id
stringclasses
19 values
question
stringclasses
19 values
answers
sequence
table
dict
aggregation_label
stringclasses
4 values
answer_coordinates
sequence
nt-0
What is the total average attendance at all USL First Division matches?
[ "36755" ]
{ "header": [ "Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup", "Avg. Attendance" ], "rows": [ [ "2001", "2", "USL A-League", "4th, Western", "Quarterfinals", "Did not qualify", "7,169" ], [ "2002", "2", "USL A-League", "2nd, Pacific", "1st Round", "Did not qualify", "6,260" ], [ "2003", "2", "USL A-League", "3rd, Pacific", "Did not qualify", "Did not qualify", "5,871" ], [ "2004", "2", "USL A-League", "1st, Western", "Quarterfinals", "4th Round", "5,628" ], [ "2005", "2", "USL First Division", "5th", "Quarterfinals", "4th Round", "6,028" ], [ "2006", "2", "USL First Division", "11th", "Did not qualify", "3rd Round", "5,575" ], [ "2007", "2", "USL First Division", "2nd", "Semifinals", "2nd Round", "6,851" ], [ "2008", "2", "USL First Division", "11th", "Did not qualify", "1st Round", "8,567" ], [ "2009", "2", "USL First Division", "1st", "Semifinals", "3rd Round", "9,734" ], [ "2010", "2", "USSF D-2 Pro League", "3rd, USL (3rd)", "Quarterfinals", "3rd Round", "10,727" ] ], "name": "csv/204-csv/590.tsv" }
SUM
[ [ 4, 6 ], [ 5, 6 ], [ 6, 6 ], [ 7, 6 ], [ 8, 6 ] ]
nt-1
What events have there been in the World Youth Championships?
[ "400 m", "Medley relay" ]
{ "header": [ "Year", "Competition", "Venue", "Position", "Event", "Notes" ], "rows": [ [ "2001", "World Youth Championships", "Debrecen, Hungary", "2nd", "400 m", "47.12" ], [ "2001", "World Youth Championships", "Debrecen, Hungary", "1st", "Medley relay", "1:50.46" ], [ "2001", "European Junior Championships", "Grosseto, Italy", "1st", "4x400 m relay", "3:06.12" ], [ "2003", "European Junior Championships", "Tampere, Finland", "3rd", "400 m", "46.69" ], [ "2003", "European Junior Championships", "Tampere, Finland", "2nd", "4x400 m relay", "3:08.62" ], [ "2005", "European U23 Championships", "Erfurt, Germany", "11th (sf)", "400 m", "46.62" ], [ "2005", "European U23 Championships", "Erfurt, Germany", "1st", "4x400 m relay", "3:04.41" ], [ "2005", "Universiade", "Izmir, Turkey", "7th", "400 m", "46.89" ], [ "2005", "Universiade", "Izmir, Turkey", "1st", "4x400 m relay", "3:02.57" ], [ "2006", "World Indoor Championships", "Moscow, Russia", "2nd (h)", "4x400 m relay", "3:06.10" ], [ "2006", "European Championships", "Gothenburg, Sweden", "3rd", "4x400 m relay", "3:01.73" ], [ "2007", "European Indoor Championships", "Birmingham, United Kingdom", "3rd", "4x400 m relay", "3:08.14" ], [ "2007", "Universiade", "Bangkok, Thailand", "7th", "400 m", "46.85" ], [ "2007", "Universiade", "Bangkok, Thailand", "1st", "4x400 m relay", "3:02.05" ], [ "2008", "World Indoor Championships", "Valencia, Spain", "4th", "4x400 m relay", "3:08.76" ], [ "2008", "Olympic Games", "Beijing, China", "7th", "4x400 m relay", "3:00.32" ], [ "2009", "Universiade", "Belgrade, Serbia", "2nd", "4x400 m relay", "3:05.69" ] ], "name": "csv/204-csv/622.tsv" }
SUM
[ [ 0, 4 ], [ 1, 4 ] ]
nt-4
What is the total attendance in May 1988?
[ "91156" ]
{ "header": [ "Date", "Opponent", "Venue", "Result", "Attendance", "Scorers" ], "rows": [ [ "15 August 1987", "Derby County", "Away", "0–1", "17,204", "—" ], [ "18 August 1987", "Coventry City", "Home", "0–1", "09,380", "—" ], [ "22 August 1987", "West Ham United", "Home", "2–2", "08,073", "Harford (2)" ], [ "29 August 1987", "Chelsea", "Away", "0–3", "16,075", "—" ], [ "31 August 1987", "Arsenal", "Home", "1–1", "08,745", "Wilson (pen)" ], [ "5 September 1987", "Oxford United", "Away", "5–2", "06,804", "Breacker, Harford, Hill, Nwajiobi, B. Stein" ], [ "12 September 1987", "Everton", "Home", "2–1", "08,124", "Hill, B. Stein" ], [ "19 September 1987", "Charlton Athletic", "Away", "0–1", "05,002", "—" ], [ "26 September 1987", "Queens Park Rangers", "Away", "0–2", "11,175", "—" ], [ "3 October 1987", "Manchester United", "Home", "1–1", "09,137", "Harford" ], [ "10 October 1987", "Portsmouth", "Away", "1–3", "12,391", "Harford (pen)" ], [ "17 October 1987", "Wimbledon", "Home", "2–0", "07,018", "B. Stein, Wilson" ], [ "24 October 1987", "Liverpool", "Home", "0–1", "11,997", "—" ], [ "7 November 1987", "Newcastle United", "Home", "4–0", "07,638", "Nwajiobi, B. Stein, M. Stein (2)" ], [ "14 November 1987", "Sheffield Wednesday", "Away", "2–0", "16,960", "Allinson, M. Stein" ], [ "21 November 1987", "Tottenham Hotspur", "Home", "2–0", "10,091", "Allinson (2)" ], [ "5 December 1987", "Norwich City", "Home", "1–2", "07,002", "B. Stein" ], [ "12 December 1987", "Watford", "Away", "1–0", "12,152", "Foster" ], [ "18 December 1987", "Southampton", "Home", "2–2", "06,618", "Harford, McDonough" ], [ "26 December 1987", "Everton", "Away", "0–2", "32,128", "—" ], [ "28 December 1987", "Charlton Athletic", "Home", "1–0", "07,243", "Wilson" ], [ "1 January 1988", "Chelsea", "Home", "3–0", "08,018", "Harford, B. Stein, M. Stein" ], [ "2 January 1988", "West Ham United", "Away", "1–1", "16,716", "M. Stein" ], [ "16 January 1988", "Derby County", "Home", "1–0", "07,175", "McDonough" ], [ "6 February 1988", "Oxford United", "Home", "7–4", "08,063", "Harford (2), McDonough, B.Stein, M.Stein (3)" ], [ "13 February 1988", "Arsenal", "Away", "1–2", "22,612", "M.Stein" ], [ "5 March 1988", "Wimbledon", "Away", "0–2", "04,854", "—" ], [ "15 March 1988", "Coventry City", "Away", "0–4", "13,711", "—" ], [ "29 March 1988", "Portsmouth", "Home", "4–1", "06,740", "B.Stein, M.Stein, Wilson, own goal" ], [ "2 April 1988", "Newcastle United", "Away", "0–4", "20,752", "—" ], [ "5 April 1988", "Sheffield Wednesday", "Home", "2–2", "07,337", "McDonough, B. Stein" ], [ "12 April 1988", "Manchester United", "Away", "0–3", "28,830", "—" ], [ "19 April 1988", "Queens Park Rangers", "Home", "2–1", "06,735", "Foster, Wilson (pen)" ], [ "30 April 1988", "Norwich City", "Away", "2–2", "13,171", "M. Stein, Wilson (pen)" ], [ "2 May 1988", "Watford", "Home", "2–1", "10,409", "Oldfield, Wilson (pen)" ], [ "4 May 1988", "Tottenham Hotspur", "Away", "1–2", "15,437", "Grimes" ], [ "7 May 1988", "Southampton", "Away", "1–1", "12,722", "Wilson" ], [ "9 May 1988", "Liverpool", "Away", "1–1", "30,374", "Oldfield" ], [ "13 May 1988", "Nottingham Forest", "Home", "1–1", "09,108", "Donaghy" ], [ "15 May 1988", "Nottingham Forest", "Away", "1–1", "13,106", "Oldfield" ] ], "name": "csv/204-csv/495.tsv" }
