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: [["Pos", "Team", "Played", "Won", "Draw", "Lost", "Goals For", "Goals Against", "Goal Difference", "Points", "Notes"], ["1", "KR", "18", "11", "4", "3", "27", "14", "+13", "37", "UEFA Champions League"], ["9", "Stjarnan", "18", "4", "5", "9", "18", "31", "-13", "17", "Relegated"], ["3", "Grindavík", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Leiftur | 128 | Answer: |
Table InputTable: [["Film", "Film", "Date"], ["Kodachrome Professional film", "35 mm, Type A (ASA 16)", "1956–1962"], ["Kodachrome 200", "Professional film, 35 mm, daylight", "1986–2004"], ["Kodachrome 25 film", "Professional film, 35 mm, daylight", "1983–1999"], ["Kodachrome 25 film", "35 mm, daylight", "1974–2001"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1956 | 128 | Answer: |
Table InputTable: [["#", "Name", "Height", "Weight (lbs.)", "Position", "Class", "Hometown", "Previous Team(s)"], ["21", "Artem Wallace", "6'8\"", "250", "C", "Jr.", "Toledo, WA, U.S.", "Toledo HS"], ["24", "Quincy Pondexter", "6'6\"", "210", "F", "So.", "Fresno, CA, U.S.", "San Joaquin Memorial HS"], ["32", "Joe Wolfi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Justin Holiday | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Score", "Result", "Record"], ["August 29 (First Round, Game 1)", "@ Sacramento", "59-65", "Loss", "0-1"], ["September 2 (First Round, Game 3)", "Sacramento", "68-70", "Loss", "1-2"], ["June 20", "@ San Antonio", "69-76", "Loss", "5-6"], ["June 1", "@ Minnesota", "64-68 (OT)", "L... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Festival", "Location", "Awards", "Link"], ["Oct 9", "London Int. Festival of Science Fiction Film", "London, England\\n UK", "Closing Night Film", "Sci-Fi London"], ["Oct 9, Oct 11", "Sitges Film Festival", "Sitges, Catalonia\\n Spain", "", "Sitges Festival"], ["Sep 19", "Lund International... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Santa Barbara International Film Festival | 128 | Answer: |
Table InputTable: [["Region", "Physician (GP & specialist)", "Physician : Population Ratio", "Health Officer", "HO : Population Ratio", "All Nurses", "Nurse : Population Ratio", "Mid-wives", "Mid Wife: Population Ratio", "HEW*", "HEW : Population Ratio"], ["Ben-Gumuz", "12", "1:59,309", "42", "1:16,945", "452", "1:1,57... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 42 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2006", "European Championships", "Gothenburg, Sweden", "5th", "5.65 m"], ["2005", "European U23 Championships", "Erfurt, Germany", "7th", "5.50 m"], ["2001", "European Junior Championships", "Grosseto, Italy", "7th", "5.15 m"], ["2003", "Europe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | World Indoor Championships | 128 | Answer: |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["2", "September 13, 1998", "FOX 1:15 pm MT", "at Seattle Seahawks", "L 33–14", "57,678"], ["4", "September 27, 1998", "FOX 10:00 am MT", "at St. Louis Rams", "W 20–17", "55,832"], ["3", "September 20, 1998", "ESPN 5:15 pm MT", "Philade... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2004 Rams | 128 | Answer: |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["3", "James Phillip", "55", "Honda Prelude Chevrolet", "James Phillip", "26", "28", "28", "30", "112"], ["1", "John Briggs", "9", "Honda Prelude Chevrolet", "John Briggs", "42", "42", "42", "42", "168"], ["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:... | Honda Prelude Chevrolet | 128 | Answer: |
Table InputTable: [["Hand", "Auto", "Wind", "Athlete", "Nationality", "Birthdate", "Location", "Date"], ["", "10.93", "0.6", "Gilles Echevin", "France", "01.09.1948", "Grenoble", "07.05.1989"], ["", "10.95", "", "Karl Heinz Schröder", "Germany", "17.06.1939", "Hannover", "28.07.1979"], ["", "10.26", "2.3", "Troy Dougla... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Island", "Area\\n(km²)", "Area\\n(sq mi)", "Country/Countries/Region"], ["242", "Pantelleria", "83", "32", "Italy"], ["273", "Graciosa Island", "62", "24", "Portugal"], ["213", "Santa Maria Island", "97", "37", "Portugal"], ["293", "Vessölandet (in Borgå/Porvoo)", "52", "20", "Finland"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Italy | 128 | Answer: |
