context stringlengths 362 1.72k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 |
|---|---|---|---|---|
Table InputTable: [["Frequency", "Call sign", "Name", "Format", "Owner", "Target city/market", "City of license"], ["104.1 FM", "WNAX-FM", "The Wolf 104.1", "Country", "Saga Communications", "Yankton/Vermillion", "Yankton"], ["93.1 FM", "KKYA", "KK93", "Country", "Riverfront Broadcasting LLC", "Yankton/Vermillion", "Ya... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Scot Bennett", "5", "0", "0", "0", "5"], ["Danny Coles", "3", "0", "0", "0", "3"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["OWN GOALS", "0", "0", "0", "0", "0"], ["Arron Davies", "3", "0", "0", "0", "3"], ["Jamie Cureton", "20",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3.", "China", "1", "9", "8", "18"], ["8.", "Russia", "0", "2", "3", "5"], ["9.", "Argentina", "0", "2", "0", "2"], ["1.", "Brazil", "21", "9", "12", "42"], ["2.", "United States", "9", "3", "6", "18"], ["7.", "Germany", "0", "5", "1", "6"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | China | Answer: | 128 |
Table InputTable: [["Year", "Single", "Chart Positions\\nUS Country", "Chart Positions\\nUS", "Album"], ["1964", "\"Blue Train (Of the Heartbreak Line)\"", "44", "132", "singles only"], ["1965", "\"That Ain't All\"", "20", "—", "singles only"], ["1963", "\"Bad News\" (b/w \"Guitar Player(Her and Him)\")", "23", "—", "s... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Sittin' in the Balcony", "Thou Shalt Not Steal", "Callin' Dr. Casey", "Bad News" (b/w "Guitar Player(Her and Him)"), "Blue Train (Of the Heartbreak Line)", "Th' Wife", "That Ain't All", "You're the Guilty One", "Odd Folks of Okracoke" | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Site", "Result"], ["September 24", "Millsaps*", "Denny Field • Tuscaloosa, AL", "W 54–0"], ["November 6", "Kentucky", "Rickwood Field • Birmingham, AL", "W 14–0"], ["October 16", "at Georgia Tech", "Grant Field • Atlanta, GA", "W 21–0"], ["November 13", "Florida", "Cramton Bowl ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["4", "Adam Małysz", "POL", "127.0", "130.5", "261.5"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["5", "Andreas Kofler", "AUT", "126.5", "132.0", "261.3"], ["11", "Jakub Janda", "CZE", "123.5", "128.5", "252.6"], ["2", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Andreas Kofler, Jakub Janda | Answer: | 128 |
Table InputTable: [["Team", "City", "Years active", "Seasons played", "Win–loss record", "Win%", "Playoffs appearances"], ["Detroit Falcons", "Detroit, Michigan", "1946–1947", "1", "20–40", ".333", "0"], ["Pittsburgh Ironmen", "Pittsburgh, Pennsylvania", "1946–1947", "1", "15–45", ".250", "0"], ["Indianapolis Jets", "I... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | Answer: | 128 |
Table InputTable: [["Ship", "Hull No.", "Status", "Years Active", "NVR\\nPage"], ["Henry Eckford", "T-AO-192", "Cancelled when 84% complete,\\ntransferred to the Maritime Administration,\\nlaid up in the James River Reserve Fleet,\\nscrapped in 2011", "Launched 1989, never in service", "AO192"], ["Benjamin Isherwood", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["7 Oct 1950", "Millwall", "H", "2–3", "Moore, Beattie", "13,129"], ["24 Feb 1951", "Millwall", "A", "4–2", "Parker, Moore, Shergold, Beattie", "15,788"], ["14 Sep 1950", "Watford", "H", "2–2", "Newall, M.Haines", "12,116"], ["23 Sep ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13,129 | Answer: | 128 |
Table InputTable: [["Series #", "Season #", "Title", "Notes", "Original air date"], ["9", "1", "\"Dee Dee Runs Away\"", "Dee Dee has been waiting to go to a monster truck show all week. But Alfie and Goo's baseball team makes it to the tournament and everyone forgets about the monster truck show. Dee Dee feels ignored ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "The Big Bully" | Answer: | 128 |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["1", "9", "Scott Dixon", "Chip Ganassi Racing", "85", "1:46:05.7985", "3", "51", "52"], ["2", "6", "Ryan Briscoe", "Penske Racing", "85", "+ 29.7803", "1", "6", "41"], ["4", "14", "Ryan Hunter-Reay", "A. J. Foyt ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 11 | Answer: | 128 |
