily matches to steve davis . 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, 'venue_6': 6, 'antwerp_7': 7, 'winner_8': 8, 'steve davis_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', 'venue_6': 'venue', 'antwerp_7': 'antwerp', 'winner_8': 'winner', 'steve davis_9': 'steve davis', '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], 'venue_6': [0], 'antwerp_7': [0], 'winner_8': [1], 'steve davis_9': [1], '1_10': [3]} | ['date', 'name', 'venue', 'winner', 'runner - up', 'score'] | [['1991', 'thailand masters', 'bangkok', 'steve davis', 'stephen hendry', '6 - 3'], ['1991', 'hong kong challenge', 'hong kong', 'stephen hendry', 'james wattana', '9 - 1'], ['1991', 'indian challenge', 'delhi', 'stephen hendry', 'john parrott', '9 - 5'], ['1991', 'scottish masters', 'motherwell', 'mike hallett', 'stev... |
1970 vfl season | https://en.wikipedia.org/wiki/1970_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1164217-10.html.csv | superlative | the largest crowd occurred at the game that took place at victoria park . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '3', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '5', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'crowd'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; crowd }'}, 'venue'], 'result': 'victoria park', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; crowd } ; venue }'}, 'victoria park'], 'result': True, 'ind': 2... | eq { hop { argmax { all_rows ; crowd } ; venue } ; victoria park } = true | select the row whose crowd record of all rows is maximum . the venue record of this row is victoria park . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'crowd_5': 5, 'venue_6': 6, 'victoria park_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'crowd_5': 'crowd', 'venue_6': 'venue', 'victoria park_7': 'victoria park'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'crowd_5': [0], 'venue_6': [1], 'victoria park_7': [2]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['fitzroy', '14.9 ( 93 )', 'south melbourne', '12.19 ( 91 )', 'junction oval', '16971', '6 june 1970'], ['essendon', '14.13 ( 97 )', 'richmond', '15.14 ( 104 )', 'windy hill', '20650', '6 june 1970'], ['collingwood', '14.23 ( 107 )', 'st kilda', '15.10 ( 100 )', 'victoria park', '30858', '6 june 1970'], ['melbourne', ... |
list of former and unopened london underground stations | https://en.wikipedia.org/wiki/List_of_former_and_unopened_London_Underground_stations | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-211615-2.html.csv | majority | the majority of london underground stations were abandoned parts of the northern heights project . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'abandoned part of northern heights project', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'details', 'abandoned part of northern heights project'], 'result': True, 'ind': 0, 'tointer': 'for the details records of all rows , most of them fuzzily match to abandoned part of northern heights project .', 'tostr': 'most_eq { all_rows ; details ; abandoned part of north... | most_eq { all_rows ; details ; abandoned part of northern heights project } = true | for the details records of all rows , most of them fuzzily match to abandoned part of northern heights project . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'details_3': 3, 'abandoned part of northern heights project_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'details_3': 'details', 'abandoned part of northern heights project_4': 'abandoned part of northern heights project'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'details_3': [0], 'abandoned part of northern heights project_4': [0]} | ['station', 'line', 'planned', 'cancelled', 'proposal', 'details'] | [['alexandra palace', 'northern', '1935', '1954', 'transfer from lner', 'abandoned part of northern heights project'], ['bushey heath', 'northern', '1936', '1949', 'new station on new route', 'abandoned part of northern heights project'], ['camberwell', 'bakerloo', '1931', '1950', 'new station on new route', 'part of a... |
1994 colorado rockies season | https://en.wikipedia.org/wiki/1994_Colorado_Rockies_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11512208-6.html.csv | comparative | the game on august 10th had more people in attendance than the game on august 4th . | {'row_1': '9', 'row_2': '4', 'col': '5', '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', 'date', 'august 10'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to august 10 .', 'tostr': 'filter_eq { all_rows ; date ; august 10 }'}, 'attendance'], 'result': None, 'i... | greater { hop { filter_eq { all_rows ; date ; august 10 } ; attendance } ; hop { filter_eq { all_rows ; date ; august 4 } ; attendance } } = true | select the rows whose date record fuzzily matches to august 10 . take the attendance record of this row . select the rows whose date record fuzzily matches to august 4 . take the attendance 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, 'date_7': 7, 'august 10_8': 8, 'attendance_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'date_11': 11, 'august 4_12': 12, 'attendance_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', 'date_7': 'date', 'august 10_8': 'august 10', 'attendance_9': 'attendance', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'date_11': 'date', 'august... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'date_7': [0], 'august 10_8': [0], 'attendance_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'date_11': [1], 'august 4_12': [1], 'attendance_13': [3]} | ['date', 'opponent', 'score', 'loss', 'attendance', 'record'] | [['august 1', 'astros', '8 - 3', 'harnisch ( 7 - 5 )', '22256', '51 - 57'], ['august 2', 'astros', '3 - 1', 'harris ( 3 - 11 )', '22574', '51 - 58'], ['august 3', 'astros', '2 - 1', 'ruffin ( 3 - 5 )', '18320', '51 - 59'], ['august 4', 'astros', '6 - 2', 'ritz ( 4 - 6 )', '30053', '51 - 60'], ['august 5', 'dodgers', '5... |
1935 vfl season | https://en.wikipedia.org/wiki/1935_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10790651-6.html.csv | superlative | the highest away team score for the 1935 vfl season was 22.19 on 1 june 1935 . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '2', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': '7', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'away team score'], 'result': '22.19 ( 151 )', 'ind': 0, 'tostr': 'max { all_rows ; away team score }', 'tointer': 'the maximum away team score record of all rows is 22.19 ( 151 ) .'}, '22.19 ( 151 )'], 'result': True, 'ind': 1, 'tost... | and { eq { max { all_rows ; away team score } ; 22.19 ( 151 ) } ; eq { hop { argmax { all_rows ; away team score } ; date } ; 1 june 1935 } } = true | the maximum away team score record of all rows is 22.19 ( 151 ) . the date record of the row with superlative away team score record is 1 june 1935 . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'max_0': 0, 'all_rows_7': 7, 'away team score_8': 8, '22.19 (151)_9': 9, 'str_eq_4': 4, 'str_hop_3': 3, 'argmax_2': 2, 'all_rows_10': 10, 'away team score_11': 11, 'date_12': 12, '1 june 1935_13': 13} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'max_0': 'max', 'all_rows_7': 'all_rows', 'away team score_8': 'away team score', '22.19 (151)_9': '22.19 ( 151 )', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'argmax_2': 'argmax', 'all_rows_10': 'all_rows', 'away team score_11': 'away team score', 'date_12': 'date'... | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'max_0': [1], 'all_rows_7': [0], 'away team score_8': [0], '22.19 (151)_9': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'argmax_2': [3], 'all_rows_10': [2], 'away team score_11': [2], 'date_12': [3], '1 june 1935_13': [4]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['collingwood', '23.11 ( 149 )', 'footscray', '14.14 ( 98 )', 'victoria park', '17500', '1 june 1935'], ['hawthorn', '14.9 ( 93 )', 'geelong', '22.19 ( 151 )', 'glenferrie oval', '9500', '1 june 1935'], ['south melbourne', '23.14 ( 152 )', 'fitzroy', '10.11 ( 71 )', 'lake oval', '33000', '1 june 1935'], ['melbourne', ... |
2008 - 09 s \ xc3 \ xbcper lig | https://en.wikipedia.org/wiki/2008%E2%80%9309_S%C3%BCper_Lig | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17356873-1.html.csv | count | a total of 18 teams participated in the 2008-09 lig . | {'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', 'team'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team record is arbitrary .', 'tostr': 'filter_all { all_rows ; team }'}], 'result': '18', 'ind': 1, 'tostr': 'count { filter_all { all_rows ; team } }', 'to... | eq { count { filter_all { all_rows ; team } } ; 18 } = true | select the rows whose team 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, 'team_5': 5, '18_6': 6} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_all_0': 'filter_all', 'all_rows_4': 'all_rows', 'team_5': 'team', '18_6': '18'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_all_0': [1], 'all_rows_4': [0], 'team_5': [0], '18_6': [2]} | ['team', 'head coach', 'team captain', 'venue', 'capacity', 'kitmaker', 'shirt sponsor', 'club chairman'] | [['ankaragücü', 'hakan kutlu', 'murat erdoğan', 'ankara 19 mayıs stadium', '19209', 'lotto', 'turkcell', 'cemal azmi aydın'], ['ankaraspor', 'aykut kocaman', 'hürriyet güçer', 'yenikent asaş stadium', '19626', 'nike', 'turkcell', 'ruhi kurnaz'], ['antalyaspor', 'mehmet özdilek', 'uğur kavuk', 'antalya atatürk stadium',... |
