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: [["Rank", "City", "Passengers", "Ranking", "Airline"], ["1", "Quintana Roo, Cancún", "132,046", "", "Aeroméxico Connect, Interjet, Volaris"], ["3", "Guerrero, Acapulco", "56,069", "", "Aeroméxico Connect, Interjet"], ["2", "Nuevo León, Monterrey", "106,513", "", "Aeroméxico Connect, Interjet"], ["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:... | Nuevo León, Monterrey | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Score", "Result", "Record"], ["September 2 (First Round, Game 3)", "Sacramento", "68-70", "Loss", "1-2"], ["May 22", "Seattle", "75-64", "Win", "1-0"], ["August 19", "Seattle", "52-47", "Win", "20-11"], ["August 23", "@ Seattle", "64-71", "Loss", "20-13"], ["July 15", "@ Seattle... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["Total", "Total", "24", "23", "26", "73"], ["6", "South Korea", "0", "0", "2", "2"], ["2", "Japan", "7", "10", "7", "24"], ["5", "North Korea", "1", "0", "1", "2"], ["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:... | 26 | 128 | Answer: |
Table InputTable: [["Al-Khwarizmi", "Latitude", "Longitude", "Diameter"], ["M", "3.1° N", "107.0° E", "18 km"], ["B", "9.0° N", "107.4° E", "62 km"], ["H", "6.0° N", "109.2° E", "50 km"], ["L", "3.9° N", "107.4° E", "35 km"], ["K", "4.6° N", "107.6° E", "26 km"], ["T", "7.0° N", "104.5° E", "15 km"], ["G", "6.9° N", "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:... | 7.0° N | 128 | Answer: |
Table InputTable: [["Rank", "Player Name", "No. of Titles", "Runner-up", "Final Appearances"], ["1", "Jansher Khan", "8", "1", "9"], ["2", "Jahangir Khan", "6", "3", "9"], ["17", "Mohibullah Khan", "0", "1", "1"], ["8", "Peter Nicol", "1", "2", "3"], ["15", "Qamar Zaman", "0", "4", "4"], ["17", "Karim Darwish", "0", "1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Party", "Candidate", "Votes", "%", "±%"], ["Liberal Democrat", "Jeremy Beckett", "7,922", "15.7", "-1.8"], ["UKIP", "Stuart Bavester", "672", "1.3", "+0.5"], ["Turnout", "Turnout", "50,589", "67.8", "-10.5"], ["Conservative", "Patrick McLoughlin", "24,280", "48.0", "+5.9"], ["Labour", "Stephen Clam... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Patrick McLoughlin | 128 | Answer: |
Table InputTable: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["3", "128", "Everton Weekes", "West Indies", "NR", "1", "India", "10 November 1948", "Drawn"], ["38", "105", "Geoff Boycott", "England", "285", "1", "India", "23 December 1981", "Drawn"], ["7", "164*", "Vijay Ha... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["1999", "Carl Fogarty", "11", "Ducati 996", "Ducati"], ["1998", "Carl Fogarty", "3", "Ducati 916", "Ducati"], ["1994", "Carl Fogarty", "11", "Ducati 916", "Ducati"], ["1995", "Carl Fogarty", "13", "Ducati 916", "Ducati"], ["2001"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 11 | 128 | Answer: |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2012", "Queensland", "New South Wales", "", "", ""], ["2009", "Queensland", "", "Alkupitja", "Tangentyere", "New South Wales"], ["2012", "New South Wal... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Title", "Role", "Notes"], ["2013", "A Grande Família", "Bianca", "Cameo"], ["1999", "Mundo VIP", "Herself", "Cameo"], ["1999", "Terra Nostra", "Hannah", "Cameo"], ["2007", "Paraíso Tropical", "Betina Monteiro", "Cameo"], ["1990", "Meu Bem, Meu Mal", "", "Cameo"], ["2004", "Casseta & Planeta... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Tier", "League", "Pos.", "Postseason", "German Cup", "European competitions"], ["1991–92", "1", "Bundesliga", "2", "Semifinalist", "Champion", "–"], ["2006–07", "1", "Bundesliga", "1", "Champion", "–", "2 Played ULEB Cup"], ["2002–03", "1", "Bundesliga", "2", "Finalist", "–", "–"], ["1992... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Band", "Disc/Song", "Released", "Disc Description", "Disk Size", "Image"], ["Guns N' Roses", "Paradise City", "1989", "Shape of a Colt \"Peacemaker\"", "7\"", ""], ["Guns N' Roses", "Nightrain", "1989", "Shape of a suitcase", "7\"", ""], ["Barnes & Barnes", "Fish Heads: Barnes & Barnes' Greatest Hi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Organization", "Award", "Work", "Result"], ["2008", "Nickelodeon Kids' Choice Awards", "Best Actress", "Hana Yori Dango 2", "Won"], ["2007", "16th Hashida Awards", "Newcomer Award", "Hana Yori Dango 2", "Won"], ["2010", "Nikkan Sports Grand Prix (Fall)", "Best Supporting Actress", "Veterina... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Best Supporting Actress | 128 | Answer: |
