context stringlengths 362 4.81k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | max_new_tokens int64 128 128 | answer_prefix stringclasses 1
value |
|---|---|---|---|---|
Table InputTable: [["Player", "No.", "Nationality", "Position", "Years for Jazz", "School/Club Team"], ["Greg Foster", "44", "United States", "Center/Forward", "1995-99", "UTEP"], ["Jim Farmer", "30", "United States", "Guard", "1988-89", "Alabama"], ["Todd Fuller", "52", "United States", "Center", "1998-99", "North Car... | 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:... | Kyrylo Fesenko | 128 | Answer: |
Table InputTable: [["Year", "Single", "Chart Positions\\nUS Country", "Chart Positions\\nUS", "Album"], ["1964", "\"Th' Wife\"", "45", "—", "singles only"], ["1963", "\"Bad News\" (b/w \"Guitar Player(Her and Him)\")", "23", "—", "singles only"], ["1965", "\"That Ain't All\"", "20", "—", "singles only"], ["1968", "\"Od... | 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)" | 128 | Answer: |
Table InputTable: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Kris Kelmi\\n47.the singer", "Barracudas", "", "", "2nd Voted Out\\nDay 6", "1"], ["Aleksandr Pashutin\\n60.the actor", "Barracudas", "", "", "3rd Voted Out\\nDay 9", "7"], ["Aleksandr Byalko\\n50.the physi... | 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:... | Yelena Kondulaynen | 128 | Answer: |
Table InputTable: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["3", "June 11", "Portland", "Tuck Thomas", "Chevrolet Monza", "Bob Matkowitch", "Chevrolet Corvette"], ["5", "July 8", "Watkins Glen‡", "Hal Shaw, Jr.\\n Monte Shelton", "P... | 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:... | Westwood | 128 | Answer: |
Table InputTable: [["Tour", "Official title", "Venue", "City", "Date\\nStart", "Date\\nFinish", "Prize money\\nUSD", "Report"], ["4", "Swiss Open Super Series", "St. Jakobshalle", "Basel", "March 12", "March 18", "200,000", "Report"], ["11", "China Open Super Series", "Tianhe Gymnasium", "Guangzhou", "November 20", "No... | 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 days | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["24", "Henk Van De Lagemaat", "Honda", "+1 Lap", ""], ["Ret", "Andre Romein", "Honda", "Retirement", ""], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["1", "Loris Capirossi", "Honda", "38:04.730", "25"], ["8", "Stefano Perugini", "... | 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:... | Henk Van De Lagemaat | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2008", "African Championships", "Addis Ababa, Ethiopia", "6th", "800 m", "2:05.95"], ["2006", "African Championships", "Bambous, Mauritius", "13th (h)", "800 m", "2:10.50"], ["2009", "World Championships", "Berlin, Germany", "36th (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:... | 2011 | 128 | Answer: |
Table InputTable: [["Naturalisations by origin", "2000", "2005", "2009", "% Total 2009"], ["Africa", "84 182", "98 453", "85 144", "62.7"], ["South-East Asia", "7 265", "4 069", "2 475", "1.8"], ["South and Central America", "4 620", "5 498", "5 930", "4.4"], ["South Asia", "4 246", "4 436", "3 660", "2.7"], ["East Asi... | 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:... | Africa | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1939/40", "N/A", "ASL", "2nd(t)", "No playoff", "Co-champion"], ["1945/46", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1935/36", "N/A", "ASL", "2nd", "No playoff", "?"], ["1934/35", "N/A", "ASL", "6th", "No playof... | 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:... | 1939/40 | 128 | Answer: |
Table InputTable: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["2003", "206", "11", "12.8", "20.7"], ["1998", "153", "14", "", ""], ["1994", "154", "", "", ""], ["1995", "139", "", "", ""], ["1996", "130", "", "", ""], ["1997", "141", "... | 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 | 128 | Answer: |
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", "10.", "6 February 2011", "Chile Open, Santiago, Chile", "Clay", "Santiago Giraldo", "6–2, 2–6, 7–6(7–5... | 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:... | 3 | 128 | Answer: |
Table InputTable: [["Season", "Class", "Moto", "Races", "Win", "Podiums", "Pole", "Pts", "Position"], ["2005", "125cc", "Derbi", "13", "0", "0", "0", "1", "36th"], ["2004", "125cc", "Aprilia", "1", "0", "0", "0", "0", "NC"], ["2007", "125cc", "Derbi", "17", "0", "0", "0", "19", "22nd"], ["2009", "125cc", "Aprilia", "16... | 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 | 128 | Answer: |
