context stringlengths 231 1.31k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 |
|---|---|---|---|---|
Table InputTable: [["Round", "Round", "Race", "Date", "Pole Position", "Fastest Lap", "Winning Club", "Winning Team", "Report"], ["3", "R1", "Zolder", "October 5", "Borussia Dortmund", "Liverpool F.C.", "Liverpool F.C.", "Hitech Junior Team", "Report"], ["6", "R1", "Jerez", "November 23", "Liverpool F.C.", "R.S.C. Ande... | 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:... | Beijing Guoan | Answer: | 128 |
Table InputTable: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Sadlers Corner", "1", "Venango County", "", ""], ["Shaffers Corners", "1", "Lackawanna County", "", ""], ["St. Martins", "1", "Philadelphia County", "", ""], ["Sheraden", "1", "Allegheny County", "", ""... | 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:... | Sacramento | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2", "Italy (ITA)", "1", "1", "1", "3"], ["7", "France (FRA)", "0", "0", "1", "1"], ["3", "Germany (EUA)", "1", "0", "1", "2"], ["5", "Switzerland (SUI)", "0", "2", "1", "3"], ["7", "Great Britain (GBR)", "0", "0", "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:... | 3 | Answer: | 128 |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["2013", "30 Nov 2012", "Lake Louise, Canada", "Downhill", "3rd"], ["2012", "2 Dec 2011", "Lake Louise, Canada", "Downhill", "2nd"], ["2014", "8 Dec 2013", "Lake Louise, Canada", "Super-G", "2nd"], ["2014", "7 Dec 2013", "Lake Louise, Canada", "D... | 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:... | Bansko, Bulgaria | Answer: | 128 |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["3", "Dunlop Townsville 400", "Townsville Street Circuit", "Townsville, Queensland", "10-12 Jul", "James Moffat"], ["2", "Winton", "Winton Motor Raceway", "Benalla, Victoria", "1-3 May", "Jonathon Webb"], ["1", "Clipsal 500", "Adelaide Stree... | 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: [["Route", "Destinations", "Via", "Frequency\\n(minutes)", "Peak Hours Only", "Former"], ["4", "Princess Street", "Cataraqui Town Centre\\nDowntown", "30", "", ""], ["6", "Cataraqui Town Centre\\nSt. Lawrence College", "Gardiners Town Centre", "30", "", "Downtown"], ["7", "Dalton/Division\\nMidland/Ga... | 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: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Painting", "Pierro-Bot", "Stone-Age Humans", "35,000 B.C.", "Europe", "Clown/Artist"], ["Nursing", "Dr. Bug-Bot", "Florence Nightengale", "1860", "England", "Doctor"], ["Boomerang", "Oswald the Mailman Robot", "Aborigines", "40,0... | 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:... | Tools | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Runner-up", "9.", "February 26, 1996", "Memphis, Tennessee, USA", "Hard (i)", "Pete Sampras", "4–6, 6–7(2–7)"], ["Runner-up", "5.", "January 31, 1994", "Australian Open, Melbourne, Australia", "Har... | 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: [["Year", "Class", "No", "Tyres", "Car", "Team", "Co-Drivers", "Laps", "Pos.", "Class\\nPos."], ["1996", "GT1", "38", "M", "McLaren F1 GTR\\nBMW S70 6.1L V12", "Team Bigazzi SRL", "Steve Soper\\n Marc Duez", "318", "11th", "9th"], ["1993", "GT", "71", "D", "Venturi 500LM\\nRenault PRV 3.0 L Turbo V6",... | 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:... | Team Bigazzi SRL | Answer: | 128 |
Table InputTable: [["ZOOM", "Cast Member 1", "Cast Member 2", "Cast Member 3", "Cast Member 4", "Cast Member 5", "Cast Member 6", "Cast Member 7"], ["Season 3 (2001)", "Frances Domond", "Kenneth \"Kenny\" Yates", "Rachel Redd", "Eric Rollins", "Kaleigh Cronin", "Kevin \"Buzz\" Barrette", "Caroline Botelho"], ["Season 7... | 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:... | SEASON 7 | Answer: | 128 |
Table InputTable: [["Fence", "Name", "Jockey", "Age", "Handicap (st-lb)", "Starting price", "Fate"], ["13", "Phebu", "J Morrissey", "8", "10-13", "33/1", "Brought Down"], ["18", "Leedsy", "George Robinson", "7", "10-13", "18/1", "Fell"], ["22", "Kapeno", "David Dick", "8", "11-6", "100/8", "Fell"], ["?", "Blonde Warrio... | 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: [["Round", "Pick", "Name", "Position", "College"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["2", "39", "Mike Brown", "S", "Nebraska"], ["7", "223", "James Cotton", "DE", "Ohio State"], ["6", "174", "Paul Edinger", "K", "Michigan State"], ["3", "69", "Dez White", "WR", "Georgia Tech"], ["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:... | 9 | Answer: | 128 |
