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: [["Route", "Name", "Fare Type", "Terminals", "Terminals", "Major streets", "Notes", "History"], ["70", "Georgia Avenue-7th Street Line", "Local", "Silver Spring station*", "Archives station", "Georgia Avenue NW\\n7th Street NW", "Silver Spring terminus is located on Wayne Avenue until completion of th... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Georgia Avenue-7th Street Line | Answer: | 128 |
Table InputTable: [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["1981-82", "4", "1982 1st Division", "Michael Laudrup (15)", "4th round", "", ""], ["1982-83", "4", "1983 1st Division", "Brian Chrøis (12)", "4th round", "", ""], ["1987-88", "1", "1988 1st... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Designer(s)", "Brief description", "Selected by:", "Associated publication"], ["1963", "Mary Quant\\nReed Crawford (hat)\\nAnello & Davide (boots)", "Grey wool 'Rex Harrison' pinafore dress & cream blouse", "Members of The Fashion Writers' Association", ""], ["1997", "Female: Hussein Chalay... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Members of The Fashion Writers' Association | Answer: | 128 |
Table InputTable: [["Number", "Name", "Service", "From", "To"], ["22", "Lt Gen John B. Conaway", "USAF", "February 1, 1990", "December 1, 1993"], ["12", "MG Butler B. Miltonberger", "USA", "February 1, 1946", "September 29, 1947"], ["11", "MG John F. Williams", "USA", "January 31, 1940", "January 30, 1944"], ["(Acting)... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | COL Erasmus M. Weaver, Jr. | Answer: | 128 |
Table InputTable: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Tatyana Dogileva\\n45.the actress", "Pelicans", "Barracudas", "", "6th Voted Out\\nDay 18", "3"], ["Marina Aleksandrova\\n20.the actress", "Barracudas", "Pelicans", "Crocodiles", "9th Voted Out\\n4th Jury 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:... | Tat'yana Ovsiyenko | Answer: | 128 |
Table InputTable: [["No. in\\nseason", "No. in\\nseries", "Title", "Canadian airdate", "US airdate", "Production code"], ["29", "346", "\"Sparks Will Fly\" Part One", "April 15, 2014", "April 15, 2014", "1329"], ["30", "347", "\"Sparks Will Fly\" Part Two", "April 22, 2014", "April 22, 2014", "1330"], ["14", "331", "\"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Summertime | Answer: | 128 |
Table InputTable: [["No", "Driver", "Entrant", "Constructor", "Chassis", "Engine"], ["22", "Mario Tadini", "Scuderia Ferrari", "Alfa Romeo", "Alfa Romeo 6C 1750GS", "1.8 L6"], ["?", "?", "Scuderia Ferrari", "Alfa Romeo", "Alfa Romeo 6C 1500", "1.5 L6"], ["?", "?", "Scuderia Ferrari", "Alfa Romeo", "Alfa Romeo P2", "2.0... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Player", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Culina", "-", "-", "1", "1"], ["Milicic", "2", "-", "-", "2"], ["Chipperfield", "1", "-", "1", "2"], ["Viduka", "1", "-", "2", "3"], ["Colosimo", "1", "-", "-", "1"], ["Zdrilic", "1", "-", "-", "1"], ["Bresc... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | FIFA Confederations Cup | Answer: | 128 |
Table InputTable: [["Place", "Shooter", "5 pts", "4 pts", "3 pts", "2 pts", "1 pts", "0 pts", "Total", "Rank"], ["1", "Einar Liberg", "5", "2", "3", "-", "-", "-", "42", "2"], ["2", "Otto Hultberg", "1", "6", "3", "-", "-", "-", "38", "8"], ["2", "Mauritz Johansson", "2", "4", "3", "1", "-", "-", "37", "11"], ["6", "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:... | 42 | Answer: | 128 |
Table InputTable: [["Date", "Date", "", "Rank", "Tournament name", "Venue", "City", "Winner", "Runner-up", "Score"], ["11–15", "12–01", "ENG", "WR", "UK Championship", "Guild Hall", "Preston", "Stephen Hendry", "John Higgins", "10–9"], ["01–02", "01–05", "ENG", "", "Charity Challenge", "International Convention Centre"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Name", "Height", "Weight (lbs.)", "Position", "Class", "Hometown", "Previous Team(s)"], ["44", "Darnell Gant", "6'8\"", "215", "F", "Fr.", "Los Angeles, CA, U.S.", "Crenshaw HS"], ["21", "Artem Wallace", "6'8\"", "250", "C", "Jr.", "Toledo, WA, U.S.", "Toledo HS"], ["20", "Ryan Appleby", "6'3\... | 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:... | Joe Wolfinger | Answer: | 128 |
