inputs stringlengths 676 15.9k | targets stringlengths 16 116 | _template_idx int64 0 9 | _task_source stringclasses 1
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You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Example solution: What team is Player Paul Coleman from?
Example explanation: The question is based on the information given in the table and can be answered from the given table.
Problem: Table: ['Party', 'First Duma', 'Second Duma', 'Third Duma', 'Fourth Duma']. ['Russian Social Democratic Party', '18 (Mensheviks)', '47 (Mensheviks)', '19 (Bolsheviks)', '15 (Bolsheviks)']. ['Socialist-Revolutionary Party', '-', '37', '-', '-']. ['Labour group', '136', '104', '13', '10']. ['Progressist Party', '27', '28', '28', '41']. ['Constitutional Democratic Party (Kadets)', '179', '92', '52', '57']. ['Non-Russian National Groups', '121', '-', '26', '21']. ['Centre Party', '-', '-', '-', '33']. ['Octobrist Party', '17', '42', '154', '95']. ['Nationalists', '60', '93', '26', '22']. ['Rightists', '8', '10', '147', '154']. ['TOTAL', '566', '453', '465', '448']
| Solution: what parties are there? | 5 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Q: Table: ['Place', 'Team', 'Titles', 'Runners-up', 'Winning Years']. ['1', 'Maccabi Tel Aviv', '5', '1', '2007, 2010, 2011, 2012, 2013']. ['2', 'Hapoel Jerusalem', '2', '3', '2008, 2009']. ['3', 'Ironi Ashkelon', '1', '0', '2006']. ['4', 'Maccabi Rishon LeZion', '0', '1', '']. ['4', 'Ironi Nahariya', '0', '1', '']. ['4', 'Hapoel Holon', '0', '1', '']. ['4', 'Maccabi Ashdod', '0', '1', '']
A: which israeli basketball league cup winning teams are shown?
****
Q: Table: ['Tie no', 'Home team', 'Score', 'Away team', 'Attendance']. ['1', 'Blackpool', '2-0', 'Rochdale', '']. ['2', 'Chesterfield', '1-1', 'Southend United', '']. ['replay', 'Southend United', '2 - 0', 'Chesterfield', '']. ['3', 'Canvey Island', '1-0', 'Northampton Town', '']. ['4', 'Macclesfield Town', '4-1', 'Swansea City', '']. ['5', 'Swindon Town', '3-2', 'Hereford United', '']. ['6', 'Tranmere Rovers', '6-1', 'Carlisle United', '']. ['7', 'Wycombe Wanderers', '3-0', 'Notts County', '']. ['8', 'Brighton & Hove Albion', '2-1', 'Rushden & Diamonds', '5,647']. ['9', 'Plymouth Argyle', '1-1', 'Bristol Rovers', '']. ['replay', 'Bristol Rovers', '3 - 2', 'Plymouth Argyle', '']. ['10', 'Hull City', '2-3', 'Oldham Athletic', '9,422']. ['11', 'Altrincham', '1-2', 'Darlington', '']. ['12', 'Exeter City', '0-0', 'Dagenham & Redbridge', '']. ['replay', 'Dagenham & Redbridge', '3 - 0', 'Exeter City', '']. ['13', 'Scunthorpe United', '3-2', 'Brentford', '']. ['14', 'Mansfield Town', '4-0', 'Huddersfield Town', '6,836']. ['15', 'Cardiff City', '3-0', 'Port Vale', '']. ['16', 'Halifax Town', '1-1', 'Stoke City', '3,335']. ['replay', 'Stoke City', '3 - 0', 'Halifax Town', '4,356']. ['17', 'York City', '2-0', 'Reading', '']. ['18', 'Peterborough United', '1-0', 'Bournemouth', '']. ['19', 'Leyton Orient', '2-1', 'Lincoln City', '']. ['20', 'Hinckley United', '0-2', 'Cheltenham Town', '']
A: who are all the home teams?
****
Q: Table: ['Year', 'Competition', 'Venue', 'Position', 'Event', 'Notes']. ['1999', 'Universiade', 'Palma de Mallorca, Spain', '2nd', '20 km', '1:25:23']. ['2001', 'European Race Walking Cup', 'Dudince, Slovakia', '12th', '20 km', '1:22:10']. ['2001', 'World Championships', 'Edmonton, Canada', '16th', '20 km', '1:25:28']. ['2001', 'Universiade', 'Beijing, China', '1st', '20 km', '1:24:42']. ['2002', 'European Championships', 'Munich, Germany', '9th', '20 km', '1:21:21']. ['2002', 'World Race Walking Cup', 'Turin, Italy', '12th', '20 km', '']. ['2003', 'World Championships', 'Paris, France', '11th', '20 km', '1:20:34 PB']. ['2005', 'World Championships', 'Helsinki, Finland', '14th', '20 km', '']
A: | what years did lorenzo civallero race?
****
| 4 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Input: Consider Input: Table: ['Rank', 'Lane', 'Name', 'Nationality', 'Time', 'Notes']. ['', '4', 'Sophie Pascoe', 'New Zealand', '2:25.65', 'WR']. ['', '5', 'Summer Ashley Mortimer', 'Canada', '2:32.08', '']. ['', '3', 'Zhang Meng', 'China', '2:33.95', 'AS']. ['4', '6', 'Katherine Downie', 'Australia', '2:34.64', '']. ['5', '2', 'Nina Ryabova', 'Russia', '2:35.65', '']. ['6', '8', 'Aurelie Rivard', 'Canada', '2:37.70', '']. ['7', '7', 'Harriet Lee', 'Great Britain', '2:39.42', '']. ['8', '1', 'Gemma Almond', 'Great Britain', '2:42.16', '']
Output: who participated in the women's 200 metre individual medley sm10?
Input: Consider Input: Table: ['Place', 'Position', 'Number', 'Name', 'NASL', 'Playoffs', 'CFU Club Championship', 'CONCACAF Champions League', 'Total']. ['1', 'FW', '11', 'Nicholas Addlery', '9', '0', '0', '1', '10']. ['2', 'FW', '9', 'Jonathan Fana', '4', '0', '4', '0', '8']. ['3', 'FW', '7', 'David Foley', '6', '1', '0', '0', '7']. ['3', 'FW', '24', 'Hector Ramos', '3', '0', '2', '2', '7']. ['5', 'DF', '33', 'Jay Needham', '3', '0', '0', '0', '3']. ['5', 'FW', '22', 'Gregory Richardson', '1', '0', '1', '1', '3']. ['7', 'MF', '20', 'Josh Hansen', '0', '0', '2', '0', '2']. ['7', '', '', 'Own Goal', '0', '0', '2', '0', '2']. ['9', 'DF', '3', 'Richard Martinez', '1', '0', '0', '0', '1']. ['9', 'DF', '16', 'Anthony Vazquez', '1', '0', '0', '0', '1']. ['9', 'DF', '5', 'Noah Delgado', '1', '0', '0', '0', '1']. ['9', 'MF', '14', 'Jarad Van Schaik', '1', '0', '0', '0', '1']. ['9', 'MF', '17', 'Tyler Wilson', '1', '0', '0', '0', '1']. ['9', 'MF', '24', 'Justin Fojo', '1', '0', '0', '0', '1']. ['', '', '', 'TOTALS', '32', '1', '11', '4', '48']
Output: who were the forward position players?
Input: Consider Input: Table: ['Rank', 'Nation', 'Gold', 'Silver', 'Bronze', 'Total']. ['1', 'Russia (RUS)', '3', '1', '1', '5']. ['2', 'Canada (CAN)', '2', '0', '0', '2']. ['3', 'Germany (GER)', '1', '3', '2', '6']. ['4', 'France (FRA)', '0', '1', '2', '3']. ['5', 'Belarus (BLR)', '0', '1', '0', '1']. ['6', 'Ukraine (UKR)', '0', '0', '1', '1']. ['', 'Total', '6', '6', '6', '18']
| Output: what are all the countries in the 1994 winter olympics biathlon?
| 2 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Input: Consider Input: Table: ['Institution', 'Location', 'Enrollment', 'Nickname', 'Varsity Sports', 'Rugby Since', 'Head Coach']. ['Clemson University', 'Clemson, South Carolina', '20,576', 'Tigers', '19', '1967', 'Justin Hickey']. ['Maryland', 'College Park, Maryland', '37,641', 'Terrapins', '20', '1968', 'Jeff Soeken']. ['Navy', 'Annapolis, Maryland', '4,576', 'Midshipmen', '30', '1963', 'Mike Flanagan']. ['North Carolina', 'Chapel Hill, North Carolina', '29,340', 'Tar Heels', '28', '1966', 'Pete Earsman']. ['North Carolina State', 'Raleigh, North Carolina', '34,767', 'Wolfpack', '25', '1965', 'Jim Latham']. ['University of Virginia', 'Charlottesville, Virginia', '20,895', 'Cavaliers', '25', '1961', 'Jon Roberts']. ['Virginia Tech', 'Blacksburg, Virginia', '30,379', 'Hokies', '21', '1891 / 1968', 'Andy Richards']. ['Wake Forest', 'Winston-Salem, North Carolina', '7,079', 'Demon Deacons', '18', '1973', 'Patrick Kane']
Output: what are all the schools?
Input: Consider Input: Table: ['', 'Name', 'Nation', 'Points', 'Games', 'Pts/game']. ['1', 'Karen Andrew', 'England', '44', '5', '8.8']. ['2', 'Daniella Waterman', 'England', '40', '5', '8']. ['3', 'Christelle Le Duff', 'France', '33', '5', '6.6']. ['4', 'Charlotte Barras', 'England', '30', '5', '6']. ['5', 'Naomi Thomas', 'Wales', '25', '5', '5']. ['6', 'Susan Day', 'England', '20', '5', '4']. ['7', 'Lucy Millard', 'Scotland', '20', '5', '4']. ['8', 'Veronica Schiavon', 'Italy', '19', '4', '4.75']. ['9', 'Estelle Sartini', 'France', '17', '5', '3.4']. ['10', 'Margaret Alphonsie', 'England', '15', '5', '3']. ['11', 'Fanny Horta', 'France', '15', '5', '3']. ['12', 'Jeannette Feighery', 'Ireland', '15', '5', '3']. ['13', 'Non Evans', 'Wales', '14', '3', '4.67']. ['14', 'Lynsey Harley', 'Scotland', '12', '2', '6']. ['15', 'Delphine Plantet', 'France', '10', '5', '2']. ['16', "Joanne O'Sullivan", 'Ireland', '10', '5', '2']. ['17', 'Katy McLean', 'England', '9', '3', '3']. ['18', 'Michela Tondinelli', 'Italy', '6', '5', '1.2']. ['19', 'Georgia Stevens', 'England', '5', '5', '1']. ['20', 'Mel Berry', 'Wales', '5', '5', '1']
Output: how many points were scored by the top scorer here?
Input: Consider Input: Table: ['Rank', 'Nation', 'Gold', 'Silver', 'Bronze', 'Total']. ['1', 'Japan', '5', '2', '0', '7']. ['2', 'China', '4', '3', '2', '9']. ['3', 'South Korea', '0', '3', '1', '4']. ['4', 'North Korea', '0', '1', '0', '1']. ['5', 'Chinese Taipei', '0', '0', '3', '3']. ['5', 'Thailand', '0', '0', '3', '3']. ['Total', 'Total', '9', '9', '9', '27']
| Output: which nations participated?
| 2 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
--------
Question: Table: ['', 'Name', 'Date of birth', 'Height', 'Weight', 'Spike', 'Block', '2008 club']. ['1', 'Oliveira Walewska', '1 October 1979', '1.90 m (6 ft 3 in)', '73 kg (161 lb)', '310 cm (120 in)', '290 cm (110 in)', 'CAV Murcia']. ['2', 'Carolina Albuquerque', '25 July 1977', '1.82 m (6 ft 0 in)', '76 kg (168 lb)', '289 cm (114 in)', '279 cm (110 in)', 'Finasa']. ['3', 'Marianne Steinbrecher', '23 August 1983', '1.88 m (6 ft 2 in)', '70 kg (150 lb)', '310 cm (120 in)', '290 cm (110 in)', 'Scavolini Pesaro']. ['4', 'Paula Pequeno', '22 January 1982', '1.84 m (6 ft 0 in)', '74 kg (163 lb)', '302 cm (119 in)', '285 cm (112 in)', 'Finasa']. ['6', 'Thaisa Menezes', '15 May 1987', '1.96 m (6 ft 5 in)', '79 kg (174 lb)', '316 cm (124 in)', '301 cm (119 in)', 'Rexona Ades']. ['7', 'Helia Souza', '3 October 1970', '1.73 m (5 ft 8 in)', '63 kg (139 lb)', '283 cm (111 in)', '264 cm (104 in)', 'CAV Murcia']. ['8', 'Valeska Menezes', '23 April 1976', '1.80 m (5 ft 11 in)', '62 kg (137 lb)', '302 cm (119 in)', '290 cm (110 in)', 'Asystel Novara']. ['9', 'Fabiana Claudino', '24 January 1984', '1.93 m (6 ft 4 in)', '76 kg (168 lb)', '314 cm (124 in)', '293 cm (115 in)', 'Rexona Ades']. ['10', 'Welissa Gonzaga', '9 September 1982', '1.79 m (5 ft 10 in)', '76 kg (168 lb)', '300 cm (120 in)', '287 cm (113 in)', 'Rexona Ades']. ['12', 'Jacqueline Carvalho', '31 December 1983', '1.86 m (6 ft 1 in)', '70 kg (150 lb)', '302 cm (119 in)', '286 cm (113 in)', 'CAV Murcia']. ['13', 'Sheilla Castro', '1 July 1983', '1.85 m (6 ft 1 in)', '64 kg (141 lb)', '302 cm (119 in)', '284 cm (112 in)', 'Scavolini Pesaro']. ['14', 'Fabiana de Oliveira', '7 March 1980', '1.69 m (5 ft 7 in)', '59 kg (130 lb)', '276 cm (109 in)', '266 cm (105 in)', 'Rexona Ades']
Answer: what are all of the names?
Question: Table: ['Language', 'Totora Municipality', 'Pojo Municipality', 'Pocona Municipality', 'Chimore Municipality', 'Puerto Villarroel Municipality', 'Entre Rios Municipality']. ['Quechua', '11,671', '10,203', '12,482', '9,596', '29,940', '14,789']. ['Aymara', '72', '74', '39', '965', '1,590', '907']. ['Guarani', '7', '9', '3', '19', '39', '41']. ['Another native', '16', '9', '6', '424', '235', '27']. ['Spanish', '4,967', '4,991', '4,954', '11,530', '29,377', '17,164']. ['Foreign', '32', '15', '22', '128', '199', '142']. ['Only native', '7,060', '5,623', '7,706', '2,518', '8,131', '3,207']. ['Native and Spanish', '4,645', '4,598', '4,790', '7,811', '22,426', '11,864']. ['Only Spanish', '322', '393', '166', '3,726', '6,956', '5,314']
Answer: which languages are spoken in carrasco province?
Question: Table: ['Tribunal', 'Number of autos da fe', 'Executions in persona', 'Executions in effigie', 'Penanced', 'Total']. ['Barcelona', '8', '1', '1', '15', '17']. ['Logrono', '1', '1', '0', '0?', '1?']. ['Palma de Mallorca', '3', '0', '0', '11', '11']. ['Saragossa', '1', '0', '0', '3', '3']. ['Valencia', '4', '2', '0', '49', '51']. ['Las Palmas', '0', '0', '0', '0', '0']. ['Cordoba', '13', '17', '19', '125', '161']. ['Cuenca', '7', '7', '10', '35', '52']. ['Santiago de Compostela', '4', '0', '0', '13', '13']. ['Granada', '15', '36', '47', '369', '452']. ['Llerena', '5', '1', '0', '45', '46']. ['Madrid', '4', '11', '13', '46', '70']. ['Murcia', '6', '4', '1', '106', '111']. ['Seville', '15', '16', '10', '220', '246']. ['Toledo', '33', '6', '14', '128', '148']. ['Valladolid', '10', '9', '2', '70', '81']. ['Total', '125', '111', '117', '1235', '1463']
Answer: | what are all of the executions in effigie values during the spanish inquisition?
| 7 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Input: Consider Input: Table: ['Place', 'Player', 'Country', 'Score', 'To par', 'Money ($)']. ['1', 'Larry Nelson', 'United States', '70-66-66-71=273', '-7', '60,000']. ['2', 'Fuzzy Zoeller', 'United States', '70-68-68-71=277', '-3', '40,000']. ['3', 'Dan Pohl', 'United States', '69-67-73-69=278', '-2', '25,000']. ['T4', 'Isao Aoki', 'Japan', '75-68-66-70=279', '-1', '13,146']. ['T4', 'Keith Fergus', 'United States', '71-71-69-68=279', '-1', '13,146']. ['T4', 'Bob Gilder', 'United States', '74-69-70-66=279', '-1', '13,146']. ['T4', 'Tom Kite', 'United States', '71-67-69-72=279', '-1', '13,146']. ['T4', 'Bruce Lietzke', 'United States', '70-70-71-68=279', '-1', '13,146']. ['T4', 'Jack Nicklaus', 'United States', '71-68-71-69=279', '-1', '13,146']. ['T4', 'Greg Norman', 'Australia', '73-67-68-71=279', '-1', '13,146']
Output: who are the players in the 1981 pga championship?
Input: Consider Input: Table: ['Name', 'Position', 'Year', 'League apps', 'League goals', 'Total apps', 'Total goals', 'Notes']. ['Walter Langton', 'LB / CF', '1887-1905', '45', '28', '48', '48', "Doncaster's longest serving player Appearance stats don't include seasons 1887-1901 nor 1903-04 which are likely to put his total appearances over 400"]. ['Tom Keetley', 'FW', '1923-1929', '231', '180', '241', '186', 'Record all time goalscorer. Most goals in one game - 6 v Ashington in 1929']. ['Fred Emery', 'WH', '1924-1936', '417', '30', '439', '32', 'Record league appearances Manager of Doncaster 1936-1940']. ['Paddy McConnell', 'IF', '1925-1930', '137', '20', '143', '21', 'The first current Doncaster player to represent his country at international level, Paddy played for Ireland']. ['Syd Bycroft', 'DF', '1936-1951', '333', '2', '355', '2', 'Including Wartime League matches, he played 501 games for Doncaster giving him the overall all-time record number of appearances. Joint manager of Doncaster January-June 1958']. ['Eddie Perry', 'CF', '1936-1938?', '98', '44', '102', '?', 'Welsh international whilst at Doncaster']. ['Clarrie Jordan', 'FW', '1945-1948', '60', '48', '67', '50', 'Most Doncaster league goals in one season (42 in 1946/47)']. ['Charlie Williams', 'DF', '1948-1959', '158', '1', '174', '1', 'Famous comedian']. ['Peter Doherty', 'IF', '1949-1953', '103', '55', '109', '58', 'Ireland international player and manager of Northern Ireland whilst at Doncaster Manager of Doncaster 1949-1958 (PM until 1953)']. ['Len Graham', 'MF', '1949-1958', '312', '3', '332', '3', 'Northern Ireland international whilst at Doncaster']. ['Kit Lawlor', 'IF', '1950-1954', '127', '47', '143', '49', 'Republic of Ireland international whilst at Doncaster']. ['Harry Gregg', 'GK', '1952-1957', '94', '0', '99', '0', 'Northern Ireland international whilst at Doncaster. Hero of the Munich air disaster']. ['Alick Jeffrey', 'FW', '1954-1956, 1963-1968', '262', '129', '293', '140', 'Youngest Doncaster player (15 years 229 days v Fulham, 15 September 1954).']. ['Colin Douglas', 'FW', '1981-1986, 1988-1993', '404', '53', '444', '62', 'Record total appearances (not including the Wartime League games). Forward in his first spell, fullback in his second']. ['Brian Stock', 'MF', '2006-2012', '193', '18', '216', '23', 'Welsh international whilst at Doncaster']. ['Billy Sharp', 'FW', '2009-2012, 2014-', '92', '44', '96', '45', 'Record Transfer Fee Paid: PS1,150,000']
Output: who are all the players?
