id
stringlengths 4
8
| struct_in
stringlengths 301
4.09k
| table_file
stringlengths 19
21
| position
int64 0
7
| answer_coordinates
dict | question_and_history
list | annotator
int64 0
2
| seq_out
stringlengths 1
1.73k
| table_header
list | question
stringlengths 10
291
| table_data
list | answer_text
list | text_in
stringlengths 19
565
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 2006 | similar to the previous but longer. row 3 : axwell remix | 7:24 | -- | axwell | 2006 | used in a scene in the 2008 movie 21. row 4 : enzo mori & stephan clark remix | 7:10 | -- | enzo mori and stephan clark | 2006 | nan row 5 : mhc club remix | 7:31 | -- | mhc aka philip larsen and chis smith | 2006 | nan row 6 : zloot remix | 4:36 | -- | toni toolz | 2006 | nan row 7 : music video | 3:58 | -- | -- | 2006 | nan | table_csv/203_289.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6
]
} | [
"how many versions are there?"
]
| 2 | single version / radio edit, extended remix, axwell remix, enzo mori & stephan clark remix, mhc club remix, zloot remix, music video | [
"Version",
"Length",
"Album",
"Remixed by",
"Year",
"Comment"
]
| how many versions are there? | [
[
"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"
],
[
"Extended Remix",
"6:48",
"--",
"MHC aka Philip Larsen and Chis Smith",
"2006",
"Similar to the previous but longer."
],
[
"Axwell Remix",
"7:24",
"--",
"Axwell",
"2006",
"Used in a scene in the 2008 movie 21."
],
[
"Enzo Mori & Stephan Clark Remix",
"7:10",
"--",
"Enzo Mori and Stephan Clark",
"2006",
"nan"
],
[
"MHC club Remix",
"7:31",
"--",
"MHC aka Philip Larsen and Chis Smith",
"2006",
"nan"
],
[
"Zloot Remix",
"4:36",
"--",
"Toni Toolz",
"2006",
"nan"
],
[
"Music Video",
"3:58",
"--",
"--",
"2006",
"nan"
]
]
| [
"Single Version / Radio Edit",
"Extended Remix",
"Axwell Remix",
"Enzo Mori & Stephan Clark Remix",
"MHC club Remix",
"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 | 2006 | similar to the previous but longer. row 3 : axwell remix | 7:24 | -- | axwell | 2006 | used in a scene in the 2008 movie 21. row 4 : enzo mori & stephan clark remix | 7:10 | -- | enzo mori and stephan clark | 2006 | nan row 5 : mhc club remix | 7:31 | -- | mhc aka philip larsen and chis smith | 2006 | nan row 6 : zloot remix | 4:36 | -- | toni toolz | 2006 | nan row 7 : music video | 3:58 | -- | -- | 2006 | nan | table_csv/203_289.csv | 1 | {
"column_index": [
0
],
"row_index": [
2
]
} | [
"how many versions are there?",
"which of those appeared in a movie scene?"
]
| 2 | axwell remix | [
"Version",
"Length",
"Album",
"Remixed by",
"Year",
"Comment"
]
| which of those appeared in a movie scene? | [
[
"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"
],
[
"Extended Remix",
"6:48",
"--",
"MHC aka Philip Larsen and Chis Smith",
"2006",
"Similar to the previous but longer."
],
[
"Axwell Remix",
"7:24",
"--",
"Axwell",
"2006",
"Used in a scene in the 2008 movie 21."
],
[
"Enzo Mori & Stephan Clark Remix",
"7:10",
"--",
"Enzo Mori and Stephan Clark",
"2006",
"nan"
],
[
"MHC club Remix",
"7:31",
"--",
"MHC aka Philip Larsen and Chis Smith",
"2006",
"nan"
],
[
"Zloot Remix",
"4:36",
"--",
"Toni Toolz",
"2006",
"nan"
],
[
"Music Video",
"3:58",
"--",
"--",
"2006",
"nan"
]
]
| [
"Axwell Remix"
]
| which of those appeared in a movie scene? || how many versions are there? |
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 : 4 | 100 | rhett rakhshani | right wing | united states | university of denver(ncaa) /us national team development program ( row 5 : 4 | 108 | jase weslosky | goalie | canada | sherwood park crusaders (ajhl) row 6 : 4 | 115 | tomas marcinko | center | slovakia | hc kosice (slovak extraliga) row 7 : 4 | 119 | doug rogers | center | united states | saint sebastian's school (independent school league) row 8 : 5 | 141 | kim johansson | wing | sweden | malmo jr. row 9 : 6 | 160 | andrew macdonald | defenceman | canada | moncton wildcats (qmjhl) row 10 : 6 | 171 | brian day | right wing | united states | governor dummer (independent school league) row 11 : 6 | 173 | stefan ridderwall | goalie | sweden | djurgarden jr. (j20) row 12 : 7 | 190 | troy mattila | left wing | united states | springfield jr. blues (nahl) | table_csv/204_140.csv | 0 | {
"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
]
} | [
"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 | [
"Round",
"#",
"Player",
"Position",
"Nationality",
"College/Junior/Club Team (League)"
]
| what are the nationalities of the players? | [
[
"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)"
],
[
"4",
"100",
"Rhett Rakhshani",
"Right Wing",
"United States",
"University of Denver(NCAA) /US National Team Development Program ("
],
[
"4",
"108",
"Jase Weslosky",
"Goalie",
"Canada",
"Sherwood Park Crusaders (AJHL)"
],
[
"4",
"115",
"Tomas Marcinko",
"Center",
"Slovakia",
"HC Kosice (Slovak Extraliga)"
],
[
"4",
"119",
"Doug Rogers",
"Center",
"United States",
"Saint Sebastian's School (Independent School League)"
],
[
"5",
"141",
"Kim Johansson",
"Wing",
"Sweden",
"Malmo Jr."
],
[
"6",
"160",
"Andrew MacDonald",
"Defenceman",
"Canada",
"Moncton Wildcats (QMJHL)"
],
[
"6",
"171",
"Brian Day",
"Right Wing",
"United States",
"Governor Dummer (Independent School League)"
],
[
"6",
"173",
"Stefan Ridderwall",
"Goalie",
"Sweden",
"Djurgarden Jr. (J20)"
],
[
"7",
"190",
"Troy Mattila",
"Left Wing",
"United States",
"Springfield Jr. Blues (NAHL)"
]
]
| [
"United States",
"Finland",
"Sweden",
"United States",
"Canada",
"Slovakia",
"United States",
"Sweden",
"Canada",
"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 : 4 | 100 | rhett rakhshani | right wing | united states | university of denver(ncaa) /us national team development program ( row 5 : 4 | 108 | jase weslosky | goalie | canada | sherwood park crusaders (ajhl) row 6 : 4 | 115 | tomas marcinko | center | slovakia | hc kosice (slovak extraliga) row 7 : 4 | 119 | doug rogers | center | united states | saint sebastian's school (independent school league) row 8 : 5 | 141 | kim johansson | wing | sweden | malmo jr. row 9 : 6 | 160 | andrew macdonald | defenceman | canada | moncton wildcats (qmjhl) row 10 : 6 | 171 | brian day | right wing | united states | governor dummer (independent school league) row 11 : 6 | 173 | stefan ridderwall | goalie | sweden | djurgarden jr. (j20) row 12 : 7 | 190 | troy mattila | left wing | united states | springfield jr. blues (nahl) | table_csv/204_140.csv | 1 | {
"column_index": [
2,
4,
2,
4,
2,
4,
2,
4,
2,
4
],
"row_index": [
0,
0,
3,
3,
6,
6,
9,
9,
11,
11
]
} | [
"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 | [
"Round",
"#",
"Player",
"Position",
"Nationality",
"College/Junior/Club Team (League)"
]
| which of these are from the us? | [
[
"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)"
],
[
"4",
"100",
"Rhett Rakhshani",
"Right Wing",
"United States",
"University of Denver(NCAA) /US National Team Development Program ("
],
[
"4",
"108",
"Jase Weslosky",
"Goalie",
"Canada",
"Sherwood Park Crusaders (AJHL)"
],
[
"4",
"115",
"Tomas Marcinko",
"Center",
"Slovakia",
"HC Kosice (Slovak Extraliga)"
],
[
"4",
"119",
"Doug Rogers",
"Center",
"United States",
"Saint Sebastian's School (Independent School League)"
],
[
"5",
"141",
"Kim Johansson",
"Wing",
"Sweden",
"Malmo Jr."
],
[
"6",
"160",
"Andrew MacDonald",
"Defenceman",
"Canada",
"Moncton Wildcats (QMJHL)"
],
[
"6",
"171",
"Brian Day",
"Right Wing",
"United States",
"Governor Dummer (Independent School League)"
],
[
"6",
"173",
"Stefan Ridderwall",
"Goalie",
"Sweden",
"Djurgarden Jr. (J20)"
],
[
"7",
"190",
"Troy Mattila",
"Left Wing",
"United States",
"Springfield Jr. Blues (NAHL)"
]
]
| [
"Kyle Okposo",
"United States",
"Rhett Rakhshani",
"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 : 4 | 100 | rhett rakhshani | right wing | united states | university of denver(ncaa) /us national team development program ( row 5 : 4 | 108 | jase weslosky | goalie | canada | sherwood park crusaders (ajhl) row 6 : 4 | 115 | tomas marcinko | center | slovakia | hc kosice (slovak extraliga) row 7 : 4 | 119 | doug rogers | center | united states | saint sebastian's school (independent school league) row 8 : 5 | 141 | kim johansson | wing | sweden | malmo jr. row 9 : 6 | 160 | andrew macdonald | defenceman | canada | moncton wildcats (qmjhl) row 10 : 6 | 171 | brian day | right wing | united states | governor dummer (independent school league) row 11 : 6 | 173 | stefan ridderwall | goalie | sweden | djurgarden jr. (j20) row 12 : 7 | 190 | troy mattila | left wing | united states | springfield jr. blues (nahl) | table_csv/204_140.csv | 2 | {
"column_index": [
2
],
"row_index": [
11
]
} | [
"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 | [
"Round",
"#",
"Player",
"Position",
"Nationality",
"College/Junior/Club Team (League)"
]
| of these american players, which played on the springfield jr. blues? | [
[
"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)"
],
[
"4",
"100",
"Rhett Rakhshani",
"Right Wing",
"United States",
"University of Denver(NCAA) /US National Team Development Program ("
],
[
"4",
"108",
"Jase Weslosky",
"Goalie",
"Canada",
"Sherwood Park Crusaders (AJHL)"
],
[
"4",
"115",
"Tomas Marcinko",
"Center",
"Slovakia",
"HC Kosice (Slovak Extraliga)"
],
[
"4",
"119",
"Doug Rogers",
"Center",
"United States",
"Saint Sebastian's School (Independent School League)"
],
[
"5",
"141",
"Kim Johansson",
"Wing",
"Sweden",
"Malmo Jr."
],
[
"6",
"160",
"Andrew MacDonald",
"Defenceman",
"Canada",
"Moncton Wildcats (QMJHL)"
],
[
"6",
"171",
"Brian Day",
"Right Wing",
"United States",
"Governor Dummer (Independent School League)"
],
[
"6",
"173",
"Stefan Ridderwall",
"Goalie",
"Sweden",
"Djurgarden Jr. (J20)"
],
[
"7",
"190",
"Troy Mattila",
"Left Wing",
"United States",
"Springfield Jr. Blues (NAHL)"
]
]
| [
"Troy Mattila"
]
| 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 : 4 | 100 | rhett rakhshani | right wing | united states | university of denver(ncaa) /us national team development program ( row 5 : 4 | 108 | jase weslosky | goalie | canada | sherwood park crusaders (ajhl) row 6 : 4 | 115 | tomas marcinko | center | slovakia | hc kosice (slovak extraliga) row 7 : 4 | 119 | doug rogers | center | united states | saint sebastian's school (independent school league) row 8 : 5 | 141 | kim johansson | wing | sweden | malmo jr. row 9 : 6 | 160 | andrew macdonald | defenceman | canada | moncton wildcats (qmjhl) row 10 : 6 | 171 | brian day | right wing | united states | governor dummer (independent school league) row 11 : 6 | 173 | stefan ridderwall | goalie | sweden | djurgarden jr. (j20) row 12 : 7 | 190 | troy mattila | left wing | united states | springfield jr. blues (nahl) | table_csv/204_140.csv | 0 | {
"column_index": [
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11
]
} | [
"who 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)"
],
[
"2",
"60",
"Jesse Joensuu",
"Wing",
"Finland",
"Assat (SM-liiga)"
],
[
"3",
"70",
"Robin Figren",
"Wing",
"Sweden",
"Frolunda HC (Elitserien)"
],
[
"4",
"100",
"Rhett Rakhshani",
"Right Wing",
"United States",
"University of Denver(NCAA) /US National Team Development Program ("
],
[
"4",
"108",
"Jase Weslosky",
"Goalie",
"Canada",
"Sherwood Park Crusaders (AJHL)"
],
[
"4",
"115",
"Tomas Marcinko",
"Center",
"Slovakia",
"HC Kosice (Slovak Extraliga)"
],
[
"4",
"119",
"Doug Rogers",
"Center",
"United States",
"Saint Sebastian's School (Independent School League)"
],
[
"5",
"141",
"Kim Johansson",
"Wing",
"Sweden",
"Malmo Jr."
],
[
"6",
"160",
"Andrew MacDonald",
"Defenceman",
"Canada",
"Moncton Wildcats (QMJHL)"
],
[
"6",
"171",
"Brian Day",
"Right Wing",
"United States",
"Governor Dummer (Independent School League)"
],
[
"6",
"173",
"Stefan Ridderwall",
"Goalie",
"Sweden",
"Djurgarden Jr. (J20)"
],
[
"7",
"190",
"Troy Mattila",
"Left Wing",
"United States",
"Springfield Jr. Blues (NAHL)"
]
]
| [
"Kyle Okposo",
"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 : 4 | 100 | rhett rakhshani | right wing | united states | university of denver(ncaa) /us national team development program ( row 5 : 4 | 108 | jase weslosky | goalie | canada | sherwood park crusaders (ajhl) row 6 : 4 | 115 | tomas marcinko | center | slovakia | hc kosice (slovak extraliga) row 7 : 4 | 119 | doug rogers | center | united states | saint sebastian's school (independent school league) row 8 : 5 | 141 | kim johansson | wing | sweden | malmo jr. row 9 : 6 | 160 | andrew macdonald | defenceman | canada | moncton wildcats (qmjhl) row 10 : 6 | 171 | brian day | right wing | united states | governor dummer (independent school league) row 11 : 6 | 173 | stefan ridderwall | goalie | sweden | djurgarden jr. (j20) row 12 : 7 | 190 | troy mattila | left wing | united states | springfield jr. blues (nahl) | table_csv/204_140.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
]
} | [
"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",
"Nationality",
"College/Junior/Club Team (League)"
]
| where are they from? | [
[
"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)"
],
[
"4",
"100",
"Rhett Rakhshani",
"Right Wing",
"United States",
"University of Denver(NCAA) /US National Team Development Program ("
],
[
"4",
"108",
"Jase Weslosky",
"Goalie",
"Canada",
"Sherwood Park Crusaders (AJHL)"
],
[
"4",
"115",
"Tomas Marcinko",
"Center",
"Slovakia",
"HC Kosice (Slovak Extraliga)"
],
[
"4",
"119",
"Doug Rogers",
"Center",
"United States",
"Saint Sebastian's School (Independent School League)"
],
[
"5",
"141",
"Kim Johansson",
"Wing",
"Sweden",
"Malmo Jr."
],
[
"6",
"160",
"Andrew MacDonald",
"Defenceman",
"Canada",
"Moncton Wildcats (QMJHL)"
],
[
"6",
"171",
"Brian Day",
"Right Wing",
"United States",
"Governor Dummer (Independent School League)"
],
[
"6",
"173",
"Stefan Ridderwall",
"Goalie",
"Sweden",
"Djurgarden Jr. (J20)"
],
[
"7",
"190",
"Troy Mattila",
"Left Wing",
"United States",
"Springfield Jr. Blues (NAHL)"
]
]
| [
"United States",
"Finland",
"Sweden",
"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 : 4 | 100 | rhett rakhshani | right wing | united states | university of denver(ncaa) /us national team development program ( row 5 : 4 | 108 | jase weslosky | goalie | canada | sherwood park crusaders (ajhl) row 6 : 4 | 115 | tomas marcinko | center | slovakia | hc kosice (slovak extraliga) row 7 : 4 | 119 | doug rogers | center | united states | saint sebastian's school (independent school league) row 8 : 5 | 141 | kim johansson | wing | sweden | malmo jr. row 9 : 6 | 160 | andrew macdonald | defenceman | canada | moncton wildcats (qmjhl) row 10 : 6 | 171 | brian day | right wing | united states | governor dummer (independent school league) row 11 : 6 | 173 | stefan ridderwall | goalie | sweden | djurgarden jr. (j20) row 12 : 7 | 190 | troy mattila | left wing | united states | springfield jr. blues (nahl) | table_csv/204_140.csv | 2 | {
"column_index": [
2,
2,
2,
2,
2
],
"row_index": [
0,
3,
6,
9,
11
]
} | [
"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? | [
[
"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)"
],
[
"4",
"100",
"Rhett Rakhshani",
"Right Wing",
"United States",
"University of Denver(NCAA) /US National Team Development Program ("
],
[
"4",
"108",
"Jase Weslosky",
"Goalie",
"Canada",
"Sherwood Park Crusaders (AJHL)"
],
[
"4",
"115",
"Tomas Marcinko",
"Center",
"Slovakia",
"HC Kosice (Slovak Extraliga)"
],
[
"4",
"119",
"Doug Rogers",
"Center",
"United States",
"Saint Sebastian's School (Independent School League)"
],
[
"5",
"141",
"Kim Johansson",
"Wing",
"Sweden",
"Malmo Jr."
