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: [["Team 1", "Agg.", "Team 2", "1st leg", "2nd leg"], ["Duurly's", "0 - 8", "C.D. Luis Ángel Firpo", "0 - 4", "0 - 4"], ["Tauro F.C.", "5 - 0", "América Managua", "5 - 0", "0 - 0"], ["Deportivo Saprissa", "8 - 2", "Real Estelí", "4 - 1", "4 - 1"], ["CSD Municipal", "3 - 6", "Alianza F.C.", "2 - 5", "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:... | L.D. Alajuelense | 128 | Answer: |
Table InputTable: [["Tournament", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "W–L"], ["Win–Loss", "0–1", "0–1", "0–1", "3–4", "0–3", "4–4", "1–4", "0–1", "8–19"], ["Titles–Finals", "0–0", "0–0", "0–0", "0–0", "0–0", "0–1", "0–0", "", "0–1"], ["Year-End Ranking", "139", "325", "82", "89", "112", "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:... | 5 | 128 | Answer: |
Table InputTable: [["Rank", "Heat", "Name", "Nationality", "Time", "Notes"], ["7", "4", "Bona Kong", "Cambodia", "11.75", "PB"], ["7", "2", "Tang Yui Han", "Singapore", "11.61", "PB"], ["4", "4", "Chiang Wai Hung", "Malaysia", "10.89", ""], ["5", "1", "Suminda Mendis", "Sri Lanka", "10.82", "q, PB"], ["5", "3", "To Wai... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 32 | 128 | Answer: |
Table InputTable: [["Chart Year", "Artist", "Album", "Song", "Billboard Hot 100", "Billboard Hot R&B/Hip Hop", ""], ["2010", "Rihanna", "Loud", "Skin", "", "", ""], ["2010", "Rihanna", "Rated R", "Rockstar 101", "76", "", ""], ["2010", "Usher", "Raymond v. Raymond", "Lil Freak", "40", "8", ""], ["2010", "Justin Bieber"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 14 | 128 | Answer: |
Table InputTable: [["Season", "Tier", "League", "Pos.", "Postseason", "German Cup", "European competitions"], ["2006–07", "1", "Bundesliga", "1", "Champion", "–", "2 Played ULEB Cup"], ["2002–03", "1", "Bundesliga", "2", "Finalist", "–", "–"], ["1996–97", "1", "Bundesliga", "3", "Semifinalist", "Semifinalist", "3 Playe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Release date", "Album Title", "Record Company", "Song Title", "Certification"], ["June 2011", "Bida Best Hits Da Best", "Star Records", "\"Mahal Kita Kasi\", \"Catch Me I'm Falling\", \"You Are The One\" with Sam Milby", "PARI:"], ["October 8, 2006", "Hotsilog: The ASAP Hotdog Compilation", "ASAP 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:... | Hotsilog: The ASAP Hotdog Compilation | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["1993 to 1994", "Thea", "Jerome Turrell", "19 episodes"], ["2006", "ATL", "Teddy", ""], ["1997 to 1999", "Smart Guy", "Marcus Henderson", "51 episodes"], ["1992", "The Jacksons: An American Dream", "Michael Jackson (aged 9–14)", "Miniseries"], ["2008", "Jada", "Ja... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Political lieutenant", "District\\n(Area)", "Took Office", "Left Office", "Party leader"], ["Benoît Bouchard", "Roberval\\n(Saguenay-Lac-Saint-Jean)", "1990", "1993", "Brian Mulroney"], ["Lucien Bouchard", "Lac-Saint-Jean\\n(Saguenay-Lac-Saint-Jean)", "1988", "1990", "Brian Mulroney"], ["André Bach... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["21", "South Korea", "0", "0", "1", "1"], ["10", "Yugoslavia", "3", "1", "1", "5"], ["1", "Soviet Union", "26", "17", "15", "58"], ["17", "Czechoslovakia", "0", "1", "0", "1"], ["15", "Romania", "0", "4", "2", "6"], ["12", "Bulgaria", "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:... | Soviet Union | 128 | Answer: |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Jose Menendez", "D", "San Antonio", "124"], ["Trey Martinez Fischer", "D", "San Antonio", "116"], ["Roland Gutierrez", "D", "San Antonio", "119"], ["Philip Cortez", "D", "San Antonio", "117"], ["Lyle Larson", "R", "San Antonio", "122"], ["J... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Trey Martinez Fischer | 128 | Answer: |
Table InputTable: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Ivan Demidov\\n39.the TV presenter", "Barracudas", "Pelicans", "Crocodiles", "Eliminated\\n2nd Jury Member\\nDay 23", "3"], ["Aleksandr Lykov\\n41.the actor", "Barracudas", "Barracudas", "Crocodiles", "13th... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yelena Proklova 49.the TV presenter | 128 | Answer: |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["19 Aug 1950", "Nottingham Forest", "H", "0–2", "", "16,595"], ["11 Nov 1950", "Southend United", "A", "0–3", "", "9,882"], ["23 Sep 1950", "Bristol Rovers", "A", "0–1", "", "19,816"], ["7 Sep 1950", "Watford", "A", "2–0", "Parker, 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:... | 1 | 128 | Answer: |