Table InputTable: [["Year", "Record", "Finish", "Manager", "Playoffs"], ["1969", "74-72", "4th", "Chuck Tanner", ""], ["1970", "98-48", "1st", "Chuck Tanner", "Lost League Finals"], ["1982", "73-71", "5th", "Doug Rader", ""], ["1976", "77-68", "2nd", "Roy Hartsfield", "League Champs"], ["1984", "87-53", "1st", "Tommy S... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["1.", "18238", "Chhatisgarh Express", "01:23", "01:25", "Daily"], ["33.", "18237", "Chhatisgarh Express", "23:09", "23:10", "Daily"], ["24.", "19713", "Jaipur-Sec Exp", "15:48", "15:50", "Tu"], ["14.", "12721", "Dakshin Ex... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Single / EP", "Tracks", "Label", "Year", "Album"], ["2012 – Remix Contest EP", "2012 (Remastered)", "Burn The Fire", "2012", "The Agenda"], ["Hot & Cold", "Overdose", "Burn The Fire", "2010", "—"], ["Los Angeles", "Los Angeles\\nLos Angeles feat. Whiskey Pete (Clean Mix)\\nLos Angeles feat. Whiskey... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Los Angeles | Answer: | 128 |
Table InputTable: [["Year", "Organization", "Award", "Work", "Result"], ["2007", "16th Hashida Awards", "Newcomer Award", "Hana Yori Dango 2", "Won"], ["2008", "Nickelodeon Kids' Choice Awards", "Best Actress", "Hana Yori Dango 2", "Won"], ["2011", "TV Navi", "Best Actress", "Ohisama", "Won"], ["2012", "16th Nikkan Spo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Best Actress | Answer: | 128 |
Table InputTable: [["Year", "Single", "Peak chart\\npositions\\nUS Country", "Peak chart\\npositions\\nCAN Country", "Album"], ["1971", "\"She Don't Make Me Cry\"", "19", "9", "She Don't Make Me Cry"], ["1970", "\"I Wake Up in Heaven\"", "26", "—", "She Don't Make Me Cry"], ["1978", "\"When a Woman Cries\"", "31", "—",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | A World Called You | Answer: | 128 |
Table InputTable: [["Date", "Location", "Opponent", "Result", "Competition"], ["July 15, 2013", "Houston, United States", "El Salvador", "0-1", "GC"], ["July 8, 2013", "Harrison, United States", "Honduras", "0–2", "GC"], ["July 12, 2013", "Miami Gardens, United States", "Trinidad and Tobago", "2-0", "GC"], ["March 20, ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Trinidad and Tobago | Answer: | 128 |
Table InputTable: [["Distribution", "x86", "x86-64", "ia64", "ppc", "ppc64", "sparc32", "sparc64", "arm", "hppa", "mips", "sh", "s390", "s390x", "alpha", "m68k"], ["Slackware", "Yes", "Yes", "No", "No", "No", "Discontinued\\n?", "No", "Yes", "No", "No", "No", "Discontinued\\n?", "Discontinued\\n?", "Discontinued\\n8.1"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Debian | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2001", "World Youth Championships", "Debrecen, Hungary", "4th", "400 m", ""], ["2006", "World Cup", "Athens, Greece", "7th", "400 m", ""], ["2006", "Asian Games", "Doha, Qatar", "2nd", "4x400 m relay", ""], ["2006", "Asian Games", "Doh... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["#", "Directed By", "Written By", "Original Air Date"], ["5", "John Reardon", "Neil McKay", "October 26, 1997"], ["6", "John Reardon", "Neil McKay", "November 2, 1997"], ["3", "Gerry Poulson", "David Humphries", "October 5, 1997"], ["9", "Douglas Mackinnon", "Neil McKay", "November 23, 1997"], ["8",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | John Reardon | Answer: | 128 |
Table InputTable: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["7", "Willy Bauer", "Germany", "Maico", "1276", "0"], ["13", "Vlastimil Valek", "Czechoslovakia", "ČZ", "709", "0"], ["2", "Adolf Weil", "Germany", "Maico", "2331", "2"], ["8", "Gaston Rahier", "Belgium", "ČZ", "1112", "0"], ["15", "Brad Lacke... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | No | Answer: | 128 |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2008/09", "Excelsior Mouscron", "Jupiler League", "31", "1"], ["2006/07", "KSV Roeselare", "Jupiler League", "29", "1"], ["2003/04", "RAEC Mons", "Jupiler League", "23", "0"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["2007/08",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 31 | Answer: | 128 |
Table InputTable: [["Association", "Joining year", "Men's team", "Women's team", "League"], ["Hong Kong", "2002", "Hong Kong", "Hong Kong", "Hong Kong First Division League"], ["China PR", "2002", "China", "China", "Chinese Super League"], ["Korea DPR", "2002", "Korea DPR", "Korea DPR", "DPR Korea League"], ["Korea Rep... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Japan | Answer: | 128 |
Table InputTable: [["Year", "Winner", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Win $"], ["2013", "Alterlite (FR)", "John R. Velazquez", "Chad C. Brown", "Martin S. Schwartz", "1-1/8", "1:50.55", "$500,000"], ["1978", "Late Bloomer", "Jorge Velasquez", "John M. Gaver, Jr.", "Greentree Stable", "1-1/1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Samitar | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2002", "European Championships", "Munich, Germany", "26th", "60.28 m"], ["2002", "World Junior Championships", "Kingston, Jamaica", "2nd", "63.91 m"], ["2001", "World Championships", "Edmonton, Canada", "23rd", "61.26 m"], ["2001", "European Ju... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2nd | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["8", "27", "Henri Pescarolo", "March-Ford", "77", "+ 3 Laps", "13", ""], ["6", "24", "Rolf Stommelen", "Surtees-Ford", "79", "+ 1 Lap", "16", "1"], ["DNQ", "6", "Mario Andretti", "Ferrari", "", "", "", ""], ["9", "15",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alex Soler-Roig | Answer: | 128 |
