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nt-12922 | col : version | length | album | remixed by | year | comment row 1 : single version / radio edit | 3:39 | go - the very best of moby | mhc aka philip larsen and chis smith | 2006 | remixed version with dance sonorities, with english and french row 2 : extended remix | 6:48 | -- | mhc aka philip larsen and chis smith | ... | table_csv/203_289.csv | 0 | {
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] | 2 | single version / radio edit, extended remix, axwell remix, enzo mori & stephan clark remix, mhc club remix, zloot remix, music video | [
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"Enzo Mori & Stephan Clark Remix",
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"Zloot Remix",
"Music Video"
] | how many versions are there? || |
nt-12922 | col : version | length | album | remixed by | year | comment row 1 : single version / radio edit | 3:39 | go - the very best of moby | mhc aka philip larsen and chis smith | 2006 | remixed version with dance sonorities, with english and french row 2 : extended remix | 6:48 | -- | mhc aka philip larsen and chis smith | ... | table_csv/203_289.csv | 1 | {
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"how many versions are there?",
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[
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nt-10161 | col : round | # | player | position | nationality | college/junior/club team (league) row 1 : 1 | 7 | kyle okposo | right wing | united states | des moines buccaneers (ushl) row 2 : 2 | 60 | jesse joensuu | wing | finland | assat (sm-liiga) row 3 : 3 | 70 | robin figren | wing | sweden | frolunda hc (elitserien) row 4 ... | table_csv/204_140.csv | 0 | {
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"what are the nationalities of the players?"
] | 0 | united states, finland, sweden, united states, canada, slovakia, united states, sweden, canada, united states, sweden, united states | [
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"Slovakia",
"United States",
"Sweden",
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"United States",
"Sweden",
"United States"
] | what are the nationalities of the players? || |
nt-10161 | col : round | # | player | position | nationality | college/junior/club team (league) row 1 : 1 | 7 | kyle okposo | right wing | united states | des moines buccaneers (ushl) row 2 : 2 | 60 | jesse joensuu | wing | finland | assat (sm-liiga) row 3 : 3 | 70 | robin figren | wing | sweden | frolunda hc (elitserien) row 4 ... | table_csv/204_140.csv | 1 | {
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"what are the nationalities of the players?",
"which of these are from the us?"
] | 0 | kyle okposo, united states, rhett rakhshani, united states, doug rogers, united states, brian day, united states, troy mattila, united states | [
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"#",
"Player",
"Position",
"Nationality",
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] | which of these are from the us? | [
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"7",
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[
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"United States",
"Doug Rogers",
"United States",
"Brian Day",
"United States",
"Troy Mattila",
"United States"
] | which of these are from the us? || what are the nationalities of the players? |
nt-10161 | col : round | # | player | position | nationality | college/junior/club team (league) row 1 : 1 | 7 | kyle okposo | right wing | united states | des moines buccaneers (ushl) row 2 : 2 | 60 | jesse joensuu | wing | finland | assat (sm-liiga) row 3 : 3 | 70 | robin figren | wing | sweden | frolunda hc (elitserien) row 4 ... | table_csv/204_140.csv | 2 | {
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} | [
"what are the nationalities of the players?",
"which of these are from the us?",
"of these american players, which played on the springfield jr. blues?"
] | 0 | troy mattila | [
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"#",
"Player",
"Position",
"Nationality",
"College/Junior/Club Team (League)"
] | of these american players, which played on the springfield jr. blues? | [
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[
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"Robin Figren",
"Wing",
"Sweden",
"Frolunda HC (Elitserien)"... | [
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] | of these american players, which played on the springfield jr. blues? || which of these are from the us? | what are the nationalities of the players? |
nt-10161 | col : round | # | player | position | nationality | college/junior/club team (league) row 1 : 1 | 7 | kyle okposo | right wing | united states | des moines buccaneers (ushl) row 2 : 2 | 60 | jesse joensuu | wing | finland | assat (sm-liiga) row 3 : 3 | 70 | robin figren | wing | sweden | frolunda hc (elitserien) row 4 ... | table_csv/204_140.csv | 0 | {
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"who are all of the players?"
] | 1 | kyle okposo, jesse joensuu, robin figren, rhett rakhshani, jase weslosky, tomas marcinko, doug rogers, kim johansson, andrew macdonald, brian day, stefan ridderwall, troy mattila | [
"Round",
"#",
"Player",
"Position",
"Nationality",
"College/Junior/Club Team (League)"
] | who are all of the players? | [
[
"1",
"7",
"Kyle Okposo",
"Right Wing",
"United States",
"Des Moines Buccaneers (USHL)"
],
[
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"Jesse Joensuu",
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"Finland",
"Assat (SM-liiga)"
],
[
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"70",
"Robin Figren",
"Wing",
"Sweden",
"Frolunda HC (Elitserien)"... | [
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"Jesse Joensuu",
"Robin Figren",
"Rhett Rakhshani",
"Jase Weslosky",
"Tomas Marcinko",
"Doug Rogers",
"Kim Johansson",
"Andrew MacDonald",
"Brian Day",
"Stefan Ridderwall",
"Troy Mattila"
] | who are all of the players? || |
nt-10161 | col : round | # | player | position | nationality | college/junior/club team (league) row 1 : 1 | 7 | kyle okposo | right wing | united states | des moines buccaneers (ushl) row 2 : 2 | 60 | jesse joensuu | wing | finland | assat (sm-liiga) row 3 : 3 | 70 | robin figren | wing | sweden | frolunda hc (elitserien) row 4 ... | table_csv/204_140.csv | 1 | {
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"who are all of the players?",
"where are they from?"
] | 1 | united states, finland, sweden, united states, canada, slovakia, united states, sweden, canada, united states, sweden, united states | [
"Round",
"#",
"Player",
"Position",
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[
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"Robin Figren",
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"Frolunda HC (Elitserien)"... | [
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"United States",
"Canada",
"Slovakia",
"United States",
"Sweden",
"Canada",
"United States",
"Sweden",
"United States"
] | where are they from? || who are all of the players? |
nt-10161 | col : round | # | player | position | nationality | college/junior/club team (league) row 1 : 1 | 7 | kyle okposo | right wing | united states | des moines buccaneers (ushl) row 2 : 2 | 60 | jesse joensuu | wing | finland | assat (sm-liiga) row 3 : 3 | 70 | robin figren | wing | sweden | frolunda hc (elitserien) row 4 ... | table_csv/204_140.csv | 2 | {
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"who are all of the players?",
"where are they from?",
"and which players are from the united states?"
] | 1 | kyle okposo, rhett rakhshani, doug rogers, brian day, troy mattila | [
"Round",
"#",
"Player",
"Position",
"Nationality",
"College/Junior/Club Team (League)"
] | and which players are from the united states? | [
[
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[
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],
[
"3",
"70",
"Robin Figren",
"Wing",
"Sweden",
"Frolunda HC (Elitserien)"... | [
"Kyle Okposo",
"Rhett Rakhshani",
"Doug Rogers",
"Brian Day",
"Troy Mattila"
] | and which players are from the united states? || where are they from? | who are all of the players? |
nt-10161 | col : round | # | player | position | nationality | college/junior/club team (league) row 1 : 1 | 7 | kyle okposo | right wing | united states | des moines buccaneers (ushl) row 2 : 2 | 60 | jesse joensuu | wing | finland | assat (sm-liiga) row 3 : 3 | 70 | robin figren | wing | sweden | frolunda hc (elitserien) row 4 ... | table_csv/204_140.csv | 3 | {
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} | [
"who are all of the players?",
"where are they from?",
"and which players are from the united states?",
"of those players, who attended springfield jr. blues (nahl)?"
] | 1 | troy mattila | [
"Round",
"#",
"Player",
"Position",
"Nationality",
"College/Junior/Club Team (League)"
] | of those players, who attended springfield jr. blues (nahl)? | [
[
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"Right Wing",
"United States",
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],
[
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"70",
"Robin Figren",
"Wing",
"Sweden",
"Frolunda HC (Elitserien)"... | [
"Troy Mattila"
] | of those players, who attended springfield jr. blues (nahl)? || and which players are from the united states? | where are they from? | who are all of the players? |
nt-10161 | col : round | # | player | position | nationality | college/junior/club team (league) row 1 : 1 | 7 | kyle okposo | right wing | united states | des moines buccaneers (ushl) row 2 : 2 | 60 | jesse joensuu | wing | finland | assat (sm-liiga) row 3 : 3 | 70 | robin figren | wing | sweden | frolunda hc (elitserien) row 4 ... | table_csv/204_140.csv | 0 | {
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} | [
"which player is from finland?"
