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: [["Date", "Venue", "Opponents", "Score", "Competition"], ["20 March", "Fukuoka (A)", "Japan", "2–0", "Sanix Cup"], ["20 March", "Fukuoka (A)", "China PR", "1–0", "Sanix Cup"], ["15 October", "Tashkent (N)", "Japan", "2–1", "AFC U-16 Championship (Semifinal)"], ["18 October", "Tashkent (N)", "Iran", "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:... | Syria | 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:... | 25 | 128 | Answer: |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2006", "Chengdu Wuniu", "China", "2", "1", "0"], ["2008", "Jiangsu Sainty", "China", "2", "24", "0"], ["2003", "Shandong Luneng", "China", "1", "4", "0"], ["2005", "Shandong Luneng", "China", "1", "0", "0"], ["2004", "Shandong Luneng", "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:... | 2010 | 128 | Answer: |
Table InputTable: [["Route", "Destinations", "Via", "Frequency\\n(minutes)", "Peak Hours Only", "Former"], ["11", "Kingston Centre\\nCataraqui Town Centre", "Bath Road\\nGardiners Town Centre", "30", "", "(formerly Route 71)"], ["15", "Reddendale\\nCataraqui Town Centre - Woods", "Gardiners Town Centre", "30", "", "(fo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cataraqui Town Centre | 128 | Answer: |
Table InputTable: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2007", "Leonardo Di Lorenzo", "Mauricio Vincello", "Simon Gatti", "Matt Jordan"], ["2006", "Mauricio Vincello", "Gabriel Gervais", "Andrew Weber", "Leonardo Di Lorenzo"], ["2005", "Mauro Biello", "Nevio Pizzolit... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["TNT", "1", "June 17, 1989", "San Juan, Puerto Rico", "Defeats Abudda Dein; vacant on February 9, 1990 when TNT wins the WWC Universal Heavyweight Title"], ["Sean Morley", "2", "May 30, 1996", "Caguas, Puerto Rico", "Joins the WWF in 1997, but i... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Leo Burke | 128 | Answer: |
Table InputTable: [["Position", "Player", "Transferred From", "Date"], ["MF", "Syed Karim", "SAFFC", "1 January 2010"], ["MF", "Guntur Djafril", "SAFFC", "1 January 2010"], ["MF", "Mohd Noor Ali", "Geylang United", "1 January 2010"], ["MF", "Sazali Salleh", "Sengkang Punggol", "1 January 2010"], ["MF", "Rachid Lajane",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Lane", "Nation", "Swimmers", "Time", "Time behind", "Notes"], ["6", "3", "Germany", "Jens Schreiber (1:49.08)\\nHeiko Hell (1:49.15)\\nLars Conrad (1:48.23)\\nChristian Keller (1:50.05)", "7:16.51", "9.18", ""], ["4", "6", "Great Britain", "Simon Burnett (1:47.90)\\nGavin Meadows (1:48.46)\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | 128 | Answer: |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["2014", "1 Dec 2013", "Beaver Creek, USA", "Giant slalom", "3rd"], ["2014", "22 Dec 2013", "Val-d'Isère, France", "Giant slalom", "1st"], ["2013", "1 Mar 2013", "Garmisch, Germany", "Super-G", "1st"], ["2014", "25 Jan 2014", "Cortina d'Ampezzo, ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints"], ["", "Christina Seufert (USA)", "481.41", "5", "517.62"], ["23", "Angela Ribeiro (BRA)", "370.68", "23", ""], ["", "Kelly McCormick (USA)", "516.75", "2", "527.46"], ["18", "Valerie McFarland-Beddoe (AUS)", "401.13", "... | 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:... | 1045.08 | 128 | Answer: |
Table InputTable: [["Year", "Network", "NASCAR\\nCountdown", "Lap-by-lap", "Color commentator(s)", "Pit reporters", "Ratings", "Viewers"], ["2012", "ESPN", "Nicole Briscoe\\nRusty Wallace\\nBrad Daugherty\\nRay Evernham", "Allen Bestwick", "Dale Jarrett\\nAndy Petree", "Dave Burns\\nJamie Little\\nJerry Punch\\nVince W... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 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"], ["12.", "51829", "Nagpur-Agra Pass", "09:41", "09:42", "Daily"], ["25.", "12722", "Daksh... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 25 | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Nationality", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints", "Final\\nRank"], ["27", "Marion Farissier", "France", "221.65", "27", "", ""], ["7", "Sharleen Stratton", "Australia", "282.45", "3", "281.65", "7"], ["12", "Anastasia Pozdniakova", "Russia", "260.00", "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:... | Anastasia Pozdniakova | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["8", "27", "Henri Pescarolo", "March-Ford", "77", "+ 3 Laps", "13", ""], ["7", "22", "John Surtees", "Surtees-Ford", "79", "+ 1 Lap", "10", ""], ["10", "8", "Tim Schenken", "Brabham-Ford", "76", "+ 4 Laps", "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:... | 6 | 128 | Answer: |
