context stringclasses 421
values | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 |
|---|---|---|---|---|
Table InputTable: [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["7", "Samuel Sánchez (ESP)", "Euskaltel-Euskadi", "s.t.", "7"], ["10", "David Moncoutié (FRA)", "Cofidis", "+ 2\"", "1"], ["9", "Haimar Zubeldia (ESP)", "Euskaltel-Euskadi", "+ 2\"", "3"], ["6", "Denis Menchov (RUS)", "Rabobank", "s.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:... | Italy | Answer: | 128 |
Table InputTable: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Total", "504,000", "352,000", "407,000", "541,000", "681,000", "270,000", "2,770,000"], ["Direct War Losses", "360,000", "", "", "", "", "183,000", "543,000"], ["Murdered", "75,000", "100,000", "116,0... | 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:... | 100,000 | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1937/38", "N/A", "ASL", "3rd(t), National", "1st Round", "?"], ["1948/49", "N/A", "ASL", "1st(t)", "Finals", "?"], ["1938/39", "N/A", "ASL", "4th, National", "Did not qualify", "?"], ["1935/36", "N/A", "ASL", "1st", "Champio... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Series #", "Season #", "Title", "Notes", "Original air date"], ["5", "1", "\"Basketball Tryouts\"", "Alfie tries out for the basketball team and doesn't make it even after showing off his basketball skills. However, Harry, Dee Dee and Donnell make the team. Alfie is depressed and doesn't want to at... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 26, 1995 | Answer: | 128 |
Table InputTable: [["Date", "Competition", "Location", "Country", "Event", "Placing", "Rider", "Nationality"], ["1 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Sprint", "1", "Jason Kenny", "GBR"], ["2 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Team sprint", "1", "Ross... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2003", "All-Africa Games", "Abuja, Nigeria", "2nd", "Discus throw", "62.86 m"], ["2003", "All-Africa Games", "Abuja, Nigeria", "5th", "Shot put", "17.76 m"], ["2006", "Commonwealth Games", "Melbourne, Australia", "4th", "Discus throw",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | World Junior Championships | Answer: | 128 |
Table InputTable: [["Year", "Film", "Role", "Language", "Notes"], ["2012", "18th Cross", "Punya", "Kannada", ""], ["2012", "Breaking News", "Shraddha", "Kannada", ""], ["2013", "Dilwala", "Preethi", "Kannada", ""], ["2012", "Alemari", "Neeli", "Kannada", ""], ["2012", "Addhuri", "Poorna", "Kannada", "Udaya Award for Be... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Game", "Day", "Date", "Kickoff", "Opponent", "Results\\nScore", "Results\\nRecord", "Location", "Attendance"], ["2", "Sunday", "November 17", "1:05pm", "Monterrey Flash", "L 6–10", "0–2", "UniSantos Park", "363"], ["16", "Saturday", "February 15♥", "5:05pm", "Bay Area Rosal", "W 27–2", "9–7", "UniS... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 363 | Answer: | 128 |
Table InputTable: [["Year", "Kit Manufacturer", "Shirt Sponsor", "Back of Shirt Sponsor", "Short Sponsor"], ["1997–1999", "Errea", "Endsleigh Insurance", "", ""], ["1982–1985", "Umbro", "", "", ""], ["1999–2004", "Errea", "Towergate Insurance", "", ""], ["1991–1993", "Technik", "Gulf Oil", "", ""], ["1993–1994", "Club ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1982-1985 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2002", "European Indoor Championships", "Vienna, Austria", "1st", "400 m", "45.39 (CR, NR)"], ["2002", "European Championships", "Munich, Germany", "4th", "400 m", "45.40"], ["2003", "World Indoor Championships", "Birmingham, United Ki... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2000 | Answer: | 128 |
