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: [["Date of Incident", "Offender", "Team", "Offense", "Date of Action", "Length"], ["April 14, 2012", "Andrew Shaw", "Chicago Blackhawks", "Charging goaltender Mike Smith.", "April 17, 2012", "3 gamesβ‘ (3 post-season)"], ["December 20, 2011", "Deryk Engelland", "Pittsburgh Penguins", "Illegal hit to th... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pittsburgh Penguins | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Finland", "3", "3", "1", "7"], ["7", "Norway", "2", "1", "1", "4"], ["5", "Sweden", "2", "4", "4", "10"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["8", "Italy", "1", "2", "0", "3"], ["9", "Germany", "1", "0", "1", "2"], ["4", "Swit... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["9", "107", "Virat Kohli", "India", "114", "2", "Sri Lanka", "24 December 2009", "Won"], ["3", "100*", "Sachin Tendulkar", "India", "103", "2", "Kenya", "31 May 1998", "Won"], ["6", "134*", "Graeme Smith", "Sout... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 24 December 2009 | 128 | Answer: |
Table InputTable: [["Year", "Film", "Rotten Tomatoes", "Metacritic", "IMDb"], ["1998", "The Idiots", "70%", "47%", "6.9/10"], ["2000", "Dancer in the Dark", "68%", "61%", "8.0/10"], ["2006", "The Boss of It All", "74%", "71%", "6.7/10"], ["1984", "The Element of Crime", "77%", "N/A", "6.9/10"], ["2009", "Antichrist", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | The Five Obstructions | 128 | Answer: |
Table InputTable: [["Aircraft", "Origin", "Type", "In service", "Notes"], ["Beechcraft Super King Air 350", "USA", "Light transport", "1", "in service since 2004"], ["Cessna 208 Caravan", "USA", "Light transport", "1", "in service since 2007"], ["Piper PA-31 Navajo", "USA", "Light transport", "0", "in service since 199... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Match Day", "Date", "Opponent", "H/A", "Score", "Aberdeen Scorer(s)", "Attendance"], ["1", "15 August", "Dundee", "A", "3β1", "Soye, Walker, Cail", "10,000"], ["4", "5 September", "Clyde", "H", "2β0", "MacLachlan, Archibald", "6,000"], ["34", "20 March", "Airdrieonians", "H", "3β0", "Brewster, Cail... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rangers | 128 | Answer: |
Table InputTable: [["Association", "Joining year", "Men's team", "Women's team", "League"], ["Korea DPR", "2002", "Korea DPR", "Korea DPR", "DPR Korea League"], ["Guam", "2002", "Guam", "Guam", "Guam League"], ["Korea Republic", "2002", "Korea Republic", "Korea Republic", "K-League"], ["Hong Kong", "2002", "Hong Kong",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["1", "Corey Pavin", "United States", "72-69-71-68=280", "E", "350,000"], ["3", "Tom Lehman", "United States", "70-72-67-74=283", "+3", "131,974"], ["T4", "Jef... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Single", "Peak chart\\npositions\\nUS Country", "Peak chart\\npositions\\nCAN Country", "Album"], ["1977", "\"I'm Gonna Love You Right Out of This World\"", "21", "38", "singles only"], ["1983", "\"Hold Me\"", "67", "β", "singles only"], ["1981", "\"Houston Blue\"", "88", "β", "singles only... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Forbidden Fruit" | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Club", "Nationality", "Points"], ["15", "Lev Yashin", "Dynamo Moscow", "Soviet Union", "3"], ["4", "Paul Van Himst", "Anderlecht", "Belgium", "25"], ["8", "Alessandro Mazzola", "Internazionale", "Italy", "9"], ["25", "Jakob KΓΌhn", "ZΓΌrich", "Switzerland", "1"], ["8", "Valery Voronin... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["1998", "4", "USISL PDSL", "4th, Central", "Division Finals", "1st Round"], ["2007", "4", "USL PDL", "3rd, Heartland", "Did not qualify", "1st Round"], ["2002", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did not qua... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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", "ZΓ© Roberto", "Sandro Grande"], ["2008", "Matt Jordan", "Nevio Pizzolitto", "Joey Gjertsen"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["16", "Alex Figge", "Pacific Coast Motorsports", "68", "+ 1 Lap", "16", "5"], ["10", "Ryan Dalziel", "Pacific Coast Motorsports", "69", "+29.554", "15", "11"], ["1", "Justin Wilson", "RuSPORT", "69", "1:46:02.236", "2", "32"], ["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:... | 1:46:02.236 | 128 | Answer: |
