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: [["Rank", "Player", "County", "Tally", "Total", "Opposition"], ["1", "Francis Forde", "Galway", "2–8", "14", "Roscommon"], ["3", "Kevin Broderick", "Galway", "3–1", "10", "New York"], ["9", "Francis Forde", "Galway", "1–5", "8", "New York"], ["6", "Seán McLoughlin", "Westmeath", "1–6", "9", "Carlow"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Galway | 128 | Answer: |
Table InputTable: [["Year", "Award", "Film", "Result"], ["1976", "Best Actress", "Le Sauvage", "Nominated"], ["1994", "Best Actress", "Ma saison préférée", "Nominated"], ["1981", "Best Actress", "Le Dernier métro", "Won"], ["1993", "Best Actress", "Indochine", "Won"], ["1982", "Best Actress", "Hôtel des Amériques", "No... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["18 October", "Tashkent (N)", "Iran", "1–2", "AFC U-16 Championship (Final)"], ["15 October", "Tashkent (N)", "Japan", "2–1", "AFC U-16 Championship (Semifinal)"], ["12 October", "Tashkent (A)", "Uzbekistan", "3–0", "AFC U-16 Championship (Quar... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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/Torneo", "Jornada or Other", "Home Team", "Result", "Away Team", "Stadium", "Date"], ["1984–1985 season", "32", "Chivas", "0–0", "América", "Estadio Jalisco", "24 March 1985"], ["1986–1987 season", "3", "América", "1–0", "Chivas", "Estadio Azteca", "17 August 1986"], ["1984–1985 season", "Qu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | America | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Site", "Result"], ["November 13", "Florida", "Cramton Bowl • Montgomery, AL", "W 49–0"], ["October 23", "Sewanee", "Rickwood Field • Birmingham, AL", "W 2–0"], ["January 1, 1927", "vs. Stanford*", "Rose Bowl • Pasadena, CA (Rose Bowl)", "T 7–7"], ["November 6", "Kentucky", "Rick... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Stanford | 128 | Answer: |
Table InputTable: [["Games", "Athletes", "Gold", "Silver", "Bronze", "Total", "Rank"], ["2004 Athens", "10", "2", "4", "0", "6", "42"], ["1992 Barcelona", "5", "0", "0", "0", "0", "–"], ["1988 Seoul", "14", "0", "0", "1", "1", "48"], ["2008 Beijing", "18", "4", "1", "2", "7", "32"], ["2000 Sydney", "7", "0", "0", "0", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2008 | 128 | Answer: |
Table InputTable: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["33.", "18237", "Chhatisgarh Express", "23:09", "23:10", "Daily"], ["3.", "51294", "Amla-Nagpur Pass", "06:39", "06:40", "Daily"], ["29.", "51830", "Agra-Nagpur Pass", "18:04", "18:05", "Daily"], ["1.", "18238", "Chhatisga... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Recipient", "Nationality", "Profession", "Speech"], ["2008", "David Be'eri, Mordechai Eliav, Rabbi Yehuda Maly", "Israel", "", ""], ["1997", "Elie Wiesel", "United States", "Professional writer\\nWinner of the Nobel Peace Prize (1986)", ""], ["2009", "Caroline Glick", "Israel", "Journalist"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sir Martin Gilbert | 128 | Answer: |
Table InputTable: [["#", "Title", "Time", "Lyrics", "Music", "Producer(s)", "Performer(s)"], ["3", "\"Out Here\"", "3:18", "Boondox", "Mike E. Clark\\nTino Grosse", "Boondox", "Boondox"], ["12", "\"Red Mist\"", "3:54", "Boondox", "Mike E. Clark", "Boondox", "Boondox\\nBlaze Ya Dead Homie\\nTwiztid"], ["4", "\"It Ain'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:... | 3 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2003", "All-Africa Games", "Abuja, Nigeria", "5th", "Shot put", "17.76 m"], ["2006", "Commonwealth Games", "Melbourne, Australia", "7th", "Shot put", "18.44 m"], ["2004", "African Championships", "Brazzaville, Republic of the Congo", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Addis Ababa, Ethiopia | 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"], ["2", "August 13, 1988", "St. Louis, Missouri", "Jamaica", "2–1", "5-1", "1990 World Cup qualifying"], ["10", "December... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | El Salvador | 128 | Answer: |
Table InputTable: [["Specifications", "Foundation", "Essentials", "Standard", "Datacenter"], ["Virtualization rights", "N/A", "Either in 1 VM or 1 physical server, but not both at once", "2 VMs", "Unlimited"], ["Windows Server Update Services", "No", "Yes", "Yes", "Yes"], ["Licensing model", "Per server", "Per server",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Datacenter | 128 | Answer: |
