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nt-8287
col : year | competition | venue | position | notes row 1 : 1995 | world indoor championships | barcelona, spain | 11th | pentathlon row 2 : 1996 | olympic games | atlanta, georgia, usa | 24th | heptathlon row 3 : 1997 | world championships | athens, greece | 16th | heptathlon row 4 : 1998 | european indoor championships | valencia, spain | 7th | pentathlon row 5 : 1998 | european championships | budapest, hungary | 14th | heptathlon row 6 : 2000 | olympic games | sydney, australia | dnf | heptathlon
table_csv/204_503.csv
3
{ "column_index": [ 1 ], "row_index": [ 3 ] }
[ "what different competitions were held?", "what were the various venues these competitions were held at?", "of these, which were held in spain?", "of the competitions held in spain, which was held in valencia?" ]
1
european indoor championships
[ "Year", "Competition", "Venue", "Position", "Notes" ]
of the competitions held in spain, which was held in valencia?
[ [ "1995", "World Indoor Championships", "Barcelona, Spain", "11th", "Pentathlon" ], [ "1996", "Olympic Games", "Atlanta, Georgia, USA", "24th", "Heptathlon" ], [ "1997", "World Championships", "Athens, Greece", "16th", "Heptathlon" ], [ "1998", "European Indoor Championships", "Valencia, Spain", "7th", "Pentathlon" ], [ "1998", "European Championships", "Budapest, Hungary", "14th", "Heptathlon" ], [ "2000", "Olympic Games", "Sydney, Australia", "DNF", "Heptathlon" ] ]
[ "European Indoor Championships" ]
of the competitions held in spain, which was held in valencia? || of these, which were held in spain? | what were the various venues these competitions were held at? | what different competitions were held?
nt-8287
col : year | competition | venue | position | notes row 1 : 1995 | world indoor championships | barcelona, spain | 11th | pentathlon row 2 : 1996 | olympic games | atlanta, georgia, usa | 24th | heptathlon row 3 : 1997 | world championships | athens, greece | 16th | heptathlon row 4 : 1998 | european indoor championships | valencia, spain | 7th | pentathlon row 5 : 1998 | european championships | budapest, hungary | 14th | heptathlon row 6 : 2000 | olympic games | sydney, australia | dnf | heptathlon
table_csv/204_503.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "what competitions are shown?" ]
2
world indoor championships, olympic games, world championships, european indoor championships, european championships, olympic games
[ "Year", "Competition", "Venue", "Position", "Notes" ]
what competitions are shown?
[ [ "1995", "World Indoor Championships", "Barcelona, Spain", "11th", "Pentathlon" ], [ "1996", "Olympic Games", "Atlanta, Georgia, USA", "24th", "Heptathlon" ], [ "1997", "World Championships", "Athens, Greece", "16th", "Heptathlon" ], [ "1998", "European Indoor Championships", "Valencia, Spain", "7th", "Pentathlon" ], [ "1998", "European Championships", "Budapest, Hungary", "14th", "Heptathlon" ], [ "2000", "Olympic Games", "Sydney, Australia", "DNF", "Heptathlon" ] ]
[ "World Indoor Championships", "Olympic Games", "World Championships", "European Indoor Championships", "European Championships", "Olympic Games" ]
what competitions are shown? ||
nt-8287
col : year | competition | venue | position | notes row 1 : 1995 | world indoor championships | barcelona, spain | 11th | pentathlon row 2 : 1996 | olympic games | atlanta, georgia, usa | 24th | heptathlon row 3 : 1997 | world championships | athens, greece | 16th | heptathlon row 4 : 1998 | european indoor championships | valencia, spain | 7th | pentathlon row 5 : 1998 | european championships | budapest, hungary | 14th | heptathlon row 6 : 2000 | olympic games | sydney, australia | dnf | heptathlon
table_csv/204_503.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 3, 4 ] }
[ "what competitions are shown?", "which of those are european?" ]
2
european indoor championships, european championships
[ "Year", "Competition", "Venue", "Position", "Notes" ]
which of those are european?
[ [ "1995", "World Indoor Championships", "Barcelona, Spain", "11th", "Pentathlon" ], [ "1996", "Olympic Games", "Atlanta, Georgia, USA", "24th", "Heptathlon" ], [ "1997", "World Championships", "Athens, Greece", "16th", "Heptathlon" ], [ "1998", "European Indoor Championships", "Valencia, Spain", "7th", "Pentathlon" ], [ "1998", "European Championships", "Budapest, Hungary", "14th", "Heptathlon" ], [ "2000", "Olympic Games", "Sydney, Australia", "DNF", "Heptathlon" ] ]
[ "European Indoor Championships", "European Championships" ]
which of those are european? || what competitions are shown?
nt-8287
col : year | competition | venue | position | notes row 1 : 1995 | world indoor championships | barcelona, spain | 11th | pentathlon row 2 : 1996 | olympic games | atlanta, georgia, usa | 24th | heptathlon row 3 : 1997 | world championships | athens, greece | 16th | heptathlon row 4 : 1998 | european indoor championships | valencia, spain | 7th | pentathlon row 5 : 1998 | european championships | budapest, hungary | 14th | heptathlon row 6 : 2000 | olympic games | sydney, australia | dnf | heptathlon
table_csv/204_503.csv
2
{ "column_index": [ 1 ], "row_index": [ 3 ] }
[ "what competitions are shown?", "which of those are european?", "which of those was held in spain?" ]
2
european indoor championships
[ "Year", "Competition", "Venue", "Position", "Notes" ]
which of those was held in spain?
[ [ "1995", "World Indoor Championships", "Barcelona, Spain", "11th", "Pentathlon" ], [ "1996", "Olympic Games", "Atlanta, Georgia, USA", "24th", "Heptathlon" ], [ "1997", "World Championships", "Athens, Greece", "16th", "Heptathlon" ], [ "1998", "European Indoor Championships", "Valencia, Spain", "7th", "Pentathlon" ], [ "1998", "European Championships", "Budapest, Hungary", "14th", "Heptathlon" ], [ "2000", "Olympic Games", "Sydney, Australia", "DNF", "Heptathlon" ] ]
[ "European Indoor Championships" ]
which of those was held in spain? || which of those are european? | what competitions are shown?
nt-8284
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17 row 7 : 7 | poland | 7 | 5 | 9 | 21 row 8 : 8 | hungary | 6 | 13 | 16 | 35 row 9 : 9 | bulgaria | 6 | 10 | 5 | 21 row 10 : 10 | italy | 5 | 3 | 10 | 18
table_csv/204_822.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 of the listed nations?" ]
0
soviet union, united states, east germany (gdr), west germany (frg), japan, australia, poland, hungary, bulgaria, italy
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what are all of the listed nations?
[ [ "1", "Soviet Union", "50", "27", "22", "99" ], [ "2", "United States", "33", "31", "30", "94" ], [ "3", "East Germany (GDR)", "20", "23", "23", "66" ], [ "4", "West Germany (FRG)", "13", "11", "16", "40" ], [ "5", "Japan", "13", "8", "8", "29" ], [ "6", "Australia", "8", "7", "2", "17" ], [ "7", "Poland", "7", "5", "9", "21" ], [ "8", "Hungary", "6", "13", "16", "35" ], [ "9", "Bulgaria", "6", "10", "5", "21" ], [ "10", "Italy", "5", "3", "10", "18" ] ]
[ "Soviet Union", "United States", "East Germany (GDR)", "West Germany (FRG)", "Japan", "Australia", "Poland", "Hungary", "Bulgaria", "Italy" ]
what are all of the listed nations? ||
nt-8284
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17 row 7 : 7 | poland | 7 | 5 | 9 | 21 row 8 : 8 | hungary | 6 | 13 | 16 | 35 row 9 : 9 | bulgaria | 6 | 10 | 5 | 21 row 10 : 10 | italy | 5 | 3 | 10 | 18
table_csv/204_822.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all of the listed nations?", "how many gold medals did they receive?" ]
0
50, 33, 20, 13, 13, 8, 7, 6, 6, 5
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many gold medals did they receive?
[ [ "1", "Soviet Union", "50", "27", "22", "99" ], [ "2", "United States", "33", "31", "30", "94" ], [ "3", "East Germany (GDR)", "20", "23", "23", "66" ], [ "4", "West Germany (FRG)", "13", "11", "16", "40" ], [ "5", "Japan", "13", "8", "8", "29" ], [ "6", "Australia", "8", "7", "2", "17" ], [ "7", "Poland", "7", "5", "9", "21" ], [ "8", "Hungary", "6", "13", "16", "35" ], [ "9", "Bulgaria", "6", "10", "5", "21" ], [ "10", "Italy", "5", "3", "10", "18" ] ]
[ "50", "33", "20", "13", "13", "8", "7", "6", "6", "5" ]
how many gold medals did they receive? || what are all of the listed nations?
nt-8284
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17 row 7 : 7 | poland | 7 | 5 | 9 | 21 row 8 : 8 | hungary | 6 | 13 | 16 | 35 row 9 : 9 | bulgaria | 6 | 10 | 5 | 21 row 10 : 10 | italy | 5 | 3 | 10 | 18
table_csv/204_822.csv
2
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "what are all of the listed nations?", "how many gold medals did they receive?", "along with bulgaria, which nation won 6 gold medals?" ]
0
hungary
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
along with bulgaria, which nation won 6 gold medals?
[ [ "1", "Soviet Union", "50", "27", "22", "99" ], [ "2", "United States", "33", "31", "30", "94" ], [ "3", "East Germany (GDR)", "20", "23", "23", "66" ], [ "4", "West Germany (FRG)", "13", "11", "16", "40" ], [ "5", "Japan", "13", "8", "8", "29" ], [ "6", "Australia", "8", "7", "2", "17" ], [ "7", "Poland", "7", "5", "9", "21" ], [ "8", "Hungary", "6", "13", "16", "35" ], [ "9", "Bulgaria", "6", "10", "5", "21" ], [ "10", "Italy", "5", "3", "10", "18" ] ]
[ "Hungary" ]
along with bulgaria, which nation won 6 gold medals? || how many gold medals did they receive? | what are all of the listed nations?
nt-8284
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17 row 7 : 7 | poland | 7 | 5 | 9 | 21 row 8 : 8 | hungary | 6 | 13 | 16 | 35 row 9 : 9 | bulgaria | 6 | 10 | 5 | 21 row 10 : 10 | italy | 5 | 3 | 10 | 18
table_csv/204_822.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 nations played in munich?" ]
1
soviet union, united states, east germany (gdr), west germany (frg), japan, australia, poland, hungary, bulgaria, italy
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what nations played in munich?
[ [ "1", "Soviet Union", "50", "27", "22", "99" ], [ "2", "United States", "33", "31", "30", "94" ], [ "3", "East Germany (GDR)", "20", "23", "23", "66" ], [ "4", "West Germany (FRG)", "13", "11", "16", "40" ], [ "5", "Japan", "13", "8", "8", "29" ], [ "6", "Australia", "8", "7", "2", "17" ], [ "7", "Poland", "7", "5", "9", "21" ], [ "8", "Hungary", "6", "13", "16", "35" ], [ "9", "Bulgaria", "6", "10", "5", "21" ], [ "10", "Italy", "5", "3", "10", "18" ] ]
[ "Soviet Union", "United States", "East Germany (GDR)", "West Germany (FRG)", "Japan", "Australia", "Poland", "Hungary", "Bulgaria", "Italy" ]
what nations played in munich? ||
nt-8284
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17 row 7 : 7 | poland | 7 | 5 | 9 | 21 row 8 : 8 | hungary | 6 | 13 | 16 | 35 row 9 : 9 | bulgaria | 6 | 10 | 5 | 21 row 10 : 10 | italy | 5 | 3 | 10 | 18
table_csv/204_822.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 7, 8 ] }
[ "what nations played in munich?", "which nation scored 6 gold medals?" ]
1
hungary, bulgaria
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which nation scored 6 gold medals?
[ [ "1", "Soviet Union", "50", "27", "22", "99" ], [ "2", "United States", "33", "31", "30", "94" ], [ "3", "East Germany (GDR)", "20", "23", "23", "66" ], [ "4", "West Germany (FRG)", "13", "11", "16", "40" ], [ "5", "Japan", "13", "8", "8", "29" ], [ "6", "Australia", "8", "7", "2", "17" ], [ "7", "Poland", "7", "5", "9", "21" ], [ "8", "Hungary", "6", "13", "16", "35" ], [ "9", "Bulgaria", "6", "10", "5", "21" ], [ "10", "Italy", "5", "3", "10", "18" ] ]
[ "Hungary", "Bulgaria" ]
which nation scored 6 gold medals? || what nations played in munich?
nt-8284
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17 row 7 : 7 | poland | 7 | 5 | 9 | 21 row 8 : 8 | hungary | 6 | 13 | 16 | 35 row 9 : 9 | bulgaria | 6 | 10 | 5 | 21 row 10 : 10 | italy | 5 | 3 | 10 | 18
table_csv/204_822.csv
2
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "what nations played in munich?", "which nation scored 6 gold medals?", "other than bulgaria, which nations scored these medals?" ]
1
hungary
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
other than bulgaria, which nations scored these medals?
[ [ "1", "Soviet Union", "50", "27", "22", "99" ], [ "2", "United States", "33", "31", "30", "94" ], [ "3", "East Germany (GDR)", "20", "23", "23", "66" ], [ "4", "West Germany (FRG)", "13", "11", "16", "40" ], [ "5", "Japan", "13", "8", "8", "29" ], [ "6", "Australia", "8", "7", "2", "17" ], [ "7", "Poland", "7", "5", "9", "21" ], [ "8", "Hungary", "6", "13", "16", "35" ], [ "9", "Bulgaria", "6", "10", "5", "21" ], [ "10", "Italy", "5", "3", "10", "18" ] ]
[ "Hungary" ]
other than bulgaria, which nations scored these medals? || which nation scored 6 gold medals? | what nations played in munich?
nt-8284
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17 row 7 : 7 | poland | 7 | 5 | 9 | 21 row 8 : 8 | hungary | 6 | 13 | 16 | 35 row 9 : 9 | bulgaria | 6 | 10 | 5 | 21 row 10 : 10 | italy | 5 | 3 | 10 | 18
table_csv/204_822.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 countries won gold medals in sports in munich?" ]
2
soviet union, united states, east germany (gdr), west germany (frg), japan, australia, poland, hungary, bulgaria, italy
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries won gold medals in sports in munich?
[ [ "1", "Soviet Union", "50", "27", "22", "99" ], [ "2", "United States", "33", "31", "30", "94" ], [ "3", "East Germany (GDR)", "20", "23", "23", "66" ], [ "4", "West Germany (FRG)", "13", "11", "16", "40" ], [ "5", "Japan", "13", "8", "8", "29" ], [ "6", "Australia", "8", "7", "2", "17" ], [ "7", "Poland", "7", "5", "9", "21" ], [ "8", "Hungary", "6", "13", "16", "35" ], [ "9", "Bulgaria", "6", "10", "5", "21" ], [ "10", "Italy", "5", "3", "10", "18" ] ]
[ "Soviet Union", "United States", "East Germany (GDR)", "West Germany (FRG)", "Japan", "Australia", "Poland", "Hungary", "Bulgaria", "Italy" ]
which countries won gold medals in sports in munich? ||
nt-8284
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17 row 7 : 7 | poland | 7 | 5 | 9 | 21 row 8 : 8 | hungary | 6 | 13 | 16 | 35 row 9 : 9 | bulgaria | 6 | 10 | 5 | 21 row 10 : 10 | italy | 5 | 3 | 10 | 18
table_csv/204_822.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 7, 8 ] }
[ "which countries won gold medals in sports in munich?", "of those countries, which won 6 gold medals?" ]
2
hungary, bulgaria
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of those countries, which won 6 gold medals?
[ [ "1", "Soviet Union", "50", "27", "22", "99" ], [ "2", "United States", "33", "31", "30", "94" ], [ "3", "East Germany (GDR)", "20", "23", "23", "66" ], [ "4", "West Germany (FRG)", "13", "11", "16", "40" ], [ "5", "Japan", "13", "8", "8", "29" ], [ "6", "Australia", "8", "7", "2", "17" ], [ "7", "Poland", "7", "5", "9", "21" ], [ "8", "Hungary", "6", "13", "16", "35" ], [ "9", "Bulgaria", "6", "10", "5", "21" ], [ "10", "Italy", "5", "3", "10", "18" ] ]
[ "Hungary", "Bulgaria" ]
of those countries, which won 6 gold medals? || which countries won gold medals in sports in munich?
nt-8284
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union | 50 | 27 | 22 | 99 row 2 : 2 | united states | 33 | 31 | 30 | 94 row 3 : 3 | east germany (gdr) | 20 | 23 | 23 | 66 row 4 : 4 | west germany (frg) | 13 | 11 | 16 | 40 row 5 : 5 | japan | 13 | 8 | 8 | 29 row 6 : 6 | australia | 8 | 7 | 2 | 17 row 7 : 7 | poland | 7 | 5 | 9 | 21 row 8 : 8 | hungary | 6 | 13 | 16 | 35 row 9 : 9 | bulgaria | 6 | 10 | 5 | 21 row 10 : 10 | italy | 5 | 3 | 10 | 18
table_csv/204_822.csv
2
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "which countries won gold medals in sports in munich?", "of those countries, which won 6 gold medals?", "of those countries that won 6 gold medals, which is not bulgaria?" ]
2
hungary
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of those countries that won 6 gold medals, which is not bulgaria?
[ [ "1", "Soviet Union", "50", "27", "22", "99" ], [ "2", "United States", "33", "31", "30", "94" ], [ "3", "East Germany (GDR)", "20", "23", "23", "66" ], [ "4", "West Germany (FRG)", "13", "11", "16", "40" ], [ "5", "Japan", "13", "8", "8", "29" ], [ "6", "Australia", "8", "7", "2", "17" ], [ "7", "Poland", "7", "5", "9", "21" ], [ "8", "Hungary", "6", "13", "16", "35" ], [ "9", "Bulgaria", "6", "10", "5", "21" ], [ "10", "Italy", "5", "3", "10", "18" ] ]
[ "Hungary" ]
of those countries that won 6 gold medals, which is not bulgaria? || of those countries, which won 6 gold medals? | which countries won gold medals in sports in munich?
nt-4556
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
table_csv/204_107.csv
0
{ "column_index": [ 5 ], "row_index": [ 8 ] }
[ "does sweden or russia have more medals?" ]
0
2
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
does sweden or russia have more medals?
[ [ "1", "Netherlands", "20", "9", "0", "29" ], [ "2", "Italy", "10", "15", "3", "28" ], [ "3", "Belgium", "1", "2", "6", "9" ], [ "4", "Spain", "1", "1", "13", "15" ], [ "5", "Great Britain", "0", "2", "0", "2" ], [ "6", "Germany", "0", "1", "7", "8" ], [ "7", "Greece", "0", "1", "0", "1" ], [ "7", "Russia", "0", "1", "0", "1" ], [ "9", "Sweden", "0", "0", "2", "2" ], [ "10", "France", "0", "0", "1", "1" ] ]
[ "2" ]
does sweden or russia have more medals? ||
nt-4556
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
table_csv/204_107.csv
1
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "does sweden or russia have more medals?", "who is ranked lower sweden or russia?" ]
0
sweden
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
who is ranked lower sweden or russia?
[ [ "1", "Netherlands", "20", "9", "0", "29" ], [ "2", "Italy", "10", "15", "3", "28" ], [ "3", "Belgium", "1", "2", "6", "9" ], [ "4", "Spain", "1", "1", "13", "15" ], [ "5", "Great Britain", "0", "2", "0", "2" ], [ "6", "Germany", "0", "1", "7", "8" ], [ "7", "Greece", "0", "1", "0", "1" ], [ "7", "Russia", "0", "1", "0", "1" ], [ "9", "Sweden", "0", "0", "2", "2" ], [ "10", "France", "0", "0", "1", "1" ] ]
[ "Sweden" ]
who is ranked lower sweden or russia? || does sweden or russia have more medals?
nt-4556
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
table_csv/204_107.csv
0
{ "column_index": [ 5 ], "row_index": [ 8 ] }
[ "how many medals does sweden have?" ]
1
2
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many medals does sweden have?
[ [ "1", "Netherlands", "20", "9", "0", "29" ], [ "2", "Italy", "10", "15", "3", "28" ], [ "3", "Belgium", "1", "2", "6", "9" ], [ "4", "Spain", "1", "1", "13", "15" ], [ "5", "Great Britain", "0", "2", "0", "2" ], [ "6", "Germany", "0", "1", "7", "8" ], [ "7", "Greece", "0", "1", "0", "1" ], [ "7", "Russia", "0", "1", "0", "1" ], [ "9", "Sweden", "0", "0", "2", "2" ], [ "10", "France", "0", "0", "1", "1" ] ]
[ "2" ]
how many medals does sweden have? ||
nt-4556
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
table_csv/204_107.csv
1
{ "column_index": [ 5 ], "row_index": [ 7 ] }
[ "how many medals does sweden have?", "how many medals does russia have?" ]
1
1
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many medals does russia have?
[ [ "1", "Netherlands", "20", "9", "0", "29" ], [ "2", "Italy", "10", "15", "3", "28" ], [ "3", "Belgium", "1", "2", "6", "9" ], [ "4", "Spain", "1", "1", "13", "15" ], [ "5", "Great Britain", "0", "2", "0", "2" ], [ "6", "Germany", "0", "1", "7", "8" ], [ "7", "Greece", "0", "1", "0", "1" ], [ "7", "Russia", "0", "1", "0", "1" ], [ "9", "Sweden", "0", "0", "2", "2" ], [ "10", "France", "0", "0", "1", "1" ] ]
[ "1" ]
how many medals does russia have? || how many medals does sweden have?
nt-4556
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
table_csv/204_107.csv
2
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "how many medals does sweden have?", "how many medals does russia have?", "between russia and sweden, which has more medals?" ]
1
sweden
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
between russia and sweden, which has more medals?
[ [ "1", "Netherlands", "20", "9", "0", "29" ], [ "2", "Italy", "10", "15", "3", "28" ], [ "3", "Belgium", "1", "2", "6", "9" ], [ "4", "Spain", "1", "1", "13", "15" ], [ "5", "Great Britain", "0", "2", "0", "2" ], [ "6", "Germany", "0", "1", "7", "8" ], [ "7", "Greece", "0", "1", "0", "1" ], [ "7", "Russia", "0", "1", "0", "1" ], [ "9", "Sweden", "0", "0", "2", "2" ], [ "10", "France", "0", "0", "1", "1" ] ]
[ "Sweden" ]
between russia and sweden, which has more medals? || how many medals does russia have? | how many medals does sweden have?
nt-4556
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
table_csv/204_107.csv
0
{ "column_index": [ 1, 1, 1, 1 ], "row_index": [ 6, 7, 8, 9 ] }
[ "which countries are ranked 7th or lower?" ]
2
greece, russia, sweden, france
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries are ranked 7th or lower?
[ [ "1", "Netherlands", "20", "9", "0", "29" ], [ "2", "Italy", "10", "15", "3", "28" ], [ "3", "Belgium", "1", "2", "6", "9" ], [ "4", "Spain", "1", "1", "13", "15" ], [ "5", "Great Britain", "0", "2", "0", "2" ], [ "6", "Germany", "0", "1", "7", "8" ], [ "7", "Greece", "0", "1", "0", "1" ], [ "7", "Russia", "0", "1", "0", "1" ], [ "9", "Sweden", "0", "0", "2", "2" ], [ "10", "France", "0", "0", "1", "1" ] ]
[ "Greece", "Russia", "Sweden", "France" ]
which countries are ranked 7th or lower? ||
nt-4556
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
table_csv/204_107.csv
1
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "which countries are ranked 7th or lower?", "of these, which country has the most medals?" ]
2
sweden
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of these, which country has the most medals?
[ [ "1", "Netherlands", "20", "9", "0", "29" ], [ "2", "Italy", "10", "15", "3", "28" ], [ "3", "Belgium", "1", "2", "6", "9" ], [ "4", "Spain", "1", "1", "13", "15" ], [ "5", "Great Britain", "0", "2", "0", "2" ], [ "6", "Germany", "0", "1", "7", "8" ], [ "7", "Greece", "0", "1", "0", "1" ], [ "7", "Russia", "0", "1", "0", "1" ], [ "9", "Sweden", "0", "0", "2", "2" ], [ "10", "France", "0", "0", "1", "1" ] ]
[ "Sweden" ]
of these, which country has the most medals? || which countries are ranked 7th or lower?
nt-4556
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
table_csv/204_107.csv
2
{ "column_index": [ 0, 0 ], "row_index": [ 7, 8 ] }
[ "which countries are ranked 7th or lower?", "of these, which country has the most medals?", "what are the ranks of russia and sweden?" ]
2
7, 9
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what are the ranks of russia and sweden?
[ [ "1", "Netherlands", "20", "9", "0", "29" ], [ "2", "Italy", "10", "15", "3", "28" ], [ "3", "Belgium", "1", "2", "6", "9" ], [ "4", "Spain", "1", "1", "13", "15" ], [ "5", "Great Britain", "0", "2", "0", "2" ], [ "6", "Germany", "0", "1", "7", "8" ], [ "7", "Greece", "0", "1", "0", "1" ], [ "7", "Russia", "0", "1", "0", "1" ], [ "9", "Sweden", "0", "0", "2", "2" ], [ "10", "France", "0", "0", "1", "1" ] ]
[ "7", "9" ]
what are the ranks of russia and sweden? || of these, which country has the most medals? | which countries are ranked 7th or lower?
nt-4556
col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1
table_csv/204_107.csv
3
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "which countries are ranked 7th or lower?", "of these, which country has the most medals?", "what are the ranks of russia and sweden?", "which of these countries has the lower rank?" ]
2
sweden
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which of these countries has the lower rank?