],
[
"6",
"160",
"Andrew MacDonald",
"Defenceman",
"Canada",
"Moncton Wildcats (QMJHL)"
],
[
"6",
"171",
"Brian Day",
"Right Wing",
"United States",
"Governor Dummer (Independent School League)"
],
[
"6",
"173",
"Stefan Ridderwall",
"Goalie",
"Sweden",
"Djurgarden Jr. (J20)"
],
[
"7",
"190",
"Troy Mattila",
"Left Wing",
"United States",
"Springfield Jr. Blues (NAHL)"
]
]
| [
"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 : 4 | 100 | rhett rakhshani | right wing | united states | university of denver(ncaa) /us national team development program ( row 5 : 4 | 108 | jase weslosky | goalie | canada | sherwood park crusaders (ajhl) row 6 : 4 | 115 | tomas marcinko | center | slovakia | hc kosice (slovak extraliga) row 7 : 4 | 119 | doug rogers | center | united states | saint sebastian's school (independent school league) row 8 : 5 | 141 | kim johansson | wing | sweden | malmo jr. row 9 : 6 | 160 | andrew macdonald | defenceman | canada | moncton wildcats (qmjhl) row 10 : 6 | 171 | brian day | right wing | united states | governor dummer (independent school league) row 11 : 6 | 173 | stefan ridderwall | goalie | sweden | djurgarden jr. (j20) row 12 : 7 | 190 | troy mattila | left wing | united states | springfield jr. blues (nahl) | table_csv/204_140.csv | 3 | {
"column_index": [
2
],
"row_index": [
11
]
} | [
"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)? | [
[
"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)"
],
[
"4",
"100",
"Rhett Rakhshani",
"Right Wing",
"United States",
"University of Denver(NCAA) /US National Team Development Program ("
],
[
"4",
"108",
"Jase Weslosky",
"Goalie",
"Canada",
"Sherwood Park Crusaders (AJHL)"
],
[
"4",
"115",
"Tomas Marcinko",
"Center",
"Slovakia",
"HC Kosice (Slovak Extraliga)"
],
[
"4",
"119",
"Doug Rogers",
"Center",
"United States",
"Saint Sebastian's School (Independent School League)"
],
[
"5",
"141",
"Kim Johansson",
"Wing",
"Sweden",
"Malmo Jr."
],
[
"6",
"160",
"Andrew MacDonald",
"Defenceman",
"Canada",
"Moncton Wildcats (QMJHL)"
],
[
"6",
"171",
"Brian Day",
"Right Wing",
"United States",
"Governor Dummer (Independent School League)"
],
[
"6",
"173",
"Stefan Ridderwall",
"Goalie",
"Sweden",
"Djurgarden Jr. (J20)"
],
[
"7",
"190",
"Troy Mattila",
"Left Wing",
"United States",
"Springfield Jr. Blues (NAHL)"
]
]
| [
"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 : 4 | 100 | rhett rakhshani | right wing | united states | university of denver(ncaa) /us national team development program ( row 5 : 4 | 108 | jase weslosky | goalie | canada | sherwood park crusaders (ajhl) row 6 : 4 | 115 | tomas marcinko | center | slovakia | hc kosice (slovak extraliga) row 7 : 4 | 119 | doug rogers | center | united states | saint sebastian's school (independent school league) row 8 : 5 | 141 | kim johansson | wing | sweden | malmo jr. row 9 : 6 | 160 | andrew macdonald | defenceman | canada | moncton wildcats (qmjhl) row 10 : 6 | 171 | brian day | right wing | united states | governor dummer (independent school league) row 11 : 6 | 173 | stefan ridderwall | goalie | sweden | djurgarden jr. (j20) row 12 : 7 | 190 | troy mattila | left wing | united states | springfield jr. blues (nahl) | table_csv/204_140.csv | 0 | {
"column_index": [
2
],
"row_index": [
1
]
} | [
"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)"
],
[
"2",
"60",
"Jesse Joensuu",
"Wing",
"Finland",
"Assat (SM-liiga)"
],
[
"3",
"70",
"Robin Figren",
"Wing",
"Sweden",
"Frolunda HC (Elitserien)"
],
[
"4",
"100",
"Rhett Rakhshani",
"Right Wing",
"United States",
"University of Denver(NCAA) /US National Team Development Program ("
],
[
"4",
"108",
"Jase Weslosky",
"Goalie",
"Canada",
"Sherwood Park Crusaders (AJHL)"
],
[
"4",
"115",
"Tomas Marcinko",
"Center",
"Slovakia",
"HC Kosice (Slovak Extraliga)"
],
[
"4",
"119",
"Doug Rogers",
"Center",
"United States",
"Saint Sebastian's School (Independent School League)"
],
[
"5",
"141",
"Kim Johansson",
"Wing",
"Sweden",
"Malmo Jr."
],
[
"6",
"160",
"Andrew MacDonald",
"Defenceman",
"Canada",
"Moncton Wildcats (QMJHL)"
],
[
"6",
"171",
"Brian Day",
"Right Wing",
"United States",
"Governor Dummer (Independent School League)"
],
[
"6",
"173",
"Stefan Ridderwall",
"Goalie",
"Sweden",
"Djurgarden Jr. (J20)"
],
[
"7",
"190",
"Troy Mattila",
"Left Wing",
"United States",
"Springfield Jr. Blues (NAHL)"
]
]
| [
"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 : 4 | 100 | rhett rakhshani | right wing | united states | university of denver(ncaa) /us national team development program ( row 5 : 4 | 108 | jase weslosky | goalie | canada | sherwood park crusaders (ajhl) row 6 : 4 | 115 | tomas marcinko | center | slovakia | hc kosice (slovak extraliga) row 7 : 4 | 119 | doug rogers | center | united states | saint sebastian's school (independent school league) row 8 : 5 | 141 | kim johansson | wing | sweden | malmo jr. row 9 : 6 | 160 | andrew macdonald | defenceman | canada | moncton wildcats (qmjhl) row 10 : 6 | 171 | brian day | right wing | united states | governor dummer (independent school league) row 11 : 6 | 173 | stefan ridderwall | goalie | sweden | djurgarden jr. (j20) row 12 : 7 | 190 | troy mattila | left wing | united states | springfield jr. blues (nahl) | table_csv/204_140.csv | 1 | {
"column_index": [
2
],
"row_index": [
3
]
} | [
"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)"
],
[
"4",
"100",
"Rhett Rakhshani",
"Right Wing",
"United States",
"University of Denver(NCAA) /US National Team Development Program ("
],
[
"4",
"108",
"Jase Weslosky",
"Goalie",
"Canada",
"Sherwood Park Crusaders (AJHL)"
],
[
"4",
"115",
"Tomas Marcinko",
"Center",
"Slovakia",
"HC Kosice (Slovak Extraliga)"
],
[
"4",
"119",
"Doug Rogers",
"Center",
"United States",
"Saint Sebastian's School (Independent School League)"
],
[
"5",
"141",
"Kim Johansson",
"Wing",
"Sweden",
"Malmo Jr."
],
[
"6",
"160",
"Andrew MacDonald",
"Defenceman",
"Canada",
"Moncton Wildcats (QMJHL)"
],
[
"6",
"171",
"Brian Day",
"Right Wing",
"United States",
"Governor Dummer (Independent School League)"
],
[
"6",
"173",
"Stefan Ridderwall",
"Goalie",
"Sweden",
"Djurgarden Jr. (J20)"
],
[
"7",
"190",
"Troy Mattila",
"Left Wing",
"United States",
"Springfield Jr. Blues (NAHL)"
]
]
| [
"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 : 4 | 100 | rhett rakhshani | right wing | united states | university of denver(ncaa) /us national team development program ( row 5 : 4 | 108 | jase weslosky | goalie | canada | sherwood park crusaders (ajhl) row 6 : 4 | 115 | tomas marcinko | center | slovakia | hc kosice (slovak extraliga) row 7 : 4 | 119 | doug rogers | center | united states | saint sebastian's school (independent school league) row 8 : 5 | 141 | kim johansson | wing | sweden | malmo jr. row 9 : 6 | 160 | andrew macdonald | defenceman | canada | moncton wildcats (qmjhl) row 10 : 6 | 171 | brian day | right wing | united states | governor dummer (independent school league) row 11 : 6 | 173 | stefan ridderwall | goalie | sweden | djurgarden jr. (j20) row 12 : 7 | 190 | troy mattila | left wing | united states | springfield jr. blues (nahl) | table_csv/204_140.csv | 2 | {
"column_index": [
2
],
"row_index": [
11
]
} | [
"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? | [
[
"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)"
],
[
"4",
"100",
"Rhett Rakhshani",
"Right Wing",
"United States",
"University of Denver(NCAA) /US National Team Development Program ("
],
[
"4",
"108",
"Jase Weslosky",
"Goalie",
"Canada",
"Sherwood Park Crusaders (AJHL)"
],
[
"4",
"115",
"Tomas Marcinko",
"Center",
"Slovakia",
"HC Kosice (Slovak Extraliga)"
],
[
"4",
"119",
"Doug Rogers",
"Center",
"United States",
"Saint Sebastian's School (Independent School League)"
],
[
"5",
"141",
"Kim Johansson",
"Wing",
"Sweden",
"Malmo Jr."
],
[
"6",
"160",
"Andrew MacDonald",
"Defenceman",
"Canada",
"Moncton Wildcats (QMJHL)"
],
[
"6",
"171",
"Brian Day",
"Right Wing",
"United States",
"Governor Dummer (Independent School League)"
],
[
"6",
"173",
"Stefan Ridderwall",
"Goalie",
"Sweden",
"Djurgarden Jr. (J20)"
],
[
"7",
"190",
"Troy Mattila",
"Left Wing",
"United States",
"Springfield Jr. Blues (NAHL)"
]
]
| [
"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 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1 | table_csv/204_107.csv | 0 | {
"column_index": [
4
],
"row_index": [
3
]
} | [
"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? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
]
| [
"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 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1 | table_csv/204_107.csv | 1 | {
"column_index": [
1
],
"row_index": [
3
]
} | [
"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? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
]
| [
"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 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1 | table_csv/204_107.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
]
} | [
"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? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
]
| [
"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 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1 | table_csv/204_107.csv | 1 | {
"column_index": [
1,
1,
1,
1,
1,
1
],
"row_index": [
1,
2,
3,
5,
8,
9
]
} | [
"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? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
]
| [
"Italy",
"Belgium",
"Spain",
"Germany",
"Sweden",
"France"
]
| which nations earned bronze medals? || 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 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1 | table_csv/204_107.csv | 2 | {
"column_index": [
4,
4,
4,
4,
4,
4
],
"row_index": [
1,
2,
3,
5,
8,
9
]
} | [
"which nations participated in the european baseball championship?",
"which nations earned bronze medals?",
"what are the respective number of bronze medals they earned?"
]
| 1 | 3, 6, 13, 7, 2, 1 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
]
| what are the respective number of bronze medals they earned? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
]
| [
"3",
"6",
"13",
"7",
"2",
"1"
]
| what are the respective number of bronze medals they earned? || which nations earned bronze medals? | 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 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1 | table_csv/204_107.csv | 3 | {
"column_index": [
4
],
"row_index": [
3
]
} | [
"which nations participated in the european baseball championship?",
"which nations earned bronze medals?",
"what are the respective number of bronze medals they earned?",
"which ones are larger than 7"
]
| 1 | 13 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
]
| which ones are larger than 7 | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
]
| [
"13"
]
| which ones are larger than 7 || what are the respective number of bronze medals they earned? | which nations earned bronze medals? | 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 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1 | table_csv/204_107.csv | 4 | {
"column_index": [
1
],
"row_index": [
3
]
} | [
"which nations participated in the european baseball championship?",
"which nations earned bronze medals?",
"what are the respective number of bronze medals they earned?",
"which ones are larger than 7",
"which country earned 13 bronze medals?"
]
| 1 | spain | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
]
| which country earned 13 bronze medals? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
]
| [
"Spain"
]
| which country earned 13 bronze medals? || which ones are larger than 7 | what are the respective number of bronze medals they earned? | which nations earned bronze medals? | 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 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1 | table_csv/204_107.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
]
} | [
"what nations competed?"
]
| 2 | netherlands, italy, belgium, spain, great britain, germany, greece, russia, sweden, france | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
]
| what nations competed? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
]
| [
"Netherlands",
"Italy",
"Belgium",
"Spain",
"Great Britain",
"Germany",
"Greece",
"Russia",
"Sweden",
"France"
]
| 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 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1 | table_csv/204_107.csv | 1 | {
"column_index": [
1,
4,
1,
4,
1,
4,
1,
4,
1,
4,
1,
4,
1,
4,
1,
4,
1,
4,
1,
4
],
"row_index": [
0,
0,
1,
1,
2,
2,
3,
3,
4,
4,
5,
5,
6,
6,
7,
7,
8,
8,
9,
9
]
} | [
"what nations competed?",
"how many bronze did each nation earn?"
]
| 2 | netherlands, 0, italy, 3, belgium, 6, spain, 13, great britain, 0, germany, 7, greece, 0, russia, 0, sweden, 2, france, 1 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
]
| how many bronze did each nation earn? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
]
| [
"Netherlands",
"0",
"Italy",
"3",
"Belgium",
"6",
"Spain",
"13",
"Great Britain",
"0",
"Germany",
"7",
"Greece",
"0",
"Russia",
"0",
"Sweden",
"2",
"France",
"1"
]
| how many bronze did each nation earn? || 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 8 : 7 | russia | 0 | 1 | 0 | 1 row 9 : 9 | sweden | 0 | 0 | 2 | 2 row 10 : 10 | france | 0 | 0 | 1 | 1 | table_csv/204_107.csv | 2 | {
"column_index": [
1
],
"row_index": [
3
]
} | [
"what nations competed?",
"how many bronze did each nation earn?",
"which nation earned more than 7 bronze?"
]
| 2 | spain | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
]
| which nation earned more than 7 bronze? | [
[
"1",
"Netherlands",
"20",
"9",
"0",
"29"
],
[
"2",
"Italy",
"10",
"15",
"3",
"28"
],
[
"3",
"Belgium",
"1",
"2",
"6",
"9"
],
[
"4",
"Spain",
"1",
"1",
"13",
"15"
],
[
"5",
"Great Britain",
"0",
"2",
"0",
"2"
],
[
"6",
"Germany",
"0",
"1",
"7",
"8"
],
[
"7",
"Greece",
"0",
"1",
"0",
"1"
],
[
"7",
"Russia",
"0",
"1",
"0",
"1"
],
[
"9",
"Sweden",
"0",
"0",
"2",
"2"
],
[
"10",
"France",
"0",
"0",
"1",
"1"
]
]
| [
"Spain"
]
| which nation earned more than 7 bronze? || how many bronze did each nation earn? | what nations competed? |
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 palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"what are all the tribunals?"
]
| 0 | 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 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",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
]
| [
"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 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 palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 1 | {
"column_index": [
0,
0,
0
],
"row_index": [
6,
9,
13
]
} | [
"what are all the tribunals?",
"of these, which tribunals had over 15 executions in persona?"
]
| 0 | cordoba, granada, seville | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
]
| of these, which tribunals had over 15 executions in persona? | [
[
"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",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
]
| [
"Cordoba",
"Granada",
"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 palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 2 | {
"column_index": [
0
],
"row_index": [
9
]
} | [
"what are all the tribunals?",
"of these, which tribunals had over 15 executions in persona?",
"of these, which tribunals had over 40 executions in effigie?"
]
| 0 | granada | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
]
| of these, which tribunals had over 40 executions in effigie? | [
[
"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",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
]
| [
"Granada"
]
| of these, which tribunals had over 40 executions in effigie? || 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 palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"what are all of the 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 | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
]
| what are all of the tribunals in the spanish inquisition? | [
[
"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",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
]
| [
"Barcelona",
"Logrono",
"Palma de Mallorca",
"Saragossa",
"Valencia",
"Las Palmas",
"Cordoba",
"Cuenca",
"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 palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 1 | {
"column_index": [
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"what are all of the tribunals in the spanish inquisition?",
"how many executions in persona did they have?"
]
| 1 | 1, 1, 0, 0, 2, 0, 17, 7, 0, 36, 1, 11, 4, 16, 6, 9 | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
]
| how many executions in persona did they have? | [
[
"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",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
]
| [
"1",
"1",
"0",
"0",
"2",
"0",
"17",
"7",
"0",
"36",
"1",
"11",
"4",
"16",
"6",
"9"
]
| how many executions in persona did they have? || 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 palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 2 | {
"column_index": [
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"what are all of the tribunals in the spanish inquisition?",
"how many executions in persona did they have?",
"what about executions in effigie?"
]
| 1 | 1, 0, 0, 0, 0, 0, 19, 10, 0, 47, 0, 13, 1, 10, 14, 2 | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
]
| what about executions in effigie? | [
[
"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",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
]
| [
"1",
"0",
"0",
"0",
"0",
"0",
"19",
"10",
"0",
"47",
"0",
"13",
"1",
"10",
"14",
"2"
]
| what about executions in effigie? || how many executions in persona did they have? | 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 palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 3 | {
"column_index": [
0
],
"row_index": [
9
]
} | [
"what are all of the tribunals in the spanish inquisition?",
"how many executions in persona did they have?",
"what about executions in effigie?",
"which tribunal had 36 executions in persona?"
]
| 1 | granada | [
"Tribunal",
"Number of autos da fe",
"Executions in persona",
"Executions in effigie",
"Penanced",
"Total"
]
| which tribunal had 36 executions in persona? | [
[
"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",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
]
| [
"Granada"
]
| which tribunal had 36 executions in persona? || what about executions in effigie? | how many executions in persona did they have? | 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 palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
]
} | [
"what are all 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",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
]
| [
"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 palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 1 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
4,
6,
7,
9,
11,
12,
13,
14,
15
]
} | [
"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",
"0?",
"1?"
],
[
"Palma de Mallorca",
"3",
"0",
"0",
"11",
"11"
],
[
"Saragossa",
"1",
"0",
"0",
"3",
"3"
],
[
"Valencia",
"4",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
]
| [
"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 palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 2 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
6,
7,
9,
11,
13,
14,
15
]
} | [
"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? | [
[
"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",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
]
| [
"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 palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463 | table_csv/203_303.csv | 3 | {
"column_index": [
0
],
"row_index": [
9
]
} | [
"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?"
