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: [["Season", "Class", "Moto", "Races", "Win", "Podiums", "Pole", "Pts", "Position"], ["2010", "125cc", "Aprilia", "16", "3", "14", "1", "296", "2nd"], ["2011", "125cc", "Aprilia", "16", "8", "11", "7", "302", "1st"], ["2009", "125cc", "Aprilia", "16", "1", "4", "0", "179.5", "3rd"], ["2007", "125cc", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yes | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["6", "Italy", "–", "2", "1", "3"], ["4", "Hungary", "1", "1", "3", "5"], ["1", "Netherlands", "8", "3", "1", "12"], ["8", "China", "–", "–", "1", "1"], ["7", "Russia", "–", "1", "1", "2"], ["3", "United States", "2", "5", "1", "8"], ["2", "Aus... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Series", "Premiere", "Finale", "Winner", "Runner-up", "Third place", "Host(s)", "Judging panel", "Guest judge(s)"], ["One", "9 June 2007", "17 June 2007", "Paul Potts", "Damon Scott", "Connie Talbot", "Ant & Dec", "Simon Cowell\\nAmanda Holden\\nPiers Morgan", "N/A"], ["Seven", "13 April 2013", "8 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 months | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["5", "October 2, 1988", "Seattle Seahawks", "L 31–20", "28,619"], ["14", "December 4, 1988", "San Francisco 49ers", "L 13–3", "44,048"], ["2", "September 11, 1988", "New Orleans Saints", "L 29–21", "48,901"], ["13", "November 27, 1988", "Tampa 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:... | 75,287 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["12", "31", "Ryan Hunter-Reay", "American Spirit Team Johansson", "86", "+ 1 Lap", "17", "1"], ["3", "3", "Paul Tracy", "Team Player's", "87", "+28.6 secs", "3", "14"], ["1", "32", "Patrick Carpentier", "Team Player's", "87",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Team Player's | 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"], ["2", "\"Where Y'all From\"", "", "Battlecat", "1:11", ""], ["15", "\"It's All Bad\"", "",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Year", "Total\\npassengers", "Passenger\\nChange", "Domestic", "International\\n(total)", "International\\n(non-CIS)", "CIS", "Aircraft\\nLandings", "Cargo\\n(tonnes)"], ["2012", "3 783 069", "+12.7%", "1 934 016", "1 849 053", "1 448 765", "439 668", "21 728", "25 866"], ["2013", "4 293 002", "+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:... | 3 783 069 | 128 | Answer: |
Table InputTable: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["1.", "18238", "Chhatisgarh Express", "01:23", "01:25", "Daily"], ["33.", "18237", "Chhatisgarh Express", "23:09", "23:10", "Daily"], ["25.", "12722", "Dakshin Express", "16:00", "16:02", "Daily"], ["29.", "51830", "Agra-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:... | 17 | 128 | Answer: |
Table InputTable: [["Year", "Kit Manufacturer", "Shirt Sponsor", "Back of Shirt Sponsor", "Short Sponsor"], ["2009–2011", "Errea", "Mira Showers", "PSU Technology Group", ""], ["1999–2004", "Errea", "Towergate Insurance", "", ""], ["1996–1997", "UK", "Endsleigh Insurance", "", ""], ["1977–1978", "", "National Express",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 years | 128 | Answer: |
Table InputTable: [["Date", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["September 29, 1984", "Colorado Springs", "Air Force", "52", "Colorado State", "10", "AFA 14–8–1"], ["October 31, 2002", "Colorado Springs", "Colorado State", "31", "Air Force", "12", "AFA 23–17–1"], ["Septembe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Title", "Role", "Notes"], ["1993", "Kung Fu: The Legend Continues", "Elizabeth", ""], ["1992", "The Judge", "Millie Waters", ""], ["1993", "Family Pictures", "", ""], ["1994", "Reform School Girl", "Lucille", ""], ["1999", "Sabrina, Down Under", "Gwen", ""], ["1998", "Sabrina Goes to Rome",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kung Fu: The Legend Continues | 128 | Answer: |
Table InputTable: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["13", "Robert Doornbos", "Minardi Team USA", "69", "+1:00.638", "9", "8"], ["10", "Ryan Dalziel", "Pacific Coast Motorsports", "69", "+29.554", "15", "11"], ["8", "Oriol Servià", "Forsythe Racing", "69", "+23.406", "13", "15"], ["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:... | Ryan Dalziel | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Macau (MAC)", "11", "16", "17", "44"], ["1", "China (CHN)", "127", "63", "33", "223"], ["7", "Hong Kong (HKG)", "2", "2", "9", "13"], ["4", "Chinese Taipei (TPE)", "12", "34", "26", "72"], ["8", "Mongolia (MGL)", "1", "1", "6", "8"], ["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:... | More | 128 | Answer: |
