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:... | [['Rank', 'Cyclist', 'Team', 'Time', 'UCI ProTour\\nPoints'], ['8', 'StΓ©phane Goubert\xa0(FRA)', 'Ag2r-La Mondiale', '+ 2"', '5'], ['4', 'Paolo Bettini\xa0(ITA)', 'Quick Step', 's.t.', '20'], ['3', 'Davide Rebellin\xa0(ITA)', 'Gerolsteiner', 's.t.', '25'], ['9', 'Haimar Zubeldia\xa0(ESP)', 'Euskaltel-Euskadi', '+ 2"', ... | Italy | Answer: | 128 | 10 | 310 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Description Losses', '1939/40', '1940/41', '1941/42', '1942/43', '1943/44', '1944/45', 'Total'], ['Deaths other countries', '', '', '', '', '', '', '2,000'], ['Total', '504,000', '352,000', '407,000', '541,000', '681,000', '270,000', '2,770,000'], ['Murdered in Eastern Regions', '', '', '', '', '', '100,000', '100,0... | 100,000 | Answer: | 128 | 7 | 263 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Division', 'League', 'Reg. Season', 'Playoffs', 'National Cup'], ['1944/45', 'N/A', 'ASL', '9th', 'No playoff', '?'], ['1949/50', 'N/A', 'ASL', '3rd', 'No playoff', '?'], ['1955/56', 'N/A', 'ASL', '6th', 'No playoff', '?'], ['1943/44', 'N/A', 'ASL', '9th', 'No playoff', '?'], ['1940/41', 'N/A', 'ASL', '6th',... | 17 years | Answer: | 128 | 20 | 530 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Series #', 'Season #', 'Title', 'Notes', 'Original air date'], ['9', '1', '"Dee Dee Runs Away"', "Dee Dee has been waiting to go to a monster truck show all week. But Alfie and Goo's baseball team makes it to the tournament and everyone forgets about the monster truck show. Dee Dee feels ignored and runs away from h... | January 26, 1995 | Answer: | 128 | 4 | 461 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Competition', 'Location', 'Country', 'Event', 'Placing', 'Rider', 'Nationality'], ['30 October 2009', '2009β10 World Cup', 'Manchester', 'United Kingdom', 'Keirin', '1', 'Chris Hoy', 'GBR'], ['30 October 2009', '2009β10 World Cup', 'Manchester', 'United Kingdom', 'Sprint', '1', 'Chris Hoy', 'GBR'], ['1 Novem... | 17 | Answer: | 128 | 13 | 520 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Event', 'Notes'], ['2000', 'World Junior Championships', 'Santiago, Chile', '1st', 'Discus throw', '59.51 m'], ['2008', 'African Championships', 'Addis Ababa, Ethiopia', '2nd', 'Discus throw', '56.98 m'], ['2007', 'All-Africa Games', 'Algiers, Algeria', '3rd', 'Discus thro... | World Junior Championships | Answer: | 128 | 9 | 299 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Film', 'Role', 'Language', 'Notes'], ['2014', 'Endendigu', '', '', 'Filming'], ['2013', 'Dilwala', 'Preethi', 'Kannada', ''], ['2012', 'Breaking News', 'Shraddha', 'Kannada', ''], ['2012', '18th Cross', 'Punya', 'Kannada', ''], ['2008', 'Moggina Manasu', 'Chanchala', 'Kannada', 'Filmfare Award for Best Actre... | 15 | Answer: | 128 | 17 | 474 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Game', 'Day', 'Date', 'Kickoff', 'Opponent', 'Results\\nScore', 'Results\\nRecord', 'Location', 'Attendance'], ['5', 'Saturday', 'December 14', '7:05pm', 'at Sacramento Surge', 'W 7β6 (OT)', '3β2', 'Estadio Azteca Soccer Arena', '215'], ['8', 'Saturday', 'January 4', '7:05pm', 'at Ontario Fury', 'L 5β12', '4β4', 'Ci... | 363 | Answer: | 128 | 11 | 536 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Kit Manufacturer', 'Shirt Sponsor', 'Back of Shirt Sponsor', 'Short Sponsor'], ['1985β1986', 'Umbro', 'Whitbread', '', ''], ['1993β1994', 'Club Sport', 'Gulf Oil', '', ''], ['2004β2008', 'Errea', 'Bence Building Merchants', '', ''], ['1977β1978', '', 'National Express', '', ''], ['1988β1989', '', 'Gulf Oil',... | 1982-1985 | Answer: | 128 | 17 | 366 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Event', 'Notes'], ['1999', 'European Junior Championships', 'Riga, Latvia', '4th', '400 m hurdles', '52.17'], ['2003', 'European U23 Championships', 'Bydgoszcz, Poland', '1st', '400 m hurdles', '48.45'], ['2000', 'World Junior Championships', 'Santiago, Chile', '1st', '400... | 2000 | Answer: | 128 | 16 | 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:... | [['Season', 'Team', 'Record', 'Head Coach', 'Quarterback', 'Leading Rusher', 'Leading Receiver', 'All-Pros', 'Runner Up'], ['1997', 'Green Bay Packers', '13β3', 'Mike Holmgren', 'Brett Favre', 'Dorsey Levens', 'Antonio Freeman', 'Butler, Favre', 'San Francisco 49ers'], ['2004', 'Philadelphia Eagles', '13β3', 'Andy Reid... | 2004, 2005, 2006 | Answer: | 128 | 10 | 525 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Name', 'League', 'FA Cup', 'League Cup', 'JP Trophy', 'Total'], ['Liam Sercombe', '1', '0', '0', '0', '1'], ['Danny Coles', '3', '0', '0', '0', '3'], ['Jimmy Keohane', '3', '0', '0', '0', '3'], ["John O'Flynn", '11', '0', '1', '0', '12'], ['Scot Bennett', '5', '0', '0', '0', '5'], ['OWN GOALS', '0', '0', '0', '0', '... | John | Answer: | 128 | 13 | 283 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Tournament', '2004', '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', 