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united states house of representatives elections , 1868 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1868 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1434788-5.html.csv | comparative | james m ashley has a first elected year which is earlier than that of samuel shellabarger . | {'row_1': '3', 'row_2': '1', 'col': '4', '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', 'incumbent', 'james m ashley'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose incumbent record fuzzily matches to james m ashley .', 'tostr': 'filter_eq { all_rows ; incumbent ; james m ashley }'}, 'first... | less { hop { filter_eq { all_rows ; incumbent ; james m ashley } ; first elected } ; hop { filter_eq { all_rows ; incumbent ; samuel shellabarger } ; first elected } } = true | select the rows whose incumbent record fuzzily matches to james m ashley . take the first elected record of this row . select the rows whose incumbent record fuzzily matches to samuel shellabarger . take the first elected 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, 'incumbent_7': 7, 'james m ashley_8': 8, 'first elected_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'incumbent_11': 11, 'samuel shellabarger_12': 12, 'first elected_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', 'incumbent_7': 'incumbent', 'james m ashley_8': 'james m ashley', 'first elected_9': 'first elected', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'incum... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'incumbent_7': [0], 'james m ashley_8': [0], 'first elected_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'incumbent_11': [1], 'samuel shellabarger_12': [1], 'first elected_13': [3]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['ohio 7', 'samuel shellabarger', 'republican', '1864', 'retired republican hold', 'james j winans ( r ) 50.2 % john h thomas ( d ) 49.8 %'], ['ohio 8', 'john beatty', 'republican', '1868 ( s )', 're - elected', 'john beatty ( r ) 52.0 % john h benson ( d ) 48.0 %'], ['ohio 10', 'james m ashley', 'republican', '1862',... |
united states house of representatives elections , 1794 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1794 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2668420-17.html.csv | comparative | john page was first elected to office before francis walker was . | {'row_1': '8', 'row_2': '9', 'col': '4', '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', 'incumbent', 'john page'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose incumbent record fuzzily matches to john page .', 'tostr': 'filter_eq { all_rows ; incumbent ; john page }'}, 'first elected'], 're... | less { hop { filter_eq { all_rows ; incumbent ; john page } ; first elected } ; hop { filter_eq { all_rows ; incumbent ; francis walker } ; first elected } } = true | select the rows whose incumbent record fuzzily matches to john page . take the first elected record of this row . select the rows whose incumbent record fuzzily matches to francis walker . take the first elected 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, 'incumbent_7': 7, 'john page_8': 8, 'first elected_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'incumbent_11': 11, 'francis walker_12': 12, 'first elected_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', 'incumbent_7': 'incumbent', 'john page_8': 'john page', 'first elected_9': 'first elected', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'incumbent_11': ... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'incumbent_7': [0], 'john page_8': [0], 'first elected_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'incumbent_11': [1], 'francis walker_12': [1], 'first elected_13': [3]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['virginia 1', 'robert rutherford', 'anti - administration', '1793', 're - elected', 'robert rutherford ( dr ) daniel morgan ( f )'], ['virginia 2', 'andrew moore', 'anti - administration', '1789', 're - elected', 'andrew moore ( dr )'], ['virginia 4', 'francis preston', 'anti - administration', '1793', 're - elected'... |
list of swat kats : the radical squadron episodes | https://en.wikipedia.org/wiki/List_of_SWAT_Kats%3A_The_Radical_Squadron_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-17810099-3.html.csv | ordinal | of the swat kats : the radical squadron episodes , the episode with the 2nd earliest air date is the episode titled " a bright and shiny future " . | {'row': '2', 'col': '6', 'order': '2', 'col_other': '3', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'originalairdate', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; originalairdate ; 2 }'}, 'title'], 'result': 'a bright and shiny future', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; originalai... | eq { hop { nth_argmin { all_rows ; originalairdate ; 2 } ; title } ; a bright and shiny future } = true | select the row whose originalairdate record of all rows is 2nd minimum . the title record of this row is a bright and shiny future . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'originalairdate_5': 5, '2_6': 6, 'title_7': 7, 'a bright and shiny future_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', 'originalairdate_5': 'originalairdate', '2_6': '2', 'title_7': 'title', 'a bright and shiny future_8': 'a bright and shiny future'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'originalairdate_5': [0], '2_6': [0], 'title_7': [1], 'a bright and shiny future_8': [2]} | ['episode', 'season', 'title', 'writer ( s )', 'director', 'originalairdate'] | [['14', '2', 'mutation city', 'glenn leopold', 'robert alvarez', 'september 10 , 1994'], ['15', '2', 'a bright and shiny future', 'glenn leopold', 'robert alvarez', 'september 17 , 1994'], ['16', '2', 'when mutilor strikes', 'lance falk', 'robert alvarez', 'september 24 , 1994'], ['17', '2', "razor 's edge", 'mark sara... |
1979 vfl season | https://en.wikipedia.org/wiki/1979_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10823719-21.html.csv | ordinal | in the 1979 vfl season , the 2nd largest crowd was when the home team was essendon . | {'row': '6', 'col': '6', 'order': '2', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'crowd', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; crowd ; 2 }'}, 'home team'], 'result': 'essendon', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; crowd ; 2 } ; home team }'}, 'essendon'], '... | eq { hop { nth_argmax { all_rows ; crowd ; 2 } ; home team } ; essendon } = true | select the row whose crowd record of all rows is 2nd maximum . the home team record of this row is essendon . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'crowd_5': 5, '2_6': 6, 'home team_7': 7, 'essendon_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', 'crowd_5': 'crowd', '2_6': '2', 'home team_7': 'home team', 'essendon_8': 'essendon'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'crowd_5': [0], '2_6': [0], 'home team_7': [1], 'essendon_8': [2]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['melbourne', '24.17 ( 161 )', 'st kilda', '12.24 ( 96 )', 'mcg', '18435', '25 august 1979'], ['hawthorn', '7.18 ( 60 )', 'north melbourne', '24.21 ( 165 )', 'princes park', '18501', '25 august 1979'], ['geelong', '17.13 ( 115 )', 'richmond', '12.17 ( 89 )', 'kardinia park', '18039', '25 august 1979'], ['fitzroy', '22... |
orlando magic all - time roster | https://en.wikipedia.org/wiki/Orlando_Magic_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-15621965-10.html.csv | unique | among the players on the roster , steve kerr is the only person who plays the guard position . | {'scope': 'all', 'row': '5', 'col': '4', 'col_other': '1', 'criterion': 'equal', 'value': 'guard', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', 'guard'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to guard .', 'tostr': 'filter_eq { all_rows ; position ; guard }'}], 'result': True, 'ind': 1, 'tostr': 'onl... | and { only { filter_eq { all_rows ; position ; guard } } ; eq { hop { filter_eq { all_rows ; position ; guard } ; player } ; steve kerr } } = true | select the rows whose position record fuzzily matches to guard . there is only one such row in the table . the player record of this unqiue row is steve kerr . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'position_7': 7, 'guard_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'steve kerr_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'position_7': 'position', 'guard_8': 'guard', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'steve kerr_10': 'steve kerr'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'position_7': [0], 'guard_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'steve kerr_10': [3]} | ['player', 'no', 'nationality', 'position', 'years in orlando', 'school / club team'] | [['mario kasun', '41', 'croatia', 'center', '2004 - 2006', 'gonzaga'], ['shawn kemp', '40', 'united states', 'forward', '2002 - 2003', 'concord hs'], ['tim kempton', '9', 'united states', 'forward - center', '2002 - 2004', 'notre dame'], ['jonathan kerner', '52', 'united states', 'center', '1998 - 1999', 'east carolina... |
1985 - 86 philadelphia flyers season | https://en.wikipedia.org/wiki/1985%E2%80%9386_Philadelphia_Flyers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14320222-6.html.csv | majority | in the majority of games played , the winner had a score of less than 5 points . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '5', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'score', '5'], 'result': True, 'ind': 0, 'tointer': 'for the score records of all rows , most of them are less than 5 .', 'tostr': 'most_less { all_rows ; score ; 5 } = true'} | most_less { all_rows ; score ; 5 } = true | for the score records of all rows , most of them are less than 5 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'score_3': 3, '5_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'score_3': 'score', '5_4': '5'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'score_3': [0], '5_4': [0]} | ['game', 'february', 'opponent', 'score', 'record', 'points'] | [['52', '1', 'quebec nordiques', '2 - 2 ot', '35 - 15 - 2', '72'], ['53', '6', 'st louis blues', '4 - 3', '36 - 15 - 2', '74'], ['54', '8', 'minnesota north stars', '3 - 3 ot', '36 - 15 - 3', '75'], ['55', '9', 'chicago black hawks', '2 - 2 ot', '36 - 15 - 4', '76'], ['56', '12', 'buffalo sabres', '4 - 0', '37 - 15 - 4... |
baltimore city delegation | https://en.wikipedia.org/wiki/Baltimore_City_Delegation | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11873520-1.html.csv | majority | all of the baltimore city delegates are affiliated with the democratic party . | {'scope': 'all', 'col': '4', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'democratic', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'party', 'democratic'], 'result': True, 'ind': 0, 'tointer': 'for the party records of all rows , all of them fuzzily match to democratic .', 'tostr': 'all_eq { all_rows ; party ; democratic } = true'} | all_eq { all_rows ; party ; democratic } = true | for the party records of all rows , all of them fuzzily match to democratic . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'party_3': 3, 'democratic_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'party_3': 'party', 'democratic_4': 'democratic'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'party_3': [0], 'democratic_4': [0]} | ['district', 'place of birth', 'delegate', 'party', 'took office', 'committee'] | [['40', 'baltimore city', 'frank conaway', 'democratic', '2006', 'judiciary'], ['40', 'alexandria city , alabama', 'barbara robinson', 'democratic', '2006', 'appropriations'], ['40', 'freeport , ny', 'shawn z tarrant', 'democratic', '2006', 'health and government operations'], ['41', 'baltimore city', 'jill p carter', ... |
list of government schools in new south wales : q - z | https://en.wikipedia.org/wiki/List_of_Government_schools_in_New_South_Wales%3A_Q%E2%80%93Z | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18155481-6.html.csv | majority | most of the schools in new south wales were founded before 1980 . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '1980', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'founded', '1980'], 'result': True, 'ind': 0, 'tointer': 'for the founded records of all rows , most of them are less than 1980 .', 'tostr': 'most_less { all_rows ; founded ; 1980 } = true'} | most_less { all_rows ; founded ; 1980 } = true | for the founded records of all rows , most of them are less than 1980 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'founded_3': 3, '1980_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'founded_3': 'founded', '1980_4': '1980'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'founded_3': [0], '1980_4': [0]} | ['school', 'suburb / town', 'years', 'founded', 'website'] | [['vacy public school', 'vacy', 'k - 6', '1859', 'website'], ['valentine public school', 'valentine', 'k - 6', '1958', 'website'], ['valley view public school', 'wyoming', 'k - 6', '1980', 'website'], ['vardys road public school', 'seven hills', 'k - 6', '1960', 'website'], ['vaucluse public school', 'vaucluse', 'k - 6... |
2002 new england patriots season | https://en.wikipedia.org/wiki/2002_New_England_Patriots_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10716117-1.html.csv | aggregation | the average overall in round 7 for the 2002 new new england patriots is 245 . | {'scope': 'subset', 'col': '2', 'type': 'average', 'result': '245', 'subset': {'col': '1', 'criterion': 'equal', 'value': '7'}} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'round', '7'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; round ; 7 }', 'tointer': 'select the rows whose round record is equal to 7 .'}, 'overall'], 'result': '245', 'ind': 1, 'tostr': 'avg { filter_eq { a... | round_eq { avg { filter_eq { all_rows ; round ; 7 } ; overall } ; 245 } = true | select the rows whose round record is equal to 7 . the average of the overall record of these rows is 245 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'avg_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'round_5': 5, '7_6': 6, 'overall_7': 7, '245_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'avg_1': 'avg', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'round_5': 'round', '7_6': '7', 'overall_7': 'overall', '245_8': '245'} | {'eq_2': [3], 'result_3': [], 'avg_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'round_5': [0], '7_6': [0], 'overall_7': [1], '245_8': [2]} | ['round', 'overall', 'player', 'position', 'college'] | [['1', '21', 'daniel graham', 'tight end', 'colorado'], ['2', '65', 'deion branch', 'wide receiver', 'louisville'], ['4', '117', 'rohan davey', 'quarterback', 'lsu'], ['4', '126', 'jarvis green', 'defensive end', 'lsu'], ['7', '237', 'antwoine womack', 'running back', 'virginia'], ['7', '253', 'david givens', 'wide rec... |
mike beuttler | https://en.wikipedia.org/wiki/Mike_Beuttler | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1226504-1.html.csv | aggregation | mike beuttler scored a total of zero points throughout his formula one career . | {'scope': 'all', 'col': '5', 'type': 'sum', 'result': '0', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'points'], 'result': '0', 'ind': 0, 'tostr': 'sum { all_rows ; points }'}, '0'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; points } ; 0 } = true', 'tointer': 'the sum of the points record of all rows is 0 .'} | round_eq { sum { all_rows ; points } ; 0 } = true | the sum of the points record of all rows is 0 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'points_4': 4, '0_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'points_4': 'points', '0_5': '0'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'points_4': [0], '0_5': [1]} | ['year', 'entrant', 'chassis', 'engine', 'points'] | [['1971', 'clarke - mordaunt - guthrie racing', 'march 711', 'cosworth v8', '0'], ['1971', 'stp march', 'march 711', 'cosworth v8', '0'], ['1972', 'clarke - mordaunt - guthrie racing', 'march 721 g', 'cosworth v8', '0'], ['1973', 'clarke - mordaunt - guthrie - durlacher', 'march 721 g', 'cosworth v8', '0'], ['1973', 'c... |
swimming at the 2000 summer olympics - men 's 200 metre individual medley | https://en.wikipedia.org/wiki/Swimming_at_the_2000_Summer_Olympics_%E2%80%93_Men%27s_200_metre_individual_medley | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12446479-5.html.csv | count | exactly one of the athletes was from the united states . | {'scope': 'all', 'criterion': 'equal', 'value': 'united states', 'result': '1', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nationality', 'united states'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nationality record fuzzily matches to united states .', 'tostr': 'filter_eq { all_rows ; nationality ; united states }'}], 'resul... | eq { count { filter_eq { all_rows ; nationality ; united states } } ; 1 } = true | select the rows whose nationality record fuzzily matches to united states . the number of such rows is 1 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'nationality_5': 5, 'united states_6': 6, '1_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'nationality_5': 'nationality', 'united states_6': 'united states', '1_7': '1'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'nationality_5': [0], 'united states_6': [0], '1_7': [2]} | ['rank', 'lane', 'name', 'nationality', 'time'] | [['1', '4', 'massimiliano rosolino', 'italy', '2:01.14'], ['2', '5', 'marcel wouda', 'netherlands', '2:01.40'], ['3', '3', 'jani sievinen', 'finland', '2:01.46'], ['4', '6', 'tom wilkens', 'united states', '2:01.51'], ['5', '2', 'cezar bădiţă', 'romania', '2:02.02'], ['6', '1', 'jordi carrasco', 'spain', '2:02.90'], ['... |
1962 world wrestling championships | https://en.wikipedia.org/wiki/1962_World_Wrestling_Championships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16669292-1.html.csv | aggregation | in the 1962 world wrestling championships the total number of medals was 48 . | {'scope': 'all', 'col': '6', 'type': 'sum', 'result': '48', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'total'], 'result': '48', 'ind': 0, 'tostr': 'sum { all_rows ; total }'}, '48'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; total } ; 48 } = true', 'tointer': 'the sum of the total record of all rows is 48 .'} | round_eq { sum { all_rows ; total } ; 48 } = true | the sum of the total record of all rows is 48 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'total_4': 4, '48_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'total_4': 'total', '48_5': '48'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'total_4': [0], '48_5': [1]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'soviet union', '6', '4', '1', '11'], ['2', 'turkey', '3', '1', '5', '9'], ['3', 'japan', '2', '2', '1', '5'], ['4', 'iran', '2', '2', '0', '4'], ['5', 'hungary', '2', '0', '1', '3'], ['6', 'bulgaria', '1', '4', '0', '5'], ['7', 'italy', '0', '1', '1', '2'], ['8', 'denmark', '0', '1', '0', '1'], ['8', 'yugoslavi... |
1975 - 76 phoenix suns season | https://en.wikipedia.org/wiki/1975%E2%80%9376_Phoenix_Suns_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-30047613-14.html.csv | majority | the phoenix suns lost most of the games that they played in . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'l', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'score', 'l'], 'result': True, 'ind': 0, 'tointer': 'for the score records of all rows , most of them fuzzily match to l .', 'tostr': 'most_eq { all_rows ; score ; l } = true'} | most_eq { all_rows ; score ; l } = true | for the 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, 'score_3': 3, 'l_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'score_3': 'score', 'l_4': 'l'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'score_3': [0], 'l_4': [0]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'location attendance', 'series', 'streak'] | [['1', 'may 23', 'boston', 'l 87 - 98', 'alvan adams ( 26 )', 'curtis perry ( 10 )', 'boston garden 15320', '0 - 1', 'l 1'], ['2', 'may 27', 'boston', 'l 90 - 105', 'paul westphal ( 28 )', 'alvan adams ( 15 )', 'boston garden 15320', '0 - 2', 'l 2'], ['3', 'may 30', 'boston', 'w 105 - 98', 'alvan adams ( 33 )', 'alvan ... |
