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nt-9915
col : unnamed: 0 | chinese | pinyin | cantonese yale | hakka pinjim row 1 : ^ ma ling-yee | ma zhu er | ma ninger | ma5 ning4 yi4 | nan row 2 : ^ fung do-dak | feng dao de | feng daode | fung4 dou6 dak1 | nan row 3 : ^ gwong wai | guang hui chan shi | guang hui chan shi | gwong2 wai6 sim3 si1 | nan row 4 : ^ juk faat wan | zhu fa yun chan shi | zhu fa yun chan shi | juk1 faat3 wan4 sim3 si1 | nan row 5 : ^ fung foh do yan | feng huo dao ren | feng huo dao ren | fung1 fo2 dou6 yan4 | nan row 6 : ^ lau siu-leung | liu shao liang | liu shaoliang | lau4 siu2 leung4 | nan row 7 : ^ shek lam | shi lin | shi lin | sek6 lam4 | shak8 lam2 row 8 : ^ wanderer style | liu min pai | liumin pai | lau4 man4 paai1 | liu2 min2 pai5 row 9 : ^ lei mung | li meng | li meng | lei5 mung4 | li3 mung2 row 10 : ^ lin sang | lian sheng | lian sheng | lin4 sang1 | len2 sang1
table_csv/204_733.csv
0
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what is the chinese name of ma ninger?" ]
0
ma zhu er
[ "Unnamed: 0", "Chinese", "Pinyin", "Cantonese Yale", "Hakka pinjim" ]
what is the chinese name of ma ninger?
[ [ "^ Ma Ling-Yee", "Ma Zhu Er", "Ma Ninger", "Ma5 Ning4 Yi4", "nan" ], [ "^ Fung Do-Dak", "Feng Dao De", "Feng Daode", "Fung4 Dou6 Dak1", "nan" ], [ "^ Gwong Wai", "Guang Hui Chan Shi", "Guang Hui Chan Shi", "Gwong2 Wai6 Sim3 Si1", "nan" ], [ "^ Juk Faat Wan", "Zhu Fa Yun Chan Shi", "Zhu Fa Yun Chan Shi", "Juk1 Faat3 Wan4 Sim3 Si1", "nan" ], [ "^ Fung Foh Do Yan", "Feng Huo Dao Ren", "Feng Huo Dao Ren", "Fung1 Fo2 Dou6 Yan4", "nan" ], [ "^ Lau Siu-Leung", "Liu Shao Liang", "Liu Shaoliang", "Lau4 Siu2 Leung4", "nan" ], [ "^ Shek Lam", "Shi Lin", "Shi Lin", "Sek6 Lam4", "Shak8 Lam2" ], [ "^ Wanderer Style", "Liu Min Pai", "Liumin Pai", "Lau4 man4 Paai1", "Liu2 min2 Pai5" ], [ "^ Lei Mung", "Li Meng", "Li Meng", "Lei5 Mung4", "Li3 Mung2" ], [ "^ Lin Sang", "Lian Sheng", "Lian Sheng", "Lin4 Sang1", "Len2 Sang1" ] ]
[ "Ma Zhu Er" ]
what is the chinese name of ma ninger? ||
nt-9915
col : unnamed: 0 | chinese | pinyin | cantonese yale | hakka pinjim row 1 : ^ ma ling-yee | ma zhu er | ma ninger | ma5 ning4 yi4 | nan row 2 : ^ fung do-dak | feng dao de | feng daode | fung4 dou6 dak1 | nan row 3 : ^ gwong wai | guang hui chan shi | guang hui chan shi | gwong2 wai6 sim3 si1 | nan row 4 : ^ juk faat wan | zhu fa yun chan shi | zhu fa yun chan shi | juk1 faat3 wan4 sim3 si1 | nan row 5 : ^ fung foh do yan | feng huo dao ren | feng huo dao ren | fung1 fo2 dou6 yan4 | nan row 6 : ^ lau siu-leung | liu shao liang | liu shaoliang | lau4 siu2 leung4 | nan row 7 : ^ shek lam | shi lin | shi lin | sek6 lam4 | shak8 lam2 row 8 : ^ wanderer style | liu min pai | liumin pai | lau4 man4 paai1 | liu2 min2 pai5 row 9 : ^ lei mung | li meng | li meng | lei5 mung4 | li3 mung2 row 10 : ^ lin sang | lian sheng | lian sheng | lin4 sang1 | len2 sang1
table_csv/204_733.csv
1
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what is the chinese name of ma ninger?", "what is the english name of the person above?" ]
0
^ ma ling-yee
[ "Unnamed: 0", "Chinese", "Pinyin", "Cantonese Yale", "Hakka pinjim" ]
what is the english name of the person above?
[ [ "^ Ma Ling-Yee", "Ma Zhu Er", "Ma Ninger", "Ma5 Ning4 Yi4", "nan" ], [ "^ Fung Do-Dak", "Feng Dao De", "Feng Daode", "Fung4 Dou6 Dak1", "nan" ], [ "^ Gwong Wai", "Guang Hui Chan Shi", "Guang Hui Chan Shi", "Gwong2 Wai6 Sim3 Si1", "nan" ], [ "^ Juk Faat Wan", "Zhu Fa Yun Chan Shi", "Zhu Fa Yun Chan Shi", "Juk1 Faat3 Wan4 Sim3 Si1", "nan" ], [ "^ Fung Foh Do Yan", "Feng Huo Dao Ren", "Feng Huo Dao Ren", "Fung1 Fo2 Dou6 Yan4", "nan" ], [ "^ Lau Siu-Leung", "Liu Shao Liang", "Liu Shaoliang", "Lau4 Siu2 Leung4", "nan" ], [ "^ Shek Lam", "Shi Lin", "Shi Lin", "Sek6 Lam4", "Shak8 Lam2" ], [ "^ Wanderer Style", "Liu Min Pai", "Liumin Pai", "Lau4 man4 Paai1", "Liu2 min2 Pai5" ], [ "^ Lei Mung", "Li Meng", "Li Meng", "Lei5 Mung4", "Li3 Mung2" ], [ "^ Lin Sang", "Lian Sheng", "Lian Sheng", "Lin4 Sang1", "Len2 Sang1" ] ]
[ "^ Ma Ling-Yee" ]
what is the english name of the person above? || what is the chinese name of ma ninger?
nt-9915
col : unnamed: 0 | chinese | pinyin | cantonese yale | hakka pinjim row 1 : ^ ma ling-yee | ma zhu er | ma ninger | ma5 ning4 yi4 | nan row 2 : ^ fung do-dak | feng dao de | feng daode | fung4 dou6 dak1 | nan row 3 : ^ gwong wai | guang hui chan shi | guang hui chan shi | gwong2 wai6 sim3 si1 | nan row 4 : ^ juk faat wan | zhu fa yun chan shi | zhu fa yun chan shi | juk1 faat3 wan4 sim3 si1 | nan row 5 : ^ fung foh do yan | feng huo dao ren | feng huo dao ren | fung1 fo2 dou6 yan4 | nan row 6 : ^ lau siu-leung | liu shao liang | liu shaoliang | lau4 siu2 leung4 | nan row 7 : ^ shek lam | shi lin | shi lin | sek6 lam4 | shak8 lam2 row 8 : ^ wanderer style | liu min pai | liumin pai | lau4 man4 paai1 | liu2 min2 pai5 row 9 : ^ lei mung | li meng | li meng | lei5 mung4 | li3 mung2 row 10 : ^ lin sang | lian sheng | lian sheng | lin4 sang1 | len2 sang1
table_csv/204_733.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "which names are in the chart?" ]
1
^ ma ling-yee, ^ fung do-dak, ^ gwong wai, ^ juk faat wan, ^ fung foh do yan, ^ lau siu-leung, ^ shek lam, ^ wanderer style, ^ lei mung, ^ lin sang
[ "Unnamed: 0", "Chinese", "Pinyin", "Cantonese Yale", "Hakka pinjim" ]
which names are in the chart?
[ [ "^ Ma Ling-Yee", "Ma Zhu Er", "Ma Ninger", "Ma5 Ning4 Yi4", "nan" ], [ "^ Fung Do-Dak", "Feng Dao De", "Feng Daode", "Fung4 Dou6 Dak1", "nan" ], [ "^ Gwong Wai", "Guang Hui Chan Shi", "Guang Hui Chan Shi", "Gwong2 Wai6 Sim3 Si1", "nan" ], [ "^ Juk Faat Wan", "Zhu Fa Yun Chan Shi", "Zhu Fa Yun Chan Shi", "Juk1 Faat3 Wan4 Sim3 Si1", "nan" ], [ "^ Fung Foh Do Yan", "Feng Huo Dao Ren", "Feng Huo Dao Ren", "Fung1 Fo2 Dou6 Yan4", "nan" ], [ "^ Lau Siu-Leung", "Liu Shao Liang", "Liu Shaoliang", "Lau4 Siu2 Leung4", "nan" ], [ "^ Shek Lam", "Shi Lin", "Shi Lin", "Sek6 Lam4", "Shak8 Lam2" ], [ "^ Wanderer Style", "Liu Min Pai", "Liumin Pai", "Lau4 man4 Paai1", "Liu2 min2 Pai5" ], [ "^ Lei Mung", "Li Meng", "Li Meng", "Lei5 Mung4", "Li3 Mung2" ], [ "^ Lin Sang", "Lian Sheng", "Lian Sheng", "Lin4 Sang1", "Len2 Sang1" ] ]
[ "^ Ma Ling-Yee", "^ Fung Do-Dak", "^ Gwong Wai", "^ Juk Faat Wan", "^ Fung Foh Do Yan", "^ Lau Siu-Leung", "^ Shek Lam", "^ Wanderer Style", "^ Lei Mung", "^ Lin Sang" ]
which names are in the chart? ||
nt-9915
col : unnamed: 0 | chinese | pinyin | cantonese yale | hakka pinjim row 1 : ^ ma ling-yee | ma zhu er | ma ninger | ma5 ning4 yi4 | nan row 2 : ^ fung do-dak | feng dao de | feng daode | fung4 dou6 dak1 | nan row 3 : ^ gwong wai | guang hui chan shi | guang hui chan shi | gwong2 wai6 sim3 si1 | nan row 4 : ^ juk faat wan | zhu fa yun chan shi | zhu fa yun chan shi | juk1 faat3 wan4 sim3 si1 | nan row 5 : ^ fung foh do yan | feng huo dao ren | feng huo dao ren | fung1 fo2 dou6 yan4 | nan row 6 : ^ lau siu-leung | liu shao liang | liu shaoliang | lau4 siu2 leung4 | nan row 7 : ^ shek lam | shi lin | shi lin | sek6 lam4 | shak8 lam2 row 8 : ^ wanderer style | liu min pai | liumin pai | lau4 man4 paai1 | liu2 min2 pai5 row 9 : ^ lei mung | li meng | li meng | lei5 mung4 | li3 mung2 row 10 : ^ lin sang | lian sheng | lian sheng | lin4 sang1 | len2 sang1
table_csv/204_733.csv
1
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "which names are in the chart?", "of those, which is at the top of the chart?" ]
1
^ ma ling-yee
[ "Unnamed: 0", "Chinese", "Pinyin", "Cantonese Yale", "Hakka pinjim" ]
of those, which is at the top of the chart?
[ [ "^ Ma Ling-Yee", "Ma Zhu Er", "Ma Ninger", "Ma5 Ning4 Yi4", "nan" ], [ "^ Fung Do-Dak", "Feng Dao De", "Feng Daode", "Fung4 Dou6 Dak1", "nan" ], [ "^ Gwong Wai", "Guang Hui Chan Shi", "Guang Hui Chan Shi", "Gwong2 Wai6 Sim3 Si1", "nan" ], [ "^ Juk Faat Wan", "Zhu Fa Yun Chan Shi", "Zhu Fa Yun Chan Shi", "Juk1 Faat3 Wan4 Sim3 Si1", "nan" ], [ "^ Fung Foh Do Yan", "Feng Huo Dao Ren", "Feng Huo Dao Ren", "Fung1 Fo2 Dou6 Yan4", "nan" ], [ "^ Lau Siu-Leung", "Liu Shao Liang", "Liu Shaoliang", "Lau4 Siu2 Leung4", "nan" ], [ "^ Shek Lam", "Shi Lin", "Shi Lin", "Sek6 Lam4", "Shak8 Lam2" ], [ "^ Wanderer Style", "Liu Min Pai", "Liumin Pai", "Lau4 man4 Paai1", "Liu2 min2 Pai5" ], [ "^ Lei Mung", "Li Meng", "Li Meng", "Lei5 Mung4", "Li3 Mung2" ], [ "^ Lin Sang", "Lian Sheng", "Lian Sheng", "Lin4 Sang1", "Len2 Sang1" ] ]
[ "^ Ma Ling-Yee" ]
of those, which is at the top of the chart? || which names are in the chart?
nt-9915
col : unnamed: 0 | chinese | pinyin | cantonese yale | hakka pinjim row 1 : ^ ma ling-yee | ma zhu er | ma ninger | ma5 ning4 yi4 | nan row 2 : ^ fung do-dak | feng dao de | feng daode | fung4 dou6 dak1 | nan row 3 : ^ gwong wai | guang hui chan shi | guang hui chan shi | gwong2 wai6 sim3 si1 | nan row 4 : ^ juk faat wan | zhu fa yun chan shi | zhu fa yun chan shi | juk1 faat3 wan4 sim3 si1 | nan row 5 : ^ fung foh do yan | feng huo dao ren | feng huo dao ren | fung1 fo2 dou6 yan4 | nan row 6 : ^ lau siu-leung | liu shao liang | liu shaoliang | lau4 siu2 leung4 | nan row 7 : ^ shek lam | shi lin | shi lin | sek6 lam4 | shak8 lam2 row 8 : ^ wanderer style | liu min pai | liumin pai | lau4 man4 paai1 | liu2 min2 pai5 row 9 : ^ lei mung | li meng | li meng | lei5 mung4 | li3 mung2 row 10 : ^ lin sang | lian sheng | lian sheng | lin4 sang1 | len2 sang1
table_csv/204_733.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "who are the names listed in the chart?" ]
2
^ ma ling-yee, ^ fung do-dak, ^ gwong wai, ^ juk faat wan, ^ fung foh do yan, ^ lau siu-leung, ^ shek lam, ^ wanderer style, ^ lei mung, ^ lin sang
[ "Unnamed: 0", "Chinese", "Pinyin", "Cantonese Yale", "Hakka pinjim" ]
who are the names listed in the chart?
[ [ "^ Ma Ling-Yee", "Ma Zhu Er", "Ma Ninger", "Ma5 Ning4 Yi4", "nan" ], [ "^ Fung Do-Dak", "Feng Dao De", "Feng Daode", "Fung4 Dou6 Dak1", "nan" ], [ "^ Gwong Wai", "Guang Hui Chan Shi", "Guang Hui Chan Shi", "Gwong2 Wai6 Sim3 Si1", "nan" ], [ "^ Juk Faat Wan", "Zhu Fa Yun Chan Shi", "Zhu Fa Yun Chan Shi", "Juk1 Faat3 Wan4 Sim3 Si1", "nan" ], [ "^ Fung Foh Do Yan", "Feng Huo Dao Ren", "Feng Huo Dao Ren", "Fung1 Fo2 Dou6 Yan4", "nan" ], [ "^ Lau Siu-Leung", "Liu Shao Liang", "Liu Shaoliang", "Lau4 Siu2 Leung4", "nan" ], [ "^ Shek Lam", "Shi Lin", "Shi Lin", "Sek6 Lam4", "Shak8 Lam2" ], [ "^ Wanderer Style", "Liu Min Pai", "Liumin Pai", "Lau4 man4 Paai1", "Liu2 min2 Pai5" ], [ "^ Lei Mung", "Li Meng", "Li Meng", "Lei5 Mung4", "Li3 Mung2" ], [ "^ Lin Sang", "Lian Sheng", "Lian Sheng", "Lin4 Sang1", "Len2 Sang1" ] ]
[ "^ Ma Ling-Yee", "^ Fung Do-Dak", "^ Gwong Wai", "^ Juk Faat Wan", "^ Fung Foh Do Yan", "^ Lau Siu-Leung", "^ Shek Lam", "^ Wanderer Style", "^ Lei Mung", "^ Lin Sang" ]
who are the names listed in the chart? ||
nt-9915
col : unnamed: 0 | chinese | pinyin | cantonese yale | hakka pinjim row 1 : ^ ma ling-yee | ma zhu er | ma ninger | ma5 ning4 yi4 | nan row 2 : ^ fung do-dak | feng dao de | feng daode | fung4 dou6 dak1 | nan row 3 : ^ gwong wai | guang hui chan shi | guang hui chan shi | gwong2 wai6 sim3 si1 | nan row 4 : ^ juk faat wan | zhu fa yun chan shi | zhu fa yun chan shi | juk1 faat3 wan4 sim3 si1 | nan row 5 : ^ fung foh do yan | feng huo dao ren | feng huo dao ren | fung1 fo2 dou6 yan4 | nan row 6 : ^ lau siu-leung | liu shao liang | liu shaoliang | lau4 siu2 leung4 | nan row 7 : ^ shek lam | shi lin | shi lin | sek6 lam4 | shak8 lam2 row 8 : ^ wanderer style | liu min pai | liumin pai | lau4 man4 paai1 | liu2 min2 pai5 row 9 : ^ lei mung | li meng | li meng | lei5 mung4 | li3 mung2 row 10 : ^ lin sang | lian sheng | lian sheng | lin4 sang1 | len2 sang1
table_csv/204_733.csv
1
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "who are the names listed in the chart?", "who is listed on top?" ]
2
^ ma ling-yee
[ "Unnamed: 0", "Chinese", "Pinyin", "Cantonese Yale", "Hakka pinjim" ]
who is listed on top?
[ [ "^ Ma Ling-Yee", "Ma Zhu Er", "Ma Ninger", "Ma5 Ning4 Yi4", "nan" ], [ "^ Fung Do-Dak", "Feng Dao De", "Feng Daode", "Fung4 Dou6 Dak1", "nan" ], [ "^ Gwong Wai", "Guang Hui Chan Shi", "Guang Hui Chan Shi", "Gwong2 Wai6 Sim3 Si1", "nan" ], [ "^ Juk Faat Wan", "Zhu Fa Yun Chan Shi", "Zhu Fa Yun Chan Shi", "Juk1 Faat3 Wan4 Sim3 Si1", "nan" ], [ "^ Fung Foh Do Yan", "Feng Huo Dao Ren", "Feng Huo Dao Ren", "Fung1 Fo2 Dou6 Yan4", "nan" ], [ "^ Lau Siu-Leung", "Liu Shao Liang", "Liu Shaoliang", "Lau4 Siu2 Leung4", "nan" ], [ "^ Shek Lam", "Shi Lin", "Shi Lin", "Sek6 Lam4", "Shak8 Lam2" ], [ "^ Wanderer Style", "Liu Min Pai", "Liumin Pai", "Lau4 man4 Paai1", "Liu2 min2 Pai5" ], [ "^ Lei Mung", "Li Meng", "Li Meng", "Lei5 Mung4", "Li3 Mung2" ], [ "^ Lin Sang", "Lian Sheng", "Lian Sheng", "Lin4 Sang1", "Len2 Sang1" ] ]
[ "^ Ma Ling-Yee" ]
who is listed on top? || who are the names listed in the chart?
nt-2903
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
table_csv/203_527.csv
0
{ "column_index": [ 0, 0 ], "row_index": [ 6, 8 ] }
[ "in which tournament did florent pietrus score under 3 points per game?" ]
0
2011 eurobasket, 2013 eurobasket
[ "Tournament", "Games played", "Points per game", "Rebounds per game", "Assists per game" ]
in which tournament did florent pietrus score under 3 points per game?
[ [ "2003 EuroBasket", "6", "6.8", "5.3", "0.7" ], [ "2005 EuroBasket", "7", "7.6", "7.1", "0.6" ], [ "2006 FIBA World Championship", "9", "9.7", "6.7", "0.6" ], [ "2007 EuroBasket", "7", "8.9", "3.7", "0.6" ], [ "2009 EuroBasket", "8", "6.5", "2.9", "1.1" ], [ "2010 FIBA World Championship", "4", "4.5", "4.8", "1.5" ], [ "2011 EuroBasket", "11", "2.6", "3.4", "0.8" ], [ "2012 Olympics", "6", "4.5", "2.8", "0.5" ], [ "2013 EuroBasket", "11", "1.9", "3.5", "0.2" ] ]
[ "2011 EuroBasket", "2013 EuroBasket" ]
in which tournament did florent pietrus score under 3 points per game? ||
nt-2903
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
table_csv/203_527.csv
1
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "in which tournament did florent pietrus score under 3 points per game?", "of those tournaments, in which one did florent pietrus score the lease points per game?" ]
0
2013 eurobasket
[ "Tournament", "Games played", "Points per game", "Rebounds per game", "Assists per game" ]
of those tournaments, in which one did florent pietrus score the lease points per game?
[ [ "2003 EuroBasket", "6", "6.8", "5.3", "0.7" ], [ "2005 EuroBasket", "7", "7.6", "7.1", "0.6" ], [ "2006 FIBA World Championship", "9", "9.7", "6.7", "0.6" ], [ "2007 EuroBasket", "7", "8.9", "3.7", "0.6" ], [ "2009 EuroBasket", "8", "6.5", "2.9", "1.1" ], [ "2010 FIBA World Championship", "4", "4.5", "4.8", "1.5" ], [ "2011 EuroBasket", "11", "2.6", "3.4", "0.8" ], [ "2012 Olympics", "6", "4.5", "2.8", "0.5" ], [ "2013 EuroBasket", "11", "1.9", "3.5", "0.2" ] ]
[ "2013 EuroBasket" ]
of those tournaments, in which one did florent pietrus score the lease points per game? || in which tournament did florent pietrus score under 3 points per game?
nt-2903
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
table_csv/203_527.csv
0
{ "column_index": [ 2, 2, 2, 2 ], "row_index": [ 5, 6, 7, 8 ] }
[ "what are the three lowest averages for points per game?" ]
1
4.5, 2.6, 4.5, 1.9
[ "Tournament", "Games played", "Points per game", "Rebounds per game", "Assists per game" ]
what are the three lowest averages for points per game?
[ [ "2003 EuroBasket", "6", "6.8", "5.3", "0.7" ], [ "2005 EuroBasket", "7", "7.6", "7.1", "0.6" ], [ "2006 FIBA World Championship", "9", "9.7", "6.7", "0.6" ], [ "2007 EuroBasket", "7", "8.9", "3.7", "0.6" ], [ "2009 EuroBasket", "8", "6.5", "2.9", "1.1" ], [ "2010 FIBA World Championship", "4", "4.5", "4.8", "1.5" ], [ "2011 EuroBasket", "11", "2.6", "3.4", "0.8" ], [ "2012 Olympics", "6", "4.5", "2.8", "0.5" ], [ "2013 EuroBasket", "11", "1.9", "3.5", "0.2" ] ]
[ "4.5", "2.6", "4.5", "1.9" ]
what are the three lowest averages for points per game? ||
nt-2903
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
table_csv/203_527.csv
1
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "what are the three lowest averages for points per game?", "which team had the lowest average?" ]
1
2013 eurobasket
[ "Tournament", "Games played", "Points per game", "Rebounds per game", "Assists per game" ]
which team had the lowest average?
[ [ "2003 EuroBasket", "6", "6.8", "5.3", "0.7" ], [ "2005 EuroBasket", "7", "7.6", "7.1", "0.6" ], [ "2006 FIBA World Championship", "9", "9.7", "6.7", "0.6" ], [ "2007 EuroBasket", "7", "8.9", "3.7", "0.6" ], [ "2009 EuroBasket", "8", "6.5", "2.9", "1.1" ], [ "2010 FIBA World Championship", "4", "4.5", "4.8", "1.5" ], [ "2011 EuroBasket", "11", "2.6", "3.4", "0.8" ], [ "2012 Olympics", "6", "4.5", "2.8", "0.5" ], [ "2013 EuroBasket", "11", "1.9", "3.5", "0.2" ] ]
[ "2013 EuroBasket" ]
which team had the lowest average? || what are the three lowest averages for points per game?
nt-2903
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
table_csv/203_527.csv
0
{ "column_index": [ 0, 0, 0 ], "row_index": [ 2, 6, 8 ] }
[ "in what 3 major competitions from 2003 to 2013 did florent pietrus play the most games?" ]
2
2006 fiba world championship, 2011 eurobasket, 2013 eurobasket
[ "Tournament", "Games played", "Points per game", "Rebounds per game", "Assists per game" ]
in what 3 major competitions from 2003 to 2013 did florent pietrus play the most games?
[ [ "2003 EuroBasket", "6", "6.8", "5.3", "0.7" ], [ "2005 EuroBasket", "7", "7.6", "7.1", "0.6" ], [ "2006 FIBA World Championship", "9", "9.7", "6.7", "0.6" ], [ "2007 EuroBasket", "7", "8.9", "3.7", "0.6" ], [ "2009 EuroBasket", "8", "6.5", "2.9", "1.1" ], [ "2010 FIBA World Championship", "4", "4.5", "4.8", "1.5" ], [ "2011 EuroBasket", "11", "2.6", "3.4", "0.8" ], [ "2012 Olympics", "6", "4.5", "2.8", "0.5" ], [ "2013 EuroBasket", "11", "1.9", "3.5", "0.2" ] ]
[ "2006 FIBA World Championship", "2011 EuroBasket", "2013 EuroBasket" ]
in what 3 major competitions from 2003 to 2013 did florent pietrus play the most games? ||
nt-2903
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
table_csv/203_527.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 6, 8 ] }
[ "in what 3 major competitions from 2003 to 2013 did florent pietrus play the most games?", "of these 3 competitions what were not played in a world league?" ]
2
2011 eurobasket, 2013 eurobasket
[ "Tournament", "Games played", "Points per game", "Rebounds per game", "Assists per game" ]
of these 3 competitions what were not played in a world league?
[ [ "2003 EuroBasket", "6", "6.8", "5.3", "0.7" ], [ "2005 EuroBasket", "7", "7.6", "7.1", "0.6" ], [ "2006 FIBA World Championship", "9", "9.7", "6.7", "0.6" ], [ "2007 EuroBasket", "7", "8.9", "3.7", "0.6" ], [ "2009 EuroBasket", "8", "6.5", "2.9", "1.1" ], [ "2010 FIBA World Championship", "4", "4.5", "4.8", "1.5" ], [ "2011 EuroBasket", "11", "2.6", "3.4", "0.8" ], [ "2012 Olympics", "6", "4.5", "2.8", "0.5" ], [ "2013 EuroBasket", "11", "1.9", "3.5", "0.2" ] ]
[ "2011 EuroBasket", "2013 EuroBasket" ]
of these 3 competitions what were not played in a world league? || in what 3 major competitions from 2003 to 2013 did florent pietrus play the most games?
nt-2903
col : tournament | games played | points per game | rebounds per game | assists per game row 1 : 2003 eurobasket | 6 | 6.8 | 5.3 | 0.7 row 2 : 2005 eurobasket | 7 | 7.6 | 7.1 | 0.6 row 3 : 2006 fiba world championship | 9 | 9.7 | 6.7 | 0.6 row 4 : 2007 eurobasket | 7 | 8.9 | 3.7 | 0.6 row 5 : 2009 eurobasket | 8 | 6.5 | 2.9 | 1.1 row 6 : 2010 fiba world championship | 4 | 4.5 | 4.8 | 1.5 row 7 : 2011 eurobasket | 11 | 2.6 | 3.4 | 0.8 row 8 : 2012 olympics | 6 | 4.5 | 2.8 | 0.5 row 9 : 2013 eurobasket | 11 | 1.9 | 3.5 | 0.2
table_csv/203_527.csv
2
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "in what 3 major competitions from 2003 to 2013 did florent pietrus play the most games?", "of these 3 competitions what were not played in a world league?", "of the 2 remaining competitions what one was the most recent?" ]
2
2013 eurobasket
[ "Tournament", "Games played", "Points per game", "Rebounds per game", "Assists per game" ]
of the 2 remaining competitions what one was the most recent?
[ [ "2003 EuroBasket", "6", "6.8", "5.3", "0.7" ], [ "2005 EuroBasket", "7", "7.6", "7.1", "0.6" ], [ "2006 FIBA World Championship", "9", "9.7", "6.7", "0.6" ], [ "2007 EuroBasket", "7", "8.9", "3.7", "0.6" ], [ "2009 EuroBasket", "8", "6.5", "2.9", "1.1" ], [ "2010 FIBA World Championship", "4", "4.5", "4.8", "1.5" ], [ "2011 EuroBasket", "11", "2.6", "3.4", "0.8" ], [ "2012 Olympics", "6", "4.5", "2.8", "0.5" ], [ "2013 EuroBasket", "11", "1.9", "3.5", "0.2" ] ]
[ "2013 EuroBasket" ]
of the 2 remaining competitions what one was the most recent? || of these 3 competitions what were not played in a world league? | in what 3 major competitions from 2003 to 2013 did florent pietrus play the most games?
nt-2902
col : species | common name | ncbi accession # | ncbi name | length | sequence identity | sequence similarity | years since divergence from human (mya) row 1 : pan troglodytes | chimpanzee | xp_003317262 | depdc5 | 1572 aa | 99% | 99% | 6.4 row 2 : nomascus leucogenys | gibbon | xp_003258163 | depdc5 | 1602 aa | 99% | 99% | 20.4 row 3 : mus musculus | mouse | np_001164038 | depdc5 | 1591 aa | 94% | 96% | 92.4 row 4 : bos taurus | cow | xp_002694678 | depdc5 | 1593 aa | 94% | 96% | 94.4 row 5 : sorex araneus | shrew | ace77702 | depdc5 | 1570 aa | 94% | 96% | 94.4 row 6 : monodelphis domestica | possum | xp_001378772 | depdc5 | 1522 aa | 89% | 93% | 163.9 row 7 : gallus gallus | chicken | xp_415249 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 8 : meleagris gallopavo | turkey | xp_003211073 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 9 : taeniopygia guttata | zebra finch | xp_002199825 | depdc5 | 1572 aa | 87% | 92% | 301.7 row 10 : xenopus tropicalis | frog | xp_002931964 | depdc5-like | 1574 aa | 79% | 86% | 371.2 row 11 : danio rerio | zebra fish | xp_691450 | depdc5-like | 1590 aa | 75% | 84% | 400.1 row 12 : oreochromis niloticus | cichlid | xp_003459226 | depdc5 | 1577 aa | 74% | 82% | 400.1 row 13 : strongylocentrotus purpuratus | sea urchin | xp_794020 | similar to depdc5 | 1608 aa | 43% | 57% | 742.9 row 14 : drosophila melanogaster | drosophila | np_647618 | gc12090 | 1471 aa | 41% | 57% | 782.7 row 15 : pediculus humanus corporis | louse | xp_002429401 | depdc, putative | 1538 aa | 38% | 53% | 782.7 row 16 : anopheles gambiae | mosquito | xp_308760 | agap007010-pa | 1640 aa | 36% | 51% | 782.7 row 17 : ascaris suum | ascaris | ady40551 | depdcp5 | 1359 aa | 31% | 51% | 937.5 row 18 : ustilago maydis | corn smut | xp_757759 | vacuolar-associated protein iml1 | 1867 aa | 23% | 52% | 1215.8 row 19 : saccharomyces cerevisiae | yeast | np_012672 | iml1p | 1584 aa | 20% | 50% | 1215.8 row 20 : albugo laibachii | white rust | cca27519 | vacuolar membrane-associated protein putative | 1591 aa | 20% | 46% | 1362.0
table_csv/204_358.csv
0
{ "column_index": [ 0, 0, 0 ], "row_index": [ 17, 18, 19 ] }
[ "which species diverged from humans over 1000 million years ago?" ]
0
ustilago maydis, saccharomyces cerevisiae, albugo laibachii
[ "Species", "Common Name", "NCBI Accession #", "NCBI Name", "Length", "Sequence Identity", "Sequence Similarity", "Years Since Divergence from Human (mya)" ]
which species diverged from humans over 1000 million years ago?
[ [ "Pan troglodytes", "Chimpanzee", "XP_003317262", "DEPDC5", "1572 aa", "99%", "99%", "6.4" ], [ "Nomascus leucogenys", "Gibbon", "XP_003258163", "DEPDC5", "1602 aa", "99%", "99%", "20.4" ], [ "Mus musculus", "Mouse", "NP_001164038", "DEPDC5", "1591 aa", "94%", "96%", "92.4" ], [ "Bos Taurus", "Cow", "XP_002694678", "DEPDC5", "1593 aa", "94%", "96%", "94.4" ], [ "Sorex araneus", "Shrew", "ACE77702", "DEPDC5", "1570 aa", "94%", "96%", "94.4" ], [ "Monodelphis domestica", "Possum", "XP_001378772", "DEPDC5", "1522 aa", "89%", "93%", "163.9" ], [ "Gallus gallus", "Chicken", "XP_415249", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Meleagris gallopavo", "Turkey", "XP_003211073", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Taeniopygia guttata", "Zebra finch", "XP_002199825", "DEPDC5", "1572 aa", "87%", "92%", "301.7" ], [ "Xenopus tropicalis", "Frog", "XP_002931964", "DEPDC5-like", "1574 aa", "79%", "86%", "371.2" ], [ "Danio rerio", "Zebra fish", "XP_691450", "DEPDC5-like", "1590 aa", "75%", "84%", "400.1" ], [ "Oreochromis niloticus", "Cichlid", "XP_003459226", "DEPDC5", "1577 aa", "74%", "82%", "400.1" ], [ "Strongylocentrotus purpuratus", "Sea urchin", "XP_794020", "similar to DEPDC5", "1608 aa", "43%", "57%", "742.9" ], [ "Drosophila melanogaster", "Drosophila", "NP_647618", "GC12090", "1471 aa", "41%", "57%", "782.7" ], [ "Pediculus humanus corporis", "Louse", "XP_002429401", "DEPDC, putative", "1538 aa", "38%", "53%", "782.7" ], [ "Anopheles gambiae", "Mosquito", "XP_308760", "AGAP007010-PA", "1640 aa", "36%", "51%", "782.7" ], [ "Ascaris suum", "Ascaris", "ADY40551", "DEPDCp5", "1359 aa", "31%", "51%", "937.5" ], [ "Ustilago maydis", "Corn smut", "XP_757759", "vacuolar-associated protein Iml1", "1867 aa", "23%", "52%", "1215.8" ], [ "Saccharomyces cerevisiae", "Yeast", "NP_012672", "Iml1p", "1584 aa", "20%", "50%", "1215.8" ], [ "Albugo laibachii", "White rust", "CCA27519", "vacuolar membrane-associated protein putative", "1591 aa", "20%", "46%", "1362.0" ] ]
[ "Ustilago maydis", "Saccharomyces cerevisiae", "Albugo laibachii" ]
which species diverged from humans over 1000 million years ago? ||
nt-2902
col : species | common name | ncbi accession # | ncbi name | length | sequence identity | sequence similarity | years since divergence from human (mya) row 1 : pan troglodytes | chimpanzee | xp_003317262 | depdc5 | 1572 aa | 99% | 99% | 6.4 row 2 : nomascus leucogenys | gibbon | xp_003258163 | depdc5 | 1602 aa | 99% | 99% | 20.4 row 3 : mus musculus | mouse | np_001164038 | depdc5 | 1591 aa | 94% | 96% | 92.4 row 4 : bos taurus | cow | xp_002694678 | depdc5 | 1593 aa | 94% | 96% | 94.4 row 5 : sorex araneus | shrew | ace77702 | depdc5 | 1570 aa | 94% | 96% | 94.4 row 6 : monodelphis domestica | possum | xp_001378772 | depdc5 | 1522 aa | 89% | 93% | 163.9 row 7 : gallus gallus | chicken | xp_415249 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 8 : meleagris gallopavo | turkey | xp_003211073 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 9 : taeniopygia guttata | zebra finch | xp_002199825 | depdc5 | 1572 aa | 87% | 92% | 301.7 row 10 : xenopus tropicalis | frog | xp_002931964 | depdc5-like | 1574 aa | 79% | 86% | 371.2 row 11 : danio rerio | zebra fish | xp_691450 | depdc5-like | 1590 aa | 75% | 84% | 400.1 row 12 : oreochromis niloticus | cichlid | xp_003459226 | depdc5 | 1577 aa | 74% | 82% | 400.1 row 13 : strongylocentrotus purpuratus | sea urchin | xp_794020 | similar to depdc5 | 1608 aa | 43% | 57% | 742.9 row 14 : drosophila melanogaster | drosophila | np_647618 | gc12090 | 1471 aa | 41% | 57% | 782.7 row 15 : pediculus humanus corporis | louse | xp_002429401 | depdc, putative | 1538 aa | 38% | 53% | 782.7 row 16 : anopheles gambiae | mosquito | xp_308760 | agap007010-pa | 1640 aa | 36% | 51% | 782.7 row 17 : ascaris suum | ascaris | ady40551 | depdcp5 | 1359 aa | 31% | 51% | 937.5 row 18 : ustilago maydis | corn smut | xp_757759 | vacuolar-associated protein iml1 | 1867 aa | 23% | 52% | 1215.8 row 19 : saccharomyces cerevisiae | yeast | np_012672 | iml1p | 1584 aa | 20% | 50% | 1215.8 row 20 : albugo laibachii | white rust | cca27519 | vacuolar membrane-associated protein putative | 1591 aa | 20% | 46% | 1362.0
table_csv/204_358.csv
1
{ "column_index": [ 0 ], "row_index": [ 19 ] }
[ "which species diverged from humans over 1000 million years ago?", "of these, which one diverged the earliest?" ]
0
albugo laibachii
[ "Species", "Common Name", "NCBI Accession #", "NCBI Name", "Length", "Sequence Identity", "Sequence Similarity", "Years Since Divergence from Human (mya)" ]
of these, which one diverged the earliest?
