context stringlengths 362 4.81k | question stringlengths 2.11k 2.25k | answer stringlengths 1 260 | max_new_tokens int64 128 128 | answer_prefix stringclasses 1
value |
|---|---|---|---|---|
Table InputTable: [["Pos", "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"], ["11", "27", "Bryan Herta", "PK Racing", "86", "+ 1 Lap", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Patrick Carpentier | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Score", "Result", "Record"], ["4", "Sept 18", "vs. Toronto Argonauts", "34–6", "Loss", "1–4"], ["5", "Sept 25", "vs. Hamilton Tiger-Cats", "38–12", "Loss", "1–5"], ["8", "Oct 16", "vs. Toronto Argonauts", "27–11", "Loss", "1–9"], ["12", "Nov 13", "vs. Montreal Alouettes"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Common name", "Binomial nomenclature", "Colour", "Density ¹", "Location", "Characteristics, Usage and Status"], ["Deodar", "Cedrus deodara", "Yellowish brown", "560 kg/m³", "Himalayas, Punjab, Uttar Pradesh", "Deodar is the most important timber tree providing soft wood. It can be easily worked and... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Oak | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["17 September 2005", "West Bromwich Albion", "Stadium of Light", "1–1", "31,657", "Breen"], ["25 September 2005", "Middlesbrough", "Riverside Stadium", "2–0", "29,583", "Miller, Arca"], ["10 September 2005", "Chelsea", "Stamford Bridg... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Stadium of Light | 128 | Answer: |
Table InputTable: [["Town name", "County", "Established", "Disestablished", "Current Status", "Remarks"], ["Geneva", "Allen County", "1857", "Post office closed in 1942.", "Little remains of the townsite.", ""], ["Dermot", "Stevens County", "1887", "Post office closed in 1929", "Nothing remains of the townsite.", "The ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Nr.", "Name", "Area (km²)", "Population (2006)", "Capital", "Club(s)"], ["5", "Giza", "85,153", "6,272,571", "Giza", "Zamalek- Tersana"], ["3", "Cairo", "3,435", "7,786,640", "Cairo", "Al-Ahly - Al Mokawloon - ENPPI - El-Jaish - El-Shorta - Itesalat"], ["6", "Ismailia", "1,442", "942,832", "Ismaili... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1,514,069 | 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"], ["Jamie Cureton", "20", "0", "0", "0", "20"], ["OWN GOALS", "0", "0", "0", "0", "0"], ["Liam Sercombe", "1", "0", "0", "0", "1"], ["Pat Baldwin", "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:... | less | 128 | Answer: |
Table InputTable: [["Date", "Team", "Competition", "Round", "Leg", "Opponent", "Location", "Score"], ["July 31", "Genk", "Champions League", "Qual. Round 2", "Leg 1, Home", "Sarajevo", "Cristal Arena, Genk", "1-2"], ["July 7", "Gent", "Intertoto Cup", "Round 2", "Leg 1, Home", "Cliftonville", "Jules Ottenstadion, Ghent... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["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"], ["1918", "Southern In... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | worse | 128 | Answer: |
Table InputTable: [["Date introduced", "Class 1 (e.g. Motorbike)", "Class 2 (e.g. Car)", "Class 3 (e.g. Car with trailer)", "Class 4 (e.g. Van)", "Class 5 (e.g. HGV)"], ["9 December 2003", "£1.00", "£2.00", "£5.00", "£5.00", "£10.00"], ["1 January 2009", "£2.70", "£4.70", "£8.40", "£9.40", "£9.40"], ["1 January 2008", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | £4.00 | 128 | Answer: |
Table InputTable: [["Date", "Opponent", "Venue", "Result", "Attendance", "Scorers"], ["15 August 1992", "Chelsea", "A", "1–1", "20,699", "Henry"], ["17 October 1992", "Sheffield Wednesday", "A", "1–2", "24,485", "Milligan"], ["31 October 1992", "Southampton", "A", "0–1", "10,827", ""], ["29 August 1992", "Manchester Ci... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 29 August 1992 | 128 | Answer: |
Table InputTable: [["#", "Episode", "Air Date", "Timeslot", "Rating", "Share", "18-49", "Viewers", "Weekly Rank"], ["7", "\"A Family Affair\"", "June 18, 2008", "9:00 P.M.", "1.5", "3", "0.8/2 (#5)", "2.00 (#5)", "TBA"], ["3", "\"Wet 'n Wild\"", "May 14, 2008", "9:00 P.M.", "1.3", "2", "0.9/2 (#5)", "1.96 (#5)", "90/96... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Season", "Date", "Location", "Discipline", "Place"], ["2012", "2 Dec 2011", "Lake Louise, Canada", "Downhill", "2nd"], ["2012", "28 Jan 2012", "St. Moritz, Switzerland", "Downhill", "3rd"], ["2013", "30 Nov 2012", "Lake Louise, Canada", "Downhill", "3rd"], ["2014", "7 Dec 2013", "Lake Louise, Canad... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Downhill | 128 | Answer: |