Table InputTable: [["Rank", "Athlete", "Nationality", "2.15", "2.20", "2.24", "2.27", "Result", "Notes"], ["1.", "Víctor Moya", "Cuba", "o", "o", "o", "o", "2.27", "q, PB"], ["9.", "Ramsay Carelse", "South Africa", "xo", "xo", "o", "xxx", "2.24", ""], ["1.", "Yaroslav Rybakov", "Russia", "o", "o", "o", "o", "2.27", "q"... | 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: [["#", "Name", "Hanzi", "Hanyu Pinyin", "Population (2003 est.)", "Area (km²)", "Density (/km²)"], ["2", "Dong'an District", "东安区", "Dōng'ān Qū", "180,000", "566", "318"], ["4", "Xi'an District", "西安区", "Xī'ān Qū", "210,000", "325", "646"], ["3", "Yangming District", "阳明区", "Yángmíng Qū", "160,000", "... | 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", "Competition", "Venue", "Position", "Event"], ["2000", "Olympic Games", "Sydney, Australia", "3rd", "100 m hurdles"], ["2004", "Olympic Games", "Athens, Greece", "3rd", "100 m hurdles"], ["1997", "World Indoor Championships", "Paris, France", "5th", "60 m hurdles"], ["2003", "World Athletics... | 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: [["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:... | 3 | Answer: | 128 |
Table InputTable: [["Specifications", "Foundation", "Essentials", "Standard", "Datacenter"], ["User limit", "15", "25", "Unlimited", "Unlimited"], ["File Services limits", "1 standalone DFS root", "1 standalone DFS root", "Unlimited", "Unlimited"], ["Licensing model", "Per server", "Per server", "Per CPU pair + CAL", "... | 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:... | Foundation | Answer: | 128 |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["1993", "27 Feb 1993", "Whistler, BC, Canada", "Downhill", "2nd"], ["1994", "12 Mar 1994", "Whistler, BC, Canada", "Downhill", "3rd"], ["1995", "11 Dec 1994", "Tignes, France", "Super G", "2nd"], ["1994", "16 Mar 1994", "Vail, CO, USA", "Downhil... | 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:... | Tignes, France | Answer: | 128 |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-A-5", "2006..", "[[]]", "[[]]", "-"], ["GL-A-3", "2006..", "[[]]", "[[]]", "-"], ["GL-A-4", "2006..", "[[]]", "[[]]", "-"], ["GL-A-2", "2006..", "[[]]", "[[]]", "-"], ["GL-A-1", "2006..", "[[]]", "[[]]", "-"], ["GL-A-6", "2006..", "[[]]", "[[]]",... | 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:... | GL-A-6 | Answer: | 128 |
Table InputTable: [["#", "Name", "Hanzi", "Hanyu Pinyin", "Population (2003 est.)", "Area (km²)", "Density (/km²)"], ["4", "Xi'an District", "西安区", "Xī'ān Qū", "210,000", "325", "646"], ["2", "Dong'an District", "东安区", "Dōng'ān Qū", "180,000", "566", "318"], ["3", "Yangming District", "阳明区", "Yángmíng Qū", "160,000", "... | 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:... | Hailin City | Answer: | 128 |
Table InputTable: [["Date", "Time", "", "Score", "", "Set 1", "Set 2", "Set 3", "Set 4", "Set 5", "Total", "Report"], ["17 Nov", "14:00", "Canada", "3–0", "Kazakhstan", "25–21", "26–24", "25–21", "", "", "76–66", "P2 P3"], ["19 Nov", "18:00", "Canada", "0–3", "Russia", "19–25", "20–25", "21–25", "", "", "60–75", "P2 P3... | 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: [["Year", "Winner", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Win $"], ["1989", "Highest Glory", "Jose A. Santos", "D. Wayne Lukas", "H. Joseph Allen", "1", "1:37.20", "$70,440"], ["1978", "Late Bloomer", "Jorge Velasquez", "John M. Gaver, Jr.", "Greentree Stable", "1-1/16", "1:41.6... | 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:... | 1-1/8 | Answer: | 128 |
Table InputTable: [["Season", "Footballer", "Club", "Position", "Nationality"], ["2012-13", "Itumeleng Khune", "Kaizer Chiefs", "GK", "South Africa"], ["2007-08", "Itumeleng Khune", "Kaizer Chiefs", "GK", "South Africa"], ["2002-03", "Moeneeb Josephs", "Ajax Cape Town", "GK", "South Africa"], ["1999-00", "Siyabonga Nom... | 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:... | Moeneeb Josephs | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Record", "TV Time", "Attendance"], ["13", "December 9, 2001", "San Francisco 49ers", "W 27–14", "10–2", "FOX 12:00pm", "66,218"], ["7", "October 28, 2001", "New Orleans Saints", "L 34–31", "6–1", "FOX 12:00pm", "66,189"], ["2", "September 23, 2001", "at San Fra... | 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: [["Fence", "Name", "Jockey", "Age", "Handicap (st-lb)", "Starting price", "Fate"], ["06", "Nedsmar", "John Hudson", "11", "10-13", "100/1", "Fell"], ["18", "Leedsy", "George Robinson", "7", "10-13", "18/1", "Fell"], ["26", "Rondetto", "Jeff King", "9", "11-6", "100/8", "Fell"], ["22", "Kapeno", "David... | 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 | Answer: | 128 |
