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list of are you afraid of the dark ? episodes | https://en.wikipedia.org/wiki/List_of_Are_You_Afraid_of_the_Dark%3F_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-10470082-3.html.csv | unique | the tale of the frozen ghost is the only episode of the first 12 episodes of the 2nd . season of are you afraid of the dark ? that 's written by naomi janzen . | {'scope': 'all', 'row': '7', 'col': '5', 'col_other': '3', 'criterion': 'equal', 'value': 'naomi janzen', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'writer', 'naomi janzen'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose writer record fuzzily matches to naomi janzen .', 'tostr': 'filter_eq { all_rows ; writer ; naomi janzen }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; writer ; naomi janzen } }', 'tointer': 'select the rows whose writer record fuzzily matches to naomi janzen . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'writer', 'naomi janzen'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose writer record fuzzily matches to naomi janzen .', 'tostr': 'filter_eq { all_rows ; writer ; naomi janzen }'}, 'title'], 'result': 'the tale of the frozen ghost', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; writer ; naomi janzen } ; title }'}, 'the tale of the frozen ghost'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; writer ; naomi janzen } ; title } ; the tale of the frozen ghost }', 'tointer': 'the title record of this unqiue row is the tale of the frozen ghost .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; writer ; naomi janzen } } ; eq { hop { filter_eq { all_rows ; writer ; naomi janzen } ; title } ; the tale of the frozen ghost } } = true', 'tointer': 'select the rows whose writer record fuzzily matches to naomi janzen . there is only one such row in the table . the title record of this unqiue row is the tale of the frozen ghost .'} | and { only { filter_eq { all_rows ; writer ; naomi janzen } } ; eq { hop { filter_eq { all_rows ; writer ; naomi janzen } ; title } ; the tale of the frozen ghost } } = true | select the rows whose writer record fuzzily matches to naomi janzen . there is only one such row in the table . the title record of this unqiue row is the tale of the frozen ghost . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'writer_7': 7, 'naomi janzen_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'title_9': 9, 'the tale of the frozen ghost_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'writer_7': 'writer', 'naomi janzen_8': 'naomi janzen', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'title_9': 'title', 'the tale of the frozen ghost_10': 'the tale of the frozen ghost'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'writer_7': [0], 'naomi janzen_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'title_9': [2], 'the tale of the frozen ghost_10': [3]} | ['no', '-', 'title', 'director', 'writer', 'us air date', 'storyteller', 'villains'] | [['14', '1', 'the tale of the final wish', 'd j machale', 'chloe brown', 'june 19 , 1993', 'kristen', 'the sandman'], ['15', '2', 'the tale of the midnight madness', 'd j machale', 'chloe brown', 'june 26 , 1993', 'frank', 'nosferatu and dr vink'], ['16', '3', 'the tale of locker 22', 'david winning', 'chloe brown', 'july 3 , 1993', 'kristen', 'none'], ['17', '4', 'the tale of the thirteenth floor', 'michael keusch', 'anne appelton', 'july 10 , 1993', 'betty ann', 'leonid , olga , and raymond'], ['19', '6', 'the tale of the dark dragon', 'd j machale', 'allison lea bingeman', 'july 24 , 1993', "david ( for gary 's birthday , borrowing sardo )", 'the dark dragon potion'], ['20', '8', 'the tale of the whispering walls', 'd j machale', 'allison lea bingeman', 'july 31 , 1993', 'betty ann', 'master raymond'], ['21', '7', 'the tale of the frozen ghost', 'ron oliver', 'naomi janzen', 'august 14 , 1993', 'kristen', 'none'], ['22', '9', 'the tale of the full moon', 'ron oliver', 'ron oliver', 'august 21 , 1993', 'frank', 'gordon , the werewolf'], ['23', '10', 'the tale of the shiny red bicycle', 'david winning', 'cassandra schafhausen', 'august 28 , 1993', 'david', 'none'], ['24', '11', "the tale of the magician 's assistant", 'ron oliver', 'cassandra schafhausen', 'september 11 , 1993', 'gary', 'nazrak'], ['25', '12', 'the tale of the hatching', 'd j machale', 'chloe brown', 'september 25 , 1993', 'david', 'mr and mrs taylor']] |
maura viceconte | https://en.wikipedia.org/wiki/Maura_Viceconte | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15671631-1.html.csv | ordinal | maura viceconte 's second lowest marathon finish time was in the prague marathon . | {'row': '9', 'col': '6', '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', 'notes', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmin { all_rows ; notes ; 2 }'}, 'competition'], 'result': 'prague marathon', 'ind': 1, 'tostr': 'hop { nth_argmin { all_rows ; notes ; 2 } ; competition }'}, 'prague marathon'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmin { all_rows ; notes ; 2 } ; competition } ; prague marathon } = true', 'tointer': 'select the row whose notes record of all rows is 2nd minimum . the competition record of this row is prague marathon .'} | eq { hop { nth_argmin { all_rows ; notes ; 2 } ; competition } ; prague marathon } = true | select the row whose notes record of all rows is 2nd minimum . the competition record of this row is prague marathon . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmin_0': 0, 'all_rows_4': 4, 'notes_5': 5, '2_6': 6, 'competition_7': 7, 'prague marathon_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', 'notes_5': 'notes', '2_6': '2', 'competition_7': 'competition', 'prague marathon_8': 'prague marathon'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmin_0': [1], 'all_rows_4': [0], 'notes_5': [0], '2_6': [0], 'competition_7': [1], 'prague marathon_8': [2]} | ['year', 'competition', 'venue', 'position', 'event', 'notes'] | [['1995', 'venice marathon', 'venice , italy', '1st', 'marathon', '2:29:11'], ['1996', 'olympic games', 'atlanta , united states', 'n / a', 'marathon', 'dnf'], ['1997', 'monaco marathon', 'monte carlo , monaco', '1st', 'marathon', '2:28:16'], ['1998', 'italian marathon', 'carpi , italy', '1st', 'marathon', '2:31:23'], ['1998', 'european championships', 'budapest , hungary', '3rd', 'marathon', '2:28:31'], ['1999', 'rome city marathon', 'rome , italy', '1st', 'marathon', '2:29:36'], ['2000', 'vienna marathon', 'vienna , austria', '1st', 'marathon', '2:23:47'], ['2000', 'olympic games', 'sydney , australia', '12th', 'marathon', '2:29:26'], ['2001', 'prague marathon', 'prague , czech republic', '1st', 'marathon', '2:26:33']] |
john wayne filmography | https://en.wikipedia.org/wiki/John_Wayne_filmography | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12379832-9.html.csv | count | harry fraser directed two of the movies that john wayne starred in . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'fraser', 'result': '2', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'director', 'fraser'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose director record fuzzily matches to fraser .', 'tostr': 'filter_eq { all_rows ; director ; fraser }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; director ; fraser } }', 'tointer': 'select the rows whose director record fuzzily matches to fraser . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; director ; fraser } } ; 2 } = true', 'tointer': 'select the rows whose director record fuzzily matches to fraser . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; director ; fraser } } ; 2 } = true | select the rows whose director record fuzzily matches to fraser . 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, 'director_5': 5, 'fraser_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', 'director_5': 'director', 'fraser_6': 'fraser', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'director_5': [0], 'fraser_6': [0], '2_7': [2]} | ['title', 'studio', 'role', 'leading lady', 'director'] | [['the lucky texan', 'mono', 'jerry mason', 'barbara sheldon', 'rn bradbury'], ['west of the divide', 'mono', 'ted hayden', 'virginia browne faire', 'rn bradbury'], ['blue steel', 'mono', 'john carruthers', 'eleanor hunt', 'rn bradbury'], ['the man from utah', 'mono', 'john westen', 'polly ann young', 'rn bradbury'], ['randy rides alone', 'mono', 'randy bowers', 'alberta vaughn', 'harry l fraser'], ['the star packer', 'mono', 'john travers', 'verna hillie', 'rn bradbury'], ['the trail beyond', 'mono', 'rod drew', 'verna hillie', 'rn bradbury'], ['the lawless frontier', 'mono', 'john tobin', 'sheila terry', 'rn bradbury'], ["' neath the arizona skies", 'mono', 'chris morrell', 'sheila terry', 'harry fraser']] |
dinamo riga | https://en.wikipedia.org/wiki/Dinamo_Riga | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-20833768-4.html.csv | count | dinamo riga had two seasons in which they played a total of exactly 56 games . | {'scope': 'all', 'criterion': 'equal', 'value': '56', 'result': '2', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'gp', '56'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose gp record is equal to 56 .', 'tostr': 'filter_eq { all_rows ; gp ; 56 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; gp ; 56 } }', 'tointer': 'select the rows whose gp record is equal to 56 . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; gp ; 56 } } ; 2 } = true', 'tointer': 'select the rows whose gp record is equal to 56 . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; gp ; 56 } } ; 2 } = true | select the rows whose gp record is equal to 56 . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'gp_5': 5, '56_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'gp_5': 'gp', '56_6': '56', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'gp_5': [0], '56_6': [0], '2_7': [2]} | ['season', 'gp', 'w ( ot / so )', 'l ( ot / so )', 'pts', 'pts / gp', 'gf - ga', 'rank ( league / conference )', 'top scorer'] | [['2008 - 09', '56', '24 ( 3 / 2 )', '23 ( 1 / 3 )', '86', '1.54', '132 - 156', '10th / -', 'marcel hossa ( 44 )'], ['2009 - 10', '56', '23 ( 1 / 3 )', '22 ( 3 / 4 )', '84', '1.50', '174 - 175', '13th / 8th', 'marcel hossa ( 55 )'], ['2010 - 11', '54', '20 ( 2 / 5 )', '20 ( 5 / 2 )', '81', '1.50', '160 - 149', '13th / 7th', 'lauris dārziņš ( 44 )'], ['2011 - 12', '54', '20 ( 2 / 4 )', '21 ( 0 / 7 )', '79', '1.46', '129 - 136', '15th / 7th', 'miķelis rēdlihs ( 44 )'], ['2012 - 13', '52', '11 ( 2 / 2 )', '31 ( 2 / 2 )', '51', '0.98', '109 - 151', '24th / 14th', 'mārtiņš karsums ( 35 )']] |
2011 manx grand prix | https://en.wikipedia.org/wiki/2011_Manx_Grand_Prix | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-30058355-5.html.csv | unique | dave moffitt was the only rider to use a suzuki . | {'scope': 'all', 'row': '2', 'col': '2', 'col_other': 'n/a', 'criterion': 'fuzzily_match', 'value': 'suzuki', 'subset': None} | {'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'rider', 'suzuki'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose rider record fuzzily matches to suzuki .', 'tostr': 'filter_eq { all_rows ; rider ; suzuki }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; rider ; suzuki } } = true', 'tointer': 'select the rows whose rider record fuzzily matches to suzuki . there is only one such row in the table .'} | only { filter_eq { all_rows ; rider ; suzuki } } = true | select the rows whose rider record fuzzily matches to suzuki . there is only one such row in the table . | 2 | 2 | {'only_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'rider_4': 4, 'suzuki_5': 5} | {'only_1': 'only', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'rider_4': 'rider', 'suzuki_5': 'suzuki'} | {'only_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'rider_4': [0], 'suzuki_5': [0]} | ['rank', 'rider', 'sat 20 aug', 'mon 22 aug', 'tues 23 aug', 'wed 24 aug', 'thurs 25 aug', 'fri 26 aug'] | [['1', 'phillip mcgurk 650cc springcourt', 'cancelled no time', '-- no time', 'cancelled no time', '-- no time', "23 ' 06.85 97.940 mph", "20 ' 25.07 110.974 mph"], ['2', 'dave moffitt 649cc suzuki', 'cancelled no time', "21 ' 07.69 107.146 mph", 'cancelled no time', "21 ' 11.33 106.839 mph", "23 ' 05.13 98.061 mph", "20 ' 36.50 109.849 mph"], ['3', 'wayne hamilton 650cc kawasaki', 'cancelled no time', "22 ' 09.30 102.180 mph", 'cancelled no time', '-- no time', "22 ' 36.69 100.117 mph", "20 ' 41.34 109.420 mph"], ['4', 'shaun anderson 650cc kawasaki', 'cancelled no time', "21 ' 26.67 105.566 mph", 'cancelled no time', "21 ' 24.40 105.752 mph", '-- no time', "20 ' 41.67 109.392 mph"], ['5', 'joe phillips 650cc yamasaki', 'cancelled no time', "20 ' 42.56 109.313 mph", 'cancelled no time', "21 ' 04.17 107.444 mph", '-- no time', "22 ' 47.52 99.325 mph"], ['6', 'rab davie 650cc kawasaki', 'cancelled no time', '-- no time', 'cancelled no time', "21 ' 13.15 106.686 mph", "24 ' 07.89 93.811 mph", "21 ' 01.63 107.661 mph"], ['7', 'lee derbyshire 650cc kawasaki', 'cancelled no time', "21 ' 45.75 104.023 mph", 'cancelled no time', "21 ' 31.82 105.145 mph", "25 ' 05.49 90.222 mph", "21 ' 08.08 107.113 mph"], ['8', 'jonny heginbotham 650cc kawasaki', 'cancelled no time', "21 ' 55.42 103.259 mph", 'cancelled no time', '-- no time', '-- no time', "21 ' 08.50 107.078 mph"], ['9', 'phil harvey 250cc honda', 'cancelled no time', "26 ' 14.72 86.255 mph", 'cancelled no time', '-- no time', "22 ' 51.42 99.042 mph", "21 ' 10.76 106.888 mph"]] |
1987 toronto blue jays season | https://en.wikipedia.org/wiki/1987_Toronto_Blue_Jays_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12207430-2.html.csv | superlative | the april 6 game between the toronto blue jays and the indians drew the highest attendance . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '2', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'attendance'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; attendance }'}, 'opponent'], 'result': 'indians', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; attendance } ; opponent }'}, 'indians'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; attendance } ; opponent } ; indians } = true', 'tointer': 'select the row whose attendance record of all rows is maximum . the opponent record of this row is indians .'} | eq { hop { argmax { all_rows ; attendance } ; opponent } ; indians } = true | select the row whose attendance record of all rows is maximum . the opponent record of this row is indians . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'attendance_5': 5, 'opponent_6': 6, 'indians_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'attendance_5': 'attendance', 'opponent_6': 'opponent', 'indians_7': 'indians'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'attendance_5': [0], 'opponent_6': [1], 'indians_7': [2]} | ['date', 'opponent', 'score', 'loss', 'attendance', 'record'] | [['april 6', 'indians', '7 - 3', 'candiotti ( 0 - 1 )', '40404', '1 - 0'], ['april 8', 'indians', '5 - 1', 'swindell ( 0 - 1 )', '20388', '2 - 0'], ['april 9', 'indians', '14 - 3', 'johnson ( 0 - 1 )', '21088', '2 - 1'], ['april 10', 'red sox', '3 - 0', 'stieb ( 0 - 1 )', '33679', '2 - 2'], ['april 11', 'red sox', '11 - 1', 'clemens ( 0 - 1 )', '33365', '3 - 2'], ['april 12', 'red sox', '8 - 3', 'clancy ( 1 - 1 )', '27521', '3 - 3'], ['april 14', 'white sox', '4 - 3 ( 13 )', 'mckeon ( 0 - 1 )', '17324', '4 - 3'], ['april 15', 'white sox', '5 - 0', 'stieb ( 0 - 2 )', '17285', '4 - 4'], ['april 16', 'red sox', '4 - 2', 'clemens ( 0 - 2 )', '22065', '5 - 4'], ['april 17', 'red sox', '10 - 5', 'stanley ( 1 - 2 )', '36400', '6 - 4'], ['april 18', 'red sox', '6 - 4', 'clancy ( 1 - 2 )', '39107', '6 - 5'], ['april 19', 'red sox', '4 - 1', 'johnson ( 0 - 2 )', '28140', '6 - 6'], ['april 20', 'indians', '8 - 7 ( 10 )', 'jones ( 0 - 1 )', '11164', '7 - 6'], ['april 21', 'indians', '5 - 0', 'key ( 3 - 1 )', '7203', '7 - 7'], ['april 22', 'indians', '6 - 3', 'carlton ( 1 - 2 )', '6000', '8 - 7'], ['april 24', 'white sox', '4 - 2 ( 10 )', 'james ( 0 - 1 )', '10105', '9 - 7'], ['april 25', 'white sox', '5 - 4', 'eichhorn ( 3 - 1 )', '18644', '9 - 8'], ['april 26', 'white sox', '5 - 2', 'deleã cubicn ( 2 - 2 )', '20443', '10 - 8'], ['april 28', 'twins', '5 - 1', 'viola ( 1 - 3 )', '21182', '11 - 8'], ['april 29', 'twins', '8 - 1', 'smithson ( 3 - 1 )', '19020', '12 - 8']] |
1970 san francisco 49ers season | https://en.wikipedia.org/wiki/1970_San_Francisco_49ers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16678369-2.html.csv | aggregation | in san francisco 49ers 1970 season , attendance for their games against the los angeles rams averaged 68,437 . | {'scope': 'subset', 'col': '5', 'type': 'average', 'result': '68,437', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'los angeles rams'}} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'opponent', 'los angeles rams'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; opponent ; los angeles rams }', 'tointer': 'select the rows whose opponent record fuzzily matches to los angeles rams .'}, 'attendance'], 'result': '68,437', 'ind': 1, 'tostr': 'avg { filter_eq { all_rows ; opponent ; los angeles rams } ; attendance }'}, '68,437'], 'result': True, 'ind': 2, 'tostr': 'round_eq { avg { filter_eq { all_rows ; opponent ; los angeles rams } ; attendance } ; 68,437 } = true', 'tointer': 'select the rows whose opponent record fuzzily matches to los angeles rams . the average of the attendance record of these rows is 68,437 .'} | round_eq { avg { filter_eq { all_rows ; opponent ; los angeles rams } ; attendance } ; 68,437 } = true | select the rows whose opponent record fuzzily matches to los angeles rams . the average of the attendance record of these rows is 68,437 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'avg_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'opponent_5': 5, 'los angeles rams_6': 6, 'attendance_7': 7, '68,437_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'avg_1': 'avg', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'opponent_5': 'opponent', 'los angeles rams_6': 'los angeles rams', 'attendance_7': 'attendance', '68,437_8': '68,437'} | {'eq_2': [3], 'result_3': [], 'avg_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'opponent_5': [0], 'los angeles rams_6': [0], 'attendance_7': [1], '68,437_8': [2]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 20 , 1970', 'washington redskins', 'w 26 - 17', '34984'], ['2', 'september 27 , 1970', 'cleveland browns', 'w 34 - 31', '37502'], ['3', 'october 4 , 1970', 'atlanta falcons', 'l 21 - 20', '58850'], ['4', 'october 11 , 1970', 'los angeles rams', 'w 20 - 6', '77272'], ['5', 'october 18 , 1970', 'new orleans saints', 't 20 - 20', '39446'], ['6', 'october 25 , 1970', 'denver broncos', 'w 19 - 14', '39515'], ['7', 'november 1 , 1970', 'green bay packers', 'w 26 - 10', '59335'], ['8', 'november 8 , 1970', 'chicago bears', 'w 37 - 16', '45607'], ['9', 'november 15 , 1970', 'houston oilers', 'w 30 - 20', '43040'], ['10', 'november 22 , 1970', 'detroit lions', 'l 28 - 7', '56232'], ['11', 'november 29 , 1970', 'los angeles rams', 'l 30 - 13', '59602'], ['12', 'december 6 , 1970', 'atlanta falcons', 'w 24 - 20', '41387'], ['13', 'december 13 , 1970', 'new orleans saints', 'w 38 - 27', '61940'], ['14', 'december 20 , 1970', 'oakland raiders', 'w 38 - 7', '54535']] |
david sigachev | https://en.wikipedia.org/wiki/David_Sigachev | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-25421463-1.html.csv | superlative | david sagachev 's best finish was 13th at the 2009 porsche carrera cup . | {'scope': 'all', 'col_superlative': '7', 'row_superlative': '3', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '2', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'final placing'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; final placing }'}, 'series'], 'result': 'porsche carrera cup germany', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; final placing } ; series }'}, 'porsche carrera cup germany'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmin { all_rows ; final placing } ; series } ; porsche carrera cup germany } = true', 'tointer': 'select the row whose final placing record of all rows is minimum . the series record of this row is porsche carrera cup germany .'} | eq { hop { argmin { all_rows ; final placing } ; series } ; porsche carrera cup germany } = true | select the row whose final placing record of all rows is minimum . the series record of this row is porsche carrera cup germany . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'final placing_5': 5, 'series_6': 6, 'porsche carrera cup germany_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'final placing_5': 'final placing', 'series_6': 'series', 'porsche carrera cup germany_7': 'porsche carrera cup germany'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'final placing_5': [0], 'series_6': [1], 'porsche carrera cup germany_7': [2]} | ['season', 'series', 'team name', 'races', 'wins', 'points', 'final placing'] | [['2007', 'formula renault 2.0 nec', 'sl formula racing', '16', '0', '67', '21st'], ['2007', 'eurocup formula renault 2.0', 'sl formula racing', '2', '0', 'n / a', 'nc'], ['2009', 'porsche carrera cup germany', 'tolimit seyffarth motorsport', '9', '0', '38', '13th'], ['2009', 'porsche supercup', 'tolimit seyffarth motorsport', '2', '0', 'n / a', 'nc'], ['2010', 'porsche carrera cup germany', 'seyffarth motorsport', '9', '0', '42', '14th']] |
dusit chalermsan | https://en.wikipedia.org/wiki/Dusit_Chalermsan | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18455762-1.html.csv | count | of the games shown dusit chalermsan drew only two games . | {'scope': 'all', 'criterion': 'equal', 'value': 'drew', 'result': '2', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'result', 'drew'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose result record fuzzily matches to drew .', 'tostr': 'filter_eq { all_rows ; result ; drew }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; result ; drew } }', 'tointer': 'select the rows whose result record fuzzily matches to drew . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; result ; drew } } ; 2 } = true', 'tointer': 'select the rows whose result record fuzzily matches to drew . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; result ; drew } } ; 2 } = true | select the rows whose result record fuzzily matches to drew . 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, 'result_5': 5, 'drew_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', 'result_5': 'result', 'drew_6': 'drew', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'result_5': [0], 'drew_6': [0], '2_7': [2]} | ['date', 'venue', 'score', 'result', 'competition'] | [['october 3 , 1994', 'hiroshima , japan', '1 - 2', 'lost', '1994 asian games'], ['october 5 , 1994', 'hiroshima , japan', '2 - 4', 'lost', '1994 asian games'], ['june 27 , 1996', 'bangkok , thailand', '8 - 0', 'won', '1996 asian cup qualification'], ['june 29 , 1996', 'bangkok , thailand', '5 - 1', 'won', '1996 asian cup qualification'], ['july 4 , 1996', 'singapore', '8 - 0', 'won', '1996 asian cup qualification'], ['december 11 , 1996', 'dubai , united arab emirates', '1 - 4', 'lost', '1996 asian cup'], ['march 15 , 1997', 'bangkok , thailand', '3 - 1', 'won', 'friendly'], ['march 30 , 1997', 'hong kong island , hong kong', '2 - 3', 'lost', '1998 fifa world cup qualification'], ['january 25 , 1998', 'bangkok , thailand', '1 - 1', 'drew', "king 's cup 1998"], ['december 8 , 1998', 'bangkok , thailand', '1 - 1', 'drew', '1998 asian games'], ['august 14 , 1999', 'bandar seri begawan , brunei', '2 - 0', 'won', '1999 southeast asian games'], ['september 3 , 2000', 'beijing , china', '4 - 2', 'won', 'friendly tournament'], ['november 10 , 2000', 'chiang mai , thailand', '4 - 1', 'won', '2000 tiger cup']] |
list of england national rugby union team results 2000 - 09 | https://en.wikipedia.org/wiki/List_of_England_national_rugby_union_team_results_2000%E2%80%9309 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18178551-6.html.csv | majority | most of the venues for the england national rugby union team were in london . | {'scope': 'all', 'col': '4', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'london', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'venue', 'london'], 'result': True, 'ind': 0, 'tointer': 'for the venue records of all rows , most of them fuzzily match to london .', 'tostr': 'most_eq { all_rows ; venue ; london } = true'} | most_eq { all_rows ; venue ; london } = true | for the venue records of all rows , most of them fuzzily match to london . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'venue_3': 3, 'london_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'venue_3': 'venue', 'london_4': 'london'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'venue_3': [0], 'london_4': [0]} | ['opposing teams', 'against', 'date', 'venue', 'status'] | [['wales', '11', '05 / 02 / 2005', 'millennium stadium , cardiff', 'six nations'], ['france', '18', '13 / 02 / 2005', 'twickenham , london', 'six nations'], ['ireland', '19', '27 / 02 / 2005', 'lansdowne road , dublin', 'six nations'], ['italy', '7', '12 / 03 / 2005', 'twickenham , london', 'six nations'], ['scotland', '22', '19 / 03 / 2005', 'twickenham , london', 'six nations'], ['australia', '16', '12 / 11 / 2005', 'twickenham , london', 'test match'], ['new zealand', '23', '19 / 11 / 2005', 'twickenham , london', 'test match'], ['samoa', '3', '26 / 11 / 2005', 'twickenham , london', 'test match']] |
vern schuppan | https://en.wikipedia.org/wiki/Vern_Schuppan | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1235700-2.html.csv | aggregation | of the years that vern schuppan had a start , his average start was 19th . | {'scope': 'subset', 'col': '4', 'type': 'average', 'result': '19', 'subset': {'col': '4', 'criterion': 'not_equal', 'value': 'dnq'}} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': [{'func': 'filter_str_not_eq', 'args': ['all_rows', 'start', 'dnq'], 'result': None, 'ind': 0, 'tostr': 'filter_not_eq { all_rows ; start ; dnq }', 'tointer': 'select the rows whose start record does not match to dnq .'}, 'start'], 'result': '19', 'ind': 1, 'tostr': 'avg { filter_not_eq { all_rows ; start ; dnq } ; start }'}, '19'], 'result': True, 'ind': 2, 'tostr': 'round_eq { avg { filter_not_eq { all_rows ; start ; dnq } ; start } ; 19 } = true', 'tointer': 'select the rows whose start record does not match to dnq . the average of the start record of these rows is 19 .'} | round_eq { avg { filter_not_eq { all_rows ; start ; dnq } ; start } ; 19 } = true | select the rows whose start record does not match to dnq . the average of the start record of these rows is 19 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'avg_1': 1, 'filter_str_not_eq_0': 0, 'all_rows_4': 4, 'start_5': 5, 'dnq_6': 6, 'start_7': 7, '19_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'avg_1': 'avg', 'filter_str_not_eq_0': 'filter_str_not_eq', 'all_rows_4': 'all_rows', 'start_5': 'start', 'dnq_6': 'dnq', 'start_7': 'start', '19_8': '19'} | {'eq_2': [3], 'result_3': [], 'avg_1': [2], 'filter_str_not_eq_0': [1], 'all_rows_4': [0], 'start_5': [0], 'dnq_6': [0], 'start_7': [1], '19_8': [2]} | ['year', 'chassis', 'engine', 'start', 'finish'] | [['1976', 'eagle', 'offy', '17th', '18th'], ['1977', 'wildcat', 'offy', 'dnq', 'dnq'], ['1979', 'wildcat', 'dgs', '22nd', '21st'], ['1981', 'mclaren', 'cosworth', '18th', '3rd'], ['1982', 'penske', 'cosworth', 'dnq', 'dnq']] |
2007 latvian higher league | https://en.wikipedia.org/wiki/2007_Latvian_Higher_League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11236683-2.html.csv | majority | the majority of teams had at least 5 draws in the 2007 latvian higher league . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'greater_than_eq', 'value': '5', 'subset': None} | {'func': 'most_greater_eq', 'args': ['all_rows', 'draws', '5'], 'result': True, 'ind': 0, 'tointer': 'for the draws records of all rows , most of them are greater than or equal to 5 .', 'tostr': 'most_greater_eq { all_rows ; draws ; 5 } = true'} | most_greater_eq { all_rows ; draws ; 5 } = true | for the draws records of all rows , most of them are greater than or equal to 5 . | 1 | 1 | {'most_greater_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'draws_3': 3, '5_4': 4} | {'most_greater_eq_0': 'most_greater_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'draws_3': 'draws', '5_4': '5'} | {'most_greater_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'draws_3': [0], '5_4': [0]} | ['position', 'club', 'played', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'points', 'goal difference'] | [['1', 'fk ventspils', '28', '18', '6', '4', '59', '16', '60', '+ 43'], ['2', 'fhk liepājas metalurgs', '28', '18', '4', '6', '42', '21', '58', '+ 21'], ['3', 'fk rīga', '28', '17', '6', '5', '48', '28', '57', '+ 20'], ['4', 'skonto fc rīga', '28', '16', '7', '5', '54', '27', '55', '+ 27'], ['5', 'fk daugava daugavpils', '28', '9', '6', '13', '33', '38', '33', '- 5'], ['6', 'fk jūrmala', '28', '7', '5', '16', '28', '51', '26', '- 23'], ['7', 'dinaburg fc daugavpils', '28', '6', '2', '20', '23', '58', '20', '- 35'], ['8', 'jfc olimps rīga', '28', '2', '2', '24', '15', '63', '8', '- 48']] |
1968 - 69 philadelphia flyers season | https://en.wikipedia.org/wiki/1968%E2%80%9369_Philadelphia_Flyers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14191335-4.html.csv | ordinal | the philadelphia flyers ' game as a visitor against montreal recorded their highest attendance of the 1968 - 69 season . | {'row': '6', 'col': '6', 'order': '1', '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', 'attendance', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; attendance ; 1 }'}, 'home'], 'result': 'montreal', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; attendance ; 1 } ; home }'}, 'montreal'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; attendance ; 1 } ; home } ; montreal } = true', 'tointer': 'select the row whose attendance record of all rows is 1st maximum . the home record of this row is montreal .'} | eq { hop { nth_argmax { all_rows ; attendance ; 1 } ; home } ; montreal } = true | select the row whose attendance record of all rows is 1st maximum . the home record of this row is montreal . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'attendance_5': 5, '1_6': 6, 'home_7': 7, 'montreal_8': 8} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'nth_argmax_0': 'nth_argmax', 'all_rows_4': 'all_rows', 'attendance_5': 'attendance', '1_6': '1', 'home_7': 'home', 'montreal_8': 'montreal'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'attendance_5': [0], '1_6': [0], 'home_7': [1], 'montreal_8': [2]} | ['date', 'visitor', 'score', 'home', 'decision', 'attendance', 'record'] | [['december 1', 'philadelphia', '3 - 3', 'detroit', 'parent', '13039', '6 - 13 - 3'], ['december 4', 'philadelphia', '1 - 3', 'los angeles', 'parent', '5847', '6 - 14 - 3'], ['december 6', 'philadelphia', '0 - 4', 'oakland', 'favell', '3166', '6 - 15 - 3'], ['december 8', 'st louis', '4 - 4', 'philadelphia', 'parent', '10329', '6 - 15 - 4'], ['december 12', 'toronto', '1 - 0', 'philadelphia', 'parent', '8531', '6 - 16 - 4'], ['december 14', 'philadelphia', '0 - 1', 'montreal', 'parent', '16584', '6 - 17 - 4'], ['december 15', 'philadelphia', '3 - 1', 'new york', 'parent', '12731', '7 - 17 - 4'], ['december 17', 'pittsburgh', '2 - 8', 'philadelphia', 'parent', '6986', '8 - 17 - 4'], ['december 19', 'minnesota', '5 - 5', 'philadelphia', 'parent', '8394', '8 - 17 - 5'], ['december 21', 'philadelphia', '2 - 1', 'los angeles', 'favell', '7108', '9 - 17 - 5'], ['december 22', 'philadelphia', '1 - 2', 'oakland', 'favell', '1829', '9 - 18 - 5'], ['december 25', 'new york', '2 - 2', 'philadelphia', 'favell', '9545', '9 - 18 - 6'], ['december 27', 'philadelphia', '3 - 3', 'detroit', 'parent', '11935', '9 - 18 - 7'], ['december 29', 'oakland', '2 - 1', 'philadelphia', 'parent', '12767', '9 - 19 - 7']] |
