context stringlengths 362 4.81k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | max_new_tokens int64 128 128 | answer_prefix stringclasses 1
value |
|---|---|---|---|---|
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1945/46", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1939/40", "N/A", "ASL", "2nd(t)", "No playoff", "Co-champion"], ["1934/35", "N/A", "ASL", "6th", "No playoff", "?"], ["1936/37", "N/A", "ASL", "2nd, American", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1945/46 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1.", "Brazil", "21", "9", "12", "42"], ["7.", "Germany", "0", "5", "1", "6"], ["4.", "Netherlands", "1", "1", "1", "3"], ["8.", "Russia", "0", "2", "3", "5"], ["10.", "Switzerland", "0", "1", "1", "2"], ["9.", "Argentina", "0", "2", "0", "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", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["September 3, 1988", "Fort Collins", "Air Force", "29", "Colorado State", "23", "AFA 18β8β1"], ["September 3, 1983", "Fort Collins", "Air Force", "34", "Colorado State", "13", "AFA 13β8β1"], ["October 19, 1985"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["", "Club", "Played", "Won", "Drawn", "Lost", "Points For", "Points Against", "Points Difference", "Tries For", "Tries Against", "Try Bonus", "Losing Bonus", "Points"], ["3", "Leicester Tigers (SF)", "22", "15", "2", "5", "542", "430", "112", "59", "41", "7", "3", "74"], ["11", "Newcastle Falcons", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Saracens (RU) | 128 | Answer: |
Table InputTable: [["ZOOM", "Cast Member 1", "Cast Member 2", "Cast Member 3", "Cast Member 4", "Cast Member 5", "Cast Member 6", "Cast Member 7"], ["Season 2 (2000)", "Raymond \"Ray\" MacMore", "Caroline Botelho", "Claudio Schwartz", "Alisa Besher", "Jessica \"Jessie\" Ogungbadero", "Kenneth \"Kenny\" Yates", "Zoe Cos... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Song", "Album", "Position", "Chart"], ["1991", "\"Gentle\"", "Swingin'", "31", "Billboard Hot 100"], ["1989", "\"Sunshine\"", "24/7", "23", "Billboard Hot 100"], ["1993", "\"Endlessly\"", "The Way I Am", "--", "Billboard Hot 100"], ["1993", "\"Ooh Child\"", "The Way I Am", "27", "Billboard ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Never 2 Much of U" | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Nation", "Swimmers", "Time", "Time behind", "Notes"], ["", "5", "Australia", "Grant Hackett (1:47.50)\\nMichael Klim (1:47.62)\\nNicholas Sprenger (1:48.16)\\nIan Thorpe (1:44.18)", "7:07.46", "0.13", ""], ["4", "6", "Great Britain", "Simon Burnett (1:47.90)\\nGavin Meadows (1:48.46... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Grant Hackett | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par"], ["T4", "Michael Campbell", "New Zealand", "71-69-71=211", "+1"], ["T4", "Mark Hensby", "Australia", "71-68-72=211", "+1"], ["T7", "Lee Westwood", "England", "68-72-73=213", "+3"], ["T2", "Jason Gore", "United States", "71-67-72=210", "E"], ["T7", "K.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Michael Campbell, Mark Hensby | 128 | Answer: |
Table InputTable: [["Season", "Tier", "League", "Pos.", "Postseason", "German Cup", "European competitions"], ["2002β03", "1", "Bundesliga", "2", "Finalist", "β", "β"], ["2001β02", "1", "Bundesliga", "7", "Quarterfinalist", "β", "β"], ["1991β92", "1", "Bundesliga", "2", "Semifinalist", "Champion", "β"], ["2006β07", "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: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["1996", "130", "", "", ""], ["1994", "154", "", "", ""], ["1997", "141", "", "", ""], ["1998", "153", "14", "", ""], ["1995", "139", "", "", ""], ["2009", "no data", "12", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2001 | 128 | Answer: |
Table InputTable: [["Film", "Film", "Date"], ["Kodachrome II film", "Professional, 35Β mm, Type A (ASA 40)", "1962β1978"], ["Kodachrome II film", "S-8, Type A (ASA 40)", "1965β1974"], ["Kodachrome II film", "35Β mm and 828, daylight (ASA 25/early) (ASA 64/late)", "1961β1974"], ["Kodachrome film", "35Β mm and 828, Type 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:... | 1961 | 128 | Answer: |
