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: [["Clerk", "Started", "Finished", "School (year)", "Previous clerkship"], ["Heywood H. Davis", "1958", "1959", "Kansas (1958)", "none"], ["Alan C. Kohn", "1957", "1958", "Wash U (1955)", "none"], ["Kenneth W. Dam", "1957", "1958", "Chicago (1957)", "none"], ["Jerome B. Libin", "1959", "1960", "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:... | 1957 | 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:... | Earth-Man | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Partner", "Opponents", "Score"], ["Winner", "1.", "13 February 2011", "Rancho Mirage, United States", "Hard", "Karolína Plíšková", "Nadejda Guskova\\n Sandra Zaniewska", "6–7(6–8), 6–1, 6–4"], ["Runner-up", "4.", "17 September 2012", "Shrewsbury, 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:... | 13 February 2011 | 128 | Answer: |
Table InputTable: [["#", "Date", "Location", "Winner", "Score\\nJSU", "Score\\nTU", "Series"], ["8", "November 11, 1938", "Jacksonville, AL", "Tied", "6", "6", "TSU 4–3–1"], ["6", "November 10, 1933", "Jacksonville, AL", "Troy State", "7", "18", "Tied 3–3"], ["38", "November 11, 1972", "Jacksonville, AL", "Tied", "14",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | November 11, 1938 | 128 | Answer: |
Table InputTable: [["DATE", "OPPONENT", "SCORE", "TOP SCORER (Total points)", "VENUE"], ["February 11", "MOBILINE", "80-68", "", "ARANETA COLISEUM"], ["June 10 Commissioner's Cup", "MOBILINE", "97-92", "Tony Lang (29)", "ARANETA COLISEUM"], ["November 7", "SAN MIGUEL", "86-81", "", "ARANETA COLISEUM"], ["September 29",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | YNARES CENTER | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["7", "Hong Kong (HKG)", "2", "2", "9", "13"], ["3", "South Korea (KOR)", "32", "48", "65", "145"], ["1", "China (CHN)", "127", "63", "33", "223"], ["4", "Chinese Taipei (TPE)", "12", "34", "26", "72"], ["5", "Macau (MAC)", "11", "16", "17", "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:... | 9 | 128 | Answer: |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2008", "November 9", "New York Giants", "36-31", "Philadelphia Eagles", "Lincoln Financial Field"], ["2006", "September 17", "New York Giants", "30-24 (OT)", "Philadelphia Eagles", "Lincoln Financial Field"], ["2005", "December 11", "New 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:... | Philadelphia Eagles | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2006", "African Championships", "Bambous, Mauritius", "4th", "400 m hurdles", "50.96"], ["2007", "All-Africa Games", "Algiers, Algeria", "8th", "4x400 m relay", "DNF"], ["2007", "All-Africa Games", "Algiers, Algeria", "2nd", "400 m hur... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Site", "Winning team", "Winning team", "Losing team", "Losing team", "Series"], ["September 29, 1984", "Colorado Springs", "Air Force", "52", "Colorado State", "10", "AFA 14–8–1"], ["September 27, 1986", "Colorado Springs", "Air Force", "24", "Colorado State", "7", "AFA 16–8–1"], ["October ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["Date", "Venue", "Opponents", "Score", "Competition"], ["20 March", "Fukuoka (A)", "China PR", "1–0", "Sanix Cup"], ["20 March", "Fukuoka (A)", "Japan", "2–0", "Sanix Cup"], ["18 October", "Tashkent (N)", "Iran", "1–2", "AFC U-16 Championship (Final)"], ["4 October", "Tashkent (N)", "India", "5–2", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tashkent (N) | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Australia", "26", "38", "36", "100"], ["10", "Japan", "17", "16", "20", "53"], ["1", "China", "63", "46", "32", "141"], ["8", "Germany", "19", "28", "31", "78"], ["6", "Ukraine", "24", "12", "19", "55"], ["9", "France", "18", "26", "30",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 35.8 | 128 | Answer: |
Table InputTable: [["Position", "Driver", "No.", "Car", "Entrant", "Lak.", "Ora.", "San.", "Phi.", "Total"], ["3", "James Phillip", "55", "Honda Prelude Chevrolet", "James Phillip", "26", "28", "28", "30", "112"], ["17", "Phil Crompton", "49", "Ford EA Falcon", "Phil Crompton", "17", "-", "-", "-", "17"], ["13", "Chris... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Kerry Baily | 128 | Answer: |
