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: [["Olympics", "Athlete", "Judge (Official)", "Coach", "Language"], ["1996 Summer Olympics", "Teresa Edwards", "Hobie Billingsley", "-", "English"], ["1984 Summer Olympics", "Edwin Moses", "Sharon Weber", "-", "English"], ["1988 Winter Olympics", "Pierre Harvey", "Suzanna Morrow-Francis", "-", "English... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kenji Ogiwara | 128 | Answer: |
Table InputTable: [["Place", "Code", "Area (km2)", "Population", "Most spoken language"], ["Sekhokho", "91109", "1.24", "1,852", "Northern Sotho"], ["Bochum", "91102", "11.64", "4,142", "Northern Sotho"], ["Sekgosese", "91108", "349.99", "46,749", "Northern Sotho"], ["Ga-Ramokgopha", "91104", "11.22", "15,806", "Northe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2290 | 128 | Answer: |
Table InputTable: [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["2", "Alexandr Kolobnev (RUS)", "Team CSC Saxo Bank", "s.t.", "30"], ["6", "Denis Menchov (RUS)", "Rabobank", "s.t.", "11"], ["1", "Alejandro Valverde (ESP)", "Caisse d'Epargne", "5h 29' 10\"", "40"], ["8", "Stéphane Goubert (FRA)", "Ag2r-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alejandro Valverde (ESP) | 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"], ["M4x\\nQuad sculls", "5:33.15", "Vladislav Ryabcev\\nAlexey Svirin\\nNikita Morgachev\\nSergei Fedorovtse... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Canada | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Country", "Athletes", "Time", "Deficit"], ["7", "4", "South Korea", "Lee Seung-hoon\\nJoo Hyong-jun\\nKo Byung-wook", "3:47.18", "+5.75"], ["", "3", "Netherlands", "Sven Kramer\\nKoen Verweij\\nJan Blokhuijsen", "3:41.43", ""], ["8", "2", "Poland", "Zbigniew Bródka\\nKonrad Niedźwie... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Poland | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["2000", "Olympic Games", "Sydney, Australia", "3rd", "100 m hurdles"], ["2003", "World Indoor Championships", "Birmingham, England", "3rd", "60 m hurdles"], ["2004", "Olympic Games", "Athens, Greece", "3rd", "100 m hurdles"], ["2003", "World Ath... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Client", "Years of Operation", "Area of Operation", "Country", "Services"], ["Lasmo", "1993-94", "Wadi Borjuj", "Libya", "Drilling, workover"], ["Khalda/Repsol", "1998-99", "West Desert", "Egypt", "Drilling"], ["Marathon", "1998", "Manzala field", "Egypt", "Drilling"], ["OMV", "1997", "Field 103", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1994 | 128 | Answer: |
Table InputTable: [["№", "#", "Title", "Directed by", "Written by", "Original air date", "Production\\ncode"], ["20", "20", "\"Spring Training\"", "Burt Brinckerhoff", "Charles Rosin", "April 25, 1991", "2190019"], ["14", "14", "\"East Side Story\"", "Dan Attias", "Charles Rosin", "February 14, 1991", "2190013"], ["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:... | Home Again | 128 | Answer: |
Table InputTable: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["T4", "Jeff Maggert", "United States", "69-72-77-66=284", "+4", "66,633"], ["3", "Tom Lehman", "United States", "70-72-67-74=283", "+3", "131,974"], ["T10", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Language", "2001 census[1]\\n(total population 1,004.59 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", ""], ["", "Speakers", "Speakers", "Percentage", ""], ["Kurukh", "1,751,489", "0.17%", "1,426,618... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["Name", "Route number(s)", "Length (mi)", "Location", "Notes"], ["Wilbur Cross Highway", "*", "8.0", "Sturbridge", "I-84 in Massachusetts is designated the Wilbur Cross Highway. It runs 8 miles (13 km) from the Connecticut state border to the Mass Pike at Exit 9."], ["Pilgrims Highway", "", "42.5", ... | 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:... | 138.1 | 128 | Answer: |
Table InputTable: [["Series", "Premiere", "Finale", "Winner", "Runner-up", "Third place", "Host(s)", "Judging panel", "Guest judge(s)"], ["Six", "24 March 2012", "12 May 2012", "Ashleigh and Pudsey", "Jonathan and Charlotte", "Only Boys Aloud", "Ant & Dec", "Simon Cowell\\nAmanda Holden\\nAlesha Dixon\\nDavid Walliams"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Heywood H. Davis", "1958", "1959", "Kansas (1958)", "none"], ["William C. Canby, Jr.", "1958", "1959", "Minnesota (1956)", "none"], ["Jerome B. Libin", "1959", "1960", "Michigan (1959)", "none"], ["Kenneth W. Dam", "1957", "19... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["#", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["2.", "27 March 1999", "Mestalla, Valencia, Spain", "Austria", "5–0", "9–0", "Euro 2000 qualifying"], ["1.", "27 March 1999", "Mestalla, Valencia, Spain", "Austria", "3–0", "9–0", "Euro 2000 qualifying"], ["3.", "31 March 1999", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Cyprus | 128 | Answer: |