[ [ "1", "Netherlands", "20", "9", "0", "29" ], [ "2", "Italy", "10", "15", "3", "28" ], [ "3", "Belgium", "1", "2", "6", "9" ], [ "4", "Spain", "1", "1", "13", "15" ], [ "5", "Great Britain", "0", "2", "0", "2" ], [ "6", "Germany", "0", "1", "7", "8" ], [ "7", "Greece", "0", "1", "0", "1" ], [ "7", "Russia", "0", "1", "0", "1" ], [ "9", "Sweden", "0", "0", "2", "2" ], [ "10", "France", "0", "0", "1", "1" ] ]
[ "Sweden" ]
which of these countries has the lower rank? || what are the ranks of russia and sweden? | of these, which country has the most medals? | which countries are ranked 7th or lower?
nt-1392
col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselburgh | edinburgh row 3 : 3 | aberdeen | 197,328 | 60.94 | 3,238 | aberdeen, cove bay, dyce | aberdeen row 4 : 4 | dundee | 154,674 | 67.0 | 3,298 | dundee | dundee row 5 : 5 | falkirk | 91,402 | 36.1 | 2,532 | falkirk, grangemouth, carron, polmont, | falkirk row 6 : 6 | east kilbride | 73,796 | 24.12 | 3,060 | east kilbride | glasgow row 7 : 7 | greenock | 73,595 | 20.69 | 3,557 | greenock, gourock, port glasgow | glasgow row 8 : 8 | blantyre/hamilton | 65,874 | 22.63 | 2,911 | blantyre, hamilton | glasgow row 9 : 9 | ayr/prestwick | 61,365 | 23.57 | 2,604 | ayr, prestwick | ayr row 10 : 10 | livingston | 59,511 | 26.07 | 2,283 | livingston, east calder, mid calder | edinburgh
table_csv/203_74.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are the names of each urban area in the united kingdom?" ]
0
greater glasgow, edinburgh, aberdeen, dundee, falkirk, east kilbride, greenock, blantyre/hamilton, ayr/prestwick, livingston
[ "Rank", "Urban Area", "Population (2001 Census)", "Area (km2)", "Density (People/km2)", "Major subdivisions", "Metropolitan Area" ]
what are the names of each urban area in the united kingdom?
[ [ "1", "Greater Glasgow", "1,168,270", "368.47", "3,171.0", "Glasgow, Paisley, Coatbridge, Clydebank, Mother", "Glasgow" ], [ "2", "Edinburgh", "452,194", "120.11", "3,765.0", "Edinburgh, Musselburgh", "Edinburgh" ], [ "3", "Aberdeen", "197,328", "60.94", "3,238", "Aberdeen, Cove Bay, Dyce", "Aberdeen" ], [ "4", "Dundee", "154,674", "67.0", "3,298", "Dundee", "Dundee" ], [ "5", "Falkirk", "91,402", "36.1", "2,532", "Falkirk, Grangemouth, Carron, Polmont,", "Falkirk" ], [ "6", "East Kilbride", "73,796", "24.12", "3,060", "East Kilbride", "Glasgow" ], [ "7", "Greenock", "73,595", "20.69", "3,557", "Greenock, Gourock, Port Glasgow", "Glasgow" ], [ "8", "Blantyre/Hamilton", "65,874", "22.63", "2,911", "Blantyre, Hamilton", "Glasgow" ], [ "9", "Ayr/Prestwick", "61,365", "23.57", "2,604", "Ayr, Prestwick", "Ayr" ], [ "10", "Livingston", "59,511", "26.07", "2,283", "Livingston, East Calder, Mid Calder", "Edinburgh" ] ]
[ "Greater Glasgow", "Edinburgh", "Aberdeen", "Dundee", "Falkirk", "East Kilbride", "Greenock", "Blantyre/Hamilton", "Ayr/Prestwick", "Livingston" ]
what are the names of each urban area in the united kingdom? ||
nt-1392
col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselburgh | edinburgh row 3 : 3 | aberdeen | 197,328 | 60.94 | 3,238 | aberdeen, cove bay, dyce | aberdeen row 4 : 4 | dundee | 154,674 | 67.0 | 3,298 | dundee | dundee row 5 : 5 | falkirk | 91,402 | 36.1 | 2,532 | falkirk, grangemouth, carron, polmont, | falkirk row 6 : 6 | east kilbride | 73,796 | 24.12 | 3,060 | east kilbride | glasgow row 7 : 7 | greenock | 73,595 | 20.69 | 3,557 | greenock, gourock, port glasgow | glasgow row 8 : 8 | blantyre/hamilton | 65,874 | 22.63 | 2,911 | blantyre, hamilton | glasgow row 9 : 9 | ayr/prestwick | 61,365 | 23.57 | 2,604 | ayr, prestwick | ayr row 10 : 10 | livingston | 59,511 | 26.07 | 2,283 | livingston, east calder, mid calder | edinburgh
table_csv/203_74.csv
1
{ "column_index": [ 1 ], "row_index": [ 9 ] }
[ "what are the names of each urban area in the united kingdom?", "of those, which has the smallest population density?" ]
0
livingston
[ "Rank", "Urban Area", "Population (2001 Census)", "Area (km2)", "Density (People/km2)", "Major subdivisions", "Metropolitan Area" ]
of those, which has the smallest population density?
[ [ "1", "Greater Glasgow", "1,168,270", "368.47", "3,171.0", "Glasgow, Paisley, Coatbridge, Clydebank, Mother", "Glasgow" ], [ "2", "Edinburgh", "452,194", "120.11", "3,765.0", "Edinburgh, Musselburgh", "Edinburgh" ], [ "3", "Aberdeen", "197,328", "60.94", "3,238", "Aberdeen, Cove Bay, Dyce", "Aberdeen" ], [ "4", "Dundee", "154,674", "67.0", "3,298", "Dundee", "Dundee" ], [ "5", "Falkirk", "91,402", "36.1", "2,532", "Falkirk, Grangemouth, Carron, Polmont,", "Falkirk" ], [ "6", "East Kilbride", "73,796", "24.12", "3,060", "East Kilbride", "Glasgow" ], [ "7", "Greenock", "73,595", "20.69", "3,557", "Greenock, Gourock, Port Glasgow", "Glasgow" ], [ "8", "Blantyre/Hamilton", "65,874", "22.63", "2,911", "Blantyre, Hamilton", "Glasgow" ], [ "9", "Ayr/Prestwick", "61,365", "23.57", "2,604", "Ayr, Prestwick", "Ayr" ], [ "10", "Livingston", "59,511", "26.07", "2,283", "Livingston, East Calder, Mid Calder", "Edinburgh" ] ]
[ "Livingston" ]
of those, which has the smallest population density? || what are the names of each urban area in the united kingdom?
nt-1392
col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselburgh | edinburgh row 3 : 3 | aberdeen | 197,328 | 60.94 | 3,238 | aberdeen, cove bay, dyce | aberdeen row 4 : 4 | dundee | 154,674 | 67.0 | 3,298 | dundee | dundee row 5 : 5 | falkirk | 91,402 | 36.1 | 2,532 | falkirk, grangemouth, carron, polmont, | falkirk row 6 : 6 | east kilbride | 73,796 | 24.12 | 3,060 | east kilbride | glasgow row 7 : 7 | greenock | 73,595 | 20.69 | 3,557 | greenock, gourock, port glasgow | glasgow row 8 : 8 | blantyre/hamilton | 65,874 | 22.63 | 2,911 | blantyre, hamilton | glasgow row 9 : 9 | ayr/prestwick | 61,365 | 23.57 | 2,604 | ayr, prestwick | ayr row 10 : 10 | livingston | 59,511 | 26.07 | 2,283 | livingston, east calder, mid calder | edinburgh
table_csv/203_74.csv
0
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what were all the population density's of the different urban areas per square km?" ]
1
3,171.0, 3,765.0, 3,238, 3,298, 2,532, 3,060, 3,557, 2,911, 2,604, 2,283
[ "Rank", "Urban Area", "Population (2001 Census)", "Area (km2)", "Density (People/km2)", "Major subdivisions", "Metropolitan Area" ]
what were all the population density's of the different urban areas per square km?
[ [ "1", "Greater Glasgow", "1,168,270", "368.47", "3,171.0", "Glasgow, Paisley, Coatbridge, Clydebank, Mother", "Glasgow" ], [ "2", "Edinburgh", "452,194", "120.11", "3,765.0", "Edinburgh, Musselburgh", "Edinburgh" ], [ "3", "Aberdeen", "197,328", "60.94", "3,238", "Aberdeen, Cove Bay, Dyce", "Aberdeen" ], [ "4", "Dundee", "154,674", "67.0", "3,298", "Dundee", "Dundee" ], [ "5", "Falkirk", "91,402", "36.1", "2,532", "Falkirk, Grangemouth, Carron, Polmont,", "Falkirk" ], [ "6", "East Kilbride", "73,796", "24.12", "3,060", "East Kilbride", "Glasgow" ], [ "7", "Greenock", "73,595", "20.69", "3,557", "Greenock, Gourock, Port Glasgow", "Glasgow" ], [ "8", "Blantyre/Hamilton", "65,874", "22.63", "2,911", "Blantyre, Hamilton", "Glasgow" ], [ "9", "Ayr/Prestwick", "61,365", "23.57", "2,604", "Ayr, Prestwick", "Ayr" ], [ "10", "Livingston", "59,511", "26.07", "2,283", "Livingston, East Calder, Mid Calder", "Edinburgh" ] ]
[ "3,171.0", "3,765.0", "3,238", "3,298", "2,532", "3,060", "3,557", "2,911", "2,604", "2,283" ]
what were all the population density's of the different urban areas per square km? ||
nt-1392
col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselburgh | edinburgh row 3 : 3 | aberdeen | 197,328 | 60.94 | 3,238 | aberdeen, cove bay, dyce | aberdeen row 4 : 4 | dundee | 154,674 | 67.0 | 3,298 | dundee | dundee row 5 : 5 | falkirk | 91,402 | 36.1 | 2,532 | falkirk, grangemouth, carron, polmont, | falkirk row 6 : 6 | east kilbride | 73,796 | 24.12 | 3,060 | east kilbride | glasgow row 7 : 7 | greenock | 73,595 | 20.69 | 3,557 | greenock, gourock, port glasgow | glasgow row 8 : 8 | blantyre/hamilton | 65,874 | 22.63 | 2,911 | blantyre, hamilton | glasgow row 9 : 9 | ayr/prestwick | 61,365 | 23.57 | 2,604 | ayr, prestwick | ayr row 10 : 10 | livingston | 59,511 | 26.07 | 2,283 | livingston, east calder, mid calder | edinburgh
table_csv/203_74.csv
1
{ "column_index": [ 4 ], "row_index": [ 9 ] }
[ "what were all the population density's of the different urban areas per square km?", "what was the lowest population density?" ]
1
2,283
[ "Rank", "Urban Area", "Population (2001 Census)", "Area (km2)", "Density (People/km2)", "Major subdivisions", "Metropolitan Area" ]
what was the lowest population density?
[ [ "1", "Greater Glasgow", "1,168,270", "368.47", "3,171.0", "Glasgow, Paisley, Coatbridge, Clydebank, Mother", "Glasgow" ], [ "2", "Edinburgh", "452,194", "120.11", "3,765.0", "Edinburgh, Musselburgh", "Edinburgh" ], [ "3", "Aberdeen", "197,328", "60.94", "3,238", "Aberdeen, Cove Bay, Dyce", "Aberdeen" ], [ "4", "Dundee", "154,674", "67.0", "3,298", "Dundee", "Dundee" ], [ "5", "Falkirk", "91,402", "36.1", "2,532", "Falkirk, Grangemouth, Carron, Polmont,", "Falkirk" ], [ "6", "East Kilbride", "73,796", "24.12", "3,060", "East Kilbride", "Glasgow" ], [ "7", "Greenock", "73,595", "20.69", "3,557", "Greenock, Gourock, Port Glasgow", "Glasgow" ], [ "8", "Blantyre/Hamilton", "65,874", "22.63", "2,911", "Blantyre, Hamilton", "Glasgow" ], [ "9", "Ayr/Prestwick", "61,365", "23.57", "2,604", "Ayr, Prestwick", "Ayr" ], [ "10", "Livingston", "59,511", "26.07", "2,283", "Livingston, East Calder, Mid Calder", "Edinburgh" ] ]
[ "2,283" ]
what was the lowest population density? || what were all the population density's of the different urban areas per square km?
nt-1392
col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselburgh | edinburgh row 3 : 3 | aberdeen | 197,328 | 60.94 | 3,238 | aberdeen, cove bay, dyce | aberdeen row 4 : 4 | dundee | 154,674 | 67.0 | 3,298 | dundee | dundee row 5 : 5 | falkirk | 91,402 | 36.1 | 2,532 | falkirk, grangemouth, carron, polmont, | falkirk row 6 : 6 | east kilbride | 73,796 | 24.12 | 3,060 | east kilbride | glasgow row 7 : 7 | greenock | 73,595 | 20.69 | 3,557 | greenock, gourock, port glasgow | glasgow row 8 : 8 | blantyre/hamilton | 65,874 | 22.63 | 2,911 | blantyre, hamilton | glasgow row 9 : 9 | ayr/prestwick | 61,365 | 23.57 | 2,604 | ayr, prestwick | ayr row 10 : 10 | livingston | 59,511 | 26.07 | 2,283 | livingston, east calder, mid calder | edinburgh
table_csv/203_74.csv
2
{ "column_index": [ 1 ], "row_index": [ 9 ] }
[ "what were all the population density's of the different urban areas per square km?", "what was the lowest population density?", "what city was this population density for?" ]
1
livingston
[ "Rank", "Urban Area", "Population (2001 Census)", "Area (km2)", "Density (People/km2)", "Major subdivisions", "Metropolitan Area" ]
what city was this population density for?
[ [ "1", "Greater Glasgow", "1,168,270", "368.47", "3,171.0", "Glasgow, Paisley, Coatbridge, Clydebank, Mother", "Glasgow" ], [ "2", "Edinburgh", "452,194", "120.11", "3,765.0", "Edinburgh, Musselburgh", "Edinburgh" ], [ "3", "Aberdeen", "197,328", "60.94", "3,238", "Aberdeen, Cove Bay, Dyce", "Aberdeen" ], [ "4", "Dundee", "154,674", "67.0", "3,298", "Dundee", "Dundee" ], [ "5", "Falkirk", "91,402", "36.1", "2,532", "Falkirk, Grangemouth, Carron, Polmont,", "Falkirk" ], [ "6", "East Kilbride", "73,796", "24.12", "3,060", "East Kilbride", "Glasgow" ], [ "7", "Greenock", "73,595", "20.69", "3,557", "Greenock, Gourock, Port Glasgow", "Glasgow" ], [ "8", "Blantyre/Hamilton", "65,874", "22.63", "2,911", "Blantyre, Hamilton", "Glasgow" ], [ "9", "Ayr/Prestwick", "61,365", "23.57", "2,604", "Ayr, Prestwick", "Ayr" ], [ "10", "Livingston", "59,511", "26.07", "2,283", "Livingston, East Calder, Mid Calder", "Edinburgh" ] ]
[ "Livingston" ]
what city was this population density for? || what was the lowest population density? | what were all the population density's of the different urban areas per square km?
nt-1392
col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselburgh | edinburgh row 3 : 3 | aberdeen | 197,328 | 60.94 | 3,238 | aberdeen, cove bay, dyce | aberdeen row 4 : 4 | dundee | 154,674 | 67.0 | 3,298 | dundee | dundee row 5 : 5 | falkirk | 91,402 | 36.1 | 2,532 | falkirk, grangemouth, carron, polmont, | falkirk row 6 : 6 | east kilbride | 73,796 | 24.12 | 3,060 | east kilbride | glasgow row 7 : 7 | greenock | 73,595 | 20.69 | 3,557 | greenock, gourock, port glasgow | glasgow row 8 : 8 | blantyre/hamilton | 65,874 | 22.63 | 2,911 | blantyre, hamilton | glasgow row 9 : 9 | ayr/prestwick | 61,365 | 23.57 | 2,604 | ayr, prestwick | ayr row 10 : 10 | livingston | 59,511 | 26.07 | 2,283 | livingston, east calder, mid calder | edinburgh
table_csv/203_74.csv
0
{ "column_index": [ 3 ], "row_index": [ 9 ] }
[ "in the uk, what is the least amount of people listed in a city per square km?" ]
2
26.07
[ "Rank", "Urban Area", "Population (2001 Census)", "Area (km2)", "Density (People/km2)", "Major subdivisions", "Metropolitan Area" ]
in the uk, what is the least amount of people listed in a city per square km?
[ [ "1", "Greater Glasgow", "1,168,270", "368.47", "3,171.0", "Glasgow, Paisley, Coatbridge, Clydebank, Mother", "Glasgow" ], [ "2", "Edinburgh", "452,194", "120.11", "3,765.0", "Edinburgh, Musselburgh", "Edinburgh" ], [ "3", "Aberdeen", "197,328", "60.94", "3,238", "Aberdeen, Cove Bay, Dyce", "Aberdeen" ], [ "4", "Dundee", "154,674", "67.0", "3,298", "Dundee", "Dundee" ], [ "5", "Falkirk", "91,402", "36.1", "2,532", "Falkirk, Grangemouth, Carron, Polmont,", "Falkirk" ], [ "6", "East Kilbride", "73,796", "24.12", "3,060", "East Kilbride", "Glasgow" ], [ "7", "Greenock", "73,595", "20.69", "3,557", "Greenock, Gourock, Port Glasgow", "Glasgow" ], [ "8", "Blantyre/Hamilton", "65,874", "22.63", "2,911", "Blantyre, Hamilton", "Glasgow" ], [ "9", "Ayr/Prestwick", "61,365", "23.57", "2,604", "Ayr, Prestwick", "Ayr" ], [ "10", "Livingston", "59,511", "26.07", "2,283", "Livingston, East Calder, Mid Calder", "Edinburgh" ] ]
[ "26.07" ]
in the uk, what is the least amount of people listed in a city per square km? ||
nt-1392
col : rank | urban area | population (2001 census) | area (km2) | density (people/km2) | major subdivisions | metropolitan area row 1 : 1 | greater glasgow | 1,168,270 | 368.47 | 3,171.0 | glasgow, paisley, coatbridge, clydebank, mother | glasgow row 2 : 2 | edinburgh | 452,194 | 120.11 | 3,765.0 | edinburgh, musselburgh | edinburgh row 3 : 3 | aberdeen | 197,328 | 60.94 | 3,238 | aberdeen, cove bay, dyce | aberdeen row 4 : 4 | dundee | 154,674 | 67.0 | 3,298 | dundee | dundee row 5 : 5 | falkirk | 91,402 | 36.1 | 2,532 | falkirk, grangemouth, carron, polmont, | falkirk row 6 : 6 | east kilbride | 73,796 | 24.12 | 3,060 | east kilbride | glasgow row 7 : 7 | greenock | 73,595 | 20.69 | 3,557 | greenock, gourock, port glasgow | glasgow row 8 : 8 | blantyre/hamilton | 65,874 | 22.63 | 2,911 | blantyre, hamilton | glasgow row 9 : 9 | ayr/prestwick | 61,365 | 23.57 | 2,604 | ayr, prestwick | ayr row 10 : 10 | livingston | 59,511 | 26.07 | 2,283 | livingston, east calder, mid calder | edinburgh
table_csv/203_74.csv
1
{ "column_index": [ 1 ], "row_index": [ 9 ] }
[ "in the uk, what is the least amount of people listed in a city per square km?", "what city has 26.07 people per square km?" ]
2
livingston
[ "Rank", "Urban Area", "Population (2001 Census)", "Area (km2)", "Density (People/km2)", "Major subdivisions", "Metropolitan Area" ]
what city has 26.07 people per square km?
[ [ "1", "Greater Glasgow", "1,168,270", "368.47", "3,171.0", "Glasgow, Paisley, Coatbridge, Clydebank, Mother", "Glasgow" ], [ "2", "Edinburgh", "452,194", "120.11", "3,765.0", "Edinburgh, Musselburgh", "Edinburgh" ], [ "3", "Aberdeen", "197,328", "60.94", "3,238", "Aberdeen, Cove Bay, Dyce", "Aberdeen" ], [ "4", "Dundee", "154,674", "67.0", "3,298", "Dundee", "Dundee" ], [ "5", "Falkirk", "91,402", "36.1", "2,532", "Falkirk, Grangemouth, Carron, Polmont,", "Falkirk" ], [ "6", "East Kilbride", "73,796", "24.12", "3,060", "East Kilbride", "Glasgow" ], [ "7", "Greenock", "73,595", "20.69", "3,557", "Greenock, Gourock, Port Glasgow", "Glasgow" ], [ "8", "Blantyre/Hamilton", "65,874", "22.63", "2,911", "Blantyre, Hamilton", "Glasgow" ], [ "9", "Ayr/Prestwick", "61,365", "23.57", "2,604", "Ayr, Prestwick", "Ayr" ], [ "10", "Livingston", "59,511", "26.07", "2,283", "Livingston, East Calder, Mid Calder", "Edinburgh" ] ]
[ "Livingston" ]
what city has 26.07 people per square km? || in the uk, what is the least amount of people listed in a city per square km?
nt-1396
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 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
0
{ "column_index": [ 1 ], "row_index": [ 4 ] }
[ "what city has 12,599 people?" ]
0
dennery
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what city has 12,599 people?
[ [ "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", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Dennery" ]
what city has 12,599 people? ||
nt-1396
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 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
1
{ "column_index": [ 3 ], "row_index": [ 5 ] }
[ "what city has 12,599 people?", "how many people live in forrest reserve?" ]
0
0
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
how many people live in forrest reserve?
[ [ "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", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "0" ]
how many people live in forrest reserve? || what city has 12,599 people?
nt-1396
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 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
2
{ "column_index": [ 3 ], "row_index": [ 4 ] }
[ "what city has 12,599 people?", "how many people live in forrest reserve?", "what is the difference in population between the two places?" ]
0
12,599
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what is the difference in population between the two places?
[ [ "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", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "12,599" ]
what is the difference in population between the two places? || how many people live in forrest reserve? | what city has 12,599 people?
nt-1396
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 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
0
{ "column_index": [ 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 ] }
[ "what are all the populations listed" ]
1
6,247, 2,044, 65,656, 6,098, 12,599, 0, 25,210, 6,701, 16,284, 8,472, 16,284, 165,595
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what are all the populations listed
[ [ "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", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "6,247", "2,044", "65,656", "6,098", "12,599", "0", "25,210", "6,701", "16,284", "8,472", "16,284", "165,595" ]
what are all the populations listed ||
nt-1396
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 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
1
{ "column_index": [ 3, 3 ], "row_index": [ 4, 5 ] }
[ "what are all the populations listed", "what are the populations for the forest reserve and dennery?" ]
1
12,599, 0
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what are the populations for the forest reserve and dennery?
[ [ "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", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "12,599", "0" ]
what are the populations for the forest reserve and dennery? || what are all the populations listed
nt-1396
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 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
2
{ "column_index": [ 3 ], "row_index": [ 4 ] }
[ "what are all the populations listed", "what are the populations for the forest reserve and dennery?", "what is the difference in these amounts?" ]
1
12,599
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what is the difference in these amounts?
[ [ "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", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "12,599" ]
what is the difference in these amounts? || what are the populations for the forest reserve and dennery? | what are all the populations listed
nt-1396
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 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
0
{ "column_index": [ 3 ], "row_index": [ 5 ] }
[ "what is the population of the forest reserve?" ]
2
0
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what is the population of the forest reserve?
[ [ "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", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "0" ]
what is the population of the forest reserve? ||
nt-1396
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 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
1
{ "column_index": [ 3 ], "row_index": [ 4 ] }
[ "what is the population of the forest reserve?", "how many more people live in the dennery?" ]
2
12,599
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
how many more people live in the dennery?
[ [ "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", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "12,599" ]
how many more people live in the dennery? || what is the population of the forest reserve?
nt-5558
col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 2 | friday, 8 april 7:40pm | 26.19 (175) | essendon | 11.10 (76) | won by 99 points | waca ground | 24,886 | john gastev | west coast row 3 : 3 | sunday, 17 april 2:10pm | 29.18 (192) | brisbane bears | 10.14 (74) | won by 118 points | waca ground | 16,354 | chris mainwaring | west coast row 4 : 4 | saturday, 23 april 2:10pm | 8.7 (55) | collingwood | 13.16 (94) | lost by 87 points | victoria park | 26,276 | james manson | collingwood row 5 : 5 | friday, 29 april 7:40pm | 14.16 (100) | footscray | 14.9 (93) | won by 7 points | waca ground | 17,662 | ross glendinning | west coast row 6 : 6 | friday, 6 may 7:40pm | 17.8 (110) | north melbourne | 17.23 (123) | lost by 13 points | melbourne cricket ground | 10,133 | donald mcdonald | north melbourne row 7 : 7 | friday, 13 may 7:40pm | 17.10 (112) | st kilda | 3.18 (36) | won by 76 points | waca ground | 12,803 | alex ishchenko | west coast row 8 : 8 | sunday, 22 may 2:10pm | 9.9 (63) | hawthorn | 17.14 (116) | lost by 53 points | subiaco oval | 27,344 | chris wittman | hawthorn row 9 : 9 | sunday, 29 may 2:10pm | 12.15 (87) | carlton | 15.10 (100) | lost by 13 points | subiaco oval | 27,663 | ken hunter | carlton row 10 : 10 | sunday, 5 june 2:10pm | 10.15 (75) | richmond | 16.20 (116) | lost by 41 points | melbourne cricket ground | 7,157 | peter wilson | richmond row 11 : 11 | monday, 13 june 2:10pm | 10.13 (73) | melbourne | 13.15 (93) | lost by 20 points | melbourne cricket ground | 28,045 | alan johnson | melbourne row 12 : 13 | sunday, 26 june 2:10pm | 17.19 (121) | fitzroy | 13.9 (87) | won by 34 points | subiaco oval | 15,028 | wally matera | west coast row 13 : 15 | sunday, 10 july 2:10pm | 18.18 (126) | geelong | 16.10 (106) | won by 20 points | subiaco oval | 18,537 | chris mainwaring | west coast row 14 : 16 | friday, 15 july 7:40pm | 14.14 (98) | brisbane bears | 12.17 (89) | won by 9 points | waca ground | 16,074 | mark withers | brisbane bears row 15 : 17 | friday, 22 july 7:40pm | 8.16 (64) | fitzroy | 19.20 (134) | lost by 70 points | melbourne cricket ground | 7,611 | john ironmonger | fitzroy row 16 : 18 | sunday, 31 july 2:10pm | 18.14 (122) | melbourne | 11.12 (78) | won by 44 points | subiaco oval | 16,266 | murray rance | west coast row 17 : 20 | saturday, 13 august 2:10pm | 14.13 (97) | st kilda | 13.10 (88) | won by 9 points | moorabbin oval | 11,074 | laurie keene | west coast row 18 : 21 | sunday, 21 august 7:40pm | 16.15 (111) | collingwood | 7.9 (51) | won by 60 points | subiaco oval | 36,638 | karl langdon | west coast row 19 : 22 | sunday, 28 august 2:10pm | 7.11 (53) | footscray | 3.11 (29) | won by 24 points | western oval | 18,456 | chris mainwaring | west coast
table_csv/204_881.csv
0
{ "column_index": [ 1 ], "row_index": [ 22 ] }
[ "on what date were there over 40,000 in attendance?" ]
0
saturday, 3 september 2:10pm
[ "Round", "Date", "Score", "Opponent", "Opponent's Score", "Result", "Venue", "Attendance", "Best on ground", "Team" ]
on what date were there over 40,000 in attendance?