Table InputTable: [["Name", "City", "State/Country", "Designed", "Completed", "Other Information"], ["Eero Saarinen & Associates Building", "Bloomfield Hills", "Michigan", "1953", "1953", ""], ["Saarinen House furnishings", "Bloomfield Hills", "Michigan", "1928", "1930", ""], ["Center Line Defense Housing", "Center Lin... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["16 Sep 1950", "Colchester United", "H", "2–0", "Parker 2", "16,021"], ["20 Jan 1951", "Colchester United", "A", "1–1", "Birch", "8,230"], ["11 Nov 1950", "Southend United", "A", "0–3", "", "9,882"], ["31 Mar 1951", "Southend United"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2006", "Mauricio Vincello", "Gabriel Gervais", "Andrew Weber", "Leonardo Di Lorenzo"], ["2002", "Eduardo Sebrango", "Gabriel Gervais", "Jason DiTullio", "Zé Roberto"], ["2007", "Leonardo Di Lorenzo", "Mauricio V... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Thread\\nnominal size", "Outer diameter\\n[mm (in)]", "Threads per inch\\n(TPI)", "Pitch\\n[in (mm)]", "Inner diameter\\n[mm (in)]", "Cable diameter\\n[mm (in)]"], ["PG11", "18.6 (0.732)", "18", "0.05556 (1.4112)", "17.26 (0.680)", "5 to 10 (0.197 to 0.394)"], ["PG9", "15.5 (0.610)", "18", "0.05556... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["22", "Massimo Pennacchioli", "Honda", "+1:59.498", ""], ["21", "Adrian Bosshard", "Honda", "+1:47.492", ""], ["20", "Gabriele Debbia", "Honda", "+1:40.049", ""], ["24", "Alessandro Gramigni", "Gilera", "+1 Lap", ""], ["11", "Alberto Puig", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Nobuatsu Aoki | 128 | Answer: |
Table InputTable: [["Name", "Nation", "Position", "League Apps", "League Goals", "FA Cup Apps", "FA Cup Goals", "Total Apps", "Total Goals"], ["Jimmy Glazzard", "England", "FW", "21", "5", "1", "0", "22", "5"], ["John Battye", "England", "DF", "22", "0", "0", "0", "22", "0"], ["Johnny McKenna", "Northern Ireland", "MF"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 Battye | 128 | Answer: |
Table InputTable: [["Nr.", "Name", "Area (km²)", "Population (2006)", "Capital", "Club(s)"], ["3", "Cairo", "3,435", "7,786,640", "Cairo", "Al-Ahly - Al Mokawloon - ENPPI - El-Jaish - El-Shorta - Itesalat"], ["1", "Alexandria", "2,900", "4,110,015", "Alexandria", "Al Itthad Al Sakandary - El-Olympi - Haras El Hodood"],... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Giza | 128 | Answer: |
Table InputTable: [["School", "Season", "Record", "Conference Record", "Place", "Postseason"], ["Illinois", "1913–14", "9–4", "7–3", "3rd", ""], ["Illinois", "1919–20", "9–4", "8–4", "3rd", ""], ["Illinois", "1915–16", "13–3", "9–3", "T2nd", ""], ["Illinois", "1912–13", "10–6", "7–6", "5th", ""], ["Illinois", "1914–15"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["1996", "World Junior Championships", "Sydney, Australia", "2nd", "3000 m st."], ["", "Commonwealth Games", "Kuala Lumpur, Malaysia", "3rd", "3000 m st."], ["1999", "All-Africa Games", "Johannesburg, South Africa", "1st", "3000 m st."], ["1998",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | All-Africa Games | 128 | Answer: |
Table InputTable: [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["1995-96", "1", "1995-96 Superliga", "Peter Møller (15)", "Finalist", "EC3 3rd round", ""], ["2008-09", "3", "2008-09 Superliga", "Morten Rasmussen (9)\\nAlexander Farnerud (9)\\nOusman Jall... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Diver", "Nationality", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints", "Final\\nRank"], ["", "Wang Han", "China", "306.60", "1", "310.20", "2"], ["26", "Choi Sut Ian", "Macau", "224.50", "26", "", ""], ["", "Shi Tingmao", "China", "294.65", "2", "318.65", "1"], ["17", "Sharo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 8.45 | 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 1 (1999)", "Zoe Costello", "Jared Nathan", "Keiko Yoshida", "Pablo Velez, Jr.", "Alisa Besher", "David Toropov", "Lynese Browder"], ["Season 4 (2002)", "Aline Toup... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Caroline Botelho | 128 | Answer: |
Table InputTable: [["Stations", "Connections", "City/ Neighborhood", "Parking", "Date Opened"], ["Tampa", "Metro Local: 242", "Tarzana", "n/a", "October 29, 2005"], ["Reseda", "Metro Rapid: 741\\nMetro Local: 240", "Tarzana", "522 Spaces", "October 29, 2005"], ["Nordhoff", "Metro Local: 166, 364\\nLADOT DASH Northridge... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Reseda | 128 | Answer: |
