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: [["Goal", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["2", "2010-10-12", "Hanrapetakan Stadium, Yerevan, Armenia", "Andorra", "4–0", "4–0", "Euro 2012 Q"], ["5", "2011-10-7", "Hanrapetakan Stadium, Yerevan, Armenia", "Macedonia", "1-0", "4-1", "Euro 2012 Q"], ["6", "2012-2-29", "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:... | Cyprus | 128 | Answer: |
Table InputTable: [["Team", "Chassis", "Engine", "Tires", "No", "Drivers"], ["PacWest Racing Group", "Reynard 98i", "Mercedes", "Firestone", "18", "Mark Blundell"], ["Tasman Motorsports Group", "Reynard 98i", "Honda", "Firestone", "21", "Tony Kanaan"], ["PacWest Racing Group", "Reynard 98i", "Mercedes", "Firestone", "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:... | 11 | 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:... | 26 | 128 | Answer: |
Table InputTable: [["Common name", "District", "Hebrew", "Arabic", "Population\\n(2009)", "Area\\n(km²)", "Mayor"], ["Sderot", "South", "שדרות", "سديروت", "23,700", "4.472", "David Buskila"], ["Ashdod", "South", "אשדוד", "أشدود", "206,400", "47.242", "Yehiel Lasri"], ["Arad", "South", "ערד", "عراد", "23,400", "93.140",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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", "\"Endlessly\"", "The Way I Am", "--", "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: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Boomerang", "Oswald the Mailman Robot", "Aborigines", "40,000 years ago", "Australia", "Mailman"], ["Tools", "Hank the Handyman Robot", "Stone-Age Humans", "2½ million years ago", "Africa", "Mechanic"], ["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:... | 8 | 128 | Answer: |
Table InputTable: [["Name", "Pennant", "Namesake", "Builder", "Ordered", "Laid down", "Launched", "Commissioned", "Fate"], ["Achilles", "70", "Achilles", "Cammell Laird", "16 February 1931", "11 June 1931", "1 September 1932", "24 March 1936", "Transferred to Royal New Zealand Navy as HMNZS Achilles 1941-1946\\nSold to... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Vickers Armstrong | 128 | Answer: |
Table InputTable: [["Sl no", "Name of the prabandham", "Starting from", "Ending with", "Number of pasurams", "Sung by"], ["1", "Periazhvar Thirumozhi", "1", "473", "473", "Periyalvar"], ["21", "Siriya Thirumadal", "2673", "2673", "1", "Thirumangai alvar"], ["19", "Peria Thiruvandhadhi", "2585", "2671", "87", "Nammalvar... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Aandaal | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Nationality", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints", "Final\\nRank"], ["11", "Brittany Broben", "Australia", "257.10", "10", "267.20", "11"], ["27", "Marion Farissier", "France", "221.65", "27", "", ""], ["24", "Fanny Bouvet", "France", "227.10", "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:... | Olena Fedorova | 128 | Answer: |
Table InputTable: [["Team", "No", "Driver", "Class", "Rounds"], ["Fortec Motorsport", "26", "Christof von Grünigen", "", "All"], ["Mücke Motorsport", "7", "Maciej Bernacik", "R", "All"], ["Fortec Motorsport", "25", "George Katsinis", "", "All"], ["Eifelland Racing", "20", "Marc Coleselli", "R", "All"], ["Mücke Motorspo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Nation", "Gold", "Silver", "Bronze", "Total"], ["7", "Japan", "0", "0", "2", "2"], ["4", "Thailand", "1", "0", "0", "1"], ["2", "Indonesia", "1", "3", "2", "6"], ["8", "India", "0", "0", "1", "1"], ["1", "Malaysia", "3", "0", "1", "4"], ["6", "Denmark", "0", "1", "0", "1"], ["3", "Korea", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Thailand | 128 | Answer: |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["1978", "Real Zaragoza", "Club Nacional de Football", "PFC Sliven", "FK Trepca Mitrovica"], ["1977", "PFC CSKA Sofia", "Real Zaragoza", "FK Radnički Niš", "RCD Espanyol"], ["1981", "Real Zaragoza", "Nottingham Forest Football Club", "Tisza Volán ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | FK Radnički Niš | 128 | Answer: |