Table InputTable: [["Year", "Kit Manufacturer", "Shirt Sponsor", "Back of Shirt Sponsor", "Short Sponsor"], ["1991β1993", "Technik", "Gulf Oil", "", ""], ["2009β2011", "Errea", "Mira Showers", "PSU Technology Group", ""], ["2004β2008", "Errea", "Bence Building Merchants", "", ""], ["1996β1997", "UK", "Endsleigh Insuran... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["2", "August 13, 1988", "St. Louis, Missouri", "Jamaica", "2β1", "5-1", "1990 World Cup qualifying"], ["11", "February 20, 1994", "Miami, Florida", "Sweden", "1β3", "1β0", "Friendly"], ["3", "September 17, 1989", "Tegucigalpa, Hon... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["November 12", "atΒ #20Β Mississippi State", "#6", "Scott Field β’ Starkville, MS (Rivalry)", "ABC", "WΒ 29β25", "41,358"], ["October 22", "Ole Miss", "#8", "BryantβDenny Stadium β’ Tuscaloosa, AL (Rivalry)", "ABC", "WΒ 21β10", "70,123"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Bruno Brazil", "1973β1977", "5", "Greg", "Magic-Strip", "William Vance drew the comics, Follet provided the page lay-out"], ["Terreur", "2002β2004", "2", "AndrΓ©-Paul DuchΓ’teau", "Le Lombard", "Fictional biography of Madame Tussaud"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Magic-Strip | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["3", "61", "Rich Yonakor", "", "United States", "North Carolina"], ["1", "15", "Reggie Johnson", "PF/C", "United States", "Tennessee"], ["5", "107", "Gib Hinz", "", "United States", "Wisconsin-Eau Claire"], ["3", "60", "Lavo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Calvin Roberts | 128 | Answer: |
Table InputTable: [["Date", "Location", "Air/Ground", "Number", "Type", "Status"], ["13 April 1944", "West of Mannheim, Germany", "Air", "1", "FW-190", "Destroyed"], ["24 April 1944", "South of Munich, Germany", "Air", "3", "Me-110", "Destroyed"], ["11 April 1944", "20 miles northeast of Magdeburg, Germany", "Air", "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:... | 4.5 | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1935/36", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1933/34", "N/A", "ASL", "2nd", "No playoff", "?"], ["1942/43", "N/A", "ASL", "6th", "No playoff", "?"], ["1947/48", "N/A", "ASL", "6th", "No playoff", "?"], ["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:... | 21 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["7", "36", "Bob Anderson", "Brabham-Climax", "44", "+ 4 laps", "12", ""], ["6", "44", "John Taylor", "Brabham-BRM", "45", "+ 3 laps", "15", "1"], ["3", "14", "Denny Hulme", "Brabham-Repco", "46", "+ 2 laps", "9", "4"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jack Brabham | 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"], ["1", "September 8, 1986", "New York Giants", "W 31β28", "Texas Stadium", "[1]", "59,804"], ["2", "September 14, 1986", "at Det... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Competition", "Total spectatorship", "Average match attendance", "Year"], ["Australian Football League", "6,931,085", "33,484", "2013"], ["Super Rugby", "773,940", "19,348", "2012"], ["Rugby Championship", "133,532", "44,511", "2012"], ["A-League", "1,772,133", "12,707", "2012/2013"], ["National Ru... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | National Basketball League | 128 | Answer: |
Table InputTable: [["Season", "Episodes", "Time slot (EST)", "Original airing\\nSeason premiere", "Original airing\\nSeason finale", "Original airing\\nTV season", "Rank", "Viewers\\n(in millions)"], ["4", "23", "Thursday 9pm/8c", "SeptemberΒ 25,Β 2003", "May 20, 2004", "2003β2004", "#2", "25.27"], ["5", "25", "Thursday ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | 128 | Answer: |
Table InputTable: [["Date", "Location", "Air/Ground", "Number", "Type", "Status"], ["27 November 1944", "South of Magdeburg, Germany", "Air", "4", "FW-190", "Destroyed"], ["13 April 1944", "West of Mannheim, Germany", "Air", "1", "FW-190", "Destroyed"], ["16 March 1944", "20 miles south of Stuttgart, Germany", "Air", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Me-110 | 128 | Answer: |
Table InputTable: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS Dance", "Peak chart positions\\nUS Pop", "Peak chart positions\\nUS R&B", "Peak chart positions\\nGER", "Peak chart positions\\nNL", "Peak chart positions\\nNOR", "Peak chart positions\\nNZ", "Peak chart positions\\nSWI", "Peak... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "It's Raining Men" | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["2", "22", "Mike Parkes", "Ferrari", "48", "+ 9.5", "3", "6"], ["6", "44", "John Taylor", "Brabham-BRM", "45", "+ 3 laps", "15", "1"], ["5", "26", "Dan Gurney", "Eagle-Climax", "45", "+ 3 laps", "14", "2"], ["8", "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:... | 5 | 128 | Answer: |
