context stringlengths 231 1.31k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 |
|---|---|---|---|---|
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["2014", "22 Dec 2013", "Val-d'Isère, France", "Giant slalom", "1st"], ["2014", "1 Dec 2013", "Beaver Creek, USA", "Giant slalom", "3rd"], ["2014", "25 Jan 2014", "Cortina d'Ampezzo, Italy", "Downhill", "3rd"], ["2014", "24 Jan 2014", "Cortina 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:... | 2013 | Answer: | 128 |
Table InputTable: [["Season", "Series", "Team", "Races", "Wins", "Poles", "F/Laps", "Podiums", "Points", "Position"], ["2009", "Formula Renault 2.0 Northern European Cup", "Krenek Motorsport", "14", "0", "0", "0", "0", "44", "21st"], ["2012", "Formula 3 Euro Series", "Angola Racing Team", "21", "0", "0", "0", "0", "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:... | Asia Racing Team, Sonangol Motopark | Answer: | 128 |
Table InputTable: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["5", "Lord Privy Seal", "The Rt Hon Andrew Lansley, CBE, MP", "", ""], ["7", "Lord High Constable", "vacant", "Earl Marshal", "Master of the Horse"], ["6", "Lord Great Chamberlain", "The Marquess of Cholmondeley", "Lord... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | below | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2003", "European U23 Championships", "Bydgoszcz, Poland", "1st", "400 m hurdles", "48.45"], ["2000", "World Junior Championships", "Santiago, Chile", "1st", "400 m hurdles", "49.23"], ["2007", "World Championships", "Osaka, Japan", "3r... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Date", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["September 17, 1998", "Colorado Springs", "Air Force", "30", "Colorado State", "27", "AFA 22–14–1"], ["September 16, 1995", "Colorado Springs", "Colorado State", "27", "Air Force", "20", "AFA 20–13–1"], ["Septe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 23 | Answer: | 128 |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["163", "Steve Taylor", "Left Wing", "United States", "Philadelphia Flyers", "Providence College (ECAC)"], ["149", "Rick Zombo", "Defence", "United States", "Detroit Red Wings", "Austin Mavericks (USHL)"], ["148"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Winnipeg Jets | Answer: | 128 |
Table InputTable: [["Date", "Location", "Air/Ground", "Number", "Type", "Status"], ["13 April 1944", "West of Mannheim, Germany", "Air", "1", "FW-190", "Destroyed"], ["27 November 1944", "South of Magdeburg, Germany", "Air", "4", "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:... | 2 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["6", "South Korea", "0", "0", "2", "2"], ["2", "Japan", "7", "10", "7", "24"], ["5", "North Korea", "1", "0", "1", "2"], ["4", "Kazakhstan", "2", "2", "0", "4"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["1", "China", "13", "9", "13", "35"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Pick #", "NFL Team", "Player", "Position", "College"], ["3", "Baltimore Colts", "Alan Ameche", "Fullback", "Wisconsin"], ["1", "Baltimore Colts (Lottery bonus pick)", "George Shaw", "Quarterback", "Oregon"], ["5", "Green Bay Packers", "Tom Bettis", "Guard", "Purdue"], ["2", "Chicago Cardinals", "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:... | Max Boydston | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "7.", "22 July 2012", "Swiss Open, Switzerland", "Clay", "Thomaz Bellucci", "7–6(8–6), 4–6, 2–6"], ["Runner-up", "6.", "8 January 2012", "Chennai Open, India", "Hard", "Milos Raonic", "7–6(7–4), 6–7(4–7), 6–7(4–7)... | 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:... | No | Answer: | 128 |
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)]"], ["PG21", "28.3 (1.114)", "16", "0.0625 (1.5875)", "26.78 (1.054)", "13 to 18 (0.512 to 0.709)"], ["PG16", "22.5 (0.886)", "18", "0.0555... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | PG16 | Answer: | 128 |
Table InputTable: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["8", "Oriol Servià", "Forsythe Racing", "69", "+23.406", "13", "15"], ["13", "Robert Doornbos", "Minardi Team USA", "69", "+1:00.638", "9", "8"], ["2", "Jan Heylen", "Conquest Racing", "69", "+7.227", "7", "27"], ["1", "Justin Wilson... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sébastien Bourdais | Answer: | 128 |
