context stringlengths 362 4.81k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | max_new_tokens int64 128 128 | answer_prefix stringclasses 1
value |
|---|---|---|---|---|
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2007", "World Championships", "Osaka, Japan", "15th (sf)", "400 m hurdles", "49.37"], ["2005", "World Championships", "Helsinki, Finland", "17th (sf)", "400 m hurdles", "49.75"], ["2005", "World Championships", "Helsinki, Finland", "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:... | Japan | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Nation", "Swimmers", "Time", "Time behind", "Notes"], ["", "4", "United States", "Michael Phelps (1:46.49)\\nRyan Lochte (1:47.52)\\nPeter Vanderkaay (1:47.79)\\nKlete Keller (1:45.53)", "7:07.33", "", "AM"], ["", "5", "Australia", "Grant Hackett (1:47.50)\\nMichael Klim (1:47.62)\\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Apostolos Antonopoulos | 128 | Answer: |
Table InputTable: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Nadine Trinker", "21", "183 cm (6 ft 0 in)", "Bodensdorf", "Eliminated in Episode 9"], ["Isabelle Raisa", "16", "170 cm (5 ft 7 in)", "Vienna", "Eliminated in Episode 1"], ["Nataša Marić", "16", "175 cm (5 ft 9 in)", "Liefering (originally from ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Nadine Trinker | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["9", "Ben Hogan", "United States", "75-71-72-72=290", "+2", "125"], ["6", "Craig Wood", "United States", "72-73-71-68=284", "–4", "300"], ["5", "Gene Sarazen", "United States", "73-66-72-72=283", "–5", "400"], ["1", "Ralph Guldahl", "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:... | $1,500 | 128 | Answer: |
Table InputTable: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Tools", "Hank the Handyman Robot", "Stone-Age Humans", "2½ million years ago", "Africa", "Mechanic"], ["Boomerang", "Oswald the Mailman Robot", "Aborigines", "40,000 years ago", "Australia", "Mailman"], ["Saxophone", "Bongo-Bot 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:... | 2 | 128 | Answer: |
Table InputTable: [["Episode", "Show #", "Iron Chef", "Challenger", "Challenger specialty", "Secret ingredient(s) or theme", "Winner", "Final score"], ["7", "IA0510", "Mario Batali", "Charles Clark", "New American", "Halibut", "Mario Batali", "51-50"], ["6", "IA0506", "Bobby Flay", "Kurt Boucher", "French-American", "A... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Year", "Name", "Label", "Hot Black Singles", "Club Play Singles"], ["1986", "\"Say It Again\"", "Spring", "―", "―"], ["1986", "\"Say It Again\"", "Spring", "―", "―"], ["1984", "\"Thin Line\"", "Power House", "―", "―"], ["1983", "\"I Need You Now\"", "Jive", "―", "―"], ["1987", "\"Send It C.O.D.\"",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Thin Line" | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["2", "22", "Mike Parkes", "Ferrari", "48", "+ 9.5", "3", "6"], ["5", "26", "Dan Gurney", "Eagle-Climax", "45", "+ 3 laps", "14", "2"], ["Ret", "16", "Graham Hill", "BRM", "13", "Engine", "8", ""], ["NC", "20", "Lorenzo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Brabham-Repco | 128 | Answer: |
Table InputTable: [["Number", "Name", "Service", "From", "To"], ["(Acting)", "MG John F. Williams", "USA", "January 31, 1944", "January 31, 1946"], ["4", "MG William A. Mann", "USA", "October 26, 1916", "November 26, 1917"], ["(Acting)", "COL John F. Williams", "USA", "January 17, 1936", "January 30, 1936"], ["11", "MG... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | William A. Mann | 128 | Answer: |
Table InputTable: [["Season", "Conference", "Head Coach", "Total Wins", "Total Losses", "Total Ties", "Conference Wins", "Conference Losses", "Conference Ties", "Conference Standing", "Postseason Result"], ["1992", "Southern", "Charlie Taaffe", "11", "2", "0", "6", "1", "0", "1", "Quarterfinals"], ["1988", "Southern", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Charlie Taaffe | 128 | Answer: |
Table InputTable: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Deaths Outside of Prisons & Camps", "", "42,000", "71,000", "142,000", "218,000", "", "473,000"], ["Deaths In Prisons & Camps", "69,000", "210,000", "220,000", "266,000", "381,000", "", "1,146,000"], ... | 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:... | 1943/44 | 128 | Answer: |