'WβL'], ['Year End Ranking', '129', '91', '68', '90', '62', '41', '33', '39', '76', '62', '', ''], ['Rome Masters', 'A', 'A', 'A', 'A', 'A', 'LQ', '3R', '1R', '2R', 'A', '', '3β3'], ['Wimbledon', 'A', '2R', '2R', '1R... | 440 | Answer: | 128 | 10 | 537 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Ship', 'Type of Vessel', 'Lake', 'Location', 'Lives lost'], ['Wexford', 'Steamer', 'Lake Huron', 'north of Grand Bend, Ontario', 'all hands'], ['Issac M. Scott', 'Steamer', 'Lake Huron', 'near Port Elgin, Ontario', '28 lost'], ['Charles S. Price', 'Steamer', 'Lake Huron', 'near Port Huron, Michigan', '28 lost'], ['A... | 7 | Answer: | 128 | 12 | 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:... | [['name', 'glyph', 'C string', 'Unicode', 'Unicode name'], ['c', 'c', 'c', 'U+0063', 'LATIN SMALL LETTER C'], ['backslash', '\\\\', '\\\\\\\\', 'U+005C', 'REVERSE SOLIDUS'], ['i', 'i', 'i', 'U+0069', 'LATIN SMALL LETTER I'], ['H', 'H', 'H', 'U+0048', 'LATIN CAPITAL LETTER H'], ['left-square-bracket', '[', '[', 'U+005B'... | space | Answer: | 128 | 24 | 525 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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#', 'Rank#', 'Site', 'TV', 'Result', 'Attendance'], ['November 5', 'at\xa0LSU', '#6', 'Tiger Stadium β’ Baton Rouge, LA (Rivalry)', 'ESPN', 'W\xa035β17', '75,453'], ['October 15', 'at\xa0Tennessee', '#10', 'Neyland Stadium β’ Knoxville, TN (Third Saturday in October)', 'ESPN', 'W\xa017β13', '96,856'], ... | 68 | Answer: | 128 | 11 | 514 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Rider', 'Manufacturer', 'Time/Retired', 'Points'], ['11', 'Alex Hofmann', 'TSR-Honda', '+26.933', '5'], ['3', 'Jeremy McWilliams', 'Aprilia', '+0.534', '16'], ['6', 'Ralf Waldmann', 'Aprilia', '+7.019', '10'], ['20', 'Lucas Oliver Bulto', 'Yamaha', '+1:25.758', ''], ['18', 'Julien Allemand', 'TSR-Honda', '+1:... | Tomomi Manako | Answer: | 128 | 23 | 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:... | [['Date', 'Festival', 'Location', 'Awards', 'Link'], ['Nov 16β18', 'AFF', 'WrocΕaw, Lower Silesia\\n\xa0Poland', '', 'AFF Poland'], ['Oct 1, Oct 15', 'Gwacheon International SF Festival', 'Gwacheon, Gyeonggi-do\\n\xa0South Korea', '', 'gisf.org'], ['Nov 12, Nov 18', 'Indonesia Fantastic Film Festival', 'Jakarta, Bandun... | 5 | Answer: | 128 | 14 | 514 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Name', 'City', 'Hospital beds', 'Operating rooms', 'Total', 'Trauma designation', 'Affiliation', 'Notes'], ['Wilkes Regional Medical Center', 'North Wilkesboro', '144', '9', '153', '-', 'CHS', '-'], ['Memorial Mission Hospital and Asheville Surgery Center', 'Asheville', '730', '36', '766', 'Level II', 'Mission', '-'... | Vidant Bertie Hospital | Answer: | 128 | 17 | 538 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Model', '1991', '1995', '1996', '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013'], ['Ε koda Superb', 'β', 'β', 'β', 'β', 'β', 'β', 'β', '177', '16,867', '23,135', '22,392', '22,091', '20,989', '20,530', '25,645', '44,548', '98,873',... | 492,111 | Answer: | 128 | 5 | 505 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Championship', 'Surface', 'Opponent in the final', 'Score in the final'], ['Winner', '2.', 'February 14, 1994', 'Memphis, Tennessee, USA', 'Hard', 'Brad Gilbert', '6β4, 7β5'], ['Winner', '6.', 'April 20, 1998', 'Barcelona, Spain', 'Clay', 'Alberto Berasategui', '6β2, 1β6, 6β3, 6β2'], ['Runn... | 1 | Answer: | 128 | 10 | 523 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['9', 'Aruba', '0', '0', '1', '1'], ['7', 'Ecuador', '0', '2', '2', '4'], ['3', 'Colombia', '2', '3', '4', '9'], ['9', 'Netherlands Antilles', '0', '0', '1', '1'], ['1', 'Brazil', '7', '5', '3', '15'], ['6', 'Peru', '1', '1', '2', '4'], ['4', 'Chile', '2', '0', ... | Brazil | Answer: | 128 | 13 | 267 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Rider', 'Country', 'Team', 'Points', 'Wins'], ['10', 'Dave Bickers', 'United Kingdom', 'ΔZ', '1076', '0'], ['8', 'Gaston Rahier', 'Belgium', 'ΔZ', '1112', '0'], ['6', 'Heikki Mikkola', 'Finland', 'Husqvarna', '1680', '2'], ['15', 'Brad Lackey', 'United States', 'ΔZ', '603', '0'], ['17', 'John DeSoto', 'Unit... | 7 | Answer: | 128 | 20 | 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:... | [['Position', 'Sail Number', 'Yacht', 'State/Country', 'Yacht Type', 'LOA\\n(Metres)', 'Skipper', 'Elapsed Time\\nd:hh:mm:ss'], ['1', 'US17', 'Sayonara', 'USA', 'Farr ILC Maxi', '24.13', 'Larry Ellison', '2:19:03:32'], ['6', 'SM1', 'Fudge', 'VIC', 'Elliot 56', '17.07', 'Peter Hansen', '3:11:00:26'], ['3', 'YC1000', 'Au... | Brindabella | Answer: | 128 | 10 | 466 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Match', 'Date', 'Venue', 'Opponents', 'Score'], ['GL-B-1', '2008..', '[[]]', '[[]]', '-'], ['Quarterfinals-1', '2008..', '[[]]', '[[]]', '-'], ['GL-B-5', '2008..', '[[]]', '[[]]', '-'], ['GL-B-6', '2008..', '[[]]', '[[]]', '-'], ['Quarterfinals-2', '2008..', '[[]]', '[[]]', '-'], ['GL-B-4', '2008..', '[[]]', '[[]]',... | GL-B-6 | Answer: | 128 | 8 | 170 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Series', 'Premiere', 'Finale', 'Winner', 'Runner-up', 'Third place', 'Host(s)', 'Judging panel', 'Guest judge(s)'], ['One', '9 June 2007', '17 June 2007', 'Paul Potts', 'Damon Scott', 'Connie Talbot', 'Ant & Dec', 'Simon Cowell\\nAmanda Holden\\nPiers Morgan', 'N/A'], ['Three', '11 April 2009', '30 May 2009', 'Diver... | 3 | Answer: | 128 | 9 | 546 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['2009', 'APRA Awards', '"Bleeding Love"', 'Most Played Foreign Work', 'Won'], ['2007', 'The Record of the Year', '"Bleeding Love"', 'The Record of the Year', 'Won'], ['2008', 'NME Best Album', '"Spirit"', 'Best Album', 'Nominated'], ['2008', 'Nickelodeon UK K... | 20 | Answer: | 128 | 20 | 526 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'League\\nPos.', 'League\\nCompetition', 'League\\nTop scorer', 'Danish Cup', 'Europe', 'Others'], ['2007-08', '8', '2007-08 Superliga', 'Morten Rasmussen (7)\\nMartin Ericsson (7)', 'Winner', '', ''], ['1999-00', '2', '1999-00 Superliga', 'Bent Christensen (13)', 'Semi-final', 'EC1 qual 3rd round\\nEC3 1st... | Simon Makienok Christoffersen | Answer: | 128 | 12 | 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:... | [['Contestant', 'Original Tribe', 'Switched Tribe', 'Merged Tribe', 'Finish', 'Total Votes'], ['Dana Borisova\\n26.the TV presenter', 'Pelicans', 'Barracudas', '', '4th Voted Out\\nDay 12', '5'], ['Yelena Kondulaynen\\n44.the actress', 'Pelicans', '', '', '1st Voted Out\\nDay 3', '5'], ['Marina Aleksandrova\\n20.the ac... | 9 | Answer: | 128 | 12 | 525 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['Season', 'Date', 'Location', 'Race', '', '', '', ''], ['2012', '25', '24', 'β', '16', '28', '17', '19'], ['2010', '6 Dec 2009', 'Beaver Creek, USA', 'Giant Slalom', '', '', '', ''], ['2014', '27', '18', 'β', '25', '14', '20'... | 1 | Answer: | 128 | 18 | 505 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Route', 'Name', 'Fare Type', 'Terminals', 'Terminals', 'Major streets', 'Notes', 'History'], ['H2, H3, H4', 'Crosstown Line', 'Local', 'Tenleytown-AU station', 'Brookland-CUA station', 'Wisconsin Avenue\\nPorter Street NW\\nVan Ness/Veazey Street NW (H2)\\nConnecticut Avenue (H2)\\nColumbia Road NW/Irving Street NW\... | Pennsylvania Avenue Metro Extra Line | Answer: | 128 | 3 | 478 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Stadium', 'Capacity', 'City/Area'], ['Leeds Rhinos (2014 season)', 'Headingley Carnegie Stadium', '22,250', 'Leeds, West Yorkshire'], ['Hull Kingston Rovers (2014 season)', 'MS3 Craven Park', '9,471', 'Kingston upon Hull, East Riding of Yorkshire'], ['Widnes Vikings (2014 season)', 'The Select Security Stadi... | DW Stadium | Answer: | 128 | 14 | 432 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Event', 'Notes'], ['1991', 'World Championships', 'Tokyo, Japan', '6th', 'Marathon', '2:15:58'], ['1990', 'European Championships', 'Split, FR Yugoslavia', '4th', 'Marathon', '2:17:45'], ['1992', 'Olympic Games', 'Barcelona, Spain', '5th', 'Marathon', '2:14:15'], ['1996', ... | 2 | Answer: | 128 | 8 | 253 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Season', 'Record', 'Conference Record', 'Place', 'Postseason'], ['Illinois', '1917β18', '9β6', '6β6', 'T4th', ''], ['Illinois', '1913β14', '9β4', '7β3', '3rd', ''], ['Illinois', '1914β15', '16β0', '12β0', 'T1st', 'National Champions'], ['Illinois', '1912β20', '85β34', '64β31', 'β', ''], ['Illinois', '1916β... | 1914-15 | Answer: | 128 | 9 | 262 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Represent', 'Candidate', 'in Russian', 'Age', 'Height', 'Hometown'], ['Saratov Oblast', 'Anastasija Marnolova', 'ΠΠ½Π°ΡΡΠ°ΡΠΈΡ ΠΠ°ΡΠ½ΠΎΠ»ΠΎΠ²Π°', '21', '1.74\xa0m (5\xa0ft 8\xa01β2\xa0in)', 'Saratov'], ['Capital City', 'Natalia Varnakova', 'ΠΠ°ΡΠ°Π»ΠΈΠ° ΠΠ°ΡΠ½Π°ΠΊΠΎΠ²Π°', '19', '1.80\xa0m (5\xa0ft 11\xa0in)', 'Moscow'], ['Chelyabinsk Obla... | Jahaira Novgorodova, Carmen Jenockova, Mariesea MnesiΔu, Patricia Valiahmetova, Anastasija Larkova | Answer: | 128 | 9 | 506 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['District', 'Incumbent', '2008 Status', 'Democratic', 'Republican'], ['4', 'Marilyn Musgrave', 'Re-election', 'Betsy Markey', 'Marilyn Musgrave'], ['5', 'Doug Lamborn', 'Re-election', 'Hal Bidlack', 'Doug Lamborn'], ['1', 'Diana DeGette', 'Re-election', 'Diana DeGette', 'George Lilly'], ['2', 'Mark Udall', 'Open', 'J... | 0 | Answer: | 128 | 7 | 185 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Competition', 'Location', 'Country', 'Event', 'Placing', 'Rider', 'Nationality'], ['1 November 2009', '2009β10 World Cup', 'Manchester', 'United Kingdom', 'Team sprint', '1', 'Ross Edgar', 'GBR'], ['2 November 2008', '2008β09 World Cup', 'Manchester', 'United Kingdom', 'Team sprint', '1', 'Jason Kenny', 'GBR... | 4 | Answer: | 128 | 13 | 519 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Top