Table InputTable: [["Atomic\\nno.", "Name", "Symbol", "Group", "Period", "Block", "State at\\nSTP", "Occurrence", "Description"], ["38", "Strontium", "Sr", "2", "5", "s", "Solid", "Primordial", "Alkaline earth metal"], ["20", "Calcium", "Ca", "2", "4", "s", "Solid", "Primordial", "Alkaline earth metal"], ["12", "Magnes... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Solid | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["8 May 1993", "Southampton", "H", "4–3", "14,597", "Pointon, Olney, Ritchie, Halle"], ["15 August 1992", "Chelsea", "A", "1–1", "20,699", "Henry"], ["31 October 1992", "Southampton", "A", "0–1", "10,827", ""], ["6 February 1993", "Che... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 December 1992 | 128 | Answer: |
Table InputTable: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Bruno Brazil", "1973–1977", "5", "Greg", "Magic-Strip", "William Vance drew the comics, Follet provided the page lay-out"], ["Harricana", "1992", "1", "Jean-Claude de la Royère", "Claude Lefrancq", "Drawn by Denis Mérezette, Follet did ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bruno Brazil | 128 | Answer: |
Table InputTable: [["Year", "Award", "Category", "Recipient", "Result"], ["2012", "Soompi Gayo Awards", "Top 50 Songs (#3)", "\"Heaven\"", "Won"], ["2013", "27th Golden Disk Awards", "Best New Artist", "Herself", "Won"], ["2012", "4th MelOn Music Awards", "Best New Artist", "Herself", "Won"], ["2014", "Soompi Music Awa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Year", "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:... | 1986 | 128 | Answer: |
Table InputTable: [["Single / EP", "Tracks", "Label", "Year", "Album"], ["2012 – Remix Contest EP", "2012 (Remastered)", "Burn The Fire", "2012", "The Agenda"], ["Doin' It Right", "Doin' It Right", "Burn The Fire", "2009", "—"], ["Louder Than Bombs", "Louder Than Bombs", "Burn The Fire", "2012", "The Agenda"], ["Rave 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:... | 2010 | 128 | Answer: |
Table InputTable: [["Pos", "Rider", "Manufactuer", "Time/Retired", "Points"], ["22", "Massimo Pennacchioli", "Honda", "+1:59.498", ""], ["1", "Doriano Romboni", "Honda", "33:53.776", "25"], ["21", "Adrian Bosshard", "Honda", "+1:47.492", ""], ["11", "Alberto Puig", "Honda", "+25.136", "5"], ["17", "Adi Stadler", "Honda... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Date", "Time", "", "Score", "", "Set 1", "Set 2", "Set 3", "Set 4", "Set 5", "Total", "Report"], ["18 Nov", "14:00", "Russia", "3–0", "Tunisia", "25–15", "29–27", "25–20", "", "", "79–62", "P2 P3"], ["22 Nov", "14:00", "Kazakhstan", "0–3", "Tunisia", "19–25", "23–25", "24–26", "", "", "66–76", "P2 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Russia | 128 | Answer: |
Table InputTable: [["No. in\\nseries", "No. in\\nseason", "Title", "Directed by", "Written by", "Original air date", "Prod.\\ncode"], ["5", "2", "\"A Cup of Kindness\"", "Leo Penn", "Morton Fine & David Friedkin", "September 22, 1965", "102"], ["27", "26", "\"There was a Little Girl\"", "John Rich", "Teleplay by: Steph... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Carry Me Back to Old Tsing-Tao" | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Results\\nFinal score", "Results\\nTeam record", "Venue", "Attendance"], ["8", "November 5", "New Orleans Saints", "W 37–6", "4–4", "Metropolitan Stadium", "49,784"], ["1", "September 18", "Washington Redskins", "L 24–21", "0–1", "Metropolitan Stadium", "47,900"], ["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:... | Soldier Field | 128 | Answer: |
Table InputTable: [["Team 1", "Agg.", "Team 2", "1st leg", "2nd leg"], ["Jaén", "1–4", "Real Unión", "1–1", "0–3"], ["Figueres", "3–4", "Racing Santander", "1–2", "2–2"], ["Alcalá", "1–10", "Valencia", "1–3", "0–7"], ["Español Raspeig", "0–1", "Mirandés", "0–0", "0–1"], ["Europa", "3–8", "Málaga", "3–3", "0–5"], ["Alge... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 84 | 128 | Answer: |
Table InputTable: [["School", "2007", "2008", "2009", "2010", "2011"], ["Santee Education Complex", "", "502", "521", "552", "565"], ["Marc and Eva Stern Math and Science School", "718", "792", "788", "788", "809"], ["James A. Garfield High School", "553", "597", "593", "632", "705"], ["Francisco Bravo Medical Magnet H... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Series", "Premiere", "Finale", "Winner", "Runner-up", "Third place", "Host(s)", "Judging panel", "Guest judge(s)"], ["Three", "11 April 2009", "30 May 2009", "Diversity", "Susan Boyle", "Julian Smith", "Ant & Dec", "Simon Cowell\\nAmanda Holden\\nPiers Morgan", "Kelly Brook"], ["One", "9 June 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:... | Louis Walsh | 128 | Answer: |