Table InputTable: [["Common name", "Binomial nomenclature", "Colour", "Density ¹", "Location", "Characteristics, Usage and Status"], ["Deodar", "Cedrus deodara", "Yellowish brown", "560 kg/m³", "Himalayas, Punjab, Uttar Pradesh", "Deodar is the most important timber tree providing soft wood. It can be easily worked and... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["School", "Season", "Record", "Conference Record", "Place", "Postseason"], ["Illinois", "1912–20", "85–34", "64–31", "–", ""], ["Illinois", "1912–13", "10–6", "7–6", "5th", ""], ["Illinois", "1918–19", "6–8", "5–7", "5th", ""], ["Illinois", "1919–20", "9–4", "8–4", "3rd", ""]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | Answer: | 128 |
Table InputTable: [["Series", "Name", "Age", "Hometown", "Occupation", "Status"], ["BB2", "Amma Antwi-Agyei", "23", "London", "Table Dancer", "7th - Evicted"], ["BB7", "Imogen Thomas", "23", "Llanelli", "Bar Hostess", "7th - Evicted"], ["BB8", "Shanessa Reilly", "26", "Cardiff", "Care Assistant/Stripper", "12th - Evict... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | Answer: | 128 |
Table InputTable: [["Round", "Date", "Home/Away", "Opponent team", "Score", "Scorers"], ["24", "March 15, 2009", "Away", "KS Bylis Ballsh", "0–0", ""], ["6", "October 4, 2008", "Away", "KS Bylis Ballsh", "0–0", ""], ["16", "December 21, 2008", "Away", "KS Flamurtari Vlorë", "2–0", ""], ["18", "January 31, 2009", "Away"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | December 27, 2008 | Answer: | 128 |
Table InputTable: [["Rnd", "Circuit", "GTP Winning Team\\nGTP Winning Drivers", "GTO Winning Team\\nGTO Winning Drivers", "GTU Winning Team\\nGTU Winning Drivers", "Results"], ["1", "Daytona", "#00 Kreepy Krauly Racing", "#4 Stratagraph Inc.", "#76 Malibu Grand Prix", "Results"], ["6", "Laguna Seca", "#56 Blue Thunder ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | Answer: | 128 |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["9 Sep 1920", "Bristol Rovers", "H", "0–2", "", "8,000"], ["26 Mar 1921", "Queens Park Rangers", "A", "0–2", "", "10,000"], ["5 Mar 1921", "Brighton & Hove Albion", "A", "0–1", "", "8,000"], ["4 Dec 1920", "Watford", "H", "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:... | 16 Oct 1920 | Answer: | 128 |
Table InputTable: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["7", "August 19", "Mosport", "Greg Pickett", "Chevrolet Corvette", "Bob Tullius", "Jaguar XJS"], ["6", "August 13", "Brainerd", "Jerry Hansen", "Chevrolet Monza", "Bob Tull... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chevrolet Corvette | Answer: | 128 |
Table InputTable: [["Release date", "Album Title", "Record Company", "Song Title", "Certification"], ["December 2007", "H.O.P.E. (Healing Of Pain and Enlightenment)", "Star Records", "\"Count On Me\"", "PARI: Gold"], ["July 25, 2007", "Nagmamahal, Kapamilya: Songs for Global Pinoys", "Star Records", "\"Super Pinoy\"", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Year", "Recipient", "Nationality", "Profession", "Speech"], ["2008", "David Be'eri, Mordechai Eliav, Rabbi Yehuda Maly", "Israel", "", ""], ["1997", "Elie Wiesel", "United States", "Professional writer\\nWinner of the Nobel Peace Prize (1986)", ""], ["2009", "Caroline Glick", "Israel", "Journalist"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2008 | Answer: | 128 |
Table InputTable: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Aleksandr Byalko\\n50.the physicist", "Pelicans", "Barracudas", "", "5th Voted Out\\nDay 15", "6"], ["Aleksandr Pashutin\\n60.the actor", "Barracudas", "", "", "3rd Voted Out\\nDay 9", "7"], ["Aleksandr Lyk... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["10", "Oct 30", "vs. Hamilton Tiger-Cats", "30–9", "Loss", "1–11"], ["8", "Oct 16", "vs. Toronto Argonauts", "27–11", "Loss", "1–9"], ["7", "Oct 9", "vs. Montreal Alouettes", "25–11", "Loss", "1–7"], ["2", "Sept 6", "vs. Montreal Alouettes",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hamilton Tiger-Cats | Answer: | 128 |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7QT", "Queenstown", "0837", "AM", "Changed call to 7XS in 1988", "7XS", "Commercial"], ["7UV", "Ulverstone", "", "AM", "Moved to Devonport and changed call to 7AD in 1940", "7AD", "Commercial"], ["7ZL", "Hobart",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 11 | Answer: | 128 |
Table InputTable: [["Naturalisations by origin", "2000", "2005", "2009", "% Total 2009"], ["South Asia", "4 246", "4 436", "3 660", "2.7"], ["South-East Asia", "7 265", "4 069", "2 475", "1.8"], ["Other Asia", "15 291", "16 501", "11 737", "8.6"], ["Asia", "27 941", "26 286", "19 494", "14.4"], ["CIS (Asia)", "181", "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:... | no | Answer: | 128 |