SUM
[ [ 34, 4 ], [ 35, 4 ], [ 36, 4 ], [ 37, 4 ], [ 38, 4 ], [ 39, 4 ] ]
nt-5
Which name has been in the most parties?
[ "Peter Little" ]
{ "header": [ "", "Name", "Took office", "Left office", "Party", "Notes/Events" ], "rows": [ [ "11", "William McCreery", "March 4, 1803", "March 3, 1809", "Democratic Republican", "" ], [ "12", "Alexander McKim", "March 4, 1809", "March 3, 1815", "Democratic Republican", "" ], [ "13", "William Pinkney", "March 4, 1815", "April 18, 1816", "Democratic Republican", "Resigned to accept position as Minister Plenipotentiary to Russia" ], [ "14", "Peter Little", "September 2, 1816", "March 3, 1823", "Democratic Republican", "" ], [ "14", "Peter Little", "March 4, 1823", "March 3, 1825", "Jacksonian DR", "" ], [ "14", "Peter Little", "March 4, 1825", "March 3, 1829", "Adams", "" ], [ "15", "Benjamin C. Howard", "March 4, 1829", "March 3, 1833", "Jacksonian", "" ] ], "name": "csv/203-csv/705.tsv" }
COUNT
[ [ 3, 0 ], [ 4, 0 ], [ 5, 0 ] ]
nt-6
What was the score of the 84 tie no expressed as a ratio?
[ "0-4" ]
{ "header": [ "Tie no", "Home team", "Score", "Away team" ], "rows": [ [ "49", "Dalsjöfors GoIF (WC)", "1-4", "Varbergs GIF (D3)" ], [ "50", "Sjömarkens IF (D4)", "1-4", "BK Slätta Damm (D3)" ], [ "51", "IF Tymer (D4)", "0-3", "Kållereds SK (D3)" ], [ "52", "IFK Hjo (WC)", "0-4", "Nässjö FF (D3)" ], [ "53", "Falköpings FK (D4)", "2-0", "Gånghesters SK (D4)" ], [ "54", "Ankarsrums IS (WC)", "1-2", "Linköpings FF (D3)" ], [ "55", "Rödsle BK (D4)", "1-0 (gg)", "Skeninge IK (D4)" ], [ "56", "Lindås BK (D4)", "1-3", "Hultsfreds FK (D3)" ], [ "57", "Hvetlanda GIF (D4)", "0-1", "Åhus Horna BK (D3)" ], [ "58", "Bredaryds IK (D4)", "3-0", "Ulricehamns IFK (D3)" ], [ "59", "Hovslätts IK (D4)", "0-9", "Tidaholms GIF (D2)" ], [ "60", "Torpa AIS (D4)", "0-2", "BK Zeros (D3)" ], [ "61", "Fiskeby IF (WC)", "2-1 (gg)", "Västerviks FF (D4)" ], [ "62", "Gnösjö IF (D4)", "1-3", "Skövde AIK (D2)" ], [ "63", "Sävsjö FF (D4)", "5-3", "Skillingaryds IS (D4)" ], [ "64", "Boxholms IF (WC)", "1-2", "Tranås AIF (D3)" ], [ "65", "LSW IF (D4)", "2-1", "Husqvarna FF (D2)" ], [ "66", "Lessebo GoIF (D4)", "0-1", "Listerby IK (D4)" ], [ "67", "Rörviks IF (D4)", "0-2", "Lunds BK (D2)" ], [ "68", "Lagans AIK (D4)", "0-1", "Högaborgs BK (D2)" ], [ "69", "IF Eksjö (D4)", "1-4", "Kalmar FF (D2)" ], [ "70", "Limmareds IF (D4)", "1-5", "Växjö Norra IF (D2)" ], [ "71", "Bankeryds SK (D4)", "4-1", "Hjulsbro IK (D2)" ], [ "72", "Skultorps IF (D4)", "0-2", "BK Forward (D2)" ], [ "73", "Gullspångs IF (D4)", "0-7", "Rynninge IK (D3)" ], [ "74", "Skara FC (D4)", "0-4", "Karlslunds IF (D3)" ], [ "75", "Bråtens IK (D4)", "0-4", "Vivalla-Lundby IF (D3)" ], [ "76", "Finnerödja IF(D4)", "3-1", "IFK Mariestad (D4)" ], [ "77", "Sköllersta IF (D4)", "1-3", "Hemgårdarnas BK (D4)" ], [ "78", "Simonstorps IF (D4)", "0-5", "Nyköpings BIS (D2)" ], [ "79", "Ringarums IF (D4)", "1-4", "Värmbols FC (D4)" ], [ "80", "Dagsbergs IF (D4)", "1-0", "Malmköpings IF (D4)" ], [ "81", "Katrineholms SK (D4)", "0-2", "BK Kenty (D4)" ], [ "82", "Härad IF (D4)", "2-3 (gg)", "IFK Västerås (D2)" ], [ "83", "Kolsva IF (D4)", "0-3", "Karlstad BK (D2)" ], [ "84", "Laxå IF (D4)", "0-4", "IF Sylvia (D2)" ], [ "85", "Ransta IK (D4)", "1-3", "IFK Hallsberg (D4)" ], [ "86", "Skyllbergs IK (WC)", "0-4", "IFK Kristinehamn (D4)" ], [ "87", "Filipstads FF (D4)", "3-1", "Kungsörs SK (D4)" ], [ "88", "Hallstahammars SK (D4)", "0-7", "IFK Eskilstuna (D2)" ], [ "89", "BK Hird (D4)", "0-5", "Hargs BK (D2)" ], [ "90", "Vretstorps IF (WC)", "1-5", "IFK Ölme (D3)" ], [ "91", "Frövi IK (WC)", "1-9", "Skiljebo SK (D3)" ], [ "92", "IF Rune (WC)", "1-3", "Gnesta FF (D3)" ], [ "93", "Västerås BK 30 (WC)", "0-8", "Örebro SK Ungdom (D4)" ], [ "94", "VoIF Diana (WC)", "4-0", "Enskede IK (D4)" ], [ "95", "New Mill FF (WC)", "4-2", "Värtans SK (D3)" ], [ "96", "Runtuna IK/Löthen (WC)", "1-2", "Huddinge IF (D3)" ] ], "name": "csv/204-csv/361.tsv" }
-
[ [ 35, 2 ] ]
nt-7
What is the average depth?
[ "113" ]
{ "header": [ "Name in English", "Name in Turkish", "Area (km2)", "Depth", "Location (districts and/or provinces)" ], "rows": [ [ "Lake Van", "Van Gölü", "3755 km2", "451 m", "Van, Bitlis" ], [ "Lake Tuz", "Tuz Gölü", "1500 km2", "2 m", "Aksaray, Ankara, Konya" ], [ "Lake Beyşehir", "Beyşehir Gölü", "656 km2", "10 m", "Beyşehir in Konya, Isparta" ], [ "Lake Eğirdir", "Eğirdir Gölü", "482 km2", "", "Isparta" ], [ "Lake İznik", "İznik Gölü", "308 km2", "", "İznik in Bursa, Yalova" ], [ "Lake Burdur", "Burdur Gölü", "200 km2", "", "Burdur, Isparta" ], [ "Lake Manyas", "Manyas Gölü", "166 km2", "", "Balıkesir" ], [ "Lake Acıgöl", "Acıgöl", "153 km2", "", "Denizli, Afyonkarahisar" ], [ "Lake Uluabat", "Uluabat Gölü", "134 km2", "1–2 m", "Bursa" ], [ "Lake Çıldır", "Çıldır Gölü", "115 km2", "", "Ardahan, Kars" ], [ "Lake Palas Tuzla", "Palas Tuzla Gölü", "106 km2", "15 m", "Palas/Kayseri" ], [ "Lake Akşehir", "Akşehir Gölü", "105 km2", "", "Akşehir in Konya, Afyonkarahisar" ], [ "Lake Eber", "Eber Gölü", "104 km2", "", "Afyonkarahisar" ], [ "Lake Erçek", "Erçek Gölü", "98 km2", "", "Van" ], [ "Lake Hazar", "Hazar Gölü", "86 km2", "", "Elazığ" ], [ "Lake Bafa", "Bafa Gölü", "60 km2", "", "Aydın, Muğla" ], [ "Lake Köyceğiz", "Köyceğiz Gölü", "52 km2", "", "Köyceğiz in Muğla" ], [ "Lake Işıklı", "Işıklı Gölü", "49 km2", "", "Denizli" ], [ "Lake Nazik", "Nazik Gölü", "48 