2010 - 11 uae pro - league | https://en.wikipedia.org/wiki/2010%E2%80%9311_UAE_Pro-League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27631756-2.html.csv | unique | dubai was the only team in the 2010 - 11 uae pro - league that did not have a shirt sponsor . | {'scope': 'all', 'row': '8', 'col': '6', 'col_other': '1', 'criterion': 'equal', 'value': 'n / a', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'shirt sponsor', 'n / a'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose shirt sponsor record fuzzily matches to n / a .', 'tostr': 'filter_eq { all_rows ; shirt sponsor ; n / a }'}], 'result': True, 'ind': 1... | and { only { filter_eq { all_rows ; shirt sponsor ; n / a } } ; eq { hop { filter_eq { all_rows ; shirt sponsor ; n / a } ; team } ; dubai } } = true | select the rows whose shirt sponsor record fuzzily matches to n / a . there is only one such row in the table . the team record of this unqiue row is dubai . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'shirt sponsor_7': 7, 'n / a_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'team_9': 9, 'dubai_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'shirt sponsor_7': 'shirt sponsor', 'n / a_8': 'n / a', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'team_9': 'team', 'dubai_10': 'dubai'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'shirt sponsor_7': [0], 'n / a_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'team_9': [2], 'dubai_10': [3]} | ['team', 'chairman', 'head coach', 'captain', 'kitmaker', 'shirt sponsor'] | [['al ahli', 'abdullah saeed al naboodah', 'abdul hamid al mistaki', 'fabio cannavaro', 'adidas', 'toshiba'], ['al jazira', 'mansour bin zayed al nahyan', 'abel braga', 'ibrahim diaky', 'adidas', 'ipic'], ['al wahda', 'sheikh saeed bin zayed al nahyan', 'josef hickersberger', 'bashir saeed', 'nike', 'emal'], ['al ain',... |
2005 lexmark indy 300 | https://en.wikipedia.org/wiki/2005_Lexmark_Indy_300 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15055045-2.html.csv | aggregation | in the 2005 lexmark indy 300 , drivers from forsythe racing scored a total of 8 points . | {'scope': 'subset', 'col': '6', 'type': 'sum', 'result': '8', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'forsythe racing'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', 'forsythe racing'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; team ; forsythe racing }', 'tointer': 'select the rows whose team record fuzzily matches to forsythe racing .'}, 'points'], 'result... | round_eq { sum { filter_eq { all_rows ; team ; forsythe racing } ; points } ; 8 } = true | select the rows whose team record fuzzily matches to forsythe racing . the sum of the points record of these rows is 8 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'team_5': 5, 'forsythe racing_6': 6, 'points_7': 7, '8_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', 'forsythe racing_6': 'forsythe racing', 'points_7': 'points', '8_8': '8'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'team_5': [0], 'forsythe racing_6': [0], 'points_7': [1], '8_8': [2]} | ['driver', 'team', 'laps', 'time / retired', 'grid', 'points'] | [['sébastien bourdais', 'newman / haas racing', '57', '1:39:26.671', '2', '34'], ['a j allmendinger', 'rusport', '57', '+ 9.130 secs', '6', '27'], ['jimmy vasser', 'pkv racing', '57', '+ 31.852 secs', '8', '25'], ['alex tagliani', 'team australia', '57', '+ 36.420 secs', '9', '23'], ['oriol servià', 'newman / haas raci... |
2007 - 08 san antonio spurs season | https://en.wikipedia.org/wiki/2007%E2%80%9308_San_Antonio_Spurs_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11963601-12.html.csv | aggregation | in the 2007-08 san antonio spurs season , the average number of points someone had when they had high points was 25 . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '25', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'high points'], 'result': '25', 'ind': 0, 'tostr': 'avg { all_rows ; high points }'}, '25'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; high points } ; 25 } = true', 'tointer': 'the average of the high points record of all rows is 2... | round_eq { avg { all_rows ; high points } ; 25 } = true | the average of the high points record of all rows is 25 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'high points_4': 4, '25_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'high points_4': 'high points', '25_5': '25'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'high points_4': [0], '25_5': [1]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'series'] | [['1', 'may 21', 'los angeles', '85 - 89', 'duncan ( 30 )', 'duncan ( 18 )', 'parker ( 6 )', 'staples center 18997', '0 - 1'], ['2', 'may 23', 'los angeles', '71 - 101', 'parker ( 13 )', 'duncan ( 16 )', 'duncan ( 4 )', 'staples center 18997', '0 - 2'], ['3', 'may 25', 'los angeles', '103 - 84', 'ginóbili ( 30 )', 'dun... |
gambrinus liga | https://en.wikipedia.org/wiki/Gambrinus_Liga | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2429942-2.html.csv | unique | the 2004-05 season was the only season of the gambrinus liga in which tomáš jun was the leading scorer . | {'scope': 'all', 'row': '12', 'col': '5', 'col_other': '1', 'criterion': 'fuzzily_match', 'value': 'tomáš jun', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'top goalscorer', 'tomáš jun'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose top goalscorer record fuzzily matches to tomáš jun .', 'tostr': 'filter_eq { all_rows ; top goalscorer ; tomáš jun }'}], 'result':... | and { only { filter_eq { all_rows ; top goalscorer ; tomáš jun } } ; eq { hop { filter_eq { all_rows ; top goalscorer ; tomáš jun } ; season } ; 2004 - 05 } } = true | select the rows whose top goalscorer record fuzzily matches to tomáš jun . there is only one such row in the table . the season record of this unqiue row is 2004 - 05 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'top goalscorer_7': 7, 'tomáš jun_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'season_9': 9, '2004 - 05_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'top goalscorer_7': 'top goalscorer', 'tomáš jun_8': 'tomáš jun', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'season_9': 'season', '2004 - 05_10': '2004 - 05'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'top goalscorer_7': [0], 'tomáš jun_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'season_9': [2], '2004 - 05_10': [3]} | ['season', 'champions', 'runner - up', 'third place', 'top goalscorer', 'club'] | [['1993 - 94', 'sparta prague ( 1 )', 'slavia prague', 'baník ostrava', 'horst siegl ( 20 )', 'sparta prague'], ['1994 - 95', 'sparta prague ( 2 )', 'slavia prague', 'fc brno', 'radek drulák ( 15 )', 'drnovice'], ['1995 - 96', 'slavia prague ( 1 )', 'sigma olomouc', 'baumit jablonec', 'radek drulák ( 22 )', 'drnovice']... |
2005 rhein fire season | https://en.wikipedia.org/wiki/2005_Rhein_Fire_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-25380472-2.html.csv | majority | the rhein fire lost most of their games in the 2005 season . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'l', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'final score', 'l'], 'result': True, 'ind': 0, 'tointer': 'for the final score records of all rows , most of them fuzzily match to l .', 'tostr': 'most_eq { all_rows ; final score ; l } = true'} | most_eq { all_rows ; final score ; l } = true | for the final score records of all rows , most of them fuzzily match to l . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'final score_3': 3, 'l_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'final score_3': 'final score', 'l_4': 'l'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'final score_3': [0], 'l_4': [0]} | ['week', 'date', 'kickoff', 'opponent', 'final score', 'team record', 'game site', 'attendance'] | [['1', 'saturday , april 2', '7:00 pm', 'amsterdam admirals', 'l 14 - 24', '0 - 1', 'amsterdam arena', '10234'], ['2', 'sunday , april 10', '4:00 pm', 'cologne centurions', 'l 10 - 23', '0 - 2', 'ltu arena', '25304'], ['3', 'saturday , april 16', '7:00 pm', 'hamburg sea devils', 'l 24 - 31', '0 - 3', 'aol arena', '1986... |
islands of the clyde | https://en.wikipedia.org/wiki/Islands_of_the_Clyde | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15252-1.html.csv | superlative | on the islands of the clyde , the highest population was the island of bute . | {'scope': 'all', 'col_superlative': '5', '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', 'population'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; population }'}, 'island'], 'result': 'bute', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; population } ; island }'}, 'bute'], 'result': True, 'ind': 2,... | eq { hop { argmax { all_rows ; population } ; island } ; bute } = true | select the row whose population record of all rows is maximum . the island record of this row is bute . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'population_5': 5, 'island_6': 6, 'bute_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'population_5': 'population', 'island_6': 'island', 'bute_7': 'bute'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'population_5': [0], 'island_6': [1], 'bute_7': [2]} | ['island', 'gaelic name', 'location', 'area ( ha )', 'population', 'last inhabited', 'height ( m )'] | [['ailsa craig', 'creag ealasaid', 'south ayrshire', '99', '0', '1980s', '338'], ['arran', 'arainn', 'arran', '43201', '4629', '-', '874'], ['bute', 'bòid', 'bute', '12217', '6498', '-', '278'], ['davaar', 'eilean dà bhàrr', 'kintyre', '52', '0', '-', '115'], ['great cumbrae', 'cumaradh mòr', 'bute', '1168', '1376', '-... |
andrei pavel | https://en.wikipedia.org/wiki/Andrei_Pavel | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1723598-5.html.csv | ordinal | the game which took place on september 18 , 2005 is the third newest game that anderi pavel played . | {'row': '3', 'col': '1', 'order': '3', 'col_other': 'n/a', 'max_or_min': 'max_to_min', 'value_mentioned': 'yes', 'scope': 'all', 'subset': None} | {'func': 'eq', 'args': [{'func': 'nth_max', 'args': ['all_rows', 'date', '3'], 'result': 'september 18 , 2005', 'ind': 0, 'tostr': 'nth_max { all_rows ; date ; 3 }', 'tointer': 'the 3rd maximum date record of all rows is september 18 , 2005 .'}, 'september 18 , 2005'], 'result': True, 'ind': 1, 'tostr': 'eq { nth_max {... | eq { nth_max { all_rows ; date ; 3 } ; september 18 , 2005 } = true | the 3rd maximum date record of all rows is september 18 , 2005 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'nth_max_0': 0, 'all_rows_3': 3, 'date_4': 4, '3_5': 5, 'september 18 , 2005_6': 6} | {'eq_1': 'eq', 'result_2': 'true', 'nth_max_0': 'nth_max', 'all_rows_3': 'all_rows', 'date_4': 'date', '3_5': '3', 'september 18 , 2005_6': 'september 18 , 2005'} | {'eq_1': [2], 'result_2': [], 'nth_max_0': [1], 'all_rows_3': [0], 'date_4': [0], '3_5': [0], 'september 18 , 2005_6': [1]} | ['date', 'tournament', 'surface', 'partnering', 'opponents in final', 'score in final'] | [['february 14 , 1999', 'st petersburg , russia', 'carpet', 'menno oosting', 'jeff tarango daniel vacek', '3 - 6 , 6 - 3 , 7 - 5'], ['january 10 , 2005', 'doha , qatar', 'hard', 'mikhail youzhny', 'albert costa rafael nadal', '6 - 3 , 4 - 6 , 6 - 3'], ['september 18 , 2005', 'bucharest , romania', 'clay', 'victor hănes... |
