context stringlengths 362 4.81k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | max_new_tokens int64 128 128 | answer_prefix stringclasses 1
value |
|---|---|---|---|---|
Table InputTable: [["Period", "Live births per year", "Deaths per year", "Natural change per year", "CBR1", "CDR1", "NC1", "TFR1", "IMR1"], ["1950-1955", "9 000", "5 000", "4 000", "47.9", "27.1", "20.8", "6.67", "184.8"], ["1975-1980", "18 000", "8 000", "10 000", "45.8", "19.6", "26.2", "6.67", "133.2"], ["1955-1960"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1950-1955 | 128 | Answer: |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-1", "7 May 1918", "11 July 1918", "27 October 1918", "Sold 11 June 1930"], ["PE-12", "13 July 1918", "12 November 1918", "6 November 1919", "Sold 30 December 1935"], ["PE-55", "17 March 1919", "22 July 1919", "10 October 1919", "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:... | 11 July 1918 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Greece", "3", "4", "9", "16"], ["2", "Italy", "12", "8", "10", "30"], ["8", "Croatia", "0", "3", "3", "6"], ["9", "Egypt", "0", "1", "2", "3"], ["1", "France", "14", "7", "7", "28"], ["6", "Tunisia", "3", "0", "0", "3"], ["7", "Algeria",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Name", "Type", "Builder", "Works number", "Date", "Notes"], ["Lord Napier", "0-4-0ST", "Manning Wardle", "961", "1886", "Arsenal records say scrapped 1/1916 but remains still extant 9/1947 according to Railway Observer magazine (RCTS)"], ["Gunner", "0-4-0ST", "Manning Wardle", "581", "1876", "To J.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Barbados", "2007", "3", "4207", "Built for the Barbados Coast Guard. HMBS Leonard C Banfield and HMBS Rudyard Lewis were scheduled to be delivered in 2008. HMBS Trident was scheduled for delivery in 2009."], ["Canada", "2009", "9", "4207", "In 2009 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:... | Bulgaria | 128 | Answer: |
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"], ["2012", "Formula 3 Euro Series", "Angola Racing Team", "21", "0", "0", "0", "0", "14", "14th"], ["2012", "Masters 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:... | 2 | 128 | Answer: |
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:... | New Flyer, Gillig | 128 | Answer: |
Table InputTable: [["Date", "Time", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 29", "7:00 PM", "at #20 Nebraska", "#23", "Memorial Stadium • Lincoln, NE", "ABC", "L 27–30", "85,962"], ["September 15", "7:00 PM", "Utah State*", "#22", "Camp Randall Stadium • Madison, WI", "BTN", "W 16–14", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 93,505 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2008", "World Athletics Final", "Stuttgart, Germany", "2nd", "71.40 m"], ["2009", "World Championships", "Berlin, Germany", "3rd", "74.79 m"], ["2009", "World Athletics Final", "Thessaloniki, Greece", "3rd", "70.45 m"], ["2009", "World Student ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2009 | 128 | Answer: |
Table InputTable: [["Event", "Gold", "Time", "Silver", "Time", "Bronze", "Time"], ["K–1 4x200 m Relay", "Germany\\nNicole Reinhardt\\nConny Wassmuth\\nTina Dietze\\nCarolin Leonhardt", "2:49.541", "Russia\\nNatalia Lobova\\nAnastasiya Sergeeva\\nNatalia Proskurina\\nSvetlana Kudinova", "2:50.207", "Poland\\nMarta Walcz... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Krisztina Fazekas Zur (USA) | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["25 February 2006", "Birmingham City", "St. Andrew's", "0–1", "29,257", ""], ["31 January 2006", "Middlesbrough", "Stadium of Light", "0–3", "31,675", ""], ["1 May 2006", "Arsenal", "Stadium of Light", "0–3", "44,003", ""], ["25 March... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | 128 | Answer: |
Table InputTable: [["Rank", "Island", "Area\\n(km²)", "Area\\n(sq mi)", "Country/Countries/Region"], ["223", "Vormsi", "92", "36", "Estonia"], ["285", "Dzharylgach", "56", "21.5", "Ukraine"], ["211", "Sylt", "99", "38", "Germany"], ["239", "Syros", "84", "33", "Greece"], ["282", "Symi", "58", "22", "Greece"], ["229", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7km | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time"], ["7", "Carolyn Adel", "Suriname", "5:13.24"], ["", "Jenny Kurth", "United States", "4:57.24"], ["", "Joanne Malar", "Canada", "4:43.64"], ["8", "Edith Arraspide", "Argentina", "5:13.95"], ["5", "Fabíola Molina", "Brazil", "5:03.43"], ["4", "Sonia Fonseca", "Pu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4.67 | 128 | Answer: |