2008 manx grand prix | https://en.wikipedia.org/wiki/2008_Manx_Grand_Prix | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18649514-4.html.csv | unique | mark herbertson was the only driver from the 499cc matchless g50 team . | {'scope': 'all', 'row': '9', 'col': '3', 'col_other': '2', 'criterion': 'equal', 'value': '499cc matchless g50', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', '499cc matchless g50'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team record fuzzily matches to 499cc matchless g50 .', 'tostr': 'filter_eq { all_rows ; team ; 499cc matchless g50 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; team ; 499cc matchless g50 } }', 'tointer': 'select the rows whose team record fuzzily matches to 499cc matchless g50 . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', '499cc matchless g50'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team record fuzzily matches to 499cc matchless g50 .', 'tostr': 'filter_eq { all_rows ; team ; 499cc matchless g50 }'}, 'rider'], 'result': 'mark herbertson', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; team ; 499cc matchless g50 } ; rider }'}, 'mark herbertson'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; team ; 499cc matchless g50 } ; rider } ; mark herbertson }', 'tointer': 'the rider record of this unqiue row is mark herbertson .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; team ; 499cc matchless g50 } } ; eq { hop { filter_eq { all_rows ; team ; 499cc matchless g50 } ; rider } ; mark herbertson } } = true', 'tointer': 'select the rows whose team record fuzzily matches to 499cc matchless g50 . there is only one such row in the table . the rider record of this unqiue row is mark herbertson .'} | and { only { filter_eq { all_rows ; team ; 499cc matchless g50 } } ; eq { hop { filter_eq { all_rows ; team ; 499cc matchless g50 } ; rider } ; mark herbertson } } = true | select the rows whose team record fuzzily matches to 499cc matchless g50 . there is only one such row in the table . the rider record of this unqiue row is mark herbertson . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'team_7': 7, '499cc matchless g50_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'rider_9': 9, 'mark herbertson_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'team_7': 'team', '499cc matchless g50_8': '499cc matchless g50', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'rider_9': 'rider', 'mark herbertson_10': 'mark herbertson'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'team_7': [0], '499cc matchless g50_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'rider_9': [2], 'mark herbertson_10': [3]} | ['rank', 'rider', 'team', 'speed', 'time'] | [['1', 'ryan farquhar', '498cc bic paton', '102.385 mph', '1:06.19.90'], ['2', 'alan oversby', '500cc norton manx', '101.863 mph', '1:06.40.30'], ['3', 'alan brew', 'seeley g50 496cc', '99.367 mph', '1:08.20.78'], ['4', 'wattie brown', '500cc petty manx', '98.118 mph', '1:09.12.98'], ['5', 'andy reynolds', '499cc bic paton', '97.152 mph', '1:09.54.28'], ['6', 'bob price', '500cc seeley g50', '96.890 mph', '1:10.05.64'], ['7', 'ken davis', '500cc norton manx', '95.948 mph', '1:10.46.92'], ['8', 'chris swallow', '476cc ducati', '95.664 mph', '1:10.59.52'], ['9', 'mark herbertson', '499cc matchless g50', '95.272 mph', '1:11.17.05'], ['10', 'dave madsen - mygdal', '499cc honda', '92.209 mph', '1:11.19.89']] |
1992 - 93 vancouver canucks season | https://en.wikipedia.org/wiki/1992%E2%80%9393_Vancouver_Canucks_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11128774-7.html.csv | aggregation | the average crowd attendance during was 1992 - 93 vancouver canucks season 15503 . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '15503', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'attendance'], 'result': '15503', 'ind': 0, 'tostr': 'avg { all_rows ; attendance }'}, '15503'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; attendance } ; 15503 } = true', 'tointer': 'the average of the attendance record of all rows is 15503 .'} | round_eq { avg { all_rows ; attendance } ; 15503 } = true | the average of the attendance record of all rows is 15503 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'attendance_4': 4, '15503_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'attendance_4': 'attendance', '15503_5': '15503'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'attendance_4': [0], '15503_5': [1]} | ['date', 'visitor', 'score', 'home', 'decision', 'attendance', 'record'] | [['march 1', 'vancouver', '5 - 2', 'buffalo', 'whitmore', '17098', '36 - 19 - 8'], ['march 2', 'vancouver', '3 - 3', 'washington', 'mclean', '12263', '36 - 19 - 9'], ['march 4', 'vancouver', '3 - 4', 'boston', 'whitmore', '13982', '36 - 20 - 9'], ['march 6', 'vancouver', '1 - 5', 'hartford', 'mclean', '12048', '36 - 21 - 9'], ['march 9', 'new jersey', '2 - 7', 'vancouver', 'mclean', '15822', '37 - 21 - 9'], ['march 11', 'minnesota', '4 - 3', 'vancouver', 'whitmore', '12006', '37 - 22 - 9'], ['march 12', 'vancouver', '3 - 2', 'winnipeg', 'mclean', '15567', '38 - 22 - 9'], ['march 14', 'vancouver', '2 - 3', 'calgary', 'mclean', '20214', '38 - 23 - 9'], ['march 18', 'winnipeg', '5 - 2', 'vancouver', 'mclean', '16150', '38 - 24 - 9'], ['march 20', 'ny islanders', '7 - 2', 'vancouver', 'whitmore', '16150', '38 - 25 - 9'], ['march 22', 'st louis', '3 - 1', 'vancouver', 'mclean', '15871', '38 - 26 - 9'], ['march 24', 'los angeles', '2 - 6', 'vancouver', 'mclean', '16150', '39 - 26 - 9'], ['march 26', 'calgary', '3 - 1', 'vancouver', 'mclean', '16150', '39 - 27 - 9'], ['march 30', 'vancouver', '6 - 3', 'st louis', 'mclean', '17573', '40 - 27 - 9']] |
list of ngc objects ( 2001 - 3000 ) | https://en.wikipedia.org/wiki/List_of_NGC_objects_%282001%E2%80%933000%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11097664-2.html.csv | majority | the majority of ngc objects are of the open cluster type . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'open cluster', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'object type', 'open cluster'], 'result': True, 'ind': 0, 'tointer': 'for the object type records of all rows , most of them fuzzily match to open cluster .', 'tostr': 'most_eq { all_rows ; object type ; open cluster } = true'} | most_eq { all_rows ; object type ; open cluster } = true | for the object type records of all rows , most of them fuzzily match to open cluster . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'object type_3': 3, 'open cluster_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'object type_3': 'object type', 'open cluster_4': 'open cluster'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'object type_3': [0], 'open cluster_4': [0]} | ['ngc number', 'object type', 'constellation', 'right ascension ( j2000 )', 'declination ( j2000 )'] | [['2129', 'open cluster', 'gemini', '06h01 m06s', 'degree19 ′ 20 ″'], ['2146', 'spiral galaxy', 'camelopardalis', '06h18 m37 .5 s', 'degree21 ′ 21 ″'], ['2158', 'open cluster', 'gemini', '06h07 m25s', 'degree06 ′'], ['2168', 'open cluster', 'gemini', '06h09 m', 'degree21 ′'], ['2169', 'open cluster', 'orion', '06h08 m32 .5 s', 'degree57 ′ 57 ″'], ['2170', 'diffuse nebula', 'monoceros', '06h07 m48s', 'degree23 ′'], ['2171', 'open cluster', 'mensa', '05h58 m26 .2 s', 'degree39 ′ 15 ″'], ['2172', 'open cluster', 'dorado', '06h00 m05s', 'degree38 ′'], ['2173', 'globular cluster', 'mensa', '05h57 m39 .7 s', 'degree58 ′ 41 ″'], ['2174', 'diffuse nebula', 'orion', '06h10 m', 'degree30 ′'], ['2175', 'open cluster', 'orion', '06h10 m', 'degree30 ′'], ['2194', 'open cluster', 'orion', '06h13 m42 .4 s', 'degree48 ′ 06 ″']] |
1964 vfl season | https://en.wikipedia.org/wiki/1964_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10784349-18.html.csv | ordinal | the game where essendon was the home team had the 4th highest crowd size . | {'row': '2', 'col': '6', 'order': '4', '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', '4'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; crowd ; 4 }'}, 'home team'], 'result': 'essendon', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; crowd ; 4 } ; home team }'}, 'essendon'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; crowd ; 4 } ; home team } ; essendon } = true', 'tointer': 'select the row whose crowd record of all rows is 4th maximum . the home team record of this row is essendon .'} | eq { hop { nth_argmax { all_rows ; crowd ; 4 } ; home team } ; essendon } = true | select the row whose crowd record of all rows is 4th 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, '4_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', '4_6': '4', '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], '4_6': [0], 'home team_7': [1], 'essendon_8': [2]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['footscray', '12.6 ( 78 )', 'melbourne', '4.14 ( 38 )', 'western oval', '20555', '22 august 1964'], ['essendon', '28.16 ( 184 )', 'south melbourne', '2.7 ( 19 )', 'windy hill', '16800', '22 august 1964'], ['richmond', '9.18 ( 72 )', 'hawthorn', '16.19 ( 115 )', 'punt road oval', '15500', '22 august 1964'], ['st kilda', '12.18 ( 90 )', 'geelong', '11.12 ( 78 )', 'junction oval', '27100', '22 august 1964'], ['north melbourne', '8.13 ( 61 )', 'collingwood', '14.8 ( 92 )', 'arden street oval', '21895', '22 august 1964'], ['fitzroy', '7.12 ( 54 )', 'carlton', '19.20 ( 134 )', 'brunswick street oval', '14151', '22 august 1964']] |
1908 vfl season | https://en.wikipedia.org/wiki/1908_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1204658-15.html.csv | majority | all games of the 1908 vfl season were played on the 1st of august . | {'scope': 'all', 'col': '6', 'most_or_all': 'all', 'criterion': 'equal', 'value': '1 august', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'date', '1 august'], 'result': True, 'ind': 0, 'tointer': 'for the date records of all rows , all of them fuzzily match to 1 august .', 'tostr': 'all_eq { all_rows ; date ; 1 august } = true'} | all_eq { all_rows ; date ; 1 august } = true | for the date records of all rows , all of them fuzzily match to 1 august . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'date_3': 3, '1 august_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'date_3': 'date', '1 august_4': '1 august'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'date_3': [0], '1 august_4': [0]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'date'] | [['melbourne', '7.12 ( 54 )', 'university', '8.10 ( 58 )', 'mcg', '1 august 1908'], ['essendon', '8.13 ( 61 )', 'fitzroy', '7.8 ( 50 )', 'emcg', '1 august 1908'], ['carlton', '8.19 ( 67 )', 'south melbourne', '6.5 ( 41 )', 'princes park', '1 august 1908'], ['st kilda', '17.5 ( 107 )', 'geelong', '5.8 ( 38 )', 'junction oval', '1 august 1908'], ['richmond', '11.8 ( 74 )', 'collingwood', '10.9 ( 69 )', 'punt road oval', '1 august 1908']] |
shinji nakano | https://en.wikipedia.org/wiki/Shinji_Nakano | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1226567-5.html.csv | majority | in most of his races , shinji nakano did not finish . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'dnf', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'pos', 'dnf'], 'result': True, 'ind': 0, 'tointer': 'for the pos records of all rows , most of them fuzzily match to dnf .', 'tostr': 'most_eq { all_rows ; pos ; dnf } = true'} | most_eq { all_rows ; pos ; dnf } = true | for the pos records of all rows , most of them fuzzily match to dnf . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'pos_3': 3, 'dnf_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'pos_3': 'pos', 'dnf_4': 'dnf'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'pos_3': [0], 'dnf_4': [0]} | ['year', 'team', 'co - drivers', 'class', 'laps', 'pos', 'class pos'] | [['2005', 'courage compétition', 'jonathan cochet bruce jouanny', 'lmp1', '52', 'dnf', 'dnf'], ['2006', 'courage compétition', 'jean - marc gounon haruki kurosawa', 'lmp1', '35', 'dnf', 'dnf'], ['2007', 'creation autosportif ltd', 'jamie campbell - walter felipe ortiz', 'lmp1', '55', 'dnf', 'dnf'], ['2008', 'epsilon euskadi', 'stefan johansson jean - marc gounon', 'lmp1', '158', 'dnf', 'dnf'], ['2011', 'oak racing', 'nicolas de crem jan charouz', 'lmp2', '313', '14th', '5th'], ['2012', 'boutsen ginion racing', 'bastien brière jens petersen', 'lmp2', '325', '24th', '10th']] |
ídolos brazil ( season 5 ) | https://en.wikipedia.org/wiki/%C3%8Ddolos_Brazil_%28season_5%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-27615445-1.html.csv | count | luiza pozzi was the guest judge for two episodes . | {'scope': 'all', 'criterion': 'equal', 'value': 'luiza possi', 'result': '2', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'guest fourth judge', 'luiza possi'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose guest fourth judge record fuzzily matches to luiza possi .', 'tostr': 'filter_eq { all_rows ; guest fourth judge ; luiza possi }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; guest fourth judge ; luiza possi } }', 'tointer': 'select the rows whose guest fourth judge record fuzzily matches to luiza possi . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; guest fourth judge ; luiza possi } } ; 2 } = true', 'tointer': 'select the rows whose guest fourth judge record fuzzily matches to luiza possi . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; guest fourth judge ; luiza possi } } ; 2 } = true | select the rows whose guest fourth judge record fuzzily matches to luiza possi . 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, 'guest fourth judge_5': 5, 'luiza possi_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', 'guest fourth judge_5': 'guest fourth judge', 'luiza possi_6': 'luiza possi', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'guest fourth judge_5': [0], 'luiza possi_6': [0], '2_7': [2]} | ['episode air date', 'audition city', 'audition date', 'audition venue', 'guest fourth judge'] | [['june 10 , 2010', 'florianópolis', 'april 10 , 2010', 'nego quirido sambadrome', 'luiza possi'], ['june 15 , 2010', 'florianópolis', 'april 10 , 2010', 'nego quirido sambadrome', 'luiza possi'], ['june 15 , 2010', 'rio de janeiro', 'april 17 , 2010', 'joão havelange olympic stadium', 'marcelo d2'], ['june 17 , 2010', 'rio de janeiro', 'april 17 , 2010', 'joão havelange olympic stadium', 'marcelo d2'], ['june 22 , 2010', 'fortaleza', 'march 27 , 2010', 'paulo sarasate gymnasium', 'reginaldo rossi'], ['june 24 , 2010', 'fortaleza', 'march 27 , 2010', 'paulo sarasate gymnasium', 'reginaldo rossi'], ['june 29 , 2010', 'são paulo', 'april 24 , 2010', 'anhembi sambadrome', 'peninha']] |
yugoslavia national football team results | https://en.wikipedia.org/wiki/Yugoslavia_national_football_team_results | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14305653-40.html.csv | majority | the yugoslavia national football team played most of their games in chile . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'chile', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'city', 'chile'], 'result': True, 'ind': 0, 'tointer': 'for the city records of all rows , most of them fuzzily match to chile .', 'tostr': 'most_eq { all_rows ; city ; chile } = true'} | most_eq { all_rows ; city ; chile } = true | for the city records of all rows , most of them fuzzily match to chile . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'city_3': 3, 'chile_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'city_3': 'city', 'chile_4': 'chile'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'city_3': [0], 'chile_4': [0]} | ['date', 'city', 'opponent', 'results', 'type of game'] | [['may 16', 'belgrade', 'east germany', '3:1', 'friendly'], ['may 31', 'arica , chile', 'ussr', '0:2', 'wc round 1'], ['june 2', 'arica , chile', 'uruguay', '3:1', 'wc round 1'], ['june 7', 'arica , chile', 'colombia', '5:0', 'wc round 1'], ['june 10', 'santiago , chile', 'west germany', '1:0', 'wc round 2'], ['june 13', 'vinja del mar , chile', 'czechoslovakia', '1:3', 'wc round 2'], ['june 16', 'santiago , chile', 'chile', '0:1', 'wc round 2'], ['september 16', 'leipzig , germany', 'east germany', '2:2', 'friendly'], ['september 19', 'belgrade', 'ethiopia', '5:2', 'friendly'], ['september 30', 'zagreb', 'west germany', '2:3', 'friendly'], ['october 14', 'budapest , hungary', 'hungary', '1:0', 'friendly'], ['november 4', 'belgrade', 'belgium', '3:2', "euro '64 qualifying"]] |
ken schrader | https://en.wikipedia.org/wiki/Ken_Schrader | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1671401-2.html.csv | aggregation | the average number of starts for ken schrader was 7.67 . | {'scope': 'all', 'col': '2', 'type': 'average', 'result': '7.67', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'starts'], 'result': '7.67', 'ind': 0, 'tostr': 'avg { all_rows ; starts }'}, '7.67'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; starts } ; 7.67 } = true', 'tointer': 'the average of the starts record of all rows is 7.67 .'} | round_eq { avg { all_rows ; starts } ; 7.67 } = true | the average of the starts record of all rows is 7.67 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'starts_4': 4, '7.67_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'starts_4': 'starts', '7.67_5': '7.67'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'starts_4': [0], '7.67_5': [1]} | ['year', 'starts', 'wins', 'top 5', 'top 10', 'poles', 'avg start', 'avg finish', 'winnings', 'position', 'team ( s )'] | [['1987', '1', '0', '1', '1', '0', '21.0', '5.0', '1825', '83rd', 'ken schrader racing'], ['1988', '10', '0', '2', '3', '0', '16.3', '20.1', '45175', '33rd', 'ken schrader racing'], ['1989', '11', '1', '1', '6', '1', '14.3', '17.6', '27577', '32nd', 'ken schrader racing hendrick motorsports'], ['1990', '11', '0', '1', '2', '0', '20.2', '24.1', '22860', '37th', 'ken schrader racing'], ['1991', '10', '0', '4', '5', '0', '14.0', '16.3', '57345', '35th', 'ken schrader racing darrell waltrip motorsports'], ['1992', '10', '0', '2', '6', '0', '18.8', '11.9', '48352', '29th', 'ken schrader racing ernie irvan racing'], ['1993', '9', '0', '2', '3', '1', '9.0', '15.8', '65628', '35th', 'ken schrader racing'], ['1994', '10', '1', '3', '3', '0', '20.5', '18.2', '68700', '38th', 'ken schrader racing'], ['1995', '9', '0', '2', '4', '0', '25.8', '18.8', '66605', '40th', 'ken schrader racing'], ['1998', '10', '0', '0', '3', '0', '20.7', '22.0', '68920', '46th', 'andy petree racing'], ['1999', '12', '0', '0', '3', '3', '12.1', '19.8', '148480', '42nd', 'andy petree racing'], ['2000', '1', '0', '0', '0', '0', '38.0', '43.0', '15000', '117th', 'team amick motorsports'], ['2001', '1', '0', '0', '0', '0', '11.0', '39.0', '13320', '139th', 'ken schrader racing'], ['2002', '2', '0', '0', '0', '0', '27.5', '38.0', '31000', '98th', 'ken schrader racing'], ['2006', '8', '0', '0', '0', '0', '21.5', '26.8', '197127', '59th', 'brewco motorsports']] |
2000 ansett australia cup | https://en.wikipedia.org/wiki/2000_Ansett_Australia_Cup | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16388398-3.html.csv | count | in the 2000 ansett australia cup there were four games held in february . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'february', 'result': '4', 'col': '7', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'february'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to february .', 'tostr': 'filter_eq { all_rows ; date ; february }'}], 'result': '4', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; date ; february } }', 'tointer': 'select the rows whose date record fuzzily matches to february . the number of such rows is 4 .'}, '4'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; date ; february } } ; 4 } = true', 'tointer': 'select the rows whose date record fuzzily matches to february . the number of such rows is 4 .'} | eq { count { filter_eq { all_rows ; date ; february } } ; 4 } = true | select the rows whose date record fuzzily matches to february . the number of such rows is 4 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'date_5': 5, 'february_6': 6, '4_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'date_5': 'date', 'february_6': 'february', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'date_5': [0], 'february_6': [0], '4_7': [2]} | ['home team', 'home team score', 'away team', 'away team score', 'ground', 'crowd', 'date'] | [['adelaide', '17.5 ( 107 )', 'melbourne', '19.11 ( 125 )', 'football park', '12239', 'sunday , 30 january'], ['geelong', '10.14 ( 74 )', 'st kilda', '11.12 ( 78 )', 'waverley park', '7394', 'sunday , 30 january'], ['st kilda', '9.12 ( 66 )', 'melbourne', '13.14 ( 92 )', 'waverley park', '10533', 'saturday , 5 february'], ['adelaide', '19.10 ( 124 )', 'geelong', '15.12 ( 102 )', 'football park', '11326', 'sunday , 6 february'], ['adelaide', '14.11 ( 95 )', 'st kilda', '15.12 ( 102 )', 'football park', '13086', 'sunday , 13 february'], ['geelong', '17.12 ( 114 )', 'melbourne', '11.16 ( 82 )', 'waverley park', '4952', 'monday , 14 february']] |
nordic skiing | https://en.wikipedia.org/wiki/Nordic_skiing | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-174491-6.html.csv | majority | the majority of nordic skiing participants were from the soviet union . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'soviet union', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'country', 'soviet union'], 'result': True, 'ind': 0, 'tointer': 'for the country records of all rows , most of them fuzzily match to soviet union .', 'tostr': 'most_eq { all_rows ; country ; soviet union } = true'} | most_eq { all_rows ; country ; soviet union } = true | for the country records of all rows , most of them fuzzily match to soviet union . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'country_3': 3, 'soviet union_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'country_3': 'country', 'soviet union_4': 'soviet union'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'country_3': [0], 'soviet union_4': [0]} | ['winner', 'country', 'winter olympics', 'fis nordic world ski championships', 'holmenkollen'] | [['ljubov kozyreva', 'soviet union', '1956', '1954 , 1956', '1955'], ['klavdija bojarskikh', 'soviet union', '1964', '1964 , 1966', '1965 , 1966'], ['toini gustafsson', 'sweden', '1968', '1968', '1960 , 1967 , 1968'], ['galina kulakova', 'soviet union', '1972', '1972 , 1974', '1970 , 1979'], ['raisa smetanina', 'soviet union', '1976', '1976', '1975']] |
2002 rio de janeiro motorcycle grand prix | https://en.wikipedia.org/wiki/2002_Rio_de_Janeiro_motorcycle_Grand_Prix | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17050986-1.html.csv | majority | the majority of competitors completed 24 laps of the competition . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'equal', 'value': '24', 'subset': None} | {'func': 'most_eq', 'args': ['all_rows', 'laps', '24'], 'result': True, 'ind': 0, 'tointer': 'for the laps records of all rows , most of them are equal to 24 .', 'tostr': 'most_eq { all_rows ; laps ; 24 } = true'} | most_eq { all_rows ; laps ; 24 } = true | for the laps records of all rows , most of them are equal to 24 . | 1 | 1 | {'most_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'laps_3': 3, '24_4': 4} | {'most_eq_0': 'most_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'laps_3': 'laps', '24_4': '24'} | {'most_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'laps_3': [0], '24_4': [0]} | ['rider', 'manufacturer', 'laps', 'time / retired', 'grid'] | [['valentino rossi', 'honda', '24', '49:09.516', '2'], ['max biaggi', 'yamaha', '24', '+ 1.674', '1'], ['kenny roberts , jr', 'suzuki', '24', '+ 18.764', '16'], ['alex barros', 'honda', '24', '+ 24.759', '15'], ['loris capirossi', 'honda', '24', '+ 32.354', '12'], ['norifumi abe', 'yamaha', '24', '+ 34.360', '11'], ['olivier jacque', 'yamaha', '24', '+ 44.250', '7'], ['sete gibernau', 'suzuki', '24', '+ 57.150', '18'], ['jurgen vd goorbergh', 'honda', '24', '+ 1:09.987', '8'], ['garry mccoy', 'yamaha', '24', '+ 1:17.611', '4'], ['josé luis cardoso', 'yamaha', '24', '+ 1:20.837', '20'], ['nobuatsu aoki', 'proton kr', '24', '+ 1:50.774', '10'], ['tetsuya harada', 'honda', '23', '+ 1 lap', '19'], ['john hopkins', 'yamaha', '23', '+ 1 lap', '14'], ['régis laconi', 'aprilia', '22', 'accident', '17'], ['carlos checa', 'yamaha', '16', 'accident', '5'], ['jeremy mcwilliams', 'proton kr', '4', 'accident', '3'], ['shinya nakano', 'yamaha', '3', 'accident', '13'], ['tohru ukawa', 'honda', '1', 'accident', '9'], ['daijiro kato', 'honda', '0', 'accident', '6']] |
2008 - 09 guildford flames season | https://en.wikipedia.org/wiki/2008%E2%80%9309_Guildford_Flames_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17120964-9.html.csv | superlative | in the 2008-09 guildford flames season , the highest attendance was on the 19th . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '5', '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', 'attendance'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; attendance }'}, 'date'], 'result': '19th', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; attendance } ; date }'}, '19th'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; attendance } ; date } ; 19th } = true', 'tointer': 'select the row whose attendance record of all rows is maximum . the date record of this row is 19th .'} | eq { hop { argmax { all_rows ; attendance } ; date } ; 19th } = true | select the row whose attendance record of all rows is maximum . the date record of this row is 19th . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'attendance_5': 5, 'date_6': 6, '19th_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'attendance_5': 'attendance', 'date_6': 'date', '19th_7': '19th'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'attendance_5': [0], 'date_6': [1], '19th_7': [2]} | ['date', 'opponent', 'venue', 'result', 'attendance', 'competition', 'man of the match'] | [['1st', 'milton keynes lightning', 'home', 'won 5 - 4', '1336', 'league', 'terry miles'], ['8th', 'bracknell bees', 'away', 'won 4 - 3 ( ot )', 'n / a', 'league', 'ollie bronnimann'], ['14th', 'peterborough phantoms', 'away', 'won 4 - 2', '493', 'league', 'n / a'], ['15th', 'slough jets', 'home', 'lost 3 - 2', '1634', 'league', 'joe watkins'], ['19th', 'slough jets', 'home', 'drawn 1 - 1', '2057', 'cup semi - final ( 1st leg )', 'david savage'], ['21st', 'peterborough phantoms', 'home', 'won 5 - 3', '1551', 'league', 'ben austin'], ['22nd', 'sheffield scimitars', 'away', 'lost 5 - 4', '627', 'league', 'n / a'], ['25th', 'slough jets', 'away', 'won 4 - 2', '702', 'cup semi - final ( 2nd leg )', 'n / a'], ['28th', 'wightlink raiders', 'away', 'lost 3 - 2 ( so )', '582', 'league', 'stuart potts']] |
list of army wives episodes | https://en.wikipedia.org/wiki/List_of_Army_Wives_episodes | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11111116-6.html.csv | count | two of the episodes of army wives were directed by john t kretchmer . | {'scope': 'all', 'criterion': 'equal', 'value': 'john t kretchmer', 'result': '2', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'directed by', 'john t kretchmer'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose directed by record fuzzily matches to john t kretchmer .', 'tostr': 'filter_eq { all_rows ; directed by ; john t kretchmer }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; directed by ; john t kretchmer } }', 'tointer': 'select the rows whose directed by record fuzzily matches to john t kretchmer . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; directed by ; john t kretchmer } } ; 2 } = true', 'tointer': 'select the rows whose directed by record fuzzily matches to john t kretchmer . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; directed by ; john t kretchmer } } ; 2 } = true | select the rows whose directed by record fuzzily matches to john t kretchmer . 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, 'directed by_5': 5, 'john t kretchmer_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', 'directed by_5': 'directed by', 'john t kretchmer_6': 'john t kretchmer', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'directed by_5': [0], 'john t kretchmer_6': [0], '2_7': [2]} | ['no in season', 'no in series', 'title', 'directed by', 'written by', 'original air date', 'us viewers ( million )'] | [['1', '69', 'line of departure', 'john t kretchmer', 'debra fordham', 'march 6 , 2011', '4.2'], ['2', '70', 'command presence', 'carl lawrence ludwig', 'karen maser', 'march 13 , 2011', '3.3'], ['3', '71', 'movement to contact', 'john t kretchmer', 'rebecca dameron', 'march 20 , 2011', '3.8'], ['4', '72', 'on behalf of a grateful nation', 'john terlesky', 'tj brady & rasheed newson', 'march 27 , 2011', '4.7'], ['5', '73', 'soldier on', 'rob spera', 'bill rinier', 'april 3 , 2011', '3.3'], ['6', '74', 'walking wounded', 'chris peppe', 'james stanley', 'april 10 , 2011', '3.4'], ['7', '75', 'strategic alliances', 'melanie mayron', 'td mitchell', 'april 17 , 2011', '3.4'], ['8', '76', 'supporting arms', 'emile levisetti', 'mary leah sutton', 'may 1 , 2011', '3.1'], ['9', '77', 'countermeasures', 'james bruce', 'debra fordham', 'may 8 , 2011', '3.3'], ['10', '78', 'battle buddies', 'brian mcnamara', 'tanya biank', 'may 15 , 2011', '3.2'], ['11', '79', 'drop zone', 'rob spera', 'james stanley', 'may 22 , 2011', '3.6'], ['12', '80', 'firefight', 'john terlesky', 'rasheed newson', 'june 5 , 2011', '3.4']] |
1977 dallas cowboys season | https://en.wikipedia.org/wiki/1977_Dallas_Cowboys_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15847691-2.html.csv | comparative | more people attended the dallas cowboy 's game on september 25 than on september 18 . | {'row_1': '2', 'row_2': '1', 'col': '9', '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', 'date', 'september 25'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose date record fuzzily matches to september 25 .', 'tostr': 'filter_eq { all_rows ; date ; september 25 }'}, 'attendance'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; date ; september 25 } ; attendance }', 'tointer': 'select the rows whose date record fuzzily matches to september 25 . take the attendance record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'september 18'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose date record fuzzily matches to september 18 .', 'tostr': 'filter_eq { all_rows ; date ; september 18 }'}, 'attendance'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; date ; september 18 } ; attendance }', 'tointer': 'select the rows whose date record fuzzily matches to september 18 . take the attendance record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; date ; september 25 } ; attendance } ; hop { filter_eq { all_rows ; date ; september 18 } ; attendance } } = true', 'tointer': 'select the rows whose date record fuzzily matches to september 25 . take the attendance record of this row . select the rows whose date record fuzzily matches to september 18 . take the attendance record of this row . the first record is greater than the second record .'} | greater { hop { filter_eq { all_rows ; date ; september 25 } ; attendance } ; hop { filter_eq { all_rows ; date ; september 18 } ; attendance } } = true | select the rows whose date record fuzzily matches to september 25 . take the attendance record of this row . select the rows whose date record fuzzily matches to september 18 . 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, 'september 25_8': 8, 'attendance_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'date_11': 11, 'september 18_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', 'september 25_8': 'september 25', 'attendance_9': 'attendance', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'date_11': 'date', 'september 18_12': 'september 18', 'attendance_13': 'attendance'} | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'date_7': [0], 'september 25_8': [0], 'attendance_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'date_11': [1], 'september 18_12': [1], 'attendance_13': [3]} | ['week', 'date', 'result', 'record', 'opponent', 'points for', 'points against', 'first downs', 'attendance'] | [['1', 'september 18', 'win', '1 - 0', 'minnesota vikings', '16', '10', '16', '47678'], ['2', 'september 25', 'win', '2 - 0', 'new york giants', '41', '21', '25', '64215'], ['3', 'october 2', 'win', '3 - 0', 'tampa bay buccaneers', '23', '7', '23', '55316'], ['4', 'october 9', 'win', '4 - 0', 'st louis cardinals', '30', '24', '22', '50129'], ['5', 'october 16', 'win', '5 - 0', 'washington redskins', '34', '16', '23', '62115'], ['6', 'october 23', 'win', '6 - 0', 'philadelphia eagles', '16', '10', '17', '65507'], ['7', 'october 30', 'win', '7 - 0', 'detroit lions', '37', '0', '20', '63160'], ['8', 'november 6', 'win', '8 - 0', 'new york giants', '24', '10', '13', '74532'], ['9', 'november 14', 'loss', '8 - 1', 'st louis cardinals', '17', '24', '16', '64038'], ['10', 'november 20', 'loss', '8 - 2', 'pittsburgh steelers', '13', '28', '20', '49761'], ['11', 'november 27', 'win', '9 - 2', 'washington redskins', '14', '7', '19', '55031'], ['12', 'december 4', 'win', '10 - 2', 'philadelphia eagles', '24', '14', '19', '60289'], ['13', 'december 12', 'win', '11 - 2', 'san francisco 49ers', '42', '35', '24', '55851'], ['14', 'december 18', 'win', '12 - 2', 'denver broncos', '14', '6', '15', '63752']] |