Input: Consider Input: Table: ['#', 'Title', 'Producer(s)', 'Performer (s)', 'Time']. ['1', 'I See Dead People', 'PHD', 'Grand Puba, Lord Jamar, Rell', '4:26']. ['2', 'Hunny', 'Grant Parks', 'Grand Puba', '4:04']. ['3', 'It Is What It Is', 'PHD', 'Grand Puba, Tiffani Davis', '5:03']. ['4', 'How Long?', 'Elements', 'Grand Puba', '3:22']. ['5', 'Good To Go', 'Q-Tip', 'Grand Puba, Q-Tip', '3:53']. ['6', 'Same Old Drama', 'Large Professor', 'Grand Puba, Large Professor', '1:29']. ['7', 'Get That Money', 'PHD', 'Grand Puba', '3:29']. ['8', 'This Joint Right Here', 'Grand Puba', 'Grand Puba, Kid Capri', '3:17']. ['9', 'Go Hard', 'Grand Puba', 'Grand Puba, Talee', '3:35']. ['10', 'Reality Check', 'PHD', 'Grand Puba, Sarah Martinez', '3:09']. ['11', 'Cold Cold World', 'Grand Puba', 'Grand Puba, Khadija Mohamed', '3:31']. ['12', 'Smile', 'Big Throwback', 'Grand Puba, Big Phill', '1:55']. ['13', 'The Joint Right Here (Remix)', 'Grand Puba', 'Grand Puba, Kid Capri, Lord Jamar, Sadat X', '3:23']
| Output: which producers had under 2.00 of time?
| 2 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Solution: What team is Player Paul Coleman from?
Why? The question is based on the information given in the table and can be answered from the given table.
New input: Table: ['#', 'Date', 'Film', 'Gross', 'Top Ten Places']. ['1', 'January 5, 2014', 'Frozen', '$2,441,278', "Paranormal Activity: The Marked Ones (#2), Ender's Game (#5)"]. ['2', 'January 12, 2014', 'Frozen', '$1,193,153', 'The Wolf of Wall Street (#3)']. ['3', 'January 19, 2014', '?Que le Dijiste a Dios?', '$1,607,603', 'Jack Ryan: Shadow Recruit (#2), American Hustle (#4), The Book Thief (#7), Khumba (#9)']. ['4', 'January 26, 2014', 'I, Frankenstein', '$2,017,410', 'Grudge Match (#10)']. ['5', 'February 2, 2014', '47 Ronin', '$1,916,620', "Devil's Due (#2)"]. ['6', 'February 9, 2014', 'The Lego Movie', '$3,823,198', 'The Legend of Hercules (#4), Thanks for Sharing (#8), Dallas Buyers Club (#10)']. ['7', 'February 16, 2014', 'Casese Quien Pueda', '$3,287,643', "RoboCop (#2), The Monuments Men (#4), Winter's Tale (#7)"]. ['8', 'February 23, 2014', 'Casese Quien Pueda', '$2,228,705', 'Pompeii (#3), 12 Years a Slave (#5), Saving Mr. Banks (#7)']. ['9', 'March 2, 2014', 'Mr. Peabody & Sherman', '$2,687,778', 'Fachon Models (#6), August: Osage County (#8), Lone Survivor (#10)']. ['10', 'March 9, 2014', '300: Rise of an Empire', '$5,468,513', 'Homefront (#8), Zip & Zap and the Marble Gang (#10)']. ['11', 'March 16, 2014', '300: Rise of an Empire', '$2,891,351', 'El Crimen del Cacaro Gumaro (#2), Need for Speed (#3), Tarzan (#4), Labor Day (#8)']. ['12', 'March 23, 2014', 'Noah', '$5,743,388', 'Muppets Most Wanted (#3)']. ['13', 'March 30, 2014', 'Captain America: The Winter Soldier', '$8,596,889', '']
Solution: | which movies were number one box office films in mexico in 2014? | 0 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example Input: Table: ['Rank', 'Heat', 'Country', 'Cyclists', 'Result', 'Notes']. ['1', '6', 'Great Britain', 'Chris Hoy Jason Kenny Jamie Staff', '42.950', 'Q, WR']. ['2', '7', 'France', 'Gregory Bauge Kevin Sireau Arnaud Tournant', '43.541', 'Q']. ['3', '6', 'Germany', 'Rene Enders Maximilian Levy Stefan Nimke', '44.197', 'Q']. ['4', '7', 'Netherlands', 'Theo Bos Teun Mulder Tim Veldt', '44.213', 'Q']. ['5', '5', 'Australia', 'Daniel Ellis Mark French Shane Kelly', '44.335', 'Q']. ['6', '1', 'Japan', 'Kiyofumi Nagai Tomohiro Nagatsuka Kazunari Watanabe', '44.454', 'Q']. ['7', '3', 'Malaysia', 'Azizulhasni Awang Josiah Ng Mohd Rizal Tisin', '44.752', 'Q']. ['8', '2', 'United States', 'Michael Blatchford Adam Duvendeck Giddeon Massie', '45.346', 'Q']. ['9', '4', 'China', 'Feng Yong Li Wenhao Zhang Lei', '45.556', '']. ['10', '3', 'Greece', 'Athanasios Mantzouranis Vasileios Reppas Panagiotis Voukelatos', '45.645', '']. ['11', '2', 'Czech Republic', 'Tomas Babek Adam Ptacnik Denis Spicka', '45.678', '']. ['12', '5', 'Russia', 'Sergey Polynskiy Denis Dmitriev Sergey Kucherov', '45.964', '']. ['13', '1', 'Poland', 'Maciej Bielecki Kamil Kuczynski Lukasz Kwiatkowski', '45.266', '']
Example Output: christ hoy jason kenny jamie staff finished cycling in how many seconds?
Example Input: Table: ['#', 'Title', 'Time', 'Lead Vocals', 'Notes']. ['1.', 'Savior More than Life', '6:44', 'Keisha Grandy', '']. ['2.', "Whatcha Lookin' 4", '4:25', "Darrell Blair, Dalon Collins, Tamela Mann, Kirk Franklin; Background Vocals - God's Property", '']. ['3.', 'Melodies from Heaven', '4:34', 'The Family', '']. ['4.', 'Conquerors', '8:24', 'Dalon Collins', '']. ['5.', "Don't Take Your Joy Away", '6:33', 'Tamela Mann', '']. ['6.', 'When I Think About Jesus', '1:38', '', '']. ['7.', "Mama's Song", '4:16', 'Kirk Franklin', '']. ['8.', 'Jesus Paid it All', '5:04', 'Kirk Franklin, Darrell Blair, Dalon Collins', '']. ['9.', 'I Love You Jesus', '7:25', 'Teresa Young, Stephanie Glynn, Sheila Brice', '']. ['10.', 'Washed Away', '5:20', 'Jeannette Johnson, Carrie Young-Davis', '']. ['11.', 'Where the Spirit Is', '4:03', 'Jon Drummond', '']. ['12.', 'Let Me Touch You', '5:26', 'Dalon Collins', '']. ['13.', 'Anything 4 U', '5:08', 'David Mann, Yolanda McDonald, Demetrice Clinkscale, Darrel Blair', '']. ['14.', "Whatcha Lookin' 4 (remix)", '4:36', 'Kirk Franklin, Dalon Collins, David Mann, & Tamela Mann', 'Drum & Synth programming - Buster & Shavoni Mixed by Craig Burbridge, Buster & Shavoni, Dalon Collins, Tamela Mann, David Mann, Chris Simpson,farrell mannings']. ['15.', 'Melodies from Heaven (skate remix)', '4:18', 'Kirk Franklin', 'Drum & Synth programming - Buster & Shavoni Mixed by Craig Burbridge, Buster & Shavoni']
Example Output: what are all the titles?
Example Input: Table: ['Rank', 'Lane', 'Name', 'Nationality', 'Time', 'Notes']. ['', '4', 'Sophie Pascoe', 'New Zealand', '2:25.65', 'WR']. ['', '5', 'Summer Ashley Mortimer', 'Canada', '2:32.08', '']. ['', '3', 'Zhang Meng', 'China', '2:33.95', 'AS']. ['4', '6', 'Katherine Downie', 'Australia', '2:34.64', '']. ['5', '2', 'Nina Ryabova', 'Russia', '2:35.65', '']. ['6', '8', 'Aurelie Rivard', 'Canada', '2:37.70', '']. ['7', '7', 'Harriet Lee', 'Great Britain', '2:39.42', '']. ['8', '1', 'Gemma Almond', 'Great Britain', '2:42.16', '']
Example Output: | who participated in the women's 200 metre individual medley sm10?
| 3 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example input: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Example output: What team is Player Paul Coleman from?
Example explanation: The question is based on the information given in the table and can be answered from the given table.
Q: Table: ['Rank', 'Title', 'Studio', 'Director', 'Actors', 'Gross']. ['1.', 'The Sound of Music*', '20th Century Fox', 'Robert Wise', 'Julie Andrews, Christopher Plummer, Charmian Carr, Nicholas Hammond, Heather Menzies, Duane Chase, Angela Cartwright, Debbie Turner, Kym Karath, Richard Haydn, Peggy Wood, Eleanor Parker, Anna Lee, Portia Nelson, Marni Nixon, Daniel Truhitte, Ben Wright', '$163,214,286']. ['2.', 'Doctor Zhivago*', 'Metro-Goldwyn-Mayer', 'David Lean', 'Omar Sharif, Julie Christie, Rod Steiger, Geraldine Chaplin, Alec Guinness, Ralph Richardson, Tom Courtenay, Siobhan McKenna, Rita Tushingham', '$111,721,910']. ['3.', 'Thunderball', 'United Artists', 'Terence Young', 'Sean Connery, Claudine Auger, Adolfo Celi, Luciana Paluzzi, Rik Van Nutter, Desmond Llewelyn, Bernard Lee', '$63,595,658']. ['4.', 'Those Magnificent Men in their Flying Machines', '20th Century Fox', 'Ken Annakin', 'Stuart Whitman, Sarah Miles, James Fox, Terry-Thomas, Robert Morley, Alberto Sordi, Gert Frobe, Jean-Pierre Cassel, Irina Demick, Red Skelton, Yujiro Ishihara, Karl Michael Vogler, Dame Flora Robson, Sam Wanamaker, Gordon Jackson', '$31,111,111']. ['5.', 'That Darn Cat!', 'Walt Disney Productions', 'Robert Stevenson', 'Hayley Mills, Dean Jones, Dorothy Provine, Roddy McDowell, Neville Brand, Frank Gorshin, Grayson Hall, Elsa Lanchester, William Demarest, Ed Wynn', '$28,068,222']. ['6.', 'The Great Race', 'Warner Bros. Pictures', 'Blake Edwards', "Tony Curtis, Jack Lemmon, Natalie Wood, Peter Falk, Keenan Wynn, Larry Storch, Dorothy Provine, Arthur O'Connell, Vivian Vance, Ross Martin, George Macready", '$25,333,333']. ['7.', 'Cat Ballou', 'Columbia Pictures', 'Elliot Silverstein', 'Jane Fonda, Lee Marvin, Michael Callan, Dwayne Hickman, Nat King Cole, Stubby Kaye', '$20,666,667']. ['8.', "What's New Pussycat?", 'United Artists', 'Clive Donner', "Peter Sellers, Peter O'Toole, Ursula Andress, Romy Schneider, Capucine, Woody Allen, Paula Prentiss", '$18,820,000']. ['9.', 'Shenandoah', 'Universal Pictures', 'Andrew V. McLaglen', 'James Stewart, Doug McClure, Glenn Corbett, Patrick Wayne, Katharine Ross, Rosemary Forsyth', '$17,268,889']. ['10.', "Von Ryan's Express", '20th Century Fox', 'Mark Robson', 'Frank Sinatra, Trevor Howard, Raffaella Carra, Brad Dexter, Sergio Fantoni, John Leyton, Edward Mulhare, Wolfgang Preiss, James Brolin, John van Dreelen, Adolfo Celi', '$17,111,111']. ['11.', 'The Greatest Story Ever Told', 'United Artists', 'George Stevens', 'Max von Sydow, Jose Ferrer, Van Heflin, Charlton Heston, David McCallum, Roddy McDowell, Dorothy McGuire, Sal Mineo, Donald Pleasence, Sidney Poitier, Claude Rains, Telly Savalas, John Wayne, Shelley Winters, Ed Wynn, Carroll Baker, Martin Landau, Angela Lansbury', '$15,473,333']. ['12.', 'For a Few Dollars More', 'United Artists', 'Sergio Leone', 'Clint Eastwood, Lee Van Cleef, Gian Maria Volonte, Mario Brega, Luigi Pistilli, Aldo Sambrell, Klaus Kinski', '$15,000,000']. ['13.', 'The Sandpiper', 'Metro-Goldwyn-Mayer', 'Vincente Minnelli', 'Elizabeth Taylor, Richard Burton, Eva Marie Saint, Charles Bronson, Robert Webber', '$13,691,111']. ['14.', 'A Patch of Blue', 'Metro-Goldwyn-Mayer', 'Guy Green', 'Sidney Poitier, Shelley Winters, Elizabeth Hartman, Wallace Ford, Ivan Dixon', '$13,500,000']. ['15.', 'The Sons of Katie Elder', 'Paramount Pictures', 'Henry Hathaway', 'John Wayne, Dean Martin, Martha Hyer, Michael Anderson, Jr., Earl Holliman, Jeremy Slate, George Kennedy, Dennis Hopper', '$13,333,333']. ['16.', 'Help!', 'United Artists', 'Richard Lester', 'John Lennon, Paul McCartney, George Harrison, Ringo Starr, Leo McKern, Eleanor Bron, John Bluthal', '$12,066,667']. ['17.', 'How to Murder Your Wife', 'United Artists', 'Richard Quine', 'Jack Lemmon, Virna Lisi, Terry-Thomas, Claire Trevor', '$12,000,000']. ['18.', 'Darling', 'Embassy Pictures', 'John Schlesinger', 'Julie Christie, Laurence Harvey, Dirk Bogarde, Jose Luis de Vilallonga, Roland Curram, Basil Henson', '$12,000,000']. ['19.', 'The Agony and the Ecstasy', '20th Century Fox', 'Carol Reed', 'Charlton Heston, Rex Harrison, Diane Cilento, Harry Andrews, Alberto Lupo, Adolfo Celi, Venantino Venantini', '$8,000,000']. ['20.', 'Do Not Disturb', '20th Century Fox', 'Ralph Levy, George Marshall', 'Doris Day, Rod Taylor, Hermione Baddeley, Sergio Fantoni, Reginald Gardiner', '$8,000,000']. ['21.', 'The Spy Who Came in from the Cold', 'Paramount', 'Martin Ritt', 'Richard Burton, Claire Bloom, Oskar Werner, Sam Wanamaker', '$7,600,000']. ['22.', 'Ship of Fools', 'Columbia', 'Stanley Kramer', 'Vivien Leigh, Simone Signoret, Oskar Werner, Lee Marvin, Elizabeth Ashley, George Segal, Jose Greco, Michael Dunn', '$7,000,000']. ['23.', 'The Collector', 'Columbia', 'William Wyler', 'Terence Stamp, Samantha Eggar, Mona Washbourne', '$7,000,000']. ['24.', 'The Train', 'United Artists', 'John Frankenheimer', 'Burt Lancaster, Paul Scofield, Jeanne Moreau, Michel Simon', '$6,800,000']
A: | which 1965 movies are listed? | 3 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example input: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Example output: What team is Player Paul Coleman from?
Example explanation: The question is based on the information given in the table and can be answered from the given table.
Q: Table: ['Dutch language group Electoral district (as of 2012)', 'Dutch language group Seats', 'French language group Electoral district (as of 2012)', 'French language group Seats']. ['Antwerp', '24', 'Brussels Capital Region', '13/14']. ['Brussels Capital Region', '1/2', 'Hainaut', '18']. ['East Flanders', '20', 'Liege', '15']. ['Flemish Brabant', '15', 'Luxembourg', '4']. ['Limburg', '12', 'Namur', '6']. ['West Flanders', '16', 'Walloon Brabant', '5']. ['Total', '88', 'Total', '62']
A: | what is the highest number of seats listed for one group? | 3 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Output: What team is Player Paul Coleman from?
The question is based on the information given in the table and can be answered from the given table.
New input case for you: Table: ['Player', 'Games Played', 'Field Goals', 'Free Throws', 'Points']. ['Ralf Woods', '16', '54', '70', '178']. ['Clyde Alwood', '15', '57', '0', '114']. ['Ernest McKay', '15', '39', '3', '81']. ['Ray Woods', '16', '19', '0', '38']. ['John Felmley', '6', '7', '4', '18']. ['George Halas', '11', '5', '0', '10']. ['R.C. Haas', '3', '1', '0', '2']. ['Gordon Otto', '4', '1', '0', '2']
Output: | how many games did r.c hass play? | 1 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Example solution: What team is Player Paul Coleman from?
Example explanation: The question is based on the information given in the table and can be answered from the given table.
Problem: Table: ['Name', 'Red vs. Blue', 'Couples team', 'Status', 'Weight', 'Total Votes']. ['Valerica Marin 47, Bucharest', 'None', '', 'Eliminated Week 1', '142 kg', '0']. ['Tatiana Musat 25, Bucharest', 'None', '', 'Eliminated Week 1', '150 kg', '0']. ['Gige State 47, Bucharest', 'None', '', 'Eliminated Week 1', '200 kg', '0']. ['Alex Ionescu Returned week 5', 'None', '', 'Eliminated Week 1', '196 kg', '0']. ['Catalin Chiriac 23, Bucharest', 'Blue Team', '', '1st Voted Out Week 1', '146, 4 kg', '6']. ['Dana Mocanu 34, Ploiesti', 'Red Team', '', '2nd Voted Out Week 2', '111, 5 kg', '6']. ['Daniela Gheorghe 21, Pitesti', 'Red Team', '', '3rd Voted Out Week 3', '112, 8 kg', '5']. ['Alexandra Patrascu 37, Bucharest', 'Red Team', '', 'Eliminated Week 4', '118, 4 kg', '0']. ['Mihai Florescu 35, Bucharest', 'Red Team', '', '4th Voted Out Week 4', '175, 8 kg', '0']. ['Alexandru Briscu 26, Bacau', 'Blue Team', 'Gray Team', '5th Voted Out Week 5', '158, 1 kg', '0']. ['Daniel Sulugiu 34, Bucharest', 'Blue Team', 'Yellow Team', '5th Voted Out Week 6', '158, 1 kg', '0']. ['Irina Gur 39, Bucharest', 'Blue Team', 'Lightgreen Team', '6th Voted Out Week7', '129,4 kg', '1']. ['Dragos Holeac 30, Bucharest', 'Blue Team', 'Lightgreen Team', '6th Voted Out Week7', '129,4 kg', '1']
| Solution: who are the contestants on marele castigator (season 1)? | 5 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Ex Input:
Table: ['Year', 'Award', 'Category', 'Nominated work', 'Result']. ['1979', 'Olivier Award', 'Best Actress in a Revival', 'Once in a Lifetime', 'Won']. ['1981', 'Tony Award', 'Best Featured in a Play', 'Piaf!', 'Nominated']. ['1981', 'Drama Desk Award', 'Outstanding Featured Actress in a Play', 'Piaf!', 'Nominated']. ['1984', 'Olivier Award', 'Best Actress in a Revival', 'Twelfth Night', 'Nominated']. ['1984', 'Olivier Award', 'Best Actress in a Supporting Role', 'The Time of Your Life', 'Nominated']. ['1985', 'Olivier Award', 'Best Performance in a Supporting Role', 'Mother Courage', 'Nominated']. ['1986', 'Tony Award', 'Best Featured Actress in a Play', 'Loot', 'Nominated']. ['1986', 'Drama Desk Award', 'Outstanding Featured Actress in a Play', 'Loot', 'Nominated']. ['1989/90', 'Olivier Award', 'Best Performance in a Supporting Role', 'Othello', 'Nominated']. ['1991', 'Olivier Award', 'Best Actress in a Supporting Role', 'The Crucible', 'Nominated']. ['1992', 'BAFTA TV Award', 'Best Actress', 'Prime Suspect', 'Nominated']. ['1993', 'BAFTA TV Award', 'Best Actress', 'Love Hurts', 'Nominated']. ['1996', 'Olivier Award', 'Best Actress', 'The Glass Menagerie', 'Nominated']. ['1998', 'BAFTA Film Award', 'Best Supporting Actress', 'Wilde', 'Nominated']. ['1998', 'Olivier Award', 'Best Actress', 'Electra', 'Won']. ['1999', 'Tony Award', 'Best Actress in a Play', 'Electra', 'Nominated']. ['1999', 'Drama Desk Award', 'Outstanding Actress in a Play', 'Electra', 'Nominated']. ['2002', 'Olivier Award', 'Best Actress', 'Boston Marriage', 'Nominated']. ['2006', 'Tony Award', 'Best Featured Actress in a Play', 'Awake and Sing!', 'Nominated']
Ex Output:
which works were nominated for the oliver award?