Table InputTable: [["Title", "Year", "Authors", "Publisher", "Pages"], ["Global Turf Wars: Re-Inventing the Telecoms Operator for the Age of Global Competition", "1999", "Tim Hills, David Cleevely, Andrea Smith", "Analysis Publications", "218"], ["Regulating the Telecoms Market: Competition and Innovation in the Broadb... | 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:... | 183 pages | Answer: | 128 |
Table InputTable: [["Date", "Date", "", "Rank", "Tournament name", "Venue", "City", "Winner", "Runner-up", "Score"], ["11–15", "12–01", "ENG", "WR", "UK Championship", "Guild Hall", "Preston", "Stephen Hendry", "John Higgins", "10–9"], ["05–??", "05–??", "WAL", "", "Pontins Professional", "Pontins", "Prestatyn", "Marti... | 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:... | Alan McManus | Answer: | 128 |
Table InputTable: [["ZOOM", "Cast Member 1", "Cast Member 2", "Cast Member 3", "Cast Member 4", "Cast Member 5", "Cast Member 6", "Cast Member 7"], ["Season 2 (2000)", "Raymond \"Ray\" MacMore", "Caroline Botelho", "Claudio Schwartz", "Alisa Besher", "Jessica \"Jessie\" Ogungbadero", "Kenneth \"Kenny\" Yates", "Zoe Cos... | 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:... | Keiko Yoshida | Answer: | 128 |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Tomislav Kostadinov", "0", "0", "1", "1"], ["Christian Tiboni", "0", "0", "1", "1"], ["Pavel Vidanov", "0", "0", "1", "1"], ["Kostadin Stoyanov", "1", "0", "0", "1"], ["Michel Platini", "10", "0", "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:... | Spas Delev | 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", "11.", "14 April 2013", "Grand Prix Hassan II, Casablanca, Morocco", "Clay", "Kevin Anderson", "7–6(8–6... | 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:... | 12 | Answer: | 128 |
Table InputTable: [["District\\nbalance\\n[clarification needed]", "Area\\nkm2", "Area\\nsq mi", "Pop.\\n1998", "Pop.\\n2008", "Pop./km²\\n2008"], ["Sandy Bay", "15.3", "5.9", "254", "205", "13.4"], ["Longwood", "33.4", "12.9", "960", "715", "21.4"], ["Half Tree Hollow", "1.6", "0.6", "1,140", "901", "563.1"]] | 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:... | 18.8 | Answer: | 128 |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["2.", "Cesc Fàbregas", "Arsenal", "29+5(variables)", "2011"], ["1.", "Neymar", "Santos FC", "86.0", "2013"], ["7.", "Adriano", "Sevilla", "13.5", "2010"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["3.", "Alexis Sánch... | 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:... | 86.0 | Answer: | 128 |
Table InputTable: [["Year", "Record", "Finish", "Manager", "Playoffs"], ["1967", "60-87", "12th", "Wayne Terwilliger", ""], ["1987", "65-75", "9th", "Bob Bailey", ""], ["1974", "67-77", "6th", "Roy Hartsfield", ""], ["1961", "68-86", "6th", "Tommy Heath / Bill Werle", "none"], ["1978", "56-82", "8th", "Dick Phillips", ... | 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 | Answer: | 128 |
Table InputTable: [["Poll Source", "Sample Size", "Margin of Error", "Date", "Democrat", "%", "Republican", "%"], ["Rasmussen Reports", "500", "", "Feb 18, 2008", "Hillary Clinton", "37", "John McCain", "47"], ["Survey USA", "563", "4.2", "Feb 15-17, 2008", "Hillary Clinton", "41", "John McCain", "52"], ["Rasmussen 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:... | Survey USA | Answer: | 128 |
Table InputTable: [["Name", "Type", "Builder", "Works number", "Date", "Notes"], ["Leonidas", "0-4-0ST", "Hawthorn Leslie", "3159", "1916", "To G. Simm (Machinery) Ltd. 11/4/1949 thence to T.Hall & Co.(Llansamlet) Ltd, dealer, 1949. To Norton Hill Colliery, Somerset 1951, scrapped circa 1955"], ["Lucifer", "0-4-0ST", "... | 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:... | Hawthorn Leslie | Answer: | 128 |
Table InputTable: [["Year", "Result", "Award", "Film"], ["2008", "Nominated", "Outstanding Lead Actor - Comedy Series", "Two and a Half Men"], ["2010", "Nominated", "SAG Award Outstanding Performance by a Male Actor in a Comedy Series", "Two and a Half Men"], ["2006", "Nominated", "Emmy Award for Outstanding Lead Actor... | 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:... | 12 | Answer: | 128 |
Table InputTable: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["1", "KR", "18", "11", "4", "3", "27", "14", "+13", "37", "UEFA Champions League"], ["4", "ÍBV", "18", "8", "5", "5", "29", "17", "+12", "29", "Inter-Toto Cup"], ["3", "Grindavík", "... | 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: [["#", "Player", "Goals", "Caps", "Career"], ["9T", "Earnie Stewart", "17", "101", "1990–2004"], ["1", "Landon Donovan", "57", "155", "2000–present"], ["8", "Eddie Johnson", "19", "62", "2004–present"], ["2", "Clint Dempsey", "36", "103", "2004–present"], ["4", "Brian McBride", "30", "95", "1993–2006"... | 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 | Answer: | 128 |
