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: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["4", "Marilyn Musgrave", "Re-election", "Betsy Markey", "Marilyn Musgrave"], ["5", "Doug Lamborn", "Re-election", "Hal Bidlack", "Doug Lamborn"], ["1", "Dian... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Title", "Time", "Lyrics", "Music", "Producer(s)", "Performer(s)"], ["6", "\"Lady In The Jaguar\"", "3:55", "Boondox\\nICP", "Mike E. Clark", "Boondox\\nICP", "Boondox\\nICP"], ["7", "\"They Pray with Snakes\"", "3:56", "Boondox", "Kuma", "Boondox", "Boondox"], ["4", "\"It Ain't A Thang\"", "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:... | Snakes | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["9", "Ben Hogan", "United States", "75-71-72-72=290", "+2", "125"], ["5", "Gene Sarazen", "United States", "73-66-72-72=283", "–5", "400"], ["6", "Craig Wood", "United States", "72-73-71-68=284", "–4", "300"], ["T10", "Ed Dudley", "Unit... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ralph Guldahl | 128 | Answer: |
Table InputTable: [["Rank", "Island", "Area\\n(km²)", "Area\\n(sq mi)", "Country/Countries/Region"], ["224", "Rab", "91", "36", "Croatia"], ["228", "Rolvsøy, Finnmark", "89", "34", "Norway"], ["223", "Vormsi", "92", "36", "Estonia"], ["227", "Vis", "90", "35", "Croatia"], ["229", "Tustna", "89", "34", "Norway"], ["222"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rab | 128 | Answer: |
Table InputTable: [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["Leafield", "Steamer", "Lake Superior", "", "all hands"], ["Henry B. Smith", "Steamer", "Lake Superior", "", "all hands"], ["Charles S. Price", "Steamer", "Lake Huron", "near Port Huron, Michigan", "28 lost"], ["Hydrus", "Steamer", "Lake ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Sl no", "Name of the prabandham", "Starting from", "Ending with", "Number of pasurams", "Sung by"], ["", "Total number of pasurams", "", "", "3776", ""], ["4", "Perumal Thirumozhi", "647", "751", "105", "Kulasekara alvar"], ["6", "Thirumalai", "872", "916", "45", "Thondaradippodi alvar"], ["12", "N... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3776 | 128 | Answer: |
Table InputTable: [["Cellulose ethers", "Reagent", "Example", "Reagent", "Group R = H or", "Water solubility", "Application", "E number"], ["Alkyl", "Halogenoalkanes", "Methylcellulose", "Chloromethane", "-CH3", "Cold water soluble", "", "E461"], ["Carboxyalkyl", "Halogenated carboxylic acids", "Carboxymethyl cellulose... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Halogenated carboxylic acids | 128 | Answer: |
Table InputTable: [["№", "#", "Title", "Directed by", "Written by", "Original air date", "Production\\ncode"], ["1", "1", "\"Class of Beverly Hills\"", "Tim Hunter", "Darren Star", "October 4, 1990", "–"], ["4", "4", "\"The First Time\"", "Bethany Rooney", "Darren Star", "October 25, 1990", "2190003"], ["12", "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:... | 22 | 128 | Answer: |
Table InputTable: [["Season", "Footballer", "Club", "Position", "Nationality"], ["2010-11", "Thulani Serero", "Ajax Cape Town", "MF", "South Africa"], ["2002-03", "Moeneeb Josephs", "Ajax Cape Town", "GK", "South Africa"], ["2000-01", "Benjani Mwaruwari", "Jomo Cosmos", "FW", "Zimbabwe"], ["1998-99", "Roger Feutmba", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ajax Cape Town | 128 | Answer: |
Table InputTable: [["Time", "Wind", "Auto", "Athlete", "Nationality", "Location of race", "Date"], ["20.6y", "", "", "Andy Stanfield", "United States", "Philadelphia, United States", "May 26, 1951"], ["20.6", "", "", "Andy Stanfield", "United States", "Los Angeles, United States", "June 28, 1952"], ["20.6", "", "", "Ma... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ray Norton | 128 | Answer: |
Table InputTable: [["Nr.", "Name", "Area (km²)", "Population (2006)", "Capital", "Club(s)"], ["2", "Asyut", "25,926", "3,441,597", "Asyut", "Petrol Asyout"], ["1", "Alexandria", "2,900", "4,110,015", "Alexandria", "Al Itthad Al Sakandary - El-Olympi - Haras El Hodood"], ["6", "Suez", "17,840", "510,935", "Suez", "Petro... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 27,426,028 | 128 | Answer: |