Table InputTable: [["Representative", "Party", "Home Town/City", "District"], ["Jose Menendez", "D", "San Antonio", "124"], ["Philip Cortez", "D", "San Antonio", "117"], ["Joe Farias", "D", "San Antonio", "118"], ["Ruth McClendon", "D", "San Antonio", "120"], ["Trey Martinez Fischer", "D", "San Antonio", "116"], ["Rola... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Joe Straus, Lyle Larson | 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: [["Season", "Club", "Competition", "Games", "Goals"], ["2007/08", "KSV Roeselare", "Jupiler League", "25", "0"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["2008/09", "Excelsior Mouscron", "Jupiler League", "31", "1"], ["2006/07", "KSV Roeselare", "Jupiler League", "29", "1"], ["2010/... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Naturalisations by origin", "2000", "2005", "2009", "% Total 2009"], ["Maghreb", "68 185", "75 224", "56 024", "41.2"], ["Africa", "84 182", "98 453", "85 144", "62.7"], ["Asia", "27 941", "26 286", "19 494", "14.4"], ["South Asia", "4 246", "4 436", "3 660", "2.7"], ["Sub-Saharan Africa", "10 622"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Oceania | 128 | Answer: |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["1993", "27 Feb 1993", "Whistler, BC, Canada", "Downhill", "2nd"], ["1994", "29 Dec 1993", "Bormio, Italy", "Downhill", "3rd"], ["1994", "12 Mar 1994", "Whistler, BC, Canada", "Downhill", "3rd"], ["1994", "12 Dec 1993", "Val-d'Isère, France", "S... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Whistler, BC, Canada | 128 | Answer: |
Table InputTable: [["Year", "Rider", "Victories", "Bike", "Manufacturer's Championship"], ["1994", "Carl Fogarty", "11", "Ducati 916", "Ducati"], ["1995", "Carl Fogarty", "13", "Ducati 916", "Ducati"], ["1998", "Carl Fogarty", "3", "Ducati 916", "Ducati"], ["1999", "Carl Fogarty", "11", "Ducati 996", "Ducati"], ["1996"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 24 | 128 | Answer: |
Table InputTable: [["Period", "Live births per year", "Deaths per year", "Natural change per year", "CBR*", "CDR*", "NC*", "TFR*", "IMR*"], ["1965-1970", "229 000", "105 000", "124 000", "56.2", "25.8", "30.4", "7.32", "164"], ["1950-1955", "139 000", "66 000", "74 000", "52.6", "24.8", "27.8", "6.86", "174"], ["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", "Network", "NASCAR\\nCountdown", "Lap-by-lap", "Color commentator(s)", "Pit reporters", "Ratings", "Viewers"], ["2009", "ESPN", "Allen Bestwick\\nRusty Wallace\\nBrad Daugherty\\nRay Evernham", "Jerry Punch", "Dale Jarrett\\nAndy Petree", "Dave Burns\\nJamie Little\\nShannon Spake\\nVince We... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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, 2008, 2009 | 128 | Answer: |
Table InputTable: [["Name", "Character", "Unicode code point (decimal)", "Standard", "DTD", "Old ISO subset", "Description"], ["ordm", "º", "U+00BA (186)", "HTML 3.2", "HTMLlat1", "ISOnum", "masculine ordinal indicator"], ["reg", "®", "U+00AE (174)", "HTML 3.2", "HTMLlat1", "ISOnum", "registered sign (registered tradem... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | diams | 128 | Answer: |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2008", "Jiangsu Sainty", "China", "2", "24", "0"], ["2013", "Jiangsu Sainty", "China", "1", "11", "0"], ["2009", "Jiangsu Sainty", "China", "1", "15", "0"], ["2003", "Shandong Luneng", "China", "1", "4", "0"], ["2012", "Jiangsu Sainty", "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:... | 3 | 128 | Answer: |
Table InputTable: [["Preceded by\\nAlfred Scott", "Member of Parliament for Ashton-under-Lyne\\n1910–1916", "Succeeded by\\nAlbert Stanley"], ["Preceded by\\nSir Andrew Duncan", "Minister of Supply\\n1941–1942", "Succeeded by\\nSir Andrew Duncan"], ["New creation", "Baron Beaverbrook\\n1917–1964", "Succeeded by\\nJohn ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sir Andrew Duncan | 128 | Answer: |
Table InputTable: [["Nr.", "Name", "Area (km²)", "Population (2006)", "Capital", "Club(s)"], ["3", "Cairo", "3,435", "7,786,640", "Cairo", "Al-Ahly - Al Mokawloon - ENPPI - El-Jaish - El-Shorta - Itesalat"], ["1", "Alexandria", "2,900", "4,110,015", "Alexandria", "Al Itthad Al Sakandary - El-Olympi - Haras El Hodood"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Port Said | 128 | Answer: |
Table InputTable: [["Position", "Player", "Transferred From", "Date"], ["DF", "Kazuki Yoshino", "Albirex Niigata (S)", "1 January 2010"], ["MF", "Mohd Noor Ali", "Geylang United", "1 January 2010"], ["GK", "Fajar Sarib", "Geylang United", "1 January 2010"], ["FW", "Laakkad Abdelhadi", "Free Transfer", "1 January 2010"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kazuki Yoshino | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["4", "Hungary", "1", "1", "3", "5"], ["1", "Netherlands", "8", "3", "1", "12"], ["8", "China", "–", "–", "1", "1"], ["5", "Canada", "1", "–", "3", "4"], ["7", "Russia", "–", "1", "1", "2"], ["6", "Italy", "–", "2", "1", "3"], ["2", "Australia"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 0 