united states house of representatives elections , 1954 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1954 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1342013-20.html.csv | ordinal | in terms of when they were first elected , thomas j lane was the second earliest . | {'row': '4', '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', 'first elected', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; first elected ; 2 }'}, 'incumbent'], 'result': 'thomas j lane', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; first elected ; 2 } ; ... | eq { hop { nth_argmin { all_rows ; first elected ; 2 } ; incumbent } ; thomas j lane } = true | select the row whose first elected record of all rows is 2nd minimum . the incumbent record of this row is thomas j lane . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'first elected_5': 5, '2_6': 6, 'incumbent_7': 7, 'thomas j lane_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', 'first elected_5': 'first elected', '2_6': '2', 'incumbent_7': 'incumbent', 'thomas j lane_8': 'thomas j lane'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'first elected_5': [0], '2_6': [0], 'incumbent_7': [1], 'thomas j lane_8': [2]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['massachusetts 1', 'john w heselton', 'republican', '1944', 're - elected', 'john w heselton ( r ) 55.6 % john j dwyer ( d ) 44.4 %'], ['massachusetts 3', 'philip philbin', 'democratic', '1942', 're - elected', 'philip philbin ( d ) unopposed'], ['massachusetts 5', 'edith nourse rogers', 'republican', '1925', 're - e... |
westinghouse broadcasting | https://en.wikipedia.org/wiki/Westinghouse_Broadcasting | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1553485-1.html.csv | unique | kyw - tv was the only westinghouse broadcasting channel that became an nbc affiliate owned by gannett company . | {'scope': 'all', 'row': '5', 'col': '5', 'col_other': '2', 'criterion': 'equal', 'value': 'nbc affiliate owned by gannett company', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'current affiliation', 'nbc affiliate owned by gannett company'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose current affiliation record fuzzily matches to nbc affiliate owned by gannett company .', 'tostr'... | and { only { filter_eq { all_rows ; current affiliation ; nbc affiliate owned by gannett company } } ; eq { hop { filter_eq { all_rows ; current affiliation ; nbc affiliate owned by gannett company } ; station } ; kyw - tv ( now wkyc - tv ) } } = true | select the rows whose current affiliation record fuzzily matches to nbc affiliate owned by gannett company . there is only one such row in the table . the station record of this unqiue row is kyw - tv ( now wkyc - tv ) . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'current affiliation_7': 7, 'nbc affiliate owned by gannett company_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'station_9': 9, 'kyw - tv (now wkyc - tv )_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'current affiliation_7': 'current affiliation', 'nbc affiliate owned by gannett company_8': 'nbc affiliate owned by gannett company', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'station_9': 'station',... | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'current affiliation_7': [0], 'nbc affiliate owned by gannett company_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'station_9': [2], 'kyw - tv (now wkyc - tv )_10': [3]} | ['city of license / market', 'station', 'channel tv ( dt )', 'years owned', 'current affiliation'] | [['san francisco - oakland - san jose', 'kpix', '5 ( 29 )', '1954 - 1995', 'cbs owned - and - operated ( o & o )'], ['baltimore', 'wjz - tv', '13 ( 13 )', '1957 - 1995', 'cbs owned - and - operated ( o & o )'], ['boston', 'wbz - tv', '4 ( 30 )', '1948 - 1995', 'cbs owned - and - operated ( o & o )'], ['charlotte', 'wpc... |
2005 pga championship | https://en.wikipedia.org/wiki/2005_PGA_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12512153-6.html.csv | aggregation | all players of the 2005 pga championship had an average score of around 206 . | {'scope': 'all', 'col': '4', 'type': 'average', 'result': '206', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'score'], 'result': '206', 'ind': 0, 'tostr': 'avg { all_rows ; score }'}, '206'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; score } ; 206 } = true', 'tointer': 'the average of the score record of all rows is 206 .'} | round_eq { avg { all_rows ; score } ; 206 } = true | the average of the score record of all rows is 206 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'score_4': 4, '206_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'score_4': 'score', '206_5': '206'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'score_4': [0], '206_5': [1]} | ['place', 'player', 'country', 'score', 'to par'] | [['t1', 'davis love iii', 'united states', '68 + 68 + 68 = 204', '- 6'], ['t1', 'phil mickelson', 'united states', '67 + 65 + 72 = 204', '- 6'], ['3', 'thomas bjørn', 'denmark', '71 + 71 + 63 = 205', '- 5'], ['t4', 'stuart appleby', 'australia', '67 + 70 + 69 = 206', '- 4'], ['t4', 'steve elkington', 'australia', '68 +... |
5th united states congress | https://en.wikipedia.org/wiki/5th_United_States_Congress | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-224839-4.html.csv | comparative | thomas tillinghast was seated a successor earlier than robert waln in the 5th united states congress . | {'row_1': '1', 'row_2': '9', 'col': '5', 'col_other': '4', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'successor', 'thomas tillinghast ( f )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose successor record fuzzily matches to thomas tillinghast ( f ) .', 'tostr': 'filter_eq { all_rows ; successor ; thomas... | less { hop { filter_eq { all_rows ; successor ; thomas tillinghast ( f ) } ; date successor seated } ; hop { filter_eq { all_rows ; successor ; robert waln ( f ) } ; date successor seated } } = true | select the rows whose successor record fuzzily matches to thomas tillinghast ( f ) . take the date successor seated record of this row . select the rows whose successor record fuzzily matches to robert waln ( f ) . take the date successor seated record of this row . the first record is less than the second record . | 5 | 5 | {'less_4': 4, 'result_5': 5, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'successor_7': 7, 'thomas tillinghast ( f )_8': 8, 'date successor seated_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'successor_11': 11, 'robert waln ( f )_12': 12, 'date successor seated_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', 'successor_7': 'successor', 'thomas tillinghast ( f )_8': 'thomas tillinghast ( f )', 'date successor seated_9': 'date successor seated', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq... | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'successor_7': [0], 'thomas tillinghast ( f )_8': [0], 'date successor seated_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'successor_11': [1], 'robert waln ( f )_12': [1], 'date successor seated_13': ... | ['district', 'vacator', 'reason for change', 'successor', 'date successor seated'] | [['rhode island at - large', 'elisha potter ( f )', 'resigned sometime in 1797', 'thomas tillinghast ( f )', 'seated november 13 , 1797'], ['south carolina 1st', 'william l smith ( f )', 'resigned july 10 , 1797', 'thomas pinckney ( f )', 'seated november 23 , 1797'], ['massachusetts 11th', 'theophilus bradbury ( f )',... |
list of singaporean films | https://en.wikipedia.org/wiki/List_of_Singaporean_films | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1601229-7.html.csv | ordinal | the eye 2 was the singaporean film that had the second highest gross in 2004 . | {'row': '3', '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', 'singapore gross', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; singapore gross ; 2 }'}, 'title'], 'result': 'the eye 2', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; singapore gross ; 2 } ; ti... | eq { hop { nth_argmax { all_rows ; singapore gross ; 2 } ; title } ; the eye 2 } = true | select the row whose singapore gross record of all rows is 2nd maximum . the title record of this row is the eye 2 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'singapore gross_5': 5, '2_6': 6, 'title_7': 7, 'the eye 2_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', 'singapore gross_5': 'singapore gross', '2_6': '2', 'title_7': 'title', 'the eye 2_8': 'the eye 2'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'singapore gross_5': [0], '2_6': [0], 'title_7': [1], 'the eye 2_8': [2]} | ['date', 'title', 'director', 'production cost', 'singapore gross'] | [['2004', '2004', '2004', '2004', '2004'], ['february 2004', 'last life in the universe', 'pen - ek ratanaruang', 'us2000000', '65000'], ['march 2004', 'the eye 2', 'danny pang / oxide pang', 'us3000000', '1577000'], ['june 2004', 'the best bet ( 突然发财 )', 'jack neo', '1500000', '2664000'], ['august 2004', 'clouds in my... |
1966 major league baseball draft | https://en.wikipedia.org/wiki/1966_Major_League_Baseball_Draft | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15667202-1.html.csv | ordinal | john curtis was pick number 12 in the 1966 major league baseball draft . | {'row': '12', 'col': '1', 'order': '12', 'col_other': '2', 'max_or_min': 'min_to_max', 'value_mentioned': 'yes', 'scope': 'all', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'nth_min', 'args': ['all_rows', 'pick', '12'], 'result': '12', 'ind': 0, 'tostr': 'nth_min { all_rows ; pick ; 12 }', 'tointer': 'the 12th minimum pick record of all rows is 12 .'}, '12'], 'result': True, 'ind': 1, 'tostr': 'eq { nth_min { all_rows ; pick ; 12 }... | and { eq { nth_min { all_rows ; pick ; 12 } ; 12 } ; eq { hop { nth_argmin { all_rows ; pick ; 12 } ; player } ; john curtis } } = true | the 12th minimum pick record of all rows is 12 . the player record of the row with 12th minimum pick record is john curtis . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'nth_min_0': 0, 'all_rows_7': 7, 'pick_8': 8, '12_9': 9, '12_10': 10, 'str_eq_4': 4, 'str_hop_3': 3, 'nth_argmin_2': 2, 'all_rows_11': 11, 'pick_12': 12, '12_13': 13, 'player_14': 14, 'john curtis_15': 15} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'nth_min_0': 'nth_min', 'all_rows_7': 'all_rows', 'pick_8': 'pick', '12_9': '12', '12_10': '12', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'nth_argmin_2': 'nth_argmin', 'all_rows_11': 'all_rows', 'pick_12': 'pick', '12_13': '12', 'player_14': 'player', 'john curtis... | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'nth_min_0': [1], 'all_rows_7': [0], 'pick_8': [0], '12_9': [0], '12_10': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'nth_argmin_2': [3], 'all_rows_11': [2], 'pick_12': [2], '12_13': [2], 'player_14': [3], 'john curtis_15': [4]} | ['pick', 'player', 'team', 'position', 'hometown / school'] | [['1', 'steve chilcott', 'new york mets', 'c', 'lancaster , ca'], ['2', 'reggie jackson', 'kansas city athletics', 'of', 'arizona state'], ['3', 'wayne twitchell', 'houston astros', 'rhp', 'portland , or'], ['4', 'ken brett', 'boston red sox', 'lhp', 'el segundo , ca'], ['5', 'dean burk', 'chicago cubs', 'rhp', 'highla... |
united states house of representatives elections , 1964 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1964 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341865-20.html.csv | comparative | otto passman has a first elected year which is earlier than that of t ashton thompson . | {'row_1': '4', 'row_2': '5', 'col': '4', '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', 'incumbent', 'otto passman'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose incumbent record fuzzily matches to otto passman .', 'tostr': 'filter_eq { all_rows ; incumbent ; otto passman }'}, 'first elect... | less { hop { filter_eq { all_rows ; incumbent ; otto passman } ; first elected } ; hop { filter_eq { all_rows ; incumbent ; t ashton thompson } ; first elected } } = true | select the rows whose incumbent record fuzzily matches to otto passman . take the first elected record of this row . select the rows whose incumbent record fuzzily matches to t ashton thompson . take the first elected 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, 'incumbent_7': 7, 'otto passman_8': 8, 'first elected_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'incumbent_11': 11, 't ashton thompson_12': 12, 'first elected_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', 'incumbent_7': 'incumbent', 'otto passman_8': 'otto passman', 'first elected_9': 'first elected', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'incumbent... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'incumbent_7': [0], 'otto passman_8': [0], 'first elected_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'incumbent_11': [1], 't ashton thompson_12': [1], 'first elected_13': [3]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['louisiana 1', 'f edward hebert', 'democratic', '1940', 're - elected', 'f edward hebert ( d ) unopposed'], ['louisiana 2', 'hale boggs', 'democratic', '1946', 're - elected', 'hale boggs ( d ) 55.0 % david c treen ( r ) 45.0 %'], ['louisiana 4', 'joe waggonner', 'democratic', '1961', 're - elected', 'joe waggonner (... |
2008 washington redskins season | https://en.wikipedia.org/wiki/2008_Washington_Redskins_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10966926-8.html.csv | comparative | antwaan randle el recorded more yards than ladell betts for the 2008 washington redskins . | {'row_1': '3', 'row_2': '5', 'col': '3', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'player', 'antwaan randle el'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record fuzzily matches to antwaan randle el .', 'tostr': 'filter_eq { all_rows ; player ; antwaan randle el }'}, 'ya... | greater { hop { filter_eq { all_rows ; player ; antwaan randle el } ; yards } ; hop { filter_eq { all_rows ; player ; ladell betts } ; yards } } = true | select the rows whose player record fuzzily matches to antwaan randle el . take the yards record of this row . select the rows whose player record fuzzily matches to ladell betts . take the yards 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, 'player_7': 7, 'antwaan randle el_8': 8, 'yards_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'player_11': 11, 'ladell betts_12': 12, 'yards_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', 'player_7': 'player', 'antwaan randle el_8': 'antwaan randle el', 'yards_9': 'yards', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'player_11': 'pl... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'player_7': [0], 'antwaan randle el_8': [0], 'yards_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'player_11': [1], 'ladell betts_12': [1], 'yards_13': [3]} | ['player', 'rec', 'yards', 'avg', 'long'] | [['santana moss', '79', '1044', '13.2', '67'], ['chris cooley', '83', '849', '10.2', '28'], ['antwaan randle el', '53', '593', '11.2', '31'], ['clinton portis', '28', '218', '7.8', '29'], ['ladell betts', '22', '200', '9.1', '27'], ['devin thomas', '15', '120', '8.0', '18'], ['mike sellers', '12', '98', '8.2', '20'], [... |
2008 - 09 oklahoma city thunder season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Oklahoma_City_Thunder_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17355628-5.html.csv | majority | kevin durant had at least a share of the high points in most of the games . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'kevin durant', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'high points', 'kevin durant'], 'result': True, 'ind': 0, 'tointer': 'for the high points records of all rows , most of them fuzzily match to kevin durant .', 'tostr': 'most_eq { all_rows ; high points ; kevin durant } = true'} | most_eq { all_rows ; high points ; kevin durant } = true | for the high points records of all rows , most of them fuzzily match to kevin durant . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'high points_3': 3, 'kevin durant_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'high points_3': 'high points', 'kevin durant_4': 'kevin durant'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'high points_3': [0], 'kevin durant_4': [0]} | ['game', 'date', 'team', 'score', 'high points', 'high assists', 'location attendance', 'record'] | [['2', 'november 1', 'houston', 'l 77 - 89 ( ot )', 'kevin durant ( 26 )', 'earl watson ( 8 )', 'toyota center 16996', '0 - 2'], ['3', 'november 2', 'minnesota', 'w 88 - 85 ( ot )', 'kevin durant ( 18 )', 'earl watson ( 4 )', 'ford center 18163', '1 - 2'], ['4', 'november 5', 'boston', 'l 83 - 96 ( ot )', 'kevin durant... |
wisconsin intercollegiate athletic conference | https://en.wikipedia.org/wiki/Wisconsin_Intercollegiate_Athletic_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-262495-1.html.csv | ordinal | the second largest school in the wisconsin intercollegiate conference is the university of wisconsin at oshkosh . | {'row': '3', 'col': '6', 'order': '2', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'undergraduate enrollment', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; undergraduate enrollment ; 2 }'}, 'institution'], 'result': 'university of wisconsin - oshkosh', 'ind': 1, 'tostr': 'hop { nt... | eq { hop { nth_argmax { all_rows ; undergraduate enrollment ; 2 } ; institution } ; university of wisconsin - oshkosh } = true | select the row whose undergraduate enrollment record of all rows is 2nd maximum . the institution record of this row is university of wisconsin - oshkosh . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'undergraduate enrollment_5': 5, '2_6': 6, 'institution_7': 7, 'university of wisconsin - oshkosh_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', 'undergraduate enrollment_5': 'undergraduate enrollment', '2_6': '2', 'institution_7': 'institution', 'university of wisconsin - oshkosh_8': 'university of wisconsin - oshkosh'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'undergraduate enrollment_5': [0], '2_6': [0], 'institution_7': [1], 'university of wisconsin - oshkosh_8': [2]} | ['institution', 'nickname', 'location ( population )', 'founded', 'type', 'undergraduate enrollment', 'joined'] | [['university of wisconsin - eau claire', 'blugolds', 'eau claire , wisconsin ( 65883 )', '1916', 'public', '9799', '1917 - 18'], ['university of wisconsin - la crosse', 'eagles', 'la crosse , wisconsin ( 52485 )', '1909', 'public', '8324', '1913 - 14'], ['university of wisconsin - oshkosh', 'titans', 'oshkosh , wiscon... |
angela stanford | https://en.wikipedia.org/wiki/Angela_Stanford | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-14836185-3.html.csv | majority | angela stanford finished in the top 50 of the money rank list in her tournaments played . | {'scope': 'all', 'col': '10', 'most_or_all': 'most', 'criterion': 'less_than', 'value': '50', 'subset': None} | {'func': 'most_less', 'args': ['all_rows', 'money list rank', '50'], 'result': True, 'ind': 0, 'tointer': 'for the money list rank records of all rows , most of them are less than 50 .', 'tostr': 'most_less { all_rows ; money list rank ; 50 } = true'} | most_less { all_rows ; money list rank ; 50 } = true | for the money list rank records of all rows , most of them are less than 50 . | 1 | 1 | {'most_less_0': 0, 'result_1': 1, 'all_rows_2': 2, 'money list rank_3': 3, '50_4': 4} | {'most_less_0': 'most_less', 'result_1': 'true', 'all_rows_2': 'all_rows', 'money list rank_3': 'money list rank', '50_4': '50'} | {'most_less_0': [1], 'result_1': [], 'all_rows_2': [0], 'money list rank_3': [0], '50_4': [0]} | ['year', 'tournaments played', 'cuts made', 'wins', '2nd', '3rd', 'top 10s', 'best finish', 'earnings', 'money list rank', 'scoring average', 'scoring rank'] | [['2001', '26', '12', '0', '0', '0', '0', 't15', '66956', '98', '73.24', '103'], ['2002', '19', '12', '0', '1', '0', '2', '2', '221857', '45', '72.37', '46'], ['2003', '21', '17', '1', '1', '0', '3', '1', '643192', '17', '71.94', '38'], ['2004', '24', '19', '0', '0', '0', '2', 't4', '297790', '39', '71.86', 't43'], ['2... |
1965 american football league draft | https://en.wikipedia.org/wiki/1965_American_Football_League_Draft | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18652198-11.html.csv | unique | doug goodwin was the only running back picked between picks 81-88 . | {'scope': 'all', 'row': '8', 'col': '4', 'col_other': '3', 'criterion': 'equal', 'value': 'running back', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', 'running back'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to running back .', 'tostr': 'filter_eq { all_rows ; position ; running back }'}], 'result': True, 'i... | and { only { filter_eq { all_rows ; position ; running back } } ; eq { hop { filter_eq { all_rows ; position ; running back } ; player } ; doug goodwin } } = true | select the rows whose position record fuzzily matches to running back . there is only one such row in the table . the player record of this unqiue row is doug goodwin . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'position_7': 7, 'running back_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'doug goodwin_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'position_7': 'position', 'running back_8': 'running back', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'doug goodwin_10': 'doug goodwin'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'position_7': [0], 'running back_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'doug goodwin_10': [3]} | ['pick', 'team', 'player', 'position', 'college'] | [['81', 'denver broncos', 'tom vaughn', 'defensive back', 'iowa state'], ['82', 'houston oilers', 'kent mccloughan', 'cornerback', 'nebraska'], ['83', 'oakland raiders', 'bill minor', 'linebacker', 'illinois'], ['84', 'new york jets', 'jim gray', 'defensive back', 'toledo'], ['85', 'kansas city chiefs', 'al piraino', '... |
