context stringlengths 362 4.81k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | max_new_tokens int64 128 128 | answer_prefix stringclasses 1
value |
|---|---|---|---|---|
Table InputTable: [["District", "Representative", "Party", "Home Town, County", "Term of Service"], ["18th District", "Thomas F. Patton", "Republican", "Strongsville, Cuyahoga", ""], ["11th District", "Annie L. Key", "Democratic", "Cleveland, Cuyahoga", ""], ["12th District", "Michael DeBose", "Democratic", "Cleveland,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Republican | 128 | Answer: |
Table InputTable: [["Pick #", "NFL Team", "Player", "Position", "College"], ["1", "Baltimore Colts (Lottery bonus pick)", "George Shaw", "Quarterback", "Oregon"], ["2", "Chicago Cardinals", "Max Boydston", "End", "Oklahoma"], ["13", "Cleveland Browns", "Kurt Burris", "Center", "Oklahoma"], ["9", "Philadelphia Eagles", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | George Shaw | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "South Korea (KOR)", "32", "48", "65", "145"], ["1", "China (CHN)", "127", "63", "33", "223"], ["2", "Japan (JPN)", "46", "56", "77", "179"], ["6", "North Korea (PRK)", "6", "10", "20", "36"], ["8", "Mongolia (MGL)", "1", "1", "6", "8"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Guam (GUM) | 128 | Answer: |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2008", "Jiangsu Sainty", "China", "2", "24", "0"], ["2009", "Jiangsu Sainty", "China", "1", "15", "0"], ["2010", "Jiangsu Sainty", "China", "1", "17", "0"], ["2011", "Jiangsu Sainty", "China", "1", "9", "0"], ["2012", "Jiangsu Sainty", "Ch... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jiangsu Sainty | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2009", "World Championships", "Berlin, Germany", "22nd (q)", "5.40 m"], ["2012", "European Championships", "Helsinki, Finland", "6th", "5.60 m"], ["2010", "European Championships", "Barcelona, Spain", "10th", "5.60 m"], ["2011", "World Champion... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 11 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Rol", "Format", "Related Links"], ["2006", "La Vida Inmune", "Malhora", "Feature Film", "https://www.youtube.com/watch?v=PQt4RU3usnw"], ["2009", "Me Mueves 2° Temporada", "Arturo", "Serie", "https://www.youtube.com/watch?v=fNE5WHZ_tt8&feature=related"], ["2008", "Me Mueves 1° Tempo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 years | 128 | Answer: |
Table InputTable: [["Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted"], ["1", "109", "20", "125", "39", "116", "58", "37", "77", "65"], ["4", "84", "23", "111", "42", "114", "61", "100", "80", "66"], ["10", "89", "29", "71", "48", "123", "67", "85", "86", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1, 9, 16, 17, 19, 20, 23, 24, 31, 34, 37, 38, 39, 40, 41, 42, 45, 46, 48, 55, 61, 69, 75, 82, 90, 91, 92 | 128 | Answer: |
Table InputTable: [["Year", "Record", "Finish", "Manager", "Playoffs"], ["1984", "87-53", "1st", "Tommy Sandt", "Lost League Finals"], ["1975", "88-56", "1st", "Roy Hartsfield", "League Champs"], ["1970", "98-48", "1st", "Chuck Tanner", "Lost League Finals"], ["1985", "84-59", "1st", "Tommy Sandt", "Lost in 1st round"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tommy Sandt | 128 | Answer: |
Table InputTable: [["Year", "Film", "Rotten Tomatoes", "Metacritic", "IMDb"], ["1998", "The Idiots", "70%", "47%", "6.9/10"], ["2000", "Dancer in the Dark", "68%", "61%", "8.0/10"], ["1996", "Breaking the Waves", "86%", "76%", "7.9/10"], ["1984", "The Element of Crime", "77%", "N/A", "6.9/10"], ["2006", "The Boss of It... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | The Five Obstructions | 128 | Answer: |
Table InputTable: [["Name", "City", "Hospital beds", "Operating rooms", "Total", "Trauma designation", "Affiliation", "Notes"], ["Novant Health Rowan Medical Center", "Salisbury", "268", "17", "285", "-", "Novant", "-"], ["Novant Health Medical Park Hospital", "Winston-Salem", "22", "13", "35", "-", "Novant", "-"], ["N... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Thomasville Medical Center | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "India", "0", "0", "1", "1"], ["7", "Japan", "0", "0", "2", "2"], ["2", "Indonesia", "1", "3", "2", "6"], ["1", "Malaysia", "3", "0", "1", "4"], ["3", "Korea", "1", "1", "2", "4"], ["4", "Thailand", "1", "0", "0", "1"], ["6", "Denmark", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["No.", "Date/time", "Aircraft", "Foe", "Result", "Location", "Notes"], ["2", "24 April 1917 @ 0840 hours", "Sopwith Triplane s/n N5460", "Albatros D.III", "Driven down out of control", "Sailly, France", ""], ["6", "23 May 1917 @ 1800 hours", "Sopwith Triplane s/n N5460", "Albatros D.III", "Driven do... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Nieuport serial number 3958 | 128 | Answer: |