Table InputTable: [["ZOOM", "Cast Member 1", "Cast Member 2", "Cast Member 3", "Cast Member 4", "Cast Member 5", "Cast Member 6", "Cast Member 7"], ["Season 3 (2001)", "Frances Domond", "Kenneth \"Kenny\" Yates", "Rachel Redd", "Eric Rollins", "Kaleigh Cronin", "Kevin \"Buzz\" Barrette", "Caroline Botelho"], ["Season 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:... | Kevin "Buzz" Barrette | 128 | Answer: |
Table InputTable: [["Year", "Organization", "Award", "Work", "Result"], ["2007", "54th The Television Academy Drama Awards", "Best Actress", "First Kiss", "Nominated"], ["2012", "35th Japan Academy Awards", "Best Starring Actress", "Youkame no Semi", "Won"], ["2012", "Japan Film Festival Theater Staff", "Best Actress",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kiss | 128 | Answer: |
Table InputTable: [["District\\nbalance\\n[clarification needed]", "Area\\nkm2", "Area\\nsq mi", "Pop.\\n1998", "Pop.\\n2008", "Pop./km²\\n2008"], ["Blue Hill", "36.5", "14.1", "177", "153", "4.2"], ["Sandy Bay", "15.3", "5.9", "254", "205", "13.4"], ["Levelwood", "14.0", "5.4", "376", "316", "22.6"], ["Total", "121.7"... | 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:... | 153 | 128 | Answer: |
Table InputTable: [["Name", "Sport", "Event", "Placing", "Performance"], ["Shaul Ladani", "Athletics", "Men's 50 km walk", "19", "4:24:38.6\\n(also entered for 20 km walk, but did not start)"], ["Eliezer Halfin", "Wrestling", "Freestyle — Lightweight <68 kg", "Group stage", "1W–2L"], ["Gad Tsobari", "Wrestling", "Frees... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 19 | 128 | Answer: |
Table InputTable: [["Name", "Date time (UT)", "Local time zone", "Location", "Elevation + height", "Delivery", "Purpose", "Yield", "Venting", "Notes"], ["Canna-Limoges - 2", "17 November 1972 18:00:00.16", "PST (-8 hrs)", "NTS Area U9itsyz26 37°08′22″N 116°02′00″W / 37.13953°N 116.03324°W", "1,273 m (4,177 ft) +", "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:... | Atarque | 128 | Answer: |
Table InputTable: [["Year", "Single", "Chart Positions\\nUS Country", "Chart Positions\\nUS", "Album"], ["1965", "\"That Ain't All\"", "20", "—", "singles only"], ["1963", "\"Bad News\" (b/w \"Guitar Player(Her and Him)\")", "23", "—", "singles only"], ["1964", "\"Th' Wife\"", "45", "—", "singles only"], ["1966", "\"Yo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Odd Folks of Okracoke" | 128 | Answer: |
Table InputTable: [["Year", "Team Record\\nW", "Team Record\\nL", "Playoffs"], ["2001", "7", "2", "3rd Qualifier, Region 2"], ["2003", "8", "1", "2nd Qualifier, Region 2"], ["2005", "3", "5", "Did Not Make Playoffs"], ["2002", "8", "1", "2nd Qualifier, Region 2"], ["2009", "5", "5", "Did Not Make Playoffs"], ["2007", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 23 | 128 | Answer: |
Table InputTable: [["Golfer", "Country", "Wins", "Match Play", "Championship", "Invitational", "Champions"], ["Ernie Els", "South Africa", "2", "—", "2: 2004, 2010", "—", "—"], ["Phil Mickelson", "United States", "2", "—", "1: 2009", "—", "1: 2009"], ["Tiger Woods", "United States", "18", "3: 2003, 2004, 2008", "7: 199... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["#", "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"], ["4", "Maramoros", "Zakarpattia", "Carpathian Biosphere Reserv... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Tier", "League", "Pos.", "Postseason", "German Cup", "European competitions"], ["1991–92", "1", "Bundesliga", "2", "Semifinalist", "Champion", "–"], ["2003–04", "1", "Bundesliga", "2", "Finalist", "–", "3 Played FIBA Europe League"], ["2006–07", "1", "Bundesliga", "1", "Champion", "–", "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:... | 4 | 128 | Answer: |
Table InputTable: [["No.", "Date/time", "Aircraft", "Foe", "Result", "Location", "Notes"], ["1", "4 December 1916 @ 1100 hours", "Nieuport serial number 3958", "Albatros D.I", "Driven down out of control", "Northeast of Bapaume, France", "Victory shared with another pilot"], ["8", "28 July 1917 @ 1735 hours", "Sopwith ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 28 July 1917 @ 1735 hours | 128 | Answer: |
