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: [["", "Name on the Register", "Date listed", "Location", "City or town", "Summary"], ["32", "Strafford Union Academy", "September 22, 1983\\n(#83001155)", "NH 126 and NH 202A\\n43°16′07″N 71°07′23″W / 43.268611°N 71.123056°W", "Strafford", ""], ["31", "Strafford County Farm", "February 25, 1981\\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:... | 40 | 128 | Answer: |
Table InputTable: [["Place", "Shooter", "5 pts", "4 pts", "3 pts", "2 pts", "1 pts", "0 pts", "Total", "Rank"], ["6", "Elemér Takács", "1", "2", "3", "-", "1", "3", "23", "23"], ["4", "Cyril Mackworth-Praed", "6", "-", "3", "1", "-", "-", "41", "3"], ["4", "John Faunthorpe", "-", "5", "4", "-", "-", "1", "32", "16"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cyril Mackworth-Praed | 128 | Answer: |
Table InputTable: [["Season", "Age", "Overall", "Slalom", "Giant\\nSlalom", "Super G", "Downhill", "Combined"], ["2010", "12 Mar 2010", "Garmisch, Germany", "Giant Slalom", "", "", "", ""], ["2011", "5 Mar 2011", "Kranjska Gora, Slovenia", "Giant Slalom", "", "", "", ""], ["2009", "13 Dec 2008", "Val d'Isère, France", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2010 | 128 | Answer: |
Table InputTable: [["Region", "Physician (GP & specialist)", "Physician : Population Ratio", "Health Officer", "HO : Population Ratio", "All Nurses", "Nurse : Population Ratio", "Mid-wives", "Mid Wife: Population Ratio", "HEW*", "HEW : Population Ratio"], ["Amhara", "304", "1:58,567", "434", "1:41,024", "3,790", "1:4,6... | 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:... | Afar | 128 | Answer: |
Table InputTable: [["Year", "Winner", "Age", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Purse", "Gr"], ["1954", "Correlation", "3", "Bill Shoemaker", "Noble Threewitt", "Robert S. Lytle", "1-1/8", "1:55.20", "", ""], ["1962", "Ridan", "3", "Manuel Ycaza", "LeRoy Jolley", "Jolley / Woods / Greer", "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:... | Sky Ship | 128 | Answer: |
Table InputTable: [["Year", "Manufacturer", "Model", "Length (feet)", "Quantity", "Fleet Series", "Fuel Propulsion", "Powertrain"], ["1996", "New Flyer", "D60", "60 (articulated)", "30", "1901-1930*", "Diesel", "Detroit Diesel Series 50\\nAllison B400R"], ["1998", "NABI", "416", "40", "133", "3001-3067, 3101-3166*", "D... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | New Flyer | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["6", "South Korea", "0", "0", "2", "2"], ["5", "North Korea", "1", "0", "1", "2"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["4", "Kazakhstan", "2", "2", "0", "4"], ["1", "China", "13", "9", "13", "35"], ["2", "Japan", "7", "10", "7", "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:... | North Korea | 128 | Answer: |
Table InputTable: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["4", "Marilyn Musgrave", "Re-election", "Betsy Markey", "Marilyn Musgrave"], ["5", "Doug Lamborn", "Re-election", "Hal Bidlack", "Doug Lamborn"], ["3", "John... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Winner", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Win $"], ["1990", "Aishah", "Jose A. Santos", "Flint S. Schulhofer", "Helen K. Groves", "1", "1:35.40", "$57,690"], ["2001", "Voodoo Dancer", "Corey Nakatani", "Christophe Clement", "Green Hills Farms", "1-1/8", "1:47.69"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Competition", "Venue", "Position", "Notes"], ["2006", "World Junior Championships", "Beijing, China", "5th", "5.30 m"], ["2012", "European Championships", "Helsinki, Finland", "6th", "5.60 m"], ["2011", "World Championships", "Daegu, South Korea", "9th", "5.65 m"], ["2010", "European Champi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Representative", "Party", "Home Town/City", "District"], ["Jose Menendez", "D", "San Antonio", "124"], ["Philip Cortez", "D", "San Antonio", "117"], ["Lyle Larson", "R", "San Antonio", "122"], ["Joe Farias", "D", "San Antonio", "118"], ["Roland Gutierrez", "D", "San Antonio", "119"], ["Ruth McClend... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["10", "8", "Tim Schenken", "Brabham-Ford", "76", "+ 4 Laps", "18", ""], ["8", "27", "Henri Pescarolo", "March-Ford", "77", "+ 3 Laps", "13", ""], ["Ret", "7", "Graham Hill", "Brabham-Ford", "1", "Accident", "9", ""], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Graham Hill | 128 | Answer: |