Table InputTable: [["Season", "Episodes", "Season Premiere", "Season Finale"], ["4", "48", "October 13, 2008", "May 11, 2009"], ["3", "44", "October 15, 2007", "June 2, 2008"], ["5", "40", "October 12, 2009", "June 14, 2010"], ["2", "52", "October 7, 2006", "July 16, 2007"], ["7", "8", "October 29, 2013", "December 17,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | above | Answer: | 128 |
Table InputTable: [["Year", "Name", "Year", "Name", "Year", "Name"], ["1910-11", "", "1942-43", "Mr P.Venter", "1974-75", ""], ["1919-20", "Mr B.Melman", "1951-52", "Mr P.Venter", "1984-85", ""], ["1911-12", "Mr B.Owen- Jones", "1943-44", "Mr P.Venter", "1975-76", "Mr Sakkie Blanche"], ["1918-19", "Mr J.Campbell", "195... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1940-41 | 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)", ""], ["Punjabi", "130,000,000", "100,017,615", "20.87%", "113 M"], ["Urdu", "51,536,111", "43,40... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 30 | Answer: | 128 |
Table InputTable: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["La Romana", "Alina Charlin Espinal Luna", "19", "1.81", "La Romana"], ["Com. Dom. EU", "Sandra Elisabeth Tavares Ruíz", "19", "1.80", "Newark"], ["La Altagracia", "Ana Carolina Viñas Machado", "22", "1.84", "Santiago de los Caballeros"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alina Charlin Espinal Luna | Answer: | 128 |
Table InputTable: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["1994", "Jean Harbor", "–", "–", "–"], ["2010", "Philippe Billy", "Philippe Billy", "Tony Donatelli", "Ali Gerba"], ["2000", "Jim Larkin", "–", "–", "–"], ["2003", "Greg Sutton", "Gabriel Gervais", "David Fronima... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Patrice Ferri | 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)]"], ["PG11", "18.6 (0.732)", "18", "0.05556 (1.4112)", "17.26 (0.680)", "5 to 10 (0.197 to 0.394)"], ["PG42", "54.0 (2.126)", "16", "0.0625... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | PG7 | Answer: | 128 |
Table InputTable: [["Game", "Day", "Date", "Kickoff", "Opponent", "Results\\nScore", "Results\\nRecord", "Location", "Attendance"], ["2", "Sunday", "November 17", "1:05pm", "Monterrey Flash", "L 6–10", "0–2", "UniSantos Park", "363"], ["1", "Sunday", "November 10", "3:05pm", "at Las Vegas Legends", "L 3–7", "0–1", "Orl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 19 | Answer: | 128 |
Table InputTable: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["6", "9", "Prisoners Of Planet X", "A UFO has been sighted. The pilot abducts the Fantastic Four from the Science Center and is setting course for Planet X. There, their dictator Kurrgo requests the Fantastic Four save their planet from another pl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 year | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["6", "South Korea", "0", "0", "2", "2"], ["5", "North Korea", "1", "0", "1", "2"], ["2", "Japan", "7", "10", "7", "24"], ["1", "China", "13", "9", "13", "35"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["4", "Kazakhstan", "2", "2", "0", "4"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted"], ["1", "109", "20", "125", "39", "116", "58", "37", "77", "65"], ["0", "57", "19", "108", "38", "113", "57", "91", "76", "79"], ["2", "60", "21", "82", "40", "121", "59", "92", "78", "4... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Date", "Opponent", "Score", "Result", "Record"], ["May 22", "Seattle", "75-64", "Win", "1-0"], ["August 19", "Seattle", "52-47", "Win", "20-11"], ["July 15", "@ Seattle", "55-69", "Loss", "10-8"], ["August 23", "@ Seattle", "64-71", "Loss", "20-13"], ["July 5", "Washington", "76-54", "Win", "9-7"],... | 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:... | 4 | Answer: | 128 |
Table InputTable: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Direct War Losses", "360,000", "", "", "", "", "183,000", "543,000"], ["Total", "504,000", "352,000", "407,000", "541,000", "681,000", "270,000", "2,770,000"], ["Deaths other countries", "", "", "", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2,227,000 | 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", "", ""], ["St Pauls Lutheran School", "PK", "8", "155", "9.6", "16.15"], ["Immanuel Lutheran... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Good Shepherd Early Childhood | Answer: | 128 |