] | 2 | jesse joensuu | [
"Round",
"#",
"Player",
"Position",
"Nationality",
"College/Junior/Club Team (League)"
] | which player is from finland? | [
[
"1",
"7",
"Kyle Okposo",
"Right Wing",
"United States",
"Des Moines Buccaneers (USHL)"
],
[
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"Jesse Joensuu",
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],
[
"3",
"70",
"Robin Figren",
"Wing",
"Sweden",
"Frolunda HC (Elitserien)"... | [
"Jesse Joensuu"
] | which player is from finland? || |
nt-10161 | col : round | # | player | position | nationality | college/junior/club team (league) row 1 : 1 | 7 | kyle okposo | right wing | united states | des moines buccaneers (ushl) row 2 : 2 | 60 | jesse joensuu | wing | finland | assat (sm-liiga) row 3 : 3 | 70 | robin figren | wing | sweden | frolunda hc (elitserien) row 4 ... | table_csv/204_140.csv | 1 | {
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} | [
"which player is from finland?",
"which player is from the united states?"
] | 2 | rhett rakhshani | [
"Round",
"#",
"Player",
"Position",
"Nationality",
"College/Junior/Club Team (League)"
] | which player is from the united states? | [
[
"1",
"7",
"Kyle Okposo",
"Right Wing",
"United States",
"Des Moines Buccaneers (USHL)"
],
[
"2",
"60",
"Jesse Joensuu",
"Wing",
"Finland",
"Assat (SM-liiga)"
],
[
"3",
"70",
"Robin Figren",
"Wing",
"Sweden",
"Frolunda HC (Elitserien)"... | [
"Rhett Rakhshani"
] | which player is from the united states? || which player is from finland? |
nt-10161 | col : round | # | player | position | nationality | college/junior/club team (league) row 1 : 1 | 7 | kyle okposo | right wing | united states | des moines buccaneers (ushl) row 2 : 2 | 60 | jesse joensuu | wing | finland | assat (sm-liiga) row 3 : 3 | 70 | robin figren | wing | sweden | frolunda hc (elitserien) row 4 ... | table_csv/204_140.csv | 2 | {
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} | [
"which player is from finland?",
"which player is from the united states?",
"which player is from the u.s. and played on the springfield jr. blues?"
] | 2 | troy mattila | [
"Round",
"#",
"Player",
"Position",
"Nationality",
"College/Junior/Club Team (League)"
] | which player is from the u.s. and played on the springfield jr. blues? | [
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"7",
"Kyle Okposo",
"Right Wing",
"United States",
"Des Moines Buccaneers (USHL)"
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[
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"60",
"Jesse Joensuu",
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"Finland",
"Assat (SM-liiga)"
],
[
"3",
"70",
"Robin Figren",
"Wing",
"Sweden",
"Frolunda HC (Elitserien)"... | [
"Troy Mattila"
] | which player is from the u.s. and played on the springfield jr. blues? || which player is from the united states? | which player is from finland? |
nt-14133 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 0 | {
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} | [
"what number of bronze medals is more than seven?"
] | 0 | 13 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what number of bronze medals is more than seven? | [
[
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"Netherlands",
"20",
"9",
"0",
"29"
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"10",
"15",
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"28"
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"6",
"9"
],
[
"4",
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"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"13"
] | what number of bronze medals is more than seven? || |
nt-14133 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 1 | {
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1
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} | [
"what number of bronze medals is more than seven?",
"what nation won 13 medals?"
] | 0 | spain | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what nation won 13 medals? | [
[
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"Netherlands",
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"0",
"29"
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[
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"13",
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[
"5",
"Great Britain",
"... | [
"Spain"
] | what nation won 13 medals? || what number of bronze medals is more than seven? |
nt-14133 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 0 | {
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} | [
"which nations participated in the european baseball championship?"
] | 1 | netherlands, italy, belgium, spain, great britain, germany, greece, russia, sweden, france | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which nations participated in the european baseball championship? | [
[
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"Netherlands",
"20",
"9",
"0",
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[
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"Great Britain",
"... | [
"Netherlands",
"Italy",
"Belgium",
"Spain",
"Great Britain",
"Germany",
"Greece",
"Russia",
"Sweden",
"France"
] | which nations participated in the european baseball championship? || |
nt-14133 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 1 | {
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} | [
"which nations participated in the european baseball championship?",
"which nations earned bronze medals?"
] | 1 | italy, belgium, spain, germany, sweden, france | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which nations earned bronze medals? | [
[
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"Netherlands",
"20",
"9",
"0",
"29"
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[
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"Italy",
"10",
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"28"
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[
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nt-14133 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 2 | {
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"which nations participated in the european baseball championship?",
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"which nations participated in the european baseball championship?",
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"which ones are larger than 7",
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"... | [
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nt-14133 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 0 | {
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] | what nations competed? || |
nt-14133 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | netherlands | 20 | 9 | 0 | 29 row 2 : 2 | italy | 10 | 15 | 3 | 28 row 3 : 3 | belgium | 1 | 2 | 6 | 9 row 4 : 4 | spain | 1 | 1 | 13 | 15 row 5 : 5 | great britain | 0 | 2 | 0 | 2 row 6 : 6 | germany | 0 | 1 | 7 | 8 row 7 : 7 | greece | 0 | 1 | 0 | 1 row... | table_csv/204_107.csv | 1 | {
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"what nations competed?",
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"... | [
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nt-10166 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las... | table_csv/203_303.csv | 0 | {
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} | [
"what are all the tribunals?"
] | 0 | barcelona, logrono, palma de mallorca, saragossa, valencia, las palmas, cordoba, cuenca, santiago de compostela, granada, llerena, madrid, murcia, seville, toledo, valladolid | [
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"Penanced",
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"8",
"1",
"1",
"15",
"17"
],
[
"Logrono",
"1",
"1",
"0",
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"1?"
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[
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[
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"Santiago de Compostela",
"Granada",
"Llerena",
"Madrid",
"Murcia",
"Seville",
"Toledo",
"Valladolid"
] | what are all the tribunals? || |
nt-10166 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las... | table_csv/203_303.csv | 1 | {
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"what are all the tribunals?",
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] | 0 | cordoba, granada, seville | [
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[
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"4... | [
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"Seville"
] | of these, which tribunals had over 15 executions in persona? || what are all the tribunals? |
nt-10166 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las... | table_csv/203_303.csv | 2 | {
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"what are all the tribunals?",
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] | 0 | granada | [
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] | of these, which tribunals had over 40 executions in effigie? | [
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nt-10166 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las... | table_csv/203_303.csv | 0 | {
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"what are all of the tribunals in the spanish inquisition?"
] | 1 | barcelona, logrono, palma de mallorca, saragossa, valencia, las palmas, cordoba, cuenca, santiago de compostela, granada, llerena, madrid, murcia, seville, toledo, valladolid | [
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"8",
"1",
"1",
"15",
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[
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[
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"4... | [
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"Santiago de Compostela",
"Granada",
"Llerena",
"Madrid",
"Murcia",
"Seville",
"Toledo",
"Valladolid"
] | what are all of the tribunals in the spanish inquisition? || |
nt-10166 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las... | table_csv/203_303.csv | 1 | {
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"what are all of the tribunals in the spanish inquisition?",
"how many executions in persona did they have?"
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nt-10166 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las... | table_csv/203_303.csv | 2 | {
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"what are all of the tribunals in the spanish inquisition?",
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nt-10166 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las... | table_csv/203_303.csv | 3 | {
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"what are all of the tribunals in the spanish inquisition?",
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] | 1 | granada | [
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nt-10166 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las... | table_csv/203_303.csv | 0 | {
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} | [
"what are all the spanish tribunals?"
] | 2 | barcelona, logrono, palma de mallorca, saragossa, valencia, las palmas, cordoba, cuenca, santiago de compostela, granada, llerena, madrid, murcia, seville, toledo, valladolid | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
] | what are all the spanish tribunals? | [
[
"Barcelona",
"8",
"1",
"1",
"15",
"17"
],
[
"Logrono",
"1",
"1",
"0",
"0?",
"1?"
],
[
"Palma de Mallorca",
"3",
"0",
"0",
"11",
"11"
],
[
"Saragossa",
"1",
"0",
"0",
"3",
"3"
],
[
"Valencia",
"4... | [
"Barcelona",
"Logrono",
"Palma de Mallorca",
"Saragossa",
"Valencia",
"Las Palmas",
"Cordoba",
"Cuenca",
"Santiago de Compostela",
"Granada",
"Llerena",
"Madrid",
"Murcia",
"Seville",
"Toledo",
"Valladolid"
] | what are all the spanish tribunals? || |
nt-10166 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las... | table_csv/203_303.csv | 1 | {
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} | [
"what are all the spanish tribunals?",
"which ones had more than 1 execution in persona?"