Table InputTable: [["President", "Became Oldest Living President", "Ceased to Be Oldest Living President", "Age at Start Date", "Age at End Date", "Duration (Years, Days)", "Duration (Days)"], ["George H. W. Bush", "December 26, 2006", "Current oldest living president", "82 years, 197 days", "Current oldest living pres... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Theodore Roosevelt | 128 | Answer: |
Table InputTable: [["Model", "Fuel Type", "mpg (US gallons)", "L/100 km", "NZ Rating\\n(Stars)"], ["Volkswagen Crosstouran 103KW TDI 6DSG", "diesel", "34.6", "6.8", "4.5"], ["Volkswagen Jetta TDI 103KW 6DSG", "diesel", "37.9", "6.2", "4.5"], ["Volkswagen Touran 103KW TDI 6DSG", "diesel", "34.6", "6.8", "4.5"], ["Mini 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:... | 110 | 128 | Answer: |
Table InputTable: [["Rank", "Diver", "Nationality", "Preliminary\\nPoints", "Preliminary\\nRank", "Final\\nPoints", "Final\\nRank"], ["", "Shi Tingmao", "China", "294.65", "2", "318.65", "1"], ["29", "Yuka Mabuchi", "Japan", "219.50", "29", "", ""], ["20", "Sayaka Shibusawa", "Japan", "240.80", "20", "", ""], ["40", "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:... | 306.65 | 128 | Answer: |
Table InputTable: [["Name", "City", "State/Country", "Designed", "Completed", "Other Information"], ["Case Study House #9", "Los Angeles", "California", "1945", "1949", "With Charles Eames. Saarinen also provided an original plan for House #8, but Eames completely redesigned it. Listed on the National Register of Histo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 44 | 128 | Answer: |
Table InputTable: [["Team", "City", "Years active", "Seasons played", "Win–loss record", "Win%", "Playoffs appearances"], ["St. Louis Bombers", "St. Louis, Missouri", "1946–1950", "4", "122–115", ".515", "3"], ["Chicago Stags", "Chicago, Illinois", "1946–1950", "4", "145–92", ".612", "4"], ["Indianapolis Jets", "Indian... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Baltimore Bullets | 128 | Answer: |
Table InputTable: [["Name", "Nationality", "From", "To", "Honours", "Comments"], ["Christian Andersen", "Denmark", "11 July 2009", "19 June 2010", "Team was relegated to third tier", "Club went bankrupt after the season"], ["Ebbe Skovdahl", "Denmark", "11 October 2003", "6 November 2005", "Team was relegated to second ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Association", "Joining year", "Men's team", "Women's team", "League"], ["Mongolia", "2002", "Mongolia", "Mongolia", "Mongolia Premier League"], ["Northern Mariana Islands", "2008 1", "Northern Mariana Islands", "Northern Mariana Islands", "Northern Mariana Championship"], ["Japan", "2002", "Japan",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2002 | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["1994–1999", "Sister, Sister", "Tamera Campbell", "119 episodes"], ["2004–2006", "Strong Medicine", "Dr. Kayla Thorton", "37 episodes"], ["2006–2007", "Family Guy", "Esther", "Voice\\n3 episodes"], ["2011", "Access Hollywood Live", "Herself", "Co-host"], ["2009", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Strong Medicine | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Engine", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["26", "27", "James Hinchcliffe", "Andretti Autosport", "Chevrolet", "35", "Mechanical", "10", "0", "10"], ["3", "10", "Dario Franchitti", "Chip Ganassi Racing", "Honda", "85", "+ 1.0497", "6", "0", "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:... | Tony Kanaan | 128 | Answer: |
Table InputTable: [["Season", "Club", "Competition", "Games", "Goals"], ["2009/10", "Győri ETO FC", "Soproni Liga", "1", "0"], ["2002/03", "RAEC Mons", "Jupiler League", "19", "0"], ["2008/09", "Excelsior Mouscron", "Jupiler League", "31", "1"], ["2005/06", "KSV Roeselare", "Jupiler League", "26", "0"], ["2009/10", "Ex... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | KSV Roeselare | 128 | Answer: |
Table InputTable: [["Speed", "Date", "Country", "Train", "Arr.", "Power", "State", "Comments"], ["182.4 km/h (113 mph)", "1972-10-11", "Germany", "BR 18 201", "Loc", "Steam", "Unkn.", "The fastest operational steam locomotive as of 2011.[citation needed]"], ["131.6 km/h (82 mph)", "1854-06", "UK", "Bristol & Exeter Rai... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | BR 18 201 | 128 | Answer: |
Table InputTable: [["#", "Weekend End Date", "Film", "Box Office"], ["9", "March 1, 1998", "Titanic", "£3,403,199"], ["8", "February 22, 1998", "Titanic", "£3,657,613"], ["7", "February 15, 1998", "Titanic", "£3,849,120"], ["11", "March 15, 1998", "Titanic", "£2,469,191"], ["13", "March 29, 1998", "Titanic", "£2,223,04... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 weeks | 128 | Answer: |
Table InputTable: [["Year", "State/Territory Men's Division", "State/Territory Women's Division", "Major Centres Division", "Community Division", "Women's Division"], ["2001", "Tasmania", "", "", "", ""], ["2002", "Northern Territory", "", "Darwin", "", ""], ["2003", "New South Wales", "", "Darwin", "", ""], ["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:... | 11 | 128 | Answer: |
