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: [["Year", "Kit Manufacturer", "Shirt Sponsor", "Back of Shirt Sponsor", "Short Sponsor"], ["1991–1993", "Technik", "Gulf Oil", "", ""], ["2009–2011", "Errea", "Mira Showers", "PSU Technology Group", ""], ["2004–2008", "Errea", "Bence Building Merchants", "", ""], ["1996–1997", "UK", "Endsleigh Insuran... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Title", "Performer(s)", "Film", "Length"], ["7", "\"Kiss the Girl\"", "Colbie Caillat", "The Little Mermaid", "3:16"], ["9", "\"Under the Sea\"", "Raven-Symoné", "The Little Mermaid", "3:15"], ["6", "\"So This Is Love\"", "The Cheetah Girls", "Cinderella", "3:40"], ["13", "\"Part of Your World... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Part of Your World" | 128 | Answer: |
Table InputTable: [["No.", "Date/time", "Aircraft", "Foe", "Result", "Location", "Notes"], ["8", "28 July 1917 @ 1735 hours", "Sopwith Triplane s/n N5462", "German two-seater aircraft", "Driven down out of control", "Middelkerke, Belgium", "Victory shared with Francis Mellersh"], ["1", "4 December 1916 @ 1100 hours", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 May 1917 @ 1950 hours | 128 | Answer: |
Table InputTable: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["185.07 km/h (115 mph)", "1905-06-11", "USA", "Pennsylvania Railroad E2 #7002", "Loc", "Steam", "Unmod.", "Claimed.[by whom?] Clocked at Crestline, Ohio at 127.1 mph (205 km/h) in 1905. However PRR Steam Locomotives did not... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Milwaukee Road class A #2 | 128 | Answer: |
Table InputTable: [["Year", "Matches", "Winner", "Results", "Pakistan\\nCaptain", "Pakistan\\nCoach", "India\\nCaptain", "India\\nCoach"], ["1981", "4", "Pakistan win", "2 - 1", "Akhtar Rasool", "Zakauddin", "Surjeet Singh", "Harmeek Singh"], ["2004", "8", "Pakistan win", "4 - 2", "Waseem Ahmad", "Roelant Oltmans", "Di... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["No.", "Date/time", "Aircraft", "Foe", "Result", "Location", "Notes"], ["6", "23 May 1917 @ 1800 hours", "Sopwith Triplane s/n N5460", "Albatros D.III", "Driven down out of control", "Douai, France", ""], ["5", "11 May 1917 @ 1950 hours", "Sopwith Triplane s/n N5460", "Albatros D.III", "Set afire in... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Middelkerke, Belgium | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2", "Greece", "6", "7", "6", "19"], ["3", "Yugoslavia", "3", "2", "1", "6"], ["1", "France", "11", "5", "3", "19"], ["5", "Morocco", "1", "1", "0", "2"], ["5", "Turkey", "1", "1", "0", "2"], ["7", "Egypt", "0", "1", "7", "8"], ["4", "Spain", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yugoslavia, France | 128 | Answer: |
Table InputTable: [["Name", "Character", "Unicode code point (decimal)", "Standard", "DTD", "Old ISO subset", "Description"], ["ntilde", "ñ", "U+00F1 (241)", "HTML 2.0", "HTMLlat1", "ISOlat1", "Latin small letter n with tilde"], ["Ntilde", "Ñ", "U+00D1 (209)", "HTML 2.0", "HTMLlat1", "ISOlat1", "Latin capital letter 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:... | U+2666 (9830) | 128 | Answer: |
Table InputTable: [["Year", "Record", "Finish", "Manager", "Playoffs"], ["1984", "87-53", "1st", "Tommy Sandt", "Lost League Finals"], ["1975", "88-56", "1st", "Roy Hartsfield", "League Champs"], ["1976", "77-68", "2nd", "Roy Hartsfield", "League Champs"], ["1980", "76-65", "5th", "Doug Rader", "Lost League Finals"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Roy Hartsfield | 128 | Answer: |
Table InputTable: [["Year", "Film", "Role", "Notes"], ["1971", "The Boy Friend", "Fay", ""], ["1972", "Eagle in a Cage", "Betty Balcombe", ""], ["1978", "Sweeney 2", "Switchboard Girl", ""], ["2005", "Mrs Palfrey at the Claremont", "Shirley Burton", ""], ["1980", "The Watcher in the Woods", "Young Mrs Aylwood", ""], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1975 | 128 | Answer: |
Table InputTable: [["Year", "Premiers", "Score", "Runners Up", "Score"], ["2006", "Manunda Hawks", "11.11 (77)", "Centrals Trinity Beach Bulldogs", "10.9 (69)"], ["2011", "Manunda Hawks", "11.8 (74)", "Port Douglas Crocs", "6.9 (45)"], ["2008", "Cairns Saints", "12.15 (87)", "North Cairns Tigers", "2.9 (21)"], ["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:... | 5 years | 128 | Answer: |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["5 Mar 1921", "Brighton & Hove Albion", "A", "0–1", "", "8,000"], ["27 Nov 1920", "Swindon Town", "A", "0–5", "", "7,000"], ["22 Jan 1921", "Norwich City", "A", "0–3", "", "5,000"], ["21 Oct 1920", "Swindon Town", "H", "0–1", "", "10... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 54,500 | 128 | Answer: |
