context stringlengths 362 1.72k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | answer_prefix stringclasses 1
value | max_new_tokens int64 128 128 |
|---|---|---|---|---|
Table InputTable: [["Town name", "County", "Established", "Disestablished", "Current Status", "Remarks"], ["Ray", "Pawnee County", "", "", "Most of the houses were demolished or moved in the 1950s. The old Co-op remains and still bears the town name. Large berm south of the co-op is what is left from the demolition 38.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ulysses | Answer: | 128 |
Table InputTable: [["\\nReading", "Year 1\\n2013, 2016, 2019, 2022 . . .\\n6:2–7:7", "Year 2\\n2014, 2017, 2020, 2023 . . .\\n7:8–8:15", "Year 3\\n2015, 2018, 2021, 2024 . . .\\n8:16–9:35"], ["Maftir", "7:5–7", "8:12–15", "9:33–35"], ["7", "6:29–7:7", "8:12–15", "9:27–35"], ["6", "6:26–28", "8:7–11", "9:22–26"], ["1", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Year 2 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["10", "Yugoslavia", "3", "1", "1", "5"], ["1", "Soviet Union", "26", "17", "15", "58"], ["21", "South Korea", "0", "0", "1", "1"], ["12", "Bulgaria", "1", "1", "1", "3"], ["12", "Austria", "1", "1", "1", "3"], ["17", "Australia", "0", "1", "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:... | 14 | Answer: | 128 |
Table InputTable: [["Sr. No.", "Train No.", "Name of the Train", "Arrival", "Departure", "Day"], ["29.", "51830", "Agra-Nagpur Pass", "18:04", "18:05", "Daily"], ["3.", "51294", "Amla-Nagpur Pass", "06:39", "06:40", "Daily"], ["34.", "51152", "Narkhed-New Amravati Pass", "N/a", "18:00", "Daily"], ["12.", "51829", "Nagp... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Narkhed-New Amravati Pass, Bhusaval-Narkhed Pass | Answer: | 128 |
Table InputTable: [["Heat", "Rank", "Name", "Result", "Notes"], ["1", "2", "Paula Radcliffe (GBR)", "15:27.25 Q", ""], ["2", "—", "Anne Hare (NZL)", "DNF", ""], ["2", "31", "Jelena Chelnova (LAT)", "16:27.63", ""], ["1", "5", "Roberta Brunet (ITA)", "15:29.03 Q", ""], ["1", "15", "Kate Anderson (AUS)", "15:36.16 q", ""... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 42 | Answer: | 128 |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Randy Savage", "2", "1981", "Unknown", ""], ["Randy Savage", "3", "1982", "Unknown", ""], ["Randy Savage", "1", "March 13, 1979", "Halifax, Nova Scotia", ""], ["Paul Christy", "1", "November 13, 1983", "Springfield, Illinois", ""], ["Lanny Poff... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Lanny Poffo | Answer: | 128 |
Table InputTable: [["Comet", "Discoverer(s) or namesake(s)", "Orbital period (years)", "Spacecraft encounter(s)"], ["67P/Churyumov–Gerasimenko", "Churyumov & Gerasimenko", "6.45", "Rosetta (orbiter 2014)"], ["133P/Elst–Pizarro = minor planet 7968 Elst–Pizarro", "Elst & Pizarro", "5.62", ""], ["174P/Echeclus = minor pla... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 153P/Ikeya-Zhang | Answer: | 128 |
Table InputTable: [["Country", "Amphibians", "Birds", "Mammals", "Reptile", "Total terrestrial vertebrates", "Vascular plants", "Biodiversity"], ["Nicaragua", "61", "632", "181", "178", "1052", "7590", "8642"], ["Costa Rica", "183", "838", "232", "258", "1511", "12119", "13630"], ["Guatemala", "133", "684", "193", "236... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Costa Rica | Answer: | 128 |
Table InputTable: [["Season", "Conference", "Head Coach", "Total Wins", "Total Losses", "Total Ties", "Conference Wins", "Conference Losses", "Conference Ties", "Conference Standing", "Postseason Result"], ["1992", "Southern", "Charlie Taaffe", "11", "2", "0", "6", "1", "0", "1", "Quarterfinals"], ["1988", "Southern", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sidney Smith | Answer: | 128 |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["10 August", "Toyota (N)", "United Arab Emirates", "6–0", "Toyota Cup"], ["8 August", "Toyota (N)", "Brazil", "0–0", "Toyota Cup"], ["9 August", "Toyota (A)", "Japan", "2–2", "Toyota Cup"], ["12 October", "Tashkent (A)", "Uzbekistan", "3–0", "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:... | 3 | Answer: | 128 |
Table InputTable: [["Week", "Date", "Result", "Record", "Opponent", "Points For", "Points Against", "First Downs", "Attendance"], ["10", "November 20", "Loss", "8–2", "at Pittsburgh Steelers", "13", "28", "20", "49,761"], ["11", "November 27", "Win", "9–2", "at Washington Redskins", "14", "7", "19", "55,031"], ["9", "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:... | 2 | Answer: | 128 |
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:... | 7 | Answer: | 128 |
