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nt-26
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | malaga cf | 42 | 79 | 22 | 13 | 7 | 72 | 47 | 25 row 2 : 2 | atletico de madrid b 1 | 42 | 74 | 21 | 11 | 10 | 73 | 51 | 22 row 3 : 3 | cd numancia | 42 | 73 | 21 | 10 | 11 | 68 | 40 | 28 row 4 : 4 ...
table_csv/204_256.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 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, 1...
[ "what are all the point scores listed for 1998-99 segunda division?" ]
0
79, 74, 73, 71, 71, 68, 65, 61, 59, 59, 59, 58, 57, 51, 50, 48, 47, 47, 46, 44, 40, 27
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
what are all the point scores listed for 1998-99 segunda division?
[ [ "1", "Malaga CF", "42", "79", "22", "13", "7", "72", "47", "25" ], [ "2", "Atletico de Madrid B 1", "42", "74", "21", "11", "10", "73", "51", "22" ], [ "3", "CD Numancia", "42", "73", "21", "10", "1...
[ "79", "74", "73", "71", "71", "68", "65", "61", "59", "59", "59", "58", "57", "51", "50", "48", "47", "47", "46", "44", "40", "27" ]
what are all the point scores listed for 1998-99 segunda division? ||
nt-26
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | malaga cf | 42 | 79 | 22 | 13 | 7 | 72 | 47 | 25 row 2 : 2 | atletico de madrid b 1 | 42 | 74 | 21 | 11 | 10 | 73 | 51 | 22 row 3 : 3 | cd numancia | 42 | 73 | 21 | 10 | 11 | 68 | 40 | 28 row 4 : 4 ...
table_csv/204_256.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what are all the point scores listed for 1998-99 segunda division?", "what club had a point score of 79?" ]
0
malaga cf
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
what club had a point score of 79?
[ [ "1", "Malaga CF", "42", "79", "22", "13", "7", "72", "47", "25" ], [ "2", "Atletico de Madrid B 1", "42", "74", "21", "11", "10", "73", "51", "22" ], [ "3", "CD Numancia", "42", "73", "21", "10", "1...
[ "Malaga CF" ]
what club had a point score of 79? || what are all the point scores listed for 1998-99 segunda division?
nt-26
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | malaga cf | 42 | 79 | 22 | 13 | 7 | 72 | 47 | 25 row 2 : 2 | atletico de madrid b 1 | 42 | 74 | 21 | 11 | 10 | 73 | 51 | 22 row 3 : 3 | cd numancia | 42 | 73 | 21 | 10 | 11 | 68 | 40 | 28 row 4 : 4 ...
table_csv/204_256.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 ] }
[ "which 10 clubs scored the most points?" ]
1
malaga cf, atletico de madrid b 1, cd numancia, sevilla fc, rayo vallecano, ud las palmas, cd toledo, sd compostela, sporting de gijon, cp merida
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
which 10 clubs scored the most points?
[ [ "1", "Malaga CF", "42", "79", "22", "13", "7", "72", "47", "25" ], [ "2", "Atletico de Madrid B 1", "42", "74", "21", "11", "10", "73", "51", "22" ], [ "3", "CD Numancia", "42", "73", "21", "10", "1...
[ "Malaga CF", "Atletico de Madrid B 1", "CD Numancia", "Sevilla FC", "Rayo Vallecano", "UD Las Palmas", "CD Toledo", "SD Compostela", "Sporting de Gijon", "CP Merida" ]
which 10 clubs scored the most points? ||
nt-26
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | malaga cf | 42 | 79 | 22 | 13 | 7 | 72 | 47 | 25 row 2 : 2 | atletico de madrid b 1 | 42 | 74 | 21 | 11 | 10 | 73 | 51 | 22 row 3 : 3 | cd numancia | 42 | 73 | 21 | 10 | 11 | 68 | 40 | 28 row 4 : 4 ...
table_csv/204_256.csv
1
{ "column_index": [ 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4 ] }
[ "which 10 clubs scored the most points?", "which of those clubs score at least 70 points?" ]
1
malaga cf, atletico de madrid b 1, cd numancia, sevilla fc, rayo vallecano
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
which of those clubs score at least 70 points?
[ [ "1", "Malaga CF", "42", "79", "22", "13", "7", "72", "47", "25" ], [ "2", "Atletico de Madrid B 1", "42", "74", "21", "11", "10", "73", "51", "22" ], [ "3", "CD Numancia", "42", "73", "21", "10", "1...
[ "Malaga CF", "Atletico de Madrid B 1", "CD Numancia", "Sevilla FC", "Rayo Vallecano" ]
which of those clubs score at least 70 points? || which 10 clubs scored the most points?
nt-26
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | malaga cf | 42 | 79 | 22 | 13 | 7 | 72 | 47 | 25 row 2 : 2 | atletico de madrid b 1 | 42 | 74 | 21 | 11 | 10 | 73 | 51 | 22 row 3 : 3 | cd numancia | 42 | 73 | 21 | 10 | 11 | 68 | 40 | 28 row 4 : 4 ...
table_csv/204_256.csv
2
{ "column_index": [ 3 ], "row_index": [ 0 ] }
[ "which 10 clubs scored the most points?", "which of those clubs score at least 70 points?", "between those 5 clubs, what was the most points scored?" ]
1
79
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
between those 5 clubs, what was the most points scored?
[ [ "1", "Malaga CF", "42", "79", "22", "13", "7", "72", "47", "25" ], [ "2", "Atletico de Madrid B 1", "42", "74", "21", "11", "10", "73", "51", "22" ], [ "3", "CD Numancia", "42", "73", "21", "10", "1...
[ "79" ]
between those 5 clubs, what was the most points scored? || which of those clubs score at least 70 points? | which 10 clubs scored the most points?
nt-26
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | malaga cf | 42 | 79 | 22 | 13 | 7 | 72 | 47 | 25 row 2 : 2 | atletico de madrid b 1 | 42 | 74 | 21 | 11 | 10 | 73 | 51 | 22 row 3 : 3 | cd numancia | 42 | 73 | 21 | 10 | 11 | 68 | 40 | 28 row 4 : 4 ...
table_csv/204_256.csv
3
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which 10 clubs scored the most points?", "which of those clubs score at least 70 points?", "between those 5 clubs, what was the most points scored?", "which club scored those 79 points?" ]
1
malaga cf
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
which club scored those 79 points?
[ [ "1", "Malaga CF", "42", "79", "22", "13", "7", "72", "47", "25" ], [ "2", "Atletico de Madrid B 1", "42", "74", "21", "11", "10", "73", "51", "22" ], [ "3", "CD Numancia", "42", "73", "21", "10", "1...
[ "Malaga CF" ]
which club scored those 79 points? || between those 5 clubs, what was the most points scored? | which of those clubs score at least 70 points? | which 10 clubs scored the most points?
nt-26
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | malaga cf | 42 | 79 | 22 | 13 | 7 | 72 | 47 | 25 row 2 : 2 | atletico de madrid b 1 | 42 | 74 | 21 | 11 | 10 | 73 | 51 | 22 row 3 : 3 | cd numancia | 42 | 73 | 21 | 10 | 11 | 68 | 40 | 28 row 4 : 4 ...
table_csv/204_256.csv
0
{ "column_index": [ 0, 1, 1, 1, 1, 1 ], "row_index": [ 0, 0, 1, 2, 3, 4 ] }
[ "which teams scored 70+ points" ]
2
1, malaga cf, atletico de madrid b 1, cd numancia, sevilla fc, rayo vallecano
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
which teams scored 70+ points
[ [ "1", "Malaga CF", "42", "79", "22", "13", "7", "72", "47", "25" ], [ "2", "Atletico de Madrid B 1", "42", "74", "21", "11", "10", "73", "51", "22" ], [ "3", "CD Numancia", "42", "73", "21", "10", "1...
[ "1", "Malaga CF", "Atletico de Madrid B 1", "CD Numancia", "Sevilla FC", "Rayo Vallecano" ]
which teams scored 70+ points ||
nt-26
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | malaga cf | 42 | 79 | 22 | 13 | 7 | 72 | 47 | 25 row 2 : 2 | atletico de madrid b 1 | 42 | 74 | 21 | 11 | 10 | 73 | 51 | 22 row 3 : 3 | cd numancia | 42 | 73 | 21 | 10 | 11 | 68 | 40 | 28 row 4 : 4 ...
table_csv/204_256.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which teams scored 70+ points", "who scored 79?" ]
2
malaga cf
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
who scored 79?
[ [ "1", "Malaga CF", "42", "79", "22", "13", "7", "72", "47", "25" ], [ "2", "Atletico de Madrid B 1", "42", "74", "21", "11", "10", "73", "51", "22" ], [ "3", "CD Numancia", "42", "73", "21", "10", "1...
[ "Malaga CF" ]
who scored 79? || which teams scored 70+ points
nt-1039
col : medal | name | sport | event row 1 : silver | nan | badminton | men's team row 2 : silver | aparna popat | badminton | women's singles row 3 : silver | jitender kumar | boxing | middleweight row 4 : silver | jaspal rana | shooting | men's 25 m air pistol row 5 : silver | jaspal rana satendra kumar | shooting | me...
table_csv/204_103.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what players received silver medals?" ]
0
aparna popat, jitender kumar, jaspal rana, jaspal rana satendra kumar, dharmaraj wilson, arumugam k. pandian, arumugam k. pandian, satheesha rai, satheesha rai
[ "Medal", "Name", "Sport", "Event" ]
what players received silver medals?
[ [ "Silver", "nan", "Badminton", "Men's team" ], [ "Silver", "Aparna Popat", "Badminton", "Women's singles" ], [ "Silver", "Jitender Kumar", "Boxing", "Middleweight" ], [ "Silver", "Jaspal Rana", "Shooting", "Men's 25 m Air Pistol" ], [ ...
[ "Aparna Popat", "Jitender Kumar", "Jaspal Rana", "Jaspal Rana Satendra Kumar", "Dharmaraj Wilson", "Arumugam K. Pandian", "Arumugam K. Pandian", "Satheesha Rai", "Satheesha Rai" ]
what players received silver medals? ||
nt-1039
col : medal | name | sport | event row 1 : silver | nan | badminton | men's team row 2 : silver | aparna popat | badminton | women's singles row 3 : silver | jitender kumar | boxing | middleweight row 4 : silver | jaspal rana | shooting | men's 25 m air pistol row 5 : silver | jaspal rana satendra kumar | shooting | me...
table_csv/204_103.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what players received silver medals?", "of these, which received a silver medal in women's singles?" ]
0
aparna popat
[ "Medal", "Name", "Sport", "Event" ]
of these, which received a silver medal in women's singles?
[ [ "Silver", "nan", "Badminton", "Men's team" ], [ "Silver", "Aparna Popat", "Badminton", "Women's singles" ], [ "Silver", "Jitender Kumar", "Boxing", "Middleweight" ], [ "Silver", "Jaspal Rana", "Shooting", "Men's 25 m Air Pistol" ], [ ...
[ "Aparna Popat" ]
of these, which received a silver medal in women's singles? || what players received silver medals?
nt-1039
col : medal | name | sport | event row 1 : silver | nan | badminton | men's team row 2 : silver | aparna popat | badminton | women's singles row 3 : silver | jitender kumar | boxing | middleweight row 4 : silver | jaspal rana | shooting | men's 25 m air pistol row 5 : silver | jaspal rana satendra kumar | shooting | me...
table_csv/204_103.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 ] }
[ "who are all the players?" ]
1
, aparna popat, jitender kumar, jaspal rana, jaspal rana satendra kumar, dharmaraj wilson, arumugam k. pandian, arumugam k. pandian, satheesha rai, satheesha rai
[ "Medal", "Name", "Sport", "Event" ]
who are all the players?
[ [ "Silver", "nan", "Badminton", "Men's team" ], [ "Silver", "Aparna Popat", "Badminton", "Women's singles" ], [ "Silver", "Jitender Kumar", "Boxing", "Middleweight" ], [ "Silver", "Jaspal Rana", "Shooting", "Men's 25 m Air Pistol" ], [ ...
