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nt-2136
col : airline | destination(s) | aircraft scheduled | service date(s) | comments row 1 : airtran airways | atlanta, dayton, orlando | boeing 737-200, dc-9-30, boeing 717-200 | 11/14/1996-2/28/1998, 10/3/2000 | nan row 2 : air wisconsin | akron-canton, chicago o'hare, cleveland | bae 146, bae atp, dash 8-300 | ?-02/03/1993 | original and operating as united express. row 3 : allegiant air* | las vegas | md-80 | 12/15/2005-4/24/2006 | nan row 4 : america west express | columbus, flint | beech 1900 | nan | operated by mesa dba superior airlines row 5 : american eagle airlines* | dallas/fort worth | erj-145 | nan | operated by simmons airlines (now american eagle airlines) and chautau row 6 : atlantic coast airlines | cincinnati | dornier 328jet | nan | dba delta connection row 7 : atlantic southeast airlines | atlanta, cincinnati | atr 72, crj-200, crj-700 | nan | dba delta connection row 8 : beaver aviation / bas airlines | beaver falls (pa), detroit city, youngstown | piper navajo | early 1980s | nan row 9 : chicago express airlines | chicago midway, south bend | jetstream 31, saab 340 | 1993-1995, 6/28/2002-1/4/2005 | original and returned as ata connection row 10 : chicago and southern airlines | deroit, fort wayne | nan | nan | merged with delta row 11 : comair | atlanta, cincinnati, columbus, indianapolis | piper chieftain, piper navajo, e | 1979, 01/03/1981-? | original and as delta connection row 12 : continental express | cleveland | emb-120, beech 1900, dash-8-200 | nan | nan row 13 : delta air lines | atlanta, cincinnati, dayton, detroit, fort wayne | convair 440, boeing 727-200, boeing 737 | nan | nan row 14 : eastern airlines | columbus | constellation l-1049g, locheed electra, | nan | nan row 15 : frontier airlines mk 1 | denver, detroit | boeing 737-200, md-80 | nan | nan row 16 : liberty airlines | chicago midway & o'hare | convair 440 | 02/1982-5/16/1983 | plans for cmh, cle, stl, buf, row 17 : midway connection | chicago midway | emb-120, dornier 228 | nan | nan row 18 : mesaba aviation | detroit, youngstown | dash 8-200, fokker 27, metro iii, saa | nan | original and dba northwest airlink row 19 : piedmont airlines | dayton | boeing 727-200, boeing 737-200 | nan | merged with usair row 20 : transmeridian airlines | las vegas, sanford/orlando | boeing 757-200, boeing 727-200, md-80 | nan | filed for bankruptcy row 21 : trans midwest airlines | columbus, dayton, detroit metro, lima | piper navajo | 1983-1985 | nan row 22 : trans world airlines | st. louis | boeing 727-100, dc-9, martin 404 | nan | nan row 23 : united airlines | chicago o'hare, cleveland, denver, fort wayne, peori | dc-8 series 21, boeing 727-122, 727-222, | nan | nan row 24 : us airways (usair/allegheny) | pittsburgh | convair 580, boeing 727-200, md-80 | nan | nan row 25 : us airways express | dayton, indianapolis, pittsburgh | metro iii, jetstream 31, saab 340, dash 8 | nan | operated by trans states airlines, jetstream int'l /
table_csv/204_215.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 3, 5, 6, 13, 15, 18, 20, 23, 25, 27 ] }
[ "of the listed airlines which ones list only single destinations from the toledo express airport?" ]
2
allegiant air*, american eagle airlines*, atlantic coast airlines, continental express, eastern airlines, midway connection, piedmont airlines, trans world airlines, us airways (usair/allegheny), vision airlines
[ "Airline", "Destination(s)", "Aircraft Scheduled", "Service Date(s)", "Comments" ]
of the listed airlines which ones list only single destinations from the toledo express airport?
[ [ "AirTran Airways", "Atlanta, Dayton, Orlando", "Boeing 737-200, DC-9-30, Boeing 717-200", "11/14/1996-2/28/1998, 10/3/2000", "nan" ], [ "Air Wisconsin", "Akron-Canton, Chicago O'Hare, Cleveland", "BAe 146, BAe ATP, Dash 8-300", "?-02/03/1993", "Original and operating as United Express." ], [ "Allegiant Air*", "Las Vegas", "MD-80", "12/15/2005-4/24/2006", "nan" ], [ "America West Express", "Columbus, Flint", "Beech 1900", "nan", "Operated by Mesa dba Superior Airlines" ], [ "American Eagle Airlines*", "Dallas/Fort Worth", "ERJ-145", "nan", "Operated by Simmons Airlines (now American Eagle Airlines) and Chautau" ], [ "Atlantic Coast Airlines", "Cincinnati", "Dornier 328JET", "nan", "dba Delta Connection" ], [ "Atlantic Southeast Airlines", "Atlanta, Cincinnati", "ATR 72, CRJ-200, CRJ-700", "nan", "dba Delta Connection" ], [ "Beaver Aviation / BAS Airlines", "Beaver Falls (PA), Detroit City, Youngstown", "Piper Navajo", "Early 1980s", "nan" ], [ "Chicago Express Airlines", "Chicago Midway, South Bend", "Jetstream 31, Saab 340", "1993-1995, 6/28/2002-1/4/2005", "Original and returned as ATA Connection" ], [ "Chicago and Southern Airlines", "Deroit, Fort Wayne", "nan", "nan", "Merged with Delta" ], [ "Comair", "Atlanta, Cincinnati, Columbus, Indianapolis", "Piper Chieftain, Piper Navajo, E", "1979, 01/03/1981-?", "Original and as Delta Connection" ], [ "Continental Express", "Cleveland", "EMB-120, Beech 1900, Dash-8-200", "nan", "nan" ], [ "Delta Air Lines", "Atlanta, Cincinnati, Dayton, Detroit, Fort Wayne", "Convair 440, Boeing 727-200, Boeing 737", "nan", "nan" ], [ "Eastern Airlines", "Columbus", "Constellation L-1049G, Locheed Electra,", "nan", "nan" ], [ "Frontier Airlines mk 1", "Denver, Detroit", "Boeing 737-200, MD-80", "nan", "nan" ], [ "Liberty Airlines", "Chicago Midway & O'Hare", "Convair 440", "02/1982-5/16/1983", "Plans for CMH, CLE, STL, BUF," ], [ "Midway Connection", "Chicago Midway", "EMB-120, Dornier 228", "nan", "nan" ], [ "Mesaba Aviation", "Detroit, Youngstown", "Dash 8-200, Fokker 27, Metro III, Saa", "nan", "Original and dba Northwest Airlink" ], [ "Piedmont Airlines", "Dayton", "Boeing 727-200, Boeing 737-200", "nan", "Merged with USAir" ], [ "TransMeridian Airlines", "Las Vegas, Sanford/Orlando", "Boeing 757-200, Boeing 727-200, MD-80", "nan", "Filed for Bankruptcy" ], [ "Trans Midwest Airlines", "Columbus, Dayton, Detroit Metro, Lima", "Piper Navajo", "1983-1985", "nan" ], [ "Trans World Airlines", "St. Louis", "Boeing 727-100, DC-9, Martin 404", "nan", "nan" ], [ "United Airlines", "Chicago O'Hare, Cleveland, Denver, Fort Wayne, Peori", "DC-8 series 21, Boeing 727-122, 727-222,", "nan", "nan" ], [ "US Airways (USAir/Allegheny)", "Pittsburgh", "Convair 580, Boeing 727-200, MD-80", "nan", "nan" ], [ "US Airways Express", "Dayton, Indianapolis, Pittsburgh", "Metro III, Jetstream 31, Saab 340, Dash 8", "nan", "Operated by Trans States Airlines, Jetstream Int'l /" ] ]
[ "Allegiant Air*", "American Eagle Airlines*", "Atlantic Coast Airlines", "Continental Express", "Eastern Airlines", "Midway Connection", "Piedmont Airlines", "Trans World Airlines", "US Airways (USAir/Allegheny)", "Vision Airlines" ]
of the listed airlines which ones list only single destinations from the toledo express airport? ||
nt-2136
col : airline | destination(s) | aircraft scheduled | service date(s) | comments row 1 : air florida | new york jfk, tampa, washington national | boeing 737-200, dc-9-10 | jfk: 6/14/79-9/5/79, dc | nan row 2 : airtran airways | atlanta, dayton, orlando | boeing 737-200, dc-9-30, boeing 717-200 | 11/14/1996-2/28/1998, 10/3/2000 | nan row 3 : air wisconsin | akron-canton, chicago o'hare, cleveland | bae 146, bae atp, dash 8-300 | ?-02/03/1993 | original and operating as united express. row 4 : allegiant air* | las vegas | md-80 | 12/15/2005-4/24/2006 | nan row 5 : america west express | columbus, flint | beech 1900 | nan | operated by mesa dba superior airlines row 6 : american eagle airlines* | dallas/fort worth | erj-145 | nan | operated by simmons airlines (now american eagle airlines) and chautau row 7 : atlantic coast airlines | cincinnati | dornier 328jet | nan | dba delta connection row 8 : atlantic southeast airlines | atlanta, cincinnati | atr 72, crj-200, crj-700 | nan | dba delta connection row 9 : beaver aviation / bas airlines | beaver falls (pa), detroit city, youngstown | piper navajo | early 1980s | nan row 10 : capital airlines | akron, chicago, cleveland, detroit, flint, grand rapids | viscount, dc-3, dc-4 | 1/8/1948-05-31-1961 | * merged with united. * at the time, 14 flights at startup row 11 : chicago express airlines | chicago midway, south bend | jetstream 31, saab 340 | 1993-1995, 6/28/2002-1/4/2005 | original and returned as ata connection row 12 : chicago and southern airlines | deroit, fort wayne | nan | nan | merged with delta row 13 : continental express | cleveland | emb-120, beech 1900, dash-8-200 | nan | nan row 14 : delta air lines | atlanta, cincinnati, dayton, detroit, fort wayne | convair 440, boeing 727-200, boeing 737 | nan | nan row 15 : eastern airlines | columbus | constellation l-1049g, locheed electra, | nan | nan row 16 : liberty airlines | chicago midway & o'hare | convair 440 | 02/1982-5/16/1983 | plans for cmh, cle, stl, buf, row 17 : midway connection | chicago midway | emb-120, dornier 228 | nan | nan row 18 : mesaba aviation | detroit, youngstown | dash 8-200, fokker 27, metro iii, saa | nan | original and dba northwest airlink row 19 : piedmont airlines | dayton | boeing 727-200, boeing 737-200 | nan | merged with usair row 20 : transmeridian airlines | las vegas, sanford/orlando | boeing 757-200, boeing 727-200, md-80 | nan | filed for bankruptcy row 21 : trans midwest airlines | columbus, dayton, detroit metro, lima | piper navajo | 1983-1985 | nan row 22 : trans world airlines | st. louis | boeing 727-100, dc-9, martin 404 | nan | nan row 23 : us airways (usair/allegheny) | pittsburgh | convair 580, boeing 727-200, md-80 | nan | nan row 24 : us airways express | dayton, indianapolis, pittsburgh | metro iii, jetstream 31, saab 340, dash 8 | nan | operated by trans states airlines, jetstream int'l /
table_csv/204_215.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 5, 27 ] }
[ "of the listed airlines which ones list only single destinations from the toledo express airport?", "of the airlines that list only single destination from the toledo express airport which ones serve southern states?" ]
2
american eagle airlines*, vision airlines
[ "Airline", "Destination(s)", "Aircraft Scheduled", "Service Date(s)", "Comments" ]
of the airlines that list only single destination from the toledo express airport which ones serve southern states?
[ [ "Air Florida", "New York JFK, Tampa, Washington National", "Boeing 737-200, DC-9-10", "JFK: 6/14/79-9/5/79, DC", "nan" ], [ "AirTran Airways", "Atlanta, Dayton, Orlando", "Boeing 737-200, DC-9-30, Boeing 717-200", "11/14/1996-2/28/1998, 10/3/2000", "nan" ], [ "Air Wisconsin", "Akron-Canton, Chicago O'Hare, Cleveland", "BAe 146, BAe ATP, Dash 8-300", "?-02/03/1993", "Original and operating as United Express." ], [ "Allegiant Air*", "Las Vegas", "MD-80", "12/15/2005-4/24/2006", "nan" ], [ "America West Express", "Columbus, Flint", "Beech 1900", "nan", "Operated by Mesa dba Superior Airlines" ], [ "American Eagle Airlines*", "Dallas/Fort Worth", "ERJ-145", "nan", "Operated by Simmons Airlines (now American Eagle Airlines) and Chautau" ], [ "Atlantic Coast Airlines", "Cincinnati", "Dornier 328JET", "nan", "dba Delta Connection" ], [ "Atlantic Southeast Airlines", "Atlanta, Cincinnati", "ATR 72, CRJ-200, CRJ-700", "nan", "dba Delta Connection" ], [ "Beaver Aviation / BAS Airlines", "Beaver Falls (PA), Detroit City, Youngstown", "Piper Navajo", "Early 1980s", "nan" ], [ "Capital Airlines", "Akron, Chicago, Cleveland, Detroit, Flint, Grand Rapids", "Viscount, DC-3, DC-4", "1/8/1948-05-31-1961", "* Merged with United. * At the time, 14 flights at startup" ], [ "Chicago Express Airlines", "Chicago Midway, South Bend", "Jetstream 31, Saab 340", "1993-1995, 6/28/2002-1/4/2005", "Original and returned as ATA Connection" ], [ "Chicago and Southern Airlines", "Deroit, Fort Wayne", "nan", "nan", "Merged with Delta" ], [ "Continental Express", "Cleveland", "EMB-120, Beech 1900, Dash-8-200", "nan", "nan" ], [ "Delta Air Lines", "Atlanta, Cincinnati, Dayton, Detroit, Fort Wayne", "Convair 440, Boeing 727-200, Boeing 737", "nan", "nan" ], [ "Eastern Airlines", "Columbus", "Constellation L-1049G, Locheed Electra,", "nan", "nan" ], [ "Liberty Airlines", "Chicago Midway & O'Hare", "Convair 440", "02/1982-5/16/1983", "Plans for CMH, CLE, STL, BUF," ], [ "Midway Connection", "Chicago Midway", "EMB-120, Dornier 228", "nan", "nan" ], [ "Mesaba Aviation", "Detroit, Youngstown", "Dash 8-200, Fokker 27, Metro III, Saa", "nan", "Original and dba Northwest Airlink" ], [ "Piedmont Airlines", "Dayton", "Boeing 727-200, Boeing 737-200", "nan", "Merged with USAir" ], [ "TransMeridian Airlines", "Las Vegas, Sanford/Orlando", "Boeing 757-200, Boeing 727-200, MD-80", "nan", "Filed for Bankruptcy" ], [ "Trans Midwest Airlines", "Columbus, Dayton, Detroit Metro, Lima", "Piper Navajo", "1983-1985", "nan" ], [ "Trans World Airlines", "St. Louis", "Boeing 727-100, DC-9, Martin 404", "nan", "nan" ], [ "US Airways (USAir/Allegheny)", "Pittsburgh", "Convair 580, Boeing 727-200, MD-80", "nan", "nan" ], [ "US Airways Express", "Dayton, Indianapolis, Pittsburgh", "Metro III, Jetstream 31, Saab 340, Dash 8", "nan", "Operated by Trans States Airlines, Jetstream Int'l /" ] ]
[ "American Eagle Airlines*", "Vision Airlines" ]
of the airlines that list only single destination from the toledo express airport which ones serve southern states? || of the listed airlines which ones list only single destinations from the toledo express airport?
nt-2136
col : airline | destination(s) | aircraft scheduled | service date(s) | comments row 1 : air florida | new york jfk, tampa, washington national | boeing 737-200, dc-9-10 | jfk: 6/14/79-9/5/79, dc | nan row 2 : airtran airways | atlanta, dayton, orlando | boeing 737-200, dc-9-30, boeing 717-200 | 11/14/1996-2/28/1998, 10/3/2000 | nan row 3 : air wisconsin | akron-canton, chicago o'hare, cleveland | bae 146, bae atp, dash 8-300 | ?-02/03/1993 | original and operating as united express. row 4 : allegiant air* | las vegas | md-80 | 12/15/2005-4/24/2006 | nan row 5 : america west express | columbus, flint | beech 1900 | nan | operated by mesa dba superior airlines row 6 : american eagle airlines* | dallas/fort worth | erj-145 | nan | operated by simmons airlines (now american eagle airlines) and chautau row 7 : atlantic coast airlines | cincinnati | dornier 328jet | nan | dba delta connection row 8 : atlantic southeast airlines | atlanta, cincinnati | atr 72, crj-200, crj-700 | nan | dba delta connection row 9 : beaver aviation / bas airlines | beaver falls (pa), detroit city, youngstown | piper navajo | early 1980s | nan row 10 : capital airlines | akron, chicago, cleveland, detroit, flint, grand rapids | viscount, dc-3, dc-4 | 1/8/1948-05-31-1961 | * merged with united. * at the time, 14 flights at startup row 11 : chicago express airlines | chicago midway, south bend | jetstream 31, saab 340 | 1993-1995, 6/28/2002-1/4/2005 | original and returned as ata connection row 12 : chicago and southern airlines | deroit, fort wayne | nan | nan | merged with delta row 13 : comair | atlanta, cincinnati, columbus, indianapolis | piper chieftain, piper navajo, e | 1979, 01/03/1981-? | original and as delta connection row 14 : delta air lines | atlanta, cincinnati, dayton, detroit, fort wayne | convair 440, boeing 727-200, boeing 737 | nan | nan row 15 : frontier airlines mk 1 | denver, detroit | boeing 737-200, md-80 | nan | nan row 16 : midway connection | chicago midway | emb-120, dornier 228 | nan | nan row 17 : mesaba aviation | detroit, youngstown | dash 8-200, fokker 27, metro iii, saa | nan | original and dba northwest airlink row 18 : piedmont airlines | dayton | boeing 727-200, boeing 737-200 | nan | merged with usair row 19 : transmeridian airlines | las vegas, sanford/orlando | boeing 757-200, boeing 727-200, md-80 | nan | filed for bankruptcy row 20 : trans midwest airlines | columbus, dayton, detroit metro, lima | piper navajo | 1983-1985 | nan row 21 : trans world airlines | st. louis | boeing 727-100, dc-9, martin 404 | nan | nan row 22 : united airlines | chicago o'hare, cleveland, denver, fort wayne, peori | dc-8 series 21, boeing 727-122, 727-222, | nan | nan row 23 : us airways express | dayton, indianapolis, pittsburgh | metro iii, jetstream 31, saab 340, dash 8 | nan | operated by trans states airlines, jetstream int'l /
table_csv/204_215.csv
2
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "of the listed airlines which ones list only single destinations from the toledo express airport?", "of the airlines that list only single destination from the toledo express airport which ones serve southern states?", "departing on a single destination airline from the toledo express airport to a southern state and not landing in a coastal area will take you where?" ]
2
dallas/fort worth
[ "Airline", "Destination(s)", "Aircraft Scheduled", "Service Date(s)", "Comments" ]
departing on a single destination airline from the toledo express airport to a southern state and not landing in a coastal area will take you where?
[ [ "Air Florida", "New York JFK, Tampa, Washington National", "Boeing 737-200, DC-9-10", "JFK: 6/14/79-9/5/79, DC", "nan" ], [ "AirTran Airways", "Atlanta, Dayton, Orlando", "Boeing 737-200, DC-9-30, Boeing 717-200", "11/14/1996-2/28/1998, 10/3/2000", "nan" ], [ "Air Wisconsin", "Akron-Canton, Chicago O'Hare, Cleveland", "BAe 146, BAe ATP, Dash 8-300", "?-02/03/1993", "Original and operating as United Express." ], [ "Allegiant Air*", "Las Vegas", "MD-80", "12/15/2005-4/24/2006", "nan" ], [ "America West Express", "Columbus, Flint", "Beech 1900", "nan", "Operated by Mesa dba Superior Airlines" ], [ "American Eagle Airlines*", "Dallas/Fort Worth", "ERJ-145", "nan", "Operated by Simmons Airlines (now American Eagle Airlines) and Chautau" ], [ "Atlantic Coast Airlines", "Cincinnati", "Dornier 328JET", "nan", "dba Delta Connection" ], [ "Atlantic Southeast Airlines", "Atlanta, Cincinnati", "ATR 72, CRJ-200, CRJ-700", "nan", "dba Delta Connection" ], [ "Beaver Aviation / BAS Airlines", "Beaver Falls (PA), Detroit City, Youngstown", "Piper Navajo", "Early 1980s", "nan" ], [ "Capital Airlines", "Akron, Chicago, Cleveland, Detroit, Flint, Grand Rapids", "Viscount, DC-3, DC-4", "1/8/1948-05-31-1961", "* Merged with United. * At the time, 14 flights at startup" ], [ "Chicago Express Airlines", "Chicago Midway, South Bend", "Jetstream 31, Saab 340", "1993-1995, 6/28/2002-1/4/2005", "Original and returned as ATA Connection" ], [ "Chicago and Southern Airlines", "Deroit, Fort Wayne", "nan", "nan", "Merged with Delta" ], [ "Comair", "Atlanta, Cincinnati, Columbus, Indianapolis", "Piper Chieftain, Piper Navajo, E", "1979, 01/03/1981-?", "Original and as Delta Connection" ], [ "Delta Air Lines", "Atlanta, Cincinnati, Dayton, Detroit, Fort Wayne", "Convair 440, Boeing 727-200, Boeing 737", "nan", "nan" ], [ "Frontier Airlines mk 1", "Denver, Detroit", "Boeing 737-200, MD-80", "nan", "nan" ], [ "Midway Connection", "Chicago Midway", "EMB-120, Dornier 228", "nan", "nan" ], [ "Mesaba Aviation", "Detroit, Youngstown", "Dash 8-200, Fokker 27, Metro III, Saa", "nan", "Original and dba Northwest Airlink" ], [ "Piedmont Airlines", "Dayton", "Boeing 727-200, Boeing 737-200", "nan", "Merged with USAir" ], [ "TransMeridian Airlines", "Las Vegas, Sanford/Orlando", "Boeing 757-200, Boeing 727-200, MD-80", "nan", "Filed for Bankruptcy" ], [ "Trans Midwest Airlines", "Columbus, Dayton, Detroit Metro, Lima", "Piper Navajo", "1983-1985", "nan" ], [ "Trans World Airlines", "St. Louis", "Boeing 727-100, DC-9, Martin 404", "nan", "nan" ], [ "United Airlines", "Chicago O'Hare, Cleveland, Denver, Fort Wayne, Peori", "DC-8 series 21, Boeing 727-122, 727-222,", "nan", "nan" ], [ "US Airways Express", "Dayton, Indianapolis, Pittsburgh", "Metro III, Jetstream 31, Saab 340, Dash 8", "nan", "Operated by Trans States Airlines, Jetstream Int'l /" ] ]
[ "Dallas/Fort Worth" ]
departing on a single destination airline from the toledo express airport to a southern state and not landing in a coastal area will take you where? || of the airlines that list only single destination from the toledo express airport which ones serve southern states? | of the listed airlines which ones list only single destinations from the toledo express airport?
nt-6384
col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463
table_csv/203_303.csv
0
{ "column_index": [ 5, 5, 5 ], "row_index": [ 1, 3, 5 ] }
[ "what are the three lowest totals for the amount of sentences produced?" ]
0
1?, 3, 0
[ "Tribunal", "Number of autos da fe", "Executions in persona", "Executions in effigie", "Penanced", "Total" ]
what are the three lowest totals for the amount of sentences produced?
[ [ "Barcelona", "8", "1", "1", "15", "17" ], [ "Logrono", "1", "1", "0", "0?", "1?" ], [ "Palma de Mallorca", "3", "0", "0", "11", "11" ], [ "Saragossa", "1", "0", "0", "3", "3" ], [ "Valencia", "4", "2", "0", "49", "51" ], [ "Las Palmas", "0", "0", "0", "0", "0" ], [ "Cordoba", "13", "17", "19", "125", "161" ], [ "Cuenca", "7", "7", "10", "35", "52" ], [ "Santiago de Compostela", "4", "0", "0", "13", "13" ], [ "Granada", "15", "36", "47", "369", "452" ], [ "Llerena", "5", "1", "0", "45", "46" ], [ "Madrid", "4", "11", "13", "46", "70" ], [ "Murcia", "6", "4", "1", "106", "111" ], [ "Seville", "15", "16", "10", "220", "246" ], [ "Toledo", "33", "6", "14", "128", "148" ], [ "Valladolid", "10", "9", "2", "70", "81" ], [ "Total", "125", "111", "117", "1235", "1463" ] ]
[ "1?", "3", "0" ]
what are the three lowest totals for the amount of sentences produced? ||
nt-6384
col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463
table_csv/203_303.csv
1
{ "column_index": [ 0 ], "row_index": [ 5 ] }
[ "what are the three lowest totals for the amount of sentences produced?", "which tribunal produced the lowest?" ]
0
las palmas
[ "Tribunal", "Number of autos da fe", "Executions in persona", "Executions in effigie", "Penanced", "Total" ]
which tribunal produced the lowest?
[ [ "Barcelona", "8", "1", "1", "15", "17" ], [ "Logrono", "1", "1", "0", "0?", "1?" ], [ "Palma de Mallorca", "3", "0", "0", "11", "11" ], [ "Saragossa", "1", "0", "0", "3", "3" ], [ "Valencia", "4", "2", "0", "49", "51" ], [ "Las Palmas", "0", "0", "0", "0", "0" ], [ "Cordoba", "13", "17", "19", "125", "161" ], [ "Cuenca", "7", "7", "10", "35", "52" ], [ "Santiago de Compostela", "4", "0", "0", "13", "13" ], [ "Granada", "15", "36", "47", "369", "452" ], [ "Llerena", "5", "1", "0", "45", "46" ], [ "Madrid", "4", "11", "13", "46", "70" ], [ "Murcia", "6", "4", "1", "106", "111" ], [ "Seville", "15", "16", "10", "220", "246" ], [ "Toledo", "33", "6", "14", "128", "148" ], [ "Valladolid", "10", "9", "2", "70", "81" ], [ "Total", "125", "111", "117", "1235", "1463" ] ]
[ "Las Palmas" ]
which tribunal produced the lowest? || what are the three lowest totals for the amount of sentences produced?
nt-6384
col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463
table_csv/203_303.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 ] }
[ "what are the tribunals that existed in the spanish inquisition between 1701 and 1746?" ]
1
barcelona, logrono, palma de mallorca, saragossa, valencia, las palmas, cordoba, cuenca, santiago de compostela, granada, llerena, madrid, murcia, seville, toledo, valladolid
[ "Tribunal", "Number of autos da fe", "Executions in persona", "Executions in effigie", "Penanced", "Total" ]
what are the tribunals that existed in the spanish inquisition between 1701 and 1746?
[ [ "Barcelona", "8", "1", "1", "15", "17" ], [ "Logrono", "1", "1", "0", "0?", "1?" ], [ "Palma de Mallorca", "3", "0", "0", "11", "11" ], [ "Saragossa", "1", "0", "0", "3", "3" ], [ "Valencia", "4", "2", "0", "49", "51" ], [ "Las Palmas", "0", "0", "0", "0", "0" ], [ "Cordoba", "13", "17", "19", "125", "161" ], [ "Cuenca", "7", "7", "10", "35", "52" ], [ "Santiago de Compostela", "4", "0", "0", "13", "13" ], [ "Granada", "15", "36", "47", "369", "452" ], [ "Llerena", "5", "1", "0", "45", "46" ], [ "Madrid", "4", "11", "13", "46", "70" ], [ "Murcia", "6", "4", "1", "106", "111" ], [ "Seville", "15", "16", "10", "220", "246" ], [ "Toledo", "33", "6", "14", "128", "148" ], [ "Valladolid", "10", "9", "2", "70", "81" ], [ "Total", "125", "111", "117", "1235", "1463" ] ]
[ "Barcelona", "Logrono", "Palma de Mallorca", "Saragossa", "Valencia", "Las Palmas", "Cordoba", "Cuenca", "Santiago de Compostela", "Granada", "Llerena", "Madrid", "Murcia", "Seville", "Toledo", "Valladolid" ]
what are the tribunals that existed in the spanish inquisition between 1701 and 1746? ||
nt-6384
col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463
table_csv/203_303.csv
1
{ "column_index": [ 0 ], "row_index": [ 5 ] }
[ "what are the tribunals that existed in the spanish inquisition between 1701 and 1746?", "of those tribunals, which pronounced the least number of sentences?" ]
1
las palmas
[ "Tribunal", "Number of autos da fe", "Executions in persona", "Executions in effigie", "Penanced", "Total" ]
of those tribunals, which pronounced the least number of sentences?
[ [ "Barcelona", "8", "1", "1", "15", "17" ], [ "Logrono", "1", "1", "0", "0?", "1?" ], [ "Palma de Mallorca", "3", "0", "0", "11", "11" ], [ "Saragossa", "1", "0", "0", "3", "3" ], [ "Valencia", "4", "2", "0", "49", "51" ], [ "Las Palmas", "0", "0", "0", "0", "0" ], [ "Cordoba", "13", "17", "19", "125", "161" ], [ "Cuenca", "7", "7", "10", "35", "52" ], [ "Santiago de Compostela", "4", "0", "0", "13", "13" ], [ "Granada", "15", "36", "47", "369", "452" ], [ "Llerena", "5", "1", "0", "45", "46" ], [ "Madrid", "4", "11", "13", "46", "70" ], [ "Murcia", "6", "4", "1", "106", "111" ], [ "Seville", "15", "16", "10", "220", "246" ], [ "Toledo", "33", "6", "14", "128", "148" ], [ "Valladolid", "10", "9", "2", "70", "81" ], [ "Total", "125", "111", "117", "1235", "1463" ] ]
[ "Las Palmas" ]
of those tribunals, which pronounced the least number of sentences? || what are the tribunals that existed in the spanish inquisition between 1701 and 1746?
nt-6384
col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463
table_csv/203_303.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 1, 2, 3, 4, 5, 8, 10, 11 ] }
[ "which tribunals had 5 or fewer autos da fe during the period?" ]
2
logrono, palma de mallorca, saragossa, valencia, las palmas, santiago de compostela, llerena, madrid
[ "Tribunal", "Number of autos da fe", "Executions in persona", "Executions in effigie", "Penanced", "Total" ]
which tribunals had 5 or fewer autos da fe during the period?
[ [ "Barcelona", "8", "1", "1", "15", "17" ], [ "Logrono", "1", "1", "0", "0?", "1?" ], [ "Palma de Mallorca", "3", "0", "0", "11", "11" ], [ "Saragossa", "1", "0", "0", "3", "3" ], [ "Valencia", "4", "2", "0", "49", "51" ], [ "Las Palmas", "0", "0", "0", "0", "0" ], [ "Cordoba", "13", "17", "19", "125", "161" ], [ "Cuenca", "7", "7", "10", "35", "52" ], [ "Santiago de Compostela", "4", "0", "0", "13", "13" ], [ "Granada", "15", "36", "47", "369", "452" ], [ "Llerena", "5", "1", "0", "45", "46" ], [ "Madrid", "4", "11", "13", "46", "70" ], [ "Murcia", "6", "4", "1", "106", "111" ], [ "Seville", "15", "16", "10", "220", "246" ], [ "Toledo", "33", "6", "14", "128", "148" ], [ "Valladolid", "10", "9", "2", "70", "81" ], [ "Total", "125", "111", "117", "1235", "1463" ] ]
[ "Logrono", "Palma de Mallorca", "Saragossa", "Valencia", "Las Palmas", "Santiago de Compostela", "Llerena", "Madrid" ]
which tribunals had 5 or fewer autos da fe during the period? ||
nt-6384
col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463
table_csv/203_303.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 1, 2, 3, 4, 5, 8, 10 ] }
[ "which tribunals had 5 or fewer autos da fe during the period?", "of these tribunals, which had 5 or fewer executions in persona?" ]
2
logrono, palma de mallorca, saragossa, valencia, las palmas, santiago de compostela, llerena
[ "Tribunal", "Number of autos da fe", "Executions in persona", "Executions in effigie", "Penanced", "Total" ]
of these tribunals, which had 5 or fewer executions in persona?
[ [ "Barcelona", "8", "1", "1", "15", "17" ], [ "Logrono", "1", "1", "0", "0?", "1?" ], [ "Palma de Mallorca", "3", "0", "0", "11", "11" ], [ "Saragossa", "1", "0", "0", "3", "3" ], [ "Valencia", "4", "2", "0", "49", "51" ], [ "Las Palmas", "0", "0", "0", "0", "0" ], [ "Cordoba", "13", "17", "19", "125", "161" ], [ "Cuenca", "7", "7", "10", "35", "52" ], [ "Santiago de Compostela", "4", "0", "0", "13", "13" ], [ "Granada", "15", "36", "47", "369", "452" ], [ "Llerena", "5", "1", "0", "45", "46" ], [ "Madrid", "4", "11", "13", "46", "70" ], [ "Murcia", "6", "4", "1", "106", "111" ], [ "Seville", "15", "16", "10", "220", "246" ], [ "Toledo", "33", "6", "14", "128", "148" ], [ "Valladolid", "10", "9", "2", "70", "81" ], [ "Total", "125", "111", "117", "1235", "1463" ] ]
[ "Logrono", "Palma de Mallorca", "Saragossa", "Valencia", "Las Palmas", "Santiago de Compostela", "Llerena" ]
of these tribunals, which had 5 or fewer executions in persona? || which tribunals had 5 or fewer autos da fe during the period?
nt-6384
col : tribunal | number of autos da fe | executions in persona | executions in effigie | penanced | total row 1 : barcelona | 8 | 1 | 1 | 15 | 17 row 2 : logrono | 1 | 1 | 0 | 0? | 1? row 3 : palma de mallorca | 3 | 0 | 0 | 11 | 11 row 4 : saragossa | 1 | 0 | 0 | 3 | 3 row 5 : valencia | 4 | 2 | 0 | 49 | 51 row 6 : las palmas | 0 | 0 | 0 | 0 | 0 row 7 : cordoba | 13 | 17 | 19 | 125 | 161 row 8 : cuenca | 7 | 7 | 10 | 35 | 52 row 9 : santiago de compostela | 4 | 0 | 0 | 13 | 13 row 10 : granada | 15 | 36 | 47 | 369 | 452 row 11 : llerena | 5 | 1 | 0 | 45 | 46 row 12 : madrid | 4 | 11 | 13 | 46 | 70 row 13 : murcia | 6 | 4 | 1 | 106 | 111 row 14 : seville | 15 | 16 | 10 | 220 | 246 row 15 : toledo | 33 | 6 | 14 | 128 | 148 row 16 : valladolid | 10 | 9 | 2 | 70 | 81 row 17 : total | 125 | 111 | 117 | 1235 | 1463
table_csv/203_303.csv
2
{ "column_index": [ 0 ], "row_index": [ 5 ] }
[ "which tribunals had 5 or fewer autos da fe during the period?", "of these tribunals, which had 5 or fewer executions in persona?", "of the remaining, which had 0 penanced?" ]
2
las palmas
[ "Tribunal", "Number of autos da fe", "Executions in persona", "Executions in effigie", "Penanced", "Total" ]
of the remaining, which had 0 penanced?
[ [ "Barcelona", "8", "1", "1", "15", "17" ], [ "Logrono", "1", "1", "0", "0?", "1?" ], [ "Palma de Mallorca", "3", "0", "0", "11", "11" ], [ "Saragossa", "1", "0", "0", "3", "3" ], [ "Valencia", "4", "2", "0", "49", "51" ], [ "Las Palmas", "0", "0", "0", "0", "0" ], [ "Cordoba", "13", "17", "19", "125", "161" ], [ "Cuenca", "7", "7", "10", "35", "52" ], [ "Santiago de Compostela", "4", "0", "0", "13", "13" ], [ "Granada", "15", "36", "47", "369", "452" ], [ "Llerena", "5", "1", "0", "45", "46" ], [ "Madrid", "4", "11", "13", "46", "70" ], [ "Murcia", "6", "4", "1", "106", "111" ], [ "Seville", "15", "16", "10", "220", "246" ], [ "Toledo", "33", "6", "14", "128", "148" ], [ "Valladolid", "10", "9", "2", "70", "81" ], [ "Total", "125", "111", "117", "1235", "1463" ] ]
[ "Las Palmas" ]
of the remaining, which had 0 penanced? || of these tribunals, which had 5 or fewer executions in persona? | which tribunals had 5 or fewer autos da fe during the period?
ns-1522
col : club | founded | nickname | location | home ground | entered competition | most recent promotion row 1 : bundoora football club | 1974 | bulls | bundoora | yulong reserve | 1981 | 1982.0 row 2 : eltham football club | 1909 | panthers | eltham | central park | 1922 | 2003.0 row 3 : greensborough football club | 1905 | boro | greensborough | war memorial park | 1922 | 2007.0 row 4 : heidelberg football club | 1876 | tigers | heidelberg | warringal park | 1923 | 1983.0 row 5 : lalor football club | 1955 | bloods | lalor | lalor reserve | 1968 | 2011.0 row 6 : macleod football club | 1946 | kangaroos | rosanna | de winton park | 1947 | 2010.0 row 7 : montmorency football club | 1924 | magpies | montmorency | montmorency park, north oval | 1924 | nan row 8 : north heidelberg football club | 1958 | bulldogs | heidelberg heights | shelley street reserve | 1958 | nan row 9 : northcote park football club | 1952 | cougars | northcote | bill lawry oval | 1982 | 1995.0 row 10 : west preston lakeside football club | 1998 | roosters | reservoir | j e moore park | 1996 | 1997.0
table_csv/204_959.csv
0
{ "column_index": [ 0 ], "row_index": [ 9 ] }
[ "which northern football league is the youngest in terms of date founded?" ]
0
west preston lakeside football club
[ "Club", "Founded", "Nickname", "Location", "Home Ground", "Entered Competition", "Most recent Promotion" ]
which northern football league is the youngest in terms of date founded?
