context stringlengths 362 1.72k | 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"], ["2", "Alexandr Kolobnev (RUS)", "Team CSC Saxo Bank", "s.t.", "30"], ["1", "Alejandro Valverde (ESP)", "Caisse d'Epargne", "5h 29' 10\"", "40"], ["6", "Denis Menchov (RUS)", "Rabobank", "s.t.", "11"], ["5", "Franco Pellizotti (ITA)", "Liqu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Deaths other countries", "", "", "", "", "", "", "2,000"], ["Deaths In Prisons & Camps", "69,000", "210,000", "220,000", "266,000", "381,000", "", "1,146,000"], ["Murdered in Eastern Regions", "", "",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["1936/37", "N/A", "ASL", "5th, National", "Did not qualify", "Champion"], ["1935/36", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1937/38", "N/A", "ASL", "3rd(t), National", "1st Round", "?"], ["1953/54", "N/A", "AS... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["11", "1", "\"Alfie's Birthday Party\"", "Goo and Melanie pretend they are dating and they leave Alfie out of everything. He ends up bored and starts hanging out with Dee Dee and his friends. However, it just isn't the same without Goo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "500 m time trial", "1", "Victoria Pendleton", "GBR"], ["1 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Sprint"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["2006", "Commonwealth Games", "Melbourne, Australia", "7th", "Shot put", "18.44 m"], ["2006", "Commonwealth Games", "Melbourne, Australia", "4th", "Discus throw", "60.99 m"], ["2004", "African Championships", "Brazzaville, Republic of 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:... | World Junior Championships | Answer: | 128 |
Table InputTable: [["Year", "Film", "Role", "Language", "Notes"], ["2012", "Sagar", "Kajal", "Kannada", ""], ["2010", "Gaana Bajaana", "Radhey", "Kannada", ""], ["2013", "Dilwala", "Preethi", "Kannada", ""], ["2013", "Kaddipudi", "Uma", "Kannada", ""], ["2008", "Moggina Manasu", "Chanchala", "Kannada", "Filmfare Award ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["15", "Saturday", "February 8", "7:05pm", "at Sacramento Surge", "W 10–6", "8–7", "E... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["1977–1978", "", "National Express", "", ""], ["1995–1996", "Matchwinner", "Empress", "", ""], ["1982–1985", "Umbro", "", "", ""], ["1994–1995", "Klūb Sport", "Empress", "", ""], ["1993–1994", "Club Sport", "Gul... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["2000", "World Junior Championships", "Santiago, Chile", "1st", "400 m hurdles", "49.23"], ["2003", "European U23 Championships", "Bydgoszcz, Poland", "1st", "400 m hurdles", "48.45"], ["2001", "World Championships", "Edmonton, Canada",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["1972", "Washington Redskins", "11–3", "George Allen*", "Billy Kilmer", "Larry Brown", "Charley Taylor*", "Brown, Hanburger*", "Dallas Cowboys"], ["1971", "Dallas Cowboys†", "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:... | 2004, 2005, 2006 | Answer: | 128 |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Pat Baldwin", "1", "0", "0", "0", "1"], ["Jamie Cureton", "20", "0", "0", "0", "20"], ["John O'Flynn", "11", "0", "1", "0", "12"], ["Danny Coles", "3", "0", "0", "0", "3"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["Scot Bennett",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Charles S. Price", "Steamer", "Lake Huron", "near Port Huron, Michigan", "28 lost"], ["John A. McGean", "Steamer", "Lake Huron", "near Goderich, Ontario", "28 lost"], ["Issac M. Scott", "Steamer", "Lake Huron", "near Port Elgin, Ontario"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["c", "c", "c", "U+0063", "LATIN SMALL LETTER C"], ["C", "C", "C", "U+0043", "LATIN CAPITAL LETTER C"], ["tab", "", "\\\\t", "U+0009", "CHARACTER TABULATION (HT)"], ["underscore", "_", "_", "U+005F", "LOW LINE"], ["comma", ",", ",", "U+002C", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["December 3", "vs. #6 Florida", "#3", "Georgia Dome • Atlanta, GA (SEC Championship Game)", "ABC", "L 23–24", "74,751"], ["November 19", "#6 Auburn", "#4", "Legion Field • Birmingham, AL (Iron Bowl)", "ABC", "W 21–14", "83,091"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["12", "Sebastian Porto", "Yamaha", "+27.054", "4"], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["16", "Luca Boscoscuro", "TSR-Honda", "+56.432", ""], ["24", "Henk Van De Lagemaat", "Honda", "+1 Lap", ""], ["1", "Loris Capirossi", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Oct 9, Oct 11", "Sitges Film Festival", "Sitges, Catalonia\\n Spain", "", "Sitges Festival"], ["Oct 1, Oct 15", "Gwacheon International SF Festival", "Gwacheon, Gyeonggi-do\\n South Korea", "", "gisf.org"], ["Sep 28", "Fantastic Fest", "Austin, Te... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Vidant Edgecombe Hospital", "Tarboro", "117", "8", "125", "-", "Vidant", "-"], ["Alleghany Memorial Hospital", "Sparta", "41", "2", "43", "-", "QHR", "-"], ["Lenoir Memorial Hospital", "Kins... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Škoda Superb", "−", "−", "−", "−", "−", "−", "−", "177", "16,867", "23,135", "22,392", "22,091", "20,989", "20,530", "25,645", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "3.", "June 13, 1994", "London (Queen's Club), UK", "Grass", "Pete Sampras", "7–6(7–4), 7–6(7–4)"], ["Winner", "1.", "May 17, 1993", "Coral Springs, Florida, USA", "Clay", "David Wheaton",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["5", "Argentina", "1", "2", "5", "8"], ["9", "Uruguay", "0", "0", "1", "1"], ["1", "Brazil", "7", "5", "3", "15"], ["4", "Chile", "2", "0", "2", "4"], ["2", "Venezuela", "3", "2", "8", "13"], ["Total", "Total", "16", "16", "30", "62"], ["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:... | Brazil | Answer: | 128 |
Table InputTable: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["1", "Sylvain Geboers", "Belgium", "Suzuki", "3066", "3"], ["8", "Gaston Rahier", "Belgium", "ČZ", "1112", "0"], ["5", "Joel Robert", "Belgium", "Suzuki", "1730", "1"], ["4", "Roger De Coster", "Belgium", "Suzuki", "1865", "3"], ["9", "Pierre ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["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"], ["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:... | Brindabella | Answer: | 128 |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-B-5", "2008..", "[[]]", "[[]]", "-"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-4", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "2008..", "[[]]", "[[]]", "-"], ["GL-B-6", "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)"], ["Eight", "12 April 2014", "31 May 2014", "TBA", "TBA", "TBA", "Ant & Dec", "Simon Cowell\\nAmanda Holden\\nAlesha Dixon\\nDavid Walliams", "Ant & Dec"], ["One", "9 June 2007", "17 Ju... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["2008", "Glamour Woman Of The Year Awards", "Leona Lewis", "UK Solo Artist", "Won"], ["2008", "Britain's Best", "Leona Lewis", "Music Award", "Won"], ["2008", "Capital Awards", "Leona Lewis", "Favourite UK Female Artist", "Won"], ["2009", "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:... | 20 | Answer: | 128 |
Table InputTable: [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["2008-09", "3", "2008-09 Superliga", "Morten Rasmussen (9)\\nAlexander Farnerud (9)\\nOusman Jallow (9)", "Semi-final", "EC3 1st round", ""], ["2001-02", "1", "2001-02 Superliga", "Peter Mad... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Lykov\\n41.the actor", "Barracudas", "Barracudas", "Crocodiles", "13th Voted Out\\n8th Jury Member\\nDay 37", "6"], ["Vera Glagoleva\\n46.the actress", "", "", "Crocodiles", "11th Voted Out\\n6th ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "13 Dec 2008", "Val d'Isère, France", "Giant slalom", "", "", "", ""], ["2010", "16 Jan 2010", "Wengen, Switzerland", "Downhill", "", "", "", ""], ["2009", "16 Jan 2009", "Wengen, Switzerland", "Supe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["42, 43", "Mount Pleasant Line", "Local", "Mount Pleasant (Mount Pleasant & Lamont Streets NW)", "42 Gallery Place station\\n43 Farragut Square (AM End)\\n43 McPherson Square station (Franklin Square Entra... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Bradford Bulls (2014 season)", "Provident Stadium", "27,000", "Bradford, West Yorkshire"], ["Salford City Reds (2014 season)", "Salford City Stadium", "12,000", "Salford, Greater Manchester"], ["Wigan Warriors (2014 season)", "DW Stadium", "25,138", "Wi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "World Championships", "Rome, Italy", "13th", "Marathon", "2:17:45"], ["1990", "European Championships", "Split, FR Yugoslavia", "4th", "Marathon", "2:17:45"], ["1993", "World Championships", "Stuttgart, Germany", "—", "Marathon... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "1915–16", "13–3", "9–3", "T2nd", ""], ["Illinois", "1917–18", "9–6", "6–6", "T4th", ""], ["Illinois", "1919–20", "9–4", "8–4", "3rd", ""], ["Illinois", "1912–1... | 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:... | 1914-15 | Answer: | 128 |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Capital City", "Natalia Varnakova", "Наталиа Варнакова", "19", "1.80 m (5 ft 11 in)", "Moscow"], ["Tambov Oblast", "Jenna Lerova", "Йенна Лерова", "21", "1.77 m (5 ft 9 1⁄2 in)", "Tambov"], ["Ryazan Oblast", "Julia Sandrova", "Ю... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["3", "John Salazar", "Re-election", "John Salazar", "Wayne Wolf"], ["4", "Marilyn Musgrave", "Re-election", "Betsy Markey", "Marilyn Musgrave"], ["5", "Doug ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "500 m time trial", "1", "Victoria Pendleton", "GBR"], ["2 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Team sp... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["5", "Dallas/Fort Worth, TX", "488,000", "American, United"], ["8", "Charlotte, NC", "441,000", "United, US Airways"], ["10", "Phoenix, AZ", "393,000", "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:... | 10 | Answer: | 128 |
Table InputTable: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["2", "Adolf Weil", "Germany", "Maico", "2331", "2"], ["7", "Willy Bauer", "Germany", "Maico", "1276", "0"], ["1", "Sylvain Geboers", "Belgium", "Suzuki", "3066", "3"], ["8", "Gaston Rahier", "Belgium", "ČZ", "1112", "0"], ["13", "Vlastimil Val... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["2011", "24", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete"], ["2006", "19", "22", "–"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Isabelle Raisa", "16", "170 cm (5 ft 7 in)", "Vienna", "Eliminated in Episode 1"], ["Michaela Schopf", "21", "172 cm (5 ft 7.5 in)", "Salzburg (originally from Germany)", "Quit in Episode 4"], ["Nadine Trinker", "21", "183 cm (6 ft 0 in)", "Bode... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["2", "Clint Dempsey", "36", "103", "2004–present"], ["3", "Eric Wynalda", "34", "106", "1990–2000"], ["1", "Landon Donovan", "57", "155", "2000–present"], ["8", "Eddie Johnson", "19", "62", "2004–present"], ["4", "Brian McBride", "30", "95", "1993–2006"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Clint Dempsey | Answer: | 128 |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["St. Mary's Church", "Germany", "Stralsund", "151 / 500", "Church", "1549–1647", "Spire destroyed by lightning in 1647; today stands at a height of 104 metres (341 ft)."], ["Eiffel Tower", "France", "Pari... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Totals:\\n105 Seasons", "2 Conferences", "23 Head Coaches", "Total\\nWins\\n473", "Total\\nLosses\\n536", "Total... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Deaths other countries", "", "", "", "", "", "", "2,000"], ["Deaths In Prisons & Camps", "69,000", "210,000", "220,000", "266,000", "381,000", "", "1,146,000"], ["Deaths Outside of Prisons & Camps", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "65", "1301-1365", "Diesel", "Cummins ISL 280 HP \\nAllison B400 6-speed"], ["2013", "Gillig", "Low-floor Advantage", "40", "55", "6101-6155... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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)"], ["7", "August 19", "Mosport", "Greg Pickett", "Chevrolet Corvette", "Bob Tullius", "Jaguar XJS"], ["9", "October 8", "Laguna Seca", "Greg Pickett", "Chevrolet Corvette", "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:... | 7 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["6", "Peru", "1", "1", "2", "4"], ["5", "Argentina", "1", "2", "5", "8"], ["2", "Venezuela", "3", "2", "8", "13"], ["7", "Ecuador", "0", "2", "2", "4"], ["1", "Brazil", "7", "5", "3", "15"], ["9", "Uruguay", "0", "0", "1", "1"], ["4", "Chile",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["9 Sep 1920", "Bristol Rovers", "H", "0–2", "", "8,000"], ["16 Oct 1920", "Millwall", "A", "0–1", "", "20,000"], ["1 Sep 1920", "Bristol Rovers", "A", "2–3", "Walker, Wolstenholme", "10,000"], ["5 Mar 1921", "Brighton & Hove Albion",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["2012", "Formula 3 Euro Series", "Angola Racing Team", "21", "0", "0", "0", "0", "14", "14th"], ["2012", "59th Macau Grand Prix Formula 3", "Angola Racing Team", "2", "0", "0", "0", "0", "—", "23rd"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "–"], ["7", "India", "$1.4 billion", "2012", "–"], ["9", "Russia", "$1.2 billion", "2012", "–"], ["4", "United Kingdom", "$1.7 billion", "2012", "36.1% (2011)"], ["5", "France", "$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:... | 10 | Answer: | 128 |
Table InputTable: [["Frequency", "Call sign", "Name", "Format", "Owner", "Target city/market", "City of license"], ["104.1 FM", "WNAX-FM", "The Wolf 104.1", "Country", "Saga Communications", "Yankton/Vermillion", "Yankton"], ["106.3 FM", "KVHT", "Classic Hits 106.3", "Classic Hits", "Cullhane Communications, Inc.", "Ya... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 25 film", "Movie film, 16 mm, daylight", "1974–2002"], ["Kodachrome film", "16 mm, daylight (ASA 10) & Type A (ASA 16)", "1935–1962"], ["Kodachrome Professional film", "35 mm, Type A (ASA 16)", "1956–1962"], ["Kodak Color Print Material", "Type D (slide duping 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:... | 1935 | Answer: | 128 |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["6", "Supercheap Auto Bathurst 1000", "Mount Panorama Circuit", "Bathurst, New South Wales", "8-11 Oct", "Jonathon Webb"], ["3", "Dunlop Townsville 400", "Townsville Street Circuit", "Townsville, Queensland", "10-12 Jul", "James Moffat"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["2011", "World Championships", "Daegu, South Korea", "9th", "5.65 m"], ["2012", "European Championships", "Helsinki, Finland", "6th", "5.60 m"], ["2014", "World Indoor Cha... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Škoda Superb", "−", "−", "−", "−", "−", "−", "−", "177", "16,867", "23,135", "22,392", "22,091", "20,989", "20,530", "25,645", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["27 November 1944", "South of Magdeburg, Germany", "Air", "4", "FW-190", "Destroyed"], ["25 January 1952", "Korea", "Air", "1", "Mig-15", "Damaged"], ["27 May 1944", "North of Strasbourg, France", "Air", "1", "Me-109", "Damaged"], ["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:... | Mig-15 | Answer: | 128 |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["David Berger", "Weightlifting", "Light-heavyweight <82.5 kg", "—", "J:132.5 C:122.5 S:— T:—"], ["Yair Michaeli", "Sailing", "Flying Dutchman", "23", "28-22-22-19-25-19-DNS = 171 pts\\n(left Kiel before 7th race)"], ["Gad Tsobari", "Wrestling", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Runner-up", "23 April 1984", "$200,000", "Orlando, United States", "Clay", "Wendy Turnbull", "Claudia Kohde-Kilsch\\n Hana Mandlíková", "0–6, 6–1, 3–6"], ["Runner-up", "16 April 1984", "$200,000", "Hilton H... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["2011", "5 Mar 2011", "Kranjska Gora, Slovenia", "Giant Slalom", "", "", "", ""], ["2010", "6 Dec 2009", "Beaver Creek, USA", "Giant Slalom", "", "", "", ""], ["2010", "12 Mar 2010", "Garmisch, Germany", "Gi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["7", "254", "Michael Green", "S", "Northwestern State"], ["2", "39", "Mike Brown", "S", "Nebraska"], ["6", "174", "Paul Edinger", "K", "Michigan State"], ["3", "69", "Dez White", "WR", "Georgia Tech... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["5", "Dr M. Shafi Ahmad", "1989", "1990", "University of London", "Astronomy", "Ph.D"], ["9", "Major General Ahmed Bilal", "2010", "Present", "Pakistan Army Corps of Signals Engineering", "Computer ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["Patuxent", "T-AO-201", "Active", "1995–present", "AO201"], ["Big Horn", "T-AO-198", "Active", "1992–present", "AO198"], ["Laramie", "T-AO-203", "Active", "1996–present", "AO20... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["2001", "World Championships", "Edmonton, Canada", "18th (sf)", "400 m hurdles", "49.80"], ["2007", "World Championships", "Osaka, Japan", "3rd", "4x400 m relay", "3:00.05"], ["2007", "World Championships", "Osaka, Japan", "3rd", "400 m... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Adygean Republic", "Alissa Joanndova", "Алисса Йоанндова", "19", "1.83 m (6 ft 0 in)", "Tulsky"], ["Altai Krai", "Anastasija Nindova", "Анастасия Ниндова", "22", "1.74 m (5 ft 8 1⁄2 in)", "Barnaul"], ["Chuvash Republic", "Martha... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["5", "40", "October 12, 2009", "June 14, 2010"], ["3", "44", "October 15, 2007", "June 2, 2008"], ["6", "20", "September 6, 2010", "December 6, 2010"], ["2", "52", "October 7, 2006", "July 16, 2007"], ["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", "1.", "13 February 2011", "Rancho Mirage, United States", "Hard", "Karolína Plíšková", "Nadejda Guskova\\n Sandra Zaniewska", "6–7(6–8), 6–1, 6–4"], ["Winner", "2.", "7 August 2011", "Vancouver, Canada", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["17", "20", "Ed Carpenter", "Vision Racing", "84", "+ 1 Lap", "21", "0", "13"], ["1", "9", "Scott Dixon", "Chip Ganassi Racing", "85", "1:46:05.7985", "3", "51", "52"], ["19", "7", "Danica Patrick", "Andretti Gre... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["6", "Lord Great Chamberlain", "The Marquess of Cholmondeley", "Lord High Treasurer", "Lord Chamberlain"], ["2", "Lord High Chancellor", "The Rt Hon Chris Grayling, MP", "", ""], ["1", "Lord High Steward", "vacant", "Ju... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Justiciar | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Winner", "1.", "13 February 2011", "Rancho Mirage, United States", "Hard", "Karolína Plíšková", "Nadejda Guskova\\n Sandra Zaniewska", "6–7(6–8), 6–1, 6–4"], ["Runner-up", "3.", "20 November 2011", "Bratislava, Sl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Karolína Plíšková | Answer: | 128 |
Table InputTable: [["Pick #", "NFL Team", "Player", "Position", "College"], ["3", "Baltimore Colts", "Alan Ameche", "Fullback", "Wisconsin"], ["9", "Philadelphia Eagles", "Dick Bielski", "Fullback", "Maryland"], ["12", "Detroit Lions", "Dave Middleton", "Halfback", "Auburn"], ["8", "New York Giants", "Joe Heap", "Halfb... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["1997", "141", "", "", ""], ["1996", "130", "", "", ""], ["1995", "139", "", "", ""], ["1998", "153", "14", "", ""], ["1994", "154", "", "", ""], ["2009", "no data", "12", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2003 | Answer: | 128 |
Table InputTable: [["Network name", "Flagship", "Programming type", "Owner", "Affiliates"], ["Azteca 13", "XHDF 13", "news, soap operas, and sports", "TV Azteca", "4"], ["Azteca 7", "XHIMT 7", "sports, series, and movies", "TV Azteca", "5"], ["Galavisión", "XEQ 9", "retro programming and sports", "Televisa", "1"], ["Ca... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs"], ["2005", "1", "USL W-League", "6th, Western", ""], ["2006", "1", "USL W-League", "5th, Western", ""], ["2003", "2", "USL W-League", "5th, Western", ""], ["2007", "1", "USL W-League", "5th, Western", ""], ["2009", "1", "USL W-League", "7th, We... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["10", "Oct 30", "vs. Hamilton Tiger-Cats", "30–9", "Loss", "1–11"], ["1", "Aug 28", "at Toronto Argonauts", "13–6", "Loss", "0–1"], ["6", "Oct 2", "at Hamilton Tiger-Cats", "45–0", "Loss", "1–6"], ["4", "Sept 18", "vs. Toronto Argonauts", "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:... | 4 | Answer: | 128 |
Table InputTable: [["Year", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1928", "8", "4", "117.031", "4", "10", "200", "33", "Running"], ["1927", "27", "27", "107.765", "22", "3", "200", "0", "Running"], ["1938", "17", "4", "122.499", "6", "17", "130", "0", "Rod"], ["1926", "31", "12", "102.78... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1926 | Answer: | 128 |