Table InputTable: [["Year", "Single", "Chart Positions\\nUS Country", "Chart Positions\\nUS", "Album"], ["1968", "\"Odd Folks of Okracoke\"", "—", "—", "single only"], ["1965", "\"That Ain't All\"", "20", "—", "singles only"], ["1967", "\"It's My Time\"", "51", "—", "Suburban Attitudes in Country Verse"], ["1971", "\"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:... | "Lord Have Mercy" | 128 | Answer: |
Table InputTable: [["Year", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["1998", "Carl Fogarty", "3", "Ducati 916", "Ducati"], ["1995", "Carl Fogarty", "13", "Ducati 916", "Ducati"], ["1994", "Carl Fogarty", "11", "Ducati 916", "Ducati"], ["1999", "Carl Fogarty", "11", "Ducati 996", "Ducati"], ["1996"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1995 | 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"], ["4", "Norway (NOR)", "0", "2", "2", "4"], ["6", "Sweden (SWE)", "0", "1", "1", "2"], ["5", "Soviet Union (URS)", "0", "1", "2", "3"], ["", "Total"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | 128 | Answer: |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2009", "November 1", "Philadelphia Eagles", "40-17", "New York Giants", "Lincoln Financial Field"], ["2009", "December 13", "Philadelphia Eagles", "45-38", "New York Giants", "Giants Stadium"], ["2009", "January 11", "Philadelphia Eagles", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Philadelphia Eagles | 128 | Answer: |
Table InputTable: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["4", "Parc des Princes", "48,712", "Paris", "Île-de-France", "Paris Saint-Germain FC", "1897"], ["27", "Stade Sébastien Charléty", "20,000", "Paris", "Île-de-France", "Paris FC", "1938"], ["1", "Stade de France", "81,338", "Paris... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Allianz Riviera | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["9", "Qatar (QAT)", "1", "4", "3", "8"], ["8", "Sri Lanka (SRI)", "2", "0", "2", "4"], ["12", "Kuwait (KUW)", "1", "0", "0", "1"], ["5", "South Korea (KOR)", "3", "2", "1", "6"], ["6", "Japan (JPN)", "2", "13", "8", "23"], ["11", "Kyrgyzstan (... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 45 | 128 | Answer: |
Table InputTable: [["Position", "Player", "Transferred From", "Date"], ["MF", "Mohd Noor Ali", "Geylang United", "1 January 2010"], ["GK", "Fajar Sarib", "Geylang United", "1 January 2010"], ["FW", "Laakkad Abdelhadi", "Free Transfer", "1 January 2010"], ["DF", "Kazuki Yoshino", "Albirex Niigata (S)", "1 January 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:... | 12 | 128 | Answer: |
Table InputTable: [["Season", "Winning Team", "Score", "Losing Team", "Score", "Location", "Stadium"], ["2008–09", "Pittsburgh Steelers (7)", "23", "Baltimore Ravens", "14", "Pittsburgh, Pennsylvania", "Heinz Field"], ["2001–02", "New England Patriots (3)", "24", "Pittsburgh Steelers", "17", "Pittsburgh, Pennsylvania",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2001-02 | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Name", "Position", "College"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["4", "125", "Reggie Austin", "DB", "Wake Forest"], ["3", "69", "Dez White", "WR", "Georgia Tech"], ["7", "223", "James Cotton", "DE", "Ohio State"], ["6", "174", "Paul Edinger", "K", "Michigan State... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Brian Urlacher | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["2007", "4", "USL PDL", "3rd, Heartland", "Did not qualify", "1st Round"], ["2003", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did not qualify"], ["2005", "4", "USL PDL", "3rd, Heartland", "Did not qualify", "Did no... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2005 | 128 | Answer: |
Table InputTable: [["Party", "Candidate", "Votes", "%", "±%"], ["Nationals SA", "Rachel Titley", "912", "4.4", "+4.4"], ["Liberal", "Adrian Pederick", "11,469", "55.1", "−6.7"], ["Total formal votes", "Total formal votes", "20,807", "96.8", "+0.0"], ["Family First", "Daniel Gutteridge", "1,654", "7.9", "+0.8"], ["Liber... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Adrian Pederick | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["9.", "Argentina", "0", "2", "0", "2"], ["8.", "Russia", "0", "2", "3", "5"], ["7.", "Germany", "0", "5", "1", "6"], ["1.", "Brazil", "21", "9", "12", "42"], ["4.", "Australia", "1", "1", "1", "3"], ["12.", "Austria", "0", "0", "1", "1"], ["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:... | 34 | 128 | Answer: |