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Korea", "1", "1", "2", "4"], ["8", "India", "0", "0", "1", "1"], ["4", "Thailand", "1", "0", "0", "1"], ["1", "Malaysia", "3", "0", "1", "4"], ["2", "Indonesia", "1", "3", "2", "6"], ["6", "Denmark", "0", "1", "0", "1"], ["7", "Japan", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Naturalisations by origin", "2000", "2005", "2009", "% Total 2009"], ["Africa", "84 182", "98 453", "85 144", "62.7"], ["Other Africa", "5 375", "7 605", "6 906", "5.1"], ["Sub-Saharan Africa", "10 622", "15 624", "22 214", "16.4"], ["Maghreb", "68 185", "75 224", "56 024", "41.2"], ["Total", "150 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 98 453 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Result", "Attendance"], ["15", "December 27, 1987", "Seattle Seahawks", "W 41–20", "20,370"], ["1", "September 13, 1987", "San Diego Chargers", "W 20–13", "56,940"], ["8", "November 8, 1987", "Pittsburgh Steelers", "L 17–16", "45,249"], ["5", "October 18, 1987", "Denver ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Name", "City", "Hospital beds", "Operating rooms", "Total", "Trauma designation", "Affiliation", "Notes"], ["Select Specialty Hospital-Greensboro", "Greensboro", "30", "0", "30", "-", "-", "-"], ["Alamance Regional Medical Center", "Burlington", "238", "15", "253", "-", "Cone", "-"], ["Novant Healt... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alamance Regional Medical Center | 128 | Answer: |
Table InputTable: [["Year", "Organization", "Award", "Work", "Result"], ["2011", "TV Navi", "Best Actress", "Ohisama", "Won"], ["2011", "26th Nikkan Sport Film Awards", "Best Newcomer", "Youkame no Semi, Miracle in the Pacific", "Won"], ["2011", "3rd TAMA Film Award", "Best Emerging Actress", "Miracle in the Pacific", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Model", "Volume", "Engine", "Fuel", "Power/Torque", "Years produced", "Produced"], ["735iL", "3.5L", "M62TUB35 V8", "Petrol", "174 kW (237 PS; 233 hp) / 345 N·m (254 lb·ft)", "1998–2001", ""], ["740iL", "4.4L", "M62TUB44 V8", "Petrol", "210 kW (286 PS; 282 hp) / 440 N·m (325 lb·ft)", "1998–2001", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5.4L | 128 | Answer: |
Table InputTable: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["185.07 km/h (115 mph)", "1905-06-11", "USA", "Pennsylvania Railroad E2 #7002", "Loc", "Steam", "Unmod.", "Claimed.[by whom?] Clocked at Crestline, Ohio at 127.1 mph (205 km/h) in 1905. However PRR Steam Locomotives did not... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 202.6 km/h (126 mph) | 128 | Answer: |
Table InputTable: [["Result", "Date", "Category", "Tournament", "Surface", "Partnering", "Opponents", "Score"], ["Runner-up", "9 September 1984", "Grand Slam", "US Open, United States", "Hard", "Wendy Turnbull", "Martina Navrátilová\\n Pam Shriver", "2–6, 4–6"], ["Runner-up", "29 January 1984", "$100,000", "Marco Islan... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Represents", "Contestant", "Age", "Height", "Hometown"], ["Panamá Este", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Bocas del Toro", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Comarcas", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Chiriquí Occidente", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Panamá Centro", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Round", "Round", "Race", "Date", "Pole Position", "Fastest Lap", "Winning Club", "Winning Team", "Report"], ["1", "R1", "Donington Park", "August 31", "Beijing Guoan", "Beijing Guoan", "Beijing Guoan", "Zakspeed", "Report"], ["4", "R2", "Estoril", "October 19", "", "Borussia Dortmund", "Al Ain", "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:... | 12 | 128 | Answer: |
Table InputTable: [["Model", "Fuel Type", "mpg (US gallons)", "L/100 km", "NZ Rating\\n(Stars)"], ["Mini Cooper COUPE 6A 3DR 1.6L Diesel", "diesel", "43.5", "5.4", "5"], ["Mini Cooper COUPE 6M 3DR 1.6L Diesel", "diesel", "52", "4.5", "5.5"], ["Mini Cooper COUPE 6A 3DR 1.6L", "petrol", "34.6", "6.8", "4.5"], ["Mini Coop... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mini Cooper COUPE 6M 3DR 1.6L Diesel | 128 | Answer: |
Table InputTable: [["Model", "Volume", "Engine", "Fuel", "Power/Torque", "Years produced", "Produced"], ["740iL", "4.4L", "M62B44 V8", "Petrol", "210 kW (286 PS; 282 hp) / 420 N·m (310 lb·ft)", "1996–1998", "91431"], ["740i", "4.4L", "M62B44 V8", "Petrol", "210 kW (286 PS; 282 hp) / 420 N·m (310 lb·ft)", "1996–1998", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["Season", "Team", "Country", "Division", "Apps", "Goals"], ["2008/09", "Dnipro Dnipropetrovsk", "Ukraine", "1", "22", "1"], ["2006/07", "Dnipro Dnipropetrovsk", "Ukraine", "1", "12", "0"], ["2012/13", "Dnipro Dnipropetrovsk", "Ukraine", "1", "10", "1"], ["2004", "CSKA Moscow", "Russia", "1", "0", "0... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2004 | 128 | Answer: |