],
[
"Palma de Mallorca",
"3",
"0",
"0",
"11",
"11"
],
[
"Saragossa",
"1",
"0",
"0",
"3",
"3"
],
[
"Valencia",
"4",
"2",
"0",
"49",
"51"
],
[
"Las Palmas",
"0",
"0",
"0",
"0",
"0"
],
[
"Cordoba",
"13",
"17",
"19",
"125",
"161"
],
[
"Cuenca",
"7",
"7",
"10",
"35",
"52"
],
[
"Santiago de Compostela",
"4",
"0",
"0",
"13",
"13"
],
[
"Granada",
"15",
"36",
"47",
"369",
"452"
],
[
"Llerena",
"5",
"1",
"0",
"45",
"46"
],
[
"Madrid",
"4",
"11",
"13",
"46",
"70"
],
[
"Murcia",
"6",
"4",
"1",
"106",
"111"
],
[
"Seville",
"15",
"16",
"10",
"220",
"246"
],
[
"Toledo",
"33",
"6",
"14",
"128",
"148"
],
[
"Valladolid",
"10",
"9",
"2",
"70",
"81"
],
[
"Total",
"125",
"111",
"117",
"1235",
"1463"
]
]
| [
"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 haas | 1660 | 180 | 0 | 1480 | right hip surgery row 5 : 32 | gilles simon | 1395 | 90 | 0 | 1305 | right knee injury row 6 : 36 | ivo karlovic | 1295 | 10 | 0 | 1285 | right foot injury row 7 : 10 | kim clijsters | 3890 | 0 | 0 | 3890 | left foot injury | table_csv/204_188.csv | 0 | {
"column_index": [
1
],
"row_index": [
5
]
} | [
"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"
],
[
"23",
"Tommy Haas",
"1660",
"180",
"0",
"1480",
"right hip surgery"
],
[
"32",
"Gilles Simon",
"1395",
"90",
"0",
"1305",
"right knee injury"
],
[
"36",
"Ivo Karlovic",
"1295",
"10",
"0",
"1285",
"right foot injury"
],
[
"10",
"Kim Clijsters",
"3890",
"0",
"0",
"3890",
"left foot injury"
]
]
| [
"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 haas | 1660 | 180 | 0 | 1480 | right hip surgery row 5 : 32 | gilles simon | 1395 | 90 | 0 | 1305 | right knee injury row 6 : 36 | ivo karlovic | 1295 | 10 | 0 | 1285 | right foot injury row 7 : 10 | kim clijsters | 3890 | 0 | 0 | 3890 | left foot injury | 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"
],
[
"23",
"Tommy Haas",
"1660",
"180",
"0",
"1480",
"right hip surgery"
],
[
"32",
"Gilles Simon",
"1395",
"90",
"0",
"1305",
"right knee injury"
],
[
"36",
"Ivo Karlovic",
"1295",
"10",
"0",
"1285",
"right foot injury"
],
[
"10",
"Kim Clijsters",
"3890",
"0",
"0",
"3890",
"left foot injury"
]
]
| [
"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 haas | 1660 | 180 | 0 | 1480 | right hip surgery row 5 : 32 | gilles simon | 1395 | 90 | 0 | 1305 | right knee injury row 6 : 36 | ivo karlovic | 1295 | 10 | 0 | 1285 | right foot injury row 7 : 10 | kim clijsters | 3890 | 0 | 0 | 3890 | left foot injury | table_csv/204_188.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6
]
} | [
"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"
],
[
"23",
"Tommy Haas",
"1660",
"180",
"0",
"1480",
"right hip surgery"
],
[
"32",
"Gilles Simon",
"1395",
"90",
"0",
"1305",
"right knee injury"
],
[
"36",
"Ivo Karlovic",
"1295",
"10",
"0",
"1285",
"right foot injury"
],
[
"10",
"Kim Clijsters",
"3890",
"0",
"0",
"3890",
"left foot injury"
]
]
| [
"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 haas | 1660 | 180 | 0 | 1480 | right hip surgery row 5 : 32 | gilles simon | 1395 | 90 | 0 | 1305 | right knee injury row 6 : 36 | ivo karlovic | 1295 | 10 | 0 | 1285 | right foot injury row 7 : 10 | kim clijsters | 3890 | 0 | 0 | 3890 | left foot injury | 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"
],
[
"23",
"Tommy Haas",
"1660",
"180",
"0",
"1480",
"right hip surgery"
],
[
"32",
"Gilles Simon",
"1395",
"90",
"0",
"1305",
"right knee injury"
],
[
"36",
"Ivo Karlovic",
"1295",
"10",
"0",
"1285",
"right foot injury"
],
[
"10",
"Kim Clijsters",
"3890",
"0",
"0",
"3890",
"left foot injury"
]
]
| [
"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 haas | 1660 | 180 | 0 | 1480 | right hip surgery row 5 : 32 | gilles simon | 1395 | 90 | 0 | 1305 | right knee injury row 6 : 36 | ivo karlovic | 1295 | 10 | 0 | 1285 | right foot injury row 7 : 10 | kim clijsters | 3890 | 0 | 0 | 3890 | left foot injury | table_csv/204_188.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6
]
} | [
"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"
],
[
"23",
"Tommy Haas",
"1660",
"180",
"0",
"1480",
"right hip surgery"
],
[
"32",
"Gilles Simon",
"1395",
"90",
"0",
"1305",
"right knee injury"
],
[
"36",
"Ivo Karlovic",
"1295",
"10",
"0",
"1285",
"right foot injury"
],
[
"10",
"Kim Clijsters",
"3890",
"0",
"0",
"3890",
"left foot injury"
]
]
| [
"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 haas | 1660 | 180 | 0 | 1480 | right hip surgery row 5 : 32 | gilles simon | 1395 | 90 | 0 | 1305 | right knee injury row 6 : 36 | ivo karlovic | 1295 | 10 | 0 | 1285 | right foot injury row 7 : 10 | kim clijsters | 3890 | 0 | 0 | 3890 | left foot injury | table_csv/204_188.csv | 1 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"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"
],
[
"23",
"Tommy Haas",
"1660",
"180",
"0",
"1480",
"right hip surgery"
],
[
"32",
"Gilles Simon",
"1395",
"90",
"0",
"1305",
"right knee injury"
],
[
"36",
"Ivo Karlovic",
"1295",
"10",
"0",
"1285",
"right foot injury"
],
[
"10",
"Kim Clijsters",
"3890",
"0",
"0",
"3890",
"left foot injury"
]
]
| [
"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 ortiz) row 4 : lucas | male | 32 | carlsbad, ca | student | $0 | 6th captured (by kim) row 5 : andrew | male | 21 | redondo beach, ca | student / lifeguard | $0 | 5th captured (by kim) row 6 : tracy | female | 30 | mililani, hi | student | $0 | 4th captured (by grant) row 7 : lynda | female | 59 | los angeles, ca | general contractor | $0 | 3rd captured (by icey) row 8 : darin | male | 46 | fontana, ca | sports official | $0 | 2nd captured (by wong) row 9 : evan | male | 29 | long island, ny | teacher | $2,000 | opted out row 10 : ameenah | female | 34 | atlanta, ga | drummer | $0 | 1st captured (by grant) | table_csv/203_446.csv | 0 | {
"column_index": [
0,
3,
5,
0,
3,
5,
0,
3,
5,
0,
3,
5,
0,
3,
5,
0,
3,
5,
0,
3,
5,
0,
3,
5,
0,
3,
5,
0,
3,
5
],
"row_index": [
0,
0,
0,
1,
1,
1,
2,
2,
2,
3,
3,
3,
4,
4,
4,
5,
5,
5,
6,
6,
6,
7,
7,
7,
8,
8,
8,
9,
9,
9
]
} | [
"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 | [
"Name",
"Gender",
"Age",
"From",
"Occupation",
"Prize Money (USD)",
"Status"
]
| who were the contestants? | [
[
"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",
"7th Captured (by Ricky Ortiz)"
],
[
"Lucas",
"Male",
"32",
"Carlsbad, CA",
"Student",
"$0",
"6th Captured (by Kim)"
],
[
"Andrew",
"Male",
"21",
"Redondo Beach, CA",
"Student / Lifeguard",
"$0",
"5th Captured (by Kim)"
],
[
"Tracy",
"Female",
"30",
"Mililani, HI",
"Student",
"$0",
"4th Captured (by Grant)"
],
[
"Lynda",
"Female",
"59",
"Los Angeles, CA",
"General Contractor",
"$0",
"3rd Captured (by Icey)"
],
[
"Darin",
"Male",
"46",
"Fontana, CA",
"Sports Official",
"$0",
"2nd Captured (by Wong)"
],
[
"Evan",
"Male",
"29",
"Long Island, NY",
"Teacher",
"$2,000",
"Opted Out"
],
[
"Ameenah",
"Female",
"34",
"Atlanta, GA",
"Drummer",
"$0",
"1st Captured (by Grant)"
]
]
| [
"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"
]
| 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 ortiz) row 4 : lucas | male | 32 | carlsbad, ca | student | $0 | 6th captured (by kim) row 5 : andrew | male | 21 | redondo beach, ca | student / lifeguard | $0 | 5th captured (by kim) row 6 : tracy | female | 30 | mililani, hi | student | $0 | 4th captured (by grant) row 7 : lynda | female | 59 | los angeles, ca | general contractor | $0 | 3rd captured (by icey) row 8 : darin | male | 46 | fontana, ca | sports official | $0 | 2nd captured (by wong) row 9 : evan | male | 29 | long island, ny | teacher | $2,000 | opted out row 10 : ameenah | female | 34 | atlanta, ga | drummer | $0 | 1st captured (by grant) | table_csv/203_446.csv | 1 | {
"column_index": [
0,
3,
5,
0,
3,
5,
0,
3,
5,
0,
3,
5,
0,
3,
5
],
"row_index": [
0,
0,
0,
3,
3,
3,
4,
4,
4,
6,
6,
6,
7,
7,
7
]
} | [
"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",
"7th Captured (by Ricky Ortiz)"
],
[
"Lucas",
"Male",
"32",
"Carlsbad, CA",
"Student",
"$0",
"6th Captured (by Kim)"
],
[
"Andrew",
"Male",
"21",
"Redondo Beach, CA",
"Student / Lifeguard",
"$0",
"5th Captured (by Kim)"
],
[
"Tracy",
"Female",
"30",
"Mililani, HI",
"Student",
"$0",
"4th Captured (by Grant)"
],
[
"Lynda",
"Female",
"59",
"Los Angeles, CA",
"General Contractor",
"$0",
"3rd Captured (by Icey)"
],
[
"Darin",
"Male",
"46",
"Fontana, CA",
"Sports Official",
"$0",
"2nd Captured (by Wong)"
],
[
"Evan",
"Male",
"29",
"Long Island, NY",
"Teacher",
"$2,000",
"Opted Out"
],
[
"Ameenah",
"Female",
"34",
"Atlanta, GA",
"Drummer",
"$0",
"1st Captured (by Grant)"
]
]
| [
"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 ortiz) row 4 : lucas | male | 32 | carlsbad, ca | student | $0 | 6th captured (by kim) row 5 : andrew | male | 21 | redondo beach, ca | student / lifeguard | $0 | 5th captured (by kim) row 6 : tracy | female | 30 | mililani, hi | student | $0 | 4th captured (by grant) row 7 : lynda | female | 59 | los angeles, ca | general contractor | $0 | 3rd captured (by icey) row 8 : darin | male | 46 | fontana, ca | sports official | $0 | 2nd captured (by wong) row 9 : evan | male | 29 | long island, ny | teacher | $2,000 | opted out row 10 : ameenah | female | 34 | atlanta, ga | drummer | $0 | 1st captured (by grant) | table_csv/203_446.csv | 2 | {
"column_index": [
5,
5,
5,
5,
5
],
"row_index": [
0,
3,
4,
6,
7
]
} | [
"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? | [
[
"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",
"7th Captured (by Ricky Ortiz)"
],
[
"Lucas",
"Male",
"32",
"Carlsbad, CA",
"Student",
"$0",
"6th Captured (by Kim)"
],
[
"Andrew",
"Male",
"21",
"Redondo Beach, CA",
"Student / Lifeguard",
"$0",
"5th Captured (by Kim)"
],
[
"Tracy",
"Female",
"30",
"Mililani, HI",
"Student",
"$0",
"4th Captured (by Grant)"
],
[
"Lynda",
"Female",
"59",
"Los Angeles, CA",
"General Contractor",
"$0",
"3rd Captured (by Icey)"
],
[
"Darin",
"Male",
"46",
"Fontana, CA",
"Sports Official",
"$0",
"2nd Captured (by Wong)"
],
[
"Evan",
"Male",
"29",
"Long Island, NY",
"Teacher",
"$2,000",
"Opted Out"
],
[
"Ameenah",
"Female",
"34",
"Atlanta, GA",
"Drummer",
"$0",
"1st Captured (by Grant)"
]
]
| [
"$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 ortiz) row 4 : lucas | male | 32 | carlsbad, ca | student | $0 | 6th captured (by kim) row 5 : andrew | male | 21 | redondo beach, ca | student / lifeguard | $0 | 5th captured (by kim) row 6 : tracy | female | 30 | mililani, hi | student | $0 | 4th captured (by grant) row 7 : lynda | female | 59 | los angeles, ca | general contractor | $0 | 3rd captured (by icey) row 8 : darin | male | 46 | fontana, ca | sports official | $0 | 2nd captured (by wong) row 9 : evan | male | 29 | long island, ny | teacher | $2,000 | opted out row 10 : ameenah | female | 34 | atlanta, ga | drummer | $0 | 1st captured (by grant) | table_csv/203_446.csv | 3 | {
"column_index": [
5
],
"row_index": [
0
]
} | [
"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",
"7th Captured (by Ricky Ortiz)"
],
[
"Lucas",
"Male",
"32",
"Carlsbad, CA",
"Student",
"$0",
"6th Captured (by Kim)"
],
[
"Andrew",
"Male",
"21",
"Redondo Beach, CA",
"Student / Lifeguard",
"$0",
"5th Captured (by Kim)"
],
[
"Tracy",
"Female",
"30",
"Mililani, HI",
"Student",
"$0",
"4th Captured (by Grant)"
],
[
"Lynda",
"Female",
"59",
"Los Angeles, CA",
"General Contractor",
"$0",
"3rd Captured (by Icey)"
],
[
"Darin",
"Male",
"46",
"Fontana, CA",
"Sports Official",
"$0",
"2nd Captured (by Wong)"
],
[
"Evan",
"Male",
"29",
"Long Island, NY",
"Teacher",
"$2,000",
"Opted Out"
],
[
"Ameenah",
"Female",
"34",
"Atlanta, GA",
"Drummer",
"$0",
"1st Captured (by Grant)"
]
]
| [
"$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 ortiz) row 4 : lucas | male | 32 | carlsbad, ca | student | $0 | 6th captured (by kim) row 5 : andrew | male | 21 | redondo beach, ca | student / lifeguard | $0 | 5th captured (by kim) row 6 : tracy | female | 30 | mililani, hi | student | $0 | 4th captured (by grant) row 7 : lynda | female | 59 | los angeles, ca | general contractor | $0 | 3rd captured (by icey) row 8 : darin | male | 46 | fontana, ca | sports official | $0 | 2nd captured (by wong) row 9 : evan | male | 29 | long island, ny | teacher | $2,000 | opted out row 10 : ameenah | female | 34 | atlanta, ga | drummer | $0 | 1st captured (by grant) | table_csv/203_446.csv | 0 | {
"column_index": [
5,
5,
5,
5,
5,
5,
5,
5,
5,
5
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
]
} | [
"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",
"7th Captured (by Ricky Ortiz)"
],
[
"Lucas",
"Male",
"32",
"Carlsbad, CA",
"Student",
"$0",
"6th Captured (by Kim)"
],
[
"Andrew",
"Male",
"21",
"Redondo Beach, CA",
"Student / Lifeguard",
"$0",
"5th Captured (by Kim)"
],
[
"Tracy",
"Female",
"30",
"Mililani, HI",
"Student",
"$0",
"4th Captured (by Grant)"
],
[
"Lynda",
"Female",
"59",
"Los Angeles, CA",
"General Contractor",
"$0",
"3rd Captured (by Icey)"
],
[
"Darin",
"Male",
"46",
"Fontana, CA",
"Sports Official",
"$0",
"2nd Captured (by Wong)"
],
[
"Evan",
"Male",
"29",
"Long Island, NY",
"Teacher",
"$2,000",
"Opted Out"
],
[
"Ameenah",
"Female",
"34",
"Atlanta, GA",
"Drummer",
"$0",
"1st Captured (by Grant)"
]
]
| [
"$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 ortiz) row 4 : lucas | male | 32 | carlsbad, ca | student | $0 | 6th captured (by kim) row 5 : andrew | male | 21 | redondo beach, ca | student / lifeguard | $0 | 5th captured (by kim) row 6 : tracy | female | 30 | mililani, hi | student | $0 | 4th captured (by grant) row 7 : lynda | female | 59 | los angeles, ca | general contractor | $0 | 3rd captured (by icey) row 8 : darin | male | 46 | fontana, ca | sports official | $0 | 2nd captured (by wong) row 9 : evan | male | 29 | long island, ny | teacher | $2,000 | opted out row 10 : ameenah | female | 34 | atlanta, ga | drummer | $0 | 1st captured (by grant) | table_csv/203_446.csv | 1 | {
"column_index": [
5
],
"row_index": [
0
]
} | [
"how much did each contestant win?",
"which prize was the highest?"
]
| 1 | $26,000 | [
"Name",
"Gender",
"Age",
"From",
"Occupation",
"Prize Money (USD)",
"Status"
]
| which prize was the highest? | [
[
"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",
"7th Captured (by Ricky Ortiz)"
],
[
"Lucas",
"Male",
"32",
"Carlsbad, CA",
"Student",
"$0",
"6th Captured (by Kim)"
],
[
"Andrew",
"Male",
"21",
"Redondo Beach, CA",
"Student / Lifeguard",
"$0",
"5th Captured (by Kim)"
],
[
"Tracy",
"Female",
"30",
"Mililani, HI",
"Student",
"$0",
"4th Captured (by Grant)"
],
[
"Lynda",
"Female",
"59",
"Los Angeles, CA",
"General Contractor",
"$0",
"3rd Captured (by Icey)"
],
[
"Darin",
"Male",
"46",
"Fontana, CA",
"Sports Official",
"$0",
"2nd Captured (by Wong)"
],
[
"Evan",
"Male",
"29",
"Long Island, NY",
"Teacher",
"$2,000",
"Opted Out"
],
[
"Ameenah",
"Female",
"34",
"Atlanta, GA",
"Drummer",
"$0",
"1st Captured (by Grant)"
]
]
| [
"$26,000"
]
| which prize was the highest? || 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 ortiz) row 4 : lucas | male | 32 | carlsbad, ca | student | $0 | 6th captured (by kim) row 5 : andrew | male | 21 | redondo beach, ca | student / lifeguard | $0 | 5th captured (by kim) row 6 : tracy | female | 30 | mililani, hi | student | $0 | 4th captured (by grant) row 7 : lynda | female | 59 | los angeles, ca | general contractor | $0 | 3rd captured (by icey) row 8 : darin | male | 46 | fontana, ca | sports official | $0 | 2nd captured (by wong) row 9 : evan | male | 29 | long island, ny | teacher | $2,000 | opted out row 10 : ameenah | female | 34 | atlanta, ga | drummer | $0 | 1st captured (by grant) | table_csv/203_446.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
]
} | [
"who are all the contestants?"