Table InputTable: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Netherlands", "2001", "2", "4207", "In 2001 the Netherlands ordered two vessels to serve in the Dutch customs' service. Visarend commissioned in 2001, Zeearend in 2002. now operated by the Dutch Coast Guard"], ["Albania", "2007", "4", "4207", "The Il... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Airport", "Passengers handled", "Change\\n2011/12"], ["1", "London Heathrow", "828,531", "0%"], ["2", "London Gatwick", "607,417", "7%"], ["5", "Belfast International", "266,987", "8%"], ["4", "London Luton", "276,488", "0%"], ["10", "Belfast City", "100,003", "4%"], ["9", "London City", "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:... | London Heathrow | 128 | Answer: |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 19", "at Iowa State*", "", "Cyclone Stadium • Ames, IA (Cy-Hawk Trophy)", "", "L 12-23", "53,922"], ["November 21", "Michigan State", "#19", "Kinnick Stadium • Iowa City, IA", "", "W 36-7", "60,103"], ["November 7", "Pu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name", "Date time (UT)", "Local time zone", "Location", "Elevation + height", "Delivery", "Purpose", "Yield", "Venting", "Notes"], ["Velarde - 2 (with Angus)", "25 April 1973 22:00:25.07", "PST (-8 hrs)", "NTS Area U3jk 36°59′37″N 116°01′18″W / 36.99367°N 116.02173°W", "1,176 m (3,858 ft) - 277 m... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 35 | 128 | Answer: |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["Dan Alon", "Fencing", "Men's foil", "Second round", "W5–L5 (1R 3-2, 2R 2-3)"], ["Yehuda Weissenstein", "Fencing", "Men's foil", "Second round", "W2–L8 (1R 2-3, 2R 0-5)"], ["Eliezer Halfin", "Wrestling", "Freestyle — Lightweight <68 kg", "Group 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:... | 2 | 128 | Answer: |
Table InputTable: [["Vessel", "Captor", "Date", "Location"], ["Albert", "Bainbridge", "June 1845", "Bahia"], ["Independence", "Perry", "13 December 1848", "Rio de Janeiro"], ["Susan", "Perry", "6 February 1849", "Rio de Janeiro"], ["A.D. Richardson", "Perry", "11 December 1848", "Rio de Janeiro"], ["Porpoise", "Raritan... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Perry | 128 | Answer: |
Table InputTable: [["Tour", "Official title", "Venue", "City", "Date\\nStart", "Date\\nFinish", "Prize money\\nUSD", "Report"], ["11", "China Open Super Series", "Tianhe Gymnasium", "Guangzhou", "November 20", "November 25", "250,000", "Report"], ["12", "Hong Kong Super Series", "Ma On Shan Sports Centre\\nQueen Elizab... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | China Open Super Series | 128 | Answer: |
Table InputTable: [["Date", "Location", "Air/Ground", "Number", "Type", "Status"], ["24 April 1944", "South of Munich, Germany", "Air", "3", "Me-110", "Destroyed"], ["13 April 1944", "West of Mannheim, Germany", "Air", "1", "FW-190", "Destroyed"], ["27 November 1944", "South of Magdeburg, Germany", "Air", "4", "FW-190"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 September 1944 | 128 | Answer: |
Table InputTable: [["Year", "Song", "Album", "Position", "Chart"], ["1990", "\"Romeo\"", "Swingin'", "6", "Billboard Hot 100"], ["1991", "\"Gentle\"", "Swingin'", "31", "Billboard Hot 100"], ["1989", "\"I Like It\"", "24/7", "3", "Hot Dance Club Play"], ["1989", "\"Sunshine\"", "24/7", "23", "Billboard Hot 100"], ["198... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Swingin' | 128 | Answer: |
Table InputTable: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Netherlands", "2001", "2", "4207", "In 2001 the Netherlands ordered two vessels to serve in the Dutch customs' service. Visarend commissioned in 2001, Zeearend in 2002. now operated by the Dutch Coast Guard"], ["Qatar", "2014", "6", "5009", "The Qata... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | South Africa, Vietnam | 128 | Answer: |