Table InputTable: [["Cellulose ethers", "Reagent", "Example", "Reagent", "Group R = H or", "Water solubility", "Application", "E number"], ["Carboxyalkyl", "Halogenated carboxylic acids", "Carboxymethyl cellulose (CMC)", "Chloroacetic acid", "-CH2COOH", "Cold/Hot water soluble", "Often used as its sodium salt, sodium c... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["1.", "18238", "Chhatisgarh Express", "01:23", "01:25", "Daily"], ["33.", "18237", "Chhatisgarh Express", "23:09", "23:10", "Daily"], ["25.", "12722", "Dakshin Express", "16:00", "16:02", "Daily"], ["12.", "51829", "Nagpur... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 35 | 128 | Answer: |
Table InputTable: [["Tie no", "Home team", "Score", "Away team", "Date", "Attendance"], ["2", "Southampton", "1 – 1", "Millwall", "25 January 2003", "23,809"], ["15", "Farnborough Town", "1 – 5", "Arsenal", "25 January 2003", "35,108"], ["14", "Crystal Palace", "0 – 0", "Liverpool", "26 January 2003", "26,054"], ["Repl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 25 January 2003 | 128 | Answer: |
Table InputTable: [["Route", "Name", "Fare Type", "Terminals", "Terminals", "Major streets", "Notes", "History"], ["G2", "P Street-LeDroit Park Line", "Local", "Georgetown University (37th & O Streets NW)", "LeDroit Park (Bryant & 4th Streets NW)", "P Street NW", "", ""], ["D5", "MacArthur Boulevard-Georgetown Line", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | E6 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1991", "World Championships", "Tokyo, Japan", "6th", "Marathon", "2:15:58"], ["1990", "European Championships", "Split, FR Yugoslavia", "4th", "Marathon", "2:17:45"], ["1992", "Olympic Games", "Barcelona, Spain", "5th", "Marathon", "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:... | 1990 | 128 | Answer: |
Table InputTable: [["Year", "Team Record\\nW", "Team Record\\nL", "Playoffs"], ["2005", "3", "5", "Did Not Make Playoffs"], ["2009", "5", "5", "Did Not Make Playoffs"], ["2010", "5", "5", "Did Not Make Playoffs"], ["2002", "8", "1", "2nd Qualifier, Region 2"], ["2003", "8", "1", "2nd Qualifier, Region 2"], ["2001", "7"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2007 | 128 | Answer: |
Table InputTable: [["Series", "Name", "Age", "Hometown", "Occupation", "Status"], ["BB1", "Andrew Davidson", "23", "Hertfordshire", "Marketing Product Manager", "10th - Evicted"], ["BB11", "Dave (David) Vaughan", "39", "Torfaen", "Minister", "2nd - Runner-up"], ["BB9", "Sara Folino", "27", "London", "Personal Assistant... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Caroline O'Shea | 128 | Answer: |
Table InputTable: [["Date of Incident", "Offender", "Team", "Offense", "Date of Action", "Length"], ["September 23, 2011", "Brad Staubitz", "Minnesota Wild", "Checking Cody Bass from behind.", "September 26, 2011", "7 games† (4 pre-season, 3 regular season)"], ["September 24, 2011", "Brad Boyes", "Buffalo Sabres", "Ill... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Date", "Festival", "Location", "Awards", "Link"], ["Sep 28", "Fantastic Fest", "Austin, Texas\\n USA", "", "FantasticFest.com"], ["Oct 9, Oct 11", "Sitges Film Festival", "Sitges, Catalonia\\n Spain", "", "Sitges Festival"], ["Nov 16–18", "AFF", "Wrocław, Lower Silesia\\n Poland", "", "AFF Poland"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["13", "123", "John Holt", "West Indies", "NR", "2", "India", "6 February 1959", "Drawn"], ["29", "192*", "Viv Richards (1/2)", "West Indies", "NR", "2", "India", "11 December 1974", "Won"], ["20", "189*", "Vijay... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chandu Borde | 128 | Answer: |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7UV", "Ulverstone", "", "AM", "Moved to Devonport and changed call to 7AD in 1940", "7AD", "Commercial"], ["7ZL", "Hobart", "0603", "AM", "Changed call to 7RN in 1991", "7RN", "National"], ["7QT", "Queenstown", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1940 | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Winner", "1.", "May 17, 1993", "Coral Springs, Florida, USA", "Clay", "David Wheaton", "6–3, 6–4"], ["Runner-up", "7.", "May 9, 1994", "Pinehurst, USA", "Clay", "Jared Palmer", "4–6, 6–7(5–7)"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jim Courier | 128 | Answer: |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2007", "New South Wales", "", "Alkupitja", "Cat Tigers", "CGA Cougars"], ["2008", "Queensland", "", "Katherine", "Cooktown", "New South Wales"], ["2012... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Date", "Venue", "Opponent", "Result", "Scoreline", "China scorers"], ["April 23", "Los Angeles", "El Salvador", "Drawn", "2-2", "Xiao Zhanbo 62' pen\\nQu Bo 63'"], ["March 15", "Kunming", "Thailand", "Drawn", "3-3", "Qu Bo 34'\\nHan Peng 67'\\nZhu Ting 90'"], ["January 10", "Dubai", "United Arab Em... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Date", "Rnd", "Race Name", "Circuit", "City/Location", "Pole position", "Winning driver", "Winning team", "Report"], ["5", "June 17", "Valvoline Grand Prix of Detroit", "Streets of Detroit", "Detroit, Michigan", "Michael Andretti", "Michael Andretti", "Newman/Haas Racing", "Report"], ["12", "Septem... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 days | 128 | Answer: |