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."], ["1998", "World Cross Country Championships", "Marrakech, Morocco", "8th", "Short ra... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Publication", "Country", "Accolade", "Year", "Rank"], ["The Wire", "United Kingdom", "The 100 Most Important Records Ever Made", "1992", "*"], ["The Times", "United Kingdom", "The 100 Best Albums of All Time", "1993", "58"], ["The New Nation", "United Kingdom", "Top 100 Albums by Black Artists", "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:... | United States | 128 | Answer: |
Table InputTable: [["Stage", "Date", "Route", "Terrain", "Length", "Winner", "Race leader"], ["5", "4 July", "Vannes – Les Sables d'Olonne", "Plain stage", "202 km (126 mi)", "Charles Pélissier (FRA)", "Charles Pélissier (FRA)\\n Rafaele di Paco (ITA)"], ["13", "14 July", "Marseille – Cannes", "Plain stage", "181 km (1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Location", "Reactor type", "Status", "Net\\nCapacity\\n(MWe)", "Gross\\nCapacity\\n(MWe)"], ["Chernobyl-6", "RBMK-1000", "construction cancelled in 1988", "950", "1,000"], ["Chernobyl-5", "RBMK-1000", "construction cancelled in 1988", "950", "1,000"], ["Kursk-6", "RBMK-1000", "construction cancelle... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 26 years | 128 | Answer: |
Table InputTable: [["Year", "Single", "Peak chart\\npositions\\nUS Country", "Peak chart\\npositions\\nCAN Country", "Album"], ["1983", "\"Hold Me\"", "67", "—", "singles only"], ["1972", "\"All Heaven Breaks Loose\"", "35", "—", "single only"], ["1977", "\"I'm Gonna Love You Right Out of This World\"", "21", "38", "si... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "I'm a Country Song" | 128 | Answer: |
Table InputTable: [["Episode", "Show #", "Iron Chef", "Challenger", "Challenger specialty", "Secret ingredient(s) or theme", "Winner", "Final score"], ["11", "IA0503", "Cat Cora", "Todd Richards", "Modern Southern", "Carrots", "Cat Cora", "48-46"], ["7", "IA0510", "Mario Batali", "Charles Clark", "New American", "Halib... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Year", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["1994", "Carl Fogarty", "11", "Ducati 916", "Ducati"], ["1999", "Carl Fogarty", "11", "Ducati 996", "Ducati"], ["1995", "Carl Fogarty", "13", "Ducati 916", "Ducati"], ["2001", "Troy Bayliss", "6", "Ducati 996", "Ducati"], ["1998"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Carl Fogarty | 128 | Answer: |
Table InputTable: [["Position", "Player", "Transferred From", "Date"], ["FW", "Laakkad Abdelhadi", "Free Transfer", "1 January 2010"], ["MF", "Mohd Noor Ali", "Geylang United", "1 January 2010"], ["GK", "Fajar Sarib", "Geylang United", "1 January 2010"], ["MF", "Guntur Djafril", "SAFFC", "1 January 2010"], ["DF", "Kazu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Geylang United | 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 3 (2001)", "Frances Domond", "Kenneth \"Kenny\" Yates", "Rachel Redd", "Eric Rollins", "Kaleigh Cronin", "Kevin \"Buzz\" Barrette", "Caroline Botelho"], ["Season 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:... | 7 | 128 | Answer: |
Table InputTable: [["Atomic\\nno.", "Name", "Symbol", "Group", "Period", "Block", "State at\\nSTP", "Occurrence", "Description"], ["7", "Nitrogen", "N", "15", "2", "p", "Gas", "Primordial", "Non-metal"], ["68", "Erbium", "Er", "3", "6", "f", "Solid", "Primordial", "Lanthanide"], ["102", "Nobelium", "No", "3", "7", "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:... | 7 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["21 November 1992", "Manchester United", "A", "0–3", "33,497", ""], ["26 January 1993", "Manchester City", "H", "0–1", "14,903", ""], ["5 September 1992", "Coventry City", "H", "0–1", "11,254", ""], ["26 September 1992", "Blackburn Ro... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 26 | 128 | Answer: |