km2", "", "Bitlis" ], [ "Lake Sapanca", "Sapanca Gölü", "47 km2", "", "Sakarya Province" ], [ "Lake Salda", "Salda Gölü", "45 km2", "184 m", "Burdur" ], [ "Lake Yay", "Yay Gölü", "37 km2", "", "Kayseri" ], [ "Lake Akyatan", "Akyatan Gölü", "35 km2", "", "Adana" ], [ "Lake Balık", "Balık Gölü", "34 km2", "", "Doğubeyazıt in Ağrı" ], [ "Lake Marmara", "Marmara Gölü", "34 km2", "", "Salihli, Gölmarmara in Manisa" ], [ "Lake Çöl", "Çöl Gölü", "32 km2", "", "Ankara" ], [ "Lake Durusu (Lake Terkos)", "Durusu Gölü", "25 km2", "", "İstanbul" ], [ "Lake Karine", "Karine Gölü", "24 km2", "", "" ], [ "Lake Tuzla", "Tuzla Gölü", "23 km2", "", "Tuzla" ], [ "Lake Küçükçekmece", "Küçükçekmece Gölü", "16 km2", "", "Küçükçekmece, İstanbul" ], [ "Lake Yaraşlı", "Yaraşlı Gölü", "16 km2", "", "Burdur" ], [ "Lake Haçlı", "Haçlı Gölü", "16 km2", "", "Muş" ], [ "Lake Seyfe", "Seyfe Gölü", "15 km2", "", "Kırşehir" ], [ "Lake Akyayan", "Akyayan Gölü", "15 km2", "", "" ], [ "Lake Hozapin", "Hozapin Gölü", "14 km2", "", "" ], [ "Lake Arin", "Arin Gölü", "13 km2", "", "" ], [ "Lake Nemrut", "Nemrut Gölü", "12 km2", "", "Bitlis Province" ], [ "Lake Balık", "Balık Gölü", "12 km2", "", "" ], [ "Lake Büyükçekmece", "Büyükçekmece Gölü", "11 km2", "", "Büyükçekmece, Istanbul" ], [ "Lake Boluk", "Boluk Gölü", "11 km2", "", "" ], [ "Lake Akdoğan", "Akdoğan Gölü", "11 km2", "", "" ], [ "Lake Çavuşlu", "Çavuşlu Gölü", "9 km2", "", "" ], [ "Lake Düden", "Düden Gölü", "8 km2", "", "" ], [ "Lake Gala", "Gala Gölü", "8 km2", "", "Edirne" ], [ "Lake Karataş", "Karataş Gölü", "6 km2", "", "" ], [ "Lake Mogan", "Mogan Gölü", "6 km2", "", "Ankara" ], [ "Paradeniz", "Paradeniz", "4 km2", "", "Mersin" ], [ "Lake Eymir", "Eymir Gölü", "1.8 km2", "", "Ankara" ], [ "Lake Abant", "Abant Gölü", "1.28 km2", "18 m", "Bolu" ], [ "Lake Gölcük", "Gölcük Gölü", "1 km2", "", "İzmir" ] ], "name": "csv/204-csv/341.tsv" }
AVERAGE
[ [ 0, 3 ], [ 1, 3 ], [ 2, 3 ], [ 8, 3 ], [ 10, 3 ], [ 20, 3 ], [ 48, 3 ] ]
nt-10
Who had the most fastest lap?
[ "Raymond Roche" ]
{ "header": [ "Round", "Round", "Circuit", "Date", "Pole Position", "Fastest Lap", "Winning Rider" ], "rows": [ [ "1", "R1", "Jerez", "18 March", "Raymond Roche", "Stéphane Mertens", "Raymond Roche" ], [ "1", "R2", "Jerez", "18 March", "Raymond Roche", "Raymond Roche", "Raymond Roche" ], [ "2", "R1", "Donington", "16 April", "Giancarlo Falappa", "Rob Phillis", "Fred Merkel" ], [ "2", "R2", "Donington", "16 April", "Giancarlo Falappa", "Raymond Roche", "Giancarlo Falappa" ], [ "3", "R1", "Hungaroring", "30 April", "Malcolm Campbell", "Raymond Roche", "Fred Merkel" ], [ "3", "R2", "Hungaroring", "30 April", "Malcolm Campbell", "Fred Merkel", "Raymond Roche" ], [ "4", "R1", "Hockenheim", "6 May", "Raymond Roche", "Fred Merkel", "Fred Merkel" ], [ "4", "R2", "Hockenheim", "6 May", "Raymond Roche", "Raymond Roche", "Stéphane Mertens" ], [ "5", "R1", "Mosport", "3 June", "Giancarlo Falappa", "Raymond Roche", "Raymond Roche" ], [ "5", "R2", "Mosport", "3 June", "Giancarlo Falappa", "Jamie James", "Raymond Roche" ], [ "6", "R1", "Brainerd", "10 June", "Doug Chandler", "Doug Chandler", "Stéphane Mertens" ], [ "6", "R2", "Brainerd", "10 June", "Doug Chandler", "Fabrizio Pirovano", "Doug Chandler" ], [ "7", "R1", "Österreichring", "1 July", "Stéphane Mertens", "Rob McElnea", "Fabrizio Pirovano" ], [ "7", "R2", "Österreichring", "1 July", "Stéphane Mertens", "Stéphane Mertens", "Stéphane Mertens" ], [ "8", "R1", "Sugo", "26 August", "Raymond Roche", "Raymond Roche", "Raymond Roche" ], [ "8", "R2", "Sugo", "26 August", "Raymond Roche", "Peter Goddard", "Doug Chandler" ], [ "9", "R1", "Le Mans", "9 September", "Baldassarre Monti", "Raymond Roche", "Raymond Roche" ], [ "9", "R2", "Le Mans", "9 September", "Baldassarre Monti", "Jamie James", "Raymond Roche" ], [ "10", "R1", "Monza", "7 October", "Baldassarre Monti", "Rob Phillis", "Fabrizio Pirovano" ], [ "10", "R2", "Monza", "7 October", "Baldassarre Monti", "Rob Phillis", "Fabrizio Pirovano" ], [ "11", "R1", "Shah Alam", "4 November", "Rob Phillis", "Fabrizio Pirovano", "Fabrizio Pirovano" ], [ "11", "R2", "Shah Alam", "4 November", "Rob Phillis", "Raymond Roche", "Fabrizio Pirovano" ], [ "12", "R1", "Phillip Island", "11 November", "Peter Goddard", "Fabrizio Pirovano", "Peter Goddard" ], [ "12", "R2", "Phillip Island", "11 November", "Peter Goddard", "Malcolm Campbell", "Rob Phillis" ], [ "13", "R1", "Manfeild", "18 November", "Rob Phillis", "Brian Morrison", "Terry Rymer" ], [ "13", "R2", "Manfeild", "18 November", "Rob Phillis", "Raymond Roche", "Rob Phillis" ] ], "name": "csv/204-csv/253.tsv" }
COUNT
[ [ 1, 5 ], [ 3, 5 ], [ 4, 5 ], [ 7, 5 ], [ 8, 5 ], [ 14, 5 ], [ 16, 5 ], [ 21, 5 ], [ 25, 5 ] ]
nt-11
How many total competions were there?
[ "10" ]
{ "header": [ "Year", "Competition", "Venue", "Position", "Notes" ], "rows": [ [ "1996", "Olympic Games", "Atlanta, United States", "36th (q)", "5.55 m" ], [ "1998", "Asian Games", "Bangkok, Thailand", "8th", "6.07 m" ], [ "1999", "World Championships", "Seville, Spain", "23rd (q)", "6.40 m" ], [ "2000", "Olympic Games", "Sydney, Australia", "14th (q)", "6.57 m" ], [ "2001", "World Championships", "Edmonton, Canada", "13th (q)", "6.46 m" ], [ "2002", "Asian Championships", "Colombo, Sri Lanka", "1st", "6.61 m" ], [ "2002", "Asian Games", "Busan, South Korea", "3rd", "6.30 m" ], [ "2003", "World Championships", "Paris, France", "23rd (q)", "6.13 m" ], [ "2003", "Asian Championships", "Manila, Philippines", "6th", "6.23 m" ], [ "2004", "Olympic Games", "Athens, Greece", "11th", "6.53 m" ] ], "name": "csv/203-csv/646.tsv" }
COUNT
[ [ 0, 1 ], [ 1, 1 ], [ 2, 1 ], [ 3, 1 ], [ 4, 1 ], [ 5, 1 ], [ 6, 1 ], [ 7, 1 ], [ 8, 1 ], [ 9, 1 ] ]
nt-12
What is the first Prefecture?
[ "Tokushima Prefecture" ]