geothermal power in new zealand | https://en.wikipedia.org/wiki/Geothermal_power_in_New_Zealand | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15908826-1.html.csv | majority | the majority of the geothermal power stations in new zealand listed have a capacity of over 20 mw . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '20', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'capacity ( mw )', '20'], 'result': True, 'ind': 0, 'tointer': 'for the capacity ( mw ) records of all rows , most of them are greater than 20 .', 'tostr': 'most_greater { all_rows ; capacity ( mw ) ; 20 } = true'} | most_greater { all_rows ; capacity ( mw ) ; 20 } = true | for the capacity ( mw ) records of all rows , most of them are greater than 20 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'capacity (mw)_3': 3, '20_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'capacity (mw)_3': 'capacity ( mw )', '20_4': '20'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'capacity (mw)_3': [0], '20_4': [0]} | ['name', 'location', 'field', 'capacity ( mw )', 'annual generation ( average gwh )', 'commissioned'] | [['kawerau ( bope )', 'kawerau , bay of plenty', 'kawerau', '6.3', '35', '1989 , 1993'], ['kawerau ( ka24 )', 'kawerau , bay of plenty', 'kawerau', '8.3', '70', '2008'], ['kawerau ( mrp )', 'kawerau , bay of plenty', 'kawerau', '100', '800', '2008'], ['mokai', 'northwest of taupo', 'mokai', '112', '900', '2000'], ['nga... |
2008 - 09 minnesota timberwolves season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Minnesota_Timberwolves_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17058226-7.html.csv | aggregation | during their 2008-2009 season , from games 32-45 , the minnesota timberwolves ' high rebounders combined for 175 rebounds . | {'scope': 'all', 'col': '6', 'type': 'sum', 'result': '175', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'high rebounds'], 'result': '175', 'ind': 0, 'tostr': 'sum { all_rows ; high rebounds }'}, '175'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; high rebounds } ; 175 } = true', 'tointer': 'the sum of the high rebounds record of all ro... | round_eq { sum { all_rows ; high rebounds } ; 175 } = true | the sum of the high rebounds record of all rows is 175 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'high rebounds_4': 4, '175_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'high rebounds_4': 'high rebounds', '175_5': '175'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'high rebounds_4': [0], '175_5': [1]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['32', 'january 2', 'golden state', 'w 115 - 108 ( ot )', 'al jefferson ( 32 )', 'al jefferson , ryan gomes ( 10 )', 'randy foye ( 7 )', 'target center 11921', '7 - 25'], ['33', 'january 3', 'chicago', 'w 102 - 92 ( ot )', 'randy foye ( 21 )', 'al jefferson ( 14 )', 'sebastian telfair ( 6 )', 'united center 20516', '8... |
hayate usui | https://en.wikipedia.org/wiki/Hayate_Usui | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11221360-2.html.csv | aggregation | the matches played by hayate usui averaged two rounds each . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '2', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'round'], 'result': '2', 'ind': 0, 'tostr': 'avg { all_rows ; round }'}, '2'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; round } ; 2 } = true', 'tointer': 'the average of the round record of all rows is 2 .'} | round_eq { avg { all_rows ; round } ; 2 } = true | the average of the round record of all rows is 2 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'round_4': 4, '2_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'round_4': 'round', '2_5': '2'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'round_4': [0], '2_5': [1]} | ['res', 'record', 'opponent', 'method', 'event', 'round', 'time'] | [['loss', '10 - 8 - 1', 'issei tamura', 'decision ( unanimous )', 'shooto', '2', '5:00'], ['loss', '10 - 7 - 1', 'hiroshi nakamura', 'decision ( unanimous )', 'shooto', '3', '5:00'], ['win', '10 - 6 - 1', 'shinya kumazawa', 'decision ( unanimous )', 'tenkaichi fight', '2', '5:00'], ['win', '9 - 6 - 1', 'sakae kasuya', ... |
test matches ( 1991 - 2000 ) | https://en.wikipedia.org/wiki/Test_matches_%281991%E2%80%932000%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12410929-44.html.csv | majority | mark taylor was the home captain for all of australia 's cricket test matches . | {'scope': 'all', 'col': '2', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'mark taylor', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'home captain', 'mark taylor'], 'result': True, 'ind': 0, 'tointer': 'for the home captain records of all rows , all of them fuzzily match to mark taylor .', 'tostr': 'all_eq { all_rows ; home captain ; mark taylor } = true'} | all_eq { all_rows ; home captain ; mark taylor } = true | for the home captain records of all rows , all of them fuzzily match to mark taylor . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'home captain_3': 3, 'mark taylor_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'home captain_3': 'home captain', 'mark taylor_4': 'mark taylor'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'home captain_3': [0], 'mark taylor_4': [0]} | ['date', 'home captain', 'away captain', 'venue', 'result'] | [['25 , 26 , 27 , 28 , 29 november 1994', 'mark taylor', 'mike atherton', 'brisbane cricket ground', 'aus by 184 runs'], ['24 , 26 , 27 , 28 , 29 december 1994', 'mark taylor', 'mike atherton', 'melbourne cricket ground', 'aus by 295 runs'], ['1 , 2 , 3 , 4 , 5 january 1995', 'mark taylor', 'mike atherton', 'sydney cri... |
2009 - 10 cleveland cavaliers season | https://en.wikipedia.org/wiki/2009%E2%80%9310_Cleveland_Cavaliers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-22654073-7.html.csv | count | mo williams ranked as the highest assists 2 times in the season . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'mo williams', 'result': '2', 'col': '7', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'high assists', 'mo williams'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose high assists record fuzzily matches to mo williams .', 'tostr': 'filter_eq { all_rows ; high assists ; mo williams }'}], 'result':... | eq { count { filter_eq { all_rows ; high assists ; mo williams } } ; 2 } = true | select the rows whose high assists record fuzzily matches to mo williams . 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, 'high assists_5': 5, 'mo williams_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', 'high assists_5': 'high assists', 'mo williams_6': 'mo williams', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'high assists_5': [0], 'mo williams_6': [0], '2_7': [2]} | ['game', 'date', 'team', 'score', 'high points', 'high rebounds', 'high assists', 'location attendance', 'record'] | [['18', 'december 2', 'phoenix suns', 'w 107 - 90 ( ot )', 'zydrunas ilgauskas ( 14 )', "shaquille o'neal ( 9 )", 'lebron james ( 10 )', 'quicken loans arena 20562', '13 - 5'], ['19', 'december 4', 'chicago bulls', 'w 101 - 87 ( ot )', 'lebron james ( 23 )', "zydrunas ilgauskas , shaquille o'neal ( 7 )", 'lebron james ... |
athletics at the 1982 commonwealth games | https://en.wikipedia.org/wiki/Athletics_at_the_1982_Commonwealth_Games | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12972743-3.html.csv | superlative | the highest number of silver medals won at the 1982 commonwealth games was by england . | {'scope': 'all', 'col_superlative': '4', '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', 'silver'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; silver }'}, 'nation'], 'result': 'england', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; silver } ; nation }'}, 'england'], 'result': True, 'ind': 2, 'tost... | eq { hop { argmax { all_rows ; silver } ; nation } ; england } = true | select the row whose silver record of all rows is maximum . the nation record of this row is england . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'silver_5': 5, 'nation_6': 6, 'england_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'silver_5': 'silver', 'nation_6': 'nation', 'england_7': 'england'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'silver_5': [0], 'nation_6': [1], 'england_7': [2]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'england', '11', '10', '11', '32'], ['2', 'australia', '9', '9', '4', '22'], ['3', 'canada', '6', '7', '8', '21'], ['4', 'scotland', '3', '1', '6', '10'], ['5', 'bahamas', '2', '2', '1', '5'], ['6', 'new zealand', '2', '1', '3', '6'], ['7', 'jamaica', '2', '1', '1', '4'], ['8', 'wales', '2', '1', '0', '3'], ['9'... |
automobiles gonfaronnaises sportives | https://en.wikipedia.org/wiki/Automobiles_Gonfaronnaises_Sportives | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1226665-1.html.csv | superlative | ags jh25b ags jh27 is the latest model of chasis being introduced to the market among automobiles gonfaronnaises sportives . | {'scope': 'all', 'col_superlative': '1', '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', 'year'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; year }'}, 'chassis'], 'result': 'ags jh25b ags jh27', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; year } ; chassis }'}, 'ags jh25b ags jh27'], 'result': Tru... | eq { hop { argmax { all_rows ; year } ; chassis } ; ags jh25b ags jh27 } = true | select the row whose year record of all rows is maximum . the chassis record of this row is ags jh25b ags jh27 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'year_5': 5, 'chassis_6': 6, 'ags jh25b ags jh27_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'year_5': 'year', 'chassis_6': 'chassis', 'ags jh25b ags jh27_7': 'ags jh25b ags jh27'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'year_5': [0], 'chassis_6': [1], 'ags jh25b ags jh27_7': [2]} | ['year', 'chassis', 'engine', 'tyres', 'points'] | [['1986', 'ags jh21c', 'motori moderni 615 - 90 v6 ( t / c )', 'p', '0'], ['1987', 'ags jh22', 'ford dfz v8', 'g', '1'], ['1988', 'ags jh23', 'ford dfz v8', 'g', '0'], ['1989', 'ags jh23b ags jh24', 'ford dfr v8', 'g', '1'], ['1990', 'ags jh24 ags jh25', 'ford dfr v8', 'g', '0'], ['1991', 'ags jh25b ags jh27', 'ford df... |
list of republic of doyle episodes | https://en.wikipedia.org/wiki/List_of_Republic_of_Doyle_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27547668-3.html.csv | aggregation | the average viewership across all republic of doyle episodes is around 880000 . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '880000', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'viewers'], 'result': '880000', 'ind': 0, 'tostr': 'avg { all_rows ; viewers }'}, '880000'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; viewers } ; 880000 } = true', 'tointer': 'the average of the viewers record of all rows is 88000... | round_eq { avg { all_rows ; viewers } ; 880000 } = true | the average of the viewers record of all rows is 880000 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'viewers_4': 4, '880000_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'viewers_4': 'viewers', '880000_5': '880000'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'viewers_4': [0], '880000_5': [1]} | ['', 'no', 'title', 'directed by', 'written by', 'viewers', 'original airdate', 'prod code'] | [['13', '1', 'live and let doyle', 'james allodi', 'allan hawco', '1038000', 'january 12 , 2011', '201'], ['14', '2', 'popeye doyle', 'steve scaini', 'allan hawco', '944000', 'january 19 , 2011', '202'], ['15', '3', 'a stand up guy', 'steve scaini', 'perry chafe', '776000', 'january 26 , 2011', '203'], ['16', '4', 'the... |
1931 vfl season | https://en.wikipedia.org/wiki/1931_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10789881-9.html.csv | ordinal | the second biggest crowd on july 4 , 1931 was at the game at mcg . | {'row': '1', 'col': '6', 'order': '2', 'col_other': '5', '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', 'crowd', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; crowd ; 2 }'}, 'venue'], 'result': 'mcg', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; crowd ; 2 } ; venue }'}, 'mcg'], 'result': True, 'in... | eq { hop { nth_argmax { all_rows ; crowd ; 2 } ; venue } ; mcg } = true | select the row whose crowd record of all rows is 2nd maximum . the venue record of this row is mcg . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'crowd_5': 5, '2_6': 6, 'venue_7': 7, 'mcg_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', 'crowd_5': 'crowd', '2_6': '2', 'venue_7': 'venue', 'mcg_8': 'mcg'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'crowd_5': [0], '2_6': [0], 'venue_7': [1], 'mcg_8': [2]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['melbourne', '4.12 ( 36 )', 'st kilda', '9.9 ( 63 )', 'mcg', '15826', '4 july 1931'], ['geelong', '13.9 ( 87 )', 'hawthorn', '9.7 ( 61 )', 'corio oval', '9500', '4 july 1931'], ['fitzroy', '8.13 ( 61 )', 'richmond', '14.17 ( 101 )', 'brunswick street oval', '15000', '4 july 1931'], ['south melbourne', '10.13 ( 73 )',... |
family life radio | https://en.wikipedia.org/wiki/Family_Life_Radio | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17101015-10.html.csv | count | the family life radio has 5 different frequency mhz . | {'scope': 'all', 'criterion': 'all', 'value': 'n/a', 'result': '5', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_all', 'args': ['all_rows', 'frequency mhz'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose frequency mhz record is arbitrary .', 'tostr': 'filter_all { all_rows ; frequency mhz }'}], 'result': '5', 'ind': 1, 'tostr': 'count { filter_all {... | eq { count { filter_all { all_rows ; frequency mhz } } ; 5 } = true | select the rows whose frequency mhz 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, 'frequency mhz_5': 5, '5_6': 6} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_all_0': 'filter_all', 'all_rows_4': 'all_rows', 'frequency mhz_5': 'frequency mhz', '5_6': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_all_0': [1], 'all_rows_4': [0], 'frequency mhz_5': [0], '5_6': [2]} | ['call sign', 'frequency mhz', 'city of license', 'erp w', 'fcc info'] | [['kamy', '90.1', 'lubbock , texas', '63000', ''], ['kflb', '88.1', 'midland , texas', '100000', ''], ['kflb', '920', 'odessa , texas', '1000 day 500 night', ''], ['krgn', '102.9', 'amarillo , texas', '100000', ''], ['k297au', '107.3', 'big spring , texas', '62', 'fcc']] |
1967 st. louis cardinals ( nfl ) season | https://en.wikipedia.org/wiki/1967_St._Louis_Cardinals_%28NFL%29_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16678283-1.html.csv | ordinal | the earliest game the new york giants played in the 1967 st. louis cardinals ( nfl ) season was september 17 , 1967 . | {'scope': 'subset', 'row': '1', 'col': '2', 'order': '1', 'col_other': 'n/a', 'max_or_min': 'min_to_max', 'value_mentioned': 'yes', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'new york giants'}} | {'func': 'eq', 'args': [{'func': 'nth_min', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'new york giants'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; opponent ; new york giants }', 'tointer': 'select the rows whose opponent record fuzzily matches to new york giants .'}, 'date', ... | eq { nth_min { filter_eq { all_rows ; opponent ; new york giants } ; date ; 1 } ; september 17 , 1967 } = true | select the rows whose opponent record fuzzily matches to new york giants . the 1st minimum date record of these rows is september 17 , 1967 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'nth_min_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'opponent_5': 5, 'new york giants_6': 6, 'date_7': 7, '1_8': 8, 'september 17 , 1967_9': 9} | {'eq_2': 'eq', 'result_3': 'true', 'nth_min_1': 'nth_min', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'opponent_5': 'opponent', 'new york giants_6': 'new york giants', 'date_7': 'date', '1_8': '1', 'september 17 , 1967_9': 'september 17 , 1967'} | {'eq_2': [3], 'result_3': [], 'nth_min_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'opponent_5': [0], 'new york giants_6': [0], 'date_7': [1], '1_8': [1], 'september 17 , 1967_9': [2]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 17 , 1967', 'new york giants', 'l 37 - 20', '40801'], ['2', 'september 24 , 1967', 'pittsburgh steelers', 'w 28 - 14', '45579'], ['3', 'october 1 , 1967', 'detroit lions', 'w 38 - 28', '43821'], ['4', 'october 8 , 1967', 'minnesota vikings', 'w 34 - 24', '40017'], ['5', 'october 15 , 1967', 'cleveland... |
2008 nascar craftsman truck series | https://en.wikipedia.org/wiki/2008_NASCAR_Craftsman_Truck_Series | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14292964-20.html.csv | count | four cars made by toyota competed in this race . | {'scope': 'all', 'criterion': 'equal', 'value': 'toyota', 'result': '4', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'make', 'toyota'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose make record fuzzily matches to toyota .', 'tostr': 'filter_eq { all_rows ; make ; toyota }'}], 'result': '4', 'ind': 1, 'tostr': 'count { filte... | eq { count { filter_eq { all_rows ; make ; toyota } } ; 4 } = true | select the rows whose make record fuzzily matches to toyota . 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, 'make_5': 5, 'toyota_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', 'make_5': 'make', 'toyota_6': 'toyota', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'make_5': [0], 'toyota_6': [0], '4_7': [2]} | ['pos', 'car', 'driver', 'make', 'team'] | [['1', '33', 'ron hornaday', 'chevrolet', 'kevin harvick incorporated'], ['2', '18', 'dennis setzer', 'dodge', 'bobby hamilton racing - virginia'], ['3', '23', 'johnny benson', 'toyota', 'bill davis racing'], ['4', '30', 'todd bodine', 'toyota', 'germian racing'], ['5', '2', 'jack sprague', 'chevy', 'kevin harvick inco... |
athletics at the 2008 summer olympics - men 's 200 metres | https://en.wikipedia.org/wiki/Athletics_at_the_2008_Summer_Olympics_%E2%80%93_Men%27s_200_metres | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18569011-3.html.csv | unique | shawn crawford was the only athlete from the united states . | {'scope': 'all', 'row': '1', 'col': '4', 'col_other': '3', 'criterion': 'equal', 'value': 'united states', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nationality', 'united states'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nationality record fuzzily matches to united states .', 'tostr': 'filter_eq { all_rows ; nationality ; united states }'}], 'resul... | and { only { filter_eq { all_rows ; nationality ; united states } } ; eq { hop { filter_eq { all_rows ; nationality ; united states } ; athlete } ; shawn crawford } } = true | select the rows whose nationality record fuzzily matches to united states . there is only one such row in the table . the athlete record of this unqiue row is shawn crawford . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'nationality_7': 7, 'united states_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'athlete_9': 9, 'shawn crawford_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'nationality_7': 'nationality', 'united states_8': 'united states', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'athlete_9': 'athlete', 'shawn crawford_10': 'shawn crawford'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'nationality_7': [0], 'united states_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'athlete_9': [2], 'shawn crawford_10': [3]} | ['rank', 'lane', 'athlete', 'nationality', 'time', 'react'] | [['1', '4', 'shawn crawford', 'united states', '20.61', '0.216'], ['2', '6', 'marcin jędrusiński', 'poland', '20.64', '0.199'], ['3', '7', 'stephan buckland', 'mauritius', '20.98', '0.229'], ['4', '1', 'jiří vojtík', 'czech republic', '21.05', '0.165'], ['5', '9', 'fanuel kenosi', 'botswana', '21.09', '0.211'], ['6', '... |