Table InputTable: [["Date", "Location", "Opponent", "Result", "Competition"], ["July 15, 2013", "Houston, United States", "El Salvador", "0-1", "GC"], ["July 8, 2013", "Harrison, United States", "Honduras", "0–2", "GC"], ["July 12, 2013", "Miami Gardens, United States", "Trinidad and Tobago", "2-0", "GC"], ["March 20, ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["8", "8", "Chris Amon", "Cooper-Maserati", "44", "+ 4 laps", "7", ""], ["4", "6", "Jochen Rindt", "Cooper-Maserati", "46", "+ 2 laps", "5", "3"], ["Ret", "10", "John Surtees", "Cooper-Maserati", "5", "Fuel System", "2"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["#", "Title", "Time", "Lyrics", "Music", "Producer(s)", "Performer(s)"], ["3", "\"Out Here\"", "3:18", "Boondox", "Mike E. Clark\\nTino Grosse", "Boondox", "Boondox"], ["4", "\"It Ain't A Thang\"", "3:45", "Boondox", "Mike E. Clark", "Boondox", "Boondox"], ["8", "\"Rollin Hard\"", "4:07", "Boondox",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Intro | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1939/40", "N/A", "ASL", "2nd(t)", "No playoff", "Co-champion"], ["1934/35", "N/A", "ASL", "6th", "No playoff", "?"], ["1935/36", "N/A", "ASL", "2nd", "No playoff", "?"], ["1942/43", "N/A", "ASL", "5th", "No playoff", "?"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1948/49 | Answer: | 128 |
Table InputTable: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS R&B", "Peak chart positions\\nUS Rap", "Album"], ["\"Say Yes\"", "2001", "—", "—", "—", "N/A"], ["\"The Greatest Story Never Told\"", "2011", "—", "—", "—", "The Greatest Story Never Told"], ["\"Best Mistake\"\\n(featuring G. M... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Say Yes" | Answer: | 128 |
Table InputTable: [["No.", "Date", "Tournament", "Winning score", "Margin of\\nvictory", "Runner(s)-up"], ["2", "10 Aug 2003", "Sun Chlorella Classic", "−8 (71-73-68-68=280)", "1 stroke", "Daisuke Maruyama, Taichi Teshima"], ["12", "29 Jul 2012", "Sun Chlorella Classic", "−15 (69-66-68-70=273)", "2 strokes", "Lee Seong... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | Answer: | 128 |
Table InputTable: [["Date", "Venue", "Opponent", "Result", "Scoreline", "China scorers"], ["January 27", "Zhongshan", "Syria", "Won", "2-1", "Qu Bo 64'\\nZhu Ting 90'"], ["May 25", "Kunshan", "Jordan", "Won", "2-0", "Hao Junmin 23' pen\\nLi Weifeng 48'"], ["March 15", "Kunming", "Thailand", "Drawn", "3-3", "Qu Bo 34'\\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Brazil", "7", "5", "3", "15"], ["9", "Uruguay", "0", "0", "1", "1"], ["5", "Argentina", "1", "2", "5", "8"], ["7", "Ecuador", "0", "2", "2", "4"], ["2", "Venezuela", "3", "2", "8", "13"], ["4", "Chile", "2", "0", "2", "4"], ["3", "Colomb... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | true | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2", "Austria", "4", "3", "4", "11"], ["5", "Sweden", "2", "4", "4", "10"], ["7", "Norway", "2", "1", "1", "4"], ["9", "Germany", "1", "0", "1", "2"], ["4", "Switzerland", "3", "2", "1", "6"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["3"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Austria | Answer: | 128 |
Table InputTable: [["Poll Source", "Sample Size", "Margin of Error", "Date", "Democrat", "%", "Republican", "%"], ["Survey USA", "563", "4.2", "Feb 15-17, 2008", "Barack Obama", "51", "John McCain", "41"], ["Rasmussen Reports", "500", "", "Feb 18, 2008", "Barack Obama", "44", "John McCain", "41"], ["Survey USA", "563",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 563 | Answer: | 128 |
Table InputTable: [["name", "glyph", "C string", "Unicode", "Unicode name"], ["right-brace", "}", "}", "U+007D", "RIGHT CURLY BRACKET"], ["left-brace", "{", "{", "U+007B", "LEFT CURLY BRACKET"], ["right-square-bracket", "]", "]", "U+005D", "RIGHT SQUARE BRACKET"], ["tab", "", "\\\\t", "U+0009", "CHARACTER TABULATION (H... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | bracket | Answer: | 128 |
Table InputTable: [["Rank", "Pair", "Country", "Athletes", "Time", "Deficit"], ["", "2", "Russia", "Ivan Skobrev\\nDenis Yuskov\\nYevgeny Lalenkov", "3:43.62", "+2.19"], ["", "3", "Netherlands", "Sven Kramer\\nKoen Verweij\\nJan Blokhuijsen", "3:41.43", ""], ["6", "3", "Germany", "Patrick Beckert\\nMarco Weber\\nRobert... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Netherlands | Answer: | 128 |
