context stringlengths 231 1.31k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 |
|---|---|---|---|---|
Table InputTable: [["Week", "Date", "Opponent", "Result", "Game site", "NFL Recap", "Attendance"], ["1", "September 8, 1986", "New York Giants", "W 31–28", "Texas Stadium", "[1]", "59,804"], ["4", "September 29, 1986", "at St. Louis Cardinals", "W 31–7", "Busch Memorial Stadium", "[4]", "49,077"], ["8", "October 26, 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:... | 10727 | Answer: | 128 |
Table InputTable: [["Fence", "Name", "Jockey", "Age", "Handicap (st-lb)", "Starting price", "Fate"], ["26", "Rondetto", "Jeff King", "9", "11-6", "100/8", "Fell"], ["09", "Groomsman", "Beltrán Osorio", "10", "10-13", "100/1", "Fell"], ["17", "Bold Biri", "Michael Scudamore", "9", "10-13", "100/1", "Fell"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jeff King | Answer: | 128 |
Table InputTable: [["State", "Membership", "Parliament", "Membership status", "Represented since", "Members"], ["Iceland", "Full", "Alþingi", "Sovereign state", "1952", "7"], ["Finland", "Full", "Eduskunta", "Sovereign state", "1955", "18"], ["Denmark", "Full", "The Folketing", "Sovereign state", "1952", "16"], ["Norwa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["District\\nbalance\\n[clarification needed]", "Area\\nkm2", "Area\\nsq mi", "Pop.\\n1998", "Pop.\\n2008", "Pop./km²\\n2008"], ["Saint Paul's", "11.4", "4.4", "908", "795", "69.7"], ["Blue Hill", "36.5", "14.1", "177", "153", "4.2"], ["Sandy Bay", "15.3", "5.9", "254", "205", "13.4"]] | 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:... | Half Tree Hollow | Answer: | 128 |
Table InputTable: [["Year", "Kit Manufacturer", "Shirt Sponsor", "Back of Shirt Sponsor", "Short Sponsor"], ["1996–1997", "UK", "Endsleigh Insurance", "", ""], ["1999–2004", "Errea", "Towergate Insurance", "", ""], ["1993–1994", "Club Sport", "Gulf Oil", "", ""], ["1977–1978", "", "National Express", "", ""], ["1994–19... | 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:... | 2008 | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Winner", "8.", "January 18, 1999", "Sydney, Australia", "Hard", "Àlex Corretja", "6–3, 7–6(7–5)"], ["Runner-up", "6.", "May 2, 1994", "Atlanta, Georgia, USA", "Clay", "Michael Chang", "7–6(7–4), 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:... | 0 | Answer: | 128 |
Table InputTable: [["Team 1", "Agg.", "Team 2", "1st leg", "2nd leg"], ["Tauro F.C.", "5 - 0", "América Managua", "5 - 0", "0 - 0"], ["CSD Municipal", "3 - 6", "Alianza F.C.", "2 - 5", "1 - 1"], ["L.D. Alajuelense", "11 - 1", "C.D. Plaza Amador", "4 - 1", "7 - 0"], ["Real C.D. España", "6 - 0", "Acros Real Verdes", "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:... | Tauro F.C. | Answer: | 128 |
Table InputTable: [["Rank", "Player Name", "No. of Titles", "Runner-up", "Final Appearances"], ["12", "Rodney Martin", "1", "0", "1"], ["17", "James Willstrop", "0", "1", "1"], ["17", "Lee Beachill", "0", "1", "1"], ["17", "Peter Marshall", "0", "1", "1"], ["9", "Thierry Lincou", "1", "1", "2"], ["14", "Chris Dittmar",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["5", "Doug Lamborn", "Re-election", "Hal Bidlack", "Doug Lamborn"], ["4", "Marilyn Musgrave", "Re-election", "Betsy Markey", "Marilyn Musgrave"], ["1", "Dian... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Model", "1991", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"], ["Škoda Fabia", "−", "−", "−", "−", "−", "823", "128,872", "250,978", "264,641", "260,988", "247,600", "236,698", "243,982", "232,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 823 | Answer: | 128 |
Table InputTable: [["Season", "Footballer", "Club", "Position", "Nationality"], ["2002-03", "Moeneeb Josephs", "Ajax Cape Town", "GK", "South Africa"], ["2004-05", "Sandile Ndlovu", "Dynamos", "FW", "South Africa"], ["2001-02", "Jabu Pule", "Kaizer Chiefs", "MF", "South Africa"], ["2012-13", "Itumeleng Khune", "Kaizer ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Year", "Title", "Rol", "Format", "Related Links"], ["2005", "Quinceañera", "", "Feature Film", ""], ["2006", "La Vida Inmune", "Malhora", "Feature Film", "https://www.youtube.com/watch?v=PQt4RU3usnw"], ["2007", "La Zona", "Alejandro", "Feature Film", "https://www.youtube.com/watch?v=W5SzXJe-NMk"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Jamaica", "2005", "3", "4207", "The three vessels which form the County-class are HMJS Surrey, HMJS Cornwall and HMJS Middlesex. They were built in the Netherlands, and the last vessel was delivered in December 2006."], ["Albania", "2007", "4", "4207... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4708 | Answer: | 128 |
