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nt-2920
col : ship | built | in service for cunard | type | tonnage | notes row 1 : queen mary | 1936 | 1936-1967 | express | 80,750 grt | blue riband, sold 1967, now a stationary hotel ship row 2 : mauretania | 1939 | 1939-1965 | express | 37,750 grt | scrapped 1965 row 3 : queen elizabeth | 1940 | 1946-1968 | express | 83,65...
table_csv/203_547.csv
2
{ "column_index": [ 0 ], "row_index": [ 7 ] }
[ "what were the names of each sip in the cunard line?", "during which years did each ship serve?", "of these ships, which served the fewest number of years?" ]
0
georgic
[ "Ship", "Built", "In service for Cunard", "Type", "Tonnage", "Notes" ]
of these ships, which served the fewest number of years?
[ [ "Queen Mary", "1936", "1936-1967", "express", "80,750 GRT", "Blue Riband, sold 1967, now a stationary hotel ship" ], [ "Mauretania", "1939", "1939-1965", "express", "37,750 GRT", "scrapped 1965" ], [ "Queen Elizabeth", "1940", "1946-1968", "e...
[ "Georgic" ]
of these ships, which served the fewest number of years? || during which years did each ship serve? | what were the names of each sip in the cunard line?
nt-2920
col : ship | built | in service for cunard | type | tonnage | notes row 1 : queen mary | 1936 | 1936-1967 | express | 80,750 grt | blue riband, sold 1967, now a stationary hotel ship row 2 : mauretania | 1939 | 1939-1965 | express | 37,750 grt | scrapped 1965 row 3 : queen elizabeth | 1940 | 1946-1968 | express | 83,65...
table_csv/203_547.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15 ] }
[ "which ships had a tonnage of less than 50,000 grt?" ]
1
mauretania, media, parthia, caronia, britannic, georgic, saxonia carmania, ivernia franconia, carinthia, sylvania, alaunia, atlantic causeway, atlantic conveyor
[ "Ship", "Built", "In service for Cunard", "Type", "Tonnage", "Notes" ]
which ships had a tonnage of less than 50,000 grt?
[ [ "Queen Mary", "1936", "1936-1967", "express", "80,750 GRT", "Blue Riband, sold 1967, now a stationary hotel ship" ], [ "Mauretania", "1939", "1939-1965", "express", "37,750 GRT", "scrapped 1965" ], [ "Queen Elizabeth", "1940", "1946-1968", "e...
[ "Mauretania", "Media", "Parthia", "Caronia", "Britannic", "Georgic", "Saxonia Carmania", "Ivernia Franconia", "Carinthia", "Sylvania", "Alaunia", "Atlantic Causeway", "Atlantic Conveyor" ]
which ships had a tonnage of less than 50,000 grt? ||
nt-2920
col : ship | built | in service for cunard | type | tonnage | notes row 1 : queen mary | 1936 | 1936-1967 | express | 80,750 grt | blue riband, sold 1967, now a stationary hotel ship row 2 : mauretania | 1939 | 1939-1965 | express | 37,750 grt | scrapped 1965 row 3 : queen elizabeth | 1940 | 1946-1968 | express | 83,65...
table_csv/203_547.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 1, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "which ships had a tonnage of less than 50,000 grt?", "of those ships, which ones were in service during the 1950's?" ]
1
mauretania, media, parthia, caronia, britannic, georgic, saxonia carmania, ivernia franconia, carinthia, sylvania
[ "Ship", "Built", "In service for Cunard", "Type", "Tonnage", "Notes" ]
of those ships, which ones were in service during the 1950's?
[ [ "Queen Mary", "1936", "1936-1967", "express", "80,750 GRT", "Blue Riband, sold 1967, now a stationary hotel ship" ], [ "Mauretania", "1939", "1939-1965", "express", "37,750 GRT", "scrapped 1965" ], [ "Queen Elizabeth", "1940", "1946-1968", "e...
[ "Mauretania", "Media", "Parthia", "Caronia", "Britannic", "Georgic", "Saxonia Carmania", "Ivernia Franconia", "Carinthia", "Sylvania" ]
of those ships, which ones were in service during the 1950's? || which ships had a tonnage of less than 50,000 grt?
nt-2920
col : ship | built | in service for cunard | type | tonnage | notes row 1 : queen mary | 1936 | 1936-1967 | express | 80,750 grt | blue riband, sold 1967, now a stationary hotel ship row 2 : mauretania | 1939 | 1939-1965 | express | 37,750 grt | scrapped 1965 row 3 : queen elizabeth | 1940 | 1946-1968 | express | 83,65...
table_csv/203_547.csv
2
{ "column_index": [ 0, 0, 0, 0, 0, 0 ], "row_index": [ 1, 3, 4, 5, 6, 7 ] }
[ "which ships had a tonnage of less than 50,000 grt?", "of those ships, which ones were in service during the 1950's?", "which of those were built prior to 1950?" ]
1
mauretania, media, parthia, caronia, britannic, georgic
[ "Ship", "Built", "In service for Cunard", "Type", "Tonnage", "Notes" ]
which of those were built prior to 1950?
[ [ "Queen Mary", "1936", "1936-1967", "express", "80,750 GRT", "Blue Riband, sold 1967, now a stationary hotel ship" ], [ "Mauretania", "1939", "1939-1965", "express", "37,750 GRT", "scrapped 1965" ], [ "Queen Elizabeth", "1940", "1946-1968", "e...
[ "Mauretania", "Media", "Parthia", "Caronia", "Britannic", "Georgic" ]
which of those were built prior to 1950? || of those ships, which ones were in service during the 1950's? | which ships had a tonnage of less than 50,000 grt?
nt-2920
col : ship | built | in service for cunard | type | tonnage | notes row 1 : queen mary | 1936 | 1936-1967 | express | 80,750 grt | blue riband, sold 1967, now a stationary hotel ship row 2 : mauretania | 1939 | 1939-1965 | express | 37,750 grt | scrapped 1965 row 3 : queen elizabeth | 1940 | 1946-1968 | express | 83,65...
table_csv/203_547.csv
3
{ "column_index": [ 0, 0 ], "row_index": [ 6, 7 ] }
[ "which ships had a tonnage of less than 50,000 grt?", "of those ships, which ones were in service during the 1950's?", "which of those were built prior to 1950?", "of those, which ships were an intermediate type?" ]
1
britannic, georgic
[ "Ship", "Built", "In service for Cunard", "Type", "Tonnage", "Notes" ]
of those, which ships were an intermediate type?
[ [ "Queen Mary", "1936", "1936-1967", "express", "80,750 GRT", "Blue Riband, sold 1967, now a stationary hotel ship" ], [ "Mauretania", "1939", "1939-1965", "express", "37,750 GRT", "scrapped 1965" ], [ "Queen Elizabeth", "1940", "1946-1968", "e...
[ "Britannic", "Georgic" ]
of those, which ships were an intermediate type? || which of those were built prior to 1950? | of those ships, which ones were in service during the 1950's? | which ships had a tonnage of less than 50,000 grt?
nt-2920
col : ship | built | in service for cunard | type | tonnage | notes row 1 : queen mary | 1936 | 1936-1967 | express | 80,750 grt | blue riband, sold 1967, now a stationary hotel ship row 2 : mauretania | 1939 | 1939-1965 | express | 37,750 grt | scrapped 1965 row 3 : queen elizabeth | 1940 | 1946-1968 | express | 83,65...
table_csv/203_547.csv
4
{ "column_index": [ 0 ], "row_index": [ 7 ] }
[ "which ships had a tonnage of less than 50,000 grt?", "of those ships, which ones were in service during the 1950's?", "which of those were built prior to 1950?", "of those, which ships were an intermediate type?", "which of those was scrapped first?" ]
1
georgic
[ "Ship", "Built", "In service for Cunard", "Type", "Tonnage", "Notes" ]
which of those was scrapped first?
[ [ "Queen Mary", "1936", "1936-1967", "express", "80,750 GRT", "Blue Riband, sold 1967, now a stationary hotel ship" ], [ "Mauretania", "1939", "1939-1965", "express", "37,750 GRT", "scrapped 1965" ], [ "Queen Elizabeth", "1940", "1946-1968", "e...
[ "Georgic" ]
which of those was scrapped first? || of those, which ships were an intermediate type? | which of those were built prior to 1950? | of those ships, which ones were in service during the 1950's? | which ships had a tonnage of less than 50,000 grt?
nt-2920
col : ship | built | in service for cunard | type | tonnage | notes row 1 : queen mary | 1936 | 1936-1967 | express | 80,750 grt | blue riband, sold 1967, now a stationary hotel ship row 2 : mauretania | 1939 | 1939-1965 | express | 37,750 grt | scrapped 1965 row 3 : queen elizabeth | 1940 | 1946-1968 | express | 83,65...
table_csv/203_547.csv
0
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 6, 7, 11, 12 ] }
[ "of the ships below, how many have served for less than 12 years for cunard?" ]
2
britannic, georgic, sylvania, alaunia
[ "Ship", "Built", "In service for Cunard", "Type", "Tonnage", "Notes" ]
of the ships below, how many have served for less than 12 years for cunard?
[ [ "Queen Mary", "1936", "1936-1967", "express", "80,750 GRT", "Blue Riband, sold 1967, now a stationary hotel ship" ], [ "Mauretania", "1939", "1939-1965", "express", "37,750 GRT", "scrapped 1965" ], [ "Queen Elizabeth", "1940", "1946-1968", "e...
[ "Britannic", "Georgic", "Sylvania", "Alaunia" ]
of the ships below, how many have served for less than 12 years for cunard? ||
nt-2920
col : ship | built | in service for cunard | type | tonnage | notes row 1 : queen mary | 1936 | 1936-1967 | express | 80,750 grt | blue riband, sold 1967, now a stationary hotel ship row 2 : mauretania | 1939 | 1939-1965 | express | 37,750 grt | scrapped 1965 row 3 : queen elizabeth | 1940 | 1946-1968 | express | 83,65...
table_csv/203_547.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 7, 12 ] }
[ "of the ships below, how many have served for less than 12 years for cunard?", "of those, how many have served for less than ten years?" ]
2
georgic, alaunia
[ "Ship", "Built", "In service for Cunard", "Type", "Tonnage", "Notes" ]
of those, how many have served for less than ten years?
[ [ "Queen Mary", "1936", "1936-1967", "express", "80,750 GRT", "Blue Riband, sold 1967, now a stationary hotel ship" ], [ "Mauretania", "1939", "1939-1965", "express", "37,750 GRT", "scrapped 1965" ], [ "Queen Elizabeth", "1940", "1946-1968", "e...
[ "Georgic", "Alaunia" ]
of those, how many have served for less than ten years? || of the ships below, how many have served for less than 12 years for cunard?
nt-2920
col : ship | built | in service for cunard | type | tonnage | notes row 1 : queen mary | 1936 | 1936-1967 | express | 80,750 grt | blue riband, sold 1967, now a stationary hotel ship row 2 : mauretania | 1939 | 1939-1965 | express | 37,750 grt | scrapped 1965 row 3 : queen elizabeth | 1940 | 1946-1968 | express | 83,65...
table_csv/203_547.csv
2
{ "column_index": [ 0 ], "row_index": [ 7 ] }
[ "of the ships below, how many have served for less than 12 years for cunard?", "of those, how many have served for less than ten years?", "and of those, which has the fewest years of service?" ]
2
georgic
[ "Ship", "Built", "In service for Cunard", "Type", "Tonnage", "Notes" ]
and of those, which has the fewest years of service?
