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0
where are the players from?
[ "Louisiana State University", "Valley HS (Las Vegas, NV)", "Saugus (CA) HS", "Simeon HS (Chicago, IL)", "Texas Tech University", "Frankston (TX) HS", "Auburn University", "Lancaster (SC) HS", "Long Beach State University", "Westwood HS (Fort Pierce, FL)", "W.T. White High School (Dallas, TX", ...
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies |...
where are the players from? ||
[ "Pick", "Player", "Team", "Position", "School" ]
table_csv/203_149.csv
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", ...
0
nt-639
louisiana state university, valley hs (las vegas, nv), saugus (ca) hs, simeon hs (chicago, il), texas tech university, frankston (tx) hs, auburn university, lancaster (sc) hs, long beach state university, westwood hs (fort pierce, fl), w.t. white high school (dallas, tx, salem (ma) hs, cal state fullerton, fresno state...
[ "where are the players from?" ]
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, ...
1
which player went to louisiana state university?
[ "Ben McDonald" ]
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies |...
which player went to louisiana state university? || where are the players from?
[ "Pick", "Player", "Team", "Position", "School" ]
table_csv/203_149.csv
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", ...
0
nt-639
ben mcdonald
[ "where are the players from?", "which player went to louisiana state university?" ]
{ "column_index": [ 1 ], "row_index": [ 0 ] }
0
who are the players?
[ "Ben McDonald", "Tyler Houston", "Roger Salkeld", "Jeff Jackson", "Donald Harris", "Paul Coleman", "Frank Thomas", "Earl Cunningham", "Kyle Abbott", "Charles Johnson", "Calvin Murray", "Jeff Juden", "Brent Mayne", "Steve Hosey", "Kiki Jones", "Greg Blosser", "Cal Eldred", "Willie G...
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies |...
who are the players? ||
[ "Pick", "Player", "Team", "Position", "School" ]
table_csv/203_149.csv
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", ...
1
nt-639
ben mcdonald, tyler houston, roger salkeld, jeff jackson, donald harris, paul coleman, frank thomas, earl cunningham, kyle abbott, charles johnson, calvin murray, jeff juden, brent mayne, steve hosey, kiki jones, greg blosser, cal eldred, willie greene, eddie zosky, scott bryant, greg gohr, tom goodwin, mo vaughn, alan...
[ "who are the players?" ]
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 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, ...
1
which ones are in the top 26 picks?
[ "Ben McDonald", "Tyler Houston", "Roger Salkeld", "Jeff Jackson", "Donald Harris", "Paul Coleman", "Frank Thomas", "Earl Cunningham", "Kyle Abbott", "Charles Johnson", "Calvin Murray", "Jeff Juden", "Brent Mayne", "Steve Hosey", "Kiki Jones", "Greg Blosser", "Cal Eldred", "Willie G...
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies |...
which ones are in the top 26 picks? || who are the players?
[ "Pick", "Player", "Team", "Position", "School" ]
table_csv/203_149.csv
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", ...
1
nt-639
ben mcdonald, tyler houston, roger salkeld, jeff jackson, donald harris, paul coleman, frank thomas, earl cunningham, kyle abbott, charles johnson, calvin murray, jeff juden, brent mayne, steve hosey, kiki jones, greg blosser, cal eldred, willie greene, eddie zosky, scott bryant, greg gohr, tom goodwin, mo vaughn, alan...
[ "who are the players?", "which ones are in the top 26 picks?" ]
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 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, ...
2
and of those, who is from louisiana state university?
[ "Ben McDonald" ]
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies |...
and of those, who is from louisiana state university? || which ones are in the top 26 picks? | who are the players?
[ "Pick", "Player", "Team", "Position", "School" ]
table_csv/203_149.csv
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", ...
1
nt-639
ben mcdonald
[ "who are the players?", "which ones are in the top 26 picks?", "and of those, who is from louisiana state university?" ]
{ "column_index": [ 1 ], "row_index": [ 0 ] }
0
who are the players in the top 26?
[ "Ben McDonald", "Tyler Houston", "Roger Salkeld", "Jeff Jackson", "Donald Harris", "Paul Coleman", "Frank Thomas", "Earl Cunningham", "Kyle Abbott", "Charles Johnson", "Calvin Murray", "Jeff Juden", "Brent Mayne", "Steve Hosey", "Kiki Jones", "Greg Blosser", "Cal Eldred", "Willie G...
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies |...
who are the players in the top 26? ||
[ "Pick", "Player", "Team", "Position", "School" ]
table_csv/203_149.csv
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", ...
2
nt-639
ben mcdonald, tyler houston, roger salkeld, jeff jackson, donald harris, paul coleman, frank thomas, earl cunningham, kyle abbott, charles johnson, calvin murray, jeff juden, brent mayne, steve hosey, kiki jones, greg blosser, cal eldred, willie greene, eddie zosky, scott bryant, greg gohr, tom goodwin, mo vaughn, alan...
[ "who are the players in the top 26?" ]
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 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, ...
1
of those, which one was from louisiana state university?
[ "Ben McDonald" ]
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies |...
of those, which one was from louisiana state university? || who are the players in the top 26?
[ "Pick", "Player", "Team", "Position", "School" ]
table_csv/203_149.csv
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", ...
