context stringlengths 362 2.82k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 |
|---|---|---|---|---|
Table InputTable: [["Round", "Date", "Home/Away", "Opponent team", "Score", "Scorers"], ["32", "May 16, 2009", "Away", "Dinamo Tirana", "2β3", "Ansi Agolli Β 12', Sabien Lila Β 40', Ergys Sorra Β 73'"], ["14", "December 7, 2008", "Away", "KF Partizani Tirana", "2β2", "Jetmir Sefa Β 2', Migen Memelli Β 82'"], ["18", "January... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 17 | Answer: | 128 |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["16 Sep 1950", "Colchester United", "H", "2β0", "Parker 2", "16,021"], ["11 Nov 1950", "Southend United", "A", "0β3", "", "9,882"], ["7 Sep 1950", "Watford", "A", "2β0", "Parker, Moore", "9,451"], ["23 Sep 1950", "Bristol Rovers", "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:... | 2 games | 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:... | Tsirion Stadium | Answer: | 128 |
Table InputTable: [["Conference", "# of Bids", "Record", "WinΒ %", "Round\\nof 32", "Sweet\\nSixteen", "Elite\\nEight", "Final\\nFour", "Championship\\nGame"], ["Southeastern", "6", "10β6", ".625", "5", "3", "1", "1", "β"], ["Big Ten", "5", "9β5", ".643", "4", "2", "2", "1", "β"], ["Western Athletic", "1", "1β1", ".500"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Name", "Low grade", "High grade", "Students (K-12)", "FTE Teachers", "Student/teacher ratio"], ["St Thomas Aquinas Elementary School", "K", "8", "403", "25", "16.12"], ["Sheridan Road Christian School", "K", "12", "42", "5.9", "7.12"], ["St Helen Elementary School", "K", "8", "182", "10.9", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Less | Answer: | 128 |
Table InputTable: [["Rank", "Athlete", "Nationality", "2.15", "2.20", "2.24", "2.27", "Result", "Notes"], ["9.", "Ramsay Carelse", "South Africa", "xo", "xo", "o", "xxx", "2.24", ""], ["13.", "TomΓ‘Ε‘ Janku", "Czech Republic", "o", "o", "xxo", "xxx", "2.24", ""], ["1.", "Yaroslav Rybakov", "Russia", "o", "o", "o", "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:... | Ramsay Carelse | Answer: | 128 |
Table InputTable: [["Single / EP", "Tracks", "Label", "Year", "Album"], ["Hot & Cold", "Overdose", "Burn The Fire", "2010", "β"], ["Los Angeles", "Los Angeles\\nLos Angeles feat. Whiskey Pete (Clean Mix)\\nLos Angeles feat. Whiskey Pete (Dirty Mix)", "Burn The Fire", "2010", "The Agenda"], ["Your Love Is Electric", "Yo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hyped | Answer: | 128 |
Table InputTable: [["#", "Player", "Goals", "Caps", "Career"], ["3", "Eric Wynalda", "34", "106", "1990β2000"], ["9T", "DaMarcus Beasley", "17", "114", "2001βpresent"], ["8", "Eddie Johnson", "19", "62", "2004βpresent"], ["1", "Landon Donovan", "57", "155", "2000βpresent"], ["2", "Clint Dempsey", "36", "103", "2004βpre... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | less | Answer: | 128 |
Table InputTable: [["Location", "Reactor type", "Status", "Net\\nCapacity\\n(MWe)", "Gross\\nCapacity\\n(MWe)"], ["Chernobyl-4", "RBMK-1000", "destroyed in the 1986 accident", "925", "1,000"], ["Chernobyl-6", "RBMK-1000", "construction cancelled in 1988", "950", "1,000"], ["Chernobyl-1", "RBMK-1000", "shut down in 1996... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chernobyl-4 | Answer: | 128 |
Table InputTable: [["DATE", "OPPONENT", "SCORE", "TOP SCORER (Total points)", "VENUE"], ["September 23 Governor's Cup", "TANDUAY", "108-93", "", "PHILSPORTS ARENA"], ["October 24", "BRGY.GINEBRA", "93-72", "", "PHILSPORTS ARENA"], ["June 10 Commissioner's Cup", "MOBILINE", "97-92", "Tony Lang (29)", "ARANETA COLISEUM"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 19 | Answer: | 128 |
Table InputTable: [["Date", "Location", "Opponent", "Result", "Competition"], ["July 8, 2013", "Harrison, United States", "Honduras", "0β2", "GC"], ["July 15, 2013", "Houston, United States", "El Salvador", "0-1", "GC"], ["July 12, 2013", "Miami Gardens, United States", "Trinidad and Tobago", "2-0", "GC"], ["March 20, ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kosovo | Answer: | 128 |