[ [ "Bundoora Football Club", "1974", "Bulls", "Bundoora", "Yulong Reserve", "1981", "1982.0" ], [ "Eltham Football Club", "1909", "Panthers", "Eltham", "Central Park", "1922", "2003.0" ], [ "Greensborough Football Club", "1905", "Boro", "Greensborough", "War Memorial Park", "1922", "2007.0" ], [ "Heidelberg Football Club", "1876", "Tigers", "Heidelberg", "Warringal Park", "1923", "1983.0" ], [ "Lalor Football Club", "1955", "Bloods", "Lalor", "Lalor Reserve", "1968", "2011.0" ], [ "Macleod Football Club", "1946", "Kangaroos", "Rosanna", "De Winton Park", "1947", "2010.0" ], [ "Montmorency Football Club", "1924", "Magpies", "Montmorency", "Montmorency Park, North Oval", "1924", "nan" ], [ "North Heidelberg Football Club", "1958", "Bulldogs", "Heidelberg Heights", "Shelley Street Reserve", "1958", "nan" ], [ "Northcote Park Football Club", "1952", "Cougars", "Northcote", "Bill Lawry Oval", "1982", "1995.0" ], [ "West Preston Lakeside Football Club", "1998", "Roosters", "Reservoir", "J E Moore Park", "1996", "1997.0" ] ]
[ "West Preston Lakeside Football Club" ]
which northern football league is the youngest in terms of date founded? ||
ns-1522
col : club | founded | nickname | location | home ground | entered competition | most recent promotion row 1 : bundoora football club | 1974 | bulls | bundoora | yulong reserve | 1981 | 1982.0 row 2 : eltham football club | 1909 | panthers | eltham | central park | 1922 | 2003.0 row 3 : greensborough football club | 1905 | boro | greensborough | war memorial park | 1922 | 2007.0 row 4 : heidelberg football club | 1876 | tigers | heidelberg | warringal park | 1923 | 1983.0 row 5 : lalor football club | 1955 | bloods | lalor | lalor reserve | 1968 | 2011.0 row 6 : macleod football club | 1946 | kangaroos | rosanna | de winton park | 1947 | 2010.0 row 7 : montmorency football club | 1924 | magpies | montmorency | montmorency park, north oval | 1924 | nan row 8 : north heidelberg football club | 1958 | bulldogs | heidelberg heights | shelley street reserve | 1958 | nan row 9 : northcote park football club | 1952 | cougars | northcote | bill lawry oval | 1982 | 1995.0 row 10 : west preston lakeside football club | 1998 | roosters | reservoir | j e moore park | 1996 | 1997.0
table_csv/204_959.csv
1
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "which northern football league is the youngest in terms of date founded?", "which northern football league was founded in the 1800's and is hence the oldest?" ]
0
heidelberg football club
[ "Club", "Founded", "Nickname", "Location", "Home Ground", "Entered Competition", "Most recent Promotion" ]
which northern football league was founded in the 1800's and is hence the oldest?
[ [ "Bundoora Football Club", "1974", "Bulls", "Bundoora", "Yulong Reserve", "1981", "1982.0" ], [ "Eltham Football Club", "1909", "Panthers", "Eltham", "Central Park", "1922", "2003.0" ], [ "Greensborough Football Club", "1905", "Boro", "Greensborough", "War Memorial Park", "1922", "2007.0" ], [ "Heidelberg Football Club", "1876", "Tigers", "Heidelberg", "Warringal Park", "1923", "1983.0" ], [ "Lalor Football Club", "1955", "Bloods", "Lalor", "Lalor Reserve", "1968", "2011.0" ], [ "Macleod Football Club", "1946", "Kangaroos", "Rosanna", "De Winton Park", "1947", "2010.0" ], [ "Montmorency Football Club", "1924", "Magpies", "Montmorency", "Montmorency Park, North Oval", "1924", "nan" ], [ "North Heidelberg Football Club", "1958", "Bulldogs", "Heidelberg Heights", "Shelley Street Reserve", "1958", "nan" ], [ "Northcote Park Football Club", "1952", "Cougars", "Northcote", "Bill Lawry Oval", "1982", "1995.0" ], [ "West Preston Lakeside Football Club", "1998", "Roosters", "Reservoir", "J E Moore Park", "1996", "1997.0" ] ]
[ "Heidelberg Football Club" ]
which northern football league was founded in the 1800's and is hence the oldest? || which northern football league is the youngest in terms of date founded?
ns-1522
col : club | founded | nickname | location | home ground | entered competition | most recent promotion row 1 : bundoora football club | 1974 | bulls | bundoora | yulong reserve | 1981 | 1982.0 row 2 : eltham football club | 1909 | panthers | eltham | central park | 1922 | 2003.0 row 3 : greensborough football club | 1905 | boro | greensborough | war memorial park | 1922 | 2007.0 row 4 : heidelberg football club | 1876 | tigers | heidelberg | warringal park | 1923 | 1983.0 row 5 : lalor football club | 1955 | bloods | lalor | lalor reserve | 1968 | 2011.0 row 6 : macleod football club | 1946 | kangaroos | rosanna | de winton park | 1947 | 2010.0 row 7 : montmorency football club | 1924 | magpies | montmorency | montmorency park, north oval | 1924 | nan row 8 : north heidelberg football club | 1958 | bulldogs | heidelberg heights | shelley street reserve | 1958 | nan row 9 : northcote park football club | 1952 | cougars | northcote | bill lawry oval | 1982 | 1995.0 row 10 : west preston lakeside football club | 1998 | roosters | reservoir | j e moore park | 1996 | 1997.0
table_csv/204_959.csv
0
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what club was founded in 1905?" ]
1
greensborough football club
[ "Club", "Founded", "Nickname", "Location", "Home Ground", "Entered Competition", "Most recent Promotion" ]
what club was founded in 1905?
[ [ "Bundoora Football Club", "1974", "Bulls", "Bundoora", "Yulong Reserve", "1981", "1982.0" ], [ "Eltham Football Club", "1909", "Panthers", "Eltham", "Central Park", "1922", "2003.0" ], [ "Greensborough Football Club", "1905", "Boro", "Greensborough", "War Memorial Park", "1922", "2007.0" ], [ "Heidelberg Football Club", "1876", "Tigers", "Heidelberg", "Warringal Park", "1923", "1983.0" ], [ "Lalor Football Club", "1955", "Bloods", "Lalor", "Lalor Reserve", "1968", "2011.0" ], [ "Macleod Football Club", "1946", "Kangaroos", "Rosanna", "De Winton Park", "1947", "2010.0" ], [ "Montmorency Football Club", "1924", "Magpies", "Montmorency", "Montmorency Park, North Oval", "1924", "nan" ], [ "North Heidelberg Football Club", "1958", "Bulldogs", "Heidelberg Heights", "Shelley Street Reserve", "1958", "nan" ], [ "Northcote Park Football Club", "1952", "Cougars", "Northcote", "Bill Lawry Oval", "1982", "1995.0" ], [ "West Preston Lakeside Football Club", "1998", "Roosters", "Reservoir", "J E Moore Park", "1996", "1997.0" ] ]
[ "Greensborough Football Club" ]
what club was founded in 1905? ||
ns-1522
col : club | founded | nickname | location | home ground | entered competition | most recent promotion row 1 : bundoora football club | 1974 | bulls | bundoora | yulong reserve | 1981 | 1982.0 row 2 : eltham football club | 1909 | panthers | eltham | central park | 1922 | 2003.0 row 3 : greensborough football club | 1905 | boro | greensborough | war memorial park | 1922 | 2007.0 row 4 : heidelberg football club | 1876 | tigers | heidelberg | warringal park | 1923 | 1983.0 row 5 : lalor football club | 1955 | bloods | lalor | lalor reserve | 1968 | 2011.0 row 6 : macleod football club | 1946 | kangaroos | rosanna | de winton park | 1947 | 2010.0 row 7 : montmorency football club | 1924 | magpies | montmorency | montmorency park, north oval | 1924 | nan row 8 : north heidelberg football club | 1958 | bulldogs | heidelberg heights | shelley street reserve | 1958 | nan row 9 : northcote park football club | 1952 | cougars | northcote | bill lawry oval | 1982 | 1995.0 row 10 : west preston lakeside football club | 1998 | roosters | reservoir | j e moore park | 1996 | 1997.0
table_csv/204_959.csv
1
{ "column_index": [ 1 ], "row_index": [ 3 ] }
[ "what club was founded in 1905?", "in what years were clubs founded before the greensborough football club?" ]
1
1876
[ "Club", "Founded", "Nickname", "Location", "Home Ground", "Entered Competition", "Most recent Promotion" ]
in what years were clubs founded before the greensborough football club?
[ [ "Bundoora Football Club", "1974", "Bulls", "Bundoora", "Yulong Reserve", "1981", "1982.0" ], [ "Eltham Football Club", "1909", "Panthers", "Eltham", "Central Park", "1922", "2003.0" ], [ "Greensborough Football Club", "1905", "Boro", "Greensborough", "War Memorial Park", "1922", "2007.0" ], [ "Heidelberg Football Club", "1876", "Tigers", "Heidelberg", "Warringal Park", "1923", "1983.0" ], [ "Lalor Football Club", "1955", "Bloods", "Lalor", "Lalor Reserve", "1968", "2011.0" ], [ "Macleod Football Club", "1946", "Kangaroos", "Rosanna", "De Winton Park", "1947", "2010.0" ], [ "Montmorency Football Club", "1924", "Magpies", "Montmorency", "Montmorency Park, North Oval", "1924", "nan" ], [ "North Heidelberg Football Club", "1958", "Bulldogs", "Heidelberg Heights", "Shelley Street Reserve", "1958", "nan" ], [ "Northcote Park Football Club", "1952", "Cougars", "Northcote", "Bill Lawry Oval", "1982", "1995.0" ], [ "West Preston Lakeside Football Club", "1998", "Roosters", "Reservoir", "J E Moore Park", "1996", "1997.0" ] ]
[ "1876" ]
in what years were clubs founded before the greensborough football club? || what club was founded in 1905?
ns-1522
col : club | founded | nickname | location | home ground | entered competition | most recent promotion row 1 : bundoora football club | 1974 | bulls | bundoora | yulong reserve | 1981 | 1982.0 row 2 : eltham football club | 1909 | panthers | eltham | central park | 1922 | 2003.0 row 3 : greensborough football club | 1905 | boro | greensborough | war memorial park | 1922 | 2007.0 row 4 : heidelberg football club | 1876 | tigers | heidelberg | warringal park | 1923 | 1983.0 row 5 : lalor football club | 1955 | bloods | lalor | lalor reserve | 1968 | 2011.0 row 6 : macleod football club | 1946 | kangaroos | rosanna | de winton park | 1947 | 2010.0 row 7 : montmorency football club | 1924 | magpies | montmorency | montmorency park, north oval | 1924 | nan row 8 : north heidelberg football club | 1958 | bulldogs | heidelberg heights | shelley street reserve | 1958 | nan row 9 : northcote park football club | 1952 | cougars | northcote | bill lawry oval | 1982 | 1995.0 row 10 : west preston lakeside football club | 1998 | roosters | reservoir | j e moore park | 1996 | 1997.0
table_csv/204_959.csv
2
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "what club was founded in 1905?", "in what years were clubs founded before the greensborough football club?", "which club was founded in 1876?" ]
1
heidelberg football club
[ "Club", "Founded", "Nickname", "Location", "Home Ground", "Entered Competition", "Most recent Promotion" ]
which club was founded in 1876?
[ [ "Bundoora Football Club", "1974", "Bulls", "Bundoora", "Yulong Reserve", "1981", "1982.0" ], [ "Eltham Football Club", "1909", "Panthers", "Eltham", "Central Park", "1922", "2003.0" ], [ "Greensborough Football Club", "1905", "Boro", "Greensborough", "War Memorial Park", "1922", "2007.0" ], [ "Heidelberg Football Club", "1876", "Tigers", "Heidelberg", "Warringal Park", "1923", "1983.0" ], [ "Lalor Football Club", "1955", "Bloods", "Lalor", "Lalor Reserve", "1968", "2011.0" ], [ "Macleod Football Club", "1946", "Kangaroos", "Rosanna", "De Winton Park", "1947", "2010.0" ], [ "Montmorency Football Club", "1924", "Magpies", "Montmorency", "Montmorency Park, North Oval", "1924", "nan" ], [ "North Heidelberg Football Club", "1958", "Bulldogs", "Heidelberg Heights", "Shelley Street Reserve", "1958", "nan" ], [ "Northcote Park Football Club", "1952", "Cougars", "Northcote", "Bill Lawry Oval", "1982", "1995.0" ], [ "West Preston Lakeside Football Club", "1998", "Roosters", "Reservoir", "J E Moore Park", "1996", "1997.0" ] ]
[ "Heidelberg Football Club" ]
which club was founded in 1876? || in what years were clubs founded before the greensborough football club? | what club was founded in 1905?
ns-1522
col : club | founded | nickname | location | home ground | entered competition | most recent promotion row 1 : bundoora football club | 1974 | bulls | bundoora | yulong reserve | 1981 | 1982.0 row 2 : eltham football club | 1909 | panthers | eltham | central park | 1922 | 2003.0 row 3 : greensborough football club | 1905 | boro | greensborough | war memorial park | 1922 | 2007.0 row 4 : heidelberg football club | 1876 | tigers | heidelberg | warringal park | 1923 | 1983.0 row 5 : lalor football club | 1955 | bloods | lalor | lalor reserve | 1968 | 2011.0 row 6 : macleod football club | 1946 | kangaroos | rosanna | de winton park | 1947 | 2010.0 row 7 : montmorency football club | 1924 | magpies | montmorency | montmorency park, north oval | 1924 | nan row 8 : north heidelberg football club | 1958 | bulldogs | heidelberg heights | shelley street reserve | 1958 | nan row 9 : northcote park football club | 1952 | cougars | northcote | bill lawry oval | 1982 | 1995.0 row 10 : west preston lakeside football club | 1998 | roosters | reservoir | j e moore park | 1996 | 1997.0
table_csv/204_959.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "in what years were the teams founded?" ]
2
1974, 1909, 1905, 1876, 1955, 1946, 1924, 1958, 1952, 1998
[ "Club", "Founded", "Nickname", "Location", "Home Ground", "Entered Competition", "Most recent Promotion" ]
in what years were the teams founded?
[ [ "Bundoora Football Club", "1974", "Bulls", "Bundoora", "Yulong Reserve", "1981", "1982.0" ], [ "Eltham Football Club", "1909", "Panthers", "Eltham", "Central Park", "1922", "2003.0" ], [ "Greensborough Football Club", "1905", "Boro", "Greensborough", "War Memorial Park", "1922", "2007.0" ], [ "Heidelberg Football Club", "1876", "Tigers", "Heidelberg", "Warringal Park", "1923", "1983.0" ], [ "Lalor Football Club", "1955", "Bloods", "Lalor", "Lalor Reserve", "1968", "2011.0" ], [ "Macleod Football Club", "1946", "Kangaroos", "Rosanna", "De Winton Park", "1947", "2010.0" ], [ "Montmorency Football Club", "1924", "Magpies", "Montmorency", "Montmorency Park, North Oval", "1924", "nan" ], [ "North Heidelberg Football Club", "1958", "Bulldogs", "Heidelberg Heights", "Shelley Street Reserve", "1958", "nan" ], [ "Northcote Park Football Club", "1952", "Cougars", "Northcote", "Bill Lawry Oval", "1982", "1995.0" ], [ "West Preston Lakeside Football Club", "1998", "Roosters", "Reservoir", "J E Moore Park", "1996", "1997.0" ] ]
[ "1974", "1909", "1905", "1876", "1955", "1946", "1924", "1958", "1952", "1998" ]
in what years were the teams founded? ||
ns-1522
col : club | founded | nickname | location | home ground | entered competition | most recent promotion row 1 : bundoora football club | 1974 | bulls | bundoora | yulong reserve | 1981 | 1982.0 row 2 : eltham football club | 1909 | panthers | eltham | central park | 1922 | 2003.0 row 3 : greensborough football club | 1905 | boro | greensborough | war memorial park | 1922 | 2007.0 row 4 : heidelberg football club | 1876 | tigers | heidelberg | warringal park | 1923 | 1983.0 row 5 : lalor football club | 1955 | bloods | lalor | lalor reserve | 1968 | 2011.0 row 6 : macleod football club | 1946 | kangaroos | rosanna | de winton park | 1947 | 2010.0 row 7 : montmorency football club | 1924 | magpies | montmorency | montmorency park, north oval | 1924 | nan row 8 : north heidelberg football club | 1958 | bulldogs | heidelberg heights | shelley street reserve | 1958 | nan row 9 : northcote park football club | 1952 | cougars | northcote | bill lawry oval | 1982 | 1995.0 row 10 : west preston lakeside football club | 1998 | roosters | reservoir | j e moore park | 1996 | 1997.0
table_csv/204_959.csv
1
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "in what years were the teams founded?", "what team was founded in the 1800's?" ]
2
heidelberg football club
[ "Club", "Founded", "Nickname", "Location", "Home Ground", "Entered Competition", "Most recent Promotion" ]
what team was founded in the 1800's?
[ [ "Bundoora Football Club", "1974", "Bulls", "Bundoora", "Yulong Reserve", "1981", "1982.0" ], [ "Eltham Football Club", "1909", "Panthers", "Eltham", "Central Park", "1922", "2003.0" ], [ "Greensborough Football Club", "1905", "Boro", "Greensborough", "War Memorial Park", "1922", "2007.0" ], [ "Heidelberg Football Club", "1876", "Tigers", "Heidelberg", "Warringal Park", "1923", "1983.0" ], [ "Lalor Football Club", "1955", "Bloods", "Lalor", "Lalor Reserve", "1968", "2011.0" ], [ "Macleod Football Club", "1946", "Kangaroos", "Rosanna", "De Winton Park", "1947", "2010.0" ], [ "Montmorency Football Club", "1924", "Magpies", "Montmorency", "Montmorency Park, North Oval", "1924", "nan" ], [ "North Heidelberg Football Club", "1958", "Bulldogs", "Heidelberg Heights", "Shelley Street Reserve", "1958", "nan" ], [ "Northcote Park Football Club", "1952", "Cougars", "Northcote", "Bill Lawry Oval", "1982", "1995.0" ], [ "West Preston Lakeside Football Club", "1998", "Roosters", "Reservoir", "J E Moore Park", "1996", "1997.0" ] ]
[ "Heidelberg Football Club" ]
what team was founded in the 1800's? || in what years were the teams founded?
ns-3210
col : date | opponent# | rank# | site | result row 1 : september 5 | maryland | nan | carrier dome * syracuse, ny | w 35-11 row 2 : september 12 | rutgers | nan | rutgers stadium * piscataway, nj | w 20-3 row 3 : september 19 | miami (oh) | nan | carrier dome * syracuse, ny | w 24-10 row 4 : september 26 | at virginia tech | nan | lane stadium * blacksburg, va | w 35-21 row 5 : october 3 | at missouri | nan | memorial stadium * columbia, mo | w 24-13 row 6 : october 17 | #10 penn state | #13 | carrier dome * syracuse, ny | w 48-21 row 7 : october 24 | colgate | #9 | carrier dome * syracuse, ny | w 52-6 row 8 : october 31 | at pittsburgh | #8 | pitt stadium * pittsburgh, pa | w 24-10 row 9 : november 7 | at navy | #8 | navy-marine corps memorial stadium * annapolis, md | w 34-10 row 10 : november 14 | boston college | #6 | carrier dome * syracuse, ny | w 45-17 row 11 : november 21 | west virginia | #6 | carrier dome * syracuse, ny | w 32-31 row 12 : january 1 | vs. #6 auburn | #4 | louisiana superdome * new orleans, la (sugar bowl) | t 16-16
table_csv/203_720.csv
0
{ "column_index": [ 4 ], "row_index": [ 11 ] }
[ "which games were a tie?" ]
0
t 16-16
[ "Date", "Opponent#", "Rank#", "Site", "Result" ]
which games were a tie?
[ [ "September 5", "Maryland", "nan", "Carrier Dome * Syracuse, NY", "W 35-11" ], [ "September 12", "Rutgers", "nan", "Rutgers Stadium * Piscataway, NJ", "W 20-3" ], [ "September 19", "Miami (OH)", "nan", "Carrier Dome * Syracuse, NY", "W 24-10" ], [ "September 26", "at Virginia Tech", "nan", "Lane Stadium * Blacksburg, VA", "W 35-21" ], [ "October 3", "at Missouri", "nan", "Memorial Stadium * Columbia, MO", "W 24-13" ], [ "October 17", "#10 Penn State", "#13", "Carrier Dome * Syracuse, NY", "W 48-21" ], [ "October 24", "Colgate", "#9", "Carrier Dome * Syracuse, NY", "W 52-6" ], [ "October 31", "at Pittsburgh", "#8", "Pitt Stadium * Pittsburgh, PA", "W 24-10" ], [ "November 7", "at Navy", "#8", "Navy-Marine Corps Memorial Stadium * Annapolis, MD", "W 34-10" ], [ "November 14", "Boston College", "#6", "Carrier Dome * Syracuse, NY", "W 45-17" ], [ "November 21", "West Virginia", "#6", "Carrier Dome * Syracuse, NY", "W 32-31" ], [ "January 1", "vs. #6 Auburn", "#4", "Louisiana Superdome * New Orleans, LA (Sugar Bowl)", "T 16-16" ] ]
[ "T 16-16" ]
which games were a tie? ||
ns-3210
col : date | opponent# | rank# | site | result row 1 : september 5 | maryland | nan | carrier dome * syracuse, ny | w 35-11 row 2 : september 12 | rutgers | nan | rutgers stadium * piscataway, nj | w 20-3 row 3 : september 19 | miami (oh) | nan | carrier dome * syracuse, ny | w 24-10 row 4 : september 26 | at virginia tech | nan | lane stadium * blacksburg, va | w 35-21 row 5 : october 3 | at missouri | nan | memorial stadium * columbia, mo | w 24-13 row 6 : october 17 | #10 penn state | #13 | carrier dome * syracuse, ny | w 48-21 row 7 : october 24 | colgate | #9 | carrier dome * syracuse, ny | w 52-6 row 8 : october 31 | at pittsburgh | #8 | pitt stadium * pittsburgh, pa | w 24-10 row 9 : november 7 | at navy | #8 | navy-marine corps memorial stadium * annapolis, md | w 34-10 row 10 : november 14 | boston college | #6 | carrier dome * syracuse, ny | w 45-17 row 11 : november 21 | west virginia | #6 | carrier dome * syracuse, ny | w 32-31 row 12 : january 1 | vs. #6 auburn | #4 | louisiana superdome * new orleans, la (sugar bowl) | t 16-16
table_csv/203_720.csv
1
{ "column_index": [ 0 ], "row_index": [ 11 ] }
[ "which games were a tie?", "what date was that game?" ]
0
january 1
[ "Date", "Opponent#", "Rank#", "Site", "Result" ]
what date was that game?
[ [ "September 5", "Maryland", "nan", "Carrier Dome * Syracuse, NY", "W 35-11" ], [ "September 12", "Rutgers", "nan", "Rutgers Stadium * Piscataway, NJ", "W 20-3" ], [ "September 19", "Miami (OH)", "nan", "Carrier Dome * Syracuse, NY", "W 24-10" ], [ "September 26", "at Virginia Tech", "nan", "Lane Stadium * Blacksburg, VA", "W 35-21" ], [ "October 3", "at Missouri", "nan", "Memorial Stadium * Columbia, MO", "W 24-13" ], [ "October 17", "#10 Penn State", "#13", "Carrier Dome * Syracuse, NY", "W 48-21" ], [ "October 24", "Colgate", "#9", "Carrier Dome * Syracuse, NY", "W 52-6" ], [ "October 31", "at Pittsburgh", "#8", "Pitt Stadium * Pittsburgh, PA", "W 24-10" ], [ "November 7", "at Navy", "#8", "Navy-Marine Corps Memorial Stadium * Annapolis, MD", "W 34-10" ], [ "November 14", "Boston College", "#6", "Carrier Dome * Syracuse, NY", "W 45-17" ], [ "November 21", "West Virginia", "#6", "Carrier Dome * Syracuse, NY", "W 32-31" ], [ "January 1", "vs. #6 Auburn", "#4", "Louisiana Superdome * New Orleans, LA (Sugar Bowl)", "T 16-16" ] ]
[ "January 1" ]
what date was that game? || which games were a tie?
ns-3210
col : date | opponent# | rank# | site | result row 1 : september 5 | maryland | nan | carrier dome * syracuse, ny | w 35-11 row 2 : september 12 | rutgers | nan | rutgers stadium * piscataway, nj | w 20-3 row 3 : september 19 | miami (oh) | nan | carrier dome * syracuse, ny | w 24-10 row 4 : september 26 | at virginia tech | nan | lane stadium * blacksburg, va | w 35-21 row 5 : october 3 | at missouri | nan | memorial stadium * columbia, mo | w 24-13 row 6 : october 17 | #10 penn state | #13 | carrier dome * syracuse, ny | w 48-21 row 7 : october 24 | colgate | #9 | carrier dome * syracuse, ny | w 52-6 row 8 : october 31 | at pittsburgh | #8 | pitt stadium * pittsburgh, pa | w 24-10 row 9 : november 7 | at navy | #8 | navy-marine corps memorial stadium * annapolis, md | w 34-10 row 10 : november 14 | boston college | #6 | carrier dome * syracuse, ny | w 45-17 row 11 : november 21 | west virginia | #6 | carrier dome * syracuse, ny | w 32-31 row 12 : january 1 | vs. #6 auburn | #4 | louisiana superdome * new orleans, la (sugar bowl) | t 16-16
table_csv/203_720.csv
0
{ "column_index": [ 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 ] }
[ "what are all of the dates?" ]
1
september 5, september 12, september 19, september 26, october 3, october 17, october 24, october 31, november 7, november 14, november 21, january 1
[ "Date", "Opponent#", "Rank#", "Site", "Result" ]
what are all of the dates?
[ [ "September 5", "Maryland", "nan", "Carrier Dome * Syracuse, NY", "W 35-11" ], [ "September 12", "Rutgers", "nan", "Rutgers Stadium * Piscataway, NJ", "W 20-3" ], [ "September 19", "Miami (OH)", "nan", "Carrier Dome * Syracuse, NY", "W 24-10" ], [ "September 26", "at Virginia Tech", "nan", "Lane Stadium * Blacksburg, VA", "W 35-21" ], [ "October 3", "at Missouri", "nan", "Memorial Stadium * Columbia, MO", "W 24-13" ], [ "October 17", "#10 Penn State", "#13", "Carrier Dome * Syracuse, NY", "W 48-21" ], [ "October 24", "Colgate", "#9", "Carrier Dome * Syracuse, NY", "W 52-6" ], [ "October 31", "at Pittsburgh", "#8", "Pitt Stadium * Pittsburgh, PA", "W 24-10" ], [ "November 7", "at Navy", "#8", "Navy-Marine Corps Memorial Stadium * Annapolis, MD", "W 34-10" ], [ "November 14", "Boston College", "#6", "Carrier Dome * Syracuse, NY", "W 45-17" ], [ "November 21", "West Virginia", "#6", "Carrier Dome * Syracuse, NY", "W 32-31" ], [ "January 1", "vs. #6 Auburn", "#4", "Louisiana Superdome * New Orleans, LA (Sugar Bowl)", "T 16-16" ] ]
[ "September 5", "September 12", "September 19", "September 26", "October 3", "October 17", "October 24", "October 31", "November 7", "November 14", "November 21", "January 1" ]
what are all of the dates? ||
ns-3210
col : date | opponent# | rank# | site | result row 1 : september 5 | maryland | nan | carrier dome * syracuse, ny | w 35-11 row 2 : september 12 | rutgers | nan | rutgers stadium * piscataway, nj | w 20-3 row 3 : september 19 | miami (oh) | nan | carrier dome * syracuse, ny | w 24-10 row 4 : september 26 | at virginia tech | nan | lane stadium * blacksburg, va | w 35-21 row 5 : october 3 | at missouri | nan | memorial stadium * columbia, mo | w 24-13 row 6 : october 17 | #10 penn state | #13 | carrier dome * syracuse, ny | w 48-21 row 7 : october 24 | colgate | #9 | carrier dome * syracuse, ny | w 52-6 row 8 : october 31 | at pittsburgh | #8 | pitt stadium * pittsburgh, pa | w 24-10 row 9 : november 7 | at navy | #8 | navy-marine corps memorial stadium * annapolis, md | w 34-10 row 10 : november 14 | boston college | #6 | carrier dome * syracuse, ny | w 45-17 row 11 : november 21 | west virginia | #6 | carrier dome * syracuse, ny | w 32-31 row 12 : january 1 | vs. #6 auburn | #4 | louisiana superdome * new orleans, la (sugar bowl) | t 16-16
table_csv/203_720.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "what are all of the dates?", "what were the results of those games?" ]
1
w 35-11, w 20-3, w 24-10, w 35-21, w 24-13, w 48-21, w 52-6, w 24-10, w 34-10, w 45-17, w 32-31, t 16-16
[ "Date", "Opponent#", "Rank#", "Site", "Result" ]
what were the results of those games?
[ [ "September 5", "Maryland", "nan", "Carrier Dome * Syracuse, NY", "W 35-11" ], [ "September 12", "Rutgers", "nan", "Rutgers Stadium * Piscataway, NJ", "W 20-3" ], [ "September 19", "Miami (OH)", "nan", "Carrier Dome * Syracuse, NY", "W 24-10" ], [ "September 26", "at Virginia Tech", "nan", "Lane Stadium * Blacksburg, VA", "W 35-21" ], [ "October 3", "at Missouri", "nan", "Memorial Stadium * Columbia, MO", "W 24-13" ], [ "October 17", "#10 Penn State", "#13", "Carrier Dome * Syracuse, NY", "W 48-21" ], [ "October 24", "Colgate", "#9", "Carrier Dome * Syracuse, NY", "W 52-6" ], [ "October 31", "at Pittsburgh", "#8", "Pitt Stadium * Pittsburgh, PA", "W 24-10" ], [ "November 7", "at Navy", "#8", "Navy-Marine Corps Memorial Stadium * Annapolis, MD", "W 34-10" ], [ "November 14", "Boston College", "#6", "Carrier Dome * Syracuse, NY", "W 45-17" ], [ "November 21", "West Virginia", "#6", "Carrier Dome * Syracuse, NY", "W 32-31" ], [ "January 1", "vs. #6 Auburn", "#4", "Louisiana Superdome * New Orleans, LA (Sugar Bowl)", "T 16-16" ] ]
[ "W 35-11", "W 20-3", "W 24-10", "W 35-21", "W 24-13", "W 48-21", "W 52-6", "W 24-10", "W 34-10", "W 45-17", "W 32-31", "T 16-16" ]
what were the results of those games? || what are all of the dates?
ns-3210
col : date | opponent# | rank# | site | result row 1 : september 5 | maryland | nan | carrier dome * syracuse, ny | w 35-11 row 2 : september 12 | rutgers | nan | rutgers stadium * piscataway, nj | w 20-3 row 3 : september 19 | miami (oh) | nan | carrier dome * syracuse, ny | w 24-10 row 4 : september 26 | at virginia tech | nan | lane stadium * blacksburg, va | w 35-21 row 5 : october 3 | at missouri | nan | memorial stadium * columbia, mo | w 24-13 row 6 : october 17 | #10 penn state | #13 | carrier dome * syracuse, ny | w 48-21 row 7 : october 24 | colgate | #9 | carrier dome * syracuse, ny | w 52-6 row 8 : october 31 | at pittsburgh | #8 | pitt stadium * pittsburgh, pa | w 24-10 row 9 : november 7 | at navy | #8 | navy-marine corps memorial stadium * annapolis, md | w 34-10 row 10 : november 14 | boston college | #6 | carrier dome * syracuse, ny | w 45-17 row 11 : november 21 | west virginia | #6 | carrier dome * syracuse, ny | w 32-31 row 12 : january 1 | vs. #6 auburn | #4 | louisiana superdome * new orleans, la (sugar bowl) | t 16-16
table_csv/203_720.csv
2
{ "column_index": [ 0 ], "row_index": [ 11 ] }
[ "what are all of the dates?", "what were the results of those games?", "and on which date did the game result in a tie?" ]
1
january 1
[ "Date", "Opponent#", "Rank#", "Site", "Result" ]
and on which date did the game result in a tie?
[ [ "September 5", "Maryland", "nan", "Carrier Dome * Syracuse, NY", "W 35-11" ], [ "September 12", "Rutgers", "nan", "Rutgers Stadium * Piscataway, NJ", "W 20-3" ], [ "September 19", "Miami (OH)", "nan", "Carrier Dome * Syracuse, NY", "W 24-10" ], [ "September 26", "at Virginia Tech", "nan", "Lane Stadium * Blacksburg, VA", "W 35-21" ], [ "October 3", "at Missouri", "nan", "Memorial Stadium * Columbia, MO", "W 24-13" ], [ "October 17", "#10 Penn State", "#13", "Carrier Dome * Syracuse, NY", "W 48-21" ], [ "October 24", "Colgate", "#9", "Carrier Dome * Syracuse, NY", "W 52-6" ], [ "October 31", "at Pittsburgh", "#8", "Pitt Stadium * Pittsburgh, PA", "W 24-10" ], [ "November 7", "at Navy", "#8", "Navy-Marine Corps Memorial Stadium * Annapolis, MD", "W 34-10" ], [ "November 14", "Boston College", "#6", "Carrier Dome * Syracuse, NY", "W 45-17" ], [ "November 21", "West Virginia", "#6", "Carrier Dome * Syracuse, NY", "W 32-31" ], [ "January 1", "vs. #6 Auburn", "#4", "Louisiana Superdome * New Orleans, LA (Sugar Bowl)", "T 16-16" ] ]
[ "January 1" ]
and on which date did the game result in a tie? || what were the results of those games? | what are all of the dates?
ns-3210
col : date | opponent# | rank# | site | result row 1 : september 5 | maryland | nan | carrier dome * syracuse, ny | w 35-11 row 2 : september 12 | rutgers | nan | rutgers stadium * piscataway, nj | w 20-3 row 3 : september 19 | miami (oh) | nan | carrier dome * syracuse, ny | w 24-10 row 4 : september 26 | at virginia tech | nan | lane stadium * blacksburg, va | w 35-21 row 5 : october 3 | at missouri | nan | memorial stadium * columbia, mo | w 24-13 row 6 : october 17 | #10 penn state | #13 | carrier dome * syracuse, ny | w 48-21 row 7 : october 24 | colgate | #9 | carrier dome * syracuse, ny | w 52-6 row 8 : october 31 | at pittsburgh | #8 | pitt stadium * pittsburgh, pa | w 24-10 row 9 : november 7 | at navy | #8 | navy-marine corps memorial stadium * annapolis, md | w 34-10 row 10 : november 14 | boston college | #6 | carrier dome * syracuse, ny | w 45-17 row 11 : november 21 | west virginia | #6 | carrier dome * syracuse, ny | w 32-31 row 12 : january 1 | vs. #6 auburn | #4 | louisiana superdome * new orleans, la (sugar bowl) | t 16-16
table_csv/203_720.csv
0
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "what were the scores of the games played between september 5 and january 1st?" ]
2
w 35-11, w 20-3, w 24-10, w 35-21, w 24-13, w 48-21, w 52-6, w 24-10, w 34-10, w 45-17, w 32-31, t 16-16
[ "Date", "Opponent#", "Rank#", "Site", "Result" ]
what were the scores of the games played between september 5 and january 1st?
[ [ "September 5", "Maryland", "nan", "Carrier Dome * Syracuse, NY", "W 35-11" ], [ "September 12", "Rutgers", "nan", "Rutgers Stadium * Piscataway, NJ", "W 20-3" ], [ "September 19", "Miami (OH)", "nan", "Carrier Dome * Syracuse, NY", "W 24-10" ], [ "September 26", "at Virginia Tech", "nan", "Lane Stadium * Blacksburg, VA", "W 35-21" ], [ "October 3", "at Missouri", "nan", "Memorial Stadium * Columbia, MO", "W 24-13" ], [ "October 17", "#10 Penn State", "#13", "Carrier Dome * Syracuse, NY", "W 48-21" ], [ "October 24", "Colgate", "#9", "Carrier Dome * Syracuse, NY", "W 52-6" ], [ "October 31", "at Pittsburgh", "#8", "Pitt Stadium * Pittsburgh, PA", "W 24-10" ], [ "November 7", "at Navy", "#8", "Navy-Marine Corps Memorial Stadium * Annapolis, MD", "W 34-10" ], [ "November 14", "Boston College", "#6", "Carrier Dome * Syracuse, NY", "W 45-17" ], [ "November 21", "West Virginia", "#6", "Carrier Dome * Syracuse, NY", "W 32-31" ], [ "January 1", "vs. #6 Auburn", "#4", "Louisiana Superdome * New Orleans, LA (Sugar Bowl)", "T 16-16" ] ]
[ "W 35-11", "W 20-3", "W 24-10", "W 35-21", "W 24-13", "W 48-21", "W 52-6", "W 24-10", "W 34-10", "W 45-17", "W 32-31", "T 16-16" ]
what were the scores of the games played between september 5 and january 1st? ||
ns-3210
col : date | opponent# | rank# | site | result row 1 : september 5 | maryland | nan | carrier dome * syracuse, ny | w 35-11 row 2 : september 12 | rutgers | nan | rutgers stadium * piscataway, nj | w 20-3 row 3 : september 19 | miami (oh) | nan | carrier dome * syracuse, ny | w 24-10 row 4 : september 26 | at virginia tech | nan | lane stadium * blacksburg, va | w 35-21 row 5 : october 3 | at missouri | nan | memorial stadium * columbia, mo | w 24-13 row 6 : october 17 | #10 penn state | #13 | carrier dome * syracuse, ny | w 48-21 row 7 : october 24 | colgate | #9 | carrier dome * syracuse, ny | w 52-6 row 8 : october 31 | at pittsburgh | #8 | pitt stadium * pittsburgh, pa | w 24-10 row 9 : november 7 | at navy | #8 | navy-marine corps memorial stadium * annapolis, md | w 34-10 row 10 : november 14 | boston college | #6 | carrier dome * syracuse, ny | w 45-17 row 11 : november 21 | west virginia | #6 | carrier dome * syracuse, ny | w 32-31 row 12 : january 1 | vs. #6 auburn | #4 | louisiana superdome * new orleans, la (sugar bowl) | t 16-16
table_csv/203_720.csv
1
{ "column_index": [ 0 ], "row_index": [ 11 ] }
[ "what were the scores of the games played between september 5 and january 1st?", "what date did they have a tie game?" ]
2
january 1
[ "Date", "Opponent#", "Rank#", "Site", "Result" ]
what date did they have a tie game?