Table InputTable: [["Date", "Festival", "Location", "Awards", "Link"], ["Sep 28", "Fantastic Fest", "Austin, Texas\\n USA", "", "FantasticFest.com"], ["Oct 9, Oct 11", "Sitges Film Festival", "Sitges, Catalonia\\n Spain", "", "Sitges Festival"], ["Oct 1, Oct 15", "Gwacheon International SF Festival", "Gwacheon, Gyeongg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Santa Barbara International Film Festival, Seattle International Film Festival, Fantasia Festival, Sitges Film Festival, Gwacheon International SF Festival, Icon TLV, Indonesia Fantastic Film Festival, AFF | 128 | Answer: |
Table InputTable: [["Band", "Disc/Song", "Released", "Disc Description", "Disk Size", "Image"], ["Barnes & Barnes", "Fish Heads: Barnes & Barnes' Greatest Hits", "1982", "Shaped as a fish head", "12\"", ""], ["Guns N' Roses", "Paradise City", "1989", "Shape of a Colt \"Peacemaker\"", "7\"", ""], ["Guns N' Roses", "Nigh... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Monster Magnet | 128 | Answer: |
Table InputTable: [["Number", "Name", "Service", "From", "To"], ["(Acting)", "COL George W. McIver", "USA", "September 18, 1916", "October 26, 1916"], ["(Acting)", "Maj Gen Winston P. Wilson", "USAF", "June 1, 1959", "July 19, 1959"], ["17", "Maj Gen Winston P. Wilson", "USAF", "August 31, 1963", "August 31, 1971"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Representative", "Title", "Presentation\\nof Credentials", "Termination\\nof Mission", "Appointed by"], ["Mary Kramer", "Ambassador Extraordinary and Plenipotentiary", "February 5, 2004", "October 30, 2006", "George W. Bush"], ["Earl Norfleet Phillips", "Ambassador Extraordinary and Plenipotentiary... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mary Martin Ourisman | 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 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:... | 7 | 128 | Answer: |
Table InputTable: [["Position", "Officer", "current officers", "superseded by", "Royal Household"], ["9", "Lord High Admiral", "HRH The Duke of Edinburgh", "", ""], ["2", "Lord High Chancellor", "The Rt Hon Chris Grayling, MP", "", ""], ["1", "Lord High Steward", "vacant", "Justiciar", "Lord Steward"], ["6", "Lord Grea... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Earl Marshal | 128 | Answer: |
Table InputTable: [["Year", "Recipient", "Nationality", "Profession", "Speech"], ["2005", "William Safire", "United States", "Author, journalist and speechwriter\\n1978 Pulitzer Prize winner", ""], ["2006", "Daniel Pipes", "United States", "Author and historian", ""], ["1997", "Elie Wiesel", "United States", "Professio... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["3", "Yugoslavia", "3", "2", "1", "6"], ["8", "Tunisia", "0", "1", "0", "1"], ["1", "France", "11", "5", "3", "19"], ["7", "Egypt", "0", "1", "7", "8"], ["5", "Morocco", "1", "1", "0", "2"], ["2", "Greece", "6", "7", "6", "19"], ["4", "Spain",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tunisia | 128 | Answer: |
Table InputTable: [["No.", "Date/time", "Aircraft", "Foe", "Result", "Location", "Notes"], ["6", "23 May 1917 @ 1800 hours", "Sopwith Triplane s/n N5460", "Albatros D.III", "Driven down out of control", "Douai, France", ""], ["1", "4 December 1916 @ 1100 hours", "Nieuport serial number 3958", "Albatros D.I", "Driven do... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Ship", "Type of Vessel", "Lake", "Location", "Lives lost"], ["Plymouth", "Barge", "Lake Michigan", "", "7 lost"], ["Lightship No. 82", "Lightship", "Lake Erie", "Point Albino (near Buffalo)", "6 lost"], ["Argus", "Steamer", "Lake Huron", "25 miles off Kincardine, Ontario", "25 lost"], ["Charles 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:... | Plymouth | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2011", "Asian Championships", "Kobe, Jpan", "3rd", "200 m", "20.97"], ["2009", "Asian Championships", "Guangzhou, China", "1st", "200 m", "21.07"], ["2011", "World Championships", "Daegu, South Korea", "48th (h)", "200 m", "21.45"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Episodes", "Season Premiere", "Season Finale"], ["7", "8", "October 29, 2013", "December 17, 2013"], ["4", "48", "October 13, 2008", "May 11, 2009"], ["3", "44", "October 15, 2007", "June 2, 2008"], ["2", "52", "October 7, 2006", "July 16, 2007"], ["5", "40", "October 12, 2009", "June 14,... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Season 7 | 128 | Answer: |
Table InputTable: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["158", "Andy Suhy", "Defense", "United States", "Detroit Red Wings", "Western Michigan University (NCAA)"], ["168", "Kevin Wortman", "Defense", "United States", "Calgary Flames", "American International College ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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"], ["9", "Abraham to Isaac 25:19",... | 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:... | 11 | 128 | Answer: |