Table InputTable: [["No.", "Date", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["4.", "August 8, 2011", "Peru F1", "Clay", "Sergio Galdós", "Martín Cuevas\\n Guido Pella", "6–4, 6–0"], ["2.", "April 4, 2011", "Chile F2", "Clay", "Sergio Galdós", "Guillermo Hormazábal\\n Rodrigo Pérez", "5–... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Clay | 128 | Answer: |
Table InputTable: [["Result", "Date", "Category", "Tournament", "Surface", "Partnering", "Opponents", "Score"], ["Winner", "20 May 1984", "$150,000", "Berlin, Germany", "Clay", "Candy Reynolds", "Kathy Horvath\\n Virginia Ruzici", "6–3, 4–6, 7–6(13–11)"], ["Winner", "23 January 1984", "$50,000", "Denver, United States"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["9", "October 8", "Laguna Seca", "Greg Pickett", "Chevrolet Corvette", "Bob Tullius", "Jaguar XJS"], ["8", "September 4", "Road America", "Greg Pickett", "Chevrolet Corvett... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Tullius | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Nationality", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints", "Final\\nRank"], ["4", "Maria Marconi", "Italy", "264.25", "6", "290.15", "4"], ["6", "Abby Johnston", "United States", "282.40", "4", "282.85", "6"], ["26", "Choi Sut Ian", "Macau", "224.50", "26", "", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7.3 | 128 | Answer: |
Table InputTable: [["Model", "Volume", "Engine", "Fuel", "Power/Torque", "Years produced", "Produced"], ["740i", "4.4L", "M62TUB44 V8", "Petrol", "210 kW (286 PS; 282 hp) / 440 N·m (325 lb·ft)", "1998–2001", ""], ["740i", "4.0L", "M60B40 V8", "Petrol", "210 kW (286 PS; 282 hp) / 400 N·m (295 lb·ft)", "1994–1996", ""], ... | 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:... | 4.0L | 128 | Answer: |
Table InputTable: [["Date", "Competition", "Location", "Country", "Event", "Placing", "Rider", "Nationality"], ["2 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Team sprint", "1", "Ross Edgar", "GBR"], ["2 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Team sprint", "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 November 2009 | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["4", "Max Biaggi", "Honda", "+2.346", "13"], ["21", "Adrian Bosshard", "Honda", "+1:47.492", ""], ["13", "Jochen Schmid", "Yamaha", "+47.065", "3"], ["Ret", "Volker Bähr", "Honda", "Retirement", ""], ["2", "Loris Capirossi", "Honda", "+0.090... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Honda | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["4", "Tohru Ukawa", "Honda", "+0.537", "13"], ["22", "Rudie Markink", "Aprilia", "+1:40.280", ""], ["Ret", "Roberto Rolfo", "Aprilia", "Retirement", ""], ["3", "Jeremy McWilliams", "Aprilia", "+0.534", "16"], ["13", "Tomomi Manako", "Yamaha... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jeremy McWilliams | 128 | Answer: |
Table InputTable: [["DATE", "OPPONENT", "SCORE", "TOP SCORER (Total points)", "VENUE"], ["March 9", "SHELL", "65-58", "", "PHILSPORTS ARENA"], ["June 24", "SHELL", "94-82", "", "ARANETA COLISEUM"], ["February 7 All-Filipino Cup", "SHELL", "76-60", "", "PHILSPORTS ARENA"], ["October 14", "SHELL", "68-62", "", "YNARES CE... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["1", "2", "Menace Of The Mole Men", "The Fantastic Four are off to carry out their experiments on a remote island. The Mole Man, however, has been waiting for them and traps them in a radiation field and plans to submerge the world’s largest citie... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["William C. Canby, Jr.", "1958", "1959", "Minnesota (1956)", "none"], ["Jerome B. Libin", "1959", "1960", "Michigan (1959)", "none"], ["Alan C. Kohn", "1957", "1958", "Wash U (1955)", "none"], ["Heywood H. Davis", "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:... | Alan C. Kohn | 128 | Answer: |
Table InputTable: [["Player", "No.", "Nationality", "Position", "Years for Jazz", "School/Club Team"], ["Terry Furlow", "25", "United States", "Guard/Forward", "1979-80", "Michigan State"], ["Jim Farmer", "30", "United States", "Guard", "1988-89", "Alabama"], ["Todd Fuller", "52", "United States", "Center", "1998-99", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kyrylo Fesenko | 128 | Answer: |