1956 cleveland browns season | https://en.wikipedia.org/wiki/1956_Cleveland_Browns_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10651573-1.html.csv | majority | the majority of games in the 1956 season ended in losses for the cleveland browns . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'l', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'result', 'l'], 'result': True, 'ind': 0, 'tointer': 'for the result records of all rows , most of them fuzzily match to l .', 'tostr': 'most_eq { all_rows ; result ; l } = true'} | most_eq { all_rows ; result ; l } = true | for the result records of all rows , most of them fuzzily match to l . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'result_3': 3, 'l_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'result_3': 'result', 'l_4': 'l'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'result_3': [0], 'l_4': [0]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'august 10 , 1956', 'college all - stars at chicago', 'w 26 - 0', '75000'], ['2', 'august 19 , 1956', 'san francisco 49ers', 'l 28 - 17', '38741'], ['3', 'august 24 , 1956', 'los angeles rams', 'l 17 - 6', '40175'], ['4', 'september 1 , 1956', 'green bay packers', 'l 21 - 20', '15456'], ['5', 'september 7 , 1956... |
mannar district | https://en.wikipedia.org/wiki/Mannar_District | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-24574438-1.html.csv | superlative | adampan has a larger area than all other main towns in the mannar district . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '3', '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', 'area ( km 2 )'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; area ( km 2 ) }'}, 'main town'], 'result': 'adampan', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; area ( km 2 ) } ; main town }'}, 'adampan'], 'res... | eq { hop { argmax { all_rows ; area ( km 2 ) } ; main town } ; adampan } = true | select the row whose area ( km 2 ) record of all rows is maximum . the main town record of this row is adampan . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'area (km 2 )_5': 5, 'main town_6': 6, 'adampan_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'area (km 2 )_5': 'area ( km 2 )', 'main town_6': 'main town', 'adampan_7': 'adampan'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'area (km 2 )_5': [0], 'main town_6': [1], 'adampan_7': [2]} | ['ds division', 'main town', 'gn divisions', 'area ( km 2 )', 'sri lankan tamil', 'sri lankan moors', 'sinhalese', 'indian tamil', 'other', 'total', 'population density ( / km 2 )'] | [['madhu', 'madhu', '17', '553', '6793', '559', '273', '5', '1', '7631', '14'], ['mannar', 'mannar', '49', '212', '40865', '8982', '953', '131', '6', '50937', '240'], ['manthai west', 'adampan', '36', '608', '12993', '1123', '337', '177', '0', '14630', '24'], ['musali', 'chilawathurai', '20', '475', '3042', '4818', '14... |
1994 fei world equestrian games | https://en.wikipedia.org/wiki/1994_FEI_World_Equestrian_Games | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11871998-2.html.csv | superlative | in the 1994 fei world equestrian games , germany ranks the highest . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'total'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; total }'}, 'nation'], 'result': 'germany', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; total } ; nation }'}, 'germany'], 'result': True, 'ind': 2, 'tostr':... | eq { hop { argmax { all_rows ; total } ; nation } ; germany } = true | select the row whose total record of all rows is maximum . the nation record of this row is germany . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'total_5': 5, 'nation_6': 6, 'germany_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'total_5': 'total', 'nation_6': 'nation', 'germany_7': 'germany'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'total_5': [0], 'nation_6': [1], 'germany_7': [2]} | ['nation', 'gold', 'silver', 'bronze', 'total'] | [['germany', '7', '4', '5', '16'], ['france', '1', '4', '1', '6'], ['united states', '1', '2', '1', '4'], ['netherlands', '1', '1', '3', '5'], ['united kingdom', '1', '1', '1', '3'], ['switzerland', '1', '-', '1', '2'], ['denmark', '1', '-', '-', '1'], ['new zealand', '1', '-', '-', '1'], ['belgium', '-', '1', '-', '1'... |
list of england national rugby union team results 2000 - 09 | https://en.wikipedia.org/wiki/List_of_England_national_rugby_union_team_results_2000%E2%80%9309 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18178551-1.html.csv | count | there were five occasions where the status of the 2000-09 england national rugby union team was six nations . | {'scope': 'all', 'criterion': 'equal', 'value': 'six nations', 'result': '5', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'status', 'six nations'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose status record fuzzily matches to six nations .', 'tostr': 'filter_eq { all_rows ; status ; six nations }'}], 'result': '5', 'ind': 1, 't... | eq { count { filter_eq { all_rows ; status ; six nations } } ; 5 } = true | select the rows whose status record fuzzily matches to six nations . the number of such rows is 5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'status_5': 5, 'six nations_6': 6, '5_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'status_5': 'status', 'six nations_6': 'six nations', '5_7': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'status_5': [0], 'six nations_6': [0], '5_7': [2]} | ['opposing teams', 'against', 'date', 'venue', 'status'] | [['ireland', '18', '05 / 02 / 2000', 'twickenham , london', 'six nations'], ['france', '9', '19 / 02 / 2000', 'stade de france , saint - denis', 'six nations'], ['wales', '12', '04 / 03 / 2000', 'twickenham , london', 'six nations'], ['italy', '12', '18 / 03 / 2000', 'stadio flaminio , rome', 'six nations'], ['scotland... |
ufc 94 | https://en.wikipedia.org/wiki/UFC_94 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16023995-1.html.csv | unique | only a single fight was ended by way of a knockout punch . | {'scope': 'all', 'row': '8', 'col': '5', 'col_other': 'n/a', 'criterion': 'equal', 'value': 'ko ( punch )', 'subset': None} | {'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'method', 'ko ( punch )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose method record fuzzily matches to ko ( punch ) .', 'tostr': 'filter_eq { all_rows ; method ; ko ( punch ) }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter... | only { filter_eq { all_rows ; method ; ko ( punch ) } } = true | select the rows whose method record fuzzily matches to ko ( punch ) . there is only one such row in the table . | 2 | 2 | {'only_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'method_4': 4, 'ko (punch)_5': 5} | {'only_1': 'only', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'method_4': 'method', 'ko (punch)_5': 'ko ( punch )'} | {'only_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'method_4': [0], 'ko (punch)_5': [0]} | ['card', 'weight class', 'round', 'time', 'method'] | [['preliminary', 'welterweight', '3', '5:00', 'decision ( split )'], ['preliminary', 'light heavyweight', '3', '5:00', 'decision ( split )'], ['preliminary', 'lightweight', '3', '5:00', 'decision ( unanimous )'], ['preliminary', 'welterweight', '3', '5:00', 'decision ( unanimous )'], ['main', 'lightweight', '3', '5:00'... |
2008 - 09 bundesliga | https://en.wikipedia.org/wiki/2008%E2%80%9309_Bundesliga | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17182686-3.html.csv | unique | out of all the outgoing managers , thomas doll is the only one to resign . | {'scope': 'all', 'row': '3', 'col': '3', 'col_other': '2', 'criterion': 'equal', 'value': 'resigned', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'manner of departure', 'resigned'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose manner of departure record fuzzily matches to resigned .', 'tostr': 'filter_eq { all_rows ; manner of departure ; resigned }'}... | and { only { filter_eq { all_rows ; manner of departure ; resigned } } ; eq { hop { filter_eq { all_rows ; manner of departure ; resigned } ; outgoing manager } ; thomas doll } } = true | select the rows whose manner of departure record fuzzily matches to resigned . there is only one such row in the table . the outgoing manager record of this unqiue row is thomas doll . | 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, 'resigned_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'outgoing manager_9': 9, 'thomas doll_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', 'resigned_8': 'resigned', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'outgoing manager_9': 'outgoing manager', 'thomas doll_10': 'thomas doll'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'manner of departure_7': [0], 'resigned_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'outgoing manager_9': [2], 'thomas doll_10': [3]} | ['team', 'outgoing manager', 'manner of departure', 'date of vacancy', 'replaced by', 'date of appointment', 'position in table'] | [['bayer 04 leverkusen', 'michael skibbe', 'sacked', '30 june 2008', 'bruno labbadia', '1 july 2008', 'pre - season'], ['fc bayern munich', 'ottmar hitzfeld', 'end of contract', '30 june 2008', 'jürgen klinsmann', '1 july 2008', 'pre - season'], ['borussia dortmund', 'thomas doll', 'resigned', '30 june 2008', 'jürgen k... |