Table InputTable: [["Specifications", "Foundation", "Essentials", "Standard", "Datacenter"], ["Active Directory Federation Services", "Yes", "No", "Yes", "Yes"], ["Active Directory Domain Services", "Must be root of forest and domain", "Must be root of forest and domain", "Yes", "Yes"], ["Active Directory Certificate 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:... | 1 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["2000", "Grand Prix Final", "Doha, Qatar", "4th", "100 m hurdles"], ["2003", "World Athletics Final", "Monaco", "6th", "100 m hurdles"], ["2002", "Grand Prix Final", "Paris, France", "7th", "100 m hurdles"], ["1997", "USA Outdoor Championships",... | 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 | 128 | Answer: |
Table InputTable: [["Distribution", "x86", "x86-64", "ia64", "ppc", "ppc64", "sparc32", "sparc64", "arm", "hppa", "mips", "sh", "s390", "s390x", "alpha", "m68k"], ["Distribution", "x86", "x86-64", "ia64", "ppc", "ppc64", "sparc32", "sparc64", "arm", "hppa", "mips", "sh", "s390", "s390x", "alpha", "m68k"], ["Arch Linux"... | 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:... | 29 | 128 | Answer: |
Table InputTable: [["Rank", "Player", "County", "Tally", "Total", "Opposition"], ["9", "John Byrne", "Carlow", "2–2", "8", "Westmeath"], ["6", "Seán McLoughlin", "Westmeath", "1–6", "9", "Carlow"], ["9", "Paul Flynn", "Waterford", "1–5", "8", "Tipperary"], ["3", "Gary Kirby", "Limerick", "0–10", "10", "Tipperary"], ["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:... | Seán McLoughlin | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Pulgarcito", "1", "November 11, 1995", "", ""], ["B.J.", "2", "March 15, 2008", "Lares, Puerto Rico", ""], ["Rex King", "1", "1995", "", ""], ["Sean Morley", "1", "1995", "", ""], ["Mighty Koadiak", "2", "November 26, 1995", "", ""], ["Vengador... | 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 | 128 | Answer: |
Table InputTable: [["#", "Name", "Height", "Weight (lbs.)", "Position", "Class", "Hometown", "Previous Team(s)"], ["40", "Jon Brockman", "6'7\"", "255", "F", "Jr.", "Snohomish, WA, U.S.", "Snohomish Sr. HS"], ["1", "Venoy Overton", "5'11\"", "180", "G", "Fr.", "Seattle, WA, U.S.", "Franklin HS"], ["11", "Matthew Bryan-... | 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:... | Joel Smith | 128 | Answer: |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["October 31", "at Illinois", "#16", "Memorial Stadium • Champaign, IL", "", "L 7-24", "66,877"], ["October 17", "at #5 Michigan", "#12", "Michigan Stadium • Ann Arbor, MI", "", "W 9-7", "105,915"], ["September 26", "#6 UCLA*", "",... | 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 17 | 128 | Answer: |
Table InputTable: [["Tie no", "Home team", "Score", "Away team", "Date", "Attendance"], ["16", "Stoke City", "3 – 0", "Bournemouth", "26 January 2003", "12,004"], ["10", "Fulham", "3 – 0", "Charlton Athletic", "26 January 2003", "12,203"], ["3", "Watford", "1 – 0", "West Bromwich Albion", "25 January 2003", "16,975"], ... | 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 | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs"], ["2008", "1", "USL W-League", "6th, Western", "Did not qualify"], ["2009", "1", "USL W-League", "7th, Western", "Did not qualify"], ["2012", "1", "USL W-League", "4th, Western", "Did not qualify"], ["2011", "1", "USL W-League", "7th, Western"... | 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 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "France", "11", "5", "3", "19"], ["8", "Tunisia", "0", "1", "0", "1"], ["3", "Yugoslavia", "3", "2", "1", "6"], ["2", "Greece", "6", "7", "6", "19"], ["5", "Morocco", "1", "1", "0", "2"], ["7", "Egypt", "0", "1", "7", "8"], ["4", "Spain",... | 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:... | France | 128 | Answer: |
Table InputTable: [["Year", "Designer(s)", "Brief description", "Selected by:", "Associated publication"], ["1974", "Ottavio and Rosita Missoni\\nPasquali (shoes)", "Male & female ensembles in knitted wool & rayon", "Jennifer Hocking", "Harper's Bazaar and Queen magazine"], ["1965", "John Bates for Jean Varon\\nAnello ... | 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 | 128 | Answer: |
Table InputTable: [["Year", "Name", "Label", "Hot Black Singles", "Club Play Singles"], ["1987", "\"Send It C.O.D.\"", "New Image", "―", "―"], ["1982", "\"Thanks to You\"", "Becket", "#44", "#1"], ["1984", "\"Thin Line\"", "Power House", "―", "―"], ["1986", "\"Say It Again\"", "Spring", "―", "―"], ["1986", "\"Say It Ag... | 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:... | Becket | 128 | Answer: |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2002/03", "RAEC Mons", "Jupiler League", "19", "0"], ["2003/04", "RAEC Mons", "Jupiler League", "23", "0"], ["2006/07", "KSV Roeselare", "Jupiler League", "29", "1"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["2008/09", "Excelsi... | 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 | 128 | Answer: |
