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nt-639
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies | of | simeon hs (chicago, il) row 5 : 5 | donald harris | texas rangers | of | texas tech university row 6 : 6 | paul coleman | saint louis cardinals | of | frankston (tx) hs row 7 : 7 | frank thomas | chicago white sox | 1b | auburn university row 8 : 8 | earl cunningham | chicago cubs | of | lancaster (sc) hs row 9 : 9 | kyle abbott | california angels | lhp | long beach state university row 10 : 10 | charles johnson | montreal expos | c | westwood hs (fort pierce, fl) row 11 : 11 | calvin murray | cleveland indians | 3b | w.t. white high school (dallas, tx row 12 : 12 | jeff juden | houston astros | rhp | salem (ma) hs row 13 : 13 | brent mayne | kansas city royals | c | cal state fullerton row 14 : 14 | steve hosey | san francisco giants | of | fresno state university row 15 : 15 | kiki jones | los angeles dodgers | rhp | hillsborough hs (tampa, fl) row 16 : 16 | greg blosser | boston red sox | of | sarasota (fl) hs row 17 : 17 | cal eldred | milwaukee brewers | rhp | university of iowa row 18 : 18 | willie greene | pittsburgh pirates | ss | jones county hs (gray, ga) row 19 : 19 | eddie zosky | toronto blue jays | ss | fresno state university row 20 : 20 | scott bryant | cincinnati reds | of | university of texas row 21 : 21 | greg gohr | detroit tigers | rhp | santa clara university row 22 : 22 | tom goodwin | los angeles dodgers | of | fresno state university row 23 : 23 | mo vaughn | boston red sox | 1b | seton hall university row 24 : 24 | alan zinter | new york mets | c | university of arizona row 25 : 25 | chuck knoblauch | minnesota twins | 2b | texas a&m university row 26 : 26 | scott burrell | seattle mariners | rhp | hamden (ct) hs
table_csv/203_149.csv
0
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[ "where are the players from?" ]
0
louisiana state university, valley hs (las vegas, nv), saugus (ca) hs, simeon hs (chicago, il), texas tech university, frankston (tx) hs, auburn university, lancaster (sc) hs, long beach state university, westwood hs (fort pierce, fl), w.t. white high school (dallas, tx, salem (ma) hs, cal state fullerton, fresno state university, hillsborough hs (tampa, fl), sarasota (fl) hs, university of iowa, jones county hs (gray, ga), fresno state university, university of texas, santa clara university, fresno state university, seton hall university, university of arizona, texas a&m university, hamden (ct) hs
[ "Pick", "Player", "Team", "Position", "School" ]
where are the players from?
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", "Jeff Jackson", "Philadelphia Phillies", "OF", "Simeon HS (Chicago, IL)" ], [ "5", "Donald Harris", "Texas Rangers", "OF", "Texas Tech University" ], [ "6", "Paul Coleman", "Saint Louis Cardinals", "OF", "Frankston (TX) HS" ], [ "7", "Frank Thomas", "Chicago White Sox", "1B", "Auburn University" ], [ "8", "Earl Cunningham", "Chicago Cubs", "OF", "Lancaster (SC) HS" ], [ "9", "Kyle Abbott", "California Angels", "LHP", "Long Beach State University" ], [ "10", "Charles Johnson", "Montreal Expos", "C", "Westwood HS (Fort Pierce, FL)" ], [ "11", "Calvin Murray", "Cleveland Indians", "3B", "W.T. White High School (Dallas, TX" ], [ "12", "Jeff Juden", "Houston Astros", "RHP", "Salem (MA) HS" ], [ "13", "Brent Mayne", "Kansas City Royals", "C", "Cal State Fullerton" ], [ "14", "Steve Hosey", "San Francisco Giants", "OF", "Fresno State University" ], [ "15", "Kiki Jones", "Los Angeles Dodgers", "RHP", "Hillsborough HS (Tampa, FL)" ], [ "16", "Greg Blosser", "Boston Red Sox", "OF", "Sarasota (FL) HS" ], [ "17", "Cal Eldred", "Milwaukee Brewers", "RHP", "University of Iowa" ], [ "18", "Willie Greene", "Pittsburgh Pirates", "SS", "Jones County HS (Gray, GA)" ], [ "19", "Eddie Zosky", "Toronto Blue Jays", "SS", "Fresno State University" ], [ "20", "Scott Bryant", "Cincinnati Reds", "OF", "University of Texas" ], [ "21", "Greg Gohr", "Detroit Tigers", "RHP", "Santa Clara University" ], [ "22", "Tom Goodwin", "Los Angeles Dodgers", "OF", "Fresno State University" ], [ "23", "Mo Vaughn", "Boston Red Sox", "1B", "Seton Hall University" ], [ "24", "Alan Zinter", "New York Mets", "C", "University of Arizona" ], [ "25", "Chuck Knoblauch", "Minnesota Twins", "2B", "Texas A&M University" ], [ "26", "Scott Burrell", "Seattle Mariners", "RHP", "Hamden (CT) HS" ] ]
[ "Louisiana State University", "Valley HS (Las Vegas, NV)", "Saugus (CA) HS", "Simeon HS (Chicago, IL)", "Texas Tech University", "Frankston (TX) HS", "Auburn University", "Lancaster (SC) HS", "Long Beach State University", "Westwood HS (Fort Pierce, FL)", "W.T. White High School (Dallas, TX", "Salem (MA) HS", "Cal State Fullerton", "Fresno State University", "Hillsborough HS (Tampa, FL)", "Sarasota (FL) HS", "University of Iowa", "Jones County HS (Gray, GA)", "Fresno State University", "University of Texas", "Santa Clara University", "Fresno State University", "Seton Hall University", "University of Arizona", "Texas A&M University", "Hamden (CT) HS" ]
where are the players from? ||
nt-639
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies | of | simeon hs (chicago, il) row 5 : 5 | donald harris | texas rangers | of | texas tech university row 6 : 6 | paul coleman | saint louis cardinals | of | frankston (tx) hs row 7 : 7 | frank thomas | chicago white sox | 1b | auburn university row 8 : 8 | earl cunningham | chicago cubs | of | lancaster (sc) hs row 9 : 9 | kyle abbott | california angels | lhp | long beach state university row 10 : 10 | charles johnson | montreal expos | c | westwood hs (fort pierce, fl) row 11 : 11 | calvin murray | cleveland indians | 3b | w.t. white high school (dallas, tx row 12 : 12 | jeff juden | houston astros | rhp | salem (ma) hs row 13 : 13 | brent mayne | kansas city royals | c | cal state fullerton row 14 : 14 | steve hosey | san francisco giants | of | fresno state university row 15 : 15 | kiki jones | los angeles dodgers | rhp | hillsborough hs (tampa, fl) row 16 : 16 | greg blosser | boston red sox | of | sarasota (fl) hs row 17 : 17 | cal eldred | milwaukee brewers | rhp | university of iowa row 18 : 18 | willie greene | pittsburgh pirates | ss | jones county hs (gray, ga) row 19 : 19 | eddie zosky | toronto blue jays | ss | fresno state university row 20 : 20 | scott bryant | cincinnati reds | of | university of texas row 21 : 21 | greg gohr | detroit tigers | rhp | santa clara university row 22 : 22 | tom goodwin | los angeles dodgers | of | fresno state university row 23 : 23 | mo vaughn | boston red sox | 1b | seton hall university row 24 : 24 | alan zinter | new york mets | c | university of arizona row 25 : 25 | chuck knoblauch | minnesota twins | 2b | texas a&m university row 26 : 26 | scott burrell | seattle mariners | rhp | hamden (ct) hs
table_csv/203_149.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "where are the players from?", "which player went to louisiana state university?" ]
0
ben mcdonald
[ "Pick", "Player", "Team", "Position", "School" ]
which player went to louisiana state university?
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", "Jeff Jackson", "Philadelphia Phillies", "OF", "Simeon HS (Chicago, IL)" ], [ "5", "Donald Harris", "Texas Rangers", "OF", "Texas Tech University" ], [ "6", "Paul Coleman", "Saint Louis Cardinals", "OF", "Frankston (TX) HS" ], [ "7", "Frank Thomas", "Chicago White Sox", "1B", "Auburn University" ], [ "8", "Earl Cunningham", "Chicago Cubs", "OF", "Lancaster (SC) HS" ], [ "9", "Kyle Abbott", "California Angels", "LHP", "Long Beach State University" ], [ "10", "Charles Johnson", "Montreal Expos", "C", "Westwood HS (Fort Pierce, FL)" ], [ "11", "Calvin Murray", "Cleveland Indians", "3B", "W.T. White High School (Dallas, TX" ], [ "12", "Jeff Juden", "Houston Astros", "RHP", "Salem (MA) HS" ], [ "13", "Brent Mayne", "Kansas City Royals", "C", "Cal State Fullerton" ], [ "14", "Steve Hosey", "San Francisco Giants", "OF", "Fresno State University" ], [ "15", "Kiki Jones", "Los Angeles Dodgers", "RHP", "Hillsborough HS (Tampa, FL)" ], [ "16", "Greg Blosser", "Boston Red Sox", "OF", "Sarasota (FL) HS" ], [ "17", "Cal Eldred", "Milwaukee Brewers", "RHP", "University of Iowa" ], [ "18", "Willie Greene", "Pittsburgh Pirates", "SS", "Jones County HS (Gray, GA)" ], [ "19", "Eddie Zosky", "Toronto Blue Jays", "SS", "Fresno State University" ], [ "20", "Scott Bryant", "Cincinnati Reds", "OF", "University of Texas" ], [ "21", "Greg Gohr", "Detroit Tigers", "RHP", "Santa Clara University" ], [ "22", "Tom Goodwin", "Los Angeles Dodgers", "OF", "Fresno State University" ], [ "23", "Mo Vaughn", "Boston Red Sox", "1B", "Seton Hall University" ], [ "24", "Alan Zinter", "New York Mets", "C", "University of Arizona" ], [ "25", "Chuck Knoblauch", "Minnesota Twins", "2B", "Texas A&M University" ], [ "26", "Scott Burrell", "Seattle Mariners", "RHP", "Hamden (CT) HS" ] ]
[ "Ben McDonald" ]
which player went to louisiana state university? || where are the players from?
nt-639
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies | of | simeon hs (chicago, il) row 5 : 5 | donald harris | texas rangers | of | texas tech university row 6 : 6 | paul coleman | saint louis cardinals | of | frankston (tx) hs row 7 : 7 | frank thomas | chicago white sox | 1b | auburn university row 8 : 8 | earl cunningham | chicago cubs | of | lancaster (sc) hs row 9 : 9 | kyle abbott | california angels | lhp | long beach state university row 10 : 10 | charles johnson | montreal expos | c | westwood hs (fort pierce, fl) row 11 : 11 | calvin murray | cleveland indians | 3b | w.t. white high school (dallas, tx row 12 : 12 | jeff juden | houston astros | rhp | salem (ma) hs row 13 : 13 | brent mayne | kansas city royals | c | cal state fullerton row 14 : 14 | steve hosey | san francisco giants | of | fresno state university row 15 : 15 | kiki jones | los angeles dodgers | rhp | hillsborough hs (tampa, fl) row 16 : 16 | greg blosser | boston red sox | of | sarasota (fl) hs row 17 : 17 | cal eldred | milwaukee brewers | rhp | university of iowa row 18 : 18 | willie greene | pittsburgh pirates | ss | jones county hs (gray, ga) row 19 : 19 | eddie zosky | toronto blue jays | ss | fresno state university row 20 : 20 | scott bryant | cincinnati reds | of | university of texas row 21 : 21 | greg gohr | detroit tigers | rhp | santa clara university row 22 : 22 | tom goodwin | los angeles dodgers | of | fresno state university row 23 : 23 | mo vaughn | boston red sox | 1b | seton hall university row 24 : 24 | alan zinter | new york mets | c | university of arizona row 25 : 25 | chuck knoblauch | minnesota twins | 2b | texas a&m university row 26 : 26 | scott burrell | seattle mariners | rhp | hamden (ct) hs
table_csv/203_149.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, 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, 21, 22, 23, 24, 25 ] }
[ "who are the players?" ]
1
ben mcdonald, tyler houston, roger salkeld, jeff jackson, donald harris, paul coleman, frank thomas, earl cunningham, kyle abbott, charles johnson, calvin murray, jeff juden, brent mayne, steve hosey, kiki jones, greg blosser, cal eldred, willie greene, eddie zosky, scott bryant, greg gohr, tom goodwin, mo vaughn, alan zinter, chuck knoblauch, scott burrell
[ "Pick", "Player", "Team", "Position", "School" ]
who are the players?
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", "Jeff Jackson", "Philadelphia Phillies", "OF", "Simeon HS (Chicago, IL)" ], [ "5", "Donald Harris", "Texas Rangers", "OF", "Texas Tech University" ], [ "6", "Paul Coleman", "Saint Louis Cardinals", "OF", "Frankston (TX) HS" ], [ "7", "Frank Thomas", "Chicago White Sox", "1B", "Auburn University" ], [ "8", "Earl Cunningham", "Chicago Cubs", "OF", "Lancaster (SC) HS" ], [ "9", "Kyle Abbott", "California Angels", "LHP", "Long Beach State University" ], [ "10", "Charles Johnson", "Montreal Expos", "C", "Westwood HS (Fort Pierce, FL)" ], [ "11", "Calvin Murray", "Cleveland Indians", "3B", "W.T. White High School (Dallas, TX" ], [ "12", "Jeff Juden", "Houston Astros", "RHP", "Salem (MA) HS" ], [ "13", "Brent Mayne", "Kansas City Royals", "C", "Cal State Fullerton" ], [ "14", "Steve Hosey", "San Francisco Giants", "OF", "Fresno State University" ], [ "15", "Kiki Jones", "Los Angeles Dodgers", "RHP", "Hillsborough HS (Tampa, FL)" ], [ "16", "Greg Blosser", "Boston Red Sox", "OF", "Sarasota (FL) HS" ], [ "17", "Cal Eldred", "Milwaukee Brewers", "RHP", "University of Iowa" ], [ "18", "Willie Greene", "Pittsburgh Pirates", "SS", "Jones County HS (Gray, GA)" ], [ "19", "Eddie Zosky", "Toronto Blue Jays", "SS", "Fresno State University" ], [ "20", "Scott Bryant", "Cincinnati Reds", "OF", "University of Texas" ], [ "21", "Greg Gohr", "Detroit Tigers", "RHP", "Santa Clara University" ], [ "22", "Tom Goodwin", "Los Angeles Dodgers", "OF", "Fresno State University" ], [ "23", "Mo Vaughn", "Boston Red Sox", "1B", "Seton Hall University" ], [ "24", "Alan Zinter", "New York Mets", "C", "University of Arizona" ], [ "25", "Chuck Knoblauch", "Minnesota Twins", "2B", "Texas A&M University" ], [ "26", "Scott Burrell", "Seattle Mariners", "RHP", "Hamden (CT) HS" ] ]
[ "Ben McDonald", "Tyler Houston", "Roger Salkeld", "Jeff Jackson", "Donald Harris", "Paul Coleman", "Frank Thomas", "Earl Cunningham", "Kyle Abbott", "Charles Johnson", "Calvin Murray", "Jeff Juden", "Brent Mayne", "Steve Hosey", "Kiki Jones", "Greg Blosser", "Cal Eldred", "Willie Greene", "Eddie Zosky", "Scott Bryant", "Greg Gohr", "Tom Goodwin", "Mo Vaughn", "Alan Zinter", "Chuck Knoblauch", "Scott Burrell" ]
who are the players? ||
nt-639
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies | of | simeon hs (chicago, il) row 5 : 5 | donald harris | texas rangers | of | texas tech university row 6 : 6 | paul coleman | saint louis cardinals | of | frankston (tx) hs row 7 : 7 | frank thomas | chicago white sox | 1b | auburn university row 8 : 8 | earl cunningham | chicago cubs | of | lancaster (sc) hs row 9 : 9 | kyle abbott | california angels | lhp | long beach state university row 10 : 10 | charles johnson | montreal expos | c | westwood hs (fort pierce, fl) row 11 : 11 | calvin murray | cleveland indians | 3b | w.t. white high school (dallas, tx row 12 : 12 | jeff juden | houston astros | rhp | salem (ma) hs row 13 : 13 | brent mayne | kansas city royals | c | cal state fullerton row 14 : 14 | steve hosey | san francisco giants | of | fresno state university row 15 : 15 | kiki jones | los angeles dodgers | rhp | hillsborough hs (tampa, fl) row 16 : 16 | greg blosser | boston red sox | of | sarasota (fl) hs row 17 : 17 | cal eldred | milwaukee brewers | rhp | university of iowa row 18 : 18 | willie greene | pittsburgh pirates | ss | jones county hs (gray, ga) row 19 : 19 | eddie zosky | toronto blue jays | ss | fresno state university row 20 : 20 | scott bryant | cincinnati reds | of | university of texas row 21 : 21 | greg gohr | detroit tigers | rhp | santa clara university row 22 : 22 | tom goodwin | los angeles dodgers | of | fresno state university row 23 : 23 | mo vaughn | boston red sox | 1b | seton hall university row 24 : 24 | alan zinter | new york mets | c | university of arizona row 25 : 25 | chuck knoblauch | minnesota twins | 2b | texas a&m university row 26 : 26 | scott burrell | seattle mariners | rhp | hamden (ct) hs
table_csv/203_149.csv
1
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[ "who are the players?", "which ones are in the top 26 picks?" ]
1
ben mcdonald, tyler houston, roger salkeld, jeff jackson, donald harris, paul coleman, frank thomas, earl cunningham, kyle abbott, charles johnson, calvin murray, jeff juden, brent mayne, steve hosey, kiki jones, greg blosser, cal eldred, willie greene, eddie zosky, scott bryant, greg gohr, tom goodwin, mo vaughn, alan zinter, chuck knoblauch, scott burrell
[ "Pick", "Player", "Team", "Position", "School" ]
which ones are in the top 26 picks?
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", "Jeff Jackson", "Philadelphia Phillies", "OF", "Simeon HS (Chicago, IL)" ], [ "5", "Donald Harris", "Texas Rangers", "OF", "Texas Tech University" ], [ "6", "Paul Coleman", "Saint Louis Cardinals", "OF", "Frankston (TX) HS" ], [ "7", "Frank Thomas", "Chicago White Sox", "1B", "Auburn University" ], [ "8", "Earl Cunningham", "Chicago Cubs", "OF", "Lancaster (SC) HS" ], [ "9", "Kyle Abbott", "California Angels", "LHP", "Long Beach State University" ], [ "10", "Charles Johnson", "Montreal Expos", "C", "Westwood HS (Fort Pierce, FL)" ], [ "11", "Calvin Murray", "Cleveland Indians", "3B", "W.T. White High School (Dallas, TX" ], [ "12", "Jeff Juden", "Houston Astros", "RHP", "Salem (MA) HS" ], [ "13", "Brent Mayne", "Kansas City Royals", "C", "Cal State Fullerton" ], [ "14", "Steve Hosey", "San Francisco Giants", "OF", "Fresno State University" ], [ "15", "Kiki Jones", "Los Angeles Dodgers", "RHP", "Hillsborough HS (Tampa, FL)" ], [ "16", "Greg Blosser", "Boston Red Sox", "OF", "Sarasota (FL) HS" ], [ "17", "Cal Eldred", "Milwaukee Brewers", "RHP", "University of Iowa" ], [ "18", "Willie Greene", "Pittsburgh Pirates", "SS", "Jones County HS (Gray, GA)" ], [ "19", "Eddie Zosky", "Toronto Blue Jays", "SS", "Fresno State University" ], [ "20", "Scott Bryant", "Cincinnati Reds", "OF", "University of Texas" ], [ "21", "Greg Gohr", "Detroit Tigers", "RHP", "Santa Clara University" ], [ "22", "Tom Goodwin", "Los Angeles Dodgers", "OF", "Fresno State University" ], [ "23", "Mo Vaughn", "Boston Red Sox", "1B", "Seton Hall University" ], [ "24", "Alan Zinter", "New York Mets", "C", "University of Arizona" ], [ "25", "Chuck Knoblauch", "Minnesota Twins", "2B", "Texas A&M University" ], [ "26", "Scott Burrell", "Seattle Mariners", "RHP", "Hamden (CT) HS" ] ]
[ "Ben McDonald", "Tyler Houston", "Roger Salkeld", "Jeff Jackson", "Donald Harris", "Paul Coleman", "Frank Thomas", "Earl Cunningham", "Kyle Abbott", "Charles Johnson", "Calvin Murray", "Jeff Juden", "Brent Mayne", "Steve Hosey", "Kiki Jones", "Greg Blosser", "Cal Eldred", "Willie Greene", "Eddie Zosky", "Scott Bryant", "Greg Gohr", "Tom Goodwin", "Mo Vaughn", "Alan Zinter", "Chuck Knoblauch", "Scott Burrell" ]
which ones are in the top 26 picks? || who are the players?
nt-639
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies | of | simeon hs (chicago, il) row 5 : 5 | donald harris | texas rangers | of | texas tech university row 6 : 6 | paul coleman | saint louis cardinals | of | frankston (tx) hs row 7 : 7 | frank thomas | chicago white sox | 1b | auburn university row 8 : 8 | earl cunningham | chicago cubs | of | lancaster (sc) hs row 9 : 9 | kyle abbott | california angels | lhp | long beach state university row 10 : 10 | charles johnson | montreal expos | c | westwood hs (fort pierce, fl) row 11 : 11 | calvin murray | cleveland indians | 3b | w.t. white high school (dallas, tx row 12 : 12 | jeff juden | houston astros | rhp | salem (ma) hs row 13 : 13 | brent mayne | kansas city royals | c | cal state fullerton row 14 : 14 | steve hosey | san francisco giants | of | fresno state university row 15 : 15 | kiki jones | los angeles dodgers | rhp | hillsborough hs (tampa, fl) row 16 : 16 | greg blosser | boston red sox | of | sarasota (fl) hs row 17 : 17 | cal eldred | milwaukee brewers | rhp | university of iowa row 18 : 18 | willie greene | pittsburgh pirates | ss | jones county hs (gray, ga) row 19 : 19 | eddie zosky | toronto blue jays | ss | fresno state university row 20 : 20 | scott bryant | cincinnati reds | of | university of texas row 21 : 21 | greg gohr | detroit tigers | rhp | santa clara university row 22 : 22 | tom goodwin | los angeles dodgers | of | fresno state university row 23 : 23 | mo vaughn | boston red sox | 1b | seton hall university row 24 : 24 | alan zinter | new york mets | c | university of arizona row 25 : 25 | chuck knoblauch | minnesota twins | 2b | texas a&m university row 26 : 26 | scott burrell | seattle mariners | rhp | hamden (ct) hs
table_csv/203_149.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who are the players?", "which ones are in the top 26 picks?", "and of those, who is from louisiana state university?" ]
1
ben mcdonald
[ "Pick", "Player", "Team", "Position", "School" ]
and of those, who is from louisiana state university?