Table InputTable: [["Year", "Award", "Film", "Result"], ["1988", "Best Actress", "Agent trouble", "Nominated"], ["1997", "Best Actress", "Les Voleurs", "Nominated"], ["1994", "Best Actress", "Ma saison préférée", "Nominated"], ["2006", "Best Supporting Actress", "Palais Royal!", "Nominated"], ["1976", "Best Actress", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1988 | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["4", "Adam Małysz", "POL", "127.0", "130.5", "261.5"], ["1", "Matti Hautamäki", "FIN", "132.0", "131.5", "274.3"], ["5", "Andreas Kofler", "AUT", "126.5", "132.0", "261.3"]] | 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:... | 3 | Answer: | 128 |
Table InputTable: [["Game", "Date", "Opponent", "Location", "Score", "OT", "Attendance", "Record"], ["9", "February 24, 2007", "Philadelphia Wings", "HSBC Arena", "W 13–12", "", "14,882", "5–4"], ["4", "January 20, 2007", "Minnesota Swarm", "HSBC Arena", "W 22–13", "", "12,883", "2–2"], ["13", "March 31, 2007", "Chicag... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | above | Answer: | 128 |
Table InputTable: [["Season", "Tier", "League", "Pos.", "Postseason", "German Cup", "European competitions"], ["2006–07", "1", "Bundesliga", "1", "Champion", "–", "2 Played ULEB Cup"], ["1991–92", "1", "Bundesliga", "2", "Semifinalist", "Champion", "–"], ["2004–05", "1", "Bundesliga", "1", "Champion", "–", "2 Played UL... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["1994", "Carl Fogarty", "11", "Ducati 916", "Ducati"], ["1998", "Carl Fogarty", "3", "Ducati 916", "Ducati"], ["1995", "Carl Fogarty", "13", "Ducati 916", "Ducati"], ["2001", "Troy Bayliss", "6", "Ducati 996", "Ducati"], ["1996",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date introduced", "Class 1 (e.g. Motorbike)", "Class 2 (e.g. Car)", "Class 3 (e.g. Car with trailer)", "Class 4 (e.g. Van)", "Class 5 (e.g. HGV)"], ["1 January 2008", "£2.50", "£4.50", "£8.00", "£9.00", "£9.00"], ["1 January 2009", "£2.70", "£4.70", "£8.40", "£9.40", "£9.40"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | £5.00 | Answer: | 128 |
Table InputTable: [["Date", "Festival", "Location", "Awards", "Link"], ["Oct 9, Oct 11", "Sitges Film Festival", "Sitges, Catalonia\\n Spain", "", "Sitges Festival"], ["Nov 16–18", "AFF", "Wrocław, Lower Silesia\\n Poland", "", "AFF Poland"], ["Sep 19", "Lund International Fantastic Film Festival", "Lund, Skåne\\n Swed... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1.", "Brazil", "21", "9", "12", "42"], ["9.", "Argentina", "0", "2", "0", "2"], ["8.", "Russia", "0", "2", "3", "5"], ["7.", "Germany", "0", "5", "1", "6"], ["6.", "Estonia", "1", "0", "0", "1"], ["12.", "Austria", "0", "0", "1", "1"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 42 | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["2007", "4", "USL PDL", "3rd, Heartland", "Did not qualify", "1st Round"], ["2003", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did not qualify"], ["2002", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did no... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Competition", "Total spectatorship", "Average match attendance", "Year"], ["Big Bash League", "550,262", "17,750", "2011/2012"], ["Rugby Championship", "133,532", "44,511", "2012"], ["A-League", "1,772,133", "12,707", "2012/2013"], ["Super Rugby", "773,940", "19,348", "2012"], ["Australian Football... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Big Bash League | Answer: | 128 |
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:... | 2 | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["8", "26", "Philippe Alliot", "Ligier-Renault", "79", "+ 3 Laps", "8", ""], ["7", "25", "René Arnoux", "Ligier-Renault", "79", "+ 3 Laps", "5", ""], ["Ret", "7", "Riccardo Patrese", "Brabham-BMW", "63", "Electrical", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Italy | 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:... | 2004-02-27 | Answer: | 128 |
Table InputTable: [["Year", "Chassis", "Engine", "Start", "Finish", "Team"], ["2009", "Dallara", "Honda", "1", "1", "Team Penske"], ["2012", "Dallara", "Chevrolet", "6", "10", "Team Penske"], ["2008", "Dallara", "Honda", "4", "4", "Team Penske"], ["2002", "Dallara", "Chevrolet", "13", "1", "Team Penske"], ["2010", "Dal... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dallara | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1953/54", "N/A", "ASL", "1st", "Champion (no playoff)", "Champion"], ["1935/36", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1937/38", "N/A", "ASL", "3rd(t), National", "1st Round", "?"], ["1952/53", "N/A", "ASL", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6th | Answer: | 128 |