Table InputTable: [["name", "glyph", "C string", "Unicode", "Unicode name"], ["L", "L", "L", "U+004C", "LATIN CAPITAL LETTER L"], ["a", "a", "a", "U+0061", "LATIN SMALL LETTER A"], ["R", "R", "R", "U+0052", "LATIN CAPITAL LETTER R"], ["A", "A", "A", "U+0041", "LATIN CAPITAL LETTER A"], ["r", "r", "r", "U+0072", "LATIN ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 52 | 128 | Answer: |
Table InputTable: [["Rank", "Heat", "Name", "Nationality", "Time", "Notes"], ["8", "2", "Chaleunsouk Oudomphanh", "Laos", "11.76", "SB"], ["5", "4", "Nguyen Thanh Hai", "Vietnam", "11.16", "PB"], ["", "3", "Sudath Ravindra Kumara", "Sri Lanka", "DQ", ""], ["4", "1", "Chintake De Zoysa", "Sri Lanka", "10.78", "q"], ["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:... | Chaleunsouk Oudomphanh | 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"], ["10", "Sunday", "January 12", "1:05pm", "Las Vegas Legends", "W 10–7", "5–5", "... | 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:... | 7 | 128 | Answer: |
Table InputTable: [["Celebrity", "Residence", "Famous for.../Occupation", "Age", "Status"], ["Brenda Cerdá", "Valencia", "Reality show star", "19", "4th Evicted"], ["Raúl Hidalgo", "Valladolid", "Reality show star", "29", "6th Evicted"], ["Pedro Reche, \"Reche\"", "Langreo, Asturias", "Reality show star", "27", "9th Ev... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Title", "Rol", "Format", "Related Links"], ["2008", "Me Mueves 1° Temporada", "Arturo", "Serie", "https://www.youtube.com/watch?v=lj2Q6rrOK1k"], ["2009", "Me Mueves 2° Temporada", "Arturo", "Serie", "https://www.youtube.com/watch?v=fNE5WHZ_tt8&feature=related"], ["2004", "El Divan De Valent... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Kit Manufacturer", "Shirt Sponsor", "Back of Shirt Sponsor", "Short Sponsor"], ["1999–2004", "Errea", "Towergate Insurance", "", ""], ["2004–2008", "Errea", "Bence Building Merchants", "", ""], ["1996–1997", "UK", "Endsleigh Insurance", "", ""], ["2009–2011", "Errea", "Mira Showers", "PSU 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:... | 13 | 128 | Answer: |
Table InputTable: [["#", "Name", "Height", "Weight (lbs.)", "Position", "Class", "Hometown", "Previous Team(s)"], ["32", "Joe Wolfinger", "7'0\"", "255", "C", "RS So.", "Portland, OR, U.S.", "Northfield Mount Hermon School"], ["21", "Artem Wallace", "6'8\"", "250", "C", "Jr.", "Toledo, WA, U.S.", "Toledo HS"], ["44", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jon Brockman | 128 | Answer: |
Table InputTable: [["Year", "Song", "US Hot 100", "U.S. Modern Rock", "U.S. Mainstream Rock", "Album"], ["1997", "\"One Thing\"", "-", "-", "-", "Pacifier"], ["2003", "\"Ether\"", "-", "-", "-", "Skeletons"], ["1998", "\"Breathe Out\"", "-", "-", "-", "An Audio Guide To Everyday Atrocity"], ["2001", "\"Bleeder\"", "-",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["Yossef Romano", "Weightlifting", "Middleweight <75 kg", "—", "(retired injured on third attempt to press 137.5kg)"], ["Mark Slavin", "Wrestling", "Greco-Roman — Middleweight <82 kg", "—", "(taken hostage before his scheduled event)"], ["Yehuda W... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yossef Romano | 128 | Answer: |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Todor Yanchev", "0", "1", "1", "2"], ["Tomislav Kostadinov", "0", "0", "1", "1"], ["Boris Galchev", "1", "0", "0", "1"], ["Pavel Vidanov", "0", "0", "1", "1"], ["Aleksandar Tonev", "2", "0", "0", "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:... | More | 128 | Answer: |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7EX", "Launceston", "1008", "AM", "Moved to FM in 2008 as 7EXX", "silent", "Commercial"], ["7CAE", "Hobart", "092.1", "FM", "Changed call to 7THE ca. 1980", "7THE", "Community"], ["7HT", "Hobart", "1080", "AM", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | 128 | Answer: |
Table InputTable: [["Network name", "Flagship", "Programming type", "Owner", "Affiliates"], ["Galavisión", "XEQ 9", "retro programming and sports", "Televisa", "1"], ["Canal de las Estrellas", "XEW 2", "soap operas, retro movies and sports", "Televisa", "10"], ["Canal 5", "XHGC 5", "cartoons, movies, and series", "Tele... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Goal", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["6", "2012-2-29", "Tsirion Stadium, Limassol, Cyprus", "Canada", "1-1", "1-3", "Friendly match"], ["7", "2012-2-29", "Tsirion Stadium, Limassol, Cyprus", "Canada", "1-2", "1-3", "Friendly match"], ["1", "2008-5-28", "Sheriff St... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Moldova | 128 | Answer: |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["1971", "Cologne", "Royal Sporting Club Anderlecht", "Real Zaragoza", "-"], ["1999", "Real Zaragoza", "Feyenoord Rotterdam", "-", "-"], ["1982", "Manchester United F.C.", "Real Zaragoza", "MTK Hungária FC", "Budapest Honvéd FC"], ["1994", "Real Z... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Spain | 128 | Answer: |