2
nt-639
ben mcdonald
[ "who are the players in the top 26?", "of those, which one was from louisiana state university?" ]
{ "column_index": [ 1 ], "row_index": [ 0 ] }
0
what are all the names of the teams?
[ "Cordoba CF", "CD Malaga", "Granada CF", "UD Las Palmas", "Recreativo de Huelva", "Levante UD", "Hercules CF", "Real Murcia", "Real Jaen", "Cadiz CF", "CD Cartagena", "CD Mestalla", "Albacete Balompie", "CD San Fernando", "Atletico Ceuta", "CD Villarrobledo" ]
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas |...
what are all the names of the teams? ||
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
table_csv/204_135.csv
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", ...
0
nt-11649
cordoba cf, cd malaga, granada cf, ud las palmas, recreativo de huelva, levante ud, hercules cf, real murcia, real jaen, cadiz cf, cd cartagena, cd mestalla, albacete balompie, cd san fernando, atletico ceuta, cd villarrobledo
[ "what are all the names of the teams?" ]
{ "column_index": [ 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 ] }
1
of these, which teams had any losses?
[ "Cordoba CF", "CD Malaga", "Granada CF", "UD Las Palmas", "Recreativo de Huelva", "Levante UD", "Hercules CF", "Real Murcia", "Real Jaen", "Cadiz CF", "CD Cartagena", "CD Mestalla", "Albacete Balompie", "CD San Fernando", "Atletico Ceuta", "CD Villarrobledo" ]
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas |...
of these, which teams had any losses? || what are all the names of the teams?
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
table_csv/204_135.csv
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", ...
0
nt-11649
cordoba cf, cd malaga, granada cf, ud las palmas, recreativo de huelva, levante ud, hercules cf, real murcia, real jaen, cadiz cf, cd cartagena, cd mestalla, albacete balompie, cd san fernando, atletico ceuta, cd villarrobledo
[ "what are all the names of the teams?", "of these, which teams had any losses?" ]
{ "column_index": [ 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 ] }
2
of these teams, which had more than 21 losses?
[ "CD Villarrobledo" ]
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas |...
of these teams, which had more than 21 losses? || of these, which teams had any losses? | what are all the names of the teams?
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
table_csv/204_135.csv
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", ...
0
nt-11649
cd villarrobledo
[ "what are all the names of the teams?", "of these, which teams had any losses?", "of these teams, which had more than 21 losses?" ]
{ "column_index": [ 1 ], "row_index": [ 15 ] }
0
what are the losses?
[ "6", "6", "9", "10", "10", "12", "12", "11", "13", "14", "15", "14", "13", "14", "15", "22" ]
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas |...
what are the losses? ||
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
table_csv/204_135.csv
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", ...
1
nt-11649
6, 6, 9, 10, 10, 12, 12, 11, 13, 14, 15, 14, 13, 14, 15, 22
[ "what are the losses?" ]
{ "column_index": [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
1
what team had more than 21 losses?
[ "CD Villarrobledo" ]
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas |...
what team had more than 21 losses? || what are the losses?
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
table_csv/204_135.csv
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", ...
1
nt-11649
cd villarrobledo
[ "what are the losses?", "what team had more than 21 losses?" ]
{ "column_index": [ 1 ], "row_index": [ 15 ] }
0
what were all the teams?
[ "Cordoba CF", "CD Malaga", "Granada CF", "UD Las Palmas", "Recreativo de Huelva", "Levante UD", "Hercules CF", "Real Murcia", "Real Jaen", "Cadiz CF", "CD Cartagena", "CD Mestalla", "Albacete Balompie", "CD San Fernando", "Atletico Ceuta", "CD Villarrobledo" ]
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas |...
what were all the teams? ||
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
table_csv/204_135.csv
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", ...
2
nt-11649
cordoba cf, cd malaga, granada cf, ud las palmas, recreativo de huelva, levante ud, hercules cf, real murcia, real jaen, cadiz cf, cd cartagena, cd mestalla, albacete balompie, cd san fernando, atletico ceuta, cd villarrobledo
[ "what were all the teams?" ]
{ "column_index": [ 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 ] }
1
what were the loss totals of all these teams?
[ "6", "6", "9", "10", "10", "12", "12", "11", "13", "14", "15", "14", "13", "14", "15", "22" ]
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas |...
what were the loss totals of all these teams? || what were all the teams?
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
table_csv/204_135.csv
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", ...
2
nt-11649
6, 6, 9, 10, 10, 12, 12, 11, 13, 14, 15, 14, 13, 14, 15, 22
[ "what were all the teams?", "what were the loss totals of all these teams?" ]
{ "column_index": [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
2
of these totals, which are greater than 21?
[ "22" ]
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas |...
of these totals, which are greater than 21? || what were the loss totals of all these teams? | what were all the teams?
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
table_csv/204_135.csv
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", ...
2
nt-11649
22
[ "what were all the teams?", "what were the loss totals of all these teams?", "of these totals, which are greater than 21?" ]
{ "column_index": [ 6 ], "row_index": [ 15 ] }
3
which team had this loss total?
[ "CD Villarrobledo" ]
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas |...
which team had this loss total? || of these totals, which are greater than 21? | what were the loss totals of all these teams? | what were all the teams?