Table InputTable: [["Model", "1991", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"], ["Škoda Felicia", "172,000", "210,000", "", "288,458", "261,127", "241,256", "148,028", "44,963", "−", "−", "−", "−", "−", "−", "−... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | below | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["8", "Germany", "19", "28", "31", "78"], ["10", "Japan", "17", "16", "20", "53"], ["1", "China", "63", "46", "32", "141"], ["9", "France", "18", "26", "30", "74"], ["5", "Australia", "26", "38", "36", "100"], ["2", "Great Britain", "35", "30",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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, Ukraine, Spain, Japan | Answer: | 128 |
Table InputTable: [["#", "Name", "Height", "Weight (lbs.)", "Position", "Class", "Hometown", "Previous Team(s)"], ["44", "Darnell Gant", "6'8\"", "215", "F", "Fr.", "Los Angeles, CA, U.S.", "Crenshaw HS"], ["21", "Artem Wallace", "6'8\"", "250", "C", "Jr.", "Toledo, WA, U.S.", "Toledo HS"], ["20", "Ryan Appleby", "6'3\... | 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:... | 2 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["1997", "World Indoor Championships", "Paris, France", "5th", "60 m hurdles"], ["2003", "World Athletics Final", "Monaco", "6th", "100 m hurdles"], ["2002", "Grand Prix Final", "Paris, France", "7th", "100 m hurdles"], ["1999", "World Indoor Cha... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["#", "Title", "Singer(s)", "Lyricist", "Length"], ["5", "\"O Janewale\"", "Lata Mangeshkar", "Hasrat Jaipuri", "2:20"], ["7", "\"Ramaiya Vastavaiya\"", "Mohammed Rafi, Lata Mangeshkar, Mukesh", "Shailendra", "6:10"], ["4", "\"Mudh Mudh Ke Na Dekh\"", "Lata Mangeshkar, Manna Dey", "Shailendra", "6:34... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Name", "Route number(s)", "Length (mi)", "Location", "Notes"], ["Mohawk Trail", "", "65", "Williamstown\\nto Orange", "The 65-mile (105 km) Mohawk Trail comprises the western section of Route 2, from the New York border east to Orange, and is regarded as one of the most scenic drives in the area."]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | East Boston Expressway | Answer: | 128 |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["2", "Winton", "Winton Motor Raceway", "Benalla, Victoria", "1-3 May", "Jonathon Webb"], ["6", "Supercheap Auto Bathurst 1000", "Mount Panorama Circuit", "Bathurst, New South Wales", "8-11 Oct", "Jonathon Webb"], ["5", "Queensland House & La... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Hand", "Auto", "Wind", "Athlete", "Nationality", "Birthdate", "Location", "Date"], ["", "10.95", "", "Karl Heinz Schröder", "Germany", "17.06.1939", "Hannover", "28.07.1979"], ["", "10.84", "1.8", "Erik Oostweegel", "Netherlands", "29.04.1960", "Tilburg", "10.06.2000"], ["", "10.26", "2.3", "Troy 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:... | France | Answer: | 128 |
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"], ["2003", "MCI", "D4500", "45", "39", "6041-6079", "Diesel", ""],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 103 | Answer: | 128 |
Table InputTable: [["Event", "Record", "Athlete", "Date", "Meet", "Place"], ["Marathon", "2:08:30 #", "Dionicio Cerón Pizarro", "2 April 1995", "London Marathon", "London, United Kingdom"], ["Marathon", "2:07:19 a", "Andrés Espinosa", "18 April 1994", "Boston Marathon", "Boston, United States"], ["4x100 m relay", "39.3... | 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:... | 100 m | Answer: | 128 |
Table InputTable: [["Pick #", "NFL Team", "Player", "Position", "College"], ["1", "Baltimore Colts (Lottery bonus pick)", "George Shaw", "Quarterback", "Oregon"], ["9", "Philadelphia Eagles", "Dick Bielski", "Fullback", "Maryland"], ["5", "Green Bay Packers", "Tom Bettis", "Guard", "Purdue"], ["6", "Pittsburgh Steelers... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | George Shaw | Answer: | 128 |
Table InputTable: [["Tablet", "Genealogy", "Narrative", "Colophon"], ["6", "Shem to Terah 11:10 - 26", "no narrative", "\"This is the account of Terah.\" 11:27"], ["11", "Descendants of Esau 36:10 to 37:1", "no narrative", "\"This is the account of Jacob.\" 37:2"], ["", "no genealogy", "37:2 to 50:26", "no colophon"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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, 8, 11 | Answer: | 128 |