Table InputTable: [["Title", "Year", "Authors", "Publisher", "Pages"], ["The Route to Advanced Communications", "1991", "David Cleevely, Stefan Stanislawski, Ade Ajibulu", "Analysys Publications", "178"], ["ATM Vendor & Operator Strategies", "1993", "David Cleevely, Peter Aknai, Ian Leslie", "Analysis Publications", "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 | 128 | Answer: |
Table InputTable: [["Year", "Film", "Rotten Tomatoes", "Metacritic", "IMDb"], ["2000", "Dancer in the Dark", "68%", "61%", "8.0/10"], ["2013", "Nymphomaniac: Volume II", "79%", "76%", "7.2/10"], ["2013", "Nymphomaniac: Volume I", "77%", "63%", "7.5/10"], ["2009", "Antichrist", "48%", "49%", "6.6/10"], ["1998", "The Idi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2003, 2013 | 128 | Answer: |
Table InputTable: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Netherlands", "2001", "2", "4207", "In 2001 the Netherlands ordered two vessels to serve in the Dutch customs' service. Visarend commissioned in 2001, Zeearend in 2002. now operated by the Dutch Coast Guard"], ["Jamaica", "2005", "3", "4207", "The th... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["DNPQ", "34", "Claudio Langes", "EuroBrun-Judd", "", "", "", ""], ["DNPQ", "33", "Roberto Moreno", "EuroBrun-Judd", "", "", "", ""], ["2", "5", "Thierry Boutsen", "Williams-Renault", "64", "+ 39.092", "4", "6"], ["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:... | Alain Prost | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par"], ["T2", "Jason Gore", "United States", "71-67-72=210", "E"], ["T2", "Olin Browne", "United States", "67-71-72=210", "E"], ["1", "Retief Goosen", "South Africa", "68-70-69=207", "β3"], ["T7", "Peter Hedblom", "Sweden", "77-66-70=213", "+3"], ["T7", "Ti... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | United States | 128 | Answer: |
Table InputTable: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["1", "Lord High Steward", "vacant", "Justiciar", "Lord Steward"], ["3", "Lord High Treasurer", "in commission", "", ""], ["6", "Lord Great Chamberlain", "The Marquess of Cholmondeley", "Lord High Treasurer", "Lord Chamb... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2002", "Asian Games", "Busan, South Korea", "2nd", "4x400 m relay", ""], ["2006", "Asian Games", "Doha, Qatar", "1st", "400 m", ""], ["2006", "Asian Games", "Doha, Qatar", "2nd", "4x400 m relay", ""], ["2005", "Universiade", "Izmir, Tu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Busan | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["152", "Sergei Starikov", "Defense", "Soviet Union", "New Jersey Devils", "CSKA Moscow (USSR)"], ["164", "Rick Allain", "Defense", "Canada", "Boston Bruins", "Kitchener Rangers (OHL)"], ["160", "Greg Spenrath", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | United States | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Glamour Boy Shane", "1", "April 2, 1999", "Guaynabo, Puerto Rico", "Defeated \"Jungle\" Jim Steele for vacant title."], ["Grizzly Boone", "1", "October 24, 1987", "Bayamon, Puerto Rico", ""], ["Superstar Romeo", "1", "February 3, 2007", "Caguas... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Invader I | 128 | Answer: |
Table InputTable: [["#", "Title", "Featured guest(s)", "Producer(s)", "Time", "Sample (s)"], ["7", "\"Just Clownin'\"", "", "Battlecat", "3:59", "*\"(Not Just) Knee Deep\" by Funkadelic\\n*\"Too Tight for Light\" by Funkadelic"], ["6", "\"Keep Hustlin\"", "E-40 & Too Short", "Young Tre", "3:39", "*\"Yearning for Your L... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Bank Lick" | 128 | Answer: |
Table InputTable: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["NGC 1560", "SA(s)d", "04hΒ 32mΒ 49.1s", "+71° 52β²Β 59β³", "-36 Β± 5", "12.2"], ["NGC 1569", "Sbrst", "04hΒ 30mΒ 49.1s", "+64° 50β²Β 52,6β³", "-104 Β± 4", "11,2"], ["Camelopardalis B", "Irr", "04hΒ 53mΒ 07.1s", "+67° 05β²Β 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:... | NGC 1569 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Score", "Result", "Record"], ["August 8", "@ Detroit", "66-56", "Win", "18-9"], ["August 7", "@ Indiana", "68-55", "Win", "17-9"], ["August 29 (First Round, Game 1)", "@ Sacramento", "59-65", "Loss", "0-1"], ["August 31 (First Round, Game 2)", "Sacramento", "69-48", "Win", "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:... | 18-9 | 128 | Answer: |
