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: [["Poll Source", "Sample Size", "Margin of Error", "Date", "Democrat", "%", "Republican", "%"], ["Survey USA", "563", "4.2", "Feb 15-17, 2008", "Hillary Clinton", "41", "John McCain", "52"], ["Rasmussen Reports", "500", "", "Feb 18, 2008", "Barack Obama", "44", "John McCain", "41"], ["Rasmussen Report... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Political lieutenant", "District\\n(Area)", "Took Office", "Left Office", "Party leader"], ["Benoît Bouchard", "Roberval\\n(Saguenay-Lac-Saint-Jean)", "1990", "1993", "Brian Mulroney"], ["Lucien Bouchard", "Lac-Saint-Jean\\n(Saguenay-Lac-Saint-Jean)", "1988", "1990", "Brian Mulroney"], ["Léon Balce... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Brian Mulroney | Answer: | 128 |
Table InputTable: [["Result", "Date", "Category", "Tournament", "Surface", "Partnering", "Opponents", "Score"], ["Winner", "27 November 1983", "$150,000", "Sydney, Australia", "Grass", "Wendy Turnbull", "Hana Mandlíková\\n Helena Suková", "6–4, 6–3"], ["Runner-up", "19 June 1983", "$150,000", "Eastbourne, 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:... | 3 | Answer: | 128 |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["1", "September 6, 1998", "FOX 1:05 pm MT", "at Dallas Cowboys", "L 38–10", "63,602"], ["4", "September 27, 1998", "FOX 10:00 am MT", "at St. Louis Rams", "W 20–17", "55,832"], ["2", "September 13, 1998", "FOX 1:15 pm MT", "at Seattle ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | at Dallas Cowboys | Answer: | 128 |
Table InputTable: [["Contestant", "Original\\nTribe", "First\\nSwitch", "Second\\nSwitch", "Merged\\nTribe", "Finish", "Ghost\\nIsland", "Total\\nVotes"], ["Aleksandar Bošković\\n28, Belgrade", "Manobo", "Manobo", "", "", "7th Voted Out\\nDay 25", "8th Eliminated\\nDay 27", "4"], ["Luka Rajačić\\n21, Belgrade", "Ga 'da... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Competition", "Venue", "Position", "Notes"], ["2006", "World Indoor Championships", "Moscow, Russia", "10th (q)", "5.65 m"], ["1999", "World Youth Championships", "Bydgoszcz, Poland", "13th (q)", "4.60 m"], ["2007", "European Indoor Championships", "Birmingham, United Kingdom", "16th (q)", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["2", "Japan (JPN)", "46", "56", "77", "179"], ["1", "China (CHN)", "127", "63", "33", "223"], ["3", "South Korea (KOR)", "32", "48", "65", "145"], ["4", "Chinese Taipei (TPE)", "12", "34", "26", "72"], ["7", "Hong Kong (HKG)", "2", "2", "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:... | 402 | Answer: | 128 |
Table InputTable: [["Client", "Years of Operation", "Area of Operation", "Country", "Services"], ["Khalda/Repsol", "1998-99", "West Desert", "Egypt", "Drilling"], ["Agiba-Agip", "1999", "West Desert", "Egypt", "Drilling"], ["Lasmo", "1993-94", "Wadi Borjuj", "Libya", "Drilling, workover"], ["Waha", "1994", "El Zahra", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | El Mabrouk | Answer: | 128 |
Table InputTable: [["Year", "Class", "No", "Tyres", "Car", "Team", "Co-Drivers", "Laps", "Pos.", "Class\\nPos."], ["1978", "S\\n+2.0", "10", "", "Mirage M9\\nRenault 2.0L Turbo V6", "Grand Touring Cars Inc.", "Vern Schuppan\\n Sam Posey", "293", "10th", "5th"], ["1977", "S\\n+2.0", "8", "", "Renault Alpine A442\\nRenau... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 293 | Answer: | 128 |
Table InputTable: [["Tablet", "Genealogy", "Narrative", "Colophon"], ["10", "Descendants of Esau 36:2 - 5", "36:6 - 8", "\"This is the account of Esau.\" 36:9"], ["5", "Descendants of Shem, Ham, and Japeth 10:1 - 32", "11:1 - 9", "\"This is the account of Shem.\" 11:10"], ["3", "Adam to Noah 5:1 - 32", "6:1 - 8", "\"Th... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2010", "Philippe Billy", "Philippe Billy", "Tony Donatelli", "Ali Gerba"], ["2008", "Matt Jordan", "Nevio Pizzolitto", "Joey Gjertsen", "Stefano Pesoli"], ["1993", "Patrice Ferri", "–", "–", "–"], ["2003", "Greg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank\\n", "Date\\n", "Level at Trent Bridge\\nm", "Level at Trent Bridge\\nft", "Peak Flow\\nm3/s", "Peak Flow\\ncfs"], ["1", "February 1795", "24.55", "80.5", "1,416", "50,000"], ["4", "November 1852", "24.26", "79.6", "1,082", "38,200"], ["5", "November 2000", "23.80", "78.1", "1,019", "36,000"],... | 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:... | 2 | Answer: | 128 |