Table InputTable: [["DATE", "OPPONENT", "SCORE", "TOP SCORER (Total points)", "VENUE"], ["March 9", "SHELL", "65-58", "", "PHILSPORTS ARENA"], ["June 15", "BRGY.GINEBRA", "111-98", "", "PHILSPORTS ARENA"], ["February 16", "ALASKA", "73-72", "Davonn Harp (20)", "PHILSPORTS ARENA"], ["July 13", "TANDUAY", "104-98", "", "... | 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:... | 53 | 128 | Answer: |
Table InputTable: [["No", "Driver", "Entrant", "Constructor", "Chassis", "Engine"], ["22", "Mario Tadini", "Scuderia Ferrari", "Alfa Romeo", "Alfa Romeo 6C 1750GS", "1.8 L6"], ["8", "Pietro Nicolotti", "Private entry", "Alfa Romeo", "Alfa Romeo 6C 1500", "1.5 L6"], ["18", "Giuseppe Campari", "Scuderia Ferrari", "Alfa R... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Common name", "District", "Hebrew", "Arabic", "Population\\n(2009)", "Area\\n(km²)", "Mayor"], ["Kiryat Motzkin", "Haifa", "קריית מוצקין", "كريات موتسكين", "38,000", "3.778", "Haim Zuri"], ["Tira", "Center", "טירה", "الطيرة", "22,600", "11.894", "Mamoun Abd al-Hay"], ["Tayibe", "Center", "טייבה", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1484900 | 128 | Answer: |
Table InputTable: [["Ship", "Hull No.", "Status", "Years Active", "NVR\\nPage"], ["Leroy Grumman", "T-AO-195", "Active", "1989–present", "AO195"], ["John Ericsson", "T-AO-194", "Active", "1991–present", "AO194"], ["Big Horn", "T-AO-198", "Active", "1992–present", "AO198"], ["Andrew J. Higgins", "T-AO-190", "Inactivated... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Date", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["August 30", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 2, Home", "Käerjeng", "Stade Maurice Dufrasne, Liège", "1-0"], ["August 16", "Standard Liège", "UEFA Cup", "Qual. Round 2", "Leg 1, Away", "Käerjeng", "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:... | 5 | 128 | Answer: |
Table InputTable: [["Goal", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["6", "2012-2-29", "Tsirion Stadium, Limassol, Cyprus", "Canada", "1-1", "1-3", "Friendly match"], ["7", "2012-2-29", "Tsirion Stadium, Limassol, Cyprus", "Canada", "1-2", "1-3", "Friendly match"], ["3", "2011-6-4", "Petrovsky 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:... | 7 | 128 | Answer: |
Table InputTable: [["Single / EP", "Tracks", "Label", "Year", "Album"], ["Hot & Cold", "Overdose", "Burn The Fire", "2010", "—"], ["Doin' It Right", "Doin' It Right", "Burn The Fire", "2009", "—"], ["2012 – Remix Contest EP", "2012 (Remastered)", "Burn The Fire", "2012", "The Agenda"], ["Los Angeles", "Los Angeles\\nLo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Tier", "Division", "Place"], ["1992/93", "3", "2ªB", "4th"], ["1990/91", "3", "2ªB", "6th"], ["1998/99", "4", "3ª", "6th"], ["1995/96", "3", "2ªB", "19th"], ["1991/92", "3", "2ªB", "12th"], ["1996/97", "4", "3ª", "2nd"], ["1988/89", "4", "3ª", "3rd"], ["1994/95", "3", "2ªB", "9th"], ["199... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Once | 128 | Answer: |
Table InputTable: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["164 km/h (102 mph)", "1904-05-09", "UK", "GWR 3700 Class 3440 City of Truro", "Loc", "Steam", "Unmod.", "Claimed[by whom?] to be the first steam locomotive to reach100 mph (161 km/h).[citation needed]"], ["182.4 km/h (113 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Team", "City", "Years active", "Seasons played", "Win–loss record", "Win%", "Playoffs appearances"], ["Indianapolis Jets", "Indianapolis, Indiana", "1948–1949", "1", "18–42", ".300", "0"], ["Detroit Falcons", "Detroit, Michigan", "1946–1947", "1", "20–40", ".333", "0"], ["Waterloo Hawks", "Waterloo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Contestant", "Age", "Height", "Home City", "Rank"], ["Isabelle Raisa", "16", "170 cm (5 ft 7 in)", "Vienna", "Eliminated in Episode 1"], ["Gina Zeneb Adamu", "17", "175 cm (5 ft 9 in)", "Bad Vöslau", "Runner-Up"], ["Sabrina Angelika Rauch †", "21", "175 cm (5 ft 9 in)", "Graz", "Eliminated in Episo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 170 cm (5 ft 7 in) | 128 | Answer: |
Table InputTable: [["Iteration", "Year", "Dates", "Location", "Theme"], ["1st", "1972", "6 May-20 May", "Suva, Fiji", "\"Preserving culture\""], ["2nd", "1976", "6 March-13 March", "Rotorua, New Zealand", "\"Sharing culture\""], ["9th", "2004", "22 July-31 July", "Koror, Palau", "\"Nurture, Regenerate, Celebrate\""], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Santo Domingo", "Yisney Lina Lagrange Méndez", "19", "1.82", "Pedro Brand"], ["Distrito Nacional", "Aimeé Elaine Melo Hernández", "23", "1.73", "Santo Domingo"], ["Barahona", "Lucía Magdalena Alvarado Suarez", "20", "1.71", "Santo Domingo"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Class", "No", "Tyres", "Car", "Team", "Co-Drivers", "Laps", "Pos.", "Class\\nPos."], ["1990", "C1", "6", "G", "Porsche 962C\\nPorsche Type-935 3.0L Turbo Flat-6", "Joest Porsche Racing", "Henri Pescarolo\\n Jean-Louis Ricci", "328", "14th", "14th"], ["1994", "GT2", "49", "P", "Porsche 911 C... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1990 | 128 | Answer: |