{ "header": [ "No.", "Temple", "Honzon (main image)", "City/Town/Village", "Prefecture" ], "rows": [ [ "1", "Ryōzen-ji (霊山寺)", "Shaka Nyorai", "Naruto", "Tokushima Prefecture" ], [ "2", "Gokuraku-ji (極楽寺)", "Amida Nyorai", "Naruto", "Tokushima Prefecture" ], [ "3", "Konsen-ji (金泉寺)", "Shaka Nyorai", "Itano", "Tokushima Prefecture" ], [ "4", "Dainichi-ji (大日寺)", "Dainichi Nyorai", "Itano", "Tokushima Prefecture" ], [ "5", "Jizō-ji (地蔵寺)", "Enmei Jizō Bosatsu", "Itano", "Tokushima Prefecture" ], [ "6", "Anraku-ji (安楽寺)", "Yakushi Nyorai", "Kamiita", "Tokushima Prefecture" ], [ "7", "Jūraku-ji (十楽寺)", "Amida Nyorai", "Awa", "Tokushima Prefecture" ], [ "8", "Kumadani-ji (熊谷寺)", "Senjū Kannon", "Awa", "Tokushima Prefecture" ], [ "9", "Hōrin-ji (法輪寺)", "Shaka Nyorai", "Awa", "Tokushima Prefecture" ], [ "10", "Kirihata-ji (切幡寺)", "Senjū Kannon", "Awa", "Tokushima Prefecture" ], [ "11", "Fujii-dera (藤井寺)", "Yakushi Nyorai", "Yoshinogawa", "Tokushima Prefecture" ], [ "12", "Shōsan-ji (焼山寺)", "Kokūzō Bosatsu", "Kamiyama", "Tokushima Prefecture" ], [ "13", "Dainichi-ji (大日寺)", "Jūichimen Kannon", "Tokushima", "Tokushima Prefecture" ], [ "14", "Jōraku-ji (常楽寺)", "Miroku Bosatsu", "Tokushima", "Tokushima Prefecture" ], [ "15", "Awa Kokubun-ji (阿波国分寺)", "Yakushi Nyorai", "Tokushima", "Tokushima Prefecture" ], [ "16", "Kannon-ji (観音寺)", "Senjū Kannon", "Tokushima", "Tokushima Prefecture" ], [ "17", "Ido-ji (井戸寺)", "Yakushi Nyorai", "Tokushima", "Tokushima Prefecture" ], [ "18", "Onzan-ji (恩山寺)", "Yakushi Nyorai", "Komatsushima", "Tokushima Prefecture" ], [ "19", "Tatsue-ji (立江寺)", "Jizō Bosatsu", "Komatsushima", "Tokushima Prefecture" ], [ "20", "Kakurin-ji (鶴林寺)", "Jizō Bosatsu", "Katsuura", "Tokushima Prefecture" ], [ "21", "Tairyūji (太竜寺)", "Kokūzō Bosatsu", "Anan", "Tokushima Prefecture" ], [ "22", "Byōdō-ji (平等寺)", "Yakushi Nyorai", "Anan", "Tokushima Prefecture" ], [ "23", "Yakuō-ji (薬王寺)", "Yakushi Nyorai", "Minami", "Tokushima Prefecture" ], [ "24", "Hotsumisaki-ji (最御崎寺)", "Kokūzō Bosatsu", "Muroto", "Kōchi Prefecture" ], [ "25", "Shinshō-ji (津照寺)", "Jizō Bosatsu", "Muroto", "Kōchi Prefecture" ], [ "26", "Kongōchō-ji (金剛頂寺)", "Yakushi Nyorai", "Muroto", "Kōchi Prefecture" ], [ "27", "Kōnomine-ji (神峰寺)", "Jūichimen Kannon", "Yasuda", "Kōchi Prefecture" ], [ "28", "Dainichi-ji (大日寺)", "Dainichi Nyorai", "Kōnan", "Kōchi Prefecture" ], [ "29", "Tosa Kokubun-ji (土佐国分寺)", "Senjū Kannon", "Nankoku", "Kōchi Prefecture" ], [ "30", "Zenrakuji (善楽寺)", "Amida Nyorai", "Kōchi", "Kōchi Prefecture" ], [ "31", "Chikurin-ji (竹林寺)", "Monju Bosatsu", "Kōchi", "Kōchi Prefecture" ], [ "32", "Zenjibu-ji (禅師峰寺)", "Jūichimen Kannon", "Nankoku", "Kōchi Prefecture" ], [ "33", "Sekkei-ji (雪蹊寺)", "Yakushi Nyorai", "Kōchi", "Kōchi Prefecture" ], [ "34", "Tanema-ji (種間寺)", "Yakushi Nyorai", "Haruno", "Kōchi Prefecture" ], [ "35", "Kiyotaki-ji (清滝寺)", "Yakushi Nyorai", "Tosa", "Kōchi Prefecture" ], [ "36", "Shōryū-ji (青竜寺)", "Fudō Myōō", "Tosa", "Kōchi Prefecture" ], [ "37", "Iwamoto-ji (岩本寺)", "Five Buddhas", "Shimanto", "Kōchi Prefecture" ], [ "38", "Kongōfuku-ji (金剛福寺)", "Senjū Kannon", "Tosashimizu", "Kōchi Prefecture" ], [ "39", "Enkō-ji (延光寺)", "Yakushi Nyorai", "Sukumo", "Kōchi Prefecture" ], [ "40", "Kanjizai-ji (観自在寺)", "Yakushi Nyorai", "Ainan", "Ehime Prefecture" ], [ "41", "Ryūkōji (竜光寺)", "Jūichimen Kannon", "Uwajima", "Ehime Prefecture" ], [ "42", "Butsumoku-ji (佛木寺)", "Dainichi Nyorai", "Uwajima", "Ehime Prefecture" ], [ "43", "Meiseki-ji (明石寺)", "Senjū Kannon", "Seiyo", "Ehime Prefecture" ], [ "44", "Daihō-ji (大宝寺)", "Jūichimen Kannon", "Kumakōgen", "Ehime Prefecture" ], [ "45", "Iwaya-ji (岩屋寺)", "Fudō Myōō", "Kumakōgen", "Ehime Prefecture" ], [ "46", "Jōruri-ji (浄瑠璃寺)", "Yakushi Nyorai", "Matsuyama", "Ehime Prefecture" ], [ "47", "Yasaka-ji (八坂寺)", "Amida Nyorai", "Matsuyama", "Ehime Prefecture" ], [ "48", "Sairin-ji (西林寺)", "Jūichimen Kannon", "Matsuyama", "Ehime Prefecture" ], [ "49", "Jōdo-ji (浄土寺)", "Shaka Nyorai", "Matsuyama", "Ehime Prefecture" ], [ "50", "Hanta-ji (繁多寺)", "Yakushi Nyorai", "Matsuyama", "Ehime Prefecture" ], [ "51", "Ishite-ji (石手寺)", "Yakushi Nyorai", "Matsuyama", "Ehime Prefecture" ], [ "52", "Taisan-ji (太山寺)", "Jūichimen Kannon", "Matsuyama", "Ehime Prefecture" ], [ "53", "Enmyō-ji (円明寺)", "Amida Nyorai", "Matsuyama", "Ehime Prefecture" ], [ "54", "Enmei-ji (延命寺)", "Fudō Myōō", "Imabari", "Ehime Prefecture" ], [ "55", "Nankōbō (南光坊)", "Daitsū-chishō Butsu", "Imabari", "Ehime Prefecture" ], [ "56", "Taisan-ji (泰山寺)", "Jizō Bosatsu", "Imabari", "Ehime Prefecture" ], [ "57", "Eifuku-ji (栄福寺)", "Amida Nyorai", "Imabari", "Ehime Prefecture" ], [ "58", "Senyū-ji (仙遊寺)", "Senjū Kannon", "Imabari", "Ehime Prefecture" ], [ "59", "Iyo Kokubun-ji (伊予国分寺)", "Yakushi Nyorai", "Imabari", "Ehime Prefecture" ], [ "60", "Yokomine-ji (横峰寺)", "Dainichi Nyorai", "Saijō", "Ehime Prefecture" ], [ "61", "Kōon-ji (香園寺)", "Dainichi Nyorai", "Saijō", "Ehime Prefecture" ], [ "62", "Hōju-ji (宝寿寺)", "Jūichimen Kannon", "Saijō", "Ehime Prefecture" ], [ "63", "Kichijō-ji (吉祥寺)", "Bishamonten", "Saijō", "Ehime Prefecture" ], [ "64", "Maegami-ji (前神寺)", "Amida Nyorai", "Saijō", "Ehime Prefecture" ], [ "65", "Sankaku-ji (三角寺)", "Jūichimen Kannon", "Shikokuchūō", "Ehime Prefecture" ], [ "66", "Unpen-ji (雲辺寺)", "Senjū Kannon", "Miyoshi", "Tokushima Prefecture" ], [ "67", "Daikō-ji (大興寺)", "Yakushi Nyorai", "Mitoyo", "Kagawa Prefecture" ], [ "68", "Jinne-in (神恵院)", "Amida Nyorai", "Kan'onji", "Kagawa Prefecture" ], [ "69", "Kannon-ji (観音寺)", "Shō Kannon", "Kan'onji", "Kagawa Prefecture" ], [ "70", "Motoyama-ji (本山寺)", "Batō Kannon", "Mitoyo", "Kagawa Prefecture" ], [ "71", "Iyadani-ji (弥谷寺)", "Senjū Kannon", "Mitoyo", "Kagawa Prefecture" ], [ "72", "Mandara-ji (曼荼羅寺)", "Dainichi Nyorai", "Zentsūji", "Kagawa Prefecture" ], [ "73", "Shusshakaji (出釈迦寺)", "Shaka Nyorai", "Zentsūji", "Kagawa Prefecture" ], [ "74", "Kōyama-ji (甲山寺)", "Yakushi Nyorai", "Zentsūji", "Kagawa Prefecture" ], [ "75", "Zentsū-ji (善通寺)", "Yakushi Nyorai", "Zentsūji", "Kagawa Prefecture" ], [ "76", "Konzō-ji (金倉寺)", "Yakushi Nyorai", "Zentsūji", "Kagawa