Table InputTable: [["Stations", "Connections", "City/ Neighborhood", "Parking", "Date Opened"], ["Sepulveda", "Metro Local: 234\\nMetro Rapid: 734", "Van Nuys", "1,205 Spaces", "October 29, 2005"], ["Woodley", "Metro Local:164, 237", "Van Nuys", "None", "October 29, 2005"], ["Balboa", "Metro Local: 164, 236, 237\\nLADO... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | North Hollywood | 128 | Answer: |
Table InputTable: [["Team", "Stadium", "Capacity", "City/Area"], ["Bradford Bulls (2014 season)", "Provident Stadium", "27,000", "Bradford, West Yorkshire"], ["Salford City Reds (2014 season)", "Salford City Stadium", "12,000", "Salford, Greater Manchester"], ["Leeds Rhinos (2014 season)", "Headingley Carnegie Stadium"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Provident Stadium | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Netherlands", "8", "3", "1", "12"], ["8", "China", "–", "–", "1", "1"], ["7", "Russia", "–", "1", "1", "2"], ["6", "Italy", "–", "2", "1", "3"], ["2", "Australia", "3", "3", "4", "10"], ["4", "Hungary", "1", "1", "3", "5"], ["5", "Canada... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Olympics", "Athlete", "Judge (Official)", "Coach", "Language"], ["1976 Summer Olympics", "Pierre St.-Jean", "Maurice Fauget", "-", "French (St.-Jean)/English (Fauget)"], ["1924 Summer Olympics", "Géo André", "-", "-", "French."], ["1956 Summer Olympics", "John Landy (Melbourne)\\nHenri Saint Cyr (S... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | English | 128 | Answer: |
Table InputTable: [["#", "Directed By", "Written By", "Original Air Date"], ["9", "Douglas Mackinnon", "Neil McKay", "November 23, 1997"], ["3", "Gerry Poulson", "David Humphries", "October 5, 1997"], ["4", "Gerry Poulson", "David Humphries", "October 12, 1997"], ["6", "John Reardon", "Neil McKay", "November 2, 1997"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Frequency", "Call sign", "Name", "Format", "Owner", "Target city/market", "City of license"], ["94.3 FM", "KDAM", "The Dam", "Mainstream Rock", "Riverfront Broadcasting LLC", "Yankton/Vermillion", "Hartington"], ["93.1 FM", "KKYA", "KK93", "Country", "Riverfront Broadcasting LLC", "Yankton/Vermilli... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | KK93, The Dam | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Site", "Result"], ["October 2", "at Vanderbilt", "Dudley Field • Nashville, TN", "W 19–7"], ["September 24", "Millsaps*", "Denny Field • Tuscaloosa, AL", "W 54–0"], ["October 9", "at Mississippi A&M", "Meridian Fairgrounds • Meridian, MS (Rivalry)", "W 26–7"], ["January 1, 1927"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Millspaps | 128 | Answer: |
Table InputTable: [["#", "Massif", "Region", "Type of nature reserve", "Preserved area", "Buffer zone"], ["13", "Grumsiner Forest", "Brandenburg", "Grumsiner Forest Nature Reserve", "590.1 ha", "274.3 ha"], ["14", "Hainich", "Thuringia", "Hainich National Park", "1573.4 ha", "4085.4 ha"], ["15", "Kellerwald", "Hesse", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Uholka / Wide Meadow | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["6", "North Korea (PRK)", "6", "10", "20", "36"], ["3", "South Korea (KOR)", "32", "48", "65", "145"], ["2", "Japan (JPN)", "46", "56", "77", "179"], ["8", "Mongolia (MGL)", "1", "1", "6", "8"], ["Total", "Total", "237", "230", "254", "721"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 36 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2.", "United States", "9", "3", "6", "18"], ["1.", "Brazil", "21", "9", "12", "42"], ["3.", "China", "1", "9", "8", "18"], ["7.", "Germany", "0", "5", "1", "6"], ["9.", "Argentina", "0", "2", "0", "2"], ["10.", "Switzerland", "0", "1", "1", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["#", "Massif", "Region", "Type of nature reserve", "Preserved area", "Buffer zone"], ["8", "Rožok", "Presov", "Presov Preserved areas", "67.1 ha", "41.4 ha"], ["9", "Vihorlat", "Presov", "Presov Preserved areas", "2578 ha", "2413 ha"], ["10", "Havešová", "Presov", "Presov Preserved areas", "171.3 ha... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Season", "Tier", "Division", "Place"], ["1991/92", "3", "2ªB", "12th"], ["1996/97", "4", "3ª", "2nd"], ["1992/93", "3", "2ªB", "4th"], ["1993/94", "3", "2ªB", "15th"], ["1994/95", "3", "2ªB", "9th"], ["1995/96", "3", "2ªB", "19th"], ["1988/89", "4", "3ª", "3rd"], ["1998/99", "4", "3ª", "6th"], ["19... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["2004", "World Athletics Final", "Monte Carlo, Monaco", "4th", "3000 m st."], ["2005", "World Athletics Final", "Monte Carlo, Monaco", "8th", "3000 m st."], ["2001", "IAAF Grand Prix Final", "Melbourne, Australia", "4th", "3000 m st."], ["1996",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2004 | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Name", "Position", "College"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["3", "69", "Dez White", "WR", "Georgia Tech"], ["1", "9", "Brian Urlacher", "S", "New Mexico"], ["2", "39", "Mike Brown", "S", "Nebraska"], ["3", "87", "Dustin Lyman", "TE", "Wake Forest"], ["4", "1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | WR | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["–", "September 27, 1987", "Minnesota Vikings", "canceled", ""], ["15", "December 27, 1987", "Seattle Seahawks", "W 41–20", "20,370"], ["8", "November 8, 1987", "Pittsburgh Steelers", "L 17–16", "45,249"], ["5", "October 18, 1987", "Denver Bronco... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | September 27, 1987 | 128 | Answer: |
Table InputTable: [["Year", "Chassis", "Engine", "Start", "Finish", "Team"], ["2011", "Dallara", "Honda", "16", "17", "Team Penske"], ["2008", "Dallara", "Honda", "4", "4", "Team Penske"], ["2006", "Dallara", "Honda", "2", "25", "Team Penske"], ["2009", "Dallara", "Honda", "1", "1", "Team Penske"], ["2012", "Dallara", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chevrolet | 128 | Answer: |
Table InputTable: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["7", "August 19", "Mosport", "Greg Pickett", "Chevrolet Corvette", "Bob Tullius", "Jaguar XJS"], ["5", "July 8", "Watkins Glen‡", "Hal Shaw, Jr.\\n Monte Shelton", "Porsche... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Greg Pickett | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["6", "October 9, 1988", "Los Angeles Rams", "L 33–0", "30,852"], ["15", "December 11, 1988", "at Los Angeles Rams", "L 22–7", "42,828"], ["14", "December 4, 1988", "San Francisco 49ers", "L 13–3", "44,048"], ["8", "October 23, 1988", "New York Gi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Denver Broncos | 128 | Answer: |
Table InputTable: [["Name", "Date time (UT)", "Local time zone", "Location", "Elevation + height", "Delivery", "Purpose", "Yield", "Venting", "Notes"], ["Canna-Limoges - 2", "17 November 1972 18:00:00.16", "PST (-8 hrs)", "NTS Area U9itsyz26 37°08′22″N 116°02′00″W / 37.13953°N 116.03324°W", "1,273 m (4,177 ft) +", "u... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Diamond Sculls | 128 | Answer: |
Table InputTable: [["DATE", "OPPONENT", "SCORE", "TOP SCORER (Total points)", "VENUE"], ["July 13", "TANDUAY", "104-98", "", "PHILSPORTS ARENA"], ["February 16", "ALASKA", "73-72", "Davonn Harp (20)", "PHILSPORTS ARENA"], ["February 28", "SAN MIGUEL", "78-76", "Lowell Briones (21)", "PHILSPORTS ARENA"], ["October 24", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | February 16 | 128 | Answer: |
Table InputTable: [["Name", "Pennant", "Namesake", "Builder", "Ordered", "Laid down", "Launched", "Commissioned", "Fate"], ["Achilles", "70", "Achilles", "Cammell Laird", "16 February 1931", "11 June 1931", "1 September 1932", "24 March 1936", "Transferred to Royal New Zealand Navy as HMNZS Achilles 1941-1946\\nSold to... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Leander | 128 | Answer: |
Table InputTable: [["City", "County", "Population (2011)", "Population (2002)", "Altitude (m)", "Year status\\ngranted* or\\nfirst attested†"], ["Bucharest", "-", "1,883,425", "1,926,334", "85", "1459†"], ["Mărășești", "Vrancea", "10,671", "13,070", "", ""], ["Vașcău", "Bihor", "2,315", "3,032", "", "1956*"], ["Focșani... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | below | 128 | Answer: |
Table InputTable: [["Olympics", "Athlete", "Judge (Official)", "Coach", "Language"], ["1976 Summer Olympics", "Pierre St.-Jean", "Maurice Fauget", "-", "French (St.-Jean)/English (Fauget)"], ["1956 Summer Olympics", "John Landy (Melbourne)\\nHenri Saint Cyr (Stockholm)", "-", "-", "English/Swedish"], ["1924 Summer Olym... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | English | 128 | Answer: |
Table InputTable: [["Name", "Nationality", "From", "To", "Honours", "Comments"], ["René Heitmann", "Denmark", "17 July 2010", "27 July 2010", "", "Never coached the team in a match"], ["Ole Mørk", "Denmark", "15 October 2001", "10 October 2003", "Won promotion to first tier", "Originally had contract until end of 2004"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ole Mørk | 128 | Answer: |
