question stringlengths 2.11k 2.25k | context stringclasses 421
values | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 |
|---|---|---|---|---|
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:... | [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["1", "Alejandro Valverde\u00a0(ESP)", "Caisse d'Epargne", "5h 29' 10\"", "40"], ["2", "Alexandr Kolobnev\u00a0(RUS)", "Team CSC Saxo Bank", "s.t.", "30"], ["3", "Davide Rebellin\u00a0(ITA)", "Gerolsteiner", "s.t.", "25"], ["4", "Paolo Bettini\u00a0(ITA)", "... | Italy | Answer: | 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:... | [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Direct War Losses", "360,000", "", "", "", "", "183,000", "543,000"], ["Murdered", "75,000", "100,000", "116,000", "133,000", "82,000", "", "506,000"], ["Deaths In Prisons & Camps", "69,000", "210,000", "220,000", "266... | 100,000 | Answer: | 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:... | [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1931", "1", "ASL", "6th (Fall)", "No playoff", "N/A"], ["Spring 1932", "1", "ASL", "5th?", "No playoff", "1st Round"], ["Fall 1932", "1", "ASL", "3rd", "No playoff", "N/A"], ["Spring 1933", "1", "ASL", "?", "?", "Final"], ["1933/34", "N/A", "... | 17 years | Answer: | 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:... | [["Series #", "Season #", "Title", "Notes", "Original air date"], ["1", "1", "\"The Charity\"", "Alfie, Dee Dee, and Melanie are supposed to be helping their parents at a carnival by working the dunking booth. When Goo arrives and announces their favorite basketball player, Kendall Gill, is at the Comic Book Store sign... | January 26, 1995 | Answer: | 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:... | [["Date", "Competition", "Location", "Country", "Event", "Placing", "Rider", "Nationality"], ["31 October 2008", "2008\u201309 World Cup", "Manchester", "United Kingdom", "Sprint", "1", "Victoria Pendleton", "GBR"], ["31 October 2008", "2008\u201309 World Cup", "Manchester", "United Kingdom", "Keirin", "2", "Jason Kenn... | 17 | Answer: | 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:... | [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2000", "World Junior Championships", "Santiago, Chile", "1st", "Discus throw", "59.51 m"], ["2003", "All-Africa Games", "Abuja, Nigeria", "5th", "Shot put", "17.76 m"], ["2003", "All-Africa Games", "Abuja, Nigeria", "2nd", "Discus throw", "62.86 m"], ["... | World Junior Championships | Answer: | 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:... | [["Year", "Film", "Role", "Language", "Notes"], ["2008", "Moggina Manasu", "Chanchala", "Kannada", "Filmfare Award for Best Actress - Kannada\\nKarnataka State Film Award for Best Actress"], ["2009", "Olave Jeevana Lekkachaara", "Rukmini", "Kannada", "Innovative Film Award for Best Actress"], ["2009", "Love Guru", "Kus... | 15 | Answer: | 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:... | [["Game", "Day", "Date", "Kickoff", "Opponent", "Results\\nScore", "Results\\nRecord", "Location", "Attendance"], ["1", "Sunday", "November 10", "3:05pm", "at Las Vegas Legends", "L 3\u20137", "0\u20131", "Orleans Arena", "1,836"], ["2", "Sunday", "November 17", "1:05pm", "Monterrey Flash", "L 6\u201310", "0\u20132", "... | 363 | Answer: | 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:... | [["Year", "Kit Manufacturer", "Shirt Sponsor", "Back of Shirt Sponsor", "Short Sponsor"], ["1977\u20131978", "", "National Express", "", ""], ["1982\u20131985", "Umbro", "", "", ""], ["1985\u20131986", "Umbro", "Whitbread", "", ""], ["1986\u20131988", "Henson", "Duraflex", "", ""], ["1988\u20131989", "", "Gulf Oil", ""... | 1982-1985 | Answer: | 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:... | [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1999", "European Junior Championships", "Riga, Latvia", "4th", "400 m hurdles", "52.17"], ["2000", "World Junior Championships", "Santiago, Chile", "1st", "400 m hurdles", "49.23"], ["2001", "World Championships", "Edmonton, Canada", "18th (sf)", "400 m... | 2000 | Answer: | 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:... | [["Season", "Team", "Record", "Head Coach", "Quarterback", "Leading Rusher", "Leading Receiver", "All-Pros", "Runner Up"], ["1970", "Dallas Cowboys", "10\u20134", "Tom Landry*", "Craig Morton", "Duane Thomas", "Bob Hayes*", "Howley", "San Francisco 49ers"], ["1971", "Dallas Cowboys\u2020", "11\u20133", "Tom