Carriers'], ['1', 'Los Angeles, CA', '700,000', 'American, Spirit, United'], ['4', 'San Francisco, CA', '492,000', 'United'], ['10', 'Phoenix, AZ', '393,000', 'United, US Airways'], ['7', 'Las Vegas, NV', '442,000', 'Spirit, United'], ['9', 'Atlanta, GA', '400,000', 'Delta, United']... | 10 | Answer: | 128 | 10 | 207 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Rider', 'Country', 'Team', 'Points', 'Wins'], ['10', 'Dave Bickers', 'United Kingdom', 'ΔZ', '1076', '0'], ['3', 'Torlief Hansen', 'Sweden', 'Husqvarna', '2052', '0'], ['16', 'Gary Jones', 'United States', 'Yamaha', '439', '0'], ['2', 'Adolf Weil', 'Germany', 'Maico', '2331', '2'], ['8', 'Gaston Rahier', 'B... | 2 | Answer: | 128 | 20 | 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:... | [['Season', 'Age', 'Overall', 'Slalom', 'Giant\\nSlalom', 'Super G', 'Downhill', 'Combined'], ['2005', '18', '37', 'β', '27', '18', '49', 'β'], ['2006', '19', '22', 'β', '18', '37', '15', 'β'], ['2004', '17', '112', 'β', 'β', '51', 'β', 'β'], ['2013', '26', '37', 'β', '17', '28', '30', 'β'], ['2007', '20', '33', 'β', '... | 2005 | 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:... | [['Contestant', 'Age', 'Height', 'Home City', 'Rank'], ['Alina Chlebecek', '18', '170\xa0cm (5\xa0ft 7 in)', 'Deutsch-Wagram', 'Eliminated in Episode 1'], ['Michaela Schopf', '21', '172\xa0cm (5\xa0ft 7.5 in)', 'Salzburg (originally from Germany)', 'Quit in Episode 4'], ['Melisa PopaniciΔ', '16', '175\xa0cm (5\xa0ft 9 ... | 5 | Answer: | 128 | 13 | 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:... | [['#', 'Player', 'Goals', 'Caps', 'Career'], ['6T', 'Bruce Murray', '21', '86', '1985β1993'], ['6T', 'Jozy Altidore', '21', '67', '2007βpresent'], ['3', 'Eric Wynalda', '34', '106', '1990β2000'], ['5', 'Joe-Max Moore', '24', '100', '1992β2002'], ['1', 'Landon Donovan', '57', '155', '2000βpresent'], ['4', 'Brian McBride... | Clint Dempsey | 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:... | [['Name', 'Country', 'Town', 'Height\\nmetres / ft', 'Structural type', 'Held record', 'Notes'], ['Chrysler Building', 'United States', 'New York City', '319 / 1,046', 'Skyscraper', '1930β1931', ''], ['Empire State Building', 'United States', 'New York City', '448 / 1,472', 'Skyscraper', '1931β1967', ''], ["St. Mary's ... | St. Mary's Church | Answer: | 128 | 12 | 538 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['State\\n(linked to\\nsummaries below)', 'Incumbent\\nSenator', 'Incumbent\\nParty', 'Incumbent\\nElectoral\\nhistory', 'Most recent election results', '2018 intent', 'Candidates'], ['Connecticut', 'Chris Murphy', 'Democratic', 'Chris Murphy (D) 54.8%\\nLinda McMahon (R) 43.1%\\nPaul Passarelli (L) 1.7%', '2012', '[D... | Independent | Answer: | 128 | 5 | 480 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Conference', 'Head Coach', 'Total Wins', 'Total Losses', 'Total Ties', 'Conference Wins', 'Conference Losses', 'Conference Ties', 'Conference Standing', 'Postseason Result'], ['1993', 'Southern', 'Charlie Taaffe', '5', '6', '0', '4', '4', '0', '4', 'β'], ['1939', 'Southern', 'Tatum Gressette', '3', '8', '0... | 1992 | Answer: | 128 | 11 | 552 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Description Losses', '1939/40', '1940/41', '1941/42', '1942/43', '1943/44', '1944/45', 'Total'], ['Deaths Outside of Prisons & Camps', '', '42,000', '71,000', '142,000', '218,000', '', '473,000'], ['Deaths In Prisons & Camps', '69,000', '210,000', '220,000', '266,000', '381,000', '', '1,146,000'], ['Murdered in East... | 504,000 | Answer: | 128 | 7 | 263 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Manufacturer', 'Model', 'Length (feet)', 'Quantity', 'Fleet Series', 'Fuel Propulsion', 'Powertrain'], ['2008', 'Van Hool', 'A300K', '30', '1', '5099', 'Diesel-electric hybrid', ''], ['2006', 'Van Hool', 'A300K', '30', '50', '5001-5050', 'Diesel', 'Cummins ISB\\nVoith D864.3E'], ['2008', 'Van Hool', 'A300L',... | 20 | Answer: | 128 | 11 | 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:... | [['Round', 'Date', 'Circuit', 'Winning driver (TA2)', 'Winning vehicle (TA2)', 'Winning driver (TA1)', 'Winning vehicle (TA1)'], ['7', 'August 19', 'Mosport', 'Greg Pickett', 'Chevrolet Corvette', 'Bob Tullius', 'Jaguar XJS'], ['6', 'August 13', 'Brainerd', 'Jerry Hansen', 'Chevrolet Monza', 'Bob Tullius', 'Jaguar XJS'... | 7 | Answer: | 128 | 10 | 426 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['1', 'Brazil', '7', '5', '3', '15'], ['9', 'Netherlands Antilles', '0', '0', '1', '1'], ['9', 'Panama', '0', '0', '1', '1'], ['3', 'Colombia', '2', '3', '4', '9'], ['9', 'Aruba', '0', '0', '1', '1'], ['Total', 'Total', '16', '16', '30', '62'], ['7', 'Ecuador', ... | Chile, Ecuador | Answer: | 128 | 13 | 267 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['11 Sep 1920', 'Plymouth Argyle', 'A', '1β5', 'Wolstenholme', '12,000'], ['28 Aug 1920', 'Reading', 'H', '0β1', '', '14,500'], ['2 Oct 1920', 'Exeter City', 'H', '2β0', 'Wolstenholme 