Table InputTable: [["Season", "Episodes", "Time slot (EST)", "Original airing\\nSeason premiere", "Original airing\\nSeason finale", "Original airing\\nTV season", "Rank", "Viewers\\n(in millions)"], ["9", "24", "Thursday 9pm/8c", "OctoberΒ 9,Β 2008", "May 14, 2009", "2008β2009", "#4", "18.52"], ["5", "25", "Thursday 9pm... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 11.63 million | 128 | Answer: |
Table InputTable: [["Name", "City", "Hospital beds", "Operating rooms", "Total", "Trauma designation", "Affiliation", "Notes"], ["Grace Hospital", "Morganton", "184", "7", "191", "-", "CHS", "-"], ["Select Specialty Hospital - Durham", "Durham", "30", "0", "30", "-", "-", "-"], ["Martin General Hospital", "Williamston"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Model", "Volume", "Engine", "Fuel", "Power/Torque", "Years produced", "Produced"], ["728i", "2.8L", "M52B28 I6", "Petrol", "142Β kW (193Β PS; 190Β hp) / 280Β NΒ·m (207Β lbΒ·ft)", "1996β2001", "38947"], ["728iL", "2.8L", "M52B28 I6", "Petrol", "142Β kW (193Β PS; 190Β hp) / 280Β NΒ·m (207Β lbΒ·ft)", "1996β2001", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Year", "Single", "Chart Positions\\nUS Country", "Chart Positions\\nUS", "Album"], ["1963", "\"Bad News\" (b/w \"Guitar Player(Her and Him)\")", "23", "β", "singles only"], ["1965", "\"That Ain't All\"", "20", "β", "singles only"], ["1962", "\"Thou Shalt Not Steal\"", "β", "73", "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:... | 16 | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Rex King", "1", "1995", "", ""], ["Rex King", "2", "1995", "", ""], ["Glamour Boy Shane", "1", "April 2, 1999", "Guaynabo, Puerto Rico", "Defeated \"Jungle\" Jim Steele for vacant title."], ["Rex King", "3", "March 19, 2000", "Cabo Rojo, Puerto... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pulgarcito | 128 | Answer: |
Table InputTable: [["Name", "Nationality", "From", "To", "Honours", "Comments"], ["Anders Theil", "Denmark", "7 November 2005", "7 July 2009", "", "Originally had contract until summer 2011"], ["RenΓ© Heitmann", "Denmark", "17 July 2010", "27 July 2010", "", "Never coached the team in a match"], ["John 'Tune' Kristianse... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Christian Andersen | 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:... | Herman Wouk | 128 | Answer: |
Table InputTable: [["Name", "Topic", "Cost", "Target age", "Advertising"], ["IXL", "Math", "$80/year", "4-12", "?"], ["Fact Monster", "World & News, U.S., People, English, Science, Math & Money, Sports", "Free", "4-14 (K-8)", "Yes"], ["BrainPop", "Science, Social studies, English, Maths, Art & Music, Health, Technology... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Math | 128 | Answer: |
Table InputTable: [["Aircraft", "Origin", "Type", "In service", "Notes"], ["Cessna 208 Caravan", "USA", "Light transport", "1", "in service since 2007"], ["Cessna 404 Titan", "USA", "Light transport", "0", "1 in service with the Air Wing from 1991 to 2008"], ["Cessna 421C Golden Eagle", "USA", "Light transport", "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:... | Cessna 404 Titan | 128 | Answer: |
Table InputTable: [["Aircraft", "Origin", "Type", "In service", "Notes"], ["Cessna 421C Golden Eagle", "USA", "Light transport", "0", "1 in service with the Air Wing from 1988 to 2002"], ["Cessna 404 Titan", "USA", "Light transport", "0", "1 in service with the Air Wing from 1991 to 2008"], ["Aero Commander 500", "USA"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Goal", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["1", "2008-5-28", "Sheriff Stadium, Tiraspol, Moldova", "Moldova", "0-1", "2β2", "Friendly match"], ["3", "2011-6-4", "Petrovsky Stadium, Saint Petersburg, Russia", "Russia", "0-1", "3β1", "Euro 2012 Q"], ["2", "2010-10-12", "H... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Moldova | 128 | Answer: |
Table InputTable: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["27", "Stade SΓ©bastien CharlΓ©ty", "20,000", "Paris", "Γle-de-France", "Paris FC", "1938"], ["4", "Parc des Princes", "48,712", "Paris", "Γle-de-France", "Paris Saint-Germain FC", "1897"], ["10", "Stadium Municipal", "35,575", "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:... | Paris | 128 | Answer: |