Table InputTable: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Shippensburg", "2", "Cumberland County", "17257", ""], ["Shippensburg Township", "1", "Cumberland County", "", ""], ["Shippensburg", "2", "Franklin County", "17257", ""], ["Shippen Township", "1", "Came... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Franklin County | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Canada", "1", "–", "3", "4"], ["8", "China", "–", "–", "1", "1"], ["1", "Netherlands", "8", "3", "1", "12"], ["7", "Russia", "–", "1", "1", "2"], ["2", "Australia", "3", "3", "4", "10"], ["6", "Italy", "–", "2", "1", "3"], ["4", "Hungary... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hungary | 128 | Answer: |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["19", "Chris Donnelly", "", "", "", "12", "-", "-", "-", "12"], ["3", "James Phillip", "55", "Honda Prelude Chevrolet", "James Phillip", "26", "28", "28", "30", "112"], ["8", "Mark Trenoweth", "", "Jaguar", "",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 430 | 128 | Answer: |
Table InputTable: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Shamrock", "1", "Somerset County", "", ""], ["Shamrock", "1", "Fayette County", "15401", ""], ["Sadsbury Meeting House", "1", "Lancaster County", "", ""], ["Sandy Hill", "1", "Montgomery County", "19401... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sizerville | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["9", "Ben Hogan", "United States", "75-71-72-72=290", "+2", "125"], ["5", "Gene Sarazen", "United States", "73-66-72-72=283", "–5", "400"], ["T10", "Ed Dudley", "United States", "75-75-69-72=291", "+3", "100"], ["1", "Ralph Guldahl", "U... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Henry Picard | 128 | Answer: |
Table InputTable: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["6", "134*", "Graeme Smith", "South Africa", "124", "2", "India", "25 November 2005", "Won"], ["5", "108*", "Salman Butt", "Pakistan", "130", "2", "India", "13 November 2004", "Won"], ["9", "107", "Virat Kohli",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Graeme Smith | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "3.", "7 June 2011", "Campobasso, Italy", "Clay", "Alizé Lim", "6–2, 6–4"], ["Winner", "4.", "20 June 2011", "Rome, Italy", "Clay", "Laura Thorpe", "6–3, 6–0"], ["Runner-up", "11.", "14 June 2011", "Padova, Italy", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | 128 | Answer: |
Table InputTable: [["Date", "Time", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 29", "7:00 PM", "at #20 Nebraska", "#23", "Memorial Stadium • Lincoln, NE", "ABC", "L 27–30", "85,962"], ["November 10", "11:00 AM", "at Indiana", "", "Memorial Stadium • Bloomington, IN", "ESPN2", "W 62–14", "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:... | 7 | 128 | Answer: |
Table InputTable: [["Team", "No", "Driver", "Class", "Rounds"], ["Mücke Motorsport", "7", "Maciej Bernacik", "R", "All"], ["Josef Kaufmann Racing", "6", "Petri Suvanto", "R", "All"], ["Fortec Motorsport", "26", "Christof von Grünigen", "", "All"], ["Eifelland Racing", "20", "Marc Coleselli", "R", "All"], ["Mücke Motors... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Competition", "Venue", "Position", "Event"], ["2001", "IAAF Grand Prix Final", "Melbourne, Australia", "4th", "3000 m st."], ["1999", "All-Africa Games", "Johannesburg, South Africa", "1st", "3000 m st."], ["1998", "World Cross Country Championships", "Marrakech, Morocco", "8th", "Short rac... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | IAAF Grand Prix Final | 128 | Answer: |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["7 Oct 1950", "Millwall", "H", "2–3", "Moore, Beattie", "13,129"], ["7 Apr 1951", "Reading", "A", "0–5", "", "12,939"], ["24 Feb 1951", "Millwall", "A", "4–2", "Parker, Moore, Shergold, Beattie", "15,788"], ["25 Dec 1950", "Walsall",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Brighton & Hove Albion | 128 | Answer: |
Table InputTable: [["Publication", "Country", "Accolade", "Year", "Rank"], ["NME", "United Kingdom", "All Times Top 100 Albums", "1985", "46"], ["NME", "United Kingdom", "All Times Top 100 Albums + Top 50 by Decade", "1993", "145"], ["Rolling Stone", "United States", "The 500 Greatest Albums of All Time", "2003", "165"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Time Out | 128 | Answer: |