Table InputTable: [["Model", "Volume", "Engine", "Fuel", "Power/Torque", "Years produced", "Produced"], ["725tds", "2.5L", "M51D25 turbocharged I6", "Diesel", "105 kW (143 PS; 141 hp) / 280 N·m (207 lb·ft)", "1995–2001", "9053"], ["728i", "2.8L", "M52B28 I6", "Petrol", "142 kW (193 PS; 190 hp) / 280 N·m (207 lb·ft)", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 730d | 128 | Answer: |
Table InputTable: [["Name", "Topic", "Cost", "Target age", "Advertising"], ["Ask A Biologist", "Biology", "Free", "5+", "None"], ["Archimedes-lab.org", "Mathematics", "Free", "10+", "Yes - limited"], ["LearnAlberta.ca", "Everything (mainly aimed at teachers)", "Free", "5-18", "No"], ["Cut-the-Knot", "Maths", "Free", "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:... | Ask A Biologist | 128 | Answer: |
Table InputTable: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["1", "1", "Going Up!", "October 25, 1998", "101"], ["8", "8", "Special FX-Ation", "January 24, 1999", "108"], ["2", "2", "Who's The Man", "November 1, 1998", "102"], ["13", "13", "Hot Dog", "March 14, 1999", "11... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Going Up! | 128 | Answer: |
Table InputTable: [["Team", "City", "Venue", "Capacity", "Head Coach", "Team Captain", "Past Season"], ["Persepolis", "Tehran", "Azadi", "90,000", "Nelo Vingada", "Karim Bagheri", "Champion"], ["Foolad", "Ahvaz", "Takhti Ahvaz", "15,000", "Majid Jalali", "Ali Badavi", "Qualifier"], ["Pas Hamedan", "Hamedan", "Ghods", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Persepolis | 128 | Answer: |
Table InputTable: [["No.", "Date", "Tournament", "Winning score", "Margin of\\nvictory", "Runner(s)-up"], ["8", "2 Dec 2007", "Golf Nippon Series JT Cup", "−11 (70-70-68-61=261)", "1 stroke", "Toru Taniguchi"], ["3", "25 Apr 2004", "Tsuruya Open", "−9 (64-73-69-69=275)", "2 strokes", "Keiichiro Fukabori, Scott Laycock,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Nov 2007 | 128 | Answer: |
Table InputTable: [["City", "County", "Population (2011)", "Population (2002)", "Altitude (m)", "Year status\\ngranted* or\\nfirst attested†"], ["Bucharest", "-", "1,883,425", "1,926,334", "85", "1459†"], ["Bălcești", "Vâlcea", "4,864", "5,780", "", "2002*"], ["Vașcău", "Bihor", "2,315", "3,032", "", "1956*"], ["Moldov... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | no | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Name", "Nationality", "Time", "Notes"], ["2", "4", "David Smetanine", "France", "38.97", "Q"], ["6", "2", "Ronystony Cordeiro da Silva", "Brazil", "44.22", ""], ["7", "8", "Grant Patterson", "Australia", "55.49", ""], ["3", "3", "Kyunghyun Kim", "South Korea", "40.37", "Q"], ["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 | 128 | Answer: |
Table InputTable: [["Game", "Day", "Date", "Kickoff", "Opponent", "Results\\nScore", "Results\\nRecord", "Location", "Attendance"], ["14", "Friday", "February 7", "7:05pm", "at Turlock Express", "L 6–9", "7–7", "Turlock Soccer Complex", "673"], ["7", "Sunday", "December 22", "1:05pm", "Turlock Express", "W 16–8", "4–3"... | 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:... | 218 | 128 | Answer: |
Table InputTable: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS R&B", "Peak chart positions\\nUS Rap", "Album"], ["\"Bring Me Down\"", "2010", "—", "—", "—", "N/A"], ["\"Not Like Them\"\\n(featuring Styles P)", "2012", "—", "—", "—", "The Greatest Story Never Told Chapter 2: Bread and Circu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Character", "Actor", "Series", "Notes"], ["Rachel Selway", "Nicola Redmond", "Series 2", "Tom Adams' replacement, following his resignation from the force. She joined the team alongside junior sergeant Tony Speed."], ["Tony Speed", "Richard Huw", "Series 2", "A junior sergeant, who joined the team ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rachel Selway | 128 | Answer: |
Table InputTable: [["#", "Weekend End Date", "Film", "Box Office"], ["19", "May 10, 1998", "Scream 2", "£1,213,184"], ["2", "January 11, 1998", "The Jackal", "£1,422,193"], ["9", "March 1, 1998", "Titanic", "£3,403,199"], ["18", "May 3, 1998", "Scream 2", "£2,493,950"], ["29", "July 19, 1998", "Godzilla", "£4,176,960"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Starship Troopers | 128 | Answer: |