1982 in film | https://en.wikipedia.org/wiki/1982_in_film | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-171649-1.html.csv | superlative | et the extra - terrestrial was the highest grossing film of 1982 . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '1', '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', 'gross'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; gross }'}, 'title'], 'result': 'et the extra - terrestrial', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; gross } ; title }'}, 'et the extra - terrestrial']... | eq { hop { argmax { all_rows ; gross } ; title } ; et the extra - terrestrial } = true | select the row whose gross record of all rows is maximum . the title record of this row is et the extra - terrestrial . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'gross_5': 5, 'title_6': 6, 'et the extra - terrestrial_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'gross_5': 'gross', 'title_6': 'title', 'et the extra - terrestrial_7': 'et the extra - terrestrial'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'gross_5': [0], 'title_6': [1], 'et the extra - terrestrial_7': [2]} | ['rank', 'title', 'studio', 'director', 'gross'] | [['1', 'et the extra - terrestrial', 'universal', 'steven spielberg', '435110554'], ['2', 'tootsie', 'columbia', 'sydney pollack', '177200000'], ['3', 'an officer and a gentleman', 'paramount / lorimar', 'taylor hackford', '129795554'], ['4', 'rocky iii', 'united artists', 'sylvester stallone', '125049125'], ['5', "por... |
wpxn - tv | https://en.wikipedia.org/wiki/WPXN-TV | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-188003-1.html.csv | majority | the majority of the wpxn - tv channels have a video resolution of 480i . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': '480i', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'video', '480i'], 'result': True, 'ind': 0, 'tointer': 'for the video records of all rows , most of them fuzzily match to 480i .', 'tostr': 'most_eq { all_rows ; video ; 480i } = true'} | most_eq { all_rows ; video ; 480i } = true | for the video records of all rows , most of them fuzzily match to 480i . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'video_3': 3, '480i_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'video_3': 'video', '480i_4': '480i'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'video_3': [0], '480i_4': [0]} | ['channel', 'video', 'aspect', 'psip short name', 'network'] | [['31.1', '720p', '16:9', 'ion', 'ion television'], ['31.2', '480i', '4:3', 'qubo', 'qubo'], ['31.3', '480i', '4:3', 'ionlife', 'ion life'], ['31.4', '480i', '4:3', 'shop', 'ion shop'], ['31.5', '480i', '4:3', 'qvc', 'qvc']] |
2007 pga championship | https://en.wikipedia.org/wiki/2007_PGA_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12333215-2.html.csv | comparative | of the past champions in the 2007 pga championship , bob tway previously won earlier than phil mickelson . | {'row_1': '6', 'row_2': '4', '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', 'player', 'bob tway'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record fuzzily matches to bob tway .', 'tostr': 'filter_eq { all_rows ; player ; bob tway }'}, 'year ( s ) won'], 'result': None... | less { hop { filter_eq { all_rows ; player ; bob tway } ; year ( s ) won } ; hop { filter_eq { all_rows ; player ; phil mickelson } ; year ( s ) won } } = true | select the rows whose player record fuzzily matches to bob tway . take the year ( s ) won record of this row . select the rows whose player record fuzzily matches to phil mickelson . take the year ( s ) won 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, 'player_7': 7, 'bob tway_8': 8, 'year (s) won_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'player_11': 11, 'phil mickelson_12': 12, 'year (s) won_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', 'player_7': 'player', 'bob tway_8': 'bob tway', 'year (s) won_9': 'year ( s ) won', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'player_11': 'player', '... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'player_7': [0], 'bob tway_8': [0], 'year (s) won_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'player_11': [1], 'phil mickelson_12': [1], 'year (s) won_13': [3]} | ['player', 'country', 'year ( s ) won', 'total', 'to par', 'finish'] | [['tiger woods', 'united states', '1999 , 2000 , 2006', '272', '8', '1'], ['john daly', 'united states', '1991', '286', '+ 6', 't32'], ['shaun micheel', 'united states', '2003', '286', '+ 6', 't32'], ['phil mickelson', 'united states', '2005', '286', '+ 6', 't32'], ['david toms', 'united states', '2001', '288', '+ 8', ... |
1987 - 88 coupe de france | https://en.wikipedia.org/wiki/1987%E2%80%9388_Coupe_de_France | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17747000-1.html.csv | comparative | stade quimperois scored more goals on their opponent in the tournament than rc lens did . | {'row_1': '7', 'row_2': '6', 'col': '2', '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 2', 'stade quimpérois ( d2 )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team 2 record fuzzily matches to stade quimpérois ( d2 ) .', 'tostr': 'filter_eq { all_rows ; team 2 ; stade quimpéro... | greater { hop { filter_eq { all_rows ; team 2 ; stade quimpérois ( d2 ) } ; score } ; hop { filter_eq { all_rows ; team 2 ; rc lens ( d1 ) } ; score } } = true | select the rows whose team 2 record fuzzily matches to stade quimpérois ( d2 ) . take the score record of this row . select the rows whose team 2 record fuzzily matches to rc lens ( d1 ) . 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 2_7': 7, 'stade quimpérois (d2)_8': 8, 'score_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'team 2_11': 11, 'rc lens (d1)_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 2_7': 'team 2', 'stade quimpérois (d2)_8': 'stade quimpérois ( d2 )', 'score_9': 'score', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'team ... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'team 2_7': [0], 'stade quimpérois (d2)_8': [0], 'score_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'team 2_11': [1], 'rc lens (d1)_12': [1], 'score_13': [3]} | ['team 1', 'score', 'team 2', '1st round', '2nd round'] | [['toulouse fc ( d1 )', '2 - 2', 'ogc nice ( d1 )', '1 - 1', '1 - 1'], ['lille osc ( d1 )', '2 - 2', 'aj auxerre ( d1 )', '1 - 0', '1 - 2'], ['montpellier hsc ( d1 )', '2 - 3', 'fc sochaux - montbéliard ( d2 )', '2 - 2', '0 - 1'], ['stade de reims ( d2 )', '2 - 1', 'le havre ac ( d1 )', '2 - 0', '0 - 1'], ['fc metz ( d... |
doves discography | https://en.wikipedia.org/wiki/Doves_discography | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10537807-4.html.csv | majority | most of the songs from doves discography come in a vinyl format . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'vinyl', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'formats', 'vinyl'], 'result': True, 'ind': 0, 'tointer': 'for the formats records of all rows , most of them fuzzily match to vinyl .', 'tostr': 'most_eq { all_rows ; formats ; vinyl } = true'} | most_eq { all_rows ; formats ; vinyl } = true | for the formats records of all rows , most of them fuzzily match to vinyl . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'formats_3': 3, 'vinyl_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'formats_3': 'formats', 'vinyl_4': 'vinyl'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'formats_3': [0], 'vinyl_4': [0]} | ['song', 'release date', 'release info', 'formats', 'album'] | [['here it comes', '2 august 1999', 'casino ( chip003 )', 'cd , 10 vinyl', 'here it comes ep'], ['the cedar room', '20 march 2000', 'heavenly ( hvn95 )', 'cd , 10 vinyl', 'lost souls'], ['catch the sun', '29 may 2000', 'heavenly ( hvn96 )', 'cd1 , cd2 , 10 vinyl', 'lost souls'], ['the man who told everything', '30 octo... |
list of oldenburg locomotives and railbuses | https://en.wikipedia.org/wiki/List_of_Oldenburg_locomotives_and_railbuses | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18842985-3.html.csv | count | there were three passenger and express train oldenburg locomotives that were manufactured between the years 1896 and 1914 with an axle arrangement 2 ' b n2v . | {'scope': 'subset', 'criterion': 'equal', 'value': '2 ′ b n2v', 'result': '3', 'col': '6', 'subset': {'col': '6', 'criterion': 'equal', 'value': '2 ′ b n2v'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'axle arrangement', '2 ′ b n2v'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; axle arrangement ; 2 ′ b n2v }', 'tointer': 'select the rows whose axle arrangement record fuz... | eq { count { filter_eq { filter_eq { all_rows ; axle arrangement ; 2 ′ b n2v } ; axle arrangement ; 2 ′ b n2v } } ; 3 } = true | select the rows whose axle arrangement record fuzzily matches to 2 ′ b n2v . among these rows , select the rows whose axle arrangement record fuzzily matches to 2 ′ b n2v . 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, 'axle arrangement_6': 6, '2′b n2v_7': 7, 'axle arrangement_8': 8, '2′b n2v_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', 'axle arrangement_6': 'axle arrangement', '2′b n2v_7': '2 ′ b n2v', 'axle arrangement_8': 'axle arrangement', '2′b n2v_9': '2 ′ b n2v', '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], 'axle arrangement_6': [0], '2′b n2v_7': [0], 'axle arrangement_8': [1], '2′b n2v_9': [1], '3_10': [3]} | ['class', 'railway number ( s )', 'drg number ( s )', 'quantity', 'year ( s ) of manufacture', 'axle arrangement'] | [['p 4 1', '107 - 111 , 116 , 129 - 134 , 139 - 144 , 150', '36 1201 - 1219', '19', '1896 - 1902', '2 ′ b n2'], ['p 4 2', '174 - 178 , 188 - 190', '36 1251 - 1258', '8', '1907 - 1909', '2 ′ b n2v'], ['p 8', '290 - 294', '38 3390 - 3394', '5', '1922', '2 ′ c h2'], ['s 3', '151 - 154 , 160 - 161', '13 1801 - 1806', '6', ... |