[ "", "Aparna Popat", "Jitender Kumar", "Jaspal Rana", "Jaspal Rana Satendra Kumar", "Dharmaraj Wilson", "Arumugam K. Pandian", "Arumugam K. Pandian", "Satheesha Rai", "Satheesha Rai" ]
who are all the players? ||
nt-1039
col : medal | name | sport | event row 1 : silver | nan | badminton | men's team row 2 : silver | aparna popat | badminton | women's singles row 3 : silver | jitender kumar | boxing | middleweight row 4 : silver | jaspal rana | shooting | men's 25 m air pistol row 5 : silver | jaspal rana satendra kumar | shooting | me...
table_csv/204_103.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 8 ] }
[ "who are all the players?", "of those, which won silver medals?" ]
1
, aparna popat, jitender kumar, jaspal rana, jaspal rana satendra kumar, dharmaraj wilson, arumugam k. pandian, satheesha rai
[ "Medal", "Name", "Sport", "Event" ]
of those, which won silver medals?
[ [ "Silver", "nan", "Badminton", "Men's team" ], [ "Silver", "Aparna Popat", "Badminton", "Women's singles" ], [ "Silver", "Jitender Kumar", "Boxing", "Middleweight" ], [ "Silver", "Jaspal Rana", "Shooting", "Men's 25 m Air Pistol" ], [ ...
[ "", "Aparna Popat", "Jitender Kumar", "Jaspal Rana", "Jaspal Rana Satendra Kumar", "Dharmaraj Wilson", "Arumugam K. Pandian", "Satheesha Rai" ]
of those, which won silver medals? || who are all the players?
nt-1039
col : medal | name | sport | event row 1 : silver | nan | badminton | men's team row 2 : silver | aparna popat | badminton | women's singles row 3 : silver | jitender kumar | boxing | middleweight row 4 : silver | jaspal rana | shooting | men's 25 m air pistol row 5 : silver | jaspal rana satendra kumar | shooting | me...
table_csv/204_103.csv
2
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "who are all the players?", "of those, which won silver medals?", "which competed in women's singles?" ]
1
aparna popat
[ "Medal", "Name", "Sport", "Event" ]
which competed in women's singles?
[ [ "Silver", "nan", "Badminton", "Men's team" ], [ "Silver", "Aparna Popat", "Badminton", "Women's singles" ], [ "Silver", "Jitender Kumar", "Boxing", "Middleweight" ], [ "Silver", "Jaspal Rana", "Shooting", "Men's 25 m Air Pistol" ], [ ...
[ "Aparna Popat" ]
which competed in women's singles? || of those, which won silver medals? | who are all the players?
nt-1039
col : medal | name | sport | event row 1 : silver | nan | badminton | men's team row 2 : silver | aparna popat | badminton | women's singles row 3 : silver | jitender kumar | boxing | middleweight row 4 : silver | jaspal rana | shooting | men's 25 m air pistol row 5 : silver | jaspal rana satendra kumar | shooting | me...
table_csv/204_103.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are the names of all of the women who participated in the 1998 commonwealth games in india?" ]
2
aparna popat, jitender kumar, jaspal rana, jaspal rana satendra kumar, dharmaraj wilson, arumugam k. pandian, arumugam k. pandian, satheesha rai, satheesha rai
[ "Medal", "Name", "Sport", "Event" ]
what are the names of all of the women who participated in the 1998 commonwealth games in india?
[ [ "Silver", "nan", "Badminton", "Men's team" ], [ "Silver", "Aparna Popat", "Badminton", "Women's singles" ], [ "Silver", "Jitender Kumar", "Boxing", "Middleweight" ], [ "Silver", "Jaspal Rana", "Shooting", "Men's 25 m Air Pistol" ], [ ...
[ "Aparna Popat", "Jitender Kumar", "Jaspal Rana", "Jaspal Rana Satendra Kumar", "Dharmaraj Wilson", "Arumugam K. Pandian", "Arumugam K. Pandian", "Satheesha Rai", "Satheesha Rai" ]
what are the names of all of the women who participated in the 1998 commonwealth games in india? ||
nt-1039
col : medal | name | sport | event row 1 : silver | nan | badminton | men's team row 2 : silver | aparna popat | badminton | women's singles row 3 : silver | jitender kumar | boxing | middleweight row 4 : silver | jaspal rana | shooting | men's 25 m air pistol row 5 : silver | jaspal rana satendra kumar | shooting | me...
table_csv/204_103.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what are the names of all of the women who participated in the 1998 commonwealth games in india?", "among those women, which won a silver medal in the women's singles event?" ]
2
aparna popat
[ "Medal", "Name", "Sport", "Event" ]
among those women, which won a silver medal in the women's singles event?
[ [ "Silver", "nan", "Badminton", "Men's team" ], [ "Silver", "Aparna Popat", "Badminton", "Women's singles" ], [ "Silver", "Jitender Kumar", "Boxing", "Middleweight" ], [ "Silver", "Jaspal Rana", "Shooting", "Men's 25 m Air Pistol" ], [ ...
[ "Aparna Popat" ]
among those women, which won a silver medal in the women's singles event? || what are the names of all of the women who participated in the 1998 commonwealth games in india?
nt-6705
col : place | player | country | score | to par | money ($) row 1 : 1 | jack nicklaus | united states | 74-71-69-65=279 | -9 | 144,000 row 2 : t2 | tom kite | united states | 70-74-68-68=280 | -8 | 70,400 row 3 : t2 | greg norman | australia | 70-72-68-70=280 | -8 | 70,400 row 4 : 4 | seve ballesteros | spain | 71-68-7...
table_csv/203_499.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "who were all of the players?" ]
0
jack nicklaus, tom kite, greg norman, seve ballesteros, nick price, jay haas, tom watson, tsuneyuki nakajima, payne stewart, bob tway
[ "Place", "Player", "Country", "Score", "To par", "Money ($)" ]
who were all of the players?
[ [ "1", "Jack Nicklaus", "United States", "74-71-69-65=279", "-9", "144,000" ], [ "T2", "Tom Kite", "United States", "70-74-68-68=280", "-8", "70,400" ], [ "T2", "Greg Norman", "Australia", "70-72-68-70=280", "-8", "70,400" ], [ ...
[ "Jack Nicklaus", "Tom Kite", "Greg Norman", "Seve Ballesteros", "Nick Price", "Jay Haas", "Tom Watson", "Tsuneyuki Nakajima", "Payne Stewart", "Bob Tway" ]
who were all of the players? ||
nt-6705
col : place | player | country | score | to par | money ($) row 1 : 1 | jack nicklaus | united states | 74-71-69-65=279 | -9 | 144,000 row 2 : t2 | tom kite | united states | 70-74-68-68=280 | -8 | 70,400 row 3 : t2 | greg norman | australia | 70-72-68-70=280 | -8 | 70,400 row 4 : 4 | seve ballesteros | spain | 71-68-7...
table_csv/203_499.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "who were all of the players?", "what were their places?" ]
0
1, t2, t2, 4, 5, t6, t6, t8, t8, t8
[ "Place", "Player", "Country", "Score", "To par", "Money ($)" ]
what were their places?
[ [ "1", "Jack Nicklaus", "United States", "74-71-69-65=279", "-9", "144,000" ], [ "T2", "Tom Kite", "United States", "70-74-68-68=280", "-8", "70,400" ], [ "T2", "Greg Norman", "Australia", "70-72-68-70=280", "-8", "70,400" ], [ ...
[ "1", "T2", "T2", "4", "5", "T6", "T6", "T8", "T8", "T8" ]
what were their places? || who were all of the players?
nt-6705
col : place | player | country | score | to par | money ($) row 1 : 1 | jack nicklaus | united states | 74-71-69-65=279 | -9 | 144,000 row 2 : t2 | tom kite | united states | 70-74-68-68=280 | -8 | 70,400 row 3 : t2 | greg norman | australia | 70-72-68-70=280 | -8 | 70,400 row 4 : 4 | seve ballesteros | spain | 71-68-7...
table_csv/203_499.csv
2
{ "column_index": [ 1 ], "row_index": [ 3 ] }
[ "who were all of the players?", "what were their places?", "and who reached 4th place?" ]
0
seve ballesteros
[ "Place", "Player", "Country", "Score", "To par", "Money ($)" ]
and who reached 4th place?
[ [ "1", "Jack Nicklaus", "United States", "74-71-69-65=279", "-9", "144,000" ], [ "T2", "Tom Kite", "United States", "70-74-68-68=280", "-8", "70,400" ], [ "T2", "Greg Norman", "Australia", "70-72-68-70=280", "-8", "70,400" ], [ ...
[ "Seve Ballesteros" ]
and who reached 4th place? || what were their places? | who were all of the players?
nt-6705
col : place | player | country | score | to par | money ($) row 1 : 1 | jack nicklaus | united states | 74-71-69-65=279 | -9 | 144,000 row 2 : t2 | tom kite | united states | 70-74-68-68=280 | -8 | 70,400 row 3 : t2 | greg norman | australia | 70-72-68-70=280 | -8 | 70,400 row 4 : 4 | seve ballesteros | spain | 71-68-7...
table_csv/203_499.csv
0
{ "column_index": [ 4 ], "row_index": [ 3 ] }
[ "what was the par of the fourth place golfer?" ]
1
-7
[ "Place", "Player", "Country", "Score", "To par", "Money ($)" ]
what was the par of the fourth place golfer?
[ [ "1", "Jack Nicklaus", "United States", "74-71-69-65=279", "-9", "144,000" ], [ "T2", "Tom Kite", "United States", "70-74-68-68=280", "-8", "70,400" ], [ "T2", "Greg Norman", "Australia", "70-72-68-70=280", "-8", "70,400" ], [ ...
[ "-7" ]
what was the par of the fourth place golfer? ||
nt-6705
col : place | player | country | score | to par | money ($) row 1 : 1 | jack nicklaus | united states | 74-71-69-65=279 | -9 | 144,000 row 2 : t2 | tom kite | united states | 70-74-68-68=280 | -8 | 70,400 row 3 : t2 | greg norman | australia | 70-72-68-70=280 | -8 | 70,400 row 4 : 4 | seve ballesteros | spain | 71-68-7...
table_csv/203_499.csv
1
{ "column_index": [ 1 ], "row_index": [ 3 ] }
[ "what was the par of the fourth place golfer?", "what golfer came in at -7 under par?" ]
1
seve ballesteros
[ "Place", "Player", "Country", "Score", "To par", "Money ($)" ]
what golfer came in at -7 under par?
[ [ "1", "Jack Nicklaus", "United States", "74-71-69-65=279", "-9", "144,000" ], [ "T2", "Tom Kite", "United States", "70-74-68-68=280", "-8", "70,400" ], [ "T2", "Greg Norman", "Australia", "70-72-68-70=280", "-8", "70,400" ], [ ...
[ "Seve Ballesteros" ]
what golfer came in at -7 under par? || what was the par of the fourth place golfer?
nt-6705
col : place | player | country | score | to par | money ($) row 1 : 1 | jack nicklaus | united states | 74-71-69-65=279 | -9 | 144,000 row 2 : t2 | tom kite | united states | 70-74-68-68=280 | -8 | 70,400 row 3 : t2 | greg norman | australia | 70-72-68-70=280 | -8 | 70,400 row 4 : 4 | seve ballesteros | spain | 71-68-7...
table_csv/203_499.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all the players in the 1986 masters tournament?" ]
2
jack nicklaus, tom kite, greg norman, seve ballesteros, nick price, jay haas, tom watson, tsuneyuki nakajima, payne stewart, bob tway
[ "Place", "Player", "Country", "Score", "To par", "Money ($)" ]
what are all the players in the 1986 masters tournament?
[ [ "1", "Jack Nicklaus", "United States", "74-71-69-65=279", "-9", "144,000" ], [ "T2", "Tom Kite", "United States", "70-74-68-68=280", "-8", "70,400" ], [ "T2", "Greg Norman", "Australia", "70-72-68-70=280", "-8", "70,400" ], [ ...