Table InputTable: [["Client", "Years of Operation", "Area of Operation", "Country", "Services"], ["Perenco Oil Co.", "2000-01", "EchiraX Concession", "Gabon", "Drilling"], ["SOC", "2000-current", "SOC fields", "Libya", "Drilling"], ["OMV", "1997", "Field 103", "Libya", "Drilling, workover"], ["Agoco", "1991-current", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Zueitina | Answer: | 128 |
Table InputTable: [["Rank", "Country", "Box Office", "Year", "Box office\\nfrom national films"], ["12", "Brazil", "$0.72 billion", "2013", "17% (2013)"], ["7", "India", "$1.4 billion", "2012", "–"], ["4", "United Kingdom", "$1.7 billion", "2012", "36.1% (2011)"], ["8", "Germany", "$1.3 billion", "2012", "–"], ["9", "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:... | Brazil | Answer: | 128 |
Table InputTable: [["Time", "Wind", "Auto", "Athlete", "Nationality", "Location of race", "Date"], ["20.6", "", "20.75", "Bobby Morrow", "United States", "Melbourne, Australia", "November 27, 1956"], ["20.6", "", "", "Andy Stanfield", "United States", "Los Angeles, United States", "June 28, 1952"], ["20.5", "0.0", "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:... | Livio Berruti | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["1", "1", "Alain Prost", "Ferrari", "64", "1:18:30.999", "5", "9"], ["9", "8", "Stefano Modena", "Brabham-Judd", "62", "+ 2 Laps", "20", ""], ["13", "26", "Philippe Alliot", "Ligier-Ford", "61", "+ 3 Laps", "22", ""], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 64 | Answer: | 128 |
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)"], ["8", "7 July", "Bayonne – Pau", "Plain stage", "106 km (66 mi)", "Charles Pélissier (FRA)", "Charles Pélissier (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:... | Les Sables d'Olonne - Bordeaux | Answer: | 128 |
Table InputTable: [["Episode no.", "Airdate", "Viewers", "BBC Three weekly ranking", "Multichannels rank"], ["6", "30 May 2013", "1,094,000", "1", "3"], ["7", "6 June 2013", "975,000", "2", "6"], ["9", "20 June 2013", "1,204,000", "6", "9"], ["10", "27 June 2013", "730,000", "N/A", "28"], ["8", "13 June 2013", "840,000... | 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:... | 1,094,000 | Answer: | 128 |
Table InputTable: [["Result", "Record", "Opponent", "Method", "Date", "Round", "Location"], ["Win", "21-0-0", "Lawrence \"Larry\" O'Neil", "KO", "1933", "1", "Cambridge, Massachusetts"], ["Loss", "24-1-0", "Brad Simmons", "KO", "1934 Jan 01", "1", "Cambridge, Massachusetts"], ["Win", "29-1-0", "Sid Stoneman", "KO", "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:... | 31-3 | Answer: | 128 |
Table InputTable: [["County", "Brown", "Votes", "Nixon", "Votes", "Wyckoff", "Votes"], ["Plumas", "66.44%", "3,397", "31.76%", "1,624", "1.80%", "92"], ["Fresno", "57.78%", "68,187", "40.85%", "48,211", "1.37%", "1,615"], ["El Dorado", "56.25%", "6,572", "41.44%", "4,842", "2.30%", "269"], ["Napa", "53.50%", "14,748", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1773 | Answer: | 128 |
Table InputTable: [["Games", "Athletes", "Gold", "Silver", "Bronze", "Total", "Rank"], ["1996 Atlanta", "4", "0", "0", "0", "0", "–"], ["2004 Athens", "10", "2", "4", "0", "6", "42"], ["2008 Beijing", "18", "4", "1", "2", "7", "32"], ["Total", "Total", "9", "5", "6", "20", "54"], ["1992 Barcelona", "5", "0", "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:... | 1 | Answer: | 128 |
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:... | 20 | Answer: | 128 |
Table InputTable: [["Single / EP", "Tracks", "Label", "Year", "Album"], ["Doin' It Right", "Doin' It Right", "Burn The Fire", "2009", "—"], ["2012 – Remix Contest EP", "2012 (Remastered)", "Burn The Fire", "2012", "The Agenda"], ["Fresh Attire Vol. 3", "Crush Groovin'", "Wearhouse Music", "2009", "—"], ["Your Love Is E... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["148", "Dan McFall", "Defence", "United States", "Winnipeg Jets", "Buffalo Jr. Sabres (NAJHL)"], ["150", "Tony Arima", "Left Wing", "Finland", "Colorado Rockies", "Jokerit (Finland)"], ["156", "Ari Lahteenmaki",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tony Arima | Answer: | 128 |