Table InputTable: [["Number", "Name", "Service", "From", "To"], ["14", "MG Raymond H. Fleming", "USA", "August 14, 1951", "February 15, 1953"], ["(Acting)", "MG Raymond H. Fleming", "USA", "September 5, 1950", "August 13, 1951"], ["12", "MG Butler B. Miltonberger", "USA", "February 1, 1946", "September 29, 1947"], ["(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:... | MG | 128 | Answer: |
Table InputTable: [["Year", "Network", "Race caller", "Color commentator", "Reporters", "Trophy Presentation"], ["1959", "CBS", "Fred Capossela", "Bryan Field and Chris Schenkel", "", "Chris Schenkel"], ["1957", "CBS", "Fred Capossela", "Bryan Field", "", ""], ["1958", "CBS", "Fred Capossela", "Bryan Field", "", ""], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bryan Field | 128 | Answer: |
Table InputTable: [["Place", "Code", "Area (km2)", "Population", "Most spoken language"], ["Remainder of the municipality", "91106", "2,944.04", "10,463", "Northern Sotho"], ["Sekgosese", "91108", "349.99", "46,749", "Northern Sotho"], ["Moletji", "91107", "11.66", "4,989", "Northern Sotho"], ["Ga-Ramokgopha", "91104",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Northern Sotho | 128 | Answer: |
Table InputTable: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["164Β km/h (102Β mph)", "1904-05-09", "UK", "GWR 3700 Class 3440 City of Truro", "Loc", "Steam", "Unmod.", "Claimed[by whom?] to be the first steam locomotive to reach100Β mph (161Β km/h).[citation needed]"], ["182.4Β km/h (113Β ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["1", "Dr Abdus Salam", "1961", "1967", "Imperial College", "Theoretical Physics", "Doctor of Philosophy (Ph.D)"], ["8", "Major General Raza Hussain", "2001", "2010", "Pakistan Army Corps of Electric... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Major General Raza Hussain, Major General Ahmed Bilal | 128 | Answer: |
Table InputTable: [["Name", "Location", "Date established", "Area", "Description"], ["Denali", "Alaska\\n63Β°20β²N 150Β°30β²Wο»Ώ / ο»Ώ63.33Β°N 150.50Β°W", "February 26, 1917", "4,740,911.72 acres (19,185.8Β km2)", "Centered around the Mount McKinley, the tallest mountain in North America, Denali is serviced by a single road leadi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Denali | 128 | Answer: |
Table InputTable: [["Date", "Location", "Opponent", "Result", "Competition"], ["July 15, 2013", "Houston, United States", "El Salvador", "0-1", "GC"], ["July 8, 2013", "Harrison, United States", "Honduras", "0β2", "GC"], ["March 5, 2014", "Mitrovica, Kosovo", "Kosovo", "0β0", "F"], ["July 12, 2013", "Miami Gardens, Uni... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kosovo | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["Quarterfinals-2", "2006..", "[[]]", "[[]]", "-"], ["Quarterfinals-1", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-2", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-1", "2006..", "[[]]", "[[]]", "-"], ["GL-A-1", "2006..", "[[]]", "[[]]", "-"], ["GL-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:... | 10 | 128 | Answer: |
Table InputTable: [["Period", "Live births per year", "Deaths per year", "Natural change per year", "CBR*", "CDR*", "NC*", "TFR*", "IMR*"], ["1990-1995", "471 000", "192 000", "279 000", "55.5", "22.7", "32.8", "7.78", "146"], ["1950-1955", "139 000", "66 000", "74 000", "52.6", "24.8", "27.8", "6.86", "174"], ["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:... | 8 | 128 | Answer: |
Table InputTable: [["Model", "Volume", "Engine", "Fuel", "Power/Torque", "Years produced", "Produced"], ["725tds", "2.5L", "M51D25 turbocharged I6", "Diesel", "105Β kW (143Β PS; 141Β hp) / 280Β NΒ·m (207Β lbΒ·ft)", "1995β2001", "9053"], ["740d", "3.9L", "M67D40 turbocharged V8", "Diesel", "180Β kW (245Β PS; 241Β hp) / 560Β NΒ·m (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:... | 2001 | 128 | Answer: |
Table InputTable: [["Atomic\\nno.", "Name", "Symbol", "Group", "Period", "Block", "State at\\nSTP", "Occurrence", "Description"], ["2", "Helium", "He", "18", "1", "s", "Gas", "Primordial", "Noble gas"], ["10", "Neon", "Ne", "18", "2", "p", "Gas", "Primordial", "Noble gas"], ["18", "Argon", "Ar", "18", "3", "p", "Gas", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Representative", "Title", "Presentation\\nof Credentials", "Termination\\nof Mission", "Appointed by"], ["Frank V. Ortiz, Jr.", "Ambassador Extraordinary and Plenipotentiary", "July 29, 1977", "May 15, 1979", "Jimmy Carter"], ["Sally Shelton-Colby", "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:... | Sally Shelton-Colby | 128 | Answer: |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["11", "Kevin Clark", "116", "Ford Mustang GT", "Kevin Clark", "-", "-", "23", "23", "46"], ["7", "Mike Imrie", "4", "Saab", "Imrie Motor Sport", "23", "11", "-", "28", "62"], ["14", "Brian Smith", "", "Alfa Rom... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 610 | 128 | Answer: |