[ [ "Pan troglodytes", "Chimpanzee", "XP_003317262", "DEPDC5", "1572 aa", "99%", "99%", "6.4" ], [ "Nomascus leucogenys", "Gibbon", "XP_003258163", "DEPDC5", "1602 aa", "99%", "99%", "20.4" ], [ "Mus musculus", "Mouse", "NP_001164038", "DEPDC5", "1591 aa", "94%", "96%", "92.4" ], [ "Bos Taurus", "Cow", "XP_002694678", "DEPDC5", "1593 aa", "94%", "96%", "94.4" ], [ "Sorex araneus", "Shrew", "ACE77702", "DEPDC5", "1570 aa", "94%", "96%", "94.4" ], [ "Monodelphis domestica", "Possum", "XP_001378772", "DEPDC5", "1522 aa", "89%", "93%", "163.9" ], [ "Gallus gallus", "Chicken", "XP_415249", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Meleagris gallopavo", "Turkey", "XP_003211073", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Taeniopygia guttata", "Zebra finch", "XP_002199825", "DEPDC5", "1572 aa", "87%", "92%", "301.7" ], [ "Xenopus tropicalis", "Frog", "XP_002931964", "DEPDC5-like", "1574 aa", "79%", "86%", "371.2" ], [ "Danio rerio", "Zebra fish", "XP_691450", "DEPDC5-like", "1590 aa", "75%", "84%", "400.1" ], [ "Oreochromis niloticus", "Cichlid", "XP_003459226", "DEPDC5", "1577 aa", "74%", "82%", "400.1" ], [ "Strongylocentrotus purpuratus", "Sea urchin", "XP_794020", "similar to DEPDC5", "1608 aa", "43%", "57%", "742.9" ], [ "Drosophila melanogaster", "Drosophila", "NP_647618", "GC12090", "1471 aa", "41%", "57%", "782.7" ], [ "Pediculus humanus corporis", "Louse", "XP_002429401", "DEPDC, putative", "1538 aa", "38%", "53%", "782.7" ], [ "Anopheles gambiae", "Mosquito", "XP_308760", "AGAP007010-PA", "1640 aa", "36%", "51%", "782.7" ], [ "Ascaris suum", "Ascaris", "ADY40551", "DEPDCp5", "1359 aa", "31%", "51%", "937.5" ], [ "Ustilago maydis", "Corn smut", "XP_757759", "vacuolar-associated protein Iml1", "1867 aa", "23%", "52%", "1215.8" ], [ "Saccharomyces cerevisiae", "Yeast", "NP_012672", "Iml1p", "1584 aa", "20%", "50%", "1215.8" ], [ "Albugo laibachii", "White rust", "CCA27519", "vacuolar membrane-associated protein putative", "1591 aa", "20%", "46%", "1362.0" ] ]
[ "Albugo laibachii" ]
of these, which one diverged the earliest? || which species diverged from humans over 1000 million years ago?
nt-2902
col : species | common name | ncbi accession # | ncbi name | length | sequence identity | sequence similarity | years since divergence from human (mya) row 1 : pan troglodytes | chimpanzee | xp_003317262 | depdc5 | 1572 aa | 99% | 99% | 6.4 row 2 : nomascus leucogenys | gibbon | xp_003258163 | depdc5 | 1602 aa | 99% | 99% | 20.4 row 3 : mus musculus | mouse | np_001164038 | depdc5 | 1591 aa | 94% | 96% | 92.4 row 4 : bos taurus | cow | xp_002694678 | depdc5 | 1593 aa | 94% | 96% | 94.4 row 5 : sorex araneus | shrew | ace77702 | depdc5 | 1570 aa | 94% | 96% | 94.4 row 6 : monodelphis domestica | possum | xp_001378772 | depdc5 | 1522 aa | 89% | 93% | 163.9 row 7 : gallus gallus | chicken | xp_415249 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 8 : meleagris gallopavo | turkey | xp_003211073 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 9 : taeniopygia guttata | zebra finch | xp_002199825 | depdc5 | 1572 aa | 87% | 92% | 301.7 row 10 : xenopus tropicalis | frog | xp_002931964 | depdc5-like | 1574 aa | 79% | 86% | 371.2 row 11 : danio rerio | zebra fish | xp_691450 | depdc5-like | 1590 aa | 75% | 84% | 400.1 row 12 : oreochromis niloticus | cichlid | xp_003459226 | depdc5 | 1577 aa | 74% | 82% | 400.1 row 13 : strongylocentrotus purpuratus | sea urchin | xp_794020 | similar to depdc5 | 1608 aa | 43% | 57% | 742.9 row 14 : drosophila melanogaster | drosophila | np_647618 | gc12090 | 1471 aa | 41% | 57% | 782.7 row 15 : pediculus humanus corporis | louse | xp_002429401 | depdc, putative | 1538 aa | 38% | 53% | 782.7 row 16 : anopheles gambiae | mosquito | xp_308760 | agap007010-pa | 1640 aa | 36% | 51% | 782.7 row 17 : ascaris suum | ascaris | ady40551 | depdcp5 | 1359 aa | 31% | 51% | 937.5 row 18 : ustilago maydis | corn smut | xp_757759 | vacuolar-associated protein iml1 | 1867 aa | 23% | 52% | 1215.8 row 19 : saccharomyces cerevisiae | yeast | np_012672 | iml1p | 1584 aa | 20% | 50% | 1215.8 row 20 : albugo laibachii | white rust | cca27519 | vacuolar membrane-associated protein putative | 1591 aa | 20% | 46% | 1362.0
table_csv/204_358.csv
0
{ "column_index": [ 5 ], "row_index": [ 19 ] }
[ "what is the lowest percentage of sequence similarity" ]
1
20%
[ "Species", "Common Name", "NCBI Accession #", "NCBI Name", "Length", "Sequence Identity", "Sequence Similarity", "Years Since Divergence from Human (mya)" ]
what is the lowest percentage of sequence similarity
[ [ "Pan troglodytes", "Chimpanzee", "XP_003317262", "DEPDC5", "1572 aa", "99%", "99%", "6.4" ], [ "Nomascus leucogenys", "Gibbon", "XP_003258163", "DEPDC5", "1602 aa", "99%", "99%", "20.4" ], [ "Mus musculus", "Mouse", "NP_001164038", "DEPDC5", "1591 aa", "94%", "96%", "92.4" ], [ "Bos Taurus", "Cow", "XP_002694678", "DEPDC5", "1593 aa", "94%", "96%", "94.4" ], [ "Sorex araneus", "Shrew", "ACE77702", "DEPDC5", "1570 aa", "94%", "96%", "94.4" ], [ "Monodelphis domestica", "Possum", "XP_001378772", "DEPDC5", "1522 aa", "89%", "93%", "163.9" ], [ "Gallus gallus", "Chicken", "XP_415249", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Meleagris gallopavo", "Turkey", "XP_003211073", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Taeniopygia guttata", "Zebra finch", "XP_002199825", "DEPDC5", "1572 aa", "87%", "92%", "301.7" ], [ "Xenopus tropicalis", "Frog", "XP_002931964", "DEPDC5-like", "1574 aa", "79%", "86%", "371.2" ], [ "Danio rerio", "Zebra fish", "XP_691450", "DEPDC5-like", "1590 aa", "75%", "84%", "400.1" ], [ "Oreochromis niloticus", "Cichlid", "XP_003459226", "DEPDC5", "1577 aa", "74%", "82%", "400.1" ], [ "Strongylocentrotus purpuratus", "Sea urchin", "XP_794020", "similar to DEPDC5", "1608 aa", "43%", "57%", "742.9" ], [ "Drosophila melanogaster", "Drosophila", "NP_647618", "GC12090", "1471 aa", "41%", "57%", "782.7" ], [ "Pediculus humanus corporis", "Louse", "XP_002429401", "DEPDC, putative", "1538 aa", "38%", "53%", "782.7" ], [ "Anopheles gambiae", "Mosquito", "XP_308760", "AGAP007010-PA", "1640 aa", "36%", "51%", "782.7" ], [ "Ascaris suum", "Ascaris", "ADY40551", "DEPDCp5", "1359 aa", "31%", "51%", "937.5" ], [ "Ustilago maydis", "Corn smut", "XP_757759", "vacuolar-associated protein Iml1", "1867 aa", "23%", "52%", "1215.8" ], [ "Saccharomyces cerevisiae", "Yeast", "NP_012672", "Iml1p", "1584 aa", "20%", "50%", "1215.8" ], [ "Albugo laibachii", "White rust", "CCA27519", "vacuolar membrane-associated protein putative", "1591 aa", "20%", "46%", "1362.0" ] ]
[ "20%" ]
what is the lowest percentage of sequence similarity ||
nt-2902
col : species | common name | ncbi accession # | ncbi name | length | sequence identity | sequence similarity | years since divergence from human (mya) row 1 : pan troglodytes | chimpanzee | xp_003317262 | depdc5 | 1572 aa | 99% | 99% | 6.4 row 2 : nomascus leucogenys | gibbon | xp_003258163 | depdc5 | 1602 aa | 99% | 99% | 20.4 row 3 : mus musculus | mouse | np_001164038 | depdc5 | 1591 aa | 94% | 96% | 92.4 row 4 : bos taurus | cow | xp_002694678 | depdc5 | 1593 aa | 94% | 96% | 94.4 row 5 : sorex araneus | shrew | ace77702 | depdc5 | 1570 aa | 94% | 96% | 94.4 row 6 : monodelphis domestica | possum | xp_001378772 | depdc5 | 1522 aa | 89% | 93% | 163.9 row 7 : gallus gallus | chicken | xp_415249 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 8 : meleagris gallopavo | turkey | xp_003211073 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 9 : taeniopygia guttata | zebra finch | xp_002199825 | depdc5 | 1572 aa | 87% | 92% | 301.7 row 10 : xenopus tropicalis | frog | xp_002931964 | depdc5-like | 1574 aa | 79% | 86% | 371.2 row 11 : danio rerio | zebra fish | xp_691450 | depdc5-like | 1590 aa | 75% | 84% | 400.1 row 12 : oreochromis niloticus | cichlid | xp_003459226 | depdc5 | 1577 aa | 74% | 82% | 400.1 row 13 : strongylocentrotus purpuratus | sea urchin | xp_794020 | similar to depdc5 | 1608 aa | 43% | 57% | 742.9 row 14 : drosophila melanogaster | drosophila | np_647618 | gc12090 | 1471 aa | 41% | 57% | 782.7 row 15 : pediculus humanus corporis | louse | xp_002429401 | depdc, putative | 1538 aa | 38% | 53% | 782.7 row 16 : anopheles gambiae | mosquito | xp_308760 | agap007010-pa | 1640 aa | 36% | 51% | 782.7 row 17 : ascaris suum | ascaris | ady40551 | depdcp5 | 1359 aa | 31% | 51% | 937.5 row 18 : ustilago maydis | corn smut | xp_757759 | vacuolar-associated protein iml1 | 1867 aa | 23% | 52% | 1215.8 row 19 : saccharomyces cerevisiae | yeast | np_012672 | iml1p | 1584 aa | 20% | 50% | 1215.8 row 20 : albugo laibachii | white rust | cca27519 | vacuolar membrane-associated protein putative | 1591 aa | 20% | 46% | 1362.0
table_csv/204_358.csv
1
{ "column_index": [ 0 ], "row_index": [ 19 ] }
[ "what is the lowest percentage of sequence similarity", "what species does this belong to?" ]
1
albugo laibachii
[ "Species", "Common Name", "NCBI Accession #", "NCBI Name", "Length", "Sequence Identity", "Sequence Similarity", "Years Since Divergence from Human (mya)" ]
what species does this belong to?
[ [ "Pan troglodytes", "Chimpanzee", "XP_003317262", "DEPDC5", "1572 aa", "99%", "99%", "6.4" ], [ "Nomascus leucogenys", "Gibbon", "XP_003258163", "DEPDC5", "1602 aa", "99%", "99%", "20.4" ], [ "Mus musculus", "Mouse", "NP_001164038", "DEPDC5", "1591 aa", "94%", "96%", "92.4" ], [ "Bos Taurus", "Cow", "XP_002694678", "DEPDC5", "1593 aa", "94%", "96%", "94.4" ], [ "Sorex araneus", "Shrew", "ACE77702", "DEPDC5", "1570 aa", "94%", "96%", "94.4" ], [ "Monodelphis domestica", "Possum", "XP_001378772", "DEPDC5", "1522 aa", "89%", "93%", "163.9" ], [ "Gallus gallus", "Chicken", "XP_415249", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Meleagris gallopavo", "Turkey", "XP_003211073", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Taeniopygia guttata", "Zebra finch", "XP_002199825", "DEPDC5", "1572 aa", "87%", "92%", "301.7" ], [ "Xenopus tropicalis", "Frog", "XP_002931964", "DEPDC5-like", "1574 aa", "79%", "86%", "371.2" ], [ "Danio rerio", "Zebra fish", "XP_691450", "DEPDC5-like", "1590 aa", "75%", "84%", "400.1" ], [ "Oreochromis niloticus", "Cichlid", "XP_003459226", "DEPDC5", "1577 aa", "74%", "82%", "400.1" ], [ "Strongylocentrotus purpuratus", "Sea urchin", "XP_794020", "similar to DEPDC5", "1608 aa", "43%", "57%", "742.9" ], [ "Drosophila melanogaster", "Drosophila", "NP_647618", "GC12090", "1471 aa", "41%", "57%", "782.7" ], [ "Pediculus humanus corporis", "Louse", "XP_002429401", "DEPDC, putative", "1538 aa", "38%", "53%", "782.7" ], [ "Anopheles gambiae", "Mosquito", "XP_308760", "AGAP007010-PA", "1640 aa", "36%", "51%", "782.7" ], [ "Ascaris suum", "Ascaris", "ADY40551", "DEPDCp5", "1359 aa", "31%", "51%", "937.5" ], [ "Ustilago maydis", "Corn smut", "XP_757759", "vacuolar-associated protein Iml1", "1867 aa", "23%", "52%", "1215.8" ], [ "Saccharomyces cerevisiae", "Yeast", "NP_012672", "Iml1p", "1584 aa", "20%", "50%", "1215.8" ], [ "Albugo laibachii", "White rust", "CCA27519", "vacuolar membrane-associated protein putative", "1591 aa", "20%", "46%", "1362.0" ] ]
[ "Albugo laibachii" ]
what species does this belong to? || what is the lowest percentage of sequence similarity
nt-2902
col : species | common name | ncbi accession # | ncbi name | length | sequence identity | sequence similarity | years since divergence from human (mya) row 1 : pan troglodytes | chimpanzee | xp_003317262 | depdc5 | 1572 aa | 99% | 99% | 6.4 row 2 : nomascus leucogenys | gibbon | xp_003258163 | depdc5 | 1602 aa | 99% | 99% | 20.4 row 3 : mus musculus | mouse | np_001164038 | depdc5 | 1591 aa | 94% | 96% | 92.4 row 4 : bos taurus | cow | xp_002694678 | depdc5 | 1593 aa | 94% | 96% | 94.4 row 5 : sorex araneus | shrew | ace77702 | depdc5 | 1570 aa | 94% | 96% | 94.4 row 6 : monodelphis domestica | possum | xp_001378772 | depdc5 | 1522 aa | 89% | 93% | 163.9 row 7 : gallus gallus | chicken | xp_415249 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 8 : meleagris gallopavo | turkey | xp_003211073 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 9 : taeniopygia guttata | zebra finch | xp_002199825 | depdc5 | 1572 aa | 87% | 92% | 301.7 row 10 : xenopus tropicalis | frog | xp_002931964 | depdc5-like | 1574 aa | 79% | 86% | 371.2 row 11 : danio rerio | zebra fish | xp_691450 | depdc5-like | 1590 aa | 75% | 84% | 400.1 row 12 : oreochromis niloticus | cichlid | xp_003459226 | depdc5 | 1577 aa | 74% | 82% | 400.1 row 13 : strongylocentrotus purpuratus | sea urchin | xp_794020 | similar to depdc5 | 1608 aa | 43% | 57% | 742.9 row 14 : drosophila melanogaster | drosophila | np_647618 | gc12090 | 1471 aa | 41% | 57% | 782.7 row 15 : pediculus humanus corporis | louse | xp_002429401 | depdc, putative | 1538 aa | 38% | 53% | 782.7 row 16 : anopheles gambiae | mosquito | xp_308760 | agap007010-pa | 1640 aa | 36% | 51% | 782.7 row 17 : ascaris suum | ascaris | ady40551 | depdcp5 | 1359 aa | 31% | 51% | 937.5 row 18 : ustilago maydis | corn smut | xp_757759 | vacuolar-associated protein iml1 | 1867 aa | 23% | 52% | 1215.8 row 19 : saccharomyces cerevisiae | yeast | np_012672 | iml1p | 1584 aa | 20% | 50% | 1215.8 row 20 : albugo laibachii | white rust | cca27519 | vacuolar membrane-associated protein putative | 1591 aa | 20% | 46% | 1362.0
table_csv/204_358.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ] }
[ "what are all of the species?" ]
2
pan troglodytes, nomascus leucogenys, mus musculus, bos taurus, sorex araneus, monodelphis domestica, gallus gallus, meleagris gallopavo, taeniopygia guttata, xenopus tropicalis, danio rerio, oreochromis niloticus, strongylocentrotus purpuratus, drosophila melanogaster, pediculus humanus corporis, anopheles gambiae, ascaris suum, ustilago maydis, saccharomyces cerevisiae, albugo laibachii
[ "Species", "Common Name", "NCBI Accession #", "NCBI Name", "Length", "Sequence Identity", "Sequence Similarity", "Years Since Divergence from Human (mya)" ]
what are all of the species?
[ [ "Pan troglodytes", "Chimpanzee", "XP_003317262", "DEPDC5", "1572 aa", "99%", "99%", "6.4" ], [ "Nomascus leucogenys", "Gibbon", "XP_003258163", "DEPDC5", "1602 aa", "99%", "99%", "20.4" ], [ "Mus musculus", "Mouse", "NP_001164038", "DEPDC5", "1591 aa", "94%", "96%", "92.4" ], [ "Bos Taurus", "Cow", "XP_002694678", "DEPDC5", "1593 aa", "94%", "96%", "94.4" ], [ "Sorex araneus", "Shrew", "ACE77702", "DEPDC5", "1570 aa", "94%", "96%", "94.4" ], [ "Monodelphis domestica", "Possum", "XP_001378772", "DEPDC5", "1522 aa", "89%", "93%", "163.9" ], [ "Gallus gallus", "Chicken", "XP_415249", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Meleagris gallopavo", "Turkey", "XP_003211073", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Taeniopygia guttata", "Zebra finch", "XP_002199825", "DEPDC5", "1572 aa", "87%", "92%", "301.7" ], [ "Xenopus tropicalis", "Frog", "XP_002931964", "DEPDC5-like", "1574 aa", "79%", "86%", "371.2" ], [ "Danio rerio", "Zebra fish", "XP_691450", "DEPDC5-like", "1590 aa", "75%", "84%", "400.1" ], [ "Oreochromis niloticus", "Cichlid", "XP_003459226", "DEPDC5", "1577 aa", "74%", "82%", "400.1" ], [ "Strongylocentrotus purpuratus", "Sea urchin", "XP_794020", "similar to DEPDC5", "1608 aa", "43%", "57%", "742.9" ], [ "Drosophila melanogaster", "Drosophila", "NP_647618", "GC12090", "1471 aa", "41%", "57%", "782.7" ], [ "Pediculus humanus corporis", "Louse", "XP_002429401", "DEPDC, putative", "1538 aa", "38%", "53%", "782.7" ], [ "Anopheles gambiae", "Mosquito", "XP_308760", "AGAP007010-PA", "1640 aa", "36%", "51%", "782.7" ], [ "Ascaris suum", "Ascaris", "ADY40551", "DEPDCp5", "1359 aa", "31%", "51%", "937.5" ], [ "Ustilago maydis", "Corn smut", "XP_757759", "vacuolar-associated protein Iml1", "1867 aa", "23%", "52%", "1215.8" ], [ "Saccharomyces cerevisiae", "Yeast", "NP_012672", "Iml1p", "1584 aa", "20%", "50%", "1215.8" ], [ "Albugo laibachii", "White rust", "CCA27519", "vacuolar membrane-associated protein putative", "1591 aa", "20%", "46%", "1362.0" ] ]
[ "Pan troglodytes", "Nomascus leucogenys", "Mus musculus", "Bos Taurus", "Sorex araneus", "Monodelphis domestica", "Gallus gallus", "Meleagris gallopavo", "Taeniopygia guttata", "Xenopus tropicalis", "Danio rerio", "Oreochromis niloticus", "Strongylocentrotus purpuratus", "Drosophila melanogaster", "Pediculus humanus corporis", "Anopheles gambiae", "Ascaris suum", "Ustilago maydis", "Saccharomyces cerevisiae", "Albugo laibachii" ]
what are all of the species? ||
nt-2902
col : species | common name | ncbi accession # | ncbi name | length | sequence identity | sequence similarity | years since divergence from human (mya) row 1 : pan troglodytes | chimpanzee | xp_003317262 | depdc5 | 1572 aa | 99% | 99% | 6.4 row 2 : nomascus leucogenys | gibbon | xp_003258163 | depdc5 | 1602 aa | 99% | 99% | 20.4 row 3 : mus musculus | mouse | np_001164038 | depdc5 | 1591 aa | 94% | 96% | 92.4 row 4 : bos taurus | cow | xp_002694678 | depdc5 | 1593 aa | 94% | 96% | 94.4 row 5 : sorex araneus | shrew | ace77702 | depdc5 | 1570 aa | 94% | 96% | 94.4 row 6 : monodelphis domestica | possum | xp_001378772 | depdc5 | 1522 aa | 89% | 93% | 163.9 row 7 : gallus gallus | chicken | xp_415249 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 8 : meleagris gallopavo | turkey | xp_003211073 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 9 : taeniopygia guttata | zebra finch | xp_002199825 | depdc5 | 1572 aa | 87% | 92% | 301.7 row 10 : xenopus tropicalis | frog | xp_002931964 | depdc5-like | 1574 aa | 79% | 86% | 371.2 row 11 : danio rerio | zebra fish | xp_691450 | depdc5-like | 1590 aa | 75% | 84% | 400.1 row 12 : oreochromis niloticus | cichlid | xp_003459226 | depdc5 | 1577 aa | 74% | 82% | 400.1 row 13 : strongylocentrotus purpuratus | sea urchin | xp_794020 | similar to depdc5 | 1608 aa | 43% | 57% | 742.9 row 14 : drosophila melanogaster | drosophila | np_647618 | gc12090 | 1471 aa | 41% | 57% | 782.7 row 15 : pediculus humanus corporis | louse | xp_002429401 | depdc, putative | 1538 aa | 38% | 53% | 782.7 row 16 : anopheles gambiae | mosquito | xp_308760 | agap007010-pa | 1640 aa | 36% | 51% | 782.7 row 17 : ascaris suum | ascaris | ady40551 | depdcp5 | 1359 aa | 31% | 51% | 937.5 row 18 : ustilago maydis | corn smut | xp_757759 | vacuolar-associated protein iml1 | 1867 aa | 23% | 52% | 1215.8 row 19 : saccharomyces cerevisiae | yeast | np_012672 | iml1p | 1584 aa | 20% | 50% | 1215.8 row 20 : albugo laibachii | white rust | cca27519 | vacuolar membrane-associated protein putative | 1591 aa | 20% | 46% | 1362.0
table_csv/204_358.csv
1
{ "column_index": [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ] }
[ "what are all of the species?", "what is the year of divergence from human for each species?" ]
2
6.4, 20.4, 92.4, 94.4, 94.4, 163.9, 301.7, 301.7, 301.7, 371.2, 400.1, 400.1, 742.9, 782.7, 782.7, 782.7, 937.5, 1215.8, 1215.8, 1362
[ "Species", "Common Name", "NCBI Accession #", "NCBI Name", "Length", "Sequence Identity", "Sequence Similarity", "Years Since Divergence from Human (mya)" ]
what is the year of divergence from human for each species?
[ [ "Pan troglodytes", "Chimpanzee", "XP_003317262", "DEPDC5", "1572 aa", "99%", "99%", "6.4" ], [ "Nomascus leucogenys", "Gibbon", "XP_003258163", "DEPDC5", "1602 aa", "99%", "99%", "20.4" ], [ "Mus musculus", "Mouse", "NP_001164038", "DEPDC5", "1591 aa", "94%", "96%", "92.4" ], [ "Bos Taurus", "Cow", "XP_002694678", "DEPDC5", "1593 aa", "94%", "96%", "94.4" ], [ "Sorex araneus", "Shrew", "ACE77702", "DEPDC5", "1570 aa", "94%", "96%", "94.4" ], [ "Monodelphis domestica", "Possum", "XP_001378772", "DEPDC5", "1522 aa", "89%", "93%", "163.9" ], [ "Gallus gallus", "Chicken", "XP_415249", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Meleagris gallopavo", "Turkey", "XP_003211073", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Taeniopygia guttata", "Zebra finch", "XP_002199825", "DEPDC5", "1572 aa", "87%", "92%", "301.7" ], [ "Xenopus tropicalis", "Frog", "XP_002931964", "DEPDC5-like", "1574 aa", "79%", "86%", "371.2" ], [ "Danio rerio", "Zebra fish", "XP_691450", "DEPDC5-like", "1590 aa", "75%", "84%", "400.1" ], [ "Oreochromis niloticus", "Cichlid", "XP_003459226", "DEPDC5", "1577 aa", "74%", "82%", "400.1" ], [ "Strongylocentrotus purpuratus", "Sea urchin", "XP_794020", "similar to DEPDC5", "1608 aa", "43%", "57%", "742.9" ], [ "Drosophila melanogaster", "Drosophila", "NP_647618", "GC12090", "1471 aa", "41%", "57%", "782.7" ], [ "Pediculus humanus corporis", "Louse", "XP_002429401", "DEPDC, putative", "1538 aa", "38%", "53%", "782.7" ], [ "Anopheles gambiae", "Mosquito", "XP_308760", "AGAP007010-PA", "1640 aa", "36%", "51%", "782.7" ], [ "Ascaris suum", "Ascaris", "ADY40551", "DEPDCp5", "1359 aa", "31%", "51%", "937.5" ], [ "Ustilago maydis", "Corn smut", "XP_757759", "vacuolar-associated protein Iml1", "1867 aa", "23%", "52%", "1215.8" ], [ "Saccharomyces cerevisiae", "Yeast", "NP_012672", "Iml1p", "1584 aa", "20%", "50%", "1215.8" ], [ "Albugo laibachii", "White rust", "CCA27519", "vacuolar membrane-associated protein putative", "1591 aa", "20%", "46%", "1362.0" ] ]
[ "6.4", "20.4", "92.4", "94.4", "94.4", "163.9", "301.7", "301.7", "301.7", "371.2", "400.1", "400.1", "742.9", "782.7", "782.7", "782.7", "937.5", "1215.8", "1215.8", "1362" ]
what is the year of divergence from human for each species? || what are all of the species?
nt-2902
col : species | common name | ncbi accession # | ncbi name | length | sequence identity | sequence similarity | years since divergence from human (mya) row 1 : pan troglodytes | chimpanzee | xp_003317262 | depdc5 | 1572 aa | 99% | 99% | 6.4 row 2 : nomascus leucogenys | gibbon | xp_003258163 | depdc5 | 1602 aa | 99% | 99% | 20.4 row 3 : mus musculus | mouse | np_001164038 | depdc5 | 1591 aa | 94% | 96% | 92.4 row 4 : bos taurus | cow | xp_002694678 | depdc5 | 1593 aa | 94% | 96% | 94.4 row 5 : sorex araneus | shrew | ace77702 | depdc5 | 1570 aa | 94% | 96% | 94.4 row 6 : monodelphis domestica | possum | xp_001378772 | depdc5 | 1522 aa | 89% | 93% | 163.9 row 7 : gallus gallus | chicken | xp_415249 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 8 : meleagris gallopavo | turkey | xp_003211073 | depdc5 | 1592 aa | 88% | 93% | 301.7 row 9 : taeniopygia guttata | zebra finch | xp_002199825 | depdc5 | 1572 aa | 87% | 92% | 301.7 row 10 : xenopus tropicalis | frog | xp_002931964 | depdc5-like | 1574 aa | 79% | 86% | 371.2 row 11 : danio rerio | zebra fish | xp_691450 | depdc5-like | 1590 aa | 75% | 84% | 400.1 row 12 : oreochromis niloticus | cichlid | xp_003459226 | depdc5 | 1577 aa | 74% | 82% | 400.1 row 13 : strongylocentrotus purpuratus | sea urchin | xp_794020 | similar to depdc5 | 1608 aa | 43% | 57% | 742.9 row 14 : drosophila melanogaster | drosophila | np_647618 | gc12090 | 1471 aa | 41% | 57% | 782.7 row 15 : pediculus humanus corporis | louse | xp_002429401 | depdc, putative | 1538 aa | 38% | 53% | 782.7 row 16 : anopheles gambiae | mosquito | xp_308760 | agap007010-pa | 1640 aa | 36% | 51% | 782.7 row 17 : ascaris suum | ascaris | ady40551 | depdcp5 | 1359 aa | 31% | 51% | 937.5 row 18 : ustilago maydis | corn smut | xp_757759 | vacuolar-associated protein iml1 | 1867 aa | 23% | 52% | 1215.8 row 19 : saccharomyces cerevisiae | yeast | np_012672 | iml1p | 1584 aa | 20% | 50% | 1215.8 row 20 : albugo laibachii | white rust | cca27519 | vacuolar membrane-associated protein putative | 1591 aa | 20% | 46% | 1362.0
table_csv/204_358.csv
2
{ "column_index": [ 0 ], "row_index": [ 19 ] }
[ "what are all of the species?", "what is the year of divergence from human for each species?", "and which species has the highest divergence?" ]
2
albugo laibachii
[ "Species", "Common Name", "NCBI Accession #", "NCBI Name", "Length", "Sequence Identity", "Sequence Similarity", "Years Since Divergence from Human (mya)" ]
and which species has the highest divergence?
[ [ "Pan troglodytes", "Chimpanzee", "XP_003317262", "DEPDC5", "1572 aa", "99%", "99%", "6.4" ], [ "Nomascus leucogenys", "Gibbon", "XP_003258163", "DEPDC5", "1602 aa", "99%", "99%", "20.4" ], [ "Mus musculus", "Mouse", "NP_001164038", "DEPDC5", "1591 aa", "94%", "96%", "92.4" ], [ "Bos Taurus", "Cow", "XP_002694678", "DEPDC5", "1593 aa", "94%", "96%", "94.4" ], [ "Sorex araneus", "Shrew", "ACE77702", "DEPDC5", "1570 aa", "94%", "96%", "94.4" ], [ "Monodelphis domestica", "Possum", "XP_001378772", "DEPDC5", "1522 aa", "89%", "93%", "163.9" ], [ "Gallus gallus", "Chicken", "XP_415249", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Meleagris gallopavo", "Turkey", "XP_003211073", "DEPDC5", "1592 aa", "88%", "93%", "301.7" ], [ "Taeniopygia guttata", "Zebra finch", "XP_002199825", "DEPDC5", "1572 aa", "87%", "92%", "301.7" ], [ "Xenopus tropicalis", "Frog", "XP_002931964", "DEPDC5-like", "1574 aa", "79%", "86%", "371.2" ], [ "Danio rerio", "Zebra fish", "XP_691450", "DEPDC5-like", "1590 aa", "75%", "84%", "400.1" ], [ "Oreochromis niloticus", "Cichlid", "XP_003459226", "DEPDC5", "1577 aa", "74%", "82%", "400.1" ], [ "Strongylocentrotus purpuratus", "Sea urchin", "XP_794020", "similar to DEPDC5", "1608 aa", "43%", "57%", "742.9" ], [ "Drosophila melanogaster", "Drosophila", "NP_647618", "GC12090", "1471 aa", "41%", "57%", "782.7" ], [ "Pediculus humanus corporis", "Louse", "XP_002429401", "DEPDC, putative", "1538 aa", "38%", "53%", "782.7" ], [ "Anopheles gambiae", "Mosquito", "XP_308760", "AGAP007010-PA", "1640 aa", "36%", "51%", "782.7" ], [ "Ascaris suum", "Ascaris", "ADY40551", "DEPDCp5", "1359 aa", "31%", "51%", "937.5" ], [ "Ustilago maydis", "Corn smut", "XP_757759", "vacuolar-associated protein Iml1", "1867 aa", "23%", "52%", "1215.8" ], [ "Saccharomyces cerevisiae", "Yeast", "NP_012672", "Iml1p", "1584 aa", "20%", "50%", "1215.8" ], [ "Albugo laibachii", "White rust", "CCA27519", "vacuolar membrane-associated protein putative", "1591 aa", "20%", "46%", "1362.0" ] ]
[ "Albugo laibachii" ]
and which species has the highest divergence? || what is the year of divergence from human for each species? | what are all of the species?
nt-2906
col : place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points row 1 : 1.0 | c.d. fas | 18 | 10 | 6 | 2 | 27 | 13 | 14 | 36 row 2 : 2.0 | c.d. aguila | 18 | 9 | 4 | 5 | 38 | 26 | 12 | 31 row 3 : 3.0 | c.d. luis angel firpo | 18 | 7 | 7 | 4 | 25 | 18 | 7 | 28 row 4 : 4.0 | san salvador f.c. | 18 | 8 | 4 | 6 | 31 | 27 | 4 | 28 row 5 : 5.0 | alianza f.c. | 18 | 8 | 4 | 6 | 26 | 24 | 2 | 28 row 6 : 6.0 | a.d. isidro metapan | 18 | 4 | 9 | 5 | 20 | 23 | -3 | 21 row 7 : 7.0 | municipal limeno | 18 | 5 | 5 | 8 | 27 | 29 | -2 | 20 row 8 : 8.0 | c.d. arcense | 18 | 2 | 11 | 5 | 23 | 32 | -11 | 17 row 9 : 9.0 | chalatenango | 18 | 4 | 5 | 9 | 13 | 22 | -9 | 17 row 10 : 10.0 | c.d. atletico balboa | 18 | 4 | 3 | 11 | 15 | 31 | -24 | 15
table_csv/203_67.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are the teams in the primera division de futbol profesional apertura 2003?" ]
0
c.d. fas, c.d. aguila, c.d. luis angel firpo, san salvador f.c., alianza f.c., a.d. isidro metapan, municipal limeno, c.d. arcense, chalatenango, c.d. atletico balboa
[ "Place", "Team", "Played", "Won", "Draw", "Lost", "Goals Scored", "Goals Conceded", "+/-", "Points" ]
what are the teams in the primera division de futbol profesional apertura 2003?
[ [ "1.0", "C.D. FAS", "18", "10", "6", "2", "27", "13", "14", "36" ], [ "2.0", "C.D. Aguila", "18", "9", "4", "5", "38", "26", "12", "31" ], [ "3.0", "C.D. Luis Angel Firpo", "18", "7", "7", "4", "25", "18", "7", "28" ], [ "4.0", "San Salvador F.C.", "18", "8", "4", "6", "31", "27", "4", "28" ], [ "5.0", "Alianza F.C.", "18", "8", "4", "6", "26", "24", "2", "28" ], [ "6.0", "A.D. Isidro Metapan", "18", "4", "9", "5", "20", "23", "-3", "21" ], [ "7.0", "Municipal Limeno", "18", "5", "5", "8", "27", "29", "-2", "20" ], [ "8.0", "C.D. Arcense", "18", "2", "11", "5", "23", "32", "-11", "17" ], [ "9.0", "Chalatenango", "18", "4", "5", "9", "13", "22", "-9", "17" ], [ "10.0", "C.D. Atletico Balboa", "18", "4", "3", "11", "15", "31", "-24", "15" ] ]
[ "C.D. FAS", "C.D. Aguila", "C.D. Luis Angel Firpo", "San Salvador F.C.", "Alianza F.C.", "A.D. Isidro Metapan", "Municipal Limeno", "C.D. Arcense", "Chalatenango", "C.D. Atletico Balboa" ]
what are the teams in the primera division de futbol profesional apertura 2003? ||
nt-2906
col : place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points row 1 : 1.0 | c.d. fas | 18 | 10 | 6 | 2 | 27 | 13 | 14 | 36 row 2 : 2.0 | c.d. aguila | 18 | 9 | 4 | 5 | 38 | 26 | 12 | 31 row 3 : 3.0 | c.d. luis angel firpo | 18 | 7 | 7 | 4 | 25 | 18 | 7 | 28 row 4 : 4.0 | san salvador f.c. | 18 | 8 | 4 | 6 | 31 | 27 | 4 | 28 row 5 : 5.0 | alianza f.c. | 18 | 8 | 4 | 6 | 26 | 24 | 2 | 28 row 6 : 6.0 | a.d. isidro metapan | 18 | 4 | 9 | 5 | 20 | 23 | -3 | 21 row 7 : 7.0 | municipal limeno | 18 | 5 | 5 | 8 | 27 | 29 | -2 | 20 row 8 : 8.0 | c.d. arcense | 18 | 2 | 11 | 5 | 23 | 32 | -11 | 17 row 9 : 9.0 | chalatenango | 18 | 4 | 5 | 9 | 13 | 22 | -9 | 17 row 10 : 10.0 | c.d. atletico balboa | 18 | 4 | 3 | 11 | 15 | 31 | -24 | 15
table_csv/203_67.csv
1
{ "column_index": [ 9 ], "row_index": [ 7 ] }
[ "what are the teams in the primera division de futbol profesional apertura 2003?", "what was c.d arcense points?" ]
0
17
[ "Place", "Team", "Played", "Won", "Draw", "Lost", "Goals Scored", "Goals Conceded", "+/-", "Points" ]
what was c.d arcense points?