Table InputTable: [["Opus", "Title", "Subdivisions", "Compo-sition", "Première date", "Place, theatre"], ["16", "Wahnopfer", "3 acts", "1928", "1994", "Rudolstadt, Heidecksburg only libretto and Act 1 finished"], ["12a", "Das Liebesopfer (libretto only, no music completed)", "4 acts", "1917", "", ""], ["17", "Walamund... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1898 | 128 | Answer: |
Table InputTable: [["Builder", "Works numbers", "Dates", "CN numbers", "GT numbers", "Notes"], ["MLW", "39548-39562\\n40583-40622", "1906", "2525-2566\\n2663", "651-705", ""], ["MLW", "42331-42345\\n43150-43164", "1907", "2577-2605\\n2661-2662\\n2685", "721-750", ""], ["ALCO", "49663-49674", "1911", "2616-2625\\n2677-2... | 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:... | ALCO | 128 | Answer: |
Table InputTable: [["District", "Incumbent", "Party", "First\\nelected", "Result", "Candidates"], ["Maryland 7", "Elijah Cummings", "Democratic", "1996", "Re-elected", "Elijah Cummings (D) 73.53%\\nJoseph Ward (R) 26.38%"], ["Maryland 3", "Ben Cardin", "Democratic", "1986", "Re-elected", "Ben Cardin (D) 65.72%\\nScott ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Albert Wynn | 128 | Answer: |
Table InputTable: [["#", "Directed By", "Written By", "Original Air Date"], ["4", "Gerry Poulson", "David Humphries", "October 12, 1997"], ["3", "Gerry Poulson", "David Humphries", "October 5, 1997"], ["5", "John Reardon", "Neil McKay", "October 26, 1997"], ["9", "Douglas Mackinnon", "Neil McKay", "November 23, 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:... | 10 | 128 | Answer: |
Table InputTable: [["Language", "2001 census[1]\\n(total population 1,004.59 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", ""], ["Punjabi", "130,000,000", "100,017,615", "20.87%", "113 M"], ["Bengali", "230,000,000", "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:... | Hindi | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Nationality", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints", "Final\\nRank"], ["27", "Marion Farissier", "France", "221.65", "27", "", ""], ["7", "Sharleen Stratton", "Australia", "282.45", "3", "281.65", "7"], ["24", "Fanny Bouvet", "France", "227.10", "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:... | Hsu Shi-Han | 128 | Answer: |
Table InputTable: [["Year", "Premiers", "Score", "Runners Up", "Score"], ["2006", "Manunda Hawks", "11.11 (77)", "Centrals Trinity Beach Bulldogs", "10.9 (69)"], ["2008", "Cairns Saints", "12.15 (87)", "North Cairns Tigers", "2.9 (21)"], ["2007", "Centrals Trinity Beach Bulldogs", "14.16 (100)", "Cairns Saints", "11.2 ... | 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:... | Port Douglas Crocs | 128 | Answer: |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["2.", "Cesc Fàbregas", "Arsenal", "29+5(variables)", "2011"], ["1.", "Neymar", "Santos FC", "86.0", "2013"], ["3.", "Alexis Sánchez", "Udinese", "26+11(add ons)", "2011"], ["7.", "Adriano", "Sevilla", "13.5", "2010"], ["4.", "Javier ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["Event", "Gold", "Time", "Silver", "Time", "Bronze", "Time"], ["K–1 200 m", "Lisa Carrington (NZL)", "39.998", "Marta Walczykiewicz (POL)", "40.472", "Inna Osypenko-Radomska (UKR)", "40.670"], ["K–2 200 m", "Hungary\\nKatalin Kovács\\nDanuta Kozák", "37.667", "Poland\\nKarolina Naja\\nMagdalena Kruk... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | K-1 500 m | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["4", "Norway (NOR)", "0", "2", "2", "4"], ["3", "West Germany (FRG)", "2", "0", "0", "2"], ["1", "Netherlands (NED)", "4", "3", "2", "9"], ["5", "Soviet Union (URS)", "0", "1", "2", "3"], ["6", "Sweden (SWE)", "0", "1", "1", "2"], ["2", "Unite... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Award", "Category", "Nominee", "Result"], ["Golden Globe Awards, 1972", "Best Motion Picture", "Phillip D'Antoni", "Won"], ["Golden Globe Awards, 1972", "Best Director", "William Friedkin", "Won"], ["Golden Globe Awards, 1972", "Best Actor", "Gene Hackman", "Won"], ["Golden Globe Awards, 1972", "Be... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Iteration", "Year", "Dates", "Location", "Theme"], ["9th", "2004", "22 July-31 July", "Koror, Palau", "\"Nurture, Regenerate, Celebrate\""], ["3rd", "1980", "30 June-12 July", "Port Moresby, Papua New Guinea", "\"Pacific awareness\""], ["11th", "2012", "1–14 July", "Honiara, Solomon Islands", "\"Cu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Time", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 15", "7:00 PM", "Utah State*", "#22", "Camp Randall Stadium • Madison, WI", "BTN", "W 16–14", "79,332"], ["September 1", "2:30 PM", "#9 (FCS) Northern Iowa*", "#12", "Camp Randall Stadium • Madison, WI", "BTN", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["27", "Stade Sébastien Charléty", "20,000", "Paris", "Île-de-France", "Paris FC", "1938"], ["4", "Parc des Princes", "48,712", "Paris", "Île-de-France", "Paris Saint-Germain FC", "1897"], ["10", "Stadium Municipal", "35,575", "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:... | 3 | 128 | Answer: |
Table InputTable: [["Period", "Live births per year", "Deaths per year", "Natural change per year", "CBR*", "CDR*", "NC*", "TFR*", "IMR*"], ["1985-1990", "406 000", "179 000", "227 000", "55.9", "24.6", "31.3", "7.81", "155"], ["1990-1995", "471 000", "192 000", "279 000", "55.5", "22.7", "32.8", "7.78", "146"], ["1980... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 227000 | 128 | Answer: |
Table InputTable: [["No", "Name", "Code", "Formed", "Headquarters", "Administrative\\nDivision", "Area (km2)", "Population\\n(2001 census)", "% of State\\nPopulation", "Density\\n(per km2)", "Urban (%)", "Literacy (%)", "Sex Ratio", "Tehsils", "Source"], ["32", "Thane", "TH", "1 May 1960", "Thane", "Konkan", "9,558", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mumbai Suburban | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air Date", "Timeslot", "Rating", "Share", "18-49", "Viewers", "Weekly Rank"], ["6", "\"It's Show Time\"", "June 11, 2008", "9:00 P.M.", "1.3", "2", "0.8/2 (#5)", "2.04 (#5)", "76/88"], ["7", "\"A Family Affair\"", "June 18, 2008", "9:00 P.M.", "1.5", "3", "0.8/2 (#5)", "2.00 (#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:... | 3 weeks | 128 | Answer: |
Table InputTable: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["4", "ÍBV", "18", "8", "5", "5", "29", "17", "+12", "29", "Inter-Toto Cup"], ["3", "Grindavík", "18", "8", "6", "4", "25", "18", "+7", "30", "UEFA Cup"], ["6", "Keflavík", "18", "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:... | 5 | 128 | Answer: |
Table InputTable: [["Date", "Competition", "Location", "Country", "Event", "Placing", "Rider", "Nationality"], ["1 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Sprint", "1", "Jason Kenny", "GBR"], ["31 October 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Keirin", "2", "Jason Ken... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["25.", "12722", "Dakshin Express", "16:00", "16:02", "Daily"], ["34.", "51152", "Narkhed-New Amravati Pass", "N/a", "18:00", "Daily"], ["12.", "51829", "Nagpur-Agra Pass", "09:41", "09:42", "Daily"], ["14.", "12721", "Daks... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Common name", "District", "Hebrew", "Arabic", "Population\\n(2009)", "Area\\n(km²)", "Mayor"], ["Ramla", "Center", "רמלה", "الرملة", "65,800", "11.854", "Yoel Lavi"], ["Yehud-Monosson", "Center", "יהוד-מונוסון", "يهود مونوسون", "26,500", "5.014", "Yossi Ben-David"], ["Herzliya", "Tel Aviv", "הרצליה... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["15", "Brad Lackey", "United States", "ČZ", "603", "0"], ["16", "Gary Jones", "United States", "Yamaha", "439", "0"], ["4", "Roger De Coster", "Belgium", "Suzuki", "1865", "3"], ["17", "John DeSoto", "United States", "Suzuki", "425", "0"], ["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:... | Peter Lamppu | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time", "Notes", "Points"], ["7", "Joni Jaako", "Sweden", "1:47.61", "SB", "6"], ["6", "Oleh Kayafa", "Ukraine", "1:47.42", "", "7"], ["8", "Robin Schembera", "Germany", "1:47.79", "", "5"], ["12", "Milan Kocourek", "Czech Republic", "1:59.28", "", "1"], ["5", "Anis An... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1:47.61 | 128 | Answer: |
Table InputTable: [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["2", "Alexandr Kolobnev (RUS)", "Team CSC Saxo Bank", "s.t.", "30"], ["6", "Denis Menchov (RUS)", "Rabobank", "s.t.", "11"], ["1", "Alejandro Valverde (ESP)", "Caisse d'Epargne", "5h 29' 10\"", "40"], ["7", "Samuel Sánchez (ESP)", "Euskalt... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Italy | 128 | Answer: |