Table InputTable: [["Time", "Wind", "Auto", "Athlete", "Nationality", "Location of race", "Date"], ["20.6", "", "", "Andy Stanfield", "United States", "Los Angeles, United States", "June 28, 1952"], ["20.0y", "0.0", "", "Tommie Smith", "United States", "Sacramento, United States", "June 11, 1968"], ["20.6y", "", "", "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:... | Andy Stanfield | 128 | Answer: |
Table InputTable: [["Binary", "Octal", "Decimal", "Hexadecimal", "Glyph"], ["0011Β 1000", "070", "56", "38", "8"], ["0011Β 0010", "062", "50", "32", "2"], ["0011Β 0011", "063", "51", "33", "3"], ["0011Β 0111", "067", "55", "37", "7"], ["0011Β 1001", "071", "57", "39", "9"], ["0011Β 0100", "064", "52", "34", "4"], ["0011Β 0001... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Club", "Nationality", "Points"], ["17", "Slava Metreveli", "Dinamo Tbilisi", "Soviet Union", "2"], ["15", "Lev Yashin", "Dynamo Moscow", "Soviet Union", "3"], ["17", "Milan GaliΔ", "Partizan Beograd", "Yugoslavia", "2"], ["25", "Sigfried Held", "Borussia Dortmund", "West Germany", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 14 | 128 | Answer: |
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"], ["Derek Fisher", "2", "United States", "Guard", "2006-2007", "Ar... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jim Farmer | 128 | Answer: |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["2", "Winton", "Winton Motor Raceway", "Benalla, Victoria", "1-3 May", "Jonathon Webb"], ["6", "Supercheap Auto Bathurst 1000", "Mount Panorama Circuit", "Bathurst, New South Wales", "8-11 Oct", "Jonathon Webb"], ["5", "Queensland House & La... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["Empire State Building", "United States", "New York City", "448 / 1,472", "Skyscraper", "1931β1967", ""], ["Washington Monument", "United States", "Washington, D.C.", "169.3 / 555", "Monument", "1884β1889... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["185.07Β km/h (115Β mph)", "1905-06-11", "USA", "Pennsylvania Railroad E2 #7002", "Loc", "Steam", "Unmod.", "Claimed.[by whom?] Clocked at Crestline, Ohio at 127.1Β mph (205Β km/h) in 1905. However PRR Steam Locomotives did not... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 185.07 km/h (115 mph) | 128 | Answer: |
Table InputTable: [["DATE", "OPPONENT", "SCORE", "TOP SCORER (Total points)", "VENUE"], ["July 13", "TANDUAY", "104-98", "", "PHILSPORTS ARENA"], ["February 28", "SAN MIGUEL", "78-76", "Lowell Briones (21)", "PHILSPORTS ARENA"], ["June 10 Commissioner's Cup", "MOBILINE", "97-92", "Tony Lang (29)", "ARANETA COLISEUM"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Soviet UnionΒ (URS)", "0", "1", "2", "3"], ["3", "West GermanyΒ (FRG)", "2", "0", "0", "2"], ["1", "NetherlandsΒ (NED)", "4", "3", "2", "9"], ["6", "SwedenΒ (SWE)", "0", "1", "1", "2"], ["4", "NorwayΒ (NOR)", "0", "2", "2", "4"], ["2", "Unite... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-B-6", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "2008..", "[[]]", "[[]]", "-"], ["GL-B-4", "2008..", "[[]]", "[[]]", "-"], ["GL-B-5", "2008..", "[[]]", "[[]]", "-"], ["GL-B-1", "2008..", "[[]]", "[[]]",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["", "Name on the Register", "Date listed", "Location", "City or town", "Summary"], ["16", "New Durham Meetinghouse and Pound", "December 8, 1980\\n(#80000312)", "Old Bay Rd.\\n43Β°25β²25β³N 71Β°07β²42β³Wο»Ώ / ο»Ώ43.423611Β°N 71.128333Β°W", "New Durham", ""], ["23", "Religious Society of Friends Meetinghouse", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
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\"."], ["203", "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:... | 6 | 128 | Answer: |