Table InputTable: [["Season", "Team", "Record", "Head Coach", "Quarterback", "Leading Rusher", "Leading Receiver", "All-Pros", "Runner Up"], ["1987", "Washington Redskins†", "11–4", "Joe Gibbs*", "Jay Schroeder", "George Rogers", "Gary Clark", "Clark, Wilburn", "Minnesota Vikings"], ["1984", "San Francisco 49ers†", "15... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2004, 2005, 2006 | Answer: | 128 |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Total", "0", "0", "0", "0", "0"], ["Scot Bennett", "5", "0", "0", "0", "5"], ["Pat Baldwin", "1", "0", "0", "0", "1"], ["OWN GOALS", "0", "0", "0", "0", "0"], ["Alan Gow", "4", "0", "0", "0", "4"], ["Jamie Cureton", "20", "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:... | John | Answer: | 128 |
Table InputTable: [["Tournament", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "W–L"], ["Year End Ranking", "129", "91", "68", "90", "62", "41", "33", "39", "76", "62", "", ""], ["Win–Loss", "1–1", "2–4", "2–4", "2–4", "6–4", "3–4", "2–4", "6–4", "2–4", "0–4", "1–1", "27–38"]] | 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:... | 440 | Answer: | 128 |
Table InputTable: [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["Plymouth", "Barge", "Lake Michigan", "", "7 lost"], ["Charles S. Price", "Steamer", "Lake Huron", "near Port Huron, Michigan", "28 lost"], ["Henry B. Smith", "Steamer", "Lake Superior", "", "all hands"], ["Leafield", "Steamer", "Lake Sup... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["name", "glyph", "C string", "Unicode", "Unicode name"], ["question-mark", "?", "?", "U+003F", "QUESTION MARK"], ["quotation-mark", "\"", "\\\\\"", "U+0022", "QUOTATION MARK"], ["vertical-tab", "", "\\\\v", "U+000B", "LINE TABULATION (VT)"], ["period", ".", ".", "U+002E", "FULL STOP"], ["vertical-li... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | space | Answer: | 128 |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 17", "at Arkansas", "#12", "Razorback Stadium • Fayetteville, AR", "ABC", "W 13–6", "52,089"], ["December 3", "vs. #6 Florida", "#3", "Georgia Dome • Atlanta, GA (SEC Championship Game)", "ABC", "L 23–24", "74,751"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 68 | Answer: | 128 |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["15", "Jarno Janssen", "TSR-Honda", "+56.248", "1"], ["8", "Stefano Perugini", "Honda", "+20.891", "8"], ["22", "Rudie Markink", "Aprilia", "+1:40.280", ""], ["18", "Julien Allemand", "TSR-Honda", "+1:16.347", ""], ["16", "Luca Boscoscuro",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tomomi Manako | Answer: | 128 |
Table InputTable: [["Date", "Festival", "Location", "Awards", "Link"], ["Nov 16–18", "AFF", "Wrocław, Lower Silesia\\n Poland", "", "AFF Poland"], ["Nov 11", "Les Utopiales", "Nantes, Pays de la Loire\\n France", "", "utopiales.org"], ["Oct 17, Oct 20", "Icon TLV", "Tel Aviv, Central\\n Israel", "", "icon.org.il"], ["F... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Name", "City", "Hospital beds", "Operating rooms", "Total", "Trauma designation", "Affiliation", "Notes"], ["Cone Health", "Greensboro", "907", "62", "969", "Level II", "Cone", "-"], ["Select Specialty Hospital - Durham", "Durham", "30", "0", "30", "-", "-", "-"], ["Carolinas Rehabilitation", "Char... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Vidant Bertie Hospital | Answer: | 128 |
Table InputTable: [["Model", "1991", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"], ["Total", "172,000", "210,000", "261,000", "336,334", "363,500", "385,330", "435,403", "460,252", "445,525", "449,758", "451,675",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 492,111 | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Winner", "8.", "January 18, 1999", "Sydney, Australia", "Hard", "Àlex Corretja", "6–3, 7–6(7–5)"], ["Runner-up", "6.", "May 2, 1994", "Atlanta, Georgia, USA", "Clay", "Michael Chang", "7–6(7–4), 6–... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["Total", "Total", "16", "16", "30", "62"], ["9", "Uruguay", "0", "0", "1", "1"], ["1", "Brazil", "7", "5", "3", "15"], ["4", "Chile", "2", "0", "2", "4"], ["9", "Netherlands Antilles", "0", "0", "1", "1"], ["9", "Panama", "0", "0", "1", "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:... | Brazil | Answer: | 128 |