Table InputTable: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS R&B", "Peak chart positions\\nUS Rap", "Album"], ["\"Pain In My Life\"\\n(featuring Trey Songz)", "2006", "—", "—", "—", "N/A"], ["\"C'mon Baby\"\\n(featuring Swizz Beatz)", "2007", "—", "—", "—", "N/A"], ["\"Gotta Believe It\"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Designer(s)", "Brief description", "Selected by:", "Associated publication"], ["1992", "Ralph Lauren", "Woman's black and white pinstripe trouser suit & shirt", "Liz Smith", "The Times"], ["1973", "Female: Marc Bohan for Christian Dior London\\nMale: Yves Saint Laurent Rive Gauche", "Female... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Karl Lagerfeld for Chanel | 128 | Answer: |
Table InputTable: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Kenneth W. Dam", "1957", "1958", "Chicago (1957)", "none"], ["Heywood H. Davis", "1958", "1959", "Kansas (1958)", "none"], ["Patrick F. McCartan", "1959", "1960", "Notre Dame (1959)", "none"], ["Jerome B. Libin", "1959", "1960... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 year | 128 | Answer: |
Table InputTable: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["2", "Jan Heylen", "Conquest Racing", "69", "+7.227", "7", "27"], ["1", "Justin Wilson", "RuSPORT", "69", "1:46:02.236", "2", "32"], ["6", "Simon Pagenaud", "Team Australia", "69", "+22.698", "5", "19"], ["15", "Alex Tagliani", "Rock... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sébastien Bourdais | 128 | Answer: |
Table InputTable: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["2004", "210", "16", "11.5", "22.4"], ["1997", "141", "", "", ""], ["1996", "130", "", "", ""], ["1994", "154", "", "", ""], ["1998", "153", "14", "", ""], ["1995", "139", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 210 | 128 | Answer: |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2012", "New South Wales", "New South Wales", "Darwin", "Brothers in Arms", "Bush Potatoes"], ["2008", "Queensland", "", "Katherine", "Cooktown", "New S... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tasmania | 128 | Answer: |
Table InputTable: [["Site", "Municipality", "Comments", "Coordinates", "Type", "Ref."], ["*Itsukushima\\n厳島\\nItsukushima", "Hatsukaichi", "also a Special Historic Site; Itsukushima Jinja is inscribed on the UNESCO World Heritage List", "34°16′16″N 132°18′22″E / 34.27116774°N 132.30612348°E", "8", "[3]"], ["Peace Mem... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Itsukushima | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["2", "6", "Ryan Briscoe", "Penske Racing", "85", "+ 29.7803", "1", "6", "41"], ["19", "7", "Danica Patrick", "Andretti Green Racing", "83", "+ 2 Laps", "12", "0", "12"], ["1", "9", "Scott Dixon", "Chip Ganassi Ra... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dario Franchitti | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["21 January 1961", "West Ham United", "A", "1-3", "21,829", "Blunstone"], ["14 January 1961", "Bolton Wanderers", "H", "1-1", "20,461", "Livesey"], ["24 December 1960", "Manchester United", "H", "1-2", "37,601", "Brabrook"], ["26 Dece... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 31 August 1960 | 128 | Answer: |
Table InputTable: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["3", "John Salazar", "Re-election", "John Salazar", "Wayne Wolf"], ["5", "Doug Lamborn", "Re-election", "Hal Bidlack", "Doug Lamborn"], ["4", "Marilyn Musgra... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 0 | 128 | Answer: |
Table InputTable: [["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:... | 5 | 128 | Answer: |
Table InputTable: [["#", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["3", "September 17, 1989", "Tegucigalpa, Honduras", "El Salvador", "1–0", "1–0", "1990 World Cup qualifying"], ["11", "February 20, 1994", "Miami, Florida", "Sweden", "1–3", "1–0", "Friendly"], ["2", "August 13, 1988", "St. Louis,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Common name", "District", "Hebrew", "Arabic", "Population\\n(2009)", "Area\\n(km²)", "Mayor"], ["Bnei Brak", "Tel Aviv", "בני ברק", "بني براك", "154,400", "7.088", "Ya'akov Asher"], ["Holon", "Tel Aviv", "חולון", "حولون", "184,700", "18.927", "Moti Sasson"], ["Yokneam", "North", "יקנעם", "يوقنعم", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Holon | 128 | Answer: |