Table InputTable: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Bahama's", "2013", "4", "4207", "The Royal Bahamas Defence Forces ordered 4 vessels together with 4 x Sea Axe 3007 Patrols and 1 x Stan Lander 5612 Logistics Support and Landing Craft in April 2013."], ["Canada", "2009", "9", "4207", "In 2009 the Dep... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Title", "Album details", "Peak positions\\nJPN", "Sales"], ["The Remixes", "Released: September 17, 1997\\nLabel: Avex Trax\\nFormats: CD", "2", "640,000"], ["The Remixes II", "Released: November 18, 1998\\nLabel: Avex Trax\\nFormats: CD", "5", "300,000"], ["Super Eurobeat Presents Euro Every Littl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | The Remixes | 128 | Answer: |
Table InputTable: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["IC 342", "SAB(rs)cd", "03h 46m 48.5s", "+68° 05′ 46″", "31 ± 3", "9.1"], ["NGC 1560", "SA(s)d", "04h 32m 49.1s", "+71° 52′ 59″", "-36 ± 5", "12.2"], ["KK 35", "Irr", "03h 45m 12.6s", "+67° 51′ 51″", "105 ± 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:... | KK 35 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["4", "Kazakhstan", "2", "2", "0", "4"], ["5", "North Korea", "1", "0", "1", "2"], ["6", "South Korea", "0", "0", "2", "2"], ["1", "China", "13", "9", "13", "35"], ["2", "Japan", "7", "10", "7", "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:... | Japan | 128 | Answer: |
Table InputTable: [["Date", "Time", "", "Score", "", "Set 1", "Set 2", "Set 3", "Set 4", "Set 5", "Total", "Report"], ["18 Nov", "14:00", "Russia", "3–0", "Tunisia", "25–15", "29–27", "25–20", "", "", "79–62", "P2 P3"], ["17 Nov", "18:00", "Tunisia", "3–2", "South Korea", "25–22", "24–26", "17–25", "28–26", "15–13", "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:... | Russia | 128 | Answer: |
Table InputTable: [["Date", "Time", "", "Score", "", "Set 1", "Set 2", "Set 3", "Set 4", "Set 5", "Total", "Report"], ["17 Nov", "14:00", "Canada", "3–0", "Kazakhstan", "25–21", "26–24", "25–21", "", "", "76–66", "P2 P3"], ["22 Nov", "16:00", "Canada", "0–3", "Serbia and Montenegro", "18–25", "18–25", "17–25", "", "", ... | 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:... | Serbia and Montenegro | 128 | Answer: |
Table InputTable: [["Departure", "Going to", "Calling at", "Arrival", "Operator"], ["16.25", "Bourne", "Aswarby & Scredington, Billingborough & Horbling, Rippingale, Morton Road", "17.00", "GNR"], ["13.48", "Bourne", "Aswarby & Scredington, Billingborough & Horbling, Rippingale, Morton Road", "14.24", "GNR"], ["10.05",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Designer(s)", "Brief description", "Selected by:", "Associated publication"], ["1973", "Female: Marc Bohan for Christian Dior London\\nMale: Yves Saint Laurent Rive Gauche", "Female: White wool coat & hat\\nMale: Wool jacket, trousers & sweater", "Alison Adburgham", "The Guardian"], ["1981"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | no | 128 | Answer: |
Table InputTable: [["№", "№", "Name\\n(Birth–Death)\\n(Title)", "Portrait", "Term start", "Term end", "Political Party", "Head of State"], ["(7)", "15", "Samdech Penn Nouth\\n(1906–1985)\\nPrime Minister\\n(5th term)", "", "17 January 1958", "24 April 1958", "Sangkum\\n(Popular Socialist\\nCommunity)", "King Norodom Su... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2009", "January 11", "Philadelphia Eagles", "23-11", "New York Giants", "Giants Stadium"], ["2007", "January 7", "Philadelphia Eagles", "23-20", "New York Giants", "Lincoln Financial Field"], ["2003", "October 19", "Philadelphia Eagles", "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:... | 45 | 128 | Answer: |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["Empire State Building", "United States", "New York City", "448 / 1,472", "Skyscraper", "1931–1967", ""], ["Chrysler Building", "United States", "New York City", "319 / 1,046", "Skyscraper", "1930–1931", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chrysler Building | 128 | Answer: |
Table InputTable: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["4", "4", "Close Encounters", "November 15, 1998", "104"], ["12", "12", "Bottom's Up", "March 7, 1999", "112"], ["13", "13", "Hot Dog", "March 14, 1999", "113"], ["2", "2", "Who's The Man", "November 1, 1998", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hot Dog | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["12", "November 22, 1981", "New Orleans Saints", "L 27–24", "49,581"], ["6", "October 11, 1981", "Seattle Seahawks", "W 35–17", "42,671"], ["1", "September 6, 1981", "at Los Angeles Rams", "W 27–20", "63,198"], ["16", "December 20, 1981", "Pittsb... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Player", "Goals", "Caps", "Career"], ["1", "Landon Donovan", "57", "155", "2000–present"], ["2", "Clint Dempsey", "36", "103", "2004–present"], ["8", "Eddie Johnson", "19", "62", "2004–present"], ["6T", "Jozy Altidore", "21", "67", "2007–present"], ["9T", "DaMarcus Beasley", "17", "114", "2001... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Eric Wynalda | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Game site", "NFL Recap", "Attendance"], ["8", "October 26, 1986", "St. Louis Cardinals", "W 37–6", "Texas Stadium", "[8]", "60,756"], ["4", "September 29, 1986", "at St. Louis Cardinals", "W 31–7", "Busch Memorial Stadium", "[4]", "49,077"], ["1", "September 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:... | 31 | 128 | Answer: |