Table InputTable: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS Dance", "Peak chart positions\\nUS Pop", "Peak chart positions\\nUS R&B", "Peak chart positions\\nGER", "Peak chart positions\\nNL", "Peak chart positions\\nNOR", "Peak chart positions\\nNZ", "Peak chart positions\\nSWI", "Peak... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Golfer", "Country", "Wins", "Match Play", "Championship", "Invitational", "Champions"], ["Geoff Ogilvy", "Australia", "3", "2: 2006, 2009", "1: 2008", "—", "—"], ["Ernie Els", "South Africa", "2", "—", "2: 2004, 2010", "—", "—"], ["Phil Mickelson", "United States", "2", "—", "1: 2009", "—", "1: 200... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Geoff Ogilvy | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Club", "Nationality", "Points"], ["15", "Mario Corso", "Internazionale", "Italy", "3"], ["13", "Ferenc Puskás", "Real Madrid", "Spain", "5"], ["17", "Mário Coluna", "Benfica", "Portugal", "2"], ["17", "Amancio Amaro", "Real Madrid", "Spain", "2"], ["3", "Luis Suárez", "Internazional... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Total\\npassengers", "Passenger\\nChange", "Domestic", "International\\n(total)", "International\\n(non-CIS)", "CIS", "Aircraft\\nLandings", "Cargo\\n(tonnes)"], ["2003", "1 335 757", "+12,9%", "879 665", "456 092", "297 421", "158 671", "10 092", "18 054"], ["2002", "1 182 815", "+15,0%", ... | 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:... | 37935 | 128 | Answer: |
Table InputTable: [["Result", "Date", "Category", "Tournament", "Surface", "Partnering", "Opponents", "Score"], ["Winner", "27 November 1983", "$150,000", "Sydney, Australia", "Grass", "Wendy Turnbull", "Hana Mandlíková\\n Helena Suková", "6–4, 6–3"], ["Runner-up", "29 January 1984", "$100,000", "Marco Island, United 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:... | 15 December 1985 | 128 | Answer: |
Table InputTable: [["Position", "Sail Number", "Yacht", "State/Country", "Yacht Type", "LOA\\n(Metres)", "Skipper", "Elapsed Time\\nd:hh:mm:ss"], ["3", "YC1000", "Ausmaid", "SA", "Farr 47", "14.24", "Kevan Pearce", "3:06:02:29"], ["4", "AUS70", "Ragamuffin", "NSW", "Farr 50", "15.15", "Syd Fischer", "3:06:11:29"], ["2"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2008", "Queensland", "", "Katherine", "Cooktown", "New South Wales"], ["2009", "Queensland", "", "Alkupitja", "Tangentyere", "New South Wales"], ["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:... | Alkupitja | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["4", "Adam Małysz", "POL", "127.0", "130.5", "261.5"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["1", "Matti Hautamäki", "FIN", "132.0", "131.5", "274.3"], ["5", "Andreas Kofler", "AUT", "126.5", "132.0", "261.3"], ["11... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Matti Hautamäki | 128 | Answer: |
Table InputTable: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS R&B", "Peak chart positions\\nUS Rap", "Album"], ["\"The Greatest Story Never Told\"", "2011", "—", "—", "—", "The Greatest Story Never Told"], ["\"Best Thing That I Found\"\\n(featuring Lecrae and Corbett)", "2012", "—", "—", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Nr.", "Name", "Area (km²)", "Population (2006)", "Capital", "Club(s)"], ["5", "Giza", "85,153", "6,272,571", "Giza", "Zamalek- Tersana"], ["3", "Cairo", "3,435", "7,786,640", "Cairo", "Al-Ahly - Al Mokawloon - ENPPI - El-Jaish - El-Shorta - Itesalat"], ["6", "Ismailia", "1,442", "942,832", "Ismaili... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6,272,571 | 128 | Answer: |
Table InputTable: [["Cellulose ethers", "Reagent", "Example", "Reagent", "Group R = H or", "Water solubility", "Application", "E number"], ["Alkyl", "Halogenoalkanes", "Methylcellulose", "Chloromethane", "-CH3", "Cold water soluble", "", "E461"], ["", "", "Hydroxypropyl cellulose (HPC)", "Propylene oxide", "-CH2CH(OH)C... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1.", "Brazil", "21", "9", "12", "42"], ["9.", "Argentina", "0", "2", "0", "2"], ["8.", "Russia", "0", "2", "3", "5"], ["7.", "Germany", "0", "5", "1", "6"], ["12.", "Austria", "0", "0", "1", "1"], ["3.", "China", "1", "9", "8", "18"], ["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:... | Brazil | 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 20, 2012", "March 9, 2016", "December 26, 2019", "October 14, 2023", "August 2, 2027"], ["May 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:... | May 20, 2069 | 128 | Answer: |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["October 24", "Minnesota", "#6", "Kinnick Stadium • Iowa City, IA (Floyd of Rosedale)", "ABC", "L 10-12", "60,000"], ["October 10", "Indiana", "#15", "Kinnick Stadium • Iowa City, IA", "", "W 42-28", "60,000"], ["September 26", "#... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Result", "Record", "Opponent", "Points For", "Points Against", "First Downs", "Attendance"], ["9", "November 14", "Loss", "8–1", "St. Louis Cardinals", "17", "24", "16", "64,038"], ["10", "November 20", "Loss", "8–2", "at Pittsburgh Steelers", "13", "28", "20", "49,761"], ["3", "Oct... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["", "Name on the Register", "Date listed", "Location", "City or town", "Summary"], ["3", "County Farm Bridge", "May 21, 1975\\n(#75000237)", "Northwest of Dover on County Farm Rd.\\n43°13′14″N 70°56′38″W / 43.220556°N 70.943889°W", "Dover", "Over Cocheco River"], ["37", "Wiswall Falls Mills Site",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | County Farm Bridge | 128 | Answer: |