[ [ "Queen Mary", "1936", "1936-1967", "express", "80,750 GRT", "Blue Riband, sold 1967, now a stationary hotel ship" ], [ "Mauretania", "1939", "1939-1965", "express", "37,750 GRT", "scrapped 1965" ], [ "Queen Elizabeth", "1940", "1946-1968", "e...
[ "Georgic" ]
and of those, which has the fewest years of service? || of those, how many have served for less than ten years? | of the ships below, how many have served for less than 12 years for cunard?
nt-2922
col : name | parentage | size | flower colour | flower type row 1 : cornish snow | cuspidata x saluenensis | 04.0m2 | white | single row 2 : cornish spring | cuspidata x saluenensis | 04.0m2 | pink | single row 3 : francie l | reticulata x saluenensis | 64.0m2 | rose-pink | double row 4 : freedom bell | x williamsii | ...
table_csv/203_699.csv
0
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what plant is white?" ]
0
cornish snow
[ "Name", "Parentage", "Size", "Flower colour", "Flower type" ]
what plant is white?
[ [ "Cornish Snow", "cuspidata x saluenensis", "04.0m2", "white", "single" ], [ "Cornish Spring", "cuspidata x saluenensis", "04.0m2", "pink", "single" ], [ "Francie L", "reticulata x saluenensis", "64.0m2", "rose-pink", "double" ], [ "Freedo...
[ "Cornish Snow" ]
what plant is white? ||
nt-2922
col : name | parentage | size | flower colour | flower type row 1 : cornish snow | cuspidata x saluenensis | 04.0m2 | white | single row 2 : cornish spring | cuspidata x saluenensis | 04.0m2 | pink | single row 3 : francie l | reticulata x saluenensis | 64.0m2 | rose-pink | double row 4 : freedom bell | x williamsii | ...
table_csv/203_699.csv
1
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what plant is white?", "what plant is light red?" ]
0
royalty
[ "Name", "Parentage", "Size", "Flower colour", "Flower type" ]
what plant is light red?
[ [ "Cornish Snow", "cuspidata x saluenensis", "04.0m2", "white", "single" ], [ "Cornish Spring", "cuspidata x saluenensis", "04.0m2", "pink", "single" ], [ "Francie L", "reticulata x saluenensis", "64.0m2", "rose-pink", "double" ], [ "Freedo...
[ "Royalty" ]
what plant is light red? || what plant is white?
nt-2922
col : name | parentage | size | flower colour | flower type row 1 : cornish snow | cuspidata x saluenensis | 04.0m2 | white | single row 2 : cornish spring | cuspidata x saluenensis | 04.0m2 | pink | single row 3 : francie l | reticulata x saluenensis | 64.0m2 | rose-pink | double row 4 : freedom bell | x williamsii | ...
table_csv/203_699.csv
2
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "what plant is white?", "what plant is light red?", "what plant is darker than red?" ]
0
tom knudsen
[ "Name", "Parentage", "Size", "Flower colour", "Flower type" ]
what plant is darker than red?
[ [ "Cornish Snow", "cuspidata x saluenensis", "04.0m2", "white", "single" ], [ "Cornish Spring", "cuspidata x saluenensis", "04.0m2", "pink", "single" ], [ "Francie L", "reticulata x saluenensis", "64.0m2", "rose-pink", "double" ], [ "Freedo...
[ "Tom Knudsen" ]
what plant is darker than red? || what plant is light red? | what plant is white?
nt-2922
col : name | parentage | size | flower colour | flower type row 1 : cornish snow | cuspidata x saluenensis | 04.0m2 | white | single row 2 : cornish spring | cuspidata x saluenensis | 04.0m2 | pink | single row 3 : francie l | reticulata x saluenensis | 64.0m2 | rose-pink | double row 4 : freedom bell | x williamsii | ...
table_csv/203_699.csv
0
{ "column_index": [ 0, 3, 0, 3, 0, 3 ], "row_index": [ 3, 3, 6, 6, 8, 8 ] }
[ "which of these plants has red in it's flower colour name?" ]
1
freedom bell, red, royalty, light red, tom knudsen, deep red
[ "Name", "Parentage", "Size", "Flower colour", "Flower type" ]
which of these plants has red in it's flower colour name?
[ [ "Cornish Snow", "cuspidata x saluenensis", "04.0m2", "white", "single" ], [ "Cornish Spring", "cuspidata x saluenensis", "04.0m2", "pink", "single" ], [ "Francie L", "reticulata x saluenensis", "64.0m2", "rose-pink", "double" ], [ "Freedo...
[ "Freedom Bell", "red", "Royalty", "light red", "Tom Knudsen", "deep red" ]
which of these plants has red in it's flower colour name? ||
nt-2922
col : name | parentage | size | flower colour | flower type row 1 : cornish snow | cuspidata x saluenensis | 04.0m2 | white | single row 2 : cornish spring | cuspidata x saluenensis | 04.0m2 | pink | single row 3 : francie l | reticulata x saluenensis | 64.0m2 | rose-pink | double row 4 : freedom bell | x williamsii | ...
table_csv/203_699.csv
1
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "which of these plants has red in it's flower colour name?", "which of these plants has deep red as it's flower colour?" ]
1
tom knudsen
[ "Name", "Parentage", "Size", "Flower colour", "Flower type" ]
which of these plants has deep red as it's flower colour?
[ [ "Cornish Snow", "cuspidata x saluenensis", "04.0m2", "white", "single" ], [ "Cornish Spring", "cuspidata x saluenensis", "04.0m2", "pink", "single" ], [ "Francie L", "reticulata x saluenensis", "64.0m2", "rose-pink", "double" ], [ "Freedo...
[ "Tom Knudsen" ]
which of these plants has deep red as it's flower colour? || which of these plants has red in it's flower colour name?
nt-2922
col : name | parentage | size | flower colour | flower type row 1 : cornish snow | cuspidata x saluenensis | 04.0m2 | white | single row 2 : cornish spring | cuspidata x saluenensis | 04.0m2 | pink | single row 3 : francie l | reticulata x saluenensis | 64.0m2 | rose-pink | double row 4 : freedom bell | x williamsii | ...
table_csv/203_699.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all of the plants?" ]
2
cornish snow, cornish spring, francie l, freedom bell, inspiration, leonard messel, royalty, spring festival, tom knudsen, tristrem carlyon
[ "Name", "Parentage", "Size", "Flower colour", "Flower type" ]
what are all of the plants?
[ [ "Cornish Snow", "cuspidata x saluenensis", "04.0m2", "white", "single" ], [ "Cornish Spring", "cuspidata x saluenensis", "04.0m2", "pink", "single" ], [ "Francie L", "reticulata x saluenensis", "64.0m2", "rose-pink", "double" ], [ "Freedo...
[ "Cornish Snow", "Cornish Spring", "Francie L", "Freedom Bell", "Inspiration", "Leonard Messel", "Royalty", "Spring Festival", "Tom Knudsen", "Tristrem Carlyon" ]
what are all of the plants? ||
nt-2922
col : name | parentage | size | flower colour | flower type row 1 : cornish snow | cuspidata x saluenensis | 04.0m2 | white | single row 2 : cornish spring | cuspidata x saluenensis | 04.0m2 | pink | single row 3 : francie l | reticulata x saluenensis | 64.0m2 | rose-pink | double row 4 : freedom bell | x williamsii | ...
table_csv/203_699.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all of the plants?", "and their colors?" ]
2
white, pink, rose-pink, red, rose-pink, rose-pink, light red, pink, deep red, rose pink
[ "Name", "Parentage", "Size", "Flower colour", "Flower type" ]
and their colors?
[ [ "Cornish Snow", "cuspidata x saluenensis", "04.0m2", "white", "single" ], [ "Cornish Spring", "cuspidata x saluenensis", "04.0m2", "pink", "single" ], [ "Francie L", "reticulata x saluenensis", "64.0m2", "rose-pink", "double" ], [ "Freedo...
[ "white", "pink", "rose-pink", "red", "rose-pink", "rose-pink", "light red", "pink", "deep red", "rose pink" ]
and their colors? || what are all of the plants?
nt-2922
col : name | parentage | size | flower colour | flower type row 1 : cornish snow | cuspidata x saluenensis | 04.0m2 | white | single row 2 : cornish spring | cuspidata x saluenensis | 04.0m2 | pink | single row 3 : francie l | reticulata x saluenensis | 64.0m2 | rose-pink | double row 4 : freedom bell | x williamsii | ...
table_csv/203_699.csv
2
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "what are all of the plants?", "and their colors?", "which plant has a deep red color?" ]
2
tom knudsen
[ "Name", "Parentage", "Size", "Flower colour", "Flower type" ]
which plant has a deep red color?
[ [ "Cornish Snow", "cuspidata x saluenensis", "04.0m2", "white", "single" ], [ "Cornish Spring", "cuspidata x saluenensis", "04.0m2", "pink", "single" ], [ "Francie L", "reticulata x saluenensis", "64.0m2", "rose-pink", "double" ], [ "Freedo...
[ "Tom Knudsen" ]
which plant has a deep red color? || and their colors? | what are all of the plants?
nt-4786
col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27
table_csv/203_576.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "which nations participated?" ]
0
japan, china, south korea, north korea, chinese taipei, thailand
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which nations participated?
[ [ "1", "Japan", "5", "2", "0", "7" ], [ "2", "China", "4", "3", "2", "9" ], [ "3", "South Korea", "0", "3", "1", "4" ], [ "4", "North Korea", "0", "1", "0", "1" ], [ "5", "Chinese Taipei", "0"...
[ "Japan", "China", "South Korea", "North Korea", "Chinese Taipei", "Thailand" ]
which nations participated? ||
nt-4786
col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27
table_csv/203_576.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "which nations participated?", "how many gold medals did they receive?" ]
0
5, 4, 0, 0, 0, 0
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many gold medals did they receive?
[ [ "1", "Japan", "5", "2", "0", "7" ], [ "2", "China", "4", "3", "2", "9" ], [ "3", "South Korea", "0", "3", "1", "4" ], [ "4", "North Korea", "0", "1", "0", "1" ], [ "5", "Chinese Taipei", "0"...
[ "5", "4", "0", "0", "0", "0" ]
how many gold medals did they receive? || which nations participated?
nt-4786
col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27
table_csv/203_576.csv
2
{ "column_index": [ 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "which nations participated?", "how many gold medals did they receive?", "what about silver medals?" ]
0
2, 3, 3, 1, 0, 0
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what about silver medals?
[ [ "1", "Japan", "5", "2", "0", "7" ], [ "2", "China", "4", "3", "2", "9" ], [ "3", "South Korea", "0", "3", "1", "4" ], [ "4", "North Korea", "0", "1", "0", "1" ], [ "5", "Chinese Taipei", "0"...
[ "2", "3", "3", "1", "0", "0" ]
what about silver medals? || how many gold medals did they receive? | which nations participated?
nt-4786
col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27
table_csv/203_576.csv
3
{ "column_index": [ 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "which nations participated?", "how many gold medals did they receive?", "what about silver medals?", "and bronze?" ]
0
0, 2, 1, 0, 3, 3
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
and bronze?
[ [ "1", "Japan", "5", "2", "0", "7" ], [ "2", "China", "4", "3", "2", "9" ], [ "3", "South Korea", "0", "3", "1", "4" ], [ "4", "North Korea", "0", "1", "0", "1" ], [ "5", "Chinese Taipei", "0"...
[ "0", "2", "1", "0", "3", "3" ]
and bronze? || what about silver medals? | how many gold medals did they receive? | which nations participated?
nt-4786
col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27
table_csv/203_576.csv
4
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which nations participated?", "how many gold medals did they receive?", "what about silver medals?", "and bronze?", "now, which nation won a medal in each category?" ]
0
china
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
now, which nation won a medal in each category?