Table InputTable: [["Route", "Destinations", "Via", "Frequency\\n(minutes)", "Peak Hours Only", "Former"], ["12", "Kingston Centre\\nHighway 15", "Downtown\\nCFB Kingston (off-peak only)", "30", "", "-"], ["3", "Kingston Centre\\nDowntown", "Queen Mary Road\\nSt. Lawrence College\\nKing Street", "30", "", ""], ["16", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cataraqui Town Centre St. Lawrence College | 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"], ["12", "106", "Nasir Jamshed", "Pak... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pakistan | 128 | Answer: |
Table InputTable: [["#", "Massif", "Region", "Type of nature reserve", "Preserved area", "Buffer zone"], ["5", "Kuziy / Trybushany", "Zakarpattia", "Carpathian Biosphere Reserve", "1369.6 ha", "3163.4 ha"], ["1", "Chornohora", "Zakarpattia", "Carpathian Biosphere Reserve", "2476.8 ha", "12925 ha"], ["4", "Maramoros", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rožok | 128 | Answer: |
Table InputTable: [["Year", "Organization", "Award", "Work", "Result"], ["2007", "54th The Television Academy Drama Awards", "Best Actress", "First Kiss", "Nominated"], ["2007", "2007 MTV Student Voice Awards", "Best Actress", "Hana Yori Dango 2", "Won"], ["2007", "16th Hashida Awards", "Newcomer Award", "Hana Yori Dan... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | First Kiss | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["8", "26", "Philippe Alliot", "Ligier-Renault", "79", "+ 3 Laps", "8", ""], ["Ret", "8", "Derek Warwick", "Brabham-BMW", "57", "Brakes", "20", ""], ["6", "11", "Johnny Dumfries", "Lotus-Renault", "80", "+ 2 Laps", "14"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alain Prost | 128 | Answer: |
Table InputTable: [["Season/Torneo", "Jornada or Other", "Home Team", "Result", "Away Team", "Stadium", "Date"], ["Clausura 2004", "17", "Chivas", "0-1", "América", "Estadio Jalisco", "May 1, 2004"], ["Apertura 2004", "9", "Chivas", "1-1", "América", "Estadio Jalisco", "October 2, 2004"], ["Clausura 2007", "Semifinals ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Nationality", "From", "To", "Honours", "Comments"], ["René Heitmann", "Denmark", "17 July 2010", "27 July 2010", "", "Never coached the team in a match"], ["John 'Tune' Kristiansen", "Denmark", "18 June 2012", "23 June 2012", "", "Caretaker for one league match"], ["Christian Andersen", "De... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Festival", "Location", "Awards", "Link"], ["Oct 9, Oct 11", "Sitges Film Festival", "Sitges, Catalonia\\n Spain", "", "Sitges Festival"], ["May 21–22, Jun 11", "Seattle International Film Festival", "Seattle, Washington USA", "", "siff.net"], ["Sep 28", "Fantastic Fest", "Austin, Texas\\n ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | 128 | Answer: |
Table InputTable: [["Year", "Result", "Award", "Film"], ["2007", "Nominated", "Teen Choice Award Choice TV Actor: Comedy", "Two and a Half Men"], ["2008", "Nominated", "Teen Choice Awards Choice TV Actor: Comedy", "Two and a Half Men"], ["1989", "Won", "Bronze Wrangler Theatrical Motion Picture", "Young Guns"], ["2006"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Young Guns | 128 | Answer: |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["Tennessee", "Bob Corker", "Republican", "Bob Corker (R) 64.9%\\nMark E. Clayton (D) 30.4%\\nMartin Pleasant (G) 1.7%... | 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:... | Orrin Hatch | 128 | Answer: |
Table InputTable: [["Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted"], ["0", "57", "19", "108", "38", "113", "57", "91", "76", "79"], ["1", "109", "20", "125", "39", "116", "58", "37", "77", "65"], ["7", "99", "26", "58", "45", "119", "64", "81", "83", "9... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Name", "Location", "Date established", "Area", "Description"], ["Sequoia", "California\\n36°26′N 118°41′W / 36.43°N 118.68°W", "September 25, 1890", "404,051.17 acres (1,635.1 km2)", "This park protects the Giant Forest, which has the world's largest tree, General Sherman, as well as four of 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:... | California | 128 | Answer: |