el tamarugal | https://en.wikipedia.org/wiki/El_Tamarugal | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13764346-1.html.csv | unique | in el tamarugal , the province commune is the only one that had a population of over 20,000 in 2002 . | {'scope': 'all', 'row': '6', 'col': '3', 'col_other': '1', 'criterion': 'greater_than', 'value': '20000', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_greater', 'args': ['all_rows', '2002 population', '20000'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose 2002 population record is greater than 20000 .', 'tostr': 'filter_greater { all_rows ; 2002 population ; 20000 }'}], 'result': True,... | and { only { filter_greater { all_rows ; 2002 population ; 20000 } } ; eq { hop { filter_greater { all_rows ; 2002 population ; 20000 } ; commune } ; province } } = true | select the rows whose 2002 population record is greater than 20000 . there is only one such row in the table . the commune record of this unqiue row is province . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_greater_0': 0, 'all_rows_6': 6, '2002 population_7': 7, '20000_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'commune_9': 9, 'province_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_greater_0': 'filter_greater', 'all_rows_6': 'all_rows', '2002 population_7': '2002 population', '20000_8': '20000', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'commune_9': 'commune', 'province_10': 'province'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_greater_0': [1, 2], 'all_rows_6': [0], '2002 population_7': [0], '20000_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'commune_9': [2], 'province_10': [3]} | ['commune', 'area ( km 2 )', '2002 population', 'density ( km 2 )', 'government website'] | [['pozo almonte ( capital )', '13765.8', '10830', '0.8', 'link'], ['pica', '8934.3', '6178', '0.7', 'link'], ['huara', '10474.6', '2599', '0.2', 'link'], ['colchane', '4015.6', '1649', '0.4', 'link'], ['camiã ± a', '2200.2', '1275', '0.6', 'none'], ['province', '39390.5', '22531', '0.6', 'link']] |
2006 east asian judo championships | https://en.wikipedia.org/wiki/2006_East_Asian_Judo_Championships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18991964-3.html.csv | majority | in the 2006 east asian judo championships most nations earned at least one gold . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'greater_than_eq', 'value': '1', 'subset': None} | {'func': 'most_greater_eq', 'args': ['all_rows', 'gold', '1'], 'result': True, 'ind': 0, 'tointer': 'for the gold records of all rows , most of them are greater than or equal to 1 .', 'tostr': 'most_greater_eq { all_rows ; gold ; 1 } = true'} | most_greater_eq { all_rows ; gold ; 1 } = true | for the gold records of all rows , most of them are greater than or equal to 1 . | 1 | 1 | {'most_greater_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'gold_3': 3, '1_4': 4} | {'most_greater_eq_0': 'most_greater_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'gold_3': 'gold', '1_4': '1'} | {'most_greater_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'gold_3': [0], '1_4': [0]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'japan', '6', '1', '6', '13'], ['2', 'china', '3', '4', '4', '11'], ['3', 'south korea', '3', '3', '3', '9'], ['4', 'mongolia', '1', '5', '12', '18'], ['5', 'north korea', '1', '1', '2', '4'], ['6', 'chinese taipei', '0', '0', '1', '1'], ['total', 'total', '14', '14', '28', '56']] |
2008 - 09 detroit red wings season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Detroit_Red_Wings_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17371135-5.html.csv | comparative | more people went to the game on november 22 than the one on november 29 . | {'row_1': '8', 'row_2': '12', 'col': '6', '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', 'november 22'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to november 22 .', 'tostr': 'filter_eq { all_rows ; date ; november 22 }'}, 'attendance'], 'result': No... | greater { hop { filter_eq { all_rows ; date ; november 22 } ; attendance } ; hop { filter_eq { all_rows ; date ; november 29 } ; attendance } } = true | select the rows whose date record fuzzily matches to november 22 . take the attendance record of this row . select the rows whose date record fuzzily matches to november 29 . 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, 'november 22_8': 8, 'attendance_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'date_11': 11, 'november 29_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', 'november 22_8': 'november 22', 'attendance_9': 'attendance', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'date_11': 'date', 'no... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'date_7': [0], 'november 22_8': [0], 'attendance_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'date_11': [1], 'november 29_12': [1], 'attendance_13': [3]} | ['date', 'visitor', 'score', 'home', 'decision', 'attendance', 'record'] | [['november 2', 'detroit', '3 - 2', 'vancouver', 'osgood', '18630', '8 - 2 - 2'], ['november 8', 'new jersey', '1 - 3', 'detroit', 'osgood', '20066', '9 - 2 - 2'], ['november 11', 'pittsburgh', '7 - 6', 'detroit', 'osgood', '20066', '9 - 2 - 3'], ['november 13', 'detroit', '4 - 3', 'tampa bay', 'osgood', '20544', '10 -... |
brecht wallis | https://en.wikipedia.org/wiki/Brecht_Wallis | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11286695-1.html.csv | count | brecht wallis had a total of three fights in the location of las vegas , nevada , usa . | {'scope': 'all', 'criterion': 'equal', 'value': 'las vegas , nevada , usa', 'result': '3', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'location', 'las vegas , nevada , usa'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose location record fuzzily matches to las vegas , nevada , usa .', 'tostr': 'filter_eq { all_rows ; location ; las vegas , n... | eq { count { filter_eq { all_rows ; location ; las vegas , nevada , usa } } ; 3 } = true | select the rows whose location record fuzzily matches to las vegas , nevada , usa . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'location_5': 5, 'las vegas , nevada , usa_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'location_5': 'location', 'las vegas , nevada , usa_6': 'las vegas , nevada , usa', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'location_5': [0], 'las vegas , nevada , usa_6': [0], '3_7': [2]} | ['date', 'result', 'opponent', 'location', 'method'] | [['2013 - 04 - 27', 'win', 'martinis knyzelis', 'vilnius , lithuania', 'decision'], ['2007 - 06 - 25', 'loss', 'björn bregy', 'amsterdam , netherlands', 'decision ( unanimous )'], ['2007 - 05 - 04', 'win', 'paula mataele', 'bucharest , romania', 'ko ( straight punch )'], ['2007 - 05 - 04', 'win', 'errol zimmerman', 'bu... |
czech republic at the 2008 summer olympics | https://en.wikipedia.org/wiki/Czech_Republic_at_the_2008_Summer_Olympics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-17289604-38.html.csv | unique | iveta benešová nicole vaidišová was the only person representing the czech republic in doubles in the 2008 olympics . | {'scope': 'all', 'row': '5', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': 'doubles', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'event', 'doubles'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose event record fuzzily matches to doubles .', 'tostr': 'filter_eq { all_rows ; event ; doubles }'}], 'result': True, 'ind': 1, 'tostr': 'only {... | and { only { filter_eq { all_rows ; event ; doubles } } ; eq { hop { filter_eq { all_rows ; event ; doubles } ; athlete } ; iveta benešová nicole vaidišová } } = true | select the rows whose event record fuzzily matches to doubles . there is only one such row in the table . the athlete record of this unqiue row is iveta benešová nicole vaidišová . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'event_7': 7, 'doubles_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'athlete_9': 9, 'iveta benešová nicole vaidišová_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'event_7': 'event', 'doubles_8': 'doubles', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'athlete_9': 'athlete', 'iveta benešová nicole vaidišová_10': 'iveta benešová nicole vaidišová'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'event_7': [0], 'doubles_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'athlete_9': [2], 'iveta benešová nicole vaidišová_10': [3]} | ['athlete', 'event', 'round of 64', 'round of 32', 'round of 16', 'quarterfinals'] | [['iveta benešová', 'singles', 'mirza ( ind ) w 6 - 2 , 2 - 1 r', 'v williams ( usa ) l 1 - 6 , 4 - 6', 'did not advance', 'did not advance'], ['lucie šafářová', 'singles', 'ani ( est ) w 6 - 4 , 6 - 2', 'koryttseva ( ukr ) w 2 - 6 , 6 - 1 , 7 - 5', 'bammer ( aut ) l 5 - 7 , 4 - 6', 'did not advance'], ['nicole vaidišo... |
list of tallest buildings in nashville | https://en.wikipedia.org/wiki/List_of_tallest_buildings_in_Nashville | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12169960-1.html.csv | superlative | at & t building has the most floors among the buildings in nashville . | {'scope': 'all', 'col_superlative': '4', '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', 'floors'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; floors }'}, 'name'], 'result': 'at & t building', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; floors } ; name }'}, 'at & t building'], 'result': True, 'in... | eq { hop { argmax { all_rows ; floors } ; name } ; at & t building } = true | select the row whose floors record of all rows is maximum . the name record of this row is at & t building . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'floors_5': 5, 'name_6': 6, 'at&t building_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'floors_5': 'floors', 'name_6': 'name', 'at&t building_7': 'at & t building'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'floors_5': [0], 'name_6': [1], 'at&t building_7': [2]} | ['rank', 'name', 'height ft ( m )', 'floors', 'year'] | [['1', 'at & t building', '617 ( 188 )', '33', '1994'], ['2', 'fifth third center', '490 ( 149 )', '31', '1986'], ['3', 'william r snodgrass tennessee tower', '452 ( 138 )', '31', '1970'], ['4', 'pinnacle at symphony place', '417 ( 127 )', '28', '2010'], ['5', 'life and casualty tower', '409 ( 125 )', '30', '1957'], ['... |
1992 citizen cup | https://en.wikipedia.org/wiki/1992_Citizen_Cup | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11002159-1.html.csv | unique | in the 1992 citizen cup , when the syndicate is america 3 foundation , the only time the yacht is kanza is when the sail is usa - 28 . | {'scope': 'subset', 'row': '4', 'col': '2', 'col_other': '1,3', 'criterion': 'equal', 'value': 'kanza', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'america 3 foundation'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'syndicate', 'america 3 foundation'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; syndicate ; america 3 foundation }', 'tointer': 'select the rows whose syndicate record fu... | and { only { filter_eq { filter_eq { all_rows ; syndicate ; america 3 foundation } ; yacht ; kanza } } ; eq { hop { filter_eq { filter_eq { all_rows ; syndicate ; america 3 foundation } ; yacht ; kanza } ; sail } ; usa - 28 } } = true | select the rows whose syndicate record fuzzily matches to america 3 foundation . among these rows , select the rows whose yacht record fuzzily matches to kanza . there is only one such row in the table . the sail record of this unqiue row is usa - 28 . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'syndicate_8': 8, 'america 3 foundation_9': 9, 'yacht_10': 10, 'kanza_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'sail_12': 12, 'usa - 28_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'syndicate_8': 'syndicate', 'america 3 foundation_9': 'america 3 foundation', 'yacht_10': 'yacht', 'kanza_11': 'kanza', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', '... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_str_eq_1': [2, 3], 'filter_str_eq_0': [1], 'all_rows_7': [0], 'syndicate_8': [0], 'america 3 foundation_9': [0], 'yacht_10': [1], 'kanza_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'sail_12': [3], 'usa - 28_13': [4]} | ['sail', 'yacht', 'syndicate', 'yacht club', 'nation'] | [['usa - 9', 'jayhawk', 'america 3 foundation', 'san diego yacht club', 'united states'], ['usa - 18', 'defiant', 'america 3 foundation', 'san diego yacht club', 'united states'], ['usa - 23', 'america 3', 'america 3 foundation', 'san diego yacht club', 'united states'], ['usa - 28', 'kanza', 'america 3 foundation', 's... |
ohio river valley conference | https://en.wikipedia.org/wiki/Ohio_River_Valley_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18717975-2.html.csv | count | four schools joined the ohio river valley conference in 1953 . | {'scope': 'all', 'criterion': 'equal', 'value': '1953', 'result': '4', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'year joined', '1953'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose year joined record is equal to 1953 .', 'tostr': 'filter_eq { all_rows ; year joined ; 1953 }'}], 'result': '4', 'ind': 1, 'tostr': 'count { f... | eq { count { filter_eq { all_rows ; year joined ; 1953 } } ; 4 } = true | select the rows whose year joined record is equal to 1953 . 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, 'year joined_5': 5, '1953_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'year joined_5': 'year joined', '1953_6': '1953', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'year joined_5': [0], '1953_6': [0], '4_7': [2]} | ['school', 'location', 'mascot', 'county', 'year joined', 'year left', 'conference joined'] | [['hanover', 'hanover', 'bulldogs', '39 jefferson', '1952', '1960', 'none ( consolidated into southwestern )'], ['north ( madison )', 'madison', 'tigers', '39 jefferson', '1952', '1953', 'none ( colsolidated into madison )'], ['osgood', 'osgood', 'cowboys', '69 ripley', '1952', '1960', 'none ( consolidated into jac - c... |
kairat nurdauletov | https://en.wikipedia.org/wiki/Kairat_Nurdauletov | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12706952-1.html.csv | unique | on 8 september 2007 , kairat nurdauletov recorded the only draw result . | {'scope': 'all', 'row': '1', 'col': '4', 'col_other': '1', 'criterion': 'equal', 'value': 'draw', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'result', 'draw'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose result record fuzzily matches to draw .', 'tostr': 'filter_eq { all_rows ; result ; draw }'}], 'result': True, 'ind': 1, 'tostr': 'only { filte... | and { only { filter_eq { all_rows ; result ; draw } } ; eq { hop { filter_eq { all_rows ; result ; draw } ; date } ; 8 september 2007 } } = true | select the rows whose result record fuzzily matches to draw . there is only one such row in the table . the date record of this unqiue row is 8 september 2007 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'result_7': 7, 'draw_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'date_9': 9, '8 september 2007_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'result_7': 'result', 'draw_8': 'draw', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'date_9': 'date', '8 september 2007_10': '8 september 2007'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'result_7': [0], 'draw_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'date_9': [2], '8 september 2007_10': [3]} | ['date', 'venue', 'score', 'result', 'competition'] | [['8 september 2007', 'central stadium , almaty , kazakhstan', '1 - 1', 'draw', 'friendly'], ['7 october 2011', 'king baudouin stadium , almaty , kazakhstan', '4 - 1', 'lost', 'friendly'], ['1 june 2012', 'central stadium , almaty , kazakhstan', '5 - 2', 'win', 'friendly'], ['7 september 2012', 'astana arena , astana ,... |
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 | aggregation | all somerset cricket club team members played an average of 22 innings . | {'scope': 'all', 'col': '3', 'type': 'average', 'result': '22', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'innings'], 'result': '22', 'ind': 0, 'tostr': 'avg { all_rows ; innings }'}, '22'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; innings } ; 22 } = true', 'tointer': 'the average of the innings record of all rows is 22 .'} | round_eq { avg { all_rows ; innings } ; 22 } = true | the average of the innings record of all rows is 22 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'innings_4': 4, '22_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'innings_4': 'innings', '22_5': '22'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'innings_4': [0], '22_5': [1]} | ['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',... |
list of nuclear weapons tests | https://en.wikipedia.org/wiki/List_of_nuclear_weapons_tests | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2189647-1.html.csv | superlative | the biggest nuclear weapons test yield between 1952 and 1962 was 50 megatons . | {'scope': 'all', 'col_superlative': '2', 'row_superlative': '1', 'value_mentioned': 'yes', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'max', 'args': ['all_rows', 'yield ( megatons )'], 'result': '50', 'ind': 0, 'tostr': 'max { all_rows ; yield ( megatons ) }', 'tointer': 'the maximum yield ( megatons ) record of all rows is 50 .'}, '50'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows... | and { eq { max { all_rows ; yield ( megatons ) } ; 50 } ; eq { hop { argmax { all_rows ; yield ( megatons ) } ; date ( gmt ) } ; october 30 , 1961 } } = true | the maximum yield ( megatons ) record of all rows is 50 . the date ( gmt ) record of the row with superlative yield ( megatons ) record is october 30 , 1961 . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'max_0': 0, 'all_rows_7': 7, 'yield (megatons)_8': 8, '50_9': 9, 'str_eq_4': 4, 'str_hop_3': 3, 'argmax_2': 2, 'all_rows_10': 10, 'yield (megatons)_11': 11, 'date (gmt)_12': 12, 'october 30 , 1961_13': 13} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'max_0': 'max', 'all_rows_7': 'all_rows', 'yield (megatons)_8': 'yield ( megatons )', '50_9': '50', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'argmax_2': 'argmax', 'all_rows_10': 'all_rows', 'yield (megatons)_11': 'yield ( megatons )', 'date (gmt)_12': 'date ( gmt ... | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'max_0': [1], 'all_rows_7': [0], 'yield (megatons)_8': [0], '50_9': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'argmax_2': [3], 'all_rows_10': [2], 'yield (megatons)_11': [2], 'date (gmt)_12': [3], 'october 30 , 1961_13': [4]} | ['date ( gmt )', 'yield ( megatons )', 'deployment', 'country', 'test site', 'name or number'] | [['october 30 , 1961', '50', 'parachute air drop', 'soviet union', 'novaya zemlya', 'tsar bomba , test 130'], ['december 24 , 1962', '24.2', 'air drop', 'soviet union', 'novaya zemlya', 'test 219'], ['august 5 , 1962', '21.1', 'air drop', 'soviet union', 'novaya zemlya', 'test 147'], ['september 27 , 1962', '20.0', 'ai... |
1952 vfl season | https://en.wikipedia.org/wiki/1952_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10750694-19.html.csv | count | a total of 6 games were played on the day of 30 august 1952 . | {'scope': 'all', 'criterion': 'equal', 'value': '30 august 1952', 'result': '6', 'col': '7', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', '30 august 1952'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to 30 august 1952 .', 'tostr': 'filter_eq { all_rows ; date ; 30 august 1952 }'}], 'result': '6', 'ind': 1,... | eq { count { filter_eq { all_rows ; date ; 30 august 1952 } } ; 6 } = true | select the rows whose date record fuzzily matches to 30 august 1952 . 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, 'date_5': 5, '30 august 1952_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', 'date_5': 'date', '30 august 1952_6': '30 august 1952', '6_7': '6'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'date_5': [0], '30 august 1952_6': [0], '6_7': [2]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['hawthorn', '8.11 ( 59 )', 'north melbourne', '12.10 ( 82 )', 'glenferrie oval', '6000', '30 august 1952'], ['footscray', '13.13 ( 91 )', 'south melbourne', '8.13 ( 61 )', 'western oval', '20723', '30 august 1952'], ['collingwood', '13.14 ( 92 )', 'melbourne', '10.11 ( 71 )', 'victoria park', '18753', '30 august 1952... |
