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: [["Rank", "Name", "Nationality", "Time"], ["8", "Edith Arraspide", "Argentina", "5:13.95"], ["", "Joanne Malar", "Canada", "4:43.64"], ["7", "Carolyn Adel", "Suriname", "5:13.24"], ["5", "Fabíola Molina", "Brazil", "5:03.43"], ["", "Jenny Kurth", "United States", "4:57.24"], ["", "Alison Fealey", "Uni... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Argentina | Answer: | 128 |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["2", "September 13, 1998", "FOX 1:15 pm MT", "at Seattle Seahawks", "L 33–14", "57,678"], ["1", "September 6, 1998", "FOX 1:05 pm MT", "at Dallas Cowboys", "L 38–10", "63,602"], ["13", "November 29, 1998", "FOX 11:00 am MT", "at Kansas... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dallas Cowboys | Answer: | 128 |
Table InputTable: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["4", "Parc des Princes", "48,712", "Paris", "Île-de-France", "Paris Saint-Germain FC", "1897"], ["27", "Stade Sébastien Charléty", "20,000", "Paris", "Île-de-France", "Paris FC", "1938"], ["1", "Stade de France", "81,338", "Paris... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 150050 | 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"], ["11", "15 Apr 2012", "Token Homemate Cup",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Asia-Pacific Panasonic Open (co-sanctioned by the Asian Tour) | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Switzerland (SUI)", "0", "2", "1", "3"], ["7", "Great Britain (GBR)", "0", "0", "1", "1"], ["3", "Germany (EUA)", "1", "0", "1", "2"], ["2", "Italy (ITA)", "1", "1", "1", "3"], ["1", "Australia (AUS)", "2", "1", "0", "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:... | United States (USA) | Answer: | 128 |
Table InputTable: [["Match no.", "Match Type", "Team Europe", "Score", "Team USA", "Progressive Total"], ["30", "Baker", "Team Europe", "202 - 203", "Team USA", "15 - 15"], ["31", "Singles", "Tore Torgersen", "202 - 264", "Chris Barnes", "15 - 16"], ["32", "Singles", "Osku Palermaa", "196 - 235", "Tommy Jones", "15 - 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 | Answer: | 128 |
Table InputTable: [["Fence", "Name", "Jockey", "Age", "Handicap (st-lb)", "Starting price", "Fate"], ["22", "Kapeno", "David Dick", "8", "11-6", "100/8", "Fell"], ["26", "Rondetto", "Jeff King", "9", "11-6", "100/8", "Fell"], ["06", "Nedsmar", "John Hudson", "11", "10-13", "100/1", "Fell"], ["18", "Leedsy", "George Rob... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Episode", "Air date", "Rating", "Share", "18-49 (Rating/Share)", "Viewers (m)", "Rank (night)", "Rank (timeslot)", "Rank (overall)"], ["3", "\"Blind Dates and Bleeding Hearts\"", "October 26, 2007", "6.1", "11", "1.9/6", "8.90", "#1", "#1", "#41"], ["7", "\"The Past Comes Back to Haunt You\"",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "FBI Guy" | Answer: | 128 |
Table InputTable: [["School", "2007", "2008", "2009", "2010", "2011"], ["Oscar De La Hoya Animo Charter High School", "662", "726", "709", "710", "744"], ["Francisco Bravo Medical Magnet High School", "807", "818", "815", "820", "832"], ["Santee Education Complex", "", "502", "521", "552", "565"], ["James A. Garfield H... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 710.2 | Answer: | 128 |
Table InputTable: [["Year", "Class", "No", "Tyres", "Car", "Team", "Co-Drivers", "Laps", "Pos.", "Class\\nPos."], ["1978", "S\\n+2.0", "10", "", "Mirage M9\\nRenault 2.0L Turbo V6", "Grand Touring Cars Inc.", "Vern Schuppan\\n Sam Posey", "293", "10th", "5th"], ["1993", "GT", "71", "D", "Venturi 500LM\\nRenault PRV 3.0... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2061 | Answer: | 128 |
Table InputTable: [["#", "Weekend End Date", "Film", "Box Office"], ["17", "April 26, 1998", "U.S. Marshals", "£780,012"], ["15", "April 12, 1998", "Titanic", "£1,373,363"], ["7", "February 15, 1998", "Titanic", "£3,849,120"], ["9", "March 1, 1998", "Titanic", "£3,403,199"], ["11", "March 15, 1998", "Titanic", "£2,469,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | U.S. Marshals | Answer: | 128 |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Lanny Poffo", "1", "May 10, 1978", "San Francisco, California", "Defeated Joe Banek to become the first champion"], ["Randy Savage", "1", "March 13, 1979", "Halifax, Nova Scotia", ""], ["Randy Savage", "2", "1981", "Unknown", ""], ["Randy Savag... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lanny Poffo | Answer: | 128 |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["11", "November 15, 1998", "FOX 2:15 pm MT", "Dallas Cowboys", "L 35–28", "71,670"], ["1", "September 6, 1998", "FOX 1:05 pm MT", "at Dallas Cowboys", "L 38–10", "63,602"], ["13", "November 29, 1998", "FOX 11:00 am MT", "at Kansas City... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | at Washington Redskins | Answer: | 128 |
