context stringlengths 362 1.72k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 |
|---|---|---|---|---|
Table InputTable: [["Place", "Player", "Country", "Score", "To par"], ["1", "Retief Goosen", "South Africa", "68-70-69=207", "–3"], ["T7", "K. J. Choi", "South Korea", "69-70-74=213", "+3"], ["T7", "Lee Westwood", "England", "68-72-73=213", "+3"], ["T7", "Tiger Woods", "United States", "70-71-72=213", "+3"], ["T7", "Pe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["District", "Location", "Communities served"], ["Hawken School", "Gates Mills, Ohio", "College preparatory day school: online application, site visit and testing"], ["Solon/Bainbridge Montessori School of Languages", "Bainbridge Township, Ohio", "nonsectarian Montessori School: quarterly enrollment ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Agape Christian Academy | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1996", "Olympic Games", "Atlanta, United States", "20th", "Marathon", "2:17:27"], ["1992", "Olympic Games", "Barcelona, Spain", "5th", "Marathon", "2:14:15"], ["1987", "World Championships", "Rome, Italy", "13th", "Marathon", "2:17:45"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Venice, Italy | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["2007", "4", "USL PDL", "3rd, Heartland", "Did not qualify", "1st Round"], ["2012", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did not qualify"], ["2009", "4", "USL PDL", "6th, 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:... | 2 | Answer: | 128 |
Table InputTable: [["Town name", "County", "Established", "Disestablished", "Current Status", "Remarks"], ["Padonia", "Brown County", "1850s", "Post office closed in 1933", "Padonia lies among a cluster of houses and farm fields.", "Padonia was the site of a bloodless skirmish in the 1850s called the Battle of Padonia.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Class", "Moto", "Races", "Win", "Podiums", "Pole", "Pts", "Position"], ["2008", "125cc", "Aprilia", "17", "1", "5", "0", "176", "5th"], ["2004", "125cc", "Aprilia", "1", "0", "0", "0", "0", "NC"], ["2009", "125cc", "Aprilia", "16", "1", "4", "0", "179.5", "3rd"], ["2011", "125cc", "Aprili... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Aprilia | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2000", "World Junior Championships", "Santiago, Chile", "1st", "400 m hurdles", "49.23"], ["2003", "European U23 Championships", "Bydgoszcz, Poland", "1st", "400 m hurdles", "48.45"], ["2004", "Olympic Games", "Athens, Greece", "6th", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Recipient", "Nationality", "Profession", "Speech"], ["1998", "Herman Wouk", "United States", "Professional writer and 1952 Pulitzer Prize winner", ""], ["1997", "Elie Wiesel", "United States", "Professional writer\\nWinner of the Nobel Peace Prize (1986)", ""], ["2005", "William Safire", "U... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 46 | Answer: | 128 |
Table InputTable: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Ivan Zourine", "1979", "2", "Jacques Stoquart", "Magic-Strip", ""], ["Edmund Bell", "1987–1990", "4", "Jacques Stoquart and Martin Lodewijk", "Cl. Lefrancq", "Based on the stories by John Flanders (Jean Ray)"], ["Shelena", "2005", "1", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["1989", "Real Zaragoza", "Club de Fútbol Atlante", "Aragon", "-"], ["1992", "Real Zaragoza", "Fútbol Club Barcelona", "-", "-"], ["1998", "Parma", "Real Zaragoza", "-", "-"], ["2004", "Club Atlético de Madrid", "Real Zaragoza", "-", "-"], ["1985"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Real Zaragoza | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Winner", "6.", "28 October 2013", "Barnstaple, United Kingdom", "Hard (i)", "Naomi Broady", "Raluca Olaru\\n Tamira Paszek", "6–3, 3–6, [10–5]"], ["Winner", "3.", "23 January 2012", "Andrézieux-Bouthéon, France", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | Answer: | 128 |
Table InputTable: [["Year", "Winner", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Win $"], ["1992", "November Snow", "Chris Antley", "H. Allen Jerkens", "Earle I. Mack", "1", "1:35.91", "$66,480"], ["2003", "Indy Five Hundred", "Pat Day", "Robert Barbara", "Georgica Stable", "1-1/8", "1:48.44", "$150,0... | 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:... | 1979 | Answer: | 128 |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["2007/08", "KSV Roeselare", "Jupiler League", "25", "0"], ["2002/03", "RAEC Mons", "Jupiler League", "19", "0"], ["2006/07", "KSV Roeselare", "Jupiler League", "29", "1"], ["2010/11", "Kor... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Region", "Physician (GP & specialist)", "Physician : Population Ratio", "Health Officer", "HO : Population Ratio", "All Nurses", "Nurse : Population Ratio", "Mid-wives", "Mid Wife: Population Ratio", "HEW*", "HEW : Population Ratio"], ["SNNPR", "242", "1:65,817", "220", "1:72,398", "3,980", "1:4,00... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Oromia | Answer: | 128 |