Table InputTable: [["Iteration", "Dates", "Location", "Attendance", "Notes"], ["GameStorm 15", "March 21–24, 2013", "Hilton - Vancouver, WA", "1188", ""], ["GameStorm 10", "March 2008", "Red Lion - Vancouver, WA", "750", "-"], ["GameStorm 13", "March 24–27, 2011", "Hilton - Vancouver, WA", "984", "Guests: Lisa Steenson... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 736 | Answer: | 128 |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Engine", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["13", "9", "Scott Dixon", "Chip Ganassi Racing", "Honda", "84", "+ 1 lap", "5", "0", "17"], ["11", "18", "Justin Wilson", "Dale Coyne Racing", "Honda", "84", "+ 1 lap", "20", "0", "19"], ["7", "77", "Si... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mike Conway | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["2004", "Olympic Games", "Athens, Greece", "3rd", "100 m hurdles"], ["2003", "World Indoor Championships", "Birmingham, England", "3rd", "60 m hurdles"], ["1997", "World Indoor Championships", "Paris, France", "5th", "60 m hurdles"], ["2000", "O... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Athens, Greece | Answer: | 128 |
Table InputTable: [["Year", "Recipient", "Nationality", "Profession", "Speech"], ["2001", "Cynthia Ozick", "United States", "Professional writer", ""], ["2005", "William Safire", "United States", "Author, journalist and speechwriter\\n1978 Pulitzer Prize winner", ""], ["2000", "Sir Martin Gilbert", "United Kingdom", "H... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["", "Name on the Register", "Date listed", "Location", "City or town", "Summary"], ["13", "Jenness Farm", "March 2, 2001\\n(#01000206)", "626 Pickering Rd.\\n43°14′36″N 70°56′12″W / 43.243333°N 70.936667°W", "Rochester", ""], ["24", "Rochester Commercial and Industrial District", "April 8, 1983\\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:... | 5 | Answer: | 128 |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2006", "Spartak Nizhny Novgorod", "Russia", "2", "36", "1"], ["2006/07", "Dnipro Dnipropetrovsk", "Ukraine", "1", "12", "0"], ["2005", "CSKA Moscow", "Russia", "1", "0", "0"], ["2004", "CSKA Moscow", "Russia", "1", "0", "0"], ["2011/12", "... | 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:... | 1 | Answer: | 128 |
Table InputTable: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["23", "Bernard Haenggeli", "Aprilia", "+2:41.806", ""], ["19", "Paolo Casoli", "Gilera", "+1:26.061", ""], ["18", "Bernd Kassner", "Aprilia", "+1:16:464", ""], ["16", "Frédéric Protat", "Aprilia", "+1:15.858", ""], ["14", "Jean-Michel Bayle"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Doriano Romboni | Answer: | 128 |
Table InputTable: [["Team", "Stadium", "Capacity", "City/Area"], ["Widnes Vikings (2014 season)", "The Select Security Stadium", "13,500", "Widnes, Cheshire, England"], ["Wigan Warriors (2014 season)", "DW Stadium", "25,138", "Wigan, Greater Manchester"], ["Warrington Wolves (2014 season)", "Halliwell Jones Stadium", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Wigan Warriors | Answer: | 128 |
Table InputTable: [["Date", "Festival", "Location", "Awards", "Link"], ["Oct 9", "London Int. Festival of Science Fiction Film", "London, England\\n UK", "Closing Night Film", "Sci-Fi London"], ["Oct 9, Oct 11", "Sitges Film Festival", "Sitges, Catalonia\\n Spain", "", "Sitges Festival"], ["Sep 19", "Lund International... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["10", "8", "Tim Schenken", "Brabham-Ford", "76", "+ 4 Laps", "18", ""], ["8", "27", "Henri Pescarolo", "March-Ford", "77", "+ 3 Laps", "13", ""], ["7", "22", "John Surtees", "Surtees-Ford", "79", "+ 1 Lap", "10", ""], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Period", "Live births per year", "Deaths per year", "Natural change per year", "CBR*", "CDR*", "NC*", "TFR*", "IMR*"], ["1950-1955", "139 000", "66 000", "74 000", "52.6", "24.8", "27.8", "6.86", "174"], ["1990-1995", "471 000", "192 000", "279 000", "55.5", "22.7", "32.8", "7.78", "146"], ["1965-1... | 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:... | 1965-1970 | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "1.", "25 October 2009", "Kremlin Cup, Russia", "Hard (i)", "Mikhail