Table InputTable: [["Team", "City", "Venue", "Capacity", "Head Coach", "Team Captain", "Past Season"], ["Foolad", "Ahvaz", "Takhti Ahvaz", "15,000", "Majid Jalali", "Ali Badavi", "Qualifier"], ["Damash Gilan", "Rasht", "Sardar Jangal", "15,000", "Stanko PoklepoviΔ", "Mohammad Reza Mahdavi", "15th"], ["Rah Ahan", "Rey, ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Episodes", "Season Premiere", "Season Finale"], ["1", "20", "March 4, 2006", "May 13, 2006"], ["3", "44", "October 15, 2007", "June 2, 2008"], ["2", "52", "October 7, 2006", "July 16, 2007"], ["4", "48", "October 13, 2008", "May 11, 2009"], ["6", "20", "September 6, 2010", "December 6, 20... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | March 4, 2006 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Game site", "NFL Recap", "Attendance"], ["13", "November 27, 1986", "Seattle Seahawks", "L 14β31", "Texas Stadium", "[13]", "58,020"], ["16", "December 21, 1986", "Chicago Bears", "L 10β24", "Texas Stadium", "[16]", "57,256"], ["12", "November 23, 1986", "at Wa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Iteration", "Dates", "Location", "Attendance", "Notes"], ["GameStorm 15", "March 21β24, 2013", "Hilton - Vancouver, WA", "1188", ""], ["GameStorm 10", "March 2008", "Red Lion - Vancouver, WA", "750", "-"], ["GameStorm 12", "March 25β28, 2010", "Hilton - Vancouver, WA", "802", "Board games Guest of ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | March 26-29, 2009 | 128 | Answer: |
Table InputTable: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["1", "KR", "18", "11", "4", "3", "27", "14", "+13", "37", "UEFA Champions League"], ["10", "Leiftur", "18", "3", "7", "8", "24", "39", "-15", "16", "Relegated"], ["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:... | KR | 128 | Answer: |
Table InputTable: [["Rank", "Player", "Nation", "Club", "Goals"], ["1", "Jhonny Arteaga", "COL", "FC New York", "13"], ["2", "Matthew DelicΓ’te", "ENG", "Richmond Kickers", "10"], ["6", "Andriy Budnyy", "UKR", "Wilmington Hammerheads", "8"], ["9", "Sallieu Bundu", "SLE", "Charlotte Eagles", "7"], ["9", "Chris Banks", "U... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 102 | 128 | Answer: |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Total", "53", "11", "14", "78"], ["Tomislav Kostadinov", "0", "0", "1", "1"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Emil Gargorov", "2", "0", "0", "2"], ["Pavel Vidanov", "0", "0", "1", "1"], ["Kostadin Stoyanov", "1", "0", "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:... | 78 | 128 | Answer: |
Table InputTable: [["School", "2007", "2008", "2009", "2010", "2011"], ["Marc and Eva Stern Math and Science School", "718", "792", "788", "788", "809"], ["Woodrow Wilson High School", "582", "585", "600", "615", "636"], ["Santee Education Complex", "", "502", "521", "552", "565"], ["Francisco Bravo Medical Magnet High... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Francisco Bravo Medical Magnet High School, 2007 | 128 | Answer: |
Table InputTable: [["Time", "Wind", "Auto", "Athlete", "Nationality", "Location of race", "Date"], ["20.6", "", "20.75", "Bobby Morrow", "United States", "Melbourne, Australia", "November 27, 1956"], ["20.6", "", "", "Ray Norton", "United States", "Philadelphia, United States", "April 30, 1960"], ["20.6", "0.0", "", "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:... | 1956 | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["1", "9", "Scott Dixon", "Chip Ganassi Racing", "85", "1:46:05.7985", "3", "51", "52"], ["20", "24", "Mike Conway (R)", "Dreyer & Reinbold Racing", "69", "Mechanical", "16", "0", "12"], ["4", "14", "Ryan Hunter-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:... | Ryan Hunter-Reay | 128 | Answer: |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7EX", "Launceston", "1008", "AM", "Moved to FM in 2008 as 7EXX", "silent", "Commercial"], ["7ZL", "Hobart", "0603", "AM", "Changed call to 7RN in 1991", "7RN", "National"], ["7UV", "Ulverstone", "", "AM", "Moved ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7EXX | 128 | Answer: |