[ [ "September 5", "Maryland", "nan", "Carrier Dome * Syracuse, NY", "W 35-11" ], [ "September 12", "Rutgers", "nan", "Rutgers Stadium * Piscataway, NJ", "W 20-3" ], [ "September 19", "Miami (OH)", "nan", "Carrier Dome * Syracuse, NY", "W 24-10" ], [ "September 26", "at Virginia Tech", "nan", "Lane Stadium * Blacksburg, VA", "W 35-21" ], [ "October 3", "at Missouri", "nan", "Memorial Stadium * Columbia, MO", "W 24-13" ], [ "October 17", "#10 Penn State", "#13", "Carrier Dome * Syracuse, NY", "W 48-21" ], [ "October 24", "Colgate", "#9", "Carrier Dome * Syracuse, NY", "W 52-6" ], [ "October 31", "at Pittsburgh", "#8", "Pitt Stadium * Pittsburgh, PA", "W 24-10" ], [ "November 7", "at Navy", "#8", "Navy-Marine Corps Memorial Stadium * Annapolis, MD", "W 34-10" ], [ "November 14", "Boston College", "#6", "Carrier Dome * Syracuse, NY", "W 45-17" ], [ "November 21", "West Virginia", "#6", "Carrier Dome * Syracuse, NY", "W 32-31" ], [ "January 1", "vs. #6 Auburn", "#4", "Louisiana Superdome * New Orleans, LA (Sugar Bowl)", "T 16-16" ] ]
[ "January 1" ]
what date did they have a tie game? || what were the scores of the games played between september 5 and january 1st?
ns-1505
col : school name | city | grades | establishment | charter row 1 : aliamanu intermediate school | honolulu | 7-8 | 1958 | nan row 2 : anuenue school | honolulu | k-12 | 1958 | charter row 3 : central middle school | honolulu | 6-8 | 1926 | nan row 4 : dole middle school | honolulu | 6-8 | 1955 | nan row 5 : halau ku mana ncpcs | honolulu | 6-12 | 2000 | charter row 6 : jarrett middle school | honolulu | 6-8 | 1955 | nan row 7 : kaimuki middle school | honolulu | 6-8 | 1939 | nan row 8 : kalakaua middle school | honolulu | 6-8 | 1928 | nan row 9 : kawananakoa middle school | honolulu | 6-8 | 1927 | nan row 10 : moanalua middle school | honolulu | 7-8 | 1967 | nan row 11 : niu valley middle school | honolulu | 6-8 | 1955 | nan row 12 : stevenson middle school | honolulu | 6-8 | 1937 | nan row 13 : washington middle school | honolulu | 6-8 | 1854 | nan
table_csv/203_416.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 all the school names?" ]
0
aliamanu intermediate school, anuenue school, central middle school, dole middle school, halau ku mana ncpcs, jarrett middle school, kaimuki middle school, kalakaua middle school, kawananakoa middle school, moanalua middle school, niu valley middle school, stevenson middle school, washington middle school
[ "School Name", "City", "Grades", "Establishment", "Charter" ]
what are all the school names?
[ [ "Aliamanu Intermediate School", "Honolulu", "7-8", "1958", "nan" ], [ "Anuenue School", "Honolulu", "K-12", "1958", "Charter" ], [ "Central Middle School", "Honolulu", "6-8", "1926", "nan" ], [ "Dole Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Halau Ku Mana NCPCS", "Honolulu", "6-12", "2000", "charter" ], [ "Jarrett Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Kaimuki Middle School", "Honolulu", "6-8", "1939", "nan" ], [ "Kalakaua Middle School", "Honolulu", "6-8", "1928", "nan" ], [ "Kawananakoa Middle School", "Honolulu", "6-8", "1927", "nan" ], [ "Moanalua Middle School", "Honolulu", "7-8", "1967", "nan" ], [ "Niu Valley Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Stevenson Middle School", "Honolulu", "6-8", "1937", "nan" ], [ "Washington Middle School", "Honolulu", "6-8", "1854", "nan" ] ]
[ "Aliamanu Intermediate School", "Anuenue School", "Central Middle School", "Dole Middle School", "Halau Ku Mana NCPCS", "Jarrett Middle School", "Kaimuki Middle School", "Kalakaua Middle School", "Kawananakoa Middle School", "Moanalua Middle School", "Niu Valley Middle School", "Stevenson Middle School", "Washington Middle School" ]
what are all the school names? ||
ns-1505
col : school name | city | grades | establishment | charter row 1 : aliamanu intermediate school | honolulu | 7-8 | 1958 | nan row 2 : anuenue school | honolulu | k-12 | 1958 | charter row 3 : central middle school | honolulu | 6-8 | 1926 | nan row 4 : dole middle school | honolulu | 6-8 | 1955 | nan row 5 : halau ku mana ncpcs | honolulu | 6-12 | 2000 | charter row 6 : jarrett middle school | honolulu | 6-8 | 1955 | nan row 7 : kaimuki middle school | honolulu | 6-8 | 1939 | nan row 8 : kalakaua middle school | honolulu | 6-8 | 1928 | nan row 9 : kawananakoa middle school | honolulu | 6-8 | 1927 | nan row 10 : moanalua middle school | honolulu | 7-8 | 1967 | nan row 11 : niu valley middle school | honolulu | 6-8 | 1955 | nan row 12 : stevenson middle school | honolulu | 6-8 | 1937 | nan row 13 : washington middle school | honolulu | 6-8 | 1854 | nan
table_csv/203_416.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 1, 4 ] }
[ "what are all the school names?", "which ones are charter schools?" ]
0
anuenue school, halau ku mana ncpcs
[ "School Name", "City", "Grades", "Establishment", "Charter" ]
which ones are charter schools?
[ [ "Aliamanu Intermediate School", "Honolulu", "7-8", "1958", "nan" ], [ "Anuenue School", "Honolulu", "K-12", "1958", "Charter" ], [ "Central Middle School", "Honolulu", "6-8", "1926", "nan" ], [ "Dole Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Halau Ku Mana NCPCS", "Honolulu", "6-12", "2000", "charter" ], [ "Jarrett Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Kaimuki Middle School", "Honolulu", "6-8", "1939", "nan" ], [ "Kalakaua Middle School", "Honolulu", "6-8", "1928", "nan" ], [ "Kawananakoa Middle School", "Honolulu", "6-8", "1927", "nan" ], [ "Moanalua Middle School", "Honolulu", "7-8", "1967", "nan" ], [ "Niu Valley Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Stevenson Middle School", "Honolulu", "6-8", "1937", "nan" ], [ "Washington Middle School", "Honolulu", "6-8", "1854", "nan" ] ]
[ "Anuenue School", "Halau Ku Mana NCPCS" ]
which ones are charter schools? || what are all the school names?
ns-1505
col : school name | city | grades | establishment | charter row 1 : aliamanu intermediate school | honolulu | 7-8 | 1958 | nan row 2 : anuenue school | honolulu | k-12 | 1958 | charter row 3 : central middle school | honolulu | 6-8 | 1926 | nan row 4 : dole middle school | honolulu | 6-8 | 1955 | nan row 5 : halau ku mana ncpcs | honolulu | 6-12 | 2000 | charter row 6 : jarrett middle school | honolulu | 6-8 | 1955 | nan row 7 : kaimuki middle school | honolulu | 6-8 | 1939 | nan row 8 : kalakaua middle school | honolulu | 6-8 | 1928 | nan row 9 : kawananakoa middle school | honolulu | 6-8 | 1927 | nan row 10 : moanalua middle school | honolulu | 7-8 | 1967 | nan row 11 : niu valley middle school | honolulu | 6-8 | 1955 | nan row 12 : stevenson middle school | honolulu | 6-8 | 1937 | nan row 13 : washington middle school | honolulu | 6-8 | 1854 | nan
table_csv/203_416.csv
3
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "what are all the school names?", "which ones are charter schools?", "what type of school is aliamanu intermediate school", "which charter school opened in 2000?" ]
0
halau ku mana ncpcs
[ "School Name", "City", "Grades", "Establishment", "Charter" ]
which charter school opened in 2000?
[ [ "Aliamanu Intermediate School", "Honolulu", "7-8", "1958", "nan" ], [ "Anuenue School", "Honolulu", "K-12", "1958", "Charter" ], [ "Central Middle School", "Honolulu", "6-8", "1926", "nan" ], [ "Dole Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Halau Ku Mana NCPCS", "Honolulu", "6-12", "2000", "charter" ], [ "Jarrett Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Kaimuki Middle School", "Honolulu", "6-8", "1939", "nan" ], [ "Kalakaua Middle School", "Honolulu", "6-8", "1928", "nan" ], [ "Kawananakoa Middle School", "Honolulu", "6-8", "1927", "nan" ], [ "Moanalua Middle School", "Honolulu", "7-8", "1967", "nan" ], [ "Niu Valley Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Stevenson Middle School", "Honolulu", "6-8", "1937", "nan" ], [ "Washington Middle School", "Honolulu", "6-8", "1854", "nan" ] ]
[ "Halau Ku Mana NCPCS" ]
which charter school opened in 2000? || what type of school is aliamanu intermediate school | which ones are charter schools? | what are all the school names?
ns-1505
col : school name | city | grades | establishment | charter row 1 : aliamanu intermediate school | honolulu | 7-8 | 1958 | nan row 2 : anuenue school | honolulu | k-12 | 1958 | charter row 3 : central middle school | honolulu | 6-8 | 1926 | nan row 4 : dole middle school | honolulu | 6-8 | 1955 | nan row 5 : halau ku mana ncpcs | honolulu | 6-12 | 2000 | charter row 6 : jarrett middle school | honolulu | 6-8 | 1955 | nan row 7 : kaimuki middle school | honolulu | 6-8 | 1939 | nan row 8 : kalakaua middle school | honolulu | 6-8 | 1928 | nan row 9 : kawananakoa middle school | honolulu | 6-8 | 1927 | nan row 10 : moanalua middle school | honolulu | 7-8 | 1967 | nan row 11 : niu valley middle school | honolulu | 6-8 | 1955 | nan row 12 : stevenson middle school | honolulu | 6-8 | 1937 | nan row 13 : washington middle school | honolulu | 6-8 | 1854 | nan
table_csv/203_416.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 schools?" ]
1
aliamanu intermediate school, anuenue school, central middle school, dole middle school, halau ku mana ncpcs, jarrett middle school, kaimuki middle school, kalakaua middle school, kawananakoa middle school, moanalua middle school, niu valley middle school, stevenson middle school, washington middle school
[ "School Name", "City", "Grades", "Establishment", "Charter" ]
what are the schools?
[ [ "Aliamanu Intermediate School", "Honolulu", "7-8", "1958", "nan" ], [ "Anuenue School", "Honolulu", "K-12", "1958", "Charter" ], [ "Central Middle School", "Honolulu", "6-8", "1926", "nan" ], [ "Dole Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Halau Ku Mana NCPCS", "Honolulu", "6-12", "2000", "charter" ], [ "Jarrett Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Kaimuki Middle School", "Honolulu", "6-8", "1939", "nan" ], [ "Kalakaua Middle School", "Honolulu", "6-8", "1928", "nan" ], [ "Kawananakoa Middle School", "Honolulu", "6-8", "1927", "nan" ], [ "Moanalua Middle School", "Honolulu", "7-8", "1967", "nan" ], [ "Niu Valley Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Stevenson Middle School", "Honolulu", "6-8", "1937", "nan" ], [ "Washington Middle School", "Honolulu", "6-8", "1854", "nan" ] ]
[ "Aliamanu Intermediate School", "Anuenue School", "Central Middle School", "Dole Middle School", "Halau Ku Mana NCPCS", "Jarrett Middle School", "Kaimuki Middle School", "Kalakaua Middle School", "Kawananakoa Middle School", "Moanalua Middle School", "Niu Valley Middle School", "Stevenson Middle School", "Washington Middle School" ]
what are the schools? ||
ns-1505
col : school name | city | grades | establishment | charter row 1 : aliamanu intermediate school | honolulu | 7-8 | 1958 | nan row 2 : anuenue school | honolulu | k-12 | 1958 | charter row 3 : central middle school | honolulu | 6-8 | 1926 | nan row 4 : dole middle school | honolulu | 6-8 | 1955 | nan row 5 : halau ku mana ncpcs | honolulu | 6-12 | 2000 | charter row 6 : jarrett middle school | honolulu | 6-8 | 1955 | nan row 7 : kaimuki middle school | honolulu | 6-8 | 1939 | nan row 8 : kalakaua middle school | honolulu | 6-8 | 1928 | nan row 9 : kawananakoa middle school | honolulu | 6-8 | 1927 | nan row 10 : moanalua middle school | honolulu | 7-8 | 1967 | nan row 11 : niu valley middle school | honolulu | 6-8 | 1955 | nan row 12 : stevenson middle school | honolulu | 6-8 | 1937 | nan row 13 : washington middle school | honolulu | 6-8 | 1854 | nan
table_csv/203_416.csv
1
{ "column_index": [ 0, 0 ], "row_index": [ 1, 4 ] }
[ "what are the schools?", "which are charter schools?" ]
1
anuenue school, halau ku mana ncpcs
[ "School Name", "City", "Grades", "Establishment", "Charter" ]
which are charter schools?
[ [ "Aliamanu Intermediate School", "Honolulu", "7-8", "1958", "nan" ], [ "Anuenue School", "Honolulu", "K-12", "1958", "Charter" ], [ "Central Middle School", "Honolulu", "6-8", "1926", "nan" ], [ "Dole Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Halau Ku Mana NCPCS", "Honolulu", "6-12", "2000", "charter" ], [ "Jarrett Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Kaimuki Middle School", "Honolulu", "6-8", "1939", "nan" ], [ "Kalakaua Middle School", "Honolulu", "6-8", "1928", "nan" ], [ "Kawananakoa Middle School", "Honolulu", "6-8", "1927", "nan" ], [ "Moanalua Middle School", "Honolulu", "7-8", "1967", "nan" ], [ "Niu Valley Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Stevenson Middle School", "Honolulu", "6-8", "1937", "nan" ], [ "Washington Middle School", "Honolulu", "6-8", "1854", "nan" ] ]
[ "Anuenue School", "Halau Ku Mana NCPCS" ]
which are charter schools? || what are the schools?
ns-1505
col : school name | city | grades | establishment | charter row 1 : aliamanu intermediate school | honolulu | 7-8 | 1958 | nan row 2 : anuenue school | honolulu | k-12 | 1958 | charter row 3 : central middle school | honolulu | 6-8 | 1926 | nan row 4 : dole middle school | honolulu | 6-8 | 1955 | nan row 5 : halau ku mana ncpcs | honolulu | 6-12 | 2000 | charter row 6 : jarrett middle school | honolulu | 6-8 | 1955 | nan row 7 : kaimuki middle school | honolulu | 6-8 | 1939 | nan row 8 : kalakaua middle school | honolulu | 6-8 | 1928 | nan row 9 : kawananakoa middle school | honolulu | 6-8 | 1927 | nan row 10 : moanalua middle school | honolulu | 7-8 | 1967 | nan row 11 : niu valley middle school | honolulu | 6-8 | 1955 | nan row 12 : stevenson middle school | honolulu | 6-8 | 1937 | nan row 13 : washington middle school | honolulu | 6-8 | 1854 | nan
table_csv/203_416.csv
2
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "what are the schools?", "which are charter schools?", "which school is a charter school, halau ku mana ncpcs or aliamanu intermediate school?" ]
1
halau ku mana ncpcs
[ "School Name", "City", "Grades", "Establishment", "Charter" ]
which school is a charter school, halau ku mana ncpcs or aliamanu intermediate school?
[ [ "Aliamanu Intermediate School", "Honolulu", "7-8", "1958", "nan" ], [ "Anuenue School", "Honolulu", "K-12", "1958", "Charter" ], [ "Central Middle School", "Honolulu", "6-8", "1926", "nan" ], [ "Dole Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Halau Ku Mana NCPCS", "Honolulu", "6-12", "2000", "charter" ], [ "Jarrett Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Kaimuki Middle School", "Honolulu", "6-8", "1939", "nan" ], [ "Kalakaua Middle School", "Honolulu", "6-8", "1928", "nan" ], [ "Kawananakoa Middle School", "Honolulu", "6-8", "1927", "nan" ], [ "Moanalua Middle School", "Honolulu", "7-8", "1967", "nan" ], [ "Niu Valley Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Stevenson Middle School", "Honolulu", "6-8", "1937", "nan" ], [ "Washington Middle School", "Honolulu", "6-8", "1854", "nan" ] ]
[ "Halau Ku Mana NCPCS" ]
which school is a charter school, halau ku mana ncpcs or aliamanu intermediate school? || which are charter schools? | what are the schools?
ns-1505
col : school name | city | grades | establishment | charter row 1 : aliamanu intermediate school | honolulu | 7-8 | 1958 | nan row 2 : anuenue school | honolulu | k-12 | 1958 | charter row 3 : central middle school | honolulu | 6-8 | 1926 | nan row 4 : dole middle school | honolulu | 6-8 | 1955 | nan row 5 : halau ku mana ncpcs | honolulu | 6-12 | 2000 | charter row 6 : jarrett middle school | honolulu | 6-8 | 1955 | nan row 7 : kaimuki middle school | honolulu | 6-8 | 1939 | nan row 8 : kalakaua middle school | honolulu | 6-8 | 1928 | nan row 9 : kawananakoa middle school | honolulu | 6-8 | 1927 | nan row 10 : moanalua middle school | honolulu | 7-8 | 1967 | nan row 11 : niu valley middle school | honolulu | 6-8 | 1955 | nan row 12 : stevenson middle school | honolulu | 6-8 | 1937 | nan row 13 : washington middle school | honolulu | 6-8 | 1854 | nan
table_csv/203_416.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 all the school names?" ]
2
aliamanu intermediate school, anuenue school, central middle school, dole middle school, halau ku mana ncpcs, jarrett middle school, kaimuki middle school, kalakaua middle school, kawananakoa middle school, moanalua middle school, niu valley middle school, stevenson middle school, washington middle school
[ "School Name", "City", "Grades", "Establishment", "Charter" ]
what are all the school names?
[ [ "Aliamanu Intermediate School", "Honolulu", "7-8", "1958", "nan" ], [ "Anuenue School", "Honolulu", "K-12", "1958", "Charter" ], [ "Central Middle School", "Honolulu", "6-8", "1926", "nan" ], [ "Dole Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Halau Ku Mana NCPCS", "Honolulu", "6-12", "2000", "charter" ], [ "Jarrett Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Kaimuki Middle School", "Honolulu", "6-8", "1939", "nan" ], [ "Kalakaua Middle School", "Honolulu", "6-8", "1928", "nan" ], [ "Kawananakoa Middle School", "Honolulu", "6-8", "1927", "nan" ], [ "Moanalua Middle School", "Honolulu", "7-8", "1967", "nan" ], [ "Niu Valley Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Stevenson Middle School", "Honolulu", "6-8", "1937", "nan" ], [ "Washington Middle School", "Honolulu", "6-8", "1854", "nan" ] ]
[ "Aliamanu Intermediate School", "Anuenue School", "Central Middle School", "Dole Middle School", "Halau Ku Mana NCPCS", "Jarrett Middle School", "Kaimuki Middle School", "Kalakaua Middle School", "Kawananakoa Middle School", "Moanalua Middle School", "Niu Valley Middle School", "Stevenson Middle School", "Washington Middle School" ]
what are all the school names? ||
ns-1505
col : school name | city | grades | establishment | charter row 1 : aliamanu intermediate school | honolulu | 7-8 | 1958 | nan row 2 : anuenue school | honolulu | k-12 | 1958 | charter row 3 : central middle school | honolulu | 6-8 | 1926 | nan row 4 : dole middle school | honolulu | 6-8 | 1955 | nan row 5 : halau ku mana ncpcs | honolulu | 6-12 | 2000 | charter row 6 : jarrett middle school | honolulu | 6-8 | 1955 | nan row 7 : kaimuki middle school | honolulu | 6-8 | 1939 | nan row 8 : kalakaua middle school | honolulu | 6-8 | 1928 | nan row 9 : kawananakoa middle school | honolulu | 6-8 | 1927 | nan row 10 : moanalua middle school | honolulu | 7-8 | 1967 | nan row 11 : niu valley middle school | honolulu | 6-8 | 1955 | nan row 12 : stevenson middle school | honolulu | 6-8 | 1937 | nan row 13 : washington middle school | honolulu | 6-8 | 1854 | nan
table_csv/203_416.csv
1
{ "column_index": [ 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 ] }
[ "what are all the school names?", "what are their charter notes?" ]
2
, charter, , , charter, , , , , , , ,
[ "School Name", "City", "Grades", "Establishment", "Charter" ]
what are their charter notes?
[ [ "Aliamanu Intermediate School", "Honolulu", "7-8", "1958", "nan" ], [ "Anuenue School", "Honolulu", "K-12", "1958", "Charter" ], [ "Central Middle School", "Honolulu", "6-8", "1926", "nan" ], [ "Dole Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Halau Ku Mana NCPCS", "Honolulu", "6-12", "2000", "charter" ], [ "Jarrett Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Kaimuki Middle School", "Honolulu", "6-8", "1939", "nan" ], [ "Kalakaua Middle School", "Honolulu", "6-8", "1928", "nan" ], [ "Kawananakoa Middle School", "Honolulu", "6-8", "1927", "nan" ], [ "Moanalua Middle School", "Honolulu", "7-8", "1967", "nan" ], [ "Niu Valley Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Stevenson Middle School", "Honolulu", "6-8", "1937", "nan" ], [ "Washington Middle School", "Honolulu", "6-8", "1854", "nan" ] ]
[ "", "Charter", "", "", "charter", "", "", "", "", "", "", "", "" ]
what are their charter notes? || what are all the school names?
ns-1505
col : school name | city | grades | establishment | charter row 1 : aliamanu intermediate school | honolulu | 7-8 | 1958 | nan row 2 : anuenue school | honolulu | k-12 | 1958 | charter row 3 : central middle school | honolulu | 6-8 | 1926 | nan row 4 : dole middle school | honolulu | 6-8 | 1955 | nan row 5 : halau ku mana ncpcs | honolulu | 6-12 | 2000 | charter row 6 : jarrett middle school | honolulu | 6-8 | 1955 | nan row 7 : kaimuki middle school | honolulu | 6-8 | 1939 | nan row 8 : kalakaua middle school | honolulu | 6-8 | 1928 | nan row 9 : kawananakoa middle school | honolulu | 6-8 | 1927 | nan row 10 : moanalua middle school | honolulu | 7-8 | 1967 | nan row 11 : niu valley middle school | honolulu | 6-8 | 1955 | nan row 12 : stevenson middle school | honolulu | 6-8 | 1937 | nan row 13 : washington middle school | honolulu | 6-8 | 1854 | nan
table_csv/203_416.csv
2
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "what are all the school names?", "what are their charter notes?", "between aliamanu intermediate school\t and halau ku mana ncpcs, which is chartered?" ]
2
halau ku mana ncpcs
[ "School Name", "City", "Grades", "Establishment", "Charter" ]
between aliamanu intermediate school and halau ku mana ncpcs, which is chartered?
[ [ "Aliamanu Intermediate School", "Honolulu", "7-8", "1958", "nan" ], [ "Anuenue School", "Honolulu", "K-12", "1958", "Charter" ], [ "Central Middle School", "Honolulu", "6-8", "1926", "nan" ], [ "Dole Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Halau Ku Mana NCPCS", "Honolulu", "6-12", "2000", "charter" ], [ "Jarrett Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Kaimuki Middle School", "Honolulu", "6-8", "1939", "nan" ], [ "Kalakaua Middle School", "Honolulu", "6-8", "1928", "nan" ], [ "Kawananakoa Middle School", "Honolulu", "6-8", "1927", "nan" ], [ "Moanalua Middle School", "Honolulu", "7-8", "1967", "nan" ], [ "Niu Valley Middle School", "Honolulu", "6-8", "1955", "nan" ], [ "Stevenson Middle School", "Honolulu", "6-8", "1937", "nan" ], [ "Washington Middle School", "Honolulu", "6-8", "1854", "nan" ] ]
[ "Halau Ku Mana NCPCS" ]
between aliamanu intermediate school and halau ku mana ncpcs, which is chartered? || what are their charter notes? | what are all the school names?
ns-2076
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
table_csv/203_592.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are the names of all of the ivy league institutions?" ]
0
brown university, columbia university, cornell university, dartmouth college, harvard university, princeton university, university of pennsylvania, yale university
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
what are the names of all of the ivy league institutions?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 billion (9th)", "3,763", "In lumine Tuo videbimus lumen (In Th" ], [ "Cornell University", "Ithaca, New York", "Big Red", "13,931", "6,702", "20,633", "$5.3 billion (18th)", "2,908", "I would found an institution where any person can find instruction in any study." ], [ "Dartmouth College", "Hanover, New Hampshire", "Big Green", "4,248", "1,893", "6,141", "$3.7 billion (22nd)", "571", "Vox clamantis in deserto (The voice of one crying" ], [ "Harvard University", "Cambridge, Massachusetts", "Crimson", "7,181", "14,044", "21,225", "$32.3 billion (1st)", "4,671", "Veritas (Truth)" ], [ "Princeton University", "Princeton, New Jersey", "Tigers", "5,113", "2,479", "7,592", "$18.2 billion (5th)", "1,172", "Dei sub numine viget (Under God's power she" ], [ "University of Pennsylvania", "Philadelphia, Pennsylvania", "Quakers", "10,337", "10,306", "20,643", "$7.7 billion (11th)", "4,464", "Leges sine moribus vanae (Laws without moral" ], [ "Yale University", "New Haven, Connecticut", "Bulldogs", "5,275", "6,391", "11,666", "$20.8 billion (2nd)", "4,140", "vrym vtvmym Lux et ver" ] ]
[ "Brown University", "Columbia University", "Cornell University", "Dartmouth College", "Harvard University", "Princeton University", "University of Pennsylvania", "Yale University" ]
what are the names of all of the ivy league institutions? ||
ns-2076
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
table_csv/203_592.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what are the names of all of the ivy league institutions?", "what is the graduate enrollment number for each institution?" ]
0
2,333, 15,760, 6,702, 1,893, 14,044, 2,479, 10,306, 6,391
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
what is the graduate enrollment number for each institution?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 billion (9th)", "3,763", "In lumine Tuo videbimus lumen (In Th" ], [ "Cornell University", "Ithaca, New York", "Big Red", "13,931", "6,702", "20,633", "$5.3 billion (18th)", "2,908", "I would found an institution where any person can find instruction in any study." ], [ "Dartmouth College", "Hanover, New Hampshire", "Big Green", "4,248", "1,893", "6,141", "$3.7 billion (22nd)", "571", "Vox clamantis in deserto (The voice of one crying" ], [ "Harvard University", "Cambridge, Massachusetts", "Crimson", "7,181", "14,044", "21,225", "$32.3 billion (1st)", "4,671", "Veritas (Truth)" ], [ "Princeton University", "Princeton, New Jersey", "Tigers", "5,113", "2,479", "7,592", "$18.2 billion (5th)", "1,172", "Dei sub numine viget (Under God's power she" ], [ "University of Pennsylvania", "Philadelphia, Pennsylvania", "Quakers", "10,337", "10,306", "20,643", "$7.7 billion (11th)", "4,464", "Leges sine moribus vanae (Laws without moral" ], [ "Yale University", "New Haven, Connecticut", "Bulldogs", "5,275", "6,391", "11,666", "$20.8 billion (2nd)", "4,140", "vrym vtvmym Lux et ver" ] ]
[ "2,333", "15,760", "6,702", "1,893", "14,044", "2,479", "10,306", "6,391" ]
what is the graduate enrollment number for each institution? || what are the names of all of the ivy league institutions?
ns-2076
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
table_csv/203_592.csv
2
{ "column_index": [ 4 ], "row_index": [ 3 ] }
[ "what are the names of all of the ivy league institutions?", "what is the graduate enrollment number for each institution?", "what is darkmouths enrollment amount?" ]
0
1,893
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
what is darkmouths enrollment amount?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 billion (9th)", "3,763", "In lumine Tuo videbimus lumen (In Th" ], [ "Cornell University", "Ithaca, New York", "Big Red", "13,931", "6,702", "20,633", "$5.3 billion (18th)", "2,908", "I would found an institution where any person can find instruction in any study." ], [ "Dartmouth College", "Hanover, New Hampshire", "Big Green", "4,248", "1,893", "6,141", "$3.7 billion (22nd)", "571", "Vox clamantis in deserto (The voice of one crying" ], [ "Harvard University", "Cambridge, Massachusetts", "Crimson", "7,181", "14,044", "21,225", "$32.3 billion (1st)", "4,671", "Veritas (Truth)" ], [ "Princeton University", "Princeton, New Jersey", "Tigers", "5,113", "2,479", "7,592", "$18.2 billion (5th)", "1,172", "Dei sub numine viget (Under God's power she" ], [ "University of Pennsylvania", "Philadelphia, Pennsylvania", "Quakers", "10,337", "10,306", "20,643", "$7.7 billion (11th)", "4,464", "Leges sine moribus vanae (Laws without moral" ], [ "Yale University", "New Haven, Connecticut", "Bulldogs", "5,275", "6,391", "11,666", "$20.8 billion (2nd)", "4,140", "vrym vtvmym Lux et ver" ] ]
[ "1,893" ]
what is darkmouths enrollment amount? || what is the graduate enrollment number for each institution? | what are the names of all of the ivy league institutions?
ns-2076
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
table_csv/203_592.csv
0
{ "column_index": [ 6, 6 ], "row_index": [ 0, 3 ] }
[ "what endowments are under 4.0 billion?" ]
1
$2.7 billion (30th), $3.7 billion (22nd)
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
what endowments are under 4.0 billion?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 billion (9th)", "3,763", "In lumine Tuo videbimus lumen (In Th" ], [ "Cornell University", "Ithaca, New York", "Big Red", "13,931", "6,702", "20,633", "$5.3 billion (18th)", "2,908", "I would found an institution where any person can find instruction in any study." ], [ "Dartmouth College", "Hanover, New Hampshire", "Big Green", "4,248", "1,893", "6,141", "$3.7 billion (22nd)", "571", "Vox clamantis in deserto (The voice of one crying" ], [ "Harvard University", "Cambridge, Massachusetts", "Crimson", "7,181", "14,044", "21,225", "$32.3 billion (1st)", "4,671", "Veritas (Truth)" ], [ "Princeton University", "Princeton, New Jersey", "Tigers", "5,113", "2,479", "7,592", "$18.2 billion (5th)", "1,172", "Dei sub numine viget (Under God's power she" ], [ "University of Pennsylvania", "Philadelphia, Pennsylvania", "Quakers", "10,337", "10,306", "20,643", "$7.7 billion (11th)", "4,464", "Leges sine moribus vanae (Laws without moral" ], [ "Yale University", "New Haven, Connecticut", "Bulldogs", "5,275", "6,391", "11,666", "$20.8 billion (2nd)", "4,140", "vrym vtvmym Lux et ver" ] ]
[ "$2.7 billion (30th)", "$3.7 billion (22nd)" ]
what endowments are under 4.0 billion? ||
ns-2076
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
table_csv/203_592.csv
1
{ "column_index": [ 1 ], "row_index": [ 3 ] }
[ "what endowments are under 4.0 billion?", "what location is in new hampshire?" ]
1
hanover, new hampshire
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
what location is in new hampshire?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 billion (9th)", "3,763", "In lumine Tuo videbimus lumen (In Th" ], [ "Cornell University", "Ithaca, New York", "Big Red", "13,931", "6,702", "20,633", "$5.3 billion (18th)", "2,908", "I would found an institution where any person can find instruction in any study." ], [ "Dartmouth College", "Hanover, New Hampshire", "Big Green", "4,248", "1,893", "6,141", "$3.7 billion (22nd)", "571", "Vox clamantis in deserto (The voice of one crying" ], [ "Harvard University", "Cambridge, Massachusetts", "Crimson", "7,181", "14,044", "21,225", "$32.3 billion (1st)", "4,671", "Veritas (Truth)" ], [ "Princeton University", "Princeton, New Jersey", "Tigers", "5,113", "2,479", "7,592", "$18.2 billion (5th)", "1,172", "Dei sub numine viget (Under God's power she" ], [ "University of Pennsylvania", "Philadelphia, Pennsylvania", "Quakers", "10,337", "10,306", "20,643", "$7.7 billion (11th)", "4,464", "Leges sine moribus vanae (Laws without moral" ], [ "Yale University", "New Haven, Connecticut", "Bulldogs", "5,275", "6,391", "11,666", "$20.8 billion (2nd)", "4,140", "vrym vtvmym Lux et ver" ] ]
[ "Hanover, New Hampshire" ]
what location is in new hampshire? || what endowments are under 4.0 billion?
ns-2076
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
table_csv/203_592.csv
2
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "what endowments are under 4.0 billion?", "what location is in new hampshire?", "what is the name of the college?" ]
1
dartmouth college
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
what is the name of the college?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 billion (9th)", "3,763", "In lumine Tuo videbimus lumen (In Th" ], [ "Cornell University", "Ithaca, New York", "Big Red", "13,931", "6,702", "20,633", "$5.3 billion (18th)", "2,908", "I would found an institution where any person can find instruction in any study." ], [ "Dartmouth College", "Hanover, New Hampshire", "Big Green", "4,248", "1,893", "6,141", "$3.7 billion (22nd)", "571", "Vox clamantis in deserto (The voice of one crying" ], [ "Harvard University", "Cambridge, Massachusetts", "Crimson", "7,181", "14,044", "21,225", "$32.3 billion (1st)", "4,671", "Veritas (Truth)" ], [ "Princeton University", "Princeton, New Jersey", "Tigers", "5,113", "2,479", "7,592", "$18.2 billion (5th)", "1,172", "Dei sub numine viget (Under God's power she" ], [ "University of Pennsylvania", "Philadelphia, Pennsylvania", "Quakers", "10,337", "10,306", "20,643", "$7.7 billion (11th)", "4,464", "Leges sine moribus vanae (Laws without moral" ], [ "Yale University", "New Haven, Connecticut", "Bulldogs", "5,275", "6,391", "11,666", "$20.8 billion (2nd)", "4,140", "vrym vtvmym Lux et ver" ] ]
[ "Dartmouth College" ]
what is the name of the college? || what location is in new hampshire? | what endowments are under 4.0 billion?
ns-2076
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
table_csv/203_592.csv
3
{ "column_index": [ 4 ], "row_index": [ 3 ] }
[ "what endowments are under 4.0 billion?", "what location is in new hampshire?", "what is the name of the college?", "what is the graduate enrollment?" ]
1
1,893
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
what is the graduate enrollment?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 billion (9th)", "3,763", "In lumine Tuo videbimus lumen (In Th" ], [ "Cornell University", "Ithaca, New York", "Big Red", "13,931", "6,702", "20,633", "$5.3 billion (18th)", "2,908", "I would found an institution where any person can find instruction in any study." ], [ "Dartmouth College", "Hanover, New Hampshire", "Big Green", "4,248", "1,893", "6,141", "$3.7 billion (22nd)", "571", "Vox clamantis in deserto (The voice of one crying" ], [ "Harvard University", "Cambridge, Massachusetts", "Crimson", "7,181", "14,044", "21,225", "$32.3 billion (1st)", "4,671", "Veritas (Truth)" ], [ "Princeton University", "Princeton, New Jersey", "Tigers", "5,113", "2,479", "7,592", "$18.2 billion (5th)", "1,172", "Dei sub numine viget (Under God's power she" ], [ "University of Pennsylvania", "Philadelphia, Pennsylvania", "Quakers", "10,337", "10,306", "20,643", "$7.7 billion (11th)", "4,464", "Leges sine moribus vanae (Laws without moral" ], [ "Yale University", "New Haven, Connecticut", "Bulldogs", "5,275", "6,391", "11,666", "$20.8 billion (2nd)", "4,140", "vrym vtvmym Lux et ver" ] ]
[ "1,893" ]
what is the graduate enrollment? || what is the name of the college? | what location is in new hampshire? | what endowments are under 4.0 billion?
