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: [["Place", "Player", "Country", "Score", "To par"], ["1", "Retief Goosen", "South Africa", "68-70-69=207", "–3"], ["T7", "K. J. Choi", "South Korea", "69-70-74=213", "+3"], ["T7", "Peter Hedblom", "Sweden", "77-66-70=213", "+3"], ["T7", "Lee Westwood", "England", "68-72-73=213", "+3"], ["T4", "Mark He... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Organization", "Award", "Work", "Result"], ["2007", "16th Hashida Awards", "Newcomer Award", "Hana Yori Dango 2", "Won"], ["2007", "54th The Television Academy Drama Awards", "Best Actress", "First Kiss", "Nominated"], ["2008", "Nickelodeon Kids' Choice Awards", "Best Actress", "Hana Yori 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:... | Best Actress | 128 | Answer: |
Table InputTable: [["Position", "Sail Number", "Yacht", "State/Country", "Yacht Type", "LOA\\n(Metres)", "Skipper", "Elapsed Time\\nd:hh:mm:ss"], ["4", "AUS70", "Ragamuffin", "NSW", "Farr 50", "15.15", "Syd Fischer", "3:06:11:29"], ["3", "YC1000", "Ausmaid", "SA", "Farr 47", "14.24", "Kevan Pearce", "3:06:02:29"], ["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:... | Hick 35 | 128 | Answer: |
Table InputTable: [["Locomotive", "Name", "Serial No", "Entered Service", "Livery"], ["9006", "Murray Rose", "1378/918266-6", "May 94", "FreightCorp"], ["9017", "Andrew Cooper/Nicholas Green/\\nMichael McKay/James Tomkins", "1389/918266-17", "Jun 94", "FreightCorp"], ["9012", "Neil Brooks/Peter Evans/\\nMark Kerry/Mark... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dunc Gray | 128 | Answer: |
Table InputTable: [["decimal32", "decimal64", "decimal128", "decimal(32k)", "Format"], ["32", "64", "128", "32×k", "Total size (bits)"], ["5", "5", "5", "5", "Combination field (bits)"], ["7", "16", "34", "p = 3×t/10+1 = 9×k−2", "Coefficient size (decimal digits)"], ["6", "8", "12", "w = 2×k + 4", "Exponent continuatio... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 64 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time", "Notes", "Points"], ["4", "Mario Scapini", "Italy", "1:47.20", "PB", "9"], ["8", "Robin Schembera", "Germany", "1:47.79", "", "5"], ["11", "António Rodrigues", "Portugal", "1:50.45", "", "2"], ["12", "Milan Kocourek", "Czech Republic", "1:59.28", "", "1"], ["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:... | Adam Kszczot | 128 | Answer: |
Table InputTable: [["Route", "Name", "Fare Type", "Terminals", "Terminals", "Major streets", "Notes", "History"], ["34", "Naylor Rd Line", "Local", "Archives (10th St & Pennsylvania Av NW)", "Naylor Road station", "Pennsylvania Avenue SE\\nIndependence Avenue SE/SW\\nNaylor Road SE", "", "34 operated to Friendship Heig... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Series", "Team", "Races", "Wins", "Poles", "F/Laps", "Podiums", "Points", "Position"], ["2012", "Masters of Formula 3", "Angola Racing Team", "1", "0", "0", "0", "0", "—", "18th"], ["2012", "Formula 3 Euro Series", "Angola Racing Team", "21", "0", "0", "0", "0", "14", "14th"], ["2012", "B... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Asian Formula Renault Challenge | 128 | Answer: |
Table InputTable: [["Pick #", "NFL Team", "Player", "Position", "College"], ["8", "New York Giants", "Joe Heap", "Halfback", "Notre Dame"], ["1", "Baltimore Colts (Lottery bonus pick)", "George Shaw", "Quarterback", "Oregon"], ["6", "Pittsburgh Steelers", "Frank Varrichione", "Tackle", "Notre Dame"], ["13", "Cleveland ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Notre Dame | 128 | Answer: |
Table InputTable: [["Year", "Model", "Denomination", "Metal composition", "Dimensions"], ["1992", "Re-establishment of kroon, 28 August 1992", "100 krooni", ".900 silver", "23 grams (0.81 oz)36 millimetres (1.4 in)"], ["1998", "80th anniversary of declaration of Independence, 1918–1998", "100 krooni", ".925 silver", "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:... | 1998 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["9", "Germany", "1", "0", "1", "2"], ["2", "Austria", "4", "3", "4", "11"], ["8", "Italy", "1", "2", "0", "3"], ["7", "Norway", "2", "1", "1", "4"], ["4", "Switzerland", "3", "2", "1", "6"], ["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:... | Canada | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "4.", "18 June 2011", "Aegon International, United Kingdom", "Grass", "Andreas Seppi", "6–7(5–7), 6–3, 3–5 ret."], ["Runner-up", "3.", "27 February 2011", "International Tennis Championships, United States", "Hard... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Round", "Pick", "Name", "Position", "College"], ["3", "69", "Dez White", "WR", "Georgia Tech"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["3", "87", "Dustin Lyman", "TE", "Wake Forest"], ["4", "125", "Reggie Austin", "DB", "Wake Forest"], ["2", "39", "Mike Brown", "S", "Nebraska"], ["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:... | 1 | 128 | Answer: |
