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|---|---|---|---|---|---|---|---|---|---|---|---|---|
ns-1978 | col : rank | player | county | tally | total | opposition row 1 : 1 | nicky english | tipperary | 2-12 | 18 | antrim row 2 : 2 | mark corrigan | offaly | 3-7 | 16 | kilkenny row 3 : 3 | joe hennessy | kerry | 3-5 | 14 | limerick row 4 : 3 | finbarr delaney | cork | 1-11 | 14 | waterford row 5 : 5 | nicky english | tipp... | table_csv/204_952.csv | 1 | {
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"how many players came from dublin county?",
"what is his name?"
] | 2 | m. j. ryan | [
"Rank",
"Player",
"County",
"Tally",
"Total",
"Opposition"
] | what is his name? | [
[
"1",
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"2-12",
"18",
"Antrim"
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[
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"3-5",
"14",
"Limerick"
],
[
"3",
"Finbarr Delaney",
"Cork",
... | [
"M. J. Ryan"
] | what is his name? || how many players came from dublin county? |
nt-6430 | 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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"how many total medals did spain win?"
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[
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"... | [
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"how many total medals did spain win?",
"how many medals did the next highest nation win?"
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nt-6430 | 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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} | [
"how many total medals did spain win?",
"how many medals did the next highest nation win?",
"what country was that?"
] | 0 | belgium | [
"Rank",
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"Bronze",
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[
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"Great Britain",
"... | [
"Belgium"
] | what country was that? || how many medals did the next highest nation win? | how many total medals did spain win? |
nt-6430 | 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 countries competed?"
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"... | [
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"Italy",
"Belgium",
"Spain",
"Great Britain",
"Germany",
"Greece",
"Russia",
"Sweden",
"France"
] | what countries competed? || |
nt-6430 | 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 countries competed?",
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] | 1 | netherlands, 29, italy, 28, belgium, 9, spain, 15, great britain, 2, germany, 8, greece, 1, russia, 1, sweden, 2, france, 1 | [
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"... | [
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] | how many medals did each earn? || what countries competed? |
nt-6430 | 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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} | [
"what countries competed?",
"how many medals did each earn?",
"who was after span with 15?"
] | 1 | belgium | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | who was after span with 15? | [
[
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[
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"... | [
"Belgium"
] | who was after span with 15? || how many medals did each earn? | what countries competed? |
nt-6430 | 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 played?"
] | 2 | netherlands, italy, belgium, spain, great britain, germany, greece, russia, sweden, france | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which nations played? | [
[
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"Netherlands",
"20",
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"29"
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[
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"... | [
"Netherlands",
"Italy",
"Belgium",
"Spain",
"Great Britain",
"Germany",
"Greece",
"Russia",
"Sweden",
"France"
] | which nations played? || |
nt-6430 | 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 played?",
"how many medals did they win?"
] | 2 | 29, 28, 9, 15, 2, 8, 1, 1, 2, 1 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | how many medals did they win? | [
[
"1",
"Netherlands",
"20",
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"0",
"29"
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[
"2",
"Italy",
"10",
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[
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[
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[
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"... | [
"29",
"28",
"9",
"15",
"2",
"8",
"1",
"1",
"2",
"1"
] | how many medals did they win? || which nations played? |
nt-6430 | 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 played?",
"how many medals did they win?",
"which country was slightly behind spain in medals won?"
] | 2 | belgium | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which country was slightly behind spain in medals won? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
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"Italy",
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[
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[
"4",
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"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Belgium"
] | which country was slightly behind spain in medals won? || how many medals did they win? | which nations played? |
ns-2613 | col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 ... | table_csv/204_893.csv | 0 | {
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} | [
"who were the third place champions of the men's 3000 meteres event?"
] | 0 | alberto garcia, antonio david jimenez, jesus espana, john mayock | [
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] | who were the third place champions of the men's 3000 meteres event? | [
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"n... | [
"Alberto Garcia",
"Antonio David Jimenez",
"Jesus Espana",
"John Mayock"
] | who were the third place champions of the men's 3000 meteres event? || |
ns-2613 | col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 ... | table_csv/204_893.csv | 1 | {
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} | [
"who were the third place champions of the men's 3000 meteres event?",
"which one was not from spain?"