[ [ "1", "Saturday, 2 April 2:10pm", "14.20 (104)", "Richmond", "11.17 (83)", "Won by 21 points", "Kardinia Park (stadium)", "20,781", "Alex Ishchenko", "West Coast" ], [ "2", "Friday, 8 April 7:40pm", "26.19 (175)", "Essendon", "11.10 (76)", "Won by 99 points", "WACA Ground", "24,886", "John Gastev", "West Coast" ], [ "3", "Sunday, 17 April 2:10pm", "29.18 (192)", "Brisbane Bears", "10.14 (74)", "Won by 118 points", "WACA Ground", "16,354", "Chris Mainwaring", "West Coast" ], [ "4", "Saturday, 23 April 2:10pm", "8.7 (55)", "Collingwood", "13.16 (94)", "Lost by 87 points", "Victoria Park", "26,276", "James Manson", "Collingwood" ], [ "5", "Friday, 29 April 7:40pm", "14.16 (100)", "Footscray", "14.9 (93)", "Won by 7 points", "WACA Ground", "17,662", "Ross Glendinning", "West Coast" ], [ "6", "Friday, 6 May 7:40pm", "17.8 (110)", "North Melbourne", "17.23 (123)", "Lost by 13 points", "Melbourne Cricket Ground", "10,133", "Donald McDonald", "North Melbourne" ], [ "7", "Friday, 13 May 7:40pm", "17.10 (112)", "St Kilda", "3.18 (36)", "Won by 76 points", "WACA Ground", "12,803", "Alex Ishchenko", "West Coast" ], [ "8", "Sunday, 22 May 2:10pm", "9.9 (63)", "Hawthorn", "17.14 (116)", "Lost by 53 points", "Subiaco Oval", "27,344", "Chris Wittman", "Hawthorn" ], [ "9", "Sunday, 29 May 2:10pm", "12.15 (87)", "Carlton", "15.10 (100)", "Lost by 13 points", "Subiaco Oval", "27,663", "Ken Hunter", "Carlton" ], [ "10", "Sunday, 5 June 2:10pm", "10.15 (75)", "Richmond", "16.20 (116)", "Lost by 41 points", "Melbourne Cricket Ground", "7,157", "Peter Wilson", "Richmond" ], [ "11", "Monday, 13 June 2:10pm", "10.13 (73)", "Melbourne", "13.15 (93)", "Lost by 20 points", "Melbourne Cricket Ground", "28,045", "Alan Johnson", "Melbourne" ], [ "13", "Sunday, 26 June 2:10pm", "17.19 (121)", "Fitzroy", "13.9 (87)", "Won by 34 points", "Subiaco Oval", "15,028", "Wally Matera", "West Coast" ], [ "15", "Sunday, 10 July 2:10pm", "18.18 (126)", "Geelong", "16.10 (106)", "Won by 20 points", "Subiaco Oval", "18,537", "Chris Mainwaring", "West Coast" ], [ "16", "Friday, 15 July 7:40pm", "14.14 (98)", "Brisbane Bears", "12.17 (89)", "Won by 9 points", "WACA Ground", "16,074", "Mark Withers", "Brisbane Bears" ], [ "17", "Friday, 22 July 7:40pm", "8.16 (64)", "Fitzroy", "19.20 (134)", "Lost by 70 points", "Melbourne Cricket Ground", "7,611", "John Ironmonger", "Fitzroy" ], [ "18", "Sunday, 31 July 2:10pm", "18.14 (122)", "Melbourne", "11.12 (78)", "Won by 44 points", "Subiaco Oval", "16,266", "Murray Rance", "West Coast" ], [ "20", "Saturday, 13 August 2:10pm", "14.13 (97)", "St Kilda", "13.10 (88)", "Won by 9 points", "Moorabbin Oval", "11,074", "Laurie Keene", "West Coast" ], [ "21", "Sunday, 21 August 7:40pm", "16.15 (111)", "Collingwood", "7.9 (51)", "Won by 60 points", "Subiaco Oval", "36,638", "Karl Langdon", "West Coast" ], [ "22", "Sunday, 28 August 2:10pm", "7.11 (53)", "Footscray", "3.11 (29)", "Won by 24 points", "Western Oval", "18,456", "Chris Mainwaring", "West Coast" ] ]
[ "Saturday, 3 September 2:10pm" ]
on what date were there over 40,000 in attendance? ||
nt-5558
col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 3 | sunday, 17 april 2:10pm | 29.18 (192) | brisbane bears | 10.14 (74) | won by 118 points | waca ground | 16,354 | chris mainwaring | west coast row 3 : 4 | saturday, 23 april 2:10pm | 8.7 (55) | collingwood | 13.16 (94) | lost by 87 points | victoria park | 26,276 | james manson | collingwood row 4 : 5 | friday, 29 april 7:40pm | 14.16 (100) | footscray | 14.9 (93) | won by 7 points | waca ground | 17,662 | ross glendinning | west coast row 5 : 6 | friday, 6 may 7:40pm | 17.8 (110) | north melbourne | 17.23 (123) | lost by 13 points | melbourne cricket ground | 10,133 | donald mcdonald | north melbourne row 6 : 7 | friday, 13 may 7:40pm | 17.10 (112) | st kilda | 3.18 (36) | won by 76 points | waca ground | 12,803 | alex ishchenko | west coast row 7 : 9 | sunday, 29 may 2:10pm | 12.15 (87) | carlton | 15.10 (100) | lost by 13 points | subiaco oval | 27,663 | ken hunter | carlton row 8 : 10 | sunday, 5 june 2:10pm | 10.15 (75) | richmond | 16.20 (116) | lost by 41 points | melbourne cricket ground | 7,157 | peter wilson | richmond row 9 : 11 | monday, 13 june 2:10pm | 10.13 (73) | melbourne | 13.15 (93) | lost by 20 points | melbourne cricket ground | 28,045 | alan johnson | melbourne row 10 : 12 | sunday, 19 june 2:10pm | 8.13 (61) | sydney | 14.20 (104) | lost by 43 points | sydney cricket ground | 12,664 | michael parsons | sydney row 11 : 13 | sunday, 26 june 2:10pm | 17.19 (121) | fitzroy | 13.9 (87) | won by 34 points | subiaco oval | 15,028 | wally matera | west coast row 12 : 14 | saturday, 2 july 2:10pm | 13.7 (85) | essendon | 16.16 (112) | lost by 27 points | windy hill | 10,298 | simon madden | essendon row 13 : 15 | sunday, 10 july 2:10pm | 18.18 (126) | geelong | 16.10 (106) | won by 20 points | subiaco oval | 18,537 | chris mainwaring | west coast row 14 : 16 | friday, 15 july 7:40pm | 14.14 (98) | brisbane bears | 12.17 (89) | won by 9 points | waca ground | 16,074 | mark withers | brisbane bears row 15 : 18 | sunday, 31 july 2:10pm | 18.14 (122) | melbourne | 11.12 (78) | won by 44 points | subiaco oval | 16,266 | murray rance | west coast row 16 : 19 | sunday, 7 august 2:10pm | 16.9 (115) | north melbourne | 12.12 (84) | won by 31 points | subiaco oval | 18,193 | guy mckenna | west coast row 17 : 20 | saturday, 13 august 2:10pm | 14.13 (97) | st kilda | 13.10 (88) | won by 9 points | moorabbin oval | 11,074 | laurie keene | west coast row 18 : 21 | sunday, 21 august 7:40pm | 16.15 (111) | collingwood | 7.9 (51) | won by 60 points | subiaco oval | 36,638 | karl langdon | west coast row 19 : 22 | sunday, 28 august 2:10pm | 7.11 (53) | footscray | 3.11 (29) | won by 24 points | western oval | 18,456 | chris mainwaring | west coast
table_csv/204_881.csv
1
{ "column_index": [ 6 ], "row_index": [ 22 ] }
[ "on what date were there over 40,000 in attendance?", "where was this game held?" ]
0
waverley park
[ "Round", "Date", "Score", "Opponent", "Opponent's Score", "Result", "Venue", "Attendance", "Best on ground", "Team" ]
where was this game held?
[ [ "1", "Saturday, 2 April 2:10pm", "14.20 (104)", "Richmond", "11.17 (83)", "Won by 21 points", "Kardinia Park (stadium)", "20,781", "Alex Ishchenko", "West Coast" ], [ "3", "Sunday, 17 April 2:10pm", "29.18 (192)", "Brisbane Bears", "10.14 (74)", "Won by 118 points", "WACA Ground", "16,354", "Chris Mainwaring", "West Coast" ], [ "4", "Saturday, 23 April 2:10pm", "8.7 (55)", "Collingwood", "13.16 (94)", "Lost by 87 points", "Victoria Park", "26,276", "James Manson", "Collingwood" ], [ "5", "Friday, 29 April 7:40pm", "14.16 (100)", "Footscray", "14.9 (93)", "Won by 7 points", "WACA Ground", "17,662", "Ross Glendinning", "West Coast" ], [ "6", "Friday, 6 May 7:40pm", "17.8 (110)", "North Melbourne", "17.23 (123)", "Lost by 13 points", "Melbourne Cricket Ground", "10,133", "Donald McDonald", "North Melbourne" ], [ "7", "Friday, 13 May 7:40pm", "17.10 (112)", "St Kilda", "3.18 (36)", "Won by 76 points", "WACA Ground", "12,803", "Alex Ishchenko", "West Coast" ], [ "9", "Sunday, 29 May 2:10pm", "12.15 (87)", "Carlton", "15.10 (100)", "Lost by 13 points", "Subiaco Oval", "27,663", "Ken Hunter", "Carlton" ], [ "10", "Sunday, 5 June 2:10pm", "10.15 (75)", "Richmond", "16.20 (116)", "Lost by 41 points", "Melbourne Cricket Ground", "7,157", "Peter Wilson", "Richmond" ], [ "11", "Monday, 13 June 2:10pm", "10.13 (73)", "Melbourne", "13.15 (93)", "Lost by 20 points", "Melbourne Cricket Ground", "28,045", "Alan Johnson", "Melbourne" ], [ "12", "Sunday, 19 June 2:10pm", "8.13 (61)", "Sydney", "14.20 (104)", "Lost by 43 points", "Sydney Cricket Ground", "12,664", "Michael Parsons", "Sydney" ], [ "13", "Sunday, 26 June 2:10pm", "17.19 (121)", "Fitzroy", "13.9 (87)", "Won by 34 points", "Subiaco Oval", "15,028", "Wally Matera", "West Coast" ], [ "14", "Saturday, 2 July 2:10pm", "13.7 (85)", "Essendon", "16.16 (112)", "Lost by 27 points", "Windy Hill", "10,298", "Simon Madden", "Essendon" ], [ "15", "Sunday, 10 July 2:10pm", "18.18 (126)", "Geelong", "16.10 (106)", "Won by 20 points", "Subiaco Oval", "18,537", "Chris Mainwaring", "West Coast" ], [ "16", "Friday, 15 July 7:40pm", "14.14 (98)", "Brisbane Bears", "12.17 (89)", "Won by 9 points", "WACA Ground", "16,074", "Mark Withers", "Brisbane Bears" ], [ "18", "Sunday, 31 July 2:10pm", "18.14 (122)", "Melbourne", "11.12 (78)", "Won by 44 points", "Subiaco Oval", "16,266", "Murray Rance", "West Coast" ], [ "19", "Sunday, 7 August 2:10pm", "16.9 (115)", "North Melbourne", "12.12 (84)", "Won by 31 points", "Subiaco Oval", "18,193", "Guy McKenna", "West Coast" ], [ "20", "Saturday, 13 August 2:10pm", "14.13 (97)", "St Kilda", "13.10 (88)", "Won by 9 points", "Moorabbin Oval", "11,074", "Laurie Keene", "West Coast" ], [ "21", "Sunday, 21 August 7:40pm", "16.15 (111)", "Collingwood", "7.9 (51)", "Won by 60 points", "Subiaco Oval", "36,638", "Karl Langdon", "West Coast" ], [ "22", "Sunday, 28 August 2:10pm", "7.11 (53)", "Footscray", "3.11 (29)", "Won by 24 points", "Western Oval", "18,456", "Chris Mainwaring", "West Coast" ] ]
[ "Waverley Park" ]
where was this game held? || on what date were there over 40,000 in attendance?
nt-5558
col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 3 | sunday, 17 april 2:10pm | 29.18 (192) | brisbane bears | 10.14 (74) | won by 118 points | waca ground | 16,354 | chris mainwaring | west coast row 3 : 4 | saturday, 23 april 2:10pm | 8.7 (55) | collingwood | 13.16 (94) | lost by 87 points | victoria park | 26,276 | james manson | collingwood row 4 : 5 | friday, 29 april 7:40pm | 14.16 (100) | footscray | 14.9 (93) | won by 7 points | waca ground | 17,662 | ross glendinning | west coast row 5 : 6 | friday, 6 may 7:40pm | 17.8 (110) | north melbourne | 17.23 (123) | lost by 13 points | melbourne cricket ground | 10,133 | donald mcdonald | north melbourne row 6 : 7 | friday, 13 may 7:40pm | 17.10 (112) | st kilda | 3.18 (36) | won by 76 points | waca ground | 12,803 | alex ishchenko | west coast row 7 : 8 | sunday, 22 may 2:10pm | 9.9 (63) | hawthorn | 17.14 (116) | lost by 53 points | subiaco oval | 27,344 | chris wittman | hawthorn row 8 : 9 | sunday, 29 may 2:10pm | 12.15 (87) | carlton | 15.10 (100) | lost by 13 points | subiaco oval | 27,663 | ken hunter | carlton row 9 : 10 | sunday, 5 june 2:10pm | 10.15 (75) | richmond | 16.20 (116) | lost by 41 points | melbourne cricket ground | 7,157 | peter wilson | richmond row 10 : 11 | monday, 13 june 2:10pm | 10.13 (73) | melbourne | 13.15 (93) | lost by 20 points | melbourne cricket ground | 28,045 | alan johnson | melbourne row 11 : 12 | sunday, 19 june 2:10pm | 8.13 (61) | sydney | 14.20 (104) | lost by 43 points | sydney cricket ground | 12,664 | michael parsons | sydney row 12 : 13 | sunday, 26 june 2:10pm | 17.19 (121) | fitzroy | 13.9 (87) | won by 34 points | subiaco oval | 15,028 | wally matera | west coast row 13 : 15 | sunday, 10 july 2:10pm | 18.18 (126) | geelong | 16.10 (106) | won by 20 points | subiaco oval | 18,537 | chris mainwaring | west coast row 14 : 16 | friday, 15 july 7:40pm | 14.14 (98) | brisbane bears | 12.17 (89) | won by 9 points | waca ground | 16,074 | mark withers | brisbane bears row 15 : 17 | friday, 22 july 7:40pm | 8.16 (64) | fitzroy | 19.20 (134) | lost by 70 points | melbourne cricket ground | 7,611 | john ironmonger | fitzroy row 16 : 18 | sunday, 31 july 2:10pm | 18.14 (122) | melbourne | 11.12 (78) | won by 44 points | subiaco oval | 16,266 | murray rance | west coast row 17 : 19 | sunday, 7 august 2:10pm | 16.9 (115) | north melbourne | 12.12 (84) | won by 31 points | subiaco oval | 18,193 | guy mckenna | west coast row 18 : 20 | saturday, 13 august 2:10pm | 14.13 (97) | st kilda | 13.10 (88) | won by 9 points | moorabbin oval | 11,074 | laurie keene | west coast row 19 : 21 | sunday, 21 august 7:40pm | 16.15 (111) | collingwood | 7.9 (51) | won by 60 points | subiaco oval | 36,638 | karl langdon | west coast
table_csv/204_881.csv
0
{ "column_index": [ 6 ], "row_index": [ 9 ] }
[ "which venue had the least amount in attendance?" ]
1
melbourne cricket ground
[ "Round", "Date", "Score", "Opponent", "Opponent's Score", "Result", "Venue", "Attendance", "Best on ground", "Team" ]
which venue had the least amount in attendance?
[ [ "1", "Saturday, 2 April 2:10pm", "14.20 (104)", "Richmond", "11.17 (83)", "Won by 21 points", "Kardinia Park (stadium)", "20,781", "Alex Ishchenko", "West Coast" ], [ "3", "Sunday, 17 April 2:10pm", "29.18 (192)", "Brisbane Bears", "10.14 (74)", "Won by 118 points", "WACA Ground", "16,354", "Chris Mainwaring", "West Coast" ], [ "4", "Saturday, 23 April 2:10pm", "8.7 (55)", "Collingwood", "13.16 (94)", "Lost by 87 points", "Victoria Park", "26,276", "James Manson", "Collingwood" ], [ "5", "Friday, 29 April 7:40pm", "14.16 (100)", "Footscray", "14.9 (93)", "Won by 7 points", "WACA Ground", "17,662", "Ross Glendinning", "West Coast" ], [ "6", "Friday, 6 May 7:40pm", "17.8 (110)", "North Melbourne", "17.23 (123)", "Lost by 13 points", "Melbourne Cricket Ground", "10,133", "Donald McDonald", "North Melbourne" ], [ "7", "Friday, 13 May 7:40pm", "17.10 (112)", "St Kilda", "3.18 (36)", "Won by 76 points", "WACA Ground", "12,803", "Alex Ishchenko", "West Coast" ], [ "8", "Sunday, 22 May 2:10pm", "9.9 (63)", "Hawthorn", "17.14 (116)", "Lost by 53 points", "Subiaco Oval", "27,344", "Chris Wittman", "Hawthorn" ], [ "9", "Sunday, 29 May 2:10pm", "12.15 (87)", "Carlton", "15.10 (100)", "Lost by 13 points", "Subiaco Oval", "27,663", "Ken Hunter", "Carlton" ], [ "10", "Sunday, 5 June 2:10pm", "10.15 (75)", "Richmond", "16.20 (116)", "Lost by 41 points", "Melbourne Cricket Ground", "7,157", "Peter Wilson", "Richmond" ], [ "11", "Monday, 13 June 2:10pm", "10.13 (73)", "Melbourne", "13.15 (93)", "Lost by 20 points", "Melbourne Cricket Ground", "28,045", "Alan Johnson", "Melbourne" ], [ "12", "Sunday, 19 June 2:10pm", "8.13 (61)", "Sydney", "14.20 (104)", "Lost by 43 points", "Sydney Cricket Ground", "12,664", "Michael Parsons", "Sydney" ], [ "13", "Sunday, 26 June 2:10pm", "17.19 (121)", "Fitzroy", "13.9 (87)", "Won by 34 points", "Subiaco Oval", "15,028", "Wally Matera", "West Coast" ], [ "15", "Sunday, 10 July 2:10pm", "18.18 (126)", "Geelong", "16.10 (106)", "Won by 20 points", "Subiaco Oval", "18,537", "Chris Mainwaring", "West Coast" ], [ "16", "Friday, 15 July 7:40pm", "14.14 (98)", "Brisbane Bears", "12.17 (89)", "Won by 9 points", "WACA Ground", "16,074", "Mark Withers", "Brisbane Bears" ], [ "17", "Friday, 22 July 7:40pm", "8.16 (64)", "Fitzroy", "19.20 (134)", "Lost by 70 points", "Melbourne Cricket Ground", "7,611", "John Ironmonger", "Fitzroy" ], [ "18", "Sunday, 31 July 2:10pm", "18.14 (122)", "Melbourne", "11.12 (78)", "Won by 44 points", "Subiaco Oval", "16,266", "Murray Rance", "West Coast" ], [ "19", "Sunday, 7 August 2:10pm", "16.9 (115)", "North Melbourne", "12.12 (84)", "Won by 31 points", "Subiaco Oval", "18,193", "Guy McKenna", "West Coast" ], [ "20", "Saturday, 13 August 2:10pm", "14.13 (97)", "St Kilda", "13.10 (88)", "Won by 9 points", "Moorabbin Oval", "11,074", "Laurie Keene", "West Coast" ], [ "21", "Sunday, 21 August 7:40pm", "16.15 (111)", "Collingwood", "7.9 (51)", "Won by 60 points", "Subiaco Oval", "36,638", "Karl Langdon", "West Coast" ] ]
[ "Melbourne Cricket Ground" ]
which venue had the least amount in attendance? ||
nt-5558
col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 2 | friday, 8 april 7:40pm | 26.19 (175) | essendon | 11.10 (76) | won by 99 points | waca ground | 24,886 | john gastev | west coast row 2 : 3 | sunday, 17 april 2:10pm | 29.18 (192) | brisbane bears | 10.14 (74) | won by 118 points | waca ground | 16,354 | chris mainwaring | west coast row 3 : 4 | saturday, 23 april 2:10pm | 8.7 (55) | collingwood | 13.16 (94) | lost by 87 points | victoria park | 26,276 | james manson | collingwood row 4 : 5 | friday, 29 april 7:40pm | 14.16 (100) | footscray | 14.9 (93) | won by 7 points | waca ground | 17,662 | ross glendinning | west coast row 5 : 6 | friday, 6 may 7:40pm | 17.8 (110) | north melbourne | 17.23 (123) | lost by 13 points | melbourne cricket ground | 10,133 | donald mcdonald | north melbourne row 6 : 7 | friday, 13 may 7:40pm | 17.10 (112) | st kilda | 3.18 (36) | won by 76 points | waca ground | 12,803 | alex ishchenko | west coast row 7 : 8 | sunday, 22 may 2:10pm | 9.9 (63) | hawthorn | 17.14 (116) | lost by 53 points | subiaco oval | 27,344 | chris wittman | hawthorn row 8 : 9 | sunday, 29 may 2:10pm | 12.15 (87) | carlton | 15.10 (100) | lost by 13 points | subiaco oval | 27,663 | ken hunter | carlton row 9 : 10 | sunday, 5 june 2:10pm | 10.15 (75) | richmond | 16.20 (116) | lost by 41 points | melbourne cricket ground | 7,157 | peter wilson | richmond row 10 : 11 | monday, 13 june 2:10pm | 10.13 (73) | melbourne | 13.15 (93) | lost by 20 points | melbourne cricket ground | 28,045 | alan johnson | melbourne row 11 : 12 | sunday, 19 june 2:10pm | 8.13 (61) | sydney | 14.20 (104) | lost by 43 points | sydney cricket ground | 12,664 | michael parsons | sydney row 12 : 13 | sunday, 26 june 2:10pm | 17.19 (121) | fitzroy | 13.9 (87) | won by 34 points | subiaco oval | 15,028 | wally matera | west coast row 13 : 14 | saturday, 2 july 2:10pm | 13.7 (85) | essendon | 16.16 (112) | lost by 27 points | windy hill | 10,298 | simon madden | essendon row 14 : 15 | sunday, 10 july 2:10pm | 18.18 (126) | geelong | 16.10 (106) | won by 20 points | subiaco oval | 18,537 | chris mainwaring | west coast row 15 : 16 | friday, 15 july 7:40pm | 14.14 (98) | brisbane bears | 12.17 (89) | won by 9 points | waca ground | 16,074 | mark withers | brisbane bears row 16 : 17 | friday, 22 july 7:40pm | 8.16 (64) | fitzroy | 19.20 (134) | lost by 70 points | melbourne cricket ground | 7,611 | john ironmonger | fitzroy row 17 : 18 | sunday, 31 july 2:10pm | 18.14 (122) | melbourne | 11.12 (78) | won by 44 points | subiaco oval | 16,266 | murray rance | west coast row 18 : 19 | sunday, 7 august 2:10pm | 16.9 (115) | north melbourne | 12.12 (84) | won by 31 points | subiaco oval | 18,193 | guy mckenna | west coast row 19 : 20 | saturday, 13 august 2:10pm | 14.13 (97) | st kilda | 13.10 (88) | won by 9 points | moorabbin oval | 11,074 | laurie keene | west coast
table_csv/204_881.csv
1
{ "column_index": [ 6 ], "row_index": [ 16 ] }
[ "which venue had the least amount in attendance?", "which venue had the second least amount in attendance?" ]
1
melbourne cricket ground
[ "Round", "Date", "Score", "Opponent", "Opponent's Score", "Result", "Venue", "Attendance", "Best on ground", "Team" ]
which venue had the second least amount in attendance?