1972 u.s. open ( golf ) | https://en.wikipedia.org/wiki/1972_U.S._Open_%28golf%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17245554-3.html.csv | count | 11 players in the 1972 u.s. open were from the united states . | {'scope': 'all', 'criterion': 'equal', 'value': 'united states', 'result': '11', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'united states'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose country record fuzzily matches to united states .', 'tostr': 'filter_eq { all_rows ; country ; united states }'}], 'result': '11', 'i... | eq { count { filter_eq { all_rows ; country ; united states } } ; 11 } = true | select the rows whose country record fuzzily matches to united states . the number of such rows is 11 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'country_5': 5, 'united states_6': 6, '11_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'country_5': 'country', 'united states_6': 'united states', '11_7': '11'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'country_5': [0], 'united states_6': [0], '11_7': [2]} | ['place', 'player', 'country', 'score', 'to par'] | [['t1', 'jack nicklaus', 'united states', '71 + 73 = 144', 'e'], ['t1', 'bruce crampton', 'australia', '74 + 70 = 144', 'e'], ['t1', 'kermit zarley', 'united states', '71 + 73 = 144', 'e'], ['t1', 'lanny wadkins', 'united states', '76 + 68 = 144', 'e'], ['t1', 'homero blancas', 'united states', '74 + 70 = 144', 'e'], [... |
1926 european aquatics championships | https://en.wikipedia.org/wiki/1926_European_Aquatics_Championships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10636637-1.html.csv | superlative | germany received the most gold medals during the 1926 european aquatics championships . | {'scope': 'all', 'col_superlative': '3', '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', 'gold'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; gold }'}, 'nation'], 'result': 'germany', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; gold } ; nation }'}, 'germany'], 'result': True, 'ind': 2, 'tostr': 'e... | eq { hop { argmax { all_rows ; gold } ; nation } ; germany } = true | select the row whose gold 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, 'gold_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', 'gold_5': 'gold', 'nation_6': 'nation', 'germany_7': 'germany'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'gold_5': [0], 'nation_6': [1], 'germany_7': [2]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'germany', '5', '3', '4', '12'], ['2', 'sweden', '2', '3', '3', '9'], ['3', 'hungary', '2', '2', '0', '4'], ['4', 'belgium', '0', '1', '0', '1'], ['5', 'czechoslovakia', '0', '0', '1', '1'], ['5', 'great britain', '0', '0', '1', '1'], ['total', 'total', '9', '9', '9', '27']] |
heartland collegiate athletic conference | https://en.wikipedia.org/wiki/Heartland_Collegiate_Athletic_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-255205-1.html.csv | unique | in the heartland collegiate athletic conference , anderson university is the only institution with an enrollment of over 3000 . | {'scope': 'all', 'row': '1', 'col': '6', 'col_other': '1', 'criterion': 'greater_than', 'value': '3000', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'enrollment', '3000'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose enrollment record is greater than 3000 .', 'tostr': 'filter_greater { all_rows ; enrollment ; 3000 }'}], 'result': True, 'ind': 1, 'tostr'... | and { only { filter_greater { all_rows ; enrollment ; 3000 } } ; eq { hop { filter_greater { all_rows ; enrollment ; 3000 } ; institution } ; anderson university } } = true | select the rows whose enrollment record is greater than 3000 . there is only one such row in the table . the institution record of this unqiue row is anderson university . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_greater_0': 0, 'all_rows_6': 6, 'enrollment_7': 7, '3000_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'institution_9': 9, 'anderson university_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_greater_0': 'filter_greater', 'all_rows_6': 'all_rows', 'enrollment_7': 'enrollment', '3000_8': '3000', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'institution_9': 'institution', 'anderson university_10': 'anderson university'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_greater_0': [1, 2], 'all_rows_6': [0], 'enrollment_7': [0], '3000_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'institution_9': [2], 'anderson university_10': [3]} | ['institution', 'location', 'nickname', 'founded', 'type', 'enrollment', 'joined'] | [['anderson university', 'anderson , indiana', 'ravens', '1917', 'private / church of god', '3065', '1987'], ['bluffton university', 'bluffton , ohio', 'beavers', '1899', 'private / mennonite', '1191', '1998'], ['college of mount st joseph', 'cincinnati , ohio', 'lions', '1920', 'private / catholic', '2259', '1998'], [... |
satoru nakajima | https://en.wikipedia.org/wiki/Satoru_Nakajima | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1226566-2.html.csv | unique | 1989 was the only year that satoru nakajima drove with a judd v8 type engine . | {'scope': 'all', 'row': '3', 'col': '4', 'col_other': '1', 'criterion': 'equal', 'value': 'judd v8', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'engine', 'judd v8'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose engine record fuzzily matches to judd v8 .', 'tostr': 'filter_eq { all_rows ; engine ; judd v8 }'}], 'result': True, 'ind': 1, 'tostr': 'onl... | and { only { filter_eq { all_rows ; engine ; judd v8 } } ; eq { hop { filter_eq { all_rows ; engine ; judd v8 } ; year } ; 1989 } } = true | select the rows whose engine record fuzzily matches to judd v8 . there is only one such row in the table . the year record of this unqiue row is 1989 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'engine_7': 7, 'judd v8_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'year_9': 9, '1989_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'engine_7': 'engine', 'judd v8_8': 'judd v8', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'year_9': 'year', '1989_10': '1989'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'engine_7': [0], 'judd v8_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'year_9': [2], '1989_10': [3]} | ['year', 'entrant', 'chassis', 'engine', 'points'] | [['1987', 'camel team lotus honda', 'lotus 99t', 'honda v6', '7'], ['1988', 'camel team lotus honda', 'lotus 100t', 'honda v6', '1'], ['1989', 'camel team lotus', 'lotus 101', 'judd v8', '3'], ['1990', 'tyrrell racing organisation', 'tyrrell 018', 'cosworth v8', '3'], ['1990', 'tyrrell racing organisation', 'tyrrell 01... |
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/1-16388439-1.html.csv | count | during the 2001 ansett australia cup , among the games played at football park , one game had a crowd size of less than 16000 . | {'scope': 'subset', 'criterion': 'less_than', 'value': '16000', 'result': '1', 'col': '7', 'subset': {'col': '5', 'criterion': 'equal', 'value': 'football park'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_less', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'ground', 'football park'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; ground ; football park }', 'tointer': 'select the rows whose ground record fuzzily matches to football... | eq { count { filter_less { filter_eq { all_rows ; ground ; football park } ; crowd ; 16000 } } ; 1 } = true | select the rows whose ground record fuzzily matches to football park . among these rows , select the rows whose crowd record is less than 16000 . the number of such rows is 1 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_less_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'ground_6': 6, 'football park_7': 7, 'crowd_8': 8, '16000_9': 9, '1_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_less_1': 'filter_less', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'ground_6': 'ground', 'football park_7': 'football park', 'crowd_8': 'crowd', '16000_9': '16000', '1_10': '1'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_less_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'ground_6': [0], 'football park_7': [0], 'crowd_8': [1], '16000_9': [1], '1_10': [3]} | ['home team', 'home team score', 'away team', 'away team score', 'ground', 'date', 'crowd'] | [['geelong', '4.10 ( 34 )', 'sydney', '6.11 ( 47 )', 'marrara oval', 'friday , 16 february', '8500'], ['port adelaide', '16.25 ( 121 )', 'essendon', '5.12 ( 42 )', 'football park', 'saturday , 17 february', '19498'], ['port adelaide', '17.10 ( 112 )', 'sydney', '15.17 ( 107 )', 'football park', 'friday , 23 february', ... |
switzerland at the 2008 summer olympics | https://en.wikipedia.org/wiki/Switzerland_at_the_2008_Summer_Olympics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-17085947-32.html.csv | ordinal | olivier marceau recorded the fastest time in bike ( 40 km ) at the 2008 summer olympics . | {'row': '2', 'col': '5', 'order': '1', 'col_other': '1', 'max_or_min': 'min_to_max', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'bike ( 40 km )', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; bike ( 40 km ) ; 1 }'}, 'athlete'], 'result': 'olivier marceau', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; bike ( 40 km ) ; 1 }... | eq { hop { nth_argmin { all_rows ; bike ( 40 km ) ; 1 } ; athlete } ; olivier marceau } = true | select the row whose bike ( 40 km ) record of all rows is 1st minimum . the athlete record of this row is olivier marceau . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'bike (40 km)_5': 5, '1_6': 6, 'athlete_7': 7, 'olivier marceau_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', 'bike (40 km)_5': 'bike ( 40 km )', '1_6': '1', 'athlete_7': 'athlete', 'olivier marceau_8': 'olivier marceau'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'bike (40 km)_5': [0], '1_6': [0], 'athlete_7': [1], 'olivier marceau_8': [2]} | ['athlete', 'event', 'swim ( 1.5 km )', 'trans 1', 'bike ( 40 km )', 'trans 2', 'run ( 10 km )', 'total time', 'rank'] | [['reto hug', "men 's", '18:55', '0:27', '58:20', '0:29', '33:53', '1:52:04.93', '29'], ['olivier marceau', "men 's", '18:55', '0:29', '58:18', '0:31', '32:37', '1:50:50.07', '19'], ['sven riederer', "men 's", '18:14', '0:34', '58:52', '0:28', '33:11', '1:51:19.45', '23'], ['magali chopard di marco', "women 's", '19:50... |
sabyrkhan ibraev | https://en.wikipedia.org/wiki/Sabyrkhan_Ibraev | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18119901-1.html.csv | unique | the 2010 season is the only season that sabyrkhan ibraev did not score any goals in . | {'scope': 'all', 'row': '5', 'col': '7', 'col_other': '1', 'criterion': 'equal', 'value': '0', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'goals', '0'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose goals record is equal to 0 .', 'tostr': 'filter_eq { all_rows ; goals ; 0 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; goals... | and { only { filter_eq { all_rows ; goals ; 0 } } ; eq { hop { filter_eq { all_rows ; goals ; 0 } ; season } ; 2010 } } = true | select the rows whose goals record is equal to 0 . there is only one such row in the table . the season record of this unqiue row is 2010 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'goals_7': 7, '0_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'season_9': 9, '2010_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'goals_7': 'goals', '0_8': '0', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'season_9': 'season', '2010_10': '2010'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'goals_7': [0], '0_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'season_9': [2], '2010_10': [3]} | ['season', 'team', 'country', 'league', 'level', 'apps', 'goals'] | [['2006', 'irtysh', 'kazakhstan', 'premier league', '1', '27', '2'], ['2007', 'irtysh', 'kazakhstan', 'premier league', '1', '17', '1'], ['2008', 'tobol', 'kazakhstan', 'premier league', '1', '25', '3'], ['2009', 'tobol', 'kazakhstan', 'premier league', '1', '22', '1'], ['2010', 'kairat', 'kazakhstan', 'premier league'... |
list of game of the year awards | https://en.wikipedia.org/wiki/List_of_Game_of_the_Year_awards | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1851722-36.html.csv | unique | super smash bros melee was the only game in the fighting genre to win a game of the year award . | {'scope': 'all', 'row': '1', 'col': '3', 'col_other': '2', 'criterion': 'equal', 'value': 'fighting', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'genre', 'fighting'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose genre record fuzzily matches to fighting .', 'tostr': 'filter_eq { all_rows ; genre ; fighting }'}], 'result': True, 'ind': 1, 'tostr': 'onl... | and { only { filter_eq { all_rows ; genre ; fighting } } ; eq { hop { filter_eq { all_rows ; genre ; fighting } ; game } ; super smash bros melee } } = true | select the rows whose genre record fuzzily matches to fighting . there is only one such row in the table . the game record of this unqiue row is super smash bros melee . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'genre_7': 7, 'fighting_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'game_9': 9, 'super smash bros melee_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'genre_7': 'genre', 'fighting_8': 'fighting', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'game_9': 'game', 'super smash bros melee_10': 'super smash bros melee'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'genre_7': [0], 'fighting_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'game_9': [2], 'super smash bros melee_10': [3]} | ['year', 'game', 'genre', 'platform ( s )', 'developer ( s )'] | [['2001', 'super smash bros melee', 'fighting', 'gamecube', 'hal laboratory , inc'], ['2002', 'metroid prime', '( first - person ) action - adventure', 'gamecube', 'retro studios , nintendo'], ['2003', 'the legend of zelda : wind waker', 'action - adventure', 'gamecube', 'nintendo ead software development group no 3'],... |
1989 indianapolis colts season | https://en.wikipedia.org/wiki/1989_Indianapolis_Colts_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14875671-1.html.csv | count | in the 1989 colts season , there were two games where the opponent was the buffalo bills . | {'scope': 'all', 'criterion': 'equal', 'value': 'buffalo bills', 'result': '2', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'buffalo bills'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose opponent record fuzzily matches to buffalo bills .', 'tostr': 'filter_eq { all_rows ; opponent ; buffalo bills }'}], 'result': '2', ... | eq { count { filter_eq { all_rows ; opponent ; buffalo bills } } ; 2 } = true | select the rows whose opponent record fuzzily matches to buffalo bills . 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, 'buffalo bills_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', 'buffalo bills_6': 'buffalo bills', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'opponent_5': [0], 'buffalo bills_6': [0], '2_7': [2]} | ['week', 'date', 'opponent', 'result', 'record', 'game site', 'attendance'] | [['1', 'september 10 , 1989', 'san francisco 49ers', 'l 24 - 30', '0 - 1', 'hoosier dome', '60111'], ['2', 'september 17 , 1989', 'los angeles rams', 'l 17 - 31', '0 - 2', 'anaheim stadium', '63995'], ['3', 'september 24 , 1989', 'atlanta falcons', 'w 13 - 9', '1 - 2', 'hoosier dome', '57816'], ['4', 'october 1 , 1989'... |
fiba eurobasket 2009 squads | https://en.wikipedia.org/wiki/FIBA_EuroBasket_2009_squads | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23670057-5.html.csv | aggregation | the average hieght of all players on the russian fiba eurobasket 2009 squad is 2.01 meters . | {'scope': 'all', 'col': '3', 'type': 'average', 'result': '2.01', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'height ( m )'], 'result': '2.01', 'ind': 0, 'tostr': 'avg { all_rows ; height ( m ) }'}, '2.01'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; height ( m ) } ; 2.01 } = true', 'tointer': 'the average of the height ( m ) record of all... | round_eq { avg { all_rows ; height ( m ) } ; 2.01 } = true | the average of the height ( m ) record of all rows is 2.01 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'height (m)_4': 4, '2.01_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'height (m)_4': 'height ( m )', '2.01_5': '2.01'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'height (m)_4': [0], '2.01_5': [1]} | ['no', 'player', 'height ( m )', 'height ( f )', 'position', 'year born', 'current club'] | [['4', 'andrey vorontsevich', '2.07', "6 ' 09", 'forward', '1987', 'cska moscow'], ['5', 'nikita kurbanov', '2.03', "6 ' 08", 'forward', '1986', 'cska moscow'], ['6', 'sergey bykov', '1.90', "6 ' 03", 'guard', '1983', 'lokomotiv kuban'], ['7', 'vitaly fridzon', '1.95', "6 ' 05", 'guard', '1985', 'khimki'], ['8', 'kelly... |
sport in saint petersburg | https://en.wikipedia.org/wiki/Sport_in_Saint_Petersburg | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12978801-1.html.csv | count | there is a total of three ice hockey venues in st. petersburg . | {'scope': 'all', 'criterion': 'equal', 'value': 'ice hockey', 'result': '3', 'col': '3', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'sport', 'ice hockey'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose sport record fuzzily matches to ice hockey .', 'tostr': 'filter_eq { all_rows ; sport ; ice hockey }'}], 'result': '3', 'ind': 1, 'tostr':... | eq { count { filter_eq { all_rows ; sport ; ice hockey } } ; 3 } = true | select the rows whose sport record fuzzily matches to ice hockey . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'sport_5': 5, 'ice hockey_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'sport_5': 'sport', 'ice hockey_6': 'ice hockey', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'sport_5': [0], 'ice hockey_6': [0], '3_7': [2]} | ['club', 'league', 'sport', 'venue', 'established'] | [['zenit st petersburg', 'rfpl', 'football', 'petrovsky stadium', '1926'], ['spartak st petersburg', 'pbl', 'basketball', 'yubileyny sports palace', '1935'], ['avtomobilist st petesburg', 'vsl', 'volleyball', 'platonov volleyball academy', '1935'], ['ska st petersburg', 'khl', 'ice hockey', 'ice palace', '1946'], ['pol... |
list of danish consorts | https://en.wikipedia.org/wiki/List_of_Danish_consorts | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12418234-6.html.csv | count | three danish consort 's ceased to be consorts due to their husband 's death . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': "husband 's death", 'result': '3', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'ceased to be consort', "husband 's death"], 'result': None, 'ind': 0, 'tointer': "select the rows whose ceased to be consort record fuzzily matches to husband 's death .", 'tostr': "filter_eq { all_rows ; ceased to be con... | eq { count { filter_eq { all_rows ; ceased to be consort ; husband 's death } } ; 3 } = true | select the rows whose ceased to be consort record fuzzily matches to husband 's death . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'ceased to be consort_5': 5, "husband 's death_6": 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'ceased to be consort_5': 'ceased to be consort', "husband 's death_6": "husband 's death", '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'ceased to be consort_5': [0], "husband 's death_6": [0], '3_7': [2]} | ['name', 'birth', 'marriage', 'became consort', 'ceased to be consort', 'spouse'] | [['louise of hesse - kassel', '7 september 1817', '26 may 1842', "15 november 1863 husband 's ascession", '29 september 1898', 'christian ix'], ['louise of sweden', '31 october 1851', '28 july 1869', "29 january 1906 husband 's ascession", "14 may 1912 husband 's death", 'frederick viii'], ['alexandrine of mecklenburg ... |
sony xperia | https://en.wikipedia.org/wiki/Sony_Xperia | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23556331-4.html.csv | unique | the only sony xperia sony smartphone that has a 4.55 " screen is code-named aoba . | {'scope': 'all', 'row': '2', 'col': '9', 'col_other': '1', 'criterion': 'equal', 'value': '4.55', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'display', '4.55'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose display record is equal to 4.55 .', 'tostr': 'filter_eq { all_rows ; display ; 4.55 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { a... | and { only { filter_eq { all_rows ; display ; 4.55 } } ; eq { hop { filter_eq { all_rows ; display ; 4.55 } ; code name } ; aoba } } = true | select the rows whose display record is equal to 4.55 . there is only one such row in the table . the code name record of this unqiue row is aoba . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'display_7': 7, '4.55_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'code name_9': 9, 'aoba_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'display_7': 'display', '4.55_8': '4.55', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'code name_9': 'code name', 'aoba_10': 'aoba'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'display_7': [0], '4.55_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'code name_9': [2], 'aoba_10': [3]} | ['code name', 'market name', 'platform', 'release date', 'android version', 'system on chip', 'ram', 'rom', 'display', 'weight', 'battery ( mah )', 'bluetooth', 'wi - fi', 'nfc', 'camera', 'network'] | [['nozomi', 'xperia s', 'fuji', '2012 - 02', '2.3 / 4.0 / 4.1', '1.5 ghz qualcomm snapdragon s3 msm8260 , dual - core', '1 gb', '32 gb', '4.3 hd', '144 g', '1750', '2.1 + edr', '802.11 b / g / n', 'yes', 'rear : 12.1 mp front : 1.3 mp', 'gsm / hspa +'], ['aoba', 'xperia ion', 'fuji', '2012 - 03', '2.3 / 4.0 / 4.1', '1.... |