Table InputTable: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["6", "Lord Great Chamberlain", "The Marquess of Cholmondeley", "Lord High Treasurer", "Lord Chamberlain"], ["3", "Lord High Treasurer", "in commission", "", ""], ["1", "Lord High Steward", "vacant", "Justiciar", "Lord 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: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["3", "Lord High Treasurer", "in commission", "", ""], ["4", "Lord President of the Council", "The Rt Hon Nick Clegg, MP", "", ""], ["1", "Lord High Steward", "vacant", "Justiciar", "Lord Steward"], ["7", "Lord High Cons... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lord High Treasurer | 128 | Answer: |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2009", "Queensland", "", "Alkupitja", "Tangentyere", "New South Wales"], ["2012", "Queensland", "New South Wales", "", "", ""], ["2004", "Queensland", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Year", "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"], ["1992", "Technology", "3", "Jerry Bailey", "Hubert Hine", "Scott 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:... | Scat Daddy | 128 | Answer: |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2010", "12 Mar 2010", "Garmisch, Germany", "Giant Slalom", "", "", "", ""], ["2009", "13 Dec 2008", "Val d'Isère, France", "Giant slalom", "", "", "", ""], ["2010", "6 Dec 2009", "Beaver Creek, USA", "Giant... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 years | 128 | Answer: |
Table InputTable: [["Year", "Film", "Rotten Tomatoes", "Metacritic", "IMDb"], ["1998", "The Idiots", "70%", "47%", "6.9/10"], ["2006", "The Boss of It All", "74%", "71%", "6.7/10"], ["2000", "Dancer in the Dark", "68%", "61%", "8.0/10"], ["2003", "Dogville", "70%", "59%", "8.0/10"], ["1984", "The Element of Crime", "77... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Roland Gutierrez", "D", "San Antonio", "119"], ["Trey Martinez Fischer", "D", "San Antonio", "116"], ["Jose Menendez", "D", "San Antonio", "124"], ["Joe Farias", "D", "San Antonio", "118"], ["Philip Cortez", "D", "San Antonio", "117"], ["Ly... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Joe Straus | 128 | Answer: |
Table InputTable: [["Atomic\\nno.", "Name", "Symbol", "Group", "Period", "Block", "State at\\nSTP", "Occurrence", "Description"], ["87", "Francium", "Fr", "1", "7", "s", "Solid", "Transient", "Alkali metal"], ["95", "Americium", "Am", "3", "7", "f", "Solid", "Transient", "Actinide"], ["88", "Radium", "Ra", "2", "7", "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:... | 14 | 128 | Answer: |
Table InputTable: [["Game", "Day", "Date", "Kickoff", "Opponent", "Results\\nScore", "Results\\nRecord", "Location", "Attendance"], ["1", "Sunday", "November 10", "3:05pm", "at Las Vegas Legends", "L 3–7", "0–1", "Orleans Arena", "1,836"], ["10", "Sunday", "January 12", "1:05pm", "Las Vegas Legends", "W 10–7", "5–5", "... | 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:... | Monterrey Flash | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Club", "Nationality", "Points"], ["11", "Denis Law", "Manchester United", "Scotland", "8"], ["13", "Jim Baxter", "Sunderland", "Scotland", "5"], ["5", "Bobby Charlton", "Manchester United", "England", "19"], ["13", "Ferenc Puskás", "Real Madrid", "Spain", "5"], ["3", "Luis Suárez", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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:... | Tiger Woods | 128 | Answer: |
Table InputTable: [["Party", "Candidate", "Votes", "%", "∆%", "Expenditures"], ["Progressive Conservative", "Bryan McLeod", "1,470", "22.16", "+7.76", "$2,732.56"], ["New Democratic Party", "Daryl Reid", "4,560", "68.74", "-0.74", "$19,318.05"], ["Liberal", "Gerald Basarab", "604", "9.10", "-7.02", "$848.80"], ["Turnou... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3090 | 128 | Answer: |
Table InputTable: [["Year", "Model", "Denomination", "Metal composition", "Dimensions"], ["1996", "Atlanta Olympics, 100th anniversary of Modern Olympiad", "100 krooni", ".925 silver", "25 grams (0.88 oz)38 millimetres (1.5 in)"], ["1992", "Re-establishment of kroon, 28 August 1992", "100 krooni", ".900 silver", "23 gr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Atlanta Olympics, 100th anniversary of Modern Olympiad | 128 | Answer: |