Table InputTable: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["27", "Stade Sébastien Charléty", "20,000", "Paris", "Île-de-France", "Paris FC", "1938"], ["21", "Stade Auguste-Delaune", "21,684", "Reims", "Champagne-Ardenne", "Stade Reims", "1935"], ["10", "Stadium Municipal", "35,575", "Tou... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Year", "Name", "Year", "Name", "Year", "Name"], ["1903-04", "Mr B. Owen- Jones", "1935-36", "Mr W.Pearce", "1967-68", "Mr J.F.Serfontein"], ["1915-16", "Mr R.Champion", "1947-48", "Mr C.Chambers", "1980-81", "Mr Meyer"], ["1927-28", "Mr J.Stanbury", "1959-60", "Mr A.P.Scribante", "1992-93", "Mr Ger... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 P.Venter | 128 | Answer: |
Table InputTable: [["Year", "Title", "Rol", "Format", "Related Links"], ["2001", "Perros Patinadores", "", "Short Film", ""], ["2009", "Infinito", "", "Short Film", ""], ["2005", "Quinceañera", "", "Feature Film", ""], ["2010", "Yo Te Estaré Cuidando", "Camilo", "Short Film", ""], ["2008", "La Carretera Es Blanca Y Lla... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Niñas mal (telenovela) | 128 | Answer: |
Table InputTable: [["Hull", "Type", "Original Name", "Original Operator", "Delivery", "Disposition (2012)", "2nd name", "2nd operator", "3rd Name", "3rd operator"], ["№ 10", "929-117", "Suisei", "Sado Kisen", "Apr 1991", "Active", "", "", "", ""], ["№ 4", "929-117", "Princess Dacil", "Trasmediterranea", "Mar 1990", "Ac... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["Quarterfinals-2", "2006..", "[[]]", "[[]]", "-"], ["Quarterfinals-1", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-2", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-1", "2006..", "[[]]", "[[]]", "-"], ["GL-A-1", "2006..", "[[]]", "[[]]", "-"], ["GL-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:... | 10 | 128 | Answer: |
Table InputTable: [["Round", "Round", "Race", "Date", "Pole Position", "Fastest Lap", "Winning Club", "Winning Team", "Report"], ["4", "R1", "Estoril", "October 19", "A.S. Roma", "Atlético Madrid", "Liverpool F.C.", "Hitech Junior Team", "Report"], ["5", "R2", "Vallelunga", "November 2", "", "Atlético Madrid", "F.C. Po... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Representative", "Title", "Presentation\\nof Credentials", "Termination\\nof Mission", "Appointed by"], ["Earl Norfleet Phillips", "Ambassador Extraordinary and Plenipotentiary", "March 26, 2002", "June 1, 2003", "George W. Bush"], ["Sally Shelton-Colby", "Ambassador Extraordinary and Plenipotentia... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Aircraft", "Origin", "Type", "In service", "Notes"], ["Cessna 404 Titan", "USA", "Light transport", "0", "1 in service with the Air Wing from 1991 to 2008"], ["Cessna 421C Golden Eagle", "USA", "Light transport", "0", "1 in service with the Air Wing from 1988 to 2002"], ["Cessna 208 Caravan", "USA"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Piper PA-31 Navajo | 128 | Answer: |
Table InputTable: [["Opus", "Title", "Subdivisions", "Compo-sition", "Première date", "Place, theatre"], ["4", "Bruder Lustig", "3 acts", "1904", "13 October 1905", "Hamburg, Stadttheater"], ["3", "Der Kobold", "3 acts", "1903", "29 January 1904", "Hamburg, Stadttheater"], ["5", "Sternengebot", "prologue and 3 acts", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1905 | 128 | Answer: |
Table InputTable: [["Tie no", "Home team", "Score", "Away team", "Date", "Attendance"], ["1", "Rochdale", "2 – 0", "Coventry City", "25 January 2003", ""], ["14", "Crystal Palace", "0 – 0", "Liverpool", "26 January 2003", "26,054"], ["Replay", "Sunderland", "2 – 2", "Blackburn Rovers", "5 February 2003", "15,745"], ["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:... | Coventry City | 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)", ""], ["Urdu", "51,536,111", "43,406,932", "5.18%", "60.3 M"], ["", "Speakers", "Speakers", "Perc... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Place", "Code", "Area (km2)", "Population", "Most spoken language"], ["Moletji", "91107", "11.66", "4,989", "Northern Sotho"], ["Dendron", "91103", "2.98", "1,885", "Northern Sotho"], ["Bochum", "91102", "11.64", "4,142", "Northern Sotho"], ["Remainder of the municipality", "91106", "2,944.04", "10... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Backer | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "African Championships", "Bambous, Mauritius", "4th", "400 m hurdles", "50.96"], ["2007", "All-Africa Games", "Algiers, Algeria", "8th", "4x400 m relay", "DNF"], ["2007", "All-Africa Games", "Algiers, Algeria", "2nd", "400 m hur... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["158", "Andre Cote", "Right Wing", "Canada", "Quebec Nordiques", "Quebec Remparts (QMJHL)"], ["157", "Petri Skriko", "Right Wing", "Finland", "Vancouver Canucks", "Saipa (Finland)"], ["154", "Mitch Lamoureux", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Competition", "Venue", "Position", "Notes"], ["2012", "European Championships", "Helsinki, Finland", "2nd", "73.34 m"], ["2002", "European Championships", "Munich, Germany", "26th", "60.28 m"], ["2006", "European Championships", "Gothenburg, Sweden", "26th", "62.39 m"], ["2001", "European J... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["154", "Mitch Lamoureux", "Centre", "Canada", "Pittsburgh Penguins", "Oshawa Generals (OMJHL)"], ["162", "Dale DeGray", "Defence", "Canada", "Calgary Flames", "Oshawa Generals (OMJHL)"], ["155", "Mike Sturgeon",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Round", "Pick", "Name", "Position", "College"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["4", "125", "Reggie Austin", "DB", "Wake Forest"], ["6", "174", "Paul Edinger", "K", "Michigan State"], ["3", "87", "Dustin Lyman", "TE", "Wake Forest"], ["7", "223", "James Cotton", "DE", "Ohio Sta... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Number", "Name", "Type", "Livery", "Status", "Notes"], ["6", "Roger H. Bennett", "Yorkshire Engine Company \"Janus\" 0-6-0", "NCB Blue", "Operational", "~"], ["33102", "Sophie (Unofficial)", "Class 33", "Blue", "Operational", "built in 1960. Launched Sep 2012 - restoration still being completed alt... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | NCB Blue | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "France", "14", "7", "7", "28"], ["7", "Algeria", "2", "0", "2", "4"], ["8", "Croatia", "0", "3", "3", "6"], ["9", "Egypt", "0", "1", "2", "3"], ["4", "Spain", "4", "14", "6", "24"], ["3", "Slovenia", "5", "4", "3", "12"], ["5", "Greece",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | France | 128 | Answer: |
Table InputTable: [["Date", "Time", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["December 1", "7:00 PM", "vs. #14 Nebraska", "", "Lucas Oil Stadium • Indianapolis, IN (Big Ten Championship Game)", "FOX", "W 70–31", "41,260"], ["September 29", "7:00 PM", "at #20 Nebraska", "#23", "Memorial Stadium • 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:... | 14 | 128 | Answer: |
Table InputTable: [["Date", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["August 15", "Anderlecht", "Champions League", "Qual. Round 3", "Leg 1, Away", "Fenerbahçe", "Şükrü Saracoğlu Stadium, Istanbul", "0-1"], ["August 16", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 1, Away", "Käe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Anderlecht, Bayern Munich | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["3 March 2006", "Manchester City", "City of Manchester Stadium", "1–2", "42,200", "Kyle"], ["23 August 2005", "Manchester City", "Stadium of Light", "1–2", "33,357", "Le Tallec"], ["17 September 2005", "West Bromwich Albion", "Stadium... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 April 2006 | 128 | Answer: |
Table InputTable: [["#", "Title", "Featured guest(s)", "Producer(s)", "Time", "Sample (s)"], ["7", "\"Just Clownin'\"", "", "Battlecat", "3:59", "*\"(Not Just) Knee Deep\" by Funkadelic\\n*\"Too Tight for Light\" by Funkadelic"], ["16", "\"Better Days\"", "Ron Banks", "Barr Nine", "3:53", "*\"It's Gonna Be Alright\" by... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Autobiography | 128 | Answer: |
Table InputTable: [["Year", "Film", "Role", "Language", "Notes"], ["2012", "Addhuri", "Poorna", "Kannada", "Udaya Award for Best Actress\\nNominated — SIIMA Award for Best Actress\\nNominated — Filmfare Award for Best Actress – Kannada"], ["2008", "Moggina Manasu", "Chanchala", "Kannada", "Filmfare Award for Best Actre... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["1998", "Carl Fogarty", "3", "Ducati 916", "Ducati"], ["1995", "Carl Fogarty", "13", "Ducati 916", "Ducati"], ["1994", "Carl Fogarty", "11", "Ducati 916", "Ducati"], ["1999", "Carl Fogarty", "11", "Ducati 996", "Ducati"], ["1996"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9.5 | 128 | Answer: |
Table InputTable: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Larisa Verbitskaya\\n43.the TV presenter", "Barracudas", "Pelicans", "Crocodiles", "12th Voted Out\\n7th Jury Member\\nDay 36", "11"], ["Yelena Proklova\\n49.the TV presenter", "Pelicans", "Barracudas", "Cr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Igor' Livanov | 128 | Answer: |