] | 2 | valencia, cordoba, cuenca, granada, madrid, murcia, seville, toledo, valladolid | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
] | which ones had more than 1 execution in persona? | [
[
"Barcelona",
"8",
"1",
"1",
"15",
"17"
],
[
"Logrono",
"1",
"1",
"0",
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[
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[
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[
"Valencia",
"4... | [
"Valencia",
"Cordoba",
"Cuenca",
"Granada",
"Madrid",
"Murcia",
"Seville",
"Toledo",
"Valladolid"
] | which ones had more than 1 execution in persona? || what are all the spanish tribunals? |
nt-10166 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las... | table_csv/203_303.csv | 2 | {
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} | [
"what are all the spanish tribunals?",
"which ones had more than 1 execution in persona?",
"of those, which ones had more than 1 execution in effigie?"
] | 2 | cordoba, cuenca, granada, madrid, seville, toledo, valladolid | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
] | of those, which ones had more than 1 execution in effigie? | [
[
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"8",
"1",
"1",
"15",
"17"
],
[
"Logrono",
"1",
"1",
"0",
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"1?"
],
[
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"3",
"0",
"0",
"11",
"11"
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[
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"1",
"0",
"0",
"3",
"3"
],
[
"Valencia",
"4... | [
"Cordoba",
"Cuenca",
"Granada",
"Madrid",
"Seville",
"Toledo",
"Valladolid"
] | of those, which ones had more than 1 execution in effigie? || which ones had more than 1 execution in persona? | what are all the spanish tribunals? |
nt-10166 | col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las... | table_csv/203_303.csv | 3 | {
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} | [
"what are all the spanish tribunals?",
"which ones had more than 1 execution in persona?",
"of those, which ones had more than 1 execution in effigie?",
"of those, which had36 executions in persona and 47 executions in effigie?"
] | 2 | granada | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
] | of those, which had36 executions in persona and 47 executions in effigie? | [
[
"Barcelona",
"8",
"1",
"1",
"15",
"17"
],
[
"Logrono",
"1",
"1",
"0",
"0?",
"1?"
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[
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"3",
"0",
"0",
"11",
"11"
],
[
"Saragossa",
"1",
"0",
"0",
"3",
"3"
],
[
"Valencia",
"4... | [
"Granada"
] | of those, which had36 executions in persona and 47 executions in effigie? || of those, which ones had more than 1 execution in effigie? | which ones had more than 1 execution in persona? | what are all the spanish tribunals? |
nt-14136 | col : rank | player | points | points defending | points won | new points | withdrew due to row 1 : 5 | juan martin del potro | 5115 | 720 | 0 | 4395 | right wrist surgery row 2 : 6 | nikolay davydenko | 5145 | 360 | 0 | 4785 | broken wrist row 3 : 20 | radek stepanek | 1705 | 90 | 0 | 1615 | fatigue row 4 : 23 | tommy... | table_csv/204_188.csv | 0 | {
"column_index": [
1
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} | [
"who was the lowest ranking player to withdraw from the 2010 french open?"
] | 0 | ivo karlovic | [
"Rank",
"Player",
"Points",
"Points defending",
"Points won",
"New points",
"Withdrew due to"
] | who was the lowest ranking player to withdraw from the 2010 french open? | [
[
"5",
"Juan Martin del Potro",
"5115",
"720",
"0",
"4395",
"right wrist surgery"
],
[
"6",
"Nikolay Davydenko",
"5145",
"360",
"0",
"4785",
"broken wrist"
],
[
"20",
"Radek Stepanek",
"1705",
"90",
"0",
"1615",
"fatigue"
... | [
"Ivo Karlovic"
] | who was the lowest ranking player to withdraw from the 2010 french open? || |
nt-14136 | col : rank | player | points | points defending | points won | new points | withdrew due to row 1 : 5 | juan martin del potro | 5115 | 720 | 0 | 4395 | right wrist surgery row 2 : 6 | nikolay davydenko | 5145 | 360 | 0 | 4785 | broken wrist row 3 : 20 | radek stepanek | 1705 | 90 | 0 | 1615 | fatigue row 4 : 23 | tommy... | table_csv/204_188.csv | 1 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"who was the lowest ranking player to withdraw from the 2010 french open?",
"who was the highest ranking player to withdraw from the 2010 french open?"
] | 0 | juan martin del potro | [
"Rank",
"Player",
"Points",
"Points defending",
"Points won",
"New points",
"Withdrew due to"
] | who was the highest ranking player to withdraw from the 2010 french open? | [
[
"5",
"Juan Martin del Potro",
"5115",
"720",
"0",
"4395",
"right wrist surgery"
],
[
"6",
"Nikolay Davydenko",
"5145",
"360",
"0",
"4785",
"broken wrist"
],
[
"20",
"Radek Stepanek",
"1705",
"90",
"0",
"1615",
"fatigue"
... | [
"Juan Martin del Potro"
] | who was the highest ranking player to withdraw from the 2010 french open? || who was the lowest ranking player to withdraw from the 2010 french open? |
nt-14136 | col : rank | player | points | points defending | points won | new points | withdrew due to row 1 : 5 | juan martin del potro | 5115 | 720 | 0 | 4395 | right wrist surgery row 2 : 6 | nikolay davydenko | 5145 | 360 | 0 | 4785 | broken wrist row 3 : 20 | radek stepanek | 1705 | 90 | 0 | 1615 | fatigue row 4 : 23 | tommy... | table_csv/204_188.csv | 0 | {
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} | [
"which players withdrew from the 2010 french open?"
] | 1 | juan martin del potro, nikolay davydenko, radek stepanek, tommy haas, gilles simon, ivo karlovic, kim clijsters | [
"Rank",
"Player",
"Points",
"Points defending",
"Points won",
"New points",
"Withdrew due to"
] | which players withdrew from the 2010 french open? | [
[
"5",
"Juan Martin del Potro",
"5115",
"720",
"0",
"4395",
"right wrist surgery"
],
[
"6",
"Nikolay Davydenko",
"5145",
"360",
"0",
"4785",
"broken wrist"
],
[
"20",
"Radek Stepanek",
"1705",
"90",
"0",
"1615",
"fatigue"
... | [
"Juan Martin del Potro",
"Nikolay Davydenko",
"Radek Stepanek",
"Tommy Haas",
"Gilles Simon",
"Ivo Karlovic",
"Kim Clijsters"
] | which players withdrew from the 2010 french open? || |
nt-14136 | col : rank | player | points | points defending | points won | new points | withdrew due to row 1 : 5 | juan martin del potro | 5115 | 720 | 0 | 4395 | right wrist surgery row 2 : 6 | nikolay davydenko | 5145 | 360 | 0 | 4785 | broken wrist row 3 : 20 | radek stepanek | 1705 | 90 | 0 | 1615 | fatigue row 4 : 23 | tommy... | table_csv/204_188.csv | 1 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"which players withdrew from the 2010 french open?",
"of these players, which one ranked the highest?"
] | 1 | juan martin del potro | [
"Rank",
"Player",
"Points",
"Points defending",
"Points won",
"New points",
"Withdrew due to"
] | of these players, which one ranked the highest? | [
[
"5",
"Juan Martin del Potro",
"5115",
"720",
"0",
"4395",
"right wrist surgery"
],
[
"6",
"Nikolay Davydenko",
"5145",
"360",
"0",
"4785",
"broken wrist"
],
[
"20",
"Radek Stepanek",
"1705",
"90",
"0",
"1615",
"fatigue"
... | [
"Juan Martin del Potro"
] | of these players, which one ranked the highest? || which players withdrew from the 2010 french open? |
nt-14136 | col : rank | player | points | points defending | points won | new points | withdrew due to row 1 : 5 | juan martin del potro | 5115 | 720 | 0 | 4395 | right wrist surgery row 2 : 6 | nikolay davydenko | 5145 | 360 | 0 | 4785 | broken wrist row 3 : 20 | radek stepanek | 1705 | 90 | 0 | 1615 | fatigue row 4 : 23 | tommy... | table_csv/204_188.csv | 0 | {
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} | [
"what players withdrew from the tournament?"
] | 2 | juan martin del potro, nikolay davydenko, radek stepanek, tommy haas, gilles simon, ivo karlovic, kim clijsters | [
"Rank",
"Player",
"Points",
"Points defending",
"Points won",
"New points",
"Withdrew due to"
] | what players withdrew from the tournament? | [
[
"5",
"Juan Martin del Potro",
"5115",
"720",
"0",
"4395",
"right wrist surgery"
],
[
"6",
"Nikolay Davydenko",
"5145",
"360",
"0",
"4785",
"broken wrist"
],
[
"20",
"Radek Stepanek",
"1705",
"90",
"0",
"1615",
"fatigue"
... | [
"Juan Martin del Potro",
"Nikolay Davydenko",
"Radek Stepanek",
"Tommy Haas",
"Gilles Simon",
"Ivo Karlovic",
"Kim Clijsters"
] | what players withdrew from the tournament? || |
nt-14136 | col : rank | player | points | points defending | points won | new points | withdrew due to row 1 : 5 | juan martin del potro | 5115 | 720 | 0 | 4395 | right wrist surgery row 2 : 6 | nikolay davydenko | 5145 | 360 | 0 | 4785 | broken wrist row 3 : 20 | radek stepanek | 1705 | 90 | 0 | 1615 | fatigue row 4 : 23 | tommy... | table_csv/204_188.csv | 1 | {
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]
} | [
"what players withdrew from the tournament?",
"of these, who was the highest ranked player?"