Table InputTable: [["No. in\\nseason", "No. in\\nseries", "Title", "Canadian airdate", "US airdate", "Production code"], ["39", "356", "\"Thunderstruck\"Β Part One", "JulyΒ 29,Β 2014", "JulyΒ 29,Β 2014", "1339"], ["37", "354", "TBA", "JulyΒ 15,Β 2014", "JulyΒ 15,Β 2014", "1337"], ["38", "355", "TBA", "JulyΒ 22,Β 2014", "JulyΒ 22,Β ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Winner", "6.", "April 20, 1998", "Barcelona, Spain", "Clay", "Alberto Berasategui", "6β2, 1β6, 6β3, 6β2"], ["Runner-up", "11.", "April 12, 1999", "Estoril, Portugal", "Clay", "Albert Costa", "6β7(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:... | Thomas Johansson | 128 | Answer: |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["Shaul Ladani", "Athletics", "Men's 50 km walk", "19", "4:24:38.6\\n(also entered for 20 km walk, but did not start)"], ["Gad Tsobari", "Wrestling", "Freestyle β Light Flyweight <48 kg", "Group stage", "0Wβ2L"], ["Eliezer Halfin", "Wrestling", "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:... | 20 km walk | 128 | Answer: |
Table InputTable: [["Team", "City", "Venue", "Capacity", "Head Coach", "Team Captain", "Past Season"], ["Persepolis", "Tehran", "Azadi", "90,000", "Nelo Vingada", "Karim Bagheri", "Champion"], ["Esteghlal", "Tehran", "Azadi", "90,000", "Amir Ghalenoei", "Farhad Majidi", "13th"], ["Pas Hamedan", "Hamedan", "Ghods", "5,0... | 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:... | Pas Hamedan | 128 | Answer: |
Table InputTable: [["Poll Source", "Sample Size", "Margin of Error", "Date", "Democrat", "%", "Republican", "%"], ["Survey USA", "563", "4.2", "Feb 15-17, 2008", "Barack Obama", "51", "John McCain", "41"], ["Survey USA", "543", "4.3", "Jan 4-6, 2008", "Barack Obama", "55", "John McCain", "38"], ["Survey USA", "517", "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:... | 6 | 128 | Answer: |
Table InputTable: [["Year", "Result", "Award", "Film"], ["2002", "Won", "Golden Globe Award Best Performance by an Actor in a Television Series - Musical or Comedy", "Spin City"], ["2002", "Nominated", "ALMA Award Outstanding Actor in a Television Series", "Spin City"], ["2008", "Won", "ALMA Award Outstanding Actor 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:... | Two and a Half Men | 128 | Answer: |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Chelyabinsk Oblast", "Tatiana Abramenko", "Π’Π°ΡΠΈΠ°Π½Π° ΠΠ±ΡΠ°ΠΌΠ΅Π½ΠΊΠΎ", "21", "1.74Β m (5Β ft 8Β 1β2Β in)", "Chelyabinsk"], ["Amur Oblast", "Myriam Asfry", "ΠΡΡΠΈΠ°ΠΌ ΠΡΡΡΡ", "18", "1.75Β m (5Β ft 9Β in)", "Blagoveshchensk"], ["KhantyβMansi Okrug"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tatiana Abramenko | 128 | Answer: |
Table InputTable: [["", "Name on the Register", "Date listed", "Location", "City or town", "Summary"], ["4", "Durham Historic District", "May 31, 1980\\n(#80000308)", "Main St. and Newmarket Rd.\\n43Β°07β²47β³N 70Β°55β²10β³Wο»Ώ / ο»Ώ43.129722Β°N 70.919444Β°W", "Durham", ""], ["17", "New Durham Town Hall", "November 13, 1980\\n(#80... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Durham Historic District, Smith Chapel, Gen. John Sullivan House, Thompson Hall, Wiswall Falls Mills Site | 128 | Answer: |
Table InputTable: [["Stage", "Date", "Route", "Terrain", "Length", "Winner", "Race leader"], ["5", "4 July", "Vannes β Les Sables d'Olonne", "Plain stage", "202Β km (126Β mi)", "Charles PΓ©lissierΒ (FRA)", "Charles PΓ©lissierΒ (FRA)\\nΒ Rafaele di PacoΒ (ITA)"], ["8", "7 July", "Bayonne β Pau", "Plain stage", "106Β km (66Β mi)",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Week", "Date", "Opponent", "Result", "Game site", "NFL Recap", "Attendance"], ["7", "October 19, 1986", "at Philadelphia Eagles", "W 17β14", "Veterans Stadium", "[7]", "68,572"], ["11", "November 16, 1986", "at San Diego Chargers", "W 24β21", "Jack Murphy Stadium", "[11]", "55,622"], ["13", "Novemb... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["1", "1", "Going Up!", "October 25, 1998", "101"], ["13", "13", "Hot Dog", "March 14, 1999", "113"], ["4", "4", "Close Encounters", "November 15, 1998", "104"], ["8", "8", "Special FX-Ation", "January 24, 1999",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Station", "Station Connections", "Date Opened", "Station Parking", "City/ Neighborhood"], ["Harbor Freeway", "Metro Silver LineΒ Β \\nMetro Local: 45, 81, 120\\nMetro Express: 450 (Weekdays Rush Hour AM/PM trips, & Sundays Only), 550\\nMetro Rapid: 745\\nLADOT Commuter Express: 448\\nOrange County Tr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Norwalk | 128 | Answer: |
Table InputTable: [["Date", "Festival", "Location", "Awards", "Link"], ["Jul 18, Jul 25", "Fantasia Festival", "Montreal, Quebec Β Canada", "Special Mention\\n\"for the resourcefulness and unwavering determination by a director to realize his unique vision\"", "FanTasia"], ["Oct 9", "London Int. Festival of Science Fict... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Seattle International Film Festival | 128 | Answer: |