Table InputTable: [["Date", "Rnd", "Race Name", "Circuit", "City/Location", "Pole position", "Winning driver", "Winning team", "Report"], ["NC", "October 6", "Marlboro Challenge", "Nazareth Speedway", "Nazareth, Pennsylvania", "Michael Andretti", "Rick Mears", "Team Penske", "Report"], ["15", "October 7", "Bosch Spark ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Galles-Kraco Racing | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2.", "United States", "9", "3", "6", "18"], ["3.", "China", "1", "9", "8", "18"], ["1.", "Brazil", "21", "9", "12", "42"], ["8.", "Russia", "0", "2", "3", "5"], ["9.", "Argentina", "0", "2", "0", "2"], ["12.", "Austria", "0", "0", "1", "1"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["No. in\\nseries", "No. in\\nseason", "Title", "Directed by", "Written by", "Original air date", "Prod.\\ncode"], ["1", "14", "\"Affair in T'Sien Cha\"", "Sheldon Leonard", "Morton Fine & David Friedkin", "December 29, 1965", "114"], ["5", "2", "\"A Cup of Kindness\"", "Leo Penn", "Morton Fine & Dav... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["Year", "Song", "Album", "Position", "Chart"], ["1991", "\"Gentle\"", "Swingin'", "31", "Billboard Hot 100"], ["1989", "\"Sunshine\"", "24/7", "23", "Billboard Hot 100"], ["1990", "\"Romeo\"", "Swingin'", "6", "Billboard Hot 100"], ["1993", "\"Ooh Child\"", "The Way I Am", "27", "Billboard Hot 100"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "I Like It" | 128 | Answer: |
Table InputTable: [["isn", "name", "arrival\\ndate", "departure\\ndate", "notes"], ["674", "Timur Ravilich Ishmurat", "2002-06-14", "2004-02-27", "Repatriated to Russia.\\nReported to have been repatriated on 24 February 2004, as \"Timur Ravilich Ismurat\", with six other Russian men.\\nAlleged to have played a role in... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Rank", "Player", "Nation", "Club", "Goals"], ["1", "Jhonny Arteaga", "COL", "FC New York", "13"], ["2", "Matthew Delicâte", "ENG", "Richmond Kickers", "10"], ["3", "José Angulo", "USA", "Harrisburg City Islanders", "9"], ["6", "Andrew Welker", "USA", "Harrisburg City Islanders", "8"], ["6", "Jamie ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jhonny Arteaga | 128 | Answer: |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["2.", "Cesc Fàbregas", "Arsenal", "29+5(variables)", "2011"], ["3.", "Alexis Sánchez", "Udinese", "26+11(add ons)", "2011"], ["1.", "Neymar", "Santos FC", "86.0", "2013"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["5... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Opus", "Title", "Subdivisions", "Compo-sition", "Première date", "Place, theatre"], ["16", "Wahnopfer", "3 acts", "1928", "1994", "Rudolstadt, Heidecksburg only libretto and Act 1 finished"], ["3", "Der Kobold", "3 acts", "1903", "29 January 1904", "Hamburg, Stadttheater"], ["5", "Sternengebot", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Departure", "Going to", "Calling at", "Arrival", "Operator"], ["13.48", "Grantham", "Rauceby, Ancaster, Honington", "14.21", "GNR"], ["18.51", "Grantham", "Rauceby, Ancaster, Honington, Barkston", "19.28", "GNR"], ["11.34", "Grantham", "Rauceby, Ancaster, Barkston, Honington", "12.05", "GNR"], ["09... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 08.17 | 128 | Answer: |
Table InputTable: [["No.", "Date", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["2.", "April 4, 2011", "Chile F2", "Clay", "Sergio Galdós", "Guillermo Hormazábal\\n Rodrigo Pérez", "5–7, 7–6(5), [10–5]"], ["8.", "October 8, 2012", "Chile F8", "Clay", "Gustavo Sterin", "Cristóbal Saavedra-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:... | September, October | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "Commonwealth Games", "Melbourne, Australia", "7th", "400 m hurdles", "50.51"], ["2008", "Olympic Games", "Beijing, China", "12th (sf)", "400 m hurdles", "49.44"], ["2007", "All-Africa Games", "Algiers, Algeria", "2nd", "400 m 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:... | Beijing, China | 128 | Answer: |
Table InputTable: [["Season", "Winning Team", "Score", "Losing Team", "Score", "Location", "Stadium"], ["1973–74", "Miami Dolphins (3)", "27", "Oakland Raiders", "10", "Miami, Florida", "Miami Orange Bowl"], ["1985–86", "New England Patriots (1)", "31", "Miami Dolphins", "14", "Miami, Florida", "Miami Orange Bowl"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["1989", "Real Zaragoza", "Club de Fútbol Atlante", "Aragon", "-"], ["2006", "Real Zaragoza", "Associazione Sportiva Livorno Calcio", "-", "-"], ["1988", "Club Atlético Peñarol", "Real Zaragoza", "-", "-"], ["2005", "Real Zaragoza", "Real Madrid 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:... | 1979 