Table InputTable: [["Season", "Episodes", "Season Premiere", "Season Finale"], ["5", "40", "October 12, 2009", "June 14, 2010"], ["4", "48", "October 13, 2008", "May 11, 2009"], ["3", "44", "October 15, 2007", "June 2, 2008"], ["2", "52", "October 7, 2006", "July 16, 2007"], ["6", "20", "September 6, 2010", "December 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:... | October | Answer: | 128 |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["4", "September 27, 1998", "FOX 10:00 am MT", "at St. Louis Rams", "W 20–17", "55,832"], ["9", "November 1, 1998", "FOX 11:00 am MT", "at Detroit Lions", "W 17–15", "66,087"], ["3", "September 20, 1998", "ESPN 5:15 pm MT", "Philadelphi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Finland", "3", "3", "1", "7"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["7", "Norway", "2", "1", "1", "4"], ["4", "Switzerland", "3", "2", "1", "6"], ["5", "Sweden", "2", "4", "4", "10"], ["8", "Italy", "1", "2", "0", "3"], ["2", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Switzerland | Answer: | 128 |
Table InputTable: [["#", "Directed By", "Written By", "Original Air Date"], ["7", "Frank W. Smith", "Fran Carroll", "November 9, 1997"], ["9", "Douglas Mackinnon", "Neil McKay", "November 23, 1997"], ["8", "Douglas Mackinnon", "Neil McKay", "November 16, 1997"], ["14", "Ken Horn", "Neil McKay", "January 25, 1998"], ["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: [["Year", "Organization", "Award", "Work", "Result"], ["2007", "16th Hashida Awards", "Newcomer Award", "Hana Yori Dango 2", "Won"], ["2011", "26th Nikkan Sport Film Awards", "Best Newcomer", "Youkame no Semi, Miracle in the Pacific", "Won"], ["2012", "16th Nikkan Sport Grand Prix", "Best Actress", "T... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Route", "Name", "Fare Type", "Terminals", "Terminals", "Major streets", "Notes", "History"], ["32, 36", "Pennsylvania Avenue Line", "Local", "Friendship Heights station", "32 Southern Avenue station\\n36 Naylor Road station", "Wisconsin Avenue NW\\nPennsylvania Avenue SE/NW\\nBranch Avenue SE (36)\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 32 | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Score", "Result", "Record"], ["July 29", "Minnesota", "73-58", "Win", "14-8"], ["July 1", "Minnesota", "71-69", "Win", "8-7"], ["July 19", "@ Sacramento", "74-71", "Win", "12-8"], ["July 8", "Indiana", "60-56", "Win", "10-7"], ["May 22", "Seattle", "75-64", "Win", "1-0"], ["July... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Lane", "Name", "Nationality", "Time", "Notes"], ["7", "8", "Grant Patterson", "Australia", "55.49", ""], ["2", "4", "David Smetanine", "France", "38.97", "Q"], ["1", "5", "Eskender Mustafaiev", "Ukraine", "38.77", "Q"], ["3", "3", "Kyunghyun Kim", "South Korea", "40.37", "Q"], ["4", "6", "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: [["County", "Brown", "Votes", "Nixon", "Votes", "Wyckoff", "Votes"], ["Santa Barbara", "47.50%", "30,424", "51.24%", "32,821", "1.26%", "807"], ["San Joaquin", "49.40%", "43,276", "49.25%", "43,147", "1.34%", "1,178"], ["Nevada", "51.02%", "4,818", "47.12%", "4,450", "1.85%", "175"], ["Butte", "47.74%... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Nixon | Answer: | 128 |
Table InputTable: [["Rank", "Player Name", "No. of Titles", "Runner-up", "Final Appearances"], ["1", "Jansher Khan", "8", "1", "9"], ["2", "Jahangir Khan", "6", "3", "9"], ["17", "Mohibullah Khan", "0", "1", "1"], ["8", "Peter Nicol", "1", "2", "3"], ["15", "Qamar Zaman", "0", "4", "4"], ["17", "Karim Darwish", "0", "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:... | 8 | Answer: | 128 |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2007", "January 7", "Philadelphia Eagles", "23-20", "New York Giants", "Lincoln Financial Field"], ["2009", "November 1", "Philadelphia Eagles", "40-17", "New York Giants", "Lincoln Financial Field"], ["2006", "September 17", "New York Gian... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Series", "Team", "Races", "Wins", "Poles", "F/Laps", "Podiums", "Points", "Position"], ["2011", "Formula Pilota China", "Asia Racing Team", "12", "2", "0", "0", "3", "124", "2nd"], ["2009", "Asian Formula Renault Challenge", "Asia Racing Team", "12", "6", "2", "4", "7", "287", "2nd"], ["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:... | 7 | Answer: | 128 |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["1", "15", "Reggie Johnson", "PF/C", "United States", "Tennessee"], ["3", "61", "Rich Yonakor", "", "United States", "North Carolina"], ["10", "209", "Steve Schall", "", "United States", "Arkansas"], ["3", "60", "Lavon Merce... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Reggie Johnson | Answer: | 128 |