]
| 2 | trisha, london, adria, lucas, andrew, tracy, lynda, darin, evan, ameenah | [
"Name",
"Gender",
"Age",
"From",
"Occupation",
"Prize Money (USD)",
"Status"
]
| who are all the contestants? | [
[
"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",
"7th Captured (by Ricky Ortiz)"
],
[
"Lucas",
"Male",
"32",
"Carlsbad, CA",
"Student",
"$0",
"6th Captured (by Kim)"
],
[
"Andrew",
"Male",
"21",
"Redondo Beach, CA",
"Student / Lifeguard",
"$0",
"5th Captured (by Kim)"
],
[
"Tracy",
"Female",
"30",
"Mililani, HI",
"Student",
"$0",
"4th Captured (by Grant)"
],
[
"Lynda",
"Female",
"59",
"Los Angeles, CA",
"General Contractor",
"$0",
"3rd Captured (by Icey)"
],
[
"Darin",
"Male",
"46",
"Fontana, CA",
"Sports Official",
"$0",
"2nd Captured (by Wong)"
],
[
"Evan",
"Male",
"29",
"Long Island, NY",
"Teacher",
"$2,000",
"Opted Out"
],
[
"Ameenah",
"Female",
"34",
"Atlanta, GA",
"Drummer",
"$0",
"1st Captured (by Grant)"
]
]
| [
"Trisha",
"London",
"Adria",
"Lucas",
"Andrew",
"Tracy",
"Lynda",
"Darin",
"Evan",
"Ameenah"
]
| who are all 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 ortiz) row 4 : lucas | male | 32 | carlsbad, ca | student | $0 | 6th captured (by kim) row 5 : andrew | male | 21 | redondo beach, ca | student / lifeguard | $0 | 5th captured (by kim) row 6 : tracy | female | 30 | mililani, hi | student | $0 | 4th captured (by grant) row 7 : lynda | female | 59 | los angeles, ca | general contractor | $0 | 3rd captured (by icey) row 8 : darin | male | 46 | fontana, ca | sports official | $0 | 2nd captured (by wong) row 9 : evan | male | 29 | long island, ny | teacher | $2,000 | opted out row 10 : ameenah | female | 34 | atlanta, ga | drummer | $0 | 1st captured (by grant) | table_csv/203_446.csv | 1 | {
"column_index": [
0
],
"row_index": [
0
]
} | [
"who are all the contestants?",
"which ones are from california?"
]
| 2 | trisha | [
"Name",
"Gender",
"Age",
"From",
"Occupation",
"Prize Money (USD)",
"Status"
]
| which ones are 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",
"7th Captured (by Ricky Ortiz)"
],
[
"Lucas",
"Male",
"32",
"Carlsbad, CA",
"Student",
"$0",
"6th Captured (by Kim)"
],
[
"Andrew",
"Male",
"21",
"Redondo Beach, CA",
"Student / Lifeguard",
"$0",
"5th Captured (by Kim)"
],
[
"Tracy",
"Female",
"30",
"Mililani, HI",
"Student",
"$0",
"4th Captured (by Grant)"
],
[
"Lynda",
"Female",
"59",
"Los Angeles, CA",
"General Contractor",
"$0",
"3rd Captured (by Icey)"
],
[
"Darin",
"Male",
"46",
"Fontana, CA",
"Sports Official",
"$0",
"2nd Captured (by Wong)"
],
[
"Evan",
"Male",
"29",
"Long Island, NY",
"Teacher",
"$2,000",
"Opted Out"
],
[
"Ameenah",
"Female",
"34",
"Atlanta, GA",
"Drummer",
"$0",
"1st Captured (by Grant)"
]
]
| [
"Trisha"
]
| which ones are from california? || who are all 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 ortiz) row 4 : lucas | male | 32 | carlsbad, ca | student | $0 | 6th captured (by kim) row 5 : andrew | male | 21 | redondo beach, ca | student / lifeguard | $0 | 5th captured (by kim) row 6 : tracy | female | 30 | mililani, hi | student | $0 | 4th captured (by grant) row 7 : lynda | female | 59 | los angeles, ca | general contractor | $0 | 3rd captured (by icey) row 8 : darin | male | 46 | fontana, ca | sports official | $0 | 2nd captured (by wong) row 9 : evan | male | 29 | long island, ny | teacher | $2,000 | opted out row 10 : ameenah | female | 34 | atlanta, ga | drummer | $0 | 1st captured (by grant) | table_csv/203_446.csv | 2 | {
"column_index": [
5
],
"row_index": [
0
]
} | [
"who are all the contestants?",
"which ones are from california?",
"how much prize money did they win?"
]
| 2 | $26,000 | [
"Name",
"Gender",
"Age",
"From",
"Occupation",
"Prize Money (USD)",
"Status"
]
| how much prize money did they 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",
"7th Captured (by Ricky Ortiz)"
],
[
"Lucas",
"Male",
"32",
"Carlsbad, CA",
"Student",
"$0",
"6th Captured (by Kim)"
],
[
"Andrew",
"Male",
"21",
"Redondo Beach, CA",
"Student / Lifeguard",
"$0",
"5th Captured (by Kim)"
],
[
"Tracy",
"Female",
"30",
"Mililani, HI",
"Student",
"$0",
"4th Captured (by Grant)"
],
[
"Lynda",
"Female",
"59",
"Los Angeles, CA",
"General Contractor",
"$0",
"3rd Captured (by Icey)"
],
[
"Darin",
"Male",
"46",
"Fontana, CA",
"Sports Official",
"$0",
"2nd Captured (by Wong)"
],
[
"Evan",
"Male",
"29",
"Long Island, NY",
"Teacher",
"$2,000",
"Opted Out"
],
[
"Ameenah",
"Female",
"34",
"Atlanta, GA",
"Drummer",
"$0",
"1st Captured (by Grant)"
]
]
| [
"$26,000"
]
| how much prize money did they win? || which ones are from california? | who are all the contestants? |
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 : 1993/94 | 5 | pref. aut. | 4th row 9 : 1994/95 | 5 | pref. aut. | 6th row 10 : 1995/96 | 5 | pref. aut. | 3rd row 11 : 1996/97 | 5 | pref. aut. | 3rd row 12 : 1997/98 | 5 | pref. aut. | 1st row 13 : 1998/99 | 4 | 3a | 17th row 14 : 1999/00 | 5 | pref. aut. | 6th | table_csv/204_79.csv | 0 | {
"column_index": [
3
],
"row_index": [
9
]
} | [
"what was the rank of the 1995/96 season?"
]
| 0 | 3rd | [
"Season",
"Tier",
"Division",
"Place"
]
| what was the rank of the 1995/96 season? | [
[
"1949-87",
"5",
"Regional",
"--"
],
[
"1987/88",
"5",
"Pref. Aut.",
"10th"
],
[
"1988/89",
"5",
"Pref. Aut.",
"5th"
],
[
"1989/90",
"5",
"Pref. Aut.",
"13th"
],
[
"1990/91",
"5",
"Pref. Aut.",
"11th"
],
[
"1991/92",
"5",
"Pref. Aut.",
"7th"
],
[
"1992/93",
"5",
"Pref. Aut.",
"9th"
],
[
"1993/94",
"5",
"Pref. Aut.",
"4th"
],
[
"1994/95",
"5",
"Pref. Aut.",
"6th"
],
[
"1995/96",
"5",
"Pref. Aut.",
"3rd"
],
[
"1996/97",
"5",
"Pref. Aut.",
"3rd"
],
[
"1997/98",
"5",
"Pref. Aut.",
"1st"
],
[
"1998/99",
"4",
"3a",
"17th"
],
[
"1999/00",
"5",
"Pref. Aut.",
"6th"
]
]
| [
"3rd"
]
| what was the rank of the 1995/96 season? || |
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 : 1993/94 | 5 | pref. aut. | 4th row 9 : 1994/95 | 5 | pref. aut. | 6th row 10 : 1995/96 | 5 | pref. aut. | 3rd row 11 : 1996/97 | 5 | pref. aut. | 3rd row 12 : 1997/98 | 5 | pref. aut. | 1st row 13 : 1998/99 | 4 | 3a | 17th row 14 : 1999/00 | 5 | pref. aut. | 6th | table_csv/204_79.csv | 1 | {
"column_index": [
3
],
"row_index": [
10
]
} | [
"what was the rank of the 1995/96 season?",
"what other rank is the same as this?"
]
| 0 | 3rd | [
"Season",
"Tier",
"Division",
"Place"
]
| what other rank is the same as this? | [
[
"1949-87",
"5",
"Regional",
"--"
],
[
"1987/88",
"5",
"Pref. Aut.",
"10th"
],
[
"1988/89",
"5",
"Pref. Aut.",
"5th"
],
[
"1989/90",
"5",
"Pref. Aut.",
"13th"
],
[
"1990/91",
"5",
"Pref. Aut.",
"11th"
],
[
"1991/92",
"5",
"Pref. Aut.",
"7th"
],
[
"1992/93",
"5",
"Pref. Aut.",
"9th"
],
[
"1993/94",
"5",
"Pref. Aut.",
"4th"
],
[
"1994/95",
"5",
"Pref. Aut.",
"6th"
],
[
"1995/96",
"5",
"Pref. Aut.",
"3rd"
],
[
"1996/97",
"5",
"Pref. Aut.",
"3rd"
],
[
"1997/98",
"5",
"Pref. Aut.",
"1st"
],
[
"1998/99",
"4",
"3a",
"17th"
],
[
"1999/00",
"5",
"Pref. Aut.",
"6th"
]
]
| [
"3rd"
]
| what other rank is the same as this? || what was the rank of the 1995/96 season? |
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 : 1993/94 | 5 | pref. aut. | 4th row 9 : 1994/95 | 5 | pref. aut. | 6th row 10 : 1995/96 | 5 | pref. aut. | 3rd row 11 : 1996/97 | 5 | pref. aut. | 3rd row 12 : 1997/98 | 5 | pref. aut. | 1st row 13 : 1998/99 | 4 | 3a | 17th row 14 : 1999/00 | 5 | pref. aut. | 6th | table_csv/204_79.csv | 2 | {
"column_index": [
0
],
"row_index": [
10
]
} | [
"what was the rank of the 1995/96 season?",
"what other rank is the same as this?",
"what year did this take place?"
]
| 0 | 1996/97 | [
"Season",
"Tier",
"Division",
"Place"
]
| what year did this take place? | [
[
"1949-87",
"5",
"Regional",
"--"
],
[
"1987/88",
"5",
"Pref. Aut.",
"10th"
],
[
"1988/89",
"5",
"Pref. Aut.",
"5th"
],
[
"1989/90",
"5",
"Pref. Aut.",
"13th"
],
[
"1990/91",
"5",
"Pref. Aut.",
"11th"
],
[
"1991/92",
"5",
"Pref. Aut.",
"7th"
],
[
"1992/93",
"5",
"Pref. Aut.",
"9th"
],
[
"1993/94",
"5",
"Pref. Aut.",
"4th"
],
[
"1994/95",
"5",
"Pref. Aut.",
"6th"
],
[
"1995/96",
"5",
"Pref. Aut.",
"3rd"
],
[
"1996/97",
"5",
"Pref. Aut.",
"3rd"
],
[
"1997/98",
"5",
"Pref. Aut.",
"1st"
],
[
"1998/99",
"4",
"3a",
"17th"
],
[
"1999/00",
"5",
"Pref. Aut.",
"6th"
]
]
| [
"1996/97"
]
| what year did this take place? || what other rank is the same as this? | what was the rank of the 1995/96 season? |
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 : 1993/94 | 5 | pref. aut. | 4th row 9 : 1994/95 | 5 | pref. aut. | 6th row 10 : 1995/96 | 5 | pref. aut. | 3rd row 11 : 1996/97 | 5 | pref. aut. | 3rd row 12 : 1997/98 | 5 | pref. aut. | 1st row 13 : 1998/99 | 4 | 3a | 17th row 14 : 1999/00 | 5 | pref. aut. | 6th | table_csv/204_79.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13
]
} | [
"which seasons are included in this list?"
]
| 1 | 1949-87, 1987/88, 1988/89, 1989/90, 1990/91, 1991/92, 1992/93, 1993/94, 1994/95, 1995/96, 1996/97, 1997/98, 1998/99, 1999/00 | [
"Season",
"Tier",
"Division",
"Place"
]
| which seasons are included in this list? | [
[
"1949-87",
"5",
"Regional",
"--"
],
[
"1987/88",
"5",
"Pref. Aut.",
"10th"
],
[
"1988/89",
"5",
"Pref. Aut.",
"5th"
],
[
"1989/90",
"5",
"Pref. Aut.",
"13th"
],
[
"1990/91",
"5",
"Pref. Aut.",
"11th"
],
[
"1991/92",
"5",
"Pref. Aut.",
"7th"
],
[
"1992/93",
"5",
"Pref. Aut.",
"9th"
],
[
"1993/94",
"5",
"Pref. Aut.",
"4th"
],
[
"1994/95",
"5",
"Pref. Aut.",
"6th"
],
[
"1995/96",
"5",
"Pref. Aut.",
"3rd"
],
[
"1996/97",
"5",
"Pref. Aut.",
"3rd"
],
[
"1997/98",
"5",
"Pref. Aut.",
"1st"
],
[
"1998/99",
"4",
"3a",
"17th"
],
[
"1999/00",
"5",
"Pref. Aut.",
"6th"
]
]
| [
"1949-87",
"1987/88",
"1988/89",
"1989/90",
"1990/91",
"1991/92",
"1992/93",
"1993/94",
"1994/95",
"1995/96",
"1996/97",
"1997/98",
"1998/99",
"1999/00"
]
| which seasons are included in this list? || |
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 : 1993/94 | 5 | pref. aut. | 4th row 9 : 1994/95 | 5 | pref. aut. | 6th row 10 : 1995/96 | 5 | pref. aut. | 3rd row 11 : 1996/97 | 5 | pref. aut. | 3rd row 12 : 1997/98 | 5 | pref. aut. | 1st row 13 : 1998/99 | 4 | 3a | 17th row 14 : 1999/00 | 5 | pref. aut. | 6th | table_csv/204_79.csv | 1 | {
"column_index": [
0
],
"row_index": [
10
]
} | [
"which seasons are included in this list?",
"along with 1995/96, which of those seasons also ranked as 3rd place?"
]
| 1 | 1996/97 | [
"Season",
"Tier",
"Division",
"Place"
]
| along with 1995/96, which of those seasons also ranked as 3rd place? | [
[
"1949-87",
"5",
"Regional",
"--"
],
[
"1987/88",
"5",
"Pref. Aut.",
"10th"
],
[
"1988/89",
"5",
"Pref. Aut.",
"5th"
],
[
"1989/90",
"5",
"Pref. Aut.",
"13th"
],
[
"1990/91",
"5",
"Pref. Aut.",
"11th"
],
[
"1991/92",
"5",
"Pref. Aut.",
"7th"
],
[
"1992/93",
"5",
"Pref. Aut.",
"9th"
],
[
"1993/94",
"5",
"Pref. Aut.",
"4th"
],
[
"1994/95",
"5",
"Pref. Aut.",
"6th"
],
[
"1995/96",
"5",
"Pref. Aut.",
"3rd"
],
[
"1996/97",
"5",
"Pref. Aut.",
"3rd"
],
[
"1997/98",
"5",
"Pref. Aut.",
"1st"
],
[
"1998/99",
"4",
"3a",
"17th"
],
[
"1999/00",
"5",
"Pref. Aut.",
"6th"
]
]
| [
"1996/97"
]
| along with 1995/96, which of those seasons also ranked as 3rd place? || which seasons are included in this list? |
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 : 1993/94 | 5 | pref. aut. | 4th row 9 : 1994/95 | 5 | pref. aut. | 6th row 10 : 1995/96 | 5 | pref. aut. | 3rd row 11 : 1996/97 | 5 | pref. aut. | 3rd row 12 : 1997/98 | 5 | pref. aut. | 1st row 13 : 1998/99 | 4 | 3a | 17th row 14 : 1999/00 | 5 | pref. aut. | 6th | table_csv/204_79.csv | 0 | {
"column_index": [
3
],
"row_index": [
9
]
} | [
"what place did the team rank in the 95-96 season?"
]
| 2 | 3rd | [
"Season",
"Tier",
"Division",
"Place"
]
| what place did the team rank in the 95-96 season? | [
[
"1949-87",
"5",
"Regional",
"--"
],
[
"1987/88",
"5",
"Pref. Aut.",
"10th"
],
[
"1988/89",
"5",
"Pref. Aut.",
"5th"
],
[
"1989/90",
"5",
"Pref. Aut.",
"13th"
],
[
"1990/91",
"5",
"Pref. Aut.",
"11th"
],
[
"1991/92",
"5",
"Pref. Aut.",
"7th"
],
[
"1992/93",
"5",
"Pref. Aut.",
"9th"
],
[
"1993/94",
"5",
"Pref. Aut.",
"4th"
],
[
"1994/95",
"5",
"Pref. Aut.",
"6th"
],
[
"1995/96",
"5",
"Pref. Aut.",
"3rd"
],
[
"1996/97",
"5",
"Pref. Aut.",
"3rd"
],
[
"1997/98",
"5",
"Pref. Aut.",
"1st"
],
[
"1998/99",
"4",
"3a",
"17th"
],
[
"1999/00",
"5",
"Pref. Aut.",
"6th"
]
]
| [
"3rd"
]
| what place did the team rank in the 95-96 season? || |
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 : 1993/94 | 5 | pref. aut. | 4th row 9 : 1994/95 | 5 | pref. aut. | 6th row 10 : 1995/96 | 5 | pref. aut. | 3rd row 11 : 1996/97 | 5 | pref. aut. | 3rd row 12 : 1997/98 | 5 | pref. aut. | 1st row 13 : 1998/99 | 4 | 3a | 17th row 14 : 1999/00 | 5 | pref. aut. | 6th | table_csv/204_79.csv | 1 | {
"column_index": [
0
],
"row_index": [
10
]
} | [
"what place did the team rank in the 95-96 season?",
"in what other season did the team rank third?"
]
| 2 | 1996/97 | [
"Season",
"Tier",
"Division",
"Place"
]
| in what other season did the team rank third? | [
[
"1949-87",
"5",
"Regional",
"--"
],
[
"1987/88",
"5",
"Pref. Aut.",
"10th"
],
[
"1988/89",
"5",
"Pref. Aut.",
"5th"
],
[
"1989/90",
"5",
"Pref. Aut.",
"13th"
],
[
"1990/91",
"5",
"Pref. Aut.",
"11th"
],
[
"1991/92",
"5",
"Pref. Aut.",
"7th"
],
[
"1992/93",
"5",
"Pref. Aut.",
"9th"
],
[
"1993/94",
"5",
"Pref. Aut.",
"4th"
],
[
"1994/95",
"5",
"Pref. Aut.",
"6th"
],
[
"1995/96",
"5",
"Pref. Aut.",
"3rd"
],
[
"1996/97",
"5",
"Pref. Aut.",
"3rd"
],
[
"1997/98",
"5",
"Pref. Aut.",
"1st"
],
[
"1998/99",
"4",
"3a",
"17th"
],
[
"1999/00",
"5",
"Pref. Aut.",
"6th"
]
]
| [
"1996/97"
]
| in what other season did the team rank third? || what place did the team rank in the 95-96 season? |
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 : 8 | cameroon | 1 | 4 | 1 | 6 row 9 : 9 | egypt | 1 | 1 | 2 | 4 row 10 : 10 | mauritius | 1 | 0 | 1 | 2 row 11 : 11 | mozambique | 1 | 0 | 0 | 1 row 12 : 12 | algeria | 0 | 8 | 1 | 9 row 13 : 13 | madagascar | 0 | 2 | 1 | 3 row 14 : 14 | zimbabwe | 0 | 1 | 1 | 2 row 15 : 15 | tanzania | 0 | 1 | 0 | 1 row 16 : 15 | togo | 0 | 1 | 0 | 1 row 17 : 15 | burkina faso | 0 | 1 | 0 | 1 row 18 : 18 | central african republic | 0 | 0 | 1 | 1 row 19 : 18 | uganda | 0 | 0 | 1 | 1 row 20 : 18 | namibia | 0 | 0 | 1 | 1 row 21 : 18 | ivory coast | 0 | 0 | 1 | 1 | table_csv/203_61.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20
]
} | [
"what are all the countries?"