Table InputTable: [["#", "Stadium", "Capacity", "City", "Region", "Home Team", "Opened"], ["4", "Parc des Princes", "48,712", "Paris", "Île-de-France", "Paris Saint-Germain FC", "1897"], ["27", "Stade Sébastien Charléty", "20,000", "Paris", "Île-de-France", "Paris FC", "1938"], ["3", "Grand Stade Lille Métropole", "50,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Félix Bollaert | Answer: | 128 |
Table InputTable: [["Name", "Topic", "Cost", "Target age", "Advertising"], ["LearnAlberta.ca", "Everything (mainly aimed at teachers)", "Free", "5-18", "No"], ["BrainPop", "Science, Social studies, English, Maths, Art & Music, Health, Technology", "from US$75/year", "4-17", "None"], ["Bitesize by the BBC", "Art & Desig... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
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:... | Aero Commander 500 | Answer: | 128 |
Table InputTable: [["Year", "Premiers", "Score", "Runners Up", "Score"], ["2008", "Cairns Saints", "12.15 (87)", "North Cairns Tigers", "2.9 (21)"], ["2012", "Cairns Saints", "17.6 (108)", "North Cairns Tigers", "11.12 (78)"], ["2010", "North Cairns Tigers", "8.10 (58)", "Port Douglas Crocs", "8.5 (53)"], ["2007", "Cen... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Cairns Tigers | Answer: | 128 |
Table InputTable: [["Rank", "Mountain Peak", "Nation", "Province", "Elevation", "Prominence", "Isolation"], ["6", "Alto Cuchumatanes PB", "Guatemala", "Huehuetenango", "3837 m\\n12,589 ft", "1877 m\\n6,158 ft", "65 km\\n40 mi"], ["8", "Montañas Peña Blanca High Point PB", "Guatemala", "Huehuetenango", "3518 m\\n11,542 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Volcán Acatenango PB | Answer: | 128 |
Table InputTable: [["Year", "Model", "Denomination", "Metal composition", "Dimensions"], ["1992", "Re-establishment of kroon, 28 August 1992", "100 krooni", ".900 silver", "23 grams (0.81 oz)36 millimetres (1.4 in)"], ["1998", "80th anniversary of declaration of Independence, 1918–1998", "100 krooni", ".925 silver", "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:... | .900 silver | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Netherlands", "8", "3", "1", "12"], ["7", "Russia", "–", "1", "1", "2"], ["4", "Hungary", "1", "1", "3", "5"], ["6", "Italy", "–", "2", "1", "3"], ["8", "China", "–", "–", "1", "1"], ["2", "Australia", "3", "3", "4", "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:... | Australia | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "2.", "18 October 2010", "Seville, Spain", "Clay", "Andrea Gámiz", "6–0, 6–1"], ["Runner-up", "9.", "11 October 2010", "Settimo San Pietro, Italy", "Clay", "Anastasia Grymalska", "4–6, 6–2, 7–5"], ["Runner-up", "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:... | Clay | Answer: | 128 |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2009", "Queensland", "", "Alkupitja", "Tangentyere", "New South Wales"], ["2012", "Queensland", "New South Wales", "", "", ""], ["2008", "Queensland", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | State/Territory Women's Division | Answer: | 128 |
Table InputTable: [["Season", "Level", "Division", "Place"], ["1950–97", "", "Regional", "—"], ["2003/04", "5", "Reg. Pref.", "6th"], ["2006/07", "4", "3ª", "8th"], ["1999/00", "7", "2ª Reg.", "11th"], ["2004/05", "5", "Reg. Pref.", "11th"], ["2007/08", "4", "3ª", "5th"], ["2011/12", "4", "3ª", "10th"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Chord", "Root", "Minor Third", "Perfect Fifth", "Major Seventh"], ["AmM7", "A", "C", "E", "G♯"], ["G♯mM7", "G♯", "B", "D♯", "F (G)"], ["C♯mM7", "C♯", "E", "G♯", "B♯ (C)"], ["A♯mM7", "A♯", "C♯", "E♯ (F)", "G (A)"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | CmM7 | Answer: | 128 |
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:... | no | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Results\\nFinal score", "Results\\nTeam record", "Venue", "Attendance"], ["1", "September 18", "Washington Redskins", "L 24–21", "0–1", "Metropolitan Stadium", "47,900"], ["9", "November 12", "Detroit Lions", "W 16–14", "5–4", "Metropolitan Stadium", "49,784"], ["8", "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:... | 3 | Answer: | 128 |