Table InputTable: [["Player", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Milicic", "2", "-", "-", "2"], ["Zdrilic", "1", "-", "-", "1"], ["Colosimo", "1", "-", "-", "1"], ["Cahill", "-", "-", "1", "1"], ["Elrich", "1", "-", "-", "1"], ["Griffiths", "1", "-", "-", "1"], ["Brescian... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cahill, Colosimo, Culina, Elrich, Griffiths, Skoko, Zdrilic | Answer: | 128 |
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:... | 6 | Answer: | 128 |
Table InputTable: [["decimal32", "decimal64", "decimal128", "decimal(32k)", "Format"], ["96", "384", "6144", "Emax = 3×2w−1", "Largest value is 9.99...×10Emax"], ["7", "16", "34", "p = 3×t/10+1 = 9×k−2", "Coefficient size (decimal digits)"], ["192", "768", "12288", "3×2w = 48×4k", "Exponent range"], ["32", "64", "128",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Exponent range | Answer: | 128 |
Table InputTable: [["No.", "Date", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["7.", "August 26, 2012", "Ecuador F3", "Clay", "Sergio Galdós", "Mauricio Echazú\\n Guillermo Rivera-Aránguiz", "6-2, 6-1"], ["5.", "August 5, 2012", "Manta", "Hard", "Renzo Olivo", "Víctor Estrella\\n João Sou... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ariel Behar | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["1999", "World Youth Championships", "Bydgoszcz, Poland", "13th (q)", "4.60 m"], ["2001", "European Junior Championships", "Grosseto, Italy", "7th", "5.15 m"], ["2003", "European U23 Championships", "Bydgoszcz, Poland", "13th (q)", "5.20 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:... | 4.60 m | Answer: | 128 |
Table InputTable: [["Game", "Date", "Team", "Score", "High points", "High rebounds", "High assists", "Location\\nAttendance", "Record"], ["40", "January 14", "@ Golden State", "W 135–133 (3OT)", "Brad Miller (30)", "Brad Miller (22)", "John Salmons, Beno Udrih (7)", "Oracle Arena\\n19,122", "10–30"], ["33", "January 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:... | 6 | Answer: | 128 |
Table InputTable: [["Name", "Location", "Date established", "Area", "Description"], ["American Samoa", "American Samoa\\n14°15′S 170°41′W / 14.25°S 170.68°W", "October 31, 1988", "9,000.00 acres (36.4 km2)", "The southernmost national park is on three Samoan islands and protects coral reefs, rainforests, volcanic mou... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Acadia | Answer: | 128 |
Table InputTable: [["Season", "Team", "Record", "Head Coach", "Quarterback", "Leading Rusher", "Leading Receiver", "All-Pros", "Runner Up"], ["1975", "Dallas Cowboys", "10–4", "Tom Landry*", "Roger Staubach*", "Robert Newhouse", "Drew Pearson", "none", "Los Angeles Rams"], ["1977", "Dallas Cowboys†", "12–2", "Tom Landr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Minnesota Vikings | Answer: | 128 |
Table InputTable: [["Rank", "City", "Passengers", "Ranking", "Airline"], ["3", "Guerrero, Acapulco", "56,069", "", "Aeroméxico Connect, Interjet"], ["2", "Nuevo León, Monterrey", "106,513", "", "Aeroméxico Connect, Interjet"], ["6", "Baja California Sur, Los Cabos", "37,526", "1", "Interjet"], ["5", "Jalisco, Puerto Va... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Episode", "Show #", "Iron Chef", "Challenger", "Challenger specialty", "Secret ingredient(s) or theme", "Winner", "Final score"], ["5", "IA0504", "Cat Cora", "Mark Tarbell", "Seasonal Organic", "Apples", "Mark Tarbell", "50-44"], ["11", "IA0503", "Cat Cora", "Todd Richards", "Modern Southern", "Car... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Carrots | Answer: | 128 |
Table InputTable: [["Season", "Competition", "Round", "Club", "Home", "Away"], ["1986–87", "UEFA Cup", "1R", "FC Barcelona", "1–1", "0–0"], ["1987–88", "UEFA Cup", "1/16", "FC Barcelona", "1–0", "1–4"], ["1987–88", "UEFA Cup", "1R", "FK Partizan Beograd", "2–0", "1–2"], ["", "", "2QR", "FK Jablonec 97", "0–2", "1–5"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | FC Barcelona | Answer: | 128 |
Table InputTable: [["Season", "Winning Team", "Score", "Losing Team", "Score", "Location", "Stadium"], ["1994–95", "San Diego Chargers (1)", "17", "Pittsburgh Steelers", "13", "Pittsburgh, Pennsylvania", "Three Rivers Stadium"], ["1979–80", "Pittsburgh Steelers (4)", "27", "Houston Oilers", "13", "Pittsburgh, Pennsylva... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["No.", "Date", "Tournament", "Winning score", "Margin of\\nvictory", "Runner(s)-up"], ["3", "25 Apr 2004", "Tsuruya Open", "−9 (64-73-69-69=275)", "2 strokes", "Keiichiro Fukabori, Scott Laycock,\\n Tatsuya Mitsuhashi, Taichi Teshima,\\n Shinichi Yokota"], ["6", "22 Apr 2007", "Tsuruya Open", "−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:... | Toru Taniguchi | Answer: | 128 |