] | 0 | john mayock | [
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] | which one was not from spain? | [
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"n... | [
"John Mayock"
] | which one was not from spain? || who were the third place champions of the men's 3000 meteres event? |
ns-2613 | col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 ... | table_csv/204_893.csv | 0 | {
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} | [
"who competed in the 2002 european athletics indoor championships - men's 3000 metres?"
] | 1 | alberto garcia, antonio david jimenez, jesus espana, john mayock, michael buchleitner, mohammed mourhit, sergey ivanov, mindaugas pukstas, irba lakhal, joakim johansson, harald steindorfer, ferdinando vicari, martin steinbauer, christos papapetrou | [
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] | who competed in the 2002 european athletics indoor championships - men's 3000 metres? | [
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"n... | [
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"Antonio David Jimenez",
"Jesus Espana",
"John Mayock",
"Michael Buchleitner",
"Mohammed Mourhit",
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"Mindaugas Pukstas",
"Irba Lakhal",
"Joakim Johansson",
"Harald Steindorfer",
"Ferdinando Vicari",
"Martin Steinbauer",
"Christos Papapetrou"
] | who competed in the 2002 european athletics indoor championships - men's 3000 metres? || |
ns-2613 | col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 ... | table_csv/204_893.csv | 1 | {
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"who competed in the 2002 european athletics indoor championships - men's 3000 metres?",
"of these competitors, which ones were not from spain?"
] | 1 | john mayock, michael buchleitner, mohammed mourhit, sergey ivanov, mindaugas pukstas, irba lakhal, joakim johansson, harald steindorfer, ferdinando vicari, martin steinbauer, christos papapetrou | [
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] | of these competitors, which ones were not from spain? | [
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"CR"
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[
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"n... | [
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"Irba Lakhal",
"Joakim Johansson",
"Harald Steindorfer",
"Ferdinando Vicari",
"Martin Steinbauer",
"Christos Papapetrou"
] | of these competitors, which ones were not from spain? || who competed in the 2002 european athletics indoor championships - men's 3000 metres? |
ns-2613 | col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 ... | table_csv/204_893.csv | 2 | {
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} | [
"who competed in the 2002 european athletics indoor championships - men's 3000 metres?",
"of these competitors, which ones were not from spain?",
"of these competitors, which one took third place?"
] | 1 | john mayock | [
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] | of these competitors, which one took third place? | [
[
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"Alberto Garcia",
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"7:48.08",
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],
[
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"John Mayock",
"Great Britain",
"7:48.08",
"n... | [
"John Mayock"
] | of these competitors, which one took third place? || of these competitors, which ones were not from spain? | who competed in the 2002 european athletics indoor championships - men's 3000 metres? |
ns-2613 | col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 ... | table_csv/204_893.csv | 0 | {
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} | [
"what are all the times?"
] | 2 | 7:43.89, 7:46.49, 7:48.08, 7:48.08, 7:54.39, 7:59.79, 8:02.98, 8:03.21, 8:03.38, 8:06.47, 8:09.21, 8:17.46, 8:22.06, 8:30.59 | [
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] | what are all the times? | [
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"n... | [
"7:43.89",
"7:46.49",
"7:48.08",
"7:48.08",
"7:54.39",
"7:59.79",
"8:02.98",
"8:03.21",
"8:03.38",
"8:06.47",
"8:09.21",
"8:17.46",
"8:22.06",
"8:30.59"
] | what are all the times? || |
ns-2613 | col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 ... | table_csv/204_893.csv | 1 | {
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} | [
"what are all the times?",
"of these, which are less than 7.50.00?"
] | 2 | 7:43.89, 7:46.49, 7:48.08, 7:48.08 | [
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] | of these, which are less than 7.50.00? | [
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"n... | [
"7:43.89",
"7:46.49",
"7:48.08",
"7:48.08"
] | of these, which are less than 7.50.00? || what are all the times? |
ns-2613 | col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 ... | table_csv/204_893.csv | 2 | {
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} | [
"what are all the times?",
"of these, which are less than 7.50.00?",
"what are the nationalities of these?"