Table InputTable: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["1998", "153", "14", "", ""], ["1995", "139", "", "", ""], ["2009", "no data", "12", "no data", ""], ["1997", "141", "", "", ""], ["2008", "no data", "19", "no data", ""], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1996 | 128 | Answer: |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2007", "New South Wales", "", "Alkupitja", "Cat Tigers", "CGA Cougars"], ["2009", "Queensland", "", "Alkupitja", "Tangentyere", "New South Wales"], ["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:... | Tangentyere | 128 | Answer: |
Table InputTable: [["ZOOM", "Cast Member 1", "Cast Member 2", "Cast Member 3", "Cast Member 4", "Cast Member 5", "Cast Member 6", "Cast Member 7"], ["Season 3 (2001)", "Frances Domond", "Kenneth \"Kenny\" Yates", "Rachel Redd", "Eric Rollins", "Kaleigh Cronin", "Kevin \"Buzz\" Barrette", "Caroline Botelho"], ["Season 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:... | Season 3 (2001) | 128 | Answer: |
Table InputTable: [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["6", "Denis Menchov (RUS)", "Rabobank", "s.t.", "11"], ["8", "Stéphane Goubert (FRA)", "Ag2r-La Mondiale", "+ 2\"", "5"], ["2", "Alexandr Kolobnev (RUS)", "Team CSC Saxo Bank", "s.t.", "30"], ["1", "Alejandro Valverde (ESP)", "Caisse d'Epa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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) | 128 | Answer: |
Table InputTable: [["Team", "City", "Years active", "Seasons played", "Win–loss record", "Win%", "Playoffs appearances"], ["Indianapolis Jets", "Indianapolis, Indiana", "1948–1949", "1", "18–42", ".300", "0"], ["Baltimore Bullets*", "Baltimore, Maryland", "1947–1954", "8", "158–292", ".351", "3"], ["Toronto Huskies", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Baltimore Bullets | 128 | Answer: |
Table InputTable: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Jerome B. Libin", "1959", "1960", "Michigan (1959)", "none"], ["Heywood H. Davis", "1958", "1959", "Kansas (1958)", "none"], ["D. Lawrence Gunnels", "1961", "1962", "Wash U (1960)", "none"], ["Kenneth W. Dam", "1957", "1958", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | D. Lawrence Gunnels | 128 | Answer: |
Table InputTable: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Shelena", "2005", "1", "Jéromine Pasteur", "Casterman", ""], ["Valhardi", "1984–1986", "2", "Jacques Stoquart and André-Paul Duchâteau", "Dupuis", "Continuation of the series after Jijé and Eddy Paape"], ["Ikar", "1995–1997", "2", "Pier... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Team 1", "Agg.", "Team 2", "1st leg", "2nd leg"], ["Celta", "2–1", "Cartagena", "2–0", "0–1"], ["Real Madrid Castilla", "5–5 (3–4 p)", "Sabadell", "4–3", "1–2"], ["Fabril", "0–7", "Hércules", "0–3", "0–4"], ["Sevilla", "4–1", "Sant Andreu", "2–0", "2–1"], ["Algeciras", "2–10", "Real Madrid", "0–6",... | 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:... | Celta | 128 | Answer: |
Table InputTable: [["District", "Representative", "Party", "Home Town, County", "Term of Service"], ["23rd District", "Larry Wolpert", "Republican", "Hilliard, Franklin", ""], ["82nd District", "Stephen Reinhard", "Republican", "Bucyrus, Crawford", ""], ["4th District", "John R. Willamowski", "Republican", "Lima, Allen... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Model", "Volume", "Engine", "Fuel", "Power/Torque", "Years produced", "Produced"], ["735iL", "3.5L", "M62TUB35 V8", "Petrol", "174 kW (237 PS; 233 hp) / 345 N·m (254 lb·ft)", "1998–2001", ""], ["735iL", "3.5L", "M62B35 V8", "Petrol", "173 kW (235 PS; 232 hp) / 320 N·m (236 lb·ft)", "1994–1997", "69... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 750i-iL | 128 | Answer: |
Table InputTable: [["No.", "Year", "Name", "Held at", "Number of teams", "Winner", "Runners Up"], ["17", "2013", "Madanda Cup", "Balugodu", "225", "Anjaparavanda", "Palanganda"], ["8", "2004", "Maleyanda Cup", "Madapur", "235", "Koothanda", "Nellamakkada"], ["9", "2005", "Biddanda Cup", "Madikeri", "222", "Nellamakkada... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 225 | 128 | Answer: |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["Ze'ev Friedman", "Weightlifting", "Bantamweight <56 kg", "12", "J:102.5 C:102.5 S:125 T:330"], ["Eliezer Halfin", "Wrestling", "Freestyle — Lightweight <68 kg", "Group stage", "1W–2L"], ["Yehuda Weissenstein", "Fencing", "Men's foil", "Second ro... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["No.", "Date", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["2.", "April 4, 2011", "Chile F2", "Clay", "Sergio Galdós", "Guillermo Hormazábal\\n Rodrigo Pérez", "5–7, 7–6(5), [10–5]"], ["1.", "September 13, 2010", "Ecuador F2", "Hard", "Roberto Quiroz", "Peter Aarts\\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:... | less | 128 | Answer: |