Table InputTable: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["3", "June 11", "Portland", "Tuck Thomas", "Chevrolet Monza", "Bob Matkowitch", "Chevrolet Corvette"], ["5", "July 8", "Watkins Glen‡", "Hal Shaw, Jr.\\n Monte Shelton", "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:... | Monte Sheldon | Answer: | 128 |
Table InputTable: [["Competition", "Total spectatorship", "Average match attendance", "Year"], ["Women's National Basketball League", "77,944", "", "2010/2011"], ["National Basketball League", "547,021", "4,031", "2010/2011"], ["A-League", "1,772,133", "12,707", "2012/2013"], ["Big Bash League", "550,262", "17,750", "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:... | National Basketball League | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["6", "24", "Rolf Stommelen", "Surtees-Ford", "79", "+ 1 Lap", "16", "1"], ["10", "8", "Tim Schenken", "Brabham-Ford", "76", "+ 4 Laps", "18", ""], ["DNQ", "6", "Mario Andretti", "Ferrari", "", "", "", ""], ["8", "27", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rolf Stommelen | Answer: | 128 |
Table InputTable: [["Year", "Single", "Chart Positions\\nUS Country", "Chart Positions\\nUS", "Album"], ["1964", "\"Blue Train (Of the Heartbreak Line)\"", "44", "132", "singles only"], ["1963", "\"Bad News\" (b/w \"Guitar Player(Her and Him)\")", "23", "—", "singles only"], ["1965", "\"That Ain't All\"", "20", "—", "s... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Rank", "Player", "County", "Tally", "Total", "Opposition"], ["9", "John Leahy", "Tipperary", "2–2", "8", "Kerry"], ["3", "Gary Kirby", "Limerick", "0–10", "10", "Tipperary"], ["6", "David Martin", "Meath", "1–6", "9", "Offaly"], ["6", "Gary Kirby", "Limerick", "0–9", "9", "Antrim"], ["9", "John Byr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Pennant", "Namesake", "Builder", "Ordered", "Laid down", "Launched", "Commissioned", "Fate"], ["Leander", "75", "Leander of Abydos", "HM Dockyard, Devonport", "18 February 1928", "1 August 1928", "13 July 1929", "23 July 1931", "Transferred to Royal New Zealand Navy as HMNZS Leander 1941-19... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cammell Laird | Answer: | 128 |
Table InputTable: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["8", "Major General Raza Hussain", "2001", "2010", "Pakistan Army Corps of Electrical and Mechanical Engineers", "Electrical Engineering", "B.S."], ["9", "Major General Ahmed Bilal", "2010", "Presen... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dr Salim Mehmud | Answer: | 128 |
Table InputTable: [["#", "Name", "Took office", "Left office", "Party", "Governor", "Notes"], ["46", "Frank O'Bannon", "January 9, 1989", "January 13, 1997", "Democrat", "Evan Bayh", ""], ["44", "Robert D. Orr", "January 8, 1973", "January 12, 1981", "Republican", "Otis R. Bowen", ""], ["48", "Kathy Davis", "October 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:... | 8 | Answer: | 128 |
Table InputTable: [["", "Name on the Register", "Date listed", "Location", "City or town", "Summary"], ["16", "New Durham Meetinghouse and Pound", "December 8, 1980\\n(#80000312)", "Old Bay Rd.\\n43°25′25″N 71°07′42″W / 43.423611°N 71.128333°W", "New Durham", ""], ["27", "Salmon Falls Mill Historic District", "Februa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 29 | Answer: | 128 |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["1", "Loris Capirossi", "Honda", "38:04.730", "25"], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["22", "Rudie Markink", "Aprilia", "+1:40.280", ""], ["7", "Franco Battaini", "Aprilia", "+20.889", "9"], ["12", "Sebastian Porto", "Y... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2", "United States (USA)", "2", "1", "1", "4"], ["5", "Soviet Union (URS)", "0", "1", "2", "3"], ["", "Total", "8", "8", "8", "24"], ["3", "West Germany (FRG)", "2", "0", "0", "2"], ["6", "Sweden (SWE)", "0", "1", "1", "2"], ["1", "Netherland... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Atomic\\nno.", "Name", "Symbol", "Group", "Period", "Block", "State at\\nSTP", "Occurrence", "Description"], ["53", "Iodine", "I", "17", "5", "p", "Solid", "Primordial", "Halogen"], ["102", "Nobelium", "No", "3", "7", "f", "Solid", "Synthetic", "Actinide"], ["99", "Einsteinium", "Es", "3", "7", "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:... | Xenon | Answer: | 128 |
