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: [["Year", "Class", "No", "Tyres", "Car", "Team", "Co-Drivers", "Laps", "Pos.", "Class\\nPos."], ["1990", "C1", "6", "G", "Porsche 962C\\nPorsche Type-935 3.0L Turbo Flat-6", "Joest Porsche Racing", "Henri Pescarolo\\n Jean-Louis Ricci", "328", "14th", "14th"], ["1994", "GT2", "49", "P", "Porsche 911 C... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Code", "Area (km2)", "Population", "Most spoken language"], ["Dendron", "91103", "2.98", "1,885", "Northern Sotho"], ["Backer", "91101", "0.34", "1,217", "Northern Sotho"], ["Moletji", "91107", "11.66", "4,989", "Northern Sotho"], ["Manthata", "91105", "12.24", "22,121", "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:... | Backer | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "1.", "6 October 2003", "Bari, Italy", "Clay", "Bettina Pirker", "6–2, 7–5"], ["Winner", "5.", "4 September 2012", "Mestre, Italy", "Clay", "Estrella Cabeza Candela", "6–1, 3–6, 6–1"], ["Runner-up", "7.", "9 April... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Week", "Date", "Opponent", "Result", "Attendance"], ["5", "October 18, 1987", "Denver Broncos", "L 26–17", "20,296"], ["–", "September 27, 1987", "Minnesota Vikings", "canceled", ""], ["14", "December 19, 1987", "at Denver Broncos", "L 20–17", "75,053"], ["1", "September 13, 1987", "San Diego Charg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Minnesota Vikings | 128 | Answer: |
Table InputTable: [["Year", "Kit Manufacturer", "Shirt Sponsor", "Back of Shirt Sponsor", "Short Sponsor"], ["1977–1978", "", "National Express", "", ""], ["1982–1985", "Umbro", "", "", ""], ["2009–2011", "Errea", "Mira Showers", "PSU Technology Group", ""], ["1985–1986", "Umbro", "Whitbread", "", ""], ["1994–1995", "K... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | National Express | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["12", "November 22, 1981", "New Orleans Saints", "L 27–24", "49,581"], ["6", "October 11, 1981", "Seattle Seahawks", "W 35–17", "42,671"], ["8", "October 26, 1981", "at Pittsburgh Steelers", "L 26–13", "52,732"], ["1", "September 6, 1981", "at Lo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["26 November 1960", "Nottingham Forest", "A", "1-2", "22,121", "Brabrook"], ["19 September 1960", "Blackburn Rovers", "A", "1-3", "21,508", "Brabrook"], ["26 April 1961", "Sheffield Wednesday", "H", "0-2", "24,258", ""], ["24 December... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Lane", "Nation", "Swimmers", "Time", "Time behind", "Notes"], ["6", "3", "Germany", "Jens Schreiber (1:49.08)\\nHeiko Hell (1:49.15)\\nLars Conrad (1:48.23)\\nChristian Keller (1:50.05)", "7:16.51", "9.18", ""], ["", "7", "Italy", "Emiliano Brembilla (1:48.16)\\nMassimiliano Rosolino (1:46.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Greece | 128 | Answer: |
Table InputTable: [["Year", "Film", "Role", "Language", "Notes"], ["2012", "18th Cross", "Punya", "Kannada", ""], ["2013", "Dilwala", "Preethi", "Kannada", ""], ["2012", "Alemari", "Neeli", "Kannada", ""], ["2012", "Drama", "Nandini", "Kannada", ""], ["2013", "Kaddipudi", "Uma", "Kannada", ""], ["2012", "Addhuri", "Poo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Pair", "Name", "Country", "Time", "Time behind"], ["19", "17", "Denny Morrison", "Canada", "1:10.44", "+1.44"], ["29", "12", "Steven Elm", "Canada", "1:11.36", "+2.47"], ["11", "19", "Jeremy Wotherspoon", "Canada", "1:09.76", "+0.87"], ["16", "7", "François-Olivier Roberge", "Canada", "1:10... | 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:... | 4 | 128 | Answer: |
Table InputTable: [["Club performance\\nSeason\\nNorway", "Club performance\\nClub\\nNorway", "Club performance\\nLeague\\nNorway", "League\\nApps\\nLeague", "League\\nGoals\\nLeague", "Cup\\nApps\\nNorwegian Cup", "Cup\\nGoals\\nNorwegian Cup", "Total\\nApps\\nTotal", "Total\\nGoals\\nTotal"], ["Norway", "Norway", "No... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Premier League | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["14", "December 19, 1987", "at Denver Broncos", "L 20–17", "75,053"], ["5", "October 18, 1987", "Denver Broncos", "L 26–17", "20,296"], ["11", "November 26, 1987", "at Detroit Lions", "W 27–20", "43,820"], ["15", "December 27, 1987", "Seattle Sea... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | L 23-3 | 128 | Answer: |