Table InputTable: [["No. in\\nseason", "No. in\\nseries", "Title", "Canadian airdate", "US airdate", "Production code"], ["6", "323", "\"Cannonball\"", "August 8, 2013", "August 8, 2013", "1306"], ["39", "356", "\"Thunderstruck\" Part One", "July 29, 2014", "July 29, 2014", "1339"], ["1–2", "318–319", "\"Summertime\"",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Summertime | 128 | Answer: |
Table InputTable: [["Band", "Disc/Song", "Released", "Disc Description", "Disk Size", "Image"], ["Guns N' Roses", "Paradise City", "1989", "Shape of a Colt \"Peacemaker\"", "7\"", ""], ["The Enemy", "You're not alone", "2007", "Square shaped. Has the single cover art on the A-side and a black and white picture of the b... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | 128 | Answer: |
Table InputTable: [["Network name", "Flagship", "Programming type", "Owner", "Affiliates"], ["TV 10 Chiapas", "XHTTG", "educational", "Gobierno del Estado de Chiapas", "7"], ["Canal de las Estrellas", "XEW 2", "soap operas, retro movies and sports", "Televisa", "10"], ["Azteca 13", "XHDF 13", "news, soap operas, and sp... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["4", "Adam Małysz", "POL", "127.0", "130.5", "261.5"], ["1", "Matti Hautamäki", "FIN", "132.0", "131.5", "274.3"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["5", "Andreas Kofler", "AUT", "126.5", "132.0", "261.3"], ["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:... | Jakub Janda | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["Ret", "18", "Thierry Boutsen", "Arrows-BMW", "50", "Engine", "22", ""], ["Ret", "17", "Christian Danner", "Arrows-BMW", "52", "Engine", "24", ""], ["Ret", "20", "Gerhard Berger", "Benetton-BMW", "40", "Engine", "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:... | 2 | 128 | Answer: |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["Mark Slavin", "Wrestling", "Greco-Roman — Middleweight <82 kg", "—", "(taken hostage before his scheduled event)"], ["Yair Michaeli", "Sailing", "Flying Dutchman", "23", "28-22-22-19-25-19-DNS = 171 pts\\n(left Kiel before 7th race)"], ["Itzhak ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mark Slavin | 128 | Answer: |
Table InputTable: [["#", "Directed By", "Written By", "Original Air Date"], ["10", "John Reardon", "Simon J. Sharkey", "November 30, 1997"], ["9", "Douglas Mackinnon", "Neil McKay", "November 23, 1997"], ["12", "Ken Horn", "David Humphries", "January 11, 1998"], ["14", "Ken Horn", "Neil McKay", "January 25, 1998"], ["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:... | Simon J. Sharkey | 128 | Answer: |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["27 Nov 1920", "Swindon Town", "A", "0–5", "", "7,000"], ["21 Oct 1920", "Swindon Town", "H", "0–1", "", "10,000"], ["9 Sep 1920", "Bristol Rovers", "H", "0–2", "", "8,000"], ["1 Sep 1920", "Bristol Rovers", "A", "2–3", "Walker, Wols... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Watford | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Club", "Nationality", "Points"], ["15", "Mario Corso", "Internazionale", "Italy", "3"], ["15", "Lev Yashin", "Dynamo Moscow", "Soviet Union", "3"], ["17", "Mário Coluna", "Benfica", "Portugal", "2"], ["17", "Franz Beckenbauer", "Bayern Munich", "West Germany", "2"], ["25", "Sigfried... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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)"], ["9 December 2003", "£1.00", "£2.00", "£5.00", "£5.00", "£10.00"], ["23 July 2004", "£1.00", "£2.00", "£5.00", "£5.00", "£6.00"], ["1 March 2012", "£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:... | 6 years | 128 | Answer: |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["3", "Japan", "$1.88 billion", "2013", "61% (2013)"], ["6", "South Korea", "$1.47 billion", "2013", "59.7% (2013)"], ["12", "Brazil", "$0.72 billion", "2013", "17% (2013)"], ["2", "China", "$3.6 billion", "2013", "59% (20... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | China | 128 | Answer: |
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"], ["2", "September 23, 2001", "at San Francisco 49ers", "W 30–26", "2–0", "FOX 3:15pm", "67,536"], ["16", "December 30, 2001", "India... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | September 23, 2001 | 128 | Answer: |