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "France", "14", "7", "7", "28"], ["7", "Algeria", "2", "0", "2", "4"], ["2", "Italy", "12", "8", "10", "30"], ["4", "Spain", "4", "14", "6", "24"], ["8", "Croatia", "0", "3", "3", "6"], ["6", "Tunisia", "3", "0", "0", "3"], ["5", "Greece"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["27 Nov 1920", "Swindon Town", "A", "0–5", "", "7,000"], ["18 Sep 1920", "Plymouth Argyle", "H", "0–0", "", "8,000"], ["9 Sep 1920", "Bristol Rovers", "H", "0–2", "", "8,000"], ["21 Oct 1920", "Swindon Town", "H", "0–1", "", "10,000"... | 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:... | 17 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["21", "South Korea", "0", "0", "1", "1"], ["17", "Australia", "0", "1", "0", "1"], ["17", "Sweden", "0", "1", "0", "1"], ["17", "Czechoslovakia", "0", "1", "0", "1"], ["2", "United States", "22", "18", "11", "51"], ["17", "Greece", "0", "1", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Soviet Union | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Winner", "1.", "13 February 2011", "Rancho Mirage, United States", "Hard", "Karolína Plíšková", "Nadejda Guskova\\n Sandra Zaniewska", "6–7(6–8), 6–1, 6–4"], ["Runner-up", "4.", "17 September 2012", "Shrewsbury, U... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Sabinsville", "1", "Tioga County", "16943", ""], ["Sabula", "1", "Clearfield County", "15801", ""], ["Saville", "1", "Perry County", "17074", ""], ["Schweibinzville", "1", "Somerset County", "", ""], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | 128 | Answer: |
Table InputTable: [["Single / EP", "Tracks", "Label", "Year", "Album"], ["2012 – Remix Contest EP", "2012 (Remastered)", "Burn The Fire", "2012", "The Agenda"], ["Breakdown", "Breakdown", "Burn The Fire", "2009", "—"], ["Doin' It Right", "Doin' It Right", "Burn The Fire", "2009", "—"], ["Fresh Attire Vol. 3", "Crush Gr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2009 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Record", "TV Time", "Attendance"], ["13", "December 9, 2001", "San Francisco 49ers", "W 27–14", "10–2", "FOX 12:00pm", "66,218"], ["16", "December 30, 2001", "Indianapolis Colts", "W 42–17", "13–2", "CBS 12:00pm", "66,084"], ["2", "September 23, 2001", "at San ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS R&B", "Peak chart positions\\nUS Rap", "Album"], ["\"Gotta Believe It\"\\n(featuring Just Blaze)", "2009", "—", "—", "—", "Warning Shots 2"], ["\"Pain In My Life\"\\n(featuring Trey Songz)", "2006", "—", "—", "—", "N/A"], ["\"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:... | 1 | 128 | Answer: |
Table InputTable: [["Name", "Topic", "Cost", "Target age", "Advertising"], ["Ask A Biologist", "Biology", "Free", "5+", "None"], ["Archimedes-lab.org", "Mathematics", "Free", "10+", "Yes - limited"], ["LearnAlberta.ca", "Everything (mainly aimed at teachers)", "Free", "5-18", "No"], ["Awesome Library", "All", "Free", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ask A Biologist | 128 | Answer: |
Table InputTable: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["6", "Lord Great Chamberlain", "The Marquess of Cholmondeley", "Lord High Treasurer", "Lord Chamberlain"], ["9", "Lord High Admiral", "HRH The Duke of Edinburgh", "", ""], ["2", "Lord High Chancellor", "The Rt Hon Chris... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Treasurer | 128 | Answer: |
Table InputTable: [["Representative", "Title", "Presentation\\nof Credentials", "Termination\\nof Mission", "Appointed by"], ["Larry Leon Palmer", "Ambassador Extraordinary and Plenipotentiary", "2012", "incumbent", "Barack Obama"], ["Jeanette W. Hyde", "Ambassador Extraordinary and Plenipotentiary", "April 4, 1995", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | George W. Bush | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["14", "December 19, 1987", "at Denver Broncos", "L 20–17", "75,053"], ["7", "November 1, 1987", "at Chicago Bears", "L 31–28", "63,498"], ["1", "September 13, 1987", "San Diego Chargers", "W 20–13", "56,940"], ["6", "October 25, 1987", "at San Di... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Denver Broncos | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2002", "European Championships", "Munich, Germany", "26th", "60.28 m"], ["2012", "European Championships", "Helsinki, Finland", "2nd", "73.34 m"], ["2009", "World Student Games", "Belgrade, Serbia", "2nd", "72.85 m"], ["2006", "European Champio... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Common name", "District", "Hebrew", "Arabic", "Population\\n(2009)", "Area\\n(km²)", "Mayor"], ["Safed", "North", "צפת", "صفد", "29,500", "29.248", "Ilan Shohat"], ["Migdal HaEmek", "North", "מגדל העמק", "مجدال هعيمق", "23,900", "7.637", "Eliyahu Barda"], ["Nazareth", "North", "נצרת", "الناصرة", "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:... | 16 | 128 | Answer: |