1934 vfl season | https://en.wikipedia.org/wiki/1934_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10790510-12.html.csv | ordinal | the third largest crowd in the 1934 vfl season was 13805 . | {'row': '1', 'col': '6', 'order': '3', 'col_other': 'n/a', 'max_or_min': 'max_to_min', 'value_mentioned': 'yes', 'scope': 'all', 'subset': None} | {'func': 'eq', 'args': [{'func': 'nth_max', 'args': ['all_rows', 'crowd', '3'], 'result': '13805', 'ind': 0, 'tostr': 'nth_max { all_rows ; crowd ; 3 }', 'tointer': 'the 3rd maximum crowd record of all rows is 13805 .'}, '13805'], 'result': True, 'ind': 1, 'tostr': 'eq { nth_max { all_rows ; crowd ; 3 } ; 13805 } = tru... | eq { nth_max { all_rows ; crowd ; 3 } ; 13805 } = true | the 3rd maximum crowd record of all rows is 13805 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'nth_max_0': 0, 'all_rows_3': 3, 'crowd_4': 4, '3_5': 5, '13805_6': 6} | {'eq_1': 'eq', 'result_2': 'true', 'nth_max_0': 'nth_max', 'all_rows_3': 'all_rows', 'crowd_4': 'crowd', '3_5': '3', '13805_6': '13805'} | {'eq_1': [2], 'result_2': [], 'nth_max_0': [1], 'all_rows_3': [0], 'crowd_4': [0], '3_5': [0], '13805_6': [1]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['melbourne', '13.23 ( 101 )', 'richmond', '14.11 ( 95 )', 'mcg', '13805', '28 july 1934'], ['collingwood', '13.19 ( 97 )', 'south melbourne', '21.19 ( 145 )', 'victoria park', '28000', '28 july 1934'], ['carlton', '22.13 ( 145 )', 'hawthorn', '10.6 ( 66 )', 'princes park', '12000', '28 july 1934'], ['st kilda', '13.6... |
henri leconte | https://en.wikipedia.org/wiki/Henri_Leconte | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1171445-6.html.csv | count | yannick noah was henri leconte 's doubles partner for 6 tournaments . | {'scope': 'all', 'criterion': 'equal', 'value': 'yannick noah', 'result': '6', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'partner', 'yannick noah'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose partner record fuzzily matches to yannick noah .', 'tostr': 'filter_eq { all_rows ; partner ; yannick noah }'}], 'result': '6', 'ind':... | eq { count { filter_eq { all_rows ; partner ; yannick noah } } ; 6 } = true | select the rows whose partner record fuzzily matches to yannick noah . 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, 'partner_5': 5, 'yannick noah_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', 'partner_5': 'partner', 'yannick noah_6': 'yannick noah', '6_7': '6'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'partner_5': [0], 'yannick noah_6': [0], '6_7': [2]} | ['outcome', 'date', 'tournament', 'surface', 'partner', 'opponents in the final', 'score in the final'] | [['winner', '1981', 'bologna , italy', 'carpet', 'sammy giammalva jr', 'tomáš šmíd balázs taróczy', '7 - 6 , 6 - 4'], ['winner', '1982', 'nice , france', 'clay', 'yannick noah', 'paul mcnamee balázs taróczy', '5 - 7 , 6 - 4 , 6 - 3'], ['runner - up', '1982', 'bournemouth , england', 'clay', 'ilie năstase', 'paul mcname... |
wru division four east | https://en.wikipedia.org/wiki/WRU_Division_Four_East | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-13741576-4.html.csv | aggregation | for the four east , wru division , the total number of matches won was 128 . | {'scope': 'all', 'col': '3', 'type': 'sum', 'result': '128', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'won'], 'result': '128', 'ind': 0, 'tostr': 'sum { all_rows ; won }'}, '128'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; won } ; 128 } = true', 'tointer': 'the sum of the won record of all rows is 128 .'} | round_eq { sum { all_rows ; won } ; 128 } = true | the sum of the won record of all rows is 128 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'won_4': 4, '128_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'won_4': 'won', '128_5': '128'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'won_4': [0], '128_5': [1]} | ['club', 'played', 'won', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'] | [['club', 'played', 'won', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'], ['llandaff rfc', '22', '19', '0', '3', '529', '212', '81', '26', '9', '3', '88'], ['tredegar ironsides rfc', '22', '18', '1', '3', '726', '196', '107', '18', '10', '1', '85']... |
1955 - 56 segunda división | https://en.wikipedia.org/wiki/1955%E2%80%9356_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17608926-2.html.csv | ordinal | club sestao was the football club that had the second most losses in the 1955 - 56 segunda división . | {'row': '15', 'col': '7', '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', 'losses', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; losses ; 2 }'}, 'club'], 'result': 'club sestao', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; losses ; 2 } ; club }'}, 'club sestao'], 'r... | eq { hop { nth_argmax { all_rows ; losses ; 2 } ; club } ; club sestao } = true | select the row whose losses record of all rows is 2nd maximum . the club record of this row is club sestao . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'losses_5': 5, '2_6': 6, 'club_7': 7, 'club sestao_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', 'losses_5': 'losses', '2_6': '2', 'club_7': 'club', 'club sestao_8': 'club sestao'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'losses_5': [0], '2_6': [0], 'club_7': [1], 'club sestao_8': [2]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'ca osasuna', '30', '42', '17', '8', '5', '76', '33', '+ 43'], ['2', 'real oviedo', '30', '41', '18', '5', '7', '78', '33', '+ 45'], ['3', 'real zaragoza', '30', '40', '18', '4', '8', '57', '27', '+ 30'], ['4', 'caudal deportivo', '30', '34', '13', '8', '9', '49', '37', '+ 12'], ['5', 'cd sabadell cf', '30', '33... |
malta in the eurovision song contest 2008 | https://en.wikipedia.org/wiki/Malta_in_the_Eurovision_Song_Contest_2008 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14417482-1.html.csv | aggregation | morena camilleri had an average of third place for malta in the eurovision song contest 2008 . | {'scope': 'subset', 'col': '7', 'type': 'average', 'result': '3', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'morena camilleri'}} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'artist', 'morena camilleri'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; artist ; morena camilleri }', 'tointer': 'select the rows whose artist record fuzzily matches to morena camilleri .'}, 'place'],... | round_eq { avg { filter_eq { all_rows ; artist ; morena camilleri } ; place } ; 3 } = true | select the rows whose artist record fuzzily matches to morena camilleri . the average of the place record of these rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'avg_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'artist_5': 5, 'morena camilleri_6': 6, 'place_7': 7, '3_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'avg_1': 'avg', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'artist_5': 'artist', 'morena camilleri_6': 'morena camilleri', 'place_7': 'place', '3_8': '3'} | {'eq_2': [3], 'result_3': [], 'avg_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'artist_5': [0], 'morena camilleri_6': [0], 'place_7': [1], '3_8': [2]} | ['draw', 'artist', 'song', 'jury', 'televote', 'total', 'place'] | [['1', 'eleonor cassar', 'give me a chance', '49', '3821', '50', '4'], ['2', 'claudia faniello', 'caravaggio', '49', '12714', '68', '2'], ['3', 'petra zammit', 'street car of desire', '39', '3421', '28', '6'], ['4', 'morena camilleri', 'casanova', '40', '3607', '38', '5'], ['5', 'klinsmann coleiro', 'go', '43', '3299',... |
united states house of representatives elections , 1970 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1970 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341718-34.html.csv | aggregation | the average percent of re-elected candidates is 58.3 % . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '58.3', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'candidates'], 'result': '58.3', 'ind': 0, 'tostr': 'avg { all_rows ; candidates }'}, '58.3'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; candidates } ; 58.3 } = true', 'tointer': 'the average of the candidates record of all rows is... | round_eq { avg { all_rows ; candidates } ; 58.3 } = true | the average of the candidates record of all rows is 58.3 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'candidates_4': 4, '58.3_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'candidates_4': 'candidates', '58.3_5': '58.3'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'candidates_4': [0], '58.3_5': [1]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['north carolina 2', 'lawrence h fountain', 'democratic', '1952', 're - elected', 'lawrence h fountain ( d ) unopposed'], ['north carolina 4', 'nick galifianakis', 'democratic', '1966', 're - elected', 'nick galifianakis ( d ) 52.4 % jack hawke ( r ) 47.6 %'], ['north carolina 5', 'wilmer mizell', 'republican', '1968'... |
2010 - 11 buffalo sabres season | https://en.wikipedia.org/wiki/2010%E2%80%9311_Buffalo_Sabres_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27537870-3.html.csv | count | the buffalo sabres played against the chicago blackhawks two times . | {'scope': 'all', 'criterion': 'equal', 'value': 'chicago blackhawks', 'result': '2', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'chicago blackhawks'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent record fuzzily matches to chicago blackhawks .', 'tostr': 'filter_eq { all_rows ; opponent ; chicago blackhawks }'}], ... | eq { count { filter_eq { all_rows ; opponent ; chicago blackhawks } } ; 2 } = true | select the rows whose opponent record fuzzily matches to chicago blackhawks . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'opponent_5': 5, 'chicago blackhawks_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'opponent_5': 'opponent', 'chicago blackhawks_6': 'chicago blackhawks', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'opponent_5': [0], 'chicago blackhawks_6': [0], '2_7': [2]} | ['game', 'october', 'opponent', 'score', 'decision', 'location / attendance', 'record'] | [['1', '8', 'ottawa senators', '2 - 1', 'miller', 'scotiabank place / 19350', '1 - 0 - 0'], ['2', '9', 'new york rangers', '3 - 6', 'miller', 'hsbc arena / 18690', '1 - 1 - 0'], ['3', '11', 'chicago blackhawks', '3 - 4', 'miller', 'hsbc arena / 17896', '1 - 2 - 0'], ['4', '13', 'new jersey devils', '0 - 1 ( ot )', 'mil... |