Ex Input:
Table: ['Institution', 'Location', 'Enrollment', 'Nickname', 'Varsity Sports', 'Rugby Since', 'Head Coach']. ['Clemson University', 'Clemson, South Carolina', '20,576', 'Tigers', '19', '1967', 'Justin Hickey']. ['Maryland', 'College Park, Maryland', '37,641', 'Terrapins', '20', '1968', 'Jeff Soeken']. ['Navy', 'Annapolis, Maryland', '4,576', 'Midshipmen', '30', '1963', 'Mike Flanagan']. ['North Carolina', 'Chapel Hill, North Carolina', '29,340', 'Tar Heels', '28', '1966', 'Pete Earsman']. ['North Carolina State', 'Raleigh, North Carolina', '34,767', 'Wolfpack', '25', '1965', 'Jim Latham']. ['University of Virginia', 'Charlottesville, Virginia', '20,895', 'Cavaliers', '25', '1961', 'Jon Roberts']. ['Virginia Tech', 'Blacksburg, Virginia', '30,379', 'Hokies', '21', '1891 / 1968', 'Andy Richards']. ['Wake Forest', 'Winston-Salem, North Carolina', '7,079', 'Demon Deacons', '18', '1973', 'Patrick Kane']
Ex Output:
what are all the schools?
Ex Input:
Table: ['Year', 'Location', 'Gold', 'Silver', 'Bronze']. ['1958', 'Tokyo', 'Sachika Kamo', 'Desideria Ampon', 'Liu Shang-Ku']. ['1962', 'Jakarta', 'Akiko Fukui', 'Reiko Miyagi', 'Desideria Ampon Patricia Yngayo']. ['1966', 'Bangkok', 'Lany Kaligis', 'Kazuko Kuromatsu', 'Lita Liem Sugiarto Phanow Sudsawasdi']. ['1974', 'Tehran', 'Lita Liem Sugiarto', 'Paulina Pesahov', 'Lany Kaligis']. ['1978', 'Bangkok', 'Lee Duk-Hee', 'Chen Chuan', 'Kiyoko Nomura Sonoe Yonezawa']. ['1982', 'New Delhi', 'Etsuko Inoue', 'Kim Soo-Ok', 'Yu Liqiao']. ['1986', 'Seoul', 'Li Xinyi', 'Lee Jeong-Soon', 'Kim Soo-Ok']. ['1990', 'Beijing', 'Akiko Kijimuta', 'Chen Li', 'Park Mal-Sim Kim Il-Soon']. ['1994', 'Hiroshima', 'Kimiko Date', 'Naoko Sawamatsu', 'Yayuk Basuki Chen Li']. ['1998', 'Bangkok', 'Yayuk Basuki', 'Tamarine Tanasugarn', 'Li Fang Yi Jingqian']. ['2002', 'Busan', 'Iroda Tulyaganova', 'Tamarine Tanasugarn', 'Shinobu Asagoe Cho Yoon-Jeong']. ['2006', 'Doha', 'Zheng Jie', 'Sania Mirza', 'Li Na Aiko Nakamura']. ['2010', 'Guangzhou', 'Peng Shuai', 'Akgul Amanmuradova', 'Kimiko Date-Krumm Sania Mirza']
Ex Output:
| who won bronze medals?
| 1 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
One example is below.
Q: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
A: What team is Player Paul Coleman from?
Rationale: The question is based on the information given in the table and can be answered from the given table.
Q: Table: ['Rank', 'Area', 'State/ Province', 'CSA/CMA 2009 population', 'Projected 2025 population', 'Projected increase 2009-2025']. ['1', 'Chicago', 'IL-IN-WI', '9,804,845', '10,935,100', '1,130,255']. ['2', 'Toronto', 'ON', '5,741,400', '7,408,000', '1,666,600']. ['3', 'Detroit', 'MI', '5,327,764', '6,191,000', '863,236']. ['4', 'Cleveland', 'OH', '2,891,988', '3,172,000', '280,012']. ['5', 'Milwaukee', 'WI', '1,760,268', '1,913,000', '157,732']. ['6', 'Ottawa - Gatineau', 'ON-QC', '1,451,415', '1,596,556', '145,141']. ['7', 'Grand Rapids', 'MI', '1,327,366', '1,530,000', '202,634']. ['8', 'Buffalo', 'NY', '1,203,493', '1,040,400', '-163,093']. ['9', 'Rochester', 'NY', '1,149,653', '1,248,600', '98,947']. ['10', 'Hamilton', 'ON', '740,200', '954,858', '214,658']. ['11', 'Toledo', 'OH', '672,220', '672,220', '0']. ['12', 'Lansing', 'MI', '523,609', '547,325', '23,716']. ['13', 'Kitchener - Cambridge - Waterloo', 'ON', '492,400', '635,196', '142,796']. ['14', 'London', 'ON', '492,200', '634,938', '142,738']. ['15', 'Fort Wayne', 'IN', '414,315', '455,623', '39,366']. ['16', 'St. Catharines - Niagara', 'ON', '404,400', '521,676', '117,276']. ['17', 'Windsor', 'ON', '330,900', '426,861', '95,961']. ['18', 'Erie', 'PA', '280,985', 'N/A', 'N/A']
A: | what are all the population centers? | 9 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Q: Table: ['Number', 'Builder', 'Type', 'Date', 'Works number', 'Notes']. ['51', 'Baldwin Locomotive Works', 'DS4-4-750', '1949', '74408', 'Acquired new 1949, Retired 1970/Wrecked-Scrapped.']. ['52', 'Baldwin Locomotive Works', 'DS4-4-750', '1949', '74409', 'Acquired new 1949, retired in 1970 and scrapped in 1990']. ['53', 'Baldwin Locomotive Works', 'DS4-4-1000', '1949', '74193', 'ex-Pan American Engineering W8380; nee Army Corps of Engineers W8380, acquired 1956, retired in 1985, to John Bradley, 1985; to Roots of Motive Power Collection']. ['54', 'Baldwin Locomotive Works', 'S-12', '1952/1953', '75823', 'ex-NW (3307); nee WAB 307, wrecked 1968, retired 1970, scrapped']. ['55', 'Baldwin Locomotive Works', 'RS-12', '1955', '76024', 'decorated for the United States Bicentennial nee MR 32, acquired 1968, scrapped 1995']. ['56', 'Baldwin Locomotive Works', 'RS-12', '1955', '76105', 'nee MR 33, acquired 1970, retired 1985 to John Bradley, 1985; to Travel Town Museum (Los Angeles, CA)56']. ['57', 'Baldwin Locomotive Works', 'S-12', '1953', '75914', 'nee SP 1539, acquired 1970, retired unknown, stored at Willits, California']. ['61', 'American Locomotive Works', 'RS-11', '1979', 'Unknown', 'Former SP. Status Unknown']. ['62', 'American Locomotive Works', 'RS-11', '1979', 'Unknown', 'Former SP. Status Unknown']. ['63', 'American Locomotive Works', 'RS-11', '1979', 'Unknown', 'Former SP. Sold to NVRR 1987']. ['64', 'Electro-Motive Diesel', 'GP9m', '1987', 'Unknown', 'Former SP # 3411. Operational and in regular service']. ['65', 'Electro-Motive Diesel', 'GP9m', '1987', 'Unknown', 'Former SP # 3412. Operational']. ['66', 'Electro-Motive Diesel', 'GP9m', '1956', 'Unknown', 'Former C&O # 6145. Acquired 1998. Operational and in regular service.']. ['67', 'Electro-Motive Diesel', 'GP9m', '6/1954', '19554', 'built as Bangor and Aroostook Railroad # 77; acquired 1998; never delivered']. ['M-80', 'Mack', 'Railbus', '1923', 'Unknown', 'Purchased 1925. Wrecked twice: in 1957 with a delivery truck, and in 1964 with M-100. Scrapped 1964']. ['M-100', 'Edwards Rail Car Company', 'Motor Car', '1925', 'Unknown', 'Acquired from Moorhead & North Forks Railroad; Operable. Recently repainted back to historic yellow scheme']. ['M-200', 'SS&IW', 'Motor Car', '1927', 'Unknown', 'Ex-TRC #22; nee-LPN 20; to Niles Canyon Railway, 1975; Operable on Niles Canyon Railway']. ['M-300', 'American Car and Foundry Company', 'Motor Car', '1935', 'Unknown', 'M-300 at Fort Bragg Ex-SLGW; nee AR; Operable']
A: what is the number of diesel locomotive from mack on the california western railroad?
****
Q: Table: ['Pos', 'No', 'Rider', 'Manufacturer', 'Laps', 'Time', 'Grid', 'Points']. ['1', '58', 'Marco Simoncelli', 'Gilera', '25', '39:02.553', '1', '25']. ['2', '19', 'Alvaro Bautista', 'Aprilia', '25', '+0.223', '3', '20']. ['3', '36', 'Mika Kallio', 'KTM', '25', '+14.450', '2', '16']. ['4', '60', 'Julian Simon', 'KTM', '25', '+14.478', '6', '13']. ['5', '6', 'Alex Debon', 'Aprilia', '25', '+26.226', '8', '11']. ['6', '15', 'Roberto Locatelli', 'Gilera', '25', '+26.392', '11', '10']. ['7', '72', 'Yuki Takahashi', 'Honda', '25', '+26.434', '7', '9']. ['8', '41', 'Aleix Espargaro', 'Aprilia', '25', '+40.546', '9', '8']. ['9', '14', 'Ratthapark Wilairot', 'Honda', '25', '+1:00.219', '12', '7']. ['10', '32', 'Fabrizio Lai', 'Gilera', '25', '+1:20.825', '13', '6']. ['11', '17', 'Karel Abraham', 'Aprilia', '25', '+1:22.802', '17', '5']. ['12', '25', 'Alex Baldolini', 'Aprilia', '25', '+1:22.864', '18', '4']. ['13', '10', 'Imre Toth', 'Aprilia', '25', '+1:23.995', '16', '3']. ['14', '52', 'Lukas Pesek', 'Aprilia', '25', '+1:39.740', '14', '2']. ['15', '35', 'Simone Grotzkyj', 'Gilera', '24', '+1 Lap', '21', '1']. ['16', '92', 'Daniel Arcas', 'Honda', '24', '+1 Lap', '20', '']. ['17', '45', 'Doni Tata Pradita', 'Yamaha', '24', '+1 Lap', '22', '']. ['Ret', '4', 'Hiroshi Aoyama', 'KTM', '15', 'Retirement', '4', '']. ['Ret', '75', 'Mattia Pasini', 'Aprilia', '15', 'Accident', '10', '']. ['Ret', '55', 'Hector Faubel', 'Aprilia', '4', 'Accident', '5', '']. ['Ret', '90', 'Federico Sandi', 'Aprilia', '1', 'Accident', '15', '']. ['Ret', '43', 'Manuel Hernandez', 'Aprilia', '1', 'Retirement', '19', '']. ['DNQ', '27', 'Stefano Bianco', 'Gilera', '', '', '', '']. ['DNQ', '89', 'Ho Wan Chow', 'Aprilia', '', '', '', '']
A: how many laps did marco perform?
****
Q: Table: ['', 'Ship', 'Shipyard', 'Laid down', 'Launched', 'Completed', 'Fate']. ['Bai Lu', 'Shiratsuyu', 'Sasebo Naval Arsenal', '14 November 1933', '5 April 1935', '20 August 1936', 'Collision 15 June 1944']. ['Shi Yu', 'Shigure', 'Uraga Dock Company', '9 December 1933', '18 May 1935', '7 September 1936', 'Sunk in action 24 January 1945']. ['Cun Yu', 'Murasame', 'Fujinagata Shipyards', '1 February 1934', '20 June 1935', '7 January 1937', 'Sunk in action, 6 March 1943']. ['Xi Li', 'Yudachi', 'Sasebo Naval Arsenal', '16 October 1934', '21 June 1936', '7 January 1937', 'Sunk in action 13 November 1942']. ['Wu Yue Yu', 'Samidare', 'Uraga Dock Company', '19 December 1934', '6 July 1935', '29 January 1937', 'Sunk in action 26 August 1944']. ['Chun Yu', 'Harusame', 'Uraga Dock Company', '3 February 1935', '21 September 1935', '26 August 1937', 'Sunk in action 8 June 1944']. ['Shan Feng', 'Yamakaze', 'Uraga Dock Company', '25 May 1935', '21 February 1936', '30 June 1937', 'Sunk in action 23 June 1942']. ['Jiang Feng', 'Kawakaze', 'Fujinagata Shipyards', '25 April 1935', '1 November 1936', '30 April 1937', 'Sunk in action 6 August 1943']. ['Hai Feng', 'Umikaze', 'Maizuru Naval Arsenal', '4 May 1935', '27 November 1936', '31 May 1937', 'Sunk in action 1 February 1944']. ['Liang Feng', 'Suzukaze', 'Uraga Dock Company', '9 July 1935', '11 March 1937', '31 August 1937', 'Sunk in action 25 January 1944']
A: | what were the names of each shiratsuyu-class destroyer?
****
| 4 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Input: Consider Input: Table: ['Number', 'Serial No', 'Entered Service', 'Withdrawn', 'Kilometres Travelled']. ['4101', '1000', '1 Dec 1953', '6 Jun 1973', '463,514']. ['4102', '1002', '30 Oct 1953', '30 Jun 1975', '492,650']. ['4103', '1003', '18 Jan 1954', '2 Apr 1974', '462,871']. ['4104', '1004', '13 Jan 1954', '12 Oct 1973', '440,810']. ['4105', '1005', '8 Feb 1954', '?', '?']. ['4106', '1006', '21 Jan 1954', '4 Aug 1972', '406,288']. ['4107', '1007', '25 Jan 1954', '11 Aug 1973', '446,167']. ['4108', '1008', '22 Feb 1954', '20 Dec 1967', '402,026']. ['4109', '1009', '11 Mar 1954', '9 Feb 1972', '426,074']. ['4110', '1010', '10 Feb 1955', '20 May 1974', '476,489']
Output: what are the listed numbers of kilometres travelled?
Input: Consider Input: Table: ['Ship', 'Built', 'In service for Cunard', 'Type', 'Tonnage', 'Notes']. ['Queen Mary', '1936', '1936-1967', 'express', '80,750 GRT', 'Blue Riband, sold 1967, now a stationary hotel ship']. ['Mauretania', '1939', '1939-1965', 'express', '37,750 GRT', 'scrapped 1965']. ['Queen Elizabeth', '1940', '1946-1968', 'express', '83,650 GRT', 'WWII troopship 1940-1945, sold 1968, destroyed by fire 1972']. ['Media', '1947', '1947-1961', 'cargo liner', '13,350 GRT', 'sold to Cogedar Line 1961, scrapped 1989']. ['Parthia', '1947', '1947-1961', 'cargo liner', '13,350 GRT', 'sold to P&O 1961, renamed Remuera, scrapped 1969']. ['Caronia', '1949', '1949-1968', 'cruise', '34,200 GRT', 'sold 1968, wrecked 1974']. ['Britannic', '1929', '1950-1960', 'intermediate', '26,943 GRT', 'built for White Star Line, scrapped 1960']. ['Georgic', '1932', '1950-1956', 'intermediate', '27,759 GRT', 'built for White Star Line, scrapped 1956']. ['Saxonia Carmania', '1954', '1954-1962 1962-1973', 'intermediate cruise', '21,637 GRT 21,370 GRT', 'Sold to the Black Sea Shipping Company, Soviet Union 1973']. ['Ivernia Franconia', '1955', '1955-1963 1963-1973', 'intermediate cruise', '21,800 GRT', 'Sold to the Far Eastern Shipping Company, Soviet Union 1973, scrapped 2004']. ['Carinthia', '1956', '1956-1968', 'intermediate', '21,800 GRT', 'sold to Sitmar Line 1968, scrapped 2005']. ['Sylvania', '1957', '1957-1968', 'intermediate', '21,800 GRT', 'sold to Sitmar Line 1968, scrapped 2004']. ['Alaunia', '1960', '1960-1969', 'cargo liner', '7,004 GRT', 'sold to Brocklebank Line in 1969']. ['Queen Elizabeth 2', '1969', '1969-2008', 'express', '70,300 GRT', 'sold 2008, laid up in Port Rashid']. ['Atlantic Causeway', '1969', '1970-1986', 'container ship', '14,950 GRT', 'scrapped in 1986']. ['Atlantic Conveyor', '1970', '1970-1982', 'container ship', '14,946 GRT', 'sunk in Falklands War 1982']
Output: which of these ships are of the express type?
Input: Consider Input: Table: ['Rank', 'Nation', 'Gold', 'Silver', 'Bronze', 'Total']. ['1', 'Russia', '6', '3', '7', '16']. ['2', 'United States', '5', '0', '4', '9']. ['3', 'Japan', '3', '4', '1', '8']. ['4', 'France', '3', '1', '1', '5']. ['5', 'Ukraine', '2', '0', '2', '4']. ['6', 'Turkey', '2', '0', '1', '3']. ['7', 'Sweden', '2', '0', '0', '2']. ['8', 'Iran', '1', '2', '1', '4']. ['9', 'Armenia', '1', '1', '2', '4']. ['10', 'China', '1', '1', '1', '3']. ['11', 'Austria', '1', '0', '0', '1']. ['11', 'Bulgaria', '1', '0', '0', '1']. ['11', 'South Korea', '1', '0', '0', '1']. ['14', 'Germany', '0', '3', '4', '7']. ['15', 'Kazakhstan', '0', '3', '0', '3']. ['16', 'Cuba', '0', '2', '3', '5']. ['17', 'Norway', '0', '2', '0', '2']. ['18', 'Venezuela', '0', '1', '1', '2']. ['19', 'Canada', '0', '1', '0', '1']. ['19', 'Hungary', '0', '1', '0', '1']. ['19', 'Israel', '0', '1', '0', '1']. ['19', 'Moldova', '0', '1', '0', '1']. ['19', 'Poland', '0', '1', '0', '1']. ['19', 'Romania', '0', '1', '0', '1']. ['25', 'Uzbekistan', '0', '0', '1', '1']. ['Total', 'Total', '29', '29', '29', '87']
| Output: where did iran rank?
| 2 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
Teacher: You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Teacher: Now, understand the problem? If you are still confused, see the following example:
Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Solution: What team is Player Paul Coleman from?
Reason: The question is based on the information given in the table and can be answered from the given table.
Now, solve this instance: Table: ['Rank', 'Athlete', 'Qual', 'Final', 'Total', 'Notes']. ['', 'Silvia Sperber (FRG)', '590', '95.6', '685.6', 'OR']. ['', 'Vesela Letcheva (BUL)', '583', '100.2', '683.2', '']. ['', 'Valentina Cherkasova (URS)', '586', '95.4', '681.4', '']. ['4', 'Katja Klepp (GDR)', '584', '96.5', '680.5', '']. ['5', 'Sharon Bowes (CAN)', '584', '96.5', '680.5', '']. ['6', 'Anna Maloukhina (URS)', '585', '93.4', '678.4', '']. ['7', 'Launi Meili (USA)', '582', '94.5', '676.5', '']. ['8', 'Anita Karlsson (SWE)', '583', '93.4', '676.4', '']
Student: | who scored a total of 685.6? | 2 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
--------
Question: Table: ['YEAR', 'FILM', 'SONG', 'LANGUAGE']. ['2005', 'The Tiger', 'Kaliya Visha Dhara', 'Malayalam']. ['2006', 'Chinthamani Kolacase', 'Asathoma', 'Malayalam']. ['2006', 'The Don', 'Theme song', 'Malayalam']. ['2007', 'Detective', 'Theme song', 'Malayalam']. ['2008', 'Sound of Boot', 'Yamuna sangitaam', 'Malayalam']. ['2009', 'Kerala cafe (BGM)', 'Lalitham hiranmyam', 'Malayalam']. ['2010', 'Ringtone', '5 songs', 'Malayalam']. ['2010', 'Thriller', 'BGM', 'Malayalam']. ['2011', 'Thaazhvaarakaatu', '5 songs', 'Malayalam']. ['2012', 'Shyloo', 'Shyloo', 'Kannada']. ['2012', 'Crime story', '3 songs', 'Malayalam']. ['2012', 'Munjane', 'Yaro Ob Sundari', 'Kannada']. ['2012', 'Sankranthi', 'Belakkilla balali', 'Kannada']. ['2012', 'Kai Thunindavan', '5 songs', 'Tamil']
Answer: what were the films ishaan dev was involved with?