Table InputTable: [["Week", "Date", "Result", "Record", "Opponent", "Points For", "Points Against", "First Downs", "Attendance"], ["9", "November 14", "Loss", "8–1", "St. Louis Cardinals", "17", "24", "16", "64,038"], ["10", "November 20", "Loss", "8–2", "at Pittsburgh Steelers", "13", "28", "20", "49,761"], ["3", "Oct... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | St. Louis Cardinals | Answer: | 128 |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["2006/07", "KSV Roeselare", "Jupiler League", "29", "1"], ["2003/04", "RAEC Mons", "Jupiler League", "23", "0"], ["2004/05", "KSV Roeselare", "Belgian Second Division", "29", "1"], ["2002/... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 71 | Answer: | 128 |
Table InputTable: [["#", "Name", "Took office", "Left office", "Party", "Governor", "Notes"], ["32", "Edgar D. Bush", "January 14, 1929", "January 9, 1933", "Republican", "Harry G. Leslie", ""], ["29", "Edgar D. Bush", "January 8, 1917", "January 10, 1921", "Republican", "James P. Goodrich", ""], ["2", "Ratliff Boon", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Oliver P. Morton | Answer: | 128 |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["Burj Khalifa", "United Arab Emirates", "Dubai", "829.8 / 2,722", "Skyscraper", "2007–present", "Topped-out on 17 January 2009"], ["Eiffel Tower", "France", "Paris", "300.6 / 986", "Tower", "1889–1930", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Skyscraper | Answer: | 128 |
Table InputTable: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["3", "Bruno Junqueira", "Dale Coyne Racing", "69", "+8.419", "11", "26"], ["7", "Sébastien Bourdais", "N/H/L Racing", "69", "+22.955", "1", "18"], ["12", "Katherine Legge", "Dale Coyne Racing", "69", "+44.860", "14", "9"], ["16", "Al... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 17 | Answer: | 128 |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["15", "December 13, 1998", "FOX 11:00 am MT", "at Philadelphia Eagles", "W 20–17", "62,176"], ["13", "November 29, 1998", "FOX 11:00 am MT", "at Kansas City Chiefs", "L 34–24", "69,613"], ["16", "December 20, 1998", "FOX 2:05 pm MT", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 62,176 | Answer: | 128 |
Table InputTable: [["Year", "Chassis", "Engine", "Start", "Finish", "Team"], ["2006", "Dallara", "Honda", "2", "25", "Team Penske"], ["2009", "Dallara", "Honda", "1", "1", "Team Penske"], ["2008", "Dallara", "Honda", "4", "4", "Team Penske"], ["2007", "Dallara", "Honda", "1", "3", "Team Penske"], ["2011", "Dallara", "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:... | 13 | Answer: | 128 |
Table InputTable: [["Year", "Single", "Peak chart\\npositions\\nUS Country", "Peak chart\\npositions\\nCAN Country", "Album"], ["1984", "\"I'm a Country Song\"", "72", "—", "singles only"], ["1979", "\"You Are My Rainbow\"", "36", "—", "singles only"], ["1979", "\"Darlin'\"", "18", "36", "singles only"], ["1976", "\"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:... | Yes | Answer: | 128 |
Table InputTable: [["School", "2007", "2008", "2009", "2010", "2011"], ["James A. Garfield High School", "553", "597", "593", "632", "705"], ["Woodrow Wilson High School", "582", "585", "600", "615", "636"], ["Santee Education Complex", "", "502", "521", "552", "565"], ["Francisco Bravo Medical Magnet High School", "80... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | Answer: | 128 |
Table InputTable: [["Date", "Location", "Air/Ground", "Number", "Type", "Status"], ["27 May 1944", "North of Strasbourg, France", "Air", "1", "Me-109", "Damaged"], ["27 November 1944", "South of Magdeburg, Germany", "Air", "4", "FW-190", "Destroyed"], ["18 August 1944", "20 miles northeast of Paris, France", "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:... | 2 | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["1", "September 13, 1987", "San Diego Chargers", "W 20–13", "56,940"], ["9", "November 15, 1987", "New York Jets", "L 16–9", "40,718"], ["8", "November 8, 1987", "Pittsburgh Steelers", "L 17–16", "45,249"], ["7", "November 1, 1987", "at Chicago B... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 64,345 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Australia", "26", "38", "36", "100"], ["8", "Germany", "19", "28", "31", "78"], ["4", "United States", "27", "22", "39", "88"], ["1", "China", "63", "46", "32", "141"], ["6", "Ukraine", "24", "12", "19", "55"], ["10", "Japan", "17", "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:... | China | Answer: | 128 |