Table InputTable: [["Thread\\nnominal size", "Outer diameter\\n[mm (in)]", "Threads per inch\\n(TPI)", "Pitch\\n[in (mm)]", "Inner diameter\\n[mm (in)]", "Cable diameter\\n[mm (in)]"], ["PG29", "37.0 (1.457)", "16", "0.0625 (1.5875)", "35.48 (1.397)", "18 to 25 (0.709 to 0.984)"], ["PG9", "15.5 (0.610)", "18", "0.05556... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Winner", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Win $"], ["2000", "Gaviola", "Jerry D. Bailey", "William H. Turner, Jr.", "Twilite Farms", "1-1/8", "1:48.89", "$150,000"], ["1988", "Topicount", "Angel Cordero, Jr.", "H. Allen Jerkens", "Centennial Farms", "1", "1:38.00... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["14", "Jean-Michel Bayle", "Aprilia", "+1:15.546", "2"], ["Ret", "Jean-Pierre Jeandat", "Aprilia", "Retirement", ""], ["19", "Paolo Casoli", "Gilera", "+1:26.061", ""], ["8", "Jean-Philippe Ruggia", "Aprilia", "+3.985", "8"], ["Ret", "Luis 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:... | Juan Borja | 128 | Answer: |
Table InputTable: [["Position", "Player", "Transferred From", "Date"], ["MF", "Mohd Noor Ali", "Geylang United", "1 January 2010"], ["FW", "Laakkad Abdelhadi", "Free Transfer", "1 January 2010"], ["GK", "Fajar Sarib", "Geylang United", "1 January 2010"], ["MF", "Guntur Djafril", "SAFFC", "1 January 2010"], ["FW", "Riza... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Result", "Date", "Category", "Tournament", "Surface", "Partnering", "Opponents", "Score"], ["Runner-up", "29 January 1984", "$100,000", "Marco Island, United States", "Clay", "Andrea Jaeger", "Hana MandlΓkovΓ‘\\n Helena SukovΓ‘", "6β3, 2β6, 2β6"], ["Winner", "27 November 1983", "$150,000", "Sydney, A... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | United States | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["1", "1", "Alain Prost", "McLaren-TAG", "82", "1:54:20.388", "4", "9"], ["2", "6", "Nelson Piquet", "Williams-Honda", "82", "+ 4.205", "2", "6"], ["4", "3", "Martin Brundle", "Tyrrell-Renault", "81", "+ 1 Lap", "16", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Nation", "Swimmers", "Time", "Time behind", "Notes"], ["6", "3", "Germany", "Jens Schreiber (1:49.08)\\nHeiko Hell (1:49.15)\\nLars Conrad (1:48.23)\\nChristian Keller (1:50.05)", "7:16.51", "9.18", ""], ["7", "8", "France", "Amaury Leveaux (1:48.57)\\nFabien Horth (1:48.67)\\nNicol... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["9", "Ben Hogan", "United States", "75-71-72-72=290", "+2", "125"], ["8", "Henry Picard", "United States", "71-71-76-71=289", "+1", "175"], ["1", "Ralph Guldahl", "United States", "72-68-70-69=279", "β9", "1,500"], ["6", "Craig Wood", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | $50 | 128 | Answer: |
Table InputTable: [["Award", "Category", "Nominee", "Result"], ["Golden Globe Awards, 1972", "Best Actor", "Gene Hackman", "Won"], ["BAFTA, 1972", "Best Actor", "Gene Hackman", "Won"], ["National Society of Film Critics, 1972", "Best Actor", "Gene Hackman", "Nominated"], ["Kansas City Film Critics Circle, 1972", "Best ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | National Society of Film Critics, Best Actor | 128 | Answer: |
Table InputTable: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Shelena", "2005", "1", "JΓ©romine Pasteur", "Casterman", ""], ["Daddy", "1991-92", "2", "Loup Durand", "Cl. Lefrancq", ""], ["L'affaire Dominici", "2010", "1", "Pascal Bresson", "GlΓ©nat", ""], ["Les zingari", "2004β2005", "2", "Yvan Delp... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bruno Brazil | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["Quarterfinals-2", "2008..", "[[]]", "[[]]", "-"], ["Quarterfinals-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-5", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "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:... | GL-B-1 | 128 | Answer: |
Table InputTable: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2008", "Matt Jordan", "Nevio Pizzolitto", "Joey Gjertsen", "Stefano Pesoli"], ["2011", "Hassoun Camara", "Evan Bush", "Simon Gatti", "Ian Westlake / Sinisa Ubiparipovic"], ["2010", "Philippe Billy", "Philippe Bi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2003", "All-Africa Games", "Abuja, Nigeria", "11th (h)", "800 m", "2:05.19"], ["2009", "World Championships", "Berlin, Germany", "36th (h)", "800 m", "2:06.72"], ["2006", "Lusophony Games", "Macau", "1st", "800 m", "2:07.34"], ["2011",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["1", "1", "Going Up!", "October 25, 1998", "101"], ["4", "4", "Close Encounters", "November 15, 1998", "104"], ["8", "8", "Special FX-Ation", "January 24, 1999", "108"], ["5", "5", "Hurricane Jules", "November 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:... | 1 | 128 | Answer: |
