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: [["Place", "Player", "Country", "Score", "To par"], ["T7", "K. J. Choi", "South Korea", "69-70-74=213", "+3"], ["1", "Retief Goosen", "South Africa", "68-70-69=207", "–3"], ["T7", "Lee Westwood", "England", "68-72-73=213", "+3"], ["T7", "Tiger Woods", "United States", "70-71-72=213", "+3"], ["T2", "Ja... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | K. J. Choi | Answer: | 128 |
Table InputTable: [["Representative", "Title", "Presentation\\nof Credentials", "Termination\\nof Mission", "Appointed by"], ["Jeanette W. Hyde", "Ambassador Extraordinary and Plenipotentiary", "April 4, 1995", "January 31, 1998", "Bill Clinton"], ["Earl Norfleet Phillips", "Ambassador Extraordinary and Plenipotentiary... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dennis F. Carter | Answer: | 128 |
Table InputTable: [["Year", "Winner", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Win $"], ["2009", "Miss World", "Cornelio Velasquez", "Christophe Clement", "Waratah Thoroughbreds", "1-1/8", "1:53.55", "$180,000"], ["1978", "Late Bloomer", "Jorge Velasquez", "John M. Gaver, Jr.", "Greentree Stable", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Check the Label | Answer: | 128 |
Table InputTable: [["Date", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["October 25", "Anderlecht", "UEFA Cup", "Group Stage", "Match 1, Home", "Hapoel Tel Aviv", "Constant Vanden Stock Stadium, Anderlecht", "2-0"], ["August 15", "Anderlecht", "Champions League", "Qual. Round 3", "Leg 1, 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:... | Anderlecht | Answer: | 128 |
Table InputTable: [["Rank", "Pair", "Country", "Athletes", "Time", "Deficit"], ["", "3", "Netherlands", "Sven Kramer\\nKoen Verweij\\nJan Blokhuijsen", "3:41.43", ""], ["6", "3", "Germany", "Patrick Beckert\\nMarco Weber\\nRobert Lehmann", "3:46.48", "+5.05"], ["8", "2", "Poland", "Zbigniew Bródka\\nKonrad Niedźwiedzki... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Norway | Answer: | 128 |
Table InputTable: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["1", "May 21", "Sears Point", "Greg Pickett", "Chevrolet Corvette", "Gene Bothello", "Chevrolet Corvette"], ["8", "September 4", "Road America", "Greg Pickett", "Chevrolet ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["Leafield", "Steamer", "Lake Superior", "", "all hands"], ["Henry B. Smith", "Steamer", "Lake Superior", "", "all hands"], ["Plymouth", "Barge", "Lake Michigan", "", "7 lost"], ["Lightship No. 82", "Lightship", "Lake Erie", "Point Albino ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lightship | Answer: | 128 |
Table InputTable: [["#", "Title", "Time", "Lyrics", "Music", "Producer(s)", "Performer(s)"], ["4", "\"It Ain't A Thang\"", "3:45", "Boondox", "Mike E. Clark", "Boondox", "Boondox"], ["2", "\"Seven\"", "3:30", "Boondox", "Mike E. Clark", "Boondox", "Boondox"], ["8", "\"Rollin Hard\"", "4:07", "Boondox", "Mike E. Clark",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Intro | Answer: | 128 |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["State\\n(linked to\\nsummaries below)", "Incumbent", "Incumbent", "Incumbent", "Most recent election results", "2018... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Client", "Years of Operation", "Area of Operation", "Country", "Services"], ["IPC-Dublin", "1997-97", "Kilwa", "Tanzania", "Drilling"], ["Fina", "1997", "El Hamada", "Libya", "Drilling, workover"], ["IPLL", "1999-current", "El Naka field", "Libya", "Drilling"], ["Waha", "1994", "El Zahra", "Libya",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | El Hamada | Answer: | 128 |
Table InputTable: [["Name", "Nation", "Position", "League Apps", "League Goals", "FA Cup Apps", "FA Cup Goals", "Total Apps", "Total Goals"], ["Ian Duthie", "Scotland", "MF", "1", "0", "0", "0", "1", "0"], ["Henry Stewart", "England", "DF", "15", "0", "0", "0", "15", "0"], ["Bill Hayes", "Republic of Ireland", "DF", "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", "Title", "Genre", "Publisher", "Notes"], ["1911", "The Young Pitcher", "Baseball", "Harper & Brothers", ""], ["1920", "The Redheaded Outfield and other Baseball Stories", "Baseball", "Harper & Brothers", ""], ["1909", "The ShortStop", "Baseball", "A. C. McClurg", ""], ["1951", "The Dude Rang... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Location", "Opponent", "Result", "Competition"], ["January 19, 2013", "Concepción, Chile", "Chile", "0–3", "F"], ["July 12, 2013", "Miami Gardens, United States", "Trinidad and Tobago", "2-0", "GC"], ["July 8, 2013", "Harrison, United States", "Honduras", "0–2", "GC"], ["March 24, 2013", "S... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | more | Answer: | 128 |