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"], ["1994", "12 Mar 1994", "Whistler, BC, Canada", "Downhill", "3rd"], ["1993", "27 Feb 1993", "Whistler, BC, Canada", "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:... | Whistler, BC, Canada | Answer: | 128 |
Table InputTable: [["No.", "Date/time", "Aircraft", "Foe", "Result", "Location", "Notes"], ["1", "4 December 1916 @ 1100 hours", "Nieuport serial number 3958", "Albatros D.I", "Driven down out of control", "Northeast of Bapaume, France", "Victory shared with another pilot"], ["5", "11 May 1917 @ 1950 hours", "Sopwith 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:... | 1950 hours | Answer: | 128 |
Table InputTable: [["isn", "name", "arrival\\ndate", "departure\\ndate", "notes"], ["209", "Almasm Rabilavich Sharipov", "2002-01-21", "2004-02-27", "Repatriated to Russia on January 3, 2004.[citation needed]\\nReported to have been repatriated on 24 February 2004 with six other Russian men.\\nGranted asylum by the Net... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | Answer: | 128 |
Table InputTable: [["Tour", "Official title", "Venue", "City", "Date\\nStart", "Date\\nFinish", "Prize money\\nUSD", "Report"], ["13", "Super Series Finals", "Cancelled", "Cancelled", "Cancelled", "Cancelled", "500,000", "Report"], ["10", "French Super Series", "Stade Pierre de Coubertin", "Paris", "October 30", "Novem... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["10", "Leiftur", "18", "3", "7", "8", "24", "39", "-15", "16", "Relegated"], ["2", "Fylkir", "18", "10", "5", "3", "39", "16", "+23", "35", "UEFA Cup"], ["7", "Breiðablik", "18", "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:... | 1 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2007", "Universiade", "Bangkok, Thailand", "1st", "400 m", ""], ["2006", "Asian Games", "Doha, Qatar", "1st", "400 m", ""], ["2006", "World Cup", "Athens, Greece", "7th", "400 m", ""], ["2001", "World Youth Championships", "Debrecen, 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:... | 2006 | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["10", "8", "Tim Schenken", "Brabham-Ford", "76", "+ 4 Laps", "18", ""], ["8", "27", "Henri Pescarolo", "March-Ford", "77", "+ 3 Laps", "13", ""], ["Ret", "7", "Graham Hill", "Brabham-Ford", "1", "Accident", "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:... | 8 | Answer: | 128 |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Danny Coles", "3", "0", "0", "0", "3"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["OWN GOALS", "0", "0", "0", "0", "0"], ["Jamie Cureton", "20", "0", "0", "0", "20"], ["Pat Baldwin", "1", "0", "0", "0", "1"], ["Alan Gow", "4", "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:... | 0 | Answer: | 128 |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["9 August", "Toyota (A)", "Japan", "2–2", "Toyota Cup"], ["8 August", "Toyota (N)", "Brazil", "0–0", "Toyota Cup"], ["10 August", "Toyota (N)", "United Arab Emirates", "6–0", "Toyota Cup"], ["20 March", "Fukuoka (A)", "Japan", "2–0", "Sanix Cup... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tashkent (N) | Answer: | 128 |
Table InputTable: [["Name", "Date time (UT)", "Local time zone", "Location", "Elevation + height", "Delivery", "Purpose", "Yield", "Venting", "Notes"], ["Cebolla - 1 (with Cuchillo,Solano)", "9 August 1972 13:03:11.04", "PST (-8 hrs)", "NTS Area U3jc 37°00′26″N 116°01′11″W / 37.00717°N 116.01976°W", "1,180 m (3,870 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:... | 33 | Answer: | 128 |
Table InputTable: [["No", "Driver", "Entrant", "Constructor", "Chassis", "Engine"], ["12", "Luigi Fagioli", "Officine Alfieri Maserati", "Maserati", "Maserati 26", "1.7 L8"], ["34", "Cesare Pastore", "Private entry", "Maserati", "Maserati 26B", "2.1 L8"], ["22", "Mario Tadini", "Scuderia Ferrari", "Alfa Romeo", "Alfa R... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["isn", "name", "arrival\\ndate", "departure\\ndate", "notes"], ["82", "Rasul Kudayev", "", "2004-02-27", "Repatriated to Russia on January 3, 2004.[citation needed]\\nReported to have been repatriated on 24 February 2004 with six other Russian men.\\nAlso called \"Abdullah D. Kafkas\"."], ["492", "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:... | 6 | Answer: | 128 |
Table InputTable: [["Year", "Class", "No", "Tyres", "Car", "Team", "Co-Drivers", "Laps", "Pos.", "Class\\nPos."], ["1973", "S\\n3.0", "62", "", "Ligier JS2\\nMaserati 3.0L V6", "Automobiles Ligier", "Guy Ligier", "24", "DSQ", "DSQ"], ["1974", "S\\n3.0", "15", "", "Ligier JS2\\nMaserati 3.0L V6", "Automobiles Ligier", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1974 | Answer: | 128 |
