context stringlengths 231 1.31k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 |
|---|---|---|---|---|
Table InputTable: [["Preceded by\\nAlfred Scott", "Member of Parliament for Ashton-under-Lyne\\n1910–1916", "Succeeded by\\nAlbert Stanley"], ["Preceded by\\nSir Frederick Cawley", "Chancellor of the Duchy of Lancaster\\n1918", "Succeeded by\\nThe Lord Downham"], ["New creation", "Baron Beaverbrook\\n1917–1964", "Succe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1918 | Answer: | 128 |
Table InputTable: [["Year", "Film", "Role", "Notes"], ["1972", "Eagle in a Cage", "Betty Balcombe", ""], ["2011", "Cockneys vs Zombies", "Doreen", ""], ["1978", "Sweeney 2", "Switchboard Girl", ""], ["1971", "The Boy Friend", "Fay", ""], ["1980", "The Watcher in the Woods", "Young Mrs Aylwood", ""], ["2013", "Still Wat... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1972 | Answer: | 128 |
Table InputTable: [["#", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["8", "March 14, 1993", "Tokyo, Japan", "Japan", "1–0", "1–3", "Friendly"], ["12", "March 26, 1994", "Dallas, Texas", "Bolivia", "1–1", "2–2", "Friendly"], ["11", "February 20, 1994", "Miami, Florida", "Sweden", "1–3", "1–0", "Frie... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | High Point, North Carolina | Answer: | 128 |
Table InputTable: [["Olympics", "Athlete", "Judge (Official)", "Coach", "Language"], ["1976 Summer Olympics", "Pierre St.-Jean", "Maurice Fauget", "-", "French (St.-Jean)/English (Fauget)"], ["1984 Summer Olympics", "Edwin Moses", "Sharon Weber", "-", "English"], ["1956 Summer Olympics", "John Landy (Melbourne)\\nHenri... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ruslan Zakharov | Answer: | 128 |
Table InputTable: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["5", "5", "Hurricane Jules", "November 22, 1998", "105"], ["1", "1", "Going Up!", "October 25, 1998", "101"], ["4", "4", "Close Encounters", "November 15, 1998", "104"], ["12", "12", "Bottom's Up", "March 7, 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:... | Switcheroo | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["2009", "4", "USL PDL", "6th, Heartland", "Did not qualify", "Did not qualify"], ["2004", "4", "USL PDL", "6th, Heartland", "Did not qualify", "Did not qualify"], ["2008", "4", "USL PDL", "5th, Heartland", "Did not qualify", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2004 | Answer: | 128 |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Randy Savage", "3", "1982", "Unknown", ""], ["Randy Savage", "2", "1981", "Unknown", ""], ["Randy Savage", "1", "March 13, 1979", "Halifax, Nova Scotia", ""], ["Paul Christy", "1", "November 13, 1983", "Springfield, Illinois", ""], ["Lanny Poff... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["9", "107", "Virat Kohli", "India", "114", "2", "Sri Lanka", "24 December 2009", "Won"], ["6", "134*", "Graeme Smith", "South Africa", "124", "2", "India", "25 November 2005", "Won"], ["11", "101", "Paul Stirlin... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Name", "Club", "Nationality", "Points"], ["8", "Alessandro Mazzola", "Internazionale", "Italy", "9"], ["15", "Mario Corso", "Internazionale", "Italy", "3"], ["7", "Gianni Rivera", "Milan", "Italy", "10"], ["2", "Giacinto Facchetti", "Internazionale", "Italy", "59"], ["17", "Milan Galić", "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:... | 20.25 | Answer: | 128 |
Table InputTable: [["Hull", "Type", "Original Name", "Original Operator", "Delivery", "Disposition (2012)", "2nd name", "2nd operator", "3rd Name", "3rd operator"], ["№ 9", "929-117", "Venus", "Kyushu Yusen", "Mar 1991", "Active", "", "", "", ""], ["№ 12", "929-117", "Toppy 2", "Tane Yaku Jetfoils", "Apr 1992", "Active... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Suisei | Answer: | 128 |
Table InputTable: [["#", "Date", "Location", "Winner", "Score\\nJSU", "Score\\nTU", "Series"], ["2", "October 28, 1927", "?", "Jacksonville State", "26", "12", "JSU 2–0"], ["8", "November 11, 1938", "Jacksonville, AL", "Tied", "6", "6", "TSU 4–3–1"], ["1", "November 27, 1924", "Jacksonville, AL", "Jacksonville State", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 70 | Answer: | 128 |
Table InputTable: [["Chord", "Root", "Minor Third", "Perfect Fifth", "Major Seventh"], ["DmM7", "D", "F", "A", "C♯"], ["GmM7", "G", "B♭", "D", "F♯"], ["EmM7", "E", "G", "B", "D♯"], ["D♭mM7", "D♭", "F♭ (E)", "A♭", "C"], ["CmM7", "C", "E♭", "G", "B"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | above | Answer: | 128 |