Table InputTable: [["Character", "Actor", "Series", "Notes"], ["Dr. Trevor Stewart", "William Armstrong", "Series 1-3", "As well as being a pathologist in his own right, Trevor was Sam's business partner, owning half of the morgue and its facilities. Trevor decided to stay in Cambridge with his friends and family when ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Title", "Year", "Authors", "Publisher", "Pages"], ["The Route to Advanced Communications", "1991", "David Cleevely, Stefan Stanislawski, Ade Ajibulu", "Analysys Publications", "178"], ["ATM Vendor & Operator Strategies", "1993", "David Cleevely, Peter Aknai, Ian Leslie", "Analysis Publications", "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:... | The Far Reaching Effects of Broadband | 128 | Answer: |
Table InputTable: [["Year", "Model", "Denomination", "Metal composition", "Dimensions"], ["1992", "Re-establishment of kroon, 28 August 1992", "100 krooni", ".900 silver", "23 grams (0.81 oz)36 millimetres (1.4 in)"], ["1998", "80th anniversary of declaration of Independence, 1918–1998", "100 krooni", ".925 silver", "2... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["16", "December 20, 1981", "Pittsburgh Steelers", "W 21–20", "41,056"], ["12", "November 22, 1981", "New Orleans Saints", "L 27–24", "49,581"], ["8", "October 26, 1981", "at Pittsburgh Steelers", "L 26–13", "52,732"], ["10", "November 8, 1981", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | October 11, 1981 | 128 | Answer: |
Table InputTable: [["Time", "Wind", "Auto", "Athlete", "Nationality", "Location of race", "Date"], ["20.6y", "", "", "Andy Stanfield", "United States", "Philadelphia, United States", "May 26, 1951"], ["20.6", "", "", "Andy Stanfield", "United States", "Los Angeles, United States", "June 28, 1952"], ["20.6", "", "", "Ma... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Andy Stanfield | 128 | Answer: |
Table InputTable: [["Place", "Code", "Area (km2)", "Population", "Most spoken language"], ["Sekhokho", "91109", "1.24", "1,852", "Northern Sotho"], ["Sekgosese", "91108", "349.99", "46,749", "Northern Sotho"], ["Bochum", "91102", "11.64", "4,142", "Northern Sotho"], ["Manthata", "91105", "12.24", "22,121", "Northern So... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sekgosese | 128 | Answer: |
Table InputTable: [["Polling Firm", "Source", "Date Published", "N.Anastasiades", "G.Lillikas", "S.Malas", "Others"], ["Noverna", "[11]", "2 December 2012", "35.6%", "17.2%", "18.1%", "4.1%"], ["Evresis", "[14]", "22 December 2012", "37.4%", "19.8%", "21.8%", "0.5%"], ["Prime Consulting Ltd", "[12]", "3 December 2012",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Category", "Examples", "Cancers", "Gene functions"], ["Cytoplasmic tyrosine kinases", "Src-family, Syk-ZAP-70 family, and BTK family of tyrosine kinases, the Abl gene in CML - Philadelphia chromosome", "colorectal and breast cancers, melanomas, ovarian cancers, gastric cancers, head and neck cancer... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | mediate the responses to, and the activation receptors of cell proliferation, migration, differentiation, and survival | 128 | Answer: |
Table InputTable: [["Hand", "Auto", "Wind", "Athlete", "Nationality", "Birthdate", "Location", "Date"], ["", "10.90", "", "Thaddeus Bell", "United States", "28.11.1942", "Raleigh", "01.05.1988"], ["10.7", "", "", "Walt Butler", "United States", "21.03.1941", "Northridge", "16.05.1981"], ["10.7", "", "", "Thane Baker", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["2", "Greg Norman", "Australia", "68-67-74-73=282", "+2", "207,000"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["1", "Corey Pavin", "United States", "72-69-71-68=280", "E", "350,000"], ["T4", "Jeff M... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Corey Pavin | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["10", "25", "Nicola Larini", "Ligier-Ford", "62", "+ 2 Laps", "21", ""], ["9", "8", "Stefano Modena", "Brabham-Judd", "62", "+ 2 Laps", "20", ""], ["12", "24", "Paolo Barilla", "Minardi-Ford", "62", "+ 2 Laps", "24", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 19 | 128 | Answer: |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["1994", "16 Mar 1994", "Vail, CO, USA", "Downhill", "3rd"], ["1994", "12 Mar 1994", "Whistler, BC, Canada", "Downhill", "3rd"], ["1994", "29 Dec 1993", "Bormio, Italy", "Downhill", "3rd"], ["1993", "27 Feb 1993", "Whistler, BC, Canada", "Downhil... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2010", "Commonwealth Games", "Delhi, India", "–", "800 m", "DNF"], ["2006", "Lusophony Games", "Macau", "1st", "800 m", "2:07.34"], ["2006", "Commonwealth Games", "Melbourne, Australia", "9th (sf)", "800 m", "2:01.84"], ["2009", "Lusop... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Maputo, Mozambique | 128 | Answer: |
Table InputTable: [["District", "Representative", "Party", "Home Town, County", "Term of Service"], ["86th District", "David T. Daniels", "Republican", "Greenfield, Highland", ""], ["83rd District", "Anthony E. Core", "Republican", "Rushsylvania, Logan", ""], ["71st District", "David R. Evans", "Republican", "Newark, 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:... | Republican | 128 | Answer: |
Table InputTable: [["Name", "Owner", "Location", "Notes", "Transmission", "Website"], ["Rai Radio 2", "RAI", "Rome", "Public; Popular music; Entertainment", "FM, DAB, DVB-T, DVB-S", "http://www.radio2.rai.it"], ["Rai Radio 1", "RAI", "Rome", "Public; News/Talk; Generalist", "FM, MW, DAB, DVB-T, DVB-S", "http://www.radi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Glamour Boy Shane", "1", "April 2, 1999", "Guaynabo, Puerto Rico", "Defeated \"Jungle\" Jim Steele for vacant title."], ["B.J.", "1", "January 6, 2008", "Choliseo, Puerto Rico", "Wins the title after winning an 11 man Battle Royal"], ["Supersta... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chris Joel | 128 | Answer: |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["1", "2", "Paula Radcliffe (GBR)", "15:27.25 Q", ""], ["1", "15", "Kate Anderson (AUS)", "15:36.16 q", ""], ["2", "31", "Jelena Chelnova (LAT)", "16:27.63", ""], ["1", "5", "Roberta Brunet (ITA)", "15:29.03 Q", ""], ["2", "—", "Anne Hare (NZL)", "DNF", ""... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 36 | 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:... | 7 | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["15", "Jarno Janssen", "TSR-Honda", "+56.248", "1"], ["20", "Lucas Oliver Bulto", "Yamaha", "+1:25.758", ""], ["19", "Fonsi Nieto", "Yamaha", "+1:25.622", ""], ["23", "Arno Visscher", "Ap... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Valentino Rossi | 128 | Answer: |
Table InputTable: [["Town name", "County", "Established", "Disestablished", "Current Status", "Remarks"], ["Chetola", "Ellis County", "1886", "1907", "Townsite is now on private property.", ""], ["Indianola", "Shawnee County", "1854", "mid-1860s", "Nothing remains of the site.", "There is an Indianola Road located near... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rome, Yocemento, Smoky Hill City | 128 | Answer: |
Table InputTable: [["Rank", "Player", "Nation", "Club", "Goals"], ["1", "Jhonny Arteaga", "COL", "FC New York", "13"], ["3", "José Angulo", "USA", "Harrisburg City Islanders", "9"], ["2", "Matthew Delicâte", "ENG", "Richmond Kickers", "10"], ["6", "Andrew Welker", "USA", "Harrisburg City Islanders", "8"], ["9", "Sainey... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | 128 | Answer: |
Table InputTable: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["33.", "18237", "Chhatisgarh Express", "23:09", "23:10", "Daily"], ["1.", "18238", "Chhatisgarh Express", "01:23", "01:25", "Daily"], ["29.", "51830", "Agra-Nagpur Pass", "18:04", "18:05", "Daily"], ["12.", "51829", "Nagpu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Recipient", "Nationality", "Profession", "Speech"], ["2005", "William Safire", "United States", "Author, journalist and speechwriter\\n1978 Pulitzer Prize winner", ""], ["1997", "Elie Wiesel", "United States", "Professional writer\\nWinner of the Nobel Peace Prize (1986)", ""], ["2001", "Cy... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Route Number", "Route", "Via", "Operator", "Operation"], ["167", "Debden to Ilford Hainault Street", "Loughton , Barkingside, Gants Hill", "Blue Triangle", "Daily. London Buses service. Times"], ["145", "Leytonstone to Dagenham Asda", "Redbridge , Ilford, Becontree", "Stagecoach London", "Daily. Lo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "4.", "18 June 2011", "Aegon International, United Kingdom", "Grass", "Andreas Seppi", "6–7(5–7), 6–3, 3–5 ret."], ["Runner-up", "3.", "27 February 2011", "International Tennis Championships, United States", "Hard... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2011 | 128 | Answer: |