Table InputTable: [["Year", "Film", "Rotten Tomatoes", "Metacritic", "IMDb"], ["2000", "Dancer in the Dark", "68%", "61%", "8.0/10"], ["1998", "The Idiots", "70%", "47%", "6.9/10"], ["2006", "The Boss of It All", "74%", "71%", "6.7/10"], ["2003", "Dogville", "70%", "59%", "8.0/10"], ["2009", "Antichrist", "48%", "49%",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 15 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Argentina", "1", "2", "5", "8"], ["4", "Chile", "2", "0", "2", "4"], ["9", "Uruguay", "0", "0", "1", "1"], ["1", "Brazil", "7", "5", "3", "15"], ["9", "Netherlands Antilles", "0", "0", "1", "1"], ["2", "Venezuela", "3", "2", "8", "13"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Colombia | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time"], ["5", "Fabíola Molina", "Brazil", "5:03.43"], ["7", "Carolyn Adel", "Suriname", "5:13.24"], ["", "Alison Fealey", "United States", "4:48.31"], ["", "Joanne Malar", "Canada", "4:43.64"], ["4", "Sonia Fonseca", "Puerto Rico", "5:03.15"], ["8", "Edith Arraspide",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["Maine", "Angus King", "Independent", "Angus King (I) 52.9%\\nCharles E. Summers, Jr. (R) 30.7%\\nCynthia Dill (D) 13... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 45.9 | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs"], ["2005", "1", "USL W-League", "6th, Western", ""], ["2008", "1", "USL W-League", "6th, Western", "Did not qualify"], ["2006", "1", "USL W-League", "5th, Western", ""], ["2010", "1", "USL W-League", "6th, Western", "Did not qualify"], ["2003",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2007", "20", "130", "–", "40", "–", "–", "—"], ["2008", "21", "64", "–", "28", "46", "46", "31"], ["2014", "27", "18", "–", "25", "14", "20", "11"], ["2009", "22", "7", "–", "6", "16", "16", "1"], ["2012", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["10", "Luis d'Antin", "Honda", "+25.044", "6"], ["20", "Gabriele Debbia", "Honda", "+1:40.049", ""], ["9", "Carlos Cardús", "Honda", "+4.893", "7"], ["21", "Adrian Bosshard", "Honda", "+1:47.492", ""], ["15", "Juan Borja", "Honda", "+1:15.76... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["District\\nbalance\\n[clarification needed]", "Area\\nkm2", "Area\\nsq mi", "Pop.\\n1998", "Pop.\\n2008", "Pop./km²\\n2008"], ["Alarm Forest", "5.9", "2.3", "289", "276", "46.8"], ["Blue Hill", "36.5", "14.1", "177", "153", "4.2"], ["Half Tree Hollow", "1.6", "0.6", "1,140", "901", "563.1"], ["Leve... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 11.8 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["31 August 1960", "Leicester City", "A", "3-1", "21,087", "Sillett, Greaves, Brooks"], ["24 December 1960", "Manchester United", "H", "1-2", "37,601", "Brabrook"], ["5 November 1960", "Newcastle United", "H", "4-2", "30,489", "Brabroo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 29 April 1961 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["1999", "World Indoor Championships", "Maebashi, Japan", "6th", "60 m hurdles"], ["2003", "World Indoor Championships", "Birmingham, England", "3rd", "60 m hurdles"], ["2000", "Olympic Games", "Sydney, Australia", "3rd", "100 m hurdles"], ["1997... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["2", "Tami Kiuru", "FIN", "128.5", "130.5", "264.7"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["4", "Adam Małysz", "POL", "127.0", "130.5", "261.5"], ["11", "Jakub Janda", "CZE", "123.5", "128.5", "252.6"], ["1", "Matt... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Andreas Kofler | 128 | Answer: |
Table InputTable: [["Association", "Joining year", "Men's team", "Women's team", "League"], ["Macau", "2002", "Macau", "Macau", "Campeonato da 1ª Divisão do Futebol"], ["Japan", "2002", "Japan", "Japan", "J. League"], ["Guam", "2002", "Guam", "Guam", "Guam League"], ["Northern Mariana Islands", "2008 1", "Northern Mari... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Rank\\n", "Date\\n", "Level at Trent Bridge\\nm", "Level at Trent Bridge\\nft", "Peak Flow\\nm3/s", "Peak Flow\\ncfs"], ["", "Normal / Avg flow", "20.7", "68", "84", "3,000"], ["2", "October 1875", "24.38", "80.0", "1,274", "45,000"], ["3", "March 1947", "24.30", "79.7", "1,107", "39,100"], ["4", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | February 1795 | 128 | Answer: |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["Yehuda Weissenstein", "Fencing", "Men's foil", "Second round", "W2–L8 (1R 2-3, 2R 0-5)"], ["Dan Alon", "Fencing", "Men's foil", "Second round", "W5–L5 (1R 3-2, 2R 2-3)"], ["Itzhak Nir", "Sailing", "Flying Dutchman", "23", "28-22-22-19-25-19-DNS ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Second round | 128 | Answer: |