Table InputTable: [["Date introduced", "Class 1 (e.g. Motorbike)", "Class 2 (e.g. Car)", "Class 3 (e.g. Car with trailer)", "Class 4 (e.g. Van)", "Class 5 (e.g. HGV)"], ["1 January 2009", "£2.70", "£4.70", "£8.40", "£9.40", "£9.40"], ["1 January 2008", "£2.50", "£4.50", "£8.00", "£9.00", "£9.00"], ["1 March 2012", "£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:... | 6.70 | 128 | Answer: |
Table InputTable: [["Season/Torneo", "Jornada or Other", "Home Team", "Result", "Away Team", "Stadium", "Date"], ["1988–1989 season", "31", "América", "3–1", "Chivas", "Estadio Azteca", "30 April 1989"], ["1988-1989 Season", "Liquilla", "Chivas", "1-2", "América", "Estadio Jalisco", "June 25, 1989"], ["1983–1984 season... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1983-1984 season | 128 | Answer: |
Table InputTable: [["Date of Incident", "Offender", "Team", "Offense", "Date of Action", "Length"], ["December 31, 2011", "Ian Cole", "St. Louis Blues", "Illegal hit to the head of Justin Abdelkader.", "January 1, 2012", "3 games"], ["November 23, 2011", "Andre Deveaux", "New York Rangers", "Illegal hit to the head of ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jody Shelley, James Wisniewski, Raffi Torres | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "2008..", "[[]]", "[[]]", "-"], ["GL-B-4", "2008..", "[[]]", "[[]]", "-"], ["GL-B-6", "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:... | 6 | 128 | Answer: |
Table InputTable: [["Rank", "Island", "Area\\n(km²)", "Area\\n(sq mi)", "Country/Countries/Region"], ["235", "Mykonos", "86", "34", "Greece"], ["288", "Inner-Vikna (inner island of Vikna archipelago)", "55", "21", "Norway"], ["243", "Ytre Vikna (outer island of Vikna archipelago)", "83", "32", "Norway"], ["273", "Graci... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Greece | 128 | Answer: |
Table InputTable: [["#", "Directed By", "Written By", "Original Air Date"], ["7", "Frank W. Smith", "Fran Carroll", "November 9, 1997"], ["9", "Douglas Mackinnon", "Neil McKay", "November 23, 1997"], ["8", "Douglas Mackinnon", "Neil McKay", "November 16, 1997"], ["15", "Frank W. Smith", "Dave Humphries", "February 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:... | Carroll, Humphries, McKay, Sharkey | 128 | Answer: |
Table InputTable: [["Result", "Record", "Opponent", "Method", "Date", "Round", "Location"], ["Win", "29-1-0", "Sid Stoneman", "KO", "1934 Feb 14", "1", "Cambridge, Massachusetts"], ["Win", "31-1-0", "Frankie Hagen", "KO", "1934 Feb 24", "1", "Cambridge, Massachusetts"], ["Exch", "16-0-0", "\"Irish\" Tommy Mitchell", "K... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | 128 | Answer: |
Table InputTable: [["Name", "Owner", "Location", "Notes", "Transmission", "Website"], ["Rai Visradio", "RAI", "Naples", "Visual Radio station", "DAB, DVB-S", ""], ["Radio Kiss Kiss", "", "Naples", "Commercial;", "FM, DVB-S", "http://www.kisskiss.it"], ["Radio 24", "Il Sole 24 Ore", "Milan", "Commercial; News/Talk", "FM... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Site", "Municipality", "Comments", "Coordinates", "Type", "Ref."], ["Shukkei-en\\n縮景園\\nShukukei-en", "Hiroshima", "", "34°24′02″N 132°28′04″E / 34.40050182°N 132.46770735°E", "1", "[5]"], ["*Itsukushima\\n厳島\\nItsukushima", "Hatsukaichi", "also a Special Historic Site; Itsukushima Jinja is inscr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 34°24′02″N 132°28′04″E / 34.40050182°N 132.46770735°E | 128 | Answer: |
Table InputTable: [["isn", "name", "arrival\\ndate", "departure\\ndate", "notes"], ["82", "Rasul Kudayev", "", "2004-02-27", "Repatriated to Russia on January 3, 2004.[citation needed]\\nReported to have been repatriated on 24 February 2004 with six other Russian men.\\nAlso called \"Abdullah D. Kafkas\"."], ["674", "T... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ravil Shafeyavich Gumarov | 128 | Answer: |