Table InputTable: [["Date", "Location", "Air/Ground", "Number", "Type", "Status"], ["25 January 1952", "Korea", "Air", "1", "Mig-15", "Damaged"], ["13 April 1944", "West of Mannheim, Germany", "Air", "1", "FW-190", "Destroyed"], ["24 April 1944", "South of Munich, Germany", "Air", "3", "Me-110", "Destroyed"], ["13 Sept... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 January 1952 | 128 | Answer: |
Table InputTable: [["name", "glyph", "C string", "Unicode", "Unicode name"], ["g", "g", "g", "U+0067", "LATIN SMALL LETTER G"], ["G", "G", "G", "U+0047", "LATIN CAPITAL LETTER G"], ["h", "h", "h", "U+0068", "LATIN SMALL LETTER H"], ["p", "p", "p", "U+0070", "LATIN SMALL LETTER P"], ["H", "H", "H", "U+0048", "LATIN CAPI... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | NUL | 128 | Answer: |
Table InputTable: [["Series #", "Season #", "Title", "Notes", "Original air date"], ["1", "1", "\"The Charity\"", "Alfie, Dee Dee, and Melanie are supposed to be helping their parents at a carnival by working the dunking booth. When Goo arrives and announces their favorite basketball player, Kendall Gill, is at the Com... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "The Charity" | 128 | Answer: |
Table InputTable: [["May 20-21\\n118", "March 9\\n120", "December 25-26\\n122", "October 13-14\\n124", "August 1-2\\n126"], ["May 20, 2012", "March 9, 2016", "December 26, 2019", "October 14, 2023", "August 2, 2027"], ["May 20, 2050", "March 9, 2054", "December 26, 2057", "October 13, 2061", "August 2, 2065"], ["May 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:... | 2054 | 128 | Answer: |
Table InputTable: [["Name", "Nation", "Position", "League Apps", "League Goals", "FA Cup Apps", "FA Cup Goals", "Total Apps", "Total Goals"], ["John Battye", "England", "DF", "22", "0", "0", "0", "22", "0"], ["Bill Whittaker", "England", "DF", "16", "0", "0", "0", "16", "0"], ["Bill Hayes", "Republic of Ireland", "DF",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | 128 | Answer: |
Table InputTable: [["Name", "Route number(s)", "Length (mi)", "Location", "Notes"], ["American Legion Highway", "*", "", "Westport", "Runs through Tiverton, Rhode Island; Fall River, Massachusetts; Westport, Massachusetts"], ["Wilbur Cross Highway", "*", "8.0", "Sturbridge", "I-84 in Massachusetts is designated the Wil... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 177 | 128 | Answer: |
Table InputTable: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["20", "Peter Lamppu", "United States", "Montesa", "309", "0"], ["15", "Brad Lackey", "United States", "ČZ", "603", "0"], ["14", "Mark Blackwell", "United States", "Husqvarna", "604", "0"], ["12", "Andy Roberton", "United Kingdom", "Husqvarna",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sylvain Geboers | 128 | Answer: |
Table InputTable: [["Season", "Series", "Team", "Races", "Wins", "Poles", "F/Laps", "Podiums", "Points", "Position"], ["2010", "ATS Formel 3 Cup", "China Sonangol", "5", "0", "0", "0", "0", "0", "19th"], ["2012", "Masters of Formula 3", "Angola Racing Team", "1", "0", "0", "0", "0", "—", "18th"], ["2012", "Formula 3 Eu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Date", "Location", "Opponent", "Result", "Competition"], ["March 20, 2013", "Muscat, Oman", "Oman", "0–3", "F"], ["June 11, 2013", "Rio de Janeiro, Brazil", "Italy", "2–2", "F"], ["July 8, 2013", "Harrison, United States", "Honduras", "0–2", "GC"], ["January 19, 2013", "Concepción, Chile", "Chile",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2", "Indonesia", "1", "3", "2", "6"], ["1", "Malaysia", "3", "0", "1", "4"], ["7", "Japan", "0", "0", "2", "2"], ["3", "Korea", "1", "1", "2", "4"], ["8", "India", "0", "0", "1", "1"], ["4", "Thailand", "1", "0", "0", "1"], ["5", "Chinese Tai... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | 128 | Answer: |
Table InputTable: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["2002", "212", "13", "12.2", "21.3"], ["1997", "141", "", "", ""], ["1996", "130", "", "", ""], ["1998", "153", "14", "", ""], ["1994", "154", "", "", ""], ["2001", "255", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 212 | 128 | Answer: |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Scot Bennett", "5", "0", "0", "0", "5"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["Danny Coles", "3", "0", "0", "0", "3"], ["Arron Davies", "3", "0", "0", "0", "3"], ["OWN GOALS", "0", "0", "0", "0", "0"], ["Jamie Cureton", "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:... | above | 128 | Answer: |
Table InputTable: [["Frequency", "Call sign", "Name", "Format", "Owner", "Target city/market", "City of license"], ["93.1 FM", "KKYA", "KK93", "Country", "Riverfront Broadcasting LLC", "Yankton/Vermillion", "Yankton"], ["106.3 FM", "KVHT", "Classic Hits 106.3", "Classic Hits", "Cullhane Communications, Inc.", "Yankton/... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | WNAX-FM | 128 | Answer: |