2', '8,000'], ['18 Dec 1920', 'Brentford', 'A', '2β2', 'Wright, Thom... | 1 | Answer: | 128 | 17 | 520 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Series', 'Team', 'Races', 'Wins', 'Poles', 'F/Laps', 'Podiums', 'Points', 'Position'], ['2008', 'Asian Formula Renault Challenge', 'Champ Motorsports', '13', '0', '0', '0', '3', '193', '4th'], ['2009', 'Asian Formula Renault Challenge', 'Asia Racing Team', '12', '6', '2', '4', '7', '287', '2nd'], ['2012', ... | Carlin | 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:... | [['Rank', 'Country', 'Box Office', 'Year', 'Box office\\nfrom national films'], ['-', 'World', '$34.7 billion', '2012', 'β'], ['3', 'Japan', '$1.88 billion', '2013', '61% (2013)'], ['5', 'France', '$1.7 billion', '2012', '33.3% (2013)'], ['1', 'Canada/United States', '$10.8 billion', '2012', 'β'], ['4', 'United Kingdom... | 10 | Answer: | 128 | 13 | 321 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Frequency', 'Call sign', 'Name', 'Format', 'Owner', 'Target city/market', 'City of license'], ['94.3 FM', 'KDAM', 'The Dam', 'Mainstream Rock', 'Riverfront Broadcasting LLC', 'Yankton/Vermillion', 'Hartington'], ['104.1 FM', 'WNAX-FM', 'The Wolf 104.1', 'Country', 'Saga Communications', 'Yankton/Vermillion', 'Yankto... | Yankton | Answer: | 128 | 5 | 228 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Film', 'Film', 'Date'], ['Kodachrome 64', '110 format, daylight', '1974β1987'], ['Kodachrome-X film', '35\xa0mm (ASA 64)', '1962β1974'], ['Kodachrome II film', '35\xa0mm and 828, daylight (ASA 25/early) (ASA 64/late)', '1961β1974'], ['Kodachrome 64', '35\xa0mm, daylight', '1974β2009'], ['Kodachrome-X film', '126 for... | 1935 | Answer: | 128 | 18 | 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:... | [['Rd.', 'Event', 'Circuit', 'Location', 'Date', 'Winner'], ['6', 'Supercheap Auto Bathurst 1000', 'Mount Panorama Circuit', 'Bathurst, New South Wales', '8-11 Oct', 'Jonathon Webb'], ['5', 'Queensland House & Land 300', 'Queensland Raceway', 'Ipswich, Queensland', '21-23 Aug', 'Jonathon Webb'], ['1', 'Clipsal 500', 'A... | David Russell | Answer: | 128 | 7 | 268 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['2008', 'Olympic Games', 'Beijing, China', '10th', '5.45 m'], ['2006', 'World Junior Championships', 'Beijing, China', '5th', '5.30 m'], ['2014', 'World Indoor Championships', 'Sopot, Poland', '3rd', '5.80 m'], ['2012', 'Olympic Games', 'London, United Kingdom', ... | World Championships | Answer: | 128 | 11 | 296 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Model', '1991', '1995', '1996', '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013'], ['Ε koda Rapid', 'β', 'β', 'β', 'β', 'β', 'β', 'β', 'β', 'β', 'β', 'β', 'β', 'β', 'β', 'β', 'β', 'β', '1,700', '9,292', '103,800'], ['Ε koda Roomster'... | 460,252 | Answer: | 128 | 5 | 511 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Air/Ground', 'Number', 'Type', 'Status'], ['24 April 1944', 'South of Munich, Germany', 'Air', '3', 'Me-110', 'Destroyed'], ['27 May 1944', 'North of Strasbourg, France', 'Air', '1', 'Me-109', 'Damaged'], ['13 September 1944', 'South of Nordhausen, Germany', 'Air', '2.5', 'Me-109', 'Destroyed'], ... | Mig-15 | Answer: | 128 | 13 | 414 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Name', 'Sport', 'Event', 'Placing', 'Performance'], ["Ze'ev Friedman", 'Weightlifting', 'Bantamweight <56 kg', '12', 'J:102.5 C:102.5 S:125 T:330'], ['Zelig Stroch', 'Shooting', '50 metre rifle prone', '57', '589/600'], ['Henry Hershkowitz', 'Shooting', '50 metre rifle prone', '23', '593/600'], ['Dan Alon', 'Fencing... | Esther Shahamorov | Answer: | 128 | 14 | 521 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Result', 'Date', 'Category', 'Tournament', 'Surface', 'Partnering', 'Opponents', 'Score'], ['Runner-up', '22 April 1984', '$250,000', 'Amelia Island, United States', 'Clay', 'Mima JauΕ‘ovec', 'Kathy Jordan\\n Anne Smith', '4β6, 6β3, 4β6'], ['Runner-up', '30 August 1987', '$150,000', 'Mahwah, United States', 'Hard', '... | no | Answer: | 128 | 9 | 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:... | [['Season', 'Age', 'Overall', 'Slalom', 'Giant\\nSlalom', 'Super G', 'Downhill', 'Combined'], ['2010', '10 Mar 2010', 'Garmisch, Germany', 'Downhill', '', '', '', ''], ['2010', '23', '1', 'β', '2', '6', '2', '2'], ['2010', '5 Dec 2009', 'Beaver Creek, USA', 'Downhill', '', '', '', ''], ['2008', '21', '64', 'β', '28', '... | Giant Slalom | Answer: | 128 | 18 | 505 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Pick', 'Name', 'Position', 'College'], ['7', '254', 'Michael Green', 'S', 'Northwestern State'], ['2', '39', 'Mike Brown', 'S', 'Nebraska'], ['3', '69', 'Dez White', 'WR', 'Georgia Tech'], ['6', '174', 'Paul Edinger', 'K', 'Michigan State'], ['4', '125', 'Reggie Austin', 'DB', 'Wake Forest'], ['1', '9', 'Br... | S | Answer: | 128 | 9 | 175 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Number', 'Name', 'Term Started', 'Term