Table InputTable: [["Ship", "Hull No.", "Status", "Years Active", "NVR\\nPage"], ["Henry Eckford", "T-AO-192", "Cancelled when 84% complete,\\ntransferred to the Maritime Administration,\\nlaid up in the James River Reserve Fleet,\\nscrapped in 2011", "Launched 1989, never in service", "AO192"], ["Benjamin Isherwood", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 14 | 128 | Answer: |
Table InputTable: [["Wrestler:", "Times:", "Date:", "Location:", "Notes:"], ["Tigers Mask", "4", "May 19, 2013", "Osaka, Japan", "Defeated Billyken Kid in the finals of a four-man tournament to win the vacant title."], ["Tigers Mask", "2", "July 29, 2010", "Osaka, Japan", ""], ["Tigers Mask", "1", "February 12, 2007", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | May 19, 2013 | 128 | Answer: |
Table InputTable: [["Year", "Team Record\\nW", "Team Record\\nL", "Playoffs"], ["2009", "5", "5", "Did Not Make Playoffs"], ["2005", "3", "5", "Did Not Make Playoffs"], ["2010", "5", "5", "Did Not Make Playoffs"], ["2006", "5", "4", "4th Qualifier, Region 2"], ["2004", "7", "2", "2nd Qualifier, Region 2"], ["2003", "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:... | 3 | 128 | Answer: |
Table InputTable: [["No", "Driver", "Entrant", "Constructor", "Chassis", "Engine"], ["4", "Louis Chiron", "Automobiles Ettore Bugatti", "Bugatti", "Bugatti T35B", "2.3 L8"], ["2", "Luigi Arcangeli", "Officine Alfieri Maserati", "Maserati", "Maserati 26M", "2.5 L8"], ["22", "Mario Tadini", "Scuderia Ferrari", "Alfa Rome... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | .2 | 128 | Answer: |
Table InputTable: [["Season", "Footballer", "Club", "Position", "Nationality"], ["1998-99", "Roger Feutmba", "Mamelodi Sundowns", "MF", "Cameroon"], ["1997-98", "Raphael Chukwu", "Mamelodi Sundowns", "FW", "Nigeria"], ["2001-02", "Jabu Pule", "Kaizer Chiefs", "MF", "South Africa"], ["2003-04", "Tinashe Nengomasha", "Ka... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Roger Feutmba | 128 | Answer: |
Table InputTable: [["Aircraft", "Origin", "Type", "In service", "Notes"], ["Beechcraft Super King Air 350", "USA", "Light transport", "1", "in service since 2004"], ["Cessna 208 Caravan", "USA", "Light transport", "1", "in service since 2007"], ["Partenvia P.68 Observer", "Italy", "Light transport aircraft", "1", "in 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:... | Piper PA-31 Navajo | 128 | Answer: |
Table InputTable: [["Club performance\\nSeason\\nNorway", "Club performance\\nClub\\nNorway", "Club performance\\nLeague\\nNorway", "League\\nApps\\nLeague", "League\\nGoals\\nLeague", "Cup\\nApps\\nNorwegian Cup", "Cup\\nGoals\\nNorwegian Cup", "Total\\nApps\\nTotal", "Total\\nGoals\\nTotal"], ["2006–07", "Groningen",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1999 | 128 | Answer: |
Table InputTable: [["Leg", "Stage", "Time", "Name", "Length", "Winner", "Time", "Avg. spd.", "Rally leader"], ["1\\n(16 Feb)", "SS1", "07:43", "Loten 1", "30.30 km", "M. Hirvonen", "16:14.1", "111.98 km/h", "M. Hirvonen"], ["3\\n(18 Feb)", "SS17", "10:05", "Hamar 2", "1.14 km", "X. Pons\\n S. Loeb\\n P. Solberg", "1:11... | 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:... | 3 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "Lusophony Games", "Macau", "1st", "800 m", "2:07.34"], ["2006", "Commonwealth Games", "Melbourne, Australia", "9th (sf)", "800 m", "2:01.84"], ["2003", "All-Africa Games", "Abuja, Nigeria", "11th (h)", "800 m", "2:05.19"], ["20... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2010", "23", "28", "–", "–", "13", "23", "—"], ["2013", "26", "37", "–", "17", "28", "30", "—"], ["2008", "21", "38", "–", "–", "35", "13", "—"], ["2009", "22", "9", "–", "40", "2", "5", "50"], ["2011", "24... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2010 | 128 | Answer: |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["October 10", "Indiana", "#15", "Kinnick Stadium • Iowa City, IA", "", "W 42-28", "60,000"], ["October 24", "Minnesota", "#6", "Kinnick Stadium • Iowa City, IA (Floyd of Rosedale)", "ABC", "L 10-12", "60,000"], ["September 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:... | 6 | 128 | Answer: |
Table InputTable: [["", "1980", "1975", "1975", "1985", "1985"], ["Africa", "469,618,000", "408,160,000", "61,458,000", "541,814,000", "72,196,000"], ["Latin-America\\n& Caribbean", "361,401,000", "321,906,000", "39,495,000", "401,469,000", "40,068,000"], ["Asia", "2,632,335,000", "2,397,512,000", "234,823,000", "2,887... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Asia | 128 | Answer: |