Table InputTable: [["Name", "Route number(s)", "Length (mi)", "Location", "Notes"], ["Wilbur Cross Highway", "*", "8.0", "Sturbridge", "I-84 in Massachusetts is designated the Wilbur Cross Highway. It runs 8 miles (13 km) from the Connecticut state border to the Mass Pike at Exit 9."], ["Pilgrims Highway", "", "42.5", ... | 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:... | Massachusetts Turnpike | Answer: | 128 |
Table InputTable: [["Polling Firm", "Source", "Date Published", "N.Anastasiades", "G.Lillikas", "S.Malas", "Others"], ["Noverna", "[11]", "2 December 2012", "35.6%", "17.2%", "18.1%", "4.1%"], ["Evresis", "[14]", "22 December 2012", "37.4%", "19.8%", "21.8%", "0.5%"], ["Noverna", "[3]", "23 September 2012", "35.02%", "... | 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 February 2013 | Answer: | 128 |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2009", "November 1", "Philadelphia Eagles", "40-17", "New York Giants", "Lincoln Financial Field"], ["2008", "November 9", "New York Giants", "36-31", "Philadelphia Eagles", "Lincoln Financial Field"], ["2007", "January 7", "Philadelphia Ea... | 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:... | Giants Stadium | Answer: | 128 |
Table InputTable: [["Chart Year", "Artist", "Album", "Song", "Billboard Hot 100", "Billboard Hot R&B/Hip Hop", ""], ["2009", "Mary J. Blige", "Stronger with Each Tear", "The One ft. Drake", "63", "32", ""], ["2009", "Musiq Soulchild", "OnMyRadio", "IfULeave ft. Mary J. Blige", "71", "6", ""], ["2008", "Usher", "Here 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:... | Rihanna | Answer: | 128 |
Table InputTable: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS R&B", "Peak chart positions\\nUS Rap", "Album"], ["\"Gotta Believe It\"\\n(featuring Just Blaze)", "2009", "—", "—", "—", "Warning Shots 2"], ["\"Pain In My Life\"\\n(featuring Trey Songz)", "2006", "—", "—", "—", "N/A"], ["\"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:... | 4 | Answer: | 128 |
Table InputTable: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["29", "192*", "Viv Richards (1/2)", "West Indies", "NR", "2", "India", "11 December 1974", "Won"], ["46", "109*", "Viv Richards (2/2)", "West Indies", "111", "4", "India", "25 November 1987", "Won"], ["31", "120... | 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 November 1987 | Answer: | 128 |
Table InputTable: [["Series", "Name", "Age", "Hometown", "Occupation", "Status"], ["BB11", "Dave (David) Vaughan", "39", "Torfaen", "Minister", "2nd - Runner-up"], ["BB1", "Anna Nolan", "29", "Dublin", "Office Manager", "2nd - Runner-up"], ["BB8", "Lesley Brain", "60", "Gloucestershire", "Retired", "21st - Walked"], ["... | 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:... | Craig Phillips, Tom McDermott | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["1997", "World Indoor Championships", "Paris, France", "5th", "60 m hurdles"], ["1997", "USA Outdoor Championships", "Indianapolis, United States", "1st", "100 m hurdles"], ["2004", "Olympic Games", "Athens, Greece", "3rd", "100 m hurdles"], ["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:... | 7 | Answer: | 128 |
Table InputTable: [["Place", "Code", "Area (km2)", "Population", "Most spoken language"], ["Dendron", "91103", "2.98", "1,885", "Northern Sotho"], ["Sekgosese", "91108", "349.99", "46,749", "Northern Sotho"], ["Sekhokho", "91109", "1.24", "1,852", "Northern Sotho"], ["Ga-Ramokgopha", "91104", "11.22", "15,806", "Northe... | 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:... | 44864 | Answer: | 128 |
Table InputTable: [["Team", "No", "Driver", "Class", "Rounds"], ["Fortec Motorsport", "24", "Jack Harvey", "", "All"], ["Fortec Motorsport", "25", "George Katsinis", "", "All"], ["Fortec Motorsport", "26", "Christof von Grünigen", "", "All"], ["Mücke Motorsport", "8", "Timmy Hansen", "", "All"], ["Mücke Motorsport", "7... | 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:... | Mücke Motorsport | Answer: | 128 |
Table InputTable: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Deaths other countries", "", "", "", "", "", "", "2,000"], ["Deaths Outside of Prisons & Camps", "", "42,000", "71,000", "142,000", "218,000", "", "473,000"], ["Deaths In Prisons & Camps", "69,000", "... | 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:... | 352,000 | Answer: | 128 |