Table InputTable: [["Season", "Tier", "Division", "Place"], ["1991/92", "3", "2ªB", "12th"], ["1989/90", "4", "3ª", "1st"], ["1997/98", "4", "3ª", "1st"], ["1992/93", "3", "2ªB", "4th"], ["1996/97", "4", "3ª", "2nd"], ["1988/89", "4", "3ª", "3rd"], ["1998/99", "4", "3ª", "6th"], ["1995/96", "3", "2ªB", "19th"], ["1990/... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3ª | Answer: | 128 |
Table InputTable: [["Distribution", "x86", "x86-64", "ia64", "ppc", "ppc64", "sparc32", "sparc64", "arm", "hppa", "mips", "sh", "s390", "s390x", "alpha", "m68k"], ["Distribution", "x86", "x86-64", "ia64", "ppc", "ppc64", "sparc32", "sparc64", "arm", "hppa", "mips", "sh", "s390", "s390x", "alpha", "m68k"], ["MintPPC", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | Answer: | 128 |
Table InputTable: [["#", "Massif", "Region", "Type of nature reserve", "Preserved area", "Buffer zone"], ["1", "Chornohora", "Zakarpattia", "Carpathian Biosphere Reserve", "2476.8 ha", "12925 ha"], ["5", "Kuziy / Trybushany", "Zakarpattia", "Carpathian Biosphere Reserve", "1369.6 ha", "3163.4 ha"], ["2", "Uholka / Wide... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 19", "at Iowa State*", "", "Cyclone Stadium • Ames, IA (Cy-Hawk Trophy)", "", "L 12-23", "53,922"], ["November 21", "Michigan State", "#19", "Kinnick Stadium • Iowa City, IA", "", "W 36-7", "60,103"], ["September 26", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 33 | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["5", "Sept 25", "vs. Hamilton Tiger-Cats", "38–12", "Loss", "1–5"], ["4", "Sept 18", "vs. Toronto Argonauts", "34–6", "Loss", "1–4"], ["12", "Nov 13", "vs. Montreal Alouettes", "14–12", "Win", "2–12"], ["10", "Oct 30", "vs. Hamilton Tiger-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:... | 45 | Answer: | 128 |
Table InputTable: [["Hand", "Auto", "Wind", "Athlete", "Nationality", "Birthdate", "Location", "Date"], ["", "10.95", "", "Karl Heinz Schröder", "Germany", "17.06.1939", "Hannover", "28.07.1979"], ["", "10.84", "1.8", "Erik Oostweegel", "Netherlands", "29.04.1960", "Tilburg", "10.06.2000"], ["", "10.26", "2.3", "Troy D... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Klaus Jürgen Schneider | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["1997", "USA Outdoor Championships", "Indianapolis, United States", "1st", "100 m hurdles"], ["2000", "Olympic Games", "Sydney, Australia", "3rd", "100 m hurdles"], ["1998", "USA Indoor Championships", "", "1st", "60 m hurdles"], ["1997", "World... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Title", "Role", "Notes"], ["2012", "Christmas Angel", "Daphney", ""], ["2013", "The Real", "Herself", "Host"], ["1996", "All That", "Herself", ""], ["1999", "Detention", "Orangejella LaBelle", "13 episodes"], ["1998", "Blues Clues", "Herself", "1 episode"], ["1994–1999", "Sister, Sister", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Melissa and Joey | Answer: | 128 |
Table InputTable: [["District", "Incumbent", "Party", "First\\nelected", "Result", "Candidates"], ["Maryland 8", "Connie Morella", "Republican", "1986", "Lost re-election\\nDemocratic gain", "Chris Van Hollen (D) 51.71%\\nConnie Morella (R) 47.49%\\nStephen Bassett (UN) 0.73%"], ["Maryland 6", "Roscoe Bartlett", "Repub... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Van Hollen | Answer: | 128 |
Table InputTable: [["Representative", "Years", "State", "Party", "Lifespan"], ["John A. Kasson", "1863–1867\\n1873–1877\\n1881–1884", "Iowa", "Republican", "1822–1910"], ["Martin Kalbfleisch", "1863–1865", "New York", "Democratic", "1804–1873"], ["Steve Kagen", "2007–2011", "Wisconsin", "Democratic", "1949–"], ["Raymon... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Frank M. Karsten | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2007", "World Championships", "Osaka, Japan", "3rd", "400 m hurdles", "48.12 (NR)"], ["2008", "Olympic Games", "Beijing, China", "6th", "400 m hurdles", "48.42"], ["2001", "World Championships", "Edmonton, Canada", "18th (sf)", "400 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:... | 10 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "North Korea", "1", "0", "1", "2"], ["6", "South Korea", "0", "0", "2", "2"], ["2", "Japan", "7", "10", "7", "24"], ["1", "China", "13", "9", "13", "35"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["4", "Kazakhstan", "2", "2", "0", "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:... | 7 | Answer: | 128 |