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
table_csv/204_135.csv
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", ...
2
nt-11649
cd villarrobledo
[ "what were all the teams?", "what were the loss totals of all these teams?", "of these totals, which are greater than 21?", "which team had this loss total?" ]
{ "column_index": [ 1 ], "row_index": [ 15 ] }
0
what was the production numbers of each revolver model?
[ "1,900 (estimated)", "14,500 (estimated)", "6,000 (estimated)", "7,000 (estimated)", "122,000 (approximately)", "28,000 (approximately)", "2,500 - 3,000 (estimated)", "3,000 - 5,000 (estimated)", "25,000 (estimated)", "25,000 (estimated)" ]
col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186...
what was the production numbers of each revolver model? ||
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
table_csv/203_253.csv
[ [ "Remington-Beals Army Model Revolver", "Large", "1861-1862", ".44", "1,900 (estimated)", "8 inch octagon", "nan" ], [ "Remington-Beals Navy Model Revolver", "Medium", "1861-1862", ".36", "14,500 (estimated)", "7 1/2 inch octagon", "nan" ], [ "186...
0
nt-10730
1,900 (estimated), 14,500 (estimated), 6,000 (estimated), 7,000 (estimated), 122,000 (approximately), 28,000 (approximately), 2,500 - 3,000 (estimated), 3,000 - 5,000 (estimated), 25,000 (estimated), 25,000 (estimated)
[ "what was the production numbers of each revolver model?" ]
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
1
which of these was the lowest number produced?
[ "1,900 (estimated)" ]
col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186...
which of these was the lowest number produced? || what was the production numbers of each revolver model?
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
table_csv/203_253.csv
[ [ "Remington-Beals Army Model Revolver", "Large", "1861-1862", ".44", "1,900 (estimated)", "8 inch octagon", "nan" ], [ "Remington-Beals Navy Model Revolver", "Medium", "1861-1862", ".36", "14,500 (estimated)", "7 1/2 inch octagon", "nan" ], [ "186...
0
nt-10730
1,900 (estimated)
[ "what was the production numbers of each revolver model?", "which of these was the lowest number produced?" ]
{ "column_index": [ 4 ], "row_index": [ 0 ] }
2
which model did this number belong to?
[ "Remington-Beals Army Model Revolver" ]
col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186...
which model did this number belong to? || which of these was the lowest number produced? | what was the production numbers of each revolver model?
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
table_csv/203_253.csv
[ [ "Remington-Beals Army Model Revolver", "Large", "1861-1862", ".44", "1,900 (estimated)", "8 inch octagon", "nan" ], [ "Remington-Beals Navy Model Revolver", "Medium", "1861-1862", ".36", "14,500 (estimated)", "7 1/2 inch octagon", "nan" ], [ "186...
0
nt-10730
remington-beals army model revolver
[ "what was the production numbers of each revolver model?", "which of these was the lowest number produced?", "which model did this number belong to?" ]
{ "column_index": [ 0 ], "row_index": [ 0 ] }
0
what three revolver models had the least amount of production?
[ "Remington-Beals Army Model Revolver", "New Model Single Action Belt Revolver", "Remington-Rider Double Action New Model Belt Revolver" ]
col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186...
what three revolver models had the least amount of production? ||
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
table_csv/203_253.csv
[ [ "Remington-Beals Army Model Revolver", "Large", "1861-1862", ".44", "1,900 (estimated)", "8 inch octagon", "nan" ], [ "Remington-Beals Navy Model Revolver", "Medium", "1861-1862", ".36", "14,500 (estimated)", "7 1/2 inch octagon", "nan" ], [ "186...
1
nt-10730
remington-beals army model revolver, new model single action belt revolver, remington-rider double action new model belt revolver
[ "what three revolver models had the least amount of production?" ]
{ "column_index": [ 0, 0, 0 ], "row_index": [ 0, 6, 7 ] }
1
which one had the lowest?
[ "Remington-Beals Army Model Revolver" ]
col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186...
which one had the lowest? || what three revolver models had the least amount of production?
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
table_csv/203_253.csv
[ [ "Remington-Beals Army Model Revolver", "Large", "1861-1862", ".44", "1,900 (estimated)", "8 inch octagon", "nan" ], [ "Remington-Beals Navy Model Revolver", "Medium", "1861-1862", ".36", "14,500 (estimated)", "7 1/2 inch octagon", "nan" ], [ "186...
1
nt-10730
remington-beals army model revolver
[ "what three revolver models had the least amount of production?", "which one had the lowest?" ]
{ "column_index": [ 0 ], "row_index": [ 0 ] }
0
what are all of the remington models?
[ "Remington-Beals Army Model Revolver", "Remington-Beals Navy Model Revolver", "1861 Army Revolver (Old Model Army)", "1861 Navy Revolver", "New Model Army Revolver", "New Model Navy Revolver", "New Model Single Action Belt Revolver", "Remington-Rider Double Action New Model Belt Revolver", "New Mode...
col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186...
what are all of the remington models? ||
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
table_csv/203_253.csv
[ [ "Remington-Beals Army Model Revolver", "Large", "1861-1862", ".44", "1,900 (estimated)", "8 inch octagon", "nan" ], [ "Remington-Beals Navy Model Revolver", "Medium", "1861-1862", ".36", "14,500 (estimated)", "7 1/2 inch octagon", "nan" ], [ "186...