Table InputTable: [["Year", "Title", "Rol", "Format", "Related Links"], ["2008", "Me Mueves 1° Temporada", "Arturo", "Serie", "https://www.youtube.com/watch?v=lj2Q6rrOK1k"], ["2009", "Me Mueves 2° Temporada", "Arturo", "Serie", "https://www.youtube.com/watch?v=fNE5WHZ_tt8&feature=related"], ["1997–2001", "Bizbirije", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Telenovela, Serie, Short Film, Feature Film, Capsulas | Answer: | 128 |
Table InputTable: [["No. in\\nseason", "No. in\\nseries", "Title", "Canadian airdate", "US airdate", "Production code"], ["18", "335", "\"Better Man\"", "February 4, 2014", "February 4, 2014", "1318"], ["30", "347", "\"Sparks Will Fly\" Part Two", "April 22, 2014", "April 22, 2014", "1330"], ["13", "330", "\"Who Do You... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Dig Me Out" | Answer: | 128 |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["157", "Petri Skriko", "Right Wing", "Finland", "Vancouver Canucks", "Saipa (Finland)"], ["149", "Rick Zombo", "Defence", "United States", "Detroit Red Wings", "Austin Mavericks (USHL)"], ["162", "Dale DeGray", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Andre Cote | Answer: | 128 |
Table InputTable: [["Name", "Nationality", "From", "To", "Honours", "Comments"], ["René Heitmann", "Denmark", "17 July 2010", "27 July 2010", "", "Never coached the team in a match"], ["John 'Tune' Kristiansen", "Denmark", "18 June 2012", "23 June 2012", "", "Caretaker for one league match"], ["Johnny Petersen", "Denma... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 days | Answer: | 128 |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["October 24", "Minnesota", "#6", "Kinnick Stadium • Iowa City, IA (Floyd of Rosedale)", "ABC", "L 10-12", "60,000"], ["September 12", "#7 Nebraska*", "", "Kinnick Stadium • Iowa City, IA", "", "W 10-7", "60,160"], ["November 7", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Michigan | Answer: | 128 |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2007/08", "Dnipro Dnipropetrovsk", "Ukraine", "1", "24", "0"], ["2008/09", "Dnipro Dnipropetrovsk", "Ukraine", "1", "22", "1"], ["2006/07", "Dnipro Dnipropetrovsk", "Ukraine", "1", "12", "0"], ["2010/11", "Dnipro Dnipropetrovsk", "Ukraine"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Shooter", "5 pts", "4 pts", "3 pts", "2 pts", "1 pts", "0 pts", "Total", "Rank"], ["3", "Dennis Fenton", "1", "2", "5", "2", "-", "-", "32", "16"], ["4", "John O'Leary", "1", "2", "6", "-", "-", "1", "31", "19"], ["4", "John Faunthorpe", "-", "5", "4", "-", "-", "1", "32", "16"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Year", "Song", "Album", "Position", "Chart"], ["1989", "\"Sunshine\"", "24/7", "23", "Billboard Hot 100"], ["1991", "\"Gentle\"", "Swingin'", "31", "Billboard Hot 100"], ["1989", "\"I Like It\"", "24/7", "7", "Billboard Hot 100"], ["1993", "\"Ooh Child\"", "The Way I Am", "27", "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:... | below | Answer: | 128 |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["Ostankino Tower", "Russia", "Moscow", "540 / 1,772", "Tower", "1967–1976", ""], ["Eiffel Tower", "France", "Paris", "300.6 / 986", "Tower", "1889–1930", "Currently stands at a height of 324 metres (1,063... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | France | Answer: | 128 |
Table InputTable: [["#", "Title", "Time", "Lyrics", "Music", "Producer(s)", "Performer(s)"], ["12", "\"Red Mist\"", "3:54", "Boondox", "Mike E. Clark", "Boondox", "Boondox\\nBlaze Ya Dead Homie\\nTwiztid"], ["8", "\"Rollin Hard\"", "4:07", "Boondox", "Mike E. Clark", "Boondox", "Boondox"], ["3", "\"Out Here\"", "3:18",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lake of Fire | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["11", "Kyrgyzstan (KGZ)", "1", "1", "0", "2"], ["8", "Sri Lanka (SRI)", "2", "0", "2", "4"], ["5", "South Korea (KOR)", "3", "2", "1", "6"], ["12", "Kuwait (KUW)", "1", "0", "0", "1"], ["9", "Qatar (QAT)", "1", "4", "3", "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:... | 10 | Answer: | 128 |