Table InputTable: [["Year", "Organization", "Award", "Work", "Result"], ["2011", "26th Nikkan Sport Film Awards", "Best Newcomer", "Youkame no Semi, Miracle in the Pacific", "Won"], ["2011", "TV Navi", "Best Actress", "Ohisama", "Won"], ["2007", "16th Hashida Awards", "Newcomer Award", "Hana Yori Dango 2", "Won"], ["20... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2013", "15th Mnet Asian Music Awards", "Best Vocal Performance - Female", "\"U&I\"", "Won"], ["2014", "Soompi Music Awards", "Best Female Artist", "\"U&I\"", "Won"], ["2013", "15th Mnet Asian Music Awards", "BC - UnionPay Song of the year", "\"U... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Year", "Chassis", "Engine", "Start", "Finish", "Team"], ["2013", "Dallara", "Chevrolet", "8", "6", "Team Penske"], ["2012", "Dallara", "Chevrolet", "6", "10", "Team Penske"], ["2002", "Dallara", "Chevrolet", "13", "1", "Team Penske"], ["2007", "Dallara", "Honda", "1", "3", "Team Penske"], ["2006", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Oldsmobile, Toyota, Honda | 128 | Answer: |
Table InputTable: [["No.", "Date", "Tournament", "Winning score", "Margin of\\nvictory", "Runner(s)-up"], ["9", "26 Sep 2010", "Asia-Pacific Panasonic Open\\n(co-sanctioned by the Asian Tour)", "−6 (71-70-66=207)", "1 stroke", "Ryuichi Oda"], ["3", "25 Apr 2004", "Tsuruya Open", "−9 (64-73-69-69=275)", "2 strokes", "Ke... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sun Chlorella Classic, Golf Nippon Series JT Cup, Asia-Pacific Panasonic Open (co-sanctioned by the Asian Tour) | 128 | Answer: |
Table InputTable: [["Year", "Winner", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Win $"], ["2009", "Miss World", "Cornelio Velasquez", "Christophe Clement", "Waratah Thoroughbreds", "1-1/8", "1:53.55", "$180,000"], ["2011", "Winter Memories", "Javier Castellano", "James J. Toner", "Phillips Racing Par... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["District", "Incumbent", "2008 Status", "Democratic", "Republican"], ["1", "Diana DeGette", "Re-election", "Diana DeGette", "George Lilly"], ["4", "Marilyn Musgrave", "Re-election", "Betsy Markey", "Marilyn Musgrave"], ["7", "Ed Perlmutter", "Re-election", "Ed Perlmutter", "John W. Lerew"], ["5", "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:... | Democratic | 128 | Answer: |
Table InputTable: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["9", "107", "Virat Kohli", "India", "114", "2", "Sri Lanka", "24 December 2009", "Won"], ["3", "100*", "Sachin Tendulkar", "India", "103", "2", "Kenya", "31 May 1998", "Won"], ["6", "134*", "Graeme Smith", "Sout... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | India | 128 | Answer: |
Table InputTable: [["Season", "Class", "Moto", "Races", "Win", "Podiums", "Pole", "Pts", "Position"], ["2010", "125cc", "Aprilia", "16", "3", "14", "1", "296", "2nd"], ["2007", "125cc", "Derbi", "17", "0", "0", "0", "19", "22nd"], ["2004", "125cc", "Aprilia", "1", "0", "0", "0", "0", "NC"], ["2011", "125cc", "Aprilia",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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, 2007, 2008, 2009, 2010, 2011, 2012, 2013 | 128 | Answer: |
Table InputTable: [["Year", "Name", "Label", "Hot Black Singles", "Club Play Singles"], ["1982", "\"Thanks to You\"", "Becket", "#44", "#1"], ["1987", "\"Send It C.O.D.\"", "New Image", "―", "―"], ["1983", "\"I Need You Now\"", "Jive", "―", "―"], ["1982", "\"He's Gonna Take You Home\"", "Becket", "―", "―"], ["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:... | 7 | 128 | Answer: |
Table InputTable: [["Date", "Time", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 15", "7:00 PM", "Utah State*", "#22", "Camp Randall Stadium • Madison, WI", "BTN", "W 16–14", "79,332"], ["December 1", "7:00 PM", "vs. #14 Nebraska", "", "Lucas Oil Stadium • Indianapolis, IN (Big Ten Champions... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Northern Iowa | 128 | Answer: |
Table InputTable: [["Route Number", "Route", "Via", "Operator", "Operation"], ["462", "Hainault The Lowe to Ilford Hainault Street", "Grange Hill , Barkingside, Gants Hill", "Arriva London", "Daily. London Buses service. Times"], ["179", "Chingford to Ilford Hainault Street", "Woodford Green, South Woodford , Gants Hil... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 179 | 128 | Answer: |
Table InputTable: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["3", "Bruno Junqueira", "Dale Coyne Racing", "69", "+8.419", "11", "26"], ["7", "Sébastien Bourdais", "N/H/L Racing", "69", "+22.955", "1", "18"], ["16", "Alex Figge", "Pacific Coast Motorsports", "68", "+ 1 Lap", "16", "5"], ["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:... | Paul Tracy | 128 | Answer: |