Table InputTable: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["16", "Gary Jones", "United States", "Yamaha", "439", "0"], ["12", "Andy Roberton", "United Kingdom", "Husqvarna", "810", "0"], ["1", "Sylvain Geboers", "Belgium", "Suzuki", "3066", "3"], ["4", "Roger De Coster", "Belgium", "Suzuki", "1865", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Title", "Rol", "Format", "Related Links"], ["2010", "Niñas mal (telenovela)", "Piti", "Telenovela", "http://www.novelamtv.com/"], ["2006", "La Vida Inmune", "Malhora", "Feature Film", "https://www.youtube.com/watch?v=PQt4RU3usnw"], ["2007", "La Zona", "Alejandro", "Feature Film", "https://w... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Niñas mal (telenovela) | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["7", "Japan", "0", "0", "2", "2"], ["8", "India", "0", "0", "1", "1"], ["2", "Indonesia", "1", "3", "2", "6"], ["4", "Thailand", "1", "0", "0", "1"], ["1", "Malaysia", "3", "0", "1", "4"], ["6", "Denmark", "0", "1", "0", "1"], ["3", "Korea", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Indonesia | 128 | Answer: |
Table InputTable: [["Rank", "City", "Passengers", "Top Carriers"], ["10", "Phoenix, AZ", "393,000", "United, US Airways"], ["8", "Charlotte, NC", "441,000", "United, US Airways"], ["9", "Atlanta, GA", "400,000", "Delta, United"], ["7", "Las Vegas, NV", "442,000", "Spirit, United"], ["4", "San Francisco, CA", "492,000",... | 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:... | Los Angeles, CA | 128 | Answer: |
Table InputTable: [["Game", "Date", "Opponent", "Location", "Score", "OT", "Attendance", "Record"], ["2", "January 12, 2007", "New York Titans", "HSBC Arena", "W 16–14", "", "18,690", "1–1"], ["12", "March 24, 2007", "Colorado Mammoth", "HSBC Arena", "W 19–15", "", "15,156", "8–4"], ["9", "February 24, 2007", "Philadel... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["1996", "130", "", "", ""], ["1997", "141", "", "", ""], ["1994", "154", "", "", ""], ["1995", "139", "", "", ""], ["1998", "153", "14", "", ""], ["2004", "210", "16", "11.5... | 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:... | 6 | 128 | Answer: |
Table InputTable: [["Year", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1937", "38", "7", "118.788", "16", "8", "200", "0", "Running"], ["1939", "62", "27", "121.749", "24", "11", "200", "0", "Running"], ["1927", "27", "27", "107.765", "22", "3", "200", "0", "Running"], ["1928", "8", "4", "11... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | 128 | Answer: |
Table InputTable: [["Year", "Manufacturer", "Model", "Length (feet)", "Quantity", "Fleet Series", "Fuel Propulsion", "Powertrain"], ["1996", "New Flyer", "D60", "60 (articulated)", "30", "1901-1930*", "Diesel", "Detroit Diesel Series 50\\nAllison B400R"], ["2013", "New Flyer", "Xcelsior D60", "60", "23", "2201-2223", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | MCI D4500 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["12 September 1992", "Crystal Palace", "A", "2–2", "11,224", "Olney, Sharp"], ["1 September 1992", "Leeds United", "H", "2–2", "13,848", "Olney (2)"], ["24 October 1992", "Aston Villa", "H", "1–1", "13,457", "Olney"], ["19 December 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:... | Sharp | 128 | Answer: |
Table InputTable: [["Naturalisations by origin", "2000", "2005", "2009", "% Total 2009"], ["Maghreb", "68 185", "75 224", "56 024", "41.2"], ["Africa", "84 182", "98 453", "85 144", "62.7"], ["Sub-Saharan Africa", "10 622", "15 624", "22 214", "16.4"], ["North America", "1 048", "854", "747", "0.5"], ["South and Centra... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Maghreb | 128 | Answer: |
Table InputTable: [["Year", "Team Record\\nW", "Team Record\\nL", "Playoffs"], ["2009", "5", "5", "Did Not Make Playoffs"], ["2005", "3", "5", "Did Not Make Playoffs"], ["2010", "5", "5", "Did Not Make Playoffs"], ["2008", "7", "4", "2nd Qualifier, Region 2"], ["2004", "7", "2", "2nd Qualifier, Region 2"], ["2001", "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:... | 2008 | 128 | Answer: |
Table InputTable: [["Date", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["September 16, 1995", "Colorado Springs", "Colorado State", "27", "Air Force", "20", "AFA 20–13–1"], ["October 17, 1992", "Colorado Springs", "Colorado State", "32", "Air Force", "28", "AFA 20–10–1"], ["October... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Colorado State | 128 | Answer: |