united states house of representatives elections , 1986 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_1986 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341586-44.html.csv | count | two of the people that were voted to serve in the house of representatives in 1986 were originally elected in the 1950s . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': '195', 'result': '2', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'first elected', '195'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose first elected record fuzzily matches to 195 .', 'tostr': 'filter_eq { all_rows ; first elected ; 195 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; first elected ; 195 } }', 'tointer': 'select the rows whose first elected record fuzzily matches to 195 . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; first elected ; 195 } } ; 2 } = true', 'tointer': 'select the rows whose first elected record fuzzily matches to 195 . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; first elected ; 195 } } ; 2 } = true | select the rows whose first elected record fuzzily matches to 195 . 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, 'first elected_5': 5, '195_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', 'first elected_5': 'first elected', '195_6': '195', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'first elected_5': [0], '195_6': [0], '2_7': [2]} | ['district', 'incumbent', 'party', 'first elected', 'result', 'candidates'] | [['texas 1', 'jim chapman', 'democratic', '1985', 're - elected', 'jim chapman ( d ) unopposed'], ['texas 4', 'ralph hall', 'democratic', '1980', 're - elected', 'ralph hall ( d ) 71.7 % thomas blow ( r ) 28.3 %'], ['texas 6', 'joe barton', 'republican', '1984', 're - elected', 'joe barton ( r ) 55.8 % pete geren ( d ) 44.2 %'], ['texas 8', 'jack fields', 'republican', '1980', 're - elected', 'jack fields ( r ) 68.4 % blaine mann ( d ) 31.6 %'], ['texas 9', 'jack brooks', 'democratic', '1952', 're - elected', 'jack brooks ( d ) 61.5 % lisa d duperier ( r ) 38.5 %'], ['texas 11', 'marvin leath', 'democratic', '1978', 're - elected', 'marvin leath ( d ) unopposed'], ['texas 12', 'jim wright', 'democratic', '1954', 're - elected', 'jim wright ( d ) 68.7 % don mcneil ( r ) 31.3 %'], ['texas 13', 'beau boulter', 'republican', '1984', 're - elected', 'beau boulter ( r ) 64.9 % doug seal ( d ) 35.1 %'], ['texas 14', 'mac sweeney', 'republican', '1984', 're - elected', 'mac sweeney ( r ) 52.3 % greg laughlin ( d ) 47.7 %'], ['texas 15', 'kika de la garza', 'democratic', '1964', 're - elected', 'kika de la garza ( d ) unopposed'], ['texas 16', 'ronald d coleman', 'democratic', '1982', 're - elected', 'ronald d coleman ( d ) 65.7 % roy gillia ( r ) 34.3 %'], ['texas 17', 'charles stenholm', 'democratic', '1978', 're - elected', 'charles stenholm ( d ) unopposed'], ['texas 18', 'mickey leland', 'democratic', '1978', 're - elected', 'mickey leland ( d ) 90.2 % joanne kuniansky ( i ) 9.8 %'], ['texas 19', 'larry combest', 'republican', '1984', 're - elected', 'larry combest ( r ) 62.0 % gerald mccathern ( d ) 38.0 %'], ['texas 20', 'henry b gonzalez', 'democratic', '1961', 're - elected', 'henry b gonzalez ( d ) unopposed'], ['texas 22', 'tom delay', 'republican', '1984', 're - elected', 'tom delay ( r ) 71.8 % susan director ( d ) 28.2 %'], ['texas 23', 'albert bustamante', 'democratic', '1984', 're - elected', 'albert bustamante ( d ) 90.7 % ken hendrix ( l ) 9.3 %'], ['texas 24', 'martin frost', 'democratic', '1978', 're - elected', 'martin frost ( d ) 67.2 % bob burk ( r ) 32.8 %'], ['texas 25', 'michael a andrews', 'democratic', '1982', 're - elected', 'michael a andrews ( d ) unopposed'], ['texas 26', 'dick armey', 'republican', '1984', 're - elected', 'dick armey ( r ) 68.1 % george richardson ( d ) 31.9 %']] |
list of largest nordic companies | https://en.wikipedia.org/wiki/List_of_largest_Nordic_companies | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12794433-2.html.csv | superlative | with 27 , sweden set a record for the most top nordic companies to be located in one country in 2010 . | {'scope': 'all', 'col_superlative': '4', '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', '2010 - list'], 'result': '27', 'ind': 0, 'tostr': 'max { all_rows ; 2010 - list }', 'tointer': 'the maximum 2010 - list record of all rows is 27 .'}, '27'], 'result': True, 'ind': 1, 'tostr': 'eq { max { all_rows ; 2010 - list } ; 27 }', 'tointer': 'the maximum 2010 - list record of all rows is 27 .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', '2010 - list'], 'result': None, 'ind': 2, 'tostr': 'argmax { all_rows ; 2010 - list }'}, 'country'], 'result': 'sweden', 'ind': 3, 'tostr': 'hop { argmax { all_rows ; 2010 - list } ; country }'}, 'sweden'], 'result': True, 'ind': 4, 'tostr': 'eq { hop { argmax { all_rows ; 2010 - list } ; country } ; sweden }', 'tointer': 'the country record of the row with superlative 2010 - list record is sweden .'}], 'result': True, 'ind': 5, 'tostr': 'and { eq { max { all_rows ; 2010 - list } ; 27 } ; eq { hop { argmax { all_rows ; 2010 - list } ; country } ; sweden } } = true', 'tointer': 'the maximum 2010 - list record of all rows is 27 . the country record of the row with superlative 2010 - list record is sweden .'} | and { eq { max { all_rows ; 2010 - list } ; 27 } ; eq { hop { argmax { all_rows ; 2010 - list } ; country } ; sweden } } = true | the maximum 2010 - list record of all rows is 27 . the country record of the row with superlative 2010 - list record is sweden . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'max_0': 0, 'all_rows_7': 7, '2010 - list_8': 8, '27_9': 9, 'str_eq_4': 4, 'str_hop_3': 3, 'argmax_2': 2, 'all_rows_10': 10, '2010 - list_11': 11, 'country_12': 12, 'sweden_13': 13} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'max_0': 'max', 'all_rows_7': 'all_rows', '2010 - list_8': '2010 - list', '27_9': '27', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'argmax_2': 'argmax', 'all_rows_10': 'all_rows', '2010 - list_11': '2010 - list', 'country_12': 'country', 'sweden_13': 'sweden'} | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'max_0': [1], 'all_rows_7': [0], '2010 - list_8': [0], '27_9': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'argmax_2': [3], 'all_rows_10': [2], '2010 - list_11': [2], 'country_12': [3], 'sweden_13': [4]} | ['country', '2008 - list', '2009 - list', '2010 - list', '2011 - list', '2012 - list'] | [['sweden', '20', '22', '27', '22', '25'], ['finland', '16', '13', '11', '12', '12'], ['norway', '14', '9', '10', '10', '9'], ['denmark', '9', '12', '13', '10', '10'], ['iceland', '4', '0', '0', '0', '0']] |
wru division three east | https://en.wikipedia.org/wiki/WRU_Division_Three_East | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-12886178-5.html.csv | superlative | in the 2007/2008 wru division three east , brynmawr rfc has the highest number on winning games among teams with 0 drawns . | {'scope': 'subset', 'col_superlative': '3', 'row_superlative': '2', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': {'col': '4', 'criterion': 'equal', 'value': '0'}} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'drawn', '0'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; drawn ; 0 }', 'tointer': 'select the rows whose drawn record is equal to 0 .'}, 'won'], 'result': None, 'ind': 1, 'tostr': 'argmax { filter_eq { all_rows ; drawn ; 0 } ; won }'}, 'club'], 'result': 'brynmawr rfc', 'ind': 2, 'tostr': 'hop { argmax { filter_eq { all_rows ; drawn ; 0 } ; won } ; club }'}, 'brynmawr rfc'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { argmax { filter_eq { all_rows ; drawn ; 0 } ; won } ; club } ; brynmawr rfc } = true', 'tointer': 'select the rows whose drawn record is equal to 0 . select the row whose won record of these rows is maximum . the club record of this row is brynmawr rfc .'} | eq { hop { argmax { filter_eq { all_rows ; drawn ; 0 } ; won } ; club } ; brynmawr rfc } = true | select the rows whose drawn record is equal to 0 . select the row whose won record of these rows is maximum . the club record of this row is brynmawr rfc . | 4 | 4 | {'str_eq_3': 3, 'result_4': 4, 'str_hop_2': 2, 'argmax_1': 1, 'filter_eq_0': 0, 'all_rows_5': 5, 'drawn_6': 6, '0_7': 7, 'won_8': 8, 'club_9': 9, 'brynmawr rfc_10': 10} | {'str_eq_3': 'str_eq', 'result_4': 'true', 'str_hop_2': 'str_hop', 'argmax_1': 'argmax', 'filter_eq_0': 'filter_eq', 'all_rows_5': 'all_rows', 'drawn_6': 'drawn', '0_7': '0', 'won_8': 'won', 'club_9': 'club', 'brynmawr rfc_10': 'brynmawr rfc'} | {'str_eq_3': [4], 'result_4': [], 'str_hop_2': [3], 'argmax_1': [2], 'filter_eq_0': [1], 'all_rows_5': [0], 'drawn_6': [0], '0_7': [0], 'won_8': [1], 'club_9': [2], 'brynmawr rfc_10': [3]} | ['club', 'played', 'won', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'] | [['club', 'played', 'won', 'drawn', 'lost', 'points for', 'points against', 'tries for', 'tries against', 'try bonus', 'losing bonus', 'points'], ['brynmawr rfc', '22', '21', '0', '1', '650', '167', '90', '21', '12', '1', '97'], ['abergavenny rfc', '22', '19', '0', '3', '678', '255', '100', '31', '11', '1', '88'], ['garndiffaith rfc', '22', '15', '0', '7', '571', '470', '82', '60', '10', '2', '72'], ['croesyceiliog rfc', '22', '13', '1', '8', '515', '322', '76', '45', '10', '3', '67'], ['blaina rfc', '22', '12', '1', '9', '450', '363', '66', '44', '6', '4', '60'], ['pontypool united rfc', '22', '11', '0', '11', '500', '334', '60', '41', '6', '5', '55'], ['cwmbran rfc', '22', '10', '1', '11', '369', '344', '45', '45', '3', '4', '49'], ['rhymney rfc', '22', '9', '1', '12', '409', '450', '52', '63', '7', '3', '48'], ['nelson rfc', '22', '7', '0', '15', '416', '437', '59', '54', '3', '5', '36'], ['new tredegar rfc', '22', '6', '0', '16', '342', '542', '50', '77', '5', '3', '32'], ['senghenydd rfc', '22', '3', '1', '18', '293', '749', '35', '114', '1', '2', '17'], ['pontllanfraith rfc', '22', '3', '1', '18', '163', '923', '19', '139', '0', '2', '16']] |
sophie ferguson | https://en.wikipedia.org/wiki/Sophie_Ferguson | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15179071-2.html.csv | majority | sophie ferguson was a runner-up in most of the tournaments she played in . | {'scope': 'all', 'col': '1', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'runner-up', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'outcome', 'runner-up'], 'result': True, 'ind': 0, 'tointer': 'for the outcome records of all rows , most of them fuzzily match to runner-up .', 'tostr': 'most_eq { all_rows ; outcome ; runner-up } = true'} | most_eq { all_rows ; outcome ; runner-up } = true | for the outcome records of all rows , most of them fuzzily match to runner-up . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'outcome_3': 3, 'runner-up_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'outcome_3': 'outcome', 'runner-up_4': 'runner-up'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'outcome_3': [0], 'runner-up_4': [0]} | ['outcome', 'date', 'tournament', 'surface', 'opponent in the final', 'score'] | [['runner - up', '16 may 2004', 'karuizawa , japan', 'carpet', 'wynne prakusya', '3 - 6 2 - 6'], ['runner - up', '19 february 2006', 'sydney , australia', 'hard', 'jarmila gajdošová', '4 - 6 6 - 3 6 - 7 ( 3 )'], ['runner - up', '26 march 2006', 'melbourne , australia', 'clay', 'yung - jan chan', '3 - 6 6 - 7 ( 4 )'], ['winner', '5 august 2007', 'obihiro , japan', 'carpet', 'ayumi morita', '6 - 4 6 - 3'], ['winner', '13 september 2007', 'tokyo , japan', 'hard', 'zhao yi - jing', '6 - 2 6 - 4'], ['runner - up', '14 october 2007', 'rockhampton , australia', 'hard', 'marina erakovic', '6 - 7 ( 5 ) 5 - 7'], ['runner - up', '21 october 2007', 'gympie , australia', 'hard', 'marina erakovic', '6 - 4 4 - 6 6 - 7 ( 5 )'], ['runner - up', '29 march 2009', 'hammond , louisiana , usa', 'hard', 'kristie ahn', '6 - 0 4 - 6 4 - 6'], ['runner - up', '27 june 2009', 'périgueux , france', 'clay', 'julia vakulenko', '2 - 6 5 - 7'], ['winner', '16 august 2009', 'quanzhou , china', 'hard', 'yung - jan chan', '6 - 3 6 - 1'], ['runner - up', '21 march 2010', 'fort walton beach , florida , usa', 'hard', 'chanelle scheepers', '5 - 7 5 - 7'], ['runner - up', '10 july 2010', 'biarritz , france', 'clay', 'julia görges', '2 - 6 2 - 6']] |
sucker punch productions | https://en.wikipedia.org/wiki/Sucker_Punch_Productions | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1804018-1.html.csv | superlative | the game that received the highest score from metacritic was sly 2 . | {'scope': 'all', 'col_superlative': '5', 'row_superlative': '3', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'metacritic'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; metacritic }'}, 'game title'], 'result': 'sly 2 : band of thieves', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; metacritic } ; game title }'}, 'sly 2 : band of thieves'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; metacritic } ; game title } ; sly 2 : band of thieves } = true', 'tointer': 'select the row whose metacritic record of all rows is maximum . the game title record of this row is sly 2 : band of thieves .'} | eq { hop { argmax { all_rows ; metacritic } ; game title } ; sly 2 : band of thieves } = true | select the row whose metacritic record of all rows is maximum . the game title record of this row is sly 2 : band of thieves . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'metacritic_5': 5, 'game title_6': 6, 'sly 2: band of thieves_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'metacritic_5': 'metacritic', 'game title_6': 'game title', 'sly 2: band of thieves_7': 'sly 2 : band of thieves'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'metacritic_5': [0], 'game title_6': [1], 'sly 2: band of thieves_7': [2]} | ['game title', 'year released', 'platform', 'gamerankings', 'metacritic'] | [['rocket : robot on wheels', '1999', 'nintendo 64', '81.32 %', 'n / a'], ['sly cooper and the thievius raccoonus', '2002', 'playstation 2', '85.23 %', '86 / 100'], ['sly 2 : band of thieves', '2004', 'playstation 2', '87.92 %', '88 / 100'], ['sly 3 : honor among thieves', '2005', 'playstation 2', '84.18 %', '83 / 100'], ['infamous', '2009', 'playstation 3', '86.31 %', '85 / 100'], ['the sly collection', '2010', 'playstation 3', '87.43 %', '85 / 100'], ['infamous 2', '2011', 'playstation 3', '84.44 %', '83 / 100'], ['infamous : festival of blood', '2011', 'playstation network', '79.89 %', '78 / 100'], ['infamous : second son', '2014', 'playstation 4', 'pending', 'pending']] |
administrative division of congress poland | https://en.wikipedia.org/wiki/Administrative_division_of_Congress_Poland | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11614581-3.html.csv | superlative | warsaw governorate had the highest population among administrative regions of poland congress from 1893 to 1912 . | {'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', 'population , in thousands , ( 1905 )'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; population , in thousands , ( 1905 ) }'}, 'governorate'], 'result': 'warsaw governorate', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; population , in thousands , ( 1905 ) } ; governorate }'}, 'warsaw governorate'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; population , in thousands , ( 1905 ) } ; governorate } ; warsaw governorate } = true', 'tointer': 'select the row whose population , in thousands , ( 1905 ) record of all rows is maximum . the governorate record of this row is warsaw governorate .'} | eq { hop { argmax { all_rows ; population , in thousands , ( 1905 ) } ; governorate } ; warsaw governorate } = true | select the row whose population , in thousands , ( 1905 ) record of all rows is maximum . the governorate record of this row is warsaw governorate . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'population , in thousands , ( 1905 )_5': 5, 'governorate_6': 6, 'warsaw governorate_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'population , in thousands , ( 1905 )_5': 'population , in thousands , ( 1905 )', 'governorate_6': 'governorate', 'warsaw governorate_7': 'warsaw governorate'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'population , in thousands , ( 1905 )_5': [0], 'governorate_6': [1], 'warsaw governorate_7': [2]} | ['governorate', 'name in russian', 'name in polish', 'seat', 'area , in thousands of km 2', 'population , in thousands , ( 1905 )'] | [['warsaw governorate', 'варшавская губерния', 'gubernia warszawska', 'warszawa', '176', '2233'], ['kalisz governorate', 'калишская губерния', 'gubernia kaliska', 'kalisz', '113', '964'], ['kielce governorate', 'келецкая губерния', 'gubernia kielecka', 'kielce', '102', '899'], ['łomża governorate', 'ломжинская губерния', 'gubernia lubelska', 'łomża', '106', '645'], ['lublin governorate', 'люблинская губерния', 'gubernia łomżyńska', 'lublin', '169', '1341'], ['piotrków governorate', 'петроковская губерния', 'gubernia piotrkowska', 'piotrków', '122', '1640'], ['płock governorate', 'плоцкая губерния', 'gubernia płocka', 'płock', '94', '613'], ['radom governorate', 'радомская губерния', 'gubernia radomska', 'radom', '124', '917'], ['siedlce governorate', 'седлецкая губерния', 'gubernia siedlecka', 'siedlce', '143', '894']] |
united states house of representatives elections , 2000 | https://en.wikipedia.org/wiki/United_States_House_of_Representatives_elections%2C_2000 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-1341423-20.html.csv | ordinal | elijah cummings won the second highest percent of the vote of any candidate . | {'row': '7', 'col': '6', 'order': '2', 'col_other': '2', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'candidates', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; candidates ; 2 }'}, 'incumbent'], 'result': 'elijah cummings', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; candidates ; 2 } ; incumbent }'}, 'elijah cummings'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; candidates ; 2 } ; incumbent } ; elijah cummings } = true', 'tointer': 'select the row whose candidates record of all rows is 2nd maximum . the incumbent record of this row is elijah cummings .'} | eq { hop { nth_argmax { all_rows ; candidates ; 2 } ; incumbent } ; elijah cummings } = true | select the row whose candidates record of all rows is 2nd maximum . the incumbent record of this row is elijah cummings . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'candidates_5': 5, '2_6': 6, 'incumbent_7': 7, 'elijah cummings_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', 'candidates_5': 'candidates', '2_6': '2', 'incumbent_7': 'incumbent', 'elijah cummings_8': 'elijah cummings'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'candidates_5': [0], '2_6': [0], 'incumbent_7': [1], 'elijah cummings_8': [2]} | ['district', 'incumbent', 'party', 'first elected', 'results', 'candidates'] | [['maryland 1', 'wayne gilchrest', 'republican', '1990', 're - elected', 'wayne gilchrest ( r ) 64 % bennett bozman ( d ) 36 %'], ['maryland 2', 'robert ehrlich', 'republican', '1994', 're - elected', 'robert ehrlich ( r ) 69 % kenneth bosley ( d ) 31 %'], ['maryland 3', 'ben cardin', 'democratic', '1986', 're - elected', 'ben cardin ( d ) 76 % colin harby ( r ) 24 %'], ['maryland 4', 'albert wynn', 'democratic', '1992', 're - elected', 'albert wynn ( d ) 88 % john kimble ( r ) 12 %'], ['maryland 5', 'steny hoyer', 'democratic', '1981', 're - elected', 'steny hoyer ( d ) 65 % thomas hutchins ( r ) 35 %'], ['maryland 6', 'roscoe bartlett', 'republican', '1992', 're - elected', 'roscoe bartlett ( r ) 61 % donald dearmon ( d ) 39 %'], ['maryland 7', 'elijah cummings', 'democratic', '1996', 're - elected', 'elijah cummings ( d ) 87 % kenneth kondner ( r ) 13 %']] |
rajgarh ( lok sabha constituency ) | https://en.wikipedia.org/wiki/Rajgarh_%28Lok_Sabha_constituency%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18517323-1.html.csv | unique | susner is the only constituent representing the shajapur district in the rajgarh ( lok sabha constituency ) . | {'scope': 'all', 'row': '8', 'col': '4', 'col_other': '2', 'criterion': 'equal', 'value': 'shajapur', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'district', 'shajapur'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose district record fuzzily matches to shajapur .', 'tostr': 'filter_eq { all_rows ; district ; shajapur }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; district ; shajapur } }', 'tointer': 'select the rows whose district record fuzzily matches to shajapur . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'district', 'shajapur'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose district record fuzzily matches to shajapur .', 'tostr': 'filter_eq { all_rows ; district ; shajapur }'}, 'name'], 'result': 'susner', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; district ; shajapur } ; name }'}, 'susner'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; district ; shajapur } ; name } ; susner }', 'tointer': 'the name record of this unqiue row is susner .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; district ; shajapur } } ; eq { hop { filter_eq { all_rows ; district ; shajapur } ; name } ; susner } } = true', 'tointer': 'select the rows whose district record fuzzily matches to shajapur . there is only one such row in the table . the name record of this unqiue row is susner .'} | and { only { filter_eq { all_rows ; district ; shajapur } } ; eq { hop { filter_eq { all_rows ; district ; shajapur } ; name } ; susner } } = true | select the rows whose district record fuzzily matches to shajapur . there is only one such row in the table . the name record of this unqiue row is susner . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'district_7': 7, 'shajapur_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'susner_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'district_7': 'district', 'shajapur_8': 'shajapur', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'susner_10': 'susner'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'district_7': [0], 'shajapur_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'susner_10': [3]} | ['constituency number', 'name', 'reserved for ( sc / st / none )', 'district', 'number of electorates ( 2009 )'] | [['30', 'chachoura', 'none', 'guna', '149857'], ['31', 'raghogarh', 'none', 'guna', '146874'], ['160', 'narsinghgarh', 'none', 'rajgarh', '162429'], ['161', 'biaora', 'none', 'rajgarh', '162340'], ['162', 'rajgarh', 'none', 'rajgarh', '161219'], ['163', 'khilchipur', 'none', 'rajgarh', '169412'], ['164', 'sarangpur', 'sc', 'rajgarh', '140001'], ['165', 'susner', 'none', 'shajapur', '169378']] |
1996 - 97 segunda división | https://en.wikipedia.org/wiki/1996%E2%80%9397_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12090729-2.html.csv | ordinal | ud salamanca had the second highest points among the 1996-97 segunda division . | {'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': 'ud salamanca', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; points ; 2 } ; club }'}, 'ud salamanca'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; points ; 2 } ; club } ; ud salamanca } = true', 'tointer': 'select the row whose points record of all rows is 2nd maximum . the club record of this row is ud salamanca .'} | eq { hop { nth_argmax { all_rows ; points ; 2 } ; club } ; ud salamanca } = true | select the row whose points record of all rows is 2nd maximum . the club record of this row is ud salamanca . | 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, 'ud salamanca_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', 'ud salamanca_8': 'ud salamanca'} | {'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], 'ud salamanca_8': [2]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'cp mérida', '38', '72', '21', '9', '8', '57', '35', '+ 22'], ['2', 'ud salamanca', '38', '71', '20', '11', '7', '72', '33', '+ 39'], ['3', 'rcd mallorca', '38', '70', '20', '10', '8', '59', '38', '+ 21'], ['4', 'albacete', '38', '66', '19', '9', '10', '51', '32', '+ 19'], ['5', 'sd eibar', '38', '66', '17', '15', '6', '44', '26', '+ 18'], ['6', 'cd badajoz', '38', '60', '15', '15', '8', '38', '26', '+ 12'], ['7', 'ud las palmas', '38', '52', '13', '13', '12', '54', '46', '+ 8'], ['8', 'cd leganés', '38', '52', '13', '13', '12', '43', '39', '+ 4'], ['9', 'levante ud', '38', '50', '13', '11', '14', '53', '46', '+ 7'], ['10', 'villarreal cf', '38', '48', '13', '9', '16', '38', '52', '- 14'], ['11', 'ue lleida', '38', '48', '12', '12', '14', '48', '41', '+ 7'], ['12', 'atlético de madrid b', '38', '47', '12', '11', '15', '57', '61', '- 4'], ['13', 'deportivo alavés', '38', '47', '12', '11', '15', '43', '47', '- 4'], ['14', 'cd toledo', '38', '45', '12', '9', '17', '37', '53', '- 16'], ['15', 'cd ourense', '38', '44', '11', '11', '16', '35', '46', '- 11'], ['16', 'ca osasuna', '38', '44', '11', '11', '16', '34', '42', '- 8'], ['17', 'almería cf', '38', '41', '9', '14', '15', '40', '51', '- 11'], ['18', 'real madrid b', '38', '41', '11', '8', '19', '40', '69', '- 29'], ['19', 'barcelona b', '38', '34', '7', '13', '18', '40', '63', '- 23'], ['20', 'écija', '38', '30', '7', '9', '22', '27', '64', '- 37']] |
athletics at the 1956 summer olympics - men 's long jump | https://en.wikipedia.org/wiki/Athletics_at_the_1956_Summer_Olympics_%E2%80%93_Men%27s_long_jump | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10676139-2.html.csv | ordinal | dmitriy bondarenko recorded the second highest jump 1 in the 1956 summer olympics - men 's long jump . | {'row': '4', 'col': '2', 'order': '2', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'jump 1', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; jump 1 ; 2 }'}, 'athlete name'], 'result': 'dmitriy bondarenko ( urs )', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; jump 1 ; 2 } ; athlete name }'}, 'dmitriy bondarenko ( urs )'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; jump 1 ; 2 } ; athlete name } ; dmitriy bondarenko ( urs ) } = true', 'tointer': 'select the row whose jump 1 record of all rows is 2nd maximum . the athlete name record of this row is dmitriy bondarenko ( urs ) .'} | eq { hop { nth_argmax { all_rows ; jump 1 ; 2 } ; athlete name } ; dmitriy bondarenko ( urs ) } = true | select the row whose jump 1 record of all rows is 2nd maximum . the athlete name record of this row is dmitriy bondarenko ( urs ) . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'jump 1_5': 5, '2_6': 6, 'athlete name_7': 7, 'dmitriy bondarenko ( urs )_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', 'jump 1_5': 'jump 1', '2_6': '2', 'athlete name_7': 'athlete name', 'dmitriy bondarenko ( urs )_8': 'dmitriy bondarenko ( urs )'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'jump 1_5': [0], '2_6': [0], 'athlete name_7': [1], 'dmitriy bondarenko ( urs )_8': [2]} | ['athlete name', 'jump 1', 'jump 2', 'jump 3', 'best jump'] | [['gregory bell ( usa )', '6.98', '7.83', '7.77', '7.83 m'], ['john bennett ( usa )', '7.68', '7.61', 'x', '7.68 m'], ['jorma valkama ( fin )', '7.11', 'x', '7.48', '7.48 m'], ['dmitriy bondarenko ( urs )', '7.44', 'x', '7.13', '7.44 m'], ['karim olowu ( ngr )', '7.28', '6.77', '7.36', '7.36 m'], ['kazimierz kropidlowski ( pol )', '7.27', '6.92', '7.30', '7.30 m'], ['neville price ( rsa )', 'x', '7.28', 'x', '7.28 m'], ['oleg fyodoseyev ( urs )', 'x', '7.25', '7.27', '7.27 m'], ['arthur gruttenden ( gbr )', '7.15', 'x', '6.96', '7.15 m'], ['henryk grabowski ( pol )', 'x', 'x', '7.15', '7.15 m'], ['ken wilmshurst ( gbr )', '7.14', '7.06', '7.05', '7.14 m'], ['fermã\xadn donazar ( uru )', 'x', 'x', '6.57', '6.57 m'], ['igor ter - ovanesian ( urs )', 'x', 'x', 'x', 'no mark']] |
euroleague 2007 - 08 individual statistics | https://en.wikipedia.org/wiki/Euroleague_2007%E2%80%9308_Individual_Statistics | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16050349-9.html.csv | unique | terrell mcintyre is the only player in the euroleague that has 10 assists . | {'scope': 'all', 'row': '4', 'col': '5', 'col_other': '2', 'criterion': 'equal', 'value': '10', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'assists', '10'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose assists record is equal to 10 .', 'tostr': 'filter_eq { all_rows ; assists ; 10 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; assists ; 10 } }', 'tointer': 'select the rows whose assists record is equal to 10 . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'assists', '10'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose assists record is equal to 10 .', 'tostr': 'filter_eq { all_rows ; assists ; 10 }'}, 'name'], 'result': 'terrell mcintyre', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; assists ; 10 } ; name }'}, 'terrell mcintyre'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; assists ; 10 } ; name } ; terrell mcintyre }', 'tointer': 'the name record of this unqiue row is terrell mcintyre .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; assists ; 10 } } ; eq { hop { filter_eq { all_rows ; assists ; 10 } ; name } ; terrell mcintyre } } = true', 'tointer': 'select the rows whose assists record is equal to 10 . there is only one such row in the table . the name record of this unqiue row is terrell mcintyre .'} | and { only { filter_eq { all_rows ; assists ; 10 } } ; eq { hop { filter_eq { all_rows ; assists ; 10 } ; name } ; terrell mcintyre } } = true | select the rows whose assists record is equal to 10 . there is only one such row in the table . the name record of this unqiue row is terrell mcintyre . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_eq_0': 0, 'all_rows_6': 6, 'assists_7': 7, '10_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'terrell mcintyre_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_eq_0': 'filter_eq', 'all_rows_6': 'all_rows', 'assists_7': 'assists', '10_8': '10', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'terrell mcintyre_10': 'terrell mcintyre'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_eq_0': [1, 2], 'all_rows_6': [0], 'assists_7': [0], '10_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'terrell mcintyre_10': [3]} | ['rank', 'name', 'team', 'games', 'assists'] | [['1', 'yotam halperin', 'maccabi tel aviv', '3', '16'], ['2', 'theodoros papaloukas', 'cska moscow', '3', '15'], ['2', 'lynn greer', 'olympiacos', '3', '15'], ['4', 'terrell mcintyre', 'montepaschi siena', '2', '10'], ['5', 'bootsy thornton', 'montepaschi siena', '2', '8']] |
south maitland railway | https://en.wikipedia.org/wiki/South_Maitland_Railway | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11129881-3.html.csv | aggregation | the average number of builders on the beyer peacock & co at the south maitland railway is 3442 . | {'scope': 'subset', 'col': '4', 'type': 'average', 'result': '3442', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'beyer peacock & co'}} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'builder', 'beyer peacock & co'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; builder ; beyer peacock & co }', 'tointer': 'select the rows whose builder record fuzzily matches to beyer peacock & co .'}, "builder 's no"], 'result': '3442', 'ind': 1, 'tostr': "avg { filter_eq { all_rows ; builder ; beyer peacock & co } ; builder 's no }"}, '3442'], 'result': True, 'ind': 2, 'tostr': "round_eq { avg { filter_eq { all_rows ; builder ; beyer peacock & co } ; builder 's no } ; 3442 } = true", 'tointer': "select the rows whose builder record fuzzily matches to beyer peacock & co . the average of the builder 's no record of these rows is 3442 ."} | round_eq { avg { filter_eq { all_rows ; builder ; beyer peacock & co } ; builder 's no } ; 3442 } = true | select the rows whose builder record fuzzily matches to beyer peacock & co . the average of the builder 's no record of these rows is 3442 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'avg_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'builder_5': 5, 'beyer peacock & co_6': 6, "builder 's no_7": 7, '3442_8': 8} | {'eq_2': 'eq', 'result_3': 'true', 'avg_1': 'avg', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'builder_5': 'builder', 'beyer peacock & co_6': 'beyer peacock & co', "builder 's no_7": "builder 's no", '3442_8': '3442'} | {'eq_2': [3], 'result_3': [], 'avg_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'builder_5': [0], 'beyer peacock & co_6': [0], "builder 's no_7": [1], '3442_8': [2]} | ['locomotive', 'type', 'builder', "builder 's no", 'built', 'entered service', 'withdrawn'] | [['2', '0 - 6 - 0st', 'beyer peacock & co', '2575', '1884', '1884', '1938'], ['3', '0 - 6 - 0st', 'beyer peacock & co', '4558', '1903', '1903', '1920'], ['62xx', '0 - 6 - 0', 'robert stephenson and company', '2195', '1874', '1903', '1927'], ['2020', '2 - 6 - 4t', 'beyer peacock & co', '3206', '1891', '1834', '1955'], ['2017', '2 - 6 - 4t', 'beyer peacock & co', '3289', '1891', '1939', '1956'], ['1', '2 - 6 - 2t', 'robert stephenson and hawthorns', 'e7841', '1955', '1955', '1967'], ['j & a brown 26', '2 - 6 - 4t', 'beyer peacock & co', '2567', '1885', '1967', '1967'], ['3013', '4 - 6 - 4t', 'beyer peacock & co', '4456', '1903', '1967', '1976']] |
lehigh valley | https://en.wikipedia.org/wiki/Lehigh_Valley | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1165886-2.html.csv | aggregation | there was a total of 1 championship won in lehigh valley . | {'scope': 'all', 'col': '6', 'type': 'sum', 'result': '1', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'championships'], 'result': '1', 'ind': 0, 'tostr': 'sum { all_rows ; championships }'}, '1'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; championships } ; 1 } = true', 'tointer': 'the sum of the championships record of all rows is 1 .'} | round_eq { sum { all_rows ; championships } ; 1 } = true | the sum of the championships record of all rows is 1 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'championships_4': 4, '1_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'championships_4': 'championships', '1_5': '1'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'championships_4': [0], '1_5': [1]} | ['club', 'league', 'sport', 'venue', 'established', 'championships'] | [['lehigh valley storm', 'bneff', 'football', 'j birney crum stadium', '2010', '0'], ['lehigh valley ironpigs', 'il', 'baseball', 'coca - cola park', '2008', '0'], ['lehigh valley steelhawks', 'ifl', 'indoor football', 'stabler arena', '2011', '0'], ['fc sonic lehigh valley', 'npsl', 'soccer', "lehigh university 's ulrich sports complex", '2009', '0'], ['northampton laurels fc', 'wpsl', 'soccer', 'j birney crum stadium', '2005', '0'], ['pennsylvania stoners', 'npsl', 'soccer', 'j birney crum stadium', '1979', '1 ( 1980 )'], ['lehigh valley cricket club', 'pcl', 'cricket', 'lehigh valley velodrome', '1995', '0']] |