Table InputTable: [["Date", "Venue", "Opponent", "Result", "Scoreline", "China scorers"], ["Dec 17", "Muscat", "Oman", "Lost", "1-3", "Qu Bo 58'"], ["Dec 19", "Muscat", "Iran", "Lost", "0-2", ""], ["April 23", "Los Angeles", "El Salvador", "Drawn", "2-2", "Xiao Zhanbo 62' pen\\nQu Bo 63'"], ["January 20", "Zhongshan", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dec 21 | Answer: | 128 |
Table InputTable: [["Country", "Amphibians", "Birds", "Mammals", "Reptile", "Total terrestrial vertebrates", "Vascular plants", "Biodiversity"], ["Guatemala", "133", "684", "193", "236", "1246", "8681", "9927"], ["Belize", "46", "544", "147", "140", "877", "2894", "3771"], ["Costa Rica", "183", "838", "232", "258", "15... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 684 | Answer: | 128 |
Table InputTable: [["Model", "1991", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"], ["Škoda Superb", "−", "−", "−", "−", "−", "−", "−", "177", "16,867", "23,135", "22,392", "22,091", "20,989", "20,530", "25,645", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1997 | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["5", "Sept 25", "vs. Hamilton Tiger-Cats", "38–12", "Loss", "1–5"], ["10", "Oct 30", "vs. Hamilton Tiger-Cats", "30–9", "Loss", "1–11"], ["3", "Sept 11", "at Toronto Argonauts", "12–5", "Win", "1–3"], ["12", "Nov 13", "vs. Montreal Alouettes... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Sl no", "Name of the prabandham", "Starting from", "Ending with", "Number of pasurams", "Sung by"], ["", "Total number of pasurams", "", "", "3776", ""], ["18", "Thiruvasiriyam", "2578", "2584", "7", "Nammalvar"], ["16", "Naanmugan Thiruvandhadhi", "2382", "2477", "96", "Thirumalisai alvar"], ["11"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 96 | Answer: | 128 |
Table InputTable: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["1", "Dr Abdus Salam", "1961", "1967", "Imperial College", "Theoretical Physics", "Doctor of Philosophy (Ph.D)"], ["3", "Air Commodore K. M. Ahmad", "1979", "1980", "Pakistan Air Force Academy", "Fl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Major General Ahmed Bilal | Answer: | 128 |
Table InputTable: [["District", "Location", "Communities served"], ["Solon/Bainbridge Montessori School of Languages", "Bainbridge Township, Ohio", "nonsectarian Montessori School: quarterly enrollment periods"], ["Hershey Montessori Farm School", "Huntsburg Township, Ohio", "parent-owned, and chartered by Ohio Departm... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Winner", "Age", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Purse", "Gr"], ["1966", "Williamston Kid †", "3", "Robert Stevenson", "James Bartlett", "Ternes & Bartlett", "1-1/8", "1:50.60", "", ""], ["1969", "Top Knight", "3", "Manuel Ycaza", "Ray Metcalf", "Steven B. Wilson... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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"], ["9", "26 Sep 2010", "Asia-Pacific Panasoni... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tsuruya Open | Answer: | 128 |
Table InputTable: [["Year", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1928", "8", "4", "117.031", "4", "10", "200", "33", "Running"], ["1939", "62", "27", "121.749", "24", "11", "200", "0", "Running"], ["1937", "38", "7", "118.788", "16", "8", "200", "0", "Running"], ["1927", "27", "27", "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:... | 200 | Answer: | 128 |
Table InputTable: [["#", "Player", "Goals", "Caps", "Career"], ["8", "Eddie Johnson", "19", "62", "2004–present"], ["1", "Landon Donovan", "57", "155", "2000–present"], ["9T", "Earnie Stewart", "17", "101", "1990–2004"], ["2", "Clint Dempsey", "36", "103", "2004–present"], ["4", "Brian McBride", "30", "95", "1993–2006"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 36 | Answer: | 128 |
Table InputTable: [["Year", "Film", "Rotten Tomatoes", "Metacritic", "IMDb"], ["2006", "The Boss of It All", "74%", "71%", "6.7/10"], ["2000", "Dancer in the Dark", "68%", "61%", "8.0/10"], ["1996", "Breaking the Waves", "86%", "76%", "7.9/10"], ["1998", "The Idiots", "70%", "47%", "6.9/10"], ["2003", "The Five Obstruc... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 15 | Answer: | 128 |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Jose Menendez", "D", "San Antonio", "124"], ["Roland Gutierrez", "D", "San Antonio", "119"], ["Philip Cortez", "D", "San Antonio", "117"], ["Mike Villarreal", "D", "San Antonio", "123"], ["Joe Farias", "D", "San Antonio", "118"], ["Trey Mar... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Justin Rodriguez | Answer: | 128 |