Table InputTable: [["Series", "Premiere", "Finale", "Winner", "Runner-up", "Third place", "Host(s)", "Judging panel", "Guest judge(s)"], ["Three", "11 April 2009", "30 May 2009", "Diversity", "Susan Boyle", "Julian Smith", "Ant & Dec", "Simon Cowell\\nAmanda Holden\\nPiers Morgan", "Kelly Brook"], ["One", "9 June 2007"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Louis Walsh | 128 | Answer: |
Table InputTable: [["Match Day", "Date", "Opponent", "H/A", "Score", "Aberdeen Scorer(s)", "Attendance"], ["5", "12 September", "Ayr United", "A", "0–1", "", "2,000"], ["24", "9 January", "Ayr United", "H", "1–1", "Cail", "4,500"], ["34", "20 March", "Airdrieonians", "H", "3–0", "Brewster, Cail, Main", "5,500"], ["32",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Clyde | 128 | Answer: |
Table InputTable: [["Match no.", "Match Type", "Team Europe", "Score", "Team USA", "Progressive Total"], ["28", "Singles", "Tore Torgersen", "206 - 275", "Doug Kent", "15 - 13"], ["31", "Singles", "Tore Torgersen", "202 - 264", "Chris Barnes", "15 - 16"], ["25", "Singles", "Mika Koivuniemi", "217 - 279", "Chris Barnes"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | 128 | Answer: |
Table InputTable: [["Representative", "Years", "State", "Party", "Lifespan"], ["John A. Kasson", "1863–1867\\n1873–1877\\n1881–1884", "Iowa", "Republican", "1822–1910"], ["Bob Kasten", "1975–1979", "Wisconsin", "Republican", "1942–"], ["John Kean", "1883–1885\\n1887–1889", "New Jersey", "Republican", "1852–1914"], ["An... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Team", "No", "Driver", "Class", "Rounds"], ["Fortec Motorsport", "26", "Christof von Grünigen", "", "All"], ["Fortec Motorsport", "24", "Jack Harvey", "", "All"], ["Fortec Motorsport", "25", "George Katsinis", "", "All"], ["Mücke Motorsport", "8", "Timmy Hansen", "", "All"], ["Mücke Motorsport", "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:... | DAMS | 128 | Answer: |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["OWN GOALS", "0", "0", "0", "0", "0"], ["Jamie Cureton", "20", "0", "0", "0", "20"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["Scot Bennett", "5", "0", "0", "0", "5"], ["Guillem Bauza", "2", "0", "0", "0", "2"], ["Danny Coles", "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:... | Jamie Cureton | 128 | Answer: |
Table InputTable: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Alan C. Kohn", "1957", "1958", "Wash U (1955)", "none"], ["D. Lawrence Gunnels", "1961", "1962", "Wash U (1960)", "none"], ["William C. Canby, Jr.", "1958", "1959", "Minnesota (1956)", "none"], ["Patrick F. McCartan", "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:... | Wash U | 128 | Answer: |
Table InputTable: [["Year", "Film", "Rotten Tomatoes", "Metacritic", "IMDb"], ["2000", "Dancer in the Dark", "68%", "61%", "8.0/10"], ["1998", "The Idiots", "70%", "47%", "6.9/10"], ["1996", "Breaking the Waves", "86%", "76%", "7.9/10"], ["1987", "Epidemic", "33%", "66%", "6.1/10"], ["2006", "The Boss of It All", "74%"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Character", "Real name", "Home world", "Membership notes", "Powers"], ["Chameleon Girl", "Yera Allon", "Durla", "Pre-Crisis version first appeared (impersonating Shrinking Violet) in Legion of Super-Heroes vol. 2, #286 (April 1982).\\nTrue form and identity revealed in Legion of Super-Heroes vol. 2... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Year", "Wins (majors)", "Earnings ($)", "Rank"], ["1986", "0", "113,245", "77"], ["2009", "0", "1,622,401", "52"], ["2008", "1", "1,695,237", "48"], ["2005", "0", "2,658,779", "13"], ["1987", "1", "297,378", "33"], ["2004", "0", "3,075,092", "10"], ["2002", "0", "2,056,160", "21"], ["2001", "1", "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:... | 2003 | 128 | Answer: |
Table InputTable: [["Rnd", "Circuit", "GTP Winning Team\\nGTP Winning Drivers", "GTO Winning Team\\nGTO Winning Drivers", "GTU Winning Team\\nGTU Winning Drivers", "Results"], ["12", "Sears Point", "Bill Whittington", "John Bauer", "Dennis Aase", "Results"], ["7", "Charlotte", "#56 Blue Thunder Racing", "#4 Stratagraph... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Daytona | 128 | Answer: |
Table InputTable: [["Match no.", "Match Type", "Team Europe", "Score", "Team USA", "Progressive Total"], ["25", "Singles", "Mika Koivuniemi", "217 - 279", "Chris Barnes", "14 - 11"], ["32", "Singles", "Osku Palermaa", "196 - 235", "Tommy Jones", "15 - 17"], ["31", "Singles", "Tore Torgersen", "202 - 264", "Chris Barnes... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Team Record\\nW", "Team Record\\nL", "Playoffs"], ["2005", "3", "5", "Did Not Make Playoffs"], ["2009", "5", "5", "Did Not Make Playoffs"], ["2010", "5", "5", "Did Not Make Playoffs"], ["2008", "7", "4", "2nd Qualifier, Region 2"], ["2004", "7", "2", "2nd Qualifier, Region 2"], ["2006", "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:... | 2008 | 128 | Answer: |