[ [ "2", "Friday, 8 April 7:40pm", "26.19 (175)", "Essendon", "11.10 (76)", "Won by 99 points", "WACA Ground", "24,886", "John Gastev", "West Coast" ], [ "3", "Sunday, 17 April 2:10pm", "29.18 (192)", "Brisbane Bears", "10.14 (74)", "Won by 118 points", "WACA Ground", "16,354", "Chris Mainwaring", "West Coast" ], [ "4", "Saturday, 23 April 2:10pm", "8.7 (55)", "Collingwood", "13.16 (94)", "Lost by 87 points", "Victoria Park", "26,276", "James Manson", "Collingwood" ], [ "5", "Friday, 29 April 7:40pm", "14.16 (100)", "Footscray", "14.9 (93)", "Won by 7 points", "WACA Ground", "17,662", "Ross Glendinning", "West Coast" ], [ "6", "Friday, 6 May 7:40pm", "17.8 (110)", "North Melbourne", "17.23 (123)", "Lost by 13 points", "Melbourne Cricket Ground", "10,133", "Donald McDonald", "North Melbourne" ], [ "7", "Friday, 13 May 7:40pm", "17.10 (112)", "St Kilda", "3.18 (36)", "Won by 76 points", "WACA Ground", "12,803", "Alex Ishchenko", "West Coast" ], [ "8", "Sunday, 22 May 2:10pm", "9.9 (63)", "Hawthorn", "17.14 (116)", "Lost by 53 points", "Subiaco Oval", "27,344", "Chris Wittman", "Hawthorn" ], [ "9", "Sunday, 29 May 2:10pm", "12.15 (87)", "Carlton", "15.10 (100)", "Lost by 13 points", "Subiaco Oval", "27,663", "Ken Hunter", "Carlton" ], [ "10", "Sunday, 5 June 2:10pm", "10.15 (75)", "Richmond", "16.20 (116)", "Lost by 41 points", "Melbourne Cricket Ground", "7,157", "Peter Wilson", "Richmond" ], [ "11", "Monday, 13 June 2:10pm", "10.13 (73)", "Melbourne", "13.15 (93)", "Lost by 20 points", "Melbourne Cricket Ground", "28,045", "Alan Johnson", "Melbourne" ], [ "12", "Sunday, 19 June 2:10pm", "8.13 (61)", "Sydney", "14.20 (104)", "Lost by 43 points", "Sydney Cricket Ground", "12,664", "Michael Parsons", "Sydney" ], [ "13", "Sunday, 26 June 2:10pm", "17.19 (121)", "Fitzroy", "13.9 (87)", "Won by 34 points", "Subiaco Oval", "15,028", "Wally Matera", "West Coast" ], [ "14", "Saturday, 2 July 2:10pm", "13.7 (85)", "Essendon", "16.16 (112)", "Lost by 27 points", "Windy Hill", "10,298", "Simon Madden", "Essendon" ], [ "15", "Sunday, 10 July 2:10pm", "18.18 (126)", "Geelong", "16.10 (106)", "Won by 20 points", "Subiaco Oval", "18,537", "Chris Mainwaring", "West Coast" ], [ "16", "Friday, 15 July 7:40pm", "14.14 (98)", "Brisbane Bears", "12.17 (89)", "Won by 9 points", "WACA Ground", "16,074", "Mark Withers", "Brisbane Bears" ], [ "17", "Friday, 22 July 7:40pm", "8.16 (64)", "Fitzroy", "19.20 (134)", "Lost by 70 points", "Melbourne Cricket Ground", "7,611", "John Ironmonger", "Fitzroy" ], [ "18", "Sunday, 31 July 2:10pm", "18.14 (122)", "Melbourne", "11.12 (78)", "Won by 44 points", "Subiaco Oval", "16,266", "Murray Rance", "West Coast" ], [ "19", "Sunday, 7 August 2:10pm", "16.9 (115)", "North Melbourne", "12.12 (84)", "Won by 31 points", "Subiaco Oval", "18,193", "Guy McKenna", "West Coast" ], [ "20", "Saturday, 13 August 2:10pm", "14.13 (97)", "St Kilda", "13.10 (88)", "Won by 9 points", "Moorabbin Oval", "11,074", "Laurie Keene", "West Coast" ] ]
[ "Melbourne Cricket Ground" ]
which venue had the second least amount in attendance? || which venue had the least amount in attendance?
nt-5558
col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 2 | friday, 8 april 7:40pm | 26.19 (175) | essendon | 11.10 (76) | won by 99 points | waca ground | 24,886 | john gastev | west coast row 3 : 4 | saturday, 23 april 2:10pm | 8.7 (55) | collingwood | 13.16 (94) | lost by 87 points | victoria park | 26,276 | james manson | collingwood row 4 : 5 | friday, 29 april 7:40pm | 14.16 (100) | footscray | 14.9 (93) | won by 7 points | waca ground | 17,662 | ross glendinning | west coast row 5 : 6 | friday, 6 may 7:40pm | 17.8 (110) | north melbourne | 17.23 (123) | lost by 13 points | melbourne cricket ground | 10,133 | donald mcdonald | north melbourne row 6 : 7 | friday, 13 may 7:40pm | 17.10 (112) | st kilda | 3.18 (36) | won by 76 points | waca ground | 12,803 | alex ishchenko | west coast row 7 : 8 | sunday, 22 may 2:10pm | 9.9 (63) | hawthorn | 17.14 (116) | lost by 53 points | subiaco oval | 27,344 | chris wittman | hawthorn row 8 : 9 | sunday, 29 may 2:10pm | 12.15 (87) | carlton | 15.10 (100) | lost by 13 points | subiaco oval | 27,663 | ken hunter | carlton row 9 : 10 | sunday, 5 june 2:10pm | 10.15 (75) | richmond | 16.20 (116) | lost by 41 points | melbourne cricket ground | 7,157 | peter wilson | richmond row 10 : 11 | monday, 13 june 2:10pm | 10.13 (73) | melbourne | 13.15 (93) | lost by 20 points | melbourne cricket ground | 28,045 | alan johnson | melbourne row 11 : 12 | sunday, 19 june 2:10pm | 8.13 (61) | sydney | 14.20 (104) | lost by 43 points | sydney cricket ground | 12,664 | michael parsons | sydney row 12 : 14 | saturday, 2 july 2:10pm | 13.7 (85) | essendon | 16.16 (112) | lost by 27 points | windy hill | 10,298 | simon madden | essendon row 13 : 15 | sunday, 10 july 2:10pm | 18.18 (126) | geelong | 16.10 (106) | won by 20 points | subiaco oval | 18,537 | chris mainwaring | west coast row 14 : 16 | friday, 15 july 7:40pm | 14.14 (98) | brisbane bears | 12.17 (89) | won by 9 points | waca ground | 16,074 | mark withers | brisbane bears row 15 : 17 | friday, 22 july 7:40pm | 8.16 (64) | fitzroy | 19.20 (134) | lost by 70 points | melbourne cricket ground | 7,611 | john ironmonger | fitzroy row 16 : 18 | sunday, 31 july 2:10pm | 18.14 (122) | melbourne | 11.12 (78) | won by 44 points | subiaco oval | 16,266 | murray rance | west coast row 17 : 19 | sunday, 7 august 2:10pm | 16.9 (115) | north melbourne | 12.12 (84) | won by 31 points | subiaco oval | 18,193 | guy mckenna | west coast row 18 : 21 | sunday, 21 august 7:40pm | 16.15 (111) | collingwood | 7.9 (51) | won by 60 points | subiaco oval | 36,638 | karl langdon | west coast row 19 : 22 | sunday, 28 august 2:10pm | 7.11 (53) | footscray | 3.11 (29) | won by 24 points | western oval | 18,456 | chris mainwaring | west coast
table_csv/204_881.csv
2
{ "column_index": [ 6 ], "row_index": [ 22 ] }
[ "which venue had the least amount in attendance?", "which venue had the second least amount in attendance?", "which venue had the most in attendance?" ]
1
waverley park
[ "Round", "Date", "Score", "Opponent", "Opponent's Score", "Result", "Venue", "Attendance", "Best on ground", "Team" ]
which venue had the most in attendance?
[ [ "1", "Saturday, 2 April 2:10pm", "14.20 (104)", "Richmond", "11.17 (83)", "Won by 21 points", "Kardinia Park (stadium)", "20,781", "Alex Ishchenko", "West Coast" ], [ "2", "Friday, 8 April 7:40pm", "26.19 (175)", "Essendon", "11.10 (76)", "Won by 99 points", "WACA Ground", "24,886", "John Gastev", "West Coast" ], [ "4", "Saturday, 23 April 2:10pm", "8.7 (55)", "Collingwood", "13.16 (94)", "Lost by 87 points", "Victoria Park", "26,276", "James Manson", "Collingwood" ], [ "5", "Friday, 29 April 7:40pm", "14.16 (100)", "Footscray", "14.9 (93)", "Won by 7 points", "WACA Ground", "17,662", "Ross Glendinning", "West Coast" ], [ "6", "Friday, 6 May 7:40pm", "17.8 (110)", "North Melbourne", "17.23 (123)", "Lost by 13 points", "Melbourne Cricket Ground", "10,133", "Donald McDonald", "North Melbourne" ], [ "7", "Friday, 13 May 7:40pm", "17.10 (112)", "St Kilda", "3.18 (36)", "Won by 76 points", "WACA Ground", "12,803", "Alex Ishchenko", "West Coast" ], [ "8", "Sunday, 22 May 2:10pm", "9.9 (63)", "Hawthorn", "17.14 (116)", "Lost by 53 points", "Subiaco Oval", "27,344", "Chris Wittman", "Hawthorn" ], [ "9", "Sunday, 29 May 2:10pm", "12.15 (87)", "Carlton", "15.10 (100)", "Lost by 13 points", "Subiaco Oval", "27,663", "Ken Hunter", "Carlton" ], [ "10", "Sunday, 5 June 2:10pm", "10.15 (75)", "Richmond", "16.20 (116)", "Lost by 41 points", "Melbourne Cricket Ground", "7,157", "Peter Wilson", "Richmond" ], [ "11", "Monday, 13 June 2:10pm", "10.13 (73)", "Melbourne", "13.15 (93)", "Lost by 20 points", "Melbourne Cricket Ground", "28,045", "Alan Johnson", "Melbourne" ], [ "12", "Sunday, 19 June 2:10pm", "8.13 (61)", "Sydney", "14.20 (104)", "Lost by 43 points", "Sydney Cricket Ground", "12,664", "Michael Parsons", "Sydney" ], [ "14", "Saturday, 2 July 2:10pm", "13.7 (85)", "Essendon", "16.16 (112)", "Lost by 27 points", "Windy Hill", "10,298", "Simon Madden", "Essendon" ], [ "15", "Sunday, 10 July 2:10pm", "18.18 (126)", "Geelong", "16.10 (106)", "Won by 20 points", "Subiaco Oval", "18,537", "Chris Mainwaring", "West Coast" ], [ "16", "Friday, 15 July 7:40pm", "14.14 (98)", "Brisbane Bears", "12.17 (89)", "Won by 9 points", "WACA Ground", "16,074", "Mark Withers", "Brisbane Bears" ], [ "17", "Friday, 22 July 7:40pm", "8.16 (64)", "Fitzroy", "19.20 (134)", "Lost by 70 points", "Melbourne Cricket Ground", "7,611", "John Ironmonger", "Fitzroy" ], [ "18", "Sunday, 31 July 2:10pm", "18.14 (122)", "Melbourne", "11.12 (78)", "Won by 44 points", "Subiaco Oval", "16,266", "Murray Rance", "West Coast" ], [ "19", "Sunday, 7 August 2:10pm", "16.9 (115)", "North Melbourne", "12.12 (84)", "Won by 31 points", "Subiaco Oval", "18,193", "Guy McKenna", "West Coast" ], [ "21", "Sunday, 21 August 7:40pm", "16.15 (111)", "Collingwood", "7.9 (51)", "Won by 60 points", "Subiaco Oval", "36,638", "Karl Langdon", "West Coast" ], [ "22", "Sunday, 28 August 2:10pm", "7.11 (53)", "Footscray", "3.11 (29)", "Won by 24 points", "Western Oval", "18,456", "Chris Mainwaring", "West Coast" ] ]
[ "Waverley Park" ]
which venue had the most in attendance? || which venue had the second least amount in attendance? | which venue had the least amount in attendance?
nt-5558
col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 2 | friday, 8 april 7:40pm | 26.19 (175) | essendon | 11.10 (76) | won by 99 points | waca ground | 24,886 | john gastev | west coast row 3 : 3 | sunday, 17 april 2:10pm | 29.18 (192) | brisbane bears | 10.14 (74) | won by 118 points | waca ground | 16,354 | chris mainwaring | west coast row 4 : 4 | saturday, 23 april 2:10pm | 8.7 (55) | collingwood | 13.16 (94) | lost by 87 points | victoria park | 26,276 | james manson | collingwood row 5 : 5 | friday, 29 april 7:40pm | 14.16 (100) | footscray | 14.9 (93) | won by 7 points | waca ground | 17,662 | ross glendinning | west coast row 6 : 6 | friday, 6 may 7:40pm | 17.8 (110) | north melbourne | 17.23 (123) | lost by 13 points | melbourne cricket ground | 10,133 | donald mcdonald | north melbourne row 7 : 7 | friday, 13 may 7:40pm | 17.10 (112) | st kilda | 3.18 (36) | won by 76 points | waca ground | 12,803 | alex ishchenko | west coast row 8 : 8 | sunday, 22 may 2:10pm | 9.9 (63) | hawthorn | 17.14 (116) | lost by 53 points | subiaco oval | 27,344 | chris wittman | hawthorn row 9 : 9 | sunday, 29 may 2:10pm | 12.15 (87) | carlton | 15.10 (100) | lost by 13 points | subiaco oval | 27,663 | ken hunter | carlton row 10 : 10 | sunday, 5 june 2:10pm | 10.15 (75) | richmond | 16.20 (116) | lost by 41 points | melbourne cricket ground | 7,157 | peter wilson | richmond row 11 : 11 | monday, 13 june 2:10pm | 10.13 (73) | melbourne | 13.15 (93) | lost by 20 points | melbourne cricket ground | 28,045 | alan johnson | melbourne row 12 : 12 | sunday, 19 june 2:10pm | 8.13 (61) | sydney | 14.20 (104) | lost by 43 points | sydney cricket ground | 12,664 | michael parsons | sydney row 13 : 13 | sunday, 26 june 2:10pm | 17.19 (121) | fitzroy | 13.9 (87) | won by 34 points | subiaco oval | 15,028 | wally matera | west coast row 14 : 14 | saturday, 2 july 2:10pm | 13.7 (85) | essendon | 16.16 (112) | lost by 27 points | windy hill | 10,298 | simon madden | essendon row 15 : 15 | sunday, 10 july 2:10pm | 18.18 (126) | geelong | 16.10 (106) | won by 20 points | subiaco oval | 18,537 | chris mainwaring | west coast row 16 : 16 | friday, 15 july 7:40pm | 14.14 (98) | brisbane bears | 12.17 (89) | won by 9 points | waca ground | 16,074 | mark withers | brisbane bears row 17 : 17 | friday, 22 july 7:40pm | 8.16 (64) | fitzroy | 19.20 (134) | lost by 70 points | melbourne cricket ground | 7,611 | john ironmonger | fitzroy row 18 : 18 | sunday, 31 july 2:10pm | 18.14 (122) | melbourne | 11.12 (78) | won by 44 points | subiaco oval | 16,266 | murray rance | west coast row 19 : 19 | sunday, 7 august 2:10pm | 16.9 (115) | north melbourne | 12.12 (84) | won by 31 points | subiaco oval | 18,193 | guy mckenna | west coast
table_csv/204_881.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, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 ] }
[ "what were all of the rounds during the 1988 west coast eagles season?" ]
2
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, ef
[ "Round", "Date", "Score", "Opponent", "Opponent's Score", "Result", "Venue", "Attendance", "Best on ground", "Team" ]
what were all of the rounds during the 1988 west coast eagles season?
[ [ "1", "Saturday, 2 April 2:10pm", "14.20 (104)", "Richmond", "11.17 (83)", "Won by 21 points", "Kardinia Park (stadium)", "20,781", "Alex Ishchenko", "West Coast" ], [ "2", "Friday, 8 April 7:40pm", "26.19 (175)", "Essendon", "11.10 (76)", "Won by 99 points", "WACA Ground", "24,886", "John Gastev", "West Coast" ], [ "3", "Sunday, 17 April 2:10pm", "29.18 (192)", "Brisbane Bears", "10.14 (74)", "Won by 118 points", "WACA Ground", "16,354", "Chris Mainwaring", "West Coast" ], [ "4", "Saturday, 23 April 2:10pm", "8.7 (55)", "Collingwood", "13.16 (94)", "Lost by 87 points", "Victoria Park", "26,276", "James Manson", "Collingwood" ], [ "5", "Friday, 29 April 7:40pm", "14.16 (100)", "Footscray", "14.9 (93)", "Won by 7 points", "WACA Ground", "17,662", "Ross Glendinning", "West Coast" ], [ "6", "Friday, 6 May 7:40pm", "17.8 (110)", "North Melbourne", "17.23 (123)", "Lost by 13 points", "Melbourne Cricket Ground", "10,133", "Donald McDonald", "North Melbourne" ], [ "7", "Friday, 13 May 7:40pm", "17.10 (112)", "St Kilda", "3.18 (36)", "Won by 76 points", "WACA Ground", "12,803", "Alex Ishchenko", "West Coast" ], [ "8", "Sunday, 22 May 2:10pm", "9.9 (63)", "Hawthorn", "17.14 (116)", "Lost by 53 points", "Subiaco Oval", "27,344", "Chris Wittman", "Hawthorn" ], [ "9", "Sunday, 29 May 2:10pm", "12.15 (87)", "Carlton", "15.10 (100)", "Lost by 13 points", "Subiaco Oval", "27,663", "Ken Hunter", "Carlton" ], [ "10", "Sunday, 5 June 2:10pm", "10.15 (75)", "Richmond", "16.20 (116)", "Lost by 41 points", "Melbourne Cricket Ground", "7,157", "Peter Wilson", "Richmond" ], [ "11", "Monday, 13 June 2:10pm", "10.13 (73)", "Melbourne", "13.15 (93)", "Lost by 20 points", "Melbourne Cricket Ground", "28,045", "Alan Johnson", "Melbourne" ], [ "12", "Sunday, 19 June 2:10pm", "8.13 (61)", "Sydney", "14.20 (104)", "Lost by 43 points", "Sydney Cricket Ground", "12,664", "Michael Parsons", "Sydney" ], [ "13", "Sunday, 26 June 2:10pm", "17.19 (121)", "Fitzroy", "13.9 (87)", "Won by 34 points", "Subiaco Oval", "15,028", "Wally Matera", "West Coast" ], [ "14", "Saturday, 2 July 2:10pm", "13.7 (85)", "Essendon", "16.16 (112)", "Lost by 27 points", "Windy Hill", "10,298", "Simon Madden", "Essendon" ], [ "15", "Sunday, 10 July 2:10pm", "18.18 (126)", "Geelong", "16.10 (106)", "Won by 20 points", "Subiaco Oval", "18,537", "Chris Mainwaring", "West Coast" ], [ "16", "Friday, 15 July 7:40pm", "14.14 (98)", "Brisbane Bears", "12.17 (89)", "Won by 9 points", "WACA Ground", "16,074", "Mark Withers", "Brisbane Bears" ], [ "17", "Friday, 22 July 7:40pm", "8.16 (64)", "Fitzroy", "19.20 (134)", "Lost by 70 points", "Melbourne Cricket Ground", "7,611", "John Ironmonger", "Fitzroy" ], [ "18", "Sunday, 31 July 2:10pm", "18.14 (122)", "Melbourne", "11.12 (78)", "Won by 44 points", "Subiaco Oval", "16,266", "Murray Rance", "West Coast" ], [ "19", "Sunday, 7 August 2:10pm", "16.9 (115)", "North Melbourne", "12.12 (84)", "Won by 31 points", "Subiaco Oval", "18,193", "Guy McKenna", "West Coast" ] ]
[ "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "EF" ]
what were all of the rounds during the 1988 west coast eagles season? ||
nt-5558
col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 2 | friday, 8 april 7:40pm | 26.19 (175) | essendon | 11.10 (76) | won by 99 points | waca ground | 24,886 | john gastev | west coast row 3 : 3 | sunday, 17 april 2:10pm | 29.18 (192) | brisbane bears | 10.14 (74) | won by 118 points | waca ground | 16,354 | chris mainwaring | west coast row 4 : 4 | saturday, 23 april 2:10pm | 8.7 (55) | collingwood | 13.16 (94) | lost by 87 points | victoria park | 26,276 | james manson | collingwood row 5 : 5 | friday, 29 april 7:40pm | 14.16 (100) | footscray | 14.9 (93) | won by 7 points | waca ground | 17,662 | ross glendinning | west coast row 6 : 6 | friday, 6 may 7:40pm | 17.8 (110) | north melbourne | 17.23 (123) | lost by 13 points | melbourne cricket ground | 10,133 | donald mcdonald | north melbourne row 7 : 7 | friday, 13 may 7:40pm | 17.10 (112) | st kilda | 3.18 (36) | won by 76 points | waca ground | 12,803 | alex ishchenko | west coast row 8 : 8 | sunday, 22 may 2:10pm | 9.9 (63) | hawthorn | 17.14 (116) | lost by 53 points | subiaco oval | 27,344 | chris wittman | hawthorn row 9 : 9 | sunday, 29 may 2:10pm | 12.15 (87) | carlton | 15.10 (100) | lost by 13 points | subiaco oval | 27,663 | ken hunter | carlton row 10 : 10 | sunday, 5 june 2:10pm | 10.15 (75) | richmond | 16.20 (116) | lost by 41 points | melbourne cricket ground | 7,157 | peter wilson | richmond row 11 : 11 | monday, 13 june 2:10pm | 10.13 (73) | melbourne | 13.15 (93) | lost by 20 points | melbourne cricket ground | 28,045 | alan johnson | melbourne row 12 : 12 | sunday, 19 june 2:10pm | 8.13 (61) | sydney | 14.20 (104) | lost by 43 points | sydney cricket ground | 12,664 | michael parsons | sydney row 13 : 13 | sunday, 26 june 2:10pm | 17.19 (121) | fitzroy | 13.9 (87) | won by 34 points | subiaco oval | 15,028 | wally matera | west coast row 14 : 14 | saturday, 2 july 2:10pm | 13.7 (85) | essendon | 16.16 (112) | lost by 27 points | windy hill | 10,298 | simon madden | essendon row 15 : 15 | sunday, 10 july 2:10pm | 18.18 (126) | geelong | 16.10 (106) | won by 20 points | subiaco oval | 18,537 | chris mainwaring | west coast row 16 : 16 | friday, 15 july 7:40pm | 14.14 (98) | brisbane bears | 12.17 (89) | won by 9 points | waca ground | 16,074 | mark withers | brisbane bears row 17 : 17 | friday, 22 july 7:40pm | 8.16 (64) | fitzroy | 19.20 (134) | lost by 70 points | melbourne cricket ground | 7,611 | john ironmonger | fitzroy row 18 : 18 | sunday, 31 july 2:10pm | 18.14 (122) | melbourne | 11.12 (78) | won by 44 points | subiaco oval | 16,266 | murray rance | west coast row 19 : 19 | sunday, 7 august 2:10pm | 16.9 (115) | north melbourne | 12.12 (84) | won by 31 points | subiaco oval | 18,193 | guy mckenna | west coast
table_csv/204_881.csv
1
{ "column_index": [ 6, 6, 6, 6, 6, 6, 6, 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, 16, 17, 18, 19, 20, 21, 22 ] }
[ "what were all of the rounds during the 1988 west coast eagles season?", "and what were the names of each venue?" ]
2
kardinia park (stadium), waca ground, waca ground, victoria park, waca ground, melbourne cricket ground, waca ground, subiaco oval, subiaco oval, melbourne cricket ground, melbourne cricket ground, sydney cricket ground, subiaco oval, windy hill, subiaco oval, waca ground, melbourne cricket ground, subiaco oval, subiaco oval, moorabbin oval, subiaco oval, western oval, waverley park
[ "Round", "Date", "Score", "Opponent", "Opponent's Score", "Result", "Venue", "Attendance", "Best on ground", "Team" ]
and what were the names of each venue?