Table InputTable: [["Year", "Recipient", "Nationality", "Profession", "Speech"], ["2008", "David Be'eri, Mordechai Eliav, Rabbi Yehuda Maly", "Israel", "", ""], ["1997", "Elie Wiesel", "United States", "Professional writer\\nWinner of the Nobel Peace Prize (1986)", ""], ["2009", "Caroline Glick", "Israel", "Journalist"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Elie Wiesel | Answer: | 128 |
Table InputTable: [["Match no.", "Match Type", "Team Europe", "Score", "Team USA", "Progressive Total"], ["30", "Baker", "Team Europe", "202 - 203", "Team USA", "15 - 15"], ["31", "Singles", "Tore Torgersen", "202 - 264", "Chris Barnes", "15 - 16"], ["25", "Singles", "Mika Koivuniemi", "217 - 279", "Chris Barnes", "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:... | 1 | Answer: | 128 |
Table InputTable: [["Contestant", "Original\\nTribe", "First\\nSwitch", "Second\\nSwitch", "Merged\\nTribe", "Finish", "Ghost\\nIsland", "Total\\nVotes"], ["Aleksandar Krajišnik\\n19, Majur, near Šabac", "Ga 'dang", "Ga 'dang", "Ga 'dang", "Diwata", "Sole Survivor", "Locator of\\nHidden Immunity Idol\\n(Failed)\\nDay 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:... | Aleksandar Krajišnik | Answer: | 128 |
Table InputTable: [["Value", "Diameter", "Composition", "1975–1979\\nObverse", "1975–1979\\nReverse", "1981-\\nObverse", "1981-\\nReverse"], ["10 seniti", "24 mm", "Cupronickel", "King", "Grazing cattle", "King", "Bananas on tree"], ["2 seniti", "21 mm", "Bronze", "Marrows", "PLANNED FAMILIES FOOD FOR ALL, six people 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:... | 2 | Answer: | 128 |
Table InputTable: [["Season", "Tier", "Division", "Place"], ["1988/89", "4", "3ª", "3rd"], ["1993/94", "3", "2ªB", "15th"], ["1991/92", "3", "2ªB", "12th"], ["1992/93", "3", "2ªB", "4th"], ["1994/95", "3", "2ªB", "9th"], ["1995/96", "3", "2ªB", "19th"], ["1996/97", "4", "3ª", "2nd"], ["1989/90", "4", "3ª", "1st"], ["19... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["9", "Ivan Mikac", "42", "Mazda RX-7", "Ivan Mikac", "-", "-", "25", "26", "51"], ["22", "Shane Eklund", "", "", "", "10", "-", "-", "-", "10"], ["", "Paul Barrett", "", "", "", "-", "-", "-", "12", "12"], ["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:... | Des Wall | Answer: | 128 |
Table InputTable: [["isn", "name", "arrival\\ndate", "departure\\ndate", "notes"], ["82", "Rasul Kudayev", "", "2004-02-27", "Repatriated to Russia on January 3, 2004.[citation needed]\\nReported to have been repatriated on 24 February 2004 with six other Russian men.\\nAlso called \"Abdullah D. Kafkas\"."], ["211", "R... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rasul Kudayev | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["9", "Germany", "1", "0", "1", "2"], ["8", "Italy", "1", "2", "0", "3"], ["2", "Austria", "4", "3", "4", "11"], ["7", "Norway", "2", "1", "1", "4"], ["5", "Sweden", "2", "4", "4", "10"], ["4", "Swi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Canada | Answer: | 128 |
Table InputTable: [["Single / EP", "Tracks", "Label", "Year", "Album"], ["2012 – Remix Contest EP", "2012 (Remastered)", "Burn The Fire", "2012", "The Agenda"], ["Louder Than Bombs", "Louder Than Bombs", "Burn The Fire", "2012", "The Agenda"], ["Hot & Cold", "Overdose", "Burn The Fire", "2010", "—"], ["Breakdown", "Bre... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Release date", "Album Title", "Record Company", "Song Title", "Certification"], ["October 8, 2006", "Hotsilog: The ASAP Hotdog Compilation", "ASAP Music", "\"Annie Batungbakal\"", "PARI: Platinum"], ["December 2007", "H.O.P.E. (Healing Of Pain and Enlightenment)", "Star Records", "\"Count On Me\"",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | July 25, 2007 | 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", "October 27, 1965", "107"], ["8", "6", "\"The Loser\"", "Mark Rydell", "Robert Culp", "October 20, 1965", "106... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Paul Wendkos | Answer: | 128 |
Table InputTable: [["Name", "Title", "Date from", "Date until", "Russian state", "Austrian state"], ["Mikhail Timofeyevich Yefremov", "Ambassador Extraordinary and Plenipotentiary", "10 March 1975", "24 October 1986", "Soviet Union", "Republic of Austria"], ["Andrey Kirillovich Razumovsky", "Ambassador", "5 October 180... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 34 | Answer: | 128 |