]
| 0 | 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"
]
| what are all the countries? | [
[
"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",
"2",
"1",
"5"
],
[
"6",
"Senegal",
"2",
"1",
"3",
"6"
],
[
"7",
"Ghana",
"2",
"0",
"4",
"6"
],
[
"8",
"Cameroon",
"1",
"4",
"1",
"6"
],
[
"9",
"Egypt",
"1",
"1",
"2",
"4"
],
[
"10",
"Mauritius",
"1",
"0",
"1",
"2"
],
[
"11",
"Mozambique",
"1",
"0",
"0",
"1"
],
[
"12",
"Algeria",
"0",
"8",
"1",
"9"
],
[
"13",
"Madagascar",
"0",
"2",
"1",
"3"
],
[
"14",
"Zimbabwe",
"0",
"1",
"1",
"2"
],
[
"15",
"Tanzania",
"0",
"1",
"0",
"1"
],
[
"15",
"Togo",
"0",
"1",
"0",
"1"
],
[
"15",
"Burkina Faso",
"0",
"1",
"0",
"1"
],
[
"18",
"Central African Republic",
"0",
"0",
"1",
"1"
],
[
"18",
"Uganda",
"0",
"0",
"1",
"1"
],
[
"18",
"Namibia",
"0",
"0",
"1",
"1"
],
[
"18",
"Ivory Coast",
"0",
"0",
"1",
"1"
]
]
| [
"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"
]
| what are all the countries? || |
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 : 8 | cameroon | 1 | 4 | 1 | 6 row 9 : 9 | egypt | 1 | 1 | 2 | 4 row 10 : 10 | mauritius | 1 | 0 | 1 | 2 row 11 : 11 | mozambique | 1 | 0 | 0 | 1 row 12 : 12 | algeria | 0 | 8 | 1 | 9 row 13 : 13 | madagascar | 0 | 2 | 1 | 3 row 14 : 14 | zimbabwe | 0 | 1 | 1 | 2 row 15 : 15 | tanzania | 0 | 1 | 0 | 1 row 16 : 15 | togo | 0 | 1 | 0 | 1 row 17 : 15 | burkina faso | 0 | 1 | 0 | 1 row 18 : 18 | central african republic | 0 | 0 | 1 | 1 row 19 : 18 | uganda | 0 | 0 | 1 | 1 row 20 : 18 | namibia | 0 | 0 | 1 | 1 row 21 : 18 | ivory coast | 0 | 0 | 1 | 1 | table_csv/203_61.csv | 1 | {
"column_index": [
1
],
"row_index": [
1
]
} | [
"what are all the countries?",
"of those, who has won the most medals overall?"
]
| 0 | south africa | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
]
| of those, who has won the most medals overall? | [
[
"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",
"2",
"1",
"5"
],
[
"6",
"Senegal",
"2",
"1",
"3",
"6"
],
[
"7",
"Ghana",
"2",
"0",
"4",
"6"
],
[
"8",
"Cameroon",
"1",
"4",
"1",
"6"
],
[
"9",
"Egypt",
"1",
"1",
"2",
"4"
],
[
"10",
"Mauritius",
"1",
"0",
"1",
"2"
],
[
"11",
"Mozambique",
"1",
"0",
"0",
"1"
],
[
"12",
"Algeria",
"0",
"8",
"1",
"9"
],
[
"13",
"Madagascar",
"0",
"2",
"1",
"3"
],
[
"14",
"Zimbabwe",
"0",
"1",
"1",
"2"
],
[
"15",
"Tanzania",
"0",
"1",
"0",
"1"
],
[
"15",
"Togo",
"0",
"1",
"0",
"1"
],
[
"15",
"Burkina Faso",
"0",
"1",
"0",
"1"
],
[
"18",
"Central African Republic",
"0",
"0",
"1",
"1"
],
[
"18",
"Uganda",
"0",
"0",
"1",
"1"
],
[
"18",
"Namibia",
"0",
"0",
"1",
"1"
],
[
"18",
"Ivory Coast",
"0",
"0",
"1",
"1"
]
]
| [
"South Africa"
]
| of those, who has won the most medals overall? || what are all the countries? |
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 : 8 | cameroon | 1 | 4 | 1 | 6 row 9 : 9 | egypt | 1 | 1 | 2 | 4 row 10 : 10 | mauritius | 1 | 0 | 1 | 2 row 11 : 11 | mozambique | 1 | 0 | 0 | 1 row 12 : 12 | algeria | 0 | 8 | 1 | 9 row 13 : 13 | madagascar | 0 | 2 | 1 | 3 row 14 : 14 | zimbabwe | 0 | 1 | 1 | 2 row 15 : 15 | tanzania | 0 | 1 | 0 | 1 row 16 : 15 | togo | 0 | 1 | 0 | 1 row 17 : 15 | burkina faso | 0 | 1 | 0 | 1 row 18 : 18 | central african republic | 0 | 0 | 1 | 1 row 19 : 18 | uganda | 0 | 0 | 1 | 1 row 20 : 18 | namibia | 0 | 0 | 1 | 1 row 21 : 18 | ivory coast | 0 | 0 | 1 | 1 | table_csv/203_61.csv | 0 | {
"column_index": [
2
],
"row_index": [
0
]
} | [
"how many gold medals does nigeria have?"
]
| 1 | 13 | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
]
| how many gold medals does nigeria have? | [
[
"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",
"2",
"1",
"5"
],
[
"6",
"Senegal",
"2",
"1",
"3",
"6"
],
[
"7",
"Ghana",
"2",
"0",
"4",
"6"
],
[
"8",
"Cameroon",
"1",
"4",
"1",
"6"
],
[
"9",
"Egypt",
"1",
"1",
"2",
"4"
],
[
"10",
"Mauritius",
"1",
"0",
"1",
"2"
],
[
"11",
"Mozambique",
"1",
"0",
"0",
"1"
],
[
"12",
"Algeria",
"0",
"8",
"1",
"9"
],
[
"13",
"Madagascar",
"0",
"2",
"1",
"3"
],
[
"14",
"Zimbabwe",
"0",
"1",
"1",
"2"
],
[
"15",
"Tanzania",
"0",
"1",
"0",
"1"
],
[
"15",
"Togo",
"0",
"1",
"0",
"1"
],
[
"15",
"Burkina Faso",
"0",
"1",
"0",
"1"
],
[
"18",
"Central African Republic",
"0",
"0",
"1",
"1"
],
[
"18",
"Uganda",
"0",
"0",
"1",
"1"
],
[
"18",
"Namibia",
"0",
"0",
"1",
"1"
],
[
"18",
"Ivory Coast",
"0",
"0",
"1",
"1"
]
]
| [
"13"
]
| how many gold medals does nigeria have? || |
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 : 8 | cameroon | 1 | 4 | 1 | 6 row 9 : 9 | egypt | 1 | 1 | 2 | 4 row 10 : 10 | mauritius | 1 | 0 | 1 | 2 row 11 : 11 | mozambique | 1 | 0 | 0 | 1 row 12 : 12 | algeria | 0 | 8 | 1 | 9 row 13 : 13 | madagascar | 0 | 2 | 1 | 3 row 14 : 14 | zimbabwe | 0 | 1 | 1 | 2 row 15 : 15 | tanzania | 0 | 1 | 0 | 1 row 16 : 15 | togo | 0 | 1 | 0 | 1 row 17 : 15 | burkina faso | 0 | 1 | 0 | 1 row 18 : 18 | central african republic | 0 | 0 | 1 | 1 row 19 : 18 | uganda | 0 | 0 | 1 | 1 row 20 : 18 | namibia | 0 | 0 | 1 | 1 row 21 : 18 | ivory coast | 0 | 0 | 1 | 1 | table_csv/203_61.csv | 1 | {
"column_index": [
1
],
"row_index": [
0
]
} | [
"how many gold medals does nigeria have?",
"which nation has the most gold medals?"
]
| 1 | nigeria | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
]
| which nation has the most gold 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",
"2",
"1",
"5"
],
[
"6",
"Senegal",
"2",
"1",
"3",
"6"
],
[
"7",
"Ghana",
"2",
"0",
"4",
"6"
],
[
"8",
"Cameroon",
"1",
"4",
"1",
"6"
],
[
"9",
"Egypt",
"1",
"1",
"2",
"4"
],
[
"10",
"Mauritius",
"1",
"0",
"1",
"2"
],
[
"11",
"Mozambique",
"1",
"0",
"0",
"1"
],
[
"12",
"Algeria",
"0",
"8",
"1",
"9"
],
[
"13",
"Madagascar",
"0",
"2",
"1",
"3"
],
[
"14",
"Zimbabwe",
"0",
"1",
"1",
"2"
],
[
"15",
"Tanzania",
"0",
"1",
"0",
"1"
],
[
"15",
"Togo",
"0",
"1",
"0",
"1"
],
[
"15",
"Burkina Faso",
"0",
"1",
"0",
"1"
],
[
"18",
"Central African Republic",
"0",
"0",
"1",
"1"
],
[
"18",
"Uganda",
"0",
"0",
"1",
"1"
],
[
"18",
"Namibia",
"0",
"0",
"1",
"1"
],
[
"18",
"Ivory Coast",
"0",
"0",
"1",
"1"
]
]
| [
"Nigeria"
]
| which nation has the most gold medals? || how many gold medals does nigeria have? |
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 : 8 | cameroon | 1 | 4 | 1 | 6 row 9 : 9 | egypt | 1 | 1 | 2 | 4 row 10 : 10 | mauritius | 1 | 0 | 1 | 2 row 11 : 11 | mozambique | 1 | 0 | 0 | 1 row 12 : 12 | algeria | 0 | 8 | 1 | 9 row 13 : 13 | madagascar | 0 | 2 | 1 | 3 row 14 : 14 | zimbabwe | 0 | 1 | 1 | 2 row 15 : 15 | tanzania | 0 | 1 | 0 | 1 row 16 : 15 | togo | 0 | 1 | 0 | 1 row 17 : 15 | burkina faso | 0 | 1 | 0 | 1 row 18 : 18 | central african republic | 0 | 0 | 1 | 1 row 19 : 18 | uganda | 0 | 0 | 1 | 1 row 20 : 18 | namibia | 0 | 0 | 1 | 1 row 21 : 18 | ivory coast | 0 | 0 | 1 | 1 | table_csv/203_61.csv | 2 | {
"column_index": [
1
],
"row_index": [
1
]
} | [
"how many gold medals does nigeria have?",
"which nation has the most gold medals?",
"which nation has the most total medals?"
]
| 1 | south africa | [
"Rank",
"Nation",
"Gold",
"Silver",
"Bronze",
"Total"
]
| which nation has the most total 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",
"2",
"1",
"5"
],
[
"6",
"Senegal",
"2",
"1",
"3",
"6"
],
[
"7",
"Ghana",
"2",
"0",
"4",
"6"
],
[
"8",
"Cameroon",
"1",
"4",
"1",
"6"
],
[
"9",
"Egypt",
"1",
"1",
"2",
"4"
],
[
"10",
"Mauritius",
"1",
"0",
"1",
"2"
],
[
"11",
"Mozambique",
"1",
"0",
"0",
"1"
],
[
"12",
"Algeria",
"0",
"8",
"1",
"9"
],
[
"13",
"Madagascar",
"0",
"2",
"1",
"3"
],
[
"14",
"Zimbabwe",
"0",
"1",
"1",
"2"
],
[
"15",
"Tanzania",
"0",
"1",
"0",
"1"
],
[
"15",
"Togo",
"0",
"1",
"0",
"1"
],
[
"15",
"Burkina Faso",
"0",
"1",
"0",
"1"
],
[
"18",
"Central African Republic",
"0",
"0",
"1",
"1"
],
[
"18",
"Uganda",
"0",
"0",
"1",
"1"
],
[
"18",
"Namibia",
"0",
"0",
"1",
"1"
],
[
"18",
"Ivory Coast",
"0",
"0",
"1",
"1"
]
]
| [
"South Africa"
]
| which nation has the most total medals? || which nation has the most gold medals? | how many gold medals does nigeria have? |
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 : 8 | cameroon | 1 | 4 | 1 | 6 row 9 : 9 | egypt | 1 | 1 | 2 | 4 row 10 : 10 | mauritius | 1 | 0 | 1 | 2 row 11 : 11 | mozambique | 1 | 0 | 0 | 1 row 12 : 12 | algeria | 0 | 8 | 1 | 9 row 13 : 13 | madagascar | 0 | 2 | 1 | 3 row 14 : 14 | zimbabwe | 0 | 1 | 1 | 2 row 15 : 15 | tanzania | 0 | 1 | 0 | 1 row 16 : 15 | togo | 0 | 1 | 0 | 1 row 17 : 15 | burkina faso | 0 | 1 | 0 | 1 row 18 : 18 | central african republic | 0 | 0 | 1 | 1 row 19 : 18 | uganda | 0 | 0 | 1 | 1 row 20 : 18 | namibia | 0 | 0 | 1 | 1 row 21 : 18 | ivory coast | 0 | 0 | 1 | 1 | table_csv/203_61.csv | 0 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20
]
} | [
"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",
"2",
"1",
"5"
],
[
"6",
"Senegal",
"2",
"1",
"3",
"6"
],
[
"7",
"Ghana",
"2",
"0",
"4",
"6"
],
[
"8",
"Cameroon",
"1",
"4",
"1",
"6"
],
[
"9",
"Egypt",
"1",
"1",
"2",
"4"
],
[
"10",
"Mauritius",
"1",
"0",
"1",
"2"
],
[
"11",
"Mozambique",
"1",
"0",
"0",
"1"
],
[
"12",
"Algeria",
"0",
"8",
"1",
"9"
],
[
"13",
"Madagascar",
"0",
"2",
"1",
"3"
],
[
"14",
"Zimbabwe",
"0",
"1",
"1",
"2"
],
[
"15",
"Tanzania",
"0",
"1",
"0",
"1"
],
[
"15",
"Togo",
"0",
"1",
"0",
"1"
],
[
"15",
"Burkina Faso",
"0",
"1",
"0",
"1"
],
[
"18",
"Central African Republic",
"0",
"0",
"1",
"1"
],
[
"18",
"Uganda",
"0",
"0",
"1",
"1"
],
[
"18",
"Namibia",
"0",
"0",
"1",
"1"
],
[
"18",
"Ivory Coast",
"0",
"0",
"1",
"1"
]
]
| [
"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 : 8 | cameroon | 1 | 4 | 1 | 6 row 9 : 9 | egypt | 1 | 1 | 2 | 4 row 10 : 10 | mauritius | 1 | 0 | 1 | 2 row 11 : 11 | mozambique | 1 | 0 | 0 | 1 row 12 : 12 | algeria | 0 | 8 | 1 | 9 row 13 : 13 | madagascar | 0 | 2 | 1 | 3 row 14 : 14 | zimbabwe | 0 | 1 | 1 | 2 row 15 : 15 | tanzania | 0 | 1 | 0 | 1 row 16 : 15 | togo | 0 | 1 | 0 | 1 row 17 : 15 | burkina faso | 0 | 1 | 0 | 1 row 18 : 18 | central african republic | 0 | 0 | 1 | 1 row 19 : 18 | uganda | 0 | 0 | 1 | 1 row 20 : 18 | namibia | 0 | 0 | 1 | 1 row 21 : 18 | ivory coast | 0 | 0 | 1 | 1 | 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",
"2",
"1",
"5"
],
[
"6",
"Senegal",
"2",
"1",
"3",
"6"
],
[
"7",
"Ghana",
"2",
"0",
"4",
"6"
],
[
"8",
"Cameroon",
"1",
"4",
"1",
"6"
],
[
"9",
"Egypt",
"1",
"1",
"2",
"4"
],
[
"10",
"Mauritius",
"1",
"0",
"1",
"2"
],
[
"11",
"Mozambique",
"1",
"0",
"0",
"1"
],
[
"12",
"Algeria",
"0",
"8",
"1",
"9"
],
[
"13",
"Madagascar",
"0",
"2",
"1",
"3"
],
[
"14",
"Zimbabwe",
"0",
"1",
"1",
"2"
],
[
"15",
"Tanzania",
"0",
"1",
"0",
"1"
],
[
"15",
"Togo",
"0",
"1",
"0",
"1"
],
[
"15",
"Burkina Faso",
"0",
"1",
"0",
"1"
],
[
"18",
"Central African Republic",
"0",
"0",
"1",
"1"
],
[
"18",
"Uganda",
"0",
"0",
"1",
"1"
],
[
"18",
"Namibia",
"0",
"0",
"1",
"1"
],
[
"18",
"Ivory Coast",
"0",
"0",
"1",
"1"
]
]
| [
"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",
"0",
"3",
"3"
],
[
"5",
"Thailand",
"0",
"0",
"3",
"3"
],
[
"Total",
"Total",
"9",
"9",
"9",
"27"
]
]
| [
"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",
"0",
"3",
"3"
],
[
"5",
"Thailand",
"0",
"0",
"3",
"3"
],
[
"Total",
"Total",
"9",
"9",
"9",
"27"
]
]
| [
"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",
"0",
"3",
"3"
],
[
"5",
"Thailand",
"0",
"0",
"3",
"3"
],
[
"Total",
"Total",
"9",
"9",
"9",
"27"
]
]
| [
"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",
"0",
"3",
"3"
],
[
"5",
"Thailand",
"0",
"0",
"3",
"3"
],
[
"Total",
"Total",
"9",
"9",
"9",
"27"
]
]
| [
"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",
"0",
"3",
"3"
],
[
"5",
"Thailand",
"0",
"0",
"3",
"3"
],
[
"Total",
"Total",
"9",
"9",
"9",
"27"
]
]
| [
"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",
"0",
"3",
"3"
],
[
"5",
"Thailand",
"0",
"0",
"3",
"3"
],
[
"Total",
"Total",
"9",
"9",
"9",
"27"
]
]
| [
"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",
"0",
"3",
"3"
],
[
"5",
"Thailand",
"0",
"0",
"3",
"3"
],
[
"Total",
"Total",
"9",
"9",
"9",
"27"
]
]
| [
"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",
"0",
"3",
"3"
],
[
"5",
"Thailand",
"0",
"0",
"3",
"3"
],
[
"Total",
"Total",
"9",
"9",
"9",
"27"
]
]
| [
"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 42-17 | 24,200 row 5 : 5 | october 28, 1956 | detroit lions | l 16-7 | 76,758 row 6 : 6 | november 4, 1956 | chicago bears | l 35-24 | 69,894 row 7 : 7 | november 11, 1956 | san francisco 49ers | w 30-6 | 69,828 row 8 : 8 | november 18, 1956 | at chicago bears | l 30-21 | 48,102 row 9 : 9 | november 25, 1956 | at baltimore colts | l 56-21 | 40,321 row 10 : 10 | december 2, 1956 | at pittsburgh steelers | l 30-13 | 20,450 row 11 : 11 | december 9, 1956 | baltimore colts | w 31-7 | 51,037 row 12 : 12 | december 16, 1956 | green bay packers | w 49-21 | 45,209 | 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 21, 1956",
"at Green Bay Packers",
"L 42-17",
"24,200"
],
[
"5",
"October 28, 1956",
"Detroit Lions",
"L 16-7",
"76,758"
],
[
"6",
"November 4, 1956",
"Chicago Bears",
"L 35-24",
"69,894"
],
[
"7",
"November 11, 1956",
"San Francisco 49ers",
"W 30-6",
"69,828"
],
[
"8",
"November 18, 1956",
"at Chicago Bears",
"L 30-21",
"48,102"
],
[
"9",
"November 25, 1956",
"at Baltimore Colts",
"L 56-21",
"40,321"
],
[
"10",
"December 2, 1956",
"at Pittsburgh Steelers",
"L 30-13",
"20,450"
],
[
"11",
"December 9, 1956",
"Baltimore Colts",
"W 31-7",
"51,037"
],
[
"12",
"December 16, 1956",
"Green Bay Packers",