Table InputTable: [["Wrestler:", "Times:", "Date:", "Location:", "Notes:"], ["Quiet Storm", "1", "July 21, 2013", "Osaka, Japan", ""], ["Zeus", "1", "January 19, 2014", "Osaka, Japan", ""], ["Gamma", "1", "June 24, 2001", "Osaka, Japan", ""], ["CIMA", "1", "June 18, 2010", "Osaka, Japan", ""], ["Black Buffalo", "1", "M... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Japan | 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)"], ["Eliezer Halfin", "Wrestling", "Freestyle — Lightweight <68 kg", "Group stage", "1W–2L"], ["Gad Tsobari", "Wrestling", "Frees... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["12", "24", "Paolo Barilla", "Minardi-Ford", "62", "+ 2 Laps", "24", ""], ["13", "26", "Philippe Alliot", "Ligier-Ford", "61", "+ 3 Laps", "22", ""], ["7", "10", "Alex Caffi", "Arrows-Ford", "63", "+ 1 Lap", "17", ""],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alain Prost | 128 | Answer: |
Table InputTable: [["No.", "Date", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["3.", "April 11, 2011", "Chile F3", "Clay", "Roberto Quiroz", "Luis David Martínez\\n Miguel Ángel Reyes-Varela", "6–4, 7–5"], ["2.", "April 4, 2011", "Chile F2", "Clay", "Sergio Galdós", "Guillermo Hormazábal\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Gina Zeneb Adamu", "17", "175 cm (5 ft 9 in)", "Bad Vöslau", "Runner-Up"], ["Antonia Maria Hausmair", "16", "175 cm (5 ft 9 in)", "Siegendorf", "Winner"], ["Dzejlana \"Lana\" Baltić", "20", "179 cm (5 ft 10.5 in)", "Graz (originally from Bosnia)... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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"], ["\"Do You Know\"", "2002", "—", "—", "—", "N/A"], ["\"Best Mistake\"\\n(featuring 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:... | 2 | 128 | Answer: |
Table InputTable: [["Match no.", "Match Type", "Team Europe", "Score", "Team USA", "Progressive Total"], ["30", "Baker", "Team Europe", "202 - 203", "Team USA", "15 - 15"], ["31", "Singles", "Tore Torgersen", "202 - 264", "Chris Barnes", "15 - 16"], ["32", "Singles", "Osku Palermaa", "196 - 235", "Tommy Jones", "15 - 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:... | 25 | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["10", "Luis d'Antin", "Honda", "+25.044", "6"], ["11", "Alberto Puig", "Honda", "+25.136", "5"], ["21", "Adrian Bosshard", "Honda", "+1:47.492", ""], ["22", "Massimo Pennacchioli", "Honda", "+1:59.498", ""], ["20", "Gabriele Debbia", "Honda"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Hand", "Auto", "Wind", "Athlete", "Nationality", "Birthdate", "Location", "Date"], ["", "10.84", "1.8", "Erik Oostweegel", "Netherlands", "29.04.1960", "Tilburg", "10.06.2000"], ["", "10.95", "", "Karl Heinz Schröder", "Germany", "17.06.1939", "Hannover", "28.07.1979"], ["", "10.29", "1.9", "Troy D... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Erik Oostweegel | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["1990", "The Kid Who Loved Christmas", "Ernie", "Television movie"], ["1994", "Summertime Switch", "Fast Freddie Egan", "Television movie"], ["2000", "Freedom Song", "Isaac Hawkins", "Television movie"], ["1997 to 1999", "Smart Guy", "Marcus Henderson", "51 episod... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Pair", "Name", "Country", "Time", "Time behind"], ["6", "4", "Chad Hedrick", "United States", "1:09.45", "+0.56"], ["12", "9", "Beorn Nijenhuis", "Netherlands", "1:09.85", "+0.96"], ["8", "18", "Stefan Groothuis", "Netherlands", "1:09.57", "+0.68"], ["16", "7", "François-Olivier Roberge", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hedrick | 128 | Answer: |
Table InputTable: [["Stage", "Date", "Route", "Terrain", "Length", "Winner", "Race leader"], ["5", "4 July", "Vannes – Les Sables d'Olonne", "Plain stage", "202 km (126 mi)", "Charles Pélissier (FRA)", "Charles Pélissier (FRA)\\n Rafaele di Paco (ITA)"], ["2", "1 July", "Caen – Dinan", "Plain stage", "212 km (132 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:... | 24 | 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: [["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"], ["1", "US17", "Sayonara", "USA", "Farr ILC Maxi", "24.13", "Larry Ellison", "2:19:03:32"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Nokia | 128 | Answer: |