] | 2 | juan martin del potro | [
"Rank",
"Player",
"Points",
"Points defending",
"Points won",
"New points",
"Withdrew due to"
] | of these, who was the highest ranked player? | [
[
"5",
"Juan Martin del Potro",
"5115",
"720",
"0",
"4395",
"right wrist surgery"
],
[
"6",
"Nikolay Davydenko",
"5145",
"360",
"0",
"4785",
"broken wrist"
],
[
"20",
"Radek Stepanek",
"1705",
"90",
"0",
"1615",
"fatigue"
... | [
"Juan Martin del Potro"
] | of these, who was the highest ranked player? || what players withdrew from the tournament? |
nt-14139 | col : name | gender | age | from | occupation | prize money (usd) | status row 1 : trisha | female | 28 | santa monica, ca | artist | $26,000 | winner row 2 : london | male | 46 | mt. holly, nj | us coast guard (retired) | $0 | lost row 3 : adria | female | 25 | seattle, wa | bartender | $0 | 7th captured (by ricky ort... | table_csv/203_446.csv | 0 | {
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"who were the contestants?"
] | 0 | trisha, santa monica, ca, $26,000, london, mt. holly, nj, $0, adria, seattle, wa, $0, lucas, carlsbad, ca, $0, andrew, redondo beach, ca, $0, tracy, mililani, hi, $0, lynda, los angeles, ca, $0, darin, fontana, ca, $0, evan, long island, ny, $2,000, ameenah, atlanta, ga, $0 | [
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"Female",
"28",
"Santa Monica, CA",
"Artist",
"$26,000",
"Winner"
],
[
"London",
"Male",
"46",
"Mt. Holly, NJ",
"US Coast Guard (Retired)",
"$0",
"Lost"
],
[
"Adria",
"Female",
"25",
"Seattle, WA",
"Bartender",
"$0",... | [
"Trisha",
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"$26,000",
"London",
"Mt. Holly, NJ",
"$0",
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"$0",
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"$0",
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"Tracy",
"Mililani, HI",
"$0",
"Lynda",
"Los Angeles, CA",
"$0",
"Darin",
"Fontana, CA",
"$0",
"... | who were the contestants? || |
nt-14139 | col : name | gender | age | from | occupation | prize money (usd) | status row 1 : trisha | female | 28 | santa monica, ca | artist | $26,000 | winner row 2 : london | male | 46 | mt. holly, nj | us coast guard (retired) | $0 | lost row 3 : adria | female | 25 | seattle, wa | bartender | $0 | 7th captured (by ricky ort... | table_csv/203_446.csv | 1 | {
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} | [
"who were the contestants?",
"who was from california?"
] | 0 | trisha, santa monica, ca, $26,000, lucas, carlsbad, ca, $0, andrew, redondo beach, ca, $0, lynda, los angeles, ca, $0, darin, fontana, ca, $0 | [
"Name",
"Gender",
"Age",
"From",
"Occupation",
"Prize Money (USD)",
"Status"
] | who was from california? | [
[
"Trisha",
"Female",
"28",
"Santa Monica, CA",
"Artist",
"$26,000",
"Winner"
],
[
"London",
"Male",
"46",
"Mt. Holly, NJ",
"US Coast Guard (Retired)",
"$0",
"Lost"
],
[
"Adria",
"Female",
"25",
"Seattle, WA",
"Bartender",
"$0",... | [
"Trisha",
"Santa Monica, CA",
"$26,000",
"Lucas",
"Carlsbad, CA",
"$0",
"Andrew",
"Redondo Beach, CA",
"$0",
"Lynda",
"Los Angeles, CA",
"$0",
"Darin",
"Fontana, CA",
"$0"
] | who was from california? || who were the contestants? |
nt-14139 | col : name | gender | age | from | occupation | prize money (usd) | status row 1 : trisha | female | 28 | santa monica, ca | artist | $26,000 | winner row 2 : london | male | 46 | mt. holly, nj | us coast guard (retired) | $0 | lost row 3 : adria | female | 25 | seattle, wa | bartender | $0 | 7th captured (by ricky ort... | table_csv/203_446.csv | 2 | {
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} | [
"who were the contestants?",
"who was from california?",
"what were the prize moneys?"
] | 0 | $26,000, $0, $0, $0, $0 | [
"Name",
"Gender",
"Age",
"From",
"Occupation",
"Prize Money (USD)",
"Status"
] | what were the prize moneys? | [
[
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"Female",
"28",
"Santa Monica, CA",
"Artist",
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"Winner"
],
[
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"Male",
"46",
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"US Coast Guard (Retired)",
"$0",
"Lost"
],
[
"Adria",
"Female",
"25",
"Seattle, WA",
"Bartender",
"$0",... | [
"$26,000",
"$0",
"$0",
"$0",
"$0"
] | what were the prize moneys? || who was from california? | who were the contestants? |
nt-14139 | col : name | gender | age | from | occupation | prize money (usd) | status row 1 : trisha | female | 28 | santa monica, ca | artist | $26,000 | winner row 2 : london | male | 46 | mt. holly, nj | us coast guard (retired) | $0 | lost row 3 : adria | female | 25 | seattle, wa | bartender | $0 | 7th captured (by ricky ort... | table_csv/203_446.csv | 3 | {
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]
} | [
"who were the contestants?",
"who was from california?",
"what were the prize moneys?",
"what is the total prize money?"
] | 0 | $26,000 | [
"Name",
"Gender",
"Age",
"From",
"Occupation",
"Prize Money (USD)",
"Status"
] | what is the total prize money? | [
[
"Trisha",
"Female",
"28",
"Santa Monica, CA",
"Artist",
"$26,000",
"Winner"
],
[
"London",
"Male",
"46",
"Mt. Holly, NJ",
"US Coast Guard (Retired)",
"$0",
"Lost"
],
[
"Adria",
"Female",
"25",
"Seattle, WA",
"Bartender",
"$0",... | [
"$26,000"
] | what is the total prize money? || what were the prize moneys? | who was from california? | who were the contestants? |
nt-14139 | col : name | gender | age | from | occupation | prize money (usd) | status row 1 : trisha | female | 28 | santa monica, ca | artist | $26,000 | winner row 2 : london | male | 46 | mt. holly, nj | us coast guard (retired) | $0 | lost row 3 : adria | female | 25 | seattle, wa | bartender | $0 | 7th captured (by ricky ort... | table_csv/203_446.csv | 0 | {
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} | [
"how much did each contestant win?"
] | 1 | $26,000, $0, $0, $0, $0, $0, $0, $0, $2,000, $0 | [
"Name",
"Gender",
"Age",
"From",
"Occupation",
"Prize Money (USD)",
"Status"
] | how much did each contestant win? | [
[
"Trisha",
"Female",
"28",
"Santa Monica, CA",
"Artist",
"$26,000",
"Winner"
],
[
"London",
"Male",
"46",
"Mt. Holly, NJ",
"US Coast Guard (Retired)",
"$0",
"Lost"
],
[
"Adria",
"Female",
"25",
"Seattle, WA",
"Bartender",
"$0",... | [
"$26,000",
"$0",
"$0",
"$0",
"$0",
"$0",
"$0",
"$0",
"$2,000",
"$0"
] | how much did each contestant win? || |
nt-14139 | col : name | gender | age | from | occupation | prize money (usd) | status row 1 : trisha | female | 28 | santa monica, ca | artist | $26,000 | winner row 2 : london | male | 46 | mt. holly, nj | us coast guard (retired) | $0 | lost row 3 : adria | female | 25 | seattle, wa | bartender | $0 | 7th captured (by ricky ort... | table_csv/203_446.csv | 1 | {
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"how much did each contestant win?",
"which prize was the highest?"
] | 1 | $26,000 | [
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nt-14139 | col : name | gender | age | from | occupation | prize money (usd) | status row 1 : trisha | female | 28 | santa monica, ca | artist | $26,000 | winner row 2 : london | male | 46 | mt. holly, nj | us coast guard (retired) | $0 | lost row 3 : adria | female | 25 | seattle, wa | bartender | $0 | 7th captured (by ricky ort... | table_csv/203_446.csv | 0 | {
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"who are all the contestants?"