"W 49-21",
"45,209"
]
]
| [
"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 42-17 | 24,200 row 5 : 5 | october 28, 1956 | detroit lions | l 16-7 | 76,758 row 6 : 6 | november 4, 1956 | chicago bears | l 35-24 | 69,894 row 7 : 7 | november 11, 1956 | san francisco 49ers | w 30-6 | 69,828 row 8 : 8 | november 18, 1956 | at chicago bears | l 30-21 | 48,102 row 9 : 9 | november 25, 1956 | at baltimore colts | l 56-21 | 40,321 row 10 : 10 | december 2, 1956 | at pittsburgh steelers | l 30-13 | 20,450 row 11 : 11 | december 9, 1956 | baltimore colts | w 31-7 | 51,037 row 12 : 12 | december 16, 1956 | green bay packers | w 49-21 | 45,209 | 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 21, 1956",
"at Green Bay Packers",
"L 42-17",
"24,200"
],
[
"5",
"October 28, 1956",
"Detroit Lions",
"L 16-7",
"76,758"
],
[
"6",
"November 4, 1956",
"Chicago Bears",
"L 35-24",
"69,894"
],
[
"7",
"November 11, 1956",
"San Francisco 49ers",
"W 30-6",
"69,828"
],
[
"8",
"November 18, 1956",
"at Chicago Bears",
"L 30-21",
"48,102"
],
[
"9",
"November 25, 1956",
"at Baltimore Colts",
"L 56-21",
"40,321"
],
[
"10",
"December 2, 1956",
"at Pittsburgh Steelers",
"L 30-13",
"20,450"
],
[
"11",
"December 9, 1956",
"Baltimore Colts",
"W 31-7",
"51,037"
],
[
"12",
"December 16, 1956",
"Green Bay Packers",
"W 49-21",
"45,209"
]
]
| [
"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 42-17 | 24,200 row 5 : 5 | october 28, 1956 | detroit lions | l 16-7 | 76,758 row 6 : 6 | november 4, 1956 | chicago bears | l 35-24 | 69,894 row 7 : 7 | november 11, 1956 | san francisco 49ers | w 30-6 | 69,828 row 8 : 8 | november 18, 1956 | at chicago bears | l 30-21 | 48,102 row 9 : 9 | november 25, 1956 | at baltimore colts | l 56-21 | 40,321 row 10 : 10 | december 2, 1956 | at pittsburgh steelers | l 30-13 | 20,450 row 11 : 11 | december 9, 1956 | baltimore colts | w 31-7 | 51,037 row 12 : 12 | december 16, 1956 | green bay packers | w 49-21 | 45,209 | 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 21, 1956",
"at Green Bay Packers",
"L 42-17",
"24,200"
],
[
"5",
"October 28, 1956",
"Detroit Lions",
"L 16-7",
"76,758"
],
[
"6",
"November 4, 1956",
"Chicago Bears",
"L 35-24",
"69,894"
],
[
"7",
"November 11, 1956",
"San Francisco 49ers",
"W 30-6",
"69,828"
],
[
"8",
"November 18, 1956",
"at Chicago Bears",
"L 30-21",
"48,102"
],
[
"9",
"November 25, 1956",
"at Baltimore Colts",
"L 56-21",
"40,321"
],
[
"10",
"December 2, 1956",
"at Pittsburgh Steelers",
"L 30-13",
"20,450"
],
[
"11",
"December 9, 1956",
"Baltimore Colts",
"W 31-7",
"51,037"
],
[
"12",
"December 16, 1956",
"Green Bay Packers",
"W 49-21",
"45,209"
]
]
| [
"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 42-17 | 24,200 row 5 : 5 | october 28, 1956 | detroit lions | l 16-7 | 76,758 row 6 : 6 | november 4, 1956 | chicago bears | l 35-24 | 69,894 row 7 : 7 | november 11, 1956 | san francisco 49ers | w 30-6 | 69,828 row 8 : 8 | november 18, 1956 | at chicago bears | l 30-21 | 48,102 row 9 : 9 | november 25, 1956 | at baltimore colts | l 56-21 | 40,321 row 10 : 10 | december 2, 1956 | at pittsburgh steelers | l 30-13 | 20,450 row 11 : 11 | december 9, 1956 | baltimore colts | w 31-7 | 51,037 row 12 : 12 | december 16, 1956 | green bay packers | w 49-21 | 45,209 | 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 21, 1956",
"at Green Bay Packers",
"L 42-17",
"24,200"
],
[
"5",
"October 28, 1956",
"Detroit Lions",
"L 16-7",
"76,758"
],
[
"6",
"November 4, 1956",
"Chicago Bears",
"L 35-24",
"69,894"
],
[
"7",
"November 11, 1956",
"San Francisco 49ers",
"W 30-6",
"69,828"
],
[
"8",
"November 18, 1956",
"at Chicago Bears",
"L 30-21",
"48,102"
],
[
"9",
"November 25, 1956",
"at Baltimore Colts",
"L 56-21",
"40,321"
],
[
"10",
"December 2, 1956",
"at Pittsburgh Steelers",
"L 30-13",
"20,450"
],
[
"11",
"December 9, 1956",
"Baltimore Colts",
"W 31-7",
"51,037"
],
[
"12",
"December 16, 1956",
"Green Bay Packers",
"W 49-21",
"45,209"
]
]
| [
"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 42-17 | 24,200 row 5 : 5 | october 28, 1956 | detroit lions | l 16-7 | 76,758 row 6 : 6 | november 4, 1956 | chicago bears | l 35-24 | 69,894 row 7 : 7 | november 11, 1956 | san francisco 49ers | w 30-6 | 69,828 row 8 : 8 | november 18, 1956 | at chicago bears | l 30-21 | 48,102 row 9 : 9 | november 25, 1956 | at baltimore colts | l 56-21 | 40,321 row 10 : 10 | december 2, 1956 | at pittsburgh steelers | l 30-13 | 20,450 row 11 : 11 | december 9, 1956 | baltimore colts | w 31-7 | 51,037 row 12 : 12 | december 16, 1956 | green bay packers | w 49-21 | 45,209 | 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 21, 1956",
"at Green Bay Packers",
"L 42-17",
"24,200"
],
[
"5",
"October 28, 1956",
"Detroit Lions",
"L 16-7",
"76,758"
],
[
"6",
"November 4, 1956",
"Chicago Bears",
"L 35-24",
"69,894"
],
[
"7",
"November 11, 1956",
"San Francisco 49ers",
"W 30-6",
"69,828"
],
[
"8",
"November 18, 1956",
"at Chicago Bears",
"L 30-21",
"48,102"
],
[
"9",
"November 25, 1956",
"at Baltimore Colts",
"L 56-21",
"40,321"
],
[
"10",
"December 2, 1956",
"at Pittsburgh Steelers",
"L 30-13",
"20,450"
],
[
"11",
"December 9, 1956",
"Baltimore Colts",
"W 31-7",
"51,037"
],
[
"12",
"December 16, 1956",
"Green Bay Packers",
"W 49-21",
"45,209"
]
]
| [
"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 42-17 | 24,200 row 5 : 5 | october 28, 1956 | detroit lions | l 16-7 | 76,758 row 6 : 6 | november 4, 1956 | chicago bears | l 35-24 | 69,894 row 7 : 7 | november 11, 1956 | san francisco 49ers | w 30-6 | 69,828 row 8 : 8 | november 18, 1956 | at chicago bears | l 30-21 | 48,102 row 9 : 9 | november 25, 1956 | at baltimore colts | l 56-21 | 40,321 row 10 : 10 | december 2, 1956 | at pittsburgh steelers | l 30-13 | 20,450 row 11 : 11 | december 9, 1956 | baltimore colts | w 31-7 | 51,037 row 12 : 12 | december 16, 1956 | green bay packers | w 49-21 | 45,209 | 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 21, 1956",
"at Green Bay Packers",
"L 42-17",
"24,200"
],
[
"5",
"October 28, 1956",
"Detroit Lions",
"L 16-7",
"76,758"
],
[
"6",
"November 4, 1956",
"Chicago Bears",
"L 35-24",
"69,894"
],
[
"7",
"November 11, 1956",
"San Francisco 49ers",
"W 30-6",
"69,828"
],
[
"8",
"November 18, 1956",
"at Chicago Bears",
"L 30-21",
"48,102"
],
[
"9",
"November 25, 1956",
"at Baltimore Colts",
"L 56-21",
"40,321"
],
[
"10",
"December 2, 1956",
"at Pittsburgh Steelers",
"L 30-13",
"20,450"
],
[
"11",
"December 9, 1956",
"Baltimore Colts",
"W 31-7",
"51,037"
],
[
"12",
"December 16, 1956",
"Green Bay Packers",
"W 49-21",
"45,209"
]
]
| [
"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 42-17 | 24,200 row 5 : 5 | october 28, 1956 | detroit lions | l 16-7 | 76,758 row 6 : 6 | november 4, 1956 | chicago bears | l 35-24 | 69,894 row 7 : 7 | november 11, 1956 | san francisco 49ers | w 30-6 | 69,828 row 8 : 8 | november 18, 1956 | at chicago bears | l 30-21 | 48,102 row 9 : 9 | november 25, 1956 | at baltimore colts | l 56-21 | 40,321 row 10 : 10 | december 2, 1956 | at pittsburgh steelers | l 30-13 | 20,450 row 11 : 11 | december 9, 1956 | baltimore colts | w 31-7 | 51,037 row 12 : 12 | december 16, 1956 | green bay packers | w 49-21 | 45,209 | 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",
"Attendance"
]
| on what day was this? | [
[
"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 21, 1956",
"at Green Bay Packers",
"L 42-17",
"24,200"
],
[
"5",
"October 28, 1956",
"Detroit Lions",
"L 16-7",
"76,758"
],
[
"6",
"November 4, 1956",
"Chicago Bears",
"L 35-24",
"69,894"
],
[
"7",
"November 11, 1956",
"San Francisco 49ers",
"W 30-6",
"69,828"
],
[
"8",
"November 18, 1956",
"at Chicago Bears",
"L 30-21",
"48,102"
],
[
"9",
"November 25, 1956",
"at Baltimore Colts",
"L 56-21",
"40,321"
],
[
"10",
"December 2, 1956",
"at Pittsburgh Steelers",
"L 30-13",
"20,450"
],
[
"11",
"December 9, 1956",
"Baltimore Colts",
"W 31-7",
"51,037"
],
[
"12",
"December 16, 1956",
"Green Bay Packers",
"W 49-21",
"45,209"
]
]
| [
"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 42-17 | 24,200 row 5 : 5 | october 28, 1956 | detroit lions | l 16-7 | 76,758 row 6 : 6 | november 4, 1956 | chicago bears | l 35-24 | 69,894 row 7 : 7 | november 11, 1956 | san francisco 49ers | w 30-6 | 69,828 row 8 : 8 | november 18, 1956 | at chicago bears | l 30-21 | 48,102 row 9 : 9 | november 25, 1956 | at baltimore colts | l 56-21 | 40,321 row 10 : 10 | december 2, 1956 | at pittsburgh steelers | l 30-13 | 20,450 row 11 : 11 | december 9, 1956 | baltimore colts | w 31-7 | 51,037 row 12 : 12 | december 16, 1956 | green bay packers | w 49-21 | 45,209 | 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 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 | [
"Week",
"Date",
"Opponent",
"Result",
"Attendance"
]
| what are all the dates a game was played on? | [
[
"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 21, 1956",
"at Green Bay Packers",
"L 42-17",
"24,200"
],
[
"5",
"October 28, 1956",
"Detroit Lions",
"L 16-7",
"76,758"
],
[
"6",
"November 4, 1956",
"Chicago Bears",
"L 35-24",
"69,894"
],
[
"7",
"November 11, 1956",
"San Francisco 49ers",
"W 30-6",
"69,828"
],
[
"8",
"November 18, 1956",
"at Chicago Bears",
"L 30-21",
"48,102"
],
[
"9",
"November 25, 1956",
"at Baltimore Colts",
"L 56-21",
"40,321"
],
[
"10",
"December 2, 1956",
"at Pittsburgh Steelers",
"L 30-13",
"20,450"
],
[
"11",
"December 9, 1956",
"Baltimore Colts",
"W 31-7",
"51,037"
],
[
"12",
"December 16, 1956",
"Green Bay Packers",
"W 49-21",
"45,209"
]
]
| [
"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 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 42-17 | 24,200 row 5 : 5 | october 28, 1956 | detroit lions | l 16-7 | 76,758 row 6 : 6 | november 4, 1956 | chicago bears | l 35-24 | 69,894 row 7 : 7 | november 11, 1956 | san francisco 49ers | w 30-6 | 69,828 row 8 : 8 | november 18, 1956 | at chicago bears | l 30-21 | 48,102 row 9 : 9 | november 25, 1956 | at baltimore colts | l 56-21 | 40,321 row 10 : 10 | december 2, 1956 | at pittsburgh steelers | l 30-13 | 20,450 row 11 : 11 | december 9, 1956 | baltimore colts | w 31-7 | 51,037 row 12 : 12 | december 16, 1956 | green bay packers | w 49-21 | 45,209 | 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
]
} | [
"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 | [
"Week",
"Date",
"Opponent",
"Result",
"Attendance"
]
| what are all the attendance figures for the season? | [
[
"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 21, 1956",
"at Green Bay Packers",
"L 42-17",
"24,200"
],
[
"5",
"October 28, 1956",
"Detroit Lions",
"L 16-7",
"76,758"
],
[
"6",
"November 4, 1956",
"Chicago Bears",
"L 35-24",
"69,894"
],
[
"7",
"November 11, 1956",
"San Francisco 49ers",
"W 30-6",
"69,828"
],
[
"8",
"November 18, 1956",
"at Chicago Bears",
"L 30-21",
"48,102"
],
[
"9",
"November 25, 1956",
"at Baltimore Colts",
"L 56-21",
"40,321"
],
[
"10",
"December 2, 1956",
"at Pittsburgh Steelers",
"L 30-13",
"20,450"
],
[
"11",
"December 9, 1956",
"Baltimore Colts",
"W 31-7",
"51,037"
],
[
"12",
"December 16, 1956",
"Green Bay Packers",
"W 49-21",
"45,209"
]
]
| [
"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 are all the attendance figures for the season? || 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 42-17 | 24,200 row 5 : 5 | october 28, 1956 | detroit lions | l 16-7 | 76,758 row 6 : 6 | november 4, 1956 | chicago bears | l 35-24 | 69,894 row 7 : 7 | november 11, 1956 | san francisco 49ers | w 30-6 | 69,828 row 8 : 8 | november 18, 1956 | at chicago bears | l 30-21 | 48,102 row 9 : 9 | november 25, 1956 | at baltimore colts | l 56-21 | 40,321 row 10 : 10 | december 2, 1956 | at pittsburgh steelers | l 30-13 | 20,450 row 11 : 11 | december 9, 1956 | baltimore colts | w 31-7 | 51,037 row 12 : 12 | december 16, 1956 | green bay packers | w 49-21 | 45,209 | table_csv/203_478.csv | 2 | {
"column_index": [
1
],
"row_index": [
9
]
} | [
"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",
"Attendance"
]
| on which date were there just slightly more than 20,000 in 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 21, 1956",
"at Green Bay Packers",
"L 42-17",
"24,200"
],
[
"5",
"October 28, 1956",
"Detroit Lions",
"L 16-7",
"76,758"
],
[
"6",
"November 4, 1956",
"Chicago Bears",
"L 35-24",
"69,894"
],
[
"7",
"November 11, 1956",
"San Francisco 49ers",
"W 30-6",
"69,828"
],
[
"8",
"November 18, 1956",
"at Chicago Bears",
"L 30-21",
"48,102"
],
[
"9",
"November 25, 1956",
"at Baltimore Colts",
"L 56-21",
"40,321"
],
[
"10",
"December 2, 1956",
"at Pittsburgh Steelers",
"L 30-13",
"20,450"
],
[
"11",
"December 9, 1956",
"Baltimore Colts",
"W 31-7",
"51,037"
],
[
"12",
"December 16, 1956",
"Green Bay Packers",
"W 49-21",
"45,209"
]
]
| [
"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? |
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 europe by play it as 1945 i & ii row 4 : psikyo shooting collection vol. 2: sengoku | 2004 | playstation 2 | nan | nan row 5 : psikyo shooting collection vol. 3: sol divide | 2004 | playstation 2 | nan | nan row 6 : taisen hot gimmick: cosplay mahjong | 2004 | playstation 2 | nan | nan row 7 : sengoku cannon | 2005 | nan | psp | nan row 8 : taisen hot gimmick: axes-jong | 2005 | playstation 2 | nan | nan | table_csv/203_583.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"what are all of the game titles?"