Table InputTable: [["Value", "Diameter", "Composition", "1975–1979\\nObverse", "1975–1979\\nReverse", "1981-\\nObverse", "1981-\\nReverse"], ["10 seniti", "24 mm", "Cupronickel", "King", "Grazing cattle", "King", "Bananas on tree"], ["50 seniti", "32–33 mm", "Cupronickel", "King", "Fishes around a vortex", "King", "Tom... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 80 seniti | Answer: | 128 |
Table InputTable: [["Year", "Team Record\\nW", "Team Record\\nL", "Playoffs"], ["2009", "5", "5", "Did Not Make Playoffs"], ["2005", "3", "5", "Did Not Make Playoffs"], ["2010", "5", "5", "Did Not Make Playoffs"], ["2003", "8", "1", "2nd Qualifier, Region 2"], ["2004", "7", "2", "2nd Qualifier, Region 2"], ["2001", "7"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "1.", "25 October 2009", "Kremlin Cup, Russia", "Hard (i)", "Mikhail Youzhny", "7–6(7–5), 0–6, 4–6"], ["Winner", "2.", "23 October 2011", "Kremlin Cup, Russia", "Hard (i)", "Viktor Troicki", "6–4, 6–2"], ["Runner-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["North Dakota", "Heidi Heitkamp", "Democratic", "Heidi Heitkamp (D) 50.2%\\nRick Berg (R) 49.3%", "2012", "[Data unkn... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | male | Answer: | 128 |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["1989", "Real Zaragoza", "Club de Fútbol Atlante", "Aragon", "-"], ["2001", "Real Zaragoza", "FC Twente", "-", "-"], ["1988", "Club Atlético Peñarol", "Real Zaragoza", "-", "-"], ["1995", "Real Zaragoza", "Club Nacional de Football", "-", "-"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1974 | Answer: | 128 |
Table InputTable: [["Season", "Episodes", "Season Premiere", "Season Finale"], ["5", "40", "October 12, 2009", "June 14, 2010"], ["3", "44", "October 15, 2007", "June 2, 2008"], ["4", "48", "October 13, 2008", "May 11, 2009"], ["2", "52", "October 7, 2006", "July 16, 2007"], ["7", "8", "October 29, 2013", "December 17,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Rank", "Island", "Area\\n(km²)", "Area\\n(sq mi)", "Country/Countries/Region"], ["230", "Austra", "88", "34", "Norway"], ["213", "Santa Maria Island", "97", "37", "Portugal"], ["273", "Graciosa Island", "62", "24", "Portugal"], ["288", "Inner-Vikna (inner island of Vikna archipelago)", "55", "21", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Holsnøy | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Winner", "1.", "May 17, 1993", "Coral Springs, Florida, USA", "Clay", "David Wheaton", "6–3, 6–4"], ["Runner-up", "6.", "May 2, 1994", "Atlanta, Georgia, USA", "Clay", "Michael Chang", "7–6(7–4), 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:... | Amos Mansdorf | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "11.", "14 April 2013", "Grand Prix Hassan II, Casablanca, Morocco", "Clay", "Kevin Anderson", "7–6(8–6), 4–6, 6–3"], ["Winner", "2.", "2 May 2004", "Torneo Godó, Barcelona, Spain", "Clay", "Gastón Gaudio", "6–3, 4–6... | 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:... | Juan Monaco | Answer: | 128 |
Table InputTable: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Ikar", "1995–1997", "2", "Pierre Makyo", "Glénat", ""], ["Shelena", "2005", "1", "Jéromine Pasteur", "Casterman", ""], ["Jacques Le Gall", "1984–1985", "2", "Jean-Michel Charlier", "Dupuis", "A collaboration with MiTacq"], ["Daddy", "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:... | Glénat | Answer: | 128 |
Table InputTable: [["Number", "Name", "Service", "From", "To"], ["(Acting)", "Maj Gen Winston P. Wilson", "USAF", "June 1, 1959", "July 19, 1959"], ["13", "MG Kenneth F. Cramer", "USA", "September 30, 1947", "September 4, 1950"], ["15", "MG Edgar C. Erickson", "USA", "June 22, 1953", "May 31, 1959"], ["16", "MG Donald ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Maj Gen Winston P. Wilson | Answer: | 128 |
Table InputTable: [["Tablet", "Genealogy", "Narrative", "Colophon"], ["10", "Descendants of Esau 36:2 - 5", "36:6 - 8", "\"This is the account of Esau.\" 36:9"], ["5", "Descendants of Shem, Ham, and Japeth 10:1 - 32", "11:1 - 9", "\"This is the account of Shem.\" 11:10"], ["9", "Abraham to Isaac 25:19", "25:20 to 35:29... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Esau | Answer: | 128 |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2012", "Soompi Gayo Awards", "Top 50 Songs (#3)", "\"Heaven\"", "Won"], ["2012", "So-Loved Awards", "Best Female Newcomer", "Herself", "Won"], ["2012", "Cyworld Digital Music Awards", "Rookie & Song of the Month (February)", "\"Heaven\"", "Won"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Competition", "Venue", "Position", "Event"], ["2003", "World Athletics Final", "Monaco", "6th", "100 m hurdles"], ["1997", "World Indoor Championships", "Paris, France", "5th", "60 m hurdles"], ["1999", "World Indoor Championships", "Maebashi, Japan", "6th", "60 m hurdles"], ["2000", "Olymp... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | World Indoor Championships | Answer: | 128 |