Table InputTable: [["Rank", "Player", "Nation", "Club", "Goals"], ["6", "Jamie Watson", "USA", "Orlando City", "8"], ["1", "Jhonny Arteaga", "COL", "FC New York", "13"], ["3", "Maxwell Griffin", "USA", "Orlando City", "9"], ["6", "Andrew Welker", "USA", "Harrisburg City Islanders", "8"], ["3", "José Angulo", "USA", "Ha... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "12.", "27 August 2012", "Bagnatica, Italy", "Clay", "Maria-Elena Camerin", "7–6(5), 6–4"], ["Runner-up", "6.", "3 April 2007", "Dinan, France", "Clay (i)", "Maša Zec Peškirič", "6–4, 6–2"], ["Runner-up", "1.", "6... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hard | Answer: | 128 |
Table InputTable: [["Season", "Conference", "Head Coach", "Total Wins", "Total Losses", "Total Ties", "Conference Wins", "Conference Losses", "Conference Ties", "Conference Standing", "Postseason Result"], ["Totals:\\n105 Seasons", "2 Conferences", "23 Head Coaches", "Total\\nWins\\n473", "Total\\nLosses\\n536", "Total... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Total Wins 473 | Answer: | 128 |
Table InputTable: [["Year", "Song", "Album", "Position", "Chart"], ["1989", "\"24/7\"", "24/7", "42", "Billboard Hot 100"], ["1989", "\"I Like It\"", "24/7", "7", "Billboard Hot 100"], ["1989", "\"Sunshine\"", "24/7", "23", "Billboard Hot 100"], ["1989", "\"24/7\"", "24/7", "12", "Hot R&B/Hip-Hop Songs"], ["1993", "\"E... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Year", "Title", "Genre", "Publisher", "Notes"], ["1937", "West of the Pecos", "Western", "Whitman Publishing", ""], ["1935", "The Trail Driver", "Western", "Whitman Publishing", ""], ["1937", "An American Angler in Australia", "Fishing", "Whitman Publishing", ""], ["1938", "Raiders of Spanish Peaks... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 14 | Answer: | 128 |
Table InputTable: [["Year", "Single", "Peak chart\\npositions\\nUS Country", "Peak chart\\npositions\\nCAN Country", "Album"], ["1984", "\"I'm a Country Song\"", "72", "—", "singles only"], ["1977", "\"I'm Gonna Love You Right Out of This World\"", "21", "38", "singles only"], ["1983", "\"Hold Me\"", "67", "—", "single... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1968 | Answer: | 128 |
Table InputTable: [["Representative", "Title", "Presentation\\nof Credentials", "Termination\\nof Mission", "Appointed by"], ["Jeanette W. Hyde", "Ambassador Extraordinary and Plenipotentiary", "April 4, 1995", "January 31, 1998", "Bill Clinton"], ["Mary Kramer", "Ambassador Extraordinary and Plenipotentiary", "Februar... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | E. William Crotty | Answer: | 128 |
Table InputTable: [["Rank", "City", "Passengers", "Ranking", "Airline"], ["8", "Baja California, Tijuana", "14,906", "", "Interjet"], ["6", "Baja California Sur, Los Cabos", "37,526", "1", "Interjet"], ["1", "Quintana Roo, Cancún", "132,046", "", "Aeroméxico Connect, Interjet, Volaris"], ["2", "Nuevo León, Monterrey", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Interjet | Answer: | 128 |
Table InputTable: [["Rank", "Heat", "Name", "Nationality", "Time", "Notes"], ["3", "2", "Shen Yunbao", "China", "10.72", "Q"], ["2", "1", "Hiroyasu Tsuchie", "Japan", "10.64", "Q"], ["7", "2", "Tang Yui Han", "Singapore", "11.61", "PB"], ["2", "2", "Yuta Kanno", "Japan", "10.64", "Q"], ["6", "1", "Vissanu Sophanich", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | above | Answer: | 128 |
Table InputTable: [["", "Name on the Register", "Date listed", "Location", "City or town", "Summary"], ["38", "Woodbury Mill", "March 25, 2013\\n(#13000156)", "1 Dover St.\\n43°12′07″N 70°52′29″W / 43.201985°N 70.874587°W", "Dover", ""], ["30", "Smith Chapel", "February 13, 2013\\n(#13000009)", "45 Mill Pond Rd.\\n43... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | Answer: | 128 |
Table InputTable: [["Episode no.", "Airdate", "Viewers", "BBC Three weekly ranking", "Multichannels rank"], ["4", "16 May 2013", "880,000", "1", "13"], ["12", "11 July 2013", "", "", ""], ["10", "27 June 2013", "730,000", "N/A", "28"], ["9", "20 June 2013", "1,204,000", "6", "9"], ["3", "9 May 2013", "885,000", "1", "1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | Answer: | 128 |
Table InputTable: [["Leg", "Stage", "Time", "Name", "Length", "Winner", "Time", "Avg. spd.", "Rally leader"], ["1\\n(16 Feb)", "SS3", "11:24", "Loten 2", "30.30 km", "M. Hirvonen", "16:09.9", "112.47 km/h", "M. Hirvonen"], ["1\\n(16 Feb)", "SS1", "07:43", "Loten 1", "30.30 km", "M. Hirvonen", "16:14.1", "111.98 km/h", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Loten 2 | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["4", "Adam Małysz", "POL", "127.0", "130.5", "261.5"], ["2", "Tami Kiuru", "FIN", "128.5", "130.5", "264.7"], ["11", "Jakub Janda", "CZE", "123.5", "128.5", "252.6"], ["1", "Matt... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Matti Hautamäki | Answer: | 128 |