Table InputTable: [["Number", "Name", "Term Started", "Term Ended", "Alma Mater", "Field(s)", "Educational Background"], ["1", "Dr Abdus Salam", "1961", "1967", "Imperial College", "Theoretical Physics", "Doctor of Philosophy (Ph.D)"], ["5", "Dr M. Shafi Ahmad", "1989", "1990", "University of London", "Astronomy", "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:... | 4 | 128 | Answer: |
Table InputTable: [["No.", "Date", "Tournament", "Winning score", "Margin of\\nvictory", "Runner(s)-up"], ["5", "23 Apr 2006", "Tsuruya Open", "−11 (70-68-66-69=273)", "2 strokes", "Mamo Osanai"], ["7", "11 Nov 2007", "Mitsui Sumitomo VISA Taiheiyo Masters", "−13 (67-68-69-70=274)", "5 strokes", "Toru Taniguchi"], ["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: [["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"], ["Madri... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Representative", "Party", "Home Town/City", "District"], ["Trey Martinez Fischer", "D", "San Antonio", "116"], ["Lyle Larson", "R", "San Antonio", "122"], ["Jose Menendez", "D", "San Antonio", "124"], ["Justin Rodriguez", "D", "San Antonio", "125"], ["Philip Cortez", "D", "San Antonio", "117"], ["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:... | Trey Martinez Fischer | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Greece", "3", "4", "9", "16"], ["8", "Croatia", "0", "3", "3", "6"], ["2", "Italy", "12", "8", "10", "30"], ["9", "Egypt", "0", "1", "2", "3"], ["1", "France", "14", "7", "7", "28"], ["7", "Algeria", "2", "0", "2", "4"], ["3", "Slovenia"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tunisia | 128 | Answer: |
Table InputTable: [["Player", "No.", "Nationality", "Position", "Years for Jazz", "School/Club Team"], ["Terry Furlow", "25", "United States", "Guard/Forward", "1979-80", "Michigan State"], ["Bernie Fryer", "25", "United States", "Guard", "1975-76", "BYU"], ["Todd Fuller", "52", "United States", "Center", "1998-99", "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:... | 8 | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2009", "Lusophony Games", "Lisbon, Portugal", "4th", "800 m", "2:07.48"], ["2006", "Lusophony Games", "Macau", "1st", "800 m", "2:07.34"], ["2003", "All-Africa Games", "Abuja, Nigeria", "11th (h)", "800 m", "2:05.19"], ["2009", "World ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Competition", "Total spectatorship", "Average match attendance", "Year"], ["Super Rugby", "773,940", "19,348", "2012"], ["Big Bash League", "550,262", "17,750", "2011/2012"], ["Rugby Championship", "133,532", "44,511", "2012"], ["National Rugby League", "3,345,248", "16,643", "2013"], ["State of Or... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12822406 | 128 | Answer: |
Table InputTable: [["Rd.", "Event", "Circuit", "Location", "Date", "Winner"], ["1", "Clipsal 500", "Adelaide Street Circuit", "Adelaide, South Australia", "19-22 Mar", "David Russell"], ["2", "Winton", "Winton Motor Raceway", "Benalla, Victoria", "1-3 May", "Jonathon Webb"], ["4", "Norton 360 Sandown Challenge", "Sando... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | David Russell | 128 | Answer: |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2000", "October 29", "New York Giants", "24-7", "Philadelphia Eagles", "Giants Stadium"], ["2005", "December 11", "New York Giants", "26-23 (OT)", "Philadelphia Eagles", "Lincoln Financial Field"], ["2008", "November 9", "New York Giants", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Competition", "Round", "Club", "Home", "Away"], ["2012–13", "UEFA Europa League", "1QR", "Budapest Honvéd", "0–1", "0–2"], ["1990–91", "UEFA Cup Winners' Cup", "1R", "Olympiacos Piraeus", "0–2", "1–3"], ["1987–88", "UEFA Cup", "2R", "Wismut Aue", "2–0", "0–1"], ["1987–88", "UEFA Cup", "1R... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1986-87 | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Nationality", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints", "Final\\nRank"], ["11", "Brittany Broben", "Australia", "257.10", "10", "267.20", "11"], ["40", "Hsu Shi-Han", "Chinese Taipei", "146.15", "40", "", ""], ["26", "Choi Sut Ian", "Macau", "224.50", "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:... | Han | 128 | Answer: |