Table InputTable: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Aleksandr Pashutin\\n60.the actor", "Barracudas", "", "", "3rd Voted Out\\nDay 9", "7"], ["Aleksandr Lykov\\n41.the actor", "Barracudas", "Barracudas", "Crocodiles", "13th Voted Out\\n8th Jury Member\\nDay ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Single / EP", "Tracks", "Label", "Year", "Album"], ["2012 β Remix Contest EP", "2012 (Remastered)", "Burn The Fire", "2012", "The Agenda"], ["Doin' It Right", "Doin' It Right", "Burn The Fire", "2009", "β"], ["Hot & Cold", "Overdose", "Burn The Fire", "2010", "β"], ["Still Smoking", "Nasty & Gaspar... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Drop Bears | 128 | Answer: |
Table InputTable: [["Model", "Fuel Type", "mpg (US gallons)", "L/100Β km", "NZ Rating\\n(Stars)"], ["Fiat 500 1.3 JTD POP", "diesel", "56", "4.2", "5.5"], ["Fiat 500 1.4 POP", "petrol", "37.3", "6.3", "4.5"], ["Fiat 500 1.2 POP", "petrol", "46", "5.1", "5"], ["Volkswagen Passat TDI BLUEMOTION SED", "diesel", "46", "5.1"... | 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:... | diesel | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1936/37", "N/A", "ASL", "2nd, American", "1st Round", "?"], ["1945/46", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1939/40", "N/A", "ASL", "2nd(t)", "No playoff", "Co-champion"], ["1935/36", "N/A", "ASL", "2nd", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["7", "Hong KongΒ (HKG)", "2", "2", "9", "13"], ["3", "South KoreaΒ (KOR)", "32", "48", "65", "145"], ["1", "ChinaΒ (CHN)", "127", "63", "33", "223"], ["4", "Chinese TaipeiΒ (TPE)", "12", "34", "26", "72"], ["2", "JapanΒ (JPN)", "46", "56", "77", "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:... | 13 | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["6", "129", "Dean Uthoff", "", "United States", "Iowa State"], ["1", "15", "Reggie Johnson", "PF/C", "United States", "Tennessee"], ["9", "192", "Al Williams", "", "United States", "North Texas State"], ["5", "107", "Gib Hin... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dean Uthoff | 128 | Answer: |
Table InputTable: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["4", "ΓBV", "18", "8", "5", "5", "29", "17", "+12", "29", "Inter-Toto Cup"], ["1", "KR", "18", "11", "4", "3", "27", "14", "+13", "37", "UEFA Champions League"], ["3", "GrindavΓk", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Week", "Date", "Opponent", "Result", "Game site", "NFL Recap", "Attendance"], ["8", "October 26, 1986", "St. Louis Cardinals", "W 37β6", "Texas Stadium", "[8]", "60,756"], ["6", "October 12, 1986", "Washington Redskins", "W 30β6", "Texas Stadium", "[6]", "63,264"], ["13", "November 27, 1986", "Seat... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | New York Giants | 128 | Answer: |
Table InputTable: [["Boat", "Time", "Crew", "Nation", "Date", "Meet", "Location"], ["LM2-\\nLightweight coxless pairs", "6:26.21", "Tony O'Connor\\nNeville Maxwell", "Ireland", "1994", "", "Paris, France"], ["LM4-\\nLightweight coxless four", "5:45.60", "Thomas Poulsen\\nThomas Ebert\\nEskild Ebbesen\\nVictor Feddersen... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5:19.35 | 128 | Answer: |
Table InputTable: [["Year", "Single", "Peak chart\\npositions\\nUS Country", "Peak chart\\npositions\\nCAN Country", "Album"], ["1984", "\"I'm a Country Song\"", "72", "β", "singles only"], ["1977", "\"I'm Gonna Love You Right Out of This World\"", "21", "38", "singles only"], ["1983", "\"Hold Me\"", "67", "β", "single... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2", "JapanΒ (JPN)", "46", "56", "77", "179"], ["3", "South KoreaΒ (KOR)", "32", "48", "65", "145"], ["7", "Hong KongΒ (HKG)", "2", "2", "9", "13"], ["8", "MongoliaΒ (MGL)", "1", "1", "6", "8"], ["1", "ChinaΒ (CHN)", "127", "63", "33", "223"], ["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:... | Hong Kong | 128 | Answer: |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["Season", "Date", "Location", "Race", "", "", "", ""], ["2011", "5 Mar 2011", "Kranjska Gora, Slovenia", "Giant Slalom", "", "", "", ""], ["2010", "12 Mar 2010", "Garmisch, Germany", "Giant Slalom", "", "", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2011 | 128 | Answer: |