Table InputTable: [["Route Number", "Route", "Via", "Operator", "Operation"], ["167", "Debden to Ilford Hainault Street", "Loughton , Barkingside, Gants Hill", "Blue Triangle", "Daily. London Buses service. Times"], ["247", "Barkingside Station to Romford Station", "Hainault , Collier Row", "Stagecoach London", "Daily.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 27 | 128 | Answer: |
Table InputTable: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["William C. Canby, Jr.", "1958", "1959", "Minnesota (1956)", "none"], ["Kenneth W. Dam", "1957", "1958", "Chicago (1957)", "none"], ["Jerome B. Libin", "1959", "1960", "Michigan (1959)", "none"], ["Heywood H. Davis", "1958", "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:... | Kenneth W. Dam | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-B-4", "2008..", "[[]]", "[[]]", "-"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-5", "2008..", "[[]]", "[[]]", "-"], ["GL-B-6", "2008..", "[[]]", "[[]]",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | GL-B-3 | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["13", "Jochen Schmid", "Yamaha", "+47.065", "3"], ["4", "Max Biaggi", "Honda", "+2.346", "13"], ["10", "Luis d'Antin", "Honda", "+25.044", "6"], ["3", "Helmut Bradl", "Honda", "+0.384", "16"], ["6", "Tetsuya Harada", "Yamaha", "+2.537", "10"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["1998", "4", "USISL PDSL", "4th, Central", "Division Finals", "1st Round"], ["2004", "4", "USL PDL", "6th, Heartland", "Did not qualify", "Did not qualify"], ["2012", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did 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:... | 1998 | 128 | Answer: |
Table InputTable: [["Year", "Single", "Chart Positions\\nUS Country", "Chart Positions\\nUS", "Album"], ["1968", "\"Odd Folks of Okracoke\"", "—", "—", "single only"], ["1965", "\"That Ain't All\"", "20", "—", "singles only"], ["1957", "\"Sittin' in the Balcony\"", "—", "38", "single only"], ["1962", "\"Thou Shalt Not ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Language of Love" | 128 | Answer: |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["19", "Chris Donnelly", "", "", "", "12", "-", "-", "-", "12"], ["22", "Shane Eklund", "", "", "", "10", "-", "-", "-", "10"], ["", "Paul Barrett", "", "", "", "-", "-", "-", "12", "12"], ["7", "Mike Imrie", "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 | 128 | Answer: |
Table InputTable: [["Band", "Disc/Song", "Released", "Disc Description", "Disk Size", "Image"], ["Guns N' Roses", "Sweet Child o' Mine", "1988", "Shape of the classic logo of the cross and skulls of the five band members", "7\"", ""], ["Guns N' Roses", "Paradise City", "1989", "Shape of a Colt \"Peacemaker\"", "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:... | 7" | 128 | Answer: |
Table InputTable: [["Name", "City", "State/Country", "Designed", "Completed", "Other Information"], ["Hvitträsk Studio and Home", "Kirkkonummi", "Finland", "1929", "1937", "Remodel"], ["J. F. Spencer House", "Huntington Woods", "Michigan", "1937", "1938", "First building designed independently"], ["Case Study House #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:... | Swedish Theatre | 128 | Answer: |
Table InputTable: [["Week", "Date", "Result", "Record", "Opponent", "Points For", "Points Against", "First Downs", "Attendance"], ["10", "November 20", "Loss", "8–2", "at Pittsburgh Steelers", "13", "28", "20", "49,761"], ["14", "December 18", "Win", "12–2", "Denver Broncos", "14", "6", "15", "63,752"], ["3", "October ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Detroit Lions | 128 | Answer: |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["1995", "11 Dec 1994", "Tignes, France", "Super G", "2nd"], ["1994", "29 Dec 1993", "Bormio, Italy", "Downhill", "3rd"], ["1994", "12 Mar 1994", "Whistler, BC, Canada", "Downhill", "3rd"], ["1994", "16 Mar 1994", "Vail, CO, USA", "Downhill", "3r... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Vail, CO, USA | 128 | Answer: |
Table InputTable: [["#", "Name", "Took office", "Left office", "Party", "Governor", "Notes"], ["50", "Sue Ellspermann", "January 14, 2013", "Incumbent", "Republican", "Mike Pence", ""], ["48", "Kathy Davis", "October 20, 2003", "January 10, 2005", "Democrat", "Joe E. Kernan", ""], ["49", "Becky Skillman", "January 10, ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sue Ellspermann | 128 | Answer: |