Table InputTable: [["Period", "Live births per year", "Deaths per year", "Natural change per year", "CBR*", "CDR*", "NC*", "TFR*", "IMR*"], ["1960-1965", "195 000", "89 000", "105 000", "55.5", "25.5", "30.1", "7.13", "167"], ["1965-1970", "229 000", "105 000", "124 000", "56.2", "25.8", "30.4", "7.32", "164"], ["1955-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 89000 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2008", "Asian Indoor Championships", "Doha, Qatar", "4th", "60 m", "6.81"], ["2008", "World Indoor Championships", "Valencia, Spain", "28th (h)", "60 m", "6.88"], ["2011", "World Championships", "Daegu, South Korea", "48th (h)", "200 m... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Name", "Topic", "Cost", "Target age", "Advertising"], ["Awesome Library", "All", "Free", "All", "Yes - large"], ["Archimedes-lab.org", "Mathematics", "Free", "10+", "Yes - limited"], ["Starfall.com", "Reading", "Free", "2-9", "None"], ["IXL", "Math", "$80/year", "4-12", "?"], ["Cut-the-Knot", "Math... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name", "City", "Hospital beds", "Operating rooms", "Total", "Trauma designation", "Affiliation", "Notes"], ["Alexander Hospital", "Hickory", "25", "3", "28", "-", "-", "-"], ["Hugh Chatham Memorial Hospital", "Elkin", "220", "8", "228", "-", "QHR", "-"], ["Select Specialty Hospital - Durham", "Durh... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Station", "Station Connections", "Date Opened", "Station Parking", "City/ Neighborhood"], ["Harbor Freeway", "Metro Silver Line \\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:... | Harbor Freeway | 128 | Answer: |
Table InputTable: [["Model", "Fuel Type", "mpg (US gallons)", "L/100 km", "NZ Rating\\n(Stars)"], ["Ford Focus WAG 1.6 MAN", "petrol", "35", "6.7", "4.5"], ["Ford Focus 1.6 M HATCH", "petrol", "35", "6.7", "4.5"], ["Citroen C4 1.6 SX 5DR 5SP M D", "diesel", "50", "4.7", "5"], ["Toyota RAV4 2.2D WAGON 6M L1", "diesel", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Year", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["2001", "Troy Bayliss", "6", "Ducati 996", "Ducati"], ["1996", "Troy Corser", "7", "Ducati 916", "Ducati"], ["2000", "(Colin Edwards)", "(7)", "(Honda RC51)", "Ducati"], ["1998", "Carl Fogarty", "3", "Ducati 916", "Ducati"], ["19... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["#", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["3", "September 17, 1989", "Tegucigalpa, Honduras", "El Salvador", "1–0", "1–0", "1990 World Cup qualifying"], ["2", "August 13, 1988", "St. Louis, Missouri", "Jamaica", "2–1", "5-1", "1990 World Cup qualifying"], ["10", "December... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jamaica, El Salvador | 128 | Answer: |
Table InputTable: [["Year", "Name", "Label", "Hot Black Singles", "Club Play Singles"], ["1983", "\"I Need You Now\"", "Jive", "―", "―"], ["1982", "\"He's Gonna Take You Home\"", "Becket", "―", "―"], ["1982", "\"Thanks to You\"", "Becket", "#44", "#1"], ["1984", "\"Thin Line\"", "Power House", "―", "―"], ["1987", "\"Se... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Thanks to You | 128 | Answer: |
Table InputTable: [["Num", "Pod Color", "Nickname", "Short Description", "Episode"], ["008", "Orange/Brown", "Carmine", "", "Leroy & Stitch"], ["088", "", "Decrisper", "", "Leroy & Stitch"], ["006", "", "Percy", "", "Leroy & Stitch"], ["068", "", "Tom", "", "Leroy & Stitch"], ["054", "Blue", "Fudgy", "An experiment mad... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | less | 128 | Answer: |
Table InputTable: [["Tablet", "Genealogy", "Narrative", "Colophon"], ["1", "Creation of Universe 1:1", "1:2 to 2:3", "\"This is the account of the heavens and of the earth when they were created.\" 2:4"], ["5", "Descendants of Shem, Ham, and Japeth 10:1 - 32", "11:1 - 9", "\"This is the account of Shem.\" 11:10"], ["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:... | Adam to Noah 5:1 - 32 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["4", "Adam Małysz", "POL", "127.0", "130.5", "261.5"], ["2", "Tami Kiuru", "FIN", "128.5", "130.5", "264.7"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["5", "Andreas Kofler", "AUT", "126.5", "132.0", "261.3"], ["1", "Ma... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3.5 | 128 | Answer: |
Table InputTable: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["UGCA 92", "Im", "04h 32m 04.9s", "+63° 36′ 49.0″", "-99 ± 5", "13.8"], ["UGCA 86", "Im", "03h 59m 50.5s", "+67° 08′ 37″", "67 ± 4", "13.5"], ["UGCA 105", "Im", "05h 14m 15.3s", "+62° 34′ 48″", "111 ± 5", "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:... | 13.5, 13.8, 13.9 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1.", "Brazil", "21", "9", "12", "42"], ["4.", "Australia", "1", "1", "1", "3"], ["9.", "Argentina", "0", "2", "0", "2"], ["8.", "Russia", "0", "2", "3", "5"], ["6.", "Estonia", "1", "0", "0", "1"], ["7.", "Germany", "0", "5", "1", "6"], ["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:... | 22 | 128 | Answer: |