Table InputTable: [["School", "2007", "2008", "2009", "2010", "2011"], ["James A. Garfield High School", "553", "597", "593", "632", "705"], ["Francisco Bravo Medical Magnet High School", "807", "818", "815", "820", "832"], ["Woodrow Wilson High School", "582", "585", "600", "615", "636"], ["Thomas Jefferson High Schoo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Francisco Bravo Medical Magnet High School | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2009", "World Championships", "Berlin, Germany", "3rd", "74.79 m"], ["2009", "World Student Games", "Belgrade, Serbia", "2nd", "72.85 m"], ["2009", "World Athletics Final", "Thessaloniki, Greece", "3rd", "70.45 m"], ["1999", "World Youth Champi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Thessaloniki, Greece | 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"], ["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:... | AFR Midnight Rambler | 128 | Answer: |
Table InputTable: [["Tablet", "Genealogy", "Narrative", "Colophon"], ["", "no genealogy", "37:2 to 50:26", "no colophon"], ["5", "Descendants of Shem, Ham, and Japeth 10:1 - 32", "11:1 - 9", "\"This is the account of Shem.\" 11:10"], ["10", "Descendants of Esau 36:2 - 5", "36:6 - 8", "\"This is the account of Esau.\" 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:... | Creation of Universe 1:1 | 128 | Answer: |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["16 Oct 1920", "Millwall", "A", "0–1", "", "20,000"], ["9 Oct 1920", "Millwall", "H", "3–1", "Devlin 2, Walker", "14,000"], ["11 Dec 1920", "Watford", "A", "1–5", "Wright", "7,000"], ["1 Sep 1920", "Bristol Rovers", "A", "2–3", "Walk... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 34000 | 128 | Answer: |
Table InputTable: [["Rank", "Athlete", "Nationality", "2.15", "2.20", "2.24", "2.27", "Result", "Notes"], ["1.", "Víctor Moya", "Cuba", "o", "o", "o", "o", "2.27", "q, PB"], ["1.", "Yaroslav Rybakov", "Russia", "o", "o", "o", "o", "2.27", "q"], ["16.", "Roman Fricke", "Germany", "o", "xxx", "", "2.15", "", ""], ["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:... | Cuba | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "World Cup", "Athens, Greece", "7th", "400 m", ""], ["2001", "World Youth Championships", "Debrecen, Hungary", "4th", "400 m", ""], ["2006", "Asian Games", "Doha, Qatar", "1st", "400 m", ""], ["2005", "Asian Championships", "Inc... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2006 | 128 | Answer: |
Table InputTable: [["#", "Name", "Height", "Weight (lbs.)", "Position", "Class", "Hometown", "Previous Team(s)"], ["22", "Justin Holiday", "6'6\"", "170", "F", "Fr.", "Chatsworth, CA, U.S.", "Campbell Hall School"], ["20", "Ryan Appleby", "6'3\"", "170", "G", "Sr.", "Stanwood, WA, U.S.", "Florida"], ["5", "Justin Dentm... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Competition", "Venue", "Position", "Event"], ["2001", "IAAF Grand Prix Final", "Melbourne, Australia", "4th", "3000 m st."], ["2004", "World Athletics Final", "Monte Carlo, Monaco", "4th", "3000 m st."], ["", "IAAF Grand Prix Final", "Munich, Germany", "4th", "3000 m st."], ["1998", "World ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["1994–1999", "Sister, Sister", "Tamera Campbell", "119 episodes"], ["2006–2007", "Family Guy", "Esther", "Voice\\n3 episodes"], ["2011–2013", "Tia & Tamera", "Herself", "Executive producer"], ["2000", "How I Loved a Macho Boy", "Jamal Santos", "3 episodes"], ["199... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Band", "Disc/Song", "Released", "Disc Description", "Disk Size", "Image"], ["Red Box", "Lean On Me b/w Stinging Bee", "1985", "Hexagonal red vinyl. Looks like a red box in 2D; flipside is a band photo.", "7\"", ""], ["U2", "The Unforgettable Fire (single)", "1985", "Shaped as letter & number \"U2\"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1985 | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air date", "Rating", "Share", "18-49 (Rating/Share)", "Viewers (m)", "Rank (night)", "Rank (timeslot)", "Rank (overall)"], ["2", "\"Train In Vain\"", "October 19, 2007", "6.5", "12", "2.0/6", "9.69", "#2", "#1", "#37"], ["9", "\"To Drag & To Hold\"", "December 7, 2007", "5.8", "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:... | 5 | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1939/40", "N/A", "ASL", "2nd(t)", "No playoff", "Co-champion"], ["1945/46", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1934/35", "N/A", "ASL", "6th", "No playoff", "?"], ["1935/36", "N/A", "ASL", "2nd", "No playof... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Location", "Reactor type", "Status", "Net\\nCapacity\\n(MWe)", "Gross\\nCapacity\\n(MWe)"], ["Chernobyl-2", "RBMK-1000", "shut down in 1991", "925", "1,000"], ["Chernobyl-1", "RBMK-1000", "shut down in 1996", "740", "800"], ["Chernobyl-3", "RBMK-1000", "shut down in 2000", "925", "1,000"], ["Cherno... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chernobyl-2 | 128 | Answer: |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Lyle Larson", "R", "San Antonio", "122"], ["Trey Martinez Fischer", "D", "San Antonio", "116"], ["Ruth McClendon", "D", "San Antonio", "120"], ["Joe Farias", "D", "San Antonio", "118"], ["Joe Straus", "R", "San Antonio", "121"], ["Justin Ro... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Joe Straus | 128 | Answer: |
Table InputTable: [["Conference", "# of Bids", "Record", "Win %", "Round\\nof 32", "Sweet\\nSixteen", "Elite\\nEight", "Final\\nFour", "Championship\\nGame"], ["Big Ten", "5", "9–5", ".643", "4", "2", "2", "1", "–"], ["Western Athletic", "1", "1–1", ".500", "1", "–", "–", "–", "–"], ["Big Eight", "4", "3–4", ".429", "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:... | 1 | 128 | Answer: |
Table InputTable: [["District\\nbalance\\n[clarification needed]", "Area\\nkm2", "Area\\nsq mi", "Pop.\\n1998", "Pop.\\n2008", "Pop./km²\\n2008"], ["Jamestown", "3.6", "1.4", "884", "714", "198.3"], ["Jamestown\\nHarbour", "–", "–", "20", "9", "–"], ["Saint Paul's", "11.4", "4.4", "908", "795", "69.7"], ["Total", "121.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Time", "Wind", "Auto", "Athlete", "Nationality", "Location of race", "Date"], ["20.6", "", "", "Manfred Germar", "West Germany", "Wuppertal, Germany", "October 1, 1958"], ["20.5y", "", "", "Peter Radford", "United Kingdom", "Wolverhampton, United Kingdom", "May 28, 1960"], ["20.6", "", "20.75", "Bo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Manfred Germar | 128 | Answer: |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-32", "30 November 1918", "15 March 1919", "4 September 1919", "In service during WWII\\nSold 3 March 1947"], ["PE-27", "22 October 1918", "1 March 1919", "14 July 1919", "In service during WWII\\nSold 4 June 1946"], ["PE-57", "25 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["T4", "Jeff Maggert", "United States", "69-72-77-66=284", "+4", "66,633"], ["1", "Corey Pavin", "United States", "72-69-71-68=280", "E", "350,000"], ["T4", "B... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Corey Pavin | 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"], ["\"Clap\"\\n(featurin... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["\\nReading", "Year 1\\n2013, 2016, 2019, 2022 . . .\\n6:2–7:7", "Year 2\\n2014, 2017, 2020, 2023 . . .\\n7:8–8:15", "Year 3\\n2015, 2018, 2021, 2024 . . .\\n8:16–9:35"], ["7", "6:29–7:7", "8:12–15", "9:27–35"], ["2", "6:6–9", "7:14–18", "8:24–28"], ["Maftir", "7:5–7", "8:12–15", "9:33–35"], ["3", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["decimal32", "decimal64", "decimal128", "decimal(32k)", "Format"], ["96", "384", "6144", "Emax = 3×2w−1", "Largest value is 9.99...×10Emax"], ["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",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Exponent range | 128 | Answer: |
Table InputTable: [["Year", "Name", "Year", "Name", "Year", "Name"], ["1908-09", "Mr T.R.Ziervogel", "1940-41", "Mr P.Venter", "1972-73", "Mr Ben Steyn"], ["1904-05", "Mr B. Owen- Jones", "1936-37", "Mr W.Pearce", "1968-69", "Mr Ben Steyn"], ["1925-26", "Mr S.Steenberg", "1957- 58", "", "1990-91", "Mr Gerrie Wolmarans"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mr Issy Kramer | 128 | Answer: |
Table InputTable: [["Pick #", "NFL Team", "Player", "Position", "College"], ["11", "Chicago Bears", "Ron Drzewiecki", "Halfback", "Marquette"], ["8", "New York Giants", "Joe Heap", "Halfback", "Notre Dame"], ["6", "Pittsburgh Steelers", "Frank Varrichione", "Tackle", "Notre Dame"], ["3", "Baltimore Colts", "Alan Ameche... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Topic", "Cost", "Target age", "Advertising"], ["IXL", "Math", "$80/year", "4-12", "?"], ["Smartygames.com", "Math Games, Reading, Art, Word Scramble, Spanish, Puzzles, Kids Sudoku and more", "Free", "2-9", "None"], ["LearnAlberta.ca", "Everything (mainly aimed at teachers)", "Free", "5-18",... | 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:... | 1 | 128 | Answer: |