Table InputTable: [["Title", "Year", "Authors", "Publisher", "Pages"], ["The Far Reaching Effects of Broadband", "2002", "David Cleevely", "Institution of Engineering & Technology", "415"], ["Regulating the Telecoms Market: Competition and Innovation in the Broadband Economy", "2003", "Tim Hills, David Cleevely, Ross 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:... | 415 pages | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "China", "63", "46", "32", "141"], ["8", "Germany", "19", "28", "31", "78"], ["10", "Japan", "17", "16", "20", "53"], ["6", "Ukraine", "24", "12", "19", "55"], ["5", "Australia", "26", "38", "36", "100"], ["4", "United States", "27", "22"... | 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 | Answer: | 128 |
Table InputTable: [["Team", "City", "Years active", "Seasons played", "Win–loss record", "Win%", "Playoffs appearances"], ["Indianapolis Jets", "Indianapolis, Indiana", "1948–1949", "1", "18–42", ".300", "0"], ["Detroit Falcons", "Detroit, Michigan", "1946–1947", "1", "20–40", ".333", "0"], ["Baltimore Bullets*", "Balt... | 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: [["Year", "Film", "Rotten Tomatoes", "Metacritic", "IMDb"], ["2000", "Dancer in the Dark", "68%", "61%", "8.0/10"], ["1998", "The Idiots", "70%", "47%", "6.9/10"], ["2003", "Dogville", "70%", "59%", "8.0/10"], ["2006", "The Boss of It All", "74%", "71%", "6.7/10"], ["2003", "The Five Obstructions", "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:... | 2 | Answer: | 128 |
Table InputTable: [["Date", "Rnd", "Race Name", "Circuit", "City/Location", "Pole position", "Winning driver", "Winning team", "Report"], ["7", "July 8", "Budweiser Grand Prix of Cleveland", "Cleveland Burke Lakefront Airport", "Cleveland, Ohio", "Rick Mears", "Danny Sullivan", "Team Penske", "Report"], ["15", "October... | 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:... | Team Penske | Answer: | 128 |
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"], ["11", "10", "\"Tatia\"", "David Friedkin", "Robert Lewin", "November 17, 1965", "... | 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: [["Name", "City", "State/Country", "Designed", "Completed", "Other Information"], ["Cranbrook School for Boys furnishings", "Bloomfield Hills", "Michigan", "1925", "1931", "With Eliel Saarinen"], ["Brandeis University plan and buildings", "Waltham", "Massachusetts", "1949", "1952", "With Matthew Nowic... | 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", "Competition", "Venue", "Position", "Event", "Notes"], ["2007", "All-Africa Games", "Algiers, Algeria", "3rd", "Discus throw", "57.79 m"], ["2003", "All-Africa Games", "Abuja, Nigeria", "5th", "Shot put", "17.76 m"], ["2003", "All-Africa Games", "Abuja, Nigeria", "2nd", "Discus throw", "62.8... | 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:... | All-Africa Games | Answer: | 128 |
Table InputTable: [["Leg", "Stage", "Time", "Name", "Length", "Winner", "Time", "Avg. spd.", "Rally leader"], ["1\\n(16 Feb)", "SS4", "12:30", "Grue", "14.36 km", "S. Loeb", "7:31.8", "114.42 km/h", "M. Hirvonen"], ["1\\n(16 Feb)", "SS6", "14:36", "Kongsvinger", "14.60 km", "S. Loeb", "9:44.5", "89.92 km/h", "M. Hirvon... | 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: [["Name", "City", "State/Country", "Designed", "Completed", "Other Information"], ["Christ Church Lutheran", "Minneapolis", "Minnesota", "1947", "1949", "With Eliel Saarinen; solo addition in 1962. Designated a National Historic Landmark in 2009."], ["United States Chancellery Building", "Oslo", "Norw... | 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:... | Cross | Answer: | 128 |
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"], ["3", "May 27", "74th Indianapoli... | 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 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "China (CHN)", "127", "63", "33", "223"], ["3", "South Korea (KOR)", "32", "48", "65", "145"], ["8", "Mongolia (MGL)", "1", "1", "6", "8"], ["7", "Hong Kong (HKG)", "2", "2", "9", "13"], ["4", "Chinese Taipei (TPE)", "12", "34", "26", "72... | 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 (JPN), South Korea (KOR) | Answer: | 128 |
Table InputTable: [["Year", "Single", "Peak chart\\npositions\\nUS Country", "Peak chart\\npositions\\nCAN Country", "Album"], ["1983", "\"Hold Me\"", "67", "—", "singles only"], ["1983", "\"You've Still Got Me\"", "71", "—", "singles only"], ["1979", "\"Darlin'\"", "18", "36", "singles only"], ["1976", "\"Mahogany Bri... | 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 | Answer: | 128 |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["1999", "Sabrina, Down Under", "Gwen", ""], ["1998", "Sabrina Goes to Rome", "Gwen", ""], ["2010", "Big Time Rush", "Miss Collins", "Recurring Role"], ["2014", "Arrow", "Deranged Squad Female (voice)", "Episode: \"Suicide Squad\""], ["1992", "The Judge", "Millie 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:... | 2 | Answer: | 128 |