Table InputTable: [["Rank", "Island", "Area\\n(km²)", "Area\\n(sq mi)", "Country/Countries/Region"], ["220", "Sheppey", "94", "36", "United Kingdom"], ["243", "Ytre Vikna (outer island of Vikna archipelago)", "83", "32", "Norway"], ["268", "Guernsey", "63", "24", "Guernsey, British Crown dependency"], ["226", "Öja (isl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | United Kingdom | Answer: | 128 |
Table InputTable: [["Year", "Network", "Race caller", "Color commentator", "Reporters", "Trophy Presentation"], ["1953", "CBS", "Bryan Field", "Mel Allen", "Phil Sutterfield", "Phil Sutterfield"], ["1952", "CBS", "Bryan Field", "Sam Renick", "", ""], ["1956", "CBS", "Fred Capossela", "Bryan Field", "", ""], ["1954", "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:... | 3 | Answer: | 128 |
Table InputTable: [["Year", "Song", "US Hot 100", "U.S. Modern Rock", "U.S. Mainstream Rock", "Album"], ["1998", "\"The Sick\"", "-", "-", "-", "An Audio Guide To Everyday Atrocity"], ["1997", "\"One Thing\"", "-", "-", "-", "Pacifier"], ["2003", "\"Ether\"", "-", "-", "-", "Skeletons"], ["1998", "\"Breathe Out\"", "-"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2004", "17", "112", "–", "–", "51", "–", "—"], ["2005", "18", "37", "–", "27", "18", "49", "—"], ["2006", "19", "22", "–", "18", "37", "15", "—"], ["2011", "24", "Injured, did not compete", "Injured, did no... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 112 | Answer: | 128 |
Table InputTable: [["Year", "Film", "Role", "Language", "Notes"], ["2008", "Moggina Manasu", "Chanchala", "Kannada", "Filmfare Award for Best Actress - Kannada\\nKarnataka State Film Award for Best Actress"], ["2012", "Addhuri", "Poorna", "Kannada", "Udaya Award for Best Actress\\nNominated — SIIMA Award for Best Actre... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Moggina Manasu | Answer: | 128 |
Table InputTable: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["5", "July 8", "Watkins Glen‡", "Hal Shaw, Jr.\\n Monte Shelton", "Porsche 935", "Brian Fuerstenau\\n Bob Tullius", "Jaguar XJS"], ["7", "August 19", "Mosport", "Greg Picke... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | no | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["7", "Norway", "2", "1", "1", "4"], ["5", "Sweden", "2", "4", "4", "10"], ["4", "Switzerland", "3", "2", "1", "6"], ["3", "Finland", "3", "3", "1", "7"], ["2", "Austria", "4", "3", "4", "11"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["1999", "World Youth Championships", "Bydgoszcz, Poland", "13th (q)", "4.60 m"], ["2003", "European U23 Championships", "Bydgoszcz, Poland", "13th (q)", "5.20 m"], ["2001", "European Junior Championships", "Grosseto, Italy", "7th", "5.15 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:... | 2010 | Answer: | 128 |
Table InputTable: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["202.6 km/h (126 mph)", "1938-07-03", "UK", "LNER Class A4 No. 4468 Mallard", "Loc", "Steam", "Unkn.", "Downhill grade. Data indicates peak speed 202.6 km/h (126 mph), mean speed (half-mile) 201.2 km/h (125 mph). Mallard 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:... | 202.6 km/h | Answer: | 128 |
Table InputTable: [["District", "Incumbent", "Party", "First\\nelected", "Result", "Candidates"], ["Maryland 7", "Elijah Cummings", "Democratic", "1996", "Re-elected", "Elijah Cummings (D) 73.53%\\nJoseph Ward (R) 26.38%"], ["Maryland 5", "Steny Hoyer", "Democratic", "1981", "Re-elected", "Steny Hoyer (D) 69.27%\\nJose... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Wayne Gilchrest, Ben Cardin, Albert Wynn, Steny Hoyer, Roscoe Bartlett, Elijah Cummings | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Nationality", "Time", "Notes", "Points"], ["2", "Jeff Lastennet", "France", "1:46.70", "", "11"], ["3", "Gareth Warburton", "Great Britain", "1:46.95", "SB", "10"], ["8", "Robin Schembera", "Germany", "1:47.79", "", "5"], ["4", "Mario Scapini", "Italy", "1:47.20", "PB", "9"], ["12",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1:46.70 | Answer: | 128 |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Engine", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["1", "2", "Ryan Briscoe", "Team Penske", "Chevrolet", "85", "2:07:02.8248", "2", "27", "50"], ["18", "28", "Ryan Hunter-Reay", "Andretti Autosport", "Chevrolet", "84", "+ 1 lap", "7", "1", "12"], ["15",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2:07:02.8248 | Answer: | 128 |