Table InputTable: [["County", "Brown", "Votes", "Nixon", "Votes", "Wyckoff", "Votes"], ["Fresno", "57.78%", "68,187", "40.85%", "48,211", "1.37%", "1,615"], ["San Joaquin", "49.40%", "43,276", "49.25%", "43,147", "1.34%", "1,178"], ["Sacramento", "60.69%", "115,462", "37.74%", "71,788", "1.57%", "2,988"], ["Butte", "47... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 48,211 | 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"], ["1990/91", "3", "2ªB", "6th"], ["1995/96", "3", "2ªB", "19th"], ["1988/89", "4", "3ª", "3rd"], ["1994/95", "3", "2ªB", "9th"], ["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:... | 4th | 128 | Answer: |
Table InputTable: [["Tie no", "Home team", "Score", "Away team", "Date", "Attendance"], ["2", "Southampton", "1 – 1", "Millwall", "25 January 2003", "23,809"], ["Replay", "Millwall", "1 – 2", "Southampton", "5 February 2003", "10,197"], ["Replay", "Liverpool", "0 – 2", "Crystal Palace", "5 February 2003", "35,109"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 days | 128 | Answer: |
Table InputTable: [["District", "Incumbent", "Party", "First\\nelected", "Result", "Candidates"], ["Maryland 1", "Wayne Gilchrest", "Republican", "1990", "Re-elected", "Wayne Gilchrest (R) 76.67%\\nAnn Tamlyn (D) 23.16%"], ["Maryland 7", "Elijah Cummings", "Democratic", "1996", "Re-elected", "Elijah Cummings (D) 73.53%... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Premiers", "Score", "Runners Up", "Score"], ["2008", "Cairns Saints", "12.15 (87)", "North Cairns Tigers", "2.9 (21)"], ["2007", "Centrals Trinity Beach Bulldogs", "14.16 (100)", "Cairns Saints", "11.2 (68)"], ["2006", "Manunda Hawks", "11.11 (77)", "Centrals Trinity Beach Bulldogs", "10.9 ... | 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:... | Cairns Saints | 128 | Answer: |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7ZL", "Hobart", "0603", "AM", "Changed call to 7RN in 1991", "7RN", "National"], ["7CAE", "Hobart", "092.1", "FM", "Changed call to 7THE ca. 1980", "7THE", "Community"], ["7UV", "Ulverstone", "", "AM", "Moved 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:... | 4 | 128 | Answer: |
Table InputTable: [["Player", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Milicic", "2", "-", "-", "2"], ["Skoko", "-", "1", "-", "1"], ["Zdrilic", "1", "-", "-", "1"], ["Colosimo", "1", "-", "-", "1"], ["Viduka", "1", "-", "2", "3"], ["Elrich", "1", "-", "-", "1"], ["Bresciano", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Winner", "2.", "7 August 2011", "Vancouver, Canada", "Hard", "Karolína Plíšková", "Jamie Hampton\\n N. Lertcheewakarn", "5–7, 6–2, 6–4"], ["Winner", "4.", "30 January 2012", "Grenoble, France", "Hard (i)", "Karolí... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "County", "Tally", "Total", "Opposition"], ["3", "Gary Kirby", "Limerick", "1–7", "10", "Tipperary"], ["3", "Gary Kirby", "Limerick", "0–10", "10", "Tipperary"], ["6", "Gary Kirby", "Limerick", "0–9", "9", "Antrim"], ["9", "Paul Flynn", "Waterford", "1–5", "8", "Tipperary"], ["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:... | 1 | 128 | Answer: |
Table InputTable: [["Route", "Destinations", "Via", "Frequency\\n(minutes)", "Peak Hours Only", "Former"], ["12", "Kingston Centre\\nHighway 15", "Downtown\\nCFB Kingston (off-peak only)", "30", "", "-"], ["16", "Train Station\\nBus Terminal", "Kingston Centre", "30", "", "(formerly Route C)"], ["3", "Kingston Centre\\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Location", "Date established", "Area", "Description"], ["Yellowstone", "Wyoming, Montana, Idaho\\n44°36′N 110°30′W / 44.60°N 110.50°W", "March 1, 1872", "2,219,790.71 acres (8,983.2 km2)", "Situated on the Yellowstone Caldera, the first national park in the world has vast geothermal areas... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yellowstone | 128 | Answer: |
Table InputTable: [["Common name", "District", "Hebrew", "Arabic", "Population\\n(2009)", "Area\\n(km²)", "Mayor"], ["Lod", "Center", "לוד", "اللد", "69,800", "12.226", "Yair Revivo"], ["Jerusalem", "Jerusalem", "ירושלים", "أورشليم, القدس", "815,600", "125.156", "Nir Barkat"], ["El'ad", "Center", "אלעד", "أيلعاد", "36,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 112.93 | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Runner-up", "2.", "July 26, 1993", "Washington D.C., USA", "Hard", "Amos Mansdorf", "6–7(3–7), 5–7"], ["Runner-up", "3.", "August 2, 1993", "Montreal, Canada", "Hard", "Mikael Pernfors", "6–2, 2–6,... | 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:... | 5 | 128 | Answer: |