Table InputTable: [["Tournament", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "W–L"], ["Year-End Ranking", "139", "325", "82", "89", "112", "51", "81", "", ""], ["Win–Loss", "0–1", "0–1", "0–1", "3–4", "0–3", "4–4", "1–4", "0–1", "8–19"], ["Titles–Finals", "0–0", "0–0", "0–0", "0–0", "0–0", "0–1", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Date", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["August 30", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 2, Home", "Käerjeng", "Stade Maurice Dufrasne, Liège", "1-0"], ["August 16", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 1, Away", "Käerjeng", "S... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Anderlecht | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "5.", "4 September 2012", "Mestre, Italy", "Clay", "Estrella Cabeza Candela", "6–1, 3–6, 6–1"], ["Winner", "3.", "7 June 2011", "Campobasso, Italy", "Clay", "Alizé Lim", "6–2, 6–4"], ["Winner", "4.", "20 June 2011", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Title", "Featured guest(s)", "Producer(s)", "Time", "Sample (s)"], ["4", "\"The Shadiest One\"", "CJ Mac", "Ant Banks", "4:26", ""], ["10", "\"Like That\"", "Ice Cube, Daz Dillinger & CJ Mac", "Daz Dillinger", "4:29", "*\"Just Rhymin' With Biz\" by Big Daddy Kane\\n*\"West Up!\" by WC and the ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 17 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["31 August 1960", "Leicester City", "A", "3-1", "21,087", "Sillett, Greaves, Brooks"], ["27 August 1960", "Wolverhampton Wanderers", "H", "3-3", "41,681", "Greaves (3)"], ["24 August 1960", "Leicester City", "H", "1-3", "24,691", "Bra... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | 128 | Answer: |
Table InputTable: [["Year", "Winner", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Win $"], ["2003", "Indy Five Hundred", "Pat Day", "Robert Barbara", "Georgica Stable", "1-1/8", "1:48.44", "$150,000"], ["2011", "Winter Memories", "Javier Castellano", "James J. Toner", "Phillips Racing Partnership", "1-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1978 | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["9", "Ben Hogan", "United States", "75-71-72-72=290", "+2", "125"], ["1", "Ralph Guldahl", "United States", "72-68-70-69=279", "–9", "1,500"], ["T10", "Ed Dudley", "United States", "75-75-69-72=291", "+3", "100"], ["T3", "Billy Burke", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 125 | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1937/38", "N/A", "ASL", "3rd(t), National", "1st Round", "?"], ["1934/35", "N/A", "ASL", "2nd", "No playoff", "?"], ["1933/34", "N/A", "ASL", "2nd", "No playoff", "?"], ["1935/36", "N/A", "ASL", "1st", "Champion (no playoff)... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 83 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["10", "8", "Tim Schenken", "Brabham-Ford", "76", "+ 4 Laps", "18", ""], ["6", "24", "Rolf Stommelen", "Surtees-Ford", "79", "+ 1 Lap", "16", "1"], ["Ret", "7", "Graham Hill", "Brabham-Ford", "1", "Accident", "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:... | Jo Siffert | 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"], ["8", "New York Giants", "Joe Heap", "Halfback", "Notre Dame"], ["4", "Washington Redskins", "Ra... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name", "Nationality", "From", "To", "Honours", "Comments"], ["René Heitmann", "Denmark", "17 July 2010", "27 July 2010", "", "Never coached the team in a match"], ["John 'Tune' Kristiansen", "Denmark", "18 June 2012", "23 June 2012", "", "Caretaker for one league match"], ["Ebbe Skovdahl", "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:... | Anders Theil | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["17", "2", "Sébastien Bourdais", "Newman/Haas Racing", "77", "Mechanical", "4", "0"], ["16", "11", "Geoff Boss", "Dale Coyne Racing", "83", "Mechanical", "19", "0"], ["1", "32", "Patrick Carpentier", "Team Player's", "87", "1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Value", "Diameter", "Composition", "1975–1979\\nObverse", "1975–1979\\nReverse", "1981-\\nObverse", "1981-\\nReverse"], ["20 seniti", "29 mm", "Cupronickel", "King", "Bees and hive", "King", "Yams"], ["1 seniti", "18 mm", "Bronze", "Maize", "Pig", "Maize", "Vanilla"], ["2 seniti", "21 mm", "Bronze"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 seniti | 128 | Answer: |