Table InputTable: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["Camelopardalis B", "Irr", "04h 53m 07.1s", "+67° 05′ 57″", "77", "16.1"], ["IC 342", "SAB(rs)cd", "03h 46m 48.5s", "+68° 05′ 46″", "31 ± 3", "9.1"], ["Camelopardalis A", "Irr", "04h 26m 16.3s", "+72° 48′ 21″"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Irr | 128 | Answer: |
Table InputTable: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["4", "Marilyn Musgrave", "Re-election", "Betsy Markey", "Marilyn Musgrave"], ["5", "Doug Lamborn", "Re-election", "Hal Bidlack", "Doug Lamborn"], ["1", "Dian... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Brazil", "7", "5", "3", "15"], ["9", "Uruguay", "0", "0", "1", "1"], ["5", "Argentina", "1", "2", "5", "8"], ["2", "Venezuela", "3", "2", "8", "13"], ["Total", "Total", "16", "16", "30", "62"], ["6", "Peru", "1", "1", "2", "4"], ["9", "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:... | Venezuela | 128 | Answer: |
Table InputTable: [["Position", "Player", "Transferred From", "Date"], ["MF", "Mohd Noor Ali", "Geylang United", "1 January 2010"], ["GK", "Fajar Sarib", "Geylang United", "1 January 2010"], ["FW", "Rizawan Abdullah", "Balestier Khalsa", "1 January 2010"], ["GK", "Hafez Mawasi", "Balestier Khalsa", "1 January 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:... | Balestier Khalsa | 128 | Answer: |
Table InputTable: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["18", "18", "The Terrible Tribunal", "The Fantastic Four are taken to another planet where they are regarded as criminals against evil, charged by three old enemies. Reed is forced to recall his memories on Klaw, Molecule, Man and Blastaar’s defea... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Mysterious Molecule Man | 128 | Answer: |
Table InputTable: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Heywood H. Davis", "1958", "1959", "Kansas (1958)", "none"], ["Kenneth W. Dam", "1957", "1958", "Chicago (1957)", "none"], ["Jerome B. Libin", "1959", "1960", "Michigan (1959)", "none"], ["Alan C. Kohn", "1957", "1958", "Wash ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 C. Canby, Jr. | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1.", "Brazil", "21", "9", "12", "42"], ["8.", "Russia", "0", "2", "3", "5"], ["4.", "Australia", "1", "1", "1", "3"], ["9.", "Argentina", "0", "2", "0", "2"], ["4.", "Netherlands", "1", "1", "1", "3"], ["7.", "Germany", "0", "5", "1", "6"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Client", "Years of Operation", "Area of Operation", "Country", "Services"], ["Khalda/Repsol", "1998-99", "West Desert", "Egypt", "Drilling"], ["OMV", "1997", "Field 103", "Libya", "Drilling, workover"], ["Lasmo", "1993-94", "Wadi Borjuj", "Libya", "Drilling, workover"], ["Zueitina", "2001-current",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Zueitina | 128 | Answer: |
Table InputTable: [["Poll Source", "Sample Size", "Margin of Error", "Date", "Democrat", "%", "Republican", "%"], ["Survey USA", "517", "4.4", "Mar 14-16, 2008", "Hillary Clinton", "44", "John McCain", "48"], ["Survey USA", "563", "4.2", "Feb 15-17, 2008", "Hillary Clinton", "41", "John McCain", "52"], ["Survey USA", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rasmussen Reports | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time"], ["", "Jenny Kurth", "United States", "4:57.24"], ["", "Alison Fealey", "United States", "4:48.31"], ["", "Joanne Malar", "Canada", "4:43.64"], ["5", "Fabíola Molina", "Brazil", "5:03.43"], ["8", "Edith Arraspide", "Argentina", "5:13.95"], ["7", "Carolyn Adel",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Alpha-numeric Code", "Station name\\nEnglish", "Station name\\nChinese", "Station name\\nTamil", "Opening"], ["SE1", "Compassvale", "康埔桦", "கம்பஸ்வேல்", "18 January 2003"], ["SW1", "Cheng Lim", "振林", "செங் லிம்", "1 January 2013"], ["PE1", "Cove", "海湾", "கோவ்", "29 January 2005"], ["BP13", "Senja",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cheng Lim | 128 | Answer: |
Table InputTable: [["Season", "Class", "Moto", "Races", "Win", "Podiums", "Pole", "Pts", "Position"], ["2007", "125cc", "Derbi", "17", "0", "0", "0", "19", "22nd"], ["2004", "125cc", "Aprilia", "1", "0", "0", "0", "0", "NC"], ["2005", "125cc", "Derbi", "13", "0", "0", "0", "1", "36th"], ["2009", "125cc", "Aprilia", "16... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2011 | 128 | Answer: |