Table InputTable: [["Team", "City", "Years active", "Seasons played", "Win–loss record", "Win%", "Playoffs appearances"], ["Chicago Stags", "Chicago, Illinois", "1946–1950", "4", "145–92", ".612", "4"], ["Waterloo Hawks", "Waterloo, Iowa", "1949–1950", "1", "19–43", ".306", "0"], ["Toronto Huskies", "Toronto, Ontario",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Baltimore Bullets | Answer: | 128 |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Giuseppe Aquaro", "3", "0", "2", "5"], ["Apostol Popov", "2", "0", "0", "2"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Boris Galchev", "1", "0", "0", "1"], ["Pavel Vidanov", "0", "0", "1", "1"], ["Todor Yanchev", "0", "1", "1", "2"], ["Spa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Giuseppe Aquaro | Answer: | 128 |
Table InputTable: [["name", "glyph", "C string", "Unicode", "Unicode name"], ["u", "u", "u", "U+0075", "LATIN SMALL LETTER U"], ["a", "a", "a", "U+0061", "LATIN SMALL LETTER A"], ["U", "U", "U", "U+0055", "LATIN CAPITAL LETTER U"], ["s", "s", "s", "U+0073", "LATIN SMALL LETTER S"], ["tab", "", "\\\\t", "U+0009", "CHARA... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | U+0000 | Answer: | 128 |
Table InputTable: [["Year", "Chassis", "Engine", "Start", "Finish", "Team"], ["2009", "Dallara", "Honda", "1", "1", "Team Penske"], ["2006", "Dallara", "Honda", "2", "25", "Team Penske"], ["2007", "Dallara", "Honda", "1", "3", "Team Penske"], ["2008", "Dallara", "Honda", "4", "4", "Team Penske"], ["2011", "Dallara", "H... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 25 | Answer: | 128 |
Table InputTable: [["Player", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Viduka", "1", "-", "2", "3"], ["Chipperfield", "1", "-", "1", "2"], ["Milicic", "2", "-", "-", "2"], ["Cahill", "-", "-", "1", "1"], ["Zdrilic", "1", "-", "-", "1"], ["Bresciano", "2", "-", "1", "3"], ["Culi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Year", "Name", "Year", "Name", "Year", "Name"], ["1905-06", "Mr G. Constable", "1937 -38", "", "1969-70", ""], ["1920-21", "Mr B.Melman", "1952-53", "Mr Vic Pretorius", "1985-86", "Mr J.Prins"], ["1924-25", "Mr E.Murton", "1956-57", "Mr P.H.Tredoux", "1989-90", "Mr Gerrie Wolmarans"], ["1927-28", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mr B. Owen- Jones | Answer: | 128 |
Table InputTable: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Isabelle Raisa", "16", "170 cm (5 ft 7 in)", "Vienna", "Eliminated in Episode 1"], ["Michaela Schopf", "21", "172 cm (5 ft 7.5 in)", "Salzburg (originally from Germany)", "Quit in Episode 4"], ["Nadine Trinker", "21", "183 cm (6 ft 0 in)", "Bode... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["1", "2", "Paula Radcliffe (GBR)", "15:27.25 Q", ""], ["1", "16", "Yelena Kopytova (RUS)", "15:37.19", "PB"], ["2", "18", "Stela Olteanu (ROU)", "15:40.86", ""], ["2", "3", "Fernanda Ribeiro (POR)", "15:27.30 Q", ""], ["2", "31", "Jelena Chelnova (LAT)", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Annemari Sandell | Answer: | 128 |
Table InputTable: [["Season", "Episodes", "Time slot (EST)", "Original airing\\nSeason premiere", "Original airing\\nSeason finale", "Original airing\\nTV season", "Rank", "Viewers\\n(in millions)"], ["1", "23", "Friday 9pm/8c (October 6, 2000 – January 12, 2001)\\nThursday 9pm/8c (February 1, 2001 – May 17, 2001)", "O... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | October 6, 2000 | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "3.", "21 May 2006", "Hamburg Masters, Hamburg, Germany", "Clay", "Radek Štěpánek", "6–1, 6–3, 6–3"], ["Winner", "6.", "7 October 2007", "Open de Moselle, Metz, France", "Hard (i)", "Andy Murray", "0–6, 6–2, 6–3"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2007 | Answer: | 128 |
Table InputTable: [["No.", "Date", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["2.", "April 4, 2011", "Chile F2", "Clay", "Sergio Galdós", "Guillermo Hormazábal\\n Rodrigo Pérez", "5–7, 7–6(5), [10–5]"], ["5.", "August 5, 2012", "Manta", "Hard", "Renzo Olivo", "Víctor Estrella\\n João Sou... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Argentina F8 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["15", "Romania", "0", "4", "2", "6"], ["10", "Yugoslavia", "3", "1", "1", "5"], ["1", "Soviet Union", "26", "17", "15", "58"], ["12", "Bulgaria", "1", "1", "1", "3"], ["17", "Czechoslovakia", "0", "1", "0", "1"], ["6", "Hungary", "3", "6", "6"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Romania | Answer: | 128 |