Table InputTable: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["14", "Mark Blackwell", "United States", "Husqvarna", "604", "0"], ["12", "Andy Roberton", "United Kingdom", "Husqvarna", "810", "0"], ["11", "John Banks", "United Kingdom", "ČZ", "971", "0"], ["18", "Chris Horsefield", "United Kingdom", "ČZ",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Position", "Sail Number", "Yacht", "State/Country", "Yacht Type", "LOA\\n(Metres)", "Skipper", "Elapsed Time\\nd:hh:mm:ss"], ["7", "6606", "Quest", "NSW", "Nelson Marek 46", "14.12", "Bob Steel", "3:14:41:28"], ["6", "SM1", "Fudge", "VIC", "Elliot 56", "17.07", "Peter Hansen", "3:11:00:26"]] | 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:... | Brindabella | Answer: | 128 |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-B-6", "2008..", "[[]]", "[[]]", "-"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "2008..", "[[]]", "[[]]", "-"], ["GL-B-4", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-5", "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:... | GL-B-6 | Answer: | 128 |
Table InputTable: [["Series", "Premiere", "Finale", "Winner", "Runner-up", "Third place", "Host(s)", "Judging panel", "Guest judge(s)"], ["Nine", "2015", "2015", "TBA", "TBA", "TBA", "Ant & Dec", "TBA", "TBA"], ["Eight", "12 April 2014", "31 May 2014", "TBA", "TBA", "TBA", "Ant & Dec", "Simon Cowell\\nAmanda Holden\\nA... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Year", "Award", "Nominated work", "Category", "Result"], ["2007", "The Record of the Year", "\"Bleeding Love\"", "The Record of the Year", "Won"], ["2008", "PETA", "Leona Lewis", "Person Of The Year", "Won"], ["2008", "NME Best Album", "\"Spirit\"", "Best Album", "Nominated"], ["2009", "APRA Awards... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 20 | Answer: | 128 |
Table InputTable: [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["2006-07", "6", "2006-07 Superliga", "Morten Rasmussen (15)", "4th round", "EC3 1st round", "Royal League winner\\nDanish League Cup winner"], ["2007-08", "8", "2007-08 Superliga", "Morten R... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Simon Makienok Christoffersen | Answer: | 128 |
Table InputTable: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Aleksandr Byalko\\n50.the physicist", "Pelicans", "Barracudas", "", "5th Voted Out\\nDay 15", "6"], ["Viktor Gusev\\n47.the sport commentator", "Pelicans", "Pelicans", "Crocodiles", "7th Voted Out\\n1st Jur... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2009", "22", "7", "–", "6", "16", "16", "1"], ["2008", "21", "64", "–", "28", "46", "46", "31"], ["2013", "26", "48", "–", "48", "27", "38", "4"], ["2014", "27", "18", "–", "25", "14", "20", "11"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | Answer: | 128 |
Table InputTable: [["Route", "Name", "Fare Type", "Terminals", "Terminals", "Major streets", "Notes", "History"], ["94", "Stanton Road Line", "Local*", "Stanton Road (19th & Savannah Streets SE)", "Anacostia station", "Stanton Road SE", "replaced by 93 (U Street-Garfield Line) when not in operation\\nFare: $1 (unless 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:... | Pennsylvania Avenue Metro Extra Line | Answer: | 128 |
Table InputTable: [["Team", "Stadium", "Capacity", "City/Area"], ["Hull Kingston Rovers (2014 season)", "MS3 Craven Park", "9,471", "Kingston upon Hull, East Riding of Yorkshire"], ["Salford City Reds (2014 season)", "Salford City Stadium", "12,000", "Salford, Greater Manchester"], ["London Broncos (2014 season)", "Twi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | DW Stadium | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1987", "Venice Marathon", "Venice, Italy", "1st", "Marathon", "2:10:01"], ["1986", "Venice Marathon", "Venice, Italy", "1st", "Marathon", "2:18:44"], ["1991", "World Championships", "Tokyo, Japan", "6th", "Marathon", "2:15:58"], ["1987... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["School", "Season", "Record", "Conference Record", "Place", "Postseason"], ["Illinois", "1912–20", "85–34", "64–31", "–", ""], ["Illinois", "1913–14", "9–4", "7–3", "3rd", ""], ["Illinois", "1915–16", "13–3", "9–3", "T2nd", ""], ["Illinois", "1912–13", "10–6", "7–6", "5th", ""]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1914-15 | Answer: | 128 |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Perm Krai", "Svetlana Ninkova", "Светлана Нинкова", "22", "1.73 m (5 ft 8 in)", "Perm"], ["Adygean Republic", "Alissa Joanndova", "Алисса Йоанндова", "19", "1.83 m (6 ft 0 in)", "Tulsky"], ["Mordovian Republic", "Olga Stepančenk... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jahaira Novgorodova, Carmen Jenockova, Mariesea Mnesiču, Patricia Valiahmetova, Anastasija Larkova | Answer: | 128 |
Table InputTable: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["1", "Diana DeGette", "Re-election", "Diana DeGette", "George Lilly"], ["5", "Doug Lamborn", "Re-election", "Hal Bidlack", "Doug Lamborn"], ["4", "Marilyn Mu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Date", "Competition", "Location", "Country", "Event", "Placing", "Rider", "Nationality"], ["1 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Sprint", "1", "Jason Kenny", "GBR"], ["2 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Team sprint", "1", "Ross... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Rank", "City", "Passengers", "Top Carriers"], ["9", "Atlanta, GA", "400,000", "Delta, United"], ["4", "San Francisco, CA", "492,000", "United"], ["2", "Chicago, IL", "673,000", "American, Spirit, United"], ["6", "Newark, NJ", "480,000", "United"], ["5", "Dallas/Fort Worth, TX", "488,000", "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:... | 10 | Answer: | 128 |
Table InputTable: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["14", "Mark Blackwell", "United States", "Husqvarna", "604", "0"], ["12", "Andy Roberton", "United Kingdom", "Husqvarna", "810", "0"], ["11", "John Banks", "United Kingdom", "ČZ", "971", "0"], ["18", "Chris Horsefield", "United Kingdom", "ČZ",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2009", "22", "9", "–", "40", "2", "5", "50"], ["2012", "25", "75", "–", "28", "–", "–", "—"], ["2007", "20", "33", "–", "50", "15", "23", "—"], ["2005", "18", "37", "–", "27", "18", "49", "—"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2005 | Answer: | 128 |
Table InputTable: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Dzejlana \"Lana\" Baltić", "20", "179 cm (5 ft 10.5 in)", "Graz (originally from Bosnia)", "1st Eliminated in Episode 10"], ["Antonia Maria Hausmair", "16", "175 cm (5 ft 9 in)", "Siegendorf", "Winner"], ["Gina Zeneb Adamu", "17", "175 cm (5 ft ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["#", "Player", "Goals", "Caps", "Career"], ["9T", "DaMarcus Beasley", "17", "114", "2001–present"], ["6T", "Bruce Murray", "21", "86", "1985–1993"], ["4", "Brian McBride", "30", "95", "1993–2006"], ["8", "Eddie Johnson", "19", "62", "2004–present"], ["9T", "Earnie Stewart", "17", "101", "1990–2004"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Clint Dempsey | Answer: | 128 |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["Washington Monument", "United States", "Washington, D.C.", "169.3 / 555", "Monument", "1884–1889", ""], ["CN Tower", "Canada", "Toronto", "553 / 1,815", "Tower", "1976–2007", ""], ["Strasbourg Cathedral"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | St. Mary's Church | Answer: | 128 |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["Maine", "Angus King", "Independent", "Angus King (I) 52.9%\\nCharles E. Summers, Jr. (R) 30.7%\\nCynthia Dill (D) 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:... | Independent | Answer: | 128 |
Table InputTable: [["Season", "Conference", "Head Coach", "Total Wins", "Total Losses", "Total Ties", "Conference Wins", "Conference Losses", "Conference Ties", "Conference Standing", "Postseason Result"], ["1990", "Southern", "Charlie Taaffe", "7", "5", "0", "4", "3", "0", "3", "First Round"], ["1988", "Southern", "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:... | 1992 | Answer: | 128 |