Youzhny", "7–6(7–5), 0–6, 4–6"], ["Winner", "2.", "23 October 2011", "Kremlin Cup, Russia", "Hard (i)", "Viktor Troicki", "6–4, 6–2"], ["Runner-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Russia | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Australia (AUS)", "2", "1", "0", "3"], ["5", "Switzerland (SUI)", "0", "2", "1", "3"], ["2", "Italy (ITA)", "1", "1", "1", "3"], ["3", "Germany (EUA)", "1", "0", "1", "2"], ["7", "France (FRA)", "0", "0", "1", "1"], ["7", "Great Britain ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Thread\\nnominal size", "Outer diameter\\n[mm (in)]", "Threads per inch\\n(TPI)", "Pitch\\n[in (mm)]", "Inner diameter\\n[mm (in)]", "Cable diameter\\n[mm (in)]"], ["PG42", "54.0 (2.126)", "16", "0.0625 (1.5875)", "52.48 (2.066)", ""], ["PG48", "59.3 (2.335)", "16", "0.0625 (1.5875)", "57.78 (2.275... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["7", "August 19", "Mosport", "Greg Pickett", "Chevrolet Corvette", "Bob Tullius", "Jaguar XJS"], ["4", "June 25", "Mont-Tremblant", "Monte Sheldon", "Porsche 935", "Bob Tul... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | USA | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1.", "Brazil", "21", "9", "12", "42"], ["9.", "Argentina", "0", "2", "0", "2"], ["2.", "United States", "9", "3", "6", "18"], ["8.", "Russia", "0", "2", "3", "5"], ["3.", "China", "1", "9", "8", "18"], ["7.", "Germany", "0", "5", "1", "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:... | Yes | Answer: | 128 |
Table InputTable: [["Year", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1929", "23", "11", "112.146", "15", "17", "91", "0", "Supercharger"], ["1928", "8", "4", "117.031", "4", "10", "200", "33", "Running"], ["1927", "27", "27", "107.765", "22", "3", "200", "0", "Running"], ["1933", "34", "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:... | 1928 | Answer: | 128 |
Table InputTable: [["Date", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["October 4", "Standard Liège", "UEFA Cup", "Round 1", "Leg 2, Home", "Zenit St. Petersburg", "Stade Maurice Dufrasne, Liège", "1-1"], ["October 4", "Club Brugge", "UEFA Cup", "Round 1", "Leg 2, Home", "Brann", "Jan Bre... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Golfer", "Country", "Wins", "Match Play", "Championship", "Invitational", "Champions"], ["Tiger Woods", "United States", "18", "3: 2003, 2004, 2008", "7: 1999, 2002, 2003,\\n2005, 2006, 2007, 2013", "8: 1999, 2000, 2001, 2005,\\n2006, 2007, 2009, 2013", "—"], ["Phil Mickelson", "United States", "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:... | 22 | Answer: | 128 |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["12", "Brazil", "$0.72 billion", "2013", "17% (2013)"], ["11", "Italy", "$0.84 billion", "2013", "30% (2013)"], ["8", "Germany", "$1.3 billion", "2012", "–"], ["9", "Russia", "$1.2 billion", "2012", "–"], ["5", "France", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | $1.56 billion | Answer: | 128 |
Table InputTable: [["Restaurant", "Location", "Date Opened", "Date Closed"], ["Verre at the Hilton Dubai Creek", "Dubai, United Arab Emirates", "", "October 2011"], ["Maze by Gordon Ramsay", "The Pearl-Qatar, Doha, Qatar", "2010", "March 2012"], ["Maze / Maze Grill by Gordon Ramsay", "Crown Metropol, Melbourne, Austral... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | October 2011 | Answer: | 128 |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["19", "Chris Donnelly", "", "", "", "12", "-", "-", "-", "12"], ["", "Paul Barrett", "", "", "", "-", "-", "-", "12", "12"], ["21", "Brett Francis", "", "", "", "11", "-", "-", "-", "11"], ["", "Craig Wildridge... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mike Imrie | Answer: | 128 |
Table InputTable: [["District", "Location", "Communities served"], ["Saint Anselm School", "Chester Township, Ohio", "Roman Catholic Diocese of Cleveland K - 8th grade; preschool"], ["Saint Helen's School", "Newbury, Ohio", "Roman Catholic Diocese of Cleveland K - 8th grade; parishioners and non-parishioners"], ["Notre... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chester Township, Ohio | Answer: | 128 |
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