Table InputTable: [["#", "Name", "Hanzi", "Hanyu Pinyin", "Population (2003 est.)", "Area (km²)", "Density (/km²)"], ["4", "Xi'an District", "西安区", "Xī'ān Qū", "210,000", "325", "646"], ["9", "Dongning County", "东宁县", "Dōngníng Xiàn", "210,000", "7,368", "29"], ["2", "Dong'an District", "东安区", "Dōng'ān Qū", "180,000", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Linkou County | 128 | Answer: |
Table InputTable: [["Opus", "Title", "Subdivisions", "Compo-sition", "Première date", "Place, theatre"], ["17", "Walamund (libretto only, no music completed)", "3 acts", "1928", "", ""], ["16", "Wahnopfer", "3 acts", "1928", "1994", "Rudolstadt, Heidecksburg only libretto and Act 1 finished"], ["12a", "Das Liebesopfer... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sternengebot, Der Heidenkönig | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Winner", "5.", "12 November 2012", "Zawada, Poland", "Carpet (i)", "Karolína Plíšková", "Kristina Barrois\\n Sandra Klemenschits", "6–3, 6–1"], ["Winner", "6.", "28 October 2013", "Barnstaple, United Kingdom", "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: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Distrito Nacional", "Aimeé Elaine Melo Hernández", "23", "1.73", "Santo Domingo"], ["La Vega", "Catherine Mabel Ramírez Rosario", "21", "1.83", "Santiago de los Caballeros"], ["Santo Domingo", "Yisney Lina Lagrange Méndez", "19", "1.82", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Catherine Mabel Ramírez Rosario | 128 | Answer: |
Table InputTable: [["isn", "name", "arrival\\ndate", "departure\\ndate", "notes"], ["209", "Almasm Rabilavich Sharipov", "2002-01-21", "2004-02-27", "Repatriated to Russia on January 3, 2004.[citation needed]\\nReported to have been repatriated on 24 February 2004 with six other Russian men.\\nGranted asylum by the Net... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2006-11-17 | 128 | Answer: |
Table InputTable: [["Association", "Joining year", "Men's team", "Women's team", "League"], ["China PR", "2002", "China", "China", "Chinese Super League"], ["Korea DPR", "2002", "Korea DPR", "Korea DPR", "DPR Korea League"], ["Macau", "2002", "Macau", "Macau", "Campeonato da 1ª Divisão do Futebol"], ["Chinese Taipei", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "2008..", "[[]]", "[[]]", "-"], ["GL-B-4", "2008..", "[[]]", "[[]]", "-"], ["GL-B-5", "2008..", "[[]]", "[[]]", "-"], ["GL-B-6", "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:... | 6 | 128 | Answer: |
Table InputTable: [["Aircraft", "Origin", "Type", "In service", "Notes"], ["Cessna 421C Golden Eagle", "USA", "Light transport", "0", "1 in service with the Air Wing from 1988 to 2002"], ["Cessna 404 Titan", "USA", "Light transport", "0", "1 in service with the Air Wing from 1991 to 2008"], ["Aero Commander 500", "USA"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Partenvia P.68 Observer | 128 | Answer: |
Table InputTable: [["name", "glyph", "C string", "Unicode", "Unicode name"], ["c", "c", "c", "U+0063", "LATIN SMALL LETTER C"], ["C", "C", "C", "U+0043", "LATIN CAPITAL LETTER C"], ["one", "1", "1", "U+0031", "DIGIT ONE"], ["NUL", "", "\\\\0", "U+0000", "NULL (NUL)"], ["g", "g", "g", "U+0067", "LATIN SMALL LETTER 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:... | 9 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["7", "22", "John Surtees", "Surtees-Ford", "79", "+ 1 Lap", "10", ""], ["6", "24", "Rolf Stommelen", "Surtees-Ford", "79", "+ 1 Lap", "16", "1"], ["8", "27", "Henri Pescarolo", "March-Ford", "77", "+ 3 Laps", "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:... | Jackie Stewart | 128 | Answer: |
Table InputTable: [["Route", "Destinations", "Via", "Frequency\\n(minutes)", "Peak Hours Only", "Former"], ["4", "Princess Street", "Cataraqui Town Centre\\nDowntown", "30", "", ""], ["11", "Kingston Centre\\nCataraqui Town Centre", "Bath Road\\nGardiners Town Centre", "30", "", "(formerly Route 71)"], ["12", "Kingston... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Binary", "Octal", "Decimal", "Hexadecimal", "Glyph"], ["0011 1000", "070", "56", "38", "8"], ["0011 0000", "060", "48", "30", "0"], ["0011 0010", "062", "50", "32", "2"], ["0011 0100", "064", "52", "34", "4"], ["0011 0011", "063", "51", "33", "3"], ["0011 0111", "067", "55", "37", "7"], ["0011 0001... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Name", "Label", "Hot Black Singles", "Club Play Singles"], ["1983", "\"I Need You Now\"", "Jive", "―", "―"], ["1982", "\"Thanks to You\"", "Becket", "#44", "#1"], ["1982", "\"He's Gonna Take You Home\"", "Becket", "―", "―"], ["1987", "\"Send It C.O.D.\"", "New Image", "―", "―"], ["1984", "\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Thanks to You" | 128 | Answer: |