[ "Jack Nicklaus", "Tom Kite", "Greg Norman", "Seve Ballesteros", "Nick Price", "Jay Haas", "Tom Watson", "Tsuneyuki Nakajima", "Payne Stewart", "Bob Tway" ]
what are all the players in the 1986 masters tournament? ||
nt-6705
col : place | player | country | score | to par | money ($) row 1 : 1 | jack nicklaus | united states | 74-71-69-65=279 | -9 | 144,000 row 2 : t2 | tom kite | united states | 70-74-68-68=280 | -8 | 70,400 row 3 : t2 | greg norman | australia | 70-72-68-70=280 | -8 | 70,400 row 4 : 4 | seve ballesteros | spain | 71-68-7...
table_csv/203_499.csv
1
{ "column_index": [ 1 ], "row_index": [ 3 ] }
[ "what are all the players in the 1986 masters tournament?", "of these which placed 4th?" ]
2
seve ballesteros
[ "Place", "Player", "Country", "Score", "To par", "Money ($)" ]
of these which placed 4th?
[ [ "1", "Jack Nicklaus", "United States", "74-71-69-65=279", "-9", "144,000" ], [ "T2", "Tom Kite", "United States", "70-74-68-68=280", "-8", "70,400" ], [ "T2", "Greg Norman", "Australia", "70-72-68-70=280", "-8", "70,400" ], [ ...
[ "Seve Ballesteros" ]
of these which placed 4th? || what are all the players in the 1986 masters tournament?
nt-5722
col : rank | nation | gold | silver | bronze | total row 1 : 1 | germany | 17 | 9 | 14 | 40 row 2 : 2 | russia | 12 | 16 | 8 | 36 row 3 : 3 | ukraine | 6 | 11 | 9 | 26 row 4 : 4 | norway | 6 | 2 | 7 | 15 row 5 : 5 | france | 5 | 4 | 3 | 12 row 6 : 6 | switzerland | 3 | 5 | 3 | 11 row 7 : 7 | finland | 3 | 2 | 4 | 9 row...
table_csv/204_761.csv
0
{ "column_index": [ 1, 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, 18 ]...
[ "which teams competed at the winter paralympics?" ]
0
germany, russia, ukraine, norway, france, switzerland, finland, japan, netherlands, sweden, denmark, unified team, austria, slovakia, italy, poland, canada, belarus, united states
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which teams competed at the winter paralympics?
[ [ "1", "Germany", "17", "9", "14", "40" ], [ "2", "Russia", "12", "16", "8", "36" ], [ "3", "Ukraine", "6", "11", "9", "26" ], [ "4", "Norway", "6", "2", "7", "15" ], [ "5", "France", "5", ...
[ "Germany", "Russia", "Ukraine", "Norway", "France", "Switzerland", "Finland", "Japan", "Netherlands", "Sweden", "Denmark", "Unified Team", "Austria", "Slovakia", "Italy", "Poland", "Canada", "Belarus", "United States" ]
which teams competed at the winter paralympics? ||
nt-5722
col : rank | nation | gold | silver | bronze | total row 1 : 1 | germany | 17 | 9 | 14 | 40 row 2 : 2 | russia | 12 | 16 | 8 | 36 row 3 : 3 | ukraine | 6 | 11 | 9 | 26 row 4 : 4 | norway | 6 | 2 | 7 | 15 row 5 : 5 | france | 5 | 4 | 3 | 12 row 6 : 6 | switzerland | 3 | 5 | 3 | 11 row 7 : 7 | finland | 3 | 2 | 4 | 9 row...
table_csv/204_761.csv
1
{ "column_index": [ 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 ] }
[ "which teams competed at the winter paralympics?", "which of those won a gold medal?" ]
0
germany, russia, ukraine, norway, france, switzerland, finland, japan, netherlands, sweden, denmark, unified team
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which of those won a gold medal?
[ [ "1", "Germany", "17", "9", "14", "40" ], [ "2", "Russia", "12", "16", "8", "36" ], [ "3", "Ukraine", "6", "11", "9", "26" ], [ "4", "Norway", "6", "2", "7", "15" ], [ "5", "France", "5", ...
[ "Germany", "Russia", "Ukraine", "Norway", "France", "Switzerland", "Finland", "Japan", "Netherlands", "Sweden", "Denmark", "Unified Team" ]
which of those won a gold medal? || which teams competed at the winter paralympics?
nt-5722
col : rank | nation | gold | silver | bronze | total row 1 : 1 | germany | 17 | 9 | 14 | 40 row 2 : 2 | russia | 12 | 16 | 8 | 36 row 3 : 3 | ukraine | 6 | 11 | 9 | 26 row 4 : 4 | norway | 6 | 2 | 7 | 15 row 5 : 5 | france | 5 | 4 | 3 | 12 row 6 : 6 | switzerland | 3 | 5 | 3 | 11 row 7 : 7 | finland | 3 | 2 | 4 | 9 row...
table_csv/204_761.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which teams competed at the winter paralympics?", "which of those won a gold medal?", "which of those won the most bronze medals?" ]
0
germany
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which of those won the most bronze medals?
[ [ "1", "Germany", "17", "9", "14", "40" ], [ "2", "Russia", "12", "16", "8", "36" ], [ "3", "Ukraine", "6", "11", "9", "26" ], [ "4", "Norway", "6", "2", "7", "15" ], [ "5", "France", "5", ...
[ "Germany" ]
which of those won the most bronze medals? || which of those won a gold medal? | which teams competed at the winter paralympics?
nt-5722
col : rank | nation | gold | silver | bronze | total row 1 : 1 | germany | 17 | 9 | 14 | 40 row 2 : 2 | russia | 12 | 16 | 8 | 36 row 3 : 3 | ukraine | 6 | 11 | 9 | 26 row 4 : 4 | norway | 6 | 2 | 7 | 15 row 5 : 5 | france | 5 | 4 | 3 | 12 row 6 : 6 | switzerland | 3 | 5 | 3 | 11 row 7 : 7 | finland | 3 | 2 | 4 | 9 row...
table_csv/204_761.csv
0
{ "column_index": [ 1, 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, 18 ]...
[ "which nations competed during the biathlon at the winter paralympics?" ]
1
germany, russia, ukraine, norway, france, switzerland, finland, japan, netherlands, sweden, denmark, unified team, austria, slovakia, italy, poland, canada, belarus, united states
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which nations competed during the biathlon at the winter paralympics?
[ [ "1", "Germany", "17", "9", "14", "40" ], [ "2", "Russia", "12", "16", "8", "36" ], [ "3", "Ukraine", "6", "11", "9", "26" ], [ "4", "Norway", "6", "2", "7", "15" ], [ "5", "France", "5", ...
[ "Germany", "Russia", "Ukraine", "Norway", "France", "Switzerland", "Finland", "Japan", "Netherlands", "Sweden", "Denmark", "Unified Team", "Austria", "Slovakia", "Italy", "Poland", "Canada", "Belarus", "United States" ]
which nations competed during the biathlon at the winter paralympics? ||
nt-5722
col : rank | nation | gold | silver | bronze | total row 1 : 1 | germany | 17 | 9 | 14 | 40 row 2 : 2 | russia | 12 | 16 | 8 | 36 row 3 : 3 | ukraine | 6 | 11 | 9 | 26 row 4 : 4 | norway | 6 | 2 | 7 | 15 row 5 : 5 | france | 5 | 4 | 3 | 12 row 6 : 6 | switzerland | 3 | 5 | 3 | 11 row 7 : 7 | finland | 3 | 2 | 4 | 9 row...
table_csv/204_761.csv
1
{ "column_index": [ 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 ]...
[ "which nations competed during the biathlon at the winter paralympics?", "how many bronze medals did they win?" ]
1
14, 8, 9, 7, 3, 3, 4, 1, 1, 2, 1, 0, 0, 1, 1, 1, 1, 1, 1
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many bronze medals did they win?
[ [ "1", "Germany", "17", "9", "14", "40" ], [ "2", "Russia", "12", "16", "8", "36" ], [ "3", "Ukraine", "6", "11", "9", "26" ], [ "4", "Norway", "6", "2", "7", "15" ], [ "5", "France", "5", ...
[ "14", "8", "9", "7", "3", "3", "4", "1", "1", "2", "1", "0", "0", "1", "1", "1", "1", "1", "1" ]
how many bronze medals did they win? || which nations competed during the biathlon at the winter paralympics?
nt-5722
col : rank | nation | gold | silver | bronze | total row 1 : 1 | germany | 17 | 9 | 14 | 40 row 2 : 2 | russia | 12 | 16 | 8 | 36 row 3 : 3 | ukraine | 6 | 11 | 9 | 26 row 4 : 4 | norway | 6 | 2 | 7 | 15 row 5 : 5 | france | 5 | 4 | 3 | 12 row 6 : 6 | switzerland | 3 | 5 | 3 | 11 row 7 : 7 | finland | 3 | 2 | 4 | 9 row...
table_csv/204_761.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which nations competed during the biathlon at the winter paralympics?", "how many bronze medals did they win?", "of those nations, which won more than 10 bronze medals?" ]
1
germany
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of those nations, which won more than 10 bronze medals?
[ [ "1", "Germany", "17", "9", "14", "40" ], [ "2", "Russia", "12", "16", "8", "36" ], [ "3", "Ukraine", "6", "11", "9", "26" ], [ "4", "Norway", "6", "2", "7", "15" ], [ "5", "France", "5", ...
[ "Germany" ]
of those nations, which won more than 10 bronze medals? || how many bronze medals did they win? | which nations competed during the biathlon at the winter paralympics?
nt-5722
col : rank | nation | gold | silver | bronze | total row 1 : 1 | germany | 17 | 9 | 14 | 40 row 2 : 2 | russia | 12 | 16 | 8 | 36 row 3 : 3 | ukraine | 6 | 11 | 9 | 26 row 4 : 4 | norway | 6 | 2 | 7 | 15 row 5 : 5 | france | 5 | 4 | 3 | 12 row 6 : 6 | switzerland | 3 | 5 | 3 | 11 row 7 : 7 | finland | 3 | 2 | 4 | 9 row...
table_csv/204_761.csv
0
{ "column_index": [ 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3 ] }
[ "which nations have won more than five gold medals?" ]
2
germany, russia, ukraine, norway
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which nations have won more than five gold medals?
[ [ "1", "Germany", "17", "9", "14", "40" ], [ "2", "Russia", "12", "16", "8", "36" ], [ "3", "Ukraine", "6", "11", "9", "26" ], [ "4", "Norway", "6", "2", "7", "15" ], [ "5", "France", "5", ...
[ "Germany", "Russia", "Ukraine", "Norway" ]
which nations have won more than five gold medals? ||
nt-5722
col : rank | nation | gold | silver | bronze | total row 1 : 1 | germany | 17 | 9 | 14 | 40 row 2 : 2 | russia | 12 | 16 | 8 | 36 row 3 : 3 | ukraine | 6 | 11 | 9 | 26 row 4 : 4 | norway | 6 | 2 | 7 | 15 row 5 : 5 | france | 5 | 4 | 3 | 12 row 6 : 6 | switzerland | 3 | 5 | 3 | 11 row 7 : 7 | finland | 3 | 2 | 4 | 9 row...
table_csv/204_761.csv
1
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 1, 2 ] }
[ "which nations have won more than five gold medals?", "of these nations, which have won more than five silver medals?" ]
2
germany, russia, ukraine
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of these nations, which have won more than five silver medals?
[ [ "1", "Germany", "17", "9", "14", "40" ], [ "2", "Russia", "12", "16", "8", "36" ], [ "3", "Ukraine", "6", "11", "9", "26" ], [ "4", "Norway", "6", "2", "7", "15" ], [ "5", "France", "5", ...
[ "Germany", "Russia", "Ukraine" ]
of these nations, which have won more than five silver medals? || which nations have won more than five gold medals?
nt-5722
col : rank | nation | gold | silver | bronze | total row 1 : 1 | germany | 17 | 9 | 14 | 40 row 2 : 2 | russia | 12 | 16 | 8 | 36 row 3 : 3 | ukraine | 6 | 11 | 9 | 26 row 4 : 4 | norway | 6 | 2 | 7 | 15 row 5 : 5 | france | 5 | 4 | 3 | 12 row 6 : 6 | switzerland | 3 | 5 | 3 | 11 row 7 : 7 | finland | 3 | 2 | 4 | 9 row...
table_csv/204_761.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which nations have won more than five gold medals?", "of these nations, which have won more than five silver medals?", "of the remaining nations, which has won more than ten bronze medals?" ]
2
germany
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of the remaining nations, which has won more than ten bronze medals?