Table InputTable: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2008", "Matt Jordan", "Nevio Pizzolitto", "Joey Gjertsen", "Stefano Pesoli"], ["2010", "Philippe Billy", "Philippe Billy", "Tony Donatelli", "Ali Gerba"], ["2000", "Jim Larkin", "–", "–", "–"], ["2011", "Hassoun... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Soviet Union (URS)", "0", "1", "2", "3"], ["3", "West Germany (FRG)", "2", "0", "0", "2"], ["4", "Norway (NOR)", "0", "2", "2", "4"], ["6", "Sweden (SWE)", "0", "1", "1", "2"], ["1", "Netherlands (NED)", "4", "3", "2", "9"], ["2", "Unite... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | West Germany (FRG) | Answer: | 128 |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["1", "32", "Patrick Carpentier", "Team Player's", "87", "1:48:11.023", "1", "22"], ["2", "1", "Bruno Junqueira", "Newman/Haas Racing", "87", "+0.8 secs", "2", "17"], ["9", "7", "Tiago Monteiro", "Fittipaldi-Dingman Racing", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1:48:11.023 | Answer: | 128 |
Table InputTable: [["#", "Title", "Time", "Lyrics", "Music", "Producer(s)", "Performer(s)"], ["8", "\"Rollin Hard\"", "4:07", "Boondox", "Mike E. Clark", "Boondox", "Boondox"], ["12", "\"Red Mist\"", "3:54", "Boondox", "Mike E. Clark", "Boondox", "Boondox\\nBlaze Ya Dead Homie\\nTwiztid"], ["4", "\"It Ain't A Thang\"",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "The Harvest" | Answer: | 128 |
Table InputTable: [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["1", "Alejandro Valverde (ESP)", "Caisse d'Epargne", "5h 29' 10\"", "40"], ["5", "Franco Pellizotti (ITA)", "Liquigas", "s.t.", "15"], ["2", "Alexandr Kolobnev (RUS)", "Team CSC Saxo Bank", "s.t.", "30"], ["6", "Denis Menchov (RUS)", "Rabo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5h 29' 10" | Answer: | 128 |
Table InputTable: [["Round", "Round", "Race", "Date", "Pole Position", "Fastest Lap", "Winning Club", "Winning Team", "Report"], ["2", "R2", "Nürburgring", "September 21", "", "SC Corinthians", "PSV Eindhoven", "Azerti Motorsport", "Report"], ["4", "R2", "Estoril", "October 19", "", "Borussia Dortmund", "Al Ain", "Azer... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Fence", "Name", "Jockey", "Age", "Handicap (st-lb)", "Starting price", "Fate"], ["22", "Kapeno", "David Dick", "8", "11-6", "100/8", "Fell"], ["?", "Blonde Warrior", "Mr D Crossley-Cooke", "13", "10-13", "100/1", "Fell"], ["09", "Groomsman", "Beltrán Osorio", "10", "10-13", "100/1", "Fell"], ["06",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 33 | Answer: | 128 |
Table InputTable: [["Date of Incident", "Offender", "Team", "Offense", "Date of Action", "Length"], ["January 14, 2012", "Dane Byers", "Columbus Blue Jackets", "Illegal hit to the head of Andrew Desjardins.", "January 16, 2012", "3 games"], ["May 6, 2012", "Claude Giroux", "Philadelphia Flyers", "Illegal hit to the hea... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Columbus Blue Jackets | Answer: | 128 |
Table InputTable: [["Year", "Matches", "Winner", "Results", "Pakistan\\nCaptain", "Pakistan\\nCoach", "India\\nCaptain", "India\\nCoach"], ["1986", "7", "India win", "3 - 2", "Hassan Sardar", "Anwar Ahmad Khan", "Mohmmad Shaheed", "M. P. Ganesh"], ["1981", "4", "Pakistan win", "2 - 1", "Akhtar Rasool", "Zakauddin", "Su... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["6", "South Korea", "0", "0", "2", "2"], ["5", "North Korea", "1", "0", "1", "2"], ["3", "Uzbekistan", "1", "2", "3", "6"], ["4", "Kazakhstan", "2", "2", "0", "4"], ["2", "Japan", "7", "10", "7", "24"], ["1", "China", "13", "9", "13", "35"], [... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | South Korea | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Netherlands", "8", "3", "1", "12"], ["3", "United States", "2", "5", "1", "8"], ["4", "Hungary", "1", "1", "3", "5"], ["6", "Italy", "–", "2", "1", "3"], ["8", "China", "–", "–", "1", "1"], ["7", "Russia", "–", "1", "1", "2"], ["5", "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:... | 20 | Answer: | 128 |
Table InputTable: [["No.", "Year", "Name", "Held at", "Number of teams", "Winner", "Runners Up"], ["17", "2013", "Madanda Cup", "Balugodu", "225", "Anjaparavanda", "Palanganda"], ["15", "2011", "Machamada Cup", "Ponnampet", "228", "Palanganda", "Kaliyanda"], ["16", "2012", "Iychetira Cup", "Ammathi", "217", "Palanganda... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Anjaparavanda | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Nationality", "1st (m)", "2nd (m)", "Points"], ["3", "Janne Ahonen", "FIN", "127.0", "130.5", "264.0"], ["4", "Adam Małysz", "POL", "127.0", "130.5", "261.5"], ["1", "Matti Hautamäki", "FIN", "132.0", "131.5", "274.3"], ["11", "Jakub Janda", "CZE", "123.5", "128.5", "252.6"], ["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:... | 3 | Answer: | 128 |
Table InputTable: [["Ship", "Hull No.", "Status", "Years Active", "NVR\\nPage"], ["Andrew J. Higgins", "T-AO-190", "Inactivated May 1996. Sold to the Chilean Navy May 2009. Towed to Atlantic Marine Alabama shipyard, Mobile, Alabama, September 2009 for three-month refit. Commissioned in Chilean Navy on 10 February 2010 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Henry J. Kaiser | Answer: | 128 |