Table InputTable: [["Year", "Name", "Year", "Name", "Year", "Name"], ["1929-30", "Mr K.Turner", "1961-62", "Mr J.L.Viljoen", "", ""], ["1908-09", "Mr T.R.Ziervogel", "1940-41", "Mr P.Venter", "1972-73", "Mr Ben Steyn"], ["1925-26", "Mr S.Steenberg", "1957- 58", "", "1990-91", "Mr Gerrie Wolmarans"], ["1921-21", "Mr B.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:... | Mr K.Turner | Answer: | 128 |
Table InputTable: [["Year", "Organization", "Award", "Work", "Result"], ["2007", "10th Nikkan Sports Drama Grand Prix", "Best Actress", "Hana Yori Dango 2", "Won"], ["2007", "16th Hashida Awards", "Newcomer Award", "Hana Yori Dango 2", "Won"], ["2010", "Nikkan Sports Grand Prix (Fall)", "Best Supporting Actress", "Vete... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Client", "Years of Operation", "Area of Operation", "Country", "Services"], ["Marathon", "1998", "Manzala field", "Egypt", "Drilling"], ["Lasmo", "1993-94", "Wadi Borjuj", "Libya", "Drilling, workover"], ["Agoco", "1991-current", "Sarir field", "Libya", "Drilling, workover"], ["Waha", "1994", "El Z... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1999", "European Junior Championships", "Riga, Latvia", "4th", "400 m hurdles", "52.17"], ["2003", "European U23 Championships", "Bydgoszcz, Poland", "1st", "400 m hurdles", "48.45"], ["2003", "European U23 Championships", "Bydgoszcz, ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Week", "Date", "Opponent", "Result", "Attendance"], ["1", "September 13, 1987", "San Diego Chargers", "W 20–13", "56,940"], ["6", "October 25, 1987", "at San Diego Chargers", "L 42–21", "47,972"], ["14", "December 19, 1987", "at Denver Broncos", "L 20–17", "75,053"], ["5", "October 18, 1987", "Denv... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Heat", "Name", "Nationality", "Time", "Notes"], ["2", "3", "Reanchai Srihawong", "Thailand", "10.72", "Q"], ["2", "4", "Saad Faraj Al-Shahwani", "Qatar", "10.67", "Q"], ["", "3", "Sudath Ravindra Kumara", "Sri Lanka", "DQ", ""], ["2", "2", "Yuta Kanno", "Japan", "10.64", "Q"], ["7", "2", "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:... | Hiroyasu Tsuchie | Answer: | 128 |
Table InputTable: [["Release date", "Album Title", "Record Company", "Song Title", "Certification"], ["March 5, 2011", "Kris Aquino: My Heart’s Journey", "Universal Records", "\"God Bless the Broken Road\"", "PARI: Platinum"], ["April 2009", "OPM Number 1's", "Star Records", "\"Can't Hurry Love\"", "PARI:"], ["June 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:... | H.O.P.E. (Healing Of Pain and Enlightenment) | Answer: | 128 |
Table InputTable: [["decimal32", "decimal64", "decimal128", "decimal(32k)", "Format"], ["32", "64", "128", "32×k", "Total size (bits)"], ["7", "16", "34", "p = 3×t/10+1 = 9×k−2", "Coefficient size (decimal digits)"], ["96", "384", "6144", "Emax = 3×2w−1", "Largest value is 9.99...×10Emax"], ["192", "768", "12288", "3×2... | 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:... | Exponent range | Answer: | 128 |
Table InputTable: [["Tie no", "Home team", "Score", "Away team", "Date", "Attendance"], ["Replay", "Millwall", "1 – 2", "Southampton", "5 February 2003", "10,197"], ["Replay", "Liverpool", "0 – 2", "Crystal Palace", "5 February 2003", "35,109"], ["Replay", "Sunderland", "2 – 2", "Blackburn Rovers", "5 February 2003", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["4", "Parc des Princes", "48,712", "Paris", "Île-de-France", "Paris Saint-Germain FC", "1897"], ["1", "Stade de France", "81,338", "Paris", "Île-de-France", "France national football team", "1998"], ["27", "Stade Sébastien Charlé... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Allianz Riviera | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2011", "World Championships", "Daegu, South Korea", "9th", "5.65 m"], ["2009", "World Championships", "Berlin, Germany", "22nd (q)", "5.40 m"], ["2010", "European Championships", "Barcelona, Spain", "10th", "5.60 m"], ["2012", "European Champio... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | World Youth Championships | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2012", "European Championships", "Helsinki, Finland", "6th", "5.60 m"], ["2011", "World Championships", "Daegu, South Korea", "9th", "5.65 m"], ["2009", "World Championships", "Berlin, Germany", "22nd (q)", "5.40 m"], ["2009", "European U23 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:... | 0 | Answer: | 128 |