Table InputTable: [["School", "2007", "2008", "2009", "2010", "2011"], ["Oscar De La Hoya Animo Charter High School", "662", "726", "709", "710", "744"], ["Marc and Eva Stern Math and Science School", "718", "792", "788", "788", "809"], ["Francisco Bravo Medical Magnet High School", "807", "818", "815", "820", "832"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2006", "World Junior Championships", "Beijing, China", "5th", "5.30 m"], ["2011", "World Championships", "Daegu, South Korea", "9th", "5.65 m"], ["2005", "World Youth Championships", "Marrakech, Morocco", "6th", "5.05 m"], ["2008", "Olympic Gam... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Olympic Games | Answer: | 128 |
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"], ["Ebbe Skovdahl", "Denmark... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Model", "Fuel Type", "mpg (US gallons)", "L/100 km", "NZ Rating\\n(Stars)"], ["Fiat 500 1.4 POP", "petrol", "37.3", "6.3", "4.5"], ["Fiat 500 1.3 JTD POP", "diesel", "56", "4.2", "5.5"], ["Fiat 500 1.2 POP", "petrol", "46", "5.1", "5"], ["Fiat 500 1.4 SPORT", "petrol", "37.3", "6.3", "4.5"]] | 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:... | Fiat 500 1.4 LOUNGE 3D, Fiat 500 1.4 SPORT, Citroen C4 2.0 SX 5DR 6SP A D, Volkswagen Golf TDI 103KW 4MOTION, Peugeot 207 XS 1.4 5DR 5SPD M P, Saab 9-3 Linear CONVERTIBLE 1.9TID M, Suzuki Swift GLX 1.5 5DR, Suzuki Swift GLXH 1.5 5DR, Suzuki Swift GLXH2 1.5 5DR | Answer: | 128 |
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 2009", "£2.70", "£4.70", "£8.40", "£9.40", "£9.40"], ["1 January 2008", "£2.50", "£4.50", "£8.00", "£9.00", "£9.00"]] | 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:... | £3.00 | Answer: | 128 |
Table InputTable: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["NGC 1569", "Sbrst", "04h 30m 49.1s", "+64° 50′ 52,6″", "-104 ± 4", "11,2"], ["UGCA 86", "Im", "03h 59m 50.5s", "+67° 08′ 37″", "67 ± 4", "13.5"]] | 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:... | Camelopardalis A | Answer: | 128 |
Table InputTable: [["Name", "Pennant", "Namesake", "Builder", "Ordered", "Laid down", "Launched", "Commissioned", "Fate"], ["Apollo", "63", "Apollo, God of Light", "HM Dockyard, Devonport", "1 March 1933", "15 August 1933", "9 October 1934", "13 January 1936", "Sold to Royal Australian Navy as HMAS Hobart, 1938\\nBroke... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Leander, Orion, Achilles, Apollo | Answer: | 128 |
Table InputTable: [["Rank", "Heat", "Name", "Nationality", "Time", "Notes"], ["2", "1", "Hiroyasu Tsuchie", "Japan", "10.64", "Q"], ["", "3", "Sudath Ravindra Kumara", "Sri Lanka", "DQ", ""], ["2", "2", "Yuta Kanno", "Japan", "10.64", "Q"], ["6", "1", "Vissanu Sophanich", "Thailand", "10.87", ""], ["7", "2", "Tang Yui ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Khaled Yousef Al-Obaidli | Answer: | 128 |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2006", "Spartak Nizhny Novgorod", "Russia", "2", "36", "1"], ["2005", "CSKA Moscow", "Russia", "1", "0", "0"], ["2004", "CSKA Moscow", "Russia", "1", "0", "0"], ["2006/07", "Dnipro Dnipropetrovsk", "Ukraine", "1", "12", "0"], ["2009/10", "... | 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:... | Lokomotiv Moscow | Answer: | 128 |
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:... | Tim Hills | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Site", "Result"], ["September 24", "Millsaps*", "Denny Field • Tuscaloosa, AL", "W 54–0"], ["November 13", "Florida", "Cramton Bowl • Montgomery, AL", "W 49–0"], ["November 6", "Kentucky", "Rickwood Field • Birmingham, AL", "W 14–0"], ["January 1, 1927", "vs. Stanford*", "Rose B... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | Answer: | 128 |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2013", "15th Mnet Asian Music Awards", "Best Female Artist", "Herself", "Nominated"], ["2013", "15th Mnet Asian Music Awards", "Artist of the Year", "Herself", "Nominated"], ["2013", "Mnet Pre-Grammy Awards", "Mnet Rising Star", "Herself", "Won"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["#", "Title", "Featured guest(s)", "Producer(s)", "Time", "Sample (s)"], ["10", "\"Like That\"", "Ice Cube, Daz Dillinger & CJ Mac", "Daz Dillinger", "4:29", "*\"Just Rhymin' With Biz\" by Big Daddy Kane\\n*\"West Up!\" by WC and the Maad Circle"], ["16", "\"Better Days\"", "Ron Banks", "Barr Nine",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 17 | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["14", "December 19, 1987", "at Denver Broncos", "L 20–17", "75,053"], ["8", "November 8, 1987", "Pittsburgh Steelers", "L 17–16", "45,249"], ["5", "October 18, 1987", "Denver Broncos", "L 26–17", "20,296"], ["15", "December 27, 1987", "Seattle 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:... | Seattle Seahawks | Answer: | 128 |
