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: [["Number", "Name", "Service", "From", "To"], ["6", "MG George C. Rickards", "USA", "June 29, 1921", "June 28, 1925"], ["(Acting)", "Maj Gen Earl T. Ricks", "USAF", "February 16, 1953", "June 21, 1953"], ["17", "Maj Gen Winston P. Wilson", "USAF", "August 31, 1963", "August 31, 1971"], ["(Acting)", "M... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | MG Jesse McI. Carter | 128 | Answer: |
Table InputTable: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS R&B", "Peak chart positions\\nUS Rap", "Album"], ["\"Pain In My Life\"\\n(featuring Trey Songz)", "2006", "—", "—", "—", "N/A"], ["\"C'mon Baby\"\\n(featuring Swizz Beatz)", "2007", "—", "—", "—", "N/A"], ["\"Gotta Believe It\"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | 128 | Answer: |
Table InputTable: [["Competition", "Total spectatorship", "Average match attendance", "Year"], ["A-League", "1,772,133", "12,707", "2012/2013"], ["National Rugby League", "3,345,248", "16,643", "2013"], ["Big Bash League", "550,262", "17,750", "2011/2012"], ["Australian Football League", "6,931,085", "33,484", "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:... | 3,345,248 | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["Quarterfinals-2", "2006..", "[[]]", "[[]]", "-"], ["Quarterfinals-1", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-2", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-1", "2006..", "[[]]", "[[]]", "-"], ["GL-A-1", "2006..", "[[]]", "[[]]", "-"], ["GL-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:... | 2006 | 128 | Answer: |
Table InputTable: [["Stations", "Connections", "City/ Neighborhood", "Parking", "Date Opened"], ["Nordhoff", "Metro Local: 166, 364\\nLADOT DASH Northridge", "Chatsworth", "n/a", "June 30, 2012"], ["Reseda", "Metro Rapid: 741\\nMetro Local: 240", "Tarzana", "522 Spaces", "October 29, 2005"], ["Balboa", "Metro Local: 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:... | 10 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2006", "World Indoor Championships", "Moscow, Russia", "10th (q)", "5.65 m"], ["2012", "European Championships", "Helsinki, Finland", "–", "NM"], ["2007", "European Indoor Championships", "Birmingham, United Kingdom", "16th (q)", "5.40 m"], ["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:... | Gothenburg, Sweden | 128 | Answer: |
Table InputTable: [["Publication", "Country", "Accolade", "Year", "Rank"], ["Pop", "Sweden", "The World's 100 Best Albums + 300 Complements", "1994", "101"], ["NME", "United Kingdom", "All Times Top 100 Albums", "1985", "46"], ["Time Out", "United Kingdom", "The 100 Best Albums of All Time", "1989", "3"], ["NME", "Unit... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Time", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["October 6", "2:30 PM", "Illinois", "", "Camp Randall Stadium • Madison, WI", "ABC/ESPN2", "W 31–14", "80,096"], ["October 20", "11:00 AM", "Minnesota", "", "Camp Randall Stadium • Madison, WI (Paul Bunyan's Axe)", "ESPNU"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | October 13 | 128 | Answer: |
Table InputTable: [["Fence", "Name", "Jockey", "Age", "Handicap (st-lb)", "Starting price", "Fate"], ["06", "Barleycroft", "Phil Harvey", "10", "10-13", "100/1", "Brought Down"], ["18", "Leedsy", "George Robinson", "7", "10-13", "18/1", "Fell"], ["?", "Blonde Warrior", "Mr D Crossley-Cooke", "13", "10-13", "100/1", "Fe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | 128 | Answer: |
Table InputTable: [["Date", "Time", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["September 29", "7:00 PM", "at #20 Nebraska", "#23", "Memorial Stadium • Lincoln, NE", "ABC", "L 27–30", "85,962"], ["November 10", "11:00 AM", "at Indiana", "", "Memorial Stadium • Bloomington, IN", "ESPN2", "W 62–14", "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:... | January 1, 2013, 4:10 PM | 128 | Answer: |
Table InputTable: [["Game", "Date", "Team", "Score", "High points", "High rebounds", "High assists", "Location\\nAttendance", "Record"], ["43", "January 21", "Washington", "L 107–110", "John Salmons, Beno Udrih (24)", "John Salmons, Shelden Williams, Jason Thompson (5)", "John Salmons (5)", "ARCO Arena\\n10,821", "10–3... | 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 | 128 | Answer: |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2001", "Tasmania", "", "", "", ""], ["2005", "Queensland", "", "Alice Springs", "Alkupitja", "Darwin"], ["2009", "Queensland", "", "Alkupitja", "Tangen... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2001 | 128 | Answer: |