Table InputTable: [["Number", "Name", "Service", "From", "To"], ["13", "MG Kenneth F. Cramer", "USA", "September 30, 1947", "September 4, 1950"], ["(Acting)", "Maj Gen Winston P. Wilson", "USAF", "June 1, 1959", "July 19, 1959"], ["15", "MG Edgar C. Erickson", "USA", "June 22, 1953", "May 31, 1959"], ["22", "Lt Gen Joh... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name", "Pennant", "Namesake", "Builder", "Ordered", "Laid down", "Launched", "Commissioned", "Fate"], ["Achilles", "70", "Achilles", "Cammell Laird", "16 February 1931", "11 June 1931", "1 September 1932", "24 March 1936", "Transferred to Royal New Zealand Navy as HMNZS Achilles 1941-1946\\nSold to... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Orion | 128 | Answer: |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["21 Oct 1920", "Swindon Town", "H", "0–1", "", "10,000"], ["26 Mar 1921", "Queens Park Rangers", "A", "0–2", "", "10,000"], ["5 Mar 1921", "Brighton & Hove Albion", "A", "0–1", "", "8,000"], ["27 Dec 1920", "Southend United", "A", "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:... | 13 | 128 | Answer: |
Table InputTable: [["Season", "Level", "Division", "Place"], ["2001/02", "7", "2ª Reg.", "1st"], ["2002/03", "6", "1ª Reg.", "1st"], ["1999/00", "7", "2ª Reg.", "11th"], ["1950–97", "", "Regional", "—"], ["1998/99", "7", "2ª Reg.", "8th"], ["2005/06", "5", "Reg. Pref.", "2nd"], ["2000/01", "7", "2ª Reg.", "8th"], ["199... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Position", "Player", "Transferred From", "Date"], ["MF", "Mohd Noor Ali", "Geylang United", "1 January 2010"], ["GK", "Fajar Sarib", "Geylang United", "1 January 2010"], ["DF", "Kazuki Yoshino", "Albirex Niigata (S)", "1 January 2010"], ["FW", "Rizawan Abdullah", "Balestier Khalsa", "1 January 2010... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rachid Lajane | 128 | Answer: |
Table InputTable: [["Year", "Designer(s)", "Brief description", "Selected by:", "Associated publication"], ["1996", "Female: Alexander McQueen\\nMale: Paul Smith", "Female: Floral brocade top with red 'bumster' trousers\\nMale: Bright blue two-piece suit and shirt", "Tamsin Blanchard", "The Independent"], ["1971", "Fem... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["6", "Craig Wood", "United States", "72-73-71-68=284", "–4", "300"], ["5", "Gene Sarazen", "United States", "73-66-72-72=283", "–5", "400"], ["9", "Ben Hogan", "United States", "75-71-72-72=290", "+2", "125"], ["1", "Ralph Guldahl", "Un... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 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:... | James River Reserve Fleet | 128 | Answer: |
Table InputTable: [["Season", "Tier", "League", "Pos.", "Postseason", "German Cup", "European competitions"], ["2000–01", "1", "Bundesliga", "10", "Relegation playoffs", "–", "–"], ["2001–02", "1", "Bundesliga", "7", "Quarterfinalist", "–", "–"], ["2002–03", "1", "Bundesliga", "2", "Finalist", "–", "–"], ["1992–93", "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:... | 3 | 128 | Answer: |
Table InputTable: [["Episode", "Show #", "Iron Chef", "Challenger", "Challenger specialty", "Secret ingredient(s) or theme", "Winner", "Final score"], ["6", "IA0506", "Bobby Flay", "Kurt Boucher", "French-American", "Arctic char", "Bobby Flay", "46-39"], ["2", "IA0508", "Mario Batali", "Tony Liu", "Pan-European", "Opah... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cat Cora | 128 | Answer: |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2009", "16 Jan 2009", "Wengen, Switzerland", "Super Combined", "", "", "", ""], ["2010", "4 Dec 2009", "Beaver Creek, USA", "Super Combined", "", "", "", ""], ["2008", "21", "64", "–", "28", "46", "46", "31... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 68 | 128 | Answer: |