Table InputTable: [["Rank", "Mountain Peak", "Nation", "Province", "Elevation", "Prominence", "Isolation"], ["8", "Montañas Peña Blanca High Point PB", "Guatemala", "Huehuetenango", "3518 m\\n11,542 ft", "1858 m\\n6,096 ft", "42 km\\n26 mi"], ["4", "Cerro las Minas PB", "Honduras", "Lempira", "2849 m\\n9,347 ft", "2069... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4220 m, 13,845 ft | Answer: | 128 |
Table InputTable: [["Station", "Station Connections", "Date Opened", "Station Parking", "City/ Neighborhood"], ["Norwalk", "Metro Local: 111, 115, 120, 125, 270, 311\\nMetro Express: 460, 577X\\nNorwalk Transit: 2, 4, 5\\nLong Beach Transit: 172, 173", "August 12, 1995", "2050 Spaces", "Norwalk"], ["Hawthorne/Lennox", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Norwalk | Answer: | 128 |
Table InputTable: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["31", "120", "Sunil Gavaskar (1/3)", "India", "NR", "1", "West Indies", "24 January 1979", "Drawn"], ["52", "122", "Sachin Tendulkar (1/2)", "India", "233", "2", "Zimbabwe", "18 November 2000", "Won"], ["34", "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:... | 684 | Answer: | 128 |
Table InputTable: [["Series #", "Season #", "Title", "Notes", "Original air date"], ["6", "1", "\"Where's the Snake?\"", "Dee Dee gets a snake, but he doesn't want his parents to know about it. However, things get complicated when he loses the snake in the house. Meanwhile, Melanie and Deonne are assigned by their teac... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["New Mexico", "Martin Heinrich", "Democratic", "Martin Heinrich (D) 51.0%\\nHeather Wilson (R) 45.3%\\nJon Barrie (IA... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Democratic | Answer: | 128 |
Table InputTable: [["Distribution", "x86", "x86-64", "ia64", "ppc", "ppc64", "sparc32", "sparc64", "arm", "hppa", "mips", "sh", "s390", "s390x", "alpha", "m68k"], ["Distribution", "x86", "x86-64", "ia64", "ppc", "ppc64", "sparc32", "sparc64", "arm", "hppa", "mips", "sh", "s390", "s390x", "alpha", "m68k"], ["Slackware",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["Connecticut", "Chris Murphy", "Democratic", "Chris Murphy (D) 54.8%\\nLinda McMahon (R) 43.1%\\nPaul Passarelli (L) ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 11.7 | Answer: | 128 |
Table InputTable: [["Position", "Sail Number", "Yacht", "State/Country", "Yacht Type", "LOA\\n(Metres)", "Skipper", "Elapsed Time\\nd:hh:mm:ss"], ["4", "AUS70", "Ragamuffin", "NSW", "Farr 50", "15.15", "Syd Fischer", "3:06:11:29"], ["2", "C1", "Brindabella", "NSW", "Jutson 79", "24.07", "George Snow", "2:21:55:06"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | NSW | Answer: | 128 |
Table InputTable: [["Result", "Date", "Category", "Tournament", "Surface", "Partnering", "Opponents", "Score"], ["Runner-up", "8 November 1981", "$50,000", "Hong Kong", "Clay", "Susan Leo", "Ann Kiyomura\\n Sharon Walsh", "3–6, 4–6"], ["Runner-up", "29 January 1984", "$100,000", "Marco Island, United States", "Clay", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Judy Chaloner | Answer: | 128 |
Table InputTable: [["", "Chronological\\nNo.", "Date\\n(New style)", "Water level\\ncm", "Peak hour"], ["1", "84", "19 November 1824", "421", "14:00"], ["20", "55", "20 November 1764", "244", "–"], ["8", "14", "1 November 1726", "270", "–"], ["27", "177", "26 November 1898", "240", "23:30"], ["34", "171", "2 November 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:... | 421 | Answer: | 128 |
Table InputTable: [["No", "Name", "Code", "Formed", "Headquarters", "Administrative\\nDivision", "Area (km2)", "Population\\n(2001 census)", "% of State\\nPopulation", "Density\\n(per km2)", "Urban (%)", "Literacy (%)", "Sex Ratio", "Tehsils", "Source"], ["32", "Thane", "TH", "1 May 1960", "Thane", "Konkan", "9,558", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Headquarters | Answer: | 128 |
Table InputTable: [["Date", "Date", "", "Rank", "Tournament name", "Venue", "City", "Winner", "Runner-up", "Score"], ["05–??", "05–??", "WAL", "", "Pontins Professional", "Pontins", "Prestatyn", "Martin Clark", "Andy Hicks", "9–7"], ["01–02", "01–05", "ENG", "", "Charity Challenge", "International Convention Centre", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 19 | Answer: | 128 |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["2.", "Cesc Fàbregas", "Arsenal", "29+5(variables)", "2011"], ["1.", "Neymar", "Santos FC", "86.0", "2013"], ["3.", "Alexis Sánchez", "Udinese", "26+11(add ons)", "2011"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["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:... | 7 | Answer: | 128 |