Table InputTable: [["Name", "Owner", "Location", "Notes", "Transmission", "Website"], ["Radio 24", "Il Sole 24 Ore", "Milan", "Commercial; News/Talk", "FM, DAB, DVB-S", "http://www.radio24.it"], ["Radio Monte Carlo", "Gruppo Finelco", "Milan", "Commercial; It is also called RMC", "FM, DVB-S", "http://www.radiomontecarl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rome | 128 | Answer: |
Table InputTable: [["Site", "Municipality", "Comments", "Coordinates", "Type", "Ref."], ["*Itsukushima\\n厳島\\nItsukushima", "Hatsukaichi", "also a Special Historic Site; Itsukushima Jinja is inscribed on the UNESCO World Heritage List", "34°16′16″N 132°18′22″E / 34.27116774°N 132.30612348°E", "8", "[3]"], ["Kikkawa 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:... | Fukuyama | 128 | Answer: |
Table InputTable: [["Chord", "Root", "Minor Third", "Perfect Fifth", "Major Seventh"], ["CmM7", "C", "E♭", "G", "B"], ["A♭mM7", "A♭", "C♭ (B)", "E♭", "G"], ["B♭mM7", "B♭", "D♭", "F", "A"], ["BmM7", "B", "D", "F♯", "A♯"], ["AmM7", "A", "C", "E", "G♯"], ["DmM7", "D", "F", "A", "C♯"], ["E♭mM7", "E♭", "G♭", "B♭", "D"], ["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:... | A♯ | 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"], ["9", "November 1, 1998", "FOX 11:00 am MT", "at Detroit Lions", "W 17–15", "66,087"], ["3", "September 20, 1998", "ESPN 5:15 pm MT", "Philadelphi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS R&B", "Peak chart positions\\nUS Rap", "Album"], ["\"Not Like Them\"\\n(featuring Styles P)", "2012", "—", "—", "—", "The Greatest Story Never Told Chapter 2: Bread and Circuses"], ["\"C'mon Baby\"\\n(featuring Swizz Beatz)", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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:... | Orion | 128 | Answer: |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-12", "13 July 1918", "12 November 1918", "6 November 1919", "Sold 30 December 1935"], ["PE-36", "22 January 1919", "22 March 1919", "20 August 1919", "Sold 27 February 1936"], ["PE-47", "3 March 1919", "19 June 1919", "4 October 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:... | 11 July 1918 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["21", "South Korea", "0", "0", "1", "1"], ["17", "Czechoslovakia", "0", "1", "0", "1"], ["1", "Soviet Union", "26", "17", "15", "58"], ["21", "Canada", "0", "0", "1", "1"], ["17", "Sweden", "0", "1", "0", "1"], ["21", "Madagascar", "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:... | 57 | 128 | Answer: |
Table InputTable: [["Olympics", "Athlete", "Judge (Official)", "Coach", "Language"], ["1972 Winter Olympics", "Keiichi Suzuki", "Fumio Asaki", "-", "Japanese"], ["1964 Summer Olympics", "Takashi Ono", "-", "-", "Japanese"], ["1948 Summer Olympics", "Donald Finlay", "-", "-", "English"], ["1988 Summer Olympics", "Hur Ja... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["7... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["4", "Parc des Princes", "48,712", "Paris", "Île-de-France", "Paris Saint-Germain FC", "1897"], ["12", "Stade de la Mosson", "32,939", "Montpellier", "Languedoc-Roussillon", "Montpellier HSC", "1972"], ["10", "Stadium Municipal",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Stade Sébastien Charléty | 128 | Answer: |
Table InputTable: [["Week", "Date", "Result", "Record", "Opponent", "Points For", "Points Against", "First Downs", "Attendance"], ["1", "September 18", "Win", "1–0", "at Minnesota Vikings", "16", "10", "16", "47,678"], ["12", "December 4", "Win", "10–2", "Philadelphia Eagles", "24", "14", "19", "60,289"], ["3", "Octobe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Aircraft", "Origin", "Type", "In service", "Notes"], ["Cessna 208 Caravan", "USA", "Light transport", "1", "in service since 2007"], ["Cessna 421C Golden Eagle", "USA", "Light transport", "0", "1 in service with the Air Wing from 1988 to 2002"], ["Cessna 404 Titan", "USA", "Light transport", "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:... | 3 | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Country", "Athletes", "Time", "Deficit"], ["7", "4", "South Korea", "Lee Seung-hoon\\nJoo Hyong-jun\\nKo Byung-wook", "3:47.18", "+5.75"], ["", "4", "United States", "Shani Davis\\nBrian Hansen\\nJonathan Kuck", "3:43.42", "+1.99"], ["4", "1", "Canada", "Denny Morrison\\nMathieu Gir... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3:43.42 | 128 | Answer: |