Table InputTable: [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["3", "Davide Rebellin (ITA)", "Gerolsteiner", "s.t.", "25"], ["5", "Franco Pellizotti (ITA)", "Liquigas", "s.t.", "15"], ["4", "Paolo Bettini (ITA)", "Quick Step", "s.t.", "20"], ["8", "Stéphane Goubert (FRA)", "Ag2r-La Mondiale", "+ 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:... | 10 | 128 | Answer: |
Table InputTable: [["Season", "Footballer", "Club", "Position", "Nationality"], ["2004-05", "Sandile Ndlovu", "Dynamos", "FW", "South Africa"], ["1997-98", "Raphael Chukwu", "Mamelodi Sundowns", "FW", "Nigeria"], ["1996-97", "Wilfred Mugeyi", "Bush Bucks", "FW", "Zimbabwe"], ["1998-99", "Roger Feutmba", "Mamelodi Sundo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Raphael Chukwu | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Yugoslavia", "3", "2", "1", "6"], ["8", "Tunisia", "0", "1", "0", "1"], ["2", "Greece", "6", "7", "6", "19"], ["7", "Egypt", "0", "1", "7", "8"], ["1", "France", "11", "5", "3", "19"], ["5", "Morocco", "1", "1", "0", "2"], ["Totaal", "To... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["IC 342", "SAB(rs)cd", "03h 46m 48.5s", "+68° 05′ 46″", "31 ± 3", "9.1"], ["KK 35", "Irr", "03h 45m 12.6s", "+67° 51′ 51″", "105 ± 1", "17.2"], ["UGCA 92", "Im", "04h 32m 04.9s", "+63° 36′ 49.0″", "-99 ± 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:... | +68° 05′ 46″ | 128 | Answer: |
Table InputTable: [["Season", "Episodes", "Time slot (EST)", "Original airing\\nSeason premiere", "Original airing\\nSeason finale", "Original airing\\nTV season", "Rank", "Viewers\\n(in millions)"], ["1", "23", "Friday 9pm/8c (October 6, 2000 – January 12, 2001)\\nThursday 9pm/8c (February 1, 2001 – May 17, 2001)", "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:... | 8 | 128 | Answer: |
Table InputTable: [["", "Chronological\\nNo.", "Date\\n(New style)", "Water level\\ncm", "Peak hour"], ["46", "211", "3 January 1925", "225", "21:30"], ["1", "84", "19 November 1824", "421", "14:00"], ["24", "136", "20 October 1873", "242", "–"], ["23", "45", "29 September 1756", "242", ""], ["8", "14", "1 November 172... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Season/Torneo", "Jornada or Other", "Home Team", "Result", "Away Team", "Stadium", "Date"], ["Clausura 2008", "14 (Clasico 200)", "Chivas", "3-2", "América", "Estadio Jalisco", "April 13, 2008"], ["1986–1987 season", "24", "Chivas", "2–2", "América", "Estadio Jalisco", "11 January 1987"], ["1987–19... | 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:... | Clausura 2008 | 128 | Answer: |
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"], ["10.", "Nicola Ciotti", "Italy", "o", "o", "xo", "xxx", "2.24", ""], ["13.", "Mustapha Raifak", "France", "o", "o", "xxo", "xxx", "2.24", ""],... | 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:... | Roman Fricke | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["7", "36", "Bob Anderson", "Brabham-Climax", "44", "+ 4 laps", "12", ""], ["6", "44", "John Taylor", "Brabham-BRM", "45", "+ 3 laps", "15", "1"], ["3", "14", "Denny Hulme", "Brabham-Repco", "46", "+ 2 laps", "9", "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:... | John Taylor | 128 | Answer: |
Table InputTable: [["Region", "Physician (GP & specialist)", "Physician : Population Ratio", "Health Officer", "HO : Population Ratio", "All Nurses", "Nurse : Population Ratio", "Mid-wives", "Mid Wife: Population Ratio", "HEW*", "HEW : Population Ratio"], ["Somalia", "71", "1:65,817", "12", "1:389,415", "314", "1:14,88... | 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:... | 6 | 128 | Answer: |
Table InputTable: [["City", "County", "Population (2011)", "Population (2002)", "Altitude (m)", "Year status\\ngranted* or\\nfirst attested†"], ["Arad", "Arad", "159,074", "172,824", "107", "1028†"], ["Nădlac", "Arad", "7,398", "8,422", "", "1968*"], ["Pâncota", "Arad", "6,946", "7,418", "", "1968*"], ["Sebiș", "Arad",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | no | 128 | Answer: |
Table InputTable: [["Location", "Reactor type", "Status", "Net\\nCapacity\\n(MWe)", "Gross\\nCapacity\\n(MWe)"], ["Smolensk-4", "RBMK-1000", "construction cancelled in 1993", "925", "1,000"], ["Chernobyl-5", "RBMK-1000", "construction cancelled in 1988", "950", "1,000"], ["Chernobyl-6", "RBMK-1000", "construction cance... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kursk-6 | 128 | Answer: |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Jose Menendez", "D", "San Antonio", "124"], ["Roland Gutierrez", "D", "San Antonio", "119"], ["Trey Martinez Fischer", "D", "San Antonio", "116"], ["Philip Cortez", "D", "San Antonio", "117"], ["Lyle Larson", "R", "San Antonio", "122"], ["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:... | 10 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["4", "Soviet Union (URS)", "1", "0", "0", "1"], ["3", "Germany (EUA)", "1", "0", "1", "2"], ["2", "Italy (ITA)", "1", "1", "1", "3"], ["5", "Switzerland (SUI)", "0", "2", "1", "3"], ["7", "Great Britain (GBR)", "0", "0", "1", "1"], ["1", "Aust... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Great Britain (GBR) | 128 | Answer: |