list of list a cricket records | https://en.wikipedia.org/wiki/List_of_List_A_cricket_records | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11303072-5.html.csv | comparative | tim curtis and tom moody scored more runs in cricket than chris read and andrew harris . | {'row_1': '3', 'row_2': '9', 'col': '2', 'col_other': '3', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'batting partners', 'tim curtis and tom moody'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose batting partners record fuzzily matches to tim curtis and tom moody .', 'tostr': 'filter_eq { all_rows ; batting partners ; tim curtis and tom moody }'}, 'runs'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; batting partners ; tim curtis and tom moody } ; runs }', 'tointer': 'select the rows whose batting partners record fuzzily matches to tim curtis and tom moody . take the runs record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'batting partners', 'chris read and andrew harris'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose batting partners record fuzzily matches to chris read and andrew harris .', 'tostr': 'filter_eq { all_rows ; batting partners ; chris read and andrew harris }'}, 'runs'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; batting partners ; chris read and andrew harris } ; runs }', 'tointer': 'select the rows whose batting partners record fuzzily matches to chris read and andrew harris . take the runs record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; batting partners ; tim curtis and tom moody } ; runs } ; hop { filter_eq { all_rows ; batting partners ; chris read and andrew harris } ; runs } } = true', 'tointer': 'select the rows whose batting partners record fuzzily matches to tim curtis and tom moody . take the runs record of this row . select the rows whose batting partners record fuzzily matches to chris read and andrew harris . take the runs record of this row . the first record is greater than the second record .'} | greater { hop { filter_eq { all_rows ; batting partners ; tim curtis and tom moody } ; runs } ; hop { filter_eq { all_rows ; batting partners ; chris read and andrew harris } ; runs } } = true | select the rows whose batting partners record fuzzily matches to tim curtis and tom moody . take the runs record of this row . select the rows whose batting partners record fuzzily matches to chris read and andrew harris . take the runs 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, 'batting partners_7': 7, 'tim curtis and tom moody_8': 8, 'runs_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'batting partners_11': 11, 'chris read and andrew harris_12': 12, 'runs_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', 'batting partners_7': 'batting partners', 'tim curtis and tom moody_8': 'tim curtis and tom moody', 'runs_9': 'runs', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'batting partners_11': 'batting partners', 'chris read and andrew harris_12': 'chris read and andrew harris', 'runs_13': 'runs'} | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'batting partners_7': [0], 'tim curtis and tom moody_8': [0], 'runs_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'batting partners_11': [1], 'chris read and andrew harris_12': [1], 'runs_13': [3]} | ['wicket', 'runs', 'batting partners', 'batting team', 'fielding team', 'venue', 'season'] | [['1st', '326', 'ghulam ali and sohail jaffar', 'pakistan international airlines', 'agriculture development bank', 'jinnah stadium , sialkot', '2000 - 01'], ['2nd', '331', 'sachin tendulkar and rahul dravid', 'india', 'new zealand', 'lal bahadur shastri stadium , hyderabad', '1999 - 00'], ['3rd', '309', 'tim curtis and tom moody', 'worcestershire', 'surrey', 'the oval , london', '1994'], ['4th', '276', 'mominul haque and roshen silva', 'prime doleshwar', 'abahani limited', 'shaheed chandu stadium , bogra', '2013 - 14'], ['5th', '267', 'minhajul abedin and khaled mahmud', 'bangladesh', 'bahawalpur', 'united bank limited sports complex , karachi', '1997 - 98'], ['6th', '226', 'nigel llong and matthew fleming', 'kent', 'cheshire', 'south downs road , bowdon', '1999'], ['7th', '203', 'thilina kandamby and rangana herath', 'sri lanka a', 'south africa a', 'willowmoore park , benoni', '2008'], ['8th', '203', 'shahid iqbal and haaris ayaz', 'karachi whites', 'hyderabad', 'united bank limited sports complex , karachi', '1998 - 99'], ['9th', '155', 'chris read and andrew harris', 'nottinghamshire', 'durham', 'trent bridge , nottingham', '2006']] |
ko jeong - woon | https://en.wikipedia.org/wiki/Ko_Jeong-Woon | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11860857-3.html.csv | majority | in all of ko jeong-woon 's competitions , he had one goal scored . | {'scope': 'all', 'col': '3', 'most_or_all': 'all', 'criterion': 'equal', 'value': '1 goal', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'score', '1 goal'], 'result': True, 'ind': 0, 'tointer': 'for the score records of all rows , all of them fuzzily match to 1 goal .', 'tostr': 'all_eq { all_rows ; score ; 1 goal } = true'} | all_eq { all_rows ; score ; 1 goal } = true | for the score records of all rows , all of them fuzzily match to 1 goal . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'score_3': 3, '1 goal_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'score_3': 'score', '1 goal_4': '1 goal'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'score_3': [0], '1 goal_4': [0]} | ['date', 'venue', 'score', 'result', 'competition'] | [['september 23 , 1990', 'beijing', '1 goal', '7 - 0', '1990 asian games'], ['june 9 , 1991', 'seoul', '1 goal', '3 - 0', "1991 president 's cup"], ['october 16 , 1993', 'doha', '1 goal', '3 - 0', '1994 fifa world cup qualification'], ['october 28 , 1993', 'doha', '1 goal', '3 - 0', '1994 fifa world cup qualification'], ['june 11 , 1994', 'duncanville', '1 goal', '3 - 0', 'friendly match'], ['october 1 , 1994', 'hiroshima', '1 goal', '11 - 0', '1994 asian games'], ['march 23 , 1996', 'dubai', '1 goal', '2 - 2', '1996 emarate cup'], ['december 7 , 1996', 'abu dhabi', '1 goal', '4 - 2', '1996 afc asian cup'], ['october 18 , 1997', 'tashkent', '1 goal', '5 - 1', '1998 fifa world cup qualification']] |
television in thailand | https://en.wikipedia.org/wiki/Television_in_Thailand | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18987481-2.html.csv | comparative | being a 24 hour station , channel 3 has a longer broadcast hour than thai pbs . | {'row_1': '1', 'row_2': '6', 'col': '8', 'col_other': '1', 'relation': 'greater', 'record_mentioned': 'yes', 'diff_result': None} | {'func': 'and', 'args': [{'func': 'greater', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'name', 'channel 3'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose name record fuzzily matches to channel 3 .', 'tostr': 'filter_eq { all_rows ; name ; channel 3 }'}, 'broadcasting hours'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; name ; channel 3 } ; broadcasting hours }', 'tointer': 'select the rows whose name record fuzzily matches to channel 3 . take the broadcasting hours record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'name', 'thai pbs'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose name record fuzzily matches to thai pbs .', 'tostr': 'filter_eq { all_rows ; name ; thai pbs }'}, 'broadcasting hours'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; name ; thai pbs } ; broadcasting hours }', 'tointer': 'select the rows whose name record fuzzily matches to thai pbs . take the broadcasting hours record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; name ; channel 3 } ; broadcasting hours } ; hop { filter_eq { all_rows ; name ; thai pbs } ; broadcasting hours } }', 'tointer': 'select the rows whose name record fuzzily matches to channel 3 . take the broadcasting hours record of this row . select the rows whose name record fuzzily matches to thai pbs . take the broadcasting hours record of this row . the first record is greater than the second record .'}, {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'name', 'channel 3'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose name record fuzzily matches to channel 3 .', 'tostr': 'filter_eq { all_rows ; name ; channel 3 }'}, 'broadcasting hours'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; name ; channel 3 } ; broadcasting hours }', 'tointer': 'select the rows whose name record fuzzily matches to channel 3 . take the broadcasting hours record of this row .'}, '24 - hours'], 'result': True, 'ind': 5, 'tostr': 'eq { hop { filter_eq { all_rows ; name ; channel 3 } ; broadcasting hours } ; 24 - hours }', 'tointer': 'the broadcasting hours record of the first row is 24 - hours .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'name', 'thai pbs'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose name record fuzzily matches to thai pbs .', 'tostr': 'filter_eq { all_rows ; name ; thai pbs }'}, 'broadcasting hours'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; name ; thai pbs } ; broadcasting hours }', 'tointer': 'select the rows whose name record fuzzily matches to thai pbs . take the broadcasting hours record of this row .'}, '21 - hours ( 5:00 am - 2:00 am )'], 'result': True, 'ind': 6, 'tostr': 'eq { hop { filter_eq { all_rows ; name ; thai pbs } ; broadcasting hours } ; 21 - hours ( 5:00 am - 2:00 am ) }', 'tointer': 'the broadcasting hours record of the second row is 21 - hours ( 5:00 am - 2:00 am ) .'}], 'result': True, 'ind': 7, 'tostr': 'and { eq { hop { filter_eq { all_rows ; name ; channel 3 } ; broadcasting hours } ; 24 - hours } ; eq { hop { filter_eq { all_rows ; name ; thai pbs } ; broadcasting hours } ; 21 - hours ( 5:00 am - 2:00 am ) } }', 'tointer': 'the broadcasting hours record of the first row is 24 - hours . the broadcasting hours record of the second row is 21 - hours ( 5:00 am - 2:00 am ) .'}], 'result': True, 'ind': 8, 'tostr': 'and { greater { hop { filter_eq { all_rows ; name ; channel 3 } ; broadcasting hours } ; hop { filter_eq { all_rows ; name ; thai pbs } ; broadcasting hours } } ; and { eq { hop { filter_eq { all_rows ; name ; channel 3 } ; broadcasting hours } ; 24 - hours } ; eq { hop { filter_eq { all_rows ; name ; thai pbs } ; broadcasting hours } ; 21 - hours ( 5:00 am - 2:00 am ) } } } = true', 'tointer': 'select the rows whose name record fuzzily matches to channel 3 . take the broadcasting hours record of this row . select the rows whose name record fuzzily matches to thai pbs . take the broadcasting hours record of this row . the first record is greater than the second record . the broadcasting hours record of the first row is 24 - hours . the broadcasting hours record of the second row is 21 - hours ( 5:00 am - 2:00 am ) .'} | and { greater { hop { filter_eq { all_rows ; name ; channel 3 } ; broadcasting hours } ; hop { filter_eq { all_rows ; name ; thai pbs } ; broadcasting hours } } ; and { eq { hop { filter_eq { all_rows ; name ; channel 3 } ; broadcasting hours } ; 24 - hours } ; eq { hop { filter_eq { all_rows ; name ; thai pbs } ; broadcasting hours } ; 21 - hours ( 5:00 am - 2:00 am ) } } } = true | select the rows whose name record fuzzily matches to channel 3 . take the broadcasting hours record of this row . select the rows whose name record fuzzily matches to thai pbs . take the broadcasting hours record of this row . the first record is greater than the second record . the broadcasting hours record of the first row is 24 - hours . the broadcasting hours record of the second row is 21 - hours ( 5:00 am - 2:00 am ) . | 13 | 9 | {'and_8': 8, 'result_9': 9, 'greater_4': 4, 'str_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_10': 10, 'name_11': 11, 'channel 3_12': 12, 'broadcasting hours_13': 13, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_14': 14, 'name_15': 15, 'thai pbs_16': 16, 'broadcasting hours_17': 17, 'and_7': 7, 'str_eq_5': 5, '24 - hours_18': 18, 'str_eq_6': 6, '21 - hours (5:00 am - 2:00 am)_19': 19} | {'and_8': 'and', 'result_9': 'true', 'greater_4': 'greater', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_10': 'all_rows', 'name_11': 'name', 'channel 3_12': 'channel 3', 'broadcasting hours_13': 'broadcasting hours', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_14': 'all_rows', 'name_15': 'name', 'thai pbs_16': 'thai pbs', 'broadcasting hours_17': 'broadcasting hours', 'and_7': 'and', 'str_eq_5': 'str_eq', '24 - hours_18': '24 - hours', 'str_eq_6': 'str_eq', '21 - hours (5:00 am - 2:00 am)_19': '21 - hours ( 5:00 am - 2:00 am )'} | {'and_8': [9], 'result_9': [], 'greater_4': [8], 'str_hop_2': [4, 5], 'filter_str_eq_0': [2], 'all_rows_10': [0], 'name_11': [0], 'channel 3_12': [0], 'broadcasting hours_13': [2], 'str_hop_3': [4, 6], 'filter_str_eq_1': [3], 'all_rows_14': [1], 'name_15': [1], 'thai pbs_16': [1], 'broadcasting hours_17': [3], 'and_7': [8], 'str_eq_5': [7], '24 - hours_18': [5], 'str_eq_6': [7], '21 - hours (5:00 am - 2:00 am)_19': [6]} | ['name', 'network', 'owner', 'launch date', 'channel ( bkk )', 'broadcasting area', 'transmitted area', 'broadcasting hours'] | [['channel 3', 'mcot and bangkok entertainment co , ltd', 'bec - tero', '26 march 1970', '3 / 32 ( vhf / uhf )', 'rama iv road', 'bangkok', '24 - hours'], ['rta tv - 5', 'royal thai army radio and television', 'royal thai army', '25 january 1958', '5 ( vhf )', 'sanam pao', 'bangkok', '24 - hours'], ['bbtv channel 7', 'bangkok broadcasting and tv co , ltd', 'royal thai army', '1 december 1967', '7 ( vhf )', 'mo chit', 'bangkok', '24 - hours'], ['modernine tv', 'mcot', 'mcot', '24 june 1955', '9 ( vhf )', 'mcot', 'bangkok', '24 - hours'], ['nbt', 'nbt', 'government', '11 july 1988', '11 ( vhf )', 'vibhavadi rangsit road din daeng', 'bangkok', '24 - hours'], ['thai pbs', 'thai public broadcasting service', 'government and public', '15 january 2008', '29 ( uhf )', 'vibhavadi rangsit road lak si', 'bangkok', '21 - hours ( 5:00 am - 2:00 am )']] |
alex caffi | https://en.wikipedia.org/wiki/Alex_Caffi | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1218386-1.html.csv | majority | alex caffi scored no points in most of the years that he participated . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': '0', 'subset': None} | {'func': 'most_eq', 'args': ['all_rows', 'points', '0'], 'result': True, 'ind': 0, 'tointer': 'for the points records of all rows , most of them are equal to 0 .', 'tostr': 'most_eq { all_rows ; points ; 0 } = true'} | most_eq { all_rows ; points ; 0 } = true | for the points records of all rows , most of them are equal to 0 . | 1 | 1 | {'most_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'points_3': 3, '0_4': 4} | {'most_eq_0': 'most_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'points_3': 'points', '0_4': '0'} | {'most_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'points_3': [0], '0_4': [0]} | ['year', 'entrant', 'chassis', 'engine', 'points'] | [['1986', 'osella squadra corse', 'osella fa1 g', 'alfa romeo v8', '0'], ['1987', 'osella squadra corse', 'osella fa1i', 'alfa romeo v8', '0'], ['1987', 'osella squadra corse', 'osella fa1 g', 'alfa romeo v8', '0'], ['1988', 'scuderia italia', 'dallara 3087', 'cosworth v8', '0'], ['1988', 'scuderia italia', 'dallara 188', 'cosworth v8', '0'], ['1989', 'scuderia italia', 'dallara 189', 'cosworth v8', '4'], ['1990', 'footwork arrows racing', 'arrows a11b', 'cosworth v8', '2'], ['1991', 'footwork grand prix international', 'footwork a11c', 'porsche v12', '0'], ['1991', 'footwork grand prix international', 'footwork fa12', 'porsche v12', '0'], ['1991', 'footwork grand prix international', 'footwork fa12c', 'cosworth v8', '0'], ['1992', 'andrea moda formula', 'coloni c4b', 'judd v10', '0'], ['1992', 'andrea moda formula', 'moda s921', 'judd v10', '0']] |
schoolhouse rock ! | https://en.wikipedia.org/wiki/Schoolhouse_Rock%21 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-191105-4.html.csv | majority | the majority of the episodes listed for schoolhouse rock ! first aired in the 70 's . | {'scope': 'all', 'col': '6', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '1970', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'first aired', '1970'], 'result': True, 'ind': 0, 'tointer': 'for the first aired records of all rows , most of them are greater than 1970 .', 'tostr': 'most_greater { all_rows ; first aired ; 1970 } = true'} | most_greater { all_rows ; first aired ; 1970 } = true | for the first aired records of all rows , most of them are greater than 1970 . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'first aired_3': 3, '1970_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'first aired_3': 'first aired', '1970_4': '1970'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'first aired_3': [0], '1970_4': [0]} | ['episode title', 'subject', 'music by', 'lyrics by', 'performed by', 'first aired'] | [['elbow room', 'us territorial expansion', 'lynn ahrens', 'lynn ahrens', 'sue manchester', '1975'], ['fireworks', 'declaration of independence', 'lynn ahrens', 'lynn ahrens', 'grady tate', '1976'], ['the great american melting pot', 'immigration / diversity', 'lynn ahrens', 'lynn ahrens', 'lori lieberman', '1977 , or may 1 , 1976'], ["i 'm just a bill", 'legislative process', 'dave frishberg', 'dave frishberg', 'jack sheldon', '1975'], ['no more kings', 'american independence', 'lynn ahrens', 'lynn ahrens', 'lynn ahrens & bob dorough', '1975'], ['preamble', 'united states constitution', 'lynn ahrens', 'lynn ahrens', 'lynn ahrens', '1975'], ["the shot heard ' round the world", 'american revolutionary war', 'bob dorough', 'bob dorough', 'bob dorough', '1976'], ["sufferin ' 'til suffrage", "women 's suffrage", 'bob dorough', 'tom yohe', 'essra mohawk', '1976'], ['three ring government', 'separation of powers', 'lynn ahrens', 'lynn ahrens', 'lynn ahrens', '1979'], ["i 'm gon na send your vote to college", 'electoral college', 'george r newall and bob dorough', 'george r newall and bob dorough', 'jack sheldon and bob dorough', '2002']] |
1989 senior pga tour | https://en.wikipedia.org/wiki/1989_Senior_PGA_Tour | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11622496-4.html.csv | unique | bob charles was the only player in the 1989 senior pga tour from new zealand . | {'scope': 'all', 'row': '2', 'col': '3', 'col_other': '2', 'criterion': 'equal', 'value': 'new zealand', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'new zealand'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose country record fuzzily matches to new zealand .', 'tostr': 'filter_eq { all_rows ; country ; new zealand }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; country ; new zealand } }', 'tointer': 'select the rows whose country record fuzzily matches to new zealand . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'new zealand'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose country record fuzzily matches to new zealand .', 'tostr': 'filter_eq { all_rows ; country ; new zealand }'}, 'player'], 'result': 'bob charles', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; country ; new zealand } ; player }'}, 'bob charles'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; country ; new zealand } ; player } ; bob charles }', 'tointer': 'the player record of this unqiue row is bob charles .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; country ; new zealand } } ; eq { hop { filter_eq { all_rows ; country ; new zealand } ; player } ; bob charles } } = true', 'tointer': 'select the rows whose country record fuzzily matches to new zealand . there is only one such row in the table . the player record of this unqiue row is bob charles .'} | and { only { filter_eq { all_rows ; country ; new zealand } } ; eq { hop { filter_eq { all_rows ; country ; new zealand } ; player } ; bob charles } } = true | select the rows whose country record fuzzily matches to new zealand . there is only one such row in the table . the player record of this unqiue row is bob charles . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'country_7': 7, 'new zealand_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'bob charles_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'country_7': 'country', 'new zealand_8': 'new zealand', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'bob charles_10': 'bob charles'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'country_7': [0], 'new zealand_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'bob charles_10': [3]} | ['rank', 'player', 'country', 'earnings', 'wins'] | [['1', 'miller barber', 'united states', '2214603', '24'], ['2', 'bob charles', 'new zealand', '1910413', '13'], ['3', 'orville moody', 'united states', '1862956', '9'], ['4', 'bruce crampton', 'australia', '1682961', '15'], ['5', 'gary player', 'south africa', '1604659', '14']] |
v - league 5th season 1st conference | https://en.wikipedia.org/wiki/V-League_5th_Season_1st_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16348031-4.html.csv | unique | the college of saint benilde was the only team who had a loss value in the double digits . | {'scope': 'all', 'row': '6', 'col': '3', 'col_other': '2', 'criterion': 'greater_than', 'value': '9', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'loss', '9'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose loss record is greater than 9 .', 'tostr': 'filter_greater { all_rows ; loss ; 9 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_greater { all_rows ; loss ; 9 } }', 'tointer': 'select the rows whose loss record is greater than 9 . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_greater', 'args': ['all_rows', 'loss', '9'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose loss record is greater than 9 .', 'tostr': 'filter_greater { all_rows ; loss ; 9 }'}, 'team'], 'result': 'college of saint benilde', 'ind': 2, 'tostr': 'hop { filter_greater { all_rows ; loss ; 9 } ; team }'}, 'college of saint benilde'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_greater { all_rows ; loss ; 9 } ; team } ; college of saint benilde }', 'tointer': 'the team record of this unqiue row is college of saint benilde .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_greater { all_rows ; loss ; 9 } } ; eq { hop { filter_greater { all_rows ; loss ; 9 } ; team } ; college of saint benilde } } = true', 'tointer': 'select the rows whose loss record is greater than 9 . there is only one such row in the table . the team record of this unqiue row is college of saint benilde .'} | and { only { filter_greater { all_rows ; loss ; 9 } } ; eq { hop { filter_greater { all_rows ; loss ; 9 } ; team } ; college of saint benilde } } = true | select the rows whose loss record is greater than 9 . there is only one such row in the table . the team record of this unqiue row is college of saint benilde . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_greater_0': 0, 'all_rows_6': 6, 'loss_7': 7, '9_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'team_9': 9, 'college of saint benilde_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_greater_0': 'filter_greater', 'all_rows_6': 'all_rows', 'loss_7': 'loss', '9_8': '9', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'team_9': 'team', 'college of saint benilde_10': 'college of saint benilde'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_greater_0': [1, 2], 'all_rows_6': [0], 'loss_7': [0], '9_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'team_9': [2], 'college of saint benilde_10': [3]} | ['rank', 'team', 'loss', 'sets won', 'sets lost', 'percentage'] | [['1', 'san sebastian college - recoletos', '1', '27', '3', '90 %'], ['2', 'adamson university', '1', '27', '6', '81 %'], ['3', 'lyceum of the philippines university', '3', '16', '22', '42 %'], ['4', 'ateneo de manila university', '4', '16', '23', '41 %'], ['5', 'far eastern university', '6', '15', '25', '38 %'], ['6', 'college of saint benilde', '10', '4', '30', '12 %']] |
1965 - 66 segunda división | https://en.wikipedia.org/wiki/1965%E2%80%9366_Segunda_Divisi%C3%B3n | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17832085-2.html.csv | ordinal | deportivo de la coruña club recorded the highest number of points in the 1965 - 66 segunda división . | {'row': '1', 'col': '4', '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', 'points', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; points ; 1 }'}, 'club'], 'result': 'deportivo de la coruña', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; points ; 1 } ; club }'}, 'deportivo de la coruña'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; points ; 1 } ; club } ; deportivo de la coruña } = true', 'tointer': 'select the row whose points record of all rows is 1st maximum . the club record of this row is deportivo de la coruña .'} | eq { hop { nth_argmax { all_rows ; points ; 1 } ; club } ; deportivo de la coruña } = true | select the row whose points record of all rows is 1st maximum . the club record of this row is deportivo de la coruña . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'points_5': 5, '1_6': 6, 'club_7': 7, 'deportivo de la coruña_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', '1_6': '1', 'club_7': 'club', 'deportivo de la coruña_8': 'deportivo de la coruña'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'points_5': [0], '1_6': [0], 'club_7': [1], 'deportivo de la coruña_8': [2]} | ['position', 'club', 'played', 'points', 'wins', 'draws', 'losses', 'goals for', 'goals against', 'goal difference'] | [['1', 'deportivo de la coruña', '30', '43', '18', '7', '5', '53', '19', '+ 34'], ['2', 'celta de vigo', '30', '39', '17', '5', '8', '54', '28', '+ 26'], ['3', 'real gijón', '30', '36', '15', '6', '9', '67', '50', '+ 17'], ['4', 'real oviedo', '30', '34', '13', '8', '9', '38', '22', '+ 16'], ['5', 'burgos cf', '30', '32', '13', '6', '11', '42', '41', '+ 1'], ['6', 'sd indauchu', '30', '32', '14', '4', '12', '47', '47', '0'], ['7', 'cd condal', '30', '32', '14', '4', '12', '55', '46', '+ 9'], ['8', 'real santander', '30', '31', '11', '9', '10', '38', '40', '- 2'], ['9', 'ca osasuna', '30', '31', '13', '5', '12', '39', '41', '- 2'], ['10', 'real sociedad', '30', '31', '13', '5', '12', '50', '48', '+ 2'], ['11', 'ud lérida', '30', '30', '10', '10', '10', '37', '31', '+ 6'], ['12', 'cf badalona', '30', '30', '13', '4', '13', '32', '41', '- 9'], ['13', 'up langreo', '30', '23', '10', '3', '17', '37', '58', '- 21'], ['14', 'cd europa', '30', '23', '9', '5', '16', '33', '49', '- 16'], ['15', 'cd hospitalet', '30', '19', '9', '1', '20', '37', '63', '- 26'], ['16', 'baracaldo ah', '30', '14', '5', '4', '21', '24', '59', '- 35']] |
utah jazz all - time roster | https://en.wikipedia.org/wiki/Utah_Jazz_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-11545282-12.html.csv | unique | raul iopez was the only player of uttah jazz to be of spanish origin . | {'scope': 'all', 'row': '10', 'col': '3', 'col_other': '1', 'criterion': 'equal', 'value': 'spain', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nationality', 'spain'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nationality record fuzzily matches to spain .', 'tostr': 'filter_eq { all_rows ; nationality ; spain }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; nationality ; spain } }', 'tointer': 'select the rows whose nationality record fuzzily matches to spain . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nationality', 'spain'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nationality record fuzzily matches to spain .', 'tostr': 'filter_eq { all_rows ; nationality ; spain }'}, 'player'], 'result': 'raúl lópez', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; nationality ; spain } ; player }'}, 'raúl lópez'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; nationality ; spain } ; player } ; raúl lópez }', 'tointer': 'the player record of this unqiue row is raúl lópez .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; nationality ; spain } } ; eq { hop { filter_eq { all_rows ; nationality ; spain } ; player } ; raúl lópez } } = true', 'tointer': 'select the rows whose nationality record fuzzily matches to spain . there is only one such row in the table . the player record of this unqiue row is raúl lópez .'} | and { only { filter_eq { all_rows ; nationality ; spain } } ; eq { hop { filter_eq { all_rows ; nationality ; spain } ; player } ; raúl lópez } } = true | select the rows whose nationality record fuzzily matches to spain . there is only one such row in the table . the player record of this unqiue row is raúl lópez . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'nationality_7': 7, 'spain_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'raúl lópez_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', 'spain_8': 'spain', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'raúl lópez_10': 'raúl lópez'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'nationality_7': [0], 'spain_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'raúl lópez_10': [3]} | ['player', 'no', 'nationality', 'position', 'years for jazz', 'school / club team'] | [['stu lantz', '22', 'united states', 'guard', '1974 - 75', 'nebraska'], ['rusty larue', '5', 'united states', 'guard', '2001 - 02', 'wake forest'], ['eric leckner', '45', 'united states', 'forward - center', '1988 - 90', 'wyoming'], ['ron lee', '18', 'united states', 'guard', '1979 - 80', 'oregon'], ['russell lee', '11', 'united states', 'guard - forward', '1974 - 75', 'marshall'], ['tim legler', '18', 'united states', 'guard', '1992', 'la salle'], ['jim les', '25', 'united states', 'guard', '1988 - 89', 'bradley'], ['quincy lewis', '20', 'united states', 'forward', '1999 - 2002', 'minnesota'], ['randy livingston', '2', 'united states', 'guard', '2004 - 05', 'lsu'], ['raúl lópez', '24', 'spain', 'guard', '2003 - 2005', 'real madrid ( spain )']] |
1971 buffalo bills season | https://en.wikipedia.org/wiki/1971_Buffalo_Bills_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17386060-1.html.csv | ordinal | bob chandler was the 8th pick in 1971 for buffalo . | {'row': '8', 'col': '1', 'order': '8', 'col_other': '3', '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', 'round', '8'], 'result': '7', 'ind': 0, 'tostr': 'nth_min { all_rows ; round ; 8 }', 'tointer': 'the 8th minimum round record of all rows is 7 .'}, '7'], 'result': True, 'ind': 1, 'tostr': 'eq { nth_min { all_rows ; round ; 8 } ; 7 }', 'tointer': 'the 8th minimum round record of all rows is 7 .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'round', '8'], 'result': None, 'ind': 2, 'tostr': 'nth_argmin { all_rows ; round ; 8 }'}, 'player'], 'result': 'bob chandler', 'ind': 3, 'tostr': 'hop { nth_argmin { all_rows ; round ; 8 } ; player }'}, 'bob chandler'], 'result': True, 'ind': 4, 'tostr': 'eq { hop { nth_argmin { all_rows ; round ; 8 } ; player } ; bob chandler }', 'tointer': 'the player record of the row with 8th minimum round record is bob chandler .'}], 'result': True, 'ind': 5, 'tostr': 'and { eq { nth_min { all_rows ; round ; 8 } ; 7 } ; eq { hop { nth_argmin { all_rows ; round ; 8 } ; player } ; bob chandler } } = true', 'tointer': 'the 8th minimum round record of all rows is 7 . the player record of the row with 8th minimum round record is bob chandler .'} | and { eq { nth_min { all_rows ; round ; 8 } ; 7 } ; eq { hop { nth_argmin { all_rows ; round ; 8 } ; player } ; bob chandler } } = true | the 8th minimum round record of all rows is 7 . the player record of the row with 8th minimum round record is bob chandler . | 6 | 6 | {'and_5': 5, 'result_6': 6, 'eq_1': 1, 'nth_min_0': 0, 'all_rows_7': 7, 'round_8': 8, '8_9': 9, '7_10': 10, 'str_eq_4': 4, 'str_hop_3': 3, 'nth_argmin_2': 2, 'all_rows_11': 11, 'round_12': 12, '8_13': 13, 'player_14': 14, 'bob chandler_15': 15} | {'and_5': 'and', 'result_6': 'true', 'eq_1': 'eq', 'nth_min_0': 'nth_min', 'all_rows_7': 'all_rows', 'round_8': 'round', '8_9': '8', '7_10': '7', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'nth_argmin_2': 'nth_argmin', 'all_rows_11': 'all_rows', 'round_12': 'round', '8_13': '8', 'player_14': 'player', 'bob chandler_15': 'bob chandler'} | {'and_5': [6], 'result_6': [], 'eq_1': [5], 'nth_min_0': [1], 'all_rows_7': [0], 'round_8': [0], '8_9': [0], '7_10': [1], 'str_eq_4': [5], 'str_hop_3': [4], 'nth_argmin_2': [3], 'all_rows_11': [2], 'round_12': [2], '8_13': [2], 'player_14': [3], 'bob chandler_15': [4]} | ['round', 'pick', 'player', 'position', 'school / club team'] | [['1', '4', 'jd hill', 'wide receiver', 'arizona state'], ['2', '29', 'jan white', 'tight end', 'ohio state'], ['3', '53', 'bruce jarvis', 'center', 'washington state'], ['3', '57', 'jim braxton', 'fullback', 'west virginia'], ['5', '107', 'donnie green', 'offensive tackle', 'purdue'], ['5', '113', 'tim beamer', 'defensive back', 'illinois'], ['6', '145', 'bill mckinley', 'defensive end', 'arizona'], ['7', '160', 'bob chandler', 'wide receiver', 'southern california'], ['8', '183', 'louis ross', 'defensive end', 'south carolina state']] |