Table InputTable: [["Pick #", "NFL Team", "Player", "Position", "College"], ["8", "New York Giants", "Joe Heap", "Halfback", "Notre Dame"], ["6", "Pittsburgh Steelers", "Frank Varrichione", "Tackle", "Notre Dame"], ["4", "Washington Redskins", "Ralph Guglielmi", "Quarterback", "Notre Dame"], ["5", "Green Bay Packers", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["#", "Name", "Height", "Weight (lbs.)", "Position", "Class", "Hometown", "Previous Team(s)"], ["22", "Justin Holiday", "6'6\"", "170", "F", "Fr.", "Chatsworth, CA, U.S.", "Campbell Hall School"], ["5", "Justin Dentmon", "5'11\"", "185", "G", "Jr.", "Carbondale, IL, U.S.", "Winchendon School"], ["32"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Artem Wallace | 128 | Answer: |
Table InputTable: [["Hull", "Type", "Original Name", "Original Operator", "Delivery", "Disposition (2012)", "2nd name", "2nd operator", "3rd Name", "3rd operator"], ["№ 5", "929-117", "Nagasaki", "JR Kyushu Jet Ferries", "Apr 1990", "Active", "Beetle 1", "JR Kyushu Jet Ferries", "", ""], ["№ 8", "929-117", "Beetle 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:... | Kyushu Yusen | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["2013", "The Real", "Herself", "Host"], ["1996", "All That", "Herself", ""], ["2011", "Access Hollywood Live", "Herself", "Co-host"], ["2011–2013", "Tia & Tamera", "Herself", "Executive producer"], ["1994–1999", "Sister, Sister", "Tamera Campbell", "119 episodes"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Shooter", "5 pts", "4 pts", "3 pts", "2 pts", "1 pts", "0 pts", "Total", "Rank"], ["3", "United States (USA)", "7", "17", "13", "3", "-", "-", "148", ""], ["4", "Great Britain (GBR)", "8", "9", "18", "3", "-", "2", "136", ""], ["3", "Dennis Fenton", "1", "2", "5", "2", "-", "-", "32", "16"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 148 | 128 | Answer: |
Table InputTable: [["Name", "Title", "Date from", "Date until", "Russian state", "Austrian state"], ["Dmitry Pavlovich Tatishchev", "Ambassador", "22 August 1826", "11 September 1841", "Russian Empire", "Austrian Empire"], ["Yury Aleksandrovich Golovkin", "Envoy", "9 November 1818", "16 September 1822", "Russian Empire... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dmitry Mikhailovich Golitsyn | 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, 2031", "March 9, 2035", "December 26, 2038", "October 14, 2042", "August 2, 2046"], ["May 20, 2050", "March 9, 2054", "December 26, 2057", "October 13, 2061", "August 2, 2065"], ["148", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 124 | 128 | Answer: |
Table InputTable: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["3", "100*", "Sachin Tendulkar", "India", "103", "2", "Kenya", "31 May 1998", "Won"], ["9", "107", "Virat Kohli", "India", "114", "2", "Sri Lanka", "24 December 2009", "Won"], ["6", "134*", "Graeme Smith", "Sout... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | India | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Engine", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["9", "98", "Alex Tagliani", "Team Barracuda – BHA", "Honda", "85", "+ 39.6868", "8", "0", "22"], ["3", "10", "Dario Franchitti", "Chip Ganassi Racing", "Honda", "85", "+ 1.0497", "6", "0", "35"], ["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:... | more | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["2012", "Louco por Elas", "Giovanna Bianchi", ""], ["2001", "A Padroeira", "Cecília de Sá", ""], ["2013", "A Grande Família", "Bianca", "Cameo"], ["1999", "Terra Nostra", "Hannah", "Cameo"], ["2011", "Insensato Coração", "Natalie Lamour", ""], ["2002", "O Beijo do... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1990 | 128 | Answer: |
Table InputTable: [["Common name", "Binomial nomenclature", "Colour", "Density ¹", "Location", "Characteristics, Usage and Status"], ["Deodar", "Cedrus deodara", "Yellowish brown", "560 kg/m³", "Himalayas, Punjab, Uttar Pradesh", "Deodar is the most important timber tree providing soft wood. It can be easily worked and... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tamarind | 128 | Answer: |
Table InputTable: [["Year", "Record", "Finish", "Manager", "Playoffs"], ["1966", "63-84", "10th", "George Case", ""], ["1965", "75-72", "6th (t)", "George Case", ""], ["1976", "77-68", "2nd", "Roy Hartsfield", "League Champs"], ["1977", "79-67", "2nd", "Dick Phillips", "Lost League Finals"], ["1984", "87-53", "1st", "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:... | Bob Lemon | 128 | Answer: |