Table InputTable: [["Year", "Premiers", "Score", "Runners Up", "Score"], ["2008", "Cairns Saints", "12.15 (87)", "North Cairns Tigers", "2.9 (21)"], ["2012", "Cairns Saints", "17.6 (108)", "North Cairns Tigers", "11.12 (78)"], ["2010", "North Cairns Tigers", "8.10 (58)", "Port Douglas Crocs", "8.5 (53)"], ["2013", "Nor... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | North Cairns Tigers | Answer: | 128 |
Table InputTable: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Deaths In Prisons & Camps", "69,000", "210,000", "220,000", "266,000", "381,000", "", "1,146,000"], ["Deaths Outside of Prisons & Camps", "", "42,000", "71,000", "142,000", "218,000", "", "473,000"]] | 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:... | 220,000 | Answer: | 128 |
Table InputTable: [["Rank", "Diver", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints"], ["6", "Elsa Tenorio (MEX)", "460.56", "8", "463.56"], ["4", "Li Yihua (CHN)", "517.92", "1", "506.52"], ["22", "Joana Figueiredo (POR)", "374.07", "22", ""], ["5", "Li Qiaoxian (CHN)", "466.83", "6", "487.68"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Li Yihua | Answer: | 128 |
Table InputTable: [["Distribution", "x86", "x86-64", "ia64", "ppc", "ppc64", "sparc32", "sparc64", "arm", "hppa", "mips", "sh", "s390", "s390x", "alpha", "m68k"], ["Distribution", "x86", "x86-64", "ia64", "ppc", "ppc64", "sparc32", "sparc64", "arm", "hppa", "mips", "sh", "s390", "s390x", "alpha", "m68k"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Arch Linux | Answer: | 128 |
Table InputTable: [["Chord", "Root", "Minor Third", "Perfect Fifth", "Major Seventh"], ["AmM7", "A", "C", "E", "G♯"], ["FmM7", "F", "A♭", "C", "E"], ["CmM7", "C", "E♭", "G", "B"], ["C♯mM7", "C♯", "E", "G♯", "B♯ (C)"], ["G♯mM7", "G♯", "B", "D♯", "F (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:... | 17 | Answer: | 128 |
Table InputTable: [["#", "Name", "Took office", "Left office", "Party", "Governor", "Notes"], ["36", "Richard T. James", "January 8, 1945", "January 10, 1948", "Republican", "Ralph F. Gates", ""], ["44", "Robert D. Orr", "January 8, 1973", "January 12, 1981", "Republican", "Otis R. Bowen", ""], ["31", "F. Harold Van Or... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 198 | Answer: | 128 |
Table InputTable: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["12", "13", "Return Of the Mole Man", "The Mole Man is creating earthquakes and causing buildings to sink deep into the Earth. In addition, he and his Moloids kidnap Susan. The Mole Man as usual has been expecting the other three and sends them ba... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 days | Answer: | 128 |
Table InputTable: [["School Name", "Low grade", "High grade", "Students (K-12)", "FTE Teachers", "Student/teacher ratio"], ["Bethany Lutheran School", "PK", "8", "28", "3.6", "7.78"], ["Peace Lutheran School", "PK", "8", "229", "", ""], ["Immanuel Lutheran School", "PK", "8", "82", "5.6", "14.64"], ["Holy Cross Luthera... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Netherlands (NED)", "4", "3", "2", "9"], ["2", "United States (USA)", "2", "1", "1", "4"], ["3", "West Germany (FRG)", "2", "0", "0", "2"], ["4", "Norway (NOR)", "0", "2", "2", "4"], ["5", "Soviet Union (URS)", "0", "1", "2", "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:... | 13 | Answer: | 128 |
Table InputTable: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Sides", "1", "Indiana County", "", ""], ["Sidell", "1", "Clarion County", "", ""], ["Shanktown", "1", "Indiana County", "15777", ""], ["Shamburg", "1", "Clarion County", "", ""], ["Schills", "1", "Clari... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Indiana County | Answer: | 128 |
Table InputTable: [["Team", "No", "Driver", "Class", "Rounds"], ["Fortec Motorsport", "25", "George Katsinis", "", "All"], ["Fortec Motorsport", "24", "Jack Harvey", "", "All"], ["Fortec Motorsport", "26", "Christof von Grünigen", "", "All"], ["Josef Kaufmann Racing", "6", "Petri Suvanto", "R", "All"], ["Josef Kaufmann... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Robin Frijns | Answer: | 128 |