[ [ "1", "Saturday, 2 April 2:10pm", "14.20 (104)", "Richmond", "11.17 (83)", "Won by 21 points", "Kardinia Park (stadium)", "20,781", "Alex Ishchenko", "West Coast" ], [ "2", "Friday, 8 April 7:40pm", "26.19 (175)", "Essendon", "11.10 (76)", "Won by 99 points", "WACA Ground", "24,886", "John Gastev", "West Coast" ], [ "3", "Sunday, 17 April 2:10pm", "29.18 (192)", "Brisbane Bears", "10.14 (74)", "Won by 118 points", "WACA Ground", "16,354", "Chris Mainwaring", "West Coast" ], [ "4", "Saturday, 23 April 2:10pm", "8.7 (55)", "Collingwood", "13.16 (94)", "Lost by 87 points", "Victoria Park", "26,276", "James Manson", "Collingwood" ], [ "5", "Friday, 29 April 7:40pm", "14.16 (100)", "Footscray", "14.9 (93)", "Won by 7 points", "WACA Ground", "17,662", "Ross Glendinning", "West Coast" ], [ "6", "Friday, 6 May 7:40pm", "17.8 (110)", "North Melbourne", "17.23 (123)", "Lost by 13 points", "Melbourne Cricket Ground", "10,133", "Donald McDonald", "North Melbourne" ], [ "7", "Friday, 13 May 7:40pm", "17.10 (112)", "St Kilda", "3.18 (36)", "Won by 76 points", "WACA Ground", "12,803", "Alex Ishchenko", "West Coast" ], [ "8", "Sunday, 22 May 2:10pm", "9.9 (63)", "Hawthorn", "17.14 (116)", "Lost by 53 points", "Subiaco Oval", "27,344", "Chris Wittman", "Hawthorn" ], [ "9", "Sunday, 29 May 2:10pm", "12.15 (87)", "Carlton", "15.10 (100)", "Lost by 13 points", "Subiaco Oval", "27,663", "Ken Hunter", "Carlton" ], [ "10", "Sunday, 5 June 2:10pm", "10.15 (75)", "Richmond", "16.20 (116)", "Lost by 41 points", "Melbourne Cricket Ground", "7,157", "Peter Wilson", "Richmond" ], [ "11", "Monday, 13 June 2:10pm", "10.13 (73)", "Melbourne", "13.15 (93)", "Lost by 20 points", "Melbourne Cricket Ground", "28,045", "Alan Johnson", "Melbourne" ], [ "12", "Sunday, 19 June 2:10pm", "8.13 (61)", "Sydney", "14.20 (104)", "Lost by 43 points", "Sydney Cricket Ground", "12,664", "Michael Parsons", "Sydney" ], [ "13", "Sunday, 26 June 2:10pm", "17.19 (121)", "Fitzroy", "13.9 (87)", "Won by 34 points", "Subiaco Oval", "15,028", "Wally Matera", "West Coast" ], [ "14", "Saturday, 2 July 2:10pm", "13.7 (85)", "Essendon", "16.16 (112)", "Lost by 27 points", "Windy Hill", "10,298", "Simon Madden", "Essendon" ], [ "15", "Sunday, 10 July 2:10pm", "18.18 (126)", "Geelong", "16.10 (106)", "Won by 20 points", "Subiaco Oval", "18,537", "Chris Mainwaring", "West Coast" ], [ "16", "Friday, 15 July 7:40pm", "14.14 (98)", "Brisbane Bears", "12.17 (89)", "Won by 9 points", "WACA Ground", "16,074", "Mark Withers", "Brisbane Bears" ], [ "17", "Friday, 22 July 7:40pm", "8.16 (64)", "Fitzroy", "19.20 (134)", "Lost by 70 points", "Melbourne Cricket Ground", "7,611", "John Ironmonger", "Fitzroy" ], [ "18", "Sunday, 31 July 2:10pm", "18.14 (122)", "Melbourne", "11.12 (78)", "Won by 44 points", "Subiaco Oval", "16,266", "Murray Rance", "West Coast" ], [ "19", "Sunday, 7 August 2:10pm", "16.9 (115)", "North Melbourne", "12.12 (84)", "Won by 31 points", "Subiaco Oval", "18,193", "Guy McKenna", "West Coast" ] ]
[ "Kardinia Park (stadium)", "WACA Ground", "WACA Ground", "Victoria Park", "WACA Ground", "Melbourne Cricket Ground", "WACA Ground", "Subiaco Oval", "Subiaco Oval", "Melbourne Cricket Ground", "Melbourne Cricket Ground", "Sydney Cricket Ground", "Subiaco Oval", "Windy Hill", "Subiaco Oval", "WACA Ground", "Melbourne Cricket Ground", "Subiaco Oval", "Subiaco Oval", "Moorabbin Oval", "Subiaco Oval", "Western Oval", "Waverley Park" ]
and what were the names of each venue? || what were all of the rounds during the 1988 west coast eagles season?
nt-5558
col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 2 | friday, 8 april 7:40pm | 26.19 (175) | essendon | 11.10 (76) | won by 99 points | waca ground | 24,886 | john gastev | west coast row 3 : 3 | sunday, 17 april 2:10pm | 29.18 (192) | brisbane bears | 10.14 (74) | won by 118 points | waca ground | 16,354 | chris mainwaring | west coast row 4 : 4 | saturday, 23 april 2:10pm | 8.7 (55) | collingwood | 13.16 (94) | lost by 87 points | victoria park | 26,276 | james manson | collingwood row 5 : 5 | friday, 29 april 7:40pm | 14.16 (100) | footscray | 14.9 (93) | won by 7 points | waca ground | 17,662 | ross glendinning | west coast row 6 : 6 | friday, 6 may 7:40pm | 17.8 (110) | north melbourne | 17.23 (123) | lost by 13 points | melbourne cricket ground | 10,133 | donald mcdonald | north melbourne row 7 : 7 | friday, 13 may 7:40pm | 17.10 (112) | st kilda | 3.18 (36) | won by 76 points | waca ground | 12,803 | alex ishchenko | west coast row 8 : 8 | sunday, 22 may 2:10pm | 9.9 (63) | hawthorn | 17.14 (116) | lost by 53 points | subiaco oval | 27,344 | chris wittman | hawthorn row 9 : 9 | sunday, 29 may 2:10pm | 12.15 (87) | carlton | 15.10 (100) | lost by 13 points | subiaco oval | 27,663 | ken hunter | carlton row 10 : 10 | sunday, 5 june 2:10pm | 10.15 (75) | richmond | 16.20 (116) | lost by 41 points | melbourne cricket ground | 7,157 | peter wilson | richmond row 11 : 11 | monday, 13 june 2:10pm | 10.13 (73) | melbourne | 13.15 (93) | lost by 20 points | melbourne cricket ground | 28,045 | alan johnson | melbourne row 12 : 12 | sunday, 19 june 2:10pm | 8.13 (61) | sydney | 14.20 (104) | lost by 43 points | sydney cricket ground | 12,664 | michael parsons | sydney row 13 : 13 | sunday, 26 june 2:10pm | 17.19 (121) | fitzroy | 13.9 (87) | won by 34 points | subiaco oval | 15,028 | wally matera | west coast row 14 : 14 | saturday, 2 july 2:10pm | 13.7 (85) | essendon | 16.16 (112) | lost by 27 points | windy hill | 10,298 | simon madden | essendon row 15 : 15 | sunday, 10 july 2:10pm | 18.18 (126) | geelong | 16.10 (106) | won by 20 points | subiaco oval | 18,537 | chris mainwaring | west coast row 16 : 16 | friday, 15 july 7:40pm | 14.14 (98) | brisbane bears | 12.17 (89) | won by 9 points | waca ground | 16,074 | mark withers | brisbane bears row 17 : 17 | friday, 22 july 7:40pm | 8.16 (64) | fitzroy | 19.20 (134) | lost by 70 points | melbourne cricket ground | 7,611 | john ironmonger | fitzroy row 18 : 18 | sunday, 31 july 2:10pm | 18.14 (122) | melbourne | 11.12 (78) | won by 44 points | subiaco oval | 16,266 | murray rance | west coast row 19 : 19 | sunday, 7 august 2:10pm | 16.9 (115) | north melbourne | 12.12 (84) | won by 31 points | subiaco oval | 18,193 | guy mckenna | west coast
table_csv/204_881.csv
2
{ "column_index": [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 ] }
[ "what were all of the rounds during the 1988 west coast eagles season?", "and what were the names of each venue?", "how many people attended those games?" ]
2
20,781, 24,886, 16,354, 26,276, 17,662, 10,133, 12,803, 27,344, 27,663, 7,157, 28,045, 12,664, 15,028, 10,298, 18,537, 16,074, 7,611, 16,266, 18,193, 11,074, 36,638, 18,456, 43,438
[ "Round", "Date", "Score", "Opponent", "Opponent's Score", "Result", "Venue", "Attendance", "Best on ground", "Team" ]
how many people attended those games?
[ [ "1", "Saturday, 2 April 2:10pm", "14.20 (104)", "Richmond", "11.17 (83)", "Won by 21 points", "Kardinia Park (stadium)", "20,781", "Alex Ishchenko", "West Coast" ], [ "2", "Friday, 8 April 7:40pm", "26.19 (175)", "Essendon", "11.10 (76)", "Won by 99 points", "WACA Ground", "24,886", "John Gastev", "West Coast" ], [ "3", "Sunday, 17 April 2:10pm", "29.18 (192)", "Brisbane Bears", "10.14 (74)", "Won by 118 points", "WACA Ground", "16,354", "Chris Mainwaring", "West Coast" ], [ "4", "Saturday, 23 April 2:10pm", "8.7 (55)", "Collingwood", "13.16 (94)", "Lost by 87 points", "Victoria Park", "26,276", "James Manson", "Collingwood" ], [ "5", "Friday, 29 April 7:40pm", "14.16 (100)", "Footscray", "14.9 (93)", "Won by 7 points", "WACA Ground", "17,662", "Ross Glendinning", "West Coast" ], [ "6", "Friday, 6 May 7:40pm", "17.8 (110)", "North Melbourne", "17.23 (123)", "Lost by 13 points", "Melbourne Cricket Ground", "10,133", "Donald McDonald", "North Melbourne" ], [ "7", "Friday, 13 May 7:40pm", "17.10 (112)", "St Kilda", "3.18 (36)", "Won by 76 points", "WACA Ground", "12,803", "Alex Ishchenko", "West Coast" ], [ "8", "Sunday, 22 May 2:10pm", "9.9 (63)", "Hawthorn", "17.14 (116)", "Lost by 53 points", "Subiaco Oval", "27,344", "Chris Wittman", "Hawthorn" ], [ "9", "Sunday, 29 May 2:10pm", "12.15 (87)", "Carlton", "15.10 (100)", "Lost by 13 points", "Subiaco Oval", "27,663", "Ken Hunter", "Carlton" ], [ "10", "Sunday, 5 June 2:10pm", "10.15 (75)", "Richmond", "16.20 (116)", "Lost by 41 points", "Melbourne Cricket Ground", "7,157", "Peter Wilson", "Richmond" ], [ "11", "Monday, 13 June 2:10pm", "10.13 (73)", "Melbourne", "13.15 (93)", "Lost by 20 points", "Melbourne Cricket Ground", "28,045", "Alan Johnson", "Melbourne" ], [ "12", "Sunday, 19 June 2:10pm", "8.13 (61)", "Sydney", "14.20 (104)", "Lost by 43 points", "Sydney Cricket Ground", "12,664", "Michael Parsons", "Sydney" ], [ "13", "Sunday, 26 June 2:10pm", "17.19 (121)", "Fitzroy", "13.9 (87)", "Won by 34 points", "Subiaco Oval", "15,028", "Wally Matera", "West Coast" ], [ "14", "Saturday, 2 July 2:10pm", "13.7 (85)", "Essendon", "16.16 (112)", "Lost by 27 points", "Windy Hill", "10,298", "Simon Madden", "Essendon" ], [ "15", "Sunday, 10 July 2:10pm", "18.18 (126)", "Geelong", "16.10 (106)", "Won by 20 points", "Subiaco Oval", "18,537", "Chris Mainwaring", "West Coast" ], [ "16", "Friday, 15 July 7:40pm", "14.14 (98)", "Brisbane Bears", "12.17 (89)", "Won by 9 points", "WACA Ground", "16,074", "Mark Withers", "Brisbane Bears" ], [ "17", "Friday, 22 July 7:40pm", "8.16 (64)", "Fitzroy", "19.20 (134)", "Lost by 70 points", "Melbourne Cricket Ground", "7,611", "John Ironmonger", "Fitzroy" ], [ "18", "Sunday, 31 July 2:10pm", "18.14 (122)", "Melbourne", "11.12 (78)", "Won by 44 points", "Subiaco Oval", "16,266", "Murray Rance", "West Coast" ], [ "19", "Sunday, 7 August 2:10pm", "16.9 (115)", "North Melbourne", "12.12 (84)", "Won by 31 points", "Subiaco Oval", "18,193", "Guy McKenna", "West Coast" ] ]
[ "20,781", "24,886", "16,354", "26,276", "17,662", "10,133", "12,803", "27,344", "27,663", "7,157", "28,045", "12,664", "15,028", "10,298", "18,537", "16,074", "7,611", "16,266", "18,193", "11,074", "36,638", "18,456", "43,438" ]
how many people attended those games? || and what were the names of each venue? | what were all of the rounds during the 1988 west coast eagles season?
nt-5558
col : round | date | score | opponent | opponent's score | result | venue | attendance | best on ground | team row 1 : 1 | saturday, 2 april 2:10pm | 14.20 (104) | richmond | 11.17 (83) | won by 21 points | kardinia park (stadium) | 20,781 | alex ishchenko | west coast row 2 : 2 | friday, 8 april 7:40pm | 26.19 (175) | essendon | 11.10 (76) | won by 99 points | waca ground | 24,886 | john gastev | west coast row 3 : 3 | sunday, 17 april 2:10pm | 29.18 (192) | brisbane bears | 10.14 (74) | won by 118 points | waca ground | 16,354 | chris mainwaring | west coast row 4 : 4 | saturday, 23 april 2:10pm | 8.7 (55) | collingwood | 13.16 (94) | lost by 87 points | victoria park | 26,276 | james manson | collingwood row 5 : 7 | friday, 13 may 7:40pm | 17.10 (112) | st kilda | 3.18 (36) | won by 76 points | waca ground | 12,803 | alex ishchenko | west coast row 6 : 8 | sunday, 22 may 2:10pm | 9.9 (63) | hawthorn | 17.14 (116) | lost by 53 points | subiaco oval | 27,344 | chris wittman | hawthorn row 7 : 9 | sunday, 29 may 2:10pm | 12.15 (87) | carlton | 15.10 (100) | lost by 13 points | subiaco oval | 27,663 | ken hunter | carlton row 8 : 10 | sunday, 5 june 2:10pm | 10.15 (75) | richmond | 16.20 (116) | lost by 41 points | melbourne cricket ground | 7,157 | peter wilson | richmond row 9 : 11 | monday, 13 june 2:10pm | 10.13 (73) | melbourne | 13.15 (93) | lost by 20 points | melbourne cricket ground | 28,045 | alan johnson | melbourne row 10 : 12 | sunday, 19 june 2:10pm | 8.13 (61) | sydney | 14.20 (104) | lost by 43 points | sydney cricket ground | 12,664 | michael parsons | sydney row 11 : 13 | sunday, 26 june 2:10pm | 17.19 (121) | fitzroy | 13.9 (87) | won by 34 points | subiaco oval | 15,028 | wally matera | west coast row 12 : 15 | sunday, 10 july 2:10pm | 18.18 (126) | geelong | 16.10 (106) | won by 20 points | subiaco oval | 18,537 | chris mainwaring | west coast row 13 : 16 | friday, 15 july 7:40pm | 14.14 (98) | brisbane bears | 12.17 (89) | won by 9 points | waca ground | 16,074 | mark withers | brisbane bears row 14 : 17 | friday, 22 july 7:40pm | 8.16 (64) | fitzroy | 19.20 (134) | lost by 70 points | melbourne cricket ground | 7,611 | john ironmonger | fitzroy row 15 : 18 | sunday, 31 july 2:10pm | 18.14 (122) | melbourne | 11.12 (78) | won by 44 points | subiaco oval | 16,266 | murray rance | west coast row 16 : 19 | sunday, 7 august 2:10pm | 16.9 (115) | north melbourne | 12.12 (84) | won by 31 points | subiaco oval | 18,193 | guy mckenna | west coast row 17 : 20 | saturday, 13 august 2:10pm | 14.13 (97) | st kilda | 13.10 (88) | won by 9 points | moorabbin oval | 11,074 | laurie keene | west coast row 18 : 21 | sunday, 21 august 7:40pm | 16.15 (111) | collingwood | 7.9 (51) | won by 60 points | subiaco oval | 36,638 | karl langdon | west coast
table_csv/204_881.csv
3
{ "column_index": [ 6 ], "row_index": [ 22 ] }
[ "what were all of the rounds during the 1988 west coast eagles season?", "and what were the names of each venue?", "how many people attended those games?", "of those, which venue had the highest attendance?" ]
2
waverley park
[ "Round", "Date", "Score", "Opponent", "Opponent's Score", "Result", "Venue", "Attendance", "Best on ground", "Team" ]
of those, which venue had the highest attendance?
[ [ "1", "Saturday, 2 April 2:10pm", "14.20 (104)", "Richmond", "11.17 (83)", "Won by 21 points", "Kardinia Park (stadium)", "20,781", "Alex Ishchenko", "West Coast" ], [ "2", "Friday, 8 April 7:40pm", "26.19 (175)", "Essendon", "11.10 (76)", "Won by 99 points", "WACA Ground", "24,886", "John Gastev", "West Coast" ], [ "3", "Sunday, 17 April 2:10pm", "29.18 (192)", "Brisbane Bears", "10.14 (74)", "Won by 118 points", "WACA Ground", "16,354", "Chris Mainwaring", "West Coast" ], [ "4", "Saturday, 23 April 2:10pm", "8.7 (55)", "Collingwood", "13.16 (94)", "Lost by 87 points", "Victoria Park", "26,276", "James Manson", "Collingwood" ], [ "7", "Friday, 13 May 7:40pm", "17.10 (112)", "St Kilda", "3.18 (36)", "Won by 76 points", "WACA Ground", "12,803", "Alex Ishchenko", "West Coast" ], [ "8", "Sunday, 22 May 2:10pm", "9.9 (63)", "Hawthorn", "17.14 (116)", "Lost by 53 points", "Subiaco Oval", "27,344", "Chris Wittman", "Hawthorn" ], [ "9", "Sunday, 29 May 2:10pm", "12.15 (87)", "Carlton", "15.10 (100)", "Lost by 13 points", "Subiaco Oval", "27,663", "Ken Hunter", "Carlton" ], [ "10", "Sunday, 5 June 2:10pm", "10.15 (75)", "Richmond", "16.20 (116)", "Lost by 41 points", "Melbourne Cricket Ground", "7,157", "Peter Wilson", "Richmond" ], [ "11", "Monday, 13 June 2:10pm", "10.13 (73)", "Melbourne", "13.15 (93)", "Lost by 20 points", "Melbourne Cricket Ground", "28,045", "Alan Johnson", "Melbourne" ], [ "12", "Sunday, 19 June 2:10pm", "8.13 (61)", "Sydney", "14.20 (104)", "Lost by 43 points", "Sydney Cricket Ground", "12,664", "Michael Parsons", "Sydney" ], [ "13", "Sunday, 26 June 2:10pm", "17.19 (121)", "Fitzroy", "13.9 (87)", "Won by 34 points", "Subiaco Oval", "15,028", "Wally Matera", "West Coast" ], [ "15", "Sunday, 10 July 2:10pm", "18.18 (126)", "Geelong", "16.10 (106)", "Won by 20 points", "Subiaco Oval", "18,537", "Chris Mainwaring", "West Coast" ], [ "16", "Friday, 15 July 7:40pm", "14.14 (98)", "Brisbane Bears", "12.17 (89)", "Won by 9 points", "WACA Ground", "16,074", "Mark Withers", "Brisbane Bears" ], [ "17", "Friday, 22 July 7:40pm", "8.16 (64)", "Fitzroy", "19.20 (134)", "Lost by 70 points", "Melbourne Cricket Ground", "7,611", "John Ironmonger", "Fitzroy" ], [ "18", "Sunday, 31 July 2:10pm", "18.14 (122)", "Melbourne", "11.12 (78)", "Won by 44 points", "Subiaco Oval", "16,266", "Murray Rance", "West Coast" ], [ "19", "Sunday, 7 August 2:10pm", "16.9 (115)", "North Melbourne", "12.12 (84)", "Won by 31 points", "Subiaco Oval", "18,193", "Guy McKenna", "West Coast" ], [ "20", "Saturday, 13 August 2:10pm", "14.13 (97)", "St Kilda", "13.10 (88)", "Won by 9 points", "Moorabbin Oval", "11,074", "Laurie Keene", "West Coast" ], [ "21", "Sunday, 21 August 7:40pm", "16.15 (111)", "Collingwood", "7.9 (51)", "Won by 60 points", "Subiaco Oval", "36,638", "Karl Langdon", "West Coast" ] ]
[ "Waverley Park" ]
of those, which venue had the highest attendance? || how many people attended those games? | and what were the names of each venue? | what were all of the rounds during the 1988 west coast eagles season?
nt-3076
col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nominated row 4 : 56th golden globe awards | best actor | warren beatty | nominated row 5 : 1998 satellite awards | best actor | warren beatty | nominated row 6 : 1998 writers guild of america awards | best screenplay | warren beatty and jeremy pikser | nominated row 7 : chicago film critics association awards 1998 | best screenplay | warren beatty and jeremy pikser | nominated row 8 : los angeles film critics association | best screenplay (1998) | warren beatty and jeremy pikser | won row 9 : 1998 golden lion awards | best film | bulworth | nominated row 10 : 1999 naacp image awards | outstanding actress | halle berry | nominated row 11 : 1999 naacp image awards | outstanding supporting actor | don cheadle | nominated row 12 : american film institute | 100 years...100 laughs | bulworth | nominated
table_csv/202_75.csv
0
{ "column_index": [ 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 ] }
[ "who were the recipients and nominees from bulworth?" ]
0
warren beatty and jeremy pikser, warren beatty and jeremy pikser, bulworth, warren beatty, warren beatty, warren beatty and jeremy pikser, warren beatty and jeremy pikser, warren beatty and jeremy pikser, bulworth, halle berry, don cheadle, bulworth
[ "Award", "Category", "Recipients and nominees", "Result" ]
who were the recipients and nominees from bulworth?
[ [ "71st Academy Awards", "Best Original Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Picture", "Bulworth", "Nominated" ], [ "56th Golden Globe Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Satellite Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Writers Guild of America Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Chicago Film Critics Association Awards 1998", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Los Angeles Film Critics Association", "Best Screenplay (1998)", "Warren Beatty and Jeremy Pikser", "Won" ], [ "1998 Golden Lion Awards", "Best Film", "Bulworth", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Actress", "Halle Berry", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Supporting Actor", "Don Cheadle", "Nominated" ], [ "American Film Institute", "100 Years...100 Laughs", "Bulworth", "Nominated" ] ]
[ "Warren Beatty and Jeremy Pikser", "Warren Beatty and Jeremy Pikser", "Bulworth", "Warren Beatty", "Warren Beatty", "Warren Beatty and Jeremy Pikser", "Warren Beatty and Jeremy Pikser", "Warren Beatty and Jeremy Pikser", "Bulworth", "Halle Berry", "Don Cheadle", "Bulworth" ]
who were the recipients and nominees from bulworth? ||
nt-3076
col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nominated row 4 : 56th golden globe awards | best actor | warren beatty | nominated row 5 : 1998 satellite awards | best actor | warren beatty | nominated row 6 : 1998 writers guild of america awards | best screenplay | warren beatty and jeremy pikser | nominated row 7 : chicago film critics association awards 1998 | best screenplay | warren beatty and jeremy pikser | nominated row 8 : los angeles film critics association | best screenplay (1998) | warren beatty and jeremy pikser | won row 9 : 1998 golden lion awards | best film | bulworth | nominated row 10 : 1999 naacp image awards | outstanding actress | halle berry | nominated row 11 : 1999 naacp image awards | outstanding supporting actor | don cheadle | nominated row 12 : american film institute | 100 years...100 laughs | bulworth | nominated
table_csv/202_75.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 ] }
[ "who were the recipients and nominees from bulworth?", "under which categories was bulworth considered?" ]
0
best original screenplay, best screenplay, best picture, best actor, best actor, best screenplay, best screenplay, best screenplay (1998), best film, outstanding actress, outstanding supporting actor, 100 years...100 laughs
[ "Award", "Category", "Recipients and nominees", "Result" ]
under which categories was bulworth considered?
[ [ "71st Academy Awards", "Best Original Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Picture", "Bulworth", "Nominated" ], [ "56th Golden Globe Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Satellite Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Writers Guild of America Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Chicago Film Critics Association Awards 1998", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Los Angeles Film Critics Association", "Best Screenplay (1998)", "Warren Beatty and Jeremy Pikser", "Won" ], [ "1998 Golden Lion Awards", "Best Film", "Bulworth", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Actress", "Halle Berry", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Supporting Actor", "Don Cheadle", "Nominated" ], [ "American Film Institute", "100 Years...100 Laughs", "Bulworth", "Nominated" ] ]
[ "Best Original Screenplay", "Best Screenplay", "Best Picture", "Best Actor", "Best Actor", "Best Screenplay", "Best Screenplay", "Best Screenplay (1998)", "Best Film", "Outstanding Actress", "Outstanding Supporting Actor", "100 Years...100 Laughs" ]
under which categories was bulworth considered? || who were the recipients and nominees from bulworth?
nt-3076
col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nominated row 4 : 56th golden globe awards | best actor | warren beatty | nominated row 5 : 1998 satellite awards | best actor | warren beatty | nominated row 6 : 1998 writers guild of america awards | best screenplay | warren beatty and jeremy pikser | nominated row 7 : chicago film critics association awards 1998 | best screenplay | warren beatty and jeremy pikser | nominated row 8 : los angeles film critics association | best screenplay (1998) | warren beatty and jeremy pikser | won row 9 : 1998 golden lion awards | best film | bulworth | nominated row 10 : 1999 naacp image awards | outstanding actress | halle berry | nominated row 11 : 1999 naacp image awards | outstanding supporting actor | don cheadle | nominated row 12 : american film institute | 100 years...100 laughs | bulworth | nominated
table_csv/202_75.csv
2
{ "column_index": [ 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 ] }
[ "who were the recipients and nominees from bulworth?", "under which categories was bulworth considered?", "and what were the results of each category?" ]
0
nominated, nominated, nominated, nominated, nominated, nominated, nominated, won, nominated, nominated, nominated, nominated
[ "Award", "Category", "Recipients and nominees", "Result" ]
and what were the results of each category?
[ [ "71st Academy Awards", "Best Original Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Picture", "Bulworth", "Nominated" ], [ "56th Golden Globe Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Satellite Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Writers Guild of America Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Chicago Film Critics Association Awards 1998", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Los Angeles Film Critics Association", "Best Screenplay (1998)", "Warren Beatty and Jeremy Pikser", "Won" ], [ "1998 Golden Lion Awards", "Best Film", "Bulworth", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Actress", "Halle Berry", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Supporting Actor", "Don Cheadle", "Nominated" ], [ "American Film Institute", "100 Years...100 Laughs", "Bulworth", "Nominated" ] ]
[ "Nominated", "Nominated", "Nominated", "Nominated", "Nominated", "Nominated", "Nominated", "Won", "Nominated", "Nominated", "Nominated", "Nominated" ]
and what were the results of each category? || under which categories was bulworth considered? | who were the recipients and nominees from bulworth?
nt-3076
col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nominated row 4 : 56th golden globe awards | best actor | warren beatty | nominated row 5 : 1998 satellite awards | best actor | warren beatty | nominated row 6 : 1998 writers guild of america awards | best screenplay | warren beatty and jeremy pikser | nominated row 7 : chicago film critics association awards 1998 | best screenplay | warren beatty and jeremy pikser | nominated row 8 : los angeles film critics association | best screenplay (1998) | warren beatty and jeremy pikser | won row 9 : 1998 golden lion awards | best film | bulworth | nominated row 10 : 1999 naacp image awards | outstanding actress | halle berry | nominated row 11 : 1999 naacp image awards | outstanding supporting actor | don cheadle | nominated row 12 : american film institute | 100 years...100 laughs | bulworth | nominated
table_csv/202_75.csv
3
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "who were the recipients and nominees from bulworth?", "under which categories was bulworth considered?", "and what were the results of each category?", "of those results, for which did both warren beatty and jeremy pikser\twin?" ]
0
best screenplay (1998)
[ "Award", "Category", "Recipients and nominees", "Result" ]
of those results, for which did both warren beatty and jeremy pikser win?
[ [ "71st Academy Awards", "Best Original Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Picture", "Bulworth", "Nominated" ], [ "56th Golden Globe Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Satellite Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Writers Guild of America Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Chicago Film Critics Association Awards 1998", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Los Angeles Film Critics Association", "Best Screenplay (1998)", "Warren Beatty and Jeremy Pikser", "Won" ], [ "1998 Golden Lion Awards", "Best Film", "Bulworth", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Actress", "Halle Berry", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Supporting Actor", "Don Cheadle", "Nominated" ], [ "American Film Institute", "100 Years...100 Laughs", "Bulworth", "Nominated" ] ]
[ "Best Screenplay (1998)" ]
of those results, for which did both warren beatty and jeremy pikser win? || and what were the results of each category? | under which categories was bulworth considered? | who were the recipients and nominees from bulworth?
nt-3076
col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nominated row 4 : 56th golden globe awards | best actor | warren beatty | nominated row 5 : 1998 satellite awards | best actor | warren beatty | nominated row 6 : 1998 writers guild of america awards | best screenplay | warren beatty and jeremy pikser | nominated row 7 : chicago film critics association awards 1998 | best screenplay | warren beatty and jeremy pikser | nominated row 8 : los angeles film critics association | best screenplay (1998) | warren beatty and jeremy pikser | won row 9 : 1998 golden lion awards | best film | bulworth | nominated row 10 : 1999 naacp image awards | outstanding actress | halle berry | nominated row 11 : 1999 naacp image awards | outstanding supporting actor | don cheadle | nominated row 12 : american film institute | 100 years...100 laughs | bulworth | nominated
table_csv/202_75.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 3, 4, 5, 6, 7 ] }
[ "which categories did warren beatty or jeremy pikser compete in?" ]
1
best original screenplay, best screenplay, best actor, best actor, best screenplay, best screenplay, best screenplay (1998)
[ "Award", "Category", "Recipients and nominees", "Result" ]
which categories did warren beatty or jeremy pikser compete in?