Table InputTable: [["Match Day", "Date", "Opponent", "H/A", "Score", "Aberdeen Scorer(s)", "Attendance"], ["34", "20 March", "Airdrieonians", "H", "3–0", "Brewster, Cail, Main", "5,500"], ["31", "27 February", "Third Lanark", "A", "1–0", "Walker", "5,000"], ["20", "19 December", "Kilmarnock", "H", "3–0", "MacLachlan, 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:... | 4 | Answer: | 128 |
Table InputTable: [["Rank", "Diver", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints"], ["11", "Anita Rossing (SWE)", "464.58", "7", "424.98"], ["19", "Alison Childs (GBR)", "400.68", "19", ""], ["23", "Angela Ribeiro (BRA)", "370.68", "23", ""], ["24", "Rim Hassan (EGY)", "258.63", "24", ""], ["18", "Val... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 525.26 | Answer: | 128 |
Table InputTable: [["Year", "Kit Manufacturer", "Shirt Sponsor", "Back of Shirt Sponsor", "Short Sponsor"], ["1995–1996", "Matchwinner", "Empress", "", ""], ["1982–1985", "Umbro", "", "", ""], ["1986–1988", "Henson", "Duraflex", "", ""], ["1985–1986", "Umbro", "Whitbread", "", ""], ["1977–1978", "", "National Express",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1982-1985 | Answer: | 128 |
Table InputTable: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Jerome B. Libin", "1959", "1960", "Michigan (1959)", "none"], ["Patrick F. McCartan", "1959", "1960", "Notre Dame (1959)", "none"], ["Heywood H. Davis", "1958", "1959", "Kansas (1958)", "none"], ["William C. Canby, Jr.", "1958... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | D. Lawrence Gunnels | Answer: | 128 |
Table InputTable: [["Hand", "Auto", "Wind", "Athlete", "Nationality", "Birthdate", "Location", "Date"], ["", "10.90", "", "Thaddeus Bell", "United States", "28.11.1942", "Raleigh", "01.05.1988"], ["10.7", "", "", "Klaus Jürgen Schneider", "Germany", "02.03.1942", "Stuttgart", "07.07.1982"], ["", "10.95", "", "Karl Hein... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Klaus Jürgen Schneider | Answer: | 128 |
Table InputTable: [["Competition", "Total spectatorship", "Average match attendance", "Year"], ["State of Origin series", "186,607", "62,202", "2011"], ["Rugby Championship", "133,532", "44,511", "2012"], ["Super Rugby", "773,940", "19,348", "2012"], ["National Rugby League", "3,345,248", "16,643", "2013"], ["Australia... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | State of Origin series | Answer: | 128 |
Table InputTable: [["Season", "Competition", "Round", "Club", "Home", "Away"], ["2012–13", "UEFA Europa League", "1QR", "Budapest Honvéd", "0–1", "0–2"], ["", "", "2QR", "FK Jablonec 97", "0–2", "1–5"], ["2009–10", "UEFA Europa League", "2QR", "Motherwell", "1–0", "1–8"], ["1996–97", "UEFA Cup Winners' Cup", "QR", "Hum... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2012-13 | Answer: | 128 |
Table InputTable: [["Date", "Festival", "Location", "Awards", "Link"], ["Sep 16", "Athens International Film Festival", "Athens, Attica\\n Greece", "Best Director", "aiff.gr"], ["Sep 19", "Lund International Fantastic Film Festival", "Lund, Skåne\\n Sweden", "", "fff.se"], ["Oct 9", "London Int. Festival of Science Fic... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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"], ["1.", "September 13, 2010", "Ecuador F2", "Hard", "Roberto Quiroz", "Peter Aarts\\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:... | Chile F2 | 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:... | Tamarind | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "China", "–", "–", "1", "1"], ["7", "Russia", "–", "1", "1", "2"], ["6", "Italy", "–", "2", "1", "3"], ["1", "Netherlands", "8", "3", "1", "12"], ["2", "Australia", "3", "3", "4", "10"], ["5", "Canada", "1", "–", "3", "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:... | Netherlands | Answer: | 128 |
Table InputTable: [["Num", "Pod Color", "Nickname", "Short Description", "Episode"], ["071", "Yellow", "Penny", "Seen in pod form in Stitch! The Movie. Pod says 71 instead of 071. Function unknown.", "Leroy & Stitch"], ["078", "White", "Snozzle", "Seen in pod form in Stitch! The Movie. Pod says 78 instead of 078. Funct... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Blue | Answer: | 128 |