Table InputTable: [["Year", "Matches", "Winner", "Results", "Pakistan\\nCaptain", "Pakistan\\nCoach", "India\\nCaptain", "India\\nCoach"], ["1986", "7", "India win", "3 - 2", "Hassan Sardar", "Anwar Ahmad Khan", "Mohmmad Shaheed", "M. P. Ganesh"], ["1981", "4", "Pakistan win", "2 - 1", "Akhtar Rasool", "Zakauddin", "Su... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 16 | Answer: | 128 |
Table InputTable: [["Rank", "Diver", "Nationality", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints", "Final\\nRank"], ["7", "Sharleen Stratton", "Australia", "282.45", "3", "281.65", "7"], ["11", "Brittany Broben", "Australia", "257.10", "10", "267.20", "11"], ["27", "Marion Farissier", "France", "221.65... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "No.", "Driver", "Team", "Engine", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["26", "27", "James Hinchcliffe", "Andretti Autosport", "Chevrolet", "35", "Mechanical", "10", "0", "10"], ["1", "2", "Ryan Briscoe", "Team Penske", "Chevrolet", "85", "2:07:02.8248", "2", "27", "50"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Graham Rahal | Answer: | 128 |
Table InputTable: [["Rank", "City", "Passengers", "Ranking", "Airline"], ["6", "Baja California Sur, Los Cabos", "37,526", "1", "Interjet"], ["2", "Nuevo LeΓ³n, Monterrey", "106,513", "", "AeromΓ©xico Connect, Interjet"], ["3", "Guerrero, Acapulco", "56,069", "", "AeromΓ©xico Connect, Interjet"], ["8", "Baja California, 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:... | 4 | Answer: | 128 |
Table InputTable: [["Date", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["August 16", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 1, Away", "KÀerjeng", "Stade Josy Barthel, Luxembourg", "3-0"], ["August 30", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 2, Home", "KÀerjeng", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "China", "13", "9", "13", "35"], ["2", "Japan", "7", "10", "7", "24"], ["6", "South Korea", "0", "0", "2", "2"], ["5", "North Korea", "1", "0", "1", "2"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["Total", "Total", "24", "23", "26", "73"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 35 | Answer: | 128 |
Table InputTable: [["Association", "Joining year", "Men's team", "Women's team", "League"], ["Guam", "2002", "Guam", "Guam", "Guam League"], ["Macau", "2002", "Macau", "Macau", "Campeonato da 1Βͺ DivisΓ£o do Futebol"], ["Northern Mariana Islands", "2008 1", "Northern Mariana Islands", "Northern Mariana Islands", "Norther... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Northern Mariana Islands | Answer: | 128 |
Table InputTable: [["Rank", "Island", "Area\\n(kmΒ²)", "Area\\n(sq mi)", "Country/Countries/Region"], ["263", "Kasos", "66", "26", "Greece"], ["247", "Tiree", "78", "30", "United Kingdom"], ["265", "Alonissos", "64", "25", "Greece"], ["273", "Graciosa Island", "62", "24", "Portugal"], ["213", "Santa Maria Island", "97",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tiree | Answer: | 128 |
Table InputTable: [["No.", "Date/time", "Aircraft", "Foe", "Result", "Location", "Notes"], ["8", "28 July 1917 @ 1735 hours", "Sopwith Triplane s/n N5462", "German two-seater aircraft", "Driven down out of control", "Middelkerke, Belgium", "Victory shared with Francis Mellersh"], ["5", "11 May 1917 @ 1950 hours", "Sopw... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sopwith Triplane s/n N5460 | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Record", "TV Time", "Attendance"], ["1", "September 9, 2001", "at Philadelphia Eagles", "W 20β17 (OT)", "1β0", "FOX 3:15pm", "66,243"], ["13", "December 9, 2001", "San Francisco 49ers", "W 27β14", "10β2", "FOX 12:00pm", "66,218"], ["2", "September 23, 2001", "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:... | New Orleans Saints | Answer: | 128 |