[ [ "71st Academy Awards", "Best Original Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Picture", "Bulworth", "Nominated" ], [ "56th Golden Globe Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Satellite Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Writers Guild of America Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Chicago Film Critics Association Awards 1998", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Los Angeles Film Critics Association", "Best Screenplay (1998)", "Warren Beatty and Jeremy Pikser", "Won" ], [ "1998 Golden Lion Awards", "Best Film", "Bulworth", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Actress", "Halle Berry", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Supporting Actor", "Don Cheadle", "Nominated" ], [ "American Film Institute", "100 Years...100 Laughs", "Bulworth", "Nominated" ] ]
[ "Best Original Screenplay", "Best Screenplay", "Best Actor", "Best Actor", "Best Screenplay", "Best Screenplay", "Best Screenplay (1998)" ]
which categories did warren beatty or jeremy pikser compete in? ||
nt-3076
col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nominated row 4 : 56th golden globe awards | best actor | warren beatty | nominated row 5 : 1998 satellite awards | best actor | warren beatty | nominated row 6 : 1998 writers guild of america awards | best screenplay | warren beatty and jeremy pikser | nominated row 7 : chicago film critics association awards 1998 | best screenplay | warren beatty and jeremy pikser | nominated row 8 : los angeles film critics association | best screenplay (1998) | warren beatty and jeremy pikser | won row 9 : 1998 golden lion awards | best film | bulworth | nominated row 10 : 1999 naacp image awards | outstanding actress | halle berry | nominated row 11 : 1999 naacp image awards | outstanding supporting actor | don cheadle | nominated row 12 : american film institute | 100 years...100 laughs | bulworth | nominated
table_csv/202_75.csv
1
{ "column_index": [ 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 5, 6, 7 ] }
[ "which categories did warren beatty or jeremy pikser compete in?", "of those, in which ones did they compete together?" ]
1
best original screenplay, best screenplay, best screenplay, best screenplay, best screenplay (1998)
[ "Award", "Category", "Recipients and nominees", "Result" ]
of those, in which ones did they compete together?
[ [ "71st Academy Awards", "Best Original Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Picture", "Bulworth", "Nominated" ], [ "56th Golden Globe Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Satellite Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Writers Guild of America Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Chicago Film Critics Association Awards 1998", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Los Angeles Film Critics Association", "Best Screenplay (1998)", "Warren Beatty and Jeremy Pikser", "Won" ], [ "1998 Golden Lion Awards", "Best Film", "Bulworth", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Actress", "Halle Berry", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Supporting Actor", "Don Cheadle", "Nominated" ], [ "American Film Institute", "100 Years...100 Laughs", "Bulworth", "Nominated" ] ]
[ "Best Original Screenplay", "Best Screenplay", "Best Screenplay", "Best Screenplay", "Best Screenplay (1998)" ]
of those, in which ones did they compete together? || which categories did warren beatty or jeremy pikser compete in?
nt-3076
col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nominated row 4 : 56th golden globe awards | best actor | warren beatty | nominated row 5 : 1998 satellite awards | best actor | warren beatty | nominated row 6 : 1998 writers guild of america awards | best screenplay | warren beatty and jeremy pikser | nominated row 7 : chicago film critics association awards 1998 | best screenplay | warren beatty and jeremy pikser | nominated row 8 : los angeles film critics association | best screenplay (1998) | warren beatty and jeremy pikser | won row 9 : 1998 golden lion awards | best film | bulworth | nominated row 10 : 1999 naacp image awards | outstanding actress | halle berry | nominated row 11 : 1999 naacp image awards | outstanding supporting actor | don cheadle | nominated row 12 : american film institute | 100 years...100 laughs | bulworth | nominated
table_csv/202_75.csv
2
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "which categories did warren beatty or jeremy pikser compete in?", "of those, in which ones did they compete together?", "which one did they win?" ]
1
best screenplay (1998)
[ "Award", "Category", "Recipients and nominees", "Result" ]
which one did they win?
[ [ "71st Academy Awards", "Best Original Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Picture", "Bulworth", "Nominated" ], [ "56th Golden Globe Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Satellite Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Writers Guild of America Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Chicago Film Critics Association Awards 1998", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Los Angeles Film Critics Association", "Best Screenplay (1998)", "Warren Beatty and Jeremy Pikser", "Won" ], [ "1998 Golden Lion Awards", "Best Film", "Bulworth", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Actress", "Halle Berry", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Supporting Actor", "Don Cheadle", "Nominated" ], [ "American Film Institute", "100 Years...100 Laughs", "Bulworth", "Nominated" ] ]
[ "Best Screenplay (1998)" ]
which one did they win? || of those, in which ones did they compete together? | which categories did warren beatty or jeremy pikser compete in?
nt-3076
col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nominated row 4 : 56th golden globe awards | best actor | warren beatty | nominated row 5 : 1998 satellite awards | best actor | warren beatty | nominated row 6 : 1998 writers guild of america awards | best screenplay | warren beatty and jeremy pikser | nominated row 7 : chicago film critics association awards 1998 | best screenplay | warren beatty and jeremy pikser | nominated row 8 : los angeles film critics association | best screenplay (1998) | warren beatty and jeremy pikser | won row 9 : 1998 golden lion awards | best film | bulworth | nominated row 10 : 1999 naacp image awards | outstanding actress | halle berry | nominated row 11 : 1999 naacp image awards | outstanding supporting actor | don cheadle | nominated row 12 : american film institute | 100 years...100 laughs | bulworth | nominated
table_csv/202_75.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ] }
[ "what category has the word best in it?" ]
2
best original screenplay, best screenplay, best picture, best actor, best actor, best screenplay, best screenplay, best screenplay (1998), best film
[ "Award", "Category", "Recipients and nominees", "Result" ]
what category has the word best in it?
[ [ "71st Academy Awards", "Best Original Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Picture", "Bulworth", "Nominated" ], [ "56th Golden Globe Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Satellite Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Writers Guild of America Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Chicago Film Critics Association Awards 1998", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Los Angeles Film Critics Association", "Best Screenplay (1998)", "Warren Beatty and Jeremy Pikser", "Won" ], [ "1998 Golden Lion Awards", "Best Film", "Bulworth", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Actress", "Halle Berry", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Supporting Actor", "Don Cheadle", "Nominated" ], [ "American Film Institute", "100 Years...100 Laughs", "Bulworth", "Nominated" ] ]
[ "Best Original Screenplay", "Best Screenplay", "Best Picture", "Best Actor", "Best Actor", "Best Screenplay", "Best Screenplay", "Best Screenplay (1998)", "Best Film" ]
what category has the word best in it? ||
nt-3076
col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nominated row 4 : 56th golden globe awards | best actor | warren beatty | nominated row 5 : 1998 satellite awards | best actor | warren beatty | nominated row 6 : 1998 writers guild of america awards | best screenplay | warren beatty and jeremy pikser | nominated row 7 : chicago film critics association awards 1998 | best screenplay | warren beatty and jeremy pikser | nominated row 8 : los angeles film critics association | best screenplay (1998) | warren beatty and jeremy pikser | won row 9 : 1998 golden lion awards | best film | bulworth | nominated row 10 : 1999 naacp image awards | outstanding actress | halle berry | nominated row 11 : 1999 naacp image awards | outstanding supporting actor | don cheadle | nominated row 12 : american film institute | 100 years...100 laughs | bulworth | nominated
table_csv/202_75.csv
1
{ "column_index": [ 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 5, 6, 7 ] }
[ "what category has the word best in it?", "of those categories who had warren beatty and jeremy pikser as the recipients and nominees?" ]
2
best original screenplay, best screenplay, best screenplay, best screenplay, best screenplay (1998)
[ "Award", "Category", "Recipients and nominees", "Result" ]
of those categories who had warren beatty and jeremy pikser as the recipients and nominees?
[ [ "71st Academy Awards", "Best Original Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Picture", "Bulworth", "Nominated" ], [ "56th Golden Globe Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Satellite Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Writers Guild of America Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Chicago Film Critics Association Awards 1998", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Los Angeles Film Critics Association", "Best Screenplay (1998)", "Warren Beatty and Jeremy Pikser", "Won" ], [ "1998 Golden Lion Awards", "Best Film", "Bulworth", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Actress", "Halle Berry", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Supporting Actor", "Don Cheadle", "Nominated" ], [ "American Film Institute", "100 Years...100 Laughs", "Bulworth", "Nominated" ] ]
[ "Best Original Screenplay", "Best Screenplay", "Best Screenplay", "Best Screenplay", "Best Screenplay (1998)" ]
of those categories who had warren beatty and jeremy pikser as the recipients and nominees? || what category has the word best in it?
nt-3076
col : award | category | recipients and nominees | result row 1 : 71st academy awards | best original screenplay | warren beatty and jeremy pikser | nominated row 2 : 56th golden globe awards | best screenplay | warren beatty and jeremy pikser | nominated row 3 : 56th golden globe awards | best picture | bulworth | nominated row 4 : 56th golden globe awards | best actor | warren beatty | nominated row 5 : 1998 satellite awards | best actor | warren beatty | nominated row 6 : 1998 writers guild of america awards | best screenplay | warren beatty and jeremy pikser | nominated row 7 : chicago film critics association awards 1998 | best screenplay | warren beatty and jeremy pikser | nominated row 8 : los angeles film critics association | best screenplay (1998) | warren beatty and jeremy pikser | won row 9 : 1998 golden lion awards | best film | bulworth | nominated row 10 : 1999 naacp image awards | outstanding actress | halle berry | nominated row 11 : 1999 naacp image awards | outstanding supporting actor | don cheadle | nominated row 12 : american film institute | 100 years...100 laughs | bulworth | nominated
table_csv/202_75.csv
2
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "what category has the word best in it?", "of those categories who had warren beatty and jeremy pikser as the recipients and nominees?", "of those categories who had a win as a result?" ]
2
best screenplay (1998)
[ "Award", "Category", "Recipients and nominees", "Result" ]
of those categories who had a win as a result?
[ [ "71st Academy Awards", "Best Original Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "56th Golden Globe Awards", "Best Picture", "Bulworth", "Nominated" ], [ "56th Golden Globe Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Satellite Awards", "Best Actor", "Warren Beatty", "Nominated" ], [ "1998 Writers Guild of America Awards", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Chicago Film Critics Association Awards 1998", "Best Screenplay", "Warren Beatty and Jeremy Pikser", "Nominated" ], [ "Los Angeles Film Critics Association", "Best Screenplay (1998)", "Warren Beatty and Jeremy Pikser", "Won" ], [ "1998 Golden Lion Awards", "Best Film", "Bulworth", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Actress", "Halle Berry", "Nominated" ], [ "1999 NAACP Image Awards", "Outstanding Supporting Actor", "Don Cheadle", "Nominated" ], [ "American Film Institute", "100 Years...100 Laughs", "Bulworth", "Nominated" ] ]
[ "Best Screenplay (1998)" ]
of those categories who had a win as a result? || of those categories who had warren beatty and jeremy pikser as the recipients and nominees? | what category has the word best in it?
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what are the listed names?" ]
0
qingxi, ruyi, yintian, daping, yongyi, shaoshan, yanglin
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
what are the listed names?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "Qingxi", "Ruyi", "Yintian", "Daping", "Yongyi", "Shaoshan", "Yanglin" ]
what are the listed names? ||
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 1, 5 ] }
[ "what are the listed names?", "which are ruyi or shaoshan?" ]
0
ruyi, shaoshan
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
which are ruyi or shaoshan?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "Ruyi", "Shaoshan" ]
which are ruyi or shaoshan? || what are the listed names?
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
2
{ "column_index": [ 3, 3 ], "row_index": [ 1, 5 ] }
[ "what are the listed names?", "which are ruyi or shaoshan?", "what are their corresponding areas?" ]
0
33.85, 37.62
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
what are their corresponding areas?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "33.85", "37.62" ]
what are their corresponding areas? || which are ruyi or shaoshan? | what are the listed names?
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
3
{ "column_index": [ 3 ], "row_index": [ 5 ] }
[ "what are the listed names?", "which are ruyi or shaoshan?", "what are their corresponding areas?", "which of those is larger?" ]
0
37.62
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
which of those is larger?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "37.62" ]
which of those is larger? || what are their corresponding areas? | which are ruyi or shaoshan? | what are the listed names?
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
4
{ "column_index": [ 0 ], "row_index": [ 5 ] }
[ "what are the listed names?", "which are ruyi or shaoshan?", "what are their corresponding areas?", "which of those is larger?", "to what name does that area belong?" ]
0
shaoshan
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
to what name does that area belong?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "Shaoshan" ]
to what name does that area belong? || which of those is larger? | what are their corresponding areas? | which are ruyi or shaoshan? | what are the listed names?
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what are the name of the shaoshan?" ]
1
qingxi, ruyi, yintian, daping, yongyi, shaoshan, yanglin
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
what are the name of the shaoshan?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "Qingxi", "Ruyi", "Yintian", "Daping", "Yongyi", "Shaoshan", "Yanglin" ]
what are the name of the shaoshan? ||
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
1
{ "column_index": [ 3 ], "row_index": [ 5 ] }
[ "what are the name of the shaoshan?", "what is the area of shaoshan?" ]
1
37.62
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
what is the area of shaoshan?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "37.62" ]
what is the area of shaoshan? || what are the name of the shaoshan?
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
2
{ "column_index": [ 3 ], "row_index": [ 1 ] }
[ "what are the name of the shaoshan?", "what is the area of shaoshan?", "what is the area of ruyi?" ]
1
33.85
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
what is the area of ruyi?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "33.85" ]
what is the area of ruyi? || what is the area of shaoshan? | what are the name of the shaoshan?
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
3
{ "column_index": [ 0 ], "row_index": [ 5 ] }
[ "what are the name of the shaoshan?", "what is the area of shaoshan?", "what is the area of ruyi?", "which has the larger area?" ]
1
shaoshan
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
which has the larger area?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "Shaoshan" ]
which has the larger area? || what is the area of ruyi? | what is the area of shaoshan? | what are the name of the shaoshan?
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what are all the names?" ]
2
qingxi, ruyi, yintian, daping, yongyi, shaoshan, yanglin
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
what are all the names?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "Qingxi", "Ruyi", "Yintian", "Daping", "Yongyi", "Shaoshan", "Yanglin" ]
what are all the names? ||
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
1
{ "column_index": [ 3 ], "row_index": [ 1 ] }
[ "what are all the names?", "what is the area of ruyi?" ]
2
33.85
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
what is the area of ruyi?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "33.85" ]
what is the area of ruyi? || what are all the names?
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
2
{ "column_index": [ 3 ], "row_index": [ 5 ] }
[ "what are all the names?", "what is the area of ruyi?", "what is the area of shaoshan?" ]
2
37.62
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
what is the area of shaoshan?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "37.62" ]
what is the area of shaoshan? || what is the area of ruyi? | what are all the names?
ns-21
col : name | hanzi | population (2005) | area (km2) row 1 : qingxi | qing xi zhen | 20,000 | 2.9 row 2 : ruyi | ru yi zhen | 15,100 | 33.85 row 3 : yintian | yin tian zhen | 19,500 | 28.0 row 4 : daping | da ping xiang | 14,300 | 32.0 row 5 : yongyi | yong yi xiang | 10,600 | 24.0 row 6 : shaoshan | shao shan xiang | 14,700 | 37.62 row 7 : yanglin | yang lin xiang | 20,600 | 58.8
table_csv/204_891.csv
3
{ "column_index": [ 0 ], "row_index": [ 5 ] }
[ "what are all the names?", "what is the area of ruyi?", "what is the area of shaoshan?", "which one of those two is bigger?" ]
2
shaoshan
[ "Name", "Hanzi", "Population (2005)", "Area (Km2)" ]
which one of those two is bigger?
[ [ "Qingxi", "Qing Xi Zhen", "20,000", "2.9" ], [ "Ruyi", "Ru Yi Zhen", "15,100", "33.85" ], [ "Yintian", "Yin Tian Zhen", "19,500", "28.0" ], [ "Daping", "Da Ping Xiang", "14,300", "32.0" ], [ "Yongyi", "Yong Yi Xiang", "10,600", "24.0" ], [ "Shaoshan", "Shao Shan Xiang", "14,700", "37.62" ], [ "Yanglin", "Yang Lin Xiang", "20,600", "58.8" ] ]
[ "Shaoshan" ]
which one of those two is bigger? || what is the area of shaoshan? | what is the area of ruyi? | what are all the names?
nt-9001
col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | nan row 8 : 8 | 1 | adrienne power | canada | 23.62 | nan row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | nan row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | nan row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | nan row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | nan row 15 : 15 | 2 | kim wall | great britain | 24.31 | nan row 16 : 16 | 1 | doris tomasini | italy | 24.4 | nan
table_csv/204_155.csv
0
{ "column_index": [ 4 ], "row_index": [ 7 ] }
[ "what is adrienne power's time?" ]
0
23.62
[ "Rank", "Heat", "Athlete", "Nationality", "Time", "Notes" ]
what is adrienne power's time?
[ [ "1", "1", "Natalya Ivanova", "Russia", "23.11", "Q" ], [ "2", "1", "Elodie Ouedraogo", "Belgium", "23.23", "Q" ], [ "3", "2", "Yelena Yakovleva", "Russia", "23.37", "Q" ], [ "4", "1", "Monika Bejnar", "Poland", "23.39", "Q, SB" ], [ "5", "1", "Nataliya Pyhyda", "Ukraine", "23.4", "Q, SB" ], [ "6", "2", "LaVerne Jones-Ferrette", "United States Virgin Islands", "23.49", "Q" ], [ "7", "1", "Alena Neumiarzhitskaya", "Belarus", "23.52", "nan" ], [ "8", "1", "Adrienne Power", "Canada", "23.62", "nan" ], [ "9", "2", "Grazyna Prokopek", "Poland", "23.69", "Q" ], [ "10", "2", "Nikolett Listar", "Hungary", "23.87", "Q" ], [ "11", "2", "Emily Maher", "Ireland", "23.89", "nan" ], [ "12", "1", "Ruth Grajeda", "Mexico", "23.96", "nan" ], [ "13", "2", "Edita Kavaliauskiene", "Lithuania", "24.09", "nan" ], [ "14", "2", "Raquel da Costa", "Brazil", "24.18", "nan" ], [ "15", "2", "Kim Wall", "Great Britain", "24.31", "nan" ], [ "16", "1", "Doris Tomasini", "Italy", "24.4", "nan" ] ]
[ "23.62" ]
what is adrienne power's time? ||
nt-9001
col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | nan row 8 : 8 | 1 | adrienne power | canada | 23.62 | nan row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | nan row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | nan row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | nan row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | nan row 15 : 15 | 2 | kim wall | great britain | 24.31 | nan row 16 : 16 | 1 | doris tomasini | italy | 24.4 | nan
table_csv/204_155.csv
1
{ "column_index": [ 4 ], "row_index": [ 14 ] }
[ "what is adrienne power's time?", "what is kim wall's time" ]
0
24.31
[ "Rank", "Heat", "Athlete", "Nationality", "Time", "Notes" ]
what is kim wall's time
[ [ "1", "1", "Natalya Ivanova", "Russia", "23.11", "Q" ], [ "2", "1", "Elodie Ouedraogo", "Belgium", "23.23", "Q" ], [ "3", "2", "Yelena Yakovleva", "Russia", "23.37", "Q" ], [ "4", "1", "Monika Bejnar", "Poland", "23.39", "Q, SB" ], [ "5", "1", "Nataliya Pyhyda", "Ukraine", "23.4", "Q, SB" ], [ "6", "2", "LaVerne Jones-Ferrette", "United States Virgin Islands", "23.49", "Q" ], [ "7", "1", "Alena Neumiarzhitskaya", "Belarus", "23.52", "nan" ], [ "8", "1", "Adrienne Power", "Canada", "23.62", "nan" ], [ "9", "2", "Grazyna Prokopek", "Poland", "23.69", "Q" ], [ "10", "2", "Nikolett Listar", "Hungary", "23.87", "Q" ], [ "11", "2", "Emily Maher", "Ireland", "23.89", "nan" ], [ "12", "1", "Ruth Grajeda", "Mexico", "23.96", "nan" ], [ "13", "2", "Edita Kavaliauskiene", "Lithuania", "24.09", "nan" ], [ "14", "2", "Raquel da Costa", "Brazil", "24.18", "nan" ], [ "15", "2", "Kim Wall", "Great Britain", "24.31", "nan" ], [ "16", "1", "Doris Tomasini", "Italy", "24.4", "nan" ] ]
[ "24.31" ]
what is kim wall's time || what is adrienne power's time?
nt-9001
col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | nan row 8 : 8 | 1 | adrienne power | canada | 23.62 | nan row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | nan row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | nan row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | nan row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | nan row 15 : 15 | 2 | kim wall | great britain | 24.31 | nan row 16 : 16 | 1 | doris tomasini | italy | 24.4 | nan
table_csv/204_155.csv
2
{ "column_index": [ 4 ], "row_index": [ 7 ] }
[ "what is adrienne power's time?", "what is kim wall's time", "of the two, which is smaller?" ]
0
23.62
[ "Rank", "Heat", "Athlete", "Nationality", "Time", "Notes" ]
of the two, which is smaller?
[ [ "1", "1", "Natalya Ivanova", "Russia", "23.11", "Q" ], [ "2", "1", "Elodie Ouedraogo", "Belgium", "23.23", "Q" ], [ "3", "2", "Yelena Yakovleva", "Russia", "23.37", "Q" ], [ "4", "1", "Monika Bejnar", "Poland", "23.39", "Q, SB" ], [ "5", "1", "Nataliya Pyhyda", "Ukraine", "23.4", "Q, SB" ], [ "6", "2", "LaVerne Jones-Ferrette", "United States Virgin Islands", "23.49", "Q" ], [ "7", "1", "Alena Neumiarzhitskaya", "Belarus", "23.52", "nan" ], [ "8", "1", "Adrienne Power", "Canada", "23.62", "nan" ], [ "9", "2", "Grazyna Prokopek", "Poland", "23.69", "Q" ], [ "10", "2", "Nikolett Listar", "Hungary", "23.87", "Q" ], [ "11", "2", "Emily Maher", "Ireland", "23.89", "nan" ], [ "12", "1", "Ruth Grajeda", "Mexico", "23.96", "nan" ], [ "13", "2", "Edita Kavaliauskiene", "Lithuania", "24.09", "nan" ], [ "14", "2", "Raquel da Costa", "Brazil", "24.18", "nan" ], [ "15", "2", "Kim Wall", "Great Britain", "24.31", "nan" ], [ "16", "1", "Doris Tomasini", "Italy", "24.4", "nan" ] ]
[ "23.62" ]
of the two, which is smaller? || what is kim wall's time | what is adrienne power's time?
nt-9001
col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | nan row 8 : 8 | 1 | adrienne power | canada | 23.62 | nan row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | nan row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | nan row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | nan row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | nan row 15 : 15 | 2 | kim wall | great britain | 24.31 | nan row 16 : 16 | 1 | doris tomasini | italy | 24.4 | nan
table_csv/204_155.csv
3
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "what is adrienne power's time?", "what is kim wall's time", "of the two, which is smaller?", "which athlete has this time?" ]
0
adrienne power
[ "Rank", "Heat", "Athlete", "Nationality", "Time", "Notes" ]
which athlete has this time?
[ [ "1", "1", "Natalya Ivanova", "Russia", "23.11", "Q" ], [ "2", "1", "Elodie Ouedraogo", "Belgium", "23.23", "Q" ], [ "3", "2", "Yelena Yakovleva", "Russia", "23.37", "Q" ], [ "4", "1", "Monika Bejnar", "Poland", "23.39", "Q, SB" ], [ "5", "1", "Nataliya Pyhyda", "Ukraine", "23.4", "Q, SB" ], [ "6", "2", "LaVerne Jones-Ferrette", "United States Virgin Islands", "23.49", "Q" ], [ "7", "1", "Alena Neumiarzhitskaya", "Belarus", "23.52", "nan" ], [ "8", "1", "Adrienne Power", "Canada", "23.62", "nan" ], [ "9", "2", "Grazyna Prokopek", "Poland", "23.69", "Q" ], [ "10", "2", "Nikolett Listar", "Hungary", "23.87", "Q" ], [ "11", "2", "Emily Maher", "Ireland", "23.89", "nan" ], [ "12", "1", "Ruth Grajeda", "Mexico", "23.96", "nan" ], [ "13", "2", "Edita Kavaliauskiene", "Lithuania", "24.09", "nan" ], [ "14", "2", "Raquel da Costa", "Brazil", "24.18", "nan" ], [ "15", "2", "Kim Wall", "Great Britain", "24.31", "nan" ], [ "16", "1", "Doris Tomasini", "Italy", "24.4", "nan" ] ]
[ "Adrienne Power" ]
which athlete has this time? || of the two, which is smaller? | what is kim wall's time | what is adrienne power's time?
nt-9001
col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | nan row 8 : 8 | 1 | adrienne power | canada | 23.62 | nan row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | nan row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | nan row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | nan row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | nan row 15 : 15 | 2 | kim wall | great britain | 24.31 | nan row 16 : 16 | 1 | doris tomasini | italy | 24.4 | nan
table_csv/204_155.csv
0
{ "column_index": [ 4 ], "row_index": [ 7 ] }
[ "what was adrienne power's time?" ]
1
23.62
[ "Rank", "Heat", "Athlete", "Nationality", "Time", "Notes" ]
what was adrienne power's time?