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", "Jeff Jackson", "Philadelphia Phillies", "OF", "Simeon HS (Chicago, IL)" ], [ "5", "Donald Harris", "Texas Rangers", "OF", "Texas Tech University" ], [ "6", "Paul Coleman", "Saint Louis Cardinals", "OF", "Frankston (TX) HS" ], [ "7", "Frank Thomas", "Chicago White Sox", "1B", "Auburn University" ], [ "8", "Earl Cunningham", "Chicago Cubs", "OF", "Lancaster (SC) HS" ], [ "9", "Kyle Abbott", "California Angels", "LHP", "Long Beach State University" ], [ "10", "Charles Johnson", "Montreal Expos", "C", "Westwood HS (Fort Pierce, FL)" ], [ "11", "Calvin Murray", "Cleveland Indians", "3B", "W.T. White High School (Dallas, TX" ], [ "12", "Jeff Juden", "Houston Astros", "RHP", "Salem (MA) HS" ], [ "13", "Brent Mayne", "Kansas City Royals", "C", "Cal State Fullerton" ], [ "14", "Steve Hosey", "San Francisco Giants", "OF", "Fresno State University" ], [ "15", "Kiki Jones", "Los Angeles Dodgers", "RHP", "Hillsborough HS (Tampa, FL)" ], [ "16", "Greg Blosser", "Boston Red Sox", "OF", "Sarasota (FL) HS" ], [ "17", "Cal Eldred", "Milwaukee Brewers", "RHP", "University of Iowa" ], [ "18", "Willie Greene", "Pittsburgh Pirates", "SS", "Jones County HS (Gray, GA)" ], [ "19", "Eddie Zosky", "Toronto Blue Jays", "SS", "Fresno State University" ], [ "20", "Scott Bryant", "Cincinnati Reds", "OF", "University of Texas" ], [ "21", "Greg Gohr", "Detroit Tigers", "RHP", "Santa Clara University" ], [ "22", "Tom Goodwin", "Los Angeles Dodgers", "OF", "Fresno State University" ], [ "23", "Mo Vaughn", "Boston Red Sox", "1B", "Seton Hall University" ], [ "24", "Alan Zinter", "New York Mets", "C", "University of Arizona" ], [ "25", "Chuck Knoblauch", "Minnesota Twins", "2B", "Texas A&M University" ], [ "26", "Scott Burrell", "Seattle Mariners", "RHP", "Hamden (CT) HS" ] ]
[ "Ben McDonald" ]
and of those, who is from louisiana state university? || which ones are in the top 26 picks? | who are the players?
nt-639
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies | of | simeon hs (chicago, il) row 5 : 5 | donald harris | texas rangers | of | texas tech university row 6 : 6 | paul coleman | saint louis cardinals | of | frankston (tx) hs row 7 : 7 | frank thomas | chicago white sox | 1b | auburn university row 8 : 8 | earl cunningham | chicago cubs | of | lancaster (sc) hs row 9 : 9 | kyle abbott | california angels | lhp | long beach state university row 10 : 10 | charles johnson | montreal expos | c | westwood hs (fort pierce, fl) row 11 : 11 | calvin murray | cleveland indians | 3b | w.t. white high school (dallas, tx row 12 : 12 | jeff juden | houston astros | rhp | salem (ma) hs row 13 : 13 | brent mayne | kansas city royals | c | cal state fullerton row 14 : 14 | steve hosey | san francisco giants | of | fresno state university row 15 : 15 | kiki jones | los angeles dodgers | rhp | hillsborough hs (tampa, fl) row 16 : 16 | greg blosser | boston red sox | of | sarasota (fl) hs row 17 : 17 | cal eldred | milwaukee brewers | rhp | university of iowa row 18 : 18 | willie greene | pittsburgh pirates | ss | jones county hs (gray, ga) row 19 : 19 | eddie zosky | toronto blue jays | ss | fresno state university row 20 : 20 | scott bryant | cincinnati reds | of | university of texas row 21 : 21 | greg gohr | detroit tigers | rhp | santa clara university row 22 : 22 | tom goodwin | los angeles dodgers | of | fresno state university row 23 : 23 | mo vaughn | boston red sox | 1b | seton hall university row 24 : 24 | alan zinter | new york mets | c | university of arizona row 25 : 25 | chuck knoblauch | minnesota twins | 2b | texas a&m university row 26 : 26 | scott burrell | seattle mariners | rhp | hamden (ct) hs
table_csv/203_149.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, 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, 21, 22, 23, 24, 25 ] }
[ "who are the players in the top 26?" ]
2
ben mcdonald, tyler houston, roger salkeld, jeff jackson, donald harris, paul coleman, frank thomas, earl cunningham, kyle abbott, charles johnson, calvin murray, jeff juden, brent mayne, steve hosey, kiki jones, greg blosser, cal eldred, willie greene, eddie zosky, scott bryant, greg gohr, tom goodwin, mo vaughn, alan zinter, chuck knoblauch, scott burrell
[ "Pick", "Player", "Team", "Position", "School" ]
who are the players in the top 26?
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", "Jeff Jackson", "Philadelphia Phillies", "OF", "Simeon HS (Chicago, IL)" ], [ "5", "Donald Harris", "Texas Rangers", "OF", "Texas Tech University" ], [ "6", "Paul Coleman", "Saint Louis Cardinals", "OF", "Frankston (TX) HS" ], [ "7", "Frank Thomas", "Chicago White Sox", "1B", "Auburn University" ], [ "8", "Earl Cunningham", "Chicago Cubs", "OF", "Lancaster (SC) HS" ], [ "9", "Kyle Abbott", "California Angels", "LHP", "Long Beach State University" ], [ "10", "Charles Johnson", "Montreal Expos", "C", "Westwood HS (Fort Pierce, FL)" ], [ "11", "Calvin Murray", "Cleveland Indians", "3B", "W.T. White High School (Dallas, TX" ], [ "12", "Jeff Juden", "Houston Astros", "RHP", "Salem (MA) HS" ], [ "13", "Brent Mayne", "Kansas City Royals", "C", "Cal State Fullerton" ], [ "14", "Steve Hosey", "San Francisco Giants", "OF", "Fresno State University" ], [ "15", "Kiki Jones", "Los Angeles Dodgers", "RHP", "Hillsborough HS (Tampa, FL)" ], [ "16", "Greg Blosser", "Boston Red Sox", "OF", "Sarasota (FL) HS" ], [ "17", "Cal Eldred", "Milwaukee Brewers", "RHP", "University of Iowa" ], [ "18", "Willie Greene", "Pittsburgh Pirates", "SS", "Jones County HS (Gray, GA)" ], [ "19", "Eddie Zosky", "Toronto Blue Jays", "SS", "Fresno State University" ], [ "20", "Scott Bryant", "Cincinnati Reds", "OF", "University of Texas" ], [ "21", "Greg Gohr", "Detroit Tigers", "RHP", "Santa Clara University" ], [ "22", "Tom Goodwin", "Los Angeles Dodgers", "OF", "Fresno State University" ], [ "23", "Mo Vaughn", "Boston Red Sox", "1B", "Seton Hall University" ], [ "24", "Alan Zinter", "New York Mets", "C", "University of Arizona" ], [ "25", "Chuck Knoblauch", "Minnesota Twins", "2B", "Texas A&M University" ], [ "26", "Scott Burrell", "Seattle Mariners", "RHP", "Hamden (CT) HS" ] ]
[ "Ben McDonald", "Tyler Houston", "Roger Salkeld", "Jeff Jackson", "Donald Harris", "Paul Coleman", "Frank Thomas", "Earl Cunningham", "Kyle Abbott", "Charles Johnson", "Calvin Murray", "Jeff Juden", "Brent Mayne", "Steve Hosey", "Kiki Jones", "Greg Blosser", "Cal Eldred", "Willie Greene", "Eddie Zosky", "Scott Bryant", "Greg Gohr", "Tom Goodwin", "Mo Vaughn", "Alan Zinter", "Chuck Knoblauch", "Scott Burrell" ]
who are the players in the top 26? ||
nt-639
col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies | of | simeon hs (chicago, il) row 5 : 5 | donald harris | texas rangers | of | texas tech university row 6 : 6 | paul coleman | saint louis cardinals | of | frankston (tx) hs row 7 : 7 | frank thomas | chicago white sox | 1b | auburn university row 8 : 8 | earl cunningham | chicago cubs | of | lancaster (sc) hs row 9 : 9 | kyle abbott | california angels | lhp | long beach state university row 10 : 10 | charles johnson | montreal expos | c | westwood hs (fort pierce, fl) row 11 : 11 | calvin murray | cleveland indians | 3b | w.t. white high school (dallas, tx row 12 : 12 | jeff juden | houston astros | rhp | salem (ma) hs row 13 : 13 | brent mayne | kansas city royals | c | cal state fullerton row 14 : 14 | steve hosey | san francisco giants | of | fresno state university row 15 : 15 | kiki jones | los angeles dodgers | rhp | hillsborough hs (tampa, fl) row 16 : 16 | greg blosser | boston red sox | of | sarasota (fl) hs row 17 : 17 | cal eldred | milwaukee brewers | rhp | university of iowa row 18 : 18 | willie greene | pittsburgh pirates | ss | jones county hs (gray, ga) row 19 : 19 | eddie zosky | toronto blue jays | ss | fresno state university row 20 : 20 | scott bryant | cincinnati reds | of | university of texas row 21 : 21 | greg gohr | detroit tigers | rhp | santa clara university row 22 : 22 | tom goodwin | los angeles dodgers | of | fresno state university row 23 : 23 | mo vaughn | boston red sox | 1b | seton hall university row 24 : 24 | alan zinter | new york mets | c | university of arizona row 25 : 25 | chuck knoblauch | minnesota twins | 2b | texas a&m university row 26 : 26 | scott burrell | seattle mariners | rhp | hamden (ct) hs
table_csv/203_149.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who are the players in the top 26?", "of those, which one was from louisiana state university?" ]
2
ben mcdonald
[ "Pick", "Player", "Team", "Position", "School" ]
of those, which one was from louisiana state university?
[ [ "1", "Ben McDonald", "Baltimore Orioles", "RHP", "Louisiana State University" ], [ "2", "Tyler Houston", "Atlanta Braves", "C", "Valley HS (Las Vegas, NV)" ], [ "3", "Roger Salkeld", "Seattle Mariners", "RHP", "Saugus (CA) HS" ], [ "4", "Jeff Jackson", "Philadelphia Phillies", "OF", "Simeon HS (Chicago, IL)" ], [ "5", "Donald Harris", "Texas Rangers", "OF", "Texas Tech University" ], [ "6", "Paul Coleman", "Saint Louis Cardinals", "OF", "Frankston (TX) HS" ], [ "7", "Frank Thomas", "Chicago White Sox", "1B", "Auburn University" ], [ "8", "Earl Cunningham", "Chicago Cubs", "OF", "Lancaster (SC) HS" ], [ "9", "Kyle Abbott", "California Angels", "LHP", "Long Beach State University" ], [ "10", "Charles Johnson", "Montreal Expos", "C", "Westwood HS (Fort Pierce, FL)" ], [ "11", "Calvin Murray", "Cleveland Indians", "3B", "W.T. White High School (Dallas, TX" ], [ "12", "Jeff Juden", "Houston Astros", "RHP", "Salem (MA) HS" ], [ "13", "Brent Mayne", "Kansas City Royals", "C", "Cal State Fullerton" ], [ "14", "Steve Hosey", "San Francisco Giants", "OF", "Fresno State University" ], [ "15", "Kiki Jones", "Los Angeles Dodgers", "RHP", "Hillsborough HS (Tampa, FL)" ], [ "16", "Greg Blosser", "Boston Red Sox", "OF", "Sarasota (FL) HS" ], [ "17", "Cal Eldred", "Milwaukee Brewers", "RHP", "University of Iowa" ], [ "18", "Willie Greene", "Pittsburgh Pirates", "SS", "Jones County HS (Gray, GA)" ], [ "19", "Eddie Zosky", "Toronto Blue Jays", "SS", "Fresno State University" ], [ "20", "Scott Bryant", "Cincinnati Reds", "OF", "University of Texas" ], [ "21", "Greg Gohr", "Detroit Tigers", "RHP", "Santa Clara University" ], [ "22", "Tom Goodwin", "Los Angeles Dodgers", "OF", "Fresno State University" ], [ "23", "Mo Vaughn", "Boston Red Sox", "1B", "Seton Hall University" ], [ "24", "Alan Zinter", "New York Mets", "C", "University of Arizona" ], [ "25", "Chuck Knoblauch", "Minnesota Twins", "2B", "Texas A&M University" ], [ "26", "Scott Burrell", "Seattle Mariners", "RHP", "Hamden (CT) HS" ] ]
[ "Ben McDonald" ]
of those, which one was from louisiana state university? || who are the players in the top 26?
nt-11649
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas | 30 | 35 | 15 | 5 | 10 | 47 | 39 | 8 row 5 : 5 | recreativo de huelva | 30 | 33 | 13 | 7 | 10 | 43 | 42 | 1 row 6 : 6 | levante ud | 30 | 32 | 14 | 4 | 12 | 49 | 42 | 7 row 7 : 7 | hercules cf | 30 | 32 | 14 | 4 | 12 | 55 | 46 | 9 row 8 : 8 | real murcia | 30 | 31 | 12 | 7 | 11 | 40 | 35 | 5 row 9 : 9 | real jaen | 30 | 31 | 14 | 3 | 13 | 58 | 42 | 16 row 10 : 10 | cadiz cf | 30 | 28 | 12 | 4 | 14 | 43 | 52 | -9 row 11 : 11 | cd cartagena | 30 | 28 | 13 | 2 | 15 | 45 | 56 | -11 row 12 : 12 | cd mestalla | 30 | 27 | 11 | 5 | 14 | 50 | 49 | 1 row 13 : 13 | albacete balompie | 30 | 27 | 10 | 7 | 13 | 27 | 32 | -5 row 14 : 14 | cd san fernando | 30 | 27 | 11 | 5 | 14 | 37 | 47 | -10 row 15 : 15 | atletico ceuta | 30 | 23 | 8 | 7 | 15 | 33 | 48 | -15 row 16 : 16 | cd villarrobledo | 30 | 12 | 4 | 4 | 22 | 26 | 79 | -53
table_csv/204_135.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
[ "what are all the names of the teams?" ]
0
cordoba cf, cd malaga, granada cf, ud las palmas, recreativo de huelva, levante ud, hercules cf, real murcia, real jaen, cadiz cf, cd cartagena, cd mestalla, albacete balompie, cd san fernando, atletico ceuta, cd villarrobledo
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
what are all the names of the teams?
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", "34", "14" ], [ "4", "UD Las Palmas", "30", "35", "15", "5", "10", "47", "39", "8" ], [ "5", "Recreativo de Huelva", "30", "33", "13", "7", "10", "43", "42", "1" ], [ "6", "Levante UD", "30", "32", "14", "4", "12", "49", "42", "7" ], [ "7", "Hercules CF", "30", "32", "14", "4", "12", "55", "46", "9" ], [ "8", "Real Murcia", "30", "31", "12", "7", "11", "40", "35", "5" ], [ "9", "Real Jaen", "30", "31", "14", "3", "13", "58", "42", "16" ], [ "10", "Cadiz CF", "30", "28", "12", "4", "14", "43", "52", "-9" ], [ "11", "CD Cartagena", "30", "28", "13", "2", "15", "45", "56", "-11" ], [ "12", "CD Mestalla", "30", "27", "11", "5", "14", "50", "49", "1" ], [ "13", "Albacete Balompie", "30", "27", "10", "7", "13", "27", "32", "-5" ], [ "14", "CD San Fernando", "30", "27", "11", "5", "14", "37", "47", "-10" ], [ "15", "Atletico Ceuta", "30", "23", "8", "7", "15", "33", "48", "-15" ], [ "16", "CD Villarrobledo", "30", "12", "4", "4", "22", "26", "79", "-53" ] ]
[ "Cordoba CF", "CD Malaga", "Granada CF", "UD Las Palmas", "Recreativo de Huelva", "Levante UD", "Hercules CF", "Real Murcia", "Real Jaen", "Cadiz CF", "CD Cartagena", "CD Mestalla", "Albacete Balompie", "CD San Fernando", "Atletico Ceuta", "CD Villarrobledo" ]
what are all the names of the teams? ||
nt-11649
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas | 30 | 35 | 15 | 5 | 10 | 47 | 39 | 8 row 5 : 5 | recreativo de huelva | 30 | 33 | 13 | 7 | 10 | 43 | 42 | 1 row 6 : 6 | levante ud | 30 | 32 | 14 | 4 | 12 | 49 | 42 | 7 row 7 : 7 | hercules cf | 30 | 32 | 14 | 4 | 12 | 55 | 46 | 9 row 8 : 8 | real murcia | 30 | 31 | 12 | 7 | 11 | 40 | 35 | 5 row 9 : 9 | real jaen | 30 | 31 | 14 | 3 | 13 | 58 | 42 | 16 row 10 : 10 | cadiz cf | 30 | 28 | 12 | 4 | 14 | 43 | 52 | -9 row 11 : 11 | cd cartagena | 30 | 28 | 13 | 2 | 15 | 45 | 56 | -11 row 12 : 12 | cd mestalla | 30 | 27 | 11 | 5 | 14 | 50 | 49 | 1 row 13 : 13 | albacete balompie | 30 | 27 | 10 | 7 | 13 | 27 | 32 | -5 row 14 : 14 | cd san fernando | 30 | 27 | 11 | 5 | 14 | 37 | 47 | -10 row 15 : 15 | atletico ceuta | 30 | 23 | 8 | 7 | 15 | 33 | 48 | -15 row 16 : 16 | cd villarrobledo | 30 | 12 | 4 | 4 | 22 | 26 | 79 | -53
table_csv/204_135.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
[ "what are all the names of the teams?", "of these, which teams had any losses?" ]
0
cordoba cf, cd malaga, granada cf, ud las palmas, recreativo de huelva, levante ud, hercules cf, real murcia, real jaen, cadiz cf, cd cartagena, cd mestalla, albacete balompie, cd san fernando, atletico ceuta, cd villarrobledo
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
of these, which teams had any losses?
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", "34", "14" ], [ "4", "UD Las Palmas", "30", "35", "15", "5", "10", "47", "39", "8" ], [ "5", "Recreativo de Huelva", "30", "33", "13", "7", "10", "43", "42", "1" ], [ "6", "Levante UD", "30", "32", "14", "4", "12", "49", "42", "7" ], [ "7", "Hercules CF", "30", "32", "14", "4", "12", "55", "46", "9" ], [ "8", "Real Murcia", "30", "31", "12", "7", "11", "40", "35", "5" ], [ "9", "Real Jaen", "30", "31", "14", "3", "13", "58", "42", "16" ], [ "10", "Cadiz CF", "30", "28", "12", "4", "14", "43", "52", "-9" ], [ "11", "CD Cartagena", "30", "28", "13", "2", "15", "45", "56", "-11" ], [ "12", "CD Mestalla", "30", "27", "11", "5", "14", "50", "49", "1" ], [ "13", "Albacete Balompie", "30", "27", "10", "7", "13", "27", "32", "-5" ], [ "14", "CD San Fernando", "30", "27", "11", "5", "14", "37", "47", "-10" ], [ "15", "Atletico Ceuta", "30", "23", "8", "7", "15", "33", "48", "-15" ], [ "16", "CD Villarrobledo", "30", "12", "4", "4", "22", "26", "79", "-53" ] ]
[ "Cordoba CF", "CD Malaga", "Granada CF", "UD Las Palmas", "Recreativo de Huelva", "Levante UD", "Hercules CF", "Real Murcia", "Real Jaen", "Cadiz CF", "CD Cartagena", "CD Mestalla", "Albacete Balompie", "CD San Fernando", "Atletico Ceuta", "CD Villarrobledo" ]
of these, which teams had any losses? || what are all the names of the teams?
nt-11649
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas | 30 | 35 | 15 | 5 | 10 | 47 | 39 | 8 row 5 : 5 | recreativo de huelva | 30 | 33 | 13 | 7 | 10 | 43 | 42 | 1 row 6 : 6 | levante ud | 30 | 32 | 14 | 4 | 12 | 49 | 42 | 7 row 7 : 7 | hercules cf | 30 | 32 | 14 | 4 | 12 | 55 | 46 | 9 row 8 : 8 | real murcia | 30 | 31 | 12 | 7 | 11 | 40 | 35 | 5 row 9 : 9 | real jaen | 30 | 31 | 14 | 3 | 13 | 58 | 42 | 16 row 10 : 10 | cadiz cf | 30 | 28 | 12 | 4 | 14 | 43 | 52 | -9 row 11 : 11 | cd cartagena | 30 | 28 | 13 | 2 | 15 | 45 | 56 | -11 row 12 : 12 | cd mestalla | 30 | 27 | 11 | 5 | 14 | 50 | 49 | 1 row 13 : 13 | albacete balompie | 30 | 27 | 10 | 7 | 13 | 27 | 32 | -5 row 14 : 14 | cd san fernando | 30 | 27 | 11 | 5 | 14 | 37 | 47 | -10 row 15 : 15 | atletico ceuta | 30 | 23 | 8 | 7 | 15 | 33 | 48 | -15 row 16 : 16 | cd villarrobledo | 30 | 12 | 4 | 4 | 22 | 26 | 79 | -53
table_csv/204_135.csv
2
{ "column_index": [ 1 ], "row_index": [ 15 ] }
[ "what are all the names of the teams?", "of these, which teams had any losses?", "of these teams, which had more than 21 losses?" ]
0
cd villarrobledo
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
of these teams, which had more than 21 losses?
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", "34", "14" ], [ "4", "UD Las Palmas", "30", "35", "15", "5", "10", "47", "39", "8" ], [ "5", "Recreativo de Huelva", "30", "33", "13", "7", "10", "43", "42", "1" ], [ "6", "Levante UD", "30", "32", "14", "4", "12", "49", "42", "7" ], [ "7", "Hercules CF", "30", "32", "14", "4", "12", "55", "46", "9" ], [ "8", "Real Murcia", "30", "31", "12", "7", "11", "40", "35", "5" ], [ "9", "Real Jaen", "30", "31", "14", "3", "13", "58", "42", "16" ], [ "10", "Cadiz CF", "30", "28", "12", "4", "14", "43", "52", "-9" ], [ "11", "CD Cartagena", "30", "28", "13", "2", "15", "45", "56", "-11" ], [ "12", "CD Mestalla", "30", "27", "11", "5", "14", "50", "49", "1" ], [ "13", "Albacete Balompie", "30", "27", "10", "7", "13", "27", "32", "-5" ], [ "14", "CD San Fernando", "30", "27", "11", "5", "14", "37", "47", "-10" ], [ "15", "Atletico Ceuta", "30", "23", "8", "7", "15", "33", "48", "-15" ], [ "16", "CD Villarrobledo", "30", "12", "4", "4", "22", "26", "79", "-53" ] ]
[ "CD Villarrobledo" ]
of these teams, which had more than 21 losses? || of these, which teams had any losses? | what are all the names of the teams?
nt-11649
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas | 30 | 35 | 15 | 5 | 10 | 47 | 39 | 8 row 5 : 5 | recreativo de huelva | 30 | 33 | 13 | 7 | 10 | 43 | 42 | 1 row 6 : 6 | levante ud | 30 | 32 | 14 | 4 | 12 | 49 | 42 | 7 row 7 : 7 | hercules cf | 30 | 32 | 14 | 4 | 12 | 55 | 46 | 9 row 8 : 8 | real murcia | 30 | 31 | 12 | 7 | 11 | 40 | 35 | 5 row 9 : 9 | real jaen | 30 | 31 | 14 | 3 | 13 | 58 | 42 | 16 row 10 : 10 | cadiz cf | 30 | 28 | 12 | 4 | 14 | 43 | 52 | -9 row 11 : 11 | cd cartagena | 30 | 28 | 13 | 2 | 15 | 45 | 56 | -11 row 12 : 12 | cd mestalla | 30 | 27 | 11 | 5 | 14 | 50 | 49 | 1 row 13 : 13 | albacete balompie | 30 | 27 | 10 | 7 | 13 | 27 | 32 | -5 row 14 : 14 | cd san fernando | 30 | 27 | 11 | 5 | 14 | 37 | 47 | -10 row 15 : 15 | atletico ceuta | 30 | 23 | 8 | 7 | 15 | 33 | 48 | -15 row 16 : 16 | cd villarrobledo | 30 | 12 | 4 | 4 | 22 | 26 | 79 | -53
table_csv/204_135.csv
0
{ "column_index": [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
[ "what are the losses?" ]
1
6, 6, 9, 10, 10, 12, 12, 11, 13, 14, 15, 14, 13, 14, 15, 22
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
what are the losses?
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", "34", "14" ], [ "4", "UD Las Palmas", "30", "35", "15", "5", "10", "47", "39", "8" ], [ "5", "Recreativo de Huelva", "30", "33", "13", "7", "10", "43", "42", "1" ], [ "6", "Levante UD", "30", "32", "14", "4", "12", "49", "42", "7" ], [ "7", "Hercules CF", "30", "32", "14", "4", "12", "55", "46", "9" ], [ "8", "Real Murcia", "30", "31", "12", "7", "11", "40", "35", "5" ], [ "9", "Real Jaen", "30", "31", "14", "3", "13", "58", "42", "16" ], [ "10", "Cadiz CF", "30", "28", "12", "4", "14", "43", "52", "-9" ], [ "11", "CD Cartagena", "30", "28", "13", "2", "15", "45", "56", "-11" ], [ "12", "CD Mestalla", "30", "27", "11", "5", "14", "50", "49", "1" ], [ "13", "Albacete Balompie", "30", "27", "10", "7", "13", "27", "32", "-5" ], [ "14", "CD San Fernando", "30", "27", "11", "5", "14", "37", "47", "-10" ], [ "15", "Atletico Ceuta", "30", "23", "8", "7", "15", "33", "48", "-15" ], [ "16", "CD Villarrobledo", "30", "12", "4", "4", "22", "26", "79", "-53" ] ]
[ "6", "6", "9", "10", "10", "12", "12", "11", "13", "14", "15", "14", "13", "14", "15", "22" ]
what are the losses? ||
nt-11649
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas | 30 | 35 | 15 | 5 | 10 | 47 | 39 | 8 row 5 : 5 | recreativo de huelva | 30 | 33 | 13 | 7 | 10 | 43 | 42 | 1 row 6 : 6 | levante ud | 30 | 32 | 14 | 4 | 12 | 49 | 42 | 7 row 7 : 7 | hercules cf | 30 | 32 | 14 | 4 | 12 | 55 | 46 | 9 row 8 : 8 | real murcia | 30 | 31 | 12 | 7 | 11 | 40 | 35 | 5 row 9 : 9 | real jaen | 30 | 31 | 14 | 3 | 13 | 58 | 42 | 16 row 10 : 10 | cadiz cf | 30 | 28 | 12 | 4 | 14 | 43 | 52 | -9 row 11 : 11 | cd cartagena | 30 | 28 | 13 | 2 | 15 | 45 | 56 | -11 row 12 : 12 | cd mestalla | 30 | 27 | 11 | 5 | 14 | 50 | 49 | 1 row 13 : 13 | albacete balompie | 30 | 27 | 10 | 7 | 13 | 27 | 32 | -5 row 14 : 14 | cd san fernando | 30 | 27 | 11 | 5 | 14 | 37 | 47 | -10 row 15 : 15 | atletico ceuta | 30 | 23 | 8 | 7 | 15 | 33 | 48 | -15 row 16 : 16 | cd villarrobledo | 30 | 12 | 4 | 4 | 22 | 26 | 79 | -53
table_csv/204_135.csv
1
{ "column_index": [ 1 ], "row_index": [ 15 ] }
[ "what are the losses?", "what team had more than 21 losses?" ]
1
cd villarrobledo
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
what team had more than 21 losses?