Table InputTable: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["3", "Air Commodore K. M. Ahmad", "1979", "1980", "Pakistan Air Force Academy", "Flight Instructor", "Certificated Flight Instructor (CFI)"], ["2", "Air Commodore Dr Władysław Turowicz", "1967", "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:... | Air Commodore K. M. Ahmad | 128 | Answer: |
Table InputTable: [["Season", "Series", "Team", "Races", "Wins", "Poles", "F/Laps", "Podiums", "Points", "Position"], ["2008", "Asian Formula Renault Challenge", "Champ Motorsports", "13", "0", "0", "0", "3", "193", "4th"], ["2007", "Asian Formula Renault Challenge", "Champ Motorsports", "12", "0", "0", "0", "1", "64",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Tier", "Division", "Place"], ["1988/89", "4", "3ª", "3rd"], ["1992/93", "3", "2ªB", "4th"], ["1996/97", "4", "3ª", "2nd"], ["1997/98", "4", "3ª", "1st"], ["1989/90", "4", "3ª", "1st"], ["1991/92", "3", "2ªB", "12th"], ["1998/99", "4", "3ª", "6th"], ["1993/94", "3", "2ªB", "15th"], ["1995/... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Town name", "County", "Established", "Disestablished", "Current Status", "Remarks"], ["Dermot", "Stevens County", "1887", "Post office closed in 1929", "Nothing remains of the townsite.", "The town was short-lived but the post office existed decades longer than the actual town."], ["Votaw", "Montgo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Irving | 128 | Answer: |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["Arizona", "Jeff Flake", "Republican", "Jeff Flake (R) 49.2%\\nRichard Carmona (D) 46.1%\\nMarc Victor (L) 4.6%", "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:... | 2012 | 128 | Answer: |
Table InputTable: [["Series #", "Season #", "Title", "Notes", "Original air date"], ["6", "1", "\"Where's the Snake?\"", "Dee Dee gets a snake, but he doesn't want his parents to know about it. However, things get complicated when he loses the snake in the house. Meanwhile, Melanie and Deonne are assigned by their teac... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | 128 | Answer: |
Table InputTable: [["Stage", "Date", "Route", "Terrain", "Length", "Winner", "Race leader"], ["5", "4 July", "Vannes – Les Sables d'Olonne", "Plain stage", "202 km (126 mi)", "Charles Pélissier (FRA)", "Charles Pélissier (FRA)\\n Rafaele di Paco (ITA)"], ["2", "1 July", "Caen – Dinan", "Plain stage", "212 km (132 mi)",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2011", "All-Africa Games", "Maputo, Mozambique", "12th (h)", "800 m", "2:06.72"], ["2007", "All-Africa Games", "Algiers, Algeria", "1st", "800 m", "2:02.83"], ["2003", "All-Africa Games", "Abuja, Nigeria", "11th (h)", "800 m", "2:05.19... | 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:... | Commonwealth Games | 128 | Answer: |
Table InputTable: [["", "Name on the Register", "Date listed", "Location", "City or town", "Summary"], ["20", "Public Market", "March 7, 1985\\n(#85000541)", "93 Washington St.\\n43°11′43″N 70°52′31″W / 43.195278°N 70.875278°W", "Dover", ""], ["25", "Rollinsford Town Hall", "March 5, 1999\\n(#99000268)", "667 Main 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:... | 9 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Germany (EUA)", "1", "0", "1", "2"], ["7", "France (FRA)", "0", "0", "1", "1"], ["7", "Great Britain (GBR)", "0", "0", "1", "1"], ["5", "Switzerland (SUI)", "0", "2", "1", "3"], ["4", "Soviet Union (URS)", "1", "0", "0", "1"], ["2", "Ita... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 (ITA) | 128 | Answer: |
Table InputTable: [["Year", "Winner", "Age", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Purse", "Gr"], ["1989", "Mercedes Won", "3", "Earlie Fires", "Arnold Fink", "Christopher Spencer", "1-1/8", "1:49.60", "$500,000", "I"], ["1999", "Vicar", "3", "Shane Sellers", "Carl Nafzger", "James B. Tafel", "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:... | 64 | 128 | Answer: |
Table InputTable: [["Naturalisations by origin", "2000", "2005", "2009", "% Total 2009"], ["Sub-Saharan Africa", "10 622", "15 624", "22 214", "16.4"], ["Maghreb", "68 185", "75 224", "56 024", "41.2"], ["Africa", "84 182", "98 453", "85 144", "62.7"], ["Other Africa", "5 375", "7 605", "6 906", "5.1"], ["South Asia", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 24.8 | 128 | Answer: |