] | 2 | spain, spain, spain, great britain | [
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] | what are the nationalities of these? | [
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"n... | [
"Spain",
"Spain",
"Spain",
"Great Britain"
] | what are the nationalities of these? || of these, which are less than 7.50.00? | what are all the times? |
ns-2613 | col : rank | name | nationality | time | notes row 1 : nan | alberto garcia | spain | 7:43.89 | cr row 2 : nan | antonio david jimenez | spain | 7:46.49 | pb row 3 : nan | jesus espana | spain | 7:48.08 | pb row 4 : nan | john mayock | great britain | 7:48.08 | nan row 5 : 5.0 | michael buchleitner | austria | 7:54.39 ... | table_csv/204_893.csv | 3 | {
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1
],
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3
]
} | [
"what are all the times?",
"of these, which are less than 7.50.00?",
"what are the nationalities of these?",
"of these, which athlete is not from spain?"
] | 2 | john mayock | [
"Rank",
"Name",
"Nationality",
"Time",
"Notes"
] | of these, which athlete is not from spain? | [
[
"nan",
"Alberto Garcia",
"Spain",
"7:43.89",
"CR"
],
[
"nan",
"Antonio David Jimenez",
"Spain",
"7:46.49",
"PB"
],
[
"nan",
"Jesus Espana",
"Spain",
"7:48.08",
"PB"
],
[
"nan",
"John Mayock",
"Great Britain",
"7:48.08",
"n... | [
"John Mayock"
] | of these, which athlete is not from spain? || what are the nationalities of these? | of these, which are less than 7.50.00? | what are all the times? |
nt-12031 | col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta... | table_csv/204_987.csv | 0 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"how many brangays are in angono?"
] | 0 | 10 | [
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] | how many brangays are in angono? | [
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
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],
[
"Binangonan",
"40",
"66.34",
"249,872",
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],
[
"Cai... | [
"10"
] | how many brangays are in angono? || |
nt-12031 | col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta... | table_csv/204_987.csv | 1 | {
"column_index": [
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"row_index": [
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} | [
"how many brangays are in angono?",
"how many barangays are in antipolo?"
] | 0 | 16 | [
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] | how many barangays are in antipolo? | [
[
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"10",
"26.22",
"102,407",
"3,905.68"
],
[
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],
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],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cai... | [
"16"
] | how many barangays are in antipolo? || how many brangays are in angono? |
nt-12031 | col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta... | table_csv/204_987.csv | 2 | {
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} | [
"how many brangays are in angono?",
"how many barangays are in antipolo?",
"barangays morong and rodriquez equals the number to which other municipality?"
] | 0 | tanay | [
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] | barangays morong and rodriquez equals the number to which other municipality? | [
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
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"16",
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[
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],
[
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"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cai... | [
"Tanay"
] | barangays morong and rodriquez equals the number to which other municipality? || how many barangays are in antipolo? | how many brangays are in angono? |
nt-12031 | col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta... | table_csv/204_987.csv | 0 | {
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} | [
"which cities are in rizal?"
] | 1 | angono, antipolo, baras, binangonan, cainta, cardona, jalajala, morong, pililla, rodriguez, san mateo, tanay, taytay, teresa | [
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] | which cities are in rizal? | [
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cai... | [
"Angono",
"Antipolo",
"Baras",
"Binangonan",
"Cainta",
"Cardona",
"Jalajala",
"Morong",
"Pililla",
"Rodriguez",
"San Mateo",
"Tanay",
"Taytay",
"Teresa"
] | which cities are in rizal? || |
nt-12031 | col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta... | table_csv/204_987.csv | 1 | {
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} | [
"which cities are in rizal?",
"how many barangays do they have?"
] | 1 | 10, 16, 10, 40, 7, 18, 11, 8, 9, 11, 15, 19, 5, 9 | [
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] | how many barangays do they have? | [
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
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"2,214.12"
],
[
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"84.93",
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"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cai... | [
"10",
"16",
"10",
"40",
"7",
"18",
"11",
"8",
"9",
"11",
"15",
"19",
"5",
"9"
] | how many barangays do they have? || which cities are in rizal? |
nt-12031 | col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta... | table_csv/204_987.csv | 2 | {
"column_index": [
1,
1
],
"row_index": [
7,
9
]
} | [
"which cities are in rizal?",
"how many barangays do they have?",
"how many are in morong and rodriguez?"