Table InputTable: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2008", "Matt Jordan", "Nevio Pizzolitto", "Joey Gjertsen", "Stefano Pesoli"], ["2011", "Hassoun Camara", "Evan Bush", "Simon Gatti", "Ian Westlake / Sinisa Ubiparipovic"], ["2010", "Philippe Billy", "Philippe Bi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mauro Biello | 128 | Answer: |
Table InputTable: [["Olympics", "Athlete", "Judge (Official)", "Coach", "Language"], ["1976 Winter Olympics", "Werner Delle Karth", "Willy Köstinger", "-", "German"], ["1994 Winter Olympics", "Vegard Ulvang", "Kari Kåring", "-", "English (Ulvang)/Norwegian (Kåring)"], ["1972 Summer Olympics", "Heidi Schüller", "Heinz P... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1964 | 128 | Answer: |
Table InputTable: [["Tablet", "Genealogy", "Narrative", "Colophon"], ["3", "Adam to Noah 5:1 - 32", "6:1 - 8", "\"This is the account of Noah.\" 6:9"], ["4", "Noah to Shem, Ham, and Japeth 6:9 - 10", "6:11 to 9:29", "\"This is the account of Shem, Ham, and Japheth, Noah's sons.\" 10:1"], ["11", "Descendants of Esau 36:... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Noah | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Score", "Result", "Location"], ["March 6, 1964", "Michigan State", "9–4", "Win", "East Lansing, MI"], ["March 7, 1964", "Michigan State", "13–4", "Win", "Coliseum, Ann Arbor, MI"], ["March 12, 1964", "Michigan Tech", "4–3", "Win", "Coliseum, Ann Arbor, MI"], ["Feb. 14, 1964", "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:... | 1964 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["1987", "Venice Marathon", "Venice, Italy", "1st", "Marathon", "2:10:01"], ["1986", "Venice Marathon", "Venice, Italy", "1st", "Marathon", "2:18:44"], ["1987", "World Championships", "Rome, Italy", "13th", "Marathon", "2:17:45"], ["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:... | Venice, Italy | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Malaysia", "3", "0", "1", "4"], ["2", "Indonesia", "1", "3", "2", "6"], ["8", "India", "0", "0", "1", "1"], ["3", "Korea", "1", "1", "2", "4"], ["7", "Japan", "0", "0", "2", "2"], ["4", "Thailand", "1", "0", "0", "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:... | Indonesia | 128 | Answer: |
Table InputTable: [["Model", "Fuel Type", "mpg (US gallons)", "L/100 km", "NZ Rating\\n(Stars)"], ["Citroen C3 1.6 5DR 5SPD", "petrol", "36.2", "6.5", "4.5"], ["Suzuki Swift GLXH2 1.5 5DR", "petrol", "37.3", "6.3", "4.5"], ["Citroen C4 2.0 SX 5DR 6SP A D", "diesel", "37.3", "6.3", "4.5"], ["Suzuki SX4 GLXH2 1.6 5DR", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | diesel | 128 | Answer: |
Table InputTable: [["Game", "Date", "Opponent", "Location", "Score", "OT", "Attendance", "Record"], ["9", "February 24, 2007", "Philadelphia Wings", "HSBC Arena", "W 13–12", "", "14,882", "5–4"], ["2", "January 12, 2007", "New York Titans", "HSBC Arena", "W 16–14", "", "18,690", "1–1"], ["8", "February 17, 2007", "@ Ph... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 13,659 | 128 | Answer: |
Table InputTable: [["County", "Brown", "Votes", "Nixon", "Votes", "Wyckoff", "Votes"], ["El Dorado", "56.25%", "6,572", "41.44%", "4,842", "2.30%", "269"], ["Sacramento", "60.69%", "115,462", "37.74%", "71,788", "1.57%", "2,988"], ["Sutter", "41.19%", "4,816", "57.59%", "6,734", "1.21%", "142"], ["Nevada", "51.02%", "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:... | Wyckoff | 128 | Answer: |
Table InputTable: [["Year", "Injuries (US $000)", "Deaths (age <15)", "CPSC toy safety funding\\n(US$ Millions)", "Toy sales\\n(US $ Billions)"], ["2003", "206", "11", "12.8", "20.7"], ["1998", "153", "14", "", ""], ["1997", "141", "", "", ""], ["1994", "154", "", "", ""], ["1996", "130", "", "", ""], ["1995", "139", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 20.7 | 128 | Answer: |
Table InputTable: [["Model", "1991", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013"], ["Škoda Felicia", "172,000", "210,000", "", "288,458", "261,127", "241,256", "148,028", "44,963", "−", "−", "−", "−", "−", "−", "−... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2001 | 128 | Answer: |