Table InputTable: [["No", "Driver", "Entrant", "Constructor", "Chassis", "Engine"], ["6", "Clemente Biondetti", "Scuderia Materassi", "Talbot", "Talbot 700", "1.5 L8"], ["?", "William Grover-Williams", "Automobiles Ettore Bugatti", "Bugatti", "Bugatti T35B", "2.3 L8"], ["30", "Guy Bouriat", "Automobiles Ettore Bugatti"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Clemente Biondetti | 128 | Answer: |
Table InputTable: [["Band", "Disc/Song", "Released", "Disc Description", "Disk Size", "Image"], ["Gary Numan", "Warriors", "1983", "Shaped like a Jet Fighter.", "7\"", ""], ["Gary Numan", "Berserker", "1984", "Shaped like Numan's head.", "7\"", ""], ["The Enemy", "You're not alone", "2007", "Square shaped. Has the sing... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Warriors | 128 | Answer: |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["6.", "Jordi Alba", "Valencia", "14.0", "2012"], ["7.", "Adriano", "Sevilla", "13.5", "2010"], ["1.", "Neymar", "Santos FC", "86.0", "2013"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["3.", "Alexis Sánchez", "Udinese... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jordi Alba | 128 | Answer: |
Table InputTable: [["Polling Firm", "Source", "Date Published", "N.Anastasiades", "G.Lillikas", "S.Malas", "Others"], ["Noverna", "[11]", "2 December 2012", "35.6%", "17.2%", "18.1%", "4.1%"], ["Noverna", "[3]", "23 September 2012", "35.02%", "15.81%", "17.78%", ""], ["Evresis", "[2]", "18 September 2012", "35.2%", "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:... | December 2012 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Rol", "Format", "Related Links"], ["2010", "Soy tu fan (México)", "Actor", "Serie", "https://www.youtube.com/watch?v=hnCb5GG0E2U"], ["2006", "La Vida Inmune", "Malhora", "Feature Film", "https://www.youtube.com/watch?v=PQt4RU3usnw"], ["2007", "La Zona", "Alejandro", "Feature Film",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["District", "Location", "Communities served"], ["Agape Christian Academy", "Burton Township, Ohio and Troy Township, Ohio", "Accepts applications prior to the start of each school year"], ["Hershey Montessori Farm School", "Huntsburg Township, Ohio", "parent-owned, and chartered by Ohio Department o... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Burton Township, Ohio and Troy Township, Ohio | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["9", "Uruguay", "0", "0", "1", "1"], ["1", "Brazil", "7", "5", "3", "15"], ["5", "Argentina", "1", "2", "5", "8"], ["4", "Chile", "2", "0", "2", "4"], ["7", "Ecuador", "0", "2", "2", "4"], ["2", "Venezuela", "3", "2", "8", "13"], ["9", "Nether... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Canada", "2009", "9", "4207", "In 2009 the Department of Fisheries and Oceans announced it would be purchasing 9 patrol vessels for the Canadian Coast Guard. The Hero-class patrol vessels began entering service in 2011."], ["Barbados", "2007", "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:... | 9 | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Engine", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["27", "15", "Takuma Sato", "Rahal Letterman Lanigan Racing", "Honda", "2", "Mechanical", "26", "0", "10"], ["14", "14", "Mike Conway", "A.J. Foyt Enterprises", "Honda", "84", "+ 1 lap", "14", "0", "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:... | 11 | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Name", "Position", "College"], ["3", "69", "Dez White", "WR", "Georgia Tech"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["7", "223", "James Cotton", "DE", "Ohio State"], ["6", "174", "Paul Edinger", "K", "Michigan State"], ["4", "125", "Reggie Austin", "DB", "Wake Forest... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dustin Lyman | 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"], ["2005", "Queensland", "", "Alice Springs", "Alkupitja", "Darwin"], ["2002", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alice Springs | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["158", "Andy Suhy", "Defense", "United States", "Detroit Red Wings", "Western Michigan University (NCAA)"], ["163", "David Shute", "Left Wing", "United States", "Pittsburgh Penguins", "Victoria Cougars (WHL)"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Paul Krake | 128 | Answer: |