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 | superlative | sunday , may 29 was the only game in the 2005 season where there were more than 30000 fans at the game . | {'scope': 'all', 'col_superlative': '8', 'row_superlative': '9', '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': 'sunday , may 29', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; attendance } ; date }'}, 'sunday , may 29'], 'result... | eq { hop { argmax { all_rows ; attendance } ; date } ; sunday , may 29 } = true | select the row whose attendance record of all rows is maximum . the date record of this row is sunday , may 29 . | 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, 'sunday , may 29_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', 'sunday , may 29_7': 'sunday , may 29'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'attendance_5': [0], 'date_6': [1], 'sunday , may 29_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 australian carrera cup championship | https://en.wikipedia.org/wiki/2008_Australian_Carrera_Cup_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18333905-2.html.csv | count | in the 2008 australian carrera cup championship , among the curcuits won by craig baird , 2 of them were located in melbourne , victoria . | {'scope': 'subset', 'criterion': 'equal', 'value': 'melbourne , victoria', 'result': '2', 'col': '4', 'subset': {'col': '5', 'criterion': 'equal', 'value': 'craig baird'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'winning driver', 'craig baird'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; winning driver ; craig baird }', 'tointer': 'select the rows whose winning driver record fuzzi... | eq { count { filter_eq { filter_eq { all_rows ; winning driver ; craig baird } ; location ; melbourne , victoria } } ; 2 } = true | select the rows whose winning driver record fuzzily matches to craig baird . among these rows , select the rows whose location record fuzzily matches to melbourne , victoria . the number of such rows is 2 . | 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, 'winning driver_6': 6, 'craig baird_7': 7, 'location_8': 8, 'melbourne , victoria_9': 9, '2_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', 'winning driver_6': 'winning driver', 'craig baird_7': 'craig baird', 'location_8': 'location', 'melbourne , victoria_9': 'melbourne , victoria', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'winning driver_6': [0], 'craig baird_7': [0], 'location_8': [1], 'melbourne , victoria_9': [1], '2_10': [3]} | ['round', 'date', 'circuit', 'location', 'winning driver'] | [['1', '21 - 24 february', 'adelaide street circuit', 'adelaide , south australia', 'craig baird'], ['2', '13 - 16 march', 'albert park street circuit', 'melbourne , victoria', 'craig baird'], ['3', '4 - 6 april', 'wakefield park', 'goulburn , new south wales', 'aaron caratti'], ['4', '9 - 11 may', 'barbagallo raceway'... |
1974 vfl season | https://en.wikipedia.org/wiki/1974_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10869646-12.html.csv | comparative | north melbourne had a higher home team score than essendon in the 1974 vfl season . | {'row_1': '1', 'row_2': '4', 'col': '2', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'home team', 'north melbourne'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose home team record fuzzily matches to north melbourne .', 'tostr': 'filter_eq { all_rows ; home team ; north melbourne }'}, ... | greater { hop { filter_eq { all_rows ; home team ; north melbourne } ; home team score } ; hop { filter_eq { all_rows ; home team ; essendon } ; home team score } } = true | select the rows whose home team record fuzzily matches to north melbourne . take the home team score record of this row . select the rows whose home team record fuzzily matches to essendon . take the home team score record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'home team_7': 7, 'north melbourne_8': 8, 'home team score_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'home team_11': 11, 'essendon_12': 12, 'home team score_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'home team_7': 'home team', 'north melbourne_8': 'north melbourne', 'home team score_9': 'home team score', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_r... | {'greater_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'home team_7': [0], 'north melbourne_8': [0], 'home team score_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'home team_11': [1], 'essendon_12': [1], 'home team score_13': [3]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['north melbourne', '28.17 ( 185 )', 'south melbourne', '12.7 ( 79 )', 'arden street oval', '9016', '22 june 1974'], ['hawthorn', '19.17 ( 131 )', 'richmond', '15.18 ( 108 )', 'princes park', '15710', '22 june 1974'], ['fitzroy', '13.14 ( 92 )', 'st kilda', '12.15 ( 87 )', 'junction oval', '12519', '22 june 1974'], ['... |
greater antilles | https://en.wikipedia.org/wiki/Greater_Antilles | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-298550-1.html.csv | majority | all of the countries of the greater antilles have a population density larger than 100 per km square . | {'scope': 'all', 'col': '4', 'most_or_all': 'all', 'criterion': 'greater_than', 'value': '100', 'subset': None} | {'func': 'all_greater', 'args': ['all_rows', 'population density ( per km square )', '100'], 'result': True, 'ind': 0, 'tointer': 'for the population density ( per km square ) records of all rows , all of them are greater than 100 .', 'tostr': 'all_greater { all_rows ; population density ( per km square ) ; 100 } = tru... | all_greater { all_rows ; population density ( per km square ) ; 100 } = true | for the population density ( per km square ) records of all rows , all of them are greater than 100 . | 1 | 1 | {'all_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'population density (per km square)_3': 3, '100_4': 4} | {'all_greater_0': 'all_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'population density (per km square)_3': 'population density ( per km square )', '100_4': '100'} | {'all_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'population density (per km square)_3': [0], '100_4': [0]} | ['country with flag', 'area ( km square )', 'population ( 1 july 2005 est )', 'population density ( per km square )', 'capital'] | [['cuba', '110860', '11346670', '102.4', 'havana'], ['cayman islands ( uk )', '264', '54878', '207.9', 'george town'], ['dominican republic', '48730', '8950034', '183.7', 'santo domingo'], ['haiti', '27750', '8121622', '292.7', 'port - au - prince'], ['jamaica', '10991', '2731832', '248.6', 'kingston'], ['puerto rico (... |
fiji national rugby union team | https://en.wikipedia.org/wiki/Fiji_national_rugby_union_team | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1074616-7.html.csv | count | 10 players are listed in the fiji national rugby union team . | {'scope': 'all', 'criterion': 'all', 'value': 'n/a', 'result': '10', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_all', 'args': ['all_rows', 'player'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record is arbitrary .', 'tostr': 'filter_all { all_rows ; player }'}], 'result': '10', 'ind': 1, 'tostr': 'count { filter_all { all_rows ; player }... | eq { count { filter_all { all_rows ; player } } ; 10 } = true | select the rows whose player record is arbitrary . the number of such rows is 10 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_all_0': 0, 'all_rows_4': 4, 'player_5': 5, '10_6': 6} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_all_0': 'filter_all', 'all_rows_4': 'all_rows', 'player_5': 'player', '10_6': '10'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_all_0': [1], 'all_rows_4': [0], 'player_5': [0], '10_6': [2]} | ['player', 'span', 'start', 'tries', 'conv', 'pens', 'drop'] | [['nicky little', '1996 - 2011', '60', '2', '117', '140', '2'], ['seremaia bai', '2000 -', '44', '4', '47', '51', '1'], ['severo koroduadua waqanibau', '1982 - 1991', '27', '0', '56', '47', '5'], ['waisale serevi', '1989 - 2003', '23', '11', '40', '27', '3'], ['taniela rawaqa', '2007 - 2011', '12', '4', '19', '15', '0'... |
list of luxembourgish submissions for the academy award for best foreign language film | https://en.wikipedia.org/wiki/List_of_Luxembourgish_submissions_for_the_Academy_Award_for_Best_Foreign_Language_Film | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-22073745-1.html.csv | comparative | back in trouble was submitted for the luxembourgish academy award earlier than the renart the fox film . | {'row_1': '2', 'row_2': '4', 'col': '1', 'col_other': '2', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'film title used in nomination', 'back in trouble'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose film title used in nomination record fuzzily matches to back in trouble .', 'tostr': 'filter_eq { all_row... | less { hop { filter_eq { all_rows ; film title used in nomination ; back in trouble } ; year ( ceremony ) } ; hop { filter_eq { all_rows ; film title used in nomination ; renart the fox } ; year ( ceremony ) } } = true | select the rows whose film title used in nomination record fuzzily matches to back in trouble . take the year ( ceremony ) record of this row . select the rows whose film title used in nomination record fuzzily matches to renart the fox . take the year ( ceremony ) record of this row . the first record is less than the... | 5 | 5 | {'less_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'film title used in nomination_7': 7, 'back in trouble_8': 8, 'year (ceremony)_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'film title used in nomination_11': 11, 'renart the fox_12': 12, 'year (ceremony)_13': 13} | {'less_4': 'less', 'result_5': 'true', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'film title used in nomination_7': 'film title used in nomination', 'back in trouble_8': 'back in trouble', 'year (ceremony)_9': 'year ( ceremony )', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'f... | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'film title used in nomination_7': [0], 'back in trouble_8': [0], 'year (ceremony)_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'film title used in nomination_11': [1], 'renart the fox_12': [1], 'year ... | ['year ( ceremony )', 'film title used in nomination', 'original title', 'languages', 'director', 'result'] | [['1997 ( 70th )', 'elles', 'elles', 'french , portuguese', 'luís galvão teles', 'not nominated'], ['1998 ( 71st )', 'back in trouble', 'back in trouble', 'lëtzebuergesch , german', 'andy bausch', 'not nominated'], ['2003 ( 76th )', 'i always wanted to be a saint', "j' ai toujours voulu être une sainte", 'french', 'gen... |