Table InputTable: [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["Charles S. Price", "Steamer", "Lake Huron", "near Port Huron, Michigan", "28 lost"], ["John A. McGean", "Steamer", "Lake Huron", "near Goderich, Ontario", "28 lost"], ["Hydrus", "Steamer", "Lake Huron", "near Lexington, Michigan", "28 lo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Club", "Nationality", "Points"], ["3", "Luis Suárez", "Internazionale", "Spain", "45"], ["17", "Amancio Amaro", "Real Madrid", "Spain", "2"], ["15", "Mario Corso", "Internazionale", "Italy", "3"], ["13", "Ferenc Puskás", "Real Madrid", "Spain", "5"], ["8", "Alessandro Mazzola", "Int... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["9", "Uruguay", "0", "0", "1", "1"], ["1", "Brazil", "7", "5", "3", "15"], ["9", "Netherlands Antilles", "0", "0", "1", "1"], ["5", "Argentina", "1", "2", "5", "8"], ["9", "Panama", "0", "0", "1", "1"], ["7", "Ecuador", "0", "2", "2", "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:... | Guyana | 128 | Answer: |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["2", "10", "Lydia Cheromei (KEN)", "15:32.00 Q", ""], ["1", "16", "Yelena Kopytova (RUS)", "15:37.19", "PB"], ["1", "26", "Zohra Ouaziz (MAR)", "15:58.84", ""], ["1", "35", "Zalia Aliou (TOG)", "18:34.45", "NR"], ["2", "18", "Stela Olteanu (ROU)", "15:40.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | CHN | 128 | Answer: |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["1992", "Real Zaragoza", "Fútbol Club Barcelona", "-", "-"], ["1972", "Hamburg SV", "Sociedade Esportiva Palmeiras", "Real Zaragoza", "-"], ["1990", "FC Dinamo Moscow", "Real Zaragoza", "Real Betis Balompié", "-"], ["1991", "Real Zaragoza", "Dina... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Character", "Real name", "Home world", "Membership notes", "Powers"], ["Dragonwing", "Marya Pai", "Earth", "First appeared in Legion of Super-Heroes vol. 6, #6 (December 2010) as a student at the Legion Academy.\\nJoined between Legion of Super-Heroes vol. 6, #16 (October 2011) and Legion of Super-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dragonwing | 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 28", "Fantastic Fest", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | London Int. Festival of Science Fiction Film | 128 | Answer: |
Table InputTable: [["Name", "Character", "Unicode code point (decimal)", "Standard", "DTD", "Old ISO subset", "Description"], ["Aring", "Å", "U+00C5 (197)", "HTML 2.0", "HTMLlat1", "ISOlat1", "Latin capital letter A with ring above (Latin capital letter A ring)"], ["middot", "·", "U+00B7 (183)", "HTML 3.2", "HTMLlat1",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Name", "City", "Hospital beds", "Operating rooms", "Total", "Trauma designation", "Affiliation", "Notes"], ["Cone Health", "Greensboro", "907", "62", "969", "Level II", "Cone", "-"], ["Annie Penn Hospital", "Reidsville", "110", "6", "116", "-", "Cone", "-"], ["FirstHealth Moore Regional Hospital 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:... | 969 | 128 | Answer: |
Table InputTable: [["Railroad", "Qty.", "Road numbers", "Notes"], ["Soo Line", "5", "6058-6062", "Former SOO 6058-6062/CP 6258-6262 have now been put up for sale."], ["Soo Line", "58", "6000-6057", "SOO 6000-6020 returned to leaser, Capital Finance (CIT Group) Former SOO 6021-6057/CP 6221-6257 have now been put up for ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 63 | 128 | Answer: |
Table InputTable: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["Cassiopeia 1", "dIrr", "02h 06m 02.8s", "+68° 59′ 59″", "35", "16.4"], ["NGC 1560", "SA(s)d", "04h 32m 49.1s", "+71° 52′ 59″", "-36 ± 5", "12.2"], ["NGC 1569", "Sbrst", "04h 30m 49.1s", "+64° 50′ 52,6″", "-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:... | more | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["2", "Tami Kiuru", "FIN", "128.5", "130.5", "264.7"], ["1", "Matti Hautamäki", "FIN", "132.0", "131.5", "274.3"], ["11", "Jakub Janda", "CZE", "123.5", "128.5", "252.6"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["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:... | 539 | 128 | Answer: |
Table InputTable: [["Stage", "Date", "Route", "Terrain", "Length", "Winner", "Race leader"], ["2", "1 July", "Caen – Dinan", "Plain stage", "212 km (132 mi)", "Max Bulla (AUT)", "Max Bulla (AUT)"], ["9", "8 July", "Pau – Luchon", "Stage with mountain(s)", "231 km (144 mi)", "Antonin Magne (FRA)", "Antonin Magne (FRA)"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Plain stage | 128 | Answer: |