Ended', 'Alma Mater', 'Field(s)', 'Educational Background'], ['7', 'Dr Abdul Majid', '1997', '2001', 'University of Wales', 'Astrophysics', 'Ph.D'], ['5', 'Dr M. Shafi Ahmad', '1989', '1990', 'University of London', 'Astronomy', 'Ph.D'], ['9', 'Major General Ahmed Bilal', '2010... | Ph.D | Answer: | 128 | 9 | 380 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Ship', 'Hull No.', 'Status', 'Years Active', 'NVR\\nPage'], ['Guadalupe', 'T-AO-200', 'Active', '1992βpresent', 'AO200'], ['Rappahannock', 'T-AO-204', 'Active', '1995βpresent', 'AO204'], ['John Ericsson', 'T-AO-194', 'Active', '1991βpresent', 'AO194'], ['Laramie', 'T-AO-203', 'Active', '1996βpresent', 'AO203'], ['Yu... | 18 | Answer: | 128 | 15 | 530 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Event', 'Notes'], ['2006', 'European Championships', 'Gothenburg, Sweden', '2nd', '400 m hurdles', '48.71'], ['2003', 'World Indoor Championships', 'Birmingham, United Kingdom', '3rd', '4x400 m relay', '3:06.61'], ['2004', 'Olympic Games', 'Athens, Greece', '10th (h)', '4x... | 5 | Answer: | 128 | 16 | 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:... | [['Represent', 'Candidate', 'in Russian', 'Age', 'Height', 'Hometown'], ['Tver Oblast', 'Anastasija PraΔeβvysky', 'ΠΠ½Π°ΡΡΠ°ΡΠΈΡ ΠΡΠ°ΡΠ΅ΡΠ²ΡΡΠΊΡ', '19', '1.75\xa0m (5\xa0ft 9\xa0in)', 'Tver'], ['Saratov Oblast', 'Anastasija Marnolova', 'ΠΠ½Π°ΡΡΠ°ΡΠΈΡ ΠΠ°ΡΠ½ΠΎΠ»ΠΎΠ²Π°', '21', '1.74\xa0m (5\xa0ft 8\xa01β2\xa0in)', 'Saratov'], ['Magadan Obl... | Alissa Joanndova | Answer: | 128 | 9 | 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:... | [['Season', 'Episodes', 'Season Premiere', 'Season Finale'], ['5', '40', 'October 12, 2009', 'June 14, 2010'], ['7', '8', 'October 29, 2013', 'December 17, 2013'], ['3', '44', 'October 15, 2007', 'June 2, 2008'], ['4', '48', 'October 13, 2008', 'May 11, 2009'], ['1', '20', 'March 4, 2006', 'May 13, 2006'], ['6', '20', ... | December 6, 2010 | Answer: | 128 | 7 | 184 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Partner', 'Opponents', 'Score'], ['Winner', '2.', '7 August 2011', 'Vancouver, Canada', 'Hard', 'KarolΓna PlΓΕ‘kovΓ‘', 'Jamie Hampton\\n N. Lertcheewakarn', '5β7, 6β2, 6β4'], ['Winner', '1.', '13 February 2011', 'Rancho Mirage, United States', 'Hard', 'KarolΓna PlΓΕ‘ko... | 1 | Answer: | 128 | 8 | 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:... | [['Pos', 'No.', 'Driver', 'Team', 'Laps', 'Time/Retired', 'Grid', 'Laps Led', 'Points'], ['3', '10', 'Dario Franchitti', 'Chip Ganassi Racing', '85', '+ 30.0551', '6', '0', '35'], ['21', '23', 'Milka Duno', 'Dreyer & Reinbold Racing', '56', 'Handling', '20', '0', '12'], ['4', '14', 'Ryan Hunter-Reay', 'A. J. Foyt Enter... | 18 | Answer: | 128 | 13 | 520 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Position', 'Officer', 'current officers', 'superseded by', 'Royal Household'], ['8', 'Earl Marshal', 'The Duke of Norfolk', '', 'Master of the Horse'], ['1', 'Lord High Steward', 'vacant', 'Justiciar', 'Lord Steward'], ['3', 'Lord High Treasurer', 'in commission', '', ''], ['5', 'Lord Privy Seal', 'The Rt Hon Andrew... | Justiciar | Answer: | 128 | 9 | 222 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Partner', 'Opponents', 'Score'], ['Winner', '4.', '30 January 2012', 'Grenoble, France', 'Hard (i)', 'KarolΓna PlΓΕ‘kovΓ‘', 'Valentyna Ivakhnenko\\n Maryna Zanevska', '6β1, 6β3'], ['Winner', '5.', '12 November 2012', 'Zawada, Poland', 'Carpet (i)', 'KarolΓna PlΓΕ‘kovΓ‘'... | KarolΓna PlΓΕ‘kovΓ‘ | Answer: | 128 | 8 | 519 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Pick #', 'NFL Team', 'Player', 'Position', 'College'], ['3', 'Baltimore Colts', 'Alan Ameche', 'Fullback', 'Wisconsin'], ['9', 'Philadelphia Eagles', 'Dick Bielski', 'Fullback', 'Maryland'], ['7', 'Los Angeles Rams', 'Larry Morris', 'Center', 'Georgia Tech'], ['12', 'Detroit Lions', 'Dave Middleton', 'Halfback', 'Au... | 2 | Answer: | 128 | 13 | 304 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Injuries (US $000)', 'Deaths (age <15)', 'CPSC toy safety funding\\n(US$ Millions)', 'Toy sales\\n(US $ Billions)'], ['2007', 'no data', '22', 'no data', ''], ['2002', '212', '13', '12.2', '21.3'], ['2005', '202 (estimate)', '20', '11.0', '22.2'], ['2009', 'no data', '12', 'no data', ''], ['2006', 'no data',... | 2003 | Answer: | 128 | 16 | 305 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Network name', 'Flagship', 'Programming type', 'Owner', 'Affiliates'], ['GalavisiΓ³n', 'XEQ 9', 'retro programming and sports', 'Televisa', '1'], ['Independent', '', 'varies', 'Independent', '3'], ['Azteca 13', 'XHDF 13', 'news, soap operas, and sports', 'TV Azteca', '4'], ['TV 10 Chiapas', 'XHTTG', 'educational', 'G... | 9 | Answer: | 128 | 7 | 209 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Division', 'League', 'Reg. Season', 'Playoffs'], ['2013', '1', 'USL W-League', '4th, Western', 'Did not qualify'], ['2005', '1', 'USL W-League', '6th, Western', ''], ['2006', '1', 'USL W-League', '5th, Western', ''], ['2004', '1', 