2
nt-10730
remington-beals army model revolver, remington-beals navy model revolver, 1861 army revolver (old model army), 1861 navy revolver, new model army revolver, new model navy revolver, new model single action belt revolver, remington-rider double action new model belt revolver, new model police revolver, new model pocket r...
[ "what are all of the remington models?" ]
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
1
how many were produced?
[ "1,900 (estimated)", "14,500 (estimated)", "6,000 (estimated)", "7,000 (estimated)", "122,000 (approximately)", "28,000 (approximately)", "2,500 - 3,000 (estimated)", "3,000 - 5,000 (estimated)", "25,000 (estimated)", "25,000 (estimated)" ]
col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186...
how many were produced? || what are all of the remington models?
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
table_csv/203_253.csv
[ [ "Remington-Beals Army Model Revolver", "Large", "1861-1862", ".44", "1,900 (estimated)", "8 inch octagon", "nan" ], [ "Remington-Beals Navy Model Revolver", "Medium", "1861-1862", ".36", "14,500 (estimated)", "7 1/2 inch octagon", "nan" ], [ "186...
2
nt-10730
1,900 (estimated), 14,500 (estimated), 6,000 (estimated), 7,000 (estimated), 122,000 (approximately), 28,000 (approximately), 2,500 - 3,000 (estimated), 3,000 - 5,000 (estimated), 25,000 (estimated), 25,000 (estimated)
[ "what are all of the remington models?", "how many were produced?" ]
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
2
which model was the least produced?
[ "Remington-Beals Army Model Revolver" ]
col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186...
which model was the least produced? || how many were produced? | what are all of the remington models?
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
table_csv/203_253.csv
[ [ "Remington-Beals Army Model Revolver", "Large", "1861-1862", ".44", "1,900 (estimated)", "8 inch octagon", "nan" ], [ "Remington-Beals Navy Model Revolver", "Medium", "1861-1862", ".36", "14,500 (estimated)", "7 1/2 inch octagon", "nan" ], [ "186...
2
nt-10730
remington-beals army model revolver
[ "what are all of the remington models?", "how many were produced?", "which model was the least produced?" ]
{ "column_index": [ 0 ], "row_index": [ 0 ] }
0
which nations competed in the 2004 african judo championships?
[ "Algeria", "Tunisia", "Egypt", "Cameroon", "Morocco", "South Africa", "Angola", "Burkina Faso", "Gabon", "Madagascar", "Nigeria", "Senegal", "Congo Republic", "Ivory Coast", "Guinea", "Niger" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
which nations competed in the 2004 african judo championships? ||
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
0
nt-11137
algeria, tunisia, egypt, cameroon, morocco, south africa, angola, burkina faso, gabon, madagascar, nigeria, senegal, congo republic, ivory coast, guinea, niger
[ "which nations competed in the 2004 african judo championships?" ]
{ "column_index": [ 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 ] }
1
of these, which earned more than 7 total medals?
[ "Algeria", "Tunisia", "Egypt" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
of these, which earned more than 7 total medals? || which nations competed in the 2004 african judo championships?
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
0
nt-11137
algeria, tunisia, egypt
[ "which nations competed in the 2004 african judo championships?", "of these, which earned more than 7 total medals?" ]
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 1, 2 ] }
2
of the remaining, which earned the most bronze medals?
[ "Tunisia" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
of the remaining, which earned the most bronze medals? || of these, which earned more than 7 total medals? | which nations competed in the 2004 african judo championships?
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
0
nt-11137
tunisia
[ "which nations competed in the 2004 african judo championships?", "of these, which earned more than 7 total medals?", "of the remaining, which earned the most bronze medals?" ]
{ "column_index": [ 1 ], "row_index": [ 1 ] }
0
which nations competed in the 2004 african judo championships?
[ "Algeria", "Tunisia", "Egypt", "Cameroon", "Morocco", "South Africa", "Angola", "Burkina Faso", "Gabon", "Madagascar", "Nigeria", "Senegal", "Congo Republic", "Ivory Coast", "Guinea", "Niger" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
which nations competed in the 2004 african judo championships? ||
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
1
nt-11137
algeria, tunisia, egypt, cameroon, morocco, south africa, angola, burkina faso, gabon, madagascar, nigeria, senegal, congo republic, ivory coast, guinea, niger
[ "which nations competed in the 2004 african judo championships?" ]
{ "column_index": [ 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 ] }
1
and how many bronze medals did they win?
[ "0", "5", "3", "5", "5", "1", "0", "0", "0", "0", "3", "2", "1", "1", "1", "1" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
and how many bronze medals did they win? || which nations competed in the 2004 african judo championships?
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
1
nt-11137
0, 5, 3, 5, 5, 1, 0, 0, 0, 0, 3, 2, 1, 1, 1, 1
[ "which nations competed in the 2004 african judo championships?", "and how many bronze medals did they win?" ]
{ "column_index": [ 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 ] }
2
how many did just algeria, tunisia, and egypt receive?
[ "0", "5", "3" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
how many did just algeria, tunisia, and egypt receive? || and how many bronze medals did they win? | which nations competed in the 2004 african judo championships?