Table InputTable: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Ivan Demidov\\n39.the TV presenter", "Barracudas", "Pelicans", "Crocodiles", "Eliminated\\n2nd Jury Member\\nDay 23", "3"], ["Larisa Verbitskaya\\n43.the TV presenter", "Barracudas", "Pelicans", "Crocodiles... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Chord", "Root", "Minor Third", "Perfect Fifth", "Major Seventh"], ["BmM7", "B", "D", "F♯", "A♯"], ["A♯mM7", "A♯", "C♯", "E♯ (F)", "G (A)"], ["F♯mM7", "F♯", "A", "C♯", "E♯ (F)"], ["DmM7", "D", "F", "A", "C♯"], ["D♯mM7", "D♯", "F♯", "A♯", "C (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:... | 2 | Answer: | 128 |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["2012", "28 Jan 2012", "St. Moritz, Switzerland", "Downhill", "3rd"], ["2012", "26 Feb 2012", "Bansko, Bulgaria", "Super-G", "2nd"], ["2012", "4 Feb 2012", "Garmisch, Germany", "Downhill", "3rd"], ["2012", "5 Feb 2012", "Garmisch, Germany", "Sup... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bansko, Bulgaria | Answer: | 128 |
Table InputTable: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["3", "Air Commodore K. M. Ahmad", "1979", "1980", "Pakistan Air Force Academy", "Flight Instructor", "Certificated Flight Instructor (CFI)"], ["8", "Major General Raza Hussain", "2001", "2010", "Pak... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Air Commodore K. M. Ahmad, Dr M. Shafi Ahmad | Answer: | 128 |
Table InputTable: [["Year", "Title", "Chart positions\\nAU", "Chart positions\\nCA", "Chart positions\\nIE", "Chart positions\\nNL", "Chart positions\\nNZ", "Chart positions\\nUK", "Chart positions\\nUS\\nHot 100", "Chart positions\\nUS\\nAirplay", "Chart positions\\nUS\\nAlternative"], ["1995", "\"Hand in My Pocket\""... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Engine", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["20", "20", "Ed Carpenter", "Ed Carpenter Racing", "Chevrolet", "84", "+ 1 lap", "25", "0", "12"], ["21", "83", "Charlie Kimball", "Chip Ganassi Racing", "Honda", "82", "+ 3 laps", "21", "0", "12"], ["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:... | 84 | Answer: | 128 |
Table InputTable: [["Name", "Date time (UT)", "Local time zone", "Location", "Elevation + height", "Delivery", "Purpose", "Yield", "Venting", "Notes"], ["Diamond Sculls", "20 July 1972 17:00:16.16", "PST (-8 hrs)", "NTS Area U12t.02 37°12′52″N 116°11′02″W / 37.21439°N 116.18382°W", "2,113 m (6,932 ft) - 419.4 m (1,37... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Diamond Sculls | Answer: | 128 |
Table InputTable: [["Year", "Model", "Denomination", "Metal composition", "Dimensions"], ["1992", "Re-establishment of Krooni currency", "10 krooni", ".925 silver", "25 grams (0.88 oz)38 millimetres (1.5 in)"], ["1992", "Re-establishment of kroon, 28 August 1992", "100 krooni", ".900 silver", "23 grams (0.81 oz)36 mill... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Re-establishment of Krooni currency | Answer: | 128 |
Table InputTable: [["Title", "Year", "Authors", "Publisher", "Pages"], ["Global Turf Wars: Re-Inventing the Telecoms Operator for the Age of Global Competition", "1999", "Tim Hills, David Cleevely, Andrea Smith", "Analysis Publications", "218"], ["Rural Telecoms Handbook: Equipment and Manufacturers", "1992", "Tim Hill... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Wrestler:", "Times:", "Date:", "Location:", "Notes:"], ["Hideyoshi", "1", "July 26, 2008", "Osaka, Japan", ""], ["Daisuke Harada", "1", "February 26, 2012", "Osaka, Japan", ""], ["Black Buffalo", "1", "March 25, 2012", "Osaka, Japan", ""], ["CIMA", "1", "June 18, 2010", "Osaka, Japan", ""], ["Daisu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Character", "Real name", "Home world", "Membership notes", "Powers"], ["Harmonia", "Harmonia Li", "Earth", "First appeared in Legion of Super-Heroes vol. 6, #1 (July 2010).\\nJoined between Legion of Super-Heroes vol. 6, #16 (October 2011) and Legion of Super-Heroes vol. 7, #1 (November 2011).", "E... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | Answer: | 128 |
Table InputTable: [["Character", "Real name", "Home world", "Membership notes", "Powers"], ["Gates", "Ti'julk Mr'asz", "Vyrga", "First appeared in Legion of Super-Heroes vol. 4, #66 (March 1995).\\nJoined the Earth-247 team in Legion of Super-Heroes vol. 4, #76 (January 1996).\\nJoined the post-Infinite Crisis team in ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Title", "Year", "Authors", "Publisher", "Pages"], ["The Route to Advanced Communications", "1991", "David Cleevely, Stefan Stanislawski, Ade Ajibulu", "Analysys Publications", "178"], ["Global Turf Wars: Re-Inventing the Telecoms Operator for the Age of Global Competition", "1999", "Tim Hills, Davi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Regional Structure and Telecommunications Demand: A Case Study of Kenya (Ph.D. thesis) | Answer: | 128 |