damage to major ships at the battle of jutland | https://en.wikipedia.org/wiki/Damage_to_major_ships_at_the_Battle_of_Jutland | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15968208-6.html.csv | comparative | the german ship lützow sustained a higher number of total damages compared to seydlitz ship in the battle of jutland . | {'row_1': '1', 'row_2': '3', 'col': '5', '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', 'ship', 'lützow'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose ship record fuzzily matches to lützow .', 'tostr': 'filter_eq { all_rows ; ship ; lützow }'}, 'total'], 'result': None, 'ind': 2, 'tostr... | greater { hop { filter_eq { all_rows ; ship ; lützow } ; total } ; hop { filter_eq { all_rows ; ship ; seydlitz } ; total } } = true | select the rows whose ship record fuzzily matches to lützow . take the total record of this row . select the rows whose ship record fuzzily matches to seydlitz . take the total 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, 'ship_7': 7, 'lützow_8': 8, 'total_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'ship_11': 11, 'seydlitz_12': 12, 'total_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', 'ship_7': 'ship', 'lützow_8': 'lützow', 'total_9': 'total', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'ship_11': 'ship', 'seydlitz_12': 'seydlit... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'ship_7': [0], 'lützow_8': [0], 'total_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'ship_11': [1], 'seydlitz_12': [1], 'total_13': [3]} | ['ship', '13.5 - inch / 1400lb', '13.5 - inch / 1250lb', '12 - inch', 'total'] | [['lützow', '0', '2', '8', '10'], ['derfflinger', '0', '0', '3', '3'], ['seydlitz', '0', '0', '1', '1'], ['könig', '7', '1', '0', '8'], ['markgraf', '0', '1', '0', '1'], ['total', '7', '4', '12', '23']] |
list of england national rugby union team results 1990 - 99 | https://en.wikipedia.org/wiki/List_of_England_national_rugby_union_team_results_1990%E2%80%9399 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18178534-3.html.csv | unique | only one match was played in january of 1992 . | {'scope': 'all', 'row': '2', 'col': '3', 'col_other': 'n/a', 'criterion': 'equal', 'value': '01/1992', 'subset': None} | {'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', '01/1992'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to 01/1992 .', 'tostr': 'filter_eq { all_rows ; date ; 01/1992 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; date... | only { filter_eq { all_rows ; date ; 01/1992 } } = true | select the rows whose date record fuzzily matches to 01/1992 . there is only one such row in the table . | 2 | 2 | {'only_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'date_4': 4, '01/1992_5': 5} | {'only_1': 'only', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'date_4': 'date', '01/1992_5': '01/1992'} | {'only_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'date_4': [0], '01/1992_5': [0]} | ['opposing teams', 'against', 'date', 'venue', 'status'] | [['scotland', '7', '18 / 01 / 1992', 'murrayfield , edinburgh', 'five nations'], ['ireland', '9', '01 / 02 / 1992', 'twickenham , london', 'five nations'], ['france', '13', '15 / 02 / 1992', 'parc des princes , paris', 'five nations'], ['wales', '0', '07 / 03 / 1992', 'twickenham , london', 'five nations'], ['canada', ... |
list of birmingham city f.c. records and statistics | https://en.wikipedia.org/wiki/List_of_Birmingham_City_F.C._records_and_statistics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15702100-2.html.csv | count | two players played for birmingham city f. c. in the 1920s . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': '192', 'result': '2', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'years', '192'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose years record fuzzily matches to 192 .', 'tostr': 'filter_eq { all_rows ; years ; 192 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq {... | eq { count { filter_eq { all_rows ; years ; 192 } } ; 2 } = true | select the rows whose years record fuzzily matches to 192 . 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, 'years_5': 5, '192_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', 'years_5': 'years', '192_6': '192', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'years_5': [0], '192_6': [0], '2_7': [2]} | ['name', 'years', 'league a', 'fa cup', 'league cup', 'other b', 'total'] | [['joe bradford', '1920 - 1935', '249 ( 414 )', '18 ( 31 )', '0 ( 0 )', '0 ( 0 )', '267 ( 445 )'], ['trevor francis', '1970 - 1979', '119 ( 280 )', '6 ( 20 )', '4 ( 19 )', '4 ( 10 )', '133 ( 329 )'], ['peter murphy', '1952 - 1960', '107 ( 245 )', '16 ( 24 )', '0 ( 0 )', '4 ( 9 )', '127 ( 278 )'], ['fred wheldon', '1890... |
kleshas ( buddhism ) | https://en.wikipedia.org/wiki/Kleshas_%28Buddhism%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1782201-1.html.csv | count | there are five kinds of poisons in mahayana buddhism . | {'scope': 'all', 'criterion': 'all', 'value': 'n/a', 'result': '5', 'col': '1', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_all', 'args': ['all_rows', 'poison / klesha'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose poison / klesha record is arbitrary .', 'tostr': 'filter_all { all_rows ; poison / klesha }'}], 'result': '5', 'ind': 1, 'tostr': 'count { filter... | eq { count { filter_all { all_rows ; poison / klesha } } ; 5 } = true | select the rows whose poison / klesha record is arbitrary . the number of such rows is 5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_all_0': 0, 'all_rows_4': 4, 'poison / klesha_5': 5, '5_6': 6} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_all_0': 'filter_all', 'all_rows_4': 'all_rows', 'poison / klesha_5': 'poison / klesha', '5_6': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_all_0': [1], 'all_rows_4': [0], 'poison / klesha_5': [0], '5_6': [2]} | ['poison / klesha', 'sanskrit', 'pali', 'tibetan', 'alternate translations'] | [['ignorance', 'moha avidya', 'moha avijja', 'gti mug ma rig pa', 'confusion , bewilderment , delusion'], ['attachment', 'r훮ga', 'lobha', "' dod chags", 'desire , passion'], ['aversion', 'dvesha', 'dosa', 'zhe sdang', 'anger , hatred'], ['pride', 'm훮na', 'm훮na', 'nga rgyal', 'arrogance , conceit'], ['jealousy', 'irshya... |
deputy minister handicap | https://en.wikipedia.org/wiki/Deputy_Minister_Handicap | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16828302-1.html.csv | ordinal | native heir recorded the fastest time in the deputy minister handicap race . | {'row': '5', 'col': '6', 'order': '1', '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', 'time', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; time ; 1 }'}, 'winner'], 'result': 'native heir', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; time ; 1 } ; winner }'}, 'native heir'], 'res... | eq { hop { nth_argmin { all_rows ; time ; 1 } ; winner } ; native heir } = true | select the row whose time record of all rows is 1st minimum . the winner record of this row is native heir . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'time_5': 5, '1_6': 6, 'winner_7': 7, 'native heir_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', 'time_5': 'time', '1_6': '1', 'winner_7': 'winner', 'native heir_8': 'native heir'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'time_5': [0], '1_6': [0], 'winner_7': [1], 'native heir_8': [2]} | ['year', 'winner', 'jockey', 'trainer', 'owner', 'time'] | [['2007', 'keyed entry', 'john velazquez', 'anthony j sciametta , jr', 'starlight stable et al', '1:15:72'], ['2006', 'universal form', 'manoel cruz', 'elliston rolle', 'universal xperience', '1:16.48'], ['2005', 'medallist', 'jose santos', 'h allen jerkens', 'robert clay', '1:15.62'], ['2004', 'alke', 'john velazquez'... |
tatyana chernova | https://en.wikipedia.org/wiki/Tatyana_Chernova | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16165314-1.html.csv | majority | tatyana chernova ended in 1st place more than any other position between 2005 and 2013 . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'equal', 'value': '1st', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'position', '1st'], 'result': True, 'ind': 0, 'tointer': 'for the position records of all rows , most of them fuzzily match to 1st .', 'tostr': 'most_eq { all_rows ; position ; 1st } = true'} | most_eq { all_rows ; position ; 1st } = true | for the position records of all rows , most of them fuzzily match to 1st . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'position_3': 3, '1st_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'position_3': 'position', '1st_4': '1st'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'position_3': [0], '1st_4': [0]} | ['year', 'competition', 'venue', 'position', 'notes'] | [['2005', 'world youth championships', 'marrakech , morocco', '1st', 'heptathlon'], ['2006', 'world junior championships', 'beijing , pr china', '1st', 'heptathlon , 6227 = pb'], ['2007', 'world championships', 'osaka , japan', 'dnf', 'heptathlon'], ['2008', 'world indoor championships', 'valencia , spain', '7th', 'pen... |