Table InputTable: [["Year", "Title", "Chart positions\\nAU", "Chart positions\\nCA", "Chart positions\\nIE", "Chart positions\\nNL", "Chart positions\\nNZ", "Chart positions\\nUK", "Chart positions\\nUS\\nHot 100", "Chart positions\\nUS\\nAirplay", "Chart positions\\nUS\\nAlternative"], ["1997", "\"All I Really Want\""... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Ironic" | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["Ret", "Andre Romein", "Honda", "Retirement", ""], ["24", "Henk Van De Lagemaat", "Honda", "+1 Lap", ""], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["Ret", "Maurice Bolwerk", "TSR-Honda", "Retirement", ""], ["8", "Stefano Perugin... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Deaths Outside of Prisons & Camps", "", "42,000", "71,000", "142,000", "218,000", "", "473,000"], ["Deaths In Prisons & Camps", "69,000", "210,000", "220,000", "266,000", "381,000", "", "1,146,000"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Deaths In Prisons & Camps | 128 | Answer: |
Table InputTable: [["#", "Title", "Singer(s)", "Lyricist", "Length"], ["3", "\"Mera Juta Hai Japani\"", "Mukesh", "Shailendra", "4:33"], ["5", "\"O Janewale\"", "Lata Mangeshkar", "Hasrat Jaipuri", "2:20"], ["4", "\"Mudh Mudh Ke Na Dekh\"", "Lata Mangeshkar, Manna Dey", "Shailendra", "6:34"], ["1", "\"Dil Ka Haal Sune ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "O Janewale" | 128 | Answer: |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["Burj Khalifa", "United Arab Emirates", "Dubai", "829.8 / 2,722", "Skyscraper", "2007–present", "Topped-out on 17 January 2009"], ["Eiffel Tower", "France", "Paris", "300.6 / 986", "Tower", "1889–1930", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | CN Tower | 128 | Answer: |
Table InputTable: [["Year", "Manufacturer", "Model", "Length (feet)", "Quantity", "Fleet Series", "Fuel Propulsion", "Powertrain"], ["1996", "New Flyer", "D60", "60 (articulated)", "30", "1901-1930*", "Diesel", "Detroit Diesel Series 50\\nAllison B400R"], ["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:... | 416 | 128 | Answer: |
Table InputTable: [["Award", "Category", "Nominee", "Result"], ["Golden Globe Awards, 1972", "Best Director", "William Friedkin", "Won"], ["Golden Globe Awards, 1972", "Best Motion Picture", "Phillip D'Antoni", "Won"], ["Golden Globe Awards, 1972", "Best Actor", "Gene Hackman", "Won"], ["Golden Globe Awards, 1972", "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:... | 3 | 128 | Answer: |
Table InputTable: [["School", "2007", "2008", "2009", "2010", "2011"], ["Santee Education Complex", "", "502", "521", "552", "565"], ["Marc and Eva Stern Math and Science School", "718", "792", "788", "788", "809"], ["Woodrow Wilson High School", "582", "585", "600", "615", "636"], ["James A. Garfield High School", "55... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | 128 | Answer: |
Table InputTable: [["Poll Source", "Sample Size", "Margin of Error", "Date", "Democrat", "%", "Republican", "%"], ["Rasmussen Reports", "500", "4.5", "Mar 31, 2008", "Hillary Clinton", "36", "John McCain", "51"], ["Rasmussen Reports", "500", "4.5", "Mar 31, 2008", "Barack Obama", "46", "John McCain", "42"], ["Survey US... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["#", "Title", "Singer(s)", "Lyricist", "Length"], ["1", "\"Dil Ka Haal Sune Dilwaala\"", "Manna Dey", "Shailendra", "5:36"], ["3", "\"Mera Juta Hai Japani\"", "Mukesh", "Shailendra", "4:33"], ["4", "\"Mudh Mudh Ke Na Dekh\"", "Lata Mangeshkar, Manna Dey", "Shailendra", "6:34"], ["6", "\"Pyar Hua Iqr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Olympics", "Athlete", "Judge (Official)", "Coach", "Language"], ["1948 Summer Olympics", "Donald Finlay", "-", "-", "English"], ["1924 Summer Olympics", "Géo André", "-", "-", "French."], ["1976 Summer Olympics", "Pierre St.-Jean", "Maurice Fauget", "-", "French (St.-Jean)/English (Fauget)"], ["198... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | English | 128 | Answer: |
Table InputTable: [["Atomic\\nno.", "Name", "Symbol", "Group", "Period", "Block", "State at\\nSTP", "Occurrence", "Description"], ["10", "Neon", "Ne", "18", "2", "p", "Gas", "Primordial", "Noble gas"], ["62", "Samarium", "Sm", "3", "6", "f", "Solid", "Primordial", "Lanthanide"], ["37", "Rubidium", "Rb", "1", "5", "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:... | 6 | 128 | Answer: |