Table InputTable: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["Camelopardalis A", "Irr", "04h 26m 16.3s", "+72° 48′ 21″", "-46 ± 1", "14.8"], ["Camelopardalis B", "Irr", "04h 53m 07.1s", "+67° 05′ 57″", "77", "16.1"], ["Cassiopeia 1", "dIrr", "02h 06m 02.8s", "+68° 59′ 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:... | Camelopardalis B | 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"], ["1978", "4", "Pakistan win", "3 - 1", "Islahuddin Siddique", "Sayad A. Hussa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1927", "27", "27", "107.765", "22", "3", "200", "0", "Running"], ["1928", "8", "4", "117.031", "4", "10", "200", "33", "Running"], ["1937", "38", "7", "118.788", "16", "8", "200", "0", "Running"], ["1939", "62", "27", "12... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 200 | 128 | Answer: |
Table InputTable: [["Competition", "Total spectatorship", "Average match attendance", "Year"], ["Big Bash League", "550,262", "17,750", "2011/2012"], ["Super Rugby", "773,940", "19,348", "2012"], ["Rugby Championship", "133,532", "44,511", "2012"], ["National Rugby League", "3,345,248", "16,643", "2013"], ["State of Or... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Australian Football League | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Randy Savage", "3", "1982", "Unknown", ""], ["Randy Savage", "2", "1981", "Unknown", ""], ["Randy Savage", "1", "March 13, 1979", "Halifax, Nova Scotia", ""], ["Paul Christy", "1", "November 13, 1983", "Springfield, Illinois", ""], ["Lanny Poff... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2005", "CSKA Moscow", "Russia", "1", "0", "0"], ["2006", "Spartak Nizhny Novgorod", "Russia", "2", "36", "1"], ["2004", "CSKA Moscow", "Russia", "1", "0", "0"], ["2006/07", "Dnipro Dnipropetrovsk", "Ukraine", "1", "12", "0"], ["2010/11", "... | 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:... | 1 | 128 | Answer: |
Table InputTable: [["Game", "Date", "Team", "Score", "High points", "High rebounds", "High assists", "Location\\nAttendance", "Record"], ["38", "January 11", "Dallas", "W 102–95", "Kevin Martin (21)", "Spencer Hawes (8)", "Beno Udrih (6)", "ARCO Arena\\n12,294", "9–29"], ["48", "January 30", "Chicago", "L 88–109", "Kev... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Tie no", "Home team", "Score", "Away team", "Date", "Attendance"], ["11", "Brentford", "0 – 3", "Burnley", "25 January 2003", "9,563"], ["3", "Watford", "1 – 0", "West Bromwich Albion", "25 January 2003", "16,975"], ["6", "Blackburn Rovers", "3 – 3", "Sunderland", "25 January 2003", "14,315"], ["1"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9,563 | 128 | Answer: |
Table InputTable: [["Year", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["1994", "Carl Fogarty", "11", "Ducati 916", "Ducati"], ["1996", "Troy Corser", "7", "Ducati 916", "Ducati"], ["2001", "Troy Bayliss", "6", "Ducati 996", "Ducati"], ["1995", "Carl Fogarty", "13", "Ducati 916", "Ducati"], ["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:... | Carl Fogarty | 128 | Answer: |
Table InputTable: [["#", "Player", "Goals", "Caps", "Career"], ["2", "Clint Dempsey", "36", "103", "2004–present"], ["9T", "Earnie Stewart", "17", "101", "1990–2004"], ["1", "Landon Donovan", "57", "155", "2000–present"], ["8", "Eddie Johnson", "19", "62", "2004–present"], ["4", "Brian McBride", "30", "95", "1993–2006"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Earnie Stewart | 128 | Answer: |
Table InputTable: [["Team", "City", "Years active", "Seasons played", "Win–loss record", "Win%", "Playoffs appearances"], ["Indianapolis Jets", "Indianapolis, Indiana", "1948–1949", "1", "18–42", ".300", "0"], ["Waterloo Hawks", "Waterloo, Iowa", "1949–1950", "1", "19–43", ".306", "0"], ["Detroit Falcons", "Detroit, 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:... | 2 | 128 | Answer: |