Table InputTable: [["Name", "Nation", "Position", "League Apps", "League Goals", "FA Cup Apps", "FA Cup Goals", "Total Apps", "Total Goals"], ["Harry Mills", "England", "GK", "34", "0", "1", "0", "35", "0"], ["John Battye", "England", "DF", "22", "0", "0", "0", "22", "0"], ["Harry Yates", "England", "MF", "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:... | Harry Yates | 128 | Answer: |
Table InputTable: [["Year", "Division", "League", "Regular Season", "Playoffs", "Open Cup"], ["2010", "4", "USL PDL", "7th, Heartland", "Did not qualify", "Did not qualify"], ["2007", "4", "USL PDL", "3rd, Heartland", "Did not qualify", "1st Round"], ["2009", "4", "USL PDL", "6th, Heartland", "Did not qualify", "Did 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:... | 2009 | 128 | Answer: |
Table InputTable: [["Place", "Rider", "Country", "Team", "Points", "Wins"], ["16", "Gary Jones", "United States", "Yamaha", "439", "0"], ["15", "Brad Lackey", "United States", "ČZ", "603", "0"], ["17", "John DeSoto", "United States", "Suzuki", "425", "0"], ["14", "Mark Blackwell", "United States", "Husqvarna", "604", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2380 | 128 | Answer: |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["1.", "Neymar", "Santos FC", "86.0", "2013"], ["3.", "Alexis Sánchez", "Udinese", "26+11(add ons)", "2011"], ["2.", "Cesc Fàbregas", "Arsenal", "29+5(variables)", "2011"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["7... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2010 | 128 | Answer: |
Table InputTable: [["Golfer", "Country", "Wins", "Match Play", "Championship", "Invitational", "Champions"], ["Tiger Woods", "United States", "18", "3: 2003, 2004, 2008", "7: 1999, 2002, 2003,\\n2005, 2006, 2007, 2013", "8: 1999, 2000, 2001, 2005,\\n2006, 2007, 2009, 2013", "—"], ["Phil Mickelson", "United States", "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:... | 18 | 128 | Answer: |
Table InputTable: [["Represent", "Candidate", "in Russian", "Age", "Height", "Hometown"], ["Novosibirsk Oblast", "Orianna Kleobova", "Орианна Клеобова", "19", "1.73 m (5 ft 8 in)", "Novosibirsk"], ["Udmurt Republic", "Monica Zaharova", "Моница Захарова", "24", "1.81 m (5 ft 11 1⁄2 in)", "Izhevsk"], ["Chuvash Republic",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 21 | 128 | Answer: |
Table InputTable: [["President", "Became Oldest Living President", "Ceased to Be Oldest Living President", "Age at Start Date", "Age at End Date", "Duration (Years, Days)", "Duration (Days)"], ["George H. W. Bush", "December 26, 2006", "Current oldest living president", "82 years, 197 days", "Current oldest living pres... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lyndon B. Johnson | 128 | Answer: |
Table InputTable: [["Aircraft", "Origin", "Type", "In service", "Notes"], ["Cessna 404 Titan", "USA", "Light transport", "0", "1 in service with the Air Wing from 1991 to 2008"], ["Cessna 421C Golden Eagle", "USA", "Light transport", "0", "1 in service with the Air Wing from 1988 to 2002"], ["Cessna 208 Caravan", "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:... | Italy | 128 | Answer: |
Table InputTable: [["Position", "Player", "Transferred From", "Date"], ["MF", "Mohd Noor Ali", "Geylang United", "1 January 2010"], ["FW", "Laakkad Abdelhadi", "Free Transfer", "1 January 2010"], ["GK", "Fajar Sarib", "Geylang United", "1 January 2010"], ["MF", "Guntur Djafril", "SAFFC", "1 January 2010"], ["DF", "Kazu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rachid Lajane | 128 | Answer: |
Table InputTable: [["Model", "Fuel Type", "mpg (US gallons)", "L/100 km", "NZ Rating\\n(Stars)"], ["Kia Rio 1.5 DIESEL SEDAN MAN", "diesel", "52", "4.5", "5.5"], ["Toyota RAV4 2.2D WAGON 6M L1", "diesel", "35.6", "6.6", "4.5"], ["Kia Rio 1.5 DIESEL HATCH MAN", "diesel", "52", "4.5", "5.5"], ["Mercedes Benz B 200 CDI", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Volkswagen Polo 1.4 TDI BLUEMOTION | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Australia (AUS)", "2", "1", "0", "3"], ["2", "Italy (ITA)", "1", "1", "1", "3"], ["3", "Germany (EUA)", "1", "0", "1", "2"], ["5", "Switzerland (SUI)", "0", "2", "1", "3"], ["7", "Great Britain (GBR)", "0", "0", "1", "1"], ["7", "France ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Switzerland (SUI) | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["10", "Canada", "0", "1", "2", "3"], ["6", "United States", "2", "3", "2", "7"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["7", "Norway", "2", "1", "1", "4"], ["5", "Sweden", "2", "4", "4", "10"], ["3", "Finland", "3", "3", "1", "7"], ["9... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4 | 128 | Answer: |