]
| 0 | buggy grand prix: kattobi! dai-sakus, gunbird special edition / gunbird 1&2, psikyo shooting collection vol. 1: strikers, psikyo shooting collection vol. 2: sengoku, psikyo shooting collection vol. 3: sol divide, taisen hot gimmick: cosplay mahjong, sengoku cannon, taisen hot gimmick: axes-jong | [
"Title",
"Release",
"6th Gen",
"Handheld",
"Note"
]
| what are all of the game titles? | [
[
"Buggy Grand Prix: Kattobi! Dai-Sakus",
"2003",
"PlayStation 2",
"nan",
"nan"
],
[
"Gunbird Special Edition / Gunbird 1&2",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 1: Strikers",
"2004",
"PlayStation 2",
"nan",
"Released and published in Europe by Play It as 1945 I & II"
],
[
"Psikyo Shooting Collection Vol. 2: Sengoku",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 3: Sol Divide",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Taisen Hot Gimmick: Cosplay Mahjong",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Sengoku Cannon",
"2005",
"nan",
"PSP",
"nan"
],
[
"Taisen Hot Gimmick: Axes-Jong",
"2005",
"PlayStation 2",
"nan",
"nan"
]
]
| [
"Buggy Grand Prix: Kattobi! Dai-Sakus",
"Gunbird Special Edition / Gunbird 1&2",
"Psikyo Shooting Collection Vol. 1: Strikers",
"Psikyo Shooting Collection Vol. 2: Sengoku",
"Psikyo Shooting Collection Vol. 3: Sol Divide",
"Taisen Hot Gimmick: Cosplay Mahjong",
"Sengoku Cannon",
"Taisen Hot Gimmick: Axes-Jong"
]
| 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 europe by play it as 1945 i & ii row 4 : psikyo shooting collection vol. 2: sengoku | 2004 | playstation 2 | nan | nan row 5 : psikyo shooting collection vol. 3: sol divide | 2004 | playstation 2 | nan | nan row 6 : taisen hot gimmick: cosplay mahjong | 2004 | playstation 2 | nan | nan row 7 : sengoku cannon | 2005 | nan | psp | nan row 8 : taisen hot gimmick: axes-jong | 2005 | playstation 2 | nan | nan | table_csv/203_583.csv | 1 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"what are all of the game titles?",
"what are all of the release dates?"
]
| 0 | 2003, 2004, 2004, 2004, 2004, 2004, 2005, 2005 | [
"Title",
"Release",
"6th Gen",
"Handheld",
"Note"
]
| what are all of the release dates? | [
[
"Buggy Grand Prix: Kattobi! Dai-Sakus",
"2003",
"PlayStation 2",
"nan",
"nan"
],
[
"Gunbird Special Edition / Gunbird 1&2",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 1: Strikers",
"2004",
"PlayStation 2",
"nan",
"Released and published in Europe by Play It as 1945 I & II"
],
[
"Psikyo Shooting Collection Vol. 2: Sengoku",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 3: Sol Divide",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Taisen Hot Gimmick: Cosplay Mahjong",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Sengoku Cannon",
"2005",
"nan",
"PSP",
"nan"
],
[
"Taisen Hot Gimmick: Axes-Jong",
"2005",
"PlayStation 2",
"nan",
"nan"
]
]
| [
"2003",
"2004",
"2004",
"2004",
"2004",
"2004",
"2005",
"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 europe by play it as 1945 i & ii row 4 : psikyo shooting collection vol. 2: sengoku | 2004 | playstation 2 | nan | nan row 5 : psikyo shooting collection vol. 3: sol divide | 2004 | playstation 2 | nan | nan row 6 : taisen hot gimmick: cosplay mahjong | 2004 | playstation 2 | nan | nan row 7 : sengoku cannon | 2005 | nan | psp | nan row 8 : taisen hot gimmick: axes-jong | 2005 | playstation 2 | nan | nan | table_csv/203_583.csv | 2 | {
"column_index": [
0
],
"row_index": [
0
]
} | [
"what are all of the game titles?",
"what are all of the release dates?",
"what game title wasn't released in 2004 or 2005?"
]
| 0 | buggy grand prix: kattobi! dai-sakus | [
"Title",
"Release",
"6th Gen",
"Handheld",
"Note"
]
| what game title wasn't released in 2004 or 2005? | [
[
"Buggy Grand Prix: Kattobi! Dai-Sakus",
"2003",
"PlayStation 2",
"nan",
"nan"
],
[
"Gunbird Special Edition / Gunbird 1&2",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 1: Strikers",
"2004",
"PlayStation 2",
"nan",
"Released and published in Europe by Play It as 1945 I & II"
],
[
"Psikyo Shooting Collection Vol. 2: Sengoku",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 3: Sol Divide",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Taisen Hot Gimmick: Cosplay Mahjong",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Sengoku Cannon",
"2005",
"nan",
"PSP",
"nan"
],
[
"Taisen Hot Gimmick: Axes-Jong",
"2005",
"PlayStation 2",
"nan",
"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 europe by play it as 1945 i & ii row 4 : psikyo shooting collection vol. 2: sengoku | 2004 | playstation 2 | nan | nan row 5 : psikyo shooting collection vol. 3: sol divide | 2004 | playstation 2 | nan | nan row 6 : taisen hot gimmick: cosplay mahjong | 2004 | playstation 2 | nan | nan row 7 : sengoku cannon | 2005 | nan | psp | nan row 8 : taisen hot gimmick: axes-jong | 2005 | playstation 2 | nan | nan | table_csv/203_583.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"what are the titles 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",
"PlayStation 2",
"nan",
"nan"
],
[
"Gunbird Special Edition / Gunbird 1&2",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 1: Strikers",
"2004",
"PlayStation 2",
"nan",
"Released and published in Europe by Play It as 1945 I & II"
],
[
"Psikyo Shooting Collection Vol. 2: Sengoku",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 3: Sol Divide",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Taisen Hot Gimmick: Cosplay Mahjong",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Sengoku Cannon",
"2005",
"nan",
"PSP",
"nan"
],
[
"Taisen Hot Gimmick: Axes-Jong",
"2005",
"PlayStation 2",
"nan",
"nan"
]
]
| [
"Buggy Grand Prix: Kattobi! Dai-Sakus",
"Gunbird Special Edition / Gunbird 1&2",
"Psikyo Shooting Collection Vol. 1: Strikers",
"Psikyo Shooting Collection Vol. 2: Sengoku",
"Psikyo Shooting Collection Vol. 3: Sol Divide",
"Taisen Hot Gimmick: Cosplay Mahjong",
"Sengoku Cannon",
"Taisen Hot Gimmick: Axes-Jong"
]
| 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 europe by play it as 1945 i & ii row 4 : psikyo shooting collection vol. 2: sengoku | 2004 | playstation 2 | nan | nan row 5 : psikyo shooting collection vol. 3: sol divide | 2004 | playstation 2 | nan | nan row 6 : taisen hot gimmick: cosplay mahjong | 2004 | playstation 2 | nan | nan row 7 : sengoku cannon | 2005 | nan | psp | nan row 8 : taisen hot gimmick: axes-jong | 2005 | playstation 2 | nan | nan | table_csv/203_583.csv | 1 | {
"column_index": [
0
],
"row_index": [
0
]
} | [
"what are the titles of the psikyo games?",
"which of these was released in 2003?"
]
| 1 | buggy grand prix: kattobi! dai-sakus | [
"Title",
"Release",
"6th Gen",
"Handheld",
"Note"
]
| which of these 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"
],
[
"Psikyo Shooting Collection Vol. 1: Strikers",
"2004",
"PlayStation 2",
"nan",
"Released and published in Europe by Play It as 1945 I & II"
],
[
"Psikyo Shooting Collection Vol. 2: Sengoku",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 3: Sol Divide",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Taisen Hot Gimmick: Cosplay Mahjong",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Sengoku Cannon",
"2005",
"nan",
"PSP",
"nan"
],
[
"Taisen Hot Gimmick: Axes-Jong",
"2005",
"PlayStation 2",
"nan",
"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 europe by play it as 1945 i & ii row 4 : psikyo shooting collection vol. 2: sengoku | 2004 | playstation 2 | nan | nan row 5 : psikyo shooting collection vol. 3: sol divide | 2004 | playstation 2 | nan | nan row 6 : taisen hot gimmick: cosplay mahjong | 2004 | playstation 2 | nan | nan row 7 : sengoku cannon | 2005 | nan | psp | nan row 8 : taisen hot gimmick: axes-jong | 2005 | playstation 2 | nan | nan | table_csv/203_583.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"what are all of the titles?"
]
| 2 | buggy grand prix: kattobi! dai-sakus, gunbird special edition / gunbird 1&2, psikyo shooting collection vol. 1: strikers, psikyo shooting collection vol. 2: sengoku, psikyo shooting collection vol. 3: sol divide, taisen hot gimmick: cosplay mahjong, sengoku cannon, taisen hot gimmick: axes-jong | [
"Title",
"Release",
"6th Gen",
"Handheld",
"Note"
]
| what are all of the titles? | [
[
"Buggy Grand Prix: Kattobi! Dai-Sakus",
"2003",
"PlayStation 2",
"nan",
"nan"
],
[
"Gunbird Special Edition / Gunbird 1&2",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 1: Strikers",
"2004",
"PlayStation 2",
"nan",
"Released and published in Europe by Play It as 1945 I & II"
],
[
"Psikyo Shooting Collection Vol. 2: Sengoku",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 3: Sol Divide",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Taisen Hot Gimmick: Cosplay Mahjong",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Sengoku Cannon",
"2005",
"nan",
"PSP",
"nan"
],
[
"Taisen Hot Gimmick: Axes-Jong",
"2005",
"PlayStation 2",
"nan",
"nan"
]
]
| [
"Buggy Grand Prix: Kattobi! Dai-Sakus",
"Gunbird Special Edition / Gunbird 1&2",
"Psikyo Shooting Collection Vol. 1: Strikers",
"Psikyo Shooting Collection Vol. 2: Sengoku",
"Psikyo Shooting Collection Vol. 3: Sol Divide",
"Taisen Hot Gimmick: Cosplay Mahjong",
"Sengoku Cannon",
"Taisen Hot Gimmick: Axes-Jong"
]
| 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 europe by play it as 1945 i & ii row 4 : psikyo shooting collection vol. 2: sengoku | 2004 | playstation 2 | nan | nan row 5 : psikyo shooting collection vol. 3: sol divide | 2004 | playstation 2 | nan | nan row 6 : taisen hot gimmick: cosplay mahjong | 2004 | playstation 2 | nan | nan row 7 : sengoku cannon | 2005 | nan | psp | nan row 8 : taisen hot gimmick: axes-jong | 2005 | playstation 2 | nan | nan | table_csv/203_583.csv | 1 | {
"column_index": [
1,
1,
1,
1,
1,
1,
1,
1
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7
]
} | [
"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"
],
[
"Gunbird Special Edition / Gunbird 1&2",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 1: Strikers",
"2004",
"PlayStation 2",
"nan",
"Released and published in Europe by Play It as 1945 I & II"
],
[
"Psikyo Shooting Collection Vol. 2: Sengoku",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 3: Sol Divide",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Taisen Hot Gimmick: Cosplay Mahjong",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Sengoku Cannon",
"2005",
"nan",
"PSP",
"nan"
],
[
"Taisen Hot Gimmick: Axes-Jong",
"2005",
"PlayStation 2",
"nan",
"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 europe by play it as 1945 i & ii row 4 : psikyo shooting collection vol. 2: sengoku | 2004 | playstation 2 | nan | nan row 5 : psikyo shooting collection vol. 3: sol divide | 2004 | playstation 2 | nan | nan row 6 : taisen hot gimmick: cosplay mahjong | 2004 | playstation 2 | nan | nan row 7 : sengoku cannon | 2005 | nan | psp | nan row 8 : taisen hot gimmick: axes-jong | 2005 | playstation 2 | nan | nan | table_csv/203_583.csv | 2 | {
"column_index": [
0
],
"row_index": [
0
]
} | [
"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"
],
[
"Psikyo Shooting Collection Vol. 1: Strikers",
"2004",
"PlayStation 2",
"nan",
"Released and published in Europe by Play It as 1945 I & II"
],
[
"Psikyo Shooting Collection Vol. 2: Sengoku",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Psikyo Shooting Collection Vol. 3: Sol Divide",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Taisen Hot Gimmick: Cosplay Mahjong",
"2004",
"PlayStation 2",
"nan",
"nan"
],
[
"Sengoku Cannon",
"2005",
"nan",
"PSP",
"nan"
],
[
"Taisen Hot Gimmick: Axes-Jong",
"2005",
"PlayStation 2",
"nan",
"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 : 1861 army revolver (old model army) | large | 1862 | .44 | 6,000 (estimated) | 8 inch octagon | nan row 4 : 1861 navy revolver | medium | 1862 | .36 | 7,000 (estimated) | 7 3/8 inch octagon | nan row 5 : new model army revolver | large | 1863-1875 | .44 | 122,000 (approximately) | 8 inch octagon | used for factory conversions in .46 rf & . row 6 : new model navy revolver | medium | 1863-1875 | .36 | 28,000 (approximately) | 7 3/8 inch octagon | used for factory and u.s. navy conversions to .38 row 7 : new model single action belt revolver | large | 1863-1875 | .36 percussion and .38 cf | 2,500 - 3,000 (estimated) | 6 1/2 inch octagon | factory conversion production started in 1873 row 8 : remington-rider double action new model belt revolver | large | 1863-1873 | .36 percussion and .38 cf | 3,000 - 5,000 (estimated) | 6 1/2 inch octagon | 1863-1865 available with fluted cylinder, conversions had two row 9 : new model police revolver | medium | 1865-1873 | .36 percussion and .38 rf | 25,000 (estimated) | 3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc | conversions all believed to be rimfire only row 10 : new model pocket revolver | medium | 1865-1873 | .31 percussion and .32 cf | 25,000 (estimated) | 3, 3 1/2, 4, 4 1/2 | majority produced as conversions or cartridge | table_csv/203_253.csv | 0 | {
"column_index": [
3
],
"row_index": [
9
]
} | [
"what is the lowest avaible caliber shown here?"
]
| 0 | .31 percussion and .32 cf | [
"Model",
"Frame",
"Years Mfg'd",
"Caliber(s)",
"Production",
"Barrel",
"Notes"
]
| what is the lowest avaible caliber shown here? | [
[
"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"
],
[
"1861 Army Revolver (Old Model Army)",
"Large",
"1862",
".44",
"6,000 (estimated)",
"8 inch octagon",
"nan"
],
[
"1861 Navy Revolver",
"Medium",
"1862",
".36",
"7,000 (estimated)",
"7 3/8 inch octagon",
"nan"
],
[
"New Model Army Revolver",
"Large",
"1863-1875",
".44",
"122,000 (approximately)",
"8 inch octagon",
"Used for factory conversions in .46 RF & ."
],
[
"New Model Navy Revolver",
"Medium",
"1863-1875",
".36",
"28,000 (approximately)",
"7 3/8 inch octagon",
"Used for factory and U.S. Navy conversions to .38"
],
[
"New Model Single Action Belt Revolver",
"Large",
"1863-1875",
".36 percussion and .38 CF",
"2,500 - 3,000 (estimated)",
"6 1/2 inch octagon",
"Factory conversion production started in 1873"
],
[
"Remington-Rider Double Action New Model Belt Revolver",
"Large",
"1863-1873",
".36 percussion and .38 CF",
"3,000 - 5,000 (estimated)",
"6 1/2 inch octagon",
"1863-1865 available with fluted cylinder, conversions had two"
],
[
"New Model Police Revolver",
"Medium",
"1865-1873",
".36 percussion and .38 RF",
"25,000 (estimated)",
"3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc",
"Conversions all believed to be rimfire only"
],
[
"New Model Pocket Revolver",
"Medium",
"1865-1873",
".31 percussion and .32 CF",
"25,000 (estimated)",
"3, 3 1/2, 4, 4 1/2",
"Majority produced as conversions or cartridge"
]
]
| [
".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 : 1861 army revolver (old model army) | large | 1862 | .44 | 6,000 (estimated) | 8 inch octagon | nan row 4 : 1861 navy revolver | medium | 1862 | .36 | 7,000 (estimated) | 7 3/8 inch octagon | nan row 5 : new model army revolver | large | 1863-1875 | .44 | 122,000 (approximately) | 8 inch octagon | used for factory conversions in .46 rf & . row 6 : new model navy revolver | medium | 1863-1875 | .36 | 28,000 (approximately) | 7 3/8 inch octagon | used for factory and u.s. navy conversions to .38 row 7 : new model single action belt revolver | large | 1863-1875 | .36 percussion and .38 cf | 2,500 - 3,000 (estimated) | 6 1/2 inch octagon | factory conversion production started in 1873 row 8 : remington-rider double action new model belt revolver | large | 1863-1873 | .36 percussion and .38 cf | 3,000 - 5,000 (estimated) | 6 1/2 inch octagon | 1863-1865 available with fluted cylinder, conversions had two row 9 : new model police revolver | medium | 1865-1873 | .36 percussion and .38 rf | 25,000 (estimated) | 3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc | conversions all believed to be rimfire only row 10 : new model pocket revolver | medium | 1865-1873 | .31 percussion and .32 cf | 25,000 (estimated) | 3, 3 1/2, 4, 4 1/2 | majority produced as conversions or cartridge | table_csv/203_253.csv | 1 | {
"column_index": [
0
],
"row_index": [
9
]
} | [
"what is the lowest avaible caliber shown here?",
"what model is available with .31 percussion and .32 cf?"
]
| 0 | new model pocket revolver | [
"Model",
"Frame",
"Years Mfg'd",
"Caliber(s)",
"Production",
"Barrel",
"Notes"
]
| what model is available with .31 percussion and .32 cf? | [
[
"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"
],
[
"1861 Army Revolver (Old Model Army)",
"Large",
"1862",
".44",
"6,000 (estimated)",
"8 inch octagon",
"nan"
],
[
"1861 Navy Revolver",
"Medium",
"1862",
".36",
"7,000 (estimated)",
"7 3/8 inch octagon",
"nan"
],
[
"New Model Army Revolver",
"Large",
"1863-1875",
".44",
"122,000 (approximately)",
"8 inch octagon",
"Used for factory conversions in .46 RF & ."