Table InputTable: [["City", "County", "Population (2011)", "Population (2002)", "Altitude (m)", "Year status\\ngranted* or\\nfirst attested†"], ["Ploiești", "Prahova", "209,945", "232,527", "150", "1596†"], ["Boldești-Scăeni", "Prahova", "11,137", "11,505", "", ""], ["Plopeni", "Prahova", "7,718", "10,083", "", "1968*"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 209,945 | Answer: | 128 |
Table InputTable: [["Year", "Premiers", "Score", "Runners Up", "Score"], ["2008", "Cairns Saints", "12.15 (87)", "North Cairns Tigers", "2.9 (21)"], ["2007", "Centrals Trinity Beach Bulldogs", "14.16 (100)", "Cairns Saints", "11.2 (68)"], ["2006", "Manunda Hawks", "11.11 (77)", "Centrals Trinity Beach Bulldogs", "10.9 ... | 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:... | 2 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "West Germany (FRG)", "2", "0", "0", "2"], ["5", "Soviet Union (URS)", "0", "1", "2", "3"], ["4", "Norway (NOR)", "0", "2", "2", "4"], ["6", "Sweden (SWE)", "0", "1", "1", "2"], ["1", "Netherlands (NED)", "4", "3", "2", "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:... | West Germany | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["12", "24", "Paolo Barilla", "Minardi-Ford", "62", "+ 2 Laps", "24", ""], ["9", "8", "Stefano Modena", "Brabham-Judd", "62", "+ 2 Laps", "20", ""], ["13", "26", "Philippe Alliot", "Ligier-Ford", "61", "+ 3 Laps", "22",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Rnd", "Circuit", "GTP Winning Team\\nGTP Winning Drivers", "GTO Winning Team\\nGTO Winning Drivers", "GTU Winning Team\\nGTU Winning Drivers", "Results"], ["2", "Miami", "#04 Group 44", "#47 Dingman Bros. Racing", "#99 All American Racers", "Results"], ["1", "Daytona", "#00 Kreepy Krauly Racing", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sebring | Answer: | 128 |
Table InputTable: [["Rank", "Athlete", "Nationality", "2.15", "2.20", "2.24", "2.27", "Result", "Notes"], ["9.", "Ramsay Carelse", "South Africa", "xo", "xo", "o", "xxx", "2.24", ""], ["1.", "Yaroslav Rybakov", "Russia", "o", "o", "o", "o", "2.27", "q"], ["1.", "Andrey Tereshin", "Russia", "o", "o", "o", "o", "2.27", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tora Harris | Answer: | 128 |
Table InputTable: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Melisa Popanicić", "16", "175 cm (5 ft 9 in)", "Wörgl", "2nd Eliminated in Episode 10"], ["Christine Riener", "20", "181 cm (5 ft 11.25 in)", "Bludenz", "Eliminated in Episode 4"], ["Nadine Trinker", "21", "183 cm (6 ft 0 in)", "Bodensdorf", "El... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Melisa Popanicić | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["1996", "World Junior Championships", "Sydney, Australia", "2nd", "3000 m st."], ["2001", "IAAF Grand Prix Final", "Melbourne, Australia", "4th", "3000 m st."], ["", "Commonwealth Games", "Kuala Lumpur, Malaysia", "3rd", "3000 m st."], ["2005", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | IAAF Grand Prix Final | Answer: | 128 |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["6", "Ralf Waldmann", "Aprilia", "+7.019", "10"], ["20", "Lucas Oliver Bulto", "Yamaha", "+1:25.758", ""], ["16", "Luca Boscoscuro", "TSR-Honda", "+56.432", ""], ["Ret", "Roberto Rolfo", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6.839 | Answer: | 128 |
Table InputTable: [["", "Chronological\\nNo.", "Date\\n(New style)", "Water level\\ncm", "Peak hour"], ["32", "76", "29 September 1788", "237", "–"], ["14", "25", "10 September 1736", "261", ""], ["8", "14", "1 November 1726", "270", "–"], ["1", "84", "19 November 1824", "421", "14:00"], ["27", "177", "26 November 1898... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Name", "City", "Hospital beds", "Operating rooms", "Total", "Trauma designation", "Affiliation", "Notes"], ["Hugh Chatham Memorial Hospital", "Elkin", "220", "8", "228", "-", "QHR", "-"], ["Chatham Hospital", "Siler City", "25", "3", "28", "-", "UNC", "-"], ["Vidant Edgecombe Hospital", "Tarboro", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["9 August", "Toyota (A)", "Japan", "2–2", "Toyota Cup"], ["8 August", "Toyota (N)", "Brazil", "0–0", "Toyota Cup"], ["20 March", "Fukuoka (A)", "Japan", "2–0", "Sanix Cup"], ["4 October", "Tashkent (N)", "India", "5–2", "AFC U-16 Championship (... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | Answer: | 128 |
Table InputTable: [["Year", "Single", "Peak chart\\npositions\\nUS Country", "Peak chart\\npositions\\nCAN Country", "Album"], ["1984", "\"I'm a Country Song\"", "72", "—", "singles only"], ["1983", "\"You've Still Got Me\"", "71", "—", "singles only"], ["1977", "\"I'm Gonna Love You Right Out of This World\"", "21", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Need You" | Answer: | 128 |