Table InputTable: [["City", "County", "Population (2011)", "Population (2002)", "Altitude (m)", "Year status\\ngranted* or\\nfirst attested†"], ["Sibiu", "Sibiu", "147,245", "154,892", "415", "1366†"], ["Ocna Sibiului", "Sibiu", "3,562", "4,184", "", ""], ["Miercurea Sibiului", "Sibiu", "3,910", "4,063", "", "2004*"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | yes | 128 | Answer: |
Table InputTable: [["Game", "Date", "Opponent", "Location", "Score", "OT", "Attendance", "Record"], ["2", "January 12, 2007", "New York Titans", "HSBC Arena", "W 16–14", "", "18,690", "1–1"], ["9", "February 24, 2007", "Philadelphia Wings", "HSBC Arena", "W 13–12", "", "14,882", "5–4"], ["4", "January 20, 2007", "Minne... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 18,690 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["5", "Sept 25", "vs. Hamilton Tiger-Cats", "38–12", "Loss", "1–5"], ["12", "Nov 13", "vs. Montreal Alouettes", "14–12", "Win", "2–12"], ["10", "Oct 30", "vs. Hamilton Tiger-Cats", "30–9", "Loss", "1–11"], ["3", "Sept 11", "at Toronto Argonau... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sept 11 | 128 | Answer: |
Table InputTable: [["name", "glyph", "C string", "Unicode", "Unicode name"], ["x", "x", "x", "U+0078", "LATIN SMALL LETTER X"], ["w", "w", "w", "U+0077", "LATIN SMALL LETTER W"], ["W", "W", "W", "U+0057", "LATIN CAPITAL LETTER W"], ["X", "X", "X", "U+0058", "LATIN CAPITAL LETTER X"], ["U", "U", "U", "U+0055", "LATIN CA... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | U | 128 | Answer: |
Table InputTable: [["Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted"], ["1", "109", "20", "125", "39", "116", "58", "37", "77", "65"], ["0", "57", "19", "108", "38", "113", "57", "91", "76", "79"], ["3", "46", "22", "69", "41", "102", "60", "51", "79", "6... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 79, 80 | 128 | Answer: |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["Cologne Cathedral", "Germany", "Cologne", "157.4 / 516", "Church", "1880–1884", ""], ["Lincoln Cathedral", "England", "Lincoln", "159.7 / 524", "Church", "1311–1549", "Spire collapsed in 1549; today, sta... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 years | 128 | Answer: |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Jake Gosling", "1", "0", "0", "0", "1"], ["Jamie Cureton", "20", "0", "0", "0", "20"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["Alan Gow", "4", "0", "0", "0", "4"], ["OWN GOALS", "0", "0", "0", "0", "0"], ["Scot Bennett", "5", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 19 | 128 | Answer: |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Khabarovsk Krai", "Anastasija Katriova", "Анастасия Катриова", "18", "1.76 m (5 ft 9 1⁄2 in)", "Khabarovsk"], ["Altai Krai", "Anastasija Nindova", "Анастасия Ниндова", "22", "1.74 m (5 ft 8 1⁄2 in)", "Barnaul"], ["Krasnodar Krai... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | less | 128 | Answer: |
Table InputTable: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Saxophone", "Bongo-Bot the Six-Armed Robot", "Antoine-Joseph Sax", "1846", "France", "Six-Armed Drum Player"], ["Boomerang", "Oswald the Mailman Robot", "Aborigines", "40,000 years ago", "Australia", "Mailman"], ["Tools", "Hank t... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 25 | 128 | Answer: |
Table InputTable: [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["1", "Alejandro Valverde (ESP)", "Caisse d'Epargne", "5h 29' 10\"", "40"], ["2", "Alexandr Kolobnev (RUS)", "Team CSC Saxo Bank", "s.t.", "30"], ["6", "Denis Menchov (RUS)", "Rabobank", "s.t.", "11"], ["5", "Franco Pellizotti (ITA)", "Liqu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Samuel Sánchez (ESP), Haimar Zubeldia (ESP) | 128 | Answer: |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["2", "27", "Amy Rudolph (USA)", "16:00.87", ""], ["1", "9", "Libbie Hickman (USA)", "15:30.56 q", "SB"], ["1", "36", "Martha Portobanco (NCA)", "19:08.44", ""], ["1", "21", "Melody Fairchild (USA)", "15:47.66", ""], ["1", "5", "Roberta Brunet (ITA)", "15:... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["2", "107*", "Desmond Haynes", "West Indies", "137", "1", "Pakistan", "1 November 1989", "Lost"], ["3", "100*", "Sachin Tendulkar", "India", "103", "2", "Kenya", "31 May 1998", "Won"], ["6", "134*", "Graeme Smit... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pakistan | 128 | Answer: |