Table InputTable: [["Rank", "Player", "County", "Tally", "Total", "Opposition"], ["9", "Francis Forde", "Galway", "1–5", "8", "New York"], ["1", "Francis Forde", "Galway", "2–8", "14", "Roscommon"], ["6", "Seán McLoughlin", "Westmeath", "1–6", "9", "Carlow"], ["9", "John Byrne", "Carlow", "2–2", "8", "Westmeath"], ["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:... | Niall English | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["9", "Germany", "1", "0", "1", "2"], ["8", "Italy", "1", "2", "0", "3"], ["2", "Austria", "4", "3", "4", "11"], ["7", "Norway", "2", "1", "1", "4"], ["3", "Finland", "3", "3", "1", "7"], ["5", "Swe... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Boomerang", "Oswald the Mailman Robot", "Aborigines", "40,000 years ago", "Australia", "Mailman"], ["Saxophone", "Bongo-Bot the Six-Armed Robot", "Antoine-Joseph Sax", "1846", "France", "Six-Armed Drum Player"], ["Tools", "Hank t... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 10 | Answer: | 128 |
Table InputTable: [["decimal32", "decimal64", "decimal128", "decimal(32k)", "Format"], ["7", "16", "34", "p = 3×t/10+1 = 9×k−2", "Coefficient size (decimal digits)"], ["32", "64", "128", "32×k", "Total size (bits)"], ["1", "1", "1", "1", "Sign field (bits)"], ["5", "5", "5", "5", "Combination field (bits)"], ["192", "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:... | 2 | Answer: | 128 |
Table InputTable: [["Rank", "Lane", "Name", "Nationality", "Time", "Notes"], ["7", "8", "Grant Patterson", "Australia", "55.49", ""], ["2", "4", "David Smetanine", "France", "38.97", "Q"], ["6", "2", "Ronystony Cordeiro da Silva", "Brazil", "44.22", ""], ["1", "5", "Eskender Mustafaiev", "Ukraine", "38.77", "Q"], ["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:... | 4 | Answer: | 128 |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["1994", "29 Dec 1993", "Bormio, Italy", "Downhill", "3rd"], ["1995", "11 Dec 1994", "Tignes, France", "Super G", "2nd"], ["1993", "27 Feb 1993", "Whistler, BC, Canada", "Downhill", "2nd"], ["1994", "12 Mar 1994", "Whistler, BC, Canada", "Downhil... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Whistler, BC, Canada | Answer: | 128 |
Table InputTable: [["Naturalisations by origin", "2000", "2005", "2009", "% Total 2009"], ["Total", "150 026", "154 643", "135 842", "100"], ["Africa", "84 182", "98 453", "85 144", "62.7"], ["North America", "1 048", "854", "747", "0.5"], ["South-East Asia", "7 265", "4 069", "2 475", "1.8"], ["Other Africa", "5 375",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Rank", "Athlete", "Nationality", "2.15", "2.20", "2.24", "2.27", "Result", "Notes"], ["1.", "Yaroslav Rybakov", "Russia", "o", "o", "o", "o", "2.27", "q"], ["1.", "Andriy Sokolovskyy", "Ukraine", "o", "o", "o", "o", "2.27", "q"], ["1.", "Andrey Tereshin", "Russia", "o", "o", "o", "o", "2.27", "q"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Year", "Recipient", "Nationality", "Profession", "Speech"], ["1997", "Elie Wiesel", "United States", "Professional writer\\nWinner of the Nobel Peace Prize (1986)", ""], ["1998", "Herman Wouk", "United States", "Professional writer and 1952 Pulitzer Prize winner", ""], ["2008", "David Be'eri, Morde... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Professional writer Winner of the Nobel Peace Prize (1986) | Answer: | 128 |
Table InputTable: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["3", "Air Commodore K. M. Ahmad", "1979", "1980", "Pakistan Air Force Academy", "Flight Instructor", "Certificated Flight Instructor (CFI)"], ["1", "Dr Abdus Salam", "1961", "1967", "Imperial Colleg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Abdus Salam | Answer: | 128 |
Table InputTable: [["Year", "Network", "Race caller", "Color commentator", "Reporters", "Trophy Presentation"], ["1953", "CBS", "Bryan Field", "Mel Allen", "Phil Sutterfield", "Phil Sutterfield"], ["1952", "CBS", "Bryan Field", "Sam Renick", "", ""], ["1956", "CBS", "Fred Capossela", "Bryan Field", "", ""], ["1958", "C... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Year", "Laureate(s)", "Citizenship", "Institution", "Citation"], ["2004", "Michael Atiyah\\nIsadore Singer", "British\\nAmerican", "University of Edinburgh\\nMassachusetts Institute of Technology", "\"for their discovery and proof of the index theorem, bringing together topology, geometry and analy... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2003 | Answer: | 128 |