Table InputTable: [["Thread\\nnominal size", "Outer diameter\\n[mm (in)]", "Threads per inch\\n(TPI)", "Pitch\\n[in (mm)]", "Inner diameter\\n[mm (in)]", "Cable diameter\\n[mm (in)]"], ["PG16", "22.5 (0.886)", "18", "0.05556 (1.4112)", "21.16 (0.833)", "10 to 14 (0.394 to 0.551)"], ["PG42", "54.0 (2.126)", "16", "0.062... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["November 21", "Michigan State", "#19", "Kinnick Stadium • Iowa City, IA", "", "W 36-7", "60,103"], ["November 7", "Purdue", "", "Kinnick Stadium • Iowa City, IA", "", "W 33-7", "60,114"], ["September 19", "at Iowa State*", "", "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:... | vs. #12 Washington* | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["1997", "USA Outdoor Championships", "Indianapolis, United States", "1st", "100 m hurdles"], ["1998", "USA Indoor Championships", "", "1st", "60 m hurdles"], ["2002", "USA Indoor Championships", "", "1st", "60 m hurdles"], ["2000", "Olympic Game... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1997 | 128 | Answer: |
Table InputTable: [["Political lieutenant", "District\\n(Area)", "Took Office", "Left Office", "Party leader"], ["Georges-Henri Héon", "Argenteuil\\n(Laurentides)", "1949", "1949", "George A. Drew"], ["Marcel Faribault", "none", "1967", "1968", "Robert Stanfield"], ["Claude Wagner", "Saint-Hyacinthe\\n(Montérégie)", "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:... | André Bachand | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints"], ["13", "Ann Fargher (NZL)", "421.65", "13", ""], ["18", "Valerie McFarland-Beddoe (AUS)", "401.13", "18", ""], ["", "Kelly McCormick (USA)", "516.75", "2", "527.46"], ["", "Christina Seufert (USA)", "481.41", "5", "517... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 421.65 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["11", "November 26, 1987", "at Detroit Lions", "W 27–20", "43,820"], ["8", "November 8, 1987", "Pittsburgh Steelers", "L 17–16", "45,249"], ["9", "November 15, 1987", "New York Jets", "L 16–9", "40,718"], ["7", "November 1, 1987", "at Chicago Bea... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["T10", "Vijay Singh", "Fiji", "70-71-72-72=285", "+5", "44,184"], ["3", "Tom Lehman", "United States", "70-72-67-74=283", "+3", "131,974"], ["T4", "Jeff Magge... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Winner", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Win $"], ["2003", "Indy Five Hundred", "Pat Day", "Robert Barbara", "Georgica Stable", "1-1/8", "1:48.44", "$150,000"], ["2009", "Miss World", "Cornelio Velasquez", "Christophe Clement", "Waratah Thoroughbreds", "1-1/8", ... | 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:... | 2013 | 128 | Answer: |
Table InputTable: [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["1987-88", "1", "1988 1st Division", "Bent Christensen (21)", "Finalist", "EC3 2nd round", ""], ["1988-89", "2", "1989 1st Division", "Bent Christensen (10)", "Winner", "EC1 1st round", ""],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1987-88 | 128 | Answer: |
Table InputTable: [["Year", "Network", "Race caller", "Color commentator", "Reporters", "Trophy Presentation"], ["1958", "CBS", "Fred Capossela", "Bryan Field", "", ""], ["1956", "CBS", "Fred Capossela", "Bryan Field", "", ""], ["1957", "CBS", "Fred Capossela", "Bryan Field", "", ""], ["1959", "CBS", "Fred Capossela", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["President", "Became Oldest Living President", "Ceased to Be Oldest Living President", "Age at Start Date", "Age at End Date", "Duration (Years, Days)", "Duration (Days)"], ["George H. W. Bush", "December 26, 2006", "Current oldest living president", "82 years, 197 days", "Current oldest living pres... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Result", "Award", "Film"], ["2012", "Won", "WWE Slammy Award Top Social Media Ambassador", "WWE Raw"], ["2007", "Nominated", "Teen Choice Award Choice TV Actor: Comedy", "Two and a Half Men"], ["2008", "Nominated", "Outstanding Lead Actor - Comedy Series", "Two and a Half Men"], ["2007", "N... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["31 October 1992", "Southampton", "A", "0–1", "10,827", ""], ["24 October 1992", "Aston Villa", "H", "1–1", "13,457", "Olney"], ["17 October 1992", "Sheffield Wednesday", "A", "1–2", "24,485", "Milligan"], ["15 August 1992", "Chelsea"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 August 1992, 19 August 1992, 7 April 1993, 13 April 1993 | 128 | Answer: |