] | 1 | 8, 11 | [
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] | how many are in morong and rodriguez? | [
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
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"2,214.12"
],
[
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"383.95"
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[
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"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cai... | [
"8",
"11"
] | how many are in morong and rodriguez? || how many barangays do they have? | which cities are in rizal? |
nt-12031 | col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta... | table_csv/204_987.csv | 3 | {
"column_index": [
0
],
"row_index": [
11
]
} | [
"which cities are in rizal?",
"how many barangays do they have?",
"how many are in morong and rodriguez?",
"combine those and it equals the amount of barangays in which city?"
] | 1 | tanay | [
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] | combine those and it equals the amount of barangays in which city? | [
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cai... | [
"Tanay"
] | combine those and it equals the amount of barangays in which city? || how many are in morong and rodriguez? | how many barangays do they have? | which cities are in rizal? |
nt-12031 | col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta... | table_csv/204_987.csv | 0 | {
"column_index": [
3
],
"row_index": [
0
]
} | [
"in 2010 angono had a population of?"
] | 2 | 102,407 | [
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] | in 2010 angono had a population of? | [
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
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"306.1",
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"2,214.12"
],
[
"Baras",
"10",
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"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cai... | [
"102,407"
] | in 2010 angono had a population of? || |
nt-12031 | col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta... | table_csv/204_987.csv | 1 | {
"column_index": [
1
],
"row_index": [
5
]
} | [
"in 2010 angono had a population of?",
"cardona had how many barangays?"
] | 2 | 18 | [
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] | cardona had how many barangays? | [
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cai... | [
"18"
] | cardona had how many barangays? || in 2010 angono had a population of? |
nt-12031 | col : city/municipality | no. of barangays | area (km2) | population (2010 census) | pop. density (per km2) row 1 : angono | 10 | 26.22 | 102,407 | 3,905.68 row 2 : antipolo | 16 | 306.1 | 677,741 | 2,214.12 row 3 : baras | 10 | 84.93 | 32,609 | 383.95 row 4 : binangonan | 40 | 66.34 | 249,872 | 3,766.54 row 5 : cainta... | table_csv/204_987.csv | 2 | {
"column_index": [
0
],
"row_index": [
11
]
} | [
"in 2010 angono had a population of?",
"cardona had how many barangays?",
"morong and rodriguez barangays equal what other municipality?"
] | 2 | tanay | [
"City/Municipality",
"No. of Barangays",
"Area (km2)",
"Population (2010 Census)",
"Pop. density (per km2)"
] | morong and rodriguez barangays equal what other municipality? | [
[
"Angono",
"10",
"26.22",
"102,407",
"3,905.68"
],
[
"Antipolo",
"16",
"306.1",
"677,741",
"2,214.12"
],
[
"Baras",
"10",
"84.93",
"32,609",
"383.95"
],
[
"Binangonan",
"40",
"66.34",
"249,872",
"3,766.54"
],
[
"Cai... | [
"Tanay"
] | morong and rodriguez barangays equal what other municipality? || cardona had how many barangays? | in 2010 angono had a population of? |
nt-8674 | col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2... | table_csv/203_678.csv | 0 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"which wrestler has 4 number of regions in the iwgp heavyweight championship?"
] | 0 | keiji mutoh | [
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] | which wrestler has 4 number of regions in the iwgp heavyweight championship? | [
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
"2",
"Hiroshi Tanahashi",
"6",
"27",
"1,237"
],
[
"3",
"Shinya Hashimoto",
"3",
"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki... | [
"Keiji Mutoh"
] | which wrestler has 4 number of regions in the iwgp heavyweight championship? || |
nt-8674 | col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2... | table_csv/203_678.csv | 1 | {
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} | [
"which wrestler has 4 number of regions in the iwgp heavyweight championship?",
"which wrestler has 6 number of regions?"
] | 0 | hiroshi tanahashi | [
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] | which wrestler has 6 number of regions? | [
[
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"Keiji Mutoh",
"4",
"19",
"1,238"
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[
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"Hiroshi Tanahashi",
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"1,237"
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[
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"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki... | [
"Hiroshi Tanahashi"
] | which wrestler has 6 number of regions? || which wrestler has 4 number of regions in the iwgp heavyweight championship? |
nt-8674 | col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2... | table_csv/203_678.csv | 2 | {
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} | [
"which wrestler has 4 number of regions in the iwgp heavyweight championship?",
"which wrestler has 6 number of regions?",
"which wrestler has five number of regions?"