Table InputTable: [["Episode", "Show #", "Iron Chef", "Challenger", "Challenger specialty", "Secret ingredient(s) or theme", "Winner", "Final score"], ["5", "IA0504", "Cat Cora", "Mark Tarbell", "Seasonal Organic", "Apples", "Mark Tarbell", "50-44"], ["6", "IA0506", "Bobby Flay", "Kurt Boucher", "French-American", "Arc... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Masaharu Morimoto | 128 | Answer: |
Table InputTable: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["1996", "130", "", "", ""], ["1994", "154", "", "", ""], ["1997", "141", "", "", ""], ["1995", "139", "", "", ""], ["1998", "153", "14", "", ""], ["2009", "no data", "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:... | 2001 | 128 | Answer: |
Table InputTable: [["Year", "Film", "Rotten Tomatoes", "Metacritic", "IMDb"], ["2005", "Manderlay", "51%", "46%", "7.4/10"], ["1991", "Europa", "85%", "66%", "7.7/10"], ["2003", "The Five Obstructions", "88%", "79%", "7.5/10"], ["2011", "Melancholia", "77%", "80%", "7.1/10"], ["2003", "Dogville", "70%", "59%", "8.0/10"... | 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:... | 31 | 128 | Answer: |
Table InputTable: [["Country", "Amphibians", "Birds", "Mammals", "Reptile", "Total terrestrial vertebrates", "Vascular plants", "Biodiversity"], ["Honduras", "101", "699", "201", "213", "1214", "5680", "6894"], ["Costa Rica", "183", "838", "232", "258", "1511", "12119", "13630"], ["Guatemala", "133", "684", "193", "236... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Panama | 128 | Answer: |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["2", "13", "Naoko Takahashi (JPN)", "15:32.25 Q", ""], ["2", "14", "Yuko Kawakami (JPN)", "15:32.71 Q", ""], ["1", "4", "Harumi Hiroyama (JPN)", "15:27.75 Q", ""], ["1", "33", "Justine Nahimana (BUR)", "17:21.77", ""], ["2", "24", "Restituta Joseph (TAN)"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["isn", "name", "arrival\\ndate", "departure\\ndate", "notes"], ["82", "Rasul Kudayev", "", "2004-02-27", "Repatriated to Russia on January 3, 2004.[citation needed]\\nReported to have been repatriated on 24 February 2004 with six other Russian men.\\nAlso called \"Abdullah D. Kafkas\"."], ["674", "T... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rasul Kudayev | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1935/36", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1953/54", "N/A", "ASL", "1st", "Champion (no playoff)", "Champion"], ["1952/53", "N/A", "ASL", "6th", "No playoff", "Semifinals"], ["1933/34", "N/A", "ASL", "2n... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["9", "Carlos Cardús", "Honda", "+4.893", "7"], ["15", "Juan Borja", "Honda", "+1:15.769", "1"], ["18", "Bernd Kassner", "Aprilia", "+1:16:464", ""], ["19", "Paolo Casoli", "Gilera", "+1:26.061", ""], ["24", "Alessandro Gramigni", "Gilera", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Carlos Cardús | 128 | Answer: |
Table InputTable: [["Year", "Winner", "Age", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Purse", "Gr"], ["2007", "Scat Daddy", "3", "Edgar Prado", "Todd A. Pletcher", "J. Scatuorchio / M. Tabor", "1-1/8", "1:49.00", "$1,000,000", "I"], ["1968", "Forward Pass", "3", "Don Brumfield", "Henry Forrest", "Ca... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1:49.00 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2012", "European Championships", "Helsinki, Finland", "–", "NM"], ["2006", "European Championships", "Gothenburg, Sweden", "5th", "5.65 m"], ["2007", "European Indoor Championships", "Birmingham, United Kingdom", "16th (q)", "5.40 m"], ["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:... | Bydgoszcz, Poland | 128 | Answer: |
Table InputTable: [["Date", "Location", "Air/Ground", "Number", "Type", "Status"], ["27 November 1944", "South of Magdeburg, Germany", "Air", "4", "FW-190", "Destroyed"], ["13 September 1944", "South of Nordhausen, Germany", "Air", "2.5", "Me-109", "Destroyed"], ["13 April 1944", "West of Mannheim, Germany", "Air", "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:... | Germany | 128 | Answer: |