Table InputTable: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["3", "Bruno Junqueira", "Dale Coyne Racing", "69", "+8.419", "11", "26"], ["12", "Katherine Legge", "Dale Coyne Racing", "69", "+44.860", "14", "9"], ["13", "Robert Doornbos", "Minardi Team USA", "69", "+1:00.638", "9", "8"], ["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:... | Bruno Junqueira | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["1999", "All-Africa Games", "Johannesburg, South Africa", "1st", "3000 m st."], ["1998", "World Cross Country Championships", "Marrakech, Morocco", "8th", "Short race"], ["1996", "World Junior Championships", "Sydney, Australia", "2nd", "3000 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:... | All-Africa Games | Answer: | 128 |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Invader I", "5", "December 25, 1991", "San Juan, Puerto Rico", ""], ["Rico Suave", "2", "March 17, 2007", "Bayamon, Puerto Rico", ""], ["Invader I", "1", "November 5, 1986", "San Juan, Puerto Rico", ""], ["Rico Suave", "1", "April 6, 2002", "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:... | 8 | 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"], ["8", "Robin Schembera", "Germany", "1:47.79", "", "5"], ["1", "Adam Kszczot", "Poland", "1:46.50", "", "12"], ["11", "Ant... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Adam Kszczot | Answer: | 128 |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7CAE", "Hobart", "092.1", "FM", "Changed call to 7THE ca. 1980", "7THE", "Community"], ["7UV", "Ulverstone", "", "AM", "Moved to Devonport and changed call to 7AD in 1940", "7AD", "Commercial"], ["7QT", "Queensto... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7CAE | Answer: | 128 |
Table InputTable: [["No", "Driver", "Entrant", "Constructor", "Chassis", "Engine"], ["24", "Heinrich Joachim von Morgen", "Private entry", "Bugatti", "Bugatti T35B", "2.3 L8"], ["?", "William Grover-Williams", "Automobiles Ettore Bugatti", "Bugatti", "Bugatti T35B", "2.3 L8"], ["30", "Guy Bouriat", "Automobiles Ettore ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alfa Romeo | Answer: | 128 |
Table InputTable: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["1", "KR", "18", "11", "4", "3", "27", "14", "+13", "37", "UEFA Champions League"], ["3", "Grindavík", "18", "8", "6", "4", "25", "18", "+7", "30", "UEFA Cup"], ["2", "Fylkir", "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:... | 27 | Answer: | 128 |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2006", "Spartak Nizhny Novgorod", "Russia", "2", "36", "1"], ["2012/13", "Lokomotiv Moscow", "Russia", "1", "8", "0"], ["2005", "CSKA Moscow", "Russia", "1", "0", "0"], ["2013/14", "Lokomotiv Moscow", "Russia", "1", "14", "1"], ["2004", "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:... | 36 | Answer: | 128 |
Table InputTable: [["Rank", "Player", "Nation", "Club", "Goals"], ["1", "Jhonny Arteaga", "COL", "FC New York", "13"], ["2", "Matthew Delicâte", "ENG", "Richmond Kickers", "10"], ["9", "George Davis IV", "USA", "Dayton Dutch Lions", "7"], ["6", "Andriy Budnyy", "UKR", "Wilmington Hammerheads", "8"], ["3", "José Angulo"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jhonny Arteaga | Answer: | 128 |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-A-1", "2006..", "[[]]", "[[]]", "-"], ["GL-A-2", "2006..", "[[]]", "[[]]", "-"], ["GL-A-3", "2006..", "[[]]", "[[]]", "-"], ["GL-A-4", "2006..", "[[]]", "[[]]", "-"], ["GL-A-5", "2006..", "[[]]", "[[]]", "-"], ["GL-A-6", "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:... | 2006 | Answer: | 128 |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["1", "15", "Reggie Johnson", "PF/C", "United States", "Tennessee"], ["10", "209", "Steve Schall", "", "United States", "Arkansas"], ["6", "129", "Dean Uthoff", "", "United States", "Iowa State"], ["4", "83", "Calvin Roberts"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Reggie Johnson | Answer: | 128 |