Table InputTable: [["#", "Title", "Featured guest(s)", "Producer(s)", "Time", "Sample (s)"], ["2", "\"Where Y'all From\"", "", "Battlecat", "1:11", ""], ["1", "\"Hog\"", "", "Battlecat", "4:24", "*\"3 Time Felons\" by Westside Connection"], ["4", "\"The Shadiest One\"", "CJ Mac", "Ant Banks", "4:26", ""], ["15", "\"It'... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hog | Answer: | 128 |
Table InputTable: [["Route", "Destinations", "Via", "Frequency\\n(minutes)", "Peak Hours Only", "Former"], ["19", "Montreal Street\\nQueen's University", "Downtown", "30", "X", ""], ["1", "Montreal Street\\nSt. Lawrence College", "Downtown", "30", "", "Cataraqui Town Centre-Woods"], ["14", "Train Station\\nCataraqui To... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Contestant", "Original\\nTribe", "First\\nSwitch", "Second\\nSwitch", "Merged\\nTribe", "Finish", "Ghost\\nIsland", "Total\\nVotes"], ["Milena Vitanović\\n21, Paraćin", "Ga 'dang", "", "", "", "4th Voted Out\\nDay 13", "4th Eliminated\\nDay 18", "8"], ["Branka Čudanov\\n28, Kikinda", "Ga 'dang", ""... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Aleksandar Bošković | Answer: | 128 |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["1973", "Borussia Mönchengladbach", "PFC CSKA Sofia", "Real Zaragoza", "West Ham"], ["1974", "Real Zaragoza", "Eintracht Frankfurt", "FC Molenbeek Brussels Strombeek", "Partizan Belgrade"], ["1972", "Hamburg SV", "Sociedade Esportiva Palmeiras", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Episode no.", "Airdate", "Viewers", "BBC Three weekly ranking", "Multichannels rank"], ["2", "2 May 2013", "978,000", "1", "11"], ["1", "25 April 2013", "979,000", "2", "9"], ["10", "27 June 2013", "730,000", "N/A", "28"], ["4", "16 May 2013", "880,000", "1", "13"], ["7", "6 June 2013", "975,000", ... | 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:... | 1000 | Answer: | 128 |
Table InputTable: [["Player", "No.", "Nationality", "Position", "Years for Jazz", "School/Club Team"], ["Todd Fuller", "52", "United States", "Center", "1998-99", "North Carolina State"], ["Bernie Fryer", "25", "United States", "Guard", "1975-76", "BYU"], ["Kyrylo Fesenko", "44", "Ukraine", "Center", "2007-11", "Cherka... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Terry Furlow | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2007", "All-Africa Games", "Algiers, Algeria", "3rd", "Discus throw", "57.79 m"], ["2003", "All-Africa Games", "Abuja, Nigeria", "5th", "Shot put", "17.76 m"], ["2003", "All-Africa Games", "Abuja, Nigeria", "2nd", "Discus throw", "62.8... | 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:... | 2 | Answer: | 128 |
Table InputTable: [["#", "Title", "Featured guest(s)", "Producer(s)", "Time", "Sample (s)"], ["5", "\"Can't Hold Back\"", "Ice Cube", "Skooby Doo", "3:34", "*\"Ain't No Half-Steppin'\" by Big Daddy Kane"], ["10", "\"Like That\"", "Ice Cube, Daz Dillinger & CJ Mac", "Daz Dillinger", "4:29", "*\"Just Rhymin' With Biz\" b... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Heywood H. Davis", "1958", "1959", "Kansas (1958)", "none"], ["Jerome B. Libin", "1959", "1960", "Michigan (1959)", "none"], ["Kenneth W. Dam", "1957", "1958", "Chicago (1957)", "none"], ["William C. Canby, Jr.", "1958", "1959... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1992", "Olympic Games", "Barcelona, Spain", "5th", "Marathon", "2:14:15"], ["1987", "World Championships", "Rome, Italy", "13th", "Marathon", "2:17:45"], ["1996", "Olympic Games", "Atlanta, United States", "20th", "Marathon", "2:17:27"... | 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:... | 2 | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "2.", "2 May 2004", "Torneo Godó, Barcelona, Spain", "Clay", "Gastón Gaudio", "6–3, 4–6, 6–2, 3–6, 6–3"], ["Runner-up", "4.", "30 April 2006", "Torneo Godó, Barcelona, Spain", "Clay", "Rafael Nadal", "4–6, 4–6, 0–6"]... | 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:... | 2 | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["1", "1", "Alain Prost", "McLaren-TAG", "82", "1:54:20.388", "4", "9"], ["2", "6", "Nelson Piquet", "Williams-Honda", "82", "+ 4.205", "2", "6"], ["4", "3", "Martin Brundle", "Tyrrell-Renault", "81", "+ 1 Lap", "16", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 15 | Answer: | 128 |