Table InputTable: [["Golfer", "Country", "Wins", "Match Play", "Championship", "Invitational", "Champions"], ["Ian Poulter", "England", "2", "1: 2010", "—", "—", "1: 2012"], ["Geoff Ogilvy", "Australia", "3", "2: 2006, 2009", "1: 2008", "—", "—"], ["Darren Clarke", "Northern Ireland", "2", "1: 2000", "—", "1: 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:... | Australia, United States | 128 | Answer: |
Table InputTable: [["Season", "Team", "Record", "Head Coach", "Quarterback", "Leading Rusher", "Leading Receiver", "All-Pros", "Runner Up"], ["1971", "Dallas Cowboys†", "11–3", "Tom Landry*", "Roger Staubach*", "Duane Thomas", "Bob Hayes*", "Lilly*, Niland, Wright*", "San Francisco 49ers"], ["1970", "Dallas Cowboys", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Pair", "Country", "Athletes", "Time", "Deficit"], ["4", "1", "Canada", "Denny Morrison\\nMathieu Giroux\\nLucas Makowsky", "3:44.38", "+2.95"], ["", "4", "United States", "Shani Davis\\nBrian Hansen\\nJonathan Kuck", "3:43.42", "+1.99"], ["", "2", "Russia", "Ivan Skobrev\\nDenis Yuskov\\nYe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Norway | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time"], ["8", "Edith Arraspide", "Argentina", "5:13.95"], ["7", "Carolyn Adel", "Suriname", "5:13.24"], ["", "Jenny Kurth", "United States", "4:57.24"], ["", "Joanne Malar", "Canada", "4:43.64"], ["", "Alison Fealey", "United States", "4:48.31"], ["6", "Isabel Rojas",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 0:30.31 | 128 | Answer: |
Table InputTable: [["District", "Incumbent", "Party", "First\\nelected", "Result", "Candidates"], ["Maryland 6", "Roscoe Bartlett", "Republican", "1992", "Re-elected", "Roscoe Bartlett (R) 66.11%\\nDonald DeArmon (D) 33.80%"], ["Maryland 3", "Ben Cardin", "Democratic", "1986", "Re-elected", "Ben Cardin (D) 65.72%\\nSco... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Elijah Cummings | 128 | Answer: |
Table InputTable: [["Chart Year", "Artist", "Album", "Song", "Billboard Hot 100", "Billboard Hot R&B/Hip Hop", ""], ["2009", "Justin Bieber", "My World", "Bigger", "94", "", ""], ["2009", "Justin Bieber", "My World", "Love Me", "37", "", ""], ["2009", "Justin Bieber", "My World", "Favorite Girl", "26", "", ""], ["2010"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Name", "Nation", "Position", "League Apps", "League Goals", "FA Cup Apps", "FA Cup Goals", "Total Apps", "Total Goals"], ["Vic Metcalfe", "England", "MF", "41", "11", "1", "0", "42", "11"], ["Eddie Boot", "England", "DF", "38", "0", "1", "0", "39", "0"], ["Arnold Rodgers", "England", "FW", "4", "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:... | 10 | 128 | Answer: |
Table InputTable: [["Team", "Chassis", "Engine", "Tires", "No", "Drivers"], ["Newman-Haas Racing", "Swift 009.c", "Ford XB", "Goodyear", "11", "Christian Fittipaldi\\n Roberto Moreno"], ["Arciero-Wells Racing", "Reynard 98i", "Toyota", "Firestone", "24", "Hiro Matsushita\\n Robby Gordon"], ["Chip Ganassi Racing", "Reyn... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alex Zanardi | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Sean Morley", "2", "May 30, 1996", "Caguas, Puerto Rico", "Joins the WWF in 1997, but is still recognized as champion; title becomes vacant on March 3, 1999."], ["Glamour Boy Shane", "1", "April 2, 1999", "Guaynabo, Puerto Rico", "Defeated \"Ju... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ron Starr | 128 | Answer: |
Table InputTable: [["Year", "Song", "Album", "Position", "Chart"], ["1993", "\"Endlessly\"", "The Way I Am", "--", "Billboard Hot 100"], ["1989", "\"Sunshine\"", "24/7", "23", "Billboard Hot 100"], ["1990", "\"Romeo\"", "Swingin'", "6", "Billboard Hot 100"], ["1991", "\"Gentle\"", "Swingin'", "31", "Billboard Hot 100"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Airport", "Passengers handled", "Change\\n2011/12"], ["1", "London Heathrow", "828,531", "0%"], ["2", "London Gatwick", "607,417", "7%"], ["6", "Bristol", "239,666", "8%"], ["4", "London Luton", "276,488", "0%"], ["9", "London City", "158,239", "6%"], ["3", "London Stansted", "331,607", "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:... | 588,865 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["6", "October 9, 1988", "Los Angeles Rams", "L 33–0", "30,852"], ["11", "November 13, 1988", "San Diego Chargers", "L 10–7", "26,329"], ["5", "October 2, 1988", "Seattle Seahawks", "L 31–20", "28,619"], ["1", "September 4, 1988", "at Detroit Lion... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | New Orleans Saints | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["1994–1999", "Sister, Sister", "Tamera Campbell", "119 episodes"], ["2014", "Melissa and Joey", "Gillian", "Season 3 Episode 24 'To Tell the Truth'"], ["2004–2006", "Strong Medicine", "Dr. Kayla Thorton", "37 episodes"], ["1998", "Blues Clues", "Herself", "1 episo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 82 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Rol", "Format", "Related Links"], ["2006", "La Vida Inmune", "Malhora", "Feature Film", "https://www.youtube.com/watch?v=PQt4RU3usnw"], ["2005", "Quinceañera", "", "Feature Film", ""], ["2009", "Infinito", "", "Short Film", ""], ["2001", "Perros Patinadores", "", "Short Film", ""],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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"], ["Punjabi", "130,000,000", "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:... | Oriya | 128 | Answer: |
Table InputTable: [["Model", "1991", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"], ["Škoda Fabia", "−", "−", "−", "−", "−", "823", "128,872", "250,978", "264,641", "260,988", "247,600", "236,698", "243,982", "232,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | less | 128 | Answer: |
Table InputTable: [["Year", "Name", "Year", "Name", "Year", "Name"], ["1911-12", "Mr B.Owen- Jones", "1943-44", "Mr P.Venter", "1975-76", "Mr Sakkie Blanche"], ["1927-28", "Mr J.Stanbury", "1959-60", "Mr A.P.Scribante", "1992-93", "Mr Gerrie Wolmarans"], ["1924-25", "Mr E.Murton", "1956-57", "Mr P.H.Tredoux", "1989-90"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mr B. Owen- Jones | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Score", "Result", "Location"], ["March 6, 1964", "Michigan State", "9–4", "Win", "East Lansing, MI"], ["March 7, 1964", "Michigan State", "13–4", "Win", "Coliseum, Ann Arbor, MI"], ["March 12, 1964", "Michigan Tech", "4–3", "Win", "Coliseum, Ann Arbor, MI"], ["March 13, 1964", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Marquinhos", "9", "1", "3", "13"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Michel Platini", "10", "0", "0", "10"], ["Tomislav Kostadinov", "0", "0", "1", "1"], ["Giuseppe Aquaro", "3", "0", "2", "5"], ["Pavel Vidanov", "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:... | 13 | 128 | Answer: |
Table InputTable: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["1998", "153", "14", "", ""], ["1999", "152", "16", "13.6", ""], ["1995", "139", "", "", ""], ["1996", "130", "", "", ""], ["1997", "141", "", "", ""], ["1994", "154", "", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["District", "Incumbent", "Party", "First\\nelected", "Result", "Candidates"], ["Maryland 1", "Wayne Gilchrest", "Republican", "1990", "Re-elected", "Wayne Gilchrest (R) 76.67%\\nAnn Tamlyn (D) 23.16%"], ["Maryland 4", "Albert Wynn", "Democratic", "1992", "Re-elected", "Albert Wynn (D) 78.57%\\nJohn ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Steny Hoyer | 128 | Answer: |
Table InputTable: [["Name", "City", "State/Country", "Designed", "Completed", "Other Information"], ["Ezra Stiles & Morse College", "New Haven", "Connecticut", "1958", "1962", ""], ["David S. Ingalls Rink", "New Haven", "Connecticut", "1956", "1958", ""], ["Saarinen House", "New Haven", "Connecticut", "1960", "1961", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | New York | 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"], ["2", "IA0508", "Mario Batali", "Tony Liu", "Pan-European", "Opah",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["name", "glyph", "C string", "Unicode", "Unicode name"], ["tilde", "~", "~", "U+007E", "TILDE"], ["tab", "", "\\\\t", "U+0009", "CHARACTER TABULATION (HT)"], ["s", "s", "s", "U+0073", "LATIN SMALL LETTER S"], ["x", "x", "x", "U+0078", "LATIN SMALL LETTER X"], ["q", "q", "q", "U+0071", "LATIN SMALL L... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["May 20-21\\n118", "March 9\\n120", "December 25-26\\n122", "October 13-14\\n124", "August 1-2\\n126"], ["May 20, 2012", "March 9, 2016", "December 26, 2019", "October 14, 2023", "August 2, 2027"], ["May 21, 2031", "March 9, 2035", "December 26, 2038", "October 14, 2042", "August 2, 2046"], ["May 20... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | May 20, 2069 | 128 | Answer: |