[ [ "1.0", "C.D. FAS", "18", "10", "6", "2", "27", "13", "14", "36" ], [ "2.0", "C.D. Aguila", "18", "9", "4", "5", "38", "26", "12", "31" ], [ "3.0", "C.D. Luis Angel Firpo", "18", "7", "7", "4", "25", "18", "7", "28" ], [ "4.0", "San Salvador F.C.", "18", "8", "4", "6", "31", "27", "4", "28" ], [ "5.0", "Alianza F.C.", "18", "8", "4", "6", "26", "24", "2", "28" ], [ "6.0", "A.D. Isidro Metapan", "18", "4", "9", "5", "20", "23", "-3", "21" ], [ "7.0", "Municipal Limeno", "18", "5", "5", "8", "27", "29", "-2", "20" ], [ "8.0", "C.D. Arcense", "18", "2", "11", "5", "23", "32", "-11", "17" ], [ "9.0", "Chalatenango", "18", "4", "5", "9", "13", "22", "-9", "17" ], [ "10.0", "C.D. Atletico Balboa", "18", "4", "3", "11", "15", "31", "-24", "15" ] ]
[ "17" ]
what was c.d arcense points? || what are the teams in the primera division de futbol profesional apertura 2003?
nt-2906
col : place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points row 1 : 1.0 | c.d. fas | 18 | 10 | 6 | 2 | 27 | 13 | 14 | 36 row 2 : 2.0 | c.d. aguila | 18 | 9 | 4 | 5 | 38 | 26 | 12 | 31 row 3 : 3.0 | c.d. luis angel firpo | 18 | 7 | 7 | 4 | 25 | 18 | 7 | 28 row 4 : 4.0 | san salvador f.c. | 18 | 8 | 4 | 6 | 31 | 27 | 4 | 28 row 5 : 5.0 | alianza f.c. | 18 | 8 | 4 | 6 | 26 | 24 | 2 | 28 row 6 : 6.0 | a.d. isidro metapan | 18 | 4 | 9 | 5 | 20 | 23 | -3 | 21 row 7 : 7.0 | municipal limeno | 18 | 5 | 5 | 8 | 27 | 29 | -2 | 20 row 8 : 8.0 | c.d. arcense | 18 | 2 | 11 | 5 | 23 | 32 | -11 | 17 row 9 : 9.0 | chalatenango | 18 | 4 | 5 | 9 | 13 | 22 | -9 | 17 row 10 : 10.0 | c.d. atletico balboa | 18 | 4 | 3 | 11 | 15 | 31 | -24 | 15
table_csv/203_67.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "what are the teams in the primera division de futbol profesional apertura 2003?", "what was c.d arcense points?", "which other team had 17 points?" ]
0
chalatenango
[ "Place", "Team", "Played", "Won", "Draw", "Lost", "Goals Scored", "Goals Conceded", "+/-", "Points" ]
which other team had 17 points?
[ [ "1.0", "C.D. FAS", "18", "10", "6", "2", "27", "13", "14", "36" ], [ "2.0", "C.D. Aguila", "18", "9", "4", "5", "38", "26", "12", "31" ], [ "3.0", "C.D. Luis Angel Firpo", "18", "7", "7", "4", "25", "18", "7", "28" ], [ "4.0", "San Salvador F.C.", "18", "8", "4", "6", "31", "27", "4", "28" ], [ "5.0", "Alianza F.C.", "18", "8", "4", "6", "26", "24", "2", "28" ], [ "6.0", "A.D. Isidro Metapan", "18", "4", "9", "5", "20", "23", "-3", "21" ], [ "7.0", "Municipal Limeno", "18", "5", "5", "8", "27", "29", "-2", "20" ], [ "8.0", "C.D. Arcense", "18", "2", "11", "5", "23", "32", "-11", "17" ], [ "9.0", "Chalatenango", "18", "4", "5", "9", "13", "22", "-9", "17" ], [ "10.0", "C.D. Atletico Balboa", "18", "4", "3", "11", "15", "31", "-24", "15" ] ]
[ "Chalatenango" ]
which other team had 17 points? || what was c.d arcense points? | what are the teams in the primera division de futbol profesional apertura 2003?
nt-2906
col : place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points row 1 : 1.0 | c.d. fas | 18 | 10 | 6 | 2 | 27 | 13 | 14 | 36 row 2 : 2.0 | c.d. aguila | 18 | 9 | 4 | 5 | 38 | 26 | 12 | 31 row 3 : 3.0 | c.d. luis angel firpo | 18 | 7 | 7 | 4 | 25 | 18 | 7 | 28 row 4 : 4.0 | san salvador f.c. | 18 | 8 | 4 | 6 | 31 | 27 | 4 | 28 row 5 : 5.0 | alianza f.c. | 18 | 8 | 4 | 6 | 26 | 24 | 2 | 28 row 6 : 6.0 | a.d. isidro metapan | 18 | 4 | 9 | 5 | 20 | 23 | -3 | 21 row 7 : 7.0 | municipal limeno | 18 | 5 | 5 | 8 | 27 | 29 | -2 | 20 row 8 : 8.0 | c.d. arcense | 18 | 2 | 11 | 5 | 23 | 32 | -11 | 17 row 9 : 9.0 | chalatenango | 18 | 4 | 5 | 9 | 13 | 22 | -9 | 17 row 10 : 10.0 | c.d. atletico balboa | 18 | 4 | 3 | 11 | 15 | 31 | -24 | 15
table_csv/203_67.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are the teams?" ]
1
c.d. fas, c.d. aguila, c.d. luis angel firpo, san salvador f.c., alianza f.c., a.d. isidro metapan, municipal limeno, c.d. arcense, chalatenango, c.d. atletico balboa
[ "Place", "Team", "Played", "Won", "Draw", "Lost", "Goals Scored", "Goals Conceded", "+/-", "Points" ]
what are the teams?
[ [ "1.0", "C.D. FAS", "18", "10", "6", "2", "27", "13", "14", "36" ], [ "2.0", "C.D. Aguila", "18", "9", "4", "5", "38", "26", "12", "31" ], [ "3.0", "C.D. Luis Angel Firpo", "18", "7", "7", "4", "25", "18", "7", "28" ], [ "4.0", "San Salvador F.C.", "18", "8", "4", "6", "31", "27", "4", "28" ], [ "5.0", "Alianza F.C.", "18", "8", "4", "6", "26", "24", "2", "28" ], [ "6.0", "A.D. Isidro Metapan", "18", "4", "9", "5", "20", "23", "-3", "21" ], [ "7.0", "Municipal Limeno", "18", "5", "5", "8", "27", "29", "-2", "20" ], [ "8.0", "C.D. Arcense", "18", "2", "11", "5", "23", "32", "-11", "17" ], [ "9.0", "Chalatenango", "18", "4", "5", "9", "13", "22", "-9", "17" ], [ "10.0", "C.D. Atletico Balboa", "18", "4", "3", "11", "15", "31", "-24", "15" ] ]
[ "C.D. FAS", "C.D. Aguila", "C.D. Luis Angel Firpo", "San Salvador F.C.", "Alianza F.C.", "A.D. Isidro Metapan", "Municipal Limeno", "C.D. Arcense", "Chalatenango", "C.D. Atletico Balboa" ]
what are the teams? ||
nt-2906
col : place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points row 1 : 1.0 | c.d. fas | 18 | 10 | 6 | 2 | 27 | 13 | 14 | 36 row 2 : 2.0 | c.d. aguila | 18 | 9 | 4 | 5 | 38 | 26 | 12 | 31 row 3 : 3.0 | c.d. luis angel firpo | 18 | 7 | 7 | 4 | 25 | 18 | 7 | 28 row 4 : 4.0 | san salvador f.c. | 18 | 8 | 4 | 6 | 31 | 27 | 4 | 28 row 5 : 5.0 | alianza f.c. | 18 | 8 | 4 | 6 | 26 | 24 | 2 | 28 row 6 : 6.0 | a.d. isidro metapan | 18 | 4 | 9 | 5 | 20 | 23 | -3 | 21 row 7 : 7.0 | municipal limeno | 18 | 5 | 5 | 8 | 27 | 29 | -2 | 20 row 8 : 8.0 | c.d. arcense | 18 | 2 | 11 | 5 | 23 | 32 | -11 | 17 row 9 : 9.0 | chalatenango | 18 | 4 | 5 | 9 | 13 | 22 | -9 | 17 row 10 : 10.0 | c.d. atletico balboa | 18 | 4 | 3 | 11 | 15 | 31 | -24 | 15
table_csv/203_67.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 7, 8 ] }
[ "what are the teams?", "which teams have 17 points?" ]
1
c.d. arcense, chalatenango
[ "Place", "Team", "Played", "Won", "Draw", "Lost", "Goals Scored", "Goals Conceded", "+/-", "Points" ]
which teams have 17 points?
[ [ "1.0", "C.D. FAS", "18", "10", "6", "2", "27", "13", "14", "36" ], [ "2.0", "C.D. Aguila", "18", "9", "4", "5", "38", "26", "12", "31" ], [ "3.0", "C.D. Luis Angel Firpo", "18", "7", "7", "4", "25", "18", "7", "28" ], [ "4.0", "San Salvador F.C.", "18", "8", "4", "6", "31", "27", "4", "28" ], [ "5.0", "Alianza F.C.", "18", "8", "4", "6", "26", "24", "2", "28" ], [ "6.0", "A.D. Isidro Metapan", "18", "4", "9", "5", "20", "23", "-3", "21" ], [ "7.0", "Municipal Limeno", "18", "5", "5", "8", "27", "29", "-2", "20" ], [ "8.0", "C.D. Arcense", "18", "2", "11", "5", "23", "32", "-11", "17" ], [ "9.0", "Chalatenango", "18", "4", "5", "9", "13", "22", "-9", "17" ], [ "10.0", "C.D. Atletico Balboa", "18", "4", "3", "11", "15", "31", "-24", "15" ] ]
[ "C.D. Arcense", "Chalatenango" ]
which teams have 17 points? || what are the teams?
nt-2906
col : place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points row 1 : 1.0 | c.d. fas | 18 | 10 | 6 | 2 | 27 | 13 | 14 | 36 row 2 : 2.0 | c.d. aguila | 18 | 9 | 4 | 5 | 38 | 26 | 12 | 31 row 3 : 3.0 | c.d. luis angel firpo | 18 | 7 | 7 | 4 | 25 | 18 | 7 | 28 row 4 : 4.0 | san salvador f.c. | 18 | 8 | 4 | 6 | 31 | 27 | 4 | 28 row 5 : 5.0 | alianza f.c. | 18 | 8 | 4 | 6 | 26 | 24 | 2 | 28 row 6 : 6.0 | a.d. isidro metapan | 18 | 4 | 9 | 5 | 20 | 23 | -3 | 21 row 7 : 7.0 | municipal limeno | 18 | 5 | 5 | 8 | 27 | 29 | -2 | 20 row 8 : 8.0 | c.d. arcense | 18 | 2 | 11 | 5 | 23 | 32 | -11 | 17 row 9 : 9.0 | chalatenango | 18 | 4 | 5 | 9 | 13 | 22 | -9 | 17 row 10 : 10.0 | c.d. atletico balboa | 18 | 4 | 3 | 11 | 15 | 31 | -24 | 15
table_csv/203_67.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "what are the teams?", "which teams have 17 points?", "what team other than c.d. arcense has 17 points?" ]
1
chalatenango
[ "Place", "Team", "Played", "Won", "Draw", "Lost", "Goals Scored", "Goals Conceded", "+/-", "Points" ]
what team other than c.d. arcense has 17 points?
[ [ "1.0", "C.D. FAS", "18", "10", "6", "2", "27", "13", "14", "36" ], [ "2.0", "C.D. Aguila", "18", "9", "4", "5", "38", "26", "12", "31" ], [ "3.0", "C.D. Luis Angel Firpo", "18", "7", "7", "4", "25", "18", "7", "28" ], [ "4.0", "San Salvador F.C.", "18", "8", "4", "6", "31", "27", "4", "28" ], [ "5.0", "Alianza F.C.", "18", "8", "4", "6", "26", "24", "2", "28" ], [ "6.0", "A.D. Isidro Metapan", "18", "4", "9", "5", "20", "23", "-3", "21" ], [ "7.0", "Municipal Limeno", "18", "5", "5", "8", "27", "29", "-2", "20" ], [ "8.0", "C.D. Arcense", "18", "2", "11", "5", "23", "32", "-11", "17" ], [ "9.0", "Chalatenango", "18", "4", "5", "9", "13", "22", "-9", "17" ], [ "10.0", "C.D. Atletico Balboa", "18", "4", "3", "11", "15", "31", "-24", "15" ] ]
[ "Chalatenango" ]
what team other than c.d. arcense has 17 points? || which teams have 17 points? | what are the teams?
nt-2906
col : place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points row 1 : 1.0 | c.d. fas | 18 | 10 | 6 | 2 | 27 | 13 | 14 | 36 row 2 : 2.0 | c.d. aguila | 18 | 9 | 4 | 5 | 38 | 26 | 12 | 31 row 3 : 3.0 | c.d. luis angel firpo | 18 | 7 | 7 | 4 | 25 | 18 | 7 | 28 row 4 : 4.0 | san salvador f.c. | 18 | 8 | 4 | 6 | 31 | 27 | 4 | 28 row 5 : 5.0 | alianza f.c. | 18 | 8 | 4 | 6 | 26 | 24 | 2 | 28 row 6 : 6.0 | a.d. isidro metapan | 18 | 4 | 9 | 5 | 20 | 23 | -3 | 21 row 7 : 7.0 | municipal limeno | 18 | 5 | 5 | 8 | 27 | 29 | -2 | 20 row 8 : 8.0 | c.d. arcense | 18 | 2 | 11 | 5 | 23 | 32 | -11 | 17 row 9 : 9.0 | chalatenango | 18 | 4 | 5 | 9 | 13 | 22 | -9 | 17 row 10 : 10.0 | c.d. atletico balboa | 18 | 4 | 3 | 11 | 15 | 31 | -24 | 15
table_csv/203_67.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are the names of all the teams?" ]
2
c.d. fas, c.d. aguila, c.d. luis angel firpo, san salvador f.c., alianza f.c., a.d. isidro metapan, municipal limeno, c.d. arcense, chalatenango, c.d. atletico balboa
[ "Place", "Team", "Played", "Won", "Draw", "Lost", "Goals Scored", "Goals Conceded", "+/-", "Points" ]
what are the names of all the teams?
[ [ "1.0", "C.D. FAS", "18", "10", "6", "2", "27", "13", "14", "36" ], [ "2.0", "C.D. Aguila", "18", "9", "4", "5", "38", "26", "12", "31" ], [ "3.0", "C.D. Luis Angel Firpo", "18", "7", "7", "4", "25", "18", "7", "28" ], [ "4.0", "San Salvador F.C.", "18", "8", "4", "6", "31", "27", "4", "28" ], [ "5.0", "Alianza F.C.", "18", "8", "4", "6", "26", "24", "2", "28" ], [ "6.0", "A.D. Isidro Metapan", "18", "4", "9", "5", "20", "23", "-3", "21" ], [ "7.0", "Municipal Limeno", "18", "5", "5", "8", "27", "29", "-2", "20" ], [ "8.0", "C.D. Arcense", "18", "2", "11", "5", "23", "32", "-11", "17" ], [ "9.0", "Chalatenango", "18", "4", "5", "9", "13", "22", "-9", "17" ], [ "10.0", "C.D. Atletico Balboa", "18", "4", "3", "11", "15", "31", "-24", "15" ] ]
[ "C.D. FAS", "C.D. Aguila", "C.D. Luis Angel Firpo", "San Salvador F.C.", "Alianza F.C.", "A.D. Isidro Metapan", "Municipal Limeno", "C.D. Arcense", "Chalatenango", "C.D. Atletico Balboa" ]
what are the names of all the teams? ||
nt-2906
col : place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points row 1 : 1.0 | c.d. fas | 18 | 10 | 6 | 2 | 27 | 13 | 14 | 36 row 2 : 2.0 | c.d. aguila | 18 | 9 | 4 | 5 | 38 | 26 | 12 | 31 row 3 : 3.0 | c.d. luis angel firpo | 18 | 7 | 7 | 4 | 25 | 18 | 7 | 28 row 4 : 4.0 | san salvador f.c. | 18 | 8 | 4 | 6 | 31 | 27 | 4 | 28 row 5 : 5.0 | alianza f.c. | 18 | 8 | 4 | 6 | 26 | 24 | 2 | 28 row 6 : 6.0 | a.d. isidro metapan | 18 | 4 | 9 | 5 | 20 | 23 | -3 | 21 row 7 : 7.0 | municipal limeno | 18 | 5 | 5 | 8 | 27 | 29 | -2 | 20 row 8 : 8.0 | c.d. arcense | 18 | 2 | 11 | 5 | 23 | 32 | -11 | 17 row 9 : 9.0 | chalatenango | 18 | 4 | 5 | 9 | 13 | 22 | -9 | 17 row 10 : 10.0 | c.d. atletico balboa | 18 | 4 | 3 | 11 | 15 | 31 | -24 | 15
table_csv/203_67.csv
1
{ "column_index": [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are the names of all the teams?", "how many points did they receive?" ]
2
36, 31, 28, 28, 28, 21, 20, 17, 17, 15
[ "Place", "Team", "Played", "Won", "Draw", "Lost", "Goals Scored", "Goals Conceded", "+/-", "Points" ]
how many points did they receive?
[ [ "1.0", "C.D. FAS", "18", "10", "6", "2", "27", "13", "14", "36" ], [ "2.0", "C.D. Aguila", "18", "9", "4", "5", "38", "26", "12", "31" ], [ "3.0", "C.D. Luis Angel Firpo", "18", "7", "7", "4", "25", "18", "7", "28" ], [ "4.0", "San Salvador F.C.", "18", "8", "4", "6", "31", "27", "4", "28" ], [ "5.0", "Alianza F.C.", "18", "8", "4", "6", "26", "24", "2", "28" ], [ "6.0", "A.D. Isidro Metapan", "18", "4", "9", "5", "20", "23", "-3", "21" ], [ "7.0", "Municipal Limeno", "18", "5", "5", "8", "27", "29", "-2", "20" ], [ "8.0", "C.D. Arcense", "18", "2", "11", "5", "23", "32", "-11", "17" ], [ "9.0", "Chalatenango", "18", "4", "5", "9", "13", "22", "-9", "17" ], [ "10.0", "C.D. Atletico Balboa", "18", "4", "3", "11", "15", "31", "-24", "15" ] ]
[ "36", "31", "28", "28", "28", "21", "20", "17", "17", "15" ]
how many points did they receive? || what are the names of all the teams?
nt-2906
col : place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points row 1 : 1.0 | c.d. fas | 18 | 10 | 6 | 2 | 27 | 13 | 14 | 36 row 2 : 2.0 | c.d. aguila | 18 | 9 | 4 | 5 | 38 | 26 | 12 | 31 row 3 : 3.0 | c.d. luis angel firpo | 18 | 7 | 7 | 4 | 25 | 18 | 7 | 28 row 4 : 4.0 | san salvador f.c. | 18 | 8 | 4 | 6 | 31 | 27 | 4 | 28 row 5 : 5.0 | alianza f.c. | 18 | 8 | 4 | 6 | 26 | 24 | 2 | 28 row 6 : 6.0 | a.d. isidro metapan | 18 | 4 | 9 | 5 | 20 | 23 | -3 | 21 row 7 : 7.0 | municipal limeno | 18 | 5 | 5 | 8 | 27 | 29 | -2 | 20 row 8 : 8.0 | c.d. arcense | 18 | 2 | 11 | 5 | 23 | 32 | -11 | 17 row 9 : 9.0 | chalatenango | 18 | 4 | 5 | 9 | 13 | 22 | -9 | 17 row 10 : 10.0 | c.d. atletico balboa | 18 | 4 | 3 | 11 | 15 | 31 | -24 | 15
table_csv/203_67.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "what are the names of all the teams?", "how many points did they receive?", "along with c.d. arcense, which team scored 17?" ]
2
chalatenango
[ "Place", "Team", "Played", "Won", "Draw", "Lost", "Goals Scored", "Goals Conceded", "+/-", "Points" ]
along with c.d. arcense, which team scored 17?
[ [ "1.0", "C.D. FAS", "18", "10", "6", "2", "27", "13", "14", "36" ], [ "2.0", "C.D. Aguila", "18", "9", "4", "5", "38", "26", "12", "31" ], [ "3.0", "C.D. Luis Angel Firpo", "18", "7", "7", "4", "25", "18", "7", "28" ], [ "4.0", "San Salvador F.C.", "18", "8", "4", "6", "31", "27", "4", "28" ], [ "5.0", "Alianza F.C.", "18", "8", "4", "6", "26", "24", "2", "28" ], [ "6.0", "A.D. Isidro Metapan", "18", "4", "9", "5", "20", "23", "-3", "21" ], [ "7.0", "Municipal Limeno", "18", "5", "5", "8", "27", "29", "-2", "20" ], [ "8.0", "C.D. Arcense", "18", "2", "11", "5", "23", "32", "-11", "17" ], [ "9.0", "Chalatenango", "18", "4", "5", "9", "13", "22", "-9", "17" ], [ "10.0", "C.D. Atletico Balboa", "18", "4", "3", "11", "15", "31", "-24", "15" ] ]
[ "Chalatenango" ]
along with c.d. arcense, which team scored 17? || how many points did they receive? | what are the names of all the teams?
nt-9264
col : res. | record | opponent | method | event | date | round | time | location | notes row 1 : loss | 7-1 | cristiane justino | tko (punches) | strikeforce: carano vs. cyborg | august 15, 2009 | 1 | 4:59 | san jose, california, united states | for the women's featherweight championship row 2 : win | 7-0 | kelly kobold | decision (unanimous) | elitexc: heat | october 4, 2008 | 3 | 3:00 | sunrise, florida, united states | nan row 3 : win | 6-0 | kaitlin young | tko (doctor stoppage) | elitexc: primetime | may 31, 2008 | 2 | 3:00 | newark, new jersey, united states | 144 lb catchweight row 4 : win | 5-0 | tonya evinger | submission (rear naked choke) | elitexc: uprising | september 15, 2007 | 1 | 2:53 | oahu, hawaii, united states | 141 lb row 5 : win | 4-0 | julie kedzie | decision (unanimous) | elitexc: destiny | february 10, 2007 | 3 | 3:00 | southaven, mississippi, united states | elitexc debut, 141 lb row 6 : win | 3-0 | elaina maxwell | decision (unanimous) | strikeforce: triple threat | december 8, 2006 | 3 | 2:00 | san jose, california, united states | strikeforce debut, 150 lb bout row 7 : win | 2-0 | rosi sexton | ko (punch) | world pro fighting championships 1 | september 15, 2006 | 2 | 4:55 | las vegas, nevada, united states | 138 lb catchweight row 8 : win | 1-0 | leiticia pestova | ko (punches and elbows) | world extreme fighting | june 10, 2006 | 1 | 0:38 | las vegas, nevada, united states | fought at 135 lbs
table_csv/204_386.csv
0
{ "column_index": [ 7, 7, 7, 7, 7, 7, 7, 7 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what were all of gina's times?" ]
0
4:59, 3:00, 3:00, 2:53, 3:00, 2:00, 4:55, 0:38
[ "Res.", "Record", "Opponent", "Method", "Event", "Date", "Round", "Time", "Location", "Notes" ]
what were all of gina's times?
[ [ "Loss", "7-1", "Cristiane Justino", "TKO (punches)", "Strikeforce: Carano vs. Cyborg", "August 15, 2009", "1", "4:59", "San Jose, California, United States", "For the Women's Featherweight Championship" ], [ "Win", "7-0", "Kelly Kobold", "Decision (unanimous)", "EliteXC: Heat", "October 4, 2008", "3", "3:00", "Sunrise, Florida, United States", "nan" ], [ "Win", "6-0", "Kaitlin Young", "TKO (doctor stoppage)", "EliteXC: Primetime", "May 31, 2008", "2", "3:00", "Newark, New Jersey, United States", "144 lb Catchweight" ], [ "Win", "5-0", "Tonya Evinger", "Submission (rear naked choke)", "EliteXC: Uprising", "September 15, 2007", "1", "2:53", "Oahu, Hawaii, United States", "141 lb" ], [ "Win", "4-0", "Julie Kedzie", "Decision (unanimous)", "EliteXC: Destiny", "February 10, 2007", "3", "3:00", "Southaven, Mississippi, United States", "EliteXC Debut, 141 lb" ], [ "Win", "3-0", "Elaina Maxwell", "Decision (unanimous)", "Strikeforce: Triple Threat", "December 8, 2006", "3", "2:00", "San Jose, California, United States", "Strikeforce Debut, 150 lb bout" ], [ "Win", "2-0", "Rosi Sexton", "KO (punch)", "World Pro Fighting Championships 1", "September 15, 2006", "2", "4:55", "Las Vegas, Nevada, United States", "138 lb Catchweight" ], [ "Win", "1-0", "Leiticia Pestova", "KO (punches and elbows)", "World Extreme Fighting", "June 10, 2006", "1", "0:38", "Las Vegas, Nevada, United States", "Fought at 135 lbs" ] ]
[ "4:59", "3:00", "3:00", "2:53", "3:00", "2:00", "4:55", "0:38" ]
what were all of gina's times? ||
nt-9264
col : res. | record | opponent | method | event | date | round | time | location | notes row 1 : loss | 7-1 | cristiane justino | tko (punches) | strikeforce: carano vs. cyborg | august 15, 2009 | 1 | 4:59 | san jose, california, united states | for the women's featherweight championship row 2 : win | 7-0 | kelly kobold | decision (unanimous) | elitexc: heat | october 4, 2008 | 3 | 3:00 | sunrise, florida, united states | nan row 3 : win | 6-0 | kaitlin young | tko (doctor stoppage) | elitexc: primetime | may 31, 2008 | 2 | 3:00 | newark, new jersey, united states | 144 lb catchweight row 4 : win | 5-0 | tonya evinger | submission (rear naked choke) | elitexc: uprising | september 15, 2007 | 1 | 2:53 | oahu, hawaii, united states | 141 lb row 5 : win | 4-0 | julie kedzie | decision (unanimous) | elitexc: destiny | february 10, 2007 | 3 | 3:00 | southaven, mississippi, united states | elitexc debut, 141 lb row 6 : win | 3-0 | elaina maxwell | decision (unanimous) | strikeforce: triple threat | december 8, 2006 | 3 | 2:00 | san jose, california, united states | strikeforce debut, 150 lb bout row 7 : win | 2-0 | rosi sexton | ko (punch) | world pro fighting championships 1 | september 15, 2006 | 2 | 4:55 | las vegas, nevada, united states | 138 lb catchweight row 8 : win | 1-0 | leiticia pestova | ko (punches and elbows) | world extreme fighting | june 10, 2006 | 1 | 0:38 | las vegas, nevada, united states | fought at 135 lbs
table_csv/204_386.csv
1
{ "column_index": [ 7 ], "row_index": [ 7 ] }
[ "what were all of gina's times?", "and which time was the shortest?" ]
0
0:38
[ "Res.", "Record", "Opponent", "Method", "Event", "Date", "Round", "Time", "Location", "Notes" ]
and which time was the shortest?
[ [ "Loss", "7-1", "Cristiane Justino", "TKO (punches)", "Strikeforce: Carano vs. Cyborg", "August 15, 2009", "1", "4:59", "San Jose, California, United States", "For the Women's Featherweight Championship" ], [ "Win", "7-0", "Kelly Kobold", "Decision (unanimous)", "EliteXC: Heat", "October 4, 2008", "3", "3:00", "Sunrise, Florida, United States", "nan" ], [ "Win", "6-0", "Kaitlin Young", "TKO (doctor stoppage)", "EliteXC: Primetime", "May 31, 2008", "2", "3:00", "Newark, New Jersey, United States", "144 lb Catchweight" ], [ "Win", "5-0", "Tonya Evinger", "Submission (rear naked choke)", "EliteXC: Uprising", "September 15, 2007", "1", "2:53", "Oahu, Hawaii, United States", "141 lb" ], [ "Win", "4-0", "Julie Kedzie", "Decision (unanimous)", "EliteXC: Destiny", "February 10, 2007", "3", "3:00", "Southaven, Mississippi, United States", "EliteXC Debut, 141 lb" ], [ "Win", "3-0", "Elaina Maxwell", "Decision (unanimous)", "Strikeforce: Triple Threat", "December 8, 2006", "3", "2:00", "San Jose, California, United States", "Strikeforce Debut, 150 lb bout" ], [ "Win", "2-0", "Rosi Sexton", "KO (punch)", "World Pro Fighting Championships 1", "September 15, 2006", "2", "4:55", "Las Vegas, Nevada, United States", "138 lb Catchweight" ], [ "Win", "1-0", "Leiticia Pestova", "KO (punches and elbows)", "World Extreme Fighting", "June 10, 2006", "1", "0:38", "Las Vegas, Nevada, United States", "Fought at 135 lbs" ] ]
[ "0:38" ]
and which time was the shortest? || what were all of gina's times?
nt-9264
col : res. | record | opponent | method | event | date | round | time | location | notes row 1 : loss | 7-1 | cristiane justino | tko (punches) | strikeforce: carano vs. cyborg | august 15, 2009 | 1 | 4:59 | san jose, california, united states | for the women's featherweight championship row 2 : win | 7-0 | kelly kobold | decision (unanimous) | elitexc: heat | october 4, 2008 | 3 | 3:00 | sunrise, florida, united states | nan row 3 : win | 6-0 | kaitlin young | tko (doctor stoppage) | elitexc: primetime | may 31, 2008 | 2 | 3:00 | newark, new jersey, united states | 144 lb catchweight row 4 : win | 5-0 | tonya evinger | submission (rear naked choke) | elitexc: uprising | september 15, 2007 | 1 | 2:53 | oahu, hawaii, united states | 141 lb row 5 : win | 4-0 | julie kedzie | decision (unanimous) | elitexc: destiny | february 10, 2007 | 3 | 3:00 | southaven, mississippi, united states | elitexc debut, 141 lb row 6 : win | 3-0 | elaina maxwell | decision (unanimous) | strikeforce: triple threat | december 8, 2006 | 3 | 2:00 | san jose, california, united states | strikeforce debut, 150 lb bout row 7 : win | 2-0 | rosi sexton | ko (punch) | world pro fighting championships 1 | september 15, 2006 | 2 | 4:55 | las vegas, nevada, united states | 138 lb catchweight row 8 : win | 1-0 | leiticia pestova | ko (punches and elbows) | world extreme fighting | june 10, 2006 | 1 | 0:38 | las vegas, nevada, united states | fought at 135 lbs
table_csv/204_386.csv
0
{ "column_index": [ 4, 4, 4, 4 ], "row_index": [ 0, 5, 6, 7 ] }
[ "which of the events were not fought for elitexc?" ]
1
strikeforce: carano vs. cyborg, strikeforce: triple threat, world pro fighting championships 1, world extreme fighting
[ "Res.", "Record", "Opponent", "Method", "Event", "Date", "Round", "Time", "Location", "Notes" ]
which of the events were not fought for elitexc?
[ [ "Loss", "7-1", "Cristiane Justino", "TKO (punches)", "Strikeforce: Carano vs. Cyborg", "August 15, 2009", "1", "4:59", "San Jose, California, United States", "For the Women's Featherweight Championship" ], [ "Win", "7-0", "Kelly Kobold", "Decision (unanimous)", "EliteXC: Heat", "October 4, 2008", "3", "3:00", "Sunrise, Florida, United States", "nan" ], [ "Win", "6-0", "Kaitlin Young", "TKO (doctor stoppage)", "EliteXC: Primetime", "May 31, 2008", "2", "3:00", "Newark, New Jersey, United States", "144 lb Catchweight" ], [ "Win", "5-0", "Tonya Evinger", "Submission (rear naked choke)", "EliteXC: Uprising", "September 15, 2007", "1", "2:53", "Oahu, Hawaii, United States", "141 lb" ], [ "Win", "4-0", "Julie Kedzie", "Decision (unanimous)", "EliteXC: Destiny", "February 10, 2007", "3", "3:00", "Southaven, Mississippi, United States", "EliteXC Debut, 141 lb" ], [ "Win", "3-0", "Elaina Maxwell", "Decision (unanimous)", "Strikeforce: Triple Threat", "December 8, 2006", "3", "2:00", "San Jose, California, United States", "Strikeforce Debut, 150 lb bout" ], [ "Win", "2-0", "Rosi Sexton", "KO (punch)", "World Pro Fighting Championships 1", "September 15, 2006", "2", "4:55", "Las Vegas, Nevada, United States", "138 lb Catchweight" ], [ "Win", "1-0", "Leiticia Pestova", "KO (punches and elbows)", "World Extreme Fighting", "June 10, 2006", "1", "0:38", "Las Vegas, Nevada, United States", "Fought at 135 lbs" ] ]
[ "Strikeforce: Carano vs. Cyborg", "Strikeforce: Triple Threat", "World Pro Fighting Championships 1", "World Extreme Fighting" ]
which of the events were not fought for elitexc? ||
nt-9264
col : res. | record | opponent | method | event | date | round | time | location | notes row 1 : loss | 7-1 | cristiane justino | tko (punches) | strikeforce: carano vs. cyborg | august 15, 2009 | 1 | 4:59 | san jose, california, united states | for the women's featherweight championship row 2 : win | 7-0 | kelly kobold | decision (unanimous) | elitexc: heat | october 4, 2008 | 3 | 3:00 | sunrise, florida, united states | nan row 3 : win | 6-0 | kaitlin young | tko (doctor stoppage) | elitexc: primetime | may 31, 2008 | 2 | 3:00 | newark, new jersey, united states | 144 lb catchweight row 4 : win | 5-0 | tonya evinger | submission (rear naked choke) | elitexc: uprising | september 15, 2007 | 1 | 2:53 | oahu, hawaii, united states | 141 lb row 5 : win | 4-0 | julie kedzie | decision (unanimous) | elitexc: destiny | february 10, 2007 | 3 | 3:00 | southaven, mississippi, united states | elitexc debut, 141 lb row 6 : win | 3-0 | elaina maxwell | decision (unanimous) | strikeforce: triple threat | december 8, 2006 | 3 | 2:00 | san jose, california, united states | strikeforce debut, 150 lb bout row 7 : win | 2-0 | rosi sexton | ko (punch) | world pro fighting championships 1 | september 15, 2006 | 2 | 4:55 | las vegas, nevada, united states | 138 lb catchweight row 8 : win | 1-0 | leiticia pestova | ko (punches and elbows) | world extreme fighting | june 10, 2006 | 1 | 0:38 | las vegas, nevada, united states | fought at 135 lbs
table_csv/204_386.csv
1
{ "column_index": [ 4, 4, 4 ], "row_index": [ 5, 6, 7 ] }
[ "which of the events were not fought for elitexc?", "of these, which took place during 2006?" ]
1
strikeforce: triple threat, world pro fighting championships 1, world extreme fighting
[ "Res.", "Record", "Opponent", "Method", "Event", "Date", "Round", "Time", "Location", "Notes" ]
of these, which took place during 2006?