Table InputTable: [["#", "Name", "Took office", "Left office", "Party", "Governor", "Notes"], ["50", "Sue Ellspermann", "January 14, 2013", "Incumbent", "Republican", "Mike Pence", ""], ["46", "Frank O'Bannon", "January 9, 1989", "January 13, 1997", "Democrat", "Evan Bayh", ""], ["45", "John Mutz", "January 12, 1981", ... | 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:... | Republican | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Nation", "Swimmers", "Time", "Time behind", "Notes"], ["6", "3", "Germany", "Jens Schreiber (1:49.08)\\nHeiko Hell (1:49.15)\\nLars Conrad (1:48.23)\\nChristian Keller (1:50.05)", "7:16.51", "9.18", ""], ["4", "6", "Great Britain", "Simon Burnett (1:47.90)\\nGavin Meadows (1:48.46)\... | 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:... | United States | 128 | Answer: |
Table InputTable: [["Season", "Footballer", "Club", "Position", "Nationality"], ["2001-02", "Jabu Pule", "Kaizer Chiefs", "MF", "South Africa"], ["2003-04", "Tinashe Nengomasha", "Kaizer Chiefs", "MF", "Zimbabwe"], ["2008-09", "Teko Modise", "Orlando Pirates", "MF", "South Africa"], ["2006-07", "Godfrey Sapula", "Mamel... | 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:... | 2010-11 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["3 March 2006", "Manchester City", "City of Manchester Stadium", "1–2", "42,200", "Kyle"], ["31 January 2006", "Middlesbrough", "Stadium of Light", "0–3", "31,675", ""], ["30 November 2005", "Liverpool", "Stadium of Light", "0–2", "32... | 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:... | 27 August 2005 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["8", "October 26, 1981", "at Pittsburgh Steelers", "L 26–13", "52,732"], ["11", "November 15, 1981", "at Kansas City Chiefs", "L 23–10", "73,984"], ["16", "December 20, 1981", "Pittsburgh Steelers", "W 21–20", "41,056"], ["6", "October 11, 1981",... | 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 | 128 | Answer: |
Table InputTable: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Nursing", "Dr. Bug-Bot", "Florence Nightengale", "1860", "England", "Doctor"], ["Olympics", "Rhonda Robot", "Greeks", "776 B.C.", "Greece", "Beauty queen"], ["Painting", "Pierro-Bot", "Stone-Age Humans", "35,000 B.C.", "Europe", ... | 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 | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["11", "Alex Hofmann", "TSR-Honda", "+26.933", "5"], ["Ret", "Andre Romein", "Honda", "Retirement", ""], ["Ret", "Maurice Bolwerk", "TSR-Honda", "Retirement", ""], ["1", "Loris Capirossi", "Honda", "38:04.730", "25"], ["18", "Julien Allemand... | 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:... | Honda | 128 | Answer: |
Table InputTable: [["", "Chronological\\nNo.", "Date\\n(New style)", "Water level\\ncm", "Peak hour"], ["8", "14", "1 November 1726", "270", "–"], ["2", "210", "23 September 1924", "380", "19:15"], ["23", "45", "29 September 1756", "242", ""], ["24", "136", "20 October 1873", "242", "–"], ["14", "25", "10 September 173... | 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:... | 22 | 128 | Answer: |
Table InputTable: [["Date", "Venue", "Opponent", "Result", "Scoreline", "China scorers"], ["April 16", "Seattle", "Mexico", "Lost", "0-1", "—"], ["April 23", "Los Angeles", "El Salvador", "Drawn", "2-2", "Xiao Zhanbo 62' pen\\nQu Bo 63'"], ["January 10", "Dubai", "United Arab Emirates", "Drawn", "0-0", "—"], ["Dec 21",... | 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 | 128 | Answer: |
Table InputTable: [["Cellulose ethers", "Reagent", "Example", "Reagent", "Group R = H or", "Water solubility", "Application", "E number"], ["Alkyl", "Halogenoalkanes", "Methylcellulose", "Chloromethane", "-CH3", "Cold water soluble", "", "E461"], ["Hydroxyalkyl", "Epoxides", "Hydroxyethyl cellulose", "Ethylene oxide", ... | 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:... | Epoxides | 128 | Answer: |
Table InputTable: [["Match Day", "Date", "Opponent", "H/A", "Score", "Aberdeen Scorer(s)", "Attendance"], ["5", "12 September", "Ayr United", "A", "0–1", "", "2,000"], ["24", "9 January", "Ayr United", "H", "1–1", "Cail", "4,500"], ["8", "28 September", "Queen's Park", "H", "1–1", "Main", "5,000"], ["2", "22 August", "... | 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 | 128 | Answer: |
Table InputTable: [["Chord", "Root", "Minor Third", "Perfect Fifth", "Major Seventh"], ["CmM7", "C", "E♭", "G", "B"], ["EmM7", "E", "G", "B", "D♯"], ["AmM7", "A", "C", "E", "G♯"], ["E♭mM7", "E♭", "G♭", "B♭", "D"], ["A♭mM7", "A♭", "C♭ (B)", "E♭", "G"], ["FmM7", "F", "A♭", "C", "E"], ["C♯mM7", "C♯", "E", "G♯", "B♯ (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:... | E | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints"], ["18", "Valerie McFarland-Beddoe (AUS)", "401.13", "18", ""], ["23", "Angela Ribeiro (BRA)", "370.68", "23", ""], ["24", "Rim Hassan (EGY)", "258.63", "24", ""], ["17", "Claire Izacard (FRA)", "403.17", "17", ""], ["13... | 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 | 128 | Answer: |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["Great Pyramid of Giza", "Egypt", "Giza", "146 / 480", "Mausoleum", "2570 BC–1311", "Due to erosion today it stands at the height of 138.8 metres (455 ft)."], ["Eiffel Tower", "France", "Paris", "300.6 / ... | 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:... | 3881 | 128 | Answer: |
