question stringlengths 3.14k 3.28k | context stringclasses 421
values | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 |
|---|---|---|---|---|
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['1 <Rank>', 'Alejandro Valverde\xa0(ESP) <Cyclist>', "Caisse d'Epargne <Team>", '5h 29\' 10" <Time>', '40 <UCI ProTour\\nPoints>'], ['2 <Rank>', 'Alexandr Kolobnev\xa0(RUS) <Cyclist>', 'Team CSC Saxo Bank <Team>', 's.t. <Time>', '30 <UCI ProTour\\nPoints>']... | Italy | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['Direct War Losses <Description Losses>', '360,000 <1939/40>', ' <1940/41>', ' <1941/42>', ' <1942/43>', ' <1943/44>', '183,000 <1944/45>', '543,000 <Total>'], ['Murdered <Description Losses>', '75,000 <1939/40>', '100,... | 100,000 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['1931 <Year>', '1 <Division>', 'ASL <League>', '6th (Fall) <Reg. Season>', 'No playoff <Playoffs>', 'N/A <National Cup>'], ['Spring 1932 <Year>', '1 <Division>', 'ASL <League>', '5th? <Reg. Season>', 'No playoff <Playoffs>', '1st Round <Nation... | 17 years | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['1 <Series #>', '1 <Season #>', '"The Charity" <Title>', "Alfie, Dee Dee, and Melanie are supposed to be helping their parents at a carnival by working the dunking booth. When Goo arrives and announces their favorite basketball player, Kendall Gill, is ... | January 26, 1995 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['31 October 2008 <Date>', '2008–09 World Cup <Competition>', 'Manchester <Location>', 'United Kingdom <Country>', 'Sprint <Event>', '1 <Placing>', 'Victoria Pendleton <Rider>', 'GBR <Nationality>'], ['31 October 2008 <Date>', ... | 17 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 <Year>', 'World Junior Championships <Competition>', 'Santiago, Chile <Venue>', '1st <Position>', 'Discus throw <Event>', '59.51 m <Notes>'], ['2003 <Year>', 'All-Africa Games <Competition>', 'Abuja, Nigeria <Venue>', '5th <Position>', 'Shot put <E... | World Junior Championships | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['2008 <Year>', 'Moggina Manasu <Film>', 'Chanchala <Role>', 'Kannada <Language>', 'Filmfare Award for Best Actress - Kannada\\nKarnataka State Film Award for Best Actress <Notes>'], ['2009 <Year>', 'Olave Jeevana Lekkachaara <Film>', 'Rukmini <Role>', 'Kannada <Language>... | 15 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['1 <Game>', 'Sunday <Day>', 'November 10 <Date>', '3:05pm <Kickoff>', 'at Las Vegas Legends <Opponent>', 'L 3–7 <Results\\nScore>', '0–1 <Results\\nRecord>', 'Orleans Arena <Location>', '1,836 <Attendance>... | 363 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['1977–1978 <Year>', ' <Kit Manufacturer>', 'National Express <Shirt Sponsor>', ' <Back of Shirt Sponsor>', ' <Short Sponsor>'], ['1982–1985 <Year>', 'Umbro <Kit Manufacturer>', ' <Shirt Sponsor>', ' <Back of Shirt Sponsor>', ' <S... | 1982-1985 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 <Year>', 'European Junior Championships <Competition>', 'Riga, Latvia <Venue>', '4th <Position>', '400 m hurdles <Event>', '52.17 <Notes>'], ['2000 <Year>', 'World Junior Championships <Competition>', 'Santiago, Chile <Venue>', '1st <Position>', '4... | 2000 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['1970 <Season>', 'Dallas Cowboys <Team>', '10–4 <Record>', 'Tom Landry* <Head Coach>', 'Craig Morton <Quarterback>', 'Duane Thomas <Leading Rusher>', 'Bob Hayes* <Leading Receiver>', 'Howley <All-... | 2004, 2005, 2006 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['Scot Bennett <Name>', '5 <League>', '0 <FA Cup>', '0 <League Cup>', '0 <JP Trophy>', '5 <Total>'], ['Danny Coles <Name>', '3 <League>', '0 <FA Cup>', '0 <League Cup>', '0 <JP Trophy>', '3 <Total>'], ['Liam Sercombe <Name>', '1 <League>', '0 <FA Cup>',... | John | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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', 'W–L'], ['Australian Open <Tournament>', 