1976 los angeles rams season | https://en.wikipedia.org/wiki/1976_Los_Angeles_Rams_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11159520-2.html.csv | majority | all of the games played in december 1976 by the los angeles rams were wins . | {'scope': 'subset', 'col': '4', 'most_or_all': 'all', 'criterion': 'fuzzily_match', 'value': 'w', 'subset': {'col': '2', 'criterion': 'fuzzily_match', 'value': 'december 1976'}} | {'func': 'all_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'december 1976'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; date ; december 1976 }', 'tointer': 'select the rows whose date record fuzzily matches to december 1976 .'}, 'result', 'w'], 'result': True, 'ind': 1, 'toin... | all_eq { filter_eq { all_rows ; date ; december 1976 } ; result ; w } = true | select the rows whose date record fuzzily matches to december 1976 . for the result records of these rows , all of them fuzzily match to w . | 2 | 2 | {'all_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'date_4': 4, 'december 1976_5': 5, 'result_6': 6, 'w_7': 7} | {'all_str_eq_1': 'all_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'date_4': 'date', 'december 1976_5': 'december 1976', 'result_6': 'result', 'w_7': 'w'} | {'all_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'date_4': [0], 'december 1976_5': [0], 'result_6': [1], 'w_7': [1]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 12 , 1976', 'atlanta falcons', 'w 30 - 14', '53607'], ['2', 'september 19 , 1976', 'minnesota vikings', 't 10 - 10', '47310'], ['3', 'september 26 , 1976', 'new york giants', 'w 24 - 10', '60698'], ['4', 'october 3 , 1976', 'miami dolphins', 'w 31 - 28', '60753'], ['5', 'october 11 , 1976', 'san franc... |
martín machón | https://en.wikipedia.org/wiki/Mart%C3%ADn_Mach%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16525468-1.html.csv | superlative | the earliest date that martín machón played a friendly match was on november 7 , 1997 . | {'scope': 'subset', 'col_superlative': '1', 'row_superlative': '3', 'value_mentioned': 'yes', 'max_or_min': 'min', 'other_col': '5', 'subset': {'col': '5', 'criterion': 'equal', 'value': 'friendly match'}} | {'func': 'eq', 'args': [{'func': 'min', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'competition', 'friendly match'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; competition ; friendly match }', 'tointer': 'select the rows whose competition record fuzzily matches to friendly match .'}, 'date'... | eq { min { filter_eq { all_rows ; competition ; friendly match } ; date } ; 7 november 1997 } = true | select the rows whose competition record fuzzily matches to friendly match . the minimum date record of these rows is 7 november 1997 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'min_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'competition_5': 5, 'friendly match_6': 6, 'date_7': 7, '7 november 1997_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'min_1': 'min', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'competition_5': 'competition', 'friendly match_6': 'friendly match', 'date_7': 'date', '7 november 1997_8': '7 november 1997'} | {'eq_2': [3], 'result_3': [], 'min_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'competition_5': [0], 'friendly match_6': [0], 'date_7': [1], '7 november 1997_8': [2]} | ['date', 'venue', 'score', 'result', 'competition'] | [['16 january 1996', 'edison international field , anaheim , usa', '3 - 0', '3 - 0', 'concacaf gold cup'], ['20 april 1997', 'estadio mateo flores , guatemala city , guatemala', '1 - 0', '6 - 1', 'continental qualifier'], ['7 november 1997', 'estadio regional , antofagasta , chile', '1 - 3', '1 - 4', 'friendly match'],... |
united states house of representatives elections , 1964 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1964 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341865-45.html.csv | aggregation | the winners of congressional representative seats in the texas districts reported averaged 70.31 % of the vote in each district . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '70.31', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'candidates'], 'result': '70.31', 'ind': 0, 'tostr': 'avg { all_rows ; candidates }'}, '70.31'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; candidates } ; 70.31 } = true', 'tointer': 'the average of the candidates record of all rows... | round_eq { avg { all_rows ; candidates } ; 70.31 } = true | the average of the candidates record of all rows is 70.31 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'candidates_4': 4, '70.31_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'candidates_4': 'candidates', '70.31_5': '70.31'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'candidates_4': [0], '70.31_5': [1]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['texas 2', 'jack brooks', 'democratic', '1952', 're - elected', 'jack brooks ( d ) 62.7 % john greco ( r ) 37.3 %'], ['texas 3', 'lindley beckworth', 'democratic', '1956', 're - elected', 'lindley beckworth ( d ) 59.3 % james warren ( r ) 40.7 %'], ['texas 4', 'ray roberts', 'democratic', '1962', 're - elected', 'ray... |
1993 - 94 segunda división | https://en.wikipedia.org/wiki/1993%E2%80%9394_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12092001-2.html.csv | count | 20 clubs participated in the 1993 - 94 segunda división season games . | {'scope': 'all', 'criterion': 'all', 'value': 'n/a', 'result': '20', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_all', 'args': ['all_rows', 'club'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose club record is arbitrary .', 'tostr': 'filter_all { all_rows ; club }'}], 'result': '20', 'ind': 1, 'tostr': 'count { filter_all { all_rows ; club } }', 'to... | eq { count { filter_all { all_rows ; club } } ; 20 } = true | select the rows whose club record is arbitrary . the number of such rows is 20 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_all_0': 0, 'all_rows_4': 4, 'club_5': 5, '20_6': 6} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_all_0': 'filter_all', 'all_rows_4': 'all_rows', 'club_5': 'club', '20_6': '20'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_all_0': [1], 'all_rows_4': [0], 'club_5': [0], '20_6': [2]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'rcd español', '38', '52', '20', '12', '6', '59', '25', '+ 34'], ['2', 'real betis', '38', '51', '22', '7', '9', '66', '38', '+ 28'], ['3', 'sd compostela', '38', '49', '21', '7', '10', '56', '36', '+ 20'], ['4', 'cd toledo', '38', '47', '18', '11', '9', '50', '32', '+ 18'], ['5', 'rcd mallorca', '38', '47', '20... |
teo fabi | https://en.wikipedia.org/wiki/Teo_Fabi | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1218368-3.html.csv | aggregation | the average number of laps finished by teo fabi from 1980 to 1993 is around 200 . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '200', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'laps'], 'result': '200', 'ind': 0, 'tostr': 'avg { all_rows ; laps }'}, '200'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; laps } ; 200 } = true', 'tointer': 'the average of the laps record of all rows is 200 .'} | round_eq { avg { all_rows ; laps } ; 200 } = true | the average of the laps record of all rows is 200 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'laps_4': 4, '200_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'laps_4': 'laps', '200_5': '200'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'laps_4': [0], '200_5': [1]} | ['year', 'class', 'tyres', 'team', 'co - drivers', 'laps', 'pos', 'class pos'] | [['1980', 'gr5', 'p', 'scuderia lancia corse', 'hans heyer bernard darniche', '6', 'dnf', 'dnf'], ['1982', 'gr6', 'p', 'martini racing', 'michele alboreto rolf stommelen', '92', 'dnf', 'dnf'], ['1983', 'c', 'd', 'martini lancia', 'michele alboreto alessandro nannini', '27', 'dnf', 'dnf'], ['1991', 'c2', 'g', 'silk cut ... |
ross bagdasarian , jr | https://en.wikipedia.org/wiki/Ross_Bagdasarian%2C_Jr. | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1543453-1.html.csv | comparative | out of the alvin and the chipmunks movies that ross bagdasarian jr. worked on , " the chipmunk adventure " was released before " alvin and the chipmunks meet the wolfman " . | {'row_1': '1', 'row_2': '3', 'col': '1', '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', 'title', 'the chipmunk adventure'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose title record fuzzily matches to the chipmunk adventure .', 'tostr': 'filter_eq { all_rows ; title ; the chipmunk adventure... | less { hop { filter_eq { all_rows ; title ; the chipmunk adventure } ; year } ; hop { filter_eq { all_rows ; title ; alvin and the chipmunks meet the wolfman } ; year } } = true | select the rows whose title record fuzzily matches to the chipmunk adventure . take the year record of this row . select the rows whose title record fuzzily matches to alvin and the chipmunks meet the wolfman . take the year 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, 'title_7': 7, 'the chipmunk adventure_8': 8, 'year_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'title_11': 11, 'alvin and the chipmunks meet the wolfman_12': 12, 'year_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', 'title_7': 'title', 'the chipmunk adventure_8': 'the chipmunk adventure', 'year_9': 'year', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'title_11': 'tit... | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'title_7': [0], 'the chipmunk adventure_8': [0], 'year_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'title_11': [1], 'alvin and the chipmunks meet the wolfman_12': [1], 'year_13': [3]} | ['year', 'title', 'producer', 'actor', 'role'] | [['1987', 'the chipmunk adventure', 'yes', 'yes', "alvin seville simon seville david ' dave ' seville"], ['1999', 'alvin and the chipmunks meet frankenstein', 'yes', 'yes', "alvin seville simon seville david ' dave ' seville"], ['2000', 'alvin and the chipmunks meet the wolfman', 'yes', 'yes', "alvin seville simon sevi... |
1954 vfl season | https://en.wikipedia.org/wiki/1954_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10773616-18.html.csv | majority | all games of the 1954 vfl season was played on the 28th of august . | {'scope': 'all', 'col': '7', 'most_or_all': 'all', 'criterion': 'equal', 'value': '28 august 1954', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'date', '28 august 1954'], 'result': True, 'ind': 0, 'tointer': 'for the date records of all rows , all of them fuzzily match to 28 august 1954 .', 'tostr': 'all_eq { all_rows ; date ; 28 august 1954 } = true'} | all_eq { all_rows ; date ; 28 august 1954 } = true | for the date records of all rows , all of them fuzzily match to 28 august 1954 . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date_3': 3, '28 august 1954_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date_3': 'date', '28 august 1954_4': '28 august 1954'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'date_3': [0], '28 august 1954_4': [0]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['north melbourne', '19.15 ( 129 )', 'st kilda', '12.10 ( 82 )', 'arden street oval', '9500', '28 august 1954'], ['footscray', '17.15 ( 117 )', 'hawthorn', '5.4 ( 34 )', 'western oval', '22896', '28 august 1954'], ['south melbourne', '7.7 ( 49 )', 'melbourne', '14.17 ( 101 )', 'lake oval', '25000', '28 august 1954'], ... |
uk film council completion fund | https://en.wikipedia.org/wiki/UK_Film_Council_Completion_Fund | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12181447-7.html.csv | unique | traffic warden is the only film for the uk film council completion fund that was directed by donald rice . | {'scope': 'all', 'row': '10', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': 'donald rice', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'director ( s )', 'donald rice'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose director ( s ) record fuzzily matches to donald rice .', 'tostr': 'filter_eq { all_rows ; director ( s ) ; donald rice }'}], 're... | and { only { filter_eq { all_rows ; director ( s ) ; donald rice } } ; eq { hop { filter_eq { all_rows ; director ( s ) ; donald rice } ; film } ; traffic warden } } = true | select the rows whose director ( s ) record fuzzily matches to donald rice . there is only one such row in the table . the film record of this unqiue row is traffic warden . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'director (s)_7': 7, 'donald rice_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'film_9': 9, 'traffic warden_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'director (s)_7': 'director ( s )', 'donald rice_8': 'donald rice', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'film_9': 'film', 'traffic warden_10': 'traffic warden'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'director (s)_7': [0], 'donald rice_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'film_9': [2], 'traffic warden_10': [3]} | ['film', 'director ( s )', 'writer ( s )', 'recipient', 'date', 'award'] | [['mercy', 'candida scott knight', 'tina walker', 'maya vision international ltd', '3 / 3 / 04', '7800'], ['no deposit , no return', 'dallas campbell', 'dallas campbell , john edwards', 'rocliffe ltd', '3 / 3 / 04', '4360'], ['6.6.04', 'simon hook', 'simon hook , jayne kirkham', 'andrew wilson', '3 / 3 / 04', '1939'], ... |
1997 u.s. open ( golf ) | https://en.wikipedia.org/wiki/1997_U.S._Open_%28golf%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17162179-6.html.csv | superlative | at the 1997 u.s. open , the highest amount of money was won by ernie els . | {'scope': 'all', 'col_superlative': '6', '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', 'money'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; money }'}, 'place'], 'result': '1', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; money } ; place }'}, '1'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { a... | eq { hop { argmax { all_rows ; money } ; place } ; 1 } = true | select the row whose money record of all rows is maximum . the place record of this row is 1 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'money_5': 5, 'place_6': 6, '1_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'money_5': 'money', 'place_6': 'place', '1_7': '1'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'money_5': [0], 'place_6': [1], '1_7': [2]} | ['place', 'player', 'country', 'score', 'to par', 'money'] | [['1', 'ernie els', 'south africa', '71 + 67 + 69 + 69 = 276', '- 4', '465000'], ['2', 'colin montgomerie', 'scotland', '65 + 76 + 67 + 69 = 277', '- 3', '275000'], ['3', 'tom lehman', 'united states', '67 + 70 + 68 + 73 = 278', '- 2', '172828'], ['4', 'jeff maggert', 'united states', '73 + 66 + 68 + 74 = 281', '+ 1', ... |
canadian university field lacrosse association | https://en.wikipedia.org/wiki/Canadian_University_Field_Lacrosse_Association | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-18042409-1.html.csv | majority | the majority of players have " none " as their major league lacrosse association . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'none', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'major league lacrosse', 'none'], 'result': True, 'ind': 0, 'tointer': 'for the major league lacrosse records of all rows , most of them fuzzily match to none .', 'tostr': 'most_eq { all_rows ; major league lacrosse ; none } = true'} | most_eq { all_rows ; major league lacrosse ; none } = true | for the major league lacrosse records of all rows , most of them fuzzily match to none . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'major league lacrosse_3': 3, 'none_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'major league lacrosse_3': 'major league lacrosse', 'none_4': 'none'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'major league lacrosse_3': [0], 'none_4': [0]} | ['player', 'alma mater', 'national lacrosse league', 'major league lacrosse', 'international competition'] | [['colin doyle', 'wilfrid laurier university', 'ontario raiders / toronto rock , san jose stealth', 'toronto nationals', 'team canada'], ['steve hoar', 'university of toronto', 'toronto rock', 'toronto nationals', 'team canada'], ['creighton reid', 'university of toronto ( practice squad )', 'toronto rock , colorado ma... |
2007 - 08 minnesota wild season | https://en.wikipedia.org/wiki/2007%E2%80%9308_Minnesota_Wild_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11739153-3.html.csv | count | in the 2007 - 08 minnesota wild season , among the games where minnesota was a visitor , 5 of them drew more than 15,000 people . | {'scope': 'subset', 'criterion': 'greater_than', 'value': '15000', 'result': '5', 'col': '6', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'minnesota'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_greater', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'visitor', 'minnesota'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; visitor ; minnesota }', 'tointer': 'select the rows whose visitor record fuzzily matches to minnesota ... | eq { count { filter_greater { filter_eq { all_rows ; visitor ; minnesota } ; attendance ; 15000 } } ; 5 } = true | select the rows whose visitor record fuzzily matches to minnesota . among these rows , select the rows whose attendance record is greater than 15000 . the number of such rows is 5 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_greater_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'visitor_6': 6, 'minnesota_7': 7, 'attendance_8': 8, '15000_9': 9, '5_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_greater_1': 'filter_greater', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'visitor_6': 'visitor', 'minnesota_7': 'minnesota', 'attendance_8': 'attendance', '15000_9': '15000', '5_10': '5'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_greater_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'visitor_6': [0], 'minnesota_7': [0], 'attendance_8': [1], '15000_9': [1], '5_10': [3]} | ['date', 'visitor', 'score', 'home', 'decision', 'attendance', 'record'] | [['october 4', 'chicago', '0 - 1', 'minnesota', 'backstrom', '18568', '1 - 0 - 0'], ['october 6', 'columbus', '2 - 3', 'minnesota', 'backstrom', '18568', '2 - 0 - 0'], ['october 10', 'edmonton', '0 - 2', 'minnesota', 'backstrom', '18568', '3 - 0 - 0'], ['october 13', 'minnesota', '3 - 2', 'phoenix', 'backstrom', '12088... |
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 | ordinal | round 3 of the 2008 australian carrera cup championship was played at wakefield park . | {'scope': 'all', 'row': '3', 'col': '1', 'order': '3', 'col_other': '3', 'max_or_min': 'min_to_max', 'value_mentioned': 'yes', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'nth_min', 'args': ['all_rows', 'round', '3'], 'result': '3', 'ind': 0, 'tostr': 'nth_min { all_rows ; round ; 3 }', 'tointer': 'the 3rd minimum round record of all rows is 3 .'}, '3'], 'result': True, 'ind': 1, 'tostr': 'eq { nth_min { all_rows ; round ; 3 } ; ... | and { eq { nth_min { all_rows ; round ; 3 } ; 3 } ; eq { hop { nth_argmin { all_rows ; round ; 3 } ; circuit } ; wakefield park } } = true | the 3rd minimum round record of all rows is 3 . the circuit record of the row with 3rd minimum round record is wakefield park . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'nth_min_0': 0, 'all_rows_7': 7, 'round_8': 8, '3_9': 9, '3_10': 10, 'str_eq_4': 4, 'str_hop_3': 3, 'nth_argmin_2': 2, 'all_rows_11': 11, 'round_12': 12, '3_13': 13, 'circuit_14': 14, 'wakefield park_15': 15} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'nth_min_0': 'nth_min', 'all_rows_7': 'all_rows', 'round_8': 'round', '3_9': '3', '3_10': '3', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'nth_argmin_2': 'nth_argmin', 'all_rows_11': 'all_rows', 'round_12': 'round', '3_13': '3', 'circuit_14': 'circuit', 'wakefield p... | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'nth_min_0': [1], 'all_rows_7': [0], 'round_8': [0], '3_9': [0], '3_10': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'nth_argmin_2': [3], 'all_rows_11': [2], 'round_12': [2], '3_13': [2], 'circuit_14': [3], 'wakefield park_15': [4]} | ['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'... |