[ [ "Loss", "7-1", "Cristiane Justino", "TKO (punches)", "Strikeforce: Carano vs. Cyborg", "August 15, 2009", "1", "4:59", "San Jose, California, United States", "For the Women's Featherweight Championship" ], [ "Win", "7-0", "Kelly Kobold", "Decision (unanimous)", "EliteXC: Heat", "October 4, 2008", "3", "3:00", "Sunrise, Florida, United States", "nan" ], [ "Win", "6-0", "Kaitlin Young", "TKO (doctor stoppage)", "EliteXC: Primetime", "May 31, 2008", "2", "3:00", "Newark, New Jersey, United States", "144 lb Catchweight" ], [ "Win", "5-0", "Tonya Evinger", "Submission (rear naked choke)", "EliteXC: Uprising", "September 15, 2007", "1", "2:53", "Oahu, Hawaii, United States", "141 lb" ], [ "Win", "4-0", "Julie Kedzie", "Decision (unanimous)", "EliteXC: Destiny", "February 10, 2007", "3", "3:00", "Southaven, Mississippi, United States", "EliteXC Debut, 141 lb" ], [ "Win", "3-0", "Elaina Maxwell", "Decision (unanimous)", "Strikeforce: Triple Threat", "December 8, 2006", "3", "2:00", "San Jose, California, United States", "Strikeforce Debut, 150 lb bout" ], [ "Win", "2-0", "Rosi Sexton", "KO (punch)", "World Pro Fighting Championships 1", "September 15, 2006", "2", "4:55", "Las Vegas, Nevada, United States", "138 lb Catchweight" ], [ "Win", "1-0", "Leiticia Pestova", "KO (punches and elbows)", "World Extreme Fighting", "June 10, 2006", "1", "0:38", "Las Vegas, Nevada, United States", "Fought at 135 lbs" ] ]
[ "Strikeforce: Triple Threat", "World Pro Fighting Championships 1", "World Extreme Fighting" ]
of these, which took place during 2006? || which of the events were not fought for elitexc?
nt-9264
col : res. | record | opponent | method | event | date | round | time | location | notes row 1 : loss | 7-1 | cristiane justino | tko (punches) | strikeforce: carano vs. cyborg | august 15, 2009 | 1 | 4:59 | san jose, california, united states | for the women's featherweight championship row 2 : win | 7-0 | kelly kobold | decision (unanimous) | elitexc: heat | october 4, 2008 | 3 | 3:00 | sunrise, florida, united states | nan row 3 : win | 6-0 | kaitlin young | tko (doctor stoppage) | elitexc: primetime | may 31, 2008 | 2 | 3:00 | newark, new jersey, united states | 144 lb catchweight row 4 : win | 5-0 | tonya evinger | submission (rear naked choke) | elitexc: uprising | september 15, 2007 | 1 | 2:53 | oahu, hawaii, united states | 141 lb row 5 : win | 4-0 | julie kedzie | decision (unanimous) | elitexc: destiny | february 10, 2007 | 3 | 3:00 | southaven, mississippi, united states | elitexc debut, 141 lb row 6 : win | 3-0 | elaina maxwell | decision (unanimous) | strikeforce: triple threat | december 8, 2006 | 3 | 2:00 | san jose, california, united states | strikeforce debut, 150 lb bout row 7 : win | 2-0 | rosi sexton | ko (punch) | world pro fighting championships 1 | september 15, 2006 | 2 | 4:55 | las vegas, nevada, united states | 138 lb catchweight row 8 : win | 1-0 | leiticia pestova | ko (punches and elbows) | world extreme fighting | june 10, 2006 | 1 | 0:38 | las vegas, nevada, united states | fought at 135 lbs
table_csv/204_386.csv
2
{ "column_index": [ 4, 4 ], "row_index": [ 6, 7 ] }
[ "which of the events were not fought for elitexc?", "of these, which took place during 2006?", "from these, which ones have a note indicating that she weighed less than 140 lbs?" ]
1
world pro fighting championships 1, world extreme fighting
[ "Res.", "Record", "Opponent", "Method", "Event", "Date", "Round", "Time", "Location", "Notes" ]
from these, which ones have a note indicating that she weighed less than 140 lbs?
[ [ "Loss", "7-1", "Cristiane Justino", "TKO (punches)", "Strikeforce: Carano vs. Cyborg", "August 15, 2009", "1", "4:59", "San Jose, California, United States", "For the Women's Featherweight Championship" ], [ "Win", "7-0", "Kelly Kobold", "Decision (unanimous)", "EliteXC: Heat", "October 4, 2008", "3", "3:00", "Sunrise, Florida, United States", "nan" ], [ "Win", "6-0", "Kaitlin Young", "TKO (doctor stoppage)", "EliteXC: Primetime", "May 31, 2008", "2", "3:00", "Newark, New Jersey, United States", "144 lb Catchweight" ], [ "Win", "5-0", "Tonya Evinger", "Submission (rear naked choke)", "EliteXC: Uprising", "September 15, 2007", "1", "2:53", "Oahu, Hawaii, United States", "141 lb" ], [ "Win", "4-0", "Julie Kedzie", "Decision (unanimous)", "EliteXC: Destiny", "February 10, 2007", "3", "3:00", "Southaven, Mississippi, United States", "EliteXC Debut, 141 lb" ], [ "Win", "3-0", "Elaina Maxwell", "Decision (unanimous)", "Strikeforce: Triple Threat", "December 8, 2006", "3", "2:00", "San Jose, California, United States", "Strikeforce Debut, 150 lb bout" ], [ "Win", "2-0", "Rosi Sexton", "KO (punch)", "World Pro Fighting Championships 1", "September 15, 2006", "2", "4:55", "Las Vegas, Nevada, United States", "138 lb Catchweight" ], [ "Win", "1-0", "Leiticia Pestova", "KO (punches and elbows)", "World Extreme Fighting", "June 10, 2006", "1", "0:38", "Las Vegas, Nevada, United States", "Fought at 135 lbs" ] ]
[ "World Pro Fighting Championships 1", "World Extreme Fighting" ]
from these, which ones have a note indicating that she weighed less than 140 lbs? || of these, which took place during 2006? | which of the events were not fought for elitexc?
nt-9264
col : res. | record | opponent | method | event | date | round | time | location | notes row 1 : loss | 7-1 | cristiane justino | tko (punches) | strikeforce: carano vs. cyborg | august 15, 2009 | 1 | 4:59 | san jose, california, united states | for the women's featherweight championship row 2 : win | 7-0 | kelly kobold | decision (unanimous) | elitexc: heat | october 4, 2008 | 3 | 3:00 | sunrise, florida, united states | nan row 3 : win | 6-0 | kaitlin young | tko (doctor stoppage) | elitexc: primetime | may 31, 2008 | 2 | 3:00 | newark, new jersey, united states | 144 lb catchweight row 4 : win | 5-0 | tonya evinger | submission (rear naked choke) | elitexc: uprising | september 15, 2007 | 1 | 2:53 | oahu, hawaii, united states | 141 lb row 5 : win | 4-0 | julie kedzie | decision (unanimous) | elitexc: destiny | february 10, 2007 | 3 | 3:00 | southaven, mississippi, united states | elitexc debut, 141 lb row 6 : win | 3-0 | elaina maxwell | decision (unanimous) | strikeforce: triple threat | december 8, 2006 | 3 | 2:00 | san jose, california, united states | strikeforce debut, 150 lb bout row 7 : win | 2-0 | rosi sexton | ko (punch) | world pro fighting championships 1 | september 15, 2006 | 2 | 4:55 | las vegas, nevada, united states | 138 lb catchweight row 8 : win | 1-0 | leiticia pestova | ko (punches and elbows) | world extreme fighting | june 10, 2006 | 1 | 0:38 | las vegas, nevada, united states | fought at 135 lbs
table_csv/204_386.csv
3
{ "column_index": [ 4 ], "row_index": [ 7 ] }
[ "which of the events were not fought for elitexc?", "of these, which took place during 2006?", "from these, which ones have a note indicating that she weighed less than 140 lbs?", "which of these had the shortest time?" ]
1
world extreme fighting
[ "Res.", "Record", "Opponent", "Method", "Event", "Date", "Round", "Time", "Location", "Notes" ]
which of these had the shortest time?
[ [ "Loss", "7-1", "Cristiane Justino", "TKO (punches)", "Strikeforce: Carano vs. Cyborg", "August 15, 2009", "1", "4:59", "San Jose, California, United States", "For the Women's Featherweight Championship" ], [ "Win", "7-0", "Kelly Kobold", "Decision (unanimous)", "EliteXC: Heat", "October 4, 2008", "3", "3:00", "Sunrise, Florida, United States", "nan" ], [ "Win", "6-0", "Kaitlin Young", "TKO (doctor stoppage)", "EliteXC: Primetime", "May 31, 2008", "2", "3:00", "Newark, New Jersey, United States", "144 lb Catchweight" ], [ "Win", "5-0", "Tonya Evinger", "Submission (rear naked choke)", "EliteXC: Uprising", "September 15, 2007", "1", "2:53", "Oahu, Hawaii, United States", "141 lb" ], [ "Win", "4-0", "Julie Kedzie", "Decision (unanimous)", "EliteXC: Destiny", "February 10, 2007", "3", "3:00", "Southaven, Mississippi, United States", "EliteXC Debut, 141 lb" ], [ "Win", "3-0", "Elaina Maxwell", "Decision (unanimous)", "Strikeforce: Triple Threat", "December 8, 2006", "3", "2:00", "San Jose, California, United States", "Strikeforce Debut, 150 lb bout" ], [ "Win", "2-0", "Rosi Sexton", "KO (punch)", "World Pro Fighting Championships 1", "September 15, 2006", "2", "4:55", "Las Vegas, Nevada, United States", "138 lb Catchweight" ], [ "Win", "1-0", "Leiticia Pestova", "KO (punches and elbows)", "World Extreme Fighting", "June 10, 2006", "1", "0:38", "Las Vegas, Nevada, United States", "Fought at 135 lbs" ] ]
[ "World Extreme Fighting" ]
which of these had the shortest time? || from these, which ones have a note indicating that she weighed less than 140 lbs? | of these, which took place during 2006? | which of the events were not fought for elitexc?
nt-9264
col : res. | record | opponent | method | event | date | round | time | location | notes row 1 : loss | 7-1 | cristiane justino | tko (punches) | strikeforce: carano vs. cyborg | august 15, 2009 | 1 | 4:59 | san jose, california, united states | for the women's featherweight championship row 2 : win | 7-0 | kelly kobold | decision (unanimous) | elitexc: heat | october 4, 2008 | 3 | 3:00 | sunrise, florida, united states | nan row 3 : win | 6-0 | kaitlin young | tko (doctor stoppage) | elitexc: primetime | may 31, 2008 | 2 | 3:00 | newark, new jersey, united states | 144 lb catchweight row 4 : win | 5-0 | tonya evinger | submission (rear naked choke) | elitexc: uprising | september 15, 2007 | 1 | 2:53 | oahu, hawaii, united states | 141 lb row 5 : win | 4-0 | julie kedzie | decision (unanimous) | elitexc: destiny | february 10, 2007 | 3 | 3:00 | southaven, mississippi, united states | elitexc debut, 141 lb row 6 : win | 3-0 | elaina maxwell | decision (unanimous) | strikeforce: triple threat | december 8, 2006 | 3 | 2:00 | san jose, california, united states | strikeforce debut, 150 lb bout row 7 : win | 2-0 | rosi sexton | ko (punch) | world pro fighting championships 1 | september 15, 2006 | 2 | 4:55 | las vegas, nevada, united states | 138 lb catchweight row 8 : win | 1-0 | leiticia pestova | ko (punches and elbows) | world extreme fighting | june 10, 2006 | 1 | 0:38 | las vegas, nevada, united states | fought at 135 lbs
table_csv/204_386.csv
4
{ "column_index": [ 7 ], "row_index": [ 7 ] }
[ "which of the events were not fought for elitexc?", "of these, which took place during 2006?", "from these, which ones have a note indicating that she weighed less than 140 lbs?", "which of these had the shortest time?", "what was the time of that match?" ]
1
0:38
[ "Res.", "Record", "Opponent", "Method", "Event", "Date", "Round", "Time", "Location", "Notes" ]
what was the time of that match?
[ [ "Loss", "7-1", "Cristiane Justino", "TKO (punches)", "Strikeforce: Carano vs. Cyborg", "August 15, 2009", "1", "4:59", "San Jose, California, United States", "For the Women's Featherweight Championship" ], [ "Win", "7-0", "Kelly Kobold", "Decision (unanimous)", "EliteXC: Heat", "October 4, 2008", "3", "3:00", "Sunrise, Florida, United States", "nan" ], [ "Win", "6-0", "Kaitlin Young", "TKO (doctor stoppage)", "EliteXC: Primetime", "May 31, 2008", "2", "3:00", "Newark, New Jersey, United States", "144 lb Catchweight" ], [ "Win", "5-0", "Tonya Evinger", "Submission (rear naked choke)", "EliteXC: Uprising", "September 15, 2007", "1", "2:53", "Oahu, Hawaii, United States", "141 lb" ], [ "Win", "4-0", "Julie Kedzie", "Decision (unanimous)", "EliteXC: Destiny", "February 10, 2007", "3", "3:00", "Southaven, Mississippi, United States", "EliteXC Debut, 141 lb" ], [ "Win", "3-0", "Elaina Maxwell", "Decision (unanimous)", "Strikeforce: Triple Threat", "December 8, 2006", "3", "2:00", "San Jose, California, United States", "Strikeforce Debut, 150 lb bout" ], [ "Win", "2-0", "Rosi Sexton", "KO (punch)", "World Pro Fighting Championships 1", "September 15, 2006", "2", "4:55", "Las Vegas, Nevada, United States", "138 lb Catchweight" ], [ "Win", "1-0", "Leiticia Pestova", "KO (punches and elbows)", "World Extreme Fighting", "June 10, 2006", "1", "0:38", "Las Vegas, Nevada, United States", "Fought at 135 lbs" ] ]
[ "0:38" ]
what was the time of that match? || which of these had the shortest time? | from these, which ones have a note indicating that she weighed less than 140 lbs? | of these, which took place during 2006? | which of the events were not fought for elitexc?
nt-9264
col : res. | record | opponent | method | event | date | round | time | location | notes row 1 : loss | 7-1 | cristiane justino | tko (punches) | strikeforce: carano vs. cyborg | august 15, 2009 | 1 | 4:59 | san jose, california, united states | for the women's featherweight championship row 2 : win | 7-0 | kelly kobold | decision (unanimous) | elitexc: heat | october 4, 2008 | 3 | 3:00 | sunrise, florida, united states | nan row 3 : win | 6-0 | kaitlin young | tko (doctor stoppage) | elitexc: primetime | may 31, 2008 | 2 | 3:00 | newark, new jersey, united states | 144 lb catchweight row 4 : win | 5-0 | tonya evinger | submission (rear naked choke) | elitexc: uprising | september 15, 2007 | 1 | 2:53 | oahu, hawaii, united states | 141 lb row 5 : win | 4-0 | julie kedzie | decision (unanimous) | elitexc: destiny | february 10, 2007 | 3 | 3:00 | southaven, mississippi, united states | elitexc debut, 141 lb row 6 : win | 3-0 | elaina maxwell | decision (unanimous) | strikeforce: triple threat | december 8, 2006 | 3 | 2:00 | san jose, california, united states | strikeforce debut, 150 lb bout row 7 : win | 2-0 | rosi sexton | ko (punch) | world pro fighting championships 1 | september 15, 2006 | 2 | 4:55 | las vegas, nevada, united states | 138 lb catchweight row 8 : win | 1-0 | leiticia pestova | ko (punches and elbows) | world extreme fighting | june 10, 2006 | 1 | 0:38 | las vegas, nevada, united states | fought at 135 lbs
table_csv/204_386.csv
0
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all the events that gina carano attended?" ]
2
strikeforce: carano vs. cyborg, elitexc: heat, elitexc: primetime, elitexc: uprising, elitexc: destiny, strikeforce: triple threat, world pro fighting championships 1, world extreme fighting
[ "Res.", "Record", "Opponent", "Method", "Event", "Date", "Round", "Time", "Location", "Notes" ]
what are all the events that gina carano attended?
[ [ "Loss", "7-1", "Cristiane Justino", "TKO (punches)", "Strikeforce: Carano vs. Cyborg", "August 15, 2009", "1", "4:59", "San Jose, California, United States", "For the Women's Featherweight Championship" ], [ "Win", "7-0", "Kelly Kobold", "Decision (unanimous)", "EliteXC: Heat", "October 4, 2008", "3", "3:00", "Sunrise, Florida, United States", "nan" ], [ "Win", "6-0", "Kaitlin Young", "TKO (doctor stoppage)", "EliteXC: Primetime", "May 31, 2008", "2", "3:00", "Newark, New Jersey, United States", "144 lb Catchweight" ], [ "Win", "5-0", "Tonya Evinger", "Submission (rear naked choke)", "EliteXC: Uprising", "September 15, 2007", "1", "2:53", "Oahu, Hawaii, United States", "141 lb" ], [ "Win", "4-0", "Julie Kedzie", "Decision (unanimous)", "EliteXC: Destiny", "February 10, 2007", "3", "3:00", "Southaven, Mississippi, United States", "EliteXC Debut, 141 lb" ], [ "Win", "3-0", "Elaina Maxwell", "Decision (unanimous)", "Strikeforce: Triple Threat", "December 8, 2006", "3", "2:00", "San Jose, California, United States", "Strikeforce Debut, 150 lb bout" ], [ "Win", "2-0", "Rosi Sexton", "KO (punch)", "World Pro Fighting Championships 1", "September 15, 2006", "2", "4:55", "Las Vegas, Nevada, United States", "138 lb Catchweight" ], [ "Win", "1-0", "Leiticia Pestova", "KO (punches and elbows)", "World Extreme Fighting", "June 10, 2006", "1", "0:38", "Las Vegas, Nevada, United States", "Fought at 135 lbs" ] ]
[ "Strikeforce: Carano vs. Cyborg", "EliteXC: Heat", "EliteXC: Primetime", "EliteXC: Uprising", "EliteXC: Destiny", "Strikeforce: Triple Threat", "World Pro Fighting Championships 1", "World Extreme Fighting" ]
what are all the events that gina carano attended? ||
nt-9264
col : res. | record | opponent | method | event | date | round | time | location | notes row 1 : loss | 7-1 | cristiane justino | tko (punches) | strikeforce: carano vs. cyborg | august 15, 2009 | 1 | 4:59 | san jose, california, united states | for the women's featherweight championship row 2 : win | 7-0 | kelly kobold | decision (unanimous) | elitexc: heat | october 4, 2008 | 3 | 3:00 | sunrise, florida, united states | nan row 3 : win | 6-0 | kaitlin young | tko (doctor stoppage) | elitexc: primetime | may 31, 2008 | 2 | 3:00 | newark, new jersey, united states | 144 lb catchweight row 4 : win | 5-0 | tonya evinger | submission (rear naked choke) | elitexc: uprising | september 15, 2007 | 1 | 2:53 | oahu, hawaii, united states | 141 lb row 5 : win | 4-0 | julie kedzie | decision (unanimous) | elitexc: destiny | february 10, 2007 | 3 | 3:00 | southaven, mississippi, united states | elitexc debut, 141 lb row 6 : win | 3-0 | elaina maxwell | decision (unanimous) | strikeforce: triple threat | december 8, 2006 | 3 | 2:00 | san jose, california, united states | strikeforce debut, 150 lb bout row 7 : win | 2-0 | rosi sexton | ko (punch) | world pro fighting championships 1 | september 15, 2006 | 2 | 4:55 | las vegas, nevada, united states | 138 lb catchweight row 8 : win | 1-0 | leiticia pestova | ko (punches and elbows) | world extreme fighting | june 10, 2006 | 1 | 0:38 | las vegas, nevada, united states | fought at 135 lbs
table_csv/204_386.csv
1
{ "column_index": [ 4 ], "row_index": [ 7 ] }
[ "what are all the events that gina carano attended?", "which of these events have the lowest time?" ]
2
world extreme fighting
[ "Res.", "Record", "Opponent", "Method", "Event", "Date", "Round", "Time", "Location", "Notes" ]
which of these events have the lowest time?
[ [ "Loss", "7-1", "Cristiane Justino", "TKO (punches)", "Strikeforce: Carano vs. Cyborg", "August 15, 2009", "1", "4:59", "San Jose, California, United States", "For the Women's Featherweight Championship" ], [ "Win", "7-0", "Kelly Kobold", "Decision (unanimous)", "EliteXC: Heat", "October 4, 2008", "3", "3:00", "Sunrise, Florida, United States", "nan" ], [ "Win", "6-0", "Kaitlin Young", "TKO (doctor stoppage)", "EliteXC: Primetime", "May 31, 2008", "2", "3:00", "Newark, New Jersey, United States", "144 lb Catchweight" ], [ "Win", "5-0", "Tonya Evinger", "Submission (rear naked choke)", "EliteXC: Uprising", "September 15, 2007", "1", "2:53", "Oahu, Hawaii, United States", "141 lb" ], [ "Win", "4-0", "Julie Kedzie", "Decision (unanimous)", "EliteXC: Destiny", "February 10, 2007", "3", "3:00", "Southaven, Mississippi, United States", "EliteXC Debut, 141 lb" ], [ "Win", "3-0", "Elaina Maxwell", "Decision (unanimous)", "Strikeforce: Triple Threat", "December 8, 2006", "3", "2:00", "San Jose, California, United States", "Strikeforce Debut, 150 lb bout" ], [ "Win", "2-0", "Rosi Sexton", "KO (punch)", "World Pro Fighting Championships 1", "September 15, 2006", "2", "4:55", "Las Vegas, Nevada, United States", "138 lb Catchweight" ], [ "Win", "1-0", "Leiticia Pestova", "KO (punches and elbows)", "World Extreme Fighting", "June 10, 2006", "1", "0:38", "Las Vegas, Nevada, United States", "Fought at 135 lbs" ] ]
[ "World Extreme Fighting" ]
which of these events have the lowest time? || what are all the events that gina carano attended?
nt-9264
col : res. | record | opponent | method | event | date | round | time | location | notes row 1 : loss | 7-1 | cristiane justino | tko (punches) | strikeforce: carano vs. cyborg | august 15, 2009 | 1 | 4:59 | san jose, california, united states | for the women's featherweight championship row 2 : win | 7-0 | kelly kobold | decision (unanimous) | elitexc: heat | october 4, 2008 | 3 | 3:00 | sunrise, florida, united states | nan row 3 : win | 6-0 | kaitlin young | tko (doctor stoppage) | elitexc: primetime | may 31, 2008 | 2 | 3:00 | newark, new jersey, united states | 144 lb catchweight row 4 : win | 5-0 | tonya evinger | submission (rear naked choke) | elitexc: uprising | september 15, 2007 | 1 | 2:53 | oahu, hawaii, united states | 141 lb row 5 : win | 4-0 | julie kedzie | decision (unanimous) | elitexc: destiny | february 10, 2007 | 3 | 3:00 | southaven, mississippi, united states | elitexc debut, 141 lb row 6 : win | 3-0 | elaina maxwell | decision (unanimous) | strikeforce: triple threat | december 8, 2006 | 3 | 2:00 | san jose, california, united states | strikeforce debut, 150 lb bout row 7 : win | 2-0 | rosi sexton | ko (punch) | world pro fighting championships 1 | september 15, 2006 | 2 | 4:55 | las vegas, nevada, united states | 138 lb catchweight row 8 : win | 1-0 | leiticia pestova | ko (punches and elbows) | world extreme fighting | june 10, 2006 | 1 | 0:38 | las vegas, nevada, united states | fought at 135 lbs
table_csv/204_386.csv
2
{ "column_index": [ 7 ], "row_index": [ 7 ] }
[ "what are all the events that gina carano attended?", "which of these events have the lowest time?", "what is the time for this event?" ]
2
0:38
[ "Res.", "Record", "Opponent", "Method", "Event", "Date", "Round", "Time", "Location", "Notes" ]
what is the time for this event?
[ [ "Loss", "7-1", "Cristiane Justino", "TKO (punches)", "Strikeforce: Carano vs. Cyborg", "August 15, 2009", "1", "4:59", "San Jose, California, United States", "For the Women's Featherweight Championship" ], [ "Win", "7-0", "Kelly Kobold", "Decision (unanimous)", "EliteXC: Heat", "October 4, 2008", "3", "3:00", "Sunrise, Florida, United States", "nan" ], [ "Win", "6-0", "Kaitlin Young", "TKO (doctor stoppage)", "EliteXC: Primetime", "May 31, 2008", "2", "3:00", "Newark, New Jersey, United States", "144 lb Catchweight" ], [ "Win", "5-0", "Tonya Evinger", "Submission (rear naked choke)", "EliteXC: Uprising", "September 15, 2007", "1", "2:53", "Oahu, Hawaii, United States", "141 lb" ], [ "Win", "4-0", "Julie Kedzie", "Decision (unanimous)", "EliteXC: Destiny", "February 10, 2007", "3", "3:00", "Southaven, Mississippi, United States", "EliteXC Debut, 141 lb" ], [ "Win", "3-0", "Elaina Maxwell", "Decision (unanimous)", "Strikeforce: Triple Threat", "December 8, 2006", "3", "2:00", "San Jose, California, United States", "Strikeforce Debut, 150 lb bout" ], [ "Win", "2-0", "Rosi Sexton", "KO (punch)", "World Pro Fighting Championships 1", "September 15, 2006", "2", "4:55", "Las Vegas, Nevada, United States", "138 lb Catchweight" ], [ "Win", "1-0", "Leiticia Pestova", "KO (punches and elbows)", "World Extreme Fighting", "June 10, 2006", "1", "0:38", "Las Vegas, Nevada, United States", "Fought at 135 lbs" ] ]
[ "0:38" ]
what is the time for this event? || which of these events have the lowest time? | what are all the events that gina carano attended?
nt-6467
col : score | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 row 1 : 5 | 15.3% | 18.4% | 18.0% | 17.1% | 17.0% | 16.4% | 18.9% row 2 : 4 | 18.0% | 17.5% | 17.9% | 18.5% | 18.4% | 19.3% | 21.5% row 3 : 3 | 23.0% | 20.0% | 20.2% | 19.3% | 19.5% | 20.1% | 18.8% row 4 : 2 | 18.5% | 14.3% | 14.2% | 12.7% | 14.6% | 15.0% | 14.9% row 5 : 1 | 25.3% | 29.9% | 29.8% | 32.3% | 30.4% | 29.2% | 26.0% row 6 : mean | 2.79 | 2.80 | 2.80 | 2.76 | 2.77 | 2.79 | 2.92 row 7 : number of students | 97,136 | 100,586 | 104,789 | 115,077 | 122,651 | 132,425 | 140,006
table_csv/203_638.csv
0
{ "column_index": [ 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4 ] }
[ "what are all of the scores?" ]
0
5, 4, 3, 2, 1
[ "Score", "2007", "2008", "2009", "2010", "2011", "2012", "2013" ]
what are all of the scores?
[ [ "5", "15.3%", "18.4%", "18.0%", "17.1%", "17.0%", "16.4%", "18.9%" ], [ "4", "18.0%", "17.5%", "17.9%", "18.5%", "18.4%", "19.3%", "21.5%" ], [ "3", "23.0%", "20.0%", "20.2%", "19.3%", "19.5%", "20.1%", "18.8%" ], [ "2", "18.5%", "14.3%", "14.2%", "12.7%", "14.6%", "15.0%", "14.9%" ], [ "1", "25.3%", "29.9%", "29.8%", "32.3%", "30.4%", "29.2%", "26.0%" ], [ "Mean", "2.79", "2.80", "2.80", "2.76", "2.77", "2.79", "2.92" ], [ "Number of Students", "97,136", "100,586", "104,789", "115,077", "122,651", "132,425", "140,006" ] ]
[ "5", "4", "3", "2", "1" ]
what are all of the scores? ||
nt-6467
col : score | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 row 1 : 5 | 15.3% | 18.4% | 18.0% | 17.1% | 17.0% | 16.4% | 18.9% row 2 : 4 | 18.0% | 17.5% | 17.9% | 18.5% | 18.4% | 19.3% | 21.5% row 3 : 3 | 23.0% | 20.0% | 20.2% | 19.3% | 19.5% | 20.1% | 18.8% row 4 : 2 | 18.5% | 14.3% | 14.2% | 12.7% | 14.6% | 15.0% | 14.9% row 5 : 1 | 25.3% | 29.9% | 29.8% | 32.3% | 30.4% | 29.2% | 26.0% row 6 : mean | 2.79 | 2.80 | 2.80 | 2.76 | 2.77 | 2.79 | 2.92 row 7 : number of students | 97,136 | 100,586 | 104,789 | 115,077 | 122,651 | 132,425 | 140,006
table_csv/203_638.csv
1
{ "column_index": [ 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4 ] }
[ "what are all of the scores?", "and what are the percentages for 2011?" ]
0
17.0%, 18.4%, 19.5%, 14.6%, 30.4%
[ "Score", "2007", "2008", "2009", "2010", "2011", "2012", "2013" ]
and what are the percentages for 2011?
[ [ "5", "15.3%", "18.4%", "18.0%", "17.1%", "17.0%", "16.4%", "18.9%" ], [ "4", "18.0%", "17.5%", "17.9%", "18.5%", "18.4%", "19.3%", "21.5%" ], [ "3", "23.0%", "20.0%", "20.2%", "19.3%", "19.5%", "20.1%", "18.8%" ], [ "2", "18.5%", "14.3%", "14.2%", "12.7%", "14.6%", "15.0%", "14.9%" ], [ "1", "25.3%", "29.9%", "29.8%", "32.3%", "30.4%", "29.2%", "26.0%" ], [ "Mean", "2.79", "2.80", "2.80", "2.76", "2.77", "2.79", "2.92" ], [ "Number of Students", "97,136", "100,586", "104,789", "115,077", "122,651", "132,425", "140,006" ] ]
[ "17.0%", "18.4%", "19.5%", "14.6%", "30.4%" ]
and what are the percentages for 2011? || what are all of the scores?
nt-6467
col : score | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 row 1 : 5 | 15.3% | 18.4% | 18.0% | 17.1% | 17.0% | 16.4% | 18.9% row 2 : 4 | 18.0% | 17.5% | 17.9% | 18.5% | 18.4% | 19.3% | 21.5% row 3 : 3 | 23.0% | 20.0% | 20.2% | 19.3% | 19.5% | 20.1% | 18.8% row 4 : 2 | 18.5% | 14.3% | 14.2% | 12.7% | 14.6% | 15.0% | 14.9% row 5 : 1 | 25.3% | 29.9% | 29.8% | 32.3% | 30.4% | 29.2% | 26.0% row 6 : mean | 2.79 | 2.80 | 2.80 | 2.76 | 2.77 | 2.79 | 2.92 row 7 : number of students | 97,136 | 100,586 | 104,789 | 115,077 | 122,651 | 132,425 | 140,006
table_csv/203_638.csv
2
{ "column_index": [ 5 ], "row_index": [ 4 ] }
[ "what are all of the scores?", "and what are the percentages for 2011?", "and of those, how many students scored a 1?" ]
0
30.4%
[ "Score", "2007", "2008", "2009", "2010", "2011", "2012", "2013" ]
and of those, how many students scored a 1?
[ [ "5", "15.3%", "18.4%", "18.0%", "17.1%", "17.0%", "16.4%", "18.9%" ], [ "4", "18.0%", "17.5%", "17.9%", "18.5%", "18.4%", "19.3%", "21.5%" ], [ "3", "23.0%", "20.0%", "20.2%", "19.3%", "19.5%", "20.1%", "18.8%" ], [ "2", "18.5%", "14.3%", "14.2%", "12.7%", "14.6%", "15.0%", "14.9%" ], [ "1", "25.3%", "29.9%", "29.8%", "32.3%", "30.4%", "29.2%", "26.0%" ], [ "Mean", "2.79", "2.80", "2.80", "2.76", "2.77", "2.79", "2.92" ], [ "Number of Students", "97,136", "100,586", "104,789", "115,077", "122,651", "132,425", "140,006" ] ]
[ "30.4%" ]
and of those, how many students scored a 1? || and what are the percentages for 2011? | what are all of the scores?
nt-6467
col : score | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 row 1 : 5 | 15.3% | 18.4% | 18.0% | 17.1% | 17.0% | 16.4% | 18.9% row 2 : 4 | 18.0% | 17.5% | 17.9% | 18.5% | 18.4% | 19.3% | 21.5% row 3 : 3 | 23.0% | 20.0% | 20.2% | 19.3% | 19.5% | 20.1% | 18.8% row 4 : 2 | 18.5% | 14.3% | 14.2% | 12.7% | 14.6% | 15.0% | 14.9% row 5 : 1 | 25.3% | 29.9% | 29.8% | 32.3% | 30.4% | 29.2% | 26.0% row 6 : mean | 2.79 | 2.80 | 2.80 | 2.76 | 2.77 | 2.79 | 2.92 row 7 : number of students | 97,136 | 100,586 | 104,789 | 115,077 | 122,651 | 132,425 | 140,006
table_csv/203_638.csv
0
{ "column_index": [ 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4 ] }
[ "what are all the possible scores for ap chemistry?" ]
1
5, 4, 3, 2, 1
[ "Score", "2007", "2008", "2009", "2010", "2011", "2012", "2013" ]
what are all the possible scores for ap chemistry?
[ [ "5", "15.3%", "18.4%", "18.0%", "17.1%", "17.0%", "16.4%", "18.9%" ], [ "4", "18.0%", "17.5%", "17.9%", "18.5%", "18.4%", "19.3%", "21.5%" ], [ "3", "23.0%", "20.0%", "20.2%", "19.3%", "19.5%", "20.1%", "18.8%" ], [ "2", "18.5%", "14.3%", "14.2%", "12.7%", "14.6%", "15.0%", "14.9%" ], [ "1", "25.3%", "29.9%", "29.8%", "32.3%", "30.4%", "29.2%", "26.0%" ], [ "Mean", "2.79", "2.80", "2.80", "2.76", "2.77", "2.79", "2.92" ], [ "Number of Students", "97,136", "100,586", "104,789", "115,077", "122,651", "132,425", "140,006" ] ]
[ "5", "4", "3", "2", "1" ]
what are all the possible scores for ap chemistry? ||
nt-6467
col : score | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 row 1 : 5 | 15.3% | 18.4% | 18.0% | 17.1% | 17.0% | 16.4% | 18.9% row 2 : 4 | 18.0% | 17.5% | 17.9% | 18.5% | 18.4% | 19.3% | 21.5% row 3 : 3 | 23.0% | 20.0% | 20.2% | 19.3% | 19.5% | 20.1% | 18.8% row 4 : 2 | 18.5% | 14.3% | 14.2% | 12.7% | 14.6% | 15.0% | 14.9% row 5 : 1 | 25.3% | 29.9% | 29.8% | 32.3% | 30.4% | 29.2% | 26.0% row 6 : mean | 2.79 | 2.80 | 2.80 | 2.76 | 2.77 | 2.79 | 2.92 row 7 : number of students | 97,136 | 100,586 | 104,789 | 115,077 | 122,651 | 132,425 | 140,006
table_csv/203_638.csv
1
{ "column_index": [ 5 ], "row_index": [ 4 ] }
[ "what are all the possible scores for ap chemistry?", "what is the percentage that scored a 1 in 2011?" ]
1
30.4%
[ "Score", "2007", "2008", "2009", "2010", "2011", "2012", "2013" ]
what is the percentage that scored a 1 in 2011?
[ [ "5", "15.3%", "18.4%", "18.0%", "17.1%", "17.0%", "16.4%", "18.9%" ], [ "4", "18.0%", "17.5%", "17.9%", "18.5%", "18.4%", "19.3%", "21.5%" ], [ "3", "23.0%", "20.0%", "20.2%", "19.3%", "19.5%", "20.1%", "18.8%" ], [ "2", "18.5%", "14.3%", "14.2%", "12.7%", "14.6%", "15.0%", "14.9%" ], [ "1", "25.3%", "29.9%", "29.8%", "32.3%", "30.4%", "29.2%", "26.0%" ], [ "Mean", "2.79", "2.80", "2.80", "2.76", "2.77", "2.79", "2.92" ], [ "Number of Students", "97,136", "100,586", "104,789", "115,077", "122,651", "132,425", "140,006" ] ]
[ "30.4%" ]
what is the percentage that scored a 1 in 2011? || what are all the possible scores for ap chemistry?
nt-6467
col : score | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 row 1 : 5 | 15.3% | 18.4% | 18.0% | 17.1% | 17.0% | 16.4% | 18.9% row 2 : 4 | 18.0% | 17.5% | 17.9% | 18.5% | 18.4% | 19.3% | 21.5% row 3 : 3 | 23.0% | 20.0% | 20.2% | 19.3% | 19.5% | 20.1% | 18.8% row 4 : 2 | 18.5% | 14.3% | 14.2% | 12.7% | 14.6% | 15.0% | 14.9% row 5 : 1 | 25.3% | 29.9% | 29.8% | 32.3% | 30.4% | 29.2% | 26.0% row 6 : mean | 2.79 | 2.80 | 2.80 | 2.76 | 2.77 | 2.79 | 2.92 row 7 : number of students | 97,136 | 100,586 | 104,789 | 115,077 | 122,651 | 132,425 | 140,006
table_csv/203_638.csv
0
{ "column_index": [ 1, 4, 5, 6, 7 ], "row_index": [ 5, 5, 5, 5, 5 ] }
[ "was were the means in the years that the mean was under 2.80?" ]
2
2.79, 2.76, 2.77, 2.79, 2.92
[ "Score", "2007", "2008", "2009", "2010", "2011", "2012", "2013" ]
was were the means in the years that the mean was under 2.80?
[ [ "5", "15.3%", "18.4%", "18.0%", "17.1%", "17.0%", "16.4%", "18.9%" ], [ "4", "18.0%", "17.5%", "17.9%", "18.5%", "18.4%", "19.3%", "21.5%" ], [ "3", "23.0%", "20.0%", "20.2%", "19.3%", "19.5%", "20.1%", "18.8%" ], [ "2", "18.5%", "14.3%", "14.2%", "12.7%", "14.6%", "15.0%", "14.9%" ], [ "1", "25.3%", "29.9%", "29.8%", "32.3%", "30.4%", "29.2%", "26.0%" ], [ "Mean", "2.79", "2.80", "2.80", "2.76", "2.77", "2.79", "2.92" ], [ "Number of Students", "97,136", "100,586", "104,789", "115,077", "122,651", "132,425", "140,006" ] ]
[ "2.79", "2.76", "2.77", "2.79", "2.92" ]
was were the means in the years that the mean was under 2.80? ||
nt-6467
col : score | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 row 1 : 5 | 15.3% | 18.4% | 18.0% | 17.1% | 17.0% | 16.4% | 18.9% row 2 : 4 | 18.0% | 17.5% | 17.9% | 18.5% | 18.4% | 19.3% | 21.5% row 3 : 3 | 23.0% | 20.0% | 20.2% | 19.3% | 19.5% | 20.1% | 18.8% row 4 : 2 | 18.5% | 14.3% | 14.2% | 12.7% | 14.6% | 15.0% | 14.9% row 5 : 1 | 25.3% | 29.9% | 29.8% | 32.3% | 30.4% | 29.2% | 26.0% row 6 : mean | 2.79 | 2.80 | 2.80 | 2.76 | 2.77 | 2.79 | 2.92 row 7 : number of students | 97,136 | 100,586 | 104,789 | 115,077 | 122,651 | 132,425 | 140,006
table_csv/203_638.csv
1
{ "column_index": [ 5, 6, 7 ], "row_index": [ 5, 5, 5 ] }
[ "was were the means in the years that the mean was under 2.80?", "of these which ones had a number of students over 120,000?" ]
2
2.77, 2.79, 2.92
[ "Score", "2007", "2008", "2009", "2010", "2011", "2012", "2013" ]
of these which ones had a number of students over 120,000?