Table InputTable: [["Year", "Wins (majors)", "Earnings ($)", "Rank"], ["Career*", "20 (1)", "42,511,946", "6"], ["2002", "0", "2,056,160", "21"], ["1985", "0", "0", "-"], ["2008", "1", "1,695,237", "48"], ["1989", "0", "278,760", "44"], ["2004", "0", "3,075,092", "10"], ["1986", "0", "113,245", "77"], ["2003", "4", "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:... | 2003 | 128 | Answer: |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Samara Oblast", "Nadia Gurina", "Надиа Гурина", "20", "1.78 m (5 ft 10 in)", "Samara"], ["Ryazan Oblast", "Julia Sandrova", "Юлиа Сандрова", "20", "1.74 m (5 ft 8 1⁄2 in)", "Ryazan"], ["Krasnodar Krai", "Patricia Valiahmetova", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 38 | 128 | Answer: |
Table InputTable: [["#", "Date", "Location", "Winner", "Score\\nJSU", "Score\\nTU", "Series"], ["8", "November 11, 1938", "Jacksonville, AL", "Tied", "6", "6", "TSU 4–3–1"], ["6", "November 10, 1933", "Jacksonville, AL", "Troy State", "7", "18", "Tied 3–3"], ["38", "November 11, 1972", "Jacksonville, AL", "Tied", "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:... | 20 | 128 | Answer: |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["6", "Supercheap Auto Bathurst 1000", "Mount Panorama Circuit", "Bathurst, New South Wales", "8-11 Oct", "Jonathon Webb"], ["4", "Norton 360 Sandown Challenge", "Sandown Raceway", "Melbourne, Victoria", "31 Jul-Aug 2", "David Russell"], ["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:... | 4 | 128 | Answer: |
Table InputTable: [["Year", "Manufacturer", "Model", "Length (feet)", "Quantity", "Fleet Series", "Fuel Propulsion", "Powertrain"], ["2005", "Van Hool", "A300FC", "40", "3", "FC1-FC3", "Hydrogen", ""], ["2013", "Gillig", "Low-floor Advantage", "40", "55", "6101-6155", "Diesel", "Cummins ISL 280 HP\\nAllison B400 6-spee... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Diesel | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["8", "27", "Henri Pescarolo", "March-Ford", "77", "+ 3 Laps", "13", ""], ["10", "8", "Tim Schenken", "Brabham-Ford", "76", "+ 4 Laps", "18", ""], ["7", "22", "John Surtees", "Surtees-Ford", "79", "+ 1 Lap", "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:... | Jackie Stewart | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2009", "Asian Championships", "Guangzhou, China", "1st", "200 m", "21.07"], ["2009", "Asian Indoor Games", "Hanoi, Vietnam", "4th", "60 m", "6.72 (NR)"], ["2008", "Olympic Games", "Beijing, China", "40th (h)", "200 m", "21.00"], ["2011... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1st | 128 | Answer: |
Table InputTable: [["Team", "Stadium", "Capacity", "City/Area"], ["Wakefield Trinity Wildcats (2014 season)", "Rapid Solicitors Stadium", "11,000", "Wakefield, West Yorkshire"], ["Bradford Bulls (2014 season)", "Provident Stadium", "27,000", "Bradford, West Yorkshire"], ["Leeds Rhinos (2014 season)", "Headingley Carneg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Location", "Opponent", "Result", "Competition"], ["January 19, 2013", "Concepción, Chile", "Chile", "0–3", "F"], ["March 20, 2013", "Muscat, Oman", "Oman", "0–3", "F"], ["July 12, 2013", "Miami Gardens, United States", "Trinidad and Tobago", "2-0", "GC"], ["July 8, 2013", "Harrison, United ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Num", "Pod Color", "Nickname", "Short Description", "Episode"], ["054", "Blue", "Fudgy", "An experiment made of chocolate that looks like a blob. Designed to drown people in his sticky sweetness. When he was activated, he was called 119, and he was mistaken for experiment 611. The mistake with his ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Shrink | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Winner", "2.", "7 August 2011", "Vancouver, Canada", "Hard", "Karolína Plíšková", "Jamie Hampton\\n N. Lertcheewakarn", "5–7, 6–2, 6–4"], ["Runner-up", "2.", "6 November 2011", "Taipei 5, Taiwan", "Hard", "Karolín... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 February 2011 | 128 | Answer: |
Table InputTable: [["Golfer", "Country", "Wins", "Match Play", "Championship", "Invitational", "Champions"], ["Phil Mickelson", "United States", "2", "—", "1: 2009", "—", "1: 2009"], ["Tiger Woods", "United States", "18", "3: 2003, 2004, 2008", "7: 1999, 2002, 2003,\\n2005, 2006, 2007, 2013", "8: 1999, 2000, 2001, 2005... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["name", "glyph", "C string", "Unicode", "Unicode name"], ["number-sign", "#", "#", "U+0023", "NUMBER SIGN"], ["percent-sign", "%", "%", "U+0025", "PERCENT SIGN"], ["less-than-sign", "<", "<", "U+003C", "LESS-THAN SIGN"], ["plus-sign", "+", "+", "U+002B", "PLUS SIGN"], ["nine", "9", "9", "U+0039", "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:... | no | 128 | Answer: |