Prefecture" ], [ "77", "Dōryū-ji (道隆寺)", "Yakushi Nyorai", "Tadotsu", "Kagawa Prefecture" ], [ "78", "Gōshō-ji (郷照寺)", "Amida Nyorai", "Utazu", "Kagawa Prefecture" ], [ "79", "Tennō-ji (天皇寺)", "Jūichimen Kannon", "Sakaide", "Kagawa Prefecture" ], [ "80", "Sanuki Kokubun-ji (讃岐国分寺)", "Jūichimen & Senjū Kannon", "Takamatsu", "Kagawa Prefecture" ], [ "81", "Shiromine-ji (白峯寺)", "Senjū Kannon", "Sakaide", "Kagawa Prefecture" ], [ "82", "Negoro-ji (根香寺)", "Senjū Kannon", "Takamatsu", "Kagawa Prefecture" ], [ "83", "Ichinomiya-ji (一宮寺)", "Shō Kannon", "Takamatsu", "Kagawa Prefecture" ], [ "84", "Yashima-ji (屋島寺)", "Jūichimen & Senjū Kannon", "Takamatsu", "Kagawa Prefecture" ], [ "85", "Yakuri-ji (八栗寺)", "Shō Kannon", "Takamatsu", "Kagawa Prefecture" ], [ "86", "Shido-ji (志度寺)", "Jūichimen Kannon", "Sanuki", "Kagawa Prefecture" ], [ "87", "Nagao-ji (長尾寺)", "Shō Kannon", "Sanuki", "Kagawa Prefecture" ], [ "88", "Ōkubo-ji (大窪寺)", "Yakushi Nyorai", "Sanuki", "Kagawa Prefecture" ] ], "name": "csv/204-csv/841.tsv" }
COUNT
[ [ 4, 0 ] ]
nt-13
What are all the classes in 1994-95?
[ "Menard", "Van Alstyne", "Wichita Falls", "Weslaco" ]
{ "header": [ "School Year", "Class A", "Class AA", "Class AAA", "Class AAAA", "Class AAAAA" ], "rows": [ [ "1994-95", "Menard", "Van Alstyne", "Cameron Yoe", "Wichita Falls", "Weslaco" ], [ "1995-96", "Era", "Coahoma", "Colorado City", "Livingston", "Duncanville" ], [ "1996-97", "Sulphur Bluff", "Marion", "Colorado City", "Snyder", "Duncanville" ], [ "1997-98", "Westbrook", "Edgewood", "Perryton", "San Angelo Lake View", "Flower Mound Marcus" ], [ "1998-99", "Graford", "Lindsay", "Hamshire-Fannett", "Brownwood", "Weslaco" ], [ "1999-2000", "Garden City", "Keene", "Giddings", "Friendswood", "College Station A&M Consolidated" ], [ "2000-01", "Granger", "Edgewood", "Midland Greenwood", "Friendswood", "College Station A&M Consolidated" ], [ "2001-02", "Lazbuddie", "Edgewood", "Giddings", "Friendswood", "Pasadena Dobie" ], [ "2002-03", "Rocksprings", "Rosebud-Lott", "Pearsall", "Harlingen South", "San Antonio Clark" ], [ "2003-04", "Lazbuddie", "Wall", "Hamshire-Fannett", "Friendswood", "Klein" ], [ "2004-05", "Loop", "Mount Pleasant Chapel Hill", "Llano", "Sherman", "College Station A&M Consolidated" ], [ "2005-06", "Wellington", "Centerville", "Hamshire-Fannett", "Brownwood", "Abilene Cooper" ], [ "2006-07", "Springlake-Earth", "Crawford", "Princeton", "Friendswood", "College Station A&M Consolidated" ], [ "2007-08", "Springlake-Earth", "Grandview", "Hamshire-Fannett", "Sherman", "Mission Sharyland" ], [ "2008-09", "Garden City", "Shelbyville", "Lubbock-Cooper", "Friendswood", "Humble Kingwood" ] ], "name": "csv/204-csv/133.tsv" }
COUNT
[ [ 1, 0 ], [ 2, 0 ], [ 3, 0 ], [ 4, 0 ], [ 5, 0 ] ]
nt-16
What is the average winning score?
[ "31" ]
{ "header": [ "Week", "Date", "Opponent", "Score", "Result", "Record" ], "rows": [ [ "1", "July 9", "vs. Saskatchewan Roughriders", "31–21", "Win", "1–0" ], [ "2", "July 16", "at Montreal Concordes", "36–0", "Win", "2–0" ], [ "3", "July 24", "vs. Hamilton Tiger-Cats", "36–25", "Loss", "2–1" ], [ "4", "Aug 1", "at Edmonton Eskimos", "32–26", "Win", "3–1" ], [ "5", "Aug 8", "vs. BC Lions", "29–16", "Win", "4–1" ], [ "6", "Aug 20", "at Calgary Stampeders", "35–4", "Win", "5–1" ], [ "7", "Aug 28", "vs. Ottawa Rough Riders", "27–20", "Win", "6–1" ], [ "8", "Sept 5", "at Saskatchewan Roughriders", "36–35", "Win", "7–1" ], [ "9", "Sept 11", "vs. Calgary Stampeders", "15–11", "Loss", "7–2" ], [ "10", "Sept 18", "at Ottawa Rough Riders", "38–28", "Loss", "7–3" ], [ "11", "Sept 25", "vs. Montreal Concordes", "19–16", "Win", "8–3" ], [ "12", "Oct 2", "at BC Lions", "29–19", "Win", "9–3" ], [ "13", "Oct 11", "vs. Toronto Argonauts", "39–35", "Win", "10–3" ], [ "14", "Oct 17", "at Toronto Argonauts", "29–16", "Win", "11–3" ], [ "15", "Oct 23", "vs. Edmonton Eskimos", "33–17", "Loss", "11–4" ], [ "16", "Nov 7", "at Hamilton Tiger-Cats", "24–21", "Loss", "11–5" ] ], "name": "csv/204-csv/227.tsv" }
AVERAGE
[ [ 0, 3 ], [ 1, 3 ], [ 3, 3 ], [ 4, 3 ], [ 5, 3 ], [ 6, 3 ], [ 7, 3 ], [ 8, 3 ], [ 10, 3 ], [ 11, 3 ], [ 12, 3 ], [ 13, 3 ] ]
nt-17
What is the zip code of the first Abbott?
[ "72944" ]
{ "header": [ "Name of place", "Number of counties", "Principal county", "Lower zip code" ], "rows": [ [ "Abbott", "1", "Scott County", "72944" ], [ "Abco", "1", "Hot Spring County", "" ], [ "Aberdeen", "1", "Monroe County", "72134" ], [ "Acorn", "1", "Polk County", "71953" ], [ "Ada", "1", "Conway County", "72001" ], [ "Adams Field", "1", "Pulaski County", "72202" ], [ "Adona", "1", "Perry County", "72001" ], [ "Advance", "1", "Baxter County", "" ], [ "Aetna", "1", "Craighead County", "" ], [ "Aggie", "1", "Craighead County", "" ], [ "Agnos", "1", "Fulton County", "72513" ], [ "Agricultural School", "1", "Columbia County", "" ], [ "Air Base", "1", "Pulaski County", "72076" ], [ "Airport Village", "1", "Jackson County", "" ], [ "Alabam", "1", "Madison County", "72740" ], [ "Alamo", "1", "Montgomery County", "" ], [ "Albert", "1", "Montgomery County", "" ], [ "Albert Pike", "1", "Garland County", "71913" ], [ "Albion", "1", "White County", "72143" ], [ "Alco", "1", "Stone County", "72610" ], [ "Alexander", "1", "Greene County", "72450" ], [ "Alexander", "2", "Pulaski County", "72002" ], [ "Alexander", "2", "Saline County", "72002" ], [ "Alf", "1", "Montgomery County", "" ], [ "Alfrey", "1", "Monroe County", "72021" ], [ "Algoa", "1", "Jackson County", "72112" ], [ "Alicia", "1", "Lawrence County", "72410" ], [ "Alix", "1", "Franklin County", "72820" ], [ "Allbrook", "1", "Howard County", "71851" ], [ "Alleene", "1", "Little River County", "71820" ], [ "Allendale", "1", "Monroe County", "" ], [ "Allene", "1", "Little River County", "" ], [ "Allfriend", "1", "Newton County", "72664" ], [ "Allis", "1", "Drew County", "" ], [ "Allison", "1", "Stone County", "72511" ], [ "Allport", "1", "Lonoke