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nt-14139 | col : name | gender | age | from | occupation | prize money (usd) | status row 1 : trisha | female | 28 | santa monica, ca | artist | $26,000 | winner row 2 : london | male | 46 | mt. holly, nj | us coast guard (retired) | $0 | lost row 3 : adria | female | 25 | seattle, wa | bartender | $0 | 7th captured (by ricky ort... | table_csv/203_446.csv | 1 | {
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"who are all the contestants?",
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nt-14139 | col : name | gender | age | from | occupation | prize money (usd) | status row 1 : trisha | female | 28 | santa monica, ca | artist | $26,000 | winner row 2 : london | male | 46 | mt. holly, nj | us coast guard (retired) | $0 | lost row 3 : adria | female | 25 | seattle, wa | bartender | $0 | 7th captured (by ricky ort... | table_csv/203_446.csv | 2 | {
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} | [
"who are all the contestants?",
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[
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nt-902 | col : season | tier | division | place row 1 : 1949-87 | 5 | regional | -- row 2 : 1987/88 | 5 | pref. aut. | 10th row 3 : 1988/89 | 5 | pref. aut. | 5th row 4 : 1989/90 | 5 | pref. aut. | 13th row 5 : 1990/91 | 5 | pref. aut. | 11th row 6 : 1991/92 | 5 | pref. aut. | 7th row 7 : 1992/93 | 5 | pref. aut. | 9th row 8 : ... | table_csv/204_79.csv | 0 | {
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"what was the rank of the 1995/96 season?",
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[
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"which seasons are included in this list?"
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nt-902 | col : season | tier | division | place row 1 : 1949-87 | 5 | regional | -- row 2 : 1987/88 | 5 | pref. aut. | 10th row 3 : 1988/89 | 5 | pref. aut. | 5th row 4 : 1989/90 | 5 | pref. aut. | 13th row 5 : 1990/91 | 5 | pref. aut. | 11th row 6 : 1991/92 | 5 | pref. aut. | 7th row 7 : 1992/93 | 5 | pref. aut. | 9th row 8 : ... | table_csv/204_79.csv | 1 | {
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} | [
"which seasons are included in this list?",
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] | 1 | 1996/97 | [
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"what place did the team rank in the 95-96 season?",
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[
"1991... | [
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"what are all the countries?"
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"what are all the countries?",
"of those, who has won the most medals overall?"
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[
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"Tunisia",
"2"... | [
"South Africa"
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"how many gold medals does nigeria have?"
] | 1 | 13 | [
"Rank",
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"Bronze",
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] | how many gold medals does nigeria have? | [
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[
"5",
"Tunisia",
"2"... | [
"13"
] | how many gold medals does nigeria have? || |
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[
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"2"... | [
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"how many gold medals does nigeria have?",
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] | 1 | south africa | [
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[
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"2"... | [
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... | [
"which nations were represented at the athletics at the 1999 all-africa games event?"
] | 2 | nigeria, south africa, ethiopia, kenya, tunisia, senegal, ghana, cameroon, egypt, mauritius, mozambique, algeria, madagascar, zimbabwe, tanzania, togo, burkina faso, central african republic, uganda, namibia, ivory coast | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which nations were represented at the athletics at the 1999 all-africa games event? | [
[
"1",
"Nigeria",
"13",
"5",
"6",
"24"
],
[
"2",
"South Africa",
"11",
"11",
"8",
"30"
],
[
"3",
"Ethiopia",
"6",
"3",
"2",
"11"
],
[
"4",
"Kenya",
"5",
"4",
"8",
"17"
],
[
"5",
"Tunisia",
"2"... | [
"Nigeria",
"South Africa",
"Ethiopia",
"Kenya",
"Tunisia",
"Senegal",
"Ghana",
"Cameroon",
"Egypt",
"Mauritius",
"Mozambique",
"Algeria",
"Madagascar",
"Zimbabwe",
"Tanzania",
"Togo",
"Burkina Faso",
"Central African Republic",
"Uganda",
"Namibia",
"Ivory Coast"
] | which nations were represented at the athletics at the 1999 all-africa games event? || |
nt-993 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | nigeria | 13 | 5 | 6 | 24 row 2 : 2 | south africa | 11 | 11 | 8 | 30 row 3 : 3 | ethiopia | 6 | 3 | 2 | 11 row 4 : 4 | kenya | 5 | 4 | 8 | 17 row 5 : 5 | tunisia | 2 | 2 | 1 | 5 row 6 : 6 | senegal | 2 | 1 | 3 | 6 row 7 : 7 | ghana | 2 | 0 | 4 | 6 row 8 ... | table_csv/203_61.csv | 1 | {
"column_index": [
1
],
"row_index": [
1
]
} | [
"which nations were represented at the athletics at the 1999 all-africa games event?",
"and which of those nations won the most overall medals?"
] | 2 | south africa | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | and which of those nations won the most overall medals? | [
[
"1",
"Nigeria",
"13",
"5",
"6",
"24"
],
[
"2",
"South Africa",
"11",
"11",
"8",
"30"
],
[
"3",
"Ethiopia",
"6",
"3",
"2",
"11"
],
[
"4",
"Kenya",
"5",
"4",
"8",
"17"
],
[
"5",
"Tunisia",
"2"... | [
"South Africa"
] | and which of those nations won the most overall medals? || which nations were represented at the athletics at the 1999 all-africa games event? |
nt-2128 | 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": [
4
],
"row_index": [
5
]
} | [
"how many bronze medals did thailand get?"
] | 0 | 3 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | how many bronze medals did thailand get? | [
[
"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"... | [
"3"
] | how many bronze medals did thailand get? || |
nt-2128 | 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": [
4
],
"row_index": [
2
]
} | [
"how many bronze medals did thailand get?",
"how many broze medals did south korea get?"
] | 0 | 1 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | how many broze medals did south korea get? | [
[
"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"... | [
"1"
] | how many broze medals did south korea get? || how many bronze medals did thailand get? |
nt-2128 | 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": [
5
]
} | [
"how many bronze medals did thailand get?",
"how many broze medals did south korea get?",
"between south korea and thailand, who received more bronze medals?"
] | 0 | thailand | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | between south korea and thailand, who received more bronze 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"... | [
"Thailand"
] | between south korea and thailand, who received more bronze medals? || how many broze medals did south korea get? | how many bronze medals did thailand get? |
nt-2128 | 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
],
"row_index": [
4,
5
]
} | [
"what nation earned the most bronze medals?"
] | 1 | chinese taipei, thailand | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what nation earned the most bronze 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"... | [
"Chinese Taipei",
"Thailand"
] | what nation earned the most bronze medals? || |
nt-2128 | 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
],
"row_index": [
5
]
} | [
"what nation earned the most bronze medals?",
"was it thailand or south korea?"
] | 1 | thailand | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | was it thailand or south korea? | [
[
"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"... | [
"Thailand"
] | was it thailand or south korea? || what nation earned the most bronze medals? |
nt-2128 | 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
],
"row_index": [
1,
2,
4,
5
]
} | [
"what asian counties won bronze medals?"
] | 2 | china, south korea, chinese taipei, thailand | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what asian counties won bronze 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"... | [
"China",
"South Korea",
"Chinese Taipei",
"Thailand"
] | what asian counties won bronze medals? || |
nt-2128 | 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": [
4,
5
]
} | [
"what asian counties won bronze medals?",
"of the 4 counties that won bronze medals which 2 won the most?"
] | 2 | chinese taipei, thailand | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of the 4 counties that won bronze medals which 2 won the most? | [
[
"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"... | [
"Chinese Taipei",
"Thailand"
] | of the 4 counties that won bronze medals which 2 won the most? || what asian counties won bronze medals? |
nt-2128 | 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": [
5
]
} | [
"what asian counties won bronze medals?",
"of the 4 counties that won bronze medals which 2 won the most?",
"of these 2 what country is lists as last place?"
] | 2 | thailand | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of these 2 what country is lists as last place? | [
[
"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"... | [
"Thailand"
] | of these 2 what country is lists as last place? || of the 4 counties that won bronze medals which 2 won the most? | what asian counties won bronze medals? |
nt-9941 | col : week | date | opponent | result | attendance row 1 : 1 | september 30, 1956 | philadelphia eagles | w 27-7 | 54,412 row 2 : 2 | october 7, 1956 | at san francisco 49ers | l 33-30 | 54,589 row 3 : 3 | october 14, 1956 | at detroit lions | l 24-21 | 56,281 row 4 : 4 | october 21, 1956 | at green bay packers | l 42-... | table_csv/203_478.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11
]
} | [
"what are all of the dates for the games?"