Table InputTable: [["Team", "Chassis", "Engine", "Tires", "No", "Drivers"], ["All American Racing", "Reynard 98i\\nEagle 987", "Toyota", "Goodyear", "98", "P. J. Jones\\n Vincenzo Sospiri"], ["All American Racing", "Reynard 98i\\nEagle 987", "Toyota", "Goodyear", "36", "Alex Barron"], ["Arciero-Wells Racing", "Reynard ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alex Zanardi | 128 | Answer: |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-12", "13 July 1918", "12 November 1918", "6 November 1919", "Sold 30 December 1935"], ["PE-47", "3 March 1919", "19 June 1919", "4 October 1919", "Sold 30 December 1935"], ["PE-43", "17 February 1919", "17 May 1919", "2 October 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:... | PE-60 | 128 | Answer: |
Table InputTable: [["Period", "Live births per year", "Deaths per year", "Natural change per year", "CBR*", "CDR*", "NC*", "TFR*", "IMR*"], ["1970-1975", "263 000", "121 000", "142 000", "55.8", "25.6", "30.2", "7.52", "162"], ["1965-1970", "229 000", "105 000", "124 000", "56.2", "25.8", "30.4", "7.32", "164"], ["1975... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Saxophone", "Bongo-Bot the Six-Armed Robot", "Antoine-Joseph Sax", "1846", "France", "Six-Armed Drum Player"], ["Boomerang", "Oswald the Mailman Robot", "Aborigines", "40,000 years ago", "Australia", "Mailman"], ["Bicycle", "Boos... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Date", "Location", "Air/Ground", "Number", "Type", "Status"], ["18 August 1944", "20 miles northeast of Paris, France", "Air", "0.5", "Me-109", "Destroyed"], ["27 November 1944", "South of Magdeburg, Germany", "Air", "4", "FW-190", "Destroyed"], ["13 April 1944", "West of Mannheim, Germany", "Air",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Rnd", "Circuit", "GTP Winning Team\\nGTP Winning Drivers", "GTO Winning Team\\nGTO Winning Drivers", "GTU Winning Team\\nGTU Winning Drivers", "Results"], ["14", "Pocono", "#14 Holbert Racing", "#65 English Enterprises", "#87 Performance Motorsports", "Results"], ["14", "Pocono", "Al Holbert\\n Der... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "4.", "18 June 2011", "Aegon International, United Kingdom", "Grass", "Andreas Seppi", "6–7(5–7), 6–3, 3–5 ret."], ["Runner-up", "3.", "27 February 2011", "International Tennis Championships, United States", "Hard... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Iteration", "Year", "Dates", "Location", "Theme"], ["5th", "1988", "14 August-24 August", "Townsville, Australia", "\"Cultural interchange\""], ["1st", "1972", "6 May-20 May", "Suva, Fiji", "\"Preserving culture\""], ["2nd", "1976", "6 March-13 March", "Rotorua, New Zealand", "\"Sharing culture\""]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tumon, Guam | 128 | Answer: |
Table InputTable: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["4", "Marilyn Musgrave", "Re-election", "Betsy Markey", "Marilyn Musgrave"], ["1", "Diana DeGette", "Re-election", "Diana DeGette", "George Lilly"], ["5", "D... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ed Perlmutter | 128 | Answer: |
Table InputTable: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Santo Domingo", "Yisney Lina Lagrange Méndez", "19", "1.82", "Pedro Brand"], ["Peravia", "Mariela Joselin Rosario Jiménez", "25", "1.86", "Santo Domingo"], ["Espaillat", "Angela María García Ruíz", "26", "1.77", "Moca"], ["Azua", "Alicia 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:... | 2 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "Commonwealth Games", "Melbourne, Australia", "7th", "Shot put", "18.44 m"], ["2006", "Commonwealth Games", "Melbourne, Australia", "4th", "Discus throw", "60.99 m"], ["2004", "African Championships", "Brazzaville, Republic of 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:... | 7 | 128 | Answer: |