Table InputTable: [["Chord", "Root", "Minor Third", "Perfect Fifth", "Major Seventh"], ["EmM7", "E", "G", "B", "D♯"], ["CmM7", "C", "E♭", "G", "B"], ["FmM7", "F", "A♭", "C", "E"], ["AmM7", "A", "C", "E", "G♯"], ["GmM7", "G", "B♭", "D", "F♯"], ["E♭mM7", "E♭", "G♭", "B♭", "D"], ["BmM7", "B", "D", "F♯", "A♯"], ["DmM7", "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:... | FmM7 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["12", "Bulgaria", "1", "1", "1", "3"], ["15", "Romania", "0", "4", "2", "6"], ["10", "Yugoslavia", "3", "1", "1", "5"], ["1", "Soviet Union", "26", "17", "15", "58"], ["17", "Greece", "0", "1", "0", "1"], ["17", "Czechoslovakia", "0", "1", "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:... | 11 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time"], ["8", "Edith Arraspide", "Argentina", "5:13.95"], ["7", "Carolyn Adel", "Suriname", "5:13.24"], ["6", "Isabel Rojas", "Colombia", "5:11.58"], ["", "Jenny Kurth", "United States", "4:57.24"], ["", "Joanne Malar", "Canada", "4:43.64"], ["", "Alison Fealey", "Uni... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 30.31 | 128 | Answer: |
Table InputTable: [["Team", "City", "Venue", "Capacity", "Head Coach", "Team Captain", "Past Season"], ["Persepolis", "Tehran", "Azadi", "90,000", "Nelo Vingada", "Karim Bagheri", "Champion"], ["Esteghlal", "Tehran", "Azadi", "90,000", "Amir Ghalenoei", "Farhad Majidi", "13th"], ["Paykan", "Qazvin", "Shahid Rajaei", "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:... | Azadi | 128 | Answer: |
Table InputTable: [["Year", "Single", "Chart Positions\\nUS Country", "Chart Positions\\nUS", "Album"], ["1963", "\"Bad News\" (b/w \"Guitar Player(Her and Him)\")", "23", "—", "singles only"], ["1965", "\"That Ain't All\"", "20", "—", "singles only"], ["1967", "\"It's My Time\"", "51", "—", "Suburban Attitudes in Coun... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Episode", "Air date", "Rating", "Share", "18-49 (Rating/Share)", "Viewers (m)", "Rank (night)", "Rank (timeslot)", "Rank (overall)"], ["2", "\"Train In Vain\"", "October 19, 2007", "6.5", "12", "2.0/6", "9.69", "#2", "#1", "#37"], ["7", "\"The Past Comes Back to Haunt You\"", "November 16, 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:... | 9 | 128 | Answer: |
Table InputTable: [["Character", "Real name", "Home world", "Membership notes", "Powers"], ["Chameleon Girl", "Yera Allon", "Durla", "Pre-Crisis version first appeared (impersonating Shrinking Violet) in Legion of Super-Heroes vol. 2, #286 (April 1982).\\nTrue form and identity revealed in Legion of Super-Heroes vol. 2... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Karate Kid II | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2002", "World Junior Championships", "Kingston, Jamaica", "2nd", "63.91 m"], ["2002", "European Championships", "Munich, Germany", "26th", "60.28 m"], ["2006", "European Championships", "Gothenburg, Sweden", "26th", "62.39 m"], ["2001", "World ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2006 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["Total", "Total", "16", "16", "30", "62"], ["9", "Uruguay", "0", "0", "1", "1"], ["5", "Argentina", "1", "2", "5", "8"], ["1", "Brazil", "7", "5", "3", "15"], ["9", "Netherlands Antilles", "0", "0", "1", "1"], ["4", "Chile", "2", "0", "2", "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:... | above | 128 | Answer: |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Total", "53", "11", "14", "78"], ["Christian Tiboni", "0", "0", "1", "1"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Tomislav Kostadinov", "0", "0", "1", "1"], ["Michel Platini", "10", "0", "0", "10"], ["Giuseppe Aquaro", "3", "0", "2", "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:... | 12 | 128 | Answer: |
Table InputTable: [["Date", "Date", "", "Rank", "Tournament name", "Venue", "City", "Winner", "Runner-up", "Score"], ["09–24", "09–29", "SCO", "", "Scottish Masters", "Civic Centre", "Motherwell", "Peter Ebdon", "Alan McManus", "9–6"], ["05–??", "05–??", "WAL", "", "Pontins Professional", "Pontins", "Prestatyn", "Marti... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 17 | 128 | Answer: |
Table InputTable: [["No. in\\nseason", "No. in\\nseries", "Title", "Canadian airdate", "US airdate", "Production code"], ["13", "330", "\"Who Do You Think You Are\"", "October 31, 2013", "October 31, 2013", "1313"], ["9", "326", "\"This Is How We Do It\"", "October 3, 2013", "October 3, 2013", "1309"], ["12", "329", "\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints"], ["23", "Angela Ribeiro (BRA)", "370.68", "23", ""], ["", "Christina Seufert (USA)", "481.41", "5", "517.62"], ["11", "Anita Rossing (SWE)", "464.58", "7", "424.98"], ["18", "Valerie McFarland-Beddoe (AUS)", "401.13", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Name", "City", "State/Country", "Designed", "Completed", "Other Information"], ["Eero Saarinen House", "Bloomfield Hills", "Michigan", "1947", "1959", "Renovation of a Victorian house"], ["Loja Saarinen House", "Bloomfield Hills", "Michigan", "1950", "1950", "House for Saarinen's widowed mother"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Common name", "Binomial nomenclature", "Colour", "Density ¹", "Location", "Characteristics, Usage and Status"], ["Deodar", "Cedrus deodara", "Yellowish brown", "560 kg/m³", "Himalayas, Punjab, Uttar Pradesh", "Deodar is the most important timber tree providing soft wood. It can be easily worked and... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tamarind | 128 | Answer: |