] | 0 | september 30, 1956, october 7, 1956, october 14, 1956, october 21, 1956, october 28, 1956, november 4, 1956, november 11, 1956, november 18, 1956, november 25, 1956, december 2, 1956, december 9, 1956, december 16, 1956 | [
"Week",
"Date",
"Opponent",
"Result",
"Attendance"
] | what are all of the dates for the games? | [
[
"1",
"September 30, 1956",
"Philadelphia Eagles",
"W 27-7",
"54,412"
],
[
"2",
"October 7, 1956",
"at San Francisco 49ers",
"L 33-30",
"54,589"
],
[
"3",
"October 14, 1956",
"at Detroit Lions",
"L 24-21",
"56,281"
],
[
"4",
"October 2... | [
"September 30, 1956",
"October 7, 1956",
"October 14, 1956",
"October 21, 1956",
"October 28, 1956",
"November 4, 1956",
"November 11, 1956",
"November 18, 1956",
"November 25, 1956",
"December 2, 1956",
"December 9, 1956",
"December 16, 1956"
] | what are all of the dates for the games? || |
nt-9941 | col : week | date | opponent | result | attendance row 1 : 1 | september 30, 1956 | philadelphia eagles | w 27-7 | 54,412 row 2 : 2 | october 7, 1956 | at san francisco 49ers | l 33-30 | 54,589 row 3 : 3 | october 14, 1956 | at detroit lions | l 24-21 | 56,281 row 4 : 4 | october 21, 1956 | at green bay packers | l 42-... | table_csv/203_478.csv | 1 | {
"column_index": [
1,
1
],
"row_index": [
3,
9
]
} | [
"what are all of the dates for the games?",
"which game dates had attendance in the 20,000's?"
] | 0 | october 21, 1956, december 2, 1956 | [
"Week",
"Date",
"Opponent",
"Result",
"Attendance"
] | which game dates had attendance in the 20,000's? | [
[
"1",
"September 30, 1956",
"Philadelphia Eagles",
"W 27-7",
"54,412"
],
[
"2",
"October 7, 1956",
"at San Francisco 49ers",
"L 33-30",
"54,589"
],
[
"3",
"October 14, 1956",
"at Detroit Lions",
"L 24-21",
"56,281"
],
[
"4",
"October 2... | [
"October 21, 1956",
"December 2, 1956"
] | which game dates had attendance in the 20,000's? || what are all of the dates for the games? |
nt-9941 | col : week | date | opponent | result | attendance row 1 : 1 | september 30, 1956 | philadelphia eagles | w 27-7 | 54,412 row 2 : 2 | october 7, 1956 | at san francisco 49ers | l 33-30 | 54,589 row 3 : 3 | october 14, 1956 | at detroit lions | l 24-21 | 56,281 row 4 : 4 | october 21, 1956 | at green bay packers | l 42-... | table_csv/203_478.csv | 2 | {
"column_index": [
1
],
"row_index": [
9
]
} | [
"what are all of the dates for the games?",
"which game dates had attendance in the 20,000's?",
"of these, which day had the lowest attendance"
] | 0 | december 2, 1956 | [
"Week",
"Date",
"Opponent",
"Result",
"Attendance"
] | of these, which day had the lowest attendance | [
[
"1",
"September 30, 1956",
"Philadelphia Eagles",
"W 27-7",
"54,412"
],
[
"2",
"October 7, 1956",
"at San Francisco 49ers",
"L 33-30",
"54,589"
],
[
"3",
"October 14, 1956",
"at Detroit Lions",
"L 24-21",
"56,281"
],
[
"4",
"October 2... | [
"December 2, 1956"
] | of these, which day had the lowest attendance || which game dates had attendance in the 20,000's? | what are all of the dates for the games? |
nt-9941 | col : week | date | opponent | result | attendance row 1 : 1 | september 30, 1956 | philadelphia eagles | w 27-7 | 54,412 row 2 : 2 | october 7, 1956 | at san francisco 49ers | l 33-30 | 54,589 row 3 : 3 | october 14, 1956 | at detroit lions | l 24-21 | 56,281 row 4 : 4 | october 21, 1956 | at green bay packers | l 42-... | table_csv/203_478.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11
]
} | [
"when were all the games played?"
] | 1 | september 30, 1956, october 7, 1956, october 14, 1956, october 21, 1956, october 28, 1956, november 4, 1956, november 11, 1956, november 18, 1956, november 25, 1956, december 2, 1956, december 9, 1956, december 16, 1956 | [
"Week",
"Date",
"Opponent",
"Result",
"Attendance"
] | when were all the games played? | [
[
"1",
"September 30, 1956",
"Philadelphia Eagles",
"W 27-7",
"54,412"
],
[
"2",
"October 7, 1956",
"at San Francisco 49ers",
"L 33-30",
"54,589"
],
[
"3",
"October 14, 1956",
"at Detroit Lions",
"L 24-21",
"56,281"
],
[
"4",
"October 2... | [
"September 30, 1956",
"October 7, 1956",
"October 14, 1956",
"October 21, 1956",
"October 28, 1956",
"November 4, 1956",
"November 11, 1956",
"November 18, 1956",
"November 25, 1956",
"December 2, 1956",
"December 9, 1956",
"December 16, 1956"
] | when were all the games played? || |
nt-9941 | col : week | date | opponent | result | attendance row 1 : 1 | september 30, 1956 | philadelphia eagles | w 27-7 | 54,412 row 2 : 2 | october 7, 1956 | at san francisco 49ers | l 33-30 | 54,589 row 3 : 3 | october 14, 1956 | at detroit lions | l 24-21 | 56,281 row 4 : 4 | october 21, 1956 | at green bay packers | l 42-... | table_csv/203_478.csv | 1 | {
"column_index": [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11
]
} | [
"when were all the games played?",
"what were all the attendance numbers??"
] | 1 | 54,412, 54,589, 56,281, 24,200, 76,758, 69,894, 69,828, 48,102, 40,321, 20,450, 51,037, 45,209 | [
"Week",
"Date",
"Opponent",
"Result",
"Attendance"
] | what were all the attendance numbers?? | [
[
"1",
"September 30, 1956",
"Philadelphia Eagles",
"W 27-7",
"54,412"
],
[
"2",
"October 7, 1956",
"at San Francisco 49ers",
"L 33-30",
"54,589"
],
[
"3",
"October 14, 1956",
"at Detroit Lions",
"L 24-21",
"56,281"
],
[
"4",
"October 2... | [
"54,412",
"54,589",
"56,281",
"24,200",
"76,758",
"69,894",
"69,828",
"48,102",
"40,321",
"20,450",
"51,037",
"45,209"
] | what were all the attendance numbers?? || when were all the games played? |
nt-9941 | col : week | date | opponent | result | attendance row 1 : 1 | september 30, 1956 | philadelphia eagles | w 27-7 | 54,412 row 2 : 2 | october 7, 1956 | at san francisco 49ers | l 33-30 | 54,589 row 3 : 3 | october 14, 1956 | at detroit lions | l 24-21 | 56,281 row 4 : 4 | october 21, 1956 | at green bay packers | l 42-... | table_csv/203_478.csv | 2 | {
"column_index": [
4
],
"row_index": [
9
]
} | [
"when were all the games played?",
"what were all the attendance numbers??",
"which of these is close to 20,000?"
] | 1 | 20,450 | [
"Week",
"Date",
"Opponent",
"Result",
"Attendance"
] | which of these is close to 20,000? | [
[
"1",
"September 30, 1956",
"Philadelphia Eagles",
"W 27-7",
"54,412"
],
[
"2",
"October 7, 1956",
"at San Francisco 49ers",
"L 33-30",
"54,589"
],
[
"3",
"October 14, 1956",
"at Detroit Lions",
"L 24-21",
"56,281"
],
[
"4",
"October 2... | [
"20,450"
] | which of these is close to 20,000? || what were all the attendance numbers?? | when were all the games played? |
nt-9941 | col : week | date | opponent | result | attendance row 1 : 1 | september 30, 1956 | philadelphia eagles | w 27-7 | 54,412 row 2 : 2 | october 7, 1956 | at san francisco 49ers | l 33-30 | 54,589 row 3 : 3 | october 14, 1956 | at detroit lions | l 24-21 | 56,281 row 4 : 4 | october 21, 1956 | at green bay packers | l 42-... | table_csv/203_478.csv | 3 | {
"column_index": [
1
],
"row_index": [
9
]
} | [
"when were all the games played?",
"what were all the attendance numbers??",
"which of these is close to 20,000?",
"on what day was this?"
] | 1 | december 2, 1956 | [
"Week",
"Date",
"Opponent",
"Result",
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"October 2... | [
"December 2, 1956"
] | on what day was this? || which of these is close to 20,000? | what were all the attendance numbers?? | when were all the games played? |
nt-9941 | col : week | date | opponent | result | attendance row 1 : 1 | september 30, 1956 | philadelphia eagles | w 27-7 | 54,412 row 2 : 2 | october 7, 1956 | at san francisco 49ers | l 33-30 | 54,589 row 3 : 3 | october 14, 1956 | at detroit lions | l 24-21 | 56,281 row 4 : 4 | october 21, 1956 | at green bay packers | l 42-... | table_csv/203_478.csv | 0 | {
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"what are all the dates a game was played on?"