Table InputTable: [["Year", "Name", "Label", "Hot Black Singles", "Club Play Singles"], ["1984", "\"Thin Line\"", "Power House", "―", "―"], ["1982", "\"He's Gonna Take You Home\"", "Becket", "―", "―"], ["1983", "\"I Need You Now\"", "Jive", "―", "―"], ["1987", "\"Send It C.O.D.\"", "New Image", "―", "―"], ["1982", "\"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:... | "Thin Line" | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1953/54", "N/A", "ASL", "1st", "Champion (no playoff)", "Champion"], ["1935/36", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1937/38", "N/A", "ASL", "3rd(t), National", "1st Round", "?"], ["1936/37", "N/A", "ASL", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Team", "Chassis", "Engine", "Tires", "No", "Drivers"], ["Team KOOL Green", "Reynard 98i", "Honda", "Firestone", "27", "Dario Franchitti"], ["Team KOOL Green", "Reynard 98i", "Honda", "Firestone", "26", "Paul Tracy"], ["Team Rahal", "Reynard 98i", "Ford XB", "Firestone", "8", "Bryan Herta"], ["Marlb... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chip Ganassi Racing, Walker Racing, Tasman Motorsports Group | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Nationality", "Time"], ["8", "Edith Arraspide", "Argentina", "5:13.95"], ["5", "Fabíola Molina", "Brazil", "5:03.43"], ["", "Joanne Malar", "Canada", "4:43.64"], ["", "Jenny Kurth", "United States", "4:57.24"], ["", "Alison Fealey", "United States", "4:48.31"], ["7", "Carolyn Adel",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Diver", "Nationality", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints", "Final\\nRank"], ["19", "Jun Hoong Cheong", "Malaysia", "241.95", "18", "", ""], ["35", "Sari Ambarwati", "Indonesia", "200.05", "35", "", ""], ["26", "Choi Sut Ian", "Macau", "224.50", "26", "", ""], ["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:... | Jun Hoong Cheong | Answer: | 128 |
Table InputTable: [["Year", "Manufacturer", "Model", "Length (feet)", "Quantity", "Fleet Series", "Fuel Propulsion", "Powertrain"], ["1996", "New Flyer", "D60", "60 (articulated)", "30", "1901-1930*", "Diesel", "Detroit Diesel Series 50\\nAllison B400R"], ["2003", "Van Hool", "AG300", "60", "57", "2001-2057", "Diesel",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1996 | Answer: | 128 |
Table InputTable: [["Episode no.", "Airdate", "Viewers", "BBC Three weekly ranking", "Multichannels rank"], ["8", "13 June 2013", "840,000", "5", "19"], ["10", "27 June 2013", "730,000", "N/A", "28"], ["4", "16 May 2013", "880,000", "1", "13"], ["9", "20 June 2013", "1,204,000", "6", "9"], ["3", "9 May 2013", "885,000"... | 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:... | 9 | Answer: | 128 |
Table InputTable: [["Season", "Episodes", "Season Premiere", "Season Finale"], ["5", "40", "October 12, 2009", "June 14, 2010"], ["4", "48", "October 13, 2008", "May 11, 2009"], ["3", "44", "October 15, 2007", "June 2, 2008"], ["6", "20", "September 6, 2010", "December 6, 2010"], ["2", "52", "October 7, 2006", "July 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:... | 6 | Answer: | 128 |
Table InputTable: [["Frequency", "Call sign", "Name", "Format", "Owner", "Target city/market", "City of license"], ["106.3 FM", "KVHT", "Classic Hits 106.3", "Classic Hits", "Cullhane Communications, Inc.", "Yankton/Vermillion", "Vermillion"], ["104.1 FM", "WNAX-FM", "The Wolf 104.1", "Country", "Saga Communications", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 106.3 FM | Answer: | 128 |
Table InputTable: [["May 20-21\\n118", "March 9\\n120", "December 25-26\\n122", "October 13-14\\n124", "August 1-2\\n126"], ["138", "140", "142", "144", "146"], ["May 21, 2031", "March 9, 2035", "December 26, 2038", "October 14, 2042", "August 2, 2046"], ["128", "130", "132", "134", "136"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 154 | Answer: | 128 |