ns-2076
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
table_csv/203_592.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "which ivy league schools have a graduate program?" ]
2
brown university, columbia university, cornell university, dartmouth college, harvard university, princeton university, university of pennsylvania, yale university
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
which ivy league schools have a graduate program?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 billion (9th)", "3,763", "In lumine Tuo videbimus lumen (In Th" ], [ "Cornell University", "Ithaca, New York", "Big Red", "13,931", "6,702", "20,633", "$5.3 billion (18th)", "2,908", "I would found an institution where any person can find instruction in any study." ], [ "Dartmouth College", "Hanover, New Hampshire", "Big Green", "4,248", "1,893", "6,141", "$3.7 billion (22nd)", "571", "Vox clamantis in deserto (The voice of one crying" ], [ "Harvard University", "Cambridge, Massachusetts", "Crimson", "7,181", "14,044", "21,225", "$32.3 billion (1st)", "4,671", "Veritas (Truth)" ], [ "Princeton University", "Princeton, New Jersey", "Tigers", "5,113", "2,479", "7,592", "$18.2 billion (5th)", "1,172", "Dei sub numine viget (Under God's power she" ], [ "University of Pennsylvania", "Philadelphia, Pennsylvania", "Quakers", "10,337", "10,306", "20,643", "$7.7 billion (11th)", "4,464", "Leges sine moribus vanae (Laws without moral" ], [ "Yale University", "New Haven, Connecticut", "Bulldogs", "5,275", "6,391", "11,666", "$20.8 billion (2nd)", "4,140", "vrym vtvmym Lux et ver" ] ]
[ "Brown University", "Columbia University", "Cornell University", "Dartmouth College", "Harvard University", "Princeton University", "University of Pennsylvania", "Yale University" ]
which ivy league schools have a graduate program? ||
ns-2076
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
table_csv/203_592.csv
1
{ "column_index": [ 0, 0, 0 ], "row_index": [ 2, 3, 4 ] }
[ "which ivy league schools have a graduate program?", "of these schools, which ones go by an athletic nickname that includes the name of a color?" ]
2
cornell university, dartmouth college, harvard university
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
of these schools, which ones go by an athletic nickname that includes the name of a color?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 billion (9th)", "3,763", "In lumine Tuo videbimus lumen (In Th" ], [ "Cornell University", "Ithaca, New York", "Big Red", "13,931", "6,702", "20,633", "$5.3 billion (18th)", "2,908", "I would found an institution where any person can find instruction in any study." ], [ "Dartmouth College", "Hanover, New Hampshire", "Big Green", "4,248", "1,893", "6,141", "$3.7 billion (22nd)", "571", "Vox clamantis in deserto (The voice of one crying" ], [ "Harvard University", "Cambridge, Massachusetts", "Crimson", "7,181", "14,044", "21,225", "$32.3 billion (1st)", "4,671", "Veritas (Truth)" ], [ "Princeton University", "Princeton, New Jersey", "Tigers", "5,113", "2,479", "7,592", "$18.2 billion (5th)", "1,172", "Dei sub numine viget (Under God's power she" ], [ "University of Pennsylvania", "Philadelphia, Pennsylvania", "Quakers", "10,337", "10,306", "20,643", "$7.7 billion (11th)", "4,464", "Leges sine moribus vanae (Laws without moral" ], [ "Yale University", "New Haven, Connecticut", "Bulldogs", "5,275", "6,391", "11,666", "$20.8 billion (2nd)", "4,140", "vrym vtvmym Lux et ver" ] ]
[ "Cornell University", "Dartmouth College", "Harvard University" ]
of these schools, which ones go by an athletic nickname that includes the name of a color? || which ivy league schools have a graduate program?
ns-2076
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
table_csv/203_592.csv
2
{ "column_index": [ 0 ], "row_index": [ 3 ] }
[ "which ivy league schools have a graduate program?", "of these schools, which ones go by an athletic nickname that includes the name of a color?", "of these schools, which one has the lowest graduate enrollment?" ]
2
dartmouth college
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
of these schools, which one has the lowest graduate enrollment?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 billion (9th)", "3,763", "In lumine Tuo videbimus lumen (In Th" ], [ "Cornell University", "Ithaca, New York", "Big Red", "13,931", "6,702", "20,633", "$5.3 billion (18th)", "2,908", "I would found an institution where any person can find instruction in any study." ], [ "Dartmouth College", "Hanover, New Hampshire", "Big Green", "4,248", "1,893", "6,141", "$3.7 billion (22nd)", "571", "Vox clamantis in deserto (The voice of one crying" ], [ "Harvard University", "Cambridge, Massachusetts", "Crimson", "7,181", "14,044", "21,225", "$32.3 billion (1st)", "4,671", "Veritas (Truth)" ], [ "Princeton University", "Princeton, New Jersey", "Tigers", "5,113", "2,479", "7,592", "$18.2 billion (5th)", "1,172", "Dei sub numine viget (Under God's power she" ], [ "University of Pennsylvania", "Philadelphia, Pennsylvania", "Quakers", "10,337", "10,306", "20,643", "$7.7 billion (11th)", "4,464", "Leges sine moribus vanae (Laws without moral" ], [ "Yale University", "New Haven, Connecticut", "Bulldogs", "5,275", "6,391", "11,666", "$20.8 billion (2nd)", "4,140", "vrym vtvmym Lux et ver" ] ]
[ "Dartmouth College" ]
of these schools, which one has the lowest graduate enrollment? || of these schools, which ones go by an athletic nickname that includes the name of a color? | which ivy league schools have a graduate program?
ns-2076
col : institution | location | athletic nickname | undergraduate enrollment | graduate enrollment | total enrollment | 2013 endowment (and us rank) | academic staff | motto row 1 : brown university | providence, rhode island | bears | 6,316 | 2,333 | 8,649 | $2.7 billion (30th) | 736 | in deo speramus (in god we hope) row 2 : columbia university | new york, new york | lions | 7,160 | 15,760 | 22,920 | $8.2 billion (9th) | 3,763 | in lumine tuo videbimus lumen (in th row 3 : cornell university | ithaca, new york | big red | 13,931 | 6,702 | 20,633 | $5.3 billion (18th) | 2,908 | i would found an institution where any person can find instruction in any study. row 4 : dartmouth college | hanover, new hampshire | big green | 4,248 | 1,893 | 6,141 | $3.7 billion (22nd) | 571 | vox clamantis in deserto (the voice of one crying row 5 : harvard university | cambridge, massachusetts | crimson | 7,181 | 14,044 | 21,225 | $32.3 billion (1st) | 4,671 | veritas (truth) row 6 : princeton university | princeton, new jersey | tigers | 5,113 | 2,479 | 7,592 | $18.2 billion (5th) | 1,172 | dei sub numine viget (under god's power she row 7 : university of pennsylvania | philadelphia, pennsylvania | quakers | 10,337 | 10,306 | 20,643 | $7.7 billion (11th) | 4,464 | leges sine moribus vanae (laws without moral row 8 : yale university | new haven, connecticut | bulldogs | 5,275 | 6,391 | 11,666 | $20.8 billion (2nd) | 4,140 | vrym vtvmym lux et ver
table_csv/203_592.csv
3
{ "column_index": [ 4 ], "row_index": [ 3 ] }
[ "which ivy league schools have a graduate program?", "of these schools, which ones go by an athletic nickname that includes the name of a color?", "of these schools, which one has the lowest graduate enrollment?", "how many students are enrolled in this school's graduate school program?" ]
2
1,893
[ "Institution", "Location", "Athletic nickname", "Undergraduate enrollment", "Graduate enrollment", "Total enrollment", "2013 Endowment (and US rank)", "Academic staff", "Motto" ]
how many students are enrolled in this school's graduate school program?
[ [ "Brown University", "Providence, Rhode Island", "Bears", "6,316", "2,333", "8,649", "$2.7 billion (30th)", "736", "In Deo Speramus (In God We Hope)" ], [ "Columbia University", "New York, New York", "Lions", "7,160", "15,760", "22,920", "$8.2 billion (9th)", "3,763", "In lumine Tuo videbimus lumen (In Th" ], [ "Cornell University", "Ithaca, New York", "Big Red", "13,931", "6,702", "20,633", "$5.3 billion (18th)", "2,908", "I would found an institution where any person can find instruction in any study." ], [ "Dartmouth College", "Hanover, New Hampshire", "Big Green", "4,248", "1,893", "6,141", "$3.7 billion (22nd)", "571", "Vox clamantis in deserto (The voice of one crying" ], [ "Harvard University", "Cambridge, Massachusetts", "Crimson", "7,181", "14,044", "21,225", "$32.3 billion (1st)", "4,671", "Veritas (Truth)" ], [ "Princeton University", "Princeton, New Jersey", "Tigers", "5,113", "2,479", "7,592", "$18.2 billion (5th)", "1,172", "Dei sub numine viget (Under God's power she" ], [ "University of Pennsylvania", "Philadelphia, Pennsylvania", "Quakers", "10,337", "10,306", "20,643", "$7.7 billion (11th)", "4,464", "Leges sine moribus vanae (Laws without moral" ], [ "Yale University", "New Haven, Connecticut", "Bulldogs", "5,275", "6,391", "11,666", "$20.8 billion (2nd)", "4,140", "vrym vtvmym Lux et ver" ] ]
[ "1,893" ]
how many students are enrolled in this school's graduate school program? || of these schools, which one has the lowest graduate enrollment? | of these schools, which ones go by an athletic nickname that includes the name of a color? | which ivy league schools have a graduate program?
ns-2077
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 all of the area names?" ]
0
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 all of the area names?
[ [ "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 all of the area names? ||
ns-2077
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": [ 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 are all of the area names?", "what was the population of those areas in 2011?" ]
0
253,200, 21,708, 30,798, 4,698, 4,755, 15,022, 4,490, 4,819, 4,218, 8,320, 8,472, 5,402, 3,994
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
what was the population of those areas in 2011?
[ [ "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" ] ]
[ "253,200", "21,708", "30,798", "4,698", "4,755", "15,022", "4,490", "4,819", "4,218", "8,320", "8,472", "5,402", "3,994" ]
what was the population of those areas in 2011? || what are all of the area names?
ns-2077
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": [ 0 ], "row_index": [ 0 ] }
[ "what are all of the area names?", "what was the population of those areas in 2011?", "and which area's population was highest?" ]
0
brasov
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
and which area's population was highest?
[ [ "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" ]
and which area's population was highest? || what was the population of those areas in 2011? | what are all of the area names?
ns-2077
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": [ 3 ], "row_index": [ 0 ] }
[ "what was the highest population in the 2011 census?" ]
1
253,200
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
what was the highest population in the 2011 census?
[ [ "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" ] ]
[ "253,200" ]
what was the highest population in the 2011 census? ||
ns-2077
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": [ 0 ], "row_index": [ 0 ] }
[ "what was the highest population in the 2011 census?", "what is that city?" ]
1
brasov
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
what is that city?
[ [ "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" ]
what is that city? || what was the highest population in the 2011 census?
ns-2077
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 the cites 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 the cites 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 the cites in the brasov metropolitan area? ||
ns-2077
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": [ 0 ], "row_index": [ 0 ] }
[ "what are the names of the cites in the brasov metropolitan area?", "who had the highest 2011 number?" ]
2
brasov
[ "Name", "Population (2002 census)", "Population (2007 estimation)", "Population (2011 census)", "Area (km2)", "Density (pop/km2)" ]
who had the highest 2011 number?
[ [ "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" ]
who had the highest 2011 number? || what are the names of the cites in the brasov metropolitan area?
ns-2074
col : rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288 row 2 : 2 | tahiti | 60 | 42 | 42 | 144 row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121 row 4 : 4 | fiji | 33 | 44 | 53 | 130 row 5 : 5 | samoa | 22 | 17 | 34 | 73 row 6 : 6 | nauru | 8 | 10 | 10 | 28 row 7 : 7 | tonga | 4 | 6 | 10 | 20 row 8 : 8 | micronesia | 3 | 0 | 0 | 3 row 9 : 9 | cook islands | 2 | 6 | 4 | 12 row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12 row 11 : 11 | vanuatu | 1 | 8 | 8 | 17 row 12 : 12 | kiribati | 1 | 6 | 6 | 13 row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1 row 14 : 14 | guam | 0 | 6 | 5 | 11 row 15 : 15 | solomon islands | 0 | 5 | 17 | 22 row 16 : 16 | niue | 0 | 3 | 3 | 6 row 17 : 17 | tuvalu | 0 | 2 | 1 | 3 row 18 : 18 | palau | 0 | 1 | 3 | 4 row 19 : 19 | american samoa | 0 | 0 | 0 | 0 row 20 : 19 | marshall islands | 0 | 0 | 0 | 0 row 21 : 19 | norfolk island | 0 | 0 | 0 | 0 row 22 : 19 | tokelau | 0 | 0 | 0 | 0 row 23 : total | total | 305 | 291 | 312 | 908
table_csv/203_612.csv
0
{ "column_index": [ 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 ] }
[ "what are all of the gold medal counts?" ]
0
120, 60, 48, 33, 22, 8, 4, 3, 2, 2, 1, 1, 1, 0
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what are all of the gold medal counts?
[ [ "1", "New Caledonia", "120", "107", "61", "288" ], [ "2", "Tahiti", "60", "42", "42", "144" ], [ "3", "Papua New Guinea", "48", "25", "48", "121" ], [ "4", "Fiji", "33", "44", "53", "130" ], [ "5", "Samoa", "22", "17", "34", "73" ], [ "6", "Nauru", "8", "10", "10", "28" ], [ "7", "Tonga", "4", "6", "10", "20" ], [ "8", "Micronesia", "3", "0", "0", "3" ], [ "9", "Cook Islands", "2", "6", "4", "12" ], [ "10", "Wallis and Futuna", "2", "3", "7", "12" ], [ "11", "Vanuatu", "1", "8", "8", "17" ], [ "12", "Kiribati", "1", "6", "6", "13" ], [ "13", "Northern Mariana Islands", "1", "0", "0", "1" ], [ "14", "Guam", "0", "6", "5", "11" ], [ "15", "Solomon Islands", "0", "5", "17", "22" ], [ "16", "Niue", "0", "3", "3", "6" ], [ "17", "Tuvalu", "0", "2", "1", "3" ], [ "18", "Palau", "0", "1", "3", "4" ], [ "19", "American Samoa", "0", "0", "0", "0" ], [ "19", "Marshall Islands", "0", "0", "0", "0" ], [ "19", "Norfolk Island", "0", "0", "0", "0" ], [ "19", "Tokelau", "0", "0", "0", "0" ], [ "Total", "Total", "305", "291", "312", "908" ] ]
[ "120", "60", "48", "33", "22", "8", "4", "3", "2", "2", "1", "1", "1", "0" ]
what are all of the gold medal counts? ||
ns-2074
col : rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288 row 2 : 2 | tahiti | 60 | 42 | 42 | 144 row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121 row 4 : 4 | fiji | 33 | 44 | 53 | 130 row 5 : 5 | samoa | 22 | 17 | 34 | 73 row 6 : 6 | nauru | 8 | 10 | 10 | 28 row 7 : 7 | tonga | 4 | 6 | 10 | 20 row 8 : 8 | micronesia | 3 | 0 | 0 | 3 row 9 : 9 | cook islands | 2 | 6 | 4 | 12 row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12 row 11 : 11 | vanuatu | 1 | 8 | 8 | 17 row 12 : 12 | kiribati | 1 | 6 | 6 | 13 row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1 row 14 : 14 | guam | 0 | 6 | 5 | 11 row 15 : 15 | solomon islands | 0 | 5 | 17 | 22 row 16 : 16 | niue | 0 | 3 | 3 | 6 row 17 : 17 | tuvalu | 0 | 2 | 1 | 3 row 18 : 18 | palau | 0 | 1 | 3 | 4 row 19 : 19 | american samoa | 0 | 0 | 0 | 0 row 20 : 19 | marshall islands | 0 | 0 | 0 | 0 row 21 : 19 | norfolk island | 0 | 0 | 0 | 0 row 22 : 19 | tokelau | 0 | 0 | 0 | 0 row 23 : total | total | 305 | 291 | 312 | 908
table_csv/203_612.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "what are all of the gold medal counts?", "which countries have a gold medal count that is not 0?" ]
0
new caledonia, tahiti, papua new guinea, fiji, samoa, nauru, tonga, micronesia, cook islands, wallis and futuna, vanuatu, kiribati, northern mariana islands
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries have a gold medal count that is not 0?
[ [ "1", "New Caledonia", "120", "107", "61", "288" ], [ "2", "Tahiti", "60", "42", "42", "144" ], [ "3", "Papua New Guinea", "48", "25", "48", "121" ], [ "4", "Fiji", "33", "44", "53", "130" ], [ "5", "Samoa", "22", "17", "34", "73" ], [ "6", "Nauru", "8", "10", "10", "28" ], [ "7", "Tonga", "4", "6", "10", "20" ], [ "8", "Micronesia", "3", "0", "0", "3" ], [ "9", "Cook Islands", "2", "6", "4", "12" ], [ "10", "Wallis and Futuna", "2", "3", "7", "12" ], [ "11", "Vanuatu", "1", "8", "8", "17" ], [ "12", "Kiribati", "1", "6", "6", "13" ], [ "13", "Northern Mariana Islands", "1", "0", "0", "1" ], [ "14", "Guam", "0", "6", "5", "11" ], [ "15", "Solomon Islands", "0", "5", "17", "22" ], [ "16", "Niue", "0", "3", "3", "6" ], [ "17", "Tuvalu", "0", "2", "1", "3" ], [ "18", "Palau", "0", "1", "3", "4" ], [ "19", "American Samoa", "0", "0", "0", "0" ], [ "19", "Marshall Islands", "0", "0", "0", "0" ], [ "19", "Norfolk Island", "0", "0", "0", "0" ], [ "19", "Tokelau", "0", "0", "0", "0" ], [ "Total", "Total", "305", "291", "312", "908" ] ]
[ "New Caledonia", "Tahiti", "Papua New Guinea", "Fiji", "Samoa", "Nauru", "Tonga", "Micronesia", "Cook Islands", "Wallis and Futuna", "Vanuatu", "Kiribati", "Northern Mariana Islands" ]
which countries have a gold medal count that is not 0? || what are all of the gold medal counts?
ns-2074
col : rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288 row 2 : 2 | tahiti | 60 | 42 | 42 | 144 row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121 row 4 : 4 | fiji | 33 | 44 | 53 | 130 row 5 : 5 | samoa | 22 | 17 | 34 | 73 row 6 : 6 | nauru | 8 | 10 | 10 | 28 row 7 : 7 | tonga | 4 | 6 | 10 | 20 row 8 : 8 | micronesia | 3 | 0 | 0 | 3 row 9 : 9 | cook islands | 2 | 6 | 4 | 12 row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12 row 11 : 11 | vanuatu | 1 | 8 | 8 | 17 row 12 : 12 | kiribati | 1 | 6 | 6 | 13 row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1 row 14 : 14 | guam | 0 | 6 | 5 | 11 row 15 : 15 | solomon islands | 0 | 5 | 17 | 22 row 16 : 16 | niue | 0 | 3 | 3 | 6 row 17 : 17 | tuvalu | 0 | 2 | 1 | 3 row 18 : 18 | palau | 0 | 1 | 3 | 4 row 19 : 19 | american samoa | 0 | 0 | 0 | 0 row 20 : 19 | marshall islands | 0 | 0 | 0 | 0 row 21 : 19 | norfolk island | 0 | 0 | 0 | 0 row 22 : 19 | tokelau | 0 | 0 | 0 | 0 row 23 : total | total | 305 | 291 | 312 | 908
table_csv/203_612.csv
2
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what are all of the gold medal counts?", "which countries have a gold medal count that is not 0?", "which of these countries has the second highest gold medal count?" ]
0
tahiti
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which of these countries has the second highest gold medal count?
[ [ "1", "New Caledonia", "120", "107", "61", "288" ], [ "2", "Tahiti", "60", "42", "42", "144" ], [ "3", "Papua New Guinea", "48", "25", "48", "121" ], [ "4", "Fiji", "33", "44", "53", "130" ], [ "5", "Samoa", "22", "17", "34", "73" ], [ "6", "Nauru", "8", "10", "10", "28" ], [ "7", "Tonga", "4", "6", "10", "20" ], [ "8", "Micronesia", "3", "0", "0", "3" ], [ "9", "Cook Islands", "2", "6", "4", "12" ], [ "10", "Wallis and Futuna", "2", "3", "7", "12" ], [ "11", "Vanuatu", "1", "8", "8", "17" ], [ "12", "Kiribati", "1", "6", "6", "13" ], [ "13", "Northern Mariana Islands", "1", "0", "0", "1" ], [ "14", "Guam", "0", "6", "5", "11" ], [ "15", "Solomon Islands", "0", "5", "17", "22" ], [ "16", "Niue", "0", "3", "3", "6" ], [ "17", "Tuvalu", "0", "2", "1", "3" ], [ "18", "Palau", "0", "1", "3", "4" ], [ "19", "American Samoa", "0", "0", "0", "0" ], [ "19", "Marshall Islands", "0", "0", "0", "0" ], [ "19", "Norfolk Island", "0", "0", "0", "0" ], [ "19", "Tokelau", "0", "0", "0", "0" ], [ "Total", "Total", "305", "291", "312", "908" ] ]
[ "Tahiti" ]
which of these countries has the second highest gold medal count? || which countries have a gold medal count that is not 0? | what are all of the gold medal counts?
ns-2074
col : rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288 row 2 : 2 | tahiti | 60 | 42 | 42 | 144 row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121 row 4 : 4 | fiji | 33 | 44 | 53 | 130 row 5 : 5 | samoa | 22 | 17 | 34 | 73 row 6 : 6 | nauru | 8 | 10 | 10 | 28 row 7 : 7 | tonga | 4 | 6 | 10 | 20 row 8 : 8 | micronesia | 3 | 0 | 0 | 3 row 9 : 9 | cook islands | 2 | 6 | 4 | 12 row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12 row 11 : 11 | vanuatu | 1 | 8 | 8 | 17 row 12 : 12 | kiribati | 1 | 6 | 6 | 13 row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1 row 14 : 14 | guam | 0 | 6 | 5 | 11 row 15 : 15 | solomon islands | 0 | 5 | 17 | 22 row 16 : 16 | niue | 0 | 3 | 3 | 6 row 17 : 17 | tuvalu | 0 | 2 | 1 | 3 row 18 : 18 | palau | 0 | 1 | 3 | 4 row 19 : 19 | american samoa | 0 | 0 | 0 | 0 row 20 : 19 | marshall islands | 0 | 0 | 0 | 0 row 21 : 19 | norfolk island | 0 | 0 | 0 | 0 row 22 : 19 | tokelau | 0 | 0 | 0 | 0 row 23 : total | total | 305 | 291 | 312 | 908
table_csv/203_612.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 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ] }
[ "what are all of the listed nations?" ]
1
new caledonia, tahiti, papua new guinea, fiji, samoa, nauru, tonga, micronesia, cook islands, wallis and futuna, vanuatu, kiribati, northern mariana islands, guam, solomon islands, niue, tuvalu, palau, american samoa, marshall islands, norfolk island, tokelau
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what are all of the listed nations?
[ [ "1", "New Caledonia", "120", "107", "61", "288" ], [ "2", "Tahiti", "60", "42", "42", "144" ], [ "3", "Papua New Guinea", "48", "25", "48", "121" ], [ "4", "Fiji", "33", "44", "53", "130" ], [ "5", "Samoa", "22", "17", "34", "73" ], [ "6", "Nauru", "8", "10", "10", "28" ], [ "7", "Tonga", "4", "6", "10", "20" ], [ "8", "Micronesia", "3", "0", "0", "3" ], [ "9", "Cook Islands", "2", "6", "4", "12" ], [ "10", "Wallis and Futuna", "2", "3", "7", "12" ], [ "11", "Vanuatu", "1", "8", "8", "17" ], [ "12", "Kiribati", "1", "6", "6", "13" ], [ "13", "Northern Mariana Islands", "1", "0", "0", "1" ], [ "14", "Guam", "0", "6", "5", "11" ], [ "15", "Solomon Islands", "0", "5", "17", "22" ], [ "16", "Niue", "0", "3", "3", "6" ], [ "17", "Tuvalu", "0", "2", "1", "3" ], [ "18", "Palau", "0", "1", "3", "4" ], [ "19", "American Samoa", "0", "0", "0", "0" ], [ "19", "Marshall Islands", "0", "0", "0", "0" ], [ "19", "Norfolk Island", "0", "0", "0", "0" ], [ "19", "Tokelau", "0", "0", "0", "0" ], [ "Total", "Total", "305", "291", "312", "908" ] ]
[ "New Caledonia", "Tahiti", "Papua New Guinea", "Fiji", "Samoa", "Nauru", "Tonga", "Micronesia", "Cook Islands", "Wallis and Futuna", "Vanuatu", "Kiribati", "Northern Mariana Islands", "Guam", "Solomon Islands", "Niue", "Tuvalu", "Palau", "American Samoa", "Marshall Islands", "Norfolk Island", "Tokelau" ]
what are all of the listed nations? ||
ns-2074
col : rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288 row 2 : 2 | tahiti | 60 | 42 | 42 | 144 row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121 row 4 : 4 | fiji | 33 | 44 | 53 | 130 row 5 : 5 | samoa | 22 | 17 | 34 | 73 row 6 : 6 | nauru | 8 | 10 | 10 | 28 row 7 : 7 | tonga | 4 | 6 | 10 | 20 row 8 : 8 | micronesia | 3 | 0 | 0 | 3 row 9 : 9 | cook islands | 2 | 6 | 4 | 12 row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12 row 11 : 11 | vanuatu | 1 | 8 | 8 | 17 row 12 : 12 | kiribati | 1 | 6 | 6 | 13 row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1 row 14 : 14 | guam | 0 | 6 | 5 | 11 row 15 : 15 | solomon islands | 0 | 5 | 17 | 22 row 16 : 16 | niue | 0 | 3 | 3 | 6 row 17 : 17 | tuvalu | 0 | 2 | 1 | 3 row 18 : 18 | palau | 0 | 1 | 3 | 4 row 19 : 19 | american samoa | 0 | 0 | 0 | 0 row 20 : 19 | marshall islands | 0 | 0 | 0 | 0 row 21 : 19 | norfolk island | 0 | 0 | 0 | 0 row 22 : 19 | tokelau | 0 | 0 | 0 | 0 row 23 : total | total | 305 | 291 | 312 | 908
table_csv/203_612.csv
1
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ] }
[ "what are all of the listed nations?", "how many gold medals did they earn?" ]
1
120, 60, 48, 33, 22, 8, 4, 3, 2, 2, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many gold medals did they earn?
[ [ "1", "New Caledonia", "120", "107", "61", "288" ], [ "2", "Tahiti", "60", "42", "42", "144" ], [ "3", "Papua New Guinea", "48", "25", "48", "121" ], [ "4", "Fiji", "33", "44", "53", "130" ], [ "5", "Samoa", "22", "17", "34", "73" ], [ "6", "Nauru", "8", "10", "10", "28" ], [ "7", "Tonga", "4", "6", "10", "20" ], [ "8", "Micronesia", "3", "0", "0", "3" ], [ "9", "Cook Islands", "2", "6", "4", "12" ], [ "10", "Wallis and Futuna", "2", "3", "7", "12" ], [ "11", "Vanuatu", "1", "8", "8", "17" ], [ "12", "Kiribati", "1", "6", "6", "13" ], [ "13", "Northern Mariana Islands", "1", "0", "0", "1" ], [ "14", "Guam", "0", "6", "5", "11" ], [ "15", "Solomon Islands", "0", "5", "17", "22" ], [ "16", "Niue", "0", "3", "3", "6" ], [ "17", "Tuvalu", "0", "2", "1", "3" ], [ "18", "Palau", "0", "1", "3", "4" ], [ "19", "American Samoa", "0", "0", "0", "0" ], [ "19", "Marshall Islands", "0", "0", "0", "0" ], [ "19", "Norfolk Island", "0", "0", "0", "0" ], [ "19", "Tokelau", "0", "0", "0", "0" ], [ "Total", "Total", "305", "291", "312", "908" ] ]
[ "120", "60", "48", "33", "22", "8", "4", "3", "2", "2", "1", "1", "1", "0", "0", "0", "0", "0", "0", "0", "0", "0" ]
how many gold medals did they earn? || what are all of the listed nations?
ns-2074
col : rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288 row 2 : 2 | tahiti | 60 | 42 | 42 | 144 row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121 row 4 : 4 | fiji | 33 | 44 | 53 | 130 row 5 : 5 | samoa | 22 | 17 | 34 | 73 row 6 : 6 | nauru | 8 | 10 | 10 | 28 row 7 : 7 | tonga | 4 | 6 | 10 | 20 row 8 : 8 | micronesia | 3 | 0 | 0 | 3 row 9 : 9 | cook islands | 2 | 6 | 4 | 12 row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12 row 11 : 11 | vanuatu | 1 | 8 | 8 | 17 row 12 : 12 | kiribati | 1 | 6 | 6 | 13 row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1 row 14 : 14 | guam | 0 | 6 | 5 | 11 row 15 : 15 | solomon islands | 0 | 5 | 17 | 22 row 16 : 16 | niue | 0 | 3 | 3 | 6 row 17 : 17 | tuvalu | 0 | 2 | 1 | 3 row 18 : 18 | palau | 0 | 1 | 3 | 4 row 19 : 19 | american samoa | 0 | 0 | 0 | 0 row 20 : 19 | marshall islands | 0 | 0 | 0 | 0 row 21 : 19 | norfolk island | 0 | 0 | 0 | 0 row 22 : 19 | tokelau | 0 | 0 | 0 | 0 row 23 : total | total | 305 | 291 | 312 | 908
table_csv/203_612.csv
2
{ "column_index": [ 2 ], "row_index": [ 0 ] }
[ "what are all of the listed nations?", "how many gold medals did they earn?", "what about just new caledonia?" ]
1
120
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what about just new caledonia?
[ [ "1", "New Caledonia", "120", "107", "61", "288" ], [ "2", "Tahiti", "60", "42", "42", "144" ], [ "3", "Papua New Guinea", "48", "25", "48", "121" ], [ "4", "Fiji", "33", "44", "53", "130" ], [ "5", "Samoa", "22", "17", "34", "73" ], [ "6", "Nauru", "8", "10", "10", "28" ], [ "7", "Tonga", "4", "6", "10", "20" ], [ "8", "Micronesia", "3", "0", "0", "3" ], [ "9", "Cook Islands", "2", "6", "4", "12" ], [ "10", "Wallis and Futuna", "2", "3", "7", "12" ], [ "11", "Vanuatu", "1", "8", "8", "17" ], [ "12", "Kiribati", "1", "6", "6", "13" ], [ "13", "Northern Mariana Islands", "1", "0", "0", "1" ], [ "14", "Guam", "0", "6", "5", "11" ], [ "15", "Solomon Islands", "0", "5", "17", "22" ], [ "16", "Niue", "0", "3", "3", "6" ], [ "17", "Tuvalu", "0", "2", "1", "3" ], [ "18", "Palau", "0", "1", "3", "4" ], [ "19", "American Samoa", "0", "0", "0", "0" ], [ "19", "Marshall Islands", "0", "0", "0", "0" ], [ "19", "Norfolk Island", "0", "0", "0", "0" ], [ "19", "Tokelau", "0", "0", "0", "0" ], [ "Total", "Total", "305", "291", "312", "908" ] ]
[ "120" ]
what about just new caledonia? || how many gold medals did they earn? | what are all of the listed nations?
ns-2074
col : rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288 row 2 : 2 | tahiti | 60 | 42 | 42 | 144 row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121 row 4 : 4 | fiji | 33 | 44 | 53 | 130 row 5 : 5 | samoa | 22 | 17 | 34 | 73 row 6 : 6 | nauru | 8 | 10 | 10 | 28 row 7 : 7 | tonga | 4 | 6 | 10 | 20 row 8 : 8 | micronesia | 3 | 0 | 0 | 3 row 9 : 9 | cook islands | 2 | 6 | 4 | 12 row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12 row 11 : 11 | vanuatu | 1 | 8 | 8 | 17 row 12 : 12 | kiribati | 1 | 6 | 6 | 13 row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1 row 14 : 14 | guam | 0 | 6 | 5 | 11 row 15 : 15 | solomon islands | 0 | 5 | 17 | 22 row 16 : 16 | niue | 0 | 3 | 3 | 6 row 17 : 17 | tuvalu | 0 | 2 | 1 | 3 row 18 : 18 | palau | 0 | 1 | 3 | 4 row 19 : 19 | american samoa | 0 | 0 | 0 | 0 row 20 : 19 | marshall islands | 0 | 0 | 0 | 0 row 21 : 19 | norfolk island | 0 | 0 | 0 | 0 row 22 : 19 | tokelau | 0 | 0 | 0 | 0 row 23 : total | total | 305 | 291 | 312 | 908
table_csv/203_612.csv
3
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what are all of the listed nations?", "how many gold medals did they earn?", "what about just new caledonia?", "and which nation came second?" ]
1
tahiti
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
and which nation came second?
[ [ "1", "New Caledonia", "120", "107", "61", "288" ], [ "2", "Tahiti", "60", "42", "42", "144" ], [ "3", "Papua New Guinea", "48", "25", "48", "121" ], [ "4", "Fiji", "33", "44", "53", "130" ], [ "5", "Samoa", "22", "17", "34", "73" ], [ "6", "Nauru", "8", "10", "10", "28" ], [ "7", "Tonga", "4", "6", "10", "20" ], [ "8", "Micronesia", "3", "0", "0", "3" ], [ "9", "Cook Islands", "2", "6", "4", "12" ], [ "10", "Wallis and Futuna", "2", "3", "7", "12" ], [ "11", "Vanuatu", "1", "8", "8", "17" ], [ "12", "Kiribati", "1", "6", "6", "13" ], [ "13", "Northern Mariana Islands", "1", "0", "0", "1" ], [ "14", "Guam", "0", "6", "5", "11" ], [ "15", "Solomon Islands", "0", "5", "17", "22" ], [ "16", "Niue", "0", "3", "3", "6" ], [ "17", "Tuvalu", "0", "2", "1", "3" ], [ "18", "Palau", "0", "1", "3", "4" ], [ "19", "American Samoa", "0", "0", "0", "0" ], [ "19", "Marshall Islands", "0", "0", "0", "0" ], [ "19", "Norfolk Island", "0", "0", "0", "0" ], [ "19", "Tokelau", "0", "0", "0", "0" ], [ "Total", "Total", "305", "291", "312", "908" ] ]
[ "Tahiti" ]
and which nation came second? || what about just new caledonia? | how many gold medals did they earn? | what are all of the listed nations?
ns-2074
col : rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288 row 2 : 2 | tahiti | 60 | 42 | 42 | 144 row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121 row 4 : 4 | fiji | 33 | 44 | 53 | 130 row 5 : 5 | samoa | 22 | 17 | 34 | 73 row 6 : 6 | nauru | 8 | 10 | 10 | 28 row 7 : 7 | tonga | 4 | 6 | 10 | 20 row 8 : 8 | micronesia | 3 | 0 | 0 | 3 row 9 : 9 | cook islands | 2 | 6 | 4 | 12 row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12 row 11 : 11 | vanuatu | 1 | 8 | 8 | 17 row 12 : 12 | kiribati | 1 | 6 | 6 | 13 row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1 row 14 : 14 | guam | 0 | 6 | 5 | 11 row 15 : 15 | solomon islands | 0 | 5 | 17 | 22 row 16 : 16 | niue | 0 | 3 | 3 | 6 row 17 : 17 | tuvalu | 0 | 2 | 1 | 3 row 18 : 18 | palau | 0 | 1 | 3 | 4 row 19 : 19 | american samoa | 0 | 0 | 0 | 0 row 20 : 19 | marshall islands | 0 | 0 | 0 | 0 row 21 : 19 | norfolk island | 0 | 0 | 0 | 0 row 22 : 19 | tokelau | 0 | 0 | 0 | 0 row 23 : total | total | 305 | 291 | 312 | 908
table_csv/203_612.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 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21 ] }
[ "which nations participated in the 2011 pacific games?" ]
2
new caledonia, tahiti, papua new guinea, fiji, samoa, nauru, tonga, micronesia, cook islands, wallis and futuna, vanuatu, kiribati, northern mariana islands, guam, solomon islands, niue, tuvalu, palau, american samoa, marshall islands, norfolk island, tokelau
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which nations participated in the 2011 pacific games?