County", "72046" ], [ "Alma", "1", "Crawford County", "72921" ], [ "Almond", "1", "Cleburne County", "72550" ], [ "Almyra", "1", "Arkansas County", "72003" ], [ "Alpena", "2", "Boone County", "72611" ], [ "Alpena", "2", "Carroll County", "72611" ], [ "Alpha", "1", "Yell County", "" ], [ "Alpine", "1", "Clark County", "71920" ], [ "Alread", "1", "Van Buren County", "72031" ], [ "Altheimer", "1", "Jefferson County", "72004" ], [ "Alto", "1", "Poinsett County", "72354" ], [ "Altus", "1", "Franklin County", "72821" ], [ "Aly", "1", "Yell County", "72857" ], [ "Amagon", "1", "Jackson County", "72005" ], [ "Amanca", "1", "Crittenden County", "72376" ], [ "Amboy", "1", "Pulaski County", "" ], [ "Ames", "1", "Nevada County", "" ], [ "Amity", "1", "Clark County", "71920" ], [ "Amy", "1", "Ouachita County", "71701" ], [ "Anderson", "1", "Scott County", "" ], [ "Anderson Tully", "1", "Poinsett County", "" ], [ "Andrews", "1", "White County", "" ], [ "Annieville", "1", "Lawrence County", "72434" ], [ "Anthony", "1", "Hempstead County", "71801" ], [ "Anthony Subdivision", "1", "Crittenden County", "" ], [ "Anthonyville", "1", "Crittenden County", "72301" ], [ "Antioch", "1", "Craighead County", "" ], [ "Antioch", "1", "Hot Spring County", "" ], [ "Antioch", "1", "Perry County", "72070" ], [ "Antioch", "1", "White County", "72012" ], [ "Antoine", "1", "Pike County", "71922" ], [ "Apalco", "1", "Lafayette County", "" ], [ "Apex", "1", "Sebastian County", "72938" ], [ "Aplin", "1", "Perry County", "72126" ], [ "Appleby", "1", "Washington County", "" ], [ "Applegate Ford", "1", "Carroll County", "" ], [ "Appleton", "1", "Pope County", "72822" ], [ "Apt", "1", "Craighead County", "72403" ], [ "Arbaugh", "1", "Newton County", "72852" ], [ "Arbor Grove", "1", "Lawrence County", "72433" ], [ "Arcadia", "1", "Hempstead County", "71857" ], [ "Ard", "1", "Yell County", "72834" ], [ "Arden", "1", "Little River County", "71822" ], [ "Arkadelphia", "1", "Clark County", "71923" ], [ "Arkalite", "1", "Lonoke County", "" ], [ "Arkana", "1", "Baxter County", "" ], [ "Arkana", "1", "Lafayette County", "71826" ], [ "Arkansas A and M College", "1", "Drew County", "" ], [ "Arkansas City", "1", "Desha County", "71630" ], [ "Arkansas Fuel Oil Company Village", "1", "Columbia County", "71753" ], [ "Arkansas Polytechnic College", "1", "Pope County", "" ], [ "Arkansas Post National Memorial", "1", "Arkansas County", "72055" ], [ "Arkansas State Teachers College", "1", "Faulkner County", "" ], [ "Arkawana", "1", "Baxter County", "" ], [ "Arkinda", "1", "Little River County", "71836" ], [ "Arkola", "1", "Sebastian County", "72945" ], [ "Arlberg", "1", "Stone County", "" ], [ "Armorel", "1", "Mississippi County", "72310" ], [ "Armstrong", "1", "Sharp County", "72482" ], [ "Armstrong Springs", "1", "White County", "72148" ], [ "Arnett", "1", "Washington County", "" ], [ "Artesian", "1", "Calhoun County", "" ], [ "Artex", "1", "Miller County", "" ], [ "Arthur", "1", "Conway County", "72156" ], [ "Artist Point", "1", "Crawford County", "" ], [ "Ashdown", "1", "Little River County", "71822" ], [ "Asher", "1", "Madison County", "72727" ], [ "Asher", "1", "Pulaski County", "72204" ], [ "Ash Flat", "2", "Sharp County", "72513" ], [ "Ash Flat", "2", "Fulton County", "72513" ], [ "Ashton", "1", "Chicot County", "71653" ], [ "Athelstan", "1", "Mississippi County", "72370" ], [ "Athens", "1", "Howard County", "71971" ], [ "Atkins", "1", "Pope County", "72823" ], [ "Atlanta", "1", "Columbia County", "71740" ], [ "Attica", "1", "Randolph County", "72455" ], [ "Atwood", "1", "Howard County", "" ], [ "Aubrey", "1", "Lee County", "72311" ], [ "Augsburg", "1", "Pope County", "72874" ], [ "Augusta", "1", "Woodruff County", "72006" ], [ "Aurelle", "1", "Union County", "71765" ], [ "Aurora", "1", "Madison County", "72740" ], [ "Austin", "1", "Conway County", "72027" ], [ "Austin", "1", "Lonoke County", "72007" ], [ "Austin Station", "1", "Lonoke County", "" ], [ "Auvergne", "1", "Jackson County", "72112" ], [ "Avant", "1", "Garland County", "" ], [ "Avery", "1", "Lincoln County", "71639" ], [ "Avilla", "1", "Saline County", "72002" ], [ "Avoca", "1", "Benton County", "72711" ], [ "Avon", "1", "Sevier County", "71832" ], [ "Azor", "1", "Nevada County", "71835" ] ], "name": "csv/204-csv/299.tsv" }
COUNT
[ [ 0, 3 ] ]
nt-18
How many films came out in 2009?
[ "3" ]
{ "header": [ "Year", "Title", "Role", "Notes" ], "rows": [ [ "1991", "Let Him Have It", "Derek Bentley", "" ], [ "1992", "Death and the Compass", "Alonso Zunz", "" ], [ "1993", "Anchoress", "Priest", "" ], [ "1994", "Shallow Grave", "David", "" ], [ "1996", "Jude", "Jude Fawley", "" ], [ "1998", "Elizabeth", "Duke of Norfolk", "" ], [ "1998", "A Price Above Rubies", "Sender Horowitz", "" ], [ "1999", "Heart", "Gary Ellis", "" ], [ "1999", "eXistenZ", "Seminar leader", "" ], [ "1999", "With or Without You", "Vincent Boyd", "" ], [ "2000", "Gone in 60 Seconds", "Raymond Calitri", "" ], [ "2000", "The Tyre", "Salesman", "Short film" ], [ "2001", "The Others", "Charles Stewart", "" ], [ "2001", "The Invisible Circus", "Wolf", "" ], [ "2001", "This Little Piggy", "Cabbie", "Short film" ], [ "2002", "24 Hour Party People", "Boethius", "" ], [ "2002", "I Am Dina", "Leo Zhukovsky", "" ], [ "2002", "Revengers Tragedy", "Vindici", "" ], [ "2002", "28 Days Later", "Major Henry West", "" ], [ "2007", "The Dark is Rising", "The Rider", "" ], [ "2008", "New Orleans, Mon Amour", "Dr. Henry", "" ], [ "2009", "G.I. Joe: The Rise of Cobra", "James McCullen / Destro", "" ], [ "2009", "Amelia", "Fred Noonan", "" ], [ "2009", "The Happiness Salesman", "Salesman", "Short film" ], [ "2012", "Song for Marion", "James Harris", "" ], [ "2013", "Thor: The Dark World", "Malekith", "" ] ], "name": "csv/201-csv/21.tsv" }
SUM
[ [ 21, 1 ], [ 22, 1 ], [ 23, 1 ] ]
nt-19
How many games did an away team win?
[ "2" ]