] | 0 | kensuke sasaki | [
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] | which wrestler has five number of regions? | [
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
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[
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"27",
"1,237"
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[
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"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki... | [
"Kensuke Sasaki"
] | which wrestler has five number of regions? || which wrestler has 6 number of regions? | which wrestler has 4 number of regions in the iwgp heavyweight championship? |
nt-8674 | col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2... | table_csv/203_678.csv | 0 | {
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"who are the wrestlers at the iwgp heavyweight championship?"
] | 1 | keiji mutoh, hiroshi tanahashi, shinya hashimoto, tatsumi fujinami, kensuke sasaki, yuji nagata, kazuchika okada+, kazuyuki fujita, big van vader, shinsuke nakamura, riki choshu, antonio inoki, brock lesnar, hiroyoshi tenzan, yoshihiro takayama, satoshi kojima, togi makabe, scott norton, nobuhiko takada, bob sapp, salm... | [
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] | who are the wrestlers at the iwgp heavyweight championship? | [
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[
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"Kensuke Sasaki... | [
"Keiji Mutoh",
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"Kensuke Sasaki",
"Yuji Nagata",
"Kazuchika Okada+",
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"Shinsuke Nakamura",
"Riki Choshu",
"Antonio Inoki",
"Brock Lesnar",
"Hiroyoshi Tenzan",
"Yoshihiro Takayama",
"Satoshi K... | who are the wrestlers at the iwgp heavyweight championship? || |
nt-8674 | col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2... | table_csv/203_678.csv | 1 | {
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]
} | [
"who are the wrestlers at the iwgp heavyweight championship?",
"which wrestler has 5 number of reigns?"
] | 1 | kensuke sasaki | [
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] | which wrestler has 5 number of reigns? | [
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
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[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki... | [
"Kensuke Sasaki"
] | which wrestler has 5 number of reigns? || who are the wrestlers at the iwgp heavyweight championship? |
nt-8674 | col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2... | table_csv/203_678.csv | 0 | {
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"which iwgp heavyweight championship are listed?"
] | 2 | keiji mutoh, hiroshi tanahashi, shinya hashimoto, tatsumi fujinami, kensuke sasaki, yuji nagata, kazuchika okada+, kazuyuki fujita, big van vader, shinsuke nakamura, riki choshu, antonio inoki, brock lesnar, hiroyoshi tenzan, yoshihiro takayama, satoshi kojima, togi makabe, scott norton, nobuhiko takada, bob sapp, salm... | [
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] | which iwgp heavyweight championship are listed? | [
[
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"Keiji Mutoh",
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"19",
"1,238"
],
[
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[
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"1,052"
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[
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"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki... | [
"Keiji Mutoh",
"Hiroshi Tanahashi",
"Shinya Hashimoto",
"Tatsumi Fujinami",
"Kensuke Sasaki",
"Yuji Nagata",
"Kazuchika Okada+",
"Kazuyuki Fujita",
"Big Van Vader",
"Shinsuke Nakamura",
"Riki Choshu",
"Antonio Inoki",
"Brock Lesnar",
"Hiroyoshi Tenzan",
"Yoshihiro Takayama",
"Satoshi K... | which iwgp heavyweight championship are listed? || |
nt-8674 | col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2... | table_csv/203_678.csv | 1 | {
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} | [
"which iwgp heavyweight championship are listed?",
"of those, who are the top five wrestlers?"
] | 2 | keiji mutoh, hiroshi tanahashi, shinya hashimoto, tatsumi fujinami, kensuke sasaki | [
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] | of those, who are the top five wrestlers? | [
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
"2",
"Hiroshi Tanahashi",
"6",
"27",
"1,237"
],
[
"3",
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"3",
"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki... | [
"Keiji Mutoh",
"Hiroshi Tanahashi",
"Shinya Hashimoto",
"Tatsumi Fujinami",
"Kensuke Sasaki"
] | of those, who are the top five wrestlers? || which iwgp heavyweight championship are listed? |
nt-8674 | col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | keiji mutoh | 4 | 19 | 1,238 row 2 : 2 | hiroshi tanahashi | 6 | 27 | 1,237 row 3 : 3 | shinya hashimoto | 3 | 20 | 1,052 row 4 : 4 | tatsumi fujinami | 6 | 13 | 785 row 5 : 5 | kensuke sasaki | 5 | 9 | 647 row 6 : 6 | yuji nagata | 2... | table_csv/203_678.csv | 2 | {
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],
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]
} | [
"which iwgp heavyweight championship are listed?",
"of those, who are the top five wrestlers?",
"of those, who has exactly 5 reigns?"