Table InputTable: [["Country", "Amphibians", "Birds", "Mammals", "Reptile", "Total terrestrial vertebrates", "Vascular plants", "Biodiversity"], ["Costa Rica", "183", "838", "232", "258", "1511", "12119", "13630"], ["Guatemala", "133", "684", "193", "236", "1246", "8681", "9927"], ["Nicaragua", "61", "632", "181", "178... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Panama | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["7", "Great BritainΒ (GBR)", "0", "0", "1", "1"], ["4", "Soviet UnionΒ (URS)", "1", "0", "0", "1"], ["7", "FranceΒ (FRA)", "0", "0", "1", "1"], ["2", "ItalyΒ (ITA)", "1", "1", "1", "3"], ["1", "AustraliaΒ (AUS)", "2", "1", "0", "3"], ["5", "Switzer... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Switzerland (SUI) | 128 | Answer: |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7CAE", "Hobart", "092.1", "FM", "Changed call to 7THE ca. 1980", "7THE", "Community"], ["7HT", "Hobart", "1080", "AM", "Moved to FM in 1998 as 7XXX", "7TAB (HPON)", "Commercial"], ["7HO", "Hobart", "0864", "AM", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 092.1 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["10", "Oct 30", "vs. Hamilton Tiger-Cats", "30β9", "Loss", "1β11"], ["8", "Oct 16", "vs. Toronto Argonauts", "27β11", "Loss", "1β9"], ["7", "Oct 9", "vs. Montreal Alouettes", "25β11", "Loss", "1β7"], ["7", "Oct 11", "at Montreal Alouettes", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["2002", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did not qualify"], ["2003", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did not qualify"], ["2006", "4", "USL PDL", "3rd, Heartland", "Did not qualify", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["6", "Supercheap Auto Bathurst 1000", "Mount Panorama Circuit", "Bathurst, New South Wales", "8-11 Oct", "Jonathon Webb"], ["2", "Winton", "Winton Motor Raceway", "Benalla, Victoria", "1-3 May", "Jonathon Webb"], ["3", "Dunlop Townsville 400... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jonathon Webb | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["20", "Lucas Oliver Bulto", "Yamaha", "+1:25.758", ""], ["16", "Luca Boscoscuro", "TSR-Honda", "+56.432", ""], ["1", "Loris Capirossi", "Honda", "38:04.730", "25"], ["24", "Henk Van De La... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Franco Battaini | 128 | Answer: |
Table InputTable: [["Num", "Pod Color", "Nickname", "Short Description", "Episode"], ["054", "Blue", "Fudgy", "An experiment made of chocolate that looks like a blob. Designed to drown people in his sticky sweetness. When he was activated, he was called 119, and he was mistaken for experiment 611. The mistake with his ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Spot | 128 | Answer: |
Table InputTable: [["Position", "Sail Number", "Yacht", "State/Country", "Yacht Type", "LOA\\n(Metres)", "Skipper", "Elapsed Time\\nd:hh:mm:ss"], ["3", "YC1000", "Ausmaid", "SA", "Farr 47", "14.24", "Kevan Pearce", "3:06:02:29"], ["2", "C1", "Brindabella", "NSW", "Jutson 79", "24.07", "George Snow", "2:21:55:06"], ["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:... | 3 | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par"], ["T7", "Lee Westwood", "England", "68-72-73=213", "+3"], ["T7", "Tiger Woods", "United States", "70-71-72=213", "+3"], ["T7", "Peter Hedblom", "Sweden", "77-66-70=213", "+3"], ["T7", "K. J. Choi", "South Korea", "69-70-74=213", "+3"], ["T2", "Jason G... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Game", "Day", "Date", "Kickoff", "Opponent", "Results\\nScore", "Results\\nRecord", "Location", "Attendance"], ["2", "Sunday", "November 17", "1:05pm", "Monterrey Flash", "L 6β10", "0β2", "UniSantos Park", "363"], ["14", "Friday", "February 7", "7:05pm", "at Turlock Express", "L 6β9", "7β7", "Turlo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Las Vegas Legends | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Engine", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["9", "98", "Alex Tagliani", "Team Barracuda β BHA", "Honda", "85", "+ 39.6868", "8", "0", "22"], ["14", "14", "Mike Conway", "A.J. Foyt Enterprises", "Honda", "84", "+ 1 lap", "14", "0", "16"], ["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:... | no | 128 | Answer: |
Table InputTable: [["No. in\\nseries", "No. in\\nseason", "Title", "Directed by", "Written by", "Original air date", "Prod.\\ncode"], ["4", "7", "\"Danny was a Million Laughs\"", "Mark Rydell", "Arthur Dales", "OctoberΒ 27,Β 1965", "107"], ["8", "6", "\"The Loser\"", "Mark Rydell", "Robert Culp", "OctoberΒ 20,Β 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:... | April 27, 1966 (1966-04-27) | 128 | Answer: |