Table InputTable: [["Season", "Competition", "Round", "Club", "Home", "Away"], ["1987–88", "UEFA Cup", "2R", "Wismut Aue", "2–0", "0–1"], ["1987–88", "UEFA Cup", "1/16", "FC Barcelona", "1–0", "1–4"], ["1986–87", "UEFA Cup", "1R", "FC Barcelona", "1–1", "0–0"], ["1987–88", "UEFA Cup", "1R", "FK Partizan Beograd", "2–0"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Wismut Aue | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Name", "Position", "College"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["3", "69", "Dez White", "WR", "Georgia Tech"], ["7", "223", "James Cotton", "DE", "Ohio State"], ["3", "87", "Dustin Lyman", "TE", "Wake Forest"], ["4", "125", "Reggie Austin", "DB", "Wake Forest"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Island", "Area\\n(km²)", "Area\\n(sq mi)", "Country/Countries/Region"], ["216", "Ithaki", "96", "37", "Greece"], ["226", "Öja (island)", "90", "35", "Finland"], ["295", "San Pietro Island", "51", "20", "Italy"], ["213", "Santa Maria Island", "97", "37", "Portugal"], ["256", "Storlandet (Fin... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mljet | 128 | Answer: |
Table InputTable: [["School", "2007", "2008", "2009", "2010", "2011"], ["Woodrow Wilson High School", "582", "585", "600", "615", "636"], ["Abraham Lincoln High School", "594", "609", "588", "616", "643"], ["Thomas Jefferson High School", "457", "516", "514", "546", "546"], ["Theodore Roosevelt High School", "557", "55... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 585 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Game site", "NFL Recap", "Attendance"], ["11", "November 16, 1986", "at San Diego Chargers", "W 24–21", "Jack Murphy Stadium", "[11]", "55,622"], ["5", "October 5, 1986", "at Denver Broncos", "L 14–29", "Mile High Stadium", "[5]", "76,082"], ["13", "November 27... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | RFK Stadium | 128 | Answer: |
Table InputTable: [["President", "Became Oldest Living President", "Ceased to Be Oldest Living President", "Age at Start Date", "Age at End Date", "Duration (Years, Days)", "Duration (Days)"], ["George H. W. Bush", "December 26, 2006", "Current oldest living president", "82 years, 197 days", "Current oldest living pres... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ronald Reagan | 128 | Answer: |
Table InputTable: [["Binary", "Octal", "Decimal", "Hexadecimal", "Glyph"], ["0011 0000", "060", "48", "30", "0"], ["0011 0001", "061", "49", "31", "1"], ["0011 0100", "064", "52", "34", "4"], ["0011 0010", "062", "50", "32", "2"], ["0011 0101", "065", "53", "35", "5"], ["0011 1000", "070", "56", "38", "8"], ["0011 0111... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 0011 0100 | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints"], ["20", "Kerstin Finke (FRG)", "393.93", "20", ""], ["23", "Angela Ribeiro (BRA)", "370.68", "23", ""], ["15", "Antonette Wilken (ZIM)", "414.66", "15", ""], ["18", "Valerie McFarland-Beddoe (AUS)", "401.13", "18", ""],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sylvie Bernier (CAN) | 128 | Answer: |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2010", "10 Mar 2010", "Garmisch, Germany", "Downhill", "", "", "", ""], ["2010", "12 Mar 2010", "Garmisch, Germany", "Giant Slalom", "", "", "", ""], ["2009", "13 Dec 2008", "Val d'Isère, France", "Giant sl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["IC 342", "SAB(rs)cd", "03h 46m 48.5s", "+68° 05′ 46″", "31 ± 3", "9.1"], ["Camelopardalis B", "Irr", "04h 53m 07.1s", "+67° 05′ 57″", "77", "16.1"], ["Camelopardalis A", "Irr", "04h 26m 16.3s", "+72° 48′ 21″"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Im | 128 | Answer: |
Table InputTable: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Gina Zeneb Adamu", "17", "175 cm (5 ft 9 in)", "Bad Vöslau", "Runner-Up"], ["Nadine Trinker", "21", "183 cm (6 ft 0 in)", "Bodensdorf", "Eliminated in Episode 9"], ["Sabrina Angelika Rauch †", "21", "175 cm (5 ft 9 in)", "Graz", "Eliminated in E... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | shorter | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["2013", "4", "USL PDL", "4th, Heartland", "Did not qualify", "Did not qualify"], ["2007", "4", "USL PDL", "3rd, Heartland", "Did not qualify", "1st Round"], ["2009", "4", "USL PDL", "6th, Heartland", "Did not qualify", "Did no... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 15 | 128 | Answer: |