Table InputTable: [["Year", "Supporting Actor", "Motion Picture", "Nominees"], ["2014", "David Oyelowo", "Lee Daniels' The Butler", "Terrence Howard - Lee Daniels' The Butler\\nCuba Gooding Jr. - Lee Daniels' The Butler\\nTerrence Howard - The Best Man Holiday\\nMorris Chestnut - The Best Man Holiday"], ["2007", "Djimo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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:... | UNESCO World Heritage List | 128 | Answer: |
Table InputTable: [["Contestant", "Original\\nTribe", "First\\nSwitch", "Second\\nSwitch", "Merged\\nTribe", "Finish", "Ghost\\nIsland", "Total\\nVotes"], ["Njegoš Arnautović\\n21, Bijeljina, Republika Srpska", "Manobo", "Ga 'dang", "Ga 'dang", "Diwata", "Eliminated in Challenge\\n7th Jury Member\\nDay 53", "Locator of... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "3.", "21 May 2006", "Hamburg Masters, Hamburg, Germany", "Clay", "Radek Štěpánek", "6–1, 6–3, 6–3"], ["Winner", "2.", "2 May 2004", "Torneo Godó, Barcelona, Spain", "Clay", "Gastón Gaudio", "6–3, 4–6, 6–2, 3–6, 6–3"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["December 3", "vs. #6 Florida", "#3", "Georgia Dome • Atlanta, GA (SEC Championship Game)", "ABC", "L 23–24", "74,751"], ["September 17", "at Arkansas", "#12", "Razorback Stadium • Fayetteville, AR", "ABC", "W 13–6", "52,089"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | January 2, 1995 | 128 | Answer: |
Table InputTable: [["#", "Directed By", "Written By", "Original Air Date"], ["11", "John Reardon", "Simon J. Sharkey", "January 4, 1998"], ["13", "John Reardon", "Simon J. Sharkey", "January 18, 1998"], ["18", "John Reardon", "Simon J. Sharkey", "February 22, 1998"], ["10", "John Reardon", "Simon J. Sharkey", "November... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["decimal32", "decimal64", "decimal128", "decimal(32k)", "Format"], ["192", "768", "12288", "3×2w = 48×4k", "Exponent range"], ["7", "16", "34", "p = 3×t/10+1 = 9×k−2", "Coefficient size (decimal digits)"], ["32", "64", "128", "32×k", "Total size (bits)"], ["−95", "−383", "−6143", "Emin = 1−Emax", "S... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | -6176 | 128 | Answer: |
Table InputTable: [["Season", "Team", "Record", "Head Coach", "Quarterback", "Leading Rusher", "Leading Receiver", "All-Pros", "Runner Up"], ["1996", "Green Bay Packers†", "13–3", "Mike Holmgren", "Brett Favre", "Edgar Bennett", "Antonio Freeman", "Butler, Favre", "Carolina Panthers"], ["1997", "Green Bay Packers", "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:... | 3 | 128 | Answer: |
Table InputTable: [["Sl no", "Name of the prabandham", "Starting from", "Ending with", "Number of pasurams", "Sung by"], ["", "Total number of pasurams", "", "", "3776", ""], ["11", "Kurun Thandagam", "2032", "2051", "20", "Thirumangai alvar"], ["17", "Thiruviruththam", "2478", "2577", "100", "Nammalvar"], ["5", "Thiru... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Thiruvezhukkurrirukkai, Siriya Thirumadal, Peria Thirumadal | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs"], ["2005", "1", "USL W-League", "6th, Western", ""], ["2008", "1", "USL W-League", "6th, Western", "Did not qualify"], ["2003", "2", "USL W-League", "5th, Western", ""], ["2009", "1", "USL W-League", "7th, Western", "Did not qualify"], ["2006",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Game", "Date", "Opponent", "Location", "Score", "OT", "Attendance", "Record"], ["4", "January 20, 2007", "Minnesota Swarm", "HSBC Arena", "W 22–13", "", "12,883", "2–2"], ["8", "February 17, 2007", "@ Philadelphia Wings", "Wachovia Center", "W 12–8", "", "12,688", "4–4"], ["2", "January 12, 2007", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Event", "Class", "Gold", "Silver", "Bronze"], ["Slalom", "LW2\\ndetails", "Michael Milton\\nAustralia (AUS)", "Monte Meier\\nUnited States (USA)", "Michael Hipp\\nGermany (GER)"], ["Slalom", "LW4\\ndetails", "Hubert Mandl\\nAustria (AUT)", "Hans Burn\\nSwitzerland (SUI)", "Martin Falch\\nAustria (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:... | 4 | 128 | Answer: |