Table InputTable: [["Location", "Reactor type", "Status", "Net\\nCapacity\\n(MWe)", "Gross\\nCapacity\\n(MWe)"], ["Chernobyl-2", "RBMK-1000", "shut down in 1991", "925", "1,000"], ["Chernobyl-1", "RBMK-1000", "shut down in 1996", "740", "800"], ["Chernobyl-3", "RBMK-1000", "shut down in 2000", "925", "1,000"]] | 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:... | 185 | Answer: | 128 |
Table InputTable: [["Rank", "City", "Passengers", "Ranking", "Airline"], ["1", "Quintana Roo, Cancún", "132,046", "", "Aeroméxico Connect, Interjet, Volaris"], ["3", "Guerrero, Acapulco", "56,069", "", "Aeroméxico Connect, Interjet"], ["8", "Baja California, Tijuana", "14,906", "", "Interjet"], ["7", "Guerrero, Ixtapa/... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 132,046 | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Nationality", "Time", "Notes", "Points"], ["4", "Mario Scapini", "Italy", "1:47.20", "PB", "9"], ["12", "Milan Kocourek", "Czech Republic", "1:59.28", "", "1"], ["2", "Jeff Lastennet", "France", "1:46.70", "", "11"], ["11", "António Rodrigues", "Portugal", "1:50.45", "", "2"], ["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:... | France | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["13", "19", "Joël Camathias", "Dale Coyne Racing", "85", "+ 2 Laps", "18", "0"], ["14", "33", "Alex Tagliani", "Rocketsports Racing", "85", "+ 2 Laps", "14", "0"], ["2", "1", "Bruno Junqueira", "Newman/Haas Racing", "87", "+0... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | Answer: | 128 |
Table InputTable: [["Series", "Name", "Age", "Hometown", "Occupation", "Status"], ["UBB", "Nikki Grahame", "28", "London", "Participated in BB7", "2nd - Runner-up"], ["BB8", "Amanda Marchant", "18", "Stoke-on-Trent", "Student", "2nd - Runner-up"], ["BBP", "Jade Goody", "23", "London", "Participated in BB3", "Not compet... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Film", "Film", "Date"], ["Kodachrome 40 film", "Sound Movie film, S-8, Type A", "1974–1998"], ["Kodachrome 40 film", "Movie film, 16 mm, Type A", "1974–2006"], ["Kodachrome 40 film", "Movie film, 8 mm, Type A", "1974–1992"], ["Kodachrome 25 film", "Movie film, 8 mm, daylight", "1974–1992"], ["Kodac... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kodachrome 40 film | 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:... | November 5 | Answer: | 128 |
Table InputTable: [["Team", "Chassis", "Engine", "Tires", "No", "Drivers"], ["All American Racing", "Reynard 98i\\nEagle 987", "Toyota", "Goodyear", "98", "P. J. Jones\\n Vincenzo Sospiri"], ["Newman-Haas Racing", "Swift 009.c", "Ford XB", "Goodyear", "6", "Michael Andretti"], ["Newman-Haas Racing", "Swift 009.c", "For... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["School", "2007", "2008", "2009", "2010", "2011"], ["James A. Garfield High School", "553", "597", "593", "632", "705"], ["Thomas Jefferson High School", "457", "516", "514", "546", "546"], ["Abraham Lincoln High School", "594", "609", "588", "616", "643"], ["Marc and Eva Stern Math and Science Scho... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 152 | Answer: | 128 |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["Tennessee", "Bob Corker", "Republican", "Bob Corker (R) 64.9%\\nMark E. Clayton (D) 30.4%\\nMartin Pleasant (G) 1.7%... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 20 | Answer: | 128 |
Table InputTable: [["Date", "Competition", "Location", "Country", "Event", "Placing", "Rider", "Nationality"], ["1 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "500 m time trial", "1", "Victoria Pendleton", "GBR"], ["1 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Sprint"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 November 2009 | Answer: | 128 |
Table InputTable: [["Goal", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["6", "2012-2-29", "Tsirion Stadium, Limassol, Cyprus", "Canada", "1-1", "1-3", "Friendly match"], ["7", "2012-2-29", "Tsirion Stadium, Limassol, Cyprus", "Canada", "1-2", "1-3", "Friendly match"], ["1", "2008-5-28", "Sheriff St... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Andorra | Answer: | 128 |