Table InputTable: [["Match", "Date", "Venue", "Opponents", "Score"], ["Quarterfinals-2", "2006..", "[[]]", "[[]]", "-"], ["Quarterfinals-1", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-2", "2006..", "[[]]", "[[]]", "-"], ["Semifinals-1", "2006..", "[[]]", "[[]]", "-"], ["GL-A-2", "2006..", "[[]]", "[[]]", "-"], ["GL-A... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Semifinals-1 | 128 | Answer: |
Table InputTable: [["#", "Name", "Height", "Weight (lbs.)", "Position", "Class", "Hometown", "Previous Team(s)"], ["20", "Ryan Appleby", "6'3\"", "170", "G", "Sr.", "Stanwood, WA, U.S.", "Florida"], ["32", "Joe Wolfinger", "7'0\"", "255", "C", "RS So.", "Portland, OR, U.S.", "Northfield Mount Hermon School"], ["44", "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:... | Joe Wolfinger | 128 | Answer: |
Table InputTable: [["Pos", "No.", "Driver", "Team", "Engine", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["21", "83", "Charlie Kimball", "Chip Ganassi Racing", "Honda", "82", "+ 3 laps", "21", "0", "12"], ["2", "12", "Will Power", "Team Penske", "Chevrolet", "85", "+ 0.4408", "1", "57", "43"], ["12", "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:... | 85 | 128 | Answer: |
Table InputTable: [["District\\nbalance\\n[clarification needed]", "Area\\nkm2", "Area\\nsq mi", "Pop.\\n1998", "Pop.\\n2008", "Pop./km²\\n2008"], ["Sandy Bay", "15.3", "5.9", "254", "205", "13.4"], ["Blue Hill", "36.5", "14.1", "177", "153", "4.2"], ["Levelwood", "14.0", "5.4", "376", "316", "22.6"], ["Half Tree Hollo... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sandy Bay | 128 | Answer: |
Table InputTable: [["State\\n(linked to\\nsummaries below)", "Incumbent\\nSenator", "Incumbent\\nParty", "Incumbent\\nElectoral\\nhistory", "Most recent election results", "2018 intent", "Candidates"], ["Virginia", "Tim Kaine", "Democratic", "Tim Kaine (D) 52.9%\\nGeorge Allen (R) 47%", "2012", "[Data unknown/missing. ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 23 | 128 | Answer: |
Table InputTable: [["#", "Date", "Venue", "Opponent", "Score", "Result", "Competition"], ["6.", "8 September 1999", "Vivero, Badajoz, Spain", "Cyprus", "4–0", "8–0", "Euro 2000 qualifying"], ["4.", "8 September 1999", "Vivero, Badajoz, Spain", "Cyprus", "1–0", "8–0", "Euro 2000 qualifying"], ["2.", "27 March 1999", "Me... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2.5 | 128 | Answer: |
Table InputTable: [["Rank", "Pair", "Name", "Country", "Time", "Time behind"], ["8", "18", "Stefan Groothuis", "Netherlands", "1:09.57", "+0.68"], ["–", "6", "Erik Zachrisson", "Sweden", "DQ", "–"], ["16", "7", "François-Olivier Roberge", "Canada", "1:10.20", "+1.31"], ["–", "2", "Ermanno Ioriatti", "Italy", "DQ", "–"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yevgeny Lalenkov | 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)]"], ["PG42", "54.0 (2.126)", "16", "0.0625 (1.5875)", "52.48 (2.066)", ""], ["PG48", "59.3 (2.335)", "16", "0.0625 (1.5875)", "57.78 (2.275... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: |
Table InputTable: [["Season", "League\\nPos.", "League\\nCompetition", "League\\nTop scorer", "Danish Cup", "Europe", "Others"], ["1984-85", "1", "1985 1st Division", "Claus Nielsen (17)", "3rd round", "", ""], ["1985-86", "2", "1986 1st Division", "Claus Nielsen (16)", "Quarter-final", "", ""], ["1986-87", "1", "1987 ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Outcome", "No.", "Date", "Tournament", "Surface", "Opponent", "Score"], ["Winner", "4.", "20 June 2011", "Rome, Italy", "Clay", "Laura Thorpe", "6–3, 6–0"], ["Runner-up", "1.", "6 October 2003", "Bari, Italy", "Clay", "Bettina Pirker", "6–2, 7–5"], ["Runner-up", "6.", "3 April 2007", "Dinan, 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:... | 17 | 128 | Answer: |
Table InputTable: [["Contestant", "Original Tribe", "Switched Tribe", "Merged Tribe", "Finish", "Total Votes"], ["Aleksandr Pashutin\\n60.the actor", "Barracudas", "", "", "3rd Voted Out\\nDay 9", "7"], ["Kris Kelmi\\n47.the singer", "Barracudas", "", "", "2nd Voted Out\\nDay 6", "1"], ["Aleksandr Lykov\\n41.the actor"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Yelena Kondulaynen 44.the actress | 128 | Answer: |