Table InputTable: [["Month", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec", "Year"], ["Average high °F (°C)", "37.1\\n(2.8)", "39.7\\n(4.3)", "47.2\\n(8.4)", "57.6\\n(14.2)", "67.6\\n(19.8)", "77.0\\n(25)", "82.1\\n(27.8)", "80.8\\n(27.1)", "74.0\\n(23.3)", "63.2\\n(17.3)", "53.1\\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:... | 4 | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "1.", "6 October 2003", "Bari, Italy", "Clay", "Bettina Pirker", "6–2, 7–5"], ["Winner", "4.", "20 June 2011", "Rome, Italy", "Clay", "Laura Thorpe", "6–3, 6–0"], ["Runner-up", "5.", "13 March 2007", "Orange, 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:... | Runner-up | 128 | Answer: |
Table InputTable: [["Represents", "Contestant", "Age", "Height", "Hometown"], ["Panamá Centro", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Panamá Este", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Comarcas", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Panamá Oeste", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Chiriquí", "TBD", "TBD",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Outcome", "No.", "Date", "Championship", "Surface", "Opponent in the final", "Score in the final"], ["Winner", "8.", "January 18, 1999", "Sydney, Australia", "Hard", "Àlex Corretja", "6–3, 7–6(7–5)"], ["Winner", "1.", "May 17, 1993", "Coral Springs, Florida, USA", "Clay", "David Wheaton", "6–3, 6–4... | 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:... | 1999 | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Ron Starr", "1", "September 19, 1986", "Ponce, Puerto Rico", "Defeated Invader I in a Tournament Final"], ["Ron Starr", "2", "June 25, 1988", "Carolina, Puerto Rico", ""], ["Glamour Boy Shane", "1", "April 2, 1999", "Guaynabo, Puerto Rico", "De... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ponce, Puerto Rico | 128 | Answer: |
Table InputTable: [["Name", "Location", "Date established", "Area", "Description"], ["Olympic", "Washington\\n47°58′N 123°30′W / 47.97°N 123.50°W", "June 29, 1938", "922,650.86 acres (3,733.8 km2)", "Situated on the Olympic Peninsula, this park ranges from Pacific shoreline with tide pools to temperate rainforests 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:... | 59 | 128 | Answer: |
Table InputTable: [["Golfer", "Country", "Wins", "Match Play", "Championship", "Invitational", "Champions"], ["Ernie Els", "South Africa", "2", "—", "2: 2004, 2010", "—", "—"], ["Phil Mickelson", "United States", "2", "—", "1: 2009", "—", "1: 2009"], ["Tiger Woods", "United States", "18", "3: 2003, 2004, 2008", "7: 199... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Match Day", "Date", "Opponent", "H/A", "Score", "Aberdeen Scorer(s)", "Attendance"], ["32", "6 March", "Partick Thistle", "H", "0–0", "", "6,000"], ["19", "12 December", "Partick Thistle", "A", "0–3", "", "6,000"], ["30", "20 February", "Hibernian", "H", "0–0", "", "8,500"], ["20", "19 December", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 14 | 128 | Answer: |
Table InputTable: [["Game", "Day", "Date", "Kickoff", "Opponent", "Results\\nScore", "Results\\nRecord", "Location", "Attendance"], ["2", "Sunday", "November 17", "1:05pm", "Monterrey Flash", "L 6–10", "0–2", "UniSantos Park", "363"], ["5", "Saturday", "December 14", "7:05pm", "at Sacramento Surge", "W 7–6 (OT)", "3–2"... | 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:... | November 10 | 128 | Answer: |
Table InputTable: [["Tournament", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "W–L"], ["French Open", "2R", "1R", "1R", "2R", "2R", "1R", "2R", "3R", "1R", "1R", "", "6–10"], ["Australian Open", "A", "2R", "2R", "2R", "3R", "2R", "1R", "3R", "1R", "1R", "2R", "9–10"], ["US Op... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | US Open | 128 | Answer: |
Table InputTable: [["Wrestler:", "Times:", "Date:", "Location:", "Notes:"], ["Quiet Storm", "1", "July 21, 2013", "Osaka, Japan", ""], ["Gamma", "1", "June 24, 2001", "Osaka, Japan", ""], ["Zeus", "1", "January 19, 2014", "Osaka, Japan", ""], ["Tigers Mask", "1", "February 12, 2007", "Osaka, Japan", ""], ["Super Dolphi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Year", "Winner", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Win $"], ["1989", "Highest Glory", "Jose A. Santos", "D. Wayne Lukas", "H. Joseph Allen", "1", "1:37.20", "$70,440"], ["2004", "Lucifer's Stone", "Jose A. Santos", "Linda L. Rice", "Team Solaris Stable", "1-1/8", "1:48.88... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Velazquez, Pat Day | 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:... | Won | 128 | Answer: |