[ [ "1", "1", "Natalya Ivanova", "Russia", "23.11", "Q" ], [ "2", "1", "Elodie Ouedraogo", "Belgium", "23.23", "Q" ], [ "3", "2", "Yelena Yakovleva", "Russia", "23.37", "Q" ], [ "4", "1", "Monika Bejnar", "Poland", "23.39", "Q, SB" ], [ "5", "1", "Nataliya Pyhyda", "Ukraine", "23.4", "Q, SB" ], [ "6", "2", "LaVerne Jones-Ferrette", "United States Virgin Islands", "23.49", "Q" ], [ "7", "1", "Alena Neumiarzhitskaya", "Belarus", "23.52", "nan" ], [ "8", "1", "Adrienne Power", "Canada", "23.62", "nan" ], [ "9", "2", "Grazyna Prokopek", "Poland", "23.69", "Q" ], [ "10", "2", "Nikolett Listar", "Hungary", "23.87", "Q" ], [ "11", "2", "Emily Maher", "Ireland", "23.89", "nan" ], [ "12", "1", "Ruth Grajeda", "Mexico", "23.96", "nan" ], [ "13", "2", "Edita Kavaliauskiene", "Lithuania", "24.09", "nan" ], [ "14", "2", "Raquel da Costa", "Brazil", "24.18", "nan" ], [ "15", "2", "Kim Wall", "Great Britain", "24.31", "nan" ], [ "16", "1", "Doris Tomasini", "Italy", "24.4", "nan" ] ]
[ "23.62" ]
what was adrienne power's time? ||
nt-9001
col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | nan row 8 : 8 | 1 | adrienne power | canada | 23.62 | nan row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | nan row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | nan row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | nan row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | nan row 15 : 15 | 2 | kim wall | great britain | 24.31 | nan row 16 : 16 | 1 | doris tomasini | italy | 24.4 | nan
table_csv/204_155.csv
1
{ "column_index": [ 4 ], "row_index": [ 14 ] }
[ "what was adrienne power's time?", "what was kim wall's time?" ]
1
24.31
[ "Rank", "Heat", "Athlete", "Nationality", "Time", "Notes" ]
what was kim wall's time?
[ [ "1", "1", "Natalya Ivanova", "Russia", "23.11", "Q" ], [ "2", "1", "Elodie Ouedraogo", "Belgium", "23.23", "Q" ], [ "3", "2", "Yelena Yakovleva", "Russia", "23.37", "Q" ], [ "4", "1", "Monika Bejnar", "Poland", "23.39", "Q, SB" ], [ "5", "1", "Nataliya Pyhyda", "Ukraine", "23.4", "Q, SB" ], [ "6", "2", "LaVerne Jones-Ferrette", "United States Virgin Islands", "23.49", "Q" ], [ "7", "1", "Alena Neumiarzhitskaya", "Belarus", "23.52", "nan" ], [ "8", "1", "Adrienne Power", "Canada", "23.62", "nan" ], [ "9", "2", "Grazyna Prokopek", "Poland", "23.69", "Q" ], [ "10", "2", "Nikolett Listar", "Hungary", "23.87", "Q" ], [ "11", "2", "Emily Maher", "Ireland", "23.89", "nan" ], [ "12", "1", "Ruth Grajeda", "Mexico", "23.96", "nan" ], [ "13", "2", "Edita Kavaliauskiene", "Lithuania", "24.09", "nan" ], [ "14", "2", "Raquel da Costa", "Brazil", "24.18", "nan" ], [ "15", "2", "Kim Wall", "Great Britain", "24.31", "nan" ], [ "16", "1", "Doris Tomasini", "Italy", "24.4", "nan" ] ]
[ "24.31" ]
what was kim wall's time? || what was adrienne power's time?
nt-9001
col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | nan row 8 : 8 | 1 | adrienne power | canada | 23.62 | nan row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | nan row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | nan row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | nan row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | nan row 15 : 15 | 2 | kim wall | great britain | 24.31 | nan row 16 : 16 | 1 | doris tomasini | italy | 24.4 | nan
table_csv/204_155.csv
2
{ "column_index": [ 4 ], "row_index": [ 7 ] }
[ "what was adrienne power's time?", "what was kim wall's time?", "which of these numbers is smaller?" ]
1
23.62
[ "Rank", "Heat", "Athlete", "Nationality", "Time", "Notes" ]
which of these numbers is smaller?
[ [ "1", "1", "Natalya Ivanova", "Russia", "23.11", "Q" ], [ "2", "1", "Elodie Ouedraogo", "Belgium", "23.23", "Q" ], [ "3", "2", "Yelena Yakovleva", "Russia", "23.37", "Q" ], [ "4", "1", "Monika Bejnar", "Poland", "23.39", "Q, SB" ], [ "5", "1", "Nataliya Pyhyda", "Ukraine", "23.4", "Q, SB" ], [ "6", "2", "LaVerne Jones-Ferrette", "United States Virgin Islands", "23.49", "Q" ], [ "7", "1", "Alena Neumiarzhitskaya", "Belarus", "23.52", "nan" ], [ "8", "1", "Adrienne Power", "Canada", "23.62", "nan" ], [ "9", "2", "Grazyna Prokopek", "Poland", "23.69", "Q" ], [ "10", "2", "Nikolett Listar", "Hungary", "23.87", "Q" ], [ "11", "2", "Emily Maher", "Ireland", "23.89", "nan" ], [ "12", "1", "Ruth Grajeda", "Mexico", "23.96", "nan" ], [ "13", "2", "Edita Kavaliauskiene", "Lithuania", "24.09", "nan" ], [ "14", "2", "Raquel da Costa", "Brazil", "24.18", "nan" ], [ "15", "2", "Kim Wall", "Great Britain", "24.31", "nan" ], [ "16", "1", "Doris Tomasini", "Italy", "24.4", "nan" ] ]
[ "23.62" ]
which of these numbers is smaller? || what was kim wall's time? | what was adrienne power's time?
nt-9001
col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | nan row 8 : 8 | 1 | adrienne power | canada | 23.62 | nan row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | nan row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | nan row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | nan row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | nan row 15 : 15 | 2 | kim wall | great britain | 24.31 | nan row 16 : 16 | 1 | doris tomasini | italy | 24.4 | nan
table_csv/204_155.csv
3
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "what was adrienne power's time?", "what was kim wall's time?", "which of these numbers is smaller?", "who had this smaller time?" ]
1
adrienne power
[ "Rank", "Heat", "Athlete", "Nationality", "Time", "Notes" ]
who had this smaller time?
[ [ "1", "1", "Natalya Ivanova", "Russia", "23.11", "Q" ], [ "2", "1", "Elodie Ouedraogo", "Belgium", "23.23", "Q" ], [ "3", "2", "Yelena Yakovleva", "Russia", "23.37", "Q" ], [ "4", "1", "Monika Bejnar", "Poland", "23.39", "Q, SB" ], [ "5", "1", "Nataliya Pyhyda", "Ukraine", "23.4", "Q, SB" ], [ "6", "2", "LaVerne Jones-Ferrette", "United States Virgin Islands", "23.49", "Q" ], [ "7", "1", "Alena Neumiarzhitskaya", "Belarus", "23.52", "nan" ], [ "8", "1", "Adrienne Power", "Canada", "23.62", "nan" ], [ "9", "2", "Grazyna Prokopek", "Poland", "23.69", "Q" ], [ "10", "2", "Nikolett Listar", "Hungary", "23.87", "Q" ], [ "11", "2", "Emily Maher", "Ireland", "23.89", "nan" ], [ "12", "1", "Ruth Grajeda", "Mexico", "23.96", "nan" ], [ "13", "2", "Edita Kavaliauskiene", "Lithuania", "24.09", "nan" ], [ "14", "2", "Raquel da Costa", "Brazil", "24.18", "nan" ], [ "15", "2", "Kim Wall", "Great Britain", "24.31", "nan" ], [ "16", "1", "Doris Tomasini", "Italy", "24.4", "nan" ] ]
[ "Adrienne Power" ]
who had this smaller time? || which of these numbers is smaller? | what was kim wall's time? | what was adrienne power's time?
nt-9001
col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | nan row 8 : 8 | 1 | adrienne power | canada | 23.62 | nan row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | nan row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | nan row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | nan row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | nan row 15 : 15 | 2 | kim wall | great britain | 24.31 | nan row 16 : 16 | 1 | doris tomasini | italy | 24.4 | nan
table_csv/204_155.csv
0
{ "column_index": [ 4 ], "row_index": [ 7 ] }
[ "what is the time for adrienne power?" ]
2
23.62
[ "Rank", "Heat", "Athlete", "Nationality", "Time", "Notes" ]
what is the time for adrienne power?
[ [ "1", "1", "Natalya Ivanova", "Russia", "23.11", "Q" ], [ "2", "1", "Elodie Ouedraogo", "Belgium", "23.23", "Q" ], [ "3", "2", "Yelena Yakovleva", "Russia", "23.37", "Q" ], [ "4", "1", "Monika Bejnar", "Poland", "23.39", "Q, SB" ], [ "5", "1", "Nataliya Pyhyda", "Ukraine", "23.4", "Q, SB" ], [ "6", "2", "LaVerne Jones-Ferrette", "United States Virgin Islands", "23.49", "Q" ], [ "7", "1", "Alena Neumiarzhitskaya", "Belarus", "23.52", "nan" ], [ "8", "1", "Adrienne Power", "Canada", "23.62", "nan" ], [ "9", "2", "Grazyna Prokopek", "Poland", "23.69", "Q" ], [ "10", "2", "Nikolett Listar", "Hungary", "23.87", "Q" ], [ "11", "2", "Emily Maher", "Ireland", "23.89", "nan" ], [ "12", "1", "Ruth Grajeda", "Mexico", "23.96", "nan" ], [ "13", "2", "Edita Kavaliauskiene", "Lithuania", "24.09", "nan" ], [ "14", "2", "Raquel da Costa", "Brazil", "24.18", "nan" ], [ "15", "2", "Kim Wall", "Great Britain", "24.31", "nan" ], [ "16", "1", "Doris Tomasini", "Italy", "24.4", "nan" ] ]
[ "23.62" ]
what is the time for adrienne power? ||
nt-9001
col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | nan row 8 : 8 | 1 | adrienne power | canada | 23.62 | nan row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | nan row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | nan row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | nan row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | nan row 15 : 15 | 2 | kim wall | great britain | 24.31 | nan row 16 : 16 | 1 | doris tomasini | italy | 24.4 | nan
table_csv/204_155.csv
1
{ "column_index": [ 4 ], "row_index": [ 14 ] }
[ "what is the time for adrienne power?", "what is the time for kim wall?" ]
2
24.31
[ "Rank", "Heat", "Athlete", "Nationality", "Time", "Notes" ]
what is the time for kim wall?
[ [ "1", "1", "Natalya Ivanova", "Russia", "23.11", "Q" ], [ "2", "1", "Elodie Ouedraogo", "Belgium", "23.23", "Q" ], [ "3", "2", "Yelena Yakovleva", "Russia", "23.37", "Q" ], [ "4", "1", "Monika Bejnar", "Poland", "23.39", "Q, SB" ], [ "5", "1", "Nataliya Pyhyda", "Ukraine", "23.4", "Q, SB" ], [ "6", "2", "LaVerne Jones-Ferrette", "United States Virgin Islands", "23.49", "Q" ], [ "7", "1", "Alena Neumiarzhitskaya", "Belarus", "23.52", "nan" ], [ "8", "1", "Adrienne Power", "Canada", "23.62", "nan" ], [ "9", "2", "Grazyna Prokopek", "Poland", "23.69", "Q" ], [ "10", "2", "Nikolett Listar", "Hungary", "23.87", "Q" ], [ "11", "2", "Emily Maher", "Ireland", "23.89", "nan" ], [ "12", "1", "Ruth Grajeda", "Mexico", "23.96", "nan" ], [ "13", "2", "Edita Kavaliauskiene", "Lithuania", "24.09", "nan" ], [ "14", "2", "Raquel da Costa", "Brazil", "24.18", "nan" ], [ "15", "2", "Kim Wall", "Great Britain", "24.31", "nan" ], [ "16", "1", "Doris Tomasini", "Italy", "24.4", "nan" ] ]
[ "24.31" ]
what is the time for kim wall? || what is the time for adrienne power?
nt-9001
col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | nan row 8 : 8 | 1 | adrienne power | canada | 23.62 | nan row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | nan row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | nan row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | nan row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | nan row 15 : 15 | 2 | kim wall | great britain | 24.31 | nan row 16 : 16 | 1 | doris tomasini | italy | 24.4 | nan
table_csv/204_155.csv
2
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "what is the time for adrienne power?", "what is the time for kim wall?", "of those two, which had the faster time?" ]
2
adrienne power
[ "Rank", "Heat", "Athlete", "Nationality", "Time", "Notes" ]
of those two, which had the faster time?
[ [ "1", "1", "Natalya Ivanova", "Russia", "23.11", "Q" ], [ "2", "1", "Elodie Ouedraogo", "Belgium", "23.23", "Q" ], [ "3", "2", "Yelena Yakovleva", "Russia", "23.37", "Q" ], [ "4", "1", "Monika Bejnar", "Poland", "23.39", "Q, SB" ], [ "5", "1", "Nataliya Pyhyda", "Ukraine", "23.4", "Q, SB" ], [ "6", "2", "LaVerne Jones-Ferrette", "United States Virgin Islands", "23.49", "Q" ], [ "7", "1", "Alena Neumiarzhitskaya", "Belarus", "23.52", "nan" ], [ "8", "1", "Adrienne Power", "Canada", "23.62", "nan" ], [ "9", "2", "Grazyna Prokopek", "Poland", "23.69", "Q" ], [ "10", "2", "Nikolett Listar", "Hungary", "23.87", "Q" ], [ "11", "2", "Emily Maher", "Ireland", "23.89", "nan" ], [ "12", "1", "Ruth Grajeda", "Mexico", "23.96", "nan" ], [ "13", "2", "Edita Kavaliauskiene", "Lithuania", "24.09", "nan" ], [ "14", "2", "Raquel da Costa", "Brazil", "24.18", "nan" ], [ "15", "2", "Kim Wall", "Great Britain", "24.31", "nan" ], [ "16", "1", "Doris Tomasini", "Italy", "24.4", "nan" ] ]
[ "Adrienne Power" ]
of those two, which had the faster time? || what is the time for kim wall? | what is the time for adrienne power?
nt-9006
col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | galina zybina | soviet union | 17.45 metres | 17.38 | 17.25 | 17.45 | 17.42 | 16.65 | 17.36 row 4 : 4 | valerie young | new zealand | 17.26 metres | 17.08 | 15.84 | 16.81 | 17.26 | 17.24 | 17.23 row 5 : 5 | margitta helmbold | germany | 16.91 metres | 16.67 | 15.87 | x | 16.6 | 16.91 | 16.34 row 6 : 6 | irina press | soviet union | 16.71 metres | x | 16.50 | x | 15.81 | 15.78 | 16.71 row 7 : 7 | nancy mccredie | canada | 15.89 metres | 15.89 | 15.13 | 15.27 | nan | nan | nan row 8 : 8 | ana salagean | romania | 15.83 metres | 15.79 | 15.83 | 15.70 | nan | nan | nan row 9 : 9 | johanna hubner | germany | 15.77 metres | 15.77 | x | x | nan | nan | nan row 10 : 10 | ivanka khristova | bulgaria | 15.69 metres | 15.69 | x | 15.35 | nan | nan | nan row 11 : 11 | judit bognar | hungary | 15.65 metres | 15.65 | x | x | nan | nan | nan row 12 : 12 | earlene brown | united states | 14.80 metres | 14.25 | 13.43 | 14.80 | nan | nan | nan
table_csv/203_865.csv
0
{ "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 athletes participated in the 1964 summer olympics - women's shot put?" ]
0
tamara press, renate culmberger, galina zybina, valerie young, margitta helmbold, irina press, nancy mccredie, ana salagean, johanna hubner, ivanka khristova, judit bognar, earlene brown
[ "Place", "Athlete", "Nation", "Best mark", "Throw 1", "Throw 2", "Throw 3", "Throw 4", "Throw 5", "Throw 6" ]
which athletes participated in the 1964 summer olympics - women's shot put?
[ [ "1", "Tamara Press", "Soviet Union", "18.14 metres OR", "17.51", "17.72", "17.18", "16.49", "X", "18.14" ], [ "2", "Renate Culmberger", "Germany", "17.61 metres", "17.41", "17.10", "16.38", "17.61", "17.00", "17.01" ], [ "3", "Galina Zybina", "Soviet Union", "17.45 metres", "17.38", "17.25", "17.45", "17.42", "16.65", "17.36" ], [ "4", "Valerie Young", "New Zealand", "17.26 metres", "17.08", "15.84", "16.81", "17.26", "17.24", "17.23" ], [ "5", "Margitta Helmbold", "Germany", "16.91 metres", "16.67", "15.87", "X", "16.6", "16.91", "16.34" ], [ "6", "Irina Press", "Soviet Union", "16.71 metres", "X", "16.50", "X", "15.81", "15.78", "16.71" ], [ "7", "Nancy McCredie", "Canada", "15.89 metres", "15.89", "15.13", "15.27", "nan", "nan", "nan" ], [ "8", "Ana Salagean", "Romania", "15.83 metres", "15.79", "15.83", "15.70", "nan", "nan", "nan" ], [ "9", "Johanna Hubner", "Germany", "15.77 metres", "15.77", "X", "X", "nan", "nan", "nan" ], [ "10", "Ivanka Khristova", "Bulgaria", "15.69 metres", "15.69", "X", "15.35", "nan", "nan", "nan" ], [ "11", "Judit Bognar", "Hungary", "15.65 metres", "15.65", "X", "X", "nan", "nan", "nan" ], [ "12", "Earlene Brown", "United States", "14.80 metres", "14.25", "13.43", "14.80", "nan", "nan", "nan" ] ]
[ "Tamara Press", "Renate Culmberger", "Galina Zybina", "Valerie Young", "Margitta Helmbold", "Irina Press", "Nancy McCredie", "Ana Salagean", "Johanna Hubner", "Ivanka Khristova", "Judit Bognar", "Earlene Brown" ]
which athletes participated in the 1964 summer olympics - women's shot put? ||
nt-9006
col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | galina zybina | soviet union | 17.45 metres | 17.38 | 17.25 | 17.45 | 17.42 | 16.65 | 17.36 row 4 : 4 | valerie young | new zealand | 17.26 metres | 17.08 | 15.84 | 16.81 | 17.26 | 17.24 | 17.23 row 5 : 5 | margitta helmbold | germany | 16.91 metres | 16.67 | 15.87 | x | 16.6 | 16.91 | 16.34 row 6 : 6 | irina press | soviet union | 16.71 metres | x | 16.50 | x | 15.81 | 15.78 | 16.71 row 7 : 7 | nancy mccredie | canada | 15.89 metres | 15.89 | 15.13 | 15.27 | nan | nan | nan row 8 : 8 | ana salagean | romania | 15.83 metres | 15.79 | 15.83 | 15.70 | nan | nan | nan row 9 : 9 | johanna hubner | germany | 15.77 metres | 15.77 | x | x | nan | nan | nan row 10 : 10 | ivanka khristova | bulgaria | 15.69 metres | 15.69 | x | 15.35 | nan | nan | nan row 11 : 11 | judit bognar | hungary | 15.65 metres | 15.65 | x | x | nan | nan | nan row 12 : 12 | earlene brown | united states | 14.80 metres | 14.25 | 13.43 | 14.80 | nan | nan | nan
table_csv/203_865.csv
1
{ "column_index": [ 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3 ] }
[ "which athletes participated in the 1964 summer olympics - women's shot put?", "of these, which threw over 17 meters?" ]
0
tamara press, renate culmberger, galina zybina, valerie young
[ "Place", "Athlete", "Nation", "Best mark", "Throw 1", "Throw 2", "Throw 3", "Throw 4", "Throw 5", "Throw 6" ]
of these, which threw over 17 meters?
[ [ "1", "Tamara Press", "Soviet Union", "18.14 metres OR", "17.51", "17.72", "17.18", "16.49", "X", "18.14" ], [ "2", "Renate Culmberger", "Germany", "17.61 metres", "17.41", "17.10", "16.38", "17.61", "17.00", "17.01" ], [ "3", "Galina Zybina", "Soviet Union", "17.45 metres", "17.38", "17.25", "17.45", "17.42", "16.65", "17.36" ], [ "4", "Valerie Young", "New Zealand", "17.26 metres", "17.08", "15.84", "16.81", "17.26", "17.24", "17.23" ], [ "5", "Margitta Helmbold", "Germany", "16.91 metres", "16.67", "15.87", "X", "16.6", "16.91", "16.34" ], [ "6", "Irina Press", "Soviet Union", "16.71 metres", "X", "16.50", "X", "15.81", "15.78", "16.71" ], [ "7", "Nancy McCredie", "Canada", "15.89 metres", "15.89", "15.13", "15.27", "nan", "nan", "nan" ], [ "8", "Ana Salagean", "Romania", "15.83 metres", "15.79", "15.83", "15.70", "nan", "nan", "nan" ], [ "9", "Johanna Hubner", "Germany", "15.77 metres", "15.77", "X", "X", "nan", "nan", "nan" ], [ "10", "Ivanka Khristova", "Bulgaria", "15.69 metres", "15.69", "X", "15.35", "nan", "nan", "nan" ], [ "11", "Judit Bognar", "Hungary", "15.65 metres", "15.65", "X", "X", "nan", "nan", "nan" ], [ "12", "Earlene Brown", "United States", "14.80 metres", "14.25", "13.43", "14.80", "nan", "nan", "nan" ] ]
[ "Tamara Press", "Renate Culmberger", "Galina Zybina", "Valerie Young" ]
of these, which threw over 17 meters? || which athletes participated in the 1964 summer olympics - women's shot put?
nt-9006
col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | galina zybina | soviet union | 17.45 metres | 17.38 | 17.25 | 17.45 | 17.42 | 16.65 | 17.36 row 4 : 4 | valerie young | new zealand | 17.26 metres | 17.08 | 15.84 | 16.81 | 17.26 | 17.24 | 17.23 row 5 : 5 | margitta helmbold | germany | 16.91 metres | 16.67 | 15.87 | x | 16.6 | 16.91 | 16.34 row 6 : 6 | irina press | soviet union | 16.71 metres | x | 16.50 | x | 15.81 | 15.78 | 16.71 row 7 : 7 | nancy mccredie | canada | 15.89 metres | 15.89 | 15.13 | 15.27 | nan | nan | nan row 8 : 8 | ana salagean | romania | 15.83 metres | 15.79 | 15.83 | 15.70 | nan | nan | nan row 9 : 9 | johanna hubner | germany | 15.77 metres | 15.77 | x | x | nan | nan | nan row 10 : 10 | ivanka khristova | bulgaria | 15.69 metres | 15.69 | x | 15.35 | nan | nan | nan row 11 : 11 | judit bognar | hungary | 15.65 metres | 15.65 | x | x | nan | nan | nan row 12 : 12 | earlene brown | united states | 14.80 metres | 14.25 | 13.43 | 14.80 | nan | nan | nan
table_csv/203_865.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which athletes participated in the 1964 summer olympics - women's shot put?", "of these, which threw over 17 meters?", "who threw the farthest of these?" ]
0
tamara press
[ "Place", "Athlete", "Nation", "Best mark", "Throw 1", "Throw 2", "Throw 3", "Throw 4", "Throw 5", "Throw 6" ]
who threw the farthest of these?
[ [ "1", "Tamara Press", "Soviet Union", "18.14 metres OR", "17.51", "17.72", "17.18", "16.49", "X", "18.14" ], [ "2", "Renate Culmberger", "Germany", "17.61 metres", "17.41", "17.10", "16.38", "17.61", "17.00", "17.01" ], [ "3", "Galina Zybina", "Soviet Union", "17.45 metres", "17.38", "17.25", "17.45", "17.42", "16.65", "17.36" ], [ "4", "Valerie Young", "New Zealand", "17.26 metres", "17.08", "15.84", "16.81", "17.26", "17.24", "17.23" ], [ "5", "Margitta Helmbold", "Germany", "16.91 metres", "16.67", "15.87", "X", "16.6", "16.91", "16.34" ], [ "6", "Irina Press", "Soviet Union", "16.71 metres", "X", "16.50", "X", "15.81", "15.78", "16.71" ], [ "7", "Nancy McCredie", "Canada", "15.89 metres", "15.89", "15.13", "15.27", "nan", "nan", "nan" ], [ "8", "Ana Salagean", "Romania", "15.83 metres", "15.79", "15.83", "15.70", "nan", "nan", "nan" ], [ "9", "Johanna Hubner", "Germany", "15.77 metres", "15.77", "X", "X", "nan", "nan", "nan" ], [ "10", "Ivanka Khristova", "Bulgaria", "15.69 metres", "15.69", "X", "15.35", "nan", "nan", "nan" ], [ "11", "Judit Bognar", "Hungary", "15.65 metres", "15.65", "X", "X", "nan", "nan", "nan" ], [ "12", "Earlene Brown", "United States", "14.80 metres", "14.25", "13.43", "14.80", "nan", "nan", "nan" ] ]
[ "Tamara Press" ]
who threw the farthest of these? || of these, which threw over 17 meters? | which athletes participated in the 1964 summer olympics - women's shot put?
nt-9006
col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | galina zybina | soviet union | 17.45 metres | 17.38 | 17.25 | 17.45 | 17.42 | 16.65 | 17.36 row 4 : 4 | valerie young | new zealand | 17.26 metres | 17.08 | 15.84 | 16.81 | 17.26 | 17.24 | 17.23 row 5 : 5 | margitta helmbold | germany | 16.91 metres | 16.67 | 15.87 | x | 16.6 | 16.91 | 16.34 row 6 : 6 | irina press | soviet union | 16.71 metres | x | 16.50 | x | 15.81 | 15.78 | 16.71 row 7 : 7 | nancy mccredie | canada | 15.89 metres | 15.89 | 15.13 | 15.27 | nan | nan | nan row 8 : 8 | ana salagean | romania | 15.83 metres | 15.79 | 15.83 | 15.70 | nan | nan | nan row 9 : 9 | johanna hubner | germany | 15.77 metres | 15.77 | x | x | nan | nan | nan row 10 : 10 | ivanka khristova | bulgaria | 15.69 metres | 15.69 | x | 15.35 | nan | nan | nan row 11 : 11 | judit bognar | hungary | 15.65 metres | 15.65 | x | x | nan | nan | nan row 12 : 12 | earlene brown | united states | 14.80 metres | 14.25 | 13.43 | 14.80 | nan | nan | nan
table_csv/203_865.csv
0
{ "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 ] }
[ "who are all the athletes?" ]
1
tamara press, renate culmberger, galina zybina, valerie young, margitta helmbold, irina press, nancy mccredie, ana salagean, johanna hubner, ivanka khristova, judit bognar, earlene brown
[ "Place", "Athlete", "Nation", "Best mark", "Throw 1", "Throw 2", "Throw 3", "Throw 4", "Throw 5", "Throw 6" ]
who are all the athletes?