Table InputTable: [["Celebrity", "Residence", "Famous for.../Occupation", "Age", "Status"], ["Regina Do Santos", "Brazil", "Singer & Dancer", "58", "1st / 14th Evicted"], ["Nagore Robles", "Bilbao", "Gran Hermano 11 Housemate", "28", "Winner"], ["Brenda Cerdá", "Valencia", "Reality show star", "19", "4th Evicted"], ["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:... | 15 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["2006–2007", "Family Guy", "Esther", "Voice\\n3 episodes"], ["2004–2006", "Strong Medicine", "Dr. Kayla Thorton", "37 episodes"], ["1994–1999", "Sister, Sister", "Tamera Campbell", "119 episodes"], ["1991", "Flesh'n Blood", "Penelope", "1 episode"], ["1995–1996", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sister, Sister | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["16", "Luca Boscoscuro", "TSR-Honda", "+56.432", ""], ["24", "Henk Van De Lagemaat", "Honda", "+1 Lap", ""], ["8", "Stefano Perugini", "Honda", "+20.891", "8"], ["2", "Valentino Rossi", "Aprilia", "+0.180", "20"], ["18", "Julien Allemand", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Loris Capirossi | 128 | Answer: |
Table InputTable: [["Season", "Team", "Record", "Head Coach", "Quarterback", "Leading Rusher", "Leading Receiver", "All-Pros", "Runner Up"], ["1970", "Dallas Cowboys", "10–4", "Tom Landry*", "Craig Morton", "Duane Thomas", "Bob Hayes*", "Howley", "San Francisco 49ers"], ["1971", "Dallas Cowboys†", "11–3", "Tom Landry*"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jimmy Johnson | 128 | Answer: |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["15 October", "Tashkent (N)", "Japan", "2–1", "AFC U-16 Championship (Semifinal)"], ["8 October", "Tashkent (N)", "Syria", "1–1", "AFC U-16 Championship (Group B)"], ["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:... | 10 | 128 | Answer: |
Table InputTable: [["Pos", "Name", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["16", "Alex Figge", "Pacific Coast Motorsports", "68", "+ 1 Lap", "16", "5"], ["10", "Ryan Dalziel", "Pacific Coast Motorsports", "69", "+29.554", "15", "11"], ["3", "Bruno Junqueira", "Dale Coyne Racing", "69", "+8.419", "11", "26"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 18 | 128 | Answer: |
Table InputTable: [["Year", "Organization", "Award", "Work", "Result"], ["2007", "16th Hashida Awards", "Newcomer Award", "Hana Yori Dango 2", "Won"], ["2007", "10th Nikkan Sports Drama Grand Prix", "Best Actress", "Hana Yori Dango 2", "Won"], ["2011", "26th Nikkan Sport Film Awards", "Best Newcomer", "Youkame no Semi,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hana Yori Dango 2 | 128 | Answer: |
Table InputTable: [["Date", "Venue", "Opponent", "Result", "Scoreline", "China scorers"], ["May 25", "Kunshan", "Jordan", "Won", "2-0", "Hao Junmin 23' pen\\nLi Weifeng 48'"], ["Dec 19", "Muscat", "Iran", "Lost", "0-2", ""], ["Dec 21", "Amman", "Jordan", "Won", "1-0", "Cao Yang 77'"], ["January 27", "Zhongshan", "Syria... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Qu Bo | 128 | Answer: |
Table InputTable: [["Client", "Years of Operation", "Area of Operation", "Country", "Services"], ["SOC", "2000-current", "SOC fields", "Libya", "Drilling"], ["OMV", "1997", "Field 103", "Libya", "Drilling, workover"], ["Zueitina", "2001-current", "Field 103", "Libya", "Drilling, workover"], ["IPLL", "1999-current", "El... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Nr.", "Name", "Area (km²)", "Population (2006)", "Capital", "Club(s)"], ["4", "Gharbia", "25,400", "3,790,670", "Tanta", "Ghazl El-Mehalla"], ["5", "Giza", "85,153", "6,272,571", "Giza", "Zamalek- Tersana"], ["1", "Alexandria", "2,900", "4,110,015", "Alexandria", "Al Itthad Al Sakandary - El-Olympi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Giza | 128 | Answer: |
Table InputTable: [["Nr.", "Name", "Area (km²)", "Population (2006)", "Capital", "Club(s)"], ["5", "Giza", "85,153", "6,272,571", "Giza", "Zamalek- Tersana"], ["2", "Asyut", "25,926", "3,441,597", "Asyut", "Petrol Asyout"], ["1", "Alexandria", "2,900", "4,110,015", "Alexandria", "Al Itthad Al Sakandary - El-Olympi - 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:... | Giza | 128 | Answer: |
Table InputTable: [["Year", "Organization", "Award", "Work", "Result"], ["2011", "TV Navi", "Best Actress", "Ohisama", "Won"], ["2007", "16th Hashida Awards", "Newcomer Award", "Hana Yori Dango 2", "Won"], ["2011", "35th Fumiko Yamaji Award Film Awards", "Newcomer Actress", "Youkame no Semi", "Won"], ["2011", "3rd TAMA... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Best Actress | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["11", "Kyrgyzstan (KGZ)", "1", "1", "0", "2"], ["12", "Kuwait (KUW)", "1", "0", "0", "1"], ["8", "Sri Lanka (SRI)", "2", "0", "2", "4"], ["5", "South Korea (KOR)", "3", "2", "1", "6"], ["3", "Saudi Arabia (KSA)", "7", "1", "0", "8"], ["12", "N... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["#", "Massif", "Region", "Type of nature reserve", "Preserved area", "Buffer zone"], ["8", "Rožok", "Presov", "Presov Preserved areas", "67.1 ha", "41.4 ha"], ["10", "Havešová", "Presov", "Presov Preserved areas", "171.3 ha", "63.9 ha"], ["5", "Kuziy / Trybushany", "Zakarpattia", "Carpathian Biosphe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chornohora | 128 | Answer: |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2012", "So-Loved Awards", "Best Female Newcomer", "Herself", "Won"], ["2013", "27th Golden Disk Awards", "Best New Artist", "Herself", "Won"], ["2012", "Asia Song Festival", "New Artist Award", "Herself", "Won"], ["2012", "14th Mnet Asian Music ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Directed by", "Written by", "Original air date", "Production\\ncode"], ["17", "17", "\"Stand (Up) and Deliver\"", "Burt Brinckerhoff", "Amy Spies", "March 7, 1991", "2190016"], ["12", "12", "\"One Man and a Baby\"", "Burt Brinckerhoff", "Amy Spies", "January 24, 1991", "2190011"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Home Again" | 128 | Answer: |
Table InputTable: [["Player", "Friendlies", "FIFA Confederations Cup", "FIFA World Cup Qual.", "Total Goals"], ["Milicic", "2", "-", "-", "2"], ["Viduka", "1", "-", "2", "3"], ["Bresciano", "2", "-", "1", "3"], ["Zdrilic", "1", "-", "-", "1"], ["Colosimo", "1", "-", "-", "1"], ["Cahill", "-", "-", "1", "1"], ["Chipperf... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Aloisi | 128 | Answer: |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["20 March", "Fukuoka (A)", "China PR", "1–0", "Sanix Cup"], ["20 March", "Fukuoka (A)", "Japan", "2–0", "Sanix Cup"], ["6 October", "Tashkent (N)", "Indonesia", "9–0", "AFC U-16 Championship (Group B)"], ["12 October", "Tashkent (A)", "Uzbekist... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 August | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Canada", "1", "–", "3", "4"], ["7", "Russia", "–", "1", "1", "2"], ["8", "China", "–", "–", "1", "1"], ["1", "Netherlands", "8", "3", "1", "12"], ["2", "Australia", "3", "3", "4", "10"], ["6", "Italy", "–", "2", "1", "3"], ["4", "Hungary... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hungary | 128 | Answer: |
Table InputTable: [["Route Number", "Route", "Via", "Operator", "Operation"], ["W13", "Woodford Wells to Leytonstone Station", "Woodford Green, Snaresbrook , Wanstead", "HCT Group", "Daily. London Buses service. Times"], ["W14", "Leyton Asda to Woodford Bridge", "South Woodford , Wanstead , Leytonstone", "Arriva London... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | W12 | 128 | Answer: |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["Danny Coles", "3", "0", "0", "0", "3"], ["OWN GOALS", "0", "0", "0", "0", "0"], ["Jamie Cureton", "20", "0", "0", "0", "20"], ["Scot Bennett", "5", "0", "0", "0", "5"], ["Arron Davies", "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:... | John O'Flynn | 128 | Answer: |
Table InputTable: [["decimal32", "decimal64", "decimal128", "decimal(32k)", "Format"], ["5", "5", "5", "5", "Combination field (bits)"], ["20", "50", "110", "t = 30×k−10", "Coefficient continuation field (bits)"], ["6", "8", "12", "w = 2×k + 4", "Exponent continuation field (bits)"], ["1", "1", "1", "1", "Sign field (b... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Exponent continuation field (bits) | 128 | Answer: |
Table InputTable: [["Place", "Shooter", "5 pts", "4 pts", "3 pts", "2 pts", "1 pts", "0 pts", "Total", "Rank"], ["3", "Dennis Fenton", "1", "2", "5", "2", "-", "-", "32", "16"], ["3", "United States (USA)", "7", "17", "13", "3", "-", "-", "148", ""], ["4", "Great Britain (GBR)", "8", "9", "18", "3", "-", "2", "136", ""... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["1", "Clipsal 500", "Adelaide Street Circuit", "Adelaide, South Australia", "19-22 Mar", "David Russell"], ["4", "Norton 360 Sandown Challenge", "Sandown Raceway", "Melbourne, Victoria", "31 Jul-Aug 2", "David Russell"], ["5", "Queensland Ho... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Clipsal 500 | 128 | Answer: |
Table InputTable: [["No.", "Date/time", "Aircraft", "Foe", "Result", "Location", "Notes"], ["8", "28 July 1917 @ 1735 hours", "Sopwith Triplane s/n N5462", "German two-seater aircraft", "Driven down out of control", "Middelkerke, Belgium", "Victory shared with Francis Mellersh"], ["1", "4 December 1916 @ 1100 hours", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 December 1916 @ 1100 hours | 128 | Answer: |
Table InputTable: [["Stations", "Connections", "City/ Neighborhood", "Parking", "Date Opened"], ["Woodley", "Metro Local:164, 237", "Van Nuys", "None", "October 29, 2005"], ["Balboa", "Metro Local: 164, 236, 237\\nLADOT Commuter Express: 573, 574", "Lake Balboa", "270 Spaces", "October 29, 2005"], ["Reseda", "Metro Rap... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chatsworth | 128 | Answer: |