Table InputTable: [["Team 1", "Agg.", "Team 2", "1st leg", "2nd leg"], ["Celta", "2–1", "Cartagena", "2–0", "0–1"], ["Tenerife", "2–1", "Malgrat", "2–0", "0–1"], ["Sevilla", "4–1", "Sant Andreu", "2–0", "2–1"], ["Levante", "9–2", "Moscardó", "5–0", "4–2"], ["Oviedo", "4–1", "Cultural Leonesa", "2–0", "2–1"], ["Burgos",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Name", "Year", "Name", "Year", "Name"], ["1927-28", "Mr J.Stanbury", "1959-60", "Mr A.P.Scribante", "1992-93", "Mr Gerrie Wolmarans"], ["1905-06", "Mr G. Constable", "1937 -38", "", "1969-70", ""], ["1908-09", "Mr T.R.Ziervogel", "1940-41", "Mr P.Venter", "1972-73", "Mr Ben Steyn"], ["1929-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mr B.Melman, Mr P.Venter, Mrs E.Myer | 128 | Answer: |
Table InputTable: [["Year", "Network", "NASCAR\\nCountdown", "Lap-by-lap", "Color commentator(s)", "Pit reporters", "Ratings", "Viewers"], ["2007", "ESPN", "Brent Musburger\\nSuzy Kolber\\nBrad Daugherty", "Jerry Punch", "Rusty Wallace\\nAndy Petree", "Dave Burns\\nJamie Little\\nAllen Bestwick\\nMike Massaro", "4.2 (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:... | 2008 | 128 | Answer: |
Table InputTable: [["Date", "Label", "Format", "Country", "Catalog", "Notes"], ["1989", "Columbia", "CD", "US", "CK 9942", "Original CD release."], ["1982", "Embassy", "LP", "UK", "EMB 31956", ""], ["November 10, 1969", "Columbia", "LP", "US", "CS 9942", "Original release."], ["January 16, 1970", "CBS", "LP", "UK", "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:... | 34 years | 128 | Answer: |
Table InputTable: [["Date", "Date", "", "Rank", "Tournament name", "Venue", "City", "Winner", "Runner-up", "Score"], ["02–02", "02–09", "ENG", "", "Masters", "Wembley Conference Centre", "London", "Steve Davis", "Ronnie O'Sullivan", "10–8"], ["02–13", "02–22", "SCO", "WR", "International Open", "A.E.C.C.", "Aberdeen", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Stephen Hendry | 128 | Answer: |
Table InputTable: [["Political lieutenant", "District\\n(Area)", "Took Office", "Left Office", "Party leader"], ["Georges-Henri Héon", "Argenteuil\\n(Laurentides)", "1949", "1949", "George A. Drew"], ["Léon Balcer", "Trois-Rivières\\n(Mauricie)", "1957", "1965", "John George Diefenbaker"], ["Marcel Faribault", "none", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Class", "No", "Tyres", "Car", "Team", "Co-Drivers", "Laps", "Pos.", "Class\\nPos."], ["1996", "GT1", "38", "M", "McLaren F1 GTR\\nBMW S70 6.1L V12", "Team Bigazzi SRL", "Steve Soper\\n Marc Duez", "318", "11th", "9th"], ["1993", "GT", "71", "D", "Venturi 500LM\\nRenault PRV 3.0 L Turbo V6",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "Date", "Location", "Winner", "Score\\nJSU", "Score\\nTU", "Series"], ["8", "November 11, 1938", "Jacksonville, AL", "Tied", "6", "6", "TSU 4–3–1"], ["6", "November 10, 1933", "Jacksonville, AL", "Troy State", "7", "18", "Tied 3–3"], ["38", "November 11, 1972", "Jacksonville, AL", "Tied", "14",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 38 | 128 | Answer: |
Table InputTable: [["", "Club", "Played", "Won", "Drawn", "Lost", "Points For", "Points Against", "Points Difference", "Tries For", "Tries Against", "Try Bonus", "Losing Bonus", "Points"], ["11", "Newcastle Falcons", "22", "3", "0", "19", "281", "544", "-263", "23", "62", "2", "8", "22"], ["3", "Leicester Tigers (SF)",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["School", "Season", "Record", "Conference Record", "Place", "Postseason"], ["Illinois", "1914–15", "16–0", "12–0", "T1st", "National Champions"], ["Illinois", "1919–20", "9–4", "8–4", "3rd", ""], ["Illinois", "1912–13", "10–6", "7–6", "5th", ""], ["Illinois", "1916–17", "13–3", "10–2", "T1st", "Big ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1914-15 | 128 | Answer: |
Table InputTable: [["Atomic\\nno.", "Name", "Symbol", "Group", "Period", "Block", "State at\\nSTP", "Occurrence", "Description"], ["12", "Magnesium", "Mg", "2", "3", "s", "Solid", "Primordial", "Alkaline earth metal"], ["87", "Francium", "Fr", "1", "7", "s", "Solid", "Transient", "Alkali metal"], ["118", "(Ununoctium)"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 118 | 128 | Answer: |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["1976", "Real Zaragoza", "Górnik Zabrze", "OFK Belgrade", "Olympiacos FC"], ["1980", "RCD Espanyol", "Real Zaragoza", "Sporting Lisboa", "Partizan Belgrade"], ["1999", "Real Zaragoza", "Feyenoord Rotterdam", "-", "-"], ["1982", "Manchester United... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Olympiacos FC | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["7", "Japan", "0", "0", "2", "2"], ["8", "India", "0", "0", "1", "1"], ["2", "Indonesia", "1", "3", "2", "6"], ["6", "Denmark", "0", "1", "0", "1"], ["4", "Thailand", "1", "0", "0", "1"], ["1", "Malaysia", "3", "0", "1", "4"], ["3", "Korea", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Indonesia | 128 | Answer: |