[ [ "5", "15.3%", "18.4%", "18.0%", "17.1%", "17.0%", "16.4%", "18.9%" ], [ "4", "18.0%", "17.5%", "17.9%", "18.5%", "18.4%", "19.3%", "21.5%" ], [ "3", "23.0%", "20.0%", "20.2%", "19.3%", "19.5%", "20.1%", "18.8%" ], [ "2", "18.5%", "14.3%", "14.2%", "12.7%", "14.6%", "15.0%", "14.9%" ], [ "1", "25.3%", "29.9%", "29.8%", "32.3%", "30.4%", "29.2%", "26.0%" ], [ "Mean", "2.79", "2.80", "2.80", "2.76", "2.77", "2.79", "2.92" ], [ "Number of Students", "97,136", "100,586", "104,789", "115,077", "122,651", "132,425", "140,006" ] ]
[ "2.77", "2.79", "2.92" ]
of these which ones had a number of students over 120,000? || was were the means in the years that the mean was under 2.80?
nt-6467
col : score | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 row 1 : 5 | 15.3% | 18.4% | 18.0% | 17.1% | 17.0% | 16.4% | 18.9% row 2 : 4 | 18.0% | 17.5% | 17.9% | 18.5% | 18.4% | 19.3% | 21.5% row 3 : 3 | 23.0% | 20.0% | 20.2% | 19.3% | 19.5% | 20.1% | 18.8% row 4 : 2 | 18.5% | 14.3% | 14.2% | 12.7% | 14.6% | 15.0% | 14.9% row 5 : 1 | 25.3% | 29.9% | 29.8% | 32.3% | 30.4% | 29.2% | 26.0% row 6 : mean | 2.79 | 2.80 | 2.80 | 2.76 | 2.77 | 2.79 | 2.92 row 7 : number of students | 97,136 | 100,586 | 104,789 | 115,077 | 122,651 | 132,425 | 140,006
table_csv/203_638.csv
2
{ "column_index": [ 5 ], "row_index": [ 4 ] }
[ "was were the means in the years that the mean was under 2.80?", "of these which ones had a number of students over 120,000?", "what was the percentage of students that scored 1 with the lowest of these means?" ]
2
30.4%
[ "Score", "2007", "2008", "2009", "2010", "2011", "2012", "2013" ]
what was the percentage of students that scored 1 with the lowest of these means?
[ [ "5", "15.3%", "18.4%", "18.0%", "17.1%", "17.0%", "16.4%", "18.9%" ], [ "4", "18.0%", "17.5%", "17.9%", "18.5%", "18.4%", "19.3%", "21.5%" ], [ "3", "23.0%", "20.0%", "20.2%", "19.3%", "19.5%", "20.1%", "18.8%" ], [ "2", "18.5%", "14.3%", "14.2%", "12.7%", "14.6%", "15.0%", "14.9%" ], [ "1", "25.3%", "29.9%", "29.8%", "32.3%", "30.4%", "29.2%", "26.0%" ], [ "Mean", "2.79", "2.80", "2.80", "2.76", "2.77", "2.79", "2.92" ], [ "Number of Students", "97,136", "100,586", "104,789", "115,077", "122,651", "132,425", "140,006" ] ]
[ "30.4%" ]
what was the percentage of students that scored 1 with the lowest of these means? || of these which ones had a number of students over 120,000? | was were the means in the years that the mean was under 2.80?
ns-2623
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 4 | robert kubica | bmw sauber | 70 | 1:36:24.227 | 2 | 10.0 row 2 : 2 | 3 | nick heidfeld | bmw sauber | 70 | +16.495 | 8 | 8.0 row 3 : 3 | 9 | david coulthard | red bull-renault | 70 | +23.352 | 13 | 6.0 row 4 : 4 | 12 | timo glock | toyota | 70 | +42.627 | 11 | 5.0 row 5 : 5 | 2 | felipe massa | ferrari | 70 | +43.934 | 6 | 4.0 row 6 : 6 | 11 | jarno trulli | toyota | 70 | +47.775 | 14 | 3.0 row 7 : 7 | 17 | rubens barrichello | honda | 70 | +53.597 | 9 | 2.0 row 8 : 8 | 15 | sebastian vettel | toro rosso-ferrari | 70 | +54.120 | 19 | 1.0 row 9 : 9 | 23 | heikki kovalainen | mclaren-mercedes | 70 | +54.433 | 7 | nan row 10 : 10 | 7 | nico rosberg | williams-toyota | 70 | +54.749 | 5 | nan row 11 : 11 | 16 | jenson button | honda | 70 | +1:07.540 | 20 | nan row 12 : 12 | 10 | mark webber | red bull-renault | 70 | +1:11.299 | 10 | nan row 13 : 13 | 14 | sebastien bourdais | toro rosso-ferrari | 69 | +1 lap | 18 | nan row 14 : ret | 21 | giancarlo fisichella | force india-ferrari | 51 | spun off | 17 | nan row 15 : ret | 8 | kazuki nakajima | williams-toyota | 46 | accident | 12 | nan row 16 : ret | 5 | fernando alonso | renault | 44 | spun off | 4 | nan row 17 : ret | 6 | nelson piquet jr. | renault | 43 | brakes | 15 | nan row 18 : ret | 1 | kimi raikkonen | ferrari | 19 | collision | 3 | nan row 19 : ret | 22 | lewis hamilton | mclaren-mercedes | 19 | collision | 1 | nan row 20 : ret | 20 | adrian sutil | force india-ferrari | 13 | gearbox | 16 | nan
table_csv/203_52.csv
0
{ "column_index": [ 4 ], "row_index": [ 17 ] }
[ "how many laps did kimi raikkonen go?" ]
0
19
[ "Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points" ]
how many laps did kimi raikkonen go?
[ [ "1", "4", "Robert Kubica", "BMW Sauber", "70", "1:36:24.227", "2", "10.0" ], [ "2", "3", "Nick Heidfeld", "BMW Sauber", "70", "+16.495", "8", "8.0" ], [ "3", "9", "David Coulthard", "Red Bull-Renault", "70", "+23.352", "13", "6.0" ], [ "4", "12", "Timo Glock", "Toyota", "70", "+42.627", "11", "5.0" ], [ "5", "2", "Felipe Massa", "Ferrari", "70", "+43.934", "6", "4.0" ], [ "6", "11", "Jarno Trulli", "Toyota", "70", "+47.775", "14", "3.0" ], [ "7", "17", "Rubens Barrichello", "Honda", "70", "+53.597", "9", "2.0" ], [ "8", "15", "Sebastian Vettel", "Toro Rosso-Ferrari", "70", "+54.120", "19", "1.0" ], [ "9", "23", "Heikki Kovalainen", "McLaren-Mercedes", "70", "+54.433", "7", "nan" ], [ "10", "7", "Nico Rosberg", "Williams-Toyota", "70", "+54.749", "5", "nan" ], [ "11", "16", "Jenson Button", "Honda", "70", "+1:07.540", "20", "nan" ], [ "12", "10", "Mark Webber", "Red Bull-Renault", "70", "+1:11.299", "10", "nan" ], [ "13", "14", "Sebastien Bourdais", "Toro Rosso-Ferrari", "69", "+1 Lap", "18", "nan" ], [ "Ret", "21", "Giancarlo Fisichella", "Force India-Ferrari", "51", "Spun off", "17", "nan" ], [ "Ret", "8", "Kazuki Nakajima", "Williams-Toyota", "46", "Accident", "12", "nan" ], [ "Ret", "5", "Fernando Alonso", "Renault", "44", "Spun off", "4", "nan" ], [ "Ret", "6", "Nelson Piquet Jr.", "Renault", "43", "Brakes", "15", "nan" ], [ "Ret", "1", "Kimi Raikkonen", "Ferrari", "19", "Collision", "3", "nan" ], [ "Ret", "22", "Lewis Hamilton", "McLaren-Mercedes", "19", "Collision", "1", "nan" ], [ "Ret", "20", "Adrian Sutil", "Force India-Ferrari", "13", "Gearbox", "16", "nan" ] ]
[ "19" ]
how many laps did kimi raikkonen go? ||
ns-2623
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 4 | robert kubica | bmw sauber | 70 | 1:36:24.227 | 2 | 10.0 row 2 : 2 | 3 | nick heidfeld | bmw sauber | 70 | +16.495 | 8 | 8.0 row 3 : 3 | 9 | david coulthard | red bull-renault | 70 | +23.352 | 13 | 6.0 row 4 : 4 | 12 | timo glock | toyota | 70 | +42.627 | 11 | 5.0 row 5 : 5 | 2 | felipe massa | ferrari | 70 | +43.934 | 6 | 4.0 row 6 : 6 | 11 | jarno trulli | toyota | 70 | +47.775 | 14 | 3.0 row 7 : 7 | 17 | rubens barrichello | honda | 70 | +53.597 | 9 | 2.0 row 8 : 8 | 15 | sebastian vettel | toro rosso-ferrari | 70 | +54.120 | 19 | 1.0 row 9 : 9 | 23 | heikki kovalainen | mclaren-mercedes | 70 | +54.433 | 7 | nan row 10 : 10 | 7 | nico rosberg | williams-toyota | 70 | +54.749 | 5 | nan row 11 : 11 | 16 | jenson button | honda | 70 | +1:07.540 | 20 | nan row 12 : 12 | 10 | mark webber | red bull-renault | 70 | +1:11.299 | 10 | nan row 13 : 13 | 14 | sebastien bourdais | toro rosso-ferrari | 69 | +1 lap | 18 | nan row 14 : ret | 21 | giancarlo fisichella | force india-ferrari | 51 | spun off | 17 | nan row 15 : ret | 8 | kazuki nakajima | williams-toyota | 46 | accident | 12 | nan row 16 : ret | 5 | fernando alonso | renault | 44 | spun off | 4 | nan row 17 : ret | 6 | nelson piquet jr. | renault | 43 | brakes | 15 | nan row 18 : ret | 1 | kimi raikkonen | ferrari | 19 | collision | 3 | nan row 19 : ret | 22 | lewis hamilton | mclaren-mercedes | 19 | collision | 1 | nan row 20 : ret | 20 | adrian sutil | force india-ferrari | 13 | gearbox | 16 | nan
table_csv/203_52.csv
1
{ "column_index": [ 2 ], "row_index": [ 18 ] }
[ "how many laps did kimi raikkonen go?", "who else went 19 laps?" ]
0
lewis hamilton
[ "Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points" ]
who else went 19 laps?
[ [ "1", "4", "Robert Kubica", "BMW Sauber", "70", "1:36:24.227", "2", "10.0" ], [ "2", "3", "Nick Heidfeld", "BMW Sauber", "70", "+16.495", "8", "8.0" ], [ "3", "9", "David Coulthard", "Red Bull-Renault", "70", "+23.352", "13", "6.0" ], [ "4", "12", "Timo Glock", "Toyota", "70", "+42.627", "11", "5.0" ], [ "5", "2", "Felipe Massa", "Ferrari", "70", "+43.934", "6", "4.0" ], [ "6", "11", "Jarno Trulli", "Toyota", "70", "+47.775", "14", "3.0" ], [ "7", "17", "Rubens Barrichello", "Honda", "70", "+53.597", "9", "2.0" ], [ "8", "15", "Sebastian Vettel", "Toro Rosso-Ferrari", "70", "+54.120", "19", "1.0" ], [ "9", "23", "Heikki Kovalainen", "McLaren-Mercedes", "70", "+54.433", "7", "nan" ], [ "10", "7", "Nico Rosberg", "Williams-Toyota", "70", "+54.749", "5", "nan" ], [ "11", "16", "Jenson Button", "Honda", "70", "+1:07.540", "20", "nan" ], [ "12", "10", "Mark Webber", "Red Bull-Renault", "70", "+1:11.299", "10", "nan" ], [ "13", "14", "Sebastien Bourdais", "Toro Rosso-Ferrari", "69", "+1 Lap", "18", "nan" ], [ "Ret", "21", "Giancarlo Fisichella", "Force India-Ferrari", "51", "Spun off", "17", "nan" ], [ "Ret", "8", "Kazuki Nakajima", "Williams-Toyota", "46", "Accident", "12", "nan" ], [ "Ret", "5", "Fernando Alonso", "Renault", "44", "Spun off", "4", "nan" ], [ "Ret", "6", "Nelson Piquet Jr.", "Renault", "43", "Brakes", "15", "nan" ], [ "Ret", "1", "Kimi Raikkonen", "Ferrari", "19", "Collision", "3", "nan" ], [ "Ret", "22", "Lewis Hamilton", "McLaren-Mercedes", "19", "Collision", "1", "nan" ], [ "Ret", "20", "Adrian Sutil", "Force India-Ferrari", "13", "Gearbox", "16", "nan" ] ]
[ "Lewis Hamilton" ]
who else went 19 laps? || how many laps did kimi raikkonen go?
ns-2623
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 4 | robert kubica | bmw sauber | 70 | 1:36:24.227 | 2 | 10.0 row 2 : 2 | 3 | nick heidfeld | bmw sauber | 70 | +16.495 | 8 | 8.0 row 3 : 3 | 9 | david coulthard | red bull-renault | 70 | +23.352 | 13 | 6.0 row 4 : 4 | 12 | timo glock | toyota | 70 | +42.627 | 11 | 5.0 row 5 : 5 | 2 | felipe massa | ferrari | 70 | +43.934 | 6 | 4.0 row 6 : 6 | 11 | jarno trulli | toyota | 70 | +47.775 | 14 | 3.0 row 7 : 7 | 17 | rubens barrichello | honda | 70 | +53.597 | 9 | 2.0 row 8 : 8 | 15 | sebastian vettel | toro rosso-ferrari | 70 | +54.120 | 19 | 1.0 row 9 : 9 | 23 | heikki kovalainen | mclaren-mercedes | 70 | +54.433 | 7 | nan row 10 : 10 | 7 | nico rosberg | williams-toyota | 70 | +54.749 | 5 | nan row 11 : 11 | 16 | jenson button | honda | 70 | +1:07.540 | 20 | nan row 12 : 12 | 10 | mark webber | red bull-renault | 70 | +1:11.299 | 10 | nan row 13 : 13 | 14 | sebastien bourdais | toro rosso-ferrari | 69 | +1 lap | 18 | nan row 14 : ret | 21 | giancarlo fisichella | force india-ferrari | 51 | spun off | 17 | nan row 15 : ret | 8 | kazuki nakajima | williams-toyota | 46 | accident | 12 | nan row 16 : ret | 5 | fernando alonso | renault | 44 | spun off | 4 | nan row 17 : ret | 6 | nelson piquet jr. | renault | 43 | brakes | 15 | nan row 18 : ret | 1 | kimi raikkonen | ferrari | 19 | collision | 3 | nan row 19 : ret | 22 | lewis hamilton | mclaren-mercedes | 19 | collision | 1 | nan row 20 : ret | 20 | adrian sutil | force india-ferrari | 13 | gearbox | 16 | nan
table_csv/203_52.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ] }
[ "who are all the driver?" ]
1
robert kubica, nick heidfeld, david coulthard, timo glock, felipe massa, jarno trulli, rubens barrichello, sebastian vettel, heikki kovalainen, nico rosberg, jenson button, mark webber, sebastien bourdais, giancarlo fisichella, kazuki nakajima, fernando alonso, nelson piquet jr., kimi raikkonen, lewis hamilton, adrian sutil
[ "Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points" ]
who are all the driver?
[ [ "1", "4", "Robert Kubica", "BMW Sauber", "70", "1:36:24.227", "2", "10.0" ], [ "2", "3", "Nick Heidfeld", "BMW Sauber", "70", "+16.495", "8", "8.0" ], [ "3", "9", "David Coulthard", "Red Bull-Renault", "70", "+23.352", "13", "6.0" ], [ "4", "12", "Timo Glock", "Toyota", "70", "+42.627", "11", "5.0" ], [ "5", "2", "Felipe Massa", "Ferrari", "70", "+43.934", "6", "4.0" ], [ "6", "11", "Jarno Trulli", "Toyota", "70", "+47.775", "14", "3.0" ], [ "7", "17", "Rubens Barrichello", "Honda", "70", "+53.597", "9", "2.0" ], [ "8", "15", "Sebastian Vettel", "Toro Rosso-Ferrari", "70", "+54.120", "19", "1.0" ], [ "9", "23", "Heikki Kovalainen", "McLaren-Mercedes", "70", "+54.433", "7", "nan" ], [ "10", "7", "Nico Rosberg", "Williams-Toyota", "70", "+54.749", "5", "nan" ], [ "11", "16", "Jenson Button", "Honda", "70", "+1:07.540", "20", "nan" ], [ "12", "10", "Mark Webber", "Red Bull-Renault", "70", "+1:11.299", "10", "nan" ], [ "13", "14", "Sebastien Bourdais", "Toro Rosso-Ferrari", "69", "+1 Lap", "18", "nan" ], [ "Ret", "21", "Giancarlo Fisichella", "Force India-Ferrari", "51", "Spun off", "17", "nan" ], [ "Ret", "8", "Kazuki Nakajima", "Williams-Toyota", "46", "Accident", "12", "nan" ], [ "Ret", "5", "Fernando Alonso", "Renault", "44", "Spun off", "4", "nan" ], [ "Ret", "6", "Nelson Piquet Jr.", "Renault", "43", "Brakes", "15", "nan" ], [ "Ret", "1", "Kimi Raikkonen", "Ferrari", "19", "Collision", "3", "nan" ], [ "Ret", "22", "Lewis Hamilton", "McLaren-Mercedes", "19", "Collision", "1", "nan" ], [ "Ret", "20", "Adrian Sutil", "Force India-Ferrari", "13", "Gearbox", "16", "nan" ] ]
[ "Robert Kubica", "Nick Heidfeld", "David Coulthard", "Timo Glock", "Felipe Massa", "Jarno Trulli", "Rubens Barrichello", "Sebastian Vettel", "Heikki Kovalainen", "Nico Rosberg", "Jenson Button", "Mark Webber", "Sebastien Bourdais", "Giancarlo Fisichella", "Kazuki Nakajima", "Fernando Alonso", "Nelson Piquet Jr.", "Kimi Raikkonen", "Lewis Hamilton", "Adrian Sutil" ]
who are all the driver? ||
ns-2623
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 4 | robert kubica | bmw sauber | 70 | 1:36:24.227 | 2 | 10.0 row 2 : 2 | 3 | nick heidfeld | bmw sauber | 70 | +16.495 | 8 | 8.0 row 3 : 3 | 9 | david coulthard | red bull-renault | 70 | +23.352 | 13 | 6.0 row 4 : 4 | 12 | timo glock | toyota | 70 | +42.627 | 11 | 5.0 row 5 : 5 | 2 | felipe massa | ferrari | 70 | +43.934 | 6 | 4.0 row 6 : 6 | 11 | jarno trulli | toyota | 70 | +47.775 | 14 | 3.0 row 7 : 7 | 17 | rubens barrichello | honda | 70 | +53.597 | 9 | 2.0 row 8 : 8 | 15 | sebastian vettel | toro rosso-ferrari | 70 | +54.120 | 19 | 1.0 row 9 : 9 | 23 | heikki kovalainen | mclaren-mercedes | 70 | +54.433 | 7 | nan row 10 : 10 | 7 | nico rosberg | williams-toyota | 70 | +54.749 | 5 | nan row 11 : 11 | 16 | jenson button | honda | 70 | +1:07.540 | 20 | nan row 12 : 12 | 10 | mark webber | red bull-renault | 70 | +1:11.299 | 10 | nan row 13 : 13 | 14 | sebastien bourdais | toro rosso-ferrari | 69 | +1 lap | 18 | nan row 14 : ret | 21 | giancarlo fisichella | force india-ferrari | 51 | spun off | 17 | nan row 15 : ret | 8 | kazuki nakajima | williams-toyota | 46 | accident | 12 | nan row 16 : ret | 5 | fernando alonso | renault | 44 | spun off | 4 | nan row 17 : ret | 6 | nelson piquet jr. | renault | 43 | brakes | 15 | nan row 18 : ret | 1 | kimi raikkonen | ferrari | 19 | collision | 3 | nan row 19 : ret | 22 | lewis hamilton | mclaren-mercedes | 19 | collision | 1 | nan row 20 : ret | 20 | adrian sutil | force india-ferrari | 13 | gearbox | 16 | nan
table_csv/203_52.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ] }
[ "who are all the driver?", "how many laps did they complete?" ]
1
70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 69, 51, 46, 44, 43, 19, 19, 13
[ "Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points" ]
how many laps did they complete?
[ [ "1", "4", "Robert Kubica", "BMW Sauber", "70", "1:36:24.227", "2", "10.0" ], [ "2", "3", "Nick Heidfeld", "BMW Sauber", "70", "+16.495", "8", "8.0" ], [ "3", "9", "David Coulthard", "Red Bull-Renault", "70", "+23.352", "13", "6.0" ], [ "4", "12", "Timo Glock", "Toyota", "70", "+42.627", "11", "5.0" ], [ "5", "2", "Felipe Massa", "Ferrari", "70", "+43.934", "6", "4.0" ], [ "6", "11", "Jarno Trulli", "Toyota", "70", "+47.775", "14", "3.0" ], [ "7", "17", "Rubens Barrichello", "Honda", "70", "+53.597", "9", "2.0" ], [ "8", "15", "Sebastian Vettel", "Toro Rosso-Ferrari", "70", "+54.120", "19", "1.0" ], [ "9", "23", "Heikki Kovalainen", "McLaren-Mercedes", "70", "+54.433", "7", "nan" ], [ "10", "7", "Nico Rosberg", "Williams-Toyota", "70", "+54.749", "5", "nan" ], [ "11", "16", "Jenson Button", "Honda", "70", "+1:07.540", "20", "nan" ], [ "12", "10", "Mark Webber", "Red Bull-Renault", "70", "+1:11.299", "10", "nan" ], [ "13", "14", "Sebastien Bourdais", "Toro Rosso-Ferrari", "69", "+1 Lap", "18", "nan" ], [ "Ret", "21", "Giancarlo Fisichella", "Force India-Ferrari", "51", "Spun off", "17", "nan" ], [ "Ret", "8", "Kazuki Nakajima", "Williams-Toyota", "46", "Accident", "12", "nan" ], [ "Ret", "5", "Fernando Alonso", "Renault", "44", "Spun off", "4", "nan" ], [ "Ret", "6", "Nelson Piquet Jr.", "Renault", "43", "Brakes", "15", "nan" ], [ "Ret", "1", "Kimi Raikkonen", "Ferrari", "19", "Collision", "3", "nan" ], [ "Ret", "22", "Lewis Hamilton", "McLaren-Mercedes", "19", "Collision", "1", "nan" ], [ "Ret", "20", "Adrian Sutil", "Force India-Ferrari", "13", "Gearbox", "16", "nan" ] ]
[ "70", "70", "70", "70", "70", "70", "70", "70", "70", "70", "70", "70", "69", "51", "46", "44", "43", "19", "19", "13" ]
how many laps did they complete? || who are all the driver?
ns-2623
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 4 | robert kubica | bmw sauber | 70 | 1:36:24.227 | 2 | 10.0 row 2 : 2 | 3 | nick heidfeld | bmw sauber | 70 | +16.495 | 8 | 8.0 row 3 : 3 | 9 | david coulthard | red bull-renault | 70 | +23.352 | 13 | 6.0 row 4 : 4 | 12 | timo glock | toyota | 70 | +42.627 | 11 | 5.0 row 5 : 5 | 2 | felipe massa | ferrari | 70 | +43.934 | 6 | 4.0 row 6 : 6 | 11 | jarno trulli | toyota | 70 | +47.775 | 14 | 3.0 row 7 : 7 | 17 | rubens barrichello | honda | 70 | +53.597 | 9 | 2.0 row 8 : 8 | 15 | sebastian vettel | toro rosso-ferrari | 70 | +54.120 | 19 | 1.0 row 9 : 9 | 23 | heikki kovalainen | mclaren-mercedes | 70 | +54.433 | 7 | nan row 10 : 10 | 7 | nico rosberg | williams-toyota | 70 | +54.749 | 5 | nan row 11 : 11 | 16 | jenson button | honda | 70 | +1:07.540 | 20 | nan row 12 : 12 | 10 | mark webber | red bull-renault | 70 | +1:11.299 | 10 | nan row 13 : 13 | 14 | sebastien bourdais | toro rosso-ferrari | 69 | +1 lap | 18 | nan row 14 : ret | 21 | giancarlo fisichella | force india-ferrari | 51 | spun off | 17 | nan row 15 : ret | 8 | kazuki nakajima | williams-toyota | 46 | accident | 12 | nan row 16 : ret | 5 | fernando alonso | renault | 44 | spun off | 4 | nan row 17 : ret | 6 | nelson piquet jr. | renault | 43 | brakes | 15 | nan row 18 : ret | 1 | kimi raikkonen | ferrari | 19 | collision | 3 | nan row 19 : ret | 22 | lewis hamilton | mclaren-mercedes | 19 | collision | 1 | nan row 20 : ret | 20 | adrian sutil | force india-ferrari | 13 | gearbox | 16 | nan
table_csv/203_52.csv
2
{ "column_index": [ 4 ], "row_index": [ 17 ] }
[ "who are all the driver?", "how many laps did they complete?", "what about just kimi raikkonen?" ]
1
19
[ "Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points" ]
what about just kimi raikkonen?
[ [ "1", "4", "Robert Kubica", "BMW Sauber", "70", "1:36:24.227", "2", "10.0" ], [ "2", "3", "Nick Heidfeld", "BMW Sauber", "70", "+16.495", "8", "8.0" ], [ "3", "9", "David Coulthard", "Red Bull-Renault", "70", "+23.352", "13", "6.0" ], [ "4", "12", "Timo Glock", "Toyota", "70", "+42.627", "11", "5.0" ], [ "5", "2", "Felipe Massa", "Ferrari", "70", "+43.934", "6", "4.0" ], [ "6", "11", "Jarno Trulli", "Toyota", "70", "+47.775", "14", "3.0" ], [ "7", "17", "Rubens Barrichello", "Honda", "70", "+53.597", "9", "2.0" ], [ "8", "15", "Sebastian Vettel", "Toro Rosso-Ferrari", "70", "+54.120", "19", "1.0" ], [ "9", "23", "Heikki Kovalainen", "McLaren-Mercedes", "70", "+54.433", "7", "nan" ], [ "10", "7", "Nico Rosberg", "Williams-Toyota", "70", "+54.749", "5", "nan" ], [ "11", "16", "Jenson Button", "Honda", "70", "+1:07.540", "20", "nan" ], [ "12", "10", "Mark Webber", "Red Bull-Renault", "70", "+1:11.299", "10", "nan" ], [ "13", "14", "Sebastien Bourdais", "Toro Rosso-Ferrari", "69", "+1 Lap", "18", "nan" ], [ "Ret", "21", "Giancarlo Fisichella", "Force India-Ferrari", "51", "Spun off", "17", "nan" ], [ "Ret", "8", "Kazuki Nakajima", "Williams-Toyota", "46", "Accident", "12", "nan" ], [ "Ret", "5", "Fernando Alonso", "Renault", "44", "Spun off", "4", "nan" ], [ "Ret", "6", "Nelson Piquet Jr.", "Renault", "43", "Brakes", "15", "nan" ], [ "Ret", "1", "Kimi Raikkonen", "Ferrari", "19", "Collision", "3", "nan" ], [ "Ret", "22", "Lewis Hamilton", "McLaren-Mercedes", "19", "Collision", "1", "nan" ], [ "Ret", "20", "Adrian Sutil", "Force India-Ferrari", "13", "Gearbox", "16", "nan" ] ]
[ "19" ]
what about just kimi raikkonen? || how many laps did they complete? | who are all the driver?
ns-2623
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 4 | robert kubica | bmw sauber | 70 | 1:36:24.227 | 2 | 10.0 row 2 : 2 | 3 | nick heidfeld | bmw sauber | 70 | +16.495 | 8 | 8.0 row 3 : 3 | 9 | david coulthard | red bull-renault | 70 | +23.352 | 13 | 6.0 row 4 : 4 | 12 | timo glock | toyota | 70 | +42.627 | 11 | 5.0 row 5 : 5 | 2 | felipe massa | ferrari | 70 | +43.934 | 6 | 4.0 row 6 : 6 | 11 | jarno trulli | toyota | 70 | +47.775 | 14 | 3.0 row 7 : 7 | 17 | rubens barrichello | honda | 70 | +53.597 | 9 | 2.0 row 8 : 8 | 15 | sebastian vettel | toro rosso-ferrari | 70 | +54.120 | 19 | 1.0 row 9 : 9 | 23 | heikki kovalainen | mclaren-mercedes | 70 | +54.433 | 7 | nan row 10 : 10 | 7 | nico rosberg | williams-toyota | 70 | +54.749 | 5 | nan row 11 : 11 | 16 | jenson button | honda | 70 | +1:07.540 | 20 | nan row 12 : 12 | 10 | mark webber | red bull-renault | 70 | +1:11.299 | 10 | nan row 13 : 13 | 14 | sebastien bourdais | toro rosso-ferrari | 69 | +1 lap | 18 | nan row 14 : ret | 21 | giancarlo fisichella | force india-ferrari | 51 | spun off | 17 | nan row 15 : ret | 8 | kazuki nakajima | williams-toyota | 46 | accident | 12 | nan row 16 : ret | 5 | fernando alonso | renault | 44 | spun off | 4 | nan row 17 : ret | 6 | nelson piquet jr. | renault | 43 | brakes | 15 | nan row 18 : ret | 1 | kimi raikkonen | ferrari | 19 | collision | 3 | nan row 19 : ret | 22 | lewis hamilton | mclaren-mercedes | 19 | collision | 1 | nan row 20 : ret | 20 | adrian sutil | force india-ferrari | 13 | gearbox | 16 | nan
table_csv/203_52.csv
3
{ "column_index": [ 2 ], "row_index": [ 18 ] }
[ "who are all the driver?", "how many laps did they complete?", "what about just kimi raikkonen?", "who else completed that same number of laps?" ]
1
lewis hamilton
[ "Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points" ]
who else completed that same number of laps?
[ [ "1", "4", "Robert Kubica", "BMW Sauber", "70", "1:36:24.227", "2", "10.0" ], [ "2", "3", "Nick Heidfeld", "BMW Sauber", "70", "+16.495", "8", "8.0" ], [ "3", "9", "David Coulthard", "Red Bull-Renault", "70", "+23.352", "13", "6.0" ], [ "4", "12", "Timo Glock", "Toyota", "70", "+42.627", "11", "5.0" ], [ "5", "2", "Felipe Massa", "Ferrari", "70", "+43.934", "6", "4.0" ], [ "6", "11", "Jarno Trulli", "Toyota", "70", "+47.775", "14", "3.0" ], [ "7", "17", "Rubens Barrichello", "Honda", "70", "+53.597", "9", "2.0" ], [ "8", "15", "Sebastian Vettel", "Toro Rosso-Ferrari", "70", "+54.120", "19", "1.0" ], [ "9", "23", "Heikki Kovalainen", "McLaren-Mercedes", "70", "+54.433", "7", "nan" ], [ "10", "7", "Nico Rosberg", "Williams-Toyota", "70", "+54.749", "5", "nan" ], [ "11", "16", "Jenson Button", "Honda", "70", "+1:07.540", "20", "nan" ], [ "12", "10", "Mark Webber", "Red Bull-Renault", "70", "+1:11.299", "10", "nan" ], [ "13", "14", "Sebastien Bourdais", "Toro Rosso-Ferrari", "69", "+1 Lap", "18", "nan" ], [ "Ret", "21", "Giancarlo Fisichella", "Force India-Ferrari", "51", "Spun off", "17", "nan" ], [ "Ret", "8", "Kazuki Nakajima", "Williams-Toyota", "46", "Accident", "12", "nan" ], [ "Ret", "5", "Fernando Alonso", "Renault", "44", "Spun off", "4", "nan" ], [ "Ret", "6", "Nelson Piquet Jr.", "Renault", "43", "Brakes", "15", "nan" ], [ "Ret", "1", "Kimi Raikkonen", "Ferrari", "19", "Collision", "3", "nan" ], [ "Ret", "22", "Lewis Hamilton", "McLaren-Mercedes", "19", "Collision", "1", "nan" ], [ "Ret", "20", "Adrian Sutil", "Force India-Ferrari", "13", "Gearbox", "16", "nan" ] ]
[ "Lewis Hamilton" ]
who else completed that same number of laps? || what about just kimi raikkonen? | how many laps did they complete? | who are all the driver?
ns-2623
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 4 | robert kubica | bmw sauber | 70 | 1:36:24.227 | 2 | 10.0 row 2 : 2 | 3 | nick heidfeld | bmw sauber | 70 | +16.495 | 8 | 8.0 row 3 : 3 | 9 | david coulthard | red bull-renault | 70 | +23.352 | 13 | 6.0 row 4 : 4 | 12 | timo glock | toyota | 70 | +42.627 | 11 | 5.0 row 5 : 5 | 2 | felipe massa | ferrari | 70 | +43.934 | 6 | 4.0 row 6 : 6 | 11 | jarno trulli | toyota | 70 | +47.775 | 14 | 3.0 row 7 : 7 | 17 | rubens barrichello | honda | 70 | +53.597 | 9 | 2.0 row 8 : 8 | 15 | sebastian vettel | toro rosso-ferrari | 70 | +54.120 | 19 | 1.0 row 9 : 9 | 23 | heikki kovalainen | mclaren-mercedes | 70 | +54.433 | 7 | nan row 10 : 10 | 7 | nico rosberg | williams-toyota | 70 | +54.749 | 5 | nan row 11 : 11 | 16 | jenson button | honda | 70 | +1:07.540 | 20 | nan row 12 : 12 | 10 | mark webber | red bull-renault | 70 | +1:11.299 | 10 | nan row 13 : 13 | 14 | sebastien bourdais | toro rosso-ferrari | 69 | +1 lap | 18 | nan row 14 : ret | 21 | giancarlo fisichella | force india-ferrari | 51 | spun off | 17 | nan row 15 : ret | 8 | kazuki nakajima | williams-toyota | 46 | accident | 12 | nan row 16 : ret | 5 | fernando alonso | renault | 44 | spun off | 4 | nan row 17 : ret | 6 | nelson piquet jr. | renault | 43 | brakes | 15 | nan row 18 : ret | 1 | kimi raikkonen | ferrari | 19 | collision | 3 | nan row 19 : ret | 22 | lewis hamilton | mclaren-mercedes | 19 | collision | 1 | nan row 20 : ret | 20 | adrian sutil | force india-ferrari | 13 | gearbox | 16 | nan
table_csv/203_52.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ] }
[ "who drove in the 2008 canadian grand prix?" ]
2
robert kubica, nick heidfeld, david coulthard, timo glock, felipe massa, jarno trulli, rubens barrichello, sebastian vettel, heikki kovalainen, nico rosberg, jenson button, mark webber, sebastien bourdais, giancarlo fisichella, kazuki nakajima, fernando alonso, nelson piquet jr., kimi raikkonen, lewis hamilton, adrian sutil
[ "Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points" ]
who drove in the 2008 canadian grand prix?