[ [ "1", "Germany", "17", "9", "14", "40" ], [ "2", "Russia", "12", "16", "8", "36" ], [ "3", "Ukraine", "6", "11", "9", "26" ], [ "4", "Norway", "6", "2", "7", "15" ], [ "5", "France", "5", ...
[ "Germany" ]
of the remaining nations, which has won more than ten bronze medals? || of these nations, which have won more than five silver medals? | which nations have won more than five gold medals?
ns-3453
col : issue | volume | title | main feature story | first/early appearance story/stories | release date row 1 : 1 | 24 | the avengers | ultron unlimited (avengers vol 3 #0 and #19 | the coming of the avengers (avengers vol 1 #1) | 27 dec 2013 row 2 : 2 | 12 | spider-man | happy birthday (amazing spider-man vol 2 #57-58...
table_csv/204_696.csv
0
{ "column_index": [ 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 ] }
[ "what are all of the novel titles?" ]
0
the avengers, spider-man, wolverine, hawkeye, the hulk, jean grey, power man, captain america, iron man, the x-men, black widow, the human torch (jim hammond), warriors three, cyclops, captain marvel
[ "Issue", "Volume", "Title", "Main Feature Story", "First/Early Appearance Story/Stories", "Release Date" ]
what are all of the novel titles?
[ [ "1", "24", "The Avengers", "Ultron Unlimited (Avengers Vol 3 #0 and #19", "The Coming Of The Avengers (Avengers Vol 1 #1)", "27 Dec 2013" ], [ "2", "12", "Spider-Man", "Happy Birthday (Amazing Spider-Man Vol 2 #57-58", "Spider-Man (Amazing Fantasy #15) The Sinister ...
[ "The Avengers", "Spider-Man", "Wolverine", "Hawkeye", "The Hulk", "Jean Grey", "Power Man", "Captain America", "Iron Man", "The X-Men", "Black Widow", "The Human Torch (Jim Hammond)", "Warriors Three", "Cyclops", "Captain Marvel" ]
what are all of the novel titles? ||
ns-3453
col : issue | volume | title | main feature story | first/early appearance story/stories | release date row 1 : 1 | 24 | the avengers | ultron unlimited (avengers vol 3 #0 and #19 | the coming of the avengers (avengers vol 1 #1) | 27 dec 2013 row 2 : 2 | 12 | spider-man | happy birthday (amazing spider-man vol 2 #57-58...
table_csv/204_696.csv
1
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "what are all of the novel titles?", "when were they released?" ]
0
27 dec 2013, 15 jan 2014, 29 jan 2014, 12 feb 2014, 26 feb 2014, 12 mar 2014, 26 mar 2014, 9 apr 2014, 23 apr 2014, 7 may 2014, 21 may 2014, 4 june 2014, 18 june 2014, 2 july 2014, 16 july 2014
[ "Issue", "Volume", "Title", "Main Feature Story", "First/Early Appearance Story/Stories", "Release Date" ]
when were they released?
[ [ "1", "24", "The Avengers", "Ultron Unlimited (Avengers Vol 3 #0 and #19", "The Coming Of The Avengers (Avengers Vol 1 #1)", "27 Dec 2013" ], [ "2", "12", "Spider-Man", "Happy Birthday (Amazing Spider-Man Vol 2 #57-58", "Spider-Man (Amazing Fantasy #15) The Sinister ...
[ "27 Dec 2013", "15 Jan 2014", "29 Jan 2014", "12 Feb 2014", "26 Feb 2014", "12 Mar 2014", "26 Mar 2014", "9 Apr 2014", "23 Apr 2014", "7 May 2014", "21 May 2014", "4 June 2014", "18 June 2014", "2 July 2014", "16 July 2014" ]
when were they released? || what are all of the novel titles?
ns-3453
col : issue | volume | title | main feature story | first/early appearance story/stories | release date row 1 : 1 | 24 | the avengers | ultron unlimited (avengers vol 3 #0 and #19 | the coming of the avengers (avengers vol 1 #1) | 27 dec 2013 row 2 : 2 | 12 | spider-man | happy birthday (amazing spider-man vol 2 #57-58...
table_csv/204_696.csv
2
{ "column_index": [ 5, 5 ], "row_index": [ 7, 9 ] }
[ "what are all of the novel titles?", "when were they released?", "what about just x-men and captain america?" ]
0
9 apr 2014, 7 may 2014
[ "Issue", "Volume", "Title", "Main Feature Story", "First/Early Appearance Story/Stories", "Release Date" ]
what about just x-men and captain america?
[ [ "1", "24", "The Avengers", "Ultron Unlimited (Avengers Vol 3 #0 and #19", "The Coming Of The Avengers (Avengers Vol 1 #1)", "27 Dec 2013" ], [ "2", "12", "Spider-Man", "Happy Birthday (Amazing Spider-Man Vol 2 #57-58", "Spider-Man (Amazing Fantasy #15) The Sinister ...
[ "9 Apr 2014", "7 May 2014" ]
what about just x-men and captain america? || when were they released? | what are all of the novel titles?
ns-3453
col : issue | volume | title | main feature story | first/early appearance story/stories | release date row 1 : 1 | 24 | the avengers | ultron unlimited (avengers vol 3 #0 and #19 | the coming of the avengers (avengers vol 1 #1) | 27 dec 2013 row 2 : 2 | 12 | spider-man | happy birthday (amazing spider-man vol 2 #57-58...
table_csv/204_696.csv
3
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "what are all of the novel titles?", "when were they released?", "what about just x-men and captain america?", "which was released first?" ]
0
captain america
[ "Issue", "Volume", "Title", "Main Feature Story", "First/Early Appearance Story/Stories", "Release Date" ]
which was released first?
[ [ "1", "24", "The Avengers", "Ultron Unlimited (Avengers Vol 3 #0 and #19", "The Coming Of The Avengers (Avengers Vol 1 #1)", "27 Dec 2013" ], [ "2", "12", "Spider-Man", "Happy Birthday (Amazing Spider-Man Vol 2 #57-58", "Spider-Man (Amazing Fantasy #15) The Sinister ...
[ "Captain America" ]
which was released first? || what about just x-men and captain america? | when were they released? | what are all of the novel titles?
ns-3453
col : issue | volume | title | main feature story | first/early appearance story/stories | release date row 1 : 1 | 24 | the avengers | ultron unlimited (avengers vol 3 #0 and #19 | the coming of the avengers (avengers vol 1 #1) | 27 dec 2013 row 2 : 2 | 12 | spider-man | happy birthday (amazing spider-man vol 2 #57-58...
table_csv/204_696.csv
0
{ "column_index": [ 5 ], "row_index": [ 9 ] }
[ "when was x-men released?" ]
1
7 may 2014
[ "Issue", "Volume", "Title", "Main Feature Story", "First/Early Appearance Story/Stories", "Release Date" ]
when was x-men released?
[ [ "1", "24", "The Avengers", "Ultron Unlimited (Avengers Vol 3 #0 and #19", "The Coming Of The Avengers (Avengers Vol 1 #1)", "27 Dec 2013" ], [ "2", "12", "Spider-Man", "Happy Birthday (Amazing Spider-Man Vol 2 #57-58", "Spider-Man (Amazing Fantasy #15) The Sinister ...
[ "7 May 2014" ]
when was x-men released? ||
ns-3453
col : issue | volume | title | main feature story | first/early appearance story/stories | release date row 1 : 1 | 24 | the avengers | ultron unlimited (avengers vol 3 #0 and #19 | the coming of the avengers (avengers vol 1 #1) | 27 dec 2013 row 2 : 2 | 12 | spider-man | happy birthday (amazing spider-man vol 2 #57-58...
table_csv/204_696.csv
1
{ "column_index": [ 5 ], "row_index": [ 7 ] }
[ "when was x-men released?", "when was captain america released?" ]
1
9 apr 2014
[ "Issue", "Volume", "Title", "Main Feature Story", "First/Early Appearance Story/Stories", "Release Date" ]
when was captain america released?
[ [ "1", "24", "The Avengers", "Ultron Unlimited (Avengers Vol 3 #0 and #19", "The Coming Of The Avengers (Avengers Vol 1 #1)", "27 Dec 2013" ], [ "2", "12", "Spider-Man", "Happy Birthday (Amazing Spider-Man Vol 2 #57-58", "Spider-Man (Amazing Fantasy #15) The Sinister ...
[ "9 Apr 2014" ]
when was captain america released? || when was x-men released?
ns-3453
col : issue | volume | title | main feature story | first/early appearance story/stories | release date row 1 : 1 | 24 | the avengers | ultron unlimited (avengers vol 3 #0 and #19 | the coming of the avengers (avengers vol 1 #1) | 27 dec 2013 row 2 : 2 | 12 | spider-man | happy birthday (amazing spider-man vol 2 #57-58...
table_csv/204_696.csv
2
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "when was x-men released?", "when was captain america released?", "which of these was released earlier?" ]
1
captain america
[ "Issue", "Volume", "Title", "Main Feature Story", "First/Early Appearance Story/Stories", "Release Date" ]
which of these was released earlier?
[ [ "1", "24", "The Avengers", "Ultron Unlimited (Avengers Vol 3 #0 and #19", "The Coming Of The Avengers (Avengers Vol 1 #1)", "27 Dec 2013" ], [ "2", "12", "Spider-Man", "Happy Birthday (Amazing Spider-Man Vol 2 #57-58", "Spider-Man (Amazing Fantasy #15) The Sinister ...
[ "Captain America" ]
which of these was released earlier? || when was captain america released? | when was x-men released?
ns-3453
col : issue | volume | title | main feature story | first/early appearance story/stories | release date row 1 : 1 | 24 | the avengers | ultron unlimited (avengers vol 3 #0 and #19 | the coming of the avengers (avengers vol 1 #1) | 27 dec 2013 row 2 : 2 | 12 | spider-man | happy birthday (amazing spider-man vol 2 #57-58...
table_csv/204_696.csv
0
{ "column_index": [ 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 ] }
[ "what are all of the x-men and captain america movies?" ]
2
the avengers, spider-man, wolverine, hawkeye, the hulk, jean grey, power man, captain america, iron man, the x-men, black widow, the human torch (jim hammond), warriors three, cyclops, captain marvel
[ "Issue", "Volume", "Title", "Main Feature Story", "First/Early Appearance Story/Stories", "Release Date" ]
what are all of the x-men and captain america movies?
[ [ "1", "24", "The Avengers", "Ultron Unlimited (Avengers Vol 3 #0 and #19", "The Coming Of The Avengers (Avengers Vol 1 #1)", "27 Dec 2013" ], [ "2", "12", "Spider-Man", "Happy Birthday (Amazing Spider-Man Vol 2 #57-58", "Spider-Man (Amazing Fantasy #15) The Sinister ...
[ "The Avengers", "Spider-Man", "Wolverine", "Hawkeye", "The Hulk", "Jean Grey", "Power Man", "Captain America", "Iron Man", "The X-Men", "Black Widow", "The Human Torch (Jim Hammond)", "Warriors Three", "Cyclops", "Captain Marvel" ]
what are all of the x-men and captain america movies? ||
ns-3453
col : issue | volume | title | main feature story | first/early appearance story/stories | release date row 1 : 1 | 24 | the avengers | ultron unlimited (avengers vol 3 #0 and #19 | the coming of the avengers (avengers vol 1 #1) | 27 dec 2013 row 2 : 2 | 12 | spider-man | happy birthday (amazing spider-man vol 2 #57-58...
table_csv/204_696.csv
1
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "what are all of the x-men and captain america movies?", "which of those were released first?" ]
2
captain america
[ "Issue", "Volume", "Title", "Main Feature Story", "First/Early Appearance Story/Stories", "Release Date" ]
which of those were released first?
[ [ "1", "24", "The Avengers", "Ultron Unlimited (Avengers Vol 3 #0 and #19", "The Coming Of The Avengers (Avengers Vol 1 #1)", "27 Dec 2013" ], [ "2", "12", "Spider-Man", "Happy Birthday (Amazing Spider-Man Vol 2 #57-58", "Spider-Man (Amazing Fantasy #15) The Sinister ...
[ "Captain America" ]
which of those were released first? || what are all of the x-men and captain america movies?
nt-13301
col : symbol | gsi | meaning | unicode | description row 1 : ^ | * | base triangulation surveying point | u+25ec | dot in upward-pointing triangle row 2 : nan | * | electronic triangulation point | nan | dot in upward-pointing triangle with flag row 3 : [?] | * | benchmark | u+22a1 | dot in square row 4 : [?] | * | fac...
table_csv/203_540.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, ...