Table InputTable: [["Name", "Route number(s)", "Length (mi)", "Location", "Notes"], ["Henry E. Bodurtha Highway", "", "5.0", "Agawam", "Freeway comprises the eastern 5 miles (8.0 km) of Route 57, connecting Route 187 to U.S. Route 5 and I-91."], ["Grand Army of the Republic Highway", "*", "117.46", "Seekonk to Province... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5.0 | Answer: | 128 |
Table InputTable: [["Season", "Tier", "Division", "Place"], ["1989/90", "4", "3ª", "1st"], ["1997/98", "4", "3ª", "1st"], ["1998/99", "4", "3ª", "6th"], ["1988/89", "4", "3ª", "3rd"], ["1994/95", "3", "2ªB", "9th"], ["1991/92", "3", "2ªB", "12th"], ["1996/97", "4", "3ª", "2nd"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2", "Japan (JPN)", "46", "56", "77", "179"], ["6", "North Korea (PRK)", "6", "10", "20", "36"], ["1", "China (CHN)", "127", "63", "33", "223"], ["3", "South Korea (KOR)", "32", "48", "65", "145"], ["9", "Guam (GUM)", "0", "0", "1", "1"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Winner", "5.", "12 November 2012", "Zawada, Poland", "Carpet (i)", "Karolína Plíšková", "Kristina Barrois\\n Sandra Klemenschits", "6–3, 6–1"], ["Winner", "6.", "28 October 2013", "Barnstaple, United Kingdom", "Ha... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["9", "Uruguay", "0", "0", "1", "1"], ["1", "Brazil", "7", "5", "3", "15"], ["5", "Argentina", "1", "2", "5", "8"], ["9", "Netherlands Antilles", "0", "0", "1", "1"], ["7", "Ecuador", "0", "2", "2", "4"], ["9", "Panama", "0", "0", "1", "1"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Guyana | Answer: | 128 |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2012", "So-Loved Awards", "Best Female Newcomer", "Herself", "Won"], ["2012", "14th Mnet Asian Music Awards", "Best New Female Artist", "Herself", "Won"], ["2012", "4th MelOn Music Awards", "Best New Artist", "Herself", "Won"], ["2012", "Asia So... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Country", "Amphibians", "Birds", "Mammals", "Reptile", "Total terrestrial vertebrates", "Vascular plants", "Biodiversity"], ["Costa Rica", "183", "838", "232", "258", "1511", "12119", "13630"], ["Guatemala", "133", "684", "193", "236", "1246", "8681", "9927"], ["Belize", "46", "544", "147", "140", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Panama | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["9", "Germany", "1", "0", "1", "2"], ["2", "Austria", "4", "3", "4", "11"], ["4", "Switzerland", "3", "2", "1", "6"], ["7", "Norway", "2", "1", "1", "4"], ["8", "Italy", "1", "2", "0", "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:... | Soviet Union | Answer: | 128 |
Table InputTable: [["Year", "Total\\npassengers", "Passenger\\nChange", "Domestic", "International\\n(total)", "International\\n(non-CIS)", "CIS", "Aircraft\\nLandings", "Cargo\\n(tonnes)"], ["2004", "1 553 628", "+16,3%", "972 287", "581 341", "429 049", "152 292", "11 816", "20 457"], ["2012", "3 783 069", "+12.7%", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2004 | Answer: | 128 |
Table InputTable: [["Town name", "County", "Established", "Disestablished", "Current Status", "Remarks"], ["Tontzville", "Miami County", "1866", "1874", "Nothing remains of the townsite.", ""], ["Thurman", "Chase County", "1874", "1944", "Little remains of the townsite.", ""], ["Salem", "Jewell County", "1871", "", "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:... | 3 | Answer: | 128 |
Table InputTable: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["UGCA 86", "Im", "03h 59m 50.5s", "+67° 08′ 37″", "67 ± 4", "13.5"], ["Camelopardalis A", "Irr", "04h 26m 16.3s", "+72° 48′ 21″", "-46 ± 1", "14.8"], ["Camelopardalis B", "Irr", "04h 53m 07.1s", "+67° 05′ 57″"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Direct War Losses", "360,000", "", "", "", "", "183,000", "543,000"], ["Total", "504,000", "352,000", "407,000", "541,000", "681,000", "270,000", "2,770,000"], ["Deaths other countries", "", "", "", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Deaths other countries | Answer: | 128 |