Table InputTable: [["Year", "Song", "Album", "Position", "Chart"], ["1993", "\"Endlessly\"", "The Way I Am", "--", "Billboard Hot 100"], ["1993", "\"Ooh Child\"", "The Way I Am", "27", "Billboard Hot 100"], ["1989", "\"Sunshine\"", "24/7", "23", "Billboard Hot 100"], ["1989", "\"24/7\"", "24/7", "42", "Billboard Hot 10... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2011", "24", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete", "Injured, did not compete"], ["2007", "20", "33", "–"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name", "Sport", "Event", "Placing", "Performance"], ["Gad Tsobari", "Wrestling", "Freestyle — Light Flyweight <48 kg", "Group stage", "0W–2L"], ["Eliezer Halfin", "Wrestling", "Freestyle — Lightweight <68 kg", "Group stage", "1W–2L"], ["Mark Slavin", "Wrestling", "Greco-Roman — Middleweight <82 kg"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Eliezer Halfin | 128 | Answer: |
Table InputTable: [["Date", "Time", "", "Score", "", "Set 1", "Set 2", "Set 3", "Set 4", "Set 5", "Total", "Report"], ["19 Nov", "14:00", "Kazakhstan", "1–3", "South Korea", "22–25", "25–23", "18–25", "21–25", "", "86–98", "P2 P3"], ["21 Nov", "18:50", "Russia", "3–0", "Kazakhstan", "25–16", "25–18", "25–18", "", "", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | 128 | Answer: |
Table InputTable: [["Binary", "Octal", "Decimal", "Hexadecimal", "Glyph"], ["0011 0010", "062", "50", "32", "2"], ["0011 0100", "064", "52", "34", "4"], ["0011 0000", "060", "48", "30", "0"], ["0011 0011", "063", "51", "33", "3"], ["0011 0111", "067", "55", "37", "7"], ["0011 1000", "070", "56", "38", "8"], ["0011 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:... | 8 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2003", "European U23 Championships", "Bydgoszcz, Poland", "1st", "400 m hurdles", "48.45"], ["2002", "European Championships", "Munich, Germany", "4th", "400 m", "45.40"], ["2003", "European U23 Championships", "Bydgoszcz, Poland", "1s... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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, 2002, 2003 | 128 | Answer: |
Table InputTable: [["Season", "Class", "Moto", "Races", "Win", "Podiums", "Pole", "Pts", "Position"], ["2013", "Moto2", "Suter", "17", "3", "4", "1", "150", "7th"], ["2012", "Moto2", "Suter", "17", "0", "1", "0", "37", "17th"], ["2014", "Moto2", "Suter", "1", "0", "0", "0", "0*", "NC*"], ["2007", "125cc", "Derbi", "17"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 125cc | 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"], ["1955-1960", "164 000", "76 000", "88 000", "53.8", "24.9", "29.0", "6.96", "171"], ["1965-197... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["16", "Frédéric Protat", "Aprilia", "+1:15.858", ""], ["23", "Bernard Haenggeli", "Aprilia", "+2:41.806", ""], ["19", "Paolo Casoli", "Gilera", "+1:26.061", ""], ["12", "John Kocinski", "Suzuki", "+25.463", "4"], ["8", "Jean-Philippe Ruggia"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Juan Borja | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["2002", "Grand Prix Final", "Paris, France", "7th", "100 m hurdles"], ["2000", "Grand Prix Final", "Doha, Qatar", "4th", "100 m hurdles"], ["2003", "World Athletics Final", "Monaco", "6th", "100 m hurdles"], ["1998", "Grand Prix Final", "Moscow,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Grand Prix Final | 128 | Answer: |
Table InputTable: [["Season", "Footballer", "Club", "Position", "Nationality"], ["2002-03", "Moeneeb Josephs", "Ajax Cape Town", "GK", "South Africa"], ["2004-05", "Sandile Ndlovu", "Dynamos", "FW", "South Africa"], ["2001-02", "Jabu Pule", "Kaizer Chiefs", "MF", "South Africa"], ["2008-09", "Teko Modise", "Orlando Pir... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "United Kingdom", "3", "4", "7", "14"], ["10", "Yugoslavia", "3", "1", "1", "5"], ["11", "Netherlands", "1", "1", "2", "4"], ["2", "United States", "22", "18", "11", "51"], ["17", "Czechoslovakia", "0", "1", "0", "1"], ["12", "Bulgaria", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Recipient", "Nationality", "Profession", "Speech"], ["1997", "Elie Wiesel", "United States", "Professional writer\\nWinner of the Nobel Peace Prize (1986)", ""], ["2008", "David Be'eri, Mordechai Eliav, Rabbi Yehuda Maly", "Israel", "", ""], ["2009", "Caroline Glick", "Israel", "Journalist"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Professional writer Winner of the Nobel Peace Prize (1986) | 128 | Answer: |