'USL W-League', '8th, Western', ''], ['2010', '1', 'USL W-League', '6th, Weste... | 3 | Answer: | 128 | 11 | 267 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Score', 'Result', 'Record'], ['7', 'Oct 9', 'vs. Montreal Alouettes', '25β11', 'Loss', '1β7'], ['9', 'Oct 23', 'at Hamilton Tiger-Cats', '25β17', 'Loss', '1β10'], ['2', 'Sept 4', 'at Montreal Alouettes', '21β2', 'Loss', '0β2'], ['7', 'Oct 11', 'at Montreal Alouettes', '24β6', 'Loss', '1β8... | 4 | Answer: | 128 | 14 | 418 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Car', 'Start', 'Qual', 'Rank', 'Finish', 'Laps', 'Led', 'Retired'], ['1929', '23', '11', '112.146', '15', '17', '91', '0', 'Supercharger'], ['1935', '44', '6', '115.459', '11', '21', '102', '0', 'Magneto'], ['1934', '8', '7', '113.733', '13', '17', '94', '0', 'Rod'], ['1933', '34', '12', '113.578', '15', '7'... | 1926 | Answer: | 128 | 14 | 460 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 15', 'March 21β24, 2013', 'Hilton - Vancouver, WA', '1188', ''], ['GameStorm 16', 'March 20β23, 2014', 'Hilton - Vancouver, WA', 'tba', 'Guests: Mike Selinker, Shane Lacy Hensley, Lisa Steenson, Zev Shlasinger of Z-Man Games'], ['GameStorm 10', 'Ma... | 736 | 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', 'Team', 'Engine', 'Laps', 'Time/Retired', 'Grid', 'Laps Led', 'Points'], ['18', '28', 'Ryan Hunter-Reay', 'Andretti Autosport', 'Chevrolet', '84', '+ 1 lap', '7', '1', '12'], ['4', '8', 'Rubens Barrichello', 'KV Racing Technology', 'Chevrolet', '85', '+ 8.8529', '11', '0', '32'], ['1', '2', 'R... | Mike Conway | Answer: | 128 | 13 | 545 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Event'], ['2003', 'World Athletics Final', 'Monaco', '6th', '100 m hurdles'], ['1997', 'World Indoor Championships', 'Paris, France', '5th', '60 m hurdles'], ['2000', 'Olympic Games', 'Sydney, Australia', '3rd', '100 m hurdles'], ['2002', 'Grand Prix Final', 'Paris, France... | Athens, Greece | Answer: | 128 | 12 | 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:... | [['Year', 'Recipient', 'Nationality', 'Profession', 'Speech'], ['1999', 'A.M. Rosenthal', 'United States', 'Former New York Times editor\\nFormer New York Daily News columnist', ''], ['2003', 'Ruth Roskies Wisse', 'United States', 'Yiddish professor of Harvard University', '[2]'], ['1997', 'Elie Wiesel', 'United States... | 3 | Answer: | 128 | 14 | 377 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['', 'Name on the Register', 'Date listed', 'Location', 'City or town', 'Summary'], ['19', 'Plummer Homestead', 'June 14, 2002\\n(#02000638)', '1273 White Mountain Highway\\n43Β°27β²35β³N 70Β°59β²33β³W\ufeff / \ufeff43.459722Β°N 70.9925Β°W', 'Milton', ''], ['35', 'US Post Office-Dover Main', 'July 17, 1986\\n(#86002273)', '13... | 5 | Answer: | 128 | 6 | 470 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Team', 'Country', 'Division', 'Apps', 'Goals'], ['2013/14', 'Lokomotiv Moscow', 'Russia', '1', '14', '1'], ['2009/10', 'Dnipro Dnipropetrovsk', 'Ukraine', '1', '28', '0'], ['2005', 'CSKA Moscow', 'Russia', '1', '0', '0'], ['2010/11', 'Dnipro Dnipropetrovsk', 'Ukraine', '1', '23', '0'], ['2008/09', 'Dnipro ... | 1 | Answer: | 128 | 12 | 350 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Rider', 'Manufactuer', 'Time/Retired', 'Points'], ['8', 'Jean-Philippe Ruggia', 'Aprilia', '+3.985', '8'], ['Ret', 'Jean-Pierre Jeandat', 'Aprilia', 'Retirement', ''], ['Ret', 'Wilco Zeelenberg', 'Aprilia', 'Retirement', ''], ['Ret', 'Andreas Preining', 'Aprilia', 'Retirement', ''], ['13', 'Jochen Schmid', 'Y... | Doriano Romboni | Answer: | 128 | 23 | 514 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Stadium', 'Capacity', 'City/Area'], ['Hull Kingston Rovers (2014 season)', 'MS3 Craven Park', '9,471', 'Kingston upon Hull, East Riding of Yorkshire'], ['Widnes Vikings (2014 season)', 'The Select Security Stadium', '13,500', 'Widnes, Cheshire, England'], ['Wakefield Trinity Wildcats (2014 season)', 'Rapid S... | Wigan Warriors | Answer: | 128 | 14 | 432 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Festival', 'Location', 'Awards', 'Link'], ['Oct 9, Oct 11', 'Sitges Film Festival', 'Sitges, Catalonia\\n\xa0Spain', '', 'Sitges Festival'], ['Oct 9', 'London Int. Festival of Science Fiction Film', 'London, England\\n\xa0UK', 'Closing Night Film', 'Sci-Fi London'], ['Sep 19', 'Lund International Fantastic F... | 14 | Answer: | 128 | 14 | 514 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['4', '9', 'Denny Hulme', 'McLaren-Ford', '80', '+ 1:06.7', '8', '3'], ['DNQ', '28', 'Skip Barber', 'March-Ford', '', '', '', ''], ['2', '17', 'Ronnie Peterson', 'March-Ford', '80', '+ 25.6', '6', '6'], ['3', '4', 'Jacky Ickx', 'Ferrari'... | 4 | Answer: | 128 | 17 | 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:... | [['Period', 'Live births per year', 'Deaths per year', 'Natural change per year', 'CBR*', 'CDR*', 'NC*', 'TFR*', 'IMR*'], ['1965-1970', '229 000', '105 000', '124 