Table InputTable: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["8", "Gaston Rahier", "Belgium", "ČZ", "1112", "0"], ["20", "Peter Lamppu", "United States", "Montesa", "309", "0"], ["9", "Pierre Karsmakers", "Netherlands", "Husqvarna", "1110", "0"], ["5", "Joel Robert", "Belgium", "Suzuki", "1730", "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:... | 1112 | 128 | Answer: |
Table InputTable: [["Year", "Song", "Album", "Position", "Chart"], ["1989", "\"Sunshine\"", "24/7", "23", "Billboard Hot 100"], ["1993", "\"Endlessly\"", "The Way I Am", "--", "Billboard Hot 100"], ["1989", "\"I Like It\"", "24/7", "7", "Billboard Hot 100"], ["1993", "\"Ooh Child\"", "The Way I Am", "27", "Billboard Ho... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Club", "Competition", "Games", "Goals"], ["2002/03", "RAEC Mons", "Jupiler League", "19", "0"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["2008/09", "Excelsior Mouscron", "Jupiler League", "31", "1"], ["2006/07", "KSV Roeselare", "Jupiler League", "29", "1"], ["2003/04",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2002/03 | 128 | Answer: |
Table InputTable: [["Chart Year", "Artist", "Album", "Song", "Billboard Hot 100", "Billboard Hot R&B/Hip Hop", ""], ["2014", "August Alsina", "Forthcoming Album", "Benidiction f/ Rick Ross", "New Single", "", ""], ["2014", "Rick Ross f/Jay Z", "Mastermind", "War Ready", "New Single", "", ""], ["2014", "Rick Ross f/Jay ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["2", "Mark Udall", "Open", "Jared Polis", "Scott Starin"], ["5", "Doug Lamborn", "Re-election", "Hal Bidlack", "Doug Lamborn"], ["4", "Marilyn Musgrave", "Re... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Tier", "Division", "Place"], ["1997/98", "4", "3ª", "1st"], ["1992/93", "3", "2ªB", "4th"], ["1998/99", "4", "3ª", "6th"], ["1988/89", "4", "3ª", "3rd"], ["1996/97", "4", "3ª", "2nd"], ["1989/90", "4", "3ª", "1st"], ["1991/92", "3", "2ªB", "12th"], ["1994/95", "3", "2ªB", "9th"], ["1993/9... | 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:... | 3 | 128 | Answer: |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2010", "12 Mar 2010", "Garmisch, Germany", "Giant Slalom", "", "", "", ""], ["2009", "13 Dec 2008", "Val d'Isère, France", "Giant slalom", "", "", "", ""], ["2010", "6 Dec 2009", "Beaver Creek, USA", "Giant... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 26 | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Country", "Athletes", "Time", "Deficit"], ["", "3", "Netherlands", "Sven Kramer\\nKoen Verweij\\nJan Blokhuijsen", "3:41.43", ""], ["7", "4", "South Korea", "Lee Seung-hoon\\nJoo Hyong-jun\\nKo Byung-wook", "3:47.18", "+5.75"], ["", "2", "Russia", "Ivan Skobrev\\nDenis Yuskov\\nYevg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Netherlands | 128 | Answer: |
Table InputTable: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["9", "Lord High Admiral", "HRH The Duke of Edinburgh", "", ""], ["6", "Lord Great Chamberlain", "The Marquess of Cholmondeley", "Lord High Treasurer", "Lord Chamberlain"], ["2", "Lord High Chancellor", "The Rt Hon Chris... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Earl Marshal | 128 | Answer: |
Table InputTable: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["27", "Stade Sébastien Charléty", "20,000", "Paris", "Île-de-France", "Paris FC", "1938"], ["10", "Stadium Municipal", "35,575", "Toulouse", "Midi-Pyrénées", "Toulouse FC", "1937"], ["22", "Stade Michel d'Ornano", "21,500", "Caen... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Stade Sébastien Charléty | 128 | Answer: |
Table InputTable: [["#", "Player", "Goals", "Caps", "Career"], ["1", "Landon Donovan", "57", "155", "2000–present"], ["2", "Clint Dempsey", "36", "103", "2004–present"], ["8", "Eddie Johnson", "19", "62", "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:... | Landon Donovan | 128 | Answer: |
Table InputTable: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["182.4 km/h (113 mph)", "1972-10-11", "Germany", "BR 18 201", "Loc", "Steam", "Unkn.", "The fastest operational steam locomotive as of 2011.[citation needed]"], ["185.07 km/h (115 mph)", "1905-06-11", "USA", "Pennsylvania R... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 202.6 km/h (126 mph) | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["8", "26", "Philippe Alliot", "Ligier-Renault", "79", "+ 3 Laps", "8", ""], ["7", "25", "René Arnoux", "Ligier-Renault", "79", "+ 3 Laps", "5", ""], ["Ret", "7", "Riccardo Patrese", "Brabham-BMW", "63", "Electrical", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 142 | 128 | Answer: |