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 6", "Roscoe Bartlett", "Republican", "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:... | 2 | Answer: | 128 |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Joe Straus", "R", "San Antonio", "121"], ["Lyle Larson", "R", "San Antonio", "122"], ["Trey Martinez Fischer", "D", "San Antonio", "116"], ["Joe Farias", "D", "San Antonio", "118"], ["Roland Gutierrez", "D", "San Antonio", "119"], ["Mike Vi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Republican | Answer: | 128 |
Table InputTable: [["Chord", "Root", "Minor Third", "Perfect Fifth", "Major Seventh"], ["FmM7", "F", "A♭", "C", "E"], ["D♭mM7", "D♭", "F♭ (E)", "A♭", "C"], ["F♯mM7", "F♯", "A", "C♯", "E♯ (F)"], ["CmM7", "C", "E♭", "G", "B"], ["E♭mM7", "E♭", "G♭", "B♭", "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:... | F | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["2001", "IAAF Grand Prix Final", "Melbourne, Australia", "4th", "3000 m st."], ["", "IAAF Grand Prix Final", "Munich, Germany", "4th", "3000 m st."], ["1998", "World Cross Country Championships", "Marrakech, Morocco", "8th", "Short race"], ["200... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | All-Africa Games | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Croatia", "0", "3", "3", "6"], ["Total", "Total", "43", "41", "42", "126"], ["9", "Egypt", "0", "1", "2", "3"], ["2", "Italy", "12", "8", "10", "30"], ["5", "Greece", "3", "4", "9", "16"], ["3", "Slovenia", "5", "4", "3", "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:... | 4.7 | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["2", "Tami Kiuru", "FIN", "128.5", "130.5", "264.7"], ["4", "Adam Małysz", "POL", "127.0", "130.5", "261.5"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["1", "Matti Hautamäki", "FIN", "132.0", "131.5", "274.3"]] | 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:... | 5 | Answer: | 128 |
Table InputTable: [["Rank", "City", "Passengers", "Top Carriers"], ["9", "Atlanta, GA", "400,000", "Delta, United"], ["5", "Dallas/Fort Worth, TX", "488,000", "American, United"], ["8", "Charlotte, NC", "441,000", "United, US Airways"], ["10", "Phoenix, AZ", "393,000", "United, US Airways"], ["7", "Las Vegas, NV", "442... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Atlanta, GA | Answer: | 128 |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2013", "15th Mnet Asian Music Awards", "Artist of the Year", "Herself", "Nominated"], ["2013", "15th Mnet Asian Music Awards", "Best Female Artist", "Herself", "Nominated"], ["2013", "15th Mnet Asian Music Awards", "Best Vocal Performance - Fema... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Film", "Role", "Language", "Notes"], ["2010", "Krishnan Love Story", "Geetha", "Kannada", "Filmfare Award for Best Actress - Kannada\\nUdaya Award for Best Actress"], ["2012", "Addhuri", "Poorna", "Kannada", "Udaya Award for Best Actress\\nNominated — SIIMA Award for Best Actress\\nNominate... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["School", "2007", "2008", "2009", "2010", "2011"], ["Woodrow Wilson High School", "582", "585", "600", "615", "636"], ["Abraham Lincoln High School", "594", "609", "588", "616", "643"], ["Theodore Roosevelt High School", "557", "551", "576", "608", ""], ["Marc and Eva Stern Math and Science School",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 54 | Answer: | 128 |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["16", "4", "Dan Wheldon", "Panther Racing", "84", "+ 1 Lap", "17", "0", "14"], ["13", "18", "Justin Wilson", "Dale Coyne Racing", "85", "+ 53.5768", "2", "28", "17"], ["2", "6", "Ryan Briscoe", "Penske 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:... | Justin Wilson | Answer: | 128 |
Table InputTable: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Sheridan", "1", "Lebanon County", "17073", ""], ["Sheridan", "1", "Schuylkill County", "17980", ""], ["Seven Valleys", "1", "York County", "17360", ""], ["Sinclair", "1", "Westmoreland County", "", ""],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Tier", "League", "Pos.", "Postseason", "German Cup", "European competitions"], ["2000–01", "1", "Bundesliga", "10", "Relegation playoffs", "–", "–"], ["1993–94", "1", "Bundesliga", "1", "Semifinalist", "Semifinalist", "–"], ["2001–02", "1", "Bundesliga", "7", "Quarterfinalist", "–", "–"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Name", "Nationality", "Time", "Notes", "Points"], ["4", "Mario