] | 2 | september 30, 1956, october 7, 1956, october 14, 1956, october 21, 1956, october 28, 1956, november 4, 1956, november 11, 1956, november 18, 1956, november 25, 1956, december 2, 1956, december 9, 1956, december 16, 1956 | [
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"Date",
"Opponent",
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"Attendance"
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"November 11, 1956",
"November 18, 1956",
"November 25, 1956",
"December 2, 1956",
"December 9, 1956",
"December 16, 1956"
] | what are all the dates a game was played on? || |
nt-9941 | col : week | date | opponent | result | attendance row 1 : 1 | september 30, 1956 | philadelphia eagles | w 27-7 | 54,412 row 2 : 2 | october 7, 1956 | at san francisco 49ers | l 33-30 | 54,589 row 3 : 3 | october 14, 1956 | at detroit lions | l 24-21 | 56,281 row 4 : 4 | october 21, 1956 | at green bay packers | l 42-... | table_csv/203_478.csv | 1 | {
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"what are all the dates a game was played on?",
"what are all the attendance figures for the season?"
] | 2 | 54,412, 54,589, 56,281, 24,200, 76,758, 69,894, 69,828, 48,102, 40,321, 20,450, 51,037, 45,209 | [
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"76,758",
"69,894",
"69,828",
"48,102",
"40,321",
"20,450",
"51,037",
"45,209"
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nt-9941 | col : week | date | opponent | result | attendance row 1 : 1 | september 30, 1956 | philadelphia eagles | w 27-7 | 54,412 row 2 : 2 | october 7, 1956 | at san francisco 49ers | l 33-30 | 54,589 row 3 : 3 | october 14, 1956 | at detroit lions | l 24-21 | 56,281 row 4 : 4 | october 21, 1956 | at green bay packers | l 42-... | table_csv/203_478.csv | 2 | {
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"what are all the dates a game was played on?",
"what are all the attendance figures for the season?",
"on which date were there just slightly more than 20,000 in attendance?"
] | 2 | december 2, 1956 | [
"Week",
"Date",
"Opponent",
"Result",
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] | on which date were there just slightly more than 20,000 in attendance? | [
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"4",
"October 2... | [
"December 2, 1956"
] | on which date were there just slightly more than 20,000 in attendance? || what are all the attendance figures for the season? | what are all the dates a game was played on? |
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ns-2191 | 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 | {
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"what are all of the game titles?",
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"6th Gen",
"Handheld",
"Note"
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[
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"2004",
"2004",
"2004",
"2005",
"2005"
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ns-2191 | 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 | {
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"what are all of the game titles?",
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"Title",
"Release",
"6th Gen",
"Handheld",
"Note"
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"Buggy Grand Prix: Kattobi! Dai-Sakus",
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[
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"PlayStation 2",
"nan",
... | [
"Buggy Grand Prix: Kattobi! Dai-Sakus"
] | what game title wasn't released in 2004 or 2005? || what are all of the release dates? | what are all of the game titles? |
ns-2191 | 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 | {
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"what are the titles of the psikyo games?"
] | 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 titles of the psikyo games? | [
[
"Buggy Grand Prix: Kattobi! Dai-Sakus",
"2003",
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"nan",
"nan"
],
[
"Gunbird Special Edition / Gunbird 1&2",
"2004",
"PlayStation 2",
"nan",
"nan"
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[
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"2004",
"PlayStation 2",
"nan",
... | [
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"Psikyo Shooting Collection Vol. 3: Sol Divide",
"Taisen Hot Gimmick: Cosplay Mahjong",
"Sengoku Cannon",
"Taisen Hot Gimmick: A... | what are the titles of the psikyo games? || |
ns-2191 | 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 | {
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"what are the titles of the psikyo games?",
"which of these was released in 2003?"
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"Title",
"Release",
"6th Gen",
"Handheld",
"Note"
] | which of these was released in 2003? | [
[
"Buggy Grand Prix: Kattobi! Dai-Sakus",
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[
"Gunbird Special Edition / Gunbird 1&2",
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"nan",
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],
[
"Psikyo Shooting Collection Vol. 1: Strikers",
"2004",
"PlayStation 2",
"nan",
... | [
"Buggy Grand Prix: Kattobi! Dai-Sakus"
] | which of these was released in 2003? || what are the titles of the psikyo games? |
ns-2191 | 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 | {
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"what are all of the titles?"
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"Title",
"Release",
"6th Gen",
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"Note"
] | what are all of the titles? | [
[
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[
"Gunbird Special Edition / Gunbird 1&2",
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[
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"Psikyo Shooting Collection Vol. 3: Sol Divide",
"Taisen Hot Gimmick: Cosplay Mahjong",
"Sengoku Cannon",
"Taisen Hot Gimmick: A... | what are all of the titles? || |
ns-2191 | 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 | {
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"what are all of the titles?",
"when were they released?"
] | 2 | 2003, 2004, 2004, 2004, 2004, 2004, 2005, 2005 | [
"Title",
"Release",
"6th Gen",
"Handheld",
"Note"
] | when were they released? | [
[
"Buggy Grand Prix: Kattobi! Dai-Sakus",
"2003",
"PlayStation 2",
"nan",
"nan"
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[
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"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 1: Strikers",
"2004",
"PlayStation 2",
"nan",
... | [
"2003",
"2004",
"2004",
"2004",
"2004",
"2004",
"2005",
"2005"
] | when were they released? || what are all of the titles? |
ns-2191 | 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 | {
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"what are all of the titles?",
"when were they released?",
"and which was released in 2003?"
] | 2 | buggy grand prix: kattobi! dai-sakus | [
"Title",
"Release",
"6th Gen",
"Handheld",
"Note"
] | and which was released in 2003? | [
[
"Buggy Grand Prix: Kattobi! Dai-Sakus",
"2003",
"PlayStation 2",
"nan",
"nan"
],
[
"Gunbird Special Edition / Gunbird 1&2",
"2004",
"PlayStation 2",
"nan",
"nan"
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[
"Psikyo Shooting Collection Vol. 1: Strikers",
"2004",
"PlayStation 2",
"nan",
... | [
"Buggy Grand Prix: Kattobi! Dai-Sakus"
] | and which was released in 2003? || when were they released? | what are all of the titles? |
nt-906 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 0 | {
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"what is the lowest avaible caliber shown here?"
] | 0 | .31 percussion and .32 cf | [
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"Years Mfg'd",
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"Barrel",
"Notes"
] | what is the lowest avaible caliber shown here? | [
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"14,500 (estimated)",
"7 1/2 inch octagon",
"nan"
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[
"186... | [
".31 percussion and .32 CF"
] | what is the lowest avaible caliber shown here? || |
nt-906 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 1 | {
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"what is the lowest avaible caliber shown here?",
"what model is available with .31 percussion and .32 cf?"
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"Years Mfg'd",
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"Production",
"Barrel",
"Notes"
] | what model is available with .31 percussion and .32 cf? | [
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"nan"
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[
"186... | [
"New Model Pocket Revolver"
] | what model is available with .31 percussion and .32 cf? || what is the lowest avaible caliber shown here? |
nt-906 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 0 | {
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"what are the remington models?"
] | 1 | remington-beals army model revolver, remington-beals navy model revolver, 1861 army revolver (old model army), 1861 navy revolver, new model army revolver, new model navy revolver, new model single action belt revolver, remington-rider double action new model belt revolver, new model police revolver, new model pocket r... | [
"Model",
"Frame",
"Years Mfg'd",
"Caliber(s)",
"Production",
"Barrel",
"Notes"
] | what are the remington models? | [
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"Large",
"1861-1862",
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[
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"Medium",
"1861-1862",
".36",
"14,500 (estimated)",
"7 1/2 inch octagon",
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[
"186... | [
"Remington-Beals Army Model Revolver",
"Remington-Beals Navy Model Revolver",
"1861 Army Revolver (Old Model Army)",
"1861 Navy Revolver",
"New Model Army Revolver",
"New Model Navy Revolver",
"New Model Single Action Belt Revolver",
"Remington-Rider Double Action New Model Belt Revolver",
"New Mode... | what are the remington models? || |
nt-906 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 1 | {
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"what are the remington models?",
"of these, which one has the lowest caliber?"
] | 1 | new model pocket revolver | [
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"Frame",
"Years Mfg'd",
"Caliber(s)",
"Production",
"Barrel",
"Notes"
] | of these, which one has the lowest caliber? | [
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"14,500 (estimated)",
"7 1/2 inch octagon",
"nan"
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[
"186... | [
"New Model Pocket Revolver"
] | of these, which one has the lowest caliber? || what are the remington models? |
nt-906 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 0 | {
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"what is the lowest caliber present?"