[ "what are the list of unicode for the japanase map symbols?" ]
0
u+25ec, u+22a1, u+26ed, u+26ef, u+26ee, u+6587, u+3036, u+3012, u+2b59, u+2613, u+2295, u+26fb, u+2b57, u+25c9, u+2b58, u+26e9, u+534d, u+26eb, u+26fc, u+2668, u+26ec, u+26f0
[ "Symbol", "GSI", "Meaning", "Unicode", "Description" ]
what are the list of unicode for the japanase map symbols?
[ [ "^", "*", "Base triangulation surveying point", "U+25EC", "Dot in upward-pointing triangle" ], [ "nan", "*", "Electronic triangulation point", "nan", "Dot in upward-pointing triangle with flag" ], [ "[?]", "*", "Benchmark", "U+22A1", "Dot in squa...
[ "U+25EC", "U+22A1", "U+26ED", "U+26EF", "U+26EE", "U+6587", "U+3036", "U+3012", "U+2B59", "U+2613", "U+2295", "U+26FB", "U+2B57", "U+25C9", "U+2B58", "U+26E9", "U+534D", "U+26EB", "U+26FC", "U+2668", "U+26EC", "U+26F0" ]
what are the list of unicode for the japanase map symbols? ||
nt-13301
col : symbol | gsi | meaning | unicode | description row 1 : ^ | * | base triangulation surveying point | u+25ec | dot in upward-pointing triangle row 2 : nan | * | electronic triangulation point | nan | dot in upward-pointing triangle with flag row 3 : [?] | * | benchmark | u+22a1 | dot in square row 4 : [?] | * | fac...
table_csv/203_540.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 2, 3, 4, 5, 20, 22, 25 ] }
[ "what are the list of unicode for the japanase map symbols?", "which contain vowels after the u?" ]
0
u+25ec, u+22a1, u+26ed, u+26ef, u+26ee, u+26e9, u+26eb, u+26ec
[ "Symbol", "GSI", "Meaning", "Unicode", "Description" ]
which contain vowels after the u?
[ [ "^", "*", "Base triangulation surveying point", "U+25EC", "Dot in upward-pointing triangle" ], [ "nan", "*", "Electronic triangulation point", "nan", "Dot in upward-pointing triangle with flag" ], [ "[?]", "*", "Benchmark", "U+22A1", "Dot in squa...
[ "U+25EC", "U+22A1", "U+26ED", "U+26EF", "U+26EE", "U+26E9", "U+26EB", "U+26EC" ]
which contain vowels after the u? || what are the list of unicode for the japanase map symbols?
nt-13301
col : symbol | gsi | meaning | unicode | description row 1 : ^ | * | base triangulation surveying point | u+25ec | dot in upward-pointing triangle row 2 : nan | * | electronic triangulation point | nan | dot in upward-pointing triangle with flag row 3 : [?] | * | benchmark | u+22a1 | dot in square row 4 : [?] | * | fac...
table_csv/203_540.csv
2
{ "column_index": [ 3 ], "row_index": [ 2 ] }
[ "what are the list of unicode for the japanase map symbols?", "which contain vowels after the u?", "of the above which ones have only an a?" ]
0
u+22a1
[ "Symbol", "GSI", "Meaning", "Unicode", "Description" ]
of the above which ones have only an a?
[ [ "^", "*", "Base triangulation surveying point", "U+25EC", "Dot in upward-pointing triangle" ], [ "nan", "*", "Electronic triangulation point", "nan", "Dot in upward-pointing triangle with flag" ], [ "[?]", "*", "Benchmark", "U+22A1", "Dot in squa...
[ "U+22A1" ]
of the above which ones have only an a? || which contain vowels after the u? | what are the list of unicode for the japanase map symbols?
nt-13301
col : symbol | gsi | meaning | unicode | description row 1 : ^ | * | base triangulation surveying point | u+25ec | dot in upward-pointing triangle row 2 : nan | * | electronic triangulation point | nan | dot in upward-pointing triangle with flag row 3 : [?] | * | benchmark | u+22a1 | dot in square row 4 : [?] | * | fac...
table_csv/203_540.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, ...
[ "what unicodes are listed?" ]
1
u+25ec, u+22a1, u+26ed, u+26ef, u+26ee, u+6587, u+3036, u+3012, u+2b59, u+2613, u+2295, u+26fb, u+2b57, u+25c9, u+2b58, u+26e9, u+534d, u+26eb, u+26fc, u+2668, u+26ec, u+26f0
[ "Symbol", "GSI", "Meaning", "Unicode", "Description" ]
what unicodes are listed?
[ [ "^", "*", "Base triangulation surveying point", "U+25EC", "Dot in upward-pointing triangle" ], [ "nan", "*", "Electronic triangulation point", "nan", "Dot in upward-pointing triangle with flag" ], [ "[?]", "*", "Benchmark", "U+22A1", "Dot in squa...
[ "U+25EC", "U+22A1", "U+26ED", "U+26EF", "U+26EE", "U+6587", "U+3036", "U+3012", "U+2B59", "U+2613", "U+2295", "U+26FB", "U+2B57", "U+25C9", "U+2B58", "U+26E9", "U+534D", "U+26EB", "U+26FC", "U+2668", "U+26EC", "U+26F0" ]
what unicodes are listed? ||
nt-13301
col : symbol | gsi | meaning | unicode | description row 1 : ^ | * | base triangulation surveying point | u+25ec | dot in upward-pointing triangle row 2 : nan | * | electronic triangulation point | nan | dot in upward-pointing triangle with flag row 3 : [?] | * | benchmark | u+22a1 | dot in square row 4 : [?] | * | fac...
table_csv/203_540.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 2, 3, 4, 5, 12, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26 ] }
[ "what unicodes are listed?", "of those listed unicodes, which contain letters (besides u)?" ]
1
u+25ec, u+22a1, u+26ed, u+26ef, u+26ee, u+2b59, u+26fb, u+2b57, u+25c9, u+2b58, u+26e9, u+534d, u+26eb, u+26fc, u+26ec, u+26f0
[ "Symbol", "GSI", "Meaning", "Unicode", "Description" ]
of those listed unicodes, which contain letters (besides u)?
[ [ "^", "*", "Base triangulation surveying point", "U+25EC", "Dot in upward-pointing triangle" ], [ "nan", "*", "Electronic triangulation point", "nan", "Dot in upward-pointing triangle with flag" ], [ "[?]", "*", "Benchmark", "U+22A1", "Dot in squa...
[ "U+25EC", "U+22A1", "U+26ED", "U+26EF", "U+26EE", "U+2B59", "U+26FB", "U+2B57", "U+25C9", "U+2B58", "U+26E9", "U+534D", "U+26EB", "U+26FC", "U+26EC", "U+26F0" ]
of those listed unicodes, which contain letters (besides u)? || what unicodes are listed?
nt-13301
col : symbol | gsi | meaning | unicode | description row 1 : ^ | * | base triangulation surveying point | u+25ec | dot in upward-pointing triangle row 2 : nan | * | electronic triangulation point | nan | dot in upward-pointing triangle with flag row 3 : [?] | * | benchmark | u+22a1 | dot in square row 4 : [?] | * | fac...
table_csv/203_540.csv
2
{ "column_index": [ 3 ], "row_index": [ 2 ] }
[ "what unicodes are listed?", "of those listed unicodes, which contain letters (besides u)?", "of those listed unicodes, which contain the letter a?" ]
1
u+22a1
[ "Symbol", "GSI", "Meaning", "Unicode", "Description" ]
of those listed unicodes, which contain the letter a?
[ [ "^", "*", "Base triangulation surveying point", "U+25EC", "Dot in upward-pointing triangle" ], [ "nan", "*", "Electronic triangulation point", "nan", "Dot in upward-pointing triangle with flag" ], [ "[?]", "*", "Benchmark", "U+22A1", "Dot in squa...
[ "U+22A1" ]
of those listed unicodes, which contain the letter a? || of those listed unicodes, which contain letters (besides u)? | what unicodes are listed?
nt-13301
col : symbol | gsi | meaning | unicode | description row 1 : ^ | * | base triangulation surveying point | u+25ec | dot in upward-pointing triangle row 2 : nan | * | electronic triangulation point | nan | dot in upward-pointing triangle with flag row 3 : [?] | * | benchmark | u+22a1 | dot in square row 4 : [?] | * | fac...
table_csv/203_540.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, ...
[ "what are all the unicodes?" ]
2
u+25ec, u+22a1, u+26ed, u+26ef, u+26ee, u+6587, u+3036, u+3012, u+2b59, u+2613, u+2295, u+26fb, u+2b57, u+25c9, u+2b58, u+26e9, u+534d, u+26eb, u+26fc, u+2668, u+26ec, u+26f0
[ "Symbol", "GSI", "Meaning", "Unicode", "Description" ]
what are all the unicodes?
[ [ "^", "*", "Base triangulation surveying point", "U+25EC", "Dot in upward-pointing triangle" ], [ "nan", "*", "Electronic triangulation point", "nan", "Dot in upward-pointing triangle with flag" ], [ "[?]", "*", "Benchmark", "U+22A1", "Dot in squa...
[ "U+25EC", "U+22A1", "U+26ED", "U+26EF", "U+26EE", "U+6587", "U+3036", "U+3012", "U+2B59", "U+2613", "U+2295", "U+26FB", "U+2B57", "U+25C9", "U+2B58", "U+26E9", "U+534D", "U+26EB", "U+26FC", "U+2668", "U+26EC", "U+26F0" ]
what are all the unicodes? ||
nt-13301
col : symbol | gsi | meaning | unicode | description row 1 : ^ | * | base triangulation surveying point | u+25ec | dot in upward-pointing triangle row 2 : nan | * | electronic triangulation point | nan | dot in upward-pointing triangle with flag row 3 : [?] | * | benchmark | u+22a1 | dot in square row 4 : [?] | * | fac...
table_csv/203_540.csv
1
{ "column_index": [ 3 ], "row_index": [ 2 ] }
[ "what are all the unicodes?", "which of these have the letter a in them?" ]
2
u+22a1
[ "Symbol", "GSI", "Meaning", "Unicode", "Description" ]
which of these have the letter a in them?
[ [ "^", "*", "Base triangulation surveying point", "U+25EC", "Dot in upward-pointing triangle" ], [ "nan", "*", "Electronic triangulation point", "nan", "Dot in upward-pointing triangle with flag" ], [ "[?]", "*", "Benchmark", "U+22A1", "Dot in squa...
[ "U+22A1" ]
which of these have the letter a in them? || what are all the unicodes?
nt-8713
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4...
table_csv/203_780.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 are all of the drivers?" ]
0
ingrid kramer (eua), paula jean myers-pope (usa), ninel krutova (urs), juno stover-irwin (usa), raisa gorokhovskaya (urs), norma thomas (gbr), nicolle darrigrand-pellissard (fra, phyllis long (gbr), irene macdonald (can), kumiko watanabe (jpn), kanoko tsutani-mabuchi (jpn, birte christoffersen-hanson (swe), maria teres...
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
who are all of the drivers?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ...
[ "Ingrid Kramer (EUA)", "Paula Jean Myers-Pope (USA)", "Ninel Krutova (URS)", "Juno Stover-Irwin (USA)", "Raisa Gorokhovskaya (URS)", "Norma Thomas (GBR)", "Nicolle Darrigrand-Pellissard (FRA", "Phyllis Long (GBR)", "Irene MacDonald (CAN)", "Kumiko Watanabe (JPN)", "Kanoko Tsutani-Mabuchi (JPN", ...
who are all of the drivers? ||
nt-8713
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4...
table_csv/203_780.csv
1
{ "column_index": [ 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 ] }
[ "who are all of the drivers?", "what were their final points?" ]
0
34.98, 35.24, 33.61, 31.69, 31.50, 30.44, 31.50, 28.86, 29.18, 28.56, 28.14, 24.40, , , , , ,
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
what were their final points?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ...