Table InputTable: [["Rank", "Athlete", "Nationality", "2.15", "2.20", "2.24", "2.27", "Result", "Notes"], ["16.", "Adam Shunk", "United States", "o", "xxx", "", "2.15", "", ""], ["10.", "Tora Harris", "United States", "o", "o", "xo", "xxx", "2.24", ""], ["10.", "Nicola Ciotti", "Italy", "o", "o", "xo", "xxx", "2.24", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Roman Fricke | 128 | Answer: |
Table InputTable: [["Result", "Record", "Opponent", "Method", "Date", "Round", "Location"], ["Exch", "16-0-0", "\"Irish\" Tommy Mitchell", "KO", "1933 May 21", "1", "Cambridge, Massachusetts"], ["Win", "7-0-0", "Jack Lewis", "KO", "1932", "3", "Chicago, Illinois"], ["Win", "21-0-0", "Lawrence \"Larry\" O'Neil", "KO", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Gale Bennett | 128 | Answer: |
Table InputTable: [["Date", "Time", "", "Score", "", "Set 1", "Set 2", "Set 3", "Set 4", "Set 5", "Total", "Report"], ["17 Nov", "18:00", "Tunisia", "3–2", "South Korea", "25–22", "24–26", "17–25", "28–26", "15–13", "109–112", "P2 P3"], ["22 Nov", "18:00", "South Korea", "0–3", "Russia", "13–25", "21–25", "13–25", "", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Hull", "Type", "Original Name", "Original Operator", "Delivery", "Disposition (2012)", "2nd name", "2nd operator", "3rd Name", "3rd operator"], ["№ 3", "929-117", "Toppy 1", "Tane Yaku Jetfoils", "Sep 1989", "Active", "Beetle 3", "JR Kyushu Jet Ferries", "", ""], ["№ 12", "929-117", "Toppy 2", "Tan... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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/Torneo", "Jornada or Other", "Home Team", "Result", "Away Team", "Stadium", "Date"], ["1988–1989 season", "12", "Chivas", "2–2", "América", "Estadio Jalisco", "29 December 1988"], ["1986–1987 season", "24", "Chivas", "2–2", "América", "Estadio Jalisco", "11 January 1987"], ["1988-1989 Season... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Croatia", "0", "3", "3", "6"], ["7", "Algeria", "2", "0", "2", "4"], ["6", "Tunisia", "3", "0", "0", "3"], ["9", "Egypt", "0", "1", "2", "3"], ["3", "Slovenia", "5", "4", "3", "12"], ["5", "Greece", "3", "4", "9", "16"], ["2", "Italy", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Spain | 128 | Answer: |
Table InputTable: [["Date", "Rnd", "Race Name", "Circuit", "City/Location", "Pole position", "Winning driver", "Winning team", "Report"], ["1", "April 8", "Autoworks 200", "Phoenix International Raceway", "Phoenix, Arizona", "Rick Mears", "Rick Mears", "Team Penske", "Report"], ["NC", "October 6", "Marlboro Challenge",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Team Penske | 128 | Answer: |
Table InputTable: [["Team", "Stadium", "Capacity", "City/Area"], ["Bradford Bulls (2014 season)", "Provident Stadium", "27,000", "Bradford, West Yorkshire"], ["Salford City Reds (2014 season)", "Salford City Stadium", "12,000", "Salford, Greater Manchester"], ["Huddersfield Giants (2014 season)", "John Smith's Stadium"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Provident Stadium | 128 | Answer: |
Table InputTable: [["#", "Date", "Location", "Winner", "Score\\nJSU", "Score\\nTU", "Series"], ["38", "November 11, 1972", "Jacksonville, AL", "Tied", "14", "14", "JSU 22–14–2"], ["7", "October 26, 1934", "Troy, AL", "Troy State", "0", "32", "TSU 4–3"], ["1", "November 27, 1924", "Jacksonville, AL", "Jacksonville State... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | November 11, 1972 | 128 | Answer: |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["24 Aug 1950", "Port Vale", "A", "0–1", "", "30,196"], ["23 Sep 1950", "Bristol Rovers", "A", "0–1", "", "19,816"], ["16 Sep 1950", "Colchester United", "H", "2–0", "Parker 2", "16,021"], ["11 Nov 1950", "Southend United", "A", "0–3"... | 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:... | Torquay United | 128 | Answer: |
Table InputTable: [["#", "Title", "Singer(s)", "Lyricist", "Length"], ["6", "\"Pyar Hua Iqrar Hua\"", "Lata Mangeshkar, Manna Dey", "Shailendra", "4:22"], ["4", "\"Mudh Mudh Ke Na Dekh\"", "Lata Mangeshkar, Manna Dey", "Shailendra", "6:34"], ["1", "\"Dil Ka Haal Sune Dilwaala\"", "Manna Dey", "Shailendra", "5:36"], ["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:... | Lata Mangeshkar, Manna Dey | 128 | Answer: |