Table InputTable: [["Year", "Matches", "Winner", "Results", "Pakistan\\nCaptain", "Pakistan\\nCoach", "India\\nCaptain", "India\\nCoach"], ["1988", "6", "Draw", "2 - 2", "Nasir Ali", "Manzoor-ul-Hasan", "M. M. Somaya", "M. P. Ganesh"], ["1986", "7", "India win", "3 - 2", "Hassan Sardar", "Anwar Ahmad Khan", "Mohmmad Sh... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Jamaica", "2005", "3", "4207", "The three vessels which form the County-class are HMJS Surrey, HMJS Cornwall and HMJS Middlesex. They were built in the Netherlands, and the last vessel was delivered in December 2006."], ["Netherlands", "2001", "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:... | Jamaica | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2002", "Asian Games", "Busan, South Korea", "2nd", "4x400 m relay", ""], ["2005", "Asian Championships", "Incheon, South Korea", "2nd", "4x400 m relay", ""], ["2005", "Universiade", "Izmir, Turkey", "6th", "4x400 m relay", ""], ["2007"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2nd | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["21", "South Korea", "0", "0", "1", "1"], ["10", "Yugoslavia", "3", "1", "1", "5"], ["17", "Czechoslovakia", "0", "1", "0", "1"], ["15", "Romania", "0", "4", "2", "6"], ["12", "Bulgaria", "1", "1", "1", "3"], ["1", "Soviet Union", "26", "17", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yugoslavia | 128 | Answer: |
Table InputTable: [["Rank", "Island", "Area\\n(km²)", "Area\\n(sq mi)", "Country/Countries/Region"], ["279", "Šolta", "59", "23", "Croatia"], ["299", "Ugljan", "50", "19", "Croatia"], ["224", "Rab", "91", "36", "Croatia"], ["227", "Vis", "90", "35", "Croatia"], ["270", "Pašman", "63", "24", "Croatia"], ["295", "San Pie... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["Date", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["November 8, 2008", "Colorado Springs", "Air Force", "38", "Colorado State", "17", "AFA 27–19–1"], ["October 17, 1992", "Colorado Springs", "Colorado State", "32", "Air Force", "28", "AFA 20–10–1"], ["September... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2003", "All-Africa Games", "Abuja, Nigeria", "5th", "Shot put", "17.76 m"], ["2004", "African Championships", "Brazzaville, Republic of the Congo", "2nd", "Discus throw", "63.50 m"], ["2007", "All-Africa Games", "Algiers, Algeria", "3r... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2nd | 128 | Answer: |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["4", "September 27, 1998", "FOX 10:00 am MT", "at St. Louis Rams", "W 20–17", "55,832"], ["13", "November 29, 1998", "FOX 11:00 am MT", "at Kansas City Chiefs", "L 34–24", "69,613"], ["15", "December 13, 1998", "FOX 11:00 am MT", "at P... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dallas Cowboys | 128 | Answer: |
Table InputTable: [["Name", "City", "Hospital beds", "Operating rooms", "Total", "Trauma designation", "Affiliation", "Notes"], ["Hugh Chatham Memorial Hospital", "Elkin", "220", "8", "228", "-", "QHR", "-"], ["Morehead Memorial Hospital", "Eden", "229", "8", "237", "-", "QHR", "-"], ["Lenoir Memorial Hospital", "Kinst... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Duke University Hospital | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["10", "Luis d'Antin", "Honda", "+25.044", "6"], ["22", "Massimo Pennacchioli", "Honda", "+1:59.498", ""], ["2", "Loris Capirossi", "Honda", "+0.090", "20"], ["9", "Carlos Cardús", "Honda", "+4.893", "7"], ["11", "Alberto Puig", "Honda", "+25... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Conference", "# of Bids", "Record", "Win %", "Round\\nof 32", "Sweet\\nSixteen", "Elite\\nEight", "Final\\nFour", "Championship\\nGame"], ["Western Athletic", "1", "1–1", ".500", "1", "–", "–", "–", "–"], ["Big Ten", "5", "9–5", ".643", "4", "2", "2", "1", "–"], ["West Coast", "2", "0–2", "–", "–",... | 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:... | Southeastern | 128 | Answer: |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["7", "Mike Imrie", "4", "Saab", "Imrie Motor Sport", "23", "11", "-", "28", "62"], ["2", "Kerry Baily", "18", "Toyota Supra Chevrolet", "Kerry Baily", "38", "38", "36", "38", "150"], ["13", "Chris Fing", "", "C... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mike Imrie | 128 | Answer: |
Table InputTable: [["Date", "Rnd", "Race Name", "Circuit", "City/Location", "Pole position", "Winning driver", "Winning team", "Report"], ["3", "May 27", "74th Indianapolis 500", "Indianapolis Motor Speedway", "Speedway, Indiana", "Emerson Fittipaldi", "Arie Luyendyk", "Doug Shierson Racing", "Report"], ["14", "Septemb... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["6", "134*", "Graeme Smith", "South Africa", "124", "2", "India", "25 November 2005", "Won"], ["2", "107*", "Desmond Haynes", "West Indies", "137", "1", "Pakistan", "1 November 1989", "Lost"], ["12", "106", "Nas... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Stage", "Date", "Route", "Terrain", "Length", "Winner", "Race leader"], ["1", "30 June", "Paris – Caen", "Plain stage", "208 km (129 mi)", "Alfred Haemerlinck (BEL)", "Alfred Haemerlinck (BEL)"], ["15", "17 July", "Nice – Gap", "Stage with mountain(s)", "233 km (145 mi)", "Jef Demuysere (BEL)", "An... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Belgium | 128 | Answer: |