[ [ "1", "New Caledonia", "120", "107", "61", "288" ], [ "2", "Tahiti", "60", "42", "42", "144" ], [ "3", "Papua New Guinea", "48", "25", "48", "121" ], [ "4", "Fiji", "33", "44", "53", "130" ], [ "5", "Samoa", "22", "17", "34", "73" ], [ "6", "Nauru", "8", "10", "10", "28" ], [ "7", "Tonga", "4", "6", "10", "20" ], [ "8", "Micronesia", "3", "0", "0", "3" ], [ "9", "Cook Islands", "2", "6", "4", "12" ], [ "10", "Wallis and Futuna", "2", "3", "7", "12" ], [ "11", "Vanuatu", "1", "8", "8", "17" ], [ "12", "Kiribati", "1", "6", "6", "13" ], [ "13", "Northern Mariana Islands", "1", "0", "0", "1" ], [ "14", "Guam", "0", "6", "5", "11" ], [ "15", "Solomon Islands", "0", "5", "17", "22" ], [ "16", "Niue", "0", "3", "3", "6" ], [ "17", "Tuvalu", "0", "2", "1", "3" ], [ "18", "Palau", "0", "1", "3", "4" ], [ "19", "American Samoa", "0", "0", "0", "0" ], [ "19", "Marshall Islands", "0", "0", "0", "0" ], [ "19", "Norfolk Island", "0", "0", "0", "0" ], [ "19", "Tokelau", "0", "0", "0", "0" ], [ "Total", "Total", "305", "291", "312", "908" ] ]
[ "New Caledonia", "Tahiti", "Papua New Guinea", "Fiji", "Samoa", "Nauru", "Tonga", "Micronesia", "Cook Islands", "Wallis and Futuna", "Vanuatu", "Kiribati", "Northern Mariana Islands", "Guam", "Solomon Islands", "Niue", "Tuvalu", "Palau", "American Samoa", "Marshall Islands", "Norfolk Island", "Tokelau" ]
which nations participated in the 2011 pacific games? ||
ns-2074
col : rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288 row 2 : 2 | tahiti | 60 | 42 | 42 | 144 row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121 row 4 : 4 | fiji | 33 | 44 | 53 | 130 row 5 : 5 | samoa | 22 | 17 | 34 | 73 row 6 : 6 | nauru | 8 | 10 | 10 | 28 row 7 : 7 | tonga | 4 | 6 | 10 | 20 row 8 : 8 | micronesia | 3 | 0 | 0 | 3 row 9 : 9 | cook islands | 2 | 6 | 4 | 12 row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12 row 11 : 11 | vanuatu | 1 | 8 | 8 | 17 row 12 : 12 | kiribati | 1 | 6 | 6 | 13 row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1 row 14 : 14 | guam | 0 | 6 | 5 | 11 row 15 : 15 | solomon islands | 0 | 5 | 17 | 22 row 16 : 16 | niue | 0 | 3 | 3 | 6 row 17 : 17 | tuvalu | 0 | 2 | 1 | 3 row 18 : 18 | palau | 0 | 1 | 3 | 4 row 19 : 19 | american samoa | 0 | 0 | 0 | 0 row 20 : 19 | marshall islands | 0 | 0 | 0 | 0 row 21 : 19 | norfolk island | 0 | 0 | 0 | 0 row 22 : 19 | tokelau | 0 | 0 | 0 | 0 row 23 : total | total | 305 | 291 | 312 | 908
table_csv/203_612.csv
1
{ "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 nations participated in the 2011 pacific games?", "of these nations, which ones won a gold medal?" ]
2
new caledonia, tahiti, papua new guinea, fiji, samoa, nauru, tonga, micronesia, cook islands, wallis and futuna, vanuatu, kiribati, northern mariana islands
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of these nations, which ones won a gold medal?
[ [ "1", "New Caledonia", "120", "107", "61", "288" ], [ "2", "Tahiti", "60", "42", "42", "144" ], [ "3", "Papua New Guinea", "48", "25", "48", "121" ], [ "4", "Fiji", "33", "44", "53", "130" ], [ "5", "Samoa", "22", "17", "34", "73" ], [ "6", "Nauru", "8", "10", "10", "28" ], [ "7", "Tonga", "4", "6", "10", "20" ], [ "8", "Micronesia", "3", "0", "0", "3" ], [ "9", "Cook Islands", "2", "6", "4", "12" ], [ "10", "Wallis and Futuna", "2", "3", "7", "12" ], [ "11", "Vanuatu", "1", "8", "8", "17" ], [ "12", "Kiribati", "1", "6", "6", "13" ], [ "13", "Northern Mariana Islands", "1", "0", "0", "1" ], [ "14", "Guam", "0", "6", "5", "11" ], [ "15", "Solomon Islands", "0", "5", "17", "22" ], [ "16", "Niue", "0", "3", "3", "6" ], [ "17", "Tuvalu", "0", "2", "1", "3" ], [ "18", "Palau", "0", "1", "3", "4" ], [ "19", "American Samoa", "0", "0", "0", "0" ], [ "19", "Marshall Islands", "0", "0", "0", "0" ], [ "19", "Norfolk Island", "0", "0", "0", "0" ], [ "19", "Tokelau", "0", "0", "0", "0" ], [ "Total", "Total", "305", "291", "312", "908" ] ]
[ "New Caledonia", "Tahiti", "Papua New Guinea", "Fiji", "Samoa", "Nauru", "Tonga", "Micronesia", "Cook Islands", "Wallis and Futuna", "Vanuatu", "Kiribati", "Northern Mariana Islands" ]
of these nations, which ones won a gold medal? || which nations participated in the 2011 pacific games?
ns-2074
col : rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288 row 2 : 2 | tahiti | 60 | 42 | 42 | 144 row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121 row 4 : 4 | fiji | 33 | 44 | 53 | 130 row 5 : 5 | samoa | 22 | 17 | 34 | 73 row 6 : 6 | nauru | 8 | 10 | 10 | 28 row 7 : 7 | tonga | 4 | 6 | 10 | 20 row 8 : 8 | micronesia | 3 | 0 | 0 | 3 row 9 : 9 | cook islands | 2 | 6 | 4 | 12 row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12 row 11 : 11 | vanuatu | 1 | 8 | 8 | 17 row 12 : 12 | kiribati | 1 | 6 | 6 | 13 row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1 row 14 : 14 | guam | 0 | 6 | 5 | 11 row 15 : 15 | solomon islands | 0 | 5 | 17 | 22 row 16 : 16 | niue | 0 | 3 | 3 | 6 row 17 : 17 | tuvalu | 0 | 2 | 1 | 3 row 18 : 18 | palau | 0 | 1 | 3 | 4 row 19 : 19 | american samoa | 0 | 0 | 0 | 0 row 20 : 19 | marshall islands | 0 | 0 | 0 | 0 row 21 : 19 | norfolk island | 0 | 0 | 0 | 0 row 22 : 19 | tokelau | 0 | 0 | 0 | 0 row 23 : total | total | 305 | 291 | 312 | 908
table_csv/203_612.csv
2
{ "column_index": [ 1, 1 ], "row_index": [ 0, 1 ] }
[ "which nations participated in the 2011 pacific games?", "of these nations, which ones won a gold medal?", "of these nations, which ones ranked in the top 2 positions?" ]
2
new caledonia, tahiti
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of these nations, which ones ranked in the top 2 positions?
[ [ "1", "New Caledonia", "120", "107", "61", "288" ], [ "2", "Tahiti", "60", "42", "42", "144" ], [ "3", "Papua New Guinea", "48", "25", "48", "121" ], [ "4", "Fiji", "33", "44", "53", "130" ], [ "5", "Samoa", "22", "17", "34", "73" ], [ "6", "Nauru", "8", "10", "10", "28" ], [ "7", "Tonga", "4", "6", "10", "20" ], [ "8", "Micronesia", "3", "0", "0", "3" ], [ "9", "Cook Islands", "2", "6", "4", "12" ], [ "10", "Wallis and Futuna", "2", "3", "7", "12" ], [ "11", "Vanuatu", "1", "8", "8", "17" ], [ "12", "Kiribati", "1", "6", "6", "13" ], [ "13", "Northern Mariana Islands", "1", "0", "0", "1" ], [ "14", "Guam", "0", "6", "5", "11" ], [ "15", "Solomon Islands", "0", "5", "17", "22" ], [ "16", "Niue", "0", "3", "3", "6" ], [ "17", "Tuvalu", "0", "2", "1", "3" ], [ "18", "Palau", "0", "1", "3", "4" ], [ "19", "American Samoa", "0", "0", "0", "0" ], [ "19", "Marshall Islands", "0", "0", "0", "0" ], [ "19", "Norfolk Island", "0", "0", "0", "0" ], [ "19", "Tokelau", "0", "0", "0", "0" ], [ "Total", "Total", "305", "291", "312", "908" ] ]
[ "New Caledonia", "Tahiti" ]
of these nations, which ones ranked in the top 2 positions? || of these nations, which ones won a gold medal? | which nations participated in the 2011 pacific games?
ns-2074
col : rank | nation | gold | silver | bronze | total row 1 : 1 | new caledonia | 120 | 107 | 61 | 288 row 2 : 2 | tahiti | 60 | 42 | 42 | 144 row 3 : 3 | papua new guinea | 48 | 25 | 48 | 121 row 4 : 4 | fiji | 33 | 44 | 53 | 130 row 5 : 5 | samoa | 22 | 17 | 34 | 73 row 6 : 6 | nauru | 8 | 10 | 10 | 28 row 7 : 7 | tonga | 4 | 6 | 10 | 20 row 8 : 8 | micronesia | 3 | 0 | 0 | 3 row 9 : 9 | cook islands | 2 | 6 | 4 | 12 row 10 : 10 | wallis and futuna | 2 | 3 | 7 | 12 row 11 : 11 | vanuatu | 1 | 8 | 8 | 17 row 12 : 12 | kiribati | 1 | 6 | 6 | 13 row 13 : 13 | northern mariana islands | 1 | 0 | 0 | 1 row 14 : 14 | guam | 0 | 6 | 5 | 11 row 15 : 15 | solomon islands | 0 | 5 | 17 | 22 row 16 : 16 | niue | 0 | 3 | 3 | 6 row 17 : 17 | tuvalu | 0 | 2 | 1 | 3 row 18 : 18 | palau | 0 | 1 | 3 | 4 row 19 : 19 | american samoa | 0 | 0 | 0 | 0 row 20 : 19 | marshall islands | 0 | 0 | 0 | 0 row 21 : 19 | norfolk island | 0 | 0 | 0 | 0 row 22 : 19 | tokelau | 0 | 0 | 0 | 0 row 23 : total | total | 305 | 291 | 312 | 908
table_csv/203_612.csv
3
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which nations participated in the 2011 pacific games?", "of these nations, which ones won a gold medal?", "of these nations, which ones ranked in the top 2 positions?", "of these nations, which one won less gold medals?" ]
2
tahiti
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of these nations, which one won less gold medals?
[ [ "1", "New Caledonia", "120", "107", "61", "288" ], [ "2", "Tahiti", "60", "42", "42", "144" ], [ "3", "Papua New Guinea", "48", "25", "48", "121" ], [ "4", "Fiji", "33", "44", "53", "130" ], [ "5", "Samoa", "22", "17", "34", "73" ], [ "6", "Nauru", "8", "10", "10", "28" ], [ "7", "Tonga", "4", "6", "10", "20" ], [ "8", "Micronesia", "3", "0", "0", "3" ], [ "9", "Cook Islands", "2", "6", "4", "12" ], [ "10", "Wallis and Futuna", "2", "3", "7", "12" ], [ "11", "Vanuatu", "1", "8", "8", "17" ], [ "12", "Kiribati", "1", "6", "6", "13" ], [ "13", "Northern Mariana Islands", "1", "0", "0", "1" ], [ "14", "Guam", "0", "6", "5", "11" ], [ "15", "Solomon Islands", "0", "5", "17", "22" ], [ "16", "Niue", "0", "3", "3", "6" ], [ "17", "Tuvalu", "0", "2", "1", "3" ], [ "18", "Palau", "0", "1", "3", "4" ], [ "19", "American Samoa", "0", "0", "0", "0" ], [ "19", "Marshall Islands", "0", "0", "0", "0" ], [ "19", "Norfolk Island", "0", "0", "0", "0" ], [ "19", "Tokelau", "0", "0", "0", "0" ], [ "Total", "Total", "305", "291", "312", "908" ] ]
[ "Tahiti" ]
of these nations, which one won less gold medals? || of these nations, which ones ranked in the top 2 positions? | of these nations, which ones won a gold medal? | which nations participated in the 2011 pacific games?
nt-838
col : # | wrestlers | reign | date | days held | location | event | notes row 1 : 1 | los perros del mal (bestia 666 and x | 1 | november 28, 2010 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma row 2 : -- | vacated | -- | october 5, 2011 | -- | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple row 3 : 2 | scorpio, jr. and super crazy | 1 | october 22, 2011 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star row 4 : -- | vacated | -- | may 2011 | nan | nan | announced on iwl official's facebook | nan row 5 : 3 | ultimo gladiador and ultimo vampiro | 1 | june 16, 2013 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan row 6 : -- | vacated | -- | november 5, 2011 | nan | nan | the iwl explained that ultimo gladiador its share some days | nan row 7 : 4 | dinamic black & fresero jr. | 1 | november 5, 2013 | 231+ | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo va
table_csv/204_245.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what were the championships?" ]
0
los perros del mal (bestia 666 and x, vacated, scorpio, jr. and super crazy, vacated, ultimo gladiador and ultimo vampiro, vacated, dinamic black & fresero jr.
[ "#", "Wrestlers", "Reign", "Date", "Days held", "Location", "Event", "Notes" ]
what were the championships?
[ [ "1", "Los Perros del Mal (Bestia 666 and X", "1", "November 28, 2010", "311", "Cuautitlan Izcalli, State of Mexico", "IWL House Show", "Los Perros del Mal defeated Los Traumas (Trauma" ], [ "--", "Vacated", "--", "October 5, 2011", "--", "Tlalnepantla, State of Mexico", "Announced on IWL Official's Facebook", "After Bestia 666 and X-Fly had on multiple" ], [ "2", "Scorpio, Jr. and Super Crazy", "1", "October 22, 2011", "580", "Tlalnepantla, State of Mexico", "IWL Oktoberfest", "Scorpio, Jr. & Super Crazy defeated the team of Aero Star" ], [ "--", "Vacated", "--", "May 2011", "nan", "nan", "Announced on IWL Official's Facebook", "nan" ], [ "3", "Ultimo Gladiador and Ultimo Vampiro", "1", "June 16, 2013", "145", "Huehuetoca, State of Mexico", "IWL Oktoberfest", "Defeated Los Piratas (Hijo de Pirata Morgan" ], [ "--", "Vacated", "--", "November 5, 2011", "nan", "nan", "The IWL explained that Ultimo Gladiador its share some days", "nan" ], [ "4", "Dinamic Black & Fresero Jr.", "1", "November 5, 2013", "231+", "Hidalgo, State of Mexico", "Live event", "Defeated Mascara Jr. & Ultimo Va" ] ]
[ "Los Perros del Mal (Bestia 666 and X", "Vacated", "Scorpio, Jr. and Super Crazy", "Vacated", "Ultimo Gladiador and Ultimo Vampiro", "Vacated", "Dinamic Black & Fresero Jr." ]
what were the championships? ||
nt-838
col : # | wrestlers | reign | date | days held | location | event | notes row 1 : 1 | los perros del mal (bestia 666 and x | 1 | november 28, 2010 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma row 2 : -- | vacated | -- | october 5, 2011 | -- | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple row 3 : 2 | scorpio, jr. and super crazy | 1 | october 22, 2011 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star row 4 : -- | vacated | -- | may 2011 | nan | nan | announced on iwl official's facebook | nan row 5 : 3 | ultimo gladiador and ultimo vampiro | 1 | june 16, 2013 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan row 6 : -- | vacated | -- | november 5, 2011 | nan | nan | the iwl explained that ultimo gladiador its share some days | nan row 7 : 4 | dinamic black & fresero jr. | 1 | november 5, 2013 | 231+ | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo va
table_csv/204_245.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 2, 4 ] }
[ "what were the championships?", "which ones took place at iwl oktoberfest?" ]
0
scorpio, jr. and super crazy, ultimo gladiador and ultimo vampiro
[ "#", "Wrestlers", "Reign", "Date", "Days held", "Location", "Event", "Notes" ]
which ones took place at iwl oktoberfest?
[ [ "1", "Los Perros del Mal (Bestia 666 and X", "1", "November 28, 2010", "311", "Cuautitlan Izcalli, State of Mexico", "IWL House Show", "Los Perros del Mal defeated Los Traumas (Trauma" ], [ "--", "Vacated", "--", "October 5, 2011", "--", "Tlalnepantla, State of Mexico", "Announced on IWL Official's Facebook", "After Bestia 666 and X-Fly had on multiple" ], [ "2", "Scorpio, Jr. and Super Crazy", "1", "October 22, 2011", "580", "Tlalnepantla, State of Mexico", "IWL Oktoberfest", "Scorpio, Jr. & Super Crazy defeated the team of Aero Star" ], [ "--", "Vacated", "--", "May 2011", "nan", "nan", "Announced on IWL Official's Facebook", "nan" ], [ "3", "Ultimo Gladiador and Ultimo Vampiro", "1", "June 16, 2013", "145", "Huehuetoca, State of Mexico", "IWL Oktoberfest", "Defeated Los Piratas (Hijo de Pirata Morgan" ], [ "--", "Vacated", "--", "November 5, 2011", "nan", "nan", "The IWL explained that Ultimo Gladiador its share some days", "nan" ], [ "4", "Dinamic Black & Fresero Jr.", "1", "November 5, 2013", "231+", "Hidalgo, State of Mexico", "Live event", "Defeated Mascara Jr. & Ultimo Va" ] ]
[ "Scorpio, Jr. and Super Crazy", "Ultimo Gladiador and Ultimo Vampiro" ]
which ones took place at iwl oktoberfest? || what were the championships?
nt-838
col : # | wrestlers | reign | date | days held | location | event | notes row 1 : 1 | los perros del mal (bestia 666 and x | 1 | november 28, 2010 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma row 2 : -- | vacated | -- | october 5, 2011 | -- | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple row 3 : 2 | scorpio, jr. and super crazy | 1 | october 22, 2011 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star row 4 : -- | vacated | -- | may 2011 | nan | nan | announced on iwl official's facebook | nan row 5 : 3 | ultimo gladiador and ultimo vampiro | 1 | june 16, 2013 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan row 6 : -- | vacated | -- | november 5, 2011 | nan | nan | the iwl explained that ultimo gladiador its share some days | nan row 7 : 4 | dinamic black & fresero jr. | 1 | november 5, 2013 | 231+ | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo va
table_csv/204_245.csv
2
{ "column_index": [ 1 ], "row_index": [ 4 ] }
[ "what were the championships?", "which ones took place at iwl oktoberfest?", "of these, which one is other than scorpio, jr. and super crazy?" ]
0
ultimo gladiador and ultimo vampiro
[ "#", "Wrestlers", "Reign", "Date", "Days held", "Location", "Event", "Notes" ]
of these, which one is other than scorpio, jr. and super crazy?
[ [ "1", "Los Perros del Mal (Bestia 666 and X", "1", "November 28, 2010", "311", "Cuautitlan Izcalli, State of Mexico", "IWL House Show", "Los Perros del Mal defeated Los Traumas (Trauma" ], [ "--", "Vacated", "--", "October 5, 2011", "--", "Tlalnepantla, State of Mexico", "Announced on IWL Official's Facebook", "After Bestia 666 and X-Fly had on multiple" ], [ "2", "Scorpio, Jr. and Super Crazy", "1", "October 22, 2011", "580", "Tlalnepantla, State of Mexico", "IWL Oktoberfest", "Scorpio, Jr. & Super Crazy defeated the team of Aero Star" ], [ "--", "Vacated", "--", "May 2011", "nan", "nan", "Announced on IWL Official's Facebook", "nan" ], [ "3", "Ultimo Gladiador and Ultimo Vampiro", "1", "June 16, 2013", "145", "Huehuetoca, State of Mexico", "IWL Oktoberfest", "Defeated Los Piratas (Hijo de Pirata Morgan" ], [ "--", "Vacated", "--", "November 5, 2011", "nan", "nan", "The IWL explained that Ultimo Gladiador its share some days", "nan" ], [ "4", "Dinamic Black & Fresero Jr.", "1", "November 5, 2013", "231+", "Hidalgo, State of Mexico", "Live event", "Defeated Mascara Jr. & Ultimo Va" ] ]
[ "Ultimo Gladiador and Ultimo Vampiro" ]
of these, which one is other than scorpio, jr. and super crazy? || which ones took place at iwl oktoberfest? | what were the championships?
nt-838
col : # | wrestlers | reign | date | days held | location | event | notes row 1 : 1 | los perros del mal (bestia 666 and x | 1 | november 28, 2010 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma row 2 : -- | vacated | -- | october 5, 2011 | -- | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple row 3 : 2 | scorpio, jr. and super crazy | 1 | october 22, 2011 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star row 4 : -- | vacated | -- | may 2011 | nan | nan | announced on iwl official's facebook | nan row 5 : 3 | ultimo gladiador and ultimo vampiro | 1 | june 16, 2013 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan row 6 : -- | vacated | -- | november 5, 2011 | nan | nan | the iwl explained that ultimo gladiador its share some days | nan row 7 : 4 | dinamic black & fresero jr. | 1 | november 5, 2013 | 231+ | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo va
table_csv/204_245.csv
0
{ "column_index": [ 1, 1 ], "row_index": [ 2, 4 ] }
[ "what are all wrestlers participating in the international wrestling league" ]
1
scorpio, jr. and super crazy, ultimo gladiador and ultimo vampiro
[ "#", "Wrestlers", "Reign", "Date", "Days held", "Location", "Event", "Notes" ]
what are all wrestlers participating in the international wrestling league
[ [ "1", "Los Perros del Mal (Bestia 666 and X", "1", "November 28, 2010", "311", "Cuautitlan Izcalli, State of Mexico", "IWL House Show", "Los Perros del Mal defeated Los Traumas (Trauma" ], [ "--", "Vacated", "--", "October 5, 2011", "--", "Tlalnepantla, State of Mexico", "Announced on IWL Official's Facebook", "After Bestia 666 and X-Fly had on multiple" ], [ "2", "Scorpio, Jr. and Super Crazy", "1", "October 22, 2011", "580", "Tlalnepantla, State of Mexico", "IWL Oktoberfest", "Scorpio, Jr. & Super Crazy defeated the team of Aero Star" ], [ "--", "Vacated", "--", "May 2011", "nan", "nan", "Announced on IWL Official's Facebook", "nan" ], [ "3", "Ultimo Gladiador and Ultimo Vampiro", "1", "June 16, 2013", "145", "Huehuetoca, State of Mexico", "IWL Oktoberfest", "Defeated Los Piratas (Hijo de Pirata Morgan" ], [ "--", "Vacated", "--", "November 5, 2011", "nan", "nan", "The IWL explained that Ultimo Gladiador its share some days", "nan" ], [ "4", "Dinamic Black & Fresero Jr.", "1", "November 5, 2013", "231+", "Hidalgo, State of Mexico", "Live event", "Defeated Mascara Jr. & Ultimo Va" ] ]
[ "Scorpio, Jr. and Super Crazy", "Ultimo Gladiador and Ultimo Vampiro" ]
what are all wrestlers participating in the international wrestling league ||
nt-838
col : # | wrestlers | reign | date | days held | location | event | notes row 1 : 1 | los perros del mal (bestia 666 and x | 1 | november 28, 2010 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma row 2 : -- | vacated | -- | october 5, 2011 | -- | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple row 3 : 2 | scorpio, jr. and super crazy | 1 | october 22, 2011 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star row 4 : -- | vacated | -- | may 2011 | nan | nan | announced on iwl official's facebook | nan row 5 : 3 | ultimo gladiador and ultimo vampiro | 1 | june 16, 2013 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan row 6 : -- | vacated | -- | november 5, 2011 | nan | nan | the iwl explained that ultimo gladiador its share some days | nan row 7 : 4 | dinamic black & fresero jr. | 1 | november 5, 2013 | 231+ | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo va
table_csv/204_245.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what are all wrestlers participating in the international wrestling league", "which of the wrestlers participated in oktoberfest?" ]
1
los perros del mal (bestia 666 and x
[ "#", "Wrestlers", "Reign", "Date", "Days held", "Location", "Event", "Notes" ]
which of the wrestlers participated in oktoberfest?
[ [ "1", "Los Perros del Mal (Bestia 666 and X", "1", "November 28, 2010", "311", "Cuautitlan Izcalli, State of Mexico", "IWL House Show", "Los Perros del Mal defeated Los Traumas (Trauma" ], [ "--", "Vacated", "--", "October 5, 2011", "--", "Tlalnepantla, State of Mexico", "Announced on IWL Official's Facebook", "After Bestia 666 and X-Fly had on multiple" ], [ "2", "Scorpio, Jr. and Super Crazy", "1", "October 22, 2011", "580", "Tlalnepantla, State of Mexico", "IWL Oktoberfest", "Scorpio, Jr. & Super Crazy defeated the team of Aero Star" ], [ "--", "Vacated", "--", "May 2011", "nan", "nan", "Announced on IWL Official's Facebook", "nan" ], [ "3", "Ultimo Gladiador and Ultimo Vampiro", "1", "June 16, 2013", "145", "Huehuetoca, State of Mexico", "IWL Oktoberfest", "Defeated Los Piratas (Hijo de Pirata Morgan" ], [ "--", "Vacated", "--", "November 5, 2011", "nan", "nan", "The IWL explained that Ultimo Gladiador its share some days", "nan" ], [ "4", "Dinamic Black & Fresero Jr.", "1", "November 5, 2013", "231+", "Hidalgo, State of Mexico", "Live event", "Defeated Mascara Jr. & Ultimo Va" ] ]
[ "Los Perros del Mal (Bestia 666 and X" ]
which of the wrestlers participated in oktoberfest? || what are all wrestlers participating in the international wrestling league
nt-838
col : # | wrestlers | reign | date | days held | location | event | notes row 1 : 1 | los perros del mal (bestia 666 and x | 1 | november 28, 2010 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma row 2 : -- | vacated | -- | october 5, 2011 | -- | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple row 3 : 2 | scorpio, jr. and super crazy | 1 | october 22, 2011 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star row 4 : -- | vacated | -- | may 2011 | nan | nan | announced on iwl official's facebook | nan row 5 : 3 | ultimo gladiador and ultimo vampiro | 1 | june 16, 2013 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan row 6 : -- | vacated | -- | november 5, 2011 | nan | nan | the iwl explained that ultimo gladiador its share some days | nan row 7 : 4 | dinamic black & fresero jr. | 1 | november 5, 2013 | 231+ | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo va
table_csv/204_245.csv
2
{ "column_index": [ 1 ], "row_index": [ 4 ] }
[ "what are all wrestlers participating in the international wrestling league", "which of the wrestlers participated in oktoberfest?", "which of these was not scorpio, jr. and super crazy?" ]
1
ultimo gladiador and ultimo vampiro
[ "#", "Wrestlers", "Reign", "Date", "Days held", "Location", "Event", "Notes" ]
which of these was not scorpio, jr. and super crazy?
[ [ "1", "Los Perros del Mal (Bestia 666 and X", "1", "November 28, 2010", "311", "Cuautitlan Izcalli, State of Mexico", "IWL House Show", "Los Perros del Mal defeated Los Traumas (Trauma" ], [ "--", "Vacated", "--", "October 5, 2011", "--", "Tlalnepantla, State of Mexico", "Announced on IWL Official's Facebook", "After Bestia 666 and X-Fly had on multiple" ], [ "2", "Scorpio, Jr. and Super Crazy", "1", "October 22, 2011", "580", "Tlalnepantla, State of Mexico", "IWL Oktoberfest", "Scorpio, Jr. & Super Crazy defeated the team of Aero Star" ], [ "--", "Vacated", "--", "May 2011", "nan", "nan", "Announced on IWL Official's Facebook", "nan" ], [ "3", "Ultimo Gladiador and Ultimo Vampiro", "1", "June 16, 2013", "145", "Huehuetoca, State of Mexico", "IWL Oktoberfest", "Defeated Los Piratas (Hijo de Pirata Morgan" ], [ "--", "Vacated", "--", "November 5, 2011", "nan", "nan", "The IWL explained that Ultimo Gladiador its share some days", "nan" ], [ "4", "Dinamic Black & Fresero Jr.", "1", "November 5, 2013", "231+", "Hidalgo, State of Mexico", "Live event", "Defeated Mascara Jr. & Ultimo Va" ] ]
[ "Ultimo Gladiador and Ultimo Vampiro" ]
which of these was not scorpio, jr. and super crazy? || which of the wrestlers participated in oktoberfest? | what are all wrestlers participating in the international wrestling league
nt-838
col : # | wrestlers | reign | date | days held | location | event | notes row 1 : 1 | los perros del mal (bestia 666 and x | 1 | november 28, 2010 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma row 2 : -- | vacated | -- | october 5, 2011 | -- | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple row 3 : 2 | scorpio, jr. and super crazy | 1 | october 22, 2011 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star row 4 : -- | vacated | -- | may 2011 | nan | nan | announced on iwl official's facebook | nan row 5 : 3 | ultimo gladiador and ultimo vampiro | 1 | june 16, 2013 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan row 6 : -- | vacated | -- | november 5, 2011 | nan | nan | the iwl explained that ultimo gladiador its share some days | nan row 7 : 4 | dinamic black & fresero jr. | 1 | november 5, 2013 | 231+ | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo va
table_csv/204_245.csv
0
{ "column_index": [ 1, 1, 1, 1 ], "row_index": [ 0, 2, 4, 6 ] }
[ "what are the names of all of the wrestlers in the international wrestling league?" ]
2
los perros del mal (bestia 666 and x, scorpio, jr. and super crazy, ultimo gladiador and ultimo vampiro, dinamic black & fresero jr.
[ "#", "Wrestlers", "Reign", "Date", "Days held", "Location", "Event", "Notes" ]
what are the names of all of the wrestlers in the international wrestling league?
[ [ "1", "Los Perros del Mal (Bestia 666 and X", "1", "November 28, 2010", "311", "Cuautitlan Izcalli, State of Mexico", "IWL House Show", "Los Perros del Mal defeated Los Traumas (Trauma" ], [ "--", "Vacated", "--", "October 5, 2011", "--", "Tlalnepantla, State of Mexico", "Announced on IWL Official's Facebook", "After Bestia 666 and X-Fly had on multiple" ], [ "2", "Scorpio, Jr. and Super Crazy", "1", "October 22, 2011", "580", "Tlalnepantla, State of Mexico", "IWL Oktoberfest", "Scorpio, Jr. & Super Crazy defeated the team of Aero Star" ], [ "--", "Vacated", "--", "May 2011", "nan", "nan", "Announced on IWL Official's Facebook", "nan" ], [ "3", "Ultimo Gladiador and Ultimo Vampiro", "1", "June 16, 2013", "145", "Huehuetoca, State of Mexico", "IWL Oktoberfest", "Defeated Los Piratas (Hijo de Pirata Morgan" ], [ "--", "Vacated", "--", "November 5, 2011", "nan", "nan", "The IWL explained that Ultimo Gladiador its share some days", "nan" ], [ "4", "Dinamic Black & Fresero Jr.", "1", "November 5, 2013", "231+", "Hidalgo, State of Mexico", "Live event", "Defeated Mascara Jr. & Ultimo Va" ] ]
[ "Los Perros del Mal (Bestia 666 and X", "Scorpio, Jr. and Super Crazy", "Ultimo Gladiador and Ultimo Vampiro", "Dinamic Black & Fresero Jr." ]
what are the names of all of the wrestlers in the international wrestling league? ||
nt-838
col : # | wrestlers | reign | date | days held | location | event | notes row 1 : 1 | los perros del mal (bestia 666 and x | 1 | november 28, 2010 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma row 2 : -- | vacated | -- | october 5, 2011 | -- | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple row 3 : 2 | scorpio, jr. and super crazy | 1 | october 22, 2011 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star row 4 : -- | vacated | -- | may 2011 | nan | nan | announced on iwl official's facebook | nan row 5 : 3 | ultimo gladiador and ultimo vampiro | 1 | june 16, 2013 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan row 6 : -- | vacated | -- | november 5, 2011 | nan | nan | the iwl explained that ultimo gladiador its share some days | nan row 7 : 4 | dinamic black & fresero jr. | 1 | november 5, 2013 | 231+ | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo va
table_csv/204_245.csv
1
{ "column_index": [ 1 ], "row_index": [ 4 ] }
[ "what are the names of all of the wrestlers in the international wrestling league?", "along with scorpio, jr. and super crazy, which other players were at the iwl oktoberfest?" ]
2
ultimo gladiador and ultimo vampiro
[ "#", "Wrestlers", "Reign", "Date", "Days held", "Location", "Event", "Notes" ]
along with scorpio, jr. and super crazy, which other players were at the iwl oktoberfest?
[ [ "1", "Los Perros del Mal (Bestia 666 and X", "1", "November 28, 2010", "311", "Cuautitlan Izcalli, State of Mexico", "IWL House Show", "Los Perros del Mal defeated Los Traumas (Trauma" ], [ "--", "Vacated", "--", "October 5, 2011", "--", "Tlalnepantla, State of Mexico", "Announced on IWL Official's Facebook", "After Bestia 666 and X-Fly had on multiple" ], [ "2", "Scorpio, Jr. and Super Crazy", "1", "October 22, 2011", "580", "Tlalnepantla, State of Mexico", "IWL Oktoberfest", "Scorpio, Jr. & Super Crazy defeated the team of Aero Star" ], [ "--", "Vacated", "--", "May 2011", "nan", "nan", "Announced on IWL Official's Facebook", "nan" ], [ "3", "Ultimo Gladiador and Ultimo Vampiro", "1", "June 16, 2013", "145", "Huehuetoca, State of Mexico", "IWL Oktoberfest", "Defeated Los Piratas (Hijo de Pirata Morgan" ], [ "--", "Vacated", "--", "November 5, 2011", "nan", "nan", "The IWL explained that Ultimo Gladiador its share some days", "nan" ], [ "4", "Dinamic Black & Fresero Jr.", "1", "November 5, 2013", "231+", "Hidalgo, State of Mexico", "Live event", "Defeated Mascara Jr. & Ultimo Va" ] ]
[ "Ultimo Gladiador and Ultimo Vampiro" ]
along with scorpio, jr. and super crazy, which other players were at the iwl oktoberfest? || what are the names of all of the wrestlers in the international wrestling league?
nt-11159
col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 19.4 | 324 row 5 : perf | right | 20.0 | 113.1 | 24.7 | 285 row 6 : dautphe | left | 8.8 | 41.8 | 37.5 | 245 row 7 : wetschaft | left | 29.0 | 196.2 | 56.3 | 192 row 8 : ohm | left | 59.7 | 983.8 | 58.7 | 188 row 9 : allna | right | 19.1 | 92.0 | 77.1 | 172 row 10 : zwester ohm | left | 20.0 | 69.5 | 84.0 | 165 row 11 : salzbode | right | 27.6 | 137.8 | 87.4 | 164 row 12 : lumda | left | 30.0 | 131.5 | 93.6 | 160 row 13 : wieseck | left | 24.3 | 119.6 | 102.2 | 155 row 14 : bieber | right | 13.6 | 34.7 | 105.1 | 151 row 15 : kleebach | left | 26.9 | 164.6 | 106.2 | 150 row 16 : wetzbach | left | 11.7 | 32.9 | 119.6 | 147 row 17 : dill | right | 55.0 | 717.7 | 120.4 | 147 row 18 : solmsbach | left | 24.6 | 112.5 | 128.1 | 141 row 19 : iserbach (mottbach) | left | 19.2 | 31.2 | 131.4 | 139 row 20 : ulmbach | right | 22.9 | 60.9 | 138.2 | 135 row 21 : kallenbach | right | 14.6 | 84.7 | 141.3 | 132 row 22 : weil | left | 46.6 | 247.9 | 149.4 | 130 row 23 : kerkerbach | right | 20.7 | 70.2 | 176.0 | 112 row 24 : emsbach | left | 39.1 | 321.8 | 181.0 | 110 row 25 : elbbach | right | 40.7 | 323.7 | nan | 109 row 26 : aar | left | 49.7 | 312.6 | nan | 103 row 27 : dorsbach | left | 32.0 | 114.0 | nan | 94 row 28 : gelbach (aubach) | right | 39.7 | 221.2 | nan | 93 row 29 : muhlbach | left | 32.1 | 171.9 | nan | 85 row 30 : emsbach | right | 11.5 | 29.4 | nan | 75
table_csv/201_46.csv
0
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3 ] }
[ "which lahn's exceed 300m?" ]
0
feudinge (ruppersbach), ilse, banfe, laasphe
[ "Name", "Position", "Length [km]", "Drainage basin area [km2]", "Confluence [by Lahn-km]", "Mouth elevation [m above MSL]" ]
which lahn's exceed 300m?