Table InputTable: [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["Charles S. Price", "Steamer", "Lake Huron", "near Port Huron, Michigan", "28 lost"], ["Plymouth", "Barge", "Lake Michigan", "", "7 lost"], ["Henry B. Smith", "Steamer", "Lake Superior", "", "all hands"], ["James Carruthers", "Steamer", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Charles S. Price | 128 | Answer: |
Table InputTable: [["Year", "Recipient", "Nationality", "Profession", "Speech"], ["1997", "Elie Wiesel", "United States", "Professional writer\\nWinner of the Nobel Peace Prize (1986)", ""], ["2005", "William Safire", "United States", "Author, journalist and speechwriter\\n1978 Pulitzer Prize winner", ""], ["2001", "Cy... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | 128 | Answer: |
Table InputTable: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["8", "8", "Special FX-Ation", "January 24, 1999", "108"], ["4", "4", "Close Encounters", "November 15, 1998", "104"], ["11", "11", "JB's Big Break", "February 21, 1999", "111"], ["1", "1", "Going Up!", "October ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | 128 | Answer: |
Table InputTable: [["School", "Season", "Record", "Conference Record", "Place", "Postseason"], ["Illinois", "1913–14", "9–4", "7–3", "3rd", ""], ["Illinois", "1912–20", "85–34", "64–31", "–", ""], ["Illinois", "1915–16", "13–3", "9–3", "T2nd", ""], ["Illinois", "1912–13", "10–6", "7–6", "5th", ""], ["Illinois", "1919–2... | 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", "Competition", "Venue", "Position", "Event", "Notes"], ["2008", "Olympic Games", "Beijing, China", "40th (h)", "200 m", "21.00"], ["2009", "World Championships", "Berlin, Germany", "25th (qf)", "200 m", "20.97"], ["2009", "Asian Championships", "Guangzhou, China", "1st", "200 m", "21.07"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pan Arab Games | 128 | Answer: |
Table InputTable: [["Round", "Round", "Race", "Date", "Pole Position", "Fastest Lap", "Winning Club", "Winning Team", "Report"], ["1", "R2", "Donington Park", "August 31", "", "PSV Eindhoven", "Sevilla FC", "GTA Motor Competición", "Report"], ["2", "R2", "Nürburgring", "September 21", "", "SC Corinthians", "PSV Eindhov... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Zakspeed | 128 | Answer: |
Table InputTable: [["#", "Directed By", "Written By", "Original Air Date"], ["14", "Ken Horn", "Neil McKay", "January 25, 1998"], ["12", "Ken Horn", "David Humphries", "January 11, 1998"], ["13", "John Reardon", "Simon J. Sharkey", "January 18, 1998"], ["6", "John Reardon", "Neil McKay", "November 2, 1997"], ["8", "Dou... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Frank W. Smith | 128 | Answer: |
Table InputTable: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Barahona", "Lucía Magdalena Alvarado Suarez", "20", "1.71", "Santo Domingo"], ["Santo Domingo", "Yisney Lina Lagrange Méndez", "19", "1.82", "Pedro Brand"], ["Distrito Nacional", "Aimeé Elaine Melo Hernández", "23", "1.73", "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:... | 0.17 | 128 | Answer: |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2006/07", "KSV Roeselare", "Jupiler League", "29", "1"], ["2007/08", "KSV Roeselare", "Jupiler League", "25", "0"], ["2008/09", "Excelsior Mouscron", "Jupiler League", "31", "1"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["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:... | 4 | 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:... | San Francisco 49ers | 128 | Answer: |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2013", "Mnet Pre-Grammy Awards", "Mnet Rising Star", "Herself", "Won"], ["2012", "So-Loved Awards", "Best Female Newcomer", "Herself", "Won"], ["2013", "15th Mnet Asian Music Awards", "Best Female Artist", "Herself", "Nominated"], ["2013", "15th... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2013 | 128 | Answer: |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["20 March", "Fukuoka (A)", "China PR", "1–0", "Sanix Cup"], ["20 March", "Fukuoka (A)", "Japan", "2–0", "Sanix Cup"], ["8 August", "Toyota (N)", "Brazil", "0–0", "Toyota Cup"], ["15 October", "Tashkent (N)", "Japan", "2–1", "AFC U-16 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:... | 9 | 128 | Answer: |
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