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", "34", "14" ], [ "4", "UD Las Palmas", "30", "35", "15", "5", "10", "47", "39", "8" ], [ "5", "Recreativo de Huelva", "30", "33", "13", "7", "10", "43", "42", "1" ], [ "6", "Levante UD", "30", "32", "14", "4", "12", "49", "42", "7" ], [ "7", "Hercules CF", "30", "32", "14", "4", "12", "55", "46", "9" ], [ "8", "Real Murcia", "30", "31", "12", "7", "11", "40", "35", "5" ], [ "9", "Real Jaen", "30", "31", "14", "3", "13", "58", "42", "16" ], [ "10", "Cadiz CF", "30", "28", "12", "4", "14", "43", "52", "-9" ], [ "11", "CD Cartagena", "30", "28", "13", "2", "15", "45", "56", "-11" ], [ "12", "CD Mestalla", "30", "27", "11", "5", "14", "50", "49", "1" ], [ "13", "Albacete Balompie", "30", "27", "10", "7", "13", "27", "32", "-5" ], [ "14", "CD San Fernando", "30", "27", "11", "5", "14", "37", "47", "-10" ], [ "15", "Atletico Ceuta", "30", "23", "8", "7", "15", "33", "48", "-15" ], [ "16", "CD Villarrobledo", "30", "12", "4", "4", "22", "26", "79", "-53" ] ]
[ "CD Villarrobledo" ]
what team had more than 21 losses? || what are the losses?
nt-11649
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas | 30 | 35 | 15 | 5 | 10 | 47 | 39 | 8 row 5 : 5 | recreativo de huelva | 30 | 33 | 13 | 7 | 10 | 43 | 42 | 1 row 6 : 6 | levante ud | 30 | 32 | 14 | 4 | 12 | 49 | 42 | 7 row 7 : 7 | hercules cf | 30 | 32 | 14 | 4 | 12 | 55 | 46 | 9 row 8 : 8 | real murcia | 30 | 31 | 12 | 7 | 11 | 40 | 35 | 5 row 9 : 9 | real jaen | 30 | 31 | 14 | 3 | 13 | 58 | 42 | 16 row 10 : 10 | cadiz cf | 30 | 28 | 12 | 4 | 14 | 43 | 52 | -9 row 11 : 11 | cd cartagena | 30 | 28 | 13 | 2 | 15 | 45 | 56 | -11 row 12 : 12 | cd mestalla | 30 | 27 | 11 | 5 | 14 | 50 | 49 | 1 row 13 : 13 | albacete balompie | 30 | 27 | 10 | 7 | 13 | 27 | 32 | -5 row 14 : 14 | cd san fernando | 30 | 27 | 11 | 5 | 14 | 37 | 47 | -10 row 15 : 15 | atletico ceuta | 30 | 23 | 8 | 7 | 15 | 33 | 48 | -15 row 16 : 16 | cd villarrobledo | 30 | 12 | 4 | 4 | 22 | 26 | 79 | -53
table_csv/204_135.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
[ "what were all the teams?" ]
2
cordoba cf, cd malaga, granada cf, ud las palmas, recreativo de huelva, levante ud, hercules cf, real murcia, real jaen, cadiz cf, cd cartagena, cd mestalla, albacete balompie, cd san fernando, atletico ceuta, cd villarrobledo
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
what were all the teams?
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", "34", "14" ], [ "4", "UD Las Palmas", "30", "35", "15", "5", "10", "47", "39", "8" ], [ "5", "Recreativo de Huelva", "30", "33", "13", "7", "10", "43", "42", "1" ], [ "6", "Levante UD", "30", "32", "14", "4", "12", "49", "42", "7" ], [ "7", "Hercules CF", "30", "32", "14", "4", "12", "55", "46", "9" ], [ "8", "Real Murcia", "30", "31", "12", "7", "11", "40", "35", "5" ], [ "9", "Real Jaen", "30", "31", "14", "3", "13", "58", "42", "16" ], [ "10", "Cadiz CF", "30", "28", "12", "4", "14", "43", "52", "-9" ], [ "11", "CD Cartagena", "30", "28", "13", "2", "15", "45", "56", "-11" ], [ "12", "CD Mestalla", "30", "27", "11", "5", "14", "50", "49", "1" ], [ "13", "Albacete Balompie", "30", "27", "10", "7", "13", "27", "32", "-5" ], [ "14", "CD San Fernando", "30", "27", "11", "5", "14", "37", "47", "-10" ], [ "15", "Atletico Ceuta", "30", "23", "8", "7", "15", "33", "48", "-15" ], [ "16", "CD Villarrobledo", "30", "12", "4", "4", "22", "26", "79", "-53" ] ]
[ "Cordoba CF", "CD Malaga", "Granada CF", "UD Las Palmas", "Recreativo de Huelva", "Levante UD", "Hercules CF", "Real Murcia", "Real Jaen", "Cadiz CF", "CD Cartagena", "CD Mestalla", "Albacete Balompie", "CD San Fernando", "Atletico Ceuta", "CD Villarrobledo" ]
what were all the teams? ||
nt-11649
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas | 30 | 35 | 15 | 5 | 10 | 47 | 39 | 8 row 5 : 5 | recreativo de huelva | 30 | 33 | 13 | 7 | 10 | 43 | 42 | 1 row 6 : 6 | levante ud | 30 | 32 | 14 | 4 | 12 | 49 | 42 | 7 row 7 : 7 | hercules cf | 30 | 32 | 14 | 4 | 12 | 55 | 46 | 9 row 8 : 8 | real murcia | 30 | 31 | 12 | 7 | 11 | 40 | 35 | 5 row 9 : 9 | real jaen | 30 | 31 | 14 | 3 | 13 | 58 | 42 | 16 row 10 : 10 | cadiz cf | 30 | 28 | 12 | 4 | 14 | 43 | 52 | -9 row 11 : 11 | cd cartagena | 30 | 28 | 13 | 2 | 15 | 45 | 56 | -11 row 12 : 12 | cd mestalla | 30 | 27 | 11 | 5 | 14 | 50 | 49 | 1 row 13 : 13 | albacete balompie | 30 | 27 | 10 | 7 | 13 | 27 | 32 | -5 row 14 : 14 | cd san fernando | 30 | 27 | 11 | 5 | 14 | 37 | 47 | -10 row 15 : 15 | atletico ceuta | 30 | 23 | 8 | 7 | 15 | 33 | 48 | -15 row 16 : 16 | cd villarrobledo | 30 | 12 | 4 | 4 | 22 | 26 | 79 | -53
table_csv/204_135.csv
1
{ "column_index": [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
[ "what were all the teams?", "what were the loss totals of all these teams?" ]
2
6, 6, 9, 10, 10, 12, 12, 11, 13, 14, 15, 14, 13, 14, 15, 22
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
what were the loss totals of all these teams?
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", "34", "14" ], [ "4", "UD Las Palmas", "30", "35", "15", "5", "10", "47", "39", "8" ], [ "5", "Recreativo de Huelva", "30", "33", "13", "7", "10", "43", "42", "1" ], [ "6", "Levante UD", "30", "32", "14", "4", "12", "49", "42", "7" ], [ "7", "Hercules CF", "30", "32", "14", "4", "12", "55", "46", "9" ], [ "8", "Real Murcia", "30", "31", "12", "7", "11", "40", "35", "5" ], [ "9", "Real Jaen", "30", "31", "14", "3", "13", "58", "42", "16" ], [ "10", "Cadiz CF", "30", "28", "12", "4", "14", "43", "52", "-9" ], [ "11", "CD Cartagena", "30", "28", "13", "2", "15", "45", "56", "-11" ], [ "12", "CD Mestalla", "30", "27", "11", "5", "14", "50", "49", "1" ], [ "13", "Albacete Balompie", "30", "27", "10", "7", "13", "27", "32", "-5" ], [ "14", "CD San Fernando", "30", "27", "11", "5", "14", "37", "47", "-10" ], [ "15", "Atletico Ceuta", "30", "23", "8", "7", "15", "33", "48", "-15" ], [ "16", "CD Villarrobledo", "30", "12", "4", "4", "22", "26", "79", "-53" ] ]
[ "6", "6", "9", "10", "10", "12", "12", "11", "13", "14", "15", "14", "13", "14", "15", "22" ]
what were the loss totals of all these teams? || what were all the teams?
nt-11649
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas | 30 | 35 | 15 | 5 | 10 | 47 | 39 | 8 row 5 : 5 | recreativo de huelva | 30 | 33 | 13 | 7 | 10 | 43 | 42 | 1 row 6 : 6 | levante ud | 30 | 32 | 14 | 4 | 12 | 49 | 42 | 7 row 7 : 7 | hercules cf | 30 | 32 | 14 | 4 | 12 | 55 | 46 | 9 row 8 : 8 | real murcia | 30 | 31 | 12 | 7 | 11 | 40 | 35 | 5 row 9 : 9 | real jaen | 30 | 31 | 14 | 3 | 13 | 58 | 42 | 16 row 10 : 10 | cadiz cf | 30 | 28 | 12 | 4 | 14 | 43 | 52 | -9 row 11 : 11 | cd cartagena | 30 | 28 | 13 | 2 | 15 | 45 | 56 | -11 row 12 : 12 | cd mestalla | 30 | 27 | 11 | 5 | 14 | 50 | 49 | 1 row 13 : 13 | albacete balompie | 30 | 27 | 10 | 7 | 13 | 27 | 32 | -5 row 14 : 14 | cd san fernando | 30 | 27 | 11 | 5 | 14 | 37 | 47 | -10 row 15 : 15 | atletico ceuta | 30 | 23 | 8 | 7 | 15 | 33 | 48 | -15 row 16 : 16 | cd villarrobledo | 30 | 12 | 4 | 4 | 22 | 26 | 79 | -53
table_csv/204_135.csv
2
{ "column_index": [ 6 ], "row_index": [ 15 ] }
[ "what were all the teams?", "what were the loss totals of all these teams?", "of these totals, which are greater than 21?" ]
2
22
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
of these totals, which are greater than 21?
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", "34", "14" ], [ "4", "UD Las Palmas", "30", "35", "15", "5", "10", "47", "39", "8" ], [ "5", "Recreativo de Huelva", "30", "33", "13", "7", "10", "43", "42", "1" ], [ "6", "Levante UD", "30", "32", "14", "4", "12", "49", "42", "7" ], [ "7", "Hercules CF", "30", "32", "14", "4", "12", "55", "46", "9" ], [ "8", "Real Murcia", "30", "31", "12", "7", "11", "40", "35", "5" ], [ "9", "Real Jaen", "30", "31", "14", "3", "13", "58", "42", "16" ], [ "10", "Cadiz CF", "30", "28", "12", "4", "14", "43", "52", "-9" ], [ "11", "CD Cartagena", "30", "28", "13", "2", "15", "45", "56", "-11" ], [ "12", "CD Mestalla", "30", "27", "11", "5", "14", "50", "49", "1" ], [ "13", "Albacete Balompie", "30", "27", "10", "7", "13", "27", "32", "-5" ], [ "14", "CD San Fernando", "30", "27", "11", "5", "14", "37", "47", "-10" ], [ "15", "Atletico Ceuta", "30", "23", "8", "7", "15", "33", "48", "-15" ], [ "16", "CD Villarrobledo", "30", "12", "4", "4", "22", "26", "79", "-53" ] ]
[ "22" ]
of these totals, which are greater than 21? || what were the loss totals of all these teams? | what were all the teams?
nt-11649
col : position | club | played | points | wins | draws | losses | goals for | goals against | goal difference row 1 : 1 | cordoba cf | 30 | 40 | 16 | 8 | 6 | 48 | 22 | 26 row 2 : 2 | cd malaga | 30 | 38 | 14 | 10 | 6 | 52 | 36 | 16 row 3 : 3 | granada cf | 30 | 36 | 15 | 6 | 9 | 48 | 34 | 14 row 4 : 4 | ud las palmas | 30 | 35 | 15 | 5 | 10 | 47 | 39 | 8 row 5 : 5 | recreativo de huelva | 30 | 33 | 13 | 7 | 10 | 43 | 42 | 1 row 6 : 6 | levante ud | 30 | 32 | 14 | 4 | 12 | 49 | 42 | 7 row 7 : 7 | hercules cf | 30 | 32 | 14 | 4 | 12 | 55 | 46 | 9 row 8 : 8 | real murcia | 30 | 31 | 12 | 7 | 11 | 40 | 35 | 5 row 9 : 9 | real jaen | 30 | 31 | 14 | 3 | 13 | 58 | 42 | 16 row 10 : 10 | cadiz cf | 30 | 28 | 12 | 4 | 14 | 43 | 52 | -9 row 11 : 11 | cd cartagena | 30 | 28 | 13 | 2 | 15 | 45 | 56 | -11 row 12 : 12 | cd mestalla | 30 | 27 | 11 | 5 | 14 | 50 | 49 | 1 row 13 : 13 | albacete balompie | 30 | 27 | 10 | 7 | 13 | 27 | 32 | -5 row 14 : 14 | cd san fernando | 30 | 27 | 11 | 5 | 14 | 37 | 47 | -10 row 15 : 15 | atletico ceuta | 30 | 23 | 8 | 7 | 15 | 33 | 48 | -15 row 16 : 16 | cd villarrobledo | 30 | 12 | 4 | 4 | 22 | 26 | 79 | -53
table_csv/204_135.csv
3
{ "column_index": [ 1 ], "row_index": [ 15 ] }
[ "what were all the teams?", "what were the loss totals of all these teams?", "of these totals, which are greater than 21?", "which team had this loss total?" ]
2
cd villarrobledo
[ "Position", "Club", "Played", "Points", "Wins", "Draws", "Losses", "Goals for", "Goals against", "Goal Difference" ]
which team had this loss total?
[ [ "1", "Cordoba CF", "30", "40", "16", "8", "6", "48", "22", "26" ], [ "2", "CD Malaga", "30", "38", "14", "10", "6", "52", "36", "16" ], [ "3", "Granada CF", "30", "36", "15", "6", "9", "48", "34", "14" ], [ "4", "UD Las Palmas", "30", "35", "15", "5", "10", "47", "39", "8" ], [ "5", "Recreativo de Huelva", "30", "33", "13", "7", "10", "43", "42", "1" ], [ "6", "Levante UD", "30", "32", "14", "4", "12", "49", "42", "7" ], [ "7", "Hercules CF", "30", "32", "14", "4", "12", "55", "46", "9" ], [ "8", "Real Murcia", "30", "31", "12", "7", "11", "40", "35", "5" ], [ "9", "Real Jaen", "30", "31", "14", "3", "13", "58", "42", "16" ], [ "10", "Cadiz CF", "30", "28", "12", "4", "14", "43", "52", "-9" ], [ "11", "CD Cartagena", "30", "28", "13", "2", "15", "45", "56", "-11" ], [ "12", "CD Mestalla", "30", "27", "11", "5", "14", "50", "49", "1" ], [ "13", "Albacete Balompie", "30", "27", "10", "7", "13", "27", "32", "-5" ], [ "14", "CD San Fernando", "30", "27", "11", "5", "14", "37", "47", "-10" ], [ "15", "Atletico Ceuta", "30", "23", "8", "7", "15", "33", "48", "-15" ], [ "16", "CD Villarrobledo", "30", "12", "4", "4", "22", "26", "79", "-53" ] ]
[ "CD Villarrobledo" ]
which team had this loss total? || of these totals, which are greater than 21? | what were the loss totals of all these teams? | what were all the teams?
nt-10730
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": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what was the production numbers of each revolver model?" ]
0
1,900 (estimated), 14,500 (estimated), 6,000 (estimated), 7,000 (estimated), 122,000 (approximately), 28,000 (approximately), 2,500 - 3,000 (estimated), 3,000 - 5,000 (estimated), 25,000 (estimated), 25,000 (estimated)
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
what was the production numbers of each revolver model?
[ [ "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" ] ]
[ "1,900 (estimated)", "14,500 (estimated)", "6,000 (estimated)", "7,000 (estimated)", "122,000 (approximately)", "28,000 (approximately)", "2,500 - 3,000 (estimated)", "3,000 - 5,000 (estimated)", "25,000 (estimated)", "25,000 (estimated)" ]
what was the production numbers of each revolver model? ||
nt-10730
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": [ 4 ], "row_index": [ 0 ] }
[ "what was the production numbers of each revolver model?", "which of these was the lowest number produced?" ]
0
1,900 (estimated)
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
which of these was the lowest number produced?
[ [ "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" ] ]
[ "1,900 (estimated)" ]
which of these was the lowest number produced? || what was the production numbers of each revolver model?
nt-10730
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
2
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what was the production numbers of each revolver model?", "which of these was the lowest number produced?", "which model did this number belong to?" ]
0
remington-beals army model revolver
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
which model did this number belong to?
[ [ "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" ]
which model did this number belong to? || which of these was the lowest number produced? | what was the production numbers of each revolver model?
nt-10730
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 ], "row_index": [ 0, 6, 7 ] }
[ "what three revolver models had the least amount of production?" ]
1
remington-beals army model revolver, new model single action belt revolver, remington-rider double action new model belt revolver
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
what three revolver models had the least amount of production?
[ [ "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", "New Model Single Action Belt Revolver", "Remington-Rider Double Action New Model Belt Revolver" ]
what three revolver models had the least amount of production? ||
nt-10730
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": [ 0 ] }
[ "what three revolver models had the least amount of production?", "which one had the lowest?" ]
1
remington-beals army model revolver
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
which one had the lowest?
[ [ "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" ]
which one had the lowest? || what three revolver models had the least amount of production?
nt-10730
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 all of the remington models?" ]
2
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 all of 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 all of the remington models? ||
nt-10730
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": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are all of the remington models?", "how many were produced?" ]
2
1,900 (estimated), 14,500 (estimated), 6,000 (estimated), 7,000 (estimated), 122,000 (approximately), 28,000 (approximately), 2,500 - 3,000 (estimated), 3,000 - 5,000 (estimated), 25,000 (estimated), 25,000 (estimated)
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
how many were produced?
[ [ "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" ] ]
[ "1,900 (estimated)", "14,500 (estimated)", "6,000 (estimated)", "7,000 (estimated)", "122,000 (approximately)", "28,000 (approximately)", "2,500 - 3,000 (estimated)", "3,000 - 5,000 (estimated)", "25,000 (estimated)", "25,000 (estimated)" ]
how many were produced? || what are all of the remington models?
nt-10730
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
2
{ "column_index": [ 0 ], "row_index": [ 0 ] }
[ "what are all of the remington models?", "how many were produced?", "which model was the least produced?" ]
2
remington-beals army model revolver
[ "Model", "Frame", "Years Mfg'd", "Caliber(s)", "Production", "Barrel", "Notes" ]
which model was the least produced?
[ [ "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" ]
which model was the least produced? || how many were produced? | what are all of the remington models?
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
[ "which nations competed in the 2004 african judo championships?" ]
0
algeria, tunisia, egypt, cameroon, morocco, south africa, angola, burkina faso, gabon, madagascar, nigeria, senegal, congo republic, ivory coast, guinea, niger
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which nations competed in the 2004 african judo championships?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Algeria", "Tunisia", "Egypt", "Cameroon", "Morocco", "South Africa", "Angola", "Burkina Faso", "Gabon", "Madagascar", "Nigeria", "Senegal", "Congo Republic", "Ivory Coast", "Guinea", "Niger" ]
which nations competed in the 2004 african judo championships? ||
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
1
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 1, 2 ] }
[ "which nations competed in the 2004 african judo championships?", "of these, which earned more than 7 total medals?" ]
0
algeria, tunisia, egypt
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of these, which earned more than 7 total medals?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Algeria", "Tunisia", "Egypt" ]
of these, which earned more than 7 total medals? || which nations competed in the 2004 african judo championships?
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
2
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which nations competed in the 2004 african judo championships?", "of these, which earned more than 7 total medals?", "of the remaining, which earned the most bronze medals?" ]
0
tunisia
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of the remaining, which earned the most bronze medals?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Tunisia" ]
of the remaining, which earned the most bronze medals? || of these, which earned more than 7 total medals? | which nations competed in the 2004 african judo championships?
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
[ "which nations competed in the 2004 african judo championships?" ]
1
algeria, tunisia, egypt, cameroon, morocco, south africa, angola, burkina faso, gabon, madagascar, nigeria, senegal, congo republic, ivory coast, guinea, niger
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which nations competed in the 2004 african judo championships?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Algeria", "Tunisia", "Egypt", "Cameroon", "Morocco", "South Africa", "Angola", "Burkina Faso", "Gabon", "Madagascar", "Nigeria", "Senegal", "Congo Republic", "Ivory Coast", "Guinea", "Niger" ]
which nations competed in the 2004 african judo championships? ||
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
1
{ "column_index": [ 4, 4, 4, 4, 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, 12, 13, 14, 15 ] }
[ "which nations competed in the 2004 african judo championships?", "and how many bronze medals did they win?" ]
1
0, 5, 3, 5, 5, 1, 0, 0, 0, 0, 3, 2, 1, 1, 1, 1
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
and how many bronze medals did they win?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "0", "5", "3", "5", "5", "1", "0", "0", "0", "0", "3", "2", "1", "1", "1", "1" ]
and how many bronze medals did they win? || which nations competed in the 2004 african judo championships?
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
2
{ "column_index": [ 4, 4, 4 ], "row_index": [ 0, 1, 2 ] }
[ "which nations competed in the 2004 african judo championships?", "and how many bronze medals did they win?", "how many did just algeria, tunisia, and egypt receive?" ]
1
0, 5, 3
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many did just algeria, tunisia, and egypt receive?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "0", "5", "3" ]
how many did just algeria, tunisia, and egypt receive? || and how many bronze medals did they win? | which nations competed in the 2004 african judo championships?
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
3
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which nations competed in the 2004 african judo championships?", "and how many bronze medals did they win?", "how many did just algeria, tunisia, and egypt receive?", "and of those medals, which nation won more?" ]
1
tunisia
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
and of those medals, which nation won more?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Tunisia" ]
and of those medals, which nation won more? || how many did just algeria, tunisia, and egypt receive? | and how many bronze medals did they win? | which nations competed in the 2004 african judo championships?
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
[ "what are the names of the competing nations?" ]
2
algeria, tunisia, egypt, cameroon, morocco, south africa, angola, burkina faso, gabon, madagascar, nigeria, senegal, congo republic, ivory coast, guinea, niger
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what are the names of the competing nations?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Algeria", "Tunisia", "Egypt", "Cameroon", "Morocco", "South Africa", "Angola", "Burkina Faso", "Gabon", "Madagascar", "Nigeria", "Senegal", "Congo Republic", "Ivory Coast", "Guinea", "Niger" ]
what are the names of the competing nations? ||
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 1, 2, 3, 4, 5, 10, 11, 12, 13, 14, 15 ] }
[ "what are the names of the competing nations?", "which nations won at least 1 bronze medal?" ]
2
tunisia, egypt, cameroon, morocco, south africa, nigeria, senegal, congo republic, ivory coast, guinea, niger
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which nations won at least 1 bronze medal?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Tunisia", "Egypt", "Cameroon", "Morocco", "South Africa", "Nigeria", "Senegal", "Congo Republic", "Ivory Coast", "Guinea", "Niger" ]
which nations won at least 1 bronze medal? || what are the names of the competing nations?
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
2
{ "column_index": [ 1, 1, 1 ], "row_index": [ 1, 3, 4 ] }
[ "what are the names of the competing nations?", "which nations won at least 1 bronze medal?", "of these, which won at least 5 bronze medals?" ]
2
tunisia, cameroon, morocco
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of these, which won at least 5 bronze medals?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Tunisia", "Cameroon", "Morocco" ]
of these, which won at least 5 bronze medals? || which nations won at least 1 bronze medal? | what are the names of the competing nations?
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
3
{ "column_index": [ 1, 1, 1, 1, 1 ], "row_index": [ 0, 6, 7, 8, 9 ] }
[ "what are the names of the competing nations?", "which nations won at least 1 bronze medal?", "of these, which won at least 5 bronze medals?", "which nations won less than 1 bronze medal?" ]
2
algeria, angola, burkina faso, gabon, madagascar
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which nations won less than 1 bronze medal?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Algeria", "Angola", "Burkina Faso", "Gabon", "Madagascar" ]
which nations won less than 1 bronze medal? || of these, which won at least 5 bronze medals? | which nations won at least 1 bronze medal? | what are the names of the competing nations?
nt-11137
col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1
table_csv/204_34.csv
4
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what are the names of the competing nations?", "which nations won at least 1 bronze medal?", "of these, which won at least 5 bronze medals?", "which nations won less than 1 bronze medal?", "which nation, algeria, tunisia, or egypt, won the most bronze medals?" ]
2
tunisia
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which nation, algeria, tunisia, or egypt, won the most bronze medals?