Table InputTable: [["Boat", "Time", "Crew", "Nation", "Date", "Meet", "Location"], ["LM2x\\nLightweight double sculls", "6:10.02", "Mads Rasmussen\\nRasmus Quist", "Denmark", "2007", "", "Amsterdam, Netherlands"], ["LM4x\\nLightweight quad sculls", "5:45.18", "Francesco Esposito\\nMassimo Lana\\nMichelangelo Crispi\\nM... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6:10.02 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1987", "World Championships", "Rome, Italy", "13th", "Marathon", "2:17:45"], ["1990", "European Championships", "Split, FR Yugoslavia", "4th", "Marathon", "2:17:45"], ["1992", "Olympic Games", "Barcelona, Spain", "5th", "Marathon", "2:... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["County", "Brown", "Votes", "Nixon", "Votes", "Wyckoff", "Votes"], ["Lassen", "62.50%", "3,500", "35.14%", "1,968", "2.36%", "132"], ["Kings", "59.03%", "9,141", "39.48%", "6,113", "1.49%", "231"], ["Sutter", "41.19%", "4,816", "57.59%", "6,734", "1.21%", "142"], ["Placer", "59.98%", "13,592", "38.2... | 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:... | Alpine | Answer: | 128 |
Table InputTable: [["Date", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["October 31, 2002", "Colorado Springs", "Colorado State", "31", "Air Force", "12", "AFA 23–17–1"], ["September 3, 1994", "Colorado Springs", "Colorado State", "34", "Air Force", "21", "AFA 20–12–1"], ["October ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 58-13 | Answer: | 128 |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-5", "28 May 1918", "28 September 1918", "19 November 1918", "Sold 11 June 1930"], ["PE-4", "21 May 1918", "15 September 1918", "14 November 1918", "Sold 11 June 1930"], ["PE-3", "16 May 1918", "11 September 1918", "11 November 191... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Year", "Award", "Nominated work", "Category", "Result"], ["2008", "Britain's Best", "Leona Lewis", "Music Award", "Won"], ["2007", "Cosmopolitan Ultimate Woman of the Year", "Leona Lewis", "Newcomer of the Year", "Won"], ["2008", "Glamour Woman Of The Year Awards", "Leona Lewis", "UK Solo Artist", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cosmopolitan Ultimate Woman of the Year | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Results\\nFinal score", "Results\\nTeam record", "Venue", "Attendance"], ["6", "October 23", "at Chicago Bears", "L 13–10", "2–4", "Soldier Field", "55,701"], ["1", "September 18", "Washington Redskins", "L 24–21", "0–1", "Metropolitan Stadium", "47,900"], ["12", "Decemb... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | October 23 | 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"], ["", "10.26", "2.3", "Troy Douglas", "Netherlands", "30.11.1962", "Utrecht", "10.07.2004"], ["", "10.84", "1.8", "Erik Oostw... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Troy Douglas | Answer: | 128 |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["1", "Canada/United States", "$10.8 billion", "2012", "–"], ["10", "Australia", "$1.2 billion", "2012", "4.1% (2011)"], ["4", "United Kingdom", "$1.7 billion", "2012", "36.1% (2011)"], ["-", "World", "$34.7 billion", "201... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 billion | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1945/46", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1939/40", "N/A", "ASL", "2nd(t)", "No playoff", "Co-champion"], ["1935/36", "N/A", "ASL", "2nd", "No playoff", "?"], ["1947/48", "N/A", "ASL", "4th", "No playof... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1st | 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"], ["1927", "27", "27", "107.765", "22", "3", "200", "0", "Running"], ["1929", "23", "11", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["1", "15", "Kate Anderson (AUS)", "15:36.16 q", ""], ["1", "16", "Yelena Kopytova (RUS)", "15:37.19", "PB"], ["1", "2", "Paula Radcliffe (GBR)", "15:27.25 Q", ""], ["2", "10", "Lydia Cheromei (KEN)", "15:32.00 Q", ""], ["2", "3", "Fernanda Ribeiro (POR)",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kate Anderson | Answer: | 128 |
Table InputTable: [["Contestant", "Original\\nTribe", "First\\nSwitch", "Second\\nSwitch", "Merged\\nTribe", "Finish", "Ghost\\nIsland", "Total\\nVotes"], ["Milena Vitanović\\n21, Paraćin", "Ga 'dang", "", "", "", "4th Voted Out\\nDay 13", "4th Eliminated\\nDay 18", "8"], ["Branka Čudanov\\n28, Kikinda", "Ga 'dang", ""... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Srđan Dinčić | Answer: | 128 |
Table InputTable: [["Rank", "Player", "Nation", "Club", "Goals"], ["2", "Matthew Delicâte", "ENG", "Richmond Kickers", "10"], ["1", "Jhonny Arteaga", "COL", "FC New York", "13"], ["3", "José Angulo", "USA", "Harrisburg City Islanders", "9"], ["9", "Chris Banks", "USA", "Wilmington Hammerheads", "7"], ["9", "George Davi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chris Banks, Sallieu Bundu, George Davis IV, Sainey Touray | Answer: | 128 |