] | 2 | kensuke sasaki | [
"Rank",
"Wrestler",
"No. of reigns",
"Combined defenses",
"Combined days"
] | of those, who has exactly 5 reigns? | [
[
"1",
"Keiji Mutoh",
"4",
"19",
"1,238"
],
[
"2",
"Hiroshi Tanahashi",
"6",
"27",
"1,237"
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[
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"20",
"1,052"
],
[
"4",
"Tatsumi Fujinami",
"6",
"13",
"785"
],
[
"5",
"Kensuke Sasaki... | [
"Kensuke Sasaki"
] | of those, who has exactly 5 reigns? || of those, who are the top five wrestlers? | which iwgp heavyweight championship are listed? |
nt-5636 | 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 countries won silver medals?"
] | 0 | netherlands, italy, belgium, spain, great britain, germany, greece, russia | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what countries won silver medals? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Netherlands",
"Italy",
"Belgium",
"Spain",
"Great Britain",
"Germany",
"Greece",
"Russia"
] | what countries won silver medals? || |
nt-5636 | 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
],
"row_index": [
0
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} | [
"what countries won silver medals?",
"of those countries, what country won the second most amount of silver medals?"
] | 0 | netherlands | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of those countries, what country won the second most amount of silver medals? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
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"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Netherlands"
] | of those countries, what country won the second most amount of silver medals? || what countries won silver medals? |
nt-5636 | 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 have received silver medals?"
] | 1 | netherlands, italy, belgium, spain, great britain, germany, greece, russia | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which nations have received silver medals? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Netherlands",
"Italy",
"Belgium",
"Spain",
"Great Britain",
"Germany",
"Greece",
"Russia"
] | which nations have received silver medals? || |
nt-5636 | 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 | {
"column_index": [
1,
1
],
"row_index": [
0,
1
]
} | [
"which nations have received silver medals?",
"of these nations, which nations have more than five silver medals?"
] | 1 | netherlands, italy | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of these nations, which nations have more than five silver medals? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Netherlands",
"Italy"
] | of these nations, which nations have more than five silver medals? || which nations have received silver medals? |
nt-5636 | 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 | {
"column_index": [
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],
"row_index": [
0
]
} | [
"which nations have received silver medals?",
"of these nations, which nations have more than five silver medals?",
"which of these two nations has less silver medals?"
] | 1 | netherlands | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which of these two nations has less silver medals? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Netherlands"
] | which of these two nations has less silver medals? || of these nations, which nations have more than five silver medals? | which nations have received silver medals? |
nt-5636 | 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 | {
"column_index": [
3
],
"row_index": [
1
]
} | [
"what is the most amount of silver medals received by a team?"
] | 2 | 15 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what is the most amount of silver medals received by a team? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
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"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"15"
] | what is the most amount of silver medals received by a team? || |
nt-5636 | 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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3
],
"row_index": [
0
]
} | [
"what is the most amount of silver medals received by a team?",
"what is the second most silver medals to be received by a team?"
] | 2 | 9 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what is the second most silver medals to be received by a team? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"9"
] | what is the second most silver medals to be received by a team? || what is the most amount of silver medals received by a team? |
nt-5636 | 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 | {
"column_index": [
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"row_index": [
0
]
} | [
"what is the most amount of silver medals received by a team?",
"what is the second most silver medals to be received by a team?",
"which country received 9 silver medals?"
] | 2 | netherlands | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which country received 9 silver medals? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"... | [
"Netherlands"
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nt-13031 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 0 | {
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nt-13031 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 1 | {
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nt-13031 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 1 | {
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nt-13031 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 0 | {
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nt-13031 | col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-- row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ... | table_csv/203_283.csv | 1 | {
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nt-3880 | col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row ... | table_csv/204_64.csv | 0 | {
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nt-3880 | col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row ... | table_csv/204_64.csv | 1 | {
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nt-3880 | col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row ... | table_csv/204_64.csv | 2 | {
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nt-3880 | col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row ... | table_csv/204_64.csv | 1 | {
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nt-3880 | col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row ... | table_csv/204_64.csv | 2 | {
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"what are all of the places?",
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"what are all the places in the masilonyana local municipality?"