Table InputTable: [["Rank", "Player Name", "No. of Titles", "Runner-up", "Final Appearances"], ["5", "Nick Matthew", "3", "0", "3"], ["8", "Peter Nicol", "1", "2", "3"], ["3", "Geoff Hunt", "4", "1", "5"], ["6", "David Palmer", "2", "1", "3"], ["14", "Chris Dittmar", "0", "5", "5"], ["9", "Ross Norman", "1", "1", "2"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["", "Chronological\\nNo.", "Date\\n(New style)", "Water level\\ncm", "Peak hour"], ["2", "210", "23 September 1924", "380", "19:15"], ["46", "211", "3 January 1925", "225", "21:30"], ["39", "228", "14 September 1938", "233", "2:25"], ["24", "136", "20 October 1873", "242", "–"], ["20", "55", "20 Nov... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 22 | Answer: | 128 |
Table InputTable: [["Rnd", "Circuit", "GTP Winning Team\\nGTP Winning Drivers", "GTO Winning Team\\nGTO Winning Drivers", "GTU Winning Team\\nGTU Winning Drivers", "Results"], ["15", "Michigan", "#56 Blue Thunder Racing", "#91 Electrodyne", "#84 Dole Racing", "Results"], ["10", "Watkins Glen", "#14 Holbert Racing", "#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:... | 5 | Answer: | 128 |
Table InputTable: [["#", "Player", "Goals", "Caps", "Career"], ["1", "Landon Donovan", "57", "155", "2000–present"], ["2", "Clint Dempsey", "36", "103", "2004–present"], ["8", "Eddie Johnson", "19", "62", "2004–present"], ["6T", "Jozy Altidore", "21", "67", "2007–present"], ["6T", "Bruce Murray", "21", "86", "1985–1993... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Landon Donovan | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["17 April 2006", "Newcastle United", "Stadium of Light", "1–4", "40,032", "Hoyte"], ["14 April 2006", "Manchester United", "Old Trafford", "0–0", "72,519", ""], ["1 May 2006", "Arsenal", "Stadium of Light", "0–3", "44,003", ""], ["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:... | Aston Villa | Answer: | 128 |
Table InputTable: [["Name", "Topic", "Cost", "Target age", "Advertising"], ["Cut-the-Knot", "Maths", "Free", "8+", "Yes - extensive"], ["IXL", "Math", "$80/year", "4-12", "?"], ["Awesome Library", "All", "Free", "All", "Yes - large"], ["Archimedes-lab.org", "Mathematics", "Free", "10+", "Yes - limited"], ["WatchKnowLea... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["1993", "Patrice Ferri", "–", "–", "–"], ["2010", "Philippe Billy", "Philippe Billy", "Tony Donatelli", "Ali Gerba"], ["2008", "Matt Jordan", "Nevio Pizzolitto", "Joey Gjertsen", "Stefano Pesoli"], ["2011", "Hass... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["18", "98", "Richard Antinucci", "Team 3G", "83", "+ 2 Laps", "19", "0", "12"], ["19", "7", "Danica Patrick", "Andretti Green Racing", "83", "+ 2 Laps", "12", "0", "12"], ["1", "9", "Scott Dixon", "Chip Ganassi R... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Danica Patrick | Answer: | 128 |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["4", "United Kingdom", "$1.7 billion", "2012", "36.1% (2011)"], ["8", "Germany", "$1.3 billion", "2012", "–"], ["1", "Canada/United States", "$10.8 billion", "2012", "–"], ["11", "Italy", "$0.84 billion", "2013", "30% (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:... | Canada/United States | 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"], ["10", "Leiftur", "18", "3", "7", "8", "24", "39", "-15", "16", "Relegated"], ["9", "Stjarnan", "18", "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:... | 16 | Answer: | 128 |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2008/09", "Dnipro Dnipropetrovsk", "Ukraine", "1", "22", "1"], ["2007/08", "Dnipro Dnipropetrovsk", "Ukraine", "1", "24", "0"], ["2009/10", "Dnipro Dnipropetrovsk", "Ukraine", "1", "28", "0"], ["2010/11", "Dnipro Dnipropetrovsk", "Ukraine"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 22 | Answer: | 128 |
Table InputTable: [["Source", "Date", "Population\\nRomania", "Population\\nSerbia", "Notes"], ["Romanian census", "1930", "10,012", "", "Romanian Banat only"], ["Romanian census", "1939", "9,951", "", "Romanian Banat only"], ["Karol Telbizov", "1940", "12,000", "", "Romanian Banat only; estimated"], ["Romanian census"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 17,259 | Answer: | 128 |
Table InputTable: [["Player", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Milicic", "2", "-", "-", "2"], ["Chipperfield", "1", "-", "1", "2"], ["Zdrilic", "1", "-", "-", "1"], ["Cahill", "-", "-", "1", "1"], ["Colosimo", "1", "-", "-", "1"], ["Bresciano", "2", "-", "1", "3"], ["Al... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Aloisi | Answer: | 128 |