Table InputTable: [["Name", "City", "Hospital beds", "Operating rooms", "Total", "Trauma designation", "Affiliation", "Notes"], ["Select Specialty Hospital - Durham", "Durham", "30", "0", "30", "-", "-", "-"], ["North Carolina Specialty Hospital", "Durham", "18", "4", "22", "-", "-", "-"], ["Grace Hospital", "Morganton... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 45 | 128 | Answer: |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Jose Menendez", "D", "San Antonio", "124"], ["Lyle Larson", "R", "San Antonio", "122"], ["Philip Cortez", "D", "San Antonio", "117"], ["Joe Straus", "R", "San Antonio", "121"], ["Roland Gutierrez", "D", "San Antonio", "119"], ["Justin Rodri... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date of Incident", "Offender", "Team", "Offense", "Date of Action", "Length"], ["March 20, 2012", "Shane Doan", "Phoenix Coyotes", "Elbowing Jamie Benn.", "March 21, 2012", "3 games"], ["April 17, 2012", "Raffi Torres", "Phoenix Coyotes", "Late charge to the head of Marian Hossa.", "April 21, 2012"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["1998", "Carl Fogarty", "3", "Ducati 916", "Ducati"], ["1995", "Carl Fogarty", "13", "Ducati 916", "Ducati"], ["1994", "Carl Fogarty", "11", "Ducati 916", "Ducati"], ["1999", "Carl Fogarty", "11", "Ducati 996", "Ducati"], ["2000"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1999 | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["1", "Corey Pavin", "United States", "72-69-71-68=280", "E", "350,000"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["T4", "Jeff Maggert", "United States", "69-72-77-66=284", "+4", "66,633"], ["T4", "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:... | Greg Norman | 128 | Answer: |
Table InputTable: [["Name", "Character", "Unicode code point (decimal)", "Standard", "DTD", "Old ISO subset", "Description"], ["Upsilon", "Υ", "U+03A5 (933)", "HTML 4.0", "HTMLsymbol", "ISOgrk3", "Greek capital letter Upsilon"], ["upsilon", "υ", "U+03C5 (965)", "HTML 4.0", "HTMLsymbol", "ISOgrk3", "Greek small letter 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:... | Tau | 128 | Answer: |
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"], ["Marc and Eva Stern Math and Science School", "71... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Woodrow Wilson High School, Santee Education Complex | 128 | Answer: |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["6.", "Jordi Alba", "Valencia", "14.0", "2012"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["1.", "Neymar", "Santos FC", "86.0", "2013"], ["3.", "Alexis Sánchez", "Udinese", "26+11(add ons)", "2011"], ["2.", "Cesc Fàb... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Adriano | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1987", "World Championships", "Rome, Italy", "13th", "Marathon", "2:17:45"], ["1990", "European Championships", "Split, FR Yugoslavia", "4th", "Marathon", "2:17:45"], ["1987", "Venice Marathon", "Venice, Italy", "1st", "Marathon", "2:1... | 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:... | 2 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["9", "Germany", "1", "0", "1", "2"], ["8", "Italy", "1", "2", "0", "3"], ["2", "Austria", "4", "3", "4", "11"], ["5", "Sweden", "2", "4", "4", "10"], ["4", "Switzerland", "3", "2", "1", "6"], ["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:... | Sweden | 128 | Answer: |
Table InputTable: [["Parish", "Church name", "Location", "Year built"], ["Levanger", "Levanger Church", "Levanger", "1902"], ["Levanger", "Bamberg Church", "Levanger", "1998"], ["Ytterøy", "Ytterøy Church", "Ytterøya", "1890"], ["Åsen", "Åsen Church", "Åsen", "1904"], ["Alstadhaug", "Alstadhaug Church", "Alstadhaug", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["School Name", "Low grade", "High grade", "Students (K-12)", "FTE Teachers", "Student/teacher ratio"], ["Nouvel Catholic Central High School", "9", "12", "505", "37", "13.65"], ["Sheridan Road Christian School", "K", "12", "42", "5.9", "7.12"], ["Valley Lutheran High School", "9", "12", "344", "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:... | Grace Christian School | 128 | Answer: |
Table InputTable: [["№", "#", "Title", "Directed by", "Written by", "Original air date", "Production\\ncode"], ["7", "7", "\"Perfect Mom\"", "Bethany Rooney", "Darren Star", "November 22, 1990", "2190006"], ["5", "5", "\"One on One\"", "Artie Mandelberg", "Charles Rosin", "November 1, 1990", "2190004"], ["12", "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:... | "One on One" | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1.", "Brazil", "21", "9", "12", "42"], ["8.", "Russia", "0", "2", "3", "5"], ["9.", "Argentina", "0", "2", "0", "2"], ["3.", "China", "1", "9", "8", "18"], ["2.", "United States", "9", "3", "6", "18"], ["7.", "Germany", "0", "5", "1", "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:... | Brazil | 128 | Answer: |