Table InputTable: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Dzejlana \"Lana\" Baltić", "20", "179 cm (5 ft 10.5 in)", "Graz (originally from Bosnia)", "1st Eliminated in Episode 10"], ["Melisa Popanicić", "16", "175 cm (5 ft 9 in)", "Wörgl", "2nd Eliminated in Episode 10"], ["Sabrina Angelika Rauch †", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Isabelle Raisa, Nataša Marić, Teodora-Mădălina Andreica, Yemisi Rieger, Melisa Popanicić, Gina Zeneb Adamu, Antonia Maria Hausmair | Answer: | 128 |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["David Berger", "Weightlifting", "Light-heavyweight <82.5 kg", "—", "J:132.5 C:122.5 S:— T:—"], ["Ze'ev Friedman", "Weightlifting", "Bantamweight <56 kg", "12", "J:102.5 C:102.5 S:125 T:330"], ["Yossef Romano", "Weightlifting", "Middleweight <75 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["School", "Season", "Record", "Conference Record", "Place", "Postseason"], ["Illinois", "1914–15", "16–0", "12–0", "T1st", "National Champions"], ["Illinois", "1919–20", "9–4", "8–4", "3rd", ""], ["Illinois", "1916–17", "13–3", "10–2", "T1st", "Big Ten Champions"], ["Illinois", "1912–13", "10–6", "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:... | 2 | Answer: | 128 |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["16", "December 20, 1998", "FOX 2:05 pm MT", "New Orleans Saints", "W 19–17", "51,617"], ["13", "November 29, 1998", "FOX 11:00 am MT", "at Kansas City Chiefs", "L 34–24", "69,613"], ["3", "September 20, 1998", "ESPN 5:15 pm MT", "Phil... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | September 20, 1998 | Answer: | 128 |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["2014", "1 Dec 2013", "Beaver Creek, USA", "Giant slalom", "3rd"], ["2014", "22 Dec 2013", "Val-d'Isère, France", "Giant slalom", "1st"], ["2014", "25 Jan 2014", "Cortina d'Ampezzo, Italy", "Downhill", "3rd"], ["2014", "24 Jan 2014", "Cortina d'... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Danny Coles", "3", "0", "0", "0", "3"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["Scot Bennett", "5", "0", "0", "0", "5"], ["Jamie Cureton", "20", "0", "0", "0", "20"], ["OWN GOALS", "0", "0", "0", "0", "0"], ["Arron Davies", "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:... | John O'Flynn | Answer: | 128 |
Table InputTable: [["Rank", "Player", "Nation", "Club", "Goals"], ["2", "Matthew Delicâte", "ENG", "Richmond Kickers", "10"], ["9", "Chris Banks", "USA", "Wilmington Hammerheads", "7"], ["1", "Jhonny Arteaga", "COL", "FC New York", "13"], ["9", "Sallieu Bundu", "SLE", "Charlotte Eagles", "7"], ["9", "George Davis IV", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Code", "Area (km2)", "Population", "Most spoken language"], ["Remainder of the municipality", "91106", "2,944.04", "10,463", "Northern Sotho"], ["Moletji", "91107", "11.66", "4,989", "Northern Sotho"], ["Dendron", "91103", "2.98", "1,885", "Northern Sotho"], ["Ga-Ramokgopha", "91104", "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:... | Soekmekaar | Answer: | 128 |
Table InputTable: [["Region", "Physician (GP & specialist)", "Physician : Population Ratio", "Health Officer", "HO : Population Ratio", "All Nurses", "Nurse : Population Ratio", "Mid-wives", "Mid Wife: Population Ratio", "HEW*", "HEW : Population Ratio"], ["SNNPR", "242", "1:65,817", "220", "1:72,398", "3,980", "1:4,00... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Somalia | Answer: | 128 |
Table InputTable: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["7", "7", "Front Page", "January 17, 1999", "107"], ["13", "13", "Hot Dog", "March 14, 1999", "113"], ["1", "1", "Going Up!", "October 25, 1998", "101"], ["11", "11", "JB's Big Break", "February 21, 1999", "111"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Special FX-Ation | Answer: | 128 |
Table InputTable: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["6", "Tom Tancredo", "Open", "Hank Eng", "Mike Coffman"], ["2", "Mark Udall", "Open", "Jared Polis", "Scott Starin"], ["3", "John Salazar", "Re-election", "John Salazar", "Wayne Wolf"], ["7", "Ed Perlmutter", "Re-election", "Ed Pe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Open | Answer: | 128 |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["1994", "13 Mar 1994", "Whistler, BC, Canada", "Super G", "1st"], ["1993", "27 Feb 1993", "Whistler, BC, Canada", "Downhill", "2nd"], ["1994", "16 Mar 1994", "Vail, CO, USA", "Downhill", "3rd"], ["1995", "11 Dec 1994", "Tignes, France", "Super G... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Whistler, BC, Canada | Answer: | 128 |