Table InputTable: [["Position", "Sail Number", "Yacht", "State/Country", "Yacht Type", "LOA\\n(Metres)", "Skipper", "Elapsed Time\\nd:hh:mm:ss"], ["4", "AUS70", "Ragamuffin", "NSW", "Farr 50", "15.15", "Syd Fischer", "3:06:11:29"], ["7", "6606", "Quest", "NSW", "Nelson Marek 46", "14.12", "Bob Steel", "3:14:41:28"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["2014", "29 Nov 2013", "Beaver Creek, USA", "Downhill", "2nd"], ["2014", "1 Dec 2013", "Beaver Creek, USA", "Giant slalom", "3rd"], ["2012", "2 Dec 2011", "Lake Louise, Canada", "Downhill", "2nd"], ["2014", "7 Dec 2013", "Lake Louise, Canada", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Garmisch, Germany | Answer: | 128 |
Table InputTable: [["Pick #", "NFL Team", "Player", "Position", "College"], ["1", "Baltimore Colts (Lottery bonus pick)", "George Shaw", "Quarterback", "Oregon"], ["5", "Green Bay Packers", "Tom Bettis", "Guard", "Purdue"], ["9", "Philadelphia Eagles", "Dick Bielski", "Fullback", "Maryland"], ["3", "Baltimore Colts", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Halfback | Answer: | 128 |
Table InputTable: [["Character", "Real name", "Home world", "Membership notes", "Powers"], ["Chameleon Girl", "Yera Allon", "Durla", "Pre-Crisis version first appeared (impersonating Shrinking Violet) in Legion of Super-Heroes vol. 2, #286 (April 1982).\\nTrue form and identity revealed in Legion of Super-Heroes vol. 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:... | 2 | Answer: | 128 |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["4 October", "Tashkent (N)", "India", "5–2", "AFC U-16 Championship (Group B)"], ["15 October", "Tashkent (N)", "Japan", "2–1", "AFC U-16 Championship (Semifinal)"], ["18 October", "Tashkent (N)", "Iran", "1–2", "AFC U-16 Championship (Final)"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Olga Orlova\\n25.the singer", "Barracudas", "Baracudas", "Crocodiles", "Eliminated\\n9th Jury Member\\nDay 38", "10"], ["Marina Aleksandrova\\n20.the actress", "Barracudas", "Pelicans", "Crocodiles", "9th V... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["No.", "Date", "Tournament", "Winning score", "Margin of\\nvictory", "Runner(s)-up"], ["2", "10 Aug 2003", "Sun Chlorella Classic", "−8 (71-73-68-68=280)", "1 stroke", "Daisuke Maruyama, Taichi Teshima"], ["12", "29 Jul 2012", "Sun Chlorella Classic", "−15 (69-66-68-70=273)", "2 strokes", "Lee Seong... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Philip Morris K.K. Championship | Answer: | 128 |
Table InputTable: [["Season", "Episodes", "Time slot (EST)", "Original airing\\nSeason premiere", "Original airing\\nSeason finale", "Original airing\\nTV season", "Rank", "Viewers\\n(in millions)"], ["10", "23", "Thursday 9pm/8c", "September 24, 2009", "May 20, 2010", "2009–2010", "#12", "14.92"], ["1", "23", "Friday ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 23 | Answer: | 128 |
Table InputTable: [["No. in\\nseries", "No. in\\nseason", "Title", "Directed by", "Written by", "Original air date", "Prod.\\ncode"], ["2", "3", "\"Carry Me Back to Old Tsing-Tao\"", "Mark Rydell", "David Karp", "September 29, 1965", "103"], ["11", "10", "\"Tatia\"", "David Friedkin", "Robert Lewin", "November 17, 1965... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Robert Lewin | Answer: | 128 |
Table InputTable: [["Contestant", "Original\\nTribe", "First\\nSwitch", "Second\\nSwitch", "Merged\\nTribe", "Finish", "Ghost\\nIsland", "Total\\nVotes"], ["Ana Stojanovska\\n21, Skopje, Macedonia", "Manobo", "Manobo", "Manobo", "", "8th Voted Out\\nDay 28", "9th Eliminated\\nDay 30", "3"], ["Branka Čudanov\\n28, Kikin... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 28 days | Answer: | 128 |
Table InputTable: [["Year", "Song", "Album", "Position", "Chart"], ["1989", "\"Sunshine\"", "24/7", "23", "Billboard Hot 100"], ["1993", "\"Endlessly\"", "The Way I Am", "--", "Billboard Hot 100"], ["1991", "\"Gentle\"", "Swingin'", "31", "Billboard Hot 100"], ["1989", "\"24/7\"", "24/7", "42", "Billboard Hot 100"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 24/7 | Answer: | 128 |