[ "34.98", "35.24", "33.61", "31.69", "31.50", "30.44", "31.50", "28.86", "29.18", "28.56", "28.14", "24.40", "", "", "", "", "", "" ]
what were their final points? || who are all of the drivers?
nt-8713
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4...
table_csv/203_780.csv
2
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "who are all of the drivers?", "what were their final points?", "and which point is associated with ingrid kramer (eua)?" ]
0
34.98
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
and which point is associated with ingrid kramer (eua)?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ...
[ "34.98" ]
and which point is associated with ingrid kramer (eua)? || what were their final points? | who are all of the drivers?
nt-8713
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4...
table_csv/203_780.csv
0
{ "column_index": [ 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 ] }
[ "how many final points did each diver score (of those with a final point total listed)?" ]
1
34.98, 35.24, 33.61, 31.69, 31.50, 30.44, 31.50, 28.86, 29.18, 28.56, 28.14, 24.40
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
how many final points did each diver score (of those with a final point total listed)?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ...
[ "34.98", "35.24", "33.61", "31.69", "31.50", "30.44", "31.50", "28.86", "29.18", "28.56", "28.14", "24.40" ]
how many final points did each diver score (of those with a final point total listed)? ||
nt-8713
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4...
table_csv/203_780.csv
1
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "how many final points did each diver score (of those with a final point total listed)?", "how many did ingrid kramer (eua) score?" ]
1
34.98
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
how many did ingrid kramer (eua) score?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ...
[ "34.98" ]
how many did ingrid kramer (eua) score? || how many final points did each diver score (of those with a final point total listed)?
nt-8713
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4...
table_csv/203_780.csv
0
{ "column_index": [ 2, 4 ], "row_index": [ 0, 0 ] }
[ "how many points did ingrid kramer score?" ]
2
56.30, 34.98
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
how many points did ingrid kramer score?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ...
[ "56.30", "34.98" ]
how many points did ingrid kramer score? ||
nt-8713
col : rank | diver | preliminary points | preliminary rank | final points | final rank | final total row 1 : nan | ingrid kramer (eua) | 56.3 | 1 | 34.98 | 2.0 | 91.28 row 2 : nan | paula jean myers-pope (usa) | 54.7 | 2 | 35.24 | 1.0 | 89.94 row 3 : nan | ninel krutova (urs) | 53.38 | 3 | 33.61 | 3.0 | 86.99 row 4 : 4...
table_csv/203_780.csv
1
{ "column_index": [ 4 ], "row_index": [ 0 ] }
[ "how many points did ingrid kramer score?", "how many did she score in the final?" ]
2
34.98
[ "Rank", "Diver", "Preliminary Points", "Preliminary Rank", "Final Points", "Final Rank", "Final Total" ]
how many did she score in the final?
[ [ "nan", "Ingrid Kramer (EUA)", "56.3", "1", "34.98", "2.0", "91.28" ], [ "nan", "Paula Jean Myers-Pope (USA)", "54.7", "2", "35.24", "1.0", "89.94" ], [ "nan", "Ninel Krutova (URS)", "53.38", "3", "33.61", "3.0", "86.99" ...
[ "34.98" ]
how many did she score in the final? || how many points did ingrid kramer score?
nt-8384
col : outcome | no. | date | tournament | surface | opponent | score row 1 : runner-up | 1.0 | 1 august 2011 | sao paulo, brazil | clay | maria fernanda alves | 6-4, 5-7, 3-6 row 2 : winner | 1.0 | 24 october 2011 | goiania, brazil | clay | barbara luz | 6-2, 6-0 row 3 : winner | 2.0 | 2 april 2012 | ribeirao preto, br...
table_csv/204_868.csv
0
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "who were all the opponents?" ]
0
maria fernanda alves, barbara luz, natasha fourouclas, andrea benitez, tereza martincova, renata voracova, laura siegemund
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score" ]
who were all the opponents?
[ [ "Runner-up", "1.0", "1 August 2011", "Sao Paulo, Brazil", "Clay", "Maria Fernanda Alves", "6-4, 5-7, 3-6" ], [ "Winner", "1.0", "24 October 2011", "Goiania, Brazil", "Clay", "Barbara Luz", "6-2, 6-0" ], [ "Winner", "2.0", "2 April 2012", ...
[ "Maria Fernanda Alves", "Barbara Luz", "Natasha Fourouclas", "Andrea Benitez", "Tereza Martincova", "Renata Voracova", "Laura Siegemund" ]
who were all the opponents? ||
nt-8384
col : outcome | no. | date | tournament | surface | opponent | score row 1 : runner-up | 1.0 | 1 august 2011 | sao paulo, brazil | clay | maria fernanda alves | 6-4, 5-7, 3-6 row 2 : winner | 1.0 | 24 october 2011 | goiania, brazil | clay | barbara luz | 6-2, 6-0 row 3 : winner | 2.0 | 2 april 2012 | ribeirao preto, br...
table_csv/204_868.csv
1
{ "column_index": [ 5 ], "row_index": [ 6 ] }
[ "who were all the opponents?", "which of these did they play in switzerland?" ]
0
laura siegemund
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score" ]
which of these did they play in switzerland?
[ [ "Runner-up", "1.0", "1 August 2011", "Sao Paulo, Brazil", "Clay", "Maria Fernanda Alves", "6-4, 5-7, 3-6" ], [ "Winner", "1.0", "24 October 2011", "Goiania, Brazil", "Clay", "Barbara Luz", "6-2, 6-0" ], [ "Winner", "2.0", "2 April 2012", ...
[ "Laura Siegemund" ]
which of these did they play in switzerland? || who were all the opponents?
nt-8384
col : outcome | no. | date | tournament | surface | opponent | score row 1 : runner-up | 1.0 | 1 august 2011 | sao paulo, brazil | clay | maria fernanda alves | 6-4, 5-7, 3-6 row 2 : winner | 1.0 | 24 october 2011 | goiania, brazil | clay | barbara luz | 6-2, 6-0 row 3 : winner | 2.0 | 2 april 2012 | ribeirao preto, br...
table_csv/204_868.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what are the tournaments that beatriz haddad maia has been a part of?" ]
1
sao paulo, brazil, goiania, brazil, ribeirao preto, brazil, ribeirao preto, brazil, antalya 15, turkey, caserta, italy, lenzerheide, switzerland
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score" ]
what are the tournaments that beatriz haddad maia has been a part of?
[ [ "Runner-up", "1.0", "1 August 2011", "Sao Paulo, Brazil", "Clay", "Maria Fernanda Alves", "6-4, 5-7, 3-6" ], [ "Winner", "1.0", "24 October 2011", "Goiania, Brazil", "Clay", "Barbara Luz", "6-2, 6-0" ], [ "Winner", "2.0", "2 April 2012", ...
[ "Sao Paulo, Brazil", "Goiania, Brazil", "Ribeirao Preto, Brazil", "Ribeirao Preto, Brazil", "Antalya 15, Turkey", "Caserta, Italy", "Lenzerheide, Switzerland" ]
what are the tournaments that beatriz haddad maia has been a part of? ||
nt-8384
col : outcome | no. | date | tournament | surface | opponent | score row 1 : runner-up | 1.0 | 1 august 2011 | sao paulo, brazil | clay | maria fernanda alves | 6-4, 5-7, 3-6 row 2 : winner | 1.0 | 24 october 2011 | goiania, brazil | clay | barbara luz | 6-2, 6-0 row 3 : winner | 2.0 | 2 april 2012 | ribeirao preto, br...
table_csv/204_868.csv
1
{ "column_index": [ 3 ], "row_index": [ 6 ] }
[ "what are the tournaments that beatriz haddad maia has been a part of?", "which of these tournaments are in switzerland?" ]
1
lenzerheide, switzerland
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score" ]
which of these tournaments are in switzerland?
[ [ "Runner-up", "1.0", "1 August 2011", "Sao Paulo, Brazil", "Clay", "Maria Fernanda Alves", "6-4, 5-7, 3-6" ], [ "Winner", "1.0", "24 October 2011", "Goiania, Brazil", "Clay", "Barbara Luz", "6-2, 6-0" ], [ "Winner", "2.0", "2 April 2012", ...
[ "Lenzerheide, Switzerland" ]
which of these tournaments are in switzerland? || what are the tournaments that beatriz haddad maia has been a part of?
nt-8384
col : outcome | no. | date | tournament | surface | opponent | score row 1 : runner-up | 1.0 | 1 august 2011 | sao paulo, brazil | clay | maria fernanda alves | 6-4, 5-7, 3-6 row 2 : winner | 1.0 | 24 october 2011 | goiania, brazil | clay | barbara luz | 6-2, 6-0 row 3 : winner | 2.0 | 2 april 2012 | ribeirao preto, br...
table_csv/204_868.csv
2
{ "column_index": [ 5 ], "row_index": [ 6 ] }
[ "what are the tournaments that beatriz haddad maia has been a part of?", "which of these tournaments are in switzerland?", "who was the opponent for this tournament?" ]
1
laura siegemund
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score" ]
who was the opponent for this tournament?
[ [ "Runner-up", "1.0", "1 August 2011", "Sao Paulo, Brazil", "Clay", "Maria Fernanda Alves", "6-4, 5-7, 3-6" ], [ "Winner", "1.0", "24 October 2011", "Goiania, Brazil", "Clay", "Barbara Luz", "6-2, 6-0" ], [ "Winner", "2.0", "2 April 2012", ...
[ "Laura Siegemund" ]
who was the opponent for this tournament? || which of these tournaments are in switzerland? | what are the tournaments that beatriz haddad maia has been a part of?
nt-8384
col : outcome | no. | date | tournament | surface | opponent | score row 1 : runner-up | 1.0 | 1 august 2011 | sao paulo, brazil | clay | maria fernanda alves | 6-4, 5-7, 3-6 row 2 : winner | 1.0 | 24 october 2011 | goiania, brazil | clay | barbara luz | 6-2, 6-0 row 3 : winner | 2.0 | 2 april 2012 | ribeirao preto, br...
table_csv/204_868.csv
0
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "who did this player face?" ]
2
maria fernanda alves, barbara luz, natasha fourouclas, andrea benitez, tereza martincova, renata voracova, laura siegemund
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score" ]
who did this player face?
[ [ "Runner-up", "1.0", "1 August 2011", "Sao Paulo, Brazil", "Clay", "Maria Fernanda Alves", "6-4, 5-7, 3-6" ], [ "Winner", "1.0", "24 October 2011", "Goiania, Brazil", "Clay", "Barbara Luz", "6-2, 6-0" ], [ "Winner", "2.0", "2 April 2012", ...
[ "Maria Fernanda Alves", "Barbara Luz", "Natasha Fourouclas", "Andrea Benitez", "Tereza Martincova", "Renata Voracova", "Laura Siegemund" ]
who did this player face? ||
nt-8384
col : outcome | no. | date | tournament | surface | opponent | score row 1 : runner-up | 1.0 | 1 august 2011 | sao paulo, brazil | clay | maria fernanda alves | 6-4, 5-7, 3-6 row 2 : winner | 1.0 | 24 october 2011 | goiania, brazil | clay | barbara luz | 6-2, 6-0 row 3 : winner | 2.0 | 2 april 2012 | ribeirao preto, br...
table_csv/204_868.csv
1
{ "column_index": [ 5 ], "row_index": [ 6 ] }
[ "who did this player face?", "which opponent did she face in switzerland?" ]
2
laura siegemund
[ "Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score" ]
which opponent did she face in switzerland?
[ [ "Runner-up", "1.0", "1 August 2011", "Sao Paulo, Brazil", "Clay", "Maria Fernanda Alves", "6-4, 5-7, 3-6" ], [ "Winner", "1.0", "24 October 2011", "Goiania, Brazil", "Clay", "Barbara Luz", "6-2, 6-0" ], [ "Winner", "2.0", "2 April 2012", ...
[ "Laura Siegemund" ]
which opponent did she face in switzerland? || who did this player face?
ns-2250
col : team | wins | losses | win % | gb row 1 : detroit tigers | 104 | 58 | 0.642 | 0.0 row 2 : toronto blue jays | 89 | 73 | 0.549 | 15.0 row 3 : new york yankees | 87 | 75 | 0.537 | 17.0 row 4 : boston red sox | 86 | 76 | 0.531 | 18.0 row 5 : baltimore orioles | 85 | 77 | 0.525 | 19.0 row 6 : cleveland indians | 75 |...
table_csv/204_905.csv
0
{ "column_index": [ 3 ], "row_index": [ 3 ] }
[ "what win ratio did the red sox have?" ]
0
.531
[ "Team", "Wins", "Losses", "Win %", "GB" ]
what win ratio did the red sox have?