Table InputTable: [["Match no.", "Match Type", "Team Europe", "Score", "Team USA", "Progressive Total"], ["31", "Singles", "Tore Torgersen", "202 - 264", "Chris Barnes", "15 - 16"], ["25", "Singles", "Mika Koivuniemi", "217 - 279", "Chris Barnes", "14 - 11"], ["30", "Baker", "Team Europe", "202 - 203", "Team USA", "15 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 543 | Answer: | 128 |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["Zelig Stroch", "Shooting", "50 metre rifle prone", "57", "589/600"], ["Yossef Romano", "Weightlifting", "Middleweight <75 kg", "—", "(retired injured on third attempt to press 137.5kg)"], ["Henry Hershkowitz", "Shooting", "50 metre rifle prone",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Henry Hershkowitz | Answer: | 128 |
Table InputTable: [["Wrestler:", "Times:", "Date:", "Location:", "Notes:"], ["Asian Cougar / Kuuga", "1", "August 28, 2010", "Osaka, Japan", "Asian Cougar renamed himself Kuuga during his reign."], ["Tigers Mask", "1", "February 12, 2007", "Osaka, Japan", ""], ["Tigers Mask", "3", "April 29, 2011", "Osaka, Japan", ""],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kuuga | Answer: | 128 |
Table InputTable: [["Name", "Owner", "Location", "Notes", "Transmission", "Website"], ["Radio 24", "Il Sole 24 Ore", "Milan", "Commercial; News/Talk", "FM, DAB, DVB-S", "http://www.radio24.it"], ["Radio Italia Solo Musica Italiana", "Gruppo Radio Italia", "Milan", "Commercial; Italian Hits", "FM, DAB, DVB-S", "http://w... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | Answer: | 128 |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["3", "61", "Rich Yonakor", "", "United States", "North Carolina"], ["1", "15", "Reggie Johnson", "PF/C", "United States", "Tennessee"], ["10", "209", "Steve Schall", "", "United States", "Arkansas"], ["5", "107", "Gib Hinz",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["4", "Adam Małysz", "POL", "127.0", "130.5", "261.5"], ["1", "Matti Hautamäki", "FIN", "132.0", "131.5", "274.3"], ["5", "Andreas Kofler", "AUT", "126.5", "132.0", "261.3"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["11... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Matti Hautamäki | Answer: | 128 |
Table InputTable: [["Opus", "Title", "Subdivisions", "Compo-sition", "Première date", "Place, theatre"], ["12a", "Das Liebesopfer (libretto only, no music completed)", "4 acts", "1917", "", ""], ["17", "Walamund (libretto only, no music completed)", "3 acts", "1928", "", ""], ["16", "Wahnopfer", "3 acts", "1928", "199... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Das Liebesopfer (libretto only, no music completed) | Answer: | 128 |
Table InputTable: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["7", "August 19", "Mosport", "Greg Pickett", "Chevrolet Corvette", "Bob Tullius", "Jaguar XJS"], ["5", "July 8", "Watkins Glen‡", "Hal Shaw, Jr.\\n Monte Shelton", "Porsche... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | Answer: | 128 |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Lanny Poffo", "1", "May 10, 1978", "San Francisco, California", "Defeated Joe Banek to become the first champion"], ["Randy Savage", "2", "1981", "Unknown", ""], ["Randy Savage", "1", "March 13, 1979", "Halifax, Nova Scotia", ""], ["Randy Savag... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Paul Christy | Answer: | 128 |
Table InputTable: [["Rank", "Pair", "Name", "Country", "Time", "Time behind"], ["8", "18", "Stefan Groothuis", "Netherlands", "1:09.57", "+0.68"], ["12", "9", "Beorn Nijenhuis", "Netherlands", "1:09.85", "+0.96"], ["", "21", "Erben Wennemars", "Netherlands", "1:09.32", "+0.43"], ["5", "21", "Jan Bos", "Netherlands", "1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2001", "World Championships", "Edmonton, Canada", "18th (sf)", "400 m hurdles", "49.80"], ["2012", "European Championships", "Helsinki, Finland", "18th (sf)", "400 m hurdles", "50.77"], ["2007", "World Championships", "Osaka, Japan", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | Answer: | 128 |
Table InputTable: [["Grp", "Race Name", "Age", "Sex", "Weight", "Distance", "Date"], ["2", "AJC Challenge Stakes", "Open", "Open", "wfa", "1000", "March"], ["2", "Warwick Stakes", "Open", "Open", "wfa", "1400", "August"], ["2", "Surround Stakes", "3YO", "Fillies", "sw", "1400", "March"], ["3", "Liverpool City Cup", "Op... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Surround Stakes, Warwick Stakes | Answer: | 128 |