Table InputTable: [["Nr.", "Name", "Area (km²)", "Population (2006)", "Capital", "Club(s)"], ["3", "Cairo", "3,435", "7,786,640", "Cairo", "Al-Ahly - Al Mokawloon - ENPPI - El-Jaish - El-Shorta - Itesalat"], ["1", "Alexandria", "2,900", "4,110,015", "Alexandria", "Al Itthad Al Sakandary - El-Olympi - Haras El Hodood"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Name", "Location", "Date Formed", "Area", "Description"], ["Cape Hatteras", "North Carolina\\n35°18′N 75°31′W / 35.30°N 75.51°W", "January 12, 1953", "30,350.65 acres (122.8 km2)", "Located in the Outer Banks, Cape Hatteras is known for its Bodie Island and Cape Hatteras Lighthouses. Popular recr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cape Lookout | 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"], ["March 12, 1964", "Michigan Tech", "4–3", "Win", "Coliseum, Ann Arbor, MI"], ["Jan. 24, 1964", "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:... | 24 | Answer: | 128 |
Table InputTable: [["Year", "Result", "Award", "Film"], ["2007", "Nominated", "People's Choice Award Favorite Male TV Star", ""], ["2008", "Nominated", "People's Choice Award Favorite Male TV Star", ""], ["2008", "Nominated", "Outstanding Lead Actor - Comedy Series", "Two and a Half Men"], ["2002", "Nominated", "Kids' ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Opponent", "Site", "Result"], ["November 6", "Kentucky", "Rickwood Field • Birmingham, AL", "W 14–0"], ["November 13", "Florida", "Cramton Bowl • Montgomery, AL", "W 49–0"], ["January 1, 1927", "vs. Stanford*", "Rose Bowl • Pasadena, CA (Rose Bowl)", "T 7–7"], ["October 30", "LSU", "Denny F... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | No | Answer: | 128 |
Table InputTable: [["Position", "Sail Number", "Yacht", "State/Country", "Yacht Type", "LOA\\n(Metres)", "Skipper", "Elapsed Time\\nd:hh:mm:ss"], ["4", "AUS70", "Ragamuffin", "NSW", "Farr 50", "15.15", "Syd Fischer", "3:06:11:29"], ["3", "YC1000", "Ausmaid", "SA", "Farr 47", "14.24", "Kevan Pearce", "3:06:02:29"], ["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:... | Ausmaid, Brindabella, Nokia, Ragamuffin, Sayonara | Answer: | 128 |
Table InputTable: [["Specifications", "Foundation", "Essentials", "Standard", "Datacenter"], ["Remote Desktop Services limits", "50 Remote Desktop Services connections", "Gateway only", "Unlimited", "Unlimited"], ["Virtualization rights", "N/A", "Either in 1 VM or 1 physical server, but not both at once", "2 VMs", "Unl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Datacenter | Answer: | 128 |
Table InputTable: [["Band", "Disc/Song", "Released", "Disc Description", "Disk Size", "Image"], ["Guns N' Roses", "Paradise City", "1989", "Shape of a Colt \"Peacemaker\"", "7\"", ""], ["The Coconuts (Side project of Kid Creole and the Coconuts)", "Did You Have To Love Me Like You Did", "1983", "In the shape of a cocon... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Opponent", "Score", "Result", "Location"], ["", "", "217–80", "24–4–1", ""], ["Jan. 10, 1964", "Minnesota", "5–1", "Win", "Minneapolis, MN"], ["March 21, 1964", "Denver", "6–3", "Win", "Denver, CO"], ["March 20, 1964", "Providence", "3–2", "Win", "Denver, CO"], ["Feb. 7, 1964", "Ohio", "14–... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Episode", "Show #", "Iron Chef", "Challenger", "Challenger specialty", "Secret ingredient(s) or theme", "Winner", "Final score"], ["6", "IA0506", "Bobby Flay", "Kurt Boucher", "French-American", "Arctic char", "Bobby Flay", "46-39"], ["5", "IA0504", "Cat Cora", "Mark Tarbell", "Seasonal Organic", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 50 | Answer: | 128 |
Table InputTable: [["Episode no.", "Airdate", "Viewers", "BBC Three weekly ranking", "Multichannels rank"], ["9", "20 June 2013", "1,204,000", "6", "9"], ["3", "9 May 2013", "885,000", "1", "11"], ["1", "25 April 2013", "979,000", "2", "9"], ["4", "16 May 2013", "880,000", "1", "13"], ["6", "30 May 2013", "1,094,000", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Num", "Pod Color", "Nickname", "Short Description", "Episode"], ["049", "White", "Picker", "This experiment was seen in pod form in Stitch! The Movie. His pod says 49 instead of 049, possibly due to the angle. Function unknown.", "Stitch! The Movie"], ["074", "White", "Welco", "This experiment was ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date of Incident", "Offender", "Team", "Offense", "Date of Action", "Length"], ["January 8, 2012", "Jean-Francois Jacques", "Anaheim Ducks", "Illegal hit to the head of R.J. Umberger.", "January 9, 2012", "3 games"], ["May 6, 2012", "Claude Giroux", "Philadelphia Flyers", "Illegal hit to the head o... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Alpha-numeric Code", "Station name\\nEnglish", "Station name\\nChinese", "Station name\\nTamil", "Opening"], ["BP8", "Pending", "秉定", "பெண்டிங்", "6 November 1999"], ["BP5", "Phoenix", "凤凰", "பீனிக்ஸ்", "6 November 1999"], ["BP7", "Petir", "柏提", "பெட்டீர்", "6 November 1999"], ["PTC / NE17", "Pungg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 November 1999 | Answer: | 128 |