Table InputTable: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["4", "ÍBV", "18", "8", "5", "5", "29", "17", "+12", "29", "Inter-Toto Cup"], ["2", "Fylkir", "18", "10", "5", "3", "39", "16", "+23", "35", "UEFA Cup"], ["1", "KR", "18", "11", "4", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Keflavík, Leiftur | Answer: | 128 |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2000", "September 10", "New York Giants", "33-18", "Philadelphia Eagles", "Veterans Stadium"], ["2000", "October 29", "New York Giants", "24-7", "Philadelphia Eagles", "Giants Stadium"], ["2002", "October 28", "Philadelphia Eagles", "17-3",... | 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:... | Giants Stadium | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2011", "Pan Arab Games", "Doha, Qatar", "5th", "100 m", "21.59"], ["2011", "World Championships", "Daegu, South Korea", "48th (h)", "200 m", "21.45"], ["2009", "World Championships", "Berlin, Germany", "25th (qf)", "200 m", "20.97"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pan Arab Games | Answer: | 128 |
Table InputTable: [["Rank", "Pair", "Country", "Athletes", "Time", "Deficit"], ["", "3", "Netherlands", "Sven Kramer\\nKoen Verweij\\nJan Blokhuijsen", "3:41.43", ""], ["", "2", "Russia", "Ivan Skobrev\\nDenis Yuskov\\nYevgeny Lalenkov", "3:43.62", "+2.19"], ["7", "4", "South Korea", "Lee Seung-hoon\\nJoo Hyong-jun\\nK... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Model", "Fuel Type", "mpg (US gallons)", "L/100 km", "NZ Rating\\n(Stars)"], ["Citroen C4 2.0 SX 5DR 6SP A D", "diesel", "37.3", "6.3", "4.5"], ["Mini Cooper HATCH 6M 2DR 1.5L Diesel", "diesel", "53", "4.4", "5.5"], ["Volkswagen Jetta TDI 103KW 6DSG", "diesel", "37.9", "6.2", "4.5"], ["Kia Rio 1.5 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Volkswagen Polo 1.4 TDI BLUEMOTION | Answer: | 128 |
Table InputTable: [["Nr.", "Name", "Area (km²)", "Population (2006)", "Capital", "Club(s)"], ["3", "Cairo", "3,435", "7,786,640", "Cairo", "Al-Ahly - Al Mokawloon - ENPPI - El-Jaish - El-Shorta - Itesalat"], ["4", "Gharbia", "25,400", "3,790,670", "Tanta", "Ghazl El-Mehalla"], ["1", "Alexandria", "2,900", "4,110,015", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cairo | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Game site", "NFL Recap", "Attendance"], ["9", "November 2, 1986", "at New York Giants", "L 14–17", "Giants Stadium", "[9]", "74,871"], ["1", "September 8, 1986", "New York Giants", "W 31–28", "Texas Stadium", "[1]", "59,804"], ["13", "November 27, 1986", "Seatt... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 York | Answer: | 128 |
Table InputTable: [["Association", "Joining year", "Men's team", "Women's team", "League"], ["Macau", "2002", "Macau", "Macau", "Campeonato da 1ª Divisão do Futebol"], ["Korea DPR", "2002", "Korea DPR", "Korea DPR", "DPR Korea League"], ["Hong Kong", "2002", "Hong Kong", "Hong Kong", "Hong Kong First Division League"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["16", "Gary Jones", "United States", "Yamaha", "439", "0"], ["12", "Andy Roberton", "United Kingdom", "Husqvarna", "810", "0"], ["8", "Gaston Rahier", "Belgium", "ČZ", "1112", "0"], ["17", "John DeSoto", "United States", "Suzuki", "425", "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:... | Sylvain Geboers | Answer: | 128 |
Table InputTable: [["Type", "Construction period", "Cylinder", "Capacity", "Power", "Vmax"], ["Greif V8", "1934–1937", "V8", "2.489 cc", "55 PS (40 kW)", "110 km/h (68 mph)"], ["Greif V8 Sport", "1935–1937", "V8", "2.489 cc", "57 PS (42 kW)", "120 km/h (75 mph)"], ["10 PS (7 kW; 10 hp)", "1901–1902", "straight-2", "1.5... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Vessel", "Captor", "Date", "Location"], ["Susan", "Perry", "6 February 1849", "Rio de Janeiro"], ["Independence", "Perry", "13 December 1848", "Rio de Janeiro"], ["A.D. Richardson", "Perry", "11 December 1848", "Rio de Janeiro"], ["Laurens", "Onkahye", "23 January 1848", "Rio de Janeiro"], ["Porpoi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Parish", "Church name", "Location", "Year built"], ["Levanger", "Levanger Church", "Levanger", "1902"], ["Alstadhaug", "Alstadhaug Church", "Alstadhaug", "1180"], ["Markabygd", "Markabygda Church", "Markabygd", "1887"], ["Åsen", "Åsen Church", "Åsen", "1904"], ["Levanger", "Bamberg Church", "Levang... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Levanger | Answer: | 128 |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["Ret", "Andre Romein", "Honda", "Retirement", ""], ["Ret", "Maurice Bolwerk", "TSR-Honda", "Retirement", ""], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["24", "Henk Van De Lagemaat", "Honda", "+1 Lap", ""], ["Ret", "Marcellino Lu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Henk Van De Lagemaat | Answer: | 128 |