Table InputTable: [["Match no.", "Match Type", "Team Europe", "Score", "Team USA", "Progressive Total"], ["28", "Singles", "Tore Torgersen", "206 - 275", "Doug Kent", "15 - 13"], ["31", "Singles", "Tore Torgersen", "202 - 264", "Chris Barnes", "15 - 16"], ["25", "Singles", "Mika Koivuniemi", "217 - 279", "Chris Barnes"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2001", "Mauro Biello", "–", "–", "–"], ["1998", "Mauro Biello", "–", "–", "–"], ["1997", "Mauro Biello", "–", "–", "–"], ["2005", "Mauro Biello", "Nevio Pizzolitto", "Mauricio Vincello", "Masahiro Fukazawa"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Player", "Nation", "Club", "Goals"], ["1", "Jhonny Arteaga", "COL", "FC New York", "13"], ["2", "Matthew Delicâte", "ENG", "Richmond Kickers", "10"], ["9", "Chris Banks", "USA", "Wilmington Hammerheads", "7"], ["9", "George Davis IV", "USA", "Dayton Dutch Lions", "7"], ["6", "Andriy Budnyy"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Diver", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints"], ["23", "Angela Ribeiro (BRA)", "370.68", "23", ""], ["18", "Valerie McFarland-Beddoe (AUS)", "401.13", "18", ""], ["21", "Nicole Kreil (AUT)", "382.68", "21", ""], ["20", "Kerstin Finke (FRG)", "393.93", "20", ""], ["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: [["Year", "Film", "Role", "Language", "Notes"], ["2012", "Addhuri", "Poorna", "Kannada", "Udaya Award for Best Actress\\nNominated — SIIMA Award for Best Actress\\nNominated — Filmfare Award for Best Actress – Kannada"], ["2012", "Alemari", "Neeli", "Kannada", ""], ["2008", "Moggina Manasu", "Chanchal... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Addhuri | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par"], ["T7", "Tiger Woods", "United States", "70-71-72=213", "+3"], ["1", "Retief Goosen", "South Africa", "68-70-69=207", "–3"], ["T2", "Olin Browne", "United States", "67-71-72=210", "E"], ["T7", "Lee Westwood", "England", "68-72-73=213", "+3"], ["T7", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["4", "Parc des Princes", "48,712", "Paris", "Île-de-France", "Paris Saint-Germain FC", "1897"], ["12", "Stade de la Mosson", "32,939", "Montpellier", "Languedoc-Roussillon", "Montpellier HSC", "1972"], ["7", "Stade de la Beaujoir... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Stade de France | 128 | Answer: |
Table InputTable: [["Site", "Municipality", "Comments", "Coordinates", "Type", "Ref."], ["*Itsukushima\\n厳島\\nItsukushima", "Hatsukaichi", "also a Special Historic Site; Itsukushima Jinja is inscribed on the UNESCO World Heritage List", "34°16′16″N 132°18′22″E / 34.27116774°N 132.30612348°E", "8", "[3]"], ["Kikkawa 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:... | Kikkawa Motoharu Fortified Residence Gardens | 128 | Answer: |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["9 Sep 1950", "Swindon Town", "A", "0–2", "", "14,021"], ["28 Oct 1950", "Bournemouth & Boscombe Athletic", "A", "0–2", "", "13,466"], ["19 Aug 1950", "Nottingham Forest", "H", "0–2", "", "16,595"], ["16 Sep 1950", "Colchester United... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Venue", "Opponent", "Result", "Scoreline", "China scorers"], ["May 25", "Kunshan", "Jordan", "Won", "2-0", "Hao Junmin 23' pen\\nLi Weifeng 48'"], ["March 15", "Kunming", "Thailand", "Drawn", "3-3", "Qu Bo 34'\\nHan Peng 67'\\nZhu Ting 90'"], ["January 27", "Zhongshan", "Syria", "Won", "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:... | Qu Bo | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Site", "Result"], ["January 1, 1927", "vs. Stanford*", "Rose Bowl • Pasadena, CA (Rose Bowl)", "T 7–7"], ["November 13", "Florida", "Cramton Bowl • Montgomery, AL", "W 49–0"], ["September 24", "Millsaps*", "Denny Field • Tuscaloosa, AL", "W 54–0"], ["November 6", "Kentucky", "Ri... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 54 | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Name", "Country", "Time", "Time behind"], ["–", "2", "Ermanno Ioriatti", "Italy", "DQ", "–"], ["–", "5", "Maciej Ustynowicz", "Poland", "DQ", "–"], ["–", "6", "Erik Zachrisson", "Sweden", "DQ", "–"], ["9", "18", "Casey FitzRandolph", "United States", "1:09.59", "+0.70"], ["", "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:... | 3 | 128 | Answer: |