Table InputTable: [["#", "Title", "Performer(s)", "Film", "Length"], ["14", "\"A Dream Is a Wish Your Heart Makes\"", "Disney Channel Stars", "Cinderella", "3:46"], ["6", "\"So This Is Love\"", "The Cheetah Girls", "Cinderella", "3:40"], ["7", "\"Kiss the Girl\"", "Colbie Caillat", "The Little Mermaid", "3:16"], ["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:... | The Little Mermaid, Enchanted | 128 | Answer: |
Table InputTable: [["Player", "League", "Cup", "Europa\\nLeague", "Total"], ["Spas Delev", "13", "7", "2", "22"], ["Stanislav Kostov", "1", "0", "0", "1"], ["Emil Gargorov", "2", "0", "0", "2"], ["Tomislav Kostadinov", "0", "0", "1", "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:... | Marquinhos | 128 | Answer: |
Table InputTable: [["Specifications", "Foundation", "Essentials", "Standard", "Datacenter"], ["Processor chip limit", "1", "2", "64", "64"], ["Windows Server Update Services", "No", "Yes", "Yes", "Yes"], ["Licensing model", "Per server", "Per server", "Per CPU pair + CAL", "Per CPU pair + CAL"], ["Memory limit", "32 GB... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Standard, Datacenter | 128 | Answer: |
Table InputTable: [["Season", "Team", "Record", "Head Coach", "Quarterback", "Leading Rusher", "Leading Receiver", "All-Pros", "Runner Up"], ["1977", "Dallas Cowboys†", "12–2", "Tom Landry*", "Roger Staubach*", "Tony Dorsett*", "Drew Pearson", "Harris, Herrera, Martin, Pearson", "Minnesota Vikings"], ["1970", "Dallas C... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Winner", "1.", "May 17, 1993", "Coral Springs, Florida, USA", "Clay", "David Wheaton", "6–3, 6–4"], ["Winner", "8.", "January 18, 1999", "Sydney, Australia", "Hard", "Àlex Corretja", "6–3, 7–6(7–5)... | 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:... | Coral Springs, Florida | 128 | Answer: |
Table InputTable: [["Season", "Winning Team", "Score", "Losing Team", "Score", "Location", "Stadium"], ["1998–99", "Denver Broncos (6)", "23", "New York Jets", "10", "Denver, Colorado", "Mile High Stadium"], ["1989–90", "Denver Broncos (4)", "37", "Cleveland Browns", "21", "Denver, Colorado", "Mile High Stadium"], ["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:... | 7 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Croatia", "0", "3", "3", "6"], ["7", "Algeria", "2", "0", "2", "4"], ["3", "Slovenia", "5", "4", "3", "12"], ["6", "Tunisia", "3", "0", "0", "3"], ["2", "Italy", "12", "8", "10", "30"], ["5", "Greece", "3", "4", "9", "16"], ["9", "Egypt"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Egypt | 128 | Answer: |
Table InputTable: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["1", "Dr Abdus Salam", "1961", "1967", "Imperial College", "Theoretical Physics", "Doctor of Philosophy (Ph.D)"], ["8", "Major General Raza Hussain", "2001", "2010", "Pakistan Army Corps of Electric... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Major General Raza Hussain | 128 | Answer: |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Joe Farias", "D", "San Antonio", "118"], ["Jose Menendez", "D", "San Antonio", "124"], ["Joe Straus", "R", "San Antonio", "121"], ["Trey Martinez Fischer", "D", "San Antonio", "116"], ["Roland Gutierrez", "D", "San Antonio", "119"], ["Mike ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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, 118 | 128 | Answer: |
Table InputTable: [["#", "Directed By", "Written By", "Original Air Date"], ["9", "Douglas Mackinnon", "Neil McKay", "November 23, 1997"], ["14", "Ken Horn", "Neil McKay", "January 25, 1998"], ["12", "Ken Horn", "David Humphries", "January 11, 1998"], ["8", "Douglas Mackinnon", "Neil McKay", "November 16, 1997"], ["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:... | February 22, 1998 (1998-02-22) | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Name", "Country", "Time", "Time behind"], ["9", "18", "Casey FitzRandolph", "United States", "1:09.59", "+0.70"], ["25", "10", "Janne Hänninen", "Finland", "1:10.83", "+1.94"], ["", "20", "Joey Cheek", "United States", "1:09.16", "+0.27"], ["5", "21", "Jan Bos", "Netherlands", "1:09... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | .32 | 128 | Answer: |
Table InputTable: [["Time", "Wind", "Auto", "Athlete", "Nationality", "Location of race", "Date"], ["20.6", "", "20.75", "Bobby Morrow", "United States", "Melbourne, Australia", "November 27, 1956"], ["20.5", "0.0", "", "Ray Norton", "United States", "Stanford, United States", "July 2, 1960"], ["20.6", "0.0", "", "Than... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1.3 | 128 | Answer: |