{ "header": [ "Home Team", "Score", "Away Team", "Date", "Agg" ], "rows": [ [ "Aberdeen", "7–1", "Hamilton Academical", "11-10-1978", "8–1" ], [ "Airdrieonians", "1–2", "Arbroath", "10-10-1978", "2–3" ], [ "Ayr United", "1–1", "Falkirk", "11-10-1978", "3–1" ], [ "Clydebank", "1–1", "Hibernian", "11-10-1978", "1–2" ], [ "Morton", "5–2", "Kilmarnock", "11-10-1978", "5–4" ], [ "Montrose", "5–1", "Raith Rovers", "11-10-1978", "5–4" ], [ "Motherwell", "1–4", "Celtic", "11-10-1978", "2–4" ], [ "St. Mirren", "0–0", "Rangers", "11-10-1978", "2–3" ] ], "name": "csv/204-csv/475.tsv" }
SUM
[ [ 1, 1 ], [ 6, 1 ] ]
nt-20
How many titles were on The Sound of Trees Album?
[ "3" ]
{ "header": [ "Year", "Title", "Peak chart positions\\nAUS", "Peak chart positions\\nNZ", "Album" ], "rows": [ [ "1988", "\"Whisper\"", "58", "42", "The Sound Of Trees" ], [ "1988", "\"Love-Hate Relationship\"", "81", "46", "The Sound Of Trees" ], [ "1989", "\"This Illusion\"", "—", "—", "The Sound Of Trees" ], [ "1990", "\"OK Alright A Huh O Yeah\"", "74", "—", "OK Alright A Huh O Yeah" ], [ "1991", "\"Heroes Let You Down\"", "—", "—", "OK Alright A Huh O Yeah" ] ], "name": "csv/202-csv/184.tsv" }
COUNT
[ [ 0, 4 ], [ 1, 4 ], [ 2, 4 ] ]
nt-21
How models are from the United States?
[ "4" ]
{ "header": [ "Model", "Origin", "Type", "Version", "In Service", "Notes" ], "rows": [ [ "AM General HMMWV", "United States", "Light Utility Vehicle", "M998A1\\n\\nM1038A1\\n\\nM1025A1\\n\\nM1025P1\\n\\nM1114", "-", "Divided into several variants and series, including armored variants. Uparmored variants (M1025P1 and M1114) are assigned with the Mechanized Infantry Division and Special Operations Command." ], [ "Maxi-Ambulance", "United States", "Light Utility Vehicle", "M997A2", "19", "23 delivered to AFP on November 2011, PMC received 4 units." ], [ "M939 truck", "United States", "Heavy Utility Vehicle", "M923\\n\\nM929\\n\\nM931\\n\\nM934\\n\\nM936", ">20\\n\\n-\\n\\n-\\n\\n-\\n\\n-", "20 M923 delivered in 2010, several more of different variants delivered in 2013." ], [ "M35 Truck", "United States", "Heavy Utility Vehicle", "M35A1\\n\\nM35A2\\n\\nM35A3", "-", "Divided into several variants and series, in service with the PA since the early 1960s. 90 more units delivered in June 2011, more delivered in 2013." ], [ "Mitsubishi Fuso Fighter", "Japan", "Light Utility Vehicle", "FK Troop Carrier", "-", "Locally sourced." ], [ "CMC Cruiser", "Philippines", "1/4-ton Light Utility Vehicle", "Standard", "-", "Limited production run, introduced in the mid-1990s." ], [ "Delta Mini Cruiser", "Philippines", "1/4-ton Light Utility Vehicle", "M1777", "-", "Divided into several variants and series, including short and stretched utility and armed variants, and modified variants for specialized units." ], [ "M151", "United States", "1/4-ton Light Utility Vehicle", "M151", "-", "In Service" ], [ "Mitsubishi L200", "Japan", "Light Utility Vehicle", "L200", "-", "Used by Military Police" ], [ "KM-50 Series", "Republic of Korea", "Heavy Utility Vehicle", "KM-500\\n\\nKM-503", "6\\n\\n12", "KM-500 as 155mm Artillery prime mover, KM-503 tractor head for flat-bed trailers. 1st batch of 6 KM-500 delivered 2012. KM-503 delivered 2013." ], [ "KM-25 Series", "Republic of Korea", "Medium Utility Vehicle", "KM-250", "<250", "In Service. Some units received by other armed services." ], [ "KM-45 Series", "Republic of Korea", "Light Utility Vehicle", "KM-450", "727", "651 purchased by AFP on 2007 (590 for army) and 137 on December 2010" ], [ "KM-45 Series", "Republic of Korea", "Field Ambulance", "KM-451", "48", "60 purchased by AFP in 2012, 48 went to the Army." ] ], "name": "csv/204-csv/430.tsv" }
COUNT
[ [ 0, 1 ], [ 1, 1 ], [ 2, 1 ], [ 3, 1 ] ]
nt-22
How many knots can the Meola go?
[ "9" ]
{ "header": [ "Name", "Dates", "Grt", "Propulsion", "Port", "Notes" ], "rows": [ [ "Arataki  i", "1948-84", "74", "320 bhp diesel, 10 knots (19 km/h)", "", "US Navy harbour tug" ], [ "Arataki  ii", "1984-99", "143", "1100 bhp diesel, 12 knots (22 km/h)", "Timaru", "harbour tug" ], [ "Hipi", "1942-56", "39", "100 bhp diesel, 8 knots (15 km/h)", "Auckland", "Towing lighters" ], [ "Kahanui", "1942-45", "207", "800 ihp SR TE coal, 11 knots (20 km/h)", "Wanganui", "harbour tug" ], [ "Manawanui  i", "1948-52", "74", "329 bhp diesel, 10 knots (19 km/h)", "Auckland", "US Navy harbour tug" ], [ "Meola", "1961-", "19", "76 bhp diesel, 9 knots (17 km/h)", "Auckland", "work boat" ], [ "Toia", "1926-49", "423", "1250 ihp SR TE coal, 12 knots (22 km/h)", "Wellington", "World War I Saint class naval tug, a notable salvage tug" ] ], "name": "csv/203-csv/774.tsv" }
COUNT
[ [ 5, 3 ] ]
nt-23
How many names are from Kenya?
[ "3" ]
{ "header": [ "Rank", "Name", "Nationality", "Time" ], "rows": [ [ "", "Brahim Boulami", "Morocco", "8:17.73" ], [ "", "Reuben Kosgei", "Kenya", "8:18.63" ], [ "", "Stephen Cherono", "Kenya", "8:19.98" ], [ "4", "Bouabdellah Tahri", "France", "8:20.25" ], [ "5", "Tim Broe", "United States", "8:20.75" ], [ "6", "Luis Miguel Martín", "Spain", "8:24.03" ], [ "7", "Raymond Yator", "Kenya", "8:27.19" ], [ "8", "Thomas Chorny", "United States", "9:24.26" ] ], "name": "csv/204-csv/849.tsv" }
COUNT
[ [ 1, 2 ], [ 2, 2 ], [ 6, 2 ] ]
nt-25
Name a closed Parish
[ "St Joseph" ]
{ "header": [ "Parish", "Locality", "Parish Priest", "Founded", "Closed" ], "rows": [ [ "St Mary", "Bacup", "Fr Frank Thorpe", "1852", "----" ], [ "Our Immaculate Mother & St Anselm", "Whitworth", "Fr Frank Thorpe", "1860", "----" ], [ "St Joseph", "Stacksteads", "----", "1947", "2005" ], [ "St Joseph & St Peter", "Newchurch-In-Rossendale", "Fr Philip Boast", "1915", "----" ], [ "The Immaculate Conception", "Haslingden", "Fr Canon John Mackie", "1854", "----" ], [ "St Veronica (Chapel of Ease)", "Helmshore", "Served from The Immaculate Conception", "1959", "----" ], [ "St James the Less", "Rawtenstall", "Fr David Lupton, Rural Dean", "1828", "----" ] ], "name": "csv/203-csv/36.tsv" }
COUNT
[ [ 2, 0 ] ]