Table InputTable: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["1.", "18238", "Chhatisgarh Express", "01:23", "01:25", "Daily"], ["29.", "51830", "Agra-Nagpur Pass", "18:04", "18:05", "Daily"], ["12.", "51829", "Nagpur-Agra Pass", "09:41", "09:42", "Daily"], ["33.", "18237", "Chhatisg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chhatisgarh Express | Answer: | 128 |
Table InputTable: [["Character", "Real name", "Home world", "Membership notes", "Powers"], ["Karate Kid II", "Myg", "Lythyl", "Joined as a replacement for Val Armorr, as revealed in Final Crisis: Legion of 3 Worlds #1 (October 2008), unlike his counterpart who did not join the original team prior to Crisis on Infinite ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Karate Kid II | Answer: | 128 |
Table InputTable: [["Year", "Network", "NASCAR\\nCountdown", "Lap-by-lap", "Color commentator(s)", "Pit reporters", "Ratings", "Viewers"], ["2007", "ESPN", "Brent Musburger\\nSuzy Kolber\\nBrad Daugherty", "Jerry Punch", "Rusty Wallace\\nAndy Petree", "Dave Burns\\nJamie Little\\nAllen Bestwick\\nMike Massaro", "4.2 (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:... | 2008 | Answer: | 128 |
Table InputTable: [["#", "Weekend End Date", "Film", "Box Office"], ["9", "March 1, 1998", "Titanic", "£3,403,199"], ["7", "February 15, 1998", "Titanic", "£3,849,120"], ["11", "March 15, 1998", "Titanic", "£2,469,191"], ["8", "February 22, 1998", "Titanic", "£3,657,613"], ["15", "April 12, 1998", "Titanic", "£1,373,36... | 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:... | 13 | Answer: | 128 |
Table InputTable: [["Name", "Route number(s)", "Length (mi)", "Location", "Notes"], ["Massachusetts Turnpike", "*", "138.1", "West Stockbridge\\nto Boston", "The Mass Pike is a toll road running from the New York state border to downtown Boston. It serves as the main cross-state freeway connecting the western and easte... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 138.1 | Answer: | 128 |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["1.", "Neymar", "Santos FC", "86.0", "2013"], ["3.", "Alexis Sánchez", "Udinese", "26+11(add ons)", "2011"], ["2.", "Cesc Fàbregas", "Arsenal", "29+5(variables)", "2011"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["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:... | Neymar | Answer: | 128 |
Table InputTable: [["Year", "Team Record\\nW", "Team Record\\nL", "Playoffs"], ["2010", "5", "5", "Did Not Make Playoffs"], ["2009", "5", "5", "Did Not Make Playoffs"], ["2005", "3", "5", "Did Not Make Playoffs"], ["2004", "7", "2", "2nd Qualifier, Region 2"], ["2008", "7", "4", "2nd Qualifier, Region 2"], ["2007", "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:... | 2002 | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["29 August 1992", "Manchester City", "A", "3–3", "27,288", "Jobson, Milligan, Halle"], ["26 January 1993", "Manchester City", "H", "0–1", "14,903", ""], ["21 November 1992", "Manchester United", "A", "0–3", "33,497", ""], ["26 Septemb... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 26 | 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:... | 1986 | Answer: | 128 |
Table InputTable: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Santiago", "Karina Luisa Betances Cabrera", "21", "1.80", "Santiago de los Caballeros"], ["Santo Domingo", "Yisney Lina Lagrange Méndez", "19", "1.82", "Pedro Brand"], ["Espaillat", "Angela María García Ruíz", "26", "1.77", "Moca"], ["Azua... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["202.6 km/h (126 mph)", "1938-07-03", "UK", "LNER Class A4 No. 4468 Mallard", "Loc", "Steam", "Unkn.", "Downhill grade. Data indicates peak speed 202.6 km/h (126 mph), mean speed (half-mile) 201.2 km/h (125 mph). Mallard su... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 mph | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "3.", "7 June 2011", "Campobasso, Italy", "Clay", "Alizé Lim", "6–2, 6–4"], ["Runner-up", "8.", "9 July 2007", "Biella, Italy", "Clay", "Agnieszka Radwańska", "6–3, 6–3"], ["Winner", "4.", "20 June 2011", "Rome, Ital... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Year", "Film", "Role", "Language", "Notes"], ["2009", "Love Guru", "Kushi", "Kannada", "Filmfare Award for Best Actress - Kannada"], ["2012", "18th Cross", "Punya", "Kannada", ""], ["2010", "Krishnan Love Story", "Geetha", "Kannada", "Filmfare Award for Best Actress - Kannada\\nUdaya Award for Best... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Love Guru | Answer: | 128 |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-38", "30 January 1919", "29 March 1919", "30 July 1919", "In service during WWII\\nSold 3 March 1947"], ["PE-55", "17 March 1919", "22 July 1919", "10 October 1919", "In service during WWII\\nSold 3 March 1947"], ["PE-57", "25 Mar... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sold 29 August 1938 | Answer: | 128 |