Table InputTable: [["Name", "Topic", "Cost", "Target age", "Advertising"], ["Starfall.com", "Reading", "Free", "2-9", "None"], ["LearnAlberta.ca", "Everything (mainly aimed at teachers)", "Free", "5-18", "No"], ["Awesome Library", "All", "Free", "All", "Yes - large"], ["IXL", "Math", "$80/year", "4-12", "?"], ["Archime... | 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 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["DNPQ", "34", "Claudio Langes", "EuroBrun-Judd", "", "", "", ""], ["DNPQ", "33", "Roberto Moreno", "EuroBrun-Judd", "", "", "", ""], ["DNPQ", "31", "Bertrand Gachot", "Coloni-Subaru", "", "", "", ""], ["DNQ", "14", "Ol... | 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:... | Italy | 128 | Answer: |
Table InputTable: [["Season", "Conference", "Head Coach", "Total Wins", "Total Losses", "Total Ties", "Conference Wins", "Conference Losses", "Conference Ties", "Conference Standing", "Postseason Result"], ["1908", "Southern Intercollegiate", "Ralph Foster", "4", "1", "1", "—", "—", "—", "—", "—"], ["Totals:\\n105 Seas... | 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 | 128 | Answer: |
Table InputTable: [["Date introduced", "Class 1 (e.g. Motorbike)", "Class 2 (e.g. Car)", "Class 3 (e.g. Car with trailer)", "Class 4 (e.g. Van)", "Class 5 (e.g. HGV)"], ["1 January 2008", "£2.50", "£4.50", "£8.00", "£9.00", "£9.00"], ["1 March 2012", "£3.00", "£5.50", "£10.00", "£11.00", "£11.00"], ["9 December 2003", ... | 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 June 2005 | 128 | Answer: |
Table InputTable: [["Conference", "# of Bids", "Record", "Win %", "Round\\nof 32", "Sweet\\nSixteen", "Elite\\nEight", "Final\\nFour", "Championship\\nGame"], ["Big East", "2", "5–2", ".714", "2", "2", "1", "–", "–"], ["Big Eight", "4", "3–4", ".429", "2", "1", "–", "–", "–"], ["West Coast", "2", "0–2", "–", "–", "–", ... | 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:... | 9 | 128 | Answer: |
Table InputTable: [["", "Name on the Register", "Date listed", "Location", "City or town", "Summary"], ["32", "Strafford Union Academy", "September 22, 1983\\n(#83001155)", "NH 126 and NH 202A\\n43°16′07″N 71°07′23″W / 43.268611°N 71.123056°W", "Strafford", ""], ["31", "Strafford County Farm", "February 25, 1981\\n(#... | 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:... | Samuel Wyatt House | 128 | Answer: |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Gregory Nelson", "3", "0", "1", "4"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Tomislav Kostadinov", "0", "0", "1", "1"], ["Kostadin Stoyanov", "1", "0", "0", "1"], ["Christian Tiboni", "0", "0", "1", "1"], ["Pavel Vidanov", "0", "0", "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:... | Giuseppe Aquaro | 128 | Answer: |
Table InputTable: [["#", "Title", "Featured guest(s)", "Producer(s)", "Time", "Sample (s)"], ["10", "\"Like That\"", "Ice Cube, Daz Dillinger & CJ Mac", "Daz Dillinger", "4:29", "*\"Just Rhymin' With Biz\" by Big Daddy Kane\\n*\"West Up!\" by WC and the Maad Circle"], ["7", "\"Just Clownin'\"", "", "Battlecat", "3:59",... | 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:... | "Call It What You Want" | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["6", "South Korea", "0", "0", "2", "2"], ["5", "North Korea", "1", "0", "1", "2"], ["2", "Japan", "7", "10", "7", "24"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["1", "China", "13", "9", "13", "35"], ["4", "Kazakhstan", "2", "2", "0", "4"], [... | 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 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2006", "World Junior Championships", "Beijing, China", "5th", "5.30 m"], ["2011", "World Championships", "Daegu, South Korea", "9th", "5.65 m"], ["2008", "Olympic Games", "Beijing, China", "10th", "5.45 m"], ["2009", "World Championships", "Ber... | 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:... | Olympic Games | 128 | Answer: |
Table InputTable: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["8", "Fram", "18", "4", "5", "9", "22", "33", "-11", "17", ""], ["4", "ÍBV", "18", "8", "5", "5", "29", "17", "+12", "29", "Inter-Toto Cup"], ["7", "Breiðablik", "18", "5", "3", "10"... | 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:... | 17 | 128 | Answer: |