Table InputTable: [["Year", "Network", "NASCAR\\nCountdown", "Lap-by-lap", "Color commentator(s)", "Pit reporters", "Ratings", "Viewers"], ["2011", "ESPN", "Nicole Briscoe\\nRusty Wallace\\nBrad Daugherty", "Allen Bestwick", "Dale Jarrett\\nAndy Petree", "Dave Burns\\nJamie Little\\nJerry Punch\\nVince Welch", "4.0 (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:... | 3 | Answer: | 128 |
Table InputTable: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["1", "Dr Abdus Salam", "1961", "1967", "Imperial College", "Theoretical Physics", "Doctor of Philosophy (Ph.D)"], ["8", "Major General Raza Hussain", "2001", "2010", "Pakistan Army Corps of Electric... | 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: [["Polling Firm", "Source", "Date Published", "N.Anastasiades", "G.Lillikas", "S.Malas", "Others"], ["Prime Consulting Ltd", "[19]", "4 February 2013", "39.8%", "19.3%", "20%", "3%"], ["Prime Consulting Ltd", "[4]", "7 October 2012", "34.7%", "17.4%", "18.5%", ""], ["Prime Consulting Ltd", "[20]", "9 ... | 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:... | RAI Consultants Ltd | Answer: | 128 |
Table InputTable: [["#", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["1.", "27 March 1999", "Mestalla, Valencia, Spain", "Austria", "3–0", "9–0", "Euro 2000 qualifying"], ["4.", "8 September 1999", "Vivero, Badajoz, Spain", "Cyprus", "1–0", "8–0", "Euro 2000 qualifying"], ["2.", "27 March 1999", "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:... | Mestalla, Valencia, Spain | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2", "Greece", "6", "7", "6", "19"], ["1", "France", "11", "5", "3", "19"], ["8", "Tunisia", "0", "1", "0", "1"], ["5", "Morocco", "1", "1", "0", "2"], ["3", "Yugoslavia", "3", "2", "1", "6"], ["4", "Spain", "1", "5", "5", "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:... | 19 | Answer: | 128 |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-A-1", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-2", "2006..", "[[]]", "[[]]", "-"], ["GL-A-2", "2006..", "[[]]", "[[]]", "-"], ["GL-A-3", "2006..", "[[]]", "[[]]", "-"], ["GL-A-6", "2006..", "[[]]", "[[]]", "-"], ["GL-A-4", "2006..", "[[]]", "... | 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: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["10", "Thailand (THA)", "1", "1", "2", "4"], ["11", "Kyrgyzstan (KGZ)", "1", "1", "0", "2"], ["8", "Sri Lanka (SRI)", "2", "0", "2", "4"], ["9", "Qatar (QAT)", "1", "4", "3", "8"], ["12", "Kuwait (KUW)", "1", "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:... | 11 | Answer: | 128 |
Table InputTable: [["Year", "Network", "Race caller", "Color commentator", "Reporters", "Trophy Presentation"], ["1953", "CBS", "Bryan Field", "Mel Allen", "Phil Sutterfield", "Phil Sutterfield"], ["1959", "CBS", "Fred Capossela", "Bryan Field and Chris Schenkel", "", "Chris Schenkel"], ["1954", "CBS", "Bryan Field", "... | 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:... | Bryan Field | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "North Korea", "1", "0", "1", "2"], ["6", "South Korea", "0", "0", "2", "2"], ["2", "Japan", "7", "10", "7", "24"], ["4", "Kazakhstan", "2", "2", "0", "4"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["1", "China", "13", "9", "13", "35"]] | 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: [["Pick #", "NFL Team", "Player", "Position", "College"], ["3", "Baltimore Colts", "Alan Ameche", "Fullback", "Wisconsin"], ["2", "Chicago Cardinals", "Max Boydston", "End", "Oklahoma"], ["9", "Philadelphia Eagles", "Dick Bielski", "Fullback", "Maryland"], ["5", "Green Bay Packers", "Tom Bettis", "Gua... | 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:... | Dick Bielski | Answer: | 128 |
Table InputTable: [["#", "Title", "Performer(s)", "Film", "Length"], ["8", "\"It's Not Just Make Believe\"", "Kari Kimmel", "Ella Enchanted", "3:06"], ["2", "\"That's How You Know\"", "Demi Lovato", "Enchanted", "3:12"], ["5", "\"Reflection\"", "Christina Aguilera", "Mulan", "3:33"], ["12", "\"Happy Working Song\"", "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:... | Raven-Symoné | Answer: | 128 |
Table InputTable: [["Place", "Player", "Country", "Score", "To par"], ["T7", "Tiger Woods", "United States", "70-71-72=213", "+3"], ["T2", "Jason Gore", "United States", "71-67-72=210", "E"], ["6", "David Toms", "United States", "70-72-70=212", "+2"], ["T2", "Olin Browne", "United States", "67-71-72=210", "E"], ["T7", ... | 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:... | 845 | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["23 October 2005", "Newcastle United", "St James' Park", "2–3", "52,302", "Lawrence, Elliott"], ["1 October 2005", "West Ham United", "Stadium of Light", "1–1", "31,212", "Miller"], ["23 August 2005", "Manchester City", "Stadium of Li... | 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:... | Lawrence, Elliott | Answer: | 128 |