Table InputTable: [["Number", "Name", "Service", "From", "To"], ["11", "MG John F. Williams", "USA", "January 31, 1940", "January 30, 1944"], ["(Acting)", "COL John F. Williams", "USA", "January 17, 1936", "January 30, 1936"], ["(Acting)", "MG John F. Williams", "USA", "January 31, 1944", "January 31, 1946"], ["27", "G... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Less | 128 | Answer: |
Table InputTable: [["Single / EP", "Tracks", "Label", "Year", "Album"], ["Los Angeles", "Los Angeles\\nLos Angeles feat. Whiskey Pete (Clean Mix)\\nLos Angeles feat. Whiskey Pete (Dirty Mix)", "Burn The Fire", "2010", "The Agenda"], ["2012 – Remix Contest EP", "2012 (Remastered)", "Burn The Fire", "2012", "The Agenda"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["No. in\\nseason", "No. in\\nseries", "Title", "Canadian airdate", "US airdate", "Production code"], ["9", "326", "\"This Is How We Do It\"", "October 3, 2013", "October 3, 2013", "1309"], ["39", "356", "\"Thunderstruck\" Part One", "July 29, 2014", "July 29, 2014", "1339"], ["13", "330", "\"Who Do ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 21 days | 128 | Answer: |
Table InputTable: [["Rank", "Player Name", "No. of Titles", "Runner-up", "Final Appearances"], ["9", "Thierry Lincou", "1", "1", "2"], ["17", "James Willstrop", "0", "1", "1"], ["1", "Jansher Khan", "8", "1", "9"], ["12", "Rodney Martin", "1", "0", "1"], ["17", "Lee Beachill", "0", "1", "1"], ["8", "Peter Nicol", "1", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jansher Khan | 128 | Answer: |
Table InputTable: [["Thread\\nnominal size", "Outer diameter\\n[mm (in)]", "Threads per inch\\n(TPI)", "Pitch\\n[in (mm)]", "Inner diameter\\n[mm (in)]", "Cable diameter\\n[mm (in)]"], ["PG42", "54.0 (2.126)", "16", "0.0625 (1.5875)", "52.48 (2.066)", ""], ["PG11", "18.6 (0.732)", "18", "0.05556 (1.4112)", "17.26 (0.68... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | PG7 | 128 | Answer: |
Table InputTable: [["School", "Season", "Record", "Conference Record", "Place", "Postseason"], ["Illinois", "1917–18", "9–6", "6–6", "T4th", ""], ["Illinois", "1916–17", "13–3", "10–2", "T1st", "Big Ten Champions"], ["Illinois", "1912–20", "85–34", "64–31", "–", ""], ["Illinois", "1915–16", "13–3", "9–3", "T2nd", ""], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1914-15 | 128 | Answer: |
Table InputTable: [["Game", "Date", "Opponent", "Location", "Score", "OT", "Attendance", "Record"], ["16", "April 14, 2007", "@ Rochester Knighthawks", "Blue Cross Arena", "L 8–14", "", "11,200", "10–6"], ["15", "April 13, 2007", "Rochester Knighthawks", "HSBC Arena", "L 10–14", "", "15,334", "10–5"], ["2", "January 12... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Home | 128 | Answer: |
Table InputTable: [["Rank", "City", "Passengers", "Ranking", "Airline"], ["6", "Baja California Sur, Los Cabos", "37,526", "1", "Interjet"], ["3", "Guerrero, Acapulco", "56,069", "", "Aeroméxico Connect, Interjet"], ["4", "Jalisco, Guadalajara", "52,584", "", "Aeroméxico Connect, Volaris"], ["5", "Jalisco, Puerto Valla... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2006", "Spartak Nizhny Novgorod", "Russia", "2", "36", "1"], ["2005", "CSKA Moscow", "Russia", "1", "0", "0"], ["2004", "CSKA Moscow", "Russia", "1", "0", "0"], ["2011/12", "Dnipro Dnipropetrovsk", "Ukraine", "1", "16", "0"], ["2009/10", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dnipro Dnipropetrovsk | 128 | Answer: |
Table InputTable: [["#", "Name", "Height", "Weight (lbs.)", "Position", "Class", "Hometown", "Previous Team(s)"], ["40", "Jon Brockman", "6'7\"", "255", "F", "Jr.", "Snohomish, WA, U.S.", "Snohomish Sr. HS"], ["20", "Ryan Appleby", "6'3\"", "170", "G", "Sr.", "Stanwood, WA, U.S.", "Florida"], ["11", "Matthew Bryan-Aman... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | no | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air Date", "Timeslot", "Rating", "Share", "18-49", "Viewers", "Weekly Rank"], ["4", "\"Do-Si-Do\"", "May 28, 2008", "9:00 P.M.", "1.8", "3", "0.9/2 (#5)", "2.44 (#5)", "75/87"], ["7", "\"A Family Affair\"", "June 18, 2008", "9:00 P.M.", "1.5", "3", "0.8/2 (#5)", "2.00 (#5)", "TBA"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "As Country as Apple Pie" | 128 | Answer: |