[ [ "1", "Algeria", "8", "3", "0", "11" ], [ "2", "Tunisia", "4", "3", "5", "12" ], [ "3", "Egypt", "3", "3", "3", "9" ], [ "4", "Cameroon", "1", "1", "5", "7" ], [ "5", "Morocco", "0", "1", "5", "5" ], [ "6", "South Africa", "0", "1", "1", "2" ], [ "7", "Angola", "0", "1", "0", "1" ], [ "7", "Burkina Faso", "0", "1", "0", "1" ], [ "7", "Gabon", "0", "1", "0", "1" ], [ "7", "Madagascar", "0", "1", "0", "1" ], [ "11", "Nigeria", "0", "0", "3", "3" ], [ "12", "Senegal", "0", "0", "2", "2" ], [ "13", "Congo Republic", "0", "0", "1", "1" ], [ "13", "Ivory Coast", "0", "0", "1", "1" ], [ "13", "Guinea", "0", "0", "1", "1" ], [ "13", "Niger", "0", "0", "1", "1" ] ]
[ "Tunisia" ]
which nation, algeria, tunisia, or egypt, won the most bronze medals? || which nations won less than 1 bronze medal? | of these, which won at least 5 bronze medals? | which nations won at least 1 bronze medal? | what are the names of the competing nations?
ns-1292
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan row 6 : 6.0 | paul sievert | germany | 5:16:41 | nan row 7 : 7.0 | henri quintric | france | 5:27:25 | nan row 8 : 8.0 | ernie crosbie | united states | 5:28:02 | nan row 9 : 9.0 | bill chisholm | united states | 5:51:00 | nan row 10 : 10.0 | alfred maasik | estonia | 6:19:00 | nan row 11 : nan | henry cieman | canada | nan | dnf row 12 : nan | john moralis | greece | nan | dnf row 13 : nan | francesco pretti | italy | nan | dnf row 14 : nan | arthur tell schwab | switzerland | nan | dnf row 15 : nan | harry hinkel | united states | nan | dnf
table_csv/204_521.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "who are all the athletes?" ]
0
tommy green, janis dalins, ugo frigerio, karl hahnel, ettore rivolta, paul sievert, henri quintric, ernie crosbie, bill chisholm, alfred maasik, henry cieman, john moralis, francesco pretti, arthur tell schwab, harry hinkel
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
who are all the athletes?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ], [ "5.0", "Ettore Rivolta", "Italy", "5:07:39", "nan" ], [ "6.0", "Paul Sievert", "Germany", "5:16:41", "nan" ], [ "7.0", "Henri Quintric", "France", "5:27:25", "nan" ], [ "8.0", "Ernie Crosbie", "United States", "5:28:02", "nan" ], [ "9.0", "Bill Chisholm", "United States", "5:51:00", "nan" ], [ "10.0", "Alfred Maasik", "Estonia", "6:19:00", "nan" ], [ "nan", "Henry Cieman", "Canada", "nan", "DNF" ], [ "nan", "John Moralis", "Greece", "nan", "DNF" ], [ "nan", "Francesco Pretti", "Italy", "nan", "DNF" ], [ "nan", "Arthur Tell Schwab", "Switzerland", "nan", "DNF" ], [ "nan", "Harry Hinkel", "United States", "nan", "DNF" ] ]
[ "Tommy Green", "Janis Dalins", "Ugo Frigerio", "Karl Hahnel", "Ettore Rivolta", "Paul Sievert", "Henri Quintric", "Ernie Crosbie", "Bill Chisholm", "Alfred Maasik", "Henry Cieman", "John Moralis", "Francesco Pretti", "Arthur Tell Schwab", "Harry Hinkel" ]
who are all the athletes? ||
ns-1292
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan row 6 : 6.0 | paul sievert | germany | 5:16:41 | nan row 7 : 7.0 | henri quintric | france | 5:27:25 | nan row 8 : 8.0 | ernie crosbie | united states | 5:28:02 | nan row 9 : 9.0 | bill chisholm | united states | 5:51:00 | nan row 10 : 10.0 | alfred maasik | estonia | 6:19:00 | nan row 11 : nan | henry cieman | canada | nan | dnf row 12 : nan | john moralis | greece | nan | dnf row 13 : nan | francesco pretti | italy | nan | dnf row 14 : nan | arthur tell schwab | switzerland | nan | dnf row 15 : nan | harry hinkel | united states | nan | dnf
table_csv/204_521.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "who are all the athletes?", "where are they from?" ]
0
great britain, latvia, italy, germany, italy, germany, france, united states, united states, estonia, canada, greece, italy, switzerland, united states
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
where are they from?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ], [ "5.0", "Ettore Rivolta", "Italy", "5:07:39", "nan" ], [ "6.0", "Paul Sievert", "Germany", "5:16:41", "nan" ], [ "7.0", "Henri Quintric", "France", "5:27:25", "nan" ], [ "8.0", "Ernie Crosbie", "United States", "5:28:02", "nan" ], [ "9.0", "Bill Chisholm", "United States", "5:51:00", "nan" ], [ "10.0", "Alfred Maasik", "Estonia", "6:19:00", "nan" ], [ "nan", "Henry Cieman", "Canada", "nan", "DNF" ], [ "nan", "John Moralis", "Greece", "nan", "DNF" ], [ "nan", "Francesco Pretti", "Italy", "nan", "DNF" ], [ "nan", "Arthur Tell Schwab", "Switzerland", "nan", "DNF" ], [ "nan", "Harry Hinkel", "United States", "nan", "DNF" ] ]
[ "Great Britain", "Latvia", "Italy", "Germany", "Italy", "Germany", "France", "United States", "United States", "Estonia", "Canada", "Greece", "Italy", "Switzerland", "United States" ]
where are they from? || who are all the athletes?
ns-1292
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan row 6 : 6.0 | paul sievert | germany | 5:16:41 | nan row 7 : 7.0 | henri quintric | france | 5:27:25 | nan row 8 : 8.0 | ernie crosbie | united states | 5:28:02 | nan row 9 : 9.0 | bill chisholm | united states | 5:51:00 | nan row 10 : 10.0 | alfred maasik | estonia | 6:19:00 | nan row 11 : nan | henry cieman | canada | nan | dnf row 12 : nan | john moralis | greece | nan | dnf row 13 : nan | francesco pretti | italy | nan | dnf row 14 : nan | arthur tell schwab | switzerland | nan | dnf row 15 : nan | harry hinkel | united states | nan | dnf
table_csv/204_521.csv
2
{ "column_index": [ 1 ], "row_index": [ 3 ] }
[ "who are all the athletes?", "where are they from?", "along with paul sievert, which athlete is from germany?" ]
0
karl hahnel
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
along with paul sievert, which athlete is from germany?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ], [ "5.0", "Ettore Rivolta", "Italy", "5:07:39", "nan" ], [ "6.0", "Paul Sievert", "Germany", "5:16:41", "nan" ], [ "7.0", "Henri Quintric", "France", "5:27:25", "nan" ], [ "8.0", "Ernie Crosbie", "United States", "5:28:02", "nan" ], [ "9.0", "Bill Chisholm", "United States", "5:51:00", "nan" ], [ "10.0", "Alfred Maasik", "Estonia", "6:19:00", "nan" ], [ "nan", "Henry Cieman", "Canada", "nan", "DNF" ], [ "nan", "John Moralis", "Greece", "nan", "DNF" ], [ "nan", "Francesco Pretti", "Italy", "nan", "DNF" ], [ "nan", "Arthur Tell Schwab", "Switzerland", "nan", "DNF" ], [ "nan", "Harry Hinkel", "United States", "nan", "DNF" ] ]
[ "Karl Hahnel" ]
along with paul sievert, which athlete is from germany? || where are they from? | who are all the athletes?
ns-1292
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan row 6 : 6.0 | paul sievert | germany | 5:16:41 | nan row 7 : 7.0 | henri quintric | france | 5:27:25 | nan row 8 : 8.0 | ernie crosbie | united states | 5:28:02 | nan row 9 : 9.0 | bill chisholm | united states | 5:51:00 | nan row 10 : 10.0 | alfred maasik | estonia | 6:19:00 | nan row 11 : nan | henry cieman | canada | nan | dnf row 12 : nan | john moralis | greece | nan | dnf row 13 : nan | francesco pretti | italy | nan | dnf row 14 : nan | arthur tell schwab | switzerland | nan | dnf row 15 : nan | harry hinkel | united states | nan | dnf
table_csv/204_521.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "who competed in the men's 50 kilometer walk at the 1932 summer olympics?" ]
1
tommy green, janis dalins, ugo frigerio, karl hahnel, ettore rivolta, paul sievert, henri quintric, ernie crosbie, bill chisholm, alfred maasik, henry cieman, john moralis, francesco pretti, arthur tell schwab, harry hinkel
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
who competed in the men's 50 kilometer walk at the 1932 summer olympics?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ], [ "5.0", "Ettore Rivolta", "Italy", "5:07:39", "nan" ], [ "6.0", "Paul Sievert", "Germany", "5:16:41", "nan" ], [ "7.0", "Henri Quintric", "France", "5:27:25", "nan" ], [ "8.0", "Ernie Crosbie", "United States", "5:28:02", "nan" ], [ "9.0", "Bill Chisholm", "United States", "5:51:00", "nan" ], [ "10.0", "Alfred Maasik", "Estonia", "6:19:00", "nan" ], [ "nan", "Henry Cieman", "Canada", "nan", "DNF" ], [ "nan", "John Moralis", "Greece", "nan", "DNF" ], [ "nan", "Francesco Pretti", "Italy", "nan", "DNF" ], [ "nan", "Arthur Tell Schwab", "Switzerland", "nan", "DNF" ], [ "nan", "Harry Hinkel", "United States", "nan", "DNF" ] ]
[ "Tommy Green", "Janis Dalins", "Ugo Frigerio", "Karl Hahnel", "Ettore Rivolta", "Paul Sievert", "Henri Quintric", "Ernie Crosbie", "Bill Chisholm", "Alfred Maasik", "Henry Cieman", "John Moralis", "Francesco Pretti", "Arthur Tell Schwab", "Harry Hinkel" ]
who competed in the men's 50 kilometer walk at the 1932 summer olympics? ||
ns-1292
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan row 6 : 6.0 | paul sievert | germany | 5:16:41 | nan row 7 : 7.0 | henri quintric | france | 5:27:25 | nan row 8 : 8.0 | ernie crosbie | united states | 5:28:02 | nan row 9 : 9.0 | bill chisholm | united states | 5:51:00 | nan row 10 : 10.0 | alfred maasik | estonia | 6:19:00 | nan row 11 : nan | henry cieman | canada | nan | dnf row 12 : nan | john moralis | greece | nan | dnf row 13 : nan | francesco pretti | italy | nan | dnf row 14 : nan | arthur tell schwab | switzerland | nan | dnf row 15 : nan | harry hinkel | united states | nan | dnf
table_csv/204_521.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 3, 5 ] }
[ "who competed in the men's 50 kilometer walk at the 1932 summer olympics?", "of those competitors in the 1932 summer olympics men's 50 kilometer walk, which ones were from germany?" ]
1
karl hahnel, paul sievert
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
of those competitors in the 1932 summer olympics men's 50 kilometer walk, which ones were from germany?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ], [ "5.0", "Ettore Rivolta", "Italy", "5:07:39", "nan" ], [ "6.0", "Paul Sievert", "Germany", "5:16:41", "nan" ], [ "7.0", "Henri Quintric", "France", "5:27:25", "nan" ], [ "8.0", "Ernie Crosbie", "United States", "5:28:02", "nan" ], [ "9.0", "Bill Chisholm", "United States", "5:51:00", "nan" ], [ "10.0", "Alfred Maasik", "Estonia", "6:19:00", "nan" ], [ "nan", "Henry Cieman", "Canada", "nan", "DNF" ], [ "nan", "John Moralis", "Greece", "nan", "DNF" ], [ "nan", "Francesco Pretti", "Italy", "nan", "DNF" ], [ "nan", "Arthur Tell Schwab", "Switzerland", "nan", "DNF" ], [ "nan", "Harry Hinkel", "United States", "nan", "DNF" ] ]
[ "Karl Hahnel", "Paul Sievert" ]
of those competitors in the 1932 summer olympics men's 50 kilometer walk, which ones were from germany? || who competed in the men's 50 kilometer walk at the 1932 summer olympics?
ns-1292
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan row 6 : 6.0 | paul sievert | germany | 5:16:41 | nan row 7 : 7.0 | henri quintric | france | 5:27:25 | nan row 8 : 8.0 | ernie crosbie | united states | 5:28:02 | nan row 9 : 9.0 | bill chisholm | united states | 5:51:00 | nan row 10 : 10.0 | alfred maasik | estonia | 6:19:00 | nan row 11 : nan | henry cieman | canada | nan | dnf row 12 : nan | john moralis | greece | nan | dnf row 13 : nan | francesco pretti | italy | nan | dnf row 14 : nan | arthur tell schwab | switzerland | nan | dnf row 15 : nan | harry hinkel | united states | nan | dnf
table_csv/204_521.csv
2
{ "column_index": [ 1 ], "row_index": [ 3 ] }
[ "who competed in the men's 50 kilometer walk at the 1932 summer olympics?", "of those competitors in the 1932 summer olympics men's 50 kilometer walk, which ones were from germany?", "of those competitors from germany, which was not paul sievert?" ]
1
karl hahnel
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
of those competitors from germany, which was not paul sievert?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ], [ "5.0", "Ettore Rivolta", "Italy", "5:07:39", "nan" ], [ "6.0", "Paul Sievert", "Germany", "5:16:41", "nan" ], [ "7.0", "Henri Quintric", "France", "5:27:25", "nan" ], [ "8.0", "Ernie Crosbie", "United States", "5:28:02", "nan" ], [ "9.0", "Bill Chisholm", "United States", "5:51:00", "nan" ], [ "10.0", "Alfred Maasik", "Estonia", "6:19:00", "nan" ], [ "nan", "Henry Cieman", "Canada", "nan", "DNF" ], [ "nan", "John Moralis", "Greece", "nan", "DNF" ], [ "nan", "Francesco Pretti", "Italy", "nan", "DNF" ], [ "nan", "Arthur Tell Schwab", "Switzerland", "nan", "DNF" ], [ "nan", "Harry Hinkel", "United States", "nan", "DNF" ] ]
[ "Karl Hahnel" ]
of those competitors from germany, which was not paul sievert? || of those competitors in the 1932 summer olympics men's 50 kilometer walk, which ones were from germany? | who competed in the men's 50 kilometer walk at the 1932 summer olympics?
ns-1292
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan row 6 : 6.0 | paul sievert | germany | 5:16:41 | nan row 7 : 7.0 | henri quintric | france | 5:27:25 | nan row 8 : 8.0 | ernie crosbie | united states | 5:28:02 | nan row 9 : 9.0 | bill chisholm | united states | 5:51:00 | nan row 10 : 10.0 | alfred maasik | estonia | 6:19:00 | nan row 11 : nan | henry cieman | canada | nan | dnf row 12 : nan | john moralis | greece | nan | dnf row 13 : nan | francesco pretti | italy | nan | dnf row 14 : nan | arthur tell schwab | switzerland | nan | dnf row 15 : nan | harry hinkel | united states | nan | dnf
table_csv/204_521.csv
0
{ "column_index": [ 1, 1 ], "row_index": [ 3, 5 ] }
[ "what competitors were from germany?" ]
2
karl hahnel, paul sievert
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
what competitors were from germany?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ], [ "5.0", "Ettore Rivolta", "Italy", "5:07:39", "nan" ], [ "6.0", "Paul Sievert", "Germany", "5:16:41", "nan" ], [ "7.0", "Henri Quintric", "France", "5:27:25", "nan" ], [ "8.0", "Ernie Crosbie", "United States", "5:28:02", "nan" ], [ "9.0", "Bill Chisholm", "United States", "5:51:00", "nan" ], [ "10.0", "Alfred Maasik", "Estonia", "6:19:00", "nan" ], [ "nan", "Henry Cieman", "Canada", "nan", "DNF" ], [ "nan", "John Moralis", "Greece", "nan", "DNF" ], [ "nan", "Francesco Pretti", "Italy", "nan", "DNF" ], [ "nan", "Arthur Tell Schwab", "Switzerland", "nan", "DNF" ], [ "nan", "Harry Hinkel", "United States", "nan", "DNF" ] ]
[ "Karl Hahnel", "Paul Sievert" ]
what competitors were from germany? ||
ns-1292
col : rank | name | nationality | time (hand) | notes row 1 : nan | tommy green | great britain | 4:50:10 | or row 2 : nan | janis dalins | latvia | 4:57:20 | nan row 3 : nan | ugo frigerio | italy | 4:59:06 | nan row 4 : 4.0 | karl hahnel | germany | 5:06:06 | nan row 5 : 5.0 | ettore rivolta | italy | 5:07:39 | nan row 6 : 6.0 | paul sievert | germany | 5:16:41 | nan row 7 : 7.0 | henri quintric | france | 5:27:25 | nan row 8 : 8.0 | ernie crosbie | united states | 5:28:02 | nan row 9 : 9.0 | bill chisholm | united states | 5:51:00 | nan row 10 : 10.0 | alfred maasik | estonia | 6:19:00 | nan row 11 : nan | henry cieman | canada | nan | dnf row 12 : nan | john moralis | greece | nan | dnf row 13 : nan | francesco pretti | italy | nan | dnf row 14 : nan | arthur tell schwab | switzerland | nan | dnf row 15 : nan | harry hinkel | united states | nan | dnf
table_csv/204_521.csv
1
{ "column_index": [ 1 ], "row_index": [ 3 ] }
[ "what competitors were from germany?", "who was not paul sievert?" ]
2
karl hahnel
[ "Rank", "Name", "Nationality", "Time (hand)", "Notes" ]
who was not paul sievert?
[ [ "nan", "Tommy Green", "Great Britain", "4:50:10", "OR" ], [ "nan", "Janis Dalins", "Latvia", "4:57:20", "nan" ], [ "nan", "Ugo Frigerio", "Italy", "4:59:06", "nan" ], [ "4.0", "Karl Hahnel", "Germany", "5:06:06", "nan" ], [ "5.0", "Ettore Rivolta", "Italy", "5:07:39", "nan" ], [ "6.0", "Paul Sievert", "Germany", "5:16:41", "nan" ], [ "7.0", "Henri Quintric", "France", "5:27:25", "nan" ], [ "8.0", "Ernie Crosbie", "United States", "5:28:02", "nan" ], [ "9.0", "Bill Chisholm", "United States", "5:51:00", "nan" ], [ "10.0", "Alfred Maasik", "Estonia", "6:19:00", "nan" ], [ "nan", "Henry Cieman", "Canada", "nan", "DNF" ], [ "nan", "John Moralis", "Greece", "nan", "DNF" ], [ "nan", "Francesco Pretti", "Italy", "nan", "DNF" ], [ "nan", "Arthur Tell Schwab", "Switzerland", "nan", "DNF" ], [ "nan", "Harry Hinkel", "United States", "nan", "DNF" ] ]
[ "Karl Hahnel" ]
who was not paul sievert? || what competitors were from germany?
nt-6436
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5,100 | 5,357 | 4,698 | 28.08 | 181.62 row 5 : predeal | 5,625 | 5,174 | 4,755 | 58.4 | 96.14 row 6 : rasnov | 15,436 | 16,055 | 15,022 | 164.36 | 94 row 7 : cristian | 3,952 | 4,300 | 4,490 | 27.73 | 142.51 row 8 : sanpetru | 3,401 | 3,759 | 4,819 | 30.74 | 110.63 row 9 : halchiu | 4,072 | 4,560 | 4,218 | 56.67 | 71.85 row 10 : tarlungeni | 7,413 | 7,996 | 8,320 | 135.66 | 54.65 row 11 : prejmer | 8,323 | 8,876 | 8,472 | 60.48 | 137.61 row 12 : harman | 4,437 | 4,775 | 5,402 | 52.79 | 84.05 row 13 : bod | 3,942 | 4,173 | 3,994 | 33.56 | 117.46 row 14 : total | 399,902 | 399,316 | 369,896 | 1,368.58 | 270
table_csv/203_465.csv
0
{ "column_index": [ 2 ], "row_index": [ 3 ] }
[ "what was the population of ghimbav in 2007?" ]
0
5,357
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
what was the population of ghimbav in 2007?
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "4,698", "28.08", "181.62" ], [ "Predeal", "5,625", "5,174", "4,755", "58.4", "96.14" ], [ "Rasnov", "15,436", "16,055", "15,022", "164.36", "94" ], [ "Cristian", "3,952", "4,300", "4,490", "27.73", "142.51" ], [ "Sanpetru", "3,401", "3,759", "4,819", "30.74", "110.63" ], [ "Halchiu", "4,072", "4,560", "4,218", "56.67", "71.85" ], [ "Tarlungeni", "7,413", "7,996", "8,320", "135.66", "54.65" ], [ "Prejmer", "8,323", "8,876", "8,472", "60.48", "137.61" ], [ "Harman", "4,437", "4,775", "5,402", "52.79", "84.05" ], [ "Bod", "3,942", "4,173", "3,994", "33.56", "117.46" ], [ "Total", "399,902", "399,316", "369,896", "1,368.58", "270" ] ]
[ "5,357" ]
what was the population of ghimbav in 2007? ||
nt-6436
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5,100 | 5,357 | 4,698 | 28.08 | 181.62 row 5 : predeal | 5,625 | 5,174 | 4,755 | 58.4 | 96.14 row 6 : rasnov | 15,436 | 16,055 | 15,022 | 164.36 | 94 row 7 : cristian | 3,952 | 4,300 | 4,490 | 27.73 | 142.51 row 8 : sanpetru | 3,401 | 3,759 | 4,819 | 30.74 | 110.63 row 9 : halchiu | 4,072 | 4,560 | 4,218 | 56.67 | 71.85 row 10 : tarlungeni | 7,413 | 7,996 | 8,320 | 135.66 | 54.65 row 11 : prejmer | 8,323 | 8,876 | 8,472 | 60.48 | 137.61 row 12 : harman | 4,437 | 4,775 | 5,402 | 52.79 | 84.05 row 13 : bod | 3,942 | 4,173 | 3,994 | 33.56 | 117.46 row 14 : total | 399,902 | 399,316 | 369,896 | 1,368.58 | 270
table_csv/203_465.csv
1
{ "column_index": [ 2 ], "row_index": [ 2 ] }
[ "what was the population of ghimbav in 2007?", "what was the population of sacele in 2007?" ]
0
31,796
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
what was the population of sacele in 2007?
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "4,698", "28.08", "181.62" ], [ "Predeal", "5,625", "5,174", "4,755", "58.4", "96.14" ], [ "Rasnov", "15,436", "16,055", "15,022", "164.36", "94" ], [ "Cristian", "3,952", "4,300", "4,490", "27.73", "142.51" ], [ "Sanpetru", "3,401", "3,759", "4,819", "30.74", "110.63" ], [ "Halchiu", "4,072", "4,560", "4,218", "56.67", "71.85" ], [ "Tarlungeni", "7,413", "7,996", "8,320", "135.66", "54.65" ], [ "Prejmer", "8,323", "8,876", "8,472", "60.48", "137.61" ], [ "Harman", "4,437", "4,775", "5,402", "52.79", "84.05" ], [ "Bod", "3,942", "4,173", "3,994", "33.56", "117.46" ], [ "Total", "399,902", "399,316", "369,896", "1,368.58", "270" ] ]
[ "31,796" ]
what was the population of sacele in 2007? || what was the population of ghimbav in 2007?
nt-6436
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5,100 | 5,357 | 4,698 | 28.08 | 181.62 row 5 : predeal | 5,625 | 5,174 | 4,755 | 58.4 | 96.14 row 6 : rasnov | 15,436 | 16,055 | 15,022 | 164.36 | 94 row 7 : cristian | 3,952 | 4,300 | 4,490 | 27.73 | 142.51 row 8 : sanpetru | 3,401 | 3,759 | 4,819 | 30.74 | 110.63 row 9 : halchiu | 4,072 | 4,560 | 4,218 | 56.67 | 71.85 row 10 : tarlungeni | 7,413 | 7,996 | 8,320 | 135.66 | 54.65 row 11 : prejmer | 8,323 | 8,876 | 8,472 | 60.48 | 137.61 row 12 : harman | 4,437 | 4,775 | 5,402 | 52.79 | 84.05 row 13 : bod | 3,942 | 4,173 | 3,994 | 33.56 | 117.46 row 14 : total | 399,902 | 399,316 | 369,896 | 1,368.58 | 270
table_csv/203_465.csv
2
{ "column_index": [ 2 ], "row_index": [ 4 ] }
[ "what was the population of ghimbav in 2007?", "what was the population of sacele in 2007?", "what was the population of predeal in 2007?" ]
0
5,174
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
what was the population of predeal in 2007?