Table InputTable: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Ivan Zourine", "1979", "2", "Jacques Stoquart", "Magic-Strip", ""], ["Shelena", "2005", "1", "Jéromine Pasteur", "Casterman", ""], ["Daddy", "1991-92", "2", "Loup Durand", "Cl. Lefrancq", ""], ["Ikar", "1995–1997", "2", "Pierre Makyo", ... | 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 year | Answer: | 128 |
Table InputTable: [["Team", "Chassis", "Engine", "Tires", "No", "Drivers"], ["Team KOOL Green", "Reynard 98i", "Honda", "Firestone", "26", "Paul Tracy"], ["Team KOOL Green", "Reynard 98i", "Honda", "Firestone", "27", "Dario Franchitti"], ["Team Rahal", "Reynard 98i", "Ford XB", "Firestone", "8", "Bryan Herta"], ["Team ... | 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:... | Davis Racing | Answer: | 128 |
Table InputTable: [["Year", "Total\\npassengers", "Passenger\\nChange", "Domestic", "International\\n(total)", "International\\n(non-CIS)", "CIS", "Aircraft\\nLandings", "Cargo\\n(tonnes)"], ["2003", "1 335 757", "+12,9%", "879 665", "456 092", "297 421", "158 671", "10 092", "18 054"], ["2012", "3 783 069", "+12.7%", ... | 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 | Answer: | 128 |
Table InputTable: [["Departure", "Going to", "Calling at", "Arrival", "Operator"], ["18.51", "Grantham", "Rauceby, Ancaster, Honington, Barkston", "19.28", "GNR"], ["08.17", "Grantham", "Rauceby, Ancaster, Barkston", "08.45", "GNR"], ["11.34", "Grantham", "Rauceby, Ancaster, Barkston, Honington", "12.05", "GNR"], ["09.... | 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:... | GNR | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["11", "27", "Bryan Herta", "PK Racing", "86", "+ 1 Lap", "12", "2"], ["16", "11", "Geoff Boss", "Dale Coyne Racing", "83", "Mechanical", "19", "0"], ["1", "32", "Patrick Carpentier", "Team Player's", "87", "1:48:11.023", "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:... | Fernández Racing | Answer: | 128 |
Table InputTable: [["Language", "2001 census[1]\\n(total population 1,004.59 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", ""], ["Bengali", "230,000,000", "200,595,738", "28.30%", "320 M"], ["Urdu", "51,536,111", "43,40... | 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:... | Hindi | Answer: | 128 |
Table InputTable: [["Round", "Round", "Race", "Date", "Pole Position", "Fastest Lap", "Winning Club", "Winning Team", "Report"], ["4", "R2", "Estoril", "October 19", "", "Borussia Dortmund", "Al Ain", "Azerti Motorsport", "Report"], ["2", "R2", "Nürburgring", "September 21", "", "SC Corinthians", "PSV Eindhoven", "Azer... | 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:... | August 31 | Answer: | 128 |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["9", "Russia", "$1.2 billion", "2012", "–"], ["8", "Germany", "$1.3 billion", "2012", "–"], ["12", "Brazil", "$0.72 billion", "2013", "17% (2013)"], ["2", "China", "$3.6 billion", "2013", "59% (2013)"], ["3", "Japan", "$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 | Answer: | 128 |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2013", "27th Golden Disk Awards", "Best New Artist", "Herself", "Won"], ["2012", "So-Loved Awards", "Best Female Newcomer", "Herself", "Won"], ["2012", "Soompi Gayo Awards", "Top 50 Songs (#3)", "\"Heaven\"", "Won"], ["2012", "Asia Song Festival... | 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:... | 2014 | Answer: | 128 |
Table InputTable: [["Award", "Category", "Nominee", "Result"], ["Golden Globe Awards, 1972", "Best Director", "William Friedkin", "Won"], ["Academy Awards, 1972", "Best Director", "William Friedkin", "Won"], ["Academy Awards, 1972", "Best Sound", "Theodore Soderberg\\nChristopher Newman", "Nominated"], ["BAFTA, 1972", ... | 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:... | William Friedkin | Answer: | 128 |
Table InputTable: [["Year", "Film", "Rotten Tomatoes", "Metacritic", "IMDb"], ["2000", "Dancer in the Dark", "68%", "61%", "8.0/10"], ["1998", "The Idiots", "70%", "47%", "6.9/10"], ["2006", "The Boss of It All", "74%", "71%", "6.7/10"], ["1984", "The Element of Crime", "77%", "N/A", "6.9/10"], ["1996", "Breaking the 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:... | The Five Obstructions, Nymphomaniac: Volume I | Answer: | 128 |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["October 22", "Ole Miss", "#8", "Bryant–Denny Stadium • Tuscaloosa, AL (Rivalry)", "ABC", "W 21–10", "70,123"], ["October 8", "Southern Miss*", "#11", "Bryant–Denny Stadium • Tuscaloosa, AL", "", "W 14–6", "70,123"], ["December 