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
1
nt-11137
0, 5, 3
[ "which nations competed in the 2004 african judo championships?", "and how many bronze medals did they win?", "how many did just algeria, tunisia, and egypt receive?" ]
{ "column_index": [ 4, 4, 4 ], "row_index": [ 0, 1, 2 ] }
3
and of those medals, which nation won more?
[ "Tunisia" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
and of those medals, which nation won more? || how many did just algeria, tunisia, and egypt receive? | and how many bronze medals did they win? | which nations competed in the 2004 african judo championships?
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
1
nt-11137
tunisia
[ "which nations competed in the 2004 african judo championships?", "and how many bronze medals did they win?", "how many did just algeria, tunisia, and egypt receive?", "and of those medals, which nation won more?" ]
{ "column_index": [ 1 ], "row_index": [ 1 ] }
0
what are the names of the competing nations?
[ "Algeria", "Tunisia", "Egypt", "Cameroon", "Morocco", "South Africa", "Angola", "Burkina Faso", "Gabon", "Madagascar", "Nigeria", "Senegal", "Congo Republic", "Ivory Coast", "Guinea", "Niger" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
what are the names of the competing nations? ||
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
2
nt-11137
algeria, tunisia, egypt, cameroon, morocco, south africa, angola, burkina faso, gabon, madagascar, nigeria, senegal, congo republic, ivory coast, guinea, niger
[ "what are the names of the competing nations?" ]
{ "column_index": [ 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 ] }
1
which nations won at least 1 bronze medal?
[ "Tunisia", "Egypt", "Cameroon", "Morocco", "South Africa", "Nigeria", "Senegal", "Congo Republic", "Ivory Coast", "Guinea", "Niger" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
which nations won at least 1 bronze medal? || what are the names of the competing nations?
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
2
nt-11137
tunisia, egypt, cameroon, morocco, south africa, nigeria, senegal, congo republic, ivory coast, guinea, niger
[ "what are the names of the competing nations?", "which nations won at least 1 bronze medal?" ]
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 1, 2, 3, 4, 5, 10, 11, 12, 13, 14, 15 ] }
2
of these, which won at least 5 bronze medals?
[ "Tunisia", "Cameroon", "Morocco" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
of these, which won at least 5 bronze medals? || which nations won at least 1 bronze medal? | what are the names of the competing nations?
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
2
nt-11137
tunisia, cameroon, morocco
[ "what are the names of the competing nations?", "which nations won at least 1 bronze medal?", "of these, which won at least 5 bronze medals?" ]
{ "column_index": [ 1, 1, 1 ], "row_index": [ 1, 3, 4 ] }
3
which nations won less than 1 bronze medal?
[ "Algeria", "Angola", "Burkina Faso", "Gabon", "Madagascar" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
which nations won less than 1 bronze medal? || of these, which won at least 5 bronze medals? | which nations won at least 1 bronze medal? | what are the names of the competing nations?
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
2
nt-11137
algeria, angola, burkina faso, gabon, madagascar
[ "what are the names of the competing nations?", "which nations won at least 1 bronze medal?", "of these, which won at least 5 bronze medals?", "which nations won less than 1 bronze medal?" ]
{ "column_index": [ 1, 1, 1, 1, 1 ], "row_index": [ 0, 6, 7, 8, 9 ] }
4
which nation, algeria, tunisia, or egypt, won the most bronze medals?
[ "Tunisia" ]
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 ...
which nation, algeria, tunisia, or egypt, won the most bronze medals? || which nations won less than 1 bronze medal? | of these, which won at least 5 bronze medals? | which nations won at least 1 bronze medal? | what are the names of the competing nations?
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
table_csv/204_34.csv
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1",...
2
nt-11137
tunisia
[ "what are the names of the competing nations?", "which nations won at least 1 bronze medal?", "of these, which won at least 5 bronze medals?", "which nations won less than 1 bronze medal?", "which nation, algeria, tunisia, or egypt, won the most bronze medals?" ]
{ "column_index": [ 1 ], "row_index": [ 1 ] }
0
who are all the athletes?
[ "Tommy Green", "Janis Dalins", "Ugo Frigerio", "Karl Hahnel", "Ettore Rivolta", "Paul Sievert", "Henri Quintric", "Ernie Crosbie", "Bill Chisholm", "Alfred Maasik", "Henry Cieman", "John Moralis", "Francesco Pretti", "Arthur Tell Schwab", "Harry Hinkel" ]
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
who are all the athletes? ||
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
table_csv/204_521.csv
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
0
ns-1292
tommy green, janis dalins, ugo frigerio, karl hahnel, ettore rivolta, paul sievert, henri quintric, ernie crosbie, bill chisholm, alfred maasik, henry cieman, john moralis, francesco pretti, arthur tell schwab, harry hinkel
[ "who are all the athletes?" ]
{ "column_index": [ 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 ] }
1
where are they from?
[ "Great Britain", "Latvia", "Italy", "Germany", "Italy", "Germany", "France", "United States", "United States", "Estonia", "Canada", "Greece", "Italy", "Switzerland", "United States" ]
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
where are they from? || who are all the athletes?
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
table_csv/204_521.csv
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
0
ns-1292
great britain, latvia, italy, germany, italy, germany, france, united states, united states, estonia, canada, greece, italy, switzerland, united states
[ "who are all the athletes?", "where are they from?" ]
{ "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 ] }
2
along with paul sievert, which athlete is from germany?