Table InputTable: [["Result", "Record", "Opponent", "Method", "Date", "Round", "Location"], ["Loss", "24-1-0", "Brad Simmons", "KO", "1934 Jan 01", "1", "Cambridge, Massachusetts"], ["Loss", "31-3-0", "J.H. Isbell", "KO", "1934 Mar 31", "2", "Cambridge, Massachusetts"], ["Loss", "31-2-0", "\"Modest\" Bill Smith", "KO",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Association", "Joining year", "Men's team", "Women's team", "League"], ["Japan", "2002", "Japan", "Japan", "J. League"], ["Korea Republic", "2002", "Korea Republic", "Korea Republic", "K-League"], ["Mongolia", "2002", "Mongolia", "Mongolia", "Mongolia Premier League"], ["China PR", "2002", "China",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2002 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Club", "Nationality", "Points"], ["8", "Georgi Asparuhov", "Levski Sofia", "Bulgaria", "9"], ["17", "Milan GaliΔ", "Partizan Beograd", "Yugoslavia", "2"], ["13", "Ferenc PuskΓ‘s", "Real Madrid", "Spain", "5"], ["17", "Slava Metreveli", "Dinamo Tbilisi", "Soviet Union", "2"], ["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:... | Georgi Asparuhov | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Lanny Poffo", "1", "May 10, 1978", "San Francisco, California", "Defeated Joe Banek to become the first champion"], ["Randy Savage", "2", "1981", "Unknown", ""], ["Randy Savage", "3", "1982", "Unknown", ""], ["Randy Savage", "1", "March 13, 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:... | Randy Savage | 128 | Answer: |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["7 Apr 1951", "Reading", "A", "0β5", "", "12,939"], ["18 Nov 1950", "Reading", "H", "5β0", "Birch 2, Parker, Shergold, Aston", "8,529"], ["10 Mar 1951", "Gillingham", "A", "1β0", "Birch", "9,040"], ["24 Feb 1951", "Millwall", "A", "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:... | Northampton Town | 128 | Answer: |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["1994", "16 Mar 1994", "Vail, CO, USA", "Downhill", "3rd"], ["1994", "13 Mar 1994", "Whistler, BC, Canada", "Super G", "1st"], ["1995", "11 Dec 1994", "Tignes, France", "Super G", "2nd"], ["1994", "12 Mar 1994", "Whistler, BC, Canada", "Downhill... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1994 | 128 | Answer: |
Table InputTable: [["Team 1", "Agg.", "Team 2", "1st leg", "2nd leg"], ["C.D. Motagua", "0 - 1 (Replay)", "CSD Comunicaciones", "", ""], ["C.D. Motagua", "2 - 2", "CSD Comunicaciones", "1 - 1", "1 - 1"], ["L.D. Alajuelense", "11 - 1", "C.D. Plaza Amador", "4 - 1", "7 - 0"], ["Real C.D. EspaΓ±a", "6 - 0", "Acros Real Ver... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Lane", "Nation", "Swimmers", "Time", "Time behind", "Notes"], ["", "7", "Italy", "Emiliano Brembilla (1:48.16)\\nMassimiliano Rosolino (1:46.24)\\nSimone Cercato (1:49.85)\\nFilippo Magnini (1:47.58)", "7:11.83", "4.50", ""], ["", "4", "United States", "Michael Phelps (1:46.49)\\nRyan Locht... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Massimiliano Rosolino | 128 | Answer: |
Table InputTable: [["Leg", "Stage", "Time", "Name", "Length", "Winner", "Time", "Avg. spd.", "Rally leader"], ["1\\n(16 Feb)", "SS3", "11:24", "Loten 2", "30.30Β km", "M. Hirvonen", "16:09.9", "112.47Β km/h", "M. Hirvonen"], ["3\\n(18 Feb)", "SS16", "08:55", "Ringsaker 2", "27.30Β km", "H. Solberg", "15:28.6", "105.84Β km/... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Parish", "Church name", "Location", "Year built"], ["Levanger", "Levanger Church", "Levanger", "1902"], ["Alstadhaug", "Alstadhaug Church", "Alstadhaug", "1180"], ["Markabygd", "Markabygda Church", "Markabygd", "1887"], ["Levanger", "Bamberg Church", "Levanger", "1998"], ["Γ
sen", "Γ
sen Church", "Γ
s... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Levanger | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Soviet Union", "26", "17", "15", "58"], ["10", "Yugoslavia", "3", "1", "1", "5"], ["17", "Czechoslovakia", "0", "1", "0", "1"], ["Total", "Total", "82", "80", "80", "242"], ["2", "United States", "22", "18", "11", "51"], ["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:... | 109 | 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)"], ["9 December 2003", "Β£1.00", "Β£2.00", "Β£5.00", "Β£5.00", "Β£10.00"], ["1 March 2011", "Β£3.00", "Β£5.30", "Β£9.60", "Β£10.60", "Β£10.60"], ["1 March 2012", "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:... | Class 4 (e.g. Van) | 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"], ["1", "Daytona", "#00 Kreepy Krauly Racing", "#4 Stratagraph Inc.", "#76 Malibu Grand Prix", "Results"], ["4", "Road Atlanta", "#16 Marty Hinze ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Daytona | 128 | Answer: |