Table InputTable: [["Name", "Owner", "Location", "Notes", "Transmission", "Website"], ["Radio 24", "Il Sole 24 Ore", "Milan", "Commercial; News/Talk", "FM, DAB, DVB-S", "http://www.radio24.it"], ["RadioRadio", "", "Rome", "Local; News/Talk", "DAB, DVB-S", "http://www.radioradio.it"], ["Radio Monte Carlo", "Gruppo Finel... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Aleksandr Pashutin\\n60.the actor", "Barracudas", "", "", "3rd Voted Out\\nDay 9", "7"], ["Kris Kelmi\\n47.the singer", "Barracudas", "", "", "2nd Voted Out\\nDay 6", "1"], ["Aleksandr Lykov\\n41.the actor"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Larisa Verbitskaya 43.the TV presenter | Answer: | 128 |
Table InputTable: [["Date", "Rnd", "Race Name", "Circuit", "City/Location", "Pole position", "Winning driver", "Winning team", "Report"], ["10", "August 5", "Marlboro 500", "Michigan International Speedway", "Brooklyn, Michigan", "Emerson Fittipaldi", "Al Unser, Jr.", "Galles-Kraco Racing", "Report"], ["9", "July 22", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | less | Answer: | 128 |
Table InputTable: [["Year", "Chassis", "Engine", "Start", "Finish", "Team"], ["2006", "Dallara", "Honda", "2", "25", "Team Penske"], ["2005", "Dallara", "Toyota", "5", "9", "Team Penske"], ["2007", "Dallara", "Honda", "1", "3", "Team Penske"], ["2009", "Dallara", "Honda", "1", "1", "Team Penske"], ["2008", "Dallara", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["Leafield", "Steamer", "Lake Superior", "", "all hands"], ["Plymouth", "Barge", "Lake Michigan", "", "7 lost"], ["Henry B. Smith", "Steamer", "Lake Superior", "", "all hands"], ["Lightship No. 82", "Lightship", "Lake Erie", "Point Albino ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lightship | Answer: | 128 |
Table InputTable: [["Hull", "Type", "Original Name", "Original Operator", "Delivery", "Disposition (2012)", "2nd name", "2nd operator", "3rd Name", "3rd operator"], ["№ 7", "929-117", "Unicorn", "Kyusyu Shosen Co. Ltd.", "Oct 1990", "Active", "Pegasus 2", "Kyusyu Shosen Co. Ltd.", "", ""], ["№ 2", "929-117", "Pegasus",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tane Yaku Jetfoils | Answer: | 128 |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 17", "at Arkansas", "#12", "Razorback Stadium • Fayetteville, AR", "ABC", "W 13–6", "52,089"], ["November 19", "#6 Auburn", "#4", "Legion Field • Birmingham, AL (Iron Bowl)", "ABC", "W 21–14", "83,091"], ["January 2, 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:... | 6 | Answer: | 128 |
Table InputTable: [["Competition", "Total spectatorship", "Average match attendance", "Year"], ["Super Rugby", "773,940", "19,348", "2012"], ["National Rugby League", "3,345,248", "16,643", "2013"], ["Rugby Championship", "133,532", "44,511", "2012"], ["Australian Football League", "6,931,085", "33,484", "2013"], ["Big... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Super Rugby | Answer: | 128 |
Table InputTable: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["11", "Dan Clarke", "Minardi Team USA", "69", "+38.903", "10", "11"], ["6", "Simon Pagenaud", "Team Australia", "69", "+22.698", "5", "19"], ["13", "Robert Doornbos", "Minardi Team USA", "69", "+1:00.638", "9", "8"], ["1", "Justin Wi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Paul Tracy | Answer: | 128 |
Table InputTable: [["Rank", "Player Name", "No. of Titles", "Runner-up", "Final Appearances"], ["9", "Thierry Lincou", "1", "1", "2"], ["12", "Rodney Martin", "1", "0", "1"], ["1", "Jansher Khan", "8", "1", "9"], ["17", "James Willstrop", "0", "1", "1"], ["3", "Geoff Hunt", "4", "1", "5"], ["8", "Peter Nicol", "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:... | Jansher Khan | Answer: | 128 |
Table InputTable: [["Rank", "Pair", "Country", "Athletes", "Time", "Deficit"], ["5", "1", "Norway", "Sverre Lunde Pedersen\\nHåvard Bøkko\\nKristian Reistad Fredriksen", "3:46.33", "+4.90"], ["6", "3", "Germany", "Patrick Beckert\\nMarco Weber\\nRobert Lehmann", "3:46.48", "+5.05"], ["", "3", "Netherlands", "Sven Krame... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Canada | Answer: | 128 |