[ [ "1", "Japan", "5", "2", "0", "7" ], [ "2", "China", "4", "3", "2", "9" ], [ "3", "South Korea", "0", "3", "1", "4" ], [ "4", "North Korea", "0", "1", "0", "1" ], [ "5", "Chinese Taipei", "0"...
[ "China" ]
now, which nation won a medal in each category? || and bronze? | what about silver medals? | how many gold medals did they receive? | which nations participated?
nt-4786
col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27
table_csv/203_576.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "what countries played in the asian youth volleyball championship?" ]
1
japan, china, south korea, north korea, chinese taipei, thailand
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what countries played in the asian youth volleyball championship?
[ [ "1", "Japan", "5", "2", "0", "7" ], [ "2", "China", "4", "3", "2", "9" ], [ "3", "South Korea", "0", "3", "1", "4" ], [ "4", "North Korea", "0", "1", "0", "1" ], [ "5", "Chinese Taipei", "0"...
[ "Japan", "China", "South Korea", "North Korea", "Chinese Taipei", "Thailand" ]
what countries played in the asian youth volleyball championship? ||
nt-4786
col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27
table_csv/203_576.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 0, 1 ] }
[ "what countries played in the asian youth volleyball championship?", "which country scored more than 1 gold medal?" ]
1
japan, china
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which country scored more than 1 gold medal?
[ [ "1", "Japan", "5", "2", "0", "7" ], [ "2", "China", "4", "3", "2", "9" ], [ "3", "South Korea", "0", "3", "1", "4" ], [ "4", "North Korea", "0", "1", "0", "1" ], [ "5", "Chinese Taipei", "0"...
[ "Japan", "China" ]
which country scored more than 1 gold medal? || what countries played in the asian youth volleyball championship?
nt-4786
col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27
table_csv/203_576.csv
2
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what countries played in the asian youth volleyball championship?", "which country scored more than 1 gold medal?", "what country also then scored more than 1 bronze medal?" ]
1
china
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what country also then scored more than 1 bronze medal?
[ [ "1", "Japan", "5", "2", "0", "7" ], [ "2", "China", "4", "3", "2", "9" ], [ "3", "South Korea", "0", "3", "1", "4" ], [ "4", "North Korea", "0", "1", "0", "1" ], [ "5", "Chinese Taipei", "0"...
[ "China" ]
what country also then scored more than 1 bronze medal? || which country scored more than 1 gold medal? | what countries played in the asian youth volleyball championship?
nt-4786
col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27
table_csv/203_576.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "which countries competed?" ]
2
japan, china, south korea, north korea, chinese taipei, thailand
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries competed?
[ [ "1", "Japan", "5", "2", "0", "7" ], [ "2", "China", "4", "3", "2", "9" ], [ "3", "South Korea", "0", "3", "1", "4" ], [ "4", "North Korea", "0", "1", "0", "1" ], [ "5", "Chinese Taipei", "0"...
[ "Japan", "China", "South Korea", "North Korea", "Chinese Taipei", "Thailand" ]
which countries competed? ||
nt-4786
col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27
table_csv/203_576.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 0, 1 ] }
[ "which countries competed?", "which countries won at least one gold medal?" ]
2
japan, china
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries won at least one gold medal?
[ [ "1", "Japan", "5", "2", "0", "7" ], [ "2", "China", "4", "3", "2", "9" ], [ "3", "South Korea", "0", "3", "1", "4" ], [ "4", "North Korea", "0", "1", "0", "1" ], [ "5", "Chinese Taipei", "0"...
[ "Japan", "China" ]
which countries won at least one gold medal? || which countries competed?
nt-4786
col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27
table_csv/203_576.csv
2
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which countries competed?", "which countries won at least one gold medal?", "which of those also won a bronze medal?" ]
2
china
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which of those also won a bronze medal?
[ [ "1", "Japan", "5", "2", "0", "7" ], [ "2", "China", "4", "3", "2", "9" ], [ "3", "South Korea", "0", "3", "1", "4" ], [ "4", "North Korea", "0", "1", "0", "1" ], [ "5", "Chinese Taipei", "0"...
[ "China" ]
which of those also won a bronze medal? || which countries won at least one gold medal? | which countries competed?
nt-13995
col : title | release | 6th gen | handheld | note row 1 : buggy grand prix: kattobi! dai-sakus | 2003 | playstation 2 | nan | nan row 2 : gunbird special edition / gunbird 1&2 | 2004 | playstation 2 | nan | nan row 3 : psikyo shooting collection vol. 1: strikers | 2004 | playstation 2 | nan | released and published in ...
table_csv/203_583.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all of the titles?" ]
0
buggy grand prix: kattobi! dai-sakus, gunbird special edition / gunbird 1&2, psikyo shooting collection vol. 1: strikers, psikyo shooting collection vol. 2: sengoku, psikyo shooting collection vol. 3: sol divide, taisen hot gimmick: cosplay mahjong, sengoku cannon, taisen hot gimmick: axes-jong
[ "Title", "Release", "6th Gen", "Handheld", "Note" ]
what are all of the titles?
[ [ "Buggy Grand Prix: Kattobi! Dai-Sakus", "2003", "PlayStation 2", "nan", "nan" ], [ "Gunbird Special Edition / Gunbird 1&2", "2004", "PlayStation 2", "nan", "nan" ], [ "Psikyo Shooting Collection Vol. 1: Strikers", "2004", "PlayStation 2", "nan", ...
[ "Buggy Grand Prix: Kattobi! Dai-Sakus", "Gunbird Special Edition / Gunbird 1&2", "Psikyo Shooting Collection Vol. 1: Strikers", "Psikyo Shooting Collection Vol. 2: Sengoku", "Psikyo Shooting Collection Vol. 3: Sol Divide", "Taisen Hot Gimmick: Cosplay Mahjong", "Sengoku Cannon", "Taisen Hot Gimmick: A...
what are all of the titles? ||
nt-13995
col : title | release | 6th gen | handheld | note row 1 : buggy grand prix: kattobi! dai-sakus | 2003 | playstation 2 | nan | nan row 2 : gunbird special edition / gunbird 1&2 | 2004 | playstation 2 | nan | nan row 3 : psikyo shooting collection vol. 1: strikers | 2004 | playstation 2 | nan | released and published in ...
table_csv/203_583.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all of the titles?", "what are their notes?" ]
0
, , released and published in europe by play it as 1945 i & ii, , , , ,
[ "Title", "Release", "6th Gen", "Handheld", "Note" ]
what are their notes?
[ [ "Buggy Grand Prix: Kattobi! Dai-Sakus", "2003", "PlayStation 2", "nan", "nan" ], [ "Gunbird Special Edition / Gunbird 1&2", "2004", "PlayStation 2", "nan", "nan" ], [ "Psikyo Shooting Collection Vol. 1: Strikers", "2004", "PlayStation 2", "nan", ...
[ "", "", "Released and published in Europe by Play It as 1945 I & II", "", "", "", "", "" ]
what are their notes? || what are all of the titles?
nt-13995
col : title | release | 6th gen | handheld | note row 1 : buggy grand prix: kattobi! dai-sakus | 2003 | playstation 2 | nan | nan row 2 : gunbird special edition / gunbird 1&2 | 2004 | playstation 2 | nan | nan row 3 : psikyo shooting collection vol. 1: strikers | 2004 | playstation 2 | nan | released and published in ...
table_csv/203_583.csv
2
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what are all of the titles?", "what are their notes?", "now, which game was published in europe?" ]
0
psikyo shooting collection vol. 1: strikers
[ "Title", "Release", "6th Gen", "Handheld", "Note" ]
now, which game was published in europe?
[ [ "Buggy Grand Prix: Kattobi! Dai-Sakus", "2003", "PlayStation 2", "nan", "nan" ], [ "Gunbird Special Edition / Gunbird 1&2", "2004", "PlayStation 2", "nan", "nan" ], [ "Psikyo Shooting Collection Vol. 1: Strikers", "2004", "PlayStation 2", "nan", ...
[ "Psikyo Shooting Collection Vol. 1: Strikers" ]
now, which game was published in europe? || what are their notes? | what are all of the titles?
nt-13995
col : title | release | 6th gen | handheld | note row 1 : buggy grand prix: kattobi! dai-sakus | 2003 | playstation 2 | nan | nan row 2 : gunbird special edition / gunbird 1&2 | 2004 | playstation 2 | nan | nan row 3 : psikyo shooting collection vol. 1: strikers | 2004 | playstation 2 | nan | released and published in ...
table_csv/203_583.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are the games listed?" ]
1
buggy grand prix: kattobi! dai-sakus, gunbird special edition / gunbird 1&2, psikyo shooting collection vol. 1: strikers, psikyo shooting collection vol. 2: sengoku, psikyo shooting collection vol. 3: sol divide, taisen hot gimmick: cosplay mahjong, sengoku cannon, taisen hot gimmick: axes-jong
[ "Title", "Release", "6th Gen", "Handheld", "Note" ]
what are the games listed?
[ [ "Buggy Grand Prix: Kattobi! Dai-Sakus", "2003", "PlayStation 2", "nan", "nan" ], [ "Gunbird Special Edition / Gunbird 1&2", "2004", "PlayStation 2", "nan", "nan" ], [ "Psikyo Shooting Collection Vol. 1: Strikers", "2004", "PlayStation 2", "nan", ...
[ "Buggy Grand Prix: Kattobi! Dai-Sakus", "Gunbird Special Edition / Gunbird 1&2", "Psikyo Shooting Collection Vol. 1: Strikers", "Psikyo Shooting Collection Vol. 2: Sengoku", "Psikyo Shooting Collection Vol. 3: Sol Divide", "Taisen Hot Gimmick: Cosplay Mahjong", "Sengoku Cannon", "Taisen Hot Gimmick: A...
what are the games listed? ||
nt-13995
col : title | release | 6th gen | handheld | note row 1 : buggy grand prix: kattobi! dai-sakus | 2003 | playstation 2 | nan | nan row 2 : gunbird special edition / gunbird 1&2 | 2004 | playstation 2 | nan | nan row 3 : psikyo shooting collection vol. 1: strikers | 2004 | playstation 2 | nan | released and published in ...
table_csv/203_583.csv
1
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what are the games listed?", "of these which had a different name in europe?" ]
1
psikyo shooting collection vol. 1: strikers
[ "Title", "Release", "6th Gen", "Handheld", "Note" ]
of these which had a different name in europe?
[ [ "Buggy Grand Prix: Kattobi! Dai-Sakus", "2003", "PlayStation 2", "nan", "nan" ], [ "Gunbird Special Edition / Gunbird 1&2", "2004", "PlayStation 2", "nan", "nan" ], [ "Psikyo Shooting Collection Vol. 1: Strikers", "2004", "PlayStation 2", "nan", ...
[ "Psikyo Shooting Collection Vol. 1: Strikers" ]
of these which had a different name in europe? || what are the games listed?
nt-13995
col : title | release | 6th gen | handheld | note row 1 : buggy grand prix: kattobi! dai-sakus | 2003 | playstation 2 | nan | nan row 2 : gunbird special edition / gunbird 1&2 | 2004 | playstation 2 | nan | nan row 3 : psikyo shooting collection vol. 1: strikers | 2004 | playstation 2 | nan | released and published in ...
table_csv/203_583.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are the titles?" ]
2
buggy grand prix: kattobi! dai-sakus, gunbird special edition / gunbird 1&2, psikyo shooting collection vol. 1: strikers, psikyo shooting collection vol. 2: sengoku, psikyo shooting collection vol. 3: sol divide, taisen hot gimmick: cosplay mahjong, sengoku cannon, taisen hot gimmick: axes-jong
[ "Title", "Release", "6th Gen", "Handheld", "Note" ]
what are the titles?