Table InputTable: [["Party", "Candidate", "Votes", "%", "±%"], ["Conservative", "Patrick McLoughlin", "24,280", "48.0", "+5.9"], ["Labour", "Stephen Clamp", "16,910", "33.4", "-0.1"], ["Turnout", "Turnout", "50,589", "67.8", "-10.5"], ["UKIP", "Stuart Bavester", "672", "1.3", "+0.5"], ["Liberal Democrat", "Jeremy Becke... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7370 | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Engine", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["9", "98", "Alex Tagliani", "Team Barracuda – BHA", "Honda", "85", "+ 39.6868", "8", "0", "22"], ["6", "3", "Hélio Castroneves", "Team Penske", "Chevrolet", "85", "+ 11.2575", "4", "0", "28"], ["1", "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:... | Team Penske | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Lanny Poffo", "1", "May 10, 1978", "San Francisco, California", "Defeated Joe Banek to become the first champion"], ["Lanny Poffo", "4", "January 1, 1984", "Springfield, Illinois", ""], ["Lanny Poffo", "2", "July 21, 1979", "Lexington, Kentucky... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | November 13, 1983 | 128 | Answer: |
Table InputTable: [["No.", "Date", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["10.", "May 27, 2013", "Argentina F8", "Clay", "Sergio Galdós", "Daniel Dutra da Silva\\n Pablo Galdón", "6-0, 7-5"], ["2.", "April 4, 2011", "Chile F2", "Clay", "Sergio Galdós", "Guillermo Hormazábal\\n Rodrig... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sergio Galdós | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["Ret", "10", "Peter Gethin", "McLaren-Ford", "22", "Accident", "14", ""], ["7", "22", "John Surtees", "Surtees-Ford", "79", "+ 1 Lap", "10", ""], ["8", "27", "Henri Pescarolo", "March-Ford", "77", "+ 3 Laps", "13", ""]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Clay Regazzoni | 128 | Answer: |
Table InputTable: [["Date", "Location", "Opponent", "Result", "Competition"], ["July 8, 2013", "Harrison, United States", "Honduras", "0–2", "GC"], ["March 20, 2013", "Muscat, Oman", "Oman", "0–3", "F"], ["January 19, 2013", "Concepción, Chile", "Chile", "0–3", "F"], ["June 8, 2013", "Miami, United States", "Spain", "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:... | 5 | 128 | Answer: |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Chechen Republic", "Carmen Jenockova", "Цармен Йеноцкова", "24", "1.80 m (5 ft 11 in)", "Urus-Martan"], ["Bashkortostan Republic", "Aimee Neosaranova", "Аимее Неосаранова", "19", "1.77 m (5 ft 9 1⁄2 in)", "Ufa"], ["North Ossetia... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Carmen Jenockova | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-A-6", "2006..", "[[]]", "[[]]", "-"], ["GL-A-1", "2006..", "[[]]", "[[]]", "-"], ["GL-A-4", "2006..", "[[]]", "[[]]", "-"], ["GL-A-2", "2006..", "[[]]", "[[]]", "-"], ["GL-A-3", "2006..", "[[]]", "[[]]", "-"], ["GL-A-5", "2006..", "[[]]", "[[]]",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Name", "Pennant", "Namesake", "Builder", "Ordered", "Laid down", "Launched", "Commissioned", "Fate"], ["Achilles", "70", "Achilles", "Cammell Laird", "16 February 1931", "11 June 1931", "1 September 1932", "24 March 1936", "Transferred to Royal New Zealand Navy as HMNZS Achilles 1941-1946\\nSold to... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Restaurant", "Location", "Date Opened", "Date Closed"], ["Maze / Maze Grill by Gordon Ramsay", "Crown Metropol, Melbourne, Australia", "March 2010", "August 2011"], ["Maze by Gordon Ramsay", "The Pearl-Qatar, Doha, Qatar", "2010", "March 2012"], ["Maze by Gordon Ramsay", "One and Only Hotel, Cape 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:... | Maze | 128 | Answer: |
Table InputTable: [["Date", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["August 30", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 2, Home", "Käerjeng", "Stade Maurice Dufrasne, Liège", "1-0"], ["August 16", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 1, Away", "Käerjeng", "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: [["Builder", "Works numbers", "Dates", "CN numbers", "GT numbers", "Notes"], ["MLW", "42331-42345\\n43150-43164", "1907", "2577-2605\\n2661-2662\\n2685", "721-750", ""], ["MLW", "39548-39562\\n40583-40622", "1906", "2525-2566\\n2663", "651-705", ""], ["ALCO", "49663-49674", "1911", "2616-2625\\n2677-2... | 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:... | ALCO | 128 | Answer: |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["Yehuda Weissenstein", "Fencing", "Men's foil", "Second round", "W2–L8 (1R 2-3, 2R 0-5)"], ["Dan Alon", "Fencing", "Men's foil", "Second round", "W5–L5 (1R 3-2, 2R 2-3)"], ["Eliezer Halfin", "Wrestling", "Freestyle — Lightweight <68 kg", "Group 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:... | 3 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["7", "Oct 11", "at Montreal Alouettes", "24–6", "Loss", "1–8"], ["11", "Nov 6", "at Toronto Argonauts", "18–12", "Loss", "1–12"], ["8", "Oct 16", "vs. Toronto Argonauts", "27–11", "Loss", "1–9"], ["1", "Aug 28", "at Toronto Argonauts", "13–6... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Episode no.", "Airdate", "Viewers", "BBC Three weekly ranking", "Multichannels rank"], ["5", "23 May 2013", "1,092,000", "1", "5"], ["3", "9 May 2013", "885,000", "1", "11"], ["4", "16 May 2013", "880,000", "1", "13"], ["12", "11 July 2013", "", "", ""], ["8", "13 June 2013", "840,000", "5", "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:... | 16 May 2013 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Score", "Result", "Record"], ["July 1", "Minnesota", "71-69", "Win", "8-7"], ["July 29", "Minnesota", "73-58", "Win", "14-8"], ["June 17", "@ Minnesota", "77-68", "Win", "5-5"], ["June 1", "@ Minnesota", "64-68 (OT)", "Loss", "2-2"], ["July 15", "@ Seattle", "55-69", "Loss", "10... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | July 29 | 128 | Answer: |
Table InputTable: [["Locomotive", "Name", "Serial No", "Entered Service", "Livery"], ["9015", "Duncan Armstrong", "1387/918266-15", "Jul 94", "FreightCorp"], ["9027", "-", "1399/918266-27", "Aug 94", "FreightCorp"], ["9008", "Ralph Doubell", "1380/918266-8", "Aug 94", "FreightCorp"], ["9026", "David Theile", "1398/9182... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1381/918266-9 | 128 | Answer: |
Table InputTable: [["Year", "Song", "Album", "Position", "Chart"], ["1993", "\"Endlessly\"", "The Way I Am", "--", "Billboard Hot 100"], ["1989", "\"Sunshine\"", "24/7", "23", "Billboard Hot 100"], ["1991", "\"Gentle\"", "Swingin'", "31", "Billboard Hot 100"], ["1989", "\"24/7\"", "24/7", "42", "Billboard Hot 100"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 24/7 | 128 | Answer: |
Table InputTable: [["Year", "Network", "NASCAR\\nCountdown", "Lap-by-lap", "Color commentator(s)", "Pit reporters", "Ratings", "Viewers"], ["2009", "ESPN", "Allen Bestwick\\nRusty Wallace\\nBrad Daugherty\\nRay Evernham", "Jerry Punch", "Dale Jarrett\\nAndy Petree", "Dave Burns\\nJamie Little\\nShannon Spake\\nVince We... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 29.133 million | 128 | Answer: |
Table InputTable: [["Tournament", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "W–L"], ["Win–Loss", "0–1", "0–1", "0–1", "3–4", "0–3", "4–4", "1–4", "0–1", "8–19"], ["Titles–Finals", "0–0", "0–0", "0–0", "0–0", "0–0", "0–1", "0–0", "", "0–1"], ["Year-End Ranking", "139", "325", "82", "89", "112", "51... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2011 | 128 | Answer: |
Table InputTable: [["Atomic\\nno.", "Name", "Symbol", "Group", "Period", "Block", "State at\\nSTP", "Occurrence", "Description"], ["1", "Hydrogen", "H", "1", "1", "s", "Gas", "Primordial", "Non-metal"], ["118", "(Ununoctium)", "Uuo", "18", "7", "p", "", "Synthetic", ""], ["26", "Iron", "Fe", "8", "4", "d", "Solid", "Pr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["1 October 2005", "West Ham United", "Stadium of Light", "1–1", "31,212", "Miller"], ["23 October 2005", "Newcastle United", "St James' Park", "2–3", "52,302", "Lawrence, Elliott"], ["15 October 2005", "Manchester United", "Stadium 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:... | 0 | 128 | Answer: |
Table InputTable: [["Team", "City", "Venue", "Capacity", "Head Coach", "Team Captain", "Past Season"], ["Persepolis", "Tehran", "Azadi", "90,000", "Nelo Vingada", "Karim Bagheri", "Champion"], ["Foolad", "Ahvaz", "Takhti Ahvaz", "15,000", "Majid Jalali", "Ali Badavi", "Qualifier"], ["Payam", "Mashhad", "Samen", "35,000... | 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:... | 18 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["17 September 1960", "Fulham", "A", "2-3", "37,423", "Livesey, Blunstone"], ["19 September 1960", "Blackburn Rovers", "A", "1-3", "21,508", "Brabrook"], ["7 September 1960", "Blackburn Rovers", "H", "5-2", "23,224", "Greaves (3), Live... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: |
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