Question: Table: ['High School', 'Join Year', 'From', 'Left', 'league left to']. ['Ainsworth', '1954', '', '1961', 'Big Nine Conference']. ['Atherton', '1960', '', '1976', 'Mid-Eastern Eight Conference']. ['Beecher', '1950', '', '1960', 'Big Nine Conference']. ['Bendle', '1950', '', '1975', 'Mid-Eastern Eight Conference']. ['Bentley', '1960', '', '1978', 'Genesee Eight']. ['Brandon', '1977', '', '1978', 'Five County 5 League']. ['Clio', '1950', '', '1960', 'Big Nine Conference']. ['Davison', '1950', '', '1960', 'Big Nine Conference']. ['Durand', '1964', '', '1978', 'Flint Metro League']. ['Fenton', '1940', '', '1968', 'Flint Metro League']. ['Flushing', '1950', '', '1960', 'Big Nine Conference']. ['Grand Blanc', '1950', '', '1960', 'Big Nine Conference']. ['Hartland', '1976', '', '1978', 'Five County 5']. ['Kearsley', '1950', '', '1960', 'Big Nine Conference']. ['Lake Fenton', '1976', '', '1978', 'Genesee Eight']. ['LakeVille', '1956 2nd: 1964', '', '1962 2nd: 1976', 'Independent 2nd: Flint Metro League']. ['Linden', '1974', '', '1978', 'Genesee Eight']. ['Mt. Morris', '1950', '', '1960', 'Big Nine Conference']. ['Swartz Creek', '1960', 'County C League', '1968', 'Flint Metro League']
Answer: what are the listed join years for this league?
Question: Table: ['Title', 'Release', '6th Gen', 'Handheld', 'Note']. ['Buggy Grand Prix: Kattobi! Dai-Sakusen', '2003', 'PlayStation 2', 'N/A', '']. ['Gunbird Special Edition / Gunbird 1&2', '2004', 'PlayStation 2', 'N/A', '']. ['Psikyo Shooting Collection Vol. 1: Strikers 1945 I & II', '2004', 'PlayStation 2', 'N/A', 'Released and published in Europe by Play It as 1945 I & II: The Arcade Games.']. ['Psikyo Shooting Collection Vol. 2: Sengoku Ace & Sengoku Blade', '2004', 'PlayStation 2', 'N/A', '']. ['Psikyo Shooting Collection Vol. 3: Sol Divide & Dragon Blaze', '2004', 'PlayStation 2', 'N/A', '']. ['Taisen Hot Gimmick: Cosplay Mahjong', '2004', 'PlayStation 2', 'N/A', '']. ['Sengoku Cannon', '2005', 'N/A', 'PSP', '']. ['Taisen Hot Gimmick: Axes-Jong', '2005', 'PlayStation 2', 'N/A', '']
Answer: | what are all of the titles?
| 7 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
instruction:
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
question:
Table: ['Rank', 'Lane', 'Name', 'Nationality', 'Time', 'Notes']. ['', '5', 'Ryan Lochte', 'United States', '1:53.94', 'WR']. ['', '4', 'Aaron Peirsol', 'United States', '1:54.33', '']. ['', '8', 'Arkady Vyatchanin', 'Russia', '1:54.93', 'EU']. ['4', '3', 'Markus Rogan', 'Austria', '1:55.49', 'NR']. ['5', '6', 'Ryosuke Irie', 'Japan', '1:55.72', '']. ['6', '1', 'Hayden Stoeckel', 'Australia', '1:56.39', 'OC']. ['7', '2', 'Razvan Florea', 'Romania', '1:56.52', '']. ['8', '7', 'Gregor Tait', 'Great Britain', '1:57.00', '']
answer:
what is the name of the contestant in lane 6?
question:
Table: ['No.', 'Date', 'Tournament', 'Winning score', 'Margin of victory', 'Runner(s)-up']. ['1', '20 Jan 2008', 'Abu Dhabi Golf Championship', '-15 (66-65-68-74=273)', '4 strokes', 'Henrik Stenson, Lee Westwood']. ['2', '22 Jun 2008', 'BMW International Open', '-15 (68-63-67-75=273)', 'Playoff', 'Anders Hansen']. ['3', '5 Jul 2009', 'Open de France ALSTOM', '-13 (62-72-69-68=271)', 'Playoff', 'Lee Westwood']. ['4', '12 Jul 2009', 'Barclays Scottish Open', '-15 (69-65-66-69=269)', '2 strokes', 'Gonzalo Fernandez-Castano, Raphael Jacquelin']. ['5', '24 Jan 2010', 'Abu Dhabi Golf Championship', '-21 (67-67-67-66=267)', '1 stroke', 'Ian Poulter']. ['6', '15 Aug 2010', 'PGA Championship', '-11 (72-68-67-70=277)', 'Playoff', 'Bubba Watson']. ['7', '12 Sep 2010', 'KLM Open', '-14 (67-67-66-66=266)', '4 strokes', 'Christian Nilsson, Fabrizio Zanotti']. ['8', '10 Oct 2010', 'Alfred Dunhill Links Championship', '-17 (68-69-68-66=271)', '3 strokes', 'Danny Willett']. ['9', '23 Jan 2011', 'Abu Dhabi HSBC Golf Championship', '-24 (67-65-66-66=264)', '8 strokes', 'Rory McIlroy']. ['10', '6 Nov 2011', 'WGC-HSBC Champions', '-20 (69-68-68-63=268)', '3 strokes', 'Fredrik Jacobson']
answer:
what were the margins of victories of the tournaments?
question:
Table: ['', 'Name', 'Distance', 'Date', 'Location']. ['1.', 'Seppo Simola', '20.15', 'July 19, 1972', 'Turku, Finland']. ['2.', 'Matti Yrjola', '20.04', 'August 2, 1972', 'Hameenkyro, Finland']. ['3.', 'Bo Grahn', '20.09', 'August 3, 1972', 'Helsinki, Finland']. ['4.', 'Reijo Stahlberg', '20.38', 'July 26, 1973', 'Turku, Finland']. ['5.', 'Markku Tuokko', '20.03', 'August 18, 1979', 'Mikkeli, Finland']. ['6.', 'Aulis Akonniemi', '20.12', 'July 25, 1982', 'Ahtari, Finland']. ['7.', 'Janne Ronkainen', '20.02', 'May 11, 1986', 'Leselidse, Soviet Union']. ['8.', 'Jari Kuoppa', '20.17', 'June 12, 1986', 'Ahtari, Finland']. ['9.', 'Kari Toyryla', '20.05', 'July 2, 1986', 'Kauhajoki, Finland']. ['10.', 'Markus Koistinen', '20.31', 'June 13, 1993', 'Luumaki, Finland']. ['11.', 'Mika Halvari', '20.08', 'August 4, 1993', 'Kotka, Finland']. ['12.', 'Arsi Harju', '20.16', 'March 2, 1997', 'Tampere, Finland']. ['13.', 'Timo Aaltonen', '20.12', 'June 20, 1998', 'Kuortane, Finland']. ['14.', 'Jani Illikainen', '20.43', 'January 23, 1999', 'Haaparanda, Sweden']. ['15.', 'Ville Tiisanoja', '20.06', 'July 31, 1999', 'Espoo, Finland']. ['16.', 'Jarkko Haukijarvi', '20.20', 'July 1, 2000', 'Eurajoki, Finland']. ['17.', 'Tepa Reinikainen', '20.01', 'February 13, 2000', 'Kuopio, Finland']. ['18.', 'Conny Karlsson', '20.45', 'May 31, 2001', 'Espoo, Finland']. ['19.', 'Robert Haggblom', '20.13', 'May 20, 2006', 'Halle, Germany']. ['20.', 'Mika Vasara', '20.04', 'June 4, 2006', 'Leppavirta, Finland']
answer:
| who are all of the athletes?
| 9 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
TASK DEFINITION: You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
PROBLEM: Table: ['Pos', 'No', 'Driver', 'Team', 'Laps', 'Time/Retired', 'Grid', 'Points']. ['1', '6', 'Michael Andretti', 'Newman-Haas Racing', '150', '1:33:39.268', '8', '20+1']. ['2', '99', 'Greg Moore', 'Forsythe Racing', '150', '+0.075', '1', '16+1']. ['3', '1', 'Alex Zanardi', 'Chip Ganassi Racing', '150', '+0.918', '6', '14']. ['4', '11', 'Christian Fittipaldi', 'Newman-Haas Racing', '150', '+3.359', '4', '12']. ['5', '20', 'Scott Pruett', 'Patrick Racing', '150', '+5.257', '12', '10']. ['6', '40', 'Adrian Fernandez', 'Patrick Racing', '150', '+5.926', '5', '8']. ['7', '5', 'Gil de Ferran', 'Walker Racing', '150', '+6.810', '11', '6']. ['8', '8', 'Bryan Herta', 'Team Rahal', '150', '+9.866', '16', '5']. ['9', '27', 'Dario Franchitti', 'Team KOOL Green', '150', '+10.275', '13', '4']. ['10', '17', 'Mauricio Gugelmin', 'PacWest Racing Group', '150', '+10.855', '10', '3']. ['11', '33', 'Patrick Carpentier', 'Forsythe Racing', '150', '+11.382', '9', '2']. ['12', '18', 'Mark Blundell', 'PacWest Racing Group', '150', '+29.029', '7', '1']. ['13', '10', 'Richie Hearn', 'Della Penna Motorsports', '149', '+1 Lap', '15', '']. ['14', '9', 'JJ Lehto', 'Hogan Racing', '149', '+1 Lap', '29', '']. ['15', '15', 'Roberto Moreno', 'Project Indy', '149', '+1 Lap', '23', '']. ['16', '12', 'Jimmy Vasser', 'Chip Ganassi Racing', '148', '+2 Laps', '3', '']. ['17', '3', 'Andre Ribeiro', 'Marlboro Team Penske', '148', '+2 Laps', '2', '']. ['18', '36', 'Alex Barron', 'All American Racing', '148', '+2 Laps', '27', '']. ['19', '7', 'Bobby Rahal', 'Team Rahal', '147', '+3 Laps', '17', '']. ['20', '98', 'P. J. Jones', 'All American Racing', '146', '+4 Laps', '26', '']. ['21', '77', 'Arnd Meier', 'Davis Racing', '136', '+14 Laps', '28', '']. ['22', '2', 'Al Unser, Jr.', 'Marlboro Team Penske', '122', 'Transmission', '14', '']. ['23', '24', 'Hiro Matsushita', 'Arciero-Wells Racing', '121', 'Contact', '24', '']. ['24', '16', 'Helio Castro-Neves', 'Bettenhausen Racing', '97', 'Contact', '22', '']. ['25', '34', 'Dennis Vitolo', 'Payton/Coyne Racing', '90', 'Withdrew', '25', '']. ['26', '25', 'Max Papis', 'Arciero-Wells Racing', '83', 'Wheel Bearing', '20', '']. ['27', '26', 'Paul Tracy', 'Team KOOL Green', '79', 'Suspension', '21', '']. ['28', '19', 'Michel Jourdain Jr.', 'Payton/Coyne Racing', '78', 'Handling', '19', '']. ['29', '21', 'Tony Kanaan', 'Tasman Motorsports Group', '32', 'Contact', '18', '']
SOLUTION: who were all of the competitors at the 1998 marlboro grand prix of miami?
PROBLEM: Table: ['Rank', 'Film', 'Year', 'Opening Weekend (three day)', 'Inflation-adjusted (2014 USD)']. ['1', "Marvel's The Avengers", '2012', '$207,438,708', '$213,091,480']. ['2', 'Iron Man 3', '2013', '$174,144,585', '$176,308,953']. ['3', 'Harry Potter and the Deathly Hallows - Part 2', '2011', '$169,189,427', '$177,373,590']. ['4', 'The Dark Knight Rises', '2012', '$160,887,295', '$165,271,526']. ['5', 'The Dark Knight', '2008', '$158,411,483', '$173,518,111']. ['6', 'The Hunger Games: Catching Fire', '2013', '$158,074,286', '$160,038,924']. ['7', 'The Hunger Games', '2012', '$152,535,747', '$156,692,396']. ['8', 'Spider-Man 3', '2007', '$151,116,516', '$171,876,545']. ['9', 'The Twilight Saga: New Moon', '2009', '$142,839,137', '$157,018,918']. ['10', 'The Twilight Saga: Breaking Dawn - Part 2', '2012', '$141,067,634', '$144,911,773']. ['11', 'The Twilight Saga: Breaking Dawn - Part 1', '2011', '$138,122,261', '$144,803,619']. ['12', "Pirates of the Caribbean: Dead Man's Chest", '2006', '$135,634,554', '$158,673,173']. ['13', 'Iron Man 2', '2010', '$128,122,480', '$138,563,103']. ['14', 'Harry Potter and the Deathly Hallows - Part 1', '2010', '$125,017,372', '$135,204,962']. ['15', 'Shrek the Third', '2007', '$121,629,270', '$138,338,411']. ['16', 'Man of Steel', '2013', '$116,619,362', '$118,068,774']. ['17', 'Alice in Wonderland', '2010', '$116,101,023', '$125,562,025']. ['18', 'Spider-Man', '2002', '$114,844,116', '$150,582,840']. ['19', "Pirates of the Caribbean: At World's End", '2007', '$114,732,820', '$130,494,543']. ['20', 'Toy Story 3', '2010', '$110,307,189', '$119,296,055']. ['21', 'Transformers: Revenge of the Fallen', '2009', '$108,966,307', '$119,783,499']. ['22', 'Star Wars Episode III: Revenge of the Sith', '2005', '$108,435,841', '$130,939,650']. ['23', 'Shrek 2', '2004', '$108,037,878', '$134,895,074']. ['24', 'X-Men: The Last Stand', '2006', '$102,750,665', '$120,203,691']. ['25', 'Harry Potter and the Goblet of Fire', '2005', '$102,685,961', '$123,996,491']. ['26', 'Indiana Jones and the Kingdom of the Crystal Skull', '2008', '$100,137,835', '$109,687,301']
SOLUTION: what are all of the film titles?
PROBLEM: Table: ['Track number', 'Russian title', 'English title', 'Music', 'Lyrics']. ['01', "Ulybnis'", 'Smile!', 'Vitas', 'D. Plachkovsky']. ['02', 'Blazhennyi Guru', 'Blessed Guru', 'Vitas', 'Vitas']. ['03', 'Voskovye figury', 'Wax Figures', 'Vitas', 'D. Plachkovsky, Vitas, S. Pudovkin']. ['04', 'Plachet chuzhaia toska', "Someone's Melancholy Is Crying", 'Vitas', 'D. Plachovsky']. ['05', 'Ave Mariia', 'Ave Maria', 'Franz Schubert', 'Traditional prayer']. ['06', 'Kholodnyi mir', 'The Cold World', 'V. Molchanov', 'D. Plachkovsky']. ['07', 'Ostrov zatonuvshikh korablei', 'The Island Of Sunken Ships', 'O. Gazmanov', 'E. Nebylova']. ['08', 'Fantasticheskie sny', 'Fantastic Dreams', 'Vitas', 'Vitas, D. Plachkovsky']. ['09', 'Good-bye', 'Good-bye', 'Vitas', 'Vitas']. ['10', "Schast'e", 'Happiness', 'Vitas', 'Vitas']. ['11', 'Ottsveli khrizantemy', 'Chrysanthemums Have Faded Out', 'N. Harito', 'V. Shumsky']. ['12', "Dozhd' v Tbilisi", 'Rain in Tbilisi', 'Vitas', 'Ratner']. ['13', 'Slepoi khudozhnik', 'Blind Painter', 'Vitas', 'D. Plachkovsky, Vitas, S. Pudovkin']. ['14', 'Milaia muzyka', 'Lovely Music', 'Vitas', 'Vitas']. ['15', 'Belorussiia', 'Byelorussia', 'Alexandra Pakhmutova', 'N. Dobronravov']. ['16', 'Do svidaniia', 'See You Later (Do Svidaniya)', 'Vitas', 'Vitas']
SOLUTION: | how many tracks are on the album?
| 8 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
One example: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Solution is here: What team is Player Paul Coleman from?
Explanation: The question is based on the information given in the table and can be answered from the given table.
Now, solve this: Table: ['', 'Country', 'Builder', 'Location', 'Ship', 'Class / type']. ['6 March', 'United States', 'John Roach and Son', 'Chester, Pennsylvania', 'City of Rio de Janeiro', 'Passenger ship']. ['13 May', 'Germany', 'Kaiserliche Werft Wilhelmshaven', 'Wilhelmshaven', 'Bayern', 'Sachsen-class ironclad']. ['13 June', 'United Kingdom', 'Royal Dockyard', 'Devonport, Devon', 'Pegasus', 'Doterel-class sloop']. ['31 August', 'United Kingdom', 'Royal Dockyard', 'Sheerness', 'Gannet', 'Doterel-class sloop']. ['23 October', 'Norway', 'Karljohansverns Verft', 'Horten', 'Nor', 'Vale-class gunboat']. ['1 November', 'Norway', 'Karljohansverns Verft', 'Horten', 'Brage', 'Vale-class gunboat']. ['9 November', 'Germany', 'A. G. Vulcan', 'Stettin', 'Wurttemberg', 'Sachsen-class ironclad']
Solution: | what class is the nor? | 6 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
--------
Question: Table: ['Year', 'Competition', 'Venue', 'Position', 'Event', 'Notes']. ['1992', 'CARIFTA Games (U20)', 'Nassau, Bahamas', '1st', 'Discus throw', '37.86 m']. ['1992', 'CARIFTA Games (U20)', 'Nassau, Bahamas', '3rd', 'Javelin throw', '36.37 m']. ['1999', 'Central American and Caribbean Championships', 'Bridgetown, Barbados', '2nd', 'Javelin throw', '54.24 m']. ['2000', 'Olympic Games', 'Sydney, Australia', '21st (q)', 'Javelin throw', '56.36 m']. ['2005', 'Central American and Caribbean Championships', 'Nassau, Bahamas', '2nd', 'Javelin throw', '61.10 m']. ['2005', 'World Championships', 'Helsinki, Finland', '14th (q)', 'Javelin throw', '58.49 m']. ['2006', 'Commonwealth Games', 'Melbourne, Australia', '3rd', 'Javelin throw', '58.27 m']. ['2006', 'Central American and Caribbean Games', 'Cartagena, Colombia', '4th', 'Javelin throw', '56.82 m']. ['2008', 'Olympic Games', 'Beijing, China', '34th (q)', 'Javelin throw', '55.51 m']. ['2011', 'Pan American Games', 'Guadalajara, Mexico', '7th', 'Javelin throw', '51.40 m']
Answer: which competitions has olivia mckoy participated in?
Question: Table: ['Parish Est', 'Church', 'City', 'Current Bldg begun', 'Weekly collections', 'Notes']. ['1846', 'Shrine of the Immaculate Conception', 'Atlanta', '1869', '$10,000', '[1]']. ['1880', 'Sacred Heart Basilica', 'Atlanta', '1897', '$18,000', '[2]']. ['1903', 'Saint Anthony of Padua Catholic Church', 'Atlanta', '1911', '?', '[3]']. ['1912', 'Our Lady of Lourdes Catholic Church', 'Atlanta', '1960', '?', '[4]']. ['1936', 'Cathedral of Christ the King', 'Atlanta', '1937', '$70,000', '[5]']. ['1941', 'Saint Thomas More Catholic Church', 'Decatur', '1952', '$23,000', '[6]']. ['1951', 'Our Lady of the Assumption Catholic Church', 'Atlanta', '1957', '$16,000', '[7]']. ['1954', 'Saint Paul of The Cross Catholic Church', 'Atlanta', '1957', '?', '[8]']. ['1958', 'Immaculate Heart of Mary Catholic Church', 'Atlanta', '2006', '$26,000', '[9]']. ['1960', 'Saint Jude The Apostle Catholic Church', 'Atlanta', '1962', '?', '[10]']. ['1960', 'Saint Luke The Evangelist Catholic Church', 'Dahlonega', '1898', '$4,500', '[11]']. ['1960', 'Most Blessed Sacrament Catholic Church', 'Atlanta', '1989', '$4,000', '[12]']. ['1964', 'Catholic Church of the Holy Cross', 'Atlanta', '1989', '?', '[13]']. ['1964', 'Holy Spirit Catholic Church', 'Atlanta', '1977', '?', '[14]']. ['1965', 'Our Lady of Perpetual Help Catholic Church', 'Carrollton', '1962', '$9,000', '[15]']. ['1984', 'Christ Our Hope Catholic Church', 'Lithonia', '2000', '??', '[16]']. ['1999', 'Saint Francis de Sales Catholic Church', 'Mableton', '1999', '??', '[17]']. ['2000', 'Saint Brigid Catholic Church', 'Johns Creek', '2002', '$50,000', '[18]']
Answer: which catholic churches exist in the city of atlanta?