Table InputTable: [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["James Carruthers", "Steamer", "Lake Huron", "near Kincardine", "18 lost"], ["Argus", "Steamer", "Lake Huron", "25 miles off Kincardine, Ontario", "25 lost"], ["Hydrus", "Steamer", "Lake Huron", "near Lexington, Michigan", "28 lost"], ["P... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 71 | 128 | Answer: |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-1", "7 May 1918", "11 July 1918", "27 October 1918", "Sold 11 June 1930"], ["PE-15", "21 July 1918", "25 January 1919", "11 June 1919", "Sold 14 June 1934"], ["PE-11", "13 July 1918", "14 November 1918", "29 May 1919", "Sold 16 Ja... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | PE-1 | 128 | Answer: |
Table InputTable: [["Year", "Single", "Peak chart\\npositions\\nUS Country", "Peak chart\\npositions\\nCAN Country", "Album"], ["1984", "\"I'm a Country Song\"", "72", "—", "singles only"], ["1977", "\"I'm Gonna Love You Right Out of This World\"", "21", "38", "singles only"], ["1976", "\"Mahogany Bridge\"", "84", "—",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Adygean Republic", "Alissa Joanndova", "Алисса Йоанндова", "19", "1.83 m (6 ft 0 in)", "Tulsky"], ["Bashkortostan Republic", "Aimee Neosaranova", "Аимее Неосаранова", "19", "1.77 m (5 ft 9 1⁄2 in)", "Ufa"], ["Krasnodar Krai", "P... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 60 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "Commonwealth Games", "Melbourne, Australia", "4th", "Discus throw", "60.99 m"], ["2000", "World Junior Championships", "Santiago, Chile", "1st", "Discus throw", "59.51 m"], ["2006", "Commonwealth Games", "Melbourne, Australia",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 59.51 m, 17.76 m, 62.86 m, 63.50 m, 62.58 m, 18.44 m, 60.99 m, 57.79 m, 56.98 m | 128 | Answer: |
Table InputTable: [["Common name", "District", "Hebrew", "Arabic", "Population\\n(2009)", "Area\\n(km²)", "Mayor"], ["Ashdod", "South", "אשדוד", "أشدود", "206,400", "47.242", "Yehiel Lasri"], ["Eilat", "South", "אילת", "إيلات", "47,400", "84.789", "Meir Yitzhak Halevi"], ["Safed", "North", "צפת", "صفد", "29,500", "29.2... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Eilat | 128 | Answer: |
Table InputTable: [["Sl no", "Name of the prabandham", "Starting from", "Ending with", "Number of pasurams", "Sung by"], ["", "Total number of pasurams", "", "", "3776", ""], ["3", "Nachiar Tirumozhi", "504", "646", "143", "Aandaal"], ["5", "Thiruchchanda Viruththam", "752", "871", "120", "Thirumalisai alvar"], ["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:... | 23 | 128 | Answer: |
Table InputTable: [["Team 1", "Agg.", "Team 2", "1st leg", "2nd leg"], ["Valencia Mestalla", "4–2", "Sevilla Atlético", "3–0", "1–2"], ["Alcalá", "1–10", "Valencia", "1–3", "0–7"], ["Sevilla", "4–1", "Sant Andreu", "2–0", "2–1"], ["Córdoba", "3–1", "Bilbao Athletic", "1–0", "2–1"], ["Tenerife", "2–1", "Malgrat", "2–0",... | 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:... | Real Madrid | 128 | Answer: |
Table InputTable: [["#", "Title", "Singer(s)", "Lyricist", "Length"], ["5", "\"O Janewale\"", "Lata Mangeshkar", "Hasrat Jaipuri", "2:20"], ["2", "\"Ichak Dana Beechak Dana\"", "Mukesh, Lata Mangeshkar", "Hasrat Jaipuri", "5:08"], ["4", "\"Mudh Mudh Ke Na Dekh\"", "Lata Mangeshkar, Manna Dey", "Shailendra", "6:34"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Dil Ka Haal Sune Dilwaala", "Mera Juta Hai Japani" | 128 | Answer: |
Table InputTable: [["Golfer", "Country", "Wins", "Match Play", "Championship", "Invitational", "Champions"], ["Phil Mickelson", "United States", "2", "—", "1: 2009", "—", "1: 2009"], ["Tiger Woods", "United States", "18", "3: 2003, 2004, 2008", "7: 1999, 2002, 2003,\\n2005, 2006, 2007, 2013", "8: 1999, 2000, 2001, 2005... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Geoff Ogilvy | 128 | Answer: |