Table InputTable: [["Place", "Code", "Area (km2)", "Population", "Most spoken language"], ["Moletji", "91107", "11.66", "4,989", "Northern Sotho"], ["Manthata", "91105", "12.24", "22,121", "Northern Sotho"], ["Sekhokho", "91109", "1.24", "1,852", "Northern Sotho"], ["Soekmekaar", "91110", "1.06", "217", "Northern Sotho... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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:... | 10-6 | 128 | Answer: |
Table InputTable: [["Name", "Title", "Date from", "Date until", "Russian state", "Austrian state"], ["Dmitry Mikhailovich Golitsyn", "Ambassador", "October 1761", "April 1792", "Russian Empire", "Holy Roman Empire"], ["Andrey Kirillovich Razumovsky", "Ambassador", "5 October 1801", "7 September 1806", "Russian Empire",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dmitry Mikhailovich Golitsyn | 128 | Answer: |
Table InputTable: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Murdered in Eastern Regions", "", "", "", "", "", "100,000", "100,000"], ["Deaths Outside of Prisons & Camps", "", "42,000", "71,000", "142,000", "218,000", "", "473,000"], ["Deaths other countries", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 100,000 | 128 | Answer: |
Table InputTable: [["Stage", "Date", "Route", "Terrain", "Length", "Winner", "Race leader"], ["8", "7 July", "Bayonne – Pau", "Plain stage", "106 km (66 mi)", "Charles Pélissier (FRA)", "Charles Pélissier (FRA)"], ["5", "4 July", "Vannes – Les Sables d'Olonne", "Plain stage", "202 km (126 mi)", "Charles Pélissier (FRA)... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Les Sables d'Olonne - Bordeaux | 128 | Answer: |
Table InputTable: [["Date", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["October 31, 2002", "Colorado Springs", "Colorado State", "31", "Air Force", "12", "AFA 23–17–1"], ["September 29, 1984", "Colorado Springs", "Air Force", "52", "Colorado State", "10", "AFA 14–8–1"], ["October ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 14 | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["7", "5", "Paul Tracy", "KV Racing Technology", "85", "+ 49.7020", "10", "0", "26"], ["18", "98", "Richard Antinucci", "Team 3G", "83", "+ 2 Laps", "19", "0", "12"], ["1", "9", "Scott Dixon", "Chip Ganassi Racing... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 26 | 128 | Answer: |
Table InputTable: [["Season", "Series", "Team", "Races", "Wins", "Poles", "F/Laps", "Podiums", "Points", "Position"], ["2009", "Asian Formula Renault Challenge", "Asia Racing Team", "12", "6", "2", "4", "7", "287", "2nd"], ["2012", "British Formula 3 Championship", "Angola Racing Team", "5", "0", "0", "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:... | 38 | 128 | Answer: |
Table InputTable: [["Naturalisations by origin", "2000", "2005", "2009", "% Total 2009"], ["Others", "8 882", "3 245", "4 962", "3.7"], ["Total", "150 026", "154 643", "135 842", "100"], ["Other Asia", "15 291", "16 501", "11 737", "8.6"], ["South-East Asia", "7 265", "4 069", "2 475", "1.8"], ["CIS", "1 181", "2 108",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | more | 128 | Answer: |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Amur Oblast", "Myriam Asfry", "Мыриам Асфры", "18", "1.75 m (5 ft 9 in)", "Blagoveshchensk"], ["Samara Oblast", "Nadia Gurina", "Надиа Гурина", "20", "1.78 m (5 ft 10 in)", "Samara"], ["Sakhalin Oblast", "Jeannette Menova", "Йеа... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["10", "Australia", "$1.2 billion", "2012", "4.1% (2011)"], ["9", "Russia", "$1.2 billion", "2012", "–"], ["4", "United Kingdom", "$1.7 billion", "2012", "36.1% (2011)"], ["12", "Brazil", "$0.72 billion", "2013", "17% (201... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | $1.2 billion | 128 | Answer: |