],
[
"New Model Navy Revolver",
"Medium",
"1863-1875",
".36",
"28,000 (approximately)",
"7 3/8 inch octagon",
"Used for factory and U.S. Navy conversions to .38"
],
[
"New Model Single Action Belt Revolver",
"Large",
"1863-1875",
".36 percussion and .38 CF",
"2,500 - 3,000 (estimated)",
"6 1/2 inch octagon",
"Factory conversion production started in 1873"
],
[
"Remington-Rider Double Action New Model Belt Revolver",
"Large",
"1863-1873",
".36 percussion and .38 CF",
"3,000 - 5,000 (estimated)",
"6 1/2 inch octagon",
"1863-1865 available with fluted cylinder, conversions had two"
],
[
"New Model Police Revolver",
"Medium",
"1865-1873",
".36 percussion and .38 RF",
"25,000 (estimated)",
"3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc",
"Conversions all believed to be rimfire only"
],
[
"New Model Pocket Revolver",
"Medium",
"1865-1873",
".31 percussion and .32 CF",
"25,000 (estimated)",
"3, 3 1/2, 4, 4 1/2",
"Majority produced as conversions or cartridge"
]
]
| [
"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 : 1861 army revolver (old model army) | large | 1862 | .44 | 6,000 (estimated) | 8 inch octagon | nan row 4 : 1861 navy revolver | medium | 1862 | .36 | 7,000 (estimated) | 7 3/8 inch octagon | nan row 5 : new model army revolver | large | 1863-1875 | .44 | 122,000 (approximately) | 8 inch octagon | used for factory conversions in .46 rf & . row 6 : new model navy revolver | medium | 1863-1875 | .36 | 28,000 (approximately) | 7 3/8 inch octagon | used for factory and u.s. navy conversions to .38 row 7 : new model single action belt revolver | large | 1863-1875 | .36 percussion and .38 cf | 2,500 - 3,000 (estimated) | 6 1/2 inch octagon | factory conversion production started in 1873 row 8 : remington-rider double action new model belt revolver | large | 1863-1873 | .36 percussion and .38 cf | 3,000 - 5,000 (estimated) | 6 1/2 inch octagon | 1863-1865 available with fluted cylinder, conversions had two row 9 : new model police revolver | medium | 1865-1873 | .36 percussion and .38 rf | 25,000 (estimated) | 3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc | conversions all believed to be rimfire only row 10 : new model pocket revolver | medium | 1865-1873 | .31 percussion and .32 cf | 25,000 (estimated) | 3, 3 1/2, 4, 4 1/2 | majority produced as conversions or cartridge | table_csv/203_253.csv | 0 | {
"column_index": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"row_index": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
]
} | [
"what are 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 revolver | [
"Model",
"Frame",
"Years Mfg'd",
"Caliber(s)",
"Production",
"Barrel",
"Notes"
]
| what are the remington models? | [
[
"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"
],
[
"1861 Army Revolver (Old Model Army)",
"Large",
"1862",
".44",
"6,000 (estimated)",
"8 inch octagon",
"nan"
],
[
"1861 Navy Revolver",
"Medium",
"1862",
".36",
"7,000 (estimated)",
"7 3/8 inch octagon",
"nan"
],
[
"New Model Army Revolver",
"Large",
"1863-1875",
".44",
"122,000 (approximately)",
"8 inch octagon",
"Used for factory conversions in .46 RF & ."
],
[
"New Model Navy Revolver",
"Medium",
"1863-1875",
".36",
"28,000 (approximately)",
"7 3/8 inch octagon",
"Used for factory and U.S. Navy conversions to .38"
],
[
"New Model Single Action Belt Revolver",
"Large",
"1863-1875",
".36 percussion and .38 CF",
"2,500 - 3,000 (estimated)",
"6 1/2 inch octagon",
"Factory conversion production started in 1873"
],
[
"Remington-Rider Double Action New Model Belt Revolver",
"Large",
"1863-1873",
".36 percussion and .38 CF",
"3,000 - 5,000 (estimated)",
"6 1/2 inch octagon",
"1863-1865 available with fluted cylinder, conversions had two"
],
[
"New Model Police Revolver",
"Medium",
"1865-1873",
".36 percussion and .38 RF",
"25,000 (estimated)",
"3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc",
"Conversions all believed to be rimfire only"
],
[
"New Model Pocket Revolver",
"Medium",
"1865-1873",
".31 percussion and .32 CF",
"25,000 (estimated)",
"3, 3 1/2, 4, 4 1/2",
"Majority produced as conversions or cartridge"
]
]
| [
"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 Revolver"
]
| 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 : 1861 army revolver (old model army) | large | 1862 | .44 | 6,000 (estimated) | 8 inch octagon | nan row 4 : 1861 navy revolver | medium | 1862 | .36 | 7,000 (estimated) | 7 3/8 inch octagon | nan row 5 : new model army revolver | large | 1863-1875 | .44 | 122,000 (approximately) | 8 inch octagon | used for factory conversions in .46 rf & . row 6 : new model navy revolver | medium | 1863-1875 | .36 | 28,000 (approximately) | 7 3/8 inch octagon | used for factory and u.s. navy conversions to .38 row 7 : new model single action belt revolver | large | 1863-1875 | .36 percussion and .38 cf | 2,500 - 3,000 (estimated) | 6 1/2 inch octagon | factory conversion production started in 1873 row 8 : remington-rider double action new model belt revolver | large | 1863-1873 | .36 percussion and .38 cf | 3,000 - 5,000 (estimated) | 6 1/2 inch octagon | 1863-1865 available with fluted cylinder, conversions had two row 9 : new model police revolver | medium | 1865-1873 | .36 percussion and .38 rf | 25,000 (estimated) | 3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc | conversions all believed to be rimfire only row 10 : new model pocket revolver | medium | 1865-1873 | .31 percussion and .32 cf | 25,000 (estimated) | 3, 3 1/2, 4, 4 1/2 | majority produced as conversions or cartridge | table_csv/203_253.csv | 1 | {
"column_index": [
0
],
"row_index": [
9
]
} | [
"what are the remington models?",
"of these, which one has the lowest caliber?"
]
| 1 | new model pocket revolver | [
"Model",
"Frame",
"Years Mfg'd",
"Caliber(s)",
"Production",
"Barrel",
"Notes"
]
| of these, which one has the lowest 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"
],
[
"1861 Army Revolver (Old Model Army)",
"Large",
"1862",
".44",
"6,000 (estimated)",
"8 inch octagon",
"nan"
],
[
"1861 Navy Revolver",
"Medium",
"1862",
".36",
"7,000 (estimated)",
"7 3/8 inch octagon",
"nan"
],
[
"New Model Army Revolver",
"Large",
"1863-1875",
".44",
"122,000 (approximately)",
"8 inch octagon",
"Used for factory conversions in .46 RF & ."
],
[
"New Model Navy Revolver",
"Medium",
"1863-1875",
".36",
"28,000 (approximately)",
"7 3/8 inch octagon",
"Used for factory and U.S. Navy conversions to .38"
],
[
"New Model Single Action Belt Revolver",
"Large",
"1863-1875",
".36 percussion and .38 CF",
"2,500 - 3,000 (estimated)",
"6 1/2 inch octagon",
"Factory conversion production started in 1873"
],
[
"Remington-Rider Double Action New Model Belt Revolver",
"Large",
"1863-1873",
".36 percussion and .38 CF",
"3,000 - 5,000 (estimated)",
"6 1/2 inch octagon",
"1863-1865 available with fluted cylinder, conversions had two"
],
[
"New Model Police Revolver",
"Medium",
"1865-1873",
".36 percussion and .38 RF",
"25,000 (estimated)",
"3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc",
"Conversions all believed to be rimfire only"
],
[
"New Model Pocket Revolver",
"Medium",
"1865-1873",
".31 percussion and .32 CF",
"25,000 (estimated)",
"3, 3 1/2, 4, 4 1/2",
"Majority produced as conversions or cartridge"
]
]
| [
"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 : 1861 army revolver (old model army) | large | 1862 | .44 | 6,000 (estimated) | 8 inch octagon | nan row 4 : 1861 navy revolver | medium | 1862 | .36 | 7,000 (estimated) | 7 3/8 inch octagon | nan row 5 : new model army revolver | large | 1863-1875 | .44 | 122,000 (approximately) | 8 inch octagon | used for factory conversions in .46 rf & . row 6 : new model navy revolver | medium | 1863-1875 | .36 | 28,000 (approximately) | 7 3/8 inch octagon | used for factory and u.s. navy conversions to .38 row 7 : new model single action belt revolver | large | 1863-1875 | .36 percussion and .38 cf | 2,500 - 3,000 (estimated) | 6 1/2 inch octagon | factory conversion production started in 1873 row 8 : remington-rider double action new model belt revolver | large | 1863-1873 | .36 percussion and .38 cf | 3,000 - 5,000 (estimated) | 6 1/2 inch octagon | 1863-1865 available with fluted cylinder, conversions had two row 9 : new model police revolver | medium | 1865-1873 | .36 percussion and .38 rf | 25,000 (estimated) | 3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc | conversions all believed to be rimfire only row 10 : new model pocket revolver | medium | 1865-1873 | .31 percussion and .32 cf | 25,000 (estimated) | 3, 3 1/2, 4, 4 1/2 | majority produced as conversions or cartridge | table_csv/203_253.csv | 0 | {
"column_index": [
3
],
"row_index": [
9
]
} | [
"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"
],
[
"1861 Army Revolver (Old Model Army)",
"Large",
"1862",
".44",
"6,000 (estimated)",
"8 inch octagon",
"nan"
],
[
"1861 Navy Revolver",
"Medium",
"1862",
".36",
"7,000 (estimated)",
"7 3/8 inch octagon",
"nan"
],
[
"New Model Army Revolver",
"Large",
"1863-1875",
".44",
"122,000 (approximately)",
"8 inch octagon",
"Used for factory conversions in .46 RF & ."
],
[
"New Model Navy Revolver",
"Medium",
"1863-1875",
".36",
"28,000 (approximately)",
"7 3/8 inch octagon",
"Used for factory and U.S. Navy conversions to .38"
],
[
"New Model Single Action Belt Revolver",
"Large",
"1863-1875",
".36 percussion and .38 CF",
"2,500 - 3,000 (estimated)",
"6 1/2 inch octagon",
"Factory conversion production started in 1873"
],
[
"Remington-Rider Double Action New Model Belt Revolver",
"Large",
"1863-1873",
".36 percussion and .38 CF",
"3,000 - 5,000 (estimated)",
"6 1/2 inch octagon",
"1863-1865 available with fluted cylinder, conversions had two"
],
[
"New Model Police Revolver",
"Medium",
"1865-1873",
".36 percussion and .38 RF",
"25,000 (estimated)",
"3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc",
"Conversions all believed to be rimfire only"
],
[
"New Model Pocket Revolver",
"Medium",
"1865-1873",
".31 percussion and .32 CF",
"25,000 (estimated)",
"3, 3 1/2, 4, 4 1/2",
"Majority produced as conversions or cartridge"
]
]
| [
".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 : 1861 army revolver (old model army) | large | 1862 | .44 | 6,000 (estimated) | 8 inch octagon | nan row 4 : 1861 navy revolver | medium | 1862 | .36 | 7,000 (estimated) | 7 3/8 inch octagon | nan row 5 : new model army revolver | large | 1863-1875 | .44 | 122,000 (approximately) | 8 inch octagon | used for factory conversions in .46 rf & . row 6 : new model navy revolver | medium | 1863-1875 | .36 | 28,000 (approximately) | 7 3/8 inch octagon | used for factory and u.s. navy conversions to .38 row 7 : new model single action belt revolver | large | 1863-1875 | .36 percussion and .38 cf | 2,500 - 3,000 (estimated) | 6 1/2 inch octagon | factory conversion production started in 1873 row 8 : remington-rider double action new model belt revolver | large | 1863-1873 | .36 percussion and .38 cf | 3,000 - 5,000 (estimated) | 6 1/2 inch octagon | 1863-1865 available with fluted cylinder, conversions had two row 9 : new model police revolver | medium | 1865-1873 | .36 percussion and .38 rf | 25,000 (estimated) | 3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc | conversions all believed to be rimfire only row 10 : new model pocket revolver | medium | 1865-1873 | .31 percussion and .32 cf | 25,000 (estimated) | 3, 3 1/2, 4, 4 1/2 | majority produced as conversions or cartridge | 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"
],
[
"1861 Army Revolver (Old Model Army)",
"Large",
"1862",
".44",
"6,000 (estimated)",
"8 inch octagon",
"nan"
],
[
"1861 Navy Revolver",
"Medium",
"1862",
".36",
"7,000 (estimated)",
"7 3/8 inch octagon",
"nan"
],
[
"New Model Army Revolver",
"Large",
"1863-1875",
".44",
"122,000 (approximately)",
"8 inch octagon",
"Used for factory conversions in .46 RF & ."
],
[
"New Model Navy Revolver",
"Medium",
"1863-1875",
".36",
"28,000 (approximately)",
"7 3/8 inch octagon",
"Used for factory and U.S. Navy conversions to .38"
],
[
"New Model Single Action Belt Revolver",
"Large",
"1863-1875",
".36 percussion and .38 CF",
"2,500 - 3,000 (estimated)",
"6 1/2 inch octagon",
"Factory conversion production started in 1873"
],
[
"Remington-Rider Double Action New Model Belt Revolver",
"Large",
"1863-1873",
".36 percussion and .38 CF",
"3,000 - 5,000 (estimated)",
"6 1/2 inch octagon",
"1863-1865 available with fluted cylinder, conversions had two"
],
[
"New Model Police Revolver",
"Medium",
"1865-1873",
".36 percussion and .38 RF",
"25,000 (estimated)",
"3 1/2, 4 1/2, 5 1/2, 6 1/2 inch oc",
"Conversions all believed to be rimfire only"
],
[
"New Model Pocket Revolver",
"Medium",
"1865-1873",
".31 percussion and .32 CF",
"25,000 (estimated)",
"3, 3 1/2, 4, 4 1/2",
"Majority produced as conversions or cartridge"
]
]
| [
"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 : petrie, brisbane | petrie airfield | military | 27deg17's 153deg00'e / row 5 : tarampa | tarampa airfield | military | 27deg27'19''s 152deg28' row 6 : townsville | aitkenvale aerodrome | military | 19deg18'45''s 146deg44' row 7 : townsville | bohle river aerodrome | military | 19deg16'58''s 146deg41' row 8 : townsville | reid river airfield | military | 19deg45'45''s 146deg50' | 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'"
],
[
"Petrie, Brisbane",
"Petrie Airfield",
"Military",
"27deg17'S 153deg00'E /"
],
[
"Tarampa",
"Tarampa Airfield",
"Military",
"27deg27'19''S 152deg28'"
],
[
"Townsville",
"Aitkenvale Aerodrome",
"Military",
"19deg18'45''S 146deg44'"
],
[
"Townsville",
"Bohle River Aerodrome",
"Military",
"19deg16'58''S 146deg41'"
],
[
"Townsville",
"Reid River Airfield",
"Military",
"19deg45'45''S 146deg50'"
]
]
| [
"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 : petrie, brisbane | petrie airfield | military | 27deg17's 153deg00'e / row 5 : tarampa | tarampa airfield | military | 27deg27'19''s 152deg28' row 6 : townsville | aitkenvale aerodrome | military | 19deg18'45''s 146deg44' row 7 : townsville | bohle river aerodrome | military | 19deg16'58''s 146deg41' row 8 : townsville | reid river airfield | military | 19deg45'45''s 146deg50' | 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'"
],
[
"Petrie, Brisbane",
"Petrie Airfield",
"Military",
"27deg17'S 153deg00'E /"
],
[
"Tarampa",
"Tarampa Airfield",
"Military",
"27deg27'19''S 152deg28'"
],
[
"Townsville",
"Aitkenvale Aerodrome",
"Military",
"19deg18'45''S 146deg44'"
],
[
"Townsville",
"Bohle River Aerodrome",
"Military",
"19deg16'58''S 146deg41'"
],
[
"Townsville",
"Reid River Airfield",
"Military",
"19deg45'45''S 146deg50'"
]
]
| [
"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 : petrie, brisbane | petrie airfield | military | 27deg17's 153deg00'e / row 5 : tarampa | tarampa airfield | military | 27deg27'19''s 152deg28' row 6 : townsville | aitkenvale aerodrome | military | 19deg18'45''s 146deg44' row 7 : townsville | bohle river aerodrome | military | 19deg16'58''s 146deg41' row 8 : townsville | reid river airfield | military | 19deg45'45''s 146deg50' | 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'"
],
[
"Petrie, Brisbane",
"Petrie Airfield",
"Military",
"27deg17'S 153deg00'E /"
],
[
"Tarampa",
"Tarampa Airfield",
"Military",
"27deg27'19''S 152deg28'"
],
[
"Townsville",
"Aitkenvale Aerodrome",
"Military",
"19deg18'45''S 146deg44'"
],
[
"Townsville",
"Bohle River Aerodrome",
"Military",
"19deg16'58''S 146deg41'"
],
[
"Townsville",
"Reid River Airfield",
"Military",
"19deg45'45''S 146deg50'"
]
]
| [
"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 : petrie, brisbane | petrie airfield | military | 27deg17's 153deg00'e / row 5 : tarampa | tarampa airfield | military | 27deg27'19''s 152deg28' row 6 : townsville | aitkenvale aerodrome | military | 19deg18'45''s 146deg44' row 7 : townsville | bohle river aerodrome | military | 19deg16'58''s 146deg41' row 8 : townsville | reid river airfield | military | 19deg45'45''s 146deg50' | 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'"
],
[
"Petrie, Brisbane",
"Petrie Airfield",
"Military",
"27deg17'S 153deg00'E /"
],
[
"Tarampa",
"Tarampa Airfield",
"Military",
"27deg27'19''S 152deg28'"
],
[
"Townsville",
"Aitkenvale Aerodrome",
"Military",
"19deg18'45''S 146deg44'"
],
[
"Townsville",
"Bohle River Aerodrome",
"Military",
"19deg16'58''S 146deg41'"
],
[
"Townsville",
"Reid River Airfield",
"Military",
"19deg45'45''S 146deg50'"
]
]
| [
"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 : petrie, brisbane | petrie airfield | military | 27deg17's 153deg00'e / row 5 : tarampa | tarampa airfield | military | 27deg27'19''s 152deg28' row 6 : townsville | aitkenvale aerodrome | military | 19deg18'45''s 146deg44' row 7 : townsville | bohle river aerodrome | military | 19deg16'58''s 146deg41' row 8 : townsville | reid river airfield | military | 19deg45'45''s 146deg50' | 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'"
],
[
"Petrie, Brisbane",
"Petrie Airfield",
"Military",
"27deg17'S 153deg00'E /"
],
[
"Tarampa",
"Tarampa Airfield",
"Military",
"27deg27'19''S 152deg28'"
],
[
"Townsville",
"Aitkenvale Aerodrome",
"Military",
"19deg18'45''S 146deg44'"
],
[
"Townsville",
"Bohle River Aerodrome",
"Military",
"19deg16'58''S 146deg41'"
],
[
"Townsville",
"Reid River Airfield",
"Military",
"19deg45'45''S 146deg50'"
]
]
| [
"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 : petrie, brisbane | petrie airfield | military | 27deg17's 153deg00'e / row 5 : tarampa | tarampa airfield | military | 27deg27'19''s 152deg28' row 6 : townsville | aitkenvale aerodrome | military | 19deg18'45''s 146deg44' row 7 : townsville | bohle river aerodrome | military | 19deg16'58''s 146deg41' row 8 : townsville | reid river airfield | military | 19deg45'45''s 146deg50' | 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'"
],
[
"Petrie, Brisbane",
"Petrie Airfield",
"Military",
"27deg17'S 153deg00'E /"
],
[
"Tarampa",
"Tarampa Airfield",
"Military",
"27deg27'19''S 152deg28'"
],
[
"Townsville",
"Aitkenvale Aerodrome",
"Military",
"19deg18'45''S 146deg44'"
],
[
"Townsville",
"Bohle River Aerodrome",
"Military",
"19deg16'58''S 146deg41'"
],
[
"Townsville",
"Reid River Airfield",
"Military",
"19deg45'45''S 146deg50'"
]
]
| [
"Eagle Farm, Brisbane"
]
| what community is that airport in? || which of these airports are available to the public? | which airports call queensland home? |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.