question stringlengths 2.11k 2.25k | context stringlengths 265 2.3k | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 | tuple_count int64 2 33 | token_count int64 95 601 |
|---|---|---|---|---|---|---|
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Round', 'Date', 'Home/Away', 'Opponent team', 'Score', 'Scorers'], ['16', 'December 21, 2008', 'Away', 'KS Flamurtari VlorΓ«', '2β0', ''], ['27', 'April 11, 2009', 'Home', 'KF Elbasani', '3β0', "Daniel Xhafa \xa051', Devis Mukaj \xa077', Migen Memelli \xa086'"], ['19', 'February 5, 2009', 'Home', 'KS Shkumbini Peqin'... | 17 | Answer: | 128 | 12 | 507 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Date', 'Opponents', 'Venue', 'Result', 'Scorers', 'Attendance'], ['18 Apr 1951', 'Brighton & Hove Albion', 'A', '1β9', 'Parker', '12,114'], ['2 Sep 1950', 'Aldershot', 'H', '7β0', 'Roffi 4, Parker 2, M.Haines', '13,696'], ['26 Dec 1950', 'Walsall', 'H', '3β0', 'Parker, Moore, Birch', '13,160'], ['21 Sep 1950', 'Nort... | 2 games | Answer: | 128 | 15 | 503 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Goal', 'Date', 'Venue', 'Opponent', 'Score', 'Result', 'Competition'], ['7', '2012-2-29', 'Tsirion Stadium, Limassol, Cyprus', 'Canada', '1-2', '1-3', 'Friendly match'], ['5', '2011-10-7', 'Hanrapetakan Stadium, Yerevan, Armenia', 'Macedonia', '1-0', '4-1', 'Euro 2012 Q'], ['1', '2008-5-28', 'Sheriff Stadium, Tirasp... | Tsirion Stadium | Answer: | 128 | 7 | 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:... | [['Conference', '# of Bids', 'Record', 'Win\xa0%', 'Round\\nof 32', 'Sweet\\nSixteen', 'Elite\\nEight', 'Final\\nFour', 'Championship\\nGame'], ['Great Midwest', '2', '0β2', 'β', 'β', 'β', 'β', 'β', 'β'], ['Colonial', '1', '1β1', '.500', '1', 'β', 'β', 'β', 'β'], ['Southwest', '4', '5β4', '.556', '3', '2', 'β', 'β', 'β... | 3 | Answer: | 128 | 16 | 534 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['School Name', 'Low grade', 'High grade', 'Students (K-12)', 'FTE Teachers', 'Student/teacher ratio'], ['St Helen Elementary School', 'K', '8', '182', '10.9', '16.7'], ['St Pauls Lutheran School', 'PK', '8', '155', '9.6', '16.15'], ['Nouvel Catholic Central High School', '9', '12', '505', '37', '13.65'], ['Valley Lut... | Less | Answer: | 128 | 20 | 495 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Athlete', 'Nationality', '2.15', '2.20', '2.24', '2.27', 'Result', 'Notes'], ['15.', 'Svatoslav Ton', 'Czech Republic', 'o', 'xo', 'xxx', '', '2.20', ''], ['16.', 'Adam Shunk', 'United States', 'o', 'xxx', '', '2.15', '', ''], ['7.', 'Giulio Ciotti', 'Italy', 'o', 'o', 'o', 'xxx', '2.24', 'q'], ['16.', 'Roma... | Ramsay Carelse | Answer: | 128 | 15 | 528 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Single / EP', 'Tracks', 'Label', 'Year', 'Album'], ['Left To Right', 'Left To Right', 'Destination?', '2009', 'β'], ['Ancient Psychic Tandem War Elephant', 'Ancient Psychic Tandem War Elephant', 'Burn The Fire', '2011', 'β'], ['The Thirteenth Skull', 'The Thirteenth Skull', 'Burn The Fire', '2010', 'β'], ['Drop Bear... | Hyped | Answer: | 128 | 20 | 522 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['#', 'Player', 'Goals', 'Caps', 'Career'], ['6T', 'Jozy Altidore', '21', '67', '2007βpresent'], ['8', 'Eddie Johnson', '19', '62', '2004βpresent'], ['2', 'Clint Dempsey', '36', '103', '2004βpresent'], ['6T', 'Bruce Murray', '21', '86', '1985β1993'], ['3', 'Eric Wynalda', '34', '106', '1990β2000'], ['1', 'Landon Donov... | less | Answer: | 128 | 10 | 229 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Location', 'Reactor type', 'Status', 'Net\\nCapacity\\n(MWe)', 'Gross\\nCapacity\\n(MWe)'], ['Kursk-6', 'RBMK-1000', 'construction cancelled in 1993', '925', '1,000'], ['Chernobyl-1', 'RBMK-1000', 'shut down in 1996', '740', '800'], ['Kursk-4', 'RBMK-1000', 'operational until February 2016', '925', '1,000'], ['Lenin... | Chernobyl-4 | Answer: | 128 | 15 | 515 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['DATE', 'OPPONENT', 'SCORE', 'TOP SCORER (Total points)', 'VENUE'], ['September 29', "TALK 'N TEXT", '99-85', '', 'DUMAGUETE CITY'], ['July 1', 'POP COLA', '95-79', '', 'ARANETA COLISEUM'], ['October 14', 'SHELL', '68-62', '', 'YNARES CENTER'], ['November 7', 'SAN MIGUEL', '86-81', '', 'ARANETA COLISEUM'], ['June 24'... | 19 | Answer: | 128 | 19 | 524 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Date', 'Location', 'Opponent', 'Result', 'Competition'], ['March 5, 2014', 'Mitrovica, Kosovo', 'Kosovo', '0β0', 'F'], ['July 15, 2013', 'Houston, United States', 'El Salvador', '0-1', 'GC'], ['June 8, 2013', 'Miami, United States', 'Spain', '1β2', 'F'], ['June 11, 2013', 'Rio de Janeiro, Brazil', 'Italy', '2β2', 'F... | Kosovo | Answer: | 128 | 11 | 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:... | [['Year', 'Matches', 'Winner', 'Results', 'Pakistan\\nCaptain', 'Pakistan\\nCoach', 'India\\nCaptain', 'India\\nCoach'], ['1978', '4', 'Pakistan win', '3 - 1', 'Islahuddin Siddique', 'Sayad A. Hussain', 'V. J. Philips', 'R. S. Gentle'], ['1999', '9', 'Pakistan win', '5 - 3', 'Atif Bashir', 'Shahnaz Shaikh', 'Anil Aldri... | 16 | Answer: | 128 | 9 | 424 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Diver', 'Nationality', 'Preliminary\\nPoints', 'Preliminary\\nRank', 'Final\\nPoints', 'Final\\nRank'], ['5', 'Nadezhda Bazhina', 'Russia', '262.75', '7', '286.20', '5'], ['14', 'Jennifer Abel', 'Canada', '250.95', '14', '', ''], ['22', 'Arantxa Chavez', 'Mexico', '232.35', '22', '', ''], ['34', 'Maria Flore... | 2 | Answer: | 128 | 19 | 531 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Pos', 'No.', 'Driver', 'Team', 'Engine', 'Laps', 'Time/Retired', 'Grid', 'Laps Led', 'Points'], ['20', '20', 'Ed Carpenter', 'Ed Carpenter Racing', 'Chevrolet', '84', '+ 1 lap', '25', '0', '12'], ['16', '5', 'E.J. Viso', 'KV Racing Technology', 'Chevrolet', '84', '+ 1 lap', '17', '0', '14'], ['9', '98', 'Alex Taglia... | Graham Rahal | Answer: | 128 | 13 | 548 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'City', 'Passengers', 'Ranking', 'Airline'], ['10', 'Tamaulipas, Tampico', '3,619', '1', 'VivaAerobus'], ['3', 