Table InputTable: [["Fence", "Name", "Jockey", "Age", "Handicap (st-lb)", "Starting price", "Fate"], ["26", "Rondetto", "Jeff King", "9", "11-6", "100/8", "Fell"], ["22", "Kapeno", "David Dick", "8", "11-6", "100/8", "Fell"], ["06", "Barleycroft", "Phil Harvey", "10", "10-13", "100/1", "Brought Down"], ["06", "Nedsmar"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rondetto | 128 | Answer: |
Table InputTable: [["Episode", "Show #", "Iron Chef", "Challenger", "Challenger specialty", "Secret ingredient(s) or theme", "Winner", "Final score"], ["2", "IA0508", "Mario Batali", "Tony Liu", "Pan-European", "Opah", "Mario Batali", "55-47"], ["7", "IA0510", "Mario Batali", "Charles Clark", "New American", "Halibut",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Site", "Result"], ["November 25", "Georgia", "Rickwood Field • Birmingham, AL", "W 33–6"], ["October 23", "Sewanee", "Rickwood Field • Birmingham, AL", "W 2–0"], ["November 6", "Kentucky", "Rickwood Field • Birmingham, AL", "W 14–0"], ["October 16", "at Georgia Tech", "Grant Fie... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alabama | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Winner", "1.", "13 February 2011", "Rancho Mirage, United States", "Hard", "Karolína Plíšková", "Nadejda Guskova\\n Sandra Zaniewska", "6–7(6–8), 6–1, 6–4"], ["Winner", "2.", "7 August 2011", "Vancouver, Canada", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["District", "Incumbent", "Party", "First\\nelected", "Result", "Candidates"], ["Maryland 2", "Robert Ehrlich", "Republican", "1994", "Retired to run for Governor\\nDemocratic gain", "Dutch Ruppersberger (D) 54.16%\\nHelen Bentley (R) 45.57%"], ["Maryland 4", "Albert Wynn", "Democratic", "1992", "Re-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Democratic | 128 | Answer: |
Table InputTable: [["Event", "Record", "Athlete", "Date", "Meet", "Place"], ["20000 m walk (track)", "1:17:25.6", "Bernardo Segura", "7 May 1994", "", "Bergen, Norway"], ["10000 m walk (track)", "38:24.0", "Bernardo Segura Rivera", "7 May 1994", "", "Fana, Norway"], ["20 km walk (road)", "1:17:26", "Bernardo Segura", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1:17:25.6 | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["160", "Kari Kanervo", "Centre", "Finland", "Minnesota North Stars", "TPS (Finland)"], ["157", "Petri Skriko", "Right Wing", "Finland", "Vancouver Canucks", "Saipa (Finland)"], ["150", "Tony Arima", "Left Wing",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Canada | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2", "Italy (ITA)", "1", "1", "1", "3"], ["3", "Germany (EUA)", "1", "0", "1", "2"], ["5", "Switzerland (SUI)", "0", "2", "1", "3"], ["7", "France (FRA)", "0", "0", "1", "1"], ["1", "Australia (AUS)", "2", "1", "0", "3"], ["7", "Great Britain ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS R&B", "Peak chart positions\\nUS Rap", "Album"], ["\"Gotta Believe It\"\\n(featuring Just Blaze)", "2009", "—", "—", "—", "Warning Shots 2"], ["\"Pain In My Life\"\\n(featuring Trey Songz)", "2006", "—", "—", "—", "N/A"], ["\"C... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Say Yes" | 128 | Answer: |
Table InputTable: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Round Earth", "Vasco da Robot", "Ferdinand Magellan", "1522", "Spain", "Early Sailor"], ["Boomerang", "Oswald the Mailman Robot", "Aborigines", "40,000 years ago", "Australia", "Mailman"], ["Tools", "Hank the Handyman Robot", "St... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bubble-Bot | 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)]"], ["PG16", "22.5 (0.886)", "18", "0.05556 (1.4112)", "21.16 (0.833)", "10 to 14 (0.394 to 0.551)"], ["PG42", "54.0 (2.126)", "16", "0.062... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 21.16 (0.833) | 128 | Answer: |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-12", "13 July 1918", "12 November 1918", "6 November 1919", "Sold 30 December 1935"], ["PE-15", "21 July 1918", "25 January 1919", "11 June 1919", "Sold 14 June 1934"], ["PE-11", "13 July 1918", "14 November 1918", "29 May 1919", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 44 | 128 | Answer: |