[ [ "Buggy Grand Prix: Kattobi! Dai-Sakus", "2003", "PlayStation 2", "nan", "nan" ], [ "Gunbird Special Edition / Gunbird 1&2", "2004", "PlayStation 2", "nan", "nan" ], [ "Psikyo Shooting Collection Vol. 1: Strikers", "2004", "PlayStation 2", "nan", ...
[ "Buggy Grand Prix: Kattobi! Dai-Sakus", "Gunbird Special Edition / Gunbird 1&2", "Psikyo Shooting Collection Vol. 1: Strikers", "Psikyo Shooting Collection Vol. 2: Sengoku", "Psikyo Shooting Collection Vol. 3: Sol Divide", "Taisen Hot Gimmick: Cosplay Mahjong", "Sengoku Cannon", "Taisen Hot Gimmick: A...
what are the titles? ||
nt-13995
col : title | release | 6th gen | handheld | note row 1 : buggy grand prix: kattobi! dai-sakus | 2003 | playstation 2 | nan | nan row 2 : gunbird special edition / gunbird 1&2 | 2004 | playstation 2 | nan | nan row 3 : psikyo shooting collection vol. 1: strikers | 2004 | playstation 2 | nan | released and published in ...
table_csv/203_583.csv
1
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what are the titles?", "what title has a note that indicates it has a different name in europe?" ]
2
psikyo shooting collection vol. 1: strikers
[ "Title", "Release", "6th Gen", "Handheld", "Note" ]
what title has a note that indicates it has a different name in europe?
[ [ "Buggy Grand Prix: Kattobi! Dai-Sakus", "2003", "PlayStation 2", "nan", "nan" ], [ "Gunbird Special Edition / Gunbird 1&2", "2004", "PlayStation 2", "nan", "nan" ], [ "Psikyo Shooting Collection Vol. 1: Strikers", "2004", "PlayStation 2", "nan", ...
[ "Psikyo Shooting Collection Vol. 1: Strikers" ]
what title has a note that indicates it has a different name in europe? || what are the titles?
nt-6282
col : date | pos. | name | from | fee row 1 : 27 june 2007 | df | aaron hughes | aston villa | ps1,000,000 row 2 : 5 july 2007 | mf | steven davis | aston villa | ps4,000,000 row 3 : 9 july 2007 | fw | diomansy kamara | west bromwich albion | ps6,000,000 row 4 : 12 july 2007 | df | chris baird | southampton | ps3,035,0...
table_csv/204_686.csv
0
{ "column_index": [ 4 ], "row_index": [ 1 ] }
[ "what was steven davis' fee?" ]
0
ps4,000,000
[ "Date", "Pos.", "Name", "From", "Fee" ]
what was steven davis' fee?
[ [ "27 June 2007", "DF", "Aaron Hughes", "Aston Villa", "PS1,000,000" ], [ "5 July 2007", "MF", "Steven Davis", "Aston Villa", "PS4,000,000" ], [ "9 July 2007", "FW", "Diomansy Kamara", "West Bromwich Albion", "PS6,000,000" ], [ "12 July 200...
[ "PS4,000,000" ]
what was steven davis' fee? ||
nt-6282
col : date | pos. | name | from | fee row 1 : 27 june 2007 | df | aaron hughes | aston villa | ps1,000,000 row 2 : 5 july 2007 | mf | steven davis | aston villa | ps4,000,000 row 3 : 9 july 2007 | fw | diomansy kamara | west bromwich albion | ps6,000,000 row 4 : 12 july 2007 | df | chris baird | southampton | ps3,035,0...
table_csv/204_686.csv
1
{ "column_index": [ 4 ], "row_index": [ 3 ] }
[ "what was steven davis' fee?", "what was chris baird's fee?" ]
0
ps3,035,000
[ "Date", "Pos.", "Name", "From", "Fee" ]
what was chris baird's fee?
[ [ "27 June 2007", "DF", "Aaron Hughes", "Aston Villa", "PS1,000,000" ], [ "5 July 2007", "MF", "Steven Davis", "Aston Villa", "PS4,000,000" ], [ "9 July 2007", "FW", "Diomansy Kamara", "West Bromwich Albion", "PS6,000,000" ], [ "12 July 200...
[ "PS3,035,000" ]
what was chris baird's fee? || what was steven davis' fee?
nt-6282
col : date | pos. | name | from | fee row 1 : 27 june 2007 | df | aaron hughes | aston villa | ps1,000,000 row 2 : 5 july 2007 | mf | steven davis | aston villa | ps4,000,000 row 3 : 9 july 2007 | fw | diomansy kamara | west bromwich albion | ps6,000,000 row 4 : 12 july 2007 | df | chris baird | southampton | ps3,035,0...
table_csv/204_686.csv
2
{ "column_index": [ 2 ], "row_index": [ 1 ] }
[ "what was steven davis' fee?", "what was chris baird's fee?", "who has the higher fee between davis and baird?" ]
0
steven davis
[ "Date", "Pos.", "Name", "From", "Fee" ]
who has the higher fee between davis and baird?
[ [ "27 June 2007", "DF", "Aaron Hughes", "Aston Villa", "PS1,000,000" ], [ "5 July 2007", "MF", "Steven Davis", "Aston Villa", "PS4,000,000" ], [ "9 July 2007", "FW", "Diomansy Kamara", "West Bromwich Albion", "PS6,000,000" ], [ "12 July 200...
[ "Steven Davis" ]
who has the higher fee between davis and baird? || what was chris baird's fee? | what was steven davis' fee?
nt-6282
col : date | pos. | name | from | fee row 1 : 27 june 2007 | df | aaron hughes | aston villa | ps1,000,000 row 2 : 5 july 2007 | mf | steven davis | aston villa | ps4,000,000 row 3 : 9 july 2007 | fw | diomansy kamara | west bromwich albion | ps6,000,000 row 4 : 12 july 2007 | df | chris baird | southampton | ps3,035,0...
table_csv/204_686.csv
0
{ "column_index": [ 2 ], "row_index": [ 2 ] }
[ "who had the highest fee?" ]
1
diomansy kamara
[ "Date", "Pos.", "Name", "From", "Fee" ]
who had the highest fee?
[ [ "27 June 2007", "DF", "Aaron Hughes", "Aston Villa", "PS1,000,000" ], [ "5 July 2007", "MF", "Steven Davis", "Aston Villa", "PS4,000,000" ], [ "9 July 2007", "FW", "Diomansy Kamara", "West Bromwich Albion", "PS6,000,000" ], [ "12 July 200...
[ "Diomansy Kamara" ]
who had the highest fee? ||
nt-6282
col : date | pos. | name | from | fee row 1 : 27 june 2007 | df | aaron hughes | aston villa | ps1,000,000 row 2 : 5 july 2007 | mf | steven davis | aston villa | ps4,000,000 row 3 : 9 july 2007 | fw | diomansy kamara | west bromwich albion | ps6,000,000 row 4 : 12 july 2007 | df | chris baird | southampton | ps3,035,0...
table_csv/204_686.csv
1
{ "column_index": [ 2 ], "row_index": [ 1 ] }
[ "who had the highest fee?", "who had the higher fee between steven davis and chris baird?" ]
1
steven davis
[ "Date", "Pos.", "Name", "From", "Fee" ]
who had the higher fee between steven davis and chris baird?
[ [ "27 June 2007", "DF", "Aaron Hughes", "Aston Villa", "PS1,000,000" ], [ "5 July 2007", "MF", "Steven Davis", "Aston Villa", "PS4,000,000" ], [ "9 July 2007", "FW", "Diomansy Kamara", "West Bromwich Albion", "PS6,000,000" ], [ "12 July 200...
[ "Steven Davis" ]
who had the higher fee between steven davis and chris baird? || who had the highest fee?
nt-6282
col : date | pos. | name | from | fee row 1 : 27 june 2007 | df | aaron hughes | aston villa | ps1,000,000 row 2 : 5 july 2007 | mf | steven davis | aston villa | ps4,000,000 row 3 : 9 july 2007 | fw | diomansy kamara | west bromwich albion | ps6,000,000 row 4 : 12 july 2007 | df | chris baird | southampton | ps3,035,0...
table_csv/204_686.csv
0
{ "column_index": [ 4 ], "row_index": [ 1 ] }
[ "what was the fee of steven davis?" ]
2
ps4,000,000
[ "Date", "Pos.", "Name", "From", "Fee" ]
what was the fee of steven davis?
[ [ "27 June 2007", "DF", "Aaron Hughes", "Aston Villa", "PS1,000,000" ], [ "5 July 2007", "MF", "Steven Davis", "Aston Villa", "PS4,000,000" ], [ "9 July 2007", "FW", "Diomansy Kamara", "West Bromwich Albion", "PS6,000,000" ], [ "12 July 200...
[ "PS4,000,000" ]
what was the fee of steven davis? ||
nt-6282
col : date | pos. | name | from | fee row 1 : 27 june 2007 | df | aaron hughes | aston villa | ps1,000,000 row 2 : 5 july 2007 | mf | steven davis | aston villa | ps4,000,000 row 3 : 9 july 2007 | fw | diomansy kamara | west bromwich albion | ps6,000,000 row 4 : 12 july 2007 | df | chris baird | southampton | ps3,035,0...
table_csv/204_686.csv
1
{ "column_index": [ 4 ], "row_index": [ 3 ] }
[ "what was the fee of steven davis?", "what was the fee of chris baird?" ]
2
ps3,035,000
[ "Date", "Pos.", "Name", "From", "Fee" ]
what was the fee of chris baird?
[ [ "27 June 2007", "DF", "Aaron Hughes", "Aston Villa", "PS1,000,000" ], [ "5 July 2007", "MF", "Steven Davis", "Aston Villa", "PS4,000,000" ], [ "9 July 2007", "FW", "Diomansy Kamara", "West Bromwich Albion", "PS6,000,000" ], [ "12 July 200...
[ "PS3,035,000" ]
what was the fee of chris baird? || what was the fee of steven davis?
nt-6282
col : date | pos. | name | from | fee row 1 : 27 june 2007 | df | aaron hughes | aston villa | ps1,000,000 row 2 : 5 july 2007 | mf | steven davis | aston villa | ps4,000,000 row 3 : 9 july 2007 | fw | diomansy kamara | west bromwich albion | ps6,000,000 row 4 : 12 july 2007 | df | chris baird | southampton | ps3,035,0...
table_csv/204_686.csv
2
{ "column_index": [ 2 ], "row_index": [ 1 ] }
[ "what was the fee of steven davis?", "what was the fee of chris baird?", "of these two fees, whose was greater?" ]
2
steven davis
[ "Date", "Pos.", "Name", "From", "Fee" ]
of these two fees, whose was greater?
[ [ "27 June 2007", "DF", "Aaron Hughes", "Aston Villa", "PS1,000,000" ], [ "5 July 2007", "MF", "Steven Davis", "Aston Villa", "PS4,000,000" ], [ "9 July 2007", "FW", "Diomansy Kamara", "West Bromwich Albion", "PS6,000,000" ], [ "12 July 200...
[ "Steven Davis" ]
of these two fees, whose was greater? || what was the fee of chris baird? | what was the fee of steven davis?
nt-13008
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond l...
table_csv/204_935.csv
0
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what year did nick cheung win the award" ]
0
1998
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
what year did nick cheung win the award
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan"...