Table InputTable: [["District", "Representative", "Party", "Home Town, County", "Term of Service"], ["1st District", "Charles R. Blasdel", "Republican", "East Liverpool, Columbiana", ""], ["76th District", "Michael E. Gilb", "Republican", "Findlay, Hancock", ""], ["4th District", "John R. Willamowski", "Republican", "L... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Charles R. Blasdel | Answer: | 128 |
Table InputTable: [["Year", "Network", "Race caller", "Color commentator", "Reporters", "Trophy Presentation"], ["1959", "CBS", "Fred Capossela", "Bryan Field and Chris Schenkel", "", "Chris Schenkel"], ["1958", "CBS", "Fred Capossela", "Bryan Field", "", ""], ["1957", "CBS", "Fred Capossela", "Bryan Field", "", ""], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Season", "Tier", "Division", "Place"], ["1991/92", "3", "2ªB", "12th"], ["1996/97", "4", "3ª", "2nd"], ["1995/96", "3", "2ªB", "19th"], ["1992/93", "3", "2ªB", "4th"], ["1990/91", "3", "2ªB", "6th"], ["1993/94", "3", "2ªB", "15th"], ["1988/89", "4", "3ª", "3rd"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Total\\npassengers", "Passenger\\nChange", "Domestic", "International\\n(total)", "International\\n(non-CIS)", "CIS", "Aircraft\\nLandings", "Cargo\\n(tonnes)"], ["2007", "2 345 097", "+32,9%", "1 486 888", "858 209", "683 092", "175 117", "16 767", "16 965"], ["2004", "1 553 628", "+16,3%"... | 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:... | 2006 | Answer: | 128 |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["2006–2007", "Family Guy", "Esther", "Voice\\n3 episodes"], ["2004–2006", "Strong Medicine", "Dr. Kayla Thorton", "37 episodes"], ["1994–1999", "Sister, Sister", "Tamera Campbell", "119 episodes"], ["1999", "Detention", "Orangejella LaBelle", "13 episodes"], ["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:... | Sister, Sister | Answer: | 128 |
Table InputTable: [["Year", "Film", "Role", "Language", "Notes"], ["2013", "Bahaddoor", "Anjali", "Kannada", "Filming"], ["2013", "Kaddipudi", "Uma", "Kannada", ""], ["2013", "Dilwala", "Preethi", "Kannada", ""], ["2014", "Endendigu", "", "", "Filming"], ["2009", "Olave Jeevana Lekkachaara", "Rukmini", "Kannada", "Inno... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 14 | Answer: | 128 |
Table InputTable: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["13", "19", "Rama-Tut", "After coming back from vacation Reed tells Ben an interesting theory on attempting to restore him. They head to Dr. Doom’s deserted castle to use the time machine the doctor left behind. In 2000 B.C the four weaken during ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Month", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec", "Year"], ["Average low °C (°F)", "−17\\n(1)", "−18\\n(0)", "−19\\n(−2)", "−12\\n(10)", "−3\\n(27)", "2\\n(36)", "5\\n(41)", "4\\n(39)", "−1\\n(30)", "−7\\n(19)", "−11\\n(12)", "−14\\n(7)", "−7.6\\n(18.3)"]] | 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:... | 9 | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["19 November 2005", "Aston Villa", "Stadium of Light", "1–3", "39,707", "Whitehead (pen)"], ["29 October 2005", "Portsmouth", "Stadium of Light", "1–4", "34,926", "Whitehead (pen)"], ["7 May 2006", "Aston Villa", "Villa Park", "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:... | 0 | Answer: | 128 |
Table InputTable: [["Year", "Model", "Denomination", "Metal composition", "Dimensions"], ["1998", "80th anniversary of declaration of Independence, 1918–1998", "100 krooni", ".925 silver", "25 grams (0.88 oz)38 millimetres (1.5 in)"], ["1998", "80th anniversary of declaration of Independence, 1918–1998", "10 krooni", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | .900 silver | Answer: | 128 |
Table InputTable: [["Rank", "Mountain Peak", "Nation", "Province", "Elevation", "Prominence", "Isolation"], ["4", "Cerro las Minas PB", "Honduras", "Lempira", "2849 m\\n9,347 ft", "2069 m\\n6,788 ft", "130 km\\n81 mi"], ["14", "Montaña San Ildefonso PB", "Honduras", "Cortés", "2242 m\\n7,356 ft", "1702 m\\n5,584 ft", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Location", "Reactor type", "Status", "Net\\nCapacity\\n(MWe)", "Gross\\nCapacity\\n(MWe)"], ["Ignalina-3", "RBMK-1500", "construction cancelled in 1988", "1,380", "1,500"], ["Kostroma-2", "RBMK-1500", "construction cancelled in 1980s", "1,380", "1,500"], ["Kostroma-1", "RBMK-1500", "construction ca... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Event", "Class", "Gold", "Silver", "Bronze"], ["Super-G", "LW6/8\\ndetails", "Rolf Heinzmann\\nSwitzerland (SUI)", "Lionel Brun\\nFrance (FRA)", "Wolfgang Moosbrugger\\nAustria (AUT)"], ["Giant slalom", "LW6/8\\ndetails", "Rolf Heinzmann\\nSwitzerland (SUI)", "Lionel Brun\\nFrance (FRA)", "Frank Pf... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 14 | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Score", "Result", "Location"], ["March 7, 1964", "Michigan State", "13–4", "Win", "Coliseum, Ann Arbor, MI"], ["March 6, 1964", "Michigan State", "9–4", "Win", "East Lansing, MI"], ["Feb. 15, 1964", "Michigan State", "7–2", "Win", "Coliseum, Ann Arbor, MI"], ["March 12, 1964", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | March 21, 1964, Denver | Answer: | 128 |
Table InputTable: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Sadsbury Township", "1", "Crawford County", "", ""], ["Sadsbury Township", "1", "Chester County", "", ""], ["Sadsbury Township", "1", "Lancaster County", "", ""], ["Sadsburyville", "1", "Chester County"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Period", "Live births per year", "Deaths per year", "Natural change per year", "CBR1", "CDR1", "NC1", "TFR1", "IMR1"], ["1975-1980", "18 000", "8 000", "10 000", "45.8", "19.6", "26.2", "6.67", "133.2"], ["1980-1985", "20 000", "8 000", "12 000", "42.7", "17.1", "25.6", "6.39", "117.1"]] | 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:... | 8000 | Answer: | 128 |
Table InputTable: [["Year", "Model", "Denomination", "Metal composition", "Dimensions"], ["1992", "Re-establishment of Krooni currency", "10 krooni", ".925 silver", "25 grams (0.88 oz)38 millimetres (1.5 in)"], ["1998", "80th anniversary of declaration of Independence, 1918–1998", "100 krooni", ".925 silver", "25 grams... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1992 | Answer: | 128 |
Table InputTable: [["Rank", "Player", "County", "Tally", "Total", "Opposition"], ["9", "Francis Forde", "Galway", "1–5", "8", "New York"], ["1", "Francis Forde", "Galway", "2–8", "14", "Roscommon"], ["6", "Seán McLoughlin", "Westmeath", "1–6", "9", "Carlow"], ["9", "John Troy", "Offaly", "2–2", "8", "Laois"], ["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:... | Niall English | Answer: | 128 |
Table InputTable: [["Year", "Chassis", "Engine", "Start", "Finish", "Team"], ["2009", "Dallara", "Honda", "1", "1", "Team Penske"], ["2006", "Dallara", "Honda", "2", "25", "Team Penske"], ["2008", "Dallara", "Honda", "4", "4", "Team Penske"], ["2011", "Dallara", "Honda", "16", "17", "Team Penske"], ["2007", "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:... | 2009 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "Commonwealth Games", "Melbourne, Australia", "7th", "Shot put", "18.44 m"], ["2004", "African Championships", "Brazzaville, Republic of the Congo", "2nd", "Discus throw", "63.50 m"], ["2006", "Commonwealth Games", "Melbourne, 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:... | 8 years | Answer: | 128 |
Table InputTable: [["Year", "Title", "Genre", "Publisher", "Notes"], ["1909", "The ShortStop", "Baseball", "A. C. McClurg", ""], ["1920", "The Redheaded Outfield and other Baseball Stories", "Baseball", "Harper & Brothers", ""], ["1911", "The Young Pitcher", "Baseball", "Harper & Brothers", ""], ["1938", "Raiders of Sp... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1911 | Answer: | 128 |
Table InputTable: [["No. in\\nseason", "No. in\\nseries", "Title", "Canadian airdate", "US airdate", "Production code"], ["23–24", "340–341", "\"Unbelievable\"", "March 11, 2014", "March 11, 2014", "1323 & 1324"], ["29", "346", "\"Sparks Will Fly\" Part One", "April 15, 2014", "April 15, 2014", "1329"], ["12", "329", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 40 | Answer: | 128 |
Table InputTable: [["Round", "Round", "Race", "Date", "Pole Position", "Fastest Lap", "Winning Club", "Winning Team", "Report"], ["5", "R1", "Vallelunga", "November 2", "Liverpool F.C.", "Beijing Guoan", "Beijing Guoan", "Zakspeed", "Report"], ["6", "R2", "Jerez", "November 23", "", "Beijing Guoan", "Borussia Dortmund"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Conference", "Head Coach", "Total Wins", "Total Losses", "Total Ties", "Conference Wins", "Conference Losses", "Conference Ties", "Conference Standing", "Postseason Result"], ["2001", "Southern", "Ellis Johnson", "3", "7", "0", "2", "6", "0", "7", "—"], ["1992", "Southern", "Charlie Taaff... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Zernhelt | Answer: | 128 |
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