'Guerrero, Acapulco', '56,069', '', 'AeromΓ©xico Connect, Interjet'], ['5', 'Jalisco, Puerto Vallarta', '43,419', '1', 'Interjet'], ['8', 'Baja California, Tijuana', '14,906', '', 'Interjet'], ['9', '... | 4 | Answer: | 128 | 10 | 294 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Date', 'Team', 'Competition', 'Round', 'Leg', 'Opponent', 'Location', 'Score'], ['October 4', 'Anderlecht', 'UEFA Cup', 'Round 1', 'Leg 2, Away', 'Rapid Wien', 'Gerhard Hanappi Stadium, Vienna', '1-0'], ['July 7', 'Gent', 'Intertoto Cup', 'Round 2', 'Leg 1, Home', 'Cliftonville', 'Jules Ottenstadion, Ghent', '2-0'],... | 24 | Answer: | 128 | 10 | 528 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Nation', 'Gold', 'Silver', 'Bronze', 'Total'], ['2', 'Japan', '7', '10', '7', '24'], ['1', 'China', '13', '9', '13', '35'], ['4', 'Kazakhstan', '2', '2', '0', '4'], ['6', 'South Korea', '0', '0', '2', '2'], ['5', 'North Korea', '1', '0', '1', '2'], ['3', 'Uzbekistan', '1', '2', '3', '6'], ['Total', 'Total', ... | 35 | Answer: | 128 | 7 | 151 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Association', 'Joining year', "Men's team", "Women's team", 'League'], ['Mongolia', '2002', 'Mongolia', 'Mongolia', 'Mongolia Premier League'], ['Guam', '2002', 'Guam', 'Guam', 'Guam League'], ['Hong Kong', '2002', 'Hong Kong', 'Hong Kong', 'Hong Kong First Division League'], ['Northern Mariana Islands', '2008 1', '... | Northern Mariana Islands | Answer: | 128 | 10 | 261 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Island', 'Area\\n(kmΒ²)', 'Area\\n(sq mi)', 'Country/Countries/Region'], ['290', 'DyrΓΈya', '53', '20', 'Norway'], ['230', 'Austra', '88', '34', 'Norway'], ['246', 'FΓΆhr', '82', '32', 'Germany'], ['229', 'Tustna', '89', '34', 'Norway'], ['220', 'Sheppey', '94', '36', 'United Kingdom'], ['227', 'Vis', '90', '35... | Tiree | Answer: | 128 | 27 | 535 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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.', 'Date/time', 'Aircraft', 'Foe', 'Result', 'Location', 'Notes'], ['1', '4 December 1916 @ 1100 hours', 'Nieuport serial number 3958', 'Albatros D.I', 'Driven down out of control', 'Northeast of Bapaume, France', 'Victory shared with another pilot'], ['3', '2 May 1917 @ 0945 hours', 'Sopwith Triplane s/n N5460',... | Sopwith Triplane s/n N5460 | Answer: | 128 | 8 | 443 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Week', 'Date', 'Opponent', 'Result', 'Record', 'TV Time', 'Attendance'], ['10', 'November 18, 2001', 'at New England Patriots', 'W 24β17', '8β1', 'ESPN 7:30pm', '60,292'], ['14', 'December 17, 2001', 'at New Orleans Saints', 'W 34β21', '11β2', 'ABC 8:00pm', '70,332'], ['12', 'December 2, 2001', 'at Atlanta Falcons',... | New Orleans Saints | Answer: | 128 | 12 | 535 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Tablet', 'Genealogy', 'Narrative', 'Colophon'], ['3', 'Adam to Noah 5:1 - 32', '6:1 - 8', '"This is the account of Noah." 6:9'], ['11', 'Descendants of Esau 36:10 to 37:1', 'no narrative', '"This is the account of Jacob." 