[ "1998" ]
what year did nick cheung win the award ||
nt-13008
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond l...
table_csv/204_935.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what year did nick cheung win the award", "who else won the award in this year?" ]
0
chin kar lok
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
who else won the award in this year?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan"...
[ "Chin Kar Lok" ]
who else won the award in this year? || what year did nick cheung win the award
nt-13008
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond l...
table_csv/204_935.csv
0
{ "column_index": [ 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 ] }
[ "who are all the winners of the award?" ]
1
nick cheung, chin kar lok, moses chan, raymond lam, ron ng, bosco wong, kenneth ma, amigo choi, wong cho lam, ngo ka-nin, raymond wong, jin au-yeung, oscar leung
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
who are all the winners of the award?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan"...
[ "Nick Cheung", "Chin Kar Lok", "Moses Chan", "Raymond Lam", "Ron Ng", "Bosco Wong", "Kenneth Ma", "Amigo Choi", "Wong Cho Lam", "Ngo Ka-nin", "Raymond Wong", "Jin Au-Yeung", "Oscar Leung" ]
who are all the winners of the award? ||
nt-13008
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond l...
table_csv/204_935.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 0, 1 ] }
[ "who are all the winners of the award?", "who won in 1988?" ]
1
nick cheung, chin kar lok
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
who won in 1988?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan"...
[ "Nick Cheung", "Chin Kar Lok" ]
who won in 1988? || who are all the winners of the award?
nt-13008
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond l...
table_csv/204_935.csv
2
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "who are all the winners of the award?", "who won in 1988?", "of those, who is the older winner?" ]
1
chin kar lok
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
of those, who is the older winner?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan"...
[ "Chin Kar Lok" ]
of those, who is the older winner? || who won in 1988? | who are all the winners of the award?
nt-13008
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond l...
table_csv/204_935.csv
0
{ "column_index": [ 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 ] }
[ "what are all the artist names?" ]
2
nick cheung, chin kar lok, moses chan, raymond lam, ron ng, bosco wong, kenneth ma, amigo choi, wong cho lam, ngo ka-nin, raymond wong, jin au-yeung, oscar leung
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
what are all the artist names?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan"...
[ "Nick Cheung", "Chin Kar Lok", "Moses Chan", "Raymond Lam", "Ron Ng", "Bosco Wong", "Kenneth Ma", "Amigo Choi", "Wong Cho Lam", "Ngo Ka-nin", "Raymond Wong", "Jin Au-Yeung", "Oscar Leung" ]
what are all the artist names? ||
nt-13008
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond l...
table_csv/204_935.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "what are all the artist names?", "when did they receive an award?" ]
2
1998, 1998, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
when did they receive an award?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan"...
[ "1998", "1998", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012" ]
when did they receive an award? || what are all the artist names?
nt-13008
col : year | name | birth date | winner | awarding age | unnamed: 5 row 1 : 1998 | nick cheung | 1967-12-02 | winner | 30 years, 352 days | nan row 2 : 1998 | chin kar lok | 1965-08-06 | winner | 33 years, 105 days | nan row 3 : 2002 | moses chan | 1971-04-16 | winner | 31 years, 217 days | nan row 4 : 2003 | raymond l...
table_csv/204_935.csv
2
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what are all the artist names?", "when did they receive an award?", "along with nick cheung, which other artist won that year?" ]
2
chin kar lok
[ "Year", "Name", "Birth Date", "Winner", "Awarding Age", "Unnamed: 5" ]
along with nick cheung, which other artist won that year?
[ [ "1998", "Nick Cheung", "1967-12-02", "Winner", "30 years, 352 days", "nan" ], [ "1998", "Chin Kar Lok", "1965-08-06", "Winner", "33 years, 105 days", "nan" ], [ "2002", "Moses Chan", "1971-04-16", "Winner", "31 years, 217 days", "nan"...
[ "Chin Kar Lok" ]
along with nick cheung, which other artist won that year? || when did they receive an award? | what are all the artist names?
ns-2603
col : institution | location | nickname | founded | type | enrollment | joined mac row 1 : delaware valley college | doylestown, pennsylvania | aggies | 1917 | private/non-sectarian | 2,241 | 1965 row 2 : desales university | center valley, pennsylvania | bulldogs | 1965 | private/catholic | 3,199 | 1997 row 3 : easter...
table_csv/203_518.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all of the schools?" ]
0
delaware valley college, desales university, eastern university, fairleigh dickinson university-florham, king's college, manhattanville college, misericordia university, wilkes university
[ "Institution", "Location", "Nickname", "Founded", "Type", "Enrollment", "Joined MAC" ]
what are all of the schools?
[ [ "Delaware Valley College", "Doylestown, Pennsylvania", "Aggies", "1917", "Private/Non-sectarian", "2,241", "1965" ], [ "DeSales University", "Center Valley, Pennsylvania", "Bulldogs", "1965", "Private/Catholic", "3,199", "1997" ], [ "Eastern Univ...
[ "Delaware Valley College", "DeSales University", "Eastern University", "Fairleigh Dickinson University-Florham", "King's College", "Manhattanville College", "Misericordia University", "Wilkes University" ]
what are all of the schools? ||
ns-2603
col : institution | location | nickname | founded | type | enrollment | joined mac row 1 : delaware valley college | doylestown, pennsylvania | aggies | 1917 | private/non-sectarian | 2,241 | 1965 row 2 : desales university | center valley, pennsylvania | bulldogs | 1965 | private/catholic | 3,199 | 1997 row 3 : easter...
table_csv/203_518.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all of the schools?", "and their type?" ]
0
private/non-sectarian, private/catholic, private/baptist, private/non-sectarian, private/catholic, private/non-sectarian, private/catholic, private/non-sectarian
[ "Institution", "Location", "Nickname", "Founded", "Type", "Enrollment", "Joined MAC" ]
and their type?
[ [ "Delaware Valley College", "Doylestown, Pennsylvania", "Aggies", "1917", "Private/Non-sectarian", "2,241", "1965" ], [ "DeSales University", "Center Valley, Pennsylvania", "Bulldogs", "1965", "Private/Catholic", "3,199", "1997" ], [ "Eastern Univ...
[ "Private/Non-sectarian", "Private/Catholic", "Private/Baptist", "Private/Non-sectarian", "Private/Catholic", "Private/Non-sectarian", "Private/Catholic", "Private/Non-sectarian" ]
and their type? || what are all of the schools?
ns-2603
col : institution | location | nickname | founded | type | enrollment | joined mac row 1 : delaware valley college | doylestown, pennsylvania | aggies | 1917 | private/non-sectarian | 2,241 | 1965 row 2 : desales university | center valley, pennsylvania | bulldogs | 1965 | private/catholic | 3,199 | 1997 row 3 : easter...
table_csv/203_518.csv
2
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what are all of the schools?", "and their type?", "which schools are private/non-sectarian?" ]
0
delaware valley college
[ "Institution", "Location", "Nickname", "Founded", "Type", "Enrollment", "Joined MAC" ]
which schools are private/non-sectarian?
[ [ "Delaware Valley College", "Doylestown, Pennsylvania", "Aggies", "1917", "Private/Non-sectarian", "2,241", "1965" ], [ "DeSales University", "Center Valley, Pennsylvania", "Bulldogs", "1965", "Private/Catholic", "3,199", "1997" ], [ "Eastern Univ...
[ "Delaware Valley College" ]
which schools are private/non-sectarian? || and their type? | what are all of the schools?
ns-2603
col : institution | location | nickname | founded | type | enrollment | joined mac row 1 : delaware valley college | doylestown, pennsylvania | aggies | 1917 | private/non-sectarian | 2,241 | 1965 row 2 : desales university | center valley, pennsylvania | bulldogs | 1965 | private/catholic | 3,199 | 1997 row 3 : easter...
table_csv/203_518.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what institutions are part of the middle atlantic conferences?" ]
1
delaware valley college, desales university, eastern university, fairleigh dickinson university-florham, king's college, manhattanville college, misericordia university, wilkes university
[ "Institution", "Location", "Nickname", "Founded", "Type", "Enrollment", "Joined MAC" ]
what institutions are part of the middle atlantic conferences?
[ [ "Delaware Valley College", "Doylestown, Pennsylvania", "Aggies", "1917", "Private/Non-sectarian", "2,241", "1965" ], [ "DeSales University", "Center Valley, Pennsylvania", "Bulldogs", "1965", "Private/Catholic", "3,199", "1997" ], [ "Eastern Univ...
[ "Delaware Valley College", "DeSales University", "Eastern University", "Fairleigh Dickinson University-Florham", "King's College", "Manhattanville College", "Misericordia University", "Wilkes University" ]
what institutions are part of the middle atlantic conferences? ||
ns-2603
col : institution | location | nickname | founded | type | enrollment | joined mac row 1 : delaware valley college | doylestown, pennsylvania | aggies | 1917 | private/non-sectarian | 2,241 | 1965 row 2 : desales university | center valley, pennsylvania | bulldogs | 1965 | private/catholic | 3,199 | 1997 row 3 : easter...
table_csv/203_518.csv
1
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 0, 3, 5, 7 ] }
[ "what institutions are part of the middle atlantic conferences?", "of the list of middle atlantic conference institutions, which ones are a private/non-sectarian college?" ]
1
delaware valley college, fairleigh dickinson university-florham, manhattanville college, wilkes university
[ "Institution", "Location", "Nickname", "Founded", "Type", "Enrollment", "Joined MAC" ]
of the list of middle atlantic conference institutions, which ones are a private/non-sectarian college?
[ [ "Delaware Valley College", "Doylestown, Pennsylvania", "Aggies", "1917", "Private/Non-sectarian", "2,241", "1965" ], [ "DeSales University", "Center Valley, Pennsylvania", "Bulldogs", "1965", "Private/Catholic", "3,199", "1997" ], [ "Eastern Univ...
[ "Delaware Valley College", "Fairleigh Dickinson University-Florham", "Manhattanville College", "Wilkes University" ]
of the list of middle atlantic conference institutions, which ones are a private/non-sectarian college? || what institutions are part of the middle atlantic conferences?
ns-2603
col : institution | location | nickname | founded | type | enrollment | joined mac row 1 : delaware valley college | doylestown, pennsylvania | aggies | 1917 | private/non-sectarian | 2,241 | 1965 row 2 : desales university | center valley, pennsylvania | bulldogs | 1965 | private/catholic | 3,199 | 1997 row 3 : easter...
table_csv/203_518.csv
2
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what institutions are part of the middle atlantic conferences?", "of the list of middle atlantic conference institutions, which ones are a private/non-sectarian college?", "which private/non-sectarian college was founded in 1917?" ]
1
delaware valley college
[ "Institution", "Location", "Nickname", "Founded", "Type", "Enrollment", "Joined MAC" ]
which private/non-sectarian college was founded in 1917?
[ [ "Delaware Valley College", "Doylestown, Pennsylvania", "Aggies", "1917", "Private/Non-sectarian", "2,241", "1965" ], [ "DeSales University", "Center Valley, Pennsylvania", "Bulldogs", "1965", "Private/Catholic", "3,199", "1997" ], [ "Eastern Univ...