Table InputTable: [["Specifications", "Foundation", "Essentials", "Standard", "Datacenter"], ["Licensing model", "Per server", "Per server", "Per CPU pair + CAL", "Per CPU pair + CAL"], ["Processor chip limit", "1", "2", "64", "64"], ["Distribution", "OEM only", "Retail, volume licensing, OEM", "Retail, volume licensin... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Name", "Nationality", "Time", "Notes"], ["7", "8", "Grant Patterson", "Australia", "55.49", ""], ["3", "3", "Kyunghyun Kim", "South Korea", "40.37", "Q"], ["2", "4", "David Smetanine", "France", "38.97", "Q"], ["1", "5", "Eskender Mustafaiev", "Ukraine", "38.77", "Q"], ["4", "6", "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:... | Ukraine | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Name", "Nationality", "Time", "Notes"], ["6", "2", "Ronystony Cordeiro da Silva", "Brazil", "44.22", ""], ["7", "8", "Grant Patterson", "Australia", "55.49", ""], ["8", "1", "Arnulfo Castorena", "Mexico", "1:03.49", ""], ["5", "7", "Arnost Petracek", "Czech Republic", "43.12", ""], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Opponents", "Venue", "Result", "Scorers", "Attendance"], ["19 Feb 1921", "Crystal Palace", "A", "0–2", "", "7,000"], ["11 Dec 1920", "Watford", "A", "1–5", "Wright", "7,000"], ["4 Dec 1920", "Watford", "H", "0–2", "", "6,000"], ["12 Feb 1921", "Crystal Palace", "H", "0–1", "", "12,000"], ["... | 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:... | 42 | 128 | Answer: |
Table InputTable: [["Season", "Conference", "Head Coach", "Total Wins", "Total Losses", "Total Ties", "Conference Wins", "Conference Losses", "Conference Ties", "Conference Standing", "Postseason Result"], ["Totals:\\n105 Seasons", "2 Conferences", "23 Head Coaches", "Total\\nWins\\n473", "Total\\nLosses\\n536", "Total... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Sidney Smith | 128 | Answer: |
Table InputTable: [["Publication", "Country", "Accolade", "Year", "Rank"], ["NME", "United Kingdom", "All Times Top 100 Albums + Top 50 by Decade", "1993", "145"], ["NME", "United Kingdom", "All Times Top 100 Albums", "1985", "46"], ["The Times", "United Kingdom", "The 100 Best Albums of All Time", "1993", "58"], ["The... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["7", "36", "Bob Anderson", "Brabham-Climax", "44", "+ 4 laps", "12", ""], ["6", "44", "John Taylor", "Brabham-BRM", "45", "+ 3 laps", "15", "1"], ["3", "14", "Denny Hulme", "Brabham-Repco", "46", "+ 2 laps", "9", "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:... | Jack Brabham, Mike Parkes, Denny Hulme, Jochen Rindt, Dan Gurney | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2003", "All-Africa Games", "Abuja, Nigeria", "11th (h)", "800 m", "2:05.19"], ["2011", "All-Africa Games", "Maputo, Mozambique", "12th (h)", "800 m", "2:06.72"], ["2009", "Lusophony Games", "Lisbon, Portugal", "4th", "800 m", "2:07.48"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | no | 128 | Answer: |
Table InputTable: [["Model", "Volume", "Engine", "Fuel", "Power/Torque", "Years produced", "Produced"], ["730i", "3.0L", "M60B30 V8", "Petrol", "160 kW (218 PS; 215 hp) / 290 N·m (214 lb·ft)", "1994–1996", "20876"], ["735iL", "3.5L", "M62B35 V8", "Petrol", "173 kW (235 PS; 232 hp) / 320 N·m (236 lb·ft)", "1994–1997", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 750i-iL | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2001", "World Youth Championships", "Debrecen, Hungary", "4th", "400 m", ""], ["2006", "Asian Games", "Doha, Qatar", "1st", "400 m", ""], ["2006", "Asian Games", "Doha, Qatar", "2nd", "4x400 m relay", ""], ["2005", "Asian 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:... | 1 year | 128 | Answer: |
Table InputTable: [["No. in\\nseason", "No. in\\nseries", "Title", "Canadian airdate", "US airdate", "Production code"], ["11", "328", "\"You Oughta Know\"", "October 17, 2013", "October 17, 2013", "1311"], ["8", "325", "\"Young Forever\"", "August 22, 2013", "August 22, 2013", "1308"], ["18", "335", "\"Better Man\"", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | "Everything You've Done Wrong" | 128 | Answer: |
Table InputTable: [["Date", "Time", "", "Score", "", "Set 1", "Set 2", "Set 3", "Set 4", "Set 5", "Total", "Report"], ["17 Nov", "14:00", "Canada", "3–0", "Kazakhstan", "25–21", "26–24", "25–21", "", "", "76–66", "P2 P3"], ["22 Nov", "16:00", "Canada", "0–3", "Serbia and Montenegro", "18–25", "18–25", "17–25", "", "", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 7 | 128 | Answer: |
Table InputTable: [["Name", "City", "State/Country", "Designed", "Completed", "Other Information"], ["Swedish Theatre", "Helsinki", "Finland", "1935", "1936", "Remodel. With Eliel Saarinen"], ["Case Study House #9", "Los Angeles", "California", "1945", "1949", "With Charles Eames. Saarinen also provided an original 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:... | Charles Eames | 128 | Answer: |
Table InputTable: [["Rnd", "Circuit", "GTP Winning Team\\nGTP Winning Drivers", "GTO Winning Team\\nGTO Winning Drivers", "GTU Winning Team\\nGTU Winning Drivers", "Results"], ["17", "Daytona", "#14 Holbert Racing", "#67 Roush Racing", "#87 Performance Motorsports", "Results"], ["12", "Sears Point", "#56 Blue Thunder 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:... | 1 | 128 | Answer: |