Table InputTable: [["Character", "Real name", "Home world", "Membership notes", "Powers"], ["Dragonwing", "Marya Pai", "Earth", "First appeared in Legion of Super-Heroes vol. 6, #6 (December 2010) as a student at the Legion Academy.\\nJoined between Legion of Super-Heroes vol. 6, #16 (October 2011) and Legion of Super-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name", "Owner", "Location", "Notes", "Transmission", "Website"], ["Radio Kiss Kiss", "", "Naples", "Commercial;", "FM, DVB-S", "http://www.kisskiss.it"], ["Multiradio", "Multiradio srl", "Massafra, (TA)", "Local; Adult Contemporary", "FM", "http://www.multiradio.it"], ["Radio Dimensione Suono", "",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Song", "US Hot 100", "U.S. Modern Rock", "U.S. Mainstream Rock", "Album"], ["1997", "\"One Thing\"", "-", "-", "-", "Pacifier"], ["2001", "\"Bleeder\"", "-", "-", "32", "Violence"], ["1998", "\"Breathe Out\"", "-", "-", "-", "An Audio Guide To Everyday Atrocity"], ["1998", "\"The Sick\"", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bleeder | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Runner-up", "2.", "6 November 2011", "Taipei 5, Taiwan", "Hard", "Karolína Plíšková", "Chan Yung-jan\\n Zheng Jie", "6–7(5–7), 7–5, 3–6"], ["Runner-up", "1.", "16 May 2010", "Kurume, Japan", "Clay", "Karolína Plíš... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Barnstaple, United Kingdom | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["6", "South Korea", "0", "0", "2", "2"], ["5", "North Korea", "1", "0", "1", "2"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["2", "Japan", "7", "10", "7", "24"], ["4", "Kazakhstan", "2", "2", "0", "4"], ["1", "China", "13", "9", "13", "35"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Japan | Answer: | 128 |
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 East", "2", "5–2", ".714", "2", "2", "1", "–", "–"], ["Big Eight", "4", "3–4", ".429", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Name", "Nationality", "Time"], ["8", "Edith Arraspide", "Argentina", "5:13.95"], ["", "Joanne Malar", "Canada", "4:43.64"], ["", "Jenny Kurth", "United States", "4:57.24"], ["", "Alison Fealey", "United States", "4:48.31"], ["5", "Fabíola Molina", "Brazil", "5:03.43"], ["7", "Carolyn Adel",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Place", "Code", "Area (km2)", "Population", "Most spoken language"], ["Remainder of the municipality", "91106", "2,944.04", "10,463", "Northern Sotho"], ["Manthata", "91105", "12.24", "22,121", "Northern Sotho"], ["Bochum", "91102", "11.64", "4,142", "Northern Sotho"], ["Dendron", "91103", "2.98", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Song", "Album", "Position", "Chart"], ["1989", "\"Sunshine\"", "24/7", "23", "Billboard Hot 100"], ["1993", "\"Endlessly\"", "The Way I Am", "--", "Billboard Hot 100"], ["1989", "\"I Like It\"", "24/7", "7", "Billboard Hot 100"], ["1989", "\"24/7\"", "24/7", "42", "Billboard Hot 100"], ["19... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Player", "No.", "Nationality", "Position", "Years for Jazz", "School/Club Team"], ["Terry Furlow", "25", "United States", "Guard/Forward", "1979-80", "Michigan State"], ["Bernie Fryer", "25", "United States", "Guard", "1975-76", "BYU"], ["Jim Farmer", "30", "United States", "Guard", "1988-89", "Ala... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Model", "1991", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"], ["Škoda Felicia", "172,000", "210,000", "", "288,458", "261,127", "241,256", "148,028", "44,963", "−", "−", "−", "−", "−", "−", "−... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Hull", "Type", "Original Name", "Original Operator", "Delivery", "Disposition (2012)", "2nd name", "2nd operator", "3rd Name", "3rd operator"], ["№ 3", "929-117", "Toppy 1", "Tane Yaku Jetfoils", "Sep 1989", "Active", "Beetle 3", "JR Kyushu Jet Ferries", "", ""], ["№ 2", "929-117", "Pegasus", "Kyus... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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:... | 4 | Answer: | 128 |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-2", "10 May 1918", "19 August 1918", "11 July 1918", "Sold 11 June 1930"], ["PE-3", "16 May 1918", "11 September 1918", "11 November 1918", "Sold 11 June 1930"], ["PE-1", "7 May 1918", "11 July 1918", "27 October 1918", "Sold 11 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:... | 3 days | Answer: | 128 |