[ [ "Detroit Tigers", "104", "58", "0.642", "0.0" ], [ "Toronto Blue Jays", "89", "73", "0.549", "15.0" ], [ "New York Yankees", "87", "75", "0.537", "17.0" ], [ "Boston Red Sox", "86", "76", "0.531", "18.0" ], [ "Balt...
[ ".531" ]
what win ratio did the red sox have? ||
ns-2250
col : team | wins | losses | win % | gb row 1 : detroit tigers | 104 | 58 | 0.642 | 0.0 row 2 : toronto blue jays | 89 | 73 | 0.549 | 15.0 row 3 : new york yankees | 87 | 75 | 0.537 | 17.0 row 4 : boston red sox | 86 | 76 | 0.531 | 18.0 row 5 : baltimore orioles | 85 | 77 | 0.525 | 19.0 row 6 : cleveland indians | 75 |...
table_csv/204_905.csv
1
{ "column_index": [ 3 ], "row_index": [ 4 ] }
[ "what win ratio did the red sox have?", "what win ratio did the orieles have?" ]
0
.525
[ "Team", "Wins", "Losses", "Win %", "GB" ]
what win ratio did the orieles have?
[ [ "Detroit Tigers", "104", "58", "0.642", "0.0" ], [ "Toronto Blue Jays", "89", "73", "0.549", "15.0" ], [ "New York Yankees", "87", "75", "0.537", "17.0" ], [ "Boston Red Sox", "86", "76", "0.531", "18.0" ], [ "Balt...
[ ".525" ]
what win ratio did the orieles have? || what win ratio did the red sox have?
ns-2250
col : team | wins | losses | win % | gb row 1 : detroit tigers | 104 | 58 | 0.642 | 0.0 row 2 : toronto blue jays | 89 | 73 | 0.549 | 15.0 row 3 : new york yankees | 87 | 75 | 0.537 | 17.0 row 4 : boston red sox | 86 | 76 | 0.531 | 18.0 row 5 : baltimore orioles | 85 | 77 | 0.525 | 19.0 row 6 : cleveland indians | 75 |...
table_csv/204_905.csv
2
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "what win ratio did the red sox have?", "what win ratio did the orieles have?", "which was a win ratio of 0.525?" ]
0
baltimore orioles
[ "Team", "Wins", "Losses", "Win %", "GB" ]
which was a win ratio of 0.525?
[ [ "Detroit Tigers", "104", "58", "0.642", "0.0" ], [ "Toronto Blue Jays", "89", "73", "0.549", "15.0" ], [ "New York Yankees", "87", "75", "0.537", "17.0" ], [ "Boston Red Sox", "86", "76", "0.531", "18.0" ], [ "Balt...
[ "Baltimore Orioles" ]
which was a win ratio of 0.525? || what win ratio did the orieles have? | what win ratio did the red sox have?
ns-2250
col : team | wins | losses | win % | gb row 1 : detroit tigers | 104 | 58 | 0.642 | 0.0 row 2 : toronto blue jays | 89 | 73 | 0.549 | 15.0 row 3 : new york yankees | 87 | 75 | 0.537 | 17.0 row 4 : boston red sox | 86 | 76 | 0.531 | 18.0 row 5 : baltimore orioles | 85 | 77 | 0.525 | 19.0 row 6 : cleveland indians | 75 |...
table_csv/204_905.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "who were the teams that played the red sox in the 1984 boston red sox season?" ]
1
detroit tigers, toronto blue jays, new york yankees, boston red sox, baltimore orioles, cleveland indians, milwaukee brewers
[ "Team", "Wins", "Losses", "Win %", "GB" ]
who were the teams that played the red sox in the 1984 boston red sox season?
[ [ "Detroit Tigers", "104", "58", "0.642", "0.0" ], [ "Toronto Blue Jays", "89", "73", "0.549", "15.0" ], [ "New York Yankees", "87", "75", "0.537", "17.0" ], [ "Boston Red Sox", "86", "76", "0.531", "18.0" ], [ "Balt...
[ "Detroit Tigers", "Toronto Blue Jays", "New York Yankees", "Boston Red Sox", "Baltimore Orioles", "Cleveland Indians", "Milwaukee Brewers" ]
who were the teams that played the red sox in the 1984 boston red sox season? ||
ns-2250
col : team | wins | losses | win % | gb row 1 : detroit tigers | 104 | 58 | 0.642 | 0.0 row 2 : toronto blue jays | 89 | 73 | 0.549 | 15.0 row 3 : new york yankees | 87 | 75 | 0.537 | 17.0 row 4 : boston red sox | 86 | 76 | 0.531 | 18.0 row 5 : baltimore orioles | 85 | 77 | 0.525 | 19.0 row 6 : cleveland indians | 75 |...
table_csv/204_905.csv
1
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "who were the teams that played the red sox in the 1984 boston red sox season?", "of these which won .525 percent?" ]
1
baltimore orioles
[ "Team", "Wins", "Losses", "Win %", "GB" ]
of these which won .525 percent?
[ [ "Detroit Tigers", "104", "58", "0.642", "0.0" ], [ "Toronto Blue Jays", "89", "73", "0.549", "15.0" ], [ "New York Yankees", "87", "75", "0.537", "17.0" ], [ "Boston Red Sox", "86", "76", "0.531", "18.0" ], [ "Balt...
[ "Baltimore Orioles" ]
of these which won .525 percent? || who were the teams that played the red sox in the 1984 boston red sox season?
ns-2250
col : team | wins | losses | win % | gb row 1 : detroit tigers | 104 | 58 | 0.642 | 0.0 row 2 : toronto blue jays | 89 | 73 | 0.549 | 15.0 row 3 : new york yankees | 87 | 75 | 0.537 | 17.0 row 4 : boston red sox | 86 | 76 | 0.531 | 18.0 row 5 : baltimore orioles | 85 | 77 | 0.525 | 19.0 row 6 : cleveland indians | 75 |...
table_csv/204_905.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "who were the teams played i teh 1984 boston red sox season?" ]
2
detroit tigers, toronto blue jays, new york yankees, boston red sox, baltimore orioles, cleveland indians, milwaukee brewers
[ "Team", "Wins", "Losses", "Win %", "GB" ]
who were the teams played i teh 1984 boston red sox season?
[ [ "Detroit Tigers", "104", "58", "0.642", "0.0" ], [ "Toronto Blue Jays", "89", "73", "0.549", "15.0" ], [ "New York Yankees", "87", "75", "0.537", "17.0" ], [ "Boston Red Sox", "86", "76", "0.531", "18.0" ], [ "Balt...
[ "Detroit Tigers", "Toronto Blue Jays", "New York Yankees", "Boston Red Sox", "Baltimore Orioles", "Cleveland Indians", "Milwaukee Brewers" ]
who were the teams played i teh 1984 boston red sox season? ||
ns-2250
col : team | wins | losses | win % | gb row 1 : detroit tigers | 104 | 58 | 0.642 | 0.0 row 2 : toronto blue jays | 89 | 73 | 0.549 | 15.0 row 3 : new york yankees | 87 | 75 | 0.537 | 17.0 row 4 : boston red sox | 86 | 76 | 0.531 | 18.0 row 5 : baltimore orioles | 85 | 77 | 0.525 | 19.0 row 6 : cleveland indians | 75 |...
table_csv/204_905.csv
1
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "who were the teams played i teh 1984 boston red sox season?", "of those which had a .5255 ratio?" ]
2
baltimore orioles
[ "Team", "Wins", "Losses", "Win %", "GB" ]
of those which had a .5255 ratio?
[ [ "Detroit Tigers", "104", "58", "0.642", "0.0" ], [ "Toronto Blue Jays", "89", "73", "0.549", "15.0" ], [ "New York Yankees", "87", "75", "0.537", "17.0" ], [ "Boston Red Sox", "86", "76", "0.531", "18.0" ], [ "Balt...
[ "Baltimore Orioles" ]
of those which had a .5255 ratio? || who were the teams played i teh 1984 boston red sox season?
nt-6252
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) ...
table_csv/203_592.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "which universities are listed as ivy league?" ]
0
brown university, columbia university, cornell university, dartmouth college, harvard university, princeton university, university of pennsylvania, yale university
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
which universities are listed as ivy league?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 bil...
[ "Brown University", "Columbia University", "Cornell University", "Dartmouth College", "Harvard University", "Princeton University", "University of Pennsylvania", "Yale University" ]
which universities are listed as ivy league? ||
nt-6252
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) ...
table_csv/203_592.csv
1
{ "column_index": [ 0, 0, 0, 0, 0 ], "row_index": [ 1, 2, 4, 6, 7 ] }
[ "which universities are listed as ivy league?", "of these, which have over 10,000 in total enrollment?" ]
0
columbia university, cornell university, harvard university, university of pennsylvania, yale university
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
of these, which have over 10,000 in total enrollment?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 bil...
[ "Columbia University", "Cornell University", "Harvard University", "University of Pennsylvania", "Yale University" ]
of these, which have over 10,000 in total enrollment? || which universities are listed as ivy league?
nt-6252
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) ...
table_csv/203_592.csv
2
{ "column_index": [ 0 ], "row_index": [ 7 ] }
[ "which universities are listed as ivy league?", "of these, which have over 10,000 in total enrollment?", "of these, whose mascot is the bulldog?" ]
0
yale university
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
of these, whose mascot is the bulldog?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 bil...
[ "Yale University" ]
of these, whose mascot is the bulldog? || of these, which have over 10,000 in total enrollment? | which universities are listed as ivy league?
nt-6252
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) ...
table_csv/203_592.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all of the universities?" ]
1
brown university, columbia university, cornell university, dartmouth college, harvard university, princeton university, university of pennsylvania, yale university
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
what are all of the universities?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 bil...
[ "Brown University", "Columbia University", "Cornell University", "Dartmouth College", "Harvard University", "Princeton University", "University of Pennsylvania", "Yale University" ]
what are all of the universities? ||
nt-6252
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) ...
table_csv/203_592.csv
1
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all of the universities?", "what about their enrollment?" ]
1
8,649, 22,920, 20,633, 6,141, 21,225, 7,592, 20,643, 11,666
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
what about their enrollment?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 bil...
[ "8,649", "22,920", "20,633", "6,141", "21,225", "7,592", "20,643", "11,666" ]
what about their enrollment? || what are all of the universities?
nt-6252
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) ...
table_csv/203_592.csv
2
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all of the universities?", "what about their enrollment?", "and their athletic names?" ]
1
bears, lions, big red, big green, crimson, tigers, quakers, bulldogs
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
and their athletic names?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 bil...
[ "Bears", "Lions", "Big Red", "Big Green", "Crimson", "Tigers", "Quakers", "Bulldogs" ]
and their athletic names? || what about their enrollment? | what are all of the universities?
nt-6252
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) ...
table_csv/203_592.csv
3
{ "column_index": [ 0 ], "row_index": [ 7 ] }
[ "what are all of the universities?", "what about their enrollment?", "and their athletic names?", "and among those, which university do the bulldogs belong to?" ]
1
yale university
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
and among those, which university do the bulldogs belong to?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 bil...
[ "Yale University" ]
and among those, which university do the bulldogs belong to? || and their athletic names? | what about their enrollment? | what are all of the universities?
nt-6252
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) ...
table_csv/203_592.csv
0
{ "column_index": [ 0, 0, 0, 0, 0 ], "row_index": [ 1, 2, 4, 6, 7 ] }
[ "which of the universities have a total enrollment of greater than 10000?" ]
2
columbia university, cornell university, harvard university, university of pennsylvania, yale university
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
which of the universities have a total enrollment of greater than 10000?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 bil...
[ "Columbia University", "Cornell University", "Harvard University", "University of Pennsylvania", "Yale University" ]
which of the universities have a total enrollment of greater than 10000? ||
nt-6252
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) ...
table_csv/203_592.csv
1
{ "column_index": [ 0, 0, 0 ], "row_index": [ 4, 6, 7 ] }
[ "which of the universities have a total enrollment of greater than 10000?", "of these, which ones has an academic staff of greater than 4000?" ]
2
harvard university, university of pennsylvania, yale university
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
of these, which ones has an academic staff of greater than 4000?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 bil...