Table InputTable: [["Character", "Real name", "Home world", "Membership notes", "Powers"], ["Earth-Man", "Kirt Niedrigh", "Earth", "Pre-Crisis version first appeared (as \"Absorbency Boy\") in Superboy and the Legion of Super-Heroes #218 (July 1976).\\nJoined in Legion of Super-Heroes vol. 6, #2 (August 2010).\\nDied 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:... | Glorith II | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time"], ["", "Jenny Kurth", "United States", "4:57.24"], ["", "Joanne Malar", "Canada", "4:43.64"], ["", "Alison Fealey", "United States", "4:48.31"], ["7", "Carolyn Adel", "Suriname", "5:13.24"], ["5", "Fabíola Molina", "Brazil", "5:03.43"], ["8", "Edith Arraspide", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Alison Fealey | 128 | Answer: |
Table InputTable: [["District", "Incumbent", "Party", "First\\nelected", "Result", "Candidates"], ["Maryland 5", "Steny Hoyer", "Democratic", "1981", "Re-elected", "Steny Hoyer (D) 69.27%\\nJoseph Crawford (R) 30.52%"], ["Maryland 3", "Ben Cardin", "Democratic", "1986", "Re-elected", "Ben Cardin (D) 65.72%\\nScott Conw... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Albert Wynn | 128 | Answer: |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["1", "2", "Paula Radcliffe (GBR)", "15:27.25 Q", ""], ["1", "15", "Kate Anderson (AUS)", "15:36.16 q", ""], ["1", "5", "Roberta Brunet (ITA)", "15:29.03 Q", ""], ["2", "17", "Sonia O'Sullivan (IRL)", "15:40.82", ""], ["1", "33", "Justine Nahimana (BUR)", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Gabriela Szabo | 128 | Answer: |
Table InputTable: [["Team", "Stadium", "Capacity", "City/Area"], ["Bradford Bulls (2014 season)", "Provident Stadium", "27,000", "Bradford, West Yorkshire"], ["Salford City Reds (2014 season)", "Salford City Stadium", "12,000", "Salford, Greater Manchester"], ["Wakefield Trinity Wildcats (2014 season)", "Rapid Solicito... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | above | 128 | Answer: |
Table InputTable: [["Tour", "Official title", "Venue", "City", "Date\\nStart", "Date\\nFinish", "Prize money\\nUSD", "Report"], ["7", "China Masters Super Series", "Sichuan Provincial Gymnasium", "Chengdu", "July 10", "July 15", "250,000", "Report"], ["11", "China Open Super Series", "Tianhe Gymnasium", "Guangzhou", "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:... | Chengdu | 128 | Answer: |
Table InputTable: [["Season", "Conference", "Head Coach", "Total Wins", "Total Losses", "Total Ties", "Conference Wins", "Conference Losses", "Conference Ties", "Conference Standing", "Postseason Result"], ["Totals:\\n105 Seasons", "2 Conferences", "23 Head Coaches", "Total\\nWins\\n473", "Total\\nLosses\\n536", "Total... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 473 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Nationality", "Time", "Notes", "Points"], ["12", "Milan Kocourek", "Czech Republic", "1:59.28", "", "1"], ["4", "Mario Scapini", "Italy", "1:47.20", "PB", "9"], ["11", "António Rodrigues", "Portugal", "1:50.45", "", "2"], ["1", "Adam Kszczot", "Poland", "1:46.50", "", "12"], ["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:... | Poland | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["2006", "World Indoor Championships", "Moscow, Russia", "10th (q)", "5.65 m"], ["1999", "World Youth Championships", "Bydgoszcz, Poland", "13th (q)", "4.60 m"], ["2005", "European U23 Championships", "Erfurt, Germany", "7th", "5.50 m"], ["2003",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1.15m | 128 | Answer: |
Table InputTable: [["Game", "Date", "Opponent", "Location", "Score", "OT", "Attendance", "Record"], ["11", "March 17, 2007", "@ New York Titans", "Madison Square Garden", "W 11–8", "", "7,012", "7–4"], ["4", "January 20, 2007", "Minnesota Swarm", "HSBC Arena", "W 22–13", "", "12,883", "2–2"], ["2", "January 12, 2007", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8 | 128 | Answer: |