Table InputTable: [["Name", "Title", "Date from", "Date until", "Russian state", "Austrian state"], ["Andrey Kirillovich Razumovsky", "Ambassador", "5 October 1801", "7 September 1806", "Russian Empire", "Holy Roman Empire/Austrian Empire"], ["Yury Aleksandrovich Golovkin", "Envoy", "9 November 1818", "16 September 182... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Russian Empire | 128 | Answer: |
Table InputTable: [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["2", "Alexandr KolobnevΒ (RUS)", "Team CSC Saxo Bank", "s.t.", "30"], ["6", "Denis MenchovΒ (RUS)", "Rabobank", "s.t.", "11"], ["5", "Franco PellizottiΒ (ITA)", "Liquigas", "s.t.", "15"], ["8", "StΓ©phane GoubertΒ (FRA)", "Ag2r-La Mondiale", "+... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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:... | 7 | 128 | Answer: |
Table InputTable: [["Rank", "Heat", "Name", "Nationality", "Time", "Notes"], ["6", "1", "Vissanu Sophanich", "Thailand", "10.87", ""], ["", "3", "Sudath Ravindra Kumara", "Sri Lanka", "DQ", ""], ["2", "3", "Reanchai Srihawong", "Thailand", "10.72", "Q"], ["", "1", "Khalil Al-Hanahneh", "Jordan", "DNS", ""], ["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:... | Salem Al-Yami | 128 | Answer: |
Table InputTable: [["Year", "Wins (majors)", "Earnings ($)", "Rank"], ["1992", "3", "1,191,630", "2"], ["2008", "1", "1,695,237", "48"], ["1989", "0", "278,760", "44"], ["2003", "4", "6,081,896", "3"], ["1988", "0", "156,068", "75"], ["2002", "0", "2,056,160", "21"], ["1986", "0", "113,245", "77"], ["2012", "0", "989,7... | 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:... | 2003 | 128 | Answer: |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2004", "17", "112", "β", "β", "51", "β", "β"], ["2009", "22", "9", "β", "40", "2", "5", "50"], ["2008", "21", "38", "β", "β", "35", "13", "β"], ["2005", "18", "37", "β", "27", "18", "49", "β"], ["2011", "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:... | 103 | 128 | Answer: |
Table InputTable: [["Player", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Milicic", "2", "-", "-", "2"], ["Bresciano", "2", "-", "1", "3"], ["Chipperfield", "1", "-", "1", "2"], ["Viduka", "1", "-", "2", "3"], ["Zdrilic", "1", "-", "-", "1"], ["Cahill", "-", "-", "1", "1"], ["Emer... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["Year", "Record", "Finish", "Manager", "Playoffs"], ["1966", "63-84", "10th", "George Case", ""], ["1965", "75-72", "6th (t)", "George Case", ""], ["1976", "77-68", "2nd", "Roy Hartsfield", "League Champs"], ["1984", "87-53", "1st", "Tommy Sandt", "Lost League Finals"], ["1977", "79-67", "2nd", "Dic... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Wayne Terwilliger | 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"], ["1", "Sunday", "November 10", "3:05pm", "at Las Vegas Legends", "L 3β7", "0β1", "Orl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bay Area Rosal | 128 | Answer: |
Table InputTable: [["Locomotive", "Name", "Serial No", "Entered Service", "Livery"], ["9035", "-", "05-1695", "Nov 05", "Pacific National"], ["9032", "-", "05-1692", "Nov 05", "Pacific National"], ["9034", "-", "05-1694", "Nov 05", "Pacific National"], ["9033", "-", "05-1693", "Nov 05", "Pacific National"], ["9002", "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: [["No", "Driver", "Entrant", "Constructor", "Chassis", "Engine"], ["10", "Cleto Nenzioni", "Private entry", "Maserati", "Maserati 26B", "2.1 L8"], ["6", "Clemente Biondetti", "Scuderia Materassi", "Talbot", "Talbot 700", "1.5 L8"], ["8", "Pietro Nicolotti", "Private entry", "Alfa Romeo", "Alfa Romeo 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:... | 1 | 128 | Answer: |
Table InputTable: [["Pick #", "NFL Team", "Player", "Position", "College"], ["1", "Baltimore Colts (Lottery bonus pick)", "George Shaw", "Quarterback", "Oregon"], ["6", "Pittsburgh Steelers", "Frank Varrichione", "Tackle", "Notre Dame"], ["5", "Green Bay Packers", "Tom Bettis", "Guard", "Purdue"], ["8", "New York Giant... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | halfback | 128 | Answer: |