Table InputTable: [["Client", "Years of Operation", "Area of Operation", "Country", "Services"], ["SOC", "2000-current", "SOC fields", "Libya", "Drilling"], ["Total", "1999-current", "El Mabrouk", "Libya", "Drilling"], ["OMV", "1997", "Field 103", "Libya", "Drilling, workover"], ["Lasmo", "1993-94", "Wadi Borjuj", "Lib... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Number", "Name", "Type", "Livery", "Status", "Notes"], ["33102", "Sophie (Unofficial)", "Class 33", "Blue", "Operational", "built in 1960. Launched Sep 2012 - restoration still being completed although the loco is now in service"], ["47524", "", "Class 47", "Rail Express Systems", "Under restoratio... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Designer(s)", "Brief description", "Selected by:", "Associated publication"], ["2010", "Vivienne Westwood", "Green ribbed shot-silk deconstructed dress", "Stephen Jones", ""], ["1997", "Female: Hussein Chalayan\\nFemale: Julien MacDonald\\nFemale: Lainey Keogh\\nFemale: Deborah Milner\\nPhi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sarah Burton | 128 | Answer: |
Table InputTable: [["Stage", "Date", "Route", "Terrain", "Length", "Winner", "Race leader"], ["9", "8 July", "Pau – Luchon", "Stage with mountain(s)", "231 km (144 mi)", "Antonin Magne (FRA)", "Antonin Magne (FRA)"], ["20", "22 July", "Belfort – Colmar", "Stage with mountain(s)", "209 km (130 mi)", "André Leducq (FRA)"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rafaele di Paco | 128 | Answer: |
Table InputTable: [["Hand", "Auto", "Wind", "Athlete", "Nationality", "Birthdate", "Location", "Date"], ["", "10.87", "", "Eddie Hart", "United States", "24.04.1949", "Eugene", "03.08.1989"], ["10.7", "", "", "Walt Butler", "United States", "21.03.1941", "Northridge", "16.05.1981"], ["10.7", "", "", "Thane Baker", "Uni... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Thaddeus Bell, Gilles Echevin, Klaus Jürgen Schneider, Walt Butler, Thane Baker, George McNeill, Karl Heinz Schröder | 128 | Answer: |
Table InputTable: [["Event", "Record", "Athlete", "Date", "Meet", "Place"], ["Decathlon", "10.2 (+0.1 m/s) (100 m), 7.72 m (+1.3 m/s) (long jump), 12.55 m (shot put), 1.74 m (high jump), 46.33 (400 m) /\\n15.73 (0.0 m/s) (110 m hurdles), 38.32 m (discus), 4.40 m (pole vault), 57.28 m (javelin), 4:52.35 (1500 m)", "10.2... | 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:... | 63.44 | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air date", "Rating", "Share", "18-49 (Rating/Share)", "Viewers (m)", "Rank (night)", "Rank (timeslot)", "Rank (overall)"], ["3", "\"Blind Dates and Bleeding Hearts\"", "October 26, 2007", "6.1", "11", "1.9/6", "8.90", "#1", "#1", "#41"], ["7", "\"The Past Comes Back to Haunt You\"",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Welcome to the Club", "Train In Vain", "Grannies, Guns, Love Mints", "Maybe, Baby" | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["5", "North Korea", "1", "0", "1", "2"], ["6", "South Korea", "0", "0", "2", "2"], ["4", "Kazakhstan", "2", "2", "0", "4"], ["1", "China", "13", "9", "13", "35"], ["2", "Japan", "7", "10", "7", "24"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | 128 | Answer: |
Table InputTable: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Melisa Popanicić", "16", "175 cm (5 ft 9 in)", "Wörgl", "2nd Eliminated in Episode 10"], ["Dzejlana \"Lana\" Baltić", "20", "179 cm (5 ft 10.5 in)", "Graz (originally from Bosnia)", "1st Eliminated in Episode 10"], ["Nadine Trinker", "21", "183 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Isabelle Raisa | 128 | Answer: |
Table InputTable: [["No.", "Date", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["2.", "April 4, 2011", "Chile F2", "Clay", "Sergio Galdós", "Guillermo Hormazábal\\n Rodrigo Pérez", "5–7, 7–6(5), [10–5]"], ["1.", "September 13, 2010", "Ecuador F2", "Hard", "Roberto Quiroz", "Peter Aarts\\n ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Clay | 128 | Answer: |
Table InputTable: [["Episode no.", "Airdate", "Viewers", "BBC Three weekly ranking", "Multichannels rank"], ["6", "30 May 2013", "1,094,000", "1", "3"], ["5", "23 May 2013", "1,092,000", "1", "5"], ["7", "6 June 2013", "975,000", "2", "6"], ["8", "13 June 2013", "840,000", "5", "19"], ["9", "20 June 2013", "1,204,000",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["#", "Weekend End Date", "Film", "Box Office"], ["30", "July 26, 1998", "Godzilla", "£2,145,088"], ["9", "March 1, 1998", "Titanic", "£3,403,199"], ["18", "May 3, 1998", "Scream 2", "£2,493,950"], ["15", "April 12, 1998", "Titanic", "£1,373,363"], ["37", "September 13, 1998", "Saving Private Ryan", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Titanic | 128 | Answer: |