Table InputTable: [["Round", "Pick", "Player", "Position", "Nationality", "School/Club Team"], ["9", "192", "Al Williams", "", "United States", "North Texas State"], ["1", "15", "Reggie Johnson", "PF/C", "United States", "Tennessee"], ["6", "129", "Dean Uthoff", "", "United States", "Iowa State"], ["8", "172", "Bill Ba... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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"], ["11", "Jasmund", "Mecklenburg-Vorpommern", "Jasmund National Park", "492.5 ha", "2510.5 ha"], ["4", "Maramoros", "Zakarpattia", "Carpathian Biosphere Reserve", "2243.6 ha", "6230.4 ha"], ["3", "Svydovets", "Zakarpa... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | larger | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["9", "8", "Stefano Modena", "Brabham-Judd", "62", "+ 2 Laps", "20", ""], ["12", "24", "Paolo Barilla", "Minardi-Ford", "62", "+ 2 Laps", "24", ""], ["10", "25", "Nicola Larini", "Ligier-Ford", "62", "+ 2 Laps", "21", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Pierluigi Martini | 128 | Answer: |
Table InputTable: [["Year", "MVP", "Defensive Player of the Year", "Unsung Hero", "Newcomer of the Year"], ["2000", "Jim Larkin", "–", "–", "–"], ["2010", "Philippe Billy", "Philippe Billy", "Tony Donatelli", "Ali Gerba"], ["1994", "Jean Harbor", "–", "–", "–"], ["1999", "N/A", "–", "–", "–"], ["2001", "Mauro Biello", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["No.", "Date", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["3.", "April 11, 2011", "Chile F3", "Clay", "Roberto Quiroz", "Luis David Martínez\\n Miguel Ángel Reyes-Varela", "6–4, 7–5"], ["2.", "April 4, 2011", "Chile F2", "Clay", "Sergio Galdós", "Guillermo Hormazábal\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chile F2 | 128 | Answer: |
Table InputTable: [["Name", "League", "FA Cup", "League Cup", "JP Trophy", "Total"], ["Danny Coles", "3", "0", "0", "0", "3"], ["Scot Bennett", "5", "0", "0", "0", "5"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["Jamie Cureton", "20", "0", "0", "0", "20"], ["Arron Davies", "3", "0", "0", "0", "3"], ["Pat Baldwin", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Event", "Gold", "Time", "Silver", "Time", "Bronze", "Time"], ["K–2 200 m", "Hungary\\nKatalin Kovács\\nDanuta Kozák", "37.667", "Poland\\nKarolina Naja\\nMagdalena Krukowska", "38.165", "Australia\\nJoanne Brigden-Jones\\nHannah Davis", "38.369"], ["K–1 4x200 m Relay", "Germany\\nNicole Reinhardt\\... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Tamara Csipes (HUN) | 128 | Answer: |
Table InputTable: [["Season", "Date", "Location", "Discipline", "Place"], ["1995", "11 Dec 1994", "Tignes, France", "Super G", "2nd"], ["1994", "13 Mar 1994", "Whistler, BC, Canada", "Super G", "1st"], ["1993", "27 Feb 1993", "Whistler, BC, Canada", "Downhill", "2nd"], ["1994", "12 Mar 1994", "Whistler, BC, Canada", "D... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Whistler, BC, Canada | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Turkey", "1", "1", "0", "2"], ["8", "Tunisia", "0", "1", "0", "1"], ["7", "Egypt", "0", "1", "7", "8"], ["2", "Greece", "6", "7", "6", "19"], ["3", "Yugoslavia", "3", "2", "1", "6"], ["5", "Morocco", "1", "1", "0", "2"], ["1", "France", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Morocco | 128 | Answer: |
Table InputTable: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "3.", "7 June 2011", "Campobasso, Italy", "Clay", "Alizé Lim", "6–2, 6–4"], ["Runner-up", "7.", "9 April 2007", "Civitavecchia, Italy", "Clay", "Darya Kustova", "3–6, 6–4, 6–4"], ["Runner-up", "12.", "27 August 2012"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Italy | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Team", "Laps", "Time/Retired", "Grid", "Points"], ["1", "32", "Patrick Carpentier", "Team Player's", "87", "1:48:11.023", "1", "22"], ["7", "51", "Adrian Fernández", "Fernández Racing", "87", "+1:01.4", "5", "6"], ["15", "4", "Roberto Moreno", "Herdez Competition", "85", "+ 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:... | +1:01.4 | 128 | Answer: |
Table InputTable: [["Tour", "Official title", "Venue", "City", "Date\\nStart", "Date\\nFinish", "Prize money\\nUSD", "Report"], ["13", "Super Series Finals", "Cancelled", "Cancelled", "Cancelled", "Cancelled", "500,000", "Report"], ["12", "Hong Kong Super Series", "Ma On Shan Sports Centre\\nQueen Elizabeth Stadium", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Super Series Finals | 128 | Answer: |