Table InputTable: [["Cellulose ethers", "Reagent", "Example", "Reagent", "Group R = H or", "Water solubility", "Application", "E number"], ["", "", "Ethyl hydroxyethyl cellulose", "Chloroethane and ethylene oxide", "-CH2CH3 or—CH2CH2OH", "", "", "E467"], ["", "", "Ethyl methyl cellulose", "Chloromethane and chloroethan... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Poll Source", "Sample Size", "Margin of Error", "Date", "Democrat", "%", "Republican", "%"], ["Survey USA", "563", "4.2", "Feb 15-17, 2008", "Hillary Clinton", "41", "John McCain", "52"], ["Survey USA", "543", "4.3", "Jan 4-6, 2008", "Hillary Clinton", "44", "John McCain", "48"], ["Survey USA", "51... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hillary Clinton, John McCain | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "Lusophony Games", "Macau", "1st", "800 m", "2:07.34"], ["2006", "Commonwealth Games", "Melbourne, Australia", "9th (sf)", "800 m", "2:01.84"], ["2011", "All-Africa Games", "Maputo, Mozambique", "12th (h)", "800 m", "2:06.72"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Commonwealth Games | 128 | Answer: |
Table InputTable: [["Week", "Date", "Result", "Record", "Opponent", "Points For", "Points Against", "First Downs", "Attendance"], ["1", "September 18", "Win", "1–0", "at Minnesota Vikings", "16", "10", "16", "47,678"], ["13", "December 12", "Win", "11–2", "at San Francisco 49ers", "42", "35", "24", "55,851"], ["11", "N... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Restaurant", "Location", "Date Opened", "Date Closed"], ["Maze by Gordon Ramsay", "One and Only Hotel, Cape Town, South Africa", "April 2009", "July 2010"], ["Maze / Maze Grill by Gordon Ramsay", "Crown Metropol, Melbourne, Australia", "March 2010", "August 2011"], ["Maze by Gordon Ramsay", "The Pe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 15 | 128 | Answer: |
Table InputTable: [["School Name", "Low grade", "High grade", "Students (K-12)", "FTE Teachers", "Student/teacher ratio"], ["Nouvel Catholic Central High School", "9", "12", "505", "37", "13.65"], ["Valley Lutheran High School", "9", "12", "344", "21", "16.38"], ["Sheridan Road Christian School", "K", "12", "42", "5.9"... | 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:... | Bethlehem Lutheran School | 128 | Answer: |
Table InputTable: [["Network name", "Flagship", "Programming type", "Owner", "Affiliates"], ["TV 10 Chiapas", "XHTTG", "educational", "Gobierno del Estado de Chiapas", "7"], ["Azteca 13", "XHDF 13", "news, soap operas, and sports", "TV Azteca", "4"], ["Azteca 7", "XHIMT 7", "sports, series, and movies", "TV Azteca", "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:... | 7 | 128 | Answer: |
Table InputTable: [["Position", "Sail Number", "Yacht", "State/Country", "Yacht Type", "LOA\\n(Metres)", "Skipper", "Elapsed Time\\nd:hh:mm:ss"], ["4", "AUS70", "Ragamuffin", "NSW", "Farr 50", "15.15", "Syd Fischer", "3:06:11:29"], ["7", "6606", "Quest", "NSW", "Nelson Marek 46", "14.12", "Bob Steel", "3:14:41:28"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sayonara | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Pulgarcito", "1", "November 11, 1995", "", ""], ["Vengador Boricua", "1", "July 19, 2003", "Carolina, Puerto Rico", "title becomes inactive when Vengador Boricua leaves the company."], ["Rex King", "1", "1995", "", ""], ["Glamour Boy Shane", "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:... | May 10, 2008 | 128 | Answer: |
Table InputTable: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 10", "Vanderbilt", "#11", "Bryant–Denny Stadium • Tuscaloosa, AL", "JPS", "W 17–7", "70,123"], ["September 17", "at Arkansas", "#12", "Razorback Stadium • Fayetteville, AR", "ABC", "W 13–6", "52,089"], ["October 1", "Ge... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Neyland Stadium | 128 | Answer: |
Table InputTable: [["#", "Title", "Performer(s)", "Film", "Length"], ["12", "\"Happy Working Song\"", "Amy Adams", "Enchanted", "2:09"], ["5", "\"Reflection\"", "Christina Aguilera", "Mulan", "3:33"], ["11", "\"True to Your Heart\"", "Keke Palmer", "Mulan", "3:22"], ["2", "\"That's How You Know\"", "Demi Lovato", "Ench... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "A Dream Is a Wish Your Heart Makes" | 128 | Answer: |