Table InputTable: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["1", "Lord High Steward", "vacant", "Justiciar", "Lord Steward"], ["7", "Lord High Constable", "vacant", "Earl Marshal", "Master of the Horse"], ["3", "Lord High Treasurer", "in commission", "", ""], ["6", "Lord Great 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:... | Lord High Steward | Answer: | 128 |
Table InputTable: [["Week", "Date", "Result", "Record", "Opponent", "Points For", "Points Against", "First Downs", "Attendance"], ["2", "September 25", "Win", "2–0", "New York Giants", "41", "21", "25", "64,215"], ["7", "October 30", "Win", "7–0", "Detroit Lions", "37", "0", "20", "63,160"], ["9", "November 14", "Loss"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 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"], ["Addis Ababa", "934", "1:3,056", "170", "1:16,791", "3,377", "1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Season", "Winning Team", "Score", "Losing Team", "Score", "Location", "Stadium"], ["1970–71", "Baltimore Colts (1)", "27", "Oakland Raiders", "17", "Baltimore, Maryland", "Memorial Stadium"], ["2008–09", "Pittsburgh Steelers (7)", "23", "Baltimore Ravens", "14", "Pittsburgh, Pennsylvania", "Heinz 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:... | Pittsburgh Steelers | Answer: | 128 |
Table InputTable: [["Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted"], ["2", "60", "21", "82", "40", "121", "59", "92", "78", "49"], ["0", "57", "19", "108", "38", "113", "57", "91", "76", "79"], ["1", "109", "20", "125", "39", "116", "58", "37", "77", "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:... | 51 | Answer: | 128 |
Table InputTable: [["Round", "Round", "Race", "Date", "Pole Position", "Fastest Lap", "Winning Club", "Winning Team", "Report"], ["2", "R2", "Nürburgring", "September 21", "", "SC Corinthians", "PSV Eindhoven", "Azerti Motorsport", "Report"], ["6", "R2", "Jerez", "November 23", "", "Beijing Guoan", "Borussia Dortmund",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Polling Firm", "Source", "Date Published", "N.Anastasiades", "G.Lillikas", "S.Malas", "Others"], ["Prime Consulting Ltd", "[20]", "9 February 2013", "40.6%", "19.6%", "20.4%", "2.9%"], ["Prime Consulting Ltd", "[19]", "4 February 2013", "39.8%", "19.3%", "20%", "3%"], ["Prime Consulting Ltd", "[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:... | Prime Consulting Ltd | Answer: | 128 |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-19", "6 August 1918", "30 January 1919", "25 June 1919", "In service during WWII\\nDestroyed 6 August 1946"], ["PE-57", "25 March 1919", "29 July 1919", "15 October 1919", "In service during WWII\\nSold 5 March 1947"], ["PE-55", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | PE-56 | Answer: | 128 |
Table InputTable: [["Season", "Winning Team", "Score", "Losing Team", "Score", "Location", "Stadium"], ["1989–90", "Denver Broncos (4)", "37", "Cleveland Browns", "21", "Denver, Colorado", "Mile High Stadium"], ["1987–88", "Denver Broncos (3)", "38", "Cleveland Browns", "33", "Denver, Colorado", "Mile High Stadium"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Buffalo Bills | Answer: | 128 |
Table InputTable: [["President", "Became Oldest Living President", "Ceased to Be Oldest Living President", "Age at Start Date", "Age at End Date", "Duration (Years, Days)", "Duration (Days)"], ["George H. W. Bush", "December 26, 2006", "Current oldest living president", "82 years, 197 days", "Current oldest living pres... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ronald Reagan | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["14 April 2006", "Manchester United", "Old Trafford", "0–0", "72,519", ""], ["1 October 2005", "West Ham United", "Stadium of Light", "1–1", "31,212", "Miller"], ["17 April 2006", "Newcastle United", "Stadium of Light", "1–4", "40,032... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Charlton Athletic | Answer: | 128 |
Table InputTable: [["Team", "City", "Venue", "Capacity", "Head Coach", "Team Captain", "Past Season"], ["Mes Kerman", "Kerman", "Shahid Bahonar", "15,000", "Parviz Mazloomi", "Farzad Hosseinkhani", "10th"], ["Damash Gilan", "Rasht", "Sardar Jangal", "15,000", "Stanko Poklepović", "Mohammad Reza Mahdavi", "15th"], ["Per... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 0 | Answer: | 128 |