[ [ "1", "4", "Robert Kubica", "BMW Sauber", "70", "1:36:24.227", "2", "10.0" ], [ "2", "3", "Nick Heidfeld", "BMW Sauber", "70", "+16.495", "8", "8.0" ], [ "3", "9", "David Coulthard", "Red Bull-Renault", "70", "+23.352", "13", "6.0" ], [ "4", "12", "Timo Glock", "Toyota", "70", "+42.627", "11", "5.0" ], [ "5", "2", "Felipe Massa", "Ferrari", "70", "+43.934", "6", "4.0" ], [ "6", "11", "Jarno Trulli", "Toyota", "70", "+47.775", "14", "3.0" ], [ "7", "17", "Rubens Barrichello", "Honda", "70", "+53.597", "9", "2.0" ], [ "8", "15", "Sebastian Vettel", "Toro Rosso-Ferrari", "70", "+54.120", "19", "1.0" ], [ "9", "23", "Heikki Kovalainen", "McLaren-Mercedes", "70", "+54.433", "7", "nan" ], [ "10", "7", "Nico Rosberg", "Williams-Toyota", "70", "+54.749", "5", "nan" ], [ "11", "16", "Jenson Button", "Honda", "70", "+1:07.540", "20", "nan" ], [ "12", "10", "Mark Webber", "Red Bull-Renault", "70", "+1:11.299", "10", "nan" ], [ "13", "14", "Sebastien Bourdais", "Toro Rosso-Ferrari", "69", "+1 Lap", "18", "nan" ], [ "Ret", "21", "Giancarlo Fisichella", "Force India-Ferrari", "51", "Spun off", "17", "nan" ], [ "Ret", "8", "Kazuki Nakajima", "Williams-Toyota", "46", "Accident", "12", "nan" ], [ "Ret", "5", "Fernando Alonso", "Renault", "44", "Spun off", "4", "nan" ], [ "Ret", "6", "Nelson Piquet Jr.", "Renault", "43", "Brakes", "15", "nan" ], [ "Ret", "1", "Kimi Raikkonen", "Ferrari", "19", "Collision", "3", "nan" ], [ "Ret", "22", "Lewis Hamilton", "McLaren-Mercedes", "19", "Collision", "1", "nan" ], [ "Ret", "20", "Adrian Sutil", "Force India-Ferrari", "13", "Gearbox", "16", "nan" ] ]
[ "Robert Kubica", "Nick Heidfeld", "David Coulthard", "Timo Glock", "Felipe Massa", "Jarno Trulli", "Rubens Barrichello", "Sebastian Vettel", "Heikki Kovalainen", "Nico Rosberg", "Jenson Button", "Mark Webber", "Sebastien Bourdais", "Giancarlo Fisichella", "Kazuki Nakajima", "Fernando Alonso", "Nelson Piquet Jr.", "Kimi Raikkonen", "Lewis Hamilton", "Adrian Sutil" ]
who drove in the 2008 canadian grand prix? ||
ns-2623
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 4 | robert kubica | bmw sauber | 70 | 1:36:24.227 | 2 | 10.0 row 2 : 2 | 3 | nick heidfeld | bmw sauber | 70 | +16.495 | 8 | 8.0 row 3 : 3 | 9 | david coulthard | red bull-renault | 70 | +23.352 | 13 | 6.0 row 4 : 4 | 12 | timo glock | toyota | 70 | +42.627 | 11 | 5.0 row 5 : 5 | 2 | felipe massa | ferrari | 70 | +43.934 | 6 | 4.0 row 6 : 6 | 11 | jarno trulli | toyota | 70 | +47.775 | 14 | 3.0 row 7 : 7 | 17 | rubens barrichello | honda | 70 | +53.597 | 9 | 2.0 row 8 : 8 | 15 | sebastian vettel | toro rosso-ferrari | 70 | +54.120 | 19 | 1.0 row 9 : 9 | 23 | heikki kovalainen | mclaren-mercedes | 70 | +54.433 | 7 | nan row 10 : 10 | 7 | nico rosberg | williams-toyota | 70 | +54.749 | 5 | nan row 11 : 11 | 16 | jenson button | honda | 70 | +1:07.540 | 20 | nan row 12 : 12 | 10 | mark webber | red bull-renault | 70 | +1:11.299 | 10 | nan row 13 : 13 | 14 | sebastien bourdais | toro rosso-ferrari | 69 | +1 lap | 18 | nan row 14 : ret | 21 | giancarlo fisichella | force india-ferrari | 51 | spun off | 17 | nan row 15 : ret | 8 | kazuki nakajima | williams-toyota | 46 | accident | 12 | nan row 16 : ret | 5 | fernando alonso | renault | 44 | spun off | 4 | nan row 17 : ret | 6 | nelson piquet jr. | renault | 43 | brakes | 15 | nan row 18 : ret | 1 | kimi raikkonen | ferrari | 19 | collision | 3 | nan row 19 : ret | 22 | lewis hamilton | mclaren-mercedes | 19 | collision | 1 | nan row 20 : ret | 20 | adrian sutil | force india-ferrari | 13 | gearbox | 16 | nan
table_csv/203_52.csv
1
{ "column_index": [ 4 ], "row_index": [ 17 ] }
[ "who drove in the 2008 canadian grand prix?", "how many laps did kimi rakkonen do?" ]
2
19
[ "Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points" ]
how many laps did kimi rakkonen do?
[ [ "1", "4", "Robert Kubica", "BMW Sauber", "70", "1:36:24.227", "2", "10.0" ], [ "2", "3", "Nick Heidfeld", "BMW Sauber", "70", "+16.495", "8", "8.0" ], [ "3", "9", "David Coulthard", "Red Bull-Renault", "70", "+23.352", "13", "6.0" ], [ "4", "12", "Timo Glock", "Toyota", "70", "+42.627", "11", "5.0" ], [ "5", "2", "Felipe Massa", "Ferrari", "70", "+43.934", "6", "4.0" ], [ "6", "11", "Jarno Trulli", "Toyota", "70", "+47.775", "14", "3.0" ], [ "7", "17", "Rubens Barrichello", "Honda", "70", "+53.597", "9", "2.0" ], [ "8", "15", "Sebastian Vettel", "Toro Rosso-Ferrari", "70", "+54.120", "19", "1.0" ], [ "9", "23", "Heikki Kovalainen", "McLaren-Mercedes", "70", "+54.433", "7", "nan" ], [ "10", "7", "Nico Rosberg", "Williams-Toyota", "70", "+54.749", "5", "nan" ], [ "11", "16", "Jenson Button", "Honda", "70", "+1:07.540", "20", "nan" ], [ "12", "10", "Mark Webber", "Red Bull-Renault", "70", "+1:11.299", "10", "nan" ], [ "13", "14", "Sebastien Bourdais", "Toro Rosso-Ferrari", "69", "+1 Lap", "18", "nan" ], [ "Ret", "21", "Giancarlo Fisichella", "Force India-Ferrari", "51", "Spun off", "17", "nan" ], [ "Ret", "8", "Kazuki Nakajima", "Williams-Toyota", "46", "Accident", "12", "nan" ], [ "Ret", "5", "Fernando Alonso", "Renault", "44", "Spun off", "4", "nan" ], [ "Ret", "6", "Nelson Piquet Jr.", "Renault", "43", "Brakes", "15", "nan" ], [ "Ret", "1", "Kimi Raikkonen", "Ferrari", "19", "Collision", "3", "nan" ], [ "Ret", "22", "Lewis Hamilton", "McLaren-Mercedes", "19", "Collision", "1", "nan" ], [ "Ret", "20", "Adrian Sutil", "Force India-Ferrari", "13", "Gearbox", "16", "nan" ] ]
[ "19" ]
how many laps did kimi rakkonen do? || who drove in the 2008 canadian grand prix?
ns-2623
col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 4 | robert kubica | bmw sauber | 70 | 1:36:24.227 | 2 | 10.0 row 2 : 2 | 3 | nick heidfeld | bmw sauber | 70 | +16.495 | 8 | 8.0 row 3 : 3 | 9 | david coulthard | red bull-renault | 70 | +23.352 | 13 | 6.0 row 4 : 4 | 12 | timo glock | toyota | 70 | +42.627 | 11 | 5.0 row 5 : 5 | 2 | felipe massa | ferrari | 70 | +43.934 | 6 | 4.0 row 6 : 6 | 11 | jarno trulli | toyota | 70 | +47.775 | 14 | 3.0 row 7 : 7 | 17 | rubens barrichello | honda | 70 | +53.597 | 9 | 2.0 row 8 : 8 | 15 | sebastian vettel | toro rosso-ferrari | 70 | +54.120 | 19 | 1.0 row 9 : 9 | 23 | heikki kovalainen | mclaren-mercedes | 70 | +54.433 | 7 | nan row 10 : 10 | 7 | nico rosberg | williams-toyota | 70 | +54.749 | 5 | nan row 11 : 11 | 16 | jenson button | honda | 70 | +1:07.540 | 20 | nan row 12 : 12 | 10 | mark webber | red bull-renault | 70 | +1:11.299 | 10 | nan row 13 : 13 | 14 | sebastien bourdais | toro rosso-ferrari | 69 | +1 lap | 18 | nan row 14 : ret | 21 | giancarlo fisichella | force india-ferrari | 51 | spun off | 17 | nan row 15 : ret | 8 | kazuki nakajima | williams-toyota | 46 | accident | 12 | nan row 16 : ret | 5 | fernando alonso | renault | 44 | spun off | 4 | nan row 17 : ret | 6 | nelson piquet jr. | renault | 43 | brakes | 15 | nan row 18 : ret | 1 | kimi raikkonen | ferrari | 19 | collision | 3 | nan row 19 : ret | 22 | lewis hamilton | mclaren-mercedes | 19 | collision | 1 | nan row 20 : ret | 20 | adrian sutil | force india-ferrari | 13 | gearbox | 16 | nan
table_csv/203_52.csv
2
{ "column_index": [ 2 ], "row_index": [ 18 ] }
[ "who drove in the 2008 canadian grand prix?", "how many laps did kimi rakkonen do?", "did any other driver complete the same number of laps?" ]
2
lewis hamilton
[ "Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points" ]
did any other driver complete the same number of laps?
[ [ "1", "4", "Robert Kubica", "BMW Sauber", "70", "1:36:24.227", "2", "10.0" ], [ "2", "3", "Nick Heidfeld", "BMW Sauber", "70", "+16.495", "8", "8.0" ], [ "3", "9", "David Coulthard", "Red Bull-Renault", "70", "+23.352", "13", "6.0" ], [ "4", "12", "Timo Glock", "Toyota", "70", "+42.627", "11", "5.0" ], [ "5", "2", "Felipe Massa", "Ferrari", "70", "+43.934", "6", "4.0" ], [ "6", "11", "Jarno Trulli", "Toyota", "70", "+47.775", "14", "3.0" ], [ "7", "17", "Rubens Barrichello", "Honda", "70", "+53.597", "9", "2.0" ], [ "8", "15", "Sebastian Vettel", "Toro Rosso-Ferrari", "70", "+54.120", "19", "1.0" ], [ "9", "23", "Heikki Kovalainen", "McLaren-Mercedes", "70", "+54.433", "7", "nan" ], [ "10", "7", "Nico Rosberg", "Williams-Toyota", "70", "+54.749", "5", "nan" ], [ "11", "16", "Jenson Button", "Honda", "70", "+1:07.540", "20", "nan" ], [ "12", "10", "Mark Webber", "Red Bull-Renault", "70", "+1:11.299", "10", "nan" ], [ "13", "14", "Sebastien Bourdais", "Toro Rosso-Ferrari", "69", "+1 Lap", "18", "nan" ], [ "Ret", "21", "Giancarlo Fisichella", "Force India-Ferrari", "51", "Spun off", "17", "nan" ], [ "Ret", "8", "Kazuki Nakajima", "Williams-Toyota", "46", "Accident", "12", "nan" ], [ "Ret", "5", "Fernando Alonso", "Renault", "44", "Spun off", "4", "nan" ], [ "Ret", "6", "Nelson Piquet Jr.", "Renault", "43", "Brakes", "15", "nan" ], [ "Ret", "1", "Kimi Raikkonen", "Ferrari", "19", "Collision", "3", "nan" ], [ "Ret", "22", "Lewis Hamilton", "McLaren-Mercedes", "19", "Collision", "1", "nan" ], [ "Ret", "20", "Adrian Sutil", "Force India-Ferrari", "13", "Gearbox", "16", "nan" ] ]
[ "Lewis Hamilton" ]
did any other driver complete the same number of laps? || how many laps did kimi rakkonen do? | who drove in the 2008 canadian grand prix?
nt-13664
col : place | team | titles | runners-up | winning years row 1 : 1 | maccabi tel aviv | 5 | 1 | 2007, 2010, 2011, 2012, 2013 row 2 : 2 | hapoel jerusalem | 2 | 3 | 2008, 2009 row 3 : 3 | ironi ashkelon | 1 | 0 | 2006 row 4 : 4 | maccabi rishon lezion | 0 | 1 | nan row 5 : 4 | ironi nahariya | 0 | 1 | nan row 6 : 4 | hapoel holon | 0 | 1 | nan row 7 : 4 | maccabi ashdod | 0 | 1 | nan
table_csv/204_129.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "which israeli basketball league cup winning teams are shown?" ]
0
maccabi tel aviv, hapoel jerusalem, ironi ashkelon, maccabi rishon lezion, ironi nahariya, hapoel holon, maccabi ashdod
[ "Place", "Team", "Titles", "Runners-up", "Winning Years" ]
which israeli basketball league cup winning teams are shown?
[ [ "1", "Maccabi Tel Aviv", "5", "1", "2007, 2010, 2011, 2012, 2013" ], [ "2", "Hapoel Jerusalem", "2", "3", "2008, 2009" ], [ "3", "Ironi Ashkelon", "1", "0", "2006" ], [ "4", "Maccabi Rishon LeZion", "0", "1", "nan" ], [ "4", "Ironi Nahariya", "0", "1", "nan" ], [ "4", "Hapoel Holon", "0", "1", "nan" ], [ "4", "Maccabi Ashdod", "0", "1", "nan" ] ]
[ "Maccabi Tel Aviv", "Hapoel Jerusalem", "Ironi Ashkelon", "Maccabi Rishon LeZion", "Ironi Nahariya", "Hapoel Holon", "Maccabi Ashdod" ]
which israeli basketball league cup winning teams are shown? ||
nt-13664
col : place | team | titles | runners-up | winning years row 1 : 1 | maccabi tel aviv | 5 | 1 | 2007, 2010, 2011, 2012, 2013 row 2 : 2 | hapoel jerusalem | 2 | 3 | 2008, 2009 row 3 : 3 | ironi ashkelon | 1 | 0 | 2006 row 4 : 4 | maccabi rishon lezion | 0 | 1 | nan row 5 : 4 | ironi nahariya | 0 | 1 | nan row 6 : 4 | hapoel holon | 0 | 1 | nan row 7 : 4 | maccabi ashdod | 0 | 1 | nan
table_csv/204_129.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which israeli basketball league cup winning teams are shown?", "which of those teams one in 2008 and 2009?" ]
0
hapoel jerusalem
[ "Place", "Team", "Titles", "Runners-up", "Winning Years" ]
which of those teams one in 2008 and 2009?
[ [ "1", "Maccabi Tel Aviv", "5", "1", "2007, 2010, 2011, 2012, 2013" ], [ "2", "Hapoel Jerusalem", "2", "3", "2008, 2009" ], [ "3", "Ironi Ashkelon", "1", "0", "2006" ], [ "4", "Maccabi Rishon LeZion", "0", "1", "nan" ], [ "4", "Ironi Nahariya", "0", "1", "nan" ], [ "4", "Hapoel Holon", "0", "1", "nan" ], [ "4", "Maccabi Ashdod", "0", "1", "nan" ] ]
[ "Hapoel Jerusalem" ]
which of those teams one in 2008 and 2009? || which israeli basketball league cup winning teams are shown?
nt-13664
col : place | team | titles | runners-up | winning years row 1 : 1 | maccabi tel aviv | 5 | 1 | 2007, 2010, 2011, 2012, 2013 row 2 : 2 | hapoel jerusalem | 2 | 3 | 2008, 2009 row 3 : 3 | ironi ashkelon | 1 | 0 | 2006 row 4 : 4 | maccabi rishon lezion | 0 | 1 | nan row 5 : 4 | ironi nahariya | 0 | 1 | nan row 6 : 4 | hapoel holon | 0 | 1 | nan row 7 : 4 | maccabi ashdod | 0 | 1 | nan
table_csv/204_129.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what teams are in the israeli basketball league cup?" ]
1
maccabi tel aviv, hapoel jerusalem, ironi ashkelon, maccabi rishon lezion, ironi nahariya, hapoel holon, maccabi ashdod
[ "Place", "Team", "Titles", "Runners-up", "Winning Years" ]
what teams are in the israeli basketball league cup?
[ [ "1", "Maccabi Tel Aviv", "5", "1", "2007, 2010, 2011, 2012, 2013" ], [ "2", "Hapoel Jerusalem", "2", "3", "2008, 2009" ], [ "3", "Ironi Ashkelon", "1", "0", "2006" ], [ "4", "Maccabi Rishon LeZion", "0", "1", "nan" ], [ "4", "Ironi Nahariya", "0", "1", "nan" ], [ "4", "Hapoel Holon", "0", "1", "nan" ], [ "4", "Maccabi Ashdod", "0", "1", "nan" ] ]
[ "Maccabi Tel Aviv", "Hapoel Jerusalem", "Ironi Ashkelon", "Maccabi Rishon LeZion", "Ironi Nahariya", "Hapoel Holon", "Maccabi Ashdod" ]
what teams are in the israeli basketball league cup? ||
nt-13664
col : place | team | titles | runners-up | winning years row 1 : 1 | maccabi tel aviv | 5 | 1 | 2007, 2010, 2011, 2012, 2013 row 2 : 2 | hapoel jerusalem | 2 | 3 | 2008, 2009 row 3 : 3 | ironi ashkelon | 1 | 0 | 2006 row 4 : 4 | maccabi rishon lezion | 0 | 1 | nan row 5 : 4 | ironi nahariya | 0 | 1 | nan row 6 : 4 | hapoel holon | 0 | 1 | nan row 7 : 4 | maccabi ashdod | 0 | 1 | nan
table_csv/204_129.csv
1
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 1, 2 ] }
[ "what teams are in the israeli basketball league cup?", "of those teams, which had winning years?" ]
1
maccabi tel aviv, hapoel jerusalem, ironi ashkelon
[ "Place", "Team", "Titles", "Runners-up", "Winning Years" ]
of those teams, which had winning years?
[ [ "1", "Maccabi Tel Aviv", "5", "1", "2007, 2010, 2011, 2012, 2013" ], [ "2", "Hapoel Jerusalem", "2", "3", "2008, 2009" ], [ "3", "Ironi Ashkelon", "1", "0", "2006" ], [ "4", "Maccabi Rishon LeZion", "0", "1", "nan" ], [ "4", "Ironi Nahariya", "0", "1", "nan" ], [ "4", "Hapoel Holon", "0", "1", "nan" ], [ "4", "Maccabi Ashdod", "0", "1", "nan" ] ]
[ "Maccabi Tel Aviv", "Hapoel Jerusalem", "Ironi Ashkelon" ]
of those teams, which had winning years? || what teams are in the israeli basketball league cup?
nt-13664
col : place | team | titles | runners-up | winning years row 1 : 1 | maccabi tel aviv | 5 | 1 | 2007, 2010, 2011, 2012, 2013 row 2 : 2 | hapoel jerusalem | 2 | 3 | 2008, 2009 row 3 : 3 | ironi ashkelon | 1 | 0 | 2006 row 4 : 4 | maccabi rishon lezion | 0 | 1 | nan row 5 : 4 | ironi nahariya | 0 | 1 | nan row 6 : 4 | hapoel holon | 0 | 1 | nan row 7 : 4 | maccabi ashdod | 0 | 1 | nan
table_csv/204_129.csv
2
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what teams are in the israeli basketball league cup?", "of those teams, which had winning years?", "of those teams, which had 2008 & 2009 as winning years?" ]
1
hapoel jerusalem
[ "Place", "Team", "Titles", "Runners-up", "Winning Years" ]
of those teams, which had 2008 & 2009 as winning years?
[ [ "1", "Maccabi Tel Aviv", "5", "1", "2007, 2010, 2011, 2012, 2013" ], [ "2", "Hapoel Jerusalem", "2", "3", "2008, 2009" ], [ "3", "Ironi Ashkelon", "1", "0", "2006" ], [ "4", "Maccabi Rishon LeZion", "0", "1", "nan" ], [ "4", "Ironi Nahariya", "0", "1", "nan" ], [ "4", "Hapoel Holon", "0", "1", "nan" ], [ "4", "Maccabi Ashdod", "0", "1", "nan" ] ]
[ "Hapoel Jerusalem" ]
of those teams, which had 2008 & 2009 as winning years? || of those teams, which had winning years? | what teams are in the israeli basketball league cup?
nt-13664
col : place | team | titles | runners-up | winning years row 1 : 1 | maccabi tel aviv | 5 | 1 | 2007, 2010, 2011, 2012, 2013 row 2 : 2 | hapoel jerusalem | 2 | 3 | 2008, 2009 row 3 : 3 | ironi ashkelon | 1 | 0 | 2006 row 4 : 4 | maccabi rishon lezion | 0 | 1 | nan row 5 : 4 | ironi nahariya | 0 | 1 | nan row 6 : 4 | hapoel holon | 0 | 1 | nan row 7 : 4 | maccabi ashdod | 0 | 1 | nan
table_csv/204_129.csv
0
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 1, 2 ] }
[ "which teams have won titles?" ]
2
maccabi tel aviv, hapoel jerusalem, ironi ashkelon
[ "Place", "Team", "Titles", "Runners-up", "Winning Years" ]
which teams have won titles?
[ [ "1", "Maccabi Tel Aviv", "5", "1", "2007, 2010, 2011, 2012, 2013" ], [ "2", "Hapoel Jerusalem", "2", "3", "2008, 2009" ], [ "3", "Ironi Ashkelon", "1", "0", "2006" ], [ "4", "Maccabi Rishon LeZion", "0", "1", "nan" ], [ "4", "Ironi Nahariya", "0", "1", "nan" ], [ "4", "Hapoel Holon", "0", "1", "nan" ], [ "4", "Maccabi Ashdod", "0", "1", "nan" ] ]
[ "Maccabi Tel Aviv", "Hapoel Jerusalem", "Ironi Ashkelon" ]
which teams have won titles? ||
nt-13664
col : place | team | titles | runners-up | winning years row 1 : 1 | maccabi tel aviv | 5 | 1 | 2007, 2010, 2011, 2012, 2013 row 2 : 2 | hapoel jerusalem | 2 | 3 | 2008, 2009 row 3 : 3 | ironi ashkelon | 1 | 0 | 2006 row 4 : 4 | maccabi rishon lezion | 0 | 1 | nan row 5 : 4 | ironi nahariya | 0 | 1 | nan row 6 : 4 | hapoel holon | 0 | 1 | nan row 7 : 4 | maccabi ashdod | 0 | 1 | nan
table_csv/204_129.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which teams have won titles?", "of these teams, which team has won in 2009?" ]
2
hapoel jerusalem
[ "Place", "Team", "Titles", "Runners-up", "Winning Years" ]
of these teams, which team has won in 2009?
[ [ "1", "Maccabi Tel Aviv", "5", "1", "2007, 2010, 2011, 2012, 2013" ], [ "2", "Hapoel Jerusalem", "2", "3", "2008, 2009" ], [ "3", "Ironi Ashkelon", "1", "0", "2006" ], [ "4", "Maccabi Rishon LeZion", "0", "1", "nan" ], [ "4", "Ironi Nahariya", "0", "1", "nan" ], [ "4", "Hapoel Holon", "0", "1", "nan" ], [ "4", "Maccabi Ashdod", "0", "1", "nan" ] ]
[ "Hapoel Jerusalem" ]
of these teams, which team has won in 2009? || which teams have won titles?
nt-13663
col : week | opponent | result | game site | tv | time | attendance row 1 : 1 | at denver broncos | l 3-19 | mile high stadium | nbc | 4:15pm | 75,600 row 2 : 2 | at oakland raiders | w 28-27 | network associates coliseum | abc | 9:00pm | 61,523 row 3 : 3 | buffalo bills | w 22-16 | arrowhead stadium | nbc | 1:00pm | 78,169 row 4 : 4 | at carolina panthers | w 35-14 | bank of america stadium | nbc | 1:00pm | 67,402 row 5 : 5 | seattle seahawks | w 20-17 ot | arrowhead stadium | nbc | 4:15pm | 77,877 row 6 : 6 | at miami dolphins | l 14-17 | pro player stadium | nbc | 1:00pm | 71,794 row 7 : 7 | bye | bye | bye | bye | bye | bye row 8 : 8 | san diego chargers | w 31-3 | arrowhead stadium | tnt | 8:00pm | 77,195 row 9 : 9 | at st. louis rams | w 28-20 | edward jones dome | nbc | 1:00pm | 64,864 row 10 : 10 | pittsburgh steelers | w 13-10 | arrowhead stadium | abc | 9:00pm | 78,301 row 11 : 11 | at jacksonville jaguars | l 14-24 | alltel stadium | nbc | 1:00pm | 70,444 row 12 : 12 | denver broncos | w 24-22 | arrowhead stadium | nbc | 1:00pm | 77,963 row 13 : 13 | at seattle seahawks | w 19-14 | kingdome | nbc | 4:15pm | 66,264 row 14 : 14 | san francisco 49ers | w 44-9 | arrowhead stadium | fox | 1:00pm | 77,535 row 15 : 15 | oakland raiders | w 30-0 | arrowhead stadium | nbc | 1:00pm | 76,379 row 16 : 16 | at san diego chargers | w 29-7 | qualcomm stadium | nbc | 4:15pm | 54,594 row 17 : 17 | new orleans saints | w 25-13 | arrowhead stadium | fox | 1:00pm | 66,772 row 18 : divisional playoff | denver broncos | l 10-14 | arrowhead stadium | nbc | 4:15pm | 76,965
table_csv/204_936.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] }
[ "who were all of the opponents?" ]
0
at denver broncos, at oakland raiders, buffalo bills, at carolina panthers, seattle seahawks, at miami dolphins, bye, san diego chargers, at st. louis rams, pittsburgh steelers, at jacksonville jaguars, denver broncos, at seattle seahawks, san francisco 49ers, oakland raiders, at san diego chargers, new orleans saints, denver broncos
[ "Week", "Opponent", "Result", "Game site", "TV", "Time", "Attendance" ]
who were all of the opponents?
[ [ "1", "at Denver Broncos", "L 3-19", "Mile High Stadium", "NBC", "4:15pm", "75,600" ], [ "2", "at Oakland Raiders", "W 28-27", "Network Associates Coliseum", "ABC", "9:00pm", "61,523" ], [ "3", "Buffalo Bills", "W 22-16", "Arrowhead Stadium", "NBC", "1:00pm", "78,169" ], [ "4", "at Carolina Panthers", "W 35-14", "Bank of America Stadium", "NBC", "1:00pm", "67,402" ], [ "5", "Seattle Seahawks", "W 20-17 OT", "Arrowhead Stadium", "NBC", "4:15pm", "77,877" ], [ "6", "at Miami Dolphins", "L 14-17", "Pro Player Stadium", "NBC", "1:00pm", "71,794" ], [ "7", "Bye", "Bye", "Bye", "Bye", "Bye", "Bye" ], [ "8", "San Diego Chargers", "W 31-3", "Arrowhead Stadium", "TNT", "8:00pm", "77,195" ], [ "9", "at St. Louis Rams", "W 28-20", "Edward Jones Dome", "NBC", "1:00pm", "64,864" ], [ "10", "Pittsburgh Steelers", "W 13-10", "Arrowhead Stadium", "ABC", "9:00pm", "78,301" ], [ "11", "at Jacksonville Jaguars", "L 14-24", "ALLTEL Stadium", "NBC", "1:00pm", "70,444" ], [ "12", "Denver Broncos", "W 24-22", "Arrowhead Stadium", "NBC", "1:00pm", "77,963" ], [ "13", "at Seattle Seahawks", "W 19-14", "Kingdome", "NBC", "4:15pm", "66,264" ], [ "14", "San Francisco 49ers", "W 44-9", "Arrowhead Stadium", "FOX", "1:00pm", "77,535" ], [ "15", "Oakland Raiders", "W 30-0", "Arrowhead Stadium", "NBC", "1:00pm", "76,379" ], [ "16", "at San Diego Chargers", "W 29-7", "Qualcomm Stadium", "NBC", "4:15pm", "54,594" ], [ "17", "New Orleans Saints", "W 25-13", "Arrowhead Stadium", "FOX", "1:00pm", "66,772" ], [ "Divisional Playoff", "Denver Broncos", "L 10-14", "Arrowhead Stadium", "NBC", "4:15pm", "76,965" ] ]
[ "at Denver Broncos", "at Oakland Raiders", "Buffalo Bills", "at Carolina Panthers", "Seattle Seahawks", "at Miami Dolphins", "Bye", "San Diego Chargers", "at St. Louis Rams", "Pittsburgh Steelers", "at Jacksonville Jaguars", "Denver Broncos", "at Seattle Seahawks", "San Francisco 49ers", "Oakland Raiders", "at San Diego Chargers", "New Orleans Saints", "Denver Broncos" ]
who were all of the opponents? ||
nt-13663
col : week | opponent | result | game site | tv | time | attendance row 1 : 1 | at denver broncos | l 3-19 | mile high stadium | nbc | 4:15pm | 75,600 row 2 : 2 | at oakland raiders | w 28-27 | network associates coliseum | abc | 9:00pm | 61,523 row 3 : 3 | buffalo bills | w 22-16 | arrowhead stadium | nbc | 1:00pm | 78,169 row 4 : 4 | at carolina panthers | w 35-14 | bank of america stadium | nbc | 1:00pm | 67,402 row 5 : 5 | seattle seahawks | w 20-17 ot | arrowhead stadium | nbc | 4:15pm | 77,877 row 6 : 6 | at miami dolphins | l 14-17 | pro player stadium | nbc | 1:00pm | 71,794 row 7 : 7 | bye | bye | bye | bye | bye | bye row 8 : 8 | san diego chargers | w 31-3 | arrowhead stadium | tnt | 8:00pm | 77,195 row 9 : 9 | at st. louis rams | w 28-20 | edward jones dome | nbc | 1:00pm | 64,864 row 10 : 10 | pittsburgh steelers | w 13-10 | arrowhead stadium | abc | 9:00pm | 78,301 row 11 : 11 | at jacksonville jaguars | l 14-24 | alltel stadium | nbc | 1:00pm | 70,444 row 12 : 12 | denver broncos | w 24-22 | arrowhead stadium | nbc | 1:00pm | 77,963 row 13 : 13 | at seattle seahawks | w 19-14 | kingdome | nbc | 4:15pm | 66,264 row 14 : 14 | san francisco 49ers | w 44-9 | arrowhead stadium | fox | 1:00pm | 77,535 row 15 : 15 | oakland raiders | w 30-0 | arrowhead stadium | nbc | 1:00pm | 76,379 row 16 : 16 | at san diego chargers | w 29-7 | qualcomm stadium | nbc | 4:15pm | 54,594 row 17 : 17 | new orleans saints | w 25-13 | arrowhead stadium | fox | 1:00pm | 66,772 row 18 : divisional playoff | denver broncos | l 10-14 | arrowhead stadium | nbc | 4:15pm | 76,965
table_csv/204_936.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] }
[ "who were all of the opponents?", "what were the results?" ]
0
l 3-19, w 28-27, w 22-16, w 35-14, w 20-17 ot, l 14-17, bye, w 31-3, w 28-20, w 13-10, l 14-24, w 24-22, w 19-14, w 44-9, w 30-0, w 29-7, w 25-13, l 10-14
[ "Week", "Opponent", "Result", "Game site", "TV", "Time", "Attendance" ]
what were the results?
[ [ "1", "at Denver Broncos", "L 3-19", "Mile High Stadium", "NBC", "4:15pm", "75,600" ], [ "2", "at Oakland Raiders", "W 28-27", "Network Associates Coliseum", "ABC", "9:00pm", "61,523" ], [ "3", "Buffalo Bills", "W 22-16", "Arrowhead Stadium", "NBC", "1:00pm", "78,169" ], [ "4", "at Carolina Panthers", "W 35-14", "Bank of America Stadium", "NBC", "1:00pm", "67,402" ], [ "5", "Seattle Seahawks", "W 20-17 OT", "Arrowhead Stadium", "NBC", "4:15pm", "77,877" ], [ "6", "at Miami Dolphins", "L 14-17", "Pro Player Stadium", "NBC", "1:00pm", "71,794" ], [ "7", "Bye", "Bye", "Bye", "Bye", "Bye", "Bye" ], [ "8", "San Diego Chargers", "W 31-3", "Arrowhead Stadium", "TNT", "8:00pm", "77,195" ], [ "9", "at St. Louis Rams", "W 28-20", "Edward Jones Dome", "NBC", "1:00pm", "64,864" ], [ "10", "Pittsburgh Steelers", "W 13-10", "Arrowhead Stadium", "ABC", "9:00pm", "78,301" ], [ "11", "at Jacksonville Jaguars", "L 14-24", "ALLTEL Stadium", "NBC", "1:00pm", "70,444" ], [ "12", "Denver Broncos", "W 24-22", "Arrowhead Stadium", "NBC", "1:00pm", "77,963" ], [ "13", "at Seattle Seahawks", "W 19-14", "Kingdome", "NBC", "4:15pm", "66,264" ], [ "14", "San Francisco 49ers", "W 44-9", "Arrowhead Stadium", "FOX", "1:00pm", "77,535" ], [ "15", "Oakland Raiders", "W 30-0", "Arrowhead Stadium", "NBC", "1:00pm", "76,379" ], [ "16", "at San Diego Chargers", "W 29-7", "Qualcomm Stadium", "NBC", "4:15pm", "54,594" ], [ "17", "New Orleans Saints", "W 25-13", "Arrowhead Stadium", "FOX", "1:00pm", "66,772" ], [ "Divisional Playoff", "Denver Broncos", "L 10-14", "Arrowhead Stadium", "NBC", "4:15pm", "76,965" ] ]
[ "L 3-19", "W 28-27", "W 22-16", "W 35-14", "W 20-17 OT", "L 14-17", "Bye", "W 31-3", "W 28-20", "W 13-10", "L 14-24", "W 24-22", "W 19-14", "W 44-9", "W 30-0", "W 29-7", "W 25-13", "L 10-14" ]
what were the results? || who were all of the opponents?
nt-13663
col : week | opponent | result | game site | tv | time | attendance row 1 : 1 | at denver broncos | l 3-19 | mile high stadium | nbc | 4:15pm | 75,600 row 2 : 2 | at oakland raiders | w 28-27 | network associates coliseum | abc | 9:00pm | 61,523 row 3 : 3 | buffalo bills | w 22-16 | arrowhead stadium | nbc | 1:00pm | 78,169 row 4 : 4 | at carolina panthers | w 35-14 | bank of america stadium | nbc | 1:00pm | 67,402 row 5 : 5 | seattle seahawks | w 20-17 ot | arrowhead stadium | nbc | 4:15pm | 77,877 row 6 : 6 | at miami dolphins | l 14-17 | pro player stadium | nbc | 1:00pm | 71,794 row 7 : 7 | bye | bye | bye | bye | bye | bye row 8 : 8 | san diego chargers | w 31-3 | arrowhead stadium | tnt | 8:00pm | 77,195 row 9 : 9 | at st. louis rams | w 28-20 | edward jones dome | nbc | 1:00pm | 64,864 row 10 : 10 | pittsburgh steelers | w 13-10 | arrowhead stadium | abc | 9:00pm | 78,301 row 11 : 11 | at jacksonville jaguars | l 14-24 | alltel stadium | nbc | 1:00pm | 70,444 row 12 : 12 | denver broncos | w 24-22 | arrowhead stadium | nbc | 1:00pm | 77,963 row 13 : 13 | at seattle seahawks | w 19-14 | kingdome | nbc | 4:15pm | 66,264 row 14 : 14 | san francisco 49ers | w 44-9 | arrowhead stadium | fox | 1:00pm | 77,535 row 15 : 15 | oakland raiders | w 30-0 | arrowhead stadium | nbc | 1:00pm | 76,379 row 16 : 16 | at san diego chargers | w 29-7 | qualcomm stadium | nbc | 4:15pm | 54,594 row 17 : 17 | new orleans saints | w 25-13 | arrowhead stadium | fox | 1:00pm | 66,772 row 18 : divisional playoff | denver broncos | l 10-14 | arrowhead stadium | nbc | 4:15pm | 76,965
table_csv/204_936.csv
2
{ "column_index": [ 1 ], "row_index": [ 13 ] }
[ "who were all of the opponents?", "what were the results?", "against which team did they score the most points?" ]
0
san francisco 49ers
[ "Week", "Opponent", "Result", "Game site", "TV", "Time", "Attendance" ]
against which team did they score the most points?