Table InputTable: [["#", "Name", "Took office", "Left office", "Party", "Governor", "Notes"], ["14", "Oliver P. Morton", "January 14, 1861", "January 16, 1861", "Republican", "Henry Smith Lane", ""], ["—", "John R. Cravens", "January 16, 1861", "October 9, 1863", "Republican", "Oliver P. Morton", "acting"], ["29", "Edg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Oliver P. Morton | 128 | Answer: |
Table InputTable: [["Year", "Date", "Winner", "Result", "Loser", "Location"], ["2000", "October 29", "New York Giants", "24-7", "Philadelphia Eagles", "Giants Stadium"], ["2000", "September 10", "New York Giants", "33-18", "Philadelphia Eagles", "Veterans Stadium"], ["2007", "January 7", "Philadelphia Eagles", "23-20",... | 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:... | New York Giants | 128 | Answer: |
Table InputTable: [["Team", "City", "Venue", "Capacity", "Head Coach", "Team Captain", "Past Season"], ["Aboomoslem", "Mashhad", "Samen", "35,000", "Ali Hanteh", "Saeed Khani", "4th"], ["Persepolis", "Tehran", "Azadi", "90,000", "Nelo Vingada", "Karim Bagheri", "Champion"], ["Foolad", "Ahvaz", "Takhti Ahvaz", "15,000",... | 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:... | Ali Hanteh | 128 | Answer: |
Table InputTable: [["Tour", "Official title", "Venue", "City", "Date\\nStart", "Date\\nFinish", "Prize money\\nUSD", "Report"], ["2", "Korea Open Super Series", "Seoul National University Gymnasium", "Seoul", "January 23", "January 28", "300,000", "Report"], ["6", "Indonesia Super Series", "Bung Karno Stadium", "Jakart... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Korea Open Super Series | 128 | Answer: |
Table InputTable: [["Builder", "Works numbers", "Dates", "CN numbers", "GT numbers", "Notes"], ["MLW", "45163-45182", "1908", "2627-2646", "631-650", ""], ["ALCO", "49663-49674", "1911", "2616-2625\\n2677-2678", "766-777", "built at ALCO's Brooks Works"], ["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:... | 1910 | 128 | Answer: |
Table InputTable: [["Series", "Years", "Volumes", "Writer", "Editor", "Remarks"], ["Shelena", "2005", "1", "Jéromine Pasteur", "Casterman", ""], ["Daddy", "1991-92", "2", "Loup Durand", "Cl. Lefrancq", ""], ["Ivan Zourine", "1979", "2", "Jacques Stoquart", "Magic-Strip", ""], ["Les zingari", "2004–2005", "2", "Yvan Del... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | L'affaire Dominici | 128 | Answer: |
Table InputTable: [["Political lieutenant", "District\\n(Area)", "Took Office", "Left Office", "Party leader"], ["Claude Wagner", "Saint-Hyacinthe\\n(Montérégie)", "1972", "1978", "Robert Stanfield\\nJoe Clark"], ["Lucien Bouchard", "Lac-Saint-Jean\\n(Saguenay-Lac-Saint-Jean)", "1988", "1990", "Brian Mulroney"], ["Andr... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Saint-Hyacinthe (Montérégie) | 128 | Answer: |
Table InputTable: [["May 20-21\\n118", "March 9\\n120", "December 25-26\\n122", "October 13-14\\n124", "August 1-2\\n126"], ["May 20, 2012", "March 9, 2016", "December 26, 2019", "October 14, 2023", "August 2, 2027"], ["May 20, 2050", "March 9, 2054", "December 26, 2057", "October 13, 2061", "August 2, 2065"], ["May 21... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2016 | 128 | Answer: |
Table InputTable: [["Series Number", "Season Number", "Episode Title", "Premiere Date", "Production Code"], ["4", "4", "Close Encounters", "November 15, 1998", "104"], ["11", "11", "JB's Big Break", "February 21, 1999", "111"], ["12", "12", "Bottom's Up", "March 7, 1999", "112"], ["1", "1", "Going Up!", "October 25, 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:... | Hot Dog | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["2003", "Homem Objeto", "Eva", ""], ["2002", "O Beijo do Vampiro", "Lara", ""], ["2006", "Dança no Gelo", "Herself", "Reality show of Domingão do Faustão"], ["2013", "A Grande Família", "Bianca", "Cameo"], ["1997", "Zazá", "Dora Dumont", ""], ["2008", "Episódio Es... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Eva | 128 | Answer: |
Table InputTable: [["Round", "Date", "Circuit", "Winning driver (TA2)", "Winning vehicle (TA2)", "Winning driver (TA1)", "Winning vehicle (TA1)"], ["1", "May 21", "Sears Point", "Greg Pickett", "Chevrolet Corvette", "Gene Bothello", "Chevrolet Corvette"], ["7", "August 19", "Mosport", "Greg Pickett", "Chevrolet Corvett... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Political lieutenant", "District\\n(Area)", "Took Office", "Left Office", "Party leader"], ["André Bachand", "Richmond—Arthabaska\\n(Centre-du-Québec &\\nEastern Townships)", "1998", "2004", "Joe Clark\\nPeter MacKay"], ["Benoît Bouchard", "Roberval\\n(Saguenay-Lac-Saint-Jean)", "1990", "1993", "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:... | Joe Clark Peter MacKay | 128 | Answer: |