Table InputTable: [["#", "Massif", "Region", "Type of nature reserve", "Preserved area", "Buffer zone"], ["1", "Chornohora", "Zakarpattia", "Carpathian Biosphere Reserve", "2476.8 ha", "12925 ha"], ["5", "Kuziy / Trybushany", "Zakarpattia", "Carpathian Biosphere Reserve", "1369.6 ha", "3163.4 ha"], ["4", "Maramoros", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Presov | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["8", "October 26, 1981", "at Pittsburgh Steelers", "L 26–13", "52,732"], ["7", "October 18, 1981", "at New England Patriots", "L 38–10", "60,474"], ["5", "October 4, 1981", "Cincinnati Bengals", "W 17–10", "44,350"], ["6", "October 11, 1981", "Se... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 200,227 | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Name", "Country", "Time", "Time behind"], ["9", "18", "Casey FitzRandolph", "United States", "1:09.59", "+0.70"], ["25", "10", "Janne Hänninen", "Finland", "1:10.83", "+1.94"], ["22", "10", "Lee Kang-seok", "South Korea", "1:10.52", "+1.63"], ["", "20", "Joey Cheek", "United States"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | 128 | Answer: |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2007", "New South Wales", "", "Alkupitja", "Cat Tigers", "CGA Cougars"], ["2006", "Queensland", "", "Alice Springs", "Melville Island", "Darwin"], ["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:... | Cat Tigers | 128 | Answer: |
Table InputTable: [["Party", "Candidate", "Votes", "%", "∆%", "Expenditures"], ["Progressive Conservative", "Bryan McLeod", "1,470", "22.16", "+7.76", "$2,732.56"], ["Turnout", "Turnout", "6,668", "48.75", "+0.21", ""], ["Total valid votes", "Total valid votes", "6,634", "100.00", "", ""], ["Liberal", "Gerald Basarab",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1,470 | 128 | Answer: |
Table InputTable: [["Divisions", "Prize (EUR)", "Odds of winning (1 in)", "Number of winning tickets", "In order to win"], ["Sub", "180.00", "2,000", "2", "Nearest number to 1st prize"], ["Sub", "180.00", "2,000", "2", "Nearest number to 2nd prize"], ["Sub", "180.00", "2,000", "2", "Nearest number to 3rd prize"], ["All... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 565 | 128 | Answer: |
Table InputTable: [["Date", "Location", "Opponent", "Result", "Competition"], ["July 15, 2013", "Houston, United States", "El Salvador", "0-1", "GC"], ["July 8, 2013", "Harrison, United States", "Honduras", "0–2", "GC"], ["March 20, 2013", "Muscat, Oman", "Oman", "0–3", "F"], ["July 12, 2013", "Miami Gardens, United St... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 19, 2013 | 128 | Answer: |
Table InputTable: [["Polling Firm", "Source", "Date Published", "N.Anastasiades", "G.Lillikas", "S.Malas", "Others"], ["Prime Consulting Ltd", "[20]", "9 February 2013", "40.6%", "19.6%", "20.4%", "2.9%"], ["Prime Consulting Ltd", "[19]", "4 February 2013", "39.8%", "19.3%", "20%", "3%"], ["Prime Consulting Ltd", "[17]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["No", "Driver", "Entrant", "Constructor", "Chassis", "Engine"], ["26", "Emil Frankl", "Private entry", "Steyr", "Steyr 4.5 Liter", "4.5 L6"], ["14", "Fritz Caflisch", "Private entry", "Mercedes-Benz", "Mercedes-Benz SS", "7.1 L6"], ["34", "Cesare Pastore", "Private entry", "Maserati", "Maserati 26B"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | 128 | Answer: |
Table InputTable: [["Year", "Result", "Award", "Film"], ["2012", "Won", "WWE Slammy Award Top Social Media Ambassador", "WWE Raw"], ["2006", "Won", "Golden Icon Award Best Actor - Comedy Series", "Two and a Half Men"], ["2008", "Nominated", "Outstanding Lead Actor - Comedy Series", "Two and a Half Men"], ["2010", "Nomi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Won | 128 | Answer: |
Table InputTable: [["Town name", "County", "Established", "Disestablished", "Current Status", "Remarks"], ["Ray", "Pawnee County", "", "", "Most of the houses were demolished or moved in the 1950s. The old Co-op remains and still bears the town name. Large berm south of the co-op is what is left from the demolition 38.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["149", "Rick Zombo", "Defence", "United States", "Detroit Red Wings", "Austin Mavericks (USHL)"], ["162", "Dale DeGray", "Defence", "Canada", "Calgary Flames", "Oshawa Generals (OMJHL)"], ["161", "Armel Parisee"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bill Dowd | 128 | Answer: |