Table InputTable: [["Event", "Class", "Gold", "Silver", "Bronze"], ["Super-G", "LW2\\ndetails", "Michael Milton\\nAustralia (AUS)", "Christian Lanthaler\\nItaly (ITA)", "Florian Planker\\nItaly (ITA)"], ["Giant slalom", "LW11\\ndetails", "Harald Eder\\nAustria (AUT)", "Juergen Egle\\nAustria (AUT)", "Andreas Schiestl\\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Year", "Organization", "Award", "Work", "Result"], ["2010", "Nikkan Sports Grand Prix (Fall)", "Best Supporting Actress", "Veterinarian Dolittle", "Nominated"], ["2007", "10th Nikkan Sports Drama Grand Prix", "Best Actress", "Hana Yori Dango 2", "Won"], ["2012", "16th Nikkan Sport Grand Prix", "Bes... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Name", "Nationality", "Time", "Notes", "Points"], ["4", "Mario Scapini", "Italy", "1:47.20", "PB", "9"], ["8", "Robin Schembera", "Germany", "1:47.79", "", "5"], ["11", "António Rodrigues", "Portugal", "1:50.45", "", "2"], ["1", "Adam Kszczot", "Poland", "1:46.50", "", "12"], ["12", "Milan ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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:... | Ajax | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["1997", "USA Outdoor Championships", "Indianapolis, United States", "1st", "100 m hurdles"], ["2002", "USA Indoor Championships", "", "1st", "60 m hurdles"], ["1998", "USA Indoor Championships", "", "1st", "60 m hurdles"], ["1997", "World Indoor... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["4", "United States", "27", "22", "39", "88"], ["5", "Australia", "26", "38", "36", "100"], ["1", "China", "63", "46", "32", "141"], ["8", "Germany", "19", "28", "31", "78"], ["2", "Great Britain", "35", "30", "29", "94"], ["10", "Japan", "17"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 88 | 128 | Answer: |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["4", "September 27, 1998", "FOX 10:00 am MT", "at St. Louis Rams", "W 20–17", "55,832"], ["3", "September 20, 1998", "ESPN 5:15 pm MT", "Philadelphia Eagles", "W 17–3", "39,782"], ["10", "November 8, 1998", "FOX 2:15 pm MT", "Washingto... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Series", "Name", "Age", "Hometown", "Occupation", "Status"], ["BB6", "Anthony Hutton", "23", "Newcastle", "70s Dancer", "1st - Winner"], ["BB2", "Brian Dowling", "22", "County Kildare", "Air Steward", "1st - Winner"], ["BB9", "Mikey (Michael) Hughes", "33", "Glasgow", "Radio Producer", "2nd - Runne... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Brian Dowling, Cameron Stout | 128 | Answer: |
Table InputTable: [["Year", "Total\\npassengers", "Passenger\\nChange", "Domestic", "International\\n(total)", "International\\n(non-CIS)", "CIS", "Aircraft\\nLandings", "Cargo\\n(tonnes)"], ["2002", "1 182 815", "+15,0%", "793 295", "389 520", "239 461", "150 059", "10 162", "20 153"], ["2004", "1 553 628", "+16,3%", ... | 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:... | 2007 | 128 | Answer: |
Table InputTable: [["Character", "Real name", "Home world", "Membership notes", "Powers"], ["Green Lantern", "Rond Vidar", "Earth", "Pre-Crisis version first appeared in Adventure Comics #349 (October 1966); granted honorary membership in Adventure Comics #360 (September 1967).\\nLast remaining member of the Green Lant... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Final Crisis: Legion of 3 Worlds #2 | 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"], ["9", "Vihorlat", "Presov", "Presov Preserved areas", "2578 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:... | Jasmund | 128 | Answer: |
Table InputTable: [["Team", "City", "Years active", "Seasons played", "Win–loss record", "Win%", "Playoffs appearances"], ["Indianapolis Jets", "Indianapolis, Indiana", "1948–1949", "1", "18–42", ".300", "0"], ["Denver Nuggets", "Denver, Colorado", "1949–1950", "1", "11–51", ".177", "0"], ["Detroit Falcons", "Detroit, ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 21 | 128 | Answer: |
Table InputTable: [["Year", "Total\\npassengers", "Passenger\\nChange", "Domestic", "International\\n(total)", "International\\n(non-CIS)", "CIS", "Aircraft\\nLandings", "Cargo\\n(tonnes)"], ["2007", "2 345 097", "+32,9%", "1 486 888", "858 209", "683 092", "175 117", "16 767", "16 965"], ["2006", "1 764 948", "+12,7%"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 858 209 | 128 | Answer: |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["2014", "1 Dec 2013", "Beaver Creek, USA", "Giant slalom", "3rd"], ["2014", "22 Dec 2013", "Val-d'Isère, France", "Giant slalom", "1st"], ["2014", "7 Dec 2013", "Lake Louise, Canada", "Downhill", "2nd"], ["2014", "25 Jan 2014", "Cortina d'Ampezz... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2012 | 128 | Answer: |