Table InputTable: [["Date", "Venue", "Opponent", "Result", "Scoreline", "China scorers"], ["Dec 17", "Muscat", "Oman", "Lost", "1-3", "Qu Bo 58'"], ["Dec 19", "Muscat", "Iran", "Lost", "0-2", ""], ["March 15", "Kunming", "Thailand", "Drawn", "3-3", "Qu Bo 34'\\nHan Peng 67'\\nZhu Ting 90'"], ["April 23", "Los Angeles",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | Answer: | 128 |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["12", "Sebastian Porto", "Yamaha", "+27.054", "4"], ["11", "Alex Hofmann", "TSR-Honda", "+26.933", "5"], ["Ret", "Roberto Rolfo", "Aprilia", "Retirement", ""], ["23", "Arno Visscher", "Aprilia", "+1:40.635", ""], ["2", "Valentino Rossi", "A... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alex Hofmann | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "Lusophony Games", "Macau", "1st", "800 m", "2:07.34"], ["2011", "All-Africa Games", "Maputo, Mozambique", "12th (h)", "800 m", "2:06.72"], ["2009", "Lusophony Games", "Lisbon, Portugal", "4th", "800 m", "2:07.48"], ["2007", "Al... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2003 | Answer: | 128 |
Table InputTable: [["Represents", "Contestant", "Age", "Height", "Hometown"], ["Darién", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Panamá Centro", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Panamá Oeste", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Chiriquí Occidente", "TBD", "TBD", "0.0 m (0 in)", "TBD"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Colón | Answer: | 128 |
Table InputTable: [["No. in\\nseries", "No. in\\nseason", "Title", "Directed by", "Written by", "Original air date", "Prod.\\ncode"], ["26", "25", "\"My Mother, The Spy\"", "Richard Benedict", "Howard Gast", "March 30, 1966", "125"], ["3", "1", "\"So Long, Patrick Henry\"", "Leo Penn", "Robert Culp", "September 15, 196... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Band", "Disc/Song", "Released", "Disc Description", "Disk Size", "Image"], ["Guns N' Roses", "Nightrain", "1989", "Shape of a suitcase", "7\"", ""], ["Guns N' Roses", "Paradise City", "1989", "Shape of a Colt \"Peacemaker\"", "7\"", ""], ["Guns N' Roses", "Sweet Child o' Mine", "1988", "Shape of 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:... | 1 year | Answer: | 128 |
Table InputTable: [["Stage", "Date", "Route", "Terrain", "Length", "Winner", "Race leader"], ["2", "1 July", "Caen – Dinan", "Plain stage", "212 km (132 mi)", "Max Bulla (AUT)", "Max Bulla (AUT)"], ["9", "8 July", "Pau – Luchon", "Stage with mountain(s)", "231 km (144 mi)", "Antonin Magne (FRA)", "Antonin Magne (FRA)"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 132 mi | Answer: | 128 |
Table InputTable: [["City", "County", "Population (2011)", "Population (2002)", "Altitude (m)", "Year status\\ngranted* or\\nfirst attested†"], ["Baia Mare", "Maramureș", "123,738", "137,976", "225", "1329†"], ["Baia Sprie", "Maramureș", "15,476", "15,735", "", ""], ["Bucharest", "-", "1,883,425", "1,926,334", "85", "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:... | Brașov | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["1999", "World Youth Championships", "Bydgoszcz, Poland", "12th", ""], ["2002", "World Junior Championships", "Kingston, Jamaica", "2nd", "63.91 m"], ["2009", "World Championships", "Berlin, Germany", "3rd", "74.79 m"], ["2001", "World Champions... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2012 | Answer: | 128 |
Table InputTable: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["12", "Katherine Legge", "Dale Coyne Racing", "69", "+44.860", "14", "9"], ["3", "Bruno Junqueira", "Dale Coyne Racing", "69", "+8.419", "11", "26"], ["1", "Justin Wilson", "RuSPORT", "69", "1:46:02.236", "2", "32"], ["9", "Graham Ra... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["1", "Corey Pavin", "United States", "72-69-71-68=280", "E", "350,000"], ["2", "Greg Norman", "Australia", "68-67-74-73=282", "+2", "207,000"], ["T10", "Frank... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Hand", "Auto", "Wind", "Athlete", "Nationality", "Birthdate", "Location", "Date"], ["", "10.95", "", "George McNeill", "United Kingdom", "19.02.1947", "Melbourne", "31.11.1987"], ["", "10.90", "", "Thaddeus Bell", "United States", "28.11.1942", "Raleigh", "01.05.1988"], ["", "10.87", "", "Eddie Har... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Karl Heinz Schröder | Answer: | 128 |
Table InputTable: [["Year", "Result", "Award", "Film"], ["2002", "Nominated", "ALMA Award Outstanding Actor in a Television Series", "Spin City"], ["2001", "Nominated", "ALMA Award Outstanding Actor in a Television Series", "Spin City"], ["2008", "Won", "ALMA Award Outstanding Actor in a Comedy Television Series", "Two... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Spin City | Answer: | 128 |