Table InputTable: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["1", "Lord High Steward", "vacant", "Justiciar", "Lord Steward"], ["7", "Lord High Constable", "vacant", "Earl Marshal", "Master of the Horse"], ["2", "Lord High Chancellor", "The Rt Hon Chris Grayling, MP", "", ""], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Rt Hon Chris Grayling, MP | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Name", "Nationality", "Time", "Notes"], ["2", "4", "David Smetanine", "France", "38.97", "Q"], ["7", "8", "Grant Patterson", "Australia", "55.49", ""], ["6", "2", "Ronystony Cordeiro da Silva", "Brazil", "44.22", ""], ["3", "3", "Kyunghyun Kim", "South Korea", "40.37", "Q"], ["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:... | Eskender Mustafaiev | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Record", "TV Time", "Attendance"], ["16", "December 30, 2001", "Indianapolis Colts", "W 42–17", "13–2", "CBS 12:00pm", "66,084"], ["2", "September 23, 2001", "at San Francisco 49ers", "W 30–26", "2–0", "FOX 3:15pm", "67,536"], ["3", "September 30, 2001", "Miami... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Stations", "Connections", "City/ Neighborhood", "Parking", "Date Opened"], ["North Hollywood", "Metro Red Line \\nMetro Local: 152, 154, 156, 162, 183, 224, 353, 656\\nLADOT Commuter Express: 549\\nCity of Santa Clarita Transit: 757", "North Hollywood", "951 Spaces", "October 29, 2005"], ["Warner ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Laurel Canyon | 128 | Answer: |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["8", "Germany", "$1.3 billion", "2012", "–"], ["9", "Russia", "$1.2 billion", "2012", "–"], ["7", "India", "$1.4 billion", "2012", "–"], ["6", "South Korea", "$1.47 billion", "2013", "59.7% (2013)"], ["5", "France", "$1.7... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Canada/United States | 128 | Answer: |
Table InputTable: [["Date introduced", "Class 1 (e.g. Motorbike)", "Class 2 (e.g. Car)", "Class 3 (e.g. Car with trailer)", "Class 4 (e.g. Van)", "Class 5 (e.g. HGV)"], ["1 January 2009", "£2.70", "£4.70", "£8.40", "£9.40", "£9.40"], ["1 January 2008", "£2.50", "£4.50", "£8.00", "£9.00", "£9.00"], ["9 December 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:... | 6.2 | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-B-1", "2008..", "[[]]", "[[]]", "-"], ["GL-B-6", "2008..", "[[]]", "[[]]", "-"], ["GL-B-4", "2008..", "[[]]", "[[]]", "-"], ["GL-B-2", "2008..", "[[]]", "[[]]", "-"], ["GL-B-5", "2008..", "[[]]", "[[]]", "-"], ["GL-B-3", "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:... | 1 | 128 | Answer: |
Table InputTable: [["Date", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["February 21", "Anderlecht", "UEFA Cup", "Round of 32", "Leg 2, Away", "Bordeaux", "Stade Chaban-Delmas, Bordeaux", "1-1"], ["August 30", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 2, Home", "Käerjeng", "Stade... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bordeaux | 128 | Answer: |
Table InputTable: [["Tour", "Official title", "Venue", "City", "Date\\nStart", "Date\\nFinish", "Prize money\\nUSD", "Report"], ["9", "Denmark Super Series", "Arena Fyn", "Odense", "October 23", "October 28", "200,000", "Report"], ["3", "All England Super Series", "National Indoor Arena", "Birmingham", "March 6", "Marc... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Denmark Super Series | 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:... | PG48 | 128 | Answer: |
Table InputTable: [["Period", "Live births per year", "Deaths per year", "Natural change per year", "CBR*", "CDR*", "NC*", "TFR*", "IMR*"], ["1950-1955", "139 000", "66 000", "74 000", "52.6", "24.8", "27.8", "6.86", "174"], ["1965-1970", "229 000", "105 000", "124 000", "56.2", "25.8", "30.4", "7.32", "164"], ["1960-1... | 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:... | 2005-2010 | 128 | Answer: |
Table InputTable: [["Year", "Record", "Finish", "Manager", "Playoffs"], ["1975", "88-56", "1st", "Roy Hartsfield", "League Champs"], ["1976", "77-68", "2nd", "Roy Hartsfield", "League Champs"], ["1977", "79-67", "2nd", "Dick Phillips", "Lost League Finals"], ["1984", "87-53", "1st", "Tommy Sandt", "Lost League Finals"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Roy Hartsfield | 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"], ["Valley Lutheran High School", "9", "12", "344", "21", "16.38"], ["Sheridan Road Christian School", "K", "12", "42", "5.9"... | 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:... | Nouvel Catholic Central High School | 128 | Answer: |