air austral | https://en.wikipedia.org/wiki/Air_Austral | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1497794-2.html.csv | count | in air austral , one of the airports in réunion is roland garros airport . | {'scope': 'subset', 'criterion': 'equal', 'value': 'roland garros airport', 'result': '1', 'col': '5', 'subset': {'col': '2', 'criterion': 'equal', 'value': 'réunion'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'réunion'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; country ; réunion }', 'tointer': 'select the rows whose country record fuzzily matches to réunion .'}, 'airport', 'roland garros airport'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose country record fuzzily matches to réunion . among these rows , select the rows whose airport record fuzzily matches to roland garros airport .', 'tostr': 'filter_eq { filter_eq { all_rows ; country ; réunion } ; airport ; roland garros airport }'}], 'result': '1', 'ind': 2, 'tostr': 'count { filter_eq { filter_eq { all_rows ; country ; réunion } ; airport ; roland garros airport } }', 'tointer': 'select the rows whose country record fuzzily matches to réunion . among these rows , select the rows whose airport record fuzzily matches to roland garros airport . the number of such rows is 1 .'}, '1'], 'result': True, 'ind': 3, 'tostr': 'eq { count { filter_eq { filter_eq { all_rows ; country ; réunion } ; airport ; roland garros airport } } ; 1 } = true', 'tointer': 'select the rows whose country record fuzzily matches to réunion . among these rows , select the rows whose airport record fuzzily matches to roland garros airport . the number of such rows is 1 .'} | eq { count { filter_eq { filter_eq { all_rows ; country ; réunion } ; airport ; roland garros airport } } ; 1 } = true | select the rows whose country record fuzzily matches to réunion . among these rows , select the rows whose airport record fuzzily matches to roland garros airport . the number of such rows is 1 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'country_6': 6, 'réunion_7': 7, 'airport_8': 8, 'roland garros airport_9': 9, '1_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'country_6': 'country', 'réunion_7': 'réunion', 'airport_8': 'airport', 'roland garros airport_9': 'roland garros airport', '1_10': '1'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'country_6': [0], 'réunion_7': [0], 'airport_8': [1], 'roland garros airport_9': [1], '1_10': [3]} | ['city', 'country', 'iata', 'icao', 'airport'] | [['antananarivo', 'madagascar', 'tnr', 'fmmi', 'ivato airport'], ['bangkok', 'thailand', 'bkk', 'vtbs', 'suvarnabhumi airport'], ['chennai', 'india', 'maa', 'vomm', 'chennai international airport'], ['dzaoudzi', 'mayotte', 'dza', 'fmcz', 'dzaoudzi pamandzi international airport'], ['johannesburg', 'south africa', 'jnb', 'faor', 'or tambo airport'], ['mahé', 'seychelles', 'sez', 'fsia', 'seychelles international airport'], ['moroni', 'comoros', 'hah', 'fmch', 'prince said ibrahim international airport'], ['nosy be', 'madagascar', 'nos', 'fmnn', 'fascene airport'], ['noumea', 'new caledonia', 'nou', 'nwww', 'la tontouta international airport'], ['paris', 'france', 'cdg', 'lfpg', 'paris - charles de gaulle airport'], ['port louis', 'mauritius', 'mru', 'fimp', 'sir seewoosagur ramgoolam international airport'], ['saint denis', 'réunion', 'run', 'fmee', 'roland garros airport'], ['saint - pierre', 'réunion', 'zse', 'fmep', 'pierrefonds airport'], ['sydney', 'australia', 'syd', 'yssy', 'sydney airport'], ['toamasina', 'madagascar', 'tmm', 'fmmt', 'toamasina airport']] |
memphis grizzlies all - time roster | https://en.wikipedia.org/wiki/Memphis_Grizzlies_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16494599-12.html.csv | superlative | the player on the memphis grizzlies all time roster to have spent the least time playing for them was eric leckner . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'years for grizzlies'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; years for grizzlies }'}, 'player'], 'result': 'eric leckner', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; years for grizzlies } ; player }'}, 'eric leckner'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmin { all_rows ; years for grizzlies } ; player } ; eric leckner } = true', 'tointer': 'select the row whose years for grizzlies record of all rows is minimum . the player record of this row is eric leckner .'} | eq { hop { argmin { all_rows ; years for grizzlies } ; player } ; eric leckner } = true | select the row whose years for grizzlies record of all rows is minimum . the player record of this row is eric leckner . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'years for grizzlies_5': 5, 'player_6': 6, 'eric leckner_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'years for grizzlies_5': 'years for grizzlies', 'player_6': 'player', 'eric leckner_7': 'eric leckner'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'years for grizzlies_5': [0], 'player_6': [1], 'eric leckner_7': [2]} | ['player', 'nationality', 'position', 'years for grizzlies', 'school / club team'] | [['eric leckner', 'united states', 'center', '1996 - 1997', 'wyoming'], ['grant long', 'united states', 'small forward', '1999 - 2002', 'eastern michigan'], ['felipe lã cubicpez', 'dominican republic', 'shooting guard', '1998 - 2000', "st john 's"], ['kyle lowry', 'united states', 'point guard', '2006 - 2009', 'villanova'], ['george lynch', 'united states', 'small forward', '1996 - 1998', 'north carolina']] |
enlargement of the eurozone | https://en.wikipedia.org/wiki/Enlargement_of_the_eurozone | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12641034-2.html.csv | superlative | the danish krone has the highest central rate of the eu members which have not adopted the euro . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '4', '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', 'central rate'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; central rate }'}, 'currency'], 'result': 'danish krone', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; central rate } ; currency }'}, 'danish krone'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; central rate } ; currency } ; danish krone } = true', 'tointer': 'select the row whose central rate record of all rows is maximum . the currency record of this row is danish krone .'} | eq { hop { argmax { all_rows ; central rate } ; currency } ; danish krone } = true | select the row whose central rate record of all rows is maximum . the currency record of this row is danish krone . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'central rate_5': 5, 'currency_6': 6, 'danish krone_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'central rate_5': 'central rate', 'currency_6': 'currency', 'danish krone_7': 'danish krone'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'central rate_5': [0], 'currency_6': [1], 'danish krone_7': [2]} | ['currency', 'code', 'entry erm ii', 'central rate', 'official target date'] | [['bulgarian lev', 'bgn', '-', '1.95583', '-'], ['croatian kuna', 'hrk', '-', '-', '-'], ['czech koruna', 'czk', '-', '-', '-'], ['danish krone', 'dkk', '1 january 1999', '7.46038', 'formal opt - out'], ['hungarian forint', 'huf', '-', '-', '-'], ['latvian lats', 'lvl', '2 may 2005', '0.702804', '1 january 2014'], ['lithuanian litas', 'ltl', '28 june 2004', '3.45280', '1 january 2015'], ['polish złoty', 'pln', '-', '-', '-'], ['romanian leu', 'ron', '-', '-', '-'], ['swedish krona', 'sek', 'not considered', '-', 'de facto opt - out'], ['british pound sterling gibraltar pound', 'gbp gip', 'not considered', '-', 'formal opt - out']] |
2009 cfl draft | https://en.wikipedia.org/wiki/2009_CFL_Draft | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-20170644-5.html.csv | superlative | in the 2009 cfl draft , guillarme allard - cameus was the highest pick . | {'scope': 'all', 'col_superlative': '1', 'row_superlative': '1', 'value_mentioned': 'no', 'max_or_min': 'min', 'other_col': '3', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmin', 'args': ['all_rows', 'pick'], 'result': None, 'ind': 0, 'tostr': 'argmin { all_rows ; pick }'}, 'player'], 'result': 'guillarme allard - cameus', 'ind': 1, 'tostr': 'hop { argmin { all_rows ; pick } ; player }'}, 'guillarme allard - cameus'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmin { all_rows ; pick } ; player } ; guillarme allard - cameus } = true', 'tointer': 'select the row whose pick record of all rows is minimum . the player record of this row is guillarme allard - cameus .'} | eq { hop { argmin { all_rows ; pick } ; player } ; guillarme allard - cameus } = true | select the row whose pick record of all rows is minimum . the player record of this row is guillarme allard - cameus . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmin_0': 0, 'all_rows_4': 4, 'pick_5': 5, 'player_6': 6, 'guillarme allard - cameus_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmin_0': 'argmin', 'all_rows_4': 'all_rows', 'pick_5': 'pick', 'player_6': 'player', 'guillarme allard - cameus_7': 'guillarme allard - cameus'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmin_0': [1], 'all_rows_4': [0], 'pick_5': [0], 'player_6': [1], 'guillarme allard - cameus_7': [2]} | ['pick', 'cfl team', 'player', 'position', 'college'] | [['33', 'hamilton tiger - cats', 'guillarme allard - cameus', 'rb', 'laval'], ['34', 'toronto argonauts', 'gordon sawler', 'dl', 'st francis xavier'], ['35', 'winnipeg blue bombers', 'peter quinney', 'fb', 'wilfrid laurier'], ['36', 'edmonton eskimos', 'eric lee', 'rb', 'weber state'], ['37', 'bc lions', 'jonathan pierre - etienne', 'de', 'montreal'], ['38', 'hamilton tiger - cats ( via saskatchewan )', 'raymond wladichuk', 'db', 'simon fraser'], ['39', 'montreal alouettes', 'benoã ® t boulanger', 'rb', 'sherbrooke']] |
breaking bad ( season 3 ) | https://en.wikipedia.org/wiki/Breaking_Bad_%28season_3%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-26736342-1.html.csv | count | adam bernstein directed a total of two episodes of breaking bad season 3 . | {'scope': 'all', 'criterion': 'equal', 'value': 'adam bernstein', 'result': '2', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'directed by', 'adam bernstein'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose directed by record fuzzily matches to adam bernstein .', 'tostr': 'filter_eq { all_rows ; directed by ; adam bernstein }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; directed by ; adam bernstein } }', 'tointer': 'select the rows whose directed by record fuzzily matches to adam bernstein . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; directed by ; adam bernstein } } ; 2 } = true', 'tointer': 'select the rows whose directed by record fuzzily matches to adam bernstein . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; directed by ; adam bernstein } } ; 2 } = true | select the rows whose directed by record fuzzily matches to adam bernstein . 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, 'directed by_5': 5, 'adam bernstein_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', 'directed by_5': 'directed by', 'adam bernstein_6': 'adam bernstein', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'directed by_5': [0], 'adam bernstein_6': [0], '2_7': [2]} | ['no in series', 'no in season', 'title', 'directed by', 'written by', 'original air date', 'us viewers ( millions )'] | [['21', '1', 'no más', 'bryan cranston', 'vince gilligan', 'march 21 , 2010', '1.95'], ['22', '2', 'caballo sin nombre', 'adam bernstein', 'peter gould', 'march 28 , 2010', '1.55'], ['23', '3', 'ift', 'michelle maclaren', 'george mastras', 'april 4 , 2010', '1.33'], ['24', '4', 'green light', 'scott winant', 'sam catlin', 'april 11 , 2010', '1.46'], ['25', '5', 'más', 'johan renck', 'moira walley - beckett', 'april 18 , 2010', '1.61'], ['26', '6', 'sunset', 'john shiban', 'john shiban', 'april 25 , 2010', '1.64'], ['27', '7', 'one minute', 'michelle maclaren', 'thomas schnauz', 'may 2 , 2010', '1.52'], ['28', '8', 'i see you', 'colin bucksey', 'gennifer hutchison', 'may 9 , 2010', '1.78'], ['29', '9', 'kafkaesque', 'michael slovis', 'peter gould & george mastras', 'may 16 , 2010', '1.61'], ['30', '10', 'fly', 'rian johnson', 'sam catlin & moira walley - beckett', 'may 23 , 2010', '1.20'], ['31', '11', 'abiquiu', 'michelle maclaren', 'john shiban & thomas schnauz', 'may 30 , 2010', '1.32'], ['32', '12', 'half measures', 'adam bernstein', 'sam catlin & peter gould', 'june 6 , 2010', '1.19']] |
wisconsin badgers men 's basketball | https://en.wikipedia.org/wiki/Wisconsin_Badgers_men%27s_basketball | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10631744-2.html.csv | majority | through 2013 , most of the coaches of the wisconsin badgers men 's basketball team held winning records . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'greater_than', 'value': '50 %', 'subset': None} | {'func': 'most_greater', 'args': ['all_rows', 'overall win percentage', '50 %'], 'result': True, 'ind': 0, 'tointer': 'for the overall win percentage records of all rows , most of them are greater than 50 % .', 'tostr': 'most_greater { all_rows ; overall win percentage ; 50 % } = true'} | most_greater { all_rows ; overall win percentage ; 50 % } = true | for the overall win percentage records of all rows , most of them are greater than 50 % . | 1 | 1 | {'most_greater_0': 0, 'result_1': 1, 'all_rows_2': 2, 'overall win percentage_3': 3, '50%_4': 4} | {'most_greater_0': 'most_greater', 'result_1': 'true', 'all_rows_2': 'all_rows', 'overall win percentage_3': 'overall win percentage', '50%_4': '50 %'} | {'most_greater_0': [1], 'result_1': [], 'all_rows_2': [0], 'overall win percentage_3': [0], '50%_4': [0]} | ['coach', 'years', 'record', 'conference record', 'overall win percentage'] | [['james c elsom', '1898 - 1904', '25 - 14', '-', '64 %'], ['emmett angell', '1904 - 1908', '43 - 15', '19 - 5', '74 %'], ['haskell noyes', '1908 - 1911', '26 - 15', '18 - 15', '63 %'], ['walter meanwell', '1911 - 1917', '92 - 9', '63 - 9', '91 %'], ['guy lowman', '1917 - 1920', '34 - 19', '19 - 17', '64 %'], ['walter meanwell', '1920 - 1934', '154 - 90', '95 - 71', '63 %'], ['bud foster', '1934 - 1959', '265 - 267', '143 - 182', '49 %'], ['john e erickson', '1959 - 1968', '100 - 114', '52 - 74', '46 %'], ['john powless', '1968 - 1976', '88 - 108', '42 - 78', '44 %'], ['bill cofield', '1976 - 1982', '63 - 101', '32 - 76', '38 %'], ['steve yoder', '1982 - 1992', '128 - 165', '50 - 130', '43 %'], ['stu jackson', '1992 - 1994', '32 - 25', '15 - 21', '56 %'], ['stan van gundy', '1994 - 1995', '13 - 14', '7 - 11', '48 %'], ['dick bennett', '1995 - 2000', '93 - 69', '39 - 45', '57 %'], ['brad soderberg', '2000 - 2001', '16 - 10', '9 - 7', '61 %'], ['bo ryan', '2001 - present', '291 - 113', '144 - 60', '72 %'], ['total', '1898 - 2013', '1463 - 1148', '747 - 801', '56 %']] |
2008 copa libertadores knockout stages | https://en.wikipedia.org/wiki/2008_Copa_Libertadores_knockout_stages | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-16795394-3.html.csv | unique | fluminense is the only team in the 2008 copa libertadores knockout stages with a 6-0 record . | {'scope': 'all', 'row': '1', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': '6-0', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'points', '6-0'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose points record fuzzily matches to 6-0 .', 'tostr': 'filter_eq { all_rows ; points ; 6-0 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; points ; 6-0 } }', 'tointer': 'select the rows whose points record fuzzily matches to 6-0 . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'points', '6-0'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose points record fuzzily matches to 6-0 .', 'tostr': 'filter_eq { all_rows ; points ; 6-0 }'}, 'team 1'], 'result': 'fluminense', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; points ; 6-0 } ; team 1 }'}, 'fluminense'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; points ; 6-0 } ; team 1 } ; fluminense }', 'tointer': 'the team 1 record of this unqiue row is fluminense .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; points ; 6-0 } } ; eq { hop { filter_eq { all_rows ; points ; 6-0 } ; team 1 } ; fluminense } } = true', 'tointer': 'select the rows whose points record fuzzily matches to 6-0 . there is only one such row in the table . the team 1 record of this unqiue row is fluminense .'} | and { only { filter_eq { all_rows ; points ; 6-0 } } ; eq { hop { filter_eq { all_rows ; points ; 6-0 } ; team 1 } ; fluminense } } = true | select the rows whose points record fuzzily matches to 6-0 . there is only one such row in the table . the team 1 record of this unqiue row is fluminense . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'points_7': 7, '6-0_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'team 1_9': 9, 'fluminense_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'points_7': 'points', '6-0_8': '6-0', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'team 1_9': 'team 1', 'fluminense_10': 'fluminense'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'points_7': [0], '6-0_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'team 1_9': [2], 'fluminense_10': [3]} | ['team 1', 'points', 'team 2', '1st leg', '2nd leg'] | [['fluminense', '6 - 0', 'atlético nacional', '2 - 1', '1 - 0'], ['flamengo', '3 - 3 ( gd )', 'américa', '4 - 2', '0 - 3'], ['river plate', '1 - 4', 'san lorenzo', '1 - 2', '2 - 2'], ['atlas', '4 - 1', 'lanús', '1 - 0', '2 - 2'], ['cruzeiro', '0 - 6', 'boca juniors', '1 - 2', '1 - 2'], ['estudiantes', '3 - 3 ( gd )', 'ldu quito', '0 - 2', '2 - 1'], ['cúcuta deportivo', '0 - 6', 'santos', '0 - 2', '0 - 2']] |
b " rowing at the 2008 summer olympics - men 's single sculls " | https://en.wikipedia.org/wiki/Rowing_at_the_2008_Summer_Olympics_%E2%80%93_Men%27s_single_sculls | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18662643-10.html.csv | count | in the men 's single sculls rowing event at the 2008 summer olympics , there were two rowers who finished their events with a time below 7:00 . | {'scope': 'all', 'criterion': 'less_than', 'value': '7:00', 'result': '2', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_less', 'args': ['all_rows', 'time', '7:00'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose time record is less than 7:00 .', 'tostr': 'filter_less { all_rows ; time ; 7:00 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_less { all_rows ; time ; 7:00 } }', 'tointer': 'select the rows whose time record is less than 7:00 . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_less { all_rows ; time ; 7:00 } } ; 2 } = true', 'tointer': 'select the rows whose time record is less than 7:00 . the number of such rows is 2 .'} | eq { count { filter_less { all_rows ; time ; 7:00 } } ; 2 } = true | select the rows whose time record is less than 7:00 . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_less_0': 0, 'all_rows_4': 4, 'time_5': 5, '7:00_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_less_0': 'filter_less', 'all_rows_4': 'all_rows', 'time_5': 'time', '7:00_6': '7:00', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_less_0': [1], 'all_rows_4': [0], 'time_5': [0], '7:00_6': [0], '2_7': [2]} | ['rank', 'athlete', 'country', 'time', 'notes'] | [['1', 'ondřej synek', 'czech republic', '6:50.23', 'sa / b'], ['2', 'tim maeyens', 'belgium', '6:52.70', 'sa / b'], ['3', 'peter hardcastle', 'australia', '7:00.09', 'sa / b'], ['4', 'andrei jämsä', 'estonia', '7:05.48', 'sc / d'], ['5', 'wang ming - hui', 'chinese taipei', '7:17.08', 'sc / d'], ['6', 'law hiu fung', 'hong kong', '7:29.21', 'sc / d']] |
1986 - 87 football conference | https://en.wikipedia.org/wiki/1986%E2%80%9387_Football_Conference | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15559220-4.html.csv | comparative | in the 1986-1987 football conference , bath city had more fa cups than telford united . | {'row_1': '10', 'row_2': '6', 'col': '4', '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', 'club', 'bath city'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose club record fuzzily matches to bath city .', 'tostr': 'filter_eq { all_rows ; club ; bath city }'}, 'fa cup'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; club ; bath city } ; fa cup }', 'tointer': 'select the rows whose club record fuzzily matches to bath city . take the fa cup record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'club', 'telford united'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose club record fuzzily matches to telford united .', 'tostr': 'filter_eq { all_rows ; club ; telford united }'}, 'fa cup'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; club ; telford united } ; fa cup }', 'tointer': 'select the rows whose club record fuzzily matches to telford united . take the fa cup record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; club ; bath city } ; fa cup } ; hop { filter_eq { all_rows ; club ; telford united } ; fa cup } } = true', 'tointer': 'select the rows whose club record fuzzily matches to bath city . take the fa cup record of this row . select the rows whose club record fuzzily matches to telford united . take the fa cup record of this row . the first record is greater than the second record .'} | greater { hop { filter_eq { all_rows ; club ; bath city } ; fa cup } ; hop { filter_eq { all_rows ; club ; telford united } ; fa cup } } = true | select the rows whose club record fuzzily matches to bath city . take the fa cup record of this row . select the rows whose club record fuzzily matches to telford united . take the fa cup record of this row . the first record is greater than the second record . | 5 | 5 | {'greater_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'club_7': 7, 'bath city_8': 8, 'fa cup_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'club_11': 11, 'telford united_12': 12, 'fa cup_13': 13} | {'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'club_7': 'club', 'bath city_8': 'bath city', 'fa cup_9': 'fa cup', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'club_11': 'club', 'telford united_12': 'telford united', 'fa cup_13': 'fa cup'} | {'greater_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'club_7': [0], 'bath city_8': [0], 'fa cup_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'club_11': [1], 'telford united_12': [1], 'fa cup_13': [3]} | ['player', 'club', 'league', 'fa cup', 'fa trophy', 'league cup', 'total'] | [['kim casey', 'kidderminster harriers', '38', '4', '2', '0', '44'], ['mick carter', 'runcorn', '30', '2', '6', '3', '41'], ['steve butler', 'maidstone united', '24', '5', '3', '2', '34'], ['gary abbott', 'welling united', '23', '2', '3', '0', '28'], ['chris cook', 'boston united', '23', '0', '2', '2', '27'], ['ken mckenna', 'telford united', '23', '1', '0', '0', '24'], ['nicky evans', 'barnet', '22', '0', '4', '0', '26'], ['chris townsend', 'cheltenham town', '22', '1', '0', '0', '23'], ['mike doherty', 'weymouth', '16', '0', '1', '1', '18'], ['paul bodin', 'bath city', '16', '2', '2', '1', '21'], ['stewart mell', 'scarborough', '16', '0', '2', '0', '18'], ['john timmons', 'altrincham', '16', '0', '0', '1', '17']] |
german armed forces casualties in afghanistan | https://en.wikipedia.org/wiki/German_Armed_Forces_casualties_in_Afghanistan | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12378453-8.html.csv | majority | most of casualty incidents of the german armed forces in afghanistan involved hostiles . | {'scope': 'all', 'col': '3', 'most_or_all': 'most', 'criterion': 'fuzzily_match', 'value': 'hostile', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'nature of incident', 'hostile'], 'result': True, 'ind': 0, 'tointer': 'for the nature of incident records of all rows , most of them fuzzily match to hostile .', 'tostr': 'most_eq { all_rows ; nature of incident ; hostile } = true'} | most_eq { all_rows ; nature of incident ; hostile } = true | for the nature of incident records of all rows , most of them fuzzily match to hostile . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'nature of incident_3': 3, 'hostile_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'nature of incident_3': 'nature of incident', 'hostile_4': 'hostile'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'nature of incident_3': [0], 'hostile_4': [0]} | ['date', 'location', 'nature of incident', 'circumstances', 'casualties'] | [['2009 - 02 - 11', 'mazar - i - sharif', 'unknown', 'unknown', '1 killed'], ['2009 - 03 - 14', 'fayzabad', 'non - hostile', 'traffic accident', '1 dead , 2 injured'], ['2009 - 04 - 29', 'kunduz area', 'hostile', 'suicide bomber attack', '5 wia'], ['2009 - 04 - 29', 'kunduz area', 'hostile', 'direct fire', '1 kia , 10 wia'], ['2009 - 05 - 06 to 2009 - 05 - 07', 'fayzabad area', 'hostile', 'combat', '1 wia'], ['2009 - 06 - 07', 'kunduz', 'hostile', 'direct fire', '2 wia'], ['2009 - 06 - 23', 'kunduz', 'hostile', 'combat', '3 kia , 3 wia'], ['2009 - 08 - 03', 'sheberghan', 'non - hostile', 'traffic accident', '6 wia'], ['2009 - 08 - 07', 'kunduz', 'hostile', 'direct fire', '1 wia'], ['2009 - 08 - 15', 'kunduz', 'hostile', 'direct fire', '1 wia'], ['2009 - 09 - 03', 'kunduz', 'hostile', 'combat', '4 wia'], ['2009 - 09 - 05', 'kunduz', 'hostile', 'svbied attack', '5 wia'], ['2009 - 09 - 16', 'kunduz', 'hostile', 'combat', '8 wia'], ['2009 - 11 - 11', 'kunduz', 'hostile', 'direct fire', '1 wia'], ['2009 - 12 - 05', 'mazar - i - sharif', 'non - hostile', 'accidental explosion', '3 injured'], ['2009 - 12 - 14', 'eshkashem', 'non - hostile', 'accident', '5 injured'], ['2009 - 12 - 16', 'kunduz', 'hostile', 'combat', '2 wia']] |
ajpw junior league | https://en.wikipedia.org/wiki/AJPW_Junior_League | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11934531-7.html.csv | unique | the wrestling match between ryuji hijikata and shuji kondo was the only one with a time under one minute in the '08 season of the ajpw junior league final standings . | {'scope': 'all', 'row': '1', 'col': '3', 'col_other': '1', 'criterion': 'equal', 'value': 'kondo ( 0:33 )', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'shuji kondo', 'kondo ( 0:33 )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose shuji kondo record fuzzily matches to kondo ( 0:33 ) .', 'tostr': 'filter_eq { all_rows ; shuji kondo ; kondo ( 0:33 ) }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; shuji kondo ; kondo ( 0:33 ) } }', 'tointer': 'select the rows whose shuji kondo record fuzzily matches to kondo ( 0:33 ) . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'shuji kondo', 'kondo ( 0:33 )'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose shuji kondo record fuzzily matches to kondo ( 0:33 ) .', 'tostr': 'filter_eq { all_rows ; shuji kondo ; kondo ( 0:33 ) }'}, 'block a'], 'result': 'ryuji hijikata', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; shuji kondo ; kondo ( 0:33 ) } ; block a }'}, 'ryuji hijikata'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; shuji kondo ; kondo ( 0:33 ) } ; block a } ; ryuji hijikata }', 'tointer': 'the block a record of this unqiue row is ryuji hijikata .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; shuji kondo ; kondo ( 0:33 ) } } ; eq { hop { filter_eq { all_rows ; shuji kondo ; kondo ( 0:33 ) } ; block a } ; ryuji hijikata } } = true', 'tointer': 'select the rows whose shuji kondo record fuzzily matches to kondo ( 0:33 ) . there is only one such row in the table . the block a record of this unqiue row is ryuji hijikata .'} | and { only { filter_eq { all_rows ; shuji kondo ; kondo ( 0:33 ) } } ; eq { hop { filter_eq { all_rows ; shuji kondo ; kondo ( 0:33 ) } ; block a } ; ryuji hijikata } } = true | select the rows whose shuji kondo record fuzzily matches to kondo ( 0:33 ) . there is only one such row in the table . the block a record of this unqiue row is ryuji hijikata . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'shuji kondo_7': 7, 'kondo (0:33)_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'block a_9': 9, 'ryuji hijikata_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'shuji kondo_7': 'shuji kondo', 'kondo (0:33)_8': 'kondo ( 0:33 )', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'block a_9': 'block a', 'ryuji hijikata_10': 'ryuji hijikata'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'shuji kondo_7': [0], 'kondo (0:33)_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'block a_9': [2], 'ryuji hijikata_10': [3]} | ['block a', 'ryuji hijikata', 'shuji kondo', 'mazada', 'el samurai'] | [['ryuji hijikata', 'x', 'kondo ( 0:33 )', 'hijikata ( 14:24 )', 'samurai ( 10:58 )'], ['kai', 'draw ( 30:00 )', 'kondo ( 18:49 )', 'kai ( 9:48 )', 'kai ( 11:51 )'], ['shuji kondo', 'kondo ( 0:33 )', 'x', 'mazada ( 16:32 )', 'samurai ( 10:03 )'], ['mazada', 'hijikata ( 14:24 )', 'mazada ( 16:32 )', 'x', 'mazada ( 16:22 )'], ['el samurai', 'samurai ( 10:58 )', 'samurai ( 10:03 )', 'mazada ( 16:22 )', 'x'], ['block b', 'phil atlas', 'silver king', 't28', 'takemura'], ['phil atlas', 'x', 'king ( 11:33 )', 'draw ( 30:00 )', 'takemura ( 13:54 )'], ['kaz hayashi', 'atlas ( 10:45 )', 'hayashi ( 14:20 )', 'hayashi ( 13:52 )', 'takemura ( 13:24 )'], ['silver king', 'king ( 11:33 )', 'x', 'king ( 10:10 )', 'king ( 14:03 )'], ['t28', 'draw ( 30:00 )', 'king ( 10:10 )', 'x', 't28 ( 16:32 )'], ['takemura', 'takemura ( 13:54 )', 'king ( 14:03 )', 't28 ( 16:32 )', 'x']] |
charmed ( season 3 ) | https://en.wikipedia.org/wiki/Charmed_%28season_3%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-21165255-1.html.csv | comparative | we all scream for ice cream originally aired before the demon who came in from the cold . | {'row_1': '10', 'row_2': '19', 'col': '6', 'col_other': '3', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'title', 'we all scream for ice cream'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose title record fuzzily matches to we all scream for ice cream .', 'tostr': 'filter_eq { all_rows ; title ; we all scream for ice cream }'}, 'original air date'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; title ; we all scream for ice cream } ; original air date }', 'tointer': 'select the rows whose title record fuzzily matches to we all scream for ice cream . take the original air date record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'title', 'the demon who came in from the cold'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose title record fuzzily matches to the demon who came in from the cold .', 'tostr': 'filter_eq { all_rows ; title ; the demon who came in from the cold }'}, 'original air date'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; title ; the demon who came in from the cold } ; original air date }', 'tointer': 'select the rows whose title record fuzzily matches to the demon who came in from the cold . take the original air date record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; title ; we all scream for ice cream } ; original air date } ; hop { filter_eq { all_rows ; title ; the demon who came in from the cold } ; original air date } } = true', 'tointer': 'select the rows whose title record fuzzily matches to we all scream for ice cream . take the original air date record of this row . select the rows whose title record fuzzily matches to the demon who came in from the cold . take the original air date record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; title ; we all scream for ice cream } ; original air date } ; hop { filter_eq { all_rows ; title ; the demon who came in from the cold } ; original air date } } = true | select the rows whose title record fuzzily matches to we all scream for ice cream . take the original air date record of this row . select the rows whose title record fuzzily matches to the demon who came in from the cold . take the original air date 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, 'title_7': 7, 'we all scream for ice cream_8': 8, 'original air date_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'title_11': 11, 'the demon who came in from the cold_12': 12, 'original air date_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', 'title_7': 'title', 'we all scream for ice cream_8': 'we all scream for ice cream', 'original air date_9': 'original air date', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'title_11': 'title', 'the demon who came in from the cold_12': 'the demon who came in from the cold', 'original air date_13': 'original air date'} | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'title_7': [0], 'we all scream for ice cream_8': [0], 'original air date_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'title_11': [1], 'the demon who came in from the cold_12': [1], 'original air date_13': [3]} | ['no in series', 'no in season', 'title', 'directed by', 'written by', 'original air date', 'production code', 'us viewers ( millions )'] | [['45', '1', "the honeymoon 's over", 'jim conway', 'brad kern', 'october 5 , 2000', '4300045', '7.7'], ['46', '2', 'magic hour', 'john behring', 'zack estrin & chris levinson', 'october 12 , 2000', '4300046', '5.1'], ['47', '3', 'once upon a time', 'joel j feigenbaum', 'krista vernoff', 'october 19 , 2000', '4300047', '5.4'], ['48', '4', "all halliwell 's eve", 'anson williams', 'sheryl j anderson', 'october 26 , 2000', '4300048', '6.5'], ['49', '5', 'sight unseen', 'perry lang', 'william schmidt', 'november 2 , 2000', '4300049', '5.7'], ['50', '6', 'primrose empath', 'mel damski', 'daniel cerone', 'november 9 , 2000', '4300051', '6.1'], ['51', '7', 'power outage', 'craig zisk', 'monica breen & alison schapker', 'november 16 , 2000', '4300050', '5.7'], ['52', '8', 'sleuthing with the enemy', 'noel nosseck', 'peter hume', 'december 14 , 2000', '4300052', '5.5'], ['53', '9', 'coyote piper', 'chris long', 'krista vernoff', 'january 11 , 2001', '4300053', '5.1'], ['54', '10', 'we all scream for ice cream', 'allan kroeker', 'chris levinson & zack estrin', 'january 18 , 2001', '4300054', '5.4'], ['55', '11', 'blinded by the whitelighter', 'david straiton', 'nell scovell', 'january 25 , 2001', '4300055', '5.4'], ['56', '12', 'wrestling with demons', 'joel j feigenbaum', 'sheryl j anderson', 'february 1 , 2001', '4300056', '5.9'], ['57', '13', 'bride and gloom', 'chris long', 'william schmidt', 'february 8 , 2001', '4300057', '5.4'], ['58', '14', 'the good , the bad and the cursed', 'shannen doherty', 'monica breen & alison schapker', 'february 15 , 2001', '4300058', '5.1'], ['59', '15', 'just harried', 'mel damski', 'daniel cerone', 'february 22 , 2001', '4300059', '5.8'], ['60', '16', 'death takes a halliwell', 'jon pare', 'krista vernoff', 'march 15 , 2001', '4300060', '5.4'], ['61', '17', 'pre - witched', 'david straiton', 'chris levinson & zack estrin', 'march 22 , 2001', '4300061', '5.1'], ['62', '18', 'sin francisco', 'joel j feigenbaum', 'nell scovell', 'april 19 , 2001', '4300062', '4.0'], ['63', '19', 'the demon who came in from the cold', 'anson williams', 'sheryl j anderson', 'april 26 , 2001', '4300063', '3.6'], ['64', '20', 'exit strategy', 'joel j feigenbaum', 'peter hume & daniel cerone', 'may 3 , 2001', '4300064', '4.1']] |