Table InputTable: [["Iteration", "Dates", "Location", "Attendance", "Notes"], ["GameStorm 15", "March 21–24, 2013", "Hilton - Vancouver, WA", "1188", ""], ["GameStorm 13", "March 24–27, 2011", "Hilton - Vancouver, WA", "984", "Guests: Lisa Steenson, Michael A. Stackpole"], ["GameStorm 12", "March 25–28, 2010", "Hilton ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hilton - Vancouver, WA | 128 | Answer: |
Table InputTable: [["Rank", "Player Name", "No. of Titles", "Runner-up", "Final Appearances"], ["1", "Jansher Khan", "8", "1", "9"], ["2", "Jahangir Khan", "6", "3", "9"], ["17", "Mohibullah Khan", "0", "1", "1"], ["15", "Qamar Zaman", "0", "4", "4"], ["8", "Peter Nicol", "1", "2", "3"], ["17", "Karim Darwish", "0", "1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Year", "Name", "Label", "Hot Black Singles", "Club Play Singles"], ["1987", "\"Send It C.O.D.\"", "New Image", "―", "―"], ["1982", "\"Thanks to You\"", "Becket", "#44", "#1"], ["1983", "\"I Need You Now\"", "Jive", "―", "―"], ["1984", "\"Thin Line\"", "Power House", "―", "―"], ["1982", "\"He's Gonn... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Polling Firm", "Source", "Date Published", "N.Anastasiades", "G.Lillikas", "S.Malas", "Others"], ["Average (only valid votes)", "–", "–", "48.4%", "22.52%", "25.29%", "3.79%"], ["Evresis", "[18]", "1 February 2013", "40.8%", "19.9%", "22.2%", "2.5%"], ["Evresis", "[6]", "2 November 2012", "36.9%", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 February 2013 | 128 | Answer: |
Table InputTable: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["5", "Doug Lamborn", "Re-election", "Hal Bidlack", "Doug Lamborn"], ["4", "Marilyn Musgrave", "Re-election", "Betsy Markey", "Marilyn Musgrave"], ["1", "Dian... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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, 6 | 128 | Answer: |
Table InputTable: [["Player", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Cahill", "-", "-", "1", "1"], ["Griffiths", "1", "-", "-", "1"], ["Aloisi", "1", "4", "-", "5"], ["Milicic", "2", "-", "-", "2"], ["Bresciano", "2", "-", "1", "3"], ["Thompson", "1", "-", "2", "3"], ["Elrich... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rnd", "Circuit", "GTP Winning Team\\nGTP Winning Drivers", "GTO Winning Team\\nGTO Winning Drivers", "GTU Winning Team\\nGTU Winning Drivers", "Results"], ["6", "Laguna Seca", "#56 Blue Thunder Racing", "#77 Brooks Racing", "#99 All American Racers", "Results"], ["12", "Sears Point", "#56 Blue Thun... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Heywood H. Davis", "1958", "1959", "Kansas (1958)", "none"], ["Jerome B. Libin", "1959", "1960", "Michigan (1959)", "none"], ["Kenneth W. Dam", "1957", "1958", "Chicago (1957)", "none"], ["William C. Canby, Jr.", "1958", "1959... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 years | 128 | Answer: |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7HO", "Hobart", "0864", "AM", "Moved to FM in 1990 as 7HHO", "7RPH", "Commercial"], ["7HT", "Hobart", "1080", "AM", "Moved to FM in 1998 as 7XXX", "7TAB (HPON)", "Commercial"], ["7CAE", "Hobart", "092.1", "FM", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "Asian Games", "Doha, Qatar", "1st", "400 m", ""], ["2006", "Asian Games", "Doha, Qatar", "2nd", "4x400 m relay", ""], ["2007", "Universiade", "Bangkok, Thailand", "1st", "400 m", ""], ["2006", "World Cup", "Athens, Greece", "7t... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Sri Lanka (SRI)", "2", "0", "2", "4"], ["11", "Kyrgyzstan (KGZ)", "1", "1", "0", "2"], ["5", "South Korea (KOR)", "3", "2", "1", "6"], ["14", "Uzbekistan (UZB)", "0", "1", "3", "4"], ["12", "Kuwait (KUW)", "1", "0", "0", "1"], ["3", "Sau... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Grp", "Race Name", "Age", "Sex", "Weight", "Distance", "Date"], ["2", "AJC Challenge Stakes", "Open", "Open", "wfa", "1000", "March"], ["2", "Warwick Stakes", "Open", "Open", "wfa", "1400", "August"], ["3", "Liverpool City Cup", "Open", "Open", "qlty", "1300", "March"], ["3", "Silver Shadow Stakes"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | AJC Challenge Stakes, Warwick Stakes, Liverpool City Cup | 128 | Answer: |