000', '56.2', '25.8', '30.4', '7.32', '164'], ['2005-2010', '705 000', '196 000', '509 000', '49.5', '13.8', '35.7', '7.19', '96'], ['2000-2005', '614 000', ... | 1965-1970 | Answer: | 128 | 11 | 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:... | [['Outcome', 'No.', 'Date', 'Tournament', 'Surface', 'Opponent', 'Score'], ['Runner-up', '7.', '22 July 2012', 'Swiss Open, Switzerland', 'Clay', 'Thomaz Bellucci', '7β6(8β6), 4β6, 2β6'], ['Runner-up', '2.', '19 June 2010', 'UNICEF Open, Netherlands', 'Grass', 'Sergiy Stakhovsky', '3β6, 0β6'], ['Winner', '4.', '6 Janua... | Russia | Answer: | 128 | 10 | 510 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['7', 'Great Britain\xa0(GBR)', '0', '0', '1', '1'], ['7', 'France\xa0(FRA)', '0', '0', '1', '1'], ['2', 'Italy\xa0(ITA)', '1', '1', '1', '3'], ['4', 'Soviet Union\xa0(URS)', '1', '0', '0', '1'], ['1', 'Australia\xa0(AUS)', '2', '1', '0', '3'], ['5', 'Switzerlan... | 2 | Answer: | 128 | 8 | 203 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Thread\\nnominal size', 'Outer diameter\\n[mm (in)]', 'Threads per inch\\n(TPI)', 'Pitch\\n[in (mm)]', 'Inner diameter\\n[mm (in)]', 'Cable diameter\\n[mm (in)]'], ['PG21', '28.3 (1.114)', '16', '0.0625 (1.5875)', '26.78 (1.054)', '13 to 18 (0.512 to 0.709)'], ['PG13.5', '20.4 (0.803)', '18', '0.05556 (1.4112)', '19... | 2 | Answer: | 128 | 10 | 540 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Circuit', 'Winning driver (TA2)', 'Winning vehicle (TA2)', 'Winning driver (TA1)', 'Winning vehicle (TA1)'], ['2', 'June 4', 'Westwood', 'Ludwig Heimrath', 'Porsche 935', 'Nick Engels', 'Chevrolet Corvette'], ['4', 'June 25', 'Mont-Tremblant', 'Monte Sheldon', 'Porsche 935', 'Bob Tullius', 'Jaguar X... | USA | Answer: | 128 | 10 | 426 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['12.', 'Austria', '0', '0', '1', '1'], ['4.', 'Netherlands', '1', '1', '1', '3'], ['2.', 'United States', '9', '3', '6', '18'], ['7.', 'Germany', '0', '5', '1', '6'], ['10.', 'Switzerland', '0', '1', '1', '2'], ['6.', 'Estonia', '1', '0', '0', '1'], ['1.', 'Bra... | Yes | Answer: | 128 | 12 | 242 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Car', 'Start', 'Qual', 'Rank', 'Finish', 'Laps', 'Led', 'Retired'], ['1932', '25', '20', '108.896', '34', '13', '184', '0', 'Flagged'], ['1934', '8', '7', '113.733', '13', '17', '94', '0', 'Rod'], ['1927', '27', '27', '107.765', '22', '3', '200', '0', 'Running'], ['1929', '23', '11', '112.146', '15', '17', '... | 1928 | Answer: | 128 | 14 | 460 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['August 29', 'Anderlecht', 'Champions League', 'Qual. Round 3', 'Leg 2, Home', 'Fenerbahçe', 'Constant Vanden Stock Stadium, Anderlecht', '0-2'], ['September 20', 'Standard Liège', 'UEFA Cup', 'Round 1', 'Leg 1, Away', 'Zenit St. Peters... | 11 | Answer: | 128 | 10 | 520 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Golfer', 'Country', 'Wins', 'Match Play', 'Championship', 'Invitational', 'Champions'], ['Phil Mickelson', 'United States', '2', 'β', '1: 2009', 'β', '1: 2009'], ['Hunter Mahan', 'United States', '2', '1: 2012', 'β', '1: 2010', 'β'], ['Ian Poulter', 'England', '2', '1: 2010', 'β', 'β', '1: 2012'], ['Darren Clarke', ... | 22 | Answer: | 128 | 7 | 323 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'Country', 'Box Office', 'Year', 'Box office\\nfrom national films'], ['3', 'Japan', '$1.88 billion', '2013', '61% (2013)'], ['11', 'Italy', '$0.84 billion', '2013', '30% (2013)'], ['1', 'Canada/United States', '$10.8 billion', '2012', 'β'], ['9', 'Russia', '$1.2 billion', '2012', 'β'], ['6', 'South Korea', '... | $1.56 billion | Answer: | 128 | 13 | 321 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Restaurant', 'Location', 'Date Opened', 'Date Closed'], ['Maze by Gordon Ramsay', 'The Pearl-Qatar, Doha, Qatar', '2010', 'March 2012'], ['Maze / Maze Grill by Gordon Ramsay', 'Crown Metropol, Melbourne, Australia', 'March 2010', 'August 2011'], ['Cerise by Gordon Ramsay', 'Minato, Tokyo, Japan', '', '-'], ['Gordon ... | October 2011 | Answer: | 128 | 6 | 174 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | [['Position', 'Driver', 'No.', 'Car', 'Entrant', 'Lak.', 'Ora.', 'San.', 'Phi.', 'Total'], ['22', 'Shane Eklund', '', '', '', '10', '-', '-', '-', '10'], ['10', 'Des Wall', '', 'Toyota Supra', '', '15', '32', '-', '-', '47'], ['6', 'Danny Osborne', '', 'Mazda RX-7', '', '26', '10', '30', '-', "66'"], ['15', 'Gary Rowe'... | Mike Imrie | Answer: | 128 | 18 | 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:... | [['District', 'Location', 'Communities served'], ['Hershey Montessori Farm School', 'Huntsburg Township, Ohio', 'parent-owned, and chartered by Ohio Department of Education: application deadline January each year'], ["Saint Helen's School", 'Newbury, Ohio', 'Roman Catholic Diocese of Cleveland K - 8th grade; parishione... | Chester Township, Ohio | Answer: | 128 | 8 | 288 |
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