[ [ "Feudinge (Ruppersbach)", "left", "6.3", "21.2", "9.8", "388" ], [ "Ilse", "right", "8.4", "11.8", "10.5", "382" ], [ "Banfe", "right", "11.5", "38.9", "18.5", "326" ], [ "Laasphe", "left", "8.3", "19.6", "19.4", "324" ], [ "Perf", "right", "20.0", "113.1", "24.7", "285" ], [ "Dautphe", "left", "8.8", "41.8", "37.5", "245" ], [ "Wetschaft", "left", "29.0", "196.2", "56.3", "192" ], [ "Ohm", "left", "59.7", "983.8", "58.7", "188" ], [ "Allna", "right", "19.1", "92.0", "77.1", "172" ], [ "Zwester Ohm", "left", "20.0", "69.5", "84.0", "165" ], [ "Salzbode", "right", "27.6", "137.8", "87.4", "164" ], [ "Lumda", "left", "30.0", "131.5", "93.6", "160" ], [ "Wieseck", "left", "24.3", "119.6", "102.2", "155" ], [ "Bieber", "right", "13.6", "34.7", "105.1", "151" ], [ "Kleebach", "left", "26.9", "164.6", "106.2", "150" ], [ "Wetzbach", "left", "11.7", "32.9", "119.6", "147" ], [ "Dill", "right", "55.0", "717.7", "120.4", "147" ], [ "Solmsbach", "left", "24.6", "112.5", "128.1", "141" ], [ "Iserbach (Mottbach)", "left", "19.2", "31.2", "131.4", "139" ], [ "Ulmbach", "right", "22.9", "60.9", "138.2", "135" ], [ "Kallenbach", "right", "14.6", "84.7", "141.3", "132" ], [ "Weil", "left", "46.6", "247.9", "149.4", "130" ], [ "Kerkerbach", "right", "20.7", "70.2", "176.0", "112" ], [ "Emsbach", "left", "39.1", "321.8", "181.0", "110" ], [ "Elbbach", "right", "40.7", "323.7", "nan", "109" ], [ "Aar", "left", "49.7", "312.6", "nan", "103" ], [ "Dorsbach", "left", "32.0", "114.0", "nan", "94" ], [ "Gelbach (Aubach)", "right", "39.7", "221.2", "nan", "93" ], [ "Muhlbach", "left", "32.1", "171.9", "nan", "85" ], [ "Emsbach", "right", "11.5", "29.4", "nan", "75" ] ]
[ "Feudinge (Ruppersbach)", "Ilse", "Banfe", "Laasphe" ]
which lahn's exceed 300m? ||
nt-11159
col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 19.4 | 324 row 5 : perf | right | 20.0 | 113.1 | 24.7 | 285 row 6 : dautphe | left | 8.8 | 41.8 | 37.5 | 245 row 7 : wetschaft | left | 29.0 | 196.2 | 56.3 | 192 row 8 : ohm | left | 59.7 | 983.8 | 58.7 | 188 row 9 : allna | right | 19.1 | 92.0 | 77.1 | 172 row 10 : zwester ohm | left | 20.0 | 69.5 | 84.0 | 165 row 11 : salzbode | right | 27.6 | 137.8 | 87.4 | 164 row 12 : lumda | left | 30.0 | 131.5 | 93.6 | 160 row 13 : wieseck | left | 24.3 | 119.6 | 102.2 | 155 row 14 : bieber | right | 13.6 | 34.7 | 105.1 | 151 row 15 : kleebach | left | 26.9 | 164.6 | 106.2 | 150 row 16 : wetzbach | left | 11.7 | 32.9 | 119.6 | 147 row 17 : dill | right | 55.0 | 717.7 | 120.4 | 147 row 18 : solmsbach | left | 24.6 | 112.5 | 128.1 | 141 row 19 : iserbach (mottbach) | left | 19.2 | 31.2 | 131.4 | 139 row 20 : ulmbach | right | 22.9 | 60.9 | 138.2 | 135 row 21 : kallenbach | right | 14.6 | 84.7 | 141.3 | 132 row 22 : weil | left | 46.6 | 247.9 | 149.4 | 130 row 23 : kerkerbach | right | 20.7 | 70.2 | 176.0 | 112 row 24 : emsbach | left | 39.1 | 321.8 | 181.0 | 110 row 25 : elbbach | right | 40.7 | 323.7 | nan | 109 row 26 : aar | left | 49.7 | 312.6 | nan | 103 row 27 : dorsbach | left | 32.0 | 114.0 | nan | 94 row 28 : gelbach (aubach) | right | 39.7 | 221.2 | nan | 93 row 29 : muhlbach | left | 32.1 | 171.9 | nan | 85 row 30 : emsbach | right | 11.5 | 29.4 | nan | 75
table_csv/201_46.csv
1
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "which lahn's exceed 300m?", "of these four, which also exceeds 10km?" ]
0
banfe
[ "Name", "Position", "Length [km]", "Drainage basin area [km2]", "Confluence [by Lahn-km]", "Mouth elevation [m above MSL]" ]
of these four, which also exceeds 10km?
[ [ "Feudinge (Ruppersbach)", "left", "6.3", "21.2", "9.8", "388" ], [ "Ilse", "right", "8.4", "11.8", "10.5", "382" ], [ "Banfe", "right", "11.5", "38.9", "18.5", "326" ], [ "Laasphe", "left", "8.3", "19.6", "19.4", "324" ], [ "Perf", "right", "20.0", "113.1", "24.7", "285" ], [ "Dautphe", "left", "8.8", "41.8", "37.5", "245" ], [ "Wetschaft", "left", "29.0", "196.2", "56.3", "192" ], [ "Ohm", "left", "59.7", "983.8", "58.7", "188" ], [ "Allna", "right", "19.1", "92.0", "77.1", "172" ], [ "Zwester Ohm", "left", "20.0", "69.5", "84.0", "165" ], [ "Salzbode", "right", "27.6", "137.8", "87.4", "164" ], [ "Lumda", "left", "30.0", "131.5", "93.6", "160" ], [ "Wieseck", "left", "24.3", "119.6", "102.2", "155" ], [ "Bieber", "right", "13.6", "34.7", "105.1", "151" ], [ "Kleebach", "left", "26.9", "164.6", "106.2", "150" ], [ "Wetzbach", "left", "11.7", "32.9", "119.6", "147" ], [ "Dill", "right", "55.0", "717.7", "120.4", "147" ], [ "Solmsbach", "left", "24.6", "112.5", "128.1", "141" ], [ "Iserbach (Mottbach)", "left", "19.2", "31.2", "131.4", "139" ], [ "Ulmbach", "right", "22.9", "60.9", "138.2", "135" ], [ "Kallenbach", "right", "14.6", "84.7", "141.3", "132" ], [ "Weil", "left", "46.6", "247.9", "149.4", "130" ], [ "Kerkerbach", "right", "20.7", "70.2", "176.0", "112" ], [ "Emsbach", "left", "39.1", "321.8", "181.0", "110" ], [ "Elbbach", "right", "40.7", "323.7", "nan", "109" ], [ "Aar", "left", "49.7", "312.6", "nan", "103" ], [ "Dorsbach", "left", "32.0", "114.0", "nan", "94" ], [ "Gelbach (Aubach)", "right", "39.7", "221.2", "nan", "93" ], [ "Muhlbach", "left", "32.1", "171.9", "nan", "85" ], [ "Emsbach", "right", "11.5", "29.4", "nan", "75" ] ]
[ "Banfe" ]
of these four, which also exceeds 10km? || which lahn's exceed 300m?
nt-11159
col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 19.4 | 324 row 5 : perf | right | 20.0 | 113.1 | 24.7 | 285 row 6 : dautphe | left | 8.8 | 41.8 | 37.5 | 245 row 7 : wetschaft | left | 29.0 | 196.2 | 56.3 | 192 row 8 : ohm | left | 59.7 | 983.8 | 58.7 | 188 row 9 : allna | right | 19.1 | 92.0 | 77.1 | 172 row 10 : zwester ohm | left | 20.0 | 69.5 | 84.0 | 165 row 11 : salzbode | right | 27.6 | 137.8 | 87.4 | 164 row 12 : lumda | left | 30.0 | 131.5 | 93.6 | 160 row 13 : wieseck | left | 24.3 | 119.6 | 102.2 | 155 row 14 : bieber | right | 13.6 | 34.7 | 105.1 | 151 row 15 : kleebach | left | 26.9 | 164.6 | 106.2 | 150 row 16 : wetzbach | left | 11.7 | 32.9 | 119.6 | 147 row 17 : dill | right | 55.0 | 717.7 | 120.4 | 147 row 18 : solmsbach | left | 24.6 | 112.5 | 128.1 | 141 row 19 : iserbach (mottbach) | left | 19.2 | 31.2 | 131.4 | 139 row 20 : ulmbach | right | 22.9 | 60.9 | 138.2 | 135 row 21 : kallenbach | right | 14.6 | 84.7 | 141.3 | 132 row 22 : weil | left | 46.6 | 247.9 | 149.4 | 130 row 23 : kerkerbach | right | 20.7 | 70.2 | 176.0 | 112 row 24 : emsbach | left | 39.1 | 321.8 | 181.0 | 110 row 25 : elbbach | right | 40.7 | 323.7 | nan | 109 row 26 : aar | left | 49.7 | 312.6 | nan | 103 row 27 : dorsbach | left | 32.0 | 114.0 | nan | 94 row 28 : gelbach (aubach) | right | 39.7 | 221.2 | nan | 93 row 29 : muhlbach | left | 32.1 | 171.9 | nan | 85 row 30 : emsbach | right | 11.5 | 29.4 | nan | 75
table_csv/201_46.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ] }
[ "what are all the names?" ]
1
feudinge (ruppersbach), ilse, banfe, laasphe, perf, dautphe, wetschaft, ohm, allna, zwester ohm, salzbode, lumda, wieseck, bieber, kleebach, wetzbach, dill, solmsbach, iserbach (mottbach), ulmbach, kallenbach, weil, kerkerbach, emsbach, elbbach, aar, dorsbach, gelbach (aubach), muhlbach, emsbach
[ "Name", "Position", "Length [km]", "Drainage basin area [km2]", "Confluence [by Lahn-km]", "Mouth elevation [m above MSL]" ]
what are all the names?
[ [ "Feudinge (Ruppersbach)", "left", "6.3", "21.2", "9.8", "388" ], [ "Ilse", "right", "8.4", "11.8", "10.5", "382" ], [ "Banfe", "right", "11.5", "38.9", "18.5", "326" ], [ "Laasphe", "left", "8.3", "19.6", "19.4", "324" ], [ "Perf", "right", "20.0", "113.1", "24.7", "285" ], [ "Dautphe", "left", "8.8", "41.8", "37.5", "245" ], [ "Wetschaft", "left", "29.0", "196.2", "56.3", "192" ], [ "Ohm", "left", "59.7", "983.8", "58.7", "188" ], [ "Allna", "right", "19.1", "92.0", "77.1", "172" ], [ "Zwester Ohm", "left", "20.0", "69.5", "84.0", "165" ], [ "Salzbode", "right", "27.6", "137.8", "87.4", "164" ], [ "Lumda", "left", "30.0", "131.5", "93.6", "160" ], [ "Wieseck", "left", "24.3", "119.6", "102.2", "155" ], [ "Bieber", "right", "13.6", "34.7", "105.1", "151" ], [ "Kleebach", "left", "26.9", "164.6", "106.2", "150" ], [ "Wetzbach", "left", "11.7", "32.9", "119.6", "147" ], [ "Dill", "right", "55.0", "717.7", "120.4", "147" ], [ "Solmsbach", "left", "24.6", "112.5", "128.1", "141" ], [ "Iserbach (Mottbach)", "left", "19.2", "31.2", "131.4", "139" ], [ "Ulmbach", "right", "22.9", "60.9", "138.2", "135" ], [ "Kallenbach", "right", "14.6", "84.7", "141.3", "132" ], [ "Weil", "left", "46.6", "247.9", "149.4", "130" ], [ "Kerkerbach", "right", "20.7", "70.2", "176.0", "112" ], [ "Emsbach", "left", "39.1", "321.8", "181.0", "110" ], [ "Elbbach", "right", "40.7", "323.7", "nan", "109" ], [ "Aar", "left", "49.7", "312.6", "nan", "103" ], [ "Dorsbach", "left", "32.0", "114.0", "nan", "94" ], [ "Gelbach (Aubach)", "right", "39.7", "221.2", "nan", "93" ], [ "Muhlbach", "left", "32.1", "171.9", "nan", "85" ], [ "Emsbach", "right", "11.5", "29.4", "nan", "75" ] ]
[ "Feudinge (Ruppersbach)", "Ilse", "Banfe", "Laasphe", "Perf", "Dautphe", "Wetschaft", "Ohm", "Allna", "Zwester Ohm", "Salzbode", "Lumda", "Wieseck", "Bieber", "Kleebach", "Wetzbach", "Dill", "Solmsbach", "Iserbach (Mottbach)", "Ulmbach", "Kallenbach", "Weil", "Kerkerbach", "Emsbach", "Elbbach", "Aar", "Dorsbach", "Gelbach (Aubach)", "Muhlbach", "Emsbach" ]
what are all the names? ||
nt-11159
col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 19.4 | 324 row 5 : perf | right | 20.0 | 113.1 | 24.7 | 285 row 6 : dautphe | left | 8.8 | 41.8 | 37.5 | 245 row 7 : wetschaft | left | 29.0 | 196.2 | 56.3 | 192 row 8 : ohm | left | 59.7 | 983.8 | 58.7 | 188 row 9 : allna | right | 19.1 | 92.0 | 77.1 | 172 row 10 : zwester ohm | left | 20.0 | 69.5 | 84.0 | 165 row 11 : salzbode | right | 27.6 | 137.8 | 87.4 | 164 row 12 : lumda | left | 30.0 | 131.5 | 93.6 | 160 row 13 : wieseck | left | 24.3 | 119.6 | 102.2 | 155 row 14 : bieber | right | 13.6 | 34.7 | 105.1 | 151 row 15 : kleebach | left | 26.9 | 164.6 | 106.2 | 150 row 16 : wetzbach | left | 11.7 | 32.9 | 119.6 | 147 row 17 : dill | right | 55.0 | 717.7 | 120.4 | 147 row 18 : solmsbach | left | 24.6 | 112.5 | 128.1 | 141 row 19 : iserbach (mottbach) | left | 19.2 | 31.2 | 131.4 | 139 row 20 : ulmbach | right | 22.9 | 60.9 | 138.2 | 135 row 21 : kallenbach | right | 14.6 | 84.7 | 141.3 | 132 row 22 : weil | left | 46.6 | 247.9 | 149.4 | 130 row 23 : kerkerbach | right | 20.7 | 70.2 | 176.0 | 112 row 24 : emsbach | left | 39.1 | 321.8 | 181.0 | 110 row 25 : elbbach | right | 40.7 | 323.7 | nan | 109 row 26 : aar | left | 49.7 | 312.6 | nan | 103 row 27 : dorsbach | left | 32.0 | 114.0 | nan | 94 row 28 : gelbach (aubach) | right | 39.7 | 221.2 | nan | 93 row 29 : muhlbach | left | 32.1 | 171.9 | nan | 85 row 30 : emsbach | right | 11.5 | 29.4 | nan | 75
table_csv/201_46.csv
1
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "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, 26, 27, 28, 29 ] }
[ "what are all the names?", "what are the mouth elevations?" ]
1
388, 382, 326, 324, 285, 245, 192, 188, 172, 165, 164, 160, 155, 151, 150, 147, 147, 141, 139, 135, 132, 130, 112, 110, 109, 103, 94, 93, 85, 75
[ "Name", "Position", "Length [km]", "Drainage basin area [km2]", "Confluence [by Lahn-km]", "Mouth elevation [m above MSL]" ]
what are the mouth elevations?
[ [ "Feudinge (Ruppersbach)", "left", "6.3", "21.2", "9.8", "388" ], [ "Ilse", "right", "8.4", "11.8", "10.5", "382" ], [ "Banfe", "right", "11.5", "38.9", "18.5", "326" ], [ "Laasphe", "left", "8.3", "19.6", "19.4", "324" ], [ "Perf", "right", "20.0", "113.1", "24.7", "285" ], [ "Dautphe", "left", "8.8", "41.8", "37.5", "245" ], [ "Wetschaft", "left", "29.0", "196.2", "56.3", "192" ], [ "Ohm", "left", "59.7", "983.8", "58.7", "188" ], [ "Allna", "right", "19.1", "92.0", "77.1", "172" ], [ "Zwester Ohm", "left", "20.0", "69.5", "84.0", "165" ], [ "Salzbode", "right", "27.6", "137.8", "87.4", "164" ], [ "Lumda", "left", "30.0", "131.5", "93.6", "160" ], [ "Wieseck", "left", "24.3", "119.6", "102.2", "155" ], [ "Bieber", "right", "13.6", "34.7", "105.1", "151" ], [ "Kleebach", "left", "26.9", "164.6", "106.2", "150" ], [ "Wetzbach", "left", "11.7", "32.9", "119.6", "147" ], [ "Dill", "right", "55.0", "717.7", "120.4", "147" ], [ "Solmsbach", "left", "24.6", "112.5", "128.1", "141" ], [ "Iserbach (Mottbach)", "left", "19.2", "31.2", "131.4", "139" ], [ "Ulmbach", "right", "22.9", "60.9", "138.2", "135" ], [ "Kallenbach", "right", "14.6", "84.7", "141.3", "132" ], [ "Weil", "left", "46.6", "247.9", "149.4", "130" ], [ "Kerkerbach", "right", "20.7", "70.2", "176.0", "112" ], [ "Emsbach", "left", "39.1", "321.8", "181.0", "110" ], [ "Elbbach", "right", "40.7", "323.7", "nan", "109" ], [ "Aar", "left", "49.7", "312.6", "nan", "103" ], [ "Dorsbach", "left", "32.0", "114.0", "nan", "94" ], [ "Gelbach (Aubach)", "right", "39.7", "221.2", "nan", "93" ], [ "Muhlbach", "left", "32.1", "171.9", "nan", "85" ], [ "Emsbach", "right", "11.5", "29.4", "nan", "75" ] ]
[ "388", "382", "326", "324", "285", "245", "192", "188", "172", "165", "164", "160", "155", "151", "150", "147", "147", "141", "139", "135", "132", "130", "112", "110", "109", "103", "94", "93", "85", "75" ]
what are the mouth elevations? || what are all the names?
nt-11159
col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 19.4 | 324 row 5 : perf | right | 20.0 | 113.1 | 24.7 | 285 row 6 : dautphe | left | 8.8 | 41.8 | 37.5 | 245 row 7 : wetschaft | left | 29.0 | 196.2 | 56.3 | 192 row 8 : ohm | left | 59.7 | 983.8 | 58.7 | 188 row 9 : allna | right | 19.1 | 92.0 | 77.1 | 172 row 10 : zwester ohm | left | 20.0 | 69.5 | 84.0 | 165 row 11 : salzbode | right | 27.6 | 137.8 | 87.4 | 164 row 12 : lumda | left | 30.0 | 131.5 | 93.6 | 160 row 13 : wieseck | left | 24.3 | 119.6 | 102.2 | 155 row 14 : bieber | right | 13.6 | 34.7 | 105.1 | 151 row 15 : kleebach | left | 26.9 | 164.6 | 106.2 | 150 row 16 : wetzbach | left | 11.7 | 32.9 | 119.6 | 147 row 17 : dill | right | 55.0 | 717.7 | 120.4 | 147 row 18 : solmsbach | left | 24.6 | 112.5 | 128.1 | 141 row 19 : iserbach (mottbach) | left | 19.2 | 31.2 | 131.4 | 139 row 20 : ulmbach | right | 22.9 | 60.9 | 138.2 | 135 row 21 : kallenbach | right | 14.6 | 84.7 | 141.3 | 132 row 22 : weil | left | 46.6 | 247.9 | 149.4 | 130 row 23 : kerkerbach | right | 20.7 | 70.2 | 176.0 | 112 row 24 : emsbach | left | 39.1 | 321.8 | 181.0 | 110 row 25 : elbbach | right | 40.7 | 323.7 | nan | 109 row 26 : aar | left | 49.7 | 312.6 | nan | 103 row 27 : dorsbach | left | 32.0 | 114.0 | nan | 94 row 28 : gelbach (aubach) | right | 39.7 | 221.2 | nan | 93 row 29 : muhlbach | left | 32.1 | 171.9 | nan | 85 row 30 : emsbach | right | 11.5 | 29.4 | nan | 75
table_csv/201_46.csv
2
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ] }
[ "what are all the names?", "what are the mouth elevations?", "what about their lengths?" ]
1
6.3, 8.4, 11.5, 8.3, 20.0, 8.8, 29.0, 59.7, 19.1, 20.0, 27.6, 30.0, 24.3, 13.6, 26.9, 11.7, 55.0, 24.6, 19.2, 22.9, 14.6, 46.6, 20.7, 39.1, 40.7, 49.7, 32.0, 39.7, 32.1, 11.5
[ "Name", "Position", "Length [km]", "Drainage basin area [km2]", "Confluence [by Lahn-km]", "Mouth elevation [m above MSL]" ]
what about their lengths?
[ [ "Feudinge (Ruppersbach)", "left", "6.3", "21.2", "9.8", "388" ], [ "Ilse", "right", "8.4", "11.8", "10.5", "382" ], [ "Banfe", "right", "11.5", "38.9", "18.5", "326" ], [ "Laasphe", "left", "8.3", "19.6", "19.4", "324" ], [ "Perf", "right", "20.0", "113.1", "24.7", "285" ], [ "Dautphe", "left", "8.8", "41.8", "37.5", "245" ], [ "Wetschaft", "left", "29.0", "196.2", "56.3", "192" ], [ "Ohm", "left", "59.7", "983.8", "58.7", "188" ], [ "Allna", "right", "19.1", "92.0", "77.1", "172" ], [ "Zwester Ohm", "left", "20.0", "69.5", "84.0", "165" ], [ "Salzbode", "right", "27.6", "137.8", "87.4", "164" ], [ "Lumda", "left", "30.0", "131.5", "93.6", "160" ], [ "Wieseck", "left", "24.3", "119.6", "102.2", "155" ], [ "Bieber", "right", "13.6", "34.7", "105.1", "151" ], [ "Kleebach", "left", "26.9", "164.6", "106.2", "150" ], [ "Wetzbach", "left", "11.7", "32.9", "119.6", "147" ], [ "Dill", "right", "55.0", "717.7", "120.4", "147" ], [ "Solmsbach", "left", "24.6", "112.5", "128.1", "141" ], [ "Iserbach (Mottbach)", "left", "19.2", "31.2", "131.4", "139" ], [ "Ulmbach", "right", "22.9", "60.9", "138.2", "135" ], [ "Kallenbach", "right", "14.6", "84.7", "141.3", "132" ], [ "Weil", "left", "46.6", "247.9", "149.4", "130" ], [ "Kerkerbach", "right", "20.7", "70.2", "176.0", "112" ], [ "Emsbach", "left", "39.1", "321.8", "181.0", "110" ], [ "Elbbach", "right", "40.7", "323.7", "nan", "109" ], [ "Aar", "left", "49.7", "312.6", "nan", "103" ], [ "Dorsbach", "left", "32.0", "114.0", "nan", "94" ], [ "Gelbach (Aubach)", "right", "39.7", "221.2", "nan", "93" ], [ "Muhlbach", "left", "32.1", "171.9", "nan", "85" ], [ "Emsbach", "right", "11.5", "29.4", "nan", "75" ] ]
[ "6.3", "8.4", "11.5", "8.3", "20.0", "8.8", "29.0", "59.7", "19.1", "20.0", "27.6", "30.0", "24.3", "13.6", "26.9", "11.7", "55.0", "24.6", "19.2", "22.9", "14.6", "46.6", "20.7", "39.1", "40.7", "49.7", "32.0", "39.7", "32.1", "11.5" ]
what about their lengths? || what are the mouth elevations? | what are all the names?
nt-11159
col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 19.4 | 324 row 5 : perf | right | 20.0 | 113.1 | 24.7 | 285 row 6 : dautphe | left | 8.8 | 41.8 | 37.5 | 245 row 7 : wetschaft | left | 29.0 | 196.2 | 56.3 | 192 row 8 : ohm | left | 59.7 | 983.8 | 58.7 | 188 row 9 : allna | right | 19.1 | 92.0 | 77.1 | 172 row 10 : zwester ohm | left | 20.0 | 69.5 | 84.0 | 165 row 11 : salzbode | right | 27.6 | 137.8 | 87.4 | 164 row 12 : lumda | left | 30.0 | 131.5 | 93.6 | 160 row 13 : wieseck | left | 24.3 | 119.6 | 102.2 | 155 row 14 : bieber | right | 13.6 | 34.7 | 105.1 | 151 row 15 : kleebach | left | 26.9 | 164.6 | 106.2 | 150 row 16 : wetzbach | left | 11.7 | 32.9 | 119.6 | 147 row 17 : dill | right | 55.0 | 717.7 | 120.4 | 147 row 18 : solmsbach | left | 24.6 | 112.5 | 128.1 | 141 row 19 : iserbach (mottbach) | left | 19.2 | 31.2 | 131.4 | 139 row 20 : ulmbach | right | 22.9 | 60.9 | 138.2 | 135 row 21 : kallenbach | right | 14.6 | 84.7 | 141.3 | 132 row 22 : weil | left | 46.6 | 247.9 | 149.4 | 130 row 23 : kerkerbach | right | 20.7 | 70.2 | 176.0 | 112 row 24 : emsbach | left | 39.1 | 321.8 | 181.0 | 110 row 25 : elbbach | right | 40.7 | 323.7 | nan | 109 row 26 : aar | left | 49.7 | 312.6 | nan | 103 row 27 : dorsbach | left | 32.0 | 114.0 | nan | 94 row 28 : gelbach (aubach) | right | 39.7 | 221.2 | nan | 93 row 29 : muhlbach | left | 32.1 | 171.9 | nan | 85 row 30 : emsbach | right | 11.5 | 29.4 | nan | 75
table_csv/201_46.csv
3
{ "column_index": [ 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3 ] }
[ "what are all the names?", "what are the mouth elevations?", "what about their lengths?", "which of them exceed 300 meters?" ]
1
388, 382, 326, 324
[ "Name", "Position", "Length [km]", "Drainage basin area [km2]", "Confluence [by Lahn-km]", "Mouth elevation [m above MSL]" ]
which of them exceed 300 meters?
[ [ "Feudinge (Ruppersbach)", "left", "6.3", "21.2", "9.8", "388" ], [ "Ilse", "right", "8.4", "11.8", "10.5", "382" ], [ "Banfe", "right", "11.5", "38.9", "18.5", "326" ], [ "Laasphe", "left", "8.3", "19.6", "19.4", "324" ], [ "Perf", "right", "20.0", "113.1", "24.7", "285" ], [ "Dautphe", "left", "8.8", "41.8", "37.5", "245" ], [ "Wetschaft", "left", "29.0", "196.2", "56.3", "192" ], [ "Ohm", "left", "59.7", "983.8", "58.7", "188" ], [ "Allna", "right", "19.1", "92.0", "77.1", "172" ], [ "Zwester Ohm", "left", "20.0", "69.5", "84.0", "165" ], [ "Salzbode", "right", "27.6", "137.8", "87.4", "164" ], [ "Lumda", "left", "30.0", "131.5", "93.6", "160" ], [ "Wieseck", "left", "24.3", "119.6", "102.2", "155" ], [ "Bieber", "right", "13.6", "34.7", "105.1", "151" ], [ "Kleebach", "left", "26.9", "164.6", "106.2", "150" ], [ "Wetzbach", "left", "11.7", "32.9", "119.6", "147" ], [ "Dill", "right", "55.0", "717.7", "120.4", "147" ], [ "Solmsbach", "left", "24.6", "112.5", "128.1", "141" ], [ "Iserbach (Mottbach)", "left", "19.2", "31.2", "131.4", "139" ], [ "Ulmbach", "right", "22.9", "60.9", "138.2", "135" ], [ "Kallenbach", "right", "14.6", "84.7", "141.3", "132" ], [ "Weil", "left", "46.6", "247.9", "149.4", "130" ], [ "Kerkerbach", "right", "20.7", "70.2", "176.0", "112" ], [ "Emsbach", "left", "39.1", "321.8", "181.0", "110" ], [ "Elbbach", "right", "40.7", "323.7", "nan", "109" ], [ "Aar", "left", "49.7", "312.6", "nan", "103" ], [ "Dorsbach", "left", "32.0", "114.0", "nan", "94" ], [ "Gelbach (Aubach)", "right", "39.7", "221.2", "nan", "93" ], [ "Muhlbach", "left", "32.1", "171.9", "nan", "85" ], [ "Emsbach", "right", "11.5", "29.4", "nan", "75" ] ]
[ "388", "382", "326", "324" ]
which of them exceed 300 meters? || what about their lengths? | what are the mouth elevations? | what are all the names?
nt-11159
col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 19.4 | 324 row 5 : perf | right | 20.0 | 113.1 | 24.7 | 285 row 6 : dautphe | left | 8.8 | 41.8 | 37.5 | 245 row 7 : wetschaft | left | 29.0 | 196.2 | 56.3 | 192 row 8 : ohm | left | 59.7 | 983.8 | 58.7 | 188 row 9 : allna | right | 19.1 | 92.0 | 77.1 | 172 row 10 : zwester ohm | left | 20.0 | 69.5 | 84.0 | 165 row 11 : salzbode | right | 27.6 | 137.8 | 87.4 | 164 row 12 : lumda | left | 30.0 | 131.5 | 93.6 | 160 row 13 : wieseck | left | 24.3 | 119.6 | 102.2 | 155 row 14 : bieber | right | 13.6 | 34.7 | 105.1 | 151 row 15 : kleebach | left | 26.9 | 164.6 | 106.2 | 150 row 16 : wetzbach | left | 11.7 | 32.9 | 119.6 | 147 row 17 : dill | right | 55.0 | 717.7 | 120.4 | 147 row 18 : solmsbach | left | 24.6 | 112.5 | 128.1 | 141 row 19 : iserbach (mottbach) | left | 19.2 | 31.2 | 131.4 | 139 row 20 : ulmbach | right | 22.9 | 60.9 | 138.2 | 135 row 21 : kallenbach | right | 14.6 | 84.7 | 141.3 | 132 row 22 : weil | left | 46.6 | 247.9 | 149.4 | 130 row 23 : kerkerbach | right | 20.7 | 70.2 | 176.0 | 112 row 24 : emsbach | left | 39.1 | 321.8 | 181.0 | 110 row 25 : elbbach | right | 40.7 | 323.7 | nan | 109 row 26 : aar | left | 49.7 | 312.6 | nan | 103 row 27 : dorsbach | left | 32.0 | 114.0 | nan | 94 row 28 : gelbach (aubach) | right | 39.7 | 221.2 | nan | 93 row 29 : muhlbach | left | 32.1 | 171.9 | nan | 85 row 30 : emsbach | right | 11.5 | 29.4 | nan | 75
table_csv/201_46.csv
4
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what are all the names?", "what are the mouth elevations?", "what about their lengths?", "which of them exceed 300 meters?", "and which of those is longer than 10 km?" ]
1
banfe
[ "Name", "Position", "Length [km]", "Drainage basin area [km2]", "Confluence [by Lahn-km]", "Mouth elevation [m above MSL]" ]
and which of those is longer than 10 km?
[ [ "Feudinge (Ruppersbach)", "left", "6.3", "21.2", "9.8", "388" ], [ "Ilse", "right", "8.4", "11.8", "10.5", "382" ], [ "Banfe", "right", "11.5", "38.9", "18.5", "326" ], [ "Laasphe", "left", "8.3", "19.6", "19.4", "324" ], [ "Perf", "right", "20.0", "113.1", "24.7", "285" ], [ "Dautphe", "left", "8.8", "41.8", "37.5", "245" ], [ "Wetschaft", "left", "29.0", "196.2", "56.3", "192" ], [ "Ohm", "left", "59.7", "983.8", "58.7", "188" ], [ "Allna", "right", "19.1", "92.0", "77.1", "172" ], [ "Zwester Ohm", "left", "20.0", "69.5", "84.0", "165" ], [ "Salzbode", "right", "27.6", "137.8", "87.4", "164" ], [ "Lumda", "left", "30.0", "131.5", "93.6", "160" ], [ "Wieseck", "left", "24.3", "119.6", "102.2", "155" ], [ "Bieber", "right", "13.6", "34.7", "105.1", "151" ], [ "Kleebach", "left", "26.9", "164.6", "106.2", "150" ], [ "Wetzbach", "left", "11.7", "32.9", "119.6", "147" ], [ "Dill", "right", "55.0", "717.7", "120.4", "147" ], [ "Solmsbach", "left", "24.6", "112.5", "128.1", "141" ], [ "Iserbach (Mottbach)", "left", "19.2", "31.2", "131.4", "139" ], [ "Ulmbach", "right", "22.9", "60.9", "138.2", "135" ], [ "Kallenbach", "right", "14.6", "84.7", "141.3", "132" ], [ "Weil", "left", "46.6", "247.9", "149.4", "130" ], [ "Kerkerbach", "right", "20.7", "70.2", "176.0", "112" ], [ "Emsbach", "left", "39.1", "321.8", "181.0", "110" ], [ "Elbbach", "right", "40.7", "323.7", "nan", "109" ], [ "Aar", "left", "49.7", "312.6", "nan", "103" ], [ "Dorsbach", "left", "32.0", "114.0", "nan", "94" ], [ "Gelbach (Aubach)", "right", "39.7", "221.2", "nan", "93" ], [ "Muhlbach", "left", "32.1", "171.9", "nan", "85" ], [ "Emsbach", "right", "11.5", "29.4", "nan", "75" ] ]
[ "Banfe" ]
and which of those is longer than 10 km? || which of them exceed 300 meters? | what about their lengths? | what are the mouth elevations? | what are all the names?
nt-11159
col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 19.4 | 324 row 5 : perf | right | 20.0 | 113.1 | 24.7 | 285 row 6 : dautphe | left | 8.8 | 41.8 | 37.5 | 245 row 7 : wetschaft | left | 29.0 | 196.2 | 56.3 | 192 row 8 : ohm | left | 59.7 | 983.8 | 58.7 | 188 row 9 : allna | right | 19.1 | 92.0 | 77.1 | 172 row 10 : zwester ohm | left | 20.0 | 69.5 | 84.0 | 165 row 11 : salzbode | right | 27.6 | 137.8 | 87.4 | 164 row 12 : lumda | left | 30.0 | 131.5 | 93.6 | 160 row 13 : wieseck | left | 24.3 | 119.6 | 102.2 | 155 row 14 : bieber | right | 13.6 | 34.7 | 105.1 | 151 row 15 : kleebach | left | 26.9 | 164.6 | 106.2 | 150 row 16 : wetzbach | left | 11.7 | 32.9 | 119.6 | 147 row 17 : dill | right | 55.0 | 717.7 | 120.4 | 147 row 18 : solmsbach | left | 24.6 | 112.5 | 128.1 | 141 row 19 : iserbach (mottbach) | left | 19.2 | 31.2 | 131.4 | 139 row 20 : ulmbach | right | 22.9 | 60.9 | 138.2 | 135 row 21 : kallenbach | right | 14.6 | 84.7 | 141.3 | 132 row 22 : weil | left | 46.6 | 247.9 | 149.4 | 130 row 23 : kerkerbach | right | 20.7 | 70.2 | 176.0 | 112 row 24 : emsbach | left | 39.1 | 321.8 | 181.0 | 110 row 25 : elbbach | right | 40.7 | 323.7 | nan | 109 row 26 : aar | left | 49.7 | 312.6 | nan | 103 row 27 : dorsbach | left | 32.0 | 114.0 | nan | 94 row 28 : gelbach (aubach) | right | 39.7 | 221.2 | nan | 93 row 29 : muhlbach | left | 32.1 | 171.9 | nan | 85 row 30 : emsbach | right | 11.5 | 29.4 | nan | 75
table_csv/201_46.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 ] }
[ "what are the names of the lahns listed?" ]
2
feudinge (ruppersbach), ilse, banfe, laasphe, perf, dautphe, wetschaft, ohm, allna, zwester ohm, salzbode, lumda, wieseck, bieber, kleebach, wetzbach, dill, solmsbach, iserbach (mottbach), ulmbach, kallenbach, weil, kerkerbach, emsbach, elbbach, aar, dorsbach, gelbach (aubach), muhlbach, emsbach
[ "Name", "Position", "Length [km]", "Drainage basin area [km2]", "Confluence [by Lahn-km]", "Mouth elevation [m above MSL]" ]
what are the names of the lahns listed?
[ [ "Feudinge (Ruppersbach)", "left", "6.3", "21.2", "9.8", "388" ], [ "Ilse", "right", "8.4", "11.8", "10.5", "382" ], [ "Banfe", "right", "11.5", "38.9", "18.5", "326" ], [ "Laasphe", "left", "8.3", "19.6", "19.4", "324" ], [ "Perf", "right", "20.0", "113.1", "24.7", "285" ], [ "Dautphe", "left", "8.8", "41.8", "37.5", "245" ], [ "Wetschaft", "left", "29.0", "196.2", "56.3", "192" ], [ "Ohm", "left", "59.7", "983.8", "58.7", "188" ], [ "Allna", "right", "19.1", "92.0", "77.1", "172" ], [ "Zwester Ohm", "left", "20.0", "69.5", "84.0", "165" ], [ "Salzbode", "right", "27.6", "137.8", "87.4", "164" ], [ "Lumda", "left", "30.0", "131.5", "93.6", "160" ], [ "Wieseck", "left", "24.3", "119.6", "102.2", "155" ], [ "Bieber", "right", "13.6", "34.7", "105.1", "151" ], [ "Kleebach", "left", "26.9", "164.6", "106.2", "150" ], [ "Wetzbach", "left", "11.7", "32.9", "119.6", "147" ], [ "Dill", "right", "55.0", "717.7", "120.4", "147" ], [ "Solmsbach", "left", "24.6", "112.5", "128.1", "141" ], [ "Iserbach (Mottbach)", "left", "19.2", "31.2", "131.4", "139" ], [ "Ulmbach", "right", "22.9", "60.9", "138.2", "135" ], [ "Kallenbach", "right", "14.6", "84.7", "141.3", "132" ], [ "Weil", "left", "46.6", "247.9", "149.4", "130" ], [ "Kerkerbach", "right", "20.7", "70.2", "176.0", "112" ], [ "Emsbach", "left", "39.1", "321.8", "181.0", "110" ], [ "Elbbach", "right", "40.7", "323.7", "nan", "109" ], [ "Aar", "left", "49.7", "312.6", "nan", "103" ], [ "Dorsbach", "left", "32.0", "114.0", "nan", "94" ], [ "Gelbach (Aubach)", "right", "39.7", "221.2", "nan", "93" ], [ "Muhlbach", "left", "32.1", "171.9", "nan", "85" ], [ "Emsbach", "right", "11.5", "29.4", "nan", "75" ] ]
[ "Feudinge (Ruppersbach)", "Ilse", "Banfe", "Laasphe", "Perf", "Dautphe", "Wetschaft", "Ohm", "Allna", "Zwester Ohm", "Salzbode", "Lumda", "Wieseck", "Bieber", "Kleebach", "Wetzbach", "Dill", "Solmsbach", "Iserbach (Mottbach)", "Ulmbach", "Kallenbach", "Weil", "Kerkerbach", "Emsbach", "Elbbach", "Aar", "Dorsbach", "Gelbach (Aubach)", "Muhlbach", "Emsbach" ]
what are the names of the lahns listed? ||
nt-11159
col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 19.4 | 324 row 5 : perf | right | 20.0 | 113.1 | 24.7 | 285 row 6 : dautphe | left | 8.8 | 41.8 | 37.5 | 245 row 7 : wetschaft | left | 29.0 | 196.2 | 56.3 | 192 row 8 : ohm | left | 59.7 | 983.8 | 58.7 | 188 row 9 : allna | right | 19.1 | 92.0 | 77.1 | 172 row 10 : zwester ohm | left | 20.0 | 69.5 | 84.0 | 165 row 11 : salzbode | right | 27.6 | 137.8 | 87.4 | 164 row 12 : lumda | left | 30.0 | 131.5 | 93.6 | 160 row 13 : wieseck | left | 24.3 | 119.6 | 102.2 | 155 row 14 : bieber | right | 13.6 | 34.7 | 105.1 | 151 row 15 : kleebach | left | 26.9 | 164.6 | 106.2 | 150 row 16 : wetzbach | left | 11.7 | 32.9 | 119.6 | 147 row 17 : dill | right | 55.0 | 717.7 | 120.4 | 147 row 18 : solmsbach | left | 24.6 | 112.5 | 128.1 | 141 row 19 : iserbach (mottbach) | left | 19.2 | 31.2 | 131.4 | 139 row 20 : ulmbach | right | 22.9 | 60.9 | 138.2 | 135 row 21 : kallenbach | right | 14.6 | 84.7 | 141.3 | 132 row 22 : weil | left | 46.6 | 247.9 | 149.4 | 130 row 23 : kerkerbach | right | 20.7 | 70.2 | 176.0 | 112 row 24 : emsbach | left | 39.1 | 321.8 | 181.0 | 110 row 25 : elbbach | right | 40.7 | 323.7 | nan | 109 row 26 : aar | left | 49.7 | 312.6 | nan | 103 row 27 : dorsbach | left | 32.0 | 114.0 | nan | 94 row 28 : gelbach (aubach) | right | 39.7 | 221.2 | nan | 93 row 29 : muhlbach | left | 32.1 | 171.9 | nan | 85 row 30 : emsbach | right | 11.5 | 29.4 | nan | 75
table_csv/201_46.csv
1
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3 ] }
[ "what are the names of the lahns listed?", "of those, which exceed 300 m mouth elevation?" ]
2
feudinge (ruppersbach), ilse, banfe, laasphe
[ "Name", "Position", "Length [km]", "Drainage basin area [km2]", "Confluence [by Lahn-km]", "Mouth elevation [m above MSL]" ]
of those, which exceed 300 m mouth elevation?