Table InputTable: [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["2009-10", "3", "2009-10 Superliga", "Morten Rasmussen (12)", "4th round", "EC3 qual play-off round", ""], ["2007-08", "8", "2007-08 Superliga", "Morten Rasmussen (7)\\nMartin Ericsson (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:... | 4 | Answer: | 128 |
Table InputTable: [["Nr.", "Name", "Area (km²)", "Population (2006)", "Capital", "Club(s)"], ["3", "Cairo", "3,435", "7,786,640", "Cairo", "Al-Ahly - Al Mokawloon - ENPPI - El-Jaish - El-Shorta - Itesalat"], ["1", "Alexandria", "2,900", "4,110,015", "Alexandria", "Al Itthad Al Sakandary - El-Olympi - Haras El Hodood"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Asyut, Gharbia, Giza, Suez | Answer: | 128 |
Table InputTable: [["Release date", "Album Title", "Record Company", "Song Title", "Certification"], ["December 2007", "H.O.P.E. (Healing Of Pain and Enlightenment)", "Star Records", "\"Count On Me\"", "PARI: Gold"], ["January 2011", "OPM Number 1's Vol. 2", "Star Records", "\"All Me (Remix)\"", "PARI:"], ["April 2009"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Nagmamahal, Kapamilya: Songs for Global Pinoys | Answer: | 128 |
Table InputTable: [["Season", "Class", "Moto", "Races", "Win", "Podiums", "Pole", "Pts", "Position"], ["2008", "125cc", "Aprilia", "17", "1", "5", "0", "176", "5th"], ["2004", "125cc", "Aprilia", "1", "0", "0", "0", "0", "NC"], ["2007", "125cc", "Derbi", "17", "0", "0", "0", "19", "22nd"], ["2010", "125cc", "Aprilia", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2011 | Answer: | 128 |
Table InputTable: [["Year", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["1996", "Troy Corser", "7", "Ducati 916", "Ducati"], ["2001", "Troy Bayliss", "6", "Ducati 996", "Ducati"], ["1998", "Carl Fogarty", "3", "Ducati 916", "Ducati"], ["1994", "Carl Fogarty", "11", "Ducati 916", "Ducati"], ["1995", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Corser | Answer: | 128 |
Table InputTable: [["No.", "Date", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["2.", "April 4, 2011", "Chile F2", "Clay", "Sergio Galdós", "Guillermo Hormazábal\\n Rodrigo Pérez", "5–7, 7–6(5), [10–5]"], ["7.", "August 26, 2012", "Ecuador F3", "Clay", "Sergio Galdós", "Mauricio Echazú\\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:... | Argentina F8 | Answer: | 128 |
Table InputTable: [["Year", "Wins (majors)", "Earnings ($)", "Rank"], ["2008", "1", "1,695,237", "48"], ["1995", "1", "1,111,999", "6"], ["2009", "0", "1,622,401", "52"], ["1998", "1", "1,541,152", "11"], ["2007", "0", "1,016,489", "96"], ["2012", "0", "989,753", "100"], ["2005", "0", "2,658,779", "13"], ["2011", "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:... | 1992 | Answer: | 128 |
Table InputTable: [["Year", "Winner", "Age", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Purse", "Gr"], ["2012", "Take Charge Indy", "3", "Calvin Borel", "Patrick B. Byrne", "C & M Sandford", "1-1/8", "1:48.79", "$1,000,000", "I"], ["1971", "Eastern Fleet", "3", "Eddie Maple", "Reggie Cornell", "Calume... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2.04 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "South Korea (KOR)", "32", "48", "65", "145"], ["6", "North Korea (PRK)", "6", "10", "20", "36"], ["2", "Japan (JPN)", "46", "56", "77", "179"], ["8", "Mongolia (MGL)", "1", "1", "6", "8"], ["7", "Hong Kong (HKG)", "2", "2", "9", "13"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 32 | Answer: | 128 |
Table InputTable: [["Rank", "Player", "Nation", "Club", "Goals"], ["6", "Andriy Budnyy", "UKR", "Wilmington Hammerheads", "8"], ["1", "Jhonny Arteaga", "COL", "FC New York", "13"], ["2", "Matthew Delicâte", "ENG", "Richmond Kickers", "10"], ["6", "Andrew Welker", "USA", "Harrisburg City Islanders", "8"], ["6", "Jamie W... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 24 | Answer: | 128 |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["12", "November 22, 1998", "FOX 11:00 am MT", "at Washington Redskins", "W 45–42", "63,435"], ["16", "December 20, 1998", "FOX 2:05 pm MT", "New Orleans Saints", "W 19–17", "51,617"], ["13", "November 29, 1998", "FOX 11:00 am MT", "at ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["22", "Massimo Pennacchioli", "Honda", "+1:59.498", ""], ["20", "Gabriele Debbia", "Honda", "+1:40.049", ""], ["1", "Doriano Romboni", "Honda", "33:53.776", "25"], ["21", "Adrian Bosshard", "Honda", "+1:47.492", ""], ["24", "Alessandro Grami... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Doriano Romboni | Answer: | 128 |