[ [ "1", "at Denver Broncos", "L 3-19", "Mile High Stadium", "NBC", "4:15pm", "75,600" ], [ "2", "at Oakland Raiders", "W 28-27", "Network Associates Coliseum", "ABC", "9:00pm", "61,523" ], [ "3", "Buffalo Bills", "W 22-16", "Arrowhead Stadium", "NBC", "1:00pm", "78,169" ], [ "4", "at Carolina Panthers", "W 35-14", "Bank of America Stadium", "NBC", "1:00pm", "67,402" ], [ "5", "Seattle Seahawks", "W 20-17 OT", "Arrowhead Stadium", "NBC", "4:15pm", "77,877" ], [ "6", "at Miami Dolphins", "L 14-17", "Pro Player Stadium", "NBC", "1:00pm", "71,794" ], [ "7", "Bye", "Bye", "Bye", "Bye", "Bye", "Bye" ], [ "8", "San Diego Chargers", "W 31-3", "Arrowhead Stadium", "TNT", "8:00pm", "77,195" ], [ "9", "at St. Louis Rams", "W 28-20", "Edward Jones Dome", "NBC", "1:00pm", "64,864" ], [ "10", "Pittsburgh Steelers", "W 13-10", "Arrowhead Stadium", "ABC", "9:00pm", "78,301" ], [ "11", "at Jacksonville Jaguars", "L 14-24", "ALLTEL Stadium", "NBC", "1:00pm", "70,444" ], [ "12", "Denver Broncos", "W 24-22", "Arrowhead Stadium", "NBC", "1:00pm", "77,963" ], [ "13", "at Seattle Seahawks", "W 19-14", "Kingdome", "NBC", "4:15pm", "66,264" ], [ "14", "San Francisco 49ers", "W 44-9", "Arrowhead Stadium", "FOX", "1:00pm", "77,535" ], [ "15", "Oakland Raiders", "W 30-0", "Arrowhead Stadium", "NBC", "1:00pm", "76,379" ], [ "16", "at San Diego Chargers", "W 29-7", "Qualcomm Stadium", "NBC", "4:15pm", "54,594" ], [ "17", "New Orleans Saints", "W 25-13", "Arrowhead Stadium", "FOX", "1:00pm", "66,772" ], [ "Divisional Playoff", "Denver Broncos", "L 10-14", "Arrowhead Stadium", "NBC", "4:15pm", "76,965" ] ]
[ "San Francisco 49ers" ]
against which team did they score the most points? || what were the results? | who were all of the opponents?
nt-13663
col : week | opponent | result | game site | tv | time | attendance row 1 : 1 | at denver broncos | l 3-19 | mile high stadium | nbc | 4:15pm | 75,600 row 2 : 2 | at oakland raiders | w 28-27 | network associates coliseum | abc | 9:00pm | 61,523 row 3 : 3 | buffalo bills | w 22-16 | arrowhead stadium | nbc | 1:00pm | 78,169 row 4 : 4 | at carolina panthers | w 35-14 | bank of america stadium | nbc | 1:00pm | 67,402 row 5 : 5 | seattle seahawks | w 20-17 ot | arrowhead stadium | nbc | 4:15pm | 77,877 row 6 : 6 | at miami dolphins | l 14-17 | pro player stadium | nbc | 1:00pm | 71,794 row 7 : 7 | bye | bye | bye | bye | bye | bye row 8 : 8 | san diego chargers | w 31-3 | arrowhead stadium | tnt | 8:00pm | 77,195 row 9 : 9 | at st. louis rams | w 28-20 | edward jones dome | nbc | 1:00pm | 64,864 row 10 : 10 | pittsburgh steelers | w 13-10 | arrowhead stadium | abc | 9:00pm | 78,301 row 11 : 11 | at jacksonville jaguars | l 14-24 | alltel stadium | nbc | 1:00pm | 70,444 row 12 : 12 | denver broncos | w 24-22 | arrowhead stadium | nbc | 1:00pm | 77,963 row 13 : 13 | at seattle seahawks | w 19-14 | kingdome | nbc | 4:15pm | 66,264 row 14 : 14 | san francisco 49ers | w 44-9 | arrowhead stadium | fox | 1:00pm | 77,535 row 15 : 15 | oakland raiders | w 30-0 | arrowhead stadium | nbc | 1:00pm | 76,379 row 16 : 16 | at san diego chargers | w 29-7 | qualcomm stadium | nbc | 4:15pm | 54,594 row 17 : 17 | new orleans saints | w 25-13 | arrowhead stadium | fox | 1:00pm | 66,772 row 18 : divisional playoff | denver broncos | l 10-14 | arrowhead stadium | nbc | 4:15pm | 76,965
table_csv/204_936.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ] }
[ "which were all of the results in the 1997 chief's season?" ]
1
l 3-19, w 28-27, w 22-16, w 35-14, w 20-17 ot, l 14-17, w 31-3, w 28-20, w 13-10, l 14-24, w 24-22, w 19-14, w 44-9, w 30-0, w 29-7, w 25-13, l 10-14
[ "Week", "Opponent", "Result", "Game site", "TV", "Time", "Attendance" ]
which were all of the results in the 1997 chief's season?
[ [ "1", "at Denver Broncos", "L 3-19", "Mile High Stadium", "NBC", "4:15pm", "75,600" ], [ "2", "at Oakland Raiders", "W 28-27", "Network Associates Coliseum", "ABC", "9:00pm", "61,523" ], [ "3", "Buffalo Bills", "W 22-16", "Arrowhead Stadium", "NBC", "1:00pm", "78,169" ], [ "4", "at Carolina Panthers", "W 35-14", "Bank of America Stadium", "NBC", "1:00pm", "67,402" ], [ "5", "Seattle Seahawks", "W 20-17 OT", "Arrowhead Stadium", "NBC", "4:15pm", "77,877" ], [ "6", "at Miami Dolphins", "L 14-17", "Pro Player Stadium", "NBC", "1:00pm", "71,794" ], [ "7", "Bye", "Bye", "Bye", "Bye", "Bye", "Bye" ], [ "8", "San Diego Chargers", "W 31-3", "Arrowhead Stadium", "TNT", "8:00pm", "77,195" ], [ "9", "at St. Louis Rams", "W 28-20", "Edward Jones Dome", "NBC", "1:00pm", "64,864" ], [ "10", "Pittsburgh Steelers", "W 13-10", "Arrowhead Stadium", "ABC", "9:00pm", "78,301" ], [ "11", "at Jacksonville Jaguars", "L 14-24", "ALLTEL Stadium", "NBC", "1:00pm", "70,444" ], [ "12", "Denver Broncos", "W 24-22", "Arrowhead Stadium", "NBC", "1:00pm", "77,963" ], [ "13", "at Seattle Seahawks", "W 19-14", "Kingdome", "NBC", "4:15pm", "66,264" ], [ "14", "San Francisco 49ers", "W 44-9", "Arrowhead Stadium", "FOX", "1:00pm", "77,535" ], [ "15", "Oakland Raiders", "W 30-0", "Arrowhead Stadium", "NBC", "1:00pm", "76,379" ], [ "16", "at San Diego Chargers", "W 29-7", "Qualcomm Stadium", "NBC", "4:15pm", "54,594" ], [ "17", "New Orleans Saints", "W 25-13", "Arrowhead Stadium", "FOX", "1:00pm", "66,772" ], [ "Divisional Playoff", "Denver Broncos", "L 10-14", "Arrowhead Stadium", "NBC", "4:15pm", "76,965" ] ]
[ "L 3-19", "W 28-27", "W 22-16", "W 35-14", "W 20-17 OT", "L 14-17", "W 31-3", "W 28-20", "W 13-10", "L 14-24", "W 24-22", "W 19-14", "W 44-9", "W 30-0", "W 29-7", "W 25-13", "L 10-14" ]
which were all of the results in the 1997 chief's season? ||
nt-13663
col : week | opponent | result | game site | tv | time | attendance row 1 : 1 | at denver broncos | l 3-19 | mile high stadium | nbc | 4:15pm | 75,600 row 2 : 2 | at oakland raiders | w 28-27 | network associates coliseum | abc | 9:00pm | 61,523 row 3 : 3 | buffalo bills | w 22-16 | arrowhead stadium | nbc | 1:00pm | 78,169 row 4 : 4 | at carolina panthers | w 35-14 | bank of america stadium | nbc | 1:00pm | 67,402 row 5 : 5 | seattle seahawks | w 20-17 ot | arrowhead stadium | nbc | 4:15pm | 77,877 row 6 : 6 | at miami dolphins | l 14-17 | pro player stadium | nbc | 1:00pm | 71,794 row 7 : 7 | bye | bye | bye | bye | bye | bye row 8 : 8 | san diego chargers | w 31-3 | arrowhead stadium | tnt | 8:00pm | 77,195 row 9 : 9 | at st. louis rams | w 28-20 | edward jones dome | nbc | 1:00pm | 64,864 row 10 : 10 | pittsburgh steelers | w 13-10 | arrowhead stadium | abc | 9:00pm | 78,301 row 11 : 11 | at jacksonville jaguars | l 14-24 | alltel stadium | nbc | 1:00pm | 70,444 row 12 : 12 | denver broncos | w 24-22 | arrowhead stadium | nbc | 1:00pm | 77,963 row 13 : 13 | at seattle seahawks | w 19-14 | kingdome | nbc | 4:15pm | 66,264 row 14 : 14 | san francisco 49ers | w 44-9 | arrowhead stadium | fox | 1:00pm | 77,535 row 15 : 15 | oakland raiders | w 30-0 | arrowhead stadium | nbc | 1:00pm | 76,379 row 16 : 16 | at san diego chargers | w 29-7 | qualcomm stadium | nbc | 4:15pm | 54,594 row 17 : 17 | new orleans saints | w 25-13 | arrowhead stadium | fox | 1:00pm | 66,772 row 18 : divisional playoff | denver broncos | l 10-14 | arrowhead stadium | nbc | 4:15pm | 76,965
table_csv/204_936.csv
1
{ "column_index": [ 2 ], "row_index": [ 13 ] }
[ "which were all of the results in the 1997 chief's season?", "which result had the highest number of point scored by the chiefs?" ]
1
w 44-9
[ "Week", "Opponent", "Result", "Game site", "TV", "Time", "Attendance" ]
which result had the highest number of point scored by the chiefs?
[ [ "1", "at Denver Broncos", "L 3-19", "Mile High Stadium", "NBC", "4:15pm", "75,600" ], [ "2", "at Oakland Raiders", "W 28-27", "Network Associates Coliseum", "ABC", "9:00pm", "61,523" ], [ "3", "Buffalo Bills", "W 22-16", "Arrowhead Stadium", "NBC", "1:00pm", "78,169" ], [ "4", "at Carolina Panthers", "W 35-14", "Bank of America Stadium", "NBC", "1:00pm", "67,402" ], [ "5", "Seattle Seahawks", "W 20-17 OT", "Arrowhead Stadium", "NBC", "4:15pm", "77,877" ], [ "6", "at Miami Dolphins", "L 14-17", "Pro Player Stadium", "NBC", "1:00pm", "71,794" ], [ "7", "Bye", "Bye", "Bye", "Bye", "Bye", "Bye" ], [ "8", "San Diego Chargers", "W 31-3", "Arrowhead Stadium", "TNT", "8:00pm", "77,195" ], [ "9", "at St. Louis Rams", "W 28-20", "Edward Jones Dome", "NBC", "1:00pm", "64,864" ], [ "10", "Pittsburgh Steelers", "W 13-10", "Arrowhead Stadium", "ABC", "9:00pm", "78,301" ], [ "11", "at Jacksonville Jaguars", "L 14-24", "ALLTEL Stadium", "NBC", "1:00pm", "70,444" ], [ "12", "Denver Broncos", "W 24-22", "Arrowhead Stadium", "NBC", "1:00pm", "77,963" ], [ "13", "at Seattle Seahawks", "W 19-14", "Kingdome", "NBC", "4:15pm", "66,264" ], [ "14", "San Francisco 49ers", "W 44-9", "Arrowhead Stadium", "FOX", "1:00pm", "77,535" ], [ "15", "Oakland Raiders", "W 30-0", "Arrowhead Stadium", "NBC", "1:00pm", "76,379" ], [ "16", "at San Diego Chargers", "W 29-7", "Qualcomm Stadium", "NBC", "4:15pm", "54,594" ], [ "17", "New Orleans Saints", "W 25-13", "Arrowhead Stadium", "FOX", "1:00pm", "66,772" ], [ "Divisional Playoff", "Denver Broncos", "L 10-14", "Arrowhead Stadium", "NBC", "4:15pm", "76,965" ] ]
[ "W 44-9" ]
which result had the highest number of point scored by the chiefs? || which were all of the results in the 1997 chief's season?
nt-13663
col : week | opponent | result | game site | tv | time | attendance row 1 : 1 | at denver broncos | l 3-19 | mile high stadium | nbc | 4:15pm | 75,600 row 2 : 2 | at oakland raiders | w 28-27 | network associates coliseum | abc | 9:00pm | 61,523 row 3 : 3 | buffalo bills | w 22-16 | arrowhead stadium | nbc | 1:00pm | 78,169 row 4 : 4 | at carolina panthers | w 35-14 | bank of america stadium | nbc | 1:00pm | 67,402 row 5 : 5 | seattle seahawks | w 20-17 ot | arrowhead stadium | nbc | 4:15pm | 77,877 row 6 : 6 | at miami dolphins | l 14-17 | pro player stadium | nbc | 1:00pm | 71,794 row 7 : 7 | bye | bye | bye | bye | bye | bye row 8 : 8 | san diego chargers | w 31-3 | arrowhead stadium | tnt | 8:00pm | 77,195 row 9 : 9 | at st. louis rams | w 28-20 | edward jones dome | nbc | 1:00pm | 64,864 row 10 : 10 | pittsburgh steelers | w 13-10 | arrowhead stadium | abc | 9:00pm | 78,301 row 11 : 11 | at jacksonville jaguars | l 14-24 | alltel stadium | nbc | 1:00pm | 70,444 row 12 : 12 | denver broncos | w 24-22 | arrowhead stadium | nbc | 1:00pm | 77,963 row 13 : 13 | at seattle seahawks | w 19-14 | kingdome | nbc | 4:15pm | 66,264 row 14 : 14 | san francisco 49ers | w 44-9 | arrowhead stadium | fox | 1:00pm | 77,535 row 15 : 15 | oakland raiders | w 30-0 | arrowhead stadium | nbc | 1:00pm | 76,379 row 16 : 16 | at san diego chargers | w 29-7 | qualcomm stadium | nbc | 4:15pm | 54,594 row 17 : 17 | new orleans saints | w 25-13 | arrowhead stadium | fox | 1:00pm | 66,772 row 18 : divisional playoff | denver broncos | l 10-14 | arrowhead stadium | nbc | 4:15pm | 76,965
table_csv/204_936.csv
2
{ "column_index": [ 1 ], "row_index": [ 13 ] }
[ "which were all of the results in the 1997 chief's season?", "which result had the highest number of point scored by the chiefs?", "which team did they score these points against?" ]
1
san francisco 49ers
[ "Week", "Opponent", "Result", "Game site", "TV", "Time", "Attendance" ]
which team did they score these points against?
[ [ "1", "at Denver Broncos", "L 3-19", "Mile High Stadium", "NBC", "4:15pm", "75,600" ], [ "2", "at Oakland Raiders", "W 28-27", "Network Associates Coliseum", "ABC", "9:00pm", "61,523" ], [ "3", "Buffalo Bills", "W 22-16", "Arrowhead Stadium", "NBC", "1:00pm", "78,169" ], [ "4", "at Carolina Panthers", "W 35-14", "Bank of America Stadium", "NBC", "1:00pm", "67,402" ], [ "5", "Seattle Seahawks", "W 20-17 OT", "Arrowhead Stadium", "NBC", "4:15pm", "77,877" ], [ "6", "at Miami Dolphins", "L 14-17", "Pro Player Stadium", "NBC", "1:00pm", "71,794" ], [ "7", "Bye", "Bye", "Bye", "Bye", "Bye", "Bye" ], [ "8", "San Diego Chargers", "W 31-3", "Arrowhead Stadium", "TNT", "8:00pm", "77,195" ], [ "9", "at St. Louis Rams", "W 28-20", "Edward Jones Dome", "NBC", "1:00pm", "64,864" ], [ "10", "Pittsburgh Steelers", "W 13-10", "Arrowhead Stadium", "ABC", "9:00pm", "78,301" ], [ "11", "at Jacksonville Jaguars", "L 14-24", "ALLTEL Stadium", "NBC", "1:00pm", "70,444" ], [ "12", "Denver Broncos", "W 24-22", "Arrowhead Stadium", "NBC", "1:00pm", "77,963" ], [ "13", "at Seattle Seahawks", "W 19-14", "Kingdome", "NBC", "4:15pm", "66,264" ], [ "14", "San Francisco 49ers", "W 44-9", "Arrowhead Stadium", "FOX", "1:00pm", "77,535" ], [ "15", "Oakland Raiders", "W 30-0", "Arrowhead Stadium", "NBC", "1:00pm", "76,379" ], [ "16", "at San Diego Chargers", "W 29-7", "Qualcomm Stadium", "NBC", "4:15pm", "54,594" ], [ "17", "New Orleans Saints", "W 25-13", "Arrowhead Stadium", "FOX", "1:00pm", "66,772" ], [ "Divisional Playoff", "Denver Broncos", "L 10-14", "Arrowhead Stadium", "NBC", "4:15pm", "76,965" ] ]
[ "San Francisco 49ers" ]
which team did they score these points against? || which result had the highest number of point scored by the chiefs? | which were all of the results in the 1997 chief's season?
nt-13663
col : week | opponent | result | game site | tv | time | attendance row 1 : 1 | at denver broncos | l 3-19 | mile high stadium | nbc | 4:15pm | 75,600 row 2 : 2 | at oakland raiders | w 28-27 | network associates coliseum | abc | 9:00pm | 61,523 row 3 : 3 | buffalo bills | w 22-16 | arrowhead stadium | nbc | 1:00pm | 78,169 row 4 : 4 | at carolina panthers | w 35-14 | bank of america stadium | nbc | 1:00pm | 67,402 row 5 : 5 | seattle seahawks | w 20-17 ot | arrowhead stadium | nbc | 4:15pm | 77,877 row 6 : 6 | at miami dolphins | l 14-17 | pro player stadium | nbc | 1:00pm | 71,794 row 7 : 7 | bye | bye | bye | bye | bye | bye row 8 : 8 | san diego chargers | w 31-3 | arrowhead stadium | tnt | 8:00pm | 77,195 row 9 : 9 | at st. louis rams | w 28-20 | edward jones dome | nbc | 1:00pm | 64,864 row 10 : 10 | pittsburgh steelers | w 13-10 | arrowhead stadium | abc | 9:00pm | 78,301 row 11 : 11 | at jacksonville jaguars | l 14-24 | alltel stadium | nbc | 1:00pm | 70,444 row 12 : 12 | denver broncos | w 24-22 | arrowhead stadium | nbc | 1:00pm | 77,963 row 13 : 13 | at seattle seahawks | w 19-14 | kingdome | nbc | 4:15pm | 66,264 row 14 : 14 | san francisco 49ers | w 44-9 | arrowhead stadium | fox | 1:00pm | 77,535 row 15 : 15 | oakland raiders | w 30-0 | arrowhead stadium | nbc | 1:00pm | 76,379 row 16 : 16 | at san diego chargers | w 29-7 | qualcomm stadium | nbc | 4:15pm | 54,594 row 17 : 17 | new orleans saints | w 25-13 | arrowhead stadium | fox | 1:00pm | 66,772 row 18 : divisional playoff | denver broncos | l 10-14 | arrowhead stadium | nbc | 4:15pm | 76,965
table_csv/204_936.csv
0
{ "column_index": [ 2 ], "row_index": [ 13 ] }
[ "what is the score in the result column with the highest first number?" ]
2
w 44-9
[ "Week", "Opponent", "Result", "Game site", "TV", "Time", "Attendance" ]
what is the score in the result column with the highest first number?
[ [ "1", "at Denver Broncos", "L 3-19", "Mile High Stadium", "NBC", "4:15pm", "75,600" ], [ "2", "at Oakland Raiders", "W 28-27", "Network Associates Coliseum", "ABC", "9:00pm", "61,523" ], [ "3", "Buffalo Bills", "W 22-16", "Arrowhead Stadium", "NBC", "1:00pm", "78,169" ], [ "4", "at Carolina Panthers", "W 35-14", "Bank of America Stadium", "NBC", "1:00pm", "67,402" ], [ "5", "Seattle Seahawks", "W 20-17 OT", "Arrowhead Stadium", "NBC", "4:15pm", "77,877" ], [ "6", "at Miami Dolphins", "L 14-17", "Pro Player Stadium", "NBC", "1:00pm", "71,794" ], [ "7", "Bye", "Bye", "Bye", "Bye", "Bye", "Bye" ], [ "8", "San Diego Chargers", "W 31-3", "Arrowhead Stadium", "TNT", "8:00pm", "77,195" ], [ "9", "at St. Louis Rams", "W 28-20", "Edward Jones Dome", "NBC", "1:00pm", "64,864" ], [ "10", "Pittsburgh Steelers", "W 13-10", "Arrowhead Stadium", "ABC", "9:00pm", "78,301" ], [ "11", "at Jacksonville Jaguars", "L 14-24", "ALLTEL Stadium", "NBC", "1:00pm", "70,444" ], [ "12", "Denver Broncos", "W 24-22", "Arrowhead Stadium", "NBC", "1:00pm", "77,963" ], [ "13", "at Seattle Seahawks", "W 19-14", "Kingdome", "NBC", "4:15pm", "66,264" ], [ "14", "San Francisco 49ers", "W 44-9", "Arrowhead Stadium", "FOX", "1:00pm", "77,535" ], [ "15", "Oakland Raiders", "W 30-0", "Arrowhead Stadium", "NBC", "1:00pm", "76,379" ], [ "16", "at San Diego Chargers", "W 29-7", "Qualcomm Stadium", "NBC", "4:15pm", "54,594" ], [ "17", "New Orleans Saints", "W 25-13", "Arrowhead Stadium", "FOX", "1:00pm", "66,772" ], [ "Divisional Playoff", "Denver Broncos", "L 10-14", "Arrowhead Stadium", "NBC", "4:15pm", "76,965" ] ]
[ "W 44-9" ]
what is the score in the result column with the highest first number? ||
nt-13663
col : week | opponent | result | game site | tv | time | attendance row 1 : 1 | at denver broncos | l 3-19 | mile high stadium | nbc | 4:15pm | 75,600 row 2 : 2 | at oakland raiders | w 28-27 | network associates coliseum | abc | 9:00pm | 61,523 row 3 : 3 | buffalo bills | w 22-16 | arrowhead stadium | nbc | 1:00pm | 78,169 row 4 : 4 | at carolina panthers | w 35-14 | bank of america stadium | nbc | 1:00pm | 67,402 row 5 : 5 | seattle seahawks | w 20-17 ot | arrowhead stadium | nbc | 4:15pm | 77,877 row 6 : 6 | at miami dolphins | l 14-17 | pro player stadium | nbc | 1:00pm | 71,794 row 7 : 7 | bye | bye | bye | bye | bye | bye row 8 : 8 | san diego chargers | w 31-3 | arrowhead stadium | tnt | 8:00pm | 77,195 row 9 : 9 | at st. louis rams | w 28-20 | edward jones dome | nbc | 1:00pm | 64,864 row 10 : 10 | pittsburgh steelers | w 13-10 | arrowhead stadium | abc | 9:00pm | 78,301 row 11 : 11 | at jacksonville jaguars | l 14-24 | alltel stadium | nbc | 1:00pm | 70,444 row 12 : 12 | denver broncos | w 24-22 | arrowhead stadium | nbc | 1:00pm | 77,963 row 13 : 13 | at seattle seahawks | w 19-14 | kingdome | nbc | 4:15pm | 66,264 row 14 : 14 | san francisco 49ers | w 44-9 | arrowhead stadium | fox | 1:00pm | 77,535 row 15 : 15 | oakland raiders | w 30-0 | arrowhead stadium | nbc | 1:00pm | 76,379 row 16 : 16 | at san diego chargers | w 29-7 | qualcomm stadium | nbc | 4:15pm | 54,594 row 17 : 17 | new orleans saints | w 25-13 | arrowhead stadium | fox | 1:00pm | 66,772 row 18 : divisional playoff | denver broncos | l 10-14 | arrowhead stadium | nbc | 4:15pm | 76,965
table_csv/204_936.csv
1
{ "column_index": [ 1 ], "row_index": [ 13 ] }
[ "what is the score in the result column with the highest first number?", "who was the opponent for the game with this score?" ]
2
san francisco 49ers
[ "Week", "Opponent", "Result", "Game site", "TV", "Time", "Attendance" ]
who was the opponent for the game with this score?
[ [ "1", "at Denver Broncos", "L 3-19", "Mile High Stadium", "NBC", "4:15pm", "75,600" ], [ "2", "at Oakland Raiders", "W 28-27", "Network Associates Coliseum", "ABC", "9:00pm", "61,523" ], [ "3", "Buffalo Bills", "W 22-16", "Arrowhead Stadium", "NBC", "1:00pm", "78,169" ], [ "4", "at Carolina Panthers", "W 35-14", "Bank of America Stadium", "NBC", "1:00pm", "67,402" ], [ "5", "Seattle Seahawks", "W 20-17 OT", "Arrowhead Stadium", "NBC", "4:15pm", "77,877" ], [ "6", "at Miami Dolphins", "L 14-17", "Pro Player Stadium", "NBC", "1:00pm", "71,794" ], [ "7", "Bye", "Bye", "Bye", "Bye", "Bye", "Bye" ], [ "8", "San Diego Chargers", "W 31-3", "Arrowhead Stadium", "TNT", "8:00pm", "77,195" ], [ "9", "at St. Louis Rams", "W 28-20", "Edward Jones Dome", "NBC", "1:00pm", "64,864" ], [ "10", "Pittsburgh Steelers", "W 13-10", "Arrowhead Stadium", "ABC", "9:00pm", "78,301" ], [ "11", "at Jacksonville Jaguars", "L 14-24", "ALLTEL Stadium", "NBC", "1:00pm", "70,444" ], [ "12", "Denver Broncos", "W 24-22", "Arrowhead Stadium", "NBC", "1:00pm", "77,963" ], [ "13", "at Seattle Seahawks", "W 19-14", "Kingdome", "NBC", "4:15pm", "66,264" ], [ "14", "San Francisco 49ers", "W 44-9", "Arrowhead Stadium", "FOX", "1:00pm", "77,535" ], [ "15", "Oakland Raiders", "W 30-0", "Arrowhead Stadium", "NBC", "1:00pm", "76,379" ], [ "16", "at San Diego Chargers", "W 29-7", "Qualcomm Stadium", "NBC", "4:15pm", "54,594" ], [ "17", "New Orleans Saints", "W 25-13", "Arrowhead Stadium", "FOX", "1:00pm", "66,772" ], [ "Divisional Playoff", "Denver Broncos", "L 10-14", "Arrowhead Stadium", "NBC", "4:15pm", "76,965" ] ]
[ "San Francisco 49ers" ]
who was the opponent for the game with this score? || what is the score in the result column with the highest first number?
nt-13068
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what is the name of each album?" ]
0
good deeds and dirty rags, fish heads and tails, hammer and tongs, goodbye mr. mackenzie, live on the day of storms, five, jezebel, the glory hole, the river sessions, the rattler: live '91'
[ "Year", "Album", "Territory", "Label", "Notes" ]
what is the name of each album?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Good Deeds and Dirty Rags", "Fish Heads and Tails", "Hammer and Tongs", "Goodbye Mr. Mackenzie", "Live on The Day of Storms", "Five", "Jezebel", "The Glory Hole", "The River Sessions", "The Rattler: Live '91'" ]
what is the name of each album? ||
nt-13068
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what is the name of each album?", "what notes do they have?" ]
0
debut album, reached no. 26 on uk albums chart, mid-price live and rarities compilation, second studio album; reached no. 61 on the uk albums chart, compilation of tracks from both albums, remixed, live album, third studio album, rarities compilation, fourth and final studio album: manson, scobie or duncan do not, double live album, live album (digital release)
[ "Year", "Album", "Territory", "Label", "Notes" ]
what notes do they have?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Debut album, reached No. 26 on UK Albums Chart", "Mid-price live and rarities compilation", "Second studio album; reached No. 61 on the UK Albums Chart", "Compilation of tracks from both albums, remixed", "Live album", "Third studio album", "Rarities compilation", "Fourth and final studio album: Manson, Scobie or Duncan do not", "Double live album", "Live album (Digital release)" ]
what notes do they have? || what is the name of each album?
nt-13068
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what is the name of each album?", "what notes do they have?", "and which charted highest?" ]
0
good deeds and dirty rags
[ "Year", "Album", "Territory", "Label", "Notes" ]
and which charted highest?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Good Deeds and Dirty Rags" ]
and which charted highest? || what notes do they have? | what is the name of each album?
nt-13068
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
0
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "which album hit numer 3 on the uk album chart?" ]
1
hammer and tongs
[ "Year", "Album", "Territory", "Label", "Notes" ]
which album hit numer 3 on the uk album chart?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Hammer and Tongs" ]
which album hit numer 3 on the uk album chart? ||
nt-13068
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which album hit numer 3 on the uk album chart?", "which album hit number 2?" ]
1
fish heads and tails
[ "Year", "Album", "Territory", "Label", "Notes" ]
which album hit number 2?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Fish Heads and Tails" ]
which album hit number 2? || which album hit numer 3 on the uk album chart?
nt-13068
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which album hit numer 3 on the uk album chart?", "which album hit number 2?", "which album came in first place?" ]
1
good deeds and dirty rags
[ "Year", "Album", "Territory", "Label", "Notes" ]
which album came in first place?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Good Deeds and Dirty Rags" ]
which album came in first place? || which album hit number 2? | which album hit numer 3 on the uk album chart?
nt-13068
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 4, 5, 6, 7, 8, 9 ] }
[ "what albums are on the uk albums chart?" ]
2
good deeds and dirty rags, fish heads and tails, hammer and tongs, live on the day of storms, five, jezebel, the glory hole, the river sessions, the rattler: live '91'
[ "Year", "Album", "Territory", "Label", "Notes" ]
what albums are on the uk albums chart?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Good Deeds and Dirty Rags", "Fish Heads and Tails", "Hammer and Tongs", "Live on The Day of Storms", "Five", "Jezebel", "The Glory Hole", "The River Sessions", "The Rattler: Live '91'" ]
what albums are on the uk albums chart? ||
nt-13068
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 0, 2 ] }
[ "what albums are on the uk albums chart?", "of these, which albums have an entry about uk album charts in notes?" ]
2
good deeds and dirty rags, hammer and tongs
[ "Year", "Album", "Territory", "Label", "Notes" ]
of these, which albums have an entry about uk album charts in notes?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Good Deeds and Dirty Rags", "Hammer and Tongs" ]
of these, which albums have an entry about uk album charts in notes? || what albums are on the uk albums chart?
nt-13068
col : year | album | territory | label | notes row 1 : 1989 | good deeds and dirty rags | uk | capitol records | debut album, reached no. 26 on uk albums chart row 2 : 1989 | fish heads and tails | uk | capitol records | mid-price live and rarities compilation row 3 : 1991 | hammer and tongs | uk | radioactive records/mca | second studio album; reached no. 61 on the uk albums chart row 4 : 1991 | goodbye mr. mackenzie | international | radioactive records/mca | compilation of tracks from both albums, remixed row 5 : 1993 | live on the day of storms | uk | blokshok records | live album row 6 : 1994 | five | uk | blokshok records | third studio album row 7 : 1995 | jezebel | uk | blokshok records | rarities compilation row 8 : 1996 | the glory hole | uk | blokshok records | fourth and final studio album: manson, scobie or duncan do not row 9 : 2005 | the river sessions | uk | river records | double live album row 10 : 2009 | the rattler: live '91' | uk | md music company | live album (digital release)
table_csv/204_928.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what albums are on the uk albums chart?", "of these, which albums have an entry about uk album charts in notes?", "of these, which album's notes indicate the higher spot on the uk album charts?" ]
2
good deeds and dirty rags
[ "Year", "Album", "Territory", "Label", "Notes" ]
of these, which album's notes indicate the higher spot on the uk album charts?
[ [ "1989", "Good Deeds and Dirty Rags", "UK", "Capitol Records", "Debut album, reached No. 26 on UK Albums Chart" ], [ "1989", "Fish Heads and Tails", "UK", "Capitol Records", "Mid-price live and rarities compilation" ], [ "1991", "Hammer and Tongs", "UK", "Radioactive Records/MCA", "Second studio album; reached No. 61 on the UK Albums Chart" ], [ "1991", "Goodbye Mr. Mackenzie", "International", "Radioactive Records/MCA", "Compilation of tracks from both albums, remixed" ], [ "1993", "Live on The Day of Storms", "UK", "Blokshok Records", "Live album" ], [ "1994", "Five", "UK", "Blokshok Records", "Third studio album" ], [ "1995", "Jezebel", "UK", "Blokshok Records", "Rarities compilation" ], [ "1996", "The Glory Hole", "UK", "Blokshok Records", "Fourth and final studio album: Manson, Scobie or Duncan do not" ], [ "2005", "The River Sessions", "UK", "River Records", "Double live album" ], [ "2009", "The Rattler: Live '91'", "UK", "MD Music Company", "Live album (Digital release)" ] ]
[ "Good Deeds and Dirty Rags" ]
of these, which album's notes indicate the higher spot on the uk album charts? || of these, which albums have an entry about uk album charts in notes? | what albums are on the uk albums chart?
nt-12591
col : year | competition | venue | position | event | notes row 1 : 1998 | turin marathon | turin, italy | 3rd | marathon | 2:12:59 row 2 : 2003 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:15:31 row 3 : 2004 | vienna marathon | vienna, austria | 3rd | marathon | 2:11:24 row 4 : 2004 | berlin marathon | berlin, germany | 5th | marathon | 2:09:08 row 5 : 2005 | world championships | helsinki, finland | 18th | marathon | 2:16:33 row 6 : 2006 | paris marathon | paris, france | 4th | marathon | 2:08:55 row 7 : 2006 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:21:08 row 8 : 2007 | world championships | osaka, japan | -- | marathon | dns
table_csv/204_98.csv
0
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all the notes?" ]
0
2:12:59, 2:15:31, 2:11:24, 2:09:08, 2:16:33, 2:08:55, 2:21:08, dns
[ "Year", "Competition", "Venue", "Position", "Event", "Notes" ]
what are all the notes?
[ [ "1998", "Turin Marathon", "Turin, Italy", "3rd", "Marathon", "2:12:59" ], [ "2003", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:15:31" ], [ "2004", "Vienna Marathon", "Vienna, Austria", "3rd", "Marathon", "2:11:24" ], [ "2004", "Berlin Marathon", "Berlin, Germany", "5th", "Marathon", "2:09:08" ], [ "2005", "World Championships", "Helsinki, Finland", "18th", "Marathon", "2:16:33" ], [ "2006", "Paris Marathon", "Paris, France", "4th", "Marathon", "2:08:55" ], [ "2006", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:21:08" ], [ "2007", "World Championships", "Osaka, Japan", "--", "Marathon", "DNS" ] ]
[ "2:12:59", "2:15:31", "2:11:24", "2:09:08", "2:16:33", "2:08:55", "2:21:08", "DNS" ]
what are all the notes? ||
nt-12591
col : year | competition | venue | position | event | notes row 1 : 1998 | turin marathon | turin, italy | 3rd | marathon | 2:12:59 row 2 : 2003 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:15:31 row 3 : 2004 | vienna marathon | vienna, austria | 3rd | marathon | 2:11:24 row 4 : 2004 | berlin marathon | berlin, germany | 5th | marathon | 2:09:08 row 5 : 2005 | world championships | helsinki, finland | 18th | marathon | 2:16:33 row 6 : 2006 | paris marathon | paris, france | 4th | marathon | 2:08:55 row 7 : 2006 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:21:08 row 8 : 2007 | world championships | osaka, japan | -- | marathon | dns
table_csv/204_98.csv
1
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what are all the notes?", "of those notes which ones finished?" ]
0
2:12:59, 2:15:31, 2:11:24, 2:09:08, 2:16:33, 2:08:55, 2:21:08
[ "Year", "Competition", "Venue", "Position", "Event", "Notes" ]
of those notes which ones finished?
[ [ "1998", "Turin Marathon", "Turin, Italy", "3rd", "Marathon", "2:12:59" ], [ "2003", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:15:31" ], [ "2004", "Vienna Marathon", "Vienna, Austria", "3rd", "Marathon", "2:11:24" ], [ "2004", "Berlin Marathon", "Berlin, Germany", "5th", "Marathon", "2:09:08" ], [ "2005", "World Championships", "Helsinki, Finland", "18th", "Marathon", "2:16:33" ], [ "2006", "Paris Marathon", "Paris, France", "4th", "Marathon", "2:08:55" ], [ "2006", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:21:08" ], [ "2007", "World Championships", "Osaka, Japan", "--", "Marathon", "DNS" ] ]
[ "2:12:59", "2:15:31", "2:11:24", "2:09:08", "2:16:33", "2:08:55", "2:21:08" ]
of those notes which ones finished? || what are all the notes?
nt-12591
col : year | competition | venue | position | event | notes row 1 : 1998 | turin marathon | turin, italy | 3rd | marathon | 2:12:59 row 2 : 2003 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:15:31 row 3 : 2004 | vienna marathon | vienna, austria | 3rd | marathon | 2:11:24 row 4 : 2004 | berlin marathon | berlin, germany | 5th | marathon | 2:09:08 row 5 : 2005 | world championships | helsinki, finland | 18th | marathon | 2:16:33 row 6 : 2006 | paris marathon | paris, france | 4th | marathon | 2:08:55 row 7 : 2006 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:21:08 row 8 : 2007 | world championships | osaka, japan | -- | marathon | dns
table_csv/204_98.csv
2
{ "column_index": [ 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 6 ] }
[ "what are all the notes?", "of those notes which ones finished?", "of those notes which ones finished in the top three?" ]
0
2:12:59, 2:15:31, 2:11:24, 2:21:08
[ "Year", "Competition", "Venue", "Position", "Event", "Notes" ]
of those notes which ones finished in the top three?
[ [ "1998", "Turin Marathon", "Turin, Italy", "3rd", "Marathon", "2:12:59" ], [ "2003", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:15:31" ], [ "2004", "Vienna Marathon", "Vienna, Austria", "3rd", "Marathon", "2:11:24" ], [ "2004", "Berlin Marathon", "Berlin, Germany", "5th", "Marathon", "2:09:08" ], [ "2005", "World Championships", "Helsinki, Finland", "18th", "Marathon", "2:16:33" ], [ "2006", "Paris Marathon", "Paris, France", "4th", "Marathon", "2:08:55" ], [ "2006", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:21:08" ], [ "2007", "World Championships", "Osaka, Japan", "--", "Marathon", "DNS" ] ]
[ "2:12:59", "2:15:31", "2:11:24", "2:21:08" ]
of those notes which ones finished in the top three? || of those notes which ones finished? | what are all the notes?
nt-12591
col : year | competition | venue | position | event | notes row 1 : 1998 | turin marathon | turin, italy | 3rd | marathon | 2:12:59 row 2 : 2003 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:15:31 row 3 : 2004 | vienna marathon | vienna, austria | 3rd | marathon | 2:11:24 row 4 : 2004 | berlin marathon | berlin, germany | 5th | marathon | 2:09:08 row 5 : 2005 | world championships | helsinki, finland | 18th | marathon | 2:16:33 row 6 : 2006 | paris marathon | paris, france | 4th | marathon | 2:08:55 row 7 : 2006 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:21:08 row 8 : 2007 | world championships | osaka, japan | -- | marathon | dns
table_csv/204_98.csv
3
{ "column_index": [ 5, 5 ], "row_index": [ 0, 2 ] }
[ "what are all the notes?", "of those notes which ones finished?", "of those notes which ones finished in the top three?", "of those notes which ones did not take place in lisbon?" ]
0
2:12:59, 2:11:24
[ "Year", "Competition", "Venue", "Position", "Event", "Notes" ]
of those notes which ones did not take place in lisbon?