Table InputTable: [["Single / EP", "Tracks", "Label", "Year", "Album"], ["2012 – Remix Contest EP", "2012 (Remastered)", "Burn The Fire", "2012", "The Agenda"], ["Louder Than Bombs", "Louder Than Bombs", "Burn The Fire", "2012", "The Agenda"], ["Onslaught", "Onslaught", "Burn The Fire", "2012", "The Agenda"], ["Decepti... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Season", "Class", "Moto", "Races", "Win", "Podiums", "Pole", "Pts", "Position"], ["2010", "125cc", "Aprilia", "16", "3", "14", "1", "296", "2nd"], ["2007", "125cc", "Derbi", "17", "0", "0", "0", "19", "22nd"], ["2004", "125cc", "Aprilia", "1", "0", "0", "0", "0", "NC"], ["2006", "125cc", "Derbi", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Route", "Name", "Fare Type", "Terminals", "Terminals", "Major streets", "Notes", "History"], ["U4", "Sheriff Road-River Terrace Line", "Local", "River Terrace and Mayfair", "Minnesota Avenue station", "Sheriff Road NE\\nMinnesota Avenue NE\\nBenning Road NE", "order of terminals (north to south): R... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 17 | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Nation", "Swimmers", "Time", "Time behind", "Notes"], ["", "5", "Australia", "Grant Hackett (1:47.50)\\nMichael Klim (1:47.62)\\nNicholas Sprenger (1:48.16)\\nIan Thorpe (1:44.18)", "7:07.46", "0.13", ""], ["", "7", "Italy", "Emiliano Brembilla (1:48.16)\\nMassimiliano Rosolino (1:4... | 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:... | Great Britain, Canada, Germany, France, Greece | 128 | Answer: |
Table InputTable: [["Date", "Location", "Air/Ground", "Number", "Type", "Status"], ["13 April 1944", "West of Mannheim, Germany", "Air", "1", "FW-190", "Destroyed"], ["27 November 1944", "South of Magdeburg, Germany", "Air", "4", "FW-190", "Destroyed"], ["16 March 1944", "20 miles south of Stuttgart, Germany", "Air", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 March 1944 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["1994–1999", "Sister, Sister", "Tamera Campbell", "119 episodes"], ["2006–2007", "Family Guy", "Esther", "Voice\\n3 episodes"], ["2009", "Roommates", "Hope", "13 episodes"], ["2014", "Melissa and Joey", "Gillian", "Season 3 Episode 24 'To Tell the Truth'"], ["2004... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 119 | 128 | Answer: |
Table InputTable: [["City", "County", "Population (2011)", "Population (2002)", "Altitude (m)", "Year status\\ngranted* or\\nfirst attested†"], ["Brașov", "Brașov", "253,200", "284,596", "625", "1235†"], ["Râșnov", "Brașov", "15,022", "16,242", "", ""], ["Predeal", "Brașov", "4,755", "5,615", "1030", "1935*"], ["Zărneș... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Craiova | 128 | Answer: |
Table InputTable: [["Year", "Manufacturer", "Model", "Length (feet)", "Quantity", "Fleet Series", "Fuel Propulsion", "Powertrain"], ["1996", "New Flyer", "D60", "60 (articulated)", "30", "1901-1930*", "Diesel", "Detroit Diesel Series 50\\nAllison B400R"], ["1999", "NABI", "40-LFW", "40", "44", "4001-4044", "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:... | 60 | 128 | Answer: |
Table InputTable: [["Year", "Award", "Nominated work", "Category", "Result"], ["2009", "BEFFTA Awards", "Leona Lewis", "Best Female Act", "Won"], ["2008", "Britain's Best", "Leona Lewis", "Music Award", "Won"], ["2008", "Capital Awards", "Leona Lewis", "Favourite UK Female Artist", "Won"], ["2007", "Cosmopolitan Ultima... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["4", "Marilyn Musgrave", "Re-election", "Betsy Markey", "Marilyn Musgrave"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["1", "Diana DeGette", "Re-election", "Diana DeGette", "George Lilly"], ["5", "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:... | 3 | 128 | Answer: |
Table InputTable: [["Event", "Class", "Gold", "Silver", "Bronze"], ["Giant slalom", "LW2\\ndetails", "Michael Milton\\nAustralia (AUS)", "Jason Lalla\\nUnited States (USA)", "Asle Tangvik\\nNorway (NOR)"], ["Giant slalom", "LW4\\ndetails", "Steven Bayley\\nNew Zealand (NZL)", "Hans Burn\\nSwitzerland (SUI)", "Robert Me... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Place", "Shooter", "5 pts", "4 pts", "3 pts", "2 pts", "1 pts", "0 pts", "Total", "Rank"], ["–", "Czechoslovakia (TCH)", "1", "2", "6", "1", "-", "-", "33", ""], ["6", "Hungary (HUN)", "1", "8", "17", "4", "1", "9", "97", ""], ["2", "Otto Hultberg", "1", "6", "3", "-", "-", "-", "38", "8"], ["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:... | Norway (NOR) | 128 | Answer: |
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