Table InputTable: [["Team", "City", "Years active", "Seasons played", "Win–loss record", "Win%", "Playoffs appearances"], ["Pittsburgh Ironmen", "Pittsburgh, Pennsylvania", "1946–1947", "1", "15–45", ".250", "0"], ["Indianapolis Jets", "Indianapolis, Indiana", "1948–1949", "1", "18–42", ".300", "0"], ["Waterloo Hawks",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Round", "Date", "Home/Away", "Opponent team", "Score", "Scorers"], ["2", "August 30, 2008", "Away", "KS Teuta Durrës", "0–1", "Migen Memelli 42',"], ["6", "October 4, 2008", "Away", "KS Bylis Ballsh", "0–0", ""], ["24", "March 15, 2009", "Away", "KS Bylis Ballsh", "0–0", ""], ["32", "May 16, 2009"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Date", "Time", "Opponent#", "Rank#", "Site", "TV", "Result", "Attendance"], ["December 1", "7:00 PM", "vs. #14 Nebraska", "", "Lucas Oil Stadium • Indianapolis, IN (Big Ten Championship Game)", "FOX", "W 70–31", "41,260"], ["September 29", "7:00 PM", "at #20 Nebraska", "#23", "Memorial Stadium • Li... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 70223 | 128 | Answer: |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2004/05", "KSV Roeselare", "Belgian Second Division", "29", "1"], ["2009/10", "Győri ETO FC", "Soproni Liga", "1", "0"], ["2002/03", "RAEC Mons", "Jupiler League", "19", "0"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["2010/11",... | 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:... | 1 | 128 | Answer: |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-7", "8 June 1918", "5 October 1918", "24 November 1918", "Expended as target 30 November 1934"], ["PE-6", "3 June 1918", "16 October 1918", "21 November 1918", "Expended as target 30 November 1934"], ["PE-14", "20 July 1918", "23 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Rol", "Format", "Related Links"], ["2009", "Infinito", "", "Short Film", ""], ["2010", "Yo Te Estaré Cuidando", "Camilo", "Short Film", ""], ["2006", "La Vida Inmune", "Malhora", "Feature Film", "https://www.youtube.com/watch?v=PQt4RU3usnw"], ["2008", "La Carretera Es Blanca Y Llan... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Celebrity", "Residence", "Famous for.../Occupation", "Age", "Status"], ["Brenda Cerdá", "Valencia", "Reality show star", "19", "4th Evicted"], ["Raúl Hidalgo", "Valladolid", "Reality show star", "29", "6th Evicted"], ["Regina Do Santos", "Brazil", "Singer & Dancer", "58", "1st / 14th Evicted"], ["P... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Madrid | 128 | Answer: |
Table InputTable: [["Team", "Chassis", "Engine", "Tires", "No", "Drivers"], ["PacWest Racing Group", "Reynard 98i", "Mercedes", "Firestone", "18", "Mark Blundell"], ["PacWest Racing Group", "Reynard 98i", "Mercedes", "Firestone", "17", "Maurício Gugelmin"], ["Team Rahal", "Reynard 98i", "Ford XB", "Firestone", "8", "Br... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | PacWest | 128 | Answer: |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["15", "Gary Rowe", "47", "Nissan Stanza", "Gary Rowe", "-", "-", "21", "-", "21"], ["4", "Mick Monterosso", "2", "Ford Escort RS2000", "Mick Monterosso", "-", "34", "36", "34", "104"], ["17", "Phil Crompton", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Domenic Beninca | 128 | Answer: |
Table InputTable: [["Year", "Name", "Year", "Name", "Year", "Name"], ["1905-06", "Mr G. Constable", "1937 -38", "", "1969-70", ""], ["1915-16", "Mr R.Champion", "1947-48", "Mr C.Chambers", "1980-81", "Mr Meyer"], ["1927-28", "Mr J.Stanbury", "1959-60", "Mr A.P.Scribante", "1992-93", "Mr Gerrie Wolmarans"], ["1925-26", ... | 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:... | Mr P.Venter | 128 | Answer: |
Table InputTable: [["Date", "Location", "Opponent", "Result", "Competition"], ["July 15, 2013", "Houston, United States", "El Salvador", "0-1", "GC"], ["July 8, 2013", "Harrison, United States", "Honduras", "0–2", "GC"], ["July 12, 2013", "Miami Gardens, United States", "Trinidad and Tobago", "2-0", "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:... | Concepcion, Chile | 128 | Answer: |
Table InputTable: [["Year", "Film", "Role", "Language", "Notes"], ["2012", "18th Cross", "Punya", "Kannada", ""], ["2008", "Moggina Manasu", "Chanchala", "Kannada", "Filmfare Award for Best Actress - Kannada\\nKarnataka State Film Award for Best Actress"], ["2012", "Alemari", "Neeli", "Kannada", ""], ["2013", "Dilwala"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yes | 128 | Answer: |
Table InputTable: [["#", "Weekend End Date", "Film", "Box Office"], ["7", "February 15, 1998", "Titanic", "£3,849,120"], ["8", "February 22, 1998", "Titanic", "£3,657,613"], ["9", "March 1, 1998", "Titanic", "£3,403,199"], ["11", "March 15, 1998", "Titanic", "£2,469,191"], ["10", "March 8, 1998", "Titanic", "£3,010,921... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | U.S. Marshals | 128 | Answer: |