[ [ "1998", "Turin Marathon", "Turin, Italy", "3rd", "Marathon", "2:12:59" ], [ "2003", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:15:31" ], [ "2004", "Vienna Marathon", "Vienna, Austria", "3rd", "Marathon", "2:11:24" ], [ "2004", "Berlin Marathon", "Berlin, Germany", "5th", "Marathon", "2:09:08" ], [ "2005", "World Championships", "Helsinki, Finland", "18th", "Marathon", "2:16:33" ], [ "2006", "Paris Marathon", "Paris, France", "4th", "Marathon", "2:08:55" ], [ "2006", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:21:08" ], [ "2007", "World Championships", "Osaka, Japan", "--", "Marathon", "DNS" ] ]
[ "2:12:59", "2:11:24" ]
of those notes which ones did not take place in lisbon? || of those notes which ones finished in the top three? | of those notes which ones finished? | what are all the notes?
nt-12591
col : year | competition | venue | position | event | notes row 1 : 1998 | turin marathon | turin, italy | 3rd | marathon | 2:12:59 row 2 : 2003 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:15:31 row 3 : 2004 | vienna marathon | vienna, austria | 3rd | marathon | 2:11:24 row 4 : 2004 | berlin marathon | berlin, germany | 5th | marathon | 2:09:08 row 5 : 2005 | world championships | helsinki, finland | 18th | marathon | 2:16:33 row 6 : 2006 | paris marathon | paris, france | 4th | marathon | 2:08:55 row 7 : 2006 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:21:08 row 8 : 2007 | world championships | osaka, japan | -- | marathon | dns
table_csv/204_98.csv
4
{ "column_index": [ 5 ], "row_index": [ 0 ] }
[ "what are all the notes?", "of those notes which ones finished?", "of those notes which ones finished in the top three?", "of those notes which ones did not take place in lisbon?", "of those notes which one was longer?" ]
0
2:12:59
[ "Year", "Competition", "Venue", "Position", "Event", "Notes" ]
of those notes which one was longer?
[ [ "1998", "Turin Marathon", "Turin, Italy", "3rd", "Marathon", "2:12:59" ], [ "2003", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:15:31" ], [ "2004", "Vienna Marathon", "Vienna, Austria", "3rd", "Marathon", "2:11:24" ], [ "2004", "Berlin Marathon", "Berlin, Germany", "5th", "Marathon", "2:09:08" ], [ "2005", "World Championships", "Helsinki, Finland", "18th", "Marathon", "2:16:33" ], [ "2006", "Paris Marathon", "Paris, France", "4th", "Marathon", "2:08:55" ], [ "2006", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:21:08" ], [ "2007", "World Championships", "Osaka, Japan", "--", "Marathon", "DNS" ] ]
[ "2:12:59" ]
of those notes which one was longer? || of those notes which ones did not take place in lisbon? | of those notes which ones finished in the top three? | of those notes which ones finished? | what are all the notes?
nt-12591
col : year | competition | venue | position | event | notes row 1 : 1998 | turin marathon | turin, italy | 3rd | marathon | 2:12:59 row 2 : 2003 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:15:31 row 3 : 2004 | vienna marathon | vienna, austria | 3rd | marathon | 2:11:24 row 4 : 2004 | berlin marathon | berlin, germany | 5th | marathon | 2:09:08 row 5 : 2005 | world championships | helsinki, finland | 18th | marathon | 2:16:33 row 6 : 2006 | paris marathon | paris, france | 4th | marathon | 2:08:55 row 7 : 2006 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:21:08 row 8 : 2007 | world championships | osaka, japan | -- | marathon | dns
table_csv/204_98.csv
0
{ "column_index": [ 2 ], "row_index": [ 0 ] }
[ "where did luis jesus race in 1998?" ]
1
turin, italy
[ "Year", "Competition", "Venue", "Position", "Event", "Notes" ]
where did luis jesus race in 1998?
[ [ "1998", "Turin Marathon", "Turin, Italy", "3rd", "Marathon", "2:12:59" ], [ "2003", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:15:31" ], [ "2004", "Vienna Marathon", "Vienna, Austria", "3rd", "Marathon", "2:11:24" ], [ "2004", "Berlin Marathon", "Berlin, Germany", "5th", "Marathon", "2:09:08" ], [ "2005", "World Championships", "Helsinki, Finland", "18th", "Marathon", "2:16:33" ], [ "2006", "Paris Marathon", "Paris, France", "4th", "Marathon", "2:08:55" ], [ "2006", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:21:08" ], [ "2007", "World Championships", "Osaka, Japan", "--", "Marathon", "DNS" ] ]
[ "Turin, Italy" ]
where did luis jesus race in 1998? ||
nt-12591
col : year | competition | venue | position | event | notes row 1 : 1998 | turin marathon | turin, italy | 3rd | marathon | 2:12:59 row 2 : 2003 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:15:31 row 3 : 2004 | vienna marathon | vienna, austria | 3rd | marathon | 2:11:24 row 4 : 2004 | berlin marathon | berlin, germany | 5th | marathon | 2:09:08 row 5 : 2005 | world championships | helsinki, finland | 18th | marathon | 2:16:33 row 6 : 2006 | paris marathon | paris, france | 4th | marathon | 2:08:55 row 7 : 2006 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:21:08 row 8 : 2007 | world championships | osaka, japan | -- | marathon | dns
table_csv/204_98.csv
1
{ "column_index": [ 5 ], "row_index": [ 0 ] }
[ "where did luis jesus race in 1998?", "how long did it take him to finish the race in italy?" ]
1
2:12:59
[ "Year", "Competition", "Venue", "Position", "Event", "Notes" ]
how long did it take him to finish the race in italy?
[ [ "1998", "Turin Marathon", "Turin, Italy", "3rd", "Marathon", "2:12:59" ], [ "2003", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:15:31" ], [ "2004", "Vienna Marathon", "Vienna, Austria", "3rd", "Marathon", "2:11:24" ], [ "2004", "Berlin Marathon", "Berlin, Germany", "5th", "Marathon", "2:09:08" ], [ "2005", "World Championships", "Helsinki, Finland", "18th", "Marathon", "2:16:33" ], [ "2006", "Paris Marathon", "Paris, France", "4th", "Marathon", "2:08:55" ], [ "2006", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:21:08" ], [ "2007", "World Championships", "Osaka, Japan", "--", "Marathon", "DNS" ] ]
[ "2:12:59" ]
how long did it take him to finish the race in italy? || where did luis jesus race in 1998?
nt-12591
col : year | competition | venue | position | event | notes row 1 : 1998 | turin marathon | turin, italy | 3rd | marathon | 2:12:59 row 2 : 2003 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:15:31 row 3 : 2004 | vienna marathon | vienna, austria | 3rd | marathon | 2:11:24 row 4 : 2004 | berlin marathon | berlin, germany | 5th | marathon | 2:09:08 row 5 : 2005 | world championships | helsinki, finland | 18th | marathon | 2:16:33 row 6 : 2006 | paris marathon | paris, france | 4th | marathon | 2:08:55 row 7 : 2006 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:21:08 row 8 : 2007 | world championships | osaka, japan | -- | marathon | dns
table_csv/204_98.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what different competitions did luis jesus compete in?" ]
2
turin marathon, lisbon marathon, vienna marathon, berlin marathon, world championships, paris marathon, lisbon marathon, world championships
[ "Year", "Competition", "Venue", "Position", "Event", "Notes" ]
what different competitions did luis jesus compete in?
[ [ "1998", "Turin Marathon", "Turin, Italy", "3rd", "Marathon", "2:12:59" ], [ "2003", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:15:31" ], [ "2004", "Vienna Marathon", "Vienna, Austria", "3rd", "Marathon", "2:11:24" ], [ "2004", "Berlin Marathon", "Berlin, Germany", "5th", "Marathon", "2:09:08" ], [ "2005", "World Championships", "Helsinki, Finland", "18th", "Marathon", "2:16:33" ], [ "2006", "Paris Marathon", "Paris, France", "4th", "Marathon", "2:08:55" ], [ "2006", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:21:08" ], [ "2007", "World Championships", "Osaka, Japan", "--", "Marathon", "DNS" ] ]
[ "Turin Marathon", "Lisbon Marathon", "Vienna Marathon", "Berlin Marathon", "World Championships", "Paris Marathon", "Lisbon Marathon", "World Championships" ]
what different competitions did luis jesus compete in? ||
nt-12591
col : year | competition | venue | position | event | notes row 1 : 1998 | turin marathon | turin, italy | 3rd | marathon | 2:12:59 row 2 : 2003 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:15:31 row 3 : 2004 | vienna marathon | vienna, austria | 3rd | marathon | 2:11:24 row 4 : 2004 | berlin marathon | berlin, germany | 5th | marathon | 2:09:08 row 5 : 2005 | world championships | helsinki, finland | 18th | marathon | 2:16:33 row 6 : 2006 | paris marathon | paris, france | 4th | marathon | 2:08:55 row 7 : 2006 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:21:08 row 8 : 2007 | world championships | osaka, japan | -- | marathon | dns
table_csv/204_98.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 4, 6, 7 ] }
[ "what different competitions did luis jesus compete in?", "what years did he compete in?" ]
2
1998, 2003, 2004, 2005, 2006, 2007
[ "Year", "Competition", "Venue", "Position", "Event", "Notes" ]
what years did he compete in?
[ [ "1998", "Turin Marathon", "Turin, Italy", "3rd", "Marathon", "2:12:59" ], [ "2003", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:15:31" ], [ "2004", "Vienna Marathon", "Vienna, Austria", "3rd", "Marathon", "2:11:24" ], [ "2004", "Berlin Marathon", "Berlin, Germany", "5th", "Marathon", "2:09:08" ], [ "2005", "World Championships", "Helsinki, Finland", "18th", "Marathon", "2:16:33" ], [ "2006", "Paris Marathon", "Paris, France", "4th", "Marathon", "2:08:55" ], [ "2006", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:21:08" ], [ "2007", "World Championships", "Osaka, Japan", "--", "Marathon", "DNS" ] ]
[ "1998", "2003", "2004", "2005", "2006", "2007" ]
what years did he compete in? || what different competitions did luis jesus compete in?
nt-12591
col : year | competition | venue | position | event | notes row 1 : 1998 | turin marathon | turin, italy | 3rd | marathon | 2:12:59 row 2 : 2003 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:15:31 row 3 : 2004 | vienna marathon | vienna, austria | 3rd | marathon | 2:11:24 row 4 : 2004 | berlin marathon | berlin, germany | 5th | marathon | 2:09:08 row 5 : 2005 | world championships | helsinki, finland | 18th | marathon | 2:16:33 row 6 : 2006 | paris marathon | paris, france | 4th | marathon | 2:08:55 row 7 : 2006 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:21:08 row 8 : 2007 | world championships | osaka, japan | -- | marathon | dns
table_csv/204_98.csv
2
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what different competitions did luis jesus compete in?", "what years did he compete in?", "what venues did he compete it?" ]
2
turin, italy, lisbon, portugal, vienna, austria, berlin, germany, helsinki, finland, paris, france, lisbon, portugal, osaka, japan
[ "Year", "Competition", "Venue", "Position", "Event", "Notes" ]
what venues did he compete it?
[ [ "1998", "Turin Marathon", "Turin, Italy", "3rd", "Marathon", "2:12:59" ], [ "2003", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:15:31" ], [ "2004", "Vienna Marathon", "Vienna, Austria", "3rd", "Marathon", "2:11:24" ], [ "2004", "Berlin Marathon", "Berlin, Germany", "5th", "Marathon", "2:09:08" ], [ "2005", "World Championships", "Helsinki, Finland", "18th", "Marathon", "2:16:33" ], [ "2006", "Paris Marathon", "Paris, France", "4th", "Marathon", "2:08:55" ], [ "2006", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:21:08" ], [ "2007", "World Championships", "Osaka, Japan", "--", "Marathon", "DNS" ] ]
[ "Turin, Italy", "Lisbon, Portugal", "Vienna, Austria", "Berlin, Germany", "Helsinki, Finland", "Paris, France", "Lisbon, Portugal", "Osaka, Japan" ]
what venues did he compete it? || what years did he compete in? | what different competitions did luis jesus compete in?
nt-12591
col : year | competition | venue | position | event | notes row 1 : 1998 | turin marathon | turin, italy | 3rd | marathon | 2:12:59 row 2 : 2003 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:15:31 row 3 : 2004 | vienna marathon | vienna, austria | 3rd | marathon | 2:11:24 row 4 : 2004 | berlin marathon | berlin, germany | 5th | marathon | 2:09:08 row 5 : 2005 | world championships | helsinki, finland | 18th | marathon | 2:16:33 row 6 : 2006 | paris marathon | paris, france | 4th | marathon | 2:08:55 row 7 : 2006 | lisbon marathon | lisbon, portugal | 1st | marathon | 2:21:08 row 8 : 2007 | world championships | osaka, japan | -- | marathon | dns
table_csv/204_98.csv
3
{ "column_index": [ 5 ], "row_index": [ 0 ] }
[ "what different competitions did luis jesus compete in?", "what years did he compete in?", "what venues did he compete it?", "what was his placement time in turin, italy?" ]
2
2:12:59
[ "Year", "Competition", "Venue", "Position", "Event", "Notes" ]
what was his placement time in turin, italy?
[ [ "1998", "Turin Marathon", "Turin, Italy", "3rd", "Marathon", "2:12:59" ], [ "2003", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:15:31" ], [ "2004", "Vienna Marathon", "Vienna, Austria", "3rd", "Marathon", "2:11:24" ], [ "2004", "Berlin Marathon", "Berlin, Germany", "5th", "Marathon", "2:09:08" ], [ "2005", "World Championships", "Helsinki, Finland", "18th", "Marathon", "2:16:33" ], [ "2006", "Paris Marathon", "Paris, France", "4th", "Marathon", "2:08:55" ], [ "2006", "Lisbon Marathon", "Lisbon, Portugal", "1st", "Marathon", "2:21:08" ], [ "2007", "World Championships", "Osaka, Japan", "--", "Marathon", "DNS" ] ]
[ "2:12:59" ]
what was his placement time in turin, italy? || what venues did he compete it? | what years did he compete in? | what different competitions did luis jesus compete in?
nt-12593
col : number | driver | entrant | chassis | engine | tyre row 1 : 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f row 2 : 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d row 3 : 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d row 4 : 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d row 5 : 7 | bob veith | bob estes | phillips | offenhauser | f row 6 : 8 | jean behra | maserati | maserati 250f | maserati | f row 7 : 8 | jean behra | maserati | maserati 450s1 | maserati | f row 8 : 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f row 9 : 16 | mario bornigia | scuderia cottione | ferrari | ferrari | ? row 10 : 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 11 : 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f row 12 : 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f row 13 : 52 | troy ruttman | john zink | watson | offenhauser | f row 14 : 52 | jim rathmann2 | john zink | watson | offenhauser | f row 15 : 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 16 : 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f row 17 : 98 | johnnie parsons | agajanian | kuzma | offenhauser | f
table_csv/204_511.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ] }
[ "who are all the drivers?" ]
0
jimmy bryan, john lawrence, jack fairman, ninian sanderson, bob veith, jean behra, jean behra, pat o'connor, mario bornigia, tony bettenhausen, eddie sachs, ray crawford, troy ruttman, jim rathmann2, paul russo, andy linden, johnnie parsons
[ "Number", "Driver", "Entrant", "Chassis", "Engine", "Tyre" ]
who are all the drivers?
[ [ "1", "Jimmy Bryan", "Dean Van Lines", "Kuzma", "Offenhauser", "F" ], [ "2", "John Lawrence", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "4", "Jack Fairman", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "6", "Ninian Sanderson", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "7", "Bob Veith", "Bob Estes", "Phillips", "Offenhauser", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 250F", "Maserati", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 450S1", "Maserati", "F" ], [ "12", "Pat O'Connor", "Sumar", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "16", "Mario Bornigia", "Scuderia Cottione", "Ferrari", "Ferrari", "?" ], [ "27", "Tony Bettenhausen", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "35", "Eddie Sachs", "Jim Robbins", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "49", "Ray Crawford", "Meguiar Mirror Glaze", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "52", "Troy Ruttman", "John Zink", "Watson", "Offenhauser", "F" ], [ "52", "Jim Rathmann2", "John Zink", "Watson", "Offenhauser", "F" ], [ "54", "Paul Russo", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "73", "Andy Linden", "McNamara Veedol", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "98", "Johnnie Parsons", "Agajanian", "Kuzma", "Offenhauser", "F" ] ]
[ "Jimmy Bryan", "John Lawrence", "Jack Fairman", "Ninian Sanderson", "Bob Veith", "Jean Behra", "Jean Behra", "Pat O'Connor", "Mario Bornigia", "Tony Bettenhausen", "Eddie Sachs", "Ray Crawford", "Troy Ruttman", "Jim Rathmann2", "Paul Russo", "Andy Linden", "Johnnie Parsons" ]
who are all the drivers? ||
nt-12593
col : number | driver | entrant | chassis | engine | tyre row 1 : 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f row 2 : 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d row 3 : 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d row 4 : 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d row 5 : 7 | bob veith | bob estes | phillips | offenhauser | f row 6 : 8 | jean behra | maserati | maserati 250f | maserati | f row 7 : 8 | jean behra | maserati | maserati 450s1 | maserati | f row 8 : 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f row 9 : 16 | mario bornigia | scuderia cottione | ferrari | ferrari | ? row 10 : 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 11 : 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f row 12 : 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f row 13 : 52 | troy ruttman | john zink | watson | offenhauser | f row 14 : 52 | jim rathmann2 | john zink | watson | offenhauser | f row 15 : 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 16 : 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f row 17 : 98 | johnnie parsons | agajanian | kuzma | offenhauser | f
table_csv/204_511.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ] }
[ "who are all the drivers?", "what chassis did each driver use?" ]
0
kuzma, jaguar d-type, jaguar d-type, jaguar d-type, phillips, maserati 250f, maserati 450s1, kurtis kraft 500g, ferrari, kurtis kraft 500f, kurtis kraft 500g, kurtis kraft 500g, watson, watson, kurtis kraft 500f, kurtis kraft 500g, kuzma
[ "Number", "Driver", "Entrant", "Chassis", "Engine", "Tyre" ]
what chassis did each driver use?
[ [ "1", "Jimmy Bryan", "Dean Van Lines", "Kuzma", "Offenhauser", "F" ], [ "2", "John Lawrence", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "4", "Jack Fairman", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "6", "Ninian Sanderson", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "7", "Bob Veith", "Bob Estes", "Phillips", "Offenhauser", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 250F", "Maserati", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 450S1", "Maserati", "F" ], [ "12", "Pat O'Connor", "Sumar", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "16", "Mario Bornigia", "Scuderia Cottione", "Ferrari", "Ferrari", "?" ], [ "27", "Tony Bettenhausen", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "35", "Eddie Sachs", "Jim Robbins", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "49", "Ray Crawford", "Meguiar Mirror Glaze", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "52", "Troy Ruttman", "John Zink", "Watson", "Offenhauser", "F" ], [ "52", "Jim Rathmann2", "John Zink", "Watson", "Offenhauser", "F" ], [ "54", "Paul Russo", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "73", "Andy Linden", "McNamara Veedol", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "98", "Johnnie Parsons", "Agajanian", "Kuzma", "Offenhauser", "F" ] ]
[ "Kuzma", "Jaguar D-Type", "Jaguar D-Type", "Jaguar D-Type", "Phillips", "Maserati 250F", "Maserati 450S1", "Kurtis Kraft 500G", "Ferrari", "Kurtis Kraft 500F", "Kurtis Kraft 500G", "Kurtis Kraft 500G", "Watson", "Watson", "Kurtis Kraft 500F", "Kurtis Kraft 500G", "Kuzma" ]
what chassis did each driver use? || who are all the drivers?
nt-12593
col : number | driver | entrant | chassis | engine | tyre row 1 : 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f row 2 : 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d row 3 : 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d row 4 : 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d row 5 : 7 | bob veith | bob estes | phillips | offenhauser | f row 6 : 8 | jean behra | maserati | maserati 250f | maserati | f row 7 : 8 | jean behra | maserati | maserati 450s1 | maserati | f row 8 : 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f row 9 : 16 | mario bornigia | scuderia cottione | ferrari | ferrari | ? row 10 : 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 11 : 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f row 12 : 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f row 13 : 52 | troy ruttman | john zink | watson | offenhauser | f row 14 : 52 | jim rathmann2 | john zink | watson | offenhauser | f row 15 : 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 16 : 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f row 17 : 98 | johnnie parsons | agajanian | kuzma | offenhauser | f
table_csv/204_511.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "who are all the drivers?", "what chassis did each driver use?", "and who used a ferrari chassis?" ]
0
mario bornigia
[ "Number", "Driver", "Entrant", "Chassis", "Engine", "Tyre" ]
and who used a ferrari chassis?
[ [ "1", "Jimmy Bryan", "Dean Van Lines", "Kuzma", "Offenhauser", "F" ], [ "2", "John Lawrence", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "4", "Jack Fairman", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "6", "Ninian Sanderson", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "7", "Bob Veith", "Bob Estes", "Phillips", "Offenhauser", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 250F", "Maserati", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 450S1", "Maserati", "F" ], [ "12", "Pat O'Connor", "Sumar", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "16", "Mario Bornigia", "Scuderia Cottione", "Ferrari", "Ferrari", "?" ], [ "27", "Tony Bettenhausen", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "35", "Eddie Sachs", "Jim Robbins", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "49", "Ray Crawford", "Meguiar Mirror Glaze", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "52", "Troy Ruttman", "John Zink", "Watson", "Offenhauser", "F" ], [ "52", "Jim Rathmann2", "John Zink", "Watson", "Offenhauser", "F" ], [ "54", "Paul Russo", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "73", "Andy Linden", "McNamara Veedol", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "98", "Johnnie Parsons", "Agajanian", "Kuzma", "Offenhauser", "F" ] ]
[ "Mario Bornigia" ]
and who used a ferrari chassis? || what chassis did each driver use? | who are all the drivers?
nt-12593
col : number | driver | entrant | chassis | engine | tyre row 1 : 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f row 2 : 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d row 3 : 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d row 4 : 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d row 5 : 7 | bob veith | bob estes | phillips | offenhauser | f row 6 : 8 | jean behra | maserati | maserati 250f | maserati | f row 7 : 8 | jean behra | maserati | maserati 450s1 | maserati | f row 8 : 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f row 9 : 16 | mario bornigia | scuderia cottione | ferrari | ferrari | ? row 10 : 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 11 : 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f row 12 : 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f row 13 : 52 | troy ruttman | john zink | watson | offenhauser | f row 14 : 52 | jim rathmann2 | john zink | watson | offenhauser | f row 15 : 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 16 : 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f row 17 : 98 | johnnie parsons | agajanian | kuzma | offenhauser | f
table_csv/204_511.csv
0
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which driver uses a offenhauser in the race of two worlds?" ]
1
jimmy bryan
[ "Number", "Driver", "Entrant", "Chassis", "Engine", "Tyre" ]
which driver uses a offenhauser in the race of two worlds?
[ [ "1", "Jimmy Bryan", "Dean Van Lines", "Kuzma", "Offenhauser", "F" ], [ "2", "John Lawrence", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "4", "Jack Fairman", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "6", "Ninian Sanderson", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "7", "Bob Veith", "Bob Estes", "Phillips", "Offenhauser", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 250F", "Maserati", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 450S1", "Maserati", "F" ], [ "12", "Pat O'Connor", "Sumar", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "16", "Mario Bornigia", "Scuderia Cottione", "Ferrari", "Ferrari", "?" ], [ "27", "Tony Bettenhausen", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "35", "Eddie Sachs", "Jim Robbins", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "49", "Ray Crawford", "Meguiar Mirror Glaze", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "52", "Troy Ruttman", "John Zink", "Watson", "Offenhauser", "F" ], [ "52", "Jim Rathmann2", "John Zink", "Watson", "Offenhauser", "F" ], [ "54", "Paul Russo", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "73", "Andy Linden", "McNamara Veedol", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "98", "Johnnie Parsons", "Agajanian", "Kuzma", "Offenhauser", "F" ] ]
[ "Jimmy Bryan" ]
which driver uses a offenhauser in the race of two worlds? ||
nt-12593
col : number | driver | entrant | chassis | engine | tyre row 1 : 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f row 2 : 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d row 3 : 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d row 4 : 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d row 5 : 7 | bob veith | bob estes | phillips | offenhauser | f row 6 : 8 | jean behra | maserati | maserati 250f | maserati | f row 7 : 8 | jean behra | maserati | maserati 450s1 | maserati | f row 8 : 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f row 9 : 16 | mario bornigia | scuderia cottione | ferrari | ferrari | ? row 10 : 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 11 : 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f row 12 : 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f row 13 : 52 | troy ruttman | john zink | watson | offenhauser | f row 14 : 52 | jim rathmann2 | john zink | watson | offenhauser | f row 15 : 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 16 : 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f row 17 : 98 | johnnie parsons | agajanian | kuzma | offenhauser | f
table_csv/204_511.csv
1
{ "column_index": [ 1 ], "row_index": [ 9 ] }
[ "which driver uses a offenhauser in the race of two worlds?", "which driver uses a novo?" ]
1
tony bettenhausen
[ "Number", "Driver", "Entrant", "Chassis", "Engine", "Tyre" ]
which driver uses a novo?
[ [ "1", "Jimmy Bryan", "Dean Van Lines", "Kuzma", "Offenhauser", "F" ], [ "2", "John Lawrence", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "4", "Jack Fairman", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "6", "Ninian Sanderson", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "7", "Bob Veith", "Bob Estes", "Phillips", "Offenhauser", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 250F", "Maserati", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 450S1", "Maserati", "F" ], [ "12", "Pat O'Connor", "Sumar", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "16", "Mario Bornigia", "Scuderia Cottione", "Ferrari", "Ferrari", "?" ], [ "27", "Tony Bettenhausen", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "35", "Eddie Sachs", "Jim Robbins", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "49", "Ray Crawford", "Meguiar Mirror Glaze", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "52", "Troy Ruttman", "John Zink", "Watson", "Offenhauser", "F" ], [ "52", "Jim Rathmann2", "John Zink", "Watson", "Offenhauser", "F" ], [ "54", "Paul Russo", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "73", "Andy Linden", "McNamara Veedol", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "98", "Johnnie Parsons", "Agajanian", "Kuzma", "Offenhauser", "F" ] ]
[ "Tony Bettenhausen" ]
which driver uses a novo? || which driver uses a offenhauser in the race of two worlds?
nt-12593
col : number | driver | entrant | chassis | engine | tyre row 1 : 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f row 2 : 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d row 3 : 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d row 4 : 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d row 5 : 7 | bob veith | bob estes | phillips | offenhauser | f row 6 : 8 | jean behra | maserati | maserati 250f | maserati | f row 7 : 8 | jean behra | maserati | maserati 450s1 | maserati | f row 8 : 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f row 9 : 16 | mario bornigia | scuderia cottione | ferrari | ferrari | ? row 10 : 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 11 : 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f row 12 : 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f row 13 : 52 | troy ruttman | john zink | watson | offenhauser | f row 14 : 52 | jim rathmann2 | john zink | watson | offenhauser | f row 15 : 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 16 : 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f row 17 : 98 | johnnie parsons | agajanian | kuzma | offenhauser | f
table_csv/204_511.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "which driver uses a offenhauser in the race of two worlds?", "which driver uses a novo?", "which driver uses a ferrari?" ]
1
mario bornigia
[ "Number", "Driver", "Entrant", "Chassis", "Engine", "Tyre" ]
which driver uses a ferrari?
[ [ "1", "Jimmy Bryan", "Dean Van Lines", "Kuzma", "Offenhauser", "F" ], [ "2", "John Lawrence", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "4", "Jack Fairman", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "6", "Ninian Sanderson", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "7", "Bob Veith", "Bob Estes", "Phillips", "Offenhauser", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 250F", "Maserati", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 450S1", "Maserati", "F" ], [ "12", "Pat O'Connor", "Sumar", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "16", "Mario Bornigia", "Scuderia Cottione", "Ferrari", "Ferrari", "?" ], [ "27", "Tony Bettenhausen", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "35", "Eddie Sachs", "Jim Robbins", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "49", "Ray Crawford", "Meguiar Mirror Glaze", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "52", "Troy Ruttman", "John Zink", "Watson", "Offenhauser", "F" ], [ "52", "Jim Rathmann2", "John Zink", "Watson", "Offenhauser", "F" ], [ "54", "Paul Russo", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "73", "Andy Linden", "McNamara Veedol", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "98", "Johnnie Parsons", "Agajanian", "Kuzma", "Offenhauser", "F" ] ]
[ "Mario Bornigia" ]
which driver uses a ferrari? || which driver uses a novo? | which driver uses a offenhauser in the race of two worlds?
nt-12593
col : number | driver | entrant | chassis | engine | tyre row 1 : 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f row 2 : 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d row 3 : 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d row 4 : 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d row 5 : 7 | bob veith | bob estes | phillips | offenhauser | f row 6 : 8 | jean behra | maserati | maserati 250f | maserati | f row 7 : 8 | jean behra | maserati | maserati 450s1 | maserati | f row 8 : 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f row 9 : 16 | mario bornigia | scuderia cottione | ferrari | ferrari | ? row 10 : 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 11 : 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f row 12 : 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f row 13 : 52 | troy ruttman | john zink | watson | offenhauser | f row 14 : 52 | jim rathmann2 | john zink | watson | offenhauser | f row 15 : 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 16 : 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f row 17 : 98 | johnnie parsons | agajanian | kuzma | offenhauser | f
table_csv/204_511.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ] }
[ "who were all of the drivers?" ]
2
jimmy bryan, john lawrence, jack fairman, ninian sanderson, bob veith, jean behra, jean behra, pat o'connor, mario bornigia, tony bettenhausen, eddie sachs, ray crawford, troy ruttman, jim rathmann2, paul russo, andy linden, johnnie parsons
[ "Number", "Driver", "Entrant", "Chassis", "Engine", "Tyre" ]
who were all of the drivers?
[ [ "1", "Jimmy Bryan", "Dean Van Lines", "Kuzma", "Offenhauser", "F" ], [ "2", "John Lawrence", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "4", "Jack Fairman", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "6", "Ninian Sanderson", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "7", "Bob Veith", "Bob Estes", "Phillips", "Offenhauser", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 250F", "Maserati", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 450S1", "Maserati", "F" ], [ "12", "Pat O'Connor", "Sumar", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "16", "Mario Bornigia", "Scuderia Cottione", "Ferrari", "Ferrari", "?" ], [ "27", "Tony Bettenhausen", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "35", "Eddie Sachs", "Jim Robbins", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "49", "Ray Crawford", "Meguiar Mirror Glaze", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "52", "Troy Ruttman", "John Zink", "Watson", "Offenhauser", "F" ], [ "52", "Jim Rathmann2", "John Zink", "Watson", "Offenhauser", "F" ], [ "54", "Paul Russo", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "73", "Andy Linden", "McNamara Veedol", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "98", "Johnnie Parsons", "Agajanian", "Kuzma", "Offenhauser", "F" ] ]
[ "Jimmy Bryan", "John Lawrence", "Jack Fairman", "Ninian Sanderson", "Bob Veith", "Jean Behra", "Jean Behra", "Pat O'Connor", "Mario Bornigia", "Tony Bettenhausen", "Eddie Sachs", "Ray Crawford", "Troy Ruttman", "Jim Rathmann2", "Paul Russo", "Andy Linden", "Johnnie Parsons" ]
who were all of the drivers? ||
nt-12593
col : number | driver | entrant | chassis | engine | tyre row 1 : 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f row 2 : 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d row 3 : 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d row 4 : 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d row 5 : 7 | bob veith | bob estes | phillips | offenhauser | f row 6 : 8 | jean behra | maserati | maserati 250f | maserati | f row 7 : 8 | jean behra | maserati | maserati 450s1 | maserati | f row 8 : 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f row 9 : 16 | mario bornigia | scuderia cottione | ferrari | ferrari | ? row 10 : 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 11 : 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f row 12 : 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f row 13 : 52 | troy ruttman | john zink | watson | offenhauser | f row 14 : 52 | jim rathmann2 | john zink | watson | offenhauser | f row 15 : 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 16 : 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f row 17 : 98 | johnnie parsons | agajanian | kuzma | offenhauser | f
table_csv/204_511.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ] }
[ "who were all of the drivers?", "of these, which chassis did each use?" ]
2
kuzma, jaguar d-type, jaguar d-type, jaguar d-type, phillips, maserati 250f, maserati 450s1, kurtis kraft 500g, ferrari, kurtis kraft 500f, kurtis kraft 500g, kurtis kraft 500g, watson, watson, kurtis kraft 500f, kurtis kraft 500g, kuzma
[ "Number", "Driver", "Entrant", "Chassis", "Engine", "Tyre" ]
of these, which chassis did each use?
[ [ "1", "Jimmy Bryan", "Dean Van Lines", "Kuzma", "Offenhauser", "F" ], [ "2", "John Lawrence", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "4", "Jack Fairman", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "6", "Ninian Sanderson", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "7", "Bob Veith", "Bob Estes", "Phillips", "Offenhauser", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 250F", "Maserati", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 450S1", "Maserati", "F" ], [ "12", "Pat O'Connor", "Sumar", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "16", "Mario Bornigia", "Scuderia Cottione", "Ferrari", "Ferrari", "?" ], [ "27", "Tony Bettenhausen", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "35", "Eddie Sachs", "Jim Robbins", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "49", "Ray Crawford", "Meguiar Mirror Glaze", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "52", "Troy Ruttman", "John Zink", "Watson", "Offenhauser", "F" ], [ "52", "Jim Rathmann2", "John Zink", "Watson", "Offenhauser", "F" ], [ "54", "Paul Russo", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "73", "Andy Linden", "McNamara Veedol", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "98", "Johnnie Parsons", "Agajanian", "Kuzma", "Offenhauser", "F" ] ]
[ "Kuzma", "Jaguar D-Type", "Jaguar D-Type", "Jaguar D-Type", "Phillips", "Maserati 250F", "Maserati 450S1", "Kurtis Kraft 500G", "Ferrari", "Kurtis Kraft 500F", "Kurtis Kraft 500G", "Kurtis Kraft 500G", "Watson", "Watson", "Kurtis Kraft 500F", "Kurtis Kraft 500G", "Kuzma" ]
of these, which chassis did each use? || who were all of the drivers?
nt-12593
col : number | driver | entrant | chassis | engine | tyre row 1 : 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f row 2 : 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d row 3 : 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d row 4 : 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d row 5 : 7 | bob veith | bob estes | phillips | offenhauser | f row 6 : 8 | jean behra | maserati | maserati 250f | maserati | f row 7 : 8 | jean behra | maserati | maserati 450s1 | maserati | f row 8 : 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f row 9 : 16 | mario bornigia | scuderia cottione | ferrari | ferrari | ? row 10 : 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 11 : 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f row 12 : 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f row 13 : 52 | troy ruttman | john zink | watson | offenhauser | f row 14 : 52 | jim rathmann2 | john zink | watson | offenhauser | f row 15 : 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 16 : 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f row 17 : 98 | johnnie parsons | agajanian | kuzma | offenhauser | f
table_csv/204_511.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "who were all of the drivers?", "of these, which chassis did each use?", "which driver used a ferrari chassis?" ]
2
mario bornigia
[ "Number", "Driver", "Entrant", "Chassis", "Engine", "Tyre" ]
which driver used a ferrari chassis?
[ [ "1", "Jimmy Bryan", "Dean Van Lines", "Kuzma", "Offenhauser", "F" ], [ "2", "John Lawrence", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "4", "Jack Fairman", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "6", "Ninian Sanderson", "Ecurie Ecosse", "Jaguar D-Type", "Jaguar", "D" ], [ "7", "Bob Veith", "Bob Estes", "Phillips", "Offenhauser", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 250F", "Maserati", "F" ], [ "8", "Jean Behra", "Maserati", "Maserati 450S1", "Maserati", "F" ], [ "12", "Pat O'Connor", "Sumar", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "16", "Mario Bornigia", "Scuderia Cottione", "Ferrari", "Ferrari", "?" ], [ "27", "Tony Bettenhausen", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "35", "Eddie Sachs", "Jim Robbins", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "49", "Ray Crawford", "Meguiar Mirror Glaze", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "52", "Troy Ruttman", "John Zink", "Watson", "Offenhauser", "F" ], [ "52", "Jim Rathmann2", "John Zink", "Watson", "Offenhauser", "F" ], [ "54", "Paul Russo", "Novi Auto Air Conditioning", "Kurtis Kraft 500F", "Novi (s/c)", "F" ], [ "73", "Andy Linden", "McNamara Veedol", "Kurtis Kraft 500G", "Offenhauser", "F" ], [ "98", "Johnnie Parsons", "Agajanian", "Kuzma", "Offenhauser", "F" ] ]
[ "Mario Bornigia" ]
which driver used a ferrari chassis? || of these, which chassis did each use? | who were all of the drivers?