Table InputTable: [["Rank", "Athlete", "Nationality", "2.15", "2.20", "2.24", "2.27", "Result", "Notes"], ["1.", "Yaroslav Rybakov", "Russia", "o", "o", "o", "o", "2.27", "q"], ["1.", "Andriy Sokolovskyy", "Ukraine", "o", "o", "o", "o", "2.27", "q"], ["1.", "Andrey Tereshin", "Russia", "o", "o", "o", "o", "2.27", "q"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Represents", "Contestant", "Age", "Height", "Hometown"], ["Panamá Centro", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Chiriquí Occidente", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Chiriquí", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Comarcas", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Veraguas", "TBD", "TB... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["1", "Lord High Steward", "vacant", "Justiciar", "Lord Steward"], ["7", "Lord High Constable", "vacant", "Earl Marshal", "Master of the Horse"], ["2", "Lord High Chancellor", "The Rt Hon Chris Grayling, MP", "", ""], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lord High Constable | Answer: | 128 |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2008", "Jiangsu Sainty", "China", "2", "24", "0"], ["2011", "Jiangsu Sainty", "China", "1", "9", "0"], ["2010", "Jiangsu Sainty", "China", "1", "17", "0"], ["2013", "Jiangsu Sainty", "China", "1", "11", "0"], ["2009", "Jiangsu Sainty", "Ch... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2008 | Answer: | 128 |
Table InputTable: [["#", "Date", "Location", "Winner", "Score\\nJSU", "Score\\nTU", "Series"], ["8", "November 11, 1938", "Jacksonville, AL", "Tied", "6", "6", "TSU 4–3–1"], ["6", "November 10, 1933", "Jacksonville, AL", "Troy State", "7", "18", "Tied 3–3"], ["38", "November 11, 1972", "Jacksonville, AL", "Tied", "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:... | 2 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["4", "Hungary", "1", "1", "3", "5"], ["1", "Netherlands", "8", "3", "1", "12"], ["7", "Russia", "–", "1", "1", "2"], ["6", "Italy", "–", "2", "1", "3"], ["8", "China", "–", "–", "1", "1"], ["2", "Australia", "3", "3", "4", "10"], ["5", "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:... | Italy, Russia, China | Answer: | 128 |
Table InputTable: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["1", "Diana DeGette", "Re-election", "Diana DeGette", "George Lilly"], ["4", "Marilyn Musgrave", "Re-election", "Betsy Markey", "Marilyn Musgrave"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["3", "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:... | Democratic | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Record", "TV Time", "Attendance"], ["2", "September 23, 2001", "at San Francisco 49ers", "W 30–26", "2–0", "FOX 3:15pm", "67,536"], ["13", "December 9, 2001", "San Francisco 49ers", "W 27–14", "10–2", "FOX 12:00pm", "66,218"], ["16", "December 30, 2001", "India... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Carolina Panthers | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "West Germany (FRG)", "2", "0", "0", "2"], ["5", "Soviet Union (URS)", "0", "1", "2", "3"], ["6", "Sweden (SWE)", "0", "1", "1", "2"], ["4", "Norway (NOR)", "0", "2", "2", "4"], ["1", "Netherlands (NED)", "4", "3", "2", "9"], ["2", "Unite... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Netherlands (NED) | Answer: | 128 |
Table InputTable: [["Common name", "Binomial nomenclature", "Colour", "Density ¹", "Location", "Characteristics, Usage and Status"], ["Deodar", "Cedrus deodara", "Yellowish brown", "560 kg/m³", "Himalayas, Punjab, Uttar Pradesh", "Deodar is the most important timber tree providing soft wood. It can be easily worked and... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kerala, Madras, Maharashtra, Karnataka | Answer: | 128 |
Table InputTable: [["School", "2007", "2008", "2009", "2010", "2011"], ["Francisco Bravo Medical Magnet High School", "807", "818", "815", "820", "832"], ["Marc and Eva Stern Math and Science School", "718", "792", "788", "788", "809"], ["James A. Garfield High School", "553", "597", "593", "632", "705"], ["Woodrow Wil... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Francisco Bravo Medical Magnet High School | Answer: | 128 |
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