Table InputTable: [["Year", "Network", "Race caller", "Color commentator", "Reporters", "Trophy Presentation"], ["1959", "CBS", "Fred Capossela", "Bryan Field and Chris Schenkel", "", "Chris Schenkel"], ["1952", "CBS", "Bryan Field", "Sam Renick", "", ""], ["1953", "CBS", "Bryan Field", "Mel Allen", "Phil Sutterfield",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Fred Capossela | 128 | Answer: |
Table InputTable: [["Title", "Year", "Authors", "Publisher", "Pages"], ["ATM Vendor & Operator Strategies", "1993", "David Cleevely, Peter Aknai, Ian Leslie", "Analysis Publications", "180"], ["Rural Telecoms Handbook: Equipment and Manufacturers", "1992", "Tim Hills, David Cleevely", "Analysys Publications", "-"], ["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:... | 450 | 128 | Answer: |
Table InputTable: [["Game", "Date", "Team", "Score", "High points", "High rebounds", "High assists", "Location\\nAttendance", "Record"], ["44", "January 24", "@ Milwaukee", "L 104β106", "Kevin Martin (20)", "Brad Miller (13)", "Brad Miller (9)", "Bradley Center\\n15,379", "10β34"], ["40", "January 14", "@ Golden State"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Recipient", "Nationality", "Profession", "Speech"], ["2000", "Sir Martin Gilbert", "United Kingdom", "Historian and writer", ""], ["1999", "A.M. Rosenthal", "United States", "Former New York Times editor\\nFormer New York Daily News columnist", ""], ["1997", "Elie Wiesel", "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:... | United States | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["10", "19", "Teo Fabi", "Benetton-BMW", "77", "+ 5 Laps", "13", ""], ["9", "14", "Jonathan Palmer", "Zakspeed", "77", "+ 5 Laps", "21", ""], ["8", "26", "Philippe Alliot", "Ligier-Renault", "79", "+ 3 Laps", "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:... | 77 | 128 | Answer: |
Table InputTable: [["Rank", "Athlete", "Nationality", "2.15", "2.20", "2.24", "2.27", "Result", "Notes"], ["9.", "Ramsay Carelse", "South Africa", "xo", "xo", "o", "xxx", "2.24", ""], ["10.", "Nicola Ciotti", "Italy", "o", "o", "xo", "xxx", "2.24", ""], ["10.", "Tora Harris", "United States", "o", "o", "xo", "xxx", "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 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Site", "Result"], ["October 16", "atΒ Georgia Tech", "Grant Field β’ Atlanta, GA", "WΒ 21β0"], ["November 25", "Georgia", "Rickwood Field β’ Birmingham, AL", "WΒ 33β6"], ["November 6", "Kentucky", "Rickwood Field β’ Birmingham, AL", "WΒ 14β0"], ["October 30", "LSU", "Denny Field β’ Tusc... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 33 | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "2.", "18 October 2010", "Seville, Spain", "Clay", "Andrea GΓ‘miz", "6β0, 6β1"], ["Winner", "4.", "20 June 2011", "Rome, Italy", "Clay", "Laura Thorpe", "6β3, 6β0"], ["Runner-up", "10.", "16 November 2010", "Mallorca,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["3", "Bruno Junqueira", "Dale Coyne Racing", "69", "+8.419", "11", "26"], ["7", "SΓ©bastien Bourdais", "N/H/L Racing", "69", "+22.955", "1", "18"], ["12", "Katherine Legge", "Dale Coyne Racing", "69", "+44.860", "14", "9"], ["16", "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:... | Paul Tracy | 128 | Answer: |
Table InputTable: [["Publication", "Country", "Accolade", "Year", "Rank"], ["The Times", "United Kingdom", "The 100 Best Albums of All Time", "1993", "58"], ["The Wire", "United Kingdom", "The 100 Most Important Records Ever Made", "1992", "*"], ["NME", "United Kingdom", "All Times Top 100 Albums", "1985", "46"], ["Inf... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Time Out | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["6", "South Korea", "0", "0", "2", "2"], ["5", "North Korea", "1", "0", "1", "2"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["4", "Kazakhstan", "2", "2", "0", "4"], ["1", "China", "13", "9", "13", "35"], ["2", "Japan", "7", "10", "7", "24"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Korea | 128 | Answer: |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["2013", "1 Mar 2013", "Garmisch, Germany", "Super-G", "1st"], ["2012", "5 Feb 2012", "Garmisch, Germany", "Super-G", "3rd"], ["2012", "4 Feb 2012", "Garmisch, Germany", "Downhill", "3rd"], ["2014", "22 Dec 2013", "Val-d'Isère, France", "Giant sl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Beaver Creek, USA | 128 | Answer: |
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