'A <2004>', '2R <2005>', '2R <2006>', '2R <2007>', '3R <2008>', '2R <2009>', '1R <2010>', '3R <2011>', '1R <2012>', '1R <2013>', '2R <2014>', '9–10 <W–L>'], ['French Open <Tou... | 440 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['Argus <Ship>', 'Steamer <Type of Vessel>', 'Lake Huron <Lake>', '25 miles off Kincardine, Ontario <Location>', '25 lost <Lives lost>'], ['James Carruthers <Ship>', 'Steamer <Type of Vessel>', 'Lake Huron <Lake>', 'near Kincardine <Location>', '18 lost <Li... | 7 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['NUL <name>', ' <glyph>', '\\\\0 <C string>', 'U+0000 <Unicode>', 'NULL (NUL) <Unicode name>'], ['alert <name>', ' <glyph>', '\\\\a <C string>', 'U+0007 <Unicode>', 'BELL (BEL) <Unicode name>'], ['backspace <name>', ' <glyph>', '\\\\b <C string>', 'U+0008 <Uni... | space | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['September 3 <Date>', 'Tennessee–Chattanooga* <Opponent#>', '#11 <Rank#>', 'Legion Field • Birmingham, AL <Site>', ' <TV>', 'W\xa042–13 <Result>', '82,109 <Attendance>'], ['September 10 <Date>', 'Vanderbilt <Opponent#>', '#11 <Rank#>', 'Bryant–Denn... | 68 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['1 <Pos>', 'Loris Capirossi <Rider>', 'Honda <Manufacturer>', '38:04.730 <Time/Retired>', '25 <Points>'], ['2 <Pos>', 'Valentino Rossi <Rider>', 'Aprilia <Manufacturer>', '+0.180 <Time/Retired>', '20 <Points>'], ['3 <Pos>', 'Jeremy McWilliams <Rider>', 'Apri... | Tomomi Manako | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['Feb 2–5, Feb 11 <Date>', 'Santa Barbara International Film Festival <Festival>', 'Santa Barbara, California \xa0USA <Location>', 'Top 11 "Best of the Fest" Selection <Awards>', 'sbiff.org <Link>'], ['May 21–22, Jun 11 <Date>', 'Seattle International Film Festival <... | 5 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['Alamance Regional Medical Center <Name>', 'Burlington <City>', '238 <Hospital beds>', '15 <Operating rooms>', '253 <Total>', '- <Trauma designation>', 'Cone <Affiliation>', '- <Notes>'], ['Albemarle Hospital ... | Vidant Bertie Hospital | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['Škoda Felicia <Model>', '172,000 <1991>', '210,000 <1995>', ' <1996>', '288,458 <1997>', '261,127 <1998>', '241,256 <1999>', '148,028 <2000>', '44... | 492,111 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['Runner-up <Outcome>', '1. <No.>', 'February 15, 1993 <Date>', 'Memphis, Tennessee, USA <Championship>', 'Hard (i) <Surface>', 'Jim Courier <Opponent in the final>', '7–5, 6–7(4–7), 6–7(4–7) <Score in the final>'], [... | 1 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 <Rank>', 'Brazil <Nation>', '7 <Gold>', '5 <Silver>', '3 <Bronze>', '15 <Total>'], ['2 <Rank>', 'Venezuela <Nation>', '3 <Gold>', '2 <Silver>', '8 <Bronze>', '13 <Total>'], ['3 <Rank>', 'Colombia <Nation>', '2 <Gold>', '3 <Silver>', '4 <Bronze>', '9 <Total>'... | Brazil | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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'], ['1 <Place>', 'Sylvain Geboers <Rider>', 'Belgium <Country>', 'Suzuki <Team>', '3066 <Points>', '3 <Wins>'], ['2 <Place>', 'Adolf Weil <Rider>', 'Germany <Country>', 'Maico <Team>', '2331 <Points>', '2 <Wins>'], ['3 <Place>', 'Torlief Hansen <Rider>', 'Sweden <C... | 7 | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 <Position>', 'US17 <Sail Number>', 'Sayonara <Yacht>', 'USA <State/Country>', 'Farr ILC Maxi <Yacht Type>', '24.13 <LOA\\n(Metres)>', 'Larry Ellison <Skipper>', '2:19:03:32 <Elapsed Time\\... | Brindabella | Answer: | 128 |
You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 <Match>', '2008.. <Date>', '[[]] <Venue>', '[[]] <Opponents>', '- <Score>'], ['GL-B-2 <Match>', '2008.. <Date>', '[[]] <Venue>', '[[]] <Opponents>', '- <Score>'], ['GL-B-3 <Match>', '2008.. <Date>', '[[]] <Venue>', '[[]] <Opponents>', '- <Score>'], ['GL-B-4 <M... | GL-B-6 | Answer: | 128 |
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