Table InputTable: [["Location", "Reactor type", "Status", "Net\\nCapacity\\n(MWe)", "Gross\\nCapacity\\n(MWe)"], ["Ignalina-2", "RBMK-1500", "shut down in 2009", "1,185", "1,300"], ["Ignalina-1", "RBMK-1500", "shut down in 2004", "1,185", "1,300"], ["Ignalina-4", "RBMK-1500", "plan cancelled in 1988", "1,380", "1,500"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Competition", "Venue", "Position", "Event"], ["1998", "World Cross Country Championships", "Marrakech, Morocco", "8th", "Short race"], ["2001", "IAAF Grand Prix Final", "Melbourne, Australia", "4th", "3000 m st."], ["", "Commonwealth Games", "Kuala Lumpur, Malaysia", "3rd", "3000 m st."], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Commonwealth Games | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["23", "Arno Visscher", "Aprilia", "+1:40.635", ""], ["24", "Henk Van De Lagemaat", "Honda", "+1 Lap", ""], ["16", "Luca Boscoscuro", "TSR-Honda", "+56.432", ""], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["15", "Jarno Janssen", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 39:45.365 | 128 | Answer: |
Table InputTable: [["Year", "Film", "Role", "Language", "Notes"], ["2010", "Gaana Bajaana", "Radhey", "Kannada", ""], ["2013", "Dilwala", "Preethi", "Kannada", ""], ["2013", "Bahaddoor", "Anjali", "Kannada", "Filming"], ["2012", "Alemari", "Neeli", "Kannada", ""], ["2012", "Sagar", "Kajal", "Kannada", ""], ["2012", "18... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2008 | 128 | Answer: |
Table InputTable: [["School Name", "Low grade", "High grade", "Students (K-12)", "FTE Teachers", "Student/teacher ratio"], ["Nouvel Catholic Central High School", "9", "12", "505", "37", "13.65"], ["Sheridan Road Christian School", "K", "12", "42", "5.9", "7.12"], ["Grace Christian School", "PK", "12", "117", "13", "9"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["October 22", "Ole Miss", "#8", "Bryant–Denny Stadium • Tuscaloosa, AL (Rivalry)", "ABC", "W 21–10", "70,123"], ["January 2, 1995", "vs. #13 Ohio State*", "#6", "Citrus Bowl • Orlando, FL (Florida Citrus Bowl)", "ABC", "W 24–17", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Date", "", "Rank", "Tournament name", "Venue", "City", "Winner", "Runner-up", "Score"], ["02–13", "02–22", "SCO", "WR", "International Open", "A.E.C.C.", "Aberdeen", "Stephen Hendry", "Tony Drago", "9–1"], ["10–16", "10–27", "ENG", "WR", "Grand Prix", "Bournemouth International Centre", "Bo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tony Drago | 128 | Answer: |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2013", "Mnet Pre-Grammy Awards", "Mnet Rising Star", "Herself", "Won"], ["2012", "So-Loved Awards", "Best Female Newcomer", "Herself", "Won"], ["2013", "15th Mnet Asian Music Awards", "Best Female Artist", "Herself", "Nominated"], ["2013", "15th... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2013 | 128 | Answer: |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2012", "So-Loved Awards", "Best Female Newcomer", "Herself", "Won"], ["2013", "27th Golden Disk Awards", "Best New Artist", "Herself", "Won"], ["2013", "5th MelOn Music Awards", "Top 10 Artists", "Herself", "Won"], ["2013", "15th Mnet Asian Musi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Conference", "# of Bids", "Record", "Win %", "Round\\nof 32", "Sweet\\nSixteen", "Elite\\nEight", "Final\\nFour", "Championship\\nGame"], ["Big East", "2", "5–2", ".714", "2", "2", "1", "–", "–"], ["Big Ten", "5", "9–5", ".643", "4", "2", "2", "1", "–"], ["West Coast", "2", "0–2", "–", "–", "–", "–... | 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:... | Big East | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "5.", "4 September 2012", "Mestre, Italy", "Clay", "Estrella Cabeza Candela", "6–1, 3–6, 6–1"], ["Winner", "3.", "7 June 2011", "Campobasso, Italy", "Clay", "Alizé Lim", "6–2, 6–4"], ["Winner", "4.", "20 June 2011", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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)]"], ["PG11", "18.6 (0.732)", "18", "0.05556 (1.4112)", "17.26 (0.680)", "5 to 10 (0.197 to 0.394)"], ["PG13.5", "20.4 (0.803)", "18", "0.05... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["", "Name on the Register", "Date listed", "Location", "City or town", "Summary"], ["35", "US Post Office-Dover Main", "July 17, 1986\\n(#86002273)", "133-137 Washington St.\\n43°11′42″N 70°52′39″W / 43.195°N 70.8775°W", "Dover", ""], ["7", "First Parish Church Site-Dover Point", "May 27, 1983\\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:... | 17 | 128 | Answer: |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["4", "September 27, 1998", "FOX 10:00 am MT", "at St. Louis Rams", "W 20–17", "55,832"], ["5", "October 4, 1998", "CBS 1:05 pm MT", "Oakland Raiders", "L 23–20", "53,240"], ["13", "November 29, 1998", "FOX 11:00 am MT", "at Kansas City... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chicago Bears | 128 | Answer: |