Landry*", "... | 2004, 2005, 2006 | Answer: | 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:... | [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Scot Bennett", "5", "0", "0", "0", "5"], ["Danny Coles", "3", "0", "0", "0", "3"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["Alan Gow", "4", "0", "0", "0", "4"], ["John O'Flynn", "11", "0", "1", "0", "12"], ["Guillem Bauza", "2", "0", "0", "0", "2... | John | Answer: | 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:... | [["Tournament", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "W\u2013L"], ["Australian Open", "A", "2R", "2R", "2R", "3R", "2R", "1R", "3R", "1R", "1R", "2R", "9\u201310"], ["French Open", "2R", "1R", "1R", "2R", "2R", "1R", "2R", "3R", "1R", "1R", "", "6\u201310"], ["Wimbledo... | 440 | Answer: | 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:... | [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["Argus", "Steamer", "Lake Huron", "25 miles off Kincardine, Ontario", "25 lost"], ["James Carruthers", "Steamer", "Lake Huron", "near Kincardine", "18 lost"], ["Hydrus", "Steamer", "Lake Huron", "near Lexington, Michigan", "28 lost"], ["Leafield", "Steamer... | 7 | Answer: | 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:... | [["name", "glyph", "C string", "Unicode", "Unicode name"], ["NUL", "", "\\\\0", "U+0000", "NULL (NUL)"], ["alert", "", "\\\\a", "U+0007", "BELL (BEL)"], ["backspace", "", "\\\\b", "U+0008", "BACKSPACE (BS)"], ["tab", "", "\\\\t", "U+0009", "CHARACTER TABULATION (HT)"], ["carriage-return", "", "\\\\r", "U+000D", "CARRIA... | space | Answer: | 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:... | [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 3", "Tennessee\u2013Chattanooga*", "#11", "Legion Field \u2022 Birmingham, AL", "", "W\u00a042\u201313", "82,109"], ["September 10", "Vanderbilt", "#11", "Bryant\u2013Denny Stadium \u2022 Tuscaloosa, AL", "JPS", "W\u00a017\u20137", "70,1... | 68 | Answer: | 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:... | [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["1", "Loris Capirossi", "Honda", "38:04.730", "25"], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["3", "Jeremy McWilliams", "Aprilia", "+0.534", "16"], ["4", "Tohru Ukawa", "Honda", "+0.537", "13"], ["5", "Shinya Nakano", "Yamaha", "+0.742", "11"], ... | Tomomi Manako | Answer: | 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:... | [["Date", "Festival", "Location", "Awards", "Link"], ["Feb 2\u20135, Feb 11", "Santa Barbara International Film Festival", "Santa Barbara, California \u00a0USA", "Top 11 \"Best of the Fest\" Selection", "sbiff.org"], ["May 21\u201322, Jun 11", "Seattle International Film Festival", "Seattle, Washington \u00a0USA", "", ... | 5 | Answer: | 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:... | [["Name", "City", "Hospital beds", "Operating rooms", "Total", "Trauma designation", "Affiliation", "Notes"], ["Alamance Regional Medical Center", "Burlington", "238", "15", "253", "-", "Cone", "-"], ["Albemarle Hospital", "Elizabeth City", "182", "13", "195", "-", "Vidant", "-"], ["Alexander Hospital", "Hickory", "25"... | Vidant Bertie Hospital | Answer: | 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:... | [["Model", "1991", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"], ["\u0160koda Felicia", "172,000", "210,000", "", "288,458", "261,127", "241,256", "148,028", "44,963", "\u2212", "\u2212", "\u2212", "\u2212", "\u22... | 492,111 | Answer: | 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:... | [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Runner-up", "1.", "February 15, 1993", "Memphis, Tennessee, USA", "Hard (i)", "Jim Courier", "7\u20135, 6\u20137(4\u20137), 6\u20137(4\u20137)"], ["Winner", "1.", "May 17, 1993", "Coral Springs, Florida, USA", "Clay... | 1 | Answer: | 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:... | [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Brazil", "7", "5", "3", "15"], ["2", "Venezuela", "3", "2", "8", "13"], ["3", "Colombia", "2", "3", "4", "9"], ["4", "Chile", "2", "0", "2", "4"], ["5", "Argentina", "1", "2", "5", "8"], ["6", "Peru", "1", "1", "2", "4"], ["7", "Ecuador", "0", "2", "2", "... | Brazil | Answer: | 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:... | [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["1", "Sylvain Geboers", "Belgium", "Suzuki", "3066", "3"], ["2", "Adolf Weil", "Germany", "Maico", "2331", "2"], ["3", "Torlief