Table InputTable: [["Date", "Competition", "Location", "Country", "Event", "Placing", "Rider", "Nationality"], ["30 October 2009", "2009–10 World Cup", "Manchester", "United Kingdom", "500 m time trial", "2", "Victoria Pendleton", "GBR"], ["1 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "500 m 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:... | Victoria Pendleton | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Germany", "19", "28", "31", "78"], ["10", "Japan", "17", "16", "20", "53"], ["1", "China", "63", "46", "32", "141"], ["5", "Australia", "26", "38", "36", "100"], ["7", "Spain", "20", "27", "24", "71"], ["6", "Ukraine", "24", "12", "19", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Germany, France, Japan | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["11", "Kyrgyzstan (KGZ)", "1", "1", "0", "2"], ["8", "Sri Lanka (SRI)", "2", "0", "2", "4"], ["9", "Qatar (QAT)", "1", "4", "3", "8"], ["2", "India (IND)", "7", "6", "4", "17"], ["10", "Thailand (THA)", "1", "1", "2", "4"], ["3", "Saudi Arabia... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 (CHN) | 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"], ["Paul Christy", "1", "November 13, 1983", "Springfield, Illinois", ""], ["Randy Savage", "1", "March 13, 1979", "Halifax, Nova ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Iteration", "Year", "Dates", "Location", "Theme"], ["1st", "1972", "6 May-20 May", "Suva, Fiji", "\"Preserving culture\""], ["11th", "2012", "1–14 July", "Honiara, Solomon Islands", "\"Culture in Harmony with Nature\""], ["3rd", "1980", "30 June-12 July", "Port Moresby, Papua New Guinea", "\"Pacifi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Preserving culture" | 128 | Answer: |
Table InputTable: [["Position", "Player", "Transferred From", "Date"], ["MF", "Syed Karim", "SAFFC", "1 January 2010"], ["MF", "Mohd Noor Ali", "Geylang United", "1 January 2010"], ["GK", "Fajar Sarib", "Geylang United", "1 January 2010"], ["MF", "Guntur Djafril", "SAFFC", "1 January 2010"], ["MF", "Rachid Lajane", "Ra... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mohd Noor Ali | 128 | Answer: |
Table InputTable: [["Team", "City", "Venue", "Capacity", "Head Coach", "Team Captain", "Past Season"], ["Persepolis", "Tehran", "Azadi", "90,000", "Nelo Vingada", "Karim Bagheri", "Champion"], ["Est. Ahvaz", "Ahvaz", "Takhti Ahvaz", "30,000", "Khodadad Azizi", "Afshin Komaei", "8th"], ["Foolad", "Ahvaz", "Takhti Ahvaz"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Opus", "Title", "Subdivisions", "Compo-sition", "Première date", "Place, theatre"], ["16", "Wahnopfer", "3 acts", "1928", "1994", "Rudolstadt, Heidecksburg only libretto and Act 1 finished"], ["14", "Rainulf und Adelasia", "3 acts", "1922", "1923", "Rostock (prelude only)"], ["17", "Walamund (libr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Date", "Location", "Discipline", "Place"], ["2014", "24 Jan 2014", "Cortina d'Ampezzo, Italy", "Downhill", "2nd"], ["2014", "26 Jan 2014", "Cortina d'Ampezzo, Italy", "Super-G", "2nd"], ["2014", "25 Jan 2014", "Cortina d'Ampezzo, Italy", "Downhill", "3rd"], ["2014", "29 Nov 2013", "Beaver... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Time", "Wind", "Auto", "Athlete", "Nationality", "Location of race", "Date"], ["20.6", "", "", "Andy Stanfield", "United States", "Los Angeles, United States", "June 28, 1952"], ["20.6y", "", "", "Andy Stanfield", "United States", "Philadelphia, United States", "May 26, 1951"], ["20.6", "", "", "Ra... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["1998", "153", "14", "", ""], ["1997", "141", "", "", ""], ["1994", "154", "", "", ""], ["1996", "130", "", "", ""], ["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: [["Year", "Award", "Nominated work", "Category", "Result"], ["2008", "Glamour Woman Of The Year Awards", "Leona Lewis", "UK Solo Artist", "Won"], ["2007", "Cosmopolitan Ultimate Woman of the Year", "Leona Lewis", "Newcomer of the Year", "Won"], ["2009", "BEFFTA Awards", "Leona Lewis", "Best Female Act... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2008 | 128 | Answer: |
Table InputTable: [["Time", "Wind", "Auto", "Athlete", "Nationality", "Location of race", "Date"], ["20.6y", "", "", "Andy Stanfield", "United States", "Philadelphia, United States", "May 26, 1951"], ["19.8A", "0.9", "19.83A", "Tommie Smith", "United States", "Mexico City, Mexico", "October 16, 1968"], ["20.6", "", "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:... | United States | 128 | Answer: |