Table InputTable: [["Rank", "Player", "County", "Tally", "Total", "Opposition"], ["9", "Paul Flynn", "Waterford", "1–5", "8", "Tipperary"], ["3", "Gary Kirby", "Limerick", "0–10", "10", "Tipperary"], ["3", "Gary Kirby", "Limerick", "1–7", "10", "Tipperary"], ["6", "Gary Kirby", "Limerick", "0–9", "9", "Antrim"], ["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:... | Paul Flynn | Answer: | 128 |
Table InputTable: [["Year", "Class", "No", "Tyres", "Car", "Team", "Co-Drivers", "Laps", "Pos.", "Class\\nPos."], ["1978", "S\\n+2.0", "10", "", "Mirage M9\\nRenault 2.0L Turbo V6", "Grand Touring Cars Inc.", "Vern Schuppan\\n Sam Posey", "293", "10th", "5th"], ["1977", "S\\n+2.0", "8", "", "Renault Alpine A442\\nRenau... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1972 | Answer: | 128 |
Table InputTable: [["Place", "Shooter", "5 pts", "4 pts", "3 pts", "2 pts", "1 pts", "0 pts", "Total", "Rank"], ["3", "Raymond Coulter", "2", "4", "3", "1", "-", "-", "37", "11"], ["3", "Dennis Fenton", "1", "2", "5", "2", "-", "-", "32", "16"], ["6", "Elemér Takács", "1", "2", "3", "-", "1", "3", "23", "23"], ["1", "E... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ole Lilloe-Olsen | Answer: | 128 |
Table InputTable: [["Year", "Designer(s)", "Brief description", "Selected by:", "Associated publication"], ["1994", "John Galliano", "Black silk strapless evening dress", "Meredith Etherington Smith", "Harper's & Queen"], ["1998", "Female: Sonia Rykiel\\nMale: Chris Bailey for Jigsaw Menswear", "Female: Black knitted 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:... | John Galliano | Answer: | 128 |
Table InputTable: [["Binary", "Octal", "Decimal", "Hexadecimal", "Glyph"], ["0011 1000", "070", "56", "38", "8"], ["0011 0000", "060", "48", "30", "0"], ["0011 0001", "061", "49", "31", "1"], ["0011 0010", "062", "50", "32", "2"], ["0011 1001", "071", "57", "39", "9"], ["0011 0100", "064", "52", "34", "4"], ["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:... | 0011 1001 | Answer: | 128 |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2008/09", "Excelsior Mouscron", "Jupiler League", "31", "1"], ["2009/10", "Excelsior Mouscron", "Jupiler League", "14", "1"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["2007/08", "KSV Roeselare", "Jupiler League", "25", "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:... | 45 | Answer: | 128 |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["GL-A-3", "2006..", "[[]]", "[[]]", "-"], ["GL-A-4", "2006..", "[[]]", "[[]]", "-"], ["GL-A-2", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-2", "2006..", "[[]]", "[[]]", "-"], ["GL-A-1", "2006..", "[[]]", "[[]]", "-"], ["Quarterfinals-2", "2006..", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Semifinals-2 | Answer: | 128 |
Table InputTable: [["Designation", "Keel Laid", "Launched", "Commissioned", "Fate"], ["PE-58", "25 March 1919", "2 August 1919", "20 October 1919", "Disposed of 30 June 1940"], ["PE-44", "20 February 1919", "24 May 1919", "30 September 1919", "Disposed of 14 May 1938"], ["PE-55", "17 March 1919", "22 July 1919", "10 Oc... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Tournament", "2007", "2008", "2009", "2010", "2011", "2012", "2013", "2014", "W–L"], ["Win–Loss", "0–1", "0–1", "0–1", "3–4", "0–3", "4–4", "1–4", "0–1", "8–19"], ["Titles–Finals", "0–0", "0–0", "0–0", "0–0", "0–0", "0–1", "0–0", "", "0–1"], ["Australian Open", "1R", "1R", "A", "2R", "1R", "3R", "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:... | 1R | Answer: | 128 |
Table InputTable: [["Year", "Kit Manufacturer", "Shirt Sponsor", "Back of Shirt Sponsor", "Short Sponsor"], ["1991–1993", "Technik", "Gulf Oil", "", ""], ["2009–2011", "Errea", "Mira Showers", "PSU Technology Group", ""], ["1994–1995", "Klūb Sport", "Empress", "", ""], ["2004–2008", "Errea", "Bence Building Merchants",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Errea | Answer: | 128 |
Table InputTable: [["Rank", "Name", "Club", "Nationality", "Points"], ["13", "Ferenc Puskás", "Real Madrid", "Spain", "5"], ["17", "Amancio Amaro", "Real Madrid", "Spain", "2"], ["3", "Luis Suárez", "Internazionale", "Spain", "45"], ["17", "Philippe Gondet", "Nantes", "France", "2"], ["6", "Flórián Albert", "Ferencváro... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Rank", "Player Name", "No. of Titles", "Runner-up", "Final Appearances"], ["9", "Thierry Lincou", "1", "1", "2"], ["12", "Rodney Martin", "1", "0", "1"], ["9", "Rodney Eyles", "1", "1", "2"], ["17", "James Willstrop", "0", "1", "1"], ["1", "Jansher Khan", "8", "1", "9"], ["3", "Geoff Hunt", "4", "1... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jansher Khan | Answer: | 128 |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Runner-up", "4.", "18 June 2011", "Aegon International, United Kingdom", "Grass", "Andreas Seppi", "6–7(5–7), 6–3, 3–5 ret."], ["Runner-up", "7.", "22 July 2012", "Swiss Open, Switzerland", "Clay", "Thomaz Bellucci", "7–6(8–6... | 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:... | Hard (i) | Answer: | 128 |