Table InputTable: [["Tablet", "Genealogy", "Narrative", "Colophon"], ["6", "Shem to Terah 11:10 - 26", "no narrative", "\"This is the account of Terah.\" 11:27"], ["11", "Descendants of Esau 36:10 to 37:1", "no narrative", "\"This is the account of Jacob.\" 37:2"], ["", "no genealogy", "37:2 to 50:26", "no colophon"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Results\\nFinal score", "Results\\nTeam record", "Venue", "Attendance"], ["12", "December 3", "Chicago Bears", "W 23β10", "7β5", "Metropolitan Stadium", "49,784"], ["13", "December 10", "Green Bay Packers", "L 23β7", "7β6", "Metropolitan Stadium", "49,784"], ["14", "Dece... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 160782 | Answer: | 128 |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2011", "24", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete"], ["2005", "18", "37", "β"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["May 20-21\\n118", "March 9\\n120", "December 25-26\\n122", "October 13-14\\n124", "August 1-2\\n126"], ["May 20, 2012", "March 9, 2016", "December 26, 2019", "October 14, 2023", "August 2, 2027"], ["May 21, 2031", "March 9, 2035", "December 26, 2038", "October 14, 2042", "August 2, 2046"], ["May 20... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | March 9, 2016 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2007", "World Student Games", "Bangkok, Thailand", "5th", "64.95 m"], ["2009", "World Student Games", "Belgrade, Serbia", "2nd", "72.85 m"], ["1999", "World Youth Championships", "Bydgoszcz, Poland", "12th", ""], ["2002", "European Championship... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 60.28 m | Answer: | 128 |
Table InputTable: [["Rank", "City", "Passengers", "Ranking", "Airline"], ["2", "Nuevo LeΓ³n, Monterrey", "106,513", "", "AeromΓ©xico Connect, Interjet"], ["8", "Baja California, Tijuana", "14,906", "", "Interjet"], ["6", "Baja California Sur, Los Cabos", "37,526", "1", "Interjet"], ["3", "Guerrero, Acapulco", "56,069", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tamaulipas, Tampico | Answer: | 128 |
Table InputTable: [["Conference", "# of Bids", "Record", "WinΒ %", "Round\\nof 32", "Sweet\\nSixteen", "Elite\\nEight", "Final\\nFour", "Championship\\nGame"], ["Southeastern", "6", "10β6", ".625", "5", "3", "1", "1", "β"], ["Southwest", "4", "5β4", ".556", "3", "2", "β", "β", "β"], ["Big East", "2", "5β2", ".714", "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:... | Southeastern | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Croatia", "0", "3", "3", "6"], ["6", "Tunisia", "3", "0", "0", "3"], ["7", "Algeria", "2", "0", "2", "4"], ["3", "Slovenia", "5", "4", "3", "12"], ["2", "Italy", "12", "8", "10", "30"], ["9", "Egypt", "0", "1", "2", "3"], ["1", "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:... | Spain | Answer: | 128 |
Table InputTable: [["Season", "Class", "Moto", "Races", "Win", "Podiums", "Pole", "Pts", "Position"], ["2013", "Moto2", "Suter", "17", "3", "4", "1", "150", "7th"], ["2012", "Moto2", "Suter", "17", "0", "1", "0", "37", "17th"], ["2014", "Moto2", "Suter", "1", "0", "0", "0", "0*", "NC*"], ["2010", "125cc", "Aprilia", "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:... | 2011 | Answer: | 128 |
Table InputTable: [["Celebrity", "Residence", "Famous for.../Occupation", "Age", "Status"], ["BΓ‘rbara Rey", "Totana, Murcia", "Actress, Vedette, TV Host", "61", "2nd Evicted"], ["Regina Do Santos", "Brazil", "Singer & Dancer", "58", "1st / 14th Evicted"], ["Brenda CerdΓ‘", "Valencia", "Reality show star", "19", "4th Evi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Regina Do Santos | Answer: | 128 |
Table InputTable: [["Specifications", "Foundation", "Essentials", "Standard", "Datacenter"], ["Windows Server Update Services", "No", "Yes", "Yes", "Yes"], ["Windows Deployment Services", "Yes", "Yes", "Yes", "Yes"], ["Licensing model", "Per server", "Per server", "Per CPU pair + CAL", "Per CPU pair + CAL"], ["Server 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:... | 1 | Answer: | 128 |