Table InputTable: [["No.", "Date", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["4.", "August 8, 2011", "Peru F1", "Clay", "Sergio Galdós", "Martín Cuevas\\n Guido Pella", "6–4, 6–0"], ["2.", "April 4, 2011", "Chile F2", "Clay", "Sergio Galdós", "Guillermo Hormazábal\\n Rodrigo Pérez", "5–... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Clay | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["6", "October 11, 1981", "Seattle Seahawks", "W 35–17", "42,671"], ["10", "November 8, 1981", "Oakland Raiders", "W 17–16", "45,519"], ["8", "October 26, 1981", "at Pittsburgh Steelers", "L 26–13", "52,732"], ["2", "September 13, 1981", "at Cleve... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Hull", "Type", "Original Name", "Original Operator", "Delivery", "Disposition (2012)", "2nd name", "2nd operator", "3rd Name", "3rd operator"], ["№ 11", "929-117", "Princess Teguise", "Trasmediterranea", "Jun 1991", "Active", "2007 Toppy 5", "Tane Yaku Jetfoils", "", ""], ["№ 5", "929-117", "Nagasa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Toppy 2 | 128 | Answer: |
Table InputTable: [["Character", "Actor", "Series", "Notes"], ["Professor Sam Ryan", "Amanda Burton", "Series 1-8", "Sam originally lived and worked in Cambridge, but moved to London at the end of series three after she was offered the job of professor at a university. Sam departed in the first episode of series eight,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sam | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air Date", "Timeslot", "Rating", "Share", "18-49", "Viewers", "Weekly Rank"], ["6", "\"It's Show Time\"", "June 11, 2008", "9:00 P.M.", "1.3", "2", "0.8/2 (#5)", "2.04 (#5)", "76/88"], ["4", "\"Do-Si-Do\"", "May 28, 2008", "9:00 P.M.", "1.8", "3", "0.9/2 (#5)", "2.44 (#5)", "75/87"]... | 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:... | 7 | 128 | Answer: |
Table InputTable: [["Season", "Winning Team", "Score", "Losing Team", "Score", "Location", "Stadium"], ["1970–71", "Baltimore Colts (1)", "27", "Oakland Raiders", "17", "Baltimore, Maryland", "Memorial Stadium"], ["1974–75", "Pittsburgh Steelers (1)", "24", "Oakland Raiders", "13", "Oakland, California", "Oakland Colis... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Stations", "Connections", "City/ Neighborhood", "Parking", "Date Opened"], ["Reseda", "Metro Rapid: 741\\nMetro Local: 240", "Tarzana", "522 Spaces", "October 29, 2005"], ["Nordhoff", "Metro Local: 166, 364\\nLADOT DASH Northridge", "Chatsworth", "n/a", "June 30, 2012"], ["De Soto", "Metro Local: 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:... | 2 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Yugoslavia", "3", "2", "1", "6"], ["7", "Egypt", "0", "1", "7", "8"], ["2", "Greece", "6", "7", "6", "19"], ["Totaal", "Totaal", "23", "23", "22", "68"], ["8", "Tunisia", "0", "1", "0", "1"], ["1", "France", "11", "5", "3", "19"], ["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:... | 23 | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["Quarterfinals-2", "2008..", "[[]]", "[[]]", "-"], ["Quarterfinals-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "2008..", "[[]]", "[[]]", "-"], ["GL-B-4", "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:... | 4 | 128 | Answer: |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["1971", "Cologne", "Royal Sporting Club Anderlecht", "Real Zaragoza", "-"], ["1972", "Hamburg SV", "Sociedade Esportiva Palmeiras", "Real Zaragoza", "-"], ["1973", "Borussia Mönchengladbach", "PFC CSKA Sofia", "Real Zaragoza", "West Ham"], ["1974... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cologne | 128 | Answer: |
Table InputTable: [["Cellulose ethers", "Reagent", "Example", "Reagent", "Group R = H or", "Water solubility", "Application", "E number"], ["", "", "Ethyl methyl cellulose", "Chloromethane and chloroethane", "-CH3 or -CH2CH3", "", "", "E465"], ["", "", "Hydroxyethyl methyl cellulose", "Chloromethane and ethylene oxide"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Name", "Owner", "Location", "Notes", "Transmission", "Website"], ["Multiradio", "Multiradio srl", "Massafra, (TA)", "Local; Adult Contemporary", "FM", "http://www.multiradio.it"], ["Radio Dimensione Suono", "", "Rome", "Commercial; It is also called RDS", "FM, DAB, DAB+, DVB-S", "http://www.rds.it"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Time", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["October 27", "2:30 PM", "Michigan State", "#25", "Camp Randall Stadium • Madison, WI", "ABC/ESPN2", "L 13–16 OT", "80,538"], ["October 6", "2:30 PM", "Illinois", "", "Camp Randall Stadium • Madison, WI", "ABC/ESPN2", "W 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:... | 4 | 128 | Answer: |