Table InputTable: [["Wrestler:", "Reigns:", "Date:", "Place:", "Notes:"], ["Sean Morley", "2", "May 30, 1996", "Caguas, Puerto Rico", "Joins the WWF in 1997, but is still recognized as champion; title becomes vacant on March 3, 1999."], ["Glamour Boy Shane", "1", "April 2, 1999", "Guaynabo, Puerto Rico", "Defeated \"Ju... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Dick Murdoch | 128 | Answer: |
Table InputTable: [["Name", "Route number(s)", "Length (mi)", "Location", "Notes"], ["Horseneck Beach Connector", "*", "13.03", "Westport", "Route 88 serves as a connector running from the Horseneck Beach Reservation north to I-195 Exit 10 in Westport."], ["Pilgrims Highway", "", "42.5", "Bourne to Braintree", "The Pil... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 27.88 | 128 | Answer: |
Table InputTable: [["Conference", "# of Bids", "Record", "Win %", "Round\\nof 32", "Sweet\\nSixteen", "Elite\\nEight", "Final\\nFour", "Championship\\nGame"], ["Sun Belt", "2", "6–2", ".750", "2", "1", "1", "1", "1"], ["Southeastern", "6", "10–6", ".625", "5", "3", "1", "1", "–"], ["Southwest", "4", "5–4", ".556", "3",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["#", "Title", "Singer(s)", "Lyricist", "Length"], ["5", "\"O Janewale\"", "Lata Mangeshkar", "Hasrat Jaipuri", "2:20"], ["2", "\"Ichak Dana Beechak Dana\"", "Mukesh, Lata Mangeshkar", "Hasrat Jaipuri", "5:08"], ["1", "\"Dil Ka Haal Sune Dilwaala\"", "Manna Dey", "Shailendra", "5:36"], ["7", "\"Ramai... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Mudh Mudh Ke Na Dekh | 128 | Answer: |
Table InputTable: [["Year", "Winner", "Age", "Jockey", "Trainer", "Owner", "Distance\\n(Miles)", "Time", "Purse", "Gr"], ["1959", "Easy Spur", "3", "Bill Hartack", "Paul L. Kelley", "Spring Hill Farm", "1-1/8", "1:47.20", "", ""], ["1968", "Forward Pass", "3", "Don Brumfield", "Henry Forrest", "Calumet Farm", "1-1/8", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Bally Ache | 128 | Answer: |
Table InputTable: [["Year", "Supporting Actor", "Motion Picture", "Nominees"], ["1995", "Al Freeman, Jr.", "Malcolm X", "Delroy Lindo- Malcolm X\\nDenzel Washington- Much Ado About Nothing\\nForest Whitaker- The Crying Game\\nWolfgang Bodison- A Few Good Men"], ["2007", "Djimon Hounsou", "Blood Diamond", "Eddie Murphy-... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Morgan Freeman | 128 | Answer: |
Table InputTable: [["Rnd", "Circuit", "GTP Winning Team\\nGTP Winning Drivers", "GTO Winning Team\\nGTO Winning Drivers", "GTU Winning Team\\nGTU Winning Drivers", "Results"], ["2", "Miami", "#04 Group 44", "#47 Dingman Bros. Racing", "#99 All American Racers", "Results"], ["4", "Road Atlanta", "#16 Marty Hinze 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 | 128 | Answer: |
Table InputTable: [["Year", "Class", "No", "Tyres", "Car", "Team", "Co-Drivers", "Laps", "Pos.", "Class\\nPos."], ["1974", "S\\n3.0", "15", "", "Ligier JS2\\nMaserati 3.0L V6", "Automobiles Ligier", "Alain Serpaggi", "310", "8th", "5th"], ["1973", "S\\n3.0", "62", "", "Ligier JS2\\nMaserati 3.0L V6", "Automobiles Ligie... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 3 | 128 | Answer: |
Table InputTable: [["Rank", "Lane", "Name", "Nationality", "Time", "Notes"], ["8", "1", "Arnulfo Castorena", "Mexico", "1:03.49", ""], ["7", "8", "Grant Patterson", "Australia", "55.49", ""], ["1", "5", "Eskender Mustafaiev", "Ukraine", "38.77", "Q"], ["2", "4", "David Smetanine", "France", "38.97", "Q"], ["5", "7", "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:... | 24.72 | 128 | Answer: |
Table InputTable: [["#", "Name", "Took office", "Left office", "Party", "Governor", "Notes"], ["5", "Milton Stapp", "December 3, 1828", "December 7, 1831", "Independent", "James B. Ray", ""], ["31", "F. Harold Van Orman", "January 12, 1925", "January 14, 1929", "Republican", "Edward L. Jackson", ""], ["36", "Richard 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:... | Milton Stapp | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event", "Notes"], ["2011", "World Championships", "Daegu, South Korea", "48th (h)", "200 m", "21.45"], ["2011", "Asian Championships", "Kobe, Jpan", "3rd", "200 m", "20.97"], ["2008", "World Indoor Championships", "Valencia, Spain", "28th (h)", "60 m", "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:... | 2009 | 128 | Answer: |