37:2'], ['5', 'Descendants of Shem, Ham, and Japeth 10:1 - 32', '11:1 - 9', '"This is the accou... | 3 | Answer: | 128 | 12 | 498 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Week', 'Date', 'Opponent', 'Results\\nFinal score', 'Results\\nTeam record', 'Venue', 'Attendance'], ['7', 'October 29', 'at Green Bay Packers', 'W 27β13', '3β4', 'Lambeau Field', '56,263'], ['2', 'September 24', 'at Detroit Lions', 'W 34β10', '1β1', 'Tiger Stadium', '54,418'], ['4', 'October 8', 'St. Louis Cardinal... | 160782 | Answer: | 128 | 14 | 528 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Season', 'Age', 'Overall', 'Slalom', 'Giant\\nSlalom', 'Super G', 'Downhill', 'Combined'], ['2009', '22', '9', 'β', '40', '2', '5', '50'], ['2013', '26', '37', 'β', '17', '28', '30', 'β'], ['2011', '24', 'Injured, did not compete', 'Injured, did not compete', 'Injured, did not compete', 'Injured, did not compete', '... | 10 | Answer: | 128 | 10 | 312 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['May 20-21\\n118', 'March 9\\n120', 'December 25-26\\n122', 'October 13-14\\n124', 'August 1-2\\n126'], ['May 21, 1993', 'March 9, 1997', 'December 25, 2000', 'October 14, 2004', 'August 1, 2008'], ['May 20, 2050', 'March 9, 2054', 'December 26, 2057', 'October 13, 2061', 'August 2, 2065'], ['May 21, 2031', 'March 9,... | March 9, 2016 | Answer: | 128 | 7 | 273 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Competition', 'Venue', 'Position', 'Notes'], ['2007', 'World Student Games', 'Bangkok, Thailand', '5th', '64.95 m'], ['2007', 'World Championships', 'Osaka, Japan', '13th', '68.15 m'], ['2006', 'European Championships', 'Gothenburg, Sweden', '26th', '62.39 m'], ['1999', 'World Youth Championships', 'Bydgoszc... | 60.28 m | Answer: | 128 | 15 | 387 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'City', 'Passengers', 'Ranking', 'Airline'], ['10', 'Tamaulipas, Tampico', '3,619', '1', 'VivaAerobus'], ['7', 'Guerrero, Ixtapa/Zihuatanejo', '35,507', '', 'Interjet'], ['9', 'Tabasco, Villahermosa', '6,928', '1', 'VivaAerobus'], ['6', 'Baja California Sur, Los Cabos', '37,526', '1', 'Interjet'], ['4', 'Jali... | Tamaulipas, Tampico | Answer: | 128 | 10 | 294 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Conference', '# of Bids', 'Record', 'Win\xa0%', 'Round\\nof 32', 'Sweet\\nSixteen', 'Elite\\nEight', 'Final\\nFour', 'Championship\\nGame'], ['Pacific-10', '5', '8β5', '.615', '4', '2', '2', 'β', 'β'], ['Missouri Valley', '2', '2β2', '.500', '2', 'β', 'β', 'β', 'β'], ['Mid-Continent', '2', '0β2', 'β', 'β', 'β', 'β',... | Southeastern | Answer: | 128 | 16 | 534 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Nation', 'Gold', 'Silver', 'Bronze', 'Total'], ['5', 'Greece', '3', '4', '9', '16'], ['3', 'Slovenia', '5', '4', '3', '12'], ['Total', 'Total', '43', '41', '42', '126'], ['1', 'France', '14', '7', '7', '28'], ['2', 'Italy', '12', '8', '10', '30'], ['8', 'Croatia', '0', '3', '3', '6'], ['6', 'Tunisia', '3', '... | Spain | Answer: | 128 | 10 | 208 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Season', 'Class', 'Moto', 'Races', 