] | 2 | .31 percussion and .32 cf | [
"Model",
"Frame",
"Years Mfg'd",
"Caliber(s)",
"Production",
"Barrel",
"Notes"
] | what is the lowest caliber present? | [
[
"Remington-Beals Army Model Revolver",
"Large",
"1861-1862",
".44",
"1,900 (estimated)",
"8 inch octagon",
"nan"
],
[
"Remington-Beals Navy Model Revolver",
"Medium",
"1861-1862",
".36",
"14,500 (estimated)",
"7 1/2 inch octagon",
"nan"
],
[
"186... | [
".31 percussion and .32 CF"
] | what is the lowest caliber present? || |
nt-906 | col : model | frame | years mfg'd | caliber(s) | production | barrel | notes row 1 : remington-beals army model revolver | large | 1861-1862 | .44 | 1,900 (estimated) | 8 inch octagon | nan row 2 : remington-beals navy model revolver | medium | 1861-1862 | .36 | 14,500 (estimated) | 7 1/2 inch octagon | nan row 3 : 186... | table_csv/203_253.csv | 1 | {
"column_index": [
0
],
"row_index": [
9
]
} | [
"what is the lowest caliber present?",
"what model contains this caliber?"
] | 2 | new model pocket revolver | [
"Model",
"Frame",
"Years Mfg'd",
"Caliber(s)",
"Production",
"Barrel",
"Notes"
] | what model contains this caliber? | [
[
"Remington-Beals Army Model Revolver",
"Large",
"1861-1862",
".44",
"1,900 (estimated)",
"8 inch octagon",
"nan"
],
[
"Remington-Beals Navy Model Revolver",
"Medium",
"1861-1862",
".36",
"14,500 (estimated)",
"7 1/2 inch octagon",
"nan"
],
[
"186... | [
"New Model Pocket Revolver"
] | what model contains this caliber? || what is the lowest caliber present? |
nt-3466 | col : community | airport name | type | coordinates row 1 : antil plains | antil plains aerodrome | military | 19deg26'36''s 146deg49' row 2 : eagle farm, brisbane | eagle farm airport | military/public | 27deg25'30''s 153deg05' row 3 : charters towers | breddan aerodrome | military | 19deg56'34''s 146deg14' row 4 : pe... | table_csv/204_139.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"what airports are in queensland?"
] | 0 | antil plains aerodrome, eagle farm airport, breddan aerodrome, petrie airfield, tarampa airfield, aitkenvale aerodrome, bohle river aerodrome, reid river airfield | [
"Community",
"Airport name",
"Type",
"Coordinates"
] | what airports are in queensland? | [
[
"Antil Plains",
"Antil Plains Aerodrome",
"Military",
"19deg26'36''S 146deg49'"
],
[
"Eagle Farm, Brisbane",
"Eagle Farm Airport",
"Military/Public",
"27deg25'30''S 153deg05'"
],
[
"Charters Towers",
"Breddan Aerodrome",
"Military",
"19deg56'34''S 146deg14'"... | [
"Antil Plains Aerodrome",
"Eagle Farm Airport",
"Breddan Aerodrome",
"Petrie Airfield",
"Tarampa Airfield",
"Aitkenvale Aerodrome",
"Bohle River Aerodrome",
"Reid River Airfield"
] | what airports are in queensland? || |
nt-3466 | col : community | airport name | type | coordinates row 1 : antil plains | antil plains aerodrome | military | 19deg26'36''s 146deg49' row 2 : eagle farm, brisbane | eagle farm airport | military/public | 27deg25'30''s 153deg05' row 3 : charters towers | breddan aerodrome | military | 19deg56'34''s 146deg14' row 4 : pe... | table_csv/204_139.csv | 1 | {
"column_index": [
1
],
"row_index": [
1
]
} | [
"what airports are in queensland?",
"which are open to the public public?"
] | 0 | eagle farm airport | [
"Community",
"Airport name",
"Type",
"Coordinates"
] | which are open to the public public? | [
[
"Antil Plains",
"Antil Plains Aerodrome",
"Military",
"19deg26'36''S 146deg49'"
],
[
"Eagle Farm, Brisbane",
"Eagle Farm Airport",
"Military/Public",
"27deg25'30''S 153deg05'"
],
[
"Charters Towers",
"Breddan Aerodrome",
"Military",
"19deg56'34''S 146deg14'"... | [
"Eagle Farm Airport"
] | which are open to the public public? || what airports are in queensland? |
nt-3466 | col : community | airport name | type | coordinates row 1 : antil plains | antil plains aerodrome | military | 19deg26'36''s 146deg49' row 2 : eagle farm, brisbane | eagle farm airport | military/public | 27deg25'30''s 153deg05' row 3 : charters towers | breddan aerodrome | military | 19deg56'34''s 146deg14' row 4 : pe... | table_csv/204_139.csv | 2 | {
"column_index": [
0
],
"row_index": [
1
]
} | [
"what airports are in queensland?",
"which are open to the public public?",
"where is that located?"
] | 0 | eagle farm, brisbane | [
"Community",
"Airport name",
"Type",
"Coordinates"
] | where is that located? | [
[
"Antil Plains",
"Antil Plains Aerodrome",
"Military",
"19deg26'36''S 146deg49'"
],
[
"Eagle Farm, Brisbane",
"Eagle Farm Airport",
"Military/Public",
"27deg25'30''S 153deg05'"
],
[
"Charters Towers",
"Breddan Aerodrome",
"Military",
"19deg56'34''S 146deg14'"... | [
"Eagle Farm, Brisbane"
] | where is that located? || which are open to the public public? | what airports are in queensland? |
nt-3466 | col : community | airport name | type | coordinates row 1 : antil plains | antil plains aerodrome | military | 19deg26'36''s 146deg49' row 2 : eagle farm, brisbane | eagle farm airport | military/public | 27deg25'30''s 153deg05' row 3 : charters towers | breddan aerodrome | military | 19deg56'34''s 146deg14' row 4 : pe... | table_csv/204_139.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"which airports call queensland home?"
] | 1 | antil plains aerodrome, eagle farm airport, breddan aerodrome, petrie airfield, tarampa airfield, aitkenvale aerodrome, bohle river aerodrome, reid river airfield | [
"Community",
"Airport name",
"Type",
"Coordinates"
] | which airports call queensland home? | [
[
"Antil Plains",
"Antil Plains Aerodrome",
"Military",
"19deg26'36''S 146deg49'"
],
[
"Eagle Farm, Brisbane",
"Eagle Farm Airport",
"Military/Public",
"27deg25'30''S 153deg05'"
],
[
"Charters Towers",
"Breddan Aerodrome",
"Military",
"19deg56'34''S 146deg14'"... | [
"Antil Plains Aerodrome",
"Eagle Farm Airport",
"Breddan Aerodrome",
"Petrie Airfield",
"Tarampa Airfield",
"Aitkenvale Aerodrome",
"Bohle River Aerodrome",
"Reid River Airfield"
] | which airports call queensland home? || |
nt-3466 | col : community | airport name | type | coordinates row 1 : antil plains | antil plains aerodrome | military | 19deg26'36''s 146deg49' row 2 : eagle farm, brisbane | eagle farm airport | military/public | 27deg25'30''s 153deg05' row 3 : charters towers | breddan aerodrome | military | 19deg56'34''s 146deg14' row 4 : pe... | table_csv/204_139.csv | 1 | {
"column_index": [
1
],
"row_index": [
1
]
} | [
"which airports call queensland home?",
"which of these airports are available to the public?"
] | 1 | eagle farm airport | [
"Community",
"Airport name",
"Type",
"Coordinates"
] | which of these airports are available to the public? | [
[
"Antil Plains",
"Antil Plains Aerodrome",
"Military",
"19deg26'36''S 146deg49'"
],
[
"Eagle Farm, Brisbane",
"Eagle Farm Airport",
"Military/Public",
"27deg25'30''S 153deg05'"
],
[
"Charters Towers",
"Breddan Aerodrome",
"Military",
"19deg56'34''S 146deg14'"... | [
"Eagle Farm Airport"
] | which of these airports are available to the public? || which airports call queensland home? |
nt-3466 | col : community | airport name | type | coordinates row 1 : antil plains | antil plains aerodrome | military | 19deg26'36''s 146deg49' row 2 : eagle farm, brisbane | eagle farm airport | military/public | 27deg25'30''s 153deg05' row 3 : charters towers | breddan aerodrome | military | 19deg56'34''s 146deg14' row 4 : pe... | table_csv/204_139.csv | 2 | {
"column_index": [
0
],
"row_index": [
1
]
} | [
"which airports call queensland home?",
"which of these airports are available to the public?",
"what community is that airport in?"
] | 1 | eagle farm, brisbane | [
"Community",
"Airport name",
"Type",
"Coordinates"
] | what community is that airport in? | [
[
"Antil Plains",
"Antil Plains Aerodrome",
"Military",
"19deg26'36''S 146deg49'"
],
[
"Eagle Farm, Brisbane",
"Eagle Farm Airport",
"Military/Public",
"27deg25'30''S 153deg05'"
],
[
"Charters Towers",
"Breddan Aerodrome",
"Military",
"19deg56'34''S 146deg14'"... | [
"Eagle Farm, Brisbane"
] | what community is that airport in? || which of these airports are available to the public? | which airports call queensland home? |
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