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)", "Senator", "Party", "Electoral\\nhistory", "Most recent election results", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Specifications", "Foundation", "Essentials", "Standard", "Datacenter"], ["Memory limit", "32 GB", "64 GB", "4 TB", "4 TB"], ["Windows Server Update Services", "No", "Yes", "Yes", "Yes"], ["Licensing model", "Per server", "Per server", "Per CPU pair + CAL", "Per CPU pair + CAL"], ["File Services lim... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["1", "Loris Capirossi", "Honda", "38:04.730", "25"], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["8", "Stefano Perugini", "Honda", "+20.891", "8"], ["16", "Luca Boscoscuro", "TSR-Honda", "+56.432", ""], ["12", "Sebastian Porto", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 25 | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["4", "83", "Calvin Roberts", "", "United States", "California State-Fullerton"], ["1", "15", "Reggie Johnson", "PF/C", "United States", "Tennessee"], ["6", "129", "Dean Uthoff", "", "United States", "Iowa State"], ["2", "39"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Michael Miley | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Game site", "NFL Recap", "Attendance"], ["12", "November 23, 1986", "at Washington Redskins", "L 14–41", "RFK Stadium", "[12]", "55,642"], ["13", "November 27, 1986", "Seattle Seahawks", "L 14–31", "Texas Stadium", "[13]", "58,020"], ["11", "November 16, 1986",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Texas Stadium | 128 | Answer: |
Table InputTable: [["Name", "Location", "Date established", "Area", "Description"], ["Katmai", "Alaska\\n58°30′N 155°00′W / 58.50°N 155.00°W", "December 2, 1980", "3,674,529.68 acres (14,870.3 km2)", "This park on the Alaska Peninsula protects the Valley of Ten Thousand Smokes, an ash flow formed by the 1912 eruption... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 59 | 128 | Answer: |
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:... | George Washington | 128 | Answer: |
Table InputTable: [["Common name", "Binomial nomenclature", "Colour", "Density ¹", "Location", "Characteristics, Usage and Status"], ["Aini or Aangili", "Artocarpus hirsutus", "Yellowish brown", "595 kg/m³", "Maharashtra, Andhra Pradesh, Tamil Nadu, Karnataka, Kerala", "Elastic, close-grained, and strong. It takes poli... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["2.", "Cesc Fàbregas", "Arsenal", "29+5(variables)", "2011"], ["3.", "Alexis Sánchez", "Udinese", "26+11(add ons)", "2011"], ["1.", "Neymar", "Santos FC", "86.0", "2013"], ["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:... | Alexis Sánchez | 128 | Answer: |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 19", "at Iowa State*", "", "Cyclone Stadium • Ames, IA (Cy-Hawk Trophy)", "", "L 12-23", "53,922"], ["November 21", "Michigan State", "#19", "Kinnick Stadium • Iowa City, IA", "", "W 36-7", "60,103"], ["September 26", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | UCLA | 128 | Answer: |
Table InputTable: [["No. in\\nseason", "No. in\\nseries", "Title", "Canadian airdate", "US airdate", "Production code"], ["39", "356", "\"Thunderstruck\" Part One", "July 29, 2014", "July 29, 2014", "1339"], ["29", "346", "\"Sparks Will Fly\" Part One", "April 15, 2014", "April 15, 2014", "1329"], ["17", "334", "\"The ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 11, 2013 | 128 | Answer: |
Table InputTable: [["Route Number", "Route", "Via", "Operator", "Operation"], ["W14", "Leyton Asda to Woodford Bridge", "South Woodford , Wanstead , Leytonstone", "Arriva London", "Daily. London Buses service. Times"], ["145", "Leytonstone to Dagenham Asda", "Redbridge , Ilford, Becontree", "Stagecoach London", "Daily.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 27 | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Runner-up", "1.", "16 May 2010", "Kurume, Japan", "Clay", "Karolína Plíšková", "Sun Shengnan\\n Xu Yifan", "0–6, 3–6"], ["Runner-up", "2.", "6 November 2011", "Taipei 5, Taiwan", "Hard", "Karolína Plíšková", "Chan... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 May 2010 | 128 | Answer: |
Table InputTable: [["Episode", "Show #", "Iron Chef", "Challenger", "Challenger specialty", "Secret ingredient(s) or theme", "Winner", "Final score"], ["7", "IA0510", "Mario Batali", "Charles Clark", "New American", "Halibut", "Mario Batali", "51-50"], ["2", "IA0508", "Mario Batali", "Tony Liu", "Pan-European", "Opah",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["2014", "22 Dec 2013", "Val-d'Isère, France", "Giant slalom", "1st"], ["2014", "25 Jan 2014", "Cortina d'Ampezzo, Italy", "Downhill", "3rd"], ["2014", "24 Jan 2014", "Cortina d'Ampezzo, Italy", "Downhill", "2nd"], ["2014", "1 Dec 2013", "Beaver ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2013 | 128 | Answer: |