Table InputTable: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Azua", "Alicia Fernández de la Cruz", "23", "1.69", "Santo Domingo"], ["Santo Domingo", "Yisney Lina Lagrange Méndez", "19", "1.82", "Pedro Brand"], ["Santiago", "Karina Luisa Betances Cabrera", "21", "1.80", "Santiago de los Caballeros"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Season", "Footballer", "Club", "Position", "Nationality"], ["2003-04", "Tinashe Nengomasha", "Kaizer Chiefs", "MF", "Zimbabwe"], ["2000-01", "Benjani Mwaruwari", "Jomo Cosmos", "FW", "Zimbabwe"], ["2002-03", "Moeneeb Josephs", "Ajax Cape Town", "GK", "South Africa"], ["2006-07", "Godfrey Sapula", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tinashe Nengomasha | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["10", "November 8, 1981", "Oakland Raiders", "W 17–16", "45,519"], ["6", "October 11, 1981", "Seattle Seahawks", "W 35–17", "42,671"], ["12", "November 22, 1981", "New Orleans Saints", "L 27–24", "49,581"], ["14", "December 3, 1981", "Cleveland B... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Title", "Singer(s)", "Lyricist", "Length"], ["7", "\"Ramaiya Vastavaiya\"", "Mohammed Rafi, Lata Mangeshkar, Mukesh", "Shailendra", "6:10"], ["6", "\"Pyar Hua Iqrar Hua\"", "Lata Mangeshkar, Manna Dey", "Shailendra", "4:22"], ["3", "\"Mera Juta Hai Japani\"", "Mukesh", "Shailendra", "4:33"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Week", "Date", "Opponent", "Result", "Attendance"], ["10", "November 6, 1988", "Green Bay Packers", "W 20–0", "29,952"], ["2", "September 11, 1988", "New Orleans Saints", "L 29–21", "48,901"], ["5", "October 2, 1988", "Seattle Seahawks", "L 31–20", "28,619"], ["9", "October 30, 1988", "at Philadelp... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Team", "No", "Driver", "Class", "Rounds"], ["Mücke Motorsport", "7", "Maciej Bernacik", "R", "All"], ["Mücke Motorsport", "8", "Timmy Hansen", "", "All"], ["Josef Kaufmann Racing", "5", "Hannes van Asseldonk", "R", "All"], ["Fortec Motorsport", "26", "Christof von Grünigen", "", "All"], ["Fortec Mo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Timmy Hansen | 128 | Answer: |
Table InputTable: [["Pick #", "NFL Team", "Player", "Position", "College"], ["5", "Green Bay Packers", "Tom Bettis", "Guard", "Purdue"], ["1", "Baltimore Colts (Lottery bonus pick)", "George Shaw", "Quarterback", "Oregon"], ["12", "Detroit Lions", "Dave Middleton", "Halfback", "Auburn"], ["13", "Cleveland Browns", "Kur... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Frank Varrichione | 128 | Answer: |
Table InputTable: [["Period", "Live births per year", "Deaths per year", "Natural change per year", "CBR*", "CDR*", "NC*", "TFR*", "IMR*"], ["1970-1975", "263 000", "121 000", "142 000", "55.8", "25.6", "30.2", "7.52", "162"], ["1950-1955", "139 000", "66 000", "74 000", "52.6", "24.8", "27.8", "6.86", "174"], ["1965-1... | 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:... | 1965-1970 | 128 | Answer: |
Table InputTable: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["3", "Air Commodore K. M. Ahmad", "1979", "1980", "Pakistan Air Force Academy", "Flight Instructor", "Certificated Flight Instructor (CFI)"], ["1", "Dr Abdus Salam", "1961", "1967", "Imperial Colleg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["8", "Major General Raza Hussain", "2001", "2010", "Pakistan Army Corps of Electrical and Mechanical Engineers", "Electrical Engineering", "B.S."], ["9", "Major General Ahmed Bilal", "2010", "Presen... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["24 October 1992", "Aston Villa", "H", "1–1", "13,457", "Olney"], ["21 November 1992", "Manchester United", "A", "0–3", "33,497", ""], ["29 August 1992", "Manchester City", "A", "3–3", "27,288", "Jobson, Milligan, Halle"], ["9 March 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:... | 21 | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Name", "Nationality", "Time", "Notes"], ["2", "4", "David Smetanine", "France", "38.97", "Q"], ["6", "2", "Ronystony Cordeiro da Silva", "Brazil", "44.22", ""], ["3", "3", "Kyunghyun Kim", "South Korea", "40.37", "Q"], ["7", "8", "Grant Patterson", "Australia", "55.49", ""], ["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 | 128 | Answer: |
Table InputTable: [["Season", "Episodes", "Season Premiere", "Season Finale"], ["3", "44", "October 15, 2007", "June 2, 2008"], ["4", "48", "October 13, 2008", "May 11, 2009"], ["2", "52", "October 7, 2006", "July 16, 2007"], ["7", "8", "October 29, 2013", "December 17, 2013"], ["5", "40", "October 12, 2009", "June 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:... | Season 2 | 128 | Answer: |