Question: Table: ['', 'Country', 'Builder', 'Location', 'Ship', 'Class / type']. ['6 March', 'United States', 'John Roach and Son', 'Chester, Pennsylvania', 'City of Rio de Janeiro', 'Passenger ship']. ['13 May', 'Germany', 'Kaiserliche Werft Wilhelmshaven', 'Wilhelmshaven', 'Bayern', 'Sachsen-class ironclad']. ['13 June', 'United Kingdom', 'Royal Dockyard', 'Devonport, Devon', 'Pegasus', 'Doterel-class sloop']. ['31 August', 'United Kingdom', 'Royal Dockyard', 'Sheerness', 'Gannet', 'Doterel-class sloop']. ['23 October', 'Norway', 'Karljohansverns Verft', 'Horten', 'Nor', 'Vale-class gunboat']. ['1 November', 'Norway', 'Karljohansverns Verft', 'Horten', 'Brage', 'Vale-class gunboat']. ['9 November', 'Germany', 'A. G. Vulcan', 'Stettin', 'Wurttemberg', 'Sachsen-class ironclad']
Answer: | what class is the nor?
| 7 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Ex Input:
Table: ['Wager', 'Winner', 'Loser', 'Location', 'Date', 'Notes']. ['Hair', 'Psycho Clown', 'Super Crazy', 'Mexico City, Distrito Federal', 'May 29, 2011', 'Six man tag team steel cage Masks vs. Hairs match, where Los Perros del Mal (Crazy, El Hijo del Perro Aguayo and Damian 666) faced Los Psycho Circus (Psycho Clown, Monster Clown and Murder Clown).']. ['Hair', 'Halloween', 'Coco Rojo', 'Tlalnepantla de Baz, State of Mexico', 'July 10, 2011', 'Steel cage match, where Los Perros del Mal (Halloween, Damian 666 and Ek Balam) faced Los Payasos Tricolor (Coco Rojo, Coco Azul and Coco Amarillo) and Los Psycho Circus (Monster Clown, Murder Clown and Psycho Clown).']. ['Hair', 'Psycho Clown', 'X-Fly', 'Guadalajara, Jalisco', 'July 31, 2011', 'Six man tag team steel cage Masks vs. Hairs match, where Los Perros del Mal (X-Fly, Damian 666 and Halloween) faced Los Psycho Circus.']. ['Title', 'Damian 666', 'Monster Clown', 'Naucalpan, Mexico', 'August 28, 2011', 'Four tag team steel cage match, where Los Psycho Circus put their IWRG Intercontinental Trios Championship on the line against the hairs/masks of Los Perros del Mal (Damian 666, Bestia 666 and X-Fly), Los Temerarios (Black Terry, Durok and Machin) and Los Villanos (Kortiz, Ray Mendoza, Jr. and Villano IV).']. ['Hair', 'Monster Clown, Murder Clown and Psycho Clown', 'Halloween, Damian 666 and Nicho el Millonario', 'Monterrey, Nuevo Leon', 'October 9, 2011', 'Steel cage Masks vs. Hairs match.']. ['Hair', 'Psicosis', 'Joe Lider', 'Mexico City', 'August 5, 2012', '']. ['Hair', 'Dark Cuervo', 'Halloween', 'San Luis Potosi, San Luis Potosi', 'October 7, 2012', 'Domo de la Muerte, where Los Perros del Mal (Halloween, El Hijo del Perro Aguayo, Psicosis and Teddy Hart) faced Dark Cuervo, Cibernetico, Dark Ozz and Jack Evans.']
Ex Output:
what are the wagers?
Ex Input:
Table: ['Name', 'Audition taken in', 'Gang', 'Notes']. ['Nauman Sait', 'Bangalore', 'Om Blues', 'Winner of SEASON 6 : HELL DOWN UNDER. Won total prize money of Rs. 3,62,000 and A Hero Honda Karizma, Voted out in the 4th episode, re-entered in 7th episode defeating Pradeep in Zorb Task. Nauman defeated Lonkiri in finals.']. ['Longkiri Timung (Kiri)', 'Kolkata', 'Om Blues', 'Runner-up. Won a Hero Honda Karizma, Evicted in the 7th episode by challenge from Sufi in Ladder Task. Brought back in 13th episode by vote-in from the fellow contestants, where he defeated Sufi and Natasha in Plank Task. Lost to Nauman in the finals.']. ['Gurmeet Kaur Johal (Palak)', 'Bangalore', 'Om Blues', 'Won A Hero Honda Karizma, Voted out in the 3rd episode, re-entered in 7th episode defeating Bobby in Mechanical Bull task. Evicted by Longkiri in semi final task.']. ['Natasha Sinha', 'Chandigarh', 'Brats', 'Voted out in the 11th episode. Brought back in 13th episode but failed in Plank task.']. ['Puneet Malhotra (Sufi)', 'Mumbai', '', 'Won A Hero Honda Karizma, Voted out in the 1st episode, re-entered in 7th episode defeating Longkiri in Ladder task. Voted out in the 10th episode. Brought back in 13th episode but failed in Plank task']. ['Paulami De', 'Kolkata', 'Om Blues', 'Voted out in the 12th episode.']. ['Samrat Kaushal', 'Ahmedabad', 'Om Blues', 'Won A Hero Honda Karizma, Voted out in the 9th episode.']. ['Tamanna Sharma (Tammy)', 'Chandigarh', 'Om Blues', 'GOT A Hero Honda Karizma from Suraj aka Nagesh(Roadies Season 8.0), Voted out in the 8th episode.']. ['Sandeep Singh (Sandy)', 'New Delhi', 'Brats', 'Voted out in the 7th episode.']. ['Bobby Chopra', 'New Delhi', 'Brats', 'Evicted in the 7th episode by challenge from Palak in Mechanical Bull task.']. ['Pradeep Singh', 'New Delhi', 'Brats', 'Evicted in the 7th episode by challenge from Nauman in Zorb task.']. ['Suzanna Mukherjee (Suzi)', 'Mumbai', 'Brats', 'Voted out in the 6th episode.']. ['Roop Bhinder', 'New Delhi', 'Brats', 'Voted out in the 5th episode.']. ['Devarshi Patel (Dev)', 'Ahmedabad', 'Om Blues', 'Eliminated himself in the 5th episode by voluntarily entering a Casket.']. ['Varisha Hawelia', 'Kolkata', 'Om Blues', 'Voted out in the 2nd episode.']. ['Sonia Chauhan', 'Chandigarh', '', 'Evicted in the 1st episode, after losing the obstacle race challenge.']. ['Bhanu Pratap Singh Rana', 'Ahmedabad', '', 'Evicted in the 1st episode, after losing the obstacle race challenge.']. ['Neha Kapoor', 'New Delhi', '', 'Evicted in the 1st episode, after losing the obstacle race challenge.']. ['Ankur Khanduja', 'Chandigarh', '', 'Evicted in the 1st episode, after losing the obstacle race challenge.']. ['Vicky Arora', 'Ahmedabad', '', 'Evicted in the 1st episode, after losing the obstacle race challenge.']
Ex Output:
who where the participants of mtv roadies( season 6)?
Ex Input:
Table: ['Draw', 'Artist', 'Song', 'Jury', 'Televote', 'Total', 'Place']. ['1', 'Kasia Nova', 'The Devil', '0', '1', '1', '11']. ['2', 'Edi Ann', "Lovin'U", '7', '5', '12', '4']. ['3', 'Izabela Kopec', "You've got my love", '4', '6', '10', '6']. ['4', 'Starnawski & Urban Noiz', "It's not a game", '5', '0', '5', '10']. ['5', 'Queens', 'I say my body', '0', '0', '0', '12']. ['6', 'Isis Gee', 'For life', '12', '12', '24', '1']. ['7', 'Man Meadow', 'Viva la Musica', '2', '10', '12', '3']. ['8', 'Afromental', "Thing we've got", '3', '4', '7', '9']. ['9', 'Plastic', 'Do something', '10', '2', '12', '5']. ['10', 'Sandra Oxenryd', 'Superhero', '6', '3', '9', '8']. ['11', 'Natasza Urbanska', 'Blow Over', '8', '7', '15', '2']. ['12', 'Margo', 'Dlatego walcz', '1', '8', '9', '7']
Ex Output:
| how many jury votes did kasia nova receive?
| 1 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
[Q]: Table: ['Place', 'Position', 'Number', 'Name', 'League Two', 'FA Cup', 'League Cup', 'FL Trophy', 'Total']. ['1', 'MF', '4', 'Ryan Hall', '10', '1', '0', '3', '14']. ['2', 'DF', '6', 'Bilel Mohsni', '13', '0', '0', '0', '13']. ['3', 'FW', '22', 'Liam Dickinson', '10', '1', '0', '1', '12']. ['4', 'FW', '9', 'Neil Harris', '9', '0', '0', '1', '10']. ['5', 'DF', '15', 'Mark Phillips', '7', '0', '1', '0', '8']. ['6', 'MF', '12', 'Kane Ferdinand', '7', '0', '0', '0', '7']. ['7', 'MF', '8', 'Michael Timlin', '4', '0', '0', '0', '4']. ['8', 'MF', '14', 'Dave Martin', '3', '0', '0', '0', '3']. ['=', 'DF', '3', 'Peter Gilbert', '3', '0', '0', '0', '3']. ['10', 'FW', '24', 'Elliot Benyon', '2', '0', '0', '0', '2']. ['=', 'FW', '37', 'Freddy Eastwood', '2', '0', '0', '0', '2']. ['12', 'MF', '18', 'Ryan Leonard', '1', '0', '0', '0', '1']. ['=', 'FW', '21', 'Blair Sturrock', '0', '0', '0', '1', '1']. ['=', 'MF', '19', 'Jean-Paul Kalala', '1', '0', '0', '0', '1']. ['=', 'DF', '16', 'Luke Prosser', '1', '0', '0', '0', '1']. ['=', 'MF', '7', 'Anthony Grant', '1', '0', '0', '0', '1']. ['=', 'DF', '23', 'Chris Barker', '1', '0', '0', '0', '1']. ['', '', '', 'Own goals', '4', '0', '0', '0', '4']. ['', '', '', 'TOTALS', '79', '2', '1', '6', '88']
[A]: who competed in the 2011-12 southend united f.c. season?
[Q]: Table: ['Home team', 'Score', 'Visiting team', 'Location', 'Venue', 'Door', 'Surface']. ['Kazakhstan', '3 - 1', 'Uzbekistan', 'Astana', 'National Tennis Centre', 'Indoor', 'Clay']. ['Germany', '3 - 2', 'Australia', 'Hamburg', 'Rothenbaum Stadium', 'Outdoor', 'Clay']. ['Japan', '2 - 3', 'Israel', 'Tokyo', 'Ariake Coliseum', 'Outdoor', 'Hard']. ['Belgium', '5 - 0', 'Sweden', 'Brussels', 'Royal Primerose Tennis Club', 'Outdoor', 'Clay']. ['Canada', '4 - 1', 'South Africa', 'Montreal', 'Uniprix Stadium', 'Outdoor', 'Hard']. ['Brazil', '5 - 0', 'Russia', 'Sao Jose do Rio Preto', 'Harmonia Tenis Clube', 'Outdoor', 'Clay']. ['Italy', '4 - 1', 'Chile', 'Napoli', 'Tennis Club Napoli', 'Outdoor', 'Clay']. ['Netherlands', '2 - 3', 'Switzerland', 'Amsterdam', 'Westergasfabriek', 'Outdoor', 'Clay']
[A]: what teams played in the cup?
[Q]: Table: ['Rank', 'Nation', 'Gold', 'Silver', 'Bronze', 'Total']. ['1', 'Soviet Union', '50', '27', '22', '99']. ['2', 'United States', '33', '31', '30', '94']. ['3', 'East Germany (GDR)', '20', '23', '23', '66']. ['4', 'West Germany (FRG)', '13', '11', '16', '40']. ['5', 'Japan', '13', '8', '8', '29']. ['6', 'Australia', '8', '7', '2', '17']. ['7', 'Poland', '7', '5', '9', '21']. ['8', 'Hungary', '6', '13', '16', '35']. ['9', 'Bulgaria', '6', '10', '5', '21']. ['10', 'Italy', '5', '3', '10', '18']
[A]: | which nations competed?
| 5 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Example solution: What team is Player Paul Coleman from?
Example explanation: The question is based on the information given in the table and can be answered from the given table.
Problem: Table: ['Rank', 'Nation', 'Gold', 'Silver', 'Bronze', 'Total']. ['1', 'Soviet Union', '50', '27', '22', '99']. ['2', 'United States', '33', '31', '30', '94']. ['3', 'East Germany (GDR)', '20', '23', '23', '66']. ['4', 'West Germany (FRG)', '13', '11', '16', '40']. ['5', 'Japan', '13', '8', '8', '29']. ['6', 'Australia', '8', '7', '2', '17']. ['7', 'Poland', '7', '5', '9', '21']. ['8', 'Hungary', '6', '13', '16', '35']. ['9', 'Bulgaria', '6', '10', '5', '21']. ['10', 'Italy', '5', '3', '10', '18']
| Solution: which nations competed? | 5 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
One example is below.
Q: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
A: What team is Player Paul Coleman from?
Rationale: The question is based on the information given in the table and can be answered from the given table.
Q: Table: ['Score', '2007', '2008', '2009', '2010', '2011', '2012', '2013']. ['5', '15.3%', '18.4%', '18.0%', '17.1%', '17.0%', '16.4%', '18.9%']. ['4', '18.0%', '17.5%', '17.9%', '18.5%', '18.4%', '19.3%', '21.5%']. ['3', '23.0%', '20.0%', '20.2%', '19.3%', '19.5%', '20.1%', '18.8%']. ['2', '18.5%', '14.3%', '14.2%', '12.7%', '14.6%', '15.0%', '14.9%']. ['1', '25.3%', '29.9%', '29.8%', '32.3%', '30.4%', '29.2%', '26.0%']. ['Mean', '2.79', '2.80', '2.80', '2.76', '2.77', '2.79', '2.92']. ['Number of Students', '97,136', '100,586', '104,789', '115,077', '122,651', '132,425', '140,006']
A: | what are all of the scores? | 9 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Table: ['Year', 'Numer of Jamaicans granted British citizenship', 'Naturalisation by residence', 'Naturalisation by marriage', 'Registration of a minor child', 'Registration by other means']. ['1997', '732', '327', '279', '114', '12']. ['1998', '1,370', '571', '564', '221', '14']. ['1999', '1,437', '678', '526', '226', '7']. ['2000', '1,882', '927', '664', '281', '10']. ['2001', '2,070', '1,025', '710', '330', '0']. ['2002', '2,025', '1,035', '705', '285', '0']. ['2003', '2,795', '1,285', '985', '520', '5']. ['2004', '3,180', '1,415', '1,060', '640', '65']. ['2005', '3,515', '1,585', '1,080', '770', '80']. ['2006', '2,525', '1,110', '710', '655', '55']. ['2007', '3,165', '1,575', '825', '725', '45']. ['2008', '2,715', '1,275', '695', '700', '45']
how many jamaicans have received citizenship recently?
Table: ['Mine', 'Province', 'Coordinates', 'Town', 'Dates', 'Comments']. ['Barton Mine*', 'Ontario', "47deg07'08.75''N 79deg47'09.58''W / 47.1190972degN 79.7859944degW", 'Temagami', '1906-1918', 'Secondary products included gold, silver, copper and bismuth.']. ['Beanland Mine', 'Ontario', "47deg05'28.71''N 79deg49'30.83''W / 47.0913083degN 79.8252306degW", 'Temagami', '1937-1938', 'Also produced silver']. ['Big Dan Mine', 'Ontario', "47deg05'28.53''N 79deg46'28.95''W / 47.0912583degN 79.7747083degW", 'Temagami', '1906-1907', 'Also produced silver and arsenic']. ['Copperfields Mine*', 'Ontario', "46deg57'44.41''N 80deg02'13.67''W / 46.9623361degN 80.0371306degW", 'Temagami', '1954-1972', 'Secondary products included cobalt, gold, nickel, palladium, platinum and silver.']. ['Dome Mine', 'Ontario', '', 'Timmins', '', '']. ['Golden Giant Mine', 'Ontario', '', 'Hemlo', '1985-2006', '']. ['Hermiston-McCauley Mine', 'Ontario', "47deg05'54.30''N 79deg49'38.18''W / 47.0984167degN 79.8272722degW", 'Temagami', '1935-1940', '']. ['Kanichee Mine*', 'Ontario', "47deg06'13.07''N 79deg50'38.63''W / 47.1036306degN 79.8440639degW", 'Temagami', '1937-1948, 1948-1949, 1973-1976', 'Secondary products included gold, palladium, silver and platinum.']. ['Leckie Mine', 'Ontario', "47deg05'36.34''N 79deg47'48.68''W / 47.0934278degN 79.7968556degW", 'Temagami', '~1900-1909, 1933-1937', 'Also produced arsenic, copper and silver']. ['McIntyre Mines', 'Ontario', '', '', '', '']. ['Norrie Mine*', 'Ontario', "47deg06'59.59''N 79deg46'27.63''W / 47.1165528degN 79.7743417degW", 'Temagami', 'Prior to 1920', 'Secondary products included lead, gold, zinc and silver.']. ['Northland Pyrite Mine*', 'Ontario', "47deg10'26.24''N 79deg44'34.45''W / 47.1739556degN 79.7429028degW", 'Temagami', '1906-1911', 'Secondary products included cobalt, copper, zinc, gold and nickel.']. ['Red Lake Mine', 'Ontario', '', 'Red Lake', '', '']. ['Temagami-Lorrain Mine', 'Ontario', "47deg06'39.79''N 79deg40'58.2''W / 47.1110528degN 79.682833degW", 'Temagami', 'Prior to 1912', 'Also produced cobalt, arsenic, silver, nickel and copper']
what are all the mines with dates listed?
Table: ['Score', '2007', '2008', '2009', '2010', '2011', '2012', '2013']. ['5', '15.3%', '18.4%', '18.0%', '17.1%', '17.0%', '16.4%', '18.9%']. ['4', '18.0%', '17.5%', '17.9%', '18.5%', '18.4%', '19.3%', '21.5%']. ['3', '23.0%', '20.0%', '20.2%', '19.3%', '19.5%', '20.1%', '18.8%']. ['2', '18.5%', '14.3%', '14.2%', '12.7%', '14.6%', '15.0%', '14.9%']. ['1', '25.3%', '29.9%', '29.8%', '32.3%', '30.4%', '29.2%', '26.0%']. ['Mean', '2.79', '2.80', '2.80', '2.76', '2.77', '2.79', '2.92']. ['Number of Students', '97,136', '100,586', '104,789', '115,077', '122,651', '132,425', '140,006']
| what are all of the scores?
| 0 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
One example is below.
Q: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
A: What team is Player Paul Coleman from?
Rationale: The question is based on the information given in the table and can be answered from the given table.