Table InputTable: [["Pick #", "NFL Team", "Player", "Position", "College"], ["1", "Baltimore Colts (Lottery bonus pick)", "George Shaw", "Quarterback", "Oregon"], ["3", "Baltimore Colts", "Alan Ameche", "Fullback", "Wisconsin"], ["9", "Philadelphia Eagles", "Dick Bielski", "Fullback", "Maryland"], ["5", "Green Bay Pack... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["#", "Title", "Time", "Lyrics", "Music", "Producer(s)", "Performer(s)"], ["12", "\"Red Mist\"", "3:54", "Boondox", "Mike E. Clark", "Boondox", "Boondox\\nBlaze Ya Dead Homie\\nTwiztid"], ["9", "\"The Harvest\"", "3:53", "Boondox\\nAMB", "Kuma", "Boondox\\nAMB", "Boondox\\nAxe Murder Boyz"], ["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:... | "Seven" | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Germany", "19", "28", "31", "78"], ["1", "China", "63", "46", "32", "141"], ["10", "Japan", "17", "16", "20", "53"], ["5", "Australia", "26", "38", "36", "100"], ["2", "Great Britain", "35", "30", "29", "94"], ["9", "France", "18", "26",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | China | 128 | Answer: |
Table InputTable: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["52", "122", "Sachin Tendulkar (1/2)", "India", "233", "2", "Zimbabwe", "18 November 2000", "Won"], ["54", "109", "Sachin Tendulkar (2/2)", "India", "196", "1", "Sri Lanka", "10 December 2005", "Won"], ["51", "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:... | 2 | 128 | Answer: |
Table InputTable: [["Player", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Milicic", "2", "-", "-", "2"], ["Zdrilic", "1", "-", "-", "1"], ["Bresciano", "2", "-", "1", "3"], ["Colosimo", "1", "-", "-", "1"], ["Chipperfield", "1", "-", "1", "2"], ["Elrich", "1", "-", "-", "1"], ["Vi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Olympics", "Athlete", "Judge (Official)", "Coach", "Language"], ["1984 Summer Olympics", "Edwin Moses", "Sharon Weber", "-", "English"], ["2000 Summer Olympics", "Rechelle Hawkes", "Peter Kerr", "-", "English"], ["1976 Summer Olympics", "Pierre St.-Jean", "Maurice Fauget", "-", "French (St.-Jean)/E... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 44 | 128 | Answer: |
Table InputTable: [["Season", "Series", "Team", "Races", "Wins", "Poles", "F/Laps", "Podiums", "Points", "Position"], ["2012", "Formula 3 Euro Series", "Angola Racing Team", "21", "0", "0", "0", "0", "14", "14th"], ["2008", "Asian Formula Renault Challenge", "Champ Motorsports", "13", "0", "0", "0", "3", "193", "4th"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Champ Motorsports, Krenek Motorsport, Angola Racing Team, Carlin | 128 | Answer: |
Table InputTable: [["Event", "Record", "Athlete", "Date", "Meet", "Place"], ["400 m", "44.31", "Alejandro Cárdenas", "26 August 1999", "World Championships", "Seville, Spain"], ["Half marathon", "1:00:28 #", "Germán Silva", "24 September 1994", "World Half Marathon Championships", "Oslo, Norway"], ["4x400 m relay", "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:... | 44.31 | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Name", "Country", "Time", "Time behind"], ["7", "16", "Yevgeny Lalenkov", "Russia", "1:09.46", "+0.57"], ["10", "6", "Dmitry Dorofeyev", "Russia", "1:09.74", "+0.85"], ["15", "13", "Alexey Proshin", "Russia", "1:10.14", "+1.25"], ["21", "15", "Aleksandr Kibalko", "Russia", "1:10.50"... | 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:... | Yevgeny Lalenkov | 128 | Answer: |
Table InputTable: [["Route", "Name", "Fare Type", "Terminals", "Terminals", "Major streets", "Notes", "History"], ["32, 36", "Pennsylvania Avenue Line", "Local", "Friendship Heights station", "32 Southern Avenue station\\n36 Naylor Road station", "Wisconsin Avenue NW\\nPennsylvania Avenue SE/NW\\nBranch Avenue SE (36)\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Benning Road-H Street Metro Extra Line | 128 | Answer: |
Table InputTable: [["Year", "Premiers", "Score", "Runners Up", "Score"], ["2012", "Cairns Saints", "17.6 (108)", "North Cairns Tigers", "11.12 (78)"], ["2008", "Cairns Saints", "12.15 (87)", "North Cairns Tigers", "2.9 (21)"], ["2007", "Centrals Trinity Beach Bulldogs", "14.16 (100)", "Cairns Saints", "11.2 (68)"], ["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:... | North Cairns Tigers | 128 | Answer: |
Table InputTable: [["Period", "Live births per year", "Deaths per year", "Natural change per year", "CBR*", "CDR*", "NC*", "TFR*", "IMR*"], ["1950-1955", "139 000", "66 000", "74 000", "52.6", "24.8", "27.8", "6.86", "174"], ["1990-1995", "471 000", "192 000", "279 000", "55.5", "22.7", "32.8", "7.78", "146"], ["1970-1... | 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:... | 2000-2005 | 128 | Answer: |