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"], ["Feb. 14, 1964", "Michigan State", "2–0", "Win", "East Lansing, MI"], ["March 13, 1964", "Michiga... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 6 | Answer: | 128 |
Table InputTable: [["Year", "Division", "League", "Reg. Season", "Playoffs", "National Cup"], ["1945/46", "N/A", "ASL", "1st", "Champion (no playoff)", "?"], ["1939/40", "N/A", "ASL", "2nd(t)", "No playoff", "Co-champion"], ["1935/36", "N/A", "ASL", "2nd", "No playoff", "?"], ["1946/47", "N/A", "ASL", "4th", "No playof... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1 | Answer: | 128 |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["1.", "Neymar", "Santos FC", "86.0", "2013"], ["2.", "Cesc Fàbregas", "Arsenal", "29+5(variables)", "2011"], ["3.", "Alexis Sánchez", "Udinese", "26+11(add ons)", "2011"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["7... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Binary", "Octal", "Decimal", "Hexadecimal", "Glyph"], ["0011 0010", "062", "50", "32", "2"], ["0011 0011", "063", "51", "33", "3"], ["0011 0001", "061", "49", "31", "1"], ["0011 0000", "060", "48", "30", "0"], ["0011 1001", "071", "57", "39", "9"], ["0011 0100", "064", "52", "34", "4"], ["0011 0111... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 50s | Answer: | 128 |
Table InputTable: [["Builder", "Works numbers", "Dates", "CN numbers", "GT numbers", "Notes"], ["ALCO", "49663-49674", "1911", "2616-2625\\n2677-2678", "766-777", "built at ALCO's Brooks Works"], ["MLW", "45163-45182", "1908", "2627-2646", "631-650", ""], ["ALCO", "42046-42060\\n43540-43554", "1907", "2567-2576\\n2606-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1911 | Answer: | 128 |
Table InputTable: [["Match Day", "Date", "Opponent", "H/A", "Score", "Aberdeen Scorer(s)", "Attendance"], ["5", "12 September", "Ayr United", "A", "0–1", "", "2,000"], ["32", "6 March", "Partick Thistle", "H", "0–0", "", "6,000"], ["24", "9 January", "Ayr United", "H", "1–1", "Cail", "4,500"], ["28", "6 February", "Mor... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 5 | Answer: | 128 |
Table InputTable: [["Name", "Type", "R.A. (J2000)", "Dec. (J2000)", "Redshift (km/s)", "Apparent Magnitude"], ["IC 342", "SAB(rs)cd", "03h 46m 48.5s", "+68° 05′ 46″", "31 ± 3", "9.1"], ["KK 35", "Irr", "03h 45m 12.6s", "+67° 51′ 51″", "105 ± 1", "17.2"], ["Camelopardalis B", "Irr", "04h 53m 07.1s", "+67° 05′ 57″", "77"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | IC 342 | Answer: | 128 |
Table InputTable: [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["Hydrus", "Steamer", "Lake Huron", "near Lexington, Michigan", "28 lost"], ["Lightship No. 82", "Lightship", "Lake Erie", "Point Albino (near Buffalo)", "6 lost"], ["Plymouth", "Barge", "Lake Michigan", "", "7 lost"], ["James Carruthers",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Round", "Pick", "Name", "Position", "College"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["3", "69", "Dez White", "WR", "Georgia Tech"], ["7", "223", "James Cotton", "DE", "Ohio State"], ["3", "87", "Dustin Lyman", "TE", "Wake Forest"], ["6", "174", "Paul Edinger", "K", "Michigan State"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["Player", "No.", "Nationality", "Position", "Years for Jazz", "School/Club Team"], ["Derek Fisher", "2", "United States", "Guard", "2006-2007", "Arkansas-Little Rock"], ["Jim Farmer", "30", "United States", "Guard", "1988-89", "Alabama"], ["Todd Fuller", "52", "United States", "Center", "1998-99", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 year | Answer: | 128 |
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)]"], ["PG7", "12.5 (0.492)", "20", "0.05 (1.270)", "11.28 (0.444)", "3 to 6.5 (0.118 to 0.256)"], ["PG9", "15.5 (0.610)", "18", "0.05556 (1.... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | more | Answer: | 128 |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2009/10", "Excelsior Mouscron", "Jupiler League", "14", "1"], ["2008/09", "Excelsior Mouscron", "Jupiler League", "31", "1"], ["2003/04", "RAEC Mons", "Jupiler League", "23", "0"], ["2002/03", "RAEC Mons", "Jupiler League", "19", "0"], ["2006/07"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 278 | Answer: | 128 |