Table InputTable: [["#", "Player", "Goals", "Caps", "Career"], ["6T", "Jozy Altidore", "21", "67", "2007–present"], ["1", "Landon Donovan", "57", "155", "2000–present"], ["8", "Eddie Johnson", "19", "62", "2004–present"], ["2", "Clint Dempsey", "36", "103", "2004–present"], ["3", "Eric Wynalda", "34", "106", "1990–2000... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 67 | 128 | Answer: |
Table InputTable: [["Rank", "City", "Passengers", "Top Carriers"], ["5", "Dallas/Fort Worth, TX", "488,000", "American, United"], ["10", "Phoenix, AZ", "393,000", "United, US Airways"], ["8", "Charlotte, NC", "441,000", "United, US Airways"], ["9", "Atlanta, GA", "400,000", "Delta, United"], ["2", "Chicago, IL", "673,0... | 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:... | Denver, CO | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs"], ["2007", "1", "USL W-League", "5th, Western", ""], ["2013", "1", "USL W-League", "4th, Western", "Did not qualify"], ["2006", "1", "USL W-League", "5th, Western", ""], ["2004", "1", "USL W-League", "8th, Western", ""], ["2008", "1", "USL W-Le... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | 128 | Answer: |
Table InputTable: [["Locomotive", "Name", "Serial No", "Entered Service", "Livery"], ["9029", "-", "1401/918266/29", "Aug 94", "FreightCorp"], ["9028", "-", "1400/918266/28", "Aug 94", "FreightCorp"], ["9031", "-", "1403/918266/31", "Aug 94", "FreightCorp"], ["9027", "-", "1399/918266-27", "Aug 94", "FreightCorp"], ["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:... | 34 | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Name", "Position", "College"], ["3", "87", "Dustin Lyman", "TE", "Wake Forest"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["7", "254", "Michael Green", "S", "Northwestern State"], ["6", "174", "Paul Edinger", "K", "Michigan State"], ["7", "223", "James Cotton", "DE", "Oh... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Reggie Austin | 128 | Answer: |
Table InputTable: [["Station", "Station Connections", "Date Opened", "Station Parking", "City/ Neighborhood"], ["Crenshaw", "Metro Local: 126, 207 (Weekdays selected Rush Hour AM/PM trips, & Weekends Only), 210\\nMetro Rapid: 710, 757\\nTorrance Transit: 5, 10", "August 12, 1995", "513 Spaces", "Hawthorne"], ["Norwalk"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Bruno Brazil", "1973–1977", "5", "Greg", "Magic-Strip", "William Vance drew the comics, Follet provided the page lay-out"], ["Ivan Zourine", "1979", "2", "Jacques Stoquart", "Magic-Strip", ""], ["Les autos de l'aventure", "1996–1998", "... | 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:... | Steve Severin | 128 | Answer: |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Jose Menendez", "D", "San Antonio", "124"], ["Philip Cortez", "D", "San Antonio", "117"], ["Joe Farias", "D", "San Antonio", "118"], ["Ruth McClendon", "D", "San Antonio", "120"], ["Roland Gutierrez", "D", "San Antonio", "119"], ["Joe Strau... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Joe Straus, Lyle Larson | 128 | Answer: |
Table InputTable: [["Date", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["October 31, 2002", "Colorado Springs", "Colorado State", "31", "Air Force", "12", "AFA 23–17–1"], ["September 1, 1990", "Colorado Springs", "Colorado State", "35", "Air Force", "33", "AFA 19–9–1"], ["October 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:... | Colorado State | 128 | Answer: |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2005", "December 11", "New York Giants", "26-23 (OT)", "Philadelphia Eagles", "Lincoln Financial Field"], ["2006", "September 17", "New York Giants", "30-24 (OT)", "Philadelphia Eagles", "Lincoln Financial Field"], ["2008", "November 9", "N... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-4", "2008..", "[[]]", "[[]]", "-"], ["GL-B-6", "2008..", "[[]]", "[[]]", "-"], ["Quarterfinals-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "2008..", "[[]]"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["5", "France", "$1.7 billion", "2012", "33.3% (2013)"], ["8", "Germany", "$1.3 billion", "2012", "–"], ["4", "United Kingdom", "$1.7 billion", "2012", "36.1% (2011)"], ["7", "India", "$1.4 billion", "2012", "–"], ["6", "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:... | 5 | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1945/46", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1939/40", "N/A", "ASL", "2nd(t)", "No playoff", "Co-champion"], ["1935/36", "N/A", "ASL", "2nd", "No playoff", "?"], ["1936/37", "N/A", "ASL", "2nd, American", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1936/37 | 128 | Answer: |