Table InputTable: [["Series #", "Season #", "Title", "Notes", "Original air date"], ["12", "1", "\"Candy Sale\"", "Alfie and Goo are selling candy to make money for some expensive jackets, but they are not having any luck. However, when Dee Dee start helping them sell candy, they start to make money and asks him to hel... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Big Bully" | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["17", "2", "Sébastien Bourdais", "Newman/Haas Racing", "77", "Mechanical", "4", "0"], ["16", "11", "Geoff Boss", "Dale Coyne Racing", "83", "Mechanical", "19", "0"], ["2", "1", "Bruno Junqueira", "Newman/Haas Racing", "87", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rodolfo Lavín | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["1997 to 1999", "Smart Guy", "Marcus Henderson", "51 episodes"], ["1996", "Sister, Sister", "Darnell\\nNicky", "2 episodes"], ["1990", "Brewster Place", "Matthew Thomas", "5 episodes"], ["1993 to 1994", "Thea", "Jerome Turrell", "19 episodes"], ["2011", "The LeBro... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Smart Guy | 128 | Answer: |
Table InputTable: [["Year", "Premiers", "Score", "Runners Up", "Score"], ["2004", "Port Douglas Crocs", "17.13 (115)", "North Cairns Tigers", "8.9 (57)"], ["2006", "Manunda Hawks", "11.11 (77)", "Centrals Trinity Beach Bulldogs", "10.9 (69)"], ["2012", "Cairns Saints", "17.6 (108)", "North Cairns Tigers", "11.12 (78)"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["8", "8", "Chris Amon", "Cooper-Maserati", "44", "+ 4 laps", "7", ""], ["4", "6", "Jochen Rindt", "Cooper-Maserati", "46", "+ 2 laps", "5", "3"], ["Ret", "10", "John Surtees", "Cooper-Maserati", "5", "Fuel System", "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:... | 5 | 128 | Answer: |
Table InputTable: [["Team", "No", "Driver", "Class", "Rounds"], ["Eifelland Racing", "20", "Marc Coleselli", "R", "All"], ["Fortec Motorsport", "26", "Christof von Grünigen", "", "All"], ["Eifelland Racing", "19", "Côme Ledogar", "", "All"], ["Eifelland Racing", "18", "Facundo Regalia", "", "All"], ["Fortec Motorsport"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | DAMS | 128 | Answer: |
Table InputTable: [["Date introduced", "Class 1 (e.g. Motorbike)", "Class 2 (e.g. Car)", "Class 3 (e.g. Car with trailer)", "Class 4 (e.g. Van)", "Class 5 (e.g. HGV)"], ["1 January 2008", "£2.50", "£4.50", "£8.00", "£9.00", "£9.00"], ["1 January 2009", "£2.70", "£4.70", "£8.40", "£9.40", "£9.40"], ["1 March 2012", "£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:... | 9 December 2003 | 128 | Answer: |
Table InputTable: [["Year", "Premiers", "Score", "Runners Up", "Score"], ["2005", "Port Douglas Crocs", "19.14 (128)", "Cairns Saints", "4.11 (35)"], ["2004", "Port Douglas Crocs", "17.13 (115)", "North Cairns Tigers", "8.9 (57)"], ["2011", "Manunda Hawks", "11.8 (74)", "Port Douglas Crocs", "6.9 (45)"], ["2013", "Nort... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Celebrity", "Residence", "Famous for.../Occupation", "Age", "Status"], ["Úrsula Aguilar", "Málaga", "Miss Málaga 2011", "24", "11th Evicted"], ["Nagore Robles", "Bilbao", "Gran Hermano 11 Housemate", "28", "Winner"], ["Raquel Bollo", "Seville", "TV Host & ex-wife of Chiquetete", "43", "Runner-Up"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Úrsula Aguilar | 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)"], ["3", "Air Commodore K. M. Ahmad", "1979", "1980", "Pakistan Air Force Academy", "Fl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dr Abdus Salam | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["11", "27", "Bryan Herta", "PK Racing", "86", "+ 1 Lap", "12", "2"], ["16", "11", "Geoff Boss", "Dale Coyne Racing", "83", "Mechanical", "19", "0"], ["13", "19", "Joël Camathias", "Dale Coyne Racing", "85", "+ 2 Laps", "18", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rodolfo Lavín | 128 | Answer: |
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