Table InputTable: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Total", "504,000", "352,000", "407,000", "541,000", "681,000", "270,000", "2,770,000"], ["Direct War Losses", "360,000", "", "", "", "", "183,000", "543,000"], ["Murdered", "75,000", "100,000", "116,0... | 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:... | 504,000 | Answer: | 128 |
Table InputTable: [["Year", "Manufacturer", "Model", "Length (feet)", "Quantity", "Fleet Series", "Fuel Propulsion", "Powertrain"], ["2013", "Gillig", "Low-floor Advantage", "40", "55", "6101-6155", "Diesel", "Cummins ISL 280 HP\\nAllison B400 6-speed"], ["2013", "Gillig", "Low-floor Advantage", "40", "65", "1301-1365"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 20 | Answer: | 128 |
Table InputTable: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["5", "July 8", "Watkins Glen‡", "Hal Shaw, Jr.\\n Monte Shelton", "Porsche 935", "Brian Fuerstenau\\n Bob Tullius", "Jaguar XJS"], ["1", "May 21", "Sears Point", "Greg Pick... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["Total", "Total", "16", "16", "30", "62"], ["9", "Uruguay", "0", "0", "1", "1"], ["1", "Brazil", "7", "5", "3", "15"], ["4", "Chile", "2", "0", "2", "4"], ["9", "Netherlands Antilles", "0", "0", "1", "1"], ["9", "Panama", "0", "0", "1", "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:... | Chile, Ecuador | Answer: | 128 |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["4 Dec 1920", "Watford", "H", "0–2", "", "6,000"], ["11 Dec 1920", "Watford", "A", "1–5", "Wright", "7,000"], ["4 Sep 1920", "Reading", "A", "0–4", "", "10,000"], ["28 Aug 1920", "Reading", "H", "0–1", "", "14,500"], ["19 Feb 1921", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Season", "Series", "Team", "Races", "Wins", "Poles", "F/Laps", "Podiums", "Points", "Position"], ["2010", "ATS Formel 3 Cup", "China Sonangol", "5", "0", "0", "0", "0", "0", "19th"], ["2013", "GP3 Series", "Carlin", "16", "0", "0", "0", "0", "0", "23rd"], ["2012", "Formula 3 Euro Series", "Angola R... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Carlin | Answer: | 128 |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["8", "Germany", "$1.3 billion", "2012", "–"], ["11", "Italy", "$0.84 billion", "2013", "30% (2013)"], ["3", "Japan", "$1.88 billion", "2013", "61% (2013)"], ["5", "France", "$1.7 billion", "2012", "33.3% (2013)"], ["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:... | 10 | Answer: | 128 |
Table InputTable: [["Frequency", "Call sign", "Name", "Format", "Owner", "Target city/market", "City of license"], ["106.3 FM", "KVHT", "Classic Hits 106.3", "Classic Hits", "Cullhane Communications, Inc.", "Yankton/Vermillion", "Vermillion"], ["93.1 FM", "KKYA", "KK93", "Country", "Riverfront Broadcasting LLC", "Yankt... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yankton | Answer: | 128 |
Table InputTable: [["Film", "Film", "Date"], ["Kodachrome 64", "126 format, daylight", "1974–1993"], ["Kodachrome 64", "110 format, daylight", "1974–1987"], ["Kodachrome 200", "35 mm, daylight", "1988–2007"], ["Kodachrome 64", "35 mm, daylight", "1974–2009"], ["Kodachrome Professional film (sheets)", "daylight (ASA 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:... | 1935 | Answer: | 128 |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["1", "Clipsal 500", "Adelaide Street Circuit", "Adelaide, South Australia", "19-22 Mar", "David Russell"], ["5", "Queensland House & Land 300", "Queensland Raceway", "Ipswich, Queensland", "21-23 Aug", "Jonathon Webb"], ["2", "Winton", "Wint... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | David Russell | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2009", "World Championships", "Berlin, Germany", "22nd (q)", "5.40 m"], ["2010", "European Championships", "Barcelona, Spain", "10th", "5.60 m"], ["2012", "European Championships", "Helsinki, Finland", "6th", "5.60 m"], ["2013", "European Indoo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | World Championships | Answer: | 128 |