peaches & herb | https://en.wikipedia.org/wiki/Peaches_%26_Herb | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1862179-1.html.csv | majority | the majority of releases by the duo peaches & herb were in the country of the usa . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'usa', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'country of release', 'usa'], 'result': True, 'ind': 0, 'tointer': 'for the country of release records of all rows , most of them fuzzily match to usa .', 'tostr': 'most_eq { all_rows ; country of release ; usa } = true'} | most_eq { all_rows ; country of release ; usa } = true | for the country of release records of all rows , most of them fuzzily match to usa . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'country of release_3': 3, 'usa_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'country of release_3': 'country of release', 'usa_4': 'usa'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'country of release_3': [0], 'usa_4': [0]} | ['title', 'label', 'year of release', 'country of release', 'peaches :'] | [['for your love', 'date', '1967', 'usa', 'francine barker'], ["let 's fall in love", 'date', '1967', 'usa', 'francine barker'], ['peaches & herb', 'mca', '1977', 'usa', 'linda greene'], ['2 hot', 'mvp / polydor', '1978', 'usa', 'linda greene'], ['twice the fire', 'mvp / polydor', '1979', 'usa', 'linda greene'], ['dema... |
magnus larsson | https://en.wikipedia.org/wiki/Magnus_Larsson | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1728546-3.html.csv | unique | 2004 was the only year that magnus larsson failed to have a top 1000 year end ranking . | {'scope': 'all', 'row': '20', 'col': '18', 'col_other': '1', 'criterion': 'greater_than', 'value': '1000', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_greater', 'args': ['all_rows', '2004', '1000'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose 2004 record is greater than 1000 .', 'tostr': 'filter_greater { all_rows ; 2004 ; 1000 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_g... | and { only { filter_greater { all_rows ; 2004 ; 1000 } } ; eq { hop { filter_greater { all_rows ; 2004 ; 1000 } ; tournament } ; year end ranking } } = true | select the rows whose 2004 record is greater than 1000 . there is only one such row in the table . the tournament record of this unqiue row is year end ranking . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_greater_0': 0, 'all_rows_6': 6, '2004_7': 7, '1000_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'tournament_9': 9, 'year end ranking_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_greater_0': 'filter_greater', 'all_rows_6': 'all_rows', '2004_7': '2004', '1000_8': '1000', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'tournament_9': 'tournament', 'year end ranking_10': 'year end ranking'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_greater_0': [1, 2], 'all_rows_6': [0], '2004_7': [0], '1000_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'tournament_9': [2], 'year end ranking_10': [3]} | ['tournament', '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995', '1996', '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004', 'career sr', 'career win - loss'] | [['grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams'], ['australian open... |
kansas collegiate athletic conference | https://en.wikipedia.org/wiki/Kansas_Collegiate_Athletic_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-262527-1.html.csv | aggregation | kansas collegiate athletic conference schools founded after 1884 had a total enrollment of 7,500 . | {'scope': 'subset', 'col': '5', 'type': 'sum', 'result': '7,500', 'subset': {'col': '3', 'criterion': 'greater_than', 'value': '1884'}} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'founded', '1884'], 'result': None, 'ind': 0, 'tostr': 'filter_greater { all_rows ; founded ; 1884 }', 'tointer': 'select the rows whose founded record is greater than 1884 .'}, 'enrollment'], 'result': '7,500', 'ind'... | round_eq { sum { filter_greater { all_rows ; founded ; 1884 } ; enrollment } ; 7,500 } = true | select the rows whose founded record is greater than 1884 . the sum of the enrollment record of these rows is 7,500 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'sum_1': 1, 'filter_greater_0': 0, 'all_rows_4': 4, 'founded_5': 5, '1884_6': 6, 'enrollment_7': 7, '7,500_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'sum_1': 'sum', 'filter_greater_0': 'filter_greater', 'all_rows_4': 'all_rows', 'founded_5': 'founded', '1884_6': '1884', 'enrollment_7': 'enrollment', '7,500_8': '7,500'} | {'eq_2': [3], 'result_3': [], 'sum_1': [2], 'filter_greater_0': [1], 'all_rows_4': [0], 'founded_5': [0], '1884_6': [0], 'enrollment_7': [1], '7,500_8': [2]} | ['institution', 'location', 'founded', 'type', 'enrollment', 'nickname', 'joined'] | [['bethany college', 'lindsborg , kansas', '1881', 'private', '500', 'swedes', '1902'], ['bethel college', 'north newton , kansas', '1887', 'private', '500', 'threshers', '1902 1'], ['friends university', 'wichita , kansas', '1898', 'private', '3000', 'falcons', '1902 2'], ['kansas wesleyan university', 'salina , kansa... |
2008 world men 's curling championship | https://en.wikipedia.org/wiki/2008_World_Men%27s_Curling_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1644857-2.html.csv | ordinal | david murdoch had the 2nd highest shot % in the 2008 world men 's curling championship . | {'row': '2', 'col': '7', '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', 'shot %', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; shot % ; 2 }'}, 'skip'], 'result': 'david murdoch', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; shot % ; 2 } ; skip }'}, 'david murdoch']... | eq { hop { nth_argmax { all_rows ; shot % ; 2 } ; skip } ; david murdoch } = true | select the row whose shot % record of all rows is 2nd maximum . the skip record of this row is david murdoch . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'shot %_5': 5, '2_6': 6, 'skip_7': 7, 'david murdoch_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', 'shot %_5': 'shot %', '2_6': '2', 'skip_7': 'skip', 'david murdoch_8': 'david murdoch'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'shot %_5': [0], '2_6': [0], 'skip_7': [1], 'david murdoch_8': [2]} | ['country', 'skip', 'ends won', 'ends lost', 'blank ends', 'stolen ends', 'shot %'] | [['canada', 'kevin martin', '49', '37', '10', '14', '87'], ['scotland', 'david murdoch', '46', '38', '20', '10', '85'], ['china', 'wang fengchun', '43', '43', '18', '9', '81'], ['norway', 'thomas ulsrud', '52', '47', '10', '11', '84'], ['france', 'thomas dufour', '42', '35', '18', '11', '78'], ['australia', 'hugh milli... |
1967 syracuse orangemen football team | https://en.wikipedia.org/wiki/1967_Syracuse_Orangemen_football_team | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-20850339-1.html.csv | aggregation | the average score of the 1967 syracuse orangemen football team was 19.77 . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '19.77', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'orangemen points'], 'result': '19.77', 'ind': 0, 'tostr': 'avg { all_rows ; orangemen points }'}, '19.77'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; orangemen points } ; 19.77 } = true', 'tointer': 'the average of the orangemen p... | round_eq { avg { all_rows ; orangemen points } ; 19.77 } = true | the average of the orangemen points record of all rows is 19.77 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'orangemen points_4': 4, '19.77_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'orangemen points_4': 'orangemen points', '19.77_5': '19.77'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'orangemen points_4': [0], '19.77_5': [1]} | ['game', 'date', 'opponent', 'result', 'orangemen points', 'opponents', 'record'] | [['1', 'sept 23', 'baylor', 'win', '7', '0', '1 - 0'], ['2', 'sept 30', 'west virginia', 'win', '23', '6', '2 - 0'], ['3', 'oct 7', 'maryland', 'win', '7', '3', '3 - 0'], ['4', 'oct 14', 'navy', 'loss', '14', '27', '3 - 1'], ['5', 'oct 21', 'california', 'win', '20', '14', '4 - 1'], ['6', 'oct 28', 'penn state', 'loss'... |
2008 asian judo championships | https://en.wikipedia.org/wiki/2008_Asian_Judo_Championships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17179903-3.html.csv | ordinal | mongolia won the third largest number of medals at the 2008 asian judo championships . | {'row': '8', 'col': '6', 'order': '3', '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', '3'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; total ; 3 }'}, 'nation'], 'result': 'mongolia', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; total ; 3 } ; nation }'}, 'mongolia'], 'result... | eq { hop { nth_argmax { all_rows ; total ; 3 } ; nation } ; mongolia } = true | select the row whose total record of all rows is 3rd maximum . the nation record of this row is mongolia . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'total_5': 5, '3_6': 6, 'nation_7': 7, 'mongolia_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_5': 'total', '3_6': '3', 'nation_7': 'nation', 'mongolia_8': 'mongolia'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'total_5': [0], '3_6': [0], 'nation_7': [1], 'mongolia_8': [2]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'japan', '8', '0', '5', '13'], ['2', 'south korea', '2', '6', '4', '12'], ['3', 'iran', '2', '4', '1', '7'], ['4', 'uzbekistan', '1', '2', '3', '6'], ['5', 'kazakhstan', '1', '1', '4', '6'], ['6', 'north korea', '1', '1', '3', '5'], ['7', 'china', '1', '0', '2', '3'], ['8', 'mongolia', '0', '2', '8', '10'], ['9'... |
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