[ "Delaware Valley College" ]
which private/non-sectarian college was founded in 1917? || of the list of middle atlantic conference institutions, which ones are a private/non-sectarian college? | what institutions are part of the middle atlantic conferences?
ns-2603
col : institution | location | nickname | founded | type | enrollment | joined mac row 1 : delaware valley college | doylestown, pennsylvania | aggies | 1917 | private/non-sectarian | 2,241 | 1965 row 2 : desales university | center valley, pennsylvania | bulldogs | 1965 | private/catholic | 3,199 | 1997 row 3 : easter...
table_csv/203_518.csv
0
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 0, 3, 5, 7 ] }
[ "what are private/non-sectarian schools?" ]
2
delaware valley college, fairleigh dickinson university-florham, manhattanville college, wilkes university
[ "Institution", "Location", "Nickname", "Founded", "Type", "Enrollment", "Joined MAC" ]
what are private/non-sectarian schools?
[ [ "Delaware Valley College", "Doylestown, Pennsylvania", "Aggies", "1917", "Private/Non-sectarian", "2,241", "1965" ], [ "DeSales University", "Center Valley, Pennsylvania", "Bulldogs", "1965", "Private/Catholic", "3,199", "1997" ], [ "Eastern Univ...
[ "Delaware Valley College", "Fairleigh Dickinson University-Florham", "Manhattanville College", "Wilkes University" ]
what are private/non-sectarian schools? ||
ns-2603
col : institution | location | nickname | founded | type | enrollment | joined mac row 1 : delaware valley college | doylestown, pennsylvania | aggies | 1917 | private/non-sectarian | 2,241 | 1965 row 2 : desales university | center valley, pennsylvania | bulldogs | 1965 | private/catholic | 3,199 | 1997 row 3 : easter...
table_csv/203_518.csv
1
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what are private/non-sectarian schools?", "which was founded in 1917?" ]
2
delaware valley college
[ "Institution", "Location", "Nickname", "Founded", "Type", "Enrollment", "Joined MAC" ]
which was founded in 1917?
[ [ "Delaware Valley College", "Doylestown, Pennsylvania", "Aggies", "1917", "Private/Non-sectarian", "2,241", "1965" ], [ "DeSales University", "Center Valley, Pennsylvania", "Bulldogs", "1965", "Private/Catholic", "3,199", "1997" ], [ "Eastern Univ...
[ "Delaware Valley College" ]
which was founded in 1917? || what are private/non-sectarian schools?
nt-12028
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 ...
table_csv/203_129.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "who where the finalists in how do you solve a problem like maria?" ]
0
laura sicurello, belinda evans, meliz serman, simona armstrong, leanne dobinson, abi finley, aoife mulholland, siobhan dillon, helena blackman, connie fisher
[ "Finalist", "Age", "From", "Dress colour", "Status" ]
who where the finalists in how do you solve a problem like maria?
[ [ "Laura Sicurello", "26", "Milton Keynes", "Yellow", "Eliminated 1st in week 1" ], [ "Belinda Evans", "28", "Somerset", "Dark blue", "Eliminated 2nd in week 2" ], [ "Meliz Serman", "23", "Chingford, London", "Gold", "Eliminated 3rd in week 3" ],...
[ "Laura Sicurello", "Belinda Evans", "Meliz Serman", "Simona Armstrong", "Leanne Dobinson", "Abi Finley", "Aoife Mulholland", "Siobhan Dillon", "Helena Blackman", "Connie Fisher" ]
who where the finalists in how do you solve a problem like maria? ||
nt-12028
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 ...
table_csv/203_129.csv
1
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "who where the finalists in how do you solve a problem like maria?", "which of these had dress colour pink?" ]
0
helena blackman
[ "Finalist", "Age", "From", "Dress colour", "Status" ]
which of these had dress colour pink?
[ [ "Laura Sicurello", "26", "Milton Keynes", "Yellow", "Eliminated 1st in week 1" ], [ "Belinda Evans", "28", "Somerset", "Dark blue", "Eliminated 2nd in week 2" ], [ "Meliz Serman", "23", "Chingford, London", "Gold", "Eliminated 3rd in week 3" ],...
[ "Helena Blackman" ]
which of these had dress colour pink? || who where the finalists in how do you solve a problem like maria?
nt-12028
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 ...
table_csv/203_129.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are the dress colors?" ]
1
yellow, dark blue, gold, purple, lilac, light blue, green, red, pink, orange
[ "Finalist", "Age", "From", "Dress colour", "Status" ]
what are the dress colors?
[ [ "Laura Sicurello", "26", "Milton Keynes", "Yellow", "Eliminated 1st in week 1" ], [ "Belinda Evans", "28", "Somerset", "Dark blue", "Eliminated 2nd in week 2" ], [ "Meliz Serman", "23", "Chingford, London", "Gold", "Eliminated 3rd in week 3" ],...
[ "Yellow", "Dark blue", "Gold", "Purple", "Lilac", "Light blue", "Green", "Red", "Pink", "Orange" ]
what are the dress colors? ||
nt-12028
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 ...
table_csv/203_129.csv
1
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "what are the dress colors?", "which finalist wore pink" ]
1
helena blackman
[ "Finalist", "Age", "From", "Dress colour", "Status" ]
which finalist wore pink
[ [ "Laura Sicurello", "26", "Milton Keynes", "Yellow", "Eliminated 1st in week 1" ], [ "Belinda Evans", "28", "Somerset", "Dark blue", "Eliminated 2nd in week 2" ], [ "Meliz Serman", "23", "Chingford, London", "Gold", "Eliminated 3rd in week 3" ],...
[ "Helena Blackman" ]
which finalist wore pink || what are the dress colors?
nt-12028
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 ...
table_csv/203_129.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "who are all of the finalists?" ]
2
laura sicurello, belinda evans, meliz serman, simona armstrong, leanne dobinson, abi finley, aoife mulholland, siobhan dillon, helena blackman, connie fisher
[ "Finalist", "Age", "From", "Dress colour", "Status" ]
who are all of the finalists?
[ [ "Laura Sicurello", "26", "Milton Keynes", "Yellow", "Eliminated 1st in week 1" ], [ "Belinda Evans", "28", "Somerset", "Dark blue", "Eliminated 2nd in week 2" ], [ "Meliz Serman", "23", "Chingford, London", "Gold", "Eliminated 3rd in week 3" ],...
[ "Laura Sicurello", "Belinda Evans", "Meliz Serman", "Simona Armstrong", "Leanne Dobinson", "Abi Finley", "Aoife Mulholland", "Siobhan Dillon", "Helena Blackman", "Connie Fisher" ]
who are all of the finalists? ||
nt-12028
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 ...
table_csv/203_129.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "who are all of the finalists?", "what color of dress did they wear?" ]
2
yellow, dark blue, gold, purple, lilac, light blue, green, red, pink, orange
[ "Finalist", "Age", "From", "Dress colour", "Status" ]
what color of dress did they wear?
[ [ "Laura Sicurello", "26", "Milton Keynes", "Yellow", "Eliminated 1st in week 1" ], [ "Belinda Evans", "28", "Somerset", "Dark blue", "Eliminated 2nd in week 2" ], [ "Meliz Serman", "23", "Chingford, London", "Gold", "Eliminated 3rd in week 3" ],...
[ "Yellow", "Dark blue", "Gold", "Purple", "Lilac", "Light blue", "Green", "Red", "Pink", "Orange" ]
what color of dress did they wear? || who are all of the finalists?
nt-12028
col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 ...
table_csv/203_129.csv
2
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "who are all of the finalists?", "what color of dress did they wear?", "and which finalist wore pink?" ]
2
helena blackman
[ "Finalist", "Age", "From", "Dress colour", "Status" ]
and which finalist wore pink?
[ [ "Laura Sicurello", "26", "Milton Keynes", "Yellow", "Eliminated 1st in week 1" ], [ "Belinda Evans", "28", "Somerset", "Dark blue", "Eliminated 2nd in week 2" ], [ "Meliz Serman", "23", "Chingford, London", "Gold", "Eliminated 3rd in week 3" ],...
[ "Helena Blackman" ]
and which finalist wore pink? || what color of dress did they wear? | who are all of the finalists?
ns-2607
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
0
{ "column_index": [ 2 ], "row_index": [ 2 ] }
[ "how many caucusing did the udf group have?" ]
0
6
[ "Group", "Members", "Caucusing", "Total" ]
how many caucusing did the udf group have?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-...
[ "6" ]
how many caucusing did the udf group have? ||
ns-2607
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
1
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "how many caucusing did the udf group have?", "who else had that many?" ]
0
rpr group
[ "Group", "Members", "Caucusing", "Total" ]
who else had that many?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-...
[ "RPR Group" ]
who else had that many? || how many caucusing did the udf group have?
ns-2607
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "what groups are shown for the 1997 french legislative election?" ]
1
socialist group, rpr group, udf group, communist group, radical, citizen and green, non-inscrits
[ "Group", "Members", "Caucusing", "Total" ]
what groups are shown for the 1997 french legislative election?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-...
[ "Socialist Group", "RPR Group", "UDF Group", "Communist Group", "Radical, Citizen and Green", "Non-Inscrits" ]
what groups are shown for the 1997 french legislative election? ||
ns-2607
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "what groups are shown for the 1997 french legislative election?", "how many show as caucusing?" ]
1
socialist group, rpr group, udf group, communist group, radical, citizen and green, non-inscrits
[ "Group", "Members", "Caucusing", "Total" ]
how many show as caucusing?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-...
[ "Socialist Group", "RPR Group", "UDF Group", "Communist Group", "Radical, Citizen and Green", "Non-Inscrits" ]
how many show as caucusing? || what groups are shown for the 1997 french legislative election?
ns-2607
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
2
{ "column_index": [ 2 ], "row_index": [ 2 ] }
[ "what groups are shown for the 1997 french legislative election?", "how many show as caucusing?", "of these how many does udf group show as caucusing?" ]
1
6
[ "Group", "Members", "Caucusing", "Total" ]
of these how many does udf group show as caucusing?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-...
[ "6" ]
of these how many does udf group show as caucusing? || how many show as caucusing? | what groups are shown for the 1997 french legislative election?
ns-2607
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
3
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "what groups are shown for the 1997 french legislative election?", "how many show as caucusing?", "of these how many does udf group show as caucusing?", "what other group has the same number?" ]
1
rpr group
[ "Group", "Members", "Caucusing", "Total" ]
what other group has the same number?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-...
[ "RPR Group" ]
what other group has the same number? || of these how many does udf group show as caucusing? | how many show as caucusing? | what groups are shown for the 1997 french legislative election?
ns-2607
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "what are all of the group names?" ]
2
socialist group, rpr group, udf group, communist group, radical, citizen and green, non-inscrits
[ "Group", "Members", "Caucusing", "Total" ]
what are all of the group names?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-...
[ "Socialist Group", "RPR Group", "UDF Group", "Communist Group", "Radical, Citizen and Green", "Non-Inscrits" ]
what are all of the group names? ||
ns-2607
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5 ] }
[ "what are all of the group names?", "what are their caucusing numbers?" ]
2
8, 6, 6, 2, 0, 0
[ "Group", "Members", "Caucusing", "Total" ]
what are their caucusing numbers?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-...
[ "8", "6", "6", "2", "0", "0" ]
what are their caucusing numbers? || what are all of the group names?
ns-2607
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
2
{ "column_index": [ 2 ], "row_index": [ 2 ] }
[ "what are all of the group names?", "what are their caucusing numbers?", "what about just the udf group?" ]
2
6
[ "Group", "Members", "Caucusing", "Total" ]
what about just the udf group?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-...
[ "6" ]
what about just the udf group? || what are their caucusing numbers? | what are all of the group names?
ns-2607
col : group | members | caucusing | total row 1 : socialist group | 242 | 8 | 250 row 2 : rpr group | 136 | 6 | 140 row 3 : udf group | 107 | 6 | 113 row 4 : communist group | 34 | 2 | 36 row 5 : radical, citizen and green | 33 | 0 | 33 row 6 : non-inscrits | 5 | 0 | 5 row 7 : total: | 555 | 22 | 577
table_csv/203_266.csv
3
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "what are all of the group names?", "what are their caucusing numbers?", "what about just the udf group?", "which other group shares that number?" ]
2
rpr group
[ "Group", "Members", "Caucusing", "Total" ]
which other group shares that number?