Table InputTable: [["name", "glyph", "C string", "Unicode", "Unicode name"], ["tab", "", "\\\\t", "U+0009", "CHARACTER TABULATION (HT)"], ["g", "g", "g", "U+0067", "LATIN SMALL LETTER G"], ["G", "G", "G", "U+0047", "LATIN CAPITAL LETTER G"], ["eight", "8", "8", "U+0038", "DIGIT EIGHT"], ["seven", "7", "7", "U+0037", "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:... | 9 | 128 | Answer: |
Table InputTable: [["Series #", "Season #", "Title", "Notes", "Original air date"], ["12", "1", "\"Candy Sale\"", "Alfie and Goo are selling candy to make money for some expensive jackets, but they are not having any luck. However, when Dee Dee start helping them sell candy, they start to make money and asks him to hel... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Practical Joke War" | 128 | Answer: |
Table InputTable: [["#", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["2.", "27 March 1999", "Mestalla, Valencia, Spain", "Austria", "5–0", "9–0", "Euro 2000 qualifying"], ["1.", "27 March 1999", "Mestalla, Valencia, Spain", "Austria", "3–0", "9–0", "Euro 2000 qualifying"], ["3.", "31 March 1999", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | San Marino | 128 | Answer: |
Table InputTable: [["Locomotive", "Name", "Serial No", "Entered Service", "Livery"], ["9001", "Ernest Henry", "1373/918266-3", "May 94", "FreightCorp"], ["9028", "-", "1400/918266/28", "Aug 94", "FreightCorp"], ["9008", "Ralph Doubell", "1380/918266-8", "Aug 94", "FreightCorp"], ["9007", "Dunc Gray", "1379/918266-7", "... | 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:... | 27 | 128 | Answer: |
Table InputTable: [["Route", "Destinations", "Via", "Frequency\\n(minutes)", "Peak Hours Only", "Former"], ["12", "Kingston Centre\\nHighway 15", "Downtown\\nCFB Kingston (off-peak only)", "30", "", "-"], ["11", "Kingston Centre\\nCataraqui Town Centre", "Bath Road\\nGardiners Town Centre", "30", "", "(formerly Route 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:... | 2 | 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"], ["11–15", "12–01", "ENG", "WR", "UK Championship", "Guild Hall", "Preston", "Stephen ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Title", "Role", "Notes"], ["2011–2013", "Tia & Tamera", "Herself", "Executive producer"], ["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 Thort... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 23 years | 128 | Answer: |
Table InputTable: [["Hand", "Auto", "Wind", "Athlete", "Nationality", "Birthdate", "Location", "Date"], ["", "10.95", "", "Karl Heinz Schröder", "Germany", "17.06.1939", "Hannover", "28.07.1979"], ["10.7", "", "", "Klaus Jürgen Schneider", "Germany", "02.03.1942", "Stuttgart", "07.07.1982"], ["", "10.84", "1.8", "Erik ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["May 20-21\\n118", "March 9\\n120", "December 25-26\\n122", "October 13-14\\n124", "August 1-2\\n126"], ["May 21, 1993", "March 9, 1997", "December 25, 2000", "October 14, 2004", "August 1, 2008"], ["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:... | 118 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time", "Notes", "Points"], ["4", "Mario Scapini", "Italy", "1:47.20", "PB", "9"], ["6", "Oleh Kayafa", "Ukraine", "1:47.42", "", "7"], ["12", "Milan Kocourek", "Czech Republic", "1:59.28", "", "1"], ["8", "Robin Schembera", "Germany", "1:47.79", "", "5"], ["1", "Adam ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["11 Nov 1950", "Southend United", "A", "0–3", "", "9,882"], ["23 Sep 1950", "Bristol Rovers", "A", "0–1", "", "19,816"], ["18 Apr 1951", "Brighton & Hove Albion", "A", "1–9", "Parker", "12,114"], ["28 Oct 1950", "Bournemouth & Boscom... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13,129 | 128 | Answer: |