Table InputTable: [["Year", "Chassis", "Engine", "Start", "Finish", "Team"], ["2009", "Dallara", "Honda", "1", "1", "Team Penske"], ["2007", "Dallara", "Honda", "1", "3", "Team Penske"], ["2006", "Dallara", "Honda", "2", "25", "Team Penske"], ["2008", "Dallara", "Honda", "4", "4", "Team Penske"], ["2010", "Dallara", "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:... | 4 | Answer: | 128 |
Table InputTable: [["Ship", "Hull No.", "Status", "Years Active", "NVR\\nPage"], ["Henry J. Kaiser", "T-AO-187", "Active—Southern California Duty Oiler", "1986–present", "AO187"], ["Walter S. Diehl", "T-AO-193", "Active", "1988–present", "AO193"], ["Kanawha", "T-AO-196", "Active", "1991–present", "AO196"], ["Henry Eckf... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 28 | Answer: | 128 |
Table InputTable: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["4", "ÍBV", "18", "8", "5", "5", "29", "17", "+12", "29", "Inter-Toto Cup"], ["1", "KR", "18", "11", "4", "3", "27", "14", "+13", "37", "UEFA Champions League"], ["3", "Grindavík", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Marquinhos", "9", "1", "3", "13"], ["Aleksandar Tonev", "2", "0", "0", "2"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Pavel Vidanov", "0", "0", "1", "1"], ["Tomislav Kostadinov", "0", "0", "1", "1"], ["Spas Delev", "13", "7", "2", "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:... | 15 | Answer: | 128 |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["1", "9", "Libbie Hickman (USA)", "15:30.56 q", "SB"], ["2", "27", "Amy Rudolph (USA)", "16:00.87", ""], ["1", "2", "Paula Radcliffe (GBR)", "15:27.25 Q", ""], ["1", "21", "Melody Fairchild (USA)", "15:47.66", ""], ["1", "36", "Martha Portobanco (NCA)", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Libbie Hickman | Answer: | 128 |
Table InputTable: [["Represents", "Contestant", "Age", "Height", "Hometown"], ["Panamá Centro", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Panamá Este", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Panamá Oeste", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Bocas del Toro", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Herrera", "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:... | 3 | Answer: | 128 |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["1", "8", "Li Wei (CHN)", "15:29.62 Q", ""], ["2", "—", "Anne Hare (NZL)", "DNF", ""], ["2", "24", "Restituta Joseph (TAN)", "15:55.22", "NR"], ["2", "6", "Liu Jianying (CHN)", "15:29.28 Q", "PB"], ["2", "—", "Kristina da Fonseca-Wollheim (GER)", "DNF", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | China | Answer: | 128 |
Table InputTable: [["Year", "Designer(s)", "Brief description", "Selected by:", "Associated publication"], ["1979", "Jean Muir\\nManolo Blahnik for Zapata (shoes)", "Black rayon jersey dress & beret with black leather jacket", "Geraldine Ranson", "The Sunday Telegraph"], ["1964", "Jean Muir for Jane & Jane\\nCharles Jo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1970 | Answer: | 128 |
Table InputTable: [["Site", "Municipality", "Comments", "Coordinates", "Type", "Ref."], ["Jōdo-ji Gardens\\n浄土寺庭園\\nJōdoji teien", "Onomichi", "", "34°24′44″N 133°12′36″E / 34.41222952°N 133.21012266°E", "1", "[6]"], ["*Itsukushima\\n厳島\\nItsukushima", "Hatsukaichi", "also a Special Historic Site; Itsukushima Jinja i... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Country", "Amphibians", "Birds", "Mammals", "Reptile", "Total terrestrial vertebrates", "Vascular plants", "Biodiversity"], ["Nicaragua", "61", "632", "181", "178", "1052", "7590", "8642"], ["Costa Rica", "183", "838", "232", "258", "1511", "12119", "13630"], ["Guatemala", "133", "684", "193", "236... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Costa Rica | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "African Championships", "Bambous, Mauritius", "13th (h)", "800 m", "2:10.50"], ["2008", "African Championships", "Addis Ababa, Ethiopia", "6th", "800 m", "2:05.95"], ["2010", "African Championships", "Nairobi, Kenya", "7th", "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:... | 2004, 2005 | Answer: | 128 |
Table InputTable: [["Name", "Character", "Unicode code point (decimal)", "Standard", "DTD", "Old ISO subset", "Description"], ["lt", "<", "U+003C (60)", "HTML 2.0", "HTMLspecial", "ISOnum", "less-than sign"], ["minus", "−", "U+2212 (8722)", "HTML 4.0", "HTMLsymbol", "ISOtech", "minus sign"], ["plusmn", "±", "U+00B1 (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:... | U+003C (60) | Answer: | 128 |
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