Scapini", "Italy", "1:47.20", "PB", "9"], ["11", "António Rodrigues", "Portugal", "1:50.45", "", "2"], ["12", "Milan Kocourek", "Czech Republic", "1:59.28", "", "1"], ["1", "Adam Kszczot", "Poland", "1:46.50", "", "12"], ["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:... | Mario Scapini | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2011", "World Championships", "Daegu, South Korea", "48th (h)", "200 m", "21.45"], ["2009", "Asian Championships", "Guangzhou, China", "1st", "200 m", "21.07"], ["2008", "World Indoor Championships", "Valencia, Spain", "28th (h)", "60 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Asian Championships | Answer: | 128 |
Table InputTable: [["Country", "Amphibians", "Birds", "Mammals", "Reptile", "Total terrestrial vertebrates", "Vascular plants", "Biodiversity"], ["Costa Rica", "183", "838", "232", "258", "1511", "12119", "13630"], ["Panama", "182", "904", "241", "242", "1569", "9915", "11484"], ["Honduras", "101", "699", "201", "213",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Costa Rica | 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)", ""], ["Urdu", "51,536,111", "43,406,932", "5.18%", "60.3 M"], ["Punjabi", "130,000,000", "100,01... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ho | Answer: | 128 |
Table InputTable: [["Year", "Car", "Start", "Qual", "Rank", "Finish", "Laps", "Led", "Retired"], ["1939", "62", "27", "121.749", "24", "11", "200", "0", "Running"], ["1927", "27", "27", "107.765", "22", "3", "200", "0", "Running"], ["1937", "38", "7", "118.788", "16", "8", "200", "0", "Running"], ["1928", "8", "4", "11... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | Answer: | 128 |
Table InputTable: [["Games", "Athletes", "Gold", "Silver", "Bronze", "Total", "Rank"], ["2008 Beijing", "18", "4", "1", "2", "7", "32"], ["2012 London", "31", "3", "0", "3", "6", "37"], ["2004 Athens", "10", "2", "4", "0", "6", "42"], ["1992 Barcelona", "5", "0", "0", "0", "0", "–"], ["2000 Sydney", "7", "0", "0", "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:... | 13 | Answer: | 128 |
Table InputTable: [["Season", "Team", "Record", "Head Coach", "Quarterback", "Leading Rusher", "Leading Receiver", "All-Pros", "Runner Up"], ["2001", "St. Louis Rams", "14–2", "Mike Martz", "Kurt Warner", "Marshall Faulk*", "Torry Holt", "Faulk*, Pace, Warner, Williams*", "Philadelphia Eagles"], ["1980", "Philadelphia ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Wilbert Montgomery | Answer: | 128 |
Table InputTable: [["Hull", "Type", "Original Name", "Original Operator", "Delivery", "Disposition (2012)", "2nd name", "2nd operator", "3rd Name", "3rd operator"], ["№ 8", "929-117", "Beetle 2", "JR Kyushu Jet Ferries", "Feb 1991", "Active", "", "", "", ""], ["№ 5", "929-117", "Nagasaki", "JR Kyushu Jet Ferries", "Apr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cosmo Line | Answer: | 128 |
Table InputTable: [["Number", "Name", "Service", "From", "To"], ["24", "Lt Gen Russell C. Davis", "USAF", "August 4, 1998", "August 3, 2002"], ["22", "Lt Gen John B. Conaway", "USAF", "February 1, 1990", "December 1, 1993"], ["17", "Maj Gen Winston P. Wilson", "USAF", "August 31, 1963", "August 31, 1971"], ["26", "Gen ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | GEN Frank J. Grass | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "1.", "2 October 2011", "Malaysian Open, Malaysia", "Hard (i)", "Marcos Baghdatis", "6–4, 7–5"], ["Runner-up", "4.", "18 June 2011", "Aegon International, United Kingdom", "Grass", "Andreas Seppi", "6–7(5–7), 6–3, 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:... | 2 | Answer: | 128 |
Table InputTable: [["Rank", "Pair", "Name", "Country", "Time", "Time behind"], ["6", "4", "Chad Hedrick", "United States", "1:09.45", "+0.56"], ["", "20", "Joey Cheek", "United States", "1:09.16", "+0.27"], ["9", "18", "Casey FitzRandolph", "United States", "1:09.59", "+0.70"], ["", "19", "Shani Davis", "United States"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["California", "Dianne Feinstein", "Democratic", "Dianne Feinstein (D) 62.5%\\nElizabeth Emken (R) 37.5%", "1992 (spec... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2008", "Jiangsu Sainty", "China", "2", "24", "0"], ["2013", "Jiangsu Sainty", "China", "1", "11", "0"], ["2012", "Jiangsu Sainty", "China", "1", "0", "0"], ["2009", "Jiangsu Sainty", "China", "1", "15", "0"], ["2011", "Jiangsu Sainty", "Ch... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Song", "Album", "Position", "Chart"], ["1987", "\"Summergirls\"", "24/7", "50", "Billboard Hot 100"], ["1989", "\"24/7\"", "24/7", "12", "Hot R&B/Hip-Hop Songs"], ["1991", "\"Gentle\"", "Swingin'", "31", "Billboard Hot 100"], ["1989", "\"24/7\"", "24/7", "42", "Billboard Hot 100"], ["1989",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 24/7 | Answer: | 128 |