Table InputTable: [["Site", "Municipality", "Comments", "Coordinates", "Type", "Ref."], ["Jōdo-ji Gardens\\n浄土寺庭園\\nJōdoji teien", "Onomichi", "", "34°24′44″N 133°12′36″E / 34.41222952°N 133.21012266°E", "1", "[6]"], ["Peace Memorial Park\\n平和記念公園\\nHeiwa kinen kōen", "Hiroshima", "the Hiroshima Peace Memorial (Genba... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Place", "Player", "Country", "Score", "To par", "Money ($)"], ["T4", "Phil Mickelson", "United States", "68-70-72-74=284", "+4", "66,633"], ["1", "Corey Pavin", "United States", "72-69-71-68=280", "E", "350,000"], ["3", "Tom Lehman", "United States", "70-72-67-74=283", "+3", "131,974"], ["T10", "Vi... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pick #", "Player", "Position", "Nationality", "NHL team", "College/junior/club team"], ["159", "Johan Mellstrom", "Left Wing", "Sweden", "Chicago Black Hawks", "Falun (Sweden)"], ["157", "Petri Skriko", "Right Wing", "Finland", "Vancouver Canucks", "Saipa (Finland)"], ["149", "Rick Zombo", "Defence... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Johan Mellstrom | 128 | Answer: |
Table InputTable: [["Chord", "Root", "Minor Third", "Perfect Fifth", "Major Seventh"], ["AmM7", "A", "C", "E", "G♯"], ["CmM7", "C", "E♭", "G", "B"], ["C♯mM7", "C♯", "E", "G♯", "B♯ (C)"], ["GmM7", "G", "B♭", "D", "F♯"], ["B♭mM7", "B♭", "D♭", "F", "A"], ["G♯mM7", "G♯", "B", "D♯", "F (G)"], ["D♯mM7", "D♯", "F♯", "A♯", "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:... | 17 | 128 | Answer: |
Table InputTable: [["Year", "Name", "Year", "Name", "Year", "Name"], ["1903-04", "Mr B. Owen- Jones", "1935-36", "Mr W.Pearce", "1967-68", "Mr J.F.Serfontein"], ["1905-06", "Mr G. Constable", "1937 -38", "", "1969-70", ""], ["1910-11", "", "1942-43", "Mr P.Venter", "1974-75", ""], ["1917-18", "Mr A.Ruffels", "1949-50",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1910-11 | 128 | Answer: |
Table InputTable: [["No.", "Date", "Tournament", "Winning score", "Margin of\\nvictory", "Runner(s)-up"], ["1", "3 Nov 2002", "Philip Morris K.K. Championship", "−19 (65-67-67-70=269)", "2 strokes", "Toshimitsu Izawa"], ["11", "15 Apr 2012", "Token Homemate Cup", "−15 (68-69-70-62=269)", "2 strokes", "Ryuichi Oda"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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 strokes | 128 | Answer: |
Table InputTable: [["Year", "Title", "Role", "Notes"], ["1999", "Terra Nostra", "Hannah", "Cameo"], ["2007", "Paraíso Tropical", "Betina Monteiro", "Cameo"], ["1995", "A Próxima Vítima", "Carina Carvalho Rossi", ""], ["1996", "Vira-Lata", "Tatu / Bárbara", ""], ["1997", "Zazá", "Dora Dumont", ""], ["1994", "Confissões ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Você Decide | 128 | Answer: |
Table InputTable: [["Month", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec", "Year"], ["Mean monthly sunshine hours", "0", "28", "93", "180", "279", "300", "279", "217", "120", "62", "30", "0", "1,588"], ["Average low °C (°F)", "−17\\n(1)", "−18\\n(0)", "−19\\n(−2)", "−12\\n(10)", "−... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | December | 128 | Answer: |
Table InputTable: [["Season", "Competition", "Round", "Club", "Home", "Away"], ["2011–12", "UEFA Europa League", "1QR", "FK Budućnost", "1–2", "3–1"], ["", "", "2QR", "FK Jablonec 97", "0–2", "1–5"], ["1987–88", "UEFA Cup", "1/16", "FC Barcelona", "1–0", "1–4"], ["1986–87", "UEFA Cup", "1R", "FC Barcelona", "1–1", "0–0... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Name", "Nationality", "From", "To", "Honours", "Comments"], ["René Heitmann", "Denmark", "17 July 2010", "27 July 2010", "", "Never coached the team in a match"], ["John 'Tune' Kristiansen", "Denmark", "18 June 2012", "23 June 2012", "", "Caretaker for one league match"], ["Ebbe Skovdahl", "Denmark... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | John 'Tune' Kristiansen | 128 | Answer: |
Table InputTable: [["No. in\\nseries", "No. in\\nseason", "Title", "Directed by", "Written by", "Original air date", "Prod.\\ncode"], ["27", "26", "\"There was a Little Girl\"", "John Rich", "Teleplay by: Stephen Kandell Story by: Robert Bloch", "April 6, 1966", "126"], ["25", "24", "\"Crusade to Limbo\"", "Richard Sar... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Robert Culp | 128 | Answer: |
Table InputTable: [["Series", "Name", "Age", "Hometown", "Occupation", "Status"], ["BB4", "Sissy (Joanne) Rooney", "26", "Liverpool", "Store Assistant", "11th - Evicted"], ["BB7", "Mikey Dalton", "22", "Liverpool", "Software Developer/Model", "9th - Evicted"], ["BB6", "Roberto Conte", "32", "Liverpool", "Teacher", "13t... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Subject", "Robot's Name", "Who?", "When?", "Where?", "Occupation"], ["Boomerang", "Oswald the Mailman Robot", "Aborigines", "40,000 years ago", "Australia", "Mailman"], ["Bicycle", "Booster-Bot", "Karl von Drais", "1816", "Germany", "Rocket Man"], ["Tools", "Hank the Handyman Robot", "Stone-Age Hum... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 12 | 128 | Answer: |