Hansen", "Sweden", "Husqvarna", "2052", "0"], ["4", "Roger De Coster", "Belgium", "Suzuki", "1865", "3"], ["5", "Joel Robert", "Belgi... | 7 | Answer: | 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:... | [["Position", "Sail Number", "Yacht", "State/Country", "Yacht Type", "LOA\\n(Metres)", "Skipper", "Elapsed Time\\nd:hh:mm:ss"], ["1", "US17", "Sayonara", "USA", "Farr ILC Maxi", "24.13", "Larry Ellison", "2:19:03:32"], ["2", "C1", "Brindabella", "NSW", "Jutson 79", "24.07", "George Snow", "2:21:55:06"], ["3", "YC1000",... | Brindabella | Answer: | 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:... | [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "2008..", "[[]]", "[[]]", "-"], ["GL-B-4", "2008..", "[[]]", "[[]]", "-"], ["GL-B-5", "2008..", "[[]]", "[[]]", "-"], ["GL-B-6", "2008..", "[[]]", "[[]]", "-"], ["Quarterfi... | GL-B-6 | Answer: | 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:... | [["Series", "Premiere", "Finale", "Winner", "Runner-up", "Third place", "Host(s)", "Judging panel", "Guest judge(s)"], ["One", "9 June 2007", "17 June 2007", "Paul Potts", "Damon Scott", "Connie Talbot", "Ant & Dec", "Simon Cowell\\nAmanda Holden\\nPiers Morgan", "N/A"], ["Two", "12 April 2008", "31 May 2008", "George ... | 3 | Answer: | 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:... | [["Year", "Award", "Nominated work", "Category", "Result"], ["2007", "Cosmopolitan Ultimate Woman of the Year", "Leona Lewis", "Newcomer of the Year", "Won"], ["2007", "The Record of the Year", "\"Bleeding Love\"", "The Record of the Year", "Won"], ["2008", "Capital Awards", "Leona Lewis", "Favourite UK Female Artist",... | 20 | Answer: | 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:... | [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["1981-82", "4", "1982 1st Division", "Michael Laudrup (15)", "4th round", "", ""], ["1982-83", "4", "1983 1st Division", "Brian Chr\u00f8is (12)", "4th round", "", ""], ["1983-84", "4", "1984 1st Division", "... | Simon Makienok Christoffersen | Answer: | 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:... | [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Yelena Kondulaynen\\n44.the actress", "Pelicans", "", "", "1st Voted Out\\nDay 3", "5"], ["Kris Kelmi\\n47.the singer", "Barracudas", "", "", "2nd Voted Out\\nDay 6", "1"], ["Aleksandr Pashutin\\n60.the actor", "Barracudas",... | 9 | Answer: | 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:... | [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2007", "20", "130", "\u2013", "40", "\u2013", "\u2013", "\u2014"], ["2008", "21", "64", "\u2013", "28", "46", "46", "31"], ["2009", "22", "7", "\u2013", "6", "16", "16", "1"], ["2010", "23", "1", "\u2013", "2", "6", "2", "2"... | 1 | Answer: | 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:... | [["Route", "Name", "Fare Type", "Terminals", "Terminals", "Major streets", "Notes", "History"], ["31", "Wisconsin Avenue Line", "Local", "Friendship Heights station", "Potomac Park (Virginia Av & 21st St NW)", "Wisconsin Avenue NW", "", "31 replaces the Wisconsin Avenue portion of the old 30 (see Pennsylvania Avenue Li... | Pennsylvania Avenue Metro Extra Line | Answer: | 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:... | [["Team", "Stadium", "Capacity", "City/Area"], ["Bradford Bulls (2014 season)", "Provident Stadium", "27,000", "Bradford, West Yorkshire"], ["Castleford Tigers (2014 season)", "The Wish Communications Stadium", "11,750", "Castleford, West Yorkshire"], ["Catalans Dragons (2014 season)", "Stade Gilbert Brutus", "14,000",... | DW Stadium | Answer: | 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:... | [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1986", "Venice Marathon", "Venice, Italy", "1st", "Marathon", "2:18:44"], ["1987", "World Championships", "Rome, Italy", "13th", "Marathon", "2:17:45"], ["1987", "Venice Marathon", "Venice, Italy", "1st", "Marathon", "2:10:01"], ["1990", "European Champ... | 2 | Answer: | 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:... | [["School", "Season", "Record", "Conference Record", "Place", "Postseason"], ["Illinois", "1912\u201313", "10\u20136", "7\u20136", "5th", ""], ["Illinois", "1913\u201314", "9\u20134", "7\u20133", "3rd", ""], ["Illinois", "1914\u201315", "16\u20130", "12\u20130", "T1st", "National Champions"], ["Illinois", "1915\u201316... | 1914-15 | Answer: | 128 |
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