Table InputTable: [["#", "Title", "Performer(s)", "Film", "Length"], ["14", "\"A Dream Is a Wish Your Heart Makes\"", "Disney Channel Stars", "Cinderella", "3:46"], ["9", "\"Under the Sea\"", "Raven-Symoné", "The Little Mermaid", "3:15"], ["7", "\"Kiss the Girl\"", "Colbie Caillat", "The Little Mermaid", "3:16"], ["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:... | 8 | 128 | Answer: |
Table InputTable: [["Round", "Round", "Race", "Date", "Pole Position", "Fastest Lap", "Winning Club", "Winning Team", "Report"], ["2", "R2", "Nürburgring", "September 21", "", "SC Corinthians", "PSV Eindhoven", "Azerti Motorsport", "Report"], ["4", "R2", "Estoril", "October 19", "", "Borussia Dortmund", "Al Ain", "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:... | 6 | 128 | Answer: |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2006", "September 17", "New York Giants", "30-24 (OT)", "Philadelphia Eagles", "Lincoln Financial Field"], ["2005", "December 11", "New York Giants", "26-23 (OT)", "Philadelphia Eagles", "Lincoln Financial Field"], ["2009", "January 11", "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:... | 2 | 128 | Answer: |
Table InputTable: [["School Name", "Low grade", "High grade", "Students (K-12)", "FTE Teachers", "Student/teacher ratio"], ["Grace Christian School", "PK", "12", "117", "13", "9"], ["Christ Lutheran School", "K", "8", "12", "2", "6"], ["Valley Lutheran High School", "9", "12", "344", "21", "16.38"], ["Bethany Lutheran ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Grace Christian School | 128 | Answer: |
Table InputTable: [["Preceded by\\nAlfred Scott", "Member of Parliament for Ashton-under-Lyne\\n1910–1916", "Succeeded by\\nAlbert Stanley"], ["Preceded by\\nSir Frederick Cawley", "Chancellor of the Duchy of Lancaster\\n1918", "Succeeded by\\nThe Lord Downham"], ["Preceded by\\nViscount Cranborne", "Lord Privy Seal\\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:... | Alfred Scott | 128 | Answer: |
Table InputTable: [["Year", "Winner", "Age", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Purse", "Gr"], ["1989", "Mercedes Won", "3", "Earlie Fires", "Arnold Fink", "Christopher Spencer", "1-1/8", "1:49.60", "$500,000", "I"], ["1990", "Unbridled", "3", "Pat Day", "Carl Nafzger", "Genter Stable", "1-1/8... | 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:... | none | 128 | Answer: |
Table InputTable: [["No", "Driver", "Entrant", "Constructor", "Chassis", "Engine"], ["22", "Mario Tadini", "Scuderia Ferrari", "Alfa Romeo", "Alfa Romeo 6C 1750GS", "1.8 L6"], ["8", "Pietro Nicolotti", "Private entry", "Alfa Romeo", "Alfa Romeo 6C 1500", "1.5 L6"], ["28", "Tazio Nuvolari", "SA Alfa Romeo", "Alfa Romeo"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1990", "European Championships", "Split, FR Yugoslavia", "4th", "Marathon", "2:17:45"], ["1987", "World Championships", "Rome, Italy", "13th", "Marathon", "2:17:45"], ["1993", "World Championships", "Stuttgart, Germany", "—", "Marathon... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Netherlands (NED)", "4", "3", "2", "9"], ["3", "West Germany (FRG)", "2", "0", "0", "2"], ["5", "Soviet Union (URS)", "0", "1", "2", "3"], ["4", "Norway (NOR)", "0", "2", "2", "4"], ["6", "Sweden (SWE)", "0", "1", "1", "2"], ["2", "Unite... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | less | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["155", "Rob Sangster", "Left Wing", "Canada", "Vancouver Canucks", "Kitchener Rangers (OHL)"], ["164", "Rick Allain", "Defense", "Canada", "Boston Bruins", "Kitchener Rangers (OHL)"], ["160", "Greg Spenrath", "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:... | Rick Allain | 128 | Answer: |
Table InputTable: [["#", "Directed By", "Written By", "Original Air Date"], ["14", "Ken Horn", "Neil McKay", "January 25, 1998"], ["12", "Ken Horn", "David Humphries", "January 11, 1998"], ["16", "Douglas MacKinnon", "Neil McKay", "February 8, 1998"], ["15", "Frank W. Smith", "Dave Humphries", "February 1, 1998"], ["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:... | 10 | 128 | Answer: |
Table InputTable: [["Title", "Album details", "Peak positions\\nJPN", "Sales"], ["The Remixes", "Released: September 17, 1997\\nLabel: Avex Trax\\nFormats: CD", "2", "640,000"], ["The Remixes II", "Released: November 18, 1998\\nLabel: Avex Trax\\nFormats: CD", "5", "300,000"], ["The Remixes III: Mix Rice Plantation", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Remixes | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air Date", "Timeslot", "Rating", "Share", "18-49", "Viewers", "Weekly Rank"], ["7", "\"A Family Affair\"", "June 18, 2008", "9:00 P.M.", "1.5", "3", "0.8/2 (#5)", "2.00 (#5)", "TBA"], ["8", "\"Farmer Picks a Wife\"", "June 25, 2008", "9:00 P.M.", "1.6", "3", "1.0/3 (#5)", "2.45 (#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:... | "Goodbye City...Hello Country" | 128 | Answer: |