Table InputTable: [["Date of Incident", "Offender", "Team", "Offense", "Date of Action", "Length"], ["September 24, 2011", "Brad Boyes", "Buffalo Sabres", "Illegal hit to the head of Joe Colborne.", "September 25, 2011", "2 games† (2 pre-season)"], ["September 23, 2011", "James Wisniewski", "Columbus Blue Jackets", "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:... | 1 | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Winner", "4.", "February 20, 1995", "Memphis, Tennessee, USA", "Hard", "Paul Haarhuis", "7–6(7–2), 6–4"], ["Runner-up", "2.", "July 26, 1993", "Washington D.C., USA", "Hard", "Amos Mansdorf", "6–7(... | 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:... | 12 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time", "Notes", "Points"], ["7", "Joni Jaako", "Sweden", "1:47.61", "SB", "6"], ["6", "Oleh Kayafa", "Ukraine", "1:47.42", "", "7"], ["1", "Adam Kszczot", "Poland", "1:46.50", "", "12"], ["5", "Anis Ananenka", "Belarus", "1:47.29", "", "8"], ["8", "Robin Schembera", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Robin Schembera | 128 | Answer: |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Jose Menendez", "D", "San Antonio", "124"], ["Philip Cortez", "D", "San Antonio", "117"], ["Joe Farias", "D", "San Antonio", "118"], ["Justin Rodriguez", "D", "San Antonio", "125"], ["Ruth McClendon", "D", "San Antonio", "120"], ["Mike Vill... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | D | 128 | Answer: |
Table InputTable: [["Time", "Wind", "Auto", "Athlete", "Nationality", "Location of race", "Date"], ["20.5", "0.0", "20.75", "Stone Johnson", "United States", "Stanford, United States", "July 2, 1960"], ["20.6", "", "20.75", "Bobby Morrow", "United States", "Melbourne, Australia", "November 27, 1956"], ["19.8A", "0.9", ... | 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:... | Tommie Smith | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["13 August 2005", "Charlton Athletic", "Stadium of Light", "1–3", "34,446", "Gray"], ["23 October 2005", "Newcastle United", "St James' Park", "2–3", "52,302", "Lawrence, Elliott"], ["15 January 2006", "Chelsea", "Stadium of Light", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lawrence | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Country", "Athletes", "Time", "Deficit"], ["", "3", "Netherlands", "Sven Kramer\\nKoen Verweij\\nJan Blokhuijsen", "3:41.43", ""], ["8", "2", "Poland", "Zbigniew Bródka\\nKonrad Niedźwiedzki\\nJan Szymański", "3:47.72", "+6.29"], ["5", "1", "Norway", "Sverre Lunde Pedersen\\nHåvard ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3:41.43 | 128 | Answer: |
Table InputTable: [["Name", "Topic", "Cost", "Target age", "Advertising"], ["IXL", "Math", "$80/year", "4-12", "?"], ["LearnAlberta.ca", "Everything (mainly aimed at teachers)", "Free", "5-18", "No"], ["BrainPop", "Science, Social studies, English, Maths, Art & Music, Health, Technology", "from US$75/year", "4-17", "No... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | IXL | 128 | Answer: |
Table InputTable: [["Game", "Date", "Team", "Score", "High points", "High rebounds", "High assists", "Location\\nAttendance", "Record"], ["43", "January 21", "Washington", "L 107–110", "John Salmons, Beno Udrih (24)", "John Salmons, Shelden Williams, Jason Thompson (5)", "John Salmons (5)", "ARCO Arena\\n10,821", "10–3... | 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:... | 8 | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["2008", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did not qualify"], ["2011", "4", "USL PDL", "4th, Heartland", "Did not qualify", "Did not qualify"], ["2009", "4", "USL PDL", "6th, Heartland", "Did not qualify", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Week", "Date", "Opponent", "Result", "Game site", "NFL Recap", "Attendance"], ["9", "November 2, 1986", "at New York Giants", "L 14–17", "Giants Stadium", "[9]", "74,871"], ["12", "November 23, 1986", "at Washington Redskins", "L 14–41", "RFK Stadium", "[12]", "55,642"], ["11", "November 16, 1986",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 74,871 | 128 | Answer: |
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