Table InputTable: [["Release date", "Album Title", "Record Company", "Song Title", "Certification"], ["April 2009", "OPM Number 1's", "Star Records", "\"Can't Hurry Love\"", "PARI:"], ["February 2011", "I Love You", "Star Records", "\"Catch Me I'm Falling\"", "PARI:"], ["January 2011", "OPM Number 1's Vol. 2", "Star Re... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hotsilog: The ASAP Hotdog Compilation | 128 | Answer: |
Table InputTable: [["Character", "Actor", "Series", "Notes"], ["Marcia Evans", "Janice Acquah", "Series 1", "A fellow junior trainee detective for the Cambridgeshire police force, who resigned after Kerry Cox's death."], ["Tom Adams", "John McGlynn", "Series 1", "An investigator with the Cambridgeshire police force, wh... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tom Adams | 128 | Answer: |
Table InputTable: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["1", "1", "Going Up!", "October 25, 1998", "101"], ["5", "5", "Hurricane Jules", "November 22, 1998", "105"], ["7", "7", "Front Page", "January 17, 1999", "107"], ["12", "12", "Bottom's Up", "March 7, 1999", "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:... | 13 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2009", "World Championships", "Berlin, Germany", "25th (qf)", "200 m", "20.97"], ["2009", "Asian Championships", "Guangzhou, China", "1st", "200 m", "21.07"], ["2011", "World Championships", "Daegu, South Korea", "48th (h)", "200 m", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pan Arab Games | 128 | Answer: |
Table InputTable: [["Game", "Day", "Date", "Kickoff", "Opponent", "Results\\nScore", "Results\\nRecord", "Location", "Attendance"], ["2", "Sunday", "November 17", "1:05pm", "Monterrey Flash", "L 6–10", "0–2", "UniSantos Park", "363"], ["1", "Sunday", "November 10", "3:05pm", "at Las Vegas Legends", "L 3–7", "0–1", "Orl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 1 | 128 | Answer: |
Table InputTable: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Patrick F. McCartan", "1959", "1960", "Notre Dame (1959)", "none"], ["Kenneth W. Dam", "1957", "1958", "Chicago (1957)", "none"], ["Jerome B. Libin", "1959", "1960", "Michigan (1959)", "none"], ["Heywood H. Davis", "1958", "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:... | Dam | 128 | Answer: |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Todor Yanchev", "0", "1", "1", "2"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Boris Galchev", "1", "0", "0", "1"], ["Pavel Vidanov", "0", "0", "1", "1"], ["Tomislav Kostadinov", "0", "0", "1", "1"], ["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: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["12", "106", "Nasir Jamshed", "Pakistan", "124", "1", "India", "3 January 2013", "Won"], ["6", "134*", "Graeme Smith", "South Africa", "124", "2", "India", "25 November 2005", "Won"], ["4", "121", "Marcus Tresco... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Player", "Nation", "Club", "Goals"], ["2", "Matthew Delicâte", "ENG", "Richmond Kickers", "10"], ["1", "Jhonny Arteaga", "COL", "FC New York", "13"], ["6", "Andriy Budnyy", "UKR", "Wilmington Hammerheads", "8"], ["3", "Luke Mulholland", "ENG", "Wilmington Hammerheads", "9"], ["9", "Chris Ba... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Luke Mulholland | 128 | Answer: |
Table InputTable: [["Match no.", "Match Type", "Team Europe", "Score", "Team USA", "Progressive Total"], ["30", "Baker", "Team Europe", "202 - 203", "Team USA", "15 - 15"], ["31", "Singles", "Tore Torgersen", "202 - 264", "Chris Barnes", "15 - 16"], ["28", "Singles", "Tore Torgersen", "206 - 275", "Doug Kent", "15 - 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:... | 5 | 128 | Answer: |
Table InputTable: [["Date", "Competition", "Location", "Country", "Event", "Placing", "Rider", "Nationality"], ["2 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Team sprint", "1", "Ross Edgar", "GBR"], ["1 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "500 m time trial", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 November 2009 | 128 | Answer: |
Table InputTable: [["Date", "Location", "Opponent", "Result", "Competition"], ["June 8, 2013", "Miami, United States", "Spain", "1–2", "F"], ["July 12, 2013", "Miami Gardens, United States", "Trinidad and Tobago", "2-0", "GC"], ["June 11, 2013", "Rio de Janeiro, Brazil", "Italy", "2–2", "F"], ["July 8, 2013", "Harrison... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Italy | 128 | Answer: |
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