Table InputTable: [["Name", "Location", "Date established", "Area", "Description"], ["Redwood", "California\\n41°18′N 124°00′W / 41.30°N 124.00°W", "October 2, 1968", "112,512.05 acres (455.3 km2)", "This park and the co-managed state parks protect almost half of all remaining Coastal Redwoods, the tallest trees on E... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 37 miles (60 km) | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "4.", "18 June 2011", "Aegon International, United Kingdom", "Grass", "Andreas Seppi", "6–7(5–7), 6–3, 3–5 ret."], ["Winner", "2.", "23 October 2011", "Kremlin Cup, Russia", "Hard (i)", "Viktor Troicki", "6–4, 6–2... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["Quarterfinals-2", "2008..", "[[]]", "[[]]", "-"], ["Quarterfinals-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-6", "2008..", "[[]]", "[[]]", "-"], ["GL-B-5", "2008..... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 0 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Germany", "19", "28", "31", "78"], ["1", "China", "63", "46", "32", "141"], ["10", "Japan", "17", "16", "20", "53"], ["5", "Australia", "26", "38", "36", "100"], ["4", "United States", "27", "22", "39", "88"], ["6", "Ukraine", "24", "12"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Great Britain | 128 | Answer: |
Table InputTable: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["4", "4", "Close Encounters", "November 15, 1998", "104"], ["2", "2", "Who's The Man", "November 1, 1998", "102"], ["6", "6", "Switcheroo", "November 29, 1998", "106"], ["1", "1", "Going Up!", "October 25, 1998"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["2", "Fylkir", "18", "10", "5", "3", "39", "16", "+23", "35", "UEFA Cup"], ["3", "Grindavík", "18", "8", "6", "4", "25", "18", "+7", "30", "UEFA Cup"], ["10", "Leiftur", "18", "3", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Tablet", "Genealogy", "Narrative", "Colophon"], ["7", "Terah to Abraham 11:27", "11:28 to 25:11", "\"This is the account of Abraham's son Ishmael.\" 25:12 (eldest son)"], ["9", "Abraham to Isaac 25:19", "25:20 to 35:29", "\"This is the account of Esau.\" 36:1 (eldest son)"], ["6", "Shem to Terah 11... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Shem to Terah 11:10 - 26 | 128 | Answer: |
Table InputTable: [["Name", "Owner", "Location", "Notes", "Transmission", "Website"], ["Multiradio", "Multiradio srl", "Massafra, (TA)", "Local; Adult Contemporary", "FM", "http://www.multiradio.it"], ["Radio Dimensione Suono", "", "Rome", "Commercial; It is also called RDS", "FM, DAB, DAB+, DVB-S", "http://www.rds.it"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["№", "#", "Title", "Directed by", "Written by", "Original air date", "Production\\ncode"], ["1", "1", "\"Class of Beverly Hills\"", "Tim Hunter", "Darren Star", "October 4, 1990", "–"], ["12", "12", "\"One Man and a Baby\"", "Burt Brinckerhoff", "Amy Spies", "January 24, 1991", "2190011"], ["14", "1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tim Hunter | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Nation", "Swimmers", "Time", "Time behind", "Notes"], ["", "4", "United States", "Michael Phelps (1:46.49)\\nRyan Lochte (1:47.52)\\nPeter Vanderkaay (1:47.79)\\nKlete Keller (1:45.53)", "7:07.33", "", "AM"], ["", "7", "Italy", "Emiliano Brembilla (1:48.16)\\nMassimiliano Rosolino (... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Tomislav Kostadinov", "0", "0", "1", "1"], ["Emil Gargorov", "2", "0", "0", "2"], ["Michel Platini", "10", "0", "0", "10"], ["Marquinhos", "9", "1", "3", "13"], ["Kostadin Stoyanov", "1", "0", "0", "1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Team", "No", "Driver", "Class", "Rounds"], ["Fortec Motorsport", "25", "George Katsinis", "", "All"], ["Fortec Motorsport", "26", "Christof von Grünigen", "", "All"], ["Fortec Motorsport", "24", "Jack Harvey", "", "All"], ["Mücke Motorsport", "7", "Maciej Bernacik", "R", "All"], ["Mücke Motorsport"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 19 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["10 December 2005", "Charlton Athletic", "The Valley", "0–2", "26,065", ""], ["11 March 2006", "Wigan Athletic", "Stadium of Light", "0–1", "31,194", ""], ["25 February 2006", "Birmingham City", "St. Andrew's", "0–1", "29,257", ""], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | 128 | Answer: |