[ [ "Socialist Group", "242", "8", "250" ], [ "RPR Group", "136", "6", "140" ], [ "UDF Group", "107", "6", "113" ], [ "Communist Group", "34", "2", "36" ], [ "Radical, Citizen and Green", "33", "0", "33" ], [ "Non-...
[ "RPR Group" ]
which other group shares that number? || what about just the udf group? | what are their caucusing numbers? | what are all of the group names?
nt-6449
col : name | area | height | floors | year row 1 : ratan planet | opp. alimco, naramau, g.t road | 90 metres (295 ft) | 16 | 2013 row 2 : the landmark hotel | near navin market, mall road, downtown | 80 metres (262 ft) | 14 | 2000 row 3 : ratan orbit | mukherjee vihar, kalianpur | 70 metres (230 ft) | 14 | 2011 row 4 :...
table_csv/204_541.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what are the tallest buildings in kanpur?" ]
0
ratan planet, the landmark hotel, ratan orbit, bsnl tower, som business square (el mart), akashganga heights, krishna tower
[ "Name", "Area", "Height", "Floors", "Year" ]
what are the tallest buildings in kanpur?
[ [ "Ratan Planet", "Opp. ALIMCO, Naramau, G.T Road", "90 metres (295 ft)", "16", "2013" ], [ "The Landmark Hotel", "Near Navin Market, Mall Road, Downtown", "80 metres (262 ft)", "14", "2000" ], [ "Ratan Orbit", "Mukherjee Vihar, Kalianpur", "70 metres (230...
[ "Ratan Planet", "The Landmark Hotel", "Ratan Orbit", "BSNL Tower", "Som Business Square (EL Mart)", "Akashganga Heights", "Krishna Tower" ]
what are the tallest buildings in kanpur? ||
nt-6449
col : name | area | height | floors | year row 1 : ratan planet | opp. alimco, naramau, g.t road | 90 metres (295 ft) | 16 | 2013 row 2 : the landmark hotel | near navin market, mall road, downtown | 80 metres (262 ft) | 14 | 2000 row 3 : ratan orbit | mukherjee vihar, kalianpur | 70 metres (230 ft) | 14 | 2011 row 4 :...
table_csv/204_541.csv
1
{ "column_index": [ 0, 0, 0 ], "row_index": [ 3, 5, 6 ] }
[ "what are the tallest buildings in kanpur?", "of those tallest buildings, which are less than 70 meters tall?" ]
0
bsnl tower, akashganga heights, krishna tower
[ "Name", "Area", "Height", "Floors", "Year" ]
of those tallest buildings, which are less than 70 meters tall?
[ [ "Ratan Planet", "Opp. ALIMCO, Naramau, G.T Road", "90 metres (295 ft)", "16", "2013" ], [ "The Landmark Hotel", "Near Navin Market, Mall Road, Downtown", "80 metres (262 ft)", "14", "2000" ], [ "Ratan Orbit", "Mukherjee Vihar, Kalianpur", "70 metres (230...
[ "BSNL Tower", "Akashganga Heights", "Krishna Tower" ]
of those tallest buildings, which are less than 70 meters tall? || what are the tallest buildings in kanpur?
nt-6449
col : name | area | height | floors | year row 1 : ratan planet | opp. alimco, naramau, g.t road | 90 metres (295 ft) | 16 | 2013 row 2 : the landmark hotel | near navin market, mall road, downtown | 80 metres (262 ft) | 14 | 2000 row 3 : ratan orbit | mukherjee vihar, kalianpur | 70 metres (230 ft) | 14 | 2011 row 4 :...
table_csv/204_541.csv
2
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what are the tallest buildings in kanpur?", "of those tallest buildings, which are less than 70 meters tall?", "of those buildings less than 70 meters tall, which is only 48 meters tall?" ]
0
krishna tower
[ "Name", "Area", "Height", "Floors", "Year" ]
of those buildings less than 70 meters tall, which is only 48 meters tall?
[ [ "Ratan Planet", "Opp. ALIMCO, Naramau, G.T Road", "90 metres (295 ft)", "16", "2013" ], [ "The Landmark Hotel", "Near Navin Market, Mall Road, Downtown", "80 metres (262 ft)", "14", "2000" ], [ "Ratan Orbit", "Mukherjee Vihar, Kalianpur", "70 metres (230...
[ "Krishna Tower" ]
of those buildings less than 70 meters tall, which is only 48 meters tall? || of those tallest buildings, which are less than 70 meters tall? | what are the tallest buildings in kanpur?
nt-6449
col : name | area | height | floors | year row 1 : ratan planet | opp. alimco, naramau, g.t road | 90 metres (295 ft) | 16 | 2013 row 2 : the landmark hotel | near navin market, mall road, downtown | 80 metres (262 ft) | 14 | 2000 row 3 : ratan orbit | mukherjee vihar, kalianpur | 70 metres (230 ft) | 14 | 2011 row 4 :...
table_csv/204_541.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what are all the building heights?" ]
1
90 metres (295 ft), 80 metres (262 ft), 70 metres (230 ft), 65 metres (213 ft), 80 metres (262 ft), 60 metres (197 ft), 48 metres (157 ft)
[ "Name", "Area", "Height", "Floors", "Year" ]
what are all the building heights?
[ [ "Ratan Planet", "Opp. ALIMCO, Naramau, G.T Road", "90 metres (295 ft)", "16", "2013" ], [ "The Landmark Hotel", "Near Navin Market, Mall Road, Downtown", "80 metres (262 ft)", "14", "2000" ], [ "Ratan Orbit", "Mukherjee Vihar, Kalianpur", "70 metres (230...
[ "90 metres (295 ft)", "80 metres (262 ft)", "70 metres (230 ft)", "65 metres (213 ft)", "80 metres (262 ft)", "60 metres (197 ft)", "48 metres (157 ft)" ]
what are all the building heights? ||
nt-6449
col : name | area | height | floors | year row 1 : ratan planet | opp. alimco, naramau, g.t road | 90 metres (295 ft) | 16 | 2013 row 2 : the landmark hotel | near navin market, mall road, downtown | 80 metres (262 ft) | 14 | 2000 row 3 : ratan orbit | mukherjee vihar, kalianpur | 70 metres (230 ft) | 14 | 2011 row 4 :...
table_csv/204_541.csv
1
{ "column_index": [ 2 ], "row_index": [ 6 ] }
[ "what are all the building heights?", "which height is 48 meters?" ]
1
48 metres (157 ft)
[ "Name", "Area", "Height", "Floors", "Year" ]
which height is 48 meters?
[ [ "Ratan Planet", "Opp. ALIMCO, Naramau, G.T Road", "90 metres (295 ft)", "16", "2013" ], [ "The Landmark Hotel", "Near Navin Market, Mall Road, Downtown", "80 metres (262 ft)", "14", "2000" ], [ "Ratan Orbit", "Mukherjee Vihar, Kalianpur", "70 metres (230...
[ "48 metres (157 ft)" ]
which height is 48 meters? || what are all the building heights?
nt-6449
col : name | area | height | floors | year row 1 : ratan planet | opp. alimco, naramau, g.t road | 90 metres (295 ft) | 16 | 2013 row 2 : the landmark hotel | near navin market, mall road, downtown | 80 metres (262 ft) | 14 | 2000 row 3 : ratan orbit | mukherjee vihar, kalianpur | 70 metres (230 ft) | 14 | 2011 row 4 :...
table_csv/204_541.csv
2
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what are all the building heights?", "which height is 48 meters?", "what building name is associated with this height?" ]
1
krishna tower
[ "Name", "Area", "Height", "Floors", "Year" ]
what building name is associated with this height?
[ [ "Ratan Planet", "Opp. ALIMCO, Naramau, G.T Road", "90 metres (295 ft)", "16", "2013" ], [ "The Landmark Hotel", "Near Navin Market, Mall Road, Downtown", "80 metres (262 ft)", "14", "2000" ], [ "Ratan Orbit", "Mukherjee Vihar, Kalianpur", "70 metres (230...
[ "Krishna Tower" ]
what building name is associated with this height? || which height is 48 meters? | what are all the building heights?
nt-6449
col : name | area | height | floors | year row 1 : ratan planet | opp. alimco, naramau, g.t road | 90 metres (295 ft) | 16 | 2013 row 2 : the landmark hotel | near navin market, mall road, downtown | 80 metres (262 ft) | 14 | 2000 row 3 : ratan orbit | mukherjee vihar, kalianpur | 70 metres (230 ft) | 14 | 2011 row 4 :...
table_csv/204_541.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what are all the buildings?" ]
2
ratan planet, the landmark hotel, ratan orbit, bsnl tower, som business square (el mart), akashganga heights, krishna tower
[ "Name", "Area", "Height", "Floors", "Year" ]
what are all the buildings?
[ [ "Ratan Planet", "Opp. ALIMCO, Naramau, G.T Road", "90 metres (295 ft)", "16", "2013" ], [ "The Landmark Hotel", "Near Navin Market, Mall Road, Downtown", "80 metres (262 ft)", "14", "2000" ], [ "Ratan Orbit", "Mukherjee Vihar, Kalianpur", "70 metres (230...
[ "Ratan Planet", "The Landmark Hotel", "Ratan Orbit", "BSNL Tower", "Som Business Square (EL Mart)", "Akashganga Heights", "Krishna Tower" ]
what are all the buildings? ||
nt-6449
col : name | area | height | floors | year row 1 : ratan planet | opp. alimco, naramau, g.t road | 90 metres (295 ft) | 16 | 2013 row 2 : the landmark hotel | near navin market, mall road, downtown | 80 metres (262 ft) | 14 | 2000 row 3 : ratan orbit | mukherjee vihar, kalianpur | 70 metres (230 ft) | 14 | 2011 row 4 :...
table_csv/204_541.csv
1
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what are all the buildings?", "of those, which is 48 meters tall?" ]
2
krishna tower
[ "Name", "Area", "Height", "Floors", "Year" ]
of those, which is 48 meters tall?
[ [ "Ratan Planet", "Opp. ALIMCO, Naramau, G.T Road", "90 metres (295 ft)", "16", "2013" ], [ "The Landmark Hotel", "Near Navin Market, Mall Road, Downtown", "80 metres (262 ft)", "14", "2000" ], [ "Ratan Orbit", "Mukherjee Vihar, Kalianpur", "70 metres (230...