Table InputTable: [["President", "Became Oldest Living President", "Ceased to Be Oldest Living President", "Age at Start Date", "Age at End Date", "Duration (Years, Days)", "Duration (Days)"], ["George H. W. Bush", "December 26, 2006", "Current oldest living president", "82 years, 197 days", "Current oldest living pres... | 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:... | George Washington | 128 | Answer: |
Table InputTable: [["Parish", "Church name", "Location", "Year built"], ["Levanger", "Bamberg Church", "Levanger", "1998"], ["Levanger", "Levanger Church", "Levanger", "1902"], ["Alstadhaug", "Alstadhaug Church", "Alstadhaug", "1180"], ["Markabygd", "Markabygda Church", "Markabygd", "1887"], ["Okkenhaug", "Okkenhaug Ch... | 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:... | 96 | 128 | Answer: |
Table InputTable: [["Player", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Milicic", "2", "-", "-", "2"], ["Zdrilic", "1", "-", "-", "1"], ["Cahill", "-", "-", "1", "1"], ["Griffiths", "1", "-", "-", "1"], ["Bresciano", "2", "-", "1", "3"], ["Elrich", "1", "-", "-", "1"], ["Colosim... | 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 | 128 | Answer: |
Table InputTable: [["Polling Firm", "Source", "Date Published", "N.Anastasiades", "G.Lillikas", "S.Malas", "Others"], ["Evresis", "[2]", "18 September 2012", "35.2%", "17.5%", "19.7%", "1.7%"], ["Evresis", "[10]", "27 November 2012", "37.1%", "19.6%", "20.8%", "0.6%"], ["Evresis", "[6]", "2 November 2012", "36.9%", "17... | 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:... | 48.4%, 22.52%, 25.29%, 3.79% | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Macau (MAC)", "11", "16", "17", "44"], ["1", "China (CHN)", "127", "63", "33", "223"], ["7", "Hong Kong (HKG)", "2", "2", "9", "13"], ["4", "Chinese Taipei (TPE)", "12", "34", "26", "72"], ["3", "South Korea (KOR)", "32", "48", "65", "14... | 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:... | 16 | 128 | Answer: |
Table InputTable: [["#", "Weekend End Date", "Film", "Box Office"], ["30", "July 26, 1998", "Godzilla", "£2,145,088"], ["29", "July 19, 1998", "Godzilla", "£4,176,960"], ["1", "January 4, 1998", "Starship Troopers", "£2,221,631"], ["18", "May 3, 1998", "Scream 2", "£2,493,950"], ["7", "February 15, 1998", "Titanic", "£... | 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:... | 23 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["9", "2", "Rubens Barrichello", "Ferrari", "65", "+1 lap", "16", ""], ["12", "18", "Tiago Monteiro", "Jordan-Toyota", "63", "+3 laps", "18", ""], ["Ret", "1", "Michael Schumacher", "Ferrari", "46", "Puncture", "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:... | Jacques Villeneuve | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["2", "1", "Bruno Junqueira", "Newman/Haas Racing", "87", "+0.8 secs", "2", "17"], ["17", "2", "Sébastien Bourdais", "Newman/Haas Racing", "77", "Mechanical", "4", "0"], ["11", "27", "Bryan Herta", "PK Racing", "86", "+ 1 Lap"... | 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 | 128 | Answer: |
Table InputTable: [["Comet", "Discoverer(s) or namesake(s)", "Orbital period (years)", "Spacecraft encounter(s)"], ["1P/Halley", "Halley", "75.32", "Giotto (flyby 1986), Vega 1 (flyby 1986), Vega 2 (flyby 1986), Suisei (flyby 1986) ICE (distant flyby 1986), Sakigake (distant flyby 1986)"], ["250P/Larson", "Larson (Cata... | 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 | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["1998", "4", "USISL PDSL", "4th, Central", "Division Finals", "1st Round"], ["2003", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did not qualify"], ["1999", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did n... | 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:... | 16 | 128 | Answer: |
Table InputTable: [["Date", "Rnd", "Race Name", "Circuit", "City/Location", "Pole position", "Winning driver", "Winning team", "Report"], ["10", "August 5", "Marlboro 500", "Michigan International Speedway", "Brooklyn, Michigan", "Emerson Fittipaldi", "Al Unser, Jr.", "Galles-Kraco Racing", "Report"], ["11", "August 26... | 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 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Korea", "1", "1", "2", "4"], ["7", "Japan", "0", "0", "2", "2"], ["1", "Malaysia", "3", "0", "1", "4"], ["2", "Indonesia", "1", "3", "2", "6"], ["8", "India", "0", "0", "1", "1"], ["4", "Thailand", "1", "0", "0", "1"], ["5", "Chinese Tai... | 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:... | Malaysia | 128 | Answer: |