sheridan smith | https://en.wikipedia.org/wiki/Sheridan_Smith | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1644840-3.html.csv | comparative | sheridan smith won both the laurence olivier award and the theatregoers ' choice award for best actress in a musical in the year 2011 , for the same movie . | {'row_1': '1', 'row_2': '4', 'col': '3', 'col_other': '2', 'relation': 'equal', 'record_mentioned': 'yes', 'diff_result': None} | {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'award', 'laurence olivier award'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose award record fuzzily matches to laurence olivier award .', 'tostr': 'filter_eq { all_rows ; awa... | and { eq { hop { filter_eq { all_rows ; award ; laurence olivier award } ; category } ; hop { filter_eq { all_rows ; award ; theatregoers ' choice award } ; category } } ; and { eq { hop { filter_eq { all_rows ; award ; laurence olivier award } ; category } ; best actress in a musical } ; eq { hop { filter_eq { all_row... | select the rows whose award record fuzzily matches to laurence olivier award . take the category record of this row . select the rows whose award record fuzzily matches to theatregoers ' choice award . take the category record of this row . the first record fuzzily matches to the second record . the category record of ... | 13 | 9 | {'and_8': 8, 'result_9': 9, 'str_eq_4': 4, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_10': 10, 'award_11': 11, 'laurence olivier award_12': 12, 'category_13': 13, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_14': 14, 'award_15': 15, "theatregoers' choice award_16": 16, 'category_17': 17, 'and_7': 7, 'str_eq_5':... | {'and_8': 'and', 'result_9': 'true', 'str_eq_4': 'str_eq', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_10': 'all_rows', 'award_11': 'award', 'laurence olivier award_12': 'laurence olivier award', 'category_13': 'category', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_1... | {'and_8': [9], 'result_9': [], 'str_eq_4': [8], 'str_hop_2': [4, 5], 'filter_str_eq_0': [2], 'all_rows_10': [0], 'award_11': [0], 'laurence olivier award_12': [0], 'category_13': [2], 'str_hop_3': [4, 6], 'filter_str_eq_1': [3], 'all_rows_14': [1], 'award_15': [1], "theatregoers' choice award_16": [1], 'category_17': [... | ['year', 'award', 'category', 'nominated work', 'result'] | [['2009', 'laurence olivier award', 'best actress in a musical', 'little shop of horrors', 'nominated'], ['2010', 'evening standard award', 'best actress', 'legally blonde', 'nominated'], ['2011', 'laurence olivier award', 'best actress in a musical', 'legally blonde', 'won'], ['2011', "theatregoers ' choice award", 'b... |
anaprof 2004 | https://en.wikipedia.org/wiki/ANAPROF_2004 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18704095-8.html.csv | comparative | at anaprof 2004 tauro scored more goals that alianza . | {'row_1': '2', 'row_2': '6', 'col': '6', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', 'tauro'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team record fuzzily matches to tauro .', 'tostr': 'filter_eq { all_rows ; team ; tauro }'}, 'goals scored'], 'result': None, 'ind': 2, 't... | greater { hop { filter_eq { all_rows ; team ; tauro } ; goals scored } ; hop { filter_eq { all_rows ; team ; alianza } ; goals scored } } = true | select the rows whose team record fuzzily matches to tauro . take the goals scored record of this row . select the rows whose team record fuzzily matches to alianza . take the goals scored 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, 'team_7': 7, 'tauro_8': 8, 'goals scored_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'team_11': 11, 'alianza_12': 12, 'goals scored_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', 'team_7': 'team', 'tauro_8': 'tauro', 'goals scored_9': 'goals scored', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'team_11': 'team', 'alianza_12... | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'team_7': [0], 'tauro_8': [0], 'goals scored_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'team_11': [1], 'alianza_12': [1], 'goals scored_13': [3]} | ['place', 'team', 'played', 'draw', 'lost', 'goals scored', 'goals conceded', 'points'] | [['1', 'árabe unido', '36', '5', '5', '63', '30', '83'], ['2', 'tauro', '36', '6', '9', '61', '22', '73'], ['3', 'san francisco', '36', '7', '9', '70', '31', '67'], ['4', 'el chorrillo', '36', '10', '7', '58', '51', '67'], ['5', 'plaza amador', '35', '8', '9', '59', '33', '62'], ['6', 'alianza', '36', '6', '18', '38', ... |
1972 - 73 atlanta flames season | https://en.wikipedia.org/wiki/1972%E2%80%9373_Atlanta_Flames_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14038705-1.html.csv | count | two of the players drafted by the atlanta flames played for the regina pats previously . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'regina pats', 'result': '2', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'college / junior / club team', 'regina pats'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose college / junior / club team record fuzzily matches to regina pats .', 'tostr': 'filter_eq { all_rows ; college / ... | eq { count { filter_eq { all_rows ; college / junior / club team ; regina pats } } ; 2 } = true | select the rows whose college / junior / club team record fuzzily matches to regina pats . 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, 'college / junior / club team_5': 5, 'regina pats_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', 'college / junior / club team_5': 'college / junior / club team', 'regina pats_6': 'regina pats', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'college / junior / club team_5': [0], 'regina pats_6': [0], '2_7': [2]} | ['round', 'pick', 'player', 'nationality', 'college / junior / club team'] | [['1', '2', 'jacques richard', 'canada', 'quebec remparts ( qmjhl )'], ['2', '18', 'dwight bialowas', 'canada', 'regina pats ( wcjhl )'], ['3', '34', 'jean lemieux', 'canada', 'sherbrooke castors ( qmjhl )'], ['4', '50', 'don martineau', 'canada', 'new westminster royals ( wcjhl )'], ['5', '78', 'john martin', 'canada'... |
1998 pga tour | https://en.wikipedia.org/wiki/1998_PGA_Tour | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14611466-3.html.csv | majority | in the 1998 pga tour , for players from the united states , most of them participated in over 21 events . | {'scope': 'subset', 'col': '5', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '21', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'united states'}} | {'func': 'most_greater', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'united states'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; country ; united states }', 'tointer': 'select the rows whose country record fuzzily matches to united states .'}, 'events', '21'], 'result': True, 'in... | most_greater { filter_eq { all_rows ; country ; united states } ; events ; 21 } = true | select the rows whose country record fuzzily matches to united states . for the events records of these rows , most of them are greater than 21 . | 2 | 2 | {'most_greater_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'country_4': 4, 'united states_5': 5, 'events_6': 6, '21_7': 7} | {'most_greater_1': 'most_greater', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'country_4': 'country', 'united states_5': 'united states', 'events_6': 'events', '21_7': '21'} | {'most_greater_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'country_4': [0], 'united states_5': [0], 'events_6': [1], '21_7': [1]} | ['rank', 'player', 'country', 'earnings', 'events', 'wins'] | [['1', 'david duval', 'united states', '2591031', '23', '4'], ['2', 'vijay singh', 'fiji', '2238998', '26', '2'], ['3', 'jim furyk', 'united states', '2054334', '28', '1'], ['4', 'tiger woods', 'united states', '1841117', '20', '1'], ['5', 'hal sutton', 'united states', '1838740', '30', '2']] |
sat subject tests | https://en.wikipedia.org/wiki/SAT_subject_tests | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1637315-1.html.csv | superlative | the test with the highest mean score in the subject of mathematics is mathematics level 2 . | {'scope': 'subset', 'col_superlative': '3', 'row_superlative': '5', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1,2', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'mathematics'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'subject', 'mathematics'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; subject ; mathematics }', 'tointer': 'select the rows whose subject record fuzzily matches to mathemat... | eq { hop { argmax { filter_eq { all_rows ; subject ; mathematics } ; mean score } ; test } ; sat subject test in mathematics level 2 } = true | select the rows whose subject record fuzzily matches to mathematics . select the row whose mean score record of these rows is maximum . the test record of this row is sat subject test in mathematics level 2 . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'argmax_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'subject_6': 6, 'mathematics_7': 7, 'mean score_8': 8, 'test_9': 9, 'sat subject test in mathematics level 2_10': 10} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'argmax_1': 'argmax', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'subject_6': 'subject', 'mathematics_7': 'mathematics', 'mean score_8': 'mean score', 'test_9': 'test', 'sat subject test in mathematics level 2_10': 'sat subject test i... | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'argmax_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'subject_6': [0], 'mathematics_7': [0], 'mean score_8': [1], 'test_9': [2], 'sat subject test in mathematics level 2_10': [3]} | ['test', 'subject', 'mean score', 'standard deviation', 'number of students'] | [['sat subject test in literature', 'literature', '576', '111', '120004'], ['sat subject test in united states history', 'us history', '608', '113', '126681'], ['sat subject test in world history', 'world history', '607', '118', '19688'], ['sat subject test in mathematics level 1', 'mathematics', '610', '100', '82827']... |
2002 senior pga tour | https://en.wikipedia.org/wiki/2002_Senior_PGA_Tour | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11603116-4.html.csv | majority | all of the players in the 2002 senior pga tour were from the united states . | {'scope': 'all', 'col': '3', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'united states', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'country', 'united states'], 'result': True, 'ind': 0, 'tointer': 'for the country records of all rows , all of them fuzzily match to united states .', 'tostr': 'all_eq { all_rows ; country ; united states } = true'} | all_eq { all_rows ; country ; united states } = true | for the country records of all rows , all of them fuzzily match to united states . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'country_3': 3, 'united states_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'country_3': 'country', 'united states_4': 'united states'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'country_3': [0], 'united states_4': [0]} | ['rank', 'player', 'country', 'earnings', 'wins'] | [['1', 'hale irwin', 'united states', '16950178', '36'], ['2', 'gil morgan', 'united states', '11092593', '21'], ['3', 'jim colbert', 'united states', '10840374', '20'], ['4', 'dave stockton', 'united states', '9735814', '14'], ['5', 'lee trevino', 'united states', '9616404', '29']] |
fibt world championships 2008 | https://en.wikipedia.org/wiki/FIBT_World_Championships_2008 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13566976-7.html.csv | aggregation | a total of 18 medals were awarded in the 2008 fibt world championships . | {'scope': 'all', 'col': '6', 'type': 'sum', 'result': '18', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'total'], 'result': '18', 'ind': 0, 'tostr': 'sum { all_rows ; total }'}, '18'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; total } ; 18 } = true', 'tointer': 'the sum of the total record of all rows is 18 .'} | round_eq { sum { all_rows ; total } ; 18 } = true | the sum of the total record of all rows is 18 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'total_4': 4, '18_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'total_4': 'total', '18_5': '18'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'total_4': [0], '18_5': [1]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'germany', '5', '2', '4', '11'], ['2', 'canada', '0', '2', '0', '2'], ['3', 'united states', '0', '1', '1', '2'], ['4', 'russia', '0', '1', '1', '2'], ['5', 'united kingdom', '1', '0', '0', '1']] |
northwestern conference ( ihsaa ) | https://en.wikipedia.org/wiki/Northwestern_Conference_%28IHSAA%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18941359-2.html.csv | unique | in the northwestern conference , when the previous conference was northern indiana , the only time the mascot was roughriders was when the school was east chicago roosevelt . | {'scope': 'subset', 'row': '1', 'col': '3', 'col_other': '1', 'criterion': 'equal', 'value': 'roughriders', 'subset': {'col': '6', 'criterion': 'equal', 'value': 'northern indiana'}} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'previous conference', 'northern indiana'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; previous conference ; northern indiana }', 'tointer': 'select the rows whose previou... | and { only { filter_eq { filter_eq { all_rows ; previous conference ; northern indiana } ; mascot ; roughriders } } ; eq { hop { filter_eq { filter_eq { all_rows ; previous conference ; northern indiana } ; mascot ; roughriders } ; school } ; east chicago roosevelt } } = true | select the rows whose previous conference record fuzzily matches to northern indiana . among these rows , select the rows whose mascot record fuzzily matches to roughriders . there is only one such row in the table . the school record of this unqiue row is east chicago roosevelt . | 8 | 6 | {'and_5': 5, 'result_6': 6, 'only_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_7': 7, 'previous conference_8': 8, 'northern indiana_9': 9, 'mascot_10': 10, 'roughriders_11': 11, 'str_eq_4': 4, 'str_hop_3': 3, 'school_12': 12, 'east chicago roosevelt_13': 13} | {'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'previous conference_8': 'previous conference', 'northern indiana_9': 'northern indiana', 'mascot_10': 'mascot', 'roughriders_11': 'roughriders', 'str_eq_4': 'str_eq',... | {'and_5': [6], 'result_6': [], 'only_2': [5], 'filter_str_eq_1': [2, 3], 'filter_str_eq_0': [1], 'all_rows_7': [0], 'previous conference_8': [0], 'northern indiana_9': [0], 'mascot_10': [1], 'roughriders_11': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'school_12': [3], 'east chicago roosevelt_13': [4]} | ['school', 'city', 'mascot', 'county', 'year joined', 'previous conference', 'year left', 'conference joined'] | [['east chicago roosevelt', 'east chicago', 'roughriders', '45 lake', '1963', 'northern indiana', '1968', 'indiana lake shore'], ['east chicago washington', 'east chicago', 'senators', '45 lake', '1963', 'northern indiana', '1968', 'indiana lake shore'], ['gary emerson', 'gary', 'tornado', '45 lake', '1963', 'northern ... |
1943 vfl season | https://en.wikipedia.org/wiki/1943_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10808346-8.html.csv | superlative | during the 1943 vfl season , essendon had the highest scoring game . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '5', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '3', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'away team score'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; away team score }'}, 'away team'], 'result': 'essendon', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; away team score } ; away team }'}, 'essendon... | eq { hop { argmax { all_rows ; away team score } ; away team } ; essendon } = true | select the row whose away team score record of all rows is maximum . the away team record of this row is essendon . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'away team score_5': 5, 'away team_6': 6, 'essendon_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'away team score_5': 'away team score', 'away team_6': 'away team', 'essendon_7': 'essendon'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'away team score_5': [0], 'away team_6': [1], 'essendon_7': [2]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['footscray', '10.11 ( 71 )', 'south melbourne', '6.14 ( 50 )', 'western oval', '7500', '26 june 1943'], ['collingwood', '10.21 ( 81 )', 'melbourne', '13.9 ( 87 )', 'victoria park', '5000', '26 june 1943'], ['carlton', '15.16 ( 106 )', 'fitzroy', '9.13 ( 67 )', 'princes park', '12000', '26 june 1943'], ['richmond', '1... |
list of royal pains episodes | https://en.wikipedia.org/wiki/List_of_Royal_Pains_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-23117208-5.html.csv | superlative | the episode entitled about face had the most viewers in that season of royal pains . | {'scope': 'all', 'col_superlative': '8', 'row_superlative': '6', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '3', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'viewers ( millions )'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; viewers ( millions ) }'}, 'title'], 'result': 'about face', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; viewers ( millions ) } ; title }'}, ... | eq { hop { argmax { all_rows ; viewers ( millions ) } ; title } ; about face } = true | select the row whose viewers ( millions ) record of all rows is maximum . the title record of this row is about face . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'viewers (millions)_5': 5, 'title_6': 6, 'about face_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'viewers (millions)_5': 'viewers ( millions )', 'title_6': 'title', 'about face_7': 'about face'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'viewers (millions)_5': [0], 'title_6': [1], 'about face_7': [2]} | ['no in series', 'no in season', 'title', 'directed by', 'written by', 'original air date', 'prod code', 'viewers ( millions )'] | [['47', '1', 'after the fireworks', 'emile levisetti', 'andrew lenchewski', 'june 6 , 2012', 'rp401', '3.95'], ['48', '2', 'imperfect storm', 'emile levisetti', 'michael rauch', 'june 13 , 2012', 'rp402', '4.14'], ['49', '3', 'a guesthouse divided', 'jay chandrasekhar', 'constance m burge & jack bernstein', 'june 20 , ... |
1964 american football league draft | https://en.wikipedia.org/wiki/1964_American_Football_League_Draft | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18652117-1.html.csv | unique | tony lorick was the only player picked in the 1964 american football league draft from arizona state college . | {'scope': 'all', 'row': '7', 'col': '5', 'col_other': '3', 'criterion': 'equal', 'value': 'arizona state', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'college', 'arizona state'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose college record fuzzily matches to arizona state .', 'tostr': 'filter_eq { all_rows ; college ; arizona state }'}], 'result': True, 'i... | and { only { filter_eq { all_rows ; college ; arizona state } } ; eq { hop { filter_eq { all_rows ; college ; arizona state } ; player } ; tony lorick } } = true | select the rows whose college record fuzzily matches to arizona state . there is only one such row in the table . the player record of this unqiue row is tony lorick . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'college_7': 7, 'arizona state_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'tony lorick_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'college_7': 'college', 'arizona state_8': 'arizona state', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'tony lorick_10': 'tony lorick'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'college_7': [0], 'arizona state_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'tony lorick_10': [3]} | ['pick', 'team', 'player', 'position', 'college'] | [['1', 'boston', 'jack concannon', 'qb', 'boston college'], ['2', 'kansas city', 'pete beathard', 'qb', 'usc'], ['3', 'new york', 'matt snell', 'rb', 'ohio state'], ['4', 'denver', 'bob brown', 'ot', 'nebraska'], ['5', 'buffalo', 'carl eller', 'de', 'minnesota'], ['6', 'houston', 'scott appleton', 'dt', 'texas'], ['7',... |