Table InputTable: [["Rank", "Player", "From", "Transfer Fee\\n(€ millions)", "Year"], ["5.", "Alex Song", "Arsenal", "19.0", "2012"], ["4.", "Javier Mascherano", "Liverpool", "26.8", "2010"], ["2.", "Cesc Fàbregas", "Arsenal", "29+5(variables)", "2011"], ["3.", "Alexis Sánchez", "Udinese", "26+11(add ons)", "2011"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Jordi Alba | 128 | Answer: |
Table InputTable: [["Year", "Competition", "Venue", "Position", "Event"], ["2004", "World Athletics Final", "Monte Carlo, Monaco", "4th", "3000 m st."], ["2005", "World Athletics Final", "Monte Carlo, Monaco", "8th", "3000 m st."], ["2001", "IAAF Grand Prix Final", "Melbourne, Australia", "4th", "3000 m st."], ["1996",... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["Represented", "Contestant", "Age", "Height", "Hometown"], ["Santo Domingo", "Yisney Lina Lagrange Méndez", "19", "1.82", "Pedro Brand"], ["Independencia", "Joany Marleny Sosa Peralta", "20", "1.82", "Jimaní"], ["Santiago", "Karina Luisa Betances Cabrera", "21", "1.80", "Santiago de los Caballeros"]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Week", "Date", "Opponent", "Result", "Attendance"], ["10", "November 6, 1988", "Green Bay Packers", "W 20–0", "29,952"], ["11", "November 13, 1988", "San Diego Chargers", "L 10–7", "26,329"], ["12", "November 20, 1988", "at Los Angeles Raiders", "W 12–6", "40,967"], ["6", "October 9, 1988", "Los An... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 2 | 128 | Answer: |
Table InputTable: [["No.", "Date/time", "Aircraft", "Foe", "Result", "Location", "Notes"], ["6", "23 May 1917 @ 1800 hours", "Sopwith Triplane s/n N5460", "Albatros D.III", "Driven down out of control", "Douai, France", ""], ["4", "11 May 1917 @ 1950 hours", "Sopwith Triplane s/n N5460", "Albatros D.III", "Driven down ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Round", "Pick", "Name", "Position", "College"], ["6", "170", "Frank Murphy", "WR", "Kansas State"], ["4", "125", "Reggie Austin", "DB", "Wake Forest"], ["6", "174", "Paul Edinger", "K", "Michigan State"], ["7", "223", "James Cotton", "DE", "Ohio State"], ["3", "69", "Dez White", "WR", "Georgia Tech... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Brian Urlacher | 128 | Answer: |
Table InputTable: [["Represents", "Contestant", "Age", "Height", "Hometown"], ["Panamá Centro", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Bocas del Toro", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Panamá Este", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Comarcas", "TBD", "TBD", "0.0 m (0 in)", "TBD"], ["Chiriquí Occidente", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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", "Competition", "Location", "Country", "Event", "Placing", "Rider", "Nationality"], ["1 November 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "500 m time trial", "1", "Victoria Pendleton", "GBR"], ["31 October 2008", "2008–09 World Cup", "Manchester", "United Kingdom", "Sprint"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Callsign", "Area served", "Frequency", "Band", "Fate", "Freq currently", "Purpose"], ["7UV", "Ulverstone", "", "AM", "Moved to Devonport and changed call to 7AD in 1940", "7AD", "Commercial"], ["7QT", "Queenstown", "0837", "AM", "Changed call to 7XS in 1988", "7XS", "Commercial"], ["7DY", "Derby", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Ulverstone | 128 | Answer: |
Table InputTable: [["Num", "Pod Color", "Nickname", "Short Description", "Episode"], ["017", "", "Lidds", "", "Leroy & Stitch"], ["049", "White", "Picker", "This experiment was seen in pod form in Stitch! The Movie. His pod says 49 instead of 049, possibly due to the angle. Function unknown.", "Stitch! The Movie"], ["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:... | 99 | 128 | Answer: |
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:... | 5 | 128 | Answer: |
Table InputTable: [["Rank", "Nation", "Gold", "Silver", "Bronze", "Total"], ["5", "Argentina", "1", "2", "5", "8"], ["9", "Uruguay", "0", "0", "1", "1"], ["3", "Colombia", "2", "3", "4", "9"], ["7", "Ecuador", "0", "2", "2", "4"], ["1", "Brazil", "7", "5", "3", "15"], ["2", "Venezuela", "3", "2", "8", "13"], ["9", "Net... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 17 | 128 | Answer: |
Table InputTable: [["Week", "Date", "Opponent", "Results\\nFinal score", "Results\\nTeam record", "Venue", "Attendance"], ["3", "October 1", "Miami Dolphins", "L 16–14", "1–2", "Metropolitan Stadium", "47,900"], ["11", "November 26", "at Pittsburgh Steelers", "L 23–10", "6–5", "Three Rivers Stadium", "50,348"], ["8", "... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 47,900 | 128 | Answer: |