Table InputTable: [["Rank", "Athlete", "Nationality", "2.15", "2.20", "2.24", "2.27", "Result", "Notes"], ["1.", "Yaroslav Rybakov", "Russia", "o", "o", "o", "o", "2.27", "q"], ["13.", "TomΓ‘Ε‘ Janku", "Czech Republic", "o", "o", "xxo", "xxx", "2.24", ""], ["1.", "Andriy Sokolovskyy", "Ukraine", "o", "o", "o", "o", "2.27... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Country", "Amphibians", "Birds", "Mammals", "Reptile", "Total terrestrial vertebrates", "Vascular plants", "Biodiversity"], ["Costa Rica", "183", "838", "232", "258", "1511", "12119", "13630"], ["Panama", "182", "904", "241", "242", "1569", "9915", "11484"], ["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:... | 16 | Answer: | 128 |
Table InputTable: [["Year", "Network", "Race caller", "Color commentator", "Reporters", "Trophy Presentation"], ["1953", "CBS", "Bryan Field", "Mel Allen", "Phil Sutterfield", "Phil Sutterfield"], ["1956", "CBS", "Fred Capossela", "Bryan Field", "", ""], ["1952", "CBS", "Bryan Field", "Sam Renick", "", ""], ["1958", "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:... | 5 | Answer: | 128 |
Table InputTable: [["No. in\\nseries", "No. in\\nseason", "Title", "Directed by", "Written by", "Original air date", "Prod.\\ncode"], ["4", "7", "\"Danny was a Million Laughs\"", "Mark Rydell", "Arthur Dales", "OctoberΒ 27,Β 1965", "107"], ["11", "10", "\"Tatia\"", "David Friedkin", "Robert Lewin", "NovemberΒ 17,Β 1965", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Cahill", "-", "-", "1", "1"], ["Milicic", "2", "-", "-", "2"], ["Chipperfield", "1", "-", "1", "2"], ["Bresciano", "2", "-", "1", "3"], ["Elrich", "1", "-", "-", "1"], ["Griffiths", "1", "-", "-", "1"], ["Th... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Colosimo | Answer: | 128 |
Table InputTable: [["County", "Brown", "Votes", "Nixon", "Votes", "Wyckoff", "Votes"], ["San Luis Obispo", "52.86%", "16,110", "45.36%", "13,825", "1.78%", "543"], ["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"], ["Sacr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Plumas | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "1.", "6 October 2003", "Bari, Italy", "Clay", "Bettina Pirker", "6β2, 7β5"], ["Runner-up", "5.", "13 March 2007", "Orange, USA", "Hard", "Naomi Cavaday", "6β1, 6β1"], ["Runner-up", "8.", "9 July 2007", "Biella, 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:... | no | Answer: | 128 |
Table InputTable: [["Iteration", "Dates", "Location", "Attendance", "Notes"], ["GameStorm 15", "March 21β24, 2013", "Hilton - Vancouver, WA", "1188", ""], ["GameStorm 10", "March 2008", "Red Lion - Vancouver, WA", "750", "-"], ["GameStorm 12", "March 25β28, 2010", "Hilton - Vancouver, WA", "802", "Board games Guest of ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5532 | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["DNQ", "28", "Skip Barber", "March-Ford", "", "", "", ""], ["DNQ", "18", "Alex Soler-Roig", "March-Ford", "", "", "", ""], ["7", "22", "John Surtees", "Surtees-Ford", "79", "+ 1 Lap", "10", ""], ["10", "8", "Tim Schenk... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Player", "Country", "Score", "To par", "Money ($)"], ["T4", "Jeff Maggert", "United States", "69-72-77-66=284", "+4", "66,633"], ["T10", "Bob Tway", "United States", "69-69-72-75=285", "+5", "44,184"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["1", "Cor... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bob Tway | Answer: | 128 |
Table InputTable: [["Rank", "Lane", "Name", "Nationality", "Time", "Notes"], ["7", "8", "Grant Patterson", "Australia", "55.49", ""], ["1", "5", "Eskender Mustafaiev", "Ukraine", "38.77", "Q"], ["2", "4", "David Smetanine", "France", "38.97", "Q"], ["5", "7", "Arnost Petracek", "Czech Republic", "43.12", ""], ["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:... | 43.12 | Answer: | 128 |
Table InputTable: [["Year", "Award", "Nominated work", "Category", "Result"], ["2007", "Cosmopolitan Ultimate Woman of the Year", "Leona Lewis", "Newcomer of the Year", "Won"], ["2009", "BEFFTA Awards", "Leona Lewis", "Best Female Act", "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:... | 6 | Answer: | 128 |
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