Table InputTable: [["Player", "No.", "Nationality", "Position", "Years for Jazz", "School/Club Team"], ["Terry Furlow", "25", "United States", "Guard/Forward", "1979-80", "Michigan State"], ["Bernie Fryer", "25", "United States", "Guard", "1975-76", "BYU"], ["Derrick Favors", "15", "United States", "Forward", "2011-pre... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bernie Fryer | Answer: | 128 |
Table InputTable: [["Rank", "Island", "Area\\n(km²)", "Area\\n(sq mi)", "Country/Countries/Region"], ["273", "Graciosa Island", "62", "24", "Portugal"], ["213", "Santa Maria Island", "97", "37", "Portugal"], ["295", "San Pietro Island", "51", "20", "Italy"], ["243", "Ytre Vikna (outer island of Vikna archipelago)", "83... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mljet | Answer: | 128 |
Table InputTable: [["County", "Brown", "Votes", "Nixon", "Votes", "Wyckoff", "Votes"], ["Nevada", "51.02%", "4,818", "47.12%", "4,450", "1.85%", "175"], ["Sacramento", "60.69%", "115,462", "37.74%", "71,788", "1.57%", "2,988"], ["Napa", "53.50%", "14,748", "44.72%", "12,326", "1.78%", "490"]] | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["25.", "12722", "Dakshin Express", "16:00", "16:02", "Daily"], ["1.", "18238", "Chhatisgarh Express", "01:23", "01:25", "Daily"], ["34.", "51152", "Narkhed-New Amravati Pass", "N/a", "18:00", "Daily"], ["29.", "51830", "Ag... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Nagpur-Indore Tri. Exp | Answer: | 128 |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["4", "United Kingdom", "$1.7 billion", "2012", "36.1% (2011)"], ["2", "China", "$3.6 billion", "2013", "59% (2013)"], ["9", "Russia", "$1.2 billion", "2012", "–"], ["5", "France", "$1.7 billion", "2012", "33.3% (2013)"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Type", "Construction period", "Cylinder", "Capacity", "Power", "Vmax"], ["Greif V8 Sport", "1935–1937", "V8", "2.489 cc", "57 PS (42 kW)", "120 km/h (75 mph)"], ["Greif V8", "1934–1937", "V8", "2.489 cc", "55 PS (40 kW)", "110 km/h (68 mph)"], ["8 Typ G 14 (14/70 PS)", "1928", "straight-8", "3.633 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 31 | Answer: | 128 |
Table InputTable: [["Week", "Date", "Result", "Record", "Opponent", "Points For", "Points Against", "First Downs", "Attendance"], ["12", "December 4", "Win", "10–2", "Philadelphia Eagles", "24", "14", "19", "60,289"], ["11", "November 27", "Win", "9–2", "at Washington Redskins", "14", "7", "19", "55,031"], ["14", "Dece... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 weeks | Answer: | 128 |
Table InputTable: [["#", "Title", "Time", "Lyrics", "Music", "Producer(s)", "Performer(s)"], ["3", "\"Out Here\"", "3:18", "Boondox", "Mike E. Clark\\nTino Grosse", "Boondox", "Boondox"], ["12", "\"Red Mist\"", "3:54", "Boondox", "Mike E. Clark", "Boondox", "Boondox\\nBlaze Ya Dead Homie\\nTwiztid"], ["8", "\"Rollin 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:... | 10 | Answer: | 128 |
Table InputTable: [["Series", "Premiere", "Finale", "Winner", "Runner-up", "Third place", "Host(s)", "Judging panel", "Guest judge(s)"], ["Four", "17 April 2010", "5 June 2010", "Spelbound", "Twist and Pulse", "Kieran Gaffney", "Ant & Dec", "Simon Cowell\\nAmanda Holden\\nPiers Morgan", "Louis Walsh"], ["One", "9 June ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Five | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["1", "32", "Patrick Carpentier", "Team Player's", "87", "1:48:11.023", "1", "22"], ["3", "3", "Paul Tracy", "Team Player's", "87", "+28.6 secs", "3", "14"], ["4", "9", "Michel Jourdain, Jr.", "Team Rahal", "87", "+40.8 secs",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Team Player's | Answer: | 128 |
Table InputTable: [["Year", "Recipient", "Nationality", "Profession", "Speech"], ["1997", "Elie Wiesel", "United States", "Professional writer\\nWinner of the Nobel Peace Prize (1986)", ""], ["2005", "William Safire", "United States", "Author, journalist and speechwriter\\n1978 Pulitzer Prize winner", ""], ["2001", "Cy... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Sixtieth Street", "1", "Philadelphia County", "19139", ""], ["Six Points", "1", "Butler County", "16049", ""], ["Schuylkill", "1", "Philadelphia County", "19146", ""], ["Simmonstown", "1", "Lancaster Co... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "South Korea (KOR)", "3", "2", "1", "6"], ["12", "North Korea (PRK)", "1", "0", "0", "1"], ["6", "Japan (JPN)", "2", "13", "8", "23"], ["11", "Kyrgyzstan (KGZ)", "1", "1", "0", "2"], ["12", "Kuwait (KUW)", "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:... | 6 | Answer: | 128 |