Table InputTable: [["Distribution", "x86", "x86-64", "ia64", "ppc", "ppc64", "sparc32", "sparc64", "arm", "hppa", "mips", "sh", "s390", "s390x", "alpha", "m68k"], ["Distribution", "x86", "x86-64", "ia64", "ppc", "ppc64", "sparc32", "sparc64", "arm", "hppa", "mips", "sh", "s390", "s390x", "alpha", "m68k"], ["Arch Linux"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chakra | Answer: | 128 |
Table InputTable: [["Rank", "Cyclist", "Team", "Time", "UCI ProTour\\nPoints"], ["3", "Davide Rebellin (ITA)", "Gerolsteiner", "s.t.", "25"], ["4", "Paolo Bettini (ITA)", "Quick Step", "s.t.", "20"], ["2", "Alexandr Kolobnev (RUS)", "Team CSC Saxo Bank", "s.t.", "30"], ["6", "Denis Menchov (RUS)", "Rabobank", "s.t.", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Paolo Bettini (ITA) | Answer: | 128 |
Table InputTable: [["Year", "Award", "Nominated work", "Category", "Result"], ["2008", "Britain's Best", "Leona Lewis", "Music Award", "Won"], ["2007", "Cosmopolitan Ultimate Woman of the Year", "Leona Lewis", "Newcomer of the Year", "Won"], ["2008", "Glamour Woman Of The Year Awards", "Leona Lewis", "UK Solo Artist", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | Answer: | 128 |
Table InputTable: [["Season", "Episodes", "Time slot (EST)", "Original airing\\nSeason premiere", "Original airing\\nSeason finale", "Original airing\\nTV season", "Rank", "Viewers\\n(in millions)"], ["3", "23", "Thursday 9pm/8c", "September 26, 2002", "May 15, 2003", "2002–2003", "#1", "26.20"], ["4", "23", "Thursday ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 295 | Answer: | 128 |
Table InputTable: [["Year", "Model", "Denomination", "Metal composition", "Dimensions"], ["2004", "The Flag of Estonia – 2004", "10 krooni", ".925 silver", "25 grams (0.88 oz)38 millimetres (1.5 in)"], ["1992", "Barcelona Olympics", "10 krooni", ".925 silver", "25 grams (0.88 oz)38 millimetres (1.5 in)"], ["1996", "Atl... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Barcelona Olympics | Answer: | 128 |
Table InputTable: [["Political lieutenant", "District\\n(Area)", "Took Office", "Left Office", "Party leader"], ["Lucien Bouchard", "Lac-Saint-Jean\\n(Saguenay-Lac-Saint-Jean)", "1988", "1990", "Brian Mulroney"], ["Benoît Bouchard", "Roberval\\n(Saguenay-Lac-Saint-Jean)", "1990", "1993", "Brian Mulroney"], ["Monique La... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Benoît Bouchard | Answer: | 128 |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Notes"], ["1999", "World Youth Championships", "Bydgoszcz, Poland", "12th", ""], ["2007", "World Championships", "Osaka, Japan", "13th", "68.15 m"], ["2000", "World Junior Championships", "Santiago, Chile", "5th", ""], ["2002", "World Junior Championships... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2007 | Answer: | 128 |
Table InputTable: [["Naturalisations by origin", "2000", "2005", "2009", "% Total 2009"], ["America", "5 668", "6 352", "6 677", "4.9"], ["North America", "1 048", "854", "747", "0.5"], ["Europe (not including CIS )", "22 085", "18 072", "14 753", "10.9"], ["South and Central America", "4 620", "5 498", "5 930", "4.4"]... | 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:... | South and Central America | Answer: | 128 |
Table InputTable: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Boomerang", "Oswald the Mailman Robot", "Aborigines", "40,000 years ago", "Australia", "Mailman"], ["Tools", "Hank the Handyman Robot", "Stone-Age Humans", "2½ million years ago", "Africa", "Mechanic"], ["Saxophone", "Bongo-Bot t... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Slide the Heavy-Metal Robot | Answer: | 128 |
Table InputTable: [["Stations", "Connections", "City/ Neighborhood", "Parking", "Date Opened"], ["Pierce College", "Metro Local: 164, 243", "Winnetka", "373 Spaces", "October 29, 2005"], ["Canoga", "Metro Local:164, 165\\nCity of Santa Clarita Transit: 796", "Canoga Park", "612 Spaces", "December 27, 2006"], ["Balboa",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 373 | Answer: | 128 |
Table InputTable: [["Number", "Name", "Service", "From", "To"], ["(Acting)", "BG John W. Heavey", "USA", "August 15, 1918", "February 5, 1919"], ["10", "MG Albert H. Blanding", "USA", "January 31, 1936", "January 30, 1940"], ["22", "Lt Gen John B. Conaway", "USAF", "February 1, 1990", "December 1, 1993"], ["11", "MG Jo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Band", "Disc/Song", "Released", "Disc Description", "Disk Size", "Image"], ["Devo", "Beautiful World b/w Nu-Tra", "1981", "Shaped like an astronaut head", "", ""], ["The Enemy", "You're not alone", "2007", "Square shaped. Has the single cover art on the A-side and a black and white picture of the 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:... | 1981 | Answer: | 128 |