Table InputTable: [["Date", "Date", "", "Rank", "Tournament name", "Venue", "City", "Winner", "Runner-up", "Score"], ["02–13", "02–22", "SCO", "WR", "International Open", "A.E.C.C.", "Aberdeen", "Stephen Hendry", "Tony Drago", "9–1"], ["02–02", "02–09", "ENG", "", "Masters", "Wembley Conference Centre", "London", "Stev... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Stephen Hendry | 128 | Answer: |
Table InputTable: [["Location", "Reactor type", "Status", "Net\\nCapacity\\n(MWe)", "Gross\\nCapacity\\n(MWe)"], ["Chernobyl-1", "RBMK-1000", "shut down in 1996", "740", "800"], ["Chernobyl-2", "RBMK-1000", "shut down in 1991", "925", "1,000"], ["Chernobyl-3", "RBMK-1000", "shut down in 2000", "925", "1,000"], ["Cherno... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Title", "Role", "Notes"], ["1995", "Skin Deep", "Tina", ""], ["2010", "Big Time Rush", "Miss Collins", "Recurring Role"], ["1999", "Black Mask", "Additional Voices", ""], ["2014", "Arrow", "Deranged Squad Female (voice)", "Episode: \"Suicide Squad\""], ["1989", "Mosquito Lake", "Tara Harris... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Event", "Record", "Athlete", "Date", "Meet", "Place"], ["110 m hurdles", "13.81 (+0.8 m/s)", "Roberto Carmona", "22 July 1988", "Ibero-American Championships", "Mexico City, Mexico"], ["4x400 m relay", "3:03.19", "Mexico\\nAlejandro Cárdenas\\nOscar Juanz\\nRoberto Carvajal\\nJuan Pedro Toledo", "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:... | Andrés Espinosa | 128 | Answer: |
Table InputTable: [["Stage", "Date", "Route", "Terrain", "Length", "Winner", "Race leader"], ["5", "4 July", "Vannes – Les Sables d'Olonne", "Plain stage", "202 km (126 mi)", "Charles Pélissier (FRA)", "Charles Pélissier (FRA)\\n Rafaele di Paco (ITA)"], ["2", "1 July", "Caen – Dinan", "Plain stage", "212 km (132 mi)",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 24 | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air date", "Rating", "Share", "18-49 (Rating/Share)", "Viewers (m)", "Rank (night)", "Rank (timeslot)", "Rank (overall)"], ["13", "\"Never Tell\"", "May 13, 2008", "5.8", "10", "2.1/6", "8.46", "", "#2", ""], ["12", "\"And the Truth Will (Sometimes) Set You Free\"", "May 6, 2008", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | May | 128 | Answer: |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["3", "James Phillip", "55", "Honda Prelude Chevrolet", "James Phillip", "26", "28", "28", "30", "112"], ["1", "John Briggs", "9", "Honda Prelude Chevrolet", "John Briggs", "42", "42", "42", "42", "168"], ["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:... | Honda Prelude Chevrolet | 128 | Answer: |
Table InputTable: [["Year", "Film", "Role", "Language", "Notes"], ["2010", "Gaana Bajaana", "Radhey", "Kannada", ""], ["2014", "Endendigu", "", "", "Filming"], ["2010", "Krishnan Love Story", "Geetha", "Kannada", "Filmfare Award for Best Actress - Kannada\\nUdaya Award for Best Actress"], ["2012", "18th Cross", "Punya"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Festival", "Location", "Awards", "Link"], ["Sep 28", "Fantastic Fest", "Austin, Texas\\n USA", "", "FantasticFest.com"], ["Oct 9, Oct 11", "Sitges Film Festival", "Sitges, Catalonia\\n Spain", "", "Sitges Festival"], ["Feb 2–5, Feb 11", "Santa Barbara International Film Festival", "Santa Ba... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["isn", "name", "arrival\\ndate", "departure\\ndate", "notes"], ["209", "Almasm Rabilavich Sharipov", "2002-01-21", "2004-02-27", "Repatriated to Russia on January 3, 2004.[citation needed]\\nReported to have been repatriated on 24 February 2004 with six other Russian men.\\nGranted asylum by the Net... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Class", "Moto", "Races", "Win", "Podiums", "Pole", "Pts", "Position"], ["2009", "125cc", "Aprilia", "16", "1", "4", "0", "179.5", "3rd"], ["Total", "", "", "147", "16", "39", "9", "1213.5", ""], ["2008", "125cc", "Aprilia", "17", "1", "5", "0", "176", "5th"], ["2005", "125cc", "Derbi", "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:... | 2009 | 128 | Answer: |
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