[ [ "Feudinge (Ruppersbach)", "left", "6.3", "21.2", "9.8", "388" ], [ "Ilse", "right", "8.4", "11.8", "10.5", "382" ], [ "Banfe", "right", "11.5", "38.9", "18.5", "326" ], [ "Laasphe", "left", "8.3", "19.6", "19.4", "324" ], [ "Perf", "right", "20.0", "113.1", "24.7", "285" ], [ "Dautphe", "left", "8.8", "41.8", "37.5", "245" ], [ "Wetschaft", "left", "29.0", "196.2", "56.3", "192" ], [ "Ohm", "left", "59.7", "983.8", "58.7", "188" ], [ "Allna", "right", "19.1", "92.0", "77.1", "172" ], [ "Zwester Ohm", "left", "20.0", "69.5", "84.0", "165" ], [ "Salzbode", "right", "27.6", "137.8", "87.4", "164" ], [ "Lumda", "left", "30.0", "131.5", "93.6", "160" ], [ "Wieseck", "left", "24.3", "119.6", "102.2", "155" ], [ "Bieber", "right", "13.6", "34.7", "105.1", "151" ], [ "Kleebach", "left", "26.9", "164.6", "106.2", "150" ], [ "Wetzbach", "left", "11.7", "32.9", "119.6", "147" ], [ "Dill", "right", "55.0", "717.7", "120.4", "147" ], [ "Solmsbach", "left", "24.6", "112.5", "128.1", "141" ], [ "Iserbach (Mottbach)", "left", "19.2", "31.2", "131.4", "139" ], [ "Ulmbach", "right", "22.9", "60.9", "138.2", "135" ], [ "Kallenbach", "right", "14.6", "84.7", "141.3", "132" ], [ "Weil", "left", "46.6", "247.9", "149.4", "130" ], [ "Kerkerbach", "right", "20.7", "70.2", "176.0", "112" ], [ "Emsbach", "left", "39.1", "321.8", "181.0", "110" ], [ "Elbbach", "right", "40.7", "323.7", "nan", "109" ], [ "Aar", "left", "49.7", "312.6", "nan", "103" ], [ "Dorsbach", "left", "32.0", "114.0", "nan", "94" ], [ "Gelbach (Aubach)", "right", "39.7", "221.2", "nan", "93" ], [ "Muhlbach", "left", "32.1", "171.9", "nan", "85" ], [ "Emsbach", "right", "11.5", "29.4", "nan", "75" ] ]
[ "Feudinge (Ruppersbach)", "Ilse", "Banfe", "Laasphe" ]
of those, which exceed 300 m mouth elevation? || what are the names of the lahns listed?
nt-11159
col : name | position | length [km] | drainage basin area [km2] | confluence [by lahn-km] | mouth elevation [m above msl] row 1 : feudinge (ruppersbach) | left | 6.3 | 21.2 | 9.8 | 388 row 2 : ilse | right | 8.4 | 11.8 | 10.5 | 382 row 3 : banfe | right | 11.5 | 38.9 | 18.5 | 326 row 4 : laasphe | left | 8.3 | 19.6 | 19.4 | 324 row 5 : perf | right | 20.0 | 113.1 | 24.7 | 285 row 6 : dautphe | left | 8.8 | 41.8 | 37.5 | 245 row 7 : wetschaft | left | 29.0 | 196.2 | 56.3 | 192 row 8 : ohm | left | 59.7 | 983.8 | 58.7 | 188 row 9 : allna | right | 19.1 | 92.0 | 77.1 | 172 row 10 : zwester ohm | left | 20.0 | 69.5 | 84.0 | 165 row 11 : salzbode | right | 27.6 | 137.8 | 87.4 | 164 row 12 : lumda | left | 30.0 | 131.5 | 93.6 | 160 row 13 : wieseck | left | 24.3 | 119.6 | 102.2 | 155 row 14 : bieber | right | 13.6 | 34.7 | 105.1 | 151 row 15 : kleebach | left | 26.9 | 164.6 | 106.2 | 150 row 16 : wetzbach | left | 11.7 | 32.9 | 119.6 | 147 row 17 : dill | right | 55.0 | 717.7 | 120.4 | 147 row 18 : solmsbach | left | 24.6 | 112.5 | 128.1 | 141 row 19 : iserbach (mottbach) | left | 19.2 | 31.2 | 131.4 | 139 row 20 : ulmbach | right | 22.9 | 60.9 | 138.2 | 135 row 21 : kallenbach | right | 14.6 | 84.7 | 141.3 | 132 row 22 : weil | left | 46.6 | 247.9 | 149.4 | 130 row 23 : kerkerbach | right | 20.7 | 70.2 | 176.0 | 112 row 24 : emsbach | left | 39.1 | 321.8 | 181.0 | 110 row 25 : elbbach | right | 40.7 | 323.7 | nan | 109 row 26 : aar | left | 49.7 | 312.6 | nan | 103 row 27 : dorsbach | left | 32.0 | 114.0 | nan | 94 row 28 : gelbach (aubach) | right | 39.7 | 221.2 | nan | 93 row 29 : muhlbach | left | 32.1 | 171.9 | nan | 85 row 30 : emsbach | right | 11.5 | 29.4 | nan | 75
table_csv/201_46.csv
2
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what are the names of the lahns listed?", "of those, which exceed 300 m mouth elevation?", "of those, which exceeds 10 km in length?" ]
2
banfe
[ "Name", "Position", "Length [km]", "Drainage basin area [km2]", "Confluence [by Lahn-km]", "Mouth elevation [m above MSL]" ]
of those, which exceeds 10 km in length?
[ [ "Feudinge (Ruppersbach)", "left", "6.3", "21.2", "9.8", "388" ], [ "Ilse", "right", "8.4", "11.8", "10.5", "382" ], [ "Banfe", "right", "11.5", "38.9", "18.5", "326" ], [ "Laasphe", "left", "8.3", "19.6", "19.4", "324" ], [ "Perf", "right", "20.0", "113.1", "24.7", "285" ], [ "Dautphe", "left", "8.8", "41.8", "37.5", "245" ], [ "Wetschaft", "left", "29.0", "196.2", "56.3", "192" ], [ "Ohm", "left", "59.7", "983.8", "58.7", "188" ], [ "Allna", "right", "19.1", "92.0", "77.1", "172" ], [ "Zwester Ohm", "left", "20.0", "69.5", "84.0", "165" ], [ "Salzbode", "right", "27.6", "137.8", "87.4", "164" ], [ "Lumda", "left", "30.0", "131.5", "93.6", "160" ], [ "Wieseck", "left", "24.3", "119.6", "102.2", "155" ], [ "Bieber", "right", "13.6", "34.7", "105.1", "151" ], [ "Kleebach", "left", "26.9", "164.6", "106.2", "150" ], [ "Wetzbach", "left", "11.7", "32.9", "119.6", "147" ], [ "Dill", "right", "55.0", "717.7", "120.4", "147" ], [ "Solmsbach", "left", "24.6", "112.5", "128.1", "141" ], [ "Iserbach (Mottbach)", "left", "19.2", "31.2", "131.4", "139" ], [ "Ulmbach", "right", "22.9", "60.9", "138.2", "135" ], [ "Kallenbach", "right", "14.6", "84.7", "141.3", "132" ], [ "Weil", "left", "46.6", "247.9", "149.4", "130" ], [ "Kerkerbach", "right", "20.7", "70.2", "176.0", "112" ], [ "Emsbach", "left", "39.1", "321.8", "181.0", "110" ], [ "Elbbach", "right", "40.7", "323.7", "nan", "109" ], [ "Aar", "left", "49.7", "312.6", "nan", "103" ], [ "Dorsbach", "left", "32.0", "114.0", "nan", "94" ], [ "Gelbach (Aubach)", "right", "39.7", "221.2", "nan", "93" ], [ "Muhlbach", "left", "32.1", "171.9", "nan", "85" ], [ "Emsbach", "right", "11.5", "29.4", "nan", "75" ] ]
[ "Banfe" ]
of those, which exceeds 10 km in length? || of those, which exceed 300 m mouth elevation? | what are the names of the lahns listed?
nt-6097
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
0
{ "column_index": [ 1 ], "row_index": [ 5 ] }
[ "which district has zero population density?" ]
0
forest reserve
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which district has zero population density?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Forest Reserve" ]
which district has zero population density? ||
nt-6097
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "which district has zero population density?", "which district has the lowest density population density?" ]
0
praslin
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which district has the lowest density population density?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Praslin" ]
which district has the lowest density population density? || which district has zero population density?
nt-6097
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
2
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "which district has zero population density?", "which district has the lowest density population density?", "which district has the highest density population of 776?" ]
0
castries
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which district has the highest density population of 776?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Castries" ]
which district has the highest density population of 776? || which district has the lowest density population density? | which district has zero population density?
nt-6097
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.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 are the districts?" ]
1
anse la raye, praslin, castries, choiseul, dennery, forest reserve, gros islet, laborie, micoud, soufriere, vieux fort
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what are the districts?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Anse la Raye", "Praslin", "Castries", "Choiseul", "Dennery", "Forest Reserve", "Gros Islet", "Laborie", "Micoud", "Soufriere", "Vieux Fort" ]
what are the districts? ||
nt-6097
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
1
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what are the districts?", "of these, which has the highest population density?" ]
1
castries
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
of these, which has the highest population density?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Castries" ]
of these, which has the highest population density? || what are the districts?
nt-6097
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
0
{ "column_index": [ 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ] }
[ "what are the 11 districts of saint lucia?" ]
2
1, anse la raye, praslin, castries, choiseul, dennery, forest reserve, gros islet, laborie, micoud, soufriere, vieux fort
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
what are the 11 districts of saint lucia?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "1", "Anse la Raye", "Praslin", "Castries", "Choiseul", "Dennery", "Forest Reserve", "Gros Islet", "Laborie", "Micoud", "Soufriere", "Vieux Fort" ]
what are the 11 districts of saint lucia? ||
nt-6097
col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1.0 | anse la raye | 30.9 | 6,247 | 210 row 2 : 2.0 | praslin | 16.0 | 2,044 | 119 row 3 : 3.0 | castries | 79.5 | 65,656 | 776 row 4 : 4.0 | choiseul | 31.3 | 6,098 | 206 row 5 : 5.0 | dennery | 69.7 | 12,599 | 182 row 6 : 6.0 | forest reserve | 78.0 | 0 | 0 row 7 : 7.0 | gros islet | 101.5 | 25,210 | 196 row 8 : 8.0 | laborie | 37.8 | 6,701 | 210 row 9 : 9.0 | micoud | 77.7 | 16,284 | 220 row 10 : 10.0 | soufriere | 50.5 | 8,472 | 144 row 11 : 11.0 | vieux fort | 43.8 | 16,284 | 371 row 12 : nan | saint lucia | 608.7 | 165,595 | 256
table_csv/203_212.csv
1
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what are the 11 districts of saint lucia?", "which one has the highest population density?" ]
2
castries
[ "#", "District", "Land area (km2)", "Population (2010 census)", "Density (persons/km2)" ]
which one has the highest population density?
[ [ "1.0", "Anse la Raye", "30.9", "6,247", "210" ], [ "2.0", "Praslin", "16.0", "2,044", "119" ], [ "3.0", "Castries", "79.5", "65,656", "776" ], [ "4.0", "Choiseul", "31.3", "6,098", "206" ], [ "5.0", "Dennery", "69.7", "12,599", "182" ], [ "6.0", "Forest Reserve", "78.0", "0", "0" ], [ "7.0", "Gros Islet", "101.5", "25,210", "196" ], [ "8.0", "Laborie", "37.8", "6,701", "210" ], [ "9.0", "Micoud", "77.7", "16,284", "220" ], [ "10.0", "Soufriere", "50.5", "8,472", "144" ], [ "11.0", "Vieux Fort", "43.8", "16,284", "371" ], [ "nan", "Saint Lucia", "608.7", "165,595", "256" ] ]
[ "Castries" ]
which one has the highest population density? || what are the 11 districts of saint lucia?
ns-2278
col : stage | date | route | terrain | length | winner row 1 : 1 | 22 june | rennes - lisieux | plain stage | 215 km (134 mi) | edward sels (bel) row 2 : 2 | 23 june | lisieux - amiens | plain stage | 208 km (129 mi) | andre darrigade (fra) row 3 : 3a | 24 june | amiens - forest | plain stage | 197 km (122 mi) | bernard vandekerkhove (bel) row 4 : 3b | 24 june | forest - forest | team time trial | 21 km (13 mi) | kas-kaskol row 5 : 4 | 25 june | forest - metz | plain stage | 292 km (181 mi) | rudi altig (ger) row 6 : 5 | 26 june | metz - freiburg | plain stage | 161 km (100 mi) | willy derboven (bel) row 7 : 6 | 27 june | freiburg - besancon | plain stage | 200 km (120 mi) | henk nijdam (ned) row 8 : 7 | 28 june | besancon - thonon-les-bains | plain stage | 195 km (121 mi) | jan janssen (ned) row 9 : 8 | 29 june | thonon-les-bains - briancon | stage with mountain(s) | 249 km (155 mi) | federico bahamontes (esp) row 10 : 9 | 30 june | briancon - monaco | stage with mountain(s) | 239 km (149 mi) | jacques anquetil (fra) row 11 : 10a | 1 july | monaco - hyeres | plain stage | 187 km (116 mi) | jan janssen (ned) row 12 : 10b | 1 july | hyeres - toulon | individual time trial | 21 km (13 mi) | jacques anquetil (fra) row 13 : 11 | 2 july | toulon - montpellier | plain stage | 250 km (160 mi) | edward sels (bel) row 14 : 12 | 3 july | montpellier - perpignan | plain stage | 174 km (108 mi) | jo de roo (ned) row 15 : 13 | 4 july | perpignan - andorra | stage with mountain(s) | 170 km (110 mi) | julio jimenez (esp) row 16 : 14 | 6 july | andorra - toulouse | stage with mountain(s) | 186 km (116 mi) | edward sels (bel) row 17 : 15 | 7 july | toulouse - luchon | stage with mountain(s) | 203 km (126 mi) | raymond poulidor (fra) row 18 : 16 | 8 july | luchon - pau | stage with mountain(s) | 197 km (122 mi) | federico bahamontes (esp) row 19 : 17 | 9 july | peyrehorade - bayonne | individual time trial | 43 km (27 mi) | jacques anquetil (fra) row 20 : 18 | 10 july | bayonne - bordeaux | plain stage | 187 km (116 mi) | andre darrigade (fra) row 21 : 19 | 11 july | bordeaux - brive | plain stage | 215 km (134 mi) | edward sels (bel) row 22 : 20 | 12 july | brive - puy de dome | stage with mountain(s) | 217 km (135 mi) | julio jimenez (esp) row 23 : 21 | 13 july | clermont-ferrand - orleans | plain stage | 311 km (193 mi) | jean stablinski (fra) row 24 : 22a | 14 july | orleans - versailles | plain stage | 119 km (74 mi) | benoni beheyt (bel) row 25 : 22b | 14 july | versailles - paris | individual time trial | 27 km (17 mi) | jacques anquetil (fra)
table_csv/203_44.csv
0
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "what stage was won by rudi altig?" ]
0
4
[ "Stage", "Date", "Route", "Terrain", "Length", "Winner" ]
what stage was won by rudi altig?
[ [ "1", "22 June", "Rennes - Lisieux", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "2", "23 June", "Lisieux - Amiens", "Plain stage", "208 km (129 mi)", "Andre Darrigade (FRA)" ], [ "3A", "24 June", "Amiens - Forest", "Plain stage", "197 km (122 mi)", "Bernard Vandekerkhove (BEL)" ], [ "3B", "24 June", "Forest - Forest", "Team time trial", "21 km (13 mi)", "Kas-Kaskol" ], [ "4", "25 June", "Forest - Metz", "Plain stage", "292 km (181 mi)", "Rudi Altig (GER)" ], [ "5", "26 June", "Metz - Freiburg", "Plain stage", "161 km (100 mi)", "Willy Derboven (BEL)" ], [ "6", "27 June", "Freiburg - Besancon", "Plain stage", "200 km (120 mi)", "Henk Nijdam (NED)" ], [ "7", "28 June", "Besancon - Thonon-les-Bains", "Plain stage", "195 km (121 mi)", "Jan Janssen (NED)" ], [ "8", "29 June", "Thonon-les-Bains - Briancon", "Stage with mountain(s)", "249 km (155 mi)", "Federico Bahamontes (ESP)" ], [ "9", "30 June", "Briancon - Monaco", "Stage with mountain(s)", "239 km (149 mi)", "Jacques Anquetil (FRA)" ], [ "10A", "1 July", "Monaco - Hyeres", "Plain stage", "187 km (116 mi)", "Jan Janssen (NED)" ], [ "10B", "1 July", "Hyeres - Toulon", "Individual time trial", "21 km (13 mi)", "Jacques Anquetil (FRA)" ], [ "11", "2 July", "Toulon - Montpellier", "Plain stage", "250 km (160 mi)", "Edward Sels (BEL)" ], [ "12", "3 July", "Montpellier - Perpignan", "Plain stage", "174 km (108 mi)", "Jo de Roo (NED)" ], [ "13", "4 July", "Perpignan - Andorra", "Stage with mountain(s)", "170 km (110 mi)", "Julio Jimenez (ESP)" ], [ "14", "6 July", "Andorra - Toulouse", "Stage with mountain(s)", "186 km (116 mi)", "Edward Sels (BEL)" ], [ "15", "7 July", "Toulouse - Luchon", "Stage with mountain(s)", "203 km (126 mi)", "Raymond Poulidor (FRA)" ], [ "16", "8 July", "Luchon - Pau", "Stage with mountain(s)", "197 km (122 mi)", "Federico Bahamontes (ESP)" ], [ "17", "9 July", "Peyrehorade - Bayonne", "Individual time trial", "43 km (27 mi)", "Jacques Anquetil (FRA)" ], [ "18", "10 July", "Bayonne - Bordeaux", "Plain stage", "187 km (116 mi)", "Andre Darrigade (FRA)" ], [ "19", "11 July", "Bordeaux - Brive", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "20", "12 July", "Brive - Puy de Dome", "Stage with mountain(s)", "217 km (135 mi)", "Julio Jimenez (ESP)" ], [ "21", "13 July", "Clermont-Ferrand - Orleans", "Plain stage", "311 km (193 mi)", "Jean Stablinski (FRA)" ], [ "22A", "14 July", "Orleans - Versailles", "Plain stage", "119 km (74 mi)", "Benoni Beheyt (BEL)" ], [ "22B", "14 July", "Versailles - Paris", "Individual time trial", "27 km (17 mi)", "Jacques Anquetil (FRA)" ] ]
[ "4" ]
what stage was won by rudi altig? ||
ns-2278
col : stage | date | route | terrain | length | winner row 1 : 1 | 22 june | rennes - lisieux | plain stage | 215 km (134 mi) | edward sels (bel) row 2 : 2 | 23 june | lisieux - amiens | plain stage | 208 km (129 mi) | andre darrigade (fra) row 3 : 3a | 24 june | amiens - forest | plain stage | 197 km (122 mi) | bernard vandekerkhove (bel) row 4 : 3b | 24 june | forest - forest | team time trial | 21 km (13 mi) | kas-kaskol row 5 : 4 | 25 june | forest - metz | plain stage | 292 km (181 mi) | rudi altig (ger) row 6 : 5 | 26 june | metz - freiburg | plain stage | 161 km (100 mi) | willy derboven (bel) row 7 : 6 | 27 june | freiburg - besancon | plain stage | 200 km (120 mi) | henk nijdam (ned) row 8 : 7 | 28 june | besancon - thonon-les-bains | plain stage | 195 km (121 mi) | jan janssen (ned) row 9 : 8 | 29 june | thonon-les-bains - briancon | stage with mountain(s) | 249 km (155 mi) | federico bahamontes (esp) row 10 : 9 | 30 june | briancon - monaco | stage with mountain(s) | 239 km (149 mi) | jacques anquetil (fra) row 11 : 10a | 1 july | monaco - hyeres | plain stage | 187 km (116 mi) | jan janssen (ned) row 12 : 10b | 1 july | hyeres - toulon | individual time trial | 21 km (13 mi) | jacques anquetil (fra) row 13 : 11 | 2 july | toulon - montpellier | plain stage | 250 km (160 mi) | edward sels (bel) row 14 : 12 | 3 july | montpellier - perpignan | plain stage | 174 km (108 mi) | jo de roo (ned) row 15 : 13 | 4 july | perpignan - andorra | stage with mountain(s) | 170 km (110 mi) | julio jimenez (esp) row 16 : 14 | 6 july | andorra - toulouse | stage with mountain(s) | 186 km (116 mi) | edward sels (bel) row 17 : 15 | 7 july | toulouse - luchon | stage with mountain(s) | 203 km (126 mi) | raymond poulidor (fra) row 18 : 16 | 8 july | luchon - pau | stage with mountain(s) | 197 km (122 mi) | federico bahamontes (esp) row 19 : 17 | 9 july | peyrehorade - bayonne | individual time trial | 43 km (27 mi) | jacques anquetil (fra) row 20 : 18 | 10 july | bayonne - bordeaux | plain stage | 187 km (116 mi) | andre darrigade (fra) row 21 : 19 | 11 july | bordeaux - brive | plain stage | 215 km (134 mi) | edward sels (bel) row 22 : 20 | 12 july | brive - puy de dome | stage with mountain(s) | 217 km (135 mi) | julio jimenez (esp) row 23 : 21 | 13 july | clermont-ferrand - orleans | plain stage | 311 km (193 mi) | jean stablinski (fra) row 24 : 22a | 14 july | orleans - versailles | plain stage | 119 km (74 mi) | benoni beheyt (bel) row 25 : 22b | 14 july | versailles - paris | individual time trial | 27 km (17 mi) | jacques anquetil (fra)
table_csv/203_44.csv
1
{ "column_index": [ 4 ], "row_index": [ 4 ] }
[ "what stage was won by rudi altig?", "how long was it?" ]
0
292 km (181 mi)
[ "Stage", "Date", "Route", "Terrain", "Length", "Winner" ]
how long was it?
[ [ "1", "22 June", "Rennes - Lisieux", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "2", "23 June", "Lisieux - Amiens", "Plain stage", "208 km (129 mi)", "Andre Darrigade (FRA)" ], [ "3A", "24 June", "Amiens - Forest", "Plain stage", "197 km (122 mi)", "Bernard Vandekerkhove (BEL)" ], [ "3B", "24 June", "Forest - Forest", "Team time trial", "21 km (13 mi)", "Kas-Kaskol" ], [ "4", "25 June", "Forest - Metz", "Plain stage", "292 km (181 mi)", "Rudi Altig (GER)" ], [ "5", "26 June", "Metz - Freiburg", "Plain stage", "161 km (100 mi)", "Willy Derboven (BEL)" ], [ "6", "27 June", "Freiburg - Besancon", "Plain stage", "200 km (120 mi)", "Henk Nijdam (NED)" ], [ "7", "28 June", "Besancon - Thonon-les-Bains", "Plain stage", "195 km (121 mi)", "Jan Janssen (NED)" ], [ "8", "29 June", "Thonon-les-Bains - Briancon", "Stage with mountain(s)", "249 km (155 mi)", "Federico Bahamontes (ESP)" ], [ "9", "30 June", "Briancon - Monaco", "Stage with mountain(s)", "239 km (149 mi)", "Jacques Anquetil (FRA)" ], [ "10A", "1 July", "Monaco - Hyeres", "Plain stage", "187 km (116 mi)", "Jan Janssen (NED)" ], [ "10B", "1 July", "Hyeres - Toulon", "Individual time trial", "21 km (13 mi)", "Jacques Anquetil (FRA)" ], [ "11", "2 July", "Toulon - Montpellier", "Plain stage", "250 km (160 mi)", "Edward Sels (BEL)" ], [ "12", "3 July", "Montpellier - Perpignan", "Plain stage", "174 km (108 mi)", "Jo de Roo (NED)" ], [ "13", "4 July", "Perpignan - Andorra", "Stage with mountain(s)", "170 km (110 mi)", "Julio Jimenez (ESP)" ], [ "14", "6 July", "Andorra - Toulouse", "Stage with mountain(s)", "186 km (116 mi)", "Edward Sels (BEL)" ], [ "15", "7 July", "Toulouse - Luchon", "Stage with mountain(s)", "203 km (126 mi)", "Raymond Poulidor (FRA)" ], [ "16", "8 July", "Luchon - Pau", "Stage with mountain(s)", "197 km (122 mi)", "Federico Bahamontes (ESP)" ], [ "17", "9 July", "Peyrehorade - Bayonne", "Individual time trial", "43 km (27 mi)", "Jacques Anquetil (FRA)" ], [ "18", "10 July", "Bayonne - Bordeaux", "Plain stage", "187 km (116 mi)", "Andre Darrigade (FRA)" ], [ "19", "11 July", "Bordeaux - Brive", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "20", "12 July", "Brive - Puy de Dome", "Stage with mountain(s)", "217 km (135 mi)", "Julio Jimenez (ESP)" ], [ "21", "13 July", "Clermont-Ferrand - Orleans", "Plain stage", "311 km (193 mi)", "Jean Stablinski (FRA)" ], [ "22A", "14 July", "Orleans - Versailles", "Plain stage", "119 km (74 mi)", "Benoni Beheyt (BEL)" ], [ "22B", "14 July", "Versailles - Paris", "Individual time trial", "27 km (17 mi)", "Jacques Anquetil (FRA)" ] ]
[ "292 km (181 mi)" ]
how long was it? || what stage was won by rudi altig?
ns-2278
col : stage | date | route | terrain | length | winner row 1 : 1 | 22 june | rennes - lisieux | plain stage | 215 km (134 mi) | edward sels (bel) row 2 : 2 | 23 june | lisieux - amiens | plain stage | 208 km (129 mi) | andre darrigade (fra) row 3 : 3a | 24 june | amiens - forest | plain stage | 197 km (122 mi) | bernard vandekerkhove (bel) row 4 : 3b | 24 june | forest - forest | team time trial | 21 km (13 mi) | kas-kaskol row 5 : 4 | 25 june | forest - metz | plain stage | 292 km (181 mi) | rudi altig (ger) row 6 : 5 | 26 june | metz - freiburg | plain stage | 161 km (100 mi) | willy derboven (bel) row 7 : 6 | 27 june | freiburg - besancon | plain stage | 200 km (120 mi) | henk nijdam (ned) row 8 : 7 | 28 june | besancon - thonon-les-bains | plain stage | 195 km (121 mi) | jan janssen (ned) row 9 : 8 | 29 june | thonon-les-bains - briancon | stage with mountain(s) | 249 km (155 mi) | federico bahamontes (esp) row 10 : 9 | 30 june | briancon - monaco | stage with mountain(s) | 239 km (149 mi) | jacques anquetil (fra) row 11 : 10a | 1 july | monaco - hyeres | plain stage | 187 km (116 mi) | jan janssen (ned) row 12 : 10b | 1 july | hyeres - toulon | individual time trial | 21 km (13 mi) | jacques anquetil (fra) row 13 : 11 | 2 july | toulon - montpellier | plain stage | 250 km (160 mi) | edward sels (bel) row 14 : 12 | 3 july | montpellier - perpignan | plain stage | 174 km (108 mi) | jo de roo (ned) row 15 : 13 | 4 july | perpignan - andorra | stage with mountain(s) | 170 km (110 mi) | julio jimenez (esp) row 16 : 14 | 6 july | andorra - toulouse | stage with mountain(s) | 186 km (116 mi) | edward sels (bel) row 17 : 15 | 7 july | toulouse - luchon | stage with mountain(s) | 203 km (126 mi) | raymond poulidor (fra) row 18 : 16 | 8 july | luchon - pau | stage with mountain(s) | 197 km (122 mi) | federico bahamontes (esp) row 19 : 17 | 9 july | peyrehorade - bayonne | individual time trial | 43 km (27 mi) | jacques anquetil (fra) row 20 : 18 | 10 july | bayonne - bordeaux | plain stage | 187 km (116 mi) | andre darrigade (fra) row 21 : 19 | 11 july | bordeaux - brive | plain stage | 215 km (134 mi) | edward sels (bel) row 22 : 20 | 12 july | brive - puy de dome | stage with mountain(s) | 217 km (135 mi) | julio jimenez (esp) row 23 : 21 | 13 july | clermont-ferrand - orleans | plain stage | 311 km (193 mi) | jean stablinski (fra) row 24 : 22a | 14 july | orleans - versailles | plain stage | 119 km (74 mi) | benoni beheyt (bel) row 25 : 22b | 14 july | versailles - paris | individual time trial | 27 km (17 mi) | jacques anquetil (fra)
table_csv/203_44.csv
0
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "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 ] }
[ "who are all of the winners?" ]
1
edward sels (bel), andre darrigade (fra), bernard vandekerkhove (bel), kas-kaskol, rudi altig (ger), willy derboven (bel), henk nijdam (ned), jan janssen (ned), federico bahamontes (esp), jacques anquetil (fra), jan janssen (ned), jacques anquetil (fra), edward sels (bel), jo de roo (ned), julio jimenez (esp), edward sels (bel), raymond poulidor (fra), federico bahamontes (esp), jacques anquetil (fra), andre darrigade (fra), edward sels (bel), julio jimenez (esp), jean stablinski (fra), benoni beheyt (bel), jacques anquetil (fra)
[ "Stage", "Date", "Route", "Terrain", "Length", "Winner" ]
who are all of the winners?
[ [ "1", "22 June", "Rennes - Lisieux", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "2", "23 June", "Lisieux - Amiens", "Plain stage", "208 km (129 mi)", "Andre Darrigade (FRA)" ], [ "3A", "24 June", "Amiens - Forest", "Plain stage", "197 km (122 mi)", "Bernard Vandekerkhove (BEL)" ], [ "3B", "24 June", "Forest - Forest", "Team time trial", "21 km (13 mi)", "Kas-Kaskol" ], [ "4", "25 June", "Forest - Metz", "Plain stage", "292 km (181 mi)", "Rudi Altig (GER)" ], [ "5", "26 June", "Metz - Freiburg", "Plain stage", "161 km (100 mi)", "Willy Derboven (BEL)" ], [ "6", "27 June", "Freiburg - Besancon", "Plain stage", "200 km (120 mi)", "Henk Nijdam (NED)" ], [ "7", "28 June", "Besancon - Thonon-les-Bains", "Plain stage", "195 km (121 mi)", "Jan Janssen (NED)" ], [ "8", "29 June", "Thonon-les-Bains - Briancon", "Stage with mountain(s)", "249 km (155 mi)", "Federico Bahamontes (ESP)" ], [ "9", "30 June", "Briancon - Monaco", "Stage with mountain(s)", "239 km (149 mi)", "Jacques Anquetil (FRA)" ], [ "10A", "1 July", "Monaco - Hyeres", "Plain stage", "187 km (116 mi)", "Jan Janssen (NED)" ], [ "10B", "1 July", "Hyeres - Toulon", "Individual time trial", "21 km (13 mi)", "Jacques Anquetil (FRA)" ], [ "11", "2 July", "Toulon - Montpellier", "Plain stage", "250 km (160 mi)", "Edward Sels (BEL)" ], [ "12", "3 July", "Montpellier - Perpignan", "Plain stage", "174 km (108 mi)", "Jo de Roo (NED)" ], [ "13", "4 July", "Perpignan - Andorra", "Stage with mountain(s)", "170 km (110 mi)", "Julio Jimenez (ESP)" ], [ "14", "6 July", "Andorra - Toulouse", "Stage with mountain(s)", "186 km (116 mi)", "Edward Sels (BEL)" ], [ "15", "7 July", "Toulouse - Luchon", "Stage with mountain(s)", "203 km (126 mi)", "Raymond Poulidor (FRA)" ], [ "16", "8 July", "Luchon - Pau", "Stage with mountain(s)", "197 km (122 mi)", "Federico Bahamontes (ESP)" ], [ "17", "9 July", "Peyrehorade - Bayonne", "Individual time trial", "43 km (27 mi)", "Jacques Anquetil (FRA)" ], [ "18", "10 July", "Bayonne - Bordeaux", "Plain stage", "187 km (116 mi)", "Andre Darrigade (FRA)" ], [ "19", "11 July", "Bordeaux - Brive", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "20", "12 July", "Brive - Puy de Dome", "Stage with mountain(s)", "217 km (135 mi)", "Julio Jimenez (ESP)" ], [ "21", "13 July", "Clermont-Ferrand - Orleans", "Plain stage", "311 km (193 mi)", "Jean Stablinski (FRA)" ], [ "22A", "14 July", "Orleans - Versailles", "Plain stage", "119 km (74 mi)", "Benoni Beheyt (BEL)" ], [ "22B", "14 July", "Versailles - Paris", "Individual time trial", "27 km (17 mi)", "Jacques Anquetil (FRA)" ] ]
[ "Edward Sels (BEL)", "Andre Darrigade (FRA)", "Bernard Vandekerkhove (BEL)", "Kas-Kaskol", "Rudi Altig (GER)", "Willy Derboven (BEL)", "Henk Nijdam (NED)", "Jan Janssen (NED)", "Federico Bahamontes (ESP)", "Jacques Anquetil (FRA)", "Jan Janssen (NED)", "Jacques Anquetil (FRA)", "Edward Sels (BEL)", "Jo de Roo (NED)", "Julio Jimenez (ESP)", "Edward Sels (BEL)", "Raymond Poulidor (FRA)", "Federico Bahamontes (ESP)", "Jacques Anquetil (FRA)", "Andre Darrigade (FRA)", "Edward Sels (BEL)", "Julio Jimenez (ESP)", "Jean Stablinski (FRA)", "Benoni Beheyt (BEL)", "Jacques Anquetil (FRA)" ]
who are all of the winners? ||
ns-2278
col : stage | date | route | terrain | length | winner row 1 : 1 | 22 june | rennes - lisieux | plain stage | 215 km (134 mi) | edward sels (bel) row 2 : 2 | 23 june | lisieux - amiens | plain stage | 208 km (129 mi) | andre darrigade (fra) row 3 : 3a | 24 june | amiens - forest | plain stage | 197 km (122 mi) | bernard vandekerkhove (bel) row 4 : 3b | 24 june | forest - forest | team time trial | 21 km (13 mi) | kas-kaskol row 5 : 4 | 25 june | forest - metz | plain stage | 292 km (181 mi) | rudi altig (ger) row 6 : 5 | 26 june | metz - freiburg | plain stage | 161 km (100 mi) | willy derboven (bel) row 7 : 6 | 27 june | freiburg - besancon | plain stage | 200 km (120 mi) | henk nijdam (ned) row 8 : 7 | 28 june | besancon - thonon-les-bains | plain stage | 195 km (121 mi) | jan janssen (ned) row 9 : 8 | 29 june | thonon-les-bains - briancon | stage with mountain(s) | 249 km (155 mi) | federico bahamontes (esp) row 10 : 9 | 30 june | briancon - monaco | stage with mountain(s) | 239 km (149 mi) | jacques anquetil (fra) row 11 : 10a | 1 july | monaco - hyeres | plain stage | 187 km (116 mi) | jan janssen (ned) row 12 : 10b | 1 july | hyeres - toulon | individual time trial | 21 km (13 mi) | jacques anquetil (fra) row 13 : 11 | 2 july | toulon - montpellier | plain stage | 250 km (160 mi) | edward sels (bel) row 14 : 12 | 3 july | montpellier - perpignan | plain stage | 174 km (108 mi) | jo de roo (ned) row 15 : 13 | 4 july | perpignan - andorra | stage with mountain(s) | 170 km (110 mi) | julio jimenez (esp) row 16 : 14 | 6 july | andorra - toulouse | stage with mountain(s) | 186 km (116 mi) | edward sels (bel) row 17 : 15 | 7 july | toulouse - luchon | stage with mountain(s) | 203 km (126 mi) | raymond poulidor (fra) row 18 : 16 | 8 july | luchon - pau | stage with mountain(s) | 197 km (122 mi) | federico bahamontes (esp) row 19 : 17 | 9 july | peyrehorade - bayonne | individual time trial | 43 km (27 mi) | jacques anquetil (fra) row 20 : 18 | 10 july | bayonne - bordeaux | plain stage | 187 km (116 mi) | andre darrigade (fra) row 21 : 19 | 11 july | bordeaux - brive | plain stage | 215 km (134 mi) | edward sels (bel) row 22 : 20 | 12 july | brive - puy de dome | stage with mountain(s) | 217 km (135 mi) | julio jimenez (esp) row 23 : 21 | 13 july | clermont-ferrand - orleans | plain stage | 311 km (193 mi) | jean stablinski (fra) row 24 : 22a | 14 july | orleans - versailles | plain stage | 119 km (74 mi) | benoni beheyt (bel) row 25 : 22b | 14 july | versailles - paris | individual time trial | 27 km (17 mi) | jacques anquetil (fra)
table_csv/203_44.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 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, 16, 17, 18, 19, 20, 21, 22, 23, 24 ] }
[ "who are all of the winners?", "and their recorded lengths?" ]
1
215 km (134 mi), 208 km (129 mi), 197 km (122 mi), 21 km (13 mi), 292 km (181 mi), 161 km (100 mi), 200 km (120 mi), 195 km (121 mi), 249 km (155 mi), 239 km (149 mi), 187 km (116 mi), 21 km (13 mi), 250 km (160 mi), 174 km (108 mi), 170 km (110 mi), 186 km (116 mi), 203 km (126 mi), 197 km (122 mi), 43 km (27 mi), 187 km (116 mi), 215 km (134 mi), 217 km (135 mi), 311 km (193 mi), 119 km (74 mi), 27 km (17 mi)
[ "Stage", "Date", "Route", "Terrain", "Length", "Winner" ]
and their recorded lengths?