Table InputTable: [["Match Day", "Date", "Opponent", "H/A", "Score", "Aberdeen Scorer(s)", "Attendance"], ["28", "6 February", "Morton", "H", "2–0", "Brewster, Archibald", "2,000"], ["4", "5 September", "Clyde", "H", "2–0", "MacLachlan, Archibald", "6,000"], ["2", "22 August", "Rangers", "H", "0–2", "", "15,000"], ["34... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Sl no", "Name of the prabandham", "Starting from", "Ending with", "Number of pasurams", "Sung by"], ["", "Total number of pasurams", "", "", "3776", ""], ["23", "Thiruvay Mozhi", "2674", "3776", "1102", "Nammalvar"], ["20", "Thiruvezhukkurrirukkai", "2672", "2672", "1", "Thirumangai alvar"], ["15",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1102 | Answer: | 128 |
Table InputTable: [["Date", "Time", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 8", "3:00 PM", "at Oregon State*", "#13", "Reser Stadium • Corvallis, OR", "FX", "L 7–10", "42,189"], ["September 15", "7:00 PM", "Utah State*", "#22", "Camp Randall Stadium • Madison, WI", "BTN", "W 16–14", "79... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 (FCS) Northern Iowa* | Answer: | 128 |
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:... | 5 | Answer: | 128 |
Table InputTable: [["Thread\\nnominal size", "Outer diameter\\n[mm (in)]", "Threads per inch\\n(TPI)", "Pitch\\n[in (mm)]", "Inner diameter\\n[mm (in)]", "Cable diameter\\n[mm (in)]"], ["PG42", "54.0 (2.126)", "16", "0.0625 (1.5875)", "52.48 (2.066)", ""], ["PG7", "12.5 (0.492)", "20", "0.05 (1.270)", "11.28 (0.444)", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | no | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2007", "Universiade", "Bangkok, Thailand", "1st", "400 m", ""], ["2001", "World Youth Championships", "Debrecen, Hungary", "4th", "400 m", ""], ["2006", "World Cup", "Athens, Greece", "7th", "400 m", ""], ["2006", "Asian Games", "Doha,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["9", "Oct 23", "at Hamilton Tiger-Cats", "25–17", "Loss", "1–10"], ["6", "Oct 2", "at Hamilton Tiger-Cats", "45–0", "Loss", "1–6"], ["5", "Sept 25", "vs. Hamilton Tiger-Cats", "38–12", "Loss", "1–5"], ["10", "Oct 30", "vs. Hamilton Tiger-Cat... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Round", "Round", "Race", "Date", "Pole Position", "Fastest Lap", "Winning Club", "Winning Team", "Report"], ["2", "R2", "Nürburgring", "September 21", "", "SC Corinthians", "PSV Eindhoven", "Azerti Motorsport", "Report"], ["4", "R2", "Estoril", "October 19", "", "Borussia Dortmund", "Al Ain", "Azer... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Donington Park | Answer: | 128 |
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"], ["3", "John... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Date", "", "Rank", "Tournament name", "Venue", "City", "Winner", "Runner-up", "Score"], ["12–09", "12–15", "GER", "WR", "German Open", "NAAFI", "Osnabrück", "Ronnie O'Sullivan", "Alain Robidoux", "9–7"], ["05–??", "05–??", "WAL", "", "Pontins Professional", "Pontins", "Prestatyn", "Martin 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:... | 1 | Answer: | 128 |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2006", "Chengdu Wuniu", "China", "2", "1", "0"], ["2008", "Jiangsu Sainty", "China", "2", "24", "0"], ["2003", "Shandong Luneng", "China", "1", "4", "0"], ["2013", "Jiangsu Sainty", "China", "1", "11", "0"], ["2004", "Shandong Luneng", "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:... | 1 | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["2013", "4", "USL PDL", "4th, Heartland", "Did not qualify", "Did not qualify"], ["2007", "4", "USL PDL", "3rd, Heartland", "Did not qualify", "1st Round"], ["2008", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did no... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Rank", "Player", "County", "Tally", "Total", "Opposition"], ["6", "Gary Kirby", "Limerick", "0–9", "9", "Antrim"], ["3", "Gary Kirby", "Limerick", "0–10", "10", "Tipperary"], ["6", "Seán McLoughlin", "Westmeath", "1–6", "9", "Carlow"], ["6", "David Martin", "Meath", "1–6", "9", "Offaly"], ["3", "Ga... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Francis Forde | Answer: | 128 |
Table InputTable: [["Golfer", "Country", "Wins", "Match Play", "Championship", "Invitational", "Champions"], ["Ernie Els", "South Africa", "2", "—", "2: 2004, 2010", "—", "—"], ["Geoff Ogilvy", "Australia", "3", "2: 2006, 2009", "1: 2008", "—", "—"], ["Phil Mickelson", "United States", "2", "—", "1: 2009", "—", "1: 200... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | Answer: | 128 |