Q: Table: ['Kategori', '1995', '2004', '2005', '2006', '2007']. ['Best Movie', 'Pencet Sana Pencet Sini', 'Arisan', 'Janji Joni', 'Berbagi Suami', 'Nagabonar Jadi 2']. ['Best Director', 'Arizal (Pencet Sana Pencet Sini)', 'Nia Dinata (Arisan)', 'Garin Nugroho (Rindu Kami Padamu)', 'Riri Riza (Gie)', 'John de Rantau (Denias, Senandung di Atas Awan)']. ['Most Favourite Movie', 'Catatan Si Emon', "Eiffel I'm in Love", 'Ungu Violet', 'Heart', '']. ['Most Favourite Actor', 'Onky Alexander (Catatan Tante Sonya)', "Samuel Rizal (Eiffel I'm In Love)", 'Nicholas Saputra (Janji Joni)', 'Nicholas Saputra (Gie)', 'Tora Sudiro (Nagabonar Jadi 2)']. ['Most Favorite Actress', 'Ayu Azhari (Catatan Tante Sonya)', 'Nirina Zubir(30 hari Mencari Cinta)', 'Dian Sastrowardoyo (Ungu Violet)', 'Titi Kamal (Mendadak Dangdut)', 'Dinna Olivia (Mengejar Mas-Mas)']. ['Most Favourite Supporting Actor', 'Didi Petet (Catatan Si Emon)', 'Surya Saputra (Arisan)', 'Fauzi Baadila (Tentang Dia)', 'Tio Pakusadewo (Berbagi Suami)', 'Winky Wiryawan (Badai Pasti Berlalu)']. ['Most Favourite Supporting Actress', 'Cornelia Agatha (Lupus)', "Titi Kamal (Eiffel I'm In Love)", 'Mariana Renata (Janji Joni)', 'Ria Irawan (Berbagi Suami)', 'Wulan Guritno (Nagabonar Jadi 2)']. ['Best Crying Scene', 'Nita Tilana (Surat Untuk Bidadari)', 'Winky Wiryawan (Mengejar Matahari)', 'Putri Mulia (Rindu Kami Padamu)', 'Sita Nursanti (Gie)', '']. ['Most Favourite Heart Melting Moment', 'Onky Alexander and Paramitha Rusady (Catatan Si Boy)', 'Vino Bastian and Maria Agnes (30 hari Mencari Cinta)', '', 'Nirina Zubir and Irwansyah (Heart)', '']. ['Best Song in the Movie', 'Kisah Cinta Kita - James F.Sundah and Krisdayanti', 'Mengejar Matahari - Ari Lasso', 'Tentang Dia - Melly Goeslaw and Evan Sanders', 'My Heart - Irwansyah and Acha Septriasa', 'Pulang - Float[disambiguation needed]']. ['Most Favourite Rising Star', 'Krisdayanti (Lupus V)', '', 'Laudya Chintya Bella (Virgin)', 'Jonathan Mulia (Gie)', 'Albert Fakdawer (Denias, Senandung di Atas Awan)']. ['Lifetime Achievement', 'Christine Hakim', '', 'Benyamin Sueb', 'Warkop DKI', 'Deddy Mizwar']. ['Best Scary Scene', 'Hantu Tinta', '', '', '', 'Kuntilanak']. ['Best Running Scene', '', '', '', '', 'Maaf, Saya Menghamili Istri Anda']
A: | what are the names of the movies that won awards? | 9 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
TASK DEFINITION: You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
PROBLEM: Table: ['Pos.', 'Car #', 'Driver', 'Make', 'Team']. ['1', '38', 'Jason Leffler', 'Toyota', 'Braun Racing']. ['2', '16', 'Greg Biffle', 'Ford', 'Roush Fenway Racing']. ['3', '99', 'David Reutimann', 'Toyota', 'Michael Waltrip Racing']. ['4', '60', 'Carl Edwards', 'Ford', 'Roush Fenway Racing']. ['5', '77', 'Ron Hornaday', 'Chevrolet', 'Kevin Harvick Incorporated']. ['6', '20', 'Aric Almirola', 'Chevrolet', 'Joe Gibbs Racing']. ['7', '29', 'Scott Wimmer', 'Chevrolet', 'Richard Childress Racing']. ['8', '42', 'Kevin Hamlin', 'Dodge', 'Chip Ganassi Racing']. ['9', '10', 'Mike Bliss', 'Toyota', 'Braun Racing']. ['10', '88', 'Brad Keselowski', 'Chevrolet', 'JR Motorsports']
SOLUTION: who are all the drivers?
PROBLEM: Table: ['Rank', 'Nation', 'Gold', 'Silver', 'Bronze', 'Total']. ['1', 'South Korea', '11', '1', '2', '14']. ['2', 'Chinese Taipei', '2', '2', '5', '9']. ['3', 'Spain', '2', '0', '4', '6']. ['4', 'Egypt', '1', '0', '0', '1']. ['5', 'France', '0', '2', '1', '3']. ['5', 'Iran', '0', '2', '1', '3']. ['7', 'China', '0', '1', '1', '2']. ['7', 'Cuba', '0', '1', '1', '2']. ['7', 'Greece', '0', '1', '1', '2']. ['7', 'Turkey', '0', '1', '1', '2']. ['11', 'Canada', '0', '1', '0', '1']. ['11', 'Germany', '0', '1', '0', '1']. ['11', 'Morocco', '0', '1', '0', '1']. ['11', 'Philippines', '0', '1', '0', '1']. ['11', 'Russia', '0', '1', '0', '1']. ['16', 'Mexico', '0', '0', '4', '4']. ['17', 'Australia', '0', '0', '3', '3']. ['18', 'Croatia', '0', '0', '2', '2']. ['18', 'United States', '0', '0', '2', '2']. ['20', 'Ecuador', '0', '0', '1', '1']. ['20', 'Saudi Arabia', '0', '0', '1', '1']. ['20', 'Thailand', '0', '0', '1', '1']. ['20', 'Yugoslavia', '0', '0', '1', '1']. ['Total', 'Total', '16', '16', '32', '64']
SOLUTION: what teams had no gold medals?
PROBLEM: Table: ['City of licence', 'Analog channel', 'Digital channel', 'Virtual channel', 'Callsign', 'Network', 'Notes']. ['Brandon', '4', '', '', 'CKYB-TV', 'CTV', 'satellite of CKY-DT Winnipeg']. ['Dauphin', '12', '', '', 'CKYD-TV', 'CTV', 'satellite of CKY-DT Winnipeg']. ['Fisher Branch', '8', '', '', 'CKYA-TV', 'CTV', 'satellite of CKY-DT Winnipeg']. ['Flin Flon', '13', '', '', 'CKYF-TV', 'CTV', 'satellite of CKY-DT Winnipeg']. ['Mccreary', '13', '', '', 'CKYB-TV', 'CTV', 'satellite of CKY-DT Winnipeg']. ['Minnedosa', '2', '', '', 'CKND-TV-2', 'Global', '']. ['The Pas', '12', '', '', 'CKYP-TV', 'CTV', 'satellite of CKY-DT Winnipeg']. ['Portage la Prairie', '', '13', '13.1', 'CHMI-DT', 'City', '']. ['Thompson', '9', '', '', 'CKYT-TV', 'CTV', 'satellite of CKY-DT Winnipeg']. ['Winnipeg', '', '51', '3.1', 'CBWFT-DT', 'R-C', '']. ['Winnipeg', '', '27', '6.1', 'CBWT-DT', 'CBC', '']. ['Winnipeg', '', '7', '7.1', 'CKY-DT', 'CTV', '']. ['Winnipeg', '', '40', '9.1', 'CKND-DT', 'Global', '']. ['Winnipeg', '', '13', '13.1', 'CHMI-DT', 'City', 'MTS TV HD ch. 417 SHAW ch. 8 Bell ch. 228']. ['Winnipeg', '', '35', '35.1', 'CIIT-DT', 'Religious independent', '']
SOLUTION: | what are the callsigns shown?
| 8 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
Detailed Instructions: You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
See one example below:
Problem: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Solution: What team is Player Paul Coleman from?
Explanation: The question is based on the information given in the table and can be answered from the given table.
Problem: Table: ['School', 'Team Name', 'Town', 'County', 'Enrollment (2010-11 & 2011-12)', 'Primary MSHSAA class*', 'Football class']. ['Benton High School', '(Lady) Cardinals', 'St. Joseph', 'Buchanan', '846', '4', '4']. ['Bishop LeBlond High School', '(Lady) Golden Eagles', 'St. Joseph', 'Buchanan', '314', '3', '2']. ['Cameron High School', '(Lady) Dragons', 'Cameron', 'Clinton', '503', '3', '3']. ['Chillicothe High School (Missouri)', '(Lady) Hornets', 'Chillicothe', 'Livingston', '638', '4', '3']. ['Lafayette High School', 'Fighting Irish', 'St. Joseph', 'Buchanan', '801', '4', '4']. ['Maryville High School', '(Lady) Spoofhounds', 'Maryville', 'Nodaway', '473', '3', '2']. ['Savannah High School', '(Lady) Savages', 'Savannah', 'Andrew', '743', '4', '4']. ['Smithville High School', '(Lady) Warriors', 'Smithville', 'Clay', '727', '4', '4']
Solution: | what team uses green and grey as colors? | 4 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Q: Table: ['Pos', 'Driver', 'Entrant', 'Constructor', 'Time/Retired', 'Grid']. ['1', 'Jim Clark', 'Team Lotus', 'Lotus-Climax', '2.02:58.6', '1']. ['2', 'Richie Ginther', 'Owen Racing Organisation', 'BRM', '+ 22.6 s', '3']. ['3', 'Graham Hill', 'Owen Racing Organisation', 'BRM', '+ 28.2 s', '2']. ['4', 'Jack Brabham', 'Brabham Racing Organisation', 'Brabham-Climax', '+ 52.0 s', '11']. ['5', 'Tony Maggs', 'Cooper Car Company', 'Cooper-Climax', '72 laps', '6']. ['6', 'Bruce McLaren', 'Cooper', 'Cooper-Climax', '72 laps', '7']. ['7', 'Mike Hailwood', 'Reg Parnell (Racing)', 'Lola-Climax', '70 laps', '9']. ['8', 'Ian Burgess', 'Scirocco-Powell (Racing Cars)', 'Scirocco-BRM', '69 laps', '18']. ['9', 'Peter Revson', 'Reg Parnell (Racing)', 'Lotus-BRM', '69 laps', '15']. ['10', 'Carel Godin de Beaufort', 'Ecurie Maarsbergen', 'Porsche', '67 laps', '20']. ['11', 'Jo Siffert', 'Siffert Racing Team', 'Lotus-BRM', 'Engine (66 laps)', '12']. ['12', 'Andre Pilette', 'Andre Pilette', 'Lotus-Climax', '63 laps', '21']. ['13', 'Innes Ireland', 'British Racing Partnership', 'Lotus-BRM', 'Oil pressure (56 laps)', '5']. ['14', 'Bernard Collomb', 'Bernard Collomb', 'Lotus-Climax', 'Oil pressure (46 laps)', '19']. ['Ret', 'Ian Raby', 'Ian Raby (Racing)', 'Gilby-BRM', 'Ignition', '13']. ['Ret', 'Dan Gurney', 'Brabham Racing Organisation', 'Brabham-Climax', 'Oil leak', '16']. ['Ret', 'Mike Beckwith', 'British Racing Partnership', 'Lotus-BRM', 'Accident', '17']. ['Ret', 'Masten Gregory', 'Tim Parnell', 'Lotus-BRM', 'Cam follower', '14']. ['Ret', 'Trevor Taylor', 'Team Lotus', 'Lotus-Climax', 'Crownwheel & pinion', '4']. ['Ret', 'Jo Bonnier', 'Rob Walker Racing Team', 'Cooper-Climax', 'Oil pressure', '8']. ['Ret', 'Tony Settember', 'Scirocco-Powell (Racing Cars)', 'Scirocco-BRM', 'Valve gear', '22']. ['Ret', 'Bob Anderson', 'DW Racing Enterprises', 'Lola-Climax', 'Gearbox', '10']. ['WD', 'Peter Arundell', 'Team Lotus', 'Lotus-Climax', 'Car not ready', '-']
A: who are all the drivers?
****
Q: Table: ['Finalist', 'Age', 'From', 'Dress colour', 'Status']. ['Laura Sicurello', '26', 'Milton Keynes', 'Yellow', 'Eliminated 1st in week 1']. ['Belinda Evans', '28', 'Somerset', 'Dark blue', 'Eliminated 2nd in week 2']. ['Meliz Serman', '23', 'Chingford, London', 'Gold', 'Eliminated 3rd in week 3']. ['Simona Armstrong', '28', 'Romania', 'Purple', 'Eliminated 4th in week 4']. ['Leanne Dobinson', '20', 'Colchester', 'Lilac', 'Eliminated 5th in week 4']. ['Abi Finley', '23', 'Manchester', 'Light blue', 'Eliminated 6th in week 5']. ['Aoife Mulholland', '28', 'Salthill', 'Green', 'Eliminated 7th in week 5']. ['Siobhan Dillon', '21', 'Staffordshire', 'Red', 'Third place']. ['Helena Blackman', '23', 'Southampton', 'Pink', 'Second place']. ['Connie Fisher', '23', 'Pembrokeshire', 'Orange', 'Winner']
A: who where the finalists in how do you solve a problem like maria?
****
Q: Table: ['School', 'Team Name', 'Town', 'County', 'Enrollment (2010-11 & 2011-12)', 'Primary MSHSAA class*', 'Football class']. ['Benton High School', '(Lady) Cardinals', 'St. Joseph', 'Buchanan', '846', '4', '4']. ['Bishop LeBlond High School', '(Lady) Golden Eagles', 'St. Joseph', 'Buchanan', '314', '3', '2']. ['Cameron High School', '(Lady) Dragons', 'Cameron', 'Clinton', '503', '3', '3']. ['Chillicothe High School (Missouri)', '(Lady) Hornets', 'Chillicothe', 'Livingston', '638', '4', '3']. ['Lafayette High School', 'Fighting Irish', 'St. Joseph', 'Buchanan', '801', '4', '4']. ['Maryville High School', '(Lady) Spoofhounds', 'Maryville', 'Nodaway', '473', '3', '2']. ['Savannah High School', '(Lady) Savages', 'Savannah', 'Andrew', '743', '4', '4']. ['Smithville High School', '(Lady) Warriors', 'Smithville', 'Clay', '727', '4', '4']
A: | what team uses green and grey as colors?
****
| 4 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Let me give you an example: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
The answer to this example can be: What team is Player Paul Coleman from?
Here is why: The question is based on the information given in the table and can be answered from the given table.
OK. solve this:
Table: ['Tie', 'Home Team', 'Score', 'Away Team', 'Attendance']. ['1', 'Aylesbury United', '2-2', 'Windsor & Eton', '847']. ['2', 'Burscough', '5-0', 'Wakefield & Emley', '437']. ['3', 'Dover Athletic', '0-3', 'Forest Green Roves', '932']. ['4', 'Farnborough Town', '2-0', 'Halifax Town', '863']. ['5', 'Gloucester City', '1-1', 'Southport', '1,237']. ['6', 'Havant & Waterlooville', '3-0', 'Hayes', '456']. ['7', 'Margate', '0-2', 'Tamworth', '971']. ['8', 'Yeovil Town', '2-1', 'Northwich Victoria', '4,469']
Answer: | which games had one team scoring zero points? | 8 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
Teacher: You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Teacher: Now, understand the problem? If you are still confused, see the following example:
Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Solution: What team is Player Paul Coleman from?
Reason: The question is based on the information given in the table and can be answered from the given table.
Now, solve this instance: Table: ['Afrikaans', 'IPA', 'Dutch', 'English', 'German']. ['Hallo! Hoe gaan dit?', '[hal@u hu xa.n d@t]', 'Hallo! Hoe gaat het (met je/jou/u)? Also used: Hallo! Hoe is het?', 'Hello! How is it going? (Hello! How are you?)', "Hallo! Wie geht's? (Hallo! Wie geht's dir/Ihnen?)"]. ['Baie goed, dankie.', '[baj@ xu.t daNGki]', 'Heel goed, dank je.', 'Very well, thank you.', 'Sehr gut, danke.']. ['Praat jy Afrikaans?', '[pra.t j@i afrika.s]', 'Spreek/Praat je/jij Afrikaans?', 'Do you speak Afrikaans?', 'Sprichst du Afrikaans?']. ['Praat jy Engels?', '[pra.t j@i eNG@ls]', 'Spreek/Praat je/jij Engels?', 'Do you speak English?', 'Sprichst du Englisch?']. ['Ja.', '[ja.]', 'Ja.', 'Yes.', 'Ja.']. ['Nee.', '[ne.@]', 'Nee.', 'No.', 'Nein.']. ["'n Bietjie.", '[@ biki]', 'Een beetje.', 'A bit.', 'Ein bisschen.']. ['Wat is jou naam?', '[vat @s j@u na.m]', 'Hoe heet je? / Wat is jouw naam?', 'What is your name?', 'Wie heisst du? / Wie ist dein Name?']. ['Die kinders praat Afrikaans.', '[di k@n@rs pra.t afrika.ns]', 'De kinderen spreken/praten Afrikaans.', 'The children speak Afrikaans.', 'Die Kinder sprechen Afrikaans.']. ['Ek is lief vir jou. Less common: Ek het jou lief.', '[aek @s lif vWr j@U]', 'Ik hou van je/jou. Common in Southern Dutch: Ik heb je/jou/u lief.', 'I love you.', 'Ich liebe dich. Also: Ich habe dich lieb. (Colloquial; virtually no romantic connotation)']
Student: | what are the afrikaans phrases? | 2 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
instruction:
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
question:
Table: ['Year', 'Competition', 'Venue', 'Position', 'Notes']. ['2002', 'European Championships', 'Munich, Germany', '6th', '7.78 m']. ['2003', 'World Championships', 'Paris, France', '9th', '7.93 m']. ['2004', 'Olympic Games', 'Athens, Greece', '5th', '8.25 m']. ['2006', 'European Championships', 'Gothenburg, Sweden', '9th', '7.74 m']. ['2008', 'World Indoor Championships', 'Valencia, Spain', '2nd', '8.06 m']. ['2008', 'Olympic Games', 'Beijing, China', '27thq', '7.70 m']. ['2009', 'World Championships', 'Berlin, Germany', '8th', '8.06 m']. ['2010', 'European Championships', 'Barcelona, Spain', '3rd', '8.23 m']. ['2011', 'European Team Championships', 'Stockholm, Sweden', '3rd', '8.12 m']. ['2011', 'World Championships', 'Daegu, South Korea', '11th', '7.87 m']. ['2012', 'Olympic Games', 'London, England', '6th', '8.07 m']. ['2013', 'European Indoor Championships', 'Gothenburg, Sweden', '7th', '7.95 m']
answer:
during which years did chris tomlinson compete?
question:
Table: ['Language', 'Totora Municipality', 'Pojo Municipality', 'Pocona Municipality', 'Chimore Municipality', 'Puerto Villarroel Municipality', 'Entre Rios Municipality']. ['Quechua', '11,671', '10,203', '12,482', '9,596', '29,940', '14,789']. ['Aymara', '72', '74', '39', '965', '1,590', '907']. ['Guarani', '7', '9', '3', '19', '39', '41']. ['Another native', '16', '9', '6', '424', '235', '27']. ['Spanish', '4,967', '4,991', '4,954', '11,530', '29,377', '17,164']. ['Foreign', '32', '15', '22', '128', '199', '142']. ['Only native', '7,060', '5,623', '7,706', '2,518', '8,131', '3,207']. ['Native and Spanish', '4,645', '4,598', '4,790', '7,811', '22,426', '11,864']. ['Only Spanish', '322', '393', '166', '3,726', '6,956', '5,314']
answer:
which languages are spoken in carrasco province?
question:
Table: ['Pos', 'No', 'Driver', 'Constructor', 'Laps', 'Time/Retired', 'Grid', 'Points']. ['1', '4', 'Robert Kubica', 'BMW Sauber', '70', '1:36:24.227', '2', '10']. ['2', '3', 'Nick Heidfeld', 'BMW Sauber', '70', '+16.495', '8', '8']. ['3', '9', 'David Coulthard', 'Red Bull-Renault', '70', '+23.352', '13', '6']. ['4', '12', 'Timo Glock', 'Toyota', '70', '+42.627', '11', '5']. ['5', '2', 'Felipe Massa', 'Ferrari', '70', '+43.934', '6', '4']. ['6', '11', 'Jarno Trulli', 'Toyota', '70', '+47.775', '14', '3']. ['7', '17', 'Rubens Barrichello', 'Honda', '70', '+53.597', '9', '2']. ['8', '15', 'Sebastian Vettel', 'Toro Rosso-Ferrari', '70', '+54.120', '19', '1']. ['9', '23', 'Heikki Kovalainen', 'McLaren-Mercedes', '70', '+54.433', '7', '']. ['10', '7', 'Nico Rosberg', 'Williams-Toyota', '70', '+54.749', '5', '']. ['11', '16', 'Jenson Button', 'Honda', '70', '+1:07.540', '20', '']. ['12', '10', 'Mark Webber', 'Red Bull-Renault', '70', '+1:11.299', '10', '']. ['13', '14', 'Sebastien Bourdais', 'Toro Rosso-Ferrari', '69', '+1 Lap', '18', '']. ['Ret', '21', 'Giancarlo Fisichella', 'Force India-Ferrari', '51', 'Spun off', '17', '']. ['Ret', '8', 'Kazuki Nakajima', 'Williams-Toyota', '46', 'Accident', '12', '']. ['Ret', '5', 'Fernando Alonso', 'Renault', '44', 'Spun off', '4', '']. ['Ret', '6', 'Nelson Piquet Jr.', 'Renault', '43', 'Brakes', '15', '']. ['Ret', '1', 'Kimi Raikkonen', 'Ferrari', '19', 'Collision', '3', '']. ['Ret', '22', 'Lewis Hamilton', 'McLaren-Mercedes', '19', 'Collision', '1', '']. ['Ret', '20', 'Adrian Sutil', 'Force India-Ferrari', '13', 'Gearbox', '16', '']
answer:
| how many laps did kimi raikkonen go?
| 9 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
One example: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Solution is here: What team is Player Paul Coleman from?