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "4,698", "28.08", "181.62" ], [ "Predeal", "5,625", "5,174", "4,755", "58.4", "96.14" ], [ "Rasnov", "15,436", "16,055", "15,022", "164.36", "94" ], [ "Cristian", "3,952", "4,300", "4,490", "27.73", "142.51" ], [ "Sanpetru", "3,401", "3,759", "4,819", "30.74", "110.63" ], [ "Halchiu", "4,072", "4,560", "4,218", "56.67", "71.85" ], [ "Tarlungeni", "7,413", "7,996", "8,320", "135.66", "54.65" ], [ "Prejmer", "8,323", "8,876", "8,472", "60.48", "137.61" ], [ "Harman", "4,437", "4,775", "5,402", "52.79", "84.05" ], [ "Bod", "3,942", "4,173", "3,994", "33.56", "117.46" ], [ "Total", "399,902", "399,316", "369,896", "1,368.58", "270" ] ]
[ "5,174" ]
what was the population of predeal in 2007? || what was the population of sacele in 2007? | what was the population of ghimbav in 2007?
nt-6436
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5,100 | 5,357 | 4,698 | 28.08 | 181.62 row 5 : predeal | 5,625 | 5,174 | 4,755 | 58.4 | 96.14 row 6 : rasnov | 15,436 | 16,055 | 15,022 | 164.36 | 94 row 7 : cristian | 3,952 | 4,300 | 4,490 | 27.73 | 142.51 row 8 : sanpetru | 3,401 | 3,759 | 4,819 | 30.74 | 110.63 row 9 : halchiu | 4,072 | 4,560 | 4,218 | 56.67 | 71.85 row 10 : tarlungeni | 7,413 | 7,996 | 8,320 | 135.66 | 54.65 row 11 : prejmer | 8,323 | 8,876 | 8,472 | 60.48 | 137.61 row 12 : harman | 4,437 | 4,775 | 5,402 | 52.79 | 84.05 row 13 : bod | 3,942 | 4,173 | 3,994 | 33.56 | 117.46 row 14 : total | 399,902 | 399,316 | 369,896 | 1,368.58 | 270
table_csv/203_465.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "what locations are in brasov metropolitan area?" ]
1
brasov, codlea, sacele, ghimbav, predeal, rasnov, cristian, sanpetru, halchiu, tarlungeni, prejmer, harman, bod
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
what locations are in brasov metropolitan area?
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "4,698", "28.08", "181.62" ], [ "Predeal", "5,625", "5,174", "4,755", "58.4", "96.14" ], [ "Rasnov", "15,436", "16,055", "15,022", "164.36", "94" ], [ "Cristian", "3,952", "4,300", "4,490", "27.73", "142.51" ], [ "Sanpetru", "3,401", "3,759", "4,819", "30.74", "110.63" ], [ "Halchiu", "4,072", "4,560", "4,218", "56.67", "71.85" ], [ "Tarlungeni", "7,413", "7,996", "8,320", "135.66", "54.65" ], [ "Prejmer", "8,323", "8,876", "8,472", "60.48", "137.61" ], [ "Harman", "4,437", "4,775", "5,402", "52.79", "84.05" ], [ "Bod", "3,942", "4,173", "3,994", "33.56", "117.46" ], [ "Total", "399,902", "399,316", "369,896", "1,368.58", "270" ] ]
[ "Brasov", "Codlea", "Sacele", "Ghimbav", "Predeal", "Rasnov", "Cristian", "Sanpetru", "Halchiu", "Tarlungeni", "Prejmer", "Harman", "Bod" ]
what locations are in brasov metropolitan area? ||
nt-6436
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5,100 | 5,357 | 4,698 | 28.08 | 181.62 row 5 : predeal | 5,625 | 5,174 | 4,755 | 58.4 | 96.14 row 6 : rasnov | 15,436 | 16,055 | 15,022 | 164.36 | 94 row 7 : cristian | 3,952 | 4,300 | 4,490 | 27.73 | 142.51 row 8 : sanpetru | 3,401 | 3,759 | 4,819 | 30.74 | 110.63 row 9 : halchiu | 4,072 | 4,560 | 4,218 | 56.67 | 71.85 row 10 : tarlungeni | 7,413 | 7,996 | 8,320 | 135.66 | 54.65 row 11 : prejmer | 8,323 | 8,876 | 8,472 | 60.48 | 137.61 row 12 : harman | 4,437 | 4,775 | 5,402 | 52.79 | 84.05 row 13 : bod | 3,942 | 4,173 | 3,994 | 33.56 | 117.46 row 14 : total | 399,902 | 399,316 | 369,896 | 1,368.58 | 270
table_csv/203_465.csv
1
{ "column_index": [ 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 ] }
[ "what locations are in brasov metropolitan area?", "what was the population of each location during 2007?" ]
1
277,945, 24,550, 31,796, 5,357, 5,174, 16,055, 4,300, 3,759, 4,560, 7,996, 8,876, 4,775, 4,173
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
what was the population of each location during 2007?
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "4,698", "28.08", "181.62" ], [ "Predeal", "5,625", "5,174", "4,755", "58.4", "96.14" ], [ "Rasnov", "15,436", "16,055", "15,022", "164.36", "94" ], [ "Cristian", "3,952", "4,300", "4,490", "27.73", "142.51" ], [ "Sanpetru", "3,401", "3,759", "4,819", "30.74", "110.63" ], [ "Halchiu", "4,072", "4,560", "4,218", "56.67", "71.85" ], [ "Tarlungeni", "7,413", "7,996", "8,320", "135.66", "54.65" ], [ "Prejmer", "8,323", "8,876", "8,472", "60.48", "137.61" ], [ "Harman", "4,437", "4,775", "5,402", "52.79", "84.05" ], [ "Bod", "3,942", "4,173", "3,994", "33.56", "117.46" ], [ "Total", "399,902", "399,316", "369,896", "1,368.58", "270" ] ]
[ "277,945", "24,550", "31,796", "5,357", "5,174", "16,055", "4,300", "3,759", "4,560", "7,996", "8,876", "4,775", "4,173" ]
what was the population of each location during 2007? || what locations are in brasov metropolitan area?
nt-6436
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5,100 | 5,357 | 4,698 | 28.08 | 181.62 row 5 : predeal | 5,625 | 5,174 | 4,755 | 58.4 | 96.14 row 6 : rasnov | 15,436 | 16,055 | 15,022 | 164.36 | 94 row 7 : cristian | 3,952 | 4,300 | 4,490 | 27.73 | 142.51 row 8 : sanpetru | 3,401 | 3,759 | 4,819 | 30.74 | 110.63 row 9 : halchiu | 4,072 | 4,560 | 4,218 | 56.67 | 71.85 row 10 : tarlungeni | 7,413 | 7,996 | 8,320 | 135.66 | 54.65 row 11 : prejmer | 8,323 | 8,876 | 8,472 | 60.48 | 137.61 row 12 : harman | 4,437 | 4,775 | 5,402 | 52.79 | 84.05 row 13 : bod | 3,942 | 4,173 | 3,994 | 33.56 | 117.46 row 14 : total | 399,902 | 399,316 | 369,896 | 1,368.58 | 270
table_csv/203_465.csv
2
{ "column_index": [ 2 ], "row_index": [ 4 ] }
[ "what locations are in brasov metropolitan area?", "what was the population of each location during 2007?", "of those, which population is associated with predeal?" ]
1
5,174
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
of those, which population is associated with predeal?
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "4,698", "28.08", "181.62" ], [ "Predeal", "5,625", "5,174", "4,755", "58.4", "96.14" ], [ "Rasnov", "15,436", "16,055", "15,022", "164.36", "94" ], [ "Cristian", "3,952", "4,300", "4,490", "27.73", "142.51" ], [ "Sanpetru", "3,401", "3,759", "4,819", "30.74", "110.63" ], [ "Halchiu", "4,072", "4,560", "4,218", "56.67", "71.85" ], [ "Tarlungeni", "7,413", "7,996", "8,320", "135.66", "54.65" ], [ "Prejmer", "8,323", "8,876", "8,472", "60.48", "137.61" ], [ "Harman", "4,437", "4,775", "5,402", "52.79", "84.05" ], [ "Bod", "3,942", "4,173", "3,994", "33.56", "117.46" ], [ "Total", "399,902", "399,316", "369,896", "1,368.58", "270" ] ]
[ "5,174" ]
of those, which population is associated with predeal? || what was the population of each location during 2007? | what locations are in brasov metropolitan area?
nt-6436
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5,100 | 5,357 | 4,698 | 28.08 | 181.62 row 5 : predeal | 5,625 | 5,174 | 4,755 | 58.4 | 96.14 row 6 : rasnov | 15,436 | 16,055 | 15,022 | 164.36 | 94 row 7 : cristian | 3,952 | 4,300 | 4,490 | 27.73 | 142.51 row 8 : sanpetru | 3,401 | 3,759 | 4,819 | 30.74 | 110.63 row 9 : halchiu | 4,072 | 4,560 | 4,218 | 56.67 | 71.85 row 10 : tarlungeni | 7,413 | 7,996 | 8,320 | 135.66 | 54.65 row 11 : prejmer | 8,323 | 8,876 | 8,472 | 60.48 | 137.61 row 12 : harman | 4,437 | 4,775 | 5,402 | 52.79 | 84.05 row 13 : bod | 3,942 | 4,173 | 3,994 | 33.56 | 117.46 row 14 : total | 399,902 | 399,316 | 369,896 | 1,368.58 | 270
table_csv/203_465.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "what are the names of all the localities in the brasov metropolitan area?" ]
2
brasov, codlea, sacele, ghimbav, predeal, rasnov, cristian, sanpetru, halchiu, tarlungeni, prejmer, harman, bod
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
what are the names of all the localities in the brasov metropolitan area?
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "4,698", "28.08", "181.62" ], [ "Predeal", "5,625", "5,174", "4,755", "58.4", "96.14" ], [ "Rasnov", "15,436", "16,055", "15,022", "164.36", "94" ], [ "Cristian", "3,952", "4,300", "4,490", "27.73", "142.51" ], [ "Sanpetru", "3,401", "3,759", "4,819", "30.74", "110.63" ], [ "Halchiu", "4,072", "4,560", "4,218", "56.67", "71.85" ], [ "Tarlungeni", "7,413", "7,996", "8,320", "135.66", "54.65" ], [ "Prejmer", "8,323", "8,876", "8,472", "60.48", "137.61" ], [ "Harman", "4,437", "4,775", "5,402", "52.79", "84.05" ], [ "Bod", "3,942", "4,173", "3,994", "33.56", "117.46" ], [ "Total", "399,902", "399,316", "369,896", "1,368.58", "270" ] ]
[ "Brasov", "Codlea", "Sacele", "Ghimbav", "Predeal", "Rasnov", "Cristian", "Sanpetru", "Halchiu", "Tarlungeni", "Prejmer", "Harman", "Bod" ]
what are the names of all the localities in the brasov metropolitan area? ||
nt-6436
col : name | population (2002 census) | population (2007 estimation) | population (2011 census) | area (km2) | density (pop/km2) row 1 : brasov | 283,901 | 277,945 | 253,200 | 267.32 | 1,204 row 2 : codlea | 24,256 | 24,550 | 21,708 | 132.79 | 182 row 3 : sacele | 30,044 | 31,796 | 30,798 | 320 | 93 row 4 : ghimbav | 5,100 | 5,357 | 4,698 | 28.08 | 181.62 row 5 : predeal | 5,625 | 5,174 | 4,755 | 58.4 | 96.14 row 6 : rasnov | 15,436 | 16,055 | 15,022 | 164.36 | 94 row 7 : cristian | 3,952 | 4,300 | 4,490 | 27.73 | 142.51 row 8 : sanpetru | 3,401 | 3,759 | 4,819 | 30.74 | 110.63 row 9 : halchiu | 4,072 | 4,560 | 4,218 | 56.67 | 71.85 row 10 : tarlungeni | 7,413 | 7,996 | 8,320 | 135.66 | 54.65 row 11 : prejmer | 8,323 | 8,876 | 8,472 | 60.48 | 137.61 row 12 : harman | 4,437 | 4,775 | 5,402 | 52.79 | 84.05 row 13 : bod | 3,942 | 4,173 | 3,994 | 33.56 | 117.46 row 14 : total | 399,902 | 399,316 | 369,896 | 1,368.58 | 270
table_csv/203_465.csv
1
{ "column_index": [ 2 ], "row_index": [ 4 ] }
[ "what are the names of all the localities in the brasov metropolitan area?", "what is the amount of residents for predeal for 2007's recording?" ]
2
5,174
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
what is the amount of residents for predeal for 2007's recording?
[ [ "Brasov", "283,901", "277,945", "253,200", "267.32", "1,204" ], [ "Codlea", "24,256", "24,550", "21,708", "132.79", "182" ], [ "Sacele", "30,044", "31,796", "30,798", "320", "93" ], [ "Ghimbav", "5,100", "5,357", "4,698", "28.08", "181.62" ], [ "Predeal", "5,625", "5,174", "4,755", "58.4", "96.14" ], [ "Rasnov", "15,436", "16,055", "15,022", "164.36", "94" ], [ "Cristian", "3,952", "4,300", "4,490", "27.73", "142.51" ], [ "Sanpetru", "3,401", "3,759", "4,819", "30.74", "110.63" ], [ "Halchiu", "4,072", "4,560", "4,218", "56.67", "71.85" ], [ "Tarlungeni", "7,413", "7,996", "8,320", "135.66", "54.65" ], [ "Prejmer", "8,323", "8,876", "8,472", "60.48", "137.61" ], [ "Harman", "4,437", "4,775", "5,402", "52.79", "84.05" ], [ "Bod", "3,942", "4,173", "3,994", "33.56", "117.46" ], [ "Total", "399,902", "399,316", "369,896", "1,368.58", "270" ] ]
[ "5,174" ]
what is the amount of residents for predeal for 2007's recording? || what are the names of all the localities in the brasov metropolitan area?
nt-2798
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
table_csv/204_442.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 the schools?" ]
0
clemson university, maryland, navy, north carolina, north carolina state, university of virginia, virginia tech, wake forest
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
what are all the schools?
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", "Midshipmen", "30", "1963", "Mike Flanagan" ], [ "North Carolina", "Chapel Hill, North Carolina", "29,340", "Tar Heels", "28", "1966", "Pete Earsman" ], [ "North Carolina State", "Raleigh, North Carolina", "34,767", "Wolfpack", "25", "1965", "Jim Latham" ], [ "University of Virginia", "Charlottesville, Virginia", "20,895", "Cavaliers", "25", "1961", "Jon Roberts" ], [ "Virginia Tech", "Blacksburg, Virginia", "30,379", "Hokies", "21", "1891 / 1968", "Andy Richards" ], [ "Wake Forest", "Winston-Salem, North Carolina", "7,079", "Demon Deacons", "18", "1973", "Patrick Kane" ] ]
[ "Clemson University", "Maryland", "Navy", "North Carolina", "North Carolina State", "University of Virginia", "Virginia Tech", "Wake Forest" ]
what are all the schools? ||
nt-2798
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
table_csv/204_442.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are all the schools?", "what is their enrollment amount?" ]
0
20,576, 37,641, 4,576, 29,340, 34,767, 20,895, 30,379, 7,079
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
what is their enrollment amount?
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", "Midshipmen", "30", "1963", "Mike Flanagan" ], [ "North Carolina", "Chapel Hill, North Carolina", "29,340", "Tar Heels", "28", "1966", "Pete Earsman" ], [ "North Carolina State", "Raleigh, North Carolina", "34,767", "Wolfpack", "25", "1965", "Jim Latham" ], [ "University of Virginia", "Charlottesville, Virginia", "20,895", "Cavaliers", "25", "1961", "Jon Roberts" ], [ "Virginia Tech", "Blacksburg, Virginia", "30,379", "Hokies", "21", "1891 / 1968", "Andy Richards" ], [ "Wake Forest", "Winston-Salem, North Carolina", "7,079", "Demon Deacons", "18", "1973", "Patrick Kane" ] ]
[ "20,576", "37,641", "4,576", "29,340", "34,767", "20,895", "30,379", "7,079" ]
what is their enrollment amount? || what are all the schools?
nt-2798
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
table_csv/204_442.csv
2
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what are all the schools?", "what is their enrollment amount?", "between clemson and virginia tech, which has a higher enrollment?" ]
0
virginia tech
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
between clemson and virginia tech, which has a higher enrollment?
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", "Midshipmen", "30", "1963", "Mike Flanagan" ], [ "North Carolina", "Chapel Hill, North Carolina", "29,340", "Tar Heels", "28", "1966", "Pete Earsman" ], [ "North Carolina State", "Raleigh, North Carolina", "34,767", "Wolfpack", "25", "1965", "Jim Latham" ], [ "University of Virginia", "Charlottesville, Virginia", "20,895", "Cavaliers", "25", "1961", "Jon Roberts" ], [ "Virginia Tech", "Blacksburg, Virginia", "30,379", "Hokies", "21", "1891 / 1968", "Andy Richards" ], [ "Wake Forest", "Winston-Salem, North Carolina", "7,079", "Demon Deacons", "18", "1973", "Patrick Kane" ] ]
[ "Virginia Tech" ]
between clemson and virginia tech, which has a higher enrollment? || what is their enrollment amount? | what are all the schools?
nt-2798
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
table_csv/204_442.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 3, 4, 5, 6 ] }
[ "which of the schools have an enrollment greater than 20000 students?" ]
1
clemson university, maryland, north carolina, north carolina state, university of virginia, virginia tech
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
which of the schools have an enrollment greater than 20000 students?
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", "Midshipmen", "30", "1963", "Mike Flanagan" ], [ "North Carolina", "Chapel Hill, North Carolina", "29,340", "Tar Heels", "28", "1966", "Pete Earsman" ], [ "North Carolina State", "Raleigh, North Carolina", "34,767", "Wolfpack", "25", "1965", "Jim Latham" ], [ "University of Virginia", "Charlottesville, Virginia", "20,895", "Cavaliers", "25", "1961", "Jon Roberts" ], [ "Virginia Tech", "Blacksburg, Virginia", "30,379", "Hokies", "21", "1891 / 1968", "Andy Richards" ], [ "Wake Forest", "Winston-Salem, North Carolina", "7,079", "Demon Deacons", "18", "1973", "Patrick Kane" ] ]
[ "Clemson University", "Maryland", "North Carolina", "North Carolina State", "University of Virginia", "Virginia Tech" ]
which of the schools have an enrollment greater than 20000 students? ||
nt-2798
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
table_csv/204_442.csv
1
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "which of the schools have an enrollment greater than 20000 students?", "of these schools, which has been playing rugby the longest?" ]
1
virginia tech
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
of these schools, which has been playing rugby the longest?
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", "Midshipmen", "30", "1963", "Mike Flanagan" ], [ "North Carolina", "Chapel Hill, North Carolina", "29,340", "Tar Heels", "28", "1966", "Pete Earsman" ], [ "North Carolina State", "Raleigh, North Carolina", "34,767", "Wolfpack", "25", "1965", "Jim Latham" ], [ "University of Virginia", "Charlottesville, Virginia", "20,895", "Cavaliers", "25", "1961", "Jon Roberts" ], [ "Virginia Tech", "Blacksburg, Virginia", "30,379", "Hokies", "21", "1891 / 1968", "Andy Richards" ], [ "Wake Forest", "Winston-Salem, North Carolina", "7,079", "Demon Deacons", "18", "1973", "Patrick Kane" ] ]
[ "Virginia Tech" ]
of these schools, which has been playing rugby the longest? || which of the schools have an enrollment greater than 20000 students?
nt-2798
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
table_csv/204_442.csv
0
{ "column_index": [ 0, 0, 0 ], "row_index": [ 0, 5, 6 ] }
[ "which of the schools below are not from maryland or north carolina?" ]
2
clemson university, university of virginia, virginia tech
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
which of the schools below are not from maryland or north carolina?
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", "Midshipmen", "30", "1963", "Mike Flanagan" ], [ "North Carolina", "Chapel Hill, North Carolina", "29,340", "Tar Heels", "28", "1966", "Pete Earsman" ], [ "North Carolina State", "Raleigh, North Carolina", "34,767", "Wolfpack", "25", "1965", "Jim Latham" ], [ "University of Virginia", "Charlottesville, Virginia", "20,895", "Cavaliers", "25", "1961", "Jon Roberts" ], [ "Virginia Tech", "Blacksburg, Virginia", "30,379", "Hokies", "21", "1891 / 1968", "Andy Richards" ], [ "Wake Forest", "Winston-Salem, North Carolina", "7,079", "Demon Deacons", "18", "1973", "Patrick Kane" ] ]
[ "Clemson University", "University of Virginia", "Virginia Tech" ]
which of the schools below are not from maryland or north carolina? ||
nt-2798
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
table_csv/204_442.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 0, 6 ] }
[ "which of the schools below are not from maryland or north carolina?", "of those, which have an enrollment greater than 20,000?" ]
2
clemson university, virginia tech
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
of those, which have an enrollment greater than 20,000?
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", "Midshipmen", "30", "1963", "Mike Flanagan" ], [ "North Carolina", "Chapel Hill, North Carolina", "29,340", "Tar Heels", "28", "1966", "Pete Earsman" ], [ "North Carolina State", "Raleigh, North Carolina", "34,767", "Wolfpack", "25", "1965", "Jim Latham" ], [ "University of Virginia", "Charlottesville, Virginia", "20,895", "Cavaliers", "25", "1961", "Jon Roberts" ], [ "Virginia Tech", "Blacksburg, Virginia", "30,379", "Hokies", "21", "1891 / 1968", "Andy Richards" ], [ "Wake Forest", "Winston-Salem, North Carolina", "7,079", "Demon Deacons", "18", "1973", "Patrick Kane" ] ]
[ "Clemson University", "Virginia Tech" ]
of those, which have an enrollment greater than 20,000? || which of the schools below are not from maryland or north carolina?
nt-2798
col : institution | location | enrollment | nickname | varsity sports | rugby since | head coach row 1 : clemson university | clemson, south carolina | 20,576 | tigers | 19 | 1967 | justin hickey row 2 : maryland | college park, maryland | 37,641 | terrapins | 20 | 1968 | jeff soeken row 3 : navy | annapolis, maryland | 4,576 | midshipmen | 30 | 1963 | mike flanagan row 4 : north carolina | chapel hill, north carolina | 29,340 | tar heels | 28 | 1966 | pete earsman row 5 : north carolina state | raleigh, north carolina | 34,767 | wolfpack | 25 | 1965 | jim latham row 6 : university of virginia | charlottesville, virginia | 20,895 | cavaliers | 25 | 1961 | jon roberts row 7 : virginia tech | blacksburg, virginia | 30,379 | hokies | 21 | 1891 / 1968 | andy richards row 8 : wake forest | winston-salem, north carolina | 7,079 | demon deacons | 18 | 1973 | patrick kane
table_csv/204_442.csv
2
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "which of the schools below are not from maryland or north carolina?", "of those, which have an enrollment greater than 20,000?", "of these, which has more students enrolled?" ]
2
virginia tech
[ "Institution", "Location", "Enrollment", "Nickname", "Varsity Sports", "Rugby Since", "Head Coach" ]
of these, which has more students enrolled?
[ [ "Clemson University", "Clemson, South Carolina", "20,576", "Tigers", "19", "1967", "Justin Hickey" ], [ "Maryland", "College Park, Maryland", "37,641", "Terrapins", "20", "1968", "Jeff Soeken" ], [ "Navy", "Annapolis, Maryland", "4,576", "Midshipmen", "30", "1963", "Mike Flanagan" ], [ "North Carolina", "Chapel Hill, North Carolina", "29,340", "Tar Heels", "28", "1966", "Pete Earsman" ], [ "North Carolina State", "Raleigh, North Carolina", "34,767", "Wolfpack", "25", "1965", "Jim Latham" ], [ "University of Virginia", "Charlottesville, Virginia", "20,895", "Cavaliers", "25", "1961", "Jon Roberts" ], [ "Virginia Tech", "Blacksburg, Virginia", "30,379", "Hokies", "21", "1891 / 1968", "Andy Richards" ], [ "Wake Forest", "Winston-Salem, North Carolina", "7,079", "Demon Deacons", "18", "1973", "Patrick Kane" ] ]
[ "Virginia Tech" ]
of these, which has more students enrolled? || of those, which have an enrollment greater than 20,000? | which of the schools below are not from maryland or north carolina?
ns-1107
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information. row 4 : 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events. row 5 : 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances. row 6 : 2pm-3pm | tuesday | nan | kimberly guilfoyle | crime and legal news. row 7 : 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information. row 8 : 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information. row 9 : 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics.
table_csv/204_839.csv
0
{ "column_index": [ 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 7 ] }
[ "which shows on fox are available on thursday?" ]
0
the morning click, , fbn live, on the hunt, fox car report
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
which shows on fox are available on thursday?
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", "FBN Live", "Lauren Simonetti", "Business news and information." ], [ "12pm-1pm", "Monday-Friday", "On the Hunt", "Jonathan Hunt", "Current events." ], [ "2pm-3pm", "Monday", "Entertainment Hour", "Ashley Dvorkin", "Entertainment news, musical performances." ], [ "2pm-3pm", "Tuesday", "nan", "Kimberly Guilfoyle", "Crime and legal news." ], [ "2pm-3pm", "Wednesday", "Defcon 3", "Kathleen Troia McFarland", "Military news and information." ], [ "2pm-3pm", "Thursday", "Fox Car Report", "Gary Gastelu", "Automotive news and information." ], [ "2pm-3pm", "Friday", "Spirited Debate", "Lauren Green", "Discussion on religious topics." ] ]
[ "The Morning Click", "", "FBN Live", "On the Hunt", "Fox Car Report" ]
which shows on fox are available on thursday? ||
ns-1107
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information. row 4 : 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events. row 5 : 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances. row 6 : 2pm-3pm | tuesday | nan | kimberly guilfoyle | crime and legal news. row 7 : 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information. row 8 : 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information. row 9 : 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics.
table_csv/204_839.csv
1
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "which shows on fox are available on thursday?", "of these shows, which program only airs on thursday?" ]
0
fox car report
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
of these shows, which program only airs on thursday?