Table InputTable: [["Date", "Rnd", "Race Name", "Circuit", "City/Location", "Pole position", "Winning driver", "Winning team", "Report"], ["5", "June 17", "Valvoline Grand Prix of Detroit", "Streets of Detroit", "Detroit, Michigan", "Michael Andretti", "Michael Andretti", "Newman/Haas Racing", "Report"], ["12", "Septem... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | longer | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2011", "World Championships", "Daegu, South Korea", "9th", "5.65 m"], ["2012", "European Championships", "Helsinki, Finland", "6th", "5.60 m"], ["2009", "European U23 Championships", "Kaunas, Lithuania", "8th", "5.15 m"], ["2009", "World Champi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2012 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["2006", "Dança no Gelo", "Herself", "Reality show of Domingão do Faustão"], ["2006", "Pé na Jaca", "Elizabeth Aparecida Barra", ""], ["2013", "A Grande Família", "Bianca", "Cameo"], ["2004", "Casseta & Planeta, Urgente!", "Darlene Sampaio", "Cameo"], ["2011", "Ins... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["2", "Lord High Chancellor", "The Rt Hon Chris Grayling, MP", "", ""], ["9", "Lord High Admiral", "HRH The Duke of Edinburgh", "", ""], ["7", "Lord High Constable", "vacant", "Earl Marshal", "Master of the Horse"], ["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:... | Lord High Steward | 128 | Answer: |
Table InputTable: [["School Name", "Low grade", "High grade", "Students (K-12)", "FTE Teachers", "Student/teacher ratio"], ["Nouvel Catholic Central High School", "9", "12", "505", "37", "13.65"], ["St Stephen Elementary School", "PK", "8", "364", "23.1", "15.76"], ["Sheridan Road Christian School", "K", "12", "42", "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:... | 37 | 128 | Answer: |
Table InputTable: [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["1985-86", "2", "1986 1st Division", "Claus Nielsen (16)", "Quarter-final", "", ""], ["1984-85", "1", "1985 1st Division", "Claus Nielsen (17)", "3rd round", "", ""], ["1986-87", "1", "1987 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["#", "Name", "Height", "Weight (lbs.)", "Position", "Class", "Hometown", "Previous Team(s)"], ["21", "Artem Wallace", "6'8\"", "250", "C", "Jr.", "Toledo, WA, U.S.", "Toledo HS"], ["4", "Tim Morris", "6'4\"", "210", "G", "Sr.", "Spokane Wa, U.S.", "Central Valley HS"], ["44", "Darnell Gant", "6'8\""... | 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:... | 4 | 128 | Answer: |
Table InputTable: [["Goal", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["3", "2011-6-4", "Petrovsky Stadium, Saint Petersburg, Russia", "Russia", "0-1", "3–1", "Euro 2012 Q"], ["6", "2012-2-29", "Tsirion Stadium, Limassol, Cyprus", "Canada", "1-1", "1-3", "Friendly match"], ["7", "2012-2-29", "Tsir... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Tier", "Division", "Place"], ["1988/89", "4", "3ª", "3rd"], ["1991/92", "3", "2ªB", "12th"], ["1993/94", "3", "2ªB", "15th"], ["1994/95", "3", "2ªB", "9th"], ["1992/93", "3", "2ªB", "4th"], ["1997/98", "4", "3ª", "1st"], ["1995/96", "3", "2ªB", "19th"], ["1989/90", "4", "3ª", "1st"], ["19... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Name", "Location", "Date Formed", "Area", "Description"], ["Canaveral", "Florida\\n28°46′N 80°47′W / 28.77°N 80.78°W", "January 3, 1975", "57,661.69 acres (233.3 km2)", "Adjacent to the Kennedy Space Center, this barrier island has a variety of recreational activities including hiking, boating, 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:... | Canaveral | 128 | Answer: |
Table InputTable: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Sackville", "1", "Delaware County", "", ""], ["Sadsburyville", "1", "Chester County", "19369", ""], ["Sackett", "1", "Elk County", "16735", ""], ["Sellersville", "1", "Bucks County", "18960", ""], ["Sha... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sackett | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Winner", "4.", "30 January 2012", "Grenoble, France", "Hard (i)", "Karolína Plíšková", "Valentyna Ivakhnenko\\n Maryna Zanevska", "6–1, 6–3"], ["Runner-up", "4.", "17 September 2012", "Shrewsbury, United Kingdom",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Score", "Result", "Location"], ["March 6, 1964", "Michigan State", "9–4", "Win", "East Lansing, MI"], ["March 13, 1964", "Michigan Tech", "5–5", "Tie", "Coliseum, Ann Arbor, MI"], ["March 7, 1964", "Michigan State", "13–4", "Win", "Coliseum, Ann Arbor, MI"], ["Feb. 14, 1964", "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:... | 25 | 128 | Answer: |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.