[ [ "1", "22 June", "Rennes - Lisieux", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "2", "23 June", "Lisieux - Amiens", "Plain stage", "208 km (129 mi)", "Andre Darrigade (FRA)" ], [ "3A", "24 June", "Amiens - Forest", "Plain stage", "197 km (122 mi)", "Bernard Vandekerkhove (BEL)" ], [ "3B", "24 June", "Forest - Forest", "Team time trial", "21 km (13 mi)", "Kas-Kaskol" ], [ "4", "25 June", "Forest - Metz", "Plain stage", "292 km (181 mi)", "Rudi Altig (GER)" ], [ "5", "26 June", "Metz - Freiburg", "Plain stage", "161 km (100 mi)", "Willy Derboven (BEL)" ], [ "6", "27 June", "Freiburg - Besancon", "Plain stage", "200 km (120 mi)", "Henk Nijdam (NED)" ], [ "7", "28 June", "Besancon - Thonon-les-Bains", "Plain stage", "195 km (121 mi)", "Jan Janssen (NED)" ], [ "8", "29 June", "Thonon-les-Bains - Briancon", "Stage with mountain(s)", "249 km (155 mi)", "Federico Bahamontes (ESP)" ], [ "9", "30 June", "Briancon - Monaco", "Stage with mountain(s)", "239 km (149 mi)", "Jacques Anquetil (FRA)" ], [ "10A", "1 July", "Monaco - Hyeres", "Plain stage", "187 km (116 mi)", "Jan Janssen (NED)" ], [ "10B", "1 July", "Hyeres - Toulon", "Individual time trial", "21 km (13 mi)", "Jacques Anquetil (FRA)" ], [ "11", "2 July", "Toulon - Montpellier", "Plain stage", "250 km (160 mi)", "Edward Sels (BEL)" ], [ "12", "3 July", "Montpellier - Perpignan", "Plain stage", "174 km (108 mi)", "Jo de Roo (NED)" ], [ "13", "4 July", "Perpignan - Andorra", "Stage with mountain(s)", "170 km (110 mi)", "Julio Jimenez (ESP)" ], [ "14", "6 July", "Andorra - Toulouse", "Stage with mountain(s)", "186 km (116 mi)", "Edward Sels (BEL)" ], [ "15", "7 July", "Toulouse - Luchon", "Stage with mountain(s)", "203 km (126 mi)", "Raymond Poulidor (FRA)" ], [ "16", "8 July", "Luchon - Pau", "Stage with mountain(s)", "197 km (122 mi)", "Federico Bahamontes (ESP)" ], [ "17", "9 July", "Peyrehorade - Bayonne", "Individual time trial", "43 km (27 mi)", "Jacques Anquetil (FRA)" ], [ "18", "10 July", "Bayonne - Bordeaux", "Plain stage", "187 km (116 mi)", "Andre Darrigade (FRA)" ], [ "19", "11 July", "Bordeaux - Brive", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "20", "12 July", "Brive - Puy de Dome", "Stage with mountain(s)", "217 km (135 mi)", "Julio Jimenez (ESP)" ], [ "21", "13 July", "Clermont-Ferrand - Orleans", "Plain stage", "311 km (193 mi)", "Jean Stablinski (FRA)" ], [ "22A", "14 July", "Orleans - Versailles", "Plain stage", "119 km (74 mi)", "Benoni Beheyt (BEL)" ], [ "22B", "14 July", "Versailles - Paris", "Individual time trial", "27 km (17 mi)", "Jacques Anquetil (FRA)" ] ]
[ "215 km (134 mi)", "208 km (129 mi)", "197 km (122 mi)", "21 km (13 mi)", "292 km (181 mi)", "161 km (100 mi)", "200 km (120 mi)", "195 km (121 mi)", "249 km (155 mi)", "239 km (149 mi)", "187 km (116 mi)", "21 km (13 mi)", "250 km (160 mi)", "174 km (108 mi)", "170 km (110 mi)", "186 km (116 mi)", "203 km (126 mi)", "197 km (122 mi)", "43 km (27 mi)", "187 km (116 mi)", "215 km (134 mi)", "217 km (135 mi)", "311 km (193 mi)", "119 km (74 mi)", "27 km (17 mi)" ]
and their recorded lengths? || who are all of the winners?
ns-2278
col : stage | date | route | terrain | length | winner row 1 : 1 | 22 june | rennes - lisieux | plain stage | 215 km (134 mi) | edward sels (bel) row 2 : 2 | 23 june | lisieux - amiens | plain stage | 208 km (129 mi) | andre darrigade (fra) row 3 : 3a | 24 june | amiens - forest | plain stage | 197 km (122 mi) | bernard vandekerkhove (bel) row 4 : 3b | 24 june | forest - forest | team time trial | 21 km (13 mi) | kas-kaskol row 5 : 4 | 25 june | forest - metz | plain stage | 292 km (181 mi) | rudi altig (ger) row 6 : 5 | 26 june | metz - freiburg | plain stage | 161 km (100 mi) | willy derboven (bel) row 7 : 6 | 27 june | freiburg - besancon | plain stage | 200 km (120 mi) | henk nijdam (ned) row 8 : 7 | 28 june | besancon - thonon-les-bains | plain stage | 195 km (121 mi) | jan janssen (ned) row 9 : 8 | 29 june | thonon-les-bains - briancon | stage with mountain(s) | 249 km (155 mi) | federico bahamontes (esp) row 10 : 9 | 30 june | briancon - monaco | stage with mountain(s) | 239 km (149 mi) | jacques anquetil (fra) row 11 : 10a | 1 july | monaco - hyeres | plain stage | 187 km (116 mi) | jan janssen (ned) row 12 : 10b | 1 july | hyeres - toulon | individual time trial | 21 km (13 mi) | jacques anquetil (fra) row 13 : 11 | 2 july | toulon - montpellier | plain stage | 250 km (160 mi) | edward sels (bel) row 14 : 12 | 3 july | montpellier - perpignan | plain stage | 174 km (108 mi) | jo de roo (ned) row 15 : 13 | 4 july | perpignan - andorra | stage with mountain(s) | 170 km (110 mi) | julio jimenez (esp) row 16 : 14 | 6 july | andorra - toulouse | stage with mountain(s) | 186 km (116 mi) | edward sels (bel) row 17 : 15 | 7 july | toulouse - luchon | stage with mountain(s) | 203 km (126 mi) | raymond poulidor (fra) row 18 : 16 | 8 july | luchon - pau | stage with mountain(s) | 197 km (122 mi) | federico bahamontes (esp) row 19 : 17 | 9 july | peyrehorade - bayonne | individual time trial | 43 km (27 mi) | jacques anquetil (fra) row 20 : 18 | 10 july | bayonne - bordeaux | plain stage | 187 km (116 mi) | andre darrigade (fra) row 21 : 19 | 11 july | bordeaux - brive | plain stage | 215 km (134 mi) | edward sels (bel) row 22 : 20 | 12 july | brive - puy de dome | stage with mountain(s) | 217 km (135 mi) | julio jimenez (esp) row 23 : 21 | 13 july | clermont-ferrand - orleans | plain stage | 311 km (193 mi) | jean stablinski (fra) row 24 : 22a | 14 july | orleans - versailles | plain stage | 119 km (74 mi) | benoni beheyt (bel) row 25 : 22b | 14 july | versailles - paris | individual time trial | 27 km (17 mi) | jacques anquetil (fra)
table_csv/203_44.csv
2
{ "column_index": [ 4 ], "row_index": [ 4 ] }
[ "who are all of the winners?", "and their recorded lengths?", "what about just for rudi altig (ger)?" ]
1
292 km (181 mi)
[ "Stage", "Date", "Route", "Terrain", "Length", "Winner" ]
what about just for rudi altig (ger)?
[ [ "1", "22 June", "Rennes - Lisieux", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "2", "23 June", "Lisieux - Amiens", "Plain stage", "208 km (129 mi)", "Andre Darrigade (FRA)" ], [ "3A", "24 June", "Amiens - Forest", "Plain stage", "197 km (122 mi)", "Bernard Vandekerkhove (BEL)" ], [ "3B", "24 June", "Forest - Forest", "Team time trial", "21 km (13 mi)", "Kas-Kaskol" ], [ "4", "25 June", "Forest - Metz", "Plain stage", "292 km (181 mi)", "Rudi Altig (GER)" ], [ "5", "26 June", "Metz - Freiburg", "Plain stage", "161 km (100 mi)", "Willy Derboven (BEL)" ], [ "6", "27 June", "Freiburg - Besancon", "Plain stage", "200 km (120 mi)", "Henk Nijdam (NED)" ], [ "7", "28 June", "Besancon - Thonon-les-Bains", "Plain stage", "195 km (121 mi)", "Jan Janssen (NED)" ], [ "8", "29 June", "Thonon-les-Bains - Briancon", "Stage with mountain(s)", "249 km (155 mi)", "Federico Bahamontes (ESP)" ], [ "9", "30 June", "Briancon - Monaco", "Stage with mountain(s)", "239 km (149 mi)", "Jacques Anquetil (FRA)" ], [ "10A", "1 July", "Monaco - Hyeres", "Plain stage", "187 km (116 mi)", "Jan Janssen (NED)" ], [ "10B", "1 July", "Hyeres - Toulon", "Individual time trial", "21 km (13 mi)", "Jacques Anquetil (FRA)" ], [ "11", "2 July", "Toulon - Montpellier", "Plain stage", "250 km (160 mi)", "Edward Sels (BEL)" ], [ "12", "3 July", "Montpellier - Perpignan", "Plain stage", "174 km (108 mi)", "Jo de Roo (NED)" ], [ "13", "4 July", "Perpignan - Andorra", "Stage with mountain(s)", "170 km (110 mi)", "Julio Jimenez (ESP)" ], [ "14", "6 July", "Andorra - Toulouse", "Stage with mountain(s)", "186 km (116 mi)", "Edward Sels (BEL)" ], [ "15", "7 July", "Toulouse - Luchon", "Stage with mountain(s)", "203 km (126 mi)", "Raymond Poulidor (FRA)" ], [ "16", "8 July", "Luchon - Pau", "Stage with mountain(s)", "197 km (122 mi)", "Federico Bahamontes (ESP)" ], [ "17", "9 July", "Peyrehorade - Bayonne", "Individual time trial", "43 km (27 mi)", "Jacques Anquetil (FRA)" ], [ "18", "10 July", "Bayonne - Bordeaux", "Plain stage", "187 km (116 mi)", "Andre Darrigade (FRA)" ], [ "19", "11 July", "Bordeaux - Brive", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "20", "12 July", "Brive - Puy de Dome", "Stage with mountain(s)", "217 km (135 mi)", "Julio Jimenez (ESP)" ], [ "21", "13 July", "Clermont-Ferrand - Orleans", "Plain stage", "311 km (193 mi)", "Jean Stablinski (FRA)" ], [ "22A", "14 July", "Orleans - Versailles", "Plain stage", "119 km (74 mi)", "Benoni Beheyt (BEL)" ], [ "22B", "14 July", "Versailles - Paris", "Individual time trial", "27 km (17 mi)", "Jacques Anquetil (FRA)" ] ]
[ "292 km (181 mi)" ]
what about just for rudi altig (ger)? || and their recorded lengths? | who are all of the winners?
ns-2278
col : stage | date | route | terrain | length | winner row 1 : 1 | 22 june | rennes - lisieux | plain stage | 215 km (134 mi) | edward sels (bel) row 2 : 2 | 23 june | lisieux - amiens | plain stage | 208 km (129 mi) | andre darrigade (fra) row 3 : 3a | 24 june | amiens - forest | plain stage | 197 km (122 mi) | bernard vandekerkhove (bel) row 4 : 3b | 24 june | forest - forest | team time trial | 21 km (13 mi) | kas-kaskol row 5 : 4 | 25 june | forest - metz | plain stage | 292 km (181 mi) | rudi altig (ger) row 6 : 5 | 26 june | metz - freiburg | plain stage | 161 km (100 mi) | willy derboven (bel) row 7 : 6 | 27 june | freiburg - besancon | plain stage | 200 km (120 mi) | henk nijdam (ned) row 8 : 7 | 28 june | besancon - thonon-les-bains | plain stage | 195 km (121 mi) | jan janssen (ned) row 9 : 8 | 29 june | thonon-les-bains - briancon | stage with mountain(s) | 249 km (155 mi) | federico bahamontes (esp) row 10 : 9 | 30 june | briancon - monaco | stage with mountain(s) | 239 km (149 mi) | jacques anquetil (fra) row 11 : 10a | 1 july | monaco - hyeres | plain stage | 187 km (116 mi) | jan janssen (ned) row 12 : 10b | 1 july | hyeres - toulon | individual time trial | 21 km (13 mi) | jacques anquetil (fra) row 13 : 11 | 2 july | toulon - montpellier | plain stage | 250 km (160 mi) | edward sels (bel) row 14 : 12 | 3 july | montpellier - perpignan | plain stage | 174 km (108 mi) | jo de roo (ned) row 15 : 13 | 4 july | perpignan - andorra | stage with mountain(s) | 170 km (110 mi) | julio jimenez (esp) row 16 : 14 | 6 july | andorra - toulouse | stage with mountain(s) | 186 km (116 mi) | edward sels (bel) row 17 : 15 | 7 july | toulouse - luchon | stage with mountain(s) | 203 km (126 mi) | raymond poulidor (fra) row 18 : 16 | 8 july | luchon - pau | stage with mountain(s) | 197 km (122 mi) | federico bahamontes (esp) row 19 : 17 | 9 july | peyrehorade - bayonne | individual time trial | 43 km (27 mi) | jacques anquetil (fra) row 20 : 18 | 10 july | bayonne - bordeaux | plain stage | 187 km (116 mi) | andre darrigade (fra) row 21 : 19 | 11 july | bordeaux - brive | plain stage | 215 km (134 mi) | edward sels (bel) row 22 : 20 | 12 july | brive - puy de dome | stage with mountain(s) | 217 km (135 mi) | julio jimenez (esp) row 23 : 21 | 13 july | clermont-ferrand - orleans | plain stage | 311 km (193 mi) | jean stablinski (fra) row 24 : 22a | 14 july | orleans - versailles | plain stage | 119 km (74 mi) | benoni beheyt (bel) row 25 : 22b | 14 july | versailles - paris | individual time trial | 27 km (17 mi) | jacques anquetil (fra)
table_csv/203_44.csv
0
{ "column_index": [ 0 ], "row_index": [ 4 ] }
[ "what stage was won by rudi altig?" ]
2
4
[ "Stage", "Date", "Route", "Terrain", "Length", "Winner" ]
what stage was won by rudi altig?
[ [ "1", "22 June", "Rennes - Lisieux", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "2", "23 June", "Lisieux - Amiens", "Plain stage", "208 km (129 mi)", "Andre Darrigade (FRA)" ], [ "3A", "24 June", "Amiens - Forest", "Plain stage", "197 km (122 mi)", "Bernard Vandekerkhove (BEL)" ], [ "3B", "24 June", "Forest - Forest", "Team time trial", "21 km (13 mi)", "Kas-Kaskol" ], [ "4", "25 June", "Forest - Metz", "Plain stage", "292 km (181 mi)", "Rudi Altig (GER)" ], [ "5", "26 June", "Metz - Freiburg", "Plain stage", "161 km (100 mi)", "Willy Derboven (BEL)" ], [ "6", "27 June", "Freiburg - Besancon", "Plain stage", "200 km (120 mi)", "Henk Nijdam (NED)" ], [ "7", "28 June", "Besancon - Thonon-les-Bains", "Plain stage", "195 km (121 mi)", "Jan Janssen (NED)" ], [ "8", "29 June", "Thonon-les-Bains - Briancon", "Stage with mountain(s)", "249 km (155 mi)", "Federico Bahamontes (ESP)" ], [ "9", "30 June", "Briancon - Monaco", "Stage with mountain(s)", "239 km (149 mi)", "Jacques Anquetil (FRA)" ], [ "10A", "1 July", "Monaco - Hyeres", "Plain stage", "187 km (116 mi)", "Jan Janssen (NED)" ], [ "10B", "1 July", "Hyeres - Toulon", "Individual time trial", "21 km (13 mi)", "Jacques Anquetil (FRA)" ], [ "11", "2 July", "Toulon - Montpellier", "Plain stage", "250 km (160 mi)", "Edward Sels (BEL)" ], [ "12", "3 July", "Montpellier - Perpignan", "Plain stage", "174 km (108 mi)", "Jo de Roo (NED)" ], [ "13", "4 July", "Perpignan - Andorra", "Stage with mountain(s)", "170 km (110 mi)", "Julio Jimenez (ESP)" ], [ "14", "6 July", "Andorra - Toulouse", "Stage with mountain(s)", "186 km (116 mi)", "Edward Sels (BEL)" ], [ "15", "7 July", "Toulouse - Luchon", "Stage with mountain(s)", "203 km (126 mi)", "Raymond Poulidor (FRA)" ], [ "16", "8 July", "Luchon - Pau", "Stage with mountain(s)", "197 km (122 mi)", "Federico Bahamontes (ESP)" ], [ "17", "9 July", "Peyrehorade - Bayonne", "Individual time trial", "43 km (27 mi)", "Jacques Anquetil (FRA)" ], [ "18", "10 July", "Bayonne - Bordeaux", "Plain stage", "187 km (116 mi)", "Andre Darrigade (FRA)" ], [ "19", "11 July", "Bordeaux - Brive", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "20", "12 July", "Brive - Puy de Dome", "Stage with mountain(s)", "217 km (135 mi)", "Julio Jimenez (ESP)" ], [ "21", "13 July", "Clermont-Ferrand - Orleans", "Plain stage", "311 km (193 mi)", "Jean Stablinski (FRA)" ], [ "22A", "14 July", "Orleans - Versailles", "Plain stage", "119 km (74 mi)", "Benoni Beheyt (BEL)" ], [ "22B", "14 July", "Versailles - Paris", "Individual time trial", "27 km (17 mi)", "Jacques Anquetil (FRA)" ] ]
[ "4" ]
what stage was won by rudi altig? ||
ns-2278
col : stage | date | route | terrain | length | winner row 1 : 1 | 22 june | rennes - lisieux | plain stage | 215 km (134 mi) | edward sels (bel) row 2 : 2 | 23 june | lisieux - amiens | plain stage | 208 km (129 mi) | andre darrigade (fra) row 3 : 3a | 24 june | amiens - forest | plain stage | 197 km (122 mi) | bernard vandekerkhove (bel) row 4 : 3b | 24 june | forest - forest | team time trial | 21 km (13 mi) | kas-kaskol row 5 : 4 | 25 june | forest - metz | plain stage | 292 km (181 mi) | rudi altig (ger) row 6 : 5 | 26 june | metz - freiburg | plain stage | 161 km (100 mi) | willy derboven (bel) row 7 : 6 | 27 june | freiburg - besancon | plain stage | 200 km (120 mi) | henk nijdam (ned) row 8 : 7 | 28 june | besancon - thonon-les-bains | plain stage | 195 km (121 mi) | jan janssen (ned) row 9 : 8 | 29 june | thonon-les-bains - briancon | stage with mountain(s) | 249 km (155 mi) | federico bahamontes (esp) row 10 : 9 | 30 june | briancon - monaco | stage with mountain(s) | 239 km (149 mi) | jacques anquetil (fra) row 11 : 10a | 1 july | monaco - hyeres | plain stage | 187 km (116 mi) | jan janssen (ned) row 12 : 10b | 1 july | hyeres - toulon | individual time trial | 21 km (13 mi) | jacques anquetil (fra) row 13 : 11 | 2 july | toulon - montpellier | plain stage | 250 km (160 mi) | edward sels (bel) row 14 : 12 | 3 july | montpellier - perpignan | plain stage | 174 km (108 mi) | jo de roo (ned) row 15 : 13 | 4 july | perpignan - andorra | stage with mountain(s) | 170 km (110 mi) | julio jimenez (esp) row 16 : 14 | 6 july | andorra - toulouse | stage with mountain(s) | 186 km (116 mi) | edward sels (bel) row 17 : 15 | 7 july | toulouse - luchon | stage with mountain(s) | 203 km (126 mi) | raymond poulidor (fra) row 18 : 16 | 8 july | luchon - pau | stage with mountain(s) | 197 km (122 mi) | federico bahamontes (esp) row 19 : 17 | 9 july | peyrehorade - bayonne | individual time trial | 43 km (27 mi) | jacques anquetil (fra) row 20 : 18 | 10 july | bayonne - bordeaux | plain stage | 187 km (116 mi) | andre darrigade (fra) row 21 : 19 | 11 july | bordeaux - brive | plain stage | 215 km (134 mi) | edward sels (bel) row 22 : 20 | 12 july | brive - puy de dome | stage with mountain(s) | 217 km (135 mi) | julio jimenez (esp) row 23 : 21 | 13 july | clermont-ferrand - orleans | plain stage | 311 km (193 mi) | jean stablinski (fra) row 24 : 22a | 14 july | orleans - versailles | plain stage | 119 km (74 mi) | benoni beheyt (bel) row 25 : 22b | 14 july | versailles - paris | individual time trial | 27 km (17 mi) | jacques anquetil (fra)
table_csv/203_44.csv
1
{ "column_index": [ 4 ], "row_index": [ 4 ] }
[ "what stage was won by rudi altig?", "how long was stage 4?" ]
2
292 km (181 mi)
[ "Stage", "Date", "Route", "Terrain", "Length", "Winner" ]
how long was stage 4?
[ [ "1", "22 June", "Rennes - Lisieux", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "2", "23 June", "Lisieux - Amiens", "Plain stage", "208 km (129 mi)", "Andre Darrigade (FRA)" ], [ "3A", "24 June", "Amiens - Forest", "Plain stage", "197 km (122 mi)", "Bernard Vandekerkhove (BEL)" ], [ "3B", "24 June", "Forest - Forest", "Team time trial", "21 km (13 mi)", "Kas-Kaskol" ], [ "4", "25 June", "Forest - Metz", "Plain stage", "292 km (181 mi)", "Rudi Altig (GER)" ], [ "5", "26 June", "Metz - Freiburg", "Plain stage", "161 km (100 mi)", "Willy Derboven (BEL)" ], [ "6", "27 June", "Freiburg - Besancon", "Plain stage", "200 km (120 mi)", "Henk Nijdam (NED)" ], [ "7", "28 June", "Besancon - Thonon-les-Bains", "Plain stage", "195 km (121 mi)", "Jan Janssen (NED)" ], [ "8", "29 June", "Thonon-les-Bains - Briancon", "Stage with mountain(s)", "249 km (155 mi)", "Federico Bahamontes (ESP)" ], [ "9", "30 June", "Briancon - Monaco", "Stage with mountain(s)", "239 km (149 mi)", "Jacques Anquetil (FRA)" ], [ "10A", "1 July", "Monaco - Hyeres", "Plain stage", "187 km (116 mi)", "Jan Janssen (NED)" ], [ "10B", "1 July", "Hyeres - Toulon", "Individual time trial", "21 km (13 mi)", "Jacques Anquetil (FRA)" ], [ "11", "2 July", "Toulon - Montpellier", "Plain stage", "250 km (160 mi)", "Edward Sels (BEL)" ], [ "12", "3 July", "Montpellier - Perpignan", "Plain stage", "174 km (108 mi)", "Jo de Roo (NED)" ], [ "13", "4 July", "Perpignan - Andorra", "Stage with mountain(s)", "170 km (110 mi)", "Julio Jimenez (ESP)" ], [ "14", "6 July", "Andorra - Toulouse", "Stage with mountain(s)", "186 km (116 mi)", "Edward Sels (BEL)" ], [ "15", "7 July", "Toulouse - Luchon", "Stage with mountain(s)", "203 km (126 mi)", "Raymond Poulidor (FRA)" ], [ "16", "8 July", "Luchon - Pau", "Stage with mountain(s)", "197 km (122 mi)", "Federico Bahamontes (ESP)" ], [ "17", "9 July", "Peyrehorade - Bayonne", "Individual time trial", "43 km (27 mi)", "Jacques Anquetil (FRA)" ], [ "18", "10 July", "Bayonne - Bordeaux", "Plain stage", "187 km (116 mi)", "Andre Darrigade (FRA)" ], [ "19", "11 July", "Bordeaux - Brive", "Plain stage", "215 km (134 mi)", "Edward Sels (BEL)" ], [ "20", "12 July", "Brive - Puy de Dome", "Stage with mountain(s)", "217 km (135 mi)", "Julio Jimenez (ESP)" ], [ "21", "13 July", "Clermont-Ferrand - Orleans", "Plain stage", "311 km (193 mi)", "Jean Stablinski (FRA)" ], [ "22A", "14 July", "Orleans - Versailles", "Plain stage", "119 km (74 mi)", "Benoni Beheyt (BEL)" ], [ "22B", "14 July", "Versailles - Paris", "Individual time trial", "27 km (17 mi)", "Jacques Anquetil (FRA)" ] ]
[ "292 km (181 mi)" ]
how long was stage 4? || what stage was won by rudi altig?
ns-681
col : from | to | name | party | position row 1 : 1850 | 1862 | m. borgarelli d'ison | nan | colonel of infantry e.r. row 2 : 1862 | 1869 | jules alfred le tourneur du coudray | nan | first secretary for the minister of finance row 3 : 1869 | 1903 | stanislas le tourneur d'ison | nan | attached to the taxation administration of france row 4 : ? | ? | yves le tourneur d'ison | nan | doctor of juridical science row 5 : 1966 | 1989 | maurice lecoq | nan | market gardener row 6 : 1989 | 2008 | michel deuzet | se | farmer row 7 : 2008 | 2014 | patrice martin | se | bank officer
table_csv/201_1.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "what are all the mayor's names?" ]
0
m. borgarelli d'ison, jules alfred le tourneur du coudray, stanislas le tourneur d'ison, yves le tourneur d'ison, maurice lecoq, michel deuzet, patrice martin
[ "From", "To", "Name", "Party", "Position" ]
what are all the mayor's names?
[ [ "1850", "1862", "M. Borgarelli d'Ison", "nan", "Colonel of Infantry E.R." ], [ "1862", "1869", "Jules Alfred Le Tourneur du Coudray", "nan", "First Secretary for the Minister of Finance" ], [ "1869", "1903", "Stanislas Le Tourneur d'Ison", "nan", "Attached to the Taxation Administration of France" ], [ "?", "?", "Yves le Tourneur d'Ison", "nan", "Doctor of Juridical Science" ], [ "1966", "1989", "Maurice Lecoq", "nan", "Market gardener" ], [ "1989", "2008", "Michel Deuzet", "SE", "Farmer" ], [ "2008", "2014", "Patrice Martin", "SE", "Bank Officer" ] ]
[ "M. Borgarelli d'Ison", "Jules Alfred Le Tourneur du Coudray", "Stanislas Le Tourneur d'Ison", "Yves le Tourneur d'Ison", "Maurice Lecoq", "Michel Deuzet", "Patrice Martin" ]
what are all the mayor's names? ||
ns-681
col : from | to | name | party | position row 1 : 1850 | 1862 | m. borgarelli d'ison | nan | colonel of infantry e.r. row 2 : 1862 | 1869 | jules alfred le tourneur du coudray | nan | first secretary for the minister of finance row 3 : 1869 | 1903 | stanislas le tourneur d'ison | nan | attached to the taxation administration of france row 4 : ? | ? | yves le tourneur d'ison | nan | doctor of juridical science row 5 : 1966 | 1989 | maurice lecoq | nan | market gardener row 6 : 1989 | 2008 | michel deuzet | se | farmer row 7 : 2008 | 2014 | patrice martin | se | bank officer
table_csv/201_1.csv
1
{ "column_index": [ 2 ], "row_index": [ 6 ] }
[ "what are all the mayor's names?", "of these, which one is associated with the highest numbered to year?" ]
0
patrice martin
[ "From", "To", "Name", "Party", "Position" ]
of these, which one is associated with the highest numbered to year?
[ [ "1850", "1862", "M. Borgarelli d'Ison", "nan", "Colonel of Infantry E.R." ], [ "1862", "1869", "Jules Alfred Le Tourneur du Coudray", "nan", "First Secretary for the Minister of Finance" ], [ "1869", "1903", "Stanislas Le Tourneur d'Ison", "nan", "Attached to the Taxation Administration of France" ], [ "?", "?", "Yves le Tourneur d'Ison", "nan", "Doctor of Juridical Science" ], [ "1966", "1989", "Maurice Lecoq", "nan", "Market gardener" ], [ "1989", "2008", "Michel Deuzet", "SE", "Farmer" ], [ "2008", "2014", "Patrice Martin", "SE", "Bank Officer" ] ]
[ "Patrice Martin" ]
of these, which one is associated with the highest numbered to year? || what are all the mayor's names?
ns-681
col : from | to | name | party | position row 1 : 1850 | 1862 | m. borgarelli d'ison | nan | colonel of infantry e.r. row 2 : 1862 | 1869 | jules alfred le tourneur du coudray | nan | first secretary for the minister of finance row 3 : 1869 | 1903 | stanislas le tourneur d'ison | nan | attached to the taxation administration of france row 4 : ? | ? | yves le tourneur d'ison | nan | doctor of juridical science row 5 : 1966 | 1989 | maurice lecoq | nan | market gardener row 6 : 1989 | 2008 | michel deuzet | se | farmer row 7 : 2008 | 2014 | patrice martin | se | bank officer
table_csv/201_1.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "who are all the mayors?" ]
1
m. borgarelli d'ison, jules alfred le tourneur du coudray, stanislas le tourneur d'ison, yves le tourneur d'ison, maurice lecoq, michel deuzet, patrice martin
[ "From", "To", "Name", "Party", "Position" ]
who are all the mayors?
[ [ "1850", "1862", "M. Borgarelli d'Ison", "nan", "Colonel of Infantry E.R." ], [ "1862", "1869", "Jules Alfred Le Tourneur du Coudray", "nan", "First Secretary for the Minister of Finance" ], [ "1869", "1903", "Stanislas Le Tourneur d'Ison", "nan", "Attached to the Taxation Administration of France" ], [ "?", "?", "Yves le Tourneur d'Ison", "nan", "Doctor of Juridical Science" ], [ "1966", "1989", "Maurice Lecoq", "nan", "Market gardener" ], [ "1989", "2008", "Michel Deuzet", "SE", "Farmer" ], [ "2008", "2014", "Patrice Martin", "SE", "Bank Officer" ] ]
[ "M. Borgarelli d'Ison", "Jules Alfred Le Tourneur du Coudray", "Stanislas Le Tourneur d'Ison", "Yves le Tourneur d'Ison", "Maurice Lecoq", "Michel Deuzet", "Patrice Martin" ]
who are all the mayors? ||
ns-681
col : from | to | name | party | position row 1 : 1850 | 1862 | m. borgarelli d'ison | nan | colonel of infantry e.r. row 2 : 1862 | 1869 | jules alfred le tourneur du coudray | nan | first secretary for the minister of finance row 3 : 1869 | 1903 | stanislas le tourneur d'ison | nan | attached to the taxation administration of france row 4 : ? | ? | yves le tourneur d'ison | nan | doctor of juridical science row 5 : 1966 | 1989 | maurice lecoq | nan | market gardener row 6 : 1989 | 2008 | michel deuzet | se | farmer row 7 : 2008 | 2014 | patrice martin | se | bank officer
table_csv/201_1.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6 ] }
[ "who are all the mayors?", "did they they begin to serve?" ]
1
1850, 1862, 1869, ?, 1966, 1989, 2008
[ "From", "To", "Name", "Party", "Position" ]
did they they begin to serve?
[ [ "1850", "1862", "M. Borgarelli d'Ison", "nan", "Colonel of Infantry E.R." ], [ "1862", "1869", "Jules Alfred Le Tourneur du Coudray", "nan", "First Secretary for the Minister of Finance" ], [ "1869", "1903", "Stanislas Le Tourneur d'Ison", "nan", "Attached to the Taxation Administration of France" ], [ "?", "?", "Yves le Tourneur d'Ison", "nan", "Doctor of Juridical Science" ], [ "1966", "1989", "Maurice Lecoq", "nan", "Market gardener" ], [ "1989", "2008", "Michel Deuzet", "SE", "Farmer" ], [ "2008", "2014", "Patrice Martin", "SE", "Bank Officer" ] ]
[ "1850", "1862", "1869", "?", "1966", "1989", "2008" ]
did they they begin to serve? || who are all the mayors?
ns-681
col : from | to | name | party | position row 1 : 1850 | 1862 | m. borgarelli d'ison | nan | colonel of infantry e.r. row 2 : 1862 | 1869 | jules alfred le tourneur du coudray | nan | first secretary for the minister of finance row 3 : 1869 | 1903 | stanislas le tourneur d'ison | nan | attached to the taxation administration of france row 4 : ? | ? | yves le tourneur d'ison | nan | doctor of juridical science row 5 : 1966 | 1989 | maurice lecoq | nan | market gardener row 6 : 1989 | 2008 | michel deuzet | se | farmer row 7 : 2008 | 2014 | patrice martin | se | bank officer
table_csv/201_1.csv
2
{ "column_index": [ 2 ], "row_index": [ 6 ] }
[ "who are all the mayors?", "did they they begin to serve?", "who served most recently?" ]
1
patrice martin
[ "From", "To", "Name", "Party", "Position" ]
who served most recently?
[ [ "1850", "1862", "M. Borgarelli d'Ison", "nan", "Colonel of Infantry E.R." ], [ "1862", "1869", "Jules Alfred Le Tourneur du Coudray", "nan", "First Secretary for the Minister of Finance" ], [ "1869", "1903", "Stanislas Le Tourneur d'Ison", "nan", "Attached to the Taxation Administration of France" ], [ "?", "?", "Yves le Tourneur d'Ison", "nan", "Doctor of Juridical Science" ], [ "1966", "1989", "Maurice Lecoq", "nan", "Market gardener" ], [ "1989", "2008", "Michel Deuzet", "SE", "Farmer" ], [ "2008", "2014", "Patrice Martin", "SE", "Bank Officer" ] ]
[ "Patrice Martin" ]
who served most recently? || did they they begin to serve? | who are all the mayors?
ns-681
col : from | to | name | party | position row 1 : 1850 | 1862 | m. borgarelli d'ison | nan | colonel of infantry e.r. row 2 : 1862 | 1869 | jules alfred le tourneur du coudray | nan | first secretary for the minister of finance row 3 : 1869 | 1903 | stanislas le tourneur d'ison | nan | attached to the taxation administration of france row 4 : ? | ? | yves le tourneur d'ison | nan | doctor of juridical science row 5 : 1966 | 1989 | maurice lecoq | nan | market gardener row 6 : 1989 | 2008 | michel deuzet | se | farmer row 7 : 2008 | 2014 | patrice martin | se | bank officer
table_csv/201_1.csv
0
{ "column_index": [ 2, 2, 2 ], "row_index": [ 4, 5, 6 ] }
[ "what are the names of the mayors that were in office between 1966 and 2014?" ]
2
maurice lecoq, michel deuzet, patrice martin
[ "From", "To", "Name", "Party", "Position" ]
what are the names of the mayors that were in office between 1966 and 2014?
[ [ "1850", "1862", "M. Borgarelli d'Ison", "nan", "Colonel of Infantry E.R." ], [ "1862", "1869", "Jules Alfred Le Tourneur du Coudray", "nan", "First Secretary for the Minister of Finance" ], [ "1869", "1903", "Stanislas Le Tourneur d'Ison", "nan", "Attached to the Taxation Administration of France" ], [ "?", "?", "Yves le Tourneur d'Ison", "nan", "Doctor of Juridical Science" ], [ "1966", "1989", "Maurice Lecoq", "nan", "Market gardener" ], [ "1989", "2008", "Michel Deuzet", "SE", "Farmer" ], [ "2008", "2014", "Patrice Martin", "SE", "Bank Officer" ] ]
[ "Maurice Lecoq", "Michel Deuzet", "Patrice Martin" ]
what are the names of the mayors that were in office between 1966 and 2014? ||