Table InputTable: [["No.", "Score", "Player", "Team", "Balls", "Inns.", "Opposing team", "Date", "Result"], ["6", "154", "Vijay Merchant", "India", "NR", "2", "England", "2 November 1951", "Drawn"], ["17", "112", "Polly Umrigar", "India", "NR", "1", "Pakistan", "8 February 1961", "Drawn"], ["20", "189*", "Vijay Manjrek... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Umrigar | 128 | Answer: |
Table InputTable: [["Year", "Kit Manufacturer", "Shirt Sponsor", "Back of Shirt Sponsor", "Short Sponsor"], ["1982–1985", "Umbro", "", "", ""], ["1985–1986", "Umbro", "Whitbread", "", ""], ["1995–1996", "Matchwinner", "Empress", "", ""], ["1991–1993", "Technik", "Gulf Oil", "", ""], ["1999–2004", "Errea", "Towergate In... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Henson | 128 | Answer: |
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."], ["Winner", "2.", "23 October 2011", "Kremlin Cup, Russia", "Hard (i)", "Viktor Troicki", "6–4, 6–2... | 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:... | Milos Raonic | 128 | Answer: |
Table InputTable: [["Year", "Title", "Genre", "Publisher", "Notes"], ["1939", "Knights of the Range", "Western", "Harper & Brothers", ""], ["1928", "Avalanche", "Western", "Harper & Brothers", ""], ["1943", "Omnibus", "Western", "Harper & Brothers", ""], ["1959", "Horse Heaven Hill", "Western", "Harper & Brothers", ""]... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Western | 128 | Answer: |
Table InputTable: [["Pos", "No", "Driver", "Constructor", "Laps", "Time/Retired", "Grid", "Points"], ["7", "36", "Bob Anderson", "Brabham-Climax", "44", "+ 4 laps", "12", ""], ["3", "14", "Denny Hulme", "Brabham-Repco", "46", "+ 2 laps", "9", "4"], ["1", "12", "Jack Brabham", "Brabham-Repco", "48", "1:48:31.3", "4", "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:... | Jack Brabham, Mike Parkes | 128 | Answer: |
Table InputTable: [["Week", "Date", "TV Time", "Opponent", "Result", "Attendance"], ["4", "September 27, 1998", "FOX 10:00 am MT", "at St. Louis Rams", "W 20–17", "55,832"], ["15", "December 13, 1998", "FOX 11:00 am MT", "at Philadelphia Eagles", "W 20–17", "62,176"], ["9", "November 1, 1998", "FOX 11:00 am MT", "at De... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 45 | 128 | Answer: |
Table InputTable: [["Position", "Sail Number", "Yacht", "State/Country", "Yacht Type", "LOA\\n(Metres)", "Skipper", "Elapsed Time\\nd:hh:mm:ss"], ["4", "AUS70", "Ragamuffin", "NSW", "Farr 50", "15.15", "Syd Fischer", "3:06:11:29"], ["7", "6606", "Quest", "NSW", "Nelson Marek 46", "14.12", "Bob Steel", "3:14:41:28"], ["... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Pos", "No.", "Driver", "Team", "Engine", "Laps", "Time/Retired", "Grid", "Laps Led", "Points"], ["16", "5", "E.J. Viso", "KV Racing Technology", "Chevrolet", "84", "+ 1 lap", "17", "0", "14"], ["4", "8", "Rubens Barrichello", "KV Racing Technology", "Chevrolet", "85", "+ 8.8529", "11", "0", "32"], ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | Chevrolet | 128 | Answer: |
Table InputTable: [["Iteration", "Dates", "Location", "Attendance", "Notes"], ["GameStorm 15", "March 21–24, 2013", "Hilton - Vancouver, WA", "1188", ""], ["GameStorm 10", "March 2008", "Red Lion - Vancouver, WA", "750", "-"], ["GameStorm 12", "March 25–28, 2010", "Hilton - Vancouver, WA", "802", "Board games Guest of ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1188 | 128 | Answer: |
Table InputTable: [["Rank", "Name", "Club", "Nationality", "Points"], ["25", "Jakob Kühn", "Zürich", "Switzerland", "1"], ["4", "Paul Van Himst", "Anderlecht", "Belgium", "25"], ["25", "Sigfried Held", "Borussia Dortmund", "West Germany", "1"], ["17", "Philippe Gondet", "Nantes", "France", "2"], ["25", "Ivor Allchurch"... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a 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: [["Builder", "Works numbers", "Dates", "CN numbers", "GT numbers", "Notes"], ["MLW", "45163-45182", "1908", "2627-2646", "631-650", ""], ["ALCO", "42046-42060\\n43540-43554", "1907", "2567-2576\\n2606-2615\\n2664-2665\\n2669-2676", "706-720\\n752\\n755\\n758\\n761\\n763", ""], ["MLW", "39548-39562\\n4... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 1906 | 128 | Answer: |
Table InputTable: [["Language", "2001 census[1]\\n(total population 1,004.59 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", "1991 censusIndian Census [2]\\n(total population 838.14 million)", ""], ["Bodo", "1,350,478", "0.13%", "1,221,881", "0.146%"], ["Gondi", "2,713,790", "2,124,852", ... | You are a question-answering model specialized in tabular data.
I will provide you with a table in a list-of-lists format (where the first row is the header) and a single natural language question.
Your task is to extract the exact table cell value(s) that directly answer the provided question. Follow these guidelines:... | 89.17 | 128 | Answer: |
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