Table InputTable: [["Hull", "Type", "Original Name", "Original Operator", "Delivery", "Disposition (2012)", "2nd name", "2nd operator", "3rd Name", "3rd operator"], ["№ 4", "929-117", "Princess Dacil", "Trasmediterranea", "Mar 1990", "Active", "Pegasus", "Kyusyu Shosen Co. Ltd.", "", ""], ["№ 11", "929-117", "Princess ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Trasmediterranea | Answer: | 128 |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Danny Coles", "3", "0", "0", "0", "3"], ["Scot Bennett", "5", "0", "0", "0", "5"], ["Jamie Cureton", "20", "0", "0", "0", "20"], ["OWN GOALS", "0", "0", "0", "0", "0"], ["Jimmy Keohane", "3", "0", "0", "0", "3"], ["Liam Sercombe", "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 | Answer: | 128 |
Table InputTable: [["Representative", "Years", "State", "Party", "Lifespan"], ["Charles A. Kading", "1927–1933", "Wisconsin", "Republican", "1874–1956"], ["David S. Kaufman", "1846–1851", "Texas", "Democratic", "1813–1851"], ["Florence Prag Kahn", "1925–1936", "California", "Republican", "1866–1948"], ["Martin Kalbflei... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kading | Answer: | 128 |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["20 March", "Fukuoka (A)", "Japan", "2–0", "Sanix Cup"], ["20 March", "Fukuoka (A)", "China PR", "1–0", "Sanix Cup"], ["18 October", "Tashkent (N)", "Iran", "1–2", "AFC U-16 Championship (Final)"], ["15 October", "Tashkent (N)", "Japan", "2–1",... | 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:... | Japan | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["13", "19", "Joël Camathias", "Dale Coyne Racing", "85", "+ 2 Laps", "18", "0"], ["11", "27", "Bryan Herta", "PK Racing", "86", "+ 1 Lap", "12", "2"], ["16", "11", "Geoff Boss", "Dale Coyne Racing", "83", "Mechanical", "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:... | 12 | Answer: | 128 |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2003", "Shandong Luneng", "China", "1", "4", "0"], ["2004", "Shandong Luneng", "China", "1", "0", "0"], ["2005", "Shandong Luneng", "China", "1", "0", "0"], ["2013", "Jiangsu Sainty", "China", "1", "11", "0"], ["2006", "Chengdu Wuniu", "Ch... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2013", "European Indoor Championships", "Gothenburg, Sweden", "5th", "5.71 m"], ["2014", "World Indoor Championships", "Sopot, Poland", "3rd", "5.80 m"], ["2012", "Olympic Games", "London, United Kingdom", "8th", "5.65 m"], ["2012", "European 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:... | Sopot, Poland | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Results\\nFinal score", "Results\\nTeam record", "Venue", "Attendance"], ["3", "October 1", "Miami Dolphins", "L 16–14", "1–2", "Metropolitan Stadium", "47,900"], ["4", "October 8", "St. Louis Cardinals", "L 19–17", "1–3", "Metropolitan Stadium", "49,687"], ["1", "Septem... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 47,900 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2005", "European U23 Championships", "Erfurt, Germany", "7th", "5.50 m"], ["2005", "Universiade", "Izmir, Turkey", "5th", "5.50 m"], ["2006", "European Championships", "Gothenburg, Sweden", "5th", "5.65 m"], ["2012", "European Championships", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Time", "Wind", "Auto", "Athlete", "Nationality", "Location of race", "Date"], ["20.5", "0.0", "20.75", "Stone Johnson", "United States", "Stanford, United States", "July 2, 1960"], ["20.6", "", "20.75", "Bobby Morrow", "United States", "Melbourne, Australia", "November 27, 1956"], ["20.5", "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:... | Donald Quarrie | Answer: | 128 |
Table InputTable: [["Tournament", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "W–L"], ["Australian Open", "1R", "1R", "A", "2R", "1R", "3R", "2R", "1R", "4–7"], ["French Open", "Q1", "Q1", "A", "2R", "Q1", "1R", "1R", "", "1–3"], ["US Open", "Q3", "Q2", "Q3", "1R", "1R", "1R", "1R", "", "0–4"]] | 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:... | 29 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2012", "European Championships", "Helsinki, Finland", "–", "NM"], ["1999", "World Youth Championships", "Bydgoszcz, Poland", "13th (q)", "4.60 m"], ["2001", "European Junior Championships", "Grosseto, Italy", "7th", "5.15 m"], ["2006", "Europea... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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, 2006 | Answer: | 128 |