Table InputTable: [["Series", "Name", "Age", "Hometown", "Occupation", "Status"], ["BB1", "Anna Nolan", "29", "Dublin", "Office Manager", "2nd - Runner-up"], ["BB1", "Craig Phillips", "28", "Liverpool", "Builder", "1st - Winner"], ["BB:CH", "Emilia Arata", "18", "Birmingham", "Circus Performer", "2nd - Runner-up"], ["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:... | 1 year | 128 | Answer: |
Table InputTable: [["School", "Season", "Record", "Conference Record", "Place", "Postseason"], ["Illinois", "1919–20", "9–4", "8–4", "3rd", ""], ["Illinois", "1914–15", "16–0", "12–0", "T1st", "National Champions"], ["Illinois", "1915–16", "13–3", "9–3", "T2nd", ""], ["Illinois", "1918–19", "6–8", "5–7", "5th", ""], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1914-15 | 128 | Answer: |
Table InputTable: [["Specifications", "Foundation", "Essentials", "Standard", "Datacenter"], ["Remote Desktop Services limits", "50 Remote Desktop Services connections", "Gateway only", "Unlimited", "Unlimited"], ["Windows Server Update Services", "No", "Yes", "Yes", "Yes"], ["Network Policy and Access Services limits"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Tournament", "Surface", "Partnering", "Opponent in the final", "Score"], ["2.", "April 4, 2011", "Chile F2", "Clay", "Sergio Galdós", "Guillermo Hormazábal\\n Rodrigo Pérez", "5–7, 7–6(5), [10–5]"], ["5.", "August 5, 2012", "Manta", "Hard", "Renzo Olivo", "Víctor Estrella\\n João Sou... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 | 128 | Answer: |
Table InputTable: [["No", "Name", "Code", "Formed", "Headquarters", "Administrative\\nDivision", "Area (km2)", "Population\\n(2001 census)", "% of State\\nPopulation", "Density\\n(per km2)", "Urban (%)", "Literacy (%)", "Sex Ratio", "Tehsils", "Source"], ["22", "Nashik", "NS", "1 May 1960", "Nashik", "Nashik", "15,530"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "Rider", "Manufacturer", "Time/Retired", "Points"], ["21", "David Garcia", "Yamaha", "+1:33.867", ""], ["20", "Lucas Oliver Bulto", "Yamaha", "+1:25.758", ""], ["13", "Tomomi Manako", "Yamaha", "+27.903", "3"], ["18", "Julien Allemand", "TSR-Honda", "+1:16.347", ""], ["17", "Johann Stigefelt"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Chart Year", "Artist", "Album", "Song", "Billboard Hot 100", "Billboard Hot R&B/Hip Hop", ""], ["2012", "Ciara", "Forthcoming Album", "Got Me Good", "New Single", "", ""], ["2013", "Ciara", "Ciara", "Overdose", "New Single", "", ""], ["2013", "Ciara", "One Woman Army", "Body Party", "34", "", ""], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2012 | 128 | Answer: |
Table InputTable: [["Rank", "City", "Passengers", "Ranking", "Airline"], ["3", "Guerrero, Acapulco", "56,069", "", "Aeroméxico Connect, Interjet"], ["2", "Nuevo León, Monterrey", "106,513", "", "Aeroméxico Connect, Interjet"], ["1", "Quintana Roo, Cancún", "132,046", "", "Aeroméxico Connect, Interjet, Volaris"], ["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:... | Aeroméxico Connect, Interjet, Volaris | 128 | Answer: |
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"], ["Totals:\\n105 Seaso... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ralph Foster | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Canada", "1", "–", "3", "4"], ["1", "Netherlands", "8", "3", "1", "12"], ["7", "Russia", "–", "1", "1", "2"], ["8", "China", "–", "–", "1", "1"], ["2", "Australia", "3", "3", "4", "10"], ["6", "Italy", "–", "2", "1", "3"], ["4", "Hungary... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Hungary | 128 | Answer: |
Table InputTable: [["Departure", "Going to", "Calling at", "Arrival", "Operator"], ["11.01", "Skegness / Mablethorpe", "Boston, Firsby: Part to Skegness. Part to Willoughby, Sutton-on-Sea, Mablethorpe", "12.08 / 12.20", "GNR"], ["19.22", "Boston", "Heckington, Swineshead, Hubbert's Bridge", "19.55", "GNR"], ["07.00", "... | 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:... | 5 | 128 | Answer: |
Table InputTable: [["Common name", "District", "Hebrew", "Arabic", "Population\\n(2009)", "Area\\n(km²)", "Mayor"], ["Migdal HaEmek", "North", "מגדל העמק", "مجدال هعيمق", "23,900", "7.637", "Eliyahu Barda"], ["Safed", "North", "צפת", "صفد", "29,500", "29.248", "Ilan Shohat"], ["Nazareth Illit", "North", "נצרת עילית", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 16 | 128 | Answer: |
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