davíd garza pérez | https://en.wikipedia.org/wiki/Dav%C3%ADd_Garza_P%C3%A9rez | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-15568742-1.html.csv | comparative | davíd garza pérez was on team eurointernational earlier than he was on us racetronics . | {'row_1': '6', 'row_2': '5', 'col': '1', 'col_other': '3', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', 'eurointernational'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose team record fuzzily matches to eurointernational .', 'tostr': 'filter_eq { all_rows ; team ; eurointernational }'}, 'season'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; team ; eurointernational } ; season }', 'tointer': 'select the rows whose team record fuzzily matches to eurointernational . take the season record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'team', 'us racetronics'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose team record fuzzily matches to us racetronics .', 'tostr': 'filter_eq { all_rows ; team ; us racetronics }'}, 'season'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; team ; us racetronics } ; season }', 'tointer': 'select the rows whose team record fuzzily matches to us racetronics . take the season record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; team ; eurointernational } ; season } ; hop { filter_eq { all_rows ; team ; us racetronics } ; season } } = true', 'tointer': 'select the rows whose team record fuzzily matches to eurointernational . take the season record of this row . select the rows whose team record fuzzily matches to us racetronics . take the season record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; team ; eurointernational } ; season } ; hop { filter_eq { all_rows ; team ; us racetronics } ; season } } = true | select the rows whose team record fuzzily matches to eurointernational . take the season record of this row . select the rows whose team record fuzzily matches to us racetronics . take the season 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, 'team_7': 7, 'eurointernational_8': 8, 'season_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'team_11': 11, 'us racetronics_12': 12, 'season_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', 'team_7': 'team', 'eurointernational_8': 'eurointernational', 'season_9': 'season', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'team_11': 'team', 'us racetronics_12': 'us racetronics', 'season_13': 'season'} | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'team_7': [0], 'eurointernational_8': [0], 'season_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'team_11': [1], 'us racetronics_12': [1], 'season_13': [3]} | ['season', 'series', 'team', 'races', 'wins', 'poles', 'fast laps', 'points', 'pos'] | [['2009', 'champ car atlantic', 'jensen motorsport', '2', '0', '0', '0', '8', '17th'], ['2008 - 09', 'a1 grand prix', 'a1 team mexico', '4', '0', '0', '0', '19', '13th ( 1 )'], ['2008', 'champ car atlantic', 'forsythe championship racing', '6', '0', '0', '0', '94', '13th'], ['2007 - 08', 'a1 grand prix', 'a1 team mexico', '10', '0', '0', '0', '5', '16th ( 1 )'], ['2007', 'champ car atlantic', 'us racetronics', '12', '0', '0', '0', '78', '17th'], ['2006', 'formula bmw usa', 'eurointernational', '14', '0', '2', '0', '42', '10th']] |
1999 - 2000 philadelphia flyers season | https://en.wikipedia.org/wiki/1999%E2%80%932000_Philadelphia_Flyers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14173105-4.html.csv | superlative | in the 1999-2000 philadelphia flyers season , the game with the highest points scored was against the ottawa senators . | {'scope': 'all', 'col_superlative': '6', 'row_superlative': '12', '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', 'points'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; points }'}, 'opponent'], 'result': 'ottawa senators', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; points } ; opponent }'}, 'ottawa senators'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; points } ; opponent } ; ottawa senators } = true', 'tointer': 'select the row whose points record of all rows is maximum . the opponent record of this row is ottawa senators .'} | eq { hop { argmax { all_rows ; points } ; opponent } ; ottawa senators } = true | select the row whose points record of all rows is maximum . the opponent record of this row is ottawa senators . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'points_5': 5, 'opponent_6': 6, 'ottawa senators_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'points_5': 'points', 'opponent_6': 'opponent', 'ottawa senators_7': 'ottawa senators'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'points_5': [0], 'opponent_6': [1], 'ottawa senators_7': [2]} | ['game', 'november', 'opponent', 'score', 'record', 'points'] | [['14', '3', 'mighty ducks of anaheim', '3 - 3 ot', '6 - 5 - 2 - 1', '15'], ['15', '5', 'san jose sharks', '3 - 1', '7 - 5 - 2 - 1', '17'], ['16', '6', 'los angeles kings', '5 - 3', '8 - 5 - 2 - 1', '19'], ['17', '9', 'new jersey devils', '1 - 2', '8 - 6 - 2 - 1', '19'], ['18', '11', 'carolina hurricanes', '4 - 1', '9 - 6 - 2 - 1', '21'], ['19', '13', 'san jose sharks', '3 - 2', '10 - 6 - 2 - 1', '23'], ['20', '18', 'dallas stars', '1 - 1 ot', '10 - 6 - 3 - 1', '24'], ['21', '20', 'tampa bay lightning', '4 - 1', '11 - 6 - 3 - 1', '26'], ['22', '22', 'tampa bay lightning', '1 - 4', '11 - 7 - 3 - 1', '26'], ['23', '24', 'florida panthers', '6 - 1', '12 - 7 - 3 - 1', '28'], ['24', '26', 'toronto maple leafs', '3 - 2 ot', '13 - 7 - 3 - 1', '30'], ['25', '28', 'ottawa senators', '3 - 3 ot', '13 - 7 - 4 - 1', '31']] |
indianapolis colts draft history | https://en.wikipedia.org/wiki/Indianapolis_Colts_draft_history | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13312898-54.html.csv | unique | dreddie keiaho was the only player the indianapolis colts drafted from san diego state college . | {'scope': 'all', 'row': '3', 'col': '6', 'col_other': '4', 'criterion': 'equal', 'value': 'san diego state', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'college', 'san diego state'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose college record fuzzily matches to san diego state .', 'tostr': 'filter_eq { all_rows ; college ; san diego state }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; college ; san diego state } }', 'tointer': 'select the rows whose college record fuzzily matches to san diego state . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'college', 'san diego state'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose college record fuzzily matches to san diego state .', 'tostr': 'filter_eq { all_rows ; college ; san diego state }'}, 'name'], 'result': 'freddie keiaho', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; college ; san diego state } ; name }'}, 'freddie keiaho'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; college ; san diego state } ; name } ; freddie keiaho }', 'tointer': 'the name record of this unqiue row is freddie keiaho .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; college ; san diego state } } ; eq { hop { filter_eq { all_rows ; college ; san diego state } ; name } ; freddie keiaho } } = true', 'tointer': 'select the rows whose college record fuzzily matches to san diego state . there is only one such row in the table . the name record of this unqiue row is freddie keiaho .'} | and { only { filter_eq { all_rows ; college ; san diego state } } ; eq { hop { filter_eq { all_rows ; college ; san diego state } ; name } ; freddie keiaho } } = true | select the rows whose college record fuzzily matches to san diego state . there is only one such row in the table . the name record of this unqiue row is freddie keiaho . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'college_7': 7, 'san diego state_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'freddie keiaho_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', 'san diego state_8': 'san diego state', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'freddie keiaho_10': 'freddie keiaho'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'college_7': [0], 'san diego state_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'freddie keiaho_10': [3]} | ['round', 'pick', 'overall', 'name', 'position', 'college'] | [['1', '30', '30', 'joseph addai', 'running back', 'lsu'], ['2', '30', '62', 'tim jennings', 'cornerback', 'georgia'], ['3', '30', '94', 'freddie keiaho', 'linebacker', 'san diego state'], ['5', '29', '162', 'michael toudouze', 'guard', 'tcu'], ['6', '30', '199', 'charlie johnson', 'offensive tackle', 'oklahoma state'], ['6', '38', '207', 'antoine bethea', 'safety', 'howard'], ['7', '30', '238', 'tj rushing', 'cornerback', 'stanford']] |
taylor dent | https://en.wikipedia.org/wiki/Taylor_Dent | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1551815-5.html.csv | count | of all of the tournaments that taylor dent participated in , 5 were on a hard surface . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'hard', 'result': '5', 'col': '4', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'surface', 'hard'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose surface record fuzzily matches to hard .', 'tostr': 'filter_eq { all_rows ; surface ; hard }'}], 'result': '5', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; surface ; hard } }', 'tointer': 'select the rows whose surface record fuzzily matches to hard . the number of such rows is 5 .'}, '5'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; surface ; hard } } ; 5 } = true', 'tointer': 'select the rows whose surface record fuzzily matches to hard . the number of such rows is 5 .'} | eq { count { filter_eq { all_rows ; surface ; hard } } ; 5 } = true | select the rows whose surface record fuzzily matches to hard . the number of such rows is 5 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'surface_5': 5, 'hard_6': 6, '5_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'surface_5': 'surface', 'hard_6': 'hard', '5_7': '5'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'surface_5': [0], 'hard_6': [0], '5_7': [2]} | ['outcome', 'date ( final )', 'tournament', 'surface', 'opponent in the final', 'score'] | [['winner', 'july 7 2002', 'newport , united states', 'grass', 'james blake', '6 - 1 , 4 - 6 , 6 - 4'], ['winner', 'february 17 , 2003', 'memphis , united states', 'hard ( i )', 'andy roddick', '6 - 1 , 6 - 4'], ['winner', 'september 22 , 2003', 'bangkok , thailand', 'hard ( i )', 'juan carlos ferrero', '6 - 3 , 7 - 6 ( 7 - 5 )'], ['winner', 'september 29 2003', 'moscow , russia', 'carpet ( i )', 'sargis sargsian', '7 - 6 ( 7 - 5 ) , 6 - 4'], ['runner - up', 'october 10 , 2004', 'tokyo , japan', 'hard', 'jiří novák', '7 - 5 , 1 - 6 , 3 - 6'], ['runner - up', 'january 9 2005', 'adelaide , australia', 'hard', 'joachim johansson', '5 - 7 , 3 - 6'], ['runner - up', 'july 24 2005', 'indianapolis , united states', 'hard', 'robby ginepri', '6 - 4 , 3 - 6 , 0 - 3 , ret']] |
1978 - 79 new york rangers season | https://en.wikipedia.org/wiki/1978%E2%80%9379_New_York_Rangers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14056030-13.html.csv | comparative | dan clark was drafted in an earlier round than todd johnson in the 1978 - 79 new york rangers season . | {'row_1': '7', 'row_2': '14', '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', 'player', 'tom laidlaw'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record fuzzily matches to tom laidlaw .', 'tostr': 'filter_eq { all_rows ; player ; tom laidlaw }'}, 'round'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; player ; tom laidlaw } ; round }', 'tointer': 'select the rows whose player record fuzzily matches to tom laidlaw . take the round record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'player', 'chris mclaughlin'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose player record fuzzily matches to chris mclaughlin .', 'tostr': 'filter_eq { all_rows ; player ; chris mclaughlin }'}, 'round'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; player ; chris mclaughlin } ; round }', 'tointer': 'select the rows whose player record fuzzily matches to chris mclaughlin . take the round record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; player ; tom laidlaw } ; round } ; hop { filter_eq { all_rows ; player ; chris mclaughlin } ; round } } = true', 'tointer': 'select the rows whose player record fuzzily matches to tom laidlaw . take the round record of this row . select the rows whose player record fuzzily matches to chris mclaughlin . take the round record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; player ; tom laidlaw } ; round } ; hop { filter_eq { all_rows ; player ; chris mclaughlin } ; round } } = true | select the rows whose player record fuzzily matches to tom laidlaw . take the round record of this row . select the rows whose player record fuzzily matches to chris mclaughlin . take the round record of this row . the first record is less than the second record . | 5 | 5 | {'less_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'player_7': 7, 'tom laidlaw_8': 8, 'round_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'player_11': 11, 'chris mclaughlin_12': 12, 'round_13': 13} | {'less_4': 'less', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'player_7': 'player', 'tom laidlaw_8': 'tom laidlaw', 'round_9': 'round', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'player_11': 'player', 'chris mclaughlin_12': 'chris mclaughlin', 'round_13': 'round'} | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'player_7': [0], 'tom laidlaw_8': [0], 'round_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'player_11': [1], 'chris mclaughlin_12': [1], 'round_13': [3]} | ['round', 'player', 'position', 'nationality', 'college / junior / club team ( league )'] | [['2', 'don maloney', 'lw', 'canada', 'kitchener rangers ( oha )'], ['3', 'ray markham', 'c', 'canada', 'flin flon bombers ( wchl )'], ['3', 'dean turner', 'd', 'united states', 'university of michigan ( ncaa )'], ['4', 'dave silk', 'rw', 'united states', 'boston university ( ncaa )'], ['4', 'andre dore', 'd', 'canada', 'quebec remparts ( qmjhl )'], ['5', 'mike mcdougall', 'rw', 'united states', 'port huron flags ( ihl )'], ['6', 'tom laidlaw', 'd', 'canada', 'northern michigan university ( ncaa )'], ['7', 'dan clark', 'd', 'canada', 'milwaukee admirals ( ihl )'], ['8', 'greg kostenko', 'd', 'canada', 'ohio state university ( ncaa )'], ['9', 'brian mcdavid', 'd', 'canada', 'kitchener rangers ( oha )'], ['10', 'mark rodrigues', 'g', 'united states', 'yale university ( ncaa )'], ['11', 'steve weeks', 'g', 'canada', 'northern michigan university ( ncaa )'], ['12', 'pierre daigneault', 'lw', 'canada', 'montreal juniors ( qmjhl )'], ['13', 'chris mclaughlin', 'd', 'united states', 'dartmouth college ( ncaa )'], ['14', 'todd johnson', 'c', 'united states', 'boston university ( ncaa )'], ['15', 'dan mccarthy', 'c', 'canada', 'sudbury wolves ( oha )']] |
2001 lff lyga | https://en.wikipedia.org/wiki/2001_LFF_Lyga | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-18018214-1.html.csv | majority | all of the clubs competing in the 2001 lff lyga each played 36 games . | {'scope': 'all', 'col': '3', 'most_or_all': 'all', 'criterion': 'equal', 'value': '36', 'subset': None} | {'func': 'all_eq', 'args': ['all_rows', 'games played', '36'], 'result': True, 'ind': 0, 'tointer': 'for the games played records of all rows , all of them are equal to 36 .', 'tostr': 'all_eq { all_rows ; games played ; 36 } = true'} | all_eq { all_rows ; games played ; 36 } = true | for the games played records of all rows , all of them are equal to 36 . | 1 | 1 | {'all_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'games played_3': 3, '36_4': 4} | {'all_eq_0': 'all_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'games played_3': 'games played', '36_4': '36'} | {'all_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'games played_3': [0], '36_4': [0]} | ['position', 'club', 'games played', 'wins', 'draws', 'loses', 'goals scored', 'goals conceded', 'points'] | [['1', 'fbk kaunas', '36', '26', '7', '3', '76', '13', '85'], ['2', 'fk atlantas', '36', '19', '12', '5', '66', '29', '69'], ['3', 'fk žalgiris vilnius', '36', '20', '9', '7', '64', '39', '69'], ['4', 'fk ekranas', '36', '15', '10', '11', '58', '38', '55'], ['5', 'inkaras kaunas', '36', '11', '12', '13', '50', '44', '45'], ['6', 'geležinis vilkas vilnius', '36', '10', '6', '20', '42', '69', '36'], ['7', 'nevėžis kėdainiai', '36', '8', '11', '17', '33', '54', '35'], ['8', 'sakalas šiauliai', '36', '7', '13', '16', '32', '61', '34'], ['9', 'vėtra rūdiškės', '36', '7', '11', '18', '32', '57', '32']] |
2009 pga championship | https://en.wikipedia.org/wiki/2009_PGA_Championship | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18786347-1.html.csv | comparative | in the 2009 pga championship , tiger woods had a lower total compared to phil mickelson . | {'row_1': '1', 'row_2': '7', 'col': '4', 'col_other': '1', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'player', 'tiger woods'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record fuzzily matches to tiger woods .', 'tostr': 'filter_eq { all_rows ; player ; tiger woods }'}, 'total'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; player ; tiger woods } ; total }', 'tointer': 'select the rows whose player record fuzzily matches to tiger woods . take the total record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'player', 'phil mickelson'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose player record fuzzily matches to phil mickelson .', 'tostr': 'filter_eq { all_rows ; player ; phil mickelson }'}, 'total'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; player ; phil mickelson } ; total }', 'tointer': 'select the rows whose player record fuzzily matches to phil mickelson . take the total record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; player ; tiger woods } ; total } ; hop { filter_eq { all_rows ; player ; phil mickelson } ; total } } = true', 'tointer': 'select the rows whose player record fuzzily matches to tiger woods . take the total record of this row . select the rows whose player record fuzzily matches to phil mickelson . take the total record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; player ; tiger woods } ; total } ; hop { filter_eq { all_rows ; player ; phil mickelson } ; total } } = true | select the rows whose player record fuzzily matches to tiger woods . take the total record of this row . select the rows whose player record fuzzily matches to phil mickelson . take the total record of this row . the first record is less than the second record . | 5 | 5 | {'less_4': 4, 'result_5': 5, 'num_hop_2': 2, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'player_7': 7, 'tiger woods_8': 8, 'total_9': 9, 'num_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'player_11': 11, 'phil mickelson_12': 12, 'total_13': 13} | {'less_4': 'less', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'player_7': 'player', 'tiger woods_8': 'tiger woods', 'total_9': 'total', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'player_11': 'player', 'phil mickelson_12': 'phil mickelson', 'total_13': 'total'} | {'less_4': [5], 'result_5': [], 'num_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'player_7': [0], 'tiger woods_8': [0], 'total_9': [2], 'num_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'player_11': [1], 'phil mickelson_12': [1], 'total_13': [3]} | ['player', 'country', 'year ( s ) won', 'total', 'to par', 'finish'] | [['tiger woods', 'united states', '1999 , 2000 , 2006 , 2007', '283', '- 5', '2'], ['pádraig harrington', 'ireland', '2008', '288', 'e', 't10'], ['vijay singh', 'fiji', '1998 , 2004', '289', '+ 1', 't16'], ['david toms', 'united states', '2001', '293', '+ 5', 't36'], ['rich beem', 'united states', '2002', '294', '+ 6', 't43'], ['bob tway', 'united states', '1986', '217', '+ 8', 't56'], ['phil mickelson', 'united states', '2005', '300', '+ 12', '73']] |
1977 san francisco 49ers season | https://en.wikipedia.org/wiki/1977_San_Francisco_49ers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18673955-1.html.csv | majority | the san francisco 49ers lost all their games in the month of september during the 1977 season . | {'scope': 'subset', 'col': '4', 'most_or_all': 'all', 'criterion': 'fuzzily_match', 'value': 'l', 'subset': {'col': '2', 'criterion': 'fuzzily_match', 'value': 'september'}} | {'func': 'all_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'date', 'september'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; date ; september }', 'tointer': 'select the rows whose date record fuzzily matches to september .'}, 'result', 'l'], 'result': True, 'ind': 1, 'tointer': 'select the rows whose date record fuzzily matches to september . for the result records of these rows , all of them fuzzily match to l .', 'tostr': 'all_eq { filter_eq { all_rows ; date ; september } ; result ; l } = true'} | all_eq { filter_eq { all_rows ; date ; september } ; result ; l } = true | select the rows whose date record fuzzily matches to september . for the result records of these rows , all of them fuzzily match to l . | 2 | 2 | {'all_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'date_4': 4, 'september_5': 5, 'result_6': 6, 'l_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', 'september_5': 'september', 'result_6': 'result', 'l_7': 'l'} | {'all_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'date_4': [0], 'september_5': [0], 'result_6': [1], 'l_7': [1]} | ['week', 'date', 'opponent', 'result', 'attendance'] | [['1', 'september 19 , 1977', 'pittsburgh steelers', 'l 27 - 0', '48046'], ['2', 'september 25 , 1977', 'miami dolphins', 'l 19 - 15', '40503'], ['3', 'october 2 , 1977', 'los angeles rams', 'l 34 - 14', '55466'], ['4', 'october 9 , 1977', 'atlanta falcons', 'l 7 - 0', '38009'], ['5', 'october 16 , 1977', 'new york giants', 'l 20 - 17', '70366'], ['6', 'october 23 , 1977', 'detroit lions', 'w 28 - 7', '39392'], ['7', 'october 30 , 1977', 'tampa bay buccaneers', 'w 20 - 10', '34700'], ['8', 'november 6 , 1977', 'atlanta falcons', 'w 10 - 3', '46577'], ['9', 'november 13 , 1977', 'new orleans saints', 'w 10 - 7', '41564'], ['10', 'november 20 , 1977', 'los angeles rams', 'l 23 - 10', '56779'], ['11', 'november 27 , 1977', 'new orleans saints', 'w 20 - 17', '33702'], ['12', 'december 4 , 1977', 'minnesota vikings', 'l 28 - 27', '40745'], ['13', 'december 12 , 1977', 'dallas cowboys', 'l 42 - 35', '55851'], ['14', 'december 18 , 1977', 'green bay packers', 'l 16 - 14', '44902']] |
2005 masters tournament | https://en.wikipedia.org/wiki/2005_Masters_Tournament | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16147528-5.html.csv | unique | in the 2005 masters tournament , mark hensby was the only player from australia . | {'scope': 'all', 'row': '6', 'col': '3', 'col_other': '2', 'criterion': 'equal', 'value': 'australia', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'australia'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose country record fuzzily matches to australia .', 'tostr': 'filter_eq { all_rows ; country ; australia }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; country ; australia } }', 'tointer': 'select the rows whose country record fuzzily matches to australia . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'country', 'australia'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose country record fuzzily matches to australia .', 'tostr': 'filter_eq { all_rows ; country ; australia }'}, 'player'], 'result': 'mark hensby', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; country ; australia } ; player }'}, 'mark hensby'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; country ; australia } ; player } ; mark hensby }', 'tointer': 'the player record of this unqiue row is mark hensby .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; country ; australia } } ; eq { hop { filter_eq { all_rows ; country ; australia } ; player } ; mark hensby } } = true', 'tointer': 'select the rows whose country record fuzzily matches to australia . there is only one such row in the table . the player record of this unqiue row is mark hensby .'} | and { only { filter_eq { all_rows ; country ; australia } } ; eq { hop { filter_eq { all_rows ; country ; australia } ; player } ; mark hensby } } = true | select the rows whose country record fuzzily matches to australia . there is only one such row in the table . the player record of this unqiue row is mark hensby . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'country_7': 7, 'australia_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'mark hensby_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'country_7': 'country', 'australia_8': 'australia', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'mark hensby_10': 'mark hensby'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'country_7': [0], 'australia_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'mark hensby_10': [3]} | ['place', 'player', 'country', 'score', 'to par'] | [['1', 'chris dimarco', 'united states', '67 + 67 = 134', '- 10'], ['2', 'thomas bjørn', 'denmark', '71 + 67 = 138', '- 6'], ['3', 'tiger woods', 'united states', '74 + 66 = 140', '- 4'], ['t4', 'david howell', 'england', '72 + 69 = 141', '- 3'], ['t4', 'vijay singh', 'fiji', '68 + 73 = 141', '- 3'], ['t6', 'mark hensby', 'australia', '69 + 73 = 142', '- 2'], ['t6', 'phil mickelson', 'united states', '70 + 72 = 142', '- 2'], ['t6', 'ryan moore ( a )', 'united states', '71 + 71 = 142', '- 2'], ['t9', 'jim furyk', 'united states', '76 + 67 = 143', '- 1'], ['t9', 'kirk triplett', 'united states', '75 + 68 = 143', '- 1']] |
kiwirail | https://en.wikipedia.org/wiki/KiwiRail | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18217231-2.html.csv | aggregation | kiwirail has a total of 310 locomotives currently in service . | {'scope': 'all', 'col': '4', 'type': 'sum', 'result': '310', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'number in service'], 'result': '310', 'ind': 0, 'tostr': 'sum { all_rows ; number in service }'}, '310'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; number in service } ; 310 } = true', 'tointer': 'the sum of the number in service record of all rows is 310 .'} | round_eq { sum { all_rows ; number in service } ; 310 } = true | the sum of the number in service record of all rows is 310 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'number in service_4': 4, '310_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'number in service_4': 'number in service', '310_5': '310'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'number in service_4': [0], '310_5': [1]} | ['class', 'introduced', 'number in class', 'number in service', 'power output ( kw )'] | [['dbr', '1980', '10', '7', '709'], ['dc', '1978 - 1981', '85', '69', '1230'], ['dft', '1979 - 1981', '30', '29', '1800'], ['dh', '1979', '6', '6', '672'], ['dl', '2010 -', '48', '40', '2700'], ['dsc', '1959 - 1967', '70', '44', '315'], ['dsg', '1981', '24', '24', '700'], ['dsj', '1982', '5', '5', '350'], ['dx', '1972 - 1975', '49', '46', '2240'], ['dxr', '1993', '2', '2', '2420'], ['ef', '1988 - 1989', '22', '17', '3000'], ['tr', '1936 - 1978', '90', '21', '138']] |
1996 - 97 new york rangers season | https://en.wikipedia.org/wiki/1996%E2%80%9397_New_York_Rangers_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14034799-8.html.csv | unique | the game on april 1 was the only one to end in a tie score . | {'scope': 'all', 'row': '1', 'col': '4', 'col_other': '2', 'criterion': 'fuzzily_match', 'value': '1-1', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'score', '1-1'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose score record fuzzily matches to 1-1 .', 'tostr': 'filter_eq { all_rows ; score ; 1-1 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; score ; 1-1 } }', 'tointer': 'select the rows whose score record fuzzily matches to 1-1 . there is only one such row in the table .'}, {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'score', '1-1'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose score record fuzzily matches to 1-1 .', 'tostr': 'filter_eq { all_rows ; score ; 1-1 }'}, 'april'], 'result': '1', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; score ; 1-1 } ; april }'}, '1'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; score ; 1-1 } ; april } ; 1 }', 'tointer': 'the april record of this unqiue row is 1 .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; score ; 1-1 } } ; eq { hop { filter_eq { all_rows ; score ; 1-1 } ; april } ; 1 } } = true', 'tointer': 'select the rows whose score record fuzzily matches to 1-1 . there is only one such row in the table . the april record of this unqiue row is 1 .'} | and { only { filter_eq { all_rows ; score ; 1-1 } } ; eq { hop { filter_eq { all_rows ; score ; 1-1 } ; april } ; 1 } } = true | select the rows whose score record fuzzily matches to 1-1 . there is only one such row in the table . the april record of this unqiue row is 1 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'score_7': 7, '1-1_8': 8, 'eq_3': 3, 'num_hop_2': 2, 'april_9': 9, '1_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'score_7': 'score', '1-1_8': '1-1', 'eq_3': 'eq', 'num_hop_2': 'num_hop', 'april_9': 'april', '1_10': '1'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'score_7': [0], '1-1_8': [0], 'eq_3': [4], 'num_hop_2': [3], 'april_9': [2], '1_10': [3]} | ['game', 'april', 'opponent', 'score', 'record'] | [['77', '1', 'buffalo sabres', '1 - 1 ot', '35 - 32 - 10'], ['78', '3', 'boston bruins', '5 - 4', '36 - 32 - 10'], ['79', '4', 'buffalo sabres', '5 - 1', '36 - 33 - 10'], ['80', '7', 'philadelphia flyers', '3 - 2', '37 - 33 - 10'], ['81', '10', 'philadelphia flyers', '6 - 3', '38 - 33 - 10'], ['82', '11', 'tampa bay lightning', '4 - 2', '38 - 34 - 10']] |
list of earthquakes in iran | https://en.wikipedia.org/wiki/List_of_earthquakes_in_Iran | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10677198-1.html.csv | count | eight eartquakes in iran during 2002-2013 happened in the am . | {'scope': 'all', 'criterion': 'equal', 'value': 'am', 'result': '0', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'time', 'am'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose time record fuzzily matches to am .', 'tostr': 'filter_eq { all_rows ; time ; am }'}], 'result': '0', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; time ; am } }', 'tointer': 'select the rows whose time record fuzzily matches to am . the number of such rows is 0 .'}, '0'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; time ; am } } ; 0 } = true', 'tointer': 'select the rows whose time record fuzzily matches to am . the number of such rows is 0 .'} | eq { count { filter_eq { all_rows ; time ; am } } ; 0 } = true | select the rows whose time record fuzzily matches to am . the number of such rows is 0 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_str_eq_0': 0, 'all_rows_4': 4, 'time_5': 5, 'am_6': 6, '0_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'time_5': 'time', 'am_6': 'am', '0_7': '0'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'time_5': [0], 'am_6': [0], '0_7': [2]} | ['date', 'time', 'epicenter', 'magnitude', 'fatalities', 'name'] | [['apr 16 , 2013', '10:44:13', 'saravan , iran', '7.8', '1 ( non - residential area , due to landslide )', '2013 sistan and baluchestan earthquake'], ['apr 9 , 2013', '16:22:50', 'bushehr', '6.3', '30 ( early estimate )', '2013 bushehr earthquake'], ['aug 11 , 2012', '12:23:18', 'tabriz', '6.4 and 6.3', '306', '2012 tabriz earthquakes'], ['jun 15 , 2011', '01:05:30', 'kahnooj', '5.3', '2', '2011 kahnooj earthquake'], ['dec 20 , 2010', '22:12:01', 'hosseinabad', '6.5', '11', '2010 hosseinabad earthquake'], ['aug 27 , 2010', '23:56:34', 'damghan', '5.9', '19', '2010 damghan earthquake'], ['sep 10 , 2008', '11:00:34', 'qeshm', '6.1', '7', '2008 bandar abbas earthquake'], ['march 31 , 2006', '01:17:01', 'borujerd', '6.1', '70', '2006 borujerd earthquake'], ['november 27 , 2005', '10:22:19', 'qeshm', '6.0', '13', '2005 qeshm earthquake'], ['february 22 , 2005', '02:25:22', 'zarand', '6.4', 'least 602', '2005 zarand earthquake'], ['may 28 , 2004', '12:38:46', 'm훮zandar훮n', '6.3', 'least 35', '2004 m훮zandar훮n earthquake'], ['december 26 , 2003', '01:56:52', 'bam', '6.6', 'least 30000', '2003 bam earthquake'], ['june 22 , 2002', '02:58:21', 'qazvin', '6.5', '262', "2002 bou'in - zahra earthquake"]] |