Table InputTable: [["District", "Location", "Communities served"], ["Saint Mary's School", "Chardon, Ohio", "Roman Catholic Diocese of Cleveland preschool - 8th grade; parishioners and non-parishioners"], ["Saint Helen's School", "Newbury, Ohio", "Roman Catholic Diocese of Cleveland K - 8th grade; parishioners and non-... | 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 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Guyana", "0", "1", "0", "1"], ["9", "Netherlands Antilles", "0", "0", "1", "1"], ["9", "Panama", "0", "0", "1", "1"], ["1", "Brazil", "7", "5", "3", "15"], ["9", "Uruguay", "0", "0", "1", "1"], ["2", "Venezuela", "3", "2", "8", "13"], ["... | 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 | 128 | Answer: |
Table InputTable: [["Opus", "Title", "Subdivisions", "Compo-sition", "Première date", "Place, theatre"], ["15", "Die heilige Linde", "3 acts", "1927", "2001", "Keulen (prelude only)"], ["14", "Rainulf und Adelasia", "3 acts", "1922", "1923", "Rostock (prelude only)"], ["3", "Der Kobold", "3 acts", "1903", "29 January ... | 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 | 128 | Answer: |
Table InputTable: [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["1", "Alejandro Valverde (ESP)", "Caisse d'Epargne", "5h 29' 10\"", "40"], ["2", "Alexandr Kolobnev (RUS)", "Team CSC Saxo Bank", "s.t.", "30"], ["8", "Stéphane Goubert (FRA)", "Ag2r-La Mondiale", "+ 2\"", "5"], ["10", "David Moncoutié (FR... | 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:... | Alejandro Valverde | 128 | Answer: |
Table InputTable: [["Year", "Title", "Genre", "Publisher", "Notes"], ["1923", "Tappan's Burro", "Western", "Harper & Brothers", ""], ["1930", "The Wolf Tracker", "Western", "Harper & Brothers", ""], ["1910", "The Young Forester", "Western", "Harper & Brothers", ""], ["1930", "The Shepherd of Guadaloupe", "Western", "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:... | The Heritage of the Desert | 128 | Answer: |
Table InputTable: [["Year", "Name", "Label", "Hot Black Singles", "Club Play Singles"], ["1983", "\"I Need You Now\"", "Jive", "―", "―"], ["1982", "\"Thanks to You\"", "Becket", "#44", "#1"], ["1982", "\"He's Gonna Take You Home\"", "Becket", "―", "―"], ["1984", "\"Thin Line\"", "Power House", "―", "―"], ["1987", "\"Se... | 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:... | "Thanks to You" | 128 | Answer: |
Table InputTable: [["Olympics", "Athlete", "Judge (Official)", "Coach", "Language"], ["1984 Summer Olympics", "Edwin Moses", "Sharon Weber", "-", "English"], ["1932 Summer Olympics", "George Calnan", "-", "-", "English"], ["1980 Winter Olympics", "Eric Heiden", "Terry McDermott", "-", "English"], ["1980 Summer Olympics... | 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:... | 1972 | 128 | Answer: |
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"], ["8", "September 4", "Road America", "Greg Pickett", "Chevrolet Corvette", ... | 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 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2007", "Universiade", "Bangkok, Thailand", "1st", "400 m", ""], ["2006", "Asian Games", "Doha, Qatar", "1st", "400 m", ""], ["2001", "World Youth Championships", "Debrecen, Hungary", "4th", "400 m", ""], ["2006", "Asian Games", "Doha, ... | 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:... | Doha, Qatar | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Australia (AUS)", "2", "1", "0", "3"], ["7", "Great Britain (GBR)", "0", "0", "1", "1"], ["3", "Germany (EUA)", "1", "0", "1", "2"], ["7", "France (FRA)", "0", "0", "1", "1"], ["5", "Switzerland (SUI)", "0", "2", "1", "3"], ["2", "Italy ... | 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 | 128 | Answer: |
Table InputTable: [["Year", "Class", "No", "Tyres", "Car", "Team", "Co-Drivers", "Laps", "Pos.", "Class\\nPos."], ["1993", "GT", "71", "D", "Venturi 500LM\\nRenault PRV 3.0 L Turbo V6", "Jacadi Racing", "Michel Maisonneuve\\n Christophe Dechavanne", "210", "DNF", "DNF"], ["1996", "GT1", "38", "M", "McLaren F1 GTR\\nBMW... | 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 | 128 | Answer: |
Table InputTable: [["Poll Source", "Sample Size", "Margin of Error", "Date", "Democrat", "%", "Republican", "%"], ["Rasmussen Reports", "500", "4.5", "Mar 31, 2008", "Hillary Clinton", "36", "John McCain", "51"], ["Rasmussen Reports", "500", "", "Feb 18, 2008", "Hillary Clinton", "37", "John McCain", "47"], ["Survey US... | 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 McCain | 128 | Answer: |
Table InputTable: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Venezuela", "2014", "6", "5009", "The Bolivarian Armada of Venezuela ordered 6 vessels together with 6 Damen Stan Patrol 4207 in March 2014. They are being built in UCOCAR shipyard with the assistance of DAMEX Shipbuilding & Engineering, Cuba."], ["N... | 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:... | Canada | 128 | Answer: |