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"Star Diamond Mine",
"Theunissen",
"Tshepong",
"Verkeerdevlei",
"Winburg",
"Remainder of the municipality"
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nt-3880 | col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row ... | table_csv/204_64.csv | 1 | {
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"what are all the places in the masilonyana local municipality?",
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"what are all the places in the masilonyana local municipality?",
"which place have afrikaans as most spoken language?",
"what are their areas in km2?"
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nt-3880 | col : place | code | area (km2) | population | most spoken language row 1 : beatrix mine | 40701 | 0.17 | 2,492 | sotho row 2 : boipatong | 40702 | 0.31 | 1,501 | sotho row 3 : brandfort | 40703 | 3.20 | 1,516 | afrikaans row 4 : fora | 40704 | 0.05 | 530 | sotho row 5 : ikgomotseng | 40705 | 1.07 | 2,254 | tswana row ... | table_csv/204_64.csv | 3 | {
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"what were the air dates for oprah's big give for 2008?"
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nt-3882 | col : model | release date | sensor res., size | lens (35 mm equiv.) zoom, aperture | screen size, pixels | dimensions w (mm) x h (mm) x d (mm) | weight | features row 1 : s01 | aug 22, 2012 | 10.1 mp 3648x2736 1/2.9 in | 29-87 mm (3x) f/3.3-5.9 | 2.5 in 230 kpixel | 77 x 51.2 x 17.2 | 96 g (w/batt.) | ccd sensor, 2.5 ... | table_csv/204_878.csv | 1 | {
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nt-3882 | col : model | release date | sensor res., size | lens (35 mm equiv.) zoom, aperture | screen size, pixels | dimensions w (mm) x h (mm) x d (mm) | weight | features row 1 : s01 | aug 22, 2012 | 10.1 mp 3648x2736 1/2.9 in | 29-87 mm (3x) f/3.3-5.9 | 2.5 in 230 kpixel | 77 x 51.2 x 17.2 | 96 g (w/batt.) | ccd sensor, 2.5 ... | table_csv/204_878.csv | 2 | {
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"10.1 MP 3648x2736 1/3 in",
"29.1-87.... | [
"S9300"
] | which of these weighed at least 210 g? || which of these had a screen size of three inches? | what are all the models? |
nt-9494 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 |... | table_csv/204_311.csv | 0 | {
"column_index": [
5
],
"row_index": [
7
]
} | [
"how many medals did mexico have?"
] | 0 | 3 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | how many medals did mexico have? | [
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
... | [
"3"
] | how many medals did mexico have? || |
nt-9494 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 |... | table_csv/204_311.csv | 1 | {
"column_index": [
5
],
"row_index": [
4
]
} | [
"how many medals did mexico have?",
"how many medals did turkey have?"
] | 0 | 4 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | how many medals did turkey have? | [
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
... | [
"4"
] | how many medals did turkey have? || how many medals did mexico have? |
nt-9494 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 |... | table_csv/204_311.csv | 2 | {
"column_index": [
1,
1,
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1
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"row_index": [
0,
1,
2,
3
]
} | [
"how many medals did mexico have?",
"how many medals did turkey have?",
"which nations have more than the combination of mexico and turkey?"
] | 0 | south korea, chinese taipei, spain, united states | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which nations have more than the combination of mexico and turkey? | [
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
... | [
"South Korea",
"Chinese Taipei",
"Spain",
"United States"
] | which nations have more than the combination of mexico and turkey? || how many medals did turkey have? | how many medals did mexico have? |
nt-9494 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 |... | table_csv/204_311.csv | 3 | {
"column_index": [
1
],
"row_index": [
1
]
} | [
"how many medals did mexico have?",
"how many medals did turkey have?",
"which nations have more than the combination of mexico and turkey?",
"which nation is the closest to the amount both mexico and turkey have together?"
] | 0 | chinese taipei | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which nation is the closest to the amount both mexico and turkey have together? | [
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
... | [
"Chinese Taipei"
] | which nation is the closest to the amount both mexico and turkey have together? || which nations have more than the combination of mexico and turkey? | how many medals did turkey have? | how many medals did mexico have? |
nt-9494 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 |... | table_csv/204_311.csv | 0 | {
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1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6
]
} | [
"what nations won gold medals in the 1987 world taekwondo championships?"