[ "Harvard University", "University of Pennsylvania", "Yale University" ]
of these, which ones has an academic staff of greater than 4000? || which of the universities have a total enrollment of greater than 10000?
nt-6252
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) ...
table_csv/203_592.csv
2
{ "column_index": [ 0 ], "row_index": [ 7 ] }
[ "which of the universities have a total enrollment of greater than 10000?", "of these, which ones has an academic staff of greater than 4000?", "of the remaining universities, which one has the athletic nickname the bulldogs?" ]
2
yale university
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
of the remaining universities, which one has the athletic nickname the bulldogs?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 bil...
[ "Yale University" ]
of the remaining universities, which one has the athletic nickname the bulldogs? || of these, which ones has an academic staff of greater than 4000? | which of the universities have a total enrollment of greater than 10000?
nt-6250
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ...
table_csv/203_212.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are the populations of the quarters?" ]
0
6,247, 2,044, 65,656, 6,098, 12,599, 0, 25,210, 6,701, 16,284, 8,472, 16,284
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what are the populations of the quarters?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", ...
[ "6,247", "2,044", "65,656", "6,098", "12,599", "0", "25,210", "6,701", "16,284", "8,472", "16,284" ]
what are the populations of the quarters? ||
nt-6250
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ...
table_csv/203_212.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 2, 6 ] }
[ "what are the populations of the quarters?", "which of the quarters have populations greater than 20,000?" ]
0
castries, gros islet
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which of the quarters have populations greater than 20,000?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", ...
[ "Castries", "Gros Islet" ]
which of the quarters have populations greater than 20,000? || what are the populations of the quarters?
nt-6250
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ...
table_csv/203_212.csv
2
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "what are the populations of the quarters?", "which of the quarters have populations greater than 20,000?", "which of these places is not castries?" ]
0
gros islet
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which of these places is not castries?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", ...
[ "Gros Islet" ]
which of these places is not castries? || which of the quarters have populations greater than 20,000? | what are the populations of the quarters?
nt-6250
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ...
table_csv/203_212.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are all of the districts?" ]
1
anse la raye, praslin, castries, choiseul, dennery, forest reserve, gros islet, laborie, micoud, soufriere, vieux fort
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what are all of the districts?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", ...
[ "Anse la Raye", "Praslin", "Castries", "Choiseul", "Dennery", "Forest Reserve", "Gros Islet", "Laborie", "Micoud", "Soufriere", "Vieux Fort" ]
what are all of the districts? ||
nt-6250
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ...
table_csv/203_212.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are all of the districts?", "what about their populations?" ]
1
6,247, 2,044, 65,656, 6,098, 12,599, 0, 25,210, 6,701, 16,284, 8,472, 16,284
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what about their populations?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", ...
[ "6,247", "2,044", "65,656", "6,098", "12,599", "0", "25,210", "6,701", "16,284", "8,472", "16,284" ]
what about their populations? || what are all of the districts?
nt-6250
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ...
table_csv/203_212.csv
2
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "what are all of the districts?", "what about their populations?", "and which district is the second-most populated?" ]
1
gros islet
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
and which district is the second-most populated?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", ...
[ "Gros Islet" ]
and which district is the second-most populated? || what about their populations? | what are all of the districts?
nt-6250
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ...
table_csv/203_212.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are the districts of saint lucia?" ]
2
anse la raye, praslin, castries, choiseul, dennery, forest reserve, gros islet, laborie, micoud, soufriere, vieux fort
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what are the districts of saint lucia?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", ...
[ "Anse la Raye", "Praslin", "Castries", "Choiseul", "Dennery", "Forest Reserve", "Gros Islet", "Laborie", "Micoud", "Soufriere", "Vieux Fort" ]
what are the districts of saint lucia? ||
nt-6250
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ...
table_csv/203_212.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are the districts of saint lucia?", "what are the populations of those districts?" ]
2
6,247, 2,044, 65,656, 6,098, 12,599, 0, 25,210, 6,701, 16,284, 8,472, 16,284
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what are the populations of those districts?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", ...
[ "6,247", "2,044", "65,656", "6,098", "12,599", "0", "25,210", "6,701", "16,284", "8,472", "16,284" ]
what are the populations of those districts? || what are the districts of saint lucia?
nt-6250
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ...
table_csv/203_212.csv
2
{ "column_index": [ 3, 3 ], "row_index": [ 2, 6 ] }
[ "what are the districts of saint lucia?", "what are the populations of those districts?", "which of these populations are greater than 20 000?" ]
2
65,656, 25,210
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which of these populations are greater than 20 000?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", ...
[ "65,656", "25,210" ]
which of these populations are greater than 20 000? || what are the populations of those districts? | what are the districts of saint lucia?
nt-6250
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ...
table_csv/203_212.csv
3
{ "column_index": [ 1, 1 ], "row_index": [ 2, 6 ] }
[ "what are the districts of saint lucia?", "what are the populations of those districts?", "which of these populations are greater than 20 000?", "which districts have these populations?" ]
2
castries, gros islet
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which districts have these populations?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", ...
[ "Castries", "Gros Islet" ]
which districts have these populations? || which of these populations are greater than 20 000? | what are the populations of those districts? | what are the districts of saint lucia?
nt-6250
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : ...
table_csv/203_212.csv
4
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "what are the districts of saint lucia?", "what are the populations of those districts?", "which of these populations are greater than 20 000?", "which districts have these populations?", "which districts are not castries?" ]
2
gros islet
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which districts are not castries?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", ...
[ "Gros Islet" ]
which districts are not castries? || which districts have these populations? | which of these populations are greater than 20 000? | what are the populations of those districts? | what are the districts of saint lucia?
nt-13946
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) ...
table_csv/204_979.csv
0
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 1, 2 ] }
[ "what countries beat russia overall?" ]
0
bulgaria, spain, belarus
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
what countries beat russia overall?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ...
[ "Bulgaria", "Spain", "Belarus" ]
what countries beat russia overall? ||
nt-13946
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) ...
table_csv/204_979.csv
1
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what countries beat russia overall?", "which of these is not spain or bulgaria?" ]
0
belarus
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
which of these is not spain or bulgaria?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ...
[ "Belarus" ]
which of these is not spain or bulgaria? || what countries beat russia overall?
nt-13946
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) ...
table_csv/204_979.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 4, 5, 6, 7 ] }
[ "which countries other than russia participated in the championship?" ]
1
bulgaria, spain, belarus, ukraine, japan, italy, hungary
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
which countries other than russia participated in the championship?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ...
[ "Bulgaria", "Spain", "Belarus", "Ukraine", "Japan", "Italy", "Hungary" ]
which countries other than russia participated in the championship? ||
nt-13946
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) ...
table_csv/204_979.csv
1
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 1, 2 ] }
[ "which countries other than russia participated in the championship?", "of these countries which scored higher than russia?" ]
1
bulgaria, spain, belarus
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
of these countries which scored higher than russia?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ...
[ "Bulgaria", "Spain", "Belarus" ]
of these countries which scored higher than russia? || which countries other than russia participated in the championship?
nt-13946
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) ...
table_csv/204_979.csv
2
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "which countries other than russia participated in the championship?", "of these countries which scored higher than russia?", "of these three countries which one had an overall score of 39.33?" ]
1
belarus
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
of these three countries which one had an overall score of 39.33?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ...
[ "Belarus" ]
of these three countries which one had an overall score of 39.33? || of these countries which scored higher than russia? | which countries other than russia participated in the championship?
nt-13946
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) ...
table_csv/204_979.csv
0
{ "column_index": [ 4 ], "row_index": [ 3 ] }
[ "how many points did russia score overall?" ]
2
39.166
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
how many points did russia score overall?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ...
[ "39.166" ]
how many points did russia score overall? ||
nt-13946
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) ...
table_csv/204_979.csv
1
{ "column_index": [ 4, 4, 4 ], "row_index": [ 0, 1, 2 ] }
[ "how many points did russia score overall?", "what are the scores that are higher than russia's score?" ]
2
39.600, 39.400, 39.333
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
what are the scores that are higher than russia's score?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ...
[ "39.600", "39.400", "39.333" ]
what are the scores that are higher than russia's score? || how many points did russia score overall?
nt-13946
col : place | nation | 5 hoops | 3 balls, 2 ribbons | total row 1 : 1 | bulgaria | 19.800 (1) | 19.800 (1) | 39.6 row 2 : 2 | spain | 19.700 (3) | 19.700 (2) | 39.4 row 3 : 3 | belarus | 19.733 (2) | 19.600 (3) | 39.333 row 4 : 4 | russia | 19.600 (4) | 19.566 (4) | 39.166 row 5 : 5 | ukraine | 19.366 (5) | 15.500 (5) ...
table_csv/204_979.csv
2
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "how many points did russia score overall?", "what are the scores that are higher than russia's score?", "what is the name of one of the countries with one of the higher scores?" ]
2
belarus
[ "Place", "Nation", "5 Hoops", "3 Balls, 2 Ribbons", "Total" ]
what is the name of one of the countries with one of the higher scores?
[ [ "1", "Bulgaria", "19.800 (1)", "19.800 (1)", "39.6" ], [ "2", "Spain", "19.700 (3)", "19.700 (2)", "39.4" ], [ "3", "Belarus", "19.733 (2)", "19.600 (3)", "39.333" ], [ "4", "Russia", "19.600 (4)", "19.566 (4)", "39.166" ...
[ "Belarus" ]
what is the name of one of the countries with one of the higher scores? || what are the scores that are higher than russia's score? | how many points did russia score overall?
nt-5056
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma |...
table_csv/204_795.csv
0
{ "column_index": [ 0, 0, 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, 1...
[ "which dates were the games played on?" ]
0
december 3, 1948, december 8, 1948, december 11, 1948, december 13, 1948, december 18, 1948, december 20, 1948, december 21, 1948, december 29, 1948, december 30, 1948, january 3, 1949, january 8, 1949, january 10, 1949, january 15, 1949, january 29, 1949, january 31, 1949, february 5, 1949, february 7, 1949, february ...
[ "Date", "Opponent", "Score", "Result", "Location", "Attendance" ]
which dates were the games played on?
[ [ "December 3, 1948", "Butler", "67-62", "Win", "Champaign, IL", "-" ], [ "December 8, 1948", "Notre Dame", "59-58", "Win (OT)", "Notre Dame, IN", "-" ], [ "December 11, 1948", "DePaul", "50-60", "Loss", "Chicago, IL", "17,189" ], [...
[ "December 3, 1948", "December 8, 1948", "December 11, 1948", "December 13, 1948", "December 18, 1948", "December 20, 1948", "December 21, 1948", "December 29, 1948", "December 30, 1948", "January 3, 1949", "January 8, 1949", "January 10, 1949", "January 15, 1949", "January 29, 1949", "Ja...
which dates were the games played on? ||
nt-5056
col : date | opponent | score | result | location | attendance row 1 : december 3, 1948 | butler | 67-62 | win | champaign, il | - row 2 : december 8, 1948 | notre dame | 59-58 | win (ot) | notre dame, in | - row 3 : december 11, 1948 | depaul | 50-60 | loss | chicago, il | 17,189 row 4 : december 13, 1948 | oklahoma |...
table_csv/204_795.csv
1
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1...
[ "which dates were the games played on?", "and was was the attendance during those games?" ]
0
-, -, 17,189, 6,902, 3,943, 6,013, 3,042, 4,541, 3,880, -, 10,000, 6,958, 6,958, 6,905, 10,000, 13,5000, -, 6,905, -, 17,905, -, -
[ "Date", "Opponent", "Score", "Result", "Location", "Attendance" ]
and was was the attendance during those games?
[ [ "December 3, 1948", "Butler", "67-62", "Win", "Champaign, IL", "-" ], [ "December 8, 1948", "Notre Dame", "59-58", "Win (OT)", "Notre Dame, IN", "-" ], [ "December 11, 1948", "DePaul", "50-60", "Loss", "Chicago, IL", "17,189" ], [...
[ "-", "-", "17,189", "6,902", "3,943", "6,013", "3,042", "4,541", "3,880", "-", "10,000", "6,958", "6,958", "6,905", "10,000", "13,5000", "-", "6,905", "-", "17,905", "-", "-" ]
and was was the attendance during those games? || which dates were the games played on?