[ "Karl Hahnel" ]
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
along with paul sievert, which athlete is from germany? || where are they from? | who are all the athletes?
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
table_csv/204_521.csv
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
0
ns-1292
karl hahnel
[ "who are all the athletes?", "where are they from?", "along with paul sievert, which athlete is from germany?" ]
{ "column_index": [ 1 ], "row_index": [ 3 ] }
0
who competed in the men's 50 kilometer walk at the 1932 summer olympics?
[ "Tommy Green", "Janis Dalins", "Ugo Frigerio", "Karl Hahnel", "Ettore Rivolta", "Paul Sievert", "Henri Quintric", "Ernie Crosbie", "Bill Chisholm", "Alfred Maasik", "Henry Cieman", "John Moralis", "Francesco Pretti", "Arthur Tell Schwab", "Harry Hinkel" ]
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
who competed in the men's 50 kilometer walk at the 1932 summer olympics? ||
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
table_csv/204_521.csv
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
1
ns-1292
tommy green, janis dalins, ugo frigerio, karl hahnel, ettore rivolta, paul sievert, henri quintric, ernie crosbie, bill chisholm, alfred maasik, henry cieman, john moralis, francesco pretti, arthur tell schwab, harry hinkel
[ "who competed in the men's 50 kilometer walk at the 1932 summer olympics?" ]
{ "column_index": [ 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 ] }
1
of those competitors in the 1932 summer olympics men's 50 kilometer walk, which ones were from germany?
[ "Karl Hahnel", "Paul Sievert" ]
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
of those competitors in the 1932 summer olympics men's 50 kilometer walk, which ones were from germany? || who competed in the men's 50 kilometer walk at the 1932 summer olympics?
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
table_csv/204_521.csv
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
1
ns-1292
karl hahnel, paul sievert
[ "who competed in the men's 50 kilometer walk at the 1932 summer olympics?", "of those competitors in the 1932 summer olympics men's 50 kilometer walk, which ones were from germany?" ]
{ "column_index": [ 1, 1 ], "row_index": [ 3, 5 ] }
2
of those competitors from germany, which was not paul sievert?
[ "Karl Hahnel" ]
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
of those competitors from germany, which was not paul sievert? || of those competitors in the 1932 summer olympics men's 50 kilometer walk, which ones were from germany? | who competed in the men's 50 kilometer walk at the 1932 summer olympics?
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
table_csv/204_521.csv
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
1
ns-1292
karl hahnel
[ "who competed in the men's 50 kilometer walk at the 1932 summer olympics?", "of those competitors in the 1932 summer olympics men's 50 kilometer walk, which ones were from germany?", "of those competitors from germany, which was not paul sievert?" ]
{ "column_index": [ 1 ], "row_index": [ 3 ] }
0
what competitors were from germany?
[ "Karl Hahnel", "Paul Sievert" ]
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
what competitors were from germany? ||
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
table_csv/204_521.csv
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
2
ns-1292
karl hahnel, paul sievert
[ "what competitors were from germany?" ]
{ "column_index": [ 1, 1 ], "row_index": [ 3, 5 ] }
1
who was not paul sievert?
[ "Karl Hahnel" ]
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
who was not paul sievert? || what competitors were from germany?
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
table_csv/204_521.csv
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
2
ns-1292
karl hahnel
[ "what competitors were from germany?", "who was not paul sievert?" ]
{ "column_index": [ 1 ], "row_index": [ 3 ] }
0
what was the population of ghimbav in 2007?
[ "5,357" ]
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5...
what was the population of ghimbav in 2007? ||
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
table_csv/203_465.csv
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "...
0
nt-6436
5,357
[ "what was the population of ghimbav in 2007?" ]
{ "column_index": [ 2 ], "row_index": [ 3 ] }
1
what was the population of sacele in 2007?
[ "31,796" ]
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5...
what was the population of sacele in 2007? || what was the population of ghimbav in 2007?
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
table_csv/203_465.csv
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "...
0
nt-6436
31,796
[ "what was the population of ghimbav in 2007?", "what was the population of sacele in 2007?" ]
{ "column_index": [ 2 ], "row_index": [ 2 ] }
2
what was the population of predeal in 2007?
[ "5,174" ]
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5...
what was the population of predeal in 2007? || what was the population of sacele in 2007? | what was the population of ghimbav in 2007?
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
table_csv/203_465.csv
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "...
0
nt-6436
5,174
[ "what was the population of ghimbav in 2007?", "what was the population of sacele in 2007?", "what was the population of predeal in 2007?" ]
{ "column_index": [ 2 ], "row_index": [ 4 ] }
0
what locations are in brasov metropolitan area?
[ "Brasov", "Codlea", "Sacele", "Ghimbav", "Predeal", "Rasnov", "Cristian", "Sanpetru", "Halchiu", "Tarlungeni", "Prejmer", "Harman", "Bod" ]
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5...
what locations are in brasov metropolitan area? ||
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
table_csv/203_465.csv
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "...
1
nt-6436
brasov, codlea, sacele, ghimbav, predeal, rasnov, cristian, sanpetru, halchiu, tarlungeni, prejmer, harman, bod
[ "what locations are in brasov metropolitan area?" ]
{ "column_index": [ 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 ] }
1
what was the population of each location during 2007?