[ "Krishna Tower" ]
of those, which is 48 meters tall? || what are all the buildings?
nt-12024
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
table_csv/204_521.csv
0
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "what rank did karl hahnel come in?" ]
0
4
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
what rank did karl hahnel come in?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
[ "4" ]
what rank did karl hahnel come in? ||
nt-12024
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
table_csv/204_521.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what rank did karl hahnel come in?", "who was the only competitor to come from latvia?" ]
0
janis dalins
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
who was the only competitor to come from latvia?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
[ "Janis Dalins" ]
who was the only competitor to come from latvia? || what rank did karl hahnel come in?
nt-12024
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
table_csv/204_521.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what rank did karl hahnel come in?", "who was the only competitor to come from latvia?", "great britain's competitor was named?" ]
0
tommy green
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
great britain's competitor was named?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
[ "Tommy Green" ]
great britain's competitor was named? || who was the only competitor to come from latvia? | what rank did karl hahnel come in?
nt-12024
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
table_csv/204_521.csv
0
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which competitor came from latvia?" ]
1
janis dalins
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
which competitor came from latvia?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
[ "Janis Dalins" ]
which competitor came from latvia? ||
nt-12024
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
table_csv/204_521.csv
1
{ "column_index": [ 1 ], "row_index": [ 3 ] }
[ "which competitor came from latvia?", "which competitor came from germany?" ]
1
karl hahnel
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
which competitor came from germany?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
[ "Karl Hahnel" ]
which competitor came from germany? || which competitor came from latvia?
nt-12024
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
table_csv/204_521.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which competitor came from latvia?", "which competitor came from germany?", "which competitor came from great britain?" ]
1
tommy green
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
which competitor came from great britain?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
[ "Tommy Green" ]
which competitor came from great britain? || which competitor came from germany? | which competitor came from latvia?
nt-12024
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
table_csv/204_521.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "who are all of the athletes?" ]
2
tommy green, janis dalins, ugo frigerio, karl hahnel, ettore rivolta, paul sievert, henri quintric, ernie crosbie, bill chisholm, alfred maasik, henry cieman, john moralis, francesco pretti, arthur tell schwab, harry hinkel
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
who are all of the athletes?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
[ "Tommy Green", "Janis Dalins", "Ugo Frigerio", "Karl Hahnel", "Ettore Rivolta", "Paul Sievert", "Henri Quintric", "Ernie Crosbie", "Bill Chisholm", "Alfred Maasik", "Henry Cieman", "John Moralis", "Francesco Pretti", "Arthur Tell Schwab", "Harry Hinkel" ]
who are all of the athletes? ||
nt-12024
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
table_csv/204_521.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "who are all of the athletes?", "what nations do they represent?" ]
2
great britain, latvia, italy, germany, italy, germany, france, united states, united states, estonia, canada, greece, italy, switzerland, united states
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
what nations do they represent?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
[ "Great Britain", "Latvia", "Italy", "Germany", "Italy", "Germany", "France", "United States", "United States", "Estonia", "Canada", "Greece", "Italy", "Switzerland", "United States" ]
what nations do they represent? || who are all of the athletes?
nt-12024
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan r...
table_csv/204_521.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who are all of the athletes?", "what nations do they represent?", "and which athlete is from great britain?" ]
2
tommy green
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
and which athlete is from great britain?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ]...
[ "Tommy Green" ]
and which athlete is from great britain? || what nations do they represent? | who are all of the athletes?
ns-1968
col : rank | name | nationality | time row 1 : nan | gustavo borges | brazil | 1:49.41 row 2 : nan | scott tucker | united states | 1:50.99 row 3 : nan | leonardo costa | brazil | 1:51.29 row 4 : nan | mark johnston | canada | 1:51.29 row 5 : 5.0 | nate boyle | united states | 1:52.83 row 6 : 6.0 | yannick lupien | can...
table_csv/204_433.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "who were all of the swimmers competing at the 1999 pan american games - men's 200 metre freestyle?" ]
0
gustavo borges, scott tucker, leonardo costa, mark johnston, nate boyle, yannick lupien, joshua ilika, javier diaz
[ "Rank", "Name", "Nationality", "Time" ]
who were all of the swimmers competing at the 1999 pan american games - men's 200 metre freestyle?
[ [ "nan", "Gustavo Borges", "Brazil", "1:49.41" ], [ "nan", "Scott Tucker", "United States", "1:50.99" ], [ "nan", "Leonardo Costa", "Brazil", "1:51.29" ], [ "nan", "Mark Johnston", "Canada", "1:51.29" ], [ "5.0", "Nate Boyle", ...
[ "Gustavo Borges", "Scott Tucker", "Leonardo Costa", "Mark Johnston", "Nate Boyle", "Yannick Lupien", "Joshua Ilika", "Javier Diaz" ]
who were all of the swimmers competing at the 1999 pan american games - men's 200 metre freestyle? ||
ns-1968
col : rank | name | nationality | time row 1 : nan | gustavo borges | brazil | 1:49.41 row 2 : nan | scott tucker | united states | 1:50.99 row 3 : nan | leonardo costa | brazil | 1:51.29 row 4 : nan | mark johnston | canada | 1:51.29 row 5 : 5.0 | nate boyle | united states | 1:52.83 row 6 : 6.0 | yannick lupien | can...
table_csv/204_433.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "who were all of the swimmers competing at the 1999 pan american games - men's 200 metre freestyle?", "what were their corresponding finish times?" ]
0
1:49.41, 1:50.99, 1:51.29, 1:51.29, 1:52.83, 1:52.92, 1:53.73, 1:54.01
[ "Rank", "Name", "Nationality", "Time" ]
what were their corresponding finish times?
[ [ "nan", "Gustavo Borges", "Brazil", "1:49.41" ], [ "nan", "Scott Tucker", "United States", "1:50.99" ], [ "nan", "Leonardo Costa", "Brazil", "1:51.29" ], [ "nan", "Mark Johnston", "Canada", "1:51.29" ], [ "5.0", "Nate Boyle", ...
[ "1:49.41", "1:50.99", "1:51.29", "1:51.29", "1:52.83", "1:52.92", "1:53.73", "1:54.01" ]
what were their corresponding finish times? || who were all of the swimmers competing at the 1999 pan american games - men's 200 metre freestyle?
ns-1968
col : rank | name | nationality | time row 1 : nan | gustavo borges | brazil | 1:49.41 row 2 : nan | scott tucker | united states | 1:50.99 row 3 : nan | leonardo costa | brazil | 1:51.29 row 4 : nan | mark johnston | canada | 1:51.29 row 5 : 5.0 | nate boyle | united states | 1:52.83 row 6 : 6.0 | yannick lupien | can...
table_csv/204_433.csv
2
{ "column_index": [ 3 ], "row_index": [ 7 ] }
[ "who were all of the swimmers competing at the 1999 pan american games - men's 200 metre freestyle?", "what were their corresponding finish times?", "which of the above times is greater than 1.54?" ]
0
1:54.01
[ "Rank", "Name", "Nationality", "Time" ]
which of the above times is greater than 1.54?
[ [ "nan", "Gustavo Borges", "Brazil", "1:49.41" ], [ "nan", "Scott Tucker", "United States", "1:50.99" ], [ "nan", "Leonardo Costa", "Brazil", "1:51.29" ], [ "nan", "Mark Johnston", "Canada", "1:51.29" ], [ "5.0", "Nate Boyle", ...
[ "1:54.01" ]
which of the above times is greater than 1.54? || what were their corresponding finish times? | who were all of the swimmers competing at the 1999 pan american games - men's 200 metre freestyle?
ns-1968
col : rank | name | nationality | time row 1 : nan | gustavo borges | brazil | 1:49.41 row 2 : nan | scott tucker | united states | 1:50.99 row 3 : nan | leonardo costa | brazil | 1:51.29 row 4 : nan | mark johnston | canada | 1:51.29 row 5 : 5.0 | nate boyle | united states | 1:52.83 row 6 : 6.0 | yannick lupien | can...
table_csv/204_433.csv
3
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "who were all of the swimmers competing at the 1999 pan american games - men's 200 metre freestyle?", "what were their corresponding finish times?", "which of the above times is greater than 1.54?", "which of the swimmers clocked in at the above time?" ]
0
javier diaz
[ "Rank", "Name", "Nationality", "Time" ]
which of the swimmers clocked in at the above time?
[ [ "nan", "Gustavo Borges", "Brazil", "1:49.41" ], [ "nan", "Scott Tucker", "United States", "1:50.99" ], [ "nan", "Leonardo Costa", "Brazil", "1:51.29" ], [ "nan", "Mark Johnston", "Canada", "1:51.29" ], [ "5.0", "Nate Boyle", ...
[ "Javier Diaz" ]
which of the swimmers clocked in at the above time? || which of the above times is greater than 1.54? | what were their corresponding finish times? | who were all of the swimmers competing at the 1999 pan american games - men's 200 metre freestyle?
ns-1968
col : rank | name | nationality | time row 1 : nan | gustavo borges | brazil | 1:49.41 row 2 : nan | scott tucker | united states | 1:50.99 row 3 : nan | leonardo costa | brazil | 1:51.29 row 4 : nan | mark johnston | canada | 1:51.29 row 5 : 5.0 | nate boyle | united states | 1:52.83 row 6 : 6.0 | yannick lupien | can...
table_csv/204_433.csv
0
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what were the times made by each swimmer in the 1999 pan american games?" ]
1
1:49.41, 1:50.99, 1:51.29, 1:51.29, 1:52.83, 1:52.92, 1:53.73, 1:54.01
[ "Rank", "Name", "Nationality", "Time" ]
what were the times made by each swimmer in the 1999 pan american games?
[ [ "nan", "Gustavo Borges", "Brazil", "1:49.41" ], [ "nan", "Scott Tucker", "United States", "1:50.99" ], [ "nan", "Leonardo Costa", "Brazil", "1:51.29" ], [ "nan", "Mark Johnston", "Canada", "1:51.29" ], [ "5.0", "Nate Boyle", ...
[ "1:49.41", "1:50.99", "1:51.29", "1:51.29", "1:52.83", "1:52.92", "1:53.73", "1:54.01" ]
what were the times made by each swimmer in the 1999 pan american games? ||
ns-1968
col : rank | name | nationality | time row 1 : nan | gustavo borges | brazil | 1:49.41 row 2 : nan | scott tucker | united states | 1:50.99 row 3 : nan | leonardo costa | brazil | 1:51.29 row 4 : nan | mark johnston | canada | 1:51.29 row 5 : 5.0 | nate boyle | united states | 1:52.83 row 6 : 6.0 | yannick lupien | can...
table_csv/204_433.csv
1
{ "column_index": [ 3 ], "row_index": [ 7 ] }
[ "what were the times made by each swimmer in the 1999 pan american games?", "which time was the longest?" ]
1
1:54.01
[ "Rank", "Name", "Nationality", "Time" ]
which time was the longest?
[ [ "nan", "Gustavo Borges", "Brazil", "1:49.41" ], [ "nan", "Scott Tucker", "United States", "1:50.99" ], [ "nan", "Leonardo Costa", "Brazil", "1:51.29" ], [ "nan", "Mark Johnston", "Canada", "1:51.29" ], [ "5.0", "Nate Boyle", ...
[ "1:54.01" ]
which time was the longest? || what were the times made by each swimmer in the 1999 pan american games?
ns-1968
col : rank | name | nationality | time row 1 : nan | gustavo borges | brazil | 1:49.41 row 2 : nan | scott tucker | united states | 1:50.99 row 3 : nan | leonardo costa | brazil | 1:51.29 row 4 : nan | mark johnston | canada | 1:51.29 row 5 : 5.0 | nate boyle | united states | 1:52.83 row 6 : 6.0 | yannick lupien | can...
table_csv/204_433.csv
2
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "what were the times made by each swimmer in the 1999 pan american games?", "which time was the longest?", "what swimmer made this time?" ]
1
javier diaz
[ "Rank", "Name", "Nationality", "Time" ]
what swimmer made this time?
[ [ "nan", "Gustavo Borges", "Brazil", "1:49.41" ], [ "nan", "Scott Tucker", "United States", "1:50.99" ], [ "nan", "Leonardo Costa", "Brazil", "1:51.29" ], [ "nan", "Mark Johnston", "Canada", "1:51.29" ], [ "5.0", "Nate Boyle", ...
[ "Javier Diaz" ]
what swimmer made this time? || which time was the longest? | what were the times made by each swimmer in the 1999 pan american games?