Table InputTable: [["Competition", "Total spectatorship", "Average match attendance", "Year"], ["Australian Football League", "6,931,085", "33,484", "2013"], ["Super Rugby", "773,940", "19,348", "2012"], ["National Rugby League", "3,345,248", "16,643", "2013"], ["Rugby Championship", "133,532", "44,511", "2012"], ["Big... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | State of Origin series | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Nationality", "Time"], ["5", "Fabíola Molina", "Brazil", "5:03.43"], ["8", "Edith Arraspide", "Argentina", "5:13.95"], ["", "Alison Fealey", "United States", "4:48.31"], ["", "Joanne Malar", "Canada", "4:43.64"], ["7", "Carolyn Adel", "Suriname", "5:13.24"], ["6", "Isabel Rojas", "C... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["1.", "18238", "Chhatisgarh Express", "01:23", "01:25", "Daily"], ["33.", "18237", "Chhatisgarh Express", "23:09", "23:10", "Daily"], ["29.", "51830", "Agra-Nagpur Pass", "18:04", "18:05", "Daily"], ["34.", "51152", "Narkh... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chhatisgarh Express | Answer: | 128 |
Table InputTable: [["Year", "Result", "Award", "Film"], ["2007", "Nominated", "People's Choice Award Favorite Male TV Star", ""], ["2008", "Nominated", "People's Choice Award Favorite Male TV Star", ""], ["2008", "Nominated", "Outstanding Lead Actor - Comedy Series", "Two and a Half Men"], ["2007", "Nominated", "Teen C... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bronze Wrangler Theatrical Motion Picture | Answer: | 128 |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2013", "15th Mnet Asian Music Awards", "Best Vocal Performance - Female", "\"U&I\"", "Won"], ["2013", "15th Mnet Asian Music Awards", "BC - UnionPay Song of the year", "\"U&I\"", "Nominated"], ["2014", "28th Golden Disk Awards", "Digital Bonsang... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "South Korea (KOR)", "32", "48", "65", "145"], ["2", "Japan (JPN)", "46", "56", "77", "179"], ["1", "China (CHN)", "127", "63", "33", "223"], ["6", "North Korea (PRK)", "6", "10", "20", "36"], ["8", "Mongolia (MGL)", "1", "1", "6", "8"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Guam | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2002", "World Junior Championships", "Kingston, Jamaica", "2nd", "63.91 m"], ["2002", "European Championships", "Munich, Germany", "26th", "60.28 m"], ["2001", "European Junior Championships", "Grosseto, Italy", "2nd", "61.97 m"], ["2012", "Eur... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3.63 | Answer: | 128 |
Table InputTable: [["Chord", "Root", "Minor Third", "Perfect Fifth", "Major Seventh"], ["EmM7", "E", "G", "B", "D♯"], ["FmM7", "F", "A♭", "C", "E"], ["CmM7", "C", "E♭", "G", "B"], ["AmM7", "A", "C", "E", "G♯"], ["GmM7", "G", "B♭", "D", "F♯"], ["BmM7", "B", "D", "F♯", "A♯"], ["B♭mM7", "B♭", "D♭", "F", "A"], ["E♭mM7", "E... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | Answer: | 128 |
Table InputTable: [["No", "Name", "Code", "Formed", "Headquarters", "Administrative\\nDivision", "Area (km2)", "Population\\n(2001 census)", "% of State\\nPopulation", "Density\\n(per km2)", "Urban (%)", "Literacy (%)", "Sex Ratio", "Tehsils", "Source"], ["14", "Jalna", "JN", "1 May 1981", "Jalna", "Aurangabad", "7,612... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Akola | Answer: | 128 |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["CN Tower", "Canada", "Toronto", "553 / 1,815", "Tower", "1976–2007", ""], ["Burj Khalifa", "United Arab Emirates", "Dubai", "829.8 / 2,722", "Skyscraper", "2007–present", "Topped-out on 17 January 2009"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Burj Khalifa | Answer: | 128 |
Table InputTable: [["Event", "Record", "Athlete", "Date", "Meet", "Place"], ["Discus throw", "60.45 m", "Mario Cota", "20 April 2012", "Mt. SAC Relays", "Walnut, United States"], ["Hammer throw", "71.46 m", "Guillermo Guzmán", "14 June 1992", "", "Mexico City, Mexico"], ["Javelin throw", "80.46 m", "Juan de la Garza", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hammer | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1987", "Venice Marathon", "Venice, Italy", "1st", "Marathon", "2:10:01"], ["1986", "Venice Marathon", "Venice, Italy", "1st", "Marathon", "2:18:44"], ["1991", "World Championships", "Tokyo, Japan", "6th", "Marathon", "2:15:58"], ["1987... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | no | Answer: | 128 |