[ [ "1", "Tamara Press", "Soviet Union", "18.14 metres OR", "17.51", "17.72", "17.18", "16.49", "X", "18.14" ], [ "2", "Renate Culmberger", "Germany", "17.61 metres", "17.41", "17.10", "16.38", "17.61", "17.00", "17.01" ], [ "3", "Galina Zybina", "Soviet Union", "17.45 metres", "17.38", "17.25", "17.45", "17.42", "16.65", "17.36" ], [ "4", "Valerie Young", "New Zealand", "17.26 metres", "17.08", "15.84", "16.81", "17.26", "17.24", "17.23" ], [ "5", "Margitta Helmbold", "Germany", "16.91 metres", "16.67", "15.87", "X", "16.6", "16.91", "16.34" ], [ "6", "Irina Press", "Soviet Union", "16.71 metres", "X", "16.50", "X", "15.81", "15.78", "16.71" ], [ "7", "Nancy McCredie", "Canada", "15.89 metres", "15.89", "15.13", "15.27", "nan", "nan", "nan" ], [ "8", "Ana Salagean", "Romania", "15.83 metres", "15.79", "15.83", "15.70", "nan", "nan", "nan" ], [ "9", "Johanna Hubner", "Germany", "15.77 metres", "15.77", "X", "X", "nan", "nan", "nan" ], [ "10", "Ivanka Khristova", "Bulgaria", "15.69 metres", "15.69", "X", "15.35", "nan", "nan", "nan" ], [ "11", "Judit Bognar", "Hungary", "15.65 metres", "15.65", "X", "X", "nan", "nan", "nan" ], [ "12", "Earlene Brown", "United States", "14.80 metres", "14.25", "13.43", "14.80", "nan", "nan", "nan" ] ]
[ "Tamara Press", "Renate Culmberger", "Galina Zybina", "Valerie Young", "Margitta Helmbold", "Irina Press", "Nancy McCredie", "Ana Salagean", "Johanna Hubner", "Ivanka Khristova", "Judit Bognar", "Earlene Brown" ]
who are all the athletes? ||
nt-9006
col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | galina zybina | soviet union | 17.45 metres | 17.38 | 17.25 | 17.45 | 17.42 | 16.65 | 17.36 row 4 : 4 | valerie young | new zealand | 17.26 metres | 17.08 | 15.84 | 16.81 | 17.26 | 17.24 | 17.23 row 5 : 5 | margitta helmbold | germany | 16.91 metres | 16.67 | 15.87 | x | 16.6 | 16.91 | 16.34 row 6 : 6 | irina press | soviet union | 16.71 metres | x | 16.50 | x | 15.81 | 15.78 | 16.71 row 7 : 7 | nancy mccredie | canada | 15.89 metres | 15.89 | 15.13 | 15.27 | nan | nan | nan row 8 : 8 | ana salagean | romania | 15.83 metres | 15.79 | 15.83 | 15.70 | nan | nan | nan row 9 : 9 | johanna hubner | germany | 15.77 metres | 15.77 | x | x | nan | nan | nan row 10 : 10 | ivanka khristova | bulgaria | 15.69 metres | 15.69 | x | 15.35 | nan | nan | nan row 11 : 11 | judit bognar | hungary | 15.65 metres | 15.65 | x | x | nan | nan | nan row 12 : 12 | earlene brown | united states | 14.80 metres | 14.25 | 13.43 | 14.80 | nan | nan | nan
table_csv/203_865.csv
1
{ "column_index": [ 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 ] }
[ "who are all the athletes?", "and what was the best mark of each athlete?" ]
1
18.14 metres or, 17.61 metres, 17.45 metres, 17.26 metres, 16.91 metres, 16.71 metres, 15.89 metres, 15.83 metres, 15.77 metres, 15.69 metres, 15.65 metres, 14.80 metres
[ "Place", "Athlete", "Nation", "Best mark", "Throw 1", "Throw 2", "Throw 3", "Throw 4", "Throw 5", "Throw 6" ]
and what was the best mark of each athlete?
[ [ "1", "Tamara Press", "Soviet Union", "18.14 metres OR", "17.51", "17.72", "17.18", "16.49", "X", "18.14" ], [ "2", "Renate Culmberger", "Germany", "17.61 metres", "17.41", "17.10", "16.38", "17.61", "17.00", "17.01" ], [ "3", "Galina Zybina", "Soviet Union", "17.45 metres", "17.38", "17.25", "17.45", "17.42", "16.65", "17.36" ], [ "4", "Valerie Young", "New Zealand", "17.26 metres", "17.08", "15.84", "16.81", "17.26", "17.24", "17.23" ], [ "5", "Margitta Helmbold", "Germany", "16.91 metres", "16.67", "15.87", "X", "16.6", "16.91", "16.34" ], [ "6", "Irina Press", "Soviet Union", "16.71 metres", "X", "16.50", "X", "15.81", "15.78", "16.71" ], [ "7", "Nancy McCredie", "Canada", "15.89 metres", "15.89", "15.13", "15.27", "nan", "nan", "nan" ], [ "8", "Ana Salagean", "Romania", "15.83 metres", "15.79", "15.83", "15.70", "nan", "nan", "nan" ], [ "9", "Johanna Hubner", "Germany", "15.77 metres", "15.77", "X", "X", "nan", "nan", "nan" ], [ "10", "Ivanka Khristova", "Bulgaria", "15.69 metres", "15.69", "X", "15.35", "nan", "nan", "nan" ], [ "11", "Judit Bognar", "Hungary", "15.65 metres", "15.65", "X", "X", "nan", "nan", "nan" ], [ "12", "Earlene Brown", "United States", "14.80 metres", "14.25", "13.43", "14.80", "nan", "nan", "nan" ] ]
[ "18.14 metres OR", "17.61 metres", "17.45 metres", "17.26 metres", "16.91 metres", "16.71 metres", "15.89 metres", "15.83 metres", "15.77 metres", "15.69 metres", "15.65 metres", "14.80 metres" ]
and what was the best mark of each athlete? || who are all the athletes?
nt-9006
col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | galina zybina | soviet union | 17.45 metres | 17.38 | 17.25 | 17.45 | 17.42 | 16.65 | 17.36 row 4 : 4 | valerie young | new zealand | 17.26 metres | 17.08 | 15.84 | 16.81 | 17.26 | 17.24 | 17.23 row 5 : 5 | margitta helmbold | germany | 16.91 metres | 16.67 | 15.87 | x | 16.6 | 16.91 | 16.34 row 6 : 6 | irina press | soviet union | 16.71 metres | x | 16.50 | x | 15.81 | 15.78 | 16.71 row 7 : 7 | nancy mccredie | canada | 15.89 metres | 15.89 | 15.13 | 15.27 | nan | nan | nan row 8 : 8 | ana salagean | romania | 15.83 metres | 15.79 | 15.83 | 15.70 | nan | nan | nan row 9 : 9 | johanna hubner | germany | 15.77 metres | 15.77 | x | x | nan | nan | nan row 10 : 10 | ivanka khristova | bulgaria | 15.69 metres | 15.69 | x | 15.35 | nan | nan | nan row 11 : 11 | judit bognar | hungary | 15.65 metres | 15.65 | x | x | nan | nan | nan row 12 : 12 | earlene brown | united states | 14.80 metres | 14.25 | 13.43 | 14.80 | nan | nan | nan
table_csv/203_865.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who are all the athletes?", "and what was the best mark of each athlete?", "of those scores, which athlete achieved the highest?" ]
1
tamara press
[ "Place", "Athlete", "Nation", "Best mark", "Throw 1", "Throw 2", "Throw 3", "Throw 4", "Throw 5", "Throw 6" ]
of those scores, which athlete achieved the highest?
[ [ "1", "Tamara Press", "Soviet Union", "18.14 metres OR", "17.51", "17.72", "17.18", "16.49", "X", "18.14" ], [ "2", "Renate Culmberger", "Germany", "17.61 metres", "17.41", "17.10", "16.38", "17.61", "17.00", "17.01" ], [ "3", "Galina Zybina", "Soviet Union", "17.45 metres", "17.38", "17.25", "17.45", "17.42", "16.65", "17.36" ], [ "4", "Valerie Young", "New Zealand", "17.26 metres", "17.08", "15.84", "16.81", "17.26", "17.24", "17.23" ], [ "5", "Margitta Helmbold", "Germany", "16.91 metres", "16.67", "15.87", "X", "16.6", "16.91", "16.34" ], [ "6", "Irina Press", "Soviet Union", "16.71 metres", "X", "16.50", "X", "15.81", "15.78", "16.71" ], [ "7", "Nancy McCredie", "Canada", "15.89 metres", "15.89", "15.13", "15.27", "nan", "nan", "nan" ], [ "8", "Ana Salagean", "Romania", "15.83 metres", "15.79", "15.83", "15.70", "nan", "nan", "nan" ], [ "9", "Johanna Hubner", "Germany", "15.77 metres", "15.77", "X", "X", "nan", "nan", "nan" ], [ "10", "Ivanka Khristova", "Bulgaria", "15.69 metres", "15.69", "X", "15.35", "nan", "nan", "nan" ], [ "11", "Judit Bognar", "Hungary", "15.65 metres", "15.65", "X", "X", "nan", "nan", "nan" ], [ "12", "Earlene Brown", "United States", "14.80 metres", "14.25", "13.43", "14.80", "nan", "nan", "nan" ] ]
[ "Tamara Press" ]
of those scores, which athlete achieved the highest? || and what was the best mark of each athlete? | who are all the athletes?
nt-9006
col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | galina zybina | soviet union | 17.45 metres | 17.38 | 17.25 | 17.45 | 17.42 | 16.65 | 17.36 row 4 : 4 | valerie young | new zealand | 17.26 metres | 17.08 | 15.84 | 16.81 | 17.26 | 17.24 | 17.23 row 5 : 5 | margitta helmbold | germany | 16.91 metres | 16.67 | 15.87 | x | 16.6 | 16.91 | 16.34 row 6 : 6 | irina press | soviet union | 16.71 metres | x | 16.50 | x | 15.81 | 15.78 | 16.71 row 7 : 7 | nancy mccredie | canada | 15.89 metres | 15.89 | 15.13 | 15.27 | nan | nan | nan row 8 : 8 | ana salagean | romania | 15.83 metres | 15.79 | 15.83 | 15.70 | nan | nan | nan row 9 : 9 | johanna hubner | germany | 15.77 metres | 15.77 | x | x | nan | nan | nan row 10 : 10 | ivanka khristova | bulgaria | 15.69 metres | 15.69 | x | 15.35 | nan | nan | nan row 11 : 11 | judit bognar | hungary | 15.65 metres | 15.65 | x | x | nan | nan | nan row 12 : 12 | earlene brown | united states | 14.80 metres | 14.25 | 13.43 | 14.80 | nan | nan | nan
table_csv/203_865.csv
0
{ "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 ] }
[ "what are the names of all the athletes?" ]
2
tamara press, renate culmberger, galina zybina, valerie young, margitta helmbold, irina press, nancy mccredie, ana salagean, johanna hubner, ivanka khristova, judit bognar, earlene brown
[ "Place", "Athlete", "Nation", "Best mark", "Throw 1", "Throw 2", "Throw 3", "Throw 4", "Throw 5", "Throw 6" ]
what are the names of all the athletes?
[ [ "1", "Tamara Press", "Soviet Union", "18.14 metres OR", "17.51", "17.72", "17.18", "16.49", "X", "18.14" ], [ "2", "Renate Culmberger", "Germany", "17.61 metres", "17.41", "17.10", "16.38", "17.61", "17.00", "17.01" ], [ "3", "Galina Zybina", "Soviet Union", "17.45 metres", "17.38", "17.25", "17.45", "17.42", "16.65", "17.36" ], [ "4", "Valerie Young", "New Zealand", "17.26 metres", "17.08", "15.84", "16.81", "17.26", "17.24", "17.23" ], [ "5", "Margitta Helmbold", "Germany", "16.91 metres", "16.67", "15.87", "X", "16.6", "16.91", "16.34" ], [ "6", "Irina Press", "Soviet Union", "16.71 metres", "X", "16.50", "X", "15.81", "15.78", "16.71" ], [ "7", "Nancy McCredie", "Canada", "15.89 metres", "15.89", "15.13", "15.27", "nan", "nan", "nan" ], [ "8", "Ana Salagean", "Romania", "15.83 metres", "15.79", "15.83", "15.70", "nan", "nan", "nan" ], [ "9", "Johanna Hubner", "Germany", "15.77 metres", "15.77", "X", "X", "nan", "nan", "nan" ], [ "10", "Ivanka Khristova", "Bulgaria", "15.69 metres", "15.69", "X", "15.35", "nan", "nan", "nan" ], [ "11", "Judit Bognar", "Hungary", "15.65 metres", "15.65", "X", "X", "nan", "nan", "nan" ], [ "12", "Earlene Brown", "United States", "14.80 metres", "14.25", "13.43", "14.80", "nan", "nan", "nan" ] ]
[ "Tamara Press", "Renate Culmberger", "Galina Zybina", "Valerie Young", "Margitta Helmbold", "Irina Press", "Nancy McCredie", "Ana Salagean", "Johanna Hubner", "Ivanka Khristova", "Judit Bognar", "Earlene Brown" ]
what are the names of all the athletes? ||
nt-9006
col : place | athlete | nation | best mark | throw 1 | throw 2 | throw 3 | throw 4 | throw 5 | throw 6 row 1 : 1 | tamara press | soviet union | 18.14 metres or | 17.51 | 17.72 | 17.18 | 16.49 | x | 18.14 row 2 : 2 | renate culmberger | germany | 17.61 metres | 17.41 | 17.10 | 16.38 | 17.61 | 17.00 | 17.01 row 3 : 3 | galina zybina | soviet union | 17.45 metres | 17.38 | 17.25 | 17.45 | 17.42 | 16.65 | 17.36 row 4 : 4 | valerie young | new zealand | 17.26 metres | 17.08 | 15.84 | 16.81 | 17.26 | 17.24 | 17.23 row 5 : 5 | margitta helmbold | germany | 16.91 metres | 16.67 | 15.87 | x | 16.6 | 16.91 | 16.34 row 6 : 6 | irina press | soviet union | 16.71 metres | x | 16.50 | x | 15.81 | 15.78 | 16.71 row 7 : 7 | nancy mccredie | canada | 15.89 metres | 15.89 | 15.13 | 15.27 | nan | nan | nan row 8 : 8 | ana salagean | romania | 15.83 metres | 15.79 | 15.83 | 15.70 | nan | nan | nan row 9 : 9 | johanna hubner | germany | 15.77 metres | 15.77 | x | x | nan | nan | nan row 10 : 10 | ivanka khristova | bulgaria | 15.69 metres | 15.69 | x | 15.35 | nan | nan | nan row 11 : 11 | judit bognar | hungary | 15.65 metres | 15.65 | x | x | nan | nan | nan row 12 : 12 | earlene brown | united states | 14.80 metres | 14.25 | 13.43 | 14.80 | nan | nan | nan
table_csv/203_865.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what are the names of all the athletes?", "of these, who is the only athlete to throw more than 18 meters?" ]
2
tamara press
[ "Place", "Athlete", "Nation", "Best mark", "Throw 1", "Throw 2", "Throw 3", "Throw 4", "Throw 5", "Throw 6" ]
of these, who is the only athlete to throw more than 18 meters?
[ [ "1", "Tamara Press", "Soviet Union", "18.14 metres OR", "17.51", "17.72", "17.18", "16.49", "X", "18.14" ], [ "2", "Renate Culmberger", "Germany", "17.61 metres", "17.41", "17.10", "16.38", "17.61", "17.00", "17.01" ], [ "3", "Galina Zybina", "Soviet Union", "17.45 metres", "17.38", "17.25", "17.45", "17.42", "16.65", "17.36" ], [ "4", "Valerie Young", "New Zealand", "17.26 metres", "17.08", "15.84", "16.81", "17.26", "17.24", "17.23" ], [ "5", "Margitta Helmbold", "Germany", "16.91 metres", "16.67", "15.87", "X", "16.6", "16.91", "16.34" ], [ "6", "Irina Press", "Soviet Union", "16.71 metres", "X", "16.50", "X", "15.81", "15.78", "16.71" ], [ "7", "Nancy McCredie", "Canada", "15.89 metres", "15.89", "15.13", "15.27", "nan", "nan", "nan" ], [ "8", "Ana Salagean", "Romania", "15.83 metres", "15.79", "15.83", "15.70", "nan", "nan", "nan" ], [ "9", "Johanna Hubner", "Germany", "15.77 metres", "15.77", "X", "X", "nan", "nan", "nan" ], [ "10", "Ivanka Khristova", "Bulgaria", "15.69 metres", "15.69", "X", "15.35", "nan", "nan", "nan" ], [ "11", "Judit Bognar", "Hungary", "15.65 metres", "15.65", "X", "X", "nan", "nan", "nan" ], [ "12", "Earlene Brown", "United States", "14.80 metres", "14.25", "13.43", "14.80", "nan", "nan", "nan" ] ]
[ "Tamara Press" ]
of these, who is the only athlete to throw more than 18 meters? || what are the names of all the athletes?
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
0
{ "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 ] }
[ "what are the natalia oreiro titles?" ]
0
inconquistable corazon, dulce ana, 90-60-90 modelos, ricos y famosos, muneca brava, kachorra, el deseo, botines, sos mi vida, patito feo, amanda o, recurso natural, se dice de mi, cuando me sonreis, lynch, solamente vos
[ "Ano", "Title", "Role", "Channel", "Notes" ]
what are the natalia oreiro titles?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "Inconquistable corazon", "Dulce Ana", "90-60-90 modelos", "Ricos y famosos", "Muneca brava", "Kachorra", "El Deseo", "Botines", "Sos mi vida", "Patito feo", "Amanda O", "Recurso Natural", "Se dice de mi", "Cuando me sonreis", "Lynch", "Solamente Vos" ]
what are the natalia oreiro titles? ||
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 5, 8 ] }
[ "what are the natalia oreiro titles?", "in what years did kachorra and sos mi vida arrive?" ]
0
2002, 2006
[ "Ano", "Title", "Role", "Channel", "Notes" ]
in what years did kachorra and sos mi vida arrive?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "2002", "2006" ]
in what years did kachorra and sos mi vida arrive? || what are the natalia oreiro titles?
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
2
{ "column_index": [ 0 ], "row_index": [ 5 ] }
[ "what are the natalia oreiro titles?", "in what years did kachorra and sos mi vida arrive?", "which of these years is older?" ]
0
2002
[ "Ano", "Title", "Role", "Channel", "Notes" ]
which of these years is older?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "2002" ]
which of these years is older? || in what years did kachorra and sos mi vida arrive? | what are the natalia oreiro titles?
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
3
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "what are the natalia oreiro titles?", "in what years did kachorra and sos mi vida arrive?", "which of these years is older?", "which of the two movies came out that year?" ]
0
kachorra
[ "Ano", "Title", "Role", "Channel", "Notes" ]
which of the two movies came out that year?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "Kachorra" ]
which of the two movies came out that year? || which of these years is older? | in what years did kachorra and sos mi vida arrive? | what are the natalia oreiro titles?
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
0
{ "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 ] }
[ "what are the titles in the natalia oreiro?" ]
1
inconquistable corazon, dulce ana, 90-60-90 modelos, ricos y famosos, muneca brava, kachorra, el deseo, botines, sos mi vida, patito feo, amanda o, recurso natural, se dice de mi, cuando me sonreis, lynch, solamente vos
[ "Ano", "Title", "Role", "Channel", "Notes" ]
what are the titles in the natalia oreiro?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "Inconquistable corazon", "Dulce Ana", "90-60-90 modelos", "Ricos y famosos", "Muneca brava", "Kachorra", "El Deseo", "Botines", "Sos mi vida", "Patito feo", "Amanda O", "Recurso Natural", "Se dice de mi", "Cuando me sonreis", "Lynch", "Solamente Vos" ]
what are the titles in the natalia oreiro? ||
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
1
{ "column_index": [ 0 ], "row_index": [ 5 ] }
[ "what are the titles in the natalia oreiro?", "what is the year for kachorra?" ]
1
2002
[ "Ano", "Title", "Role", "Channel", "Notes" ]
what is the year for kachorra?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "2002" ]
what is the year for kachorra? || what are the titles in the natalia oreiro?
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
2
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "what are the titles in the natalia oreiro?", "what is the year for kachorra?", "what is the year for sos mi vida?" ]
1
2006
[ "Ano", "Title", "Role", "Channel", "Notes" ]
what is the year for sos mi vida?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "2006" ]
what is the year for sos mi vida? || what is the year for kachorra? | what are the titles in the natalia oreiro?
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
3
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "what are the titles in the natalia oreiro?", "what is the year for kachorra?", "what is the year for sos mi vida?", "which of these two is older?" ]
1
kachorra
[ "Ano", "Title", "Role", "Channel", "Notes" ]
which of these two is older?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "Kachorra" ]
which of these two is older? || what is the year for sos mi vida? | what is the year for kachorra? | what are the titles in the natalia oreiro?
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
0
{ "column_index": [ 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 ] }
[ "what are all of the years?" ]
2
1994, 1995, 1996, 1997, 1998-1999, 2002, 2004, 2005, 2006, 2007, 2008, 2008, 2010, 2011, 2012-2013, 2013
[ "Ano", "Title", "Role", "Channel", "Notes" ]
what are all of the years?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "1994", "1995", "1996", "1997", "1998-1999", "2002", "2004", "2005", "2006", "2007", "2008", "2008", "2010", "2011", "2012-2013", "2013" ]
what are all of the years? ||
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
1
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "what are all of the years?", "which came out in 2006?" ]
2
sos mi vida
[ "Ano", "Title", "Role", "Channel", "Notes" ]
which came out in 2006?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "Sos mi vida" ]
which came out in 2006? || what are all of the years?
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
2
{ "column_index": [ 0 ], "row_index": [ 5 ] }
[ "what are all of the years?", "which came out in 2006?", "which came out in 2002?" ]
2
2002
[ "Ano", "Title", "Role", "Channel", "Notes" ]
which came out in 2002?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "2002" ]
which came out in 2002? || which came out in 2006? | what are all of the years?
nt-11136
col : ano | title | role | channel | notes row 1 : 1994 | inconquistable corazon | victoria | canal 9 | nan row 2 : 1995 | dulce ana | veronica iturbe montalban | canal 9 | nan row 3 : 1996 | 90-60-90 modelos | lucia peralta | canal 9 | nan row 4 : 1997 | ricos y famosos | valeria garcia mendez de salerno | canal 9 | nan row 5 : 1998-1999 | muneca brava | milagros 'mili' esposito-d | telefe | nominated - martin fierro - best actress row 6 : 2002 | kachorra | antonia guerrero (kachorra), alia | telefe | nominated - martin fierro - best tv comedy row 7 : 2004 | el deseo | carmen | telefe | nan row 8 : 2005 | botines | renee | canal 13 | in bailarina en rosa y verde episode row 9 : 2006 | sos mi vida | esperanza la monita munoz | canal 13 | won - martin fierro - best comedy actress row 10 : 2007 | patito feo | patricia gonzalez | canal 13 | guest appearance row 11 : 2008 | amanda o | amanda o | on internet and america television | martin fierro - leading actress in a comedy program row 12 : 2008 | recurso natural | nan | canal 7 | host row 13 : 2010 | se dice de mi | nan | canal encuentro | host row 14 : 2011 | cuando me sonreis | leonora bellami | telefe | guest appearance row 15 : 2012-2013 | lynch | isabel reyes alias mariana | moviecity | nan row 16 : 2013 | solamente vos | aurora andres | canal 13 | won - tato awards best lead actress in comedy
table_csv/204_871.csv
3
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "what are all of the years?", "which came out in 2006?", "which came out in 2002?", "of those two, which came out earlier?" ]
2
kachorra
[ "Ano", "Title", "Role", "Channel", "Notes" ]
of those two, which came out earlier?
[ [ "1994", "Inconquistable corazon", "Victoria", "Canal 9", "nan" ], [ "1995", "Dulce Ana", "Veronica Iturbe Montalban", "Canal 9", "nan" ], [ "1996", "90-60-90 modelos", "Lucia Peralta", "Canal 9", "nan" ], [ "1997", "Ricos y famosos", "Valeria Garcia Mendez de Salerno", "Canal 9", "nan" ], [ "1998-1999", "Muneca brava", "Milagros 'Mili' Esposito-D", "Telefe", "Nominated - Martin Fierro - Best Actress" ], [ "2002", "Kachorra", "Antonia Guerrero (Kachorra), alia", "Telefe", "Nominated - Martin Fierro - Best TV comedy" ], [ "2004", "El Deseo", "Carmen", "Telefe", "nan" ], [ "2005", "Botines", "Renee", "Canal 13", "in Bailarina en rosa y verde episode" ], [ "2006", "Sos mi vida", "Esperanza La Monita Munoz", "Canal 13", "Won - Martin Fierro - Best comedy actress" ], [ "2007", "Patito feo", "Patricia Gonzalez", "Canal 13", "Guest appearance" ], [ "2008", "Amanda O", "Amanda O", "on internet and America Television", "Martin Fierro - Leading Actress in a Comedy Program" ], [ "2008", "Recurso Natural", "nan", "Canal 7", "Host" ], [ "2010", "Se dice de mi", "nan", "Canal Encuentro", "Host" ], [ "2011", "Cuando me sonreis", "Leonora Bellami", "Telefe", "Guest appearance" ], [ "2012-2013", "Lynch", "Isabel Reyes alias Mariana", "Moviecity", "nan" ], [ "2013", "Solamente Vos", "Aurora Andres", "Canal 13", "Won - Tato Awards Best lead actress in comedy" ] ]
[ "Kachorra" ]
of those two, which came out earlier? || which came out in 2002? | which came out in 2006? | what are all of the years?