'Win', 'Podiums', 'Pole', 'Pts', 'Position'], ['2007', '125cc', 'Derbi', '17', '0', '0', '0', '19', '22nd'], ['2008', '125cc', 'Aprilia', '17', '1', '5', '0', '176', '5th'], ['2014', 'Moto2', 'Suter', '1', '0', '0', '0', '0*', 'NC*'], ['2012', 'Moto2', 'Suter', '17', '0', '1', '0',... | 2011 | Answer: | 128 | 12 | 402 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Celebrity', 'Residence', 'Famous for.../Occupation', 'Age', 'Status'], ['Regina Do Santos', 'Brazil', 'Singer & Dancer', '58', '1st / 14th Evicted'], ['Brenda CerdΓ‘', 'Valencia', 'Reality show star', '19', '4th Evicted'], ['RaΓΊl Hidalgo', 'Valladolid', 'Reality show star', '29', '6th Evicted'], ['Nagore Robles', 'Bi... | Regina Do Santos | Answer: | 128 | 16 | 512 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Specifications', 'Foundation', 'Essentials', 'Standard', 'Datacenter'], ['Windows Deployment Services', 'Yes', 'Yes', 'Yes', 'Yes'], ['Licensing model', 'Per server', 'Per server', 'Per CPU pair + CAL', 'Per CPU pair + CAL'], ['Active Directory Rights Management Services', 'Yes', 'Yes', 'Yes', 'Yes'], ['Active Direc... | 1 | Answer: | 128 | 24 | 496 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Athlete', 'Nationality', '2.15', '2.20', '2.24', '2.27', 'Result', 'Notes'], ['13.', 'Mustapha Raifak', 'France', 'o', 'o', 'xxo', 'xxx', '2.24', ''], ['10.', 'Tora Harris', 'United States', 'o', 'o', 'xo', 'xxx', '2.24', ''], ['10.', 'Nicola Ciotti', 'Italy', 'o', 'o', 'xo', 'xxx', '2.24', ''], ['10.', 'Woj... | 5 | Answer: | 128 | 15 | 527 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Country', 'Amphibians', 'Birds', 'Mammals', 'Reptile', 'Total terrestrial vertebrates', 'Vascular plants', 'Biodiversity'], ['Belize', '46', '544', '147', '140', '877', '2894', '3771'], ['Honduras', '101', '699', '201', '213', '1214', '5680', '6894'], ['Costa Rica', '183', '838', '232', '258', '1511', '12119', '1363... | 16 | Answer: | 128 | 7 | 236 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Network', 'Race caller', 'Color commentator', 'Reporters', 'Trophy Presentation'], ['1957', 'CBS', 'Fred Capossela', 'Bryan Field', '', ''], ['1958', 'CBS', 'Fred Capossela', 'Bryan Field', '', ''], ['1959', 'CBS', 'Fred Capossela', 'Bryan Field and Chris Schenkel', '', 'Chris Schenkel'], ['1956', 'CBS', 'Fr... | 5 | Answer: | 128 | 8 | 211 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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. in\\nseries', 'No. in\\nseason', 'Title', 'Directed by', 'Written by', 'Original air date', 'Prod.\\ncode'], ['17', '16', '"The Barter"', 'Allen Reisner', 'Harvey Bullock & P.S. Allen', 'January\xa012,\xa01966', '116'], ['18', '18', '"Court of the Lion"', 'Robert Culp', 'Robert Culp', 'February\xa02,\xa01966', '... | 10 | Answer: | 128 | 13 | 539 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Player', 'Friendlies', 'FIFA Confederations Cup', 'FIFA World Cup Qual.', 'Total Goals'], ['Skoko', '-', '1', '-', '1'], ['Bresciano', '2', '-', '1', '3'], ['Thompson', '1', '-', '2', '3'], ['Zdrilic', '1', '-', '-', '1'], ['Viduka', '1', '-', '2', '3'], ['Colosimo', '1', '-', '-', '1'], ['Emerton', '-', '-', '2', '... | Colosimo | Answer: | 128 | 14 | 216 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['County', 'Brown', 'Votes', 'Nixon', 'Votes', 'Wyckoff', 'Votes'], ['Santa Barbara', '47.50%', '30,424', '51.24%', '32,821', '1.26%', '807'], ['San Benito', '48.30%', '2,527', '50.46%', '2,640', '1.24%', '65'], ['Modoc', '51.73%', '1,641', '46.44%', '1,473', '1.83%', '58'], ['Butte', '47.74%', '16,142', '50.79%', '17... | Plumas | Answer: | 128 | 16 | 534 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Outcome', 'No.', 'Date', 'Tournament', 'Surface', 'Opponent', 'Score'], ['Runner-up', '4.', '31 July 2006', 'Martina Franca, Italy', 'Clay', 'Margalita Chakhnashvili', '6β3, 7β5'], ['Runner-up', '9.', '11 October 2010', 'Settimo San Pietro, Italy', 'Clay', 'Anastasia Grymalska', '4β6, 6β2, 7β5'], ['Runner-up', '7.',... | no | Answer: | 128 | 11 | 513 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Iteration', 'Dates', 'Location', 'Attendance', 'Notes'], ['GameStorm 12', 'March 25β28, 2010', 'Hilton - Vancouver, WA', '802', 'Board games Guest of Honor: Tom Lehmann'], ['GameStorm 14', 'March 22β25, 2012', 'Hilton - Vancouver, WA', '1072', 'Boardgame:Andrew Hackard and Sam Mitschke of Steve Jackson Games - RPG: ... | 5532 | Answer: | 128 | 7 | 309 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Pos', 'No', 'Driver', 'Constructor', 'Laps', 'Time/Retired', 'Grid', 'Points'], ['6', '24', 'Rolf Stommelen', 'Surtees-Ford', '79', '+ 1 Lap', '16', '1'], ['2', '17', 'Ronnie Peterson', 'March-Ford', '80', '+ 25.6', '6', '6'], ['1', '11', 'Jackie Stewart', 'Tyrrell-Ford', '80', '1:52:21.3', '1', '9'], ['8', '27', 'H... | 5 | Answer: | 128 | 16 | 518 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Place', 'Player', 'Country', 'Score', 'To par', 'Money ($)'], ['2', 'Greg Norman', 'Australia', '68-67-74-73=282', '+2', '207,000'], ['1', 'Corey Pavin', 'United States', '72-69-71-68=280', 'E', '350,000'], ['T4', 'Davis Love III', 'United States', '72-68-73-71=284', '+4', '66,633'], ['T10', 'Vijay Singh', 'Fiji', '... | Bob Tway | Answer: | 128 | 12 | 401 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Rank', 'Lane', 'Name', 'Nationality', 'Time', 'Notes'], ['1', '5', 'Eskender Mustafaiev', 'Ukraine', '38.77', 'Q'], ['8', '1', 'Arnulfo Castorena', 'Mexico', '1:03.49', ''], ['5', '7', 'Arnost Petracek', 'Czech Republic', '43.12', ''], ['4', '6', 'Christoffer Lindhe', 'Sweden', '41.52', 'Q'], ['6', '2', 'Ronystony C... | 43.12 | Answer: | 128 | 8 | 212 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Year', 'Award', 'Nominated work', 'Category', 'Result'], ['2008', "Britain's Best", 'Leona Lewis', 'Music Award', 'Won'], ['2008', 'UK Music Video Awards', '"Bleeding Love"', "People's Choice Award", 'Won'], ['2008', 'Vh1 Video of the Year', '"Bleeding Love"', 'Best Video', 'Won'], ['2009', 'NAACP Image Awards', 'Le... | 6 | Answer: | 128 | 19 | 509 |
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