Explanation: The question is based on the information given in the table and can be answered from the given table.
Now, solve this: Table: ['Wager', 'Winner', 'Loser', 'Location', 'Date', 'Notes']. ['Hair', 'Psycho Clown', 'Super Crazy', 'Mexico City, Distrito Federal', 'May 29, 2011', 'Six man tag team steel cage Masks vs. Hairs match, where Los Perros del Mal (Crazy, El Hijo del Perro Aguayo and Damian 666) faced Los Psycho Circus (Psycho Clown, Monster Clown and Murder Clown).']. ['Hair', 'Halloween', 'Coco Rojo', 'Tlalnepantla de Baz, State of Mexico', 'July 10, 2011', 'Steel cage match, where Los Perros del Mal (Halloween, Damian 666 and Ek Balam) faced Los Payasos Tricolor (Coco Rojo, Coco Azul and Coco Amarillo) and Los Psycho Circus (Monster Clown, Murder Clown and Psycho Clown).']. ['Hair', 'Psycho Clown', 'X-Fly', 'Guadalajara, Jalisco', 'July 31, 2011', 'Six man tag team steel cage Masks vs. Hairs match, where Los Perros del Mal (X-Fly, Damian 666 and Halloween) faced Los Psycho Circus.']. ['Title', 'Damian 666', 'Monster Clown', 'Naucalpan, Mexico', 'August 28, 2011', 'Four tag team steel cage match, where Los Psycho Circus put their IWRG Intercontinental Trios Championship on the line against the hairs/masks of Los Perros del Mal (Damian 666, Bestia 666 and X-Fly), Los Temerarios (Black Terry, Durok and Machin) and Los Villanos (Kortiz, Ray Mendoza, Jr. and Villano IV).']. ['Hair', 'Monster Clown, Murder Clown and Psycho Clown', 'Halloween, Damian 666 and Nicho el Millonario', 'Monterrey, Nuevo Leon', 'October 9, 2011', 'Steel cage Masks vs. Hairs match.']. ['Hair', 'Psicosis', 'Joe Lider', 'Mexico City', 'August 5, 2012', '']. ['Hair', 'Dark Cuervo', 'Halloween', 'San Luis Potosi, San Luis Potosi', 'October 7, 2012', 'Domo de la Muerte, where Los Perros del Mal (Halloween, El Hijo del Perro Aguayo, Psicosis and Teddy Hart) faced Dark Cuervo, Cibernetico, Dark Ozz and Jack Evans.']
Solution: | what are the wagers? | 6 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Q: Table: ['Rank', 'Athlete', 'Time', 'Notes', 'Q']. ['1', 'Habtamu Fayisa (ETH)', '5:38.62', 'PB', 'FA']. ['2', 'Peter Matheka Mutuku (KEN)', '5:38.72', 'PB', 'FA']. ['3', 'Zakaria Kiprotich (UGA)', '5:44.51', 'PB', 'FA']. ['4', 'Waleed Elayah (YEM)', '5:51.58', 'PB', 'FA']. ['5', 'Bilal Tabti (ALG)', '5:56.21', 'PB', 'FA']. ['6', 'Yousif Daifalla (SUD)', '5:56.46', 'PB', 'FA']. ['7', 'Salem Attiatalla (EGY)', '6:03.41', '', 'FA']. ['8', 'Daniel Wong (USA)', '6:05.92', 'PB', 'FA']. ['9', 'David Morcillo (ESP)', '6:10.90', '', 'FB']. ['10', 'Laurentiu Rosu (ROU)', '6:12.77', '', 'FB']. ['11', 'Grant Gwynne (AUS)', '6:16.83', '', 'FB']. ['12', 'Ioran Etchechury (BRA)', '6:39.87', '', 'FB']. ['13', 'Bacem Salhi (TUN)', '6:43.17', '', 'FB']. ['', 'Ahmed Burhan (KSA)', 'DSQ', '', 'FB']. ['', 'Zak Seddon (GBR)', 'DSQ', '', 'FB']
A: which athletes participated in the athletics at the 2010 summer youth olympics - boys' 2000 metre steeplechase?
****
Q: Table: ['Year', 'Film', 'Role', 'Language', 'Notes']. ['2009', 'Toss: A Flip of Destiny', 'Sherry', 'Hindi', '']. ['2009', 'Aa Okkadu', 'Dr. Pavitra', 'Telugu', '']. ['2010', 'Mouna Ragam', 'Sandhya', 'Telugu', '']. ['2010', 'Saradaga Kasepu', 'Manimala', 'Telugu', '']. ['2010', 'Orange', 'Madhu', 'Telugu', 'Special appearance']. ['2012', 'Kamaal Dhamaal Malamaal', 'Maria', 'Hindi', '']. ['2013', 'Mahankali', 'Tanisha', 'Telugu', '']. ['2013', 'Shadow', '', 'Telugu', '']. ['2013', 'Eepeeko', '', 'Tamil', 'Filming']. ['2013', 'Black Coffee', '', 'Malayalam', 'Filming']. ['2014', 'Koothara', 'Shaista', 'Malayalam', 'Filming']. ['2014', 'Kotha Janta', '', 'Telugu', 'Filming']. ['2013', 'Serndhu Polama', '', 'Tamil', 'Filming']
A: what are all of the movies madhuurima has acted in?
****
Q: Table: ['Wager', 'Winner', 'Loser', 'Location', 'Date', 'Notes']. ['Hair', 'Psycho Clown', 'Super Crazy', 'Mexico City, Distrito Federal', 'May 29, 2011', 'Six man tag team steel cage Masks vs. Hairs match, where Los Perros del Mal (Crazy, El Hijo del Perro Aguayo and Damian 666) faced Los Psycho Circus (Psycho Clown, Monster Clown and Murder Clown).']. ['Hair', 'Halloween', 'Coco Rojo', 'Tlalnepantla de Baz, State of Mexico', 'July 10, 2011', 'Steel cage match, where Los Perros del Mal (Halloween, Damian 666 and Ek Balam) faced Los Payasos Tricolor (Coco Rojo, Coco Azul and Coco Amarillo) and Los Psycho Circus (Monster Clown, Murder Clown and Psycho Clown).']. ['Hair', 'Psycho Clown', 'X-Fly', 'Guadalajara, Jalisco', 'July 31, 2011', 'Six man tag team steel cage Masks vs. Hairs match, where Los Perros del Mal (X-Fly, Damian 666 and Halloween) faced Los Psycho Circus.']. ['Title', 'Damian 666', 'Monster Clown', 'Naucalpan, Mexico', 'August 28, 2011', 'Four tag team steel cage match, where Los Psycho Circus put their IWRG Intercontinental Trios Championship on the line against the hairs/masks of Los Perros del Mal (Damian 666, Bestia 666 and X-Fly), Los Temerarios (Black Terry, Durok and Machin) and Los Villanos (Kortiz, Ray Mendoza, Jr. and Villano IV).']. ['Hair', 'Monster Clown, Murder Clown and Psycho Clown', 'Halloween, Damian 666 and Nicho el Millonario', 'Monterrey, Nuevo Leon', 'October 9, 2011', 'Steel cage Masks vs. Hairs match.']. ['Hair', 'Psicosis', 'Joe Lider', 'Mexico City', 'August 5, 2012', '']. ['Hair', 'Dark Cuervo', 'Halloween', 'San Luis Potosi, San Luis Potosi', 'October 7, 2012', 'Domo de la Muerte, where Los Perros del Mal (Halloween, El Hijo del Perro Aguayo, Psicosis and Teddy Hart) faced Dark Cuervo, Cibernetico, Dark Ozz and Jack Evans.']
A: | what are the wagers?
****
| 4 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
[Q]: Table: ['Car', 'Engine', 'Compression', 'Power', 'Torque', 'Turbo', 'Stock boost', 'Turbine', 'Compressor']. ["'89 U12 Bluebird Ltd", 'Redtop', '8.5:1', '150 kW (201 hp) @ 6000 rpm', '202 lb*ft (274 N*m) @ 4000 rpm', 'T-25g', '7psi', '', '']. ["'91-'95 U13 Bluebird Ltd", 'Redtop', '8.5:1', '154 kW (206 hp) @ 6000 rpm', '202 lb*ft (274 N*m) @ 4000 rpm', 'T-25G', '7psi', '', '']. ["'95-'97 W10 Avenir Salut", 'Silvertop', '8.5:1', '154 kW (206 hp) @ 6000 rpm', '202 lb*ft (274 N*m) @ 4000 rpm', 'T-25G', '7psi', '', '']. ["'97-'01 W11 Avenir GT4", 'Silvertop', '8.5:1', '169 kW (227 hp) @ 6000 rpm', '203 lb*ft (275 N*m) @ 3600 rpm', 'T-25BB', '9psi', '', '']. ["'90-'94 N14 Pulsar GTi-R", 'Redtop', '8.3:1', '169 kW (227 hp) @ 6400 rpm (Euro: 164 kW (220 hp) @ 6400 rpm)', '210 lb*ft (280 N*m) @ 4800 rpm (Euro: 196 lb*ft (266 N*m) @ 4800 rpm', 'T-28', '7psi', '79 Trim 53 mm (2.1 in) (Inconel), .86 A/R housing', '60 trim 60 mm BCI-1 in standard T-3 housing']. ["'91-'93 S13 Silvia, 180sx", 'Redtop', '8.5:1', '151 kW (202 hp) @ 6000 rpm', '203 lb*ft (275 N*m) @ 4000 rpm', 'T-25G', '7psi', '62 trim 53.8 mm (2.1 in), .80 A/R housing', '60 trim 56mm BCI-1']. ["'94-'98 S13 180sx", 'Blacktop', '8.5:1', '151 kW (202 hp) @ 6000 rpm', '203 lb*ft (275 N*m) @ 4000 rpm', 'T-25G', '7psi', '62 trim 53.8 mm (2.1 in), .80 A/R housing', '60 trim 56mm BCI-1']. ["'95-'99 S14 Silvia, 200sx", 'Blacktop', '8.5:1', '162 kW (217 hp) @ 6000 rpm', '203 lb*ft (275 N*m) @ 4800 rpm', 'T-28', '7psi', '62 trim 53.8 mm (2.1 in), .64 A/R housing, BB if JDM', '60 trim 60 mm BCI-1 in T-04B housing']. ["'99-02 S15 Silvia", 'Blacktop', '8.5:1', '183 kW (245 hp) @ 6400 rpm', '202 lb*ft (274 N*m) @ 4800 rpm', 'T-28BB', '7psi', '62 trim 53.8 mm (2.1 in) (Inconel), .64 A/R housing, cast divider wall between turbine discharge and wastegate, ball bearing center section', '60 trim 60 mm BCI-1 in T-04B housing']
[A]: which cars featured blacktop engines?
[Q]: Table: ['Club', 'Town', 'Founded', 'Nickname', 'Colours', 'Home Ground', 'Titles', 'Website']. ['Churchill United', 'Churchill', '1969', 'Rams', 'Silver & Red', 'Hazelwood South Reserve', '4', '[2]']. ['East Gippsland United1', 'Bairnsdale', '2009', '', 'Navy Blue & Gold', 'Howitt Park Sports Complex', '0', '[3]']. ['Falcons 2000', 'Morwell', '1961', 'Falcons', 'Blue & Black', 'Latrobe City Soccer Stadium', '2', '[4]']. ['Fortuna 60', 'Morwell', '1960', 'Lions', 'Orange & Black', 'Crinigan Road South Reserve', '9', '[5]']. ['Moe United', 'Moe', '1952', 'Red Devils', 'Red, Black & White', 'Olympic Park', '7', '[6]']. ['Monash', 'Newborough', '1958', 'Wolves', 'Gold & Black', 'Monash Reserve', '0', '[7]']. ['Morwell Pegasus', 'Morwell', '1959', 'The Flying Horse', 'Maroon & Sky Blue', 'Ronald Reserve', '5', '[8]']. ['Newborough/Yallourn', 'Newborough', '', '', 'Navy Blue', 'Burrage Reserve', '82', '[9]']. ['Sale United', 'Sale', '1974', 'Swans', 'Green & White', 'Godfrey Baldwin Reserve', '1', '[10]']. ['Traralgon City', 'Traralgon', '1968', 'Roosters', 'Black & White', 'Harold Preston Reserve', '0', '[11]']. ['Traralgon Olympians', 'Traralgon', '1980', 'Olympians', 'Blue & White', 'Harold Preston Reserve', '8', '[12]']. ['Tyers', 'Tyers', '1982', 'Lightning', 'Green & Gold', 'Tyers Recreation Reserve', '0', '[13]']
[A]: what are all of the league clubs?
[Q]: Table: ['Network name', 'Flagship', 'Programming type', 'Owner', 'Affiliates']. ['Canal de las Estrellas', 'XEW 2', 'soap operas, retro movies and sports', 'Televisa', '1']. ['Canal 5', 'XHGC 5', 'cartoons, movies, and series', 'Televisa', '1']. ['Azteca 7', 'XHIMT 7', 'sports, series, and movies', 'TV Azteca', '1']. ['Galavision', 'XEQ 9', 'retro programming and sports', 'Televisa', '1']. ['Once TV', 'XEIPN 11', 'educational and cultural', 'National Polytechnic Institute', '1']. ['Azteca 13', 'XHDF 13', 'news, soap operas, and sports', 'TV Azteca', '1']. ['Independent', '', 'varies', 'Independent', '2']
[A]: | what are each of the networks?
| 5 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
One example: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Solution is here: What team is Player Paul Coleman from?
Explanation: The question is based on the information given in the table and can be answered from the given table.
Now, solve this: Table: ['Date', 'Operation', 'Location', 'Type', 'Information']. ['16 July 1992 - 22 November 1992', 'Operation Maritime Monitor', 'International waters off Serbia', 'Naval blockade', 'Naval blockade aimed at enforcing sanctions stipulated in UN Security Council Resolutions 713 and 757.']. ['16 October 1992 - 12 April 1993', 'Operation Sky Monitor (Resolution 781)', 'Bosnian airspace', 'No-fly zone', 'Established a no-fly zone over the airspace of Bosnia and Herzegovina. Effectiveness of the no-fly zone is debatable as by April 1993 500 violations (by all sides) of the no-fly zone had been recorded. NATO members voted for an all necessary measures resolution by the United Nations to allow NATO a mandate to enforce the no-fly zone more stringently.']. ['22 November 1992 - 1993', 'Operation Maritime Guard (Resolution 787)', 'International waters in Adriatic Sea', 'Naval blockade', 'Authorized NATO to use force, and included stopping, inspecting, and diverting ships bound for the former Yugoslavia. All ships bound to or coming from the territorial waters of the former Yugoslavia were halted for inspection and verification of their cargoes and destinations.']. ['13 April 1993 - 20 December 1995', 'Operation Deny Flight (Resolutions 816 and 836)', 'Bosnian airspace', 'No-fly zone', 'Resolution 816 extended the ban to cover flights by all fixed-wing and rotary-wing aircraft over the country, and to use all measures necessary to ensure compliance with the ban. Resolution 836 authorized the use of force by UNPROFOR in the protection of specially designated UN safe areas.']. ['15 June 1993 - 2 October 1996', 'Operation Sharp Guard (Numerous resolutions)', 'Yugoslavia', 'Naval blockade', 'A widespread naval blockade aimed at all former Yugoslavia.']. ['30 August - 20 September 1995', 'Operation Deliberate Force', 'Bosnia and Herzegovina', 'Air campaign', 'Involving approximately 400 aircraft, Deliberate Force targeted at the Army of Republika Srpska whose presence in Bosnia posed a danger to United Nations safe areas.']. ['20 December 1995 - 20 December 1996', 'Operation Joint Endeavour', 'Bosnia and Herzegovina', 'Peacekeeping force', 'NATO-led Implementation Force(IFOR) peacekeeping force was established which was a force tasked with enforcing the peace under the Dayton Accords.']. ['21 December 1996 - 19 June 1998', 'Operation Joint Guard', 'Bosnia and Herzegovina', 'Peacekeeping force', 'NATO-led Stabilisation Force(SFOR) peacekeeping force which replaced the IFOR which was a force tasked with enforcing peace under the Dayton Accords.']. ['20 June 1998 - 2 December 2004', 'Operation Joint Forge', 'Bosnia and Herzegovina', 'Peacekeeping force', 'A continuation of Operation Joint Guard.']
Solution: | what are all of the operations? | 6 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Output: What team is Player Paul Coleman from?
The question is based on the information given in the table and can be answered from the given table.
New input case for you: Table: ['Main author', 'No. of patients', 'Duration of follow-up years', 'Linearized rate of infection', 'Actuarial freedom from infective endocarditis']. ['Pavie', '675', '5', '', '98.2% for all patients, 97.8% for aortic, 99% for mitral, 100% for multiple valve replacements']. ['Duncan (A)', '2720', '6', '', '97.3% for all patients, 97.4% for aortic valves, 97.6% for mitral valves, 96.3% for multiple valve replacement']. ['Ionescu (B)', '1171', '10', '', '93.7% for all patients, 94.7% for aortic valves, 97.1% for mitral valves, 89.3% for multiple valve replacement']. ['Zhu', '520', '10', '', '98% for all patients']. ['Revuelta', '239', '8', '0.67% per patient year', '']. ['Garcia-Bengochea', '248', '8', '0.78% per patient year', '']. ['Holden (C)', '290', '6', '1.1% per patient year', '']. ['Bachet (D)', '224', '6', '1.6% per patient year', '']
Output: | what authors are listed? | 1 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Example solution: What team is Player Paul Coleman from?
Example explanation: The question is based on the information given in the table and can be answered from the given table.
Problem: Table: ['Name', 'State of residence', 'Took office', 'Left office', 'President served under']. ['Karl Rove', 'Texas', 'January 21, 2001', 'August 31, 2007', 'George W. Bush']. ['Barry Steven Jackson', 'Ohio', 'September 1, 2007', 'January 19, 2009', 'George W. Bush']. ['Pete Rouse', 'South Dakota', 'January 20, 2009', 'October 1, 2010', 'Barack Obama']. ['David Axelrod', 'Illinois', 'January 20, 2009', 'January 10, 2011', 'Barack Obama']. ['David Plouffe', 'Delaware', 'January 10, 2011', 'January 25, 2013', 'Barack Obama']. ['Valerie Jarrett', 'Illinois', 'January 20, 2009', 'present', 'Barack Obama']. ['Daniel Pfeiffer', 'Delaware', 'January 25, 2013', 'present', 'Barack Obama']
| Solution: which advisors served under george w. bush? | 5 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Solution: What team is Player Paul Coleman from?
Why? The question is based on the information given in the table and can be answered from the given table.