Table InputTable: [["Name", "Nation", "Position", "League Apps", "League Goals", "FA Cup Apps", "FA Cup Goals", "Total Apps", "Total Goals"], ["John Battye", "England", "DF", "22", "0", "0", "0", "22", "0"], ["Eddie Boot", "England", "DF", "38", "0", "1", "0", "39", "0"], ["Ray Taylor", "England", "MF", "2", "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:... | Ian Duthie, Harry Yates | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2001", "European Junior Championships", "Grosseto, Italy", "2nd", "61.97 m"], ["2001", "World Championships", "Edmonton, Canada", "23rd", "61.26 m"], ["2007", "World Championships", "Osaka, Japan", "13th", "68.15 m"], ["2009", "World Championsh... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | World Youth Championships, World Junior Championships, European Junior Championships | 128 | Answer: |
Table InputTable: [["Episode", "Show #", "Iron Chef", "Challenger", "Challenger specialty", "Secret ingredient(s) or theme", "Winner", "Final score"], ["2", "IA0508", "Mario Batali", "Tony Liu", "Pan-European", "Opah", "Mario Batali", "55-47"], ["6", "IA0506", "Bobby Flay", "Kurt Boucher", "French-American", "Arctic ch... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 11 | 128 | Answer: |
Table InputTable: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Duarte", "Paola Saint-Hilaire Arias", "20", "1.79", "Santiago de los Caballeros"], ["Santo Domingo", "Yisney Lina Lagrange Méndez", "19", "1.82", "Pedro Brand"], ["Barahona", "Lucía Magdalena Alvarado Suarez", "20", "1.71", "Santo Domingo"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["166", "Dean Holoien", "Right Wing", "Canada", "Washington Capitals", "Saskatoon Blades (WHL)"], ["165", "Sean Whyte", "Right Wing", "Canada", "Los Angeles Kings", "Guelph Platers (OHL)"], ["163", "David Shute",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["155", "Mike Sturgeon", "Defence", "Canada", "Edmonton Oilers", "Kelowna Buckaroos (BCJHL)"], ["154", "Mitch Lamoureux", "Centre", "Canada", "Pittsburgh Penguins", "Oshawa Generals (OMJHL)"], ["149", "Rick Zombo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ari Lahteenmaki | 128 | Answer: |
Table InputTable: [["#", "Title", "Featured guest(s)", "Producer(s)", "Time", "Sample (s)"], ["6", "\"Keep Hustlin\"", "E-40 & Too Short", "Young Tre", "3:39", "*\"Yearning for Your Love\" by The Gap Band\\n*\"Intimate Connection\" by Kleeer"], ["13", "\"Cheddar\"", "Mack 10 & Ice Cube", "Mo-Suave-A", "4:12", "*\"Gotta... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Melisa Popanicić", "16", "175 cm (5 ft 9 in)", "Wörgl", "2nd Eliminated in Episode 10"], ["Nadine Trinker", "21", "183 cm (6 ft 0 in)", "Bodensdorf", "Eliminated in Episode 9"], ["Dzejlana \"Lana\" Baltić", "20", "179 cm (5 ft 10.5 in)", "Graz (... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dzejlana "Lana" Baltić, Melisa Popanicić | 128 | Answer: |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2009", "13 Dec 2008", "Val d'Isère, France", "Giant slalom", "", "", "", ""], ["2010", "12 Mar 2010", "Garmisch, Germany", "Giant Slalom", "", "", "", ""], ["2011", "5 Mar 2011", "Kranjska Gora, Slovenia", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Val d'Isère, France, Beaver Creek, USA, Garmisch, Germany, Kranjska Gora, Slovenia | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air date", "Rating", "Share", "18-49 (Rating/Share)", "Viewers (m)", "Rank (night)", "Rank (timeslot)", "Rank (overall)"], ["3", "\"Blind Dates and Bleeding Hearts\"", "October 26, 2007", "6.1", "11", "1.9/6", "8.90", "#1", "#1", "#41"], ["7", "\"The Past Comes Back to Haunt You\"",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Lanny Poffo", "1", "May 10, 1978", "San Francisco, California", "Defeated Joe Banek to become the first champion"], ["Randy Savage", "3", "1982", "Unknown", ""], ["Randy Savage", "2", "1981", "Unknown", ""], ["Randy Savage", "1", "March 13, 197... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lanny Poffo | 128 | Answer: |
Table InputTable: [["Title", "Year", "Authors", "Publisher", "Pages"], ["ATM Vendor & Operator Strategies", "1993", "David Cleevely, Peter Aknai, Ian Leslie", "Analysis Publications", "180"], ["Global Turf Wars: Re-Inventing the Telecoms Operator for the Age of Global Competition", "1999", "Tim Hills, David Cleevely, 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:... | University of Cambridge | 128 | Answer: |
Table InputTable: [["Season/Torneo", "Jornada or Other", "Home Team", "Result", "Away Team", "Stadium", "Date"], ["1989-1990 Season", "22", "América", "2-2", "Chivas", "Estadio Azteca", "January 14, 1990"], ["1989-1990 Season", "3", "Chivas", "2-2", "América", "Estadio Jalisco", "September 24, 1989"], ["1988-1989 Seaso... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1990-1991 Season | 128 | Answer: |