Table InputTable: [["#", "Player", "Goals", "Caps", "Career"], ["5", "Joe-Max Moore", "24", "100", "1992β2002"], ["1", "Landon Donovan", "57", "155", "2000βpresent"], ["2", "Clint Dempsey", "36", "103", "2004βpresent"], ["8", "Eddie Johnson", "19", "62", "2004βpresent"], ["6T", "Bruce Murray", "21", "86", "1985β1993"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 76 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "SwitzerlandΒ (SUI)", "0", "2", "1", "3"], ["2", "ItalyΒ (ITA)", "1", "1", "1", "3"], ["3", "GermanyΒ (EUA)", "1", "0", "1", "2"], ["7", "FranceΒ (FRA)", "0", "0", "1", "1"], ["1", "AustraliaΒ (AUS)", "2", "1", "0", "3"], ["7", "Great BritainΒ ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 (USA) | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["25 March 1961", "Newcastle United", "A", "6-1", "28,975", "Greaves (4), Tindall (2)"], ["29 April 1961", "Nottingham Forest", "H", "4-3", "22,775", "Greaves (4)"], ["11 March 1961", "Burnley", "A", "4-4", "19,435", "Greaves (2), Tamb... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["3", "Tom Lehman", "United States", "70-72-67-74=283", "+3", "131,974"], ["T10", "Vijay Singh", "Fiji", "70-71-72-72=285", "+5", "44,184"], ["T4", "Jeff Magge... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Divisions", "Prize (EUR)", "Odds of winning (1Β in)", "Number of winning tickets", "In order to win"], ["Sub", "180.00", "2,000", "2", "Nearest number to 1st prize"], ["Sub", "180.00", "2,000", "2", "Nearest number to 3rd prize"], ["Sub", "180.00", "2,000", "2", "Nearest number to 2nd prize"], ["All... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["August 30", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 2, Home", "KÀerjeng", "Stade Maurice Dufrasne, Liège", "1-0"], ["August 16", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 1, Away", "KÀerjeng", "S... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lose | 128 | Answer: |
Table InputTable: [["Character", "Real name", "Home world", "Membership notes", "Powers"], ["Chameleon Girl", "Yera Allon", "Durla", "Pre-Crisis version first appeared (impersonating Shrinking Violet) in Legion of Super-Heroes vol. 2, #286 (April 1982).\\nTrue form and identity revealed in Legion of Super-Heroes vol. 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:... | Chameleon Girl | 128 | Answer: |
Table InputTable: [["Naturalisations by origin", "2000", "2005", "2009", "% Total 2009"], ["CIS (Asia)", "181", "573", "250", "0.2"], ["CIS (Europe)", "1 000", "1 535", "4 454", "3.3"], ["Europe (not including CIS )", "22 085", "18 072", "14 753", "10.9"], ["South-East Asia", "7 265", "4 069", "2 475", "1.8"], ["Asia",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Oceania | 128 | Answer: |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2002/03", "RAEC Mons", "Jupiler League", "19", "0"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["2006/07", "KSV Roeselare", "Jupiler League", "29", "1"], ["2007/08", "KSV Roeselare", "Jupiler League", "25", "0"], ["2008/09", "Exc... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Series #", "Season #", "Title", "Notes", "Original air date"], ["11", "1", "\"Alfie's Birthday Party\"", "Goo and Melanie pretend they are dating and they leave Alfie out of everything. He ends up bored and starts hanging out with Dee Dee and his friends. However, it just isn't the same without Goo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | October 15, 1994 | 128 | Answer: |
Table InputTable: [["Result", "Date", "Category", "Tournament", "Surface", "Partnering", "Opponents", "Score"], ["Runner-up", "23 April 1984", "$200,000", "Orlando, United States", "Clay", "Wendy Turnbull", "Claudia Kohde-Kilsch\\n Hana MandlΓkovΓ‘", "0β6, 6β1, 3β6"], ["Runner-up", "29 January 1984", "$100,000", "Marco ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Route", "Destinations", "Via", "Frequency\\n(minutes)", "Peak Hours Only", "Former"], ["14", "Train Station\\nCataraqui Town Centre / Midland Avenue", "Waterloo-Davis\\nMultiplex", "30", "", "(formerly Route A)"], ["16", "Train Station\\nBus Terminal", "Kingston Centre", "30", "", "(formerly Route ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["#", "Office", "Current Officer"], ["", "May serve as Emergency Interim Successor", ""], ["4", "Speaker of the House of Representatives", "W. Ken Martinez"], ["", "May succeed to Governorship", ""], ["", "Governor of New Mexico", "Susana Martinez"], ["2", "Secretary of State of New Mexico", "Dianna ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Attorney General of New Mexico | 128 | Answer: |
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