[ "277,945", "24,550", "31,796", "5,357", "5,174", "16,055", "4,300", "3,759", "4,560", "7,996", "8,876", "4,775", "4,173" ]
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5...
what was the population of each location during 2007? || what locations are in brasov metropolitan area?
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
table_csv/203_465.csv
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "...
1
nt-6436
277,945, 24,550, 31,796, 5,357, 5,174, 16,055, 4,300, 3,759, 4,560, 7,996, 8,876, 4,775, 4,173
[ "what locations are in brasov metropolitan area?", "what was the population of each location during 2007?" ]
{ "column_index": [ 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 ] }
2
of those, which population is associated with predeal?
[ "5,174" ]
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5...
of those, which population is associated with predeal? || what was the population of each location during 2007? | what locations are in brasov metropolitan area?
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
table_csv/203_465.csv
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "...
1
nt-6436
5,174
[ "what locations are in brasov metropolitan area?", "what was the population of each location during 2007?", "of those, which population is associated with predeal?" ]
{ "column_index": [ 2 ], "row_index": [ 4 ] }
0
what are the names of all the localities in the brasov metropolitan area?
[ "Brasov", "Codlea", "Sacele", "Ghimbav", "Predeal", "Rasnov", "Cristian", "Sanpetru", "Halchiu", "Tarlungeni", "Prejmer", "Harman", "Bod" ]
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5...
what are the names of all the localities in the brasov metropolitan area? ||
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
table_csv/203_465.csv
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "...
2
nt-6436
brasov, codlea, sacele, ghimbav, predeal, rasnov, cristian, sanpetru, halchiu, tarlungeni, prejmer, harman, bod
[ "what are the names of all the localities in the brasov metropolitan area?" ]
{ "column_index": [ 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 ] }
1
what is the amount of residents for predeal for 2007's recording?
[ "5,174" ]
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5...
what is the amount of residents for predeal for 2007's recording? || what are the names of all the localities in the brasov metropolitan area?
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
table_csv/203_465.csv
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "...
2
nt-6436
5,174
[ "what are the names of all the localities in the brasov metropolitan area?", "what is the amount of residents for predeal for 2007's recording?" ]
{ "column_index": [ 2 ], "row_index": [ 4 ] }
0
what are all the schools?
[ "Clemson University", "Maryland", "Navy", "North Carolina", "North Carolina State", "University of Virginia", "Virginia Tech", "Wake Forest" ]
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland ...
what are all the schools? ||
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
table_csv/204_442.csv
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", ...
0
nt-2798
clemson university, maryland, navy, north carolina, north carolina state, university of virginia, virginia tech, wake forest
[ "what are all the schools?" ]
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
1
what is their enrollment amount?
[ "20,576", "37,641", "4,576", "29,340", "34,767", "20,895", "30,379", "7,079" ]
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland ...
what is their enrollment amount? || what are all the schools?
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
table_csv/204_442.csv
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", ...
0
nt-2798
20,576, 37,641, 4,576, 29,340, 34,767, 20,895, 30,379, 7,079
[ "what are all the schools?", "what is their enrollment amount?" ]
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
2
between clemson and virginia tech, which has a higher enrollment?
[ "Virginia Tech" ]
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland ...
between clemson and virginia tech, which has a higher enrollment? || what is their enrollment amount? | what are all the schools?
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
table_csv/204_442.csv
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", ...
0
nt-2798
virginia tech
[ "what are all the schools?", "what is their enrollment amount?", "between clemson and virginia tech, which has a higher enrollment?" ]
{ "column_index": [ 0 ], "row_index": [ 6 ] }
0
which of the schools have an enrollment greater than 20000 students?
[ "Clemson University", "Maryland", "North Carolina", "North Carolina State", "University of Virginia", "Virginia Tech" ]
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland ...
which of the schools have an enrollment greater than 20000 students? ||
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
table_csv/204_442.csv
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", ...
1
nt-2798
clemson university, maryland, north carolina, north carolina state, university of virginia, virginia tech
[ "which of the schools have an enrollment greater than 20000 students?" ]
{ "column_index": [ 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 3, 4, 5, 6 ] }
1
of these schools, which has been playing rugby the longest?
[ "Virginia Tech" ]
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland ...
of these schools, which has been playing rugby the longest? || which of the schools have an enrollment greater than 20000 students?
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
table_csv/204_442.csv
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", ...
1
nt-2798
virginia tech
[ "which of the schools have an enrollment greater than 20000 students?", "of these schools, which has been playing rugby the longest?" ]
{ "column_index": [ 0 ], "row_index": [ 6 ] }
0
which of the schools below are not from maryland or north carolina?
[ "Clemson University", "University of Virginia", "Virginia Tech" ]
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland ...
which of the schools below are not from maryland or north carolina? ||
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
table_csv/204_442.csv
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", ...
2
nt-2798
clemson university, university of virginia, virginia tech
[ "which of the schools below are not from maryland or north carolina?" ]
{ "column_index": [ 0, 0, 0 ], "row_index": [ 0, 5, 6 ] }
1
of those, which have an enrollment greater than 20,000?