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", "FBN Live", "Lauren Simonetti", "Business news and information." ], [ "12pm-1pm", "Monday-Friday", "On the Hunt", "Jonathan Hunt", "Current events." ], [ "2pm-3pm", "Monday", "Entertainment Hour", "Ashley Dvorkin", "Entertainment news, musical performances." ], [ "2pm-3pm", "Tuesday", "nan", "Kimberly Guilfoyle", "Crime and legal news." ], [ "2pm-3pm", "Wednesday", "Defcon 3", "Kathleen Troia McFarland", "Military news and information." ], [ "2pm-3pm", "Thursday", "Fox Car Report", "Gary Gastelu", "Automotive news and information." ], [ "2pm-3pm", "Friday", "Spirited Debate", "Lauren Green", "Discussion on religious topics." ] ]
[ "Fox Car Report" ]
of these shows, which program only airs on thursday? || which shows on fox are available on thursday?
ns-1107
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information. row 4 : 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events. row 5 : 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances. row 6 : 2pm-3pm | tuesday | nan | kimberly guilfoyle | crime and legal news. row 7 : 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information. row 8 : 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information. row 9 : 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics.
table_csv/204_839.csv
0
{ "column_index": [ 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2 ], "row_index": [ 0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8 ] }
[ "what are the shows?" ]
1
monday-friday, the morning click, monday-friday, , monday-friday, fbn live, monday-friday, on the hunt, monday, entertainment hour, tuesday, , wednesday, defcon 3, thursday, fox car report, friday, spirited debate
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
what are the shows?
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", "FBN Live", "Lauren Simonetti", "Business news and information." ], [ "12pm-1pm", "Monday-Friday", "On the Hunt", "Jonathan Hunt", "Current events." ], [ "2pm-3pm", "Monday", "Entertainment Hour", "Ashley Dvorkin", "Entertainment news, musical performances." ], [ "2pm-3pm", "Tuesday", "nan", "Kimberly Guilfoyle", "Crime and legal news." ], [ "2pm-3pm", "Wednesday", "Defcon 3", "Kathleen Troia McFarland", "Military news and information." ], [ "2pm-3pm", "Thursday", "Fox Car Report", "Gary Gastelu", "Automotive news and information." ], [ "2pm-3pm", "Friday", "Spirited Debate", "Lauren Green", "Discussion on religious topics." ] ]
[ "Monday-Friday", "The Morning Click", "Monday-Friday", "", "Monday-Friday", "FBN Live", "Monday-Friday", "On the Hunt", "Monday", "Entertainment Hour", "Tuesday", "", "Wednesday", "Defcon 3", "Thursday", "Fox Car Report", "Friday", "Spirited Debate" ]
what are the shows? ||
ns-1107
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information. row 4 : 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events. row 5 : 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances. row 6 : 2pm-3pm | tuesday | nan | kimberly guilfoyle | crime and legal news. row 7 : 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information. row 8 : 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information. row 9 : 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics.
table_csv/204_839.csv
1
{ "column_index": [ 1, 2 ], "row_index": [ 7, 7 ] }
[ "what are the shows?", "what shows are only on thursday?" ]
1
thursday, fox car report
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
what shows are only on thursday?
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", "FBN Live", "Lauren Simonetti", "Business news and information." ], [ "12pm-1pm", "Monday-Friday", "On the Hunt", "Jonathan Hunt", "Current events." ], [ "2pm-3pm", "Monday", "Entertainment Hour", "Ashley Dvorkin", "Entertainment news, musical performances." ], [ "2pm-3pm", "Tuesday", "nan", "Kimberly Guilfoyle", "Crime and legal news." ], [ "2pm-3pm", "Wednesday", "Defcon 3", "Kathleen Troia McFarland", "Military news and information." ], [ "2pm-3pm", "Thursday", "Fox Car Report", "Gary Gastelu", "Automotive news and information." ], [ "2pm-3pm", "Friday", "Spirited Debate", "Lauren Green", "Discussion on religious topics." ] ]
[ "Thursday", "Fox Car Report" ]
what shows are only on thursday? || what are the shows?
ns-1107
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information. row 4 : 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events. row 5 : 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances. row 6 : 2pm-3pm | tuesday | nan | kimberly guilfoyle | crime and legal news. row 7 : 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information. row 8 : 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information. row 9 : 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics.
table_csv/204_839.csv
2
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "what are the shows?", "what shows are only on thursday?", "what show is it?" ]
1
fox car report
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
what show is it?
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", "FBN Live", "Lauren Simonetti", "Business news and information." ], [ "12pm-1pm", "Monday-Friday", "On the Hunt", "Jonathan Hunt", "Current events." ], [ "2pm-3pm", "Monday", "Entertainment Hour", "Ashley Dvorkin", "Entertainment news, musical performances." ], [ "2pm-3pm", "Tuesday", "nan", "Kimberly Guilfoyle", "Crime and legal news." ], [ "2pm-3pm", "Wednesday", "Defcon 3", "Kathleen Troia McFarland", "Military news and information." ], [ "2pm-3pm", "Thursday", "Fox Car Report", "Gary Gastelu", "Automotive news and information." ], [ "2pm-3pm", "Friday", "Spirited Debate", "Lauren Green", "Discussion on religious topics." ] ]
[ "Fox Car Report" ]
what show is it? || what shows are only on thursday? | what are the shows?
ns-1107
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information. row 4 : 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events. row 5 : 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances. row 6 : 2pm-3pm | tuesday | nan | kimberly guilfoyle | crime and legal news. row 7 : 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information. row 8 : 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information. row 9 : 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics.
table_csv/204_839.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 2, 3, 4, 6, 7, 8 ] }
[ "what are all of the program names?" ]
2
the morning click, fbn live, on the hunt, entertainment hour, defcon 3, fox car report, spirited debate
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
what are all of the program names?
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", "FBN Live", "Lauren Simonetti", "Business news and information." ], [ "12pm-1pm", "Monday-Friday", "On the Hunt", "Jonathan Hunt", "Current events." ], [ "2pm-3pm", "Monday", "Entertainment Hour", "Ashley Dvorkin", "Entertainment news, musical performances." ], [ "2pm-3pm", "Tuesday", "nan", "Kimberly Guilfoyle", "Crime and legal news." ], [ "2pm-3pm", "Wednesday", "Defcon 3", "Kathleen Troia McFarland", "Military news and information." ], [ "2pm-3pm", "Thursday", "Fox Car Report", "Gary Gastelu", "Automotive news and information." ], [ "2pm-3pm", "Friday", "Spirited Debate", "Lauren Green", "Discussion on religious topics." ] ]
[ "The Morning Click", "FBN Live", "On the Hunt", "Entertainment Hour", "Defcon 3", "Fox Car Report", "Spirited Debate" ]
what are all of the program names? ||
ns-1107
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information. row 4 : 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events. row 5 : 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances. row 6 : 2pm-3pm | tuesday | nan | kimberly guilfoyle | crime and legal news. row 7 : 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information. row 8 : 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information. row 9 : 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics.
table_csv/204_839.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 2, 3, 4, 6, 7, 8 ] }
[ "what are all of the program names?", "on which days do they air?" ]
2
monday-friday, monday-friday, monday-friday, monday, wednesday, thursday, friday
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
on which days do they air?
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", "FBN Live", "Lauren Simonetti", "Business news and information." ], [ "12pm-1pm", "Monday-Friday", "On the Hunt", "Jonathan Hunt", "Current events." ], [ "2pm-3pm", "Monday", "Entertainment Hour", "Ashley Dvorkin", "Entertainment news, musical performances." ], [ "2pm-3pm", "Tuesday", "nan", "Kimberly Guilfoyle", "Crime and legal news." ], [ "2pm-3pm", "Wednesday", "Defcon 3", "Kathleen Troia McFarland", "Military news and information." ], [ "2pm-3pm", "Thursday", "Fox Car Report", "Gary Gastelu", "Automotive news and information." ], [ "2pm-3pm", "Friday", "Spirited Debate", "Lauren Green", "Discussion on religious topics." ] ]
[ "Monday-Friday", "Monday-Friday", "Monday-Friday", "Monday", "Wednesday", "Thursday", "Friday" ]
on which days do they air? || what are all of the program names?
ns-1107
col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w | current events. row 2 : 10am-10:30am | monday-friday | nan | lauren green (m), uma pemmaraju (t), greg | current events. row 3 : 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information. row 4 : 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events. row 5 : 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances. row 6 : 2pm-3pm | tuesday | nan | kimberly guilfoyle | crime and legal news. row 7 : 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information. row 8 : 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information. row 9 : 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics.
table_csv/204_839.csv
2
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "what are all of the program names?", "on which days do they air?", "and of those programs, which only airs on thursday?" ]
2
fox car report
[ "ET", "Days available", "Program", "Host(s)", "Description" ]
and of those programs, which only airs on thursday?
[ [ "9am-10am", "Monday-Friday", "The Morning Click", "Jamie Colby (M,T), Harris Faulkner (W", "Current events." ], [ "10am-10:30am", "Monday-Friday", "nan", "Lauren Green (M), Uma Pemmaraju (T), Greg", "Current events." ], [ "11am-11:30am", "Monday-Friday", "FBN Live", "Lauren Simonetti", "Business news and information." ], [ "12pm-1pm", "Monday-Friday", "On the Hunt", "Jonathan Hunt", "Current events." ], [ "2pm-3pm", "Monday", "Entertainment Hour", "Ashley Dvorkin", "Entertainment news, musical performances." ], [ "2pm-3pm", "Tuesday", "nan", "Kimberly Guilfoyle", "Crime and legal news." ], [ "2pm-3pm", "Wednesday", "Defcon 3", "Kathleen Troia McFarland", "Military news and information." ], [ "2pm-3pm", "Thursday", "Fox Car Report", "Gary Gastelu", "Automotive news and information." ], [ "2pm-3pm", "Friday", "Spirited Debate", "Lauren Green", "Discussion on religious topics." ] ]
[ "Fox Car Report" ]
and of those programs, which only airs on thursday? || on which days do they air? | what are all of the program names?
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
0
{ "column_index": [ 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 ] }
[ "what were all of the placements at miss world by the miss northern ireland winners?" ]
0
top 30, non-finalist, top 25, non-finalist, non-finalist, non-finalist, top 17, top 15, non-finalist, non-finalist, non-finalist, non-finalist, non-finalist
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
what were all of the placements at miss world by the miss northern ireland winners?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Top 30", "Non-Finalist", "Top 25", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Top 17", "Top 15", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Non-Finalist" ]
what were all of the placements at miss world by the miss northern ireland winners? ||
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
1
{ "column_index": [ 3 ], "row_index": [ 7 ] }
[ "what were all of the placements at miss world by the miss northern ireland winners?", "what was the highest placement at miss world?" ]
0
top 15
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
what was the highest placement at miss world?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Top 15" ]
what was the highest placement at miss world? || what were all of the placements at miss world by the miss northern ireland winners?
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
2
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "what were all of the placements at miss world by the miss northern ireland winners?", "what was the highest placement at miss world?", "who placed in this spot?" ]
0
lucy evangelista
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
who placed in this spot?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Lucy Evangelista" ]
who placed in this spot? || what was the highest placement at miss world? | what were all of the placements at miss world by the miss northern ireland winners?
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "who were all of the winners?" ]
1
tiffany brien, finola guinnane, lori moore, cherie gardiner, judith wilson, melissa patton, catherine jean milligan, lucy evangelista, kirsty anne gabriel stewart, diana sayers, gayle williamson, angela mccarthy, julie lee-ann martin
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
who were all of the winners?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Tiffany Brien", "Finola Guinnane", "Lori Moore", "Cherie Gardiner", "Judith Wilson", "Melissa Patton", "Catherine Jean Milligan", "Lucy Evangelista", "Kirsty Anne Gabriel Stewart", "Diana Sayers", "Gayle Williamson", "Angela McCarthy", "Julie Lee-Ann Martin" ]
who were all of the winners? ||
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
1
{ "column_index": [ 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 ] }
[ "who were all of the winners?", "where were they placed?" ]
1
top 30, non-finalist, top 25, non-finalist, non-finalist, non-finalist, top 17, top 15, non-finalist, non-finalist, non-finalist, non-finalist, non-finalist
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
where were they placed?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Top 30", "Non-Finalist", "Top 25", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Top 17", "Top 15", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Non-Finalist" ]
where were they placed? || who were all of the winners?
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
2
{ "column_index": [ 3, 3 ], "row_index": [ 0, 7 ] }
[ "who were all of the winners?", "where were they placed?", "what about just lucy evangelista and tiffany brien?" ]
1
top 30, top 15
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
what about just lucy evangelista and tiffany brien?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Top 30", "Top 15" ]
what about just lucy evangelista and tiffany brien? || where were they placed? | who were all of the winners?
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
3
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "who were all of the winners?", "where were they placed?", "what about just lucy evangelista and tiffany brien?", "which placed higher?" ]
1
lucy evangelista
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
which placed higher?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Lucy Evangelista" ]
which placed higher? || what about just lucy evangelista and tiffany brien? | where were they placed? | who were all of the winners?
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "which column contains the names of miss northern ireland?" ]
2
tiffany brien, finola guinnane, lori moore, cherie gardiner, judith wilson, melissa patton, catherine jean milligan, lucy evangelista, kirsty anne gabriel stewart, diana sayers, gayle williamson, angela mccarthy, julie lee-ann martin
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
which column contains the names of miss northern ireland?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Tiffany Brien", "Finola Guinnane", "Lori Moore", "Cherie Gardiner", "Judith Wilson", "Melissa Patton", "Catherine Jean Milligan", "Lucy Evangelista", "Kirsty Anne Gabriel Stewart", "Diana Sayers", "Gayle Williamson", "Angela McCarthy", "Julie Lee-Ann Martin" ]
which column contains the names of miss northern ireland? ||
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
1
{ "column_index": [ 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 ] }
[ "which column contains the names of miss northern ireland?", "which column contains the placement at miss world?" ]
2
top 30, non-finalist, top 25, non-finalist, non-finalist, non-finalist, top 17, top 15, non-finalist, non-finalist, non-finalist, non-finalist, non-finalist
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
which column contains the placement at miss world?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Top 30", "Non-Finalist", "Top 25", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Top 17", "Top 15", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Non-Finalist", "Non-Finalist" ]
which column contains the placement at miss world? || which column contains the names of miss northern ireland?
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
2
{ "column_index": [ 3 ], "row_index": [ 0 ] }
[ "which column contains the names of miss northern ireland?", "which column contains the placement at miss world?", "what was tiffany brien's placement at miss world?" ]
2
top 30
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
what was tiffany brien's placement at miss world?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Top 30" ]
what was tiffany brien's placement at miss world? || which column contains the placement at miss world? | which column contains the names of miss northern ireland?
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
3
{ "column_index": [ 3 ], "row_index": [ 7 ] }
[ "which column contains the names of miss northern ireland?", "which column contains the placement at miss world?", "what was tiffany brien's placement at miss world?", "what was lucy evangelista's placement??" ]
2
top 15
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
what was lucy evangelista's placement??
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Top 15" ]
what was lucy evangelista's placement?? || what was tiffany brien's placement at miss world? | which column contains the placement at miss world? | which column contains the names of miss northern ireland?
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
4
{ "column_index": [ 3 ], "row_index": [ 7 ] }
[ "which column contains the names of miss northern ireland?", "which column contains the placement at miss world?", "what was tiffany brien's placement at miss world?", "what was lucy evangelista's placement??", "which of these two placements is closer to first place?" ]
2
top 15
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
which of these two placements is closer to first place?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Top 15" ]
which of these two placements is closer to first place? || what was lucy evangelista's placement?? | what was tiffany brien's placement at miss world? | which column contains the placement at miss world? | which column contains the names of miss northern ireland?
ns-2611
col : year | miss northern ireland | hometown | placement at miss world | notes row 1 : 2012 | tiffany brien | belfast | top 30 | top 10 of beach fashion and 1st runner-up of sports row 2 : 2011 | finola guinnane | drumbo | non-finalist | top 20 of beach beauty and top 77 of beauty with a pur row 3 : 2010 | lori moore | belfast | top 25 | winner of sports at miss world 2010 row 4 : 2009 | cherie gardiner | bangor | non-finalist | nan row 5 : 2008 | judith wilson | enniskillen | non-finalist | top 19 of talent at miss world 2008 row 6 : 2007 | melissa patton | belfast | non-finalist | nan row 7 : 2006 | catherine jean milligan | newtownards | top 17 | winner of miss talent at miss world 2006 row 8 : 2005 | lucy evangelista | portglenone | top 15 | later miss united kingdom 2005 and miss universe united kingdom 2005 2nd runner row 9 : 2004 | kirsty anne gabriel stewart | enniskillen | non-finalist | nan row 10 : 2003 | diana sayers | belfast | non-finalist | nan row 11 : 2002 | gayle williamson | lurgan | non-finalist | later miss united kingdom 2002 row 12 : 2001 | angela mccarthy | belfast | non-finalist | nan row 13 : 2000 | julie lee-ann martin | belfast | non-finalist | nan
table_csv/203_727.csv
5
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "which column contains the names of miss northern ireland?", "which column contains the placement at miss world?", "what was tiffany brien's placement at miss world?", "what was lucy evangelista's placement??", "which of these two placements is closer to first place?", "whose placement is this?" ]
2
lucy evangelista
[ "Year", "Miss Northern Ireland", "Hometown", "Placement at Miss World", "Notes" ]
whose placement is this?
[ [ "2012", "Tiffany Brien", "Belfast", "Top 30", "Top 10 of Beach Fashion and 1st runner-up of Sports" ], [ "2011", "Finola Guinnane", "Drumbo", "Non-Finalist", "Top 20 of Beach Beauty and Top 77 of Beauty with a Pur" ], [ "2010", "Lori Moore", "Belfast", "Top 25", "Winner of Sports at Miss World 2010" ], [ "2009", "Cherie Gardiner", "Bangor", "Non-Finalist", "nan" ], [ "2008", "Judith Wilson", "Enniskillen", "Non-Finalist", "Top 19 of Talent at Miss World 2008" ], [ "2007", "Melissa Patton", "Belfast", "Non-Finalist", "nan" ], [ "2006", "Catherine Jean Milligan", "Newtownards", "Top 17", "Winner of Miss Talent at Miss World 2006" ], [ "2005", "Lucy Evangelista", "Portglenone", "Top 15", "Later Miss United Kingdom 2005 and Miss Universe United Kingdom 2005 2nd runner" ], [ "2004", "Kirsty Anne Gabriel Stewart", "Enniskillen", "Non-Finalist", "nan" ], [ "2003", "Diana Sayers", "Belfast", "Non-Finalist", "nan" ], [ "2002", "Gayle Williamson", "Lurgan", "Non-Finalist", "Later Miss United Kingdom 2002" ], [ "2001", "Angela McCarthy", "Belfast", "Non-Finalist", "nan" ], [ "2000", "Julie Lee-Ann Martin", "Belfast", "Non-Finalist", "nan" ] ]
[ "Lucy Evangelista" ]
whose placement is this? || which of these two placements is closer to first place? | what was lucy evangelista's placement?? | what was tiffany brien's placement at miss world? | which column contains the placement at miss world? | which column contains the names of miss northern ireland?
nt-11487
col : club | played | won | drawn | lost | points for | points against | bonus points | points row 1 : biarritz olympique | 26 | 19 | nan | 7 | 694 | 350 | 14 | 90 row 2 : stade francais | 26 | 19 | nan | 7 | 633 | 437 | 13 | 89 row 3 : stade toulousain | 26 | 19 | nan | 7 | 713 | 427 | 12 | 88 row 4 : usa perpignan | 26 | 18 | nan | 8 | 671 | 398 | 12 | 84 row 5 : su agen | 26 | 15 | nan | 11 | 655 | 540 | 10 | 70 row 6 : cs bourgoin-jallieu | 26 | 14 | nan | 12 | 591 | 516 | 11 | 67 row 7 : castres olympique | 26 | 13 | nan | 13 | 685 | 559 | 14 | 66 row 8 : asm clermont | 26 | 14 | nan | 12 | 577 | 569 | 7 | 63 row 9 : ca brive | 26 | 10 | 1.0 | 15 | 431 | 553 | 9 | 51 row 10 : rc narbonne | 26 | 11 | nan | 15 | 533 | 775 | 3 | 47 row 11 : montpellier rc | 26 | 9 | 0.0 | 17 | 574 | 659 | 10 | 46 row 12 : aviron bayonnais | 26 | 8 | 1.0 | 17 | 514 | 669 | 9 | 43 row 13 : section paloise | 26 | 9 | 0.0 | 17 | 476 | 790 | 4 | 40 row 14 : rc toulonnais | 26 | 3 | 0.0 | 23 | 332 | 837 | 7 | 19
table_csv/203_322.csv
0
{ "column_index": [ 8 ], "row_index": [ 6 ] }
[ "how many points does castres olympique have?" ]
0
66
[ "Club", "Played", "Won", "Drawn", "Lost", "Points for", "Points against", "Bonus points", "Points" ]
how many points does castres olympique have?
[ [ "Biarritz Olympique", "26", "19", "nan", "7", "694", "350", "14", "90" ], [ "Stade Francais", "26", "19", "nan", "7", "633", "437", "13", "89" ], [ "Stade Toulousain", "26", "19", "nan", "7", "713", "427", "12", "88" ], [ "USA Perpignan", "26", "18", "nan", "8", "671", "398", "12", "84" ], [ "SU Agen", "26", "15", "nan", "11", "655", "540", "10", "70" ], [ "CS Bourgoin-Jallieu", "26", "14", "nan", "12", "591", "516", "11", "67" ], [ "Castres Olympique", "26", "13", "nan", "13", "685", "559", "14", "66" ], [ "ASM Clermont", "26", "14", "nan", "12", "577", "569", "7", "63" ], [ "CA Brive", "26", "10", "1.0", "15", "431", "553", "9", "51" ], [ "RC Narbonne", "26", "11", "nan", "15", "533", "775", "3", "47" ], [ "Montpellier RC", "26", "9", "0.0", "17", "574", "659", "10", "46" ], [ "Aviron Bayonnais", "26", "8", "1.0", "17", "514", "669", "9", "43" ], [ "Section Paloise", "26", "9", "0.0", "17", "476", "790", "4", "40" ], [ "RC Toulonnais", "26", "3", "0.0", "23", "332", "837", "7", "19" ] ]
[ "66" ]
how many points does castres olympique have? ||
nt-11487
col : club | played | won | drawn | lost | points for | points against | bonus points | points row 1 : biarritz olympique | 26 | 19 | nan | 7 | 694 | 350 | 14 | 90 row 2 : stade francais | 26 | 19 | nan | 7 | 633 | 437 | 13 | 89 row 3 : stade toulousain | 26 | 19 | nan | 7 | 713 | 427 | 12 | 88 row 4 : usa perpignan | 26 | 18 | nan | 8 | 671 | 398 | 12 | 84 row 5 : su agen | 26 | 15 | nan | 11 | 655 | 540 | 10 | 70 row 6 : cs bourgoin-jallieu | 26 | 14 | nan | 12 | 591 | 516 | 11 | 67 row 7 : castres olympique | 26 | 13 | nan | 13 | 685 | 559 | 14 | 66 row 8 : asm clermont | 26 | 14 | nan | 12 | 577 | 569 | 7 | 63 row 9 : ca brive | 26 | 10 | 1.0 | 15 | 431 | 553 | 9 | 51 row 10 : rc narbonne | 26 | 11 | nan | 15 | 533 | 775 | 3 | 47 row 11 : montpellier rc | 26 | 9 | 0.0 | 17 | 574 | 659 | 10 | 46 row 12 : aviron bayonnais | 26 | 8 | 1.0 | 17 | 514 | 669 | 9 | 43 row 13 : section paloise | 26 | 9 | 0.0 | 17 | 476 | 790 | 4 | 40 row 14 : rc toulonnais | 26 | 3 | 0.0 | 23 | 332 | 837 | 7 | 19
table_csv/203_322.csv
1
{ "column_index": [ 8 ], "row_index": [ 4 ] }
[ "how many points does castres olympique have?", "and how many points does su agen have?" ]
0
70
[ "Club", "Played", "Won", "Drawn", "Lost", "Points for", "Points against", "Bonus points", "Points" ]
and how many points does su agen have?