Table InputTable: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["164 km/h (102 mph)", "1904-05-09", "UK", "GWR 3700 Class 3440 City of Truro", "Loc", "Steam", "Unmod.", "Claimed[by whom?] to be the first steam locomotive to reach100 mph (161 km/h).[citation needed]"], ["182.4 km/h (113 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Michel Platini", "10", "0", "0", "10"], ["Christian Tiboni", "0", "0", "1", "1"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Giuseppe Aquaro", "3", "0", "2", "5"], ["Total", "53", "11", "14", "78"], ["Marquinhos", "9", "1", "3", "13"], ["Emi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["10", "Yugoslavia", "3", "1", "1", "5"], ["21", "South Korea", "0", "0", "1", "1"], ["1", "Soviet Union", "26", "17", "15", "58"], ["17", "Czechoslovakia", "0", "1", "0", "1"], ["12", "Austria", "1", "1", "1", "3"], ["11", "Netherlands", "1", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | United States | 128 | Answer: |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Cillian Sheridan", "4", "2", "1", "7"], ["Spas Delev", "13", "7", "2", "22"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Tomislav Kostadinov", "0", "0", "1", "1"], ["Rumen Trifonov", "2", "0", "1", "3"], ["Kostadin Stoyanov", "1", "0", "0", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 15 | 128 | Answer: |
Table InputTable: [["#", "Title", "Singer(s)", "Lyricist", "Length"], ["2", "\"Ichak Dana Beechak Dana\"", "Mukesh, Lata Mangeshkar", "Hasrat Jaipuri", "5:08"], ["3", "\"Mera Juta Hai Japani\"", "Mukesh", "Shailendra", "4:33"], ["7", "\"Ramaiya Vastavaiya\"", "Mohammed Rafi, Lata Mangeshkar, Mukesh", "Shailendra", "6:1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Mera Juta Hai Japani" | 128 | Answer: |
Table InputTable: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Valhardi", "1984–1986", "2", "Jacques Stoquart and André-Paul Duchâteau", "Dupuis", "Continuation of the series after Jijé and Eddy Paape"], ["Shelena", "2005", "1", "Jéromine Pasteur", "Casterman", ""], ["Ivan Zourine", "1979", "2", "J... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["6", "Italy", "–", "2", "1", "3"], ["7", "Russia", "–", "1", "1", "2"], ["8", "China", "–", "–", "1", "1"], ["4", "Hungary", "1", "1", "3", "5"], ["1", "Netherlands", "8", "3", "1", "12"], ["2", "Australia", "3", "3", "4", "10"], ["3", "United... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Australia, United States | 128 | Answer: |
Table InputTable: [["Game", "Day", "Date", "Kickoff", "Opponent", "Results\\nScore", "Results\\nRecord", "Location", "Attendance"], ["1", "Sunday", "November 10", "3:05pm", "at Las Vegas Legends", "L 3–7", "0–1", "Orleans Arena", "1,836"], ["2", "Sunday", "November 17", "1:05pm", "Monterrey Flash", "L 6–10", "0–2", "Un... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4,954 | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["13", "18", "Justin Wilson", "Dale Coyne Racing", "85", "+ 53.5768", "2", "28", "17"], ["1", "9", "Scott Dixon", "Chip Ganassi Racing", "85", "1:46:05.7985", "3", "51", "52"], ["19", "7", "Danica Patrick", "Andre... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Randy Savage", "2", "1981", "Unknown", ""], ["Randy Savage", "3", "1982", "Unknown", ""], ["Randy Savage", "1", "March 13, 1979", "Halifax, Nova Scotia", ""], ["Lanny Poffo", "3", "1981", "Unknown", ""], ["Lanny Poffo", "1", "May 10, 1978", "Sa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Randy Savage, Lanny Poffo | 128 | Answer: |
Table InputTable: [["Season", "Conference", "Head Coach", "Total Wins", "Total Losses", "Total Ties", "Conference Wins", "Conference Losses", "Conference Ties", "Conference Standing", "Postseason Result"], ["2005", "Southern", "Kevin Higgins", "4", "7", "—", "2", "5", "—", "7", "—"], ["2007", "Southern", "Kevin Higgins... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2007 | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["1998", "4", "USISL PDSL", "4th, Central", "Division Finals", "1st Round"], ["1999", "4", "USL PDL", "5th, Heartland", "Did not qualify", "Did not qualify"], ["2009", "4", "USL PDL", "6th, Heartland", "Did not qualify", "Did n... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 16 | 128 | Answer: |
Table InputTable: [["Hand", "Auto", "Wind", "Athlete", "Nationality", "Birthdate", "Location", "Date"], ["", "10.95", "", "Karl Heinz Schröder", "Germany", "17.06.1939", "Hannover", "28.07.1979"], ["", "10.90", "", "Thaddeus Bell", "United States", "28.11.1942", "Raleigh", "01.05.1988"], ["", "10.26", "2.3", "Troy Doug... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | United States | 128 | Answer: |
Table InputTable: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2008", "Matt Jordan", "Nevio Pizzolitto", "Joey Gjertsen", "Stefano Pesoli"], ["2010", "Philippe Billy", "Philippe Billy", "Tony Donatelli", "Ali Gerba"], ["2011", "Hassoun Camara", "Evan Bush", "Simon Gatti", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Philippe Billy | 128 | Answer: |
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