Dataset Card for WikiTableQuestions-wtq

Dataset Summary

The WikiTableQuestions-wtq dataset is a small-scale dataset for the task of question answering on semi-structured tables.

This data includes the aggregation_label and answer_coordinates to make it easy to train this model on any TAPAS based modles.

Supported Tasks and Leaderboards

question-answering, table-question-answering

Languages

en

Dataset Structure

Data Instances

default

  • Size of downloaded dataset files: 27.91 MB
  • Size of the generated dataset: 45.68 MB
  • Total amount of disk used: 73.60 MB

An example of 'validation' looks as follows:

{
  "id": "nt-0",
  "question": "What is the total average attendance at all USL First Division matches?",
  "answers": [
    "36755"
  ],
  "table": {
    "header": [
      "Year",
      "Division",
      "League",
      "Regular Season",
      "Playoffs",
      "Open Cup",
      "Avg. Attendance"
    ],
    "rows": [
      [
        "2001",
        "2",
        "USL A-League",
        "4th, Western",
        "Quarterfinals",
        "Did not qualify",
        "7,169"
      ],
      ...
    ],
    "name": "csv/204-csv/590.tsv"
  },
  "aggregation_label": "SUM",
  "answer_coordinates": [
    [
      4,
      6
    ],
    ...
  ]
}

Data Fields

The data fields are the same among all splits.

default

  • id: a string feature.
  • question: a string feature.
  • answers: a list of string feature.
  • answers_coordinates: a list of int,int tuples.
  • aggregation_label: a string feature.
  • table: a dictionary feature containing:
    • header: a list of string features.
    • rows: a list of list of string features:
    • name: a string feature.

Data Splits

TBA

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

Panupong Pasupat and Percy Liang

Licensing Information

Creative Commons Attribution Share Alike 4.0 International

Citation Information

@inproceedings{pasupat-liang-2015-compositional,
    title = "Compositional Semantic Parsing on Semi-Structured Tables",
    author = "Pasupat, Panupong and Liang, Percy",
    booktitle = "Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = jul,
    year = "2015",
    address = "Beijing, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P15-1142",
    doi = "10.3115/v1/P15-1142",
    pages = "1470--1480",
}

Contributions

Thanks to @SivilTaram for adding this dataset.

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