] | 1 | south korea, chinese taipei, spain, united states, turkey, west germany, netherlands | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what nations won gold medals in the 1987 world taekwondo championships? | [
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
... | [
"South Korea",
"Chinese Taipei",
"Spain",
"United States",
"Turkey",
"West Germany",
"Netherlands"
] | what nations won gold medals in the 1987 world taekwondo championships? || |
nt-9494 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 |... | table_csv/204_311.csv | 1 | {
"column_index": [
1,
1,
1,
1,
1
],
"row_index": [
1,
2,
3,
4,
5
]
} | [
"what nations won gold medals in the 1987 world taekwondo championships?",
"which of these won more than 1 bronze?"
] | 1 | chinese taipei, spain, united states, turkey, west germany | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which of these won more than 1 bronze? | [
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
... | [
"Chinese Taipei",
"Spain",
"United States",
"Turkey",
"West Germany"
] | which of these won more than 1 bronze? || what nations won gold medals in the 1987 world taekwondo championships? |
nt-9494 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 |... | table_csv/204_311.csv | 2 | {
"column_index": [
1,
1,
1
],
"row_index": [
1,
4,
5
]
} | [
"what nations won gold medals in the 1987 world taekwondo championships?",
"which of these won more than 1 bronze?",
"which of those nations won less then 10 medals total?"
] | 1 | chinese taipei, turkey, west germany | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which of those nations won less then 10 medals total? | [
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
... | [
"Chinese Taipei",
"Turkey",
"West Germany"
] | which of those nations won less then 10 medals total? || which of these won more than 1 bronze? | what nations won gold medals in the 1987 world taekwondo championships? |
nt-9494 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 |... | table_csv/204_311.csv | 3 | {
"column_index": [
1,
1
],
"row_index": [
1,
5
]
} | [
"what nations won gold medals in the 1987 world taekwondo championships?",
"which of these won more than 1 bronze?",
"which of those nations won less then 10 medals total?",
"of these which ones tied for the number of bronze?"
] | 1 | chinese taipei, west germany | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | of these which ones tied for the number of bronze? | [
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
... | [
"Chinese Taipei",
"West Germany"
] | of these which ones tied for the number of bronze? || which of those nations won less then 10 medals total? | which of these won more than 1 bronze? | what nations won gold medals in the 1987 world taekwondo championships? |
nt-9494 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 |... | table_csv/204_311.csv | 4 | {
"column_index": [
1
],
"row_index": [
1
]
} | [
"what nations won gold medals in the 1987 world taekwondo championships?",
"which of these won more than 1 bronze?",
"which of those nations won less then 10 medals total?",
"of these which ones tied for the number of bronze?",
"which of these won silver medals?"
] | 1 | chinese taipei | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | which of these won silver medals? | [
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
... | [
"Chinese Taipei"
] | which of these won silver medals? || of these which ones tied for the number of bronze? | which of those nations won less then 10 medals total? | which of these won more than 1 bronze? | what nations won gold medals in the 1987 world taekwondo championships? |
nt-9494 | col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 |... | table_csv/204_311.csv | 0 | {
"column_index": [
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9,
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11,
12,
13,
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15,
16,
17
]
... | [
"what were the nations that were in the 1987 world taekwondo championships?"
] | 2 | 1, south korea, chinese taipei, spain, united states, turkey, west germany, netherlands, mexico, indonesia, france, australia, canada, ivory coast, denmark, italy, jordan, nepal, switzerland | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
] | what were the nations that were in the 1987 world taekwondo championships? | [
[
"1",
"South Korea",
"9",
"2",
"1",
"12"
],
[
"2",
"Chinese Taipei",
"2",
"3",
"3",
"8"
],
[
"3",
"Spain",
"1",
"5",
"4",
"10"
],
[
"4",
"United States",
"1",
"2",
"7",
"10"
],
[
"5",
"Turkey",
... | [
"1",
"South Korea",
"Chinese Taipei",
"Spain",
"United States",
"Turkey",
"West Germany",
"Netherlands",
"Mexico",
"Indonesia",
"France",
"Australia",
"Canada",
"Ivory Coast",
"Denmark",
"Italy",
"Jordan",
"Nepal",
"Switzerland"
] | what were the nations that were in the 1987 world taekwondo championships? || |
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