[ [ "Biarritz Olympique", "26", "19", "nan", "7", "694", "350", "14", "90" ], [ "Stade Francais", "26", "19", "nan", "7", "633", "437", "13", "89" ], [ "Stade Toulousain", "26", "19", "nan", "7", "713", "427", "12", "88" ], [ "USA Perpignan", "26", "18", "nan", "8", "671", "398", "12", "84" ], [ "SU Agen", "26", "15", "nan", "11", "655", "540", "10", "70" ], [ "CS Bourgoin-Jallieu", "26", "14", "nan", "12", "591", "516", "11", "67" ], [ "Castres Olympique", "26", "13", "nan", "13", "685", "559", "14", "66" ], [ "ASM Clermont", "26", "14", "nan", "12", "577", "569", "7", "63" ], [ "CA Brive", "26", "10", "1.0", "15", "431", "553", "9", "51" ], [ "RC Narbonne", "26", "11", "nan", "15", "533", "775", "3", "47" ], [ "Montpellier RC", "26", "9", "0.0", "17", "574", "659", "10", "46" ], [ "Aviron Bayonnais", "26", "8", "1.0", "17", "514", "669", "9", "43" ], [ "Section Paloise", "26", "9", "0.0", "17", "476", "790", "4", "40" ], [ "RC Toulonnais", "26", "3", "0.0", "23", "332", "837", "7", "19" ] ]
[ "70" ]
and how many points does su agen have? || how many points does castres olympique have?
nt-11487
col : club | played | won | drawn | lost | points for | points against | bonus points | points row 1 : biarritz olympique | 26 | 19 | nan | 7 | 694 | 350 | 14 | 90 row 2 : stade francais | 26 | 19 | nan | 7 | 633 | 437 | 13 | 89 row 3 : stade toulousain | 26 | 19 | nan | 7 | 713 | 427 | 12 | 88 row 4 : usa perpignan | 26 | 18 | nan | 8 | 671 | 398 | 12 | 84 row 5 : su agen | 26 | 15 | nan | 11 | 655 | 540 | 10 | 70 row 6 : cs bourgoin-jallieu | 26 | 14 | nan | 12 | 591 | 516 | 11 | 67 row 7 : castres olympique | 26 | 13 | nan | 13 | 685 | 559 | 14 | 66 row 8 : asm clermont | 26 | 14 | nan | 12 | 577 | 569 | 7 | 63 row 9 : ca brive | 26 | 10 | 1.0 | 15 | 431 | 553 | 9 | 51 row 10 : rc narbonne | 26 | 11 | nan | 15 | 533 | 775 | 3 | 47 row 11 : montpellier rc | 26 | 9 | 0.0 | 17 | 574 | 659 | 10 | 46 row 12 : aviron bayonnais | 26 | 8 | 1.0 | 17 | 514 | 669 | 9 | 43 row 13 : section paloise | 26 | 9 | 0.0 | 17 | 476 | 790 | 4 | 40 row 14 : rc toulonnais | 26 | 3 | 0.0 | 23 | 332 | 837 | 7 | 19
table_csv/203_322.csv
2
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "how many points does castres olympique have?", "and how many points does su agen have?", "which team of the two had the higher points?" ]
0
su agen
[ "Club", "Played", "Won", "Drawn", "Lost", "Points for", "Points against", "Bonus points", "Points" ]
which team of the two had the higher points?
[ [ "Biarritz Olympique", "26", "19", "nan", "7", "694", "350", "14", "90" ], [ "Stade Francais", "26", "19", "nan", "7", "633", "437", "13", "89" ], [ "Stade Toulousain", "26", "19", "nan", "7", "713", "427", "12", "88" ], [ "USA Perpignan", "26", "18", "nan", "8", "671", "398", "12", "84" ], [ "SU Agen", "26", "15", "nan", "11", "655", "540", "10", "70" ], [ "CS Bourgoin-Jallieu", "26", "14", "nan", "12", "591", "516", "11", "67" ], [ "Castres Olympique", "26", "13", "nan", "13", "685", "559", "14", "66" ], [ "ASM Clermont", "26", "14", "nan", "12", "577", "569", "7", "63" ], [ "CA Brive", "26", "10", "1.0", "15", "431", "553", "9", "51" ], [ "RC Narbonne", "26", "11", "nan", "15", "533", "775", "3", "47" ], [ "Montpellier RC", "26", "9", "0.0", "17", "574", "659", "10", "46" ], [ "Aviron Bayonnais", "26", "8", "1.0", "17", "514", "669", "9", "43" ], [ "Section Paloise", "26", "9", "0.0", "17", "476", "790", "4", "40" ], [ "RC Toulonnais", "26", "3", "0.0", "23", "332", "837", "7", "19" ] ]
[ "SU Agen" ]
which team of the two had the higher points? || and how many points does su agen have? | how many points does castres olympique have?
nt-11487
col : club | played | won | drawn | lost | points for | points against | bonus points | points row 1 : biarritz olympique | 26 | 19 | nan | 7 | 694 | 350 | 14 | 90 row 2 : stade francais | 26 | 19 | nan | 7 | 633 | 437 | 13 | 89 row 3 : stade toulousain | 26 | 19 | nan | 7 | 713 | 427 | 12 | 88 row 4 : usa perpignan | 26 | 18 | nan | 8 | 671 | 398 | 12 | 84 row 5 : su agen | 26 | 15 | nan | 11 | 655 | 540 | 10 | 70 row 6 : cs bourgoin-jallieu | 26 | 14 | nan | 12 | 591 | 516 | 11 | 67 row 7 : castres olympique | 26 | 13 | nan | 13 | 685 | 559 | 14 | 66 row 8 : asm clermont | 26 | 14 | nan | 12 | 577 | 569 | 7 | 63 row 9 : ca brive | 26 | 10 | 1.0 | 15 | 431 | 553 | 9 | 51 row 10 : rc narbonne | 26 | 11 | nan | 15 | 533 | 775 | 3 | 47 row 11 : montpellier rc | 26 | 9 | 0.0 | 17 | 574 | 659 | 10 | 46 row 12 : aviron bayonnais | 26 | 8 | 1.0 | 17 | 514 | 669 | 9 | 43 row 13 : section paloise | 26 | 9 | 0.0 | 17 | 476 | 790 | 4 | 40 row 14 : rc toulonnais | 26 | 3 | 0.0 | 23 | 332 | 837 | 7 | 19
table_csv/203_322.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 ] }
[ "what are the names of all the clubs?" ]
1
biarritz olympique, stade francais, stade toulousain, usa perpignan, su agen, cs bourgoin-jallieu, castres olympique, asm clermont, ca brive, rc narbonne, montpellier rc, aviron bayonnais, section paloise, rc toulonnais
[ "Club", "Played", "Won", "Drawn", "Lost", "Points for", "Points against", "Bonus points", "Points" ]
what are the names of all the clubs?
[ [ "Biarritz Olympique", "26", "19", "nan", "7", "694", "350", "14", "90" ], [ "Stade Francais", "26", "19", "nan", "7", "633", "437", "13", "89" ], [ "Stade Toulousain", "26", "19", "nan", "7", "713", "427", "12", "88" ], [ "USA Perpignan", "26", "18", "nan", "8", "671", "398", "12", "84" ], [ "SU Agen", "26", "15", "nan", "11", "655", "540", "10", "70" ], [ "CS Bourgoin-Jallieu", "26", "14", "nan", "12", "591", "516", "11", "67" ], [ "Castres Olympique", "26", "13", "nan", "13", "685", "559", "14", "66" ], [ "ASM Clermont", "26", "14", "nan", "12", "577", "569", "7", "63" ], [ "CA Brive", "26", "10", "1.0", "15", "431", "553", "9", "51" ], [ "RC Narbonne", "26", "11", "nan", "15", "533", "775", "3", "47" ], [ "Montpellier RC", "26", "9", "0.0", "17", "574", "659", "10", "46" ], [ "Aviron Bayonnais", "26", "8", "1.0", "17", "514", "669", "9", "43" ], [ "Section Paloise", "26", "9", "0.0", "17", "476", "790", "4", "40" ], [ "RC Toulonnais", "26", "3", "0.0", "23", "332", "837", "7", "19" ] ]
[ "Biarritz Olympique", "Stade Francais", "Stade Toulousain", "USA Perpignan", "SU Agen", "CS Bourgoin-Jallieu", "Castres Olympique", "ASM Clermont", "CA Brive", "RC Narbonne", "Montpellier RC", "Aviron Bayonnais", "Section Paloise", "RC Toulonnais" ]
what are the names of all the clubs? ||
nt-11487
col : club | played | won | drawn | lost | points for | points against | bonus points | points row 1 : biarritz olympique | 26 | 19 | nan | 7 | 694 | 350 | 14 | 90 row 2 : stade francais | 26 | 19 | nan | 7 | 633 | 437 | 13 | 89 row 3 : stade toulousain | 26 | 19 | nan | 7 | 713 | 427 | 12 | 88 row 4 : usa perpignan | 26 | 18 | nan | 8 | 671 | 398 | 12 | 84 row 5 : su agen | 26 | 15 | nan | 11 | 655 | 540 | 10 | 70 row 6 : cs bourgoin-jallieu | 26 | 14 | nan | 12 | 591 | 516 | 11 | 67 row 7 : castres olympique | 26 | 13 | nan | 13 | 685 | 559 | 14 | 66 row 8 : asm clermont | 26 | 14 | nan | 12 | 577 | 569 | 7 | 63 row 9 : ca brive | 26 | 10 | 1.0 | 15 | 431 | 553 | 9 | 51 row 10 : rc narbonne | 26 | 11 | nan | 15 | 533 | 775 | 3 | 47 row 11 : montpellier rc | 26 | 9 | 0.0 | 17 | 574 | 659 | 10 | 46 row 12 : aviron bayonnais | 26 | 8 | 1.0 | 17 | 514 | 669 | 9 | 43 row 13 : section paloise | 26 | 9 | 0.0 | 17 | 476 | 790 | 4 | 40 row 14 : rc toulonnais | 26 | 3 | 0.0 | 23 | 332 | 837 | 7 | 19
table_csv/203_322.csv
1
{ "column_index": [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ] }
[ "what are the names of all the clubs?", "and how many points did they win?" ]
1
90, 89, 88, 84, 70, 67, 66, 63, 51, 47, 46, 43, 40, 19
[ "Club", "Played", "Won", "Drawn", "Lost", "Points for", "Points against", "Bonus points", "Points" ]
and how many points did they win?
[ [ "Biarritz Olympique", "26", "19", "nan", "7", "694", "350", "14", "90" ], [ "Stade Francais", "26", "19", "nan", "7", "633", "437", "13", "89" ], [ "Stade Toulousain", "26", "19", "nan", "7", "713", "427", "12", "88" ], [ "USA Perpignan", "26", "18", "nan", "8", "671", "398", "12", "84" ], [ "SU Agen", "26", "15", "nan", "11", "655", "540", "10", "70" ], [ "CS Bourgoin-Jallieu", "26", "14", "nan", "12", "591", "516", "11", "67" ], [ "Castres Olympique", "26", "13", "nan", "13", "685", "559", "14", "66" ], [ "ASM Clermont", "26", "14", "nan", "12", "577", "569", "7", "63" ], [ "CA Brive", "26", "10", "1.0", "15", "431", "553", "9", "51" ], [ "RC Narbonne", "26", "11", "nan", "15", "533", "775", "3", "47" ], [ "Montpellier RC", "26", "9", "0.0", "17", "574", "659", "10", "46" ], [ "Aviron Bayonnais", "26", "8", "1.0", "17", "514", "669", "9", "43" ], [ "Section Paloise", "26", "9", "0.0", "17", "476", "790", "4", "40" ], [ "RC Toulonnais", "26", "3", "0.0", "23", "332", "837", "7", "19" ] ]
[ "90", "89", "88", "84", "70", "67", "66", "63", "51", "47", "46", "43", "40", "19" ]
and how many points did they win? || what are the names of all the clubs?
nt-11487
col : club | played | won | drawn | lost | points for | points against | bonus points | points row 1 : biarritz olympique | 26 | 19 | nan | 7 | 694 | 350 | 14 | 90 row 2 : stade francais | 26 | 19 | nan | 7 | 633 | 437 | 13 | 89 row 3 : stade toulousain | 26 | 19 | nan | 7 | 713 | 427 | 12 | 88 row 4 : usa perpignan | 26 | 18 | nan | 8 | 671 | 398 | 12 | 84 row 5 : su agen | 26 | 15 | nan | 11 | 655 | 540 | 10 | 70 row 6 : cs bourgoin-jallieu | 26 | 14 | nan | 12 | 591 | 516 | 11 | 67 row 7 : castres olympique | 26 | 13 | nan | 13 | 685 | 559 | 14 | 66 row 8 : asm clermont | 26 | 14 | nan | 12 | 577 | 569 | 7 | 63 row 9 : ca brive | 26 | 10 | 1.0 | 15 | 431 | 553 | 9 | 51 row 10 : rc narbonne | 26 | 11 | nan | 15 | 533 | 775 | 3 | 47 row 11 : montpellier rc | 26 | 9 | 0.0 | 17 | 574 | 659 | 10 | 46 row 12 : aviron bayonnais | 26 | 8 | 1.0 | 17 | 514 | 669 | 9 | 43 row 13 : section paloise | 26 | 9 | 0.0 | 17 | 476 | 790 | 4 | 40 row 14 : rc toulonnais | 26 | 3 | 0.0 | 23 | 332 | 837 | 7 | 19
table_csv/203_322.csv
2
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "what are the names of all the clubs?", "and how many points did they win?", "and between su agen and castres olympique, which club scored more points?" ]
1
su agen
[ "Club", "Played", "Won", "Drawn", "Lost", "Points for", "Points against", "Bonus points", "Points" ]
and between su agen and castres olympique, which club scored more points?
[ [ "Biarritz Olympique", "26", "19", "nan", "7", "694", "350", "14", "90" ], [ "Stade Francais", "26", "19", "nan", "7", "633", "437", "13", "89" ], [ "Stade Toulousain", "26", "19", "nan", "7", "713", "427", "12", "88" ], [ "USA Perpignan", "26", "18", "nan", "8", "671", "398", "12", "84" ], [ "SU Agen", "26", "15", "nan", "11", "655", "540", "10", "70" ], [ "CS Bourgoin-Jallieu", "26", "14", "nan", "12", "591", "516", "11", "67" ], [ "Castres Olympique", "26", "13", "nan", "13", "685", "559", "14", "66" ], [ "ASM Clermont", "26", "14", "nan", "12", "577", "569", "7", "63" ], [ "CA Brive", "26", "10", "1.0", "15", "431", "553", "9", "51" ], [ "RC Narbonne", "26", "11", "nan", "15", "533", "775", "3", "47" ], [ "Montpellier RC", "26", "9", "0.0", "17", "574", "659", "10", "46" ], [ "Aviron Bayonnais", "26", "8", "1.0", "17", "514", "669", "9", "43" ], [ "Section Paloise", "26", "9", "0.0", "17", "476", "790", "4", "40" ], [ "RC Toulonnais", "26", "3", "0.0", "23", "332", "837", "7", "19" ] ]
[ "SU Agen" ]
and between su agen and castres olympique, which club scored more points? || and how many points did they win? | what are the names of all the clubs?
nt-11487
col : club | played | won | drawn | lost | points for | points against | bonus points | points row 1 : biarritz olympique | 26 | 19 | nan | 7 | 694 | 350 | 14 | 90 row 2 : stade francais | 26 | 19 | nan | 7 | 633 | 437 | 13 | 89 row 3 : stade toulousain | 26 | 19 | nan | 7 | 713 | 427 | 12 | 88 row 4 : usa perpignan | 26 | 18 | nan | 8 | 671 | 398 | 12 | 84 row 5 : su agen | 26 | 15 | nan | 11 | 655 | 540 | 10 | 70 row 6 : cs bourgoin-jallieu | 26 | 14 | nan | 12 | 591 | 516 | 11 | 67 row 7 : castres olympique | 26 | 13 | nan | 13 | 685 | 559 | 14 | 66 row 8 : asm clermont | 26 | 14 | nan | 12 | 577 | 569 | 7 | 63 row 9 : ca brive | 26 | 10 | 1.0 | 15 | 431 | 553 | 9 | 51 row 10 : rc narbonne | 26 | 11 | nan | 15 | 533 | 775 | 3 | 47 row 11 : montpellier rc | 26 | 9 | 0.0 | 17 | 574 | 659 | 10 | 46 row 12 : aviron bayonnais | 26 | 8 | 1.0 | 17 | 514 | 669 | 9 | 43 row 13 : section paloise | 26 | 9 | 0.0 | 17 | 476 | 790 | 4 | 40 row 14 : rc toulonnais | 26 | 3 | 0.0 | 23 | 332 | 837 | 7 | 19
table_csv/203_322.csv
0
{ "column_index": [ 8 ], "row_index": [ 4 ] }
[ "how many points did su agen have?" ]
2
70
[ "Club", "Played", "Won", "Drawn", "Lost", "Points for", "Points against", "Bonus points", "Points" ]
how many points did su agen have?
[ [ "Biarritz Olympique", "26", "19", "nan", "7", "694", "350", "14", "90" ], [ "Stade Francais", "26", "19", "nan", "7", "633", "437", "13", "89" ], [ "Stade Toulousain", "26", "19", "nan", "7", "713", "427", "12", "88" ], [ "USA Perpignan", "26", "18", "nan", "8", "671", "398", "12", "84" ], [ "SU Agen", "26", "15", "nan", "11", "655", "540", "10", "70" ], [ "CS Bourgoin-Jallieu", "26", "14", "nan", "12", "591", "516", "11", "67" ], [ "Castres Olympique", "26", "13", "nan", "13", "685", "559", "14", "66" ], [ "ASM Clermont", "26", "14", "nan", "12", "577", "569", "7", "63" ], [ "CA Brive", "26", "10", "1.0", "15", "431", "553", "9", "51" ], [ "RC Narbonne", "26", "11", "nan", "15", "533", "775", "3", "47" ], [ "Montpellier RC", "26", "9", "0.0", "17", "574", "659", "10", "46" ], [ "Aviron Bayonnais", "26", "8", "1.0", "17", "514", "669", "9", "43" ], [ "Section Paloise", "26", "9", "0.0", "17", "476", "790", "4", "40" ], [ "RC Toulonnais", "26", "3", "0.0", "23", "332", "837", "7", "19" ] ]
[ "70" ]
how many points did su agen have? ||
nt-11487
col : club | played | won | drawn | lost | points for | points against | bonus points | points row 1 : biarritz olympique | 26 | 19 | nan | 7 | 694 | 350 | 14 | 90 row 2 : stade francais | 26 | 19 | nan | 7 | 633 | 437 | 13 | 89 row 3 : stade toulousain | 26 | 19 | nan | 7 | 713 | 427 | 12 | 88 row 4 : usa perpignan | 26 | 18 | nan | 8 | 671 | 398 | 12 | 84 row 5 : su agen | 26 | 15 | nan | 11 | 655 | 540 | 10 | 70 row 6 : cs bourgoin-jallieu | 26 | 14 | nan | 12 | 591 | 516 | 11 | 67 row 7 : castres olympique | 26 | 13 | nan | 13 | 685 | 559 | 14 | 66 row 8 : asm clermont | 26 | 14 | nan | 12 | 577 | 569 | 7 | 63 row 9 : ca brive | 26 | 10 | 1.0 | 15 | 431 | 553 | 9 | 51 row 10 : rc narbonne | 26 | 11 | nan | 15 | 533 | 775 | 3 | 47 row 11 : montpellier rc | 26 | 9 | 0.0 | 17 | 574 | 659 | 10 | 46 row 12 : aviron bayonnais | 26 | 8 | 1.0 | 17 | 514 | 669 | 9 | 43 row 13 : section paloise | 26 | 9 | 0.0 | 17 | 476 | 790 | 4 | 40 row 14 : rc toulonnais | 26 | 3 | 0.0 | 23 | 332 | 837 | 7 | 19
table_csv/203_322.csv
1
{ "column_index": [ 8 ], "row_index": [ 6 ] }
[ "how many points did su agen have?", "how many points did castres olympique have?" ]
2
66
[ "Club", "Played", "Won", "Drawn", "Lost", "Points for", "Points against", "Bonus points", "Points" ]
how many points did castres olympique have?
[ [ "Biarritz Olympique", "26", "19", "nan", "7", "694", "350", "14", "90" ], [ "Stade Francais", "26", "19", "nan", "7", "633", "437", "13", "89" ], [ "Stade Toulousain", "26", "19", "nan", "7", "713", "427", "12", "88" ], [ "USA Perpignan", "26", "18", "nan", "8", "671", "398", "12", "84" ], [ "SU Agen", "26", "15", "nan", "11", "655", "540", "10", "70" ], [ "CS Bourgoin-Jallieu", "26", "14", "nan", "12", "591", "516", "11", "67" ], [ "Castres Olympique", "26", "13", "nan", "13", "685", "559", "14", "66" ], [ "ASM Clermont", "26", "14", "nan", "12", "577", "569", "7", "63" ], [ "CA Brive", "26", "10", "1.0", "15", "431", "553", "9", "51" ], [ "RC Narbonne", "26", "11", "nan", "15", "533", "775", "3", "47" ], [ "Montpellier RC", "26", "9", "0.0", "17", "574", "659", "10", "46" ], [ "Aviron Bayonnais", "26", "8", "1.0", "17", "514", "669", "9", "43" ], [ "Section Paloise", "26", "9", "0.0", "17", "476", "790", "4", "40" ], [ "RC Toulonnais", "26", "3", "0.0", "23", "332", "837", "7", "19" ] ]
[ "66" ]
how many points did castres olympique have? || how many points did su agen have?
nt-11487
col : club | played | won | drawn | lost | points for | points against | bonus points | points row 1 : biarritz olympique | 26 | 19 | nan | 7 | 694 | 350 | 14 | 90 row 2 : stade francais | 26 | 19 | nan | 7 | 633 | 437 | 13 | 89 row 3 : stade toulousain | 26 | 19 | nan | 7 | 713 | 427 | 12 | 88 row 4 : usa perpignan | 26 | 18 | nan | 8 | 671 | 398 | 12 | 84 row 5 : su agen | 26 | 15 | nan | 11 | 655 | 540 | 10 | 70 row 6 : cs bourgoin-jallieu | 26 | 14 | nan | 12 | 591 | 516 | 11 | 67 row 7 : castres olympique | 26 | 13 | nan | 13 | 685 | 559 | 14 | 66 row 8 : asm clermont | 26 | 14 | nan | 12 | 577 | 569 | 7 | 63 row 9 : ca brive | 26 | 10 | 1.0 | 15 | 431 | 553 | 9 | 51 row 10 : rc narbonne | 26 | 11 | nan | 15 | 533 | 775 | 3 | 47 row 11 : montpellier rc | 26 | 9 | 0.0 | 17 | 574 | 659 | 10 | 46 row 12 : aviron bayonnais | 26 | 8 | 1.0 | 17 | 514 | 669 | 9 | 43 row 13 : section paloise | 26 | 9 | 0.0 | 17 | 476 | 790 | 4 | 40 row 14 : rc toulonnais | 26 | 3 | 0.0 | 23 | 332 | 837 | 7 | 19
table_csv/203_322.csv
2
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "how many points did su agen have?", "how many points did castres olympique have?", "who scored more points between those two?" ]
2
su agen
[ "Club", "Played", "Won", "Drawn", "Lost", "Points for", "Points against", "Bonus points", "Points" ]
who scored more points between those two?
[ [ "Biarritz Olympique", "26", "19", "nan", "7", "694", "350", "14", "90" ], [ "Stade Francais", "26", "19", "nan", "7", "633", "437", "13", "89" ], [ "Stade Toulousain", "26", "19", "nan", "7", "713", "427", "12", "88" ], [ "USA Perpignan", "26", "18", "nan", "8", "671", "398", "12", "84" ], [ "SU Agen", "26", "15", "nan", "11", "655", "540", "10", "70" ], [ "CS Bourgoin-Jallieu", "26", "14", "nan", "12", "591", "516", "11", "67" ], [ "Castres Olympique", "26", "13", "nan", "13", "685", "559", "14", "66" ], [ "ASM Clermont", "26", "14", "nan", "12", "577", "569", "7", "63" ], [ "CA Brive", "26", "10", "1.0", "15", "431", "553", "9", "51" ], [ "RC Narbonne", "26", "11", "nan", "15", "533", "775", "3", "47" ], [ "Montpellier RC", "26", "9", "0.0", "17", "574", "659", "10", "46" ], [ "Aviron Bayonnais", "26", "8", "1.0", "17", "514", "669", "9", "43" ], [ "Section Paloise", "26", "9", "0.0", "17", "476", "790", "4", "40" ], [ "RC Toulonnais", "26", "3", "0.0", "23", "332", "837", "7", "19" ] ]
[ "SU Agen" ]
who scored more points between those two? || how many points did castres olympique have? | how many points did su agen have?
nt-2156
col : team | home city | stadium | capacity | last season row 1 : barak netanya | netanya | yeshurun | 1,000 | 9th row 2 : bnei hasharon/herzliya | herzliya | hayovel herzliya | 1,750 | 10th row 3 : hapoel gilboa galil | gilboa regional council | gan ner sports hall | 2,400 | 2nd row 4 : hapoel holon | holon | holon city arena | 2,850 | 5th row 5 : hapoel jerusalem | jerusalem | malha arena | 3,000 | 4th row 6 : ironi ashkelon | ashkelon | ashkelon sports arena | 3,000 | 6th row 7 : maccabi ashdod | ashdod | hakiriya arena | 1,260 | 7th row 8 : hapoel eilat b.c. | eilat | begin arena | 1,100 | 8th (as habik'a b.c.) row 9 : maccabi haifa | haifa | romema arena | 5,000 | 11th row 10 : maccabi rishon lezion | rishon lezion | beit maccabi rishon | 2,500 | 3rd row 11 : maccabi tel aviv | tel aviv | nokia arena | 11,700 | 1st row 12 : hapoel tel aviv | tel aviv | beit maccabi rishon | 2,500 | 1st (liga leumit)
table_csv/204_195.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "what are the home cities of the israeli basketball super league" ]
0
netanya, herzliya, gilboa regional council, holon, jerusalem, ashkelon, ashdod, eilat, haifa, rishon lezion, tel aviv, tel aviv
[ "Team", "Home city", "Stadium", "Capacity", "Last Season" ]
what are the home cities of the israeli basketball super league
[ [ "Barak Netanya", "Netanya", "Yeshurun", "1,000", "9th" ], [ "Bnei HaSharon/Herzliya", "Herzliya", "HaYovel Herzliya", "1,750", "10th" ], [ "Hapoel Gilboa Galil", "Gilboa Regional Council", "Gan Ner Sports Hall", "2,400", "2nd" ], [ "Hapoel Holon", "Holon", "Holon City Arena", "2,850", "5th" ], [ "Hapoel Jerusalem", "Jerusalem", "Malha Arena", "3,000", "4th" ], [ "Ironi Ashkelon", "Ashkelon", "Ashkelon Sports Arena", "3,000", "6th" ], [ "Maccabi Ashdod", "Ashdod", "HaKiriya Arena", "1,260", "7th" ], [ "Hapoel Eilat B.C.", "Eilat", "Begin Arena", "1,100", "8th (as Habik'a B.C.)" ], [ "Maccabi Haifa", "Haifa", "Romema Arena", "5,000", "11th" ], [ "Maccabi Rishon LeZion", "Rishon LeZion", "Beit Maccabi Rishon", "2,500", "3rd" ], [ "Maccabi Tel Aviv", "Tel Aviv", "Nokia Arena", "11,700", "1st" ], [ "Hapoel Tel Aviv", "Tel Aviv", "Beit Maccabi Rishon", "2,500", "1st (Liga Leumit)" ] ]
[ "Netanya", "Herzliya", "Gilboa Regional Council", "Holon", "Jerusalem", "Ashkelon", "Ashdod", "Eilat", "Haifa", "Rishon LeZion", "Tel Aviv", "Tel Aviv" ]
what are the home cities of the israeli basketball super league ||
nt-2156
col : team | home city | stadium | capacity | last season row 1 : barak netanya | netanya | yeshurun | 1,000 | 9th row 2 : bnei hasharon/herzliya | herzliya | hayovel herzliya | 1,750 | 10th row 3 : hapoel gilboa galil | gilboa regional council | gan ner sports hall | 2,400 | 2nd row 4 : hapoel holon | holon | holon city arena | 2,850 | 5th row 5 : hapoel jerusalem | jerusalem | malha arena | 3,000 | 4th row 6 : ironi ashkelon | ashkelon | ashkelon sports arena | 3,000 | 6th row 7 : maccabi ashdod | ashdod | hakiriya arena | 1,260 | 7th row 8 : hapoel eilat b.c. | eilat | begin arena | 1,100 | 8th (as habik'a b.c.) row 9 : maccabi haifa | haifa | romema arena | 5,000 | 11th row 10 : maccabi rishon lezion | rishon lezion | beit maccabi rishon | 2,500 | 3rd row 11 : maccabi tel aviv | tel aviv | nokia arena | 11,700 | 1st row 12 : hapoel tel aviv | tel aviv | beit maccabi rishon | 2,500 | 1st (liga leumit)
table_csv/204_195.csv
1
{ "column_index": [ 3 ], "row_index": [ 3 ] }
[ "what are the home cities of the israeli basketball super league", "how many people can attend a game in the home city of holon?" ]
0
2,850
[ "Team", "Home city", "Stadium", "Capacity", "Last Season" ]
how many people can attend a game in the home city of holon?