[ "Clemson University", "Virginia Tech" ]
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland ...
of those, which have an enrollment greater than 20,000? || which of the schools below are not from maryland or north carolina?
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
table_csv/204_442.csv
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", ...
2
nt-2798
clemson university, virginia tech
[ "which of the schools below are not from maryland or north carolina?", "of those, which have an enrollment greater than 20,000?" ]
{ "column_index": [ 0, 0 ], "row_index": [ 0, 6 ] }
2
of these, which has more students enrolled?
[ "Virginia Tech" ]
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland ...
of these, which has more students enrolled? || of those, which have an enrollment greater than 20,000? | which of the schools below are not from maryland or north carolina?
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
table_csv/204_442.csv
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", ...
2
nt-2798
virginia tech
[ "which of the schools below are not from maryland or north carolina?", "of those, which have an enrollment greater than 20,000?", "of these, which has more students enrolled?" ]
{ "column_index": [ 0 ], "row_index": [ 6 ] }
0
which shows on fox are available on thursday?
[ "The Morning Click", "", "FBN Live", "On the Hunt", "Fox Car Report" ]
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn l...
which shows on fox are available on thursday? ||
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
table_csv/204_839.csv
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", ...
0
ns-1107
the morning click, , fbn live, on the hunt, fox car report
[ "which shows on fox are available on thursday?" ]
{ "column_index": [ 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 7 ] }
1
of these shows, which program only airs on thursday?
[ "Fox Car Report" ]
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn l...
of these shows, which program only airs on thursday? || which shows on fox are available on thursday?
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
table_csv/204_839.csv
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", ...
0
ns-1107
fox car report
[ "which shows on fox are available on thursday?", "of these shows, which program only airs on thursday?" ]
{ "column_index": [ 2 ], "row_index": [ 7 ] }
0
what are the shows?
[ "Monday-Friday", "The Morning Click", "Monday-Friday", "", "Monday-Friday", "FBN Live", "Monday-Friday", "On the Hunt", "Monday", "Entertainment Hour", "Tuesday", "", "Wednesday", "Defcon 3", "Thursday", "Fox Car Report", "Friday", "Spirited Debate" ]
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn l...
what are the shows? ||
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
table_csv/204_839.csv
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", ...
1
ns-1107
monday-friday, the morning click, monday-friday, , monday-friday, fbn live, monday-friday, on the hunt, monday, entertainment hour, tuesday, , wednesday, defcon 3, thursday, fox car report, friday, spirited debate
[ "what are the shows?" ]
{ "column_index": [ 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2 ], "row_index": [ 0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8 ] }
1
what shows are only on thursday?
[ "Thursday", "Fox Car Report" ]
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn l...
what shows are only on thursday? || what are the shows?
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
table_csv/204_839.csv
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", ...
1
ns-1107
thursday, fox car report
[ "what are the shows?", "what shows are only on thursday?" ]
{ "column_index": [ 1, 2 ], "row_index": [ 7, 7 ] }
2
what show is it?
[ "Fox Car Report" ]
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn l...
what show is it? || what shows are only on thursday? | what are the shows?
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
table_csv/204_839.csv
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", ...
1
ns-1107
fox car report
[ "what are the shows?", "what shows are only on thursday?", "what show is it?" ]
{ "column_index": [ 2 ], "row_index": [ 7 ] }
0
what are all of the program names?
[ "The Morning Click", "FBN Live", "On the Hunt", "Entertainment Hour", "Defcon 3", "Fox Car Report", "Spirited Debate" ]
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn l...
what are all of the program names? ||
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
table_csv/204_839.csv
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", ...
2
ns-1107
the morning click, fbn live, on the hunt, entertainment hour, defcon 3, fox car report, spirited debate
[ "what are all of the program names?" ]
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 2, 3, 4, 6, 7, 8 ] }
1
on which days do they air?
[ "Monday-Friday", "Monday-Friday", "Monday-Friday", "Monday", "Wednesday", "Thursday", "Friday" ]
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn l...
on which days do they air? || what are all of the program names?
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
table_csv/204_839.csv
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", ...
2
ns-1107
monday-friday, monday-friday, monday-friday, monday, wednesday, thursday, friday
[ "what are all of the program names?", "on which days do they air?" ]
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 2, 3, 4, 6, 7, 8 ] }
2
and of those programs, which only airs on thursday?
[ "Fox Car Report" ]
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn l...
and of those programs, which only airs on thursday? || on which days do they air? | what are all of the program names?
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
table_csv/204_839.csv
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", ...
2
ns-1107
fox car report
[ "what are all of the program names?", "on which days do they air?", "and of those programs, which only airs on thursday?" ]
{ "column_index": [ 2 ], "row_index": [ 7 ] }
0
what were all of the placements at miss world by the miss northern ireland winners?
[ "Top 30", "Non-Finalist", "Top 25", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Top 17", "Top 15", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Non-Finalist" ]
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore ...
what were all of the placements at miss world by the miss northern ireland winners? ||
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
table_csv/203_727.csv
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", ...
0
ns-2611
top 30, non-finalist, top 25, non-finalist, non-finalist, non-finalist, top 17, top 15, non-finalist, non-finalist, non-finalist, non-finalist, non-finalist
[ "what were all of the placements at miss world by the miss northern ireland winners?" ]
{ "column_index": [ 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 ] }
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