Table InputTable: [["Rank", "Island", "Area\\n(km²)", "Area\\n(sq mi)", "Country/Countries/Region"], ["213", "Santa Maria Island", "97", "37", "Portugal"], ["273", "Graciosa Island", "62", "24", "Portugal"], ["226", "Öja (island)", "90", "35", "Finland"], ["217", "Borðoy", "95", "37", "Faroe Islands, an autonomous regi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Team 1", "Agg.", "Team 2", "1st leg", "2nd leg"], ["Figueres", "3–4", "Racing Santander", "1–2", "2–2"], ["Algeciras", "2–10", "Real Madrid", "0–6", "2–4"], ["Tudelano", "3–6", "Sporting Gijón", "2–1", "1–5"], ["Oviedo", "4–1", "Cultural Leonesa", "2–0", "2–1"], ["Tenerife", "2–1", "Malgrat", "2–0"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 22 | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["155", "Rob Sangster", "Left Wing", "Canada", "Vancouver Canucks", "Kitchener Rangers (OHL)"], ["150", "Derek Langille", "Defense", "Canada", "Toronto Maple Leafs", "North Bay Centennials (OHL)"], ["167", "Patri... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints"], ["20", "Kerstin Finke (FRG)", "393.93", "20", ""], ["18", "Valerie McFarland-Beddoe (AUS)", "401.13", "18", ""], ["21", "Nicole Kreil (AUT)", "382.68", "21", ""], ["13", "Ann Fargher (NZL)", "421.65", "13", ""], ["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:... | Li Yihua (CHN) | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Soviet Union (URS)", "0", "1", "2", "3"], ["2", "United States (USA)", "2", "1", "1", "4"], ["3", "West Germany (FRG)", "2", "0", "0", "2"], ["6", "Sweden (SWE)", "0", "1", "1", "2"], ["1", "Netherlands (NED)", "4", "3", "2", "9"], ["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:... | 2 | 128 | Answer: |
Table InputTable: [["Naturalisations by origin", "2000", "2005", "2009", "% Total 2009"], ["East Asia", "1 139", "1 280", "1 622", "1.2"], ["South-East Asia", "7 265", "4 069", "2 475", "1.8"], ["Other Asia", "15 291", "16 501", "11 737", "8.6"], ["Asia", "27 941", "26 286", "19 494", "14.4"], ["South Asia", "4 246", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | South-East Asia | 128 | Answer: |
Table InputTable: [["Departure", "Going to", "Calling at", "Arrival", "Operator"], ["17.55", "Nottingham Victoria", "", "18.46", "GNR"], ["22.04", "Grantham", "", "22.27", "GNR"], ["13.48", "Grantham", "Rauceby, Ancaster, Honington", "14.21", "GNR"], ["18.51", "Grantham", "Rauceby, Ancaster, Honington, Barkston", "19.2... | 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:... | 17 | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Country", "Athletes", "Time", "Deficit"], ["", "2", "Russia", "Ivan Skobrev\\nDenis Yuskov\\nYevgeny Lalenkov", "3:43.62", "+2.19"], ["6", "3", "Germany", "Patrick Beckert\\nMarco Weber\\nRobert Lehmann", "3:46.48", "+5.05"], ["5", "1", "Norway", "Sverre Lunde Pedersen\\nHåvard Bøkk... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Year", "Single", "Peak chart positions\\nAUS", "Peak chart positions\\nAUT", "Peak chart positions\\nBEL\\n(Fl)", "Peak chart positions\\nBEL\\n(Wa)", "Peak chart positions\\nFIN", "Peak chart positions\\nFRA", "Peak chart positions\\nGER", "Peak chart positions\\nNED", "Peak chart positions\\nSWE"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["1990", "FC Dinamo Moscow", "Real Zaragoza", "Real Betis Balompié", "-"], ["1979", "Real Zaragoza", "NK Dinamo Zagreb", "Vasas SC", "FK Sarajevo"], ["1991", "Real Zaragoza", "Dinamo Bucharest", "-", "-"], ["1978", "Real Zaragoza", "Club Nacional ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1990 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "Asian Games", "Doha, Qatar", "1st", "400 m", ""], ["2006", "World Cup", "Athens, Greece", "7th", "400 m", ""], ["2001", "World Youth Championships", "Debrecen, Hungary", "4th", "400 m", ""], ["2006", "Asian Games", "Doha, Qatar... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Stations", "Connections", "City/ Neighborhood", "Parking", "Date Opened"], ["Sepulveda", "Metro Local: 234\\nMetro Rapid: 734", "Van Nuys", "1,205 Spaces", "October 29, 2005"], ["Van Nuys", "Metro Local:154, 156, 233, 237, 656\\nMetro Rapid: 761\\nLADOT DASH: Van Nuys/Studio City\\nCity of Santa Cl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sepulveda | 128 | Answer: |
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