[ [ "Barak Netanya", "Netanya", "Yeshurun", "1,000", "9th" ], [ "Bnei HaSharon/Herzliya", "Herzliya", "HaYovel Herzliya", "1,750", "10th" ], [ "Hapoel Gilboa Galil", "Gilboa Regional Council", "Gan Ner Sports Hall", "2,400", "2nd" ], [ "Hapoel Holon", "Holon", "Holon City Arena", "2,850", "5th" ], [ "Hapoel Jerusalem", "Jerusalem", "Malha Arena", "3,000", "4th" ], [ "Ironi Ashkelon", "Ashkelon", "Ashkelon Sports Arena", "3,000", "6th" ], [ "Maccabi Ashdod", "Ashdod", "HaKiriya Arena", "1,260", "7th" ], [ "Hapoel Eilat B.C.", "Eilat", "Begin Arena", "1,100", "8th (as Habik'a B.C.)" ], [ "Maccabi Haifa", "Haifa", "Romema Arena", "5,000", "11th" ], [ "Maccabi Rishon LeZion", "Rishon LeZion", "Beit Maccabi Rishon", "2,500", "3rd" ], [ "Maccabi Tel Aviv", "Tel Aviv", "Nokia Arena", "11,700", "1st" ], [ "Hapoel Tel Aviv", "Tel Aviv", "Beit Maccabi Rishon", "2,500", "1st (Liga Leumit)" ] ]
[ "2,850" ]
how many people can attend a game in the home city of holon? || what are the home cities of the israeli basketball super league
nt-2156
col : team | home city | stadium | capacity | last season row 1 : barak netanya | netanya | yeshurun | 1,000 | 9th row 2 : bnei hasharon/herzliya | herzliya | hayovel herzliya | 1,750 | 10th row 3 : hapoel gilboa galil | gilboa regional council | gan ner sports hall | 2,400 | 2nd row 4 : hapoel holon | holon | holon city arena | 2,850 | 5th row 5 : hapoel jerusalem | jerusalem | malha arena | 3,000 | 4th row 6 : ironi ashkelon | ashkelon | ashkelon sports arena | 3,000 | 6th row 7 : maccabi ashdod | ashdod | hakiriya arena | 1,260 | 7th row 8 : hapoel eilat b.c. | eilat | begin arena | 1,100 | 8th (as habik'a b.c.) row 9 : maccabi haifa | haifa | romema arena | 5,000 | 11th row 10 : maccabi rishon lezion | rishon lezion | beit maccabi rishon | 2,500 | 3rd row 11 : maccabi tel aviv | tel aviv | nokia arena | 11,700 | 1st row 12 : hapoel tel aviv | tel aviv | beit maccabi rishon | 2,500 | 1st (liga leumit)
table_csv/204_195.csv
0
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "what team plays at the holon city arena?" ]
1
hapoel holon
[ "Team", "Home city", "Stadium", "Capacity", "Last Season" ]
what team plays at the holon city arena?
[ [ "Barak Netanya", "Netanya", "Yeshurun", "1,000", "9th" ], [ "Bnei HaSharon/Herzliya", "Herzliya", "HaYovel Herzliya", "1,750", "10th" ], [ "Hapoel Gilboa Galil", "Gilboa Regional Council", "Gan Ner Sports Hall", "2,400", "2nd" ], [ "Hapoel Holon", "Holon", "Holon City Arena", "2,850", "5th" ], [ "Hapoel Jerusalem", "Jerusalem", "Malha Arena", "3,000", "4th" ], [ "Ironi Ashkelon", "Ashkelon", "Ashkelon Sports Arena", "3,000", "6th" ], [ "Maccabi Ashdod", "Ashdod", "HaKiriya Arena", "1,260", "7th" ], [ "Hapoel Eilat B.C.", "Eilat", "Begin Arena", "1,100", "8th (as Habik'a B.C.)" ], [ "Maccabi Haifa", "Haifa", "Romema Arena", "5,000", "11th" ], [ "Maccabi Rishon LeZion", "Rishon LeZion", "Beit Maccabi Rishon", "2,500", "3rd" ], [ "Maccabi Tel Aviv", "Tel Aviv", "Nokia Arena", "11,700", "1st" ], [ "Hapoel Tel Aviv", "Tel Aviv", "Beit Maccabi Rishon", "2,500", "1st (Liga Leumit)" ] ]
[ "Hapoel Holon" ]
what team plays at the holon city arena? ||
nt-2156
col : team | home city | stadium | capacity | last season row 1 : barak netanya | netanya | yeshurun | 1,000 | 9th row 2 : bnei hasharon/herzliya | herzliya | hayovel herzliya | 1,750 | 10th row 3 : hapoel gilboa galil | gilboa regional council | gan ner sports hall | 2,400 | 2nd row 4 : hapoel holon | holon | holon city arena | 2,850 | 5th row 5 : hapoel jerusalem | jerusalem | malha arena | 3,000 | 4th row 6 : ironi ashkelon | ashkelon | ashkelon sports arena | 3,000 | 6th row 7 : maccabi ashdod | ashdod | hakiriya arena | 1,260 | 7th row 8 : hapoel eilat b.c. | eilat | begin arena | 1,100 | 8th (as habik'a b.c.) row 9 : maccabi haifa | haifa | romema arena | 5,000 | 11th row 10 : maccabi rishon lezion | rishon lezion | beit maccabi rishon | 2,500 | 3rd row 11 : maccabi tel aviv | tel aviv | nokia arena | 11,700 | 1st row 12 : hapoel tel aviv | tel aviv | beit maccabi rishon | 2,500 | 1st (liga leumit)
table_csv/204_195.csv
1
{ "column_index": [ 3 ], "row_index": [ 3 ] }
[ "what team plays at the holon city arena?", "what is the maximum capacity of people that the stadium takes?" ]
1
2,850
[ "Team", "Home city", "Stadium", "Capacity", "Last Season" ]
what is the maximum capacity of people that the stadium takes?
[ [ "Barak Netanya", "Netanya", "Yeshurun", "1,000", "9th" ], [ "Bnei HaSharon/Herzliya", "Herzliya", "HaYovel Herzliya", "1,750", "10th" ], [ "Hapoel Gilboa Galil", "Gilboa Regional Council", "Gan Ner Sports Hall", "2,400", "2nd" ], [ "Hapoel Holon", "Holon", "Holon City Arena", "2,850", "5th" ], [ "Hapoel Jerusalem", "Jerusalem", "Malha Arena", "3,000", "4th" ], [ "Ironi Ashkelon", "Ashkelon", "Ashkelon Sports Arena", "3,000", "6th" ], [ "Maccabi Ashdod", "Ashdod", "HaKiriya Arena", "1,260", "7th" ], [ "Hapoel Eilat B.C.", "Eilat", "Begin Arena", "1,100", "8th (as Habik'a B.C.)" ], [ "Maccabi Haifa", "Haifa", "Romema Arena", "5,000", "11th" ], [ "Maccabi Rishon LeZion", "Rishon LeZion", "Beit Maccabi Rishon", "2,500", "3rd" ], [ "Maccabi Tel Aviv", "Tel Aviv", "Nokia Arena", "11,700", "1st" ], [ "Hapoel Tel Aviv", "Tel Aviv", "Beit Maccabi Rishon", "2,500", "1st (Liga Leumit)" ] ]
[ "2,850" ]
what is the maximum capacity of people that the stadium takes? || what team plays at the holon city arena?
nt-2156
col : team | home city | stadium | capacity | last season row 1 : barak netanya | netanya | yeshurun | 1,000 | 9th row 2 : bnei hasharon/herzliya | herzliya | hayovel herzliya | 1,750 | 10th row 3 : hapoel gilboa galil | gilboa regional council | gan ner sports hall | 2,400 | 2nd row 4 : hapoel holon | holon | holon city arena | 2,850 | 5th row 5 : hapoel jerusalem | jerusalem | malha arena | 3,000 | 4th row 6 : ironi ashkelon | ashkelon | ashkelon sports arena | 3,000 | 6th row 7 : maccabi ashdod | ashdod | hakiriya arena | 1,260 | 7th row 8 : hapoel eilat b.c. | eilat | begin arena | 1,100 | 8th (as habik'a b.c.) row 9 : maccabi haifa | haifa | romema arena | 5,000 | 11th row 10 : maccabi rishon lezion | rishon lezion | beit maccabi rishon | 2,500 | 3rd row 11 : maccabi tel aviv | tel aviv | nokia arena | 11,700 | 1st row 12 : hapoel tel aviv | tel aviv | beit maccabi rishon | 2,500 | 1st (liga leumit)
table_csv/204_195.csv
0
{ "column_index": [ 2 ], "row_index": [ 3 ] }
[ "is there a stadium named holon city arena?" ]
2
holon city arena
[ "Team", "Home city", "Stadium", "Capacity", "Last Season" ]
is there a stadium named holon city arena?
[ [ "Barak Netanya", "Netanya", "Yeshurun", "1,000", "9th" ], [ "Bnei HaSharon/Herzliya", "Herzliya", "HaYovel Herzliya", "1,750", "10th" ], [ "Hapoel Gilboa Galil", "Gilboa Regional Council", "Gan Ner Sports Hall", "2,400", "2nd" ], [ "Hapoel Holon", "Holon", "Holon City Arena", "2,850", "5th" ], [ "Hapoel Jerusalem", "Jerusalem", "Malha Arena", "3,000", "4th" ], [ "Ironi Ashkelon", "Ashkelon", "Ashkelon Sports Arena", "3,000", "6th" ], [ "Maccabi Ashdod", "Ashdod", "HaKiriya Arena", "1,260", "7th" ], [ "Hapoel Eilat B.C.", "Eilat", "Begin Arena", "1,100", "8th (as Habik'a B.C.)" ], [ "Maccabi Haifa", "Haifa", "Romema Arena", "5,000", "11th" ], [ "Maccabi Rishon LeZion", "Rishon LeZion", "Beit Maccabi Rishon", "2,500", "3rd" ], [ "Maccabi Tel Aviv", "Tel Aviv", "Nokia Arena", "11,700", "1st" ], [ "Hapoel Tel Aviv", "Tel Aviv", "Beit Maccabi Rishon", "2,500", "1st (Liga Leumit)" ] ]
[ "Holon City Arena" ]
is there a stadium named holon city arena? ||
nt-2156
col : team | home city | stadium | capacity | last season row 1 : barak netanya | netanya | yeshurun | 1,000 | 9th row 2 : bnei hasharon/herzliya | herzliya | hayovel herzliya | 1,750 | 10th row 3 : hapoel gilboa galil | gilboa regional council | gan ner sports hall | 2,400 | 2nd row 4 : hapoel holon | holon | holon city arena | 2,850 | 5th row 5 : hapoel jerusalem | jerusalem | malha arena | 3,000 | 4th row 6 : ironi ashkelon | ashkelon | ashkelon sports arena | 3,000 | 6th row 7 : maccabi ashdod | ashdod | hakiriya arena | 1,260 | 7th row 8 : hapoel eilat b.c. | eilat | begin arena | 1,100 | 8th (as habik'a b.c.) row 9 : maccabi haifa | haifa | romema arena | 5,000 | 11th row 10 : maccabi rishon lezion | rishon lezion | beit maccabi rishon | 2,500 | 3rd row 11 : maccabi tel aviv | tel aviv | nokia arena | 11,700 | 1st row 12 : hapoel tel aviv | tel aviv | beit maccabi rishon | 2,500 | 1st (liga leumit)
table_csv/204_195.csv
1
{ "column_index": [ 3 ], "row_index": [ 3 ] }
[ "is there a stadium named holon city arena?", "what is the capacity of the holon city arena?" ]
2
2,850
[ "Team", "Home city", "Stadium", "Capacity", "Last Season" ]
what is the capacity of the holon city arena?
[ [ "Barak Netanya", "Netanya", "Yeshurun", "1,000", "9th" ], [ "Bnei HaSharon/Herzliya", "Herzliya", "HaYovel Herzliya", "1,750", "10th" ], [ "Hapoel Gilboa Galil", "Gilboa Regional Council", "Gan Ner Sports Hall", "2,400", "2nd" ], [ "Hapoel Holon", "Holon", "Holon City Arena", "2,850", "5th" ], [ "Hapoel Jerusalem", "Jerusalem", "Malha Arena", "3,000", "4th" ], [ "Ironi Ashkelon", "Ashkelon", "Ashkelon Sports Arena", "3,000", "6th" ], [ "Maccabi Ashdod", "Ashdod", "HaKiriya Arena", "1,260", "7th" ], [ "Hapoel Eilat B.C.", "Eilat", "Begin Arena", "1,100", "8th (as Habik'a B.C.)" ], [ "Maccabi Haifa", "Haifa", "Romema Arena", "5,000", "11th" ], [ "Maccabi Rishon LeZion", "Rishon LeZion", "Beit Maccabi Rishon", "2,500", "3rd" ], [ "Maccabi Tel Aviv", "Tel Aviv", "Nokia Arena", "11,700", "1st" ], [ "Hapoel Tel Aviv", "Tel Aviv", "Beit Maccabi Rishon", "2,500", "1st (Liga Leumit)" ] ]
[ "2,850" ]
what is the capacity of the holon city arena? || is there a stadium named holon city arena?
nt-10023
col : year | title | peak chart positions us air | peak chart positions us main | peak chart positions us mod | album row 1 : 1990 | dig a hole | -- | -- | -- | non-album single row 2 : 1993 | mister love | -- | -- | -- | velvet row 3 : 1994 | mister love | -- | -- | -- | rubberneck row 4 : 1995 | possum kingdom | 40 | 9 | 4 | rubberneck row 5 : 1995 | away | -- | 23 | 28 | rubberneck row 6 : 1996 | tyler | -- | -- | -- | rubberneck row 7 : 1996 | backslider | -- | -- | -- | rubberneck row 8 : 2001 | push the hand | -- | 34 | -- | hell below/stars above row 9 : 2008 | no deliverance | -- | 38 | -- | no deliverance row 10 : 2009 | song i hate | -- | -- | -- | no deliverance row 11 : 2012 | summer of the strange | -- | -- | -- | play.rock.music
table_csv/203_751.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what where the song titles for the toadies?" ]
0
dig a hole, mister love, mister love, possum kingdom, away, tyler, backslider, push the hand, no deliverance, song i hate, summer of the strange
[ "Year", "Title", "Peak chart positions US Air", "Peak chart positions US Main", "Peak chart positions US Mod", "Album" ]
what where the song titles for the toadies?
[ [ "1990", "Dig a Hole", "--", "--", "--", "Non-album single" ], [ "1993", "Mister Love", "--", "--", "--", "Velvet" ], [ "1994", "Mister Love", "--", "--", "--", "Rubberneck" ], [ "1995", "Possum Kingdom", "40", "9", "4", "Rubberneck" ], [ "1995", "Away", "--", "23", "28", "Rubberneck" ], [ "1996", "Tyler", "--", "--", "--", "Rubberneck" ], [ "1996", "Backslider", "--", "--", "--", "Rubberneck" ], [ "2001", "Push the Hand", "--", "34", "--", "Hell Below/Stars Above" ], [ "2008", "No Deliverance", "--", "38", "--", "No Deliverance" ], [ "2009", "Song I Hate", "--", "--", "--", "No Deliverance" ], [ "2012", "Summer of the Strange", "--", "--", "--", "Play.Rock.Music" ] ]
[ "Dig a Hole", "Mister Love", "Mister Love", "Possum Kingdom", "Away", "Tyler", "Backslider", "Push the Hand", "No Deliverance", "Song I Hate", "Summer of the Strange" ]
what where the song titles for the toadies? ||
nt-10023
col : year | title | peak chart positions us air | peak chart positions us main | peak chart positions us mod | album row 1 : 1990 | dig a hole | -- | -- | -- | non-album single row 2 : 1993 | mister love | -- | -- | -- | velvet row 3 : 1994 | mister love | -- | -- | -- | rubberneck row 4 : 1995 | possum kingdom | 40 | 9 | 4 | rubberneck row 5 : 1995 | away | -- | 23 | 28 | rubberneck row 6 : 1996 | tyler | -- | -- | -- | rubberneck row 7 : 1996 | backslider | -- | -- | -- | rubberneck row 8 : 2001 | push the hand | -- | 34 | -- | hell below/stars above row 9 : 2008 | no deliverance | -- | 38 | -- | no deliverance row 10 : 2009 | song i hate | -- | -- | -- | no deliverance row 11 : 2012 | summer of the strange | -- | -- | -- | play.rock.music
table_csv/203_751.csv
1
{ "column_index": [ 5, 5 ], "row_index": [ 1, 2 ] }
[ "what where the song titles for the toadies?", "what album has the title mister love" ]
0
velvet, rubberneck
[ "Year", "Title", "Peak chart positions US Air", "Peak chart positions US Main", "Peak chart positions US Mod", "Album" ]
what album has the title mister love
[ [ "1990", "Dig a Hole", "--", "--", "--", "Non-album single" ], [ "1993", "Mister Love", "--", "--", "--", "Velvet" ], [ "1994", "Mister Love", "--", "--", "--", "Rubberneck" ], [ "1995", "Possum Kingdom", "40", "9", "4", "Rubberneck" ], [ "1995", "Away", "--", "23", "28", "Rubberneck" ], [ "1996", "Tyler", "--", "--", "--", "Rubberneck" ], [ "1996", "Backslider", "--", "--", "--", "Rubberneck" ], [ "2001", "Push the Hand", "--", "34", "--", "Hell Below/Stars Above" ], [ "2008", "No Deliverance", "--", "38", "--", "No Deliverance" ], [ "2009", "Song I Hate", "--", "--", "--", "No Deliverance" ], [ "2012", "Summer of the Strange", "--", "--", "--", "Play.Rock.Music" ] ]
[ "Velvet", "Rubberneck" ]
what album has the title mister love || what where the song titles for the toadies?
nt-10023
col : year | title | peak chart positions us air | peak chart positions us main | peak chart positions us mod | album row 1 : 1990 | dig a hole | -- | -- | -- | non-album single row 2 : 1993 | mister love | -- | -- | -- | velvet row 3 : 1994 | mister love | -- | -- | -- | rubberneck row 4 : 1995 | possum kingdom | 40 | 9 | 4 | rubberneck row 5 : 1995 | away | -- | 23 | 28 | rubberneck row 6 : 1996 | tyler | -- | -- | -- | rubberneck row 7 : 1996 | backslider | -- | -- | -- | rubberneck row 8 : 2001 | push the hand | -- | 34 | -- | hell below/stars above row 9 : 2008 | no deliverance | -- | 38 | -- | no deliverance row 10 : 2009 | song i hate | -- | -- | -- | no deliverance row 11 : 2012 | summer of the strange | -- | -- | -- | play.rock.music
table_csv/203_751.csv
2
{ "column_index": [ 5 ], "row_index": [ 1 ] }
[ "what where the song titles for the toadies?", "what album has the title mister love", "which album was released in 1993?" ]
0
velvet
[ "Year", "Title", "Peak chart positions US Air", "Peak chart positions US Main", "Peak chart positions US Mod", "Album" ]
which album was released in 1993?
[ [ "1990", "Dig a Hole", "--", "--", "--", "Non-album single" ], [ "1993", "Mister Love", "--", "--", "--", "Velvet" ], [ "1994", "Mister Love", "--", "--", "--", "Rubberneck" ], [ "1995", "Possum Kingdom", "40", "9", "4", "Rubberneck" ], [ "1995", "Away", "--", "23", "28", "Rubberneck" ], [ "1996", "Tyler", "--", "--", "--", "Rubberneck" ], [ "1996", "Backslider", "--", "--", "--", "Rubberneck" ], [ "2001", "Push the Hand", "--", "34", "--", "Hell Below/Stars Above" ], [ "2008", "No Deliverance", "--", "38", "--", "No Deliverance" ], [ "2009", "Song I Hate", "--", "--", "--", "No Deliverance" ], [ "2012", "Summer of the Strange", "--", "--", "--", "Play.Rock.Music" ] ]
[ "Velvet" ]
which album was released in 1993? || what album has the title mister love | what where the song titles for the toadies?
nt-10023
col : year | title | peak chart positions us air | peak chart positions us main | peak chart positions us mod | album row 1 : 1990 | dig a hole | -- | -- | -- | non-album single row 2 : 1993 | mister love | -- | -- | -- | velvet row 3 : 1994 | mister love | -- | -- | -- | rubberneck row 4 : 1995 | possum kingdom | 40 | 9 | 4 | rubberneck row 5 : 1995 | away | -- | 23 | 28 | rubberneck row 6 : 1996 | tyler | -- | -- | -- | rubberneck row 7 : 1996 | backslider | -- | -- | -- | rubberneck row 8 : 2001 | push the hand | -- | 34 | -- | hell below/stars above row 9 : 2008 | no deliverance | -- | 38 | -- | no deliverance row 10 : 2009 | song i hate | -- | -- | -- | no deliverance row 11 : 2012 | summer of the strange | -- | -- | -- | play.rock.music
table_csv/203_751.csv
0
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are all the albums?" ]
1
velvet, rubberneck, rubberneck, rubberneck, rubberneck, rubberneck, hell below/stars above, no deliverance, no deliverance, play.rock.music
[ "Year", "Title", "Peak chart positions US Air", "Peak chart positions US Main", "Peak chart positions US Mod", "Album" ]
what are all the albums?
[ [ "1990", "Dig a Hole", "--", "--", "--", "Non-album single" ], [ "1993", "Mister Love", "--", "--", "--", "Velvet" ], [ "1994", "Mister Love", "--", "--", "--", "Rubberneck" ], [ "1995", "Possum Kingdom", "40", "9", "4", "Rubberneck" ], [ "1995", "Away", "--", "23", "28", "Rubberneck" ], [ "1996", "Tyler", "--", "--", "--", "Rubberneck" ], [ "1996", "Backslider", "--", "--", "--", "Rubberneck" ], [ "2001", "Push the Hand", "--", "34", "--", "Hell Below/Stars Above" ], [ "2008", "No Deliverance", "--", "38", "--", "No Deliverance" ], [ "2009", "Song I Hate", "--", "--", "--", "No Deliverance" ], [ "2012", "Summer of the Strange", "--", "--", "--", "Play.Rock.Music" ] ]
[ "Velvet", "Rubberneck", "Rubberneck", "Rubberneck", "Rubberneck", "Rubberneck", "Hell Below/Stars Above", "No Deliverance", "No Deliverance", "Play.Rock.Music" ]
what are all the albums? ||