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:... | 3 | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1935/36", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1952/53", "N/A", "ASL", "6th", "No playoff", "Semifinals"], ["1953/54", "N/A", "ASL", "1st", "Champion (no playoff)", "Champion"], ["1954/55", "N/A", "ASL", "8t... | 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: [["Pick #", "NFL Team", "Player", "Position", "College"], ["1", "Baltimore Colts (Lottery bonus pick)", "George Shaw", "Quarterback", "Oregon"], ["5", "Green Bay Packers", "Tom Bettis", "Guard", "Purdue"], ["3", "Baltimore Colts", "Alan Ameche", "Fullback", "Wisconsin"], ["12", "Detroit Lions", "Dave ... | 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:... | Halfback | Answer: | 128 |
Table InputTable: [["County", "Brown", "Votes", "Nixon", "Votes", "Wyckoff", "Votes"], ["Santa Barbara", "47.50%", "30,424", "51.24%", "32,821", "1.26%", "807"], ["Sonoma", "49.19%", "29,373", "49.65%", "29,647", "1.17%", "696"], ["Siskiyou", "59.98%", "7,718", "38.41%", "4,942", "1.62%", "208"], ["Sutter", "41.19%", "... | 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:... | 36 | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["24 December 1960", "Manchester United", "H", "1-2", "37,601", "Brabrook"], ["26 December 1960", "Manchester United", "A", "0-6", "50,213", ""], ["10 December 1960", "Cardiff City", "A", "1-2", "21,840", "Greaves"], ["19 September 196... | 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:... | 21,840 | Answer: | 128 |
Table InputTable: [["Divisions", "Prize (EUR)", "Odds of winning (1 in)", "Number of winning tickets", "In order to win"], ["Sub", "180.00", "2,000", "2", "Nearest number to 1st prize"], ["Sub", "180.00", "2,000", "2", "Nearest number to 3rd prize"], ["Sub", "180.00", "2,000", "2", "Nearest number to 2nd prize"], ["All... | 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:... | 2,000 | Answer: | 128 |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2009", "16 Jan 2009", "Wengen, Switzerland", "Super Combined", "", "", "", ""], ["2009", "13 Dec 2008", "Val d'Isère, France", "Giant slalom", "", "", "", ""], ["2010", "4 Dec 2009", "Beaver Creek, USA", "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:... | Giant slalom | Answer: | 128 |
Table InputTable: [["No. in\\nseason", "No. in\\nseries", "Title", "Canadian airdate", "US airdate", "Production code"], ["22", "339", "\"Basket Case\"", "March 4, 2014", "March 4, 2014", "1322"], ["19", "336", "\"Dig Me Out\"", "February 11, 2014", "February 11, 2014", "1319"], ["30", "347", "\"Sparks Will Fly\" Part ... | 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:... | "Dig Me Out" | Answer: | 128 |
Table InputTable: [["Player", "No.", "Nationality", "Position", "Years for Jazz", "School/Club Team"], ["Terry Furlow", "25", "United States", "Guard/Forward", "1979-80", "Michigan State"], ["Todd Fuller", "52", "United States", "Center", "1998-99", "North Carolina State"], ["Jim Farmer", "30", "United States", "Guard"... | 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: [["Year", "Film", "Role", "Language", "Notes"], ["2014", "Endendigu", "", "", "Filming"], ["2012", "18th Cross", "Punya", "Kannada", ""], ["2013", "Bahaddoor", "Anjali", "Kannada", "Filming"], ["2013", "Dilwala", "Preethi", "Kannada", ""], ["2012", "Alemari", "Neeli", "Kannada", ""], ["2012", "Drama",... | 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 | Answer: | 128 |
Table InputTable: [["#", "Office", "Current Officer"], ["", "Governor of New Mexico", "Susana Martinez"], ["1", "Lieutenant Governor of New Mexico", "John Sanchez"], ["2", "Secretary of State of New Mexico", "Dianna Duran"], ["4", "Attorney General of New Mexico", "Gary King"], ["6", "State Treasurer", "James B. Lewis"... | 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:... | Susana Martinez | Answer: | 128 |
Table InputTable: [["School", "Season", "Record", "Conference Record", "Place", "Postseason"], ["Illinois", "1919–20", "9–4", "8–4", "3rd", ""], ["Illinois", "1913–14", "9–4", "7–3", "3rd", ""], ["Illinois", "1917–18", "9–6", "6–6", "T4th", ""], ["Illinois", "1914–15", "16–0", "12–0", "T1st", "National Champions"]] | 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: [["Publication", "Country", "Accolade", "Year", "Rank"], ["VPRO", "Netherlands", "299 Nominations of the Best Album of All Time", "2006", "*"], ["The Times", "United Kingdom", "The 100 Best Albums of All Time", "1993", "58"], ["NME", "United Kingdom", "All Times Top 100 Albums + Top 50 by Decade", "19... | 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 | Answer: | 128 |
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