Table InputTable: [["Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted", "Result", "Encrypted"], ["1", "109", "20", "125", "39", "116", "58", "37", "77", "65"], ["7", "99", "26", "58", "45", "119", "64", "81", "83", "94"], ["6", "97", "25", "78", "44", "40", "63", "43", "82", "118... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 93 | 128 | Answer: |
Table InputTable: [["Name", "Nationality", "From", "To", "Honours", "Comments"], ["René Heitmann", "Denmark", "17 July 2010", "27 July 2010", "", "Never coached the team in a match"], ["John 'Tune' Kristiansen", "Denmark", "18 June 2012", "23 June 2012", "", "Caretaker for one league match"], ["Henrik Jensen", "Denmark... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | No | 128 | Answer: |
Table InputTable: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["Empire State Building", "United States", "New York City", "448 / 1,472", "Skyscraper", "1931–1967", ""], ["Chrysler Building", "United States", "New York City", "319 / 1,046", "Skyscraper", "1930–1931", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1967 | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["1", "15", "Reggie Johnson", "PF/C", "United States", "Tennessee"], ["4", "83", "Calvin Roberts", "", "United States", "California State-Fullerton"], ["3", "61", "Rich Yonakor", "", "United States", "North Carolina"], ["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:... | Johnson | 128 | Answer: |
Table InputTable: [["Boat", "Time", "Crew", "Nation", "Date", "Meet", "Location"], ["LM2x\\nLightweight double sculls", "6:10.02", "Mads Rasmussen\\nRasmus Quist", "Denmark", "2007", "", "Amsterdam, Netherlands"], ["M2x\\nDouble sculls", "6:03.25", "Adrien Hardy\\nJean-Baptiste Macquet", "France", "2006", "", "Poznań, ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Representative", "Years", "State", "Party", "Lifespan"], ["Florence Prag Kahn", "1925–1936", "California", "Republican", "1866–1948"], ["Julius Kahn", "1899–1903\\n1905–1924", "California", "Republican", "1861–1924"], ["John C. Kunkel", "1939–1951\\n1961–1966", "Pennsylvania", "Republican", "1898–1... | 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:... | Julius Kahn | 128 | Answer: |
Table InputTable: [["Name of place", "Number of counties", "Principal county", "Lower zip code", "Upper zip code"], ["Sadsbury Township", "1", "Crawford County", "", ""], ["Sadsbury Township", "1", "Chester County", "", ""], ["Sadsbury Township", "1", "Lancaster County", "", ""], ["Sadsburyville", "1", "Chester County"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Week", "Date", "Result", "Record", "Opponent", "Points For", "Points Against", "First Downs", "Attendance"], ["10", "November 20", "Loss", "8–2", "at Pittsburgh Steelers", "13", "28", "20", "49,761"], ["9", "November 14", "Loss", "8–1", "St. Louis Cardinals", "17", "24", "16", "64,038"], ["11", "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:... | 2 | 128 | Answer: |
Table InputTable: [["#", "Name", "Took office", "Left office", "Party", "Governor", "Notes"], ["8", "Samuel Hall", "December 9, 1840", "December 6, 1843", "Whig", "Samuel Bigger", ""], ["7", "David Hillis", "December 6, 1837", "December 9, 1840", "Whig", "David Wallace", ""], ["6", "David Wallace", "December 7, 1831", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name", "Country", "Town", "Height\\nmetres / ft", "Structural type", "Held record", "Notes"], ["Ostankino Tower", "Russia", "Moscow", "540 / 1,772", "Tower", "1967–1976", ""], ["Eiffel Tower", "France", "Paris", "300.6 / 986", "Tower", "1889–1930", "Currently stands at a height of 324 metres (1,063... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "OPPONENT", "SCORE", "TOP SCORER (Total points)", "VENUE"], ["February 28", "SAN MIGUEL", "78-76", "Lowell Briones (21)", "PHILSPORTS ARENA"], ["February 16", "ALASKA", "73-72", "Davonn Harp (20)", "PHILSPORTS ARENA"], ["June 10 Commissioner's Cup", "MOBILINE", "97-92", "Tony Lang (29)", "AR... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lang | 128 | Answer: |
Table InputTable: [["No. in\\nseason", "No. in\\nseries", "Title", "Canadian airdate", "US airdate", "Production code"], ["5", "322", "\"About A Girl\"", "August 1, 2013", "August 1, 2013", "1305"], ["21", "338", "\"No Surprises\"", "February 25, 2014", "February 25, 2014", "1321"], ["17", "334", "\"The World I Know\""... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | July 11, 2013 | 128 | Answer: |
Table InputTable: [["Season", "Competition", "Round", "Club", "Home", "Away"], ["2011–12", "UEFA Europa League", "1QR", "FK Budućnost", "1–2", "3–1"], ["2012–13", "UEFA Europa League", "1QR", "Budapest Honvéd", "0–1", "0–2"], ["2009–10", "UEFA Europa League", "2QR", "Motherwell", "1–0", "1–8"], ["1986–87", "UEFA Cup", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.