Table InputTable: [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["Charles S. Price", "Steamer", "Lake Huron", "near Port Huron, Michigan", "28 lost"], ["Issac M. Scott", "Steamer", "Lake Huron", "near Port Elgin, Ontario", "28 lost"], ["Henry B. Smith", "Steamer", "Lake Superior", "", "all hands"], ["J... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Site", "Municipality", "Comments", "Coordinates", "Type", "Ref."], ["Peace Memorial Park\\n平和記念公園\\nHeiwa kinen kōen", "Hiroshima", "the Hiroshima Peace Memorial (Genbaku Dome) is inscribed on the UNESCO World Heritage List", "34°23′34″N 132°27′09″E / 34.39284707°N 132.45251203°E", "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:... | 6 | 128 | Answer: |
Table InputTable: [["Year", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1929", "23", "11", "112.146", "15", "17", "91", "0", "Supercharger"], ["1928", "8", "4", "117.031", "4", "10", "200", "33", "Running"], ["1927", "27", "27", "107.765", "22", "3", "200", "0", "Running"], ["1937", "38", "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:... | 33 | 128 | Answer: |
Table InputTable: [["Season", "Team", "Record", "Head Coach", "Quarterback", "Leading Rusher", "Leading Receiver", "All-Pros", "Runner Up"], ["1970", "Dallas Cowboys", "10–4", "Tom Landry*", "Craig Morton", "Duane Thomas", "Bob Hayes*", "Howley", "San Francisco 49ers"], ["1978", "Dallas Cowboys", "12–4", "Tom Landry*",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["September 20, 1997", "Fort Collins", "Air Force", "24", "Colorado State", "0", "AFA 21–14–1"], ["October 31, 2002", "Colorado Springs", "Colorado State", "31", "Air Force", "12", "AFA 23–17–1"], ["October 17, ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | September 20, 1997 | 128 | Answer: |
Table InputTable: [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["2001-02", "1", "2001-02 Superliga", "Peter Madsen (22)", "5th round", "EC3 3rd round", ""], ["1993-94", "3", "1993-94 Superliga", "Mark Strudal (13)", "Winner", "EC3 3rd round", ""], ["1998... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bent Christensen | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "India", "0", "0", "1", "1"], ["7", "Japan", "0", "0", "2", "2"], ["2", "Indonesia", "1", "3", "2", "6"], ["1", "Malaysia", "3", "0", "1", "4"], ["3", "Korea", "1", "1", "2", "4"], ["4", "Thailand", "1", "0", "0", "1"], ["6", "Denmark", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Indonesia | 128 | Answer: |
Table InputTable: [["No. in\\nseries", "No. in\\nseason", "Title", "Directed by", "Written by", "Original air date", "Prod.\\ncode"], ["26", "25", "\"My Mother, The Spy\"", "Richard Benedict", "Howard Gast", "March 30, 1966", "125"], ["1", "14", "\"Affair in T'Sien Cha\"", "Sheldon Leonard", "Morton Fine & David Friedk... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["District", "Incumbent", "Party", "First\\nelected", "Result", "Candidates"], ["Maryland 7", "Elijah Cummings", "Democratic", "1996", "Re-elected", "Elijah Cummings (D) 73.53%\\nJoseph Ward (R) 26.38%"], ["Maryland 6", "Roscoe Bartlett", "Republican", "1992", "Re-elected", "Roscoe Bartlett (R) 66.11... | 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:... | 8 | 128 | Answer: |
Table InputTable: [["Year", "Chassis", "Engine", "Start", "Finish", "Team"], ["2010", "Dallara", "Honda", "1", "9", "Team Penske"], ["2009", "Dallara", "Honda", "1", "1", "Team Penske"], ["2006", "Dallara", "Honda", "2", "25", "Team Penske"], ["2008", "Dallara", "Honda", "4", "4", "Team Penske"], ["2011", "Dallara", "H... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["1994–1999", "Sister, Sister", "Tamera Campbell", "119 episodes"], ["1991", "Flesh'n Blood", "Penelope", "1 episode"], ["2006–2007", "Family Guy", "Esther", "Voice\\n3 episodes"], ["2004–2006", "Strong Medicine", "Dr. Kayla Thorton", "37 episodes"], ["2011–2013", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Poll Source", "Sample Size", "Margin of Error", "Date", "Democrat", "%", "Republican", "%"], ["Survey USA", "517", "4.4", "Mar 14-16, 2008", "Barack Obama", "50", "John McCain", "44"], ["Survey USA", "563", "4.2", "Feb 15-17, 2008", "Barack Obama", "51", "John McCain", "41"], ["Survey USA", "563", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 15 | 128 | Answer: |
Table InputTable: [["Fence", "Name", "Jockey", "Age", "Handicap (st-lb)", "Starting price", "Fate"], ["09", "Groomsman", "Beltrán Osorio", "10", "10-13", "100/1", "Fell"], ["06", "Nedsmar", "John Hudson", "11", "10-13", "100/1", "Fell"], ["?", "Reproduction", "Robin Langley", "12", "10-13", "40/1", "Pulled-Up"], ["?", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 20 | 128 | Answer: |
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