toppserien | https://en.wikipedia.org/wiki/Toppserien | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2522473-1.html.csv | aggregation | the current toppserien teams have been in the league for an average of 15 seasons each . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '15', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'seasons'], 'result': '15', 'ind': 0, 'tostr': 'avg { all_rows ; seasons }'}, '15'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; seasons } ; 15 } = true', 'tointer': 'the average of the seasons record of all rows is 15 .'} | round_eq { avg { all_rows ; seasons } ; 15 } = true | the average of the seasons record of all rows is 15 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'seasons_4': 4, '15_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'seasons_4': 'seasons', '15_5': '15'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'seasons_4': [0], '15_5': [1]} | ['team', 'home city', 'home ground', 'in toppserien since', 'first appearance', 'seasons'] | [['amazon grimstad', 'grimstad', 'jj ugland stadion', '2006', '2006', '8'], ['arna - bjørnar', 'ytre arna ( bergen )', 'arna idrettspark', '2006', '1997', '16'], ['avaldsnes', 'avaldsnes', 'avaldsnes idrettssenter', '2013', '2013', '1'], ['klepp', 'kleppe ( stavanger )', 'klepp stadion', '1987', '1987', '27'], ['kolbotn', 'kolbotn ( oslo )', 'sofiemyr', '1995', '1995', '19'], ['lsk kvinner', 'lillestrøm ( oslo )', 'lsk - hallen', '1987', '1987', '27'], ['medkila', 'harstad', 'harstad stadion', '2013', '2004', '3'], ['røa', 'oslo', 'røabanen', '2001', '2001', '13'], ['sandviken', 'bergen', 'stemmemyren', '2011', '1987', '21'], ['stabæk', 'bærum ( oslo )', 'nadderud stadion', '2009', '2009', '5'], ['trondheims - ørn', 'trondheim', 'dnb nor arena', '1987', '1987', '27']] |
sammy mcilroy | https://en.wikipedia.org/wiki/Sammy_McIlroy | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1699550-1.html.csv | unique | the only time that sammy mcilroy qualified for the euro competition was in 1975 . | {'scope': 'all', 'row': '1', 'col': '6', 'col_other': '2', 'criterion': 'fuzzily_match', 'value': 'euro', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'competition', 'euro'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose competition record fuzzily matches to euro .', 'tostr': 'filter_eq { all_rows ; competition ; euro }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; competition ; euro } }', 'tointer': 'select the rows whose competition record fuzzily matches to euro . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'competition', 'euro'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose competition record fuzzily matches to euro .', 'tostr': 'filter_eq { all_rows ; competition ; euro }'}, 'date'], 'result': '29 october 1975', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; competition ; euro } ; date }'}, '29 october 1975'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; competition ; euro } ; date } ; 29 october 1975 }', 'tointer': 'the date record of this unqiue row is 29 october 1975 .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; competition ; euro } } ; eq { hop { filter_eq { all_rows ; competition ; euro } ; date } ; 29 october 1975 } } = true', 'tointer': 'select the rows whose competition record fuzzily matches to euro . there is only one such row in the table . the date record of this unqiue row is 29 october 1975 .'} | and { only { filter_eq { all_rows ; competition ; euro } } ; eq { hop { filter_eq { all_rows ; competition ; euro } ; date } ; 29 october 1975 } } = true | select the rows whose competition record fuzzily matches to euro . there is only one such row in the table . the date record of this unqiue row is 29 october 1975 . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'competition_7': 7, 'euro_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'date_9': 9, '29 october 1975_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'competition_7': 'competition', 'euro_8': 'euro', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'date_9': 'date', '29 october 1975_10': '29 october 1975'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'competition_7': [0], 'euro_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'date_9': [2], '29 october 1975_10': [3]} | ['goal', 'date', 'venue', 'score', 'result', 'competition'] | [['1', '29 october 1975', 'belfast , northern ireland', '2 - 0', '3 - 0', 'euro 1976 qualification'], ['2', '21 september 1977', 'belfast , northern ireland', '2 - 0', '2 - 0', '1978 world cup qualification'], ['3', '15 october 1980', 'belfast , northern ireland', '2 - 0', '3 - 0', '1982 world cup qualification'], ['4', '28 april 1982', 'belfast , northern ireland', '1 - 1', '1 - 1', '1982 british home championship'], ['5', '13 december 1983', 'belfast , northern ireland', '2 - 0', '2 - 0', '1984 british home championship']] |
2004 molson indy toronto | https://en.wikipedia.org/wiki/2004_Molson_Indy_Toronto | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-16651598-2.html.csv | aggregation | drivers in the 2004 molson indy toronto drove a total of 1,268 laps . | {'scope': 'all', 'col': '3', 'type': 'sum', 'result': '1,268', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'laps'], 'result': '1,268', 'ind': 0, 'tostr': 'sum { all_rows ; laps }'}, '1,268'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; laps } ; 1,268 } = true', 'tointer': 'the sum of the laps record of all rows is 1,268 .'} | round_eq { sum { all_rows ; laps } ; 1,268 } = true | the sum of the laps record of all rows is 1,268 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'laps_4': 4, '1,268_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'laps_4': 'laps', '1,268_5': '1,268'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'laps_4': [0], '1,268_5': [1]} | ['driver', 'team', 'laps', 'time / retired', 'grid', 'points'] | [['sébastien bourdais', 'newman / haas racing', '84', '1:45:36.930', '1', '34'], ['jimmy vasser', 'pkv racing', '84', '+ 1.396 secs', '11', '28'], ['patrick carpentier', 'forsythe racing', '84', '+ 6.731 secs', '6', '25'], ['mario haberfeld', 'walker racing', '84', '+ 7.892 secs', '14', '24'], ['paul tracy', 'forsythe racing', '84', '+ 9.665 secs', '2', '23'], ['gastón mazzacane', 'dale coyne racing', '84', '+ 14.002 secs', '16', '19'], ['alex tagliani', 'rocketsports racing', '84', '+ 28.444 secs', '9', '17'], ['ryan hunter - reay', 'herdez competition', '84', '+ 43.175 secs', '7', '15'], ['oriol servià', 'dale coyne racing', '83', '+ 1 lap', '10', '13'], ['alex sperafico', 'mi - jack conquest racing', '83', '+ 1 lap', '17', '11'], ['a j allmendinger', 'rusport', '82', '+ 2 laps', '8', '10'], ['justin wilson', 'mi - jack conquest racing', '81', '+ 3 laps', '5', '9'], ['roberto gonzález', 'pkv racing', '80', 'contact', '15', '8'], ['rodolfo lavín', 'forsythe racing', '78', 'stalled', '13', '7'], ['michel jourdain , jr', 'rusport', '73', 'contact', '12', '6'], ['memo gidley', 'rocketsports racing', '36', 'contact', '18', '5'], ['mario domínguez', 'herdez competition', '0', 'contact', '4', '4'], ['bruno junqueira', 'newman / haas racing', '0', 'contact', '3', '3']] |
1960 dallas cowboys season | https://en.wikipedia.org/wiki/1960_Dallas_Cowboys_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17946716-1.html.csv | aggregation | the average attendance in 1960 for a dallas cowboys game was 28,610 . | {'scope': 'all', 'col': '7', 'type': 'average', 'result': '28,610', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'attendance'], 'result': '28,610', 'ind': 0, 'tostr': 'avg { all_rows ; attendance }'}, '28,610'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; attendance } ; 28,610 } = true', 'tointer': 'the average of the attendance record of all rows is 28,610 .'} | round_eq { avg { all_rows ; attendance } ; 28,610 } = true | the average of the attendance record of all rows is 28,610 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'attendance_4': 4, '28,610_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'attendance_4': 'attendance', '28,610_5': '28,610'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'attendance_4': [0], '28,610_5': [1]} | ['week', 'date', 'opponent', 'result', 'game site', 'record', 'attendance'] | [['1', 'september 24 , 1960', 'pittsburgh steelers', 'l 28 - 35', 'cotton bowl', '0 - 1', '30000'], ['2', 'september 30 , 1960', 'philadelphia eagles', 'l 25 - 27', 'cotton bowl', '0 - 2', '18500'], ['3', 'october 9 , 1960', 'washington redskins', 'l 14 - 26', 'griffith stadium', '0 - 3', '21142'], ['4', 'october 16 , 1960', 'cleveland browns', 'l 7 - 48', 'cotton bowl', '0 - 4', '28500'], ['5', 'october 23 , 1960', 'st louis cardinals', 'l 10 - 12', 'busch stadium', '0 - 5', '23128'], ['6', 'october 30 , 1960', 'baltimore colts', 'l 7 - 45', 'cotton bowl', '0 - 6', '25500'], ['7', 'november 6 , 1960', 'los angeles rams', 'l 13 - 38', 'cotton bowl', '0 - 7', '16000'], ['8', 'november 13 , 1960', 'green bay packers', 'l 7 - 41', 'lambeau field', '0 - 8', '32294'], ['9', 'november 20 , 1960', 'san francisco 49ers', 'l 14 - 26', 'cotton bowl', '0 - 9', '10000'], ['10', 'november 27 , 1960', 'chicago bears', 'l 7 - 17', 'wrigley field', '0 - 10', '39951'], ['11', 'december 4 , 1960', 'new york giants', 't 31 - 31', 'yankee stadium', '0 - 10 - 1', '55033'], ['12', 'december 11 , 1960', 'detroit lions', 'l 14 - 23', 'briggs stadium', '0 - 11 - 1', '43272'], ['13', '-', '-', '-', '-', '-', '']] |
yani tseng | https://en.wikipedia.org/wiki/Yani_Tseng | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-17335602-1.html.csv | ordinal | the fourteenth tournament was on 18th march 2012 and the winners share was 225000 . | {'scope': 'all', 'row': '14', 'col': '1', 'order': '14', 'col_other': '2,8', 'max_or_min': 'min_to_max', 'value_mentioned': 'yes', 'subset': None} | {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'nth_min', 'args': ['all_rows', 'no', '14'], 'result': '14', 'ind': 0, 'tostr': 'nth_min { all_rows ; no ; 14 }', 'tointer': 'the 14th minimum no record of all rows is 14 .'}, '14'], 'result': True, 'ind': 1, 'tostr': 'eq { nth_min { all_rows ; no ; 14 } ; 14 }', 'tointer': 'the 14th minimum no record of all rows is 14 .'}, {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'no', '14'], 'result': None, 'ind': 2, 'tostr': 'nth_argmin { all_rows ; no ; 14 }'}, 'date'], 'result': '18 mar 2012', 'ind': 3, 'tostr': 'hop { nth_argmin { all_rows ; no ; 14 } ; date }'}, '18 mar 2012'], 'result': True, 'ind': 4, 'tostr': 'eq { hop { nth_argmin { all_rows ; no ; 14 } ; date } ; 18 mar 2012 }', 'tointer': 'the date record of the row with 14th minimum no record is 18 mar 2012 .'}, {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'nth_argmin', 'args': ['all_rows', 'no', '14'], 'result': None, 'ind': 2, 'tostr': 'nth_argmin { all_rows ; no ; 14 }'}, 'winners share'], 'result': '225000', 'ind': 5, 'tostr': 'hop { nth_argmin { all_rows ; no ; 14 } ; winners share }'}, '225000'], 'result': True, 'ind': 6, 'tostr': 'eq { hop { nth_argmin { all_rows ; no ; 14 } ; winners share } ; 225000 }', 'tointer': 'the winners share record of the row with 14th minimum no record is 225000 .'}], 'result': True, 'ind': 7, 'tostr': 'and { eq { hop { nth_argmin { all_rows ; no ; 14 } ; date } ; 18 mar 2012 } ; eq { hop { nth_argmin { all_rows ; no ; 14 } ; winners share } ; 225000 } }', 'tointer': 'the date record of the row with 14th minimum no record is 18 mar 2012 . the winners share record of the row with 14th minimum no record is 225000 .'}], 'result': True, 'ind': 8, 'tostr': 'and { eq { nth_min { all_rows ; no ; 14 } ; 14 } ; and { eq { hop { nth_argmin { all_rows ; no ; 14 } ; date } ; 18 mar 2012 } ; eq { hop { nth_argmin { all_rows ; no ; 14 } ; winners share } ; 225000 } } } = true', 'tointer': 'the 14th minimum no record of all rows is 14 . the date record of the row with 14th minimum no record is 18 mar 2012 . the winners share record of the row with 14th minimum no record is 225000 .'} | and { eq { nth_min { all_rows ; no ; 14 } ; 14 } ; and { eq { hop { nth_argmin { all_rows ; no ; 14 } ; date } ; 18 mar 2012 } ; eq { hop { nth_argmin { all_rows ; no ; 14 } ; winners share } ; 225000 } } } = true | the 14th minimum no record of all rows is 14 . the date record of the row with 14th minimum no record is 18 mar 2012 . the winners share record of the row with 14th minimum no record is 225000 . | 10 | 9 | {'and_8': 8, 'result_9': 9, 'eq_1': 1, 'nth_min_0': 0, 'all_rows_10': 10, 'no_11': 11, '14_12': 12, '14_13': 13, 'and_7': 7, 'str_eq_4': 4, 'str_hop_3': 3, 'nth_argmin_2': 2, 'all_rows_14': 14, 'no_15': 15, '14_16': 16, 'date_17': 17, '18 mar 2012_18': 18, 'eq_6': 6, 'num_hop_5': 5, 'winners share_19': 19, '225000_20': 20} | {'and_8': 'and', 'result_9': 'true', 'eq_1': 'eq', 'nth_min_0': 'nth_min', 'all_rows_10': 'all_rows', 'no_11': 'no', '14_12': '14', '14_13': '14', 'and_7': 'and', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'nth_argmin_2': 'nth_argmin', 'all_rows_14': 'all_rows', 'no_15': 'no', '14_16': '14', 'date_17': 'date', '18 mar 2012_18': '18 mar 2012', 'eq_6': 'eq', 'num_hop_5': 'num_hop', 'winners share_19': 'winners share', '225000_20': '225000'} | {'and_8': [9], 'result_9': [], 'eq_1': [8], 'nth_min_0': [1], 'all_rows_10': [0], 'no_11': [0], '14_12': [0], '14_13': [1], 'and_7': [8], 'str_eq_4': [7], 'str_hop_3': [4], 'nth_argmin_2': [3, 5], 'all_rows_14': [2], 'no_15': [2], '14_16': [2], 'date_17': [3], '18 mar 2012_18': [4], 'eq_6': [7], 'num_hop_5': [6], 'winners share_19': [5], '225000_20': [6]} | ['no', 'date', 'tournament', 'winning score', 'to par', 'margin of victory', 'runner ( s ) - up', 'winners share'] | [['1', '8 jun 2008', "mcdonald 's lpga championship", '73 + 70 + 65 + 68 = 276', '12', 'playoff', 'maria hjorth', '300000'], ['2', '24 may 2009', 'lpga corning classic', '68 + 70 + 62 + 67 = 267', '21', '1 stroke', 'kang soo - yun paula creamer', '225000'], ['3', '4 apr 2010', 'kraft nabisco championship', '69 + 71 + 67 + 68 = 275', '13', '1 stroke', 'suzann pettersen', '300000'], ['4', '1 aug 2010', "ricoh women 's british open", '68 + 68 + 68 + 73 = 277', '11', '1 stroke', 'katherine hull', '408714'], ['5', '12 sep 2010', 'p & g nw arkansas championship', '67 + 68 + 65 = 200', '13', '1 stroke', 'michelle wie', '300000'], ['6', '20 feb 2011', 'honda lpga thailand', '66 + 71 + 70 + 66 = 273', '15', '5 strokes', 'michelle wie', '217500'], ['7', '12 jun 2011', 'lpga state farm classic', '67 + 66 + 66 + 68 = 267', '21', '3 strokes', 'cristie kerr', '255000'], ['8', '26 jun 2011', 'wegmans lpga championship', '66 + 70 + 67 + 66 = 269', '19', '10 strokes', 'morgan pressel', '375000'], ['9', '31 jul 2011', "ricoh women 's british open", '71 + 66 + 66 + 69 = 272', '16', '4 strokes', 'brittany lang', '392133'], ['10', '11 sep 2011', 'walmart nw arkansas championship', '66 + 67 + 68 = 201', '13', 'playoff', 'amy yang', '300000'], ['11', '9 oct 2011', 'lpga hana bank championship', '65 + 70 + 67 = 202', '14', '1 stroke', 'choi na - yeon', '270000'], ['12', '23 oct 2011', 'sunrise lpga taiwan championship', '68 + 71 + 67 + 66 = 272', '16', '5 strokes', 'amy yang azahara muñoz', '300000'], ['13', '19 feb 2012', 'honda lpga thailand', '73 + 65 + 65 + 66 = 269', '19', '1 stroke', 'ai miyazato', '225000'], ['14', '18 mar 2012', 'rr donnelley lpga founders cup', '65 + 70 + 67 + 68 = 270', '18', '1 stroke', 'choi na - yeon ai miyazato', '225000']] |
b " gymnastics at the 2008 summer olympics - men 's parallel bars " | https://en.wikipedia.org/wiki/Gymnastics_at_the_2008_Summer_Olympics_%E2%80%93_Men%27s_parallel_bars | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18662020-2.html.csv | count | 2 gymnasts represented south korea ( kor ) at the 2008 summer olympics - men 's parallel bars . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'kor', 'result': '2', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'gymnast', 'kor'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose gymnast record fuzzily matches to kor .', 'tostr': 'filter_eq { all_rows ; gymnast ; kor }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; gymnast ; kor } }', 'tointer': 'select the rows whose gymnast record fuzzily matches to kor . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; gymnast ; kor } } ; 2 } = true', 'tointer': 'select the rows whose gymnast record fuzzily matches to kor . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; gymnast ; kor } } ; 2 } = true | select the rows whose gymnast record fuzzily matches to kor . 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, 'gymnast_5': 5, 'Kor_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', 'gymnast_5': 'gymnast', 'Kor_6': 'kor', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'gymnast_5': [0], 'Kor_6': [0], '2_7': [2]} | ['position', 'gymnast', 'a score', 'b score', 'total'] | [['1st', 'li xiaopeng ( chn )', '6.900', '9.525', '16.425'], ['2nd', 'nikolay kryukov ( rus )', '6.800', '9.375', '16.175'], ['3rd', 'anton fokin ( uzb )', '6.800', '9.350', '16.150'], ['4th', 'yoo won - chul ( kor )', '7.000', '9.150', '16.150'], ['5th', 'mitja petkovšek ( slo )', '6.600', '9.525', '16.125'], ['6th', 'yang tae - young ( kor )', '7.000', '9.100', '16.100'], ['7th', 'huang xu ( chn )', '7.000', '9.075', '16.075'], ['8th', 'fabian hambüchen ( ger )', '6.900', '9.150', '16.050']] |
1925 vfl season | https://en.wikipedia.org/wiki/1925_VFL_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-10746200-2.html.csv | aggregation | the 1925 vfl season had an average crowd size of 19167 on may 9 , 1925 . | {'scope': 'all', 'col': '6', 'type': 'average', 'result': '19167', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'avg', 'args': ['all_rows', 'crowd'], 'result': '19167', 'ind': 0, 'tostr': 'avg { all_rows ; crowd }'}, '19167'], 'result': True, 'ind': 1, 'tostr': 'round_eq { avg { all_rows ; crowd } ; 19167 } = true', 'tointer': 'the average of the crowd record of all rows is 19167 .'} | round_eq { avg { all_rows ; crowd } ; 19167 } = true | the average of the crowd record of all rows is 19167 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'avg_0': 0, 'all_rows_3': 3, 'crowd_4': 4, '19167_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'avg_0': 'avg', 'all_rows_3': 'all_rows', 'crowd_4': 'crowd', '19167_5': '19167'} | {'eq_1': [2], 'result_2': [], 'avg_0': [1], 'all_rows_3': [0], 'crowd_4': [0], '19167_5': [1]} | ['home team', 'home team score', 'away team', 'away team score', 'venue', 'crowd', 'date'] | [['footscray', '10.10 ( 70 )', 'south melbourne', '8.12 ( 60 )', 'western oval', '25000', '9 may 1925'], ['collingwood', '10.11 ( 71 )', 'melbourne', '7.12 ( 54 )', 'victoria park', '15000', '9 may 1925'], ['carlton', '7.14 ( 56 )', 'essendon', '14.17 ( 101 )', 'princes park', '25000', '9 may 1925'], ['st kilda', '17.12 ( 114 )', 'hawthorn', '8.12 ( 60 )', 'junction oval', '12000', '9 may 1925'], ['richmond', '9.5 ( 59 )', 'geelong', '13.14 ( 92 )', 'punt road oval', '20000', '9 may 1925'], ['north melbourne', '6.3 ( 39 )', 'fitzroy', '8.16 ( 64 )', 'arden street oval', '18000', '9 may 1925']] |
2002 - 03 san antonio spurs season | https://en.wikipedia.org/wiki/2002%E2%80%9303_San_Antonio_Spurs_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-13667936-5.html.csv | count | in december of the 2002 - 03 san antonio spurs season , tony parker was the leading scorer in 4 games . | {'scope': 'all', 'criterion': 'fuzzily_match', 'value': 'tony parker', 'result': '4', 'col': '5', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'leading scorer', 'tony parker'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose leading scorer record fuzzily matches to tony parker .', 'tostr': 'filter_eq { all_rows ; leading scorer ; tony parker }'}], 'result': '4', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; leading scorer ; tony parker } }', 'tointer': 'select the rows whose leading scorer record fuzzily matches to tony parker . the number of such rows is 4 .'}, '4'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; leading scorer ; tony parker } } ; 4 } = true', 'tointer': 'select the rows whose leading scorer record fuzzily matches to tony parker . the number of such rows is 4 .'} | eq { count { filter_eq { all_rows ; leading scorer ; tony parker } } ; 4 } = true | select the rows whose leading scorer record fuzzily matches to tony parker . 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, 'leading scorer_5': 5, 'tony parker_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', 'leading scorer_5': 'leading scorer', 'tony parker_6': 'tony parker', '4_7': '4'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_str_eq_0': [1], 'all_rows_4': [0], 'leading scorer_5': [0], 'tony parker_6': [0], '4_7': [2]} | ['date', 'visitor', 'score', 'home', 'leading scorer', 'record'] | [['3 december 2002', 'spurs', '75 - 89', 'rockets', 'tim duncan ( 25 )', '11 - 8'], ['6 december 2002', '76ers', '93 - 98', 'spurs', 'tim duncan ( 29 )', '12 - 8'], ['8 december 2002', 'kings', '104 - 80', 'spurs', 'tim duncan ( 16 )', '12 - 9'], ['11 december 2002', 'mavericks', '104 - 111', 'spurs', 'tony parker ( 32 )', '13 - 9'], ['13 december 2002', 'clippers', '84 - 97', 'spurs', 'tim duncan ( 25 )', '14 - 9'], ['16 december 2002', 'spurs', '79 - 91', 'clippers', 'tim duncan ( 32 )', '14 - 10'], ['18 december 2002', 'spurs', '91 - 88', 'supersonics', 'tony parker ( 22 )', '15 - 10'], ['19 december 2002', 'spurs', '83 - 81', 'kings', 'tim duncan ( 23 )', '16 - 10'], ['21 december 2002', 'wizards', '81 - 92', 'spurs', 'tony parker ( 21 )', '17 - 10'], ['23 december 2002', 'hornets', '94 - 99', 'spurs', 'tim duncan ( 23 )', '18 - 10'], ['27 december 2002', 'spurs', '79 - 81', 'hawks', 'tim duncan ( 27 )', '18 - 11'], ['28 december 2002', 'spurs', '109 - 95', 'bulls', 'tony parker ( 32 )', '19 - 11'], ['30 december 2002', 'spurs', '95 - 96', 'knicks', 'tim duncan ( 31 )', '19 - 12'], ['31 december 2002', 'spurs', '103 - 105', 'wizards', 'tim duncan ( 35 )', '19 - 13']] |
adrian mannarino | https://en.wikipedia.org/wiki/Adrian_Mannarino | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17995113-3.html.csv | count | of the times that adrian mannarino played on a hard surface , two of them were in 2007 . | {'scope': 'subset', 'criterion': 'fuzzily_match', 'value': '2007', 'result': '2', 'col': '1', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'hard'}} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'surface', 'hard'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; surface ; hard }', 'tointer': 'select the rows whose surface record fuzzily matches to hard .'}, 'date', '2007'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose surface record fuzzily matches to hard . among these rows , select the rows whose date record fuzzily matches to 2007 .', 'tostr': 'filter_eq { filter_eq { all_rows ; surface ; hard } ; date ; 2007 }'}], 'result': '2', 'ind': 2, 'tostr': 'count { filter_eq { filter_eq { all_rows ; surface ; hard } ; date ; 2007 } }', 'tointer': 'select the rows whose surface record fuzzily matches to hard . among these rows , select the rows whose date record fuzzily matches to 2007 . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 3, 'tostr': 'eq { count { filter_eq { filter_eq { all_rows ; surface ; hard } ; date ; 2007 } } ; 2 } = true', 'tointer': 'select the rows whose surface record fuzzily matches to hard . among these rows , select the rows whose date record fuzzily matches to 2007 . the number of such rows is 2 .'} | eq { count { filter_eq { filter_eq { all_rows ; surface ; hard } ; date ; 2007 } } ; 2 } = true | select the rows whose surface record fuzzily matches to hard . among these rows , select the rows whose date record fuzzily matches to 2007 . the number of such rows is 2 . | 4 | 4 | {'eq_3': 3, 'result_4': 4, 'count_2': 2, 'filter_str_eq_1': 1, 'filter_str_eq_0': 0, 'all_rows_5': 5, 'surface_6': 6, 'hard_7': 7, 'date_8': 8, '2007_9': 9, '2_10': 10} | {'eq_3': 'eq', 'result_4': 'true', 'count_2': 'count', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_5': 'all_rows', 'surface_6': 'surface', 'hard_7': 'hard', 'date_8': 'date', '2007_9': '2007', '2_10': '2'} | {'eq_3': [4], 'result_4': [], 'count_2': [3], 'filter_str_eq_1': [2], 'filter_str_eq_0': [1], 'all_rows_5': [0], 'surface_6': [0], 'hard_7': [0], 'date_8': [1], '2007_9': [1], '2_10': [3]} | ['date', 'tournament', 'surface', 'opponent in the final', 'score'] | [['23 october 2006', 'rodez , france', 'hard', 'andrey golubev', '4 - 6 , 6 - 1 , 6 - 0'], ['17 september 2007', 'plaisir , france', 'hard', 'thomas oger', '7 - 6 ( 7 - 3 ) , 7 - 5'], ['15 october 2007', 'la roche - sur - yon , france', 'hard', 'lukáš rosol', '6 - 3 , 3 - 6 , 6 - 4'], ['15 january 2008', 'sunderland , united kingdom', 'hard', 'richard bloomfield', '6 - 4 , 6 - 3'], ['10 march 2008', 'lille , france', 'hard', 'clément reix', '2 - 6 , 7 - 6 ( 7 - 3 ) , 7 - 5'], ['6 october 2008', 'rennes , france', 'carpet', 'josselin ouanna', '6 - 2 , 6 - 3'], ['5 april 2009', 'saint - brieuc , france', 'clay', 'josselin ouanna', '7 - 5 , 1 - 6 , 6 - 4'], ['9 august 2009', 'segovia , spain', 'hard', 'feliciano lópez', '6 - 3 , 6 - 4'], ['25 july 2010', 'recanati , italy', 'hard', 'stéphane bohli', '6 - 0 , 3 - 6 , 7 - 6 ( 7 - 5 )'], ['8 august 2010', 'segovia , spain', 'hard', 'daniel gimeno - traver', '6 - 4 , 7 - 6 ( 7 - 2 )'], ['16 september 2012', 'istanbul , turkey', 'hard', 'dmitry tursunov', '6 - 4 , 7 - 6 ( 7 - 5 )'], ['21 april 2013', 'mexico city , mexico', 'hard', 'andrej martin', '4 - 6 , 6 - 4 , 6 - 1']] |
list of indycar series teams | https://en.wikipedia.org/wiki/List_of_IndyCar_Series_teams | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-2503102-2.html.csv | majority | all of the racing teams in the indycar series use a dallara type chassis . | {'scope': 'all', 'col': '7', 'most_or_all': 'all', 'criterion': 'equal', 'value': 'dallara', 'subset': None} | {'func': 'all_str_eq', 'args': ['all_rows', 'chassis', 'dallara'], 'result': True, 'ind': 0, 'tointer': 'for the chassis records of all rows , all of them fuzzily match to dallara .', 'tostr': 'all_eq { all_rows ; chassis ; dallara } = true'} | all_eq { all_rows ; chassis ; dallara } = true | for the chassis records of all rows , all of them fuzzily match to dallara . | 1 | 1 | {'all_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'chassis_3': 3, 'dallara_4': 4} | {'all_str_eq_0': 'all_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'chassis_3': 'chassis', 'dallara_4': 'dallara'} | {'all_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'chassis_3': [0], 'dallara_4': [0]} | ['team', '-', 'primary sponsor', 'driver ( s )', 'listed owner ( s )', 'engine', 'chassis'] | [['a j foyt enterprises', '41', 'abc supply', 'conor daly', 'a j foyt', 'honda', 'dallara'], ['andretti autosport', '26', 'electric energy straws', 'carlos muã ± oz', 'michael andretti', 'chevrolet', 'dallara'], ['chip ganassi racing', '8', 'ntt data', 'ryan briscoe', 'chip ganassi', 'honda', 'dallara'], ['dale coyne racing', '63', 'cyclops gear', 'pippa mann', 'dale coyne', 'honda', 'dallara'], ['lazier partners racing', '91', 'advance auto parts', 'buddy lazier', 'bob lazier corbet krause', 'chevrolet', 'dallara'], ['rahal letterman lanigan racing', '17', 'blu e - cigs', 'mike conway', 'mike lanigan david letterman bobby rahal', 'honda', 'dallara'], ['sam schmidt motorsports', '81', "angie 's list", 'katherine legge', 'sam schmidt ric peterson', 'honda', 'dallara'], ['sarah fisher hartman racing', '97', 'rotondo weirich / muscle milk', 'lucas luhr', "sarah fisher andy o'gara steve weirich", 'honda', 'dallara']] |
albert county , new brunswick | https://en.wikipedia.org/wiki/Albert_County%2C_New_Brunswick | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-170958-2.html.csv | superlative | elgin is the parish with the highest area ( km 2 ) regarding the parishes in albert county , new brunswick . | {'scope': 'all', 'col_superlative': '3', 'row_superlative': '3', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'area km 2'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; area km 2 }'}, 'official name'], 'result': 'elgin', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; area km 2 } ; official name }'}, 'elgin'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; area km 2 } ; official name } ; elgin } = true', 'tointer': 'select the row whose area km 2 record of all rows is maximum . the official name record of this row is elgin .'} | eq { hop { argmax { all_rows ; area km 2 } ; official name } ; elgin } = true | select the row whose area km 2 record of all rows is maximum . the official name record of this row is elgin . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'area km 2_5': 5, 'official name_6': 6, 'elgin_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'area km 2_5': 'area km 2', 'official name_6': 'official name', 'elgin_7': 'elgin'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'area km 2_5': [0], 'official name_6': [1], 'elgin_7': [2]} | ['official name', 'status', 'area km 2', 'population', 'census ranking'] | [['coverdale', 'parish', '236.15', '4401', '769 of 5008'], ['hillsborough', 'parish', '303.73', '1395', '1684 of 5008'], ['elgin', 'parish', '519.38', '968', '2124 of 5008'], ['hopewell', 'parish', '149.32', '643', '2689 of 5008'], ['harvey', 'parish', '276.84', '376', '3372 of 5008']] |
cyrille diabaté | https://en.wikipedia.org/wiki/Cyrille_Diabat%C3%A9 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18722380-1.html.csv | unique | cyrille diabaté 's fight against rick roufus was the only fight that took place in las vegas , nevada , united states . | {'scope': 'all', 'row': '7', 'col': '6', 'col_other': '2', 'criterion': 'equal', 'value': 'las vegas , nevada , united states', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'location', 'las vegas , nevada , united states'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose location record fuzzily matches to las vegas , nevada , united states .', 'tostr': 'filter_eq { all_rows ; location ; las vegas , nevada , united states }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; location ; las vegas , nevada , united states } }', 'tointer': 'select the rows whose location record fuzzily matches to las vegas , nevada , united states . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'location', 'las vegas , nevada , united states'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose location record fuzzily matches to las vegas , nevada , united states .', 'tostr': 'filter_eq { all_rows ; location ; las vegas , nevada , united states }'}, 'opponent'], 'result': 'rick roufus', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; location ; las vegas , nevada , united states } ; opponent }'}, 'rick roufus'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; location ; las vegas , nevada , united states } ; opponent } ; rick roufus }', 'tointer': 'the opponent record of this unqiue row is rick roufus .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; location ; las vegas , nevada , united states } } ; eq { hop { filter_eq { all_rows ; location ; las vegas , nevada , united states } ; opponent } ; rick roufus } } = true', 'tointer': 'select the rows whose location record fuzzily matches to las vegas , nevada , united states . there is only one such row in the table . the opponent record of this unqiue row is rick roufus .'} | and { only { filter_eq { all_rows ; location ; las vegas , nevada , united states } } ; eq { hop { filter_eq { all_rows ; location ; las vegas , nevada , united states } ; opponent } ; rick roufus } } = true | select the rows whose location record fuzzily matches to las vegas , nevada , united states . there is only one such row in the table . the opponent record of this unqiue row is rick roufus . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'location_7': 7, 'las vegas , nevada , united states_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'opponent_9': 9, 'rick roufus_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'location_7': 'location', 'las vegas , nevada , united states_8': 'las vegas , nevada , united states', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'opponent_9': 'opponent', 'rick roufus_10': 'rick roufus'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'location_7': [0], 'las vegas , nevada , united states_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'opponent_9': [2], 'rick roufus_10': [3]} | ['result', 'opponent', 'method', 'event', 'round', 'location'] | [['win', 'michael bisping', 'decision ( unanimous )', 'cwfc : strike force 1', '4', 'coventry , west midlands , england'], ['loss', 'aleksandr pitchkounov', 'decision ( unanimous )', 'ichigeki paris 2005', '5', 'paris , france'], ['loss', 'alexey ignashov', 'decision', 'mt one', '5', 'saint - pierre , réunion'], ['loss', 'petar majstorović', 'decision ( unanimous )', 'k - 1 spain grand prix 2003 in barcelona', '3', 'barcelona , spain'], ['win', 'damián garcía', 'ko', 'k - 1 spain grand prix 2003 in barcelona', '1', 'barcelona , spain'], ['win', 'lee hasdell', 'tko ( doctor stoppage )', 'shoot boxing : s volume 1', '4', 'tokyo , japan'], ['win', 'rick roufus', 'tko ( doctor stoppage )', 'iska championship', '3', 'las vegas , nevada , united states']] |