Table InputTable: [["Date", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["September 30, 1989", "Fort Collins", "Air Force", "46", "Colorado State", "21", "AFA 19–8–1"], ["September 29, 1984", "Colorado Springs", "Air Force", "52", "Colorado State", "10", "AFA 14–8–1"], ["September 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:... | Colorado State | Answer: | 128 |
Table InputTable: [["Date", "Competition", "Location", "Country", "Event", "Placing", "Rider", "Nationality"], ["1 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "500 m time trial", "1", "Victoria Pendleton", "GBR"], ["1 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Sprint"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 31 October 2008 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["14", "Uzbekistan (UZB)", "0", "1", "3", "4"], ["11", "Kyrgyzstan (KGZ)", "1", "1", "0", "2"], ["8", "Sri Lanka (SRI)", "2", "0", "2", "4"], ["12", "Kuwait (KUW)", "1", "0", "0", "1"], ["4", "Kazakhstan (KAZ)", "3", "4", "5", "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:... | 3 | Answer: | 128 |
Table InputTable: [["Stage", "Date", "Route", "Terrain", "Length", "Winner", "Race leader"], ["15", "17 July", "Nice – Gap", "Stage with mountain(s)", "233 km (145 mi)", "Jef Demuysere (BEL)", "Antonin Magne (FRA)"], ["9", "8 July", "Pau – Luchon", "Stage with mountain(s)", "231 km (144 mi)", "Antonin Magne (FRA)", "An... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | no | Answer: | 128 |
Table InputTable: [["Sl no", "Name of the prabandham", "Starting from", "Ending with", "Number of pasurams", "Sung by"], ["5", "Thiruchchanda Viruththam", "752", "871", "120", "Thirumalisai alvar"], ["22", "Peria Thirumadal", "2674", "2674", "1", "Thirumangai alvar"], ["19", "Peria Thiruvandhadhi", "2585", "2671", "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:... | Thiruvay Mozhi | Answer: | 128 |
Table InputTable: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["13", "19", "Rama-Tut", "After coming back from vacation Reed tells Ben an interesting theory on attempting to restore him. They head to Dr. Doom’s deserted castle to use the time machine the doctor left behind. In 2000 B.C the four weaken during ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Invasion Of The Super-Skrull | Answer: | 128 |
Table InputTable: [["School", "2007", "2008", "2009", "2010", "2011"], ["Marc and Eva Stern Math and Science School", "718", "792", "788", "788", "809"], ["Santee Education Complex", "", "502", "521", "552", "565"], ["Woodrow Wilson High School", "582", "585", "600", "615", "636"], ["James A. Garfield High School", "55... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Theodore Roosevelt High School | Answer: | 128 |
Table InputTable: [["Language", "2001 census[1]\\n(total population 1,004.59 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", ""], ["Marathi", "71,936,894", "62,481,681", "7.45%", "68.0 M"], ["Telugu", "70,002,856", "65,59... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Telugu | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["10 September 2005", "Chelsea", "Stamford Bridge", "0–2", "41,969", ""], ["1 October 2005", "West Ham United", "Stadium of Light", "1–1", "31,212", "Miller"], ["25 September 2005", "Middlesbrough", "Riverside Stadium", "2–0", "29,583"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Runner-up", "6.", "May 2, 1994", "Atlanta, Georgia, USA", "Clay", "Michael Chang", "7–6(7–4), 6–7(4–7), 0–6"], ["Winner", "5.", "January 15, 1996", "Sydney, Australia", "Hard", "Goran Ivanišević", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pinehurst, USA | Answer: | 128 |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["13", "18", "Justin Wilson", "Dale Coyne Racing", "85", "+ 53.5768", "2", "28", "17"], ["19", "7", "Danica Patrick", "Andretti Green Racing", "83", "+ 2 Laps", "12", "0", "12"], ["1", "9", "Scott Dixon", "Chip Ga... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Danica Patrick | Answer: | 128 |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["13", "November 29, 1998", "FOX 11:00 am MT", "at Kansas City Chiefs", "L 34–24", "69,613"], ["3", "September 20, 1998", "ESPN 5:15 pm MT", "Philadelphia Eagles", "W 17–3", "39,782"], ["4", "September 27, 1998", "FOX 10:00 am MT", "at ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
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