Table InputTable: [["Contestant", "Original\\nTribe", "First\\nSwitch", "Second\\nSwitch", "Merged\\nTribe", "Finish", "Ghost\\nIsland", "Total\\nVotes"], ["Vesna Đolović\\n38, Beograd", "Manobo", "Manobo", "Manobo", "Diwata", "2nd Runner-Up", "Locator of\\nHidden Immunity Idol\\n(Failed)\\nDay 46", "8"], ["Nikola Kova... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Ship", "Hull No.", "Status", "Years Active", "NVR\\nPage"], ["Henry Eckford", "T-AO-192", "Cancelled when 84% complete,\\ntransferred to the Maritime Administration,\\nlaid up in the James River Reserve Fleet,\\nscrapped in 2011", "Launched 1989, never in service", "AO192"], ["Benjamin Isherwood", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 16 | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["5", "27", "Hideki Mutoh", "Andretti Green Racing", "85", "+ 34.1839", "11", "0", "30"], ["6", "26", "Marco Andretti", "Andretti Green Racing", "85", "+ 46.7669", "13", "0", "28"], ["10", "11", "Tony Kanaan", "An... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Andretti Green Racing | 128 | Answer: |
Table InputTable: [["Year", "Result", "Award", "Film"], ["2008", "Nominated", "Outstanding Lead Actor - Comedy Series", "Two and a Half Men"], ["2008", "Nominated", "People's Choice Award Favorite Male TV Star", ""], ["2006", "Nominated", "Golden Globe Award for Best Actor – Television Series Musical or Comedy", "Two a... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Two and a Half Men | 128 | Answer: |
Table InputTable: [["Round", "Date", "Home/Away", "Opponent team", "Score", "Scorers"], ["7", "October 19, 2008", "Home", "KS Dinamo Tirana", "2–1", "Migen Memelli 32', Gjergji Muzaka 51'"], ["6", "October 4, 2008", "Away", "KS Bylis Ballsh", "0–0", ""], ["3", "September 14, 2008", "Home", "KF Partizani Tirana", "2–1... | 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:... | 2 | 128 | Answer: |
Table InputTable: [["Date", "Rnd", "Race Name", "Circuit", "City/Location", "Pole position", "Winning driver", "Winning team", "Report"], ["NC", "October 6", "Marlboro Challenge", "Nazareth Speedway", "Nazareth, Pennsylvania", "Michael Andretti", "Rick Mears", "Team Penske", "Report"], ["1", "April 8", "Autoworks 200",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Galles-Kraco Racing | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["2", "September 20, 1987", "at Seattle Seahawks", "L 43–14", "61,667"], ["15", "December 27, 1987", "Seattle Seahawks", "W 41–20", "20,370"], ["10", "November 22, 1987", "Green Bay Packers", "L 23–3", "34,611"], ["1", "September 13, 1987", "San D... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 41297 | 128 | Answer: |
Table InputTable: [["Season", "Class", "Moto", "Races", "Win", "Podiums", "Pole", "Pts", "Position"], ["2005", "125cc", "Derbi", "13", "0", "0", "0", "1", "36th"], ["2004", "125cc", "Aprilia", "1", "0", "0", "0", "0", "NC"], ["2008", "125cc", "Aprilia", "17", "1", "5", "0", "176", "5th"], ["2006", "125cc", "Derbi", "16... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | 128 | Answer: |
Table InputTable: [["decimal32", "decimal64", "decimal128", "decimal(32k)", "Format"], ["1", "1", "1", "1", "Sign field (bits)"], ["7", "16", "34", "p = 3×t/10+1 = 9×k−2", "Coefficient size (decimal digits)"], ["32", "64", "128", "32×k", "Total size (bits)"], ["−95", "−383", "−6143", "Emin = 1−Emax", "Smallest normaliz... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Nation", "Swimmers", "Time", "Time behind", "Notes"], ["6", "3", "Germany", "Jens Schreiber (1:49.08)\\nHeiko Hell (1:49.15)\\nLars Conrad (1:48.23)\\nChristian Keller (1:50.05)", "7:16.51", "9.18", ""], ["5", "2", "Canada", "Brent Hayden (1:49.08)\\nBrian Johns (1:49.15)\\nAndrew 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:... | .13 seconds | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2008", "Olympic Games", "Beijing, China", "40th (h)", "200 m", "21.00"], ["2008", "Asian Indoor Championships", "Doha, Qatar", "4th", "60 m", "6.81"], ["2008", "World Indoor Championships", "Valencia, Spain", "28th (h)", "60 m", "6.88"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 21.00 | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["159", "Johan Mellstrom", "Left Wing", "Sweden", "Chicago Black Hawks", "Falun (Sweden)"], ["157", "Petri Skriko", "Right Wing", "Finland", "Vancouver Canucks", "Saipa (Finland)"], ["149", "Rick Zombo", "Defence... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sweden | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["168", "Kevin Wortman", "Defense", "United States", "Calgary Flames", "American International College (NCAA)"], ["162", "Darcy Martini", "Defense", "Canada", "Edmonton Oilers", "Michigan Technological University... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
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