Table InputTable: [["Network name", "Flagship", "Programming type", "Owner", "Affiliates"], ["Galavisión", "XEQ 9", "retro programming and sports", "Televisa", "1"], ["Independent", "", "varies", "Independent", "3"], ["Canal 5", "XHGC 5", "cartoons, movies, and series", "Televisa", "4"], ["Azteca 13", "XHDF 13", "news,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 34 | Answer: | 128 |
Table InputTable: [["Date", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["October 4", "Club Brugge", "UEFA Cup", "Round 1", "Leg 2, Home", "Brann", "Jan Breydel Stadium, Bruges", "1-2"], ["August 16", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 1, Away", "Käerjeng", "Stade Josy Bart... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Representative", "Title", "Presentation\\nof Credentials", "Termination\\nof Mission", "Appointed by"], ["James A. Daley", "Ambassador Extraordinary and Plenipotentiary", "October 17, 2000", "March 1, 2001", "Bill Clinton"], ["Jeanette W. Hyde", "Ambassador Extraordinary and Plenipotentiary", "Apri... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ollie P. Anderson, Jr. | 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:... | 3 | Answer: | 128 |
Table InputTable: [["Year", "Title", "Chart positions\\nAU", "Chart positions\\nCA", "Chart positions\\nIE", "Chart positions\\nNL", "Chart positions\\nNZ", "Chart positions\\nUK", "Chart positions\\nUS\\nHot 100", "Chart positions\\nUS\\nAirplay", "Chart positions\\nUS\\nAlternative"], ["1997", "\"All I Really Want\""... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Name", "Nationality", "Time", "Notes", "Points"], ["12", "Milan Kocourek", "Czech Republic", "1:59.28", "", "1"], ["1", "Adam Kszczot", "Poland", "1:46.50", "", "12"], ["8", "Robin Schembera", "Germany", "1:47.79", "", "5"], ["10", "Antonio Manuel Reina", "Spain", "1:48.56", "", "3"], ["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:... | Poland | Answer: | 128 |
Table InputTable: [["Year", "Title", "Rol", "Format", "Related Links"], ["2006", "La Vida Inmune", "Malhora", "Feature Film", "https://www.youtube.com/watch?v=PQt4RU3usnw"], ["2007", "La Zona", "Alejandro", "Feature Film", "https://www.youtube.com/watch?v=W5SzXJe-NMk"], ["2008", "La Carretera Es Blanca Y Llana", "Peru"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yo Te Estaré Cuidando | Answer: | 128 |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Tomislav Kostadinov", "0", "0", "1", "1"], ["Pavel Vidanov", "0", "0", "1", "1"], ["Christian Tiboni", "0", "0", "1", "1"], ["Emil Gargorov", "2", "0", "0", "2"], ["Kostadin Stoyanov", "1", "0", "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:... | Spas Delev | Answer: | 128 |
Table InputTable: [["Rank", "Mountain Peak", "Nation", "Province", "Elevation", "Prominence", "Isolation"], ["7", "Volcán Irazú PB", "Costa Rica", "Cartago\\nSan José", "3402 m\\n11,161 ft", "1872 m\\n6,142 ft", "48 km\\n30 mi"], ["4", "Cerro las Minas PB", "Honduras", "Lempira", "2849 m\\n9,347 ft", "2069 m\\n6,788 ft... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 553 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "India", "0", "0", "1", "1"], ["1", "Malaysia", "3", "0", "1", "4"], ["9", "Spain", "0", "0", "1", "1"], ["2", "Indonesia", "1", "3", "2", "6"], ["6", "Denmark", "0", "1", "0", "1"], ["4", "Thailand", "1", "0", "0", "1"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Nationality", "Time", "Notes", "Points"], ["9", "Ivan Tukhtachev", "Russia", "1:48.27", "SB", "4"], ["1", "Adam Kszczot", "Poland", "1:46.50", "", "12"], ["8", "Robin Schembera", "Germany", "1:47.79", "", "5"], ["5", "Anis Ananenka", "Belarus", "1:47.29", "", "8"], ["12", "Milan Koc... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Antonio Manuel Reina | Answer: | 128 |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["6", "Supercheap Auto Bathurst 1000", "Mount Panorama Circuit", "Bathurst, New South Wales", "8-11 Oct", "Jonathon Webb"], ["4", "Norton 360 Sandown Challenge", "Sandown Raceway", "Melbourne, Victoria", "31 Jul-Aug 2", "David Russell"], ["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:... | Ipswich, Queensland | Answer: | 128 |