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:... | 22 | Answer: | 128 |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["October 22", "Ole Miss", "#8", "Bryant–Denny Stadium • Tuscaloosa, AL (Rivalry)", "ABC", "W 21–10", "70,123"], ["October 8", "Southern Miss*", "#11", "Bryant–Denny Stadium • Tuscaloosa, AL", "", "W 14–6", "70,123"], ["October 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:... | 11 | Answer: | 128 |
Table InputTable: [["Client", "Years of Operation", "Area of Operation", "Country", "Services"], ["Lasmo", "1993-94", "Wadi Borjuj", "Libya", "Drilling, workover"], ["Agoco", "1991-current", "Sarir field", "Libya", "Drilling, workover"], ["Total", "1999-current", "El Mabrouk", "Libya", "Drilling"], ["Waha", "1994", "El... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Libya | Answer: | 128 |
Table InputTable: [["Team", "City", "Years active", "Seasons played", "Win–loss record", "Win%", "Playoffs appearances"], ["Chicago Stags", "Chicago, Illinois", "1946–1950", "4", "145–92", ".612", "4"], ["Baltimore Bullets*", "Baltimore, Maryland", "1947–1954", "8", "158–292", ".351", "3"], ["Indianapolis Jets", "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:... | 12 | Answer: | 128 |
Table InputTable: [["Binary", "Octal", "Decimal", "Hexadecimal", "Glyph"], ["0011 0111", "067", "55", "37", "7"], ["0011 0100", "064", "52", "34", "4"], ["0011 0010", "062", "50", "32", "2"], ["0011 0110", "066", "54", "36", "6"], ["0011 0101", "065", "53", "35", "5"], ["0011 0011", "063", "51", "33", "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:... | 070 | Answer: | 128 |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["165", "Sean Whyte", "Right Wing", "Canada", "Los Angeles Kings", "Guelph Platers (OHL)"], ["157", "Raymond Saumier", "Right Wing", "Canada", "Hartford Whalers", "Trois Rivieres Draveurs (QMJHL)"], ["152", "Serg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Sport", "Event", "Placing", "Performance"], ["Mark Slavin", "Wrestling", "Greco-Roman — Middleweight <82 kg", "—", "(taken hostage before his scheduled event)"], ["Itzhak Nir", "Sailing", "Flying Dutchman", "23", "28-22-22-19-25-19-DNS = 171 pts\\n(left Kiel before 7th race)"], ["Gad Tsobar... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | no | Answer: | 128 |
Table InputTable: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["1996", "130", "", "", ""], ["1995", "139", "", "", ""], ["1997", "141", "", "", ""], ["2009", "no data", "12", "no data", ""], ["1998", "153", "14", "", ""], ["1994", "154"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 202 (estimate) | Answer: | 128 |
Table InputTable: [["Num", "Pod Color", "Nickname", "Short Description", "Episode"], ["090", "", "Fetchit", "This experiment was activated when Mrs. Hasagawa's cats were. Function unknown.", "220"], ["014", "White", "Kernel", "A tan gourd-shaped experiment with a large opening at the top of his head. Designed to pop po... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 99 | Answer: | 128 |
Table InputTable: [["Type", "Construction period", "Cylinder", "Capacity", "Power", "Vmax"], ["C2 (10/28 PS)", "1913–1914", "straight-4", "2.412 cc", "28 PS (20,6 kW)", "75 km/h (47 mph)"], ["V 5 Sport", "1931–1932", "V4", "1.168 cc", "30 PS (22 kW)", "100 km/h (62 mph)"], ["V 5", "1931–1932", "V4", "1.168 cc", "25 PS ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 75 km/h (47 mph) | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["5", "October 4, 1981", "Cincinnati Bengals", "W 17–10", "44,350"], ["9", "November 1, 1981", "at Cincinnati Bengals", "L 34–21", "54,736"], ["8", "October 26, 1981", "at Pittsburgh Steelers", "L 26–13", "52,732"], ["16", "December 20, 1981", "Pi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Pair", "Name", "Country", "Time", "Time behind"], ["4", "20", "Lee Kyou-hyuk", "South Korea", "1:09.37", "+0.48"], ["", "21", "Erben Wennemars", "Netherlands", "1:09.32", "+0.43"], ["24", "17", "Mun Jun", "South Korea", "1:10.66", "+1.77"], ["–", "2", "Ermanno Ioriatti", "Italy", "DQ", "–"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | United States | Answer: | 128 |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["6", "South Korea", "$1.47 billion", "2013", "59.7% (2013)"], ["3", "Japan", "$1.88 billion", "2013", "61% (2013)"], ["5", "France", "$1.7 billion", "2012", "33.3% (2013)"], ["7", "India", "$1.4 billion", "2012", "–"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
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