Table InputTable: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["3", "Bruno Junqueira", "Dale Coyne Racing", "69", "+8.419", "11", "26"], ["7", "Sébastien Bourdais", "N/H/L Racing", "69", "+22.955", "1", "18"], ["16", "Alex Figge", "Pacific Coast Motorsports", "68", "+ 1 Lap", "16", "5"], ["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:... | 32 | Answer: | 128 |
Table InputTable: [["Hull", "Type", "Original Name", "Original Operator", "Delivery", "Disposition (2012)", "2nd name", "2nd operator", "3rd Name", "3rd operator"], ["№ 14", "929-117", "Crystal Wing", "Kaijo Access Co.", "Jun 1994", "Active", "2002 Beetle 5", "JR Kyushu Jet Ferries", "", ""], ["№ 5", "929-117", "Nagasa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kaijo Access Co. | Answer: | 128 |
Table InputTable: [["Rank", "Diver", "Nationality", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints", "Final\\nRank"], ["5", "Nadezhda Bazhina", "Russia", "262.75", "7", "286.20", "5"], ["7", "Sharleen Stratton", "Australia", "282.45", "3", "281.65", "7"], ["30", "Alicia Blagg", "Great Britain", "212.50",... | 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:... | No | Answer: | 128 |
Table InputTable: [["Year", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1928", "8", "4", "117.031", "4", "10", "200", "33", "Running"], ["1927", "27", "27", "107.765", "22", "3", "200", "0", "Running"], ["1939", "62", "27", "121.749", "24", "11", "200", "0", "Running"], ["1933", "34", "12", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1930 | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs"], ["2009", "1", "USL W-League", "7th, Western", "Did not qualify"], ["2007", "1", "USL W-League", "5th, Western", ""], ["2011", "1", "USL W-League", "7th, Western", "Did not qualify"], ["2008", "1", "USL W-League", "6th, Western", "Did not qual... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Language", "2001 census[1]\\n(total population 1,004.59 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", ""], ["Oriya", "33,017,446", "28,061,313", "3.35%", "32.3 M"], ["Tamil", "60,793,814", "53,006,3... | 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:... | 28,061,313 | Answer: | 128 |
Table InputTable: [["Name", "Owner", "Location", "Notes", "Transmission", "Website"], ["Radio Monte Carlo", "Gruppo Finelco", "Milan", "Commercial; It is also called RMC", "FM, DVB-S", "http://www.radiomontecarlo.net"], ["Radio 24", "Il Sole 24 Ore", "Milan", "Commercial; News/Talk", "FM, DAB, DVB-S", "http://www.radio... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Material", "λ (nm)", "n"], ["Fused silica (also called Fused Quartz)", "589.29", "1.458"], ["Cubic zirconia", "", "2.15 - 2.18"], ["Pyrex (a borosilicate glass)", "", "1.470"], ["Acrylic glass", "", "1.490 - 1.492"], ["Silicon carbide", "", "2.65 - 2.69"], ["Polycarbonate", "", "1.584 - 1.586"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Zinc Oxide | Answer: | 128 |
Table InputTable: [["Date of Incident", "Offender", "Team", "Offense", "Date of Action", "Length"], ["May 6, 2012", "Claude Giroux", "Philadelphia Flyers", "Illegal hit to the head of Dainius Zubrus.", "May 7, 2012", "1 game‡ (1 post-season)"], ["April 15, 2012", "Craig Adams", "Pittsburgh Penguins", "Instigator penalt... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pittsburgh Penguins | Answer: | 128 |
Table InputTable: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2003", "Greg Sutton", "Gabriel Gervais", "David Fronimadis", "Martin Nash"], ["2004", "Gabriel Gervais", "Greg Sutton", "Zé Roberto", "Sandro Grande"], ["2002", "Eduardo Sebrango", "Gabriel Gervais", "Jason DiTu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2002 | Answer: | 128 |
Table InputTable: [["Wrestler:", "Times:", "Date:", "Location:", "Notes:"], ["Tigers Mask", "4", "May 19, 2013", "Osaka, Japan", "Defeated Billyken Kid in the finals of a four-man tournament to win the vacant title."], ["Super Delfin", "1", "January 4, 2000", "Tokyo, Japan", "Beat Dick Togo for the championship"], ["As... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Billyken Kid | Answer: | 128 |
Table InputTable: [["Season/Torneo", "Jornada or Other", "Home Team", "Result", "Away Team", "Stadium", "Date"], ["1983–1984 season", "21", "América", "1–1", "Chivas", "Estadio Azteca", "22 January 1984"], ["1984–1985 season", "13", "América", "0–0", "Chivas", "Estadio Azteca", "11 December 1984"], ["1988–1989 season",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 11 | Answer: | 128 |