Table InputTable: [["#", "Title", "Performer(s)", "Film", "Length"], ["7", "\"Kiss the Girl\"", "Colbie Caillat", "The Little Mermaid", "3:16"], ["9", "\"Under the Sea\"", "Raven-Symoné", "The Little Mermaid", "3:15"], ["1", "\"Once Upon a Dream\"", "Emily Osment", "Sleeping Beauty", "3:32"], ["12", "\"Happy Working So... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Game", "Date", "Opponent", "Location", "Score", "OT", "Attendance", "Record"], ["11", "March 17, 2007", "@ New York Titans", "Madison Square Garden", "W 11–8", "", "7,012", "7–4"], ["8", "February 17, 2007", "@ Philadelphia Wings", "Wachovia Center", "W 12–8", "", "12,688", "4–4"], ["3", "January 1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8-14 | Answer: | 128 |
Table InputTable: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Azua", "Alicia Fernández de la Cruz", "23", "1.69", "Santo Domingo"], ["Salcedo", "Rossemely Cruz Logroño", "26", "1.76", "Salcedo"], ["La Vega", "Catherine Mabel Ramírez Rosario", "21", "1.83", "Santiago de los Caballeros"], ["Barahona", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rossemely Cruz Logroño | Answer: | 128 |
Table InputTable: [["Value", "Diameter", "Composition", "1975–1979\\nObverse", "1975–1979\\nReverse", "1981-\\nObverse", "1981-\\nReverse"], ["20 seniti", "29 mm", "Cupronickel", "King", "Bees and hive", "King", "Yams"], ["50 seniti", "32–33 mm", "Cupronickel", "King", "Fishes around a vortex", "King", "Tomatoes"], ["1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chicken with chicks | Answer: | 128 |
Table InputTable: [["Week", "Date", "Result", "Record", "Opponent", "Points For", "Points Against", "First Downs", "Attendance"], ["3", "October 2", "Win", "3–0", "Tampa Bay Buccaneers", "23", "7", "23", "55,316"], ["1", "September 18", "Win", "1–0", "at Minnesota Vikings", "16", "10", "16", "47,678"], ["6", "October 2... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Below | Answer: | 128 |
Table InputTable: [["Name", "Location", "Date established", "Area", "Description"], ["Glacier", "Montana\\n48°48′N 114°00′W / 48.80°N 114.00°W", "May 11, 1910", "1,013,572.41 acres (4,101.8 km2)", "Part of Waterton Glacier International Peace Park, this park has 26 remaining glaciers and 130 named lakes under the tal... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 0 | Answer: | 128 |
Table InputTable: [["Year", "Name", "Year", "Name", "Year", "Name"], ["1930-31", "Mr J.E.Bigwood", "1962-63", "Mrs S.Von Wielligh", "", ""], ["1916-17", "Mr R.Champion", "1948-49", "Mrs S.Von Wielligh", "1981-82", "Mr Wiek Steyn"], ["1925-26", "Mr S.Steenberg", "1957- 58", "", "1990-91", "Mr Gerrie Wolmarans"], ["1913-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mr F.J.Van Heerden | Answer: | 128 |
Table InputTable: [["Year", "Single", "Chart Positions\\nUS Country", "Chart Positions\\nUS", "Album"], ["1965", "\"That Ain't All\"", "20", "—", "singles only"], ["1963", "\"Bad News\" (b/w \"Guitar Player(Her and Him)\")", "23", "—", "singles only"], ["1968", "\"Odd Folks of Okracoke\"", "—", "—", "single only"], ["1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Blue Train (Of the Heartbreak Line)" | Answer: | 128 |
Table InputTable: [["Value", "Diameter", "Composition", "1975–1979\\nObverse", "1975–1979\\nReverse", "1981-\\nObverse", "1981-\\nReverse"], ["20 seniti", "29 mm", "Cupronickel", "King", "Bees and hive", "King", "Yams"], ["1 seniti", "18 mm", "Bronze", "Maize", "Pig", "Maize", "Vanilla"], ["50 seniti", "32–33 mm", "Cup... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 15 mm | Answer: | 128 |
Table InputTable: [["Year", "Total\\npassengers", "Passenger\\nChange", "Domestic", "International\\n(total)", "International\\n(non-CIS)", "CIS", "Aircraft\\nLandings", "Cargo\\n(tonnes)"], ["2007", "2 345 097", "+32,9%", "1 486 888", "858 209", "683 092", "175 117", "16 767", "16 965"], ["2001", "1 028 295", "+10,5%"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2000 | Answer: | 128 |
Table InputTable: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["2", "Greg Norman", "Australia", "68-67-74-73=282", "+2", "207,000"], ["3", "Tom Lehman", "United States", "70-72-67-74=283", "+3", "131,974"], ["T10", "Vijay... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | $557,000 | Answer: | 128 |
Table InputTable: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["15", "Brad Lackey", "United States", "ČZ", "603", "0"], ["17", "John DeSoto", "United States", "Suzuki", "425", "0"], ["20", "Peter Lamppu", "United States", "Montesa", "309", "0"], ["5", "Joel Robert", "Belgium", "Suzuki", "1730", "1"], ["11... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Year", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1939", "62", "27", "121.749", "24", "11", "200", "0", "Running"], ["1930", "9", "20", "100.033", "18", "20", "79", "0", "Valve"], ["1934", "8", "7", "113.733", "13", "17", "94", "0", "Rod"], ["1932", "25", "20", "108.896"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
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