Table InputTable: [["DATE", "OPPONENT", "SCORE", "TOP SCORER (Total points)", "VENUE"], ["February 28", "SAN MIGUEL", "78-76", "Lowell Briones (21)", "PHILSPORTS ARENA"], ["February 16", "ALASKA", "73-72", "Davonn Harp (20)", "PHILSPORTS ARENA"], ["February 7 All-Filipino Cup", "SHELL", "76-60", "", "PHILSPORTS ARENA"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | February 16 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["15", "Iran (IRI)", "0", "1", "0", "1"], ["9", "Qatar (QAT)", "1", "4", "3", "8"], ["11", "Kyrgyzstan (KGZ)", "1", "1", "0", "2"], ["8", "Sri Lanka (SRI)", "2", "0", "2", "4"], ["3", "Saudi Arabia (KSA)", "7", "1", "0", "8"], ["1", "China (CHN... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Binary", "Octal", "Decimal", "Hexadecimal", "Glyph"], ["0011 0010", "062", "50", "32", "2"], ["0011 0011", "063", "51", "33", "3"], ["0011 0001", "061", "49", "31", "1"], ["0011 0000", "060", "48", "30", "0"], ["0011 0111", "067", "55", "37", "7"], ["0011 1000", "070", "56", "38", "8"], ["0011 1001... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Location", "Winner", "Score\\nJSU", "Score\\nTU", "Series"], ["8", "November 11, 1938", "Jacksonville, AL", "Tied", "6", "6", "TSU 4–3–1"], ["6", "November 10, 1933", "Jacksonville, AL", "Troy State", "7", "18", "Tied 3–3"], ["38", "November 11, 1972", "Jacksonville, AL", "Tied", "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:... | 1938, 1972 | 128 | Answer: |
Table InputTable: [["Ship", "Hull No.", "Status", "Years Active", "NVR\\nPage"], ["Joshua Humphreys", "T-AO-188", "Inactivated 1996, returned to service 2005", "1987-1996; 2005-2006; 2010-present", "AO188"], ["John Lenthall", "T-AO-189", "Active", "1987-1996; 1998–present", "AO189"], ["Laramie", "T-AO-203", "Active", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Fence", "Name", "Jockey", "Age", "Handicap (st-lb)", "Starting price", "Fate"], ["?", "Blonde Warrior", "Mr D Crossley-Cooke", "13", "10-13", "100/1", "Fell"], ["?", "Solonace", "RW Jones", "13", "10-13", "100/1", "Pulled Up"], ["10", "Dark Venetian", "Jim Renfree", "10", "10-13", "100/1", "Fell"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["1", "KR", "18", "11", "4", "3", "27", "14", "+13", "37", "UEFA Champions League"], ["3", "Grindavík", "18", "8", "6", "4", "25", "18", "+7", "30", "UEFA Cup"], ["4", "ÍBV", "18", "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:... | Fylkir | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "Asian Games", "Doha, Qatar", "2nd", "4x400 m relay", ""], ["2006", "Asian Games", "Doha, Qatar", "1st", "400 m", ""], ["2001", "World Youth Championships", "Debrecen, Hungary", "4th", "400 m", ""], ["2005", "Asian Championships... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | 128 | Answer: |
Table InputTable: [["Round", "Date", "Home/Away", "Opponent team", "Score", "Scorers"], ["6", "October 4, 2008", "Away", "KS Bylis Ballsh", "0–0", ""], ["24", "March 15, 2009", "Away", "KS Bylis Ballsh", "0–0", ""], ["16", "December 21, 2008", "Away", "KS Flamurtari Vlorë", "2–0", ""], ["10", "November 9, 2008", "Away"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Title", "Time", "Lyrics", "Music", "Producer(s)", "Performer(s)"], ["9", "\"The Harvest\"", "3:53", "Boondox\\nAMB", "Kuma", "Boondox\\nAMB", "Boondox\\nAxe Murder Boyz"], ["12", "\"Red Mist\"", "3:54", "Boondox", "Mike E. Clark", "Boondox", "Boondox\\nBlaze Ya Dead Homie\\nTwiztid"], ["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:... | The Harvest | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints"], ["", "Kelly McCormick (USA)", "516.75", "2", "527.46"], ["18", "Valerie McFarland-Beddoe (AUS)", "401.13", "18", ""], ["21", "Nicole Kreil (AUT)", "382.68", "21", ""], ["19", "Alison Childs (GBR)", "400.68", "19", ""],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 527.46 | 128 | Answer: |
Table InputTable: [["Date", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["August 30", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 2, Home", "Käerjeng", "Stade Maurice Dufrasne, Liège", "1-0"], ["December 19", "Anderlecht", "UEFA Cup", "Group Stage", "Match 4, Away", "Getafe", "Colis... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Number", "Name", "Type", "Livery", "Status", "Notes"], ["33021", "Captain Charles", "Class 33", "Blue", "Operational", "built in 1960. On loan from Tysley"], ["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:... | 1960 | 128 | Answer: |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["3", "Dunlop Townsville 400", "Townsville Street Circuit", "Townsville, Queensland", "10-12 Jul", "James Moffat"], ["6", "Supercheap Auto Bathurst 1000", "Mount Panorama Circuit", "Bathurst, New South Wales", "8-11 Oct", "Jonathon Webb"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: |
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