Table InputTable: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["8", "8", "Special FX-Ation", "January 24, 1999", "108"], ["1", "1", "Going Up!", "October 25, 1998", "101"], ["7", "7", "Front Page", "January 17, 1999", "107"], ["13", "13", "Hot Dog", "March 14, 1999", "113"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Nation", "Date", "Quantity", "Type", "Notes"], ["Venezuela", "2014", "6", "4207", "The Bolivarian Armada of Venezuela ordered 6 vessels together with 6 Damen Ocean Patrol 5007 in March 2014. They are being built in UCOCAR shipyard with the assistance of DAMEX Shipbuilding & Engineering, Cuba."], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Canada | 128 | Answer: |
Table InputTable: [["Name", "Owner", "Location", "Notes", "Transmission", "Website"], ["Radio Dimensione Suono", "", "Rome", "Commercial; It is also called RDS", "FM, DAB, DAB+, DVB-S", "http://www.rds.it"], ["Multiradio", "Multiradio srl", "Massafra, (TA)", "Local; Adult Contemporary", "FM", "http://www.multiradio.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:... | RAI | 128 | Answer: |
Table InputTable: [["Type", "Construction period", "Cylinder", "Capacity", "Power", "Vmax"], ["C1 (6/18 PS)", "1909–1915", "straight-4", "1.546 cc", "18 PS (13,2 kW)", "70 km/h (43 mph)"], ["P4 (11/22 PS)", "1905–1910", "straight-4.", "3.054 cc", "22 PS (16,2 kW)", "70 km/h (43 mph)"], ["G4 (6/12 PS)", "1907–1911", "st... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | P4 | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["10", "19", "Teo Fabi", "Benetton-BMW", "77", "+ 5 Laps", "13", ""], ["8", "26", "Philippe Alliot", "Ligier-Renault", "79", "+ 3 Laps", "8", ""], ["NC", "16", "Patrick Tambay", "Lola-Ford", "70", "Not Classified", "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:... | 7 | 128 | Answer: |
Table InputTable: [["Network name", "Flagship", "Programming type", "Owner", "Affiliates"], ["Galavisión", "XEQ 9", "retro programming and sports", "Televisa", "1"], ["Azteca 13", "XHDF 13", "news, soap operas, and sports", "TV Azteca", "4"], ["Canal 5", "XHGC 5", "cartoons, movies, and series", "Televisa", "4"], ["Can... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Televisa | 128 | Answer: |
Table InputTable: [["Tablet", "Genealogy", "Narrative", "Colophon"], ["11", "Descendants of Esau 36:10 to 37:1", "no narrative", "\"This is the account of Jacob.\" 37:2"], ["", "no genealogy", "37:2 to 50:26", "no colophon"], ["6", "Shem to Terah 11:10 - 26", "no narrative", "\"This is the account of Terah.\" 11:27"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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"], ["SNNPR", "242", "1:65,817", "220", "1:72,398", "3,980", "1:4,00... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4165 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["6", "Oct 2", "at Hamilton Tiger-Cats", "45–0", "Loss", "1–6"], ["7", "Oct 11", "at Montreal Alouettes", "24–6", "Loss", "1–8"], ["2", "Sept 4", "at Montreal Alouettes", "21–2", "Loss", "0–2"], ["1", "Aug 28", "at Toronto Argonauts", "13–6",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 9 | 128 | Answer: |
Table InputTable: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7CAE", "Hobart", "092.1", "FM", "Changed call to 7THE ca. 1980", "7THE", "Community"], ["7HO", "Hobart", "0864", "AM", "Moved to FM in 1990 as 7HHO", "7RPH", "Commercial"], ["7LA", "Launceston", "1098", "AM", "Mo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7THE | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Site", "Result"], ["October 16", "at Georgia Tech", "Grant Field • Atlanta, GA", "W 21–0"], ["October 2", "at Vanderbilt", "Dudley Field • Nashville, TN", "W 19–7"], ["January 1, 1927", "vs. Stanford*", "Rose Bowl • Pasadena, CA (Rose Bowl)", "T 7–7"], ["November 6", "Kentucky",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["No.", "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"], ["2", "24 April 1917 @ 0840 hours", "So... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Eps #", "Prod #", "Title", "Summary", "Air Date"], ["13", "19", "Rama-Tut", "After coming back from vacation Reed tells Ben an interesting theory on attempting to restore him. They head to Dr. Doom’s deserted castle to use the time machine the doctor left behind. In 2000 B.C the four weaken during ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Tablet", "Genealogy", "Narrative", "Colophon"], ["10", "Descendants of Esau 36:2 - 5", "36:6 - 8", "\"This is the account of Esau.\" 36:9"], ["7", "Terah to Abraham 11:27", "11:28 to 25:11", "\"This is the account of Abraham's son Ishmael.\" 25:12 (eldest son)"], ["9", "Abraham to Isaac 25:19", "25... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ishmael | 128 | Answer: |
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