Table InputTable: [["Model", "1991", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"], ["Total", "172,000", "210,000", "261,000", "336,334", "363,500", "385,330", "435,403", "460,252", "445,525", "449,758", "451,675",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 172,000 | Answer: | 128 |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["1973", "Borussia Mönchengladbach", "PFC CSKA Sofia", "Real Zaragoza", "West Ham"], ["1979", "Real Zaragoza", "NK Dinamo Zagreb", "Vasas SC", "FK Sarajevo"], ["1982", "Manchester United F.C.", "Real Zaragoza", "MTK Hungária FC", "Budapest Honvéd ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Real Zaragoza | Answer: | 128 |
Table InputTable: [["#", "Player", "Goals", "Caps", "Career"], ["1", "Landon Donovan", "57", "155", "2000–present"], ["8", "Eddie Johnson", "19", "62", "2004–present"], ["2", "Clint Dempsey", "36", "103", "2004–present"], ["9T", "DaMarcus Beasley", "17", "114", "2001–present"], ["6T", "Jozy Altidore", "21", "67", "2007... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Binary", "Octal", "Decimal", "Hexadecimal", "Glyph"], ["0011 0100", "064", "52", "34", "4"], ["0011 0000", "060", "48", "30", "0"], ["0011 1000", "070", "56", "38", "8"], ["0011 0001", "061", "49", "31", "1"], ["0011 1001", "071", "57", "39", "9"], ["0011 0010", "062", "50", "32", "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:... | 0 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["2", "Italy", "12", "8", "10", "30"], ["4", "Spain", "4", "14", "6", "24"], ["8", "Croatia", "0", "3", "3", "6"], ["1", "France", "14", "7", "7", "28"], ["7", "Algeria", "2", "0", "2", "4"], ["5", "Greece", "3", "4", "9", "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:... | 16 | Answer: | 128 |
Table InputTable: [["Year", "Premiers", "Score", "Runners Up", "Score"], ["2009", "South Cairns Cutters", "9.11 (65)", "Cairns Saints", "9.4 (58)"], ["2008", "Cairns Saints", "12.15 (87)", "North Cairns Tigers", "2.9 (21)"], ["2004", "Port Douglas Crocs", "17.13 (115)", "North Cairns Tigers", "8.9 (57)"], ["2013", "Nor... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Cairns Tigers | Answer: | 128 |
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"], ["Addis Ababa", "934", "1:3,056", "170", "1:16,791", "3,377", "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:... | 633 | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1991", "World Championships", "Tokyo, Japan", "6th", "Marathon", "2:15:58"], ["1987", "World Championships", "Rome, Italy", "13th", "Marathon", "2:17:45"], ["1996", "Olympic Games", "Atlanta, United States", "20th", "Marathon", "2:17:2... | 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:... | 2 | Answer: | 128 |
Table InputTable: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Schuyler", "2", "Montour County", "17772", ""], ["Schuyler", "2", "Northumberland County", "17772", ""], ["Shenandoah Junction", "1", "Schuylkill County", "17976", ""], ["Shenandoah", "1", "Schuylkill 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:... | 2 | Answer: | 128 |
Table InputTable: [["#", "Title", "Time", "Lyrics", "Music", "Producer(s)", "Performer(s)"], ["4", "\"It Ain't A Thang\"", "3:45", "Boondox", "Mike E. Clark", "Boondox", "Boondox"], ["12", "\"Red Mist\"", "3:54", "Boondox", "Mike E. Clark", "Boondox", "Boondox\\nBlaze Ya Dead Homie\\nTwiztid"], ["8", "\"Rollin Hard\"",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rollin Hard | Answer: | 128 |
Table InputTable: [["Representative", "Title", "Presentation\\nof Credentials", "Termination\\nof Mission", "Appointed by"], ["Mary Kramer", "Ambassador Extraordinary and Plenipotentiary", "February 5, 2004", "October 30, 2006", "George W. Bush"], ["Earl Norfleet Phillips", "Ambassador Extraordinary and Plenipotentiary... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "4.", "18 June 2011", "Aegon International, United Kingdom", "Grass", "Andreas Seppi", "6–7(5–7), 6–3, 3–5 ret."], ["Runner-up", "2.", "19 June 2010", "UNICEF Open, Netherlands", "Grass", "Sergiy Stakhovsky", "3–6... | 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:... | 7 | Answer: | 128 |
Table InputTable: [["Num", "Pod Color", "Nickname", "Short Description", "Episode"], ["080", "", "Dan", "", "Leroy & Stitch"], ["069", "", "H. T.", "", "Leroy & Stitch"], ["099", "", "Spot", "A spotlight experiment that was supposed to be in \"Spike\" but was removed, and was supposed to appear later. He shines a spotl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 89 | Answer: | 128 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.