Table InputTable: [["Location", "Reactor type", "Status", "Net\\nCapacity\\n(MWe)", "Gross\\nCapacity\\n(MWe)"], ["Chernobyl-2", "RBMK-1000", "shut down in 1991", "925", "1,000"], ["Chernobyl-3", "RBMK-1000", "shut down in 2000", "925", "1,000"], ["Kursk-2", "RBMK-1000", "operational until 2024", "925", "1,000"]] | 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:... | 1 | Answer: | 128 |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["3", "Dunlop Townsville 400", "Townsville Street Circuit", "Townsville, Queensland", "10-12 Jul", "James Moffat"], ["6", "Supercheap Auto Bathurst 1000", "Mount Panorama Circuit", "Bathurst, New South Wales", "8-11 Oct", "Jonathon Webb"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sydney, New South Wales | Answer: | 128 |
Table InputTable: [["Rank", "Diver", "Nationality", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints", "Final\\nRank"], ["27", "Marion Farissier", "France", "221.65", "27", "", ""], ["12", "Anastasia Pozdniakova", "Russia", "260.00", "8", "251.70", "12"], ["22", "Arantxa Chavez", "Mexico", "232.35", "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:... | Hsu Shi-Han | 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:... | Atarque | Answer: | 128 |
Table InputTable: [["Rank", "Mountain Peak", "Nation", "Province", "Elevation", "Prominence", "Isolation"], ["8", "Montañas Peña Blanca High Point PB", "Guatemala", "Huehuetenango", "3518 m\\n11,542 ft", "1858 m\\n6,096 ft", "42 km\\n26 mi"], ["9", "Volcán Acatenango PB", "Guatemala", "Chimaltenango\\nSacatepéquez", "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:... | 6 | Answer: | 128 |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7CAE", "Hobart", "092.1", "FM", "Changed call to 7THE ca. 1980", "7THE", "Community"], ["7ZL", "Hobart", "0603", "AM", "Changed call to 7RN in 1991", "7RN", "National"], ["7QT", "Queenstown", "0837", "AM", "Chang... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Record", "Finish", "Manager", "Playoffs"], ["1975", "88-56", "1st", "Roy Hartsfield", "League Champs"], ["1984", "87-53", "1st", "Tommy Sandt", "Lost League Finals"], ["1985", "84-59", "1st", "Tommy Sandt", "Lost in 1st round"], ["1977", "79-67", "2nd", "Dick Phillips", "Lost League Finals"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Roy Hartsfield | Answer: | 128 |
Table InputTable: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Jerome B. Libin", "1959", "1960", "Michigan (1959)", "none"], ["Heywood H. Davis", "1958", "1959", "Kansas (1958)", "none"], ["Kenneth W. Dam", "1957", "1958", "Chicago (1957)", "none"], ["William C. Canby, Jr.", "1958", "1959... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Jamaica", "2005", "3", "4207", "The three vessels which form the County-class are HMJS Surrey, HMJS Cornwall and HMJS Middlesex. They were built in the Netherlands, and the last vessel was delivered in December 2006."], ["Qatar", "2014", "6", "5009",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Number", "Name", "Service", "From", "To"], ["(Acting)", "COL Ernest R. Redmond", "USA", "June 29, 1929", "September 30, 1929"], ["10", "MG Albert H. Blanding", "USA", "January 31, 1936", "January 30, 1940"], ["2", "BG Robert K. Evans", "USA", "March 15, 1911", "August 31, 1912"], ["3", "MG Albert L... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Creed C. Hammond | Answer: | 128 |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2009", "Queensland", "", "Alkupitja", "Tangentyere", "New South Wales"], ["2012", "Queensland", "New South Wales", "", "", ""], ["2005", "Queensland", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Route Number", "Route", "Via", "Operator", "Operation"], ["66", "Leytonstone Station to Romford Station", "Wanstead , Redbridge , Gants Hill , Newbury Park", "Arriva London", "Daily. London Buses service. Times"], ["W12", "Walthamstow Coppermill Lane to Wanstead Station", "Walthamstow Central , Whi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 |
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