Table InputTable: [["Place", "Shooter", "5 pts", "4 pts", "3 pts", "2 pts", "1 pts", "0 pts", "Total", "Rank"], ["2", "Sweden (SWE)", "8", "19", "12", "1", "-", "-", "154", ""], ["1", "Norway (NOR)", "12", "16", "12", "-", "-", "-", "160", ""], ["5", "Finland (FIN)", "7", "10", "15", "5", "-", "3", "130", ""], ["1", "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:... | 6 | 128 | Answer: |
Table InputTable: [["Conference", "# of Bids", "Record", "Win %", "Round\\nof 32", "Sweet\\nSixteen", "Elite\\nEight", "Final\\nFour", "Championship\\nGame"], ["Western Athletic", "1", "1–1", ".500", "1", "–", "–", "–", "–"], ["West Coast", "2", "0–2", "–", "–", "–", "–", "–", "–"], ["Big Ten", "5", "9–5", ".643", "4",... | 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 | 128 | Answer: |
Table InputTable: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["13", "19", "Rama-Tut", "After coming back from vacation Reed tells Ben an interesting theory on attempting to restore him. They head to Dr. Doom’s deserted castle to use the time machine the doctor left behind. In 2000 B.C the four weaken during ... | 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:... | 1967 | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["160", "Kari Kanervo", "Centre", "Finland", "Minnesota North Stars", "TPS (Finland)"], ["157", "Petri Skriko", "Right Wing", "Finland", "Vancouver Canucks", "Saipa (Finland)"], ["151", "Denis Dore", "Right Wing"... | 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:... | Left Wing | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air date", "Rating", "Share", "18-49 (Rating/Share)", "Viewers (m)", "Rank (night)", "Rank (timeslot)", "Rank (overall)"], ["7", "\"The Past Comes Back to Haunt You\"", "November 16, 2007", "6.2", "11", "1.7/5", "8.94", "#4", "#1", "#41"], ["8", "\"No Opportunity Necessary\"", "Nove... | 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 | 128 | Answer: |
Table InputTable: [["Atomic\\nno.", "Name", "Symbol", "Group", "Period", "Block", "State at\\nSTP", "Occurrence", "Description"], ["88", "Radium", "Ra", "2", "7", "s", "Solid", "Transient", "Alkaline earth metal"], ["45", "Rhodium", "Rh", "9", "5", "d", "Solid", "Primordial", "Transition metal"], ["90", "Thorium", "Th"... | 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:... | Actinium | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["17 April 2006", "Newcastle United", "Stadium of Light", "1–4", "40,032", "Hoyte"], ["12 February 2006", "Tottenham Hotspur", "Stadium of Light", "1–1", "34,700", "Murphy"], ["26 November 2005", "Birmingham City", "Stadium of Light", ... | 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:... | 19 | 128 | Answer: |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2003", "November 16", "Philadelphia Eagles", "28-10", "New York Giants", "Lincoln Financial Field"], ["2005", "December 11", "New York Giants", "26-23 (OT)", "Philadelphia Eagles", "Lincoln Financial Field"], ["2008", "November 9", "New Yor... | 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:... | 2009 | 128 | Answer: |
Table InputTable: [["Match Day", "Date", "Opponent", "H/A", "Score", "Aberdeen Scorer(s)", "Attendance"], ["5", "12 September", "Ayr United", "A", "0–1", "", "2,000"], ["24", "9 January", "Ayr United", "H", "1–1", "Cail", "4,500"], ["32", "6 March", "Partick Thistle", "H", "0–0", "", "6,000"], ["19", "12 December", "Pa... | 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:... | 76,000 | 128 | Answer: |
Table InputTable: [["#", "Player", "Goals", "Caps", "Career"], ["1", "Landon Donovan", "57", "155", "2000–present"], ["8", "Eddie Johnson", "19", "62", "2004–present"], ["2", "Clint Dempsey", "36", "103", "2004–present"], ["6T", "Jozy Altidore", "21", "67", "2007–present"], ["6T", "Bruce Murray", "21", "86", "1985–1993... | 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:... | Eddie Johnson | 128 | Answer: |
Table InputTable: [["Player", "No.", "Nationality", "Position", "Years for Jazz", "School/Club Team"], ["Greg Foster", "44", "United States", "Center/Forward", "1995-99", "UTEP"], ["Todd Fuller", "52", "United States", "Center", "1998-99", "North Carolina State"], ["Terry Furlow", "25", "United States", "Guard/Forward"... | 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:... | United States | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["1997", "USA Outdoor Championships", "Indianapolis, United States", "1st", "100 m hurdles"], ["2000", "Olympic Games", "Sydney, Australia", "3rd", "100 m hurdles"], ["1997", "World Indoor Championships", "Paris, France", "5th", "60 m hurdles"], ... | 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:... | Indianapolis, United States | 128 | Answer: |
Table InputTable: [["No. in\\nseries", "No. in\\nseason", "Title", "Directed by", "Written by", "Original air date", "Prod.\\ncode"], ["4", "7", "\"Danny was a Million Laughs\"", "Mark Rydell", "Arthur Dales", "October 27, 1965", "107"], ["12", "11", "\"Weight of the World\"", "Paul Wendkos", "Robert Lewin", "December ... | 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 | 128 | Answer: |