Table InputTable: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2008", "Matt Jordan", "Nevio Pizzolitto", "Joey Gjertsen", "Stefano Pesoli"], ["2010", "Philippe Billy", "Philippe Billy", "Tony Donatelli", "Ali Gerba"], ["2011", "Hassoun Camara", "Evan Bush", "Simon Gatti", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Year", "Total\\npassengers", "Passenger\\nChange", "Domestic", "International\\n(total)", "International\\n(non-CIS)", "CIS", "Aircraft\\nLandings", "Cargo\\n(tonnes)"], ["2013", "4 293 002", "+13.5%", "2 180 227", "2 112 775", "", "", "25 728", "27 800"], ["2012", "3 783 069", "+12.7%", "1 934 016... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 4000 | Answer: | 128 |
Table InputTable: [["Description Losses", "1939/40", "1940/41", "1941/42", "1942/43", "1943/44", "1944/45", "Total"], ["Deaths In Prisons & Camps", "69,000", "210,000", "220,000", "266,000", "381,000", "", "1,146,000"], ["Deaths Outside of Prisons & Camps", "", "42,000", "71,000", "142,000", "218,000", "", "473,000"], ... | 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:... | 1,146,000 | Answer: | 128 |
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:... | Sekgosese | Answer: | 128 |
Table InputTable: [["Year", "Team Record\\nW", "Team Record\\nL", "Playoffs"], ["2005", "3", "5", "Did Not Make Playoffs"], ["2009", "5", "5", "Did Not Make Playoffs"], ["2010", "5", "5", "Did Not Make Playoffs"], ["2003", "8", "1", "2nd Qualifier, Region 2"], ["2004", "7", "2", "2nd Qualifier, Region 2"], ["2001", "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:... | 2007 | Answer: | 128 |
Table InputTable: [["Year", "Winners", "Runners-up", "Third", "Fourth"], ["2009", "Società Sportiva Lazio", "Real Zaragoza", "-", "-"], ["1997", "Società Sportiva Lazio", "Real Zaragoza", "-", "-"], ["2006", "Real Zaragoza", "Associazione Sportiva Livorno Calcio", "-", "-"], ["1992", "Real Zaragoza", "Fútbol Club Barce... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 years | Answer: | 128 |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["12", "Nov 13", "vs. Montreal Alouettes", "14–12", "Win", "2–12"], ["7", "Oct 9", "vs. Montreal Alouettes", "25–11", "Loss", "1–7"], ["2", "Sept 6", "vs. Montreal Alouettes", "20–11", "Loss", "0–3"], ["8", "Oct 16", "vs. Toronto Argonauts", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Montreal Alouettes | Answer: | 128 |
Table InputTable: [["Season", "Tier", "League", "Pos.", "Postseason", "German Cup", "European competitions"], ["2001–02", "1", "Bundesliga", "7", "Quarterfinalist", "–", "–"], ["2007–08", "1", "Bundesliga", "7", "Quarterfinalist", "–", "1 Euroleague Regular Season"], ["2013–14", "1", "Bundesliga", "", "", "Third place"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
Table InputTable: [["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:... | Addis Ababa | Answer: | 128 |
Table InputTable: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Solar System", "Cosmo-Bot", "Copernicus", "1531", "Poland", "Cosmonaut"], ["Painting", "Pierro-Bot", "Stone-Age Humans", "35,000 B.C.", "Europe", "Clown/Artist"], ["Dynamite", "Robby Robot", "Alfred Nobel", "1866", "Sweden", "Pra... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 143 years | Answer: | 128 |
Table InputTable: [["Builder", "Works numbers", "Dates", "CN numbers", "GT numbers", "Notes"], ["MLW", "42331-42345\\n43150-43164", "1907", "2577-2605\\n2661-2662\\n2685", "721-750", ""], ["MLW", "39548-39562\\n40583-40622", "1906", "2525-2566\\n2663", "651-705", ""], ["MLW", "45163-45182", "1908", "2627-2646", "631-65... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | ALCO | Answer: | 128 |
Table InputTable: [["Series #", "Season #", "Title", "Notes", "Original air date"], ["9", "1", "\"Dee Dee Runs Away\"", "Dee Dee has been waiting to go to a monster truck show all week. But Alfie and Goo's baseball team makes it to the tournament and everyone forgets about the monster truck show. Dee Dee feels ignored ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | Answer: | 128 |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["1", "Soviet Union", "*7*", "3", "6", "16"], ["9", "Germany", "1", "0", "1", "2"], ["5", "Sweden", "2", "4", "4", "10"], ["8", "Italy", "1", "2", "0", "3"], ["2", "Austria", "4", "3", "4", "11"], ["7", "Norway", "2", "1", "1", "4"], ["10", "Ca... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | Answer: | 128 |
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