blue ridge hockey conference | https://en.wikipedia.org/wiki/Blue_Ridge_Hockey_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16404837-4.html.csv | aggregation | 1881 is the average founding year for all the colleges in the blue ridge hockey conference . | {'scope': 'all', 'col': '3', 'type': 'average', 'result': '1881', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'founded'], 'result': '1881', 'ind': 0, 'tostr': 'avg { all_rows ; founded }'}, '1881'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; founded } ; 1881 } = true', 'tointer': 'the average of the founded record of all rows is 1881 .'} | round_eq { avg { all_rows ; founded } ; 1881 } = true | the average of the founded record of all rows is 1881 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'founded_4': 4, '1881_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'founded_4': 'founded', '1881_5': '1881'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'founded_4': [0], '1881_5': [1]} | ['school', 'location', 'founded', 'affiliation', 'nickname'] | [['james madison university', 'harrisonburg , va', '1908', 'public', 'dukes'], ['old dominion university', 'norfolk , va', '1930', 'public', 'monarchs'], ['radford university', 'radford , va', '1910', 'public', 'highlanders'], ['university of virginia', 'charlottesville , va', '1819', 'public flagship', 'cavaliers'], [... |
2008 indiana fever season | https://en.wikipedia.org/wiki/2008_Indiana_Fever_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-17104539-9.html.csv | superlative | theconseco fieldhouse was the first location used by indiana fever in the 2008 season . | {'scope': 'all', 'col_superlative': '2', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '8', '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 }'}, 'location / attendance'], 'result': 'conseco fieldhouse 8214', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; date } ; location / attendance }'}, 'co... | eq { hop { argmin { all_rows ; date } ; location / attendance } ; conseco fieldhouse 8214 } = true | select the row whose date record of all rows is minimum . the location / attendance record of this row is conseco fieldhouse 8214 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'date_5': 5, 'location / attendance_6': 6, 'conseco fieldhouse 8214_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', 'location / attendance_6': 'location / attendance', 'conseco fieldhouse 8214_7': 'conseco fieldhouse 8214'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'date_5': [0], 'location / attendance_6': [1], 'conseco fieldhouse 8214_7': [2]} | ['game', 'date', 'opponent', 'score', 'high points', 'high rebounds', 'high assists', 'location / attendance', 'record'] | [['6', 'june 7', 'houston', 'w 84 - 75', 'douglas ( 20 )', 'hoffman ( 10 )', 'douglas , hoffman ( 4 )', 'conseco fieldhouse 8214', '4 - 2'], ['7', 'june 11', 'san antonio', 'l 64 - 53', 'douglas , white ( 13 )', 'hoffman ( 9 )', 'douglas ( 4 )', 'at & t center 6262', '4 - 3'], ['8', 'june 13', 'atlanta', 'w 76 - 67', '... |
1981 kansas city chiefs season | https://en.wikipedia.org/wiki/1981_Kansas_City_Chiefs_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12536490-1.html.csv | unique | bob gagliano was the only quarterback that kansas city chiefs drafted in the 1981 season . | {'scope': 'all', 'row': '14', 'col': '4', 'col_other': '3', 'criterion': 'equal', 'value': 'quarterback', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'position', 'quarterback'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose position record fuzzily matches to quarterback .', 'tostr': 'filter_eq { all_rows ; position ; quarterback }'}], 'result': True, 'ind'... | and { only { filter_eq { all_rows ; position ; quarterback } } ; eq { hop { filter_eq { all_rows ; position ; quarterback } ; name } ; bob gagliano } } = true | select the rows whose position record fuzzily matches to quarterback . there is only one such row in the table . the name record of this unqiue row is bob gagliano . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'position_7': 7, 'quarterback_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'bob gagliano_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'position_7': 'position', 'quarterback_8': 'quarterback', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'bob gagliano_10': 'bob gagliano'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'position_7': [0], 'quarterback_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'bob gagliano_10': [3]} | ['round', 'pick', 'name', 'position', 'college'] | [['1', '14', 'willie scott', 'tight end', 'south carolina'], ['2', '41', 'joe delaney', 'running back', 'northwestern state'], ['3', '70', 'marvin harvey', 'tight end', 'southern mississippi'], ['3', '75', 'roger taylor', 'tackle', 'oklahoma state'], ['3', '78', 'lloyd burruss', 'defensive back', 'maryland'], ['4', '97... |
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 | majority | most of the players in the 2001 masters tournament were from 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', 'country', 'united states'], 'result': True, 'ind': 0, 'tointer': 'for the country records of all rows , most of them fuzzily match to united states .', 'tostr': 'most_eq { all_rows ; country ; united states } = true'} | most_eq { all_rows ; country ; united states } = true | for the country 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, 'country_3': 3, 'united states_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'country_3': 'country', 'united states_4': 'united states'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'country_3': [0], 'united states_4': [0]} | ['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'... |
j. l. van den heuvel orgelbouw | https://en.wikipedia.org/wiki/J._L._van_den_Heuvel_Orgelbouw | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11898040-1.html.csv | ordinal | the j. l. van den heuvel orgelbouw organ in the copenhagen concert hall is the second largest in size . | {'row': '13', 'col': '5', 'order': '2', 'col_other': '4', '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', 'size', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; size ; 2 }'}, 'building'], 'result': 'copenhagen concert hall', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; size ; 2 } ; building }'}, 'cop... | eq { hop { nth_argmax { all_rows ; size ; 2 } ; building } ; copenhagen concert hall } = true | select the row whose size record of all rows is 2nd maximum . the building record of this row is copenhagen concert hall . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'size_5': 5, '2_6': 6, 'building_7': 7, 'copenhagen concert hall_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', 'size_5': 'size', '2_6': '2', 'building_7': 'building', 'copenhagen concert hall_8': 'copenhagen concert hall'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'size_5': [0], '2_6': [0], 'building_7': [1], 'copenhagen concert hall_8': [2]} | ['date', 'country', 'place', 'building', 'size'] | [['1970', 'nl', 'ridderkerk', 'singelkerk', 'iiip / 32'], ['1979', 'nl', 'katwijk aan zee', 'nieuwe kerk', 'ivp / 80'], ['1989', 'fr', 'paris', 'église saint - eustache', 'vp / 101'], ['1992', 'ch', 'geneva', 'victoria hall', 'ivp / 71'], ['1993', 'gb', 'london', "royal academy of music , duke 's hall", 'iip / 24'], ['... |
hadise ( album ) | https://en.wikipedia.org/wiki/Hadise_%28album%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16431493-2.html.csv | ordinal | " my man and the devil on his shoulder " is the longest track on the album hadise . | {'row': '4', 'col': '5', 'order': '1', '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', 'length', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; length ; 1 }'}, 'title'], 'result': 'my man and the devil on his shoulder', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; length ; 1 } ; ti... | eq { hop { nth_argmax { all_rows ; length ; 1 } ; title } ; my man and the devil on his shoulder } = true | select the row whose length record of all rows is 1st maximum . the title record of this row is my man and the devil on his shoulder . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'length_5': 5, '1_6': 6, 'title_7': 7, 'my man and the devil on his shoulder_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', 'length_5': 'length', '1_6': '1', 'title_7': 'title', 'my man and the devil on his shoulder_8': 'my man and the devil on his shoulder'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'length_5': [0], '1_6': [0], 'title_7': [1], 'my man and the devil on his shoulder_8': [2]} | ['track', 'title', 'songwriter ( s )', 'producer ( s )', 'length'] | [['1', 'intro', 'hadise açıkgöz', 'yves jongen', '0:52'], ['2', 'deli oğlan', 'sezen aksu', 'hadise açıkgöz , yves jongen', '3:12'], ['3', 'aşkkolik', 'deniz erten', 'özgür buldum', '4:08'], ['4', 'my man and the devil on his shoulder', 'hadise açıkgöz , yves gallard', 'hadise açıkgöz , yves gallard', '4:35'], ['5', 'm... |
1968 vfl season | https://en.wikipedia.org/wiki/1968_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10808933-18.html.csv | aggregation | crowds totaling 139,789 attended games during the 1968 vfl season . | {'scope': 'all', 'col': '6', 'type': 'sum', 'result': '139,789', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'crowd'], 'result': '139,789', 'ind': 0, 'tostr': 'sum { all_rows ; crowd }'}, '139,789'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; crowd } ; 139,789 } = true', 'tointer': 'the sum of the crowd record of all rows is 139,789 .'} | round_eq { sum { all_rows ; crowd } ; 139,789 } = true | the sum of the crowd record of all rows is 139,789 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'crowd_4': 4, '139,789_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'crowd_4': 'crowd', '139,789_5': '139,789'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'crowd_4': [0], '139,789_5': [1]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['hawthorn', '14.13 ( 97 )', 'melbourne', '8.11 ( 59 )', 'glenferrie oval', '14359', '17 august 1968'], ['footscray', '6.8 ( 44 )', 'st kilda', '16.13 ( 109 )', 'western oval', '15211', '17 august 1968'], ['fitzroy', '10.12 ( 72 )', 'geelong', '14.10 ( 94 )', 'princes park', '9782', '17 august 1968'], ['south melbourn... |
2008 indiana fever season | https://en.wikipedia.org/wiki/2008_Indiana_Fever_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17104539-10.html.csv | ordinal | the indiana fever 's game against new york liberty outdoor classic recorded their highest attendance of the 2008 season . | {'row': '7', 'col': '8', 'order': '1', 'col_other': '3', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'location / attendance', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; location / attendance ; 1 }'}, 'opponent'], 'result': 'new york liberty outdoor classic', 'ind': 1, 'tostr': 'hop { nth_argmax {... | eq { hop { nth_argmax { all_rows ; location / attendance ; 1 } ; opponent } ; new york liberty outdoor classic } = true | select the row whose location / attendance record of all rows is 1st maximum . the opponent record of this row is new york liberty outdoor classic . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'location / attendance_5': 5, '1_6': 6, 'opponent_7': 7, 'new york liberty outdoor classic_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', 'location / attendance_5': 'location / attendance', '1_6': '1', 'opponent_7': 'opponent', 'new york liberty outdoor classic_8': 'new york liberty outdoor classic'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'location / attendance_5': [0], '1_6': [0], 'opponent_7': [1], 'new york liberty outdoor classic_8': [2]} | ['game', 'date', 'opponent', 'score', 'high points', 'high rebounds', 'high assists', 'location / attendance', 'record'] | [['16', 'july 2', 'chicago', 'w 74 - 67', 'catchings ( 18 )', 'sutton - brown ( 12 )', 'catchings , douglas ( 3 )', 'conseco fieldhouse 6196', '8 - 8'], ['17', 'july 5', 'connecticut', 'w 81 - 74', 'douglas , sutton - brown ( 18 )', 'sutton - brown ( 9 )', 'douglas ( 5 )', 'conseco fieldhouse 6329', '9 - 8'], ['18', 'j... |
list of the tudors episodes | https://en.wikipedia.org/wiki/List_of_The_Tudors_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-10413597-4.html.csv | majority | over half of the episodes in the third season of the tv series the tudors were directed by ciaran donnelly . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'ciaran donnelly', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'directed by', 'ciaran donnelly'], 'result': True, 'ind': 0, 'tointer': 'for the directed by records of all rows , most of them fuzzily match to ciaran donnelly .', 'tostr': 'most_eq { all_rows ; directed by ; ciaran donnelly } = true'} | most_eq { all_rows ; directed by ; ciaran donnelly } = true | for the directed by records of all rows , most of them fuzzily match to ciaran donnelly . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'directed by_3': 3, 'ciaran donnelly_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'directed by_3': 'directed by', 'ciaran donnelly_4': 'ciaran donnelly'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'directed by_3': [0], 'ciaran donnelly_4': [0]} | ['no in series', 'no in season', 'title', 'setting', 'directed by', 'written by', 'original air date'] | [['21', '1', 'civil unrest', '30th may 1536', 'ciaran donnelly', 'michael hirst', 'april 5 , 2009'], ['22', '2', 'the northern uprising', 'winter 1536', 'ciaran donnelly', 'michael hirst', 'april 12 , 2009'], ['23', '3', 'dissension and punishment', '1536 - 1537', 'ciaran donnelly', 'michael hirst', 'april 19 , 2009'],... |
family guy ( season 7 ) | https://en.wikipedia.org/wiki/Family_Guy_%28season_7%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-22261877-1.html.csv | majority | most of the family guy episodes during season seven recieved over 7 million views . | {'scope': 'all', 'col': '8', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '7', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'us viewers ( million )', '7'], 'result': True, 'ind': 0, 'tointer': 'for the us viewers ( million ) records of all rows , most of them are greater than 7 .', 'tostr': 'most_greater { all_rows ; us viewers ( million ) ; 7 } = true'} | most_greater { all_rows ; us viewers ( million ) ; 7 } = true | for the us viewers ( million ) records of all rows , most of them are greater than 7 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'us viewers (million)_3': 3, '7_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'us viewers (million)_3': 'us viewers ( million )', '7_4': '7'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'us viewers (million)_3': [0], '7_4': [0]} | ['no in series', 'no in season', 'title', 'directed by', 'written by', 'original air date', 'production code', 'us viewers ( million )'] | [['111', '1', 'love , blactually', 'cyndi tang', 'mike henry', 'september 28 , 2008', '6acx03', '9.20'], ['112', '2', 'i dream of jesus', 'mike kim', 'brian scully', 'october 5 , 2008', '6acx05', '8.42'], ['113', '3', 'road to germany', 'greg colton', 'patrick meighan', 'october 19 , 2008', '6acx08', '9.07'], ['114', '... |
1976 - 77 segunda división | https://en.wikipedia.org/wiki/1976%E2%80%9377_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12239755-2.html.csv | ordinal | the team in the 1976 - 77 segunda división with the second most points was cadiz cf. | {'row': '2', 'col': '4', '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', 'points', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; points ; 2 }'}, 'club'], 'result': 'cádiz cf', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; points ; 2 } ; club }'}, 'cádiz cf'], 'result'... | eq { hop { nth_argmax { all_rows ; points ; 2 } ; club } ; cádiz cf } = true | select the row whose points record of all rows is 2nd maximum . the club record of this row is cádiz cf . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'points_5': 5, '2_6': 6, 'club_7': 7, 'cádiz cf_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', 'points_5': 'points', '2_6': '2', 'club_7': 'club', 'cádiz cf_8': 'cádiz cf'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'points_5': [0], '2_6': [0], 'club_7': [1], 'cádiz cf_8': [2]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'sporting de gijón', '38', '47 + 9', '18', '11', '9', '62', '35', '+ 27'], ['2', 'cádiz cf', '38', '46 + 8', '17', '12', '9', '60', '42', '+ 18'], ['3', 'rayo vallecano', '38', '45 + 7', '17', '11', '10', '46', '34', '+ 12'], ['4', 'real jaén', '38', '43 + 5', '15', '13', '10', '42', '32', '+ 10'], ['5', 'real o... |
jakob hlasek | https://en.wikipedia.org/wiki/Jakob_Hlasek | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1727962-1.html.csv | count | jakob hlasek played in a total of three tennis championship finals on clay surfaces . | {'scope': 'all', 'criterion': 'equal', 'value': 'clay', 'result': '3', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'surface', 'clay'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose surface record fuzzily matches to clay .', 'tostr': 'filter_eq { all_rows ; surface ; clay }'}], 'result': '3', 'ind': 1, 'tostr': 'count { fi... | eq { count { filter_eq { all_rows ; surface ; clay } } ; 3 } = true | select the rows whose surface record fuzzily matches to clay . the number of such rows is 3 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'surface_5': 5, 'clay_6': 6, '3_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'surface_5': 'surface', 'clay_6': 'clay', '3_7': '3'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'surface_5': [0], 'clay_6': [0], '3_7': [2]} | ['outcome', 'date', 'championship', 'surface', 'opponent', 'score'] | [['runner - up', '25 march 1985', 'rotterdam , netherlands', 'carpet', 'miloslav mečíř', '1 - 6 , 2 - 6'], ['runner - up', '4 august 1986', 'hilversum , netherlands', 'clay', 'thomas muster', '1 - 6 , 3 - 6 , 3 - 6'], ['runner - up', '11 july 1988', 'gstaad , switzerland', 'clay', 'darren cahill', '3 - 6 , 4 - 6 , 6 - ... |
within these walls | https://en.wikipedia.org/wiki/Within_These_Walls | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2582519-6.html.csv | ordinal | for within these walls , the 2nd to last episode to air was titled " nemesis . " . | {'row': '12', 'col': '6', 'order': '2', 'col_other': '2', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'original airdate', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; original airdate ; 2 }'}, 'series'], 'result': '12', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; original airdate ; 2 } ; series }'... | eq { hop { nth_argmax { all_rows ; original airdate ; 2 } ; series } ; 12 } = true | select the row whose original airdate record of all rows is 2nd maximum . the series record of this row is 12 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'num_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'original airdate_5': 5, '2_6': 6, 'series_7': 7, '12_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'num_hop_1': 'num_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'original airdate_5': 'original airdate', '2_6': '2', 'series_7': 'series', '12_8': '12'} | {'eq_2': [3], 'result_3': [], 'num_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'original airdate_5': [0], '2_6': [0], 'series_7': [1], '12_8': [2]} | ['total', 'series', 'title', 'director', 'writer ( s )', 'original airdate'] | [['60', '1', 'mixer', 'christopher hodson', 'david butler', '21 january 1978'], ['61', '2', 'arrivals , departures', 'paul annett', 'david butler', '28 january 1978'], ['62', '3', 'raft', 'christphoer hodson', 'pj hammond', '4 february 1978'], ['63', '4', 'public opinion', 'marek kanievska', 'mona bruce and robert jame... |
1970 isle of man tt | https://en.wikipedia.org/wiki/1970_Isle_of_Man_TT | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10301911-2.html.csv | aggregation | the average finishing time of the top 7 drivers in the 1970 isle of man tt was about 2:08.00.0 . | {'scope': 'all', 'col': '5', 'type': 'average', 'result': '2:08.00.0', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'time'], 'result': '2:08.00.0', 'ind': 0, 'tostr': 'avg { all_rows ; time }'}, '2:08.00.0'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; time } ; 2:08.00.0 } = true', 'tointer': 'the average of the time record of all rows is 2:08.00.... | round_eq { avg { all_rows ; time } ; 2:08.00.0 } = true | the average of the time record of all rows is 2:08.00.0 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'time_4': 4, '2:08.00.0_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'time_4': 'time', '2:08.00.0_5': '2:08.00.0'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'time_4': [0], '2:08.00.0_5': [1]} | ['rank', 'rider', 'team', 'speed', 'time'] | [['1', 'frank whiteway', 'suzuki', '89.94 mph', '2:05.52.0'], ['2', 'gordon pantall', 'triumph', '88.90 mph', '2:07.20.0'], ['3', 'ray knight', 'triumph', '88.89 mph', '2:07.20.4'], ['4', 'rbaylie', 'triumph', '87.58 mph', '2:09.15.0'], ['5', 'graham penny', 'triumph', '86.70 mph', '2:10.34.4'], ['6', 'jwade', 'suzuki'... |
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