floriana f.c | https://en.wikipedia.org/wiki/Floriana_F.C. | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1312112-6.html.csv | majority | most of the competitions played by floriana f.c. were of the european cup . | {'scope': 'all', 'col': '2', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'european cup', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'competition', 'european cup'], 'result': True, 'ind': 0, 'tointer': 'for the competition records of all rows , most of them fuzzily match to european cup .', 'tostr': 'most_eq { all_rows ; competition ; european cup } = true'} | most_eq { all_rows ; competition ; european cup } = true | for the competition records of all rows , most of them fuzzily match to european cup . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'competition_3': 3, 'european cup_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'competition_3': 'competition', 'european cup_4': 'european cup'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'competition_3': [0], 'european cup_4': [0]} | ['season', 'competition', 'round', 'club', 'home', 'away', 'aggregate'] | [['1962 - 63', 'european cup', 'preliminary round', 'ipswich town', '1 - 4', '0 - 10', '1 - 14'], ['1968 - 69', 'european cup', '1 . round', 'lahti', '1 - 1', '0 - 2', '1 - 3'], ['1970 - 71', 'european cup', '1 . round', 'sporting cp', '0 - 4', '0 - 5', '0 - 9'], ['1973 - 74', 'european cup', '1 . round', 'club brugge', '0 - 2', '0 - 8', '0 - 10'], ['1975 - 76', 'european cup', '1 . round', 'hajduk split', '0 - 5', '0 - 3', '0 - 8'], ['1977 - 78', 'european cup', '1 . round', 'panathinaikos', '1 - 1', '0 - 4', '1 - 5'], ['1993 - 94', 'uefa champions league', 'preliminary round', 'ekranas', '1 - 0', '1 - 0', '2 - 0'], ['1993 - 94', 'uefa champions league', '1 . round', 'fc porto', '0 - 0', '0 - 2', '0 - 2']] |
1979 world ice hockey championships | https://en.wikipedia.org/wiki/1979_World_Ice_Hockey_Championships | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-14190283-9.html.csv | count | there were two games that were drawn in the 1979 world ice hockey championships . | {'scope': 'all', 'criterion': 'equal', 'value': '1', 'result': '2', 'col': '2', 'subset': None} | {'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'drawn', '1'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose drawn record is equal to 1 .', 'tostr': 'filter_eq { all_rows ; drawn ; 1 }'}], 'result': '2', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; drawn ; 1 } }', 'tointer': 'select the rows whose drawn record is equal to 1 . the number of such rows is 2 .'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; drawn ; 1 } } ; 2 } = true', 'tointer': 'select the rows whose drawn record is equal to 1 . the number of such rows is 2 .'} | eq { count { filter_eq { all_rows ; drawn ; 1 } } ; 2 } = true | select the rows whose drawn record is equal to 1 . the number of such rows is 2 . | 3 | 3 | {'eq_2': 2, 'result_3': 3, 'count_1': 1, 'filter_eq_0': 0, 'all_rows_4': 4, 'drawn_5': 5, '1_6': 6, '2_7': 7} | {'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_eq_0': 'filter_eq', 'all_rows_4': 'all_rows', 'drawn_5': 'drawn', '1_6': '1', '2_7': '2'} | {'eq_2': [3], 'result_3': [], 'count_1': [2], 'filter_eq_0': [1], 'all_rows_4': [0], 'drawn_5': [0], '1_6': [0], '2_7': [2]} | ['games', 'drawn', 'lost', 'points difference', 'points'] | [['7', '0', '0', '83 - 10', '14'], ['7', '0', '1', '64 - 17', '12'], ['7', '0', '2', '59 - 27', '10'], ['7', '0', '3', '35 - 28', '8'], ['7', '0', '5', '23 - 68', '4'], ['7', '0', '5', '25 - 48', '4'], ['7', '1', '5', '16 - 67', '3'], ['7', '1', '6', '13 - 53', '1']] |
memphis grizzlies all - time roster | https://en.wikipedia.org/wiki/Memphis_Grizzlies_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-16494599-1.html.csv | unique | tony allen is the only player on the memphis grizzlies all - time roster from oklahoma state . | {'scope': 'all', 'row': '3', 'col': '6', 'col_other': '1', 'criterion': 'equal', 'value': 'oklahoma state', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'school / club team', 'oklahoma state'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose school / club team record fuzzily matches to oklahoma state .', 'tostr': 'filter_eq { all_rows ; school / club team ; oklahoma state }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; school / club team ; oklahoma state } }', 'tointer': 'select the rows whose school / club team record fuzzily matches to oklahoma state . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'school / club team', 'oklahoma state'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose school / club team record fuzzily matches to oklahoma state .', 'tostr': 'filter_eq { all_rows ; school / club team ; oklahoma state }'}, 'player'], 'result': 'tony allen', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; school / club team ; oklahoma state } ; player }'}, 'tony allen'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; school / club team ; oklahoma state } ; player } ; tony allen }', 'tointer': 'the player record of this unqiue row is tony allen .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; school / club team ; oklahoma state } } ; eq { hop { filter_eq { all_rows ; school / club team ; oklahoma state } ; player } ; tony allen } } = true', 'tointer': 'select the rows whose school / club team record fuzzily matches to oklahoma state . there is only one such row in the table . the player record of this unqiue row is tony allen .'} | and { only { filter_eq { all_rows ; school / club team ; oklahoma state } } ; eq { hop { filter_eq { all_rows ; school / club team ; oklahoma state } ; player } ; tony allen } } = true | select the rows whose school / club team record fuzzily matches to oklahoma state . there is only one such row in the table . the player record of this unqiue row is tony allen . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'school / club team_7': 7, 'oklahoma state_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'player_9': 9, 'tony allen_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'school / club team_7': 'school / club team', 'oklahoma state_8': 'oklahoma state', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'player_9': 'player', 'tony allen_10': 'tony allen'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'school / club team_7': [0], 'oklahoma state_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'player_9': [2], 'tony allen_10': [3]} | ['player', 'no', 'nationality', 'position', 'years for grizzlies', 'school / club team'] | [['mahmoud abdul - rauf', '1', 'united states', 'point guard', '2000 - 2001', 'lsu'], ['shareef abdur - rahim', '3', 'united states', 'forward', '1996 - 2001', 'california'], ['tony allen', '9', 'united states', 'guard', '2010present', 'oklahoma state'], ['ashraf amaya', '18', 'united states', 'small forward', '1995 - 1996', 'southern illinois'], ['nick anderson', '5', 'united states', 'guard / forward', '2001 - 2002', 'illinois'], ['greg anthony', '2', 'united states', 'point guard', '1995 - 1997', 'unlv'], ['robert archibald', '21', 'scotland', 'forward / center', '2002 - 2003', 'illinois'], ['gilbert arenas', '10', 'united states', 'guard', '2012', 'arizona'], ['darrell arthur', '00', 'united states', 'forward', '2009 - 2013', 'kansas'], ['chucky atkins', "32 ( 3 in '06 - ' 07 )", 'united states', 'point guard', '2006 - 2007', 'south florida'], ['isaac austin', '9', 'united states', 'center', '2000 - 2002', 'arizona state']] |
pedro rodríguez ( racing driver ) | https://en.wikipedia.org/wiki/Pedro_Rodr%C3%ADguez_%28racing_driver%29 | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1156744-3.html.csv | majority | pedro rodríguez retired from most of his races when leo kinnunen was his co-driver . | {'scope': 'subset', 'col': '4', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'ret', 'subset': {'col': '5', 'criterion': 'equal', 'value': 'leo kinnunen'}} | {'func': 'most_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'co - driver', 'leo kinnunen'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; co - driver ; leo kinnunen }', 'tointer': 'select the rows whose co - driver record fuzzily matches to leo kinnunen .'}, 'pos', 'ret'], 'result': True, 'ind': 1, 'tointer': 'select the rows whose co - driver record fuzzily matches to leo kinnunen . for the pos records of these rows , most of them fuzzily match to ret .', 'tostr': 'most_eq { filter_eq { all_rows ; co - driver ; leo kinnunen } ; pos ; ret } = true'} | most_eq { filter_eq { all_rows ; co - driver ; leo kinnunen } ; pos ; ret } = true | select the rows whose co - driver record fuzzily matches to leo kinnunen . for the pos records of these rows , most of them fuzzily match to ret . | 2 | 2 | {'most_str_eq_1': 1, 'result_2': 2, 'filter_str_eq_0': 0, 'all_rows_3': 3, 'co - driver_4': 4, 'leo kinnunen_5': 5, 'pos_6': 6, 'ret_7': 7} | {'most_str_eq_1': 'most_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'co - driver_4': 'co - driver', 'leo kinnunen_5': 'leo kinnunen', 'pos_6': 'pos', 'ret_7': 'ret'} | {'most_str_eq_1': [2], 'result_2': [], 'filter_str_eq_0': [1], 'all_rows_3': [0], 'co - driver_4': [0], 'leo kinnunen_5': [0], 'pos_6': [1], 'ret_7': [1]} | ['year', 'race', 'team', 'pos', 'co - driver'] | [['1970', '24 hours of daytona', 'john wyer', '1', 'kinnunen / redman'], ['1970', '12 hours of sebring', 'john wyer', '4', 'kinnunen / siffert'], ['1970', '1000 km of brands hatch', 'john wyer', '1', 'leo kinnunen'], ['1970', '1000 km monza', 'john wyer', '1', 'leo kinnunen'], ['1970', 'targa florio', 'john wyer', '2', 'leo kinnunen'], ['1970', '1000 km spa', 'john wyer', 'ret', 'leo kinnunen'], ['1970', '1000 km nürburgring', 'john wyer', 'ret', 'leo kinnunen'], ['1970', '24 hours of le mans', 'john wyer', 'ret', 'leo kinnunen'], ['1970', '6 hours of watkins glen', 'john wyer', '1', 'leo kinnunen'], ['1970', '1000 km zeltweg', 'john wyer', 'ret', 'leo kinnunen'], ['1971', '1000 km of buenos aires', 'john wyer', 'ret', 'jackie oliver'], ['1971', '24 hours of daytona', 'john wyer', '1', 'jackie oliver'], ['1971', '12 hours of sebring', 'john wyer', '4', 'jackie oliver'], ['1971', '1000 km brands hatch', 'john wyer', 'ret', 'jackie oliver'], ['1971', '1000 km monza', 'john wyer', '1', 'jackie oliver'], ['1971', '1000 km spa', 'john wyer', '1', 'jackie oliver'], ['1971', 'targa florio', 'john wyer', 'ret', 'herbert müller'], ['1971', '1000 km nürburgring', 'john wyer', '2', 'oliver / siffert'], ['1971', '24 hours of le mans', 'john wyer', '18', 'jackie oliver'], ['1971', '1000 km zeltweg', 'john wyer', '1', 'richard attwood']] |
fundraising for the 2008 united states presidential election | https://en.wikipedia.org/wiki/Fundraising_for_the_2008_United_States_presidential_election | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12030247-2.html.csv | ordinal | barack obama recorded the highest operating expenditure for the 2008 united states presidential election . | {'row': '2', 'col': '5', 'order': '1', 'col_other': '1', 'max_or_min': 'max_to_min', 'value_mentioned': 'no', 'scope': 'all', 'subset': None} | {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'nth_argmax', 'args': ['all_rows', 'operating expenditures', '1'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; operating expenditures ; 1 }'}, 'candidate'], 'result': 'barack obama', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; operating expenditures ; 1 } ; candidate }'}, 'barack obama'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; operating expenditures ; 1 } ; candidate } ; barack obama } = true', 'tointer': 'select the row whose operating expenditures record of all rows is 1st maximum . the candidate record of this row is barack obama .'} | eq { hop { nth_argmax { all_rows ; operating expenditures ; 1 } ; candidate } ; barack obama } = true | select the row whose operating expenditures record of all rows is 1st maximum . the candidate record of this row is barack obama . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'operating expenditures_5': 5, '1_6': 6, 'candidate_7': 7, 'barack obama_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', 'operating expenditures_5': 'operating expenditures', '1_6': '1', 'candidate_7': 'candidate', 'barack obama_8': 'barack obama'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'operating expenditures_5': [0], '1_6': [0], 'candidate_7': [1], 'barack obama_8': [2]} | ['candidate', 'contributions', 'loans received', 'all receipts', 'operating expenditures', 'all disbursements'] | [['hillary clinton', '107056586', '0', '118301659', '77804197', '106000000'], ['barack obama', '102092819', '0', '103802537', '84497445', '85176289'], ['john edwards', '34986088', '8974714', '44259386', '33513005', '36468929'], ['bill richardson', '22421742', '1000000', '23671031', '21401414', '21857565'], ['chris dodd', '10414392', '1302811', '16547015', '14040555', '14057455'], ['joe biden', '8245241', '1132114', '11405771', '9518537', '9538687'], ['dennis kucinich', '3869613', '0', '3870840', '3638219', '3641234'], ['combined total', '289086481', '12409639', '321858239', '244413372', '251093944']] |
steam locomotives of ireland | https://en.wikipedia.org/wiki/Steam_locomotives_of_Ireland | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-1290024-4.html.csv | superlative | for the steam locomotives of ireland , the highest quantity made was for class 2 . | {'scope': 'all', 'col_superlative': '4', 'row_superlative': '2', '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', 'quantity made'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; quantity made }'}, 'class'], 'result': '2', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; quantity made } ; class }'}, '2'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; quantity made } ; class } ; 2 } = true', 'tointer': 'select the row whose quantity made record of all rows is maximum . the class record of this row is 2 .'} | eq { hop { argmax { all_rows ; quantity made } ; class } ; 2 } = true | select the row whose quantity made record of all rows is maximum . the class record of this row is 2 . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'argmax_0': 0, 'all_rows_4': 4, 'quantity made_5': 5, 'class_6': 6, '2_7': 7} | {'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'quantity made_5': 'quantity made', 'class_6': 'class', '2_7': '2'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'argmax_0': [1], 'all_rows_4': [0], 'quantity made_5': [0], 'class_6': [1], '2_7': [2]} | ['class', 'type', 'fleet numbers', 'quantity made', 'manufacturer', 'date made', 'date withdrawn'] | [['1', '2 - 4 - 0t', '1 - 3', '3', 'sharp , stewart & co', '1881', '1909 - 1926'], ['2', '4 - 6 - 0t', '4 - 9', '6', 'neilson & co', '1893', '1931 - 1937'], ['3', '4 - 4 - 4t', '10 - 11', '2', 'neilson , reid & co', '1902', '1933'], ['4', '4 - 6 - 4t', '12 - 15', '4', 'nasmyth , wilson & co', '1904', '1953 - 1959'], ['5', '2 - 6 - 4t', '16 - 20', '5', 'nasmyth , wilson & co', '1907', '1940 - 1950'], ['5a', '2 - 6 - 4t', '21 , 2a , 3a', '3', 'nasmyth , wilson & co', '1912', '1959']] |
kei nishikori | https://en.wikipedia.org/wiki/Kei_Nishikori | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12299543-2.html.csv | ordinal | the 2nd to last final for kei nishikori was when milos raonic was the opponent . | {'row': '4', 'col': '2', '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', 'date', '2'], 'result': None, 'ind': 0, 'tostr': 'nth_argmax { all_rows ; date ; 2 }'}, 'opponent in the final'], 'result': 'milos raonic', 'ind': 1, 'tostr': 'hop { nth_argmax { all_rows ; date ; 2 } ; opponent in the final }'}, 'milos raonic'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { nth_argmax { all_rows ; date ; 2 } ; opponent in the final } ; milos raonic } = true', 'tointer': 'select the row whose date record of all rows is 2nd maximum . the opponent in the final record of this row is milos raonic .'} | eq { hop { nth_argmax { all_rows ; date ; 2 } ; opponent in the final } ; milos raonic } = true | select the row whose date record of all rows is 2nd maximum . the opponent in the final record of this row is milos raonic . | 3 | 3 | {'str_eq_2': 2, 'result_3': 3, 'str_hop_1': 1, 'nth_argmax_0': 0, 'all_rows_4': 4, 'date_5': 5, '2_6': 6, 'opponent in the final_7': 7, 'milos raonic_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', 'date_5': 'date', '2_6': '2', 'opponent in the final_7': 'opponent in the final', 'milos raonic_8': 'milos raonic'} | {'str_eq_2': [3], 'result_3': [], 'str_hop_1': [2], 'nth_argmax_0': [1], 'all_rows_4': [0], 'date_5': [0], '2_6': [0], 'opponent in the final_7': [1], 'milos raonic_8': [2]} | ['outcome', 'date', 'surface', 'opponent in the final', 'score in the final'] | [['winner', '11 february 2008', 'hard', 'james blake', '3 - 6 , 6 - 1 , 6 - 4'], ['runner - up', '10 april 2011', 'clay', 'ryan sweeting', '4 - 6 , 6 - 7 ( 3 - 7 )'], ['runner - up', '6 november 2011', 'hard ( i )', 'roger federer', '1 - 6 , 3 - 6'], ['winner', '7 october 2012', 'hard', 'milos raonic', '7 - 6 ( 7 - 5 ) , 3 - 6 , 6 - 0'], ['winner', '24 february 2013', 'hard ( i )', 'feliciano lópez', '6 - 2 , 6 - 3']] |
2007 - 08 sacramento kings season | https://en.wikipedia.org/wiki/2007%E2%80%9308_Sacramento_Kings_season | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11965631-4.html.csv | majority | kevin martin was the leading scorer for most of the games . | {'scope': 'all', 'col': '5', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'kevin martin', 'subset': None} | {'func': 'most_str_eq', 'args': ['all_rows', 'leading scorer', 'kevin martin'], 'result': True, 'ind': 0, 'tointer': 'for the leading scorer records of all rows , most of them fuzzily match to kevin martin .', 'tostr': 'most_eq { all_rows ; leading scorer ; kevin martin } = true'} | most_eq { all_rows ; leading scorer ; kevin martin } = true | for the leading scorer records of all rows , most of them fuzzily match to kevin martin . | 1 | 1 | {'most_str_eq_0': 0, 'result_1': 1, 'all_rows_2': 2, 'leading scorer_3': 3, 'kevin martin_4': 4} | {'most_str_eq_0': 'most_str_eq', 'result_1': 'true', 'all_rows_2': 'all_rows', 'leading scorer_3': 'leading scorer', 'kevin martin_4': 'kevin martin'} | {'most_str_eq_0': [1], 'result_1': [], 'all_rows_2': [0], 'leading scorer_3': [0], 'kevin martin_4': [0]} | ['date', 'visitor', 'score', 'home', 'leading scorer', 'attendance', 'record'] | [['2 november 2007', 'kings', '80 - 96', 'spurs', 'kevin martin ( 22 )', '17072', '0 - 2'], ['3 november 2007', 'kings', '102 - 123', 'mavericks', 'kevin martin ( 28 )', '20343', '0 - 3'], ['6 november 2007', 'supersonics', '98 - 104', 'kings', 'kevin martin ( 31 )', '14908', '1 - 3'], ['9 november 2007', 'cavaliers', '93 - 91', 'kings', 'kevin martin ( 32 )', '15293', '1 - 4'], ['10 november 2007', 'timberwolves', '93 - 100', 'kings', 'kevin martin ( 29 )', '13170', '2 - 4'], ['12 november 2007', 'kings', '93 - 117', 'jazz', 'john salmons ( 22 )', '19911', '2 - 5'], ['14 november 2007', 'kings', '103 - 108', 'timberwolves', 'kevin martin ( 22 )', '11656', '2 - 6'], ['16 november 2007', 'knicks', '118 - 123', 'kings', 'kevin martin ( 43 )', '12549', '3 - 6'], ['18 november 2007', 'pistons', '95 - 105', 'kings', 'beno udrih ( 23 )', '12978', '4 - 6'], ['20 november 2007', 'suns', '100 - 98', 'kings', 'ron artest ( 33 )', '13598', '4 - 7'], ['21 november 2007', 'kings', '111 - 127', 'suns', 'francisco garcia ( 31 )', '18422', '4 - 8'], ['23 november 2007', 'kings', '84 - 87', 'trail blazers', 'kevin martin ( 21 )', '19980', '4 - 9'], ['26 november 2007', 'spurs', '99 - 112', 'kings', 'beno udrih ( 27 )', '12587', '5 - 9']] |
judo at the 2005 mediterranean games | https://en.wikipedia.org/wiki/Judo_at_the_2005_Mediterranean_Games | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-12082591-3.html.csv | majority | of the countries that won at least 1 gold medal in judo at the 2005 mediterranean games , they all won at least 1 bronze medal also . | {'scope': 'subset', 'col': '5', 'most_or_all': 'all', 'criterion': 'greater_than_eq', 'value': '1', 'subset': {'col': '3', 'criterion': 'greater_than_eq', 'value': '1'}} | {'func': 'all_greater_eq', 'args': [{'func': 'filter_greater_eq', 'args': ['all_rows', 'gold', '1'], 'result': None, 'ind': 0, 'tostr': 'filter_greater_eq { all_rows ; gold ; 1 }', 'tointer': 'select the rows whose gold record is greater than or equal to 1 .'}, 'bronze', '1'], 'result': True, 'ind': 1, 'tointer': 'select the rows whose gold record is greater than or equal to 1 . for the bronze records of these rows , all of them are greater than or equal to 1 .', 'tostr': 'all_greater_eq { filter_greater_eq { all_rows ; gold ; 1 } ; bronze ; 1 } = true'} | all_greater_eq { filter_greater_eq { all_rows ; gold ; 1 } ; bronze ; 1 } = true | select the rows whose gold record is greater than or equal to 1 . for the bronze records of these rows , all of them are greater than or equal to 1 . | 2 | 2 | {'all_greater_eq_1': 1, 'result_2': 2, 'filter_greater_eq_0': 0, 'all_rows_3': 3, 'gold_4': 4, '1_5': 5, 'bronze_6': 6, '1_7': 7} | {'all_greater_eq_1': 'all_greater_eq', 'result_2': 'true', 'filter_greater_eq_0': 'filter_greater_eq', 'all_rows_3': 'all_rows', 'gold_4': 'gold', '1_5': '1', 'bronze_6': 'bronze', '1_7': '1'} | {'all_greater_eq_1': [2], 'result_2': [], 'filter_greater_eq_0': [1], 'all_rows_3': [0], 'gold_4': [0], '1_5': [0], 'bronze_6': [1], '1_7': [1]} | ['rank', 'nation', 'gold', 'silver', 'bronze', 'total'] | [['1', 'spain', '3', '2', '3', '7'], ['2', 'france', '3', '1', '2', '6'], ['3', 'italy', '2', '3', '6', '11'], ['4', 'turkey', '2', '2', '4', '8'], ['5', 'algeria', '2', '0', '3', '5'], ['6', 'greece', '1', '1', '1', '3'], ['7', 'serbia and montenegro', '1', '0', '2', '3'], ['8', 'slovenia', '0', '3', '2', '5'], ['9', 'egypt', '0', '2', '2', '4'], ['10 =', 'bosnia and herzegovina', '0', '0', '1', '1'], ['10 =', 'morocco', '0', '0', '1', '1'], ['10 =', 'tunisia', '0', '0', '1', '1'], ['total', 'total', '14', '14', '28', '56']] |
frederick libby | https://en.wikipedia.org/wiki/Frederick_Libby | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-17850104-1.html.csv | unique | frederick libby only flew a umit number 23 once . | {'scope': 'all', 'row': '1', 'col': '2', 'col_other': 'n/a', 'criterion': 'equal', 'value': '23', 'subset': None} | {'func': 'only', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'unit', '23'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose unit record is equal to 23 .', 'tostr': 'filter_eq { all_rows ; unit ; 23 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; unit ; 23 } } = true', 'tointer': 'select the rows whose unit record is equal to 23 . there is only one such row in the table .'} | only { filter_eq { all_rows ; unit ; 23 } } = true | select the rows whose unit record is equal to 23 . there is only one such row in the table . | 2 | 2 | {'only_1': 1, 'result_2': 2, 'filter_eq_0': 0, 'all_rows_3': 3, 'unit_4': 4, '23_5': 5} | {'only_1': 'only', 'result_2': 'true', 'filter_eq_0': 'filter_eq', 'all_rows_3': 'all_rows', 'unit_4': 'unit', '23_5': '23'} | {'only_1': [2], 'result_2': [], 'filter_eq_0': [1], 'all_rows_3': [0], 'unit_4': [0], '23_5': [0]} | ['date', 'unit', 'aircraft', 'opponent', 'location'] | [['15 july 1916', '23', 'fe2b', 'ago c ( desf )', 'bapaume'], ['22 august 1916', '11', 'fe2b ( 6994 )', 'roland cii ( ooc )', 's of bapaume'], ['25 august 1916', '11', 'fe2b ( 6994 )', 'aviatik c ( ooc )', 'bapaume'], ['14 september 1916', '11', 'fe2b ( 6994 )', 'two - seater ( ooc )', 'se of bapaume'], ['22 september 1916', '11', 'fe2b', 'scout ( ooc )', 'logeast'], ['10 october 1916', '11', 'fe2b ( 7678 )', 'scout ( ooc )', 'bapaume'], ['17 october 1916', '11', 'fe2b ( 7027 )', 'albatros di ( ooc )', 'mory'], ['20 october 1916', '11', 'fe2b ( 7027 )', 'albatros di ( ooc )', 'douxcette - ayette'], ['6 may 1917', '43', 'sopwith 1 ½ strutter ( a1010 )', 'two - seater ( des )', 's of avion'], ['23 july 1917', '43', 'sopwith 1 ½ strutter ( a8785 )', 'albatros diii ( ooc )', 'ne of lens'], ['8 august 1917', '25', 'dh4 ( a7543 )', 'albatros dv ( ooc )', 'henin lietard'], ['14 august 1917', '25', 'dh4 ( a7543 )', 'two - seater ( ooc )', 'lens']] |
2001 lff lyga | https://en.wikipedia.org/wiki/2001_LFF_Lyga | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-18018214-1.html.csv | aggregation | teams in the 2001 lff lyga scored a combined total of 490 points . | {'scope': 'all', 'col': '9', 'type': 'sum', 'result': '490', 'subset': None} | {'func': 'round_eq', 'args': [{'func': 'sum', 'args': ['all_rows', 'points'], 'result': '490', 'ind': 0, 'tostr': 'sum { all_rows ; points }'}, '490'], 'result': True, 'ind': 1, 'tostr': 'round_eq { sum { all_rows ; points } ; 490 } = true', 'tointer': 'the sum of the points record of all rows is 490 .'} | round_eq { sum { all_rows ; points } ; 490 } = true | the sum of the points record of all rows is 490 . | 2 | 2 | {'eq_1': 1, 'result_2': 2, 'sum_0': 0, 'all_rows_3': 3, 'points_4': 4, '490_5': 5} | {'eq_1': 'eq', 'result_2': 'true', 'sum_0': 'sum', 'all_rows_3': 'all_rows', 'points_4': 'points', '490_5': '490'} | {'eq_1': [2], 'result_2': [], 'sum_0': [1], 'all_rows_3': [0], 'points_4': [0], '490_5': [1]} | ['position', 'club', 'games played', 'wins', 'draws', 'loses', 'goals scored', 'goals conceded', 'points'] | [['1', 'fbk kaunas', '36', '26', '7', '3', '76', '13', '85'], ['2', 'fk atlantas', '36', '19', '12', '5', '66', '29', '69'], ['3', 'fk žalgiris vilnius', '36', '20', '9', '7', '64', '39', '69'], ['4', 'fk ekranas', '36', '15', '10', '11', '58', '38', '55'], ['5', 'inkaras kaunas', '36', '11', '12', '13', '50', '44', '45'], ['6', 'geležinis vilkas vilnius', '36', '10', '6', '20', '42', '69', '36'], ['7', 'nevėžis kėdainiai', '36', '8', '11', '17', '33', '54', '35'], ['8', 'sakalas šiauliai', '36', '7', '13', '16', '32', '61', '34'], ['9', 'vėtra rūdiškės', '36', '7', '11', '18', '32', '57', '32'], ['10', 'dainava alytus', '36', '7', '9', '20', '34', '83', '30']] |
list of paris saint - germain f.c. players | https://en.wikipedia.org/wiki/List_of_Paris_Saint-Germain_F.C._players | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/1-24565004-11.html.csv | unique | at the time of this table , christophe jallet was the only player still with paris saint-germain fc . | {'scope': 'all', 'row': '2', 'col': '3', 'col_other': '1', 'criterion': 'equal', 'value': '2009 -', 'subset': None} | {'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'period', '2009 -'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose period record fuzzily matches to 2009 - .', 'tostr': 'filter_eq { all_rows ; period ; 2009 - }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; period ; 2009 - } }', 'tointer': 'select the rows whose period record fuzzily matches to 2009 - . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'period', '2009 -'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose period record fuzzily matches to 2009 - .', 'tostr': 'filter_eq { all_rows ; period ; 2009 - }'}, 'name'], 'result': 'christophe jallet', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; period ; 2009 - } ; name }'}, 'christophe jallet'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; period ; 2009 - } ; name } ; christophe jallet }', 'tointer': 'the name record of this unqiue row is christophe jallet .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; period ; 2009 - } } ; eq { hop { filter_eq { all_rows ; period ; 2009 - } ; name } ; christophe jallet } } = true', 'tointer': 'select the rows whose period record fuzzily matches to 2009 - . there is only one such row in the table . the name record of this unqiue row is christophe jallet .'} | and { only { filter_eq { all_rows ; period ; 2009 - } } ; eq { hop { filter_eq { all_rows ; period ; 2009 - } ; name } ; christophe jallet } } = true | select the rows whose period record fuzzily matches to 2009 - . there is only one such row in the table . the name record of this unqiue row is christophe jallet . | 6 | 5 | {'and_4': 4, 'result_5': 5, 'only_1': 1, 'filter_str_eq_0': 0, 'all_rows_6': 6, 'period_7': 7, '2009-_8': 8, 'str_eq_3': 3, 'str_hop_2': 2, 'name_9': 9, 'christophe jallet_10': 10} | {'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'period_7': 'period', '2009-_8': '2009 -', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'name_9': 'name', 'christophe jallet_10': 'christophe jallet'} | {'and_4': [5], 'result_5': [], 'only_1': [4], 'filter_str_eq_0': [1, 2], 'all_rows_6': [0], 'period_7': [0], '2009-_8': [0], 'str_eq_3': [4], 'str_hop_2': [3], 'name_9': [2], 'christophe jallet_10': [3]} | ['name', 'position', 'period', 'appearances', 'goals', 'nationality square'] | [['robert jacques', 'forward', '1985 - 1986', '28', '6', 'france'], ['christophe jallet', 'defender', '2009 -', '180', '9', 'france'], ['gérard janvion', 'defender', '1983 - 1985', '50', '0', 'france'], ['philippe jean', 'defender', '1977 - 1979', '14', '0', 'france'], ['philippe jeannol', 'defender', '1984 - 1991', '219', '15', 'france']] |
utah jazz all - time roster | https://en.wikipedia.org/wiki/Utah_Jazz_all-time_roster | https://raw.githubusercontent.com/wenhuchen/Table-Fact-Checking/master/data/all_csv/2-11545282-6.html.csv | comparative | bernie fryer played for the utah jazz before derek fisher did . | {'row_1': '6', 'row_2': '4', 'col': '4', 'col_other': '1', 'relation': 'less', 'record_mentioned': 'no', 'diff_result': None} | {'func': 'less', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'player', 'bernie fryer'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose player record fuzzily matches to bernie fryer .', 'tostr': 'filter_eq { all_rows ; player ; bernie fryer }'}, 'years for jazz'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; player ; bernie fryer } ; years for jazz }', 'tointer': 'select the rows whose player record fuzzily matches to bernie fryer . take the years for jazz record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'player', 'derek fisher'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose player record fuzzily matches to derek fisher .', 'tostr': 'filter_eq { all_rows ; player ; derek fisher }'}, 'years for jazz'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; player ; derek fisher } ; years for jazz }', 'tointer': 'select the rows whose player record fuzzily matches to derek fisher . take the years for jazz record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; player ; bernie fryer } ; years for jazz } ; hop { filter_eq { all_rows ; player ; derek fisher } ; years for jazz } } = true', 'tointer': 'select the rows whose player record fuzzily matches to bernie fryer . take the years for jazz record of this row . select the rows whose player record fuzzily matches to derek fisher . take the years for jazz record of this row . the first record is less than the second record .'} | less { hop { filter_eq { all_rows ; player ; bernie fryer } ; years for jazz } ; hop { filter_eq { all_rows ; player ; derek fisher } ; years for jazz } } = true | select the rows whose player record fuzzily matches to bernie fryer . take the years for jazz record of this row . select the rows whose player record fuzzily matches to derek fisher . take the years for jazz 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, 'player_7': 7, 'bernie fryer_8': 8, 'years for jazz_9': 9, 'str_hop_3': 3, 'filter_str_eq_1': 1, 'all_rows_10': 10, 'player_11': 11, 'derek fisher_12': 12, 'years for jazz_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', 'player_7': 'player', 'bernie fryer_8': 'bernie fryer', 'years for jazz_9': 'years for jazz', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'player_11': 'player', 'derek fisher_12': 'derek fisher', 'years for jazz_13': 'years for jazz'} | {'less_4': [5], 'result_5': [], 'str_hop_2': [4], 'filter_str_eq_0': [2], 'all_rows_6': [0], 'player_7': [0], 'bernie fryer_8': [0], 'years for jazz_9': [2], 'str_hop_3': [4], 'filter_str_eq_1': [3], 'all_rows_10': [1], 'player_11': [1], 'derek fisher_12': [1], 'years for jazz_13': [3]} | ['player', 'nationality', 'position', 'years for jazz', 'school / club team'] | [['jim farmer', 'united states', 'guard', '1988 - 89', 'alabama'], ['derrick favors', 'united states', 'forward', '2011 - present', 'georgia tech'], ['kyrylo fesenko', 'ukraine', 'center', '2007 - 11', 'cherkasy monkeys ( ukraine )'], ['derek fisher', 'united states', 'guard', '2006 - 2007', 'arkansas - little rock'], ['greg foster', 'united states', 'center / forward', '1995 - 99', 'utep'], ['bernie fryer', 'united states', 'guard', '1975 - 76', 'byu'], ['todd fuller', 'united states', 'center', '1998 - 99', 'north carolina state'], ['terry furlow', 'united states', 'guard / forward', '1979 - 80', 'michigan state']] |
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