Table InputTable: [["Network name", "Flagship", "Programming type", "Owner", "Affiliates"], ["Galavisión", "XEQ 9", "retro programming and sports", "Televisa", "1"], ["TV 10 Chiapas", "XHTTG", "educational", "Gobierno del Estado de Chiapas", "7"], ["Canal 5", "XHGC 5", "cartoons, movies, and series", "Televisa", "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:... | TV 10 Chiapas | 128 | Answer: |
Table InputTable: [["Iteration", "Year", "Dates", "Location", "Theme"], ["5th", "1988", "14 August-24 August", "Townsville, Australia", "\"Cultural interchange\""], ["3rd", "1980", "30 June-12 July", "Port Moresby, Papua New Guinea", "\"Pacific awareness\""], ["1st", "1972", "6 May-20 May", "Suva, Fiji", "\"Preserving ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Rarotonga, Cook Islands | 128 | Answer: |
Table InputTable: [["Title", "Year", "Peak chart positions\\nUS", "Peak chart positions\\nUS Dance", "Peak chart positions\\nUS Pop", "Peak chart positions\\nUS R&B", "Peak chart positions\\nGER", "Peak chart positions\\nNL", "Peak chart positions\\nNOR", "Peak chart positions\\nNZ", "Peak chart positions\\nSWI", "Peak... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | 128 | Answer: |
Table InputTable: [["Season", "Winning Team", "Score", "Losing Team", "Score", "Location", "Stadium"], ["1998–99", "Denver Broncos (6)", "23", "New York Jets", "10", "Denver, Colorado", "Mile High Stadium"], ["1999–00", "Tennessee Titans (1)", "33", "Jacksonville Jaguars", "14", "Jacksonville, Florida", "Jacksonville M... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Denver Broncos | 128 | Answer: |
Table InputTable: [["Cellulose ethers", "Reagent", "Example", "Reagent", "Group R = H or", "Water solubility", "Application", "E number"], ["", "", "Ethyl methyl cellulose", "Chloromethane and chloroethane", "-CH3 or -CH2CH3", "", "", "E465"], ["", "", "Hydroxypropyl cellulose (HPC)", "Propylene oxide", "-CH2CH(OH)CH3"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hydroxyalkyl | 128 | Answer: |
Table InputTable: [["Place", "Code", "Area (km2)", "Population", "Most spoken language"], ["Remainder of the municipality", "91106", "2,944.04", "10,463", "Northern Sotho"], ["Bochum", "91102", "11.64", "4,142", "Northern Sotho"], ["Manthata", "91105", "12.24", "22,121", "Northern Sotho"], ["Dendron", "91103", "2.98", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["4", "6", "Jochen Rindt", "Cooper-Maserati", "46", "+ 2 laps", "5", "3"], ["Ret", "2", "Pedro Rodríguez", "Lotus-Climax", "40", "Oil Leak", "13", ""], ["2", "22", "Mike Parkes", "Ferrari", "48", "+ 9.5", "3", "6"], ["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:... | Denny Hulme | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Korea", "1", "1", "2", "4"], ["2", "Indonesia", "1", "3", "2", "6"], ["1", "Malaysia", "3", "0", "1", "4"], ["7", "Japan", "0", "0", "2", "2"], ["4", "Thailand", "1", "0", "0", "1"], ["8", "India", "0", "0", "1", "1"], ["5", "Chinese Tai... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Thailand | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["21 November 1992", "Manchester United", "A", "0–3", "33,497", ""], ["26 September 1992", "Blackburn Rovers", "A", "0–2", "18,393", ""], ["5 September 1992", "Coventry City", "H", "0–1", "11,254", ""], ["9 March 1993", "Manchester Uni... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Rank", "Mountain Peak", "Nation", "Province", "Elevation", "Prominence", "Isolation"], ["8", "Montañas Peña Blanca High Point PB", "Guatemala", "Huehuetenango", "3518 m\\n11,542 ft", "1858 m\\n6,096 ft", "42 km\\n26 mi"], ["3", "Montaña de Santa Bárbara PB", "Honduras", "Santa Bárbara", "2744 m\\n9... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Cellulose ethers", "Reagent", "Example", "Reagent", "Group R = H or", "Water solubility", "Application", "E number"], ["Hydroxyalkyl", "Epoxides", "Hydroxyethyl cellulose", "Ethylene oxide", "-CH2CH2OH", "Cold/hot water soluble", "Gelling and thickening agent", ""], ["", "", "Ethyl hydroxyethyl cel... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hydroxyalkyl | 128 | Answer: |
Table InputTable: [["Series", "Name", "Age", "Hometown", "Occupation", "Status"], ["BB1", "Anna Nolan", "29", "Dublin", "Office Manager", "2nd - Runner-up"], ["BB9", "Alexandra De-Gale", "23", "Surrey", "Accounts Clerk", "20th - Ejected"], ["BB5", "Emma Greenwood", "20", "Manchester", "Administrative Assistant", "12th ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Darren Ramsay | 128 | Answer: |