Table InputTable: [["Model", "1991", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"], ["Total", "172,000", "210,000", "261,000", "336,334", "363,500", "385,330", "435,403", "460,252", "445,525", "449,758", "451,675",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 460,252 | Answer: | 128 |
Table InputTable: [["Date", "Location", "Air/Ground", "Number", "Type", "Status"], ["25 January 1952", "Korea", "Air", "1", "Mig-15", "Damaged"], ["27 May 1944", "North of Strasbourg, France", "Air", "1", "Me-109", "Damaged"], ["8 March 1944", "Near Steinhuder Meer (Lake), Germany", "Air", "1", "Me-109", "Destroyed"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mig-15 | Answer: | 128 |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["Itzhak Nir", "Sailing", "Flying Dutchman", "23", "28-22-22-19-25-19-DNS = 171 pts\\n(left Kiel before 7th race)"], ["Yair Michaeli", "Sailing", "Flying Dutchman", "23", "28-22-22-19-25-19-DNS = 171 pts\\n(left Kiel before 7th race)"], ["David Be... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Esther Shahamorov | Answer: | 128 |
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:... | no | Answer: | 128 |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2009", "22", "7", "–", "6", "16", "16", "1"], ["2008", "21", "64", "–", "28", "46", "46", "31"], ["2013", "26", "48", "–", "48", "27", "38", "4"], ["2014", "27", "18", "–", "25", "14", "20", "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:... | Giant Slalom | Answer: | 128 |
Table InputTable: [["Round", "Pick", "Name", "Position", "College"], ["2", "39", "Mike Brown", "S", "Nebraska"], ["1", "9", "Brian Urlacher", "S", "New Mexico"], ["7", "254", "Michael Green", "S", "Northwestern State"], ["6", "174", "Paul Edinger", "K", "Michigan State"], ["4", "125", "Reggie Austin", "DB", "Wake Fores... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | S | Answer: | 128 |
Table InputTable: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["7", "Dr Abdul Majid", "1997", "2001", "University of Wales", "Astrophysics", "Ph.D"], ["8", "Major General Raza Hussain", "2001", "2010", "Pakistan Army Corps of Electrical and Mechanical Engineers... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ph.D | Answer: | 128 |
Table InputTable: [["Ship", "Hull No.", "Status", "Years Active", "NVR\\nPage"], ["Guadalupe", "T-AO-200", "Active", "1992–present", "AO200"], ["Kanawha", "T-AO-196", "Active", "1991–present", "AO196"], ["Pecos", "T-AO-197", "Active", "1990–present", "AO197"], ["Patuxent", "T-AO-201", "Active", "1995–present", "AO201"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 18 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2002", "European Indoor Championships", "Vienna, Austria", "1st", "400 m", "45.39 (CR, NR)"], ["2002", "European Championships", "Munich, Germany", "4th", "400 m", "45.40"], ["2003", "World Indoor Championships", "Birmingham, United Ki... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Perm Krai", "Svetlana Ninkova", "Светлана Нинкова", "22", "1.73 m (5 ft 8 in)", "Perm"], ["Adygean Republic", "Alissa Joanndova", "Алисса Йоанндова", "19", "1.83 m (6 ft 0 in)", "Tulsky"], ["Mordovian Republic", "Olga Stepančenk... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alissa Joanndova | Answer: | 128 |
Table InputTable: [["Season", "Episodes", "Season Premiere", "Season Finale"], ["1", "20", "March 4, 2006", "May 13, 2006"], ["7", "8", "October 29, 2013", "December 17, 2013"], ["2", "52", "October 7, 2006", "July 16, 2007"], ["6", "20", "September 6, 2010", "December 6, 2010"], ["4", "48", "October 13, 2008", "May 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:... | December 6, 2010 | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Winner", "5.", "12 November 2012", "Zawada, Poland", "Carpet (i)", "Karolína Plíšková", "Kristina Barrois\\n Sandra Klemenschits", "6–3, 6–1"], ["Winner", "4.", "30 January 2012", "Grenoble, France", "Hard (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:... | 1 | Answer: | 128 |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 2