Table InputTable: [["Year", "Chassis", "Engine", "Start", "Finish", "Team"], ["2007", "Dallara", "Honda", "1", "3", "Team Penske"], ["2009", "Dallara", "Honda", "1", "1", "Team Penske"], ["2013", "Dallara", "Chevrolet", "8", "6", "Team Penske"], ["2001", "Dallara", "Oldsmobile", "11", "1", "Team Penske"], ["2006", "Dal... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1928", "8", "4", "117.031", "4", "10", "200", "33", "Running"], ["1933", "34", "12", "113.578", "15", "7", "200", "0", "Running"], ["1934", "8", "7", "113.733", "13", "17", "94", "0", "Rod"], ["1930", "9", "20", "100.033"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Writing", "Eraser-Bot", "Sumerians", "3,500 B.C.", "Middle East", "Pencil Man"], ["Sausage", "Sock-Bot", "Babylonians", "3,000 B.C.", "Middle East", "Sock Man"], ["Boomerang", "Oswald the Mailman Robot", "Aborigines", "40,000 yea... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Middle East | Answer: | 128 |
Table InputTable: [["Conference", "# of Bids", "Record", "Win %", "Round\\nof 32", "Sweet\\nSixteen", "Elite\\nEight", "Final\\nFour", "Championship\\nGame"], ["Big East", "2", "5–2", ".714", "2", "2", "1", "–", "–"], ["Southeastern", "6", "10–6", ".625", "5", "3", "1", "1", "–"], ["Big Eight", "4", "3–4", ".429", "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: [["Model", "Volume", "Engine", "Fuel", "Power/Torque", "Years produced", "Produced"], ["740d", "3.9L", "M67D40 turbocharged V8", "Diesel", "180 kW (245 PS; 241 hp) / 560 N·m (413 lb·ft)", "1998–2001", "3450"], ["730d", "2.9L", "M57D30 turbocharged I6", "Diesel", "142 kW (193 PS; 190 hp) / 410 N·m (302... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | M57D30 turbocharged I6, M67D40 turbocharged V8 | Answer: | 128 |
Table InputTable: [["#", "Date", "Location", "Winner", "Score\\nJSU", "Score\\nTU", "Series"], ["8", "November 11, 1938", "Jacksonville, AL", "Tied", "6", "6", "TSU 4–3–1"], ["6", "November 10, 1933", "Jacksonville, AL", "Troy State", "7", "18", "Tied 3–3"], ["38", "November 11, 1972", "Jacksonville, AL", "Tied", "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:... | 6 | Answer: | 128 |
Table InputTable: [["Team", "City", "Venue", "Capacity", "Head Coach", "Team Captain", "Past Season"], ["Persepolis", "Tehran", "Azadi", "90,000", "Nelo Vingada", "Karim Bagheri", "Champion"], ["Aboomoslem", "Mashhad", "Samen", "35,000", "Ali Hanteh", "Saeed Khani", "4th"], ["Foolad", "Ahvaz", "Takhti Ahvaz", "15,000",... | 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:... | Aboomoslem | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs"], ["2006", "1", "USL W-League", "5th, Western", ""], ["2007", "1", "USL W-League", "5th, Western", ""], ["2005", "1", "USL W-League", "6th, Western", ""], ["2013", "1", "USL W-League", "4th, Western", "Did not qualify"], ["2008", "1", "USL W-Le... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "Commonwealth Games", "Melbourne, Australia", "4th", "Discus throw", "60.99 m"], ["2003", "All-Africa Games", "Abuja, Nigeria", "2nd", "Discus throw", "62.86 m"], ["2004", "African Championships", "Brazzaville, Republic of the 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:... | 63.50 m | Answer: | 128 |
Table InputTable: [["Year", "Network", "NASCAR\\nCountdown", "Lap-by-lap", "Color commentator(s)", "Pit reporters", "Ratings", "Viewers"], ["2010", "ESPN", "Allen Bestwick\\nRusty Wallace\\nBrad Daugherty\\nRay Evernham", "Marty Reid", "Dale Jarrett\\nAndy Petree", "Dave Burns\\nJamie Little\\nJerry Punch\\nVince Welch... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2007 | Answer: | 128 |
Table InputTable: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["6", "9", "Prisoners Of Planet X", "A UFO has been sighted. The pilot abducts the Fantastic Four from the Science Center and is setting course for Planet X. There, their dictator Kurrgo requests the Fantastic Four save their planet from another pl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Danger In The Depths | Answer: | 128 |
Table InputTable: [["Event", "Record", "Athlete", "Date", "Meet", "Place"], ["Half marathon", "1:00:28 #", "Germán Silva", "24 September 1994", "World Half Marathon Championships", "Oslo, Norway"], ["20 km (road)", "58:26+ #", "Juan Carlos Romero", "11 October 2009", "World Half Marathon Championships", "Birmingham, Un... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1:00:28 | Answer: | 128 |
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