New input: Table: ['Pos.', 'Car #', 'Driver', 'Make', 'Team']. ['1', '38', 'Jason Leffler', 'Toyota', 'Braun Racing']. ['2', '16', 'Greg Biffle', 'Ford', 'Roush Fenway Racing']. ['3', '99', 'David Reutimann', 'Toyota', 'Michael Waltrip Racing']. ['4', '60', 'Carl Edwards', 'Ford', 'Roush Fenway Racing']. ['5', '77', 'Ron Hornaday', 'Chevrolet', 'Kevin Harvick Incorporated']. ['6', '20', 'Aric Almirola', 'Chevrolet', 'Joe Gibbs Racing']. ['7', '29', 'Scott Wimmer', 'Chevrolet', 'Richard Childress Racing']. ['8', '42', 'Kevin Hamlin', 'Dodge', 'Chip Ganassi Racing']. ['9', '10', 'Mike Bliss', 'Toyota', 'Braun Racing']. ['10', '88', 'Brad Keselowski', 'Chevrolet', 'JR Motorsports']
Solution: | who are all the drivers? | 0 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example Input: Table: ['Terminal', 'Operator', 'Depth (m)', 'Berths', 'Quay length (m)', 'Quay cranes', 'Area (m2)', 'Capacity (kTEUs)']. ['Terminal 1 (CT1)', 'MTL', '14', '1', '', '4', '', '']. ['Terminal 2 (CT2)', 'MTL', '14', '1', '', '5', '', '']. ['Terminal 3 (CT3)', 'DPI', '14', '1', '305', '6', '167,000', '>1,200']. ['Terminal 4 (CT4)', 'HIT', '12.5', '3', '', '8', '', '']. ['Terminal 5 (CT5)', 'MTL', '14', '1', '', '4', '', '']. ['Terminal 6 (CT6)', 'HIT', '12.5-15.5', '3', '', '11', '', '']. ['Terminal 7 (CT7)', 'HIT', '15.5', '4', '', '15', '', '']. ['Terminal 8 East (CT8E)', 'HIT/COSCO', '15.5', '2', '640', '9', '300,000', '1,800']. ['Terminal 8 West (CT8W)', 'ACT', '15.5', '2', '740', '8', '285,000', '>2,000']. ['Terminal 9 North (CT9N)', 'HIT', '15.5', '2', '700', '9', '190,000', '>2,600 (N&S)']. ['Terminal 9 South (CT9S)', 'MTL', '15.5', '4', '1,240', '13', '490,000', '']
Example Output: which of these terminals uses an mtl operator?
Example Input: Table: ['Location', 'Town', 'Output (MW AC)', 'Modules', 'Number of arrays']. ['H. Lee Dennison Building', 'Hauppauge', '1.75', '7,737', '24']. ['North County Complex', 'Hauppauge', '0.5', '3,431', '9']. ['Cohalan Court Complex', 'Central Islip', '3.5', '15,113', '27']. ['Riverhead County Center', 'Riverside', '3', '11,536', '31']. ['Brentwood LIRR Parking Lot', 'Brentwood', '1', '3,924', '11']. ['Deer Park LIRR Parking Lot', 'Deer Park', '2.25', '3,924', '39']. ['Ronkonkoma LIRR Parking Lot (south)', 'Ronkonkoma', '5', '20,110', '44']
Example Output: which towns had less than 20 arrays?
Example Input: Table: ['Team', 'Location', 'Venue', 'Capacity', 'Position in 1993-94']. ['Dinamo Minsk', 'Minsk', 'Dinamo, Minsk', '41,040', '1']. ['Dinamo-93', 'Minsk', 'Dinamo, Minsk', '41,040', '2']. ['Dvina', 'Vitebsk', 'Central, Vitebsk', '8,300', '3']. ['Dnepr', 'Mogilev', 'Spartak, Mogilev', '11,200', '4']. ['Bobruisk', 'Bobruisk', 'Spartak, Bobruisk', '3,550', '5']. ['Torpedo Minsk', 'Minsk', 'Torpedo, Minsk', '5,200', '6']. ['Shinnik', 'Bobruisk', 'Spartak, Bobruisk', '3,550', '7']. ['Dinamo Brest', 'Brest', 'Dinamo, Brest', '10,080', '8']. ['Molodechno', 'Molodechno', 'City Stadium, Molodechno', '5,500', '9']. ['Lokomotiv', 'Vitebsk', 'Central, Vitebsk', '8,300', '10']. ['Neman', 'Grodno', 'Neman', '6,300', '11']. ['Vedrich', 'Rechytsa', 'Central, Rechytsa', '3,550', '12']. ['Shakhtyor', 'Soligorsk', 'Stroitel', '5,000', '13']. ['Torpedo Mogilev', 'Mogilev', 'Torpedo, Mogilev', '3,500', '14']. ['Gomselmash', 'Gomel', 'Central, Gomel', '11,800', '15']. ['Obuvshchik', 'Lida', 'City Stadium, Lida', '4,000', 'First league, 1']
Example Output: | what are all the venues for the 1994-95 belarusian premier league?
| 3 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
One example is below.
Q: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
A: What team is Player Paul Coleman from?
Rationale: The question is based on the information given in the table and can be answered from the given table.
Q: Table: ['Ndeg', 'Name', 'Position', 'Date of birth', 'Nationality']. ['1', 'Marcus Popp', 'S', '23 settembre 1981', 'Germany']. ['2', 'Stanislav Simin', 'C', '4 ottobre 1986', 'Serbia']. ['3', 'Gerald Hardy-Dessources', 'C', '9 febbraio 1983', 'France']. ['4', 'Soane Falafala', 'S', '16 aprile 1993', 'France']. ['5', 'Cyril Guittet', 'L', '13 agosto 1992', 'France']. ['6', 'David Konecny', 'S/O', '10 ottobre 1982', 'Czech Republic']. ['7', 'Jean-Francois Exiga', 'L', '9 marzo 1982', 'France']. ['8', 'Nuno Pinheiro', 'P', '31 dicembre 1984', 'Portugal']. ['10', 'Guillaume Di Betta', 'S', '8 settembre 1994', 'France']. ['12', 'Maxime Dillies', 'P', '11 aprile 1984', 'France']. ['13', 'Kamil Baranek', 'S', '2 maggio 1983', 'Czech Republic']. ['14', 'Renaud Lachaise', 'P', '12 maggio 1991', 'France']. ['15', 'David Smith', 'C', '15 maggio 1985', 'United States']. ['16', 'Emmanuel Ragondet', 'S', '6 agosto 1987', 'France']. ['17', 'Victor Le Guennec', 'S', '19 giugno 1994', 'France']. ['18', 'Thibault Szymkowiak', 'C', '19 settembre 1991', 'France']
A: | what are the names of all the players? | 9 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Output: What team is Player Paul Coleman from?
The question is based on the information given in the table and can be answered from the given table.
New input case for you: Table: ['Location', 'Town', 'Output (MW AC)', 'Modules', 'Number of arrays']. ['H. Lee Dennison Building', 'Hauppauge', '1.75', '7,737', '24']. ['North County Complex', 'Hauppauge', '0.5', '3,431', '9']. ['Cohalan Court Complex', 'Central Islip', '3.5', '15,113', '27']. ['Riverhead County Center', 'Riverside', '3', '11,536', '31']. ['Brentwood LIRR Parking Lot', 'Brentwood', '1', '3,924', '11']. ['Deer Park LIRR Parking Lot', 'Deer Park', '2.25', '3,924', '39']. ['Ronkonkoma LIRR Parking Lot (south)', 'Ronkonkoma', '5', '20,110', '44']
Output: | which towns had less than 20 arrays? | 1 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example input: Table: ['Pick', 'Player', 'Team', 'Position', 'School'].['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta Braves', 'C', 'Valley HS (Las Vegas, NV)']. ['3', 'Roger Salkeld', 'Seattle Mariners', 'RHP', 'Saugus (CA) HS']. ['4', 'Jeff Jackson', 'Philadelphia Phillies', 'OF', 'Simeon HS (Chicago, IL)']. ['5', 'Donald Harris', 'Texas Rangers', 'OF', 'Texas Tech University']. ['6', 'Paul Coleman', 'Saint Louis Cardinals', 'OF', 'Frankston (TX) HS']. ['7', 'Frank Thomas', 'Chicago White Sox', '1B', 'Auburn University']. ['8', 'Earl Cunningham', 'Chicago Cubs', 'OF', 'Lancaster (SC) HS']. ['9', 'Kyle Abbott', 'California Angels', 'LHP', 'Long Beach State University']. ['10', 'Charles Johnson', 'Montreal Expos', 'C', 'Westwood HS (Fort Pierce, FL)']. ['11', 'Calvin Murray', 'Cleveland Indians', '3B', 'W.T. White High School (Dallas, TX)']. ['12', 'Jeff Juden', 'Houston Astros', 'RHP', 'Salem (MA) HS']. ['13', 'Brent Mayne', 'Kansas City Royals', 'C', 'Cal State Fullerton']. ['14', 'Steve Hosey', 'San Francisco Giants', 'OF', 'Fresno State University']. ['15', 'Kiki Jones', 'Los Angeles Dodgers', 'RHP', 'Hillsborough HS (Tampa, FL)']. ['16', 'Greg Blosser', 'Boston Red Sox', 'OF', 'Sarasota (FL) HS']. ['17', 'Cal Eldred', 'Milwaukee Brewers', 'RHP', 'University of Iowa']. ['18', 'Willie Greene', 'Pittsburgh Pirates', 'SS', 'Jones County HS (Gray, GA)']. ['19', 'Eddie Zosky', 'Toronto Blue Jays', 'SS', 'Fresno State University']. ['20', 'Scott Bryant', 'Cincinnati Reds', 'OF', 'University of Texas']. ['21', 'Greg Gohr', 'Detroit Tigers', 'RHP', 'Santa Clara University']. ['22', 'Tom Goodwin', 'Los Angeles Dodgers', 'OF', 'Fresno State University']. ['23', 'Mo Vaughn', 'Boston Red Sox', '1B', 'Seton Hall University']. ['24', 'Alan Zinter', 'New York Mets', 'C', 'University of Arizona']. ['25', 'Chuck Knoblauch', 'Minnesota Twins', '2B', 'Texas A&M University']. ['26', 'Scott Burrell', 'Seattle Mariners', 'RHP', 'Hamden (CT) HS']
Example output: What team is Player Paul Coleman from?
Example explanation: The question is based on the information given in the table and can be answered from the given table.
Q: Table: ['Ethnicity', 'Islam', 'Christianity', 'Judaism', 'Buddhism', 'Other', 'None / Atheism', 'n/a']. ['TOTALS', '70.20%', '26.32%', '0.03%', '0.09%', '0.02%', '2.82%', '0.51%']. ['Kazakh', '98.34%', '0.39%', '0.02%', '0.01%', '0.02%', '0.98%', '0.26%']. ['Russian', '1.43%', '91.64%', '0.04%', '0.02%', '0.03%', '6.09%', '0.75%']. ['Uzbek', '99.05%', '0.39%', '0.01%', '0.01%', '0.02%', '0.37%', '0.16%']. ['Ukrainian', '0.94%', '90.74%', '0.03%', '0.01%', '0.02%', '7.31%', '0.94%']. ['Uyghur', '98.35%', '0.51%', '0.02%', '0.01%', '0.03%', '0.61%', '0.47%']. ['Tatar', '79.57%', '10.24%', '0.02%', '0.03%', '0.06%', '8.11%', '1.97%']. ['German', '1.58%', '81.59%', '0.05%', '0.04%', '0.11%', '13.96%', '2.68%']. ['Korean', '5.24%', '49.35%', '0.21%', '11.40%', '0.14%', '28.51%', '5.16%']. ['Turkish', '99.13%', '0.30%', '0.01%', '0.01%', '0.02%', '0.33%', '0.21%']. ['Azeri', '94.81%', '2.51%', '0.02%', '0.02%', '0.03%', '1.86%', '0.76%']. ['Belorussian', '0.79%', '90.16%', '0.04%', '0.01%', '0.03%', '7.82%', '1.15%']. ['Dungan', '98.93%', '0.37%', '0.01%', '0.03%', '0.04%', '0.34%', '0.28%']. ['Kurdish', '98.28%', '0.53%', '0.03%', '0.02%', '0.02%', '0.74%', '0.38%']. ['Tajik', '97.78%', '0.91%', '0.01%', '0.02%', '0.08%', '0.85%', '0.35%']. ['Polish', '0.69%', '90.07%', '0.04%', '0.01%', '0.13%', '7.30%', '1.76%']. ['Chechen', '93.69%', '2.99%', '0.02%', '0.01%', '0.05%', '2.08%', '1.16%']. ['Kyrgyz', '96.67%', '0.89%', '0.03%', '0.03%', '0.02%', '1.51%', '0.86%']. ['Others', '34.69%', '52.32%', '0.82%', '0.91%', '0.13%', '8.44%', '2.69%']
A: | what are all the ethnicities? | 3 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
[Q]: Table: ['Pos', 'No', 'Driver', 'Constructor', 'Laps', 'Time/Retired', 'Grid', 'Points']. ['1', '4', 'Robert Kubica', 'BMW Sauber', '70', '1:36:24.227', '2', '10']. ['2', '3', 'Nick Heidfeld', 'BMW Sauber', '70', '+16.495', '8', '8']. ['3', '9', 'David Coulthard', 'Red Bull-Renault', '70', '+23.352', '13', '6']. ['4', '12', 'Timo Glock', 'Toyota', '70', '+42.627', '11', '5']. ['5', '2', 'Felipe Massa', 'Ferrari', '70', '+43.934', '6', '4']. ['6', '11', 'Jarno Trulli', 'Toyota', '70', '+47.775', '14', '3']. ['7', '17', 'Rubens Barrichello', 'Honda', '70', '+53.597', '9', '2']. ['8', '15', 'Sebastian Vettel', 'Toro Rosso-Ferrari', '70', '+54.120', '19', '1']. ['9', '23', 'Heikki Kovalainen', 'McLaren-Mercedes', '70', '+54.433', '7', '']. ['10', '7', 'Nico Rosberg', 'Williams-Toyota', '70', '+54.749', '5', '']. ['11', '16', 'Jenson Button', 'Honda', '70', '+1:07.540', '20', '']. ['12', '10', 'Mark Webber', 'Red Bull-Renault', '70', '+1:11.299', '10', '']. ['13', '14', 'Sebastien Bourdais', 'Toro Rosso-Ferrari', '69', '+1 Lap', '18', '']. ['Ret', '21', 'Giancarlo Fisichella', 'Force India-Ferrari', '51', 'Spun off', '17', '']. ['Ret', '8', 'Kazuki Nakajima', 'Williams-Toyota', '46', 'Accident', '12', '']. ['Ret', '5', 'Fernando Alonso', 'Renault', '44', 'Spun off', '4', '']. ['Ret', '6', 'Nelson Piquet Jr.', 'Renault', '43', 'Brakes', '15', '']. ['Ret', '1', 'Kimi Raikkonen', 'Ferrari', '19', 'Collision', '3', '']. ['Ret', '22', 'Lewis Hamilton', 'McLaren-Mercedes', '19', 'Collision', '1', '']. ['Ret', '20', 'Adrian Sutil', 'Force India-Ferrari', '13', 'Gearbox', '16', '']
[A]: how many laps did kimi raikkonen go?
[Q]: Table: ['Year', 'Title', 'Role', 'Notes']. ['1941', 'The Maltese Falcon', 'Kasper Gutman', 'Nominated - Academy Award for Best Supporting Actor']. ['1941', 'They Died with Their Boots On', 'Lt. Gen. Winfield Scott', '']. ['1942', 'Across the Pacific', 'Dr. Lorenz', '']. ['1942', 'Casablanca', 'Signor Ferrari', '']. ['1943', 'Background to Danger', 'Col. Robinson', '']. ['1944', 'Passage to Marseille', 'Major Duval', '']. ['1944', 'Between Two Worlds', 'Rev. Tim Thompson', '']. ['1944', 'The Mask of Dimitrios', 'Mr. Peters', '']. ['1944', 'The Conspirators', 'Ricardo Quintanilla', '']. ['1944', 'Hollywood Canteen', 'Himself', '']. ['1945', 'Pillow to Post', 'Col. Michael Otley', '']. ['1945', 'Conflict', 'Dr. Mark Hamilton', '']. ['1945', 'Christmas in Connecticut', 'Alexander Yardley', '']. ['1946', 'Three Strangers', 'Jerome K. Arbutny', '']. ['1946', 'Devotion', 'William Makepeace Thackeray', '']. ['1946', 'The Verdict', 'Supt. George Edward Grodman', '']. ['1947', 'That Way with Women', 'James P. Alden', '']. ['1947', 'The Hucksters', 'Evan Llewellyn Evans', '']. ['1948', 'The Velvet Touch', 'Capt. Danbury', '']. ['1948', 'Ruthless', 'Buck Mansfield', '']. ['1948', 'The Woman in White', 'Count Alessandro Fosco', '']. ['1949', 'Flamingo Road', 'Sheriff Titus Semple', '']. ['1949', 'Malaya', 'The Dutchman', '']
[A]: what are all of the movies sydney greenstreet acted in?
[Q]: Table: ['Year', 'Domestic passengers', 'International passengers', 'Total passengers', 'Change']. ['2006', '764,831', '83,115', '847,946', '+4.6%']. ['2007', '764,674', '75,276', '839,950', '-0.9%']. ['2008', '709,779', '92,176', '801,955', '-4.5%']. ['2009', '605,534', '82,424', '687,958', '-14.3%']. ['2010', '595,457', '105,119', '700,576', '+1.7%']. ['2011', '850,305', '123,607', '973,912', '+39.1%']. ['2012', '899 854', '178,679', '1,078,533', '+10.7%']. ['2013', '745,178', '131,902', '877,080', '-18.7%']
[A]: | what are all of the years?
| 5 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
You are given the conttent of a table in the input (row by row). Generate an unambiguous question based on the information present in the table, such that: 1) It's answer is unique and is in the given table, 2) Its answer is a contiguous text span from the table. Avoid creating questions that can be answered correctly without reading/understanding the table
Example Input: Table: ['No.', 'Country', '2009 Winter Universiade', '2007 WJCC', '2007 WWCC', '2008 WJCC', '2008 WWCC', 'Points']. ['1', 'Canada', '24', '12', '9', '12', '10', '67']. ['2', 'China', '28', '-', '14', '4', '6', '52']. ['3', 'Sweden', '10', '5', '12', '14', '9', '50']. ['4', 'Great Britain', '16', '14', '5', '1', '12', '48']. ['5', 'Russia', '20', '8', '6', '6', '5', '45']. ['6', 'United States', '4', '6', '4', '10', '8', '32']. ['7', 'Switzerland', '-', '10', '8', '8', '3', '29']. ['8', 'Germany', '-', '-', '7', '2', '14', '23']. ['9', 'Denmark', '-', '3', '10', '-', '7', '20']. ['10', 'Czech Republic', '12', '4', '-', '3', '-', '19']. ['11', 'South Korea', '8', '-', '3', '-', '-', '11']. ['12', 'Japan', '6', '1', '-', '-', '2', '9']. ['13', 'France', '-', '2', '-', '5', '-', '7']. ['14', 'Norway', '-', '-', '2', '-', '4', '6']. ['15', 'Poland', '2', '-', '-', '-', '-', '2']. ['16', 'Italy', '-', '-', '1', '-', '-', '1']. ['17', 'Latvia', '-', '-', '-', '-', '1', '1']. ['-', 'Turkey (host)', '-', '-', '-', '-', '-', '0']
Example Output: which of the countries have more than 30 overall points?
Example Input: Table: ['Year', 'Competition', 'Venue', 'Position', 'Notes']. ['1989', 'European Indoor Championships', 'The Hague, Netherlands', '10th', '']. ['1989', 'World Indoor Championships', 'Budapest, Hungary', '9th', '']. ['1991', 'World Indoor Championships', 'Lisbon, Portugal', '6th', '']. ['1991', 'World Championships', 'Tokyo, Japan', '5th', '5.75 m NR']. ['1992', 'European Indoor Championships', 'Genoa, Italy', '5th', '']. ['1993', 'World Championships', 'Stuttgart, Germany', '11th', '']
Example Output: when was the championships held?
Example Input: Table: ['Player', 'Country', 'Year(s) won', 'R1', 'R2', 'Total', 'To par']. ['Don January', 'United States', '1967', '76', '74', '150', '+6']. ['Jack Burke, Jr.', 'United States', '1956', '75', '75', '150', '+6']. ['Raymond Floyd', 'United States', '1969', '77', '74', '151', '+7']. ['Jay Hebert', 'United States', '1960', '74', '79', '153', '+9']. ['Dow Finsterwald', 'United States', '1958', '79', '74', '153', '+9']. ['Doug Ford', 'United States', '1955', '77', '80', '154', '+14']. ['Jerry Barber', 'United States', '1961', '78', '80', '158', '+14']. ['Gene Sarazen', 'United States', '1922, 1923, 1933', '81', '79', '160', '+16']. ['Walter Burkemo', 'United States', '1953', '83', '79', '162', '+18']. ['Denny Shute', 'United States', '1936, 1937', '81', '87', '168', '+24']
Example Output: | who are the 1971 pga championship players?
| 3 | NIv2 | task757_msr_sqa_question_generation | fs_opt |
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