Table InputTable: [["Party", "Candidate", "Votes", "%", "±%"], ["Independent", "Robert Goodall", "333", "0.7", "+0.5"], ["Liberal Democrat", "Jeremy Beckett", "7,922", "15.7", "-1.8"], ["UKIP", "Stuart Bavester", "672", "1.3", "+0.5"], ["Turnout", "Turnout", "50,589", "67.8", "-10.5"], ["Conservative", "Patrick McLough... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 333 | 128 | Answer: |
Table InputTable: [["Binary", "Octal", "Decimal", "Hexadecimal", "Glyph"], ["0011 0100", "064", "52", "34", "4"], ["0011 0010", "062", "50", "32", "2"], ["0011 0001", "061", "49", "31", "1"], ["0011 0110", "066", "54", "36", "6"], ["0011 0000", "060", "48", "30", "0"], ["0011 0111", "067", "55", "37", "7"], ["0011 0011... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Grp", "Race Name", "Age", "Sex", "Weight", "Distance", "Date"], ["2", "Warwick Stakes", "Open", "Open", "wfa", "1400", "August"], ["2", "AJC Challenge Stakes", "Open", "Open", "wfa", "1000", "March"], ["3", "Silver Shadow Stakes", "3YO", "Fillies", "swp", "1200", "August"], ["3", "Liverpool City Cu... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | 128 | Answer: |
Table InputTable: [["#", "Player", "Goals", "Caps", "Career"], ["5", "Joe-Max Moore", "24", "100", "1992–2002"], ["1", "Landon Donovan", "57", "155", "2000–present"], ["9T", "Earnie Stewart", "17", "101", "1990–2004"], ["8", "Eddie Johnson", "19", "62", "2004–present"], ["2", "Clint Dempsey", "36", "103", "2004–present... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bruce Murray | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["7", "Egypt", "0", "1", "7", "8"], ["3", "Yugoslavia", "3", "2", "1", "6"], ["2", "Greece", "6", "7", "6", "19"], ["8", "Tunisia", "0", "1", "0", "1"], ["1", "France", "11", "5", "3", "19"], ["Totaal", "Totaal", "23", "23", "22", "68"], ["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:... | 23 | 128 | Answer: |
Table InputTable: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["4", "Dr Salim Mehmud", "1980", "1989", "Oak Ridge Institute for Science and Education and Oak Ridge National Laboratory", "Nuclear Engineering, Electrical engineering, Physics, Mathematics, Electro... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dr M. Shafi Ahmad | 128 | Answer: |
Table InputTable: [["Thread\\nnominal size", "Outer diameter\\n[mm (in)]", "Threads per inch\\n(TPI)", "Pitch\\n[in (mm)]", "Inner diameter\\n[mm (in)]", "Cable diameter\\n[mm (in)]"], ["PG16", "22.5 (0.886)", "18", "0.05556 (1.4112)", "21.16 (0.833)", "10 to 14 (0.394 to 0.551)"], ["PG21", "28.3 (1.114)", "16", "0.062... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Date", "Location", "Opponent", "Result", "Competition"], ["July 8, 2013", "Harrison, United States", "Honduras", "0–2", "GC"], ["July 12, 2013", "Miami Gardens, United States", "Trinidad and Tobago", "2-0", "GC"], ["July 15, 2013", "Houston, United States", "El Salvador", "0-1", "GC"], ["March 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:... | 3 | 128 | Answer: |
Table InputTable: [["Source", "Date", "Population\\nRomania", "Population\\nSerbia", "Notes"], ["Karol Telbizov", "1940", "12,000", "", "Romanian Banat only; estimated"], ["Romanian census", "1939", "9,951", "", "Romanian Banat only"], ["Romanian census", "1930", "10,012", "", "Romanian Banat only"], ["Mihail Georgiev"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12,000 | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["T10", "Vijay Singh", "Fiji", "70-71-72-72=285", "+5", "44,184"], ["T4", "Bill Glasson", "United States", "69-70-76-69=284", "+4", "66,633"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["T4", "Jeff Mag... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | more | 128 | Answer: |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Jamie Cureton", "20", "0", "0", "0", "20"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["Danny Coles", "3", "0", "0", "0", "3"], ["Scot Bennett", "5", "0", "0", "0", "5"], ["Arron Davies", "3", "0", "0", "0", "3"], ["OWN GOALS", "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:... | John O'Flynn | 128 | Answer: |
Table InputTable: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Daddy", "1991-92", "2", "Loup Durand", "Cl. Lefrancq", ""], ["Ivan Zourine", "1979", "2", "Jacques Stoquart", "Magic-Strip", ""], ["Ikar", "1995–1997", "2", "Pierre Makyo", "Glénat", ""], ["Marshall Blueberry", "1994", "1", "Jean Giraud... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Loup Durand | 128 | Answer: |
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