Table InputTable: [["Date", "Location", "Opponent", "Result", "Competition"], ["September 6, 2013", "Incheon, South Korea", "South Korea", "1-4", "F"], ["March 24, 2013", "Santo Domingo, Dominican Republic", "Dominican Republic", "1–3", "F"], ["July 12, 2013", "Miami Gardens, United States", "Trinidad and Tobago", "2-0... | 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 | 128 | Answer: |
Table InputTable: [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["1987-88", "1", "1988 1st Division", "Bent Christensen (21)", "Finalist", "EC3 2nd round", ""], ["1988-89", "2", "1989 1st Division", "Bent Christensen (10)", "Winner", "EC1 1st round", ""],... | 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 | 128 | Answer: |
Table InputTable: [["Year", "Film", "Rotten Tomatoes", "Metacritic", "IMDb"], ["2000", "Dancer in the Dark", "68%", "61%", "8.0/10"], ["2009", "Antichrist", "48%", "49%", "6.6/10"], ["2013", "Nymphomaniac: Volume I", "77%", "63%", "7.5/10"], ["2013", "Nymphomaniac: Volume II", "79%", "76%", "7.2/10"], ["1998", "The Idi... | 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:... | Nymphomaniac: Volume II | 128 | Answer: |
Table InputTable: [["Rank", "Mountain Peak", "Nation", "Province", "Elevation", "Prominence", "Isolation"], ["8", "Montañas Peña Blanca High Point PB", "Guatemala", "Huehuetenango", "3518 m\\n11,542 ft", "1858 m\\n6,096 ft", "42 km\\n26 mi"], ["14", "Montaña San Ildefonso PB", "Honduras", "Cortés", "2242 m\\n7,356 ft",... | 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:... | Volcán Tajumulco PB | 128 | Answer: |
Table InputTable: [["Date", "Rnd", "Race Name", "Circuit", "City/Location", "Pole position", "Winning driver", "Winning team", "Report"], ["NC", "October 6", "Marlboro Challenge", "Nazareth Speedway", "Nazareth, Pennsylvania", "Michael Andretti", "Rick Mears", "Team Penske", "Report"], ["15", "October 7", "Bosch Spark ... | 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:... | Doug Shierson Racing | 128 | Answer: |
Table InputTable: [["Episode", "Show #", "Iron Chef", "Challenger", "Challenger specialty", "Secret ingredient(s) or theme", "Winner", "Final score"], ["7", "IA0510", "Mario Batali", "Charles Clark", "New American", "Halibut", "Mario Batali", "51-50"], ["6", "IA0506", "Bobby Flay", "Kurt Boucher", "French-American", "A... | 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 | 128 | Answer: |
Table InputTable: [["Year", "Result", "Award", "Film"], ["2008", "Nominated", "People's Choice Award Favorite Male TV Star", ""], ["2008", "Nominated", "Outstanding Lead Actor - Comedy Series", "Two and a Half Men"], ["2007", "Nominated", "People's Choice Award Favorite Male TV Star", ""], ["2008", "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:... | 2 years | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2", "Austria", "4", "3", "4", "11"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["9", "Germany", "1", "0", "1", "2"], ["7", "Norway", "2", "1", "1", "4"], ["8", "Italy", "1", "2", "0", "3"], ["4", "Switzerland", "3", "2", "1", "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:... | Soviet Union | 128 | Answer: |
Table InputTable: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["5", "July 8", "Watkins Glen‡", "Hal Shaw, Jr.\\n Monte Shelton", "Porsche 935", "Brian Fuerstenau\\n Bob Tullius", "Jaguar XJS"], ["7", "August 19", "Mosport", "Greg Picke... | 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:... | Ludwig Heimrath | 128 | Answer: |
Table InputTable: [["Goal", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["1", "2008-5-28", "Sheriff Stadium, Tiraspol, Moldova", "Moldova", "0-1", "2–2", "Friendly match"], ["6", "2012-2-29", "Tsirion Stadium, Limassol, Cyprus", "Canada", "1-1", "1-3", "Friendly match"], ["3", "2011-6-4", "Petrovsky... | 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:... | Sheriff Stadium, Tiraspol, Moldova | 128 | Answer: |
Table InputTable: [["Year", "Organization", "Award", "Work", "Result"], ["2007", "16th Hashida Awards", "Newcomer Award", "Hana Yori Dango 2", "Won"], ["2012", "16th Nikkan Sport Grand Prix", "Best Actress", "Tokkan", "Nominated"], ["2011", "35th Fumiko Yamaji Award Film Awards", "Newcomer Actress", "Youkame no Semi", ... | 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:... | Newcomer Award | 128 | Answer: |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2001", "Tasmania", "", "", "", ""], ["2009", "Queensland", "", "Alkupitja", "Tangentyere", "New South Wales"], ["2002", "Northern Territory", "", "Darw... | 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:... | 2001 | 128 | Answer: |
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