Table InputTable: [["DATE", "OPPONENT", "SCORE", "TOP SCORER (Total points)", "VENUE"], ["March 9", "SHELL", "65-58", "", "PHILSPORTS ARENA"], ["July 13", "TANDUAY", "104-98", "", "PHILSPORTS ARENA"], ["October 24", "BRGY.GINEBRA", "93-72", "", "PHILSPORTS ARENA"], ["June 15", "BRGY.GINEBRA", "111-98", "", "PHILSPORTS ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | October 24 | 128 | Answer: |
Table InputTable: [["Season", "Winning Team", "Score", "Losing Team", "Score", "Location", "Stadium"], ["1982–83", "Miami Dolphins (4)", "14", "New York Jets", "0", "Miami, Florida", "Miami Orange Bowl"], ["1973–74", "Miami Dolphins (3)", "27", "Oakland Raiders", "10", "Miami, Florida", "Miami Orange Bowl"], ["1985–86"... | 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:... | 7 | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["152", "Sergei Starikov", "Defense", "Soviet Union", "New Jersey Devils", "CSKA Moscow (USSR)"], ["163", "David Shute", "Left Wing", "United States", "Pittsburgh Penguins", "Victoria Cougars (WHL)"], ["153", "Mi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Center | 128 | Answer: |
Table InputTable: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["UGCA 86", "Im", "03h 59m 50.5s", "+67° 08′ 37″", "67 ± 4", "13.5"], ["UGCA 92", "Im", "04h 32m 04.9s", "+63° 36′ 49.0″", "-99 ± 5", "13.8"], ["UGCA 105", "Im", "05h 14m 15.3s", "+62° 34′ 48″", "111 ± 5", "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:... | 138.2 | 128 | Answer: |
Table InputTable: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["9 Oct 1920", "Millwall", "H", "3–1", "Devlin 2, Walker", "14,000"], ["19 Feb 1921", "Crystal Palace", "A", "0–2", "", "7,000"], ["16 Oct 1920", "Millwall", "A", "0–1", "", "20,000"], ["12 Feb 1921", "Crystal Palace", "H", "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:... | 5 | 128 | Answer: |
Table InputTable: [["Year", "Chassis", "Engine", "Start", "Finish", "Team"], ["2007", "Dallara", "Honda", "1", "3", "Team Penske"], ["2009", "Dallara", "Honda", "1", "1", "Team Penske"], ["2008", "Dallara", "Honda", "4", "4", "Team Penske"], ["2006", "Dallara", "Honda", "2", "25", "Team Penske"], ["2003", "Dallara", "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:... | 2001, 2002, 2003, 2007, 2009 | 128 | Answer: |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["1.", "Neymar", "Santos FC", "86.0", "2013"], ["3.", "Alexis Sánchez", "Udinese", "26+11(add ons)", "2011"], ["2.", "Cesc Fàbregas", "Arsenal", "29+5(variables)", "2011"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["7... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Neymar | 128 | Answer: |
Table InputTable: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Netherlands", "2001", "2", "4207", "In 2001 the Netherlands ordered two vessels to serve in the Dutch customs' service. Visarend commissioned in 2001, Zeearend in 2002. now operated by the Dutch Coast Guard"], ["Barbados", "2007", "3", "4207", "Built... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2001 | 128 | Answer: |
Table InputTable: [["#", "Name", "Took office", "Left office", "Party", "Governor", "Notes"], ["8", "Samuel Hall", "December 9, 1840", "December 6, 1843", "Whig", "Samuel Bigger", ""], ["14", "Oliver P. Morton", "January 14, 1861", "January 16, 1861", "Republican", "Henry Smith Lane", ""], ["27", "Frank J. Hall", "Janu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | David Hillis | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2002", "Asian Games", "Busan, South Korea", "2nd", "4x400 m relay", ""], ["2006", "World Cup", "Athens, Greece", "7th", "400 m", ""], ["2005", "Asian Championships", "Incheon, South Korea", "2nd", "4x400 m relay", ""], ["2006", "Asian ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2nd | 128 | Answer: |
Table InputTable: [["Chart Year", "Artist", "Album", "Song", "Billboard Hot 100", "Billboard Hot R&B/Hip Hop", ""], ["2013", "Jay Sean", "Forthcoming Album", "Mars f/ Rick Ross", "New Single", "", ""], ["2014", "August Alsina", "Forthcoming Album", "Benidiction f/ Rick Ross", "New Single", "", ""], ["2014", "Rick Ross ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Puff Daddy | 128 | Answer: |
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